Breakout line - AndurilThis line shows the highest daily closing price of last 20 days default (can be adjusted from the settings). to help you to understand consolidation points and breakouts.
Bands and Channels
R Dominant Range [CRT] by Sergi SernaR Dominant Range identifies the most influential R range located to the left of the current price action. It highlights the dominant zone that still impacts market behavior, helping traders understand which range is controlling the current structure.
BB_4_in_1Bollinger Bands (4 in 1)
BB_4_in_1 is a multi-timeframe Bollinger Bands indicator that displays four different sets of Bollinger Bands on the price chart with customizable periods, line styles, and transparency levels. And just to simplify the process of applying indicators, + space saving.
Features:
- Four Bollinger Bands sets: bb_1 (20), bb_2 (80), bb_3 (160), bb_4 (320)
- Customizable period and multiplier for each set
- Unique line styles: standard, stepline, and stepline_diamond
- Adjustable line transparency for better visibility
- No fill between bands for cleaner chart layout
Ideal for multi-timeframe analysis, volatility assessment, and support/resistance level identification.
Weekly + Daily + H4 Sup and Res ZonesEveryday price move at a set range. Just wait at the zone for candle reversal/continuation pattern formation before entry. Always keep it simple. Patience is key. Just Pick your preferred tf zone. Daily zone highly recommended for less than 100 pips target. H4 for scalpers and Weekly for swingers.
HEK Dinamik Fiyat Kanalı Stratejisi v1HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
6 gün önce
Sürüm Notları
HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
MA Break Trend Strategy - Multi Stop MethodsThis is a trend-following trading strategy with multiple stop loss options for both long and short positions.
Entry Signal: Trades are triggered when price crosses above (long) or below (short) a configurable moving average (EMA or SMA, default 200-period)
Volume Confirmation: Optional filter requiring volume to exceed a multiplier (default 1.5x) of the 20-period volume average before entering trades
Five Stop Loss Methods:
- ATR-based: Dynamic stop using Average True Range multiplier below/above entry price
- MA Buffer: Stop set at a percentage offset from a separate moving average (default 50-period EMA)
- Donchian Channel: Uses the lowest low/highest high over a specified lookback period
- Keltner Channel: ATR-based bands around an EMA basis
- Lowest Low/Highest High: Simple swing point stops based on recent price extremes
- Trailing Stops: All stop methods automatically trail in the profitable direction (upward for longs, downward for shorts) to lock in gains while never moving against the position
Visual Indicators:
- Plots the trend-following moving average in blue
- Shows active stop loss levels in red when in a position
- Displays reference lines for all stop types when flat
- Entry signals marked with triangles (green up for long, red down for short)
- Background highlighting for volume-confirmed crossovers
Marshall Gold Spot SignalsPrediction of How It Will Behave (Live on Chart)
✅ Bullish Scenario (Uptrend Prediction)
If price:
Drops near or below the lower Bollinger Band
Then crosses above the SMA(20)
→ You’ll get a "BUY" label right below the candle.
🟢 What happens:
If trend continues up, SMA(20) moves above SMA(50)
Price trades between middle and upper BB
Potential continuation pattern
Confidence: High in sideways-to-uptrend markets
Target levels: Middle-to-upper BB
❌ Bearish Scenario (Downtrend Prediction)
If price:
Spikes near upper BB
Then crosses below the SMA(20)
→ You’ll get a "SELL" label above the candle.
🔻 What happens:
Price typically moves toward middle/lower BB
Possible SMA(20) < SMA(50) cross
Trendline drawn downward
Confidence: Strong in overbought markets
Target levels: BB Basis or BB Lower
🤔 Consolidation / Chop Zone
When:
Price stays between SMA(20) and SMA(50)
BB bands are tight
⚠️ You might get false signals back and forth (whipsaw)
Tip: Add RSI or trend filter to reduce noise
📊 Realistic Performance Expectations
Market Condition Signal Quality Best Use
Strong Trend ✅ High Trend-following entries
Ranging Market ⚠️ Medium to Low Better with filters (e.g. RSI)
Volatile Breaks ✅ Good with BB Volatility squeeze detection
KeyzoneKeyzone is a dynamic support and resistance framework that identifies price reaction zones using the highest and lowest values over specific lookback periods.
It consists of four pairs of upper and lower lines:
– Keyzone 3 (light green): short-term micro swing zones
– Keyzone 8 (dark green): short-term intraday zones
– Keyzone 21 (orange): medium-term structural zones
– Keyzone 89 (red): long-term major zones
Each Keyzone adapts automatically to price movement, helping traders see where market participants are likely to react. The shorter zones (3, 8) capture quick pullbacks, while the longer zones (21, 89) reveal deeper institutional levels. This makes Keyzone a clear, multi-layered visual map of market structure that adjusts with every new candle.
Dashboard Trader _V1
📊 Dashboard Trader – Adaptive Structure, Trend & Zones
Description:
NSE Dashboard V3 is a next-gen support–resistance and trend-mapping indicator designed for positional and swing traders. It combines price structure, moving averages, and adaptive pivot logic to highlight Buy Zones, Take-Profit Zones, and overall market direction — all inside a clean, compact dashboard.
⸻
🧩 What It Does
• Auto-detects structural support & resistance zones using adaptive pivot clustering logic.
• Tracks broken levels dynamically — old supports removed, new ones added.
• Identifies trend bias using dual EMAs (20-EMA & 50-EMA).
• Displays a live dashboard table showing:
• LTP (Last Traded Price)
• 20 EMA / 50 EMA
• 52-week High & Low (true daily data)
• Structural Support & Resistance
• % Distance to each zone
• Trend direction
• Trade Setup Zone → BUY ✅ / TAKE PROFIT ⚠ / NEUTRAL
⸻
🧠 How to Trade It
1. Check the trend:
• 20 EMA > 50 EMA → Bullish bias (look for long entries).
• 20 EMA < 50 EMA → Bearish bias (look for short or avoid longs).
2. Enter near support:
• When price is ≤ 2% above Struct Support and trend is bullish → BUY ZONE ✅
3. Exit or reduce near resistance:
• When price is ≤ 2% below Struct Resistance → TAKE PROFIT ⚠
4. If no valid resistance (at ATH):
• Trail stop below 20 EMA or last swing low.
⸻
⚙️ Key Features
• EMA-based trend detection
• Dynamic structural zone calculation (auto-updates)
• Daily timeframe 52-week High/Low
• Auto color-coded zones and table
• Works on all NSE stocks, futures, or indices
• Optional refresh every new bar
• Lightweight – optimized for live chart use
⸻
📈 Best Used For
• Swing trading / Positional setups (Daily or 4-hour charts)
• Intraday confirmation on lower timeframes (15-min+)
• Trend continuation entries and risk-defined reversals
⸻
⚠️ Disclaimer
This indicator is for educational purposes only.
It does not constitute financial advice or a buy/sell recommendation.
Always combine with your own price action, volume, and risk management.
⸻
💬 Author’s Note
Built for traders who think in zones, not signals.
Trade where risk is smallest and structure is strongest.
— Wealthcafe Investments
KZ One — Scalping Training StrategyKZ One is a scalping strategy developed for M1 and M5 timeframes. It is designed to help traders study and practice short-term market behavior by using structured zones to highlight potential entry and exit areas. The strategy allows customization of Risk (USD) and Take Profit (R multiple) parameters for flexible trade management. Additional tools include ATR-based filters to skip low-volatility conditions and a Pre-Alert Lead (bars) option that notifies users ahead of possible setups. KZ One is intended for educational and analytical purposes, promoting disciplined and consistent trading practice.
RAFEN-G - Kill Zones & Institutional Gaps🔍 What It Does
Kill Zones (KZ1, KZ2, KZ3)
Automatically highlights the main intraday liquidity windows such as the London open, NY AM, and NY PM sessions — customizable by time, color, and transparency.
Perfect for timing setups, identifying liquidity sweeps, or backtesting session behavior.
Institutional GAP Detection (NY 11:00 → 03:00)
Anchored on the New York H1 clock, the script automatically draws the “institutional gap” between the 11:00 close and the 03:00 open of the next trading day.
Each gap is drawn as a transparent box with a label showing its size in price units.
Dynamic Cleanup & Color Updates
Automatically removes old boxes beyond your chosen history limit and keeps all visuals perfectly synchronized in real-time.
⚙️ Key Features
3 fully independent and editable Kill Zones
Adjustable timezone (default: America/New_York)
Works on all intraday timeframes
Auto-management of historical data
Clean and lightweight visuals (up to 2000 boxes)
Real-time color and transparency updates
Alerts when each Kill Zone starts
🧠 Ideal For
Traders using ICT, SMC, or institutional frameworks who want clear visual separation of market sessions and automatic tracking of session-to-session gaps for confluence or imbalance analysis.
🕐 Recommended Use
Apply on 5 min / 15 min / 1 h charts, align timezone to NYC, and combine with liquidity or FVG tools for maximum insight.
Short-Timeframe Volume Spike DetectorShort-Timeframe Volume Spike Detector
Description:
The Short-Timeframe Volume Spike Detector is an advanced multi-timeframe (MTF) indicator that automatically detects sudden volume surges and price expansion events on a lower timeframe and displays them on a higher (base) timeframe chart — helping traders identify hidden intraday accumulation or breakout pressure within broader candles.
⚙️ How It Works
Select a Base Timeframe (e.g., Daily, 4H, 1H).
The script automatically fetches data from a Lower Timeframe (e.g., Daily → 1H, 1H → 15m).
Within each base bar, it scans all the lower timeframe candles to find:
Volume Spikes: Volume exceeds average × multiplier or a custom threshold.
Price Strength: Candle shows upward movement beyond a minimum % change.
When both conditions are met, a spike signal is plotted on the higher timeframe chart.
🔍 Features
✅ Automatic Lower Timeframe Mapping — Dynamically selects the most relevant lower timeframe.
✅ Two Detection Modes:
Multiplier Mode: Volume spikes defined as multiple of average lower timeframe volume.
Manual Mode: Custom absolute volume threshold.
✅ Trend Filter Option: Show only signals during uptrends (configurable).
✅ Visual Markers:
Purple “X” = Volume Spike Detected
Dotted red & green lines = Candle range extension
✅ Custom Label Placement: Above High / Below Low / At Spike Price
✅ Debug Mode: Displays full diagnostic info including detected volume, threshold, and % change.
📊 Use Cases
Detect early accumulation in daily candles using hourly or 15-min data.
Identify institutional buying interest before visible breakouts.
Confirm strong continuation patterns after price compression.
Spot hidden intraday activity on swing or positional charts.
🧩 Inputs Overview
Input Description
Base Timeframe Main chart timeframe for analysis
Lookback Bars Number of recent candles to scan
Volume Mode “Multiplier” or “Manual Benchmark”
Volume Multiplier Multiplier applied to average lower timeframe volume
Manual Volume Threshold Fixed volume benchmark
Min Price Change % Minimum lower timeframe candle % move to qualify
Use Trend Filter Only show in uptrend (close > close )
Extend Bars Number of bars to extend dotted lines
Label Position Choose Above High / Below Low / At Spike Price
Debug Mode Show live internal values for calibration
🧠 Tips
Ideal for swing traders and multi-timeframe analysts.
Works best when base = Daily and lower = Hourly or 15m.
Combine with Volume Profile, VWAP, or RRG-style analysis for stronger confluence.
Use Multiplier 1.5–2.5 to fine-tune for your asset’s volatility.
⚠️ Notes
Works only when applied to the base timeframe selected in inputs.
May not display signals on non-standard intraday timeframes (like 3H).
Labels limited to max_labels_count for performance stability.
My Smart Volume Profile – Fixed
Title: 🔹 My Smart Volume Profile – Fixed
Description:
Lightweight custom Volume Profile showing POC, VAH, and VAL levels from recent bars. Highlights the value area, marks price touches, and supports optional alerts.
Developer Note:
Created with precision and simplicity by Magnergy
Pi Toolkit – MAs & Volatility Bands (Label v6 Clean)learning how to code, trying to see if Pi will unlock the secrets of the market!
see if it works for anyone!
thanks again
MINE CBPR Lite ✦MINE CBPR ✦ Lite is the prototype foundation of the MINE CBPR ✦ Pro —
a streamlined, publicly available version built to introduce traders to the system’s advanced Channel Breakout and Pivot Reversal logic.
It retains the essential structural detection engine of the Pro version while simplifying its layers, allowing anyone to experience precise market reversals without complex filters or heavy computation.
Designed for clarity and accessibility, it provides actionable reversal insights across all markets — from crypto futures to indices and stocks.
As the official prototype, MINE CBPR ✦ Lite represents the first step toward the full CBPR ✦ Pro experience.
Test the Lite version, experience its structure, and take your trading further with the complete Pro edition.
When you upgrade to MINE CBPR ✦ Pro, you’ll unlock twice the number of signals, enhanced structural intelligence, and exclusive features of the full CBPR system — all with permanent lifetime access to the indicator.
Experience the complete power of CBPR ✦ Pro, built for precision, performance, and total market adaptability.
EMA Channel – Multi-Timeframe Adaptive Bands📘 Short Description (for TradingView listing)
A powerful, adaptive EMA channel indicator with independent timeframes for each band (Lower / Median / Upper), dynamic colors, and a smart configurable resistance line that can follow price, EMA, or ATR-based volatility.
Perfect for multi-timeframe confluence analysis, support/resistance mapping, and identifying early trend reversals.
🔹 Overview
The EMA Channel – Multi-Timeframe Adaptive Bands creates a dynamic price corridor that adapts to volatility and structure across multiple timeframes.
Each of the three bands (Lower, Median, and Upper) is independently configurable with its own:
Timeframe
EMA length
Source (close, hl2, ohlc4)
Line width, color logic, and visibility
The indicator also features automatic color shifts depending on price position, providing instant trend context.
🔹 Core Features
✅ Lower/Base EMA (Support)
Anchored EMA that defines the lower boundary of the trend channel.
Turns blue when price is above (bullish control) and red when price breaks below.
✅ Median Line (Neutral / Balance Zone)
Can either be its own EMA or automatically calculated as the midpoint between lower and upper bands.
Yellow below price, red above – clear mid-zone visualization.
✅ Upper Band (Dynamic Resistance)
Built above the selected anchor (Lower EMA, Median, Own EMA, or Price).
Configurable by ATR, Percentage offset, or ATR + Percentage combo.
Additional fine-tuning options:
Minimum gap (ATR or % based)
Absolute offset (price units)
EMA smoothing for a cleaner visual curve
Turns green when above price (active resistance) and red if price breaks through.
✅ Multi-Timeframe Engine
Each band is computed in its own timeframe (5D, 1D, 4H, etc.), making the tool highly adaptable for cross-TF confluence setups.
The "Hold HTF value between bars" option ensures smooth visualization when switching chart timeframes.
✅ Optional Channel Fill
Soft gray background fill between Lower and Upper bands for quick recognition of the dominant structure.
🔹 Typical Use Cases
Identify multi-timeframe trend channels and reversals.
Use the Upper band as adaptive resistance and the Lower EMA as dynamic support.
Combine with volume and RSI/MACD for confirmation of breakouts or retests.
Works for crypto, forex, indices, and stocks.
🔹 Technical Notes
Uses request.security() with barmerge.gaps_off and optional lookahead_on to preserve higher-timeframe integrity.
Compatible with all symbols and chart timeframes.
Designed for traders who rely on visual confluence and precision trend detection rather than single EMA signals.
🧠 Credits & Author Note
Developed by Bogdan TOMOIAGA – built for precision trend tracking, multi-timeframe analysis, and dynamic color feedback.
Inspired by institutional-grade volatility envelopes and enhanced with Pine v5 adaptive plotting.
⚠️ Disclaimer
This script is provided for informational and educational purposes only.
It does not constitute financial advice, trading advice, or investment guidance of any kind.
Past performance does not guarantee future results.
Trading involves risk — including the possible loss of capital.
Always do your own research and consult a licensed financial advisor before making any trading decisions.
The author and publisher of this script assume no responsibility or liability for any losses or damages resulting from its use.
My Smart Volume Profile – Fixed
Title: 🔹 My Smart Volume Profile – Fixed
Description:
Lightweight custom Volume Profile showing POC, VAH, and VAL levels from recent bars. Highlights the value area, marks price touches, and supports optional alerts.
Developer Note:
Created with precision and simplicity by Magnergy
My Smart Volume Profile – Fixed
Title: 🔹 My Smart Volume Profile – Fixed
Description:
Lightweight custom Volume Profile showing POC, VAH, and VAL levels from recent bars. Highlights the value area, marks price touches, and supports optional alerts.
Developer Note:
Created with precision and simplicity by Magnergy
Margen de confianzaIt uses two moving averages (20 and 80). Based on their crossovers, you draw parallel bands.
The zone between these bands signals “confidence.” A downside break warns of risk; an upside break suggests price could push to new highs.
Son 2 medias moviles. Una de 20 y otra de 80. Utilizando los cruces se puede trazar lineas paralelas.
En las zonas que quedan entre estas lineas hay "confianza". Si el precio atraviesa para abajo hay peligro y si atraviesa para arriba puede ir a romper maximos
Power Law BTC IndicatorPOWER LAW BTC indicator:
A long-term price model that suggests Bitcoin's price follows a power law function over time. Unlike traditional stock market models that assume linear or exponential growth, the power law model suggests that Bitcoin's price scales in a predictable, non-random way over the long run
Kalman Filter by TwisterTrades(1D + Body Condition)
## 🧭 **Kalman Filter (1D + Body Condition)
This script implements a **true 1-dimensional Kalman Filter** applied to price data — not a simple moving average.
The Kalman Filter is a **Bayesian optimal estimation algorithm**, designed to separate **market noise** from the **true underlying trend** by dynamically adapting its sensitivity at every new bar.
Unlike **EMA**, **SMA**, or **VWAP**, which use fixed weighting formulas, the Kalman Filter **learns** how much to trust the current price based on how noisy and volatile the market is.
The result is a **smoother and smarter curve** that follows the real market direction while rejecting random fluctuations.
---
### ⚙️ **How It Works**
1. **Prediction:** The filter assumes the trend continues (predicts the next value).
2. **Update:** It compares the prediction with the actual price and updates its estimate based on:
* **Q (Process Noise):** how much the true trend can change.
* **R (Measurement Noise):** how noisy or unreliable the current price is.
3. The **Kalman Gain (K)** adjusts automatically — it becomes more responsive when volatility increases and more stable when the market is calm.
---
### 🎯 **Signals Logic**
The script generates **BUY** and **SELL** labels based on a combination of:
* **Trend direction:** whether the Kalman line is turning up or down.
* **Body confirmation:** the candle body closes entirely **above** or **below** the Kalman line.
**🟩 BUY signal:**
* Trend is turning bullish (line turning green).
* Candle body closes fully **above** the Kalman line.
**🟥 SELL signal:**
* Trend is turning bearish (line turning red).
* Candle body closes fully **below** the Kalman line.
You can enable alerts for both conditions:
```text
Kalman Filter: BUY signal detected (body above filter)
Kalman Filter: SELL signal detected (body below filter)
```
---
### 🔊 **Understanding Noise and Signals**
* **Noise** refers to short-term, random fluctuations in price (e.g. stop-hunts, low-volume spikes, or microstructure volatility).
* **Signal** refers to consistent, directional movement that carries information about the real trend.
The Kalman Filter works as a **signal extractor** — removing meaningless movements while keeping true directional momentum.
If the line is smooth and consistent, it means the market’s directional “signal” is clear.
If the line oscillates frequently, it means **noise dominates** — and trading signals should be taken with caution.
---
### ⏱️ **Recommended Timeframes and Parameters**
The strength of the filter depends on how noisy your timeframe is.
Here’s how to adjust it for different use cases:
| Purpose | Timeframe | Q (Process Noise) | R (Measurement Noise) | Description |
| ----------------------------- | --------- | ----------------- | --------------------- | --------------------------------------- |
| **Scalping / Microstructure** | 1m – 3m | 0.001 | 0.05 | Reacts faster, filters tick-level noise |
| **Intraday Bias / Trend** | 5m – 15m | 0.0001 | 0.01 | Balanced reactivity and smoothness |
| **Swing / Macro Bias** | 1H – 4H | 0.00001 | 0.001 | Very stable, great for clean trend bias |
💡 **Pro tip:**
* If the filter lags too much → increase **Q** slightly.
* If it reacts too much (too noisy) → increase **R** slightly.
* Always backtest adjustments visually for your market’s volatility (e.g. XAU/USD or NAS100).
---
### 📈 **Comparison with Other Indicators**
| Indicator | Adaptivity | Noise Filtering | Reactivity | Ideal Use |
| -------------------- | ---------------- | --------------- | ------------- | ---------------------------- |
| **SMA** | ❌ Fixed weights | ❌ Poor | ⚠️ Slow | Clean long trends |
| **EMA** | ⚠️ Semi-adaptive | ⚠️ Medium | ✅ Fast | Intraday direction |
| **VWAP** | ⚠️ Volume-based | ⚠️ Moderate | ✅ Good | Session-level bias |
| **Kalman Filter 1D** | ✅ Fully adaptive | ✅ Excellent | ✅ Intelligent | Any noisy or volatile market |
---
### 📊 **Usage Tips**
* Use the Kalman Filter as a **directional bias tool**, not a signal generator alone.
* Combine it with **price action**, **volume**, or **market structure** to confirm entries.
* Works exceptionally well on assets with **high noise and volatility** (e.g. XAU/USD, NASDAQ, BTCUSD).
* You can use the Kalman line instead of EMA50 or EMA100 — it provides a cleaner trend estimate without lagging as much in choppy conditions.
---
### ⚠️ **Disclaimer**
The Kalman Filter is not a predictive tool but a **state estimator** — it helps reveal the *true underlying direction* by filtering out noise.
It should be used together with sound risk management and a clear trading plan.






















