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Hvass-Labs avatar

Hvass-Labs/FinanceOps

0
View on GitHub↗
1,116 stars·231 forks·Jupyter Notebook·MIT·3 views

FinanceOps

Original repository on GitHub

Features

  • Algorithmic Trading Tools - Research and notebooks for long-term investment forecasting.

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Open-source alternatives to FinanceOps

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    mlfinlab is a Python machine learning library for finance designed for building and validating models used in quantitative trading and portfolio management. It provides a financial data engineering toolkit and a quantitative strategy backtesting framework to transform raw market data into predictive signals and target classes. The library includes a synthetic financial data generator to create artificial datasets that mimic the statistical properties of real assets for stress testing. It also provides specialized tools for financial time series labeling and sampling to prevent data leakage in

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Frequently asked questions

What does hvass-labs/financeops do?

Original repository on GitHub

What are the main features of hvass-labs/financeops?

The main features of hvass-labs/financeops are: Algorithmic Trading Tools.

What are some open-source alternatives to hvass-labs/financeops?

Open-source alternatives to hvass-labs/financeops include: daveskender/stock.indicators — Stock Indicators for .NET is a C# library package that produces financial market technical indicators. Send in… georgezouq/awesome-ai-in-finance — 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market. hudson-and-thames/mlfinlab — mlfinlab is a Python machine learning library for finance designed for building and validating models used in… melling/mathandsciencenotes — Menu: Computer Science | Electronics | Machine Learning | Mathematics | Quant Trading | Physics |. miro-ka/mosquito — Flexible Trading Bot with main focus on Machine Learning and Genetic Algorithms, inspired by zenbot. packtpublishing/hands-on-machine-learning-for-algorithmic-trading — Hands-On Machine Learning for Algorithmic Trading, published by Packt.