sankethchebbi
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Feature Engineering and Feature Importance in Machine Learning for Financial Markets
An application of high quality and low quality momentum trading on the S&P500, using the IEX Cloud API.
Deep Reinforcement Learning Framework for Factor Investing
Goldman Sachs - Quantitative Strategies Research Notes
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
This project is about beating the market and debugging a myth: LSTM + Stock Market = $$$.
Embed an SQLite database in your PostgreSQL table. AKA multitenancy has been solved.
Documentation and code for Hack the MontyHome device for extended applications.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Research and Backtests I have been working on...enjoy
Research in investment finance with Python Notebooks
Get free NSE and BSE data(bhavcopy, derivatives), based on customizable index and date. Give it a star if you like it
Statistical Jump Models in Python, with scikit-learn-style APIs
A high-performance algorithmic trading platform and event-driven backtester
TradeAI: Empowering Algorithmic Trading with Deep Learning for Cryptocurrency Data. Explore the potential of deep learning in cryptocurrency trading through our full-stack algorithmic trading syste…
A collection of neobrutalism-styled Tailwind components.
Your Next SaaS Template or Boilerplate ! A magic trip start with `bun create saasfly` . The more stars, the more surprises
Franken UI is an HTML-first, open-source library of UI components that works as a standalone or as a Tailwind CSS plugin. It is compatible with UIkit 3. The design is influenced by shadcn/ui.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Quant/Algorithm trading resources with an emphasis on Machine Learning
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
🚀 Practical and document place for DevOps toolchain
1000+ DevOps Bash Scripts - AWS, GCP, Kubernetes, Docker, CI/CD, APIs, SQL, PostgreSQL, MySQL, Hive, Impala, Kafka, Hadoop, Jenkins, GitHub, GitLab, BitBucket, Azure DevOps, TeamCity, Spotify, MP3,…
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
A Library for Advanced Deep Time Series Models.