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@a1yymms: папина🤍

aiym.
aiym.
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Region: KZ
Friday 13 March 2026 17:40:58 GMT
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Comments

alzhanovaa_a
alzhanovaa_a :
Папа деген персонаж өмірде барма не?
2026-04-09 18:29:00
250
_08di__
𝓓𝓪𝓻𝓲🤍 :
2026-04-08 13:37:21
1118
bekbo1atovnaa_
𝓟𝓮𝓻𝓲𝔃𝓪𝓽💗 :
папина дочка ози😘
2026-03-13 17:48:14
20
sariceva___626
sariceva___626 :
Дай бог здоровья вашему папе, это большая редкость и огромное счастье❤️
2026-04-13 18:51:23
19
user3518637908255
user3518637908255 :
Она богатая. Я не про деньги
2026-04-10 05:37:39
202
_jen.ly7
_jen.ly :
у меня наоборот, хотя папа есть, всё делает мама
2026-04-10 15:12:43
38
aziimoon
Просто 𝑨𝒛𝒊𝒊. :
Как больно... Он меня даже не обнимает🥹
2026-04-09 18:03:07
40
liliyaesayan
LiliyaEsayan :
уже не сделает💔
2026-04-09 21:33:40
11
privateakaunttttt
llllllllllll :
2026-04-08 11:37:17
36
nrlnv_a
адема :
ошырменшы пж жазда истим буйырса🙏🏻🙏🏻🙏🏻
2026-04-08 14:47:56
38
aknvvss
aknvvss :
Мечта🫠🥲🥹
2026-04-08 16:24:10
6
usermilikalake
mari💨 :
папа деген кім?
2026-07-26 19:23:26
1
mil1twix
милтвикс🪄 :
люблю пап сильно
2026-07-24 15:35:46
1
kazbekkyzy14_
kazbekkyzy14_ :
2026-04-09 18:12:07
2
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رئيس مجلس القيادة اليمني رشاد العليمي يقول إن الحوثيين اختاروا التصعيد وعليهم تحمل مسؤولية تداعياته الإنسانية والأمنية بالبلاد #الأخبار
رئيس مجلس القيادة اليمني رشاد العليمي يقول إن الحوثيين اختاروا التصعيد وعليهم تحمل مسؤولية تداعياته الإنسانية والأمنية بالبلاد #الأخبار
💻📈 6 GITHUB REPOS THAT LET YOU RUN A HEDGE FUND FROM YOUR LAPTOP You don’t need a Wall Street office to start learning quantitative trading. Your laptop can become a small research lab for: 📊 Market data 🤖 ML strategies 📈 Backtesting 🧠 AI agents 🛡️ Risk management 💰 Portfolio management Here are 6 GitHub repos worth exploring: 1️⃣ AI HEDGE FUND 🤖 A multi-agent AI hedge fund where different agents handle areas such as fundamentals, technicals, sentiment, valuation, risk, and portfolio management. ⭐ 59K+ stars 💻 Can run locally with Python and can use Ollama for local LLMs. GitHub: virattt/ai-hedge-fund ⸻ 2️⃣ NAUTILUS TRADER ⚡ A serious algorithmic trading platform built for: → Research → Backtesting → Portfolio strategies → Live trading → Multiple asset classes Its architecture is designed to keep research/backtesting and live strategy implementations closely aligned. GitHub: NautilusTrader ⸻ 3️⃣ LIUALGOTRADER 🧮 A Python-based algorithmic trading framework with: → Backtesting → ML support → Strategy optimization → Market data → Automated trading The project explicitly describes running from a laptop as well as scaling to hosted Linux infrastructure. GitHub: LiuAlgoTrader ⸻ 4️⃣ QUANT HEDGE FUND SYSTEM 📊 An end-to-end Python project covering: → Market data collection → 25+ years of data → Backtesting → MLflow experiment tracking → Automated execution → Interactive Brokers integration Great repository to study if you’re interested in quant + MLOps + trading systems. GitHub: QuantHedgeFund ⸻ 5️⃣ AI-NATIVE HEDGE FUND 🧠 A local AI-native trading prototype combining: → Multiple agents → Strategy ensembles → Risk management → Backtesting → Local LLMs → Paper trading → 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 ⸻ 6️⃣ AUTONOMOUS TRADING SYSTEM 🚀 A multi-strategy algorithmic trading system featuring: → 6 quantitative strategies → Backtesting → Real-time dashboard → Portfolio management → Risk controls → Paper trading The repository provides a local setup using Python and Node.js. GitHub: autonomous-trading-system ⸻ 🔥 WHAT YOU CAN LEARN FROM THESE REPOS Don’t just clone and run them. Study the architecture: Market Data ↓ Feature Engineering ↓ Strategy / ML Model ↓ Signal Generation ↓ Portfolio Construction ↓ Risk Management ↓ Backtesting ↓ Paper Trading ↓ Monitoring That’s where the real learning happens. 🎯 IF YOU’RE A DATA SCIENCE / AI STUDENT Start with: 🥇 AI Hedge Fund 🥈 AI-Native Hedge Fund 🥉 Quant Hedge Fund System Then build your own simplified version. Laptop → Data → ML → Backtest → Risk → Dashboard ⚠️ These repositories are for learning/research and paper trading. Backtested performance is not a guarantee of future returns, and don’t connect a strategy to real money until you understand the risks. #GitHub #HedgeFund #QuantFinance #AlgorithmicTrading #creatorsearchinsights
💻📈 6 GITHUB REPOS THAT LET YOU RUN A HEDGE FUND FROM YOUR LAPTOP You don’t need a Wall Street office to start learning quantitative trading. Your laptop can become a small research lab for: 📊 Market data 🤖 ML strategies 📈 Backtesting 🧠 AI agents 🛡️ Risk management 💰 Portfolio management Here are 6 GitHub repos worth exploring: 1️⃣ AI HEDGE FUND 🤖 A multi-agent AI hedge fund where different agents handle areas such as fundamentals, technicals, sentiment, valuation, risk, and portfolio management. ⭐ 59K+ stars 💻 Can run locally with Python and can use Ollama for local LLMs. GitHub: virattt/ai-hedge-fund ⸻ 2️⃣ NAUTILUS TRADER ⚡ A serious algorithmic trading platform built for: → Research → Backtesting → Portfolio strategies → Live trading → Multiple asset classes Its architecture is designed to keep research/backtesting and live strategy implementations closely aligned. GitHub: NautilusTrader ⸻ 3️⃣ LIUALGOTRADER 🧮 A Python-based algorithmic trading framework with: → Backtesting → ML support → Strategy optimization → Market data → Automated trading The project explicitly describes running from a laptop as well as scaling to hosted Linux infrastructure. GitHub: LiuAlgoTrader ⸻ 4️⃣ QUANT HEDGE FUND SYSTEM 📊 An end-to-end Python project covering: → Market data collection → 25+ years of data → Backtesting → MLflow experiment tracking → Automated execution → Interactive Brokers integration Great repository to study if you’re interested in quant + MLOps + trading systems. GitHub: QuantHedgeFund ⸻ 5️⃣ AI-NATIVE HEDGE FUND 🧠 A local AI-native trading prototype combining: → Multiple agents → Strategy ensembles → Risk management → Backtesting → Local LLMs → Paper trading → 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 ⸻ 6️⃣ AUTONOMOUS TRADING SYSTEM 🚀 A multi-strategy algorithmic trading system featuring: → 6 quantitative strategies → Backtesting → Real-time dashboard → Portfolio management → Risk controls → Paper trading The repository provides a local setup using Python and Node.js. GitHub: autonomous-trading-system ⸻ 🔥 WHAT YOU CAN LEARN FROM THESE REPOS Don’t just clone and run them. Study the architecture: Market Data ↓ Feature Engineering ↓ Strategy / ML Model ↓ Signal Generation ↓ Portfolio Construction ↓ Risk Management ↓ Backtesting ↓ Paper Trading ↓ Monitoring That’s where the real learning happens. 🎯 IF YOU’RE A DATA SCIENCE / AI STUDENT Start with: 🥇 AI Hedge Fund 🥈 AI-Native Hedge Fund 🥉 Quant Hedge Fund System Then build your own simplified version. Laptop → Data → ML → Backtest → Risk → Dashboard ⚠️ These repositories are for learning/research and paper trading. Backtested performance is not a guarantee of future returns, and don’t connect a strategy to real money until you understand the risks. #GitHub #HedgeFund #QuantFinance #AlgorithmicTrading #creatorsearchinsights
🤗🤗 🤗 #thinhung #vtmgr
🤗🤗 🤗 #thinhung #vtmgr
#filmmunafik #munafiknyaindo #munafikmelawaniblis #bahayajadimunafik #fyppppppppppppppppppppppp
#filmmunafik #munafiknyaindo #munafikmelawaniblis #bahayajadimunafik #fyppppppppppppppppppppppp
iPhone Duo in Star White!!!
iPhone Duo in Star White!!!
Adoro o presidente Lula #lula #politica
Adoro o presidente Lula #lula #politica

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