Search Results for "indicators" - Page 2
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Showing 54 open source projects for "indicators"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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crypto scanner v6.0.0
AI‑powered signals, risk analysis, and automated trading bot
...Risk Rating: Low/Medium/High based on liquidity, volatility, category, technicals. Filters: Category (DeFi, AI, Gaming, NFT, Meme, L2), signal, risk, search. Indicators: RSI, MACD, BB%, Stochastic, ADX, ATR%, EMA, turnover, on‑chain data. Extras: TradingView charts, notes, Excel export. 🤖 SmartEagle Bot (7‑day trial) Auto/manual trade on Strong Buy/Buy signals. 100+ exchanges (Binance, Toobit, etc.) + simulator. Stop loss, take profit, trailing stop, position sizing, cooldown. Encrypted keys... -
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HunterX AI-Assisted Offensive Security Engine Discover. Validate. Prove. Report. HunterX is not merely a vulnerability scanner. It is an open-source, AI-assisted offensive security engine for planning and running authorized security-assessment missions. It combines reconnaissance, security-tool orchestration, AI-assisted reasoning, hypothesis-driven investigation, vulnerability validation, evidence collection, proof / PoC engineering, replay / reproducibility, correlation, impact...
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LazyDS4
Transform your DualShock 4 into a native Xbox 360 controller. v2.1.0
... 📌 What's New (v2.1.0) 🎨 Visual Overhaul — Modern, professional interface with gradient backgrounds and advanced styling 📐 Layout Optimization — Improved spacing, alignment, and responsiveness 🎉 Icon Integration — Consistent use of dynamic SVG icons throughout ⚡ Enhanced Button Design — Polished buttons with smooth animations and clear actions 📊 Responsive Interface — Adapted for various screen sizes without overlaps 🔔 Real-time Visual Indicators — Clear and immediate feedback for status, warnings, and battery levels Built by the lazy, for the lazy. -
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NAVAL-SEM
Award-winning open-source offline SEM platform for PLS-SEM & CB-SEM
NAVAL-SEM is an award-winning, free and open-source offline Structural Equation Modeling (SEM) platform supporting PLS-SEM and CB-SEM workflows. Designed for researchers, PhD scholars, professors, and analysts, it provides visual model building, measurement assessment, structural model analysis, and reproducible research workflows without subscriptions or cloud dependency. Features include: • PLS-SEM & CB-SEM • Bootstrapping, mediation, moderation & conditional process analysis • HTMT,... -
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JesseAi
Advanced AI-Powered Python Crypto Trading Bot 2026 - Free Backtesting
...One of the best open-source alternatives to Freqtrade with genuine AI edge: privacy-first self-hosting (no shared API keys), multi-timeframe/symbol backtesting, custom indicators, ML-enhanced signals. Perfect for Python devs, algorithmic traders, high-frequency, trend-following, mean-reversion & arbitrage enthusiasts seeking the top ai crypto trading bot or best crypto trading bot in 2026. Automate your crypto edge — download now & start winning! Join the future of crypto! -
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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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airda
airda(Air Data Agent
airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes. -
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RCStudioClock
A Radio Studio Clock intended to be flexible and easy to overview
A Radio Studio Clock intended to be flexible and easy to overview. This program is intended to be used on Raspberry Pi or similar devices. This Program is licensed unter GPLv3. It is based on the work of JDG Waren (see https://github.com/jdgwarren/pirsclockfull) -
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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,... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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fastquant
Backtest and optimize your ML trading strategies with only 3 lines
...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 strategies such as moving average crossovers, momentum trading, and custom indicators on historical stock data. By automating data retrieval, strategy evaluation, and result visualization, the library reduces the barrier to entry for individuals interested in quantitative finance. The project also supports optimization workflows that allow users to search for parameter combinations that improve trading strategy performance. -
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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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MachineLearningStocks
Using python and scikit-learn to make stock predictions
...The project provides a structured workflow that collects financial data, processes features, trains predictive models, and evaluates trading strategies. Using libraries such as pandas and scikit-learn, the repository shows how historical financial indicators can be transformed into machine learning features. The model attempts to predict whether specific stocks will outperform a benchmark index such as the S&P 500. The repository includes scripts for parsing financial statistics, building training datasets, and performing backtesting to evaluate model performance over historical periods. ... -
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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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AIAlpha
Use unsupervised and supervised learning to predict stocks
...It provides a research-oriented environment where users can experiment with data processing pipelines, model training workflows, and quantitative trading strategies. The project typically involves collecting market data, transforming financial indicators into machine learning features, and training models to identify patterns that may predict market trends. It also demonstrates how models can be evaluated through backtesting frameworks that simulate how a strategy would perform using historical market conditions. By combining financial analytics with machine learning algorithms, the repository illustrates the process of building data-driven investment strategies. -
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backtrader
Python Backtesting library for trading strategies
backtrader is a Python framework for developing, backtesting, and running trading strategies. Its Cerebro engine coordinates strategies, data feeds, brokers, indicators, analyzers, and execution. Developers can combine multiple strategies, instruments, and timeframes while resampling or replaying market data. The framework includes a large indicator library, custom indicator support, analyzers, position sizing, commissions, and trading calendars. Its broker simulation supports market, limit, stop, trailing, OCO, and bracket-style orders along with slippage and volume filling. ... -
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TradingView Chart Data Extractor
Extract price and indicator data from TradingView charts
Ensure that you zoom/pan such that the oldest date you desire is visible on TradingView before publishing the chart. Too many indicators or too low a time resolution will increase the data points and potentially overload the free server. Avoid this by hosting/running the script on your local machine or scraping multiple times with fewer indicators and manually combining the CSV afterward. Simply append the URL of a chart/idea published on TradingView to the link below. ... -
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Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
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Rekall
Rekall Memory Forensic Framework
...It ships with a large collection of plugins that parse OS internals to recover processes, modules, sockets, registry hives, and file objects, even when rootkits try to hide them. The design emphasizes repeatability: investigators run well-defined analyses that produce timelines, indicators, and reports suitable for case work or automation. Rekall supports profile-free operation for many targets, reducing setup friction and making it easier to handle varied images in the field. Extensibility is a core theme, with a plugin API and notebook-friendly workflows for custom hunts and triage. Used well, it compresses what would be hours of manual sleuthing into scripted passes over a consistent object model. -
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bulbea
Deep Learning based Python Library for Stock Market Prediction
bulbea is an open-source Python library designed for financial analysis and stock market prediction using machine learning and deep learning techniques. The library provides tools for retrieving financial time series data, preprocessing market data, and training predictive models that estimate future price movements. bulbea integrates common machine learning frameworks such as TensorFlow and Keras to build neural network models capable of learning patterns in historical financial data. It... -
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GreenHop
Energy and environmental monitoring of the server room
The solution GreenHop aims to perform energy and environmental (temperature, humidity, dew point and atmospheric pressure) monitoring of the Data Center server room, providing energy efficiency indicators through green metrics for Data Centers. The GreenHop solution is based on open source software and hardware. The approach of using open source solutions enables its deployment easier and independently of suppliers at the same time makes the solution scalable to the needs of each organization. Thus, we aim to provide ambiental monitoring of the Data Center server room while we keep the system to be customizable to implement and replicate. -
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Provides an App-Indicator for you Synology NAS. Add links and torrents, see download progress, auto-add torrents from a folder. Only useful if your platform supports App-Indicators and you own a Synology NAS! Tested on DSM 5.x with Unity, MATE and GNOME 3 PS: GNOME 3 users may want to install the topicons extension as well.
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Tushare
TuShare is a utility for crawling historical data of China stocks
Tushare is a Python library that provides access to a wide range of financial data focused on the Chinese stock market. It allows users to retrieve real-time and historical market data, financial reports, index data, and macroeconomic indicators. Tushare is widely used in quantitative trading, data analysis, and academic research. It supports both free and premium data tiers via Tushare Pro, which requires an API token. -
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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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Tftpy is a TFTP library for the Python programming language. It includes client and server classes, with sample implementations. Hooks are included for easy inclusion in a UI for populating progress indicators. It supports RFCs 1350, 2347 and 2348. Proje
