When someone posts that Variational points will be worth $40 and RiseX points $8, there is one short formula and three assumptions behind that number. The formula is trivial. The assumptions are where the estimates go wrong, and why two analysts can differ by a factor of five on the same project. Below we break down the mechanics, then run all three venues on live data: FDV comes from market consensus rather than a guess, cost per point is derived from each venue's actual weekly volume, and for Variational we cross-check the model against the price of real OTC trades.
The points valuation formula
It reduces to a single division:
The numerator is how much money gets distributed to farmers. The denominator is how many slices that money is cut into. A point has no intrinsic price: it is a claim on a future pie, not an asset. You are not buying a point for $40 — you own one ten-millionth of whatever portion of the project gets distributed.
Variable 1: FDV — what the market will value the project at
FDV (Fully Diluted Valuation) is the token price multiplied by the entire supply, not just the circulating float. This is the most subjective input in the formula: nobody knows it before listing, which is why serious estimates always present a range of scenarios rather than a single number.
The common approach is comparables — look at what similar perp-DEX launched at. The better approach is to ask the market directly: for several projects, Polymarket runs contracts on "FDV above X one day after launch", and a probability-weighted expectation falls straight out of the order book. Our points calculator pulls FDV from there rather than from an author opinion, and the difference is visible below.
Variable 2: allocation to the drop
What share of supply goes to farmers. Sometimes published in the tokenomics, usually not — in which case people anchor on the 10–30% typical for the sector. One nuance matters: share of total supply and share of the community bucket are different things. Variational commits roughly 50% of supply to the community, but that does not mean 50% goes to points farmers — liquidity, grants and future seasons come out of the same bucket.
Variable 3: total points — how many slices
The most underrated variable and the main source of disappointment. The denominator keeps growing while farming is live, because points are printed every week. If a model assumed 10M points and the program ends at 25M, the price per point falls by 2.5x automatically — even with a perfectly forecast FDV.
Hence the rule: any point valuation is only valid for a specific assumption about farm duration. That is why the tables below state the duration scenario explicitly — without it the number is meaningless.
How to reverse-engineer a hidden denominator
If someone publishes a table of "FDV x allocation = price per point" but never states total points, you can back it out. At $2B FDV and 25% allocation, $500M gets distributed; if the table says $50 per point, the author assumed 10M points. Check it against another row: $3B x 30% = $900M divided by $90 is 10M again. If it reconciles, you have found the hidden assumption and can judge for yourself whether it is realistic.
Variational: using market FDV instead of a guess
Variational is an RFQ venue with zero trading fees (0 bps taker and maker — the venue earns from spread capture), running roughly $5.5B of weekly volume on our data. Points are distributed in weekly batches every Friday, the venue does not publish the accrual formula, and distributions are stated to end no later than Q3 2026. The assumed issuance is 10M points.
The key difference in our estimate: we do not invent the FDV. Polymarket runs a market on Variational FDV one day after launch, and the bucket probabilities give a weighted expectation. At publication the market implies a weighted FDV around $1.82B, with $1.5B as the single most likely bucket. For context: the market prices roughly 62% odds of clearing $1B, but only about 15% for $3B.
And here we have a second, rarer anchor — the price of actual trades. Variational points change hands OTC at around $25 per point. That is not a forecast and not a model: it is the price at which people are willing to buy and sell right now. An anchor like that beats any table, because it already prices in FDV expectations, risk and the discount for uncertainty.
| FDV | 10% allocation | 15% allocation | 20% allocation | 25% allocation |
|---|---|---|---|---|
| $1.0B — 62% odds | $10 | $15 | $20 | $25 |
| $1.5B — most likely | $15 | $22.5 | $30 | $37.5 |
| $1.82B — Polymarket weighted | $18.2 | $27.3 | $36.4 | $45.5 |
| $2.0B — 29% odds | $20 | $30 | $40 | $50 |
| $3.0B — 15% odds | $30 | $45 | $60 | $75 |
Now the interesting part — what OTC tells us about the assumptions. A $25 point across 10M points implies the market is pricing a drop of roughly $250M. Lay that over a probable FDV: at $1.5B it implies an allocation near 16.7%; at $1.82B, about 13.7%. In other words, buyers putting real money down believe farmers will receive 13–17% of supply, not the 20–30% that most forecasts assume.
That correction matters, and it explains why channel tables run systematically hot: they start from a 20–30% allocation while the market pays as if it were 15%. Note that the OTC price lands exactly between the cells for 15% x $1.5B = $22.5 and 15% x $1.82B = $27.3 — model and market agree once you use an honest allocation.
A word on the 50% figure that circulates in chats. Variational docs do state that roughly half of supply is earmarked for the community — but the same page notes that this pool is distributed through various initiatives over time. The points airdrop is one slice of it, alongside liquidity, grants and future seasons. Plugging 50% into the formula as the drop allocation is wrong, and that is exactly why the OTC-implied number comes out at 13–17% rather than 50%.
RiseX: the denominator is still open
RiseX distributes 200,000 points weekly under Season 1 Ignite, running roughly $641M of weekly volume on our data, with 3 bps taker and 1 bps maker fees. Farming is stated to run no later than Q2 2027. Doing the arithmetic honestly: if it wraps by the end of March there are roughly 27–28 weeks left, which means about 5.5M more points on top of what has already been issued. That puts the working range for total points at 8M–10M — and the gap between those two numbers moves the price per point by a quarter.
| FDV | 15% allocation | 20% allocation | 25% allocation |
|---|---|---|---|
| $300M | $4.50 | $6.00 | $7.50 |
| $400M | $6.00 | $8.00 | $10.00 |
| $500M | $7.50 | $10.00 | $12.50 |
| $600M | $9.00 | $12.00 | $15.00 |
| FDV | 15% allocation | 20% allocation | 25% allocation |
|---|---|---|---|
| $300M | $5.62 | $7.50 | $9.38 |
| $400M | $7.50 | $10.00 | $12.50 |
| $500M | $9.38 | $12.50 | $15.62 |
| $600M | $11.25 | $15.00 | $18.75 |
The working range is $6–$10 per point, averaging around $8 under conservative assumptions. One caveat up front: unlike Variational, RiseX points have no public OTC price, so this rests on the model alone and deserves correspondingly less confidence. A useful FDV anchor: the project raised $9.2M at a $200M valuation when the product barely existed; open interest now exceeds $50M on our data. That is not a guarantee of a re-rate, but it explains why the FDV range starts at $300M rather than $200M.
That is the real conclusion on RiseX: upside is not measured against the TGE price, it is measured against YOUR cost basis. At $8 per point and a $3.8 basis you are looking at roughly 2x on spend, not the 8x available to early farmers. You can check your actual entry cost in Execution Cost, which shows what walking the book really costs at your size.
Ondo: the case where you do not need to guess FDV
Ondo Perps is a special case, and that is precisely why it is worth covering. $ONDO already trades, so FDV is not a guess: at publication the price is around $0.406 against a 10B total supply, giving roughly $4.06B FDV. The formula therefore simplifies — you value the drop in tokens rather than in FDV.
Ondo distributes 5M points weekly, running roughly $751M of weekly volume on our data, with 3.5 bps taker and 1.5 bps maker fees. 52.1% of supply sits in Ecosystem Growth for incentives, airdrops and contributors — but a specific perps drop typically draws 1–3% out of a bucket like that, so that is the corridor we model. No hard farm duration has been announced; the interface shows 18 weeks, so we run two scenarios.
| Allocation | ONDO to drop | ONDO per point | $ per point |
|---|---|---|---|
| 1.0% supply | 100M ONDO | 1.111 | $0.45 |
| 1.5% supply | 150M ONDO | 1.667 | $0.68 |
| 2.0% supply | 200M ONDO | 2.222 | $0.90 |
| 2.5% supply | 250M ONDO | 2.778 | $1.13 |
| 3.0% supply | 300M ONDO | 3.333 | $1.35 |
| Allocation | ONDO to drop | ONDO per point | $ per point |
|---|---|---|---|
| 1.0% supply | 100M ONDO | 0.833 | $0.34 |
| 1.5% supply | 150M ONDO | 1.250 | $0.51 |
| 2.0% supply | 200M ONDO | 1.667 | $0.68 |
| 2.5% supply | 250M ONDO | 2.083 | $0.85 |
| 3.0% supply | 300M ONDO | 2.500 | $1.02 |
The working range at a 1.5–2.5% allocation is roughly $0.51–$1.13 per point. Note the detail that matters: the two tables differ only in farm duration — FDV is identical in both. Six extra weeks cut the price per point by about a quarter. It is the clearest illustration of why the denominator deserves more attention than it usually gets.
One factor that rarely makes it into these models: Ondo also distributes USDC in its Rewards section. Those payouts directly reduce the net cost per point, so an active farmer's real basis will sit below the calculated figure.
The three venues side by side
| Venue | Weekly pool | Weekly volume | Cost per point | Expected price | Ratio |
|---|---|---|---|---|---|
| not published | $5.52B | spread and funding (0 fees) | ~$29 (OTC $25) | depends on entry | |
| 200k points | $641M | about $3.8 | $6–$10 (avg $8) | about 2x | |
| 5M points | $751M | about $0.21 | $0.51–$1.13 (avg $0.8) | about 2.5–5x |
The takeaway from this table: comparing venues by price per point is meaningless. A Variational point is worth tens of times an Ondo point, but that reflects a different denominator, not a better farm. What you compare is the ratio of expected price to YOUR cost basis — and on that metric Ondo currently screens better than the more heavily promoted RiseX.
Where the formula lies: five corrections
The math above is a model, not a forecast. The places where it systematically errs on the optimistic side:
- The denominator grows while farming runs. Any estimate made mid-season is inflated relative to the final number. Assumed 10M, ended at 25M — divide the result by 2.5.
- FDV is not cash in hand. FDV is priced off full supply, while day-one float is typically 5–15%. You cannot sell an entire allocation at the listing price: the book is thin, and when farmers exit together the realised price sits well below the quote.
- Vesting and sybil filtering. Tokens may be released in tranches over months, and some accounts get cut as multi-accounts. Both reduce the actual payout and neither appears in the formula.
- Rules change mid-flight. A project can revise multipliers, extend a season or cap per-account rewards. The formula prices what was announced, not what survives to TGE.
- Allocation is almost always overstated. Models like 20–30%, while the OTC price on Variational implies 13–17%. Where a real trade price exists, it outranks any table — it already contains both the expectation and the risk.
What to do with this in practice
The only number you actually control is your own cost per point. The TGE price is set by the market; your spend is set by you — by venue choice, fee tier, whether you take or make, and how expensively your size walks the book.
So the process is simple: work out how many points $100k of volume earns you on a given venue; work out what that volume costs you in fees, spread and funding; divide one by the other. That is your basis. Then compare it against the tables above, and the question of whether to farm becomes arithmetic rather than faith in someone else's channel.
Live pools, venue volumes and FDV consensus across every tracked venue sit in the points calculator; the real cost of walking the book is in Execution Cost; and the funding you pay or collect while holding is in the funding screener.