Tradingbot for Robinhood with Jupyter notebook for analysis
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Updated
Oct 13, 2017 - Jupyter Notebook
Tradingbot for Robinhood with Jupyter notebook for analysis
Executable notebooks of market analysis.
Study notebooks made for learning machine learning for the Hawk team
Using Pandas dataframes and Quantopian research platform, this notebook analyzes equity price performance after sharp price spike/drop.
Jupyter Notebooks Collection for Learning Time Series Models
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Be systematically sort out my relevant knowledge of Matlab
量化金融计算,Jupyter notebook,中文。
Some notebooks with powerful trading strategies.
zipline-broker Examples. Full notebooks plus python code for long term investment strategies using zipline based tools.
An example of aggregating OHLC stock data using Data-Forge Notebook
Our goal is to see how much investment potential these ETFs have based on key risk-management metrics: the daily returns, standard deviations, Sharpe ratios, and betas. We will be working on a Jupyter Notebook and visualizing all of our data using hvplot to create interactive visualizations as well as running an MC Simulation at the end.
This notebook provides some skills to perform financial analysis on economical data.
Trading strategy exploration with jupyter-notebook
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
Notebooks in financial mathematics. Ranging from risk management to portfolio management and stochastic processes for financial markets.
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
Analyze historical market data using Jupyter Notebooks
Light EDA on 2023 SPX500 and its components.
🧮 A deeper look into the Kelly Criterion
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