Showing 59 open source projects for "indicators"

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  • 1
    Smart Money Concepts

    Smart Money Concepts

    Discover our Python package designed for algorithmic trading

    ...These indicators are inspired by ICT trading principles and are used to identify trends, reversals, and potential entry or exit points in financial markets. The system is modular, allowing users to combine different indicators and integrate them into backtesting frameworks or live trading bots. It is particularly useful for traders working in forex, crypto, or equities who rely on price action rather than traditional indicators.
    Downloads: 6 This Week
    Last Update:
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  • 2
    Zero Breach Toolkit

    Zero Breach Toolkit

    Free, open-source, offline checks for traces of mercenary spyware

    Zero Breach Toolkit is a free, open-source security scanner that checks devices for traces of known mercenary spyware, including Pegasus, Predator, Graphite, and Candiru. It supports Windows, macOS, Linux, Android phones, and iPhone backups. The software compares local forensic artifacts against published indicators of compromise. It examines supported browser records, system logs, files, and other potential evidence sources. Scans run offline without uploading personal information or modifying original evidence. Reports classify findings by evidentiary strength and identify checks that could not be completed. Users can update indicator databases separately before scanning. ...
    Downloads: 58 This Week
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  • 3
    AUR Malware Check

    AUR Malware Check

    Detection tools for the June 2026 atomic-lockfile AUR supply-chain

    AUR Malware Check is a community repository for detecting exposure to the June 2026 atomic-lockfile supply-chain attack against the Arch User Repository. It collects scattered indicators, affected package lists, and detection scripts into one place for easier review and contribution. The project helps users compare installed AUR packages against known compromised package lists. It also includes checks for related package-manager cache artifacts and supports broader historical scans through pacman logs. The repository provides shell-based tooling, a Python 3.14+ implementation, consolidated indicators, source notes, and testable detection resources. ...
    Downloads: 1 This Week
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  • 4
    Sov.ai

    Sov.ai

    A curated list of practical financial machine learning tools and apps

    ...Dedicated sections cover supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and time-series analysis. Entries include descriptions, popularity data, maintenance indicators, and editorial ratings to help readers compare resources. The main README highlights top-ranked items, while the wiki contains the larger catalogue. Repository and link status information is updated automatically as the collection changes. It serves as a discovery index for researchers, students, and practitioners rather than an executable finance library.
    Downloads: 0 This Week
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    AIMr

    AIMr

    The best AI Aimbot for Fortnite, Valorant, CS2, R6, COD, Apex, & more

    ...The software includes various aiming enhancements, such as recoil control, silent aim, and prediction capabilities, aimed at making gameplay smoother and more competitive. AIMr also provides visual customization options like field-of-view displays and detection indicators, allowing players to tailor their interface. The system is compatible with games that use human-shaped models, and although it functions effectively out of the box, optimizing it with CUDA-accelerated OpenCV is recommended for maximum performance.
    Downloads: 229 This Week
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  • 6
    Harpoon

    Harpoon

    Command line OSINT and threat intelligence automation tool

    ...Harpoon integrates with numerous security and data services such as Shodan, VirusTotal, AlienVault OTX, and many other intelligence providers to retrieve information about domains, IP addresses, emails, and other indicators. Many commands rely on API keys that can be configured through a central configuration file, allowing users to connect their own intelligence accounts and data sources.
    Downloads: 4 This Week
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  • 7
    Nugget

    Nugget

    Unlock the fullest potential of your device

    Nugget is a system customization toolkit designed to unlock hidden capabilities and advanced configuration options on supported devices, particularly within Apple ecosystems. It provides users with the ability to modify system-level settings that are typically restricted, such as status bar elements, lock screen behavior, and system daemons. The tool includes features for creating animated wallpapers, editing system UI elements, and enabling diagnostic or developer-oriented modes that are...
    Downloads: 73 This Week
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  • 8
    pwnedOrNot

    pwnedOrNot

    Check breached emails and find exposed passwords from public dumps

    ...This two-phase approach allows investigators, security professionals, and researchers to assess the exposure level of compromised accounts using publicly accessible breach information. The tool displays useful breach details such as the name of the breach, the affected domain, the breach date, and several status indicators related to the authenticity and status of the breach. pwnedOrNot can also analyze domains to determine whether they have been involved in breaches and can list all breached domains available through the HIBP database.
    Downloads: 2 This Week
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  • 9
    AI-Trader

    AI-Trader

    100% Fully-Automated Agent-Native Trading

    AI-Trader is an open-source AI-powered quantitative trading framework designed to combine financial analysis, machine learning, and autonomous trading workflows into a unified research platform. The project integrates large language models, financial indicators, market analysis pipelines, and automated decision-making systems to support strategy generation and market prediction tasks. It is built to help researchers and developers experiment with AI-assisted trading strategies using historical and real-time financial data. The framework supports modular components for portfolio analysis, signal generation, market reasoning, and trading automation, allowing users to customize workflows for different trading styles and asset classes. ...
    Downloads: 5 This Week
    Last Update:
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  • 10
    Ollama-GUI

    Ollama-GUI

    A single-file tkinter-based Ollama GUI project

    ...The project focuses on usability, giving users a straightforward chat interface where they can send prompts, view responses, and manage conversations without needing to interact directly with APIs or CLI commands. It includes practical UI enhancements such as progress indicators, stop controls for generation, and contextual menus that streamline everyday workflows. Despite its simplicity, the tool still exposes important capabilities like configurable system prompts and interaction with multiple models served by Ollama.
    Downloads: 8 This Week
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  • 11
    Mobile Verification Toolkit

    Mobile Verification Toolkit

    Helps with conducting forensics of mobile devices

    ...This is not intended for end-user self-assessment. If you are concerned with the security of your device please seek expert assistance. 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.
    Downloads: 28 This Week
    Last Update:
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  • 12
    Claude SEO

    Claude SEO

    Universal SEO skill for Claude Code

    ...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. It can run full site audits, single-page reviews, schema validation, AI search readiness checks, sitemap workflows, local SEO analysis, and SEO reporting. Claude SEO is useful for agencies, in-house teams, and consultants who want repeatable SEO audits inside Claude Code.
    Downloads: 6 This Week
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  • 13
    QuantDinger

    QuantDinger

    AI-driven, local-first quantitative trading platform for research

    ...Traders and researchers can develop custom strategies in Python, run historical backtests, analyze performance, and connect to supported exchanges for live trading, making it suitable for equities, crypto, forex, and futures markets in a local environment. QuantDinger also incorporates optional AI features via external APIs, assisting in tasks like strategy ideation or interpreting market indicators, but strategy logic remains inspectable and transparent in code.
    Downloads: 5 This Week
    Last Update:
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  • 14
    Meridian

    Meridian

    Meridian is an MMM framework

    Meridian is a comprehensive, open source marketing mix modeling (MMM) framework developed by Google to help advertisers analyze and optimize the impact of their marketing investments. Built on Bayesian causal inference principles, Meridian enables organizations to evaluate how different marketing channels influence key performance indicators (KPIs) such as revenue or conversions while accounting for external factors like seasonality or economic trends. The framework provides a robust foundation for constructing in-house MMM pipelines capable of handling both national and geo-level data, with built-in support for calibration using experimental data or prior knowledge. ...
    Downloads: 4 This Week
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  • 15
    Stock prediction deep neural learning

    Stock prediction deep neural learning

    Predicting stock prices using a TensorFlow LSTM

    ...This makes them extremely useful for predicting stock prices. Predicting stock prices is a complex task, as it is influenced by various factors such as market trends, political events, and economic indicators. The fluctuations in stock prices are driven by the forces of supply and demand, which can be unpredictable at times. To identify patterns and trends in stock prices, deep learning techniques can be used for machine learning. Long short-term memory (LSTM) is a type of recurrent neural network (RNN) that is specifically designed for sequence modeling and prediction.
    Downloads: 4 This Week
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  • 16
    Claude Overlay

    Claude Overlay

    A floating, screen-aware Claude Code chat for Windows

    Claude Overlay is a Windows utility that places a screen-aware Claude Code assistant in a frameless, always-on-top chat window. It captures the active window or every monitor when a message is sent, letting Claude answer questions about visible documents, errors, dashboards, and applications. Because it runs the installed Claude Code CLI through the Agent SDK, it can also read files, execute commands, and edit open work when permissions allow. The interface streams responses, shows tool...
    Downloads: 2 This Week
    Last Update:
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  • 17
    OpenAI Sublime Text Plugin

    OpenAI Sublime Text Plugin

    First class Sublime Text AI assistant with gpt-5, Opus 4.6, Gemini 3

    ...The system includes project-specific chat histories and assistant configurations, helping users maintain context across different development tasks. It also supports streaming responses, proxy configuration, and detailed status indicators such as token usage and active model information.
    Downloads: 5 This Week
    Last Update:
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  • 18
    Claude Engineer v3

    Claude Engineer v3

    Claude Engineer is an interactive command-line interface (CLI)

    ...The project is designed to let Claude identify missing capabilities, generate new tools, load them dynamically, and use them in later conversations. It includes real-time token tracking, conversation state management, tool usage indicators, and structured configuration options. The web interface supports image upload, Markdown rendering, syntax highlighting, and responsive design. Overall, it is an experimental framework for developers who want an AI assistant that can expand its own toolset while helping with software tasks.
    Downloads: 1 This Week
    Last Update:
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  • 19
    uqlm

    uqlm

    Uncertainty Quantification for Language Models, is a Python package

    ...UQLM also supports ensemble strategies and model-as-judge approaches for evaluating responses. By combining multiple uncertainty metrics, the system provides more reliable indicators of when language model outputs may be unreliable.
    Downloads: 4 This Week
    Last Update:
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  • 20
    PyBroker

    PyBroker

    Algorithmic Trading in Python with Machine Learning

    Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance.
    Downloads: 2 This Week
    Last Update:
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  • 21
    YASB Reborn

    YASB Reborn

    A highly configurable Windows status bar written in Python

    ...The software provides widgets for monitoring CPU, GPU, memory, disk usage, network activity, and battery status. It also supports media playback controls, weather forecasts, notifications, and customizable clocks. Integration with GlazeWM enables workspace indicators and window management functionality. Users can personalize layouts, colors, typography, and widget behavior through configuration files and themes. YASB offers a flexible alternative to conventional Windows desktop panels for users seeking advanced customization and productivity tools.
    Downloads: 0 This Week
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  • 22
    FinGPT

    FinGPT

    Open-Source Financial Large Language Models

    FinGPT is an open-source, finance-specialized large language model framework that blends the capabilities of general LLMs with real-time financial data feeds, domain-specific knowledge bases, and task-oriented agents to support market analysis, research automation, and decision support. It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports.
    Downloads: 2 This Week
    Last Update:
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  • 23
    alive-progress

    alive-progress

    A new kind of Progress Bar, with real-time throughput, ETA

    alive-progress is an advanced Python progress bar library that introduces a highly animated and adaptive approach to tracking long-running tasks. Unlike traditional static progress indicators, it dynamically adjusts spinner speed and visual feedback based on actual throughput, giving users a more intuitive sense of activity. The library is designed with performance efficiency in mind, using multithreaded updates that minimize CPU overhead and terminal noise. It includes sophisticated ETA estimation powered by exponential smoothing algorithms, improving prediction accuracy for variable workloads. ...
    Downloads: 0 This Week
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  • 24
    OpenFreebuds

    OpenFreebuds

    Open source app for HUAWEI FreeBuds (Linux + Windows)

    OpenFreebuds is a free, open-source desktop application designed for managing compatible Huawei and Honor wireless headphones. It provides access to earbud settings on Windows and Linux without requiring the manufacturer's mobile application. Users can monitor battery levels for individual earbuds and charging cases through the system tray. The software supports switching between available active noise cancellation and transparency modes. It also provides controls for equalizer presets,...
    Downloads: 0 This Week
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  • 25
    FinRobot

    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. ...
    Downloads: 0 This Week
    Last Update:
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