Predictive Analytics for DCA

Automated market entry for small crypto portfolios

Selkaro Sorelin analyzes market data in real time and distributes your purchase amount according to a fixed, data-based plan. No manual timing, no emotions in the process.

Exemplary representation · Weekly process
Data input
Model evaluation
Purchase executed

Manual timing costs time and nerves

Volatile markets encourage spontaneous decisions. A system replaces these decisions with fixed rules.

The problem

Price movements appear chaotic in the short term. Those who buy manually often react too late or too emotionally. Small budgets leave little room for misjudgment.

  • Buying decisions are based on gut feeling
  • Irregular execution
  • No documented logic

The solution

Selkaro Sorelin breaks down your budget into fixed intervals. A model continually evaluates whether the current time is favorable for the next partial purchase and executes the order automatically.

  • Rules-based purchase times
  • Constant execution without delay
  • Comprehensible decision logic

Three steps from raw data to order

The process takes place without intervention once your purchase plan has been defined.

01

Data recording

Price data, order book depth and volatility metrics are continuously collected and normalized from multiple sources.

02

Model evaluation

A statistical model estimates how favorable the current time is compared to the planned interval and adjusts the purchase size within defined limits.

03

Automatic execution

The order will be placed at the calculated time. Execution, amount and price are recorded and remain visible.

Control for small budgets

Low capital is unforgiving. Therefore, the system limits each order and spreads risk over time.

  • Position size limit

    Each individual order stays within a set proportion of your overall budget.

  • Interval scattering

    Purchases are spread over several points in time instead of tying up the budget in one order.

  • Volatility filter

    If there is unusually high short-term fluctuation, the model automatically reduces the purchase size.

  • Manual upper limit

    You set a monthly maximum. The system cannot exceed this limit.

Display in the dashboard

Each purchase plan shows a timeline of executed orders, remaining budget and current volatility level. Deviations from the plan are marked in color so you can check the progress in under a minute.

Comprehensible logic instead of promises

We show how the system works instead of advertising success figures.

Algorithm

The model combines moving averages, volatility metrics and order book data into a score. This score determines the time and size of the next partial purchase within your specifications.

Backtesting

Each model version is first tested against historical price trends in various market phases before it is released for new purchase plans.

Security

Access data and API keys are stored encrypted. Orders are only executed using the trading permissions of your own exchange account, never via a central pool.

Selkaro Sorelin team developing analysis models

Designed for limited budget and time

Selkaro Sorelin was born from the observation that professional analysis tools are usually designed for institutional budgets. Students with small portfolios rarely have access to comparable infrastructure.

We are therefore building a system that works with small, regular amounts, using the same data infrastructure as larger use cases. The operation remains deliberately simple: a purchase plan, clear limits, full insight into every decision.

Set up a purchase plan in minutes

Connect your exchange account, set a budget limit and activate the automated purchase plan. You can adjust or pause it at any time.