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quantitative-finance Tools

4 best quantitative-finance tools and apps, curated and ranked by community upvotes on ProductCool. Updated daily as new quantitative-finance products launch.

AutoHedge logo
AutoHedge
The full-stack platform to build, deploy, and monetize AI agents at scale.
aiblackrockfinancegoldmansachs

Swarms is an end-to-end agent infrastructure platform designed for building production-grade autonomous systems. It provides the frameworks, interfaces, and cloud services needed to create complex multi-agent collaboration systems with advanced communication, memory, and simulation capabilities. It's built for teams and enterprises that need to ship reliable, scalable, and secure AI agent applications.

2026-09-06
57
daily_stock_analysis logo
daily_stock_analysis
LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system wi
a-stockai-agentaigcllm

LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

2026-08-09
94
free-stockdb logo
free-stockdb
A local, high-performance engine for A-share and ETF minute-level data analysis.
a-sharealgorithmic-tradingbacktestingchina-stock-market

Free-stockdb is a local quantitative analysis engine designed for the Chinese A-share market. It solves the problem of slow, expensive, and unreliable access to historical stock data (daily K, minute K, ETF) by providing offline caching, incremental updates, and automatic adjustment for splits/dividends. It's built for quantitative traders, researchers, and developers who need fast, reliable, and private batch data queries, backtesting, and technical indicator calculations.

2026-07-29
76
awesome-systematic-trading logo
awesome-systematic-trading
Peer-reviewed trading strategies, clean data, and a full quant stack in one workbench.
algorithmic-tradingalgotradingalphaarbitrage-bot

It's a systematic trading platform that transforms 5,000+ peer-reviewed academic papers into runnable Python strategies with clean, integrated datasets. It solves the problem of fragmented research, messy data, and complex implementation by providing a single workbench to backtest, modify, and deploy strategies. It's built for quantitative traders, researchers, and students who want to move from theory to live trading with industrial-grade tools and an active community.

2026-07-28
70

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