Over 5% Weekly Gain on $NET Stocks: A Remarkable Achievement by Our Robots!
Last week was relatively lackluster for financial markets, but some robots managed to achieve impressive results. One such successful robot is Swing-trader-Top-High-Volatility-Stocks-v-2-TA, which earned over 5% on NET stocks, outperforming many indices. Let's explore how this robot operates and what methods it employs to achieve such remarkable performance.
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Creating an AI robot for high-volatility stocks To effectively trade high-volatility stocks, the development team designed a unique AI robot. This robot was specifically tailored for traders dealing with assets whose prices frequently experience significant fluctuations.
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Algorithms based on technical indicators To excel in high-volatility trading, a pool of algorithms was created, based on a proprietary combination of technical indicators with individually tuned parameters. This allows the robot to adapt to various stocks and vary its approach for each instrument.
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Neural networks and backtests To determine the best-performing stocks for trading, the team utilized neural networks and conducted thousands of backtests. This process helped identify which stocks yield the best performance considering the chosen strategy.
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Flexible position exits Upon entering a trade, the robot places a "Take profit" order, the distance of which depends on the current market volatility. To exit a position, the robot employs two options: a stop loss set at 2-4% of the position's opening price and a flexible trailing stop, which allows preserving most of the profit in case of market reversals.
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The robot's trading results are shown without using margin. For a more comprehensive trading statistics and equity chart, users can click on the "show more" link on the robot's page. In the "Open Trades" tab, traders can observe live how the AI robot selects equities, enters, and exits paper trades. In the "Closed trades" tab, users can review all previous trades executed by the AI robot.
The robot designed for trading high-volatility stocks demonstrated impressive results, outperforming many indices in a sluggish market. The development team's unique approach, based on algorithms, neural networks, and flexible position exit strategies, enables the robot to effectively utilize capital and achieve excellent performance in high-volatility markets.
NET's Stochastic Oscillator sits in oversold zone for 2 days
Be on the lookout for a price bounce soon.
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