There are always new trading techniques being developed and refined in the financial markets. Here are a few examples:

1. Algorithmic Trading: Algorithmic trading involves using computer programs to execute trades automatically based on pre-determined criteria and rules. This technique is used by many large financial institutions and hedge funds to execute trades quickly and efficiently.

2. High-Frequency Trading: High-frequency trading is a subset of algorithmic trading that involves using complex algorithms and powerful computers to execute trades at incredibly fast speeds. This technique is used by firms that seek to profit from small price movements in the markets.

3. Social Trading: Social trading involves using social networks and online platforms to share trading ideas and strategies with other traders. This technique allows traders to follow and copy the trades of successful traders, potentially earning profits without having to do extensive research themselves.

4. Quantitative Trading: Quantitative trading involves using mathematical models and statistical analysis to identify trading opportunities and make trading decisions. This technique is used by firms that have large amounts of data and the computational power to analyze it.

5. Options Trading: Options trading involves buying and selling options contracts, which give the buyer the right, but not the obligation, to buy or sell an underlying asset at a specific price on or before a specific date. Options trading can be used to hedge risk or to speculate on the direction of the markets.

These are just a few examples of the many trading techniques being used in the financial markets today. It's important to note that not alltrading techniques are suitable for all investors or traders, and that it's important to carefully consider and understand the risks involved before implementing any trading strategy.