Search Results for "technical indicators"
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Showing 23 open source projects for "technical indicators"
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TradingGoose Studio
Technical analysis + LLM powered trading workflows
TradingGoose Studio is an open-source AI workflow platform designed to enable advanced financial trading analysis and automation through a visual, modular interface powered by large language models. It combines traditional technical analysis with modern AI-driven decision-making by allowing users to build workflows where multiple specialized agents collaborate to interpret market signals and execute actions. The platform supports end-to-end trading pipelines, starting from ingesting real-time market data and applying custom indicators, to generating insights and triggering automated trades or alerts. ... -
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Fincept Terminal
FinceptTerminal is a modern finance application
Fincept Terminal is an open-source financial intelligence platform aimed at bringing powerful market analysis and investment research tools to a broad audience without the prohibitive cost of proprietary terminals. The project provides both command-line and graphical interfaces that let users access real-time market data, economic indicators, and advanced analytics directly from a unified terminal environment, supporting stocks, forex, commodities, and more. Its architecture integrates Python, TypeScript, Rust, and React, reflecting both a robust data processing backend and a modern desktop UI experience. FinceptTerminal emphasizes AI-powered insights and automation, offering technical and fundamental analysis, sentiment data, and customizable workflows that help traders and analysts make informed decisions efficiently. ... -
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FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
FinRobot is an open-source AI framework focused on automating financial data workflows by combining data ingestion, feature engineering, model training, and automated decision-making pipelines tailored for quantitative finance applications. It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. Built with modularity in mind, FinRobot allows users to plug in custom models — from classical algorithms to deep learning architectures — and orchestrate components in pipelines that can run reproducibly across experiments. ... -
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Premium Markets
Premium Markets is an automated financial technical analysis system.
Premium Markets is an automated financial technical analysis system. With Premium Markets you can edit and create your own indicators as a composition of more than a hundred common technical analysis functions. It implements a graphical environment for monitoring financial technical analysis of the main stocks and shares markets and currencies. The standalone application includes a full integration of ta-lib C/C++ libraries. -
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AutoTrader
A Python-based development platform for automated trading systems
AutoTrader is a Python-based platform—now archived—designed to facilitate the full lifecycle of automated trading systems. It provides tools for backtesting, strategy optimization, visualization, and live trading integration. A feature-rich trading simulator, supporting backtesting and paper trading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable of simulating multiple order types, stop-losse,s and take-profits,... -
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Indicators.jl
Financial market technical analysis & indicators in Julia
Indicators is a Julia package offering efficient implementations of many technical analysis indicators and algorithms. This work is inspired by the TTR package in R and the Python implementation of TA-Lib, and the ultimate goal is to implement all of the functionality of these offerings (and more) in Julia. This package has been written to be able to interface with both native Julia Array types, as well as the TS time series type from the Temporal package. -
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Chart Geany
Technical analysis software
Chart Geany is a cross platform software solution for market technical analysis and charting. -
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TradeMaster
TradeMaster is an open-source platform for quantitative trading
TradeMaster is a first-of-its-kind, best-in-class open-source platform for quantitative trading (QT) empowered by reinforcement learning (RL), which covers the full pipeline for the design, implementation, evaluation and deployment of RL-based algorithms. TradeMaster is composed of 6 key modules: 1) multi-modality market data of different financial assets at multiple granularities; 2) whole data preprocessing pipeline; 3) a series of high-fidelity data-driven market simulators for mainstream... -
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jCandle is a rich client for technical chart analysis. With jCandle you are able to manage your portfolio, update quotes, view candlestick charts, and analyze charts with candlestick patterns, indicators and a trade simulator. The trade simulator simulates several indicators with various parameter combinations. The trade simulator autoselects the indicator parameters giving the best profit for a each indicator type.
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Temporal.jl
Time series implementation for the Julia language
This package provides a flexible & efficient time series class, TS, for the Julia programming language. While still early in development, the overarching goal is for the class to be able to slice & dice data with the rapid prototyping speed of R's xts and Python's pandas packages, while retaining the performance one expects from Julia. See the documentation for a more in-depth look at the package and some of the pain points it may solve when doing technical research with time series data. -
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Free Chart Geany
Stock market technical analysis charting application.
This project is abandoned. Please follow the Chart Geany Project: https://sourceforge.net/projects/chart-geany/ Free Chart Geany is a cross platform software solution for market technical analysis and charting. Key features: Compatible with stocks, mutual funds, futures, indices. Major technical analysis indicators. Tab-based graphical user interface. Easy download of quotes from Yahoo Finance or Google Finance. One click screen shots for charts. Spreadsheet-like data manager. Single file local storage. -
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LEAN
Lean algorithmic trading engine by QuantConnect
...LEAN's highly modular foundation can easily be extended for your fund focus. Use combinations of margin, fill, and slippage models to simulate a liquidity endpoint. 100+ popular technical indicators built, tested, and ready for use. Applicable to any data source. -
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Java application to display market data and technical indicators, and let developer implement custom trading strategy. It can be used as tool to combine different technical indicators (EMA + Bollinger Bands + RSI) to create a winning trading strategy.
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Technical indicators in Python
Technical indicators in Python
Technical indicators in Python For now there are: RSI - Relative Strength Index, SMA - Simple Moving Average, WMA - Weighted Moving Average, EMA - Exponential Moving Average, BB - Bollinger Bands, Bollinger Bandwidth, %B, ROC and MA envelopes When I can I will add more. If anyone wishes to contribute with new code or corrections/suggestions, feel free. -
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Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.
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Stock exchange analysis system, featuring shares pricing watch, intraday and history charts with technical analysis indicators, level II/market depth view, news watching, automated trading systems, integrated trading. Based on Eclipse RCP framework.
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GeniusTrader
GeniusTrader is a stock market trading systems toolkit
GeniusTrader aims to be a full featured toolbox for creating stock market trading systems based on Technical-Analysis methods. GeniusTrader implements trading systems defined in terms of: specific entry-exit points, current cash, current positions, trade type and most traditional technical analysis indicators. Market data time-periods range from ticks to years. Backtesting defined trading systems as well as tools to develop and test technical market indicators are provided. ... -
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AIOTrade (formerly Humai Trader Platform) is a free, open source stock technical analysis platform built on pure java. Its pluggable architecture is also ideal for custom features extending, such as indicators and charts. It Requires JRE 1.5.0+.
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Java stock charts web application. Technical analysis ( more then 50 indicators ). Many types of stock price line. Also it provides datafeed by web service or CSV. Can be used in order management systems. Applet or servlet. Can show stock patterns.
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Finasystem is a Technical Analysis library written in PHP5 (OO) language providing 50 indicators functions for the technical analysis of Financial Markets. We are moving now to others issues: Data retrievers, Graphical capabilitites, etc.
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Purpose: To make an easy to install, easy to use technical stock analyzer with some unusual powerful indicators. To run version newer than 0.5: 'java -jar ltsa.jar'
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The TEchnical STock Analyzer (TESTA) is a package intended to perform screening of large number of stocks meeting a certain set of conditions based on technical indicators. These conditions can be used to generate buy/sell signals. Many built-in indicator
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An application to performs technical analysis to a list stocks and generates signals to buy or sell using technical indicators.
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