maslam's repositories

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

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Deep-Trading

Algorithmic trading with deep learning experiments

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lczero-training

For code etc relating to the network training process.

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LearningX

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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piecewise

Functions for piecewise regression on time series data

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portfolio_allocation_js

A JavaScript library to allocate and optimize financial portfolios.

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PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

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qstrader

QSTrader

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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