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GitHub / SharonOkolo / EnhancingInvestmentDecisionMakinginVolatileFinancialMarkets

We developed a system that uses DLR agents like A2C, DDPG, POP and TDR to predicts optimal actions to take in terms of stock trading using dow 30 tickers.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SharonOkolo%2FEnhancingInvestmentDecisionMakinginVolatileFinancialMarkets

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 1.19 MB
Dependencies: 269

Created: 3 months ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago

Files

Readme

Dependencies

pyproject.toml pypi

requirements.txt pypi

SQLAlchemy *
alpaca_trade_api >=2.1.0
ccxt >=1.66.32
elegantrl *
exchange_calendars ==3.6.3
gputil *
gymnasium *
importlib-metadata ==4.13.0
jqdatasdk *
lz4 *
matplotlib >=3.7.0
numpy >=1.17.3
pandas >=1.1.5
pre-commit *
pyfolio *
pytest *
ray *
recommonmark *
scikit-learn >=0.21.0
setuptools >=65.5.0
sphinx *
sphinx_rtd_theme *
stable-baselines3 *
stockstats >=0.4.0
swig *
tensorboardX *
wheel >=0.33.6
wrds *
yfinance *

setup.py pypi

poetry.lock pypi

240 dependencies