NQ Points of Interest Suite (Fixed)Defines pre level of support and resistance
Daily MID LOW OPEN CLOSE
WEEKLY MID LOW OPEN CLOSE
MONTHLY MID LOW OPEN CLOSE
Indicadores e estratégias
EMA21 Pullback BuyEMA21 Pullback Buy is a tool designed to identify constructive pullbacks to the 21-period EMA in strong uptrends.
It highlights candles where:
• The previous close was above EMA21
• The current low touches or dips below EMA21
• The candle closes back above EMA21
These candles are considered potential “support tests” in a trending stock.
You can configure a maximum number of valid tests to avoid late-stage entries.
The script:
• Colors the test candles (optional)
• Marks them with a small circle
• Triggers a buy signal (green triangle) on the first bullish candle that breaks above the test candle’s high
Optional alerts are included for both:
• New EMA21 test
• Buy trigger after valid test
The goal is to help traders find low-risk entries in clean, trending stocks — without chasing breakouts or reacting emotionally. Best used with strong RS names and proper trend context.
9 EMA Retracement Buy/Sell + Volume FilterFor all you scalpers out there this is a 9 ema scalp Indicator coupled with volume bars, the Indicator plots buy and sell when the conditions are met
Price mist be above or below the 9 ema it must retrace and the volume bar must match the direction of the candle and then a signal will be printed with a red or green triangle, do not blindly take all trades on the signals make sure the is a trend works on any asset and remember it is for scalping only
Triple Moving Average's EMA/SMAThis Pine Script in its final v5 version is a fundamental visual tool that supports traders in quickly identifying the trend and sentiment.
Key Script Goal
This script's primary objective is flexible multi-timeframe analysis of the trend.
The script serves as a universal set of three independent moving averages, which is intended to help you with the visual assessment of the market context:
EMA (20 periods): Serves as dynamic support/resistance for short-term sentiment. It is highly sensitive to recent price action.
SMA1 (50 periods): Typically acts as a medium-term trend indicator. It is often used to identify corrections.
SMA2 (100 periods): Provides a long-term perspective. Its slope and position relative to the price indicate the dominant structural trend.
The script is a base for every trader who relies on technical analysis and Price Action, utilizing moving averages as dynamic S/R levels.
Estrategia Visual PRO: Momentum EditionIndicador con estrategia propia basado en cruce de emas editables son sombreado de tendencia del precio y niveles de soporte y resistencias donde el precio tiene reaccion, tambien cuenta con filtro de rsi donde colorea las velas segun la fuerza del rsi, colores editables y cuando el precio pierde fuerza
This indicator, with its own strategy based on editable EMA crossovers, features price trend shading and support and resistance levels where the price reacts. It also includes an RSI filter that colors the candles according to the strength of the RSI, with editable colors, and alerts you when the price loses strength.
LuxyEnergyIndexThe Luxy Energy Index (LEI) library provides functions to measure price movement exhaustion by analyzing three dimensions: Extension (distance from fair value), Velocity (speed of movement), and Volume (confirmation level).
LEI answers a different question than traditional momentum indicators: instead of "how far has price gone?" (like RSI), LEI asks "how tired is this move?"
This library allows Pine Script developers to integrate LEI calculations into their own indicators and strategies.
How to Import
//@version=6
indicator("My Indicator")
import OrenLuxy/LuxyEnergyIndex/1 as LEI
Main Functions
`lei(src)` → float
Returns the LEI value on a 0-100 scale.
src (optional): Price source, default is `close`
Returns : LEI value (0-100) or `na` if insufficient data (first 50 bars)
leiValue = LEI.lei()
leiValue = LEI.lei(hlc3) // custom source
`leiDetailed(src)` → tuple
Returns LEI with all component values for detailed analysis.
= LEI.leiDetailed()
Returns:
`lei` - Final LEI value (0-100)
`extension` - Distance from VWAP in ATR units
`velocity` - 5-bar price change in ATR units
`volumeZ` - Volume Z-Score
`volumeModifier` - Applied modifier (1.0 = neutral)
`vwap` - VWAP value used
Component Functions
| Function | Description | Returns |
|-----------------------------------|---------------------------------|---------------|
| `calcExtension(src, vwap)` | Distance from VWAP / ATR | float |
| `calcVelocity(src)` | 5-bar price change / ATR | float |
| `calcVolumeZ()` | Volume Z-Score | float |
| `calcVolumeModifier(volZ)` | Volume modifier | float (≥1.0) |
| `getVWAP()` | Auto-detects asset type | float |
Signal Functions
| Function | Description | Returns |
|---------------------------------------------|----------------------------------|-----------|
| `isExhausted(lei, threshold)` | LEI ≥ threshold (default 70) | bool |
| `isSafe(lei, threshold)` | LEI ≤ threshold (default 30) | bool |
| `crossedExhaustion(lei, threshold)` | Crossed into exhaustion | bool |
| `crossedSafe(lei, threshold)` | Crossed into safe zone | bool |
Utility Functions
| Function | Description | Returns |
|----------------------------|-------------------------|-----------|
| `getZone(lei)` | Zone name | string |
| `getColor(lei)` | Recommended color | color |
| `hasEnoughHistory()` | Data check | bool |
| `minBarsRequired()` | Required bars | int (50) |
| `version()` | Library version | string |
Interpretation Guide
| LEI Range | Zone | Meaning |
|-------------|--------------|--------------------------------------------------|
| 0-30 | Safe | Low exhaustion, move may continue |
| 30-50 | Caution | Moderate exhaustion |
| 50-70 | Warning | Elevated exhaustion |
| 70-100 | Exhaustion | High exhaustion, increased reversal risk |
Example: Basic Usage
//@version=6
indicator("LEI Example", overlay=false)
import OrenLuxy/LuxyEnergyIndex/1 as LEI
// Get LEI value
leiValue = LEI.lei()
// Plot with dynamic color
plot(leiValue, "LEI", LEI.getColor(leiValue), 2)
// Reference lines
hline(70, "High", color.red)
hline(30, "Low", color.green)
// Alert on exhaustion
if LEI.crossedExhaustion(leiValue) and barstate.isconfirmed
alert("LEI crossed into exhaustion zone")
Technical Details
Fixed Parameters (by design):
Velocity Period: 5 bars
Volume Period: 20 bars
Z-Score Period: 50 bars
ATR Period: 14
Extension/Velocity Weights: 50/50
Asset Support:
Stocks/Forex: Uses Session VWAP (daily reset)
Crypto: Uses Rolling VWAP (50-bar window) - auto-detected
Edge Cases:
Returns `na` until 50 bars of history
Zero volume: Volume modifier defaults to 1.0 (neutral)
Credits and Acknowledgments
This library builds upon established technical analysis concepts:
VWAP - Industry standard volume-weighted price measure
ATR by J. Welles Wilder Jr. (1978) - Volatility normalization
Z-Score - Statistical normalization method
Volume analysis principles from Volume Spread Analysis (VSA) methodology
Disclaimer
This library is provided for **educational and informational purposes only**. It does not constitute financial advice. Past performance does not guarantee future results. The exhaustion readings are probabilistic indicators, not guarantees of price reversal. Always conduct your own research and use proper risk management when trading.
Alloyz Traders_RSI by Sagar BRSI for Intraday purpose with moving average and volume weightage price added in RSI.
RSI Pivot Breaks█ OVERVIEW
RSI Pivot Breaks is an RSI-based indicator that detects breakout events on oscillator-based pivot levels (RSI or MA RSI).
The tool automatically plots pivot levels, tracks their breakouts, highlights momentum shifts, and generates alerts for key events (pivot breaks and OB/OS crosses).
The indicator is designed primarily for momentum strategies — pivot breakouts often precede directional price moves, making RSI Pivot Breaks a powerful tool for identifying accelerations and changes in strength.
█ CONCEPTS
The indicator analyzes local RSI extremes and transforms them into dynamic support/resistance levels.
When RSI or MA RSI breaks the last pivot, it signals a shift in momentum balance, often leading to an impulse move.
Key concepts:
- pivot highs/lows detected on RSI or MA RSI,
- pivot lines extend forward until broken,
- pivot filters restrict pivot detection to specific RSI zones,
- OB/OS levels provide contextual momentum thresholds.
█ FEATURES
Pivot Detection & Breakouts
- Detection of pivot highs and lows on RSI or MA RSI.
- Pivot filters allow you to limit pivot detection to specific RSI ranges (e.g., only bullish pivots below 50 or bearish pivots above 50).
- Pivot lines update automatically after breakout.
Background highlights:
- green on pivot-high breakouts,
- red on pivot-low breakouts.
RSI & MA RSI
- Dynamic RSI colors based on momentum direction.
- Optional MA RSI line (SMA/EMA/RMA/WMA) usable as a smoother pivot source.
OB / OS Zones
- Fully adjustable overbought/oversold levels.
- Dedicated OB/OS colors.
- Optional gradient backgrounds.
Highlights
- Instant identification of moments when RSI breaks a key pivot level.
Alerts:
- pivot high breakouts.
- pivot low breakouts.
- OB crosses.
- OS crosses.
█ HOW TO USE
Add the indicator:
Indicators → RSI Pivot Breaks.
RSI Settings
- RSI Length – core RSI period.
- RSI MA Length & Type – MA RSI smoothing parameters.
Pivot Settings
- Pivot Left / Pivot Right – number of bars required to form a pivot and also the number of bars of delay before the pivot becomes confirmed.
(Higher values produce more reliable but slower pivots.)
Pivot Filters
- Minimum/maximum allowed RSI levels for pivot Highs and Lows.
- Examples:
- detect only pivot Highs at low RSI values.
- ignore pivots during extreme momentum.
- allow only mid-range pivot detection depending on strategy.
Visualization
- Toggles for RSI and MA RSI visibility.
- Optional gradients.
- Full color and transparency customization.
OB/OS Levels
- Adjustable thresholds depending on instrument volatility and strategy style.
█ SIGNAL INTERPRETATION
BUY
- RSI breaks the latest pivot high.
- RSI crosses upward out of OS.
- Context example: pivot lows forming a rising sequence.
SELL
- RSI breaks the latest pivot low.
- RSI drops downward from OB.
- Context example: pivot highs forming a declining sequence.
Trend / Momentum
- Pivot breakouts indicate acceleration or continuation of momentum.
- MA-based pivots provide smoother and more stable momentum structure.
█ APPLICATIONS
- Momentum Trading – pivot breaks as early acceleration signals.
- Scalping & Intraday – fast RSI pivots react quickly to short-term shifts.
- Swing Trading – smoother pivots using MA RSI for higher-timeframe structure.
- Divergence Detection – pivot behavior helps reveal divergence patterns, e.g.:
- RSI pivots rising while price is falling → potential early momentum reversal.
- Custom Filtering – pivot filters allow, for example:
- blocking bullish signals near OB.
- blocking bearish signals near OS.
- detecting pivots only above/below mid-range during strong trends,
depending entirely on strategy design.
█ NOTES
- Pivot detection includes natural delay equal to the Left/Right parameters.
- Pivot filters significantly change the character of signals, allowing fine-tuning of aggressiveness for any strategy.
Strategia S&P 500 vs US10Y Yield (od 2000)This strategy explores the macroeconomic relationship between the equity market (S&P 500) and the debt market (10-Year Treasury Yield). Historically, rapid spikes in bond yields often exert downward pressure on equity valuations, leading to corrections or bear markets.
The goal of this strategy is capital preservation. It attempts to switch to cash when yields are rising too aggressively and re-enter the stock market when the bond market stabilizes.
Strategia S&P 500 vs US10Y YieldThis strategy explores the macroeconomic relationship between the equity market (S&P 500) and the debt market (10-Year Treasury Yield). Historically, rapid spikes in bond yields often exert downward pressure on equity valuations, leading to corrections or bear markets.
The goal of this strategy is capital preservation. It attempts to switch to cash when yields are rising too aggressively and re-enter the stock market when the bond market stabilizes.
teril 1H EMA50 Harami Reversal Alerts BB Touch teril Harami Reversal Alerts BB Touch (Wick Filter Added + 1H EMA50)
teril Harami Reversal Alerts BB Touch (Wick Filter Added + 1H EMA50)
teril Harami Reversal Alerts BB Touch (Wick Filter Added + 1H EMA50)
teril Harami Reversal Alerts BB Touch (Wick Filter Added + 1H EMA50)
Terils 1hr HTF EMA Add-On EMA 50/100its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
Volatility Value BandsThis indicator is a modern adaptation of Mark Helweg's original Value Charts concept, focused on visually displaying volatility zones and "extreme value" areas directly on the price chart. It does not replicate the original work but draws inspiration from the logic of normalizing price by volatility to highlight statistically stretched regions.
1. Introduction
This study displays three lines directly on the chart:
- a central reference line (base),
- an upper overvaluation band,
- and a lower undervaluation band.
The bands are calculated from the relationship between price, moving average, and volatility (via true range/ATR), following Mark Helweg's Value Charts concept but with a custom implementation and adjustable parameters for different assets and timeframes. This allows objectively visualizing when price is in a statistically extended region relative to its recent behavior.
2. Key Features
- Volatility-normalized base
The indicator converts price deviation into "value units" using a combination of moving average and smoothed volatility (true range/ATR), making levels comparable across different assets and time horizons.
- Auto-adjusting limits (optional)
An automatic mode can calculate upper and lower limits from recent value unit extremes, using a configurable sampling window and percentile, allowing bands to adapt to the current volatility regime without manual recalibration.
- Direct plot on price chart
The three lines (central, upper, and lower) are drawn directly on the main asset chart (`overlay`), making it easy to read context: it's clear when price "touches" or breaks the volatility bands without switching to a separate pane.
- Flexible parameters
Users can control:
- base moving average period (length)
- volatility factor (manual or automatic)
- independent windows for volatility and limits calculation
- limits mode (auto or manual) and percentile used
This allows adapting behavior to different markets (stocks, indices, forex, crypto).
3. How to Use
- Basic interpretation
- When price approaches or exceeds the upper band, it indicates a statistically overvalued zone where the asset is stretched upward relative to recent volatility.
- When price approaches or exceeds the lower band, it indicates a statistically undervalued zone.
- The central line serves as a reference for recent "average value," derived from the base moving average.
- Recommended initial setup
- Choose the Value Chart period (e.g., 144 bars) for the base.
- Enable automatic limits mode for coherent bands matching the asset's volatility.
- Adjust the limits window and percentile for tighter bands (more signals) or wider bands (fewer but more extreme).
- Best practices
- Use bands as context filters, not standalone buy/sell signals. Combine with trend, market structure, or other confirmation indicators.
- Avoid decisions solely because price touched a band; in strong trends, price can "walk the edge" for extended periods.
- Always follow TradingView community rules when publishing: clearly state in the description that the study is "inspired by Mark Helweg's Value Charts concept," without claiming official status, reproducing proprietary code, or violating copyrights.
Scalping EMA9/15 This indicator is designed for high-accuracy intraday scalping based on a refined version of the popular EMA9–EMA15 trend-following technique.
It filters weak or premature entries by requiring a retest of the EMA zone before generating a Buy/Sell signal — drastically reducing false breakouts.
Volume Heikin Ashi by CrugThis indicator combines the Heikin Ashi with classic volume candles.
It is useful to see the trend and "how much" volume it contains
1 - Select Volume Candles on the graph
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2- In setting remove the all the colors
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3- Insert the indicator
4- Using with momentum indicators (like Market liberator B, MACD, ...) it provides more precise and realistic data to plot divergences because it combines: classic japanese candle but with volumes. In the meantime it is easier to see the main trend
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Swing HL**摆动点标注（Swing HL）**
本指标用于在价格图表上标示摆动高点与摆动低点，以辅助用户观察价格结构、波段节奏及潜在支撑/阻力区域。标注以圆点形式叠加在主图上，可通过参数灵活控制显示周期、敏感度及视觉样式，适合作为价格结构分析的辅助工具。
### 参数及用法说明
1. **最小显示时间框架（minSwingTf）**
* 用途：设定摆动点开始显示的最小周期。
* 当前图表周期小于该设置时，不显示任何摆动标注。
* 建议：
* 做中短线结构分析时，可设置为 240 分钟或更高；
* 若需要在更小周期观察结构，可适当降低该参数。
2. **left / right（leftBars / rightBars）**
* 用途：共同控制摆动高点、低点识别的“严格程度”和频率。
* 调整建议：
* 数值较小：标注更频繁，适合关注细节波动、短线结构；
* 数值较大：只保留更明显的摆动点，适合观察中期或波段结构；
* 当图表上摆动点过多、显得拥挤时，可适当增大这两个参数。
3. **标注颜色（dotColor）**
* 用途：设置摆动点圆标的颜色。
* 建议根据图表背景及主图颜色进行调整，以保证摆动点清晰可见但不过于抢眼。
4. **线宽（dotWidth）**
* 用途：控制圆点标注的线宽，从而影响圆点的视觉大小。
* 当需要在高密度数据或缩放较小时保持清晰，可适当增大该数值。
### 使用建议
* 可将本指标作为结构辅助层叠加在任何交易系统之上，用于直观划分价格的波段高低点。
* 进行多周期分析时，可在较大周期（如 4H、日线）上利用本指标确认整体结构，再配合小周期执行入场与风控。
* 当摆动点过多时，可通过提高 `minSwingTf` 或增加 `left` / `right` 参数，使结构标注更加简洁清晰。
* 本指标仅提供价格摆动结构的可视化标注，不直接构成完整的交易信号或策略规则，建议与个人既有分析方法结合使用。
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**Swing HL – Swing High/Low Marker**
This indicator marks swing highs and swing lows on the price chart to assist in reading price structure, swing rhythm, and potential support/resistance zones. Markers are plotted as dots on the main chart, and display behavior can be fully controlled via user inputs such as minimum timeframe, sensitivity, and visual style. It is designed to serve as a structural overlay for discretionary or systematic analysis.
### Inputs and Usage
1. **Minimum Display Timeframe (minSwingTf)**
* Purpose: Defines the minimum timeframe on which swing markers will be shown.
* When the current chart timeframe is below this setting, all swing markers are hidden.
* Guidance:
* For swing or position-style structure analysis, consider using 4H or higher;
* For intraday structural work, you may lower this value as needed.
2. **left / right (leftBars / rightBars)**
* Purpose: Jointly control how strict and how frequent swing highs and lows are marked.
* Tuning:
* Smaller values: More frequent swings, suitable for detailed, lower-timeframe structure;
* Larger values: Only more pronounced swings are kept, suitable for higher-level trend and swing mapping;
* If the chart becomes crowded with markers, increasing these values will simplify the structure.
3. **Marker Color (dotColor)**
* Purpose: Sets the color of the swing markers.
* It is recommended to choose a color that contrasts with the background and main price plot while remaining visually unobtrusive.
4. **Line Width (dotWidth)**
* Purpose: Controls the line width of the dot markers, effectively adjusting their perceived size.
* On dense charts or when zoomed out, a larger value can help maintain readability.
### Practical Notes
* Use this indicator as a structural overlay to highlight swing highs and lows alongside your existing trading tools and methods.
* In multi-timeframe workflows, it can help outline the main structure on higher timeframes (e.g., 4H, Daily), which you then refine on lower timeframes for execution.
* If too many swing points appear, either increase `minSwingTf` or raise the `left` / `right` values to obtain a cleaner structural view.
* The script is intended as a visualization aid for price swings; it does not, by itself, define entry, exit, or risk management rules and should be integrated into a broader analytical framework.
Elliott Wave Full Fractal System v2.0Elliott Wave Full Fractal System v2.0 – Q.C. FINAL (Guaranteed R/R)
Elliott Wave Full Fractal System is a multi-timeframe wave engine that automatically labels Elliott impulses and ABC corrections, then builds a rule-based, ATR-driven risk/reward framework around the “W3–W4–W5” leg.
“Guaranteed R/R” here means every order is placed with a predefined stop-loss and take-profit that respect a minimum Reward:Risk ratio – it does not mean guaranteed profits.
Core Idea
This strategy turns a full fractal Elliott Wave labelling engine into a systematic trading model.
It scans fractal pivots on three wave degrees (Primary, Intermediate, Minor) to detect 5-wave impulses and ABC corrections.
A separate “Trading Degree” pivot stream, filtered by a 200-EMA trend filter and ATR-based dynamic pivots, is then used to find W4 pullback entries with a minimum, user-defined Reward:Risk ratio.
Default Properties & Risk Assumptions
The backtest uses realistic but conservative defaults:
// Default properties used for backtesting
strategy(
"Elliott Wave Full Fractal System - Q.C. FINAL (Guaranteed R/R)",
overlay = true,
initial_capital = 10000, // realistic account size
default_qty_type = strategy.percent_of_equity,
default_qty_value = 1, // 1% risk per trade
commission_type = strategy.commission.cash_per_contract,
commission_value = 0.005, // example stock commission
slippage = 0 // see notes below
)
Account size: 10,000 (can be changed to match your own account).
Position sizing: 1% of equity per trade to keep risk per idea sustainable and aligned with TradingView’s recommendations.
Commission: 0.005 cash per contract/share as a realistic example for stock trading.
Slippage: set to 0 in code for clarity of “pure logic” backtesting. Real-life trading will experience slippage, so users should adjust this according to their market and broker.
Always re-run the backtest after changing any of these values, and avoid using high risk fractions (5–10%+) as that is rarely sustainable.
1. Full Fractal Wave Engine
The script builds and maintains four pivot streams using ATR-adaptive fractals:
Primary Degree (Macro Trend):
Captures the large swings that define the major trend. Labels ①–⑤ and ⒶⒷⒸ using blue “Circle” labels and thicker lines.
Intermediate Degree (Trading Degree):
Captures the medium swings (swing-trading horizon). Uses teal labels ( (1)…(5), (A)(B)(C) ).
Minor Degree (Micro Structure):
Tracks short-term swings inside the larger waves. Uses red roman numerals (i…v, a b c).
ABC Corrections (Optional):
When enabled, the engine tries to detect standard A–B–C corrective structures that follow a completed 5-wave impulse and plots them with dashed lines.
Each degree uses a dynamic pivot lookback that expands when ATR is above its EMA, so the system naturally requires “stronger” pivots in volatile environments and reacts faster in quiet conditions.
2. Theory Rules & Strict Mode
Normal Mode: More permissive detection. Designed to show more wave structures for educational / exploratory use.
Strict Mode: Enforces key Elliott constraints:
Wave 3 not shorter than waves 1 and 5.
No invalid W4 overlap with W1 (for standard impulses).
ABC Logic: After a confirmed bullish impulse, the script expects a down-up-down corrective pattern (A,B,C). After a bearish impulse, it looks for up-down-up.
3. Trend Filter & Pivots
EMA Trend Filter: A configurable EMA (default 200) is used as a non-wave trend filter.
Price above EMA → Only long setups are considered.
Price below EMA → Only short setups are considered.
ATR-Adaptive Pivots: The pivot engine scales its left/right bars based on current ATR vs ATR EMA, making waves and trading pivots more robust in volatile regimes.
4. Dynamic Risk Management (Guaranteed R/R Engine)
The trading engine is designed around risk, not just pattern recognition:
ATR-Based Stop:
Stop-loss is placed at:
Entry ± ATR × Multiplier (user-configurable, default 2.0).
This anchors risk to current volatility.
Minimum Reward:Risk Ratio:
For each setup, the script:
Computes the distance from entry to stop (risk).
Projects a take-profit target at risk × min_rr_ratio away from entry.
Only accepts the setup if risk is positive and the required R:R ratio is achievable.
Result: Every order is created with both TP and SL at a predefined distance, so each trade starts with a known, minimum Reward:Risk profile by design.
“Guaranteed R/R” refers exclusively to this order placement logic (TP/SL geometry), not to win-rate or profitability.
5. Trading Logic – W3–W4–W5 Pattern
The Trading pivot stream (separate from visual wave degrees) looks for a simple but powerful pattern:
Bullish structure:
Sequence of pivots forms a higher-high / higher-low pattern.
Price is above the EMA trend filter.
A strong “W3” leg is confirmed with structure rules (optionally stricter in Strict mode).
Entry (Long – W4 Pullback):
The “height” of W3 is measured.
Entry is placed at a configurable Fibonacci pullback (default 50%) inside that leg.
ATR-based stop is placed below entry.
Take-profit is projected to satisfy min Reward:Risk.
Bearish structure:
Mirrored logic (lower highs/lows, price below EMA, W3 down, W4 retrace up, W5 continuation down).
Once a valid setup is found, the script draws a colored box around the entry zone and a label describing the type of signal (“LONG SETUP” or “SHORT SETUP”) with the suggested limit price.
6. Orders & Execution
Entry Orders: The strategy uses limit orders at the computed W4 level (“Sniper Long” or “Sniper Short”).
Exits: A single strategy.exit() is attached to each entry with:
Take-profit at the projected minimum R:R target.
Stop-loss at ATR-based level.
One Trade at a Time: New setups are only used when there is no open position (strategy.opentrades == 0) to keep the logic clear and risk contained.
7. Visual Guide on the Chart
Wave Labels:
Primary: ①,②,③,④,⑤, ⒶⒷⒸ
Intermediate: (1)…(5), (A)(B)(C)
Minor: i…v, a b c
Trend EMA: Single blue EMA showing the dominant trend.
Setup Boxes:
Green transparent box → long entry zone.
Red transparent box → short entry zone.
Labels: “LONG SETUP / SHORT SETUP” labels mark the proposed limit entry with price.
8. How to Use This Strategy
Attach the strategy to your chart
Choose your market (stocks, indices, FX, crypto, futures, etc.) and timeframe (for example 1h, 4h, or Daily). Then add the strategy to the chart from your Scripts list.
Start with the default settings
Leave all inputs on their defaults first. This lets you see the “intended” behaviour and the exact properties used for the published backtest (account size, 1% risk, commission, etc.).
Study the wave map
Zoom in and out and look at the three wave degrees:
Blue circles → Primary degree (big picture trend).
Teal (1)…(5) → Intermediate degree (swing structure).
Red i…v → Minor degree (micro waves).
Use this to understand how the engine is interpreting the Elliott structure on your symbol.
Watch for valid setups
Look for the coloured boxes and labels:
Green box + “LONG SETUP” label → potential W4 pullback long in an uptrend.
Red box + “SHORT SETUP” label → potential W4 pullback short in a downtrend.
Only trades in the direction of the EMA trend filter are allowed by the strategy.
Check the Reward:Risk of each idea
For each setup, inspect:
Limit entry price.
ATR-based stop level.
Projected take-profit level.
Make sure the minimum Reward:Risk ratio matches your own rules before you consider trading it.
Backtest and evaluate
Open the Strategy Tester:
Verify you have a decent sample size (ideally 100+ trades).
Check drawdowns, average trade, win-rate and R:R distribution.
Change markets and timeframes to see where the logic behaves best.
Adapt to your own risk profile
If you plan to use it live:
Set Initial Capital to your real account size.
Adjust default_qty_value to a risk level you are comfortable with (often 0.5–2% per trade).
Set commission and slippage to realistic broker values.
Re-run the backtest after every major change.
Use as a framework, not a signal machine
Treat this as a structured Elliott/R:R framework:
Filter signals by higher-timeframe trend, major S/R, volume, or fundamentals.
Optionally hide some wave degrees or ABC labels if you want a cleaner chart.
Combine the system’s structure with your own trade management and discretion.
Best Practices & Limitations
This is an approximate Elliott Wave engine based on fractal pivots. It does not replace a full discretionary Elliott analysis.
All wave counts are algorithmic and can differ from a manual analyst’s interpretation.
Like any backtest, results depend heavily on:
Symbol and timeframe.
Sample size (more trades are better).
Realistic commission/slippage settings.
The 0-slippage default is chosen only to show the “raw logic”. In real markets, slippage can significantly impact performance.
No strategy wins all the time. Losing streaks and drawdowns will still occur even with a strict R:R framework.
Disclaimer
This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance, whether real or simulated, is not indicative of future results. Always test on multiple symbols/timeframes, use conservative risk, and consult your financial advisor before trading live capital.
ZKNZCN Önceki Bar H/L (Ayrı Kontrol)Bir önceki barın high & low noktalarını çizgi halinde görmeyi sağlar.
Multi-Distribution Volume Profile (Zeiierman)█ Overview
Multi-Distribution Volume Profile (Zeiierman) is a flexible, structure-first volume profile tool that lets you reshape how volume is distributed across price, from classic uniform profiles to advanced statistical curves like Gaussian, Lognormal, Student-t, and more.
Instead of forcing every market into a single "one-size-fits-all" profile, this tool lets you model how volume is likely concentrated inside each bar (body vs wicks, midpoint, tails, center bias, right-skew, heavy tails, etc.) and then stacks that behavior across a whole lookback window to build a rich, multi-distribution map of traded activity.
On top of that, it overlays a dynamic Center Band (value area) and a fade/gradient model that can color each price row by volume, hits, recency, volatility, reversals, or even liquidity voids, turning a plain profile into a multi-dimensional context map.
Highlights
Choose from multiple Profile Build Modes , including uniform, body-only, wick-only, midpoint/close/open, center-weighted, and a suite of probability-style distributions (Gaussian, Lognormal, Weibull, Student-t, etc.)
Flexible anchor layout: draw the profile on Right/Left (horizontal) or Bottom/Top (vertical) to fit any chart layout
Value Area / Center Band computed from volume quantiles around the POC.
Gradient-based Fade Metrics: volume, price hits, freshness (time decay), volatility impact, dwell time, reversal density, compression, and liquidity voids
Separate bullish vs bearish volume at each price row for directional structure insights
█ How It Works
⚪ Profile Construction
The script scans a user-defined Bars Included window and finds the full high–low span of that zone. It then divides this range into a user-controlled number of Price Levels (rows).
For each historical bar within the window:
It measures the candle’s price range, body, and wicks.
It assigns volume to rows according to the selected Profile Build Mode, for example:
* Range Uniform – volume spread evenly across the full high–low range.
* Range Body Only / Range Wick Only – concentrate volume inside the body or wicks only.
* Midpoint / Close / Open Only – allocate volume entirely into one price row (pinpoint modeling).
HL2 / Body Center Weighted – center weights around the middle of the range/body.
Recent-Weighted Volume – amplify newer bars using exponential time decay.
Volume Squared (Hard) – aggressively boost bars with large volume.
Up Bars Only / Down Bars Only – filter volume to only bullish or bearish bars.
For more advanced shapes, the script uses continuous distributions across the bar’s span:
Linear, Triangular, Exponential to High
Cosine Centered, PERT
Gaussian, Lognormal, Cauchy, Laplace
Pareto, Weibull, Logistic, Gumbel
Gamma, Beta, Chi-Square, Student-t, F-Shape
Each distribution produces a weight for each row within the bar’s range, normalized so the total volume remains consistent, but the shape of where that volume lands changes.
⚪ POC & Center Band (Value Area)
Once all rows are accumulated:
The row with the highest total volume becomes the Point of Control (POC)
The script computes cumulative volume and finds the band that wraps a user-defined Center of Profile % (e.g., 68%) around the center of distribution.
This range is displayed as a central band, often treated like a value area where price has spent the most “effort” trading.
⚪ Gradient Fade Engine
Each row also gets a fade metric, chosen in Fade Metric:
Volume – opacity based on relative volume.
Price Hits – how frequently that row was touched.
Blended (Vol+Hits) – average of volume & hits.
Freshness – emphasizes recent activity, controlled by Decay.
Volatility Impact – rows that saw larger ranges contribute more.
Dwell Time – where price “camped” the longest.
Reversal Density – where direction changes cluster.
Compression – tight-range compression zones.
Liquidity Void – inverse of volume (thin liquidity zones).
When Apply Gradient is enabled, the row’s bullish/bearish colors are tinted from faint to strong based on this chosen metric, effectively turning the profile into a heatmap of your chosen structural property.
█ How to Use
⚪ Explore Different Distribution Assumptions
Switch between multiple Profile Build Modes to see how your assumptions about intrabar volume affect structure:
Use Range Uniform for classical profile reading.
Deploy Gaussian, Logistic, or Cosine shapes to emphasize central clustering.
Try Pareto, Lognormal, or F-Shape to focus on tail / extremal activity.
Use Recent-Weighted Volume to prioritize the most recent structural behavior.
This is especially useful for traders who want to test how different modeling assumptions change perceived value areas and levels of interest.
⚪ Identify Value, Acceptance & Rejection Zones
Use the POC and Center of Profile (%) band to distinguish:
High-acceptance zones – wide central band, thick rows, strong gradient → fair value areas
Rejection zones & tails – thin extremes, low dwell time, high volatility or reversal density
These regions can be used as:
Targets and origin zones for mean reversion
Context for breakout validation (leaving value)
Bias reference for intraday rotations or swing rotations
⚪ Read Directional Structure Within the Profile
Because each row is split into bullish vs bearish contributions, you can visually read:
Where buyers dominated a price region (large bullish slice)
Where sellers absorbed or defended (large bearish slice)
Combining this with Fade Metrics like Reversal Density, Dwell Time, or Freshness turns the profile into a structural order-flow map, without needing raw tick-by-tick volume data.
⚪ Use Fade Metrics for Contextual Heatmaps
Each Fade Metric can be used for a different analytical lens:
Volume / Blended – emphasize where volume and activity are concentrated.
Freshness – highlight the most recently active zones that still matter.
Volatility Impact & Compression – spot areas of explosive moves vs coiled ranges.
Reversal Density – locate micro turning points and battle zones.
Liquidity Void – visually pop out thin regions that may act as speedways or magnets.
█ Settings
Profile Build Mode – Selects how each bar’s volume is distributed across its price range (uniform, body/wick, midpoint/close/open, center-weighted, or statistical distribution families).
Bars Included – Number of bars used to build the profile from the current bar backward.
Price Levels – Vertical resolution of the profile: more levels = smoother but heavier.
Anchor Side – Where the profile is drawn on the chart: Right, Left, Bottom, or Top.
Offset (bars) – Horizontal offset from the last bar to the profile when using Right/Left modes.
Apply Gradient – Toggles the fade/heatmap coloring based on the selected metric.
Fade Metric – Chooses the property driving row opacity (Volume, Hits, Freshness, Volatility Impact, Dwell Time, Reversal Density, Compression, Liquidity Void).
Decay – Time-decay factor for Freshness (values close to 1 keep older activity relevant for longer).
Profile Thickness – Relative thickness of the profile along the time axis, as a % of the lookback window.
Center of Profile (%) – Volume percentage used to define the central band (value area) around the POC.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
