AI-powered crypto trading engine for perpetual futures — built for precision, speed, and nerve, running multiple models across accounts and assets in parallel.
BitNerve is an AI trading platform designed to run multiple AI models on live crypto markets (currently through the CoinSwitch API) to explore how intelligent systems behave under financial pressure.
It’s not a trading bot in the conventional sense.
It’s a playground for market intelligence — a laboratory where each model gets its own chance to prove its nerve.
In short:
BitNerve is where AI meets market volatility, and the charts tell the story of survival.
- Connects to CoinSwitch Exchange APIs for live market data and perpetual futures trading.
- Runs multiple AI models in parallel, each trading independently on its own account or subset of assets.
- Enables both paper trading and real execution (when configured with exchange keys).
- Continuously tracks positions, PnL, risk metrics, and agent reasoning through a unified dashboard.
At its core, BitNerve is designed to observe behavior under chaos — not just whether a strategy “works,” but how it behaves when the market shifts.
Most “AI trading” platforms today either hide behind proprietary models or oversimplify what “AI” really means.
BitNerve was built for a different purpose:
- To democratize the experiment — anyone can run and compare models locally or remotely.
- To visualize decision-making — each AI is transparent, auditable, and accountable.
- To push model boundaries — from simple LLMs to hybrid systems mixing rule-based risk logic with AI intuition.
- To treat trading as a behavioral study — of models, not markets.
The goal isn’t to automate profits. It’s to watch intelligence evolve under pressure.
BitNerve was built in a single weekend — but its future will evolve far beyond that.
- Expand multi-model orchestration — run 5–10 AI agents side-by-side.
- Add round-robin API key rotation to manage token usage across models (a lightweight hack for parallel inference).
- Integrate local model execution via Ollama and LM Studio, removing dependency on cloud inference.
- Improve dashboard telemetry — model performance heatmaps, per-symbol stats, and risk overlays.
- Add dynamic asset allocation — models choose which crypto assets to trade based on market state.
- Introduce replay & backtest modes to simulate sessions using recorded market data.
- Enable risk governors — per-model drawdown caps, kill-switches, and automatic cool-downs.
- Support ensemble trading, where multiple AI votes combine into a consensus trade.
- Connect to more exchanges (Backpack, Lighter, Binance, Bitget, OKX) via a pluggable adapter layer.
- Open a public leaderboard for AI trading agents to compete in live markets.
- Publish research findings on AI behavior in live markets.
“Markets are the best Turing tests.”
BitNerve treats the market as a real-world benchmark for intelligence — not accuracy on a dataset, but resilience in uncertainty. Every trade, loss, or hesitation is a behavioral datapoint.
AI isn’t judged by profit alone. It’s judged by how it thinks, adapts, and recovers — when everything goes wrong.
BitNerve is experimental software.
It’s meant for research, not financial advice or guaranteed performance.
- Trading crypto and perpetual futures involves significant risk.
- The system may behave unpredictably under real conditions.
- Use paper trading before attempting any live setup.
- Always assume your AI will make mistakes — that’s the point of the experiment.
Built over a single weekend.
Inspired by Alpha Arena.
Powered by curiosity, not greed.
BitNerve began as a spark — an attempt to explore how AI behaves when the numbers stop being theoretical. Now it’s evolving into a transparent, experimental playground for intelligent trading systems.