Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mphinance/alpha-skills --skill momentum-squeezegit clone --depth 1 https://github.com/mphinance/alpha-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mphinance/alpha-skills/momentum-squeeze)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/momentum-squeeze"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/momentum-squeeze/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mphinance/alpha-skills/momentum-squeeze"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/momentum-squeeze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.00817 |
| Opus 5.5 | $0.00033 | $0.00327 |
| Sonnet 5.5 | $0.00017 | $0.00163 |
| Haiku 4.5 | $0.00008 | $0.00082 |
Grade A, and why
momentum-squeeze scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Momentum & Squeeze Strategy
Two complementary strategies that capture different phases of a stock's momentum cycle. A name typically rotates: Squeeze → breakout → Momentum pullback → trend exhaustion → re-coil → Squeeze again.
1. Volatility Squeeze ("The Snap") — pre-breakout
Find stocks quietly coiling, ready to explode.
| Condition | Meaning |
|---|---|
SqueezeRatio < 1.0 |
Daily ATR compressed vs weekly ATR |
SqueezeRatio < 0.7 |
Extremely tight — maximum coil |
| EMA stack aligned | 8 > 21 > 34 > 55 > 89 (bullish bias) |
| Not at 52wk high | Avoid flatlined M&A targets |
| Rel Volume ≥ 1.3x | Starting to wake up |
SqueezeRatio = ATR(14) / (ATR_Weekly / 2)
< 0.70 → 🔋 Tight squeeze (ready to snap)
< 0.85 → ⚡ Moderate
< 1.00 → 📊 Light compression
> 1.00 → ❌ Expanded (not squeezed)
Entry signals: Volume Spark (1.5x+), Deep Coil (ADX < 15), Price at EMA.
Thesis: "Gone quiet. Daily volatility compressed against the weekly baseline. EMAs bullishly stacked. Volume picking up. Ready to snap."
2. Momentum with Pullback — mid-trend
Find confirmed uptrends that pulled back to a buyable entry. Requires triple timeframe EMA alignment (8 > 21 > 34 > 55 > 89 on Daily AND Weekly AND Monthly = confirmed mega-trend).
| Pullback filter | Purpose |
|---|---|
| SMA50 > EMA200 (D/W/M) | Uptrend on all timeframes |
| Stochastic < 40 | Oscillator oversold (the dip) |
| Within 1 ATR of EMA21 | Not overextended |
| ADX 20–40 | Trending but not exhausted |
Thesis: "Powerful multi-timeframe uptrend, just pulled back to the 21 EMA, stochastic oversold. Perfect dip buy."
Comparison
| Aspect | Squeeze | Momentum Pullback |
|---|---|---|
| Stage | Pre-breakout | Mid-trend |
| Volatility | Compressed | Normal/Expanded |
| Stochastic | Any | < 40 |
| Risk / Reward | Higher / Higher | Lower / Moderate |
| Timeframe | Daily only | Daily + Weekly + Monthly |
Weekly workflow
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 81 lines · 83 tokens per session scan A 90233535ee35
momentum-squeeze is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It adds 83 tokens to every session and 817 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-14.
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