chenhq / Data-Mining-on-BTC-Trading-Statistics
Develop about 200 alpha factors from securities report etc, Grid Search/Random Search/Particle Swarm Optimization to improve factors performance
☆20Updated 6 years ago
Alternatives and similar repositories for Data-Mining-on-BTC-Trading-Statistics:
Users that are interested in Data-Mining-on-BTC-Trading-Statistics are comparing it to the libraries listed below
- This is a research about using ML or RL predictions for HFT Market Making. Backtest was build on Full order log☆27Updated 3 years ago
- Optimizing the Pairs-Trading Strategy using Deep Reinforcement Learning with Trading and Stop-loss Boundaries☆13Updated 3 years ago
- Trading Strategy on S&P500 with different method (Linear Regression, XGBOOST, LSTM, HMM☆10Updated 4 years ago
- AS model performance versus trivial delta for market-makers☆18Updated 3 years ago
- A low frequency statistical arbitrage strategy☆19Updated 6 years ago
- Repo for HFT project in CMF☆28Updated 2 years ago
- my first factor-stock-selecting backtest function☆21Updated 4 years ago
- 基于基因表达式规划算法的因子挖掘☆29Updated 3 years ago
- High Frequency Trading Strategies☆42Updated 7 years ago
- An implementation of Avellaneda-Stoikov market making model after reading the seminal paper☆30Updated 3 years ago
- Apply LASSO in High-Frequency-Trading☆9Updated 5 years ago
- My first high-frequency trading strategy using machine learning☆16Updated 2 years ago
- High Frequency Trading Strategy☆12Updated 6 years ago
- High Frequency Jump Prediction Project☆35Updated 4 years ago
- A 50ETF Option Volatility Arbitrage Strategy Based on SABR Model☆23Updated 2 years ago
- ☆11Updated 4 years ago
- This trading strategy deploy the copula model to define the divergence of two correlated asset. The backtesting system is built on backtr…☆22Updated 2 years ago
- Trend Prediction for High Frequency Trading☆39Updated 2 years ago
- Mock pairs trading strategy and backtesting with Kalman iltering and pair selection using clustering and cointegration.☆11Updated 2 years ago
- Literature survey of order execution strategies implemented in python☆41Updated 4 years ago
- Implementation in Python of the market making algorithm described in "Optimal high frequency trading with limit and market orders" by Gui…☆14Updated last year
- ☆23Updated 2 years ago
- Use machine learning to trade bitcoin.☆10Updated 3 years ago
- 多因子模型相关☆21Updated 3 years ago
- Market making strategies and scientific papers☆13Updated last year
- ☆49Updated 3 years ago
- 改写了gplearn源码,原有的gplearn会把数 据转为numpy,丢失了datetime和stockcode的原始信息。很难做截面的因子ic、ir分析,所以改动了相应的源码,使之可以做因子的截面ic分析。另外增加了时序函数和并行化框架ray的支持。☆18Updated last year
- This is for the capstone project "Optimal Execution of a VWAP order".☆33Updated 5 years ago
- for 18HS MFOEC198 Introduction to systematic risk premia strategies traded at hedge funds (L+E)☆13Updated 4 years ago
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆27Updated 6 years ago