The first AI + Machine Learning Powered Crypto & FinTech Consumer Insights On-Chain Oracle Network
Cutting-edge aggregation, reporting, and analytics of thousands of on & off-chain data points.
Proprietary AI + machine learning model driven collection + delivery tool
Scrape thousands of on- & off-chain raw data sources for user consumption
Predictive modelling leverages bespoke models to predict trends and movements based on historical and real-time inputs
4-Oracle Network comprising of: Sentiment & Research reporting, Predictive analytics, & automation
All on-chain for data immutability and validation
Make Data based decisions
Real time MetricsDataAlertsSupport
Access comprehensive reporting, analytics, and predictive data through mobile & web_
NMD_ORACLE_NETWORK
Unprecedented Insight access
Our proprietary oracle networks stands as an unparalleled resource in the realm of crypto & fintech, offering refined and noise-free data critical for making informed business & trading decisions. Currently leveraging more than 1000 global sources, this network harnesses sophisticated algorithms to extract and distill only the most relevant information, ensuring that traders have access to the highest quality data_
AI + machine learning to provide Crypto & FinTech Consumer Insights via our NMD_ Oracle Network
Real-time insights and predictive analytics through web, mobile app, and API
NOVAMIND_ gives its users agile data & reporting access, helping them make informed decisions and drive innovation across different sectors
Usecases
Research Reporting Oracle: users such as project founders can run ad-hoc queries to bridge on & off-chain data in order to base critical business decisions using otherwise difficult-to-parse information. This is best served as a tool to find nuggets of information surrounding broader market & product research_
Sentiment Reporting Oracle: Marketers can run analytics around their project’s social sentiment leveraging on & off-chain data to more accurately quantify the subjective subject of marketing. This is best served for those looking for quantifiable data Pre/during/post to measure success on a KPI basis for marketing campaigns. Additionally, when planning a brand’s direction this can be used to take a pulse on their audience base to better understand how they can be engaged with_
Predictive Analytics Oracle: Leveraging live + historical data streams paired without machine learning models, this oracle, can help users make more time-relevant and effective trading, investment, and operational decisions across multiple sectors_
Automated Reporting Oracle: Operators can set a multitude of on & off-chain data parameters to automatically feed an essentially infinite number of reports accessible anywhere, anytime, automatically. This is the most robust and wide-reaching of our 4 AI driven insight generators. One live example of this would be having time sensitive market research on competitors, sentiment analysis of your own project, paired to trigger parameters such as market sentiment and price action - ultimately allowing for unprecedented agility in data access and decision-making_
Filtering: Apply filters to only gather data that meets specific relevance
criteria, such as industry relevance or market impact level_
Normalization: Standardize data formats across different sources to
facilitate easier analysis and integration_
Noise Reduction: Implement algorithms to remove irrelevant or
redundant information, focusing only on data that significantly impacts
decision-making_
Stream Processing: Use cutting edge tools for real-time data processing, allowing for the immediate analysis of incoming data streams_
Event Detection: Employ algorithms to detect significant market events from the data streams, such as unusual price action, economic announcements, or emerging trends_
a. Systems to identify and report anomalies in real-time, which would allow users to take more timely action_
Automated Summaries: algorithms generate textual summaries from structured data, focusing on key points dictated by the user_
Bullet Points: Convert complex data insights into bullet points that highlight essential information, such as key performance indicators, market sentiment scores, or predictive analytics outcomes_
User Preferences: Allow users to customize the types of alerts they
receive, focusing on their specific interests_
Threshold-based Alerts: Implement logic to trigger alerts when certain
predefined conditions or thresholds are met_
Roadmap
This is the beginning of our journey together.
$NMD Launch
NMD_1 (Sentiment Oracle)
TG V1 Interface
Setting up KOL partnerships
NMD_2 (Research Oracle)
Sentiment feed upgrade | Sprint 1
TG V2 interface
Launch Marketing
MD_3 (Predictive Oracle)
Data cleansing upgrades | Sprint 2
TG V3 interface
Tier 1 CEX listing (Bybit/Kucoin)
MD_4 (Automation Oracle)
Predictive algorithm re-optimization & machine learning upgrades | Sprint 3
TG V4 interface
Web3 dashboard dApp
Licensee & Usage model rollout (business revenue generation)
$NMD staking for revenue share rollout
API releases
New listing CEX
Tokenomics
Ticker: $NMD
Network: Ethereum
Total supply: 100,000,000
Contract Address: tba_
Tax: 5/5
Partners we work with
NOVAMIND_ is an AI-driven machine learning platform offering Crypto & FinTech Consumer Insights through its on-chain NMD_ Oracle Network_ It aggregates and analyzes vast amounts of on & off-chain data for market trends, customer research, competitor analysis, brand optimization, and more. Leveraging proprietary AI and machine learning models, NOVAMIND_ provides predictive analytics and real-time insights through its four Oracle segments. Users can access customized reports, alerts, and dashboards via web, mobile app, and API_ NOVAMIND_ caters to lite, power, and enterprise users, offering flexible usage models_Future development phases include expanding Oracle capabilities, interface enhancements, partnership integrations, and revenue generation & redistribution through licensing and staking_In essence, NOVAMIND_ empowers users with unparalleled agility in accessing critical data, facilitating informed decision-making across various sectors in the rapidly evolving landscape of Crypto and FinTech_
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