How to start extending StrategyQuant X with indicators,snippets, plugins and custom conditions?

Roadmap to the extending StrategyQuant using custom coding in Java and AlgoWizard where you can find all important information at one place. 

First part is AlgoWizard FULL course on our YouTube:

EP1 – Trading Logic

EP2 – Tabs 

EP3 – Variables

EP4 – Conditions and Indicators

EP5 – Create Bulish Engulfing 

EP6 – Create multi-timeframe strategies

EP7 – Create conditions and strategies based on time 

EP8 – Control Your Strategy Using These Conditions

EP9 – Do You Know the Differences Between Stop, Limit, and Market Orders? 

EP10 – Take Profit and Stop Loss

EP11 – Money Management 

EP12 – Trading Options

Start extending StrategyQuant using java:

How to Launch Code editor?

How to start with custom programming.

Introduction

• Public API Javadoc
• Working with ResultsGroup
• Adding indicators and signals
• Adding databank column / filter
• Logging and DebugConsole
• Using custom JAR libraries
• Import / Export custom indicators and other snippets

Indicators / Signals step-by-step

Databanks columns / Filters step-by-step

• SQN InSample / OutOfSample ratio

Charts step-by-step

• Chart – Accepted strategies per hour

Custom analysis

• Example – per strategy custom analysis
• Example – per databank custom analysis

Trade analysis

• Trade Analysis – Avg Edge Ratio by hour

What If

• Equity moving average simulation

Trades Columns

• Example – Trade Edge Ratio

Commissions

• Minimum Commission Example

Position Sizing

• ATR Volatility Simple Sizing

Coding sessions examples

• Running optimizations programmatically – update
• Recognizing results in WF Matrix around custom field
• Changing strategy parameters programmatically
• Viewing and changing strategy parameters – version 2
• Save databank results to DB
• Running strategy backtests programmatically
• Backtesting strategy programmatically including robustness tests
• Loading history data in snippets
• Merging multiple results into portfolio
• Changing task config programmatically
• Using backtest settings in strategy metrics
• Selecting building blocks programmatically

SQ Python

• Calling Python from SQ (Java) – Introduction

Plugins

• Filter by correlation – plugin example
• Example plugin – a complete custom project task

You can get some inspiration from our existing code base, with many examples of data columns, indicators, plugins https://strategyquant.com/codebase

AlgoWizard (1)

Custom Analysis (4)

Order (4)

QuantAnalyzer (1)

Strategy Control (1)

Indicators / Signals (49)

What If scenarios (SQ) (8)

Columns (47)

• Databank / Filter (39)
• Trade list (2)

Monte Carlo (1)

• Retest methods (1)
• Manipulation methods (0)

Charts (4)

• Engine charts (1)
• Trade analysis charts (3)

Money Management (1)

Commissions methods (1)

Trading options (1)

Entry / Exit blocks (0)

Here is video to our coding session for TDI indicator on our YouTube Channel:

StrategyQuant custom programming – TDI Indicator implementation tutorial

Furthermore, here is our Discord where you can find answers to some questions, or you can ask some questions. 

We do our best to reply as soon as possible, however please note that it can take some time to answer your specific questions.