Demo GPT - MACD and RSI Short Strategy

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//version=5
strategy("Demo GPT - MACD and RSI Short Strategy", overlay=true, commission_type=strategy.commission.percent, commission_value=0.1, slippage=3)
// Inputs for start and end dates
start_date = input.time(timestamp("2018-01-01 00:00"), title="Start Date")
end_date = input.time(timestamp("2069-12-31 23:59"), title="End Date")
// Inputs for MACD and RSI
macd_short_length = input.int(12, title="MACD Short Length")
macd_long_length = input.int(26, title="MACD Long Length")
macd_signal_length = input.int(9, title="MACD Signal Length")
rsi_length = input.int(14, title="RSI Length")
rsi_overbought = input.int(70, title="RSI Overbought Level")

// Calculate MACD and Signal Line
[macd_line, signal_line, _] = ta.macd(close, macd_short_length, macd_long_length, macd_signal_length)
// Fill gaps in MACD and Signal Line
macd_line := na(macd_line) ? macd_line[1] : macd_line
signal_line := na(signal_line) ? signal_line[1] : signal_line

// Calculate RSI
rsi = ta.rsi(close, rsi_length)
// Fill gaps in RSI
rsi := na(rsi) ? rsi[1] : rsi

// Strategy logic: Short when MACD crosses below Signal Line and RSI is above 70
short_condition = ta.crossover(signal_line, macd_line) and rsi > rsi_overbought

// Ensure the strategy only runs between the selected date range
if (time >= start_date and time <= end_date)
if short_condition
strategy.entry("Short", strategy.short, qty=100)
strategy.close("Short")

// Plotting MACD and RSI for reference
plot(macd_line - signal_line, color=color.red, title="MACD Histogram", linewidth=2)
hline(0, "Zero Line", color=color.gray)
plot(rsi, color=color.blue, title="RSI", linewidth=2)
hline(rsi_overbought, "RSI Overbought", color=color.red)