Litecoin Technical Analysis
| LTC Crypto | USD 54.78 -1.41 -2.51% |
As of the 23rd of March, the last recorded price for Litecoin is 54.78 per share. Primary technical drivers reflect Standard Deviation of 3.82, mean deviation of 2.55, and Risk Adjusted Performance of -0.09. Quantitative analysis incorporates volatility metrics and price behavior to assess directional bias. Metrics are compared to industry averages to assess relative positioning.
Litecoin Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Litecoin, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LitecoinLitecoin |
What if' Analysis
Backtesting a what-if scenario on Litecoin shows how the crypto asset may have behaved if the position had been entered, held, or resized under different historical assumptions. Used properly, this review provides context for deciding whether Litecoin's historical reward profile was stable enough to support the current thesis.
| 12/23/2025 |
| 03/23/2026 |
Placing 0.00 into Litecoin on December 23, 2025 with a hold through today would realize 0.00 in overall gains. In total, that is a 0.0% cumulative return in Litecoin in aggregate across 90 days. Values are based on observed price behavior across time frames. Comparable crypto asset peers for Litecoin include Staked Ether, Wrapped Bitcoin, Monero, Tether, Chainlink, USD Coin, and FTX Token. Litecoin is peer-to-peer digital currency powered by the Blockchain technology.
Momentum Range Indicators for Litecoin Summary
This section highlights upside and downside signals that contextualize Litecoin price behavior. Price and volume history from exchange records underpins the dataset.
| Information Ratio | -0.09 | |||
| Maximum Drawdown | 18.2 | |||
| Value At Risk | -6.76 | |||
| Potential Upside | 4.74 |
Market Risk Indicators for Litecoin Signals
Volatility and risk indicators for Litecoin describe how returns have dispersed over time. The measures summarize variability without implying direction.| Risk Adjusted Performance | -0.09 | |||
| Jensen Alpha | -0.47 | |||
| Total Risk Alpha | 0.0079 | |||
| Treynor Ratio | 9.65 |
Experienced investors tracking Litecoin's watch for mean reversion setups where price has deviated from its long-run average. Sentiment extremes, news events, or liquidity shocks are common catalysts for these temporary dislocations in Litecoin. Prices periodically overshoot their intrinsic value in both directions, creating mean reversion opportunities in Litecoin. The mean reversion signal is most useful when combined with fundamental confirmation for Litecoin's.
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 | -0.09 | |||
| Market Risk Adjusted Performance | 9.66 | |||
| Mean Deviation | 2.55 | |||
| Coefficient Of Variation | -848.19 | |||
| Standard Deviation | 3.82 | |||
| Variance | 14.6 | |||
| Information Ratio | -0.09 | |||
| Jensen Alpha | -0.47 | |||
| Total Risk Alpha | 0.0079 | |||
| Treynor Ratio | 9.65 | |||
| Maximum Drawdown | 18.2 | |||
| Value At Risk | -6.76 | |||
| Potential Upside | 4.74 | |||
| Skewness | -0.42 | |||
| Kurtosis | 2.97 |
Litecoin Backtested Returns
Over the selected 3 months, Litecoin demonstrates a heightened volatility. It records an Efficiency (Sharpe) Ratio of -0.11, indicating negative risk-adjusted returns over the last 3 months. Volatility modeling revealed twenty-four technical measures impacting risk exposure. Please analyze metrics such as standard deviation of 3.82, mean deviation of 2.55, and risk-adjusted performance of -0.09 to assess dispersion and downside exposure. The crypto secures a Beta of -0.0477, which signifies very low measured sensitivity to broad market movements. the mildly negative beta suggests Litecoin provides a partial hedge against market-wide declines.
Auto-correlation | -0.34 |
Poor reverse predictability
The autocorrelation profile for Litecoin registers poor reverse predictability between the two measured intervals. When lagged price patterns show consistency, they can serve as a partial input for modeling Litecoin's near-term price behavior. A serial correlation of -0.34 indicates that nearly 34.0% of current Litecoin price fluctuations can be explained by its historical price movements. Given that Litecoin has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 1.92 |
This section evaluates Litecoin through observed price and volume patterns. Indicators include moving averages, RSI, and price correlation measures.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. 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 Litecoin volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Litecoin evaluates venue price structure, momentum, and volatility clustering in fragmented markets. Volume and liquidity conditions influence signal reliability. Reduced trading volume may increase short-term pricing variability.
For Litecoin, this section uses public market feeds and reference sources with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist.
This content is curated and reviewed by:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial BoardLitecoin Technical Indicators
Technical analysis of Litecoin is useful because it frames whether the current trend still looks durable or is beginning to weaken. 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 | -0.09 | |||
| Market Risk Adjusted Performance | 9.66 | |||
| Mean Deviation | 2.55 | |||
| Coefficient Of Variation | -848.19 | |||
| Standard Deviation | 3.82 | |||
| Variance | 14.6 | |||
| Information Ratio | -0.09 | |||
| Jensen Alpha | -0.47 | |||
| Total Risk Alpha | 0.0079 | |||
| Treynor Ratio | 9.65 | |||
| Maximum Drawdown | 18.2 | |||
| Value At Risk | -6.76 | |||
| Potential Upside | 4.74 | |||
| Skewness | -0.42 | |||
| Kurtosis | 2.97 |
March 23, 2026 Daily Trend Indicators
Technical analysis of Litecoin is useful because it frames whether the current trend still looks durable or is beginning to weaken. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.04 | ||
| Daily Balance Of Power | -0.66 | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 55.52 | ||
| Day Typical Price | 55.27 | ||
| Price Action Indicator | -1.45 | ||
| Market Facilitation Index | 2.14 |
More Resources for Litecoin Crypto Coin Analysis
A clear view of Litecoin comes from reviewing its financial structure and trends.Litecoin has a market cap of 4.79 B. Use Correlation Analysis to explore allocation context. The allocation includes a position in Litecoin. It is distributed 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. Litecoin currently shows market cap of 4.79 Billion. Litecoin analysis should be paired with portfolio risk and diversification tools before adjusting allocations. Within the Blockchain space, Litecoin peer comparison and risk tools below help frame relative strengths and weaknesses. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.