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Dheeraj Othalasseril

Dheeraj Othalasseril

Financial Mathematics graduate student with hands-on experience in Python and Excel for developing and trading strategies and financial models.

5-Indicator Setup : The Perfect Entry??

3 min readOct 5, 2026

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An honest note: I haven’t tested this yet

Every trader has chased it: a combination of indicators so precise that when they all line up, the trade can’t fail.

In this article I build one of those setups for Nifty futures. But with two rules:

  1. Every indicator must answer a different question.
  2. I’ll be upfront: it’s untested and I’ll publish the results even if it fails.

Educational only, not investment advice.

Why most indicator stacks fail

A 20 EMA, a 200 EMA, RSI and Bollinger Bands look like four confirmations. They aren’t. All four are calculated from the same closing prices, so they tend to agree with each other. You get one signal counted four times: more confidence, no new information.

Stacking also causes two other problems:

  • Too few trades. Each extra condition filters out signals. Too many, and you’re left with a handful a year, too few to know if it works.
  • Curve-fitting. With enough indicators and settings, something will always look amazing on past data, purely by luck.

So the rule for this setup: one indicator per question.

The five questions

Which way is the trend? Supertrend (10, 3), Up or down, with a line you can reuse as a stop

Is the trend strong? ADX (14), Trend strength, regardless of direction

Is momentum speeding up? MACD histogram, Whether the move is accelerating or fading

Is real money behind it? Volume, The only input not calculated from price

When do I enter? 20-day high breakout, A precise, objective trigger

The rules

Instrument: Nifty 50 futures, daily candles.

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Buy at the next day’s open when all five are true at the close:

  1. Price is above the Supertrend line.
  2. ADX is above 25 and higher than 3 days ago.
  3. The MACD histogram is positive and growing.
  4. Volume is at least 1.5× its 20-day average.
  5. Price closes above the highest high of the last 20 days.

Futures tip: Around expiry, volume shifts from the old contract to the new one, creating fake spikes and drops. Add the near-month and next-month volumes together.

The exit plan (where results are really decided)

  • Stop loss: 2 × ATR below entry. It widens in volatile markets and tightens in calm ones.
  • Risk: 1% of capital per trade.
  • Take profit: Book half at 2R, twice what you risked.
  • Let the rest run: Trail with Supertrend and exit when price closes back through it.

Booking half locks in profit. The other half gives you a shot at the big move.

Quick example

  • Nifty futures at 25,000, all five conditions true. Buy at the next open.
  • ATR is 250, so the stop is 500 points away at 24,500.
  • 2R target: 26,000. Book half there, trail the rest.

The catch nobody mentions: with a lot size of 75 (check NSE’s current lot size), a 500-point stop risks ₹37,500 per lot. To keep that at 1% of your capital, you need about ₹37.5 lakh. With less, even one lot means risking far more than 1%. Do this math before you trade index futures.

Can it deliver max profit on a single trade?

Honestly, no setup can promise that. Any single trade can fail on a surprise headline. What a good setup can do is tilt the odds over many trades.

So the real question is: across dozens of signals, does requiring all five conditions beat a simpler version, after costs?

Why it might work, and why it might not

For it:

  • It only trades breakouts backed by trend, strength, momentum and volume at once.
  • Losses are capped, and winners get room to run.

Against it:

  • Rare signals. Five conditions at once might fire only a few times a year.
  • Late entries. By the time everything confirms, part of the move is gone.
  • Choppy markets. Breakout setups get hit by false breakouts when the market goes sideways.

Have you traded a setup like this? Tell me in the comments which condition mattered most, and which was dead weight.

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Dheeraj Othalasseril
Dheeraj Othalasseril

Written by Dheeraj Othalasseril

Financial Mathematics graduate student with hands-on experience in Python and Excel for developing and trading strategies and financial models.