haidong (zhd173)

zhd173

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Company:@white-kylin

Location:Cheng Du

Home Page:haidong.dev

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haidong's starred repositories

slackdump

Save or export your private and public Slack messages, threads, files, and users locally without admin privileges.

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cargo-bloat

Find out what takes most of the space in your executable.

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Options-Trading-Strategies-in-Python

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

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bottom

Yet another cross-platform graphical process/system monitor.

Language:RustLicense:MITStargazers:9603Issues:0Issues:0

MachineLearningStocks

Using python and scikit-learn to make stock predictions

Language:PythonLicense:MITStargazers:1725Issues:0Issues:0

Time-Series-Library

A Library for Advanced Deep Time Series Models.

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smart-money-concepts

Discover our Python package designed for algorithmic trading. It brings ICT's smart money concepts to Python, offering a range of indicators for your trading strategies.

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duckdb

DuckDB is an analytical in-process SQL database management system

Language:C++License:MITStargazers:21835Issues:0Issues:0

vectorbt

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

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FinRL

FinRL: Financial Reinforcement Learning. 🔥

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AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!

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py4fi

Python for Finance (O'Reilly)

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rusqlite

Ergonomic bindings to SQLite for Rust

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cargo-udeps

Find unused dependencies in Cargo.toml

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RustQuant

Rust library for quantitative finance.

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notebooks

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.

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bokeh

Interactive Data Visualization in the browser, from Python

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PythonResources

My curated list of resources on Data Science, Machine Learning, and Quantitative Finance

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scipy

SciPy library main repository

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yfinance

Download market data from Yahoo! Finance's API

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ipywidgets

Interactive Widgets for the Jupyter Notebook

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Hands-On-Machine-Learning-for-Algorithmic-Trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

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QuantFinance

Top training materials in quantitative finance

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Machine-Learning-for-Asset-Managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

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fastquant

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

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mastering-python-for-finance-second-edition

Sources codes for: Mastering Python for Finance, Second Edition

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jupyter-dash

OBSOLETE - Dash v2.11+ has Jupyter support built in!

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plotly.py

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

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cufflinks

Productivity Tools for Plotly + Pandas

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arch

ARCH models in Python

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