A tool for backtesting strategies on TradingView with extensive parameter support and optimization features.
The client needed a tool that could test grid strategies on real market data with many parameters simultaneously. The main goal was to quickly find optimal strategy settings, test them on thousands of assets, and get a full performance overview before launching into live trading.
I built a backtester on TradingView using Pine Script to achieve maximum speed and seamless integration. It supports grid strategy testing with many entry parameters such as RSI, Lorenz Classification, MACD, and more.
I also added advanced optimization algorithms that automatically select the best take-profit and stop-loss configurations.
The final tool allows traders to efficiently test strategies across more than 5000 assets, identify optimal parameters, and analyze results in detail. The backtester is actively used for preparing strategies for live trading, optimizing configurations, and validating ideas on large datasets — saving time, reducing errors, and improving trading efficiency.
к Interface screenshots.
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