A curated list of practical financial machine learning tools and applications.
A curated list of practical financial machine learning tools and applications.
We're seeking to collaborate with motivated, independent PhD graduates or doctoral students on approximately seven new projects in 2024. If you’re interested in contributing to cutting-edge investment insights and data analysis, please get in touch! This could be in colaboration with a university or as independent study.
Sov.ai is at the forefront of integrating advanced machine learning techniques with financial data analysis to revolutionize investment strategies. We are working with 3 of the top 10 quantitative hedge funds, and with many mid-sized and boutique firms.
Our platform leverages diverse data sources and innovative algorithms to deliver actionable insights that drive smarter investment decisions.
By joining Sov.ai, you'll be part of a dynamic research team dedicated to pushing the boundaries of what's possible in finance through technology. Before expressing your interest, please be aware that the research will be predominantly challenging and experimental in nature.
We offer a wide range of projects that cater to various interests and expertise within machine learning and finance. Some of the exciting recent projects include:
Please visit docs.sov.ai for more information on public projects that have made it into the subscription product. If you already have a corporate sponsor, we are also happy to work with them.
If you’re excited about leveraging your expertise in machine learning and finance to drive impactful research and projects, we’d love to hear from you! Please reach out to us at [email protected] with your resume and a brief description of your research interests.
Join us in shaping the future of investment insights and making a meaningful impact in the world of finance!
It is our firehose of daily research, serving as an internal knowledge base and client resource while also acting as a marketing channel to showcase our expertise and attract potential clients in the machine learning and quantitative finance space.
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| FinRL-Library | started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and gym use pyfolio for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading | 2020-07-26 13:18:16 | 2024-09-28 02:56:03 | 9697.0 | :heavy_check_mark: | :star:x5 |
| Stock-Prediction-Models | very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using BERT) | 2017-12-18 10:49:59 | 2021-01-05 10:31:50 | 7924.0 | :heavy_multiplication_x: | :star:x5 |
| AI Trading | AI to predict stock market movements. | 2019-01-09 08:02:47 | 2019-02-11 16:32:47 | 4094.0 | :heavy_multiplication_x: | :star:x5 |
| Deep Learning IV | Bulbea: Deep Learning based Python Library. | 2017-03-09 06:11:06 | 2017-03-19 07:42:49 | 2032.0 | :heavy_multiplication_x: | :star:x5 |
| RLTrader | predecessor to tensortrade uses open api gym and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using Optuna etc. | 2019-04-27 18:35:15 | 2019-10-17 16:25:49 | 1731.0 | :heavy_multiplication_x: | :star:x5 |
| Deep Learning III | Algorithmic trading with deep learning experiments. | 2016-06-18 18:23:06 | 2018-08-07 15:24:45 | 1429.0 | :heavy_multiplication_x: | :star:x5 |
| Personae | implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from rqalpha which is a python backtest engine and have a nice docker image to run training/testing | 2018-03-10 11:22:00 | 2018-09-02 17:21:38 | 1340.0 | :heavy_multiplication_x: | :star:x5 |
| RL Trading | A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. |
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