SMA and RSI Long Only Strategy

This strategy is adapted from the articles by Enrico Malverti. It mainly uses Simple Moving Average (SMA) and Relative Strength Index (RSI) to identify long entry and exit signals. The strategy only goes long but not…

Pine ScriptTrend following RSI EMA SMA Bollinger Bands

Author: ChaoZhang
Complexity: Starter · 52 lines
Parameters: 4
Backtest bar: 1d · swing
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

Strategy Logic

The entry signal is triggered when closing price crosses over the longer period SMA line.

Exit signals include:

Close long when RSI crosses below 70 or goes above 75;
Stop loss when closing price crosses below the shorter period SMA line;
Take profit when closing price crosses below the shorter period SMA line.

The stop loss SMA line and take profit SMA line are also plotted.

Advantage Analysis

The advantages of this strategy:

Uses simple and easy-to-understand indicator combination;
Only goes long to avoid short selling risk;
Has clear entry, stop loss and take profit rules, controllable risk;
Easy to optimize by adjusting SMA periods etc.

Risk Analysis

There are some risks:

Psychological bias of losing confidence after losses;
SMA line shift may cause risks;
RSI divergence signals may be unreliable.

Solutions:

Build fixed trading mechanism following rules;
Optimize SMA periods;
Add other filters for RSI signals.

Optimization Directions

The strategy can be further optimized:

Test different parameters for SMA;
Add other indicators as filters;
Add trend identification to distinguish trend and consolidation;
Parameter adaption and optimization.

Conclusion

The overall idea is simple and clear. With basic indicators and controllability, it suits medium-long term trading. But parameter tuning and indicator filtering require lots of tests and optimization to make the strategy more solid and reliable. Simple ideas need huge efforts on optimization and combination to form real usable trading systems.

Parameters

Name	Default	What it controls
v_input_1	14	Ma periodo veloce
v_input_2	14	Ma periodo lungo
v_input_3	7	Ma periodi stop
v_input_4	14	RSI period

Source Pine Script

/*backtest
start: 2022-12-11 00:00:00
end: 2023-12-17 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version= 4
// form the original idea of Enrico Malverti www.enricomalverti.com , trading system 2015  
// https://sauciusfinance.altervista.org
strategy(title="MAs & RSI strategy long only", overlay = true, max_bars_back=500)

///********FROM EMAS TO SIMPLE MA *****
// NON AGGIUNTO SCHAFF INDICATOR, che serve per discriminare quali titoli scegliere dallo screener (segnale già aperto o il primo o, a parità,
//quello più alto) ==> Tolte le bande di Bollinger (che filtrano "poco")

// INPUTS 
emapf = input(14, title ="Ma periodo veloce",  minval=1, step = 1)
emapl = input(14, title ="Ma periodo lungo",  minval=1, step = 1)
emaps = input(7, title ="Ma periodi stop",  minval=1, step = 1)
rsi_period = input(14, title="RSI period", minval = 1, step = 1) 
// CALCULATIONS
maf = sma(close, emapf)
mal = sma(close, emapl)
// rsi
myrsi = rsi(close, rsi_period)
//ema stop long ed ema stop short
//Ema7 messo da "massimo" a "chiusura" come target per posizioni short. Il limite è, in questo caso, sempre ema20 (più restringente - asimmetria)
// in questo t.s., lo short viene soltanto indicato come "rappresentazione grafica", non agito
mass = sma(close, emaps)
masl = sma(low, emaps)
ma200=sma(close,200)
/// Entry
strategy.entry("Long", true, when = crossover(close,mal))

rsi1 = crossunder(myrsi,70)
rsi2 = myrsi > 75
// previously, 80
st_loss_long = crossunder(close,masl)// **chiusura sotto EMA7**
target_long= crossunder(close,maf) //* Chiusura sotto EMA14*
// exits. *RSI**Long: Target if over bandamax, loss if under bandamin. Viceversa, for short
strategy.close("Long", when = rsi1, comment="crossunder RSI")
strategy.close("Long", when = rsi2, comment ="RSI MAX")
strategy.close("Long", when = st_loss_long, comment = "Stop loss")
strategy.close("Long", when = target_long, comment = "target_long" )

plot(masl, title="ma stop long", color=#363A45, linewidth= 1, style=plot.style_cross)
plot(maf, title="MA FAST", color=#FF0000,  linewidth= 1)
plot(mal, title="MA SLOW", color=#0000FF,  linewidth= 2)
plot(mass, title="ma stop short", color=#787B86,linewidth= 1, style=plot.style_cross)
plot(ma200, title="ma200", color=color.black,  linewidth= 1)

Published by ChaoZhang on the FMZ strategy square · last modified 2023-12-18. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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