# QuantJourney Backtester
# Copyright (c) 2026 QuantJourney.
# Licensed under the Apache License 2.0.

"""
Example Orders 07 - Stop-Limit Breakout
=======================================

Mode: orders.
Order type: STOP_LIMIT.
Idea: enter breakouts, but refuse to pay far above the stop trigger.
Universe: three predeclared liquid ETFs: SPY, QQQ and IWM.

The stop activates above the recent 20-day high. The limit caps the maximum
entry price. This demonstrates fill risk: the order can trigger but not fill.

Usage:
    ./strategy.sh example_orders_07_stop_limit_breakout
"""

import asyncio
import os

import pandas as pd

from backtester import Backtester
from backtester.execution.commission import FixedBpsCommission
from backtester.execution.order_types import Order, OrderSide, OrderType
from backtester.execution.slippage import FixedBpsSlippage


def _credentials() -> dict:
    api_key = os.environ.get("QJ_API_KEY")
    return {
        "api_key": api_key,
        "email": None if api_key else os.environ.get("QJ_EMAIL"),
        "password": None if api_key else os.environ.get("QJ_PASSWORD"),
    }


class StopLimitBreakout(Backtester):
    """Breakout entries using stop-limit buy orders."""

    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        self._bar_count = {}
        self._entry_bar = {}

    def _has_pending(self, instrument: str) -> bool:
        return any(
            o.instrument == instrument and o.is_active for o in self.fill_engine.pending_orders
        )

    def _compute_orders(self, date, bars, current_positions, nav) -> None:
        close = self.instruments_data.get_feature("adj_close")
        if date not in close.index:
            return

        idx = close.index.get_loc(date)
        if idx < 21:
            return

        for inst in self.instruments:
            self._bar_count[inst] = self._bar_count.get(inst, 0) + 1
            bar = bars[inst]
            pos = current_positions.get(inst, 0.0)

            if pos > 0 and inst not in self._entry_bar:
                self._entry_bar[inst] = self._bar_count[inst]
            if pos == 0:
                self._entry_bar.pop(inst, None)

            if pos > 0 and self._bar_count[inst] - self._entry_bar.get(inst, 0) >= 12:
                self.fill_engine.cancel_all(instrument=inst)
                self.fill_engine.submit(Order(inst, OrderSide.SELL, pos, OrderType.MARKET))
                self._entry_bar.pop(inst, None)
                continue

            if pos == 0 and not self._has_pending(inst):
                prior_high = close[inst].iloc[idx - 20 : idx].max()
                if pd.isna(prior_high):
                    continue
                stop_price = round(prior_high * 1.002, 2)
                limit_price = round(stop_price * 1.004, 2)
                shares = int(nav * 0.10 / bar.close)
                if shares > 0:
                    self.fill_engine.submit(
                        Order(
                            inst,
                            OrderSide.BUY,
                            shares,
                            OrderType.STOP_LIMIT,
                            stop_price=stop_price,
                            limit_price=limit_price,
                            expires_after_bars=5,
                        )
                    )


async def main() -> None:
    strategy = StopLimitBreakout(
        **_credentials(),
        strategy_name="ExampleOrders07_StopLimitBreakout",
        initial_capital=100_000,
        instruments=["SPY", "QQQ", "IWM"],
        backtest_period={"start": "2001-01-03", "end": "2026-01-01"},
        benchmark_symbol="SPY",
        benchmark_name="SPDR S&P 500 ETF Trust",
        source="yfinance",
        execution_mode="orders",
        max_position_size=0.20,
        indicators_config=[],
        slippage_model=FixedBpsSlippage(bps=4.0),
        commission_scheme=FixedBpsCommission(bps=1.0),
        show_text_reports=True,
        save_text_reports=True,
        save_portfolio_plots=True,
        show_portfolio_plots=False,
    )
    await strategy.run_strategy()
    strategy.print_summary()


if __name__ == "__main__":
    asyncio.run(main())