Whole-market scoring engine
Scans names across the S&P 500, the Nasdaq-100, and a macro book, then ranks them by opportunity, entry window, conviction, leadership, rotation phase, and market posture.
Coil
Coil is a long-only AI trading agent you run on your own machine and brokerage account. It scans major U.S. equity universes and a macro book, then places rule-based trades when leaders meet its entry conditions.
What Coil is
Coil is an autonomous, long-only AI trading agent that users run on their own machine and own brokerage account. It is built to scan the S&P 500, the Nasdaq-100, and a separate macro book, rank names by leadership and entry quality, and buy the leaders that are coiled at support and ready to act.
The product is designed around a deterministic trading framework rather than freeform model output. The agent runs on scheduled sessions, reads the rule set, places or stands down on trades, manages exits, and can adjust position sizing locally within strict bounds. The site repeatedly stresses that this is research-backed software, not a promise, not managed money, and not investment advice.
Core capabilities
Rule-based entry gating
Uses explicit entry states such as READY, SETUP, WAIT, CHASE, and FALLING so the strategy can distinguish acceptable entries from names it should ignore.
Long-only leader selection and sizing
Places trades only on the leaders that qualify, sizes positions by conviction, and can use leveraged ETFs to accelerate selected positions at reduced notional.
Rule-based exits and scale-outs
Exits positions by rule using structural stops, trailing stops, and laddered scale-outs rather than waiting for discretion or hope.
Hard safety controls
Includes an immutable safety core with account lockdown, position caps, drawdown circuit breakers, and kill switches that can stop new entries or reduce risk when losses deepen.
Local sizing adaptation
Retunes only position sizing locally against your own closed trades, within bounded limits and an audit trail, while the strategy logic itself remains fixed.
Practical use cases
Rules-based market leadership scanning
For traders who want an automated process that screens a broad universe, filters for acceptable entries, and only acts when names meet the strategy’s rules.
Hands-off execution on a personal setup
For users who want an agent to operate on a schedule while they are away, with entries, exits, and risk controls handled from their own machine.
Broker-connected automation
For Robinhood users who want AI-assisted order placement through a broker connector instead of manually acting on alerts.
Transparent strategy inspection
For people who prefer visible rules and a local audit trail over opaque hosted bots or signal feeds.
Local sizing tuning
For traders who want sizing to adjust to their own fills without allowing the strategy logic to change.
Pros and Cons
Pros
- Runs on the user’s own machine with credentials kept locally.
- Provides readable rules, scorecards, and a research backtest harness that can be run on the machine.
- Uses explicit entry and exit rules rather than discretionary prompts, which makes the workflow easier to audit.
- Includes local safety controls such as position caps, drawdown circuit breakers, and kill switches.
- Adapts position sizing to the user’s fills while keeping the strategy itself frozen and bounded.
Cons
- It is limited to long-only trading and appears focused on a specific leadership-based framework rather than broad discretionary strategy generation.
- The site says the engine is newly live, so the published backtest should not be read as a live or client track record.
- Leveraged ETFs are part of the system and can lose money quickly, including total loss.
FAQ
What do I need to run Coil?
Coil is designed to run on your own machine with your own broker account. The source says it is built for Claude Code, runs on Mac or Windows with Python, and connects to Robinhood through an MCP-style broker connector; it can also work with any equivalent broker MCP.
How does Coil actually operate day to day?
The core workflow is scheduled agent sessions: the agent wakes up, fetches market data, scores the market, and either places trades or stands down based on fixed rules. The source also says it can manage exits and retune position sizing locally within strict bounds.
What kind of trading style does Coil use?
Coil is long-only. It scans the S&P 500, Nasdaq-100, and a macro book, then buys only higher-conviction leaders that are at acceptable entry windows such as READY or SETUP; it does not buy falling knives or overbought chases.
Is Coil a managed service or financial advice?
The source emphasizes that Coil is software you run yourself, not a fund, not managed money, and not a signal service. You remain responsible for the account, and leveraged ETFs can lose money quickly, including total loss.
How much does Coil cost?
The pricing page is currently unavailable in the collected sources, so only limited pricing evidence is confirmed. The home page states 'Own Coil — $29' and the comparison page says the regular price is $39, but the site’s full pricing shape and limits are not confirmed from the available evidence.
Quick Facts
- Category
- AI trading agent
- Platform
- Mac or Windows
- Language / runtime
- Python
- Broker integration
- Robinhood via MCP; any equivalent broker MCP
- Primary style
- Long-only, rule-based leader selection
- Source domain
- coil.trade
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