In our latest video, I break down our desk's exact 8-Point Breakout Trading Blueprint: 1. A 9/10 Level on the Daily Chart 2. Elevated RVOL 3. Volume Ignition on the Break 4. Reading the Tape 5. Market & Sector Tailwinds 6. A Defined Invalidation Stop 7. Adding to Winners 8. A Defined Exit & The Scratch Rule #DayTrading# #PropTrading# #TradingStrategy# #BreakingNews# How to Trade a Breakout Without a News Catalyst (Step-by-Step Prop Desk ... via @YouTube

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

Trading Tip; How to trade Breakouts! This is Very important since we're in a Bull market and many coins are breaking out. Breakouts are a popular trading strategy, but entering at the right time is crucial. I’ve lost money by entering too early or too late, so here are some tips. A breakout happens when the price moves outside a pattern. For confirmation, wait for the price to close outside the pattern, as the initial move could reverse. In some cases, like bull flags, you can enter early, but it’s riskier. It’s better to wait for confirmation and enter when the price is near the trendline or after a retest at key levels. For fast-moving prices, especially during news-driven pumps, set bids at the 0.382 Fib level as the price retraces, with a stop loss below 0.618. Alternatively, enter at the breakout and set a stop loss just below the trendline. Your stop loss affects your position size. For example, if your stop loss is 2% below, you can size your position 10 times larger than if it’s 20% below, while maintaining the same risk. Hope this helps you make better trading decisions! Good luck!

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A trading strategy is only as good as the liquidity behind it. Without it, even the best setup goes nowhere. That's where our next partner spotlight comes in with @Wincent_co As an anchor market maker, Wincent provided cornerstone liquidity for our major perpetual swap markets from 2024, with orders in the books right up until those markets closed. Wincent was also a key collaborator on our Protected Liquidity Pools, and its market making complemented its position as a top-5 trader on the platform. We wish Wincent continued success and look forward to working with the team on future projects. Thank you Wincent 🤝 We're grateful for the partnership 🔗

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.