Azure Power Global Stock Technical Analysis
| AZREF Stock | 1.00 0.00 0.00% |
Azure Power Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Azure, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AzureAzure |
Azure Power 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Azure Power's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Azure Power.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Azure Power on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Azure Power Global or generate 0.0% return on investment in Azure Power over 90 days.
Azure Power Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Azure Power's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Azure Power Global upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1521 | |||
| Maximum Drawdown | 375.0 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 40.0 |
Azure Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Azure Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Azure Power's standard deviation. In reality, there are many statistical measures that can use Azure Power historical prices to predict the future Azure Power's volatility.| Risk Adjusted Performance | 0.1336 | |||
| Jensen Alpha | 9.62 | |||
| Total Risk Alpha | 3.36 | |||
| Treynor Ratio | (4.62) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Azure Power's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Azure Power February 9, 2026 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 | 0.1336 | |||
| Market Risk Adjusted Performance | (4.61) | |||
| Mean Deviation | 25.32 | |||
| Coefficient Of Variation | 651.15 | |||
| Standard Deviation | 61.66 | |||
| Variance | 3802.15 | |||
| Information Ratio | 0.1521 | |||
| Jensen Alpha | 9.62 | |||
| Total Risk Alpha | 3.36 | |||
| Treynor Ratio | (4.62) | |||
| Maximum Drawdown | 375.0 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 40.0 | |||
| Skewness | 3.96 | |||
| Kurtosis | 16.59 |
Azure Power Global Backtested Returns
Azure Power is out of control given 3 months investment horizon. Azure Power Global secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16 % return per unit of risk over the last 3 months. We were able to analyze and collect data for eighteen different technical indicators, which can help you to evaluate if expected returns of 10.25% are justified by taking the suggested risk. Use Azure Power Risk Adjusted Performance of 0.1336, standard deviation of 61.66, and Mean Deviation of 25.32 to evaluate company specific risk that cannot be diversified away. Azure Power holds a performance score of 12 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -2.05, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Azure Power are expected to decrease by larger amounts. On the other hand, during market turmoil, Azure Power is expected to outperform it. Use Azure Power jensen alpha, skewness, as well as the relationship between the Skewness and day typical price , to analyze future returns on Azure Power.
Auto-correlation | -0.07 |
Very weak reverse predictability
Azure Power Global has very weak reverse predictability. Overlapping area represents the amount of predictability between Azure Power time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Azure Power Global price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Azure Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Azure Power technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.
Azure Power Global Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Azure Power Global volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Azure Power February 9, 2026 Technical Indicators
Most technical analysis of Azure help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Azure from various momentum indicators to cycle indicators. When you analyze Azure charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1336 | |||
| Market Risk Adjusted Performance | (4.61) | |||
| Mean Deviation | 25.32 | |||
| Coefficient Of Variation | 651.15 | |||
| Standard Deviation | 61.66 | |||
| Variance | 3802.15 | |||
| Information Ratio | 0.1521 | |||
| Jensen Alpha | 9.62 | |||
| Total Risk Alpha | 3.36 | |||
| Treynor Ratio | (4.62) | |||
| Maximum Drawdown | 375.0 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 40.0 | |||
| Skewness | 3.96 | |||
| Kurtosis | 16.59 |
Azure Power February 9, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Azure stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 1.00 | ||
| Day Typical Price | 1.00 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Azure Pink Sheet analysis
When running Azure Power's price analysis, check to measure Azure Power's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Azure Power is operating at the current time. Most of Azure Power's value examination focuses on studying past and present price action to predict the probability of Azure Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Azure Power's price. Additionally, you may evaluate how the addition of Azure Power to your portfolios can decrease your overall portfolio volatility.
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios |