Tickeron's Quant team is delighted to introduce our latest AI-powered robot designed for trading small-cap stocks, employing a distinctive fundamental stock analysis algorithm. This algorithm, renowned for its blend of in-depth analysis and intuitive signal-following capabilities, is well-suited for both novice and seasoned traders.
Trend Trader, Long Only: Profitability Model for Small Cap Stocks (FA)
Click to view full description and closed trades for free!
Dive into the extraordinary features of our cutting-edge AI Robot designed to elevate your trading experience:
Algorithmic Brilliance: A Dual-Approach for Profitability Analysis
Our robot's algorithm is a fusion of two powerful approaches. Firstly, a proprietary method crafted by our team of quants conducts a comparative analysis of company profitability, utilizing indicators such as Total Revenue, Net Income, and EBITDA. This method ranks companies based on their scores, with the top 30 selected for opening positions. The second approach, inspired by renowned investor Ian Wyatt, delves into profitability metrics like Operating Income and EPS, ranking stocks based on maximum growth dynamics.
Balancing Stability and Growth: Empowering Stock Selection
The synergy of these methods empowers our robot to select stocks showcasing stable average profitability indicators coupled with high growth rates. It's a finely tuned strategy that balances stability and growth for optimal results.
Precision in Every Trade: Risk Management Strategies
Upon initiating a trade, our robot ensures precision with a fixed Stop Loss order set at 20% of the opening price. Monthly reviews keep positions dynamic, closing those falling below required levels, regardless of the Stop Loss. This meticulous approach safeguards your investments.
Here are the latest trades:
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 uptrend is expected.
The RSI Indicator shows that the ticker has stayed in the oversold zone for 3 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 Uptrend is expected.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where PANL advanced for three days, in of 295 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Momentum Indicator moved below the 0 level on November 18, 2024. You may want to consider selling the stock, shorting the stock, or exploring put options on PANL as a result. In of 91 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 PANL turned negative on November 18, 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 47 similar instances when the indicator turned negative. In of the 47 cases the stock turned lower in the days that followed. This puts the odds of success at .
PANL moved below its 50-day moving average on November 13, 2024 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where PANL declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
PANL broke above its upper Bollinger Band on November 06, 2024. 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 Aroon Indicator for PANL entered a downward trend on October 24, 2024. 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 Valuation Rating of (best 1 - 100 worst) indicates that the company is seriously undervalued 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 (0.801) is normal, around the industry mean (2.267). P/E Ratio (12.085) is within average values for comparable stocks, (22.339). PANL's Projected Growth (PEG Ratio) (0.000) is very low in comparison to the industry average of (0.597). Dividend Yield (0.070) settles around the average of (0.082) among similar stocks. P/S Ratio (0.502) is also within normal values, averaging (2.069).
The Tickeron PE Growth Rating for this company is (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 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 71, placing this stock slightly better than average.
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 Price Growth Rating for this company is (best 1 - 100 worst), indicating slightly worse than average price growth. PANL’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a provider of seaborne dry bulk transportation services
Industry MarineShipping