MBL Logic Lab - QAD v3.0
Stop using lagging retail indicators (RSI/MACD). I am selling a lightweight, institutional-grade Python algorithm that calculates live rolling Z-Scores (Standard Deviations) to detect hidden institutional buying/selling pressure (Sigma events) before they hit the mainstream charts.
Core Features:
• Uses statistical variance to find 2.5+ Sigma anomalies.
• High-frequency polling via local terminal.
• No third-party API keys required (100% anonymous & local).
• Audio triggers for immediate breakout execution.
Code Language: Python 3 (Source code provided, fully open and customizable).
Price: 25 USD (BTC only)
Instant Automated Delivery:
https://satoshidisk.com/pay/CQf6AW
