Alternatives and similar repositories for T-1000

Users that are interested in T-1000 are comparing it to the libraries listed below

• kkuette / TradzQAI
  Trading environnement for RL agents, backtesting and training.
  ☆166Updated 3 years ago
• 6-Billionaires / trading-gym
  This trading-gym is the first trading for agent to train with episode of short term trading itself.
  ☆233Updated 2 years ago
• harveybc / gym-fx
  Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV f…
  ☆208Updated 7 months ago
• cove9988 / TradingGym
  Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
  ☆220Updated 11 months ago
• mjuchli / ctc-executioner
  Master Thesis: Limit order placement with Reinforcement Learning
  ☆178Updated 7 years ago
• wi-0 / Pair-Trading-Reinforcement-Learning
  Implementation of Reinforcement Learning in Pair Trading
  ☆10Updated 2 months ago
• SC4RECOIN / NeuroEvolution-BTC-Trader
  Building a population of models that trade crypto and mutate iteratively
  ☆162Updated 4 years ago
• Kostis-S-Z / trading-rl
  Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
  ☆223Updated 2 years ago
• miroblog / tf_deep_rl_trader
  Trading Environment(OpenAI Gym) + PPO(TensorForce)
  ☆255Updated 2 years ago
• saeed349 / Deep-Reinforcement-Learning-in-Trading
  This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …
  ☆218Updated last year
• gaurav1086 / dl-algo-trader
  Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…
  ☆88Updated 5 years ago
• jiewwantan / StarTrader
  This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…
  ☆108Updated 6 years ago
• druce / rl
  Deep Reinforcement Learning For Trading
  ☆106Updated last year
• notadamking / Stock-Trading-Visualization
  A simple, yet elegant visualization of our stock trading RL agent environment.
  ☆223Updated 3 years ago
• timothyyu / gdax-orderbook-ml
  Application of machine learning to the Coinbase (GDAX) orderbook
  ☆100Updated 2 years ago
• kayuksel / forex-rl-challenge
  A Deep Reinforcement Learning Challenge on Forex Portfolio Management
  ☆150Updated last year
• ThirstyScholar / trading-bitcoin-with-reinforcement-learning
  An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".
  ☆102Updated 6 years ago
• miroblog / limit_orderbook_prediction
  ☆141Updated 2 years ago
• samre12 / gym-cryptotrading
  OpenAI Gym Environment API based Bitcoin trading environment
  ☆136Updated 3 years ago
• dmackenz / Keras-Neuro-Evolution-Trading-Bot-Skeleton
  A skeleton for creating a neuro-evolution reinforcement learning trading bot with a Keras neural network.
  ☆98Updated 7 years ago
• quantroom-pro / pyrenko
  ☆128Updated this week
• EconomistGrant / HTFE-tensortrade
  Tensortrade project for reinforcement learning in futures market
  ☆56Updated 4 years ago
• CodeLogist / RL-Forex-trader-LSTM
  Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader
  ☆191Updated 2 years ago
• wywongbd / pairstrade-fyp-2019
  We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
  ☆265Updated 2 years ago
• yazzaoui / A3C-Crypto-Trader
  Deep Reinforcement Learning A3C Crypto Trading Bot
  ☆40Updated 7 years ago
• ucaiado / rl_trading
  An environment to high-frequency trading agents under reinforcement learning
  ☆283Updated 8 years ago
• joosthoeks / jhTAlib
  Technical Analysis Library Time-Series
  ☆154Updated 2 months ago
• miroblog / deep_rl_trader
  Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
  ☆420Updated 2 years ago
• pnecchi / Thesis
  Reinforcement Learning for Automated Trading
  ☆90Updated 8 years ago
• sachink2010 / AutomatedStockTrading-DeepQ-Learning
  Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…
  ☆282Updated 4 years ago