AmineTMIRI/backend
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

extend reddit bot

Browse Source
This commit is contained in:
MuslemRahimi 2025-01-16 23:57:41 +01:00
parent 22dd6f486f
commit 775347dda9
1 changed files with 113 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

120
app/cron_reddit_bot.py
View File

@ -12,7 +12,7 @@ import argparse
def parse_args():
parser = argparse.ArgumentParser(description='Post Type')
parser.add_argument('--post_type', choices=['earnings', 'stock-list', 'premarket', 'aftermarket'],
parser.add_argument('--post_type', choices=['earnings', 'stock-list', 'premarket', 'aftermarket',"option"],
type=str, default='earnings',
help='Post type: "earnings" (default), "stock-list", "premarket", or "aftermarket"')
return parser.parse_args()
@ -43,13 +43,21 @@ def format_time(time_str):
return ""
def format_number(num):
def format_number(num, decimal=False):
"""Abbreviate large numbers with B/M suffix"""
if num >= 1_000_000_000:
return f"{num / 1_000_000_000:.2f}B"
elif num >= 1_000_000:
return f"{num / 1_000_000:.2f}M"
return f"{num:,.0f}"
if decimal:
if num >= 1_000_000_000:
return f"{num / 1_000_000_000:.2f}B"
elif num >= 1_000_000:
return f"{num / 1_000_000:.2f}M"
return f"{num:,.0f}"
else:
if num >= 1_000_000_000:
return f"{num / 1_000_000_000:,.2f}B"
elif num >= 1_000_000:
return f"{num / 1_000_000:,.2f}M"
return f"{num:,.0f}" # Format smaller numbers with commas
def calculate_yoy_change(current, prior):
"""Calculate year-over-year percentage change"""
@ -279,6 +287,92 @@ Here's a summary of today's Premarket Gainers and Losers, showcasing stocks that
More info can be found here: [Premarket Gainers and Losers](https://stocknear.com/market-mover/premarket/gainers)
"""
def format_option_data():
try:
with open("json/stocks-list/list/highest-option-premium.json", 'r') as file:
data = ujson.load(file)
highest_premium = [
{'symbol': item['symbol'],
'changesPercentage': item['changesPercentage'], 'totalPrem': item['totalPrem'],'totalOI': item['totalOI'],'ivRank':item['ivRank']}
for item in data[:5]
]
with open("json/stocks-list/list/highest-option-iv-rank.json", 'r') as file:
data = ujson.load(file)
highest_iv_rank = [
{'symbol': item['symbol'],
'changesPercentage': item['changesPercentage'], 'totalPrem': item['totalPrem'],'totalOI': item['totalOI'],'ivRank':item['ivRank']}
for item in data[:5]
]
with open("json/stocks-list/list/highest-open-interest-change.json", 'r') as file:
data = ujson.load(file)
highest_change_oi = [
{'symbol': item['symbol'],
'changesPercentage': item['changesPercentage'], 'totalPrem': item['totalPrem'],'changeOI': item['changeOI'],'ivRank':item['ivRank']}
for item in data[:5]
]
combined_data = {'highest_premium': highest_premium, 'highest_iv_rank': highest_iv_rank, 'highest_change_oi': highest_change_oi}
except Exception as e:
print(f"Error loading market data: {e}")
combined_data = {'highest_premium': [], 'highest_iv_rank': []}
# Create highest_premium Table
highest_premium_table = "| Symbol | Change (%) | Total Prem | IV Rank | Total OI |\n"
highest_premium_table += "|:------:|:-----|------:|-----------:|-----------:|\n"
for item in combined_data["highest_premium"]:
highest_premium_table += (
f"| [{item['symbol']}](https://stocknear.com/stocks/{item['symbol']}) | {item['changesPercentage']:.2f}% | "
f"{format_number(item['totalPrem'])} | {item['ivRank']:.2f} | "
f"{format_number(item['totalOI'])} |\n"
)
# Create highest_iv_rank Table
highest_iv_rank_table = "| Symbol | Change (%) | Total Prem | IV Rank | Total OI |\n"
highest_iv_rank_table += "|:------:|:-----|------:|-----------:|-----------:|\n"
for item in combined_data["highest_iv_rank"]:
highest_iv_rank_table += (
f"| [{item['symbol']}](https://stocknear.com/stocks/{item['symbol']}) | {item['changesPercentage']:.2f}% | "
f"{format_number(item['totalPrem'])} | {item['ivRank']:.2f} | "
f"{format_number(item['totalOI'])} |\n"
)
# Create highest_iv_rank Table
highest_change_oi_table = "| Symbol | Change (%) | Total Prem | IV Rank | OI Change|\n"
highest_change_oi_table += "|:------:|:-----|------:|-----------:|-----------:|\n"
for item in combined_data["highest_change_oi"]:
highest_change_oi_table += (
f"| [{item['symbol']}](https://stocknear.com/stocks/{item['symbol']}) | {item['changesPercentage']:.2f}% | "
f"{format_number(item['totalPrem'])} | {item['ivRank']:.2f} | "
f"{format_number(item['changeOI'], decimal=True)} |\n"
)
# Construct final markdown text
return f"""
Here's a quick overview of the top companies that led the market today with the highest options premium, IV rank and notable open interest (OI) changes—highlighting key stocks that gained attention.
### Highest Options Premium
{highest_premium_table}
### Top IV Rank Leaders
{highest_iv_rank_table}
### Hottest Companies with highest OI Change
{highest_change_oi_table}
More info can be found at [Stocknear](https://stocknear.com/list)
"""
def create_post(post_data):
include_rsi = False
include_volume = post_data['data_type'] == 'penny-stocks'
@ -491,5 +585,17 @@ def post_to_reddit():
print(f"Error posting to Reddit: {str(e)}")
if post_type == 'option':
try:
formatted_content = format_option_data()
title = "Top Companies with the Highest Options Premiums, IV Rank and OI Change Today 🚀📉"
post = subreddit.submit(title, selftext=formatted_content, flair_id="b348676c-e451-11ee-8572-328509439585")
print(f"Post created successfully")
except Exception as e:
print(f"Error posting to Reddit: {str(e)}")
if __name__ == "__main__":
post_to_reddit()