Ocs Ai Trader
YouTubeIN

Ocs Ai Trader

@ocs.ai.trader

𝑶𝒄𝒔 𝑨𝒊 𝑻𝒓𝒂𝒅𝒆𝒓 serves as an excellent trading / investing copilot by providing real-time Strengths and Weakness with predictive analytics, and personalized trade simulations. This empowers users to make informed trading decisions, optimize trading strategies, and manage risks effectively, enhancing their overall trading experience Here's our website https://ocstrader.com/ Mail : ankit@ocstrader.com ⚠️ Disclaimer : The information and publications by this channel are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by us as a youtube channel. This is just an AI experiment and the trades are being simulated by a Large Action Ai Trading Model ! Please do your own research and always consult a registered financial advisor before making an investment / trading decision

78.2K

Subscribers

14.1M

Total views

101

Videos

1.2K

Avg views (recent)

15-video sample · 2026-07-23

About Ocs Ai Trader

Ocs Ai Trader, operating under the handle @ocs.ai.trader on YouTube, is a finance-focused creator based in India. The channel specializes in content related to trading and investing, positioning itself as a resource for predictive analytics, real-time market insights, and personalized trade simulations. With 100 videos published, Ocs Ai Trader has accumulated a total of 11,679,610 views and a subscriber base of 67,000. The channel's content aims to empower users to make informed trading decisions, optimize their strategies, and manage risks effectively. While the primary language is not specified, the channel's bio emphasizes its role as a 'trading / investing copilot' providing 'Strengths and Weakness' analysis. The creator maintains an associated website, ocstrader.com, and provides a direct contact email for business inquiries. A disclaimer on the channel clarifies that its content does not constitute financial, investment, trading, or other types of advice or recommendations.

Ocs Ai Trader's estimated sponsorship rates

The estimated rate for a sponsored video integration on the Ocs Ai Trader YouTube channel ranges from $519 to $864, with a typical rate around $634. This estimate places Ocs Ai Trader within the micro-tier for audience size. The pricing is influenced by a niche CPM band of $45-$75, with an anchor CPM of $55, reflecting the high value often associated with finance-related content. The calculation considers an estimated 11,524 views, derived from a subscriber fallback basis due to the absence of recent average view data. Factors that contribute to this rate include the channel's specialization in finance, a category known for attracting advertisers seeking engaged audiences with disposable income or investment interests. The specific format of a YouTube video integration, combined with the channel's focus on tools like predictive analytics and trade simulations, can command a premium compared to broader content categories. For a detailed breakdown of how these rates are calculated and the various multipliers applied, interested parties are directed to the /methodology page.

Who should partner with Ocs Ai Trader?

Ocs Ai Trader's audience of 67,000 subscribers is primarily interested in finance, with a specific focus on trading and investing. This demographic is likely composed of individuals seeking to enhance their trading strategies, manage investment risks, and leverage predictive analytics for market decisions. Brands in categories such as fintech apps, online brokerage platforms, investment education services, and financial software providers would find this audience particularly relevant. The channel's content, which includes real-time market analysis and trade simulations, appeals to both novice and experienced traders looking for tools and insights to optimize their financial performance. Within the finance niche, Ocs Ai Trader's subscriber count is comparable to peers such as Two Dollars Investing (@2dollarsinvesting) with 66,700 subscribers and Rational Investing with Cameron Stewart, CFA (@cstewartcfa) with 66,100 subscribers, indicating a consistent audience size for this specialized content area. The engagement with content centered on 'Strengths and Weakness' analysis and 'personalized trade simulations' suggests an audience actively seeking actionable financial intelligence.

Ocs Ai Trader's growth and performance

Ocs Ai Trader's subscriber growth data currently provides a limited historical view. The channel was first tracked on 2026-06-02 with 67,000 subscribers. As of the latest snapshot, also on 2026-06-02, the subscriber count remained at 67,000. This indicates a delta of +0 subscribers over a one-day tracking period. We do not yet have a view-count history or average views for the last 30 days to provide a more comprehensive analysis of recent engagement trends. Future tracking will provide a more extensive dataset to analyze subscriber growth patterns and overall channel performance over time. The current data reflects a stable subscriber count within the initial tracking window.

How our pricing estimate works for Ocs Ai Trader

The estimated pricing for Ocs Ai Trader's sponsored content is generated through an algorithmic model developed by InfluencerUnion. This model takes into account several key variables, including the creator's subscriber count, the average CPM (Cost Per Mille) for their specific content niche (finance), and platform-specific multipliers for YouTube video integrations. For Ocs Ai Trader, the finance niche is assigned an anchor CPM of $55, within a band of $45-$75, reflecting the typical value advertisers place on reaching this specialized audience. The calculation also incorporates an estimated view count of 11,524, which in this instance is derived from a subscriber fallback basis due to the unavailability of recent average view data. This approach provides a data-driven estimate of potential compensation for brand collaborations. For a comprehensive explanation of the formulas, data sources, and various factors influencing these algorithmic price estimates, please refer to our detailed methodology page at /methodology.