Avalanche Technical Analysis
| AVAX Crypto | USD 9.54 0.01 0.10% |
As of the 11th of March 2026, the last recorded price for Avalanche is 9.54 per share. Primary technical drivers reflect mean deviation of 3.38, and Risk Adjusted Performance of -0.07. Quantitative analysis incorporates volatility metrics and price behavior to assess directional bias. Metrics are compared to industry averages to assess relative positioning.
Avalanche Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Avalanche, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AvalancheAvalanche |
Avalanche 'What if' Analysis
Running a what-if backtest on Avalanche gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Avalanche's historical reward profile was stable enough to support the current thesis.
| 12/11/2025 |
| 03/11/2026 |
If you invested 0.00 in Avalanche on December 11, 2025 and closed the position today, you would earn 0.00 in aggregate gains. The change equals a 0.0% return on investment in Avalanche on balance over a 90 day window.. Avalanche is related to or competes with Staked Ether, Wrapped Bitcoin, Monero, Tether, Chainlink, USD Coin, and FTX Token. Peer context can support comparative analysis. Avalanche is peer-to-peer digital currency powered by the Blockchain technology.
Avalanche Upside and Downside Indicators Signals
Upside and downside indicators for Avalanche summarize momentum balance and potential range context for the crypto asset. The signals are presented as informational context for recent price movement.
| Information Ratio | -0.11 | |||
| Maximum Drawdown | 24.68 | |||
| Value At Risk | -8.54 | |||
| Potential Upside | 7.43 |
Avalanche Market Risk Indicators Signals
Market risk indicators summarize volatility and return dispersion for Avalanche. This view provides neutral context for risk and variability.| Risk Adjusted Performance | -0.07 | |||
| Jensen Alpha | -0.53 | |||
| Total Risk Alpha | -0.45 | |||
| Treynor Ratio | 6.48 |
The concept of mean reversion suggests that Avalanche's price will eventually return toward its long-run average. High prices may deter value investors, while unusually low prices often attract buyers who anticipate a recovery.
Avalanche Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.07 | |||
| Market Risk Adjusted Performance | 6.49 | |||
| Mean Deviation | 3.38 | |||
| Coefficient Of Variation | -937.90 | |||
| Standard Deviation | 4.91 | |||
| Variance | 24.13 | |||
| Information Ratio | -0.11 | |||
| Jensen Alpha | -0.53 | |||
| Total Risk Alpha | -0.45 | |||
| Treynor Ratio | 6.48 | |||
| Maximum Drawdown | 24.68 | |||
| Value At Risk | -8.54 | |||
| Potential Upside | 7.43 | |||
| Skewness | 0.2879 | |||
| Kurtosis | 1.88 |
Avalanche Backtested Returns
Over the selected 3 months, Avalanche demonstrates a very high risk exposure. It has a Sharpe Ratio of -0.0766, which indicates that -0.0766 units of return per unit of risk over the last 3 months. We identified twenty-three technical indicators supporting this volatility profile. Please analyze metrics such as mean deviation of 3.38, and risk-adjusted performance of -0.07 to assess dispersion and downside exposure. The crypto owns a Beta (Systematic Risk) of -0.0824, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on Avalanche tend to move in the opposite direction, though by a smaller magnitude. During a bear market, however, Avalanche is likely to outperform the market.
Auto-correlation | -0.14 |
Insignificant reverse predictability
Avalanche exhibits insignificant reverse predictability. Autocorrelation measures the degree of predictability between Avalanche time series from 11th of December 2025 to 25th of January 2026 and from 25th of January 2026 to 11th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Avalanche may be projected. A serial correlation of -0.14 indicates that less than 14.0% of current Avalanche price fluctuations can be explained by its historical price movements. Given that Avalanche has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.14 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.79 |
Avalanche technical crypto coin analysis uses price and volume transformations to study behavior. The model references moving averages, relative strength, and price correlation signals.
Avalanche Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Avalanche volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Avalanche Technical Analysis
Technical analysis of Avalanche evaluates venue price structure, momentum, and volatility clustering in fragmented markets. Volume and liquidity conditions influence signal reliability. Lower liquidity may increase execution variability.
Unless otherwise specified, financial data for Avalanche is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Updates may occur throughout the day.
Avalanche Technical Indicators
A technical review of Avalanche can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.07 | |||
| Market Risk Adjusted Performance | 6.49 | |||
| Mean Deviation | 3.38 | |||
| Coefficient Of Variation | -937.90 | |||
| Standard Deviation | 4.91 | |||
| Variance | 24.13 | |||
| Information Ratio | -0.11 | |||
| Jensen Alpha | -0.53 | |||
| Total Risk Alpha | -0.45 | |||
| Treynor Ratio | 6.48 | |||
| Maximum Drawdown | 24.68 | |||
| Value At Risk | -8.54 | |||
| Potential Upside | 7.43 | |||
| Skewness | 0.2879 | |||
| Kurtosis | 1.88 |
Avalanche March 11, 2026 Daily Trend Indicators
A technical review of Avalanche can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 225.47 | ||
| Daily Balance Of Power | 0.33 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 9.54 | ||
| Day Typical Price | 9.54 | ||
| Price Action Indicator | 0.01 |
More Resources for Avalanche Crypto Coin Analysis
A structured review of Avalanche often starts with core financial statements and trend context. Financial ratios provide context for profitability, efficiency, and growth trends.Avalanche has market cap of 2.43 B. Use Trending Equities to explore allocation context. This includes a position in Avalanche across the allocation. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in inflation. Analysis related to Avalanche should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.