ETH: VOLANX Pattern Projector Predicts 10K by 2030. It's 2025!

Notes:

Multi-Timeframe Liquidity Reaction Framework

Define Your Timeframes

Higher-TF (Daily / 4-hour)

Map major liquidity zones (daily highs/lows, order-block clusters).

Note structural breaks and fair-value gaps around $3,200–$3,300 and $3,800–$4,000 (Murphy, 1999).

Mid-TF (1-hour)

Observe zone tests: wick‐rejections, two‐bar reversals, volume spikes.

Tag each test as “acceptance” (close within zone) or “rejection” (long wick through zone) (Bulkowski, 2008).

Lower-TF (15-/5-minute)

Fine-tune entries: look for micro-order-blocks, VWAP pullbacks, or oscillators divergences immediately post-test.

Set Up Your Research Template

Zone (TF) Date/Time Price Level Test Type Volume %Δ Next Move (pips / %) Notes
Daily Highs (D) 2025-08-03 07:00 $3,800 Rejection +45% +2.5% ↑ Bearish wick test
Order Block (4H) 2025-08-02 16:00 $3,250 Acceptance +30% +1.8% ↑ Smooth retest
… … … … … … …

Measure & Analyze

Wick Length vs. Zone Width: Wick ≥ 50% zone width → higher-prob rejection.

Volume Delta: Spike > 30% above 20-period average → institutional activity.

Post-Test Trend: Record 1-bar, 3-bar, and 6-bar returns after zone interaction.

Iterate & Refine

Review which zones yield reliable continuations versus false breaks.

Adjust zone boundaries (expand/contract by ATR) based on statistical edge.

Incorporate into your DSS for automated alerts when high-prob setups appear.

“By systematically logging zone interactions and subsequent moves, you’ll quantify which liquidity tests offer the best risk-reward and tune your entries for optimal efficiency.”

References
Bulkowski, T. N. (2008). Encyclopedia of candlestick charts. John Wiley & Sons.
Murphy, J. J. (1999). Technical analysis of the financial markets. New York Institute of Finance.