#Marketdata

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ريلز رائجة

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#Marketdata Reel by @anilsinghvimedia (verified account) - ✨ Let's Explore the Power of AI with @ZeeBusiness 💪🏻💡 ना ना... Artificial Intelligence नहीं...❌ उससे भी ज्यादा भरोसेमंद..."Anil Singhvi Insights"
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@anilsinghvimedia
✨ Let's Explore the Power of AI with @ZeeBusiness 💪🏻💡 ना ना... Artificial Intelligence नहीं...❌ उससे भी ज्यादा भरोसेमंद..."Anil Singhvi Insights"😎✌️ आपके Trading और Investment की Journey में आपके बेहद काम आएगा AI (Anil Singhvi) Market Data...👍📈📉 बताइए आप किस तरह का data जानना चाहते हैं हमारे AI से...⁉️👇 #AI #AnilSinghvi #ArtificialIntelligence #StockMarket #AnilSinghviMarketData
#Marketdata Reel by @ai.with.100 - Startup idea validation made simple. Before you build your SaaS, app, or D2C brand, validate your startup idea with real market data in 60 seconds.
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@ai.with.100
Startup idea validation made simple. Before you build your SaaS, app, or D2C brand, validate your startup idea with real market data in 60 seconds. Get a viability score, competitor analysis, market demand insights, search trends, revenue projections, and an AI investor pitch. Perfect for solo founders & early-stage entrepreneurs. Comment “IDEA” for the link.
#Marketdata Reel by @harshvira19 (verified account) - Want to find bullish stocks using F&O data? 📊 1. Go to National Stock Exchange of India (NSE) website 2. Open Market Data section 3. Search for Chan
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@harshvira19
Want to find bullish stocks using F&O data? 📊 1. Go to National Stock Exchange of India (NSE) website 2. Open Market Data section 3. Search for Change in Open Interest 4. Select Rise in OI + Rise in Price 5. You’ll get a list of stocks where big players are building long positions Smart money leaves clues… learn to spot them 👀 💾 Save this for later 🔁 Share with your trading partner #stockmarketindia #nse #tradingtips #marketanalysis #markettrends
#Marketdata Reel by @alphavardhan (verified account) - Sector-wise Market Data in NSE- Free Access You don't need paid tools to track sector movement. In National Stock Exchange of India you can check se
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@alphavardhan
Sector-wise Market Data in NSE– Free Access You don’t need paid tools to track sector movement. In National Stock Exchange of India you can check sector-wise market data for free and understand where smart money is flowing. 📈 #nseindia #viral #smartmoneyconcepts #stockmarketindia #tradingeducation
#Marketdata Reel by @aiadventureryt - Comment "AI" and I'll send you the link. For nearly 40 years, Bloomberg Terminal has been the backbone of Wall Street, costing banks and hedge funds
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@aiadventureryt
Comment “AI” and I’ll send you the link. For nearly 40 years, Bloomberg Terminal has been the backbone of Wall Street, costing banks and hedge funds around $30,000 per year for real-time market data, analytics, and trading tools. Now, someone recreated a functional market terminal using Perplexity Computer, pulling live stock data, financial summaries, company insights, and chart analysis at a fraction of the cost. The bigger shift isn’t just price. Perplexity Computer works like an AI agent, not a chatbot. You describe what you need, it breaks the task into steps, assigns multiple models to handle research and analysis, and delivers a structured result. It’s more like a digital analyst running in the cloud than a simple search tool. If you want to try it, comment “AI” and I’ll send you the link. #fintech #aiagents #perplexity #genai #aitools
#Marketdata Reel by @implementationai - Comment "API" and I'll DM you the link to a GitHub repository with over 400,000 stars that lists hundreds of free APIs, all neatly organized by catego
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@implementationai
Comment “API” and I’ll DM you the link to a GitHub repository with over 400,000 stars that lists hundreds of free APIs, all neatly organized by category. You’ll find APIs for finance, news, entertainment, weather, sports, health, AI, automation, and more. Building a finance app? Just plug in a free finance API and pull real-time market data instantly. Creating an AI tool? You’ll find NLP, image, and utility APIs ready to integrate. Working on automations? There’s an API for almost anything you can imagine. It’s the perfect resource for developers, AI builders, and anyone creating apps or workflows — and it’s completely free to use. Comment “API” and I’ll send you the link directly. #aitools #webdevelopers #automationtools #restapi #agenticai
#Marketdata Reel by @yadavaj (verified account) - OpenAI's new agent wrote my investor memo with one prompt. It pulled market data, listed competitors, and drafted every section while I watched. Cos
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@yadavaj
OpenAI’s new agent wrote my investor memo with one prompt. It pulled market data, listed competitors, and drafted every section while I watched. Cost: a few cents. Time saved: hours. Think humans still have the edge? Comment AGENT and I’ll send the prompt. #AIMemo #OpenAI #FutureOfWork #NoCode #startuplife #aiagent
#Marketdata Reel by @financebyvishnu (verified account) - NSE's website has a free tool that shows changes in price and open interest - useful for analysing market sentiment. 🔍 Here's what you can check: 👉
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@financebyvishnu
NSE’s website has a free tool that shows changes in price and open interest — useful for analysing market sentiment. 🔍 Here’s what you can check: 👉 Long Build-Up: when both price and open interest increase together. This often indicates higher trading participation from various market participants, including institutions. 💼🏦 How to explore this data: ✔️ Visit the official NSE website ✔️ Go to Market Data → Change in Open Interest ✔️ Apply the “Rise in OI + Rise in Price” filter This helps you understand market activity, see where participation is increasing, and study derivative trends. 📈 Remember — this is not a buy/sell recommendation, just a way to learn how market data works. If you want the official NSE data page, comment “NSE” and I’ll DM it to you. 🔗📩 #finance #money #business #telugufinance #vishnudeekonda
#Marketdata Reel by @davidepstein (verified account) - For years the advice was simple: learn to code. But a Financial Times analysis of decades of labor market data found that the biggest gains did not g
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@davidepstein
For years the advice was simple: learn to code. But a Financial Times analysis of decades of labor market data found that the biggest gains did not go to technical skills alone. They went to people who combined technical ability with communication, coordination, judgment, and collaboration. In fact, the returns to “softer” skills outpaced the returns to technical skills. Do not try to outrun AI at what it already does well. Build the combination: technical literacy plus human judgment, context, and the ability to work through messy problems with other people. That mix is what has paid off and is most likely to keep paying off. #davidepstein #mindset #success
#Marketdata Reel by @chriswinfield (verified account) - Meta's $2 Billion "bet" on the end of prompting... Meta just acquired Manus, the AI agent that went from zero to a $2 billion valuation in only 10 mo
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@chriswinfield
Meta’s $2 Billion “bet” on the end of prompting... Meta just acquired Manus, the AI agent that went from zero to a $2 billion valuation in only 10 months. While most “experts” are still teaching you how to write better prompts for ChatGPT, Meta is buying the technology that makes prompting obsolete. Manus represents the shift from “Chat” to “Agents.” It doesn’t just answer questions; it executes multi-step tasks across the internet. For example, I use it for Agentic Research—scanning Reddit, forums, and market data to find the exact “content gaps” that my competitors are missing. It took Manus just 10 months to hit a $100M run rate and a $2B+ exit! What are you going to make happen in the next 10 months? Follow -> @chriswinfield for Day 3. I’m showing you my exact agent workflow tomorrow. - - #AI #Meta #Manus #BusinessStrategy AgenticAI FutureOfWork
#Marketdata Reel by @karrrtiiikkk (verified account) - How I went from 12 LPA → ₹1.5 Cr PA 1. I optimized for learning before optimizing for salary. At the start of my career, I chose roles that exposed m
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@karrrtiiikkk
How I went from 12 LPA → ₹1.5 Cr PA 1. I optimized for learning before optimizing for salary. At the start of my career, I chose roles that exposed me to strong engineering practices, real ownership, and fast feedback loops. Higher pay comes naturally when your skill curve is steep. 2. I switched companies only when growth slowed, not when work got hard. Discomfort is good. Stagnation isn’t. Every switch I made was because I felt my learning had plateaued, not because I wanted a quick hike. 3. I intentionally worked with engineers who were better than me. Your peers influence your thinking, code quality, and ambition more than any course ever will. Strong teams force you to level up. 4. I prepared for interviews separately from my day job. Daily work doesn’t prepare you for interviews. DSA and system design need deliberate practice, even when your current role doesn’t demand it. 5. I acted like I was already at the next level. I took ownership early, thought in terms of impact, and solved problems end-to-end. Titles follow behavior, not the other way around. 6. I kept interviewing even when I was comfortable. Comfort is dangerous. Interviewing keeps you honest about your market value and exposes gaps you wouldn’t notice otherwise. 7. I learned to negotiate using data, not emotion. Companies expect negotiation. I anchored discussions with market data and competing offers, not desperation or ego. 8. I thought in multi-year career arcs, not annual increments. Big jumps don’t come from appraisals. They come from compounding skills, timing switches well, and playing the long game. Journey for context: Park+ → Uber → Zomato → Microsoft → Amazon UK (SDE 2 🇬🇧) If you’re early or mid-career, focus on building leverage, not chasing numbers. The compensation is just a by-product. 📌 Save this. Read it again in a year.
#Marketdata Reel by @stashaway_mena (verified account) - What does an quantitative analyst actually do? Meet Jim - one of the experts behind our portfolios. He works with the investment team to turn market
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@stashaway_mena
What does an quantitative analyst actually do? Meet Jim — one of the experts behind our portfolios. He works with the investment team to turn market data into strong strategy optimisation 💪📈 Disclaimer: Not financial advice nor solicitation to purchase any financial product. Past performance is not indicative of future performance. For full disclaimer: https://www.stashaway.ae/legal #FintechLife #TeamStashAway #DayInTheLife #AnalystLife #BehindTheApp #FinanceTok

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