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pytorch-stock-predictor-rnn

quantstrat

rankernn2pmml

Exporter of Keras pairwise LTR Neural Network model (RankNet NN, LambdaRank NN) into PMML.

rime-quick

【速成】輸入方案

rl_trading

An environment to high-frequency trading agents under reinforcement learning

sector-rotation-rnn

A simple, self-coded recurrent neural network that uses weekly changes in 10 major sector ETFs to predict which sectors will grow in the coming weeks.

sector_rotation_final_project

Using LSTM to execute a sector rotation trading strategy

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

surpriver

Find big moving stocks before they move using machine learning and anomaly detection

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

trend

Trend following trading algorithm implementation in R

v2demo

用于在 Heroku 上部署 V2Ray WebSocket。

vectorbt

Ultimate Python library for time series analysis and backtesting at scale