StrategyQuant

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Contents

Introduction

Introduction – What is StrategyQuant
What’s new in StrategyQuant X?
How does StrategyQuant work?
System requirements
Installation
Backtesting engines – MetaTrader 4,MetaTrader 5, Tradestation
Multiple exits generation (scale out, ATM)
Update of folder structure from Build 131

Quick start

Program layout
Builder layout
Databanks and files
Different build modes
Strategy style
Cross checks – automated strategy robustness tests
Fit strategy to existing portfolio
Recommended workflows for building strategies
Custom analysis

Program screens

Indicators calibration (new in B131)
Builder
Databanks
Progress – project logs, performance stats and charts
Full settings
Settings – What to build
Settings – Parts to improve
Settings – Genetic options
Settings – Data
Settings – Trading options
Settings – Building blocks
Settings – ATM
Settings – Money management
Settings – Cross checks
Settings – Ranking
Settings – Notes
Results – Overview
Results – Strategy analysis metrics
Results – List of trades
Results – Equity chart
Results – Trade analysis
Results – Strategy correlation
Results – Trades on chart
Results – Strategy config
Results – Source code

Cross checks - robustness tests

Use Cross checks build in Builder and Retester
Retest with higher precision
Monte Carlo trades manipulation
Retest on additional markets
Monte Carlo retest methods
What If simulations
Optimization Profile and System Parameter Permutation in StrategyQuant

Optimization

Walk-Forward Optimization
Walk-Forward Matrix
Description of advanced Walk-Forward values that can be used in filters / databank
Simple Optimization
Recommended optimization parameters

Strategy templates, custom blocks and indicators

Strategy templates
Custom blocks
Random groups
External indicators
Configuring parameter ranges for standard and custom blocks

Custom projects and tasks

Introduction to custom projects
Main concepts
Build strategies task
Retest strategies task
Automatic retest task
Automatic retest – Data setting
Optimize strategies task
Stop & Start task
Filter strategies task
Go To Task
Notification task
Create portfolio task
Clear databanks task
Load from files task
Save to files task
Call external script task
Delete a file
Wait for user/file
Update data task
Log databank contents

Reliable backtesting & trading

Reliable backtesting in MetaTrader
Reliable backtesting in Tradestation / MultiCharts
The strategy tried to place stop/limit order at incorrect price
Reliable backtesting in JForex
Not supported for engine
Comparing and using the same backtest settings
Best practices for multi-TF strategies backtesting and trading

How to...

Export strategy from StrategyQuant and test or trade it in MetaTrader
How to install Strategy Quant indicators to Metatrader 4/5
How to run the Metatrader in portable mode and what it is good for?
How to load and save build config
Manually configure internal web server port
Merge / Split Portfolio
How to downgrade
Use OppositeBlocks configuration to control the negation
Multiple orders to the same direction
Troubleshooting
Documentation > StrategyQuant

Log databank contents

Author: Mark Fric

May 11th, 2020

Rating:
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a special task that will save the stats you want to a project running log.

You can use it to log for example the average Net profit of all the strategies in the databank, or a number of strategies with Net profit bigger than zero.

Log databank stats custom project task

< Previous: Update data taskNext: Reliable backtesting in MetaTrader >

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