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Stock API and plot function update #22

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Stock API and plot function update #22

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9ea5754
Update function parameters to align with new matplotlib API
TianYuanSX Apr 21, 2024
43372b1
Price API changed
TianYuanSX Apr 21, 2024
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121 changes: 68 additions & 53 deletions README.md
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402 changes: 201 additions & 201 deletions demo-predicting-stock-prices.ipynb
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16 changes: 8 additions & 8 deletions project.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@
"key": "YOUR_API_KEY", # Claim your free API key here: https://www.alphavantage.co/support/#api-key
"symbol": "IBM",
"outputsize": "full",
"key_adjusted_close": "5. adjusted close",
"key_close_price": "4. close",
},
"data": {
"window_size": 20,
Expand Down Expand Up @@ -51,12 +51,12 @@

def download_data(config):
ts = TimeSeries(key=config["alpha_vantage"]["key"])
data, meta_data = ts.get_daily_adjusted(config["alpha_vantage"]["symbol"], outputsize=config["alpha_vantage"]["outputsize"])
data, meta_data = ts.get_daily(config["alpha_vantage"]["symbol"], outputsize=config["alpha_vantage"]["outputsize"])

data_date = [date for date in data.keys()]
data_date.reverse()

data_close_price = [float(data[date][config["alpha_vantage"]["key_adjusted_close"]]) for date in data.keys()]
data_close_price = [float(data[date][config["alpha_vantage"]["key_close_price"]]) for date in data.keys()]
data_close_price.reverse()
data_close_price = np.array(data_close_price)

Expand All @@ -77,7 +77,7 @@ def download_data(config):
x = np.arange(0,len(xticks))
plt.xticks(x, xticks, rotation='vertical')
plt.title("Daily close price for " + config["alpha_vantage"]["symbol"] + ", " + display_date_range)
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.show()

class Normalizer():
Expand Down Expand Up @@ -145,7 +145,7 @@ def prepare_data_y(x, window_size):
x = np.arange(0,len(xticks))
plt.xticks(x, xticks, rotation='vertical')
plt.title("Daily close prices for " + config["alpha_vantage"]["symbol"] + " - showing training and validation data")
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.legend()
plt.show()

Expand Down Expand Up @@ -316,7 +316,7 @@ def run_epoch(dataloader, is_training=False):
xticks = [data_date[i] if ((i%config["plots"]["xticks_interval"]==0 and (num_data_points-i) > config["plots"]["xticks_interval"]) or i==num_data_points-1) else None for i in range(num_data_points)] # make x ticks nice
x = np.arange(0,len(xticks))
plt.xticks(x, xticks, rotation='vertical')
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.legend()
plt.show()

Expand All @@ -336,7 +336,7 @@ def run_epoch(dataloader, is_training=False):
xticks = [to_plot_data_date[i] if ((i%int(config["plots"]["xticks_interval"]/5)==0 and (len(to_plot_data_date)-i) > config["plots"]["xticks_interval"]/6) or i==len(to_plot_data_date)-1) else None for i in range(len(to_plot_data_date))] # make x ticks nice
xs = np.arange(0,len(xticks))
plt.xticks(xs, xticks, rotation='vertical')
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.legend()
plt.show()

Expand Down Expand Up @@ -375,7 +375,7 @@ def run_epoch(dataloader, is_training=False):
plt.plot(plot_date_test, to_plot_data_y_val_pred, label="Past predicted prices", marker=".", markersize=10, color=config["plots"]["color_pred_val"])
plt.plot(plot_date_test, to_plot_data_y_test_pred, label="Predicted price for next day", marker=".", markersize=20, color=config["plots"]["color_pred_test"])
plt.title("Predicting the close price of the next trading day")
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.legend()
plt.show()

Expand Down
2 changes: 1 addition & 1 deletion step_by_step_code_blocks/add_configs.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
"key": "YOUR_API_KEY", # Claim your free API key here: https://www.alphavantage.co/support/#api-key
"symbol": "IBM",
"outputsize": "full",
"key_adjusted_close": "5. adjusted close",
"key_close_price": "4. close",
},
"data": {
"window_size": 20,
Expand Down
6 changes: 3 additions & 3 deletions step_by_step_code_blocks/get_market_data.py
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Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
def download_data(config):
ts = TimeSeries(key=config["alpha_vantage"]["key"])
data, meta_data = ts.get_daily_adjusted(config["alpha_vantage"]["symbol"], outputsize=config["alpha_vantage"]["outputsize"])
data, meta_data = ts.get_daily(config["alpha_vantage"]["symbol"], outputsize=config["alpha_vantage"]["outputsize"])

data_date = [date for date in data.keys()]
data_date.reverse()

data_close_price = [float(data[date][config["alpha_vantage"]["key_adjusted_close"]]) for date in data.keys()]
data_close_price = [float(data[date][config["alpha_vantage"]["key_close_price"]]) for date in data.keys()]
data_close_price.reverse()
data_close_price = np.array(data_close_price)

Expand All @@ -26,5 +26,5 @@ def download_data(config):
x = np.arange(0,len(xticks))
plt.xticks(x, xticks, rotation='vertical')
plt.title("Daily close price for " + config["alpha_vantage"]["symbol"] + ", " + display_date_range)
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.show()
2 changes: 1 addition & 1 deletion step_by_step_code_blocks/model_eval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,6 @@
xticks = [data_date[i] if ((i%config["plots"]["xticks_interval"]==0 and (num_data_points-i) > config["plots"]["xticks_interval"]) or i==num_data_points-1) else None for i in range(num_data_points)] # make x ticks nice
x = np.arange(0,len(xticks))
plt.xticks(x, xticks, rotation='vertical')
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.legend()
plt.show()
2 changes: 1 addition & 1 deletion step_by_step_code_blocks/model_eval_zoomed_in.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,6 @@
xticks = [to_plot_data_date[i] if ((i%int(config["plots"]["xticks_interval"]/5)==0 and (len(to_plot_data_date)-i) > config["plots"]["xticks_interval"]/6) or i==len(to_plot_data_date)-1) else None for i in range(len(to_plot_data_date))] # make x ticks nice
xs = np.arange(0,len(xticks))
plt.xticks(xs, xticks, rotation='vertical')
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.legend()
plt.show()
2 changes: 1 addition & 1 deletion step_by_step_code_blocks/predict_future_prices.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@
plt.plot(plot_date_test, to_plot_data_y_val_pred, label="Past predicted prices", marker=".", markersize=10, color=config["plots"]["color_pred_val"])
plt.plot(plot_date_test, to_plot_data_y_test_pred, label="Predicted price for next day", marker=".", markersize=20, color=config["plots"]["color_pred_test"])
plt.title("Predicted close price of the next trading day")
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.legend()
plt.show()

Expand Down
2 changes: 1 addition & 1 deletion step_by_step_code_blocks/split_train_validate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,6 @@ def prepare_data_y(x, window_size):
x = np.arange(0,len(xticks))
plt.xticks(x, xticks, rotation='vertical')
plt.title("Daily close prices for " + config["alpha_vantage"]["symbol"] + " - showing training and validation data")
plt.grid(b=None, which='major', axis='y', linestyle='--')
plt.grid(which='major', axis='y', linestyle='--')
plt.legend()
plt.show()