jamesdellinger / ai_for_trading_nanodegree_breakout_strategy_project
Creating and backtesting a breakout trading signal. For Udacity's AI for Trading Nanodegree.
☆10Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for ai_for_trading_nanodegree_breakout_strategy_project
- Modeling a multi-alpha factor stock portfolio. For Udacity's AI for Trading Nanodegree.☆18Updated 6 years ago
- ☆47Updated 7 years ago
- Some notebooks with powerful trading strategies.☆79Updated 3 years ago
- A pairs trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions. This strategy is cate…☆21Updated 3 years ago
- Example of order book modeling.☆57Updated 5 years ago
- Different quantitative trading models research☆52Updated 2 years ago
- Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …☆24Updated 6 months ago
- PutPremiumProcessor is a Python option screener with a custom formula to score options based on their risk to reward. I created this to f…☆19Updated last year
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆55Updated 5 years ago
- If you are professionals, retailers or even organisms trading on a financial market, you know that data given on online platforms is not …☆33Updated 9 years ago
- Dispersion Trading using Options☆26Updated 7 years ago
- Algorithmic trading and backtests using backtrader☆13Updated 2 years ago
- Trend Prediction for High Frequency Trading☆38Updated last year
- Day-Trading algorithm using LSTM to predict intraday stock movement☆21Updated 5 years ago
- In this work an application of the Triple-Barrier Method and Meta-Labeling techniques is explored with XGBoost for the creation of a sent…☆19Updated 8 months ago
- ☆23Updated last year
- Implementation of algorithmic trading using reinforcement learning.☆25Updated 4 years ago
- 🤖💹 algorithmic trading strategy built backtested using backtrader and python, optimizing risk-adjusted returns with a bollinger mean-re…☆13Updated 4 years ago
- Delta hedging under SABR model☆19Updated 6 months ago
- Dynamic algorithmic trading systems in Python using Interactive Broker's Python API☆19Updated 3 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 …☆56Updated 4 years ago
- Fullstack Trading Strategies Dashboard. Backend: Python with FastAPI calling Alpaca Markets Paper Trading, Oanda FX, CoinGecko and Alpha …☆13Updated last year
- Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression☆14Updated last year
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago
- Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. G…☆59Updated 4 years ago
- Deep Learning – Artificial Neural Network Using TensorFlow In Python☆39Updated 4 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…☆15Updated 3 years ago
- This is Algo trading written in Python☆22Updated 3 years ago
- MIT Trading Competition algorithmic trading of options and securities☆41Updated 5 years ago
- Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms☆24Updated 6 years ago