AI Screener

AI Stock Screener Skill

AI-powered stock screening system inspired by TrendSpider, Trade Ideas (Holly AI), and Zen Ratings.

Overview

The AI Screener combines multiple analysis methods to identify high-potential trading opportunities:

• Multi-Factor Scoring: 100+ factors across Fundamentals, Technicals, Momentum, Sentiment
• Pattern Recognition: Automated chart pattern detection
• AI Neural Model: Trained on historical data to predict price movements
• Natural Language Queries: Ask in plain English (e.g., "show me oversold tech stocks with strong earnings")
• Real-time Scanning: Continuous market monitoring with alerts

Key Features

1. Multi-Factor Rating System (Inspired by Zen Ratings)

7 Component Grades:

Overall Rating: A (top 5%), B (top 20%), C (middle), D (bottom 20%), F (bottom 5%)

2. Automated Technical Analysis (Inspired by TrendSpider)

Auto-Detected Patterns:

• Head & Shoulders / Inverse
• Double Top / Double Bottom
• Triangles (Ascending, Descending, Symmetrical)
• Wedges (Rising, Falling)
• Flags and Pennants
• Cup and Handle
• Channels (Ascending, Descending)

Auto-Drawn Lines:

• Support and Resistance zones
• Trendlines
• Fibonacci retracements
• Moving Average crossovers

3. Holly AI (Inspired by Trade Ideas)

Entry Signal Detection:

• Scans all stocks every minute
• Identifies high-probability setups
• Provides entry, target, and stop-loss levels
• Confidence score (1-100)
• One-click trade execution

Holly's Daily Picks:

• Morning gap plays
• Momentum trades
• Mean reversion setups
• Breakout candidates

4. Natural Language Screening

Example Queries:

"Show me tech stocks under $50 with RSI below 30 and positive earnings growth"
"Find dividend stocks yielding over 4% with low debt"
"Which crypto has the highest momentum this week?"
"Stocks breaking out of consolidation today"

Usage

Quick Scan

import { AIScreener } from './ai-screener';

const screener = new AIScreener();

// Get top rated stocks
const topPicks = await screener.getTopRated({ 
  market: 'US_STOCKS',
  minRating: 'A',
  limit: 20 
});

// Natural language query
const results = await screener.query("oversold large cap tech stocks");

// Pattern scan
const patterns = await screener.scanPatterns({
  symbols: ['AAPL', 'GOOGL', 'MSFT', 'NVDA'],
  patterns: ['double_bottom', 'breakout']
});

Real-time Alerts

// Start real-time scanning
screener.startScanner({
  markets: ['US_STOCKS', 'CRYPTO'],
  conditions: [
    { type: 'breakout', threshold: 2 }, // 2% breakout
    { type: 'rsi', direction: 'oversold', threshold: 30 },
    { type: 'volume_spike', multiple: 3 } // 3x average volume
  ],
  onAlert: (alert) => {
    kit.notify(`🚨 ${alert.symbol}: ${alert.message}`);
  }
});

Factor Analysis

// Deep dive on a single stock
const analysis = await screener.analyze('NVDA');
console.log(analysis);
/*
{
  symbol: 'NVDA',
  overallRating: 'A',
  confidence: 87,
  grades: {
    fundamentals: 'B',
    growth: 'A+',
    momentum: 'A',
    safety: 'B',
    sentiment: 'A',
    value: 'C',
    ai: 'A'
  },
  signals: [
    { type: 'MACD_CROSS', direction: 'bullish', strength: 'strong' },
    { type: 'ABOVE_50MA', days: 45 },
    { type: 'ANALYST_UPGRADE', source: 'Goldman Sachs', rating: 'Buy' }
  ],
  patterns: [
    { type: 'ascending_triangle', confidence: 78, breakout_target: 950 }
  ],
  aiPrediction: {
    direction: 'up',
    probability: 0.72,
    priceTarget: { '7d': 920, '30d': 980, '90d': 1050 }
  }
}
*/

Data Sources

• Price Data: TradingView, Alpha Vantage, Yahoo Finance
• Fundamentals: Financial Modeling Prep, Polygon.io
• Sentiment: Twitter/X, Reddit, StockTwits, News APIs
• Analyst Data: Benzinga, TipRanks, Zacks

AI Model Architecture

Input Layer (Features)
├── Technical Indicators (50+)
├── Fundamental Ratios (30+)
├── Sentiment Scores (10+)
├── Macro Indicators (10+)
└── Price Action (OHLCV patterns)
    ↓
Hidden Layers
├── LSTM for time series
├── Attention mechanism for feature importance
└── Ensemble with gradient boosting
    ↓
Output Layer
├── Direction (up/down/neutral)
├── Magnitude prediction
├── Confidence score
└── Time horizon (1d, 7d, 30d, 90d)

K.I.T. Advantages

Configuration

ai_screener:
  enabled: true
  markets:
    - US_STOCKS
    - CRYPTO
    - FOREX
  scan_interval: 60  # seconds
  ai_model: ensemble  # or 'lstm', 'gradient_boost'
  min_confidence: 70
  alerts:
    telegram: true
    discord: true
    email: false
  data_sources:
    prices: tradingview
    fundamentals: fmp
    sentiment: aggregated

Files

• ai-screener.ts - Main screener implementation
• factors.ts - Factor definitions and calculations
• patterns.ts - Chart pattern recognition
• nlp-query.ts - Natural language query parser
• models/ - Pre-trained AI models