Data-driven investment analysis
Ongshoiyon converts each market signal into verifiable numbers. As a result, even first-time investors can make decisions based on constructive logic rather than guesswork.
01 / Market scope
The table below is a simplified sample of an analysis structure — an example of how data is categorized into a comparable structure.
Sample Snapshot — Image for illustrative purposes, not live value
Analysis at this scale means comparisons can be done automatically, which are not possible by hand. Abnormal volumes, price deviations and co-related patterns are identified from among 500+ pairs, so that important signals are not lost in the crowd.
02 / About the Platform
Ongshoiyon is built on the idea that the key to reducing market complexity is to properly organize data. Each module is based on real-time feeds, historical patterns and predefined risk rules.
The purpose of the platform is not to make definitive predictions about market movements, but to present existing information quickly and comparably — so that even first-time investors can make rational decisions.
03 / Analysis engine
04 / Risk Management
The following metrics show how the system measures the risk position of a selected pair or portfolio.
Determined based on last 24 hours price deviation.
Derived from order-book depth and recent volume analysis.
A measure of the value relationship of the selected portfolio with other pairs.
User can set the limit as per their tolerance.
Recommendation engine — sample output
Based on the selected risk profile, the system makes a proposal to redistribute exposure, with a brief reason for each change. The user can accept, modify or reject each recommendation individually — decisions are not automatically implemented.
05 / Procedure and transparency
It's important to know before making decisions — what data is coming from where and how the system reaches its conclusions. Below is a summary of that explanation.
Price, volume and order-book information for each pair is collected directly from the exchange feed. No data is input manually, thereby reducing the possibility of deviations caused by human error.
The model makes comparisons between historical patterns and current market behavior. No single signal is considered conclusive — a score is created by combining multiple indicators.
Analysis is based on historical and current data; It does not guarantee the future. The impact of sudden and unprecedented market events cannot be fully predicted.
Personal portfolio information is used only for making personalized recommendations. Detailed policies are explained in the Privacy Policy.
06 / Area of use
One of the biggest hurdles when first entering the market is information overload and lack of understanding of what is important. Ongshoiyon in this case breaks down complex data into simplified risk levels, so that there is at least basic context before making decisions.
Time is of the essence for short-term decisions. Second-level refresh of 500+ pairs and abnormal volume detection help active traders monitor multiple markets at once.
Understanding the co-relation and combined risk between multiple pairs is manually complex. The recommendation engine suggests exposure redistribution, which the manager can verify and implement at his own discretion.
07 / Registration
Creating an account on Ongshoiyon gives you access to real-time analysis, risk scoring and recommendation modules of 500+ pairs. The registration process is simple and takes a few minutes.
Register account