VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Saturday, September 27, 2025
Investors comparing FDIC — BankFind Suite (Institutions & API) and QuantRocket will find that Both FDIC — BankFind Suite (Institutions & API) and QuantRocket concentrate on Data APIs workflows, making them natural alternatives for similar investment research jobs. FDIC — BankFind Suite (Institutions & API) leans into Financials, Acquisitions, and Regulatory Filings Monitoring, which can be decisive for teams that need depth over breadth. QuantRocket stands out with Screeners, Quant, and Backtesting that the competition lacks. Use the feature-by-feature table to inspect unique capabilities and confirm which roadmap best maps to your process.
Head-to-head
FDIC — BankFind Suite (Institutions & API) vs QuantRocket
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
- FDIC — BankFind Suite (Institutions & API) adds Financials, Acquisitions, and Regulatory Filings Monitoring coverage that QuantRocket skips.
- QuantRocket includes Screeners, Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, and Broker Connectors categories that FDIC — BankFind Suite (Institutions & API) omits.
- FDIC — BankFind Suite (Institutions & API) highlights: Search institutions by name, FDIC certificate (CERT), website, and/or location; coverage for current and former FDIC‑insured banks reaching back to 1934., Datasets/endpoints: Institutions, Locations (branches), History (structural events), Failures & Assistance, Financials (call‑report metrics), Summary (annual aggregates), SOD (Summary of Deposits), and Demographics., and REST API with JSON or CSV output; Elastic Query String filter syntax (phrase matching, boolean logic, ranges); default result limit is 10, with a maximum of 10,000 per call plus `offset` for pagination..
- 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..
FDIC — BankFind Suite (Institutions & API)
banks.data.fdic.gov
Official FDIC hub to search FDIC‑insured institutions and programmatically pull institution demographics, branch locations, structural events (mergers/changes), failures & assistance transactions, Summary of Deposits (SOD), and financials. BankFind exposes a public REST API with JSON/CSV output and Elastic‑style filter syntax. Demographic data update weekly; financial data quarterly; SOD is annual (as of June 30). Keys are supported but currently not required. Bulk downloads limit: one quarter for financials and one year for SOD per request.
Platforms
Pricing
Quick highlights
- Search institutions by name, FDIC certificate (CERT), website, and/or location; coverage for current and former FDIC‑insured banks reaching back to 1934.
- Datasets/endpoints: Institutions, Locations (branches), History (structural events), Failures & Assistance, Financials (call‑report metrics), Summary (annual aggregates), SOD (Summary of Deposits), and Demographics.
- REST API with JSON or CSV output; Elastic Query String filter syntax (phrase matching, boolean logic, ranges); default result limit is 10, with a maximum of 10,000 per call plus `offset` for pagination.
- ‘Common Financial Reports’ starter workbook and interactive docs to craft queries; field lists/definitions via YAML + glossary.
- Bulk data: download helpers and constraints (e.g., single quarter for financials; single year for SOD) to keep payloads manageable.
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.
Shared focus areas
Both platforms align on these research themes, so you can stay within one workflow when your use case involves them.
Where they differ
FDIC — BankFind Suite (Institutions & API)
Distinct strengths include:
- Search institutions by name, FDIC certificate (CERT), website, and/or location; coverage for current and former FDIC‑insured banks reaching back to 1934.
- Datasets/endpoints: Institutions, Locations (branches), History (structural events), Failures & Assistance, Financials (call‑report metrics), Summary (annual aggregates), SOD (Summary of Deposits), and Demographics.
- REST API with JSON or CSV output; Elastic Query String filter syntax (phrase matching, boolean logic, ranges); default result limit is 10, with a maximum of 10,000 per call plus `offset` for pagination.
- ‘Common Financial Reports’ starter workbook and interactive docs to craft queries; field lists/definitions via YAML + glossary.
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 | FDIC — BankFind Suite (Institutions & API) | QuantRocket |
|---|---|---|
Categories Which research workflows each platform targets | Shared: Data APIs Unique: Financials, Acquisitions, Regulatory Filings Monitoring | Shared: Data APIs Unique: Screeners, Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, Broker Connectors |
Asset types Supported asset classes and universes | Other, Stocks | 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, API | Web, API |
Pricing High-level pricing models | Free | Free, Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Not yet | Not yet |
Editor pick Featured inside curated shortlists | Standard listing | Standard listing |
Frequently Asked Questions
Which workflows do FDIC — BankFind Suite (Institutions & API) and QuantRocket both support?
Both platforms cover Data APIs workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do FDIC — BankFind Suite (Institutions & API) and QuantRocket require subscriptions?
Both FDIC — BankFind Suite (Institutions & API) and QuantRocket keep freemium access with optional paid upgrades, so you can trial each platform before committing.
How can you access FDIC — BankFind Suite (Institutions & API) and QuantRocket?
Both FDIC — BankFind Suite (Institutions & API) and QuantRocket prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.
What unique strengths set the two platforms apart?
FDIC — BankFind Suite (Institutions & API) differentiates itself with Search institutions by name, FDIC certificate (CERT), website, and/or location; coverage for current and former FDIC‑insured banks reaching back to 1934., Datasets/endpoints: Institutions, Locations (branches), History (structural events), Failures & Assistance, Financials (call‑report metrics), Summary (annual aggregates), SOD (Summary of Deposits), and Demographics., and REST API with JSON or CSV output; Elastic Query String filter syntax (phrase matching, boolean logic, ranges); default result limit is 10, with a maximum of 10,000 per call plus `offset` for pagination., 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..
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.