kochlisGit/TraderNet-CRv2
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
This system helps cryptocurrency traders make more informed decisions by combining historical market data with advanced AI. It takes raw cryptocurrency trading data and outputs buy/sell signals, aiming to improve trading performance. Traders, portfolio managers, and quantitative analysts focused on crypto markets would find this useful for developing and backtesting trading strategies.
No commits in the last 6 months.
Use this if you are a cryptocurrency trader or quantitative analyst looking to enhance your trading strategies with deep reinforcement learning and technical analysis.
Not ideal if you are looking for a ready-to-use commercial trading bot or a tool for traditional stock market analysis.
Stars
40
Forks
12
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 02, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kochlisGit/TraderNet-CRv2"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quantylab/rltrader
파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문 (개정판)
matlab-deep-learning/reinforcement_learning_financial_trading
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
erhardtconsulting/tensortrade-ng
TensorTrade-NG is an open source Python framework for building, training, evaluating, and...
TradeMaster-NTU/TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement...
LeonardoBerti00/DeepMarket
DeepMarket is a framework for performing Limit Order Book simulation with Deep Learning. This is...