Brian Shannon, CMT
Trader, Author, Technical Analysis Using Multiple Timeframes https://www.amazon.com/dp/B007NXQHWW?ref=myi_title_dp Only Price Pays! NEW BOOK Maximum Trading Gains w/⚓VWAP https://alphatrends.net/anchored-vwap-book/
285,322
Followers
816
Following
47,374
Tweets
26.7
Avg Engagement
5,178
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alphatrends'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:2008-06-26
- Verification:No
- Location:Denver
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:23.3
- Avg Retweets per Tweet:3.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsTweets typically receive a high number of likes, indicating strong audience interest. Retweets are relatively low, suggesting a more niche or dedicated following.
23.3
Avg Likes/Tweet
3.4
Avg Retweets/Tweet
75,757
Total Likes
11,003
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
14
75th Percentile
3,475
Top Tweet
0.09
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
14.2%
Original
78.6%
Replies
2.5%
Retweets
4.6%
Quotes
0.0%
Threads
0.3%
With Media
26.9%
With Links
3.1%
With #Tags
81.0%
With @Mentions
15.1%
With Emojis
89
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.52
Reply/Original Ratio
1.83
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
87.7%
Weekday Posts
12.3%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
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 82 retweets (3% 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 audience includes traders and investors interested in technical analysis and market trends. They are likely looking for actionable insights and educational content.
Average
Audience Quality
25.9%
Suspicion Index
37.0%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.8%
Empty Bio
35.7%
<10 Tweets
7.9%
Mass Following (>2K)
0.0%
New (<90 days)
46.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
24.1%
<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.
28,675,873
Total Potential Reach
26
Median Follower Reach
97
75th Percentile Reach
4.0%
>1K followers
0.6%
>10K followers
0.2%
>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).
39.4%
Creators
19,687 accounts
25.0%
Consumers
12,476 accounts
35.7%
Dormant
17,837 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):
1,586
Verified Followers
1.57% of total
9,397
Protected Accounts
9.3% of total
5 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 | 14,101,177 | Wrestler | Wrestling, Motivation, Self-promotion |
| @rodrigovesgo | 5,434,965 | - | - |
| @SinghLions | 1,334,439 | Restaurateur | Food, Travel, Influencer |
| @MattWallace888 | 960,651 | YouTuber | Crypto, Dogecoin, YouTube |
| @WSBChairman | 906,098 | Finance | Finance, Stocks, Memes |
| @cvpayne | 885,934 | Financial Analyst | Family, Country, Money |
| @TheStreet | 850,448 | Finance | business news, investing ideas, stock analysis |
| @ZachBoychuk | 829,256 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 801,344 | Activism | equality, bullying, discrimination |
| @iownjd | 777,959 | Lawyer | learn, inspire, engage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,738
Followers With Bio
47,257
Followers Without Bio
53.21%
% With Bio
46.79%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
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 analyzed8,448
Combined Engagement
4,599
Total Likes
3,849
Total Retweets
1,690
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @CCH360: A friend just shared this with me. Avalanche at @SundanceResort. Just now. https://t.co/j2hcCNRdPl
Book will finally be out of my hands in the next couple of weeks! Presale will start in December w delivery early January. 500 likes on this tweet gets 4 sample pages posted here https://t.co/fbmKw1mPa5
"Buy when there is blood in the streets" is a popular phrase Is that when a stock is down 10% in a month? 20%? 30%? 40%? $TSLA down 44% MTD https://t.co/JyDMH99k0z
If you dollar cost averaged $100 into shares of $META from the IPO through today you would have made 125 buys for $12,500 today you would own 144.23 shares worth $13,058 a gain of $558 or 4.46% over a 10 year period THIS IS WHY I TRADE https://t.co/o9jLcfaqQO
Update on my new book "Maximum Trading Gains with Anchored VWAP- The Perfect Combination of Price, Time & Volume" ⚓️VWAP https://t.co/5VwrniKnEL
Key Insights & Takeaways
AlphaTrends emphasizes the importance of price action and market psychology in trading decisions. They often reference real-world stock examples to illustrate their points. Their content is educational, aiming to help followers improve their trading strategies.
Strengths
- + Established follower base of 285,322
- + 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 @alphatrends reveals an growing Twitter presence with 285,322 followers. The account demonstrates a conversation-first approach, averaging 26.7 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access