There are many different types of strategies that can be coded using Pine Script. Some examples include:

1. Trend following strategies: These strategies aim to identify the direction of the trend and enter trades in the same direction. They can use indicators such as moving averages, MACD, or ADX to determine the trend.
2. Breakout strategies: These strategies aim to enter trades when the price breaks out of a certain level, such as a resistance or support level. They can use technical analysis concepts such as support and resistance or trendlines to identify potential breakout levels.
3. Mean reversion strategies: These strategies aim to enter trades when the price deviates significantly from its average and is expected to revert back to its average. They can use indicators such as Bollinger Bands or the Relative Strength Index to identify overbought and oversold conditions.
4. Momentum strategies: These strategies aim to enter trades when the momentum of the price is strong. They can use indicators such as the Relative Strength Index or the Rate of Change to identify momentum.
5. Algorithmic trading strategies: These strategies use mathematical algorithms and statistical models to generate trading signals. They can be based on machine learning, artificial intelligence, or other advanced techniques.
6. Arbitrage strategies: These strategies aim to exploit price discrepancies between different markets or assets. They can use techniques such as statistical arbitrage, pair trading, or triangular arbitrage to generate trading signals.

7. News-based strategies: These strategies use news and events to generate trading signals. They can use natural language processing and sentiment analysis to analyze news articles and social media posts, and use the information to enter or exit trades.

8. Volatility strategies: These strategies aim to profit from changes in volatility. They can use options, futures or other derivatives to take advantage of volatility changes.

9. Value investing strategies: These strategies aim to identify undervalued assets and enter long positions. They can use techniques such as fundamental analysis, discounted cash flow analysis, or return on equity to identify undervalued assets.

10. Quantitative strategies: These strategies use mathematical models and statistical techniques to generate trading signals. They can be based on technical analysis, econometrics, or other quantitative techniques.

11. Event-driven strategies: These strategies aim to profit from specific events, such as earnings releases, mergers and acquisitions, or regulatory changes. They can use techniques such as event study or event-driven modeling to generate trading signals.

12. Grid trading strategies: These strategies use a grid of multiple orders to enter and exit trades. They can be based on price levels or time frames, and can be used to take advantage of market volatility or to hedge risk.

13. Renko chart strategies: These strategies use Renko charts to generate trading signals. Renko charts are based on price movements instead of time, and can help to filter out market noise and identify trends.

14. Ichimoku strategies: These strategies use Ichimoku Kinkō Hyō indicator, which is a technical analysis method that uses several moving averages to identify trends and support and resistance levels.

Please note that these are just a few examples and there are many other types of strategies that can be coded using Pine Script. Additionally, it's important to note that the performance of a strategy may vary based on the underlying asset, market conditions and the risk management. It's important to conduct thorough backtesting and optimization of any strategy before using it in real trading.