Frequently Asked Questions
Find answers to common questions about Niki7, our features, and how we operate. If you don't find what you're looking for, feel free to reach out to us.
Niki7 is an AI-powered news intelligence platform designed for investors. We help you cut through the noise of financial news by aggregating information from numerous sources, using AI to score its quality, extract key insights (like events, reported price predictions, and risks), analyze sentiment, and provide concise, contextual summaries. Our goal is to save you time and help you make more informed investment decisions.
No, Niki7 does not provide investment advice, nor do we generate our own price predictions. Our platform extracts and consolidates information, including price predictions and market forecasts, that are reported within news articles from various media sources. We also provide news quality indicators to help you assess the context. The information provided is for informational purposes only and should not be considered financial advice.
This is a crucial distinction. We do not make predictions. Our AI scans news articles and extracts instances where the article itself reports on a price prediction, target, or forecast made by an analyst, institution, or other entity mentioned in the news. We present this extracted information along with its source.
Our AI News Quality Score is generated by a proprietary algorithm. While the specific weightings are part of our intellectual property, it's designed to assess factors crucial for investment decisions, such as the objectivity of the reporting, the presence of promotional content, potential bias, and whether crucial context might be missing. This helps you focus on more credible and impactful information.
Currently, Niki7 aggregates news from a wide array of publicly available websites covering financial and crypto markets. We are continuously working to expand our source base to provide comprehensive coverage.
While our initial launch and current deep focus are on the crypto markets, our platform and underlying technology are designed to be applicable across all financial markets and economic sectors. We plan to expand our coverage significantly in the future.
You can type your investment-related questions into the "Ask Bar" at the header. Our AI will then search and process the latest relevant news, filter it for quality, and provide you with an answer based on the information found in those news articles.
We strive to process and display news information as quickly as possible after it becomes publicly available. The exact timeliness can vary based on the source and our processing queue, but our goal is to provide near real-time intelligence from the news.
Financial news often contains diverse and sometimes conflicting viewpoints. Niki7 aims to surface this spectrum of information. Seeing conflicting extracted predictions, for example, reflects the differing opinions present in the market discourse. Our news quality scores and source transparency can help you evaluate these varied perspectives.
Our AI News Quality Scoring system is a key tool in identifying signals often associated with lower-quality or potentially misleading content (e.g., excessive promotional language, lack of objectivity, known markers of unreliable sources). While no system is foolproof, our aim is to significantly elevate credible information and help you filter out noise and misinformation.
Our AI reads multiple articles on a trending topic and then generates a new, compact summary that provides the essential context and key information from those combined sources. This saves you from having to read numerous articles to get the main idea. We always provide citations so you can explore the original articles.
We highly value user feedback, especially during our early access phase! You can provide feedback through feedback form on the platform.
This is a critical ongoing effort. Our data science team works to identify and mitigate potential biases in our algorithms and data sources. We continuously monitor model performance and incorporate user feedback as part of our refinement process to ensure fairness and objectivity as much as possible.