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Coil vs Tickeron

Two ways to put AI on the market — a hosted AI signal/agent platform vs. a single published, long-only scored board.

Compare · 7 min read · updated July 2026

Both Tickeron and Coil use software to trade with less hands-on screen time, and both put "AI" on the market. That is roughly where the similarity ends. Tickeron is a broad, hosted AI platform you log into; Coil is a single scored board — one that scans the whole market and favors leaders long-only. This page lays out the genuine differences fairly. None of it is investment advice, none of it is a recommendation, and Coil is independent and not affiliated with Tickeron.

What Tickeron is

Tickeron is an established, well-known AI trading platform. Its real strength is breadth and accessibility: it covers a large universe of tickers, offers AI "trading agents" / "robots" and signal feeds, plus pattern-recognition screeners, trend predictions, and stock-scanning tools, all behind a no-code web dashboard on a subscription. If you want to point AI at many markets without writing or installing anything, that hosted model is a legitimate and convenient way to do it.

Tickeron also advertises large headline figures for some of its robots — for example, marketing has cited results such as roughly +551% and win rates around 79%. We present those strictly as Tickeron's own marketing claims, not as facts we have verified. Eye-catching advertised returns deserve healthy skepticism from any vendor: they are typically a best case, often modeled or selected, and rarely the experience of a typical user across a full market cycle. Treat every advertised number — theirs or anyone's — as a claim to interrogate, not a promise.

What Coil is

Coil is a subscription board you read in your browser or feed to your own AI agent, with your own broker and your own capital. It is rules-based scoring — not a fund, not a managed account, not a signal feed, and not advice. Its scanner scores every name across the S&P 500, the Nasdaq-100, and a macro book (bonds, income, gold and metals, commodities) for opportunity, entry-window (READY / SETUP / WAIT / CHASE / FALLING), hold-conviction, leadership, growth, sector-rotation phase, and market posture. The strategy behind it is long-only: it favors the leaders scored READY or SETUP at real entries, accelerates the strongest names with leveraged ETFs at reduced notional, and raises cash when nothing qualifies. Coil Scanner ($12/mo or $99/yr) is the board read in your browser. Coil Live ($29/mo or $249/yr) serves the engine-grade board over MCP to your own AI agent, which places any order at your own broker; the broker connector is built for Robinhood but works with any equivalent broker MCP. Coil never holds accounts or keys. It is deliberately opinionated — one validated rule-set — where Tickeron is deliberately broad and open-ended. For the agent setup, see the Claude + Robinhood agentic trading guide.

One reality, regardless of which you pick: Coil accelerates its strongest leaders with leveraged ETFs at reduced notional. A 3x leveraged ETF triples the daily move — a ~10% move in its index is roughly ~30% in the ETF before gaps and slippage, and leveraged ETFs decay on multi-day holds. They can lose value rapidly, including total loss of the capital you commit. No AI platform or scored board removes that. Coil's structural stops and rule-based exits aim to reduce single-day damage — they cannot guarantee it, and stops can gap straight through a price.

The comparison

The questions that actually separate these two are not "which makes more money" — nobody can honestly promise that. They are about hosting, transparency, breadth, cost, and who is left holding the risk.

QuestionTickeronCoil
Where it runsHosted — you log into their platformScanner is hosted and read in your browser; Live is served over MCP to your own AI agent
DirectionLong and short signals across the platformLong-only by design — buys leaders, raises cash in weakness
BreadthBroad — many tickers, many AI agents/robots and screenersWhole-market scan — S&P 500 + Nasdaq-100 + a macro book — into one scored board
No-code accessYes — point-and-click dashboard, nothing to installScanner: yes, read the board in your browser. Live: no — you run your own AI agent and broker MCP
Can you read every ruleLargely no — the AI models are proprietaryThe method is written down, and per-name scorecards are published with every board
Can you check the backtestInside their tools onlyThe research backtest is published, point-in-time and survivorship-free, and the record is public
Adapts to your fillsProprietary models retrain on their servers, to their data — not to your account's resultsNo per-account tuning — one served rulebook, the same for every subscriber
Who holds your keysYou connect a brokerage; logic lives on their serversYou — Coil never holds accounts or keys
Cost modelRecurring subscriptionSubscription: Scanner $12/mo or $99/yr; Live $29/mo or $249/yr; cancel any time
Performance framingAdvertises large headline returns (their marketing claims)A survivorship-free research backtest with the honest rider attached, never live results
Who owns the riskYou — you hold the brokerage accountYou — you hold the keys, capital, and risk

Notice the last row is identical. In both models you are the account holder, and the leveraged-ETF total-loss risk is yours. That is true of every tool in this category, and anything implying otherwise is the thing to walk away from.

Transparency: marketing claims vs. a published board

This is the sharpest contrast. With Tickeron you receive an AI's output and a set of advertised statistics; the underlying models are proprietary, so you generally cannot read the exact rule that fired or independently re-derive a published win rate. With Coil, the scanner's scores, each name's components, and the READY/SETUP entry gates are on the published board, and the method is written down. The research backtest is point-in-time and survivorship-free, with delisted names included, and the record is public. That is exactly the kind of self-check opaque platforms can't offer you. And there's a difference no dashboard reveals: an opaque model retrains on the vendor's servers, to the vendor's data, while Coil's rule-set stays frozen and fingerprinted, with any change arriving only as a deliberately shipped, re-validated version. If self-tuning design interests you, the self-tuning vs. static bots explainer goes deeper.

Honesty about the numbers — with the rider attached

Where advertised returns lead with the best case, we attach the rider that keeps the number honest. Every figure below is a research backtest, never live or client results: point-in-time S&P membership, delisted names included, next-open fills, costs modeled, 2017 through 2026 H1. In it, the leadership-rotation backbone Coil's scoring is built on compounded +638% versus SPY's +282%, with a shallower worst drawdown (−23% vs −32%) and a positive result in 9 of 10 years (worst −1%, in 2018).

YearCoil (research)SPY
2017+17%+20%
2018−1%−7%
2019+7%+30%
2020+22%+19%
2021+6%+28%
2022+13%−16%
2023+10%+23%
2024+12%+27%
2025+51%+17%
2026 H1+86%+10%
Cumulative+638%+282%
Max drawdown−23%−32%

Now the mandatory rider, which we'd rather you heard from us than discovered later: through the end of 2025 the backbone ran roughly even with SPY, at about one-third less drawdown. The outperformance concentrates in leadership regimes — most of the gap is 2025 (+51%) and 2026 H1 (+86%). A survivorship-free decade that beats the index on far less drawdown is a real result; a strategy that can run merely even with the index for years at a time is the honest counterweight. We publish both on purpose, precisely because a single advertised hero number — from anyone — hides exactly this.

Read it as a hypothesis, not proof: these are research figures, not a live or client track record — the engine is newly live. Apply the same skepticism to any vendor's advertised win rate or return, including Tickeron's. Live, forward results matter more than any backtest or marketing screenshot. On days when nothing qualifies, the engine simply holds cash; any uncommitted cash earns whatever your broker's variable sweep pays (for example, Robinhood Gold quoted ~3.35% APY as of early 2026 — the broker's yield, variable, not paid by Coil, and not risk-free).

Cost model — two subscriptions against one

Tickeron, like most hosted AI platforms, is recurring by design: you pay to keep access to the dashboard, agents, and signals alive. Coil is a subscription too, so the cost comparison is not the point. The Scanner is $12/mo or $99/yr and Live is $29/mo or $249/yr, and either can be cancelled. What you are comparing is what the subscription buys: a published board, a written-down method, and a public record, against advertised hero numbers and proprietary models.

How to choose

If you want breadth, no-code convenience, and AI across many markets from a single hosted dashboard — and you're comfortable with proprietary models and a subscription — Tickeron is a reasonable, well-established fit. If instead you want one validated, readable board that scores the whole market, favors leaders only at real entries, never holds your keys, publishes its method and its record, and carries its honest rider rather than a hero number — that's the specific gap Coil is built for. They're built for different people, neither can promise a profit, and the leveraged-ETF risk belongs to you either way.

If you're weighing other options too, see Coil vs trading bots and signal services. When you've decided which kind of tool you are, the Scanner is $12/mo or $99/yr and Live is $29/mo or $249/yr.

A published board, not a hero number

The Scanner scores the whole market about every 5 minutes in market hours, with the method written down and the record public. You hold the keys, the capital, and the risk.

Read the board — from $12/mo

Coil Scanner is a hosted research tool; Coil Live serves the board to your own AI agent, which trades through your own brokerage account and capital. It is long-only and not investment advice, not a managed account, and not a signal service. Leveraged ETFs, where the engine uses them, can lose value rapidly, including total loss. All performance figures are research backtests — point-in-time and survivorship-free, not live or client returns; past performance does not predict future results. Coil is independent and not affiliated with Tickeron.