{"repo":"alihaskar/signal_analyzer","free":true,"listed":false,"github":"https://github.com/alihaskar/signal_analyzer","clone":"git clone https://github.com/alihaskar/signal_analyzer.git","description":"Trade geometry diagnostic engine for analyzing post-entry behavior of trading signals","language":"Python","stars":15,"topics":["algorithmic-trading","python","quantitative-finance","risk-management","technical-analysis","trading"],"license":"MIT","category":"trading","readme_excerpt":"Trade Geometry Analyzer Diagnostic engine for analyzing post-entry behavior of trading signals --- Quick Install --- Why This Library Exists You've spent weeks developing a trading signal. Your backtest shows a Sharpe of 1.8, healthy win rate, and promising equity curve. You're ready to deploy, but then the critical questions hit: Where do I place my stop-loss? What take-profit makes sense? Should I trail? Do I need room to breathe or does this signal profit quickly? Your backtest optimized the entry, but the exit rules are still a guess. Traditional backtesting tools tell you if your signal has an edge. They don't tell you how that edge manifests in the price path after entry. You end up grid-searching TP/SL parameters, overfitting to your sample, and deploying with exit rules that are either too tight (death by a thousand stops) or too wide (giving back all your winners). The problem isn't your signal—it's that you're flying blind on risk management. Here's what you actually need to know: When you enter a trade, does the profit come immediately or does the position need to drawdown first? What's the typical max adverse excursion before the move plays out? If you set a 1% stop, what percentage of your edge survives? Are there distinct trade archetypes within your signal—some that are fast winners and others that need patience? These aren't backtesting questions. These are geometry questions. This library answers them. You feed in your OHLC data and signal, and it extracts th","default_branch":null,"files":null,"tree":[],"storefront":"/r/alihaskar","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/alihaskar/signal_analyzer/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}