DeFi market fell off cliff in Q2 but users haven't given up hope: Report

CointelegraphОпубликовано 2022-07-15Обновлено 2022-07-15

Введение

Despite the decentralized finance (DeFi) market suffering a 74.6% market cap decline in Q2, user activity has remained relatively resilient, says CoinGecko. 

Despite the decentralized finance (DeFi) market suffering a 74.6% market cap decline in Q2, user activity has remained relatively resilient, says CoinGecko. 
In a report published by the crypto data aggregator on July 13th, CoinGecko reported that the overall DeFi market cap fell from $142 million to $36 million over the second quarter, due mainly to the collapse of Terra and its stablecoin TerraUSD (UST) in May.
CoinGecko also noted a rise in decentralized finance DeFi exploits in the quarter contributed to the fall, including Inverse Finance and Rari which suffered hacks of $1.2 million and $11 million respectively.
“These attacks have negatively impacted token prices as investors lose faith in these hacked protocols.”
However, CoinGecko also noted that while on-chain activity slowed down, the DeFi industry has managed to retain most of its daily active users.
It noted that the number of daily active users in DeFi decreased only 34.5% from 50,000 to 30,000 in Q2, added there were also multiple instances that caused a spike in DeFi activity.
The first spike was observed in May following Terra’s collapse, leading to users moving to Curve Finance and Uniswap on mass to sell their falling LUNA and UST.

Similarly, another spike in DeFi user activity took place in June according to CoinGecko, when crypto lending platform Celsius enforced withdrawal restrictions citing financial difficulties. Celsius filed for bankruptcy on July 13.
“In both events where centralized entities have failed, users have flocked to enjoy DeFi’s permissionless nature.
NFT trading volume down
The report also found that trading volume for non-fungible tokens (NFTs) fell 26.2.% from its peak in June 2021 to $7.6 billion in the quarter, led mainly by a decline in the trading volume of NFTs offered on the Ethereum network.

June 2022 also saw the lowest trading volume in 12 months, with NFT trading volume reaching $830 million, coinciding with a collapse of the floor price of NFTs.

Похожее

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

marsbit2 ч. назад

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

marsbit2 ч. назад

Торговля

Спот
Фьючерсы
活动图片