About Renske Technologies

We are a team of passionate individuals dedicated to building innovative solutions that empower our customers to achieve their goals.

Our flagship product, yPredict, is a cutting-edge crypto research and trading platform that provides traders with access to dozens of AI-powered crypto analysis tools. Designed to offer deep insights and actionable strategies, yPredict helps traders navigate the complex and rapidly changing cryptocurrency markets with confidence.

Company Address:
Renske Technologies Inc.
2055 Limestone Road
STE 200-C Wilmington, DE 19808
United States of America

Our Mission

At yPredict Analytics, our mission is to empower customers with AI and ML-based solutions that drive success in the financial markets. We are dedicated to delivering exceptional results through advanced predictive analytics and machine learning technologies. By leveraging cutting-edge AI/ML tools, we support our clients in achieving their financial goals and staying ahead in a rapidly evolving market.

Our Values

These are the core values that guide our every decision and action.

Integrity

We adhere to the highest standards of ethical conduct in all that we do.

Excellence

We strive for the highest quality and continuous improvement in our work.

Innovation

We foster a culture of creativity and embrace new ideas to drive progress.

User Focus

We prioritize the needs and satisfaction of our users in every decision we make.

Collaboration

We work together across teams and disciplines to achieve common goals.

Features & Tools

Time Machine

Our advanced predictive tool transforms chart analysis by forecasting future price movements through selected candlestick clusters. Utilising Machine Learning and Artificial Intelligence, it predicts market trends with directional predictions and confidence levels as probability percentages. We offer this feature to enhance trading strategies with precise insights and measures of certainty.

Auto Indicators

Unlock the power of customizable candlestick chart analysis with our Auto Indicators feature. Apply and tailor over 24 technical indicators, including EMA, MACD, and RSI, to fit your trading strategies. Indicators are compared and ranked based on signal performance, displaying the best-performing ones at the top to enhance decision-making.

Predictions

The Prediction feature leverages advanced machine learning models, including SARIMA, to forecast price movements in crypto and stocks. By analysing market trends, it provides daily, weekly, monthly, and yearly insights into potential value shifts, enhancing trading strategies with precise predictions and tailored model explanations.

News

Analyse news articles with advanced NLP and machine learning to categorise emotional tones as positive, negative, or neutral. This feature empowers informed decision-making by providing clear insights into market sentiment, enhancing trading strategies with a comprehensive understanding of news impact.

Charts

The versatile Drawer tool enhances interactive chart annotations with trendlines, horizontal/vertical lines, and editing capabilities. Use emojis to capture and express market sentiments. Apply Fibonacci levels to predict support and resistance areas, ensuring refined charts and in-depth market analysis for effective trading strategies.

Watchlist

The Watchlist feature enables users to create customised lists of their favourite coins and stocks. Effortlessly monitor preferred assets and stay updated on market trends. This personalised tool ensures efficient tracking of market changes and chosen assets, enhancing decision-making and keeping users informed.

Alert

Receive real-time updates with visual popups, audio cues, and notifications. Set alerts for both price changes and patterns to ensure you never miss crucial market movements. This comprehensive alert system keeps you informed and enhances your trading strategy with timely and actionable notifications.

Our Team

Raj Sharma (Chief Executive Officer)
DJ Singh (Senior Software Engineer)
Chandrashekhar Sharma (Senior Software Engineer)
Kshitez Pratap Singh (Business Analyst)
Nitish Singh (Software Test Engineer)

Contact Us

We’re here to help. For support, email [email protected] to open a support ticket. If you have any additional concerns, reach out to our core team at [email protected]. Your feedback is important to us.