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@mahirfareed_07: #fyp
๐ด๐๐๐๐ ๐ญ๐๐๐๐๐
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Region: PK
Tuesday 13 October 2026 10:06:47 GMT
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Mystical girl :
yup exactly ๐ฏ
2026-10-13 17:27:25
0
Dark_Queen ๐ฅ :
Absolutely ๐ฏ๐ฅน
2026-10-13 18:00:21
0
๐๐๐๐ซ๐คแญ๐๐ง๐ ๐๐ฅโคออออ๐ท :
Awwww editing totorial mil skta h Kai plz ..
2026-10-13 17:04:53
0
PRINCESS.... :
Absolutely rightโบ๏ธ
2026-10-13 10:10:05
2
Mirha :
true๐ค๐
2026-10-13 11:24:53
2
๐ปit's mano๐ป :
bilkul
2026-10-13 10:35:59
2
โฅ๐แดสแด๐ธ :
right
2026-10-13 10:14:28
1
Asma Asma :
ge bilkul
2026-10-13 14:58:43
0
TASSU๐ :
2026-10-13 14:43:17
0
Morchal :
Absolutely
2026-10-13 18:30:33
0
Masooma ๐๐๐ :
right
2026-10-14 01:54:52
0
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25โ #mysterious #trend #winter25 #FaZe
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๐ป๐ 6 GITHUB REPOS THAT LET YOU RUN A HEDGE FUND FROM YOUR LAPTOP You donโt need a Wall Street office to start learning quantitative trading. Your laptop can become a small research lab for: ๐ Market data ๐ค ML strategies ๐ Backtesting ๐ง AI agents ๐ก๏ธ Risk management ๐ฐ Portfolio management Here are 6 GitHub repos worth exploring: 1๏ธโฃ AI HEDGE FUND ๐ค A multi-agent AI hedge fund where different agents handle areas such as fundamentals, technicals, sentiment, valuation, risk, and portfolio management. โญ 59K+ stars ๐ป Can run locally with Python and can use Ollama for local LLMs. GitHub: virattt/ai-hedge-fund โธป 2๏ธโฃ NAUTILUS TRADER โก A serious algorithmic trading platform built for: โ Research โ Backtesting โ Portfolio strategies โ Live trading โ Multiple asset classes Its architecture is designed to keep research/backtesting and live strategy implementations closely aligned. GitHub: NautilusTrader โธป 3๏ธโฃ LIUALGOTRADER ๐งฎ A Python-based algorithmic trading framework with: โ Backtesting โ ML support โ Strategy optimization โ Market data โ Automated trading The project explicitly describes running from a laptop as well as scaling to hosted Linux infrastructure. GitHub: LiuAlgoTrader โธป 4๏ธโฃ QUANT HEDGE FUND SYSTEM ๐ An end-to-end Python project covering: โ Market data collection โ 25+ years of data โ Backtesting โ MLflow experiment tracking โ Automated execution โ Interactive Brokers integration Great repository to study if youโre interested in quant + MLOps + trading systems. GitHub: QuantHedgeFund โธป 5๏ธโฃ AI-NATIVE HEDGE FUND ๐ง A local AI-native trading prototype combining: โ Multiple agents โ Strategy ensembles โ Risk management โ Backtesting โ Local LLMs โ Paper trading โ Audit logs It uses Ollama + market data tools + paper trading, making it interesting for people experimenting on their own machine. GitHub: ai-native-hedge-fund โธป 6๏ธโฃ AUTONOMOUS TRADING SYSTEM ๐ A multi-strategy algorithmic trading system featuring: โ 6 quantitative strategies โ Backtesting โ Real-time dashboard โ Portfolio management โ Risk controls โ Paper trading The repository provides a local setup using Python and Node.js. GitHub: autonomous-trading-system โธป ๐ฅ WHAT YOU CAN LEARN FROM THESE REPOS Donโt just clone and run them. Study the architecture: Market Data โ Feature Engineering โ Strategy / ML Model โ Signal Generation โ Portfolio Construction โ Risk Management โ Backtesting โ Paper Trading โ Monitoring Thatโs where the real learning happens. ๐ฏ IF YOUโRE A DATA SCIENCE / AI STUDENT Start with: ๐ฅ AI Hedge Fund ๐ฅ AI-Native Hedge Fund ๐ฅ Quant Hedge Fund System Then build your own simplified version. Laptop โ Data โ ML โ Backtest โ Risk โ Dashboard โ ๏ธ These repositories are for learning/research and paper trading. Backtested performance is not a guarantee of future returns, and donโt connect a strategy to real money until you understand the risks. #GitHub #HedgeFund #QuantFinance #AlgorithmicTrading #creatorsearchinsights
kece nih gas pake๐ค๐ป #sbcaper๐ฏ #jjsidrap #presetalightmotion #fyppppppppppppppppppppppp #aponamo
๐ซโค๏ธ๐ท. #fypppppppppppppppp
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