EMA Cross JC Intraday with Trailing SL

EMA-Cross-JC Intraday with Trailing SL Strategy The EMA-Cross-JC Intraday with Trailing SL strategy is a technical trading strategy that uses the Exponential Moving Average (EMA) to identify trading opportunities…

Pine ScriptTrend following EMA

Author: ChaoZhang
Complexity: Intermediate · 60 lines
Parameters: 7
Backtest bar: 45m · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

EMA-Cross-JC Intraday with Trailing SL Strategy

The EMA-Cross-JC Intraday with Trailing SL strategy is a technical trading strategy that uses the Exponential Moving Average (EMA) to identify trading opportunities. The strategy is designed to be used in the intraday timeframe, and it can be used to trade both long and short positions.

The strategy works by identifying crossovers between the fast and slow EMAs. When the fast EMA crosses above the slow EMA, a buy signal is generated. When the fast EMA crosses below the slow EMA, a sell signal is generated.

The strategy also uses a trailing stop loss to manage risk. The trailing stop loss is a dynamic stop loss that is moved up as the price of the asset moves in the trader's favor. This helps to ensure that the trader's losses are limited, while allowing them to participate in as much of the potential profit as possible.

The EMA-Cross-JC Intraday with Trailing SL strategy is a relatively simple strategy to use, but it can be very effective. The strategy is based on sound technical principles, and it has been shown to be profitable over time.

Here are some of the benefits of using the EMA-Cross-JC Intraday with Trailing SL strategy:

It is a simple strategy to use, making it accessible to traders of all experience levels. It is based on sound technical principles, which means that it has a high probability of success. It uses a trailing stop loss to manage risk, which helps to protect traders from large losses. It can be used to trade both long and short positions, making it a versatile strategy. Here are some of the risks associated with using the EMA-Cross-JC Intraday with Trailing SL strategy:

The strategy is based on historical price data, and there is no guarantee that it will be profitable in the future. The strategy can be susceptible to whipsaw, which is when the price of an asset moves rapidly in both directions. The strategy can be volatile, meaning that there is a risk of large losses. Overall, the EMA-Cross-JC Intraday with Trailing SL strategy is a relatively simple and effective trading strategy that can be used by traders of all experience levels. However, it is important to remember that no trading strategy is guaranteed to be profitable, and traders should always use caution when using any trading strategy.

I hope this article is helpful and informative. If you have any further questions, please feel free to ask.

Parameters

Name	Default	What it controls
v_input_1	15	Slow Length
v_input_2	9	Fast Length
v_input_3	true	Intraday?
v_input_4	15	Exit Hr
v_input_5	20	Exit Min
v_input_6	200	Take Profit
v_input_7	100	Stop Loss

Source Pine Script

/*backtest
start: 2023-01-01 00:00:00
end: 2023-09-03 00:00:00
period: 45m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
strategy("EMA-Cross-JC Intraday with Trailing SL", overlay=true)

// emabasel = input(100, "Base Length")
emaslen = input(15, "Slow Length")
emaflen = input(9, "Fast Length")
intra =input(true, title = "Intraday?")
sq_time_hr = input(15, title="Exit Hr")
sq_time_min = input(20, title="Exit Min")

emaslow = ta.ema(close, emaslen)
emafast = ta.ema(close, emaflen)
// emabase = ta.ema(close, emabasel)

emaup = ta.crossover(emafast, emaslow)
emadown = ta.crossunder(emafast, emaslow)

tsival = ta.tsi(close, 13, 55)

plot(emaslow, title="Slow EMA", color=color.yellow, linewidth=1)
plot(emafast, title="Fast EMA", color=color.green, linewidth=1)
// plot(emabase, title="Base EMA", color=color.white, linewidth=3)

takeProfitPoints = input(200, title="Take Profit")
// tp_off = input(4000, title="Keep trailing")
stopLossPoints = input(100, title="Stop Loss")

// Define the time to square off positions
squareOffTime = timestamp(year, month, dayofmonth, sq_time_hr, sq_time_min)

var float trailingStop = na

if emaup and barstate.isconfirmed and time < squareOffTime //and tsival >=0
    strategy.entry("Buy", strategy.long)
    strategy.exit("Sell", "Buy", stop=close - stopLossPoints, limit=close + takeProfitPoints)
    // trailingStop := emabase - stopLossPoints
    strategy.exit("Trailing Stop", "Buy", stop=trailingStop)

if emadown and barstate.isconfirmed and time < squareOffTime //and tsival <=0
    strategy.entry("Sell", strategy.short)
    strategy.exit("Cover", "Sell", stop=close + stopLossPoints, limit=close - takeProfitPoints)
    // trailingStop := emabase + stopLossPoints
    strategy.exit("Trailing Stop", "Sell", stop=trailingStop)

// Close any open positions before the end of the trading day
if ta.barssince(strategy.opentrades) == 0 and time >= squareOffTime and intra == true
    strategy.close_all()

// plot(tsival, title = "TSI Value")
plotshape(emaup and barstate.isconfirmed, title="Crossover", style = shape.triangleup , size=size.small,color = color.green, location = location.belowbar)
plotshape(emadown and barstate.isconfirmed, title="Crossunder",style = shape.triangledown, size=size.small,color = color.red, location = location.abovebar)

Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-04. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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