The stock market was positive, with the S&P index rising by 1.35% to 4170 points, approaching local highs. The robots used a small correction to mainly increase positions and have already closed them out, such as the QuantumScape Corp stock with a 3.25% profit.
One noteworthy robot is the Swing Trader High Volatility Stocks for Active Trading TA-FA bySwing-Trader-High-Volatility-Stocks-for-Active-Trading-TA-FA. This AI robot is suitable for traders who prefer high-volatility stocks but want to avoid significant drawdowns during downtrends. The robot uses a pool of technical indicators to identify uptrend reversal points, balance short and long positions, and prevent long drawdowns.
The robot is for active traders who can monitor 40-50 trades simultaneously. The average transaction duration is one day, allowing users to make effective use of their capital without getting stuck in trades for extended periods. The robot uses a proprietary method to assess the strength and quality of momentum in the most active stocks in the US stock market, using a complex algorithm consisting of technical indicators processed using neural networks to determine the entry points to a position.
Once a trade is entered, the robot places a fixed "Take Profit" order at 3.5% of the position opening price. To exit a position, the robot uses a fixed stop loss at 3% of the position opening price and a flexible trailing stop that can help save most of the profit if the market reverses. The robot's trading results are shown without using margin.
Today is Friday, and we are expecting the Retail Sales report for March, with the market likely to move up smoothly. Good luck in trading!
Harry Richardson — Algorithmic Trader & Strategy Developer Harry is an algorithmic trader specializing in impulse and breakout trading strategies across cryptocurrency and equity markets. With more than 10 years of experience in developing automated trading systems, he focuses on building structured algorithms designed to capture momentum while maintaining strict risk control. His approach combines quantitative analysis, real-market execution, and continuous performance monitoring. Vitalii prioritizes risk management, drawdown control, and strategy stability over short-term optimization, ensuring algorithms are adaptable to changing market conditions. He has developed and tested hundreds of automated strategies, working extensively with live trading environments, forward testing, and portfolio-level algorithm management. His work centers on transforming trading ideas into fully operational, scalable automated systems.
The Aroon Indicator for QS entered a downward trend on October 05, 2026. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 274 similar instances where the Aroon Indicator formed such a pattern. In 253 of the 274 cases the stock moved lower. This puts the odds of a downward move at 90%.
The Moving Average Convergence Divergence Histogram (MACD) for QS turned negative on August 31, 2026. 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 45 similar instances when the indicator turned negative. In 37 of the 45 cases the stock turned lower in the days that followed. This puts the odds of success at 82%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where QS declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 88%.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where QS's RSI Indicator exited the oversold zone, 27 of 30 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 22 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a +1.86% 3-day Advance, the price is estimated to grow further. Considering data from situations where QS advanced for three days, in 197 of 238 cases, the price rose further within the following month. The odds of a continued upward trend are 83%.
QS may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Tickeron Valuation Rating of 41 (best 1 - 100 worst) indicates that the company is fair valued 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 (2.677) is normal, around the industry mean (6.969). P/E Ratio (0.000) is within average values for comparable stocks, (71.549). Projected Growth (PEG Ratio) (0.000) is also within normal values, averaging (1.471). Dividend Yield (0.000) settles around the average of (0.011) among similar stocks. P/S Ratio (0.000) is also within normal values, averaging (49.084).
The Tickeron Seasonality Score of 47 (best 1 - 100 worst) indicates that the company is fair valued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
The Tickeron Price Growth Rating for this company is 87 (best 1 - 100 worst), indicating slightly worse than average price growth. QS’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron SMR rating for this company is 97 (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 100 (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 Tickeron Profit vs. Risk Rating rating for this company is 100 (best 1 - 100 worst), indicating that the returns do not compensate for the risks. QS’s unstable profits reported over time resulted in significant Drawdowns within these last five years. A stable profit reduces stock drawdown and volatility. The average Profit vs. Risk Rating rating for the industry is 88, placing this stock worse than average.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Industry AutoPartsOEM