Harness Meta equity intelligence to automate sophisticated stock strategies across multiple brokers with advanced analytics and real-time market insights.
410k+
traders using intelligent systems
2.1M+
equity strategies executed
15+
Stock Brokers Connected
Meta equity intelligence transforms how traders approach stock markets by combining automated execution with sophisticated analytics across Alpaca, Trading212, and WeBull. The system processes market data, earnings reports, and technical indicators to identify optimal entry and exit points. Your strategies adapt to changing market conditions while maintaining strict risk parameters.
The platform analyzes fundamental metrics, technical patterns, and market sentiment to surface high-probability trading opportunities. Machine learning algorithms process earnings data, analyst revisions, and sector rotation patterns. Real-time screening identifies stocks meeting your specific criteria across thousands of equities.
Rules execute seamlessly across Charles Schwab, E*TRADE, and Robinhood with precise timing and allocation management. The system handles order routing, partial fills, and position sizing automatically. Portfolio rebalancing occurs based on predefined thresholds and market conditions.
Equity intelligence dashboard
Your dashboard displays sector heat maps, earnings calendars, and volatility forecasts in a unified interface. Track performance attribution across strategies while monitoring risk exposure by sector and market cap. Real-time alerts notify you of significant market events affecting your positions.
Smart automation engine
The automation engine processes multiple data streams simultaneously to execute complex multi-leg strategies while maintaining portfolio balance and risk limits across all connected brokerage accounts.
Moving Average Scalper
Executes rapid trades when price crosses above short-term moving averages with volume confirmation. Exits on momentum loss or opposite signal. Designed for liquid stocks with tight spreads.
Earnings Drift Rider
Captures post-earnings momentum by entering positions after earnings announcements based on surprise magnitude and analyst revisions. Holds for 5-15 trading days to capture drift effect.
Sector Momentum Switcher
Rotates capital between sector ETFs based on relative strength and momentum indicators. Identifies leading sectors and allocates accordingly while avoiding lagging sectors.
RSI Oversold Rebound
Buys oversold stocks when RSI drops below 30 with bullish divergence patterns. Exits when RSI exceeds 70 or after predetermined holding period. Focuses on quality names only.
Volatility Breakout
Enters positions when stocks break above Bollinger Bands with expanding volume. Uses ATR-based stops and trailing exits. Targets stocks with recent low volatility compression.
Moving Average Scalper
Executes rapid trades when price crosses above short-term moving averages with volume confirmation. Exits on momentum loss or opposite signal. Designed for liquid stocks with tight spreads.
Earnings Drift Rider
Captures post-earnings momentum by entering positions after earnings announcements based on surprise magnitude and analyst revisions. Holds for 5-15 trading days to capture drift effect.
Sector Momentum Switcher
Rotates capital between sector ETFs based on relative strength and momentum indicators. Identifies leading sectors and allocates accordingly while avoiding lagging sectors.
RSI Oversold Rebound
Buys oversold stocks when RSI drops below 30 with bullish divergence patterns. Exits when RSI exceeds 70 or after predetermined holding period. Focuses on quality names only.
Volatility Breakout
Enters positions when stocks break above Bollinger Bands with expanding volume. Uses ATR-based stops and trailing exits. Targets stocks with recent low volatility compression.
Dividend ETF Seasonality
Captures dividend capture opportunities in high-yield ETFs around ex-dividend dates. Manages timing to optimize yield while minimizing price risk through strategic entry and exit points.
Support and Resistance Bounce
Identifies key support and resistance levels using volume profile and price action. Enters near support with tight stops and exits at resistance. Focuses on established trading ranges.
High Beta Risk-On Basket
Allocates to high-beta stocks during risk-on market environments identified through VIX levels and sector rotation patterns. Reduces exposure during risk-off periods automatically.
Pairs Trading Cointegration
Identifies statistically cointegrated stock pairs and trades mean reversion opportunities. Long underperformer, short outperformer when spread widens beyond statistical thresholds.
Market Structure Break Analysis
Detects structural breaks in market trends using multi-timeframe analysis. Enters on confirmed breaks with momentum and exits on structure failure or target achievement.
The system continuously monitors news feeds, analyst upgrades, and insider trading activity to adjust strategy parameters dynamically. Economic indicators and Federal Reserve communications trigger automatic portfolio adjustments. Sentiment analysis from social media and financial news influences position sizing and timing decisions.
Multi-layered risk controls incorporate volatility forecasting, correlation analysis, and drawdown protection mechanisms. The system automatically reduces position sizes during high-volatility periods and increases diversification when correlations spike. Stop-losses adjust based on market regime and individual stock characteristics.
Advanced optimization algorithms balance risk and return across your entire portfolio using modern portfolio theory principles. The system considers transaction costs, tax implications, and liquidity constraints when rebalancing. Sector and style exposures remain within predetermined ranges through continuous monitoring.
Comprehensive backtesting engine validates strategies across multiple market cycles and economic environments. Walk-forward analysis ensures strategies remain robust over time while Monte Carlo simulations test performance under various scenarios. Historical performance attribution identifies which factors drive returns.
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Marcus K.
Elena R.
Viktor S.
Sofia M.
Chen W.
Priya N.
The screening engine processes thousands of stocks daily using fundamental metrics, technical patterns, and quantitative factors. Custom screens identify stocks meeting specific criteria while excluding those with red flags. Sector and industry analysis reveals rotation opportunities and relative strength patterns.
Strategies operate across multiple timeframes simultaneously to capture both short-term momentum and long-term trends. Daily signals trigger position entries while weekly analysis confirms overall direction. Monthly rebalancing ensures portfolio alignment with changing market conditions.
Detailed attribution analysis breaks down returns by strategy, sector, and time period to identify performance drivers. Risk-adjusted metrics including Sharpe ratio, maximum drawdown, and volatility provide comprehensive performance evaluation. Benchmark comparisons show alpha generation across different market environments.
Built-in compliance monitoring ensures adherence to position limits and regulatory requirements. Automated reporting generates necessary documentation for tax purposes and regulatory filings. Audit trails maintain complete records of all trading decisions and executions.
Machine learning algorithms continuously improve strategy performance by learning from market patterns and trading outcomes. The system adapts to changing market regimes while maintaining core strategy principles. Regular model updates incorporate new data and market developments.
Enterprise-level infrastructure ensures reliable execution and data integrity across all connected brokers. Redundant systems and failover mechanisms maintain continuous operation during market hours. Real-time monitoring alerts administrators to any system issues requiring attention.
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