Forex Trading Books

Selection of recommended books about forex trading:

Forex for Beginners: How to Make Money in Forex Trading (Currency Trading Strategies)

Here's How You Can Make Money Trading Forex
The purpose of this book is to show you how to make money trading Forex. Thousands of people, all over the world, are trading Forex and making tons of money. Why not you?

All you need to start trading Forex is a computer and an Internet connection. You can do it from the comfort of your home, in your spare time without leaving your day job.

And you don't need a large sum of money to start, you can trade initially with a minimal sum, or better off, you can start practicing with a demo account without the need to deposit any money.

Forex Trading is very simple and straightforward, we only deal with a pair of currencies, and it has quite a high profit potential.

Forex allows even beginners the opportunity to succeed with financial trading. Actually people that have minimum financial track record can easily make money by learning how to trade currencies online.

This book features the in and outs of currency trading as well as strategies needed to achieve success in the trading.

Here are some of the topics you'll discover while reading the book:

* The single most critical factor to Forex trading success - ignore it at your own perils.

* Simple, easy to copy ideas that will enhance your chances of winning trades.

* What you need to succeed in currency trading.

* Advantages of trading Forex.

* Effective risk management strategies to help you minimize your risk and conserve your capital.

* Key factors to successful financial Forex trading.

* How to develop Forex trading strategies and entry and exit signals that work.

* A list of easy-to-follow tips to help you improve your trading successes.

* All this and much much more.

Table of Contents

1. Making Money in Forex Trading

2. What is Forex Trading

3. How to Control Losses with "Stop Loss"

4. How to Use Forex for Hedging

5. Advantages of Forex Over Other Investment Assets

6. The Basic Forex Trading Strategy

7. Forex Trading Risk Management

8. What You Need to Succeed in Forex

9. Technical Analysis As a Tool for Forex Trading Success

10. Developing a Forex Strategy and Entry and Exit Signals

11. A Few Trading Tips for Dessert
Forex Trading: The Basics Explained in Simple Terms (Bonus System incl. videos) (Forex, Forex for Beginners, Make Money Online, Currency Trading, Foreign ... Trading Strategies, Day Trading Book 1)

Jim's FOREX books are consistently ranked BEST SELLERS on Amazon and there is a very good reason for this. At no extra cost (or on-costs) Jim shares with his readers:

His custom indicators for the MT4 MetaTrader platform, as a download at the end of the book. AND anyone who has received these indicators will also receive the MT5 version of his files when they have been programmed.
An invitation to join his Facebook Group which has new as well as experienced Forex Traders contributing.
Daily interaction in his Facebook Group
He calls his trades live, shares his results AND records a weekly trade analysis video.
His contact details if you require further clarification.
Jim, from Queensland Australia, is a full-time Forex Trader, currently residing in Vietnam. His knowledge of currency trading extends over a 14 year period and has evolved from the old fashioned manual charting when he first started in 2002, to trading on multiple screens and entering the arena of automated trading. During this time, he has developed and shared many trading systems for free, and assisted many new traders through various blogs and forum participation.

This book is for those of you who are just starting to consider trading Forex but don’t know where to start, given the abundance of information on the internet. It is a good first book to read, to gain an understanding of the very basics. As an added Bonus, Jim offers one of his Trading Systems, as well as the indicators without any further on-costs.
Check out his YouTube vids, chat with him on Facebook - he's an approachable guy who is passionate about trading. Here Is an outline of what is included:

What is Forex?
Advantages of Trading Forex
When the Forex market is open
Forex pairs
Where we trade Forex
Choosing a Broker
Important information for US based traders
Lot size and equivalent pip value
Information on risk
News and fundamental analysis
Technical analysis
Risk-reward ratio
Types of orders
How many pips is enough
Trading psychology
Day trading or longer term trading?
Keeping a journal or diary
Forex For Beginners

Forex For Beginners is the prequel to my first two books, A Three Dimensional Approach to Forex Trading, and A Complete Guide to Volume Price Analysis. It is your primer to the world of forex. It has been written to lay the foundations and provide the framework for getting started in the world of forex, in what I believe is the correct way. My other books then build on what you will learn here, to further develop your trading skills and knowledge.

What I try to do in all my books, is to show you how to apply that knowledge to help you become a more confident trader. After all, learning is all well and good, but if we are not taught how to apply that knowledge in a practical way, then it is of little use. It is the application of knowledge that empowers, and this is what I have tried to do here, and in my online training rooms, and all my books.

There are of course many books about forex trading. What is different about this book, is the focus on those aspects of trading which I believe are fundamental. After all, there are only two questions we need to answer when considering a position in the market:-

What is the risk on this trade - high, medium or low?
What is the financial risk on this trade?
The first is the hardest question to answer, and the book will explain in detail the analysis and approach to use, in order to answer this question with confidence. The second question is more straightforward and is answered provided you have an understanding of risk, money management and position sizing in relation to your trading capital. Again, this is covered in detail in the book. As the tag line on the front cover says 'What you need to know to get started, and everything in between' which really sums up what you will learn.
The book explains everything, from the pure mechanics to the trading methodology that I advocate, and which I have used in all my own trading and investing for over 17 years. Forex For Beginners is also dedicated to all those traders who have asked me to write such an introduction, based on my knowledge and my methodology.
50 Pips A Day Forex Strategy

50 Pips A Day Forex Strategy
Start making consistent profits in the forex market.

This is a very clear and simple to follow forex trading strategy to get you started achieving consistent profits day after day trading the forex market. It will make you 50 pips per day or more every day. It is ideal for beginner traders but it will give a great deal of help to more experienced traders that have not found a clear strategy to make profits consistenly.

Components
Support and Resistance
Candlesticks
Moving Average

Time frame - 4 hours chart

It is easy to understand and to put in practice.
It has very well defined entry, stop loss and exit levels.

Apart from the strategy, this book also contains a very useful guide that teaches you how to construct a profitable forex trading system for yourself and how to avoid trading and money management mistakes.

How to Build a Solid Trading System

Are you new to forex trading or just started to trade on a live account but with not much success ?
You need a solid forex trading system based on sound principles of the forex market, that has clear trading and money management rules.

Do you have a forex trading system and you have been trading with it for a period of time but still you don't have the success you hoped for ?
This can only mean that your trading system does not take into account the basic trading rules and principles that any powerful forex trading system incorporates.

This book teaches you how to construct your own powerful forex trading system, what are the most important forex trading tools that you must include in it, what not to include in your forex trading system, how to apply solid money management rules and equaly important, how to avoid making trading mistakes that will cost you when you start to trade with your newly developed forex system.
The Simple Strategy - A Powerful Day Trading Strategy For Trading Futures, Stocks, ETFs and Forex

A profitable trading strategy is the most important tool for a trader.

This book explains a powerful trend-following day trading strategy for trading futures, stocks, ETFs and Forex.

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"The Simple Strategy" Is Easy To Understand And To Trade
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The Simple Strategy is very popular amongst traders for the following reasons:
Clear Entry Rules

When trading "The Simple Strategy", there's no second-guessing. As you will see, the entry rules are based on indicators - and these rules are black and white. Either the MACD is above the zero line or it isn't. And either the RSI is above 70 or it isn't. The entries are easy to identify and execute. That's why this strategy is called "The Simple Strategy"

Clear Exit Rules

When trading "The Simple Strategy" you'll know when to exit even before you enter the trade. So, you know exactly how much to risk on any given trade which is essential for precise position sizing and money management. Plus, you can put the trade on auto-pilot once your entry order is filled. This keeps trade management to a minimum. It's easy and simple.

Taking advantage of small intraday trends

These days trends are short-lived. The times when you could enter the market in the morning and exit the market in the afternoon are over. These days the markets can turn on a dime. Low trading commissions and computerized trading have destroyed the nice and long intraday trends. However, with "The Simple Strategy" you can take advantage of the small intraday trends that we are seeing in today's markets.

You don't need a sophisticated trading software

If you want to trade "The Simple Strategy", you only need a charting software with "basic" charting capabilities: Your charting software needs to be able to plot RANGE BARS, BOLLINGER BANDS, MACD and RSI. More than 90% of the charting software packages that are available today have these capabilities. There's no need to buy any proprietary indicators or expensive charting software!

In short: "The Simple Strategy" can greatly simplify your trading.

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*** WARNING: This Book Is NOT For Everybody! ***
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Do NOT buy this book if...
... You Are Looking For The "Holy Grail"

Because it doesn't exist! When trading "The Simple Strategy", there will be losses! Losses are part of our business as traders. The good news: If you follow the rules of "The Simple Strategy", then you will make more money on your profitable trades than you lose on your losing trades. In fact, the risk/reward ratio of this strategy is 1 : 1.5, so you can expect to make $150 for every $100 you risk.

... You Want To Automate Your Trading Strategies

"The Simple Strategy" will give you clear entry signals, but it's up to YOU to decide if you want to take the signal. As an example, I personally do NOT trade right into a major report. And I only trade the first two hours after the markets open, since most trends occur during this time. Makes sense?

... You Are Absolutely New To Trading

You should have a basic understand of charts and how to use them. And you need to know how to display indicators on your charting software. This book is NOT an introduction into trading. In this book you will learn how to configure your charts, when to enter a trade, where to place your stop loss and when to take profits.
Expert Advisor Programming for MetaTrader 4: Creating automated trading systems in the MQL4 language

Brand new and fully updated for the latest versions of MetaTrader 4, Expert Advisor Programming for MetaTrader 4 is a practical guide to programming expert advisors in the MQL4 language. Leverage the latest features imported from the MQL5 language, including object-oriented programming, enumerations, structures and more. This book will teach you the following concepts:

The basics of the MQL4 language, including variables and data types, operations, conditional and loop operators, functions, classes and objects, event handlers and more.
Place, modify and close market and pending orders.
Add a stop loss and/or take profit price to an individual order, or to multiple orders.
Close orders individually or by order type.
Get a total of all currently opened orders.
Work with OHLC bar data, and locate basic candlestick patterns.
Find the highest high and lowest low of recent bars.
Work with MetaTrader's built-in indicators, as well as custom indicators.
Add a trailing stop or break even stop feature to an expert advisor.
Use money management and lot size verification techniques.
Add a flexible trading timer to an expert advisor.
Construct several types of trading systems, including trend, counter-trend and breakout systems.
Add alerts, emails, sounds and other notifications.
Add and manipulate chart objects.
Read and write to CSV files.
Construct basic indicators, scripts and libraries.
Learn how to effectively debug your programs, and use the Strategy Tester to test your strategies.
All of the source code in this book is available for download, including an expert advisor framework that allows you to build robust and fully-featured expert advisors with minimal effort.

Whether you're a new trader with limited programming experience, or an experienced programmer who has worked in other languages, Expert Advisor Programming for MetaTrader 4 is the easiest way to get up and running in MQL4.
Forex: A Powerful MT4 Trading Robot to Maximize Profits (Expert Advisor EA, algorithmic trading, black-box trading, trading system, automated trading)

Forex: A Powerful MT4 Trading Robot to Maximize Profits
This book will cover an introduction to trading robots as well as provide you with a robust trading Robot (EA) to download for use on the MT4 trading platform, at NO FURTHER COST.

Available in both eBook via Kindle or Kindle App and Paperback, anyone who purchases the Paperback version will have access via Amazon to download the eBook for free.

In this book, Michelle provides you with:

An explanation of what a Trading Robot does;
The advantages of using a Trading Robot;
A due diligence check list to consider, before you spend some big bucks on other Trading Robots;
A Trading Robot to download instantly. The SMSF Trading Robot is simple to use and provides flexibility with regards to the settings;
Set up instructions for the SMSF Trading Robot, to use as a guide, allowing you to develop a system with parameters to suit YOUR personal trading style.
Although this is a short read, in the end, it delivers exactly what it promises: An introduction to Trading Robots as well as a downloadable MT4 Trading Robot to Maximize Profits. A small price if you consider how much it would cost to hire a programmer to build your own Trading Robot.

This book does NOT include:

Promises of untold wealth. YOU have to work for this within YOUR personal comfort zone, psychological barriers and money management skills;
The basics of Forex trading – if you need the basics on Forex trading, please consider my book: Forex - A Beginner's Guide to Currency Trading. Another book I recommend for beginners is, Forex Trading: The Basics Explained in Simple Terms, by another full-time trader, Jim Brown. Jim’s book continues to hit the Amazon’s #1 Best Seller list in Online Trading and Foreign Exchange categories. Jim is a personal friend and knows his stuff;
Up-sells, side-sells, spamming – This is not my scene! I am not a marketer. I am a trader and simply sharing information about Robots in Forex trading with a free Robot available to download.
Trading Forex with Divergence on MT4

Jim's FOREX books are consistently ranked BEST SELLERS on Amazon and there is a very good reason for this. At no extra cost (or on-costs) Jim shares with his readers:

His custom indicators for the MT4 MetaTrader platform, as a download at the end of the book. AND anyone who has received these indicators will also receive the MT5 version of his files when they have been programmed.
An invitation to join his Facebook Group which has new as well as experienced Forex Traders contributing.
Daily interaction in his Facebook Group
He calls his trades live, shares his results AND records a weekly trade analysis video.
His contact details if you require further clarification.
While Divergence may sound a little technical and intimidating, Jim assures you that it is easy to understand when you know what you are looking for. Some even consider Divergence to be a leading indicator. Basically, it is the difference between what the actual price on the chart is doing and what an Oscillator type indicator is doing. This book will use the same principles as his MT4 High Probability Forex Trading Method, but it is a stand-alone book and concentrates more on trading with Divergence. Jim has no affiliation with any links included in the book and there are no up-sells or ongoing costs for this method, his custom indicators, template etc. Also worthy of mention is that this Method can be used with any other financial instrument that your MT4 platform offers.

Here is an outline of what is included:

1. A downloadable package which includes Jim's personal custom indicators:
QQE ADV.ex4
QMP Filter 1.01.ex4
P4L PeriodCon 509.ex4
MACD_Platinum.ex4
MACD Platinum Book.tpl
Forex Multiple Trade Calculator.xlsx

2. 50+ images to explain Forex Trading using divergence (access to download/print)

3. A video with instructions on how to load the template and indicators to your MT4 platform.

4. The Table of Contents outline includes:
What Is Divergence?
Setting Up The Charts
The Basic Concept Of This Trading Method
Trading With Divergence
Some Observations About Divergence
Various Examples Of Divergence
Entering A Trade After Divergence Has Been Identified
Trade Examples On The GBP/JPY 4hr Chart
‘Tight' Divergence
The Smart Way To Trade This
Stop Loss Placement
Trade Re-Entry Technique
Trend Losing Steam And Time To Take Action
Divergence Formed On The Wrong Side Of The MACD Platinum Zero Level
Trade Management
High Risk Money Management Technique
Forex Trading: Ultimate Advanced Guide: 2 Manuscripts The Best Techniques + The Advanced Guide That Will Make You the KING of Forex Trading (Volume 7)

Two Hard-Hitting Books Conveniently Packed in One Powerful Bundle!
This Ultimate Advanced Guide on Forex Trading for profit contains 2 manuscripts conveniently rolled up in 1:
Forex Trading: The Best Techniques to Multiply your CashflowForex Trading: The Advanced Guide that Will Make You the KING of Forex Trading


Do you want to be in a position where you’re trading stocks on one of the most fast-paced markets in the entire world? Not only that, but do you want to be trading these stocks in a way that guarantees that you’ll find success through these avenues over a long-term period of time? If you’ve answered yes to either of these questions, then it’s definitely time for you to purchase this book on Forex Trading!

This book is filled to the brim with information that will take your forex trading strategies to the next level. Not only does this book discuss advanced forex market trading strategies, but it does so in a way that can guarantee that it will not bore you to tears. I know that there are plenty of books on the market that cover the topic of forex trading, but how many of them can make that promise to you?



Forex Trading: The Best Techniques to Multiply your CashflowHere is Exactly What You Will Discover.....


Starting with even a couple hundred dollars, you can use the techniques inside to make thousands in your very first trades. This isn’t an academic text describing the history and importance of the forex markets.

If you’re here, we assume you already know that. Instead, this book is a detailed guide to understanding strategy and tactics that will enable you to make money on the forex market even while competing with banks, exporters, and corporations. Forex markets are some of the largest, most liquid markets in the world, and with our help, you will be taking advantage of them in short order.



Forex Trading: The Advanced Guide that Will Make You the KING of Forex TradingHere is Exactly What You Will Discover.....


• Advanced forex trading strategies

• Provide you with information on how to use technical indicators and advanced analytical tools

• Discuss the advantages and the risks that are associated with forex trading

• Show you how to decipher forex economic theories and forex advanced forex models

• Give you useful information on the history of the forex market and how the veteran market participants interact with the market today
Technical Analysis Plain and Simple: Charting the Markets in Your Language (3rd Edition)

“This book is an excellent primer. As a proponent of the art-versus-science school of technical analysis, his primary focus is on the practical aspects of chart reading and how to translate the intelligence derived from charts into investment decisions. If you have ever wondered what technical analysis is, or how you could get started doing it, this is a good place to start.”
J ohn B ollinger, CFA, CMT, President, Bollinger Capital Management

“Here is the place to discover why the RSI goes up while the price is going down, how to measure potential moves from a breakout, how not to look at a chart with preconceived notions of what the market will do--‘Let the market talk....’ The advice is above all practical. [This is] a book to own, particularly in the earlier stages of your investment career.”
M ichael S myrk, STA Journal

“Finally, an easy-to-understand explanation of how technical analysis works! This primer shows investors how to spot trends and patterns in the markets that can help them choose winning stocks. Full of practical advice, this is a must have for both individual and professional investors.”
S usie G harib, Coanchor, PBS Nightly Business Report

T he B est -S elling I ntroduction to T echnical A nalysis : U pdated with N ew E xamples , T echniques , and G uidance !
Fully updated with new coverage of bubbles, sector rotation, and rare “black swan” market events
Technical analysis offers powerful, objective tools for picking stocks and making money--and in today’s market environment, that makes it more indispensable than ever. Unfortunately, most technical analysis books confuse investors instead of enlightening them. In this clear, practical, fully updated book, Barron’s Online technical analysis columnist Michael N. Kahn introduces proven technical analysis techniques in simple language that any investor can understand and use.

Kahn explains how technical analysis works and then teaches you how to read charts and translate them into investment decisions. You’ll learn how to use technical analysis to complement your current approach to stock selection, discover what makes a stock look promising, and objectively assess both risk and reward.

This completely revised third edition contains many new examples reflecting today’s transformed market environment. You’ll find detailed new coverage of recognizing bubbles, including real estate (2006), oil (2008), and bonds (2009). Kahn presents powerful new insights into the relationship between technical analysis and market psychology and crucial, up-to-date guidance on sector rotation in rapidly changing markets. He also presents a full chapter on navigating through chaotic, once-in-a-millennium, “black-swan” market events.

Why technical analysis works
Bringing real objectivity to investment decision-making
Chart patterns: See the forest and the trees
Recognizing markets that are changing, need a rest, or are about to take off
Understand the central importance of price...
And what you must know about volume, time, and investor sentiment
Down the road: a taste of advanced technical analysis
Candlesticks, cycles, Elliott waves, and how to debunk those guys on TV
Technical Analysis for Beginners: Stop Blindly Following Stock Picks of Wall Street's Gurus and Learn Technical Analysis

It’s strange to observe that in an age where information is so abundant and easy to access, a very small number of investors understand the functioning of the stock charts. Many more believe that the up-and-down level of a share is strongly connected to a company’s profitability. Either because of doubt or a lack of understanding, most traders and investors trust their friends, colleagues or pseudo-specialist gurus to help them make good trading and investment choices. This book has been written to help the new traders who trust blindly in those close to them, their colleagues or financial gurus, and want to understand chart patterns before investing in stocks.
Take control of your investments
Technical Analysis for Beginners, or Stop Blindly Following Stock Picks of Wall Street’s Gurus and Learn Technical Analysis is easy to understand, and it addresses the people who want to use tools that allow detection of buy-and-sell signals. This book includes more than 100 examples, figures and tables that will help your understand investments visually. Several stock market charts show entry points, exit points and even false signals.
Dummies need to understand technical analysis
The best way to foresee the future is to analyze the past. This book is a guide to avoiding many traps in the financial markets. I will show you how to use the stock market charts and how to enrich them with indicators, which will allow you to enter and exit the market at the right time.
Know how to spot the market’s trend
Learn how to detect the stages of a share to make a better anticipation of the sale periods. Numerous examples show you how to highlight the trend, the support, the resistance and the trend channel, as well as the positive and negative divergences and the candlestick patterns.
Identify breakout and breakdown
The term "breakout" is used by traders in action. It’s associated with multiple upward figures and marks the debut of a new rising trend. Learn to detect and use breakout to make good selections of stocks.
Identify bullish and bearish patterns
Certain configurations allow anticipating a configuration or a trend reversal. We have included numerous graphs and figures that facilitate learning. The examples are improved with comments and symbols that facilitate comprehension.
Know how to use the different types of indicators
There are a great number of technical indicators. New ones are created each year. However, you should limit their use and make a choice among the four families of indicators that follow:
Trend indicators
Momentum indicators
Volatility indicators
Volume indicators
Avoid traps, errors and false signals
Technical analysis cannot guarantee 100 percent success. The traps can be detected on a graph, but they can also come from the ones that make purchase recommendations to you, such as people that provide pump and dump scenarios or stock promoters from the web. Graphic analysis of the shares is essential before any investment.
Understand the market’s emotional cycle
It’s difficult to leave your emotions aside when your portfolio has lost 10 percent in just one day. Don’t put yourself in vulnerable situations. Keep your emotions balanced by investing at the appropriate moment.
Configure your charts
You only need a couple of minutes to do the technical analysis of a stock. You can rapidly make judgments on the quality of the targeted shares or ETF. Invest in your knowledge, invariably be skeptical about the recommendations of specialists, and analyze their choices before investing!
The Art and Science of Technical Analysis: Market Structure, Price Action and Trading Strategies

A breakthrough trading book that provides powerful insights on profitable technical patterns and strategies
The Art and Science of Technical Analysis is a groundbreaking work that bridges the gaps between the academic view of markets, technical analysis, and profitable trading. The book explores why randomness prevails in markets most, but not all, of the time and how technical analysis can be used to capture statistically validated patterns in certain types of market conditions. The belief of the book is that buying and selling pressure causes patterns in prices, but that these technical patterns are only effective in the presence of true buying/selling imbalance.

The Art and Science of Technical Analysis is supported by extensive statistical analysis of the markets, which will debunk some tools and patterns such as Fibonacci analysis, and endorse other tools and trade setups. In addition, this reliable resource discusses trader psychology and trader learning curves based on the author's extensive experience as a trader and trainer of traders.

Offers serious traders a way to think about market problems, understand their own performance, and help find a more productive path forward
Includes extensive research to validate specific money-making patterns and strategies
Written by an experienced market practitioner who has trained and worked with many top traders
Filled with in-depth insights and practical advice, The Art and Science of Technical Analysis will give you a realistic sense of how markets behave, when and how technical analysis works, and what it really takes to trade successfully.
Technical Analysis: The Complete Resource for Financial Market Technicians (3rd Edition)

Master technical analysis, step-by-step! Already the field's most comprehensive, reliable, and objective introduction, this guidebook has been thoroughly updated to reflect the field's latest advances.

Selected by the Market Technicians Association as the official companion to its prestigious Chartered Market Technician (CMT) program, Technical Analysis, Third Edition systematically explains the theory of technical analysis, presenting academic evidence both for and against it. Using hundreds of fully updated illustrations and examples, the authors explain the analysis of both markets and individual issues, and present complete investment systems and portfolio management plans. They present authoritative, up-to-date coverage of tested sentiment, momentum indicators, seasonal effects, flow of funds, testing systems, risk mitigation strategies, and many other topics.

Offering 30% new coverage, Technical Analysis, Third Edition thoroughly addresses recent advances in pattern recognition, market analysis, systems management, and confidence testing; Kagi, Renko, Kase, Ichimoku, Clouds, and DeMark indicators; innovations in exit stops, portfolio selection, and testing; implications of behavioral bias, and the recent performance of old formulas and methods. For traders, researchers, and serious investors alike, this is the definitive guide to profiting from technical analysis.
Charting and Technical Analysis

To invest successfully or trade in Stocks, Options, Forex, or even Mutual Funds, it is imperative to know AND understand price and market movements that can only be learned from Technical Analysis. You should NEVER attempt Trading or Investing without it! My 25 years experience has taught me that 'every book on the market' regarding Charting and Technical Analysis is seemingly worthless. All seem to find yet another creative way to tell you to “Buy Low and Sell High.” And they offer NO in-depth understanding or analysis about WHO is buying and WHO is selling, and when. Point is, anyone, experienced or not, can show you a picture of a Chart and tell you to buy at the bottom and sell at the top. That is simple 'hindsight,' and is always 20/20. This book is different! It is IN-DEPTH – EXPLAINED and you WILL learn price movements and technical analysis from this information! You will understand and recognize tops and bottoms in the market and in particular stocks, AS they are forming. This is highly valuable information, and you should NEVER attempt to trade or invest without this knowledge. Mutual Funds? Most people think they do not need this information because the have a Mutual Fund. That could not be farther from the truth. Investing your hard-earned money should be done with your own knowledge of market direction, when to buy, and when to move your money to safety. Without this knowledge you are at the mercy of a salesperson hungry to earn a commission. Thus, invariably entering the market at the wrong time and in the wrong investment. No one else has your best interest in mind. So learn to protect your money or keep it in the bank. It's that simple. The next move is yours.
Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications (New York Institute of Finance)

John J. Murphy has updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets.
This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.
Trading Forex: How To Invest Small and Earn Big with Currency Trading in 30 Days or Less

Trading Forex: How to Invest Small and Earn Big with Currency Trading in 30 Days or Less is the best beginner’s guide for getting into Forex. Using this guide, you can take a small investment and quickly turn it into a large amount of capital. You can use this guide to take you through the specific processes you need to follow in order to master the Forex market and earn major profits right away.

In this book you will:
Learn what the Forex market is
Identify the major, minor and exotic currency pairs
Discover the importance of trading plans
Create your own unique trading plan
Identify trade opportunities based on your unique positioning
Minimize your risks and maximize your profits
Develop healthy trading habits
This book is truly the best trading guide for anyone who is seeking to get into Forex trading. You do not have to have any previous knowledge in order to master Forex, so long as you have this guidebook to take you through the steps. Using it, you will be able to effortlessly master the market and earn massive profits within’ a month or less.
How to Day Trade for a Living: A Beginner's Guide to Trading Tools and Tactics, Money Management, Discipline and Trading Psychology

Very few careers can offer you the freedom, flexibility and income that day trading does. As a day trader, you can live and work anywhere in the world. You can decide when to work and when not to work. You only answer to yourself. That is the life of the successful day trader. Many people aspire to it, but very few succeed.

In the book, I describe the fundamentals of day trading, explain how day trading is different from other styles of trading and investment, and elaborate on important trading strategies that many traders use every day. I've kept the book short so you can actually finish reading it and not get bored by the middle.

For beginner traders, this book gives you an understanding of where to start, how to start, what to expect from day trading, and how to develop your strategy. Simply reading this book, however, will not make you a profitable trader. Profit in trading does not come with reading a book or two or browsing online. It comes with practice, the right tools and software and appropriate ongoing education.

Intermediate traders may benefit from the book's extensive overview of some of the classic strategies that the majority of retail traders regularly use with proven success. If you think you are beyond the stage of a novice trader, then you may want to jump ahead and start reading from Chapter 7 for an overview of the most important day trading strategies:

ABCD Pattern Trading
Bull Flag Momentum Trading
Top Reversal Trading
Bottom Reversal Trading
Moving Average Trend Trading
VWAP Trading
Support and Resistance Trading
For each strategy, I explain:

How to find the Stock in Play for trade
What indicators I am using on my charts
When I enter the trade
When I exit the trade (profit taking)
What is my stop loss
I also encourage you to my community of day traders at Vancouver-Traders.com. You can monitor my screen in real time, watch me trade the strategies explained in his book, and ask questions of me and other traders in our private chat room.

I invite you to join me in the world of day trading. I'm a real person who you can connect with. I love what I do. You can follow my blog post under Author Updates on my Author page on Amazon. You'll see I lose some days. You can read the reviews of my book. I know you will learn much about day trading and the stock market from studying my book. You can join at no cost and with no obligation my community of day traders at Vancouver-Traders.com. You can ask us questions. Practical, hands-on knowledge. That's How to Day Trade for a Living.
Online Forex Trading: Exclusive Interviews with Five Forex Experts

A few years ago I began hearing about people making a bundle in online Forex trading. When I started to research Forex, I found tons of experts selling ebooks, teaching courses, providing tips via subscriptions.

Is the talk all hype, designed to sell books and trading software to naïve investors? What kind of time, brains, or luck are necessary to profit from Forex trading?

I thought it was best to not just get one expert's opinion, but several. If one person says something, I might believe them. But if three out of four people voice similar opinions, that means a lot more.

So I conducted email interviews with five Forex experts. This Kindle book contains those exclusive interviews. Read them and discover:

Are your expectations about Forex trading realistic

Best ways to determine if a Forex expert is trustworthy

How soon is realistic to expect to be profitable in Forex trading

How each expert got to started in Forex

Whether you could make a living trading Forex online

Kathy Lien, of DailyFX.com, co-author of Millionaire Traders: How Everyday People are Beating Wall Street at Its Own Game, and author of Day Trading the Currency Market

Jeffrey Wilde, author of Forex Profits, Step-by-Step Strategies to Unlock The Hidden Profits in Forex

Adam Burgoyne, creator of The 5 EMAs Forex System

Dirk du Toit author of Bird Watching in Lion Country, Forex Trading Explained

Ed Ponsi, author of The Ed Ponsi Forex Playbook: Strategies and Trade Set-Ups, Forex Patterns & Probabilities: Trading Strategies for Trending & Range-Bound Markets and president of FXEducator.com

Note: This is NOT an investment advice book to help you immediately learn to place forex trades online, instead it will allow you to avoid scams and plan an investment strategy that meets your needs and goals.
10 Rules of Successful Trading: The ultimate guide to winning in the markets.

Want to make more money by investing and trading? Are you struggling to make consistent profits?
Use the "10 Rules of Successful Trading" to get back on track and achieve your trading goals.
Get this awesome e-book now for only $0.99
These are the 10 most important rules to follow in order to become a consistently profitable trader or investor.
Feel free to use them if you are confused about what’s going wrong with your trading.
If you are lost, losing, or have failed at trading this is a must read.
Practical Solutions in the Forex Market: A Crash Course on How to Push the Button (A Student's Guide: Investment Strategies in the Foreign Exchange Market)

This book serves as a basic introduction to the Foreign Exchange Market. Upon completion of this book, students will be able to comprehend concepts such as indicators, patterns, and other tools that are commonly used while trading currencies. Students can take this knowledge and directly apply it to the "Forex Market". This practical skill set brings you on a journey from opening a practice account to running Forex like a business and everything in-between. The simplicity of the book along with its visuals should provide a great understanding of the largest market in the world that is rarely even mentioned in the world of finance.
Forex For Ambitious Beginners: A Guide to Successful Currency Trading

There are many books that promise to teach you highly profitable trading systems, to show you how easy making money trading the forex really is. This is not one of those books. Forex for Ambitious Beginners will not turn you into a profitable trader, only you can do that, through practice, study and persistence. But this book will help you avoid many, many mistakes beginning traders make. You will learn essential elements of successful forex trading, such as how to protect your trading capital, how to find a forex trading strategy that matches with your trader personality and how to build your own trading system and tweak it for optimum performance. The book will also touch on important basics about the FX market that traders need to know about. Who the players on the forex are for instance, and which factors influence the most important currencies. Other topics include specific forex trading strategies, popular technical indicators, how to read candlestick charts and how to recognize chart patterns. Forex for Ambitious Beginners is about minimizing risk and maximizing potential, about looking for ways to continuously bend the odds in your favor. It will provide you with a solid foundation on which you can start building your forex trading career. The book concludes with a challenging quiz, offering detailed explanations of the correct answers. In short, if you're ambitious and want to really learn how to trade the forex -- as opposed to being spoon-fed a fantasy about some super strategy -- then Forex for Ambitious Beginners is for you. About the author Jelle Peters is the founder of the popular forex website www.forexinfo.nl. He writes daily currency analysis, has published numerous articles on forex strategies and is a sought after speaker for forex webinars and seminars.
Forex: Strategies on How to Excel at FOREX Trading: Trade Like A King (Strategies on How to Excel at Trading) (Volume 2)

A Step By Step Strategies Guide On How To Excel At FOREX Trading Has Finally Arrived! Strategies on How to Excel at FOREX Trading When it comes to generating the maximum amount of return for the minimal amount of investment, the forex market is always going to be the best choice. The amount of leverage it is possible to achieve in the forex market simply can’t be beaten elsewhere. That doesn’t mean it is a sure thing, however, which is why it is extremely important to be aware of the best forex trading strategies as well as how to utilize them to increase your chances of trading success as much as possible. If you are familiar with the basics of forex trading and are looking for a way to take your profits to the next level, then FOREX: Strategies on How to Excel at FOREX Trading is the book you have been waiting for. Inside you will find advanced strategies for trading based on price action, technical indicators of all types, breakouts and more. You will also learn how to utilize the tools you are likely already familiar with in new and increasingly effective ways. No matter the approach the approach you take to forex trading, you will find something here to increases your successful trade percentage here. This book will provide you will all the tools you need to stop second-guessing yourself when it comes to determining if a potential trade is going to take you to where you need to be. It doesn’t matter what your preferred level of risk is, where your current skill level is at or what length of time you prefer to trade, FOREX: Strategies on How to Excel at FOREX Trading has you covered. Inside you will find How to use the 20 EMA indicator in new ways to form a price action strategy that is particularly adept at foreseeing breakouts in the Asian session. The best way to take advantage of Bollinger bands when they are at their most elastic The importance of the stochastic indicator and how to use a pair of them to reliably find breakouts you might otherwise miss. Mistakes that many people make when it comes to utilizing Fibonacci numbers to determine entry points and how to avoid them. Two breakout trading strategies that can be utilized as soon as a currency price leaves a range locked state. Everything you ever wanted to know about fractals in the forex charts including how to find them and how to put them to work for you. And more… This is the only strategies guide on FOREX trading you will ever need!
Forex Trading : A Complete Beginner's Guide

Forex - A Complete Beginner's Guide!
The forex trаdіng facilitates investment аѕ well аѕ trаdіng. Thіѕ іѕ a unіquе market when соmраrеd to thе ѕhаrе markets bесаuѕе thе trаdіng hоurѕ hеrе аrе vеrу lоng or реrhарѕ оnе саn trаdе 24 hours a day bаrrіng the wееkеndѕ. Sо one nееd not wоrrу аbоut the opening bell and thе сlоѕіng bеll оf the mаrkеt like іt hарреnѕ

іn vаrіоuѕ ѕtосk markets. Thеrе аrе рlеntу оf оnlіnе FX trаdіng sites which gіvе rоund-thе-сlосk ассеѕѕ tо monitor thе hарреnіngѕ іn thіѕ mаrkеt.

Stop being passive about your finances, letting your lazy financial advisor earn commissions for doing nothing, instead, take the bull by the horns and take a hands-on approach with simple, active trading techniques contained in this e Book.

Here Is A Preview Of What Inside The Book:

Forex is сurrеntlу thе world's lаrgеѕt mаrkеt platform, wіth аррrоxіmаtеlу 3.4 trіllіоn U.S dоllаrѕ іn daily сіrсulаtіоn, 24 hоurѕ a day, 5 dауѕ a wееk. It is now considered a "step" аbоvе the еԛuіtіеѕ mаrkеt.
Fоrеx іѕ accessible tо those оn a modest іnсоmе аѕ уоu wоn't need a lоt оf mоnеу tо gеt ѕtаrtеd, рluѕ ѕоmе fіrmѕ оffеr incentives tо hоmе trаdеrѕ ѕuсh as bоnuѕ capital uрfrоnt tо get thе bаll rolling.
Fоrеx trаdіng іѕ mоrе of аn аrt form than a ѕсіеnсе and thеrе are nо ѕсhооlѕ оr unіvеrѕіtіеѕ thаt can gіvе уоu a qualification thаt means уоu can thеn gо оn tо become a ѕuссеѕѕful fоrеx trаdеr.
Rеmеmbеr the warning thаt ѕауѕ you muѕt not uѕе thе mоnеу you саnnоt afford to lose tо trаdе fоrеx. Take thаt mеѕѕаgе serious and hаvе іt аt the bасk of уоur mіnd whіlе уоu рlаn tо trade fоrеx.
The Fоrеx market іѕ knоwn as thе mаrkеt thаt never ѕlеерѕ.
The Black Book of Forex Trading: A Proven Method to Become a Profitable Trader in Four Months and Reach Your Financial Freedom by Doing it

Have you lost money trading the Forex Markets? Or are you consistently winning and making a regular income with your trading?

Are you watching the markets without enough confidence to enter trades?

Are you spending money in third-party systems that don’t seem to yield you any results?

Are you wasting your money trading without enough knowledge?
Do you want to understand the systems and tactics advanced and professional Forex traders use to build their accounts?

If you aren’t achieving the results you want form Forex Trading this book will help you get there faster and easier.

If you only knew that by tweaking and fixing certain aspects of your trading you could literally start making money right away.

The knowledge and information contained in The Black Book Of Forex Trading was learned by me after several years of losing, trying and testing. Spending thousands in systems, courses and coaches to get to where I am now.

You could easily learn the core of what I know by reading this book. And literally change your trading forever since the concepts are simple and easy to follow.

What actionable and realistic Forex tactics will you learn?

- How to stop struggling with the markets
- How to STOP losing money!
- Gain enough confidence to trade, knowing that you have the right knowledge and the numbers are in your favor
- Adapt any of my THREE proven, powerful yet simple forex trading strategies to your own needs (day trade, swing trade or position trade)
- Start earning money CONSISTENTLY
- Become a profitable trader in four months or less
- Fund your financial freedom and the lifestyle you want with your trading

All of this while you develop a real Forex System to win constantly

Trading doesn't have to be complicated to make you money

Aimed for beginner to intermediate traders who can’t yet become successful in their trading, this book will guide you and help you answer many questions normally other books, courses and gurus won’t cover.

Written by a real trader who lost most of his life savings due to bad trading, only to make them back many times over after learning a Proven, Powerful yet Simple method that is COMPLETELY laid out for you in this book, no secrets kept.

This book covers the three main areas of trading:
1- Strategies - how to adapt a winning strategy to your personal lifestyle and needs (no black box or spaghetti charts full of indicators and lines, just simple and pure price action, easy to read and follow)

2. Money Management - How to optimize and maximize your winnings without risking too much

3. Get control of your emotions and become a better trader - Why most traders let their emotions rule their trading and a few simple steps to control how your mind play tricks to you while you trade.

At the end of the book you will find a very simple to follow yet very powerful blueprint to plan your next months, get control of your financial future and achieve your trading success.
Forex Price Action Scalping: an in-depth look into the field of professional scalping

Forex Price Action Scalping provides a unique look into the field of professional scalping. Packed with countless charts, this extensive guide on intraday tactics takes the reader straight into the heart of short-term speculation. The book is written to accommodate all aspiring traders who aim to go professional and who want to prepare themselves as thoroughly as possible for the task ahead. Few books have been published, if any, that take the matter of scalping to such a fine and detailed level as does Forex Price Action Scalping. Hundreds of setups, entries and exits (all to the pip) and price action principles are discussed in full detail, along with the notorious issues on the psychological side of the job, as well as the highly important but often overlooked aspects of clever accounting. The book, counting 358 pages, opens up a wealth of information and shares insights and techniques that are simply invaluable to any scalper who is serious about his trading.
Naked Forex: High-Probability Techniques for Trading Without Indicators

A streamlined and highly effective approach to trading without indicators
Most forex traders rely on technical analysis books written for stock, futures, and option traders. However, long before computers and calculators, traders were trading naked. Naked trading is the simplest (and oldest) trading method. It's simply trading without technical indicators, and that is exactly what this book is about.

Traders who use standard technical indicators focus on the indicators. Traders using naked trading techniques focus on the price chart. Naked trading is a simple and superior way to trade and is suited to those traders looking to quickly achieve expertise with a trading method.

Offers a simpler way for traders to make effective decisions using the price chart
Based on coauthor Walter Peters method of trading and managing money almost exclusively without indicators
Coauthor Alexander Nekritin is the CEO and President of TradersChoiceFX, one of the largest Forex introducing brokers in the world
How To Be A Forex Trading King: FOREX Trade Like A King (How To Be A Trading King) (Volume 2)

Uncovering The Secrets Of How To FOREX Trade Like A King This bunde is made up of Andrew Johson's masterpieces on FOREX Trading, which includes: Forex: A Beginner’s Guide to Forex: Uncover the Secrets of Forex AND Forex: The Ultimate Guide to Forex: Uncovering Forex Profit Making Secrets While it can be relatively easy to begin trading in the forex market, it is ultimately much more difficult to find true success within its confines in the long term as a few bad trades can easily be enough to wipe out even the most promising trader no matter what their intentions might ultimately be. If you are interested in learning the specifics of how to stick around in the forex market for the long term then How To Be A Forex Trading King is the book that you have been waiting for. This book combines two of Andrew Johnson's FOREX masterpieces. Inside you will find: Forex- What is it and What is its History? Being Successful with Forex Managing Your Money as You Use Forex Candle Stick Strategy Price Action Strategy Pivot Point Strategy The Turtle Strategy Scalping Moving Averages Strategy Tips and Tricks for Trading on the Forex The types of trading strategies that the professionals are likely to use every single day along with tips and tricks to ensure that you make the most of them every single day. The best volume indicators to use regardless of what type of trading you prefer and how risk-adverse (or not) that you may be. Three easy tips that anyone can use in order to improve their successful trade percentage virtually overnight. One of the most effect ways to take advantage of the forex market’s high level of volatility without losing your shirt. The most common mistakes that forex traders of all skill levels continue to make and how to avoid them. And more… If you are serious about learning and mastering FOREX trading then grab your copy today!
Forex Trading: The Advanced Guide That Will Make You The KING Of Forex Trading (Volume 5)

FOREX TRADING: The Advanced Guide that Will Make You the KING of Forex Trading


Do you want to be in a position where you’re trading stocks on one of the most fast-paced markets in the entire world? Not only that, but do you want to be trading these stocks in a way that guarantees that you’ll find success through these avenues over a long-term period of time? If you’ve answered yes to either of these questions, then it’s definitely time for you to purchase the book Forex Trading: The Advanced Guide that Will Make You the KING of Forex Trading right now!



This book is filled to the brim with information that will take your forex trading strategies to the next level. Not only does this book discuss advanced forex market trading strategies, but it does so in a way that can guarantee that it will not bore you to tears. I know that there are plenty of books on the market that cover the topic of forex trading, but how many of them can make that promise to you?



Maybe you’ve decided that you enjoy trading on the stock market, but you are tired of the conventionality that you’ve found and you’re ready for more excitement. Or maybe you are just interested in knowing how everything works, and you haven’t yet put yourself out there to trade in any way shape or form. Either way, this book can be for you; however, there is one important note to make here. This is not a beginner’s guide. Rather, it’s an advanced guide that has been written in conjunction with my first book on the topic. The first book is titled, Forex Trading: A Crash Course to Get Quickly Started and Make Immediate Cash with FOREX Trading. If you have not yet read that first book, then it’s strongly advised that you do so before venturing into the virtual pages of this one. This way, you will have all of the information that you need to make this book as useful to you as humanly possible.

Imagine a life where the work that you do is complimented and supported by the exciting world of forex trading. You are able to keep your day job, yet still supplement your income in a way that is always keeping you on the edge of your seat. Of course, this type of lifestyle would not be nearly as exciting if you were constantly losing money, which is why you need this book in your life. This book has the ability to take your forex trading goals to the next level. All you have to do is give in to its lure and purchase it. It really is that simple.

The pages in this book guarantee to teach you the following:

Advanced forex trading strategies
Provide you with information on how to use technical indicators and advanced analytical tools
Discuss the advantages and the risks that are associated with forex trading
Show you how to decipher forex economic theories and forex advanced forex models
Give you useful information on the history of the forex market and how the veteran market participants interact with the market today
You’ll learn about the information that’s provided above as well as so much more! What are you waiting for? This is the best book on the market regarding the topic of options trading, hands down! Don’t delay. Purchase the book Forex Trading: The Advanced Guide That Will Make You the KING of Forex Trading immediately!
Forex The Holy Grail

The quest for the Holy Grail in Forex is a metaphorical journey in financial analysis applied to the currencies’ market. Much like the Templar knights sought the Holy Grail over the centuries, the author guides the trader along dark path, in a quest for the golden rules that underpin profit in the currency trading. Some of the main tools in classic financial analysis are here analyzed in depth, clarifying which of them actually work in the current markets, and reaching the conclusion that common technical indicators alone are not enough to take a trader to the Holy Grail of financial success. To help the reader develop a firm grasp on currency trading analyses and be consistently profitable over time, the author will explore how to understand the moves of the big players and how to follow them. The author suggests 15 golden rules that can be used as a guide in the arduous search for the Holy Grail in forex. A new approach to the financial analysis. A quest for truths hidden to most; a different approach to the classic technical analysis. Reading and mastering the contents of this book, a knowledgeable trader will learn not to rely on now obsolete technical analysis indicators or to lean on the advice of the most diverse experts, but to adopt a holistic approach, and become able to assess what really moves the markets, how the balance of powers between the currencies works and fluctuates at any given moment. Ad Maiora.
Forex Trading Secrets: Trading Strategies for the Forex Market (Professional Finance & Investment)

Just a decade ago, the Foreign Exchange was a market reserved for a select few. Now, anyone can actively trade in this profitable market―even those with no formal financial education. Enter James Dicks, a leading FOREX expert and educator who cut his teeth in this burgeoning market and wants to share his years of experienced wisdom with you.

FOREX Trading Secrets is a one-stop sourcebook packed with everything a trader needs to quick-start success in a 24-hour market. In addition to covering every fundamental aspect of the FOREX, this hands-on guide provides hard-won tools and strategies from a seasoned trader, who helps you minimize your exposure to the inherent risk in this unique market.

A useful volume you’ll turn to again and again, FOREX Trading Secrets features specific examples of proven trading strategies working in the real world, a simple and profitable technique for money management, and confidence-building skills for creating your own source of income.

If you have never traded the FOREX before, FOREX Trading Secrets is the place to start. It covers the essential basics, including all major currency pairs, the mechanics of trading, how to place a trade, and deciding what type of trader you are. Experienced traders gain expert insight into the fundamentals, as well as such advanced topics as creating a successful trading plan,managing risk, mastering your emotions, and building your portfolio. You will benefit from

An insider’s clarification of the Carry Trade
Seeing technical indicators and patterns through a master’s eyes
The secrets to FOREX diversification
A detailed explanation of the author’s personal trading approach
A Trader’s Ten Commandments
There is no holy grail of FOREX trading, but with FOREX Trading Secrets, all you need is practice to build a powerful trading toolbox for wealth security in the world’s biggest financial market.
Forex Trading: Proven Strategies for Maximum Profit

Forex Trading: Proven Strategies for Maximum Profit is a guide to help you understand the foreign exchange market and to show you how traders make profits. You are not going to find personal stories of success in these pages. Instead, you will find detailed information on the forex market and how to use it to your advantage. One thing many books about strategies promise you is to give you step by step instructions of “proven” strategies that work for the writer. They promise to turn you into a millionaire overnight. This book will not make such a promise. The promise you are given is to learn information that you can adapt to a trading plan based on the fundamental and technical analysis you should use. From this information, you will know when:
To enter the market
Where to set your stop loss orders
When to exit for profit
You will understand:
How to assess currency pairs
How to see trends based on economic and financial data
How to use graph trends to your advantage
At the end of this book, you will know more about forex trading, easy patterns, and become a successful trader. You will need to practice and decide when you are ready to invest your funds for the profit you will use to create financial freedom!
How To Make Your First One Million Dollars Trading Forex: (Forex Trading, How To Trade Forex, Forex Trading Strategies, Forex Strategy, Forex For Beginners)

Let’s face it, you’re in this to make Money...and LOTS of it! Now imagine right now how you’d feel if you made your first $1Million. See it in your bank account right now. People are discovering that what’s in this eBook…makes that VERY possible. Can you think of anything as exciting as Financial Freedom?

We should have titled this book, “THE MOST EFFECTIVE WAY TO FOREX MILLIONS” – because that’s what it really is.

Let me get past all the technical stuff, and just say this…
Our MISSION is to help the AVERAGE PERSON who’s trading FOREX to make MASSIVE PROFITS using our system.

We designed it to be EASY-TO-USE, so you know exactly when to trade for the biggest possible profits in the shortest possible time.
And, because we give you a REAL STRATEGY that will help you make REAL PROFITS – and ONLY real profits – you won’t make the mistakes like you would if you used some of the other systems out there.

Plus, here’s a little secret we’ll let you in on…
We’re the ones who CREATED many of the Indicators and Alerts for some of your favorite traders, if you’re following anyone. We’re the “white label” guys who sell our systems to the big marketers.
BUT…we’ve reserved our very BEST stuff for ourselves.
AND NOW…we’re making it available to you (for the time being) at a very AFFORDABLE price.
When you download this e-book, you’ll get the ultimate trading SYSTEM that will break the markets WIDE OPEN for you! And all the tools you'll need to trade this System are absolutely FREE...including our award-worthy email support (for any followup questions you may have about this system), and the remarkable “Your First $1Million Money Management Spreadsheet”.

You’ll be amazed, like many people, at how truly LUCRATIVE this system is – and how LOW the price is for our e-book!
But it’s ONLY for this very short “introductory” time period, so ACT NOW or you might miss out!
No over-hyped sales pitch. Just the REAL information that will make your FOREX dreams come true.
Don’t believe us? Our company was founded by a former NFA/CFTC regulated Hedge Fund CEO, and an IT Professional with a combined 31 years of trading experience in High-Frequency Trading (HFT), Stocks, Stock Options, Currencies, and Binaries.
We know what we’re talking about – 
and we want to empower you to 
trade smarter for massive profit.

Download it instantly to accomplish your goals now.

TABLE OF CONTENTS -
Introduction
Chapter 1: What You’ll Need
Chapter 2: Your Chart Setup
Chapter 3: High ADR’s + High TF’s = High Profit$
Chapter 4: Entry
Chapter 5: Exiting
Chapter 6: Money Management: Lots, Stops, And Swaps
Chapter 7: Conclusion
Forex Scalping Trading Strategies: How To Earn A Living Scalping Profits

Are you dissatisfied with amount of money you earn while dealing in forex? Forex traders looking to make quick bucks employ a method called forex scalping. They buy a certain currency and allow that position to stay only for a few seconds. In other words, they sell it almost immediately when the price goes up marginally. This is why forex scalping is also called quick trading. A forex trader is able to make small profits with each scalping trade, which can add up to a considerable amount. Learning how to trade profitably requires you to learn and master a few forex trading systems. The key to trading is becoming a master of a few trading strategies. Forex trading systems are important as they will provide you with structure, a set of rules and a plan to follow. This book will teach you some of the different types of forex scalping trading strategies and help you how to identify what makes the best forex trading system.
The Forex ''Set & Forget'' Profit System: It is VERY DIFFICULT TO LOSE with this extremely reliable trading system

My next Free Forex Trading Room is on Tuesday 1st August 2017. In it I will show you the best place to put your stop loss and take profit target.Everyone that registers gets the video recording.See below for website details where you can register.


I have two quick questions for you. The first question may not appear to have anything to do with Forex trading, but I will explain why it does.



If you were part of a jury in a court of Law would you find someone guilty without any evidence?

Did you know that 90% of retail traders worldwide lose all their trading account money?


The reason the first question is very relevant to Forex trading is that most of us (myself included in the past) have a tendency to believe what we read in books and on websites in the Forex industry. The books, software programs and Forex indicators often promise the earth, but have absolutely no proof that what they promote actually works. However, we can all get seduced by the messages that we read and many of us end up spending some (in my case a lot) of money on numerous books, indicators and software programs.


Who shows real EVIDENCE?


In doing so we assume things are factual without any EVIDENCE. For that reason, we should not have any complaints when we find that the things we buy do not help us to become consistently profitable traders. If we do not ensure that we have EVIDENCE before we make a decision to spend money, then it is OUR own fault if the products or services that we buy do not deliver what we were hoping for.


Is it therefore any wonder that 90% of all retail traders lose money?


We are all being sold stuff that sounds and looks great, but doesn't actually deliver results in the real world of Forex trading. Sadly the Forex industry is awash with people and companies that are all after our money, and they will say virtually anything to get it.How often have you seen a historical Forex chart showing a so called ‘’successful trade’’ using some or other indicator, software program or trading strategy? My guess is that you have seen plenty. Is that EVIDENCE that a system actually works long term?


Your search for a Forex trading system with REAL EVIDENCE is over.


In my book, the Set & Forget profit system I explain how I use a simple mathematical approach to trading Forex that has all the EVIDENCE you could ever ask for.


For the last FIVE YEARS I have been demonstrating the Set & Forget system LIVE in front of my trading room subscribers.


So I DO have REAL TIME EVIDENCE that my system works. I do not make claims that cannot be backed up with real PROOF of their efficacy. You can have total faith that what I say is true because I demonstrate my system every week LIVE in my trading rooms. I now have a provable track record of over 500 trades, all captured on a live video recording. My results are there for all to literally see with their own eyes.
Forex Patterns and Probabilities: Trading Strategies for Trending and Range-Bound Markets

While most books on trading deal with general concepts and shy away from specifics, Forex Patterns and Probabilities provides you with real-world strategies and a rare sense of clarity about the specific mechanics of currency trading. Leading trading educator Ed Ponsi will explain the driving forces in the currency markets and will provide strategies to enter, exit, and manage successful trades. Dozens of chart examples and explanations will guide you each step of the way and allow the reader to "look over the shoulder" of a professional trader hard at work at his craft.
This book provides traders with step-by-step methodologies that are based on real market tendencies. The strategies in this book are presented clearly and in detail, so that anyone who wishes to can learn how to trade like a professional. It is written in a style that is easy to understand, so that the reader can quickly learn and use the techniques provided.
Forex: How To Quickly Lose a Lot: Real stories from TradeFloor. The ultimate guide to markets. Read this before you invest

Nowadays, you see so many advertisements for forex and equity trading platforms as never before. A new global multi-billion dollar market is rising up. And it is aimed at you. It looks easy to invest and make a profit. Likewise, living the life of freelancer who does not need to work, because your money works instead of you. You just sit in front of a notebook, a tablet or even a mobile device, then click and earn. Never was it so easy to buy and sell different currencies, stocks or commodities. You do not even need a lot of money or money at all. Leverage is king these days. And leverage is also the start of your fall. But do not fool yourself. I have encountered a lot of young people who believe they can earn just by investing or trading. They do not see forex markets or stock exchanges as places where only hard work is rewarded. That is not surprising. You watch the movie “The Wolf of Wall Street” and see how fantastic, funny and easy that life is. Before that movie, there was the TV series “Capital City”, full of smart guys and women with now obsolete computers and phones, who were able to fend off stress and earn a lot of money. My dream was to be like them. And that is the dream for many others. Once you become a trader in a bank, you easily move to another dream. Not to be an employee, but to be an employer. To have your own trading outlet. To earn for yourself and not for a bank. And that is the crossroads that everyone has to encounter in order to choose which way to go. One is more exciting, one is safer. But that is not so important. All stories here are based on hard facts, on things I have seen with my own eyes.
Forex: Strategies - Best Forex Trading Strategies For High Profit and Reduced Risk (Forex, Forex Strategies, Forex Trading, Day Trading) (Volume 2)

Learn The Best Forex Strategies For High Profit & Reduced Risk!
With this book, you will become an expert on what Forex is as well as how you can use it in order to building riches. Not only that, but you will find that there are several different strategies that can be used in order to become a successful trader with Forex. Even if you are an experienced trader, you may find a strategy that works better for you than what you have been using before. An undisputable fact would be that many people use Forex every day as their job or as a hobby. So whether you want to use it as a hobby or as your everyday job, this book will give you the proper tools that will help you becoming a successful trader.
What you'll learn in this book:
What is Forex Trading
The History of Forex
How to determine a market's trend
Pivot Point Strategy
Moving Averages Strategy
Price Action Strategy
Turtle Strategy
Scalping Strategy
Candlestick Strategies
How to Manage your Money While Trading Forex
How to Reduce the Risk of a Loss
Tips and Tricks for Succeeding with Forex
And much more!

 

Selection of recommended books about data science:

Deep Learning with Keras

Key Features
Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games
See how various deep-learning models and practical use-cases can be implemented using Keras
A practical, hands-on guide with real-world examples to give you a strong foundation in Keras
Book Description
This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN). You will also explore non-traditional uses of neural networks as Style Transfer.

Finally, you will look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks.

What you will learn
Optimize step-by-step functions on a large neural network using the Backpropagation Algorithm
Fine-tune a neural network to improve the quality of results
Use deep learning for image and audio processing
Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases
Identify problems for which Recurrent Neural Network (RNN) solutions are suitable
Explore the process required to implement Autoencoders
Evolve a deep neural network using reinforcement learning
About the Author
Antonio Gulli is a software executive and business leader with a passion for establishing and managing global technological talent, innovation, and execution. He is an expert in search engines, online services, machine learning, information retrieval, analytics, and cloud computing. So far, he has been lucky enough to gain professional experience in four different countries in Europe and managed people in six different countries in Europe and America. Antonio served as CEO, GM, CTO, VP, director, and site lead in multiple fields spanning from publishing (Elsevier) to consumer internet (Ask.com and Tiscali) and high-tech R&D (Microsoft and Google).

Sujit Pal is a technology research director at Elsevier Labs, working on building intelligent systems around research content and metadata. His primary interests are information retrieval, ontologies, natural language processing, machine learning, and distributed processing. He is currently working on image classification and similarity using deep learning models. Prior to this, he worked in the consumer healthcare industry, where he helped build ontology-backed semantic search, contextual advertising, and EMR data processing platforms. He writes about technology on his blog at Salmon Run.

Table of Contents
Neural Networks Foundations
Keras Installation and API
Deep Learning with ConvNets
Generative Adversarial Networks and WaveNet
Word Embeddings
Recurrent Neural Network — RNN
Additional Deep Learning Models
AI Game Playing
Conclusion
Data Smart: Using Data Science to Transform Information into Insight

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.

But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.

Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet.
Building Machine Learning Projects with TensorFlow

Key Features
Bored of too much theory on TensorFlow? This book is what you need! Thirteen solid projects and four examples teach you how to implement TensorFlow in production.
This example-rich guide teaches you how to perform highly accurate and efficient numerical computing with TensorFlow
It is a practical and methodically explained guide that allows you to apply Tensorflow’s features from the very beginning.
Book Description
This book of projects highlights how TensorFlow can be used in different scenarios - this includes projects for training models, machine learning, deep learning, and working with various neural networks. Each project provides exciting and insightful exercises that will teach you how to use TensorFlow and show you how layers of data can be explored by working with Tensors. Simply pick a project that is in line with your environment and get stacks of information on how to implement TensorFlow in production.

What you will learn
Load, interact, dissect, process, and save complex datasets
Solve classification and regression problems using state of the art techniques
Predict the outcome of a simple time series using Linear Regression modeling
Use a Logistic Regression scheme to predict the future result of a time series
Classify images using deep neural network schemes
Tag a set of images and detect features using a deep neural network, including a Convolutional Neural Network (CNN) layer
Resolve character recognition problems using the Recurrent Neural Network (RNN) model
About the Author
Rodolfo Bonnin is a systems engineer and PhD student at Universidad Tecnológica Nacional, Argentina. He also pursued parallel programming and image understanding postgraduate courses at Uni Stuttgart, Germany.

He has done research on high performance computing since 2005 and began studying and implementing convolutional neural networks in 2008,writing a CPU and GPU - supporting neural network feed forward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks, and is currently working on signal classification using ML techniques.

Table of Contents:

Exploring and Transforming Data
Clustering
Linear Regression
Logistic Regression
Simple FeedForward Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks and LSTM
Deep Neural Networks
Running Models at Scale – GPU and Serving
Library Installation and Additional Tips
Getting Started with TensorFlow

Key Features
Get the first book on the market that shows you the key aspects TensorFlow, how it works, and how to use it for the second generation of machine learning
Want to perform faster and more accurate computations in the field of data science? This book will acquaint you with an all-new refreshing library—TensorFlow!
Dive into the next generation of numerical computing and get the most out of your data with this quick guide
Book Description
Google's TensorFlow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks.

This book takes you through the practical software implementation of various machine learning techniques with TensorFlow. In the first few chapters, you'll gain familiarity with the framework and perform the mathematical operations required for data analysis. As you progress further, you'll learn to implement various machine learning techniques such as classification, clustering, neural networks, and deep learning through practical examples.

By the end of this book, you’ll have gained hands-on experience of using TensorFlow and building classification, image recognition systems, language processing, and information retrieving systems for your application.

What you will learn
Install and adopt TensorFlow in your Python environment to solve mathematical problems
Get to know the basic machine and deep learning concepts
Train and test neural networks to fit your data model
Make predictions using regression algorithms
Analyze your data with a clustering procedure
Develop algorithms for clustering and data classification
Use GPU computing to analyze big data

About the Author
Giancarlo Zaccone has more than 10 years of experience managing research projects in both the scientific and industrial domains. He worked as researcher at the C.N.R, the National Research Council, where he was involved in projects related to parallel numerical computing and scientific visualization.

Currently, he is a senior software engineer at a consulting company developing and maintaining software systems for space and defence applications.

Giancarlo holds a master's degree in physics from the Federico II of Naples and a 2nd level postgraduate master course in scientific computing from La Sapienza of Rome.

He has already been a Packt author for the following book: Python Parallel Programming Cookbook.

Table of Contents:

TensorFlow – Basic Concepts
Doing Math with TensorFlow
Starting with Machine Learning
Introducing Neural Networks
Deep Learning
GPU Programming and Serving with TensorFlow
Machine Learning with TensorFlow

Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning systems that can turn massive amounts of data into valuable insights. But when you're just starting out in the data science field, how do you get started creating machine learning applications? The answer is TensorFlow, a new open source machine learning library from Google. The TensorFlow library can take your high level designs and turn them into the low level mathematical operations required by machine learning algorithms.

Machine Learning with TensorFlow teaches readers about machine learning algorithms and how to implement solutions with TensorFlow. It starts with an overview of machine learning concepts and moves on to the essentials needed to begin using TensorFlow. Each chapter zooms into a prominent example of machine learning. Readers can cover them all to master the basics or skip around to cater to their needs. By the end of this book, readers will be able to solve classification, clustering, regression, and prediction problems in the real world.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Deep Learning with TensorFlow

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide

About This Book
Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide
Real-world contextualization through some deep learning problems concerning research and application
Who This Book Is For
The book is intended for a general audience of people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.

What You Will Learn:

Learn about machine learning landscapes along with the historical development and progress of deep learning
Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x
Access public datasets and utilize them using TensorFlow to load, process, and transform data
Use TensorFlow on real-world datasets, including images, text, and more
Learn how to evaluate the performance of your deep learning models
Using deep learning for scalable object detection and mobile computing
Train machines quickly to learn from data by exploring reinforcement learning techniques
Explore active areas of deep learning research and applications
TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms

TensorFlow, a popular library for machine learning, embraces the innovation and community-engagement of open source, but has the support, guidance, and stability of a large corporation. Because of its multitude of strengths, TensorFlow is appropriate for individuals and businesses ranging from startups to companies as large as, well, Google. TensorFlow is currently being used for natural language processing, artificial intelligence, computer vision, and predictive analytics. TensorFlow, open sourced to the public by Google in November 2015, was made to be flexible, efficient, extensible, and portable. Computers of any shape and size can run it, from smartphones all the way up to huge computing clusters. This book is for anyone who knows a little machine learning (or not) and who has heard about TensorFlow, but found the documentation too daunting to approach. It introduces the TensorFlow framework and the underlying machine learning concepts that are important to harness machine intelligence. After reading this book, you should have a deep understanding of the core TensorFlow API.
Learning TensorFlow: A Guide to Building Deep Learning Systems

TensorFlow is currently the leading open-source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, Natural Language Processing (NLP), speech recognition, and general predictive analytics. This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students and researchers.

With this book you will learn how to:

Get up and running with TensorFlow, rapidly and painlessly
Build and train popular deep learning models for computer vision and NLP
Apply your advanced understanding of the TensorFlow framework to build and adapt models for your specific needs
Train models at scale, and deploy TensorFlow in a production setting
TensorFlow Machine Learning Cookbook

Key Features
Your quick guide to implementing TensorFlow in your day-to-day machine learning activities
Learn advanced techniques that bring more accuracy and speed to machine learning
Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlow
Book Description
TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning each using Google's machine learning library TensorFlow.

This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP.

Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production.

What you will learn
Become familiar with the basics of the TensorFlow machine learning library
Get to know Linear Regression techniques with TensorFlow
Learn SVMs with hands-on recipes
Implement neural networks and improve predictions
Apply NLP and sentiment analysis to your data
Master CNN and RNN through practical recipes
Take TensorFlow into production
About the Author
Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University.

He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his Twitter account, @nfmcclure.

Table of Contents
Getting Started with TensorFlow
The TensorFlow Way
Linear Regression
Support Vector Machines
Nearest Neighbor Methods
Neural Networks
Natural Language Processing
Convolutional Neural Networks
Recurrent Neural Networks
Taking TensorFlow to Production
More with TensorFlow
The Complete Guide to TensorFlow 1.x

Become an expert in machine learning and deep learning with the new TensorFlow 1.x

About This Book
Learn to implement TensorFlow in production
Perform highly accurate and efficient numerical computing with TensorFlow
Unlock the advanced techniques that bring more accuracy and speed to machine learning activities
Explore various possibilities with deep learning and gain amazing insights from data
Who This Book Is For
Are you a data analyst, data scientist, or a researcher looking forward to a guide that will help you increase the speed and efficiency of your machine learning activities? If yes, then this course is for you!

What You Will Learn
Learn about machine learning landscapes along with the historical development and progress of deep learning
Load, interact, process, and save complex datasets
Solve classification and regression problems using state-of-the-art techniques
Train machines quickly to learn from data by exploring reinforcement learning techniques
Classify images using deep neural network schemes
Learn about deep machine intelligence and GPU computing
Explore active areas of deep learning research and applications
In Detail
The aim of the course is to help you tackle the common commercial machine learning and deep learning problems that you’re facing in your day-to-day activities.

This Learning Journey begins with an introduction to machine learning and deep learning. You will explore the main features and capabilities of TensorFlow such as computation graph, data model, programming model, and TensorBoard. The key highlight is the course will teach you how to upgrade our code from TensorFlow 0.x to TensorFlow 1.x. Next, you will learn the different techniques of machine learning such as clustering, linear regression, and logistic regression with the help of real-world projects and examples. You will also learn the concepts of reinforcement learning, the Q-learning algorithm, and the OpenAI Gym framework. Moving ahead you will dive into neural networks and see how convolution, recurrent, and deep neural networks work and the main operation types used in building them. Next, you will learn the advanced concepts such as GPU computing and multimedia programming. Finally, the course demonstrate an example on deep learning on Android using TensorFlow.

By the end of this course, you will have a solid knowledge of the all-new TensorFlow and be able to implement it efficiently in production.

Style and approach
This course takes a step-by-step approach to teach you how to implement TensorFlow in production. Starting with the basics of TensorFlow, you will learn machine learning and deep learning techniques, along with the advanced concepts of TensorFlow. With the help of real-world projects and examples, this course will help you apply Tensorflow's features from scratch.

This course is a blend of text, videos, code examples, and assessments, all packaged up keeping your journey in mind. The curator of this course has combined some of the best that Packt has to offer in one complete package. It includes content from the following Packt products:

Building Machine Learning Systems with TensorFlow by Rodolfo Bonnin
Deep Learning with TensorFlow by Giancarlo Zaccone, Md. Rezaul Karim, and Ahmed Menshawy
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists but also how to participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.

Understand how data science fits in your organization—and how you can use it for competitive advantage
Treat data as a business asset that requires careful investment if you’re to gain real value
Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way
Learn general concepts for actually extracting knowledge from data
Apply data science principles when interviewing data science job candidates
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.

Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way.

You’ll learn how to:

Wrangle—transform your datasets into a form convenient for analysis
Program—learn powerful R tools for solving data problems with greater clarity and ease
Explore—examine your data, generate hypotheses, and quickly test them
Model—provide a low-dimensional summary that captures true "signals" in your dataset
Communicate—learn R Markdown for integrating prose, code, and results
Data Science from Scratch: First Principles with Python
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.

Get a crash course in Python
Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science
Collect, explore, clean, munge, and manipulate data
Dive into the fundamentals of machine learning
Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering
Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
Practical Statistics for Data Scientists: 50 Essential Concepts

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.

Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.

With this book, you’ll learn:

Why exploratory data analysis is a key preliminary step in data science
How random sampling can reduce bias and yield a higher quality dataset, even with big data
How the principles of experimental design yield definitive answers to questions
How to use regression to estimate outcomes and detect anomalies
Key classification techniques for predicting which categories a record belongs to
Statistical machine learning methods that “learn” from data
Unsupervised learning methods for extracting meaning from unlabeled data
Naked Statistics: Stripping the Dread from the Data

“Brilliant, funny . . . the best math teacher you never had.”―San Francisco Chronicle

Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.

And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal―and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Numsense! Data Science for the Layman: No Math Added

Used in Stanford's CS102 Big Data (Spring 2017) course.

Want to get started on data science?
Our promise: no math added.

This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly.

Popular concepts covered include:

A/B Testing
Anomaly Detection
Association Rules
Clustering
Decision Trees and Random Forests
Regression Analysis
Social Network Analysis
Neural Networks
Features:

Intuitive explanations and visuals
Real-world applications to illustrate each algorithm
Point summaries at the end of each chapter
Reference sheets comparing the pros and cons of algorithms
Glossary list of commonly-used terms
With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.
What Is Data Science?

We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data-driven apps." Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by "data science." A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products.
Storytelling with Data: A Data Visualization Guide for Business Professionals

Don't simply show your data—tell a story with it!
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.

Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:

Understand the importance of context and audience
Determine the appropriate type of graph for your situation
Recognize and eliminate the clutter clouding your information
Direct your audience's attention to the most important parts of your data
Think like a designer and utilize concepts of design in data visualization
Leverage the power of storytelling to help your message resonate with your audience
Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
Python Data Science Handbook: Essential Tools for Working with Data

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.

Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.

With this handbook, you’ll learn how to use:

IPython and Jupyter: provide computational environments for data scientists using Python
NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python
Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python
Matplotlib: includes capabilities for a flexible range of data visualizations in Python
Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.
Statistics: Learning from Data

STATISTICS: LEARNING FROM DATA, by respected and successful author Roxy Peck, resolves common problems faced by learners of elementary statistics with an innovative approach. Peck tackles the areas learners struggle with most--probability, hypothesis testing, and selecting an appropriate method of analysis--unlike any book on the market. Probability coverage is based on current research that shows how users best learn the subject. Two unique chapters, one on statistical inference and another on learning from experiment data, address two common areas of confusion: choosing a particular inference method and using inference methods with experimental data. Supported by learning objectives, real-data examples and exercises, and technology notes, this brand new book guides readers in gaining conceptual understanding, mechanical proficiency, and the ability to put knowledge into practice.
Data Analytics Made Accessible: 2017 edition

This book fills the need for a concise and conversational book on the growing field of Data Science. Easy to read and informative, this lucid book covers everything important, with concrete examples, and invites the reader to join this field. The chapters in the book are organized for a typical one-semester course. The book contains case-lets from real-world stories at the beginning of every chapter. There is also a running case study across the chapters as exercises. This book is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms. Finally, it includes a tutorial for R platform.
The book has proved very popular throughout the world. Many universities in the US, and around the world, have adopted it as a textbook for their courses. This 2017 edition has added four new chapters in response to the thoughts and suggestions expressed by many reviewers.
Students across a variety of academic disciplines, including business, computer science, statistics, engineering, and others attracted to the idea of discovering new insights and ideas from data can use this as a textbook. Professionals in various domains, including executives, managers, analysts, professors, doctors, accountants, and others can use this book to learn in a few hours how to make sense of and develop actionable insights from the enormous data coming their way. This is a flowing book that one can finish in one sitting, or one can return to it again and again for insights and techniques.
The Data Science Handbook

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline

Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline.

Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features:

• Extensive sample code and tutorials using Python™ along with its technical libraries

• Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems

• Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity

• A wide variety of case studies from industry

• Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed

The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set.

FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.
Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life

The Ultimate Guide to Data Science and Analytics
This practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly integrates ever deeper into business and our daily lives. The need for a succinct and informal guide to this important field has never been greater.
RIGHT NOW you can get ahead of the pack!
This coherent guide covers everything you need to know on the subject of data science, with numerous concrete examples, and invites the reader to dive further into this exciting field. Students from a variety of academic backgrounds, including computer science, business, engineering, statistics, anyone interested in discovering new ideas and insights derived from data can use this as a textbook. At the same time, professionals such as managers, executives, professors, analysts, doctors, developers, computer scientists, accountants, and others can use this book to make a quantum leap in their knowledge of big data in a matter of only a few hours. Learn how to understand this field and uncover actionable insights from data through analytics.
Data Driven

Succeeding with data isn’t just a matter of putting Hadoop in your machine room, or hiring some physicists with crazy math skills. It requires you to develop a data culture that involves people throughout the organization. In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt.

You’ll not only learn examples of how Google, LinkedIn, and Facebook use their data, but also how Walmart, UPS, and other organizations took advantage of this resource long before the advent of Big Data. No matter how you approach it, building a data culture is the key to success in the 21st century.

You’ll explore:

Data scientist skills—and why every company needs a Spock
How the benefits of giving company-wide access to data outweigh the costs
Why data-driven organizations use the scientific method to explore and solve data problems
Key questions to help you develop a research-specific process for tackling important issues
What to consider when assembling your data team
Developing processes to keep your data team (and company) engaged
Choosing technologies that are powerful, support teamwork, and easy to use and learn.
Doing Data Science: Straight Talk from the Frontline

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.

In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.

Topics include:

Statistical inference, exploratory data analysis, and the data science process
Algorithms
Spam filters, Naive Bayes, and data wrangling
Logistic regression
Financial modeling
Recommendation engines and causality
Data visualization
Social networks and data journalism
Data engineering, MapReduce, Pregel, and Hadoop
Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists

The Data Science Handbook contains interviews with 25 of the world s best data scientists. We sat down with them, had in-depth conversations about their careers, personal stories, perspectives on data science and life advice. In The Data Science Handbook, you will find war stories from DJ Patil, US Chief Data Officer and one of the founders of the field. You ll learn industry veterans such as Kevin Novak and Riley Newman, who head the data science teams at Uber and Airbnb respectively. You ll also read about rising data scientists such as Clare Corthell, who crafted her own open source data science masters program. This book is perfect for aspiring or current data scientists to learn from the best. It s a reference book packed full of strategies, suggestions and recipes to launch and grow your own data science career.
Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software.
This book will help you:

Become a contributor on a data science team
Deploy a structured lifecycle approach to data analytics problems
Apply appropriate analytic techniques and tools to analyzing big data
Learn how to tell a compelling story with data to drive business action
Prepare for EMC Proven Professional Data Science Certification
Corresponding data sets are available at www.wiley.com/go/9781118876138.

Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
Data Analytics: The Insider's Guide To Master Data Analytics (Business Intelligence, Data Science - Leverage and Integrate Data Analytics into your Business)

Analytics is a vital part of the business world we live in today. Without a detailed analysis of market conditions and other factors it would be impossible to tell if any new venture, whether it be a new business or the revamp of an old one, would be profitable.

Data Analytics: Insider’s Guide to Master Data Analytics will help you to better understand the complexities of data analytics. It will show you the benefits it can have for your business and how to make the best decisions.

The chapters include detailed information on;

The basics of analytics
Techniques for data analysis
Genetic algorithms
Regression analysis
Social network analysis
And much more…
The benefits of understanding data analysis will help your business to prosper and expand in the right directions, cutting down on risk and creating greater profitability.

The Insider’s Guide to Master Data Analytics is a book which is thorough and complete, delivering all the information you’ll ever need, in one handy book and providing you with real life examples of those businesses that got it right.

Get you copy today and see your business thrive for tomorrow.
Data Analytics: What Every Business Must Know About Big Data And Data Science

Are You Actively Analyzing the Data Surrounding Your Business? Keep Reading to Learn Why You Should Be..

You may be the owner of a business, or someone who actively participates in the day to day operations of a business. We will go ahead and assume that your business is operating at a profit and you are happy with the direction it is going. As someone in this situation you might ask yourself, "Why do I need Data Analysis anyways?". I'll tell you why, one simple reason. You are leaving money on the table. Let's put it this way.. you are doing good, but wouldn't you rather be doing great? Wouldn't you rather have the ability to predict how the consumers in your target market are going to be behaving a year from now? Five years from now? This is where Data Analysis comes in.

Many people realize the need to pay attention to data in their business, but have no clue where to start. With the help of this book you will be better able to understand the importance of the data surrounding your business and exactly what to do with it.

A Preview of What You Will Learn
The Importance of Data in Business
Exactly How to Handle and Manage Big Data
Real World Examples of Data Science Benefiting Businesses
Ways Data Can Be Used to Mitigate Risks
The Entire Process of Data Analytics
Much, much more!
Data Science with Java: Practical Methods for Scientists and Engineers

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today’s data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.

You’ll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you’ll find code examples you can use in your applications.

Examine methods for obtaining, cleaning, and arranging data into its purest form
Understand the matrix structure that your data should take
Learn basic concepts for testing the origin and validity of data
Transform your data into stable and usable numerical values
Understand supervised and unsupervised learning algorithms, and methods for evaluating their success
Get up and running with MapReduce, using customized components suitable for data science algorithms.
How To Start a Career in Data Science

Data Science is the job of the decade. Yet there are only a few colleges which have a course on data science. This book is all about how to start a career in data science. The book covers all the detail of the topics to cover, tools and technologies to learn, important concepts, interview questions, companies to apply. This is a complete guide which can help you start a career as the sexiest job 21st Century
Data Science at the Command Line: Facing the Future with Time-Tested Tools

This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.

To get you started—whether you’re on Windows, OS X, or Linux—author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.

Discover why the command line is an agile, scalable, and extensible technology. Even if you’re already comfortable processing data with, say, Python or R, you’ll greatly improve your data science workflow by also leveraging the power of the command line.

Obtain data from websites, APIs, databases, and spreadsheets
Perform scrub operations on plain text, CSV, HTML/XML, and JSON
Explore data, compute descriptive statistics, and create visualizations
Manage your data science workflow using Drake
Create reusable tools from one-liners and existing Python or R code
Parallelize and distribute data-intensive pipelines using GNU Parallel
Model data with dimensionality reduction, clustering, regression, and classification algorithms.
Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.

Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization.

Build value from your data in a series of agile sprints, using the data-value pyramid
Extract features for statistical models from a single dataset
Visualize data with charts, and expose different aspects through interactive reports
Use historical data to predict the future via classification and regression
Translate predictions into actions
Get feedback from users after each sprint to keep your project on track
Markov Models: Understanding Data Science, Markov Models And Unsupervised Machine Learning In Python

Do you want to MASTER data science?

Learn how MACHINE LEARNING systems can carry out multifaceted processes by learning from data?

Understand MARKOV MODELS and how they can help your correctly forecast future events?

Want to explore practical implementations of Markov models in PYTHON PROGRAMMING environment?

Then you should DOWNLOAD your copy today

The aim of machine learning is to train the computers or machine to learn on its own and make informed decisions in a relatively shorter time than what human beings can do.

The primary objective of this book is to provide you with all the ins and outs of Markov models and unsupervised machine learning over a range of multi-faceted applications. Specifically, the book will explore practical implementations of Markov models in Python programming environment.

You'll discover: - Types of machine learning algorithms - The mathematics behind markov algorithms - Application of markov models in python programming - Application of markov models in - gaming - Speech recognition - Weather reporting and much much more!
Data Science Interviews Exposed

Data Science Interviews Exposed offers data science career advice and REAL interview questions to help you get the six-figures salary jobs! A data science job is extremely rewarding. It empowers to you make real impact in the world! And besides, it offers competitive salaries, and it develops your creative as well as quantitative skills. No wonder the data science job is rated as one of the sexist jobs in 21st century. So what you are waiting for ?
Are you still wondering how to join data science work force ?
Are you lost in the tremendous amount of online data science courses and resources ?
Are you endlessly searching online to find data science interview questions and answers?
If you answer yes for any of the questions, Data Science Interviews Exposed is a book you absolutely want to read. Why?
This book is written by data science professionals from Facebook, LinkedIn, Amazon, Google and Microsoft, with years of first hand working and interviewing experience.
This is the first book in the industry that systematically covers everything for preparing for a data science career and interviews, and with real interview questions and detailed answers.
This book provides both career guidance for entry level candidates as well as interview questions practice for intermediate candidates.

Here is a full list of topics:
Introduction
This chapter presents an overview to the data science job market and the book organization.

Find the Right Job Roles
Get confused about the various data science job titles? This chapter provides a detailed description for each of them, the differences among them, as well as the guidance for choosing the one that suits you the most.

Find the Right Experience
Don't know how to prepare yourself with the right experience to meet the job requirements and your career goals? This chapter helps you to identify the experience you need to land your dream position. It also provides suggestions for new graduates as well as candidates from a different industry who want to transfer to data science field.

Get Ready for the Interviews
Think you have a clear goal and have possessed all the required skill sets, but just don't know how to get job interviews? This chapter walks you through how to build good resumes and professional profiles that would bring you the right exposure to the right person -- recruiters and hiring managers.

Polish Your Soft Skills
Heard of your competent peers failing job interviews and want to know why? This chapter reveals the secrets that most companies don t talk about publicly -- the soft skills. What are behavior questions, why are they important, how do you prepare for them? You will find the answer here.

Technical Interview Questions
An interview is not a pop quiz. You should take the time to practice on real interview problems and learn their patterns. This chapter lists eight major topics that are frequently covered by data science job interviews, associated with example interview questions for each of them. All of them are either real interview questions or adapted from real interview questions:
Probability Theory
Statistical Inference
Dataset Manipulation
Product, Metrics and Analytics
Experiment Design
Coding
Machine Learning
Brain Teasers
Solutions to Technical Interview Questions
This chapter attaches the solutions and thought process for each question in the previous chapter. We hope the readers can grasp the key points behind each of them, hence be able to apply the approaches to other similar questions in the real interviews.
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.

Explore the machine learning landscape, particularly neural nets
Use scikit-learn to track an example machine-learning project end-to-end
Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
Use the TensorFlow library to build and train neural nets
Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
Learn techniques for training and scaling deep neural nets
Apply practical code examples without acquiring excessive machine learning theory or algorithm details
Data Science in Python. Volume 1: Get and Install Scientific Python3: WinPython, Anaconda

Python is the most popular programming language in scientific computing today. This series is for people who want to start using Python 3 and its popular extension libraries quickly. I assume you are familiar with Python. This short introductory volume 1 is intended to get you started with scientific Python distribution necessary to run examples from other volumes. It covers how to:
Obtain and install Winpython or Anaconda Python distribution.

Start a Jupyter (formerly IPython) notebook

Use IDLE and Spyder integrated development environments

Gives an overview of the topics covered in the following volumes


Volume 2 of this series, that describes how to read tabular data, save it as text or Microsoft Excel file, explore data interactively with Ipython notebook, create GUI application with TkInter, package your program for deployment on other computers, do efficient computation with Numpy, run Python at the speed of compiled program on all cores of your processor.

Volume 3 describes plotting library Matplotlib and using Python together with SQLite database.
Introduction to Machine Learning with Python: A Guide for Data Scientists

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.

You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.

With this book, you’ll learn:

Fundamental concepts and applications of machine learning
Advantages and shortcomings of widely used machine learning algorithms
How to represent data processed by machine learning, including which data aspects to focus on
Advanced methods for model evaluation and parameter tuning
The concept of pipelines for chaining models and encapsulating your workflow
Methods for working with text data, including text-specific processing techniques
Suggestions for improving your machine learning and data science skills
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.

Practical Data Science with R

Summary

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Book

Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics.

Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels.

This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed.

What's Inside

Data science for the business professional
Statistical analysis using the R language
Project lifecycle, from planning to delivery
Numerous instantly familiar use cases
Keys to effective data presentations
About the Authors

Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at win-vector.com.

Table of Contents

PART 1 INTRODUCTION TO DATA SCIENCE
The data science process
Loading data into R
Exploring data
Managing data
PART 2 MODELING METHODS
Choosing and evaluating models
Memorization methods
Linear and logistic regression
Unsupervised methods
Exploring advanced methods
PART 3 DELIVERING RESULTS
Documentation and deployment
Producing effective presentations
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.

Use the IPython interactive shell as your primary development environment
Learn basic and advanced NumPy (Numerical Python) features
Get started with data analysis tools in the pandas library
Use high-performance tools to load, clean, transform, merge, and reshape data
Create scatter plots and static or interactive visualizations with matplotlib
Apply the pandas groupby facility to slice, dice, and summarize datasets
Measure data by points in time, whether it’s specific instances, fixed periods, or intervals
Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples
Machine Learning with R - Second Edition

Key Features
Harness the power of R for statistical computing and data science
Explore, forecast, and classify data with R
Use R to apply common machine learning algorithms to real-world scenarios
Book Description
Machine learning, at its core, is concerned with transforming data into actionable knowledge. This makes machine learning well suited to the present-day era of big data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. Whether you are new to data analytics or a veteran, machine learning with R offers a powerful set of methods to quickly and easily gain insights from your data.

Want to turn your data into actionable knowledge, predict outcomes that make real impact, and have constantly developing insights? R gives you access to the cutting-edge power you need to master exceptional machine learning techniques.

Updated and upgraded to the latest libraries and most modern thinking, the second edition of Machine Learning with R provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience.

With this book you’ll discover all the analytical tools you need to gain insights from complex data and learn how to to choose the correct algorithm for your specific needs. Through full engagement with the sort of real-world problems data-wranglers face, you’ll learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering. Transform the way you think about data; discover machine learning with R.

What you will learn
Harness the power of R to build common machine learning algorithms with real-world data science applications
Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results
Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems
Classify your data with Bayesian and nearest neighbour methods
Predict values by using R to build decision trees, rules, and support vector machines
Forecast numeric values with linear regression, and model your data with neural networks
Evaluate and improve the performance of machine learning models
Learn specialized machine learning techniques for text mining, social network data, big data, and more
About the Author
Brett Lantz has used innovative data methods to understand human behavior for more than 10 years. A sociologist by training, he was first enchanted by machine learning while studying a large database of teenagers' social networking website profiles. Since then, he has worked on the interdisciplinary studies of cellular telephone calls, medical billing data, and philanthropic activity, among others.

Table of Contents
Introducing Machine Learning
Managing and Understanding Data
Lazy Learning – Classification Using Nearest Neighbors
Probabilistic Learning – Classification Using Naive Bayes
Divide and Conquer – Classification Using Decision Trees and Rules
Forecasting Numeric Data – Regression Methods
Black Box Methods – Neural Networks and Support Vector Machines
Finding Patterns – Market Basket Analysis Using Association Rules
Finding Groups of Data – Clustering with K-means
Evaluating Model Performance
Improving Model Performance
Specialized Machine Learning Topics
Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started.

About the Book

Introducing Data ScienceIntroducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You’ll explore data visualization, graph databases, the use of NoSQL, and the data science process. You’ll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you’ll have the solid foundation you need to start a career in data science.

What’s Inside

Handling large data
Introduction to machine learning
Using Python to work with data
Writing data science algorithms
About the Reader

This book assumes you're comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required.

About the Authors

Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors.

Table of Contents

Data science in a big data world
The data science process
Machine learning
Handling large data on a single computer
First steps in big data
Join the NoSQL movement
The rise of graph databases
Text mining and text analytics
Data visualization to the end user
Mastering Python for Data Science

Explore the world of data science through Python and learn how to make sense of data

About This Book
Master data science methods using Python and its libraries
Create data visualizations and mine for patterns
Advanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learning
Who This Book Is For
If you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of data science is assumed.

What You Will Learn
Manage data and perform linear algebra in Python
Derive inferences from the analysis by performing inferential statistics
Solve data science problems in Python
Create high-end visualizations using Python
Evaluate and apply the linear regression technique to estimate the relationships among variables.
Build recommendation engines with the various collaborative filtering algorithms
Apply the ensemble methods to improve your predictions
Work with big data technologies to handle data at scale
In Detail
Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive value from it. The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for the data science practitioner and a must-know tool for every aspiring data scientist. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving.

This comprehensive guide helps you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science.

Beginning with the essentials of Python in data science, you will learn to manage data and perform linear algebra in Python. You will move on to deriving inferences from the analysis by performing inferential statistics, and mining data to reveal hidden patterns and trends. You will use the matplot library to create high-end visualizations in Python and uncover the fundamentals of machine learning. Next, you will apply the linear regression technique and also learn to apply the logistic regression technique to your applications, before creating recommendation engines with various collaborative filtering algorithms and improving your predictions by applying the ensemble methods.

Finally, you will perform K-means clustering, along with an analysis of unstructured data with different text mining techniques and leveraging the power of Python in big data analytics.

Style and approach
This book is an easy-to-follow, comprehensive guide on data science using Python. The topics covered in the book can all be used in real world scenarios.
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'Reilly Cookbooks)

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.

Create vectors, handle variables, and perform other basic functions
Input and output data
Tackle data structures such as matrices, lists, factors, and data frames
Work with probability, probability distributions, and random variables
Calculate statistics and confidence intervals, and perform statistical tests
Create a variety of graphic displays
Build statistical models with linear regressions and analysis of variance (ANOVA)
Explore advanced statistical techniques, such as finding clusters in your data
"Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author
Think Like a Data Scientist: Tackle the data science process step-by-step

Summary

Think Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Data collected from customers, scientific measurements, IoT sensors, and so on is valuable only if you understand it. Data scientists revel in the interesting and rewarding challenge of observing, exploring, analyzing, and interpreting this data. Getting started with data science means more than mastering analytic tools and techniques, however; the real magic happens when you begin to think like a data scientist. This book will get you there.

About the Book

Think Like a Data Scientist teaches you a step-by-step approach to solving real-world data-centric problems. By breaking down carefully crafted examples, you'll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data. As you read, you'll discover (or remember) valuable statistical techniques and explore powerful data science software. More importantly, you'll put this knowledge together using a structured process for data science. When you've finished, you'll have a strong foundation for a lifetime of data science learning and practice.

What's Inside

The data science process, step-by-step
How to anticipate problems
Dealing with uncertainty
Best practices in software and scientific thinking
About the Reader

Readers need beginner programming skills and knowledge of basic statistics.

About the Author

Brian Godsey has worked in software, academia, finance, and defense and has launched several data-centric start-ups.

Table of Contents

PART 1 - PREPARING AND GATHERING DATA AND KNOWLEDGE
Philosophies of data science
Setting goals by asking good questions
Data all around us: the virtual wilderness
Data wrangling: from capture to domestication
Data assessment: poking and prodding
PART 2 - BUILDING A PRODUCT WITH SOFTWARE AND STATISTICS
Developing a plan
Statistics and modeling: concepts and foundations
Software: statistics in action
Supplementary software: bigger, faster, more efficient
Plan execution: putting it all together
PART 3 - FINISHING OFF THE PRODUCT AND WRAPPING UP
Delivering a product
After product delivery: problems and revisions
Wrapping up: putting the project away
R Programming for Data Science

Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.
Machine Learning With R Cookbook - 110 Recipes for Building Powerful Predictive Models with R

Key Features
Apply R to simplify predictive modeling with short and simple code
Use machine learning to solve problems ranging from small to big data
Build a training and testing dataset from the churn dataset, applying different classification methods
Book Description
The R language is a powerful open source functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics.

This book covers the basics of R by setting up a user-friendly programming environment and performing data ETL in R. Data exploration examples are provided that demonstrate how powerful data visualization and machine learning is in discovering hidden relationships. You will then dive into important machine learning topics, including data classification, regression, clustering, association rule mining, and dimension reduction.

What you will learn
Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm
Visualize patterns and associations using a range of graphs and find frequent itemsets using the Eclat algorithm
Compare differences between each regression method to discover how they solve problems
Predict possible churn users with the classification approach
Implement the clustering method to segment customer data
Compress images with the dimension reduction method
Incorporate R and Hadoop to solve machine learning problems on Big Data
About the Author
Yu-Wei, Chiu (David Chiu) is the founder of Largit Data. He has previously worked for Trend Micro as a software engineer, with the responsibility of building big data platforms for business intelligence and customer relationship management systems. In addition to being a start-up entrepreneur and data scientist, he specializes in using Spark and Hadoop to process big data and apply data mining techniques for data analysis.

Table of Contents
Practical Machine Learning with R
Data Exploration with RMS Titanic
R and Statistics
Understanding Regression Analysis
Classification (I) Tree, Lazy, and Probabilistic
Classification (II) Neural Network and SVM
Model Evaluation
Ensemble Learning
Clustering
Association Analysis and Sequence Minin
Dimension Reduction
Big Data Analysis (R and Hadoop)