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Part 1 — Crypto Quantitative Trading Part 1: Fundamentals and Essential Concepts

Comprehensive guide to crypto quantitative trading fundamentals. Explore market microstructure, data sources, technical indicators, and statistical analysis. Build production-ready data pipelines for Bitcoin and Ethereum with Python, pandas, and ccxt.

·25 min
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Part 2 — Crypto Quantitative Trading Part 2: Advanced Strategies and Backtesting Framework

Advanced guide to cryptocurrency trading strategy development and backtesting. Implement multiple strategy types, build robust backtesting frameworks, apply proper risk management, and evaluate performance with industry-standard metrics. Complete with Python implementations.

·28 min
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Part 3 — Crypto Quantitative Trading Part 3: Optimization, Validation, and Production Deployment

Complete guide to deploying quantitative crypto trading strategies to production. Learn validation techniques, optimization methods, live trading APIs, monitoring systems, and ML enhancements. Includes full AWS deployment architecture and Docker containerization.

·30 min

finance_data: A Python Toolkit for Downloading SEC Financial Filings from EDGAR

A complete guide to the finance_data open-source project: a Python-based toolkit for downloading SEC EDGAR financial reports including 10-K annual reports, 10-Q quarterly filings, and 13-F institutional holdings. Covers setup, usage examples, and the underlying architecture.

·10 min

InvestSkill: Professional Investment Analysis Plugin for Claude Code

Complete guide to InvestSkill, a Claude Code plugin that provides six powerful analytical tools for stock evaluation, fundamental analysis, technical analysis, economics research, portfolio review, and sector analysis. Learn how to integrate AI-powered financial analysis into your development environment.

·15 min

心靈 Lesson 2:如何建立「賣股票」的固定流程?投資心法完整指南

完整指南教你如何建立股票賣出的固定流程。從核心持股的機會成本分析、成長股的移動停利設定,到事件型標的的分批獲利策略,打造讓你長期走得下去、不後悔的賣出邏輯。

·15 min