this is my code: import yfinance as yf
import pandas as pd
import itertools

# Define the period for data retrieval
data_period = '10d'  # You can change this to '10d', '1mo', '1y', etc.

# Define the trade type (long or short)
trade_type = 'long'  # You can change this to 'short'

# Define the take profit and stop loss targets in dollar amounts
take_profit_target = 100  # You can adjust this as needed
stop_loss_target = 100  # You can adjust this as needed

# Define the number of units to trade
units = 10000

# Download historical data for AUD/USD with a 5-minute interval
data_5min = yf.download('AUDUSD=X', period=data_period, interval='5m')

# Download historical data for AUD/USD with an hourly interval
data_hourly = yf.download('AUDUSD=X', period=data_period, interval='60m')

# Function to find the next available hour
def find_next_available_hour(data, start_hour):
    for i in range(start_hour, 24):
        data_hour = data.loc[data.index.hour == i]
        if not data_hour.empty:
            return data_hour.iloc[:1]  # Return a DataFrame with a single row
    return pd.DataFrame()  # Return an empty DataFrame if no data is found

# Function to find the next available 5-minute interval
def find_next_available_interval(data, start_minute):
    for i in range(start_minute, 288):  # 288 intervals in a trading day
        data_interval = data.iloc[i]
        if not pd.isnull(data_interval['Open']):
            return data_interval
    return pd.Series()  # Return an empty Series if no data is found

# Function to calculate total profit for a given combination of trade execution hour, trade closing hour, take profit interval, and stop loss interval
def calculate_total_profit(data_hourly, data_5min, exec_hour, close_hour, take_profit_interval, stop_loss_interval, trade_type, take_profit, stop_loss, units):
    total_profit = 0
    total_take_profit = 0
    total_stop_loss = 0
    total_close_profit = 0
    trade_count = 0

    for i in range(exec_hour, close_hour):
        data_exec = find_next_available_hour(data_hourly, i)
        data_close = find_next_available_hour(data_hourly, i+1)

        for j in range(len(data_exec)):
            open_price = data_exec.iloc[j]['Open']
            close_price = data_close.iloc[j]['Close']

            # Calculate the take profit and stop loss levels based on the open price and the profit/loss targets
            take_profit_level = open_price + (take_profit / units)
            stop_loss_level = open_price - (stop_loss / units)

            # Initialize trade_closed variable
            trade_closed = False

            # Check if the take profit or stop loss is hit at the specified intervals
            take_profit_hit = False
            stop_loss_hit = False
            for k in range(j * 12, (j + 1) * 12):  # 12 intervals in an hour
                data_interval = data_5min.iloc[k]
                if not pd.isnull(data_interval['Open']):
                    if trade_type == 'long':
                        if data_interval['High'] >= take_profit_level:
                            take_profit_hit = True
                            close_price = data_interval['High']
                            trade_closed = True
                            break
                        elif data_interval['Low'] <= stop_loss_level:
                            stop_loss_hit = True
                            close_price = data_interval['Low']
                            trade_closed = True
                            break
                    elif trade_type == 'short':
                        if data_interval['Low'] <= take_profit_level:
                            take_profit_hit = True
                            close_price = data_interval['Low']
                            trade_closed = True
                            break
                        elif data_interval['High'] >= stop_loss_level:
                            stop_loss_hit = True
                            close_price = data_interval['High']
                            trade_closed = True
                            break

            if trade_closed:
                trade_count += 1
                profit = units * (close_price - open_price) if trade_type == 'long' else units * (
                            open_price - close_price)
                total_profit += profit
                if take_profit_hit:
                    total_take_profit += profit
                elif stop_loss_hit:
                    total_stop_loss += profit
            elif j == len(data_exec) - 1:  # Check if it's the last trade of the day
                trade_count += 1
                profit = units * (close_price - open_price) if trade_type == 'long' else units * (
                            open_price - close_price)
                total_profit += profit
                total_close_profit += profit

    return total_take_profit, total_stop_loss, total_close_profit, total_profit, trade_count

# Find the combination of trade execution hour, trade closing hour, take profit interval, and stop loss interval that gives the highest total profit
max_profit = 0
best_exec_hour = None
best_close_hour = None
best_take_profit_interval = None
best_stop_loss_interval = None
best_total_take_profit = None
best_total_stop_loss = None
best_total_close_profit = None

for exec_hour, close_hour in itertools.product(range(24), repeat=2):
    if exec_hour >= close_hour:
        continue

    for take_profit_interval, stop_loss_interval in itertools.product(range(12), repeat=2):
        if take_profit_interval <= stop_loss_interval:
            continue

        take_profit = (take_profit_target / units)
        stop_loss = (stop_loss_target / units)

        total_take_profit, total_stop_loss, total_close_profit, total_profit, trade_count = calculate_total_profit(data_hourly, data_5min, exec_hour, close_hour, take_profit_interval, stop_loss_interval, trade_type, take_profit, stop_loss, units)

        avg_profit_per_trade = total_profit / trade_count if trade_count > 0 else 0

        if avg_profit_per_trade > max_profit:
            max_profit = avg_profit_per_trade
            best_exec_hour = exec_hour
            best_close_hour = close_hour
            best_take_profit_interval = take_profit_interval
            best_stop_loss_interval = stop_loss_interval
            best_total_take_profit = total_take_profit
            best_total_stop_loss = total_stop_loss
            best_total_close_profit = total_close_profit

print(f"Best trade execution hour: {best_exec_hour}")
print(f"Best trade closing hour: {best_close_hour}")
print(f"Best take profit interval: {best_take_profit_interval * 5} minutes")
print(f"Best stop loss interval: {best_stop_loss_interval * 5} minutes")
print(f"Maximum average profit per trade: {max_profit}")
print(f"Total profit from take profit: {best_total_take_profit}")
print(f"Total loss from stop loss: {best_total_stop_loss}")
print(f"Total profit or loss not triggered from take profit or stop loss: {best_total_close_profit}")
this is result i got: Best trade execution hour: 18
Best trade closing hour: 19
Best take profit interval: 5 minutes
Best stop loss interval: 0 minutes
Maximum average profit per trade: 13.421177864074707
Total profit from take profit: 13.421177864074707
Total loss from stop loss: 0
Total profit or loss not triggered from take profit or stop loss: 0 it seems wrong as it means it does only one trade, but regardless of how trade closed, once the trade closed it should execute another trade. please give me whole modified code.