The S&P 500 and Nasdaq Composite have had a challenging April, with both indices expected to close the month in the negative territory. The S&P 500 has declined 1.3% since the start of the month, making it the second negative month in the last three months. The Nasdaq Composite has been hit harder, losing 3% in April, making it its worst month so far in 2023. The Dow has had a lackluster performance, up by only 0.08% this month. On a positive note, the Swing Trader ($6K per position): Volatility Balanced Strategy v.2 (TA) Robot has outperformed the S&P Index by over 5% this month.
This robot is designed for traders who prefer a balanced trading strategy, opening no more than 20-30 trades at a time with an average trade duration of 1 day.
The robot's risk management strategy is based on a trading balance of $100,000 and a position size of $6,000 per trade, but traders can adjust their trading balance as needed, with the position size changing proportionally. For example, if the trading balance is lowered to $50,000, the position size will be automatically adjusted to $3,000.
To select tradable stocks, the robot considers high and medium volatility stocks, allowing traders to adjust the algorithm based on market activity.
Here's how the robot operates:
Step 1: The algorithm evaluates the short- and medium-term trend for each selected stock.
Step 2: Using a proprietary set of technical indicators, the robot looks for a signal to open a trade.
Step 3: Depending on the volatility and direction of both types of trends, a separate algorithm determines the position size to be opened.
Once a trade is entered, the robot places a "Take profit" order with the distance depending on the current market volatility. To exit a position, the robot uses a fixed stop loss of 3% of the opening price and a flexible trailing stop to maximize profits if the market reverses.
The robot's trading results are shown without using margin. For a more detailed analysis of the robot's performance, traders can click the "Show more" button on the robot page to view trading statistics and equity charts. In the "Open Trades" tab, users can observe the robot's paper trades in real-time, while the "Closed trades" tab provides a review of all previous trades executed by the robot.
It's also worth highlighting the stocks of Shopify (SHOP), which this robot has traded and earned almost 5% just this week.
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.
SHOP moved above its 50-day moving average on September 21, 2026 date and that indicates a change from a downward trend to an upward trend. In 37 of 42 similar past instances, the stock price increased further within the following month. The odds of a continued upward trend are 88%.
The Momentum Indicator moved above the 0 level on September 22, 2026. You may want to consider a long position or call options on SHOP as a result. In 79 of 90 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 88%.
The Moving Average Convergence Divergence (MACD) for SHOP just turned positive on September 22, 2026. Looking at past instances where SHOP's MACD turned positive, the stock continued to rise in 43 of 52 cases over the following month. The odds of a continued upward trend are 83%.
The 10-day moving average for SHOP crossed bullishly above the 50-day moving average on September 29, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 10 of 13 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 77%.
Following a +3.70% 3-day Advance, the price is estimated to grow further. Considering data from situations where SHOP advanced for three days, in 259 of 317 cases, the price rose further within the following month. The odds of a continued upward trend are 82%.
SHOP may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Aroon Indicator entered an Uptrend today. In 164 of 214 cases where SHOP Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 77%.
The RSI Indicator demonstrates that the ticker has stayed in the overbought zone for 4 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
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 SHOP 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 74%.
The Tickeron PE Growth Rating for this company is 25 (best 1 - 100 worst), pointing to outstanding 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 Price Growth Rating for this company is 36 (best 1 - 100 worst), indicating steady price growth. SHOP’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron SMR rating for this company is 55 (best 1 - 100 worst), indicating strong sales and a profitable 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 Valuation Rating of 84 (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 (14.599) is normal, around the industry mean (51.922). P/E Ratio (97.304) is within average values for comparable stocks, (82.636). Projected Growth (PEG Ratio) (1.734) is also within normal values, averaging (3.135). Dividend Yield (0.000) settles around the average of (0.011) among similar stocks. P/S Ratio (12.755) is also within normal values, averaging (70.810).
The Tickeron Profit vs. Risk Rating rating for this company is 88 (best 1 - 100 worst), indicating that the returns do not compensate for the risks. SHOP’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 94, placing this stock better than average.
The Tickeron Seasonality Score of 95 (best 1 - 100 worst) indicates that the company is significantly overvalued 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 average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
an operator of eCommerce website that allows customers to sell online by providing software to create an online store
Industry PackagedSoftware