simwai

Octopus Nest Strategy

simwai Aktualisiert   
Hello Fellas,

Hereby, I come up with a popular strategy from YouTube called Octopus Nest Strategy. It is a no repaint, lower timeframe scalping strategy utilizing PSAR, EMA and TTM Squeeze.

The strategy considers these market factors:
PSAR -> Trend
EMA -> Trend
TTM Squeeze -> Momentum and Volatility by incorporating Bollinger Bands and Keltner Channels

Note: As you can see there is a potential improvement by incorporating volume.

What's Different Compared To The Original Strategy?
I added an option which allows users to use the Adaptive PSAR of @loxx, which will hopefully improve results sometimes.

Signals
Enter Long -> source above EMA 100, source crosses above PSAR and TTM Squeeze crosses above 0
Enter Short -> source below EMA 100, source crosses below PSAR and TTM Squeeze crosses below 0

Exit Long and Exit Short are triggered from the risk management. Thus, it will just exit on SL or TP.

Risk Management
"High Low Stop Loss" and "Automatic High Low Take Profit" are used here.

High Low Stop Loss: Utilizes the last high for short and the last low for long to calculate the stop loss level. The last high or low gets multiplied by the user-defined multiplicator and if no recent high or low was found it uses the backup multiplier.

Automatic High Low Take Profit: Utilizes the current stop loss level of "High Low Stop Loss" and gets calculated by the user-defined risk ratio.

Now, follows the bunch of knowledge for the more inexperienced readers.

PSAR: Parabolic Stop And Reverse; Developed by J. Welles Wilders and a classic trend reversal indicator.
The indicator works most effectively in trending markets where large price moves allow traders to capture significant gains. When a security’s price is range-bound, the indicator will constantly be reversing, resulting in multiple low-profit or losing trades.

TTM Squeeze: TTM Squeeze is a volatility and momentum indicator introduced by John Carter of Trade the Markets (now Simpler Trading), which capitalizes on the tendency for price to break out strongly after consolidating in a tight trading range.

The volatility component of the TTM Squeeze indicator measures price compression using Bollinger Bands and Keltner Channels. If the Bollinger Bands are completely enclosed within the Keltner Channels, that indicates a period of very low volatility. This state is known as the squeeze. When the Bollinger Bands expand and move back outside of the Keltner Channel, the squeeze is said to have “fired”: volatility increases and prices are likely to break out of that tight trading range in one direction or the other. The on/off state of the squeeze is shown with small dots on the zero line of the indicator: red dots indicate the squeeze is on, and green dots indicate the squeeze is off.

EMA: Exponential Moving Average; Like a simple moving average, but with exponential weighting of the input data.

Don't forget to check out the settings and keep it up.

Best regards,
simwai

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Credits to:
  • @loxx
  • @Bjorgum
  • @Greeny
Versionshinweise:
Removed Emoji from the title and short title
Replaced EMA by an HTF EMA (this is also different from the original behaviour and not optional, EMA from HTF is way more effective than EMA of the current timeframe.
Versionshinweise:
Fixed wrong signal processing
Versionshinweise:
Added TTM Squeeze/Squeeze Momentum histogram visualization on EMA
Updated default position size
Updated screenshot
Versionshinweise:
Updated label position
Updated screenshot
Versionshinweise:
Added the original Squeeze Momentum algorithm of LazyBear
Fixed repainting (It is chooseable now, if you want repainting or not.)
Added resolution selection
Versionshinweise:
Updated screenshot
Updated license
Versionshinweise:
Updated license
Versionshinweise:
Cleaned up the code a little bit
Versionshinweise:
Cleaned up the code a little bit

Open-source Skript

Ganz im Spirit von TradingView hat der Autor dieses Skripts es als Open-Source veröffentlicht, damit Trader es besser verstehen und überprüfen können. Herzlichen Glückwunsch an den Autor! Sie können es kostenlos verwenden, aber die Wiederverwendung dieses Codes in einer Veröffentlichung unterliegt den Hausregeln. Sie können es als Favoriten auswählen, um es in einem Chart zu verwenden.

Haftungsausschluss

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Möchten Sie dieses Skript auf einem Chart verwenden?