Documentation

ALEEP Signals

Machine learning trading signals using pattern recognition algorithms

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Overview

ALEEP Signals are machine learning-generated trading signals using advanced K-Nearest Neighbors (KNN) pattern recognition algorithms. The ML model identifies historical price patterns similar to the current market condition and generates directional signals based on what historically happened next in similar situations.

Signal Types

SignalMeaning
Start LongNew buy signal generated — model detects a bullish pattern match
End LongExit signal — model suggests closing an existing long position
No SignalModel does not detect a clear pattern; no action suggested

Data Columns

ColumnDescription
SymbolStock ticker (clickable for chart)
SignalCurrent signal type (Start Long, End Long, No Signal)
Win RateHistorical accuracy of the signal for this configuration
# TradesNumber of historical trades the win rate is based on
SupportNearest support price level
ResistanceNearest resistance price level
ConfidenceModel confidence in the current signal
Last UpdatedWhen the signal was last recalculated

Interpreting Signals

  • Win Rate above 50% with 20+ historical trades indicates a statistically meaningful signal
  • Higher confidence levels suggest stronger pattern matches
  • Support and Resistance levels provide reference points for risk management
  • Signals are regenerated as new price data becomes available

Note

ALEEP signals are based on historical pattern matching and do not guarantee future results. Past win rates reflect backtested performance, which may not accurately predict live performance. Use as one input among many.

How to Use

  • Navigate to ALEEP Signals from the sidebar
  • Filter by signal type (Start Long, End Long) to focus on actionable signals
  • Prioritize signals with win rates above 50% and at least 20 historical trades
  • Check the support and resistance levels for context on the trade range
  • Cross-reference with composite ranking and TA signals for multi-source confirmation

Combining with Other Tools

  • Use AI Charts to overlay ALEEP signals directly on the candlestick chart for visual confirmation
  • Cross-reference ALEEP signals with Technical Ranking scores for multi-factor confluence
  • Check Market Regimes before acting — momentum-based ML signals perform best in trending regimes
  • Use ALEEP Config (Enterprise) to tune the model parameters and improve signal quality for specific symbols
  • Validate ML signals against Composite Ranking scores for multi-factor confirmation

This platform provides data and analysis tools for educational and informational purposes only. Nothing on this platform constitutes financial advice, investment recommendations, or solicitation to buy or sell any securities. Always conduct your own research and consult with a qualified financial advisor before making investment decisions.