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aaron
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@ -212,7 +212,7 @@ class CryptoAgent:
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- support_levels: 基于斐波那契回调的支撑位列表（标明各个支撑位对应的斐波那契水平，例如0.382、0.5、0.618等）
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- resistance_levels: 基于斐波那契回调的阻力位列表（同样标明对应水平）
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- volume_analysis: 交易量分析，重点关注量价关系
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- recommendation: 操作建议 (买入、卖出或等待)
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- recommendation: 操作建议 (做多、做空或观望)
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- entry_points: 推荐入场点位
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- exit_points: 推荐出场点位
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- stop_loss: 建议止损位
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@ -243,21 +243,21 @@ class CryptoAgent:
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"current_price": float(processed_data['close'].iloc[-1]),
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# "price_change_24h": float(processed_data['close'].iloc[-1] - processed_data['close'].iloc[-24]),
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# "price_change_percentage_24h": float((processed_data['close'].iloc[-1] - processed_data['close'].iloc[-24]) / processed_data['close'].iloc[-24] * 100),
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"historical_prices": processed_data['close'].tail(100).tolist(),
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"volumes": processed_data['volume'].tail(100).tolist(),
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"technical_indicators": {
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"rsi": float(processed_data['RSI'].iloc[-1]),
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"macd": float(processed_data['MACD'].iloc[-1]),
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"macd_signal": float(processed_data['MACD_Signal'].iloc[-1]),
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"bollinger_upper": float(processed_data['Bollinger_Upper'].iloc[-1]),
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"bollinger_lower": float(processed_data['Bollinger_Lower'].iloc[-1]),
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"ma5": float(processed_data['MA5'].iloc[-1]),
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"ma10": float(processed_data['MA10'].iloc[-1]),
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"ma20": float(processed_data['MA20'].iloc[-1]),
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"ma50": float(processed_data['MA50'].iloc[-1]),
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"atr": float(processed_data['ATR'].iloc[-1])
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},
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"klines": processed_data[['open', 'high', 'low', 'close', 'volume']].tail(100).to_dict('records')
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# "historical_prices": processed_data['close'].tail(100).tolist(),
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# "volumes": processed_data['volume'].tail(100).tolist(),
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# "technical_indicators": {
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# "rsi": float(processed_data['RSI'].iloc[-1]),
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# "macd": float(processed_data['MACD'].iloc[-1]),
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# "macd_signal": float(processed_data['MACD_Signal'].iloc[-1]),
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# "bollinger_upper": float(processed_data['Bollinger_Upper'].iloc[-1]),
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# "bollinger_lower": float(processed_data['Bollinger_Lower'].iloc[-1]),
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# "ma5": float(processed_data['MA5'].iloc[-1]),
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# "ma10": float(processed_data['MA10'].iloc[-1]),
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# "ma20": float(processed_data['MA20'].iloc[-1]),
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# "ma50": float(processed_data['MA50'].iloc[-1]),
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# "atr": float(processed_data['ATR'].iloc[-1])
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# },
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"klines": processed_data[['open', 'high', 'low', 'close', 'volume', 'RSI', 'MACD', 'MACD_Signal', 'Bollinger_Upper', 'Bollinger_Lower', 'MA5', 'MA10', 'MA20', 'MA50', 'ATR']].tail(100).to_dict('records')
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}
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# 将市场数据格式化为适合大模型的格式
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@ -374,17 +374,17 @@ class CryptoAgent:
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需要输出的内容包括：
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标题：AI Agent 加密货币分析报告
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1. 对目标交易对行情进行总结
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2. 对所有交易对给出操作建议：
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2.1 操作建议（做多、做空、观望）
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2.2 操作点位
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2.3 止损止盈点位
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2.4 操作评级
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2.5 建议原因
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1. 对交易对给出操作建议：
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1.1 操作方向（做多、做空、观望）
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1.2 操作价位
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1.3 止损止盈价位
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1.4 操作评级（1-5，1为最低紧迫性，5为最高紧迫性）
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1.5 建议原因
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2. 对市场行情进行一句话总结（基本面，技术面，市场情绪等），不超过50字
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以下是每个交易对的分析结果:
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{results}
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请以优美的Markdown格式输出，通过 emoji 标签来增加可读性。
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请以优美的Markdown格式输出，不要使用表格，通过 emoji 标签来增加可读性。
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"""
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system_prompt = """
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@ -34,7 +34,8 @@ crypto:
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- "ETH"
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- "SOL"
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- "SUI"
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- "XRP"
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- "DOGE"
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- "LTC"
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quote_currency: "USDT"
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time_interval: "4h" # 可选: 1m, 5m, 15m, 30m, 1h, 4h, 1d
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historical_days: 90
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@ -16,22 +16,18 @@ def run_monitor():
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try:
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print("☕️ 加密货币监控程序已启动")
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# 5分钟监控，交易量增长
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for time in [":00", ":05", ":10", ":15", ":20", ":25", ":30", ":35", ":40", ":45", ":50", ":55"]:
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schedule.every().hour.at(time).do(volume_growup_monitor.run, time_interval="5m")
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# # 5分钟监控，交易量增长
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# for time in [":00", ":05", ":10", ":15", ":20", ":25", ":30", ":35", ":40", ":45", ":50", ":55"]:
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# schedule.every().hour.at(time).do(volume_growup_monitor.run, time_interval="5m")
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# # 15分钟监控，技术指标
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# for time in [":00", ":15", ":30", ":45"]:
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# schedule.every().hour.at(time).do(technical_indicators_monitor.run, time_interval="15m")
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# # 每小时整点监控，技术指标
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# for time in ["00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", "07:00", "08:00", "09:00", "10:00", "11:00", "12:00", "13:00", "14:00", "15:00", "16:00", "17:00", "18:00", "19:00", "20:00", "21:00", "22:00", "23:00"]:
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# schedule.every().hour.at(time).do(technical_indicators_monitor.run, time_interval="1h")
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# 每小时整点监控，技术指标
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for time in ["00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", "07:00", "08:00", "09:00", "10:00", "11:00", "12:00", "13:00", "14:00", "15:00", "16:00", "17:00", "18:00", "19:00", "20:00", "21:00", "22:00", "23:00"]:
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schedule.every().day.at(time).do(technical_indicators_monitor.run, time_interval="1h")
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# 4小时监控，技术指标
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for time in ["00:00", "04:00", "08:00", "12:00", "16:00", "20:00"]:
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schedule.every().day.at(time).do(technical_indicators_monitor.run, time_interval="4h")
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# # 4小时监控，技术指标
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# for time in ["00:00", "04:00", "08:00", "12:00", "16:00", "20:00"]:
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# schedule.every().day.at(time).do(technical_indicators_monitor.run, time_interval="4h")
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while True:
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@ -55,7 +55,7 @@ class VolumeGrowupMonitor:
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# 计算交易金额
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current_amount = processed_data['close'].iloc[-2] * processed_data['volume'].iloc[-2]
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print(f"{symbol} 过去 30 根 K 线的平均交易量为 {average_volume:.2f}，当前交易量为 {processed_data['volume'].iloc[-1]:.2f}，增长率为 {volume_growth:.2%}")
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# print(f"{symbol} 过去 30 根 K 线的平均交易量为 {average_volume:.2f}，当前交易量为 {processed_data['volume'].iloc[-1]:.2f}，增长率为 {volume_growth:.2%}")
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# 如果增加 10倍以上，则发送消息
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if volume_growth >= 10 and current_amount > 1000000:
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@ -4,7 +4,7 @@ services:
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cryptoai:
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build: .
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container_name: cryptoai-task
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image: cryptoai:0.0.13
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image: cryptoai:0.0.14
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restart: always
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volumes:
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- ./cryptoai/data:/app/cryptoai/data
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