Holder Dashboard vs OptionSpace

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Holder Dashboard compared with OptionSpace
Detail	Holder Dashboard	OptionSpace
What it does	Historical fundamental stock rankings for US-listed companies	Volatility data and research tools powered by a market-maker-grade fitting and pricing engine
Stage	Not given	Not given
Founded	Not given	Not given
Based in	BR	US
Pricing model	Freemium	Freemium
Pricing	Free: Public Archive through 2021. Founding membership: $99/year (locked price until October 31, 2026). Standard annual membership: $149/year. Monthly plan: $19/month.	Free sample plan with no card required. Retail subscription available for individual personal use in the United States with daily limits on API credits. Institutional plans available at contact pricing for any business use with annual licenses invoiced monthly via ACH or wire. Higher-frequency data
Key features	Historical fundamental rankings from 1996 through 2021 HDB Score composite metric Compare up to four companies side by side Tenure rankings measuring consistency Portfolio research shortlist for members Current and recent rankings for members	Fitted volatility surfaces with bid-ask-weighted curves across every expiration Accounts for American-style options with early exercise, discrete dividends, and implied borrow rates One-minute granularity historical data across 140+ symbols spanning 10 years Realized volatility calculations from 385 intraday returns per day Vol Screener, Vol Premium, Skew Scanner, and Earnings Vol analysis tools Historical simulation using actual bid-ask prices and fitted vol surfaces Python package for research workflows Interactive visual dashboards for surface inspection and event studies Model Context Protocol (MCP) integration for AI agent workflows Greeks and constant-maturity metrics via API and dashboards
What makes it different	26 years of free historical data through 2021 requires no account Proprietary HDB Score algorithm based on historical fundamentals Built independently with publicly documented methodology Focuses on fundamental consistency rather than predicting returns	Arbitrage-free fitted volatility wings extending beyond quoted book using Lee-moment discipline Accessible to quantitative researchers and AI workflows through Python, API, and MCP without requiring market-maker infrastructure 10 years of consistent historical data at one-minute granularity across 140+ symbols for rigorous backtesting
Community votes	0	0
DR (Domain Rating by Ahrefs)	2 +1 (up) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	2	0
Citation Flow (Majestic)	27	0
Referring domains (Majestic)	51	0

6 details filled in for both companies.

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