📊 1. Performance Snapshot
We track performance using R-based results - a risk-adjusted metric that normalizes outcomes across assets, volatility, and position sizing.
The Lab - Performance Summary
Period | Trades | Wins | Losses | Win Rate | Net Result |
|---|---|---|---|---|---|
Last 7 Days | 1 | 1 | 0 | 100.0% | +0.59R |
Last 200 Days | 71 | 47 | 21 | 66.2% | +52.83R |
Trade activity remained intentionally selective.
This week was less about execution and more about letting the market resolve excess after a high-volatility event.
🌍 2. Market Context - Liquidation, Not Capitulation

Over the weekend, crypto markets experienced a large liquidation event, driven by macro uncertainty and headline risk. This kind of move tends to finish a downside leg, not start a fresh one.
Importantly, price was forced into a predefined liquidity zone between ~$75k and $80k on BTC - an area we had already highlighted in prior outlooks.
That matters because markets usually behave differently after leverage is cleared:
Forced selling slows
Positioning resets
Rebounds and ranges become more likely than clean continuation
This does not mean the bottom is confirmed - but it does mean the market is now in a support-discovery phase, not free fall.
₿ 3. Bitcoin - Support in Focus


Bitcoin has moved level-to-level and is now trading at major higher-timeframe support.
Key observations:
Leverage has been flushed
Funding has cooled
Spot activity increased during the selloff
This combination is typical after an excessive move, when downside momentum weakens and price begins searching for acceptance.
Base case:
A rebound attempt and potential sideways phase, as long as current support holds. A retest of the lows remains possible, but late shorts here carry asymmetric risk.
Ξ 4. Ethereum - Reactive, Not Leading

Ethereum followed BTC lower and lost several previously defended levels, revisiting zones discussed in earlier playbooks.
ETH is now trading at support, but without fresh upside structure. Any bounce from here is likely reactive, not trend-driven.
For now, ETH remains a secondary signal, not a leader.
🔍 5. Altcoin Watchlist (Lite)
Rather than chasing narratives, we’re watching structure and relative strength:
BCH - Holding constructive structure; BCH/BTC remains one of the cleaner relative-strength charts
HYPE - Clean breakout from base; short-term momentum intact
No urgency. These are monitoring candidates, not blind buys.
🧭 6. Lab Note of the Week
After liquidation events, edge shifts.
This is no longer a momentum environment - it’s a reaction environment.
Markets are volatile and news-driven, but many assets are now sitting at or near defined support. That favors patience, not prediction.
We are cautiously open to long exposure if support proves itself - and deliberately avoiding late shorts after forced selling.
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⚠️ Disclaimer
This newsletter is for informational and educational purposes only. We have positions in the assets discussed here. It does not constitute financial advice, trading advice, or investment recommendations. Any market commentary, analysis, charts, or outlooks reflect our personal opinions and are not guarantees of future performance.
Cryptocurrency trading involves significant risk and may not be suitable for all investors. Always conduct your own research and consider your risk tolerance before making trading decisions. The Lab, its contributors, and its systems (SML1/SML2/SML3) do not take responsibility for losses incurred from trades based on this content.
📚 Appendix - About The Lab
Core Systems
SML1: Mean reversion & volatility extremes
SML2: Support / resistance reactions
SML3: Breakouts & trend transitions
Traders
Chris (Stockmoney Lizards): Macro & structure
Cryptex Guy: Fibonacci precision
Bitcoin Wizard: Sentiment & psychology
🧮 How We Measure Performance at The Lab
All performance is tracked using R-based results, a professional risk-adjusted metric used by systematic traders.
1R = 1 unit of risk, defined by the distance between entry and stop-loss.
A trade that returns +2R means it earned 2× the initial risk.
A trade that returns –1R means the full risk unit was lost.
Why this matters:
It normalizes all trades, regardless of position size or asset.
It prevents emotional interpretation of wins/losses.
It shows true system performance over time.
It allows us to compare trades and weeks on the same scale.
Our weekly and monthly stats reflect the net sum of R across all closed trades.
This ensures the results remain objective, consistent, and comparable across all market conditions.