StockSharp
StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
FinanceReview before use
10.1KGitHub
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Quant Developers Resources
cybergeekgyan
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds
FinanceReview before use
3.3KGitHub
51.6KGitHub
US Stock Analysis
tradermonty
Research a US equity across fundamentals, valuation, technical context, peers, and current market data.
2.6KGitHub
Market News Analyst
tradermonty
Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.
2.6KGitHub
Market Environment Analysis
tradermonty
Create a global market conditions report spanning equities, rates, FX, commodities, risk appetite, and sector rotation.
2.6KGitHub
TradingAgents
TauricResearch
TradingAgents: Multi-Agents LLM Financial Trading Framework
FinanceReview before use
88.4KGitHub
Vectorbt
polakowo
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
FinanceReview before use
7.9KGitHub
Portfolio Analytics
agiprolabs
Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.
267GitHub
Lean
QuantConnect
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
FinanceReview before use
20.2KGitHub
Earnings Calendar
tradermonty
Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.
2.6KGitHub
AlphaEar Stock Data
RKiding
Look up A-share, Hong Kong, and US stock tickers and retrieve historical OHLCV price data for research.
2.8KGitHub
8KGitHub
Superalgos
Superalgos
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging…
FinanceReview before use
5.6KGitHub
Machine Learning For Trading
stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
FinanceReview before use
19.3KGitHub
Portfolio Monitoring
anthropics
Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.
34.2KGitHub
External platform skills
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