| data_index = data_index[(data_index['Ticker'].isin(stock_list)) & (data_index['Date'] >= '2020-04-03') ] | |
| data_index_pivot = data_index.pivot(columns='Ticker', index='Date', values='Adj_Close') | |
| #calculate the log returns | |
| log_ret = np.log(data_index_pivot/data_index_pivot.shift(1)) | |
| #covariance matrix. | |
| cov_matrix = log_ret.cov() * 252 | |
| print(cov_matrix) | |
| # Simulating 5000 portfolios | |
| num_port = 5000 |
| recent_data = data_index_pivot.copy() | |
| corr_matrix = recent_data.corr() | |
| f, ax = plt.subplots(figsize =(18, 15)) | |
| sns.heatmap(corr_matrix, ax = ax, cmap ="coolwarm", linewidths = 0.1, square=True, vmin=-1, vmax=1, center= 0) |
The git command-line utility has plenty of inconsistencies http://steveko.wordpress.com/2012/02/24/10-things-i-hate-about-git/
A GUI like http://sourcetreeapp.com is often helpful, but staying on the command line usually quicker. This is a list of the commands I use most frequently, listed by funcional category:
git status list which (unstaged) files have changed