Financial Markets Data Visualization using Matplotlib
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Updated
Aug 8, 2024 - Python
Financial Markets Data Visualization using Matplotlib
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.
Gym environment which simulates intraday trading
Trading Suite
Converts any timeframe OHLC data points (e.g. crypto data) to higher timeframes
"Easy_klines" is a Python library that provides a solution to the limitations of exchange APIs in retrieving candlestick data more efficiently and quickly.
Python candlestick chart implementation implementation.
PyCandleStrat is a Python tool that analyses financial candlestick data to build optimal trading strategies. It allows the user to specify what candlestick patterns to look for, and will return the optimal strategy in terms of buying or selling the following day. The tool provides summary statistics on the returns from the strategy.
A basic script to fetch klines (the data to create candlesticks/ohlcvs) from Binance and store on Redis.
Read data and trade in stock markets
This is a python script that can fetch OHLCV data from Binance spot markets by drawing tokens from a CSV which specifies the ticker, the date you want to pull data from and the number of days worth of data you want.
Python Library for Crypto Asset OHLCV Datasets
Simple script that outputs an excel file with cryptocurrency data in the form of candles.
Check if the stock is suitable to be bought according to AdamKhoo's filter/rules
To summarize data for candlestick, numpy is great approach for aggregation.
Crypto candle scanner
How to get the Kline data for candlesticks from the Coinbase API v3: Pandas Data Frame edition
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