What does it cost to become the liquidity backbone and data oracle of a vertical entertainment prediction market — and what does it return?
The prediction market industry processed over $40 billion in combined volume in 2025. Weekly volume now exceeds $5.2 billion. The industry is being called "Information Finance" or "InfoFi."
| Platform | 2025 Volume | Fee Revenue | US Legal | Model | Valuation |
|---|---|---|---|---|---|
| Kalshi | $22.88B | $263.5M | CFTC DCM | Maker-Taker, Fiat | $22B |
| Polymarket | ~$30B+ | ~$140M ann. | CFTC via QCEX | CLOB, USDC | ~$4B |
| Robinhood | Growing | N/A | Brokerage | Event Contracts | $44B |
| ForecastEx (IBKR) | Small | N/A | Institutional | Event Contracts | — |
Oscars volume: $2.3M (2024) → $29.6M (2025) → $120M+ (2026). That is 52x growth in two years. Golden Globes: +165% year-over-year. Entertainment traders grew 10x in 12 months.
Polymarket acquired QCEX (a CFTC-licensed derivatives exchange) for $112 million in late 2025, allowing it to legally operate in the United States. US users now require KYC and must use approved brokers — no more direct crypto wallet trading. This puts both Kalshi and Polymarket on roughly equal regulatory footing in the US for the first time.
5c(c) Capital — a new $35M fund backed by the CEOs of both Kalshi and Polymarket — is investing in "data tools, liquidity provision, and compliance systems." This is the prediction market infrastructure layer. An oracle/data provider for entertainment brand power fits this thesis precisely.
Kalshi's own internal market maker — Kalshi Trading — is not profitable. It traded ~$310M/month on sports (less than 6% of maker volume) and operates at a loss. Their co-founder confirmed this publicly. If the exchange operator, with every structural advantage, cannot profitably market-make on its own platform, market making alone is a cost center.
| Order Type | Fee | Notes |
|---|---|---|
| Maker (limit orders) | 0% | Free. Incentivizes liquidity provision. |
| Taker (market orders) | 0.07% – 7% | Sliding scale. Highest at 50/50 probability (~7%), lowest at extremes (~0.07%). |
| Market Maker Rebate | Up to 1% | Capped at $7,000/week ($364K/year max). Requires program acceptance. |
| Category | Peak Taker Fee | Maker Rebate % | Net to LP (% of vol) |
|---|---|---|---|
| Crypto | 1.80% | 20% | 0.36% |
| Politics | 1.00% | 25% | 0.25% |
| Finance | varies | 50% | 0.50% |
| Culture / Entertainment | varies | 25% | 0.25% |
| Sports | varies | 25% | 0.25% |
| Capital Deployed | Monthly Gross | Annualized | Caveat |
|---|---|---|---|
| $1K – $5K | $50 – $200 | 12 – 48% | Single market, learning stage |
| $5K – $25K | $200 – $1K | 10 – 48% | Multiple markets, semi-automated |
| $25K – $100K | $1K – $5K | 12 – 60% | Full automation, diverse portfolio |
| $100K+ | $5K – $20K | 60 – 240% | Pro cross-platform. Gross only. |
Net returns are 30–60% lower after adverse selection losses. Polymarket LP participants widely report that "profits are actually negative" — they participate expecting token airdrops, not genuine trading profits. The documented returns assume high-volume markets. A niche entertainment vertical will not generate $100K+ daily volume per market for some time.
| Market | Duration | Volume | LP Reward | Annualized Yield |
|---|---|---|---|---|
| Arctic sea ice | 3 months | $20K | $9 | Negligible |
| Bitcoin price | 2 weeks | $3M | $142 | ~0.12% |
| BTC Up/Down 15min | Daily | ~$10K fees | $2,000/day | High-freq only |
The pattern: high-frequency, high-volume markets generate real LP income. Low-frequency niche markets do not. SBPI markets resolve weekly — 52 times more often than Oscars but far less often than 15-minute crypto contracts.
If market making is the cost center, what generates profit? Being the oracle and index provider. The company that produces the data that resolves prediction markets captures revenue from data licensing, exchange partnerships, content flywheels, and sponsorships — independent of whether it also provides liquidity.
S&P Dow Jones Indices earned $1.6B in 2024 licensing the S&P 500 to exchanges. CF Benchmarks provides crypto indices to Kalshi. Rotten Tomatoes provides movie scores. The oracle provider captures recurring revenue from every trade without putting capital at risk as a market maker.
| Metric | Conservative | Mid | Optimistic |
|---|---|---|---|
| Annual SBPI Market Volume on Kalshi | $25M | $100M | $300M |
| Kalshi Avg Fee Rate (1.2%) | $300K fees | $1.2M fees | $3.6M fees |
| Oracle Rev Share (15–25%) | $45K–$75K | $180K–$300K | $540K–$900K |
| Data Licensing Flat Fee | $50K | $100K | $150K |
| Total Kalshi Oracle Income | $95K–$125K | $280K–$400K | $690K–$1.05M |
This is the structural edge. The Oscars generate $120M+ in volume from a single annual resolution. SBPI produces 52 resolutions per year across 70–120 active markets. Each resolution is a "game day" for traders.
| Event | Resolutions/Year | Volume (2026) | Volume per Resolution |
|---|---|---|---|
| Oscars | 1 | $120M+ | $120M |
| Grammys | 1 | ~$30M | $30M |
| Golden Globes | 1 | ~$15M | $15M |
| SBPI (projected) | 52 | $25M–$300M | $480K–$5.8M |
Even if each weekly SBPI resolution captures just 0.4% of Oscars-level attention ($480K/week), the annual volume exceeds $25M. At 4% of Oscars-level attention per resolution, it exceeds $300M.
| Revenue Stream | Conservative | Mid | Optimistic |
|---|---|---|---|
| Kalshi Oracle Partnership | $95K | $340K | $870K |
| Polymarket MM + LP Rewards | $10K | $58K | $178K |
| Kalshi Market Maker Rebates | $104K | $260K | $364K |
| Data Licensing (Direct) | $107K | $307K | $893K |
| Sponsorship + Content | $62K | $186K | $408K |
| Total Annual Revenue | $378K | $1.15M | $2.71M |
| Cost | Conservative | Mid | Optimistic |
|---|---|---|---|
| Development (platform + bots) | $50K | $80K | $120K |
| Legal (CFTC filing + compliance) | $30K | $50K | $75K |
| Liquidity Capital Deployed | $75K | $150K | $250K |
| Operations (VPS, monitoring) | $12K | $24K | $36K |
| Marketing + Content | $20K | $40K | $60K |
| Total Year 1 Cost | $187K | $344K | $541K |
Market making alone is a loss leader — even Kalshi's own internal market maker is not profitable. The real economics come from being the oracle + index provider that platforms pay to use — the S&P of entertainment prediction markets. The SBPI's weekly cadence produces 52 "game days" per year, creating habitual engagement that annual awards events cannot match.
Regulatory: Some states are pushing back against prediction markets (Massachusetts injunction, Arizona criminal charges against Kalshi). Entertainment brand power markets are novel territory. Oracle trust: SBPI is proprietary — traders must trust ShurAI's scoring. Volume chicken-and-egg: Markets need liquidity to attract traders, but liquidity costs money before traders arrive. CFTC approval timeline: New market categories take 3–6 months for Kalshi approval.
| Phase | Timeline | Capital | Action |
|---|---|---|---|
| Phase 1: Paper Trading | Q3 2026 | $30K–$50K | Custom demo, real SBPI data, play money, leaderboard. Validate demand with zero financial risk. |
| Phase 2: Kalshi + Polymarket | Q4 2026 | $150K–$250K | Submit oracle partnership to Kalshi. List weekly markets on Polymarket. Provide liquidity on both. |
| Phase 3: Scale | 2027 | Revenue-funded | Expand market types. Launch data subscriptions. Add branded sponsorships. Evaluate custom platform. |