Neural Networks and Digital Currency Quantitative Trading Series (2) - Intensive Learning and Training Bitcoin Trading Strategy 1. Introduction In

Application of Machine Learning Technology in Trading The inspiration of this article comes from my observation of some common warnings and traps afte

Preliminary Exploration of Python Crawler Application on FMZ Platform -- Crawling the Content of Binance Announcement Recently, I saw that there is no

High frequency backtesting system based on transaction by transaction and defects of K-line backtesting I released a backtesting engine in the article

Recently, I have made some analysis on the volatility of Bitcoin, which is wordy and spontaneous. So I simply share some of my understanding and code as fol

During the technical analysis of trading, traders analyze and study the stock price data as the data of normal distribution. However, the distribution of stock

Cryptocurrency Quantitative Trading for Beginners - Taking You Closer to Cryptocurrency Quantitative (3) Error message In the previous articles, we ha

Commodity futures CTP and cryptocurrency API exchange have significant differences. Familiar with cryptocurrency exchange programming trading doesn't mean fami

Summary The price is either up or down. In the long run, the probability of price rise and fall should be 50%, so to correctly predict the future price, yo

The support of market quotes data is indispensable when researching, designing and backtest trading strategies. It is not realistic to collect all the data fro

Supporting CSV format file import to provide custom data source Recently, a trader needs to use his own CSV format file as a data source for FMZ platform b

Summary In the previous section, we showed you how to read the strategy backtesting performance report by focusing on several important performance indicat