🧭 Position trading and trend following

🎯 In 30 seconds: A position trader holds for weeks to months and follows simple rules: be in when price is above a long moving average or breaks to a new high, step aside when it falls back. Most trades are small losses and a few are big winners, so a 35% win rate can still make money. Long-run research across many markets supports trend following, but most of it is not about Indian stocks, it assumes a diversified basket, and it includes years of painful flat or falling stretches. In India, index ETFs are a cheaper vehicle than individual shares for a trend rule, because STT on selling ETF units is a tiny fraction of the STT on shares.

Sailing with the monsoon

Old trading ships on the Indian Ocean timed their voyages to the monsoon winds. Sailors did not predict the weather. They watched which way the wind was already blowing, set sail when it was steady, and stayed in port when it turned. Some voyages started on a false wind and had to turn back. The good seasons paid for those.

Trend following is that idea applied to prices. You do not forecast. You react to a move that is already happening, stay with it while it lasts, and accept that some of your starts will be false.

What position trading means

Position trading is the slowest trading style: holds of a few weeks to many months, with decisions made on daily or weekly charts. It sits between swing trading and long-term investing. The difference from investing is the exit rule. An investor holds while the business case holds. A trend follower sells when the price trend breaks, whatever the story.

Trend rules can be applied to:

• An index, through an index ETF or index fund (for example one that tracks the Nifty 50 or a sector index). This is the simplest and cheapest place to start.
• Individual shares, which trend more strongly at times but also gap on news, hit price bands and carry company-specific risk.
• Index futures, which allow the short side but come in large lots with daily margin calls. Not for beginners; see Futures basics.

Two classic systems

1. The moving average filter. Hold when the closing price is above its 200-day moving average. Sell when it closes below. Some traders use a 50-day average crossing the 200-day average instead, which trades less often and reacts later. See Moving averages.

2. The breakout channel. Buy when price makes a new 52-week high (or a 20-week high on a weekly chart). Sell when it makes a new 10-week or 20-week low. This is the family of rules made famous by commodity traders decades ago. See Gaps and breakouts.

Both rules are deliberately dumb. They never buy at the bottom or sell at the top. They give back part of every move before they exit. What they do is keep you in during big trends and get you out of long falls before they become disasters.

Low win rate, big winners: the math

Trend systems usually lose on most trades. They make money because the average winner is several times the average loser. Hypothetical example: 20 trades of ₹1,00,000 each on an index ETF.

Expectancy per trade = (0.35 x 18%) minus (0.65 x 4%) = 6.3% minus 2.6% = +3.7%. The method is in Risk/reward and expectancy.

The hard part is not the arithmetic. It is taking all 13 losing trades, in a row if they come that way, because you cannot know in advance which signals will become the 7 winners. A trader who skips signals after a few losses usually skips the big one. See Drawdowns and losing streaks.

Why the vehicle matters in India

A trend rule trades less than a swing trader but still exits and re-enters several times a year in choppy markets. Costs and taxes per switch matter, and Indian STT treats shares and equity ETF units very differently. Rates as of October 2026, from NSE's table of levies:

Stamp duty on a delivery purchase (0.015%), exchange charges, GST, brokerage and the DP charge apply either way. On 20 switches of ₹1,00,000, the STT difference alone is about ₹4,000. Check the ETF's liquidity and its gap from its iNAV before you trade it; see Mutual funds, index funds and ETFs.

Tax matters too. Every exit is a sale, and gains on units or shares held for 12 months or less are short-term capital gains, taxed at a higher rate than long-term gains. A rule that exits and re-enters often pushes more of your gains into the short-term bucket. See Taxes for traders and investors in India.

What the evidence says

Trend following has some of the strongest long-run evidence of any trading style, with caveats that matter for an Indian beginner.

• Many markets, one pattern. Moskowitz, Ooi and Pedersen (Journal of Financial Economics, 2012) studied 58 futures and forward markets across stock indices, currencies, commodities and bonds. A market's past 12-month return tended to predict its next month's return. The effect lasted about a year and then partly reversed.
• A long history. Hurst, Ooi and Pedersen simulated trend following back to 1880 across many markets and found it profitable over the long run, not only in recent decades.
• India. Researchers at IIM Ahmedabad found a strong cross-sectional momentum effect in Indian shares (past winners beating past losers) from 1994 to 2014, covered in Momentum trading. That is a related idea, not the same as timing the Nifty with a moving average. This course did not find a peer-reviewed long-run study of simple moving-average timing on Indian indices after costs and tax, so treat any Nifty backtest you see online as a claim to check, not a fact.

The caveats:

• The strong results come from a diversified basket of dozens of markets. A rule on one index or one stock is far noisier.
• They are simulations with assumed costs. Real results include slippage, charges and tax.
• Good average results hide long flat or losing stretches in between.

The hard parts nobody advertises

• Whipsaws. In a sideways market, price crosses the average again and again. Each crossing costs a small loss plus charges. Some traders add a buffer, for example only acting when price closes 2% beyond the average, which cuts false signals but makes every signal later.
• Giving back profit. A 200-day rule typically exits well below the top. Watching a 30% gain shrink to 18% before the sell signal comes is part of the deal.
• Fast crashes. Slow rules work best on slow declines. In a crash as fast as March 2020, when Indian indices fell so sharply that the market-wide circuit breaker halted trading more than once, a long average sends its exit signal late and its re-entry signal late too.
• Boredom and doubt. Months of doing nothing, then a string of losses, make people abandon the rule just before it works. A written plan is the only defence; see Writing a trading plan.

Down trends, cash and the short side

When a long-only trend rule says "out", the simplest move is to hold cash, a liquid fund or a short-term debt instrument until the next buy signal. That alone avoids most of a long bear market, which is where trend following earns its keep for a beginner.

Shorting in a downtrend is harder in India than it sounds. You cannot carry a short in shares overnight in the cash market, so the short side needs index or stock futures (large lot sizes, daily mark-to-market, margin calls) or put options (time decay). Both are covered later in the course: Short selling in India and Put options. Learn the long side first.

Building a simple trend plan

1. Choose the market. One broad index ETF to begin, for example one that tracks the Nifty 50.
2. Choose the rule and write it down. "Buy at the next open after a weekly close above the 40-week average. Sell at the next open after a weekly close below it." Weekly checks cut noise and screen time.
3. Size it. Decide in advance what share of your money the rule controls. Keep your long-term core investing separate; see An index core and a small trading satellite.
4. Count the cost. Estimate charges per switch from your broker's contract note and multiply by the number of switches your test produced.
5. Follow it for at least a year before judging it. Trend rules are measured in years, not weeks.

Try it

Go to the historical data section of niftyindices.com and download daily closing values of the Nifty 50 for the last ten years into a spreadsheet. Add a column with the 200-day average of the close. Add a column that says IN when the close is above the average and OUT when it is below. Count how many times the signal changed, and mark the three longest IN periods and the three worst false signals. Then estimate costs: if each switch cost 0.1% of the money in the trade on an ETF, or 0.35% on shares, how much would that have taken over ten years? Do not trade on the result. The point is to see how a trend rule behaves, not to find a magic setting.

Sources

• Moskowitz, Ooi and Pedersen: Time series momentum, Journal of Financial Economics (AQR page)
• Hurst, Ooi and Pedersen: A century of evidence on trend-following investing (AQR page)
• IIM Ahmedabad: Agarwalla, Jacob and Varma, Four factor model in Indian equities market (working paper, PDF)
• NSE: SEBI turnover fees, STT, stamp duty and other levies
• NSE: Circuit breakers
• Business Standard: Nifty hits lower circuit amid global sell-off; trading halted for 45 mins (13 March 2020)
• Business Standard: Sensex hits 10% lower circuit, trading halted for 45 minutes (23 March 2020)
• NSE Indices: Historical index data