jingmouren Goto Github PK
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Brings SQL and AI together.
Sequential Random Embedding for High-Dimensional Derivative-Free Optimization
A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics
SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
A Survey on Self-Supervised Learning
stackoverflow 上对 C/C++ 问题的整理、总结和翻译。
A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.
a light-weighted, integrated trading/backtesting system/platform(综合量化交易回测系统/平台)
本仓库为公众号FinHack炼金术《从零开始卷量化》系列文章示例代码,带你零基础入门量化交易!
State-of-the-art performance in quantitative trading domain
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
A script that can allow you to design your own stock trading algorithm in an attempt to beat the market.
威廉·欧奈尔的CANSLIM
Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets
Master's Project
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
Here we import S&P500 companies' data and apply ML techniques to predict whether to hold/buy/sell certain stocks
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
A novel stock market trend forecasting system using fuzzy logic
This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
Stock Prediction with XGBoost: A Technical Indicators' approach
This project is a working Stock Price predictor . The user can give it any company's stock from any Index like NASDAQ, NSE,etc. It can be used on any type of market like Stock(Equity), FX (Currency Exchange), FNO (Futures n Options), etc. Be careful to change the READ_CSV line according to your Dataset and add columns if not added but removing "USE_COLS"and replacing it with a list of names of your columns like LIST=["Date","Time","Open", "High"...and so on] as"NAMES=LIST". I am open to changes and suggestions. If there is a query kindly add it in the issues section, I will try my best to help you.Stock traders mainly use three indicators for prediction: OHLC average (average of Open, High, Low and Closing Prices), HLC average (average of High, Low and Closing Prices) and Closing price, In this project, OHLC average has been used.
A practice project for machine learning and stop price prediction
This is a basic LSTM application on stock (securities) market. The project uses Keras+ Tensorflow.
stock,股票系统。使用python进行开发。
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.