It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
SDOT’s FA Score shows that 1 FA rating(s) are green whileVITL’s FA Score has 0 green FA rating(s).
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
SDOT’s TA Score shows that 2 TA indicator(s) are bullish while VITL’s TA Score has 6 bullish TA indicator(s).
SDOT (@Agricultural Commodities/Milling) experienced а -8.08% price change this week, while VITL (@Agricultural Commodities/Milling) price change was +5.64% for the same time period.
The average weekly price growth across all stocks in the @Agricultural Commodities/Milling industry was +2.99%. For the same industry, the average monthly price growth was -2.59%, and the average quarterly price growth was -10.41%.
SDOT is expected to report earnings on Mar 19, 2025.
VITL is expected to report earnings on Mar 06, 2025.
The Agricultural Commodities/Milling industry includes companies that are involved in farming activities, such as crop production, livestock management and animal feed, for commercial purposes. The industry includes a wide range of operations from growing corn, to grain and oilseed processing to the operation of flour mills. Changes in consumer tastes is one of the critical factors influencing what products are grown and raised in this industry. Potential risks to the business include climate change and fluctuations in global prices of agricultural products. Archer-Daniels-Midland Company, Elanco Animal Health, Inc., Bunge Limited and Canopy Growth Corporation are some of the biggest U.S. companies operating in this industry.
SDOT | VITL | SDOT / VITL | |
Capitalization | 12.8M | 972M | 1% |
EBITDA | -5.78M | 40.9M | -14% |
Gain YTD | -9.114 | 152.964 | -6% |
P/E Ratio | N/A | 40.07 | - |
Revenue | 727M | 472M | 154% |
Total Cash | 1.35M | 117M | 1% |
Total Debt | 8.57M | 22.6M | 38% |
SDOT | VITL | |
---|---|---|
RSI ODDS (%) | 3 days ago90% | 3 days ago56% |
Stochastic ODDS (%) | 3 days ago90% | 3 days ago70% |
Momentum ODDS (%) | 3 days ago88% | 3 days ago72% |
MACD ODDS (%) | 3 days ago90% | 3 days ago74% |
TrendWeek ODDS (%) | 3 days ago87% | 3 days ago76% |
TrendMonth ODDS (%) | 3 days ago87% | 3 days ago74% |
Advances ODDS (%) | N/A | 3 days ago75% |
Declines ODDS (%) | 3 days ago90% | 5 days ago83% |
BollingerBands ODDS (%) | 3 days ago90% | 3 days ago70% |
Aroon ODDS (%) | 3 days ago90% | 3 days ago79% |
A.I.dvisor indicates that over the last year, SDOT has been closely correlated with SANW. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if SDOT jumps, then SANW could also see price increases.
Ticker / NAME | Correlation To SDOT | 1D Price Change % | ||
---|---|---|---|---|
SDOT | 100% | -2.15% | ||
SANW - SDOT | 87% Closely correlated | +5.89% | ||
AGRO - SDOT | 20% Poorly correlated | -0.31% | ||
DOLE - SDOT | 9% Poorly correlated | -0.80% | ||
VFF - SDOT | 8% Poorly correlated | +4.85% | ||
LND - SDOT | 8% Poorly correlated | +1.09% | ||
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A.I.dvisor tells us that VITL and TSN have been poorly correlated (+22% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that VITL and TSN's prices will move in lockstep.
Ticker / NAME | Correlation To VITL | 1D Price Change % | ||
---|---|---|---|---|
VITL | 100% | +2.45% | ||
TSN - VITL | 22% Poorly correlated | -0.31% | ||
CALM - VITL | 21% Poorly correlated | -1.42% | ||
SDOT - VITL | 16% Poorly correlated | -2.15% | ||
SISI - VITL | 11% Poorly correlated | +8.78% | ||
AFRI - VITL | 10% Poorly correlated | +3.98% | ||
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