Independent · self-published · negative results included

Karaptic
Research

Independent research on cryptocurrency markets, market structure, and systematic trading. Founded by Oleg Arefev — Chief Visionary Officer, Partner at Legal Kornet.

Flagship research log: Searching for Edge — testing published trading strategies (momentum, trend, carry, reversal, grid) against real Binance data. Each note follows the same pipeline: literature review → replication → gross → net-of-costs → verdict. Closed and negative results are published alongside positive ones.

A road disappearing into a tropical landscape
Searching for edgeWhere the reachable result matters
QUANTITATIVE FINANCE MARKET MICROSTRUCTURE BINANCE BACKTESTING NEGATIVE RESULTS QUANTITATIVE FINANCE MARKET MICROSTRUCTURE BINANCE BACKTESTING NEGATIVE RESULTS

01 / Published work

Research
notes

Published claims are reconstructed, replicated where possible, priced at realistic execution costs, and given a verdict.

01
publishedliterature-based

The Grid Bot Illusion

Asks whether grid trading produces an independent trading edge, or whether its returns come from market exposure, execution economics, and market-making infrastructure. Chen, Chen & Jang derive analytically that, under a symmetric random walk, a classical grid's expected profit is zero before costs.

Read note
02
publishedempirically tested

Momentum: Evidence from a Binance Replication

Tests whether a cross-sectional momentum spread survives on Binance USDⓈ-M perpetuals net of realistic costs, not just in an academic backtest. Liu, Tsyvinski & Wu document momentum as statistically significant across a broad crypto sample; Starkiller Capital's practitioner backtest beat the market in relative terms through the 2021–2022 bear market without an absolute profit, and named a 125-basis-point cost threshold that kills the effect.

Read note
All seven notes

02 / Labs

Built before
the paper.

Klines is an event-detection system for Binance, built out of months of minute-by-minute replay and case-by-case review of volume spikes.

Detection, tiering, and a short monitoring window are automated. The decision to size into a specific trade remains manual. It currently runs in paper execution.

Enter Klines lab

03 / Field notes

Blog

A home for shorter essays, methodology updates, and observations that do not need to become a full research note.

Journal is openFirst entries are being prepared.Open blog →