Oracle Pivot Engine (OPE) — @darshakssc

The Oracle Pivot Engine (OPE) is a market-structure visualization tool that derives all its levels exclusively from historical price data — specifically, the previous day’s high, low, and mid-range.

It does not provide signals, alerts, entries, exits, predictions, or trade recommendations.
Instead, it creates a non-repainting reference framework that helps users observe how the current session interacts with the prior session’s completed price structure.

All calculations are analytical, static, and based on fully closed candles.

🧠 How It Works (Core Logic Explained)
OPE computes the following values from the completed prior daily candle:

• Prior-Day High
  
• Prior-Day Low
  
• Prior-Day Midpoint
  
• Displacement Range = High − Low
  

This displacement range is used to generate symmetrical upward and downward reference zones.

These levels do not update during the session.
They refresh only once per day when a new daily candle closes.

This ensures the indicator remains fully non-repainting and stable on every intraday chart.

📐 Reference Levels Generated
Using the fixed prior-day displacement range, OPE plots:
1. BUY-Side Reference Map (Upward Bias)

• BUY Reference Entry
  
• BUY Reference Stop
  
• BUY T1
  
• BUY T2
  
• BUY T3
  
• BUY T4
  
• BUY T5
  
• BUY T6
  

These are not trade signals — they are mathematical extensions above the prior-day midpoint for structural interpretation only.

2. SELL-Side Reference Map (Downward Bias)

• SELL Reference Entry
  
• SELL Reference Stop
  
• SELL T1
  
• SELL T2
  
• SELL T3
  
• SELL T4
  
• SELL T5
  
• SELL T6
  

Again, these levels are not directives.
They are mirrored displacement extensions below the prior-day midpoint.

📊 Pivot Zone & Bands
The indicator includes optional visual layers derived from the same prior-day pivots:

• Pivot High–Low Zone Shading → shows the prior-day full range
  
• Pivot Midline → prior-day mid-price
  
• Outer Displacement Bands → extended contextual boundaries
  

These are purely visual boundaries meant to improve market context.
🧾 Dashboard / HUD Explanation

A compact on-chart HUD summarizes all values.
It displays:

Section | Information (All Historical)
Prior-Day Pivots | High, Low, Mid, Range
BUY Map | Entry, Stop, T1–T6
SELL Map | Entry, Stop, T1–T6

The HUD allows you to quickly review:

• Where the current price is relative to the previous day’s structure
• How far price is from each level
  
• Whether the session is operating inside or outside the prior-day displacement zones
  

Everything shown is static, non-repainting, and for reference only.

📊 How to Analyze It
✔ 1. Contextual Awareness
OPE helps users visually compare current intraday price to prior daily structure.

You can observe whether price is:

• Inside yesterday’s high/low zone
  
• Above the prior-day displacement
  
• Below the prior-day displacement
  

This offers a clearer understanding of daily context and volatility.

✔ 2. Structural Symmetry
The BUY-side and SELL-side maps extend from the same pivot logic.
This can help visualize:

• Expansion away from the prior-day midpoint
  
• Compression within the prior-day range
  
• Symmetrical displacement around key reference levels
  

Again — these are observational insights, not signals.

✔ 3. Range Interaction
As the session unfolds, users often study:

• How price reacts around prior-day midpoint
  
• Whether price is gravitating toward or away from the displacement levels
  
• How intraday swings behave within these historical boundaries
  

This type of analysis is contextual, not predictive.

⚠️ Important Disclosures

• This script does NOT generate trading signals.
  
• It does NOT predict future price movement.
  
• It does NOT contain advice, instructions, recommendations, or strategies.
  
• All levels are derived exclusively from historical daily candle data.
  
• This is strictly an informational visualization tool meant to support chart analysis.
  
• Past price levels do not guarantee any future price behavior.
  

🛑 Disclaimer
This indicator is provided solely for educational and informational purposes.
It should not be interpreted as financial advice or a call to action of any kind.
Users should apply independent judgment and discretion when analyzing markets.