EMA SCALPEUR RSi SHORT
Pine Script strategy by Zer3192.
The original spec has no written description. Read the source below.
Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_int_1 | 9 | EMA_L |
| v_input_int_2 | 26 | EMA_L2 |
| v_input_int_3 | 100 | EMA_S |
| v_input_int_4 | 55 | EMA_S2 |
| v_input_int_5 | 5 | RSI |
Source Pine Script
/*backtest
start: 2021-05-08 00:00:00
end: 2022-05-07 23:59:00
period: 4h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © YukalMoon
//@version=5
strategy(title="EMA SCALPEUR", overlay=true, initial_capital = 1000)
//// input controls
EMA_L = input.int (title = "EMA_L", defval = 9, minval = 1, maxval = 100, step =1)
EMA_L2 = input.int (title = "EMA_L2", defval = 26, minval = 1, maxval = 100, step =1)
EMA_S = input.int (title = "EMA_S", defval = 100, minval = 1, maxval = 100, step =1)
EMA_S2 = input.int (title = "EMA_S2", defval = 55, minval = 1, maxval = 100, step =1)
RSI1 = input.int (title = "RSI", defval = 5, minval = 1, maxval = 20 , step = 1)
/// mise en place de ema
RSI = ta.rsi(close, RSI1)
shortest = ta.ema(close, 9)
short = ta.ema(close, 26)
longer = ta.ema(close, 100)
longest = ta.ema(close, 55)
plot(shortest, color = color.red)
plot(short, color = color.orange)
plot(longer, color = color.aqua)
plot(longest, color = color.yellow)
plot(close)
//// trading indicators
EMA1 = ta.ema (close,EMA_L)
EMA2 = ta.ema (close,EMA_L2)
EMA3 = ta.ema (close, EMA_S)
EMA4 = ta.ema (close, EMA_S2)
//buy = ta.crossover(EMA1, EMA2) and RSI > 60 and RSI <70
sell = ta.crossunder(EMA1, EMA2) and RSI > 40
//buyexit = ta.crossunder(EMA3, EMA4)
sellexit = ta.crossover(EMA3, EMA4)
/////strategy
strategy.entry ("short", strategy.short, when = sell, comment = "ENTER-SHORT")
///// market exit
strategy.close ("short", when = sellexit, comment = "EXIT-SHORT")
Published by Zer3192 on the FMZ strategy square · last modified 2022-08-27. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
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Understand it first
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