Sven Henrich

Sven Henrich

@NorthmanTrader

Founder: NorthmanTrader. Financial Market Strategist. Macro & Technical Analysis. Keeping it real. To subscribe: https://northmantrader.com/market-service…

England, United Kingdom https://northmantrader.com/ Joined 2012-07-24 Date of Analysis: Dec 16, 2025

463,000

Followers

71

Following

7,268

Tweets

426.5

Avg Engagement

7,956

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @NorthmanTrader'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:2012-07-24
  • Verification:No
  • Location:England, United Kingdom

Data Summary

  • Tweets Analyzed:3,236
  • Avg Likes per Tweet:383.4
  • Avg Retweets per Tweet:43.1
  • Followers Analyzed:50,000
  • Following Analyzed:25

Engagement Analysis

Based on 3,236 tweets

His tweets typically receive high engagement, with an average of 12,755 likes and 1,512 retweets per post. This suggests a highly interactive and interested audience.

383.4

Avg Likes/Tweet

43.1

Avg Retweets/Tweet

1,240,834

Total Likes

139,350

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

186

Median Likes

15

Median Retweets

416

75th Percentile

49,734

Top Tweet

0.92

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

42.6%

Original

36.2%

Replies

0.2%

Retweets

21.1%

Quotes

0.0%

Threads

0.1%

With Media

71.5%

With Links

2.2%

With #Tags

10.5%

With @Mentions

5.5%

With Emojis

121

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.85

Reply/Original Ratio

97.43

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

90.0%

Weekday Posts

10.0%

Weekend Posts

Top Hashtags

#bitcoin (14) #math (4) #2 (2) #watching (2) #30 (1) #29 (1) #28 (1) #27 (1) #26 (1) #timestamped (1)

Most Mentioned

@elonmusk (80) @menlobear (16) @foxbusiness (15) @cvpayne (13) @d_blanchflower (10) @cnbcfastmoney (8) @cnbcwex (8) @northmantrader (7) @federalreserve (7) @twitter (6)

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Content Strategy Analysis

Based on 3,236 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,377 (43%)
Replies 1,170 (36%)
Retweets 7 (0%)
Quote Tweets 682 (21%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 7 retweets (0% 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 3,236 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 primarily consists of investors and traders interested in macroeconomic trends and technical analysis. The content appeals to those looking for real, unfiltered market insights.

Average

Audience Quality

26.3%

Suspicion Index

37.0%

Low-Quality %

28

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

51.7%

Empty Bio

31.7%

<10 Tweets

9.6%

Mass Following (>2K)

0.0%

New (<90 days)

51.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.2%

No URL

22.2%

<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.

48,685,792

Total Potential Reach

28

Median Follower Reach

108

75th Percentile Reach

4.8%

>1K followers

0.7%

>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).

46.0%

Creators

22,999 accounts

22.3%

Consumers

11,138 accounts

31.7%

Dormant

15,863 accounts

1,537

Verified Followers

3.07% of total

8.0%

Professional Bios

founder, dev, analyst, etc.

0.1

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 (543) London, England (240) New York, USA (169) Los Angeles, CA (165) USA (162) Canada (158) New York, NY (142) Toronto, Ontario (137) London (126) Earth (123)

2,844

Verified Followers

2.84% of total

9,298

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 14,104,474 Wrestler Wrestling, Motivation, Self-promotion
@CryptoWeb3_NFT 4,364,320 - -
@100trillionUSD 1,870,434 Analyst Bitcoin, Stock-to-Flow, Economics
@KalaniBallFree 1,244,638 Athlete Email Marketing, Entrepreneurship, Social Media
@woonomic 1,051,395 - -
@Investingcom 1,002,731 Financial Analyst Financial markets, news, analysis
@balajis 903,938 Entrepreneur Bitcoin, Immutable Money, Infinite Frontier
@TheStreet 850,500 Finance business news, investing ideas, stock analysis
@intocryptoverse 739,806 Crypto Analyst Cryptocurrency, Quantitative Analysis, Engineering
@cryptomanran 702,062 Crypto Influencer Cryptocurrency, Investing, Blockchain

Top Keywords in Follower Bios

crypto (3,141) bitcoin (2,850) trader (2,296) investor (1,903) financial (1,839) life (1,504) love (1,330) advice (1,194) trading (1,144) enthusiast (1,091)

Top Hashtags in Follower Bios

#bitcoin (2,097) #btc (516) #crypto (408) #eth (211) #nft (192) #web3 (117) #blockchain (117) #defi (111) #xrp (92) #bnb (92)

51,146

Followers With Bio

48,854

Followers Without Bio

51.15%

% With Bio

48.85%

% 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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Buy Tweet Data

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Viral Tweets

Top 5 by likes+RTs from 3,236 analyzed

105,700

Combined Engagement

96,145

Total Likes

9,555

Total Retweets

21,140

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

100%

With Links

Topical Analysis:

Financial Markets Macroeconomic Analysis Technical Analysis Social Media Influence Market Speculation Global Events Investor Psychology

Network & Following Analysis

Based on 25 accounts followed

Following Quality Signals

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

0.0%

Verified Accounts

0.0%

High Authority (>50K)

36.0%

Dormant Accounts

44.0%

Low Quality

30

Median Reach of Followed Accounts

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

100.0%

Individuals

25 accounts

0.0%

Brands/Orgs

0 accounts

0.0%

Media/News

0 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ President Elect - Daniel Plainview🥃 498 - -
@ King David Martins 383 - -
@ Henry Holme 363 - -
@ Nicole Feied 340 - -
@ Generic Name Dude 277 - -
@ Mischler Pascal 128 - -
@ rahulmatai 114 - -
@ Samuel 113 - -
@ Mr Money Badger 85 - -
@ SherLD 71 - -

Key Insights & Takeaways

He often challenges conventional wisdom and presents controversial viewpoints, which drives engagement. His content frequently addresses major global issues, linking them to financial markets. He uses direct and provocative language to provoke thought and discussion among his followers.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 463,000
  • + Strong original content creation
  • + 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 @NorthmanTrader reveals an well-established Twitter presence with 463,000 followers. The account demonstrates a content-creator strategy, averaging 426.5 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