143 lines
5.2 KiB
Python
143 lines
5.2 KiB
Python
"""
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测试市场信号分析 - 验证趋势判断功能
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"""
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import asyncio
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import sys
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import os
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import json
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# 添加项目路径
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sys.path.insert(0, os.path.dirname(__file__))
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from app.crypto_agent.market_signal_analyzer import MarketSignalAnalyzer
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from app.utils.logger import logger
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from app.services.bitget_service import BitgetService
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async def test_trend_analysis(symbol: str = "BTCUSDT"):
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"""测试趋势分析"""
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logger.info("=" * 60)
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logger.info(f"开始测试市场信号分析: {symbol}")
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logger.info("=" * 60)
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# 1. 获取 K 线数据
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logger.info(f"\n[1/3] 获取 {symbol} 的 K 线数据...")
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bitget_service = BitgetService()
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data = bitget_service.get_multi_timeframe_data(symbol)
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if not data:
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logger.error(f"❌ 无法获取 {symbol} 的 K 线数据")
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return
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logger.info(f"✅ K 线数据获取成功")
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for tf, df in data.items():
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if df is not None and len(df) > 0:
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latest_price = float(df.iloc[-1]['close'])
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logger.info(f" {tf}: 最新价格 ${latest_price:,.2f}, 数据量 {len(df)} 条")
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# 2. 分析市场信号
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logger.info(f"\n[2/3] 分析市场信号...")
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analyzer = MarketSignalAnalyzer()
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result = await analyzer.analyze(symbol, data)
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# 3. 打印分析结果
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logger.info(f"\n[3/3] 分析结果:")
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logger.info("-" * 60)
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# 打印趋势判断（新功能）
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logger.info("\n📊 趋势判断（新增）:")
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logger.info(f" 趋势方向: {result.get('trend_direction', 'unknown')}")
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logger.info(f" 趋势强度: {result.get('trend_strength', 'unknown')}")
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# 打印市场状态
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logger.info(f"\n📈 市场状态:")
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logger.info(f" {result.get('market_state', 'unknown')}")
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logger.info(f" 分析摘要: {result.get('analysis_summary', 'unknown')}")
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logger.info(f" 量价分析: {result.get('volume_analysis', 'unknown')}")
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# 打印关键价位
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if result.get('key_levels'):
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logger.info(f"\n💰 关键价位:")
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levels = result['key_levels']
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if levels.get('support'):
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logger.info(f" 支撑位: {[f'${s:,.0f}' for s in levels['support'] if s]}")
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if levels.get('resistance'):
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logger.info(f" 阻力位: {[f'${r:,.0f}' for r in levels['resistance'] if r]}")
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# 打印信号
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logger.info(f"\n🎯 交易信号:")
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signals = result.get('signals', [])
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if not signals:
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logger.warning(" ⚠️ 无交易信号（观望）")
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else:
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for i, sig in enumerate(signals, 1):
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action_emoji = "🟢" if sig.get('action') == 'buy' else "🔴" if sig.get('action') == 'sell' else "⏪"
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grade_icon = {'A': '⭐⭐⭐', 'B': '⭐⭐', 'C': '⭐', 'D': ''}.get(sig.get('grade', ''), '')
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entry_type_emoji = "⚡现价" if sig.get('entry_type') == 'market' else "⏳挂单"
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logger.info(f"\n 信号 #{i} {action_emoji} {grade_icon}")
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logger.info(f" ├─ 类型: {sig.get('timeframe', 'unknown')} | {entry_type_emoji}")
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logger.info(f" ├─ 操作: {sig.get('action', 'unknown').upper()}")
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logger.info(f" ├─ 信心度: {sig.get('confidence', 0)}% | 等级: {sig.get('grade', 'unknown')}")
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logger.info(f" ├─ 入场价: ${sig.get('entry_zone', 0):,.2f}")
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logger.info(f" ├─ 止损: ${sig.get('stop_loss', 0):,.2f} | 止盈: ${sig.get('take_profit', 0):,.2f}")
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logger.info(f" └─ 理由: {sig.get('reasoning', 'unknown')}")
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# 检查是否顺势
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trend_dir = result.get('trend_direction', 'neutral')
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action = sig.get('action', '')
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if trend_dir == 'uptrend' and action == 'sell':
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logger.warning(f" ⚠️ 警告: 上升趋势中做空（逆势）")
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elif trend_dir == 'downtrend' and action == 'buy':
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logger.warning(f" ⚠️ 警告: 下降趋势中做多（逆势）")
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elif trend_dir == 'uptrend' and action == 'buy':
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logger.info(f" ✅ 顺势交易")
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elif trend_dir == 'downtrend' and action == 'sell':
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logger.info(f" ✅ 顺势交易")
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logger.info("\n" + "=" * 60)
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logger.info("测试完成")
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logger.info("=" * 60)
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return result
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async def test_multiple_symbols():
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"""测试多个交易对"""
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symbols = ['BTCUSDT', 'ETHUSDT', 'SOLUSDT']
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for symbol in symbols:
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logger.info(f"\n\n{'#' * 60}")
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logger.info(f"# 测试 {symbol}")
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logger.info(f"{'#' * 60}")
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try:
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await test_trend_analysis(symbol)
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except Exception as e:
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logger.error(f"❌ {symbol} 测试失败: {e}")
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import traceback
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traceback.print_exc()
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# 等待一段时间，避免 API 限流
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await asyncio.sleep(2)
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def main():
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import argparse
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parser = argparse.ArgumentParser(description='测试市场信号分析')
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parser.add_argument('--symbol', default='BTCUSDT', help='交易对（默认: BTCUSDT）')
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parser.add_argument('--multi', action='store_true', help='测试多个交易对')
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args = parser.parse_args()
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if args.multi:
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asyncio.run(test_multiple_symbols())
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else:
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asyncio.run(test_trend_analysis(args.symbol))
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if __name__ == '__main__':
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main()
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