We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cost portfolio strategies. The learning algorithm is used to determine the relative population dynamics of technical trading strategies that can survive historical back-testing as well as form an overall aggregate…
☆11Apr 8, 2020Updated 6 years ago
Alternatives and similar repositories for Learning-Technical-Trading
Users that are interested in Learning-Technical-Trading are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Phd repo☆17Jul 14, 2022Updated 3 years ago
- Vpin caculation and backtesting☆14Aug 16, 2019Updated 6 years ago
- ☆11Nov 6, 2018Updated 7 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
- Order Book Imbalance trading strategy☆10Nov 21, 2022Updated 3 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.
- Backtest and run stock trading CFD strategies tick by tick☆13Mar 29, 2021Updated 5 years ago
- Bayer, Friz, Gulisashvili, Horvath, Stemper (2017). Short-time near-the-money skew in rough fractional volatility models.☆13Mar 23, 2017Updated 9 years ago
- ☆16Feb 7, 2021Updated 5 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Apr 2, 2018Updated 8 years ago
- Machine Learning for Trading☆14Jul 25, 2018Updated 7 years ago
- Computer Engineering Senior Project. Machine Learning High Frequency Stock Trading Algorithm on an FPGA☆16Dec 4, 2019Updated 6 years ago
- a day trading strategy based on lstm☆18Oct 10, 2018Updated 7 years ago
- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators☆10Dec 21, 2019Updated 6 years ago
- The code for Fuzzy Investment Counselor (FIC) and Markowitz portfolio theory for stock investment☆14Sep 2, 2020Updated 5 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.
- A python implementation of a local copy of a Binance Orderbook.☆17Jul 29, 2020Updated 5 years ago
- verify OrderBook Tick Data Trading Strategy on futures.☆16Mar 21, 2019Updated 7 years ago
- Channel break out strategy for High Frequency Trading.☆15Jun 26, 2018Updated 7 years ago
- ☆35May 27, 2020Updated 5 years ago
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Dec 11, 2022Updated 3 years ago
- Process tardis.dev cryptocurrency data, reconstructing the market depth and computing imbalance.☆20May 3, 2021Updated 4 years ago
- High Frequency Trading Strategy☆12Dec 20, 2018Updated 7 years ago
- Crawls iTunes-created iOS device backup directory and renames camera images/videos and SMS image/video attachments back to their original…☆14Jul 17, 2019Updated 6 years ago
- Back test and trade harmonic patterns on Deribit☆10Jan 20, 2020Updated 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.
- Crypto-Options Volatility Surface Calibration and Arbitrage☆17Dec 26, 2022Updated 3 years ago
- Market making strategies and scientific papers☆14Aug 20, 2023Updated 2 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆24Dec 12, 2021Updated 4 years ago
- Option Strategy for Futures☆18Jul 29, 2020Updated 5 years ago
- Fear and volatility in crypto markets☆14Dec 8, 2022Updated 3 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆44Feb 15, 2023Updated 3 years ago
- oTree app for financial market experiments with high frequency trading☆28Aug 28, 2023Updated 2 years ago
- High frequency trading algorithm for Bitmex☆22Jun 22, 2020Updated 5 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Jun 22, 2016Updated 9 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Limit Orderbook CNN model implementation for ETH-BTC (buy-low-sell-high indicator)☆17Mar 20, 2023Updated 3 years ago
- Multivariate time series representation learning (using bert-like model adapted for TS)☆17Aug 2, 2021Updated 4 years ago
- An automated and adjustable high frequency cryptocurrency trading bot that connects to the Binance exchange and takes advantage of price …☆34Mar 20, 2019Updated 7 years ago
- Implementation of AFML Book☆22Jul 27, 2019Updated 6 years ago
- Deep RL for portfolio management☆13Aug 31, 2018Updated 7 years ago
- This project is to explore high-frequency model and strategy. You will expect high-frequency features mining, ml/dl models, and hf tradin…☆22May 19, 2021Updated 4 years ago
- Trading Strategy on S&P500 with different method (Linear Regression, XGBOOST, LSTM, HMM☆10May 11, 2020Updated 5 years ago