https://ramdi.fr/tags/backtesting/Recent content in Backtesting on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/a-composable-python-framework-for-crypto-algorithmic-trading-with-functional-strategies/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/a-composable-python-framework-for-crypto-algorithmic-trading-with-functional-strategies/Explore a Python framework for cryptocurrency algorithmic trading that uses composable boolean functions for strategy design, supporting live trading, simulation, and backtesting.https://ramdi.fr/github-stars/algorithmic-trading-with-ai-the-harvard-rbi-framework-for-disciplined-strategy-development/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/algorithmic-trading-with-ai-the-harvard-rbi-framework-for-disciplined-strategy-development/This repo teaches algorithmic trading with a disciplined Research-Backtest-Implement method using Python and AI tools. It stresses avoiding emotional mistakes with systematic workflows.https://ramdi.fr/github-stars/qstrader-a-modular-schedule-driven-python-framework-for-systematic-equity-backtesting/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/qstrader-a-modular-schedule-driven-python-framework-for-systematic-equity-backtesting/QSTrader offers a modular Python backtesting framework for long-short equity strategies using daily OHLC data and calendar-driven rebalancing. Its clean separation of signal, portfolio, and execution components stands out.https://ramdi.fr/github-stars/a-curated-gateway-to-machine-learning-resources-for-quantitative-trading/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/a-curated-gateway-to-machine-learning-resources-for-quantitative-trading/A curated GitHub repo consolidates 200+ quality resources for quantitative and ML-driven algorithmic trading, bridging academic research and practical strategies.https://ramdi.fr/github-stars/ai-trader-ai-powered-config-driven-backtesting-with-natural-language-interaction/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/ai-trader-ai-powered-config-driven-backtesting-with-natural-language-interaction/ai-trader adds natural language AI interaction to algorithmic trading backtesting via an MCP server and YAML configs. Supports US/TW stocks, crypto, forex with caching.https://ramdi.fr/github-stars/algorithmic-trading-with-python-modular-quant-tools-built-on-pandas/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/algorithmic-trading-with-python-modular-quant-tools-built-on-pandas/This repo offers modular Python utilities for quantitative trading research, featuring pure-Pandas indicators and OOP portfolio simulation—usable standalone in quant pipelines.https://ramdi.fr/github-stars/exploring-the-evolution-of-systematic-trading-infrastructure-from-traditional-backtesters-to-ai-native-quant-tools/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/exploring-the-evolution-of-systematic-trading-infrastructure-from-traditional-backtesters-to-ai-native-quant-tools/This curated repo maps the shift in systematic trading from event-driven backtesters to AI-powered strategy discovery, covering multi-asset tools, high-frequency backtesting, and AI agents.https://ramdi.fr/github-stars/finrl-trading-modular-weight-centric-quantitative-trading-with-deployment-consistent-backtesting-and-drl-portfolio-allocation/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/finrl-trading-modular-weight-centric-quantitative-trading-with-deployment-consistent-backtesting-and-drl-portfolio-allocation/FinRL-Trading offers a modular Python framework for quantitative trading focused on a weight-centric architecture unifying backtesting and live execution, with classical and DRL portfolio methods.https://ramdi.fr/github-stars/quantdinger-a-self-hosted-ai-assisted-quant-trading-platform-with-strong-safety-controls/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/quantdinger-a-self-hosted-ai-assisted-quant-trading-platform-with-strong-safety-controls/QuantDinger unifies AI-assisted research, Python strategy development, backtesting, and live trading in a self-hosted platform with scoped AI agent tokens and strict safety defaults.https://ramdi.fr/github-stars/lumibot-unified-python-trading-library-with-ai-agent-runtime-for-reproducible-strategy-testing/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/lumibot-unified-python-trading-library-with-ai-agent-runtime-for-reproducible-strategy-testing/Lumibot unifies backtesting and live trading for stocks, options, crypto, and forex with AI agent runtime using DuckDB, supporting multiple brokers and data sources.https://ramdi.fr/github-stars/quantaalpha-llm-driven-trajectory-based-self-evolution-for-quantitative-alpha-factor-discovery/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/quantaalpha-llm-driven-trajectory-based-self-evolution-for-quantitative-alpha-factor-discovery/QuantaAlpha uses large language models with evolutionary strategies to automate quantitative alpha factor discovery, achieving strong backtest metrics on major indices.