Deshe Analysis covers and ranks more than 42,000 public companies from all global markets. Our coverage threshold is a $10MM market cap on the latest financial statement publish date.

Yes.

For most stocks, Deshe's analysis is published within 12-48 hours from the financial statement's publication and release. There are 2 typical exceptions:

1. Our AI requires a minimum threshold of data ( companies' reports) to compare within the relevant peer group. That threshold is approximately 2% of the expected dataset. Therefore, during the 1st & 2nd week of 'reporting season' (where new reports are just starting to be published), the  availability of updated reports for specific companies may be delayed until that Big Data threshold is met.

2. In rare cases, the AI identified extreme and abnormal deviations from the previous report analysis & peers' reporting data/behavior. In this case, we may postpone the update in order for Deshe's QA (Quality Assurance) team to review the data and confirm that everything is accurate.

Generally, no. However, anything can potentially be added as part of an enterprise deal.

Deshe pulls market and stock data twice a day.

Yes. Deshe Analytics will be releasing daily reports on FX, ETFs, Bonds, Crypto, and Commodities.

There are several types of data with different frequencies for updating:

1. Fundamental Data: This data is collected and updated quarterly, semi-annually, or annually, depending on when the company's reporting requirements. In most cases, the fundamental data and analysis will not change dramatically until the next company's financial statements. 

2. Stock Price & TA: Technical Analysis and stock price-based metrics (MACD, RSI, STOCH, 50-day, 200-day, etc) change daily. This data is received and integrated twice a day. Deshe Analytics reports & API generally do not provide this data intraday.

3. News & Events: New data is received and integrated twice a day.

Based on the daily data feeds related to market volatility, the company & benchmark-specific updates, and stock price fluctuations, Deshe's AI measures the accuracy of our assessments and updates the algorithms and rankings accordingly.

Yes, in the AI/NLG-generated explanation paragraphs the weighting of both individual parameters and sections (i.e balance sheet weight, revenue momentum weight, etc.) are highlighted when they are significant.

If there is a particular parameter weight that a client wants to see and get clarity on, they can email support@deshe.ai. 

Deshe relies on the GICS (Global Industry Classification Standard) for sector and industry categorization. Deshe's default categorization of peers relies on grouping stocks from the same industry and exchange.

In addition, our methodology splits companies into two different market capitalization groups - companies larger than $300MM and companies smaller than $300M.

Deshe Reports are currently available in English, Hebrew, Japanese, Simplified Chinese, Korean, Arabic, Spanish, Portuguese, German, Italian, Dutch, French, and Turkish.

As a new language is required by our clients, it will go into production. Each new language takes approximately 4-6 weeks until beta release.

Deshe has developed a unique NLG (Natural Language Generation) process. Deshe’s NLG is a multi-step process designed to produce content with natural-sounding speech/text.

In general, there are six primary components of Deshe’s NLG automated writing process:

1. Content Analysis: This stage identifies the major themes of the source document and the relationships between them. Here, the data is analyzed and filtered to determine what exactly should be included in the content produced at the end of the process.

2. Understanding the Data: Machine learning is often used in this phase. The data is interpreted, patterns are identified, and they are placed into context.

3. Document Structuring: The narrative structure is chosen based on the type of conclusion needed.

4. Sentence Aggregation: Relevant sentences or fragments of sentences are combined to accurately summarize the topic.

5. Grammar & Syntax: The syntax and structure of the target sentence are identified. Thereafter, grammatical rules are applied to rewrite the sentence appropriately, with the end result being a human-sounding, grammatically correct text.

6. Text Output: The final output is generated based on a template or format selected by the user or programmer/designer.

Deshe Analytics rating is an AI-driven projection/opinion and not a statement of fact. 

A high-level overview of Deshe’s analysis methodology is as follows:

1. Each financial parameter is modeled against historical (15-25 years) & recent performance, tailored to its sector/industry benchmark

2. The momentum & rate of the change is calculated for each parameter

3. Unique “Deshe-made” distributions & standard deviations are calculated and attributed per parameter, relative to their peer group

4. Based on the company’s sector and industry, Deshe’s algorithms identify and choose the parameters, derivatives, and ratios that are the most relevant and statistically significant for predicting stock performance for each specific stock analyzed

5. The resulting data is then analyzed using a stochastic methodology, based on historical performance

6. Deshe’s proprietary AI & ML (Machine Learning) techniques are then applied

7. A probability assessment & final grading of the expected performance per stock is calculated to optimize stock ranking in the relevant timeframe (typically 90 days)

8. Each stock is ranked with a relative numeric score (for example 83/100) and a ranking (Buy, Hold, Underperform) reflecting their likelihood of overperforming their peer group

Any action in any security is subject to personal research and risk assessment.

Deshe Analytics rating is an AI-driven projection/opinion and not a statement of fact. Stock rankings fall into 4 basic categories: 

1. "Strong Buy" (5 Stars) and "Buy" (4 Stars) ratings represent the highest statistical likelihood (top 20% of scores) of a company to overperform in its sector & industry.
2. "Hold" (3 & 2 Stars) rating indicates the company is not statistically likely to overperform.
3. "Underperform" (1 Star) rated companies are the most statistically unlikely (bottom 20%) to overperform their peers.

Any action in any security is subject to personal research and risk assessment.

Deshe's AI analysis offers a deep, fundamental understanding of the whole market, as well as the ability to drill down into each individual stock instantly, in any language.

Deshe's AI dynamically reacts and adjusts to stock movements and market changes as they happen.

Each individual stock is evaluated on its own merits and its relative attractiveness compared to its peers, its sector, and the market cap.

No. 100% of the rankings and ratings are data-driven and follow the Deshe Analytics methodology without external intervention.

Yes. For each sector & industry, we run tailored analysis algorithms.

The algorithms identify & choose the most relevant & effective parameters, derivatives, and ratios for predicting stock performance for each specific stock analyzed, in order to maximize the success rates of the analysis for each specific market segment.

Similarly, Deshe's AI leverages tailored analysis algorithms for different sectors and industries, adapting the algorithm based on the varieties of geographical location and market cap.

No. Technical analysis recommendations are a separate, parallel scoring for each stock and updated daily.

Fundamental scoring is produced in accordance with the timing of the publication of company financial reports.

Yes. Within each sector, Deshe provides an equal number of ratings for Buys (~20%, which includes Stong Buy & Buy) & Underperforms (~20%), according to the following breakdown:

1. 100-95% of stocks with the highest relative score receive a Strong Buy rating

2. 95-80% of stocks with the highest relative score receive a Buy rating

3. 80-20% of stocks with the highest relative score receive a Hold rating

4. 20-0% of stocks with the highest relative score receive a Underperform rating

Clients can integrate Deshe's data via API and with customizable widgets.

Yes. In addition to data feeds and equity research reports, some clients leverage Deshe's AI for investment strategy creation.

For example, financial firms have chosen Deshe's AI for their stock picking engine for creating Direct Indices, Mutual Funds, and Hedge Fund strategies.

Yes. 

Generally, yes. Anything can potentially be added as part of an enterprise deal.

Yes, when clients integrate via widgets, they can fully customize the user interface.

Similarly, when clients pull the data via API, they can place it wherever they want.

There are 3 main exceptions for a company not to be analyzed and ranked by Deshe in a particular period:

1. The company didn’t publish new financial statements in the last 6 quarters.

2. On the latest financial statement publish date, the company's market cap was less than $10MM.

3. The company went public during the prior 2 quarters but didn’t yet publish 2 financial reports.

There are 2 additional rare situations that can lead to a stock temporarily not having Deshe coverage:

1. Deshe's AI requires a minimum threshold of data (companies' reports) to compare within the relevant peer group (this threshold is approximately 2% of the expected dataset). Therefore, during the 1st & 2nd weeks of 'Reports Season', we may postpone some of the analysis updates for specific companies until that 2% threshold is met. 

2. When we identify extreme and abnormal deviations from the previous report analysis & peers' behavior. In this case, we postpone the update in order for our product team to review the data and confirm everything is correct.

Please note that the majority of Deshe’s analysis is based on the full financial statements (AKA: 10K, 10Q, etc.).

Once that financial statement is published, we are usually providing the analysis within 12-48 hours from the financial statement release.

However, there are 2 typical exceptions:

1. During the 1st and 2nd week of the reports season, we may postpone some of the analysis updates for specific companies. For example, because our analysis is comparative, the AI requires a minimum threshold of data ( companies' reports) to compare within the relevant peer group. That threshold is approximately 2% of the expected dataset.

2. In rare cases, where we identify extreme and abnormal deviations from the previous report analysis & peers' behavior. In this case, we postpone the update in order for our product team to review the data and confirm everything is correct.

In addition, there are 3 typical exceptions for a company not to be analyzed and ranked by Deshe in a particular period:

1. The company didn’t publish new financial statements in the last 6 quarters.

2. On the latest financial statement publish date, the company market cap was less than $10MM.

3. The company went public during the last 2 quarters and didn’t yet publish 2 financial reports.

Deshe's algorithms analyze companies’ YoY (year-over-year) TTM (trailing 12-months) fundamental data.

In order for the analysis to follow our quality specifications, we must measure the change and rate of change for each financial parameter, and compare those to the analyzed company’s peers.

Therefore, all the companies we analyze must have a minimum of 2 financial statements published.

In the Deshe Report’s top section, the previous trading day's closing price is presented. Right below that price, the Deshe Report shows the PPS (price per share) as it was on the financial statement filing date.

Yes, Deshe's AI can create research reports and explanation paragraphs in any language. For additional languages to be added, it takes approximately 4-6 weeks for the beta release.