Crypto Analyst Predicts Bitcoin (BTC) Triples in Price Based on One Metric – Here’s His Timeframe

Daily HodlPubblicato 2022-07-06Pubblicato ultima volta 2022-07-06

Introduzione

One crypto analyst is comparing Bitcoin’s price action to one traditional stock to predict what's...

One crypto analyst is comparing Bitcoin’s price action to one traditional stock to predict what’s next for BTC after a rocky last two months.

In a new strategy session, the anonymous host of InvestAnswers highlights automaker Tesla while telling his 442,000 YouTube subscribers about the significance of mean reversion, a metric that posits an asset’s price will eventually return to its long-term average.

“Let’s look at the pair. This is the Tesla-divided-by-Bitcoin pair, and you can see the price now is about 0.036. We are back at late 2020 levels. It’s like a big huge U.

Is mean reversion overdue? Looking at this chart, you’ll see the blue line, that’s the 200-day moving average. That’s about 0.024 and we’re currently trading at 0.036. While Tesla has remained flat over the last 12 months, Bitcoin has gotten clobbered down 70%.

That is where we are, that is the situation and that’s why there’s parallax like this.”

Source: InvestAnswers/YouTube

The analyst says most assets with true underlying utility and value will revert to their mean, which is why he expects both Tesla and Bitcoin to post rallies starting in about half a year.

“Short and succinct, not financial advice, of course, everything mean reverts unless it’s a piece of crap or it’s broken.

Tesla has held up well during the correction and recession incredibly well. While I believe Tesla will hit $1,200 in the next six to 12 months, which is slightly less than double, I also believe Bitcoin could potentially triple in the same timeframe. Six to 12 months, which takes out to summer 2023 and that’s very, very conservative.

The Tesla /Bitcoin pair right now is 0.036. [The] 200-day moving average is 0.024, so technically we are here. I do not expect the pair to go higher than this 0.036 level.”

Regarding Tesla’s future earnings, the chart guru mentions the company will incur a hefty on-paper loss for its current Bitcoin holdings.

“They’re going to get hit hard. They’re gonna have an impairment charge of maybe $450 million dollars. A lot of stuff is hitting them, but they had the worst quarter-over-quarter performance in over two years.

I think that pair will come down, and I think once the bids start coming back… it’s more likely that Bitcoin gets bought up at this level and Tesla could come down, so watch that level 0.036.”

At time of writing, Bitcoin is up 6.02% on the day and priced at $20,258.

Letture associate

The Value Distribution of Stablecoins

**Summary: The Value Distribution of Stablecoins** The article argues that stablecoins are evolving from mere trading tools into broader channels for dollar access. It divides the stablecoin ecosystem into four layers to analyze how value is distributed: 1. **Issuance Layer:** Mints stablecoins, holds reserve assets, and captures the spread between reserve yield and user costs (e.g., Tether, Circle). This layer currently earns the largest profit margin. 2. **Infrastructure Layer:** Connects stablecoins to the traditional financial system, handling fiat on/off-ramps, banking integration, compliance (KYC/AML), and asset management (e.g., Bridge, BVNK). This is the "unglamorous" but critical work, building the essential bridges between crypto and real-world finance. 3. **Acquiring/Distribution Layer:** Integrates stablecoins into merchant systems, manages payment flows, and provides enterprise financial software (e.g., Stripe, Coinbase). They act as the access point for businesses. 4. **Application Layer:** The end-users and businesses that ultimately use stablecoins for payments, settlements, or as a store of value. They benefit from convenience but have little pricing power. The core thesis is that while the issuance layer currently dominates profits, the often-overlooked **infrastructure layer holds significant long-term potential**. The real challenge and barrier to mass adoption is not the on-chain transfer of stablecoins (which is simple), but the complex "last mile" integration into existing business workflows, banking systems, and regulatory frameworks across different countries. Companies in this layer are currently in a "land grab" phase, investing heavily to build networks, secure bank partnerships, and establish compliance pathways. While their position is currently pressured by the profitable issuers above and distribution platforms below, the article suggests that if stablecoins become a default financial rail for businesses, the infrastructure providers who have done the hard work of integration will ultimately gain strong pricing power and become entrenched, essential players.

marsbit17 min fa

The Value Distribution of Stablecoins

marsbit17 min fa

The Value Distribution of Stablecoins

The Value Distribution of Stablecoins The article argues that stablecoins are evolving from a mere trading tool into a broad "dollar channel." It analyzes the industry's value chain through four layers: 1. **Issuance Layer (e.g., Tether, Circle):** The top layer that mints stablecoins, holds reserve assets, and captures the thickest interest rate spread. 2. **Infrastructure Layer (e.g., Bridge, BVNK):** Connects stablecoins to the traditional financial system, handling critical but complex "dirty work" like fiat on/off-ramps, banking integration, compliance (KYC/AML), and cross-border settlement. 3. **Acquiring/Distribution Layer (e.g., Stripe, Coinbase):** Embeds stablecoins into merchant systems, manages payment flows, and integrates with enterprise software. 4. **Application Layer:** End-users and businesses that ultimately use stablecoins for payments, settlement, or storing value. The author posits that while the issuance layer currently captures the most profit, the most overlooked and potentially critical layer is infrastructure. The core challenge for stablecoin adoption isn't the on-chain transfer (which is simple), but bridging the gap between blockchain and the real-world financial system. This involves solving practical problems for businesses: fiat conversion, reconciliation, tax handling, and user onboarding. Infrastructure companies are currently in a difficult "land-grab" phase—building networks, securing banking relationships, and achieving compliance country-by-country. They face pressure from both the profitable issuance layer above and distribution platforms below. However, the author suggests this layer is building a crucial moat. Once stablecoins become a default business rail, the infrastructure players who have done the hard work of integration may gain significant, durable value and pricing power.

链捕手21 min fa

The Value Distribution of Stablecoins

链捕手21 min fa

How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

marsbit2 h fa

How to Do Research Well: Deliberately Practice the Real Skills That Matter

marsbit2 h fa

Trading

Spot
Futures
活动图片