Learn more about SWEAT team

SWEATPublished on 2022-08-09Last updated on 2022-08-19

Abstract

Learn more about SWEAT team

Oleg Fomenko, Co-Founder: He has Held a wealth of strategic Roles and focus on Behavioural change at BT, Visa, CocaCola, Pepsi, BCG & Sweatcoin.

Anton Deralykta, Co Founder: Previously, founding CEO of a VC focused on Health Tech, Talent Tech and Future of Work while managing senior roles at Reebok, Kearney, Ward Howell, Pepsi & Sweatcoin. Egor Khmelev CTO & Co-Founder: Co-founded a number of successful technology businesses in Moscow.

Henry Child, Chief Crypto Officer: worked several years with Bitfinex and Tether.

Jessica Butcher, Chief Marketing Officer: Technology entrepreneur, angel investor, advisor and NED with a demonstrable track record of launching and scaling businesses for 20 years. Co-founded award-winning businesses that have raised over $150M cumulatively.

Related Reads

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

marsbit2h ago

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

marsbit2h ago

Trading

Spot
Futures
活动图片