Crypto Futures Research Infrastructure Short deck

Crypto Futures Strategy Validation Platform

A controlled workflow for turning strategy ideas into reproducible evidence, risk gates, and paper/live validation checks before any real trading decision.

Prepared for a first fit check No financial guarantees. No investment advice.
Problem 01

The bottleneck is not more trade ideas. It is defensible evidence.

Overfit risk

Backtests can look attractive while depending on fragile parameters, incomplete data, or unrealistic fills.

Execution realism

Fees, slippage, funding, margin overlap, delayed exits, and stale loops can erase a paper edge.

Promotion discipline

Teams need a repeatable way to reject weak candidates and document why a strategy should stay paper-only.

Designed for systematic crypto research and trading-infra teams 02 / 08
Offer 02

What we are offering

A research operating system for crypto futures strategy discovery, validation, and controlled paper/live comparison.

Research outputs

  • Backtest and replay artifacts
  • Candidate and rejected-strategy reports
  • Configs, summaries, trades, charts, manifests, and notes

Validation controls

  • Fees, slippage, drawdown, capacity, margin, and stale-loop checks
  • Paper validation plans
  • Human-gated promotion decisions
Not a signal group, managed account, or return-promise product 03 / 08
Workflow 03

How a strategy moves through the system

1
Universe Select market, exchange, symbols, timeframes, and data policy.
2
Hypothesis Define rules, sizing, exits, veto filters, and constraints.
3
Backtest Run deterministic tests on cached market data.
4
Stress Model fees, slippage, margin overlap, drawdown, and stale data.
5
Paper run Compare strategy behavior with live market polling and sessions.
6
Gate Promote, freeze, revise, or reject with an audit trail.
Each step should leave reproducible artifacts, not just screenshots 04 / 08
Demo 04

Current technical demo

The current site is a working validation dashboard, not a polished marketing page. It compares historical backtest output with live runner sessions and exposes PnL, margin usage, slippage, session status, and debug views.

http://vps2.happyuser.info:3000/backtest_live_validation
Use the deck for the offer; use the site as proof-of-work 05 / 08
Pilot 05

Suggested first pilot

Scope

4-8 weeks around a defined CEX/crypto futures universe and a small set of strategy hypotheses or research questions.

Inputs

Public or approved historical data, agreed assumptions, risk constraints, and a technical evaluation owner.

Outputs

Evidence package, rejected candidates, risk report, paper validation plan, and integration recommendation.

Success criteria: evidence quality, reproducibility, risk clarity, and fit 06 / 08
Boundaries 06

What this is, and what it is not

This is

  • Research automation for crypto futures strategies
  • Backtest and replay infrastructure
  • Risk-gated paper/live validation workflow
  • A way to make go/no-go decisions more auditable

This is not

  • A guaranteed-return bot
  • A signal subscription
  • Investment advice or managed trading
  • Custody, private keys, or live trading authority
First evaluation can stay paper-only and data-bounded 07 / 08
Fit Check 07

Who this is useful for

Crypto funds Prop trading teams Market makers Systematic traders Exchanges Trading analytics platforms Fintech product teams Quant tooling companies
The useful question for a first call: would a reproducible evidence package help your team make better research, product, or risk decisions?

Suggested next step

15 minute walkthrough, then decide whether a bounded pilot around a defined asset universe is worth scoping.

Contact: Taras Prystavskyj 08 / 08