An institutional indicator, for retail traders
Golden Slope will allow you to follow the smart money in ways that you didn't know it was possible.
Golden Slope In Action
An Unparalleled Trading Edge
Golden Slope uses a multi-layer machine learning formula to confirm each signal 3 times in order to produce the most accurate signals, giving you the information used by institutional investors to make trading decisions.
The Elements That Make The Greatness
Sell Signal
Buy Signal
Buy Block Support Line
Sell Block Support Line
Positive Momentum Wave Strength
Negative Momentum Wave Strength
The buy and sell signals are confirmed 3 times using a mix of our proprietary multi-layer machine-learning algorithm called Long Returning Range to ensure maximum accuracy.
Positive and Negative momentum waves take in overall volume, momentum, trade balance, and a complicated RSI-based model to show you where the trend goes and when it reaches the top or bottom.
The buy and sell blocks show where important smart money positions are located and create a support and resistance line that is highly accurate.
LRR Formula Lookback Period
Risk Multiplier Settings
Add Another Confirmation Layer to Signals
Detect trend fatigue better
Periods to Identify Institutional Volume Blocks
LRR Period
The period to look back for the Long Returning Range formula. Lower numbers provide more signals but less accurate, and higher numbers provide fewer signals but more accurate.
LRR Multiplier
Long Returning Range multiplier is the inaccuracy risk tolerance rate. The lower number provides fewer signals, and higher number provides more signals.
Confirm LRR
This option allows you to confirm LRR signals with a simple KNN machine learning formula used in the trend wave for more accuracy.
Periods to Identify Blocks
Periods to compare in order to find institutional order blocks. The higher the number, fewer order blocks you'll see. Adjust per your use case and asset. Higher value recommended for volatile assets.
Exponential Trend Waves
Make the trend waves exponential, allowing you to to detect the trend fatigue and find peaks and troughs a lot more accurately.