Golden Launch Pad

🔰 Golden Launch Pad
This indicator identifies high-probability bullish setups by analyzing the relationship between multiple moving averages (MAs). A “Golden Launch Pad” is formed when the following five conditions are met simultaneously:

📌 Launch Pad Criteria (all must be true):
MAs Are Tightly Grouped
The selected MAs must be close together, measured using the Z-score spread — the difference between the highest and lowest Z-scores of the MAs.

Z-scores are calculated relative to the average and standard deviation of price over a user-defined window.

This normalizes MA distance based on volatility, making the signal adaptive across different assets.

MAs Are Bullishly Stacked
The MAs must be in strict ascending order: MA1 > MA2 > MA3 > ... > MA(n).
This ensures the short-term trend leads the longer-term trend — a classic sign of bullish structure.

All MAs Have Positive Slope
Each MA must be rising, based on a lookback period that is a percentage of its length (e.g. 30% of the MA’s bars).
This confirms momentum and avoids signals during sideways or weakening trends.

Price Is Above the Fastest MA
The current close must be higher than the first (fastest) moving average.
This adds a momentum filter and reduces false positives.

Price Is Near the MA Cluster
The current price must be close to the average of all selected MAs.
Proximity is measured in standard deviations (e.g. within 1.0), ensuring the price hasn't already made a large move away from the setup zone.

⚙️ Customization Options:
Use 2 to 6 MAs for the stack

Choose from SMA, EMA, WMA, VWMA for each MA

Adjustable Z-score window and spread threshold

Dynamic slope lookback based on MA length

Volatility-adjusted price proximity filter

🧠 Use Case:
This indicator helps traders visually and systematically detect strong continuation setups — often appearing before breakouts or sustained uptrends. It works well on intraday, swing, and positional timeframes across all asset classes.

For best results, combine with volume, breakout structure, or multi-timeframe confirmation.