Btc_rl_trading_bot
A trading bitcoin agent was created with deep reinforcement learning implementations.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Stock Prediction Models | 6,233 | a year ago | 46 | apache-2.0 | Jupyter Notebook | |||||
| Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations | ||||||||||
| Awesome Deep Trading | 799 | 2 years ago | 1 | mit | ||||||
| List of awesome resources for machine learning-based algorithmic trading | ||||||||||
| Trading Bot | 758 | 5 months ago | 16 | mit | Jupyter Notebook | |||||
| Stock Trading Bot using Deep Q-Learning | ||||||||||
| Chanlun | 277 | 2 years ago | 6 | Python | ||||||
| 文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view! | ||||||||||
| Neuroevolutionmarkettrader | 19 | 2 years ago | Jupyter Notebook | |||||||
| Neuro evolution agent to buy and sell stocks atumatically | ||||||||||
| Cryptoforex Trader Framework | 18 | 9 months ago | Python | |||||||
| Experimental research around Binance API and FTX API (mainly Python) | ||||||||||
| Hftframework | 15 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
| Market making algorithmic trading framework used to test reinforcement learning on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm " | ||||||||||
| Btc_rl_trading_bot | 14 | 2 years ago | 1 | mit | Jupyter Notebook | |||||
| A trading bitcoin agent was created with deep reinforcement learning implementations. | ||||||||||
| Rnn Stocks Prediction | 8 | a year ago | Jupyter Notebook | |||||||
| EUR/USD Binary Options Predictions: Using Deep Learning and Random Forest. | ||||||||||
| R_selflearning | 6 | 3 years ago | mit | R | ||||||
| Developing self learning robot | ||||||||||
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Jupyter Notebook
Deep Learning
Cryptocurrency
Trading Bot
Deep Reinforcement Learning
Time Series Analysis
Lstm Neural Networks
Proximal Policy Optimization