Options Visualizer: Smart Money Barriers [V6]Options Visualizer: Institutional Barriers & Expected Move
The Options Visualizer is analysis tool designed for traders who want to gain an edge by monitoring the "Smart Money" (options market makers and institutional hedgers). This script helps you visualize key option market dynamics directly on your chart, allowing you to see statistical support/resistance levels and massive "walls" of liquidity.
Key Features
1. Institutional Walls (Manual Mode)
Input high Open Interest (OI) data from exchanges like Deribit or Coinglass.
Call Wall (Resistance): The strike price with the highest concentration of Call options. Market makers often defend these levels to prevent paying out buyers.
Put Wall (Support): The strike price with the highest concentration of Put options, acting as a "floor" for price action.
2. Auto-Probability Mode (Statistical Barriers)
Enable Auto Mode to calculate theoretical barriers based on a 2-Standard Deviation (95% Probability) model.
This visualizes the "extreme" ends of market expectations, where a reversal or significant resistance is mathematically likely.
3. Expected Move (68% Range Box)
The blue dotted box represents the 1-Standard Deviation (68% probability) move.
Historically, 68% of the time, the price at expiration will settle within this range. Staying outside this box signals an "over-extended" market.
The Math Behind the Magic
The script utilizes the standard Expected Move formula used by professional floor traders:
Expected Move = Current Price * (IV / 100) * SquareRoot(Days To Expiry / 365)
68% Probability (The Blue Box): Derived from 1-Standard Deviation (1-Sigma). It assumes a normal distribution of price returns.
95% Probability (Auto Mode Walls): Derived from 2-Standard Deviations (2-Sigma). This covers the vast majority of expected market outcomes, making these levels powerful institutional-grade support and resistance zones.
Implied Volatility (IV): Unlike historical volatility, IV represents the market's forward-looking "fear gauge" based on option pricing.
How to Use This Tool
1. Setup:
Look up the current Implied Volatility (IV) and Max Pain/Open Interest for your asset (use Coinglass or Deribit Metrics).
2. Inputs:
Enter the Days Until Expiration (e.g., if monthly options expire this Friday, enter the remaining days).
Enter the IV % (e.g., 55 for 55%).
3. Execution:
Trend Trading: If price stays within the Blue Box, the trend is "normal."
Mean Reversion: If price hits the Call/Put Wall (Red/Green dashed lines), look for exhaustion and potential reversal signals.
Breakouts: A sustained candle close outside the 95% Auto Walls suggests a "Black Swan" event or a massive short/gamma squeeze.
Why Use This Tool?
Traditional indicators (RSI, MACD) look at the past. This tool looks at current market expectations and positioning. By seeing where the "walls" are built, you can significantly improve your risk management and trading edge.
MANUAL:
Mode 1: Manual Institutional Data (Recommended for Specific Expiries)
This mode uses real-world Open Interest (OI) data, offering the most accurate view of where large institutions are actively defending their positions.¨
🛑 How to use the Manual Mode:
1. Disable the Enable Auto Probability Mode checkbox in the indicator settings.
2. Find the Data: Navigate to specialized crypto options analytics websites:
Coinglass Options (Look for "Open Interest by Strike")
Deribit Metrics (Look for Max Pain charts)
3. Identify Key Levels & Input them into the script settings:
Manual Call Wall Strike: Find the Highest Red Bar on the OI chart. This is the strike price with the most Call options, acting as massive institutional resistance.
Manual Put Wall Strike: Find the Highest Green Bar on the OI chart. This is the strike price with the most Put options, acting as a solid price floor (support).
Manual Max Pain Level: Locate the value labeled as Max Pain on the source website. This is the price where the most options would expire worthless for buyers.
Mode 2: Auto Probability Barriers (Statistical Mode)
If you don't want to manually input data, the Auto Mode calculates theoretical barriers based purely on math and volatility, providing highly probable, yet slightly less precise, support/resistance levels.
✅ How to use the Auto Mode:
Enable the Enable Auto Probability Mode checkbox in the indicator settings.
The script will automatically set the Call/Put Walls at the 2-Standard Deviation (95% probability) range.
You still need to update the Implied Volatility (IV) % and Days Until Expiration to ensure the calculations are accurate for today's market conditions.
Indicatori e strategie
Smart TrendSmart Trend — TradingView Indicator Documentation
© 2026 Arup Sarkar
Indicator Name: Smart Trend
Version: 1.0
What It Does
Smart Trend is a trend detection and momentum analysis indicator for TradingView. It identifies high-probability trend flips, strong momentum moves, volatility expansions, and short-term counter-trend signals.
It combines:
- Current timeframe trend lines (EMA + SMA)
- Higher timeframe EMA context (1H + 4H + Daily)
- ATR-based dynamic exits
- Volume confirmation
Smart Trend is designed to:
- Detect trend changes early
- Confirm momentum strength
- Highlight weakening trends before reversals
- Keep charts clean and actionable
How It Works
1. Trend Detection: Trend Line (EMA21 + SMA50): represents current trend direction
2. Higher Timeframe EMA (HTF EMA 1H): confirms alignment
Trend Conditions:
- Uptrend: candle closes above trend line and HTF EMA
- Downtrend: candle closes below trend line and HTF EMA
- Choppy / Flat: neither uptrend nor downtrend
2. Momentum Strength
- Calculated using slope of trend line EMA
- Candle colors indicate momentum:
* Bullish: green, opacity based on strength
* Bearish: red, opacity based on strength
* Neutral / Choppy: grey
3. Alerts
- Smart Trend sends alerts once per confirmed condition on candle close:
- Uptrend Flip (U) — 2-candle confirmation, trend turns bullish
- Downtrend Flip (D) — 2-candle confirmation, trend turns bearish
- Strong Bullish Momentum — trend up + ATR breakout + volume confirmation
- Strong Bearish Momentum — trend down + ATR breakout + volume confirmation
- Volatility Expansion — ATR rising
- Volatility Expansion After Squeeze — breakout after low-volatility period
- Counter-Trend Up — short-term uptrend vs HTF downtrend
- Counter-Trend Down — short-term downtrend vs HTF uptrend
4. ATR Dynamic Exits
- ATR (Average True Range) over last 50 days is used to calculate dynamic stop levels
- Plots longExit and shortExit levels
- Helps traders manage risk dynamically based on market volatility
5. Visuals
- Trend Line: colored by direction (green/red/gray)
- Smoothed 4H+1D EMA: thin orange line for higher timeframe context
- Labels: “U” for uptrend flips, “D” for downtrend flips
- Counter-trend signals: small triangles above/below bars
- ATR exit lines: semi-transparent for clean chart
Benefits
- Detects trend reversals early
- Confirms strong momentum moves
- Highlights weakening trends using volume and ATR
- Provides dynamic exit levels for risk management
- Keeps chart clean and readable
- Alerts are actionable and trigger once per pattern confirmation
Conclusion
Smart Trend is an all-in-one trend and momentum tool for traders who want:
- Early detection of trend flips
- High-probability momentum signals
- Volatility-aware trade management
- Minimal visual clutter with maximum actionable insights
Smart Trend can be combined with support/resistance levels, higher timeframe analysis, and other indicators to increase confidence and improve trade decisions.
Candle End Tracker
This indicator identifies the exact location where a candlestick formation ends. It allows for more precise tracking of asset trends and also helps monitor price trend reversals. Its purpose is to provide the user with a tool that allows visual monitoring of price action. It was created especially for those who trade using scalping techniques. Its use is enhanced when the candlestick color is removed.
[LJ] HTF Candles with Volume POC [Highly Optimized]Welcome to the ultimate Higher Timeframe (HTF) fusion tool.
This indicator seamlessly merges Higher Timeframe price action with precise volume profiling on Lower Timeframe (LTF) charts. By utilizing advanced array memory management, it bypasses TradingView's drawing limits to render clean HTF candle boxes and their exact Volume Point of Control (POC), ensuring peak performance and accuracy even on extreme timeframe combinations.
🔎 Visual Guide: What's on Your Chart?
The Big Boxes (Wick & Body): These represent the Open, High, Low, and Close of your selected Higher Timeframe (e.g., a 1-Hour candle projected onto your 5-Minute chart). Color-coded for bullish/bearish momentum.
The Midline: A horizontal line dividing the HTF candle perfectly in half. Useful for gauging if LTF price is in a "premium" or "discount" zone relative to the HTF.
The Yellow Box (The POC): This is the Point of Control. When an HTF candle closes, this yellow box locks in place, showing the exact price zone that saw the highest volume accumulation during that period, calculated using precise LTF hlc3 price data.
⚙️ Key Settings & Configuration
To get the most out of this indicator, check these inputs in the settings menu:
Box Time Interval: Set this to your desired HTF (e.g., "1H", "4H", "D").
Tip: A good rule of thumb is an HTF that is 5x to 12x higher than your current chart.
POC Resolution (Levels): This is your fine-tuning dial.
Set to 50 - 100: Creates a very thin, precise POC line. Great for exact support/resistance levels.
Set to 15 - 35: Creates a thicker POC "Zone". Great for capturing broader areas of high liquidity.
Max Historical Boxes: Controls how far back the indicator draws. Keep this at 50 for a clean chart and fast loading times.
📈 Trading Strategies: How to Trade the HTF POC
1. The "Magnet" Mean Reversion High volume nodes (POCs) act as price magnets. If the current LTF price is far away from the previous HTF candle's POC, look for setups that trade back toward that yellow box.
2. The Break & Retest The POC box acts as a heavy Support/Resistance wall. If price breaks through the yellow POC box with strong momentum, look to enter on the retest of that box in the direction of the breakout.
3. Trend Continuation In a strong uptrend, look for the current LTF price to bounce off the Midline or the previous candle's POC to join the dominant HTF trend.
⚡ Performance Note
This indicator uses advanced Pine Script Array Management. Unlike standard volume profile scripts that crash when calculating big timeframes, this indicator guarantees zero lag and no disappearing boxes, even when looking at a Daily HTF on a 1-Minute chart.
🙏 Credits
This is a refactored and heavily optimized fusion of two great concepts:
Original HTF Box logic by © krollo041
Original Volume Thermometer concept by © ChartPrime
Merged, debugged, and optimized for v6 Array Management by ©Luki_eR
Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice.
Patterns and AlertsPatterns and Alerts — TradingView Indicator Documentation
© 2026 Arup Sarkar
Indicator Name: Patterns and Alerts
Version: 1.0
About Me:
Spent 32+ years in the software industry and now a full time trader. I did not find an indicator that keeps the chart clean, addresses candle and chart patters combined and provide alerts. This is my first release and by Feb end, I will include all chart/candle patterns, trend line & most vital, Smart Money intent behind patterns (candle and chart).
Description
The Indicator: Patterns and Alerts is a comprehensive indicator that detects candlestick and classical chart patterns, provides real-time alerts, and keeps charts clean with minimalist visuals. It helps traders identify actionable price patterns across all timeframes and asset classes.
Key Features
- Detects Bullish/Bearish Pin Bars
- Detects Double Top, Head & Shoulders, Rising Wedges, and Falling Wedges
- Generates alerts once per confirmed pattern
- Uses thin lines and optional pivot labels for clean visuals
- Works on all timeframes (1-minute to Daily)
Alerts
- Pattern type
- Pivot prices (if applicable)
- Symbol
- Timeframe
Pro Tips
- For aggressive detection, decrease Pivot Length & Pin Bar Wick Ratio
- For conservative detection, increase Pivot Length & Pin Bar Wick Ratio
- Disable labels on lower timeframes to reduce clutter
- Combine alerts with trend indicators, volume, or higher timeframe analysis for confirmation
- Can integrate alerts via webhooks for automated trading
Author / Credit
Arup Sarkar
BTC Spot CVD (Daily Reset) - Multi ExchangeThis indicator plots intraday Cumulative Volume Delta (CVD) for BTC spot markets across multiple major exchanges in a single pane, allowing quick comparison of relative buying/selling pressure throughout the day.
Exchanges / Pairs included
COINBASE:BTCUSD
OKX:BTCUSDT
BINANCE:BTCUSDT
BITFINEX:BTCUSD
KUCOIN:BTCUSDT
KRAKEN:BTCUSD
BYBIT:BTCUSDT
Each exchange is drawn as its own colored CVD line, and the right edge shows a live label with full symbol name + current CVD value.
How CVD is calculated (important)
TradingView spot feeds generally do not provide true aggressor-side trade data (buy vs sell).
This script uses a tick-rule estimate based on bar-to-bar price change:
If close > close → bar volume is treated as buying (+)
If close < close → bar volume is treated as selling (−)
If unchanged → 0
That signed volume is accumulated over time to form CVD.
Intraday reset
CVD resets at the start of each new trading day (based on the symbol’s daily session/day boundary on TradingView). This makes it easy to compare “today’s” flow across venues without long-term drift.
Units toggle: BTC vs USD
In settings you can switch:
BTC mode: CVD in BTC (base units)
USD mode: CVD converted to quote value using the bar’s price (BTC delta × price).
For USDT pairs, USD mode treats USDT as USD-like.
How to use
Add the indicator to any chart/timeframe.
Use the Inputs panel to show/hide specific exchanges.
Compare which venues lead/lag and where delta is strongest/weakest intraday.
Use the zero line as a quick reference for net positive vs net negative delta for the day.
Notes / limitations
This is an approximation of volume delta using OHLCV data, not true order-flow delta from trade prints.
Results can vary by timeframe because the tick-rule sign is derived from the bar close.
colors_library# ColorsLibrary - PineScript v6
A comprehensive PineScript v6 library containing **10 color themes** and utility functions for TradingView.
---
## 📦 Installation
```pinescript
import TheTradingSpiderMan/colors_library/1 as CLR
```
---
## 🎨 All Available Color Themes (10)
### Default Theme (Green/Red - Classic Trading)
| Function | Description |
| ------------------ | --------------- |
| `defaultBull()` | Green (#26A69A) |
| `defaultBear()` | Red (#EF5350) |
| `defaultNeutral()` | Grey (#787B86) |
### Monochrome Theme (White/Grey/Black)
| Function | Description |
| --------------- | -------------------- |
| `monoBull()` | White (#FFFFFF) |
| `monoBear()` | Black (#000000) |
| `monoNeutral()` | Grey (#808080) |
| `monoLight()` | Light Grey (#C0C0C0) |
| `monoDark()` | Dark Grey (#404040) |
### Vaporwave Theme (Purple/Pink, Blue/Cyan)
| Function | Description |
| ---------------- | ----------------------- |
| `vaporBull()` | Cyan (#00FFFF) |
| `vaporBear()` | Magenta (#FF00FF) |
| `vaporNeutral()` | Grey (#787B86) |
| `vaporPurple()` | Purple (#9B59B6) |
| `vaporPink()` | Hot Pink (#FF6EC7) |
| `vaporBlue()` | Electric Blue (#0080FF) |
### Neon Theme (Bright Fluorescent Colors)
| Function | Description |
| --------------- | --------------------- |
| `neonBull()` | Neon Green (#39FF14) |
| `neonBear()` | Neon Red (#FF073A) |
| `neonNeutral()` | Grey (#787B86) |
| `neonYellow()` | Neon Yellow (#FFFF00) |
| `neonOrange()` | Neon Orange (#FF6600) |
| `neonBlue()` | Neon Blue (#00BFFF) |
### Ocean Theme (Blues and Teals)
| Function | Description |
| ---------------- | ------------------- |
| `oceanBull()` | Teal (#20B2AA) |
| `oceanBear()` | Deep Blue (#1E3A5F) |
| `oceanNeutral()` | Grey (#787B86) |
| `oceanAqua()` | Aqua (#00CED1) |
| `oceanNavy()` | Navy (#000080) |
| `oceanSeafoam()` | Seafoam (#3EB489) |
### Sunset Theme (Oranges, Yellows, Reds)
| Function | Description |
| ----------------- | ----------------------- |
| `sunsetBull()` | Golden Yellow (#FFD700) |
| `sunsetBear()` | Crimson (#DC143C) |
| `sunsetNeutral()` | Grey (#787B86) |
| `sunsetOrange()` | Orange (#FF8C00) |
| `sunsetCoral()` | Coral (#FF7F50) |
| `sunsetPurple()` | Twilight (#8B008B) |
### Forest Theme (Greens and Browns)
| Function | Description |
| ----------------- | ---------------------- |
| `forestBull()` | Forest Green (#228B22) |
| `forestBear()` | Brown (#8B4513) |
| `forestNeutral()` | Grey (#787B86) |
| `forestLime()` | Lime Green (#32CD32) |
| `forestOlive()` | Olive (#6B8E23) |
| `forestEarth()` | Earth Brown (#704214) |
### Candy Theme (Pastel/Soft Colors)
| Function | Description |
| ----------------- | -------------------- |
| `candyBull()` | Mint Green (#98FB98) |
| `candyBear()` | Soft Pink (#FFB6C1) |
| `candyNeutral()` | Grey (#787B86) |
| `candyLavender()` | Lavender (#E6E6FA) |
| `candyPeach()` | Peach (#FFDAB9) |
| `candySky()` | Sky Blue (#87CEEB) |
### Fire Theme (Reds, Oranges, Yellows)
| Function | Description |
| --------------- | ---------------------- |
| `fireBull()` | Flame Orange (#FF5722) |
| `fireBear()` | Dark Red (#B71C1C) |
| `fireNeutral()` | Grey (#787B86) |
| `fireYellow()` | Flame Yellow (#FFC107) |
| `fireEmber()` | Ember (#FF6F00) |
| `fireAsh()` | Ash Grey (#424242) |
### Ice Theme (Cool Blues and Whites)
| Function | Description |
| -------------- | ---------------------- |
| `iceBull()` | Ice Blue (#B3E5FC) |
| `iceBear()` | Frost Blue (#0277BD) |
| `iceNeutral()` | Grey (#787B86) |
| `iceWhite()` | Snow White (#F5F5F5) |
| `iceCrystal()` | Crystal Blue (#81D4FA) |
| `iceFrost()` | Frost (#4FC3F7) |
---
## 🔧 Selector & Utility Functions
| Function | Description |
| -------------------- | --------------------------------------------------- |
| `bullColor()` | Get bullish color by theme name |
| `bearColor()` | Get bearish color by theme name |
| `trendColor()` | Returns bull/bear color based on boolean condition |
| `gradientColor()` | Creates gradient between bull/bear (0-100 value) |
| `rsiGradient()` | RSI-style coloring (oversold=bull, overbought=bear) |
| `candleColor()` | Returns color based on candle direction |
| `volumeColor()` | Returns color based on close vs previous close |
| `withTransparency()` | Applies transparency to any color |
| `getAllThemes()` | Returns comma-separated list of all theme names |
| `getThemeOptions()` | Returns array of theme names for input options |
---
## 🔧 Usage Examples
### Basic Usage
```pinescript
//@version=6
indicator("Color Example")
import quantablex/colors_library/1 as CLR
// Direct color usage
plot(close, "Close", CLR.defaultBull())
plot(open, "Open", CLR.defaultBear())
// With transparency
plot(high, "High", CLR.vaporPurple(50))
```
### Using Theme Selector
```pinescript
//@version=6
indicator("Theme Selector")
import quantablex/colors_library/1 as CLR
theme = input.string("DEFAULT", "Color Theme",
options= )
bullCol = CLR.bullColor(theme)
bearCol = CLR.bearColor(theme)
plot(close, "Close", close >= open ? bullCol : bearCol)
```
### Trend Coloring
```pinescript
//@version=6
indicator("Trend Colors")
import quantablex/colors_library/1 as CLR
theme = input.string("VAPOR", "Theme")
ma = ta.ema(close, 20)
// Auto trend color based on condition
trendCol = CLR.trendColor(close > ma, theme)
plot(ma, "EMA", trendCol, 2)
```
### Gradient & RSI Coloring
```pinescript
//@version=6
indicator("Gradient Example")
import quantablex/colors_library/1 as CLR
rsi = ta.rsi(close, 14)
// Gradient based on RSI value
gradCol = CLR.gradientColor(rsi, "NEON")
plot(rsi, "RSI", gradCol)
// Or use built-in RSI gradient
rsiCol = CLR.rsiGradient(rsi, "DEFAULT")
bgcolor(rsiCol, transp=90)
```
### Candle & Volume Coloring
```pinescript
//@version=6
indicator("Candle Colors", overlay=true)
import quantablex/colors_library/1 as CLR
theme = input.string("FIRE", "Theme")
// Auto candle coloring
barcolor(CLR.candleColor(theme))
// Volume bars colored by direction
plotshape(volume, style=shape.circle, color=CLR.volumeColor(theme, 30))
```
---
## 🎨 Theme Selection Guide
| Use Case | Recommended Themes |
| --------------------- | --------------------- |
| **Classic Trading** | DEFAULT, MONO |
| **Dark Mode Charts** | NEON, VAPOR, ICE |
| **Light Mode Charts** | CANDY, SUNSET, FOREST |
| **High Visibility** | NEON, FIRE |
| **Low Eye Strain** | OCEAN, CANDY, ICE |
| **Professional Look** | MONO, DEFAULT, OCEAN |
| **Aesthetic/Stylish** | VAPOR, SUNSET, CANDY |
---
## ⚙️ Parameters Reference
### Common Parameters
- `transparency` - Transparency level (0-100, where 0=opaque, 100=invisible)
### Selector Parameters
- `theme` - Theme name string: `DEFAULT`, `MONO`, `VAPOR`, `NEON`, `OCEAN`, `SUNSET`, `FOREST`, `CANDY`, `FIRE`, `ICE`
---
## 📝 Notes
- All functions accept optional `transparency` parameter (default 0)
- Theme selector functions default to `DEFAULT` theme if invalid name provided
- Use `getAllThemes()` to get comma-separated list of all theme names
- Use `getThemeOptions()` to get array for `input.string` options
- All 50+ color functions are exported for direct use
---
**Author:** thetradingspiderman
**Version:** 1.0
**PineScript Version:** 6
**Total Themes:** 10
**Total Color Functions:** 50+
moving_averages# MovingAverages Library - PineScript v6
A comprehensive PineScript v6 library containing **50+ Moving Average calculations** for TradingView.
---
## 📦 Installation
```pinescript
import TheTradingSpiderMan/moving_averages/1 as MA
```
---
## 📊 All Available Moving Averages (50+)
### Basic Moving Averages
| Function | Selector Key | Description |
| -------- | ------------ | ------------------------------------------ |
| `sma()` | `SMA` | Simple Moving Average - arithmetic mean |
| `ema()` | `EMA` | Exponential Moving Average |
| `wma()` | `WMA` | Weighted Moving Average |
| `vwma()` | `VWMA` | Volume Weighted Moving Average |
| `rma()` | `RMA` | Relative/Smoothed Moving Average |
| `smma()` | `SMMA` | Smoothed Moving Average (alias for RMA) |
| `swma()` | - | Symmetrically Weighted MA (4-period fixed) |
### Hull Family
| Function | Selector Key | Description |
| -------- | ------------ | ------------------------------- |
| `hma()` | `HMA` | Hull Moving Average |
| `ehma()` | `EHMA` | Exponential Hull Moving Average |
### Double/Triple Smoothed
| Function | Selector Key | Description |
| -------------- | ------------ | --------------------------------- |
| `dema()` | `DEMA` | Double Exponential Moving Average |
| `tema()` | `TEMA` | Triple Exponential Moving Average |
| `tma()` | `TMA` | Triangular Moving Average |
| `t3()` | `T3` | Tillson T3 Moving Average |
| `twma()` | `TWMA` | Triple Weighted Moving Average |
| `swwma()` | `SWWMA` | Smoothed Weighted Moving Average |
| `trixSmooth()` | `TRIXSMOOTH` | Triple EMA Smoothed |
### Zero/Low Lag
| Function | Selector Key | Description |
| --------- | ------------ | ----------------------------------- |
| `zlema()` | `ZLEMA` | Zero Lag Exponential MA |
| `lsma()` | `LSMA` | Least Squares Moving Average |
| `epma()` | `EPMA` | Endpoint Moving Average |
| `ilrs()` | `ILRS` | Integral of Linear Regression Slope |
### Adaptive Moving Averages
| Function | Selector Key | Description |
| ---------- | ------------ | ------------------------------- |
| `kama()` | `KAMA` | Kaufman Adaptive Moving Average |
| `frama()` | `FRAMA` | Fractal Adaptive Moving Average |
| `vidya()` | `VIDYA` | Variable Index Dynamic Average |
| `vma()` | `VMA` | Variable Moving Average |
| `vama()` | `VAMA` | Volume Adjusted Moving Average |
| `rvma()` | `RVMA` | Rolling VMA |
| `apexMA()` | `APEXMA` | Apex Moving Average |
### Ehlers Filters
| Function | Selector Key | Description |
| ----------------- | --------------- | --------------------------------- |
| `superSmoother()` | `SUPERSMOOTHER` | Ehlers Super Smoother |
| `butterworth2()` | `BUTTERWORTH2` | 2-Pole Butterworth Filter |
| `butterworth3()` | `BUTTERWORTH3` | 3-Pole Butterworth Filter |
| `instantTrend()` | `INSTANTTREND` | Ehlers Instantaneous Trendline |
| `edsma()` | `EDSMA` | Deviation Scaled Moving Average |
| `mama()` | `MAMA` | Mesa Adaptive Moving Average |
| `fama()` | `FAMAVAL` | Following Adaptive Moving Average |
### Laguerre Family
| Function | Selector Key | Description |
| -------------------- | ------------------ | ------------------------ |
| `laguerreFilter()` | `LAGUERRE` | Laguerre Filter |
| `adaptiveLaguerre()` | `ADAPTIVELAGUERRE` | Adaptive Laguerre Filter |
### Special Weighted
| Function | Selector Key | Description |
| ---------- | ------------ | -------------------------------- |
| `alma()` | `ALMA` | Arnaud Legoux Moving Average |
| `sinwma()` | `SINWMA` | Sine Weighted Moving Average |
| `gwma()` | `GWMA` | Gaussian Weighted Moving Average |
| `nma()` | `NMA` | Natural Moving Average |
### Jurik/McGinley/Coral
| Function | Selector Key | Description |
| ------------ | ------------ | --------------------- |
| `jma()` | `JMA` | Jurik Moving Average |
| `mcginley()` | `MCGINLEY` | McGinley Dynamic |
| `coral()` | `CORAL` | Coral Trend Indicator |
### Mean Types
| Function | Selector Key | Description |
| -------------- | ------------ | ------------------------- |
| `medianMA()` | `MEDIANMA` | Median Moving Average |
| `gma()` | `GMA` | Geometric Moving Average |
| `harmonicMA()` | `HARMONICMA` | Harmonic Moving Average |
| `trimmedMA()` | `TRIMMEDMA` | Trimmed Moving Average |
| `cma()` | `CMA` | Cumulative Moving Average |
### Volume-Based
| Function | Selector Key | Description |
| --------- | ------------ | -------------------------- |
| `evwma()` | `EVWMA` | Elastic Volume Weighted MA |
### Other Specialized
| Function | Selector Key | Description |
| ----------------- | --------------- | --------------------------- |
| `hwma()` | `HWMA` | Holt-Winters Moving Average |
| `gdema()` | `GDEMA` | Generalized DEMA |
| `rema()` | `REMA` | Regularized EMA |
| `modularFilter()` | `MODULARFILTER` | Modular Filter |
| `rmt()` | `RMT` | Recursive Moving Trendline |
| `qrma()` | `QRMA` | Quadratic Regression MA |
| `wilderSmooth()` | `WILDERSMOOTH` | Welles Wilder Smoothing |
| `leoMA()` | `LEOMA` | Leo Moving Average |
| `ahrensMA()` | `AHRENSMA` | Ahrens Moving Average |
| `runningMA()` | `RUNNINGMA` | Running Moving Average |
| `ppoMA()` | `PPOMA` | PPO-based Moving Average |
| `fisherMA()` | `FISHERMA` | Fisher Transform MA |
---
## 🎯 Helper Functions
| Function | Description |
| ---------------- | ------------------------------------------------------------- |
| `wcp()` | Weighted Close Price: (H+L+2\*C)/4 |
| `typicalPrice()` | Typical Price: (H+L+C)/3 |
| `medianPrice()` | Median Price: (H+L)/2 |
| `selector()` | **Master selector** - choose any MA by string name |
| `getAllTypes()` | Returns all supported MA type names as comma-separated string |
---
## 🔧 Usage Examples
### Basic Usage
```pinescript
//@version=6
indicator("MA Example")
import quantablex/moving_averages/1 as MA
// Simple calls
plot(MA.sma(close, 20), "SMA 20", color.blue)
plot(MA.ema(close, 20), "EMA 20", color.red)
plot(MA.hma(close, 20), "HMA 20", color.green)
```
### Using the Selector Function (50+ MA Types)
```pinescript
//@version=6
indicator("MA Selector")
import quantablex/moving_averages/1 as MA
// Full list of all supported types:
// SMA,EMA,WMA,VWMA,RMA,SMMA,HMA,EHMA,DEMA,TEMA,TMA,T3,TWMA,SWWMA,TRIXSMOOTH,
// ZLEMA,LSMA,EPMA,ILRS,KAMA,FRAMA,VIDYA,VMA,VAMA,RVMA,APEXMA,SUPERSMOOTHER,
// BUTTERWORTH2,BUTTERWORTH3,INSTANTTREND,EDSMA,LAGUERRE,ADAPTIVELAGUERRE,
// ALMA,SINWMA,GWMA,NMA,JMA,MCGINLEY,CORAL,MEDIANMA,GMA,HARMONICMA,TRIMMEDMA,
// EVWMA,HWMA,GDEMA,REMA,MODULARFILTER,RMT,QRMA,WILDERSMOOTH,LEOMA,AHRENSMA,
// RUNNINGMA,PPOMA,MAMA,FAMAVAL,FISHERMA,CMA
maType = input.string("EMA", "MA Type", options= )
length = input.int(20, "Length")
plot(MA.selector(close, length, maType), "Selected MA", color.orange)
```
### Advanced Moving Averages
```pinescript
//@version=6
indicator("Advanced MAs")
import quantablex/moving_averages/1 as MA
// ALMA with custom offset and sigma
plot(MA.alma(close, 20, 0.85, 6), "ALMA", color.purple)
// KAMA with custom fast/slow periods
plot(MA.kama(close, 10, 2, 30), "KAMA", color.teal)
// T3 with custom volume factor
plot(MA.t3(close, 20, 0.7), "T3", color.yellow)
// Laguerre Filter with custom gamma
plot(MA.laguerreFilter(close, 0.8), "Laguerre", color.lime)
```
---
## 📈 MA Selection Guide
| Use Case | Recommended MAs |
| ---------------------- | ------------------------------------------- |
| **Trend Following** | EMA, DEMA, TEMA, HMA, CORAL |
| **Low Lag Required** | ZLEMA, HMA, EHMA, JMA, LSMA |
| **Volatile Markets** | KAMA, VIDYA, FRAMA, VMA, ADAPTIVELAGUERRE |
| **Smooth Signals** | T3, LAGUERRE, SUPERSMOOTHER, BUTTERWORTH2/3 |
| **Support/Resistance** | SMA, WMA, TMA, MEDIANMA |
| **Scalping** | MCGINLEY, ZLEMA, HMA, INSTANTTREND |
| **Noise Reduction** | MAMA, EDSMA, GWMA, TRIMMEDMA |
| **Volume-Based** | VWMA, EVWMA, VAMA |
---
## ⚙️ Parameters Reference
### Common Parameters
- `src` - Source series (close, open, hl2, hlc3, etc.)
- `len` - Period length (integer)
### Special Parameters
- `alma()`: `offset` (0-1), `sigma` (curve shape)
- `kama()`: `fastLen`, `slowLen`
- `t3()`: `vFactor` (volume factor)
- `jma()`: `phase` (-100 to 100)
- `laguerreFilter()`: `gamma` (0-1 damping)
- `rema()`: `lambda` (regularization)
- `modularFilter()`: `beta` (sensitivity)
- `gdema()`: `mult` (multiplier, 2 = standard DEMA)
- `trimmedMA()`: `trimPct` (0-0.5, percentage to trim)
- `mama()/fama()`: `fastLimit`, `slowLimit`
- `adaptiveLaguerre()`: Uses `len` for adaptation period
---
## 📝 Notes
- All 50+ functions are exported for use in any PineScript v6 indicator/strategy
- The `selector()` function supports **all MA types** via string key
- Use `getAllTypes()` to get a comma-separated list of all supported MA names
- Some MAs (CMA, INSTANTTREND, LAGUERRE, MAMA) don't use `len` parameter
- Use `nz()` wrapper if handling potential NA values in your calculations
---
**Author:** thetradingspiderman
**Version:** 1.0
**PineScript Version:** 6
**Total MA Types:** 50+
N Candle UM Formations N Candle UM Formations is a context-based candle analysis indicator designed to highlight indecision and potential exhaustion zones within an existing trend.
Instead of generating buy or sell signals, this tool focuses on market structure and behavior, helping traders identify areas where momentum may be weakening and attention is required.
🔹 Core Concept
The indicator:
Combines N candles into a single synthetic candle to reduce noise
Detects indecision-type candle structures, such as:
Doji candles
Pin bars (long wicks)
Small-bodied candles
Evaluates these candles only within a trend context
This approach avoids pattern memorization and focuses on where a candle appears, not just how it looks.
🔹 Color Logic
🟣 Purple candles
Indicate indecision near a pullback low within an uptrend
→ Possible seller exhaustion or accumulation area
🟠 Orange candles
Indicate indecision near a pullback high within a downtrend
→ Possible buyer exhaustion or distribution area
🟢 / 🔴 Green & Red candles
Represent normal momentum candles with no special context
🔹 Trend & Context Filters
Trend direction is defined using EMA-based structure
Pullback zones are evaluated relative to recent highs/lows with volatility tolerance
All calculations are close-based and non-repainting
🔹 How to Use
This indicator is not a standalone trading system.
It is best used as:
A context filter
A market awareness tool
A confirmation layer alongside:
RSI / TSI / Fisher
Volume analysis
Price action or structure breaks
When a purple or orange candle appears, traders are encouraged to seek confirmation from other tools before making decisions.
🔹 Key Philosophy
Context first, confirmation second.
This indicator helps traders focus on high-attention zones, not automated entries.
⚠️ Disclaimer
This tool does not provide financial advice and should not be used alone for trade execution.
SENTINEL LITE by Pips0mnianSentinel Lite — Learning Mode is an educational indicator designed to help beginner traders develop discipline and chart-reading skills.
It highlights high-quality learning setups using:
• Trend alignment (EMA 200, 21, 50)
• EMA pullback behavior
• Strong candle confirmation
• Basic market structure
• London and New York session filtering
• Chop avoidance
This tool is not a signal service or automated strategy.
It is designed for practice, journaling, and skill-building.
Best used on:
• XAUUSD (Gold)
• 5-minute timeframe
• London & New York sessions
⚠️ Educational use only. No financial advice.
Daily Open Gap Zones This indicator highlights Daily Opening Gaps by drawing a zone between the previous regular session close and the next regular session open (RTH). Each gap is displayed as a light white filled box with a dotted, transparent white border and is extended forward in time until it is considered filled.
How it works
Gap Definition:
A gap is created when today’s regular-session open is different from yesterday’s regular-session close.
Zone Range:
The gap zone is the price range between those two values.
Unfilled Gaps Only:
The box stays on the chart until the gap is filled, then it is removed.
Fill Mode Options:
Full fill: gap is removed only when price reaches the far edge of the gap zone.
Touch (enter zone): gap is removed as soon as price trades into the gap zone.
Min Gap Size (ticks):
Filters out tiny gaps. A gap is plotted only if
abs(open - prior close) >= minGapTicks × syminfo.mintick.
Best use case
Designed for intraday traders (e.g., 10-minute charts) who want to quickly see open/unfilled daily gaps that may act as support/resistance or mean-reversion targets.
TuxTune - PDH PDL PDCJust a simple indicator simply to show the previous day High, Low, and Close levels.
Line color, type, width are modifiable
Each line can be turned on/off
Oscillator [Scalping-Algo]█ POSTING OSCILLATOR
A squeeze momentum indicator that detects volatility compression and shows momentum direction.
█ HOW IT WORKS
This indicator combines Bollinger Bands and Keltner Channels to identify "squeeze" conditions — periods of low volatility that often precede explosive moves.
When Bollinger Bands contract inside Keltner Channels, volatility is compressing. When they expand back out, the squeeze "fires" and price typically makes a strong directional move.
█ HISTOGRAM COLORS
🟦 Bright Cyan — Positive momentum, increasing
🟦 Dark Cyan — Positive momentum, decreasing
🟪 Dark Purple — Negative momentum, increasing
🟪 Bright Magenta — Negative momentum, decreasing
█ SQUEEZE DOTS (ZERO LINE)
🟢 Teal — No squeeze (normal volatility)
⚫ Gray — Low squeeze
🔴 Red — Medium squeeze
🟠 Orange — High squeeze (breakout imminent)
█ HOW TO USE
1. Wait for squeeze dots (gray/red/orange) to appear
2. Watch which direction momentum is building
3. Enter when dots turn teal (squeeze fired)
4. Go long if histogram is cyan, short if magenta
5. Consider exit when colors fade (bright → dark)
█ BEST PRACTICES
• Works best on higher timeframes (1H, 4H, Daily)
• Combine with trend analysis and support/resistance
• Most reliable in trending markets
• Avoid trading against major levels
█ SETTINGS
Length: 20 (default) — Period for all calculations
Adjust based on your timeframe and trading style.
█ ALERTS
Set alerts for:
• Histogram crossing zero
• Squeeze firing (dot color change to teal)
• High squeeze detection (orange dots)
Dow-Granville Sync SuiteEnglish Description (English Section)
Name: Dow-Granville Sync Suite
The Dow-Granville Sync Suite is an analysis tool that integrates trend determination based on Dow Theory with price positioning relative to the 20SMA (Simple Moving Average) across multiple timeframes (MTF).
It is designed to organize information across various timeframes, allowing users to understand the status from higher to lower timeframes without switching charts.
Multi-Timeframe Dow Analysis Analyzes highs and lows for each timeframe to determine the current trend state (Bullish, Bearish, or Consolidation).
SMA Position Analysis Determines whether the price is above or below the 20SMA for all timeframes. This is used to identify price positioning based on Granville's Law.
Synchronization Signals Displays ★ icons on the chart when the Dow direction and SMA position align across 4 or 5 consecutive timeframes.
Status Dashboard Displays a summary table on the right side of the screen showing the trend status for each timeframe.
Squeeze Detection Detects low volatility periods caused by the convergence of highs and lows, indicating them with specific markers on the chart.
Check the trend direction of higher timeframes, such as Daily or 4-Hour charts, on the right-hand dashboard.
Use the synchronization signals (★) on lower timeframes, when they align with the higher timeframe trend, as a reference for decision-making.
This tool is intended as an analytical aid and does not constitute investment advice.
Results based on historical data do not guarantee future performance.
日本語説明文 (Japanese Section)
名称：Dow-Granville Sync Suite
【概要】 Dow-Granville Sync Suiteは、ダウ理論によるトレンド判定と、20SMA（単純移動平均線）に対する価格の位置関係を、複数の時間軸（MTF）で統合して表示する解析ツールです。
各時間軸の情報を整理し、チャートを切り替えることなく上位足から下位足までの状態を把握することを目的としています。
【主な機能】
マルチタイムフレーム・ダウ分析 各時間軸の高値・安値を参照し、現在のトレンド（上昇・下降・保合い）を自動で判定します。
SMA位置解析 価格が20SMAの上にあるか下にあるかを全時間軸で判定します。これはグランビルの法則における価格の偏りを把握するために利用します。
同調シグナル 4つ、または5つの連続した時間軸において、ダウの方向とSMAに対する位置関係がすべて一致した際に、チャート上に★印を表示します。
ステータス・ダッシュボード 画面右側に、各時間軸のトレンド状況を一覧表で表示します。
スクイーズ検知 高値・安値の収束によるボラティリティの低下を検知し、チャート上にマークを表示します。
【使い方】
右側のダッシュボードで、日足や4時間足などの上位足のトレンド方向を確認します。
下位足において、上位足と同方向の同調シグナル（★）が発生した際の状態を、判断の材料として利用します。
【免責事項】
本ツールは分析の補助を目的としたものであり、投資助言ではありません。
過去のデータによる結果は、将来の利益を保証するものではありません。
Alpha Beta Gamma with Volume# Alpha Beta Gamma with Volume
## Description
**Alpha Beta Gamma with Volume** is an advanced technical analysis indicator that combines the Alpha-Beta-Gamma (ABG) oscillator with sophisticated volume analysis. This powerful tool helps traders identify market trends, momentum, and volume-based signals simultaneously.
## Key Features
### 📊 Alpha-Beta-Gamma Oscillator
- **Alpha**: Measures the distance from the current price to the lowest price over the selected period
- **Beta**: Calculates the price range (highest - lowest) over the selected period
- **Gamma**: Normalized value showing the price position within the current range (0-1 scale)
### 📈 Advanced Price Configuration
- Multiple timeframe analysis
- Flexible price source selection (Open, High, Low, Close, or any average)
- Customizable ABG calculation length
### 🔍 Smart Volume Analysis
- Volume trend identification using moving averages
- Three-tier volume classification:
- **High Volume**: Volume ≥ 2x MA (Deep Blue Bull / Aqua Bear candles)
- **Low Volume**: Volume ≤ 0.5x MA (Light Blue Bull / Light Yellow Bear candles)
- **Strong Signal Volume**: Volume ≥ 1.5x MA (Violet Bull / Pink Bear candles)
- Bull/Bear candle color coding based on volume strength
### 🎯 Custom Range Levels (0-1 Range Divided into 8 Parts)
- 9 horizontal levels from 0 to 1 (each 1/8 apart)
- Psychological support/resistance zones
- Customizable line styles and labels
- Perfect for grid trading, breakout strategies, and level analysis
### 📊 Real-time Data Table
- Compact table displaying current ABG values
- Percentage change calculations
- Trend direction indicators
- Customizable position and size
### 🎨 Visual Customization
- Adjustable line styles (Solid, Dashed, Dotted)
- Customizable label sizes and colors
- Flexible transparency settings
- Multiple display options for all elements
## Usage Instructions
### Basic Settings:
1. **Strike Price Settings**: Select your preferred timeframe and price type
2. **ABG Parameters**: Adjust length for sensitivity (default: 37)
3. **Volume Analysis**: Configure volume thresholds based on your trading style
4. **Visual Style**: Customize colors, line styles, and labels to your preference
### Trading Signals:
- **Gamma Values**:
- 0-0.5: Oversold/Buying zone
- 0.5-1: Overbought/Selling zone
- **Volume Confirmation**: Use volume colors to confirm trend strength
- **Custom Levels**: Watch for price reactions at 1/8, 2/8, 4/8, 6/8, and 7/8 levels
### Recommended Configurations:
- **Scalping**: Length = 20-30, enable Alpha-Beta logic
- **Swing Trading**: Length = 40-50, use custom range levels
- **Position Trading**: Length = 50-100, focus on volume signals
## Technical Details
- **Version**: Pine Script v6
- **Author**: Nurbolat Zhan
- **Interface Language**: Kazakh (fully translated)
- **Required Components**: Built-in TradingView functions only
### Volume Thresholds Explained:
1. **High Volume** (≥ 2x MA): Significant institutional activity
2. **Low Volume** (≤ 0.5x MA): Consolidation or indecision periods
3. **Strong Signal** (≥ 1.5x MA): High-probability trade setups
## Important Notes
⚠️ **Disclaimer**:
- This is a technical analysis tool, not financial advice
- Always use proper risk management
- Combine with other indicators for confirmation
- Past performance doesn't guarantee future results
📈 **Best Practices**:
1. Use ABG for trend identification
2. Confirm with volume analysis
3. Watch for divergences between price and indicators
4. Use multiple timeframes for better context
---
**Motto**: "Precision in analysis, confidence in execution!"
*This indicator is specifically designed for traders who want to combine oscillator analysis with volume confirmation in a single, comprehensive tool.*
SR Highlight - Pato WarzaDescriptionThis indicator is a high-precision tool designed to identify and visualize institutional Support and Resistance levels based on structural pivot points. Unlike standard SR indicators that clutter the chart with overlapping lines, this script uses a Smart Clustering Algorithm to merge nearby price levels into single, high-probability zones.Key FeaturesSmart Level Consolidation: Automatically detects and merges price levels that are too close to each other using volatility-based thresholds ( NYSE:ATR $), preventing "visual noise" and overlapping boxes.Strength-Based Hierarchy: Each level is calculated based on historical touches ($Strength$). The more times a price has reacted at a level, the higher its strength.The "King Level" Highlight (Strongest 🔥): The algorithm scans the entire lookback period to identify the single most respected level. This "King Level" is highlighted with a Golden/Yellow border and a fire emoji (🔥) for immediate focus on the day's key pivot.Dynamic Transparency & Layout: Designed specifically for fast-paced trading (15s, 1m, 5m), the zones extend to the left to show historical significance without obstructing the most recent price action.Fully Customizable: Adjust pivot sensitivity, loopback depth, and zone height to fit any asset (Gold, Nasdaq, Forex, or Crypto).How to UseLook for the 🔥: This represents the strongest historical level. Expect high volatility or significant reversals when price approaches this zone.Cluster Zones: Use the thickness of the boxes to gauge the "buffer zone" where price is likely to find liquidity.Trend Alignment: Use these zones in conjunction with your favorite trend indicators to find high-probability "Buy the Dip" or "Sell the Rip" opportunities.Technical Settings (Recommended)Pivot Period: 5 (Standard structural detection).Loopback Period: 300 - 900 (Depending on how much history you want to analyze).Minimum Strength: 3-5 (To filter out minor price noise).
SR Highlight - Pato Warza DescriptionThis indicator is a high-precision tool designed to identify and visualize institutional Support and Resistance levels based on structural pivot points. Unlike standard SR indicators that clutter the chart with overlapping lines, this script uses a Smart Clustering Algorithm to merge nearby price levels into single, high-probability zones.Key FeaturesSmart Level Consolidation: Automatically detects and merges price levels that are too close to each other using volatility-based thresholds ( NYSE:ATR $), preventing "visual noise" and overlapping boxes.Strength-Based Hierarchy: Each level is calculated based on historical touches ($Strength$). The more times a price has reacted at a level, the higher its strength.The "King Level" Highlight (Strongest 🔥): The algorithm scans the entire lookback period to identify the single most respected level. This "King Level" is highlighted with a Golden/Yellow border and a fire emoji (🔥) for immediate focus on the day's key pivot.Dynamic Transparency & Layout: Designed specifically for fast-paced trading (15s, 1m, 5m), the zones extend to the left to show historical significance without obstructing the most recent price action.Fully Customizable: Adjust pivot sensitivity, loopback depth, and zone height to fit any asset (Gold, Nasdaq, Forex, or Crypto).How to UseLook for the 🔥: This represents the strongest historical level. Expect high volatility or significant reversals when price approaches this zone.Cluster Zones: Use the thickness of the boxes to gauge the "buffer zone" where price is likely to find liquidity.Trend Alignment: Use these zones in conjunction with your favorite trend indicators to find high-probability "Buy the Dip" or "Sell the Rip" opportunities.Technical Settings (Recommended)Pivot Period: 5 (Standard structural detection).Loopback Period: 300 - 900 (Depending on how much history you want to analyze).Minimum Strength: 3-5 (To filter out minor price noise).
REBOTE PRO EMA
//@version=5
indicator(title="REBOTE PRO EMA", overlay=true)
// === CONFIGURACIÓN ===
emaRapida = input.int(20, "EMA Rápida")
emaLenta = input.int(50, "EMA Lenta (Tendencia)")
rsiPeriodo = input.int(14, "RSI Periodo")
// === CÁLCULOS ===
emaFast = ta.ema(close, emaRapida)
emaSlow = ta.ema(close, emaLenta)
rsiVal = ta.rsi(close, rsiPeriodo)
// === CONDICIONES DE TENDENCIA ===
tendenciaAlcista = emaFast > emaSlow
tendenciaBajista = emaFast < emaSlow
// === CONDICIONES DE REBOTE ===
reboteBuy = tendenciaAlcista and low <= emaFast and close > emaFast and rsiVal > 40
reboteSell = tendenciaBajista and high >= emaFast and close < emaFast and rsiVal < 60
// === GRÁFICOS ===
plot(emaFast, color=color.orange, linewidth=2)
plot(emaSlow, color=color.red, linewidth=2)
// === SEÑALES ===
plotshape(reboteBuy,
title="BUY",
style=shape.triangleup,
location=location.belowbar,
color=color.lime,
size=size.small)
plotshape(reboteSell,
title="SELL",
style=shape.triangledown,
location=location.abovebar,
color=color.red,
size=size.small)
Gold Traders Shymkent# Gold Traders Shymkent
## Description
**Gold Traders Shymkent** is a professional ZigZag indicator designed specifically for traders from Kazakhstan. Based on the classic ZigZag indicator logic from MT4 platform, it identifies key trend points in price movements and displays them visually.
## Key Features
### 🎯 Core Functions:
- **ZigZag Analysis**: Identification of significant price highs and lows
- **Kazakh Labeling**: ЖЖ (Higher High), ЖТ (Higher Low), ТЖ (Lower High), ТТ (Lower Low) labels in Kazakh language
- **Flexible Settings**: Depth, Deviation, and Backstep parameters
- **Two Modes**: Repainting and non-repainting modes
### ⚙️ Configuration Parameters:
1. **ZigZag Settings**:
- Depth - reversal depth
- Deviation - minimum deviation percentage
- Backstep - backward step value
2. **Display Parameters**:
- Line thickness
- Bull/Bear colors
- Show/hide labels
- Toggle ЖЖ/ЖТ/ТЖ/ТТ markers
- Transparency for lines and labels
3. **Operation Modes**:
- Repainting mode (real-time updates)
- ZigZag line extension option
### 🔔 Alert System:
The indicator provides alerts for:
- New ЖЖ/ЖТ/ТЖ/ТТ points formation
- Direction changes (bull to bear or vice versa)
- Trend reversals
### Advantages:
- **Easy to Use**: Intuitive interface with Kazakh language settings
- **Flexibility**: Adaptable to different market conditions
- **Clarity**: Kazakh labeling convenient for local traders
- **Versatility**: Works on all timeframes
## Usage Instructions
### Basic Usage:
1. **Trend Identification**: Monitor main trend through ZigZag lines
2. **Support/Resistance Levels**: Use extremum points as support and resistance levels
3. **Reversal Points**: Identify trend change points
### Recommended Settings:
- **For volatile markets**: Depth = 12, Deviation = 5
- **For slow markets**: Depth = 20, Deviation = 8
- **To reduce whipsaws**: Backstep = 3
## Important Notes
⚠️ **Key Considerations**:
- The indicator may operate in repainting mode
- False signals possible on lower timeframes
- Adjust settings according to market conditions
- Use with other indicators for major trading decisions
## Technical Details
- **Author**: Based on Dev Lucem code, adapted to Kazakh language
- **Language**: Pine Script v5
- **Interface Language**: Kazakh
- **Required Libraries**: DevLucem/ZigLib/1
---
📊 **Gold Traders Shymkent** - A professional analysis tool specifically developed for Kazakhstani traders. The indicator combines accuracy with ease of use to assist in market decision making.
**Motto**: "Accuracy and reliability - the key to successful trading!"
Gold Traders Shymkent# Gold Traders Shymkent
## Description
**Gold Traders Shymkent** is a professional ZigZag indicator designed specifically for traders from Kazakhstan. Based on the classic ZigZag indicator logic from MT4 platform, it identifies key trend points in price movements and displays them visually.
## Key Features
### 🎯 Core Functions:
- **ZigZag Analysis**: Identification of significant price highs and lows
- **Kazakh Labeling**: ЖЖ (Higher High), ЖТ (Higher Low), ТЖ (Lower High), ТТ (Lower Low) labels in Kazakh language
- **Flexible Settings**: Depth, Deviation, and Backstep parameters
- **Two Modes**: Repainting and non-repainting modes
### ⚙️ Configuration Parameters:
1. **ZigZag Settings**:
- Depth - reversal depth
- Deviation - minimum deviation percentage
- Backstep - backward step value
2. **Display Parameters**:
- Line thickness
- Bull/Bear colors
- Show/hide labels
- Toggle ЖЖ/ЖТ/ТЖ/ТТ markers
- Transparency for lines and labels
3. **Operation Modes**:
- Repainting mode (real-time updates)
- ZigZag line extension option
### 🔔 Alert System:
The indicator provides alerts for:
- New ЖЖ/ЖТ/ТЖ/ТТ points formation
- Direction changes (bull to bear or vice versa)
- Trend reversals
### Advantages:
- **Easy to Use**: Intuitive interface with Kazakh language settings
- **Flexibility**: Adaptable to different market conditions
- **Clarity**: Kazakh labeling convenient for local traders
- **Versatility**: Works on all timeframes
## Usage Instructions
### Basic Usage:
1. **Trend Identification**: Monitor main trend through ZigZag lines
2. **Support/Resistance Levels**: Use extremum points as support and resistance levels
3. **Reversal Points**: Identify trend change points
### Recommended Settings:
- **For volatile markets**: Depth = 12, Deviation = 5
- **For slow markets**: Depth = 20, Deviation = 8
- **To reduce whipsaws**: Backstep = 3
## Important Notes
⚠️ **Key Considerations**:
- The indicator may operate in repainting mode
- False signals possible on lower timeframes
- Adjust settings according to market conditions
- Use with other indicators for major trading decisions
## Technical Details
- **Author**: Based on Dev Lucem code, adapted to Kazakh language
- **Language**: Pine Script v5
- **Interface Language**: Kazakh
- **Required Libraries**: DevLucem/ZigLib/1
---
Condicion2Indicates with shading Strength at the beginning of wave 3, in the form of a blue candle + strong green (below)
