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VESKALD

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★ 1 • Updated Jun 30, 2026, 02:29 PM

VESKALD is a no-code quantitative cryptocurrency trading strategy laboratory that consolidates the entire strategy lifecycle—from idea to live execution—into a single web platform.

Use Cases ▼
01

Create and backtest crypto trading strategies without coding

02

Optimize strategy parameters using genetic algorithms to avoid overfitting

03

Automate trade execution while keeping API keys secure via self-hosted bridge

04

Receive real-time trade alerts through Telegram, email, or browser push

05

Maintain a comprehensive trade journal and performance log

06

Leverage AI agents for market analysis and decision support

07

Explore preset strategies and customize them for personal use

What Problem It Solves ▼

Crypto traders typically rely on disjointed tools for strategy development, backtesting, optimization, execution, and journaling, leading to fragmented workflows, higher costs, and potential data gaps. VESKALD unifies these functions in a single no-code platform with realistic backtesting and self-hosted execution, reducing complexity and improving strategy reliability.

Key Features ▼
✓

All-in-one platform replaces multiple tools

✓

Realistic backtesting with low simulation error

✓

Self-hosted execution keeps API keys private

✓

No-code visual strategy builder with many indicators

✓

Free tier available for testing

Overview

VESKALD is a no-code quantitative cryptocurrency trading strategy laboratory that consolidates the entire strategy lifecycle—from idea to live execution—into a single web platform. It replaces the need for multiple subscriptions to separate tools like TradingView, backtesting frameworks, automated bot services, and trading journals. Users can visually construct strategies using over 70 indicators and candlestick patterns, define entry and exit conditions with complex logic, and set dynamic risk management rules across ten guided steps. The built-in backtester simulates realistic trading conditions by accounting for commissions, funding rates, slippage, and order size impact, achieving a claimed gap of less than 0.5% between backtest and reality. A genetic algorithm optimizer refines parameters while avoiding overfitting through in-sample/out-of-sample splits, and a Monte Carlo stress test evaluates strategy resilience. Once validated, strategies can be deployed in assistant mode (notifications via Telegram, email, or push) or fully automated mode via an open-source execution bridge that runs locally on Windows, macOS, Linux, or Docker, ensuring API keys remain private. The platform also includes a trade journal and execution log, a shared preset library, and three AI agents for further automation and analysis. VESKALD offers a free tier with no card required and encrypts user strategies end-to-end.

Pros & Cons

Pros

+

All-in-one platform replaces multiple tools

+

Realistic backtesting with low simulation error

+

Self-hosted execution keeps API keys private

+

No-code visual strategy builder with many indicators

+

Free tier available for testing

Cons

−

Limited to cryptocurrency markets only

−

No-code may limit very advanced custom logic

−

Dependency on the platform for strategy management

−

Self-hosting execution requires technical setup

−

Newer platform with less community trust

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