AI trading agents, no-loss predictions, DeFi strategies, and the mechanics of autonomous crypto trading.
A pre-flight checklist for anyone about to put real money behind an automated strategy. Seven checks, all of which you can do before funding anything, and most of which take a minute.
We checked every live trade our agents closed over six months. In 80% of losing trades the realised loss was worse than the stop allowed. Here is why that happens, what we found when we instrumented it, and what we changed.
Win rate is the number every dashboard shows and the least useful one. Here are the four measures that actually tell you whether an automated strategy is working, and how to compute them yourself.
An agent that has gone quiet is usually working correctly. Here are the six gates that stop an automated strategy entering a trade, in the order to check them, and how to tell a healthy pause from a real problem.
Prediction market arbitrage looks like free money and mostly is not, because the fixed costs are charged per entry while the edge is charged per dollar. Here is the arithmetic that decides whether the trade is worth taking.
The honest answer is not a marketing number. It comes from position sizing, gas reserves and fee drag. Here is the arithmetic that decides whether an agent can trade its strategy properly or is starved before it starts.
A walk through the actual decision path of an automated memecoin strategy — the signals it scans, the gates that stop it trading, and why a well-built sniper spends most of its time doing nothing.
QWNT is integrating Sera's stablecoin FX rails into a new agent strategy: simulation first, external-signer live execution next, and a smarter way for users to put idle stablecoins to work.
You don’t need to figure out everything on day one. Follow this 30-day plan to go from zero to a stable, battle-tested agent setup.
Setting agents live is step one. The real edge comes from how you monitor, review, and iterate on them over time.
Perps on Drift are built for speed. AI agents let you run structured strategies on top — funding farms, trend systems, and hedges that never sleep.
Onchain data is alpha only if you can process and react to it in time. AI agents bridge the gap between raw signals and real positions.
Hundreds of manual trades across chains are a tax nightmare. AI agents can centralize and structure your activity, making reporting far less painful.
You know the levels. You know the system. But when price finally moves, emotions take over. AI agents stop you from sabotaging your own breakouts.
Running one AI agent is easy. Running a fleet with real size is an operational job. Here’s how to scale like a desk, not a degen.
A clean UI is not a risk framework. Here’s how to test, validate, and size AI agents before you ever send real funds on-chain.
Your risk rules look great in Notion. In the heat of the market, they mysteriously disappear. AI agents can enforce the plan you keep overriding.
Funding rate edge dies when you miss windows or mismanage hedges. AI agents can keep you market-neutral and on-schedule, 24/7.
Every active trader has a morning checklist. QWNT lets you move half of it into AI agents, so you can spend your energy on decisions — not catching up.
You don’t need to be a coder to automate your trading. If you can describe your playbook, you can turn it into a live AI agent on QWNT.
Latency, fees, liquidity, and tooling all change how agents perform. See how Solana and EVM compare when you deploy automated strategies.
Some strategies are structurally hostile to manual traders. If you're running these plays without automation, you're donating edge.
AI agents don’t blow up accounts. Bad risk frameworks do. Learn how serious traders structure sizing, limits, and kill switches for automated strategies.
Airdrop meta is now too fast and fragmented to farm manually. Learn how AI agents can automate wallets, flows, and on-chain actions across ecosystems.
Most traders still run basic bots. The edge has already moved to chain-aware, multi-strategy AI agents. Here’s what changed — and how to upgrade your stack.
AI agents remove emotion, eliminate sleep gaps, and execute faster than any human. But they're not magic. Here's an honest look at where they win — and where they still need you.
QWNT AI deploys autonomous agents across Solana and EVM chains. Here's what they actually do — and what sets them apart from basic trading bots.
Paper trading lets you run real strategies with real market data — without risking capital. Here's when to use it and when to make the switch to live.