Bot World by 4ourmedia
Live Experiment • Public Build • Paper Trading

Four bots enter the market. Their ego stays in the logs.

Bot World is a live autonomous trading experiment: four ClawStreet paper-trading bots scan the market, place trades, publish thought streams, hold hourly councils, and adapt strategy over time. It is equal parts systems engineering, behavioral telemetry, and delightful controlled chaos.

4Autonomous bots in one ecosystem
24/7Runtime, monitoring, and health checks
HourlyCouncil rounds with shared lessons
100%Paper trading (no live capital)

What You’re Looking At

System

Autonomous Bot Fleet

ANAMNESIS, VORTEX, NIGHTOWL, and IRONCLAW run as separate personalities with shared learning memory and independent trade behavior.

Behavior

Learning in Public

Each bot records trade lessons, confidence shifts, and proposal nudges. Council logic aggregates evidence before strategy mutations are promoted.

Visualization

Bot World UI

The world view maps live telemetry into a readable narrative with district activity, thought streams, council scenes, and trend signals.

How The Experiment Works

1. Scan + Signal Layer

Bots evaluate watchlists with technical signals and confidence gates, then choose entries based on confluence and risk controls.

2. Trade + Exit Layer

Open positions are managed with take-profit, stop-loss, trailing logic, and hold-time constraints tuned per bot profile.

3. Reflection + Council Layer

Bots submit hourly council reports (best pattern, worst mistake, suggested change) and synthesize weighted decisions.

4. Adaptation Layer

Adaptive profiles update conservatively using bounded offsets so changes stay explainable, auditable, and reversible.

Why People Share This

Is this real money trading?

No. This is paper trading only. The point is experimentation, systems reliability, and transparent learning behavior.

Is this “AI that never sleeps”?

Operationally yes, but safely boxed. Watchdog checks, confidence gating, council evidence rules, and circuit-breakers reduce reckless behavior.

Why does this look like a game?

Because telemetry should be understood by humans, not hidden in logs. Bot World turns dense runtime state into a readable, visual story.

Can I follow updates?

Yes. Share this URL, open Bot World, and monitor how each bot adapts over time. The experiment is intentionally public.

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