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Options trading offers a rich landscape of strategies, but sustainable profitability demands more than intuition—it requires a structured, data-driven approach. This guide examines two high-probability options strategies in detail: a Modified Time-Based Intraday Short Straddle (TBS) and a Stop-and-Reverse (SAR) trend-following strategy using the D-SMART indicator on Point & Figure (PNF) charts.
For each strategy, we present the underlying logic, the analytical refinements that improve performance, backtested results, and step-by-step execution instructions via Algostra.
A short straddle involves simultaneously selling an at-the-money (ATM) call option and an ATM put option on the same underlying and expiry. The position is market-neutral at inception: it profits when the underlying remains range-bound and time decay (theta) erodes option premiums. The maximum profit equals the total premium collected, realised if the underlying closes exactly at the strike price at expiry.
| Key Insight The short straddle is fundamentally a bet on low realised volatility. If the market stays calm, the seller collects premium; if the market moves sharply, losses can be substantial. |
The standard time-based intraday short straddle gained popularity with the introduction of weekly options on NIFTY, which brought high liquidity and rich premiums to short-dated contracts. The typical approach involves selling a straddle shortly after market open (around 9:20 AM) and squaring off before the close (around 3:20 PM), aiming to capture theta decay over the course of the trading day.
This approach performed well in the period following the COVID crisis, when NIFTY weekly premiums were elevated and markets exhibited a bullish, low-volatility bias. However, in recent years, the standard TBS has underperformed due to two compounding factors:
To address these shortcomings, we introduce three targeted modifications to the standard TBS. Each refinement is grounded in observable market behaviour and validated through extensive backtesting.
The opening session (9:15–10:30 AM) is characterised by high volatility, wide bid-ask spreads, and rapid price discovery as overnight information is absorbed. Theta decay during this period is minimal because option premiums are dominated by the elevated implied volatility of the opening auction. By delaying entry to 10:30 AM, the strategy avoids the noisiest part of the trading day and enters when intraday volatility typically subsides and theta decay accelerates.
Empirical evidence shows that short straddles have a higher probability of success when premiums are rich—typically in elevated implied volatility (IV) environments. However, very high IV also signals the potential for large, directional moves that can overwhelm premium income. India VIX serves as a real-time proxy for the implied volatility of NIFTY options. By restricting entries to days when India VIX is below 15, the strategy filters out extreme volatility regimes and trades only in a favourable risk-reward environment.
| Key Insight India VIX below 15 represents a “goldilocks zone”: premiums are still meaningful, but the probability of a large adverse move is reduced. Above 15, the risk of stop-loss triggers rises disproportionately. |
To manage tail risk, a 30% stop-loss is applied at the individual leg level. If one leg is stopped out, it signals a decisive directional move—and, importantly, the untested leg will often expire near-worthless, contributing a near-full profit that partially offsets the stopped-out leg. This leg-wise approach improves the overall win rate relative to a portfolio-level stop-loss.
Squaring off at 3:00 PM rather than 3:20 PM avoids the risk of late-session volatility spikes that can erode profits accumulated during the day.
The modified TBS was backtested over one year on OPTEST, the options backtesting platform by Definedge Securities (optest.definedgesecurities.com). The key performance metrics are summarised below in the figure. The modified TBS has positive expectancy with a win-rate of ~70% and a very low maximum draw-down.
Note: Backtested results are based on historical data and do not guarantee future performance. Always validate with forward testing before deploying capital.
The modified TBS can be deployed on Algostra using the Options Strategies – Payoff & Option Chain module (4th option). Configure the following parameters:
| Parameter | Setting |
| Scrip | NIFTY-I |
| Strategy Type | Intraday |
| Expiry Type | First Weekly |
| Entry Time | 10:30 AM |
| Square-Off Time | 3:00 PM |
| Exit Type | Leg-wise |
| Legs | Short ATM Call + Short ATM Put |
| Parameter | Setting |
| Exit Mode | Scrip |
| Stop-Loss | 30% |
| Target | Nil |
| Trailing Stop-Loss | Nil |
| Filter | Condition |
| India VIX | Below 15 |
You can further enhance the strategy by adding filters: additional rules, indicators, or pattern-based conditions.
One effective approach is to incorporate a higher timeframe trend filter, such as the daily trend of the stock.
You can also apply intraday-specific filters to improve trade quality.
With the right filters, you can further refine and personalise it to suit your trading style.
You can modify it, test it, and deploy it on the Algostra.