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Strategy vault / Other

Moving Average Buy Sell

Takes two moving averages of different lengths to formulate buy/sell colors on average EMA . backtest

Pine ScriptOtherEMA
Author
ChaoZhang
Complexity
Starter · 43 lines
Parameters
4
Backtest bar
4h · intraday
Tested on
BTC/USDT · futures

Takes two moving averages of different lengths to formulate buy/sell colors on average EMA .

backtest

IMG

Parameters

NameDefaultWhat it controls
v_input_1_close0Source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4
v_input_int_120Length Wave
v_input_2_close0Source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4
v_input_int_2200Length Tide

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/
// © dannhau2

//@version=5
indicator(title="Moving Average Buy-Sell", shorttitle="MABS", overlay=true, timeframe="", timeframe_gaps=true)

Wave = ta.ema(input(close, title="Source"), input.int(20, minval=1, title="Length Wave"))
Tide = ta.ema(input(close, title="Source"), input.int(200, minval=1, title="Length Tide"))
AVG = (Wave + Tide)/2

Up = ta.crossover(Wave, Tide)
Down = ta.crossover(Tide,Wave)

var col = color.red

if Up
    col := color.lime

if Down
    col := color.red


P1=plot(AVG, title="MABS", color=col, linewidth = 3, display=display.none)
P2=plot(Wave, title="MA-Wave", color=col, linewidth = 2)
P3=plot(Tide, title="MA-Tide", color=col, linewidth = 3)

fill(P2, P3, color= Wave > Tide ? color.new(color.lime,70):color.new(color.red, 70))

alertcondition(Up, title="Trend Changed Positive", message="Trend Changed Positive")
alertcondition(Down, title="Trend Changed Negative", message="Trend Changed Negative")

if Up
    strategy.entry("Enter Long", strategy.long)
else if Down
    strategy.entry("Enter Short", strategy.short)

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-09. 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

Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.

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