add financial score

app/cron_financial_score.py

@@ -0,0 +1,64 @@
+from datetime import datetime, timedelta
+import ujson
+import time
+import sqlite3
+import asyncio
+import aiohttp
+import random
+from tqdm import tqdm
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+api_key = os.getenv('FMP_API_KEY')
+
+async def save_json(symbol, data):
+    with open(f"json/financial-score/{symbol}.json", 'w') as file:
+        ujson.dump(data, file)
+
+
+async def get_data(session, symbol):
+    # Construct the API URL
+    url = f"https://financialmodelingprep.com/api/v4/score?symbol={symbol}&apikey={api_key}"
+    
+    try:
+        async with session.get(url) as response:
+            if response.status == 200:
+                data = await response.json()
+                if len(data) > 0:
+                    filtered_data = [
+                        {
+                            k: round(v, 2) if k == 'altmanZScore' else v 
+                            for k, v in item.items() 
+                            if k in ['altmanZScore', 'piotroskiScore', 'workingCapital', 'totalAssets']
+                        } 
+                        for item in data
+                    ]
+                    await save_json(symbol, filtered_data[0])
+    except:
+        pass
+
+async def run():
+    con = sqlite3.connect('stocks.db')
+    cursor = con.cursor()
+    cursor.execute("PRAGMA journal_mode = wal")
+    cursor.execute("SELECT DISTINCT symbol FROM stocks WHERE symbol NOT LIKE '%.%'")
+    symbols = [row[0] for row in cursor.fetchall()]
+    con.close()
+    
+    async with aiohttp.ClientSession() as session:
+        tasks = []
+        for i, symbol in enumerate(tqdm(symbols), 1):
+            tasks.append(get_data(session, symbol))
+            if i % 100 == 0:
+                await asyncio.gather(*tasks)
+                tasks = []
+                print(f'sleeping mode: {i}')
+                await asyncio.sleep(60)  # Pause for 60 seconds
+        
+        if tasks:
+            await asyncio.gather(*tasks)
+
+if __name__ == "__main__":
+    loop = asyncio.get_event_loop()
+    loop.run_until_complete(run())

app/cron_info_text.py

@@ -421,8 +421,19 @@ data = {
         'text': 'FCF margin is the percentage of revenue left as free cash flow. FCF is calculated by subtracting capital expenditures (CapEx) from the operating cash flow (OCF). Both CapEx and OCF are shown on the cash flow statement.',
         'equation': 'FCF Margin = (Free Cash Flow / Revenue) * 100%'
     },
-
-
+    'altmanZScore': {
+        'text': 'The Altman Z-Score is a number based on a formula that can be used to predict the likelihood that a company will go into bankruptcy within two years.',
+    },
+    'piotroskiScore': {
+        'text': 'The Piotroski F-Score is a score between 0 and 9 that determine the strength of a company`s financial position. The higher, the better.',
+    },
+    'totalAssets': {
+        'text': 'Total assets is the sum of all current and non-current assets on the balance sheet. Assets are everything that the company owns.',
+    },
+    'workingCapital': {
+        'text': 'Working capital is the amount of money available to a business to conduct its day-to-day operations. It is calculated by subtracting total current liabilities from total current assets.',
+        'equation': 'Working Capital = Current Assets - Current Liabilities'
+    },
 
 
 

app/primary_cron_job.py

@@ -521,6 +521,15 @@ def run_financial_statements():
     ]
     run_command(command)
 
+def run_financial_score():
+    run_command(["python3", "cron_financial_score.py"])
+    command = [
+        "sudo", "rsync", "-avz", "-e", "ssh",
+        "/root/backend/app/json/financial-score",
+        f"root@{useast_ip_address}:/root/backend/app/json"
+    ]
+    run_command(command)
+
 def run_market_cap():
     run_command(["python3", "cron_market_cap.py"])
     command = [
@@ -599,6 +608,7 @@ schedule.every().day.at("14:00").do(run_threaded, run_cron_sector).tag('sector_j
 schedule.every().day.at("15:45").do(run_threaded, run_restart_cache)
 
 schedule.every(2).days.at("01:00").do(run_threaded, run_market_maker).tag('markt_maker_job')
+schedule.every(2).days.at("08:30").do(run_threaded, run_financial_score).tag('financial_score_job')
 schedule.every().saturday.at("05:00").do(run_threaded, run_ownership_stats).tag('ownership_stats_job')
 
 

app/restart_json.py

@@ -561,6 +561,20 @@ async def get_stock_screener(con):
         except:
             item['forwardPE'] = None
 
+        try:
+            with open(f"json/financial-score/{symbol}.json", 'r') as file:
+                res = orjson.loads(file.read())
+                item['altmanZScore'] = res['altmanZScore']
+                item['piotroskiScore'] = res['piotroskiScore']
+                item['workingCapital'] = res['workingCapital']
+                item['totalAssets'] = res['totalAssets']
+
+        except:
+            item['altmanZScore'] = None
+            item['piotroskiScore'] = None
+            item['workingCapital'] = None
+            item['totalAssets'] = None
+
         try:
             with open(f"json/dividends/companies/{symbol}.json", 'r') as file:
                 res = orjson.loads(file.read())