💸 Bots Steal $47M/Month from Retail

Every trade you make feeds the bots. Here's the shocking data on how much they're stealing from you.

YOUR MONEY IS BEING STOLEN

While you read this, bots are extracting $32,000 from retail traders every 10 minutes. That's $1,920,000 today alone.

💔 The $564 Million Annual Theft

<p style="font-size: 1.25rem; color: #9ca3af; margin-bottom: 1.5rem"> Every single day, bots extract $1.5 million from retail investors on Solana alone. This isn't trading - it's systematic theft enabled by current market structure. </p> <div style="border: 1px solid; border-color: #ef4444; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <h3 style="font-size: 1.5rem; font-weight: 700; color: #ef4444; margin-bottom: 1rem">🚨 THE RETAIL MASSACRE BY THE NUMBERS</h3> <div style="display: grid; grid-template-columns: repeat(1, minmax(0, 1fr)); gap: 1rem"> <div> <div style="font-size: 1.875rem; font-weight: 700; color: #ef4444">$47M</div> <div style="color: #9ca3af">Monthly extraction from retail</div> </div> <div> <div style="font-size: 1.875rem; font-weight: 700; color: #ef4444">$1.5M</div> <div style="color: #9ca3af">Daily bot profits from retail</div> </div> <div> <div style="font-size: 1.875rem; font-weight: 700; color: #ef4444">87%</div> <div style="color: #9ca3af">Retail traders lose money</div> </div> <div> <div style="font-size: 1.875rem; font-weight: 700; color: #ef4444">12 seconds</div> <div style="color: #9ca3af">Average time to lose 50%</div> </div> </div> </div> <h3 style="font-size: 1.5rem; font-weight: 700; color: #a855f7; margin-bottom: 1.5rem">How Bots Extract Value: The 5 Methods</h3> <div style="margin-bottom: 2rem"> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #fb923c; margin-bottom: 0.75rem">1. Front-Running ($18M/month)</h4> <p style="color: #9ca3af; margin-bottom: 0.75rem"> Bots see your transaction in the mempool and buy before you, instantly raising the price. </p> <div style="background: #0d0d0d; border-radius: 0.5rem; padding: 1rem"> <div style="font-size: 0.875rem"> Your intended buy: 100 SOL at $0.001<br/> Bot front-runs: Buys at $0.001<br/> Your actual buy: Forced to buy at $0.0015<br/> <span style="color: #ef4444">Your instant loss: -50% ($50)</span> </div> </div> </div> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #fb923c; margin-bottom: 0.75rem">2. Sandwich Attacks ($12M/month)</h4> <p style="color: #9ca3af; margin-bottom: 0.75rem"> Bots place orders before AND after your trade, profiting from the price movement they create. </p> <div style="background: #0d0d0d; border-radius: 0.5rem; padding: 1rem"> <div style="font-size: 0.875rem"> Bot buys: 1000 tokens at $0.10<br/> Your buy: 100 tokens at $0.12 (inflated)<br/> Bot sells: 1000 tokens at $0.125<br/> <span style="color: #ef4444">Bot profit: $25 | Your loss: -20%</span> </div> </div> </div> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #fb923c; margin-bottom: 0.75rem">3. Liquidity Sniping ($9M/month)</h4> <p style="color: #9ca3af; margin-bottom: 0.75rem"> Bots buy 80% of supply in first block, leaving scraps for retail at 10-100x markup. </p> <div style="background: #0d0d0d; border-radius: 0.5rem; padding: 1rem"> <div style="font-size: 0.875rem"> Launch price: $0.00001<br/> Bot buys in block 0: Gets 80% supply<br/> Retail enters block 5: Price now $0.001<br/> <span style="color: #ef4444">Retail pays 100x more than bots</span> </div> </div> </div> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #fb923c; margin-bottom: 0.75rem">4. Arbitrage Extraction ($5M/month)</h4> <p style="color: #9ca3af; margin-bottom: 0.75rem"> Bots exploit price differences faster than humans can click, taking all profitable trades. </p> </div> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #fb923c; margin-bottom: 0.75rem">5. Wash Trading Manipulation ($3M/month)</h4> <p style="color: #9ca3af; margin-bottom: 0.75rem"> Fake volume tricks retail into buying, then bots dump at inflated prices. </p> </div> </div>

📊 The Real Cost Per Trade

<h3 style="font-size: 1.5rem; font-weight: 700; color: #ef4444; margin-bottom: 1.5rem">Every Trade You Make Feeds The Bots</h3> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #a855f7; margin-bottom: 1rem">Average Retail Trade Analysis</h4> <table style="width: 100%; color: #9ca3af; margin-bottom: 1.5rem"> <thead> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <th style="text-align: left; padding-top: 0.75rem; padding-bottom: 0.75rem">Cost Component</th> <th style="text-align: right; padding-top: 0.75rem; padding-bottom: 0.75rem">Amount</th> <th style="text-align: right; padding-top: 0.75rem; padding-bottom: 0.75rem">% of Trade</th> </tr> </thead> <tbody> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem">Your intended trade size</td> <td style="text-align: right">$1,000</td> <td style="text-align: right">100%</td> </tr> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem; color: #ef4444">Front-run tax</td> <td style="text-align: right; color: #ef4444">-$127</td> <td style="text-align: right; color: #ef4444">-12.7%</td> </tr> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem; color: #ef4444">Sandwich attack loss</td> <td style="text-align: right; color: #ef4444">-$83</td> <td style="text-align: right; color: #ef4444">-8.3%</td> </tr> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem; color: #ef4444">Slippage to bots</td> <td style="text-align: right; color: #ef4444">-$45</td> <td style="text-align: right; color: #ef4444">-4.5%</td> </tr> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem; color: #ef4444">Network fees (inflated)</td> <td style="text-align: right; color: #ef4444">-$15</td> <td style="text-align: right; color: #ef4444">-1.5%</td> </tr> <tr style="border-color: #ef4444"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem; font-weight: 700">Actual value received</td> <td style="text-align: right; font-weight: 700; color: #22c55e">$730</td> <td style="text-align: right; font-weight: 700; color: #ef4444">-27% LOSS</td> </tr> </tbody> </table> <div style="border: 1px solid; border-color: #ef4444; border-radius: 0.5rem; padding: 1rem"> <p style="color: #9ca3af; font-weight: 700"> ⚠️ You lose 27% of your investment value BEFORE the token even moves </p> </div> </div> <h3 style="font-size: 1.5rem; font-weight: 700; color: #fb923c; margin-bottom: 1.5rem">Lifetime Retail Investor Losses</h3> <div style="display: grid; grid-template-columns: repeat(1, minmax(0, 1fr)); gap: 1.5rem; margin-bottom: 2rem"> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.125rem; font-weight: 700; color: #a855f7; margin-bottom: 1rem">Casual Trader (10 trades/month)</h4> <ul style="> * + * { margin-top: 0.5rem }; color: #9ca3af"> <li>• Monthly bot tax: <span style="color: #ef4444">-$270</span></li> <li>• Annual bot tax: <span style="color: #ef4444">-$3,240</span></li> <li>• 5-year losses: <span style="color: #ef4444">-$16,200</span></li> <li>• Chance of profit: <span style="color: #ef4444">13%</span></li> </ul> </div> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.125rem; font-weight: 700; color: #a855f7; margin-bottom: 1rem">Active Trader (50 trades/month)</h4> <ul style="> * + * { margin-top: 0.5rem }; color: #9ca3af"> <li>• Monthly bot tax: <span style="color: #ef4444">-$1,350</span></li> <li>• Annual bot tax: <span style="color: #ef4444">-$16,200</span></li> <li>• 5-year losses: <span style="color: #ef4444">-$81,000</span></li> <li>• Chance of profit: <span style="color: #ef4444">7%</span></li> </ul> </div> </div> <div style="border: 1px solid; border-color: #fb923c; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <h3 style="font-size: 1.25rem; font-weight: 700; color: #fb923c; margin-bottom: 1rem">⚠️ The Compound Effect</h3> <p style="color: #9ca3af; margin-bottom: 1rem"> If you had invested that bot tax instead of losing it: </p> <ul style="> * + * { margin-top: 0.5rem }; color: #9ca3af"> <li>• $270/month in SOL (assuming 50% annual growth)</li> <li>• Year 1: $3,240 → $4,860</li> <li>• Year 3: $9,720 → $21,870</li> <li>• Year 5: $16,200 → <span style="color: #22c55e; font-weight: 700">$61,425</span></li> </ul> <p style="color: #ef4444; font-weight: 700; margin-top: 1rem"> Total opportunity cost over 5 years: -$142,425 </p> </div>

🎯 Who Gets Hit The Hardest

<h3 style="font-size: 1.5rem; font-weight: 700; color: #ef4444; margin-bottom: 1.5rem">Bot Victim Demographics</h3> <div style="margin-bottom: 2rem"> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #a855f7; margin-bottom: 1rem">Small Investors ($100-$1,000)</h4> <div style="margin-bottom: 1rem; padding: 1rem; border-radius: 0.5rem"> <div style="font-size: 1.875rem; font-weight: 700; color: #ef4444">43% average loss per trade</div> </div> <ul style="> * + * { margin-top: 0.5rem }; color: #9ca3af"> <li>• Can't afford high priority fees to compete</li> <li>• Forced to buy after bot accumulation</li> <li>• Slippage eats larger % of small trades</li> <li>• 89% lose their entire investment within 30 days</li> </ul> </div> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #a855f7; margin-bottom: 1rem">Mobile Traders</h4> <div style="margin-bottom: 1rem; padding: 1rem; border-radius: 0.5rem"> <div style="font-size: 1.875rem; font-weight: 700; color: #ef4444">67% higher losses than desktop</div> </div> <ul style="> * + * { margin-top: 0.5rem }; color: #9ca3af"> <li>• 2-5 second delay vs bot microseconds</li> <li>• Can't adjust gas fees quickly</li> <li>• Network latency on mobile connections</li> <li>• UI limitations prevent fast reactions</li> </ul> </div> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #a855f7; margin-bottom: 1rem">International Traders</h4> <div style="margin-bottom: 1rem; padding: 1rem; border-radius: 0.5rem"> <div style="font-size: 1.875rem; font-weight: 700; color: #ef4444">2.3x higher bot losses</div> </div> <ul style="> * + * { margin-top: 0.5rem }; color: #9ca3af"> <li>• Geographic distance adds 50-200ms latency</li> <li>• Bots colocated with validators have 1ms latency</li> <li>• Time zone differences miss optimal trading windows</li> <li>• Language barriers slow decision making</li> </ul> </div> </div> <h3 style="font-size: 1.5rem; font-weight: 700; color: #fb923c; margin-bottom: 1.5rem">The Psychology of Loss</h3> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #a855f7; margin-bottom: 1rem">Why Retail Keeps Losing</h4> <div style="> * + * { margin-top: 1rem }; color: #9ca3af"> <div style="display: flex; gap: 1rem"> <div style="font-size: 1.5rem">😔</div> <div> <strong>FOMO Trading:</strong> Fear of missing out makes retail buy at any price, exactly when bots are selling </div> </div> <div style="display: flex; gap: 1rem"> <div style="font-size: 1.5rem">🎰</div> <div> <strong>Gambling Mentality:</strong> Treating memecoins like lottery tickets instead of investments </div> </div> <div style="display: flex; gap: 1rem"> <div style="font-size: 1.5rem">📱</div> <div> <strong>Information Asymmetry:</strong> Bots have data feeds retail doesn't even know exist </div> </div> <div style="display: flex; gap: 1rem"> <div style="font-size: 1.5rem">💔</div> <div> <strong>Revenge Trading:</strong> Trying to "win back" losses leads to bigger losses </div> </div> </div> </div>

💰 Where The Money Goes

<h3 style="font-size: 1.5rem; font-weight: 700; color: #a855f7; margin-bottom: 1.5rem">Follow The $47 Million</h3> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #fb923c; margin-bottom: 1rem">Monthly Bot Revenue Distribution</h4> <div style="> * + * { margin-top: 1rem }"> <div style="display: flex; padding: 0.75rem; background: #0d0d0d; border-radius: 0.5rem"> <span style="color: #9ca3af">Professional Bot Farms (10 operators)</span> <span style="font-weight: 700; color: #ef4444">$31M (66%)</span> </div> <div style="display: flex; padding: 0.75rem; background: #0d0d0d; border-radius: 0.5rem"> <span style="color: #9ca3af">MEV Infrastructure Providers</span> <span style="font-weight: 700; color: #ef4444">$7M (15%)</span> </div> <div style="display: flex; padding: 0.75rem; background: #0d0d0d; border-radius: 0.5rem"> <span style="color: #9ca3af">Insider Trading Rings</span> <span style="font-weight: 700; color: #ef4444">$5M (11%)</span> </div> <div style="display: flex; padding: 0.75rem; background: #0d0d0d; border-radius: 0.5rem"> <span style="color: #9ca3af">Small Bot Operators (100s)</span> <span style="font-weight: 700; color: #ef4444">$4M (8%)</span> </div> </div> </div> <div style="border: 1px solid; border-color: #ef4444; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <h3 style="font-size: 1.25rem; font-weight: 700; color: #ef4444; margin-bottom: 1rem">🚨 The Biggest Bot Operators</h3> <div style="> * + * { margin-top: 1rem }; color: #9ca3af"> <div> <strong>"Wintermute Style" Operations:</strong> <ul style="margin-top: 0.5rem; > * + * { margin-top: 0.25rem }; font-size: 0.875rem"> <li>• Run 10,000+ bot wallets simultaneously</li> <li>• Extract $3-5M monthly from retail</li> <li>• Custom infrastructure costing $100k+/month</li> <li>• Direct validator connections for priority</li> </ul> </div> <div> <strong>"Jump Trading Style" MEV:</strong> <ul style="margin-top: 0.5rem; > * + * { margin-top: 0.25rem }; font-size: 0.875rem"> <li>• Sophisticated arbitrage across all DEXs</li> <li>• $2-3M monthly profit</li> <li>• Millisecond execution advantage</li> <li>• AI-powered trade prediction</li> </ul> </div> </div> </div> <h3 style="font-size: 1.5rem; font-weight: 700; color: #fb923c; margin-bottom: 1.5rem">The Infrastructure Arms Race</h3> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #a855f7; margin-bottom: 1rem">What Bots Spend Money On</h4> <table style="width: 100%; color: #9ca3af"> <thead> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <th style="text-align: left; padding-top: 0.75rem; padding-bottom: 0.75rem">Infrastructure</th> <th style="text-align: right; padding-top: 0.75rem; padding-bottom: 0.75rem">Monthly Cost</th> <th style="text-align: right; padding-top: 0.75rem; padding-bottom: 0.75rem">Advantage</th> </tr> </thead> <tbody> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem">Dedicated RPC Nodes</td> <td style="text-align: right">$10,000</td> <td style="text-align: right">1ms latency</td> </tr> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem">Colocated Servers</td> <td style="text-align: right">$25,000</td> <td style="text-align: right">Direct validator access</td> </tr> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem">Custom Bot Software</td> <td style="text-align: right">$50,000</td> <td style="text-align: right">Microsecond execution</td> </tr> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem">Data Feeds & Analytics</td> <td style="text-align: right">$15,000</td> <td style="text-align: right">Perfect information</td> </tr> <tr style="border-bottom: 1px solid; border-color: #a855f7"> <td style="padding-top: 0.75rem; padding-bottom: 0.75rem">Gas Fee War Chest</td> <td style="text-align: right">$100,000</td> <td style="text-align: right">Always win priority</td> </tr> </tbody> </table> <div style="margin-top: 1.5rem; padding: 1rem; border-radius: 0.5rem"> <p style="color: #9ca3af; font-weight: 700"> Retail with $100 and a phone app vs $200k/month infrastructure = No chance </p> </div> </div>

📈 The Exponential Problem

<h3 style="font-size: 1.5rem; font-weight: 700; color: #ef4444; margin-bottom: 1.5rem">It's Getting Worse Every Month</h3> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <h4 style="font-size: 1.25rem; font-weight: 700; color: #a855f7; margin-bottom: 1rem">Bot Dominance Growth Rate</h4> <div style="> * + * { margin-top: 1rem }; color: #9ca3af"> <div style="display: flex; padding: 0.75rem; background: #0d0d0d; border-radius: 0.5rem"> <span>January 2023</span> <span style="">Bots: 45% of volume</span> <span style="color: #ef4444">Retail loss: $12M/month</span> </div> <div style="display: flex; padding: 0.75rem; background: #0d0d0d; border-radius: 0.5rem"> <span>July 2023</span> <span style="">Bots: 67% of volume</span> <span style="color: #ef4444">Retail loss: $28M/month</span> </div> <div style="display: flex; padding: 0.75rem; background: #0d0d0d; border-radius: 0.5rem"> <span>January 2024</span> <span style="">Bots: 78% of volume</span> <span style="color: #ef4444">Retail loss: $38M/month</span> </div> <div style="display: flex; padding: 0.75rem; border-radius: 0.5rem; border: 1px solid; border-color: #ef4444"> <span>Today</span> <span style="font-weight: 700">Bots: 87% of volume</span> <span style="color: #ef4444; font-weight: 700">Retail loss: $47M/month</span> </div> <div style="display: flex; padding: 0.75rem; border-radius: 0.5rem; border: 2px solid; border-color: #ef4444"> <span>Projection 2025</span> <span style="font-weight: 700">Bots: 95% of volume</span> <span style="color: #ef4444; font-weight: 700">Retail loss: $73M/month</span> </div> </div> </div> <div style="border: 1px solid; border-color: #fb923c; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <h3 style="font-size: 1.25rem; font-weight: 700; color: #fb923c; margin-bottom: 1rem">⚠️ Why It Accelerates</h3> <ul style="> * + * { margin-top: 0.75rem }; color: #9ca3af"> <li>• <strong>Winner takes all:</strong> Profitable bots reinvest in better infrastructure</li> <li>• <strong>Retail gives up:</strong> As losses mount, humans stop trying to compete</li> <li>• <strong>Network effects:</strong> Bot operators share strategies and infrastructure</li> <li>• <strong>AI improvement:</strong> Machine learning makes bots smarter every day</li> <li>• <strong>Regulatory void:</strong> No rules against bot manipulation on DEXs</li> </ul> </div> <h3 style="font-size: 1.5rem; font-weight: 700; color: #ef4444; margin-bottom: 1.5rem">The Death Spiral</h3> <div style="background: #1e1e2e; border-radius: 0.75rem; padding: 1.5rem; margin-bottom: 2rem"> <div style="> * + * { margin-top: 1rem }"> <div style="display: flex; gap: 1rem"> <div style="font-size: 1.875rem">1️⃣</div> <div style="color: #9ca3af"> <strong>Bots dominate launches</strong> → Retail loses money </div> </div> <div style="display: flex; gap: 1rem"> <div style="font-size: 1.875rem">2️⃣</div> <div style="color: #9ca3af"> <strong>Retail loses trust</strong> → Fewer human traders </div> </div> <div style="display: flex; gap: 1rem"> <div style="font-size: 1.875rem">3️⃣</div> <div style="color: #9ca3af"> <strong>Less retail liquidity</strong> → Bots fight each other </div> </div> <div style="display: flex; gap: 1rem"> <div style="font-size: 1.875rem">4️⃣</div> <div style="color: #9ca3af"> <strong>Markets become unusable</strong> → Ecosystem dies </div> </div> </div> <div style="margin-top: 1.5rem; padding: 1rem; border-radius: 0.5rem"> <p style="color: #ef4444; font-weight: 700"> Without intervention, retail participation drops to zero by 2026 </p> </div> </div>

Key Takeaways

  • Bots extract $47 million monthly from retail investors on Solana alone
  • Average retail trader loses 27% per trade before token price moves
  • Small investors ($100-$1000) suffer 43% average loss per trade
  • 87% of trading volume is now bots, up from 45% in early 2023
  • Mobile traders lose 67% more than desktop due to latency disadvantage
  • Professional bot farms make $3-5 million monthly from retail losses
  • Without fair launch mechanisms, retail participation approaches zero by 2026

Frequently Asked Questions

Q: Is this just bad traders blaming bots for losses?

No. The data is clear - even profitable traders lose 27% to bot extraction on every trade. This isn't about skill; it's about microsecond execution speed and infrastructure advantages that retail cannot match.

Q: Why don't exchanges stop bots?

DEXs are permissionless by design. Anyone can interact with smart contracts, including bots. The solution isn't banning bots (impossible) but creating fair launch mechanisms that eliminate their advantages.

Q: Can I compete by using trading bots myself?

Retail bots can't compete with professional operations. They have $200k+/month infrastructure, direct validator connections, and custom software. Your $50 bot is bringing a knife to a missile fight.

Q: Is this problem unique to Solana?

No, but Solana's speed makes it worse. Ethereum has similar issues but higher gas fees limit some attacks. Solana's low fees and fast blocks create perfect conditions for bot dominance.

Q: What percentage of retail traders actually profit?

Only 13% of retail traders are profitable after accounting for bot extraction. Of those, most are early adopters who got in before bot dominance or use fair launch platforms.

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Disclaimer: This content is for educational purposes only and does not constitute financial advice. Cryptocurrency investments carry significant risk of loss. Always conduct your own research and never invest more than you can afford to lose.