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machine-learning-for-trading

machine-learning-for-trading by stefan-jansen — algorithmic trading · backtesting · data science — Jupyter Notebook source project.

FinanceData Science

SOURCE PROJECT

Inspect the project before installing

This is a software repository, with setup and maintenance handled by you. It is not a hosted Wrowo service.

Maintainer
stefan-jansen
Main language
Jupyter Notebook
Repository licence
MIT
Source checked
2026-10-16
Repository updated
2026-10-16

Topics found in the project README

Container setupAPI-key configurationGPU / CUDA discussionDatabase integration

README mentions help with shortlisting; they are not installation tests or a promise that every integration is supported.

Read the installation instructions ↗

Costs to check separately

The README mentions API-key configuration. Confirm which provider is needed, which model is used and whether each request is billed. GPU or CUDA requirements appear in the documentation; a normal shared WordPress host may not meet them. A code licence does not include a running server, storage, model credits or managed support. Wrowo does not supply these resources.

Source profile, not a hands-on review. Suggest a correction · Editorial policy

Key features

✓ Main implementation: Jupyter Notebook
✓ Maintained under stefan-jansen
✓ Repository licence: MIT
✓ README mentions container setup
✓ README includes API-key configuration
✓ README references database software

Suggested evaluation tasks

Use a small dataset with known missing values and outliers; inspect preprocessing and repeatability before using real research data.Inspect the documented provider settings and test a tiny request with a strict spending limit; record which service receives the input.
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