femtotrader / barchart-ondemand-client-python
☆14Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for barchart-ondemand-client-python
- Automatically generate Support & Resistance Lines on charts☆19Updated 8 years ago
- ☆34Updated 6 years ago
- ☆22Updated 6 years ago
- Asynchronous financial data management☆21Updated 7 years ago
- Automatically exported from code.google.com/p/quantandfinancial☆13Updated 8 years ago
- Library for simulation and analysis of vanilla and exotic options☆31Updated 4 years ago
- Using Q-learning to better navigate orderbooks.☆21Updated 6 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆42Updated last year
- Machine Learning for Quantitative Finance☆22Updated 6 years ago
- Market Data & Derivatives Pricing Tutorial based on Jupyter notebooks☆39Updated 4 years ago
- Simulated GBM using MC simulation, estimated option' Greeks using numerical methods such as finite difference, pathwise derivative estima…☆30Updated 4 years ago
- A Python toolkit for high-frequency trade research.☆39Updated 6 years ago
- The Thalesians' LaTeX library☆11Updated 9 months ago
- Layer to connect with market providers for data + trading from different algorithmic trading providers / cryptocurrencurrencies / forex /…☆14Updated last year
- Extensible Algo-Trading Python Package.☆21Updated last year
- Presentation for QuantCon 2016☆11Updated 8 years ago
- Walk through of Michael Halls-Moore's "Success Algorithmic Trading" Ebook☆17Updated 2 years ago
- Algorithmic Trading with Machine Learning☆12Updated 9 years ago
- Statistical arbitrage simulation, modeling and backtesting with Python.☆55Updated 8 years ago
- Jupyter (IPython) notebooks for exploring mixture models☆36Updated 7 years ago
- ☆10Updated 9 years ago
- A financial blotter for trading FX and Futures☆22Updated 7 years ago
- Development space for PhD in Finance☆33Updated 4 years ago
- finance☆43Updated 7 years ago
- Project includes scripts to set up a securities master database with stock and ETF timeseries data☆10Updated 8 years ago
- Code for getting implied volatility in Python☆24Updated 7 years ago
- Modeling the volatility of commodity futures Indices☆14Updated 7 years ago
- Deep learning framework for HFT algorithmic trading strategy development☆73Updated 3 years ago
- Event-driven Algorithmic Trading For Python☆25Updated 5 years ago