Description

Book Synopsis
Turn insight into profit with guru guidance toward successful algorithmic trading A Guide to Creating a Successful Algorithmic Trading Strategy provides the latest strategies from an industry guru to show you how to build your own system from the ground up.

Table of Contents

Acknowledgments xi

Chapter 1 A Brief Introduction: The Ground Rules 1

My Objective 2

The Ground Rules 3

The Process 3

Basic Trading Systems 6

Chapter 2 The Idea 9

Begin at the Beginning 9

The Idea Must Match Your Trading Personality 11

I Need a Fast Payout 12

Withstanding the Test of Time 13

Chapter 3 Don’t Make It Complex 15

A Word about Noise 17

Integrated Solutions versus Building Blocks 18

More Rules, Fewer Opportunities, Less Success 19

Chapter 4 Why Should I Care about “Robust”

If I’m Trading Only Apple? 21

Is It Robust? 22

Another Dimension 25

But Which Parameter Value Do I Trade? 27

Multiple Time Frames 28

Is One Trend Method Better Than Another? 29

Chapter 5 Less is More 33

Volatility Cuts Both Ways 34

Bull Markets Happen When Everyone is in Denial 36

Chapter 6 If You’re a Trend Follower, Don’t Use Profit-Taking or Stops 39

The Dynamics of a Trend Strategy 42

It’s Getting Harder to Find the Trend 42

The Eurodollar Trend 43

Where Do You Place Your Stop? 45

What about Profit-Taking? 46

Entering on a Pullback 47

Which is the Best Trend-Following Method? 48

Chapter 7 Take Your Profit If You’re a Short-Term Trader 51

What’s Bad for the Trend is Good for the Short-Term Trader 53

If You Can’t Use Stops for Trend Following, Can You Use Them for Short-Term Trading? 55

There Are Always Exceptions 56

Chapter 8 Searching for the Perfect System 59

Looking at the Results 61

How Much Data and How Many Trades Are Enough? 62

So, Which Parameter Value Do I Pick? 63

Chapter 9 Equal Opportunity Trading 65

Calculating Position Size 66

Avoid Low-Priced Stocks 66

True Volatility-Adjusting Doesn’t Work for a Portfolio of Stocks 67

Risk in Futures 67

Target Risk 68

Calculate the Rate of Return for the Portfolio 69

Assigning Risk to Your Portfolio 72

Multiple Strategies Are More Important 73

Not So Easy for the Institutions 75

Too Much of a Good Thing Can Be Bad 75

Chapter 10 Testing—The Fork in the Road 79

Let the Computer Solve It for You 81

How Do You Evaluate the Results? 83

What’s Feedback? 84

Hidden Danger 86

Forgotten History 86

Use True Costs 87

Use Dirty Data 89

Back-Adjusted and Split-Adjusted Data 91

The Different Performance Measures 92

Interpreting the Ratio 92

Not Everyone Uses the Information Ratio 93

Number of Trades 94

Expectations 94

Chapter 11 Beating It into Submission 97

Fixing Losing Periods 97

Use the Average Results 99

Squeezing the Life Out of a System 101

Generalizing the Rules 105

Chapter 12 More on Futures 107

Leverage 108

Conversion Factors for Calculating Returns 109

Don’t Forget FX 110

FX Quotes 111

Real Diversification 113

The Life Cycle of a Commodity Market 115

Chapter 13 I Don’t Want No Stinkin’ Risk 117

A Clear Plan 119

Avoid Low-Priced Stocks 120

Volatility Over 100%? 121

Don’t Trade When Volatility is Very High 122

Sidestepping Price Shocks 122

Portfolio Drawdown 123

Business Risk 124

Gearing Back Up 125

Chapter 14 Picking the Best Stocks (and Futures Markets)

for Your Portfolio 127

Asking Too Much 127

The Practical Solution 128

Ranking Success 130

Rotation 132

Chapter 15 Matching the Strategy to the Market 133

Noise for Stocks 134

Noise for ETFs 136

Noise for Futures 136

Chapter 16 Constructing a Trend Strategy 139

The Trend 140

Buying and Selling Rules 141

First Tests 141

Costs 143

Expectations 143

Satisfying the First Milestone 144

Profit-Taking 146

Volatility Filter 148

Combining Rules 149

Multiple Entries and Exits 150

More Markets, More Robustness 151

Stabilizing the Risk 152

Do It Yourself 153

Chapter 17 Constructing an Intraday Trading Strategy 155

The Time Frame 156

Outline 157

Deciding on the Strategy 158

Choosing a Strategy 158

Directional or Mean Reverting 159

The Basic Rules 160

The Breakout Rule 161

Profit Taking and Extreme Volatility 162

What About the Trend? 163

Chapter 18 Summary 167

Resources 169

System Development Platforms 169

Blogs 170

Periodicals 171

Perry Kaufman Websites 172

Index 173

A Guide to Creating A Successful Algorithmic

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    A Hardback by Perry J. Kaufman

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of A Guide to Creating A Successful Algorithmic by Perry J. Kaufman

      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 15/03/2016
      ISBN13: 9781119224747, 978-1119224747
      ISBN10: 1119224748

      Description

      Book Synopsis
      Turn insight into profit with guru guidance toward successful algorithmic trading A Guide to Creating a Successful Algorithmic Trading Strategy provides the latest strategies from an industry guru to show you how to build your own system from the ground up.

      Table of Contents

      Acknowledgments xi

      Chapter 1 A Brief Introduction: The Ground Rules 1

      My Objective 2

      The Ground Rules 3

      The Process 3

      Basic Trading Systems 6

      Chapter 2 The Idea 9

      Begin at the Beginning 9

      The Idea Must Match Your Trading Personality 11

      I Need a Fast Payout 12

      Withstanding the Test of Time 13

      Chapter 3 Don’t Make It Complex 15

      A Word about Noise 17

      Integrated Solutions versus Building Blocks 18

      More Rules, Fewer Opportunities, Less Success 19

      Chapter 4 Why Should I Care about “Robust”

      If I’m Trading Only Apple? 21

      Is It Robust? 22

      Another Dimension 25

      But Which Parameter Value Do I Trade? 27

      Multiple Time Frames 28

      Is One Trend Method Better Than Another? 29

      Chapter 5 Less is More 33

      Volatility Cuts Both Ways 34

      Bull Markets Happen When Everyone is in Denial 36

      Chapter 6 If You’re a Trend Follower, Don’t Use Profit-Taking or Stops 39

      The Dynamics of a Trend Strategy 42

      It’s Getting Harder to Find the Trend 42

      The Eurodollar Trend 43

      Where Do You Place Your Stop? 45

      What about Profit-Taking? 46

      Entering on a Pullback 47

      Which is the Best Trend-Following Method? 48

      Chapter 7 Take Your Profit If You’re a Short-Term Trader 51

      What’s Bad for the Trend is Good for the Short-Term Trader 53

      If You Can’t Use Stops for Trend Following, Can You Use Them for Short-Term Trading? 55

      There Are Always Exceptions 56

      Chapter 8 Searching for the Perfect System 59

      Looking at the Results 61

      How Much Data and How Many Trades Are Enough? 62

      So, Which Parameter Value Do I Pick? 63

      Chapter 9 Equal Opportunity Trading 65

      Calculating Position Size 66

      Avoid Low-Priced Stocks 66

      True Volatility-Adjusting Doesn’t Work for a Portfolio of Stocks 67

      Risk in Futures 67

      Target Risk 68

      Calculate the Rate of Return for the Portfolio 69

      Assigning Risk to Your Portfolio 72

      Multiple Strategies Are More Important 73

      Not So Easy for the Institutions 75

      Too Much of a Good Thing Can Be Bad 75

      Chapter 10 Testing—The Fork in the Road 79

      Let the Computer Solve It for You 81

      How Do You Evaluate the Results? 83

      What’s Feedback? 84

      Hidden Danger 86

      Forgotten History 86

      Use True Costs 87

      Use Dirty Data 89

      Back-Adjusted and Split-Adjusted Data 91

      The Different Performance Measures 92

      Interpreting the Ratio 92

      Not Everyone Uses the Information Ratio 93

      Number of Trades 94

      Expectations 94

      Chapter 11 Beating It into Submission 97

      Fixing Losing Periods 97

      Use the Average Results 99

      Squeezing the Life Out of a System 101

      Generalizing the Rules 105

      Chapter 12 More on Futures 107

      Leverage 108

      Conversion Factors for Calculating Returns 109

      Don’t Forget FX 110

      FX Quotes 111

      Real Diversification 113

      The Life Cycle of a Commodity Market 115

      Chapter 13 I Don’t Want No Stinkin’ Risk 117

      A Clear Plan 119

      Avoid Low-Priced Stocks 120

      Volatility Over 100%? 121

      Don’t Trade When Volatility is Very High 122

      Sidestepping Price Shocks 122

      Portfolio Drawdown 123

      Business Risk 124

      Gearing Back Up 125

      Chapter 14 Picking the Best Stocks (and Futures Markets)

      for Your Portfolio 127

      Asking Too Much 127

      The Practical Solution 128

      Ranking Success 130

      Rotation 132

      Chapter 15 Matching the Strategy to the Market 133

      Noise for Stocks 134

      Noise for ETFs 136

      Noise for Futures 136

      Chapter 16 Constructing a Trend Strategy 139

      The Trend 140

      Buying and Selling Rules 141

      First Tests 141

      Costs 143

      Expectations 143

      Satisfying the First Milestone 144

      Profit-Taking 146

      Volatility Filter 148

      Combining Rules 149

      Multiple Entries and Exits 150

      More Markets, More Robustness 151

      Stabilizing the Risk 152

      Do It Yourself 153

      Chapter 17 Constructing an Intraday Trading Strategy 155

      The Time Frame 156

      Outline 157

      Deciding on the Strategy 158

      Choosing a Strategy 158

      Directional or Mean Reverting 159

      The Basic Rules 160

      The Breakout Rule 161

      Profit Taking and Extreme Volatility 162

      What About the Trend? 163

      Chapter 18 Summary 167

      Resources 169

      System Development Platforms 169

      Blogs 170

      Periodicals 171

      Perry Kaufman Websites 172

      Index 173

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