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update unusual activity
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MuslemRahimi committed Feb 4, 2025
1 parent e0d8755 commit abb3951
Showing 1 changed file with 58 additions and 83 deletions.
141 changes: 58 additions & 83 deletions app/cron_unusual_activity.py
Original file line number Diff line number Diff line change
@@ -1,8 +1,5 @@
from __future__ import print_function
import asyncio
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
from datetime import datetime, timedelta
import ast
import orjson
Expand All @@ -11,27 +8,8 @@
from concurrent.futures import ThreadPoolExecutor
import sqlite3
import re

from dotenv import load_dotenv
import os

load_dotenv()

api_key = os.getenv('INTRINIO_API_KEY')

intrinio.ApiClient().set_api_key(api_key)
#intrinio.ApiClient().allow_retries(True)

today = datetime.today()
start_date = (today - timedelta(150)).strftime("%Y-%m-%d")
end_date = (today + timedelta(30)).strftime("%Y-%m-%d")

next_page = ''
page_size = 1000
activity_type = ''
sentiment = ''
minimum_total_value = 1E6
maximum_total_value = 2E10


# Database connection and symbol retrieval
Expand All @@ -51,90 +29,87 @@ def get_total_symbols():
return stocks_symbols + etf_symbols


def get_tickers_from_directory():
directory = "json/options-historical-data/companies"
try:
# Ensure the directory exists
if not os.path.exists(directory):
raise FileNotFoundError(f"The directory '{directory}' does not exist.")

# Get all tickers from filenames
return [file.replace(".json", "") for file in os.listdir(directory) if file.endswith(".json")]

except Exception as e:
print(f"An error occurred: {e}")
return []


async def save_json(data, symbol):
directory = "json/unusual-activity"
os.makedirs(directory, exist_ok=True)
with open(f"{directory}/{symbol}.json", 'wb') as file:
file.write(orjson.dumps(data))


def parse_option_symbol(option_symbol):
# Define regex pattern to match the symbol structure
match = re.match(r"([A-Z]+)(\d{6})([CP])(\d+)", option_symbol)
if not match:
raise ValueError(f"Invalid option_symbol format: {option_symbol}")

ticker, expiration, option_type, strike_price = match.groups()

# Convert expiration to datetime
date_expiration = datetime.strptime(expiration, "%y%m%d").date()
async def get_dataset():
today = datetime.today()
start_date = today - timedelta(days=365)
date_list = [(start_date + timedelta(days=i)).strftime("%Y-%m-%d") for i in range(365)]

unique_data = {}

# Convert strike price to float
strike_price = int(strike_price) / 1000
for date in tqdm(date_list):
try:
with open(f"json/options-historical-data/flow-data/{date}.json", "r") as file:
data = orjson.loads(file.read())
data = [item for item in data if item['cost_basis'] >=1E6]
for item in data:
if "id" in item:
unique_data[item["id"]] = item # Store unique items based on "id"
except:
pass

try:
with open(f"json/options-flow/feed/data.json", "r") as file:
data = orjson.loads(file.read())
data = [item for item in data if item['cost_basis'] >=1E6]
for item in data:
if "id" in item:
unique_data[item["id"]] = item
except:
pass

all_data = list(unique_data.values()) # Convert back to a list

return all_data

return date_expiration, option_type, strike_price

async def get_data(symbol):
response = intrinio.OptionsApi().get_unusual_activity_intraday(symbol, next_page=next_page, page_size=page_size, activity_type=activity_type, sentiment=sentiment, start_date=start_date, end_date=end_date, minimum_total_value=minimum_total_value, maximum_total_value=maximum_total_value)
data = (response.__dict__['_trades'])
async def get_data(symbol, data):

res_list = []
if len(data) > 0:
for item in data:
try:
trade_data = item.__dict__
trade_data = {key.lstrip('_'): value for key, value in trade_data.items()}
option_symbol = trade_data['contract'].replace("___","").replace("__","").replace("_","")
date_expiration, option_type, strike_price = parse_option_symbol(option_symbol)
if trade_data['underlying_price_at_execution'] > 0: #and date_expiration >= datetime.today().date():

res_list.append({'date': trade_data['timestamp'].strftime("%Y-%m-%d"),
'askprice': trade_data['ask_at_execution'],
'bidPrice': trade_data['bid_at_execution'],
'premium': trade_data['total_value'],
'sentiment': trade_data['sentiment'].capitalize(),
'avgPrice': trade_data['average_price'],
'price': trade_data['underlying_price_at_execution'],
'unusualType': trade_data['type'].capitalize(),
'size': trade_data['total_size'],
'optionSymbol': option_symbol,
'strike': strike_price,
'expiry': date_expiration.strftime("%Y-%m-%d"),
'optionType': option_type.replace("P","Put").replace("C","Call")
if item['ticker'] == symbol:
res_list.append({
'date': item['date'],
'premium': item['cost_basis'],
'sentiment': item['sentiment'],
'executionEst': item['execution_estimate'],
'price': item['underlying_price'],
'unusualType': item['option_activity_type'],
'size': item['size'],
'oi': item['open_interest'],
'optionSymbol': item['option_symbol'],
'strike': item['strike_price'],
'expiry': item['date_expiration'],
'optionType': item['put_call'],
})
except:
pass
except Exception as e:
print(e)

res_list = sorted(res_list, key=lambda x: x['date'], reverse=True)

if res_list:
await save_json(res_list, symbol)

res_list = sorted(res_list, key=lambda x: x['date'], reverse=True)
if res_list:
await save_json(res_list, symbol)


async def main():
total_symbols = get_tickers_from_directory()
if len(total_symbols) < 3000:
total_symbols = get_total_symbols()
print(f"Number of tickers: {len(total_symbols)}")
total_symbols = get_total_symbols()
data = await get_dataset()

for symbol in tqdm(total_symbols):
try:
data = await get_data(symbol)
await get_data(symbol, data)

except Exception as e:
print(f"Error processing {symbol}: {e}")

if __name__ == "__main__":
asyncio.run(main())

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