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.
All positions closed before the session ends — no overnight exposure. Focus on liquid markets with tight spreads and sufficient intraday range. Risk per trade typically limited to 0.5-1% of account. Relies on Level 2 data, time and sales, and intraday chart patterns. Requires a structured trading plan with specific session times.
Trade the opening range breakout in the first 30-60 minutes of a session. Enter at pre-identified key intraday levels (prior day high/low, overnight high/low, VWAP). Look for clean setups during high-volume periods and avoid midday chop. Use 1-minute or 5-minute chart patterns confirmed by volume spikes.
Take profits at the next key intraday level or a predetermined risk-reward ratio. Use time-based stops — if a trade has not moved within a set period, exit. Close all positions before the session ends regardless of profit or loss. Trail stops using lower-timeframe structure once a trade moves in your favour.
1M, 5M, 15M
The best day traders are highly selective — they wait for A+ setups rather than forcing trades in every market condition. Focus on one or two liquid instruments rather than scanning dozens. Track your performance by session time to identify when you trade best and worst.
Mean reversion trading is based on the principle that prices tend to return to a statistical average over time. When price deviates significantly from its mean (typically represented by a moving average or VWAP), mean reversion traders take positions expecting a snapback toward that average. This approach systematically exploits overextended moves and excesses in market sentiment.
Contrarian trading involves taking positions against the prevailing market consensus, buying when fear is extreme and selling when euphoria peaks. This approach exploits the tendency for crowd sentiment to reach unsustainable extremes at market turning points. Contrarian traders use sentiment indicators, positioning data, and extreme technical readings to identify moments when the market is likely to reverse.
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.
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.