CHINDSHI technical analysis
This gauge displays a real-time technical analysis overview for your selected timeframe. The summary of CHIMERA S&P INDIA SHARIAH ETF-SHARE CLASS B INCOME is based on the most popular technical indicators, such as Moving Averages, Oscillators and Pivots. Learn more
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Sell0
Neutral0
Buy0
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Sell0
Neutral0
Buy0
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Sell0
Neutral0
Buy0
| Name | Value | Action |
|---|---|---|
| Relative Strength Index (14) | — | — |
| Stochastic %K (14, 3, 3) | — | — |
| Commodity Channel Index (20) | — | — |
| Average Directional Index (14) | — | — |
| Awesome Oscillator | — | — |
| Momentum (10) | — | — |
| MACD Level (12, 26) | — | — |
| Stochastic RSI Fast (3, 3, 14, 14) | — | — |
| Williams Percent Range (14) | — | — |
| Bull Bear Power | — | — |
| Ultimate Oscillator (7, 14, 28) | — | — |
| Name | Value | Action |
|---|---|---|
| Exponential Moving Average (10) | — | — |
| Simple Moving Average (10) | — | — |
| Exponential Moving Average (20) | — | — |
| Simple Moving Average (20) | — | — |
| Exponential Moving Average (30) | — | — |
| Simple Moving Average (30) | — | — |
| Exponential Moving Average (50) | — | — |
| Simple Moving Average (50) | — | — |
| Exponential Moving Average (100) | — | — |
| Simple Moving Average (100) | — | — |
| Exponential Moving Average (200) | — | — |
| Simple Moving Average (200) | — | — |
| Ichimoku Base Line (9, 26, 52, 26) | — | — |
| Volume Weighted Moving Average (20) | — | — |
| Hull Moving Average (9) | — | — |
| Pivot | Classic | Fibonacci | Camarilla | Woodie | DM |
|---|---|---|---|---|---|
| R3 | — | — | — | — | — |
| R2 | — | — | — | — | — |
| R1 | — | — | — | — | — |
| P | — | — | — | — | — |
| S1 | — | — | — | — | — |
| S2 | — | — | — | — | — |
| S3 | — | — | — | — | — |
This info isn't a recommendation for what you should personally do, so please don't take the data as investment advice. As with any trade, always look first, then leap. Read more in the Terms of Use.