Update daily.py
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daily.py
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# daily.py
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import yfinance as yf
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import pandas as pd
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from
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from
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from common import html_card, make_table, wrap_html
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def
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try:
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# --- Fetch historical data ---
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df = yf.download(symbol + ".NS", period="6mo", interval="1d")
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return html_card("Error", f"No daily data found for {symbol}")
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df.reset_index(inplace=True)
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# --- Calculate indicators ---
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# ---
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# ---
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table_html =
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# ---
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content = f"""
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<h2>{symbol} - Daily Data</h2>
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<div>
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<b>Select Indicators to Display:</b><br>
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<input type="checkbox" class="indicator-toggle" data-trace="1" checked> SMA20
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<input type="checkbox" class="indicator-toggle" data-trace="2" checked> SMA50
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<input type="checkbox" class="indicator-toggle" data-trace="3"> EMA20
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<input type="checkbox" class="indicator-toggle" data-trace="4"> EMA50
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<input type="checkbox" class="indicator-toggle" data-trace="5"> MACD
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<input type="checkbox" class="indicator-toggle" data-trace="6"> RSI
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<input type="checkbox" class="indicator-toggle" data-trace="7"> Stochastic
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<button onclick="applyIndicators()">Apply</button>
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</div>
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<br>
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{chart_html}
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<br>
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{html_card("Data Table", table_html)}
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"""
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# daily.py
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import yfinance as yf
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import pandas as pd
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from ta_indi_pat import patterns, indicators
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from common import html_card, wrap_html
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def fetch_daily_full_table(symbol):
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"""
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Fetch daily OHLCV data, calculate indicators + patterns, return as HTML table.
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"""
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try:
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# --- Fetch historical data ---
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df = yf.download(symbol + ".NS", period="6mo", interval="1d")
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return html_card("Error", f"No daily data found for {symbol}")
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df.reset_index(inplace=True)
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# --- Calculate indicators and patterns ---
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indicator_df = indicators(df)
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pattern_df = patterns(df)
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# --- Combine OHLCV + indicators + patterns ---
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combined_df = pd.concat([df, indicator_df, pattern_df], axis=1)
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# --- Convert to HTML table ---
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table_html = combined_df.to_html(classes="table table-striped table-bordered", border=0, index=False)
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# --- Wrap in card and full HTML ---
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content = f"""
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<h2>{symbol} - Daily Data</h2>
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{html_card("Data Table", table_html)}
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"""
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