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Highlow

Octopus Nest Strategy 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 --- Credits to: @loxx @Bjorgum @Greeny
Pine Script™ strategy
by simwai
14
Strategy Gaussian Anomaly DerivativeConcept behind this Strategy : Considering a normal "buy/sell" situation, an asset would be bought in average at the median price following a Gaussian like concept. A higher or lower average trend would significate that the current perceived value is respectively higher or lower than the current median price, which mean that the buyers are evaluating the price underpriced or overpriced. This behaviour would be even more relevent depending on its derivative evolution. Therefore, this Strategy setup is based on this Gaussian like concept anomaly of average close positionning compare to high-low average derivative, such as the derivative of the following ploted basic signal : 1-(high+low)/(2*close). This Strategy can actually be used like a trend change and continuation strength indicator aswell. In the Setup Signal part : You can define the filtering of the basis signal "1-(high+low)/(2*close)" on EMA or SMA as you wish. You can define the corresponding period and the threathold as a mutiply of the average 1/3 of all time value of the basis signal. You can define the SMA filtering period of the Derivative signal and the corresponding threathold on the same mutiply of the average 1/3 of all time value of the derivative. In the Setup Strategy part : You can set up your strategy assesment based on Long and/or Short. You can also define the considered period. The most successful tuned strategies I did were based on the derivative indicator with periods on the basis signal and the derivative under 30, can be 1 to 3 of te derivative and 7 to 21 for the basis signal. The threathold depends on the asset volatility aswell, 1 is usually the most efficient but 0 to 10 can be relevent depending on the situation I met. You can find an example of tuning for this strategy based on Kering's case hereafter. I hoping that you will enjoy using this Strategy, don't hesitate to comment, to question, to correct or complete it ! I would be very curious about similar famous approaches that would have already been made. Thank to you !
Pine Script™ strategy
by Koamind
5
Combo Backtest 123 Reversal & High and Low Levels This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy This script shows a high and low period value. Width - width of lines SelectPeriod - Day or Week or Month and etc. LookBack - Shift levels 0 - current period, 1 - previous and etc. WARNING: - For purpose educate only - This script to change bars colors.
Pine Script™ strategy
by HPotter
2
Combo Backtest 123 Reversal & High Low Bands This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy As the name suggests, High low bands are two bands surrounding the underlying’s price. These bands are generated from the triangular moving averages calculated from the underlying’s price. The triangular moving average is, in turn, shifted up and down by a fixed percentage. The bands, thus formed, are termed as High low bands. The main theme and concept of High low bands is based upon the triangular moving average. WARNING: - For purpose educate only - This script to change bars colors.
Pine Script™ strategy
by HPotter