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View All on GitHubAI Summary: The task is to integrate or compare existing TradingView screeners with the provided Python-based high-momentum stock scanner. This involves researching and potentially importing or adapting existing TradingView screening strategies for backtesting and comparison against the current scanner's performance. The goal is to expand the project's capabilities by leveraging pre-existing screening logic and potentially improving its accuracy or efficiency.
Using an 8/21 ema pullback strategy to identify high momentum stocks
AI Summary: Refactor the `enhanced_scanner.py` file, moving its functions into separate, more focused files to improve code organization and readability, mirroring the structure of `enhanced_algo_trader.py`.
Using an 8/21 ema pullback strategy to identify high momentum stocks
AI Summary: Refactor the Python codebase of a high-momentum stock scanner to improve readability and maintainability by moving helper functions into separate files and limiting file lengths to approximately 100 lines of code. This involves identifying helper functions within the existing `enhanced_scanner.py` and `enhanced_trading_algo.py` files, creating new files for these functions, and updating the main files to import and use the functions from their new locations.
Using an 8/21 ema pullback strategy to identify high momentum stocks
AI Summary: Backtest the provided high-momentum stock scanner using historical data for stocks known to have experienced pullbacks to their 8 and 21-day exponential moving averages (EMAs) and subsequently reclaimed those EMAs. This involves identifying suitable historical examples, running the scanner against their historical data, and comparing the results to the actual stock price movements to verify the accuracy and identify potential bugs.
Using an 8/21 ema pullback strategy to identify high momentum stocks
AI Summary: The task requires porting a Python-based stock screening script, which uses technical indicators (EMAs, RSI) and filters for high-momentum stocks, to the TradingView platform. This involves translating the Python code and its logic (including calculations of relative strength, trend analysis, and pullback detection) into Pine Script, TradingView's proprietary scripting language, for backtesting and validation purposes.
Using an 8/21 ema pullback strategy to identify high momentum stocks