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Sjaj Prinostvo interface for real-time market data analysis

AI market analytics

Predictive analytics and portfolio automation for working without a fixed location

Sjaj Prinostvo processes data from more than 500 trading pairs in real time and generates recommendations based on risk models. The platform works in the background while you're on the go.

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500+monitored trading pairs
<80 msaverage processing latency
24/7continuous data collection
0of manual interventions upon execution

Scope of analysis

Technical parameters of the platform

The figures below describe the current scope and speed of data processing. They do not represent yield projections or guarantees of results.

500+ Trading pairs under continuous monitoring
80 ms Average signal processing latency
12 Layers of analysis by market pair
24/7 Continuous collection of market data

Technology

How the model makes data-driven decisions

The system combines statistical models and technical indicators into a unique risk assessment process before each execution.

  • Predictive analytics

    The model processes historical and current data to calculate the probability of price movement within a defined time frame.

  • Portfolio automation

    After setting the parameters, the system performs actions without manual intervention, with a record of each decision.

  • Risk optimization

    Each position goes through an exposure check before execution, including automatic setting of loss limits.

Sjaj Prinostvo representation of the analytical process and model structure

Workflow

Integration into work without a fixed location

The process is designed for users who work from different time zones and cannot monitor the market continuously.

Account linking

The platform connects to an existing stock exchange account via an API key with limited authority, without access to payouts.

Setting parameters

The user defines the level of risk exposure, the number of active positions and the maximum daily volume of transactions.

Automated execution

The system monitors the market and executes defined actions within the given limits, regardless of the user's time zone.

Transparency of the methodology

The logic behind the model's decisions

Instead of generic recommendations, the platform publishes the basic parameters of its methodology so that the user understands the origin of each recommendation.

Algorithm overview

The model combines technical indicators, trading volume and volatility into a weighted score for each pair.

Checking the data source

Data is retrieved directly from stock exchange APIs and cross-checked for discrepancies before processing.

Logic of backtesting

Each model change is tested on historical data before being applied to live data, with the test result recorded.

Questions and answers

Technical questions about security and access

How are data and API keys protected?
API keys are stored encrypted and are used exclusively for reading market data and executing orders, without authority to withdraw funds.
What is the protocol for connecting to the stock exchange?
The connection is made through the official API interfaces of the exchange with a limited scope of permissions defined by the user during setup.
How does the disbursement logic work?
The platform does not manage payouts. Funds remain in the user's account on the stock exchange, and payments are made exclusively through the interface of the stock exchange itself.
What happens in case of disconnection?
If communication with the stock exchange is interrupted, the system stops opening new positions and keeps the existing risk parameters until the connection is re-established.

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Setup takes a few minutes. Risk parameters remain under your control at all times.

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