Unlimited backtests / Unlimited walk-forward & Monte Carlo
FAQ
Short answers before you start
Keep the homepage FAQ focused on fit, no-code use, and risk posture.
What is Vantixs and how does it work?
Vantixs is the official no-code trading strategy validation workspace at vantixs.com. It helps you turn a trading idea into visible rules, connect indicators and risk controls on a canvas, run backtests, paper trade the workflow, and decide whether the strategy deserves a next step before real capital is involved.
Do I need coding skills for algorithmic trading on Vantixs?
No coding skill is required for the core Vantixs workflow. You can start from templates or build visually with nodes for data, indicators, conditions, entries, exits, and risk. Experienced traders can still customize the structure, but the first path is designed for users who do not want to write Pine Script, Python, or exchange-integration code.
What cryptocurrency exchanges are supported?
Vantixs is built around a multi-exchange workflow using a unified API layer. The docs reference major crypto exchanges such as Binance, Coinbase, Kraken, Bybit, OKX, KuCoin, Bitget, and Gate.io. Exchange support should still be checked in the product before deployment because market type, region, and API permission details can vary.
Is my exchange API key secure on the platform?
Vantixs is designed around scoped exchange credentials and a validation-first rollout. API keys should be trade-only, withdrawal permission should stay disabled, and risk controls should be tested in backtesting and paper trading before any real-capital workflow. The platform focuses on keeping credential setup, sizing, drawdown limits, and review steps visible.
How does the Rust-powered backtesting engine help me?
The Rust-powered backtesting engine helps you test more ideas faster before spending weeks in paper trading. It is designed for high-throughput historical simulation, fee and slippage assumptions, drawdown review, and robustness checks such as walk-forward or Monte Carlo style analysis. A passing backtest is not a profit promise; it is a filter for weak ideas.
Can I use machine learning in my trading strategies?
Vantixs can support ML-style workflow inputs where the product exposes them, but machine learning should be treated as research input rather than a shortcut to live trading. Any model-driven signal still needs the same validation ladder: historical testing, cost assumptions, paper trading, risk controls, and review before real capital.
Can I publish trading bots on the marketplace?
Marketplace publishing depends on the current product policy and availability. The safer assumption is that Vantixs first helps you build and validate a strategy for your own workflow. If marketplace features are available, creators should expect additional review, disclosure, and risk controls rather than treating published bots as guaranteed outcomes.
