Arrive AI Stock Technical Analysis
| ARAI Stock | 0.98 0.02 2.43% |
As of the 17th of March 2026, Arrive AI trades at 0.98 per share. Key technical indicators include Standard Deviation of 5.68, risk adjusted performance of -0.25, and Mean Deviation of 4.44. The technical model evaluates historical price movement, trading volume, and volatility patterns to quantify trend strength. With a price below $1.00, liquidity and volatility metrics receive additional emphasis. Current values are evaluated relative to sector peers and historical ranges.
Arrive AI Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Arrive, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ArriveArrive AI's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Arrive AI's market price can diverge from book value, the accounting figure shown on Arrive's balance sheet. Arrive AI's market capitalization is 34.61 M. At P/B 7.35, Arrive AI trades at a significant premium to book value. Enterprise value stands at 35.97 M. The intrinsic value concept focuses on underlying worth, which can diverge from market price and book value. Valuation work aligns these measures into a single context.
It is useful to distinguish Arrive AI's value from its trading price, which are computed with different methods. For Arrive AI, key inputs include a P/B ratio of 7.35, and ROE of -5.19%. In practice, Arrive AI price is set by the continuous auction process on its listing exchange.
What if' Analysis
Historical what-if analysis for Arrive AI is useful because it converts abstract timing questions into a structured review of past performance under changing entry and holding periods. This becomes more informative when investors use the backtest to challenge timing assumptions rather than to search for a perfect historical entry point.
| 12/17/2025 |
| 03/17/2026 |
An initial 0.00 allocation to Arrive AI on December 17, 2025 held through today would produce 0.00 in overall gains. The change equals a 0.0% net return in Arrive AI in aggregate over a 90 day window. Arrive AI competes with or is related to Stem, Sangoma Technologies, Airship AI, Expensify, Zepp Health, ZenaTech, and TROOPS. Peer context helps frame relative positioning. Arrive AI is an entity of United States traded as a Stock on the NASDAQ Exchange exchange. More
Upside and Downside Indicators for Arrive AI Signals
This section highlights upside and downside signals that contextualize Arrive AI price behavior. They compare current price to recent trend and sentiment readings.
| Information Ratio | -0.32 | |||
| Maximum Drawdown | 29.79 | |||
| Value At Risk | -11.85 | |||
| Potential Upside | 6.4 |
Market Risk Indicators for Arrive AI Dashboard
Risk measures here provide context on Arrive AI's return distribution and drawdown behavior. The signals are informational and describe volatility patterns.| Risk Adjusted Performance | -0.25 | |||
| Jensen Alpha | -1.74 | |||
| Total Risk Alpha | -1.63 | |||
| Treynor Ratio | -0.56 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Arrive AI's price to converge to an average value over time is called mean reversion.
Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.25 | |||
| Market Risk Adjusted Performance | -0.55 | |||
| Mean Deviation | 4.44 | |||
| Coefficient Of Variation | -313.47 | |||
| Standard Deviation | 5.68 | |||
| Variance | 32.25 | |||
| Information Ratio | -0.32 | |||
| Jensen Alpha | -1.74 | |||
| Total Risk Alpha | -1.63 | |||
| Treynor Ratio | -0.56 | |||
| Maximum Drawdown | 29.79 | |||
| Value At Risk | -11.85 | |||
| Potential Upside | 6.4 | |||
| Skewness | -0.69 | |||
| Kurtosis | 1.13 |
Arrive AI Backtested Returns
Arrive AI appears to exhibit an abnormally high volatility over the selected 3 months investment horizon. It exhibits a Sharpe Ratio (Efficiency) of -0.32, highlighting negative adjusted efficiency metrics. We identified twenty-three technical indicators influencing the company's volatility profile. Please review metrics such as standard deviation of 5.68, risk-adjusted performance of -0.25, and mean deviation of 4.44 to confirm whether our risk estimates align with your expectations. The company has a beta of 3.23, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Arrive AI will likely underperform. At this point, Arrive AI has a negative expected return of -1.8%. Please make sure to check Arrive AI's value at risk and the relationship between the kurtosis and market facilitation index, to decide if Arrive AI's performance from the past will be repeated at some future point.
Auto-correlation | 0.71 |
Good predictability
Arrive AI exhibits good predictability. Autocorrelation measures the degree of predictability between Arrive AI time series from 17th of December 2025 to 31st of January 2026 and from 31st of January 2026 to 17th of March 2026. Persistent correlation between intervals suggests underlying momentum patterns in Arrive AI that may carry forward. The measured coefficient of 0.71 means around 71.0% of Arrive AI's recent price variance traces back to prior period behavior.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Technical analysis for Arrive AI examines price and volume behavior across market regimes. The model references moving averages, relative strength, and price correlation signals.
Technical Analysis
This analysis covers twenty-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 Arrive AI volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Arrive AI evaluates price structure, momentum, and volatility clustering. Trend persistence provides context for directional stability. Market-sensitive characteristics may increase exposure to broader economic cycles. Arrive AI has a market cap of 34.61 M, ROE of -5.19%.
Unless otherwise specified, data for Arrive AI is compiled from periodic company reporting and market reference feeds and standardized for comparability. Updates may occur throughout the day.
This content is curated and reviewed by:
Ellen Johnson - Member of Macroaxis Editorial BoardArrive AI Technical Indicators
Technical analysis of Arrive AI is useful because it helps investors judge whether the current trend still looks durable or is beginning to weaken. A disciplined technical workflow helps investors separate stronger setups from noisier price action.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.25 | |||
| Market Risk Adjusted Performance | -0.55 | |||
| Mean Deviation | 4.44 | |||
| Coefficient Of Variation | -313.47 | |||
| Standard Deviation | 5.68 | |||
| Variance | 32.25 | |||
| Information Ratio | -0.32 | |||
| Jensen Alpha | -1.74 | |||
| Total Risk Alpha | -1.63 | |||
| Treynor Ratio | -0.56 | |||
| Maximum Drawdown | 29.79 | |||
| Value At Risk | -11.85 | |||
| Potential Upside | 6.4 | |||
| Skewness | -0.69 | |||
| Kurtosis | 1.13 |
March 17, 2026 Daily Trend Indicators
Technical analysis of Arrive AI is useful because it helps investors judge whether the current trend still looks durable or is beginning to weaken. A disciplined technical workflow helps investors separate stronger setups from noisier price action.
| Accumulation Distribution | 0.02 | ||
| Daily Balance Of Power | 1.16 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 0.97 | ||
| Day Typical Price | 0.97 | ||
| Price Action Indicator | 0.02 | ||
| Market Facilitation Index | 0.02 |
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