Alternatives and similar repositories for quantiative-trading

Users that are interested in quantiative-trading are comparing it to the libraries listed below

• armoreal / hft
  High Frequency Trading Strategies
  ☆45Updated 7 years ago
• jo-cho / meta_labeling_simplified
  Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…
  ☆13Updated 3 years ago
• ChaosQuant / stockindex500
  Trend Prediction for High Frequency Trading
  ☆41Updated 2 years ago
• riyersk / HFTrading
  Building a High Frequency Trading Engine with Neural Networks
  ☆12Updated 7 years ago
• ksemianov / TradingGym
  OpenAI Gym Environment for Low-Latency Trading
  ☆18Updated 6 years ago
• istaaaa / ChannelBreakOutHFT
  Channel break out strategy for High Frequency Trading.
  ☆14Updated 6 years ago
• sjcctv / Python-Market_Analysis_and_HFT_Trading_Strategy_Design-
  Use machine learning to trade bitcoin.
  ☆10Updated 3 years ago
• nikkizhao1202 / Trading_Strategy_SP500
  Trading Strategy on S&P500 with different method (Linear Regression, XGBOOST, LSTM, HMM
  ☆10Updated 5 years ago
• rune-l / HighFrequency
  High Frequency Jump Prediction Project
  ☆36Updated 5 years ago
• kurupjayesh / Statistical-Arbitrage-using-Pairs-Trading
  ☆49Updated 8 years ago
• fraserjohnstone / pairs-trading-backtest-system
  Substantial backtesting of statistical arbitrage pairs trading with crypto-currencies
  ☆22Updated 5 years ago
• Hongtao-Lin / HFT-Prediction
  Machine learning approach to high frequency trading, MLP & RNN used
  ☆22Updated 8 years ago
• lineojcd / Order-Imbalance-Strategy
  for 18HS MFOEC198 Introduction to systematic risk premia strategies traded at hedge funds (L+E)
  ☆13Updated 4 years ago
• dstreetquant / pyVWAPTradingSignalSystem
  A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal
  ☆17Updated 7 years ago
• txu2014 / binance_orderflow
  Derive order flow from Tick and Trade data.
  ☆32Updated 3 years ago
• Jackmzw / Price_Prediction_LOB
  Deep learning for price movement prediction using high frequency limit order data
  ☆40Updated 6 years ago
• mselser95 / optimal-market-making
  Implementation of "OPTIMAL MARKET MAKING BY REINFORCEMENT LEARNING"
  ☆27Updated 4 years ago
• koteyevlev / MarketMakingMLAlgo
  This is a research about using ML or RL predictions for HFT Market Making. Backtest was build on Full order log
  ☆29Updated 3 years ago
• Weichong515 / Algo-Trading-14
  Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm
  ☆15Updated 6 years ago
• anxxos / sp500-prediction-sentiment-xgboost
  In this work an application of the Triple-Barrier Method and Meta-Labeling techniques is explored with XGBoost for the creation of a sent…
  ☆20Updated last year
• scibrokes / real-time-fxcm
  #易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水 《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》 万般皆下品，唯有读书高。🚩🇨🇳🏹🦔中科红旗，…
  ☆47Updated last month
• nkaz001 / gridtrading
  high-frequency grid trading strategy backtesting for binance futures
  ☆23Updated 2 years ago
• jo-cho / Technical_Analysis_Strategies_Cryptocurrency
  Different trading strategies based on technical analysis using Ethereum/USD 5-minute bars data
  ☆18Updated 4 years ago
• haosongQuant / OrderBook-Tick-Data-Trading
  verify OrderBook Tick Data Trading Strategy on futures.
  ☆15Updated 6 years ago
• Yan1015 / High-frequency-Pairs-trading
  This is the final project of Statistical Arbitrage course and it aims to apply pairs trading in high frequency data to realize auto-tradi…
  ☆19Updated 6 years ago
• nife8975 / Trendline_Tools
  Tools to calculate and plot support/resistance lines for OHLC datasets
  ☆26Updated 6 years ago
• fushuyue / Ml_HFT
  Price Prediction with Machine Learning Models (practicum project at CME group)
  ☆68Updated 9 years ago
• raehyuns / DDRL_trading
  Deep Direct Recurrent Reinforcement Learning to learn trading system
  ☆26Updated 7 years ago
• lamres / orderbook_modeling
  Example of order book modeling.
  ☆56Updated 5 years ago
• jo-cho / trading-rules-using-machine-learning
  Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.
  ☆64Updated 2 years ago