Artificial Intelligence (AI) has increasingly become the game-changer in the world of trading, serving as a catalyst for remarkable returns. One such example is our AI Swing Trader: Sector Rotation Strategy (TA&FA), which has been instrumental in driving a robust 48.81% return for SM Energy Company (SM) over the past year.
A Closer Look at the Oil & Gas Production Industry's Market Cap
Let's first take a look at the context within which SM operates. The company is part of the Oil & Gas Production Industry, where the average market capitalization is $3.26B. In this varied sector, market caps range from a minuscule 3.28K to an impressive 121.56B. ConocoPhillips (COP) stands out with the highest valuation at 121.56B, while the smallest player is PSTRQ valued at 3.28K.
Understanding Price Trends: The Ups and Downs
The average weekly price growth across all stocks in this industry was -3%, a trend which our AI trading robot managed to navigate effectively. The industry’s average monthly price growth was -2%, and quarterly it stood at -5%. Amid these dynamics, CNUCF saw the highest price growth at 61%, while DALXF underwent the most significant plunge at -69%.
Unpacking Volume Growth in the Industry
On the volume front, the weekly average across all stocks in the industry witnessed a decline of -21%. However, on a brighter note, the monthly and quarterly volume growth averages showed significant increases of 111% and 121%, respectively.
Our AI Swing Trader: Sector Rotation Strategy (TA&FA) has proven its effectiveness within the challenging terrain of the Oil & Gas Production Industry. It propelled SM to an impressive 48.81% return over the past year. By taking into account the intricate details of market capitalization, price trends, and volume growth, the AI has demonstrated its pivotal role in contemporary trading strategies. This exciting story, encapsulated in numbers, offers a glimpse of the transformative impact AI is set to have on the future of trading.
SM saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on August 22, 2023. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 47 instances where the indicator turned negative. In of the 47 cases the stock moved lower in the days that followed. This puts the odds of a downward move at .
The Momentum Indicator moved below the 0 level on September 13, 2023. You may want to consider selling the stock, shorting the stock, or exploring put options on SM as a result. In of 95 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
SM moved below its 50-day moving average on September 20, 2023 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 SM 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 RSI Indicator demonstrates that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 5 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 3-day Advance, the price is estimated to grow further. Considering data from situations where SM advanced for three days, in of 273 cases, the price rose further within the following month. The odds of a continued upward trend are .
SM 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 251 cases where SM Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating very 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 Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. SM’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 77, 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 (1.353) is normal, around the industry mean (6.197). P/E Ratio (4.255) is within average values for comparable stocks, (16.491). Projected Growth (PEG Ratio) (0.699) is also within normal values, averaging (2.534). Dividend Yield (0.016) settles around the average of (0.125) among similar stocks. P/S Ratio (1.763) is also within normal values, averaging (120.438).
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 developer of natural gas and crude oil properties
Industry OilGasProduction
A.I.dvisor indicates that over the last year, SM has been closely correlated with MUR. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if SM jumps, then MUR could also see price increases.