CoSupport AI
What is TradeSearcher?
TradeSearcher utilizes artificial intelligence to assist traders in navigating the complex world of trading strategies. It provides access to an extensive database of over 100,000 strategies sourced from TradingView, complete with backtest data. This tool aims to significantly reduce the time traders spend researching and evaluating potential strategies by analyzing numerous backtests daily for assets including cryptocurrencies, stocks, and forex.
Beyond strategy discovery, TradeSearcher offers features like a Reverse Strategy Scanner to find the best symbols for a known strategy and automatic detection of repainting strategies. It also incorporates AI-driven code explanations (using GPT-4 for PineScript) and insights into strategy performance under various market conditions, helping traders understand and apply strategies effectively. Visualization tools allow users to preview backtested performance historically without needing to access TradingView directly.
Features
- Extensive Strategy Database: Explore 100K+ TradingView strategies and backtests.
- AI-Powered Search: Find the best trading strategies for specific symbols (crypto, stocks, forex).
- Reverse Strategy Scanner: Discover the best performing symbols for a specific strategy.
- Repainting Strategy Detection: Automatically identifies and excludes strategies prone to repainting.
- Performance Visualization: Interactive charts to view backtested performance up to 10 years.
- AI Code Explanation: Understand PineScript code with GPT-4 powered explanations.
- Strategy Insights: Learn how strategies perform in different market conditions and timeframes.
- Indicator Detection: Analyze strategy components and indicators.
Use Cases
- Discovering profitable trading strategies for specific assets.
- Backtesting and evaluating trading strategy performance.
- Finding suitable assets for a known trading strategy.
- Understanding the logic behind complex TradingView strategies.
- Saving time on manual strategy research and analysis.
- Identifying and avoiding repainting strategies.
- Improving technical analysis with data-driven insights.
- Building or refining custom trading bots and strategies.
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