<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Trading on Noureddine RAMDI</title><link>https://ramdi.fr/tags/trading/</link><description>Recent content in 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/trading/index.xml" rel="self" type="application/rss+xml"/><item><title>BTC-Trading-Since-2020: A comprehensive public archive of Bitcoin trading data</title><link>https://ramdi.fr/github-stars/btc-trading-since-2020-a-comprehensive-public-archive-of-bitcoin-trading-data/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/btc-trading-since-2020-a-comprehensive-public-archive-of-bitcoin-trading-data/</guid><description>BTC-Trading-Since-2020 offers a rich public archive of Bitcoin trading data from 2020 onward, useful for researchers and traders seeking historical insights.</description></item><item><title>LiveTradeBench: Evaluating LLM-driven trading agents in live markets</title><link>https://ramdi.fr/github-stars/livetradebench-evaluating-llm-driven-trading-agents-in-live-markets/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/livetradebench-evaluating-llm-driven-trading-agents-in-live-markets/</guid><description>LiveTradeBench benchmarks LLM trading agents like GPT and Claude in live US equity and prediction markets with real-time news and sentiment integration.</description></item><item><title>ai-trader: AI-powered config-driven backtesting with natural language interaction</title><link>https://ramdi.fr/github-stars/ai-trader-ai-powered-config-driven-backtesting-with-natural-language-interaction/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-trader-ai-powered-config-driven-backtesting-with-natural-language-interaction/</guid><description>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.</description></item><item><title>Alpaca-py: structured Python SDK for Alpaca trading and market data APIs with runtime validation</title><link>https://ramdi.fr/github-stars/alpaca-py-structured-python-sdk-for-alpaca-trading-and-market-data-apis-with-runtime-validation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/alpaca-py-structured-python-sdk-for-alpaca-trading-and-market-data-apis-with-runtime-validation/</guid><description>Alpaca-py is Alpaca&amp;rsquo;s official Python SDK for trading, market data, and broker APIs. It uses pydantic models and OOP clients to catch errors early and improve DX.</description></item><item><title>Building resilient real-time BTC price feeds for 15-minute binary options trading</title><link>https://ramdi.fr/github-stars/building-resilient-real-time-btc-price-feeds-for-15-minute-binary-options-trading/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-resilient-real-time-btc-price-feeds-for-15-minute-binary-options-trading/</guid><description>Explore how this Node.js tool aggregates multiple BTC price sources with fallback chains and technical analysis for 15-minute binary options trading on Polymarket.</description></item><item><title>TradingAgents: a multi-agent LLM framework simulating real-world trading firm dynamics</title><link>https://ramdi.fr/github-stars/tradingagents-a-multi-agent-llm-framework-simulating-real-world-trading-firm-dynamics/</link><pubDate>Sat, 02 May 2026 07:48:10 +0000</pubDate><guid>https://ramdi.fr/github-stars/tradingagents-a-multi-agent-llm-framework-simulating-real-world-trading-firm-dynamics/</guid><description>TradingAgents uses specialized LLM agents in a structured bull/bear debate to mimic real trading firms. Supports 10+ LLMs, persistent memory, and CLI/Docker usage.</description></item></channel></rss>