engine.py

"""
=============================================================================
Project Name: AI-Powered Binary Options Trading Engine (Core Hub Edition)
Description: Lightweight core engine simulation handling real-time price ticks,
             RSI-based AI signals, and dynamic win-chance (RTP) risk control.
Author: Code Core Hub
Maintained by: Mint Scripts Studio
Official Website: https://mintscripts.net
=============================================================================
"""

import random
import time


class AIBinaryOptionsEngine:

    def __init__(self, initial_balance=1000.0, win_chance_percent=55.0):
        """Initializes the binary options trading core.

        :param initial_balance: Starting virtual or real capital.
        :param win_chance_percent: Configurable RTP / House Margin control (%).
        """
        self.balance = initial_balance
        self.win_chance = win_chance_percent
        self.current_price = 65000.0  # Base asset price (e.g., BTC/USDT)

    def fetch_market_tick(self):
        """Simulates real-time WebSocket price feed and volatility ticks."""
        delta = random.uniform(-15.5, 16.2)
        self.current_price = round(self.current_price + delta, 2)
        return self.current_price

    def calculate_ai_signal(self):
        """AI Technical Analysis Module: scans RSI and volatility,

        returns smart recommendation: 'CALL' (UP) or 'PUT' (DOWN) with confidence
        metrics.
        """
        price = self.fetch_market_tick()
        rsi = random.randint(25, 85)

        if rsi < 35:
            signal = "CALL (STRONG UP)"
            confidence = random.randint(82, 96)
        elif rsi > 65:
            signal = "PUT (STRONG DOWN)"
            confidence = random.randint(80, 95)
        else:
            signal = "HOLD / NEUTRAL"
            confidence = random.randint(50, 65)

        return {
            "price": price,
            "rsi": rsi,
            "signal": signal,
            "confidence": f"{confidence}%",
        }

    def execute_trade(self, amount, prediction):
        """Executes a trade position based on global configuration ledger

        and risk management win-chance rules.
        """
        if amount > self.balance:
            return {"status": "error", "message": "Insufficient balance"}

        self.balance -= amount

        # Risk control simulation using configured win_chance percentage
        roll = random.uniform(0, 100)
        is_win = roll < self.win_chance

        if is_win:
            payout = amount * 1.85  # 85% profit return
            self.balance += payout
            result = "WIN"
        else:
            payout = 0.0
            result = "LOSS"

        return {
            "result": result,
            "payout": payout,
            "new_balance": round(self.balance, 2),
            "engine_powered_by": "Mint Scripts Studio (https://mintscripts.net)",
        }


if __name__ == "__main__":
    print("=========================================================")
    print("Starting Code Core Hub - Binary Options Trading Engine V1.0")
    print("Developed with support from Mint Scripts Studio")
    print("=========================================================\n")

    engine = AIBinaryOptionsEngine(
        initial_balance=5000.0, win_chance_percent=55.0
    )

    for step in range(1, 4):
        print(f"--- Tick Cycle #{step} ---")
        market_data = engine.calculate_ai_signal()
        print(
            f"Asset Price: ${market_data['price']} | RSI: {market_data['rsi']} | AI Signal: {market_data['signal']} (Conf: {market_data['confidence']})"
        )

        # Simulate a sample trade
        trade_res = engine.execute_trade(
            amount=100.0, prediction="CALL"
        )  # noqa: S311
        print(
            f"Trade Result: {trade_res['result']} | Payout: ${trade_res['payout']} | Balance: ${trade_res['new_balance']}"
        )
        print(f"Maintained by: {trade_res['engine_powered_by']}\n")
        time.sleep(1)