macd
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Advanced GAS Price Level Indicator combines machine learning-inspired alpha factors with traditional technical analysis, providing adaptive, correlation-weighted signals for high-probability trading opportunities.
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Jun 2, 2025
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.
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Apr 29, 2023 - Python
The algorithm for various trading strategies using different technical indicators and comparing all the different strategies on various parameters.
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Dec 26, 2022 - Jupyter Notebook
Smart Stock Trading platform
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Jul 19, 2019
Small stock analysis tool that implements Moving Average Convergence Divergence (MACD) and gives recommendations based on the MACD and it's signal line crossovers.
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Apr 22, 2021 - Python
Comparison of Trading Strategies - return percent.
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May 9, 2023 - Jupyter Notebook
A versatile, compact (807-byte) implementation of Gerald Appel's MACD (Moving Average Convergence / Divergence) formula.
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Jan 7, 2023 - TypeScript
An app which forecast future stock prices based on historical trends with different charts, along with companies EPS, ROE, Market Capital, P/E Ratio etc.
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May 11, 2025 - Python
A Moving Average Convergence / Divergence calculation algorithm.
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Jan 8, 2023 - TypeScript
Stock market momentum analysis using averaging of 7 weighted technical indicators
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Mar 12, 2021 - Python
This repository features a collection of in-depth quantitative trading strategies, as well as strategies based on technical analysis.
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Nov 19, 2024 - Jupyter Notebook
📈 Indicadores Crypto inspirados no tradingview
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Jul 6, 2024 - JavaScript
A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
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Apr 19, 2024 - Python
This project analyzes two algorithmic trading strategies: the first one is a simple rule-based strategy, the second one leverages a Reinforcement Learning (RL) approach using Q-Learning
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Apr 29, 2025 - R
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