No-code quant lab in the cloud · self-hosted execution

Is your edge real?
See for yourself.

Fast to

Ten dead strategies teach more than any course. You describe an idea as rules — entries, exits, filters — without a line of code, test it with fees, funding and slippage switched on, and launch only what survives.

7 days free · no card

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Backtest accuracy
<0.5%
gap between backtest and reality

You set commission yourself based on your exchange tier; funding recalculates every 8 hours; slippage depends on liquidity; the impact of order size on execution price is accounted for. The backtester core parameters are open for tuning.

Validation
4
ways a strategy has to prove itself: out-of-sample, Monte Carlo, trade clustering, cross-asset

Optimisation sees only part of the history and the rest is graded blind; then thousands of trade permutations and a run on other assets show where there is edge and where it just got lucky.

Self-custody
0
trades placed by the platform on your behalf

The platform only ever gets a read-only key. Your trading key stays on your own machine, where the open-source bot runs; we hold no funds and cannot withdraw anything.

AI agents
3
AI agents that tell you the truth

Bellatrix answers questions and reality-checks results on every page of the app. Rigel prototypes strategies fast, Betelgeuse researches them in depth — and says plainly when there is no edge.

An entry is not a strategy.

It is one step of eleven — the rest is how the trade is managed:

EntryStop-lossTake-profitsTrailing stopEarly exitBreak-evenSkip tradesDynamic risk

Any of them can be driven by an indicator.

And the loop doesn’t end at launch:

ResearchTradeLearnImprove

The Execution Log puts every live fill next to what the backtest expected, and what you learn goes into the next version of the rules.

Exchange connections

A direct API connection for market data and notifications. Trade orders are executed by a self-hosted app you run yourself — a Windows, macOS or Linux build on your computer, or Docker on a server.

Connected
Connected
Connected
Soon
Soon

KuCoin × Veskald: bonuses for traders

Veskald is an official KuCoin broker partner: use promo code VESKALD or our link when opening a KuCoin account. Until September 30, 2026 KuCoin adds a welcome campaign on top — complete KYC and make your first deposit within 14 days of signing up, and you get:

  • 100 USDT in trading-fee coupons for a first deposit of 50 USDT or more: 50 USDT for spot and 50 USDT for futures
  • Up to 450 USDT in extra rewards as your trading volume grows — fee coupons, an interest-free coupon and futures trial funds
  • 5% of your trading fees back as cashback for 30 days, credited the next day — also for existing KuCoin accounts that trade through the Veskald bot
  • From Veskald: 1 month of the Trader plan free for KuCoin users — promo code KUCOIN, applied automatically when you sign up with the Veskald button
Create a KuCoin account with code VESKALDCreate a Veskald account with code KUCOIN

The code activates after you confirm your email. Already have a Veskald account? Enter KUCOIN in the app, in the Subscription section.

The bonuses are part of a KuCoin campaign that runs from August 31 to September 30, 2026 (starts and ends at 16:00 UTC). They follow the terms of the KuCoin campaign — cashback applies to VIP0–VIP4 accounts; amounts and conditions may change on KuCoin's side.

Four subscriptions, or one lab.

Backtest framework, optimizer, bot service, journal — each with its own bill and no shared context between them. Here it is one workspace.

TradingView
Idea
Typical stack
separate subscription each
$Backtest framework
$Optimizer
$Algo bot service
$Trading journal

Start free. Pay when you see what works.

Monthly
Yearly-15%
Free
$0
Trader
$42.5
Pro
$127.5
Custom
Unlimited
TraderFor an active trader with 2–5 strategies
Build StrategiesA complete trading system — built with your mouse, zero code.
10
Multi-timeframe entry conditions, stop-loss, multiple take-profits, trailing stop, early exit, move to break-even, dynamic risk management and trade-skip rules. Progress saves at every step.
BacktestingCommissions, slippage and funding priced in. 20 metrics.
On perps, funding alone can eat the whole profit — here it is part of every simulated trade. Side-by-side comparison and an Out-of-Sample period separate real edge from a lucky streak.
Monte Carlo5,000 scenarios — drawdown odds known before you enter the market.
The stress test shows how robust the strategy is and the probability of losses in live trading.
Cluster AnalysisThe system tells you when to run the strategy — and when to switch it off.
Breakdown by volatility, trend, volume, momentum and trading session: the exact conditions where the strategy earns and where it loses, with concrete recommendations for improvement.
ExploreGenetic optimization tuned for smooth equity growth, not peak profit.
250 combinations
Sweeps combinations of entries, stops, take-profits, break-even moves, early exits and skip rules. The out-of-sample split keeps the strategy from memorizing history.
Market ReportThe market scanned 24/7 across four timeframes.
Technical indicators and their complex variations (divergences, slopes); AI reads the news and aligns it with the chart by release time; liquidity, the dollar index, inflation and the U.S. economy; an extended order book with filtering.
AI AgentsThree AI agents — an honest read on what works.
Rigel +1 agent
Bellatrix answers questions about the platform, your strategies and trading. Rigel drafts strategy prototypes fast. Betelgeuse runs the full cycle: it builds strategies grounded in the knowledge base. Bellatrix from Free; Rigel from Trader; Betelgeuse on Pro.
Manage RiskPosition size calculated by the system — from your risk.
Risk is configured per strategy; the potential loss is known before you enter the trade.
Manage TimeTrading on your schedule — or 24/7.
Days of the week and hours are set for each strategy individually.
TradeYour trading keys stay with you — we never see them, in any mode.
5 live strategies
Assistant: read-only keys, prompts via Telegram, email or browser — when to move a stop, take profit or react to the news. Automatic: an open-source app on your own computer (Windows / macOS / Linux) or a server, where a single command does the whole setup (Docker, from $4/mo). Any difficulty or question — we’ll help.
Execution ControlPlan, signal and fact — three records for every trade.
How the backtester ran the trade, what notifications were sent, and what was actually executed. If you deviated from the plan, you see whether it helped or hurt you.
Trade JournalCandle-by-candle replay of every trade.
On each candle: what happened, the indicator values and the news released at that moment. You see why a trade worked or failed.
Cross-Asset TestingOne logic, many assets — confirmed before launch.
The strategy is re-run across other coins to separate a working rule set from a coincidence on a single chart.
Strategy PortfolioOne strategy’s drawdown covered by another.
Combined equity curve, correlations between strategies, drawdown compensation — and each strategy’s real execution tracked individually.
Dedicated ServerMillions of combinations, no queues.
Optimization runs on a dedicated server at full speed; setup and configuration take up to three business days.
IndicatorsIndicators built exclusively for you.
Developed to your specification; available only to your account.

Your subscription grants access to software tools. Veskald does not provide investment services and does not guarantee trading results.

Frequently asked questions

Who is Veskald for?

Active traders who want to trade systematically, save their time and automate the routine work.

How often do updates ship?

Releases — 1–2 times a month. The roadmap is shaped together with active users, requests from tickets go into the work. The newest major addition — already live — is Veskald Orion, three AI strategy agents: Bellatrix (a global assistant on every page of the platform — answers any question about the product, your strategies, trading and your stats, and reality-checks existing strategies), Rigel (quick prototypes with pro safeguards), Betelgeuse (deep research in a dialogue with you — it asks rather than assumes, builds and validates the strategy, and digs until it finds durable edge — or tells you plainly the strategy is dead, instead of burning tokens).

Do I need to know how to code?

No. Everything works through the visual builder — you pick indicators and conditions from a menu. If you want to go deeper — there are AND/OR groupings and multi-timeframe rules. No code at any stage. Missing an indicator? Ask — we build it, and it becomes part of the platform for everyone.

Can Veskald lose or steal my money?

Technically — no, and by design. We only accept read-only API keys; any key that carries trading or withdrawal rights is rejected on submission and never stored. Even if you wanted to authorize us, you could not: on most exchanges a trading key only works from a whitelisted IP, and our servers sit behind Cloudflare with no public address to whitelist. And for automated execution the trading keys never reach us at all — they run inside the open-source bot on your own server.

Why is the genetic-algorithm optimizer better than my manual grid search?

Not "better" — complementary. By hand you will try 10–20 combinations. The algorithm goes through thousands. But the main thing is that it optimizes not for maximum profit (one lucky trade means nothing) but for the smoothness of the equity curve. That protects against the overfitting almost every self-made quant experiment falls into.

How accurate is your backtest?

On trades up to $300 the gap with real trading is under 0.5%. What is accounted for: commission (you set it yourself based on your exchange tier), funding every 8 hours, slippage from liquidity, and on large volumes the impact of order size on execution price. The backtest works with market orders, and — importantly — the backtester core is open: parameters can be tuned to your trading profile, you see exactly how each trade is calculated. You can compare expectation with reality in the Execution Log.

Who sees my strategies? Will you copy them?

Strategies are stored in the Veskald database — that’s what lets backtests and the optimizer run on our compute. If you want your logic unreadable, enable strategy encryption: a two-key scheme, your key + our key, either one useless on its own. Your key is never written to disk. An encrypted strategy cannot be decrypted without you — including by the Veskald team.

Which exchanges are supported?

Stable today: Binance, Bybit, Kraken, KuCoin. In development: OKX, Coinbase. If you need another exchange (Bitget, BingX, Hyperliquid, dYdX and others) — write to us, we usually ship it in 1–3 weeks.

What are strategy templates?

A saved strategy you can use as a starting point. Take a ready template from the library or save one of your own. When you build a new strategy on top of a template, you work with a copy — the original stays intact. Experiment without fear of breaking what works. The public library is strategies we research and publish ourselves — the logic is fully open: verify it, change it, make it yours.

Where is my data stored?

On servers in the EU (Hetzner, Germany). GDPR applies in full — details are in the Privacy Policy. Strategy encryption with a two-key scheme is available for your trading logic; exchange trading keys are not passed to Veskald at all.

Can I integrate Veskald with my own systems, or am I locked in?

No lock-in. On the Trader plan and above, every strategy emits real-time events over a WebSocket: you register your IP, get an IP-bound token, and our backend streams events straight to your endpoint — build any execution system of your own on top of Veskald. Alternatively, automated execution runs through an open-source bot you host yourself. Trading keys never reach us either way. Integration options for teams are on the B2B page.

Can I check a strategy I bought somewhere?

Yes: rebuild its rules in the visual builder — most sold strategies are a handful of conditions — then run the full validation: honest costs, IS/OOS split, Monte Carlo, cross-asset test. You’ll see what it’s actually made of. Bellatrix will walk you through the results.

Do you use my strategies or backtests to train your AI or build your own strategies?

No. The public template library comes from our own research agent, which works around the clock on the platform side. It remembers every strategy it has ever built — the ones that survived and the ones that died — so it knows what not to repeat; it tunes on in-sample data and spends the out-of-sample run once, never iterating on it; we decide which of its strategies to publish, always with the logic open. Its knowledge base takes in everything that clears a basic sanity check, profitable or not: what failed is worth as much as what worked, and a base built from survivors alone would teach survivorship bias. Betelgeuse is a different agent with a different job: it researches together with you, inside your account, reading the same knowledge base — it writes nothing back to it. Your strategies play no part in any of this: they belong to you, not to us, and the platform touches them for one reason only — running the service for you: backtests, optimization, launch. Turn on encryption, and no one can read them without your key — including us.

Is there a walk-forward test?

No. Validation is an in-sample / out-of-sample split with an untouched holdout, a cross-asset run on up to 4 other assets with their own date windows, Monte Carlo (trade permutation) and bootstrap. The optimizer splits in-sample / out-of-sample itself and targets a smooth equity curve rather than the peak.

Can I add my own indicator?

Not as a script: strategy logic here is rules, not code or a model, so every strategy stays readable and testable. If an indicator you need is missing, ask — we build it, and it becomes a regular indicator of the platform for everyone. 100+ indicators today: trend, momentum, volatility, volume, candle patterns. Your own code lives after the signal: the bot is open source and runs on your machine, so you can filter its signals with any model of yours or replace the bot with your own executor.

“The project works well with the market and helps build a flexible strategy for futures trading in the crypto market. As for the downsides, I would mention the interface — at first, it does not seem very clear, so it takes some time to figure it out. But overall, the project left a positive impression.”

Igor Masik · Trustpilot

“The platform is new but already offers features that are hard to find on similar resources. + Everything in one place, a trial, flexible customization and AI. - It’s a young startup. I liked it and have started using it.”

Ivan · Trustpilot

“Nie przypuszczałem, że kiedykolwiek w życiu będę mógł skalować swoje pomysły z jednego miejsca na różne platformy tradingowe i mieć przy tym tak wysoki poziom kontroli. Polecam!”

Kacper Gugała · Trustpilot

Build your first strategy — 7 days free, no card

Build a strategy with your mouse, test it on real data — and get the answer: launch it, or kill it in an evening, before it costs you money.

Try for free

No bank card required

Risk Disclosure

Trading crypto-asset derivatives, including perpetual futures, involves substantial risk of loss and is not suitable for every market participant. Veskald provides software tools for building, testing and executing trading strategies — this is not investment advice, not asset management, and not a guarantee of trading results. Past backtest performance does not predict future returns.