From 0c90fed0ebf1b9664b9614781a6c4a80848bf9e8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?P=C3=A5l-Kristian=20Hamre?= Date: Mon, 21 Jul 2025 21:33:49 +0200 Subject: [PATCH] Add deep dive function to get more into each single stock. --- rstat_tool/dashboard.py | 13 +++-- rstat_tool/database.py | 52 +++++++++++++++++++- rstat_tool/format_blacklist.py | 85 ++++++++++++++++++++++++++++++++ rstat_tool/main.py | 88 +++++++++++++--------------------- rstat_tool/ticker_extractor.py | 76 ++++++++++++++--------------- templates/base.html | 22 +++++++++ templates/deep_dive.html | 29 +++++++++++ templates/index.html | 2 +- templates/subreddit.html | 2 +- 9 files changed, 270 insertions(+), 99 deletions(-) create mode 100644 rstat_tool/format_blacklist.py create mode 100644 templates/deep_dive.html diff --git a/rstat_tool/dashboard.py b/rstat_tool/dashboard.py index 0b848c3..735521e 100644 --- a/rstat_tool/dashboard.py +++ b/rstat_tool/dashboard.py @@ -1,10 +1,12 @@ # rstat_tool/dashboard.py from flask import Flask, render_template +# --- FIX #1: Import the new function we need --- from .database import ( get_overall_summary, get_subreddit_summary, - get_all_scanned_subreddits + get_all_scanned_subreddits, + get_deep_dive_details ) app = Flask(__name__, template_folder='../templates') @@ -32,17 +34,22 @@ def inject_subreddits(): @app.route("/") def index(): """The handler for the main dashboard page.""" - # --- CHANGE HERE: Limit the data to the top 10 --- tickers = get_overall_summary(limit=10) return render_template("index.html", tickers=tickers) @app.route("/subreddit/") def subreddit_dashboard(name): """A dynamic route for per-subreddit dashboards.""" - # --- CHANGE HERE: Limit the data to the top 10 --- tickers = get_subreddit_summary(name, limit=10) return render_template("subreddit.html", tickers=tickers, subreddit_name=name) +@app.route("/deep-dive/") +def deep_dive(symbol): + """The handler for the deep-dive page for a specific ticker.""" + # --- FIX #2: Call the function directly, without the 'database.' prefix --- + posts = get_deep_dive_details(symbol) + return render_template("deep_dive.html", posts=posts, symbol=symbol) + def start_dashboard(): """The main function called by the 'rstat-dashboard' command.""" print("Starting Flask server...") diff --git a/rstat_tool/database.py b/rstat_tool/database.py index caf9b44..be64284 100644 --- a/rstat_tool/database.py +++ b/rstat_tool/database.py @@ -52,6 +52,20 @@ def initialize_db(): ) """) + cursor.execute(""" + CREATE TABLE IF NOT EXISTS posts ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + post_id TEXT NOT NULL UNIQUE, + title TEXT NOT NULL, + post_url TEXT, + subreddit_id INTEGER, + post_timestamp INTEGER, + comment_count INTEGER, + avg_comment_sentiment REAL, + FOREIGN KEY (subreddit_id) REFERENCES subreddits (id) + ) + """) + conn.commit() conn.close() print("Database initialized successfully.") @@ -195,4 +209,40 @@ def get_all_scanned_subreddits(): conn = get_db_connection() results = conn.execute("SELECT DISTINCT name FROM subreddits ORDER BY name ASC;").fetchall() conn.close() - return [row['name'] for row in results] \ No newline at end of file + return [row['name'] for row in results] + +def add_or_update_post_analysis(conn, post_data): + """ + Inserts a new post analysis record or updates an existing one. + This prevents duplicate entries for the same post. + """ + cursor = conn.cursor() + # Use the UNIQUE post_id to replace old data with new on conflict + cursor.execute( + """ + INSERT INTO posts (post_id, title, post_url, subreddit_id, post_timestamp, comment_count, avg_comment_sentiment) + VALUES (:post_id, :title, :post_url, :subreddit_id, :post_timestamp, :comment_count, :avg_comment_sentiment) + ON CONFLICT(post_id) DO UPDATE SET + comment_count = excluded.comment_count, + avg_comment_sentiment = excluded.avg_comment_sentiment; + """, + post_data + ) + conn.commit() + +def get_deep_dive_details(ticker_symbol): + """ + Gets all analyzed posts that mention a specific ticker. + """ + conn = get_db_connection() + query = """ + SELECT DISTINCT p.*, s.name as subreddit_name FROM posts p + JOIN mentions m ON p.post_id = m.post_id + JOIN tickers t ON m.ticker_id = t.id + JOIN subreddits s ON p.subreddit_id = s.id + WHERE t.symbol = ? + ORDER BY p.post_timestamp DESC; + """ + results = conn.execute(query, (ticker_symbol,)).fetchall() + conn.close() + return results \ No newline at end of file diff --git a/rstat_tool/format_blacklist.py b/rstat_tool/format_blacklist.py new file mode 100644 index 0000000..3e1f2a6 --- /dev/null +++ b/rstat_tool/format_blacklist.py @@ -0,0 +1,85 @@ +# The initial unsorted set of words. +# Note: In Python, a 'set' is inherently unordered, but we define it here for clarity. +COMMON_WORDS_BLACKLIST = { + "401K", "403B", "457B", "ABOUT", "ABOVE", "ADAM", "AEDT", "AEST", "AH", "AI", + "ALL", "ALPHA", "ALSO", "AM", "AMA", "AMEX", "AND", "ANY", "AR", "ARE", + "AROUND", "ASAP", "ASS", "ASSET", "AT", "ATH", "ATL", "ATM", "AUD", "BABY", + "BAG", "BAGS", "BE", "BEAR", "BELOW", "BETA", "BIG", "BIS", "BLEND", "BOE", + "BOJ", "BOMB", "BOND", "BOTH", "BOTS", "BRB", "BRL", "BS", "BST", "BTC", + "BTW", "BULL", "BUST", "BUT", "BUY", "BUZZ", "CAD", "CALL", "CAN", "CAP", + "CEO", "CEST", "CET", "CFO", "CHF", "CHIPS", "CIA", "CLOSE", "CNY", "COME", + "COST", "COULD", "CPAP", "CPI", "CST", "CTB", "CTO", "CYCLE", "CZK", "DAO", + "DATE", "DAX", "DAY", "DCA", "DD", "DEBT", "DIA", "DIV", "DJIA", "DKK", + "DM", "DO", "DOE", "DOGE", "DONT", "DR", "EACH", "EARLY", "EARN", "ECB", + "EDGAR", "EDIT", "EDT", "END", "EOD", "EOW", "EOY", "EPS", "ER", "ESG", + "EST", "ETF", "ETH", "EU", "EUR", "EV", "EVEN", "EVERY", "FAQ", "FAR", + "FAST", "FBI", "FDA", "FIHTX", "FINRA", "FINT", "FINTX", "FINTY", "FOMC", "FOMO", + "FOR", "FRAUD", "FRG", "FROM", "FSPSX", "FTSE", "FUCK", "FUD", "FULL", "FUND", + "FXAIX", "FXIAX", "FY", "FYI", "FZROX", "GAIN", "GBP", "GDP", "GET", "GL", + "GLHF", "GMT", "GO", "GOAL", "GOAT", "GOING", "GPT", "GPU", "GRAB", "GTG", + "HALF", "HAS", "HATE", "HAVE", "HEAR", "HEDGE", "HIGH", "HINT", "HKD", "HODL", + "HOLD", "HOUR", "HSA", "HUF", "IF", "II", "IMHO", "IMO", "IN", "INR", + "IP", "IPO", "IRA", "IRS", "IS", "ISM", "IST", "IT", "ITM", "IV", + "IVV", "IWM", "JPOW", "JPY", "JST", "JUST", "KARMA", "KEEP", "KNOW", "KO", + "KRW", "LARGE", "LAST", "LATE", "LATER", "LBO", "LEAP", "LEAPS", "LETS", "LFG", + "LIKE", "LIMIT", "LMAO", "LOL", "LONG", "LOOK", "LOSS", "LOVE", "LOW", "M&A", + "MA", "MAKE", "MAX", "MC", "ME", "MID", "MIGHT", "MIN", "ML", "MOASS", + "MONTH", "MORE", "MSK", "MUST", "MXN", "MY", "NATO", "NEAR", "NEED", "NEVER", + "NEW", "NEXT", "NFA", "NFT", "NGMI", "NIGHT", "NO", "NOK", "NONE", "NOT", + "NOW", "NSA", "NULL", "NYSE", "NZD", "OEM", "OF", "OK", "OLD", "ON", + "OP", "OR", "OS", "OTC", "OTM", "OUGHT", "OUT", "OVER", "OWN", "PC", + "PDT", "PE", "PEAK", "PEG", "PEW", "PLAN", "PLN", "PM", "PMI", "POS", + "PPI", "PR", "PRICE", "PROFIT", "PSA", "PST", "PT", "PUT", "Q1", "Q2", + "Q3", "Q4", "QQQ", "RBA", "RBNZ", "RE", "REAL", "REIT", "REKT", "RH", + "RIP", "RISK", "ROE", "ROFL", "ROI", "ROTH", "RSD", "RUB", "RULE", "SAVE", + "SCALP", "SCAM", "SCHB", "SEC", "SEE", "SEK", "SELL", "SEP", "SGD", "SHALL", + "SHARE", "SHORT", "SL", "SMALL", "SO", "SOLIS", "SOME", "SOON", "SP", "SPAC", + "SPEND", "SPLG", "SPX", "SPY", "START", "STILL", "STOCK", "STOP", "SWING", "TAKE", + "TERM", "THAT", "THE", "THINK", "THIS", "TIME", "TITS", "TL", "TL;DR", "TLDR", + "TO", "TODAY", "TOTAL", "TRADE", "TREND", "TRUE", "TRY", "TTYL", "TWO", "UI", + "UK", "UNDER", "UP", "US", "USA", "USD", "UTC", "VALUE", "VOO", "VR", + "VTI", "WAGMI", "WANT", "WATCH", "WAY", "WE", "WEB3", "WEEK", "WHO", "WHY", + "WILL", "WORTH", "WOULD", "WSB", "WTF", "YES", "YET", "YIELD", "YOLO", "YOU", + "YOUR", "YTD", "ZAR" +} + +def format_and_print_list(word_set, words_per_line=10): + """ + Sorts a set of words and prints it in a specific format. + + Args: + word_set (set): The set of words to process. + words_per_line (int): The number of words to print on each line. + """ + # 1. Convert the set to a list to ensure order, and sort it alphabetically. + # The set is also used to remove any duplicates from the initial list. + sorted_words = sorted(list(word_set)) + + # 2. Start printing the output + print("COMMON_WORDS_BLACKLIST = {") + + # 3. Iterate through the sorted list and print words, respecting the line limit + for i in range(0, len(sorted_words), words_per_line): + # Get a chunk of words for the current line + line_chunk = sorted_words[i:i + words_per_line] + + # Format each word with double quotes + formatted_words = [f'"{word}"' for word in line_chunk] + + # Join the words with a comma and a space + line_content = ", ".join(formatted_words) + + # Add a trailing comma if it's not the last line + is_last_line = (i + words_per_line) >= len(sorted_words) + if not is_last_line: + line_content += "," + + # Print the indented line + print(f" {line_content}") + + # 4. Print the closing brace + print("}") + +# --- Main execution --- +if __name__ == "__main__": + format_and_print_list(COMMON_WORDS_BLACKLIST) \ No newline at end of file diff --git a/rstat_tool/main.py b/rstat_tool/main.py index 9c48d80..5855fd5 100644 --- a/rstat_tool/main.py +++ b/rstat_tool/main.py @@ -1,4 +1,4 @@ -# main.py +# rstat_tool/main.py import argparse import json @@ -9,7 +9,6 @@ import praw import yfinance as yf from dotenv import load_dotenv -# Import local modules from . import database from .ticker_extractor import extract_tickers from .sentiment_analyzer import get_sentiment_score @@ -17,7 +16,6 @@ from .sentiment_analyzer import get_sentiment_score load_dotenv() MARKET_CAP_REFRESH_INTERVAL = 86400 -# (load_subreddits, get_market_cap, get_reddit_instance functions are unchanged) def load_subreddits(filepath): try: with open(filepath, 'r') as f: @@ -38,11 +36,13 @@ def get_reddit_instance(): client_secret = os.getenv("REDDIT_CLIENT_SECRET") user_agent = os.getenv("REDDIT_USER_AGENT") if not all([client_id, client_secret, user_agent]): - print("Error: Reddit API credentials not found.") + print("Error: Reddit API credentials not found in .env file.") return None + + # --- THIS IS THE CORRECTED LINE --- + # The argument is 'client_secret', not 'secret_client'. return praw.Reddit(client_id=client_id, client_secret=client_secret, user_agent=user_agent) -# --- UPDATED: Function now accepts post_limit and comment_limit --- def scan_subreddits(reddit, subreddits_list, post_limit=25, comment_limit=100): """Scans subreddits, analyzes posts and comments, and stores results in the database.""" conn = database.get_db_connection() @@ -54,8 +54,10 @@ def scan_subreddits(reddit, subreddits_list, post_limit=25, comment_limit=100): subreddit = reddit.subreddit(subreddit_name) print(f"Scanning r/{subreddit_name}...") - for submission in subreddit.new(limit=post_limit): - # --- 1. Process the Post Title and Body --- + for submission in subreddit.hot(limit=post_limit): + + # --- LOGIC PART 1: PROCESS INDIVIDUAL MENTIONS --- + # 1a. Process the Post Title and Body for mentions post_text = submission.title + " " + submission.selftext tickers_in_post = extract_tickers(post_text) post_sentiment = get_sentiment_score(submission.title) @@ -63,7 +65,7 @@ def scan_subreddits(reddit, subreddits_list, post_limit=25, comment_limit=100): for ticker_symbol in set(tickers_in_post): ticker_id = database.get_or_create_entity(conn, 'tickers', 'symbol', ticker_symbol) database.add_mention(conn, ticker_id, subreddit_id, submission.id, int(submission.created_utc), post_sentiment) - # (Market cap logic remains the same) + ticker_info = database.get_ticker_info(conn, ticker_id) current_time = int(time.time()) if not ticker_info['last_updated'] or (current_time - ticker_info['last_updated'] > MARKET_CAP_REFRESH_INTERVAL): @@ -71,28 +73,32 @@ def scan_subreddits(reddit, subreddits_list, post_limit=25, comment_limit=100): market_cap = get_market_cap(ticker_symbol) database.update_ticker_market_cap(conn, ticker_id, market_cap or ticker_info['market_cap']) - # --- 2. Process the Comments --- - # Expand "MoreComments" objects. limit=None means we try to get all, but PRAW is protective. - # A limit of 32 is the max PRAW will do in a single call. We'll iterate to be safe. - submission.comments.replace_more(limit=10) - comment_count = 0 - for comment in submission.comments.list(): - if comment_count >= comment_limit: - break # Stop processing comments for this post if we hit our limit - + # 1b. Process Comments for mentions + submission.comments.replace_more(limit=0) + for comment in submission.comments.list()[:comment_limit]: tickers_in_comment = extract_tickers(comment.body) if not tickers_in_comment: - continue # Skip comments that don't mention any tickers - + continue comment_sentiment = get_sentiment_score(comment.body) - for ticker_symbol in set(tickers_in_comment): ticker_id = database.get_or_create_entity(conn, 'tickers', 'symbol', ticker_symbol) - # We use the submission.id as the post_id to group mentions correctly database.add_mention(conn, ticker_id, subreddit_id, submission.id, int(comment.created_utc), comment_sentiment) - - comment_count += 1 + + # --- LOGIC PART 2: DEEP DIVE ANALYSIS --- + all_comment_sentiments = [] + for comment in submission.comments.list()[:comment_limit]: + all_comment_sentiments.append(get_sentiment_score(comment.body)) + avg_sentiment = sum(all_comment_sentiments) / len(all_comment_sentiments) if all_comment_sentiments else 0 + + post_analysis_data = { + "post_id": submission.id, "title": submission.title, + "post_url": f"https://reddit.com{submission.permalink}", + "subreddit_id": subreddit_id, "post_timestamp": int(submission.created_utc), + "comment_count": len(all_comment_sentiments), "avg_comment_sentiment": avg_sentiment + } + database.add_or_update_post_analysis(conn, post_analysis_data) + except Exception as e: print(f"Could not scan r/{subreddit_name}. Error: {e}") @@ -100,50 +106,24 @@ def scan_subreddits(reddit, subreddits_list, post_limit=25, comment_limit=100): print("\n--- Scan Complete ---") def main(): - """Main function to run the Reddit stock analysis tool.""" - parser = argparse.ArgumentParser( - description="Analyze stock ticker mentions on Reddit.", - formatter_class=argparse.RawTextHelpFormatter # For better help text formatting - ) - - # --- Existing Argument --- + parser = argparse.ArgumentParser(description="Analyze stock ticker mentions on Reddit.", formatter_class=argparse.RawTextHelpFormatter) parser.add_argument("config_file", help="Path to the JSON file containing subreddits.") - - # --- NEW Arguments --- - parser.add_argument( - "-p", "--posts", - type=int, - default=25, - help="Number of posts to scan per subreddit.\n(Default: 25)" - ) - parser.add_argument( - "-c", "--comments", - type=int, - default=100, - help="Number of comments to scan per post.\n(Default: 100)" - ) - parser.add_argument( - "-l", "--limit", - type=int, - default=20, - help="Number of tickers to show in the final report.\n(Default: 20)" - ) + parser.add_argument("-p", "--posts", type=int, default=25, help="Number of posts to scan per subreddit.\n(Default: 25)") + parser.add_argument("-c", "--comments", type=int, default=100, help="Number of comments to scan per post.\n(Default: 100)") + parser.add_argument("-l", "--limit", type=int, default=20, help="Number of tickers to show in the final report.\n(Default: 20)") args = parser.parse_args() - # --- Initialize and Run --- database.initialize_db() database.clean_stale_tickers() - + subreddits = load_subreddits(args.config_file) if not subreddits: return reddit = get_reddit_instance() if not reddit: return - # Pass the command-line arguments to the functions scan_subreddits(reddit, subreddits, post_limit=args.posts, comment_limit=args.comments) database.generate_summary_report(limit=args.limit) - if __name__ == "__main__": main() \ No newline at end of file diff --git a/rstat_tool/ticker_extractor.py b/rstat_tool/ticker_extractor.py index 9a5523e..a1071e7 100644 --- a/rstat_tool/ticker_extractor.py +++ b/rstat_tool/ticker_extractor.py @@ -5,50 +5,48 @@ import re # A set of common English words and acronyms that look like stock tickers. # This helps reduce false positives. COMMON_WORDS_BLACKLIST = { - "401K", "403B", "457B", "ABOUT", "ABOVE", "ADAM", "AEDT", "AEST", "AH", - "AI", "ALL", "ALPHA", "ALSO", "AM", "AMA", "AMEX", "AND", "ANY", "AR", - "ARE", "AROUND", "ASAP", "ASS", "ASSET", "AT", "ATH", "ATL", "ATM", - "AUD", "BE", "BEAR", "BELOW", "BETA", "BIG", "BIS", "BLEND", "BOE", - "BOJ", "BOMB", "BOND", "BOTS", "BRB", "BRL", "BS", "BST", "BTC", "BTW", - "BULL", "BUT", "BUY", "BUZZ", "CAD", "CAN", "CEO", "CEST", "CET", "CFO", - "CHF", "CIA", "CLOSE", "CNY", "COME", "COST", "COULD", "CPI", "CST", - "CTB", "CTO", "CYCLE", "CZK", "DAO", "DATE", "DAX", "DAY", "DCA", "DD", - "DEBT", "DIA", "DIV", "DJIA", "DKK", "DM", "DO", "DOGE", "DONT", "DR", - "EACH", "EARLY", "EARN", "ECB", "EDGAR", "EDIT", "EDT", "END", "EPS", - "ER", "ESG", "EST", "ETF", "ETH", "EU", "EUR", "EV", "EVERY", "FAQ", - "FAR", "FAST", "FBI", "FDA", "FIHTX", "FINRA", "FINT", "FINTX", "FINTY", - "FOMC", "FOMO", "FOR", "FRAUD", "FRG", "FSPSX", "FTSE", "FUCK", "FUD", - "FULL", "FUND", "FXAIX", "FXIAX", "FY", "FYI", "FZROX", "GAIN", "GBP", - "GDP", "GET", "GMT", "GO", "GOAL", "GPU", "GRAB", "GTG", "HAS", "HAVE", - "HATE", "HEAR", "HEDGE", "HIGH", "HINT", "HKD", "HODL", "HOLD", "HOUR", - "HSA", "HUF", "IF", "IMHO", "IMO", "IN", "INR", "IP", "IPO", "IRA", + "401K", "403B", "457B", "ABOUT", "ABOVE", "ADAM", "AEDT", "AEST", "AH", "AI", + "ALL", "ALPHA", "ALSO", "AM", "AMA", "AMEX", "AND", "ANY", "AR", "ARE", + "AROUND", "ASAP", "ASS", "ASSET", "AT", "ATH", "ATL", "ATM", "AUD", "BABY", + "BAG", "BAGS", "BE", "BEAR", "BELOW", "BETA", "BIG", "BIS", "BLEND", "BOE", + "BOJ", "BOMB", "BOND", "BOTH", "BOTS", "BRB", "BRL", "BS", "BST", "BTC", + "BTW", "BULL", "BUST", "BUT", "BUY", "BUZZ", "CAD", "CALL", "CAN", "CEO", + "CEST", "CET", "CFO", "CHF", "CHIPS", "CIA", "CLOSE", "CNY", "COME", "COST", + "COULD", "CPI", "CST", "CTB", "CTO", "CYCLE", "CZK", "DAO", "DATE", "DAX", + "DAY", "DCA", "DD", "DEBT", "DIA", "DIV", "DJIA", "DKK", "DM", "DO", + "DOE", "DOGE", "DONT", "DR", "EACH", "EARLY", "EARN", "ECB", "EDGAR", "EDIT", + "EDT", "END", "EOD", "EOW", "EOY", "EPS", "ER", "ESG", "EST", "ETF", + "ETH", "EU", "EUR", "EV", "EVEN", "EVERY", "FAQ", "FAR", "FAST", "FBI", + "FDA", "FIHTX", "FINRA", "FINT", "FINTX", "FINTY", "FOMC", "FOMO", "FOR", "FRAUD", + "FRG", "FROM", "FSPSX", "FTSE", "FUCK", "FUD", "FULL", "FUND", "FXAIX", "FXIAX", + "FY", "FYI", "FZROX", "GAIN", "GBP", "GDP", "GET", "GL", "GLHF", "GMT", + "GO", "GOAL", "GOAT", "GOING", "GPU", "GRAB", "GTG", "HALF", "HAS", "HATE", + "HAVE", "HEAR", "HEDGE", "HIGH", "HINT", "HKD", "HODL", "HOLD", "HOUR", "HSA", + "HUF", "IF", "II", "IMHO", "IMO", "IN", "INR", "IP", "IPO", "IRA", "IRS", "IS", "ISM", "IST", "IT", "ITM", "IV", "IVV", "IWM", "JPOW", - "JPY", "JST", "JUST", "KARMA", "KNOW", "KO", "KRW", "LARGE", "LAST", - "LATE", "LATER", "LBO", "LEAP", "LEAPS", "LETS", "LFG", "LIKE", "LIMIT", - "LMAO", "LOL", "LONG", "LOOK", "LOSS", "LOVE", "LOW", "M&A", "MAKE", - "MAX", "MC", "ME", "MID", "MIGHT", "MIN", "ML", "MOASS", "MONTH", "MSK", - "MUST", "MXN", "MY", "NATO", "NEAR", "NEED", "NEVER", "NEW", "NEXT", - "NFA", "NFT", "NGMI", "NIGHT", "NO", "NOK", "NONE", "NOT", "NOW", "NSA", - "NULL", "NZD", "NYSE", "OF", "OK", "OLD", "ON", "OP", "OPEN", "OR", + "JPY", "JST", "JUST", "KARMA", "KEEP", "KNOW", "KO", "KRW", "LARGE", "LAST", + "LATE", "LATER", "LBO", "LEAP", "LEAPS", "LETS", "LFG", "LIKE", "LIMIT", "LMAO", + "LOL", "LONG", "LOOK", "LOSS", "LOVE", "LOW", "M&A", "MA", "MAKE", "MAX", + "MC", "ME", "MID", "MIGHT", "MIN", "ML", "MOASS", "MONTH", "MORE", "MSK", + "MUST", "MXN", "MY", "NATO", "NEAR", "NEED", "NEVER", "NEW", "NEXT", "NFA", + "NFT", "NGMI", "NIGHT", "NO", "NOK", "NONE", "NOT", "NOW", "NSA", "NULL", + "NYSE", "NZD", "OEM", "OF", "OK", "OLD", "ON", "OP", "OR", "OS", "OTC", "OTM", "OUGHT", "OUT", "OVER", "OWN", "PC", "PDT", "PE", "PEAK", "PEG", "PEW", "PLAN", "PLN", "PM", "PMI", "POS", "PPI", "PR", "PRICE", - "PROFIT", "PSA", "PST", "Q1", "Q2", "Q3", "Q4", "QQQ", "RBA", "RBNZ", - "RE", "REAL", "REIT", "REKT", "RH", "RIP", "RISK", "ROE", "ROFL", "ROI", - "ROTH", "RSD", "RUB", "RULE", "SAVE", "SCALP", "SCAM", "SCHB", "SEC", - "SEE", "SEK", "SELL", "SEP", "SGD", "SHALL", "SHARE", "SHORT", "SO", - "SOME", "SOON", "SP", "SPAC", "SPEND", "SPLG", "SPX", "SPY", "START", - "STILL", "STOCK", "STOP", "SWING", "TAKE", "TERM", "THAT", "THE", "THINK", - "THIS", "TIME", "TITS", "TL", "TL;DR", "TLDR", "TO", "TODAY", "TOTAL", - "TRADE", "TREND", "TRUE", "TRY", "TTYL", "TWO", "UI", "UK", "UNDER", - "UP", "US", "USA", "USD", "UTC", "VTI", "VALUE", "VOO", "VR", "WAGMI", - "WANT", "WATCH", "WAY", "WE", "WEB3", "WEEK", "WHO", "WHY", "WILL", - "WORTH", "WOULD", "WSB", "WTF", "YET", "YIELD", "YES", "YOLO", "YOU", - "ZAR", - "YOUR", "BABY", "BAG", "BAGS", "GL", "GLHF", "EOD", "EOW", "EOY", "GOING", "KEEP", - "MORE", "PUT", "CALL", "YTD", "BOTH", "BUST", "EVEN", "FROM", "GOAT", "HALF", - "SL", "OS", "SOLIS", "OEM", "MA", "DOE", "II", "CHIPS" + "PROFIT", "PSA", "PST", "PUT", "Q1", "Q2", "Q3", "Q4", "QQQ", "RBA", + "RBNZ", "RE", "REAL", "REIT", "REKT", "RH", "RIP", "RISK", "ROE", "ROFL", + "ROI", "ROTH", "RSD", "RUB", "RULE", "SAVE", "SCALP", "SCAM", "SCHB", "SEC", + "SEE", "SEK", "SELL", "SEP", "SGD", "SHALL", "SHARE", "SHORT", "SL", "SO", + "SOLIS", "SOME", "SOON", "SP", "SPAC", "SPEND", "SPLG", "SPX", "SPY", "START", + "STILL", "STOCK", "STOP", "SWING", "TAKE", "TERM", "THAT", "THE", "THINK", "THIS", + "TIME", "TITS", "TL", "TL;DR", "TLDR", "TO", "TODAY", "TOTAL", "TRADE", "TREND", + "TRUE", "TRY", "TTYL", "TWO", "UI", "UK", "UNDER", "UP", "US", "USA", + "USD", "UTC", "VALUE", "VOO", "VR", "VTI", "WAGMI", "WANT", "WATCH", "WAY", + "WE", "WEB3", "WEEK", "WHO", "WHY", "WILL", "WORTH", "WOULD", "WSB", "WTF", + "YES", "YET", "YIELD", "YOLO", "YOU", "YOUR", "YTD", "ZAR" } + def extract_tickers(text): """ Extracts potential stock tickers from a given piece of text. diff --git a/templates/base.html b/templates/base.html index 3e8ffc8..8aa2c9f 100644 --- a/templates/base.html +++ b/templates/base.html @@ -71,6 +71,28 @@ .sentiment-bullish { color: #28a745; font-weight: 600; } .sentiment-bearish { color: #dc3545; font-weight: 600; } .sentiment-neutral { color: #6c757d; } + + .post-card { + border: 1px solid #e0e0e0; + border-radius: 8px; + padding: 1.5rem; + margin-bottom: 1.5rem; + } + .post-card h3 { + margin-top: 0; + font-size: 1.2rem; + } + .post-card h3 a { + color: #0056b3; + text-decoration: none; + } + .post-card h3 a:hover { + text-decoration: underline; + } + .post-meta { + font-size: 0.9rem; + color: #666; + } diff --git a/templates/deep_dive.html b/templates/deep_dive.html new file mode 100644 index 0000000..5ccde64 --- /dev/null +++ b/templates/deep_dive.html @@ -0,0 +1,29 @@ +{% extends "base.html" %} + +{% block title %}Deep Dive: {{ symbol }}{% endblock %} + +{% block content %} +

Deep Dive Analysis for: {{ symbol }}

+

Showing posts that mention {{ symbol }}, sorted by most recent.

+ + {% for post in posts %} +
+

{{ post.title }}

+
+ r/{{ post.subreddit_name }} | + {{ post.comment_count }} comments analyzed | + Avg. Sentiment: + {% if post.avg_comment_sentiment > 0.1 %} + {{ "%.2f"|format(post.avg_comment_sentiment) }} + {% elif post.avg_comment_sentiment < -0.1 %} + {{ "%.2f"|format(post.avg_comment_sentiment) }} + {% else %} + {{ "%.2f"|format(post.avg_comment_sentiment) }} + {% endif %} + +
+
+ {% else %} +

No analyzed posts found for this ticker. Run the 'rstat' scraper to gather data.

+ {% endfor %} +{% endblock %} \ No newline at end of file diff --git a/templates/index.html b/templates/index.html index 5211a90..66d47ee 100644 --- a/templates/index.html +++ b/templates/index.html @@ -16,7 +16,7 @@ {% for ticker in tickers %} - {{ ticker.symbol }} + {{ ticker.symbol }} {{ ticker.mention_count }} {{ ticker.market_cap | format_mc }} diff --git a/templates/subreddit.html b/templates/subreddit.html index 037142c..efd87e8 100644 --- a/templates/subreddit.html +++ b/templates/subreddit.html @@ -16,7 +16,7 @@ {% for ticker in tickers %} - {{ ticker.symbol }} + {{ ticker.symbol }} {{ ticker.mention_count }} {{ ticker.market_cap | format_mc }}