Pattern Recognition & Risk Engines
Last updated
Last updated
In DeFi, identifying profitable patterns and avoiding risk-laden positions can mean the difference between significant gains and devastating losses. AGENFI integrates advanced Pattern Recognition and Risk Analysis Engines to help users capitalize on high-potential opportunities while steering clear of threats โ all in real time.
Powered by machine learning, this engine scans and detects historical and real-time trading patterns across multiple tokens and chains.
Key Capabilities:
๐ Chart Pattern Identification: Flags formations like cup-and-handle, double bottom, bull flags, etc.
๐ง Behavioral Pattern Detection: Learns from how traders behave in similar conditions (e.g., post-hype crashes, whale pump cycles)
๐ Multi-Timeframe Analysis: Recognizes short- and long-term opportunities across 5M, 1H, 6H, and 1D intervals
๐ Signal Correlation: Links pattern detections with social sentiment or whale activity to strengthen confidence
Example: A bull flag + whale inflow + rising sentiment triggers a โBUY - High Confidenceโ signal for a token.
While patterns identify opportunity, AGENFI's Risk Engine ensures users can manage exposure and make informed decisions.
Key Capabilities:
โ ๏ธ Volatility Scanning: Flags tokens with extreme short-term price swings
๐งฎ Liquidity Risk: Detects tokens with insufficient exit potential or rapid slippage threats
๐ Downside Probability Forecasting: AI estimates potential drawdown % based on past volatility
๐จ Portfolio-Level Risk Alerts: Triggers when portfolio balance or token weightings exceed safe thresholds
Example: A token rises 22% in 1 hour but triggers a red alert due to ultra-low liquidity and negative sentiment shift.