Showing 10 open source projects for "data analysis"

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  • 1
    Freqtrade

    Freqtrade

    Free, open source crypto trading bot

    Freqtrade is a free and open-source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram or WebUI. It contains backtesting, plotting, and money management tools as well as strategy optimization by machine learning. Always start by running a trading bot in Dry-run and do not engage money before you understand how it works and what profit/loss you should expect. We strongly recommend you have basic coding skills and Python...
    Downloads: 5 This Week
    Last Update:
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  • 2
    PowerTrader_AI

    PowerTrader_AI

    Fully automated crypto trading powered by a custom price prediction AI

    PowerTrader_AI is a fully open-source, automated cryptocurrency trading bot that combines a custom price prediction AI with a structured and tiered dollar-cost averaging (DCA) strategy to make real trading decisions on behalf of users. It continuously analyzes market data to forecast high and low price levels across multiple timeframes, using those predictions to determine when to open, scale into, or close positions automatically, which aims to take emotion out of trading and enforce...
    Downloads: 1 This Week
    Last Update:
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  • 3
    crypto scanner v6.0.0

    crypto scanner v6.0.0

    AI‑powered signals, risk analysis, and automated trading bot

    Advanced Crypto Scanner v6.0.0 All‑in‑one Windows crypto tool – real‑time data, signals, risk analysis, AI learning, and automated trading bot. Live Data: Prices, volume, market cap (CoinMarketCap/CoinGecko), BTC dominance, market sentiment. Smart Signals: Basic (price/volume) & Advanced (RSI, MACD, Bollinger, Stochastic, ADX) with confirmation gate. Risk Rating: Low/Medium/High based on liquidity, volatility, category, technicals.
    Downloads: 2 This Week
    Last Update:
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  • 4
    SolanaMevBotGui

    SolanaMevBotGui

    Solana Trade Bot is an open-source tool for automated trading on the

    This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced algorithms, it can analyze complex data, learn, and provide intuitive solutions. Developed in popular languages like Python, it is fully customizable and open for community contributions and improvements.
    Downloads: 0 This Week
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  • 5
    JesseAi

    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...
    Downloads: 2 This Week
    Last Update:
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  • 6
    BitcoinExchangeFH

    BitcoinExchangeFH

    Cryptocurrency exchange market data feed handler

    BitcoinExchangeFH is a slim application to record the price depth and trades in various exchanges. You can set it up quickly and record all the exchange data in a few minutes! If the exchange is not supported with the WebSocket API feed, it will automatically fall into using its REST API feed. The subscription section specifies the exchange and instruments to subscribe. After receiving the order book or trade update, each handler is updated. For example, for SQL database handler, it is...
    Downloads: 0 This Week
    Last Update:
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  • 7
    Smart Contract Sanctuary

    Smart Contract Sanctuary

    A home for ethereum smart contracts

    ...Contains smart contract sources for various networks, grouped by the first two chars of the contract address. A scriptable semantic grep utility for solidity (crunch numbers, find specific contracts, extract data) Semgrep is a fast, open-source, static analysis tool for finding bugs and enforcing code standards at editor, commit, and CI time, and now supports Solidity! A powerful online code search service that can be used to search the sanctuary without cloning.
    Downloads: 1 This Week
    Last Update:
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  • 8
    abu

    abu

    Abu quantitative trading system (stocks, options, futures, bitcoin)

    Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0.
    Downloads: 0 This Week
    Last Update:
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  • 9
    fooltrader

    fooltrader

    Quant framework for stock

    Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. ...
    Downloads: 0 This Week
    Last Update:
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  • 10

    Babaika Strategy Lab

    Tools for testing if a trading strategy is real or just overfitted

    Choose an investment approach, test it with virtual trades on historical data, explore returns and risks, then use the Live Scanner and AI analysis to review current candidates. Start with simple presets or fine-tune dozens of advanced settings. Test your investment ideas based on historical stocks, crypto and options. Main capabilities include: * Simple and Advanced research modes; * chronological strategy testing; * automatic parameter selection using earlier data only; * comparison with a market benchmark; * commissions, slippage, and execution-cost assumptions; * position-sizing and risk-management controls; * trade, sector, drawdown, and rolling-period analysis; * Monte Carlo risk analysis; * saved experiments and reproducible configurations; * virtual portfolios; * an end-of-day Live Scanner; * AI-assisted news and candidate analysis. ...
    Downloads: 0 This Week
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