Read the Chart. Understand the Story. Before exploring Master Chart Analysis, take a look at these two articles that explore the thinking behind reading charts in context. EVERY CHART HAS A STORY Every Chart Has A Story 📊 A chart is more than a collection of patterns. Learn why context matters when interpreting price behaviour. READ ARTICLE → CHART ANALYSIS Screening for Shorting Opportunities 📉 Explore how structure, liquidity, imbalance, trend and confirmation can come together in chart analysis. READ ARTICLE → MASTER CHART ANALYSIS × 2-Day Offline Educational Workshop WHY DOES TECHN...

MASTER CHART ANALYSIS Every Chart Has a Story. Markets are full of noise. Learn to read price, structure and context—not just recognise patterns. EXPLORE THE WORKSHOP → GO BEYOND PATTERNS Are You Reading the Chart? Or are you simply recognising patterns? Learn to analyse structure, liquidity, imbalance, momentum and confirmation. LEARN MORE → 2-DAY OFFLINE WORKSHOP Master the Art of Chart Analysis A sm...

Not every chart needs a trade. Sometimes the job is simply to identify where the risk/reward starts becoming interesting. While screening for potential shorting opportunities, I came across this setup. The idea was to combine market structure + liquidity + imbalance + trend rather than short simply because price was falling. 🔍 What caught my attention? 1️⃣ Bearish structure Price had already experienced a strong decline and was trading below a downward-sloping moving average. That suggested that the broader momentum was still favouring sellers. 2️⃣ Equal High = liquidity above The Equal High marked on the chart is an area I would watch closely. Rather than assuming resistance will hold, I look at clustered highs as a potential area of buy-side liquidity. A move toward or through that area can become important when assessing a potential reversal. 3️⃣ IFVG — potential resistance The purple Inverse Fair Value Gap (IFVG) becomes the key area I'm watching. If price retraces into this z...

See the Case Study One-person fashion business One Founder. One Store. AI-Powered Growth. × Illustrative Use Case How a One-Person Fashion Business Scaled with AI Growing the store without growing the founder's workload at the same rate. A small women's fashion business managed by one designer needed to increase its online selling capacity without spending more time on product uploads, customer questions, recommendations and abandoned-cart follow-ups. 1 Founder Design + business operations AI Co-Pilot Repetitive commerce tasks Shopify Existing commerce platform BEFORE Manual product listing Descriptions written one by one Customer questions interrupted work Recommendations handled manually Abandoned carts needed f...

📊 Case Study How a D2C Fashion Brand Used EIE to Enter a ₹2,400 Cr Category — and Win. A mid-stage D2C ethnic wear brand used Ecommerce Intelligence Engine to go from guessing to data-backed decisions — cutting research time by 80% and launching 3 profitable product lines in 90 days. 3× Faster Market Entry 80% Less Research Time ₹18L Revenue in 90 Days 92% Sell-Through Rate The Brand A Growing D2C Ethnic Wear Label Based in Jaipur The brand had built a loyal customer base in block-printed kurtas sold through their own website and Instagram. Revenue had plateaued at ₹35L/month. The founder wanted to expand into marketplace sales — but had no structured way to understand what the competitive landscape actually looked like. ...

👉🏻Contrarian Trading ≠ blindly going against the trend. 👉🏻Contrarian Trading = identifying a potential mismatch between what the market is currently pricing/doing and what the broader structure suggests. And the important part is 👇🏻 👉🏻You don't need maximum conviction to take a position.  👉🏻You need the right position size for the level of conviction you have.

At Berkshire’s 1996 annual meeting, Charlie Munger pointed out that he had never seen Warren Buffett actually do a DCF. Buffett’s response was revealing: If you have to do the calculation with pencil and paper to determine whether an investment works, it may be too close to think about. 👉🏻The lesson isn’t to ignore valuation. It’s to look for opportunities where the economics, price and margin of safety are compelling enough to be obvious. Use the DCF to test your thesis - not manufacture conviction. If the investment only works because of heroic assumptions, move on. Source 👇🏻 Buffett and Munger Unscripted 1996 Berkshire Hathaway Annual Meeting.

 Every Chart Has A Story 📊 This chart is a good example of how higher-timeframe structure and lower-timeframe momentum can diverge before a decision point. Price is holding intermediate support levels on the longer time frame (HT) & is still in an uptrend. The trend on the shorter time frame(LT) is indicating loss of upward momentum.  👉🏻I would not initiate an overnight position especially over the weekend. Possible Entry Zone👇🏻 If The Open is above intermediate support + price holds above the first 30-min low. Only If both the conditions hold 👉🏻the open confirms the higher time frame structure & the 30-min low confirms the short-term isn't breaking down. Position Sizing👇🏻 Simply put I would look to initiate either 1/3rd of 1/4th of my allocation and look to pyramid or close out my trade depending on how the market moves.  👉🏻 Note  Keep an eye on the advance/decline ratio for broader market health, and check the economic and earnings calendar ( pre...

  HFT is not simply about writing faster code.  It sits at the intersection of software engineering, computer architecture, quantitative thinking, and market microstructure. Key areas worth mastering 👇🏻 👉🏻 C++ & Memory — cache locality, data-oriented design, allocators, zero-copy techniques 👉🏻 Concurrency — atomics, memory ordering, SPSC ring buffers, lock-free design 👉🏻 Hardware — CPU cycles, cache lines, false sharing, NUMA affinity 👉🏻 Networking — kernel bypass, DPDK, NIC optimization, multicast market data 👉🏻 Market Microstructure — limit order books, queue position, price-time priority, adverse selection 👉🏻 Quant — probability, expected value, estimation and risk Coming from an trading background, I see the challenge from both sides:  understanding why markets move and understanding how technology determines how efficiently you can respond. The real edge comes from connecting the two. Think in nanoseconds. Trade in probabilities. Disclaimer ...