CRR Darvas Nemesis SCALP 1m–5m v1.5

CRR Darvas Nemesis Scalp 1m–5m – What it is and how it works

The CRR Darvas Nemesis Scalp is an indicator designed to help you detect strong and reliable breakouts in scalping, using a smart Darvas box with professional confirmations.

What does it do?

It automatically draws a "Darvas Box" on a higher timeframe (usually 5 minutes).
This box represents an area where the price has been accumulating or consolidating.

It detects the actual breakout of that box only when:

There is strong volume (higher than average).

The trend is favorable (measured with the EMA of the higher timeframe).

It provides A+ entry and exit signals for scalping trades:

✔️ LONG A+ when it breaks the top of the box with volume + trend.

❌ EXIT when it breaks below the bottom of the box.

Includes a professional HUD with:

Current status (In box, Breakout A+, Exit, etc.)

Box High / Box Low

Suggested Stop (bottom of the box)

Volume strength

📌 How to get the most out of it? (SUMMARY)
1. Wait for the Darvas Box to form

The box marks the accumulation zone.
While the price is inside: DO NOT trade yet.

2. Only look for movement when the box is broken

The upward breakout is only valid if:

There is high volume

The trend is aligned

The indicator already filters this for you → it shows you LONG A+.

3. Enter only on A+ signals (the strongest ones)

The green triangle indicates:

Legitimate breakout

High volume

Favorable trend

This is the highest probability entry.

4. Use the bottom of the box as a stop

Each LONG signal automatically comes with a suggested stop:
Stop = bottom of the Darvas Box

Simple, clear, and professional.

5. Exit the trade when the system indicates EXIT

If a red triangle or "Long Exit" text appears, it means:

The breakout failed or ran out of momentum

It's time to close the trade

📌 In short

This indicator allows you to identify real breakouts and avoid traps.
It filters trend, volume, and structure to give you only A+ signals. Ideal for fast and precise scalping on 1m–5m timeframes.