TradingView
Where the world charts, chats and trades markets.
721,617
Followers
3,911
Following
153,715
Tweets
292.1
Avg Engagement
4,551
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tradingview's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2011-09-14
- Verification:Yes
- Location:New York, USA
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:251.4
- Avg Retweets per Tweet:40.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains high engagement with an average of 9,826 likes and 1,900 retweets per tweet. Its content is often shared widely due to its relevance and timeliness.
251.4
Avg Likes/Tweet
40.7
Avg Retweets/Tweet
817,110
Total Likes
132,176
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
36
Median Likes
4
Median Retweets
209
75th Percentile
20,047
Top Tweet
0.4
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
30.7%
Original
66.7%
Replies
2.3%
Retweets
0.2%
Quotes
0.0%
Threads
0.2%
With Media
44.9%
With Links
1.8%
With #Tags
48.2%
With @Mentions
27.2%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.18
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.8%
Weekday Posts
12.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 76 retweets (2% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,250 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe primary audience includes traders, investors, and market analysts who seek real-time data and insights. It also attracts casual followers interested in financial news.
Average
Audience Quality
24.5%
Suspicion Index
37.4%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.2%
Empty Bio
36.9%
<10 Tweets
4.1%
Mass Following (>2K)
0.0%
New (<90 days)
43.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
25.6%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
22,653,190
Total Potential Reach
17
Median Follower Reach
66
75th Percentile Reach
3.5%
>1K followers
0.6%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
38.0%
Creators
19,012 accounts
25.1%
Consumers
12,536 accounts
36.9%
Dormant
18,452 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
1,455
Verified Followers
1.44% of total
8,444
Protected Accounts
8.36% of total
4 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,105,274 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TwitterBusiness | 1,352,661 | - | - |
| @LeBronJames | 1,008,392 | - | - |
| @Karijelinek | 1,004,744 | Modelo | Modelo, Actriz, Influencers |
| @BSCNews | 942,692 | Crypto News | Binance Smart Chain, DeFi, News |
| @CryptoKing4Ever | 849,258 | Content Creator | Guyonan, Lucu, Design |
| @intocryptoverse | 739,592 | Crypto Analyst | Cryptocurrency, Quantitative Analysis, Engineering |
| @TheDaoMaker | 629,830 | - | - |
| @CBOE | 600,837 | Finance | Innovation, Technology, Trading |
| @worthSeeingPic | 556,122 | Photographer | Sun, Nature, Photography |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,791
Followers With Bio
49,208
Followers Without Bio
51.28%
% With Bio
48.72%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed73,866
Combined Engagement
62,046
Total Likes
11,820
Total Retweets
14,773
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Amazon down 17% https://t.co/UFQtbFGcIf
Silicon Valley Bank resumed trading today 😳 https://t.co/qiC63rdEex
Currency strength over the last year: https://t.co/xlewDN9I4z
Health is wealth https://t.co/CrVxJ5FUzQ
106 years of stock market history. https://t.co/5Pyfkx5L3H
Key Insights & Takeaways
The account frequently highlights major market movements and events, such as significant stock drops or bank-related news. It provides visual data and analysis, such as currency strength charts, to inform its audience. It leverages trending topics to drive engagement and maintain relevance.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 721,617
- + High community engagement through conversations
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @tradingview reveals an well-established Twitter presence with 721,617 followers. The account demonstrates a conversation-first approach, averaging 292.1 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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