canl / algo-tradingLinks
Financial Analysis and Algorithmic Trading Strategies in Python
☆11Updated 2 years ago
Alternatives and similar repositories for algo-trading
Users that are interested in algo-trading are comparing it to the libraries listed below
Sorting:
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …☆10Updated 9 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- This project analysed financial data and designed trading strategies by machine learning models.☆10Updated 6 years ago
- Deep Reinforcement Learning applied to trading☆15Updated 6 years ago
- Using Q-learning to better navigate orderbooks.☆22Updated 7 years ago
- A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal☆17Updated 8 years ago
- tabular q learning for trading☆12Updated 6 years ago
- Code for researching and backtesting pairs trading☆24Updated 15 years ago
- Use Neural Network as a trading strategy model☆29Updated 7 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Updated 4 years ago
- Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen…☆25Updated 7 years ago
- Reinforcement learning environment for trading☆15Updated 7 years ago
- Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficu…☆15Updated 4 years ago
- ☆19Updated 4 years ago
- Multi Strategy Trading Algorithm☆48Updated 7 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆14Updated 3 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆23Updated 3 years ago
- 🏦 Collect quant trade strategy and deep learning trading implementation☆13Updated 7 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for …☆31Updated 4 years ago
- —Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)☆9Updated 7 years ago
- Another attempt to use Deep-Learning in the financial markets☆56Updated last year
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆11Updated 5 years ago
- Time-Series Momentum Strategies☆12Updated 6 years ago
- Advancing in Financial Machine Learning☆16Updated 5 years ago
- Machine Learning for Trading☆14Updated 6 years ago
- Event-driven Algorithmic Trading For Python☆25Updated 6 years ago
- ☆18Updated 6 years ago
- Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develo…☆11Updated 5 years ago