Golden Cross Uptrend Tracking Strategy

Pine ScriptTrend following Breakout Momentum SMA

Author: ChaoZhang
Complexity: Intermediate · 111 lines
Parameters: 8
Backtest bar: 30m · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

This strategy is designed based on the golden cross principle of moving averages. Specifically, it uses two simple moving averages of different periods, namely the 50-period line and the 200-period line. When the 50-period line breaks through the 200-period line from below, a buy signal is generated. When the 50-period line breaks through the 200-period line from above, a sell signal is generated.

Strategy Logic

The strategy is written in Pine Script language, with main logic as follows:

Calculate two SMAs: 50-period SMA and 200-period SMA
Determine golden cross: when 50-period SMA crosses above 200-period SMA, go long
Determine death cross: when 50-period SMA crosses below 200-period SMA, close position

The importance of using SMA indicator here is that it can effectively filter out market noise and capture long-term trends. When faster SMA line crosses above slower SMA line, it indicates the short-term uptrend momentum defeats the long-term downtrend, generating a buy signal.

Advantages

The strategy has the following advantages:

Simple and easy-to-understand principle, easy to implement.
Reasonable PARAMETERS settings, customizable two SMA periods, adaptable to different markets.
Written in stable Pine language version, runs efficiently.
Rich visual settings, easy to use.

Risks and Solutions

The strategy also has some risks:

False breakout may occur, generating wrong signals. Can adjust two SMA parameters to reduce false breakout probability.
Cannot respond to short-term market, only suitable for long-term investors. Can appropriately shorten fast SMA period.
Drawdown may be large. Can set stop loss, or properly adjust position management.

Optimization Directions

The strategy can be further optimized in following aspects:

Add other indicators for filtering, combining multiple buy/sell conditions to reduce false signals.
Add stop loss mechanism. Mandatory stop loss when price breaks certain level.
Optimize position management. Such as pyramiding along the trend, trailing stop loss etc. To control drawdown and pursue higher return.
Parameter optimization. Evaluate the impact of different parameters on return/risk ratio.

Conclusion

In general, this is a typical trend tracking strategy. It utilizes the advantage of SMA to simply and efficiently capture long-term trends. Can customize based on one's style and tuning space. Also need to notice existing deficiencies for further optimization and improvement.

Parameters

Name	Default	What it controls
v_input_1	50	Fast SMA Period
v_input_2	200	Slow SMA Period
v_input_3	2019	Backtest Start Year
v_input_4	true	Backtest Start Month
v_input_5	true	Backtest Start Day
v_input_6	2099	Backtest Stop Year
v_input_7	12	Backtest Stop Month
v_input_8	31	Backtest Stop Day

Source Pine Script

/*backtest
start: 2023-12-26 00:00:00
end: 2024-01-02 00:00:00
period: 30m
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// @version=4
//
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// www.tradingview.com/u/TradeFab/
// www.tradefab.com
// ___  __        __   __  __       __
//  |  |__)  /\  |  \ |__ |__  /\  |__)
//  |  |  \ /~~\ |__/ |__ |   /~~\ |__)
//
// DISCLAIMER: Futures, stocks and options trading involves substantial risk of loss 
// and is not suitable for every investor. You are responsible for all the risks and 
// financial resources you use and for the chosen trading system.
// Past performance is not indicative for future results. In making an investment decision,
// traders must rely on their own examination of the entity making the trading decisions!
//
// TradeFab's Golden Cross Strategy.
// The strategy goes long when the faster SMA 50 (the simple moving average of the last 50 bars) crosses
// above the SMA 200. Orders are closed when the SMA 50 crosses below SMA 200. The strategy does not short.
//
VERSION = "1.2"
// 1.2 FB 2020-02-09 converted to Pine version 4
// 1.1 FB 2017-01-15 added short trading
// 1.0 FB 2017-01-13 basic version using SMAs
//
strategy(
   title        = "TFs Golden Cross " + VERSION, 
   shorttitle   = "TFs Golden Cross " + VERSION, 
   overlay      = true
   )


///////////////////////////////////////////////////////////
// === INPUTS ===
///////////////////////////////////////////////////////////
inFastSmaPeriod     = input(title="Fast SMA Period", type=input.integer, defval=50, minval=1)
inSlowSmaPeriod     = input(title="Slow SMA Period", type=input.integer, defval=200, minval=1)

// backtest period
testStartYear       = input(title="Backtest Start Year",    type=input.integer, defval=2019, minval=2000)
testStartMonth      = input(title="Backtest Start Month",   type=input.integer, defval=1, minval=1, maxval=12)
testStartDay        = input(title="Backtest Start Day",     type=input.integer, defval=1, minval=1, maxval=31)
testStopYear        = input(title="Backtest Stop Year",     type=input.integer, defval=2099, minval=2000)
testStopMonth       = input(title="Backtest Stop Month",    type=input.integer, defval=12, minval=1, maxval=12)
testStopDay         = input(title="Backtest Stop Day",      type=input.integer, defval=31, minval=1, maxval=31)


///////////////////////////////////////////////////////////
// === LOGIC ===
///////////////////////////////////////////////////////////
smaFast = sma(close, inFastSmaPeriod)
smaSlow = sma(close, inSlowSmaPeriod)

bullishCross = crossover (smaFast, smaSlow)
bearishCross = crossunder(smaFast, smaSlow)

// detect valid backtest period
isTestPeriod() => true


///////////////////////////////////////////////////////////
// === POSITION EXECUTION ===
///////////////////////////////////////////////////////////
strategy.entry("long",  strategy.long,  when=bullishCross)
strategy.entry("short", strategy.short, when=bearishCross)


///////////////////////////////////////////////////////////
// === PLOTTING ===
///////////////////////////////////////////////////////////
// background color
nopColor = color.new(color.gray, 50)
bgcolor(not isTestPeriod() ? nopColor : na)

bartrendcolor = 
   close > smaFast and 
   close > smaSlow and 
   change(smaSlow) > 0 
       ? color.green 
       : close < smaFast and 
         close < smaSlow and 
         change(smaSlow) < 0 
             ? color.red 
             : color.blue
barcolor(bartrendcolor)
plot(smaFast, color=change(smaFast) > 0 ? color.green : color.red, linewidth=2)
plot(smaSlow, color=change(smaSlow) > 0 ? color.green : color.red, linewidth=2)

// label
posColor = color.new(color.green, 75)
negColor = color.new(color.red, 75)
dftColor = color.new(color.blue, 75)
posProfit= (strategy.position_size != 0) ? (close * 100 / strategy.position_avg_price - 100) : 0.0
posDir   = (strategy.position_size  > 0) ? "long" : strategy.position_size < 0 ? "short" : "flat"
posCol   = (posProfit > 0) ? posColor : (posProfit < 0) ? negColor : dftColor

var label lb = na
label.delete(lb)
lb := label.new(bar_index, max(high, highest(5)[1]),
   color=posCol,
   text="Pos: "+ posDir +
      "\nPnL: "+tostring(posProfit, "#.##")+"%" +
      "\nClose: "+tostring(close, "#.##"))

Published by ChaoZhang on the FMZ strategy square · last modified 2024-01-03. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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