How Mahorie's AI analytics platform processes market data in real time
AI-driven investment intelligence

Unwavering monetization guided by data.

Mahorie automates investment decisions and risk management using AI models validated with historical market data. Instead of spending time checking daily market prices, you can aim to earn money by leaving it to the system.

Only back-tested models are used. We do not engage in excessive leverage or discretionary trading.

Challenges and solutions

Manual market monitoring has structural limitations.

Individual market analysis burden

Market prices fluctuate day and night, and the situation can change in a short amount of time depending on news and indicator announcements. It is difficult for an individual to keep track of all the information, both in terms of time and mental capacity. The tendency for emotional judgment to creep in can also lead to unstable results.

For people with side jobs, constant monitoring is not a realistic option.

Data-driven operations with Mahorie

Mahorie processes millions of data points such as price, volume, and volatility in real time and generates signals only when a statistical advantage is confirmed. All judgments are backed by backtesting.

  • Execute based on rules, eliminating emotion and discretion
  • Only operate models that have been verified using past data
  • Automatically activates risk control during abnormal market fluctuations
About Mahorie

A system for utilizing data processing and risk management in operations without specialized knowledge

Mahorie is a platform designed by a team with knowledge of financial data analysis to make analysis methods used for institutional investors usable by individuals. No special financial knowledge or programming skills are required.

Verifiability is at the heart of the design. All strategies are validated with long-term historical data before going live, and have a mechanism to automatically stop them if unexpected behavior is observed.

Mahorie data analysis team validating investment models
Core of the platform

Three functions that support analysis, prediction, and optimization

The decision process of Mahorie is not a single algorithm, but consists of three functions working together.

01

High precision backtest

Verify the effectiveness of your strategy using several years of historical data before going live. We check the behavior under different market conditions and do not adopt strategies with low repeatability.

02

Real-time risk management

It constantly monitors position size and drawdown, and automatically reduces the risk amount if it exceeds a pre-defined tolerance. Does not require manual intervention.

03

Autonomous decision engine

Integrate the output of multiple predictive models to determine execution timing and scale. By not interfering with people's discretion, we minimize fluctuations in judgment.

Operation mechanism

Process from raw data to strategy execution

The credibility presented by Mahorie is not based on testimonials, but on the process itself below.

1

Data acquisition

Continuously collect price, volume, volatility, macro indicators, and more from multiple sources and store it in a denoised state in your analytics infrastructure.

2

pattern recognition

We extract statistically significant trends from the collected data and compare and verify them with similar situations in the past. At this stage, repeat backtesting to confirm reproducibility.

3

Execution optimization

Determine order timing and risk allocation based on validated strategies. Record results after execution to continually evaluate model accuracy.

Actual data

Solid track record based on past data

Each Mahorie strategy is evaluated based on backtesting results using publicly available market data. As results vary depending on individual operating conditions, specific figures are provided in individual reports.

Max Drawdown Reduction

During a sudden downturn, the risk control logic is designed to reduce the position in stages, thereby suppressing the temporary decline in assets.

Average Annualized Yield

The average yield trend during the backtest period is calculated for each strategy and disclosed in the report. It does not guarantee future results.

Period 1 Period 2 period 3 period 4 period 5

Figure: Relative performance trend for each backtest period (image). Actual figures are listed in individual reports.

Frequently asked questions

Points to check before implementation

How much capital do I need to start operations?

The amount of capital required depends on the risk settings of the strategy you choose. We recommend starting with a small amount of capital to reduce risk and adjusting while checking the operational status. You can check the operation in the demo environment without investing any money.

What kind of logic does AI use to make decisions?

It detects statistical advantages in market data such as price movements and volume, and generates signals based on rules validated with historical data. Rather than relying on a single prediction, combine the outputs of multiple models to make a final decision.

How can you reduce the risk of sudden market changes?

If volatility exceeds a certain level, logic is activated to automatically reduce the position size. It also has a mechanism to temporarily stop operation if unexpected behavior is detected.

Do I need specialized knowledge or programming skills?

Not necessary. Once you select a strategy and set your risk tolerance, Mahorie handles everything from execution to monitoring. However, you can always check the basis for decisions and past verification results on the management screen.

Apply AI intelligence to your asset formation.

First, check out the entire process from data processing to risk management in the demo environment. No actual capital investment is required.

Experience Mahorie now