AI Perps
Leverage and perpetual futures, examined with AI.
What is AI trading?
AI trading means applying artificial intelligence — machine learning, natural-language processing, and data analysis — to examine markets, spot openings, and assist with placing and managing trades. Rather than a person manually scanning charts and clicking through screens, AI systems crunch huge volumes of data fast and either surface insights or carry out actions the user has approved.
Within crypto, AI trading covers a wide range: at one extreme, basic alerts and indicators; at the other, conversational systems where you state your intent in everyday language and the AI handles both the analysis and the mechanics. Quant lives at that conversational extreme — an AI crypto trading companion instead of a chart you have to interpret.
Why trading crypto the old way is so hard
- Too many tools. A charting app, an on-chain scanner, a sentiment tracker, a portfolio dashboard, a few wallets, and a cluster of chat groups — and not one of them talks to the others.
- Drowning in data. Thousands of tokens, nonstop social chatter, and macro headlines that might matter or might not.
- Execution lag. By the moment you have researched, bridged, and routed a trade, the setup has already shifted.
- Trading on feelings. Fear and greed push people into badly timed entries and exits.
What AI shifts
AI cannot erase market risk — nothing can — but it can shrink the gap between research and decision and cut down on avoidable errors.
How AI trading works
- Gathering data. On-chain flows, order-book depth, price history, social mood (X, Telegram, Reddit, Discord), news, and macro indicators.
- Analysis. Models hunt for patterns, momentum changes, anomalies, and correlations throughout that data.
- Scoring / synthesis. The system distills many signals into something a person can act on — for Quant, a 0–100 conviction score for each opportunity.
- Decision support. The user gets a clear read together with the reasoning behind it.
- Execution (user-approved). When you decide to act, the system routes the order — for Quant, across 25+ chains with smart routing.
- Monitoring. Positions, strategies, and alerts stay under continuous watch.
How AI sharpens the process
- Speed. Minutes of hand research shrink into one answer.
- Breadth. AI keeps watch over far more assets and sources than any person could.
- Consistency. Rules-driven automation never gets rattled by emotion.
- Clarity. Plain-language summaries take the place of cluttered dashboards.
- Accessibility. Newcomers can act on advanced analysis without first mastering every indicator.
Where Quant comes in
- Conversational trading. By text or voice — "buy," "sell," "swap," "rebalance."
- Market intelligence. Through dedicated AI agents scanning markets, news, sentiment, and narratives as they happen.
- Conviction scores. That blend several data sources into a single read.
- Portfolio intelligence. Complete with AI-guided rebalancing.
- Strategy automation. You describe it in plain language (DCA, take-profit, risk caps) and Quant keeps it running 24/7.
- Self-custody. With direct sign-off on every execution, across 25+ chains and 10,000+ assets.
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Mini-glossary
- Conviction score
- A single 0–100 read that synthesizes many signals.
- On-chain analytics
- Insight drawn from blockchain transaction data.
- Smart routing
- Splitting or redirecting an order across venues for a better fill.
- Slippage
- The gap between the price you expected and the price you got.
- Self-custody
- You hold your own private keys.
What is AI trading?
It is using artificial intelligence to study markets and assist your trading — software shoulders the heavy data work while you make the calls.
Is AI trading just a trading bot?
Not really. Old-school bots stick to fixed rules. Today's AI trading layers in analysis, natural-language interaction, and strategies that adapt. Quant is conversational — you talk with it.
Can AI trading guarantee profits?
No. AI can boost the speed, breadth, and consistency of your analysis, yet every trade carries risk, capital loss included. Distrust anything that promises guaranteed returns.
Do I need to know how to read charts?
No. With a conversational companion like Quant you say what you want in plain language; grasping indicators is a bonus, not a requirement.
Does AI place trades on its own without me?
In Quant, execution is user-approved — you confirm every action, and it stays self-custodial, so your keys never leave you.
Which blockchains and assets are supported?
Quant is multi-chain native across 25+ blockchains and 10,000+ assets, with smart routing.
Is my money safe with an AI trading companion?
Quant stays self-custodial and asks for direct approval on each execution. No tool can erase market risk, so always review your transactions.
How does AI trading differ from a robo-advisor?
Robo-advisors generally build and rebalance long-term portfolios on autopilot. An AI trading companion is interactive and real-time, supporting analysis, execution, and hands-on management.