AI Stock Picker3,000+ Stocks Scored Daily
Our AI analyzes 51 features across 3,000+ stocks every trading day. Machine learning models trained on 10+ years of market data identify the best opportunities across 8 distinct investment strategies.
How Our AI Picks Stocks
From raw data to actionable stock picks in 5 automated steps, running every trading day.
Data Collection
Every trading day, we pull fresh financial data, prices, and fundamentals for 3,000+ US stocks.
Feature Engineering
Raw data is transformed into 51 predictive features per stock - ratios, growth rates, momentum signals.
ML Scoring
LightGBM models trained on 10+ years of data score each stock's expected forward return.
Portfolio Optimization
Top-ranked stocks are selected for each strategy with position sizing and risk constraints.
Signal Generation
Surgical changes (adds/removes) are identified and email alerts sent to subscribers.
51 Features Per Stock
Our ML models analyze a comprehensive set of fundamental and technical indicators.
Valuation
- P/E Ratio
- P/B Ratio
- EV/EBITDA
- Price/Sales
- PEG Ratio
Profitability
- ROE
- ROA
- ROIC
- Gross Margin
- Net Margin
Growth
- Revenue Growth
- EPS Growth
- Book Value Growth
- Earnings Surprise
Momentum
- 1M Return
- 3M Return
- 6M Return
- 12M Return
- RSI
Risk
- Beta
- Volatility
- Max Drawdown
- Sharpe Ratio
Quality
- Debt/Equity
- Current Ratio
- Interest Coverage
- Altman Z-Score
Plus sector indicators, market cap categories, trading volume metrics, and more.
AI Stock Picking Across 8 Strategies
Each strategy has its own ML model optimized for different investment objectives.
Value Strategy
Finds undervalued stocks with low P/E, strong cash flow
- P/E < market median
- Positive free cash flow
- Low debt/equity
Growth Strategy
High-growth companies with strong momentum
- Revenue growth > 15%
- Positive earnings trend
- High ROE
Dividend Strategy
Income-focused with stable, high-yield stocks
- Dividend yield > 2%
- Payout ratio < 80%
- 10+ year dividend history
Adaptive Strategy
AI detects market regime and adjusts automatically
- Bull/bear detection
- Dynamic allocation
- Risk-adjusted positioning
Validated, Not Just Backtested
Our models are continuously validated against real forward returns. Every prediction is tracked and measured.
Spearman IC
Rank correlation between predictions and actual returns
Hit Rate
Percentage of correct directional predictions
Long-Short Spread
Return difference between top and bottom quintiles
Information Ratio
Risk-adjusted excess returns vs benchmark
Walk-Forward Validation
Models are trained on rolling 3-year windows and tested on out-of-sample 6-month periods. This prevents overfitting and ensures predictions generalize to new market conditions.
AI Stock Picking FAQ
How does AI pick stocks?
AI stock pickers use machine learning algorithms to analyze vast amounts of data - financial statements, price patterns, market sentiment, and more. The AI identifies patterns that predict future performance and ranks stocks accordingly. ACIS uses LightGBM gradient boosting with 51 features per stock.
Is AI stock picking better than human stock picking?
AI has several advantages: it processes more data faster, makes emotion-free decisions, and can identify subtle patterns humans miss. However, AI works best when combined with solid investment fundamentals. ACIS uses ML to enhance proven strategies like value and momentum investing.
What data does ACIS use to pick stocks?
ACIS analyzes 51 features per stock including: P/E ratio, P/B ratio, ROE, debt ratios, revenue growth, earnings momentum, price momentum, volatility, sector trends, and market cap. Models are trained on 10+ years of historical data.
How accurate is AI stock picking?
No AI can predict markets perfectly. ACIS models target a hit rate above 52% (better than random) with positive Spearman IC correlation between predictions and returns. Our models are validated daily against actual 20-day forward returns.
How often does the AI update stock picks?
ACIS scores all 3,000+ stocks daily and updates portfolio recommendations. Changes are surgical - typically 1-3 position changes per strategy per day rather than wholesale portfolio rebuilds. This minimizes turnover and tax impact.
See AI Stock Picks in Action
Start your 100% Free and get access to ML-powered stock recommendations.