<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>TradeTech Analytics</title><link>https://tradetechanalytics.com/</link><description>Indian market reviews, research and risk education</description><item><title>Weekly market review, 19 to 23 October 2026: Nifty slips 2.4% to 22,600, small-caps lose 7% and breadth collapses</title><link>https://tradetechanalytics.com/articles/weekly-market-review-2026-10-23.html</link><guid>https://tradetechanalytics.com/articles/weekly-market-review-2026-10-23.html</guid><pubDate>Tue, 27 Oct 2026 06:00:00 +0530</pubDate><description>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.</description></item><item><title>What the April 2026 STT rise did to option and futures trading costs</title><link>https://tradetechanalytics.com/articles/stt-rise-april-2026-option-costs.html</link><guid>https://tradetechanalytics.com/articles/stt-rise-april-2026-option-costs.html</guid><pubDate>Tue, 27 Oct 2026 06:00:00 +0530</pubDate><description>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.</description></item><item><title>Selling Nifty weekly option premium on EMA signals: five years, 3,300 trades, no edge</title><link>https://tradetechanalytics.com/articles/selling-nifty-weekly-premium-ema-signals.html</link><guid>https://tradetechanalytics.com/articles/selling-nifty-weekly-premium-ema-signals.html</guid><pubDate>Tue, 27 Oct 2026 06:00:00 +0530</pubDate><description>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.</description></item><item><title>Buying the RSI-50 turn in Nifty 500 stocks: a back-test with 27 variants</title><link>https://tradetechanalytics.com/articles/rsi-50-reversal-nifty-500-backtest.html</link><guid>https://tradetechanalytics.com/articles/rsi-50-reversal-nifty-500-backtest.html</guid><pubDate>Tue, 27 Oct 2026 06:00:00 +0530</pubDate><description>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.</description></item><item><title>How to test a trading idea without fooling yourself: pre-registration and sealed hold-outs</title><link>https://tradetechanalytics.com/articles/pre-registration-sealed-holdout.html</link><guid>https://tradetechanalytics.com/articles/pre-registration-sealed-holdout.html</guid><pubDate>Tue, 27 Oct 2026 06:00:00 +0530</pubDate><description>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.</description></item><item><title>Overnight Nifty strangles: how costs and slippage changed a 46% back-test</title><link>https://tradetechanalytics.com/articles/overnight-nifty-strangle-costs-and-slippage.html</link><guid>https://tradetechanalytics.com/articles/overnight-nifty-strangle-costs-and-slippage.html</guid><pubDate>Tue, 27 Oct 2026 06:00:00 +0530</pubDate><description>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.</description></item><item><title>Gamma exposure (GEX) explained, and what we could and could not test on Nifty options</title><link>https://tradetechanalytics.com/articles/gamma-exposure-gex-explained-nifty-test.html</link><guid>https://tradetechanalytics.com/articles/gamma-exposure-gex-explained-nifty-test.html</guid><pubDate>Tue, 27 Oct 2026 06:00:00 +0530</pubDate><description>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.</description></item><item><title>Why a 0.20-delta credit spread pays only about 14% of its width</title><link>https://tradetechanalytics.com/articles/credit-spread-credit-vs-width.html</link><guid>https://tradetechanalytics.com/articles/credit-spread-credit-vs-width.html</guid><pubDate>Tue, 27 Oct 2026 06:00:00 +0530</pubDate><description>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.</description></item><item><title>Break-even slippage: the one number to ask for before trading a high-turnover strategy</title><link>https://tradetechanalytics.com/articles/break-even-slippage-futures-long-short.html</link><guid>https://tradetechanalytics.com/articles/break-even-slippage-futures-long-short.html</guid><pubDate>Tue, 27 Oct 2026 06:00:00 +0530</pubDate><description>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.</description></item><item><title>Swing trading risk management: stops, gaps and overnight exposure</title><link>https://tradetechanalytics.com/articles/swing-trading-risk-management.html</link><guid>https://tradetechanalytics.com/articles/swing-trading-risk-management.html</guid><pubDate>Wed, 21 Oct 2026 06:00:00 +0530</pubDate><description>How swing traders in Indian markets can control losses over multi-day holds, including gap risk and position sizing.</description></item><item><title>Risk management for delivery (investing) trades in Indian equities</title><link>https://tradetechanalytics.com/articles/risk-management-delivery-trades.html</link><guid>https://tradetechanalytics.com/articles/risk-management-delivery-trades.html</guid><pubDate>Wed, 21 Oct 2026 06:00:00 +0530</pubDate><description>How to size positions, diversify, check liquidity and plan exits when you hold shares in your demat account.</description></item><item><title>Position sizing and drawdown: the maths behind staying in the game</title><link>https://tradetechanalytics.com/articles/position-sizing-and-drawdown.html</link><guid>https://tradetechanalytics.com/articles/position-sizing-and-drawdown.html</guid><pubDate>Wed, 21 Oct 2026 06:00:00 +0530</pubDate><description>How fixed-fraction risk, expectancy and drawdown recovery determine whether a trading plan survives.</description></item><item><title>Options risk management: buyers, sellers, Greeks and expiry</title><link>https://tradetechanalytics.com/articles/options-risk-management.html</link><guid>https://tradetechanalytics.com/articles/options-risk-management.html</guid><pubDate>Wed, 21 Oct 2026 06:00:00 +0530</pubDate><description>What can go wrong when trading index and stock options in India, and how to limit loss with defined-risk structures and sizing.</description></item><item><title>How the Indian market is structured: exchanges, regulators and settlement</title><link>https://tradetechanalytics.com/articles/indian-market-basics.html</link><guid>https://tradetechanalytics.com/articles/indian-market-basics.html</guid><pubDate>Wed, 21 Oct 2026 06:00:00 +0530</pubDate><description>A plain-English map of NSE, BSE, MCX, NCDEX, SEBI and RBI, how trades settle, and why structure matters for risk.</description></item><item><title>Futures risk management: leverage, margin and rollover (equity and commodity)</title><link>https://tradetechanalytics.com/articles/futures-risk-management.html</link><guid>https://tradetechanalytics.com/articles/futures-risk-management.html</guid><pubDate>Wed, 21 Oct 2026 06:00:00 +0530</pubDate><description>How leverage, daily mark-to-market, margin and expiry work in index, stock and commodity futures, and how to size positions.</description></item></channel></rss>