Search Results for "technical indicators"
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Showing 14 open source projects for "technical indicators"
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Claude SEO
Universal SEO skill for Claude Code
Claude SEO is an open-source Claude Code skill suite for running structured SEO analysis through AI-assisted workflows. It combines 25 sub-skills and 18 specialist agents across technical SEO, content quality, Schema.org markup, GEO and AEO, local SEO, e-commerce, international SEO, backlinks, semantic clustering, and Google API workflows. The system is designed to produce prioritized action plans instead of generic audit notes. Recommendations include first-principle observations, dependency relationships, falsifiability checks, and leading indicators. ... -
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Mobile Verification Toolkit
Helps with conducting forensics of mobile devices
...Compare extracted records to a provided list of malicious indicators in STIX2 format. Generate JSON logs of extracted records, and separate JSON logs of all detected malicious traces. -
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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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TradingDeskPro
Multi-market charts and paper trading for desktop!
Trading Desk Pro is a desktop application for viewing market charts and practicing advanced trades with virtual funds. It supports cryptocurrencies. The app includes candlestick charts, technical indicators, simulated srders, AI-assisted chart analysis and a trade journal. Also, users can review their simulated trades and account performance, with records stored locally. The interface supports multiple languages! Lastly, if you want to delete this app, please download 'TradingDeskPro_remove.bat'. (As I am Korean, I am not fluent in English, so I wrote most of the explanation with the help of AI. ... -
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JesseAi
Advanced AI-Powered Python Crypto Trading Bot 2026 - Free Backtesting
Jesse Bot: Advanced AI-Powered Python Best Crypto Trading Bot & Framework (2026) Jesse Bot — free open-source Python crypto trading bot & robust framework for cryptocurrency markets. Build, backtest, AI-optimize, and execute precise automated strategies with zero look-ahead bias. Use JesseGPT — built-in AI assistant — to write, debug, and refine strategies effortlessly, even as a beginner. Secure live trading on Binance, Bybit & major exchanges, full risk management, leverage/futures... -
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Loss
The Brutalist Market Analyzer
LOSS is a high-speed, "split-stack" financial dashboard designed to strip away market noise. By combining mathematically rigorous technical indicators with VADER-powered AI sentiment analysis, LOSS delivers objective, real-time Buy, Sell, or Hold verdicts in under two seconds. Wrapped in a distraction-free, "Brutalist" user interface, this tool is built for traders who rely on data, not hype. Modern financial websites are bloated with ads, conflicting opinions, and unnecessary jargon. ... -
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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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fastquant
Backtest and optimize your ML trading strategies with only 3 lines
fastquant is a Python library designed to simplify quantitative financial analysis and algorithmic trading strategy development. The project focuses on making backtesting accessible by providing a high-level interface that allows users to test investment strategies with only a few lines of code. It integrates historical market data sources and trading frameworks so that users can quickly build experiments without constructing complex data pipelines. The framework enables users to test common... -
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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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Pandas TA
Python 3 Pandas Extension with 130+ Indicators
Technical Analysis Indicators - Pandas TA is an easy-to-use Python 3 Pandas Extension with 130+ Indicators. Pandas Technical Analysis (Pandas TA) is an easy-to-use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns. Many commonly used indicators are included, such as: Candle Pattern(cdl_pattern), Simple Moving Average (sma) Moving Average Convergence Divergence (macd), Hull Exponential Moving Average (hma), Bollinger Bands (bbands), On-Balance Volume (obv), Aroon & Aroon Oscillator (aroon), Squeeze (squeeze) and many more. -
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surpriver
Find big moving stocks before they move using machine learning
...The system analyzes historical stock price and volume data to detect anomalies that could indicate potential trading opportunities. By applying machine learning techniques to market indicators, the tool attempts to identify patterns in trading behavior that deviate significantly from normal market activity. These anomalies are interpreted as signals that a stock may soon experience a major upward or downward move. The framework includes modules for retrieving market data, computing technical indicators, and applying anomaly detection algorithms to identify unusual patterns. ... -
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myCStock
An other free stock market software in C++/Python
A parser for real-time update of stock market prices and a graphical interface with technical indicators. It is a small personal project initiated for extending my knowledge in C++ and Python, designing a GUI and, in a next stage, applying mathematical and statistical models to stock market prices analysis and prediction. If you have the same interest than I in experimenting and disussing design software and statistical models in finance, you are welcome to join the project. ... -
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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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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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