trading chat
@tradingchaat
Assalam O Alaikum, In this channel , i will be telling you all about trading. Market analysis and market update. Charts ,cryptocurrency, forex ,stocks. Technical Analysis and Fundamentals. Join with my MEXC Referral code and exness referral code and enjoy free trades. All links available .just click in links below. V.IMP NOTE: This is my personal analysis. This is how i take my trades. I am not a financial advisor. please do your own research before taking further step as i am unfamiliar with your financial background.
13.1K
Subscribers
219.9K
Total views
261
Videos
—
Avg views (recent)
not yet captured
Estimated rate · Integrated video
Subs-based fallback · Low confidenceLow
$93
Typical
$114
High
$155
- Niche CPM
- $45–75anchor $55
- Avg views
- 2,070tier-based estimate
- Format mult
- 1.00×
- Exclusivity
- No exclusivitybaseline
Estimated · benchmark only · not claimed by creator. View count not yet captured — tier-based fallback (low confidence). How this works →
Influence profile
Display only · not a price inputAbout trading chat
Trading Chat, operating under the handle @tradingchaat on YouTube, is a creator based in Pakistan specializing in finance content. The channel primarily focuses on various aspects of trading, including market analysis, market updates, and discussions on charts. Content spans across cryptocurrency, forex, and stocks, with an emphasis on both technical and fundamental analysis. The creator has published 261 videos to date, accumulating a total of 219,873 views. With 13,100 subscribers, Trading Chat is categorized within the finance niche, with a secondary focus on cryptocurrency. The channel's bio indicates a disclaimer that the content represents personal analysis and is not financial advice, encouraging viewers to conduct their own research. This positioning aligns with a segment of the finance creator economy that prioritizes educational content while managing regulatory and advisory boundaries.
trading chat's estimated sponsorship rates
The estimated rate for a sponsored video integration on the @tradingchaat YouTube channel ranges from $93 to $155, with a typical rate around $114. This pricing places Trading Chat within the nano-tier audience classification. The rate is influenced by several factors, including the channel's niche, audience size, and engagement metrics. The finance category generally commands a higher CPM band, estimated between $45 and $75, with an anchor CPM of $55. This elevated CPM reflects the value advertisers place on reaching an audience interested in financial topics, which often correlates with higher disposable income or investment potential. While the subscriber count of 13,100 is a primary determinant, the specific format (video integration) and the platform (YouTube) also contribute to the final rate calculation. The estimated views used for this calculation are 2,070, based on a subscriber fallback model, indicating a low confidence level in the view count history due to current data availability. For a detailed breakdown of how these rates are calculated, including the specific algorithmic components, please refer to our /methodology page.
Who should partner with trading chat?
The audience for @tradingchaat primarily consists of individuals interested in finance, with a specific focus on trading, cryptocurrency, forex, and stock markets. Given the channel's content, potential brand categories for collaboration include fintech applications, online brokerage platforms, cryptocurrency exchanges, and educational services related to financial literacy and trading strategies. The creator's base in Pakistan suggests a significant portion of the audience may reside in the APAC region, though specific geographic distribution data is not yet available. The channel's engagement with technical and fundamental analysis indicates an audience seeking practical insights into market movements and investment decisions. In the broader finance niche, peers such as IG Singapore and Equity Empire also cater to similar segments, focusing on market analysis and investment education. The explicit mention of referral codes for platforms like MEXC and Exness in the channel's bio further highlights an audience open to exploring trading platforms and financial tools. This demographic is typically analytical and actively seeking information to inform their financial decisions.
trading chat's growth and performance
Trading Chat's subscriber growth data currently spans a limited period. The channel was first tracked on 2026-05-27, at which point it had 13,100 subscribers. The latest snapshot, also taken on 2026-05-27, shows the same subscriber count of 13,100. This indicates a delta of +0 subscribers over a one-day tracking period. We do not yet have historical data to analyze long-term subscriber trends or significant growth spurts. Similarly, average views for the last 30 days are not available at this time. Future tracking will provide more comprehensive data on subscriber accumulation and view count performance over extended periods, allowing for a more detailed analysis of the channel's growth trajectory within the finance and crypto categories.
How our pricing estimate works for trading chat
The estimated pricing for a sponsored integration on @tradingchaat is generated through an algorithmic model designed to provide a data-driven valuation. This estimate, ranging from $93 to $155, is derived by considering several key factors. The primary components include the creator's subscriber count, which is 13,100, multiplied by an estimated niche CPM (Cost Per Mille). For the finance category, the niche CPM band is set between $45 and $75, with an anchor of $55, reflecting the higher value associated with this audience segment. Platform-specific multipliers for YouTube and format-specific multipliers for video integrations are also applied. The model utilizes an estimated view count of 2,070, which in this instance is based on a subscriber fallback due to the absence of historical view data, resulting in a low confidence score for this specific input. This approach ensures that even with limited historical data, a reasonable market estimate can be provided. For a comprehensive explanation of our pricing algorithms, data inputs, and confidence scoring, please visit our detailed methodology page at /methodology.