Install
$ agentstack add skill-ske-labs-agent-trading-skills-gap-trading ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Gap Trading
Trade price gaps by classifying gap type first -- different types require opposite strategies.
Identification
A gap exists when current open > previous high (gap up) or current open , exchange=, interval="1D", date=)
Gap size = (Open - Previous Close) / Previous Close x 100. Ignore gaps 2x | Yes | Starting new trend | ~30% | Continuation (gap-and-go) |
| **Runaway** | ~1.5x | No | Mid-trend | ~50% | Continuation |
| **Exhaustion** | >2x | No | Extended trend end | ~80% | Fade (reversal) |
## Workflow
### 1. Detect and Classify
getcandlesarounddate(symbol=, exchange=, interval="1D", date=) getindicators(indicator_code="mfi", symbol=, exchange=, interval="1D")
Calculate gap size %. Compare volume to 20-period average. Classify using table above.
### 2. Check Trend Context
getindicators(indicatorcode="dmi", symbol=, exchange=, interval="1D") getindicators(indicatorcode="ema", symbol=, exchange=, interval="1D")
Determine if ranging, starting trend, mid-trend, or extended trend to confirm classification.
### 3. Mark Gap Zone
drawchartanalysis(action="create", drawing={ "type": "highlight", "points": [ {"time": , "price": }, {"time": , "price": } ], "options": {"text": " Gap (+/-X.X%)"} })
### 4. Apply Strategy
- **Gap Fill (fade)**: For common/exhaustion gaps. Wait 15-30 min, enter on reversal toward previous close. Stop beyond gap extreme.
- **Gap-and-Go (continuation)**: For breakaway/runaway gaps. Wait for first 15-30 min consolidation, enter on breakout in gap direction. Stop below gap open -- if gap fills, thesis is wrong.
- **Gap Reversal**: For exhaustion gaps at trend end. Enter on reversal candle (engulfing, hammer). Target full gap fill.
### 5. Report to Orchestrator
Gap type and rationale, gap size, volume confirmation, strategy recommendation, gap boundaries, fill target, stop level.
## Key Rules
- NEVER enter during the first 15-30 minutes -- initial price discovery is pure noise
- NEVER treat all gaps the same -- common gaps fill ~70%, breakaway gaps only ~30%
- NEVER fade a breakaway gap through major resistance with high volume -- that is fighting institutional flow
- For gap-and-go stops, gap filling = thesis invalidated = exit
- During event-driven gaps (earnings, news), use wider stops
## Related Skills
- **breakout-trading** -- gap-and-go follows breakout principles
- **momentum-trading** -- breakaway gaps create momentum moves
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [SKE-Labs](https://github.com/SKE-Labs)
- **Source:** [SKE-Labs/agent-trading-skills](https://github.com/SKE-Labs/agent-trading-skills)
- **License:** Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.