Skip to main content
affpapa.org
RU EN
skill CX Codex

entry-signals — Claude Code skill: what it does, how to install

Provides historical win rates and sample counts for trade entry patterns. Helps agents evaluate setups before executing a market order.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add 0xhubed/agent-trading-arena --skill entry-signals -a claude-code
Open on GitHub

What entry-signals does

This skill supplies an agent with a catalog of 33 active trading patterns backed by 3679 market samples. The patterns were extracted from competition records by an automated Observer Agent, filtering signals through a 60% confidence threshold.

The database lists both profitable patterns and systematically failing signals. Successful setups include multi-timeframe bearish alignment with win rates up to 92%, while failing patterns highlight traps like momentum-following longs in downward trends.

A favourable 2:1 risk-reward ratio does not guarantee profitability: without alignment to the macro trend, this specific signal drops to a 13% success rate across 753 historical samples.

What it helps with

  • check historical win rates for trade setups before placing orders
  • filter out counter-trend momentum trades with low success rates
  • verify technical alignment across multiple timeframes like 15m, 1h, and 4h
  • classify trade confidence levels using historical sample benchmarks

Example prompts for the agent

  • Check entry-signals to see if a short position is viable when RSI is at 28 in a downtrend
  • Evaluate a 2:1 risk-reward setup against historical performance data
  • Review the success rate of multi-timeframe bearish alignment on ETHUSDT before opening a trade

How to install entry-signals

1Skills CLI (Vercel)

npx skills add 0xhubed/agent-trading-arena --skill entry-signals -a claude-code

2Manually: put the files in place

~/.claude/skills/entry-signals/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/entry-signals/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about entry-signals

How to install entry-signals in Claude Code?

Run npx skills add 0xhubed/agent-trading-arena --skill entry-signals -a claude-code. The file will be placed in ~/.claude/skills/entry-signals/SKILL.md.

What does entry-signals do?

It supplies historical performance metrics, sample sizes, and confidence scores for trade entry triggers. Agents check these patterns before entering long or short positions.

How does the skill interpret confidence scores?

Confidence of 90%+ indicates strong historical backing, 70% to 90% requires secondary confirmation, and 60% to 70% serves as a minor input. Anything below 60% is treated as experimental.

Source text

SKILL.md · MIT 
---
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.*

© 0xhubed · MIT · 0xhubed/agent-trading-arena

Similar skills

All skills for Finance and business →
churn-prevention coreyhaines31 A Claude Code skill for subscription churn: an exit survey at cancellation, an offer matched to the stated reason, and recovery of failed payments. CX Codex +1 121,600installs revops coreyhaines31 This skill helps design RevOps workflows for lead stages, scoring, routing, and marketing-to-sales handoffs. Use it when CRM processes need clear rules. CX Codex +1 114,000installs ads coreyhaines31 Guides paid advertising campaigns across Google Ads and Meta. It connects agents to rigorous playbooks and forbids guessing missing numbers. CX Codex +1 83,400installs pricing coreyhaines31 Turns the agent into a pricing advisor for SaaS: pick a value metric, structure tiers, audit the pricing page. Useful when you can't tell what to charge. CX Codex +1 79,900installs marketing-plan coreyhaines31 Generates an AARRR-structured 12-month marketing plan with an audit score and a 90-day roadmap. Outputs a single Markdown document ready for Notion. CX Codex +1 68,400installs humanizer blader Rewrites text that reads like a chatbot wrote it, keeping the meaning intact. Useful when editing posts, docs or commit messages. CX Codex +1 10,600installs

From the same set4

risk-management Provides risk management rules learned from 8500 competition trade outcomes. It guides agents when calculating position sizes and setting stop-losses. CX Codex +1 2,000installs trading-wisdom Supplies your coding agent with quantitative takeaways and risk rules recorded during the Agent Arena competition. Useful when setting up algorithmic trading logic. CX Codex +1 800installs market-regimes Guides trading agents to match strategy and trade frequency to market conditions. Useful when switching between trending and mixed crypto markets. CX Codex +1 638installs

Project sponsors

Companies that keep this analytics open
Gold sponsor
Nutra.Club

Impressions, clicks and code copies — open statistics. We keep the numbers public for the same reason NeBlask itself is public. Become a sponsor