Structured market prediction extracted from social analysis, normalized by AI, enriched with validation metrics, analyst reliability, live position tracking and source-level evidence.
Entry, target and invalidation logic
The original analyst prediction is converted into a structured intelligence object with price mentions, normalized direction, target distance, invalidation distance and risk/reward context.
AI quality scoring
Each signal is scored for clarity, accuracy, actionability and overall usefulness before it contributes to intelligence metrics.
What happened after publication?
The platform tracks price movement after publication and records outcome, runup, drawdown and resolution metadata.
Who generated this prediction?
Source, summary and reference
The video analyzes Bitcoin using the 'supply in profit and loss' metric, available on intothecryptoverse.com. This metric identifies market cycle bottoms historically when the 'supply in profit' crosses the 'supply in loss'. The video mentions that cycle tops cannot be identified using this metric. Applying a 30-day moving average (SMA) identifies when over 90% of the supply is in profit, potentially signaling an upcoming pullback. As of June 1st, the 30-day SMA is at 96.71%. The speaker expects strength may continue into late May/early June, then a pullback in Q3, around August/September, with a possible low near $57000.
This chart shows the percentage of existing coins whose price was lower than the current price the last time they moved on-chain. Currently only data for Bitcoin is available. There are also options to switch to the percentage of existing coins whose price was higher than the current price the last time they moved on-chain, and an option to view both. Putting in a new all time high implies that 100% of supply is being held in profit. When multiple all time highs are put in, the percentage of supply in profit could stay near 100% for a while. One of the most clear patterns is that historically the crossing of supply in profit and loss has been a necessary condition for the market cycle bottom to occur. By applying a moving average one can also identify overheated areas when the moving average starts to reach values close to 100%. For example, the 50D SMA reaching values of 97% or above has historically been a fairly decent indicator for predicting a (short term) pullback. This does not mean that pullbacks can't happen anytime else of course. On the other hand, during bear markets, the bottom tends to occur near values of 40-50 percent of supply being held in profit. Into The Cryptoverse Premium SALE: https://intothecryptoverse.com Data provided by: https://coinmetrics.io/ Into The Cryptoverse Newsletter: https://newsletter.intothecryptoverse.com/ LIFETIME OPTION: https://intothecryptoverse.com/product/subscription-to-the-premium-list-lifetime/ Alternative Option: https://www.patreon.com/intothecryptoverse Merch: https://store.intothecryptoverse.com/ Disclaimer: The information presented within this video is NOT financial advice. Telegram: https://t.me/intocryptoverse Twitter: https://twitter.com/intocryptoverse TikTok: tiktok.com/@benjamincowencrypto Instagram: https://www.instagram.com/bjcowen/ Discord: https://discord.gg/UGwc6eR Facebook: https://www.facebook.com/groups/intothecryptoverse Reddit: https://www.reddit.com/r/intothecryptoverse/ Website: https://intothecryptoverse.com/
Scoring and consensus eligibility
These fields explain whether this prediction is already verified, whether it contributes to analyst scoring, and whether it is included in symbol target consensus.