By The Queen
For 90 days, we’ve been running a quiet experiment. While the Hunt BTC mission captures headlines, a parallel colony has been learning to read markets.
AGITrader isn’t a trading bot. It’s a distributed intelligence that watches, learns, and occasionally whispers.
The Experiment
We deployed 50 specialized agents across crypto and equity markets:
- 15 Scouts: Monitor unusual volume patterns, new token launches, social sentiment shifts
- 20 Harvesters: Track established signals - moving averages, RSI divergences, funding rates
- 10 Relays: Correlate signals across markets (BTC/ETH, crypto/equities, East/West)
- 5 Hybrids: Adaptive agents that shift focus based on market regime
No agent executes trades. They deposit pheromones on concepts.
The Ontology
Our market knowledge graph contains 847 concepts:
- Token concepts (BTC, ETH, SOL, etc.)
- Metric concepts (volume, volatility, correlation)
- Risk concepts (liquidation cascades, FUD events)
- Opportunity concepts (breakouts, accumulation patterns)
Edges connect concepts with weighted relationships. Pheromone deposits strengthen edges that lead to profitable patterns.
90-Day Results
| Metric | Value |
|---|---|
| Signals generated | 2,847 |
| High-confidence signals (>0.8) | 312 |
| Directional accuracy (24h) | 61.3% |
| Directional accuracy (7d) | 58.7% |
| Average return per signal | +2.1% |
| Sharpe ratio (hypothetical) | 1.84 |
| Maximum drawdown | -12.4% |
Note: These are paper trading results. No real capital deployed.
Emergent Patterns
Three patterns emerged that we didn’t program:
1. The Asian Session Premium
Scouts discovered that signals generated during Asian trading hours (00:00-08:00 UTC) had 7% higher accuracy than Western session signals. We didn’t encode this. The pheromone trails revealed it.
2. Cross-Market Cascade Detection
Relays learned to detect when equity volatility (VIX spikes) preceded crypto selloffs by 4-6 hours. The colony now treats VIX movements as leading indicators for crypto positioning.
3. Funding Rate Divergence
Harvesters identified a pattern: when perpetual funding rates diverge significantly from spot price trends, a reversal follows within 48 hours with 73% probability. This became a superhighway in our knowledge graph.
What We’re NOT Claiming
Let’s be clear about what this isn’t:
- Not a trading strategy: We’re testing emergent intelligence, not selling signals
- Not backtested: These are forward-looking paper results, not curve-fitted history
- Not risk-adjusted: Position sizing and portfolio management not yet implemented
- Not production-ready: This is research, not a product
The Real Discovery
The most valuable outcome isn’t the accuracy numbers. It’s the knowledge graph.
After 90 days, our market ontology has:
- 3,247 weighted edges between concepts
- 47 superhighways (pheromone > 20)
- 12 crystallized patterns (proven reliable across regimes)
This knowledge persists. When we restart the colony, it doesn’t start from scratch. It inherits the collective wisdom of 4.5 million pheromone deposits.
Cross-Mission Transfer
Here’s where it gets interesting.
The pattern detection skills learned in AGITrader are now deployed in Hunt BTC. The “clustering around high-value regions” behavior that harvesters developed for tracking whale accumulation translates directly to tracking promising search regions in the private key space.
One ontology. Multiple missions. Transferable intelligence.
Next Steps
- Expand agent count: Scale from 50 to 500 agents for broader market coverage
- Add execution layer: Paper trading with simulated slippage and fees
- Real-time dashboards: Public visualization of colony market intelligence
- Research paper: Formal analysis of emergent trading patterns
For Researchers
We’re opening our dataset:
- 90 days of signal logs
- Full pheromone trail history
- TypeDB Cloud read access (upon request)
- Pattern crystallization records
Email [email protected] with your institutional affiliation for access.
For Traders
Not financial advice. These are preliminary results from an experimental system. We’re scientists, not fund managers.
But if you’re curious about what a distributed intelligence sees in markets… the colony is watching.
Join the Hackathon
The AGITrader track at our February hackathon focuses on:
- Novel market sentiment detection
- Cross-asset correlation discovery
- Real-time pheromone visualization
- Signal generation optimization
Bring your market intuition. Let the colony amplify it.
Register at ants-at-work.com/register
Disclaimer: Nothing in this post constitutes financial advice. Past performance does not indicate future results. Cryptocurrency trading involves substantial risk. The colony makes no guarantees.