Alpha Cognition Stock Technical Analysis
| ACOG Stock | 6.00 0.34 5.36% |
As of the 28th of February, Alpha Cognition shows the Mean Deviation of 3.79, risk adjusted performance of 0.0372, and Downside Deviation of 4.88. Alpha Cognition technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Alpha Cognition maximum drawdown, and the relationship between the information ratio and downside variance to decide if Alpha Cognition is priced correctly, providing market reflects its regular price of 6.0 per share. Given that Alpha Cognition has jensen alpha of 0.0454, we suggest you to validate Alpha Cognition's prevailing market performance to make sure the company can sustain itself at a future point.
Alpha Cognition Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Alpha, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AlphaAlpha Cognition'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.Alpha Cognition Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 20.0 | Buy | 1 | Odds |
Most Alpha analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Alpha stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Alpha Cognition, talking to its executives and customers, or listening to Alpha conference calls.
Can Biotechnology industry sustain growth momentum? Does Alpha have expansion opportunities? Factors like these will boost the valuation of Alpha Cognition. If investors know Alpha will grow in the future, the company's valuation will be higher. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Alpha Cognition demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Investors evaluate Alpha Cognition using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Alpha Cognition's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Alpha Cognition's market price to deviate significantly from intrinsic value.
Understanding that Alpha Cognition's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Alpha Cognition represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, Alpha Cognition's market price signifies the transaction level at which participants voluntarily complete trades.
Alpha Cognition '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 Alpha Cognition's stock 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 Alpha Cognition.
| 11/30/2025 |
| 02/28/2026 |
If you would invest 0.00 in Alpha Cognition on November 30, 2025 and sell it all today you would earn a total of 0.00 from holding Alpha Cognition or generate 0.0% return on investment in Alpha Cognition over 90 days. Alpha Cognition is related to or competes with DT Cloud, CO2 Energy, Prairie Operating, Scully Royalty, ChampionsGate Acquisition, First Guaranty, and Cayson Acquisition. Alpha Cognition is entity of United States More
Alpha Cognition 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 Alpha Cognition's stock 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 Alpha Cognition upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.88 | |||
| Information Ratio | 0.0198 | |||
| Maximum Drawdown | 21.26 | |||
| Value At Risk | (7.96) | |||
| Potential Upside | 9.64 |
Alpha Cognition Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpha Cognition's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpha Cognition's standard deviation. In reality, there are many statistical measures that can use Alpha Cognition historical prices to predict the future Alpha Cognition's volatility.| Risk Adjusted Performance | 0.0372 | |||
| Jensen Alpha | 0.0454 | |||
| Total Risk Alpha | (0.35) | |||
| Sortino Ratio | 0.0207 | |||
| Treynor Ratio | 0.1067 |
Alpha Cognition February 28, 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 | 0.0372 | |||
| Market Risk Adjusted Performance | 0.1167 | |||
| Mean Deviation | 3.79 | |||
| Semi Deviation | 4.37 | |||
| Downside Deviation | 4.88 | |||
| Coefficient Of Variation | 2666.8 | |||
| Standard Deviation | 5.09 | |||
| Variance | 25.92 | |||
| Information Ratio | 0.0198 | |||
| Jensen Alpha | 0.0454 | |||
| Total Risk Alpha | (0.35) | |||
| Sortino Ratio | 0.0207 | |||
| Treynor Ratio | 0.1067 | |||
| Maximum Drawdown | 21.26 | |||
| Value At Risk | (7.96) | |||
| Potential Upside | 9.64 | |||
| Downside Variance | 23.79 | |||
| Semi Variance | 19.1 | |||
| Expected Short fall | (4.23) | |||
| Skewness | 0.3315 | |||
| Kurtosis | 0.1289 |
Alpha Cognition Backtested Returns
Alpha Cognition appears to be slightly risky, given 3 months investment horizon. Alpha Cognition secures Sharpe Ratio (or Efficiency) of 0.0443, which signifies that the company had a 0.0443 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Alpha Cognition, which you can use to evaluate the volatility of the firm. Please makes use of Alpha Cognition's Risk Adjusted Performance of 0.0372, downside deviation of 4.88, and Mean Deviation of 3.79 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Alpha Cognition holds a performance score of 3. The firm shows a Beta (market volatility) of 1.7, which signifies 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, Alpha Cognition will likely underperform. Please check Alpha Cognition's total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to make a quick decision on whether Alpha Cognition's price patterns will revert.
Auto-correlation | 0.25 |
Poor predictability
Alpha Cognition has poor predictability. Overlapping area represents the amount of predictability between Alpha Cognition time series from 30th of November 2025 to 14th of January 2026 and 14th of January 2026 to 28th 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 Alpha Cognition price movement. The serial correlation of 0.25 indicates that over 25.0% of current Alpha Cognition price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
Alpha Cognition technical stock 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, stock market cycles, or different charting patterns.
Alpha Cognition Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Alpha Cognition across different markets.
About Alpha Cognition Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Alpha Cognition on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Alpha Cognition based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Alpha Cognition price pattern first instead of the macroeconomic environment surrounding Alpha Cognition. By analyzing Alpha Cognition's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Alpha Cognition's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Alpha Cognition specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Net Debt To EBITDA | 0.0201 | 3.31 | 2.98 | 3.13 | Intangibles To Total Assets | 0.22 | 0.008139 | 0.007325 | 0.006959 |
Alpha Cognition February 28, 2026 Technical Indicators
Most technical analysis of Alpha 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 Alpha from various momentum indicators to cycle indicators. When you analyze Alpha 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 | 0.0372 | |||
| Market Risk Adjusted Performance | 0.1167 | |||
| Mean Deviation | 3.79 | |||
| Semi Deviation | 4.37 | |||
| Downside Deviation | 4.88 | |||
| Coefficient Of Variation | 2666.8 | |||
| Standard Deviation | 5.09 | |||
| Variance | 25.92 | |||
| Information Ratio | 0.0198 | |||
| Jensen Alpha | 0.0454 | |||
| Total Risk Alpha | (0.35) | |||
| Sortino Ratio | 0.0207 | |||
| Treynor Ratio | 0.1067 | |||
| Maximum Drawdown | 21.26 | |||
| Value At Risk | (7.96) | |||
| Potential Upside | 9.64 | |||
| Downside Variance | 23.79 | |||
| Semi Variance | 19.1 | |||
| Expected Short fall | (4.23) | |||
| Skewness | 0.3315 | |||
| Kurtosis | 0.1289 |
Alpha Cognition February 28, 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 Alpha 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 | 2,890 | ||
| Daily Balance Of Power | (1.06) | ||
| Rate Of Daily Change | 0.95 | ||
| Day Median Price | 6.10 | ||
| Day Typical Price | 6.07 | ||
| Price Action Indicator | (0.27) |
Complementary Tools for Alpha Stock analysis
When running Alpha Cognition's price analysis, check to measure Alpha Cognition'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 Alpha Cognition is operating at the current time. Most of Alpha Cognition's value examination focuses on studying past and present price action to predict the probability of Alpha Cognition's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alpha Cognition's price. Additionally, you may evaluate how the addition of Alpha Cognition to your portfolios can decrease your overall portfolio volatility.
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