QuantInsti @QuantInsti

Quant firms are hiring right now. The gap isn't opportunity. It's skill. Find out how to close it. Free Live Webinar | 18 June | 7 PM IST | 9:30 AM EDT quantinsti.com/epat#webinar India Joined October 2012

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QuantInsti @QuantInsti

6 days ago

Beta is often misunderstood. A stock moving fast does not automatically make it strong. Sometimes, it is simply moving more than the market. That is why quants do not just ask: “Is this stock moving fast?” They ask: “Is this real strength, or just higher market exposure?” Because velocity without context can be misleading. A stock may look aggressive, but that movement could simply be amplified sensitivity to the broader market rather than true independent strength. For quants, strength is not judged by speed alone. It is judged by behaviour relative to the market, risk exposure, and consistency. Fast is not always strong. If you want to understand how quantitative trading careers are built and where the market is hiring, join our upcoming EPAT webinar: From Where You Are to Where the Market Is Hiring quantinsti.com/epat#webinar Explore EPAT by QuantInsti: quantinsti.com/epat #QuantInsti #AlgorithmicTrading #QuantTrading #Beta #MarketRisk #TradingCareers #QuantFinance #SystematicTrading #EPAT #FinancialMarkets

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QuantInsti @QuantInsti

a week ago

Quant firms are hiring at prop desks, hedge funds, fintechs, and family offices. Most candidates are not missing an opportunity. They are missing preparation. Free Live Webinar | 18 June | 7 PM IST | 9:30 AM EDT Find out how to close the gap: quantinsti.com/epat#webinar

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Learner Vivek Bajaj @vivbajaj

a week ago

In India, everyone knows Virat's score. But do you know your stock's score? 🤔 Before investing: 🏢 Check the Fundamental Score 📈 Check the Momentum Score Because stocks deserve the same attention as cricket scores. Invest karne se pehle, Score Dekho.

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QuantInsti @QuantInsti

a week ago

@iamdavidokeke2 Hey! Feel free to reach out to us at [email protected]

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QuantInsti @QuantInsti

2 weeks ago

NAL Academy collaborates with QuantInsti to strengthen India’s Algorithmic and Quantitative Investing Ecosystem. Read More:

NAL Academy @nal_academy_ltd

2 weeks ago

@nal_academy_ltd (formerly known as NSE Academy Limited), a subsidiary of the National Stock Exchange of India Ltd., has collaborated with @QuantInsti , to offer joint certificate self-paced courses and bootcamps focused on workforce readiness and workforce development to equip

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QuantInsti @QuantInsti

2 weeks ago

131,000+ traders have downloaded our free e-books. Here is why. Three resources from QuantInsti that have become go-to references in the quant trading community: 🔹 Algorithmic Trading: A Rough & Ready Guide (62,000+ downloads) A practical starting point for anyone building their first trading system. 👉 quantinsti.com/algo-trading-e… 🔹 Python Basics: With Illustrations from the Financial Markets (50,000+ downloads) Python, explained specifically for trading applications. No prior experience needed. 👉 quantinsti.com/python-basics-… 🔹 Machine Learning in Trading: Step by Step Implementation (19,000+ downloads) From regression to ensemble models, how ML is applied in real trading strategies. 👉 quantinsti.com/machine-learni… All free. No catch. #AlgorithmicTrading #QuantFinance #Python #MachineLearningTrading #FreeEbook #QuantInsti

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QuantInsti @QuantInsti

2 weeks ago

In trading, diversification is not just about having different positions. It is about understanding how those positions behave together. Correlation matters more than most traders think. Two trades can look completely different on the surface and still hurt the portfolio in the same moment. That is why quants do not only study trades individually. They study how positions behave together. Because a portfolio is not just a list of ideas. It is a system of relationships. And when those relationships tighten during stress, risk rises faster than expected. In portfolios, interaction matters as much as selection. Explore these ideas in depth with EPAT by QuantInsti: quantinsti.com/epat/ #QuantTrading #RiskManagement #AlgorithmicTrading #EPAT

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Ankit Rai @AnkitRai259

a month ago

@vivbajaj @QuantInsti @NSEIndia Congratulations to the QuantInsti team So proud of what they are doing for algo education in India We hired a few of their students and they have been doing great in our company Wishing the team more success ahead for shaping the future of Indian traders

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Learner Vivek Bajaj @vivbajaj

a month ago

Well done @QuantInsti You guys are OG of Algo Training Glad to see @NSEIndia collaborations

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Kaustubh Yeole @KaustubhYeole

a month ago

@vivbajaj @QuantInsti @NSEIndia Good to see practical market education getting stronger in India. Partnerships like this can genuinely help students understand the real industry better.

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QuantInsti @QuantInsti

a month ago

@nal_academy_ltd collaborates with QuantInsti to strengthen India’s Algorithmic and Quantitative Investing Ecosystem through high-impact, industry-aligned bootcamps and top-notch training in quantitative finance and algorithmic investing. Read Here: nsearchives.nseindia.com//web/pressrele… #NALAcademy #QuantInsti #AlgorithmicTrading #QuantFinance #FinTech

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QuantInsti @QuantInsti

a month ago

7/7 Want to understand how the new intraday margin system works - and how to build trading strategies that operate within it? Read more here: quantinsti.com/articles/finra… Official source: finra.org/rules-guidance… RT to share this with US traders who need to know.

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QuantInsti @QuantInsti

a month ago

6/7 This is huge for retail traders in the US. The $25K barrier was one of the most complained-about rules in retail trading for 25 years. It disproportionately affected newer and smaller traders who simply couldn't meet the threshold. Read more here: quantinsti.com/articles/finra…

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QuantInsti @QuantInsti

a month ago

Thread: The $25,000 day trading rule is dead. Here's what every US retail trader needs to know. 🧵 1/7 Starting June 4, 2026, FINRA's Pattern Day Trader (PDT) rule is eliminated. The $25,000 minimum equity wall that blocked millions of retail traders from day trading? Gone. Here's what changed - and what it means for you.

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Quantocracy @Quantocracy

a month ago

AI Forex Backtesting with LLM Regime Labels: DeepSeek vs KMeans in Python [@QuantInsti] dlvr.it/TST8mv

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QuantInsti @QuantInsti

a month ago

Most traders think risk management begins after entry. Quants know it begins before the trade is even placed. Before entering a trade, they define: 📌 Position size 📌 Maximum acceptable loss 📌 Market condition that can break the setup 📌 What happens if the idea is right, but the timing is wrong Because a strategy is not just about finding entries. It is also about surviving uncertainty. And in trading, survival is not separate from performance. It is part of performance. Less reaction More preparation Better decisions That is the kind of thinking we try to build through EPAT at QuantInsti - where trading is approached not just as execution, but as a complete quantitative decision-making process. Explore EPAT: quantinsti.com/epat #AlgorithmicTrading #RiskManagement #QuantTrading #TradingStrategy #EPAT #QuantInsti