◆SOL/USD——◆BTC/USD——◆ETH/USD——◆JUP/USD——◆BNB/USD——◆ARB-BOT-07+$1,240.21◆GRID-STP-04+$450.00◆MKT-NEUTRAL-01-$12.40◆SNIPER-03+$880.00◆SOL/USD——◆BTC/USD——◆ETH/USD——◆JUP/USD——◆BNB/USD——◆ARB-BOT-07+$1,240.21◆GRID-STP-04+$450.00◆MKT-NEUTRAL-01-$12.40◆SNIPER-03+$880.00

Strategy modules

DeFi AI trading strategies

Rather than one bot doing everything, Qwnt runs strategy-specific agents. Each module targets a different market condition, carries its own risk parameters, and hands every open position to a shared enforcement layer.

Deploy Your AgentView Markets

The modules and what they target

Different market conditions reward different behaviour. A momentum strategy that works while capital is rotating gets chopped up in a ranging market, and a yield strategy that earns steadily in calm conditions is overwhelmed by volatility.

  • Meme Sniper — early momentum on newly launched tokens, high risk
  • Trend Trader — moving-average momentum in trending conditions
  • Yield Optimizer — yield allocation in ranging, low-volatility conditions
  • Prediction Market Arbitrage — defined-outcome pricing gaps on binary markets

One enforcement layer across all of them

Entry logic and exit logic fail in opposite ways. A scanner that stalls costs you an opportunity; a risk layer that stalls costs you capital. Every open position is therefore monitored by a separate layer that holds the stop-loss and take-profit independently of whichever module opened it.

  • Stop-loss and take-profit enforced centrally
  • Position and capital limits applied per agent
  • Exit monitoring runs on its own cycle

Paper first, then live

Every strategy can be run in paper mode against live market data before any capital is committed. Paper mode shows how often a strategy finds qualifying opportunities and how it behaves across regimes, which is usually more informative than its headline return.

  • Live market data, simulated execution
  • Observe frequency and behaviour before funding
  • Live trading executes on-chain through integrated venues

Frequently asked questions

What is a DeFi AI trading strategy?

An automated strategy module that monitors on-chain and market data, applies entry criteria, and executes trades through decentralised venues when its conditions and risk rules are met. Each module targets a specific market condition rather than trying to trade everything.

Why run several strategies instead of one?

Because market conditions change and no single approach suits all of them. Momentum strategies need trends, yield strategies need calm, and arbitrage needs mispricings. Running strategy-specific agents lets each one decline to trade when conditions do not suit it.

Do these strategies guarantee returns?

No. All of them can lose money, and some are high risk by design. They automate a defined process with explicit risk parameters; they do not remove market risk or guarantee any outcome.

Which strategy should a beginner start with?

Start in paper mode with a low-risk module such as Trend Trader, and observe it across more than one market condition before committing capital. High-volatility strategies like Meme Sniper are not a reasonable starting point for a first live allocation.

Are all strategy modules available in both paper and live mode?

Most are, but not all. Some modules are available in live mode only, because simulating their execution faithfully is difficult and a misleading simulation is worse than none. The strategy selection screen shows current availability.

Trading digital assets involves risk. Qwnt AI does not guarantee profits, and strategy performance can change with market conditions. Start with paper trading and review risk controls before using live capital.