Relemio dashboard interface visualizing crypto entry-point analysis

Automated entry timing for crypto, built to reduce emotional decisions.

Relemio analyzes price data continuously and schedules dollar-cost averaging around statistically favorable entry points. You set the parameters. The system executes them.

Start Analysis
Live model view: rolling volatility bands, entry probability scoring, and position pacing shown on a single timeline — no manual chart reading required.

Price swings make timing decisions difficult for new investors.

Crypto markets move fast, and short-term charts trigger impulsive reactions. Most beginners buy during spikes and hesitate during drops — the opposite of a disciplined approach.

Relemio removes the moment-by-moment decision. Entries follow a fixed, pre-tested logic instead of a screen you keep refreshing.

0 Manual buy/sell decisions required once your plan is active.

Three steps, no discretionary trading.

01

Data ingestion

The system pulls price, volume, and volatility data from multiple exchanges continuously, building a consistent dataset rather than relying on a single feed.

02

Predictive modeling

A statistical model scores each moment for entry quality based on historical volatility patterns, not sentiment or news headlines.

03

Automated execution

When a scored window meets your risk threshold, the system places a scheduled dollar-cost-averaging order automatically, within limits you define upfront.

Relemio risk-score and data analysis interface used to support automated entries

One dashboard. Entry timing, exposure, and risk score in view.

The interface is built around three readings you check in seconds, not a wall of indicators you need to interpret.

  • Entry probability timeline showing scheduled and completed buys
  • Position exposure by asset, updated in real time
  • Risk score per asset, recalculated as volatility shifts

The risk score reflects recent volatility and position concentration. A lower score means your current allocation is better distributed against short-term price swings — it is not a prediction of returns.

How decisions get made

What data sources does Relemio use?

The model draws on price, volume, and order-book data from multiple major exchanges. It does not use social sentiment, influencer activity, or unverified news as inputs.

How are risk parameters set?

You define a maximum position size and a volatility tolerance before activation. The system only acts within those bounds — it cannot increase your exposure beyond what you've configured.

What is the fee structure?

Relemio charges a transparent percentage on managed volume, shown before you activate a plan. There are no hidden spreads layered into execution pricing.

Set your parameters once. Let the entries run on schedule.

Activation takes a few minutes. You keep full control over position limits and can pause automated entries at any time.