molson194 / LSTM-Stock-PredictionLinks
Day-Trading algorithm using LSTM to predict intraday stock movement
☆21Updated 6 years ago
Alternatives and similar repositories for LSTM-Stock-Prediction
Users that are interested in LSTM-Stock-Prediction are comparing it to the libraries listed below
Sorting:
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆46Updated 5 years ago
- Implementation of algorithmic trading using reinforcement learning.☆29Updated 4 years ago
- Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | …☆57Updated 3 years ago
- A Collection of public tutorials published in the qubitquants.pro blog☆69Updated 2 years ago
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆60Updated 5 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆64Updated 2 years ago
- These code have the objetive to calculate all the greeks in a real option contract ( using the Black&Scholes model), greeks like Delta,Th…☆16Updated 3 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆13Updated 3 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- Repository containing code for article: Quantconnect – A Complete Guide on https://algotrading101.com/☆17Updated 4 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆34Updated 6 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆47Updated 4 years ago
- ☆49Updated 8 years ago
- stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.☆37Updated last year
- Tools for stock options trading: finding best cash covered put and covered call to see, find best call to buy, etc. Keywords: Implied Vo…☆42Updated 2 months ago
- Quantitative Finance using python - Derivatives Pricing☆44Updated 7 years ago
- ☆26Updated 2 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆33Updated 6 years ago
- Trend Prediction for High Frequency Trading☆41Updated 2 years ago
- Tool that fetches company data, statistics, and financials for valuation and analysis, and then performs automated valuation analysis.☆24Updated 4 years ago
- High Frequency Trading Strategies☆45Updated 7 years ago
- Different quantitative trading models research☆52Updated 5 months ago
- Algorithmic Portfolio Hedging. Black-Scholes Pricing for Dynamic Hedges to produce a Dynamic multi-asset Portfolio Hedging with the usage…☆52Updated 4 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆47Updated 4 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 3 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆64Updated last year
- Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …☆26Updated last year
- MIT Trading Competition algorithmic trading of options and securities☆42Updated 6 years ago
- ☆74Updated 11 months ago
- A low frequency statistical arbitrage strategy☆20Updated 6 years ago