The NASDAQ Index gained around 0.6% and closed at 25,346 in the last week. The critical support is expected at 25,000 levels and next resistance is expected around 26,000 levels.
Micron Tech & Comcast were the strongest stocks for the week, rising around 10% and 9% respectively.
The NASDAQ Index is expected to gain this week
CRYPTO
What is the general sentiment for Crypto?
The sentiment towards the cryptocurrency market remained in the FEAR zone. Compared to last week, the Fear & Greed Index increased to “25” from the previous level of “16”
CVDD-TOP CAP PRICE CHART INDICATOR
Bitcoin is expected to continue its upward movement. As per the Terminal price model, Bitcoin’s cycle top price prediction is around $291,000
Bitcoin chart
$BTC stayed flat and closed at 88.6K in the last week. The immediate support is expected at $80K and resistance is expected at $100K. Bitcoin is expected to bounce back from the lower end of the regression channel.
ETH/USDT
$ETH remained flat and closed at $3k in the last week. An immediate support is expected around $2800 and resistance is expected around $3500 levels. ETH is expected to bounce back this week
Strong momentum tokens to watch for – UNI & SKY
NIFTY
The Nifty50 Index stayed flat and closed at 25,966 in the last week. An immediate support is expected around 25,650 and resistance is expected around 26,400 levels. Nifty is expected to gain this week
Sector expected to perform in the coming week – Metals & Auto
PICK OF THE WEEK – LGBBROSLTD
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The NASDAQ Index corrected around 2% and closed at 25,192 in the last week. The critical support is expected at 25,000 levels and next resistance is expected around 26,000 levels.
Pepsico & Regeneron pharma were the strongest stocks for the week, rising around 4% and 3% respectively.
The NASDAQ Index is expected to bounce back this week
CRYPTO
What is the general sentiment for Crypto?
The sentiment towards the cryptocurrency market remained in the FEAR zone. Compared to last week, the Fear & Greed Index decreased to “16” from the previous level of “20”
CVDD-TOP CAP PRICE CHART INDICATOR
Bitcoin is expected to continue its upward movement. As per the Terminal price model, Bitcoin’s cycle top price prediction is around $290,000
Bitcoin chart
$BTC corrected around 2.5% and closed at 88K in the last week. The immediate support is expected at $80K and resistance is expected at $100K. Bitcoin is expected to bounce back as it trades at the lower end of the regression channel.
ETH/USDT
$ETH remained flat and closed at $3.1k in the last week. An immediate support is expected around $2800 and resistance is expected around $3500 levels. ETH is expected to bounce back this week
Strong momentum tokens to watch for – CHZ & AAVE
NIFTY
The Nifty50 Index corrected by 0.5% and closed at 26,046 in the last week. An immediate support is expected around 25,650 and resistance is expected around 26,700 levels. Nifty is expected to gain this week
Sector expected to perform in the coming week – Metals & Financials
PICK OF THE WEEK – HINDCOPPER
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The NASDAQ Index gained around 1.5% and made new all time high in the last week. The critical support is expected at 22,000 levels and next resistance is expected around 23,300 levels.
Applied Materials, Nvidia and Alphabet were the strongest stocks for the week, rising around 11%, 10% and 9% respectively.
The NASDAQ Index is expected to continue the upward momentum.
CRYPTO
What is the general sentiment for Crypto?
The sentiment towards the cryptocurrency market remained in the GREED zone. Compared to last week, the Fear & Greed Index increased to “73” from the previous level of “67”
CVDD-TOP CAP PRICE CHART INDICATOR
Bitcoin is expected to continue its upward movement. As per the above model, Bitcoin’s cycle top price prediction is around $235,000
Bitcoin chart
$BTC gained around 1% and closed at 109k in the last week. The immediate support is now expected at $100K and resistance is expected at $112K. Bitcoin is expected to continue its upward momentum.
ETH/USDT
$ETH gained around 3% and closed at $2570 in the last week. An immediate support is expected around $2100 and resistance is expected around $3000 levels. ETH is expected to gain momentum from here
NIFTY
The Nifty50 remained flat around 25,500 levels in the last week. An immediate support is expected around 24,500 and resistance is expected around 26,300 levels. Nifty is expected to continue its upward momentum.
Sector expected to perform in the coming week – Consumer Durables, Pharma and PSU banks
PICK OF THE WEEK – ABDL
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The NASDAQ Index has corrected around 2.3%. The next critical support is expected at 16,500 levels and resistance is expected around 19,300 levels for the coming week.
J&J, Boeing and Goldman Sachs were the top gainers for the week, rising around 3.9%, 3.4% and 3.2% respectively.
The NASDAQ Index is looking oversold and is expected to bounce back in the coming week
CRYPTO
What is the general sentiment for Crypto?
The sentiment towards the cryptocurrency market is in the FEAR zone. Compared to last week, the Fear & Greed Index increased to “39” from the previous level of “31”
CVDD-TOP CAP PRICE CHART INDICATOR
Bitcoin is expected to continue its upward movement. As per the above model, Bitcoin’s cycle top price prediction is around $205,000
Bitcoin chart$BTC’s price gained around 1.7% in the previous week. The immediate support is expected at $73K and resistance is expected at $88K. Bitcoin has bounced from the support level around 75k and is expected to gain in the coming week
ETH/BTC
ETH/BTC pair in the last week, corrected by around 3%. An immediate support is expected at 0.0180 level and resistance is expected at 0.020 levels. ETH is expected to bounce back from this level.
NIFTY
Nifty bounced back from the support levels of 22k and gained around 4.5% last week. An immediate support is expected around 22,000 levels and resistance is expected around 24,200. Nifty looks bottomed, and the reversal is expected around these levels.
PICK OF THE WEEK – HAL
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AI Agents and Their Role: How They Transform Automation & Decision-Making
Artificial Intelligence (AI) agents are transforming the way technology interacts with users, enabling autonomous decision-making, problem-solving, and workflow optimization. These agents are not just limited to answering questions but can execute tasks, interact with external systems, and continuously improve their responses through feedback mechanisms.
What Are AI Agents?
AI agents are autonomous systems or programs designed to perform tasks on behalf of users or other systems. Unlike traditional AI models, these agents actively interact with external environments, execute actions, and refine their decision-making processes over time.
By leveraging Large Language Models (LLMs) and advanced natural language processing (NLP), AI agents comprehend complex instructions and determine the best tools to achieve their assigned goals. These capabilities make AI agents useful in fields ranging from customer service and IT automation to financial decision-making and medical diagnostics.
How AI Agents Work
At their core, AI agents operate through a structured framework that includes three major stages:
Goal Initialization and Planning
AI agents require goals defined by humans or other systems.
They perform task decomposition, breaking complex goals into manageable subtasks.
Planning is key for optimizing workflows and making informed decisions.
Reasoning and Tool Utilization
AI agents use external tools, APIs, databases, and even other agents to gather information.
They dynamically reassess their plan and adjust actions based on newly acquired knowledge.
This approach allows them to fill information gaps and refine their responses iteratively.
Learning and Reflection
AI agents improve over time using feedback mechanisms.
They store learned information and user feedback to enhance future interactions.
Multi-agent feedback systems minimize the need for continuous human supervision.
Agentic vs. Non-Agentic AI Chatbots
AI chatbots are categorized into two types:
Non-Agentic Chatbots
Limited to predefined responses and short-term interactions.
Cannot plan ahead or learn from mistakes.
Require continuous user input.
Agentic AI Chatbots
Learn from past interactions to enhance future responses.
Use external tools and reasoning paradigms to complete complex tasks.
Can create and update plans autonomously.
Reasoning Paradigms in AI Agents
AI agents rely on different reasoning frameworks to complete tasks:
ReAct (Reasoning and Action)
Involves continuous loops of thinking, acting, and observing.
Allows agents to refine responses iteratively.
ReWOO (Reasoning Without Observation)
Plans actions upfront instead of reacting step-by-step.
Reduces redundant tool usage and computational complexity.
Types of AI Agents
AI agents vary in complexity and functionality. Here are the five main types:
Simple Reflex Agents
Perform actions based on predefined conditions.
Example: A thermostat that turns on heating at a specific time.
Model-Based Reflex Agents
Maintain an internal model of the world to improve decision-making.
Example: A robot vacuum that adapts to obstacles.
Goal-Based Agents
Plan actions to achieve a defined goal.
Example: A GPS navigation system finding the fastest route.
Utility-Based Agents
Optimize decisions based on multiple factors.
Example: A route planner that minimizes travel time, tolls, and fuel consumption.
Learning Agents
Continuously improve performance through experience.
Example: E-commerce recommendation systems that personalize product suggestions.
Use Cases of AI Agents
AI agents are being widely adopted across industries:
Customer Support: AI chatbots enhance user experience by providing automated responses and personalized interactions.
Healthcare: AI agents assist in patient diagnostics, treatment planning, and administrative automation.
Emergency Response: AI-powered monitoring systems identify crisis situations and optimize response efforts.
Financial Services: AI agents analyze market trends and automate trading decisions.
Benefits of AI Agents
AI agents offer numerous advantages:
Automation: Reduces the need for human intervention in repetitive tasks.
Enhanced Performance: Multi-agent collaboration improves efficiency and accuracy.
Quality Responses: AI agents provide more personalized, insightful, and adaptive interactions.
Risks and Limitations
Despite their advantages, AI agents have limitations:
Multi-Agent Dependencies: Interconnected agents may experience system-wide failures if vulnerabilities exist.
Infinite Feedback Loops: Poorly designed agents may continuously call tools without reaching a conclusion.
Computational Costs: Building and maintaining AI agents require significant resources and processing power.
Best Practices for Implementing AI Agents
To maximize the effectiveness and safety of AI agents, organizations should follow these best practices:
Use Activity Logs: Maintain transparency by logging agent actions and tool usage.
Implement Interruption Mechanisms: Allow human intervention when necessary to prevent errors.
Assign Unique Identifiers: Track AI agent activity to prevent malicious misuse.
Ensure Human Supervision: Require human approval for high-risk actions, such as financial transactions.
The Future of AI Agents
AI agents are expected to revolutionize industries by improving automation, enhancing decision-making, and personalizing user interactions. As technology advances, AI agents will become more capable of handling complex tasks with minimal human oversight.
However, ethical considerations, security measures, and governance frameworks will be essential in shaping their role in society. Organizations must balance innovation with responsible AI development to ensure AI agents contribute positively to human progress.🔍 Get more insights into the evolving AI and tech landscape with MINTALPHAA. 🎙️ Stay updated on the latest crypto and tech trends through our Spotify podcast.
$BTC’s price gained around 1.7% in the previous week. The immediate support is expected at $73K and resistance is expected at $88K. Bitcoin has bounced from the support level around 75k and is expected to gain in the coming week 
