How to Build Realistic Bull, Base and Bear Scenarios for New Tokens
Quick Answer: What Is the Best Way to Build Bull, Base and Bear Token Price Scenarios?
Start with valuation, not price. Estimate the token’s circulating supply at a defined future date, set a reasonable market-cap range using comparable projects and fundamentals, then vary your assumptions about adoption, catalysts, liquidity and market conditions across three cases. Convert each into a price:
Scenario Price = Target Market Cap ÷ Projected Circulating Supply
A price target without a stated market cap and supply assumption behind it is close to meaningless.
Key Takeaways
- Begin with market capitalization, not token price.
- Use the circulating supply expected at the scenario date, not today’s float.
- Treat fully diluted valuation (FDV) as a cross-check, not as a valuation you already own.
- Bull, base and bear cases should be different sets of assumptions, not arbitrary percentage moves off spot.
- Benchmark against a small peer set matched on sector, maturity and fundamentals.
- Stress-test unlocks, liquidity and the broader market regime in every case.
A token that listed three weeks ago gives you almost nothing to extrapolate from. There is limited price history, a small circulating float, unproven adoption, a heavy schedule of future unlocks and liquidity that can change week to week. Valuation is often driven by narrative rather than durable usage or cash flow. Anchoring a forecast to the launch price under those conditions is guesswork dressed up as analysis.
The low-float, high-FDV structure remains the defining risk to examine in 2026. CoinGecko flags a small circulating share relative to total supply as a warning sign precisely because later releases dilute existing holders. Tokenomist’s study of 236 unlock events reaches a related conclusion: unlock-driven underperformance is real but conditional, and it concentrates in exactly these early-stage, thin-float names.
What Data Do You Need Before Building Token Price Scenarios?
Assemble the inputs before you touch a spreadsheet.
Supply and Tokenomics
- Current price, circulating supply, total and max supply
- Current market cap and current FDV
- Vesting and unlock calendar
- Ongoing emissions schedule
- Burns or buybacks, where economically meaningful
- Team, investor and community allocations
The denominator that matters is projected circulating supply at your target date, not the number on a price-tracking site today.
Fundamentals and Market Data
- Protocol users and on-chain activity
- TVL, where relevant to the model
- Fees and protocol revenue
- The token’s value-accrual mechanism
- Trading volume, order-book depth and venue availability
- Comparable protocols and their valuations
- Funding-round or prior sale valuations
- BTC and ETH direction, plus the broader altcoin environment
One discipline separates good models from bad ones: protocol success and token value accrual are different things. Users and revenue can grow substantially while the token captures none of it. If you cannot describe the mechanism that links protocol performance to token demand, your bull case is a story, not a model.
How Do You Turn Those Inputs Into a Realistic Valuation Range?
Step 1: Choose a Time Horizon
Pick a date: 3, 6 or 12 months. “Eventually” is not a horizon. Without a fixed date you cannot fix the supply, which means you cannot convert valuation into price.
Step 2: Build a Comparable-Token Valuation Range
Select roughly three to five peers matched on sector and use case, adoption level, revenue or TVL where applicable, token economics and maturity.
Compare market cap and FDV, never token prices. Resist the reflex of benchmarking a two-month-old protocol against the sector leader unless your bull case explicitly argues why it deserves that seat.
Step 3: Estimate Supply at the Target Date
Projected supply = current circulating supply + scheduled unlocks + emissions − expected burns
Step 4: Convert Valuation Into Price
Price = Scenario Market Cap ÷ Projected Circulating Supply
Then calculate the implied FDV as a sanity check. If the bull-case FDV lands above the sector leader’s current valuation, you have a claim to defend, not a conclusion.
Bull vs Base vs Bear Case: What Should Actually Change Between Scenarios?
| Factor | Bear Case | Base Case | Bull Case |
| Market environment | Risk-off / weak altcoins | Neutral | Strong risk-on |
| Adoption | Misses targets | Meets reasonable targets | Materially exceeds targets |
| Fundamentals | Stagnant or declining | Gradual growth | Strong acceleration |
| Token demand | Weak | Sustainable | Strong |
| Unlock absorption | Poor | Manageable | Easily absorbed |
| Liquidity | Thin, deteriorating | Stable | Expanding |
| Relative valuation | Discount to peers | Near peer range | Premium justified by growth |
| Catalysts | Delayed or fail | Partially realized | Major catalysts succeed |
What matters is the assumption set. “Bull = +100%, bear = −50%” is not a scenario model; it is a number picked first and justified afterwards.
Worked Example: Building a Bull, Base and Bear Scenario for a New Token
Take a fictional token to keep this free of any implied recommendation.
- Current price: $1.00
- Current circulating supply: 100 million
- Current market cap: $100 million
- Total supply: 1 billion
- Current FDV: $1 billion
- Expected circulating supply in 12 months: 250 million
| 12-Month Scenario | Target Market Cap | Projected Supply | Implied Price | Implied FDV |
| Bear | $100M | 250M | $0.40 | $400M |
| Base | $300M | 250M | $1.20 | $1.20B |
| Bull | $750M | 250M | $3.00 | $3.00B |
Bear: adoption disappoints, the token trades at a discount to peers, and new supply arrives faster than demand.
Base: the protocol executes reasonably and settles into a valuation comparable with similar projects.
Bull: adoption materially outperforms, the sector attracts stronger capital inflows, and the project earns a defensible premium to peers.
Look at the bear row carefully. Market cap is unchanged at $100 million, yet the price falls 60%, because supply has 2.5×’d. This is the mechanic most retail models miss: a project can grow its valuation and still deliver a lower token price. You can see the same logic applied in our XXN price prediction.
How Should Token Unlocks, Liquidity and Market Conditions Change Your Scenarios?
Token Unlocks
Size each upcoming unlock against existing circulating supply, average daily trading volume, market liquidity and recipient cost basis. Do not assume every unlocked token is sold on day one.
The Tokenomist research is instructive here. Across 236 events, the typical one-month median move was about −4.85% relative to matched peers, but that headline number averages two very different populations. Early-stage, thin-float tokens showed median declines around −16%, while unlocks on established, high-liquidity tokens showed no significant effect under two independent controls. Most of the drift also occurred before the unlock date. That is an argument for scenario-based treatment, not a universal “unlock discount.”
Liquidity
A theoretical $5 billion FDV does not mean anyone could transact billions of dollars near that valuation. Model order-book depth, DEX liquidity, slippage at realistic size and exchange availability.
Market Regime
Run each case against BTC and ETH direction and against whether capital is actually rotating into altcoins. Through 2026, heavy weekly unlock schedules repeatedly landed into subdued demand and thinner liquidity, a reminder that supply assumptions and valuation assumptions have to move together.
How Do You Decide Which Scenario Is Most Likely?
Assign probabilities, while resisting false precision:
- Bear: 25%
- Base: 50%
- Bull: 25%
Probability-weighted price = (Bear × P) + (Base × P) + (Bull × P)
Using the example above: ($0.40 × 25%) + ($1.20 × 50%) + ($3.00 × 25%) = $1.45
That $1.45 is not a prediction. It is a summary of the assumptions you fed the model, and it moves the moment those assumptions change.
Revisit your probabilities when unlock schedules change, usage or revenue misses expectations, major listings occur, token utility changes, competitors take share, or the market regime turns.
5 Mistakes That Make Crypto Bull, Base and Bear Cases Unrealistic
- Starting with a desired price and reverse-engineering a narrative to reach it.
- Ignoring future circulating supply and valuing everything against today’s float.
- Comparing token prices instead of valuations. A $0.10 token is not inherently cheaper than a $100 token.
- Using unrealistic comparables, particularly assuming any new protocol can reach the sector leader’s valuation.
- Treating catalysts as guaranteed. Listings, partnerships, product launches and regulatory outcomes are probabilities, not certainties.
Sanity check: If your bull case implies an FDV larger than established sector leaders, state explicitly what would have to be true to justify it.
Conclusion: Scenarios Are Decision Tools, Not Price Predictions
The sequence is what matters: Supply → Valuation → Implied Price → Catalysts and Risks → Probability.
A good scenario model tells you what must happen for each valuation to become reasonable. That makes the assumptions more valuable than the headline number they produce. Revise the model as fundamentals, supply schedules and market conditions change, and treat any figure that survives unchanged for six months as stale.
FAQ
What is the difference between a token price target and a price scenario?
A price target is a single-point prediction. A scenario is a conditional outcome: if these supply, adoption and market assumptions hold, the implied price is X. Scenarios can be checked and updated; targets can only be right or wrong.
Should I use market cap or FDV to value a new crypto token?
Both, for different jobs. Market cap values what is actually tradable now. FDV is a dilution and long-term valuation check. It is useful for asking whether the fully diluted number is defensible, not for assuming the whole supply is already liquid.
How do token unlocks affect crypto price predictions?
They increase circulating supply, which lowers the implied price at any given market cap, and may add selling pressure. But impact varies with recipient behaviour, liquidity and market conditions. Unlocks do not automatically cause declines.
How many comparable tokens should I use?
Three to five closely matched peers beats a broad sector average. Relevance matters far more than sample size.
How often should bull, base and bear scenarios be updated?
After any material change in price, supply schedule, fundamentals, catalysts or market regime, and at minimum when you cross into a new unlock period.
Table of Contents