DOGE USDT Technical Analysis
0.08251000$
-6.36%
(24h)
Data as of
15m
1h
4h
1D
1W
Oscillators
Summary:
Neutral
Sell:
0
Neutral:
8
Buy:
1
| Oscillator | Trend | Parameter |
|---|---|---|
|
RSI (9)
RSI (9) – Relative Strength Index with a 9-candle period. Used to identify short-term overbought and oversold conditions, as well as early reversal signals over the last 9 candles.
Close
|
Neutral
|
53.8
30
70
|
|
RSI (14)
RSI (14) – Relative Strength Index with a 14-candle period. This is the standard period for RSI, used by most traders to identify medium-term overbought and oversold conditions, as well as potential reversal signals over the last 14 candles.
Close
|
Neutral
|
52.02
30
70
|
|
RSI (25)
RSI (25) – Relative Strength Index with a 25-candle period. Used to identify long-term overbought and oversold conditions, as well as potential reversal signals over the last 25 candles. Well-suited for analyzing sustained trends and filtering out false short-term signals.
Close
|
Neutral
|
48.64
30
70
|
|
ADX (14)
ADX (14) – Average Directional Index with a standard period of 14 candles. Measures trend strength, not its direction. Values above 40 indicate a strong trend, between 40 and 20 indicate a weak trend, and below 20 indicate no trend. Calculations are based on the last 14 candles.
Close
|
Rising
|
21.7
20
40
|
|
STOCH (%K)(5,3,3)
STOCH (%K) (5,3,3) – a stochastic oscillator with 5,3,3 settings. It shows the current price’s position relative to the price range over the selected period. It is used to identify overbought and oversold conditions, as well as potential trend reversal points. The values (5,3,3) denote the parameters: 5 – the %K calculation period, 3 – the %K smoothing period (the %D line), and 3 – the %D smoothing period.
Close
|
Neutral
|
63.51
20
80
|
|
MFI (14)
Money Flow Index (14) – a money flow index with a 14-period setting. It combines price and volume to assess the strength of capital inflows and outflows over the last 14 candles. It helps identify divergences and shows how actively money is “flowing into” (above 80 – overbought) or “flowing out of” (below 20 – oversold) the asset.
Close
|
Neutral
|
58.71
20
80
|
|
CCI (20)
CCI (20) – Commodity Channel Index with a 20-candle period. It measures the strength of price movement and the deviation of the price from the average value over the last 20 candles. It is used to identify overbought and oversold conditions, as well as potential trend reversal points. The -100 and +100 levels serve as key zones for signaling these conditions.
Close
|
Neutral
|
50.96
-100
100
|
|
Chaikin
money flow (20)
Chaikin Money Flow (20) – Chaikin Money Flow indicator with a 20-candle period. Shows the ratio of buying volume to selling volume. It is used to confirm trend strength and identify accumulation (buying) or distribution (selling) over the last 20 candles (typically days). It ranges from -1 to 1, where positive values indicate an inflow of money and negative values indicate an outflow.
Close
|
Buy
|
0.03
0
|
|
Williams %R (14)
Williams %R (14) – Williams’ %R indicator with a 14-candle period. Shows the current price’s position relative to the highest and lowest over a period of 14 candles. Used to identify overbought and oversold conditions, as well as potential reversal points and entry/exit points for trades.
Close
|
Neutral
|
-24.03
-80
-20
|
|
UO (7,14,28)
Ultimate Oscillator UO (7,14,28) – a composite oscillator with periods of 7, 14, and 28 candles. It combines short-term, medium-term, and long-term momentum for a more accurate assessment of the strength of the trend. It is used to identify divergences and confirm reversals. It is calculated across three time intervals simultaneously.
Close
|
Neutral
|
60.46
43
73
|
|
Squeeze
momentum indicator
Squeeze Momentum Indicator – a volatility and momentum squeeze indicator. It identifies moments when the market is in a phase of low volatility, which is often followed by major market movement. It is used to identify the start of momentum trends and breakout points.
Close
|
No Squeeze | - |
Moving Averages
Summary:
Neutral
Sell:
7
Neutral:
0
Buy:
5
| 20 | 50 | 100 | 200 | |
|---|---|---|---|---|
sma
SMA – Simple Moving Average. Calculates the average price over a selected period. Used to determine trend direction, support and resistance levels, and to filter out market noise. Calculated as the average price over a specified number of candles.
Close
|
Growth | Drop | Drop | Drop |
ema
EMA – Exponential Moving Average. Shows the average price of an asset over a specific period, giving greater weight to recent price data, which makes it more sensitive to recent changes and better reflects the current trend than SMA does. It helps smooth out price fluctuations, identify market direction (bullish or bearish), and determine potential support and resistance levels.
Close
|
Growth | Drop | Drop | Drop |
hma
HMA – Hull Moving Average. A fast and smooth indicator designed to minimize the lag of traditional moving averages (SMA, EMA). It is used to more accurately and timely determine the trend direction and possible price reversal points. It is calculated based on a combination of weighted moving averages and special smoothing, which allows it to remain sensitive to market changes without an excessive number of false signals.
Close
|
Drop | Growth | Growth | Growth |
Pivot Points
| Points | Parameter |
|---|---|
| r3 | 0.08421333 |
| r2 | 0.08367666 |
| r1 | 0.08309333 |
| p | 0.08255666 |
| s1 | 0.08197333 |
| s2 | 0.08143666 |
| s3 | 0.08085333 |
In addition to DOGE’s technical analysis, pay special attention to the following metrics:
- Elon Musk’s influence and the DOGE brand. Elon Musk remains Dogecoin’s most influential public supporter. His posts on X (formerly Twitter) have historically triggered price spikes of 10–30%. But there is a risk: dependence on a single person makes the price fragile—if Musk loses interest, a powerful price driver will be gone.
- DOGE ETFs. In September 2025, a spot Dogecoin ETF launched in the U.S.—the world’s first memecoin ETF. By 2026, the number of Dogecoin ETFs have grown. Inflows into ETFs are a positive factor for the Doge price; outflows are negative. However, it is the dynamics of these flows that are key, not one-off movements. The very fact of the ETFs launch opened up access to Dogecoin for institutional investors.
- Unlimited supply. Dogecoin has no supply cap. The influx of new coins dilutes the value of DOGE and drives down the price.
- Whales. The top 100 wallets control about 65–68% of the total DOGE supply. Such a high concentration of coins among a small number of holders means that their actions can directly influence the coin’s price. If whales sell a large volume of DOGE, the price may fall. If they buy, it may rise.
- Network hashrate and merged mining with Litecoin. Since 2014, Dogecoin has merged mining with Litecoin—miners simultaneously mine LTC and DOGE without additional energy costs. This ensures network security without the need for an independent hashrate. The higher the hashrate, the more expensive a potential 51% attack becomes and the more secure the network is. But this also means that DOGE’s security depends on Litecoin.
- Active addresses and network usage. The number of daily active DOGE addresses ranges from 50,000 to 120,000 depending on the market phase. During periods of hype, the figure approaches the upper limit, and during lulls, it falls toward the lower limit. If the number of active addresses is growing while the price remains stable, this is a sign of accumulation (the price is rising). If the price rises while the number of active addresses is falling, we are dealing with growth without fundamental support.
- Business adoption and real-world use. DOGE ranks among the top 5 cryptocurrencies in terms of adoption in real-world business. For example, Tesla began accepting DOGE as payment for merchandise in 2022, after which a number of other companies followed suit. However, DOGE is more commonly used for microtransactions, tips, and small purchases. New adoption developments can create fundamental demand in the long term and contribute to a sharp price increase in the short term.
- Correlation with Bitcoin and the market phase. DOGE has historically shown a high correlation (0.7–0.85) with Bitcoin. Thus, when BTC rises by 10%, DOGE can rise by 20–40%, and fall just as sharply when BTC drops. During periods of so-called “alt season,” when capital actively flows from Bitcoin into altcoins, the price of DOGE can rise by tens of percent in a short period of time.
- Regulatory environment and status with the SEC. By a joint decision of the SEC and CFTC, DOGE has been recognized as a “commodity” in the U.S. market, which potentially simplifies its listing on exchanges and paves the way for its own ETF. However, like all memecoins, DOGE is highly sensitive to changes in its legal status.