HJTrades
YouTubefinanceUS

HJTrades

@hjtradesofficial

This channel is a trader's dream. We cut the BS and go straight to what's important. Stock market updates are posted 5 days a week. A daily update Monday through Thursday around 6-7pm est and then a weekly update every Saturday. What we cover: 1. SPY and QQQ 2. Magnificent 7 stocks 3. Trade ideas

18.4K

Subscribers

2.04M

Total views

1.04K

Videos

3.31K

Avg views (recent)

15-video sample · 2026-07-27

Estimated rate · Integrated video

Avg views · niche CPM · High confidence

Low

$149

Typical

$182

High

$249

Niche CPM
$45–75anchor $55
Avg views
3,315per 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
Nano (10K–50K)
Activity
Healthyratio 0.180 · n=15
Niche
Finance
Country · language
United States· en
US equities coverage
Tracked
SEC §17(b) disclosure
Not assessed

About HJTrades

HJTrades operates a YouTube channel, @hjtradesofficial, primarily focused on financial market analysis and trading strategies. The channel, based in the United States, has published 997 videos and accumulated 1,886,987 total views. With a subscriber base of 17,500, HJTrades provides consistent updates on market movements, specifically covering key indices like SPY and QQQ, as well as the performance of the 'Magnificent 7' stocks. Content is structured to deliver daily market updates Monday through Thursday evenings (EST) and a comprehensive weekly review every Saturday. The channel emphasizes direct, actionable insights for traders, aiming to bypass what it describes as 'BS' in favor of pertinent market information and trade ideas. This content strategy positions HJTrades as a resource for individuals seeking regular, data-driven perspectives on stock market dynamics and potential trading opportunities.

HJTrades's estimated sponsorship rates

The estimated rate for an integrated video on the HJTrades YouTube channel ranges from $110 to $276, with a typical rate projected at $184. This pricing places HJTrades in the 'low' audience tier. Several factors influence this rate estimate. The channel's primary focus on finance, a niche often associated with higher CPMs due to advertiser interest in affluent or investment-focused audiences, contributes to its valuation. Despite this, the current subscriber count of 17,500 places the channel at an earlier stage of audience development compared to larger finance creators. The consistent publishing schedule of nearly 1,000 videos demonstrates a strong commitment to content creation, which can be a positive signal for brand partnerships. The specific format of daily and weekly market updates, often involving detailed technical analysis, may appeal to brands within the financial technology or investment education sectors. The rate reflects a balance between the channel's niche value and its current audience scale. For a comprehensive understanding of the algorithmic pricing model, including how subscriber count, niche CPM, and platform multipliers are applied, readers are directed to the /methodology page.

Who should partner with HJTrades?

HJTrades' audience, totaling 17,500 subscribers, is primarily engaged with financial market content, specifically stock trading and investment analysis. The channel's focus on SPY, QQQ, and the 'Magnificent 7' stocks indicates an audience interested in large-cap equities and broad market trends. This demographic is likely to include active traders, retail investors, and individuals seeking daily market insights. Brands in categories such as fintech apps, online brokerages, personal-finance education platforms, investment research tools, and financial news services would find this audience particularly relevant. The consistent schedule of daily and weekly updates suggests a viewer base that values regular, data-driven analysis for informed decision-making. In the competitive finance niche, HJTrades' audience size is comparable to peers such as Duy Nghiêm (@duynghiem93, 17,500 subscribers) and Aditya Nikita (@marketpulsewithadityaandnikita, 17,400 subscribers), indicating a consistent segment of the market for this type of content. The channel's emphasis on cutting 'BS' and going 'straight to what's important' suggests an audience that values direct, actionable information over speculative or overly complex financial commentary.

HJTrades's growth and performance

HJTrades' subscriber growth data is currently limited to a single snapshot. The channel was first tracked on 2026-05-24 with 17,500 subscribers. The latest snapshot, also on 2026-05-24, recorded the same subscriber count, resulting in a delta of +0 subscribers over a one-day period. We do not yet have view-count history or average views for the last 30 days to provide a more comprehensive analysis of recent performance trends. Future tracking will provide additional data points to assess subscriber accumulation and audience engagement over longer periods. The channel's consistent content output, with 997 videos published to date, indicates a sustained effort in content creation that may contribute to future audience expansion.

How our pricing estimate works for HJTrades

The estimated rates for HJTrades are generated through an algorithmic model developed by InfluencerUnion. This model calculates a projected earnings range for integrated video content on YouTube by considering several key variables. These include the creator's subscriber count, the typical Cost Per Mille (CPM) for their specific content niche (in this case, finance), and platform-specific multipliers that account for engagement rates and advertising formats. The estimate provided for HJTrades is based on a 'metric_estimate' calibration, indicating that it relies on our established algorithmic framework. Currently, this estimate has been generated without the benefit of community-contributed pricing data, meaning it is derived solely from our internal statistical models. For a detailed explanation of the formulas, data inputs, and calibration processes used in our algorithmic pricing, please refer to the comprehensive methodology page available at /methodology.