Open Source JavaScript Crypto Trading Bots

Automated Binance trading bot. Trade multiple cryptocurrencies. Buy low/sell high with Grid Trading. Integrated with TradingView technical analysis. This bot is using the concept of trailing buy/sell order which allows following the price fall/rise. Trailing Stop Orders About Trailing Stop Orders Concept you can find at Binance Official document. Place orders at a fixed value or percentage when the price changes. Using this feature you can buy at the lowest possible price when buying down and sell at the highest possible price when selling up. The bot supports multiple buy/sell orders based on the configuration. The bot is using MongoDB to provide a persistence database. However, it does not use the latest MongoDB to support Raspberry Pi 32bit. Used MongoDB version is 3.2.20, which is provided by apcheamitru. The bot is tested/working with Linux and Raspberry Pi 4 32bit. Other platforms are not tested.

QuantumBot is a trading automation tool designed for the Solana blockchain, utilizing platforms like Raydium, MOONSHOT, and PUMP.FUN. Developed by traders for traders, it aims to enhance trading strategies by automating various trading activities, thereby optimizing performance and efficiency.

Free, open-source crypto trading bot, automated bitcoin/cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments. Superalgos is not just another open-source project. We are an open and welcoming community nurtured and incentivized with the project's native Superalgos (SA) Token, building an open trading intelligence network. You will notice the difference as soon as you join the Telegram Community Group or the new Discord Server! Superalgos is an ever-growing ecosystem of tools and applications. 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.

Gekko is an open source platform for automating trading strategies over bitcoin markets. Define your own trading strategy and Gekko will take care of everything else. Gekko is free and 100% open source, you download and run the software on your own machine. Gekko only talks to the exchanges (if you want it too). We don't know anyhing about your strategies, usage, portfolio size or anything else (unless you tell us). Gekko supports 16 different exchanges (including Bitfinex, Bitstamp and Poloniex). Just tell Gekko which exchange you want to interact with and Gekko talks directly to the exchange. 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).

Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB. Fully-automated technical-analysis-based trading approach. Full support for Binance, Bitfinex, Bitstamp, Bittrex, CEX.IO, GDAX, Gemini, HitBTC, Kraken, Poloniexand TheRockTrading, work on further exchange support is ongoing. Plugin architecture for implementing exchange support, or writing new strategies. Simulator for backtesting strategies against historical data. "Paper" trading mode, operates on a simulated balance while watching the live market. Configurable sell stops, buy stops, and (trailing) profit stops. Flexible sampling period and trade frequency - averages 1-2 trades/day with 1h period, 15-50/day with 5m period. Crypto-currency is still an experiment, and therefore so is Zenbot. Meaning, both may fail at any time. Running a bot, and trading in general requires careful study of the risks and parameters involved. A wrong setting can cause you a major loss.

A cryptocurrency arbitrage opportunity calculator and trading bot. Over 800 currencies and 50 markets. In short, it collects JSON from multiple different cryptocurrency markets, goes through the results, and finds the highest and lowest price for each coin. The script will find the highest price (chbtc.com), and lowest price (Bittrex), and divide the two: 51.8/38.23 = ~1.35 (~35% profit margin) and then push these results to the browser. It will also find the next highest market pairs, e.g. chbtc / jubi is the second-highest pair and chbtc/Bittrex the third, jubi/Bittrex the fourth and so on until every possible combination has been computed. Currently you will have to add a market object with the correct settings in the array markets, situated in the settings.js file. I am updating the project every day and this will change soon. You can temporarily stop loading a market from the frontend, or remove the market by deleting the object in settings.js.

A javascript technical indicator written in typescript with pattern recognition right in the browser. Every indicator has a static method calculated which can be used to calculate the indicator without creating an object. Initialize the indicator with the available price value. Get results for initialized values. Use nextValue to get the next indicator values for further tick. This uses regular javascript numbers, so there can be rounding errors that are negligible for a technical indicators, you can set precision by using the below config. By default, there is no precision set. TechnicalIndicators depend on the canvas package, which requires some dependencies to be installed. Add tests for the indicator and make them pass. (It would be better if a sample of the stock charts excel is used for the test case.)

TradingVue.js was a hackable charting lib for traders. You could draw literally ANYTHING on top of candlestick charts. If you create trading software, this lib is probably for you. If you like to make custom indicators and think out of the box, this lib is most likely for you. And if you miss the usability of TradingView.com in other open-source libraries and can't stand it, you are definitely in the right place! The process of adding a new indicator is simple, first you define your own data format (should be timestamped though) and display settings. Customizable colors and fonts. Quite fast (works even with 3 mil candles). Scripts (make your own indicators). Simple API for making new overlays. Custom drawing tools. Non-time based charts (e.g. Renko).