analyzing-lock-up-period-dynamics
Evaluates lock-up expiration impact with float analysis, insider selling patterns, and supply overhang assessment. Use when analyzing lock-up expirations, modeling supply dynamics, or assessing post-IPO trading patterns.
Best use case
analyzing-lock-up-period-dynamics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Evaluates lock-up expiration impact with float analysis, insider selling patterns, and supply overhang assessment. Use when analyzing lock-up expirations, modeling supply dynamics, or assessing post-IPO trading patterns.
Teams using analyzing-lock-up-period-dynamics should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-lock-up-period-dynamics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-lock-up-period-dynamics Compares
| Feature / Agent | analyzing-lock-up-period-dynamics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Evaluates lock-up expiration impact with float analysis, insider selling patterns, and supply overhang assessment. Use when analyzing lock-up expirations, modeling supply dynamics, or assessing post-IPO trading patterns.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Analyzing Lock Up Period Dynamics Evaluates lock-up expiration impact with float analysis, insider selling patterns, and supply overhang assessment. ## When To Use - Approaching lock-up expiration on a recently completed IPO (typically 90–180 days post-pricing) - Evaluating whether to pursue an early lock-up release for a secondary offering - Advising issuer management or board on insider selling strategy around expiration - Modeling supply overhang for institutional investors sizing post-lock-up positions - Assessing staggered or partial lock-up structures with multiple expiration tranches ## Inputs To Gather - **Share structure**: Total shares outstanding, IPO shares sold (primary + secondary), greenshoe allocation and exercise status - **Lock-up schedule**: Expiration date(s), any staggered tranches, early release provisions, waiver history by the lead underwriter - **Locked share breakdown by holder type**: Founder/management shares, pre-IPO investor shares (by fund vintage and hold period), employee/option shares (vested vs. unvested at expiration), directed share program (DSP) allocations - **Current float data**: Public float shares, average daily trading volume (ADTV) over 30/60/90 days, short interest and days-to-cover - **Price and performance context**: Current price vs. IPO price, 52-week range, sector index performance since IPO - **Comparable precedents**: Lock-up expiration trading patterns for sector peers and same-vintage IPOs - **Known disposition signals**: 10b5-1 plan filings, Form 144 filings, any Rule 701 or Reg S considerations [VERIFY jurisdiction-specific registration exemptions] ## Workflow 1. **Map the lock-up structure** - Identify all expiration dates and the share count unlocking at each tranche - Classify locked shares by holder type (founders, VCs/PEs, employees, other insiders) - Flag any early-release triggers (e.g., price-based thresholds, underwriter discretion windows) - Note any contractual selling restrictions that survive lock-up expiration (e.g., volume limitations, blackout windows) 2. **Calculate supply overhang ratios** - Unlocking shares as a multiple of current public float (overhang ratio) - Unlocking shares as a multiple of trailing 30-day ADTV (days-to-clear ratio) - Segment overhang by holder type — VC/PE funds near end-of-life or past target hold periods have higher selling probability than founders 3. **Assess selling probability by holder cohort** - **Pre-IPO investors**: Check fund vintage, fund life remaining, DPI (distributions to paid-in) pressure, prior portfolio company selling patterns - **Founders/management**: Evaluate diversification needs, pledged-share exposure, any 10b5-1 plans already filed, compensation structure dependency on equity - **Employees**: Estimate option exercise economics (strike price vs. current price), tax-lot timing for long-term capital gains eligibility, prior employee selling in comparable IPOs - Assign qualitative selling probability (high / moderate / low) to each cohort 4. **Model potential selling volume scenarios** - **Base case**: Historical average insider sell-through rate for sector (typically 10–20% of unlocked shares in first 30 days) [VERIFY against current market conditions] - **Bear case**: Elevated selling — apply higher sell-through rate reflecting fund liquidation pressure or price decline below IPO - **Bull case**: Minimal selling — strong price performance discourages near-term disposition - Express each scenario as daily selling volume relative to ADTV 5. **Analyze historical precedents** - Pull trading data for 5–10 comparable lock-up expirations (same sector, similar float/overhang profile) - Measure price action windows: T-10 to T+30 relative to expiration date - Identify average drawdown at expiration, recovery period, and volume spike patterns - Note outliers and the drivers behind them (e.g., concurrent earnings, analyst initiation, secondary offering announced pre-expiration) 6. **Evaluate structural mitigants** - Is the underwriter likely to offer an organized secondary or block trade to manage supply? - Has the company signaled a buyback authorization? - Are there any contractual orderly-marketing arrangements? - Is short interest elevated enough that covering could absorb incremental supply? 7. **Synthesize findings and frame recommendations** - Summarize net supply impact with scenario-weighted expected selling volume - Identify the highest-risk expiration tranche and most likely large sellers - For issuer-side advisory: recommend communication strategy, potential early-release secondary, or blackout period guidance - For buy-side analysis: frame entry-point thesis around expected post-expiration price recovery ## Output Deliver a structured Lock-Up Expiration Analysis Report containing: - **Executive summary**: Key expiration date(s), total shares unlocking, overhang ratio, and headline selling probability assessment - **Share structure table**: Breakdown of locked shares by holder type, tranche, and expiration date - **Supply overhang metrics**: Overhang ratio, days-to-clear, and selling probability by cohort - **Scenario analysis table**: Base / bear / bull selling volumes with price impact estimates - **Precedent comparison**: Summary table of comparable lock-up expirations with price/volume outcomes - **Risk factors and mitigants**: Structural features that amplify or dampen expiration impact - **Recommendations**: Actionable next steps tailored to the client's position (issuer, underwriter, or investor) ## Quality Checks - Confirm total locked shares reconcile to prospectus/S-1 share tables and any subsequent Form 3/4 filings - Verify expiration date calculation accounts for weekends, holidays, and any contractual "next business day" language - Cross-check ADTV figures against multiple data sources (Bloomberg, exchange data) to avoid stale or adjusted numbers - Ensure selling probability assumptions are supported by observable data (fund filings, 13F changes, Form 144s) — not speculation - Validate precedent comparables are genuinely comparable (similar sector, float size, market regime) rather than cherry-picked - Confirm all per-share and percentage calculations use the correct denominator (shares outstanding vs. float vs. locked shares) - Mark any jurisdiction-specific regulatory constraints with [VERIFY] (e.g., Rule 144 volume limits, non-US lock-up regimes)