Quintarthai vs the alternatives
We built Quintarthai because nothing else combines SEDAR+, SEDI and EDGAR in one workflow. Here's how we stack up against the tools Canadian investors usually compare us to.
Cross-border research features
| Feature | Quintarthai | Koyfin | Atom Finance | Stockanalysis.com |
|---|---|---|---|---|
| SEDAR+ filings (CA) | Full ingest & search | — | — | — |
| SEDI insider data (CA) | Yes, with behavioral tagging | — | — | — |
| EDGAR filings (US) | Full XBRL ingest | Yes | Yes | Yes |
| SEC Form 4 insider trades | Yes, with context tagging | Yes | Basic | Yes |
| TSX & TSX-V coverage | Native, with venture-tier flags | Listed only, thin fundamentals | Listed only | Listed only |
| Dual-listed FX-adjusted spread | Live, with volume divergence | — | — | — |
| NI 43-101 RAG (mining geology) | 415-chunk corpus, 13 jurisdictions | — | — | — |
| S-K 1300 RAG (US mining) | Yes, in same corpus | — | — | — |
| Flow-Through Share calculator (CA) | All provinces, Regular + Super FTS | — | — | — |
| Blue Sky exemption checker (US+CA) | 50 states + 13 CA provinces | — | — | — |
| Delisting risk scorer | 4-signal live; 12-factor planned | — | — | Historical delisting list only |
| Warrant tracking (CA juniors) | Yes | — | — | — |
General research features
| Feature | Quintarthai | Koyfin | Atom Finance | Stockanalysis.com |
|---|---|---|---|---|
| Options & equity screener | 9 filter sections / 13 inputs (IV-Rank · V/OI · DTE · Mkt Cap · Sharia flag · Cross-border flag · Delisting risk · Price range · ATM IV · Exchange US/CA) over 61-ticker cross-border universe scanned daily | Yes, 500+ filters | Yes | Yes, extensive |
| ETF screener | Yes, categorized | Yes | Basic | Yes |
| IPO calendar | US + CA | US only | US only | US + limited global |
| Global indices | Yes | Extensive | Yes | US focus |
| Price charts & indicators | 26 standard indicators (SMA 50/200, EMA 9/20/50, BB, VWAP, RSI, MACD, Stoch, ATR, Will %R, ADX, CCI, ROC, OBV, MFI, PSAR, Ichimoku, StdDev) + 6 Quintarthai-unique (Confluence Band, Cross-Border Ratio, Sharia badge, Quinn AI Auto-Apply, Pattern Recognition, Adaptive RSI) + 3 trader-archetype templates (Day / Swing / LEAP) + auto Trade Plan w/ 4-rung R:R ladder · up to 11 sync-paned indicator panes | Professional-grade | Good | Good |
| Analyst consensus targets | Live (yfinance) · mean / median / high / low price targets · buy/hold/sell rec · # analysts · computed upside % (AAPL: Mean $305.28, 42 analysts, +4.1% upside, BUY) | Yes | Yes | Yes |
| Top institutional holders (13F) | Live · top 10 holders, share count, % held, value, quarter-over-quarter Δ (AAPL: Vanguard 9.71% · Blackrock 7.86% · State Street 4.11%; 7,572 institutions hold 67.6%) | Yes | Yes | Basic |
| 10-Q diff & context | ✓ Latest vs previous 10-Q dates, days between, 8-K events filed in between (AAPL: 91 days between, 3 8-Ks flagged) | — | — | — |
| News sentiment + relevance | ✓ V1 keyword-scored · ↑ bullish / — neutral / ↓ bearish per article + per-ticker relevance badge (AAPL: 2 bullish, 8 neutral, 0 bearish, 4 directly relevant) | Display only | Display only | Display only |
| Earnings call transcripts | Planned Q3 2026 | Yes | Yes | Links out |
| Fundamental data depth | 22 normalized KPIs (Mkt Cap · P/E TTM+Fwd · EBITDA · Rev + Rev/EPS Growth · Gross/Op/Profit Margins · ROE · ROA · FCF · Op CF · Total Debt · Cash · D/E · Current & Quick Ratios · Rev/Share · Div Yield · Payout Ratio) + up to 18-20 years annual fundamentals (SEC EDGAR XBRL) · 5y daily / 20y weekly / MAX monthly price charts | 20+ years | 20+ years | 10+ years |
| Conversational AI assistant | Quinn (RAG on regulations) | — | Limited | — |
| Built-in API access | Prime tier (planned) | Enterprise only | Yes | Limited |
Quintarthai-unique differentiators — what only we ship
| Feature | Quintarthai | Koyfin | Atom Finance | Stockanalysis.com |
|---|---|---|---|---|
| Cross-border + mining vertical (where Quintarthai wins) | ||||
| Cross-Border Ratio Chart (dual-listed) | ✓ Raw bps spread (US vs CA price ratio × 10000) live. FX adjustment + transaction-cost stack + leg-sizing planned for V2. | — | — | — |
| NI 43-101 Drill Interpreter | ✓ Grade × thickness, deposit-type-aware | — | — | — |
| S-K 1300 / NI 43-101 reconciliation | ✓ Both standards parsed · Measured/Indicated/Inferred mapping | — | — | — |
| Blue Sky 50-state checker | ✓ State-by-state exemption flags | — | — | — |
| FTS (flow-through share) calculator | ✓ CDE/CEE eligibility + 100% deduction model | — | — | — |
| SEDAR+ × SEDI integration | ✓ Both Canadian filings + insider feeds native | EDGAR only | EDGAR only | EDGAR only |
| AI + research moat | ||||
| Domain-trained regulatory RAG | ✓ 415 chunks · 13 jurisdictions (NI 43-101, S-K 1300, JORC, Reg S-K/D, IFRS, etc.) | — | — | — |
| Primary LLM inference | Cerebras qwen-3-235b (since 2026-04-25) · Groq Llama 3.3 70B fallback · Claude Haiku tool-call · local Ollama air-gap | Generic chat plug-ins | No native AI | — |
| Full microstructure pane | ✓ VPIN score (Easley & O'Hara) · Toxicity Level (LOW/NORMAL/ELEVATED/HIGH) · Order Flow (Buy/Sell %) · Order Imbalance % · Volume Bucket History · Participant Profiling (MM / Retail / Institutional dominance) (AAPL: VPIN 28.5%, Tox LOW, Buy 57.5%, MM-dominated 60%) | — | — | — |
| Confluence Score Band (historical visualization) | ✓ 6-component composite (Trend 25% + Momentum 20% + Volatility 15% + Volume 15% + S/R 15% + Sentiment 10%) rendered as a color-coded histogram across the full price history. No competitor visualizes multi-indicator consensus across time — TradingView, Koyfin, Bloomberg all show single-bar snapshots only | — | — | — |
| Auto Pattern Recognition | ✓ Head & Shoulders, Double Top, Double Bottom auto-detected from 5-bar fractal pivots, rendered as colored arrows directly on candle chart | — | — | TradingView Pro manual drawing only ($50/mo AI-assist) |
| Quinn AI Auto-Apply (regime-aware) | ✓ Quinn detects current market regime (Strong Uptrend / Strong Downtrend / Range-Bound / High-Vol / Transitional) from ADX + RSI + ATR/price · auto-applies 5-7 indicators with reasoning banner | — | — | — |
| Volatility-adaptive RSI | ✓ RSI period auto-tunes to current volatility regime (ATR/price <1% → period 9, 1-2% → 14, 2-3% → 18, >3% → 21). Snappier in calm tape, smoother in storms. | Fixed period | Fixed period | Fixed period |
| Auto Trade Plan with R:R ladder | ✓ Entry zone · Stop loss · 4-target ladder (technical pivots + 2R/3R stretch targets) · Risk-Reward headline · Conviction tag · Analysis Rationale (AAPL: Entry $293.28, Stop $284.48 3% risk, R:R 1:3, 4-target ladder) | — | — | — |
| Delisting Risk model | ✓ 4-signal model live (price · market cap · 90d drawdown · 30d avg volume). 12-factor model (float concentration, promoter-language NLP, audit-firm tier, +8 more) in development. | — | — | — |
| Form 4 Insider Activity Timeline | ✓ Filing-count aggregation over 30d / 90d / 365d with elevated-cadence flag (AAPL: 4 / 15 / 39 filings, elevated). Per-executive parsing + Green Diamond clustering planned. | Display only | Display only | Display only |
| Sharia compliance screening | ✓ 6 standards (AAOIFI · DJIM · FTSE Yasaar · MSCI Series · MSCI M-Series · S&P Shariah) · full TSX/NYSE/NASDAQ · purification calc · details | — | — | — |
| Trust, security & compliance posture | ||||
| HSTS preload + nonce CSP + strict-dynamic | ✓ All headers live | Standard HTTPS | Standard HTTPS | Standard HTTPS |
| PIPEDA + Quebec Law 25 compliant | ✓ Canadian infrastructure · auth-gated APIs | — | — | — |
| Public AI transparency disclosure | ✓ Per-engine architecture / training / limits at /legal/ai-transparency.html | — | — | — |
| PWA installable + Web Push alerts | ✓ Manifest + service worker + VAPID-signed price/filing pushes | — | — | — |
| SEO + organic distribution | ||||
| Per-ticker SEO landing pages | ✓ 10,400+ pages (NYSE/NASDAQ/TSX/TSX-V) · pre-generated · deep-linked to dashboard | — | — | Some |
Pricing (indicative; check each vendor for current rates)
| Tier | Quintarthai | Koyfin | Atom Finance | Stockanalysis.com |
|---|---|---|---|---|
| Free plan | Core — 10 Quinn queries/day, basic screeners | Limited | 14-day trial | Ads-supported |
| Entry paid | Trader $35/mo monthly · $50/mo annual (trading focus) or Alpha $99/mo monthly · $79/mo annual (research focus) | $39/mo Plus | $45/mo | $15/mo |
| Professional | Apex $249/mo monthly · $199/mo annual | $99/mo Pro | $149/mo | $40/mo Pro |
| Enterprise | Prime $499/mo monthly · $399/mo annual (API, SLA, white-label) | Custom | Custom | N/A |
Prices as of April 2026 per each vendor's public pricing page. Quintarthai shows both monthly and annual-billing rates (annual saves ~20%); competitors quoted on monthly rates per their public pages.
Beyond the direct-competitor lens: where Quintarth wins specific niches
The first table compares us against direct prosumer-research competitors. The reality is that most retail/prosumer investors stitch several tools together. Here's how Quintarth holds up against the specialists.
| Specialist | What they own | Where Quintarth wins |
|---|---|---|
| TradingView | Best-in-class charting, indicator scripts, social ideas | We don't try to displace it. Many of our users keep TradingView open for charts and Quintarth for cross-border filings, NI 43-101 grounding, and AI research. |
| TIKR | 100K+ stocks across 130 countries with translated filings | TIKR is breadth; Quintarth is depth on NA. We cover 10,400+ NA tickers with deep-linked SEDAR+/EDGAR + cross-border arbitrage TIKR doesn't have. |
| GuruFocus | 30-year historical fundamentals, value-investor lens, guru holdings | We have shorter history (up to 20yr via XBRL), but we own the cross-border + mining vertical that GuruFocus doesn't touch. |
| Schwab Global Account | Equity execution in 30 foreign markets, dedicated 3rd-party research | We don't execute trades; we're a research layer. We complement Schwab — not compete with it. |
| Perplexity Computer (Feb 2026) | 19 multi-model collaborative AI agents · $20-40/mo · positions as Bloomberg-Terminal alternative · Perplexity CEO has walked back the “Bloomberg killer” framing | Multi-agent collaboration is impressive for general synthesis but still hallucinates on jurisdiction-specific regulation. We compete on verified grounding (415 chunks · refusal-below-0.65-similarity · forced citation per response). Different problem class — Perplexity for “summarize this 10-K,” Quintarth for “does NI 43-101 §2.1 require an updated technical report after a 12% grade revision.” |
| FactSet | Enterprise data terminal, $24K+/yr, deep alt-data sets | Different market entirely. FactSet targets institutional desks. Quintarth at $35-499/mo serves prosumers locked out of FactSet pricing. |
| Fiscal.ai (formerly FinChat.io) | Conversational AI specialised for finance · 2,250+ company-specific KPIs beyond standard financials (subscriber growth, ARPU, same-store sales, booking rates) · $24/$64/mo + free tier | Fiscal.ai's KPI moat is real and we don't match it on US large-caps. Our wedge is cross-border + mining: NI 43-101 grounding, SEDI insider context, FTS calculation, dual-listed FX-arb. Fiscal.ai doesn't track Canadian juniors or mining drill economics. Honest table position: tied on AI; behind on KPI extraction; ahead on regulatory + cross-border. |
| Gainify | 17,600+ users · most feature-rich free tier in market (forever-free, no card) · AI earnings call summaries · top-investor + Congress-insider tracking · $7.99-26.99/mo annual | Gainify's pricing pressure is real. Their free tier covers earnings call summaries we don't ship until Q3 2026. We compete on depth not breadth: a Quintarth user gets cross-border arbitrage, NI 43-101 drill grade math, Blue Sky 50-state checks — none of which Gainify has. Different audiences: Gainify for general retail, Quintarth for cross-border + mining specialists. |
| AlphaSense | Mar 2026: launched custom AI agents + AI-Led Expert Calls (Tegus expert network · neutral AI interviewer · MNPI-safe) · 250K+ expert transcript library · enterprise pricing | AlphaSense is enterprise tier ($24K+/yr typical). Different market. We don't have an expert-call network and won't build one — we ground on regulatory primary sources not expert opinions. AlphaSense's expert calls solve the “industry insider context” problem; we solve the “jurisdiction + filing + drill grade” problem. |
| Bloomberg AskB (Apr 2026) | Bloomberg's natural-language AI agent — their response to the Perplexity threat. Builds investment screens via prompt; navigates 200B+ daily data points · still requires $24K+/yr Terminal seat | Bloomberg AskB confirms that AI-on-top-of-domain-data is the winning architecture — same conclusion we built around in 2026 with Quinn + 415 chunks. AskB's moat is the underlying Terminal data; ours is the regulatory corpus + cross-border vertical at 1/100th the price. |
| Claude for Financial Services (Anthropic, Jun 2025) | Anthropic's purpose-built finance product — Claude with finance-tuned tools, Bring-Your-Own-Data integration, designed for buy-side workflows · enterprise contracts | Claude for Financial Services is platform infrastructure (an LLM plus tools) for institutions to build internal apps. Quintarth is a finished prosumer product with proprietary engines. We use Claude Haiku 4.5 as one of our LLM fallbacks, but our value is what we built on top — the corpus, the engines, the cross-border math. |
| Danelfin | AI Score (1-10) on US + EU equity for retail investors · explainable-AI marketing · subscription tiers $19-49/mo | Danelfin is an alpha-signal product (single-number score). Quintarth is a research workspace. Different unit of work: you'd use Danelfin for a 10-second “is AAPL a buy” signal; you'd use Quintarth for a 30-minute “is this Canadian junior's NI 43-101 economic, what does the SEDI insider tape say, what's the dual-listed arb opportunity” deep-dive. |
Why Quintarthai isn't “just a wrapper around free APIs”
A common critique of new fintech research SaaS: “you're just a UI on top of yfinance + EDGAR.” That critique is fair for many platforms. Here's what Quintarth actually builds, beyond data plumbing:
| Proprietary engine | What it actually does | Why a wrapper can't replicate it |
|---|---|---|
| Quinn Regulatory RAG | Conversational answers grounded on 415 hand-curated chunks across 13 jurisdictions (NI 43-101, S-K 1300, OSC/AMF/ASC, Reg S-K/S-X/D/A+, IFRS 9/15/16, MJDS, Volcker, FCPA, OFAC). | Curating & chunking the corpus took weeks. Tuning retrieval thresholds + refusal behaviour took longer. A wrapper would generate plausible answers; ours cites the source passage every time. |
| Cross-Border Ratio Chart (dual-listed) | Raw bps spread (US vs CA price ratio × 10000) live across dual-listed CA/US issuers. FX adjustment + transaction-cost stack + leg-sizing on V2 roadmap. | Even raw-bps spread visualisation across dual-listed pairs is finance domain logic most platforms don't bother with. We ship the chart now and the cost-stack math next. |
| NI 43-101 Drill Interpreter | Parses drill assay tables, computes grade × thickness, classifies deposit-type-specific economic thresholds (orogenic vs porphyry vs VMS vs IOCG). | Requires geological domain knowledge encoded in code. Generic LLM agents (Perplexity etc.) consistently miss the deposit-type nuance. |
| Form 4 Insider Activity Timeline | Filing-count aggregation from SEC EDGAR — 30d / 90d / 365d cadence with elevated-cadence flag. Per-executive parsing + Green Diamond clustering on roadmap. | Aggregation pipeline is engineering work, not a wrapper. Per-exec parsing planned alongside "Top investor + Congress STOCK Act" integration. |
| VPIN Microstructure | Volume-synchronized Probability of Informed Trading (Easley & O'Hara, 2012). Detects toxic order flow in real time. | Academic algo with non-trivial implementation. Few prosumer platforms bother with this. |
| Composite Intelligence Score | Meta-score aggregating Risk + Fundamental + Momentum + Volume + Insider sub-scores. Deterministic aggregation; sub-sources documented at /legal/ai-transparency.html. | Requires running & maintaining 5 separate scoring engines first. |
| Delisting Risk model | 4-signal model live (price · market cap · 90d drawdown · 30d avg volume) producing a 0-100 score. 12-factor model (float concentration, promotional-language NLP, jurisdiction risk, audit-firm tier, +8 more) in development. | Even the 4-signal model encodes deterministic risk logic that wrapper platforms don't compute. The full 12-factor model is engineering work, not a wrapper. |
Where competitors beat us today — honest gaps
We track AI-fintech competitors weekly. Here's where they're objectively ahead of Quintarth right now — and we're not going to pretend otherwise.
| Capability | Who has it | What we have today | Why we don't have it yet |
|---|---|---|---|
| Earnings-call transcripts + AI summaries | Gainify, Fiscal.ai, AlphaSense, Koyfin, Atom Finance | None. Currently links out to vendor sites for transcripts. | Transcript ingestion was deprioritised behind regulatory RAG. Shipping Q3 2026 (Quinn-summarised, citation-linked). |
| Custom KPI tracking (subscriber growth, ARPU, same-store sales, booking rates) | Fiscal.ai (2,250+ KPIs) | 22 normalized KPIs as of 2026-05-11 (up from 16) — Mkt Cap · P/E TTM+Fwd · EBITDA · Rev + Rev/EPS Growth · 5 Margin types · ROE/ROA · FCF/Op CF · Debt/Cash/D/E · Current+Quick Ratios · Div Yield/Payout. Fiscal.ai's 2,250 KPI count remains aspirational; mining-vertical 50-KPI moat still on Q3 plan. | Partial close 2026-05-11. Long extraction-+-curation effort remains for the deep KPI tail. |
| Top-investor + Congress-insider holdings tracking | Gainify (free tier), Whale Wisdom, Quiver Quant | Partial close 2026-05-11. 13F top-10 institutional holders now live on Charts tab Research section (share count, % held, value, QoQ Δ). Congress STOCK Act tracker still pending Q3 2026. | 13F ingestion shipped earlier than planned; Congress STOCK Act remains Q3 2026. |
| Expert-call network (industry primary research) | AlphaSense + Tegus (250K+ transcripts) | None. | Expert networks require legal + compliance infrastructure (MNPI safeguards). Not pursuing — out of scope for prosumer pricing. |
| 500+ screening filters | Koyfin | 9 filter sections / 13 inputs as of 2026-05-11 (up from 6) — IV-Rank, V/OI, DTE, Mkt Cap, Sharia flag, Cross-border flag, Delisting risk, Price range, ATM IV, Exchange US/CA. | Partial close 2026-05-11. Q3 2026 plan to expand to 50+. Will not match Koyfin's 500+ in 2026 by design — we prioritise filter depth on cross-border attributes over filter breadth. |
| Professional-grade charting (TradingView-class) | TradingView, Koyfin | Lightweight charts + SMA overlays + 12 timeframes (15M-MAX since Apr 2026). | We don't try to displace TradingView. Users keep TradingView open alongside us. |
| Analyst consensus targets | Koyfin, Atom Finance, Stockanalysis, Gainify | Closed 2026-05-11. Live via yfinance — mean / median / high / low / # analysts / buy-hold-sell / upside %. | Shipped via yfinance (not FMP). On Charts tab Research section. |
| Multi-agent collaborative AI | Perplexity Computer (19 models) | Single-agent Quinn (Cerebras qwen-3-235b primary + Groq/Claude fallback). | Quinn-as-orchestrator over specialist sub-agents (regulatory · drill · cross-border · sentiment) is a 2026-Q4 design study. |
Roadmap response — what we're shipping in answer
Honest gaps deserve honest commitments. Here's the schedule:
| Quarter | Shipping | Closes which gap |
|---|---|---|
| Q2 2026 (May-Jun) | ✓ Analyst consensus shipped 2026-05-11 (yfinance, not FMP) · screener filters partial-shipped 2026-05-11 (6→9 sections; full 50+ in Q3) · Quinn multi-step planning (sub-agent prototype) | Analyst targets gap CLOSED · screener gap partial · multi-agent gap |
| Q3 2026 (Jul-Sep) | Earnings-call transcripts + Quinn-summarised highlights · ✓ 13F top-10 holders shipped 2026-05-11; Congress STOCK Act still pending · custom-KPI extractor partial-shipped 2026-05-11 (16→22 KPIs; mining-vertical 50-KPI moat still on plan) | Transcripts gap · top-investor gap partial · KPI gap partial |
| Q4 2026 (Oct-Dec) | Multi-agent Quinn (regulatory · drill · cross-border · sentiment specialists) · Mining-vertical KPI moat (production guidance vs. actuals across 500 mid-cap producers) | Multi-agent gap · positions us ahead of Fiscal.ai on mining-vertical KPIs |
| Q1 2027 | Real-time options chain + flow analysis · expand SEDI behavioural tagging across all CSA jurisdictions · launch /api/ public REST tier (Prime) | Public API gap (currently planned-only) · enriches insider-tape moat |
2026 competitive landscape — AI-first players are reshaping the market
Three structural shifts we're tracking, plus our positioning against each:
| Shift | Evidence | Our position |
|---|---|---|
| 1. AI agents going prosumer-priced ($20-65/mo) | Perplexity Computer (Feb 2026 · $20-40/mo, 19 collaborative AIs) · Fiscal.ai ($24-64/mo · 2,250 KPIs) · Bloomberg responding with AskB (Apr 2026) | Quintarth Trader $35/mo / Apex $249/mo positions in the same band. Our differentiator isn't price — it's the cross-border + mining vertical that none of these target. |
| 2. Multi-agent collaboration is the new frontier | Perplexity Computer's 19-model architecture · AlphaSense's custom AI agents (Mar 2026) · OpenAI / Anthropic computer-use APIs | Quinn is single-agent today. Q4 2026 we're prototyping a Quinn-orchestrator-over-specialists design (regulatory · drill · arb · sentiment specialists). Different architecture: domain-specialist sub-agents not just LLM-collaboration. |
| 3. Free tiers are now feature-rich (race-to-the-bottom on entry) | Gainify free forever · Fiscal.ai free tier · Stockanalysis ad-supported free · Perplexity Finance free | Quintarth Core (free, 10 Quinn queries/day, basic screeners) is competitive on free-tier breadth but not as generous as Gainify. Strategic call: keep free as “wedge” not “product.” |
Threats we acknowledge — and how Quintarth answers them
External analysts have called out four structural risks for retail-research SaaS. We agree they're real. Here's specifically how our architecture is positioned to defend each one.
| Threat | The critique | How Quintarth answers it |
|---|---|---|
| Commoditized data | “If you use yfinance / EDGAR, your data is the same as everyone else's. Pros notice and abandon.” | True for raw quote data — we admit it openly. Our edge is interpretation: NI 43-101 / S-K 1300 / FTS reconciliation, deposit-type-aware drill analysis, dual-listed FX-adjusted spreads. The structure we apply on top of free data is the moat. |
| AI-agent obsolescence (Perplexity, etc.) | “Generalized AI agents will replace dashboards within 18 months.” | Generalized agents hallucinate on regulatory specifics. We deploy a domain-trained 415-chunk RAG across 13 jurisdictions with refusal-below-threshold + citation requirements + tool-call validation. Quinn is built for the “what does NI 43-101 §2.1 say about probable reserves” query type that Perplexity gets wrong consistently. Live 2026-05-10 benchmark vs Multibagg.ai Iris (identical NVDA query): Quinn returns 6 H3 sections (vs Iris 5 H2), with live market-data card + 4 cited sources + provider attribution that Iris lacks. |
| High CAC ($200-700/user) | “Fintech keywords are the most expensive ad inventory online; CAC will eat margins.” | We don't compete on paid search. Our distribution is SEO-first: 10,400+ pre-generated per-ticker landing pages drive long-tail organic traffic. Companion modules: changelog as “product newsletter,” legal/ai-transparency as trust signal, /compare/ as competitor-keyword capture. |
| Workflow entrenchment | “Users won't migrate from Koyfin/TradingView; their watchlists and screens are entrenched.” | We don't fight that fight. Our wedge is cross-border + mining vertical — an underserved niche where Koyfin and TradingView don't have entrenched workflows. NI 43-101 grounding, FTS calc, SEDI insiders, dual-listed arb — users get these only from us. We complement TradingView (charts) rather than replace it. |
| Data licensing economics (Refinitiv etc.) | “You can't afford institutional data feeds, and free data isn't enough.” | We picked a niche where free official sources are enough — SEC EDGAR XBRL + SEDAR+ filings are the canonical source of truth, not a substitute. Where we need real-time market data we use yfinance and disclose latency openly. Refinitiv pricing isn't relevant to our positioning. |
| Capital floor for prosumer SaaS | “Atom Finance burned $28M from SoftBank and still hit walls.” | Atom tried to be a generic retail research platform with a freemium-driven CAC engine. We're vertical-specialist (cross-border NA + mining), bootstrap-funded, SEO-distributed. Different unit economics, different burn rate. |
Recently shipped (Mar - Apr 2026)
A live competitor comparison only stays accurate if it tracks our moving target. Highlights from the last 60 days:
- 2026-05-11 Trading Intelligence overhaul (v0.15.0):
- Charts: 26 technical indicators + 6 Quintarthai-unique differentiators (Confluence Band · Cross-Border Ratio · Sharia Purification badge · Quinn AI Auto-Apply · Auto Pattern Recognition · Adaptive RSI) + 3 trader-archetype templates (Day/Swing/LEAP). Auto-generated Trade Plan with 4-rung R:R ladder.
- Research: Analyst consensus targets (yfinance, 42-analyst depth for AAPL) · 22 fundamental KPIs (was 16) · Top 10 institutional holders with quarter-over-quarter delta.
- News: V1 sentiment scoring (bullish/bearish/neutral) + per-symbol relevance badges.
- Filings: Form 4 insider activity timeline (30d/90d/365d cadence) · 10-Q context diff (8-K events between quarterly filings).
- Onchain: Hash rate, 24h-transactions, DeFi/ETH ratio bugs fixed (blockchain.info → api.blockchain.info migration).
- Microstructure: Full VPIN suite + Toxicity + Order Flow + Participant Profiling.
- Tab consolidation: 24 → 15 tabs with merged Risk / Equity / Heatmap / Journal sections, plus new Settings tab.
- Quinn (host LLM): SP1-SP8 sprint shipped — surrogate-strip, Ollama 60s→300s timeout, nginx 120s→320s, markdown ###/#### + scaffold strip, dedup ai_section, verbosity boost. Live measurements vs Iris (2026-05-10): 6 H3 sections (vs Iris 5), live data card + 4 cited sources + provider attribution that Iris lacks.
- v0.14.0 (Apr 25): Quinn primary inference migrated to Cerebras qwen-3-235b for higher throughput; Groq Llama 3.3 70B fallback. Corpus expanded to 415 chunks.
- v0.13.0 (Apr 24): Compliance trust strip (HSTS preload · nonce CSP · PIPEDA · Quebec Law 25 · auth-gated APIs · Canadian infrastructure). AI transparency v2 with per-engine architecture/training/limits.
- v0.12.0 (Apr 16): 10,400+ per-ticker SEO landing pages, RSS news cache, /compare/ page (this page) launched.
- v0.11.0 (Apr 5): PWA installable + VAPID Web Push for price/filing alerts. Public /status page with 30-day uptime history.
- v0.10.0 (Mar 18): Trading Intelligence SPA at /trading/ — Market Risk + VIX + Regime + VPIN + on-chain + multi-factor research + backtester. Form 4 insider ingest (hourly). Filing-alert scanner (5-min). Composite Intelligence Score.
- 2026-04-27 re-audit: 17 of 28 audit findings shipped including long-term chart timeframes (1W/1M/6M/1Y/5Y/10Y/20Y/MAX) in Trading Intelligence Charts (was: intraday-only).
- 2026-04-28 /compare/ v2: added 6 new 2026 competitors (Fiscal.ai · Gainify · AlphaSense · Bloomberg AskB · Claude for Financial Services · Danelfin · Perplexity Computer refresh) · added "Honest gaps" section · added Q2-Q4 2026 + Q1 2027 roadmap commitments · added 2026 competitive landscape analysis (AI-first prosumer pricing · multi-agent collaboration · free-tier race).
When Quintarthai is the right choice
- You want institutional-grade per-symbol research — analyst consensus + 22 KPIs + 13F top-holders + 10-Q diff context — without paying Bloomberg-Terminal prices.
- You research Canadian-listed names (TSX / TSX-V) and need SEDAR+ / SEDI in the same workflow as EDGAR.
- You do cross-border arbitrage or want dual-listed spread context before trading.
- You evaluate mining juniors and need NI 43-101 / S-K 1300 grounding on demand.
- You want compliance primitives (Blue Sky checker, FTS calculator, warrant tracking) native in the tool.
- You want an AI research assistant trained on regulatory corpora, not a general-purpose chatbot.
When something else might fit better
- If you only research US names and want a single platform with 20+ years of full-coverage fundamentals across all line items, Koyfin or Atom Finance have more uniform depth today (we offer up to 18-20 years for core US issuers via SEC XBRL, but field coverage varies by issuer and reporting history).
- If you want 500+ screener filters right now, Koyfin is ahead. (We're expanding to 50+ in Q3 2026.)
- If you want professional-grade charting with dozens of indicators, Koyfin's charting is stronger.
- If you need earnings-call transcripts today, all three competitors beat us. We ship transcripts + LLM summaries in Q3 2026.
Still deciding? Start on the free Core plan, kick the tires on the cross-border features above, and upgrade only if they're useful. 10 Quinn queries a day, no card required.