跳到正文
cccskills
免费在 GitHub 公开

token-unlock-treasury

Analyze scheduled token releases, their recipients, and trading volume to estimate potential selling pressure. Review project treasury holdings, operating runway, and token supply growth to assess funding sustainability and the effect of dilution on staking yields.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Token unlock schedule analysis and project treasury tracking — vesting cliffs, linear unlocks, team/investor/ecosystem token releases, treasury diversification, and sell pressure forecasting.

实测评分 未实测

查看安装方法

适用场景

  • Reviewing token releases scheduled for the next 90 days
  • Estimating selling pressure relative to trading volume
  • Assessing treasury diversification and funding runway
  • Comparing staking yields with token supply inflation

包含的文件(1)

  • SKILL.md11.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Token Unlock & Treasury Analysis

Overview

Track token vesting schedules, upcoming unlock events, and project treasury holdings to forecast sell pressure and assess project sustainability. Token unlocks are one of the most predictable and high-impact supply-side events in crypto — large unlocks consistently create short-term selling pressure.

Core Concepts

1. Token Distribution Taxonomy

Standard allocation categories:

CategoryTypical %Lock PeriodVestingSell Pressure Risk
Team / Founders15-25%12-24 months cliff2-4 year linearHigh (sell to fund lifestyle / diversify)
Investors (Seed)5-15%6-12 months cliff1-2 year linearVery high (VC fund lifecycle: must return capital)
Investors (Series A+)10-20%6-12 months cliff1-2 year linearVery high
Ecosystem / Community20-40%VariableOngoing emissionsMedium (depends on incentive design)
Treasury / Foundation10-20%None (discretionary)DAO-governedLow-medium (depends on governance)
Public Sale / Airdrop5-15%NoneImmediately liquidInitial dump, then stabilizes
Advisors2-5%6-12 months cliff1-2 year linearMedium

2. Unlock Event Types

Cliff unlock:

  • Large one-time release after lock period expires
  • Most impactful: 5-30% of supply unlocking in a single event
  • Typical impact: -5% to -20% price decline in the 7 days around a cliff unlock

Linear / continuous unlock:

  • Steady stream of tokens released over time (daily/weekly/monthly)
  • Creates persistent but predictable sell pressure
  • Impact depends on rate relative to trading volume

Milestone-based unlock:

  • Triggered by protocol metrics (TVL target, user count, etc.)
  • Less predictable but usually positive signal (means protocol is growing)

3. Unlock Impact Assessment

def assess_unlock_impact(unlock_amount, circulating_supply, daily_volume, recipient_type):
    """
    Assess the market impact of an upcoming token unlock.
    """
    # Unlock as % of circulating supply
    supply_pct = unlock_amount / circulating_supply * 100

    # Unlock as multiple of daily volume
    volume_multiple = unlock_amount / daily_volume

    # Base impact score
    if supply_pct > 10:
        base_impact = "critical"      # >10% of supply = very high impact
    elif supply_pct > 5:
        base_impact = "high"
    elif supply_pct > 2:
        base_impact = "medium"
    elif supply_pct > 0.5:
        base_impact = "low"
    else:
        base_impact = "negligible"

    # Adjust for recipient type (who receives the tokens)
    recipient_multiplier = {
        "team": 0.7,         # Team sells ~70% within 6 months historically
        "investor_seed": 0.8, # VCs must return capital, sell aggressively
        "investor_later": 0.6,
        "ecosystem": 0.3,    # Ecosystem tokens often re-staked or used
        "treasury": 0.2,     # Treasury rarely dumps (governance constraints)
        "community": 0.5,    # Mixed behavior
    }

    effective_sell_pressure = supply_pct * recipient_multiplier.get(recipient_type, 0.5)

    # Volume absorption capacity
    if volume_multiple > 5:
        absorption = "illiquid"       # Market cannot absorb easily
    elif volume_multiple > 2:
        absorption = "difficult"
    elif volume_multiple > 0.5:
        absorption = "manageable"
    else:
        absorption = "easily_absorbed"

    return {
        "supply_impact_pct": supply_pct,
        "base_impact": base_impact,
        "effective_sell_pct": effective_sell_pressure,
        "volume_absorption": absorption,
    }

4. Historical Unlock Price Patterns

Empirical observations (2021-2025 data):

Unlock Size (% of circ.)Pre-unlock (7d)Post-unlock (7d)Post-unlock (30d)
>10%-8 to -15%-5 to -20%-10 to -30% (often no recovery)
5-10%-3 to -8%-3 to -10%Mixed (depends on market regime)
2-5%-1 to -5%-2 to -5%Usually recovers within 30d
<2%Minimal-1 to -3%Negligible long-term impact

Key patterns:

  1. Pre-unlock front-running: market starts selling 3-7 days before known unlock dates
  2. Post-unlock recovery: if broader market is bullish, 2-5% unlocks often fully recover within 2-4 weeks
  3. Continuous unlock drag: tokens with >5% monthly emission rate tend to underperform BTC by 10-20% annualized
  4. Cliff + bear market = disaster: large cliff unlocks during bear markets create cascading selling

5. Treasury Health Analysis

Treasury assessment framework:

treasury_health = {
    "total_value_usd": 500_000_000,       # Total treasury value
    "runway_months": 36,                   # Treasury / monthly burn
    "diversification": {
        "native_token_pct": 60,            # % held in own token (risky)
        "stablecoins_pct": 25,             # USDC/USDT/DAI (safe)
        "eth_btc_pct": 10,                 # Blue-chip crypto
        "other_pct": 5,                    # Other assets
    },
    "monthly_burn_usd": 5_000_000,         # Operating expenses per month
    "revenue_coverage": 0.6,               # Revenue / burn ratio
}

def treasury_signal(health):
    # Runway assessment
    if health["runway_months"] < 12:
        runway_signal = "critical"         # Less than 1 year of funding
    elif health["runway_months"] < 24:
        runway_signal = "concerning"
    else:
        runway_signal = "healthy"

    # Diversification assessment
    native_pct = health["diversification"]["native_token_pct"]
    if native_pct > 80:
        diversity_signal = "concentrated_risk"  # Treasury value crashes with token price
    elif native_pct > 50:
        diversity_signal = "moderate_risk"
    else:
        diversity_signal = "diversified"        # Healthy treasury management

    # Revenue sustainability
    if health["revenue_coverage"] > 1.0:
        revenue_signal = "self_sustaining"      # Revenue covers all expenses
    elif health["revenue_coverage"] > 0.5:
        revenue_signal = "partially_funded"
    else:
        revenue_signal = "treasury_dependent"   # Fully reliant on treasury

    return runway_signal, diversity_signal, revenue_signal

Red flags in treasury management:

  1. Treasury >80% in native token → death spiral risk (token drops → treasury drops → must sell more)
  2. Runway < 12 months → protocol may cut development or do emergency token sale
  3. Large OTC sales by treasury → dilution signal (often sold at 20-30% discount)
  4. Treasury spending on non-core activities (acquisitions, marketing burns) → poor capital allocation
  5. No revenue or declining revenue → unsustainable token emissions subsidizing usage

6. Emission Rate Analysis

def emission_analysis(token):
    """Analyze ongoing token emission sustainability."""
    # Monthly emission rate
    monthly_new_tokens = token.monthly_unlock + token.staking_rewards + token.mining_rewards
    monthly_emission_pct = monthly_new_tokens / token.circulating_supply * 100

    # Inflation-adjusted real yield
    staking_yield_nominal = token.staking_apy
    inflation_rate = monthly_emission_pct * 12  # Annualized
    real_yield = staking_yield_nominal - inflation_rate

    # Assessment
    if monthly_emission_pct > 5:
        emission_verdict = "hyperinflation"    # Unsustainable
    elif monthly_emission_pct > 2:
        emission_verdict = "high_inflation"    # Significant dilution
    elif monthly_emission_pct > 0.5:
        emission_verdict = "moderate"          # Manageable
    else:
        emission_verdict = "low_emission"      # Minimal dilution

    if real_yield < 0:
        yield_verdict = "negative_real_yield"  # Staking rewards < inflation = value destruction
    else:
        yield_verdict = "positive_real_yield"

    return emission_verdict, yield_verdict, real_yield

7. Major Protocol Unlock Calendars

Tier 1 protocols to track:

ProtocolTokenKey Unlock EventsData Source
SolanaSOLFoundation + early investor unlocksToken Unlocks
AptosAPTMonthly investor/team unlocksToken Unlocks
ArbitrumARBMassive team + investor cliff (Mar 2025)Token Unlocks
SuiSUIInvestor and contributor unlocksToken Unlocks
CelestiaTIAInvestor cliff unlockToken Unlocks
StarknetSTRKLarge early investor vestingToken Unlocks
OptimismOPOngoing core contributor vestingToken Unlocks
dYdXDYDXTrading rewards + team vestingToken Unlocks

Data sources:

  • tokenunlocks.app — most comprehensive unlock calendar
  • messari.io/asset/{token}/profile — tokenomics breakdown
  • Protocol governance forums — treasury proposals and spending

Output Format

## Token Unlock & Treasury Analysis — [Protocol/Token]

### Tokenomics Overview
- **Total supply**: X,XXX,XXX,XXX
- **Circulating supply**: X,XXX,XXX,XXX (X% of total)
- **Fully diluted valuation (FDV)**: $X.XB
- **Market cap / FDV ratio**: X.X% (lower = more future dilution)

### Upcoming Unlocks (next 90 days)
| Date | Amount | % of Circ. | Recipient | Impact |
|------|--------|-----------|-----------|--------|
| YYYY-MM-DD | X,XXX,XXX | X.X% | Team | High |
| YYYY-MM-DD | X,XXX,XXX | X.X% | Investor | Medium |

### Emission Rate
- **Monthly new supply**: X.X% of circulating
- **Annualized inflation**: X.X%
- **Staking nominal yield**: X.X%
- **Real yield (yield - inflation)**: X.X%
- **Verdict**: [hyperinflation / high / moderate / low]

### Treasury Health
- **Total value**: $XXX M
- **Composition**: X% native token, X% stablecoins, X% ETH/BTC
- **Monthly burn**: $X.X M
- **Runway**: XX months
- **Revenue coverage**: X.X%
- **Diversification risk**: [concentrated / moderate / diversified]

### Sell Pressure Forecast
- **Next 30 days**: [X tokens unlocking → $X.XM at current price → X days of volume]
- **Next 90 days**: [summary]
- **Absorption capacity**: [easily / manageable / difficult / illiquid]

### Signal
- **Short-term (pre-unlock)**: [avoid / reduce / hold / accumulate]
- **Medium-term (post-unlock)**: [recovery expected / persistent pressure / unclear]
- **Long-term (tokenomics health)**: [sustainable / concerning / unsustainable]

Notes

  • Token unlock data requires external sources (tokenunlocks.app, protocol docs); not available via OKX API
  • Unlock dates can change if governance votes to modify vesting schedules
  • Market cap / FDV ratio < 30% means >70% of tokens are still locked — significant future dilution risk
  • Always compare unlock impact relative to daily trading volume, not just supply percentage
  • Some protocols have buyback / burn mechanisms that offset emissions — check net inflation, not gross
  • This framework is for research purposes only and does not constitute investment advice

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Compare a Chinese company's US depositary receipts, Hong Kong shares, and mainland shares after adjusting for exchange rates and share ratios. Analyze pricing gaps, valuation differences, and delisting risks to support research into its different listings.

中文简介正在准备中。当前显示英语简介。

  • Compare A-share and H-share pricing gaps
  • Measure ADR premiums against Hong Kong shares
  • Review US delisting risks and Hong Kong listing alternatives
HKUDS/Vibe-Trading3.6万2026年10月23日 更新

akshare

免费

Retrieve stock prices, futures quotes, exchange rates, and economic indicators with the free Python library AKShare. The skill explains market-specific functions, symbol formats, and data preparation for analysis and testing strategies against historical data.

中文简介正在准备中。当前显示英语简介。

  • Retrieve historical prices for Chinese, US, and Hong Kong stocks
  • Collect Chinese GDP and consumer price data
  • Check futures quotes and foreign exchange rates
HKUDS/Vibe-Trading3.6万2026年10月23日 更新

alpha-zoo

免费

Explore bundled libraries of investment factors, signals used to compare securities, and inspect individual formulas and metadata. Evaluate a factor or an entire library across a chosen universe and period, producing aggregate performance statistics and an HTML report.

中文简介正在准备中。当前显示英语简介。

  • Find bundled momentum or reversal factors
  • Inspect a named factor's formula and metadata
  • Compare a factor library across a chosen universe and period
HKUDS/Vibe-Trading3.6万2026年10月23日 更新

Assess whether a Chinese A-share company may receive ST or *ST risk warnings next financial year. Review financial forecasts, dividends, audit opinions, and regulatory penalties, then report risk severity separately from confidence in the prediction.

中文简介正在准备中。当前显示英语简介。

  • Reviewing a Chinese A-share company's future ST risk
  • Assessing escalation risk for an existing ST or *ST stock
  • Checking revenue, equity, and dividend warning signs
HKUDS/Vibe-Trading3.6万2026年10月23日 更新

Plan portfolio allocations across assets using risk, correlations, return forecasts, and trading costs. Compare five optimization methods, produce settings for config.json, and define rebalancing rules that adjust holdings back toward their target weights.

中文简介正在准备中。当前显示英语简介。

  • Comparing allocations across stocks, bonds, and gold
  • Choosing an optimizer based on return forecasts and correlations
  • Preparing portfolio settings for config.json
HKUDS/Vibe-Trading3.6万2026年10月23日 更新

Diagnose failed or abnormal backtests, which test trading strategies on historical data. Inspect result files, strategy code, and configuration to identify bugs, make targeted repairs, rerun tests, and verify the updated metrics.

中文简介正在准备中。当前显示英语简介。

  • Investigating backtest execution errors
  • Finding why a strategy produces no trades
  • Checking delayed trades or low capital usage
HKUDS/Vibe-Trading3.6万2026年10月23日 更新

查看 HKUDS 的全部技能

报告此技能的问题