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Technical Analysis Indicators for polars

Polars extension for Ta-Lib: Support Ta-Lib functions in Polars expressions

中国版技术指标

TradeX Chart is a trade / stock chart written in plain (vanilla) JavaScript with mobile support

Backtesting several trading strategy and rank them according their profit return.

📈 A modern port to .NET (C#) of Technical Analysis Library

Modern C# port of TA-Lib: 200+ technical analysis indicators supporting Double, Float, and Decimal via Generic Math

My notes of Ricequant

This repository enables traders/investors to spot undervalued stocks automatically in the market efficiently to help them maximise their profits.

Supertrend strategy for Gekko trading bot

Technical indicators with streaming update support

Technical Indicators written in Cython/C

A collection of useful images to research with Zipline in CLI & GUI environments

CCTALib : TA-Lib is widely used by trading software developers requiring to perform technical analysis of financial market data.【Support macOSX and iOS】.

goex 指标库

Confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.｜对于crypto交易对中 TraderView中的超级趋势参数 出现以及消失上限线或下限线前后过程进行确认 从而根据该参数指标的出现 进行多次合约做多&做空 开仓买卖

Rusty-talib is a technical analysis library written in pure Rust, providing various methods for calculating technical indicators.

Python implementation of simple algorithmic trading strategies using Momentum and Trend following technical indicators used by traders and investors in financial markets to analyze past market data and identify potential trends or patterns in the price and volume of an asset.

A pure dart port of go-talib (5K LOC) transpiled with my fork of gopherDart (WIP)

Technical indicators (TALib) written in typescript for deno.

a Windows application that performs technical analysis and forecasting of stock prices using linear regression | Python | pandas | Tkinter | TA-Lib | scikit-learn

Jupyter Notebooks to Help Discover New Crypto Currency Trading Strategies

Indicator bot for BINANCE FUTURES

wrapper for TA-Lib, provide intellisense in vscode and PyCharm

Porting tslib-1.20 to Android 9 of touch screen calibration

The Python project written on Jupyter includes technical analysis using various indicators, developing trading strategies based on the indicators, visualizing the outcomes, and testing the strategies. The indicators applied in the project are Simple Moving Average 200, Bollinger Bands, and RSI - Relative Strength Index.

An algorithmic cryptocurrency trading bot supported by Python TensorFlow Library

Container image with Python 3 + TA-Lib; arm64, arm/v7 variants are available for Raspberry Pi.