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2. Short-term trading - Wikipedia

   en.wikipedia.org/wiki/Short-term_trading

   There are two main schools of thought: swing trading and trend following. Day trading is an extremely short-term style of trading in which all positions entered during a trading day are exited the same day. Short term trading can be risky and unpredictable due to the volatile nature of the stock market at times. Within the time frame of a day ...

3. Day trading - Wikipedia

   en.wikipedia.org/wiki/Day_trading

   Chart of the NASDAQ-100 between 1994 and 2004, including the dot-com bubble. Day trading is a form of speculation in securities in which a trader buys and sells a financial instrument within the same trading day, so that all positions are closed before the market closes for the trading day to avoid unmanageable risks and negative price gaps between one day's close and the next day's price at ...

4. Trading strategy - Wikipedia

   en.wikipedia.org/wiki/Trading_strategy

   The trading strategy is developed by the following methods: Automated trading; by programming or by visual development. Trading Plan Creation; by creating a detailed and defined set of rules that guide the trader into and through the trading process with entry and exit techniques clearly outlined and risk, reward parameters established from the outset.

5. Trading options on Bitcoin ETFs: 5 key tactics for traders - AOL

   www.aol.com/finance/trading-options-bitcoin-etfs...

   As you’re thinking about trading options on Bitcoin, here are five key trading tips to be aware of. 1. Bitcoin ETF options are likely to be expensive.

6. 16 Things That Have No Business Being As Expensive As They Are

   www.aol.com/finance/16-things-no-business-being...

   Eggs. In 2020, eggs were just $1.45 and this year, they're $3.00. If this seems extreme to you, you haven't been paying attention. Last year, a dozen eggs went for $4.82, suggesting a pretty ...

7. Stock market prediction - Wikipedia

   en.wikipedia.org/wiki/Stock_market_prediction

   The loss function used to evaluate the quality of the classification model can be either the accuracy of the prediction (defined as the number of times that the classifier predicted the correct sign divided by the total number of predictions made) [10] or the total return of a trading strategy that bought when the classifier predicted a ...