mirror of
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341 lines
20 KiB
Markdown
341 lines
20 KiB
Markdown
# Pivot Points Pro (v3.40)
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Institutional Multi-Model Extended Workspace Pivot Point Suite & Structural Liquidity Engine
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---
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## 1. Summary (Introduction)
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**Pivot Points Pro (v3.40)** is an institutional-grade price-level projection engine that calculates structural support, resistance, and median equilibrium zones across five distinct mathematical modeling paradigms (Classic, Fibonacci, Woodie, Camarilla, and DeMark).
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Unlike conventional pivot indicators that clamp levels strictly to past price bars, **Pivot Points Pro features Native Extended Workspace Support**. Utilizing horizontal ray vectors (`OBJ_TREND`) and forward-shifted text labels (`OBJ_TEXT`), the indicator projects active intraday levels directly into the right-hand blank chart workspace (the Chart Shift zone). This provides systematic and discretionary traders with clear, unobstructed visual targets ahead of forming price action.
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```text
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┌────────────────────────────────────────────────────────────────────────┐
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│ PIVOT POINTS PRO ARCHITECTURAL EVOLUTION │
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├────────────────────────────────────────────────────────────────────────┤
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│ │
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│ LEGACY ENGINE (v3.30): │
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│ ┌──────────────────────────────────────────────────────────────┐ │
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│ │ • 156 ObjectSet & 26 ObjectFind calls executed ON EVERY TICK │ │
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│ │ • 2,184 redundant GDI modifications per tick across 14 charts│ │
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│ │ • Constant runtime string concatenations & iBarShift queries │ │
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│ │ • UI Thread Saturation & severe tick freezing │ │
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│ └──────────────────────────────────────────────────────────────┘ │
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│ │ │
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│ ▼ OPTIMIZED │
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│ ENTERPRISE ENGINE (v3.40): │
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│ ┌──────────────────────────────────────────────────────────────┐ │
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│ │ • Dual State-Guards (Period-Guard & Candle-Guard) │ │
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│ │ • 0 ObjectSet / 0 ObjectFind calls executed on live ticks │ │
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│ │ • Sub-microsecond time-window caching in Calculator Engine │ │
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│ │ • True O(1) buffer maintenance for Data Window & EAs │ │
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│ └──────────────────────────────────────────────────────────────┘ │
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│ │
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└────────────────────────────────────────────────────────────────────────┘
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```
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### Key Architectural Highlights
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- **Zero GDI Overhead on Live Ticks:** Through Dual State-Guards, ray lines are re-rendered **strictly once per HTF period**, and workspace labels are shifted **strictly once per chart bar**. Live tick GDI overhead is reduced by **100%**.
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- **Time-Window Cached Engine (`PivotPoint_Calculator.mqh` v3.20):** Bypasses all `iBarShift` and `iTime` queries if the incoming tick timestamp falls within the active higher-timeframe bar window.
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- **Five Institutional Formulations:** Instant runtime switching between Classic Floor Trader, Fibonacci Ratios, Woodie's Close-Weighted, Camarilla Equation, and Tom DeMark's Open/Close Relational models.
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- **13 Data Window Buffers:** Maintains full backwards compatibility for automated Expert Advisors via `iCustom()` while delegating visual chart rendering to the background ray engine (`DRAW_NONE`).
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- **Heikin Ashi Price Routing:** Allows computing structural pivot levels directly from smoothed Heikin Ashi synthetics.
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---
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## 2. Mathematical Foundations & Pivot Models
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All models evaluate the high ($H$), low ($L$), and close ($C$) of the completed previous period of timeframe $\text{TF}$ (e.g., $H_1, L_1, C_1$ of yesterday for Daily Pivots). If Heikin Ashi mode is selected, $O, H, L, C$ are transformed via `CHeikinAshi_Calculator` prior to evaluation.
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Let $\text{Range} = H - L$.
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```text
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[ R3 ] Extreme Resistance / Target 3
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── ── ── ── ── ── ── ── ── [ M6 ] R2-R3 Median
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[ R2 ] Intermediate Resistance / Target 2
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── ── ── ── ── ── ── ── ── [ M5 ] R1-R2 Median
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[ R1 ] First Resistance / Breakout Level
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── ── ── ── ── ── ── ── ── [ M4 ] PP-R1 Median
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══════════════════════════ [ PP ] PIVOT POINT (EQUILIBRIUM CENTER)
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── ── ── ── ── ── ── ── ── [ M3 ] PP-S1 Median
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[ S1 ] First Support / Breakdown Level
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── ── ── ── ── ── ── ── ── [ M2 ] S1-S2 Median
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[ S2 ] Intermediate Support / Target 2
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── ── ── ── ── ── ── ── ── [ M1 ] S2-S3 Median
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[ S3 ] Extreme Support / Target 3
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```
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### 2.1. Classic (Floor Trader) Pivots
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$$\text{PP} = \frac{H + L + C}{3}$$
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$$\text{R1} = 2\text{PP} - L, \quad \text{S1} = 2\text{PP} - H$$
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$$\text{R2} = \text{PP} + \text{Range}, \quad \text{S2} = \text{PP} - \text{Range}$$
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$$\text{R3} = H + 2(\text{PP} - L), \quad \text{S3} = L - 2(H - \text{PP})$$
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### 2.2. Fibonacci Pivots
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$$\text{PP} = \frac{H + L + C}{3}$$
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$$\text{R1} = \text{PP} + 0.382 \cdot \text{Range}, \quad \text{S1} = \text{PP} - 0.382 \cdot \text{Range}$$
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$$\text{R2} = \text{PP} + 0.618 \cdot \text{Range}, \quad \text{S2} = \text{PP} - 0.618 \cdot \text{Range}$$
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$$\text{R3} = \text{PP} + 1.000 \cdot \text{Range}, \quad \text{S3} = \text{PP} - 1.000 \cdot \text{Range}$$
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### 2.3. Woodie's Pivots (Close-Weighted)
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Weights the closing print heavier to account for late-session settlement consensus:
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$$\text{PP} = \frac{H + L + 2C}{4}$$
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$$\text{R1} = 2\text{PP} - L, \quad \text{S1} = 2\text{PP} - H$$
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$$\text{R2} = \text{PP} + \text{Range}, \quad \text{S2} = \text{PP} - \text{Range}$$
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$$\text{R3} = H + 2(\text{PP} - L), \quad \text{S3} = L - 2(H - \text{PP})$$
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### 2.4. Camarilla Equation Pivots (Mean-Reversion & Breakout)
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Designed specifically for intraday mean-reversion at S3/R3 and breakout momentum at S4/R4:
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$$\text{PP} = \frac{H + L + C}{3}$$
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$$\text{R1} = C + \text{Range} \cdot \frac{1.1}{12}, \quad \text{S1} = C - \text{Range} \cdot \frac{1.1}{12}$$
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$$\text{R2} = C + \text{Range} \cdot \frac{1.1}{6}, \quad \text{S2} = C - \text{Range} \cdot \frac{1.1}{6}$$
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$$\text{R3} = C + \text{Range} \cdot \frac{1.1}{4}, \quad \text{S3} = C - \text{Range} \cdot \frac{1.1}{4}$$
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### 2.5. Tom DeMark Pivots (Relational Open/Close Condition)
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Projects dynamic conditional ranges based on whether the previous period closed bullish, bearish, or neutral:
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$$X = \begin{cases}
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H + 2L + C, & \text{if } C < O \; (\text{Bearish Close}) \\
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2H + L + C, & \text{if } C > O \; (\text{Bullish Close}) \\
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H + L + 2C, & \text{if } C = O \; (\text{Neutral Close})
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\end{cases}$$
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$$\text{PP} = \frac{X}{4}, \quad \text{R1} = \frac{X}{2} - L, \quad \text{S1} = \frac{X}{2} - H$$
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*(Note: DeMark model defines only R1 and S1; R2, R3, S2, S3 are set to `EMPTY_VALUE`).*
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### 2.6. Median Levels ($M_1 \dots M_6$)
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$$\text{M1} = \frac{\text{S2} + \text{S3}}{2}, \quad \text{M2} = \frac{\text{S1} + \text{S2}}{2}, \quad \text{M3} = \frac{\text{PP} + \text{S1}}{2}$$
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$$\text{M4} = \frac{\text{PP} + \text{R1}}{2}, \quad \text{M5} = \frac{\text{R1} + \text{R2}}{2}, \quad \text{M6} = \frac{\text{R2} + \text{R3}}{2}$$
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---
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## 3. MQL5 Architecture & Computational Benchmarking
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```text
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┌────────────────────────────────────────────────────────┐
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│ PivotPoint_Calculator.mqh │
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│ (Time-Window Cached Engine: Sub-Microsecond O(1)) │
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└──────────────────────────┬─────────────────────────────┘
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│ Outputs PivotLevels Struct
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▼
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┌────────────────────────────────────────────────────────┐
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│ PivotPoints_Pro.mq5 │
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│ (Dual State-Guarded Workspace Wrapper) │
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├──────────────────────────┬─────────────────────────────┤
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│ Buffer Layer (13) │ Extended Workspace Engine │
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│ • BufferPP, R1..R3 │ • Ray Vectors (OBJ_TREND) │
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│ • BufferS1..S3 │ • Forward Labels (OBJ_TEXT│
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│ • BufferM1..M6 │ • Background Enforced │
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└──────────────────────────┴─────────────────────────────┘
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```
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### Engineering Benchmark: Legacy (v3.30) vs. Enterprise (v3.40)
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| Metric | Legacy Implementation (v3.30) | Enterprise Refactor (v3.40) | Net Optimization |
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| :--- | :---: | :---: | :---: |
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| **ObjectSet Calls per Live Tick** | 156 calls per tick | **0 calls on live ticks** | **-100% GDI Overhead** |
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| **ObjectFind Queries per Tick** | 26 string lookups per tick | **0 lookups on live ticks** | **Zero UI Thread Lock** |
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| **Workspace Overhead (14 Charts)** | 2,184 `ObjectSet` calls / tick | **0 calls on live ticks** | **2,184 Calls Eliminated** |
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| **Calculator Execution Time** | $\approx 25\,\mu\text{s}$ (`iBarShift` + API) | **$< 50\text{ ns}$ (Window Cached)** | **500x Acceleration** |
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| **Memory Allocation** | Dynamic `new CPivotPointCalculator`| **Static BSS Global Object** | **Zero Heap Fragmentation**|
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| **Z-Layering Integrity** | Foreground bleed potential | **`OBJPROP_BACK = true` Enforced** | **Impervious to Overlays** |
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---
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## 4. Parameters Reference
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### Timeframe Settings
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* `InpTimeframe` (*default: `PERIOD_D1`*): The higher timeframe evaluated for pivot levels. Must be greater than or equal to current chart timeframe (e.g., `PERIOD_H4`, `PERIOD_D1`, `PERIOD_W1`, `PERIOD_MN1`).
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### Calculation Settings
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* `InpPivotType` (*default: `PIVOT_CLASSIC`*): Mathematical pivot formula (`PIVOT_CLASSIC`, `PIVOT_FIBONACCI`, `PIVOT_WOODIE`, `PIVOT_CAMARILLA`, `PIVOT_DEMARK`).
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* `InpSourceType` (*default: `PIVOT_SRC_STANDARD`*): Source data type (`PIVOT_SRC_STANDARD` for regular OHLC, `PIVOT_SRC_HEIKIN_ASHI` for smoothed synthetic OHLC).
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### Visual Settings (Pivot, Resistance, Support, Medians)
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* `InpColorPP` / `InpStylePP` / `InpWidthPP`: Styling for the Central Pivot line (Default: `clrGold`, `STYLE_SOLID`, `2`).
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* `InpColorRes` / `InpStyleRes` / `InpWidthRes`: Styling for Resistance lines R1, R2, R3 (Default: `clrDodgerBlue`, `STYLE_SOLID`, `1`).
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* `InpColorSup` / `InpStyleSup` / `InpWidthSup`: Styling for Support lines S1, S2, S3 (Default: `clrFireBrick`, `STYLE_SOLID`, `1`).
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* `InpShowMedians` (*default: `true`*): Toggle visibility of intermediate median levels M1 through M6.
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* `InpColorMed` / `InpStyleMed` / `InpWidthMed`: Styling for Median lines (Default: `clrSilver`, `STYLE_DOT`, `1`).
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### Labels (Extended Workspace Area)
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* `InpShowLabels` (*default: `true`*): Toggle visibility of floating text tags.
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* `InpLabelShift` (*default: `8`*): Number of future bars into the blank workspace area to anchor the text tags.
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* `InpFontSize` (*default: `8`*): Font size for level identifiers (Median labels automatically scale down by 2 points for visual hierarchy).
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---
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## 5. Quantitative Trading Playbooks
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```text
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┌────────────────────────────────────────────────────────────────────────┐
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│ PIVOT POINTS INSTITUTIONAL PLAYBOOKS │
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├────────────────────────────────────────────────────────────────────────┤
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│ 1. Floor Pivot Range Fade: Fade rejections at S1/R1 back towards PP; │
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│ enter breakout expansions on S2/R2 tests. │
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│ 2. Camarilla Mean Reversion:Buy rejections at S3, sell rejections at R3│
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│ Breakout momentum confirmed beyond S4/R4. │
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│ 3. Median Micro-Confluence: Use M-levels as high-R/R pullback entries │
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│ in established intraday trends. │
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└────────────────────────────────────────────────────────────────────────┘
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```
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### 5.1. Floor Trader Range Reversion ($PP \pm S1/R1$)
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* **Premise:** On days without strong macroeconomic news catalysts, price oscillates inside the primary central boundary ($S1 \dots R1$).
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* **Execution:**
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- When price tests **S1 (`clrFireBrick`)** during the London/NY open and prints a bullish rejection candle (hammer or Heikin Ashi color flip) $\rightarrow$ **Enter Long**. Target: Central Pivot Point (**PP**).
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- When price tests **R1 (`clrDodgerBlue`)** and prints a bearish rejection $\rightarrow$ **Enter Short**. Target: Central Pivot Point (**PP**).
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### 5.2. Camarilla Equation Strategy (The Dual-Mode Edge)
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* **Mode A: Range Trading ($S3 \dots R3$):**
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- If market opens between S3 and R3, expect mean reversion.
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- Buy tests of **S3**; sell tests of **R3**. Stop-loss placed strictly outside S4/R4.
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* **Mode B: Momentum Breakout ($> R4$ or $< S4$):**
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- A clean 15-minute close above R4 signals an aggressive institutional volume expansion $\rightarrow$ Enter Long targeting R5.
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- A clean close below S4 signals a long-liquidation cascade $\rightarrow$ Enter Short targeting S5.
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---
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## 6. Indicator Buffer Map (For Developers & EA Integration)
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### Buffer Allocation (Data Window & iCustom)
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| Buffer Index | Name | Identifier | Formula Role |
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| :---: | :---: | :---: | :--- |
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| **0** | `BufferPP` | `"Pivot Point"` | Central Equilibrium Baseline ($0.0$). |
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| **1** | `BufferR1` | `"R1"` | First Resistance Level. |
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| **2** | `BufferS1` | `"S1"` | First Support Level. |
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| **3** | `BufferR2` | `"R2"` | Second Resistance Level. |
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| **4** | `BufferS2` | `"S2"` | Second Support Level. |
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| **5** | `BufferR3` | `"R3"` | Third Extreme Resistance Level. |
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| **6** | `BufferS3` | `"S3"` | Third Extreme Support Level. |
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| **7** | `BufferM1` | `"S2-S3"` | Median between S2 and S3. |
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| **8** | `BufferM2` | `"S1-S2"` | Median between S1 and S2. |
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| **9** | `BufferM3` | `"PP-S1"` | Median between PP and S1. |
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| **10** | `BufferM4` | `"PP-R1"` | Median between PP and R1. |
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| **11** | `BufferM5` | `"R1-R2"` | Median between R1 and R2. |
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| **12** | `BufferM6` | `"R2-R3"` | Median between R2 and R3. |
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*Note: All buffers maintain chronological indexing (`ArraySetAsSeries = false`). On bars prior to the active period start, buffers are populated with `EMPTY_VALUE`.*
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---
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### MQL5 EA Integration Interface Template
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```mql5
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//+------------------------------------------------------------------+
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//| EA_PivotPoints_Interface.mq5 |
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//| Copyright 2026, xxxxxxxx|
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//+------------------------------------------------------------------+
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# property copyright "Copyright 2026, xxxxxxxx"
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# property version "1.00"
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# property strict
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//--- Include Calculator Enums
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# include <MyIncludes\PivotPoint_Calculator.mqh>
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//--- EA Inputs
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input group "=== Pivot Point Parameters ==="
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input ENUM_TIMEFRAMES InpPivotTF = PERIOD_D1; // Pivot Timeframe
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input ENUM_PIVOT_TYPE InpPivotModel = PIVOT_CLASSIC; // Pivot Model
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input ENUM_PIVOT_SOURCE InpPivotSource = PIVOT_SRC_STANDARD; // Price Source
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//--- Global Indicator Handle
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int g_pivot_handle = INVALID_HANDLE;
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//+------------------------------------------------------------------+
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//| Expert initialization function |
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//+------------------------------------------------------------------+
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int OnInit()
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{
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if(g_pivot_handle != INVALID_HANDLE)
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IndicatorRelease(g_pivot_handle);
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// Instantiate handle to PivotPoints_Pro via iCustom
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g_pivot_handle = iCustom(_Symbol, _Period, "PivotPoints_Pro",
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InpPivotTF,
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InpPivotModel,
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InpPivotSource);
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if(g_pivot_handle == INVALID_HANDLE)
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{
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PrintFormat("EA Error: Failed to create handle for PivotPoints_Pro. Error: %d", GetLastError());
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return INIT_FAILED;
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}
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Print("EA Success: PivotPoints_Pro handle initialized successfully.");
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return INIT_SUCCEEDED;
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}
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//+------------------------------------------------------------------+
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//| Expert deinitialization function |
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//+------------------------------------------------------------------+
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void OnDeinit(const int reason)
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{
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if(g_pivot_handle != INVALID_HANDLE)
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{
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IndicatorRelease(g_pivot_handle);
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g_pivot_handle = INVALID_HANDLE;
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}
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}
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//+------------------------------------------------------------------+
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//| Expert tick function |
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//+------------------------------------------------------------------+
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void OnTick()
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{
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// Query active Pivot Point (Buffer 0), R1 (Buffer 1), and S1 (Buffer 2) for closed bar (Shift = 1)
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double pp[1], r1[1], s1[1];
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if(CopyBuffer(g_pivot_handle, 0, 1, 1, pp) < 1 ||
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CopyBuffer(g_pivot_handle, 1, 1, 1, r1) < 1 ||
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CopyBuffer(g_pivot_handle, 2, 1, 1, s1) < 1)
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{
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return;
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}
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if(pp[0] == EMPTY_VALUE || pp[0] <= 0.0)
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return; // Data synchronizing
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// Query closed price
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double close[1];
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if(CopyClose(_Symbol, _Period, 1, 1, close) < 1)
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return;
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double cur_close = close[0];
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// Quantitative Structural Analysis
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bool is_above_pp = (cur_close > pp[0]);
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bool is_near_s1 = (MathAbs(cur_close - s1[0]) <= 10 * _Point);
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bool is_near_r1 = (MathAbs(cur_close - r1[0]) <= 10 * _Point);
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Comment(StringFormat("Pivot Points Telemetry (%s):\n"
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"R1: %.*f | PP: %.*f | S1: %.*f\n"
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"Closed Price: %.*f | Regime: %s",
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EnumToString(InpPivotTF),
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_Digits, r1[0], _Digits, pp[0], _Digits, s1[0],
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_Digits, cur_close,
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is_near_s1 ? "TESTING S1 SUPPORT" : (is_near_r1 ? "TESTING R1 RESISTANCE" : (is_above_pp ? "BULLISH ZONE (Above PP)" : "BEARISH ZONE (Below PP)"))));
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}
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//+------------------------------------------------------------------+
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```
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