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 5% 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 2020 and go to 31st December 2050.

- 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:




//@version=3
study(title="Magic MA", shorttitle="Magic MA", overlay=true, max_bars_back=2000)

// Author:  JustUncleL
// Description: Modified to remove all but MA Slow elements

// Slow MA - type, source, length
type3   = input(defval="HullMA", title="Slow MA Type: ", options=["SMA", "EMA", "WMA", "VWMA", "SMMA", "DEMA", "TEMA", "HullMA", "ZEMA", "TMA", "SSMA"], type=string)
len3    = input(defval=34, title="Slow Length", minval=1)

// Function to return MA variant
variant(type, src, len) =>
    v1 = sma(src, len)                                                  // Simple
    v2 = ema(src, len)                                                  // Exponential
    v3 = wma(src, len)                                                  // Weighted
    v4 = vwma(src, len)                                                 // Volume Weighted
    v5 = 0.0
    v5 := na(v5[1]) ? sma(src, len) : (v5[1] * (len - 1) + src) / len    // Smoothed
    v6 = 2 * v2 - ema(v2, len)                                          // Double Exponential
    v7 = 3 * (v2 - ema(v2, len)) + ema(ema(v2, len), len)               // Triple Exponential
    v8 = wma(2 * wma(src, len / 2) - wma(src, len), round(sqrt(len)))   // Hull
    v11 = sma(sma(src,len),len)                                         // Triangular
    // SuperSmoother filter
    a1 = exp(-1.414*3.14159 / len)
    b1 = 2*a1*cos(1.414*3.14159 / len)
    c2 = b1
    c3 = (-a1)*a1
    c1 = 1 - c2 - c3
    v9 = 0.0
    v9 := c1*(src + nz(src[1])) / 2 + c2*nz(v9[1]) + c3*nz(v9[2])
    // Zero Lag Exponential
    e = ema(v1, len)
    v10 = v1+(v1-e)
    // return variant, defaults to SMA if input invalid.
    type=="EMA"?v2 : type=="WMA"?v3 : type=="VWMA"?v4 : type=="SMMA"?v5 : type=="DEMA"?v6 : type=="TEMA"?v7 : type=="HullMA"?v8 : type=="SSMA"?v9 : type=="ZEMA"?v10 : type=="TMA"? v11: v1

// Series variable for slow MA
srcclose = close
ma_slow = variant(type3, srcclose, len3)

// Plotting
plot(ma_slow, title="MA Slow", color=#39FF14, linewidth=2, transp=0)

// EOF