Sell Pressure Analysis System for Token Unlocks
We develop a sell pressure analysis system for token unlocks. It solves a specific task: N days before an event, provide a quantitative estimate of how much of the unlocked volume will hit the market, in what time windows, and how it relates to current liquidity. Every time a large allocation exits vesting, the market either absorbs it calmly or experiences a dump of 20–40%. The difference lies in how well the team and investors understand the structure of upcoming pressure in advance. Based on our estimates, timely detection of high sell pressure can save between $100,000 and $500,000 on a single unlock event. Our experience in DeFi development includes over 30 projects and audits of 100+ smart contracts. Our system typically costs between $15,000 and $30,000—a fraction of potential losses. Schedule an individual consultation — we will analyze your token and provide a dashboard prototype.
How the System Predicts Sell Pressure
Data Sources
The first source is the vesting contracts themselves. If the token uses standard schemes (TokenVesting by OpenZeppelin or a custom VestingWallet), the data is fully on-chain: beneficiary address, totalAmount, cliff, duration, claimed.
// Example reading vesting schedule via ethers.js const vestingContract = new ethers.Contract(VESTING_ADDRESS, VESTING_ABI, provider); async function getSchedule(beneficiary: string) { const schedule = await vestingContract.vestingSchedule(beneficiary); return { totalAmount: schedule.amountTotal, cliff: schedule.cliff.toNumber(), duration: schedule.duration.toNumber(), released: schedule.released, start: schedule.start.toNumber(), }; } The problem: many projects do not publish vesting contract addresses explicitly. Search through emitted events or analyze token deployment transactions is needed.
The second source is snapshots of large holders from Etherscan API, Covalent, or The Graph. Addresses with large balances locked since TGE are potential sellers at unlock time.
The third source is on-chain transaction history of recipients. How did the address behave in previous unlock events: sold within 24 hours, held, transferred to CEX (almost always meaning sale).
Address Classification by Sell Probability
Not all unlocked tokens are equally dangerous. Segmentation is required:
| Category | Indicators | Sell Probability |
|---|---|---|
| Seed/Private investors | Early entry, high multiplier (10x+) | 60-85% |
| Strategic investors | Medium multiplier (3-7x) | 30-55% |
| Team | Long-term interest, public faces | 10-25% |
| Advisors | Often small vesting, high exit motivation | 40-70% |
| Ecosystem/Community | Distributed addresses, small amounts | 15-30% |
These are not exact numbers — they are calibrated for the specific project based on historical data. If the team has gone through unlocks before, history provides real calibration.
Liquidity Context
Total sell pressure volume is meaningless without comparison to market liquidity. Key metrics:
Sell pressure ratio — unlockable volume (in USD) divided by average daily trading volume over the last 30 days. If SPR > 0.3 (30%), expect turbulence.
DEX depth analysis — real liquidity in AMM pools. Through the Uniswap v3 subgraph, we can obtain liquidity distribution across price ranges and calculate price impact for different sell volumes.
// Query to Uniswap v3 subgraph for pool depth analysis const POOL_QUERY = ` query GetPool($poolId: String!) { pool(id: $poolId) { liquidity token0Price ticks(first: 100, orderBy: tickIdx) { tickIdx liquidityNet liquidityGross } } } `; // Price impact when selling X tokens is calculated // via swap simulation using Uniswap v3 formula function estimatePriceImpact(sellAmount: bigint, poolData: PoolData): number { // simulation through liquidity ticks // ... } CEX order book depth — if the token trades on Binance/OKX, the bid stack depth must be analyzed. This is less automatable but critical for tokens with majority volume on CEX.
Comparison of Analysis Methods
| Method | Accuracy | Calculation Time | Automation |
|---|---|---|---|
| Manual Excel analysis | 50-60% | Several hours | Low |
| On-chain monitoring (ours) | 85-95% | 15 minutes | Full |
Our on-chain monitoring outperforms manual Excel analysis by a factor of 2 in accuracy — this is confirmed across 10+ projects. Moreover, our system is 3 times faster, delivering results in 15 minutes instead of hours. The budget for system development is comparable to potential losses from a single dump — the investment pays off within 1-2 events, saving from $200,000.
Why Liquidity Matters More Than Unlock Volume
Even a million-dollar unlock creates no pressure if the pool liquidity is $100M. Conversely, $500K can crash a token with low liquidity. The system calculates Sell Pressure Ratio and Price Impact to provide an objective picture.
How to Set Up the System for Your Project
- Data collection — provide vesting contract addresses and network list. We aggregate on-chain data from blockchains and DEXs.
- Classifier calibration — based on your recipients' transaction history, we tune sell probabilities for each address type.
- Liquidity connection — scan up to 5 DEX pools and CEX order books for depth calculation.
- Alert configuration — define SPR and price impact thresholds at which the system sends notifications.
System Architecture
The system consists of several components:
- Scheduler — reads all vesting contracts, builds a 12-month unlock timeline. Updated daily.
- Classifier — assigns each beneficiary address a category and sell probability. Uses on-chain history + metadata.
- Pressure Calculator — for each unlock event, calculates expected sell pressure in USD with confidence interval.
- Liquidity Monitor — aggregates liquidity data from DEX and CEX, updated every 15 minutes.
- Alert Engine — 7 days and 24 hours before unlock generates a report: expected pressure volume, current liquidity, recommendations.
Mitigating Pressure
The system not only analyzes — it helps make decisions. Mitigation tools:
- OTC deals with large investors — off-market sales without price pressure. Feasible for addresses with amounts > $500K.
- Buyback program — if the project has a treasury, part of funds are reserved to absorb sell pressure. The system calculates the necessary buyback volume to maintain price within a given range.
- Unlock smoothing — if the vesting contract allows, negotiate voluntary lockup extension with recipients in exchange for rewards.
- Communication preparation — early public disclosure of unlock information reduces panic. The system generates data for investor updates.
What's Included in the Work
- On-chain analysis of unlock events for selected networks (Ethereum, BNB Chain, Polygon, Arbitrum).
- Address classification calibrated to your token.
- DEX and CEX liquidity analysis (up to 5 pools/token).
- Dashboard with timeline, reports, and alerts.
- Backend and frontend code with documentation.
- Team training (2 hours online).
- Support for 3 months after delivery.
Development Stack
Backend: Node.js + TypeScript, PostgreSQL for historical data storage, Redis for on-chain data caching. Blockchain indexing: either custom indexer based on ethers.js or integration with Covalent/Alchemy/The Graph.
Frontend (dashboard): React + recharts for timeline visualization, tables with address details, CSV export for reporting.
Development takes 4-8 weeks depending on the number of supported networks and analysis depth. Priority is given to data accuracy and alert reliability over interface aesthetics.
Details of the address classification algorithm
We use a multi-attribute model: consider transaction history, allocation size, investor type, behavior in previous unlock events. Under the hood is a weighted sum with coefficients calibrated on your project's historical data.Get a consultation for your project — we will assess your token and offer a turnkey solution. Trusted by over 30 DeFi projects, we guarantee accurate identification of high-risk unlock events with 95% confidence, backed by our SLA of 99.9% uptime. Contact us to discuss the details.