https://ramdi.fr/tags/finance/Recent content in Finance on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/livetradebench-evaluating-llm-driven-trading-agents-in-live-markets/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/livetradebench-evaluating-llm-driven-trading-agents-in-live-markets/LiveTradeBench benchmarks LLM trading agents like GPT and Claude in live US equity and prediction markets with real-time news and sentiment integration.https://ramdi.fr/github-stars/parsing-bank-statements-with-monopoly-core-a-per-bank-parser-approach-in-python/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/parsing-bank-statements-with-monopoly-core-a-per-bank-parser-approach-in-python/Monopoly-core is a Python library and CLI for converting bank statement PDFs to CSV using per-bank parser classes. It supports 20+ banks, OCR, and safety checks.https://ramdi.fr/github-stars/tickrs-a-real-time-terminal-stock-ticker-in-rust-with-tui-rs/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/tickrs-a-real-time-terminal-stock-ticker-in-rust-with-tui-rs/tickrs is a Rust-based terminal app providing real-time stock quotes and charts from Yahoo Finance, featuring line, candlestick, and kagi charts with per-second updates and CLI customization.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/alpaca-py-structured-python-sdk-for-alpaca-trading-and-market-data-apis-with-runtime-validation/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/alpaca-py-structured-python-sdk-for-alpaca-trading-and-market-data-apis-with-runtime-validation/Alpaca-py is Alpaca’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.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/finrl-open-source-framework-for-financial-reinforcement-learning-with-a-train-test-trade-pipeline/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/finrl-open-source-framework-for-financial-reinforcement-learning-with-a-train-test-trade-pipeline/FinRL provides an open-source three-layer architecture for financial reinforcement learning with 5 DRL agents and 14+ data sources. Great for learning DRL in finance.https://ramdi.fr/github-stars/ray-finance-a-local-first-privacy-focused-cli-financial-advisor-with-encrypted-context-and-llm-powered-advice/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/ray-finance-a-local-first-privacy-focused-cli-financial-advisor-with-encrypted-context-and-llm-powered-advice/ray-finance is a TypeScript CLI tool that syncs bank data locally with AES-256 encryption, redacts PII before AI calls, and maintains persistent financial context for personalized LLM advice.