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.
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.
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.
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.
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.
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.
The RSI Indicator for NET moved out of oversold territory on April 09, 2025. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 20 similar instances when the indicator left oversold territory. In of the 20 cases the stock moved higher. This puts the odds of a move higher at .
The Momentum Indicator moved above the 0 level on April 21, 2025. You may want to consider a long position or call options on NET as a result. In of 85 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .
The Moving Average Convergence Divergence (MACD) for NET just turned positive on April 14, 2025. Looking at past instances where NET's MACD turned positive, the stock continued to rise in of 49 cases over the following month. The odds of a continued upward trend are .
NET moved above its 50-day moving average on May 01, 2025 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for NET crossed bullishly above the 50-day moving average on May 06, 2025. This indicates that the trend has shifted higher and could be considered a buy signal. In of 16 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where NET advanced for three days, in of 330 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Aroon Indicator entered an Uptrend today. In of 296 cases where NET Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 9 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where NET declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
NET broke above its upper Bollinger Band on April 24, 2025. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. NET’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 87, placing this stock slightly better than average.
The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly overvalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (42.373) is normal, around the industry mean (30.917). P/E Ratio (0.000) is within average values for comparable stocks, (160.020). Projected Growth (PEG Ratio) (2.377) is also within normal values, averaging (2.714). Dividend Yield (0.000) settles around the average of (0.029) among similar stocks. P/S Ratio (24.631) is also within normal values, averaging (59.831).
The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating weak sales and an unprofitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to worse than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a company, which engages in the provision of cloud-based services to secure websites
Industry PackagedSoftware