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app.py

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+import requests
+import pandas as pd
+import gradio as gr
+
+def scrape_barchart_unusual():
+    url = "https://www.barchart.com/proxies/core-api/v1/options/unusual-activity"
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123 Safari/537.36",
+        "Accept": "application/json",
+    }
+    params = {
+        "assetType": "STOCK",
+        "fields": "symbol,optionType,strikePrice,expirationDate,tradeVolume,tradePremium",
+        "meta": "field.shortName,field.type",
+        "orderBy": "tradePremium",
+        "orderDir": "desc",
+        "page": 1,
+        "limit": 50
+    }
+
+    response = requests.get(url, headers=headers, params=params)
+    data = response.json()
+
+    if "data" not in data:
+        return pd.DataFrame(columns=["Symbol", "Type", "Strike", "Expiry", "Volume", "Premium ($)"])
+
+    rows = []
+    for item in data["data"]:
+        symbol = item.get("symbol", "")
+        opt_type = item.get("optionType", "")
+        strike = item.get("strikePrice", "")
+        expiry = item.get("expirationDate", "")
+        volume = item.get("tradeVolume", "")
+        premium = item.get("tradePremium", "")
+
+        rows.append([symbol, opt_type, strike, expiry, volume, f"${premium:,}"])
+
+    df = pd.DataFrame(rows, columns=["Symbol", "Type", "Strike", "Expiry", "Volume", "Premium ($)"])
+    return df
+
+with gr.Blocks() as app:
+    gr.Markdown("# Barchart Unusual Options Flow (Realtime Top 50)")
+    table = gr.Dataframe(scrape_barchart_unusual, every=30, label="Unusual Options Activity")
+
+app.launch(server_name="0.0.0.0", server_port=7860)

requirements.txt

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+gradio
+pandas
+requests