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.
CSIQ’s TA Score shows that 3 TA indicator(s) are bullish while FTCI’s TA Score has 4 bullish TA indicator(s).
CSIQ | FTCI | CSIQ / FTCI | |
Capitalization | 1.27B | 67.7M | 1,882% |
EBITDA | 637M | -49M | -1,300% |
Gain YTD | -54.556 | -36.057 | 151% |
P/E Ratio | 3.95 | N/A | - |
Revenue | 7.88B | 127M | 6,207% |
Total Cash | 1.92B | 25.2M | 7,623% |
Total Debt | 4.54B | 1.86M | 243,294% |
CSIQ | ||
---|---|---|
OUTLOOK RATING 1..100 | 18 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 75 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 87 | |
PRICE GROWTH RATING 1..100 | 85 | |
P/E GROWTH RATING 1..100 | 3 | |
SEASONALITY SCORE 1..100 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
CSIQ | FTCI | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago83% | 2 days ago76% |
Momentum ODDS (%) | 2 days ago86% | 2 days ago88% |
MACD ODDS (%) | 2 days ago90% | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago83% | 2 days ago89% |
TrendMonth ODDS (%) | 2 days ago84% | 2 days ago87% |
Advances ODDS (%) | 10 days ago79% | 22 days ago85% |
Declines ODDS (%) | 2 days ago84% | 2 days ago90% |
BollingerBands ODDS (%) | 2 days ago81% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago84% | 7 days ago75% |
A.I.dvisor indicates that over the last year, CSIQ has been loosely correlated with JKS. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is some statistical probability that if CSIQ jumps, then JKS could also see price increases.
Ticker / NAME | Correlation To CSIQ | 1D Price Change % | ||
---|---|---|---|---|
CSIQ | 100% | -1.41% | ||
JKS - CSIQ | 66% Loosely correlated | +1.08% | ||
RUN - CSIQ | 60% Loosely correlated | +5.44% | ||
NOVA - CSIQ | 55% Loosely correlated | +0.59% | ||
ENPH - CSIQ | 54% Loosely correlated | +0.50% | ||
FCEL - CSIQ | 54% Loosely correlated | +4.56% | ||
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A.I.dvisor indicates that over the last year, FTCI has been loosely correlated with GWH. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if FTCI jumps, then GWH could also see price increases.
Ticker / NAME | Correlation To FTCI | 1D Price Change % | ||
---|---|---|---|---|
FTCI | 100% | -2.64% | ||
GWH - FTCI | 37% Loosely correlated | -2.20% | ||
ARRY - FTCI | 35% Loosely correlated | +1.97% | ||
CSIQ - FTCI | 34% Loosely correlated | -1.41% | ||
RUN - FTCI | 33% Loosely correlated | +5.44% | ||
SPI - FTCI | 33% Poorly correlated | -9.22% | ||
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