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BTC Fractal Momentum Extremes

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Description – BTC Fractal Momentum Extremes (BTCFME)
BTC Fractal Momentum Extremes (BTCFME) is a multi-factor, multi-method technical indicator designed to detect potential top and bottom reversal points in Bitcoin price action by integrating a confluence of unconventional signals. It combines fractals, adaptive momentum, volume dynamics, price velocity convergence, and market structure shifts — all filtered through real-time volatility and contextualized by temporal market conditions.

This tool is best used by traders looking to spot high-confidence turning points on intraday or swing timeframes, and works particularly well in volatile, momentum-driven environments.

Key Components & Methodology
BTCFME utilizes five independent signal-generation methods:

1. Fractal Volume Divergence
Detects reversal fractals in price (5-bar patterns) and validates them with volume anomalies:

Volume spikes (e.g., climax moves) or

Volume exhaustion (e.g., waning participation)

2. Adaptive Momentum Oscillator
Calculates momentum normalized by ATR-adjusted volatility, filtering out noise in choppy markets. It spots directional shifts when momentum inflects from extreme levels.

3. Market Structure Breaks
Identifies dynamic support and resistance using a configurable lookback, and flags potential breakouts or breakdowns from those levels.

4. Price Velocity Convergence
Analyzes the rate of change (velocity) and its acceleration. When both compress within a narrow volatility range, it signals a potential inflection zone.

5. Temporal Confluence Filter
Signals are only considered valid during active market hours (9 AM – 4 PM, excluding weekends) to reduce false positives during illiquid or inefficient trading periods.

Signal Logic & Sensitivity
Signals are generated when at least 3 out of 4 core methods agree, controlled by the Signal Sensitivity setting:

1 (High Sensitivity) = Trigger signals with fewer confirmations

5 (Low Sensitivity) = Require stronger multi-factor confluence

🔹 Buy (Bottom) Signals trigger when:

Bullish fractals appear

Momentum is deeply negative but improving

Price tests structure support

Velocity compresses below average

🔺 Sell (Top) Signals trigger when:

Bearish fractals with volume spikes appear

Momentum peaks and starts to decline

Price tests resistance

Velocity compresses near highs

Visual Features
Arrows: Buy signals = green arrow below candle. Sell signals = red arrow above candle.

Background Color: Indicates overall momentum regime (green = bullish bias, red = bearish, gray = neutral).

Dynamic Support & Resistance Lines: Based on recent swing highs/lows.

Signal Table (top-right): Shows real-time stats on:

Momentum value

Volatility factor

Volume strength (vs. 20-SMA)

Market structure status

Alerts
You can set alerts using the built-in conditions:

BTC Bottom Alert → Fires on potential market bottoms.

BTC Top Alert → Fires on potential market tops.

These alerts are filtered to avoid whipsaw conditions, by checking that opposite signals did not trigger in the last 2 candles.

How to Use
Timeframes: Best suited for 1H–4H and Daily BTC charts, but adaptable to others with parameter tuning.

Confirm with Price Action: Use BTCFME signals in conjunction with candlestick patterns or S/R zones for best results.

Adjust Sensitivity: Lower values catch more signals (good for scalping), higher values filter for stronger reversals (ideal for swing trades).

Use in Trending or Reversing Markets: BTCFME performs best during trending environments or volatile reversals — avoid during prolonged flat/ranging zones.

Notes & Recommendations
BTCFME is not a standalone buy/sell signal; combine it with risk management and trend confirmation tools.

Avoid using it during extremely low-volume sessions (e.g., late weekends).

Adjust parameters based on BTC's evolving volatility and your trading style.

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.