Momentum trading is a strategy that buys assets showing strong recent performance and sells those showing weak performance, based on the empirically observed tendency for recent winners to continue outperforming and recent losers to continue underperforming over intermediate horizons. This persistence of returns has been documented across equities, commodities, currencies, and crypto markets over decades of academic research.
Momentum is the tendency for assets with strong recent returns to continue rising and those with weak returns to continue falling. Relative momentum compares an asset's performance against a universe of peers to rank and select the strongest. Absolute momentum evaluates whether an asset's own recent return exceeds a threshold (such as the risk-free rate). Time-series momentum (trend following) and cross-sectional momentum (relative strength) are distinct but complementary strategies. Momentum crashes can occur when crowded momentum positions unwind rapidly, typically during market stress. Look-back periods of three to twelve months tend to produce the strongest momentum signals.
Enter long positions in the top decile of relative momentum performers over a three to twelve month look-back. Use absolute momentum as a filter — only hold assets with positive recent returns. Enter when rate of change or relative strength indicators confirm price leadership. Initiate positions on pullbacks within a strong momentum trend for better risk-to-reward.
Exit when an asset's relative momentum ranking falls below a pre-defined threshold. Sell when absolute momentum turns negative, indicating the asset is underperforming cash. Use trailing stops to capture extended momentum runs while protecting capital. Exit immediately during momentum crash conditions indicated by sharp reversals on extreme volume.
Daily, Weekly, Monthly
Momentum is one of the most well-documented and persistent anomalies in financial markets. The greatest risk is the momentum crash — a sudden reversal where recent winners plunge and recent losers surge. Diversifying across multiple assets and using absolute momentum as a risk filter significantly reduces crash exposure. Momentum works best as a systematic, rules-based approach rather than a discretionary one.
Day trading involves opening and closing all positions within a single trading session, seeking to profit from intraday price movements. Day traders rely on short-term technical setups, level-to-level trading, and disciplined risk management to capture multiple small gains throughout the day. This style demands intense focus, fast execution, and strict rules to avoid carrying overnight risk.
News and sentiment trading incorporates breaking news, economic data releases, social media sentiment, and market psychology into trading decisions. This approach recognises that markets are driven by narratives and information flow as much as by technicals, and that the speed and accuracy of interpreting news events creates tradable edge. Sentiment analysis tools aggregate data from social media, news sources, and options markets to quantify crowd psychology.
Breakout trading involves entering a position when price moves decisively beyond a defined level of support, resistance, or consolidation. The strategy capitalises on the increased momentum and volatility that typically follow the breach of a significant level. The key challenge is distinguishing genuine breakouts from false ones, which requires volume confirmation, context analysis, and disciplined stop placement.
Range trading exploits markets that are moving sideways between clearly defined support and resistance levels. Traders buy near support and sell near resistance, capitalising on the predictable oscillation. This style thrives in non-trending conditions where many trend-following strategies struggle, making it a valuable complement to a trader's toolkit.