Helping Swing Traders Find the Needle in the Haystack
Daily Stock Filtering
Every morning, the system scans thousands of stocks and delivers 10-20 opportunities where technical conditions show notable alignment. The filtering process concentrates your research time on a manageable subset of stocks exhibiting specific technical characteristics rather than requiring analysis across entire market indices.
Confidence-Rated Signals
Each trading opportunity receives a weighted confidence score based on the degree of alignment across multiple technical factors. The scoring system quantifies signal strength on a continuum, distinguishing between marginal technical setups and those where multiple indicators converge at similar price levels.
Risk Assessment
The system calculates position sizes, stop-loss levels, and profit targets based on current volatility measurements. These metrics provide quantified risk-reward ratios and volatility-adjusted position parameters for each identified opportunity.
Noise Filtration
Multi-phase analysis progressively filters opportunities through successive analytical stages, with each phase identifying and flagging trades where technical indicators show conflicting signals. The system displays only those opportunities that demonstrate technical alignment across multiple evaluation criteria.
Multi-Timeframe Confirmation
The analysis validates each opportunity across different time horizons, identifying alignment or divergence between short-term patterns and intermediate to longer-term trend structures. The system quantifies trend agreement across timeframes and highlights potential conflicts between different temporal perspectives.
Institutional Activity Detection
Advanced volume analysis identifies patterns consistent with institutional participation, including volume quality metrics and accumulation/distribution characteristics. The system flags unusual volume activity and displays metrics that reveal smart money positioning relative to historical baselines.
Backtesting Integration
Each signal incorporates pattern maturity metrics and historical scenario analysis, displaying how similar technical configurations have performed across different market conditions. The system provides statistical context including success rates, average moves, and timeframe distributions for comparable historical setups.