overfittingstudyroom Goto Github PK
Type: Organization
Type: Organization
一个开源的 HTML5 期货行情交易终端
Tutorials for SimFin - Simple financial data for Python
Simple Binary Encoding (SBE) - High Performance Message Codec
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
A unified framework for machine learning with time series
Anomaly detection
Fastest RPC in the west
GPU-accelerated Factors analysis library and Backtester
Speedb is a library that provides an embedded, persistent key-value store.
High performance, low latency, lightweight enterprise-level RPC system. Supports Baidu bRPC, Tencent tRPC, thrift protocols.
An open source data gateway
Lightweight thread library for C/C++ coroutine (similar to goroutine), for high performance network servers.
Forecasting at scale using statistical models.
Generate realizations of stochastic processes in python.
Regression, Scrapers, and Visualization
Simple to use interfaces for basic technical analysis of stocks.
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Day trades stocks in Python.
A stock trading bot that uses machine learning to make price predictions.
股票操盘手
股票实盘操作训练代码及记录
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Stock Price Prediction using Machine Learning Techniques
Programs for stock prediction and evaluation
This tool should help discover different patterns based on similarity measures in historical (financial) data
Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
Small package that helps to find support and resistance levels and plot them on chart
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.