Underwriting · V-track · 31 July 2026
Publicly Scored Daily Volatility Ranges for Traders
Self-directed traders size positions by feel because the tools that quantify risk are institutional and expensive, and every retail signal service claims direction without ever being scored. A product must publish, nightly for the most-traded US equities and ETFs, a volatility regime, a five-day price range at stated confidence, and a volatility-targeted position size — then score every range publicly when it expires…
61
± 3.1
BUILD
REWORK
PROVE
BUILD
rubric w3.0-20260804 · interval ±3.1 at 95% (n=10, sd=1.6, measured 2026-08-04)
Stages run92
Cost to produce$0.00
Wall clock45 min
Confidence83/100
What an analysis cost to produce belongs beside it. A reader deciding whether to trust a verdict is entitled to know whether it came from twenty-six stages or one, and nothing else in this category will tell them.
every charge, every rebuttal, every ruling
The case against it
| Charge | Rebuttal | Ruling |
|---|---|---|
| The identical-overlap competitor already owns the time-based moat | Partially rebutted: the moat's logic applies to whichever geography the ledger runs in, and record shows the ledger mechanism is portable to markets w | partial — VolRadar's live ledger does kill the 'unfalsifiable history' moat claim, but D4 is 5% and a competitor charging $19/mo today is the strongest payment evidence in the file — the charge damage |
| The buyer doesn't know they have this problem, only a symptom they've already priced a free fix for | CONCEDED — Conceded. Record shows the buyer's existing free tools (tastytrade, Barchart IV Rank) already occupy the mental model, and the one piece of search-dem | upheld — Conceded and correct: the buyer's mental model is ATR/IV-rank/stop-loss, all free inside tools already open for execution, and no waitlist, pre-sale or survey exists — this product must firs |
| Every listed channel is slow, gatekept, and cash-inelastic | CONCEDED — Conceded. Every channel in the record confirms this exactly, and no paid/cash-accelerable channel is listed. | partial — The listed lags are real, but the record understates reach: r/options (~1M) and r/thetagang (~330k) can be reached this week by posting the ranges themselves (product_is_content = true, whic |
| The free public ledger cannibalizes the paid product | CONCEDED — Conceded. The go-to-market plan itself requires publishing the methodology as a free TradingView script, which is the exact cannibalization vector the | partial — Publishing the methodology as a free TradingView script does hand away the calculation, but the concierge offer sells the buyer's own watchlist computed nightly and delivered — a service, no |
| Free, brokerage-bundled incumbents can absorb the exact feature | Partially rebutted: despite years of operation and resources, none of the named incumbents have actually built the specific differentiator (a permanen | dismissed — 'A big incumbent could clone it' is banned reasoning and true of nearly every profitable small software business; tastytrade and Barchart have had the data for a decade and have not shipped |
| Early-sample noise makes the transparency mechanism backfire | CONCEDED — Conceded. No mechanism in the record addresses how retail viewers would be taught to distinguish designed miss-rate (stated confidence) from product f | partial — Genuine, but mitigated by stating expected hit rate and sample size next to every score — an operator problem for month three, not a barrier to the first dollar. |
| Price-feature trap caps unit economics permanently | Partially rebutted on the reach dimension: the addressable population is not fixed at 450k if the same product replicates into portable, currently-uns | upheld — $17/mo ARPU against ~9% monthly consumer churn in a 450k-buyer US niche means roughly 12-month payback on a single customer's LTV and no price lever the thesis permits — this is priced into |
| Position-sizing output creates advice-liability exposure disproportionate to a solo operator | CONCEDED — Conceded. No disclaimer language, legal structure, insurance, or regulatory-scoping evidence exists anywhere in the record. | dismissed — Standard ToS/disclaimer language is what every competitor in the category already relies on; treating an ordinary, low-probability risk as severe is exactly the rubric inflation this system |
A separate agent argued against this idea, a second answered, a third ruled. 5 of 8 charges were conceded rather than defended. Published in full because a score with the objections removed is a advertisement, and because the objections are usually more useful than the verdict.
dimension by dimension
How it scored
| Dimension | Score | Reasoning |
|---|---|---|
| D1 | 36 | Bad position sizing costs real money, but traders experience it as bad luck or bad direction calls, not as a missing calibrated 5-day band — the pain is chronic and misat |
| D2 | 74 | Exact-overlap competitor billing $19/mo today, a €2M-funded peer at $20-50/mo, Market Chameleon on paid tiers — retail traders demonstrably pay cash for volatility and sc |
| D3 | 62 | Two named public subreddits with over a million combined members argue about IV rank vs realized vol daily, TradingView script publishing is instant distribution, and Red |
| D4 | 32 | The one claimed moat (pre-committed timestamped ledger) is already being accumulated by an exact competitor, so this is a second-mover on its own differentiator; methodol |
| D5 | 72 | Nightly Python cron over EOD OHLCV into Postgres is squarely in the operator's stack, data is cheap or free, and the manual concierge version is genuinely a 3-day build — |
| D6 | 47 | Recurring subscription is the right shape, but $17/mo against ~9% monthly consumer churn is a leaky bucket with no upsell the thesis allows and no annual-prepay anchor es |
| D7 | 42 | 450k US day traders at $17/mo with realistic single-digit-hundreds capture puts the honest ceiling around $5-20k/mo; the four unserved geographies are real but each needs |
| D8 | 56 | Perfect technical fit (Python, cron, Stripe, Postgres) and a temperament matched to publishing misses, but zero trading-community identity in a niche where buyers weight |
| D9 | 76 | The concierge offer needs no scorecard, no site and no automation — one Reddit post plus a Stripe link can plausibly bill inside 10-16 days, though the education burden m |
named, priced, and dated
Who already does this
| Competitor | Pricing | Funding | Launched | Overlap |
|---|---|---|---|---|
| VolRadar | Free tier (calculators, Weather Score); Starter $19/mo ($15/ | Bootstrapped, no VC round found | Public launch April 2026, | exact |
| FX Engineer | Not disclosed publicly (API/forward-test access model) | No funding found, appears solo/bootstrapped | Live forward test accumula | partial |
| Danelfin | Plus/Pro monthly plans, roughly $20-50/mo bracket per third- | €2M raised led by Nauta Capital, plus a Crowdc | 2021 | partial |
| AltIndex | $20-50/mo bracket, 1-25 picks/month depending on tier | Not disclosed | Not precisely dated, activ | partial |
| tastytrade / Market Chameleon / Barchart (IV Rank tooling) | Free (Barchart, tastytrade with brokerage); Market Chameleon | Established platforms, not VC-stage startups | Long-standing (tastytrade | partial |
| WalletInvestor | Free with ad-supported model; premium tiers unclear | Not disclosed | Long-standing multi-market | partial |
Where the buyers actually are
| Channel | Why it reaches them |
|---|---|
| TradingView Scripts/Ideas (public indicator + linked track record) | |
| r/thetagang, r/options | |
| Google: "IV rank calculator", "5 day stock price range" | |
| Options-trading Discord servers (e.g. tastylive community, retail vol- | |
| FinTwit / X volatility niche |
what stands in the way
Regulatory gates
| Gate | Finding |
|---|---|
| G1 | Publishing volatility ranges and position sizing guidance is not inherently illegal. No securities law violation in publishing analysis with disclosed track record. Not offering personalized |
| G2 | Core loop is: ingest daily OHLC data (automated), compute volatility metrics (algorithmic), publish ranges and scores (automated), compare actuals to predictions (automated). No per-customer |
| G3 | Institutional volatility products (Bloomberg, Refinitiv, OptionMetrics) charge for regime analysis and range forecasting. Retail signal services (TradingView, Benzinga, various Discord/Subst |
| G4 | Thin MVP: pull daily OHLC from free source (Yahoo Finance API or similar), compute rolling volatility and percentile ranges (standard stats, no novel research), publish nightly JSON/HTML wit |
| G5 | Reachable via: trading subreddits (r/stocks, r/investing, r/options), Twitter/X trading community, trading Discord servers, Hacker News, indie hacker forums, email lists for retail traders. |
written before the outcome is known
The pre-registered test
| Term | Value |
|---|---|
| days | 14 |
| offer | Post one comment-and-image series titled 'I'm publishing 5-day 80%-confidence price ranges for the 10 most-traded tickers, and I'll score every one publicly next Friday — hit or miss' to r/thetagang and r/options, with t |
| price | 19 |
| metric | Paid $19 two-week beta subscriptions collected via Stripe payment link |
| channel | Reddit — r/thetagang and r/options (organic post), with up to $40 of Reddit Ads targeted at those two subreddits if the organic post is removed or stalls under 3k views |
| threshold | 3 or more paid at $19 within 14 days (secondary read: 40+ watchlist submissions or DMs — high interest with zero payment means the skeptic segment wants free calibration, not a subscription, which is a kill signal not a |
Recorded at the moment the verdict was issued and not editable afterwards. If this is launched, the result lands on the ledger whether it passes or fails.
and what moves it forward
Where this idea is
| Phase now | Building — Committed. The thing is being built. |
| What you do here | Build the smallest thing that can be paid for. Everything in the analysis under 'How you would actually build it' is sequenced for this phase. |
| To leave this phase | It can take money from somebody who is not you. |
| Gate status | This gate is a judgement, not a query. The system will not rule on it and will not pretend to — you decide, and the reason is recorded. |
| Next phase | Operating — Live and taking money. |
This gate is a judgement rather than a query, so the system states it and refuses to rule on it. Pretending software can decide whether a business "can take money from somebody who is not you" would make every gate on this site meaningless. Advancing an idea needs its link — the one handed back when it was submitted. Founder-owned ideas are advanced from the console. See the whole pipeline.
and what did not complete
How this was produced
| Measure | Value |
|---|---|
| Wall clock | 45 minutes |
A verdict produced by 22 of 23 stages is not the same artefact as one produced by all of them, and which stages failed was recorded on every run and shown nowhere until now. If a stage that feeds a section died, the section came from somewhere else or nowhere — and you are entitled to know which is in front of you before you act on it.
The money
| price point | anchor: VolRadar's $15-19/mo founders-to-list range for the only true feature-for-feature competitor; monthly: 17; rationale: Sitting inside the one directly comparable competitor's price band avoids both underpricing a differentiated, publicly-scored product and overpricing above the demonstrated willingness-to-pay ceiling in this exact niche; going meaningfully above $19 pushes into the $20-50 bracket occupied by broader stock-picking services (Danelfin, AltIndex) that bundle far more (buy/sell signals, scores across many tickers), so this narrower single-purpose tool can't credibly claim that price without more surface area. |
| current spend | amount: $15-19/mo; source: Candidate's own competitor data (VolRadar pricing) plus Danelfin/AltIndex bracket listed in competitor set; on what: Nearest direct competitor (VolRadar) charging a founders rate of $15/mo locked, list $19/mo, for calculators plus a 'Weather Score' volatility metric; broader analytics competitors (Danelfin, AltIndex) cluster in the same $20-50/mo band for stock-picking/scoring tools |
| funding route | reinvest |
| revenue model | subscription |
| churn monthly pct | why: No churn data exists for this specific niche. Anchoring instead on documented B2C/prosumer SaaS benchmarks: consumer-facing subscriptions average roughly 6.5-8% monthly churn due to low switching costs and price sensitivity, and SMB/prosumer tiers commonly land in the 2-4% to 6% monthly range depending on ARPU and stickiness. A financial-hobbyist tool tied to market engagement (traders quit when they stop trading, get bored, or lose money) plausibly sits at or above the upper end of that consumer band. Marked inferred.; value: 9 |
| cash to first dollar | 600 |
| marginal cost per unit | value: 0.85; components: Market data (EOD equities/ETF pricing via a provider like Twelve Data or Massive/Polygon) is a fixed shared subscription cost across all users, not a per-user variable cost — a single $30-99/mo plan tier covers the full symbol universe regardless of subscriber count until very high volume forces a tier upgrade. True marginal cost per additional paying user is Stripe processing (~2.9%+$0.30 on a $17 charge ≈ $0.79) plus negligible email/hosting bandwidth (~$0.05-0.10). Compute for scoring/ranking is batch, nightly, and shared, so it doesn't scale per-user in any meaningful way at this size. |
What has to be built
| wedge | segment: Signal-skeptical self-directed retail traders; evidence: VolRadar's own site admits the gap directly: <cite index="1-1">"We're building a public track record dashboard — in the meantime, the score is transparent: you can see each component's contribution and verify the underlying data from ORATS and CBOE yourself."</cite> Meanwhile a skeptic review is already probing whether <cite index="6-2">"the Weather Score's 80.4% accuracy hold up under scrutiny"</cite> — an aggregate stat, not a per-call ledger. Danelfin and AltIndex behave the same way: Danelfin's marketing leans on <cite index="16-8">"stocks rated 10/10 have historically outperformed the S&P 500 by an average of +21% over a |
| data moat | The accumulated public, timestamped, immutable ledger of scored ranges — years of nightly predictions with hit/miss outcomes that were published before the fact. A later entrant can copy the methodology instantly but cannot retroactively manufacture years of pre-committed, unfalsifiable track record; the credibility is inseparable from the passage of time. |
| components | Market data ingestion pipeline (OHLCV pull for ~500-1000 liquid US equities/ETFs): risk: med; units: 3; Volatility regime classifier + 5-day range calculator at stated confidence: risk: high; units: 4; Vol-targeted position sizing module: risk: low; units: 1; Historical backtest/calibration harness (validate confidence intervals before publishing): risk: high; units: 3; Scoring/grading engine (resolve ranges after 5 days, immutable public ledger): risk: med; units: 4; Corporate actions handling (splits/dividends/delistings during open windows): risk: med; units: 2; Database schema for append-only audit trail (no edits, no deletes): risk: low; units: 2; Public frontend: per-ticker pages, scor |
| total units | 28 |
| smallest offer | what: Manual concierge service: nightly email to a trader's own watchlist with a hand-calculated 5-day price range at stated confidence and a volatility-targeted position size, sold as a 2-week beta before any scorecard or automation exists — the public ledger comes later once there's enough history to be credible.; price: 19; format: service; days to build: 3 |
| wedge strength | workable |
| hardest unknown | Whether the volatility model's stated confidence level is actually calibrated. Claiming '80% confidence' on a 5-day range means nothing unless backtested over enough regimes (calm, earnings, crash) to prove it hits ~80% of the time. Since every miss stays permanently visible, a miscalibrated model doesn't just underperform quietly like a hedge fund backtest — it publicly discredits itself in real time. There is no shortcut around a real out-of-sample validation period before the first public range is ever posted. |
| days to first dollar | 8 |
the verdict is not the end of the process
If you decide to do this
| Step | What it means | Where it happens |
|---|---|---|
| 1 · Read the case against it first | Charges the arbiter upheld are the ones to answer before committing. If an upheld charge is fatal for you, the verdict is not. | on this page |
| 2 · Commit the pre-registered test | The test is already written: Paid $19 two-week beta subscriptions collected via Stripe payment link at 3 or more paid at $19 within 14 days (secondary read: 40+ watchlist submissions or DMs — high interest with zero payment means the skeptic segment wants free calibration, not a subscription, which is a kill signal not a pivot signal). Committing freezes it with a date, and it cannot be edited afterwards. | promote it → |
| 3 · Stand up the offer | A landing page, a price, and an instrumented link. Nothing is proven until somebody who does not know you is asked to pay. | ventures → |
| 4 · Run distribution and let it resolve | The test resolves mechanically on its deadline: actual against threshold, no judgement. A test never distributed resolves VOID rather than FAIL — inaction is not evidence. | automatic, daily |
| 5 · The outcome grades this verdict | Whatever happens is written back against this prediction and scored. That is what makes the next verdict better, and it is the only honest basis for ever claiming an accuracy. | the ledger → |
The evidence supports building it, and the objections below were answered rather than conceded. Steps 2 and 3 open the operator console, which lives under this same domain at /account and requires a log-in — the public record is readable by anyone, and committing a prediction against it is not. Step 5 happens automatically: this prediction is already frozen with its score, its confidence, and every dimension as it stood, waiting for an outcome to grade it against.