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Cartesian Charts

SEIOO uses modular Cartesian charts as the foundation for all visual analysis.
Cartesian Charts

Instead of treating charts as static templates, SEIOO treats them as composable building blocks that adapt to data, indicators, timeframes, and aggregation logic.

This design turns a single asset into hundreds or thousands of meaningful visual representations, without adding complexity for the user.

At its core, every Cartesian chart answers one simple question:

How should this data be visually interpreted?

Why modular charts matter

Most platforms lock users into fixed chart types with limited customization. SEIOO does the opposite.

By separating:

  • Data

  • Indicators

  • Aggregation

  • Timeframe

  • Visualization type

SEIOO allows charts to be mixed and recombined freely.

This means:

  • One asset can be explored from many perspectives

  • The same indicator can tell different stories depending on visualization

  • Complexity grows through composition, not clutter

This is how SEIOO moves from market noise to investment clarity.

The four core Cartesian chart types

SEIOO supports four foundational Cartesian chart types. Each is optimized for a different analytical purpose.

Line chart

Use when you want to see change over time

“Show me Bitcoin price over time”

Line charts are the most natural way to understand development and trends. They emphasize continuity and direction.

Typical uses

  • Asset prices over time

  • Revenue growth

  • Volume trends

  • Indicator evolution

Why it works

The line highlights direction immediately.
You can instantly see whether something is rising, falling, or moving sideways.

In SEIOO, line charts are often used as:

  • Base price charts

  • Moving average overlays

  • Indicator timelines

Bar chart

Use when you want to compare things

“Compare monthly trading volume for Bitcoin”

Bar charts excel at side-by-side comparison. They make differences obvious and measurable.

Typical uses

  • Volume per period

  • Returns per asset

  • Performance comparisons

  • Aggregated metrics

Why it works

Bars create visual separation.
You can quickly identify leaders, laggards, and outliers.

In SEIOO, bar charts are especially powerful when paired with:

  • Aggregation logic

  • Period-based comparisons

  • Cross-asset views

Area chart

Use when you want to show total amount over time

“Show total crypto market volume over time”

Area charts extend line charts by emphasizing magnitude and accumulation.

Typical uses

  • Cumulative volume

  • Total value over time

  • Market-wide indices

  • Stacked contributions

Why it works

The filled area makes scale intuitive.
You don’t just see direction, you feel size.

In SEIOO, area charts are commonly used for:

  • Composite indices

  • Normalized signals

  • Market participation views

Scatter plot

Use when you want to see relationships

“Is Bitcoin price related to trading volume?”

Scatter plots are analytical by nature. They focus on relationships rather than time.

Typical uses

  • Price vs volume

  • Indicator vs indicator

  • Asset behavior comparisons

  • Correlation exploration

Why it works

Patterns emerge naturally.
Clusters, trends, and anomalies become visible without assumptions.

In SEIOO, scatter plots are ideal for:

  • Correlation analysis

  • Regime detection

  • Cross-metric exploration

A simple rule to remember

  • Line → Change over time

  • Bar → Compare values

  • Area → Total or accumulation

  • Scatter → Relationships

The chart type should always reflect the question you are asking, not just the data you have.

Composability: where SEIOO becomes different

The real power of SEIOO charts comes from modularity.

Each chart can independently combine:

  • A base visualization (line, bar, area, scatter)

  • One or more indicators

  • Different visualization types per indicator

  • Multiple aggregation levels

  • Multiple timeframes

Nothing is hardcoded.

From one asset to thousands of views

Because charts are modular, combinations grow exponentially.

Base components

  • 4 chart types

  • ~50 meaningful moving average periods

  • 4 visualization styles per indicator

  • Mean and derived indicators

  • 5 aggregation levels (daily → annually)

  • 3 timeframes (YTD, multi-year, all-time)

Conservative combinations

Just combining:

  • 4 base chart types

  • ~200 indicator variations

  • 5 aggregation levels

Results in: 4,000+ unique configurations

And that’s before:

  • Adding multiple indicators

  • Mixing visualization styles

  • Switching timeframes

  • Combining normalized or composite signals

Why this matters for investors

This architecture allows users to:

  • Explore markets instead of guessing

  • Validate intuition visually

  • Reduce cognitive overload

  • Build conviction through perspective

Rather than forcing users into predefined views, SEIOO lets insight emerge through structured exploration.

Summary

SEIOO’s modular Cartesian charts turn simple chart types into a combinatorial exploration engine.

By separating data, indicators, aggregation, and visualization, SEIOO enables virtually unlimited ways to understand a single asset, without sacrificing clarity or usability.

This is not about having more charts.
It’s about asking better questions and seeing clearer answers.

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