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ExploreMomentum trading means buying what is already going up and selling what is already going down, on the view that strong moves tend to continue for a while. It is one of the most studied effects in financial research, but it works on average over many trades, while individual trades and whole periods can fail sharply. This guide explains the types of momentum, how to confirm it, how to exit, and how to size it inside a prop evaluation.
Quick answer: Momentum trading is a strategy that buys assets showing strong recent gains and sells or avoids those showing weakness, expecting the trend to persist. Traders measure momentum with past returns, relative strength rankings, MACD or RSI, enter on strength, and exit with a trailing stop when the move fades.
Highlights of this article
- Momentum is the tendency of recent winners to keep outperforming for a while, documented in stocks and across asset classes
- Time-series momentum compares an asset with its own past; relative strength compares it with other assets
- MACD and RSI can confirm momentum, but the exit rule usually matters more than the entry
- Momentum can crash, often in sharp market rebounds after a decline
- A worked example sizes a momentum trade on a 100K account with a static drawdown and a daily limit set from the higher of balance or equity
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Get funded from $40Momentum trading: key facts
| Item | Detail |
|---|---|
| Core idea | Assets with strong recent performance tend to keep performing well for a period |
| Two main types | Time-series momentum (an asset versus its own past) and relative strength or cross-sectional momentum (an asset versus its peers) |
| Common lookbacks | From days for short-term traders to 3 to 12 months in academic research |
| Confirmation tools | MACD, RSI above 50, price above a rising moving average |
| Typical exits | Trailing stop, close below a moving average, time-based exit |
| Main risk | Sharp reversals ("momentum crashes") and late entries after a move is exhausted |
| Related strategies | Trend following, breakout trading, mean reversion |
What is momentum trading?
Momentum trading is the practice of trading in the direction of strong recent price movement. A momentum trader does not try to buy low and sell high. They try to buy high and sell higher, getting on board once a move has proven itself and stepping off once it fades.
It is closely related to trend following, and the two terms are often used interchangeably. A useful distinction: trend followers usually hold for as long as the trend lasts, often weeks or months, while momentum traders focus on the speed of the move and may hold for days or hours. Both sit on the opposite side of the trading strategies map from mean reversion, which bets that large moves partly reverse.
What does the research say about momentum?
Momentum is one of the best-documented patterns in finance.
- Jegadeesh and Titman (1993) studied US stocks and found that strategies buying past winners and selling past losers, ranked on returns over the previous 3 to 12 months, generated significant positive returns over holding periods of 3 to 12 months. This is relative strength, or cross-sectional momentum.
- Moskowitz, Ooi and Pedersen (2012) found what they called time-series momentum across 58 futures and forward contracts covering equity indices, currencies, commodities and government bonds. An instrument's own past 12-month return was a positive predictor of its future return. The effect persisted for about a year and then partly reversed over longer horizons.
- Daniel and Moskowitz documented "momentum crashes": infrequent but severe strings of losses. They found crashes tend to occur in panic states, after market declines and when volatility is high, and coincide with sharp market rebounds.
These studies describe portfolios of many assets over decades. They do not mean any single momentum trade will work, and past results do not guarantee future returns. What they do suggest is that following strength is a reasonable basis for a rules-based strategy, provided risk is managed for the periods when it fails.

What are the main types of momentum?
Time-series momentum
Time-series momentum asks one question about one asset: has it gone up or down over the lookback period? If the return is positive, you lean long; if negative, you lean short or stay out. A simple version: hold gold long while its 12-month return is positive and its price is above the 200-day moving average, and step aside when either condition fails.
Short-term traders use the same logic on faster windows, such as the 20-day return or a 20-day high.
Relative strength (cross-sectional momentum)
Relative strength compares assets with each other. You rank a list of instruments by their return over a lookback period, then trade the strongest and avoid or short the weakest. On a multi-asset account, that list could include single stocks such as NVDA, TSLA and AAPL, the index ETFs SPY, QQQ and IWM, commodities such as gold and oil, and major crypto pairs.
Relative strength in this sense is not the same as the Relative Strength Index (RSI). RSI measures one asset's recent gains against its own losses; relative strength compares performance across assets.
Intraday momentum
Day traders apply momentum to the session: stocks or ETFs that gap up on news, break the morning high and hold above VWAP. The opening range breakout is a structured intraday momentum setup.
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How do you confirm momentum with MACD and RSI?
Indicators do not create momentum, but they can confirm that a move has strength behind it.
- MACD (12, 26, 9). The MACD line is the difference between the 12 and 26-period exponential moving averages. Momentum is supportive when MACD is above zero and above its signal line. A shrinking histogram warns that momentum is slowing.
- RSI (14). In an uptrend, RSI tends to hold above 40 to 50 on pullbacks and push above 60 to 70 on rallies. For a momentum trader, RSI above 70 is often confirmation of strength rather than a sell signal. A bearish divergence, where price makes a higher high and RSI makes a lower high, warns that momentum is fading.
- Moving averages. Price above a rising 20 or 50-period moving average is the simplest trend filter.
The chart below shows a breakout to new highs, a trend that holds above a rising 20 EMA with RSI above 50, then fading RSI and a close below the EMA as the exit.
What does a momentum trading strategy look like?
A simple daily-chart momentum strategy you can backtest:
- Universe. Pick a fixed list of liquid instruments, for example 20 to 30 symbols across stocks, ETFs, commodities and crypto.
- Filter. Only consider instruments whose 3-month return is positive and whose price is above a rising 50-day moving average.
- Rank. Rank the survivors by 3-month return and focus on the top few.
- Entry. Buy when price closes at a new 20-day high with MACD above its signal line.
- Initial stop. Place the stop-loss 2 ATR below entry.
- Exit. Trail the stop at 3 ATR below the highest close, or exit on a daily close below the 20-day EMA, whichever comes first.
- Review. Re-rank weekly. Do not add new positions in instruments that have dropped out of the top group.
How should you exit a momentum trade?
Momentum entries are easy to find; good exits are what separate a strategy from a series of round trips. Common exit rules:
- ATR trailing stop. Trail the stop a fixed number of ATRs below the highest price since entry. It gives the trade room in volatile markets and tightens automatically as the trend extends.
- Moving average close. Exit on a close below the 20 or 50-period moving average.
- Partial profit. Take part of the position off at a fixed multiple of risk, such as 2R, and trail the rest. This improves consistency at the cost of some large winners. See the risk-reward ratio guide for how this changes your break-even win rate.
- Time exit. If the trade has not moved meaningfully within a set number of bars, exit. Momentum that stalls is not momentum.
- Divergence warning. A bearish RSI or MACD divergence is a reason to tighten the stop, not usually a reason to exit on its own.
Never widen a stop to avoid being taken out. The research on momentum crashes shows that reversals can be fast and large.

Worked example: sizing a momentum trade on a 100K account
Here is an illustrative example on a 100K CLASSIC 1-Step account. Product rules come from the Velotrade challenge page and FAQ; the prices are illustrative.
Account rules
- Account size: 100,000 USD
- Daily loss limit: 4%, reset at 00:30 UTC from the higher of balance or equity
- Maximum drawdown: 7% static, a fixed floor at 93,000 USD for the life of the account
Trade plan
- Instrument: BTC, which Velotrade lists with up to 10x leverage on challenges
- Signal: daily close at a new 20-day high at 100,000 USD, MACD above its signal line, RSI (14) at 64
- Daily ATR (14): 3,000 USD
- Initial stop: 2 ATR below entry, at 94,000 USD, so 6,000 USD of risk per BTC
- Risk per trade: 0.5% of the account, so 500 USD
Position size
Size = 500 / 6,000 = 0.083 BTC. Notional = 0.083 x 100,000 = about 8,300 USD, under 0.1x the account. Commission on crypto is 0.03% per side on notional, about 2.50 USD per side. Crypto positions held through 00:30 UTC also pay an overnight charge, so a multi-day hold should budget for it.
How the daily limit interacts with a winning trade
Suppose BTC rallies and, at the 00:30 UTC reset five days later, your balance is 100,000 USD and the open trade shows 2,000 USD of floating profit. Equity is 102,000 USD, the higher figure, so the daily limit is set from equity: 4% of 102,000 = 4,080 USD, and the day's breach floor is 97,920 USD. If the account gives back more than 4,080 USD before the next reset, it breaches, even though equity would still be above your starting balance.
With one small position, that is unlikely. It becomes a real risk when you run several momentum positions at once, because momentum trades across assets often reverse together in a sharp market rebound. Add up the open risk across all positions, not just the one you are entering.
The static floor
The maximum drawdown floor stays at 93,000 USD no matter how much the account gains. It does not trail your equity, so profits from a strong momentum run build a genuine buffer. That suits a strategy whose results come in streaks.
How does momentum trading fit prop firm rules?
- Plan for streaks. Momentum tends to produce many small losses and fewer large wins. Size so a string of 10 losses at your normal risk stays well inside the daily limit and the static drawdown.
- Watch correlation. Several positions in tech stocks, QQQ and crypto can behave like one large trade in a sell-off.
- Single stock rules. If you trade momentum in single stocks, the Velotrade rules require you to close positions at least 24 hours before a scheduled earnings release, and tighter holding rules can apply outside market hours. Gaps around earnings are exactly where momentum traders get hurt.
- No max risk per trade, no consistency rule. Velotrade does not cap position size per trade, and the PRO 1-Step plan lists no consistency rule. That flexibility suits momentum's uneven results, but your own plan must set the cap.
- Evaluation pace. There is no maximum time limit on the evaluation, so there is no need to force momentum trades in a quiet, range-bound market.
Funded accounts start at an 80% profit split, with a paid add-on for 90%. Compare plan rules on the challenges page, see how holding strategies fit evaluations in best prop firm for swing traders, and build your daily routine with the risk management guide.
Common momentum trading mistakes
- Chasing extended moves far above the moving average, where the stop has to be very wide
- Selling just because RSI is above 70, which exits strong trends too early
- No exit rule, so open profits turn into losses
- Ignoring correlation between positions that all depend on the same market mood
- Holding through earnings or major news in single stocks
Trading involves risk, and most retail traders lose money. Momentum strategies can suffer sudden, deep drawdowns. Treat this guide as educational, test any strategy on historical data, and size it so a bad month cannot end your account.
Sources
- Jegadeesh, N. and Titman, S. (1993), "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency", The Journal of Finance: cross-sectional momentum over 3 to 12 month horizons.
- Moskowitz, T., Ooi, Y. H. and Pedersen, L. H. (2012), "Time Series Momentum", Journal of Financial Economics: time-series momentum in 58 futures and forward contracts.
- AQR, "Time Series Momentum" (paper summary): abstract and summary of the 2012 paper.
- Daniel, K. and Moskowitz, T., "Momentum Crashes", NBER Working Paper 20439: when and why momentum strategies suffer large losses.
- Investopedia, "Momentum Investing": overview of momentum investing.
- Investopedia, "What Is MACD?": MACD construction and signals.
- Investopedia, "Relative Strength": comparing an asset's performance with a benchmark or peers.
Frequently Asked Questions
About the author

Gianluca Pizzituti
Chief Executive Officer
Formerly on the derivatives desk at Dresdner Kleinwort in London, then founded and ran a proprietary HFT firm in FX and equity indices out of Singapore.
Velotrade was founded in Hong Kong in 2016 by a team from JP Morgan, Dresdner Kleinwort and Bank of America, has paid out over $2.5 billion to its trade-finance clients, and has been featured in Bloomberg, the Financial Times, the Wall Street Journal and on Nasdaq. Its prop trading evaluations are simulated and educational.
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