Includes: Bitfinex API integration, technical indicators, LLM signal generation, risk management, Slack notifications. Recent fixes: - SELL orders use position value instead of total balance - SELL signals always close full position - Failed orders added to rejected list for Slack reporting - Position/exposure limits auto-cap to remaining room - BUY order minimum raised to 10% of portfolio Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
283 lines
11 KiB
Python
283 lines
11 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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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 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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# 2b. Backfill missing stop-loss orders for existing positions
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for sym, pos in port.get("positions", {}).items():
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if pos.get("amount", 0) > 0 and not pos.get("stop_order_id"):
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entry = pos.get("entry_price", 0)
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amount = pos.get("amount", 0)
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if entry > 0 and amount > 0:
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logger.warning("Position %s missing stop-loss order, placing now", sym)
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sl = trader.place_stop_loss_order(sym, amount, entry)
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if sl:
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pos["stop_order_id"] = sl["order_id"]
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pos["stop_price"] = sl["stop_price"]
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pf.save_positions(port)
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logger.info("Backfill stop-loss for %s @ %.6g", sym, sl["stop_price"])
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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
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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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# 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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# --- Collect cycle results ---
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tp_closed = [] # take-profit closures
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executed = [] # successfully executed trades
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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 the exchange stop-loss order before selling
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stop_order_id = pos.get("stop_order_id")
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if stop_order_id:
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trader.cancel_order(stop_order_id)
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signal["amount_usdt"] = amount * price
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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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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({**signal, "amount_usdt": amount * price})
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logger.info("Take profit executed: %s", sym)
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# 7. Build indicator summary for LLM
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indicator_summary = indicators.summarize_all(indicators_by_symbol)
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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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try:
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signals = llm_analyzer.analyze_market(indicator_summary, account_str)
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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)
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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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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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continue
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if result and result.get("status") in ("filled", "submitted"):
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sym = validated["symbol"]
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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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if action == "SELL":
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# Cancel existing stop-loss order before selling
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pos = port.get("positions", {}).get(sym, {})
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stop_order_id = pos.get("stop_order_id")
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if stop_order_id:
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trader.cancel_order(stop_order_id)
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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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# Place exchange stop-loss order immediately after buy
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sl = trader.place_stop_loss_order(sym, amount, price)
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if sl:
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port.setdefault("positions", {}).setdefault(sym, {})["stop_order_id"] = sl["order_id"]
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port["positions"][sym]["stop_price"] = sl["stop_price"]
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stop_price = sl["stop_price"]
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logger.info("Stop-loss set for %s @ %.6g", sym, sl["stop_price"])
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pf.save_positions(port)
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trade_logger.log_trade(result)
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executed.append({**result, "stop_price": stop_price})
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# 11. Send unified cycle report to Slack
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portfolio_summary = _build_portfolio_one_liner(port, current_prices)
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slack_notifier.send_cycle_report(
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cycle_number=state["run_count"],
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signals=signals,
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executed=executed,
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rejected=rejected,
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tp_closed=tp_closed,
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portfolio_summary=portfolio_summary,
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)
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# 12. Save final state
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pf.save_positions(port)
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# 13. Hourly status report (check elapsed time across crontab runs)
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now = time.time()
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last_report = state.get("last_status_report", 0)
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if now - last_report >= config.STATUS_REPORT_INTERVAL_MINUTES * 60:
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summary = pf.get_portfolio_summary(port, current_prices)
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slack_notifier.send_status_update(summary)
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logger.info("Hourly status report sent")
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state["last_status_report"] = now
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state["last_run"] = now
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_save_state(state)
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logger.info("Cycle complete")
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def _build_portfolio_one_liner(port: dict, current_prices: dict) -> str:
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"""Build a one-line portfolio summary for the cycle report."""
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available = port.get("available_usdt", 0)
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positions = port.get("positions", {})
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pos_count = sum(1 for p in positions.values() if p.get("amount", 0) > 0)
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unrealized = 0.0
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for sym, pos in positions.items():
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amount = pos.get("amount", 0)
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entry = pos.get("entry_price", 0)
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current = current_prices.get(sym, 0)
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if amount > 0 and entry > 0 and current > 0:
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unrealized += amount * (current - entry)
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return f"{available:.2f} USDT 可用 | 持倉 {pos_count} 筆 | 未實現 {unrealized:+.2f} USDT"
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def _build_account_string(port: dict, current_prices: dict) -> str:
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"""Build a concise account status string for the LLM prompt."""
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lines = []
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lines.append(f"Total Balance: {port.get('total_balance_usdt', 0):.2f} USDT")
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lines.append(f"Available: {port.get('available_usdt', 0):.2f} USDT")
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positions = port.get("positions", {})
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if positions:
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lines.append("\nOpen Positions:")
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for sym, pos in positions.items():
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amount = pos.get("amount", 0)
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entry = pos.get("entry_price", 0)
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current = current_prices.get(sym, 0)
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pnl_pct = ((current - entry) / entry * 100) if entry > 0 and current > 0 else 0
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name = config.SYMBOL_NAMES.get(sym, sym)
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lines.append(
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f" {name}: {amount:.6f} @ {entry:.6g} "
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f"(now {current:.6g}, {pnl_pct:+.2f}%)"
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)
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else:
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lines.append("\nNo open positions.")
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return "\n".join(lines)
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if __name__ == "__main__":
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mode = "PAPER" if config.PAPER_TRADING else "LIVE"
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logger.info("Running in %s mode, monitoring %d symbols", mode, len(config.TOP_15_SYMBOLS))
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run_cycle()
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