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 Stochastic Oscillator for NET moved into oversold territory on March 31, 2025. Be on the watch for the price uptrend or consolidation in the future. At that time, consider buying the stock or exploring call options.
The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where NET's RSI Oscillator exited the oversold zone, of 20 resulted in an increase in price. Tickeron's analysis proposes that 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 329 cases, the price rose further within the following month. The odds of a continued upward trend are .
NET may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Momentum Indicator moved below the 0 level on March 28, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on NET as a result. In of 87 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for NET turned negative on March 31, 2025. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 52 similar instances when the indicator turned negative. In of the 52 cases the stock turned lower in the days that followed. This puts the odds of success at .
NET moved below its 50-day moving average on March 06, 2025 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for NET crossed bearishly below the 50-day moving average on March 12, 2025. This indicates that the trend has shifted lower and could be considered a sell signal. In of 16 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .
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 .
The Aroon Indicator for NET entered a downward trend on March 24, 2025. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying 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 88, 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 (30.873). P/E Ratio (0.000) is within average values for comparable stocks, (159.445). Projected Growth (PEG Ratio) (2.377) is also within normal values, averaging (2.727). Dividend Yield (0.000) settles around the average of (0.032) among similar stocks. P/S Ratio (24.631) is also within normal values, averaging (59.201).
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