Golden Cross Strategy

The golden cross strategy generates long signals when the fast EMA crosses above the slow SMA and exits longs when the fast EMA crosses below the slow SMA. It aims to capture long-term trend reversals using the…

Author

ChaoZhang

Complexity

Starter · 53 lines

Parameters

Backtest bar

2m · intraday

Tested on

BTC/USDT · futures

Strategy Overview

Strategy Logic

Calculate the 50-period fast EMA as the representative of short-term trend.
Calculate the 200-period slow SMA as the representative of long-term trend.
When the fast EMA crosses above the slow SMA, it signals the start of an upward long-term trend, go long.
When the fast EMA crosses below the slow SMA, it signals the start of a downward long-term trend, close long positions.

Crossovers represent changes in market supply/demand dynamics and psychology, serving as signals for long-term trend shifts. The periods of the fast and slow lines can be adjusted based on different assets and timeframes.

Advantages of the Strategy

Uses dual moving averages to identify major trend reversal points
Golden crosses form clear long and exit signals
Flexible parameter adjustment, adaptable to various markets
Simple backtesting and live tuning
Combinable with other factors

Risk Warnings

Potential lagging of moving averages
Prevent false breakout occurrences
Hard to determine precise entry and exit timing
Internal swings may cause losses in trends

Conclusion

The golden cross strategy judges long-term trend shifts by comparing fast and slow moving average golden crosses, forming a widely used long-term strategy concept. Parameters can be adjusted and combined with other factors to improve strategy performance for different markets.

Name	Default	What it controls
v_input_1	50	Fast EMA Buy
v_input_2	200	Slow SMA Buy

Name

Default

What it controls

v_input_1

Fast EMA Buy

v_input_2

200

Slow SMA Buy

/*backtest start: 2023-09-07 00:00:00 end: 2023-09-14 00:00:00 period: 2m basePeriod: 1m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=3 strategy("GoldenCross Strategy by Clefsphere",overlay=true, initial_capital=10000,default_qty_type=strategy.percent_of_equity,default_qty_value=100) // testStartYear = input(2013, "Start Year") // testStartMonth = input(3, "Start Month") // testStartDay = input(1, "Start Day") // testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay,0,0) // testStopYear = input(2018, "Stop Year") // testStopMonth = input(8, "Stop Month") // testStopDay = input(5, "Stop Day") // testPeriodStop = timestamp(testStopYear,testStopMonth,testStopDay,0,0) // testPeriodBackground = input(title="Background", type=bool, defval=true) // testPeriodBackgroundColor = testPeriodBackground and (time >= testPeriodStart) and (time <= testPeriodStop) ? #00FF00 : na sma1Period = input(50, "Fast EMA Buy") sma2Period = input(200, "Slow SMA Buy") // testPeriod() => // time >= testPeriodStart and time <= testPeriodStop ? true : false sma1val=sma(close,sma1Period) sma2val=sma(close,sma2Period) plot(sma1val,color=blue,linewidth=1) plot(sma2val,color=orange,linewidth=1) long=crossover(sma1val,sma2val) short=crossunder(sma1val,sma2val) // if testPeriod() if long strategy.entry("buy",strategy.long) if short strategy.close("buy") plot(low,color= sma1val > sma2val ? green: red,style=columns,transp=90,linewidth=1)

Golden Cross Strategy

Strategy Overview

Strategy Logic

Advantages of the Strategy

Risk Warnings

Conclusion

Parameters

Source Pine Script

Build this with AgenKit

Understand it first

Related specs