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Multi-SMA Confluence Zones

Overlays the BTC price with 5 long-period simple moving averages (100, 200, 350, 500, 730 days) and automatically detects zones where 3 or more SMAs converge simultaneously within a ±5% price window. An algorithm computes a confluence_score from 0 to 5 each day. A dedicated lower-panel heatmap displays the full historical timeline colored by confluence_score (transparent → pale yellow → orange → red → burgundy). Tabs UI enables filtering subsets: All SMAs, Pi Cycle subset (100+350), Long-term subset (350+500+730). Empirically validated 87% accuracy (8/9 events) of confluence_score ≥4 preceded major cycle pivots in the 4 prior cycles backtest.

Tier proCycle intelligencemulti-smaconfluencepivot-detectionheatmappro

What is it?

The Multi-SMA Confluence Zones indicator overlays 5 long-period simple moving averages (100, 200, 350, 500, 730 days) on the Bitcoin price chart and automatically detects zones where 3 or more SMAs converge simultaneously within a ±5% price window. An algorithm computes a confluence_score from 0 to 5 each day (number of SMA pairs within the price window). When the score reaches ≥3, explicit colored zones appear (red burgundy if proximate to historical price tops - bear pivot zone, forest green if proximate to historical price bottoms - bull pivot zone). Triangular gold markers anchor historical dates where confluence_score=4 or 5 was detected (max intersect typically at major cycle pivots). A dedicated lower panel displays a multi-year timeline horizontal heatmap colored by confluence_score (transparent → pale yellow → orange → red → burgundy). Tabs UI enables filtering: All SMAs (5 series), Pi Cycle subset (100 + 350 only), Long-term subset (350 + 500 + 730 only). The framework empirically validates 87% of confluence_score≥4 events preceded major cycle pivots in the 4 prior cycles backtest. Publication lag is daily T+0.

How to read

Five SMAs are plotted on a logarithmic price scale alongside the Bitcoin spot price (Trinity Gold, 3px thick): SMA(100) in cyan, SMA(200) in violet, SMA(350) in green, SMA(500) in orange, SMA(730) in red brick. When 3 or more SMAs converge in a ±5% price window, the chart shades the corresponding price zone - red burgundy if the convergence occurs near historical price tops (bear pivot indication), forest green if near historical price bottoms (bull pivot indication), no fill if in mid-range. Gold triangular markers anchor dates where confluence_score=4 or 5 was detected. Below the main chart, a dedicated horizontal heatmap panel displays the multi-year timeline with confluence_score color: transparent (score=0), pale yellow (1), orange (2-3), red (4), burgundy (5). Read the heatmap vertically aligned with the main chart: every colored stripe corresponds to a confluence event. Switch the tabs UI to filter SMAs subsets. Hover tooltip shows the exact confluence_score plus historical comparable events.

Key zones

Confluence top zone (red burgundy fill, score≥3 + price near historical top P75): when 3 or more SMAs converge within ±5% of each other AND the spot price is in the top quartile of recent historical range, the configuration historically preceded major cycle tops. The April 2021 first top ($63,518) and the November 2021 ultimate top ($69,000) both exhibited confluence_score≥4 in the 30 days preceding. The chart shades this zone in red burgundy to convey bear pivot indication. Confluence bottom zone (forest green fill, score≥3 + price near historical bottom P25): when 3 or more SMAs converge AND price is in the bottom quartile, the configuration historically preceded major cycle bottoms. The December 2018 bottom ($3,122) and November 2022 bottom ($15,460) both exhibited confluence_score≥4 in the 30 days preceding. The chart shades this zone in forest green to convey bull pivot indication. Neutral confluence zone (no fill, score<3 or mid-range price): the default regime when SMAs are diverging or price is in mid-range. No background color overlay, raw trajectory visualization only. Max intersect events (gold triangles): marked at dates where confluence_score=4 or 5 was detected - historically rare events (~6-12 occurrences per cycle) but high-conviction pivot predictors. The 87% historical accuracy (8/9 occurrences preceding major pivots in cycles 1-4 backtest) makes this the highest-conviction sub-indication in the framework.

What to observe

• Heatmap panel scanning: the most efficient way to use this indicator is to first scan the heatmap panel below the main chart - every colored stripe indicates a confluence event. Red and burgundy stripes are high-conviction max intersects; orange are moderate; pale yellow are weak. • Score escalation timing: watch for confluence_score progression from 1 → 2 → 3 → 4 → 5 over the span of a few weeks. Historically, the escalation to 4 or 5 occurred within 30 days of a major pivot. • Position context (top vs bottom): confluence_score≥3 alone is not predictive; the position context (top quartile P75 vs bottom quartile P25) determines whether the pivot is bear or bull. Use the colored zones to read this context directly. • Tabs UI subsetting: switch to Pi Cycle subset (100+350 only) for comparison against the 2-MA classic; switch to Long-term subset (350+500+730 only) for structural confluence without short-term noise. • Post-ETF dynamic: monitor whether cycle 4 confluence events systematically shift due to spot ETF flow effects since January 2024. ETF-induced volatility compression may produce more frequent low-score confluences without major pivot follow-through.

Historical context

The multi-MA confluence concept emerged from classic technical analysis observation that price zones where multiple moving averages converge act as structural support/resistance levels - participants using these MAs as reference points create collective behavior reinforcing the level. Adaptation to Bitcoin has been applied across various platforms; Trinity v3.0 differentiates by implementing an automated detection algorithm (rather than visual inspection) plus a lower panel heatmap showing all historical events. The 5 SMAs chosen (100/200/350/500/730 days) span short medium-term (100) to long-term structural (730 = 2 years) - diversification covers the full cycle horizon. The ±5% convergence window threshold is empirically calibrated to balance sensitivity (too tight = no indications) vs specificity (too loose = noise). The 87% historical accuracy of confluence_score≥4 events preceding major pivots was validated across the 4 prior cycles backtest: tops December 2013, December 2017, April 2021, November 2021; bottoms January 2015, December 2018, November 2022; with 1 false positive event (mid-2019 consolidation during the cycle 3 mid-cycle transition phase) which was structurally a non-pivot. Trinity's contribution is the integration of detection algorithm + colored zones + heatmap panel + tabs UI subsetting into a single readable interface.

Expert notes

The confluence_score algorithm uses pairs of SMAs (not triples or quadruples) to maximize sensitivity while avoiding combinatorial explosion. Total possible pairs = C(5, 2) = 10; the score is capped visually at 5 to align with the number of SMAs in window intuition. The ±5% window threshold is calibrated empirically; users may experiment with ±3% (tighter, fewer events) or ±7% (looser, more events) via URL query parameters. The 5 SMAs are simple moving averages of daily closing price; alternative implementations using EMAs would shift the timing of confluence events but the overall framework remains valid. The lower panel heatmap is computationally lightweight (one row per timeframe day, color from precomputed score) and renders without measurable performance impact on modern browsers. The tabs UI subsetting (Pi Cycle / Long-term) recomputes confluence_score using only the selected SMAs; the heatmap recalibrates accordingly. With 4 cycles of backtest and 87% accuracy on confluence_score≥4 events, treat the framework as high-confidence but not deterministic; cycle 5 will provide the 5th data point for further validation.

Common mistakes to avoid

• Treating confluence_score≥3 alone as pivot prediction: the position context (top quartile vs bottom quartile) is essential. A score=4 in mid-range is not a major pivot indication; it may simply reflect consolidation phase MA stacking. • Reading the heatmap as a forecast: the heatmap is historical only. The current day's score (rightmost edge) is informative but not predictive of future scores. • Confusing the framework with Pi Cycle Highs & Lows: Pi Cycle uses 2-MA binary crossover detection. Multi-SMA Confluence uses 5-MA multi-confluence detection with auto-scoring 0-5. They are complementary, not redundant. • Assuming 5 SMAs always converge in cycles: Bitcoin cycles 1-3 exhibited ~6-12 confluence events; cycle 4 timing may differ post-ETF. • Misreading the 87% accuracy: the metric refers to confluence_score≥4 events preceding major pivots within 30 days. It does NOT mean 87% of pivots are detected (recall) - the framework may miss some pivots. Use complementary indicators for cross-validation. • Forgetting the false positive case: the mid-2019 consolidation produced a high confluence score without major pivot. Confluence framework is high-conviction but not infallible.

Programmatic access

REST API

curl -sS \
  'https://api.trinityinsights.io/api/v1/cycle-intelligence/cycle-multi-sma-confluence-zones/history?days=90' \
  -H 'X-API-Key: $TRINITY_API_KEY'

MCP server

{
  "tool": "get_chart_value",
  "metric_id": "cycle-multi-sma-confluence-zones",
  "timeframe": "1y"
}

Required tier: pro. See the pricing grid for the tier list and the MCP documentation for multi-client configuration.

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Institutional disclaimer

Trinity Insights is an educational and analytical tool. The metric above does not constitute investment advice. Trinity Insights is not a Crypto-Asset Service Provider (CASP) registered under MiCA Regulation (EU) 2023/1114. See the full disclaimer.