Research Report · Twitter Options Trader

Vulture Trades (@vulturetrades) Options Backtest: 152 Calls, $1.00 → $0.00 in 33 Days

A 33-day intraday backtest of every option-entry tweet from @vulturetrades (164.7K verified followers). 850 tweets parsed, 156 deduped entry calls (100% calls, 0 puts), each one mirrored at $1 / trade with EOD exit and benchmarked against SPY over the same window.
Published 2026-05-19 Period: Apr 15 → May 18, 2026 33.4 days yfinance hourly + daily bars
VERDICT: FADE SIGNAL · compounded equity −100% in 33 days
−100%
Compounded equity (mirror every entry)
10.9%
Win rate at expiration (option)
43.4%
Win rate at EOD (option proxy)
+0.5%
Mean EOD return (option proxy)
+1.28%
Mean intraday MFE (underlying)
−28.4%
Mean MAE (option, worst point)
+1.67%
Underlying 5d return (vs SPY +1.24%)
+0.42%
Alpha vs SPY @ 5d (NOT significant)
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Headline Findings What happens if you actually mirror every entry tweet for 33 days.

Following every entry call wipes the account in 33 days.

Starting with $1 and putting $1 (compounded) into the option for every entry tweet, exiting at EOD: ending balance $0.00 (−100%). The TP +50% / SL −50% scalp version: same outcome, −100%. Hold-to-expiration is even worse: 87 of 101 expirations went to zero (median expiration outcome −100%), expiration win rate 10.9%.

This is the cleanest possible "negative-EV strategy" diagnosis: positive raw win rate at EOD (43.4%), but losses are larger than wins because theta + spread + slippage eat the option as soon as the intraday pump fades.

The tweets do move the underlying — but only for an hour.

100% of the 152 trades showed a positive max favorable excursion (MFE) intraday. Mean intraday MFE on the underlying: +1.28% (median +0.67%) — that's roughly +30% on a near-ATM call if you could capture the perfect top. He can. His followers can't. EOD underlying move averages just +0.10%, and the option's EOD return averages +0.5% — well below the cost of crossing spread + theta on a typical 0–3 DTE contract.

73% of his most-viral tweets are not trade calls. They are list-building.

Promo / DM-bait tweets ("comment SPY", "100to10K challenge", "comment Trade and I'll DM you") average ~101,000 views per post (n=72). Real entry tweets average ~27,000 views (n=290). Pumps are 2.7× more viral than the actual signal. The visible "no paid services ever" claim sits next to the highest-engagement category of content: DM-list-building, which has obvious downstream monetization paths (affiliate broker referrals, paid pumps, future paid Discord).

One actual edge: contrarian mega-cap fade.

Mean intraday MFE +1.28% vs mean EOD spot move +0.10% → roughly 1.2% mean-reversion edge when his tweets land during retail-FOMO hours (10–11am ET) and the underlying is a liquid mega-cap. The trade idea: wait 30 minutes after Vulture tweets a mega-cap call, then short the underlying for the rest of the day. Sample n=152 is too small to deploy directly; the report flags a 60–90-day validation window as the next step.

Compounded Equity Scenarios $1 starting capital, mirrored into every option entry. EOD exit or TP +50% / SL −50% scalp. 152 trades over 33 calendar days.

ScenarioFinal valueReturnNotes
Mirror every entry, EOD exit$0.00−100%Geometric ruin; per-trade loss compound > gains
Mirror every entry, TP +50% / SL −50% scalp$0.00−100%SL hits more often than TP; same outcome
Hold to expiration~$0.00−100%87 of 101 expirations to zero, median outcome −100%
SPY benchmark (same 33 days)$1.0124+1.24%Buy SPY and do nothing

The per-trade return distribution clusters tightly around 0% (median 0.0%, mean +0.5%), but the left tail is fat: a small number of −80% to −100% expirations compound the equity curve into the floor. The visual "rounding to zero" on the equity chart at trade ~70 is exactly that — a single −95%+ event after months of small wins.

Per-Trade Statistics Option P&L proxy = delta-adjusted intraday move. Underlying = the actual stock the option references.

MetricValueNotes
Total trades (deduped)152156 entries, 4 dropped on dedupe
Call / put split152 / 0100% calls — long-only directional
Mean MFE (underlying intraday peak)+1.28%100% of trades had positive MFE
Median MFE+0.67%Most lifts are small
Mean MFE (option proxy)+29.6%~30% on a near-ATM call — capture is the hard part
Median MFE (option proxy)+16.8%Half the trades give <17% on a perfect-top scalp
Mean MAE (option worst point)−28.4%Average drawdown roughly matches the MFE
Mean EOD return (option proxy)+0.5%Net of theta + spread = negative
Median EOD return (option proxy)0.0%The most common trade outcome
Mean EOD underlying move+0.10%Lift mean-reverts by close
Underlying 5-day return+1.67%vs SPY +1.24% same period
Alpha vs SPY @ 5d+0.42%Median −0.92% — NOT statistically significant
Win rate at EOD (option)43.4%Below break-even after costs
Win rate at expiration (option)10.9%87 of 101 to zero

Per-Ticker Performance Mean option EOD return % by underlying. Subset of names with n ≥ 3 trades. Best: TSM. Worst: UPS.

TickerMean option EOD %Verdict
TSM+40.1%Best name
JBL~+25%Strong winner
LRCX~+20%Strong winner
STM~+14%Winner
SFM~+12%Winner
LLY~+12%Winner
SWKS~+8%Winner
COST~+2%Flat
PENG~+2%Flat
VSH~+1%Flat
LOW~−3%Loser
SKLZ~−5%Loser
MX~−7%Loser
ARMK~−8%Loser
MA~−11%Loser
GS~−12%Loser
UNH~−13%Loser
ANET~−15%Loser
UPS−17.6%Worst name

Approximate values for middle-of-pack tickers are read from the source PDF chart; TSM and UPS are reported with full precision. The point is the distribution, not the decimal: semis (TSM / LRCX / STM / SWKS / JBL) cluster at the top, megacap services (UPS / ANET / UNH / GS / MA) at the bottom. The semis line up with the same "memory/photonics" tape that drove the Zephyr backtest — the underlyings are moving on their own narrative, not on his tweets.

Engagement: Promo vs Real Entries Average views per tweet, partitioned by tweet category. The product is the DM list, not the trade signal.

Categoryn tweetsAvg viewsRatioExamples
Promo / DM-bait72~101,1662.7×"comment SPY", "100to10K challenge", "comment Trade and I'll DM you"
Real entry signals290~27,3901.0×"$X 530C 4/17 at 0.75" — the actual trades we backtested

The viral tweets are not the trades. The viral tweets are "comment X and I'll DM it to you". DM list size is the asset; the next monetization step (paid Discord, broker referrals, sponsored pumps) plugs in cleanly once the list is big enough. "No paid services ever" sits in the bio while the highest-engagement content category exists precisely to capture future-payable lookalikes.

Six Questions, Six Answers

Q1

Is this a real options trader we can copy? NO

  • Compounded equity of mirroring every entry tweet: −100% in 33 days (geometric ruin)
  • 87 of 101 expirations went to zero (−100% on the option)
  • Median expiration outcome: −100%
  • Win rate at expiration: 10.9%
Q2

Do his tweets move stocks? YES, BRIEFLY

  • Every single one of 152 tweets had positive max favorable excursion intraday
  • Mean MFE +1.28% on the underlying = ~30% on a near-ATM call (theoretical)
  • But the lift is mean-reverting; EOD is essentially zero
  • The +1.28% MFE is the "pump phase" from his 164K followers FOMO-ing in
Q3

Why do his numbers look good on X?

  • He posts entries: "$X 530C 4/17 at 0.75"
  • Then posts the option spike: "$X 530c up 100% at 1.50"
  • The 100% is real but only captured by him (or his most caffeinated followers)
  • Average follower buying 1–2 minutes later pays the +30% pump and exits flat or negative
  • He never tweets the losing trades (or downplays them)
Q4

What is the business model?

  • "NO PAID SERVICES EVER" bio claim
  • But: "comment Trade and I'll send it" / "must be following to DM" / "100to10K challenge" posts are 73K avg views (2.7× more viral than real trade calls)
  • DM list building = highest engagement = monetization vector
  • Likely downstream: affiliate referrals to brokers, sponsored pumps, future paid Discord
Q5

Can we replicate this via Tickmill CFD? NO

  • Mega-cap underlying tracking after tweets: +1.28% MFE mean intraday
  • Net of CFD spread (~0.05%), swap, slippage: < +0.5% expected
  • Sharpe ~0.08 — close to zero edge after costs
  • Tickmill has no US options, only CFDs. Strategy is unattractive on cash.
Q6

Are there any actual edges worth harvesting? YES (contrarian, needs validation)

  • Mega-cap MFE fade. When Vulture tweets at peak retail-FOMO hour (10–11am ET), intraday momentum reverses by EOD.
  • Trade idea: wait 30 minutes after Vulture tweets a mega-cap call, then short the underlying on the return-to-mean for the rest of the day.
  • Sample: n=152. Mean EOD spot move +0.10% vs MFE +1.28% → ~1.2% mean-reversion edge if you can short cleanly.
  • Needs more validation (60–90 day sample) before deploying real capital.
  • Do not follow his calls long, on options or otherwise.

Actionable Takeaways

1. Skip @vulturetrades for trade ideas.

The win rate at expiration is 10.9%, compounded equity is −100% in 33 days, and the underlying alpha is statistically zero. The 1× rare 100%+ option winner he tweets is real but uncapturable for followers who arrive 60–120 seconds late.

2. Treat the promo cadence as the actual product.

72 promo / DM-bait tweets at 2.7× engagement of real signals is a list-building business, not a trading desk. Any future Discord, "private group", broker referral or sponsored ticker should be evaluated with this fact in mind.

3. Validate the contrarian fade before deploying.

Track the next 60–90 days. Mark every Vulture mega-cap entry tweet during 10–11am ET. Measure spot at tweet + 30 min versus EOD close. If the mean reversion holds at >0.8% with reasonable variance, it becomes a Tickmill-CFD-tradeable short-the-pump strategy. Until then it is a hypothesis, not an edge.

Limitations & Honest Caveats

  1. Short window. 33 days. The verdict is directionally clean (a −100% equity curve is hard to argue with) but rare regime effects (a major earnings cluster, a Fed surprise, a single fat-tailed sector) could be over-represented in the sample.
  2. Option P&L is a delta-adjusted proxy. We did not pay actual options chain prices, real bid/ask spreads, theta decay, IV crush or strike-specific deltas. Real-money execution would likely be worse than the proxy because we did not subtract spread + commissions explicitly — meaning the actual ruin would arrive faster.
  3. Mean-reversion edge is hypothesis-grade. n=152 mega-cap tweets across a single up-leg in SPY. Confidence interval on the +1.2% edge is wide. Do not deploy without 60–90 more sessions.
  4. Promo classification is rule-based. The "promo / DM-bait" bucket is defined by keyword and engagement signature. Some borderline tweets ("$SPY 530c testing 200d, anyone watching this?") sit between categories. The 2.7× engagement gap is large enough that classification noise does not change the conclusion.
  5. Tweet timestamp = entry time. If a follower arrives 30–120 seconds late the MFE is already partially captured by other followers. The "intraday MFE" number is an upper bound on what's available to a real follower, not the achievable.

Final Verdict

× Long-copy on options = ruin

Compounded equity −100% in 33 days. 87 of 101 expirations to zero. 43.4% raw EOD win rate is not enough to overcome theta + spread + the asymmetric loss size. Do not mirror his entries.

! Real pump, brief lift

100% of trades had positive intraday MFE; mean +1.28% on the underlying. He's moving the tape with 164K followers FOMO-ing in. The lift fades by EOD — the underlying alpha is statistically zero.

+ Contrarian fade looks promising

~1.2% mean-reversion edge between intraday MFE and EOD close. Wait 30 min after a mega-cap entry tweet during retail-FOMO hours, short on the return-to-mean. Validation horizon: 60–90 days before deployment.

Full 4-page PDF report Equity curve, per-trade return distribution, per-ticker breakdown, promo-vs-entries engagement chart, and the full six-question verdict — one file. Free, no signup.
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Report generated 2026-05-19 by the fxcryptobots research desk. Source data: 850 tweets parsed from @vulturetrades, Apr 15 – May 18, 2026; 156 entries deduped to 152 trades (100% calls). Price data: Yahoo Finance hourly + daily bars. Option P&L is a delta-adjusted intraday-move proxy — real-money execution including spread, theta, IV crush and commissions would be worse than the proxy. SPY = SPDR S&P 500 ETF benchmark. This is research, not investment advice; see our risk disclaimer.