Implementation of AFML Book
☆22Jul 27, 2019Updated 6 years ago
Alternatives and similar repositories for adv_finance
Users that are interested in adv_finance are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Machine Learning for Asset Managers☆17Sep 28, 2020Updated 5 years ago
- Vpin caculation and backtesting☆14Aug 16, 2019Updated 6 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆13May 30, 2021Updated 5 years ago
- Code implementations of my studies on the book Advances in Financial Machine Learning☆12May 18, 2020Updated 6 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆11Apr 8, 2020Updated 6 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.
- Python Scripts for Backtesting SPX Put Strategies Using Black-Scholes Proxies☆14Feb 15, 2018Updated 8 years ago
- The goal of the project is to build algorithmic trading system.☆27Nov 6, 2020Updated 5 years ago
- ☆15Feb 7, 2021Updated 5 years ago
- Implementation of code snippets and exercises in the book Machine Learning for Asset Managers written by Prof. Marcos López de Prado.☆16Sep 10, 2020Updated 5 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆16Jul 20, 2021Updated 5 years ago
- This is a research about using ML or RL predictions for HFT Market Making. Backtest was build on Full order log☆31Sep 12, 2021Updated 4 years ago
- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators☆10Dec 21, 2019Updated 6 years ago
- ☆41Aug 1, 2021Updated 4 years ago
- Libraries to convert Korean lunar-calendar to Gregorian calendar written in python☆24Jun 15, 2026Updated last month
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Personal blog raw files.☆22Aug 16, 2023Updated 2 years ago
- Advances in Financial Machine Learning by Marcos Lopez De Prado☆54Apr 3, 2019Updated 7 years ago
- Predict scalar coupling in molecules☆15Mar 14, 2021Updated 5 years ago
- Advancing in Financial Machine Learning☆16Feb 27, 2020Updated 6 years ago
- Advances in Financial Machine Learning☆806Jan 11, 2023Updated 3 years ago
- A Python Implementation of Measures for Order Flow Risk, e.g. VPIN☆99Jan 1, 2021Updated 5 years ago
- Different trading strategies based on technical analysis using Ethereum/USD 5-minute bars data☆21May 5, 2021Updated 5 years ago
- Research Repo (Archive)☆78Oct 6, 2020Updated 5 years ago
- Implementation of Feature Saliency Hidden Markov Model (Adams, et al, 2016)☆13Dec 8, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆26Mar 8, 2019Updated 7 years ago
- Create structured financial data in the form of tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's A…☆11Jan 26, 2021Updated 5 years ago
- Implementing features from "Advances in Financial Machine Learning" by Marcos López del Prado in a financial algorithm using Enigma Catal…☆11Jul 13, 2020Updated 6 years ago
- ☆13Dec 29, 2018Updated 7 years ago
- Notes on Advances in Financial Machine Learning☆85Dec 16, 2018Updated 7 years ago
- Cointegration Bitcoin Backtester☆18Feb 19, 2019Updated 7 years ago
- Automated trading bot with Functional GUI using an integrated deep learning model to predict stock prices and flag buy and sell periods.☆13Jul 10, 2021Updated 5 years ago
- Event-driven Algorithmic Trading For Python☆25Apr 7, 2019Updated 7 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Phd repo☆18Jul 14, 2022Updated 4 years ago
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆14Dec 8, 2022Updated 3 years ago
- serving langgraph with fastapi in the backend and streamlit in the client☆11Sep 17, 2024Updated last year
- As described in Advances of Machine Learning by Marcos Prado.☆123Nov 17, 2022Updated 3 years ago
- Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market…☆16Aug 30, 2021Updated 4 years ago
- ☆15Jun 10, 2020Updated 6 years ago
- ☆23Aug 10, 2022Updated 3 years ago