| TradingView |
Pine Script |
Creating custom indicators, backtesting strategies, and alerts. |
Technical analysis and charting. |
Simplify the decision tree logic due to Pine Script's limited complexity. |
| MetaTrader |
MQL4/MQL5 |
Building custom indicators and Expert Advisors (EAs) for algorithmic trading. |
Forex and CFD trading. |
Translate decision tree into conditions for trade signals and automate them using Expert Advisors. |
| NinjaTrader |
NinjaScript (C#) |
Designing custom indicators, strategies, and automated trading systems. |
Futures and options trading. |
Use C#’s object-oriented features to implement decision trees efficiently as class-based logic. |
ThinkOrSwim
|
ThinkScript |
Creating custom studies, indicators, and visual analysis tools. |
Advanced charting and trading. |
Simplify decision tree into intuitive scripts for ThinkScript studies, focusing on branch triggers. |
| QuantConnect |
Python, C# |
Developing trading algorithms, conducting backtests, and deploying strategies. |
Quantitative and algorithmic trading. |
Leverage Python's or C#’s libraries (e.g., sklearn) for implementing machine-learning-based decision trees. |
| cTrader |
cAlgo (C#) |
Writing trading robots and custom indicators. |
Automated trading on cTrader. |
Write decision trees as conditions for bots using C#’s robust frameworks. |
| Amibroker |
AFL (Amibroker Formula Language) |
Developing custom indicators, backtesting, and optimization. |
Advanced analytics and strategy testing. |
Convert decision tree into AFL formulae and focus on optimizing thresholds and variables. |
| Interactive Brokers |
TWS API (Python, Java, C++) |
Customizing trading automation, integrations, and data analysis. |
Professional and API-driven trading. |
Use APIs to integrate decision trees built in Python or Java, adapting logic for execution and data retrieval. |
