Retrieve all historical candlestick data from crypto exchange Binance and upload it to Kaggle.

Python tool to download Binance Candlestick (k-line) data from REST API

Download candlestick data fast & easy for analysis

PriceGenerator is the platform for generating prices similar to real stock prices, but you can control the statistics of their distribution. Use PriceGenerator to generate synthetic data to test your trading strategy.

🔌 Aggregate candlesticks from high frequency tick data from WebSockets

TKSBrokerAPI is the trading platform for automation and simplifying the implementation of trading scenarios, as well as working with Tinkoff Invest API server via the REST protocol. The TKSBrokerAPI platform may be used in two ways: from the console, it has a rich keys and commands, or you can use it as Python module.

📈 Download and aggregate candlesticks from high frequency tick data

Automate the detection of chart patterns

Classic Stock Charts in Python

This repository is for the code of paper "Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning: Learn to Understand Candlesticks"

This project aims at fetching exchange trade data from two popular cryptocurrencies, Monero and Bitcoin, and aggregating it in the OHLC format that is used to create candlesticks. The candlesticks created are saved in a local MySQL database.

Trading application which uses a broker API to predict the market flow and make automated transactions.

Plutus Eye project Is a Global Market prediction web API that aims to improve and automate analysis of the stock market price direction based on available historical data.

Ingest Binance trades into Clickhouse, using Vector, and aggregate them for visualization with Grafana

Python3 scripts to scrape historical price data (candlesticks) for cryptocurrency price pairs from various exchanges.

Simple candle stick collection script for crypto trades using the coinbase pro public api.

How to get the Kline data for candlesticks from the Coinbase API v3: Pandas Data Frame edition