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Clairvoyant - Software designed to identify and monitor social/historical cues for short term stock movement
Using stock historical data, train a supervised learning algorithm with any combination of financial indicators. Rapidly backtest your model for accuracy and simulate investment portfolio performance.During the testing period, the model signals to buy or sell based on its prediction for price movement the following day. By putting your trading algorithm aside and testing for signal accuracy alone, you can rapidly build and test more reliable models.
machine-learning support-vector-machines portfolio-simulation backtesting-trading-strategies stock-marketalgotrading - Algorithmic trading framework for cryptocurrencies.
Algotrading Framework is a repository with tools to build and run working trading bots, backtest strategies, assist on trading, define simple stop losses and trailing stop losses, etc. This framework work with data directly from Crypto exchanges API, from a DB or CSV files. Can be used for data-driven and event-driven systems. Made exclusively for crypto markets for now and written in Python.
bot framework crypto trading realtime trading-bot trading-api cryptocurrency algotrading trading-algorithms cryptocurrencies hft hft-trading algorithmic-trading trading-simulator backtesting-trading-strategies backtest high-frequency-trading cryptocurrency-exchanges crypto-algotradingDayTradeScanner - Day trade scanner & backtester which scans 5 minute charts for day trade signals
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cryptocurrency scanner daytrading trading-bot backtesting backtesting-trading-strategies backtestercrypto-algotrading - Algorithmic trading framework for cryptocurrencies.
Crypto AlgoTrading Framework is a repository with tools to build and run working trading bots, backtest strategies, assist on trading, define simple stop losses and trailing stop losses, etc. This framework work with data directly from Crypto exchanges API, from a DB or csv files. Can be used for data-driven and event-driven systems. Made exclusively for crypto markets for now and written in Python. In realtime, Trading Bot operates in real time, with live data from exchanges APIs. It doesn't need pre stored data or DB to work. In this mode, bot can trade real money, simulate or alert user when is time to buy or sell, based on entry and exit strategies defined by user. Can also simulate user's strategies and present the results in real time.
crypto cryptocurrency cryptocurrencies cryptocurrency-exchanges algorithmic-trading algotrading framework hft hft-trading bot backtest backtesting-trading-strategies backtesting-frameworks realtime trading trading-bot trading-algorithms trading-simulator trading-apiGekko-BacktestTool - Batch backtest, import and strategy params optimalization for Gekko Trading Bot
CLI tool that enhances the features of Gekko's Trading Bot. The tool performs a test with multiple pairs on a single run. Suppose you have a strategy that you want to test on more currency pairs. You enter all the pairs on which you want to test the strategy for the BacktestTool's configuration file. You start the application and everything happens automatically. You are just waiting for the results that appear on the screen. You will see how your strategy falls on other pairs, where it works the best, and where the worst. More detailed data is available in the .CSV file, which you can open in a spreadsheet or text editor. You can do the same with many strategies and CandleSize values. You can test all your strategies on eg BTC-USD pair and compare results, which will allow you to choose the best strategy you will use in live trade. The installation tutorial by bald123 can be found in the Wiki: Docker installation.
gekko backtesting-trading-strategies gekko-backtesttool backtest trading-strategies backtesting backtester trading-bot trading cryptocurrency cryptocurrencies crypto cryptocoins bitcoin bitcoinsGekko-Datasets - Gekko Trading Bot dataset dumps
Ready to use Gekko trading bot SQLite dump files with history use to do backtests. Just copy downloaded file to the Gekko's history directory and you get for example: full history of Binance BTC pairs. The data is systematized in two ways: in order to improve Gekko's performance, full history data is divided into separate files sorted by exchange and currency pairs. Each database file contains all possible assets from a given exchange-currency. Second option: data for the last days (7, 14, 30, 60) have all possible currencies and assets from a given exchange in one db file.
gekko gekko-datasets datasets trading-datasets trading-bot backtest backtesting backtesting-trading-strategies backtester cryptocurrency cryptocurrencies crypto cryptocurrency-exchanges cryptocoins ohlcv candlesticks candlestick historical-data historical-cryptocurrency-prices historical-pricesopentrade - An open source OEMS, and intraday algorithmic trading platform in modern C++ for professional quant
OpenTrade is an open source OEMS, and algorithmic trading platform, designed for simplicity, flexibility and performance. we prepared Dockfile-dev for you.
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