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AZG-BTC-001

BTC Confluence

BTC/USD | CANDIDATE | Created: 2025-04-30

Bitcoin-specific strategy targeting psychological round number zones combined with Fibonacci retracement. Crypto markets respect round numbers ($50K, $60K, $70K) in ways traditional markets do not.

Market Conditions

Primary Condition: ADX > 25 on H4 (trend confirmed)

Secondary: Price approaching psychological round number within trend context

Bonus: Round number aligns with Fibonacci 50% or 61.8% level (confluence)

Entry Criteria

Layer 1: 1D Context

Mark major round numbers ($10K intervals). Note previous reactions at these levels. Confirm daily trend direction.

Layer 2: H4 Trend Engine

ADX > 25 confirms trend strength. BTC trends can be powerful but also prone to sharp reversals.

Layer 3: Confluence Zone

Target entries where round number meets Fibonacci level (e.g., $60K + 61.8% retracement). The strongest setups have both.

Layer 4: H1 Trigger

Crypto moves fast. Look for decisive rejection at level: sharp wick rejection, volume spike rejection, or 5-minute confirmation of level holding.

Invalidation Rules

• Stop loss: Beyond the psychological round number that failed to hold

• BTC volatility spike (multiple $1000 moves in minutes) = exit, reassess

• H1 close beyond round number in wrong direction = pattern invalid

• Crypto-specific: major exchange news/hack/court ruling = stop all positions

Session Filter

BTC never sleeps — but volatility patterns exist:

Preferred: US session overlap with Europe (13:00-20:00 UTC) — highest volume

Caution: Late US/Sunday evenings — lower liquidity, wider spreads

Avoid: Without news filter — crypto news events (SEC announcements, ETF decisions) override technicals

Position Sizing

CANDIDATE phase: 0.5% risk per trade (paper trading / demo)

ACTIVE phase: 1% risk per trade (consider starting at 0.75% given crypto volatility)

Crypto-specific: Use lower leverage than FX. 2-3x max on perps.

Tracking

Trades logged: 0

Wins: 0 | Losses: 0

Win Rate (WR): —%

Risk:Reward (RR):

Status: Awaiting first backtest results