Economy
Can AI Startups Predict Ethereum’s Price Rise? DeFi Trading Gets Smarter
Ethereum has emerged as the dominant platform for Decentralized Finance (DeFi). Unlike traditional finance controlled by central institutions, DeFi uses blockchain technology to create a peer-to-peer financial system.
Ethereum’s programmable capabilities allow developers to build innovative financial applications, such as lending platforms, decentralized exchanges (DEXs), and yield farming protocols.
This has promoted the growth of DeFi, with the total value locked (TVL) in DeFi applications reaching record highs in recent years.
The year 2024 is shaping up to be a pivotal year for Ethereum. Experts predict a huge rise in Ethereum’s network activity and revenue, potentially doubling to $5 billion.
This bullish sentiment is further bolstered by the highly anticipated EIP-4844 upgrade, which aims to drastically reduce transaction costs and make the network more accessible to mainstream users.
While Ethereum forms the technological foundation, a new wave of innovation is surging in the DeFi space – AI startups. These young companies are harnessing the power of artificial intelligence to develop solutions that can transform DeFi trading.
With Ethereum’s price and network poised for significant growth, can AI startups predict Ethereum’s price rise and contribute to a smarter DeFi trading industry? Read on to learn!
Ethereum’s Revenue Surge and EIP-4844
Ethereum’s future appears bright, with analysts at Bitwise Asset Management predicting a staggering doubling of its revenue to $5 billion in 2024. This impressive growth projection reflects the increasing adoption and usage of DeFi applications built on the Ethereum network.
As DeFi protocols continue to attract users, the fees generated from transactions on the Ethereum blockchain will naturally rise.
A significant catalyst for this growth is the upcoming EIP-4844 upgrade, expected to be implemented later in 2024. This much-anticipated upgrade aims to address one of Ethereum’s biggest challenges – high transaction fees (gas fees).
EIP-4844 introduces a new transaction type called “blob-carrying transactions,” which store less critical data off-chain, significantly reducing the cost of transactions on the Ethereum network.
According to estimates, they range from 5-10x cheaper to 40-100x cheaper depending on the rollup type, which is paving the way for wider user adoption and further DeFi innovation.
DeFi’s Obstacles
Despite its rapid growth, DeFi still faces hurdles that hinder mainstream adoption. One of the biggest roadblocks is the issue of high transaction fees. On the Ethereum network, gas fees can fluctuate significantly depending on network congestion.
These fees can be a major deterrent for casual users and smaller transactions, making DeFi seem inaccessible and expensive.
Another challenge is the complexity of DeFi applications. Using DeFi platforms often requires a certain level of technical knowledge and familiarity with cryptocurrency concepts.
The user interfaces of many DeFi protocols can be intimidating for newcomers, hindering wider participation in the DeFi ecosystem.
The Position Of AI In DeFi Trading
The burgeoning field of AI startups is rapidly transforming the industry of DeFi trading. These innovative companies are developing sophisticated AI-powered solutions that address key challenges and open new possibilities for participants in the DeFi ecosystem.
Price Prediction Models
One of the most intriguing applications of AI in DeFi is the development of price-prediction models. These models leverage machine learning algorithms to analyze vast amounts of historical market data, including price movements, trading volumes, and on-chain activity.
AI models attempt to forecast future price movements for assets like Ethereum by identifying patterns and trends within this data.
While not foolproof, AI-powered price predictions can be a valuable tool for DeFi traders by providing insights and potentially mitigating risk.
For instance, a price prediction model might indicate a potential surge in Ethereum’s price, prompting a trader to buy before the price increase occurs.
Automated Trading Strategies
Human emotions can often cloud judgment and lead to irrational trading decisions. AI-powered automated trading strategies aim to address this by removing human bias from the equation.
These strategies are pre-programmed sets of rules that guide trading activities based on specific market conditions.
For example, an automated trading strategy could be configured to buy Ethereum if the price falls below a certain threshold or sell it if it reaches a pre-defined profit target.
This approach allows traders to automate repetitive tasks and potentially improve their trading performance by adhering to a disciplined strategy.
Sentiment Analysis
Social media and news outlets are a constant stream of information that can influence market sentiment. AI startups are developing tools that utilize sentiment analysis to gauge the overall market mood towards Ethereum and other cryptocurrencies.
These tools analyze text data from social media posts, news articles, and online forums to identify positive, negative, or neutral sentiment toward Ethereum.
By understanding the prevailing market sentiment, traders can make more informed decisions about their DeFi investments.
The Impact On DeFi Trading
AI-powered trading offers a multitude of benefits for DeFi users, fundamentally transforming the trading experience. Firstly, AI automates repetitive tasks such as order execution and market monitoring, freeing up valuable time for users to focus on strategic analysis and portfolio management.
This increased efficiency allows traders to react more quickly to market opportunities and make informed decisions.
Secondly, AI-powered risk management tools can help users mitigate risk by automatically implementing stop-loss orders and other safeguards. This data-driven approach helps to remove emotional biases from trading decisions, potentially leading to more disciplined and profitable outcomes.
Finally, AI has the potential to democratize DeFi trading by making it more accessible to new users. User-friendly interfaces and automated strategies can simplify the complexities of DeFi, attracting those with less technical knowledge and fostering wider participation in the DeFi ecosystem.
Can AI Predict Ethereum’s Price Rise?
AI-based price prediction models hold immense potential, but it’s important to acknowledge their limitations. The cryptocurrency market remains inherently volatile, susceptible to unforeseen events and external factors that can disrupt even the most sophisticated AI models.
Additionally, AI predictions themselves can influence market behavior, potentially creating a self-fulfilling prophecy.
Therefore, AI should be viewed as a valuable tool for informed decision-making, not a guaranteed crystal ball for predicting Ethereum’s future price movements.
Wrapping Up
As Ethereum’s network activity and revenue surge, AI startups emerge as a powerful force in DeFi trading. These companies are developing innovative solutions like bitcoin pro air that utilize AI to predict price movements, automate trading strategies, and analyze market sentiment.
This confluence of AI and DeFi holds immense promise for the future. AI can facilitate DeFi trading, reduce risks associated with emotional decision-making, and make the DeFi ecosystem more accessible to a broader range of users.
As AI technology continues to evolve and integrate further with DeFi, we can expect even more groundbreaking advancements that will reshape the landscape of decentralized finance.
Economy
NASD Exchange Extends Bearish Run After 0.56% Drop
By Adedapo Adesanya
The NASD Over-the-Counter (OTC) Securities Exchange extended its stay in the south territory with a decline of 0.56 per cent on Wednesday, April 2.
This brought down the market capitalisation by N13 billion to N2.417 trillion from N2.430 trillion, and downed the NASD Unlisted Security Index (NSI) by 22.57 points to 4,062.87 points from the previous session’s 4,062.87 points.
It was observed that the NASD exchange ended with three price gainers and three price losers during the trading day.
MRS Oil Plc depreciated by N19.00 to close at N171.00 per unit compared with the previous price of N190.00 per unit, NASD Plc lost N4.14 to trade at N37.36 per share compared with Wednesday’s N41.50 per share, and Central Securities Clearing System (CSCS) Plc gave up N2.00 to sell at N78.00 per unit versus N80.00 per unit.
On the flip side, FrieslandCampina Wamco Nigeria Plc appreciated by 19 Kobo to N93.00 per share from N92.81 per share, Food Concepts Plc expanded by 15 Kobo to N2.87 per unit from N2.72 per unit, and Great Nigeria Insurance (GNI) Plc improved by 2 Kobo to 52 Kobo per share from 50 Kobo per share.
Yesterday, the volume of securities dipped by 91.8 per cent to 260.2 million units from 3.2 billion units, the value of securities went down by 98.1 per cent to N154.2 million from N8.3 billion, while the number of deals soared by 53.3 per cent to 46 deals from 30 deals.
GNI Plc was the most active stock by value on a year-to-date basis with 3.4 billion units worth N8.4 billion, followed by CSCS Plc with 56.9 million units valued at N3.9 billion, and Okitipupa Plc with 27.5 million units traded for N1.8 billion.
The most traded stock by volume on a year-to-date basis was also GNI Plc with 3.4 billion units sold for N8.2 billion, trailed by Resourcery Plc with 1.1 billion units exchanged for N415.7 million, and Infrastructure Guarantee Credit Plc with 400 million units transacted for N1.2 billion.
Economy
Naira Slips to N1,380/$1 at Official Market, Remains N1,405/$1 at Black Market
By Adedapo Adesanya
The Naira dropped N2.09 or 0.15 per cent against the United States Dollar in the Nigerian Autonomous Foreign Exchange Market (NAFEX) on Thursday, April 2, to trade at N1,380.79/$1 compared with Wednesday’s rate of N1,378.70/$1.
However, it appreciated against the Pound Sterling in the official market by N2.77 to quote at N1,824.86/£1 versus the N1,836.57/£1 it was traded at midweek, and improved its value against the Euro by N10.54 to N1,591.92/€1 from N1,602.46/€1.
Yesterday was the last trading session of the week for the local currency in the spot market, as the market will be closed on Friday and Monday for the Easter Holiday.
At the black market, the Nigerian Naira maintained stability against the greenback yesterday at N1,405/$1, but gained N8 at the GTBank FX counter to settle at N1,388/$1, in contrast to the previous session’s N1,396/$1.
Pressure eased on the domestic currency as strong policy indicators have helped calm the majority of worries within the financial systems. Particularly in the remittance segment, the apex bank has directed all International Money Transfer Operators (IMTOs) to route remittance transactions through designated Naira settlement accounts in banks, a move aimed at boosting transparency and channelling more foreign exchange into the formal market.
This helps take off pressure from the foreign reserves, which have fallen below the $50 billion mark as they are gradually decreasing rather than falling sharply.
Meanwhile, the cryptocurrency market was bullish on Thursday, as macro sentiment shifted against recent optimism after reports that Iran is drafting a protocol with Oman to manage traffic through the Strait of Hormuz, easing concerns about disruptions to a key global oil route.
The remarks came after U.S. President Trump on Wednesday night vowed to hit Iran “extremely hard” in the coming weeks and that the Strait of Hormuz would “open naturally” once the war ends.
Cardano (ADA) chalked up 1.9 per cent to trade at $0.2435, Dogecoin (DOGE) grew by 1.2 per cent to $0.0912, Ethereum (ETH) appreciated by 0.8 per cent to $2,066.37, Bitcoin (BTC) added 0.5 per cent to sell at $67,080.53, Solana (SOL) increased by 0.5 per cent to $79.91, and Ripple (XRP) jumped 0.2 per cent to $1.31.
Conversely, Binance Coin (BNB) dipped 0.7 per cent to $586.90, and TRON (TRX) depreciated by 0.3 per cent to $0.3147, while the US Dollar Tether (USDT) and the US Dollar Coin (USDC) closed flat at $1.00 each.
Economy
Bulls, Bears Share Customs Street’s Spoils Amid Bullish Investor Sentiment
By Dipo Olowookere
The local stock market was relatively flat on Friday, as the bears and the bulls shared the spoils of war, though investor sentiment turned bullish compared with the preceding session’s bearish posture.
Data from the Nigerian Exchange (NGX) Limited showed that the All-Share Index (ASI) was marginally down by 4.66 points as it ended at 201,698.89 points versus Wednesday’s 201,703.55 points, and the market capitalisation slightly contracted by N3 billion to N129.806 trillion from N129.809 trillion.
Customs Street was shut on Friday because of the public holidays declared by the federal government today and next Monday.
Business Post reports that John Holt declined by 9.91 per cent to N15.45, Abbey Mortgage Bank shed 9.60 per cent to trade at N8.95, International Energy Insurance slipped by 6.48 per cent to N3.32, Chams shrank by 5.30 per cent to N3.75, and Tantalizers depreciated by 5.18 per cent to N4.03.
On the flip side, Unilever Nigeria improved by 10.00 per cent to N103.40, Fortis Global Insurance gained 9.82 per cent to trade at N1.23, Multiverse appreciated 9.81 per cent to N20.15, Legend Internet advanced by 9.38 per cent to N6.30, and Zichis grew by 9.02 per cent to N14.14.
The market breadth index was positive during the trading session, as there were 35 appreciating stocks and 24 depreciating stocks.
Yesterday, investors traded 560.0 million equities valued at N19.3 billion in 49,676 deals, in contrast to the 815.5 million equities worth N33.3 billion transacted in 52,641 deals in the preceding day, representing a drop in the trading volume, value, and number of deals by 31.33 per cent, 42.04 per cent, and 5.63 per cent, respectively.
Secure Electronic Technology dominated the activity log with 59.7 million shares valued at N61.1 million, Wema Bank exchanged 52.0 million equities worth N1.4 billion, VFD Group transacted 36.0 million stocks for N410.5 million, Access Holdings sold 35.3 million shares valued at N914.8 million, and Chams traded 31.0 million equities worth N115.0 million.
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