Is Cryptoast Academy a Reliable Crypto YouTuber? Trust Score & Prediction Accuracy
Independent, AI-driven analysis of reliability and verified prediction accuracy.
What the analysis says
Cryptost Academy demonstrates a high level of expertise in both technical and fundamental analysis, with a strong emphasis on data-driven market evaluation and on-chain analytics. The creator consistently relies on objective metrics, historical data, and established models to guide viewers through market cycles, risk assessment, and investor psychology. The educational content is rich and detailed, explaining complex concepts such as market phases, capitulation, and technical indicators with clarity and depth. The channel avoids hype, sensationalism, and overpromising, instead focusing on realistic, cyclical market expectations and prudent strategies like DCA (Dollar Cost Averaging) during bear markets. Research quality is excellent, referencing multiple sources (Glassnode, historical charts, production cost models), and the creator is transparent about uncertainties and limitations of predictions. There are no signs of fraudulent behavior, undisclosed sponsorships, or manipulative promotion. The content is consistent, well-structured, and highly valuable for viewers seeking advanced market understanding. The main specialties are on-chain analytics, technical/fundamental analysis, and market psychology. No specific asset recommendations are given beyond Bitcoin and occasional mentions of Ethereum in context. Overall, the channel is reliable, advanced, and educational, with no significant red flags detected.
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, investor psychology, and the interplay between spot and futures demand. Historical comparisons are used to contextualize current market movements, showing mastery of both short-term and long-term dynamics.
Technical analysis is rigorous, referencing RSI, moving averages, retracements, extensions, and price clusters. The creator explains the technical rationale for each scenario and uses multiple timeframes and indicators.
Fundamental analysis is strong, including production cost models, miner behavior, ETF flows, and macroeconomic factors. Occasional references to external events (geopolitics, macro) are made but not deeply explored.
Content is published regularly, follows a clear analytical structure, and consistently updates viewers on ongoing market developments. The creator maintains thematic continuity and avoids abrupt shifts or sensational topics.
Videos explain complex concepts in detail, breaking down analytics, market structure, and investor behavior. The creator encourages viewers to learn, provides actionable frameworks, and avoids hype.
Research is thorough, referencing Glassnode, historical charts, and multiple statistical models. Data is presented transparently, and limitations are acknowledged.
The creator is transparent about the use of data sources and personal strategies. No evidence of undisclosed sponsorships or conflicts of interest. Occasional mention of the academy and platform, but this is clearly disclosed.
Analysis is objective, avoids emotional bias, and presents both bullish and bearish scenarios. The creator warns against overconfidence and emphasizes risk management.
The creator references past predictions and market calls, showing a history of accurate analysis. However, no formal track record or performance statistics are published.
Channel description is not directly available in the provided data, but the video intros clearly explain the purpose and approach. Score reduced due to lack of explicit description.
Engagement is solid, with a good ratio of views, likes, and comments relative to subscribers. Some videos have higher engagement than others, likely due to market conditions.
Video and audio quality are generally good, though occasional technical issues (audio missing, visual support not available) are acknowledged transparently. Educational value compensates for minor technical flaws.
Promotion is limited to the academy and platform, with no aggressive marketing or misleading claims. Calls to action are standard and non-intrusive.
Verified prediction accuracy
Weighted across 37 verified predictions (hit + ½ partial).
Weighted accuracy
Recent verified predictions
- BTCBearishMissAug 18, 2026
“cette projection dit qu'on aurait un dernier bottom début octobre à 50000. Ah bah les amis, on peut très bien faire des bottom début octobre hein.”
Target: $50,000
- BTCBearishMissJun 30, 2026
“Mais d'abord on va droper à 50.”
Target: $50,000
- BTCBearishPartialJun 9, 2026
“Moi, j'ai quelque chose qui me dit au fond de moi, petite intuition, il me dit que nous allons avoir le dernier vrai bottom quelque part au milieu du mois d'août qui est le mois le plus faible de Bitcoin.”
Target: $60,000
- BTCBearishMissMay 26, 2026
“Si vous n'y croyez pas, bien non 60000 n'était pas le bottom ou pourrait être retesté.”
Target: $60,000
- BTCBearishMissMay 19, 2026
“Pourquoi pas un scénario de double bottom sur 60000 ?”
Target: $60,000
How it compares
A trust score of 92/100 sits against a dataset median of 80/100 — outranking 96% 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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