1-2-3 BANG!
CURRENT PRICE $39…. Future Worth $99
After 15 years of expertise within the markets and three years of programming, Winner indicator is prepared. I want to share with you!
Introduction
Introduction
The 123 Sample Scanner indicator with a particular enhanced algorithm is a really repetitive widespread sample finder with a excessive success fee. Curiously, this Winner indicator signifies that the pattern has modified its path or the tip of a pattern retracement and even the 1 2 3 Sample seems on the vary market.
The 1,2,3 Sample Scanner finds instantly with alarm and notification and in addition has cease loss, take earnings and entry level with candlestick checking for simple buying and selling.
Major Options
- Use particular enhanced algorithm
- Detect the very best and most profitable sample with very repetitive in pattern, swing and breakout.
- Simple-to-use and user-friendly indicator
- NO repaint
- Scan all charts button
- Choose and deselect time frames button for scan (M5,M15,M30,H1,H4,D1,W1,MN)
- It shows and pushes notification stop-loss, entry-point and take-profit ranges
- Candlestick examine for the very best entry level
- Technique to decide on when showing sample : breakout(after breakout the purpose 2) or sample(in level 3)
- Sending the alert and push notification
- Alert allow/disable base in your setting time
- Regulate the sample setting
[spoiler title=”Read More…”]
Learn how to Take a look at:
You possibly can obtain the demo model right here for testing. It’s free and usable on the USDJPY.
Learn how to Take a look at:
You possibly can obtain the demo model right here for testing. It’s free and usable on the USDJPY.
Enter Parameters
=========Scanner============
- Scan all charts – Enabled
- Scan the variety of candles – Quantity of historical past bars to judge
- Rescan Timer – Rescan all charts and all time frames after passing time
- Technique – select when showing a sample : breakout(after breakout in level 2) or sample(in level 3)
=======Sample Characteristic============
- Pattern_Feature(Interval, Deviation, Backstep) – Algorithm Parameters for sample recognition
- Error_Rate – Most allowable error relative to sample share
- Wing size – Minimal distance between two legs in a sample
=======Show/fashion Choices============
- Display_Options – Show or don’t show TP