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Insider Trading Experiment Summary

Jun 18, 2025

Overview

The speaker describes a 30-day experiment trading like an "insider" using blockchain analytics, resulting in substantial profits, and outlines the strategies and tools used, emphasizing the risks involved.

30-Day Insider Trading Experiment Results

  • Started with less than $5,000 and made over $20,000 through trading.
  • Did not trade for the full 30 days due to other commitments.
  • Also made $40,000 trading meme coins on a separate public wallet.
  • Shared trade records on Twitter for transparency.

Trading Strategies and Tools

  • Utilized perpetual futures with leverage for both long and short positions.
  • Emphasized that trading perpetual futures is risky and not recommended for most people.
  • Used blockchain analytics to track "smart money" movements (large/profitable traders).
  • Relied on tools like SoulScan and Stock Chain to monitor live transactions and holdings of major wallets.
  • Focused on identifying accumulation and selling by top holders as trade signals.
  • Prioritized trades where significant buying or selling pressure was detected in real time.
  • Set notifications for high-value orders (e.g., above $25,000) to spot actionable moves.

Example Trades and Analysis

  • Described specific trades with varying results (e.g., +85% on Jupe, +61% on Retardio, +78% on House Coin, losses on Warm and House).
  • Provided methodology for entering and exiting positions before major movements complete.
  • Highlighted both positive and negative trades to illustrate the approach's variability.

Insights and Warnings

  • Stressed that this strategy is labor-intensive and requires in-depth on-chain research.
  • Noted that access to some analytic functionalities requires paid tools.
  • Advised that "insider-style" trading has limited value for those with less than $1,000.
  • Warned repeatedly about the dangers of leveraged futures trading.

Recommendations / Advice

  • Trading based on on-chain analytics is complex and risky, and not suitable for everyone.
  • It is important to thoroughly learn about on-chain analysis before attempting similar strategies.
  • Only use paid tools and advanced methods if truly committed and understand the associated risks.