Fiscal.ai adds Data Visualizations, Stock Comparison, Portfolio, Watchlist, Alerts, Calendar, Dividends, Splits, Financials, Transcripts, ETF Overview, ETF Holdings, ETF Performance, Analyst Forecasts, Analyst Recommendations, Analyst Price Targets, Insider Data, Institutional Data, 13F, and Valuation Models coverage that QuantRocket skips.
VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Monday, October 6, 2025
Head-to-head
Fiscal.ai vs QuantRocket comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
QuantRocket includes Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, and Broker Connectors categories that Fiscal.ai omits.
Fiscal.ai highlights: Global market coverage for more than 100,000 stocks, ETFs, and funds., Detailed company fundamentals including segments and KPIs for over 2,000 firms, with historical depth expanding by plan tier., and AI Copilot and automated summaries to speed up research; monthly prompt allowances scale with subscription level, with custom summaries on higher tiers..
QuantRocket is known for: Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca., Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter., and Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets..
Fiscal.ai ships a mobile app. QuantRocket is web/desktop only.
Fiscal.ai
fiscal.ai
A global equities and funds data platform enhanced with AI-driven summaries and Copilot tools. Features range from screeners and dashboards to analyst estimates, ownership datasets, and filings. Plans are gated by data history, AI prompt limits, event counts, and export access. Enterprise unlocks click-through auditability into source filings and U.S. as-reported views, with exports rolling out internationally. The API provides fundamentals, KPIs, and delayed pricing. SOC 2 Type II certified with a public status page.
Categories
Platforms
Pricing
Quick highlights
- Global market coverage for more than 100,000 stocks, ETFs, and funds.
- Detailed company fundamentals including segments and KPIs for over 2,000 firms, with historical depth expanding by plan tier.
- AI Copilot and automated summaries to speed up research; monthly prompt allowances scale with subscription level, with custom summaries on higher tiers.
- Analyst data including forward estimates, revisions, price targets, and ratings.
- Investor-relations coverage with earnings call audio, transcripts, slide decks, filings, and corporate events, with higher tiers removing event caps.
Community votes (overall)
QuantRocket
quantrocket.com
A Docker-based research, backtesting, and live-trading platform built around Jupyter. The free tier is limited to research, while paid plans unlock live and paper trading along with bundled US minute-bar data. Broader global datasets are available via third-party providers. Its tight IBKR integration brings advanced order types, while real-time market data can be streamed from IBKR, Polygon, or Alpaca.
Categories
Platforms
Pricing
Quick highlights
- Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca.
- Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter.
- Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets.
- Deep IBKR integration enabling advanced order types such as algorithmic, parent-child, and bracket orders, as well as combos/spreads, margin 'what-if' checks, option greeks, and auction imbalance data.
- Streams tick-level data into TimescaleDB with WebSocket access, and allows flexible bar aggregation.
Community votes (overall)
Shared focus areas
2 overlapsMutual strengths include Screeners, and Data APIs.
Where they differ
Fiscal.ai
Distinct strengths include:
- Global market coverage for more than 100,000 stocks, ETFs, and funds.
- Detailed company fundamentals including segments and KPIs for over 2,000 firms, with historical depth expanding by plan tier.
- AI Copilot and automated summaries to speed up research; monthly prompt allowances scale with subscription level, with custom summaries on higher tiers.
- Analyst data including forward estimates, revisions, price targets, and ratings.
QuantRocket
Distinct strengths include:
- Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca.
- Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter.
- Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets.
- Deep IBKR integration enabling advanced order types such as algorithmic, parent-child, and bracket orders, as well as combos/spreads, margin 'what-if' checks, option greeks, and auction imbalance data.
Feature-by-feature breakdown
Attribute | Fiscal.ai | QuantRocket |
---|---|---|
Categories Which research workflows each platform targets | Shared: Screeners, Data APIs Unique: Data Visualizations, Stock Comparison, Portfolio, Watchlist, Alerts, Calendar, Dividends, Splits, Financials, Transcripts, ETF Overview, ETF Holdings, ETF Performance, Analyst Forecasts, Analyst Recommendations, Analyst Price Targets, Insider Data, Institutional Data, 13F, Valuation Models | Shared: Screeners, Data APIs Unique: Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, Broker Connectors |
Asset types Supported asset classes and universes | Stocks, ETFs, Mutual Funds | Stocks, ETFs, Futures, Currencies, Options |
Experience levels Who each product is built for | Beginner, Intermediate, Advanced | Beginner, Intermediate, Advanced |
Platforms Where you can access the product | Web, Mobile, API | Web, API |
Pricing High-level pricing models | Free, Subscription | Free, Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Yes | Not yet |
Editor pick Featured inside curated shortlists | Highlighted | Standard listing |
Frequently Asked Questions
Which workflows do Fiscal.ai and QuantRocket both support?
Both platforms cover Screeners, and Data APIs workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do Fiscal.ai and QuantRocket require subscriptions?
Both Fiscal.ai and QuantRocket keep freemium access with optional paid upgrades, so you can trial each platform before committing.
Which tool has mobile access?
Fiscal.ai ships a dedicated mobile experience, while QuantRocket focuses on web or desktop access.
What unique strengths set the two platforms apart?
Fiscal.ai differentiates itself with Global market coverage for more than 100,000 stocks, ETFs, and funds., Detailed company fundamentals including segments and KPIs for over 2,000 firms, with historical depth expanding by plan tier., and AI Copilot and automated summaries to speed up research; monthly prompt allowances scale with subscription level, with custom summaries on higher tiers., whereas QuantRocket stands out for Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca., Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter., and Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets..
Keep exploring
Stay on top of related tools
Browse the categories and profiles that overlap most with this comparison to round out your shortlist.
Related categories
Follow the same themes these tools compete in.
Recommended tools
These profiles share overlapping coverage with both sides of this matchup.
- TrendlyneHands-on review
Overlap: Screeners, Analyst Forecasts, and Analyst Price Targets.
ScreenersAnalyst ForecastsAnalyst Price Targets - Seeking AlphaEditor's pickHands-on review
Overlap: Screeners, Stock Comparison, and Data Visualizations.
ScreenersStock ComparisonData Visualizations - Stock RoverEditor's pickHands-on review
Overlap: Screeners, Stock Comparison, and Data Visualizations.
ScreenersStock ComparisonData Visualizations - TipRanksEditor's pickHands-on review
Overlap: Screeners, Analyst Forecasts, and Analyst Recommendations.
ScreenersAnalyst ForecastsAnalyst Recommendations - Stock UnlockHands-on review
Overlap: Screeners, Data Visualizations, and Stock Comparison.
ScreenersData VisualizationsStock Comparison - Nasdaq.comHands-on review
Overlap: Screeners, Portfolio, and Watchlist.
ScreenersPortfolioWatchlist
Curation & Accuracy
This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.