Strategy vault / Trend following
AlphaTrend Strategy
The strategy version of AlphaTrend indicator for backtesting and optimisation purposes for TradingView users: AlphaTrend Screener / Explorer version and an English explantion video will be published soon..…
The strategy version of AlphaTrend indicator for backtesting and optimisation purposes for TradingView users:
AlphaTrend
Screener / Explorer version and an English explantion video will be published soon...
AlphaTrend's parameters are designed for daily and 4H charts, feel free to optimize on all time frames.
Hope you all use Alphatrend in your profitable trades.
Kıvanç
backtest

Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_float_1 | true | Multiplier |
| v_input_1 | 14 | Common Period |
| v_input_2_close | 0 | src: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4 |
| v_input_3 | false | Show Signals? |
| v_input_4 | false | Change calculation (no volume data)? |
Source Pine Script
/*backtest
start: 2021-08-11 00:00:00
end: 2022-08-10 23:59:00
period: 1d
basePeriod: 1h
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/
// author © KivancOzbilgic
// developer © KivancOzbilgic
//@version=5
strategy("AlphaTrend Strategy", shorttitle='ATst', overlay=true, format=format.price, precision=2, margin_long=100, margin_short=100)
coeff = input.float(1, 'Multiplier', step=0.1)
AP = input(14, 'Common Period')
ATR = ta.sma(ta.tr, AP)
src = input(close)
showsignalsk = input(title='Show Signals?', defval=false)
novolumedata = input(title='Change calculation (no volume data)?', defval=false)
upT = low - ATR * coeff
downT = high + ATR * coeff
AlphaTrend = 0.0
AlphaTrend := (novolumedata ? ta.rsi(src, AP) >= 50 : ta.mfi(hlc3, AP) >= 50) ? upT < nz(AlphaTrend[1]) ? nz(AlphaTrend[1]) : upT : downT > nz(AlphaTrend[1]) ? nz(AlphaTrend[1]) : downT
color1 = AlphaTrend > AlphaTrend[2] ? #00E60F : AlphaTrend < AlphaTrend[2] ? #80000B : AlphaTrend[1] > AlphaTrend[3] ? #00E60F : #80000B
k1 = plot(AlphaTrend, color=color.new(#0022FC, 0), linewidth=3)
k2 = plot(AlphaTrend[2], color=color.new(#FC0400, 0), linewidth=3)
fill(k1, k2, color=color1)
buySignalk = ta.crossover(AlphaTrend, AlphaTrend[2])
sellSignalk = ta.crossunder(AlphaTrend, AlphaTrend[2])
K1 = ta.barssince(buySignalk)
K2 = ta.barssince(sellSignalk)
O1 = ta.barssince(buySignalk[1])
O2 = ta.barssince(sellSignalk[1])
plotshape(buySignalk and showsignalsk and O1 > K2 ? AlphaTrend[2] * 0.9999 : na, title='BUY', text='BUY', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(#0022FC, 0), textcolor=color.new(color.white, 0))
plotshape(sellSignalk and showsignalsk and O2 > K1 ? AlphaTrend[2] * 1.0001 : na, title='SELL', text='SELL', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.maroon, 0), textcolor=color.new(color.white, 0))
longCondition = buySignalk
if (longCondition)
strategy.entry("Long", strategy.long)
shortCondition = sellSignalk
if (shortCondition)
strategy.entry("Short", strategy.short)
Published by ChaoZhang on the FMZ strategy square · last modified 2022-08-12. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
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/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/AlphaTrend-Strategy.md- npx agenkit install engineering-kit in your project
- Paste the command into your agent and approve each phase
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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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