Open Source Crypto Trading Bots - Page 2

Bot de trading para realizar ordenes de compras y ventas automáticas, conectandose por medio de la API de Binance.

Provide all the tools traders need, both professional and hobbyist alike, to create automated trading bots on the Coinbase Pro and supported digital asset exchanges. Note: Node 7.6 or above is required. The src/samples folder contains many working demo scripts showcasing different aspects of the toolkit, while the tutorials folder contains running demo programs to accompany the CBPTT documentation.

✅ Requirements: WINDOWS 10 🆓 FREEWARE 🟢 REAL-TIME MONITORING OF FUTURES LIQUIDATIONS ON THE BINANCE EXCHANGE. 🟢 МОНИТОРИНГ ЛИКВИДАЦИЙ ФЬЮЧЕРСОВ НА БИРЖЕ BINANCE В РЕЖИМЕ РЕАЛЬНОГО ВРЕМЕНИ. ⚫ Use a FILTER to monitor the coins you need. Input currency pairs from one or more into the filter. To monitor several coins, in the filter field input them one by one with a comma separator. FOR EXAMPLE: BTCUSDT,ETHUSDT,CfxUSdt You can enter both uppercase and lowercase letters. ⚫ The data is saved to a file (binance_liqquidation.csv) located in the same folder as the program. All currency pairs are written to the file. Using a filter does not affect writing to a file. ⚫ Input the amount of liquidations in dollars in the filter under the "F.A.Q" button. If the "ALL" value in the liquidation line exceeds the entered value, the liquidation line will be highlighted in a different color.

MarketStore is a database server optimized for financial time-series data. You can think of it as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability. It is designed from the ground up to address scalability issues around handling large amounts of financial market data used in algorithmic trading backtesting, charting, and analyzing price history with data spanning many years, and granularity down to tick-level for the all US equities or the exploding cryptocurrencies space. If you are struggling with managing lots of HDF5 files, this is perfect solution to your problem. The batteries are included with the basic install, you can start pulling crypto price data from GDAX and writing it to the db with a simple plugin configuration. MarketStore enables you to query DataFrame content over the network at as low latency as your local HDF5 files from disk.

Trading bot for https://wex.nz/ Торговый бот для биржи wex, есть аналогичные програмы для других бирж, их названия - simple yobit bot, simple bittrex bot, simple exmo bot, simple poloniex bot. Программа использует NET 4.0, хранит данные о тикерах в базе данных, должны быть достаточные права для записи данных в файл.

Superalgos is the most powerful and flexible market research and trading automation platform. The system leverages all the crucial elements that make up trading intelligence, integrating them in a single package. NO DOWNLOADS ON THIS SITE For the time being, you must download from GitHub. Check the README on the Files tab for a DOWNLOAD link.

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).

Trading the cryptocurrency market can be tricky – especially if you are a beginner. However, by using crypto signal application, no need for extensive research and analysis, allowing to streamline trading through daily and weekly trade period. If you like my work, feel free to support it! XMR: 47o95rpZcEAZzTMr52T7ye9ZBecPojT6wYQsgqgHggqwMx6jRTez7mhSosATYWZGQ1a3PMYFtoubYA5rWrCcTwvvULwfPWd

Exchange-core is an open-source market exchange core based on LMAX Disruptor, Eclipse Collections (ex. Goldman Sachs GS Collections), Real Logic Agrona, OpenHFT Chronicle-Wire, LZ4 Java, and Adaptive Radix Trees. Designed for high scalability and pauseless 24/7 operation under high-load conditions and providing low-latency responses. Single order book configuration is capable to process 5M operations per second on 10-years old hardware (Intel® Xeon® X5690) with moderate latency degradation. HFT optimized. Priority is a limit-order-move operation mean latency (currently ~0.5µs). Cancel operation takes ~0.7µs, placing new order ~1.0µs. Disk journaling and journal replay support, state snapshots (serialization) and restore operations, LZ4 compression. Lock-free and contention-free order matching and risk control algorithms. Matching engine and risk control operations are atomic and deterministic.

tribeca is a very low latency cryptocurrency market making trading bot with a full-featured web client, backtester, and supports direct connectivity to several cryptocoin exchanges. On modern hardware, it can react to market data by placing and canceling orders in under a millisecond. Runs on the latest node.js (v7.8 or greater). Persistence is achieved using MongoDB. Installation is recommended via Docker, but manual installation is also supported. Change the environment variables of the env file to match your desired configuration. Input your exchange connectivity information, account information, and MongoDB credentials. Please install docker for your system before proceeding. Requires at least Docker 1.7.1. Mac/Windows only. Ensure your target machine has node v7.8 (or greater) and MongoDB v3 or greater. Also, ensure Typescript 2.2, grunt, and, optionally, forever are installed (npm install -g grunt-cli typescript forever).