30-Day Community Assessment

Over the past 30 days, Corgi Calls callers delivered 225 closed trades at a 74.4% win rate and a combined +1,214.7% PnL at 10x leverage — a genuinely strong signal foundation. Across 43 active members who logged entries, the community recorded 322 total entries, averaging just 1.4 entries per signal — meaning roughly 60% of signals were acted on by zero or only one member. The core story here is clear: the alpha is being generated, but the community is only scratching the surface of what's available. It's worth noting honestly that this period coincided with the rollout of the portal and tracking tools — many members were still learning how to log entries and interact with the system. This report serves as a baseline, not a verdict. Now that the infrastructure is live and functional, the only direction is up.

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The signal quality coming out of the caller team is the engine of this community, and the engine is running well.@voberoi stands out as the highest-volume, highest-quality caller this month: 96 trades, 84% win rate, +674.7% PnL, with 68 take-profit hits. That consistency across nearly 100 trades is exceptional — it's not a hot streak, it's a process. His signals alone represent roughly 55% of the community's total PnL.@corgil_ delivered 81 trades at a 72% win rate and +588.0% PnL, with 65 TP hits — a similarly impressive output with strong risk management. The TP-to-trade ratio (65 TPs across 81 trades) suggests disciplined scaling out of winners.@pranayyyy posted 48 trades at a 59% win rate for -48.0% PnL — a tougher stretch. This is worth contextualizing: with 25 TP hits, there were profitable setups in the mix, but the losses outweighed the wins this period. A 59% win rate can absolutely be profitable with tighter risk management, and this is worth monitoring in the next cycle.Across the board: The combined caller profile of 74.4% win rate with a profit factor of 2.55 and average win of +13.8% is strong. The slightly elevated average loss of -15.7% (larger than the average win) means the win rate is doing the heavy lifting — which reinforces why following signals consistently matters. Cherry-picking in a system like this actually *increases* your risk of landing on the losing trades.Asset highlights: SOL (92% WR, +100.8%), XRP (89% WR, +61.3%), ETH (78% WR, +88.2%), and NEAR/ZRO/XYZ100/NVDA/TSLA (all 100% WR) were standout tickers. The one clear avoid was CL at 33% WR and -105.8% PnL — a meaningful drag. BTC, despite being the most-traded asset (49 trades), held a solid 70% WR and +154.4% PnL.

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This is where the opportunity lives — and where we have to be honest about what the data does and doesn't tell us.With 225 signals and only 322 total entries across 43 members, the math is stark:This is the single biggest gap. The callers are putting out ~7-8 signals per day on average. Most members are engaging with fewer than 2 per week.This is actually a bright spot, and worth celebrating:The 19% entering after 30 minutes are likely the ones experiencing meaningfully worse fills, especially on moves that gap quickly.Here's another genuine positive:This is strong. Whether the exits were optimal is a different question (we'd need per-member PnL data to compare against caller TP levels), but the behavioral foundation of *actively closing positions* is there.Let's put the opportunity cost in perspective. The caller team generated +1,214.7% combined PnL at 10x. If we assume the 43 active members averaged 7.5 trades each and achieved even 60-70% of caller PnL on those trades (due to slightly worse entries and exits), they captured a fraction of the total alpha available. A member following all 225 signals with median-quality execution would have had access to the full +1,214.7%. A member following 7-8 signals cherry-picked without a system captured maybe +40-60% on a good month — and was exposed to significant variance risk from a small sample.

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Based on the data, here are the specific behaviors that separate the members getting results from those leaving value on the table:81% of members enter within 30 minutes, but the remaining 19% enter significantly later. The average entry delay of 45 minutes — against a median of just 5 minutes — tells us there's a small group pulling the average way up by entering hours after signals fire. In a market where the average winning trade plays out over ~12 hours and the average trade overall lasts ~11 hours, entering 1-2 hours late means you may be entering after a significant portion of the move has already occurred. Worse, you're entering closer to the stop loss in terms of time exposure, with less upside remaining.On fast-moving assets like SOL (+100.8% across 12 trades at 92% WR) or HYPE (+77.9% across 14 trades), a 30-minute delay can mean entering 2-5% into a move that only has 8-10% of total travel left.With only 1.4 average entries per signal across 43 members, most signals go unfollowed by most members. This creates a dangerous dynamic: members are *self-selecting* which signals to take, effectively overriding the callers' system with their own judgment. In a system with a 74.4% win rate, random cherry-picking mathematically converges to the system win rate only over large samples. Taking 7-8 trades means your personal win rate could swing anywhere from 50% to 100% based on luck alone.The callers' edge is statistical, not per-trade. It shows up over 225 trades, not 7.Without per-member caller attribution, we can infer from the numbers: @pranayyyy's signals at 59% WR and -48.0% PnL mean that members who disproportionately followed those signals while skipping @voberoi's (84% WR) or @corgil_'s (72% WR) experienced very different outcomes. This isn't about avoiding a caller — it's about following the system broadly rather than betting on one voice.The data shows significant variance by asset. Members who gravitated toward CL (33% WR, -105.8%) or FET (60% WR, -53.7%) while skipping NEAR (+91.3%), ZRO (+27.8%), or XRP (+61.3%) would have experienced dramatically different results. The 100% WR assets (XYZ100, NVDA, TSLA, NEAR, ZRO) contributed meaningfully to overall PnL — missing those because the ticker wasn't "exciting" is a costly habit.If the community has more than 43 members — and most communities this active do — then a significant portion of the membership didn't log a single entry this month. Some of this is undoubtedly the portal being new: members didn't know how to use it, weren't sure if it was fully functional, or were waiting to see how it worked. That's fair, and that's exactly what this baseline captures. But going forward, passive membership is zero-sum — you're paying attention without capturing value.

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While we can't share individual results, the patterns in the data paint a clear picture of what effective membership looks like:The top-performing members (top ~25%) share these traits:What "good" looks like in practice: Enter within 5 minutes on 50%+ of signals from @voberoi and @corgil_, manage every position actively, take TP when called, accept the stop when hit, and move on. No revenge trading, no cherry-picking, no second-guessing. Over 225 signals at a 74.4% WR and 2.55 profit factor, the math does the work — your job is just to be present and disciplined.

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The gap: Only 49% of entries happen within 5 minutes. The median delay is 5 minutes (good), but the average is 45 minutes (pulled by stragglers).
The fix: Enable push notifications for caller channels. Pre-load your exchange with funds ready. Have a default position size so you can execute in under 60 seconds.
Expected impact: Faster entries mean better fills. On a system generating +5.4% average PnL per trade, even a 1% improvement in entry price across 225 trades is +225% additional captured PnL at 10x.The gap: 43 members averaged 7.5 entries each across 225 available signals. Most of the caller edge goes uncaptured.
The fix: Commit to following at least every signal from one top caller for 30 days. @voberoi's 96 trades at 84% WR is a great starting point — that's roughly 3 trades per day. Scale position sizes down if needed to manage risk across more trades.
Expected impact: Moving from 7 to 30 trades per month dramatically reduces variance and lets the 74.4% system win rate work for you instead of relying on the luck of small samples.The gap: High-performing assets like SOL (92% WR), NEAR (100% WR), and XRP (89% WR) contributed massive PnL. Members who skip "unfamiliar" tickers miss these.
The fix: If the caller signals it, you trade it. The caller has done the analysis. Your job is execution, not re-analysis. The only exception is position sizing — size down on assets you're less comfortable with, but don't skip entirely.
Expected impact: The "non-BTC/ETH" signals generated some of the best risk/reward this month. Participating in all assets gives you exposure to the full +1,214.7% opportunity set.The gap: 43 members tracked entries. The community likely has more participants than that. The portal was new and being tested this period — that's understandable. But now it's live and functional.
The fix: Log every entry and exit in the portal. This isn't just for the community's data — it's for *your* data. You can't improve what you don't measure. Next month's report will be able to show you exactly where you stand relative to callers and other members.
Expected impact: Members who track their trades consistently make better decisions. The act of logging forces intentionality.The gap: The system's average loss is -15.7% (at 10x), which is slightly larger than the average win of +13.8%. The 74.4% win rate makes this work, but only if losses stay contained. Members who move stops or hold through them turn -15% losses into -30% or worse, destroying the profit factor.
The fix: When a trade hits SL, close it. No exceptions. The callers win 74.4% of the time — losing 25.6% of trades isn't failure, it's the cost of doing business in a highly profitable system. A -15.7% average loss is manageable. A -40% blowup because you moved your stop is not.
Expected impact: Maintaining the system's 2.55 profit factor in your own account means your equity curve looks like the callers' — steadily up and to the right.

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