pypi.org : algo-wars
algo-wars is Python library for Investment Strategies such as Volatility Modeling, Technical Analysis, and Portfolio Optimization. The goal of this library is to provides cues for strategies to investment or trade stock, bond, or cryptocurrency, based on the statistical machine learning and the deep reignforcement learning.
Registry
-
Source
- Homepage
- Documentation
- JSON
purl: pkg:pypi/algo-wars
Keywords:
auto-encoder
, automatic-summarization
, combinatorial-optimization
, deep-learning
, deep-q-network
, deep-reinforcement-learning
, energy-based-model
, generative-adversarial-network
, lstm
, multi-agent-reinforcement-learning
, q-learning
, quantum-annealing
, quantum-monte-carlo
, reinforcement-learning
, restricted-boltzmann-machine
, self-supervised-learning
, semi-supervised-learning
, simulated-annealing
, transfer-learning
License: GPL-2.0
Latest release: almost 4 years ago
First release: almost 4 years ago
Dependent repositories: 1
Downloads: 39 last month
Stars: 314 on GitHub
Forks: 91 on GitHub
Total Commits: 1784
Committers: 9
Average commits per author: 198.222
Development Distribution Score (DDS): 0.414
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 27 days ago