mpquant / MyTT
MyTT simplifies the conversion of indicators and formulas from Tongdaxin, Tushou, and Wenhua software into Python. The core library is a single file with just a hundred lines of code and over a dozen core functions. It enables the implementation of all common technical indicator algorithms using pure Python (without relying on the TALIB library). It converts formulas from Tongdaxin such as MACD, RSI, BOLL, ATR, KDJ, CCI, PSY, etc. All these are encapsulated using pandas functions for efficient and high-performance processing. It can be easily applied in stock indicator formulas, stock market and futures quantitative analysis, automated trading, and digital currency quantification. It is the most concise quantitative tool for the stock market. A Python library with the most stock market indicators.
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- updated 4 months ago
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- since 2021
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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.Summarised by AI from the README; the original prevails
Author description: MyTT simplifies the conversion of indicators and formulas from Tongdaxin, Tushou, and Wenhua software into Python. The core library is a single file with just a hundred lines of code and over a dozen core functions. It enables the implementation of all common technical indicator algorithms using pure Python (without relying on the TALIB library). It converts formulas from Tongdaxin such as MACD, RSI, BOLL, ATR, KDJ, CCI, PSY, etc. All these are encapsulated using pandas functions for efficient and high-performance processing. It can be easily applied in stock indicator formulas, stock market and futures quantitative analysis, automated trading, and digital currency quantification. It is the most concise quantitative tool for the stock market. A Python library with the most stock market indicators.
Basic listing based on official public information; functionality has not been independently evaluated.
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