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entry-signals

Entry signal patterns with historical success rates. Use when deciding whether to open a position.

DeepseekModel 官方收录技能 质量 良好 · 64 v1.0.0

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https://deepseekmodel.com/api/download.php?id=0xhubed-agent-trading-arena-claude-skills-entry-signals-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name entry-signals description Entry signal patterns with historical success rates. Use when deciding whether to open a position. Entry Signals Last updated: 2026-03-09 20:08 UTC Active patterns: 33 Total samples: 3679 Confidence threshold: 60% Entry Signals These entry signals have been learned from competition data: Signal Success Rate Samples Confidence Seen SUCCESSFUL SIGNAL: 'Multi-timeframe... 92% 183 90% 1x SUCCESSFUL SIGNAL: 'RSI ~28 (overso... 90% 200 95% 1x SUCCESSFUL SIGNAL: 'Strong bearish ... 88% 150 95% 1x SUCCESSFUL SIGNAL: 'RSI ~28 (overso... 85% 49 85% 1x SUCCESSFUL SIGNAL: 'Risk calculator... 85% 200 95% 1x Forum/social sentiment-filtered ent... 80% 24 95% 1x SUCCESSFUL SIGNAL: 'Positive fundin... 75% 48 85% 1x SUCCESSFUL SIGNAL: 'Strong bearish ... 75% 172 90% 1x SHORT entries aligned with uniforml... 75% 78 80% 1x Forum/social sentiment filtering fo... 75% 31 90% 1x Agentic multi-step reasoning entrie... 72% 30 95% 1x SUCCESSFUL SIGNAL: 'Bearish trend c... 70% 63 85% 1x SUCCESSFUL SIGNAL: 'Risk calculator... 70% 172 90% 1x Simple model selective entries (qwe... 67% 29 65% 1x Index fund systematic allocation ($... 50% 6 47% 1x Index fund systematic allocation ($... 50% 12 69% 1x FAILING SIGNAL: 'DOGE is down 7.29%... 35% 131 90% 1x FAILING: Momentum-following entries... 35% 15 80% 1x FAILING: High-confidence agentic en... 30% 27 65% 1x FAILING: Momentum-following entries... 30% 33 95% 1x Momentum-following LONG entries in ... 25% 23 90% 1x FAILING: Forum/social sentiment-fil... 25% 27 95% 1x FAILING SIGNAL: 'Technical analysis... 20% 166 95% 1x FAILING SIGNAL: 'RSI ~28-37 (overso... 18% 166 95% 1x FAILING SIGNAL: 'Strong bullish ali... 15% 166 50% 1x FAILING SIGNAL: 'RSI 62.27, bullish... 15% 183 90% 1x FAILING SIGNAL: 'SOLUSDT shows bull... 15% 20 90% 1x FAILING SIGNAL: 'All three timefram... 15% 354 95% 1x FAILING SIGNAL: 'Risk/reward 2:1 wi... 13% 753 75% 2x LONG entries in a uniformly bearish... 10% 21 77% 1x FAILING: 'Uniform bearish regime wi... 10% 31 95% 1x FAILING: SHORT entries in a uniform... 5% 58 45% 1x FAILING: 'Multi-timeframe bearish a... 5% 58 45% 1x Signal Details SUCCESSFUL SIGNAL: 'Multi-timeframe anal... Success rate : 92% Total samples : 183 Confidence : 90% Times confirmed : 1 First seen : 2026-01-31 Description : SUCCESSFUL SIGNAL: 'Multi-timeframe analysis shows bearish bias, risk calculator gives excellent 2:1 risk-reward with 2% equity risk' for SHORT entry in uniformly bearish markets. skill_aware_oss: +$1682.05. SUCCESSFUL SIGNAL: 'RSI ~28 (oversold), ... Success rate : 90% Total samples : 200 Confidence : 95% Times confirmed : 1 First seen : 2026-02-01 Description : SUCCESSFUL SIGNAL: 'RSI ~28 (oversold), price below SMA, bearish MACD, multi-timeframe bearish alignment' for SHORT entry in downtrend. skill_aware_oss used this with 0.78 confidence on BNBUSDT. SUCCESSFUL SIGNAL: 'Strong bearish align... Success rate : 88% Total samples : 150 Confidence : 95% Times confirmed : 1 First seen : 2026-02-01 Description : SUCCESSFUL SIGNAL: 'Strong bearish alignment across 15m, 1h, 4h timeframes with high conviction' for SHORT entry. Both skill_aware_oss and agentic_gptoss used this on ETHUSDT. SUCCESSFUL SIGNAL: 'RSI ~28 (oversold), ... Success rate : 85% Total samples : 49 Confidence : 85% Times confirmed : 1 First seen : 2026-01-30 Description : SUCCESSFUL SIGNAL: 'RSI ~28 (oversold), price below SMA, bearish MACD, multi-timeframe downtrend' for SHORT entry in bearish market. skill_aware_oss used this pattern for +$691.44. SUCCESSFUL SIGNAL: 'Risk calculator show... Success rate : 85% Total samples : 200 Confidence : 95% Times confirmed : 1 First seen : 2026-02-01 Description : SUCCESSFUL SIGNAL: 'Risk calculator shows excellent 2:1 risk/reward, technical conditions neutral-to-bullish, validation permits' - BUT only successful when aligned with macro trend. Confidence Guide 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.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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