Feature: Integrate StockData.org as a data source. Fix: AttributeError in app.py.

app.py

@@ -30,7 +30,7 @@ def update_horizon_label(timeframe):
     return gr.update(label=f"Horizon ({units.get(timeframe, 'days')})")
 
 def run_dashboard(data_src, ticker, file_upload, timeframe, start_date, end_date, horizon, indicators,
-                  include_sentiment, news_api_key, alpha_api_key, finnhub_api_key, twelvedata_api_key, account_size, risk_percent, model,
+                  include_sentiment, news_api_key, alpha_api_key, finnhub_api_key, twelvedata_api_key, stockdata_api_key, account_size, risk_percent, model,
                   hidden_units, n_layers, epochs, learning_rate, beta1, beta2, weight_decay, dropout,
                   window_size, test_split, rsi_mid, macd_sens, adx_thr, sent_thr, vote_buy, vote_sell,
                   feat_selector, feat_threshold):
@@ -41,7 +41,7 @@ def run_dashboard(data_src, ticker, file_upload, timeframe, start_date, end_date
 
         df = load_data(data_src=data_src, ticker=ticker, start=start_date, end=end_date,
                        interval=timeframe, file_upload=file_upload, alpha_api_key=alpha_api_key,
-                       finnhub_api_key=finnhub_api_key, twelvedata_api_key=twelvedata_api_key)
+                       finnhub_api_key=finnhub_api_key, twelvedata_api_key=twelvedata_api_key, stockdata_api_key=stockdata_api_key)
         if df.empty:
             logging.error("Failed to load data")
             return [None] * 12 + ["Failed to load data", None, None, None, None, "Failed to load data"]
@@ -131,7 +131,7 @@ def main_interface():
             gr.Markdown("# Market Prediction Pro")
             with gr.Row():
                 with gr.Column(scale=1):
-                    data_src = gr.Dropdown(["yahoo", "csv", "alpha_vantage", "finnhub", "twelvedata"], label="Data Source", value="yahoo")
+                    data_src = gr.Dropdown(["yahoo", "csv", "alpha_vantage", "finnhub", "twelvedata", "stockdata"], label="Data Source", value="yahoo")
                     ticker = gr.Dropdown(DEFAULT_TICKERS, label="Ticker", value="AAPL")
                     file_upload = gr.File(label="Upload CSV", visible=False)
                     timeframe = gr.Dropdown(AVAILABLE_TIMEFRAMES, label="Timeframe", value="1d")
@@ -144,6 +144,7 @@ def main_interface():
                     alpha_api_key = gr.Textbox("IUCYQSZIPF3QIB3Q", label="Alpha Vantage API Key (Optional)", type="password")
                     finnhub_api_key = gr.Textbox(label="Finnhub API Key (Optional)", type="password")
                     twelvedata_api_key = gr.Textbox(label="Twelve Data API Key (Optional)", type="password")
+	                    stockdata_api_key = gr.Textbox(label="StockData.org API Key (Optional)", type="password")
 
                     gr.Markdown("### Model Parameters")
                     model = gr.Dropdown(AVAILABLE_MODELS, label="Model", value="LSTM")
@@ -195,7 +196,7 @@ def main_interface():
                 run_dashboard,
                 inputs=[
                     data_src, ticker, file_upload, timeframe, start_date, end_date, horizon, indicators,
-                    include_sentiment, news_api_key, alpha_api_key, finnhub_api_key, twelvedata_api_key, gr.Number(value=10000, visible=False), gr.Number(value=0.01, visible=False), model,
+                    include_sentiment, news_api_key, alpha_api_key, finnhub_api_key, twelvedata_api_key, stockdata_api_key, gr.Number(value=10000, visible=False), gr.Number(value=0.01, visible=False), model,
                     hidden_units, n_layers, epochs, learning_rate, beta1, beta2, weight_decay, dropout,
                     window_size, test_split, rsi_mid, macd_sens, adx_thr, sent_thr, vote_buy, vote_sell,
                     feat_selector, feat_threshold

config.py

@@ -2,7 +2,7 @@
 DEFAULT_TICKERS = ["BTC-USD", "ETH-USD", "AAPL", "MSFT", "TSLA", "GOOG", "META", "AMZN", "XAUUSD=X", "EURUSD=X", "SPY", "QQQ", "DIA", "^GSPC", "^DJI", "^IXIC"]
 AVAILABLE_MODELS = ["LSTM", "GRU", "BiLSTM", "CNN", "Transformer", "Hybrid", "MLP"]
 AVAILABLE_TIMEFRAMES = ["1m", "2m", "5m", "15m", "30m", "60m", "90m", "1h", "1d", "5d", "1wk", "1mo", "3mo"]
-AVAILABLE_DATA_SOURCES = ["yahoo", "alpha_vantage", "finnhub", "twelvedata"]
+AVAILABLE_DATA_SOURCES = ["yahoo", "alpha_vantage", "finnhub", "twelvedata", "stockdata"]
 AVAILABLE_INDICATORS = [
     "adx", "ao", "apo", "aroon", "atr", "bbands", "cci", "cg", "cmo", "copp",
     "dema", "dma", "donchian", "dpo", "efi", "ema", "eom", "fama", "fisher",

core/data.py

@@ -265,6 +265,8 @@ def load_data(data_src='yahoo', ticker='AAPL', start='2020-01-01', end='2023-01-
         df = load_data_finnhub(ticker, start, end, interval, finnhub_api_key)
     elif data_src == 'twelvedata' and twelvedata_api_key:
         df = load_data_twelvedata(ticker, start, end, interval, twelvedata_api_key)
+    elif data_src == 'stockdata' and stockdata_api_key:
+        df = load_data_stockdata(ticker, start, end, interval, stockdata_api_key)
     # elif data_src == 'stockdata' and stockdata_api_key: # StockData.org is not free for historical data
     #     df = load_data_stockdata(ticker, start, end, interval, stockdata_api_key)