We have created this AI Robot for those traders who are not afraid to take risks and want to earn more by trading stocks with high volatility. This robot is most suitable for active traders who have enough time to track 10-15 trades at the same time. The average duration of a transaction is 19 hours, which allows our users to effectively use their capital and not get stuck in a trade for a long time.
To create this robot, we used the following steps:
1. Created a universe of highly volatile stocks.
2. Created a pool of mathematical algorithms based on a proprietary combination of technical indicators with individually selected parameters.
3. Using neural networks, we conducted thousands of backtests to determine the most performing stocks.
4. Created a mechanism that, based on the analysis of the current volatility and the mid-term trend, allows the robot to choose the most appropriate system for each stock at that moment
After entering the trade, the AI Robot places a fixed order "Take profit", the distance to which depends on the current market volatility. To exit a position, the robot uses 2 options: a fixed stop loss of 2-4% of the position opening price and a flexible trailing stop that allows you to save most of the profit if the market reverses.
The robot's trading results are shown without using a margin. For a full trading statistics and equity chart, click on the "show more" button on the robot page. In the tab “Open Trades”, a user can see live how the AI Robot selects equities, enters, and exits in paper trades. In the tab “Closed trades”, a user can review all previous trades made by the AI Robot.
Click to view all statistics and closed trades
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Review statistics and all closed trades of our AI Robots for free!
The 50-day moving average for SHOP moved above the 200-day moving average on October 07, 2024. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SHOP advanced for three days, in of 332 cases, the price rose further within the following month. The odds of a continued upward trend are .
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 of 268 cases where SHOP Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The 10-day RSI Indicator for SHOP moved out of overbought territory on September 27, 2024. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 40 similar instances where the indicator moved out of overbought territory. In of the 40 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Momentum Indicator moved below the 0 level on October 22, 2024. You may want to consider selling the stock, shorting the stock, or exploring put options on SHOP 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 SHOP turned negative on October 15, 2024. 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 49 similar instances when the indicator turned negative. In of the 49 cases the stock turned lower in the days that followed. This puts the odds of success at .
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 of 62 cases within the following month. The odds of a continued downward trend are .
The Tickeron Price Growth Rating for this company is (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 (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 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 (11.099) is normal, around the industry mean (30.698). P/E Ratio (781.900) is within average values for comparable stocks, (161.895). Projected Growth (PEG Ratio) (1.291) is also within normal values, averaging (2.738). Dividend Yield (0.000) settles around the average of (0.083) among similar stocks. P/S Ratio (14.347) is also within normal values, averaging (55.771).
The Tickeron Seasonality Score of (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 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
an operator of eCommerce website that allows customers to sell online by providing software to create an online store
Industry PackagedSoftware