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Last updated: 2026-05-19
Blackperp publishes signals, zone analyses, news summaries, academy articles, and AI-assisted commentary on a Your-Money-Your-Life (YMYL) topic: cryptocurrency perpetual futures. This document explains how that content is produced, who is responsible, what role AI plays, and how we handle accuracy and corrections.
We make institutional-grade derivatives analytics — order flow, liquidation data, funding rates, smart money positioning, multi-exchange aggregates — accessible to independent traders. Our editorial output exists to explain what the data shows, not to promote any specific trade, asset, exchange, or counterparty.
Editorial direction is provided by Mike, founder of Blackperp — a crypto derivatives trader turned builder. He founded Blackperp as an AI-powered signal engine that synthesizes 173 signals across 25 categories into directional bias, confidence scores, and ranked entry zones for crypto perpetual futures.
Articles and signal descriptions tagged "Blackperp Research" are written under this direction. Content discussing specific algorithms, signal methodology, or zone construction reflects the published codebase and is verifiable against the methodology section of About.
We do not currently have a multi-author editorial team. As the team grows, individual authors will be credited by name with linked author bios.
We use large language models (currently Anthropic Claude via OpenRouter) for the following editorial tasks, in line with Google's guidance on AI-generated content:
AI is not used to fabricate signals, manipulate metrics, or generate fake trading track records. Signal output is produced by deterministic algorithms operating on real market data — not by an LLM.
Limitations of AI output (hallucinations, outdated facts, inconsistency) are disclosed in our Risk Disclosure §5 and in the Terms of Service §8.
Market data is aggregated from 11 primary feeds across exchanges, derivatives venues, on-chain explorers, and macro APIs (full list on About). News articles are sourced from 50 RSS feeds across 6 tiers of crypto and financial media; the original source is always credited and linked with rel="nofollow noopener noreferrer".
Academy articles cite the underlying methodology or paper where applicable. Signal pages reference the specific data feed and computation used.
Blackperp is funded by subscription revenue from our Core, Pro, and Black tiers, plus optional credit top-up purchases. We do not accept:
If we ever take on advertising or affiliate revenue, it will be clearly labelled inline, separated from editorial output, and disclosed here.
We aim for factual accuracy. When we identify a material error — incorrect price, wrong exchange behaviour, misstated regulatory fact, hallucinated AI claim — we will:
dateModified timestampTo report a factual error, email [email protected] with the URL and a short description. We aim to acknowledge corrections within 48 hours.
We publish backtest and live-simulation metrics for our signal engine (win rate, average MFE/MAE, R:R, by-mode performance). These metrics:
We disclose known methodological issues (e.g., R:R rounding, win definition changes) in our changelog and in CLAUDE.md commits. Past simulated performance does not guarantee future returns — see Risk Disclosure §4.
Blackperp staff may personally hold or trade cryptocurrencies discussed on the Service. We do not publish content with the intent of moving prices in a direction that benefits a personal position. We do not pre-trade ahead of published content.
If a material personal holding could influence a piece of editorial content, we will disclose the conflict inline.
Corrections: [email protected]
Editorial: [email protected]
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