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Q Research/scripts/plot_candles.py

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+# scripts/plot_candles.py
+
+import os
+import pandas as pd
+import plotly.graph_objects as go
+
+BASE_DIR = os.path.dirname(os.path.dirname(__file__))
+RAW_DATA_DIR = os.path.join(BASE_DIR, "data", "raw")
+
+def plot_csv_candles(file_path, symbol, granularity):
+    df = pd.read_csv(file_path, parse_dates=["time"])
+
+    fig = go.Figure(data=[
+        go.Candlestick(
+            x=df["time"],
+            open=df["open"],
+            high=df["high"],
+            low=df["low"],
+            close=df["close"]
+        )
+    ])
+    fig.update_layout(
+        title=f"{symbol} {granularity} Candlestick Chart",
+        xaxis_title="Time",
+        yaxis_title="Price",
+        xaxis_rangeslider_visible=False
+    )
+
+    # 创建 charts 文件夹（如果不存在）
+    os.makedirs("charts", exist_ok=True)
+    output_file = f"charts/{symbol.replace('/', '')}_{granularity}.html"
+    fig.write_html(output_file)
+    print(f"✅ Saved chart to {output_file}")
+
+if __name__ == "__main__":
+    plot_csv_candles(os.path.join(RAW_DATA_DIR, "EURUSD_H1.csv"), "EUR/USD", "H1")