# Why Invest With Kvants

Traditional **“buy‑and‑hold”** portfolios expose investors to extreme volatility and, in the long‑tail of crypto assets, a negative expected value (EV) over multi‑year horizons. Most alt‑coins exhibit large downside skews and “legacy risk” (projects that fade to irrelevance), meaning that holding them for prolonged periods is an implicit bet against attrition. Beta is cheap, but the drawdowns are expensive.

Kvants was founded on the belief that risk should be taken only when the odds are in the investor’s favour. Rather than rely on passive appreciation, we deploy quantitative algorithms that enter each trade only when the model projects a positive EV (Expected Value) and a clearly‑defined edge. Alpha extraction is explicitly encoded into each of our strategies. Be it a funding‑rate premium, a statistical spread, or a volatility mis‑pricing and harvested in a market‑neutral framework designed to minimise the market’s volatility while capturing its inefficiencies and mispricing to generate returns.

Kvants objective is to convert crypto volatility into predictable, risk-adjusted returns while leaving custody in the hands of the investor.<br>

1. **Deliver statistically positive strategies.** Only algorithms with a demonstrable edge and controlled drawdowns are listed on the platform.<br>
2. **Stay non-custodial.** Clients link exchange APIs or deposit into audited smart-contract vaults; Kvants never takes possession of underlying funds.<br>
3. **Bridge CeFi execution with DeFi transparency.** High-speed order-book trading is paired with on-chain accounting so performance can be verified in real time.<br>
4. **Align incentives through $KVAI.** A share of net trading revenue funds token buybacks and staking rewards, tying long-term token value to actual strategy profitability.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://kvants.gitbook.io/kvants-whitepaper-1/kvants/why-invest-with-kvants.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
