Cloud Nebula Dual Moving Average Breakthrough Strategy

The Cloud Nebula Dual Moving Average Breakthrough Strategy is a strategy that utilizes fast moving averages and slow moving averages to form dual clouds for breakthrough trading. The strategy has the characteristics…

Pine ScriptBreakout Mean reversion Trend following EMA

Author: ChaoZhang
Complexity: Starter · 60 lines
Parameters: 2
Backtest bar: 1m · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview**

Strategy Principle

The strategy calculates the 60-period high-low price EMA as the fast cloud and the 240-period high-low price EMA as the slow cloud. When the fast cloud is completely below the slow cloud, go long; when the fast cloud is completely above the slow cloud, go short. The specific entry rules are that there are opportunities to enter when the price breaks through the upper or lower edges of the slow cloud. The stop loss is set at the highest and lowest prices within 5 days, and the take profit is set when the price breaks through the upper or lower edges of the fast cloud.

The strategy has both the characteristics of trend tracking and reversal trading. When the market is oscillating, the fold-over of the fast and slow clouds is an opportunity to make a reversal; when the fast and slow clouds are parallel, follow the trend to trade the trend.

Advantage Analysis

The dual cloud structure can effectively judge market trends, using the up and down crossovers between dual clouds to make reversal trades, greatly improving win rate.
The separation of the fast and slow clouds in the dual cloud structure is a signal of market change, which provides us with potential opportunities.
By using crossovers between clouds and price breakouts against clouds, the strategy has both trend following and reversal trading characteristics, balancing frequency of operation and win rate.
Using cloud edges as stop loss and take profit points can effectively control risks.

Risk Analysis

During violent price fluctuations, frequent crossovers may occur between fast and slow clouds, leading to multiple losing positions.
This strategy is more suitable for oscillating market environments. In trending markets, there are often many parallel situations between fast and slow clouds, which can easily lead to being trapped.
Within consolidation periods, there is a lack of effective methods to follow trends, unable to capture potential major rallies or declines after consolidations.

Optimization Directions

Price channels and trading volumes can be added before cloud crossovers occur to avoid false signals caused by violent price fluctuations.
Trend judgment indicators can be added. When separations between fast and slow clouds occur, judge the major trend direction and selectively participate in reversal trading.
Adaptive algorithms for the width of the fast cloud can be set to find the optimal parameter combination in oscillating and trending market environments.

Conclusion

The Cloud Nebula Dual Moving Average Breakthrough Strategy comprehensively utilizes the advantages of fast moving averages and slow moving averages to construct a dual cloud system for reversal and trend trading. It balances frequency of operation and win rate, and can effectively grasp the rhythm of market changes. By adding auxiliary judgment indicators and parameter optimization, the advantages of the strategy can be further expanded to better adapt to complex and ever-changing market environments.

Parameters

Name	Default	What it controls
v_input_1	60	Fast Cloud Length
v_input_2	240	Slow Cloud Length

Source Pine Script

/*backtest
start: 2023-12-14 00:00:00
end: 2023-12-19 00:00:00
period: 1m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// High Low Cloud Strategy Backtesting
// © inno14

//@version=4
strategy(title="High Low Cloud Strategy Backtesting", overlay=true, pyramiding=0)
c1=input(60, title="Fast Cloud Length")
c2=input(240, title="Slow Cloud Length")
c1_high=ema(high,c1)
c1_low=ema(low,c1)
highc1=plot(c1_high, title="Fast Cloud - High", color=color.blue, offset=0, transp=50, linewidth=1)
lowc1=plot(c1_low, title="Fast Cloud - Low", color=color.blue, offset=0, transp=50, linewidth=1)
fill(highc1, lowc1, transp=60, color=color.blue, title="Fast Cloud")
c2_high=ema(high,c2)
c2_low=ema(low,c2)
highc2=plot(c2_high, title="Slow Cloud - High", color=color.green, offset=0, transp=50, linewidth=1)
lowc2=plot(c2_low, title="Slow Cloud - Low", color=color.green, offset=0, transp=50, linewidth=1)
fill(highc2, lowc2, transp=40, color=color.green, title="Slow Cloud")
//Backtesting
//Long condition
ycloud_entry=
       c1_high<c2_low
       and crossover(close,c2_high)
       

ycloud_stoploss=
       crossunder(close,valuewhen(ycloud_entry,lowest(close[1],c2),0))

ycloud_takeprofit=
      c1_low>c2_high
      and crossunder(close,c1_low)


strategy.entry("Long", strategy.long, when=ycloud_entry)
strategy.close("Long", when=ycloud_takeprofit or ycloud_stoploss)

//Short condition
xcloud_entry=
       c1_low>c2_high
       and crossunder(close,c2_low)
       
xcloud_stoploss=
       crossover(close,valuewhen(xcloud_entry,highest(close[1],c2),0))

xcloud_takeprofit=
       c1_high<c2_low
       and crossover(close,c1_high)

strategy.entry("Short", strategy.short, when=xcloud_entry)
strategy.close("Short", when=xcloud_takeprofit or xcloud_stoploss)


//EOF

Published by ChaoZhang on the FMZ strategy square · last modified 2023-12-22. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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