Finance Creators on X (Twitter): 1,207 Indexed, 298 Grade A

Koinon Link currently indexes 1,207 Finance creators on X (Twitter). Below is the real structure of that pool — not the platform at large, but what is left after filtering.

How this slice differs from the index as a whole

• 100% have recent content captured for judgement versus 41% overall — better-evidenced than average.
• 32% publish an email or IM handle against 7% index-wide — easier to reach directly than average.
• Average authenticity is 64/100 against 55/100 index-wide, with fewer bought-follower signals than average.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• Economic Times (@EconomicTimes) — Indian economy and large investments

• Bitcoin.com News (@BitcoinNews) — Bitcoin price movements and market data

• Business Standard (@bsindia) — 1991 economic reforms and state role

• Lark Davis (@LarkDavis) — Bitcoin and crypto market analysis

• BSCN (@BSCNews) — Stablecoin adoption on XRP Ledger and Stellar

• Coin Bureau (@coinbureau) — Bitcoin price and market cap updates

• Bri Teresi (@briteresi) — Bitcoin as solution to debt crisis

• El Economista (@eleconomista) — economy and finance

• Steve Burns (@SJosephBurns) — Technical trading rules and chart patterns

• FX Team_Nasdaq/S&P500/US stock pick Trades (@DavidKWilliams) — US equity trading

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Breakdown by sub-niche

Top 6 countries

What to look at first on X (Twitter)

Follower count is the least useful thing to sort by. Median followers for Finance creators on X (Twitter) is 5,964, meaning half the pool is smaller than that — and what actually decides whether a campaign works is whether their audience is your customer.

A practical order: (1) narrow by sub-niche first (the largest segments above); (2) then check authenticity — this pool averages 64/100, and anything well below that deserves a look at whether follower growth came in vertical steps; (3) contactability last — 32% publish contact details on X (Twitter), and a low share is normal since DMs remain the main channel.

Why 187 accounts sit in quarantine

These accounts look fine on follower count, but their follower structure or engagement ratio shows clear anomalies. They are not deleted — just moved out of default results, so budget does not go to bought audiences. That is also why "creators indexed" above is smaller than the raw crawl.