1.goldmansachs / gs-quant
Python toolkit for quantitative finance
- gs-quant
- goldman-sachs
- risk-management
- trading-strategies
- derivatives
+2,109 stars
from 11,797 · score 7.65
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2.google / tf-quant-finance
High-performance TensorFlow library for quantitative finance.
- tensorflow
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- python
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3.quantopian / alphalens
Performance analysis of predictive (alpha) stock factors
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4.huseinzol05 / Stock-Prediction-ModelsArchived
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
- lstm
- lstm-sequence
- evolution-strategies
- stock-prediction-models
- seq2seq
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- +9 more
+64 stars
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5.quantopian / pyfolio
Portfolio and risk analytics in Python
+64 stars
from 6,373 · score 4.17
6.jankrepl / deepdow
Portfolio optimization with deep learning.
- deep-learning
- portfolio-optimization
- finance
- machine-learning
- pytorch
- timeseries
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+24 stars
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7.quantopian / empyrical
Common financial risk and performance metrics. Used by zipline and pyfolio.
+17 stars
from 1,501 · score 2.89