📊 1. Performance Snapshot
We track performance using R-based results (risk-adjusted, system-consistent).
The Lab — Performance Summary
Period | Trades | Wins | Losses | Win Rate | Net Result |
|---|---|---|---|---|---|
Last 7 Days | 14 | 10 | 3 | 71.4% | +19.30R |
Last 30 Days | 43 | 27 | 15 | 62.8% | +24.02R |
This marks the first full month of The Lab.
Despite a challenging environment defined by:
holiday-thinned liquidity
tax-loss selling flows
frequent stop-hunts and false breaks
…the systems remained net positive, controlled, and consistent.
💡 What does this mean in practice?
If you risked $50 per trade:
+19.30R ≈ +$965 over the last 7 days
+24.02R ≈ +$1,201 over the last 30 days
This example is illustrative only — results depend on execution, discipline, and risk management.
We focus on process over weeks, not isolated outcomes.
📌 2. Market Context — Holiday Conditions Matter
We are trading into a seasonally distorted period.
Christmas week historically brings:
thinner order books
reduced institutional participation
increased fakeouts and stop-driven volatility
Tax-loss selling (TLS) is not the only factor, but after a strong year into Q4, it is a meaningful contributor to the current chop-heavy environment.
Our stance:
Short-term: caution and selectivity
Mid-term: bullish bias intact, but open to downside liquidity sweeps
This is positioning, not momentum chasing.
📉 3. BTC — Range, Not Trend
BTC remains locked inside a well-defined range.
Key levels (high-level):
Support zone: low–mid 80k area
Resistance zone: low 90k area
Price continues to move level to level, not trend cleanly.
What stands out:
Funding remains neutral → no long overcrowding
Open Interest rises into resistance, then fades
Futures premium stays negative → defensive positioning
Spot activity spikes align with liquidations, not sustained buying
Takeaway:
This is a liquidity game, not organic expansion.
Expect:
chop and fakeouts
failed breakouts without higher time-frame acceptance
better opportunities at range extremes, not mid-range
📉 4. ETH — Tradable, Not Trendable
ETH continues to behave as a derivative of BTC, not an independent market.
Structure remains capped below higher time-frame resistance, with:
weak momentum
rotational behavior between defined levels
Until BTC resolves its range, ETH is best treated as:
a range-trading asset
reactive, not predictive
🔍 5. Altcoin Watchlist (Lite)
We are not chasing fresh breakouts.
Current focus:
HYPE — follow-up strength, watching consolidation behavior
UNI — former playbook idea, now monitoring pullbacks after breakout
BCH — holding structure post-impulse, awaiting confirmation
Execution remains selective and system-dependent.
Full levels, entries, and invalidation logic remain Premium-only.
🧭 6. Key Themes for the Week
Holiday markets = chop > trend
Patience beats activity
Breakouts require confirmation
Mean reversion and range reactions remain dominant
Risk stays conservative
🔒 Want the Full Playbook?
The free digest is the high-level outlook.
Inside The Lab Premium you get:
✓ Full Weekly Playbook
✓ Detailed setups (entries, SL, TP logic)
✓ System bias (SML1 / SML2 / SML3)
✓ Trader breakdown
✓ BTC, ETH, and altcoin charts
✓ Weekly stats & R-based transparency
✓ Real-time trades via The Lab Bot
Join here → The Lab premium (30 / 180 days plan) via Lemonsqueezy
or join via our free Discord.
⚠️ 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.
🧮 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.