Is Ivan on Tech a Reliable Crypto YouTuber? Trust Score & Prediction Accuracy
Independent, AI-driven analysis of reliability and verified prediction accuracy.
What the analysis says
The channel demonstrates a high level of technical and fundamental analysis, with a strong emphasis on risk management, mechanical trading systems, and market psychology. The creator consistently warns about market risks, promotes disciplined approaches, and frequently references historical data and transparent track records. There is a clear focus on education, with repeated explanations of probabilistic thinking, market cycles, and the dangers of emotional trading or chasing narratives. The creator also discloses personal investments, past losses, and openly discusses the limitations of predictions and targets. While there is promotion of external products (books, trading courses, exchange sign-ups), these are disclosed and not excessively pushed. No evidence of fraudulent behavior is found; the creator encourages skepticism, adaptation, and capital preservation. Overall, the channel provides valuable, fact-based educational content with advanced market insights and responsible financial attitudes.
Focus areas
13-indicator reliability breakdown
Each indicator is scored 0–100 from the channel's content.
The creator demonstrates deep understanding of market cycles, probabilistic outcomes, and historical context. Analysis includes references to past cycles, macro factors, and the interplay between crypto, stocks, and commodities. Examples: extended discussions on Bitcoin bottom formation, oil's impact on risk assets, and historical analogies.
Extensive use of technical analysis tools (e.g., Fibonacci retracements, moving averages, trend flips) with clear explanations and practical applications. The creator shows advanced charting skills and emphasizes systematic, rules-based trading.
Strong grasp of fundamental analysis, including discussion of company actions (e.g., MicroStrategy, Stretch), macroeconomic factors, and asset-specific risks. Occasionally, the focus shifts more towards technicals, but fundamentals are regularly integrated.
Content is highly consistent in messaging, risk management approach, and methodology. The creator reiterates probabilistic thinking, capital preservation, and adapting to market changes in nearly every video.
Videos are educational with clear explanations of trading psychology, strategy, and market structure. The creator references his book and free training but also provides substantial educational content directly in the videos.
Research is thorough, referencing multiple timeframes, historical cycles, and data sources. The creator verifies information (e.g., dividend increases) and encourages viewers to double-check. Occasionally, some claims are based on personal opinion or experience, but these are disclosed.
The creator openly discloses personal investments, losses, and the nature of promotional links. There is a clear distinction between educational content and promotional material. The channel provides context around affiliate relationships.
While the creator promotes his own products and strategies, he frequently discusses risks, adapts positions based on market changes, and encourages objective analysis. Bias towards his own system is present but balanced by transparency and data-driven reasoning.
The creator offers transparent track records, references past calls, and provides links to performance logs. He details both successes and mistakes, emphasizing the importance of adaptation and learning.
While there is no explicit channel description provided, the content consistently communicates the channel's purpose: market analysis, education, and responsible trading. The branding and messaging are clear within the videos.
The channel has over 535,000 subscribers, but recent videos average between 10,000-12,000 views, which is moderate engagement for the size. Engagement rates are healthy but not exceptional.
Video and audio quality are solid. Visuals (charts, examples) are clearly referenced, and the creator's presentation is articulate and structured.
There are frequent promotions for books, courses, and exchange sign-ups, but these are disclosed and not aggressive. The educational content is not overshadowed by promotions.
Verified prediction accuracy
Weighted across 88 verified predictions (hit + ½ partial).
Weighted accuracy
Recent verified predictions
- ETHBullishMissAug 30, 2026
“Should we go above 5K and go in price discovery there, you may easily see 10K, maybe even 15K for ETH quite fast.”
Target: $10,000
- BTCBullishMissAug 30, 2026
“So, Bitcoin itself, once it goes bull trend, a teleport to 100k is very likely, guys. Extremely likely.”
Target: $100,000
- ZECBullishMissAug 30, 2026
“Zcash is uh bull trend, new bull trend, going to go to $1,000. For Zcash, keep in mind $1,000. You heard it here first.”
Target: $1,000
- SOLBullishMissAug 30, 2026
“the next step is that we go and we recapture the all-time high at 300, okay? Also, this is going to be quite fast.”
Target: $300
- SOLBullishMissAug 28, 2026
“with Sana, it wouldn't surprise me at all if we snapped to 150 quite quickly. Yes.”
Target: $150
How it compares
A trust score of 82/100 sits against a dataset median of 80/100 — outranking 65% of the 247 crypto channels we track.
Methodology
Scores come from AI analysis of the channel's videos across 13 reliability indicators (0–10, shown as /100). Predictions are extracted from transcripts and later checked against real market prices; weighted accuracy counts a hit as 1 and a partial as ½ over all verified calls. Transparency is the product — every figure is reproducible.
Not financial advice. Trust scores and accuracy reflect past content and predictions, not future results.
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