DigiByte (DGB) Technical Analysis
Detailed technical analysis. See trends and overbought / oversold signals in a simple an efficient way. Indicators values for all time-frames offer you an excellent overview of the market.
DigiByte Technical Analysis
Current DGB / USDT |
0.01243 |
Stats | 1 Hour | 24 Hours | 7 Days | 30 Days |
Change % | -0.96% | -12.96% | -25.57% | 44.03% |
High | 0.01258 | 0.01438 | 0.01735 | 0.01786 |
Low | 0.01201 | 0.01201 | 0.01201 | 0.00850 |
Trend | 5 min | 15 min | 1 hour | 2 hour | 4 hour | 6 hour | 1 day |
Simple Moving Average (10) |
0.01230 1.10% ⋀ |
0.01246 -0.22% ⋁ |
0.01287 -3.38% ⋁ |
0.01324 -6.10% ⋁ |
0.01373 -9.47% ⋁ |
0.01411 -11.91% ⋁ |
0.01523 -18.39% ⋁ |
Exponential Moving Average (10) |
0.01236 0.55% ⋀ |
0.01245 -0.16% ⋁ |
0.01283 -3.10% ⋁ |
0.01321 -5.91% ⋁ |
0.01357 -8.40% ⋁ |
0.01390 -10.55% ⋁ |
0.01453 -14.43% ⋁ |
Simple Moving Average (20) |
0.01241 0.14% ⋀ |
0.01262 -1.54% ⋁ |
0.01322 -6.00% ⋁ |
0.01389 -10.52% ⋁ |
0.01455 -14.58% ⋁ |
0.01480 -16.01% ⋁ |
0.01488 -16.44% ⋁ |
Exponential Moving Average (20) |
0.01240 0.22% ⋀ |
0.01261 -1.40% ⋁ |
0.01320 -5.82% ⋁ |
0.01371 -9.35% ⋁ |
0.01423 -12.64% ⋁ |
0.01454 -14.50% ⋁ |
0.01420 -12.46% ⋁ |
Simple Moving Average (30) |
0.01245 -0.12% ⋁ |
0.01278 -2.74% ⋁ |
0.01361 -8.65% ⋁ |
0.01421 -12.51% ⋁ |
0.01489 -16.49% ⋁ |
0.01536 -19.06% ⋁ |
0.01352 -8.03% ⋁ |
Exponential Moving Average (30) |
0.01246 -0.24% ⋁ |
0.01274 -2.47% ⋁ |
0.01348 -7.79% ⋁ |
0.01406 -11.60% ⋁ |
0.01460 -14.85% ⋁ |
0.01480 -16.03% ⋁ |
0.01348 -7.80% ⋁ |
Simple Moving Average (50) |
0.01259 -1.27% ⋁ |
0.01308 -4.95% ⋁ |
0.01410 -11.83% ⋁ |
0.01475 -15.74% ⋁ |
0.01550 -19.81% ⋁ |
0.01532 -18.86% ⋁ |
0.01130 10.02% ⋀ |
Exponential Moving Average (50) |
0.01257 -1.13% ⋁ |
0.01297 -4.17% ⋁ |
0.01390 -10.58% ⋁ |
0.01452 -14.38% ⋁ |
0.01489 -16.52% ⋁ |
0.01481 -16.05% ⋁ |
0.01228 1.21% ⋀ |
Simple Moving Average (100) |
0.01282 -3.08% ⋁ |
0.01347 -7.69% ⋁ |
0.01475 -15.72% ⋁ |
0.01552 -19.91% ⋁ |
0.01514 -17.92% ⋁ |
0.01420 -12.48% ⋁ |
0.00995 24.95% ⋀ |
Exponential Moving Average (100) |
0.01280 -2.86% ⋁ |
0.01339 -7.16% ⋁ |
0.01455 -14.56% ⋁ |
0.01496 -16.90% ⋁ |
0.01453 -14.45% ⋁ |
0.01386 -10.34% ⋁ |
0.01061 17.13% ⋀ |
Simple Moving Average (200) |
0.01320 -5.84% ⋁ |
0.01412 -11.96% ⋁ |
0.01552 -19.90% ⋁ |
0.01515 -17.95% ⋁ |
0.01293 -3.88% ⋁ |
0.01121 10.85% ⋀ |
0.00852 45.85% ⋀ |
Exponential Moving Average (200) |
0.01314 -5.37% ⋁ |
0.01398 -11.07% ⋁ |
0.01493 -16.76% ⋁ |
0.01461 -14.93% ⋁ |
0.01298 -4.24% ⋁ |
0.01219 1.98% ⋀ |
0.00933 33.23% ⋀ |
Summary |
Up: 4
Down: 8
Neutral: 0
|
Up: 0
Down: 12
Neutral: 0
|
Up: 0
Down: 12
Neutral: 0
|
Up: 0
Down: 12
Neutral: 0
|
Up: 0
Down: 12
Neutral: 0
|
Up: 2
Down: 10
Neutral: 0
|
Up: 6
Down: 6
Neutral: 0
|
Overbought / Oversold | 5 min | 15 min | 1 hour | 2 hour | 4 hour | 6 hour | 1 day |
Relative Strength Index (14) | 49.47NE | 41.48NE | 28.69OS | 26.24OS | 30.15NE | 27.51OS | 42.94NE |
Stochastic K (14,3,3) | 67.79NE | 32.69NE | 23.79NE | 17.06OS | 14.24OS | 7.11OS | 32.27NE |
Commodity Channel Index (20) | 5.38NE | -67.64NE | -160.41OS | -150.36OS | -171.26OS | -210.79OS | -142.45OS |
Williams %R (14) | -26.32NE | -59.22NE | -76.92NE | -84.62OS | -88.62OS | -91.58OS | -92.82OS |
Bollinger Bands Upper / Lower (20,2,2) |
0.01275 0.01207NE |
0.01315 0.01210NE |
0.01410 0.01235NE |
0.01539 0.01239NE |
0.01684 0.01226NE |
0.01684 0.01276OS |
0.01739 0.01237NE |
Summary |
OB: 0
OS: 0
NE: 5
|
OB: 0
OS: 0
NE: 5
|
OB: 0
OS: 2
NE: 3
|
OB: 0
OS: 4
NE: 1
|
OB: 0
OS: 3
NE: 2
|
OB: 0
OS: 5
NE: 0
|
OB: 0
OS: 2
NE: 3
|
OB = Overbought, OS = Oversold, NE = Neutral
Price / technical analysis based on DGB / USDT Binance
Last update: Tue, 19 Mar 2024 09:36:27 UTC
The percentages means the price deviation from indicator level
See also DigiByte Futures Market Data: Open Interest, Funding Rate, Liquidations and Basis
Learn more about Technical Indicators on our blog
- Trend Trading – The Ultimate Guide
- What are Moving Averages in Crypto Trading and How to Use Them
- RSI (Relative Strength Index) and How to Use it in Trading
- What are Bollinger Bands and How to Utilize them for Cryptocurrency Trading
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