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stefan-jansen/machine-learning-for-trading: stefan-jansen/machine-learning-for-trading bu tek bir trading botundan çok açık kaynak quant/ML laboratuvarı gibi data > feature > model > backtest > costs > risk > deployment zincirini uçtan uca ele alıyor özellikle ilgimi çeken taraf: lookahead bias walk-forward validation transaction costs overfitting AI agents RAG + financial research gibi çoğu “ai trading bot” demosunun atladığı şeyleri merkeze koyması
machine-learning-for-trading ⭐ 22k A collection of over 150 notebooks that show developers how to apply machine learning to algorithmic trading. 🔗 stefan-jansen/machine-learning-for-trading #opensource t.co
Key features: • Ease of Use • Batteries Included • PyData Integration • Statistics and Machine Learning Libraries Grab the code here: stefan-jansen/zipline-reloaded
😤 想做量化，光整理数据就卡住半个月。这套代码 2.1 万星，把全流程走了一遍：抓数据、清洗、特征工程、训练模型、回测、接实盘，每步都有能跑的 notebook。 stefan-jansen/machine-learning-for-trading
4. Backtest with reality baked in If it only works with zero fees, it doesn’t work. Add transaction costs + slippage. Do it with this (free): zipline-reloaded stefan-jansen/zipline-reloaded