Mayne

Mayne

@Tradermayne

@thehavencrypto

Not Financial Advice https://www.tradermayne.com/home Joined 2014-04-15 Date of Analysis: Dec 16, 2025

386,692

Followers

2,080

Following

40,857

Tweets

180.3

Avg Engagement

6,747

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Tradermayne'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:2014-04-15
  • Verification:No
  • Location:Not Financial Advice

Data Summary

  • Tweets Analyzed:3,241
  • Avg Likes per Tweet:168.5
  • Avg Retweets per Tweet:11.8
  • Followers Analyzed:50,000
  • Following Analyzed:1,987

Engagement Analysis

Based on 3,241 tweets

His tweets receive a moderate number of likes and retweets, suggesting a dedicated but not extremely active audience. The engagement is consistent across his posts.

168.5

Avg Likes/Tweet

11.8

Avg Retweets/Tweet

546,084

Total Likes

38,119

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

32

Median Likes

0

Median Retweets

147

75th Percentile

17,103

Top Tweet

0.47

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

21.8%

Original

69.3%

Replies

5.2%

Retweets

3.7%

Quotes

0.0%

Threads

0.1%

With Media

32.0%

With Links

0.5%

With #Tags

72.9%

With @Mentions

1.3%

With Emojis

82

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.18

Reply/Original Ratio

0.71

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

78.1%

Weekday Posts

21.9%

Weekend Posts

Top Hashtags

#bitcoin (3) #cryptofightnight (2) #btc (1) #boysrule (1) #weetards (1) #youtube (1) #ufc285 (1) #hogwartslegacy (1) #tmtatips (1) #bigdawgcryptopodcast (1)

Most Mentioned

@tradermayne (125) @gainzy222 (92) @rookiexbt (86) @coldbloodshill (83) @darealmilkbagz (76) @primexbt (70) @trader1sz (67) @cryptocred (62) @elonmusk (52) @cryptodonalt (51)

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Content Strategy Analysis

Based on 3,241 tweets

Content Type Distribution

Content Breakdown

Original Tweets 705 (22%)
Replies 2,245 (69%)
Retweets 170 (5%)
Quote Tweets 121 (4%)

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 170 retweets (5% 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 3,241 tweets

Engagement 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 followers

His audience likely consists of crypto traders and investors interested in market trends and personal experiences. They may also be looking for advice and analysis on market events.

Good

Audience Quality

19.2%

Suspicion Index

26.0%

Low-Quality %

47

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

38.0%

Empty Bio

22.7%

<10 Tweets

9.8%

Mass Following (>2K)

0.0%

New (<90 days)

33.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.4%

No URL

14.0%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

49,045,227

Total Potential Reach

47

Median Follower Reach

163

75th Percentile Reach

6.8%

>1K followers

1.3%

>10K followers

0.3%

>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).

52.3%

Creators

26,165 accounts

24.9%

Consumers

12,471 accounts

22.7%

Dormant

11,364 accounts

2,792

Verified Followers

5.58% of total

8.8%

Professional Bios

founder, dev, analyst, etc.

0.15

Median Follow Ratio

follower/following

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):

United States (440) London England (241) Nigeria (193) Earth (190) United Kingdom (187) India (183) Metaverse (181) Lagos Nigeria (171) Canada (153) New York USA (147)

3,247

Verified Followers

3.25% of total

6,314

Protected Accounts

6.31% 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
@CryptoWeb3_NFT 4,364,854 - -
@kodaja_ 1,607,186 - -
@ANATII 1,163,928 Musician Music, Fashion, Culture
@LeBronJames 998,841 - -
@Stocktwits 975,366 Finance finance, investing, global
@fusionistio 838,440 Game Developer Blockchain, game, industry veterans
@PeterLBrandt 695,983 Trader Trading, Charts, Author
@elliotrades 694,513 Crypto Influencer Crypto, DeFi, NFTs
@solalexasch 678,732 Musician Music, Travel, Tattoos
@streetoshi 589,314 - -

Top Keywords in Follower Bios

crypto (9,603) trader (3,744) nft (3,331) bitcoin (2,954) web (2,534) btc (2,079) enthusiast (1,992) investor (1,787) trading (1,720) blockchain (1,641)

Top Hashtags in Follower Bios

#bitcoin (2,286) #crypto (1,272) #btc (1,222) #nft (846) #eth (680) #web3 (407) #bnb (393) #defi (316) #blockchain (296) #nfts (287)

61,266

Followers With Bio

38,734

Followers Without Bio

61.27%

% With Bio

38.73%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,241 analyzed

62,068

Combined Engagement

49,395

Total Likes

12,673

Total Retweets

12,414

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

60%

With @Mentions

40%

With Links

Topical Analysis:

Cryptocurrency Trading Market Analysis Personal Experiences Market Events Community Engagement

Network & Following Analysis

Based on 1,987 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

50.8%

Verified Accounts

34.0%

High Authority (>50K)

100.0%

Dormant Accounts

5.5%

Low Quality

20,657

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

79.9%

Individuals

1,587 accounts

8.9%

Brands/Orgs

177 accounts

11.2%

Media/News

223 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 155,028,291 Entrepreneur Space, Technology, Innovation
@realDonaldTrump Donald J. Trump 87,260,530 - -
@NBA NBA 44,211,598 Sports Media Basketball, Sports, Entertainment
@instagram Instagram 33,159,178 Social Media Love, Connection, Sharing
@rickygervais Ricky Gervais 15,059,543 Comedian Comedy, Writing, Acting
@JohnCena John Cena 14,156,437 Wrestler Wrestling, Motivation, Self-promotion
@joerogan Joe Rogan 11,686,967 Comedian Stand up comedy, MMA, psychedelics
@binance Binance 10,756,395 Cryptocurrency Exchange Cryptocurrency, Blockchain, Digital Assets
@TuckerCarlson Tucker Carlson 9,981,917 TV Host Politics, News, Media
@KSI ksi 8,931,545 Musician Music, Rap, Collaboration

Key Insights & Takeaways

He frequently shares personal reflections on market losses and successes, indicating a focus on real-world trading experiences. He highlights specific events like the FTX collapse, showing an interest in major market developments and holding strong opinions on them. He engages with the community by responding to questions and sharing insights, which helps build trust and credibility.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 386,692
  • + 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 @Tradermayne reveals an well-established Twitter presence with 386,692 followers. The account demonstrates a conversation-first approach, averaging 180.3 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025