u/Bright_Analysis

10 free GitHub repos that anyone with $100 and a laptop can use to trade like a hedge fund in 2026.
▲ 3 r/indiaStockMarket+2 crossposts

10 free GitHub repos that anyone with $100 and a laptop can use to trade like a hedge fund in 2026.

10 free GitHub repos that anyone with $100 and a laptop can use to trade like a hedge fund in 2026.

These are the same tools 300+ hedge funds quietly run on. Bookmark this. The list will save you years.

  1. OpenBB

A free Bloomberg Terminal. Stocks, options, futures, crypto, forex, all in one platform. The Bloomberg Terminal costs $25,000 a year. This costs $0.

Repo → https://github.com/OpenBB-finance/OpenBB

  1. Lean (QuantConnect)

The algorithmic trading engine 300+ real hedge funds use right now. Backtest on 25 years of data, deploy live to Interactive Brokers or Alpaca.

Repo → https://github.com/QuantConnect/Lean

  1. qlib (Microsoft)

Microsoft's full quant investment platform. The most serious open-source quant infrastructure ever shipped.

Repo → https://github.com/microsoft/qlib

  1. Backtrader

The Python backtesting framework every quant learns first. Used in graduate finance programs around the world.

Repo → https://github.com/mementum/backtrader

  1. TradingAgents

A multi-agent LLM trading framework from UCLA and MIT. Autonomous AI agents acting as analyst, technician, and risk manager.

Repo → https://github.com/TauricResearch/TradingAgents

  1. Riskfolio-Lib

The portfolio optimization library quants use to allocate capital. Mean-variance, Black-Litterman, CVaR, all in one place.

Repo → https://github.com/dcajasn/Riskfolio-Lib

  1. yfinance

The free market data API every Python finance course starts with. Real-time and historical data on 100,000+ tickers.

Repo → https://github.com/ranaroussi/yfinance

  1. FinanceToolkit

150+ financial ratios, indicators, and valuation models in one library.

Repo → https://github.com/JerBouma/FinanceToolkit

  1. vectorbt

The fastest backtesting engine in Python. Test thousands of strategies in seconds.

Repo → https://github.com/polakowo/vectorbt

  1. TradingView Lightweight Charts

The charting library powering real fintech apps in production. The reason your trading dashboard looks professional.

Repo → https://github.com/tradingview/lightweight-charts

Here's the wildest part:

A Bloomberg Terminal costs $25,000 a year. A junior hedge fund analyst costs $250,000. Goldman Sachs research costs millions.

These 10 repos give a kid with $100 and a laptop access to most of what Wall Street pays for.

A trading desk in 2010 cost $50,000 to set up. In 2026, the entire stack is free.

The barrier between retail and Wall Street has never been lower.

Save this before you forget.

100% free. 100% open source.

u/Bright_Analysis — 17 hours ago
▲ 2 r/QuantLab+1 crossposts

Tired of CSV imports, delayed feeds, and patchwork solutions?
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u/Bright_Analysis — 17 days ago

Hey everyone,

Sharing a quick view on today’s market—would love to hear how others are reading this.

Market snapshot:

  • Nifty closed around 24,350–24,370 zone
  • Sensex mostly flat
  • Price action felt range-bound with mild bullish bias

What stood out today:

  • Financials (especially private banks) supported the index
  • Broader markets (mid/small caps) showed some weakness
  • Market recovered intraday dips but lacked strong follow-through

Key drivers:

  • Global uncertainty (US–Iran tensions, crude volatility) still hanging over markets
  • Oil near ~$90–95 = inflation concern for India
  • FIIs showing mixed behavior, but some buying support seen

Technical view (short-term):

  • Resistance: 24,300 – 24,700 zone
  • Support: ~24,000 (psychological + recent base)
  • Market seems to be trying to shift bullish, but still not fully convincing

My take:

  • Feels like a “buy on dips” market, not breakout chasing
  • Strength is there, but conviction is still missing
  • Likely outcome: range + slow grind up unless global triggers hit

What I’m watching:

  • Bank Nifty strength continuation
  • Crude oil movement (huge impact right now)
  • Whether Nifty can cleanly break and sustain above 24,500

Curious to know:

  • Are you guys treating this as breakout market or still range trading?
  • Anyone positioning aggressively or staying light?
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u/Bright_Analysis — 23 days ago