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论坛 金融投资论坛 六区 金融学(理论版) 量化投资
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2017-01-05

Chapter 1: What is a trading system? 3

1.1 An easy example of a trading system 4

1.2 Why you need a trading system 5

1.3 The science of trading systems 7

Chapter 2: Design, test, optimisation and evaluation of a

trading system 9

2.1 Design 9

Getting started 9

The programming task 10

Which timeframe to trade? 11

2.2 Test 12

The importance of the market data 12

The length of your back-testing period 14

Rule complexity and degrees of freedom 15

2.3 The forecasting power of a trading system 19

Optimisation 19

Walk forward analysis 21

Robustness 23

2.4 Evaluation of a trading system 27

What to look for in an indicator 27

Average trade 28

Percentage of profitable trades

Profit factor 30


Drawdown 30


Time averages 31


RINA Index 32


2.5 Conclusion 33



Part II: Trading System Development and Evaluation


of a Real Case 35



Chapter 3: How to develop a trading system step-by-step –


using the example of the British pound/US dollar pair 37



Introduction 37


3.1 The birth of a trading system 38


The free LUXOR system code 39


The entry logic 41


3.2 First evaluation of the trading system 43


Calculation without slippage and commissions 43


Calculation after adding slippage and commissions 47


3.3 Variation of the input parameters: optimisation and


stability diagrams 49


What does stability of a system’s input parameter mean?


A short theoretical excursion 49


Dependency of main system figures on the two moving


averages 51


Result with optimised input values 56


3.4 Inserting an intraday time filter 59


Finding the best entry time 59


Result with added time filter 61


3.5 Determination of appropriate exits – risk management 64


The concept of Maximum Adverse Excursion (MAE) 66


Inserting a risk stop loss 70


Adding a trailing stop 74


Looking for profit targets:

Chapter 4: Two methods for evaluating the system’s


predictive power 89



4.1 Timescale analysis 90


Changing the compression of the price data 90


LUXOR tested on different bar compressions 92


Net profit and maximum drawdown dependent on the


traded bar length 96


Explanation for the time dependency of the system 97


4.2 Monte Carlo analysis 101


The principle of Monte Carlo analysis 101


Exchanging the order of the performed trades 104


Probabilities and confidence levels 105


Performing a Monte Carlo analysis with the LUXOR


trading system 107


Limitations of the Monte Carlo method 108



Chapter 5: The factors around your system

Chapter 6: Periodic re-optimisation and walk forward analysis 147



6.1 Short repetition: “normal”, static optimisation 147


6.2 Anchored vs. rolling walk forward analysis (WFA) 149


6.3 Rolling WFA on the LUXOR system 150


Periodic optimisation of the two main system parameters 150


Out-of-sample test result 153


Conclusion 155


6.4 The meaning of sample size and market structure 155



Chapter 7: Position sizing example, using the LUXOR system
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2017-1-5 07:14:28
谢谢分享
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2018-12-13 23:46:41
感谢楼主分享!
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2019-5-4 22:04:28
感谢分享
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