TradingIntel

Total Signals

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Long

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Short

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Avg Score

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Avg Confidence

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Top Gainer

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#	Symbol	Name	Price	Change	Volume	Dir	Score	Conf	Rec	Move	Mkt Cap	Rationale
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📈 Price History

📊 Price & Volume

🤖 AI Score & Signals

📋 Fundamentals

📐 Feature Readout

📊 Trade Activity Summary

✂️ Stock Split

👤 Insider Trades (90 days)

🏛️ Congress Trades (90 days)

🏦 Institutional Holdings (13F filings)

📰 Recent Documents & Catalysts

🤖 Signal Filters

Direction

Min Score

Min Confidence %

Min Expected Move (basis points)

100bp = 1% move. Set to 50+ to see only meaningful opportunities.

Max Results

📋 Stock Filters

Price Range ($)

Market Cap Range

Exclude ETFs & Funds

Sectors (leave empty = all)

Ctrl+click to select multiple. Ctrl+click selected to deselect.

📊 Volume & Momentum

Min Volume (absolute)

Min Volume vs Average (x ratio)

Unusual volume = institutional interest or catalyst confirmation.

Min Absolute Change %

Only show stocks already moving by this % or more.

📐 Technical Position

52-Week High Proximity

Stocks near highs often have momentum and breakout potential.

52-Week Low Proximity

Stocks near lows may be bounce candidates (contrarian).

Moving Average Position

MA position indicates trend. Above = bullish, below = bearish.

🛡️ Risk Gates

Min Dollar Volume (price × volume)

Ensures enough liquidity to enter/exit positions.

Max Spread %

Exclude penny stocks (under $1)

🔔 Notifications

Score Jump Threshold

New entrant alerts

Halt/SSR alerts

Filters apply to your dashboard view. Scoring engine runs globally.

📊 Score (0–100)

The Score is a composite number from 0 to 100 that represents the overall strength of an AI-detected trading opportunity. Higher scores indicate stronger signals with more supporting evidence.

It combines three components:

Directional Signal (35%)AI sentiment analysis — how bullish or bearish the detected catalysts are. Derived from GPT's evaluation of news, earnings, and events.

Catalyst Signal (30%)Impact momentum — how significant and recent the catalysts are. High-impact events like earnings surprises or FDA decisions score higher than routine news.

Market Signal (25%)Technical confirmation from price velocity, volume spikes, and volatility expansion. Validates that the market is reacting to the catalyst.

Risk Penalty (-10%)Deductions for low liquidity, wide spreads, unreliable sources, halt risk, or contradictory signals.

60+ Strong 30 Moderate <30 Weak

🎯 Confidence (0–100%)

Confidence measures how reliable the score is — not how big the move will be, but how much you should trust the signal. A high score with low confidence means the signal is strong but uncertain.

Confidence is calculated from:

AI ConfidenceGPT's own assessment of how certain it is about the event interpretation. Ambiguous or speculative catalysts get lower AI confidence.

Liquidity ScoreHow easily the stock can be traded. Thin volume or wide spreads reduce confidence because execution is uncertain.

Source ReliabilityQuality of the data source. Major news wires and SEC filings are weighted higher than social media or unverified rumors.

50%+ High — act with conviction 25–49% Moderate — use caution <25% Low — monitor only

🧭 Direction

LONG indicates the AI expects the price to rise. SHORT indicates the AI expects the price to fall. Direction is determined by the sign of the raw score before taking its absolute value.

📏 Expected Move (basis points)

Estimated price movement in basis points (100bp = 1%). This is a heuristic based on catalyst impact, price velocity, and volume — not a prediction. Use it to gauge the magnitude of the opportunity, not as a price target.

💡 Recommendation

The Recommendation synthesizes Score, Confidence, Direction, and signal quality into a single actionable label. This is decision support — not investment advice.

Strong Buy ★★★

Score ≥ 50, Confidence ≥ 35%, AI catalyst confirmed, volume spike confirms. Highest conviction signal.

Strong Buy ★★

Score ≥ 50, Confidence ≥ 35%, no contradictory signals. Strong but without volume confirmation.

Buy

Score ≥ 30, Confidence ≥ 20%. Solid signal with reasonable conviction.

Buy — Mixed Signals

Meets Buy criteria but contradictory signals present. Proceed with caution.

Speculative Buy

Score ≥ 15 but low confidence, no AI catalyst, or thin data. Higher risk.

Watch

Score too low or conflicting signals too strong to act on. Monitor for developments.

Short-side equivalents (Strong Short, Short, Speculative Short) use the same thresholds for bearish direction.

📡 All Data Points Tracked

Complete inventory of every data source, feature, and signal that feeds into opportunity scoring. Data flows through the pipeline: Sources → Ingestion → AI Analysis → Feature Engineering → Scoring → Ranking.

📈 Market Data (Real-Time)

Source: Tiingo + FMP • Refresh: every 60 seconds during market hours

Last Price	Current traded price
Bid / Ask	Best bid and ask (when available)
OHLCV Bars	Open/High/Low/Close/Volume — 1m, 5m, 15m, 1h, daily
Volume	Current session volume
Avg Volume (30d)	30-day average daily volume
Day High / Low	Intraday high and low prices
Previous Close	Prior session closing price
Change / Change %	Dollar and percentage change from previous close
Market Cap	Total market capitalization
P/E Ratio	Price-to-earnings ratio (trailing)
52-Week High / Low	Annual price range

🌐 Ticker Universe (Reference)

Source: FMP Screener • Refresh: daily via Universe Seeder

Symbol	Ticker symbol (e.g., AAPL)
Exchange	NYSE, NASDAQ, AMEX
Company Name	Full entity name
Sector / Industry	GICS sector and industry classification
Is Active	Whether ticker is currently tradeable

🤖 AI Analysis (GPT-4.5) (Per Document)

Source: GPT-4.5 structured extraction • Trigger: each new document ingested

Sentiment Score	-100 (extreme bearish) to +100 (extreme bullish)
Impact Level	0–100 significance rating for intraday effect
Bullish Probability	0.0–1.0 likelihood of upward movement
Bearish Probability	0.0–1.0 likelihood of downward movement
AI Confidence	0.0–1.0 model's certainty in its own assessment
Event Type	earnings, guidance, m&a, product, legal, macro, analyst, insider, layoffs, partnership, security_incident, regulatory, rumor, other
Time Sensitivity	immediate, intraday, or multi_day
Summary	≤600 char AI-written explanation of the event
Key Drivers	Up to 10 short driver strings explaining the signal
Risk Flags	halt_risk, low_liquidity, source_unreliable, contradictory, pump_risk, legal_uncertainty
Tickers Mentioned	All symbols referenced in the document
Numbers Mentioned	Key figures (EPS, revenue, guidance) with context
Model Version	GPT model used (e.g., gpt-4.5)
Prompt Version	Versioned prompt template for reproducibility

🔧 Computed Features (Per Scoring Cycle)

Computed every 1–5 minutes during market hours from raw data

vol_spike_ratio	Current 15m volume / avg 15m volume (30d) — detects unusual activity
price_velocity	(last_price − price_15m_ago) / price_15m_ago — momentum
atr_expansion	ATR_15m_today / ATR_15m_30d — volatility regime change
gap_pct	(premarket_open − prev_close) / prev_close — gap impact
news_density_60m	Count of documents in last 60 minutes — catalyst frequency
sentiment_weighted	avg(sentiment × impact) — AI-weighted signal strength
bull_bear_skew	bullish_prob − bearish_prob — directional tilt
impact_momentum	sum(impact_level last 60m) − prior 60m — catalyst acceleration
source_reliability	Weighted score by source type (SEC filings > news > social)
liquidity_score	Function of spread, volume, and price — risk gating

📰 Documents & News (Textual Intelligence)

Source: Tiingo News API • Refresh: every 30–120 seconds

Title	Headline text
Source	Vendor/publisher identifier
Source Type	news, ir, earnings, filing, social, internal
Published At	Original publication timestamp
Body Text	Full article/release content (cleaned)
Content Hash	SHA-256 for deduplication
URL	Link to original source
Language	Document language (default: en)

👤 Insider Trades (SEC Form 4)

Source: FMP API • Refresh: every 15 minutes

Reporting Name	Name of insider (officer, director, 10% owner)
Title / Role	CEO, CFO, Director, 10% Owner, etc.
Action	Buy (Acquisition) or Sell (Disposition)
Shares Transacted	Number of shares bought/sold
Price	Transaction price per share
Total Value	shares × price — dollar value of trade
Securities Owned	Post-transaction holding count
Transaction Date	When the trade occurred
Filing Date	When Form 4 was filed with SEC
SEC Filing URL	Link to original Form 4 filing

Scoring Impact: Insider buying aligned with signal direction → +10 point boost; confidence +10%

🏛️ Congress Trades (STOCK Act)

Source: FMP API (Senate + House) • Refresh: every ~60 minutes, top 50 tickers

Member Name	Full name of congress member
Chamber	Senate or House of Representatives
Office / District	State and district of the member
Transaction Type	purchase, sale, sale_partial, sale_full, exchange
Amount Range	e.g., "$1,001 – $15,000" (STOCK Act range format)
Estimated Value	Midpoint of reported range
Asset Description	Description of the security traded
Date Received	When disclosure was received by ethics office
Capital Gains >$200	Whether trade had capital gains over $200
Filing URL	Link to STOCK Act disclosure

Scoring Impact: Congress buying aligned with signal → +12 point boost (highest of all trade activity); confidence +12%. Stronger than insider trades due to well-documented informational advantage.

🏦 Institutional Holdings (SEC EDGAR 13F)

Source: SEC EDGAR — free, no API key • Refresh: every ~60 minutes

Fund Name	Investment manager / fund name
CIK	SEC Central Index Key of the filer
Issuer Name	Name of held company (as filed)
CUSIP	9-character security identifier
Title of Class	e.g., COM, COM CL A, CALL, PUT
Shares Held	Number of shares in position
Market Value ($)	Dollar value of position (post-2023: exact dollars)
Investment Discretion	SOLE, SHARED, or DEFINED
Put / Call	Options exposure indicator (when applicable)
Filing Date	When 13F was filed with SEC
Period of Report	Quarter-end date the filing covers
Accession Number	SEC filing identifier for audit trail

Scoring Impact: Institutional accumulation aligned with signal → +5 point boost. CUSIP→ticker mappings are self-learned and improve over time.
Note: 13F filings are quarterly with ~45 day reporting lag.

✂️ Stock Splits (Detection & Penalty)

Source: FMP API • Refresh: every 2 hours • Window: ±90 days

Symbol	Affected ticker
Split Date	Effective date of split
Ratio	e.g., 4:1, 10:1, 1:10 (reverse)
Forward / Reverse	Whether numerator > denominator
Days Since/Until	Age or countdown to split date

Scoring Impact: Splits distort price/volume signals causing false positives. Penalty: −20 pts within 7 days, −10 pts within 14 days, −5 pts within 30 days. Upcoming splits: −10 pts. Confidence: −15% within 14 days.

🏆 Scoring Outputs (Per Ticker Per Cycle)

Generated every 1–5 minutes, stored in scores table

Score	0–100 composite opportunity strength
Confidence	0.0–1.0 signal reliability
Direction	long or short
Expected Move (bp)	Estimated price movement in basis points
Horizon (minutes)	30 (immediate), 120 (intraday), or 390 (full day)
Rationale	Human-readable explanation of the signal
Supporting Signals	List of evidence supporting the direction
Contradicting Signals	List of evidence opposing the direction
Recommendation	Strong Buy/Buy/Speculative/Watch/Short variants
Inputs Snapshot	All feature + document IDs for reproducibility

📊 Outcomes & Calibration (Backtesting)

Labeled overnight for weight tuning • Stored in outcomes table

Realized Move (bp)	Actual price movement over the predicted horizon
Max Adverse (bp)	Maximum adverse excursion (worst drawdown)
Max Favorable (bp)	Maximum favorable excursion (best peak)
Realized Horizon (min)	Actual time to peak move

🛡️ Risk Filters (Hard Gates)

Applied before ranking — tickers failing these are excluded from Top 50

Min Dollar Volume	Minimum $ volume over last 20 minutes
Max Spread %	Maximum bid-ask spread percentage
Halt / SSR Detection	Trading halt or Short Sale Restriction active
Price Floor	Minimum price threshold (avoid penny stocks)
Blacklist	Manually excluded tickers

🧠 Self-Learning Maps (Auto-Growing)

Mapping tables that improve automatically as data flows through the system

CUSIP → Ticker	Maps 9-char CUSIPs from 13F filings to our symbols. Learned from each filing processed.
Issuer Name → Ticker	Maps 13F issuer names (e.g., "APPLE INC") to symbols. Uses 4-strategy fuzzy matching.
Company Aliases	Handles name variants by stripping suffixes (INC, CORP, LTD, etc.) and matching by prefix/contains.

📋 Data Source Summary

Source	Provider	Cost	Refresh	Data Type
Quotes & Bars	Tiingo + Alpaca	Included	60 sec	Real-time prices, OHLCV bars
News	Tiingo + Alpaca	Included	30–120 sec	Headlines + full text
Ticker Universe	Alpaca + FMP	Included	Daily	Active tradeable assets, seeding
Snapshots & Movers	Alpaca	Included	60 sec	Latest trade, quote, minute bar
Profiles & Fundamentals	FMP	Included	Daily	Sector, P/E, market cap
Insider Trades	FMP	Included	15 min	SEC Form 4
Congress Trades	FMP	Included	~60 min	STOCK Act (Senate + House)
Stock Splits	FMP	Included	2 hours	Calendar ±90 days
Institutional 13F	SEC EDGAR	Free	~60 min	13F-HR holdings (XML)
AI Analysis	OpenAI GPT-4.5	Per-token	Per document	Structured extraction

Top 50 Opportunities

Market MoversReal-time gainers, losers & most active from FMP

🟢 Top Gainers

🔴 Top Losers

🔥 Most Active

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