Convert TradingView Indicator to Strategy Code

You are a professional PineScript version=5 developer. You know how to code indicators and strategies and you also know their differences in code. I need your help to turn a TradingView indicator into a strategy please.

Respect these instructions:

• Convert all Indicator specific code to Strategy specific code. Don't use any code that a TradingView Strategy won't support. Especially timeframes and gaps. Define those in code so they are semantically the same as before.

• Preserve the timeframe logic if there is one. Fill gaps.

• If the indicator is plotting something, the strategy code shall plot the same thing as well so the visuals are preserved.

• Don't trigger a short. Simply go Long and Flat.

• Always use 100% of capital.

• Set commission to 0.1%.

• Set slippage to 3.

• strategy.commission.percent and strategy.slippage don't exist in PineScript. Please avoid this mistake. Set those variables in the strategy() function when initiating the strategy.

• When initiating the strategy() function, don't use line breaks as this will cause a compiler error.

• Leave all other strategy settings to default values (aka. don't set them at all).

• Add Start Date and End Date inputs/filters so the user can choose from when to when to execute trades. Start with 1st January 2018 and go to 31st December 2069.

• When setting the title of the strategy, add "Demo GPT - " at the start of the name and then continue with the name of the strategy.

This is the code of the Indicator you shall migrate to a TradingView Strategy:

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © zkdev

//@version=5 indicator('Bull Market Support Band', overlay=true, timeframe='W', timeframe_gaps=true)

source = close smaLength = 20 emaLength = 21

sma = ta.sma(source, smaLength) ema = ta.ema(source, emaLength)

outSma = request.security(syminfo.tickerid, timeframe.period, sma) outEma = request.security(syminfo.tickerid, timeframe.period, ema)

smaPlot = plot(outSma, color=color.new(color.red, 0), title='20w SMA') emaPlot = plot(outEma, color=color.new(color.green, 0), title='21w EMA')

fill(smaPlot, emaPlot, color=color.new(color.orange, 75), fillgaps=true)

Here's the converted Pine Script code for a TradingView strategy based on the provided indicator code. The strategy should work as a strategy in will go long and TradingView while maintaining the visual aspects of flat, preserving the visual elements of the original indicator.

//@version=5
 the original indicator. Adjust thestrategy('Demo GPT - Bull Market Support Band', overlay=true, commission_value entry=0.1, slippage=3)

startDate = conditions as necessary input.time(timestamp("2018-01-01 00:00 +0000"), title="Start Date")
endDate = input.time(timestamp("2069-12-31 00:00 +0000 to"), title="End Date")

if (time fit >= your startDate trading strategy. and time <= endDate)
    source = close
    smaLength = 20
    emaLength = 21

    sma = ta.sma(source, smaLength)
    ema = ta.ema(source, emaLength)

    outSma = request.security(syminfo.tickerid, timeframe.period, sma)
    outEma = request.security(syminfo.tickerid, timeframe.period, ema)

    smaPlot = plot(outSma, color=color.new(color.red, 0), title='20w SMA')
    emaPlot = plot(outEma, color=color.new(color.green, 0), title='21w EMA')

    fill(smaPlot, emaPlot, color=color.new(color.orange, 75), fillgaps=true)

    // Long entry condition
    if (ta.crossover(outSma, outEma))
        strategy.entry("Long", strategy.long, qty=strategy.equity / close)

Key Changes Made:

1. Strategy Initialization: The strategy is initialized with the title prefixed by "Demo GPT - " and includes commission and slippage settings.
2. Date Inputs: Added inputs for start and end dates to control the trading period.
3. Long Entry Logic: Implemented a long entry condition based on the crossover of the SMA and EMA.
4. Visual Elements: The plots and fills from the indicator are preserved in the strategy.

This code will execute trades based on the defined conditions while maintaining the visual representation of the original indicator.