diff --git a/app/cron_cap_category.py b/app/cron_cap_category.py
new file mode 100644
index 0000000..0e7bfdb
--- /dev/null
+++ b/app/cron_cap_category.py
@@ -0,0 +1,103 @@
+import orjson
+import sqlite3
+import asyncio
+import aiohttp
+from tqdm import tqdm
+
+
+# Load stock screener data
+with open(f"json/stock-screener/data.json", 'rb') as file:
+    stock_screener_data = orjson.loads(file.read())
+stock_screener_data_dict = {item['symbol']: item for item in stock_screener_data}
+
+
+async def save_json(cap_category, data):
+    """Save data to JSON file for specific market cap category."""
+    with open(f"json/market-cap/list/{cap_category}.json", 'wb') as file:  # Note: 'wb' for binary write
+        file.write(orjson.dumps(data))
+
+async def get_quote_data(symbol):
+    """Get quote data for a symbol from JSON file"""
+    try:
+        with open(f"json/quote/{symbol}.json", 'r') as file:
+            return orjson.loads(file.read())
+    except FileNotFoundError:
+        return None
+
+async def process_market_cap_category(cursor, category, condition):
+    """Process stocks for a specific market cap category"""
+    base_query = """
+        SELECT DISTINCT s.symbol, s.name, s.exchangeShortName, s.marketCap 
+        FROM stocks s 
+        WHERE {}
+    """
+    
+    full_query = base_query.format(condition)
+    cursor.execute(full_query)
+    raw_data = cursor.fetchall()
+    
+    result_list = []
+    for row in raw_data:
+        symbol = row[0]
+        quote_data = await get_quote_data(symbol)
+        if quote_data:
+            item = {
+                'symbol': symbol,
+                'name': row[1],
+                'price': quote_data.get('price'),
+                'changesPercentage': quote_data.get('changesPercentage'),
+                'marketCap': quote_data.get('marketCap'),
+                'revenue': None,
+            }
+            
+            # Add screener data if available
+            if symbol in stock_screener_data_dict:
+                item['revenue'] = stock_screener_data_dict[symbol].get('revenue')
+            
+            result_list.append(item)
+    
+    # Sort by market cap and save
+    sorted_result = sorted(result_list, key=lambda x: x['marketCap'] if x['marketCap'] else 0, reverse=True)
+    # Add rank to each item
+    for rank, item in enumerate(sorted_result, 1):
+        item['rank'] = rank
+
+    await save_json(category, sorted_result)
+    print(f"Processed and saved {len(sorted_result)} stocks for {category}")
+    return sorted_result
+
+async def run():
+    """Main function to run the analysis for all market cap categories"""
+    conditions = {
+        'mega-cap-stocks': "marketCap >= 200e9 AND (exchangeShortName = 'NYSE' OR exchangeShortName = 'NASDAQ' OR exchangeShortName = 'AMEX')",
+        'large-cap-stocks': "marketCap < 200e9 AND marketCap >= 10e9 AND (exchangeShortName = 'NYSE' OR exchangeShortName = 'NASDAQ' OR exchangeShortName = 'AMEX')",
+        'mid-cap-stocks': "marketCap < 10e9 AND marketCap >= 2e9 AND (exchangeShortName = 'NYSE' OR exchangeShortName = 'NASDAQ' OR exchangeShortName = 'AMEX')",
+        'small-cap-stocks': "marketCap < 2e9 AND marketCap >= 300e6 AND (exchangeShortName = 'NYSE' OR exchangeShortName = 'NASDAQ' OR exchangeShortName = 'AMEX')",
+        'micro-cap-stocks': "marketCap < 300e6 AND marketCap >= 50e6 AND (exchangeShortName = 'NYSE' OR exchangeShortName = 'NASDAQ' OR exchangeShortName = 'AMEX')",
+        'nano-cap-stocks': "marketCap < 50e6 AND (exchangeShortName = 'NYSE' OR exchangeShortName = 'NASDAQ' OR exchangeShortName = 'AMEX')"
+    }
+
+    try:
+        con = sqlite3.connect('stocks.db')
+        cursor = con.cursor()
+        cursor.execute("PRAGMA journal_mode = wal")
+
+        # Process each market cap category
+        for category, condition in conditions.items():
+            await process_market_cap_category(cursor, category, condition)
+            await asyncio.sleep(1)  # Small delay between categories
+
+    except Exception as e:
+        print(e)
+        raise
+    finally:
+        con.close()
+
+if __name__ == "__main__":
+    try:
+        loop = asyncio.get_event_loop()
+        loop.run_until_complete(run())
+    except Exception as e:
+        print(e)
+    finally:
+        loop.close()
\ No newline at end of file
diff --git a/app/main.py b/app/main.py
index 9edfb33..33e6067 100755
--- a/app/main.py
+++ b/app/main.py
@@ -316,6 +316,8 @@ class HistoricalDate(BaseModel):
 class OptionsWatchList(BaseModel):
     optionsIdList: list
 
+class MarketCapData(BaseModel):
+    category: str
 
 # Replace NaN values with None in the resulting JSON object
 def replace_nan_inf_with_none(obj):
@@ -4142,6 +4144,35 @@ async def get_statistics(data: TickerData, api_key: str = Security(get_api_key))
     )
 
 
+@app.post("/cap-category")
+async def get_statistics(data: MarketCapData, api_key: str = Security(get_api_key)):
+    category = data.category
+    cache_key = f"market-cap-category-{category}"
+    cached_result = redis_client.get(cache_key)
+    if cached_result:
+        return StreamingResponse(
+            io.BytesIO(cached_result),
+            media_type="application/json",
+            headers={"Content-Encoding": "gzip"}
+        )
+    try:
+        with open(f"json/market-cap/list/{category}.json", 'rb') as file:
+            res = orjson.loads(file.read())
+    except:
+        res = []
+
+    data = orjson.dumps(res)
+    compressed_data = gzip.compress(data)
+
+    redis_client.set(cache_key, compressed_data)
+    redis_client.expire(cache_key,60*10)
+
+    return StreamingResponse(
+        io.BytesIO(compressed_data),
+        media_type="application/json",
+        headers={"Content-Encoding": "gzip"}
+    )
+
 @app.get("/newsletter")
 async def get_newsletter():
     try:
diff --git a/app/primary_cron_job.py b/app/primary_cron_job.py
index 0370726..73027fa 100755
--- a/app/primary_cron_job.py
+++ b/app/primary_cron_job.py
@@ -263,6 +263,7 @@ def run_tracker():
         "cron_lobbying_tracker.py",
         "cron_sentiment_tracker.py"
         "cron_insider_tracker.py"
+        "cron_cap_category.py"
     ]
     for script in scripts:
         run_command(["python3", script])