Quantitative analysis of fundamentals in quarterly reports by Machine Learning
☆23Feb 14, 2020Updated 6 years ago
Alternatives and similar repositories for Quantitative-Analysis-of-Fundamentals-by-Machine-Learning
Users that are interested in Quantitative-Analysis-of-Fundamentals-by-Machine-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆29Oct 21, 2019Updated 6 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12May 30, 2021Updated 4 years ago
- 基于机器学习的多因子研究框架☆14Jun 22, 2020Updated 5 years ago
- ctpbee里面实现的指标库, 能让你快速实现指标的计算和拿到值☆15Aug 31, 2020Updated 5 years ago
- ☆13Jul 22, 2018Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 量化FOF框架☆13Mar 8, 2019Updated 7 years ago
- select stock automatically, trade manually☆12Jul 26, 2020Updated 5 years ago
- HDip Data Analytics 2019 Fundamentals of Data Analysis Assessment☆10Nov 25, 2019Updated 6 years ago
- Fast basic data structures for R☆11Apr 6, 2015Updated 11 years ago
- A Hidden Markov Chain Model to train Bank Nifty Futures Market Data and predict Long/Short Signals☆16Jun 8, 2017Updated 8 years ago
- Client app for the project Fundamental analysis using historical data☆17Apr 10, 2026Updated last week
- This is a work-in-progress book for beginners on commodity price analysis from a fundamental perspective.☆15Mar 31, 2026Updated 2 weeks ago
- Algorithmic trading and backtests using backtrader☆13Nov 22, 2022Updated 3 years ago
- ECON457 2018 Applied Computational Economics and Finance☆27Aug 26, 2017Updated 8 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Katalog kurikulum FE, FHISIP, FST, dan FKIP Universitas Terbuka.☆11Mar 10, 2021Updated 5 years ago
- By applying various machine-learning Techniques and creating Quantopian Tradin Stratigies☆19Dec 17, 2022Updated 3 years ago
- Automatic multi-parameter design optimization for superconducting quantum devices☆16Updated this week
- Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go☆77Mar 8, 2021Updated 5 years ago
- This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in Chi…☆92Jul 1, 2021Updated 4 years ago
- Stock Fundamental Analysis using Machine Learning Classification Models☆106Oct 19, 2021Updated 4 years ago
- Crypto-Options Volatility Surface Calibration and Arbitrage☆17Dec 26, 2022Updated 3 years ago
- Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial …☆73Oct 11, 2022Updated 3 years ago
- ☆16Oct 6, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Apr 27, 2017Updated 8 years ago
- Open souce quantitative finance models and algorithms with tutorials☆57Apr 8, 2021Updated 5 years ago
- Dataset and codes for SEntFiN☆10May 31, 2023Updated 2 years ago
- Trend Prediction for High Frequency Trading☆43Dec 8, 2022Updated 3 years ago
- FinCUGE Instruction dataset☆15Apr 29, 2023Updated 2 years ago
- A framework for historical volatility estimation and analysis.☆36Jun 14, 2020Updated 5 years ago
- Using weighted average formula, profit and loss is calculated in Bank Nifty Data of 5 min☆11Sep 30, 2021Updated 4 years ago
- 券商金工研报复现☆13Nov 4, 2020Updated 5 years ago
- Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper☆15Jan 22, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Case Studies in Finance: Stock Price Valuation using Black-Scholes using Brownian Motions, Investment Project comparing Stocks and Bonds,…☆19Feb 26, 2021Updated 5 years ago
- ☆12Mar 21, 2026Updated 3 weeks ago
- ☆25Apr 23, 2020Updated 5 years ago
- This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock tr…☆31Feb 9, 2021Updated 5 years ago
- 爬取同花顺的股票（A股）信息☆10Nov 5, 2021Updated 4 years ago
- A public available dataset for using market sentiment for financial asset allocation.☆23Feb 17, 2019Updated 7 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆24Dec 12, 2021Updated 4 years ago