“Stop fishing? Guys, get those conspiracy theories out of your heads; no one cares about your stops. There is no one out there gunning your stops. Algos are playing around all the time, sometimes to hit your stops. Sometimes they don’t.”
Qullamaggie speaks on Algos Hunting Your Stops
“Stop fishing? Guys, get those conspiracy theories out of your heads; no one cares about your stops. There is no one out there gunning your stops. Algos are playing around all the time, sometimes to hit your stops. Sometimes they… pic.twitter.com/vN8YaG9BqP
— Lone (@lonextrades) July 24, 2025
Comprehensive Report: Qullamaggie Speaks on Algos Hunting Your Stops – Debunking Conspiracy Theories in Momentum Trading
Executive Summary
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The notion of algorithms deliberately “hunting” retail traders’ stop-loss orders is largely a conspiracy theory born from frustration, as markets’ natural volatility and algorithmic activity can incidentally trigger stops without targeted malice.
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As Kristjan Kullamägi (Qullamaggie) dismisses in the provided clip, “no one cares about your stops”—algos “play around” constantly, sometimes hitting them in shakeouts, but the key is to always obey your stops regardless, as worrying about manipulation distracts from disciplined execution.
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This report synthesizes Qullamaggie’s pragmatic rejection of “stop fishing” myths and Mark Douglas’ psychological detachment from paranoia.
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Using DKNG’s chart from the clip as an example of potential shakeouts (dips below levels then recovery) and broader cases like GME squeezes or liquidity runs discussed on Reddit, we’ll explore myth origins, natural explanations (e.g., liquidity grabs), frameworks for robust stops, and why obedience trumps suspicion.
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Algos don’t hunt you—volatility does; always honor stops to survive and thrive in trading’s chaos.
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Understanding the Core Philosophy
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Qullamaggie’s dismissal of “stop fishing” as a “conspiracy theory” cuts through trader paranoia: “no one cares about your stops,” and while algos engage in constant activity that may incidentally trigger them during shakeouts, it’s not targeted—”there is no such thing” as deliberate gunning.
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Instead, he urges unwavering obedience to stops, regardless of perceived manipulation—”it doesn’t matter if it’s a shakeout because of an algo or not”—as fretting distracts from the real edge: disciplined risk management.
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This aligns with his broader emphasis on setups over excuses, viewing market wiggles as noise to navigate, not conspiracies.
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Jeff Sun would reinforce mechanical stops: layer them (e.g., 33%/66% levels) based on rules, ignoring “hunts” for energy efficiency.
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Oliver Kell’s CANSLIM uses stops at pivots, treating dips as tests, not plots.
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Kay Klingson models probabilistically: shakeouts are statistical in streaks, not malicious—prep via fixed risk.
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William O’Neil mandates 7-8% cuts: stops protect from real losses, not algos.
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Mark Minervini hates loose stops but obeys rigidly: hunts are myths; focus math.
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Leif Soreide pivots in rugs: volatility natural, defend setups.
@realsimpleariel trails MAs: dips hit stops legitimately, obey for peace.
@TedHZhang aligns: breakdowns real, not hunts—reset.
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Mark Douglas detaches: fear of hunts is bias; think probabilities, execute edges.
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Core: hunts are overblown—volatility/liquidity natural; always obey stops for survival—myths erode discipline.
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Key Tenets:
Myth Debunking: No targeted hunting; algos/liquidity incidental—conspiracies excuse poor execution.
Stop Obedience: Always honor, regardless of shakeouts—key to longevity.
Natural Explanations: Volatility, liquidity grabs, algos probing—not malice.
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Psychological Impact: Paranoia tilts; detach for clarity
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Real-World Examples and Applications
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The clip’s DKNG chart illustrates potential shakeouts: on daily/volume views, price dips below levels (e.g., intraday lows) then recovers, possibly hitting stops before resuming up—natural volatility, not hunts.
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Qullamaggie uses it to show algos “playing around,” advising obedience. Broader: Reddit debates liquidity hunts as algo-driven but not targeted—natural in thin order books.
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GME 2021 squeeze: shorts hit stops exponentially, but meme-driven, not algo hunts.
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Example | Description | Outcome | Key Notes |
|---|---|---|---|
DKNG (Chart Example) | Dips below intraday lows, recovers; possible stop hits. | Uptrend resumes; obey stops anyway. | Natural shakeout; no conspiracy |
GME Squeeze (2021) | Shorts triggered en masse, infinite loss. | 20x run; hedge funds blown. | Meme, not algo hunt; obey risk |
Liquidity Hunts (General) | Thin books, algos probe—stops hit in wicks. | Quick reversals; natural, not targeted. | Reddit debate: algo vs. market |
NVDA Dips (2023) | Intraday shakes hit stops, recover on AI hype. | Extension continues. | Volatility normal; obey |
Trading Framework: Implementation and Risk Management
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Dismiss hunts, set robust stops.
Stop Placement:
O’Neil/Minervini: 7-8% below pivot; mechanical, no adjust for hunts.
@realsimpleariel/Soreide: Trail MAs; below day lows for intraday.
Entry/Exit Rules:
Sun/@TedHZhang: Layer stops (33%/66%); obey breakdowns, reset alignments.
Pitfalls: Adjusting stops (tilt), paranoia (distraction).
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Perspectives from Momentum Traders
Kristjan Kullamägi (Qullamaggie): Stop hunting conspiracy; no one guns—algos play, sometimes hit; always obey stops, ignore shakeouts.
William O’Neil: 7-8% cuts obey; myths distract from discipline.
Consensus: Myths erode; obey stops for edges.


