SignalScope monitors Reddit, X/Twitter, SEC insider filings, congressional trades, options flow, and volume spikes — then uses AI to score, filter pump-and-dumps, and surface the tickers most likely to move.
8
Signal sources
13
P&D flags
4
Signal stages
From raw social chatter to validated, scored signals — SignalScope automates the entire pipeline.
Aggregates signals from 8 sources — Reddit, X/Twitter, SEC insider filings, congressional trades, options flow, StockTwits, volume data, and EDGAR — in a single scan.
AI models score every signal for breakout potential. XGBoost gradient boosting with SHAP analysis continuously refines thresholds as data grows.
13 statistical flags plus AI edge-case assessment to catch and remove manipulated tickers before they reach the dashboard.
Signals progress through Emerging, Building, Consensus, and Filtered stages as conviction grows across sources.
Automated price snapshots at 1d, 3d, 7d, and 30d. Cross-scan trending shows which tickers are gaining or losing momentum.
Track positions with real-time P&L. Connect any LLM via the Agent Skill to query signals and manage your portfolio.
Every scan runs through a five-stage pipeline — from raw social data to validated, scored breakout candidates.
Monitor Reddit, X/Twitter, SEC insider filings, congressional trades, options flow, and volume data for ticker mentions.
Group signals by symbol, count sources, and calculate mention velocity.
AI models evaluate breakout potential with confidence scores and reasoning.
13 statistical flags plus AI assessment catch pump-and-dump schemes.
Surviving tickers get fundamentals, a report, and enter the dashboard.
Monitor Reddit, X/Twitter, SEC insider filings, congressional trades, options flow, and volume data for ticker mentions.
Group signals by symbol, count sources, and calculate mention velocity.
AI models evaluate breakout potential with confidence scores and reasoning.
13 statistical flags plus AI assessment catch pump-and-dump schemes.
Surviving tickers get fundamentals, a report, and enter the dashboard.
Detailed scoring weights, AI prompts, and filtering methodology are available on the Methodology page after signing in.
Eight data feeds monitored on every scan — from social chatter to institutional filings.
17 subreddits including r/wallstreetbets, r/stocks, and r/pennystocks.
X API v2 searches for stock-related trending discussions.
Trending tickers for real-time retail sentiment.
C-suite purchases over $50K from OpenInsider and EDGAR.
Congressional stock purchases from STOCK Act disclosures.
Unusual call volume, OTM activity, and call sweeps.
Stocks trading at 2x+ average volume.
Recent Form 4 filings from the SEC EDGAR RSS feed.
SignalScope doesn't just detect signals — it measures what happens next and feeds the results back into the model.
Track prices
Automated snapshots at open & close
Measure returns
1d, 3d, 7d, 30d after detection
Train model
XGBoost gradient boosted ML
Optimize
Refine thresholds & filters
Every signal's real-world outcome is tracked and fed back into the model — so scoring, filtering, and stage assignments get smarter over time.
Connect any LLM to SignalScope via the Agent Skill and API — let AI query signals, manage your portfolio, and explore tickers on your behalf.
Generate a personal API key from your Profile page — one click.
Add the Agent Skill to Claude, ChatGPT, or any AI assistant.
"Show me trending tickers", "Add AAPL to my portfolio"
All endpoints require an API key. Generate one from your Profile page after signing in.