example.py

from mqpy.src.rates import Rates
from mqpy.src.tick import Tick
from mqpy.src.trade import Trade

# Initialize the trading strategy
trade = Trade(
    expert_name="Moving Average Crossover",
    version=1.0,
    symbol="EURUSD",
    magic_number=567,
    lot=0.1,
    stop_loss=25,
    emergency_stop_loss=300,
    take_profit=25,
    emergency_take_profit=300,
    start_time="9:15",
    finishing_time="17:30",
    ending_time="17:50",
    fee=0.5,
)

# Main trading loop
prev_tick_time = 0
short_window_size = 5
long_window_size = 20  # Adjust the window size as needed

while True:
    # Fetch tick and rates data
    current_tick = Tick(trade.symbol)
    historical_rates = Rates(trade.symbol, long_window_size, 0, 1)

    # Check for new tick
    if current_tick.time_msc != prev_tick_time:
        # Calculate moving averages
        short_ma = sum(historical_rates.close[-short_window_size:]) / short_window_size
        long_ma = sum(historical_rates.close[-long_window_size:]) / long_window_size

        # Generate signals based on moving average crossover
        is_cross_above = short_ma > long_ma and current_tick.last > short_ma
        is_cross_below = short_ma < long_ma and current_tick.last < short_ma

        # Execute trading positions based on signals
        trade.open_position(is_cross_above, is_cross_below, "Moving Average Crossover Strategy")

    prev_tick_time = current_tick.time_msc

    # Check if it's the end of the trading day
    if trade.days_end():
        trade.close_position("End of the trading day reached.")
        break

print("Finishing the program.")
print("Program finished.")