mpquant/MyTT
MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators. observed · 2026-08-28
Health v2 · maintenance only
71/100
- Activity 87
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1933
- days_rel: n/a
- days_push: 82
- n_releases_24m: 0
Adoption not part of the score
2839 stars · 730 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
MyTT is a lightweight single-file Python library that implements common stock market technical indicators (MACD, RSI, BOLL, ATR, KDJ, CCI, PSY, etc.) in pure Python using numpy and pandas, without requiring the ta-lib dependency. It is compatible with indicator formula syntax from Chinese trading platforms like Tongdaxin (通达信), Tonghuashun (同花顺), and Wenhua Mai language, making formula porting nearly effortless.
Use cases
- calculate MACD RSI BOLL indicators in python without talib
- convert tongdaxin indicator formulas to python
- compute technical indicators for BTC crypto trading strategies
- add moving averages and KDJ to a stock quant backtest
- lightweight technical analysis library for pandas dataframes
- port tonghuashun stock indicator formulas to python
- compute trading indicators matching tongdaxin output values
When to choose
- you need common technical indicators without the painful ta-lib installation
- you want to port Tongdaxin/Tonghuashun indicator formulas to Python with minimal changes
- you want a tiny single-file library you can copy into any project
- you need sequence-in sequence-out indicator functions compatible with pandas/numpy workflows
When to avoid
- you need a comprehensive, battle-tested indicator suite with extensive edge-case handling
- you require official licensing clarity for commercial use (repo shows no license)
- you need indicators beyond the common set or advanced statistical functions
- you need a maintained library with guaranteed long-term support
Facets
library · maturity active
math data-science developer-tools fintech data-science python cross-platform technical-analysis stock-indicators quantitative-trading tongdaxin talib-alternative numpy pandas trading-indicators cryptocurrency quant
2 sources
- readme: https://github.com/mpquant/MyTT · fetched 2026-08-28 · df72fd125e64
- registry_pypi: https://pypi.org/pypi/mytt/json · fetched 2026-08-29 · 0e74c5e8e96c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mpquant/MyTT | main | 71 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem