skfin
Unverified ML strategy on Multi by schampon. BotFinder score 18 out of 100.
Machine learning for portfolio management and trading with scikit-learn
Source: github
BotFinder analysis pending.
skfin
skfin Machine learning for portfolio management and trading with scikit-learn Motivation This repo contains a set of python notebooks that cover topics related to machine-learning for portfolio management as illustrated by the figure below. The concatenation of all notebooks as a single pdf file can be found here. Example An example to run a simple backtest with learning using a Ridge estimator: Installation This creates and activates a skfin2026 conda/mamba environment (Python 3.12), installs skfin in editable mode, and registers a Jupyter kernel. See environment.yml for the full dependency list and pyproject.toml for optional extras (nlp, llm, boost, optim). API keys (optional) LLM notebooks (48CentralbankwithLLM) require an OPENAIAPIKEY environment variable; never hardcoded, loaded via os.environ.get("OPENAIAPIKEY"). Running tests See CONSTITUTION.md and STANDARDS.md for the project's design principles and coding conventions.
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