Want to know how elite traders catch massive, high-reward reversals without blowing up their accounts? Hint: They don’t blindly short every stock making new highs or try to catch falling knives [03:24]. They wait for true capitulation—where forced market structure, margin calls, and pure exhaustion create historic imbalances [00:15, 34:16]. @theonelanceB took the stage at the SMB Trading Summit to break down the mechanics of one of his most profitable trading setups: The Capitulation Fade. Lance was an 8-figure-a-year producer when trading full-time. Today, he mentors traders on our desk, steps in part-time to trade the biggest asymmetric opportunities, and directs his incredible philanthropic work through the Impact Competition. When a former 8-figure trader reveals his exact 10-variable mental checklist, you grab a notebook and pay attention [04:33]. Here are the heavy-hitting lessons from Lance’s masterclass: Trade the "Right Side of the V": Amateurs jump in front of trains trying to guess the exact top or bottom [03:24]. Elite mean-reversion traders let the euphoria or panic happen, wait for the turn, and execute on the backside of the move [00:46]. Slope Over Distance (The Asymptote): It’s not about how far a stock runs—it’s the rate of change [05:33]. Linear moves can trend for months and bust short sellers [06:24, 07:49]. You want an asymptotic, parabolic curve where price accelerates into a vertical wall [05:49, 06:52]. Extreme Extension From Equilibrium: Lance uses Bollinger Bands (2 standard deviations off the 20-period moving average) as a visual ruler for price expansion [09:37]. The further price stretches away from the moving average, the bigger your potential reward back to equilibrium [10:48]. Never Fade Day 1 Fresh News: Fresh news means a fundamental repricing—equilibrium has changed [12:03, 12:30]. Lance avoids fading fresh catalysts; his biggest edge is when price goes parabolic days after the news on pure emotion and technical momentum [11:55, 15:48]. Wait for Later Legs & Massive Volume: The biggest capitulations occur on 3+ consecutive extended legs and multi-day runs [08:31, 19:20]. Watch for volume that completely dwarfs historical averages, signaling that participants are getting aggressively flushed out [16:38, 18:08]. Boring > Speculative: A diversified giant (like Berkshire Hathaway or an entire index like the Nikkei) that panics on noise has massive institutional gravity pulling it back to fair value [30:04, 32:10]. A beaten-down microcap biotech can easily go straight to zero [30:35]. Spot the Footprint of Forced Liquidations: When a stock goes 9x higher and someone is stubbornly bidding millions of shares on the tape at the highs, they aren't buying because they want to—they're buying because their broker is liquidating them on margin [36:33, 36:53]. When that forced buyer breaks, the bottom falls out [37:30]. Trading is a challenging sport, but edge in this game isn't found by spraying and praying across 50 different charts. Real edge comes from stacking significant variables in your favor and having the supreme patience to strike only when the market is completely unhinged. Study the nuances, respect your capital, wait for the market to prove the turn, and get your work done! #DayTrading# #PropTrading# #SMBCapital# #TradingStrategy# #RiskManagement# The 10 Rules That Catch Big Reversals (BEFORE They Happen) via @YouTube

A trading strategy performs exactly as well as the infrastructure executing it, and no better. Speed matters, but co-location is the variable that most participants don't control. Raiku runs where the block is made, which means the execution happens at the point where the market is decided rather than one step behind it.

A trading strategy can become less reliable the more you try to perfect it. Imagine testing a strategy on 20 years of historical data. You notice that certain losses occurred before major reversals. So you add a rule “Don’t take the trade when this pattern appears.” The results improve. Then you find another losing pattern. Add another rule. The backtest improves again. Repeat this enough times… And eventually you can build a strategy that looks exceptional on the past. But there is a problem. You may have optimized the strategy for the data you already saw. This is the basic danger of overfitting. A model can become extremely good at explaining historical observations while becoming less useful on new data. And trading makes this particularly dangerous because markets contain noise, changing regimes, and relatively few truly independent observations. The more decisions you make after seeing the data, the easier it becomes to mistake coincidence for an edge. So when a backtest gets dramatically better after adding one more rule, don’t only ask “Did the strategy improve?” Ask “Did I discover something real or did I teach the strategy the answer to an exam it has already seen?

My trading strategy was also arbitraging, and the strategy basically makes money from the lost of market makers. The strategy on multiple different exchanges and the profit generates on FTX is greater than any other ones, probably because Alameda was the stupid market maker.

“What happens when a trading strategy is authored by an AI agent?” @renato_mariotti, who prosecuted the first spoofing case, says regulators face a new problem when they can’t charge the machine behind the trade. He calls it “accountability arbitrage.”

I built a trading bot with Claude that printed +$168,236. I have zero technical background, and I used Fable 5 to backtest and build the entire strategy. If you inject this prompt into Claude Code, your AI agents will help you build a profitable trading strategy from scratch:

Have a trading strategy? Turn it into a Trading ASP and put it on our Hackathon leaderboard. Watch the walkthrough to set up your agent, publish your listing, and configure subscriptions. 40K USDT up for grabs:

Listen to our Trading Strategy Podcast episode #5# with AlphaGrowth (@alphagrowth1) and learn how money market curation actually works — how a curator picks collateral, sets risk parameters, and uses data rather than intuition to decide when a yield is worth the liquidation risk behind it. In this episode, Nertila (@theblue_panda) from Trading Strategy discusses with Kyril (@KyrilVlasenko) from AlphaGrowth. AlphaGrowth is a DeFi growth and execution firm supporting ecosystems, DAOs, investors, and protocols, combining partners, systems, and institutional-grade execution as a gateway to DeFi alpha. 👉 View AlphaGrowth curated vaults on Trading Strategy 👉 Listen to the podcast on Spotify 👉 Listen to the podcast on YouTube

Ready to put your trading strategy to the test? Join the @HeySorinAI Paper Trading Competition and compete against traders from around the world using $100K in paper funds. Climb the leaderboard, refine your edge, and compete for a share of up to $100,000 in real payouts. Register now through the link in our bio.