Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection
☆33Oct 12, 2020Updated 5 years ago
Alternatives and similar repositories for GA-TCN
Users that are interested in GA-TCN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Oct 24, 2025Updated 6 months ago
- I use a LSTM ( long short term memory model) model to predict the fluctuations of VIX index ( the index of 50ETF options), and trade t…☆14Apr 25, 2019Updated 7 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆114Feb 7, 2020Updated 6 years ago
- ☆17Jan 6, 2022Updated 4 years ago
- Forex Time-Series Prediction Using TCN☆46Oct 20, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- TCN-based sequence-to-sequence model for time series forecasting.☆33Jul 17, 2022Updated 3 years ago
- Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional …☆39Nov 30, 2023Updated 2 years ago
- This program focused on the core concepts and practice of quantitative investment (multi-factor combination analysis, technical analysis …☆48Feb 5, 2020Updated 6 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Jun 15, 2022Updated 3 years ago
- Using Reinforcement Learning with Deep Deterministic Policy Gradient for Portfolio Optimization☆10Dec 8, 2022Updated 3 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 5 years ago
- An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.☆78Jul 28, 2023Updated 2 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆29Oct 21, 2019Updated 6 years ago
- Project code for stock index forecasting☆11Jan 4, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 改写了gplearn源码，原有的gplearn会把数据转为numpy，丢失了datetime和stockcode的原始信息。很难做截面的因子ic、ir分析，所以改动了相应的源码，使之可以做因子的截面ic分析。另外增加了时序函数和并行化框架ray的支持。☆23Mar 20, 2024Updated 2 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆13May 30, 2021Updated 4 years ago
- ☆26Jan 18, 2018Updated 8 years ago
- Gathered, cleaned and transformed stock price, balance sheet, income and cash flow statements data for 629 companies. Built a neural netw…☆11Apr 28, 2020Updated 6 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Mar 12, 2021Updated 5 years ago
- Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆58Apr 8, 2019Updated 7 years ago
- A multi-factor stock selection model based on random forest with an average annualized yield of 33.74% from March 2014 to June 2017 when …☆17Feb 24, 2019Updated 7 years ago
- Using arduino to perform most functions of a basic BMS such as SOC, SOH estimation, passive cell balancing and remote monitoring of batte…☆10Dec 2, 2023Updated 2 years ago
- Vpin caculation and backtesting☆14Aug 16, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Battery model with simple resistance and thevenin first order equivalent circuit approach☆10Dec 5, 2021Updated 4 years ago
- Design of High-Order Portfolios via Mean, Variance, Skewness, and Kurtosis☆27Nov 29, 2022Updated 3 years ago
- ☆18Feb 7, 2021Updated 5 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
- ☆18Jan 7, 2019Updated 7 years ago
- Research project on applying deep reinforcement learning to perform financial market predictions. A competitive market maker.☆13Dec 8, 2022Updated 3 years ago
- Deep RL for portfolio management☆13Aug 31, 2018Updated 7 years ago
- ☆12Jun 12, 2025Updated 10 months ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆15Aug 9, 2021Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆38Jun 11, 2019Updated 6 years ago
- Automated trading bot with Functional GUI using an integrated deep learning model to predict stock prices and flag buy and sell periods.☆12Jul 10, 2021Updated 4 years ago
- Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.☆11Nov 11, 2020Updated 5 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Apr 4, 2019Updated 7 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Feb 8, 2018Updated 8 years ago
- Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models☆13Dec 7, 2018Updated 7 years ago
- https://arxiv.org/abs/2006.04992☆19Jun 17, 2021Updated 4 years ago