bohmian commited on
Commit
d83e630
1 Parent(s): 55e240c

changed risk free rate

Browse files
Files changed (2) hide show
  1. app.py +1 -1
  2. app.py.bak +2 -2
app.py CHANGED
@@ -65,7 +65,7 @@ def output_results(start_date, end_date, tickers_string):
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  # Get optimized weights
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  ef = EfficientFrontier(mu, S)
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- ef.max_sharpe(risk_free_rate=0.02)
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  weights = ef.clean_weights()
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  expected_annual_return, annual_volatility, sharpe_ratio = ef.portfolio_performance()
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  # Get optimized weights
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  ef = EfficientFrontier(mu, S)
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+ ef.max_sharpe(risk_free_rate=0.04)
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  weights = ef.clean_weights()
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  expected_annual_return, annual_volatility, sharpe_ratio = ef.portfolio_performance()
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app.py.bak CHANGED
@@ -29,7 +29,7 @@ def plot_efficient_frontier_and_max_sharpe(mu, S):
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  ef_max_sharpe.max_sharpe(risk_free_rate=0.02)
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  ret_tangent, std_tangent, _ = ef_max_sharpe.portfolio_performance()
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  ax.scatter(std_tangent, ret_tangent, marker="*", s=100, c="r", label="Max Sharpe")
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- # Generate random portfolios
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  n_samples = 1000
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  w = np.random.dirichlet(np.ones(ef.n_assets), n_samples)
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  rets = w.dot(ef.expected_returns)
@@ -104,7 +104,7 @@ with gr.Blocks() as app:
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  btn = gr.Button("Get Optimized Portfolio")
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  with gr.Row():
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- gr.Markdown("Optimizied Portfolio Metrics")
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  with gr.Row():
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  expected_annual_return = gr.Text(label="Expected Annual Return")
 
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  ef_max_sharpe.max_sharpe(risk_free_rate=0.02)
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  ret_tangent, std_tangent, _ = ef_max_sharpe.portfolio_performance()
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  ax.scatter(std_tangent, ret_tangent, marker="*", s=100, c="r", label="Max Sharpe")
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+ # Generate random portfolios with random weights
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  n_samples = 1000
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  w = np.random.dirichlet(np.ones(ef.n_assets), n_samples)
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  rets = w.dot(ef.expected_returns)
 
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  btn = gr.Button("Get Optimized Portfolio")
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  with gr.Row():
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+ gr.HTML("<h3>Optimizied Portfolio Metrics</h3>")
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  with gr.Row():
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  expected_annual_return = gr.Text(label="Expected Annual Return")