量化研究-券商金工研报复现
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Updated
Aug 14, 2023 - Jupyter Notebook
量化研究-券商金工研报复现
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Find big moving stocks before they move using machine learning and anomaly detection
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
A STock Analysis and Research tool for terminal(cli) users. 技术控和命令行爱好者的 A 股辅助分析工具。
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
Simple to use interfaces for basic technical analysis of stocks.
多因子指数增强策略/多因子全流程实现
Teaches step-by-step to analysis stock data in python.
Regression, Scrapers, and Visualization
Indicator is a Golang module providing various stock technical analysis indicators for trading.
A C++ stock market algorithmic trading bot
📈 Python package for trend detection on stock time series data 📉
Stock analysis/prediction model using machine learning
Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
An intelligent recommender system for stock analyzing, predicting and trading
Financial data analytics with Python
Largest C# stock indicator library with over 750 to choose from and easiest to use with abilities such as making an indicator out of any other indicator or using any moving average with any indicator.
MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the SQLite data into pandas DataFrames (see Jupyter notebook for examples)
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