Buying assets that have plummeted in hopes of a "dead cat bounce" or recovery.
Waiting for the price to break a level and return to "test" it before committing.
Specifically targeting companies with a history of increasing payouts.
Entering trades at key mathematical levels (38.2%, 61.8%) during a trend pullback.
Adding to a winning position as it moves in your favor.
Filtering trades based on Environmental, Social, and Governance criteria.
Using previous day’s highs, lows, and closes to predict support and resistance.
The belief that prices eventually return to their historical average.
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