Maker (MKR) Records 13% Gains Undeterred By Market Downtrends

newsbtcPublished on 2022-11-11Last updated on 2022-11-11

Abstract

MKR, the native token of the Maker Protocol, has recorded substantial gains despite the most recent market downturn. After news of FTX’s liquidity crisis rocked the crypto market, several coins...

MKR, the native token of the Maker Protocol, has recorded substantial gains despite the most recent market downturn. After news of FTX’s liquidity crisis rocked the crypto market, several coins have struggled to bag daily gains to no avail. However, MakerDAO’s governance token has experienced an impressive surge today. Specifically, MKR trades at $873 press time, gaining over 26% on the day.
Despite the huge jump in the day, Maker still hasn’t recovered its weekly losses. However, if its bullish trend continues, it might fully recover in a short time.
MKR Surges As Bullish Momentum Kicks In
After a steep drop and sell-off over the last day, bulls have succeeded in turning around the Maker’s (MKR) negative trend. MKR’s price increased by $177.40, or 13.64 percent, to $840 during this recovery. The main catalyst for the price surge is an increase in 1-day trading activities and market cap. Specifically, MKR saw a 27.26% increase in its market capitalization and a 15.37% surge in trading volume.
MKR’s gains were most felt in the DeFi sector of the Maker Protocol. According to a Token Terminal Intern on Twitter, the DeFi sector lost around 20% of its total value locked in the last 24 hours. This is unsurprising and expected due to FTX’s controversy. However, despite the downturn, Maker recorded an increase in its TVL. Precisely, Maker saw a TVL increase of 28% over the same period. 
This increase results from the recent surge in borrowing activities on the platform. As per the thread, Token Terminal Intern noted that the top-three lending protocols, including Maker, facilitated $27B worth of trading volume. The account mentioned that the increase resulted from traders fleeing centralized exchanges due to the FTX collapse.

MKRUSD

MKR’s price is currently hovering at $875. | Source: MKRUSD price chart from TradingView.com What The Charts Say About MKR’s Movement
The intersection of the upper and lower Bollinger Bands is located at 780 and 615, respectively. The widening of the bands indicates a rise in trading activity, which may lead to a price breakthrough.
Since the market has broken out above the upper range, bulls appear to be in control, and this upward trend might continue for a while. The RSI is currently at 57.45, which has been quite constant over the past few hours. As a result, the MKR market shows signs of balance between buyers and sellers, suggesting the positive trend will continue.
The MACD line is still negative at -8. However, it has crossed over the signal line and is trending upward into positive territory. The histogram is trending upwards, supporting the current bullish pattern. As the MACD line rises above the EMA line, we may be certain that the MKR market will continue to rise. 
Moving averages for 5 and 20 days are 749 and 698, respectively. This uptrend is further backed by the rise of market prices above both moving averages. The Coppock curve, which has just climbed from the negative zone to a value of 8, also implies sustained growth in the MKR market. Overall, the market is expected to stay positive, and major technical signs point to more gains coming up soon.

Related Reads

A Chip Company Releases AIDC Energy Storage Certification Standards. Why NVIDIA? Computing Power Reshapes Power Supply Logic. Who's in the Lead and Who's Left Out?

NVIDIA has released a "Battery Energy Storage System Self-Certification Guide," setting strict technical standards for energy storage systems specifically for AI data centers (AIDC). The guide focuses solely on certifying the Power Conversion System (PCS), not the batteries, with 10 mandatory performance metrics and 12 validation tests requiring real-world and simulation comparisons. Key requirements include rapid dynamic response to AI workloads, high-frequency system telemetry, and detailed electromagnetic transient models. The move is driven by the extreme and fluctuating power demands of next-generation AI hardware. Modern AIDCs require energy storage systems to act as intelligent, controllable grid assets, not just passive backup, to manage instantaneous, massive power load shifts that traditional UPS systems cannot handle. This redefines the competitive landscape for energy storage providers, shifting focus from capacity and cost to advanced control capabilities and system integration. While the market potential is significant—with forecasts of hundreds of GWh in new demand by 2030—the certification creates a high barrier to entry. It requires proven PCS delivery volumes and credible plans for rapid capacity scaling, favoring established, well-resourced players. Early movers like Fluence (partnering with Siemens) and several Chinese companies have secured projects ahead of the standard, but new entrants must now navigate this rigorous, costly, and time-intensive certification process to compete in the AIDC energy storage market.

marsbit35m ago

A Chip Company Releases AIDC Energy Storage Certification Standards. Why NVIDIA? Computing Power Reshapes Power Supply Logic. Who's in the Lead and Who's Left Out?

marsbit35m ago

After Missing the 20x, I've Found a 'Dumb' Method for AI Investing

**Missing the 20x Opportunity: A Simple 'Dumb' Approach to AI Investing** The AI boom, driving NVIDIA's revenue from $60B to $216B in two years, creates immense investment pressure. However, like the internet bubble of 2000, the largest AI opportunities likely lie ahead, perhaps after a correction. Instead of rushing in now or waiting paralyzed for a crash, the author proposes a third way: building a "knowledge warehouse" by systematically mapping the AI industry to be ready when opportunities arise. The core of the strategy is understanding AI's four-layer value chain: 1. **Compute Infrastructure (The "Engine"):** This foundational layer, where all money eventually flows, includes: a) **Chip Design:** NVIDIA's dominance via its CUDA ecosystem, b) **Chip Manufacturing/Packaging/Memory:** TSMC's near-monopoly in advanced manufacturing and SK Hynix's lead in High Bandwidth Memory (HBM), c) **Optical Interconnects:** Essential for large-scale AI clusters (e.g., Lumentum, Coherent), d) **Cooling & Power:** Critical for high-density AI data centers (e.g., Vertiv), e) **Servers/Data Centers & Cloud Platforms:** The physical and virtual wholesale providers. 2. **Models & Tools (The "OS"):** The competitive layer of foundation models (OpenAI, Anthropic, Google, Meta, xAI), now generating real revenue. A key shift is the center of gravity moving from **Training** models to **Inference** (running models), which demands different chip characteristics and could challenge NVIDIA's monopoly. 3. **Middleware & Platform ("The Glue"):** Connects models and applications (e.g., Scale AI, Hugging Face). This layer could explode if applications take off. 4. **Vertical Applications ("The Cash Register"):** Where AI meets end-users (e.g., enterprise AI, coding tools, medical AI, robotics). A critical cross-cutting constraint is **Energy**, as AI's massive power consumption drives investment in nuclear and other energy infrastructure. The author identifies four key questions for further research: 1) How will the shift from Training to Inference reshape the competitive landscape? 2) With tech giants spending over $600B on capex, where is the ROI from AI applications? 3) What are the under-the-radar opportunities in the "second" and "third" circles of the value chain (e.g., cooling, specialty foundries)? 4) How will geopolitics (e.g., U.S.-China chip restrictions) bifurcate the supply chain? The conclusion is that missed opportunities stem from insufficient research, not slow timing. By methodically studying each layer—its business models, competition, and valuations—investors can build the "killer intuition" needed to act decisively when the market presents its chance.

marsbit56m ago

After Missing the 20x, I've Found a 'Dumb' Method for AI Investing

marsbit56m ago

Trading

Spot
Futures
活动图片