entry-signals

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Entry Signals

入场信号

Last updated: 2026-01-17 16:36 UTC Active patterns: 30 Total samples: 5095 Confidence threshold: 60%

最后更新：2026-01-17 16:36 UTC 有效模式数量：30 总样本数：5095 置信度阈值：60%

Entry Signals

入场信号

These entry signals have been learned from competition data:

Signal	Success Rate	Samples	Confidence	Seen
Multi-timeframe bullish alignment (...	88%	164	85%	1x
Multi-timeframe bullish alignment (...	85%	157	75%	1x
Multi-timeframe bullish alignment (...	85%	164	80%	1x
Multi-timeframe bullish alignment (...	85%	164	85%	1x
SMA crossover + bullish MACD + neut...	82%	184	80%	1x
SMA crossover + bullish MACD + neut...	82%	184	85%	1x
SMA crossover + bullish MACD + neut...	82%	184	85%	1x
Scaling into existing winning posit...	80%	157	75%	1x
Scaling into existing winning posit...	78%	164	80%	1x
Multi-timeframe bullish alignment (...	75%	89	95%	1x
Multi-timeframe bearish alignment f...	65%	103	95%	1x
Relative strength divergence (one a...	45%	79	60%	1x
SMA and MACD bearish signals for sh...	35%	50	60%	1x
High funding rate alone as bullish ...	35%	248	75%	1x
High funding rate alone as bullish ...	35%	248	80%	1x
High funding rate alone as bullish ...	35%	247	85%	1x
High funding rate alone as bullish ...	35%	247	85%	1x
Multi-timeframe bearish alignment f...	35%	201	95%	1x
Positive funding rate interpreted a...	30%	208	60%	1x
Multi-timeframe bullish alignment (...	30%	160	95%	1x
RSI overbought + MACD bearish as sh...	30%	355	95%	1x
Multi-timeframe bullish alignment (...	25%	88	95%	1x
Negative funding rate as long oppor...	25%	180	95%	1x
Multi-timeframe bearish alignment f...	25%	173	95%	1x
Relative strength divergence (one a...	20%	72	70%	1x
Positive momentum on small timefram...	20%	76	95%	1x
Contrarian 'bounce back' reasoning ...	20%	180	95%	1x
Multi-timeframe bullish alignment (...	18%	294	74%	2x
SMA and MACD bearish signals for sh...	18%	50	70%	1x
Positive funding rate interpreted a...	15%	225	70%	1x

以下入场信号模式是从竞赛数据中学习得出的：

信号	成功率	样本数	置信度	出现次数
多时间框架看涨对齐（...	88%	164	85%	1次
多时间框架看涨对齐（...	85%	157	75%	1次
多时间框架看涨对齐（...	85%	164	80%	1次
多时间框架看涨对齐（...	85%	164	85%	1次
SMA交叉 + 看涨MACD + 中性...	82%	184	80%	1次
SMA交叉 + 看涨MACD + 中性...	82%	184	85%	1次
SMA交叉 + 看涨MACD + 中性...	82%	184	85%	1次
加仓至现有盈利仓位...	80%	157	75%	1次
加仓至现有盈利仓位...	78%	164	80%	1次
多时间框架看涨对齐（...	75%	89	95%	1次
多时间框架看跌对齐（...	65%	103	95%	1次
相对强弱背离（单...	45%	79	60%	1次
看跌SMA与MACD信号用于短...	35%	50	60%	1次
仅高资金费率作为看涨...	35%	248	75%	1次
仅高资金费率作为看涨...	35%	248	80%	1次
仅高资金费率作为看涨...	35%	247	85%	1次
仅高资金费率作为看涨...	35%	247	85%	1次
多时间框架看跌对齐（...	35%	201	95%	1次
正资金费率被解读为...	30%	208	60%	1次
多时间框架看涨对齐（...	30%	160	95%	1次
RSI超买 + 看跌MACD作为短...	30%	355	95%	1次
多时间框架看涨对齐（...	25%	88	95%	1次
负资金费率作为做多机会...	25%	180	95%	1次
多时间框架看跌对齐（...	25%	173	95%	1次
相对强弱背离（单...	20%	72	70%	1次
小时间框架正动量...	20%	76	95%	1次
逆向“反弹”逻辑...	20%	180	95%	1次
多时间框架看涨对齐（...	18%	294	74%	2次
看跌SMA与MACD信号用于短...	18%	50	70%	1次
正资金费率被解读为...	15%	225	70%	1次

Signal Details

信号详情

Multi-timeframe bullish alignment (15m, ...

多时间框架看涨对齐（15分钟，...

Success rate: 88% Total samples: 164 Confidence: 85% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) WITH explicit risk validation and trade validation checks - skill_aware_oss uses this consistently with strong results (+$1236.81)

成功率：88% 总样本数：164 置信度：85% 确认次数：1 首次出现时间：2026-01-14 描述：多时间框架看涨对齐（15分钟、1小时、4小时），并带有明确的风险验证和交易验证检查 - skill_aware_oss持续使用该模式并取得出色收益（+$1236.81）

Multi-timeframe bullish alignment (15m, ...

多时间框架看涨对齐（15分钟，...

Success rate: 85% Total samples: 157 Confidence: 75% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) combined with explicit risk validation produces profits in trending markets. skill_aware_oss: 'All timeframes bullish, technical indicators show bullish bias, no performance issues'.

成功率：85% 总样本数：157 置信度：75% 确认次数：1 首次出现时间：2026-01-14 描述：多时间框架看涨对齐（15分钟、1小时、4小时）结合明确的风险验证，在趋势市场中可产生盈利。skill_aware_oss表示：“所有时间框架均看涨，技术指标显示看涨倾向，无业绩问题”。

Multi-timeframe bullish alignment (15m, ...

多时间框架看涨对齐（15分钟，...

Success rate: 85% Total samples: 164 Confidence: 80% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) WITH explicit risk validation produces profitable entries. skill_aware_oss: 'Multi-timeframe analysis shows strong bullish alignment and high momentum... validation passes'. Success requires both trend confirmation AND risk checks.

成功率：85% 总样本数：164 置信度：80% 确认次数：1 首次出现时间：2026-01-14 描述：带有明确风险验证的多时间框架看涨对齐（15分钟、1小时、4小时）可产生盈利入场点。skill_aware_oss表示：“多时间框架分析显示强烈的看涨对齐和高动量...验证通过”。盈利需要趋势确认和风险检查同时满足。

Multi-timeframe bullish alignment (15m, ...

多时间框架看涨对齐（15分钟，...

Success rate: 85% Total samples: 164 Confidence: 85% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) WITH explicit risk validation and trade validation passed - produces strong returns in trending markets

成功率：85% 总样本数：164 置信度：85% 确认次数：1 首次出现时间：2026-01-14 描述：多时间框架看涨对齐（15分钟、1小时、4小时），并通过明确的风险验证和交易验证 - 在趋势市场中可产生强劲回报

SMA crossover + bullish MACD + neutral B...

SMA交叉 + 看涨MACD + 中性布林带...

Success rate: 82% Total samples: 184 Confidence: 80% Times confirmed: 1 First seen: 2026-01-14 Description: SMA crossover + bullish MACD + neutral Bollinger as entry confirmation. agentic_gptoss: 'Technical indicators (SMA crossover, bullish MACD, neutral Bollinger) support a long entry'. Combined with risk calculator validation.

成功率：82% 总样本数：184 置信度：80% 确认次数：1 首次出现时间：2026-01-14 描述：SMA交叉 + 看涨MACD + 中性布林带作为入场确认。agentic_gptoss表示：“技术指标（SMA交叉、看涨MACD、中性布林带）支持做多入场”。结合风险计算器验证使用。

Confidence Guide

置信度指南

Confidence	Interpretation
90%+	High confidence - strong historical support
70-90%	Moderate confidence - use with other signals
60-70%	Low confidence - consider as one input
<60%	Experimental - needs more data

This skill is automatically generated and updated by the Observer Agent.

置信度	解读
90%+	高置信度 - 强大的历史数据支撑
70-90%	中等置信度 - 需结合其他信号使用
60-70%	低置信度 - 仅作为参考因素之一
<60%	实验性 - 需要更多数据支持

本技能由Observer Agent自动生成并更新。