Understand the Indian market. Manage the risk first.
TradeTech Analytics publishes free, plain-language education on how Indian equity, derivatives and commodity markets work, and on how to control risk in delivery trades, swing trades, options and futures. We link directly to the official sources: NSE, BSE, MCX, NCDEX, SEBI and RBI.
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Latest articles
Four sessions, four declines: Nifty 50 closed the week at 22,600 (-2.36%), India VIX jumped 20% to 16.86, only one sector index finished higher, and 2,368 of about 2,700 stocks fell on Friday.What the April 2026 STT rise did to option and futures trading costsResearch · 2026-10-27
STT on options premium rose from 0.10% to 0.15% and on futures from 0.02% to 0.05% from 1 April 2026. Worked examples of per-trade, monthly and yearly cost, and what they do to thin-edge strategies.Selling Nifty weekly option premium on EMA signals: five years, 3,300 trades, no edgeResearch · 2026-10-27
A rule-based ATM short seller on Nifty weekly options, tested on 1,250 sessions from December 2020: a 24% win rate, losses in every full year and no better than selling at random times.Buying the RSI-50 turn in Nifty 500 stocks: a back-test with 27 variantsResearch · 2026-10-27
A long-only rule that buys when RSI(14) crosses back above 50 after 50 days below it, tested on the Nifty 500 universe with a 25% drawdown limit: 5.0% a year against 12.4% for the index, and no variant beat chance.How to test a trading idea without fooling yourself: pre-registration and sealed hold-outsResearch · 2026-10-27
The checklist we use before publishing any back-test: written rules, three data windows, cost stress, random-entry controls, reality checks, and honest amendments. With real examples where ideas failed.Overnight Nifty strangles: how costs and slippage changed a 46% back-testResearch · 2026-10-27
A published back-test of an overnight short strangle claimed 46% gross CAGR. Re-costing it with standard charges and realistic slippage on Nifty and Sensex data shows what survives, and why we are forward paper-trading before believing it.Gamma exposure (GEX) explained, and what we could and could not test on Nifty optionsResearch · 2026-10-27
What dealer gamma exposure is, why traders say it dampens or amplifies moves, why Indian data cannot show dealer positioning, and the result of a daily open-interest version tested over five years.Why a 0.20-delta credit spread pays only about 14% of its widthResearch · 2026-10-27
We measured 291 Nifty weekly credit-spread set-ups across five years: a 0.20-delta short leg collects a median 14% of the spread width, which needs an 86% win rate just to break even.Break-even slippage: the one number to ask for before trading a high-turnover strategyResearch · 2026-10-27
A machine-learning long/short stock-futures study passed its development gate but failed once whole lots and costs were counted: its break-even slippage was 0.18% to 0.28% per round trip. How to compute and use that number.
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Official sources
Use the exchanges and regulators for rules, circulars, contract specifications and investor protection. We keep a curated list on the official links page.
Market data for researchers
Our read-only market data portal publishes daily history for Nifty 500 stocks and indices, with a methodology page that states its limits, including survivorship bias.
Our approach
- No stock tips, calls or guaranteed returns.
- Risk before reward, with worked examples that use hypothetical numbers.
- Statements dated and sources linked, so you can check them.