Bitfinex needs time to release locked balance after cancelling a stop order. Increased wait from 0.3s to 1.0s, and added a one-time retry with 2s delay if the first attempt fails. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
563 lines
24 KiB
Python
563 lines
24 KiB
Python
#!/usr/bin/env python3
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"""LLM-driven cryptocurrency trading system — single-run mode for crontab."""
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import json
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import logging
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import os
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import sys
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import time
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from datetime import datetime
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import config
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import data_fetcher
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import indicators
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import llm_analyzer
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import portfolio as pf
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import risk_manager
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import slack_notifier
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import trade_logger
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import trader
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# ---------------------------------------------------------------------------
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# Logging setup
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# ---------------------------------------------------------------------------
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
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handlers=[
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logging.StreamHandler(sys.stdout),
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logging.FileHandler("trading.log"),
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],
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)
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logger = logging.getLogger("main")
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STATE_FILE = "bot_state.json"
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STOP_ORDERS_FILE = "stop_orders.json"
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def _calc_atr_stop_price(entry_price: float, atr: float) -> float:
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"""根據 ATR 動態計算止損價,帶上下限。"""
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atr_pct = (atr * config.ATR_SL_MULTIPLIER) / entry_price
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bounded_pct = max(config.ATR_SL_MIN_PCT, min(config.ATR_SL_MAX_PCT, atr_pct))
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return round(entry_price * (1 - bounded_pct), 8)
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def _load_state() -> dict:
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if os.path.exists(STATE_FILE):
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try:
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with open(STATE_FILE) as f:
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return json.load(f)
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except (json.JSONDecodeError, IOError):
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pass
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return {"last_status_report": 0, "run_count": 0}
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def _save_state(state: dict):
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with open(STATE_FILE, "w") as f:
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json.dump(state, f, indent=2)
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def _load_tracked_stops() -> dict:
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"""Load tracked stop orders from file. Returns {symbol: {order_id, stop_price, entry_price, amount}}."""
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if os.path.exists(STOP_ORDERS_FILE):
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try:
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with open(STOP_ORDERS_FILE) as f:
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return json.load(f)
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except (json.JSONDecodeError, IOError):
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pass
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return {}
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def _save_tracked_stops(stops: dict):
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with open(STOP_ORDERS_FILE, "w") as f:
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json.dump(stops, f, indent=2)
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def run_cycle():
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"""Execute one full trading cycle."""
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state = _load_state()
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state["run_count"] = state.get("run_count", 0) + 1
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logger.info("=" * 60)
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logger.info("Trading cycle #%d at %s", state["run_count"], datetime.now().isoformat())
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# 1. Load portfolio state
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port = pf.load_positions()
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# 2. Fetch account status from exchange
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try:
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account_status = data_fetcher.fetch_account_status()
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port = pf.sync_with_exchange(port, account_status)
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logger.info(
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"Account: %.2f USDT total, %.2f USDT available",
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port.get("total_balance_usdt", 0),
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port.get("available_usdt", 0),
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)
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except Exception as e:
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logger.error("Failed to fetch account status: %s", e)
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if config.PAPER_TRADING and port.get("total_balance_usdt", 0) == 0:
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port["total_balance_usdt"] = 10000
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port["available_usdt"] = 10000
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logger.info("Paper trading: using default 10000 USDT balance")
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# 2a. Fetch initial capital from deposit history
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try:
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port["initial_capital"] = data_fetcher.fetch_total_deposits()
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except Exception as e:
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logger.warning("Failed to fetch deposit history: %s", e)
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# 2b. Sync stop-loss orders with exchange (real-time, not local memory)
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try:
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active_orders = data_fetcher.fetch_active_orders()
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except Exception as e:
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logger.error("Failed to fetch active orders: %s", e)
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active_orders = []
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# Build map: symbol → list of EXCHANGE STOP orders
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stop_orders_by_sym = {}
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for o in active_orders:
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if o.get("type") == "EXCHANGE STOP":
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stop_orders_by_sym.setdefault(o["symbol"], []).append(o)
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# Build map: currency → wallet balance (for accurate stop-loss amounts)
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wallet_balances = {}
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for w in account_status.get("wallets", []):
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if w.get("type") == "exchange":
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wallet_balances[w["currency"]] = w.get("balance", 0)
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# Load tracked stops early — needed for both stop sync and fill detection
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tracked_stops = _load_tracked_stops()
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for sym, pos in port.get("positions", {}).items():
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if pos.get("amount", 0) <= 0:
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continue
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entry = pos.get("entry_price", 0)
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if entry <= 0:
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continue
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# Use exchange wallet balance as the authoritative amount
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currency = sym[1:].replace(":UST", "").replace("UST", "")
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amount = wallet_balances.get(currency, 0)
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if amount <= 0:
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continue
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# Skip stop-loss for positions below exchange minimum order size
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min_amt = config.MIN_ORDER_AMOUNT.get(sym, 0)
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if min_amt > 0 and amount < min_amt:
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continue
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# Use stored stop price if available (preserves ATR-calculated value);
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# fall back to fixed % for legacy positions without a stored price
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tracked = tracked_stops.get(sym, {})
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expected_stop = tracked.get("stop_price") or round(entry * (1 - config.STOP_LOSS_PCT), 8)
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existing_stops = stop_orders_by_sym.get(sym, [])
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if existing_stops:
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# Check if existing stop matches expected amount & price
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stop = existing_stops[0]
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stop_amt_ok = abs(abs(stop["amount"]) - amount) / amount < 0.01 # 1% tolerance
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stop_px_ok = abs(stop["price"] - expected_stop) / expected_stop < 0.01
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if stop_amt_ok and stop_px_ok:
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# Ensure this stop is tracked for fill detection
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tracked_stops[sym] = {
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"order_id": stop["id"], "stop_price": stop["price"],
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"entry_price": entry, "amount": amount,
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}
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continue # Stop order is correct
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# Wrong amount or price — cancel all existing stops and re-place
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for s in existing_stops:
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trader.cancel_order(s["id"])
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logger.info("Cancelled outdated stop %s for %s (amt=%.6f, px=%.6g)",
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s["id"], sym, abs(s["amount"]), s["price"])
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tracked_stops.pop(sym, None)
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time.sleep(0.3) # Wait for Bitfinex to release locked balance
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logger.warning("Position %s missing/outdated stop-loss, placing now", sym)
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sl = trader.place_stop_loss_order(sym, amount, entry, stop_price=expected_stop)
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if sl:
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# Update stop_orders_by_sym so step 10 sees the correct stop ID
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stop_orders_by_sym[sym] = [{"id": sl["order_id"], "symbol": sym,
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"amount": -amount, "price": sl["stop_price"],
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"type": "EXCHANGE STOP"}]
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# Track for fill detection
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tracked_stops[sym] = {
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"order_id": sl["order_id"], "stop_price": sl["stop_price"],
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"entry_price": entry, "amount": amount,
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}
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pf.save_positions(port)
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logger.info("Stop-loss for %s: %.6f @ %.6g", sym, amount, sl["stop_price"])
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_save_tracked_stops(tracked_stops)
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# 3. Fetch market data
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try:
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market_data = data_fetcher.fetch_all_market_data()
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logger.info("Fetched market data for %d symbols", len(market_data))
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except Exception as e:
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logger.error("Failed to fetch market data: %s", e)
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slack_notifier.send_error_alert(f"Market data fetch failed: {e}")
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return
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# 4. Calculate indicators (5m)
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indicators_by_symbol = {}
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current_prices = {}
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for sym, md in market_data.items():
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candles_df = md.get("candles")
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if candles_df is not None and not candles_df.empty:
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ind_df = indicators.calculate_indicators(candles_df)
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indicators_by_symbol[sym] = ind_df
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ticker = md.get("ticker", {})
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if ticker:
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current_prices[sym] = ticker.get("last_price", 0)
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# 4b. Calculate HTF indicators (1h)
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htf_by_symbol = {}
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pivots_by_symbol = {}
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for sym, md in market_data.items():
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candles_htf = md.get("candles_htf")
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if candles_htf is not None and not candles_htf.empty:
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htf_by_symbol[sym] = indicators.calculate_htf_indicators(candles_htf)
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pivots_by_symbol[sym] = indicators.calculate_pivot_points(candles_htf)
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# 5. Cache data (persisted for next crontab run)
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try:
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data_fetcher.cache_market_data(market_data, indicators_by_symbol)
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except Exception as e:
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logger.warning("Cache write failed: %s", e)
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# --- Detect filled stop-loss orders ---
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sl_filled = []
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active_order_ids = {str(o["id"]) for o in active_orders}
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for sym, sinfo in list(tracked_stops.items()):
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if str(sinfo.get("order_id")) in active_order_ids:
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continue # still active, not filled
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# Stop order is gone — check if wallet balance is also gone (= filled, not cancelled by us)
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currency = sym[1:].replace(":UST", "").replace("UST", "")
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wallet_amt = wallet_balances.get(currency, 0)
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pos = port.get("positions", {}).get(sym, {})
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pos_amt = pos.get("amount", 0)
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# If wallet is empty or nearly empty but we had a position → stop was filled
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min_amt = config.MIN_ORDER_AMOUNT.get(sym, 0)
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if pos_amt > 0 and wallet_amt < max(min_amt, pos_amt * 0.05):
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stop_price = sinfo.get("stop_price", 0)
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entry_price = sinfo.get("entry_price", 0) or pos.get("entry_price", 0)
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amount = sinfo.get("amount", 0) or pos_amt
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amount_usdt = amount * stop_price if stop_price else 0
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realized_pnl = None
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realized_pnl_pct = None
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if entry_price and stop_price:
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realized_pnl = (stop_price - entry_price) * amount
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realized_pnl_pct = (stop_price - entry_price) / entry_price * 100
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sl_filled.append({
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"symbol": sym,
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"action": "SELL",
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"amount": amount,
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"price": stop_price,
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"amount_usdt": amount_usdt,
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"reason": "止損觸發",
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"confidence": 1.0,
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"mode": "live",
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"status": "filled",
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"is_stop_loss": True,
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"entry_price": entry_price,
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"realized_pnl": realized_pnl,
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"realized_pnl_pct": realized_pnl_pct,
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"stop_price": None,
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})
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# Update portfolio — position is closed
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port = pf.update_position(port, sym, "SELL", amount, stop_price, amount_usdt)
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pf.save_positions(port)
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trade_logger.log_trade(sl_filled[-1])
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logger.warning("Stop-loss FILLED for %s: %.6f @ %.6g, P&L: %.2f USDT (%.2f%%)",
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sym, amount, stop_price, realized_pnl or 0, realized_pnl_pct or 0)
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# Remove from tracked stops (filled or cancelled)
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del tracked_stops[sym]
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_save_tracked_stops(tracked_stops)
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# --- Collect cycle results ---
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tp_closed = [] # take-profit closures
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executed = sl_filled # start with filled stop-losses
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rejected = [] # signals rejected by risk manager
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# 6. Check take-profit on existing positions (stop-loss is handled by exchange stop orders)
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tp_signals = risk_manager.apply_stop_loss_take_profit(
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port.get("positions", {}), current_prices
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)
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for signal in tp_signals:
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sym = signal["symbol"]
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pos = port.get("positions", {}).get(sym, {})
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amount = pos.get("amount", 0)
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price = current_prices.get(sym, 0)
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if amount > 0 and price > 0:
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# Cancel exchange stop-loss orders before selling (from real-time data)
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for s in stop_orders_by_sym.get(sym, []):
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trader.cancel_order(s["id"])
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logger.info("Cancelled stop %s for %s before TP sell", s["id"], sym)
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tracked_stops.pop(sym, None)
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_save_tracked_stops(tracked_stops)
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# Use wallet balance as authoritative sell amount
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currency = sym[1:].replace(":UST", "").replace("UST", "")
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wallet_amt = wallet_balances.get(currency, 0)
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if wallet_amt > 0:
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amount = wallet_amt
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signal["sell_amount"] = amount
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signal["amount_usdt"] = amount * price
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# Capture cost basis before selling
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entry_price = pos.get("entry_price", 0)
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cost_basis = entry_price * amount if entry_price else 0
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result = trader.execute_trade(signal, current_prices)
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if result and result.get("status") in ("filled", "submitted"):
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sell_proceeds = amount * price
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realized_pnl = sell_proceeds - cost_basis if cost_basis else None
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realized_pnl_pct = ((price - entry_price) / entry_price * 100) if entry_price else None
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port = pf.update_position(port, sym, "SELL", amount, price, signal["amount_usdt"])
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pf.save_positions(port)
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trade_logger.log_trade(result)
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tp_closed.append({
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**signal,
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"amount_usdt": sell_proceeds,
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"entry_price": entry_price,
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"realized_pnl": realized_pnl,
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"realized_pnl_pct": realized_pnl_pct,
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})
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logger.info("Take profit executed: %s, P&L: %.2f USDT (%.2f%%)",
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sym, realized_pnl or 0, realized_pnl_pct or 0)
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# 7. Build indicator summary for LLM (5m + 1h context + pivots)
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indicator_summary = indicators.summarize_all(indicators_by_symbol)
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if htf_by_symbol:
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indicator_summary += "\n" + indicators.summarize_htf(htf_by_symbol)
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if pivots_by_symbol:
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indicator_summary += "\n" + indicators.summarize_pivots(pivots_by_symbol, current_prices)
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# 8. Build account status string for LLM
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account_str = _build_account_string(port, current_prices)
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# 9. Call LLM for analysis
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signals = []
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llm_ok = False
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try:
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signals = llm_analyzer.analyze_market(indicator_summary, account_str)
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llm_ok = True
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logger.info("LLM returned %d signals", len(signals))
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except Exception as e:
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logger.error("LLM analysis failed: %s", e)
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slack_notifier.send_error_alert(f"LLM analysis failed: {e}")
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# 10. Validate and execute trades
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for signal in signals:
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action = signal.get("action", "HOLD")
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if action == "HOLD":
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continue
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ind_df = indicators_by_symbol.get(signal.get("symbol"))
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validated, reject_reason = risk_manager.validate_trade(signal, port, ind_df, current_prices)
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if validated is None:
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logger.info("Signal rejected by risk manager: %s %s — %s", action, signal.get("symbol"), reject_reason)
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rejected.append({**signal, "reject_reason": reject_reason})
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continue
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sym = validated["symbol"]
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if action == "SELL":
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# Cancel exchange stop-loss orders BEFORE selling (free up locked balance)
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for s in stop_orders_by_sym.get(sym, []):
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trader.cancel_order(s["id"])
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logger.info("Cancelled stop %s for %s before sell", s["id"], sym)
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tracked_stops.pop(sym, None)
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_save_tracked_stops(tracked_stops)
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# Use wallet balance as authoritative sell amount
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currency = sym[1:].replace(":UST", "").replace("UST", "")
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wallet_amt = wallet_balances.get(currency, 0)
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if wallet_amt > 0:
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validated["sell_amount"] = wallet_amt
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result = trader.execute_trade(validated, current_prices)
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if result and result.get("status") == "failed":
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logger.warning("Order failed at exchange: %s %s — %s", action, validated["symbol"], result.get("error", ""))
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rejected.append({**validated, "reject_reason": f"交易所錯誤: {result.get('error', 'unknown')}"})
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# BUY failed at exchange — mark balance as unreliable to skip remaining BUYs
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if action == "BUY" and "not enough" in result.get("error", "").lower():
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port["available_usdt"] = 0
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logger.info("Marked available_usdt=0 to prevent further BUY attempts this cycle")
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continue
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if result and result.get("status") in ("filled", "submitted"):
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amount = result.get("amount", 0)
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price = result.get("price", 0)
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amount_usdt = result.get("amount_usdt", 0)
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# Calculate realized P&L for SELL trades
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realized_pnl = None
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realized_pnl_pct = None
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if action == "SELL":
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pos = port.get("positions", {}).get(sym, {})
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entry_price = pos.get("entry_price", 0)
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if entry_price:
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cost_basis = entry_price * amount
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realized_pnl = amount_usdt - cost_basis
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realized_pnl_pct = (price - entry_price) / entry_price * 100
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port = pf.update_position(port, sym, action, amount, price, amount_usdt)
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stop_price = None
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if action == "BUY":
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# Cancel existing exchange stop orders before placing new one
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pos = port.get("positions", {}).get(sym, {})
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cancelled_any = False
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for s in stop_orders_by_sym.get(sym, []):
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trader.cancel_order(s["id"])
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cancelled_any = True
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logger.info("Cancelled old stop %s for %s (position size changed)", s["id"], sym)
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if cancelled_any:
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time.sleep(1.0) # Wait for Bitfinex to release locked balance
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# Place new stop-loss for TOTAL position amount at new avg entry
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total_amount = pos.get("amount", amount)
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entry_price = pos.get("entry_price", price)
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# ATR-based dynamic stop price
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atr_stop = None
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ind_df = indicators_by_symbol.get(sym)
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if ind_df is not None and "atr" in ind_df.columns:
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atr_val = ind_df["atr"].dropna().iloc[-1] if not ind_df["atr"].dropna().empty else None
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if atr_val and atr_val > 0:
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atr_stop = _calc_atr_stop_price(entry_price, atr_val)
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atr_pct = (1 - atr_stop / entry_price) * 100
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logger.info("ATR stop for %s: ATR=%.6g, stop=%.6g (%.1f%%)",
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sym, atr_val, atr_stop, atr_pct)
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if atr_stop is None:
|
|
logger.info("ATR unavailable for %s, using fixed %.0f%% stop", sym, config.STOP_LOSS_PCT * 100)
|
|
|
|
sl = trader.place_stop_loss_order(sym, total_amount, entry_price, stop_price=atr_stop)
|
|
if sl is None and cancelled_any:
|
|
# Retry once — Bitfinex may need more time to release locked balance
|
|
time.sleep(2.0)
|
|
logger.info("Retrying stop-loss for %s after balance release delay", sym)
|
|
sl = trader.place_stop_loss_order(sym, total_amount, entry_price, stop_price=atr_stop)
|
|
if sl:
|
|
stop_price = sl["stop_price"]
|
|
# Update stop_orders_by_sym so subsequent actions in this cycle see it
|
|
stop_orders_by_sym[sym] = [{"id": sl["order_id"], "symbol": sym,
|
|
"amount": -total_amount, "price": stop_price,
|
|
"type": "EXCHANGE STOP"}]
|
|
# Track for fill detection
|
|
tracked_stops[sym] = {
|
|
"order_id": sl["order_id"], "stop_price": stop_price,
|
|
"entry_price": entry_price, "amount": total_amount,
|
|
}
|
|
_save_tracked_stops(tracked_stops)
|
|
logger.info("Stop-loss set for %s: %.6f @ %.6g", sym, total_amount, stop_price)
|
|
|
|
pf.save_positions(port)
|
|
trade_logger.log_trade(result)
|
|
executed.append({**result, "stop_price": stop_price,
|
|
"realized_pnl": realized_pnl, "realized_pnl_pct": realized_pnl_pct})
|
|
|
|
# 10b. Post-trade wallet refresh — ensure next trade uses latest balances
|
|
if executed or tp_closed:
|
|
try:
|
|
refreshed = data_fetcher.fetch_account_status()
|
|
port = pf.sync_with_exchange(port, refreshed)
|
|
# Rebuild wallet_balances for any remaining logic
|
|
wallet_balances = {}
|
|
for w in refreshed.get("wallets", []):
|
|
if w.get("type") == "exchange":
|
|
wallet_balances[w["currency"]] = w.get("balance", 0)
|
|
logger.info("Post-trade wallet refresh: %.2f USDT available", port.get("available_usdt", 0))
|
|
except Exception as e:
|
|
logger.warning("Post-trade wallet refresh failed: %s", e)
|
|
|
|
# 11. Send unified cycle report to Slack
|
|
portfolio_summary = _build_portfolio_one_liner(port, current_prices)
|
|
slack_notifier.send_cycle_report(
|
|
cycle_number=state["run_count"],
|
|
signals=signals,
|
|
executed=executed,
|
|
rejected=rejected,
|
|
tp_closed=tp_closed,
|
|
portfolio_summary=portfolio_summary,
|
|
llm_ok=llm_ok,
|
|
)
|
|
|
|
# 12. Save final state
|
|
pf.save_positions(port)
|
|
|
|
# 13. Hourly status report (check elapsed time across crontab runs)
|
|
now = time.time()
|
|
last_report = state.get("last_status_report", 0)
|
|
if now - last_report >= config.STATUS_REPORT_INTERVAL_MINUTES * 60:
|
|
summary = pf.get_portfolio_summary(port, current_prices)
|
|
slack_notifier.send_status_update(summary)
|
|
logger.info("Hourly status report sent")
|
|
state["last_status_report"] = now
|
|
|
|
state["last_run"] = now
|
|
_save_state(state)
|
|
logger.info("Cycle complete")
|
|
|
|
|
|
def _build_portfolio_one_liner(port: dict, current_prices: dict) -> str:
|
|
"""Build a one-line portfolio summary for the cycle report."""
|
|
available = port.get("available_usdt", 0)
|
|
positions = port.get("positions", {})
|
|
pos_count = 0
|
|
total_cost = 0.0
|
|
total_market_value = 0.0
|
|
for sym, pos in positions.items():
|
|
amount = pos.get("amount", 0)
|
|
entry = pos.get("entry_price", 0)
|
|
current = current_prices.get(sym, 0)
|
|
min_amt = config.MIN_ORDER_AMOUNT.get(sym, 0)
|
|
if amount > 0 and entry > 0 and amount >= min_amt:
|
|
pos_count += 1
|
|
total_cost += amount * entry
|
|
if current > 0:
|
|
total_market_value += amount * current
|
|
total_value = available + total_market_value
|
|
# 總收益率(基於入金)
|
|
initial_capital = port.get("initial_capital", 0)
|
|
total_return_pct = ((total_value / initial_capital - 1) * 100) if initial_capital > 0 else 0.0
|
|
# 變動收益率(基於持倉成本)
|
|
unrealized = total_market_value - total_cost
|
|
total_capital = available + total_cost
|
|
change_pct = ((total_value / total_capital - 1) * 100) if total_capital > 0 else 0.0
|
|
return (
|
|
f"總值 {total_value:.2f} USDT | 總收益 {total_return_pct:+.2f}% | "
|
|
f"變動 {change_pct:+.2f}% | {available:.2f} 可用 | 持倉 {pos_count} 筆"
|
|
)
|
|
|
|
|
|
def _build_account_string(port: dict, current_prices: dict) -> str:
|
|
"""Build a concise account status string for the LLM prompt."""
|
|
lines = []
|
|
lines.append(f"Total Balance: {port.get('total_balance_usdt', 0):.2f} USDT")
|
|
lines.append(f"Available: {port.get('available_usdt', 0):.2f} USDT")
|
|
|
|
positions = port.get("positions", {})
|
|
if positions:
|
|
lines.append("\nOpen Positions:")
|
|
for sym, pos in positions.items():
|
|
amount = pos.get("amount", 0)
|
|
entry = pos.get("entry_price", 0)
|
|
current = current_prices.get(sym, 0)
|
|
pnl_pct = ((current - entry) / entry * 100) if entry > 0 and current > 0 else 0
|
|
name = config.SYMBOL_NAMES.get(sym, sym)
|
|
lines.append(
|
|
f" {name}: {amount:.6f} @ {entry:.6g} "
|
|
f"(now {current:.6g}, {pnl_pct:+.2f}%)"
|
|
)
|
|
else:
|
|
lines.append("\nNo open positions.")
|
|
|
|
return "\n".join(lines)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
mode = "PAPER" if config.PAPER_TRADING else "LIVE"
|
|
logger.info("Running in %s mode, monitoring %d symbols", mode, len(config.TOP_15_SYMBOLS))
|
|
run_cycle()
|