Financial Markets Data Visualization using Matplotlib
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Updated
Jun 1, 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.
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 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.
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
Python Library for Crypto Asset OHLCV Datasets
To summarize data for candlestick, numpy is great approach for aggregation.
Desktop application built in Python with API connection to the exchange app. Basic strategies implemented based on EMA-s, MACD and candlestick patterns.
输入一个Tick时间,输出不同周期的K线结束时间(A股 东方财富期货 数字货币)
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