About Kiploks

About

Kiploks Robustness Engine - Trading Bot & Strategy Survivability - Capital Risk Analysis. We help you stress-test, validate, and reject fragile trading bots and strategies before execution.

Kiploks is two things: an open source engine you can run yourself, and a hosted service on kiploks.com that runs on the same math. Both are described below.

Backtests show performance. Kiploks shows whether your trading bot can survive.

Open source

The engine

The analysis core is published under an open license. Developers can install scoped packages from npm, read the code on GitHub, and run the same robustness and walk-forward logic on their own hardware or inside their own systems. Nothing is hidden in a black box: if you can reproduce inputs and versions, you can reason about the output.

How the hosted site and the open engine differ

Same core idea, different packaging. Use the table to see what you get when you use the product in the browser versus when you wire up the packages yourself.

Core analytics (robustness, walk-forward, benchmarks)

kiploks.com

Same engine packages as the hosted product

Open engine (npm)

Full source; run on your machine or inside your stack

Full report UI

kiploks.com

Included in the product

Open engine (npm)

You build a UI or consume JSON from the packages

Accounts, API keys, and usage limits

kiploks.com

Included

Open engine (npm)

Not included (you add your own auth if needed)

Hosted storage and run history

kiploks.com

Included

Open engine (npm)

Your files or your database

Integrations (e.g. Freqtrade, OctoBot)

kiploks.com

Guided upload and parity checks

Open engine (npm)

CLI and scripts; same math with your pipeline

Final verdict and full report assembly

kiploks.com

Built server-side for complete reports

Open engine (npm)

Public APIs cover analysis; you host assembly if you want the full stack

Support

kiploks.com

Product support by plan

Open engine (npm)

Community (GitHub) under Apache 2.0

Full comparison page (same table with extra context).

Hosted product

Kiploks on kiploks.com

kiploks.com is the service built on that engine: accounts, the full report experience, hosted storage, API access, integrations, and product support. You sign in, upload or connect your strategy artifacts, and receive the survivability analysis and verdict in one place-without assembling servers and pipelines yourself.

Kiploks is NOT

• a signal generator

• an optimizer

• a backtest visualizer

Kiploks IS

• a survivability filter

• a capital protection layer

• a decision support system

If a trading bot or strategy fails here, it fails before real money.

Mission

We build tools for systematic traders, quant developers, and bot and backtest builders who need to validate strategies before capital deployment. The platform combines robustness analysis, walk-forward validation, parameter sensitivity, and a clear decision engine (ROBUST / CAUTION / DO NOT DEPLOY) so you can act on data, not hope.

Who it's for

Built for

Strategy development, testing, and deployment.

  • • Systematic traders
  • • Quant developers
  • • Small funds & prop desks
  • • Capital-aware professionals
  • • Bot and backtest builders

Not built for

  • • Signal sellers
  • • One-off backtesters
  • • "100% ROI" seekers

Company

Kiploks Robustness Engine is operated by Legram LLC (Private limited company (LLC)), registered in Latvia.

Company name:
Legram LLC
Registered legal name (Latvia):
SIA "Legram"
Legal form:
Private limited company (LLC)
Registration no.:
42403038625
VAT:
LV42403038625
Location:
Salnas 5, Rīga, LV-1021, Latvia
Contact:
kiploksautomation@gmail.com

Get started

Use the hosted product with an account, or explore the open engine getting started guide if you prefer npm and your own stack.

Social

Follow Kiploks for updates, technical articles, and open-source projects.

  • GitHub - Open engine (kiploks/engine), integrations, and other public repositories.
  • npm - Scoped @kiploks packages on the npm registry.
  • X (Twitter) - Product updates and strategy robustness news.
  • Medium - Articles on walk-forward analysis, survivability, and deployment readiness.
  • dev.to - Technical posts for quant developers and bot builders.

Contact

For privacy-related requests or questions, contact the data controller using the Company details above.

We will respond within a reasonable time.