Long Options - Is 8-10% ROI per month possible?

Sundeep Dedhia

Is it possible to achieve 8 to 10% ROI per month by trading long options? If we take Nifty as an example, one will only need about '40 points per month' if allocated capital is 30,000 per lot (more than double the required margin) for an ATM option trading around 200. Sounds simple and easy but quite the opposite in reality.

Main challenges are:

not getting the direction right (low win rate)
theta decay (sideways markets)
not making money even though direction is right (falling IVs)

Here are some thoughts on improving the chances to hit the 8-10% target.

Method 1: Trade only when volatility expansion is likely.

Option buyers need:

Direction
Speed
Volatility

The best environments are:

Breakouts from consolidation (e.g. TTB, Turtle)
Range expansions (e.g. Catapult, Diagonal TTB)
Major support/resistance breaks (e.g. Anchor S/R)
Gap-and-go days (e.g. AFT, Super, T20)
Event-driven moves

The worst environments are:

Inside days (e.g. triangles)
Choppy ranges (e.g. short and alternating X/O columns, frequent bull & bear traps)
Low-volatility sideways markets (e.g. Bollinger Band, Donchian Channel)
Expiry afternoons

2-5 quality trades per month are enough to fill the coffers.

Method 2: Think in R-multiples rather than points.

Instead of "I need 30 points", think "I risk 10 points to make 30 points".
A 1:3 risk-reward structure means half the battle is won.

Three losses = -30
One winner = +30
You break even.
Two winners = +60
Net = +30

Building a system with favourable setups can be easier and faster using this approach.

Method 3: Focus on expectancy.

Let's assume:

10 trades/month
Win rate = 45%
Average win = 40 points
Average loss = 15 points

Wins:

4.5 × 40 = 180

Losses:

5.5 × 15 = 82.5

Net:

+97.5 points

This can outperform a 70% win-rate system with poor risk-reward.

Method 4: Use longer-dated options.

Current week expiry options can decay brutally. Also, gamma can take out stop loss levels frequently if the direction goes wrong.

Instead consider:

Next week expiry
Monthly expiry
At-the-money or slightly in-the-money

Advantages:

Lower theta decay
More forgiving
Less emotional pressure

Method 5: Trade the first hour or the last hour.

Often the cleanest moves occur in the first hour (9:15–10:15) or the last hour (2:30–3:30).

The middle of the day often generates:

False breakouts
Premium decay
Noise

Method 6: Track market regime.

Months of gains get destroyed by trading trend-following setups in non-trending conditions.

Trending market

Buy calls on pullbacks
Buy puts on breakdowns

Sideways market

Trade less
Reduce size
Sometimes don't trade at all (see method 7 below)

There are many popular ways to identify the market regime → combining Donchian Channel and Moving Averages, D-Smart / MAST clouds, multi-timeframe analysis etc.

Method 7: Have a "No Trade" strategy.

Often money is made by avoiding bad trades/environments.

Don't trade when:

Nifty is inside yesterday's range.
VIX is collapsing.
Market opens in the middle of a multi-day range.
Major support and resistance are too close.

Method 8: Scale out profits.

Let's say entry is at 200.
Book 50% at 220.
Book another portion at 240.
Let the remainder run with a trailing stop.
This allows occasional trend days to pay for several small losses.

To summarize, a good framework would be:

Buy only when a clear trend or breakout exists.
Risk no more than 1% of capital per trade.
Seek at least 1:2.5 risk-reward.
Book partial profits when market allows.
Skip low-volatility days.
Aim for 2–5 high-quality trades a month.
Accept that some months will be +20%, some 0%, and some -5%.

The Paradox

Those who stop trying to make 10% every month and avoid forcing trades during poor conditions, can often end up averaging close to 10% at the end of the year