8 Major Mistakes Day Traders Make

Trading effectively is a learned skill, and it takes practice. Every trader makes mistakes somewhere along the way, but that doesn’t mean these mistakes are inevitable. In fact, many are easy mistakes to avoid, as long as investors know what they are and can exercise some discipline. Here are eight mistakes to avoid.

1. Using ‘Gut Feelings’ to Time the Market

Markets are unpredictable. There are time-honored methods you can use to analyze market patterns and behavior, but no one can predict it with 100% certainty. But one of the biggest mistakes a trader can make is trying to time the market using just “gut feelings” – instead of hard data. Instead of playing the guessing game to make trades, traders should rely on fundamental and technical analysis to make smart trades. Tickeron’s Trend Prediction Engine is a good place to start – it uses A.I. to analyze historic trends and offers Prediction Confidence Levels to help you make trades based on real data and not your gut.

2. Not Knowing Your Odds of Success Before You Trade

If you’re making a trade based on a technical trading pattern or an indicator, have you back-tested it to see how often the security reaches actually reached its target price, historically? Using charts to find patterns can be thrilling, especially when you think you find a trade that fits perfectly. But if you don’t go a step further and get supporting data that can tell you the probability that the security will reach its target price, you’re leaving keying information on the table. Tickeron has algorithmically-powered day trading tools that scan thousands of stocks and ETFs for patterns, breakouts, and target prices, the A.I. goes a step further to determine confidence levels and the odds of a success of every trade.

3. A Good Story Doesn’t Mean a Good Investment

Everyone loves a great story, but good press coverage doesn’t always correlate to smart investments. Knowledge is power – successful investors look beyond media hype and gather insights from data to better determine the potential of an asset. A.I. makes it possible to analyze data at a scale and accuracy level far exceeding human ability, showing you the underlying trends (and not the fluff) that make for profitable trading.

4. Panicking in Volatile Markets

Markets are volatile – it can be tempting to make instinctive, emotional decisions when a market is performing poorly. That’s where Tickeron A.I. comes in. Pattern analysis, trend predictions, and more remove emotion from the equation and give the knowledge you need to be confident and stay the course or exit.

5. Being Afraid to Sell

No one like to take a loss, but experienced traders know sometimes it’s best to say goodbye to underperforming assets. Tools like the Pattern Search Engine comb price charts for bullish and bearish patterns and price trends that can alert you of potential swings or expected changes in price.

6. Playing the Waiting Game

‘Buy low, sell high’ is the guiding principle of any investor, but that doesn’t mean that traders should wait for a stock to dip and purchase every stock amid a downtrend. The Pattern Search Engine uses Tickeron’s A.I.dvisor to scan the market to locate patterns of your choice, then provides you with breakout prices, predicted target prices, confidence levels, and other statistics to make trades at the most advantageous times.

7. Overweighting Assets

At any given time, certain sectors will outperform others (as will individual assets within each sector). Putting all your eggs in one basket, however, means potentially overweighting asset classes and risking heavy losses. Smart investors diversify and rebalance their portfolios even if an asset class is performing well. Tickeron’s Asset Allocator and Diversification Score use A.I. to comb through data and deliver the insights you need to do build an effective portfolio.

8. Following the Pack

Novice traders can be guilty of following the pack a bit too closely. This can mean overpaying in uptrends and thinking short when an asset is on the verge of a turnaround. A.I. backed Decision Confidence Levels offer analysis and statistics to set you apart from the rest of the field – and position you to capitalize when others might be content to stick with the herd.

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