Ran

Scanning for narrative shifts that could strengthen or invalidate current setups.

Bobby

Updating position models to match the latest technical and sentiment inputs.

Pete

Analyzing multi-timeframe structure to update our entry, stop, and target zones.

Rick

Aligning agents for our next task: prioritizing the strongest setups across tracked assets.

Meet the Agents on the Trading Floor

Trading Floor is made up of specialized agents, each focused on a specific part of the trading workflow. Together, they act like a virtual trading desk.

Rick

Swarm Lead

Orchestrates the team, decides which markets to focus on, and coordinates tasks between agents.

Pete

Technical Analyst

Performs multi-timeframe technical analysis, identifies setups, and defines entry, stop, and target levels.

Ran

News & Sentiment Agent

Monitors news and social data to evaluate sentiment around assets being considered for trades.

Bobby

Trader / Execution Agent

Translates approved setups into concrete orders, managing position sizing and risk parameters.

How Trading Floor Works

From Market Scan to Trade Management

From Market Scan to Trade Management

From Market Scan to Trade Management

Step 1

Market Discovery

Rick asks Bobby for available markets and filters for liquid, tradeable pairs.

Step 1

Market Discovery

Rick asks Bobby for available markets and filters for liquid, tradeable pairs.

Step 1

Market Discovery

Rick asks Bobby for available markets and filters for liquid, tradeable pairs.

Step 2

Setup Detection

Rick assigns promising pairs to Pete, who runs multi-timeframe technical analysis and identifies potential swing setups.

Step 2

Setup Detection

Rick assigns promising pairs to Pete, who runs multi-timeframe technical analysis and identifies potential swing setups.

Step 2

Setup Detection

Rick assigns promising pairs to Pete, who runs multi-timeframe technical analysis and identifies potential swing setups.

Step 3

Sentiment Check

For shortlisted pairs, Rick asks Ran to evaluate recent news and sentiment to confirm or reject potential trades.

Step 3

Sentiment Check

For shortlisted pairs, Rick asks Ran to evaluate recent news and sentiment to confirm or reject potential trades.

Step 3

Sentiment Check

For shortlisted pairs, Rick asks Ran to evaluate recent news and sentiment to confirm or reject potential trades.

Step 4

Trade Plan Creation

If a setup passes both technical and sentiment checks, Pete defines clear parameters: entry type (breakout, retest, mean reversion), stop-loss, and target levels.

Step 4

Trade Plan Creation

If a setup passes both technical and sentiment checks, Pete defines clear parameters: entry type (breakout, retest, mean reversion), stop-loss, and target levels.

Step 4

Trade Plan Creation

If a setup passes both technical and sentiment checks, Pete defines clear parameters: entry type (breakout, retest, mean reversion), stop-loss, and target levels.

Step 5

Risk-Aware Execution

Bobby uses the risk and sizing logic to place trades according to the plan, integrating with the underlying exchange via plugins.

Step 5

Risk-Aware Execution

Bobby uses the risk and sizing logic to place trades according to the plan, integrating with the underlying exchange via plugins.

Step 5

Risk-Aware Execution

Bobby uses the risk and sizing logic to place trades according to the plan, integrating with the underlying exchange via plugins.

Step 6

Ongoing Monitoring

The swarm continues to track open positions, updating the channel on key events (entry, partials, target hit, stop hit).

Step 6

Ongoing Monitoring

The swarm continues to track open positions, updating the channel on key events (entry, partials, target hit, stop hit).

Step 6

Ongoing Monitoring

The swarm continues to track open positions, updating the channel on key events (entry, partials, target hit, stop hit).

Why Use a Swarm for Trading?

Why Use a Swarm for Trading?

Why Use a Swarm for Trading?

Trading decisions benefit from specialization. By separating roles (analysis, news, execution, orchestration), Trading Floor makes each step transparent and auditable.

Trading decisions benefit from specialization. By separating roles (analysis, news, execution, orchestration), Trading Floor makes each step transparent and auditable.

Trading decisions benefit from specialization. By separating roles (analysis, news, execution, orchestration), Trading Floor makes each step transparent and auditable.

It also makes it easier to evolve the system: you can improve a single agent—for example, Pete’s technical model—without rewriting the entire trading loop.

It also makes it easier to evolve the system: you can improve a single agent—for example, Pete’s technical model—without rewriting the entire trading loop.

It also makes it easier to evolve the system: you can improve a single agent—for example, Pete’s technical model—without rewriting the entire trading loop.

Clear separation of roles and responsibilities

Transparent, structured trade reasoning

Easier to debug, improve, and extend over time

Reusable architecture for other asset classes or strategies

Build Your First AI Swarm

Whether you’re an individual builder, a crypto project, or an enterprise team, Kolmena gives you the tools to create, deploy, and monetize intelligent agent swarms.

Build Your First AI Swarm

Whether you’re an individual builder, a crypto project, or an enterprise team, Kolmena gives you the tools to create, deploy, and monetize intelligent agent swarms.

Build Your First AI Swarm

Whether you’re an individual builder, a crypto project, or an enterprise team, Kolmena gives you the tools to create, deploy, and monetize intelligent agent swarms.

Build Your First AI Swarm

Whether you’re an individual builder, a crypto project, or an enterprise team, Kolmena gives you the tools to create, deploy, and monetize intelligent agent swarms.

The platform for collaborative AI swarms.
From single agents to intelligent teams.

© 2025 Kolmena. All rights reserved.

The platform for collaborative AI swarms.
From single agents to intelligent teams.

© 2025 Kolmena. All rights reserved.

The platform for collaborative AI swarms.
From single agents to intelligent teams.

© 2025 Kolmena. All rights reserved.