<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Algorithmic-Trading on Noureddine RAMDI</title><link>https://ramdi.fr/tags/algorithmic-trading/</link><description>Recent content in Algorithmic-Trading on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/algorithmic-trading/index.xml" rel="self" type="application/rss+xml"/><item><title>A composable Python framework for crypto algorithmic trading with functional strategies</title><link>https://ramdi.fr/github-stars/a-composable-python-framework-for-crypto-algorithmic-trading-with-functional-strategies/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-composable-python-framework-for-crypto-algorithmic-trading-with-functional-strategies/</guid><description>Explore a Python framework for cryptocurrency algorithmic trading that uses composable boolean functions for strategy design, supporting live trading, simulation, and backtesting.</description></item><item><title>Algorithmic trading with AI: the Harvard RBI framework for disciplined strategy development</title><link>https://ramdi.fr/github-stars/algorithmic-trading-with-ai-the-harvard-rbi-framework-for-disciplined-strategy-development/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/algorithmic-trading-with-ai-the-harvard-rbi-framework-for-disciplined-strategy-development/</guid><description>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.</description></item><item><title>Inside Polymarket's BTC 15-minute trading bot: multi-signal fusion with self-learning weights</title><link>https://ramdi.fr/github-stars/inside-polymarket-s-btc-15-minute-trading-bot-multi-signal-fusion-with-self-learning-weights/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-polymarket-s-btc-15-minute-trading-bot-multi-signal-fusion-with-self-learning-weights/</guid><description>Explore a Python trading bot for Polymarket&amp;rsquo;s 15-minute BTC markets. It uses a 7-phase modular pipeline, fuses three signals, and features a self-learning weight adjustment engine.</description></item><item><title>OpenAlgo: unified multi-broker algo trading platform with Python and no-code flows</title><link>https://ramdi.fr/github-stars/openalgo-unified-multi-broker-algo-trading-platform-with-python-and-no-code-flows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openalgo-unified-multi-broker-algo-trading-platform-with-python-and-no-code-flows/</guid><description>OpenAlgo offers a self-hosted algo trading platform with unified API for 30+ Indian brokers, Python strategy hosting, no-code flow builder, and options analytics — all sharing live sessions.</description></item><item><title>QSTrader: a modular, schedule-driven Python framework for systematic equity backtesting</title><link>https://ramdi.fr/github-stars/qstrader-a-modular-schedule-driven-python-framework-for-systematic-equity-backtesting/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/qstrader-a-modular-schedule-driven-python-framework-for-systematic-equity-backtesting/</guid><description>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.</description></item><item><title>A curated gateway to machine learning resources for quantitative trading</title><link>https://ramdi.fr/github-stars/a-curated-gateway-to-machine-learning-resources-for-quantitative-trading/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-curated-gateway-to-machine-learning-resources-for-quantitative-trading/</guid><description>A curated GitHub repo consolidates 200+ quality resources for quantitative and ML-driven algorithmic trading, bridging academic research and practical strategies.</description></item><item><title>Algorithmic trading with Python: modular quant tools built on pandas</title><link>https://ramdi.fr/github-stars/algorithmic-trading-with-python-modular-quant-tools-built-on-pandas/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/algorithmic-trading-with-python-modular-quant-tools-built-on-pandas/</guid><description>This repo offers modular Python utilities for quantitative trading research, featuring pure-Pandas indicators and OOP portfolio simulation—usable standalone in quant pipelines.</description></item><item><title>Exploring the evolution of systematic trading infrastructure: from traditional backtesters to AI-native quant tools</title><link>https://ramdi.fr/github-stars/exploring-the-evolution-of-systematic-trading-infrastructure-from-traditional-backtesters-to-ai-native-quant-tools/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-the-evolution-of-systematic-trading-infrastructure-from-traditional-backtesters-to-ai-native-quant-tools/</guid><description>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.</description></item><item><title>TradeMaster: A rigorous reinforcement learning platform for quantitative trading research</title><link>https://ramdi.fr/github-stars/trademaster-a-rigorous-reinforcement-learning-platform-for-quantitative-trading-research/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/trademaster-a-rigorous-reinforcement-learning-platform-for-quantitative-trading-research/</guid><description>TradeMaster offers a full pipeline for RL-based quantitative trading with 13+ algorithms and a rigorous 6-axis, 17-measure evaluation framework across multiple asset classes and trading tasks.</description></item><item><title>Lumibot: Unified Python trading library with AI agent runtime for reproducible strategy testing</title><link>https://ramdi.fr/github-stars/lumibot-unified-python-trading-library-with-ai-agent-runtime-for-reproducible-strategy-testing/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/lumibot-unified-python-trading-library-with-ai-agent-runtime-for-reproducible-strategy-testing/</guid><description>Lumibot unifies backtesting and live trading for stocks, options, crypto, and forex with AI agent runtime using DuckDB, supporting multiple brokers and data sources.</description></item></channel></rss>