Investing & markets Creators on X (Twitter): 306 Indexed

This is the pool of Investing & markets creators on X (Twitter) within Finance — 306 of them. The narrower the niche, the higher the reply rate; searching broadly for "Finance creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• 100% have recent content captured for judgement versus 41% overall — better-evidenced than average.
• Average authenticity is 66/100 against 55/100 index-wide, with fewer bought-follower signals than average.
• 20% publish an email or IM handle against 7% index-wide — easier to reach directly 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

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

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

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

• TENET RESEARCH (@tenet_research) — Trading psychology under pressure

• Koroush AK (@KoroushAK) — Momentum vs mean reversion trading bets

• Faka 🇧🇷🇧🇷🇮🇱🇺🇸🇱🇧 (@opropriofaka) — Giro do Mercado podcast

• Rand Group (@randgroup) — Crypto and stock price action with technical setups

• Tradingan (@tradingans) — Panduan dasar saham

• 5Días (@5DiasPy) — Economic and business news

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.

Top 6 countries

Why this niche deserves its own view

"Investing & markets" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.