This page is an index, not an essay. There are a dozen strategy families that get called "algo trading strategies" in India, and almost every page that tries to explain all of them at once ends up saying very little about any one. So this one does two things instead: it tells you which families are actually relevant if you trade NIFTY or SENSEX index options, and it sends you to the specific write-up for each mechanic we use.
If you are new to the subject, read the complete guide to algo trading in India first — how execution, broker APIs and automation work in practice. That page covers the fundamentals, so this one does not repeat them. NSE reports that a little over half of Indian equity market turnover is already executed algorithmically, which is context, not an argument: the share of automated flow tells you nothing about whether your particular rules make money.
The strategy families, and which ones matter to an option seller
Here is the honest map. Four of these are real strategies that real desks run. Two of them are execution techniques that get mislabelled as strategies. And only one of them is what EliteAlgo actually sells.
| Family | What it does | Relevant to a NIFTY/SENSEX option seller? |
|---|---|---|
| Option selling (short straddle, short strangle, iron condor) | Sells premium and collects time decay, with pre-defined stop-losses and adjustment rules | Yes — this is the whole page below. It is also the only family EliteAlgo runs for clients. |
| Trend following / momentum breakout | Enters in the direction of a confirmed break of a level, on volume | Indirectly. Useful as a regime filter — a strong trend day is exactly when a short strangle hurts. See the NIFTY and SENSEX algo trading guide. |
| Mean reversion | Takes counter-trend positions when price overextends from a reference level | Indirectly, same reason. An index that reverts intraday is a good environment for a seller; one that trends is not. |
| Statistical arbitrage / pairs | Trades the spread between two correlated instruments back to its mean | No. Different instrument, different infrastructure, different capital profile. |
| Arbitrage (cross-venue) | Buys on one venue and sells on another to capture a price gap | No. This is a latency and co-location game. Leg-fill delay and slippage close the gap before a retail stack can act. |
| VWAP / TWAP execution | Breaks a large order into slices to reduce market impact | Not a strategy — it is how you fill a decision you have already made. Worth knowing; will not generate a trade. |
That table is the reason this page got shortened rather than extended. Writing three thousand words on cross-venue arbitrage would not help anyone who came here to sell NIFTY options, and it would not be honest about what we actually do all day.
The desk notes — one page per mechanic
Each of these is a single, specific question we had to answer on our own desk before we trusted a rule in a live algo. They are written as findings, not introductions: where the common version of the idea is wrong, what we measured instead, and what rule we kept.
Option chain analysis — the six columns that matter
Most of the NIFTY option chain is noise to a seller. This one covers the six columns we actually read, the order we read them in, and the bid-ask spread math that changes which strike we end up selling.
Read first if you are picking strikes by hand.
The ATM straddle chart as a decay clock
The combined ATM call-plus-put premium is the cleanest single read on whether decay is being paid out or clawed back. Four recurring shapes, what each one means, and how the shape changes on expiry day.
Read second — it frames everything below.
The expiry-day premium clock, hour by hour
Expiry day is not one straight decay line. Premium re-prices in the opening half hour, drifts mid-session, accelerates after lunch, then turns into a gamma problem. The hour-by-hour map, with a paper-trade session template.
Read before you set any expiry-day entry time.
Greeks on expiry day — theta stops, gamma starts
Theta looks like the whole trade until the gamma crossover arrives, usually around 13:30 IST. Our own delta walk through an expiry session, a stop-loss comparison, and the three rules that fall out of it.
Read with the premium clock — they are the same story from two angles.
PCR — why the 0.7 and 1.3 rulebook breaks
The 0.7-oversold / 1.3-overbought bands were never calibrated on NIFTY. Where the ratio's arithmetic falls apart specifically on expiry day, and the narrow job it still does on our desk as a gate rather than a signal.
Read if you are using PCR as an entry trigger.
Open interest without the folklore
The four-box "long buildup / short covering" table everyone copies cannot tell you who initiated a trade — the data simply does not carry that. What OI does measure, and the liquidity and crowding reads that survive scrutiny.
Read alongside the option chain note.
Max pain — testing the pin everyone quotes
Every dashboard prints a max-pain strike with an arrow implying price is headed there. We hand-calculated it, tracked it intraday, and measured 40 expiries to see how often the close actually lands near it.
Read before you trust any pin-risk claim.
If you want a reading order rather than a grid: start with the option chain columns, then the straddle chart, then the premium clock and expiry-day Greeks together. The last three — PCR, open interest and max pain — are all about the same mistake: treating a derived number as a direction signal when it is at best a gate.
What EliteAlgo actually runs
One family, two indices. Rule-based and quant-based option-selling strategies on NIFTY 50 and SENSEX, with a primary focus on expiry-day sessions. No discretionary overrides, no black-box signal we cannot explain, and a hard stop-loss on every leg before the position goes on.
Why option selling specifically: index options tend to price in more movement than the index subsequently delivers, and the gap between implied and realised volatility is what a seller is paid for. That edge is real but thin, it is not present every day, and it disappears entirely without position sizing and stop discipline — which is why most of our research time goes into the exit rules rather than the entries.
Starting points if that is the part you came for: the NIFTY option selling guide for beginners, the SENSEX weekly expiry approach, and what we run for clients. Paper trade any of it first. Every rule on this site was paper-traded before it was funded, including the ones that looked obvious.
Choosing between them
Three questions decide it, in this order.
- What does a bad day look like to you? Trend and momentum strategies lose in a lot of small, frequent, visible ways. Option selling loses rarely and then badly — the distribution is lumpy, and the lumps arrive on gap days. Pick the shape of loss you can actually sit through, because you will sit through it.
- How much capital, and is it margin-capable? Option selling is a margin business, and the NIFTY/SENSEX strategies we run for clients need serious capital behind them. Below that, paper trading and a single-lot learning account are the sensible path, not a scaled-down version of an institutional strategy.
- How much attention can you give it? "Automated" does not mean unattended. Budget 30-60 minutes a day for monitoring and exception handling, plus a few hours a week for review. If that is not available, a managed arrangement is the honest answer rather than a half-watched algo.
Before any of it goes live
Backtesting is where most strategies die, and it should be. The rules that matter:
- At least three years of data — a strategy needs to survive more than one volatility regime
- Realistic costs — brokerage, STT, exchange fees and slippage, applied per leg, not as a single round-trip guess
- Out-of-sample testing — test on data the parameters were never fitted to; never optimise in-sample and deploy the same week
- Walk-forward analysis — roll the optimisation window forward and test on the next window. Slower, far harder to fool yourself with
- Parameter count discipline — past five or six tuned parameters, you are describing history, not finding an edge
Platform choice for this is covered separately in our algo trading software comparison, and the backtesting-specific tools in options backtesting software for India.
Risk rules we treat as non-negotiable
These have not changed since 2006, through several market cycles, and they are deliberately boring:
- Position sizing: no single trade risks more than 1-2% of total capital
- Strategy-level drawdown limit: a strategy more than 10-15% below its own high gets paused and reviewed, not "given a chance to recover"
- Circuit-breaker halt: all strategies stop if the index moves more than 3-4% inside 30 minutes
- Diversification: 3-5 genuinely uncorrelated strategies, where uncorrelated is tested rather than assumed
- Daily loss limit: hard stop on the whole book at 3% portfolio loss for the day
Two more things worth reading before you commit capital: the disadvantages of algo trading, which is the page we point sceptical clients at first, and the current SEBI algo trading regulations, now fully in force since 1 April 2026 and directly relevant to how a retail algo has to be registered and routed.
EliteAlgo provides analytical software and rule-based execution, not investment advice. All trading carries risk and past performance does not indicate future results.
