Trading for Everyone TFE - Aprende a Invertir
YouTubefinanceAR

Trading for Everyone TFE - Aprende a Invertir

@tradingforeveryone

✔️ Reviews de PLATAFORMAS, FINTECHS, CRIPTOMONEDAS y mucho mas!!! La información aquí contenida se expone a título meramente informativo (con fines educativos) y no constituye una recomendación de inversión, ni invitación, oferta, solicitud u obligación por parte de Trading for Everyone ni de ninguno de sus miembros, para llevar a cabo operación o transacción alguna. Dicha información tampoco es un reflejo de posiciones. No intermediamos de ningún modo ni por ningún medio en la compra / venta de activos en ningún mercado. Cada inversor es responsable de su capital. No asesoramos, no brindamos señales ni recomendaciones.

163K

Subscribers

14M

Total views

895

Videos

168

Avg views (recent)

15-video sample · 2026-07-23

Estimated rate · Integrated video

Avg views · niche CPM · High confidence

Low

$8

Typical

$9

High

$13

Niche CPM
$45–75anchor $55
Avg views
168per recent video
Format mult
1.00×
Exclusivity
No exclusivitybaseline

Estimated · benchmark only · not claimed by creator. How this works →

Influence profile

Display only · not a price input
Size tier
Mid (100K–500K)
Activity
Low activityratio 0.001 · n=15
Niche
Finance
Country · language
Argentina· es
US equities coverage
Tracked
SEC §17(b) disclosure
Not assessed

About Trading for Everyone TFE

Trading for Everyone TFE - Aprende a Invertir, operating under the handle @tradingforeveryone on YouTube, is a finance-focused creator based in Argentina. The channel specializes in content related to financial platforms, fintech solutions, and cryptocurrencies. With 163,000 subscribers and a total view count of 13,839,485 across 844 published videos, the channel provides educational content in the personal finance and investment space. The creator's bio indicates a focus on reviews of various financial tools and digital assets, explicitly stating that the information provided is for educational purposes and does not constitute investment advice or a solicitation for transactions. This disclaimer emphasizes the channel's role as an informational resource rather than an intermediary or advisor in financial markets. The content aims to inform viewers about different aspects of investing, particularly within the rapidly evolving fintech and cryptocurrency sectors.

Trading for Everyone TFE's estimated sponsorship rates

The estimated rate for an integrated video on the Trading for Everyone TFE - Aprende a Invertir channel ranges from $1,364 to $2,274, with a typical rate around $1,667. This pricing is influenced by several factors, including the channel's audience size of 163,000 subscribers, which places it in the mid-tier for creator reach. The primary category of finance, with a secondary focus on crypto, commands a higher niche CPM band, estimated between $45 and $75, with an anchor CPM of $55. This higher CPM reflects the value brands place on reaching an audience interested in financial services, investment products, and digital assets. The rate calculation also considers the platform (YouTube) and the video format (integrated content). While specific average views for the last 30 days are not available, the pricing model utilizes a subscriber-fallback view estimate of 30,318 views, indicating a low confidence level in this particular view metric due to limited historical data. For a detailed breakdown of how these rates are calculated, including the specific algorithmic formula, readers are directed to the /methodology page.

Who should partner with Trading for Everyone TFE?

The audience for Trading for Everyone TFE - Aprende a Invertir primarily consists of individuals interested in finance, fintech, and cryptocurrency, predominantly from Argentina. The channel's content, which includes reviews of financial platforms and discussions on digital assets, attracts viewers seeking educational insights into investment opportunities and personal finance management. Brands in categories such as fintech apps, online brokerages, cryptocurrency exchanges, and personal-finance education platforms would find this audience particularly relevant. The channel's focus on practical reviews and educational disclaimers suggests an audience that values informed decision-making in their financial activities. In the broader finance niche, other creators like 何基鼎分析師-摩爾證券投顧 (@gd1788) and 웅덩이매매법 디벨롭몽 - 미국주식 (@developmong) cater to similar demographics interested in investment analysis and market insights. The engagement with content on specific platforms and digital currencies indicates a demographic actively exploring new financial technologies and investment vehicles.

Trading for Everyone TFE's growth and performance

Trading for Everyone TFE - Aprende a Invertir was first tracked on 2026-05-28, at which point the channel had 163,000 subscribers. The latest snapshot, also taken on 2026-05-28, shows the subscriber count remaining at 163,000. Over this one-day tracking span, there has been no recorded change in subscriber count, resulting in a delta of +0 subscribers. We do not yet have view-count history or average views for the last 30 days to provide a more comprehensive analysis of recent growth trends. Future snapshots will allow for a more detailed assessment of subscriber and view growth over time, providing insights into the channel's trajectory within the finance and crypto content space.

How our pricing estimate works for Trading for Everyone TFE

The algorithmic price estimate for Trading for Everyone TFE - Aprende a Invertir is derived through a proprietary model that considers multiple data points. This estimate is based on the channel's subscriber count, categorized within a specific niche CPM (Cost Per Mille) band, and adjusted by platform and content format multipliers. The finance and crypto niche, for instance, typically commands a higher CPM due to the specialized interest of its audience. The current estimate utilizes a subscriber-fallback view count of 30,318, which serves as a basis when more granular view history is unavailable. It is important to note that this is an algorithmic projection and not a fixed rate. The confidence level for the view count basis is currently low due to limited historical data. For a comprehensive explanation of the factors, formulas, and data sources used in generating these creator rate estimates, please refer to our detailed methodology page at /methodology.