Quick Note

Markets are not behaving how most expected.

Stocks are pushing back toward highs,
while just weeks ago the dominant narrative was downside (oil, geopolitics, etc.).

That shift matters.

We’re not in a clean trend environment -
we’re in a reaction-driven market.

This digest stays focused on short-term structure and opportunities.
Macro + broader views → shared on X.

📊 Performance

The Lab – Performance Summary

Period

Trades

Wins

Losses

Win Rate

Net Result

Last 7 Days

11

7

4

63.6%

+16.35R

Last 300 Days

199

131

63

65.8%

+168.61R

Strong week. Consistent execution.

₿ Bitcoin

Bitcoin is back at a key level (~79–80k).

We’re effectively sitting at resistance again (and currently it looks like rejection).

What happens here matters.

Two scenarios

Breakout (20% likelihood)
→ move above resistance
→ hold on retest
→ continuation higher

Rejection (80% likelihood)
→ move lower first
→ take out liquidity
→ then recover

Both paths are valid right now.

Context

Positioning is increasing, but:

  • spot demand remains muted

  • funding is rising slightly

  • moves still feel fragile

This is not a clean breakout environment yet.

Takeaway

We’re at a decision point.

Not the place to force trades.

Wait for confirmation -
either on a breakout, or after a move lower.

🔎 Altcoins

This week we’re shifting focus toward longer-term setups.

ZEC - Breakout Holding

ZEC broke out and is holding above prior structure.

As long as that holds:

→ continuation higher is likely
→ next major reference: higher timeframe resistance (incl. 200 EMA)

If it loses structure → move back into range.

INJ - Accumulation Phase

INJ has fully reset after a long downtrend.

Now:

→ forming a base
→ attempting early breakout

This is typical early-cycle positioning.

👉 Full watchlist, levels, and execution plans are inside The Lab.

đŸ§Ș Lab Note of the Week

BTC is compressing at resistance again.

That usually leads to a move.

Either:

  • clean breakout

  • or one more sweep lower first (more likely scenario)

Both can lead higher.

What matters is how price reacts - not guessing direction early.

Positioning is increasing, but:

  • spot demand remains muted

  • funding is rising slightly

  • moves still feel fragile

This is not a clean breakout environment yet.

🔒 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

⚠ 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.

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