Showing 8 open source projects for "live-graph"

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  • 1
    Superalgos

    Superalgos

    Free, open-source crypto trading bot, automated bitcoin trading

    ...Once you install and launch the app, a series of interactive tutorials take you by the hand and walk you all around the system while you learn the basic skills required to use the interface, mine data, backtest strategies, and even run a live trading session.
    Downloads: 6 This Week
    Last Update:
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  • 2
    OctoBot

    OctoBot

    Cryptocurrency trading bot for TA, arbitrage and social trading

    OctoBot is a trading robot that is designed to be easy to use and infinitely customizable. OctoBot is built for people who don't have much time or do not easily trust crypto-world projects. Many trading automation tools exist but most of them are complicated to use, expensive, do not behave as intended, or are meant to be used by professional traders. Moreover, when a favorable trend is spotted, it can be difficult to maximize profit from it: trading takes a lot of time, and when it's done...
    Downloads: 6 This Week
    Last Update:
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  • 3
    ADAMANT Market-Making Software

    ADAMANT Market-Making Software

    Free self-hosted liquidity bot for token issuers

    Maintain order book depth, tighter spreads, price ranges, and live-like market activity on supported CEXs — without sending your tokens, funds, or API keys to a third-party market maker.
    Downloads: 1 This Week
    Last Update:
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  • 4
    JesseAi

    JesseAi

    Advanced AI-Powered Python Crypto Trading Bot 2026 - Free Backtesting

    ...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 support, and pro analytics. 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. ...
    Downloads: 2 This Week
    Last Update:
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  • 5
    Algobot

    Algobot

    Cryptocurrency trading bot with a graphical user interface

    ...Create graphs with real time data and/or moving averages. Run simulations with parameters configured. Run custom backtests with parameters configured. Run live bots with parameters configured. Telegram integration that allows users to trade or view statistics. Create custom, trailing, or limit stop losses.
    Downloads: 2 This Week
    Last Update:
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  • 6
    Gekko

    Gekko

    A bitcoin trading bot written in node

    ...Gekko makes it possible to create your own trading strategies using TA indicators. Once you created it you can use Gekko to backtest your strategy over historical market data or run against the live market (using either a paper trader or real trader - making it a trading bot).
    Downloads: 0 This Week
    Last Update:
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  • 7
    Catalyst

    Catalyst

    An Algorithmic Trading Library for Crypto-Assets in Python

    ...Users can express strategies in Python, run backtests against historical price data, and analyze performance through built-in metrics and analytics to evaluate profitability, risk, and behavior under different market conditions. Beyond backtesting, Catalyst was designed to support live trading on multiple crypto exchanges such as Binance, Bitfinex, Bittrex, and Poloniex, bridging simulation and production within the same framework. The library includes a rich set of examples, Docker and conda configurations, and integration points for community resources like forums and Discord for sharing strategies and troubleshooting.
    Downloads: 0 This Week
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  • 8
    LEAN

    LEAN

    Lean algorithmic trading engine by QuantConnect

    Automated accounting for splits, dividends, and corporate events like delistings and mergers. Avoid selection bias with dynamically generated assets. Create and select asset universes on proprietary data and indicators. Automatically track portfolio performance, profit and loss, and holdings across multiple asset classes and margin models in the same strategy. Trigger regular functions to occur at desired times, during market hours, on certain days of the week, or at specific times of day....
    Downloads: 3 This Week
    Last Update:
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