EMA Trading Strategy
This strategy trades based on EMA analysis, with the following rules:
Enter long if previous day’s close is above EMA
Exit long if current candle closes below EMA
Advantages of this strategy:
Potential issues:
Overall, the EMA strategy works better in trending markets but should be used cautiously. Adding stops and filters would help optimize the strategy.
/*backtest
start: 2023-01-01 00:00:00
end: 2023-09-10 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"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/
// © ericdwyang
//@version=5
strategy("EMA Strat", overlay=true, margin_long=100, margin_short=100)
// EMA Variables
emaInput = input(21, "Length")
ema = ta.ema(close, emaInput)
// Variable Declaration
p = 0
start = false
// Start Date
yearInput = input(2000, "Year")
if (time >= timestamp(2000,01,01,01,01))
start := true
// Check first candle relative to EMA
if (close > ema and start == true)
p += 1
strategy.entry("Long", strategy.long, comment = "Entry")
// Candle close above EMA (p + 1, count reset to 0)
above = close[1] > ema[1]
if (above)
p += 1
// Candle close below EMA (reset p to 0, count -1)
below = close < ema
if (below)
p := 0
strategy.close("Long", comment = "Flat")
// // Exit Position
// if (redCount == -2)
// strategy.close("Long", comment = "Flat")
// goLong = p[1] == 0 and p == 1
// flatten = p == 0
// // Restablish long
// if (goLong and start == true)
// strategy.entry("Long", strategy.long, comment = "Entry")
plot(p)
plot(ema)