#MyTradingStyle 1. Scalping**

- **Timeframe:** Seconds to minutes.

- **Holding Period:** Extremely short (seconds to minutes).

- **Key Traits:** High frequency, small profit targets, relies on tight spreads and quick execution.

- **Best For:** Traders who can make fast decisions and handle stress.

2. Day Trading**

- **Timeframe:** Minutes to hours.

- **Holding Period:** All positions closed before market close.

- **Key Traits:** Uses technical analysis, avoids overnight risk, focuses on liquid stocks/forex/crypto.

- **Best For:** Disciplined traders who can dedicate full attention to markets.

3. Swing Trading

- **Timeframe:** Hours to days/weeks.

- **Holding Period:** Days to weeks.

- **Key Traits:** Captures short- to medium-term trends, uses both technical and fundamental analysis.

- **Best For:** Traders who can’t monitor screens all day but can hold positions overnight.

4. Position Trading (Trend Following)

- **Timeframe:** Weeks to months/years.

- **Holding Period:** Long-term, based on macroeconomic or fundamental trends.

- **Key Traits:** Less frequent trades, focuses on big moves, requires patience.

- **Best For:** Investors who prefer a trading approach similar to long-term investing.

5. Algorithmic/Quantitative Trading

- **Timeframe:** Milliseconds to days (automated).

- **Holding Period:** Varies by strategy (HFT, mean reversion, momentum).

- **Key Traits:** Rule-based, backtested strategies, requires coding/automation skills.

- **Best For:** Tech-savvy traders comfortable with coding (Python, MQL, etc.).

6. News/Event-Based Trading

- **Timeframe:** Seconds to hours.

- **Holding Period:** Very short, reacts to news/events (earnings, FOMC, etc.).

- **Key Traits:** High volatility, quick reactions, often uses options or futures.

- **Best For:** Traders who understand market sentiment and news impact.

Which One Fits You?

- Do you prefer fast-paced trading (scalping/day trading) or a more relaxed approach (swing/position trading)?

- Are you technical (charts) or fundamental (news/data) focused?