@mahirfareed_07: #fyp

๐‘ด๐’‚๐’‰๐’Š๐’“ ๐‘ญ๐’‚๐’“๐’†๐’†๐’…
๐‘ด๐’‚๐’‰๐’Š๐’“ ๐‘ญ๐’‚๐’“๐’†๐’†๐’…
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Tuesday 13 October 2026 10:06:47 GMT
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mysticalgirl912
Mystical girl :
yup exactly ๐Ÿ’ฏ
2026-10-13 17:27:25
0
dark_queen6872
Dark_Queen ๐Ÿฅ€ :
Absolutely ๐Ÿ’ฏ๐Ÿฅน
2026-10-13 18:00:21
0
selfish_girl380
๐ŸŒš๐ƒ๐š๐ซ๐คแญ„๐€๐ง๐ ๐ž๐ฅโคอŸอŸอžอž๐Ÿท :
Awwww editing totorial mil skta h Kai plz ..
2026-10-13 17:04:53
0
user062491288
PRINCESS.... :
Absolutely rightโ˜บ๏ธ
2026-10-13 10:10:05
2
wb_ki_fan
Mirha :
true๐ŸคŒ๐Ÿ™‚
2026-10-13 11:24:53
2
sunlightamo
๐Ÿปit's mano๐Ÿป :
bilkul
2026-10-13 10:35:59
2
malaa805
โฅ๐Œแด€สŸแด€๐ŸŒธ :
right
2026-10-13 10:14:28
1
asma.asma5377
Asma Asma :
ge bilkul
2026-10-13 14:58:43
0
zahra_editx3
TASSU๐Ÿ•Š :
2026-10-13 14:43:17
0
morchal184
Morchal :
Absolutely
2026-10-13 18:30:33
0
masoomaali9973
Masooma ๐ŸŽ€๐ŸŽ€๐ŸŽ€ :
right
2026-10-14 01:54:52
0
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๐Ÿ’ป๐Ÿ“ˆ 6 GITHUB REPOS THAT LET YOU RUN A HEDGE FUND FROM YOUR LAPTOP You donโ€™t need a Wall Street office to start learning quantitative trading. Your laptop can become a small research lab for: ๐Ÿ“Š Market data ๐Ÿค– ML strategies ๐Ÿ“ˆ Backtesting ๐Ÿง  AI agents ๐Ÿ›ก๏ธ Risk management ๐Ÿ’ฐ Portfolio management Here are 6 GitHub repos worth exploring: 1๏ธโƒฃ AI HEDGE FUND ๐Ÿค– A multi-agent AI hedge fund where different agents handle areas such as fundamentals, technicals, sentiment, valuation, risk, and portfolio management. โญ 59K+ stars ๐Ÿ’ป Can run locally with Python and can use Ollama for local LLMs. GitHub: virattt/ai-hedge-fund โธป 2๏ธโƒฃ NAUTILUS TRADER โšก 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๏ธโƒฃ LIUALGOTRADER ๐Ÿงฎ 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๏ธโƒฃ QUANT HEDGE FUND SYSTEM ๐Ÿ“Š 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 youโ€™re interested in quant + MLOps + trading systems. GitHub: QuantHedgeFund โธป 5๏ธโƒฃ AI-NATIVE HEDGE FUND ๐Ÿง  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๏ธโƒฃ AUTONOMOUS TRADING SYSTEM ๐Ÿš€ 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 ๐Ÿ”ฅ WHAT YOU CAN LEARN FROM THESE REPOS Donโ€™t 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 Thatโ€™s where the real learning happens. ๐ŸŽฏ IF YOUโ€™RE A DATA SCIENCE / AI STUDENT Start with: ๐Ÿฅ‡ AI Hedge Fund ๐Ÿฅˆ AI-Native Hedge Fund ๐Ÿฅ‰ Quant Hedge Fund System Then build your own simplified version. Laptop โ†’ Data โ†’ ML โ†’ Backtest โ†’ Risk โ†’ Dashboard โš ๏ธ These repositories are for learning/research and paper trading. Backtested performance is not a guarantee of future returns, and donโ€™t connect a strategy to real money until you understand the risks. #GitHub #HedgeFund #QuantFinance #AlgorithmicTrading                #creatorsearchinsights
๐Ÿ’ป๐Ÿ“ˆ 6 GITHUB REPOS THAT LET YOU RUN A HEDGE FUND FROM YOUR LAPTOP You donโ€™t need a Wall Street office to start learning quantitative trading. Your laptop can become a small research lab for: ๐Ÿ“Š Market data ๐Ÿค– ML strategies ๐Ÿ“ˆ Backtesting ๐Ÿง  AI agents ๐Ÿ›ก๏ธ Risk management ๐Ÿ’ฐ Portfolio management Here are 6 GitHub repos worth exploring: 1๏ธโƒฃ AI HEDGE FUND ๐Ÿค– A multi-agent AI hedge fund where different agents handle areas such as fundamentals, technicals, sentiment, valuation, risk, and portfolio management. โญ 59K+ stars ๐Ÿ’ป Can run locally with Python and can use Ollama for local LLMs. GitHub: virattt/ai-hedge-fund โธป 2๏ธโƒฃ NAUTILUS TRADER โšก 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๏ธโƒฃ LIUALGOTRADER ๐Ÿงฎ 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๏ธโƒฃ QUANT HEDGE FUND SYSTEM ๐Ÿ“Š 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 youโ€™re interested in quant + MLOps + trading systems. GitHub: QuantHedgeFund โธป 5๏ธโƒฃ AI-NATIVE HEDGE FUND ๐Ÿง  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๏ธโƒฃ AUTONOMOUS TRADING SYSTEM ๐Ÿš€ 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 ๐Ÿ”ฅ WHAT YOU CAN LEARN FROM THESE REPOS Donโ€™t 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 Thatโ€™s where the real learning happens. ๐ŸŽฏ IF YOUโ€™RE A DATA SCIENCE / AI STUDENT Start with: ๐Ÿฅ‡ AI Hedge Fund ๐Ÿฅˆ AI-Native Hedge Fund ๐Ÿฅ‰ Quant Hedge Fund System Then build your own simplified version. Laptop โ†’ Data โ†’ ML โ†’ Backtest โ†’ Risk โ†’ Dashboard โš ๏ธ These repositories are for learning/research and paper trading. Backtested performance is not a guarantee of future returns, and donโ€™t connect a strategy to real money until you understand the risks. #GitHub #HedgeFund #QuantFinance #AlgorithmicTrading #creatorsearchinsights

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