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update cron list

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This commit is contained in:
MuslemRahimi 2025-01-06 12:48:51 +01:00
parent f924f20d71
commit d06859e3c0
2 changed files with 113 additions and 3 deletions
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114
app/cron_list.py
View File

@ -719,16 +719,124 @@ async def get_highest_oi_change():
if res_list:
# Sort by market cap in descending order
res_list = sorted(res_list, key=lambda x: x['changeOI'], reverse=True)[:100]
highest_oi_change = sorted(res_list, key=lambda x: x['changeOI'], reverse=True)[:100]
highest_oi = sorted(res_list, key=lambda x: x['totalOI'], reverse=True)[:100]
# Create independent lists with ranks
highest_oi_change_ranks = [
{**item, "rank": rank} for rank, item in enumerate(highest_oi_change, start=1)
]
highest_oi_ranks = [
{**item, "rank": rank} for rank, item in enumerate(highest_oi, start=1)
]
# Write the filtered and ranked stocks to JSON files
with open("json/stocks-list/list/highest-open-interest-change.json", 'wb') as file:
file.write(orjson.dumps(highest_oi_change_ranks))
with open("json/stocks-list/list/highest-open-interest.json", 'wb') as file:
file.write(orjson.dumps(highest_oi_ranks))
async def get_highest_option_iv_rank():
with sqlite3.connect('stocks.db') as con:
cursor = con.cursor()
cursor.execute("PRAGMA journal_mode = wal")
cursor.execute("SELECT DISTINCT symbol FROM stocks WHERE symbol NOT LIKE '%.%' AND symbol NOT LIKE '%-%'")
symbols = [row[0] for row in cursor.fetchall()]
res_list = []
for symbol in symbols:
try:
# Load quote data from JSON file
total_oi = stock_screener_data_dict[symbol].get('totalOI',0)
iv_rank = stock_screener_data_dict[symbol].get('ivRank',0)
if total_oi > 1E6 and iv_rank > 0:
quote_data = await get_quote_data(symbol)
# Assign price and volume, and check if they meet the penny stock criteria
if quote_data:
price = round(quote_data.get('price',None), 2)
changesPercentage = round(quote_data.get('changesPercentage'), 2)
market_cap = round(quote_data.get('marketCap',None), 2)
name = quote_data.get('name')
# Append stock data to res_list if it meets the criteria
if changesPercentage != 0:
res_list.append({
'symbol': symbol,
'name': name,
'price': price,
'changesPercentage': changesPercentage,
'ivRank': iv_rank,
'totalOI': total_oi,
'marketCap': market_cap,
})
except:
pass
if res_list:
# Sort by market cap in descending order
res_list = sorted(res_list, key=lambda x: x['ivRank'], reverse=True)[:50]
# Assign rank to each stock
for rank, item in enumerate(res_list, start=1):
item['rank'] = rank
# Write the filtered and ranked penny stocks to a JSON file
with open("json/stocks-list/list/highest-open-interest-change.json", 'wb') as file:
with open("json/stocks-list/list/highest-option-iv-rank.json", 'wb') as file:
file.write(orjson.dumps(res_list))
async def get_highest_option_premium():
with sqlite3.connect('stocks.db') as con:
cursor = con.cursor()
cursor.execute("PRAGMA journal_mode = wal")
cursor.execute("SELECT DISTINCT symbol FROM stocks WHERE symbol NOT LIKE '%.%' AND symbol NOT LIKE '%-%'")
symbols = [row[0] for row in cursor.fetchall()]
res_list = []
for symbol in symbols:
try:
# Load quote data from JSON file
iv_rank = stock_screener_data_dict[symbol].get('ivRank',0)
total_prem = stock_screener_data_dict[symbol].get('totalPrem',0)
if total_prem > 0 and iv_rank > 0:
quote_data = await get_quote_data(symbol)
# Assign price and volume, and check if they meet the penny stock criteria
if quote_data:
price = round(quote_data.get('price',None), 2)
changesPercentage = round(quote_data.get('changesPercentage'), 2)
market_cap = round(quote_data.get('marketCap',None), 2)
name = quote_data.get('name')
# Append stock data to res_list if it meets the criteria
if changesPercentage != 0:
res_list.append({
'symbol': symbol,
'name': name,
'price': price,
'changesPercentage': changesPercentage,
'ivRank': iv_rank,
'totalPrem': total_prem,
'marketCap': market_cap,
})
except:
pass
if res_list:
# Sort by market cap in descending order
res_list = sorted(res_list, key=lambda x: x['totalPrem'], reverse=True)[:50]
# Assign rank to each stock
for rank, item in enumerate(res_list, start=1):
item['rank'] = rank
# Write the filtered and ranked penny stocks to a JSON file
with open("json/stocks-list/list/highest-option-premium.json", 'wb') as file:
file.write(orjson.dumps(res_list))
async def etf_bitcoin_list():
try:
with sqlite3.connect('etf.db') as etf_con:
@ -964,6 +1072,8 @@ async def run():
get_most_ftd_shares(),
get_most_shorted_stocks(),
get_highest_oi_change(),
get_highest_option_iv_rank(),
get_highest_option_premium(),
)

2
app/main.py
View File

@ -4059,7 +4059,7 @@ async def get_statistics(data: FilterStockList, api_key: str = Security(get_api_
category_type = 'sector'
elif filter_list == 'reits':
category_type = 'industry'
elif filter_list in ['highest-open-interest-change','most-shorted-stocks','most-ftd-shares','highest-income-tax','most-employees','highest-revenue','top-rated-dividend-stocks','penny-stocks','overbought-stocks','oversold-stocks','faang','magnificent-seven','ca','cn','de','gb','il','in','jp','nyse','nasdaq','amex','dowjones','sp500','nasdaq100','all-stock-tickers']:
elif filter_list in ['highest-option-premium','highest-option-iv-rank','highest-open-interest','highest-open-interest-change','most-shorted-stocks','most-ftd-shares','highest-income-tax','most-employees','highest-revenue','top-rated-dividend-stocks','penny-stocks','overbought-stocks','oversold-stocks','faang','magnificent-seven','ca','cn','de','gb','il','in','jp','nyse','nasdaq','amex','dowjones','sp500','nasdaq100','all-stock-tickers']:
category_type = 'stocks-list'
elif filter_list in ['dividend-kings','dividend-aristocrats']:
category_type = 'dividends'