trader-mcp/strategies/stop_loss_trader.py

from __future__ import annotations

from datetime import datetime, timezone

from src.trader_mcp.strategy_sdk import Strategy
from src.trader_mcp.logging_utils import log_event


class Strategy(Strategy):
    LABEL = "Stop Loss Rebalancer"
    TICK_MINUTES = 0.2
    CONFIG_SCHEMA = {
        "regime_timeframes": {"type": "list", "default": ["1d", "4h", "1h", "15m"]},
        "trend_enter_threshold": {"type": "float", "default": 0.7, "min": 0.0, "max": 1.0},
        "trend_exit_threshold": {"type": "float", "default": 0.45, "min": 0.0, "max": 1.0},
        "trail_distance_pct": {"type": "float", "default": 0.03, "min": 0.0, "max": 1.0},
        "rebalance_target_ratio": {"type": "float", "default": 0.5, "min": 0.0, "max": 1.0},
        "rebalance_step_ratio": {"type": "float", "default": 0.15, "min": 0.0, "max": 1.0},
        "min_order_size": {"type": "float", "default": 0.0, "min": 0.0},
        "max_order_size": {"type": "float", "default": 0.0, "min": 0.0},
        "order_spacing_ticks": {"type": "int", "default": 1, "min": 0, "max": 1000},
        "cooldown_ticks": {"type": "int", "default": 2, "min": 0, "max": 1000},
        "balance_tolerance": {"type": "float", "default": 0.05, "min": 0.0, "max": 1.0},
        "fee_rate": {"type": "float", "default": 0.0025, "min": 0.0, "max": 0.05},
        "debug_orders": {"type": "bool", "default": True},
    }
    STATE_SCHEMA = {
        "last_price": {"type": "float", "default": 0.0},
        "last_action": {"type": "string", "default": "idle"},
        "last_error": {"type": "string", "default": ""},
        "debug_log": {"type": "list", "default": []},
        "regimes": {"type": "dict", "default": {}},
        "regimes_updated_at": {"type": "string", "default": ""},
        "base_available": {"type": "float", "default": 0.0},
        "counter_available": {"type": "float", "default": 0.0},
        "trailing_anchor": {"type": "float", "default": 0.0},
        "cooldown_remaining": {"type": "int", "default": 0},
    }

    def init(self):
        return {
            "last_price": 0.0,
            "last_action": "idle",
            "last_error": "",
            "debug_log": ["init stop loss rebalancer"],
            "regimes": {},
            "regimes_updated_at": "",
            "base_available": 0.0,
            "counter_available": 0.0,
            "trailing_anchor": 0.0,
            "cooldown_remaining": 0,
        }

    def _log(self, message: str) -> None:
        state = getattr(self, "state", {}) or {}
        log = list(state.get("debug_log") or [])
        log.append(message)
        state["debug_log"] = log[-12:]
        self.state = state
        log_event("stoploss", message)

    def _base_symbol(self) -> str:
        return (self.context.base_currency or self.context.market_symbol or "XRP").split("/")[0].upper()

    def _market_symbol(self) -> str:
        return self.context.market_symbol or f"{self._base_symbol().lower()}usd"

    def _live_fee_rate(self) -> float:
        try:
            payload = self.context.get_fee_rates(self._market_symbol())
            return float(payload.get("maker") or 0.0)
        except Exception as exc:
            self._log(f"fee lookup failed: {exc}")
            return float(self.config.get("fee_rate", 0.0025) or 0.0)

    def _price(self) -> float:
        payload = self.context.get_price(self._base_symbol())
        return float(payload.get("price") or 0.0)

    def _refresh_regimes(self) -> None:
        regimes: dict[str, dict] = {}
        for tf in self.config.get("regime_timeframes") or ["1d", "4h", "1h", "15m"]:
            try:
                regimes[str(tf)] = self.context.get_regime(self._base_symbol(), str(tf))
            except Exception as exc:
                regimes[str(tf)] = {"error": str(exc)}
        self.state["regimes"] = regimes
        self.state["regimes_updated_at"] = datetime.now(timezone.utc).isoformat()

    def _refresh_balance_snapshot(self) -> None:
        try:
            info = self.context.get_account_info()
        except Exception as exc:
            self._log(f"balance refresh failed: {exc}")
            return
        balances = info.get("balances") if isinstance(info, dict) else []
        if not isinstance(balances, list):
            return
        base = self._base_symbol()
        quote = str(self.context.counter_currency or "USD").upper()
        for balance in balances:
            if not isinstance(balance, dict):
                continue
            asset = str(balance.get("asset_code") or "").upper()
            try:
                available = float(balance.get("available") if balance.get("available") is not None else balance.get("total") or 0.0)
            except Exception:
                continue
            if asset == base:
                self.state["base_available"] = available
            if asset == quote:
                self.state["counter_available"] = available

    def _regime_strength(self) -> float:
        regimes = self.state.get("regimes") or {}
        strengths = []
        for tf in self.config.get("regime_timeframes") or []:
            regime = regimes.get(str(tf)) or {}
            trend = regime.get("trend") or {}
            strengths.append(float(trend.get("strength") or 0.0))
        return max(strengths) if strengths else 0.0

    def _is_trending(self) -> bool:
        strength = self._regime_strength()
        return strength >= float(self.config.get("trend_enter_threshold", 0.7) or 0.7)

    def _account_value_ratio(self, price: float) -> float:
        base_value = float(self.state.get("base_available") or 0.0) * price
        counter_value = float(self.state.get("counter_available") or 0.0)
        total = base_value + counter_value
        if total <= 0:
            return 0.5
        return base_value / total

    def _desired_side(self, price: float) -> str:
        # If base dominates, sell some into strength, otherwise buy some back.
        ratio = self._account_value_ratio(price)
        target = float(self.config.get("rebalance_target_ratio", 0.5) or 0.5)
        return "sell" if ratio > target else "buy"

    def _suggest_amount(self, side: str, price: float) -> float:
        fee_rate = self._live_fee_rate()
        step_ratio = float(self.config.get("rebalance_step_ratio", 0.15) or 0.0)
        target = float(self.config.get("rebalance_target_ratio", 0.5) or 0.5)
        min_order = float(self.config.get("min_order_size", 0.0) or 0.0)
        max_order = float(self.config.get("max_order_size", 0.0) or 0.0)
        balance_tolerance = float(self.config.get("balance_tolerance", 0.05) or 0.0)
        base_value = float(self.state.get("base_available") or 0.0) * price
        counter_value = float(self.state.get("counter_available") or 0.0)
        total = base_value + counter_value
        if total <= 0 or price <= 0:
            return 0.0
        current = base_value / total
        drift = abs(current - target)
        if drift <= balance_tolerance:
            return 0.0

        notional = total * min(drift, step_ratio)
        if side == "sell":
            amount = notional / (price * (1 + fee_rate))
            amount = min(amount, float(self.state.get("base_available") or 0.0))
        else:
            amount = notional / (price * (1 + fee_rate))
            amount = min(amount, float(self.state.get("counter_available") or 0.0) / price if price > 0 else 0.0)

        if min_order > 0:
            amount = max(amount, min_order)
        if max_order > 0:
            amount = min(amount, max_order)
        return max(amount, 0.0)

    def on_tick(self, tick):
        self.state["last_error"] = ""
        self._log(f"tick alive price={self.state.get('last_price') or 0.0}")
        self._refresh_balance_snapshot()
        self._refresh_regimes()
        price = self._price()
        self.state["last_price"] = price

        if int(self.state.get("cooldown_remaining") or 0) > 0:
            self.state["cooldown_remaining"] = int(self.state.get("cooldown_remaining") or 0) - 1
            self.state["last_action"] = "cooldown"
            return {"action": "cooldown", "price": price}

        if not self._is_trending():
            self.state["last_action"] = "standby"
            return {"action": "standby", "price": price}

        side = self._desired_side(price)
        amount = self._suggest_amount(side, price)
        trail_distance = float(self.config.get("trail_distance_pct", 0.03) or 0.03)

        if amount <= 0:
            self.state["last_action"] = "hold"
            return {"action": "hold", "price": price}

        try:
            market = self._market_symbol()
            if side == "sell":
                self.state["trailing_anchor"] = max(float(self.state.get("trailing_anchor") or 0.0), price)
                order_price = round(price * (1 + trail_distance), 8)
            else:
                self.state["trailing_anchor"] = min(float(self.state.get("trailing_anchor") or price), price) if self.state.get("trailing_anchor") else price
                order_price = round(price * (1 - trail_distance), 8)

            if self.config.get("debug_orders", True):
                self._log(f"{side} rebalance amount={amount:.6g} price={order_price} ratio={self._account_value_ratio(price):.4f}")

            result = self.context.place_order(
                side=side,
                order_type="limit",
                amount=amount,
                price=order_price,
                market=market,
            )
            self.state["cooldown_remaining"] = int(self.config.get("cooldown_ticks", 2) or 2)
            self.state["last_action"] = f"{side}_rebalance"
            return {"action": side, "price": order_price, "amount": amount, "result": result}
        except Exception as exc:
            self.state["last_error"] = str(exc)
            self._log(f"rebalance failed: {exc}")
            self.state["last_action"] = "error"
            return {"action": "error", "price": price, "error": str(exc)}

    def render(self):
        return {
            "widgets": [
                {"type": "metric", "label": "market", "value": self._market_symbol()},
                {"type": "metric", "label": "price", "value": round(float(self.state.get("last_price") or 0.0), 6)},
                {"type": "metric", "label": "state", "value": self.state.get("last_action", "idle")},
                {"type": "metric", "label": "base avail", "value": round(float(self.state.get("base_available") or 0.0), 8)},
                {"type": "metric", "label": "counter avail", "value": round(float(self.state.get("counter_available") or 0.0), 8)},
                {"type": "metric", "label": "ratio", "value": round(self._account_value_ratio(float(self.state.get("last_price") or 0.0) or 1.0), 4)},
                {"type": "metric", "label": "trailing anchor", "value": round(float(self.state.get("trailing_anchor") or 0.0), 6)},
                {"type": "metric", "label": "cooldown", "value": int(self.state.get("cooldown_remaining") or 0)},
                {"type": "text", "label": "error", "value": self.state.get("last_error", "") or "none"},
                {"type": "log", "label": "debug log", "lines": self.state.get("debug_log") or []},
            ]
        }