first

//@version=4
strategy("Tesla Grid Trading Strategy", overlay=true)

// Define parameters for the grid
gridSize = input(title="Grid Size", type=input.float, defval=25.0)
gridMax = input(title="Grid Maximum Price", type=input.float, defval=800.0)
gridMin = input(title="Grid Minimum Price", type=input.float, defval=300.0)

// Calculate the number of buy levels to create based on the grid size
numLevels = round((gridMax - gridMin)/gridSize)
buyLevels = array.new_float(numLevels, na)

// Set the initial buy level at the grid minimum value
array.set(buyLevels, 0, gridMin)

// Loop through the remaining buy levels and set them at regular intervals
for i = 1 to numLevels - 1
prev = array.get(buyLevels, i-1)
array.set(buyLevels, i, prev + gridSize)

// Create a buy limit order for each buy level
for i = 0 to numLevels - 1
strategy.entry("Buy", strategy.long, qty=100, limit=array.get(buyLevels, i))

// Create a stop loss strategy
stopLoss = input(title="Stop Loss Level", type=input.float, defval=250.0)
strategy.exit("Stop Loss", "Buy", stop = stopLoss)