The First $20M ARR in Agentic Trading Comes From Helping Traders Lose Less Money, Not Finding Alpha
$CDX
I think people underestimate how valuable it is to simply lose less money.
The common criticism of agentic trading is that unless an agent can discover secret signals and generate extraordinary returns, it has no value.
But with a slight reframe you get - How much money do traders already spend every year trying not to lose money?
TradingView subscriptions.
Custom indicators.
Order flow tools.
Discord groups.
Signal services.
Courses.
Mentorships.
Data feeds.
Exchange analytics.
Most of these products aren't selling alpha.
They're selling some combination of risk management, execution improvement, decision support, and trader confidence.
A serious perps trader can easily spend $200-$500/month before placing a trade.
But if you had a genuine money-printing alpha, why would you sell it? The best quant funds in the world don't sell their alpha. They use it themselves.
That's why I think many people are looking at agentic trading through the wrong lens. There are really two markets:
Helping traders lose less money.
Helping traders make more money.
The second is harder.
The first is enormous.
Most retail traders don't fail because they can't find opportunities.
They fail because they overtrade, size too aggressively, add to losers, hold losers too long, take profits too early, ignore correlation, or fail to recognize when market conditions have changed.
They're trying to solve a risk management problem disguised as an information problem.
Crypto derivatives traded more than $85T last year.
Hyperliquid alone has roughly 350k monthly active users.
The interesting part is what that means.
If just 1% of Hyperliquid's active users paid $100/month, on
@Cod3xOrg
that's already ~$4.2M ARR.
2% is ~$8.4M ARR.
3% is ~$12.6M ARR.
5% is ~$21M ARR.
And that's before Binance, Bybit, OKX, Bitget, Polymarket, Kalshi, or the rest of the market.
The reason this feels achievable is that the value proposition doesn't require magical intelligence.
It requires helping traders avoid mistakes.
One bad 20% drawdown on a $25k account costs $5k
One overleveraged trade can wipe out months of gains.
One failure to adapt to a regime shift can cost more than years of subscriptions.
If Cod3x helps traders size positions better, manage exposure, protect profits, reduce correlation risk, and avoid catastrophic mistakes, the ROI is obvious.
Then over time you get to the harder part:
Improving Sharpe.
Improving execution.
Finding new opportunities.
Generating alpha.
But you don't need to solve those problems first to build a meaningful business.
The first step is helping traders survive long enough to compound.
x.com/varrock/status/2064863…
Retail is going to lose so much money with AI trading/agentic trading.