C I (Nigeria) Technical Analysis
| CILEASING | 6.95 0.30 4.51% |
C I Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CILEASING, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CILEASINGCILEASING |
What if' Analysis
Backtesting a what-if scenario on C I LEASING shows how the stock may have behaved if the position had been entered, held, or resized under different historical assumptions. Valuation should still be reviewed through market value, enterprise value, revenue scale, and balance-sheet quality. The point is not to predict the future from one chart, but to understand how sensitive the trade has been to timing and holding assumptions.
| 12/22/2025 |
| 03/22/2026 |
A 0.00 entry into C I on December 22, 2025 held to the present would realize 0.00 in overall gains. The outcome is a 0.0% return on investment in C I in aggregate over the 90 day interval.
C I Momentum Range Indicators Summary
C I upside and downside signals reflect how the stock price has behaved relative to recent trading ranges. The indicators track momentum balance across recent observation windows.
| Downside Deviation | 5.27 | |||
| Information Ratio | 0.0855 | |||
| Maximum Drawdown | 19.45 | |||
| Value At Risk | -7.05 | |||
| Potential Upside | 8.63 |
C I Market Risk Indicators Signals
Risk measures here provide context on C I's return distribution and drawdown behavior. Price and volume history from exchange records underpins the dataset.| Risk Adjusted Performance | 0.0601 | |||
| Jensen Alpha | 0.139 | |||
| Total Risk Alpha | 0.7907 | |||
| Sortino Ratio | 0.0693 | |||
| Treynor Ratio | -0.21 |
Experienced market participants anticipate that C I's price will even out over time. Periods when C I's deviates significantly from its historical mean may warrant further fundamental analysis. Experienced C I's investors use mean reversion as a complement to momentum analysis.
Analyzing C I in isolation is insufficient for informed investment decisions. This peer-relative view often uncovers mispricing that single-company analysis would miss. Sector peer analysis provides the reference frame to determine if C I's valuation is justified. 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 | 0.0601 | |||
| Market Risk Adjusted Performance | -0.20 | |||
| Mean Deviation | 2.9 | |||
| Semi Deviation | 3.35 | |||
| Downside Deviation | 5.27 | |||
| Coefficient Of Variation | 1543.52 | |||
| Standard Deviation | 4.27 | |||
| Variance | 18.26 | |||
| Information Ratio | 0.0855 | |||
| Jensen Alpha | 0.139 | |||
| Total Risk Alpha | 0.7907 | |||
| Sortino Ratio | 0.0693 | |||
| Treynor Ratio | -0.21 | |||
| Maximum Drawdown | 19.45 | |||
| Value At Risk | -7.05 | |||
| Potential Upside | 8.63 | |||
| Downside Variance | 27.76 | |||
| Semi Variance | 11.23 | |||
| Expected Short fall | -4.94 | |||
| Skewness | 0.1239 | |||
| Kurtosis | 0.4358 |
C I LEASING Backtested Returns
C I remains characterized by a moderate volatility within the selected investment span. It exhibits a Sharpe Ratio of 0.0648, capturing return dispersion relative to standard deviation. Algorithmic screening detected thirty volatility-sensitive metrics. Please review metrics such as Downside Deviation of 5.27, mean deviation of 2.9, and Coefficient Of Variation of 1543.52 to assess internal risk calibration. On a scale of 0 to 100, C I holds a performance score of 5. The company retains a beta of -1.3, which signifies elevated sensitivity to broad market movements. A strongly negative beta means C I acts as a natural hedge, gaining when the broader market declines.
Auto-correlation | -0.17 |
Insignificant reverse predictability
Serial correlation analysis for C I LEASING reveals insignificant reverse predictability across the intervals from 22nd of December 2025 to 5th of February 2026 and from 5th of February 2026 to 22nd of March 2026. The degree of alignment between past and current intervals shapes expectations about C I LEASING's price persistence. At -0.17, over 17.0% of current C I price movement aligns with historical price trajectory. Given that C I LEASING has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.17 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
This section evaluates C I through observed price and volume patterns. It captures historical price and volume behavior using available data.
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 C I LEASING volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of C I evaluates price structure, momentum, and volatility clustering. Oscillator extremes can precede mean reversion under certain regimes.
For C I LEASING, this section uses periodic company reporting and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist.
This content is curated and reviewed by:
Ellen Johnson - Member of Macroaxis Editorial BoardC I Technical Indicators
Investors following C I LEASING often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0601 | |||
| Market Risk Adjusted Performance | -0.20 | |||
| Mean Deviation | 2.9 | |||
| Semi Deviation | 3.35 | |||
| Downside Deviation | 5.27 | |||
| Coefficient Of Variation | 1543.52 | |||
| Standard Deviation | 4.27 | |||
| Variance | 18.26 | |||
| Information Ratio | 0.0855 | |||
| Jensen Alpha | 0.139 | |||
| Total Risk Alpha | 0.7907 | |||
| Sortino Ratio | 0.0693 | |||
| Treynor Ratio | -0.21 | |||
| Maximum Drawdown | 19.45 | |||
| Value At Risk | -7.05 | |||
| Potential Upside | 8.63 | |||
| Downside Variance | 27.76 | |||
| Semi Variance | 11.23 | |||
| Expected Short fall | -4.94 | |||
| Skewness | 0.1239 | |||
| Kurtosis | 0.4358 |
March 22, 2026 Daily Trend Indicators
Investors following C I LEASING often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| Accumulation Distribution | 0.06 | ||
| Daily Balance Of Power | 0.75 | ||
| Rate Of Daily Change | 1.05 | ||
| Day Median Price | 6.80 | ||
| Day Typical Price | 6.85 | ||
| Price Action Indicator | 0.30 | ||
| Market Facilitation Index | 0.40 |
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