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⚡ NVIDIA SPINGE SULL’OPEN AI: SLURM NELL’ECOSISTEMA E NASCE NEMOTRON 3 ⚡
NVIDIA is aggressively strengthening its "open" AI strategy with a dual move: the acquisition of SchedMD, the developer of Slurm, and the launch of the new family of open-source models, Nemotron 3.
Slurm is the most widely used open-source workload manager in supercomputers and AI clusters for scheduling training and inference jobs, and NVIDIA has promised that it will remain vendor-neutral and open source, while integrating it more deeply with its GPUs and Blackwell architectures.
This means that researchers and companies will be able to better orchestrate huge heterogeneous clusters, optimizing throughput and costs for the training of LLMs and generative workloads.
In parallel, Nemotron 3 arrives, a new family of open models designed for advanced AI agents and multi-agent systems.
The line includes the Nano, Super, and Ultra variants, based on a hybrid Mixture-of-Experts architecture that aims to combine high accuracy, long-horizon reasoning, and lower inference costs, ideal for agents cooperating with each other in complex scenarios.
Nemotron 3 is released with training datasets, RL libraries (NeMo Gym, NeMo RL), and open-source evaluators on GitHub and Hugging Face, positioning NVIDIA as a supplier of a complete stack: GPUs, scheduler (Slurm), models (Nemotron), and tools for reinforcement learning.
For the market, the message is clear: NVIDIA wants to dominate not only AI hardware but also the open software infrastructure on which the next agents and "Physical AI" systems will run.
#breakingnews #NVIDIA #ArtificialInteligence
NVIDIA is aggressively strengthening its "open" AI strategy with a dual move: the acquisition of SchedMD, the developer of Slurm, and the launch of the new family of open-source models, Nemotron 3.
Slurm is the most widely used open-source workload manager in supercomputers and AI clusters for scheduling training and inference jobs, and NVIDIA has promised that it will remain vendor-neutral and open source, while integrating it more deeply with its GPUs and Blackwell architectures.
This means that researchers and companies will be able to better orchestrate huge heterogeneous clusters, optimizing throughput and costs for the training of LLMs and generative workloads.
In parallel, Nemotron 3 arrives, a new family of open models designed for advanced AI agents and multi-agent systems.
The line includes the Nano, Super, and Ultra variants, based on a hybrid Mixture-of-Experts architecture that aims to combine high accuracy, long-horizon reasoning, and lower inference costs, ideal for agents cooperating with each other in complex scenarios.
Nemotron 3 is released with training datasets, RL libraries (NeMo Gym, NeMo RL), and open-source evaluators on GitHub and Hugging Face, positioning NVIDIA as a supplier of a complete stack: GPUs, scheduler (Slurm), models (Nemotron), and tools for reinforcement learning.
For the market, the message is clear: NVIDIA wants to dominate not only AI hardware but also the open software infrastructure on which the next agents and "Physical AI" systems will run.
#breakingnews #NVIDIA #ArtificialInteligence
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92 Mind-Blowing AI Tools
Complete a month's work in just a few minutes with 92 mind-blowing AI Tools!
I have collected a massive list of the all-time best & most powerful AI tools from 14 different categories to boost productivity by 100x and save precious time.
From professional work to creative projects, from content creation to coding – your ultimate AI companion is ready here for any task! 🚀
I have collected a massive list of the all-time best & most powerful AI tools from 14 different categories to boost productivity by 100x and save precious time.
From professional work to creative projects, from content creation to coding – your ultimate AI companion is ready here for any task! 🚀
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🇺🇸🎯 THE PENTAGON CHOOSES GOOGLE GEMINI: ARTIFICIAL INTELLIGENCE ENTERS THE MILITARY ERA 🎯🇺🇸
The United States Department of Defense has announced the official adoption of Google Gemini, the powerful generative artificial intelligence model, for the military platform GenAi.mil.
Secretary of Defense Pete Hegseth commented: “The future of American warfare is here, and it’s called AI” — marking the beginning of a new phase in U.S. defensive strategy.
According to reports, the GenAi.mil platform will be used to analyze images, videos, and tactical data from various operational theaters in real-time.
The goal is to provide military commanders with an immediate strategic advantage, drastically reducing threat assessment and operational planning times.
Google, for its part, has assured that the Gemini model has been customized to ensure security, ethical control, and rigorous classification of sensitive data.
The collaboration raises questions about the use of artificial intelligence in warfare and the risks associated with increasingly automated decisions.
With this move, Washington aims to maintain technological supremacy in an environment where both China and Russia are also accelerating the development of their own military AI platforms.
#breakingnews #Google #GeminiAI #usa #ArtificialInteligence
The United States Department of Defense has announced the official adoption of Google Gemini, the powerful generative artificial intelligence model, for the military platform GenAi.mil.
Secretary of Defense Pete Hegseth commented: “The future of American warfare is here, and it’s called AI” — marking the beginning of a new phase in U.S. defensive strategy.
According to reports, the GenAi.mil platform will be used to analyze images, videos, and tactical data from various operational theaters in real-time.
The goal is to provide military commanders with an immediate strategic advantage, drastically reducing threat assessment and operational planning times.
Google, for its part, has assured that the Gemini model has been customized to ensure security, ethical control, and rigorous classification of sensitive data.
The collaboration raises questions about the use of artificial intelligence in warfare and the risks associated with increasingly automated decisions.
With this move, Washington aims to maintain technological supremacy in an environment where both China and Russia are also accelerating the development of their own military AI platforms.
#breakingnews #Google #GeminiAI #usa #ArtificialInteligence
If you didn't know, @Ocean Protocol constantly offers various opportunities to earn money 🧐
Whether you are a data scientist, just an enthusiast, or a trader, there are activities for you.
Right now, the main one is predictoor, where you can make predictions on the price movement of crypto assets.
If the outcome is positive, you earn money; if it is negative, you lose your bet.
There is also Active Data Annotations, where you can complete short tasks and get paid.
Anyone can participate here - the goal is to create high-quality data sets.
There was also the option of data farming, but this activity has been temporarily suspended.
#data #ArtificialInteligence
Whether you are a data scientist, just an enthusiast, or a trader, there are activities for you.
Right now, the main one is predictoor, where you can make predictions on the price movement of crypto assets.
If the outcome is positive, you earn money; if it is negative, you lose your bet.
There is also Active Data Annotations, where you can complete short tasks and get paid.
Anyone can participate here - the goal is to create high-quality data sets.
There was also the option of data farming, but this activity has been temporarily suspended.
#data #ArtificialInteligence
PLUMS is a meme-coin built on the Ethereum blockchain, launched in 2023 as a lighthearted tribute to an internet meme.
Its stated purpose is fun and community — aiming to appeal to crypto users who enjoy a playful, decentralized token rather than serious DeFi or smart-contract utility.
PLUMS proponents emphasize features like a “no-tax” policy (i.e. no trading/gain taxes) and a non-centralized supply distribution among wallets.
Because of its meme-coin status, PLUMS carries high volatility and speculative risk; its value depends heavily on market sentiment, community hype, and meme-driven demand rather than underlying fundamentals.
#BTCVSGOLD
#CPIWatch
#BinanceBlockchainWeek
#squarecreator
#ArtificialInteligence
$PLUME
Its stated purpose is fun and community — aiming to appeal to crypto users who enjoy a playful, decentralized token rather than serious DeFi or smart-contract utility.
PLUMS proponents emphasize features like a “no-tax” policy (i.e. no trading/gain taxes) and a non-centralized supply distribution among wallets.
Because of its meme-coin status, PLUMS carries high volatility and speculative risk; its value depends heavily on market sentiment, community hype, and meme-driven demand rather than underlying fundamentals.
#BTCVSGOLD
#CPIWatch
#BinanceBlockchainWeek
#squarecreator
#ArtificialInteligence
$PLUME
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🎯 BLOCK, ANTHROPIC AND OPENAI TOGETHER FOR AN OPEN SOURCE ARTIFICIAL INTELLIGENCE 🎯
The Linux Foundation has announced the birth of the Agentic AI Foundation (AAIF), a new initiative supported by Block (Jack Dorsey's company), Anthropic, and OpenAI.
The goal is to create a neutral and open source reference point in the development of autonomous AI agents, capable of acting, using tools, and making decisions independently.
The crucial point is the direction this technology will take: will it be an open and interoperable ecosystem, or will it end up locked inside the usual walled gardens controlled by tech giants?
The AAIF will coordinate key projects such as MCP, Goose, and AGENTSmd, set common standards for interoperability, fund conferences, and promote collaborative and transparent development of this new generation of intelligent software.
Among the founding members at the Platinum level are names like Amazon Web Services, Google, Microsoft, Bloomberg, and Cloudflare — a clear signal that the entire sector recognizes the significance of this change.
Without an open and shared approach, the risks are evident: slowed innovation, limited adoption, obstacles for small research teams, and less scientific progress.
The goal of the AAIF is to avoid this fragmentation, laying the groundwork for a future where agentic artificial intelligence becomes a collective good, developed in an ethical, transparent, and interoperable manner.
#breakingnews #block #Anthropic #OpenAI #ArtificialInteligence
The Linux Foundation has announced the birth of the Agentic AI Foundation (AAIF), a new initiative supported by Block (Jack Dorsey's company), Anthropic, and OpenAI.
The goal is to create a neutral and open source reference point in the development of autonomous AI agents, capable of acting, using tools, and making decisions independently.
The crucial point is the direction this technology will take: will it be an open and interoperable ecosystem, or will it end up locked inside the usual walled gardens controlled by tech giants?
The AAIF will coordinate key projects such as MCP, Goose, and AGENTSmd, set common standards for interoperability, fund conferences, and promote collaborative and transparent development of this new generation of intelligent software.
Among the founding members at the Platinum level are names like Amazon Web Services, Google, Microsoft, Bloomberg, and Cloudflare — a clear signal that the entire sector recognizes the significance of this change.
Without an open and shared approach, the risks are evident: slowed innovation, limited adoption, obstacles for small research teams, and less scientific progress.
The goal of the AAIF is to avoid this fragmentation, laying the groundwork for a future where agentic artificial intelligence becomes a collective good, developed in an ethical, transparent, and interoperable manner.
#breakingnews #block #Anthropic #OpenAI #ArtificialInteligence
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🇺🇸 TRUMP WANTS TO ELIMINATE STATE LAWS ON AI: WHAT REALLY CHANGES 🇺🇸
Donald Trump has promised an executive order to create a single federal "rulebook" on artificial intelligence, effectively abolishing the patchwork of regulations approved by individual states on deepfakes, privacy, labor, and model security.
In a post on Truth Social, he warned that 50 different rules would "destroy AI in its infancy" and make it impossible for companies to obtain dozens of approvals for every new product.
According to reports, the order would task Attorney General Pam Bondi with creating an AI Litigation Task Force to take states to court, arguing that many AI laws violate interstate commerce or are preempted by federal regulations.
Meanwhile, some agencies could threaten to cut federal funds for broadband and other programs to states deemed too "hostile" towards big AI tech.
This comes as all 50 states have introduced AI legislation in 2025, and at least 38 have already approved nearly 100 measures, often on electoral deepfakes, algorithmic discrimination in the workplace, and risk assessment obligations for large models.
Many governors, attorneys general, and state legislators – both Republicans and Democrats – accuse Trump of federal "overreach" and defend states' rights to protect consumers, workers, and the democratic process.
On the opposite side, giants like OpenAI, Google, and ventures like Andreessen Horowitz have been pushing for federal preemption for months, arguing that a regulatory patchwork penalizes startups and U.S. innovation compared to China and other competitors.
At stake is not just who writes the rules of AI, but who will control the political and economic power of this infrastructure in the coming years.
#breakingnews #TRUMP #usa #ArtificialInteligence
Donald Trump has promised an executive order to create a single federal "rulebook" on artificial intelligence, effectively abolishing the patchwork of regulations approved by individual states on deepfakes, privacy, labor, and model security.
In a post on Truth Social, he warned that 50 different rules would "destroy AI in its infancy" and make it impossible for companies to obtain dozens of approvals for every new product.
According to reports, the order would task Attorney General Pam Bondi with creating an AI Litigation Task Force to take states to court, arguing that many AI laws violate interstate commerce or are preempted by federal regulations.
Meanwhile, some agencies could threaten to cut federal funds for broadband and other programs to states deemed too "hostile" towards big AI tech.
This comes as all 50 states have introduced AI legislation in 2025, and at least 38 have already approved nearly 100 measures, often on electoral deepfakes, algorithmic discrimination in the workplace, and risk assessment obligations for large models.
Many governors, attorneys general, and state legislators – both Republicans and Democrats – accuse Trump of federal "overreach" and defend states' rights to protect consumers, workers, and the democratic process.
On the opposite side, giants like OpenAI, Google, and ventures like Andreessen Horowitz have been pushing for federal preemption for months, arguing that a regulatory patchwork penalizes startups and U.S. innovation compared to China and other competitors.
At stake is not just who writes the rules of AI, but who will control the political and economic power of this infrastructure in the coming years.
#breakingnews #TRUMP #usa #ArtificialInteligence
AI-powered trading results on the BEL, EDU, ZEN, PHB, and DUSK Crypto markets: +1323% Return
1. Overview — AI Trading Breakthroughs Capturing Market Momentum
In 2025, financial markets are witnessing a historic transformation as artificial intelligence expands its role in trading. Tickeron, a pioneer in AI-driven analytics, continues to push the frontier with its latest AI Trading Robot operating on BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD. Delivering an astonishing annualized return of +1323% and over $155,603 in closed-trade profit from $2,000 per trade across just 128 days, the robot demonstrates how machine learning, predictive analytics, and rapid-interval FLMs redefine modern crypto trading.
This automated agent, trading both long and short positions, leverages deep-trained Financial Learning Models to detect micro-trends before human traders react—making it one of Tickeron’s most impressive AI-powered achievements to date.
2. Key Takeaways
+1323% annualized return on BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD, verified over 128 days.AI multi-algorithmic confirmation, combining predictive analytics with real-time ML signals.Long + short strategy, enabling high performance in rising or falling crypto markets.FLM upgrades enabling new 15-min and 5-min AI Agents responding faster than ever.Ideal for beginners and professionals, offering guided automation and advanced risk controls.
3. Top Global Market Events Influencing Today’s Landscape
As AI trading accelerates, markets across crypto, equities, and commodities are experiencing heightened volatility:
Bitcoin recently retested multi-month highs, driven by institutional accumulation and ETF inflows, creating a spill-over effect boosting altcoin momentum.ETH gas fees dropped to multi-year lows, encouraging renewed DeFi activity and attracting liquidity into mid-cap assets like BEL, EDU, and ZEN.U.S. CPI data softened, fueling risk-asset rallies and giving intraday traders more opportunities during volatility spikes.AI-themed stocks surged globally, with chip manufacturers hitting fresh annual highs, reflecting growing confidence in AI automation across industries.Altcoin rotation remains strong, benefiting algorithmic trading systems that capitalize on micro-reversals and momentum surges.
These events have amplified the effectiveness of Tickeron’s 60-min AI agent and significantly increased signal accuracy in fast-moving crypto assets.
4. Tickeron’s Robot Achievements and Innovations
Tickeron continues enhancing its AI trading infrastructure, unlocking new layers of intelligence:
Corridor Models
Identify structured price channels and exploit overbought/oversold conditions.
Single Agents, Double Agents, Multi-Agents
These advanced ML systems combine layered confirmations, each validating the other before execution.
Inverse ETFs & Crypto Models
Allow the AI to profit from bearish periods with precision-timed short entries.
Day & Swing Trading Models
Optimized for traders needing rapid signals (5-min, 15-min) or mid-range strategies (60-min).
Momentum + Price Action Fusion
FLMs merge classical technical analysis with deep machine learning to confirm breakouts, reversals, and consolidation breaks.
Noise-Filtering Technology
Removes weak or misleading signals, dramatically improving accuracy during high volatility.
Tickeron’s continuous evolution ensures traders receive smarter, faster, and more adaptive AI automation.
5. General Information — The Power of 60-Minute FLM Trading
The 60-minute AI Trading Agent blends predictive analytics and real-time decision-making. This trading system:
Utilizes Financial Learning Models (FLMs) trained on vast multi-year datasets.
Detects patterns and anomalies earlier than traditional indicators.Provides dynamic profit targets (3%–20%) based on volatility.Uses adaptive stop-losses that expand or contract depending on market speed.Applies layered entries and exits to reduce risk and optimize gain extraction.Continuously learns via real-time data ingestion.
This makes the agent powerful for both novice and institutional-level traders.
6. Other AI Products by Tickeron
Tickeron offers a growing ecosystem of AI-powered tools designed for equities, crypto, ETFs, and forex:
AI Trend Prediction Engine – ViewAI Pattern Search Engine – ViewAI Real-Time Patterns – ViewAI Screener – ViewDaily Buy/Sell Signals – ViewCopy Trading – ViewBot Trading + Virtual Agents – ViewSignal Agents – View
Real-Money Robots – View
Each product integrates proprietary FLMs, enabling seamless automation across markets.
7. FLMs at the Core + Tickeron CEO’s Vision for the Future
Tickeron’s Financial Learning Models (FLMs) form the intelligence engine behind all AI Agents. Similar to how OpenAI’s LLMs process language, FLMs analyze massive quantities of:
These upgraded models now power 15-minute and 5-minute AI Agents, providing much faster learning cycles and ultra-responsive decision-making.
Tickeron’s CEO, Sergey Savastiouk, Ph.D., emphasizes the mission:
“Accelerating ML cycles to 15 and even 5 minutes brings a new level of precision and adaptability not previously achievable.”
This technological leap democratizes institutional-grade AI trading tools, making advanced automation accessible to all investors.
Explore the latest agents here:
AI Agents
Bot Trading
Follow news updates:
Tickeron on X
8. Comparison Table — Evolution of Tickeron Robots
Robot GenerationML TimeframeSignal SpeedStrengthsIdeal ForGen 1 (Classic)60 minModerateLong-term precision, stable entriesSwing tradersGen 2 (Enhanced FLMs)30 minFasterBetter volatility responseDay tradersGen 3 (Rapid ML)15 minHighIntraday timing, improved reversalsActive tradersGen 4 (Ultra-Fast ML)5 minVery HighMicro-trend detection, fast exitsScalpers / high-frequencyGen 5 (Hybrid Multi-Agent)Multi-TFVery HighCombined confirmations, multi-agent logicProfessionals & funds
Conclusion — A New Era of AI-Driven Crypto Trading
Tickeron’s AI Trading Robot for BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD showcases how advanced machine learning can outperform traditional trading methods. With a remarkable +1323% annualized return, multi-agent modeling, predictive analytics, and the launch of 5-min and 15-min AI Agents, the platform is setting new industry standards.
As markets evolve, traders armed with Tickeron’s FLM-powered tools gain the speed, accuracy, and adaptability required for success in an increasingly competitive global environment.
Explore all products, agents, and robots at Tickeron.com.
$BEL $ZEN $DUSK
#HotTrends #TradingSignals #ArtificialInteligence #Tickeron #news
In 2025, financial markets are witnessing a historic transformation as artificial intelligence expands its role in trading. Tickeron, a pioneer in AI-driven analytics, continues to push the frontier with its latest AI Trading Robot operating on BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD. Delivering an astonishing annualized return of +1323% and over $155,603 in closed-trade profit from $2,000 per trade across just 128 days, the robot demonstrates how machine learning, predictive analytics, and rapid-interval FLMs redefine modern crypto trading.
This automated agent, trading both long and short positions, leverages deep-trained Financial Learning Models to detect micro-trends before human traders react—making it one of Tickeron’s most impressive AI-powered achievements to date.
2. Key Takeaways
+1323% annualized return on BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD, verified over 128 days.AI multi-algorithmic confirmation, combining predictive analytics with real-time ML signals.Long + short strategy, enabling high performance in rising or falling crypto markets.FLM upgrades enabling new 15-min and 5-min AI Agents responding faster than ever.Ideal for beginners and professionals, offering guided automation and advanced risk controls.
3. Top Global Market Events Influencing Today’s Landscape
As AI trading accelerates, markets across crypto, equities, and commodities are experiencing heightened volatility:
Bitcoin recently retested multi-month highs, driven by institutional accumulation and ETF inflows, creating a spill-over effect boosting altcoin momentum.ETH gas fees dropped to multi-year lows, encouraging renewed DeFi activity and attracting liquidity into mid-cap assets like BEL, EDU, and ZEN.U.S. CPI data softened, fueling risk-asset rallies and giving intraday traders more opportunities during volatility spikes.AI-themed stocks surged globally, with chip manufacturers hitting fresh annual highs, reflecting growing confidence in AI automation across industries.Altcoin rotation remains strong, benefiting algorithmic trading systems that capitalize on micro-reversals and momentum surges.
These events have amplified the effectiveness of Tickeron’s 60-min AI agent and significantly increased signal accuracy in fast-moving crypto assets.
4. Tickeron’s Robot Achievements and Innovations
Tickeron continues enhancing its AI trading infrastructure, unlocking new layers of intelligence:
Corridor Models
Identify structured price channels and exploit overbought/oversold conditions.
Single Agents, Double Agents, Multi-Agents
These advanced ML systems combine layered confirmations, each validating the other before execution.
Inverse ETFs & Crypto Models
Allow the AI to profit from bearish periods with precision-timed short entries.
Day & Swing Trading Models
Optimized for traders needing rapid signals (5-min, 15-min) or mid-range strategies (60-min).
Momentum + Price Action Fusion
FLMs merge classical technical analysis with deep machine learning to confirm breakouts, reversals, and consolidation breaks.
Noise-Filtering Technology
Removes weak or misleading signals, dramatically improving accuracy during high volatility.
Tickeron’s continuous evolution ensures traders receive smarter, faster, and more adaptive AI automation.
5. General Information — The Power of 60-Minute FLM Trading
The 60-minute AI Trading Agent blends predictive analytics and real-time decision-making. This trading system:
Utilizes Financial Learning Models (FLMs) trained on vast multi-year datasets.
Detects patterns and anomalies earlier than traditional indicators.Provides dynamic profit targets (3%–20%) based on volatility.Uses adaptive stop-losses that expand or contract depending on market speed.Applies layered entries and exits to reduce risk and optimize gain extraction.Continuously learns via real-time data ingestion.
This makes the agent powerful for both novice and institutional-level traders.
6. Other AI Products by Tickeron
Tickeron offers a growing ecosystem of AI-powered tools designed for equities, crypto, ETFs, and forex:
AI Trend Prediction Engine – ViewAI Pattern Search Engine – ViewAI Real-Time Patterns – ViewAI Screener – ViewDaily Buy/Sell Signals – ViewCopy Trading – ViewBot Trading + Virtual Agents – ViewSignal Agents – View
Real-Money Robots – View
Each product integrates proprietary FLMs, enabling seamless automation across markets.
7. FLMs at the Core + Tickeron CEO’s Vision for the Future
Tickeron’s Financial Learning Models (FLMs) form the intelligence engine behind all AI Agents. Similar to how OpenAI’s LLMs process language, FLMs analyze massive quantities of:
These upgraded models now power 15-minute and 5-minute AI Agents, providing much faster learning cycles and ultra-responsive decision-making.
Tickeron’s CEO, Sergey Savastiouk, Ph.D., emphasizes the mission:
“Accelerating ML cycles to 15 and even 5 minutes brings a new level of precision and adaptability not previously achievable.”
This technological leap democratizes institutional-grade AI trading tools, making advanced automation accessible to all investors.
Explore the latest agents here:
AI Agents
Bot Trading
Follow news updates:
Tickeron on X
8. Comparison Table — Evolution of Tickeron Robots
Robot GenerationML TimeframeSignal SpeedStrengthsIdeal ForGen 1 (Classic)60 minModerateLong-term precision, stable entriesSwing tradersGen 2 (Enhanced FLMs)30 minFasterBetter volatility responseDay tradersGen 3 (Rapid ML)15 minHighIntraday timing, improved reversalsActive tradersGen 4 (Ultra-Fast ML)5 minVery HighMicro-trend detection, fast exitsScalpers / high-frequencyGen 5 (Hybrid Multi-Agent)Multi-TFVery HighCombined confirmations, multi-agent logicProfessionals & funds
Conclusion — A New Era of AI-Driven Crypto Trading
Tickeron’s AI Trading Robot for BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD showcases how advanced machine learning can outperform traditional trading methods. With a remarkable +1323% annualized return, multi-agent modeling, predictive analytics, and the launch of 5-min and 15-min AI Agents, the platform is setting new industry standards.
As markets evolve, traders armed with Tickeron’s FLM-powered tools gain the speed, accuracy, and adaptability required for success in an increasingly competitive global environment.
Explore all products, agents, and robots at Tickeron.com.
$BEL $ZEN $DUSK
#HotTrends #TradingSignals #ArtificialInteligence #Tickeron #news
🚨 Robots Doing Works! Humans Reap The Rewards.
🤝📎📲📞 In my Profile Bio
#INNOVATION
#ArtificialInteligence
#Weeklypayout
#stable-traders
$SOL
$XRP
$BTC
🤝📎📲📞 In my Profile Bio
#INNOVATION
#ArtificialInteligence
#Weeklypayout
#stable-traders
$SOL
$XRP
$BTC
🚨WHY WE NEED LOWER INTEREST RATES IN AMERICA 🇺🇸
The main reason we need much lower #interestrates in America is because the economy is getting smacked with multiple deflationary forces.
#ArtificialInteligence is empowering companies to drive more profits with fewer employees. This is deflationary.
Robotics is squeezing inefficiency out of companies, factories, traffic, and warehouses. This is deflationary.
Deportations are reducing the number of people available for certain jobs, while driving down demand for homes, food, and gas. This is deflationary.
$BTC
If you have these generational deflationary trends hitting the US economy, yet you keep interest rates artificially high, America will end up in a very bad place.
The situation is clear. Technology and immigration policy are changing the structure of the economy.
Lower rates are essential for the foreseeable future.
ALWAYS DYOR 💯💯💯💯
#interestrates #Inflation
$SOL
#ArtificialInteligence is empowering companies to drive more profits with fewer employees. This is deflationary.
Robotics is squeezing inefficiency out of companies, factories, traffic, and warehouses. This is deflationary.
Deportations are reducing the number of people available for certain jobs, while driving down demand for homes, food, and gas. This is deflationary.
$BTC
If you have these generational deflationary trends hitting the US economy, yet you keep interest rates artificially high, America will end up in a very bad place.
The situation is clear. Technology and immigration policy are changing the structure of the economy.
Lower rates are essential for the foreseeable future.
ALWAYS DYOR 💯💯💯💯
#interestrates #Inflation
$SOL
🤯 The $12.5 BILLION Debt Drop: Did the US Treasury Just Go Rogue? 🚨 Alright, buckle up, because t
Alright, buckle up, because the suits in D.C. just pulled off a financial stunt that's pure, unadulterated chaos. We're not talking about some standard quarter-end shuffle; we're talking about a $12.5 BILLION debt repurchase—the biggest damn buyback in U.S. history. Seriously, $12.5B just poof went back into the Treasury's pocket.
The official word? Crickets. The market reaction? A collective, slack-jawed "WTF."
This isn't just an unexpected trade; it's a financial mic drop. Governments don't do this kind of heavy lifting without a reason, especially when the global economy is feeling wobbly. So, let's unpack the spicy theories cooking on the financial grills:
The Yield Stabilizer: They're trying to inject some calm into the long-term bond market before things get truly manic. A boring, but plausible, move from the boring people.
The Stealth Restructure: This is the juicy one. A quiet liquidity play, prepping the ground for some massive, structural overhaul of the entire financial system. Think of it as moving furniture before the major renovation.
The Coded Warning: The darkest, most intriguing theory. That this buyback is the signal—a blinking, flashing alert that the major economic shift everyone's been dreading is already underway, just out of public view.
Then, just to throw gasoline on the bonfire, in walks President Trump. He didn't just comment; he hinted. A vague, but massive, signal that this $12.5B bombshell might just be the appetizer for a much, much larger economic feast we haven't even seen the menu for yet.
🪙 The Crypto Chaos Engine is Revving
Of course, when the traditional system starts shaking, the digital wild west puts on its boots. The crypto streets are absolutely buzzing, sensing volatility like a shark smells blood. Keep your eyes locked on the tickers:
$RED is looking a little bruised at -14.21%. Is this a knee-jerk, or a deep correction?
$SAPIEN is showing a softer dip at -4.22%.
$VOXEL is actually trying to rise from the ashes, up +1.69%.
The message is clear: the most powerful government on Earth just made a challenge with $12.5B, and it wasn't an accident.
#ArtificialInteligence
#usa #billion #farmancryptoo
The official word? Crickets. The market reaction? A collective, slack-jawed "WTF."
This isn't just an unexpected trade; it's a financial mic drop. Governments don't do this kind of heavy lifting without a reason, especially when the global economy is feeling wobbly. So, let's unpack the spicy theories cooking on the financial grills:
The Yield Stabilizer: They're trying to inject some calm into the long-term bond market before things get truly manic. A boring, but plausible, move from the boring people.
The Stealth Restructure: This is the juicy one. A quiet liquidity play, prepping the ground for some massive, structural overhaul of the entire financial system. Think of it as moving furniture before the major renovation.
The Coded Warning: The darkest, most intriguing theory. That this buyback is the signal—a blinking, flashing alert that the major economic shift everyone's been dreading is already underway, just out of public view.
Then, just to throw gasoline on the bonfire, in walks President Trump. He didn't just comment; he hinted. A vague, but massive, signal that this $12.5B bombshell might just be the appetizer for a much, much larger economic feast we haven't even seen the menu for yet.
🪙 The Crypto Chaos Engine is Revving
Of course, when the traditional system starts shaking, the digital wild west puts on its boots. The crypto streets are absolutely buzzing, sensing volatility like a shark smells blood. Keep your eyes locked on the tickers:
$RED is looking a little bruised at -14.21%. Is this a knee-jerk, or a deep correction?
$SAPIEN is showing a softer dip at -4.22%.
$VOXEL is actually trying to rise from the ashes, up +1.69%.
The message is clear: the most powerful government on Earth just made a challenge with $12.5B, and it wasn't an accident.
#ArtificialInteligence
#usa #billion #farmancryptoo
❓Can AI Really Predict Crypto Prices? $XRP , $BTC & $SOL by the End of 2025
AI-generated price predictions for crypto are all the rage - but how reliable are they? On CryptoNews recent projections from ChatGPT suggest monumental swings for XRP, $BTC , and Solana by year-end:
XRP: Could drop to $0.80 or skyrocket to $15.
Bitcoin: Might retreat to $75,000 or rally toward $230,000.
Solana: AI sees a downside to $30 or a bullish wave up to $1,200.
Impressive numbers, right? 😄
But real-world results tell a different story.
Historical examples show AI predictions often miss both magnitude and timing. Price shocks, regulatory updates, whale moves, or a single viral tweet can completely invalidate a model’s forecast.
As one analysis points out: AI is a fantastic tool for analysis and insights, but a terrible oracle for precise crypto predictions. Emotions, panic, memes, and market psychology are what truly move crypto - not just data.
▪ Bitcoin: On September 17, 2025, AI predicted BTC would be around $125,000 in two months. By November 26, it was trading near $86,700 - far below the forecast.
▪ WhiteBIT Coin: AI expected $46–50, but the coin hit $62.96 shortly after - showing AI underestimated its resilience.
▪ XRP: AI predicted $3.20 in two months; it was trading at $2.20, missing both the local trends and market sentiment.
These examples show that AI struggles with magnitude, timing, and unexpected volatility.
💡 Use AI to inform, not to blindly trade. Crypto markets are human-driven chaos - and no algorithm can fully predict that.
#BTCVSGOLD #BinanceBlockchainWeek #AITrading #ArtificialInteligence
AI-generated price predictions for crypto are all the rage - but how reliable are they? On CryptoNews recent projections from ChatGPT suggest monumental swings for XRP, $BTC , and Solana by year-end:
XRP: Could drop to $0.80 or skyrocket to $15.
Bitcoin: Might retreat to $75,000 or rally toward $230,000.
Solana: AI sees a downside to $30 or a bullish wave up to $1,200.
Impressive numbers, right? 😄
But real-world results tell a different story.
Historical examples show AI predictions often miss both magnitude and timing. Price shocks, regulatory updates, whale moves, or a single viral tweet can completely invalidate a model’s forecast.
As one analysis points out: AI is a fantastic tool for analysis and insights, but a terrible oracle for precise crypto predictions. Emotions, panic, memes, and market psychology are what truly move crypto - not just data.
▪ Bitcoin: On September 17, 2025, AI predicted BTC would be around $125,000 in two months. By November 26, it was trading near $86,700 - far below the forecast.
▪ WhiteBIT Coin: AI expected $46–50, but the coin hit $62.96 shortly after - showing AI underestimated its resilience.
▪ XRP: AI predicted $3.20 in two months; it was trading at $2.20, missing both the local trends and market sentiment.
These examples show that AI struggles with magnitude, timing, and unexpected volatility.
💡 Use AI to inform, not to blindly trade. Crypto markets are human-driven chaos - and no algorithm can fully predict that.
#BTCVSGOLD #BinanceBlockchainWeek #AITrading #ArtificialInteligence
See original
Crypto AI Sector Turns Bearish as Market Cap Drops 15% in 24 Hours
Crypto AI agents were one of the most talked-about stories in the crypto space, with projects like VIRTUAL, $CGPT , and AI16Z hitting record valuations.
However, the sector has struggled since mid-January as sentiment changed and DeepSeek’s influence further accelerated the ongoing correction.
As a result, market caps have plummeted and investors are now re-evaluating the sustainability of AI-powered blockchain projects. While a rebound is still possible, the entire crypto AI sector needs renewed confidence to regain momentum.
The sector has faced heavy losses since January 15, especially after DeepSeek started affecting the broader AI market, further impacting an already ongoing correction. This shift in sentiment triggered a sell-off, wiping out a significant portion of recent gains.
Over the past 24 hours, the Crypto AI Agents sector has fallen by 15%, with its market cap now at $8 billion. The top 10 tokens in the sector have declined, with AI16Z falling by 17.9% over the past day and 46.7% over the past month. The sell-off shows no signs of slowing down yet.
For #ArtificialInteligence Agents tokens to regain their momentum, the entire crypto AI sector needs a strong rally. Meanwhile, many investors are questioning valuations and re-evaluating their positions, especially after DeepSeek’s impact on the market.
Without renewed confidence in AI-powered projects, recovery remains uncertain. A broader shift in sentiment and new catalysts will be needed for AI coins to start climbing again.
Crypto AI agents were one of the most talked-about stories in the crypto space, with projects like VIRTUAL, $CGPT , and AI16Z hitting record valuations.
However, the sector has struggled since mid-January as sentiment changed and DeepSeek’s influence further accelerated the ongoing correction.
As a result, market caps have plummeted and investors are now re-evaluating the sustainability of AI-powered blockchain projects. While a rebound is still possible, the entire crypto AI sector needs renewed confidence to regain momentum.
The sector has faced heavy losses since January 15, especially after DeepSeek started affecting the broader AI market, further impacting an already ongoing correction. This shift in sentiment triggered a sell-off, wiping out a significant portion of recent gains.
Over the past 24 hours, the Crypto AI Agents sector has fallen by 15%, with its market cap now at $8 billion. The top 10 tokens in the sector have declined, with AI16Z falling by 17.9% over the past day and 46.7% over the past month. The sell-off shows no signs of slowing down yet.
For #ArtificialInteligence Agents tokens to regain their momentum, the entire crypto AI sector needs a strong rally. Meanwhile, many investors are questioning valuations and re-evaluating their positions, especially after DeepSeek’s impact on the market.
Without renewed confidence in AI-powered projects, recovery remains uncertain. A broader shift in sentiment and new catalysts will be needed for AI coins to start climbing again.
$XRP Swing Trader
Annualized Return +87%
#HotTrends #TradingSignals #TradingShot #ArtificialInteligence
Annualized Return +87%
#HotTrends #TradingSignals #TradingShot #ArtificialInteligence
$TAO struggling to keep up his position 💪💪💪
It's time to #ArtificialInteligence 🔥🔥🔥
Happy Trading $TAO Holder 🥳🥳🥳
Bittensor is pioneering the decentralized production of artificial intelligence.
#TAO
#USJoblessClaimsDrop
#AltcoinSeason2025
#BTCMove
It's time to #ArtificialInteligence 🔥🔥🔥
Happy Trading $TAO Holder 🥳🥳🥳
Bittensor is pioneering the decentralized production of artificial intelligence.
#TAO
#USJoblessClaimsDrop
#AltcoinSeason2025
#BTCMove
$OM in +8.86% Uptrend, growing for three consecutive days on March 24, 2025
OM.X AI Trading Bot Agent +183.52%
Moving higher for three straight days is viewed as a bullish sign. Keep an eye on this stock for future growth. Considering data from situations where OM.X advanced for three days, in 296 of 392 cases, the price rose further within the following month. The odds of a continued upward trend are 76%.
Technical Analysis (Indicators)
Bullish Trend Analysis
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 58 of 82 cases where OM.X's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 71%.
The Moving Average Convergence Divergence (MACD) for OM.X just turned positive on March 25, 2025. Looking at past instances where OM.X's MACD turned positive, the stock continued to rise in 45 of 61 cases over the following month. The odds of a continued upward trend are 74%.
OM.X may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
#HotTrends #TradingSignals #TechnicalAnalysis #signals #ArtificialInteligence
OM.X AI Trading Bot Agent +183.52%
Moving higher for three straight days is viewed as a bullish sign. Keep an eye on this stock for future growth. Considering data from situations where OM.X advanced for three days, in 296 of 392 cases, the price rose further within the following month. The odds of a continued upward trend are 76%.
Technical Analysis (Indicators)
Bullish Trend Analysis
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 58 of 82 cases where OM.X's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 71%.
The Moving Average Convergence Divergence (MACD) for OM.X just turned positive on March 25, 2025. Looking at past instances where OM.X's MACD turned positive, the stock continued to rise in 45 of 61 cases over the following month. The odds of a continued upward trend are 74%.
OM.X may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
#HotTrends #TradingSignals #TechnicalAnalysis #signals #ArtificialInteligence
💠 The Best AI Agents in 2025 🤖
💻 What makes these AI agents so Special? 🎯
🌐 THE Booming Narrative in Year 2025 🚀
✴️ Here’s a list of some top-performing AI agents, along with what makes them stand out:
1. AIXBT by Virtuals 🌐
AIXBT is an AI agent specializing in crypto trading on Bitcoin pairs. It offers automated strategies and real-time insights.
Unique Feature: Uses Virtuals Protocol to optimize trades with minimal human intervention.
2. Ai16z 🤖
Named after the famous crypto venture capital firm, AI16z focuses on predicting token performance and analyzing investment opportunities.
Unique Feature: Tracks market trends and provides actionable insights for both investors and traders.
3. Luna by Virtuals 🌐
Luna is a governance-focused AI agent. It assists in decentralized decision-making and proposal evaluations in DAOs. Luna is the first AI agent to employ a human.
Unique Feature: Helps improve participation in blockchain governance using smart algorithms.
4. Freysa AI 💻
Freysa is an all-rounder AI agent known for its use in market forecasting and portfolio management.
Unique Feature: Adapts its recommendations based on live data from multiple blockchains.
5. Dasha ⚕️
Dasha specializes in natural language processing, making it the perfect agent for customer service or community management in crypto projects.
Unique Feature: Interacts with users conversationally, ensuring smooth communication in decentralized platforms.
🎯 AI agents are driving change across industries like finance, gaming, and healthcare. They’re scalable, adaptable, and make things more efficient. In crypto, their ability to navigate complex ecosystems is a game-changer. 📈
✴️ Share your thoughts on AI Narrative in 2025. Will this year bring significant boom to Artificial intelligence Ecosystem. 🌐
🔸Kindly Follow The Feed for further Market insights & Share it with your fellow crypto enthusiasts.
#ArtificialInteligence
$FET
💻 What makes these AI agents so Special? 🎯
🌐 THE Booming Narrative in Year 2025 🚀
✴️ Here’s a list of some top-performing AI agents, along with what makes them stand out:
1. AIXBT by Virtuals 🌐
AIXBT is an AI agent specializing in crypto trading on Bitcoin pairs. It offers automated strategies and real-time insights.
Unique Feature: Uses Virtuals Protocol to optimize trades with minimal human intervention.
2. Ai16z 🤖
Named after the famous crypto venture capital firm, AI16z focuses on predicting token performance and analyzing investment opportunities.
Unique Feature: Tracks market trends and provides actionable insights for both investors and traders.
3. Luna by Virtuals 🌐
Luna is a governance-focused AI agent. It assists in decentralized decision-making and proposal evaluations in DAOs. Luna is the first AI agent to employ a human.
Unique Feature: Helps improve participation in blockchain governance using smart algorithms.
4. Freysa AI 💻
Freysa is an all-rounder AI agent known for its use in market forecasting and portfolio management.
Unique Feature: Adapts its recommendations based on live data from multiple blockchains.
5. Dasha ⚕️
Dasha specializes in natural language processing, making it the perfect agent for customer service or community management in crypto projects.
Unique Feature: Interacts with users conversationally, ensuring smooth communication in decentralized platforms.
🎯 AI agents are driving change across industries like finance, gaming, and healthcare. They’re scalable, adaptable, and make things more efficient. In crypto, their ability to navigate complex ecosystems is a game-changer. 📈
✴️ Share your thoughts on AI Narrative in 2025. Will this year bring significant boom to Artificial intelligence Ecosystem. 🌐
🔸Kindly Follow The Feed for further Market insights & Share it with your fellow crypto enthusiasts.
#ArtificialInteligence
$FET
The Role of Artificial Intelligence in the Cryptocurrency Market
Artificial Intelligence (AI) is revolutionizing numerous industries, and the cryptocurrency market is no exception. As the digital asset ecosystem continues to evolve, AI's role becomes increasingly significant, offering enhanced efficiency, security, and user experience. This article explores how AI is being integrated into the crypto market and its potential future impact.
AI-Powered Trading Algorithms
One of the most prominent applications of AI in the crypto market is through trading algorithms. These AI-powered bots analyze vast amounts of market data in real-time, identifying patterns and executing trades faster and more accurately than human traders. By leveraging machine learning, these algorithms can adapt to changing market conditions, potentially leading to higher profits and reduced risk.
Predictive Analytics
AI models are also employed for predictive analytics, forecasting price movements and market trends. By analyzing historical data, current market conditions, and various indicators, AI can provide valuable insights that help investors make informed decisions. This predictive capability is crucial in the highly volatile crypto market, where quick and accurate predictions can significantly impact investment strategies.
Fraud Detection and Security
Security remains a critical concern in the cryptocurrency market. AI systems play a vital role in detecting fraudulent activities and unusual transactions. These systems continuously monitor transactions, flagging suspicious activities in real-time and enhancing the overall security of cryptocurrency exchanges and wallets. By reducing the risk of fraud, AI helps build trust and reliability in the crypto ecosystem.
Decentralized Finance (DeFi) Innovations
AI is driving innovations in the Decentralized Finance (DeFi) sector. Smart contracts powered by AI can execute complex financial transactions autonomously, reducing the need for intermediaries and lowering costs. AI enhances the efficiency and scalability of DeFi platforms, making decentralized finance more accessible and user-friendly.
Customer Support and User Experience
AI chatbots and virtual assistants have become integral to enhancing user experience in the crypto market. These AI-driven tools provide instant support, answering queries, and resolving issues efficiently. By improving customer service, AI helps platforms retain users and build a loyal customer base.
Market Analysis and Insights
AI tools offer in-depth market analysis, providing investors with detailed reports and insights. These tools analyze vast amounts of data, offering a comprehensive view of market conditions, trends, and potential opportunities. This information is invaluable for investors looking to make strategic decisions in the fast-paced crypto market.
Notable AI Crypto Projects
Several notable projects are leveraging AI to transform the cryptocurrency market:
NEAR Protocol (NEAR): Utilizes AI to enhance its blockchain platform, offering scalable solutions for decentralized applications.Render (RENDER): Leverages AI for rendering graphics and animations, providing a decentralized platform for artists and developers.Bittensor (TAO): An AI-powered decentralized protocol aimed at creating an internet of machine learning models.Artificial Superintelligence Alliance (FET): Focuses on developing AI technologies integrated into blockchain solutions.
Future Prospects
The integration of AI in the cryptocurrency market is expected to grow, with more projects leveraging AI to improve efficiency, security, and user experience. As AI technology continues to advance, its impact on the cryptocurrency market will likely become even more significant.
In conclusion, AI is undeniably a game-changer in the cryptocurrency market. From trading algorithms and predictive analytics to fraud detection and DeFi innovations, AI is enhancing the way we interact with digital assets. As the technology evolves, its role will become even more integral, shaping the future of the cryptocurrency ecosystem and offering new opportunities for investors and users alike.
#ArtificialInteligence
AI-Powered Trading Algorithms
One of the most prominent applications of AI in the crypto market is through trading algorithms. These AI-powered bots analyze vast amounts of market data in real-time, identifying patterns and executing trades faster and more accurately than human traders. By leveraging machine learning, these algorithms can adapt to changing market conditions, potentially leading to higher profits and reduced risk.
Predictive Analytics
AI models are also employed for predictive analytics, forecasting price movements and market trends. By analyzing historical data, current market conditions, and various indicators, AI can provide valuable insights that help investors make informed decisions. This predictive capability is crucial in the highly volatile crypto market, where quick and accurate predictions can significantly impact investment strategies.
Fraud Detection and Security
Security remains a critical concern in the cryptocurrency market. AI systems play a vital role in detecting fraudulent activities and unusual transactions. These systems continuously monitor transactions, flagging suspicious activities in real-time and enhancing the overall security of cryptocurrency exchanges and wallets. By reducing the risk of fraud, AI helps build trust and reliability in the crypto ecosystem.
Decentralized Finance (DeFi) Innovations
AI is driving innovations in the Decentralized Finance (DeFi) sector. Smart contracts powered by AI can execute complex financial transactions autonomously, reducing the need for intermediaries and lowering costs. AI enhances the efficiency and scalability of DeFi platforms, making decentralized finance more accessible and user-friendly.
Customer Support and User Experience
AI chatbots and virtual assistants have become integral to enhancing user experience in the crypto market. These AI-driven tools provide instant support, answering queries, and resolving issues efficiently. By improving customer service, AI helps platforms retain users and build a loyal customer base.
Market Analysis and Insights
AI tools offer in-depth market analysis, providing investors with detailed reports and insights. These tools analyze vast amounts of data, offering a comprehensive view of market conditions, trends, and potential opportunities. This information is invaluable for investors looking to make strategic decisions in the fast-paced crypto market.
Notable AI Crypto Projects
Several notable projects are leveraging AI to transform the cryptocurrency market:
NEAR Protocol (NEAR): Utilizes AI to enhance its blockchain platform, offering scalable solutions for decentralized applications.Render (RENDER): Leverages AI for rendering graphics and animations, providing a decentralized platform for artists and developers.Bittensor (TAO): An AI-powered decentralized protocol aimed at creating an internet of machine learning models.Artificial Superintelligence Alliance (FET): Focuses on developing AI technologies integrated into blockchain solutions.
Future Prospects
The integration of AI in the cryptocurrency market is expected to grow, with more projects leveraging AI to improve efficiency, security, and user experience. As AI technology continues to advance, its impact on the cryptocurrency market will likely become even more significant.
In conclusion, AI is undeniably a game-changer in the cryptocurrency market. From trading algorithms and predictive analytics to fraud detection and DeFi innovations, AI is enhancing the way we interact with digital assets. As the technology evolves, its role will become even more integral, shaping the future of the cryptocurrency ecosystem and offering new opportunities for investors and users alike.
#ArtificialInteligence
$ETHFI Indicator enters downward trend
https://tickeron.com/ticker/ETHFI.X/?utm_source=ON&utm_campaign=BinanceSerhii&utm_content=Product
Day Trader: Crypto Pattern Trading in High-Volatility Markets (TA)23.26%
ETHFI.X AI Trading Bot Agent80.48%
https://tickeron.com/bot-trading/1535-ETHFI-X-AI-Trading-Bot-Agent?utm_source=Tickeron&utm_campaign=TickerPop-up&utm_content=Robotpage
The Aroon Indicator for ETHFI.X entered a downward trend on February 01, 2025. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 41 similar instances where the Aroon Indicator formed such a pattern. In 37 of the 41 cases the stock moved lower. This puts the odds of a downward move at 90%.
Technical Analysis (Indicators)
Bearish Trend Analysis
The Momentum Indicator moved below the 0 level on January 18, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on ETHFI.X as a result. In 11 of 16 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 69%.
The Moving Average Convergence Divergence Histogram (MACD) for ETHFI.X turned negative on January 19, 2025. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 9 similar instances when the indicator turned negative. In 7 of the 9 cases the stock turned lower in the days that followed. This puts the odds of success at 78%.
ETHFI.X moved below its 50-day moving average on January 07, 2025 date and that indicates a change from an upward trend to a downward trend.
#HotTrends #TradingSignals #ArtificialInteligence #signals #AI_AGENT
https://tickeron.com/ticker/ETHFI.X/?utm_source=ON&utm_campaign=BinanceSerhii&utm_content=Product
Day Trader: Crypto Pattern Trading in High-Volatility Markets (TA)23.26%
ETHFI.X AI Trading Bot Agent80.48%
https://tickeron.com/bot-trading/1535-ETHFI-X-AI-Trading-Bot-Agent?utm_source=Tickeron&utm_campaign=TickerPop-up&utm_content=Robotpage
The Aroon Indicator for ETHFI.X entered a downward trend on February 01, 2025. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 41 similar instances where the Aroon Indicator formed such a pattern. In 37 of the 41 cases the stock moved lower. This puts the odds of a downward move at 90%.
Technical Analysis (Indicators)
Bearish Trend Analysis
The Momentum Indicator moved below the 0 level on January 18, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on ETHFI.X as a result. In 11 of 16 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 69%.
The Moving Average Convergence Divergence Histogram (MACD) for ETHFI.X turned negative on January 19, 2025. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 9 similar instances when the indicator turned negative. In 7 of the 9 cases the stock turned lower in the days that followed. This puts the odds of success at 78%.
ETHFI.X moved below its 50-day moving average on January 07, 2025 date and that indicates a change from an upward trend to a downward trend.
#HotTrends #TradingSignals #ArtificialInteligence #signals #AI_AGENT
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