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51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
learn in datamining
Using Supervised machine learning methods (Decision Tree, Boosting, KNN, ANN, SVM) to trade stocks
Machine Learning for Quantitative Finance
The project attempts to capitalize on stock selection strategies generated by machine learning learners and then test the strategy. The use of mathematical models to replace the traditional quantitative trading main point of view, based on the strategy of computer technology, but it is still rare, the application of machine learning in the field of quantitative transactions. In hence, this project is also an exploration in this area. Now, the machine learning process, there will always be good results, the test of future investment, there is no such a satisfactory result.
Use Neural Network as a trading strategy model
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
This is a basic stock market predictor built using artificial neural network and implemented in Python.
backtesting trading strategy in python
Python Data Science Handbook: full text in Jupyter Notebooks
A set of functions for statistical stock market graphing and analysis using time series analysis - to calculate moving averages, trading strategies using moving averages, formulation of exit strategies, and strategy evaluation using backtesting - primarily using quandl, pandas, numpy, and matplotlib. Examples generalized from CS5160 Introduction to Data Science at University of Utah. Code written is intended solely for fun and educational purposes.
Stock price prediction with recurrent neural network. The data is from the Chinese stock.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.