Who Coil is for
Coil is narrow on purpose. Here are the people it fits — and, honestly, the people it does not.
Most trading products try to be for everyone, which is usually a sign they're for no one. Coil is the opposite. It does one thing: it runs a single rules-based, self-tuning strategy on the 3x long and inverse semiconductor ETFs — SOXL and SOXS — on your own machine, through your own broker, with your own capital. Nothing else. That narrowness is the product, and it means Coil is a good fit for some people and a genuinely poor fit for others.
Below are the four people it's built for, and then the honest list of who should walk away. None of this is investment advice, and nothing here is a recommendation to buy, sell, or hold any security.
1. The hands-off semiconductor trader
You believe in semis as a long-run theme — AI demand, fabs, the whole arc — but you have a job, a life, and no appetite for staring at a 5-minute chart all day. You don't want to miss the moves, and you don't trust yourself to size and time them by hand without fear or greed getting a vote.
This is the core fit. Coil watches the tape for you on a schedule and acts by rule, not by mood. Its entries look for a "compression-to-ignition" leg — a sustained 2%+ intraday move treated as a short-timeframe continuation inside the hourly trend — and its exits are deterministic: a 0.8% counter-move soft trail (roughly 2.4% on the 3x ETF), a 5% hard stop, and a rule that the inverse ETF is never held overnight. The point isn't to outsmart you; it's to remove the screen from the equation. If you want to understand the rhythm before you commit, the how it works page walks through a full trading day step by step.
2. The agent-native builder
You already run Claude with MCP tools. You've wired up a scheduled agent or two, you understand the plumbing, and you could roll your own trading loop — but you'd rather not start from a blank file and a year of debugging your own backtest harness.
Coil is built for exactly your stack: an AI agent (built for Claude, on a schedule you control) operates the rules, and the broker connector is built for Robinhood but works with any equivalent broker MCP. What you're buying isn't the agent — you already have that — it's a validated strategy with a cold-backtest harness (a fresh process per market regime) and 20 integrity guards baked in. That harness once caught its own three backtest bugs: a look-ahead, a next-day leak, and a sign-inverted short book. If you've ever shipped a strategy that looked great until you found the leak, you'll appreciate why that matters. Start with the automate SOXL/SOXS with an AI agent guide, or read up on whether Claude can trade stocks at all.
3. The Robinhood automator
You want your own account traded by a rule set you can read — locally, on your hardware — and you specifically do not want to hand your account to a platform or a managed program. The phrase that matters to you is "you own the keys, the capital, and the risk."
Coil never asks you to fund a pooled account or grant a third party trade permission. It runs on your Mac (Python 3.9+), pulls market data through a free Alpaca key, and places orders through your own Robinhood connection. Your credentials never leave your machine. The Claude + Robinhood agentic trading guide covers the setup end to end, and the Coil vs Robinhood agentic trading comparison explains how Coil differs from wiring an agent to your broker yourself.
4. The evidence-driven skeptic
You've been pitched too many bots. You don't want a screenshot of a green equity curve; you want to read the actual rules and re-run the backtest yourself, on your own machine, and see whether the numbers survive a clean process.
This is the person Coil was secretly designed to win over. The full engine ships to you — entries, exits, the circuit-breaker ladder, all of it — and so does the harness that produced every figure we publish. You can re-run it cold. The honest results, all backtested or forward-tested under modeled execution and explicitly not client or live returns: a best trailing 250-session window (to 2026-06-13) of +78.3% with a profit factor of 3.87 and a 6.4% max drawdown — the single strongest window in the test, which is exactly why you should not anchor on it; 2024 chop at +11.4% (PF 1.51); 2023 quiet bull at +3.1% (PF 1.19); and the 2022 bear at −1.4%, the honest weak spot, improved from −3.6% only after the engine learned to stand down to cash on confirmed bear days. If you want to see how the self-tuning loops stay inside hard bounds rather than overfitting, read self-tuning vs static trading bots.
The caveat that applies to all four: this is roughly 115 trades a year on one ETF pair, under ~500 trades of total validation. Treat every figure above as a hypothesis, not proof. And SOXL/SOXS are 3x leveraged — a ~10% move in the semis index is roughly ~30% in the ETF, they decay on multi-day holds, and they can lose value rapidly including total loss of the capital you put in. Coil's circuit-breakers and rule-based exits aim to reduce single-day damage; stops can still gap straight through a price. No use case removes that risk.
Who Coil is NOT for
The fastest way to know if Coil fits is to read who it doesn't. If you see yourself below, please don't buy it — you'll be disappointed, and we'd rather say so now.
| If you want… | Why Coil isn't it |
|---|---|
| Guaranteed or projected returns | Coil promises none, and anything that does is the thing to walk away from. Past backtested results do not predict future results. |
| A managed, zero-effort product | This is software you install and operate. It is not a managed account, a fund, or a service that trades for you. |
| Many assets or markets | Coil trades exactly two instruments — SOXL and SOXS — and nothing else. No stocks, crypto, forex, or options. |
| No leverage risk | The whole strategy lives on 3x leveraged ETFs that can lose rapidly, including total loss. There is no low-risk mode. |
| No setup work | Plan on roughly an hour to install Python, get a free Alpaca key, and connect your broker and agent. There's no one-click version. |
To be clear about the first two rows: Coil is not investment advice, not a recommendation, not a managed account, and not a signal service. It's a one-time $9.99 download you keep forever, with an optional $25/mo or $249/yr Pro tier that only delivers each new cold-validated version via Coil Sync — you're paying for fresh research, not permission to run software you already own. If you're weighing it against hosted alternatives, the Coil vs trading bots and signal services comparison lays out the trade-offs fairly.
Still not sure?
If you're somewhere between "this fits" and "this doesn't," that's a reasonable place to be — and a sign you should read more before paying anything. The SOXL and leverage decay explainer is the most important homework, because if leveraged-ETF risk isn't something you're comfortable owning, none of the four use cases above apply to you. The FAQ answers the practical questions about setup, refunds, and what Pro actually buys.
Coil is narrow, honest, and not for everyone. If you're one of the four people above and you've read the risk, the pricing page has the $9.99 download.
If one of these is you, own the engine for $9.99
Download the full self-tuning strategy once and keep it — or add Pro for autonomously delivered, cold-validated updates. You hold the keys, the capital, and the risk.
See pricing — from $9.99Coil is software you install and run yourself, with your own brokerage credentials and capital. It is not investment advice, not a managed account, and not a signal service. Leveraged ETFs such as SOXL and SOXS can lose value rapidly, including total loss. All performance figures are backtested or forward-tested under modeled conditions — not client returns; past performance does not predict future results.