Fallback VWAP (No Volume? No Problem!) – Yogi365Fallback VWAP (No Volume? No Problem!) – Yogi365
This script plots Daily, Weekly, and Monthly VWAPs with ±1 Standard Deviation bands. When volume data is missing or zero (common in indices or illiquid assets), it automatically falls back to a TWAP-style calculation, ensuring that your VWAP levels always remain visible and accurate.
Features:
Daily, Weekly, and Monthly VWAPs with ±1 Std Dev bands.
Auto-detection of missing volume and seamless fallback.
Clean, color-coded trend table showing price vs VWAP/bands.
Uses hlc3 for VWAP source.
Labels indicate when fallback is used.
Best Used On:
Any asset or index where volume is unavailable.
Intraday and swing trading.
Works on all timeframes but optimized for overlay use.
How it Works:
If volume == 0, the script uses a constant fallback volume (1), turning the VWAP into a TWAP (Time-Weighted Average Price) — still useful for intraday or index-based analysis.
This ensures consistent plotting on instruments like indices (e.g., NIFTY, SENSEX,DJI etc.) which might not provide volume on TradingView.
Cari dalam skrip untuk "bands"
BBands Channels with EMAs# **BBands Channels with EMAs Indicator Explanation**
---
## **📌 Feature Overview**
### **1. Bollinger Bands**
- **Basis Line**: 160-period SMA (adjustable)
- **Inner Bands**:
- **Upper**: Basis + 2× Standard Deviation
- **Lower**: Basis - 2× Standard Deviation
- **Outer Bands**:
- **Upper Top**: Basis + 3× Standard Deviation
- **Lower Low**: Basis - 3× Standard Deviation
- **Fill Effect**: Semi-transparent black fill between inner and outer bands
### **2. Exponential Moving Averages (EMAs)**
| Period | Purpose | Line Style |
|--------------|-----------------------------|------------------|
| **EMA 27** | Short-term trend | Thin line |
| **EMA 120** | Short-to-medium-term trend | Medium line |
| **EMA 200** | Medium-term trend | Medium line |
| **EMA 1120** | Ultra-long-term trend | Thick line |
---
## **⚙️ Parameter Settings**
### **Bollinger Bands**
| Parameter | Default | Description |
|---------------|---------|--------------------------------------|
| `length` | 160 | SMA calculation period |
| `mult` | 2.0 | Standard deviation multiplier (inner bands) |
| `multOuter` | 3.0 | Standard deviation multiplier (outer bands) |
| `offset` | 0 | Time offset for plots (±500 bars) |
### **Exponential Moving Averages (EMAs)**
| Parameter | Default | Description |
|-----------------|---------|---------------------------|
| `ema1Length` | 27 | EMA 1 period |
| `ema2Length` | 120 | EMA 2 period |
| `ema3Length` | 200 | EMA 3 period |
| `ema4Length` | 1120 | EMA 4 period |
---
## **📊 Use Cases**
### **1. Trend Confirmation**
- **Bullish Trend**: Price above EMA200 + Bollinger Band expansion
- **Bearish Trend**: Price below EMA200 + Bollinger Band expansion
### **2. Overbought/Oversold Signals**
- **Upper Band Touch**: Price reaches Upper Top → Potential overbought
- **Lower Band Touch**: Price reaches Lower Low → Potential oversold
### **3. Volatility Strategies**
- **Band Squeeze**: Narrowing gap between bands → Breakout warning
- **Band Expansion**: Price breaks outer band → Trend acceleration
---
**✅ Summary**
This indicator combines **Bollinger Bands + Multi-period EMAs** for:
- Trend tracking
- Volatility analysis
- Multi-timeframe strategies
---
# **BBands Channels with EMAs 指標說明**
---
## **📌 功能概述**
### **1. 布林通道 (Bollinger Bands)**
- **基礎線 (Basis Line)**: 160週期SMA（可調整）
- **內通道 (Inner Bands)**:
- 上軌 (Upper): 基礎線 + 2倍標準差
- 下軌 (Lower): 基礎線 - 2倍標準差
- **外通道 (Outer Bands)**:
- 上外軌 (Upper Top): 基礎線 + 3倍標準差
- 下外軌 (Lower Low): 基礎線 - 3倍標準差
- **填充效果**: 內外通道間半透明黑色填充
### **2. 指數移動平均線 (EMAs)**
| 週期 | 用途 | 線條樣式 |
|-------------|-------------------|-----------------|
| **EMA 27** | 短期趨勢 | 細線 |
| **EMA 120** | 中短期趨勢 | 中等線 |
| **EMA 200** | 中期趨勢 | 中等線 |
| **EMA 1120**| 超長期趨勢 | 粗線 |
---
## **⚙️ 參數設定**
### **布林通道 (Bollinger Bands)**
| 參數名 | 預設值 | 說明 |
|-------------|--------|---------------------------|
| `length` | 160 | SMA計算週期 |
| `mult` | 2.0 | 內通道標準差倍數 |
| `multOuter` | 3.0 | 外通道標準差倍數 |
| `offset` | 0 | 線圖時間偏移（±500根K棒） |
### **指數移動平均線 (EMAs)**
| 參數名 | 預設值 | 說明 |
|----------------|---------|-------------------|
| `ema1Length` | 27 | 第一條EMA週期 |
| `ema2Length` | 120 | 第二條EMA週期 |
| `ema3Length` | 200 | 第三條EMA週期 |
| `ema4Length` | 1120 | 第四條EMA週期 |
---
## **📊 應用場景**
### **1. 趨勢確認**
- **多頭趨勢**: 價格在EMA200上方 + 布林通道擴張
- **空頭趨勢**: 價格在EMA200下方 + 布林通道擴張
### **2. 超買超賣信號**
- **觸及外軌**: 價格觸碰Upper Top → 可能超買
- **觸及下軌**: 價格觸碰Lower Low → 可能超賣
### **3. 波動率策略**
- **通道收窄**: 內外通道間距縮小 → 突破預警
- **通道擴張**: 價格突破外軌 → 趨勢加速
---
**✅ 總結**
本指標透過**布林通道+多週期EMA**的組合，適用於：
- 趨勢跟蹤
- 波動率分析
- 多時間框架策略
DBMA - Dual Bollinger Moving AverageThe Dual Bollinger moving average (DBMA) consists of a moving average (MA) & two Bollinger Bands (BB), with the color of the bands representing the level of price compression. In its default settings, it is a 20-day simple moving average with 2 upper Bollinger Bands, having the standard deviation (SD) settings of 0.5 & 1, respectively.
How close the price is to the moving average?
For a pullback trader, the entry point should be close to the moving average, preferably with price compression. How close should it be, is where the bands serve as a guide. The low of the pullback candle should be within the bands, that is, at least within the far band (1 SD of the MA), or even better if it's within the near band (0.5 SD). When the price is outside the bands, it should not be considered favourable for a pullback entry.
For how long has the price been closer to the moving average?
John Carter’s TTM Squeeze indicator looked at the relationship between Bollinger Bands and Keltner's Channels to help identify period of volatility contractions. Bollinger Bands being completely enclosed within the Keltner Channels is indicative of a very low volatility. This is a state of volatility contraction known as squeeze. Using different ATR lengths (1.0, 1.5 and 2.0) for Keltner Channels, we can differentiate between levels of squeeze (High, Mid & Low compression, respectively). Greater the compression, higher the potential for explosive moves.
The squeeze portion of the script is based on LazyBear's script ( Squeeze Momentum Indicator )
The High, Mid & Low compression squeezes are depicted via the color of the bands being red, orange, or yellow, respectively. With the low of the pullback candle within the bands, & the squeeze color changing to red, it should be considered favourable for a pullback entry.
Trailing the price with the lower bands
The lower bands can be used for trailing with the moving average. While trailing, once the price closes below the moving average, the trailing stoploss (TSL) is said to be triggered, & the trade is exited. Here we use the bands to give it some cushion. Let the price close below the 1SD band for labelling the TSL as being triggered to exit the trade. If the price closes below the MA but is still within the bands, the signal is to keep holding the trade.
Money NoodleMoney Noodle Indicator - How It Works
The Money Noodle indicator is a trend-following and support/resistance tool that combines multiple exponential moving averages (EMAs) with dynamic volatility-based bands to create a comprehensive trading system.
Core Components
1. Triple EMA System ("The Noodles")
Fast EMA (12): Most responsive to price changes, shows short-term momentum
Medium EMA (21): Intermediate trend direction
Slow EMA (35): Main trend line that acts as the central reference point
The "noodle" effect comes from how these three EMAs weave around each other and the price action, creating curved, flowing lines that resemble noodles.
2. Dynamic Volatility Bands
Upper Band: Main EMA + (ATR × Band Multiplier)
Lower Band: Main EMA - (ATR × Band Multiplier)
Uses a 20-period ATR (Average True Range) to measure market volatility
Band width automatically adjusts - wider during volatile periods, tighter during consolidation
How It Functions
Trend Identification:
When all three EMAs are aligned (fast > medium > slow), it indicates a strong uptrend
When EMAs are inverted (fast < medium < slow), it signals a downtrend
EMA crossovers provide early trend change signals
Support & Resistance:
The bands act as dynamic support and resistance levels
Price tends to bounce off the bands during trending markets
Band breaks often signal strong momentum moves or trend changes
Volatility Assessment:
Band width indicates market volatility - wider bands = higher volatility
ATR-based calculation makes the bands adaptive to current market conditions
The 0.0125 multiplier provides optimal sensitivity for most timeframes
Trading Applications
Entry Signals:
Buy when price bounces off the lower band with EMA alignment
Sell when price bounces off the upper band against the trend
Breakout trades when price decisively breaks through bands
Trend Following:
Use the main EMA (35) as your trend filter
Trade in the direction of EMA alignment
The "noodles" help identify trend strength - tighter = stronger trend
Risk Management:
Bands provide natural stop-loss levels
Band width helps size positions (wider bands = smaller size due to higher volatility)
The indicator works best on daily timeframes and provides a visual, intuitive way to read market structure, trend direction, and volatility all in one tool.
Oculus Ultra Parallel S/R Channel**Oculus Ultra Parallel S/R Channel**
*Version 1.0 | Pine Script v6*
**Overview**
This indicator overlays a statistically-driven support/resistance channel on your chart by fitting a linear regression (median) line and plotting parallel bands at a configurable multiple of standard deviation. It adapts dynamically to both trend and volatility, highlights potential reaction zones, and offers optional alerts when price touches key levels.
**Key Features**
* **Median Regression Line**
Fits a best-fit line through the chosen lookback of price data, showing the underlying trend.
* **Volatility-Based Bands**
Upper and lower bands offset by *N*× standard deviation of regression residuals, capturing dynamic S/R zones.
* **Dynamic Coloring**
* Median line turns **teal** when sloping up, **orange** when sloping down.
* Bands tinted green or red depending on their position relative to the median.
* **Channel Fill**
Optional shaded area between the bands for immediate visual context.
* **Touch Alerts**
Precision alerts and on-chart markers when price touches the support or resistance band, with configurable tick tolerance.
* **Clean Layout**
Minimal lines and plots to avoid chart clutter, adjustable via toggle inputs.
**How to Use**
1. **Apply the Script** – Add to any timeframe in overlay mode.
2. **Configure Inputs** –
* **Channel Length**: Number of bars for regression and volatility calculation.
* **Deviation Factor**: Multiplier for band width (in standard deviations).
* **Show/Hide Elements**: Toggle median line, bands, fill, and touch alerts.
* **Color by Slope**: Enable slope-based median coloring.
* **Touch Tolerance**: Number of ticks within which a band touch is registered.
3. **Interpret the Channel** –
* **Trend**: Follow the slope and color of the median line.
* **Support/Resistance**: Bands represent dynamic zones where price often reacts.
* **Alerts**: Use touch markers or alert pop-ups to time entries or exits at band levels.
**Inputs**
* **Channel Length** (default: 100)
* **Deviation Factor** (default: 1.0)
* **Show Median Regression Line** (true/false)
* **Show Channel Bands** (true/false)
* **Fill Between Bands** (true/false)
* **Color Median by Slope** (true/false)
* **Alert on Band Touch** (true/false)
* **Touch Tolerance (ticks)** (default: 2)
**Version History**
* **1.0** – Initial release with dynamic regression channel, slope coloring, band fill, and touch alerts.
**Disclaimer**
This indicator is intended for educational purposes. Always backtest with your own settings and apply sound risk management before trading live.
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview
The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay.
Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action.
⚪ In simple terms:
▸ The Bands = The Stochastic Oscillator — but on price.
▸ The Midline = Stochastic 50 level
▸ Upper Band = Stochastic Overbought Threshold
▸ Lower Band = Stochastic Oversold Threshold
When the price moves above the midline → it’s the same as the oscillator moving above 50
When the price breaks above the upper band → it’s the same as Stochastic entering overbought.
When the price reaches the lower band →, think of it like Stochastic being oversold.
This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart.
█ How It Works
The indicator layers 3 distinct technical elements into one clean view:
⚪ Stochastic Momentum Engine
Tracks overbought/oversold conditions and directional strength using:
%K Line → Momentum of price
%D Line → Smoothing filter of %K
Overbought/Oversold Bands → Highlight potential reversal zones
⚪ Volatility Adaptive Bands
Dynamic bands plotted above and below price using:
ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions
Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable)
This means:
→ In strong trends: Bands expand
→ In consolidations: Bands contract
⚪ Regression Channel
Projects trend direction with different models:
Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks)
Linear → Classic regression fit
Adaptive → Dynamically adjusts sensitivity
Leading → Projects trend further ahead (aggressive mode)
Channels include:
Midline → Fair value trend
Upper/Lower Bounds → Deviation-based support/resistance
⚪ Heatmap - Bull & Bear Power Strength
Visual heatmeter showing:
% dominance of bulls vs bears (based on close > or < Band Basis)
Automatic normalization regardless of timeframe
Table display on-chart for quick visual insight
Dynamic highlighting when extreme levels are reached
⚪ Trend Candlestick Coloring
Bars auto-color based on trend filter:
Above Basis → Bullish Color
Below Basis → Bearish Color
█ How to Use
⚪ Trend Trading
→ Use Band direction + Regression Channel to identify trend alignment
→ Longs favored when price holds above the Basis
→ Shorts favored when price stays below the Basis
→ Use the Bull & Bear heatmap to asses if the bulls or the bears are in control.
⚪ Mean Reversion
→ Look for price to interact with Upper or Lower Band extremes
→ Stochastic reaching OB/OS zones further supports reversals
⚪ Momentum Confirmation
→ Crossovers between %K and %D can confirm continuation or divergence signals
→ Especially powerful when happening at band boundaries
⚪ Strength Heatmap
→ Quickly visualize current buyer vs seller control
→ Sharp spikes in Bull Power = Aggressive buying
→ Sharp spikes in Bear Power = Heavy selling pressure
█ Why It Useful
This is not a typical Stochastic or regression tool. The tool is designed for traders who want to:
React dynamically to price volatility
Map momentum into volatility context
Use adaptive regression channels across trend styles
Visualize bull vs bear power in real-time
Follow trends with built-in reversal logic
█ Settings
Stochastic Settings
Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals.
%K Smoothing → Smooths the Stochastic line itself.
%D Smoothing → Smooths the moving average of %K for slower signals.
Stochastic Band
Band Length → Length of the Moving Average Basis.
Volatility Multiplier → Controls band width via ATR scaling.
Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA).
Regression Channel
Regression Type → Logarithmic / Linear / Adaptive / Leading.
Regression Length → Number of bars for regression calculation.
Heatmap Settings
Heatmap Length → Number of bars to calculate bull/bear dominance.
-----------------
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.
TP RSITP RSI - Integrated Trend, Momentum, and Volatility Analyzer
The TP RSI indicator is an innovative 3-in-1 technical analysis tool that combines RSI, Bollinger Bands, and an EMA ribbon to provide traders with a comprehensive view of trend, momentum, and volatility in a single, easy-to-interpret visual display.
Why This Combination? This mashup addresses three critical aspects of market analysis simultaneously:
Trend identification and strength (EMA ribbon)
Momentum measurement (RSI)
Volatility assessment (Bollinger Bands)
By integrating these components, traders can make more informed decisions based on multiple factors without switching between different indicators.
How Components Work Together:
1. EMA Ribbon (Trend):
10 EMAs form 5 color-coded bands
Blue: Uptrend, Red: Downtrend
Provides a nuanced view of trend strength and potential reversals
2. RSI (Momentum):
Color-coded for quick interpretation
Blue: Upward momentum, Red: Downward momentum, White: Neutral
Position relative to the ribbon offers additional insight
3. Bollinger Bands (Volatility):
Applied to RSI for dynamic overbought/oversold levels
Narrow bands indicate low volatility, suggesting potential breakouts
Unique Aspects and Originality:
Synergistic visual cues: Color coordination between ribbon and RSI
Multi-factor confirmation: Requires alignment of trend, momentum, and volatility for strong signals
Volatility-adjusted momentum: RSI interpreted within the context of Bollinger Bands
How these components work together:
Buy Signal: Blue ribbon with blue RSI outside the ribbon.
Sell Signal: Red ribbon with red RSI outside the ribbon.
Neutral: White RSI or RSI inside the ribbon (not recommended for trading)
Increasing Momentum: RSI crossing above upper Bollinger Band (upward) or below lower Band (downward).
Trend Strength: RSI rejection by the ribbon, while all bands are colored along with the trend direction, identifies a strong trend.
Johnny's Adjusted BB Buy/Sell Signal"Johnny's Adjusted BB Buy/Sell Signal" leverages Bollinger Bands and moving averages to provide dynamic buy and sell signals based on market conditions. This indicator is particularly useful for traders looking to identify strategic entry and exit points based on volatility and trend analysis.
How It Works
Bollinger Bands Setup: The indicator calculates Bollinger Bands using a specified length and multiplier. These bands serve to identify potential overbought (upper band) or oversold (lower band) conditions.
Moving Averages: Two moving averages are calculated — a trend moving average (trendMA) and a long-term moving average (longTermMA) — to gauge the market's direction over different time frames.
Market Phase Determination: The script classifies the market into bullish or bearish phases based on the relationship of the closing price to the long-term moving average.
Strong Buy and Sell Signals: Enhanced signals are generated based on how significantly the price deviates from the Bollinger Bands, coupled with the average candle size over a specified lookback period. The signals are adjusted based on whether the market is bullish or bearish:
In bullish markets, a strong buy signal is triggered if the price significantly drops below the lower Bollinger Band. Conversely, a strong sell signal is activated when the price rises well above the upper band.
In bearish markets, these signals are modified to be more conservative, adjusting the thresholds for triggering strong buy and sell signals.
Features:
Flexibility: Users can adjust the length of the Bollinger Bands and moving averages, as well as the multipliers and factors that determine the strength of buy and sell signals, making it highly customizable to different trading styles and market conditions.
Visual Aids: The script vividly plots the Bollinger Bands and moving averages, and signals are visually represented on the chart, allowing traders to quickly assess trading opportunities:
Regular buy and sell signals are indicated by simple shapes below or above price bars.
Strong buy and sell signals are highlighted with distinctive colors and placed prominently to catch the trader's attention.
Background Coloring: The background color changes based on the market phase, providing an immediate visual cue of the market's overall sentiment.
Usage:
This indicator is ideal for traders who rely on technical analysis to guide their trading decisions. By integrating both Bollinger Bands and moving averages, it provides a multi-faceted view of market trends and volatility, making it suitable for identifying potential reversals and continuation patterns. Traders can use this tool to enhance their understanding of market dynamics and refine their trading strategies accordingly.
Bollinger OTT SpreadBollinger OTT Spread (BOOTS) is a development combining Bollinger Bands with Optimized Trend Tracker (OTT) Indicator by Anıl Özekşi.
Bollinger Bands have originally 3 lines: Simple Moving Average (Middle Line), Upper Band and Lower Band.
BOOTS concentrates on the upper and lower Bollinger band lines.
First, it calculates the OTT using the UPPER and LOWER Bollinger Bands in a period of time (default lengths are 2) instead of closing prices.
After that, Upper and lower bands have more constant values.
There are 2 lines in BOOTS:
-The top (cyan) line is originally an OTT of the Upper Bollinger Band. (BOOTShigh)
-The bottom line (purple) is also an OTT line but conversely uses Lower Bollinger Band in the same period. (BOOTSlow)
Default values:
Bollinger Bands Moving AveragePeriod: 2 Bars
OTT Length: 2 Bars
OTT Optimizing coefficient (percent): %10
Bollinger Bands Standart Deviation Multiplier: 2 (not adjustable)
These values are designed for daily time frame, so they have to be optimized in other timeframes by the user. (Ex: Higher values can be considered in lower time frames)
Originally, Bollinger Bands used a Simple Moving Average in their calculation, but this time, Anıl Özekşi prefers VIDYA (Variable Dynamic Moving Average = VAR) instead of a Simple Moving Average.
Bollinger Bands cannot create significant BUY & SELL signals considering their original logic, but the primary purpose of BOOTS is to have substantial trading signals:
BUY when the price crosses above the BOOTSLower line (purple line)
STOP when the price crosses back below the BOOTSLower line (purple line)
SELL when the price crosses below the BOOTSUpper line (cyan line)
STOP when the price crosses back above the BOOTSUpper line (cyan line)
The price zone between the two lines is the flat zone; traders don't consider taking new positions in that area between the two lines.
Developer Anıl Özekşi advises that traders may have more accurate signals when using a short-period moving average instead of closing prices. So, I added a moving average with the same default length of 2 , which was used in Bollinger Bands calculation. You can check the "SHOW MOVING AVERAGE?" box on the settings tab of the indicator.
MoonFlag BTC Daily Swing PredictorThis script mainly works on BTC on the daily timeframe. Other coins also show similar usefulness with this script however, BTC on the daily timeframe is the main design for this script.
(Please note this is not trading advice this is just comments about how this indicator works.)
This script is predictive. It colors the background yellow when the script calculates a large BTC swing is potentially about to happen. It does not predict in which direction the swing will occur but it leads the price action so can be useful for leveraged trades. When the background gets colored with vertical yellow lines - this shows that a largish price swing is probably going to occur.
The scripts also shades bands around the price action that are used to estimate an acceptable volatility at any given time. If the bands are wide that means price action is volatile and large swings are not easily predicted. Over time, with reducing volatility, these price action bands narrow and then at a set point or percentage (%) which can be set in the script settings, the background gets colored yellow. This indicates present price action is not volatile and a large price swing is potentially going to happen in the near future. When price action breaks through the narrowing bands, the background is no longer presented because this is seen as an increase in volatility and a considerable portion of the time, a large sudden drop in price action or momentous gain in price is realized.
This indicator leads price action. It predicts that a swing is possibly going to happen in the near future. As the indicator works on the BTC daily, this means on a day-to-day basis if the bands continually narrow - a breakout is more likely to happen. In order to see how well this indicator works, have a look at the results on the screenshot provided. Note the regions where vertical yellow lines are present on the price action - and then look after these to see if a sizeable swing in price has occurred.
To use this indicator - wait until yellow vertical lines are presented on the BTC daily. Then use your experience to determine which way the price action might swing and consider entering a trade or leveraged trade in this direction. Alternatively wait a while to see in which direction the break-out occurs and considering and attempt to trade with this. Sometimes swings can be unexpected and breakout in one direction before then swinging much larger in the other. Its important to remember/consider that this indicator works on the BTC daily timeframe, so any consideration of entering a trade should be expected to cover a duration over many days or weeks, or possibly months. A large swing is only estimated every several plus months.
Most indicators are based on moving averages. A moving average is not predictive in the sense in that it lags price actions. This indicator creates bands that are based on the momentum of the price action. A change in momentum of price action therefore causes the bands to widen. When the bands narrow this means that the momentum of the price action is steady and price action volatility has converged/reduced over time. With BTC this generally means that a large swing in price action is going to occur as momentum in price action then pick-up again in one direction or another. Trying to view this using moving averages is not easy as a moving average lags price action which means that it is difficult to predict any sudden movements in price action ahead of when they might occur. Although, moving averages will converge over time in a similar manner as the bands calculated by this script. This script however, uses the price action momentum in a predictive manner to estimate where the price action might go based on present price momentum. This script therefore reacts to reduced volatility in price action much faster than a set of moving averages over various timescales can achieve.
MoonFlag
Scalp Tool
This script is primarily intended as a scalping tool.
The theory of the tool is based on the fact that the price always returns to its mean.
Elements used:
1. VWMA as a moving average. VWMA is calculated once based on source close and once based on source open.
2. the bands are not calculated like the Bollinger Band, but only a settlement is calculated for the lower bands based on the Lows and for the upper bands based on the Highs. Thus the bands do not become thicker or thinner, but remain in the same measure to the mean value above or below the price.
3. a volume filter on simple calculation of a MA with deviation. Therefore, it can be identified if a volume breakout has occurred.
4. support and resistance zones which are calculated based on the highs and lows over a certain length.
5. RSI to determine oversold and overbought zones. It also tries to capture the momentum by using a moving average (variable selectable) to filter the signals. The theory is that in an uptrend the RSI does not go below 50 and in a downtrend it does not go above 50.
However, this can be very different depending on the financial instrument.
Explanation of the signals:
The main signal in this indicator Serves for pure short-term trading and is generated purely on the basis of the bands and the RSI.
Only the first bands are taken into account.
Buy signal is generated when the price opens below the lower band 1 and closes above the lower band 1 or the RSI crosses a value of 25 from bottom to top.
Sell signal is generated when the price opens above the Upper Band 1 and closes below the Upper Band 1 or the RSI crosses a value of 75 from top to bottom.
The position should be closed when the price hits the opposite band. Alternatively, it can also be closed at the mean.
Other side signals:
1. breakouts:
The indicator includes 2 support and resistance zones, which differ only in length. For the breakout signals, the short version of the R/S is used. A signal is generated when the price breaks through the zones with increased volume. It is then assumed that the price will continue to follow the breakout.
The values of the S/R are adjustable and marked with "BK".
The value under Threshold 2 defines the volume breakout. 4 is considered as the highest value. The smaller the value, the smaller the volume must be during a breakout.
2. bounce
If the price hits a S/R (here the long variant is used with the designation "Support" or "Resistance") and makes a wick with small volume, the script assumes a bounce and generates a Sell or Buy signal accordingly.
The volume can be defined under "Threshold".
The S/R according to the designation as well.
Combined signals:
If the value of the S/R BK and the S/R is the same and the bounce logic of the S/R BK applies and an RSI signal is also generated, a signal is also plotted.
Here the idea was to get very strong signals for possible swing entries.
4. RSI Signals
The script contains two RSI.
RSI 1:
Bullish signal is generated when the set value is crossed from the bottom to the top.
Bearish signal is generated when the set value is crossed from the top to the bottom.
RSI 2:
Bullish signal is generated when the set value is crossed from the top to the bottom.
Bearish signal is generated when the set value is crossed from bottom to top.
For RSI 2 the theory is taken into account according to the description under Used elements point 5
Optical trend filter:
Also an optical trend filter was generated which fills the bands accordingly.
For this the VWMA is used and the two average values of the band.
Color definition:
Gray = Neutral
Red = Bearish
Green = Bullish
If the mean value is above the VWMA and the mean value based on the closing price is above the mean value based on the open price, the band is colored green. It is a bullish trend
If the mean value is below the VWMA and the mean value based on the closing price is below the mean value based on the open price, the band is colored red.
The band is colored gray if the mean value is correspondingly opposite. A sideways phase is assumed.
The script was developed on the basis of the pair BTCUSD in the 15 minute chart and the settings were defined accordingly on it. The display of S/R for forex pairs does not work correctly and should be hidden. The logic works anyway.
When using the script, all options should first be set accordingly to the asset and tested before trading afterwards. It applies of course also here that there is no 100% guarantee.
Also, a strong breakout leads to false signals and overheating of the indicator.
Ultimate Trend ChannelThe "Ultimate Trend Channel" indicator is a comprehensive trend analysis tool that calculates and displays a series of upper and lower bands based on user-defined input lengths. It uses linear regression and standard deviation to determine these bands for each of the 21 different group lengths. The indicator then computes the averages of these upper and lower bands, as well as the average of all the bands combined.
The visualization on the chart includes the plotting of the average upper and lower bands, with the space between these bands shaded for easy visualization of the overall trend. Additionally, the average of all the bands, referred to as the "Ultimate Trend Line," is also plotted on the chart.
This indicator provides a robust way of assessing market trends and volatility over varying periods, which can be extremely useful for both short-term and long-term trading strategies.
EMA Percentile Rank [SS]Hello!
Excited to release my EMA percentile Rank indicator!
What this indicator does
Plots an EMA and colors it by short-term trend.
When price crosses the EMA (up or down) and remains on that side for three subsequent bars, the cross is “confirmed.”
At the moment of the most recent cross, it anchors a reference price to the crossover point to ensure static price targets.
It measures the historical distance between price and the EMA over a lookback window, separately for bars above and below the EMA.
It computes percentile distances (25%, 50%, 85%, 95%, 99%) and draws target bands above/below the anchor.
Essentially what this indicator does, is it converts the raw “distance from EMA” behavior into probabilistic bands and historical hit rates you can use for targets, stop placement, or mean-reversion/continuation decisions.
Indicator Inputs
EMA length: Default is 21 but you can use any EMA you prefer.
Lookback: Default window is 500, this is length that the percentiles are calculated. You can increase or decrease it according to your preference and performance.
Show Accumulation Table: This allows you to see the table that shows the hits/price accumulation of each of the percentile ranges. UCL means upper confidence and LCL means lower confidence (so upper and lower targets).
About Percentiles
A percentile is a way of expressing the position of a value within a dataset relative to all the other values.
It tells you what percentage of the data points fall at or below that value.
For example:
The 25th percentile means 25% of the values are less than or equal to it.
The 50th percentile (also called the median) means half the values are below it and half are above.
The 99th percentile means only 1% of the values are higher.
Percentiles are useful because they turn raw measurements into context — showing how “extreme” or “typical” a value is compared to historical behavior.
In the EMA Percentile Rank indicator, this concept is applied to the distance between price and the EMA. By calculating percentile distances, the script can mark levels that have historically been reached often (low percentiles) or rarely (high percentiles), helping traders gauge whether current price action is stretched or within normal bounds.
Use Cases
The EMA Percentile Rank indicator is best suited for traders who want to quantify how far price has historically moved away from its EMA and use that context to guide decision-making.
One strong use case is target setting after trend shifts: when a confirmed crossover occurs, the percentile bands (25%, 50%, 85%, 95%, 99%) provide statistically grounded levels for scaling out profits or placing stops, based on how often price has historically reached those distances. This makes it valuable for traders who prefer data-driven risk/reward planning instead of arbitrary point targets. Another use case is identifying stretched conditions — if price rapidly tags the 95% or 99% band after a cross, that’s an unusually large move relative to history, which could signal exhaustion and prompt mean-reversion trades or protective actions.
Conversely, if the accumulation table shows price frequently resides in upper bands after bullish crosses, traders may anticipate continuation and hold positions longer . The indicator is also effective as a trend filter when combined with its EMA color-coding : only taking trades in the trend’s direction and using the bands as dynamic profit zones.
Additionally, it can support multi-timeframe confluence (if you align your chart to the timeframes of interest), where higher-timeframe trend direction aligns with lower-timeframe percentile behavior for higher-probability setups. Swing traders can use it to frame pullbacks — entering near lower percentile bands during an uptrend — while intraday traders might use it to fade extremes or ride breakouts past the median band. Because the anchor price resets only on EMA crosses, the indicator preserves a consistent reference for ongoing trades, which is especially helpful for managing swing positions through noise .
Overall, its strength lies in transforming raw EMA distance data into actionable, probability-weighted levels that adapt to the instrument’s own volatility and tendencies .
Summary
This indicator transforms a simple EMA into a distribution-aware framework: it learns how far price tends to travel relative to the EMA on either side, and turns those excursions into percentile bands and historical hit rates anchored to the most recent cross. That makes it a flexible tool for targets, stops, and regime filtering, and a transparent way to reason about “how stretched is stretched?”—with context from your chosen market and timeframe.
I hope you all enjoy!
And as always, safe trades!
Bollinger Volatility AnalyzerThe Bollinger Volatility Analyzer (BVA) is a powerful enhancement of the traditional Bollinger Bands indicator, tailored to help traders identify volatility cycles and catch potential breakouts with better precision and timing. It builds upon the foundational concept of Bollinger Bands—using a moving average and standard deviation bands—but adds crucial insights into market contraction and expansion, which can be instrumental in timing entries and exits.
Here's how it works and why it's useful
At its core, the indicator calculates a moving average (called the "basis") and plots two bands—one above and one below—based on a multiple of standard deviation. These bands expand during volatile periods and contract during quiet ones. The width between these bands, normalized as a percentage of the basis, gives us a sense of how compressed or expanded the market currently is. When the band width drops below a user-defined threshold (like 2%), the script highlights this with an orange triangle below the bar. This is the "squeeze" condition, signaling a potential buildup of market energy—a kind of calm before the storm.
What makes this version of Bollinger Bands particularly powerful is that it not only detects squeezes, but also tells you when price breaks out of that squeeze range. If price closes above the upper band after a squeeze, a green "Breakout ↑" label is shown; if it closes below the lower band, a red "Breakout ↓" appears. These breakout labels act as entry signals, suggesting that volatility is returning and a directional move has begun.
This indicator is especially useful in markets that tend to alternate between consolidation and breakout phases, such as forex, crypto, and even individual stocks. Traders who look for early signs of momentum—whether for swing trading, scalping, or position building—can benefit from this tool. During a quiet market phase, the indicator warns you that a move might be coming; when the move starts, it tells you the direction.
In fast-moving markets, BVA helps filter out noise by focusing only on high-probability conditions: quiet consolidation followed by a strong breakout. It’s not a complete system by itself—it works best when paired with volume confirmation or oscillators like RSI—but as a volatility trigger and directional guide, it’s a reliable component of a trading workflow.
Enhanced Kaufman Adaptive Moving Average (KAMA) with Bollinger B# Enhanced Kaufman Adaptive Moving Average (KAMA) with Bollinger Bands
## Overview
This indicator combines the Kaufman Adaptive Moving Average (KAMA) with Bollinger Bands to create a comprehensive trading system. It provides adaptive trend following capabilities while measuring market volatility and potential reversal points.
## Key Features
- Adaptive moving average that adjusts to market conditions
- Dynamic Bollinger Bands for volatility measurement
- Color-coded KAMA line indicating trend direction
- Integrated buy/sell signals based on multiple confirmations
- Customizable parameters for both KAMA and Bollinger Bands
- Optional bar confirmation wait feature
- Built-in alert conditions for trade signals
## Main Components
### 1. Kaufman Adaptive Moving Average (KAMA)
- Adapts to market volatility using an efficiency ratio
- Changes color based on trend direction (green for uptrend, red for downtrend)
- Adjustable parameters for fine-tuning:
- Base Length: Controls the main calculation period (default: 10)
- Fast EMA Length: For rapid market response (default: 2)
- Slow EMA Length: For stable market conditions (default: 30)
### 2. Bollinger Bands
- Standard deviation-based volatility bands
- Customizable length and standard deviation multiplier
- Includes expansion threshold for volatility measurement
- Components:
- Upper Band: Upper volatility threshold
- Middle Band: Simple moving average
- Lower Band: Lower volatility threshold
## Signal Generation
### Buy Signals
Generated when:
1. KAMA color changes from red to green
2. Price closes above KAMA
3. Price closes above the middle Bollinger Band
4. Signals are marked with:
- Green triangles below the candles
- "B" labels for easy identification
### Sell Signals
Generated when:
1. KAMA color changes from green to red
2. Price closes below KAMA
3. Price closes below the middle Bollinger Band
4. Signals are marked with:
- Red triangles above the candles
- "S" labels for easy identification
## Customizable Parameters
### KAMA Settings
- Base Length (1-50)
- Fast EMA Length (1-10)
- Slow EMA Length (10-50)
- Source Price Selection
- Direction Highlight Toggle
- Bar Confirmation Option
### Bollinger Bands Settings
- Length (default: 20)
- Standard Deviation Multiplier (default: 2.0)
- Expansion Threshold (0.1-3.0)
## Alert Functionality
Built-in alerts for:
- Buy signals with customizable messages
- Sell signals with customizable messages
## Best Practices
### Timeframe Selection
- Works well on multiple timeframes
- Recommended for 15m to 4h charts for optimal signal generation
- Higher timeframes provide more reliable trend signals
### Parameter Optimization
- Adjust KAMA lengths based on trading style:
- Shorter lengths for day trading
- Longer lengths for swing trading
- Fine-tune BB multiplier based on market volatility
- Consider waiting for bar confirmation in volatile markets
### Risk Management
- Use in conjunction with other indicators for confirmation
- Consider market conditions and volatility when trading signals
- Implement proper position sizing and stop-loss levels
## Technical Notes
- Written in Pine Script™ v6
- Overlay indicator (displays on price chart)
- Compatible with all TradingView-supported markets
- Resource-efficient implementation for smooth performance
## Disclaimer
This indicator is provided under the Mozilla Public License 2.0. While it can be a valuable tool for technical analysis, it should not be used as the sole basis for trading decisions. Always combine with proper risk management and additional analysis methods.
Volatility Trend (Zeiierman)█ Overview
The Volatility Trend (Zeiierman) is an indicator designed to help traders identify and analyze market trends based on price volatility. By calculating a dynamic trend line and volatility-adjusted bands, the indicator provides visual cues to understand the current market direction, potential reversal points and volatility.
█ How It Works
The indicator uses a weighted moving average of historical prices to create a responsive trend line that is adjusted for volatility using standard deviation. The indicator sets upper and lower bands at intervals of two standard deviations, acting as markers for potential overbought or oversold conditions. Additionally, by comparing current and previous trend line values, the indicator identifies the trend direction, providing crucial insights for traders.
█ How to Use
Trend Identification
Use the trend line to identify the overall market direction. An upward-sloping line indicates an uptrend, while a downward-sloping line indicates a downtrend.
Volatility Assessment
Use the distance between the upper and lower bands to gauge market volatility. Wider bands indicate higher volatility, while narrower bands indicate lower volatility.
Overbought/Oversold
If the price reaches or exceeds the upper or lower bands, it may be in an overbought or oversold condition, respectively.
█ Settings
Trend Control: Adjusts the sensitivity and smoothness of the trend line. Lower values make the trend more responsive, while higher values make it smoother.
Trend Dynamic: Controls how quickly the trend adjusts to price changes. Higher values result in a slower adjustment.
Volatility: Consists of two parts - the scaling factor for volatility and the sensitivity for volatility adjustment. Adjusting these settings alters the distance between the trend lines and the price, as well as how sensitive the bands are to changes in volatility.
Squeeze Control: Influences the degree to which market squeeze is considered in the calculation, with higher values increasing sensitivity.
Enable Scalping Trend: A toggle that, when activated, makes the indicator focus on short-term trends, which is particularly useful for scalping strategies.
█ Related scripts with the same calculation philosophy
TrendCylinder
TrendSphere
Predictive Trend and Structure
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. 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.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Flying Dragon Trend IndicatorFlying Dragon Trend Indicator can be used to indicate the trend on all timeframes by finetuning the input settings.
The Flying Dragon Trend family includes both the strategy and the indicator, where the strategy supports of selecting the optimal set of inputs for the indicator in each scenario. Highly recommended to get familiar with the strategy first to get the best out of the indicator.
Flying Dragon Trend plots the trend bands into the ribbon, where the colours indicate the trend of each band. The plotting of the bands can be turned off in the input settings. Based on the user selectable Risk Level the trend pivot indicator is shown for the possible trend pivot when the price crosses the certain moving average line, or at the Lowest risk level all the bands have the same colour. The trend pivot indicator is not shown on the Lowest risk level, but the colour of the trend bands is the indicator instead .
The main idea is to combine two different moving averages to cross each other at the possible trend pivot point, but trying to avoid any short term bounces to affect the trend indication. The ingenuity resides in the combination of selected moving average types, lengths and especially the offsets. The trend bands give visual hint for the user while observing the price interaction with the bands, one could say that when "the Dragon swallows the candles the jaws wide open", then there is high possibility for the pivot. The leading moving average should be fast while the lagging moving average should be, well, lagging behind the leading one. There is Offset selections for each moving average, three for leading one and one for the lagging one, those are where the magic happens. After user has selected preferred moving average types and lengths, by tuning each offset the optimal sweet spot for each timeframe and equity will be found. The default values are good enough starting points for longer (4h and up) timeframes, but shorter timeframes (minutes to hours) require different combination of settings, some hints are provided in tooltips. Basically the slower the "leading" moving average (like HMA75 or HMA115) and quicker the "lagging" moving average (like SMA12 or SMA5) become, the better performance at the Lowest risk level on minute scales. This "reversed" approach at the minute scales is shown also as reversed colour for the "lagging" moving average trend band, which seems to make it work surprisingly well.
The Flying Dragon Trend does not necessarily work well on zig zag and range bounce scenarios without additional finetuning of the input settings to fit the current condition.
Waves of Wealth Pair Trading RatioThis versatile indicator dynamically plots the ratio between two user-selected instruments, helping traders visualize relative performance and detect potential mean-reversion or trend continuation opportunities.
Features include:
User inputs for selecting any two instrument symbols for comparison.
Adjustable moving average period to track the average ratio over time.
Customizable standard deviation multiplier to define statistical bands for overbought and oversold conditions.
Visual display of the ratio line alongside upper and lower bands for clear trading signals.
Ideal for pair traders and market analysts seeking a flexible tool to monitor inter-asset relationships and exploit deviations from historical norms.
Simply set your preferred symbols and parameters to tailor the indicator to your trading style and assets of interest.
How to Use the Custom Pair Trading Ratio Indicator
Select symbols: Use the indicator inputs to set any two instruments you want to compare—stocks, commodities, ETFs, or indices. No coding needed, just type or select from the dropdown.
Adjust parameters: Customize the moving average length to suit your trading timeframe and style. The standard deviation multiplier lets you control sensitivity—higher values mean wider bands, capturing only larger deviations.
Interpret the chart:
The ratio line shows relative strength between the two instruments.
The middle line represents the average ratio (mean).
The upper and lower bands indicate statistical extremes where price action is usually overextended.
Trading signals:
Look to enter pair trades when the ratio moves outside the bands—expecting a return to the mean.
Use the bands and mean to set stop-loss and profit targets.
Combine with other analysis or fundamental insight for best results.
IU Market Rhythm WaveDESCRIPTION:
The IU Market Rhythm Wave is a multi-dimensional indicator designed to reveal the underlying rhythm and energy of the market. By analyzing price momentum, harmonic oscillations, volume behavior, and market breadth, it helps traders identify high-quality long and short wave signals. It also visualizes rhythm bands, wave strength zones, and harmonic levels to provide comprehensive context for decision-making.
This tool is best used on trending instruments where rhythm cycles and volume patterns create clear wave-based opportunities.
USER INPUTS:
Rhythm Cycle Length
Controls the main lookback period used to calculate price waves, harmonic oscillation, volume rhythm, and breath. A longer cycle smooths signals, while a shorter cycle makes them more responsive. Recommended range: 8 to 35.
Wave Signal Strength
Multiplies the standard deviation of rhythm to define dynamic breakout thresholds. A higher value results in fewer but stronger signals, filtering out minor fluctuations.
Harmonic Filter
Applies a sensitivity filter to the harmonic mean and standard deviation. It helps eliminate weak or noisy signals and ensures rhythm-based signals align with harmonic structure.
Show Wave Energy Zones
Toggles background color shading based on current rhythm conditions. Greenish zones indicate strong upward rhythm, red for strong downward rhythm, yellow for positive bias, and gray for weak or neutral zones.
Show Rhythm Bands
Enables the display of upper and lower rhythm bands derived from ATR and rhythm volatility. These bands act as dynamic price envelopes and potential support/resistance zones.
Wave Zone Opacity
Adjusts the transparency of background energy zones, allowing users to control how prominent these zones appear on the chart. Range: 60 to 90 for optimal visibility.
INDICATOR LOGIC:
The indicator combines multiple rhythmic components into a composite rhythm score:
1. Price Wave – Based on momentum (rate of price change) smoothed by a moving average.
2. Harmonic Oscillation – Measures how far price has deviated from a central harmonic average (HLC3).
3. Volume Rhythm – Uses volume’s deviation from its mean, standardized by its volatility.
4. Market Breath – Captures range expansion and closing strength relative to range.
These elements form the Raw Rhythm, which is further smoothed to produce the Market Rhythm. When the rhythm exceeds statistically calculated thresholds and other conditions like volume confirmation and harmonic proximity are met, wave signals are triggered.
Harmonic Fibonacci levels (0.236, 0.382, 0.618, 0.764) are also calculated every rhythm cycle to identify nearby structural price zones. Signals occurring near these levels are considered more reliable.
The Rhythm Bands use ATR and rhythm strength to define dynamic boundaries above and below price. Visual zones and arrows mark rhythm shifts and highlight the underlying energy of the market.
WHY IT IS UNIQUE:
This indicator goes beyond traditional oscillators or volume indicators by blending multiple market dimensions into one rhythmic framework. It adapts to volatility, applies harmonic structure awareness, and filters signals based on real-time market conditions. It offers:
* A unique rhythm-based view of price, volume, and volatility
* Dynamic, adaptive signal generation and zone coloring
* Visual analytics and contextual data in a summary table
* Signal filtering using harmonic alignment and market breath
Its real-time responsiveness and multi-layered logic make it suitable for intraday, swing, and positional traders.
HOW USER CAN BENEFIT FROM IT:
* Spot high-conviction long or short entries when rhythm, volume, and structure align
* Avoid low-quality trades during weak or noisy rhythm periods
* Use visual wave zones to gauge trend strength and rhythm direction
* Monitor harmonic proximity to enter or exit near key structural levels
* Apply rhythm bands for dynamic stop-loss and target setting
* Use rhythm direction arrows and analytics table to gain deeper market insight
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Adaptive Trend Flow [QuantAlgo]Adaptive Trend Flow 📈🌊
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical indicator that harnesses the power of volatility-adjusted EMAs to navigate market trends with precision. By seamlessly integrating a dynamic dual-EMA system with adaptive volatility bands, this premium tool enables traders and investors to identify and capitalize on sustained market moves while effectively filtering out noise. The indicator's unique approach to trend detection combines classical technical analysis with modern adaptive techniques, providing traders and investors with clear, actionable signals across various market conditions and asset class.
💫 Indicator Architecture
The Adaptive Trend Flow provides a sophisticated framework for assessing market trends through a harmonious blend of EMA dynamics and volatility-based boundary calculations. Unlike traditional moving average systems that use fixed parameters, this indicator incorporates smart volatility measurements to automatically adjust its sensitivity to market conditions. The core algorithm employs a dual EMA system combined with standard deviation-based volatility bands, creating a self-adjusting mechanism that expands and contracts based on market volatility. This adaptive approach allows the indicator to maintain its effectiveness across different market phases - from ranging to trending conditions. The volatility-adjusted bands act as dynamic support and resistance levels, while the gradient visualization system provides instant visual feedback on trend strength and duration.
📊 Technical Composition and Calculation
The Adaptive Trend Flow is composed of several technical components that create a dynamic trending system:
Dual EMA System: Utilizes fast and slow EMAs for primary trend detection
Volatility Integration: Computes and smooths volatility for adaptive band calculation
Dynamic Band Generation: Creates volatility-adjusted boundaries for trend validation
Gradient Visualization: Provides progressive visual feedback on trend strength
📈 Key Indicators and Features
The Adaptive Trend Flow utilizes customizable length parameters for both EMAs and volatility calculations to adapt to different trading styles. The trend detection component evaluates price action relative to the dynamic bands to validate signals and identify potential reversals.
The indicator incorporates multi-layered visualization with:
Color-coded basis and trend lines (bullish/bearish)
Adaptive volatility-based bands
Progressive gradient background for trend duration
Clear trend reversal signals (𝑳/𝑺)
Smooth fills between key levels
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trends: Watch the basis line and trend band interactions to identify trend direction and strength. The gradient background intensity indicates trend duration and conviction.
🎯 Track Signals: Pay attention to the trend reversal markers that appear on the chart:
→ Long signals (𝑳) appear when price action confirms a bullish trend reversal
→ Short signals (𝑺) indicate validated bearish trend reversals
🔔 Set Alerts: Configure alerts for trend changes in both bullish and bearish directions, ensuring you never miss significant technical developments.
🌟 Summary and Tips
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical tool designed to support trend-following strategies across different market environments and asset class. By combining dual EMA analysis with volatility-adjusted bands, it helps traders and investors identify significant trend changes while filtering out market noise, providing validated signals. The tool's adaptability through customizable EMA lengths, volatility smoothing, and sensitivity settings makes it suitable for various trading timeframes and styles, allowing users to capture trending opportunities while maintaining protection against false signals.
Key parameters to optimize for your trading and/or investing style:
Main Length: Adjust for more or less sensitivity to trend changes (default: 10)
Smoothing Length: Fine-tune volatility calculations for signal stability (default: 14)
Sensitivity: Balance band width for trend validation (default: 2.0)
Visual Settings: Customize appearance with color and display options
The Adaptive Trend Flow is particularly effective for:
Identifying sustained market trends
Detecting trend reversals with confirmation
Measuring trend strength and duration
Filtering out market noise and false signals
Remember to:
Allow the indicator to validate trend changes before taking action
Use the gradient background to gauge trend strength
Combine with volume analysis for additional confirmation
Consider multiple timeframes for a complete market view
Adjust sensitivity based on market volatility conditions
EMA Volatility Channel [QuantAlgo]EMA Volatility Channel 🌊📈
The EMA Volatility Channel by QuantAlgo is an advanced technical indicator designed to capture price volatility and trend dynamics through adaptive channels based on exponential moving averages. This sophisticated system combines EMA-based trend analysis with dynamic volatility-adjusted bands to help traders and investors identify trend direction, potential reversals, and market volatility conditions. By evaluating both price momentum and volatility together, this tool enables users to make informed trading decisions while adapting to changing market conditions.
💫 Dynamic Channel Architecture
The EMA Volatility Channel provides a unique framework for assessing market trends through a blend of exponential moving averages and volatility-based channel calculations. Unlike traditional channel indicators that use fixed-width bands, this system incorporates dynamic volatility measurements to adjust channel width automatically, helping users determine whether price movements are significant relative to current market conditions. By combining smooth EMA trends with adaptive volatility bands, it evaluates both directional movement and market volatility, while the smoothing parameters ensure stable yet responsive channel adjustments. This adaptive approach allows users to identify trending conditions while remaining aware of volatility expansions and contractions, enhancing both trend-following and reversal strategies.
📊 Indicator Components & Mechanics
The EMA Volatility Channel is composed of several technical components that create a dynamic channel system:
EMA Midline: Calculates a smoothed exponential moving average that serves as the channel's centerline, providing a clear reference for trend direction.
Volatility Measurement: Computes average price movement to determine dynamic channel width, adapting to changing market conditions automatically.
Smooth Band Calculation: Applies additional smoothing to the channel bands, reducing noise while maintaining responsiveness to significant price movements.
📈 Key Indicators and Features
The EMA Volatility Channel combines various technical tools to deliver a comprehensive analysis of market conditions.
The indicator utilizes exponential moving averages with customizable length and smoothing parameters to adapt to different trading styles. Volatility calculations are applied to determine channel width, providing context-aware boundaries for price movement. The trend detection component evaluates price action relative to the channel bands, helping validate trends and identify potential reversals.
The indicator incorporates multi-layered visualization with color-coded channels and bars to signal both trend direction and market position. These adaptive visual cues, combined with programmable alerts for channel breakouts, help traders and investors track both trend changes and volatility conditions, supporting both trend-following and mean-reversion strategies.
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Channel Position: Watch the price position relative to the channel bands to identify trend direction and potential reversals. When price moves outside the channel, consider potential trend changes or extreme conditions.
🔔 Set Alerts: Configure alerts for channel breakouts and trend changes, ensuring you can act on significant technical developments promptly.
🌟 Summary and Tips
The EMA Volatility Channel by QuantAlgo is a versatile technical tool, designed to support both trend following and volatility analysis across different market environments. By combining smooth EMA trends with dynamic volatility-based channels, it helps traders and investors identify significant price movements while measuring market volatility, providing reliable technical signals. The tool's adaptability across timeframes makes it suitable for both trend-following and reversal strategies, allowing users to capture opportunities while maintaining awareness of changing market conditions.
Progressive Trend TrackerProgressive Trend Tracker (PTT) is a development combining Bollinger Bands with Highest Highs and Lowest Lows by K.Hasan Alpay & Anıl Özekşi.
Bollinger Bands have originally 3 lines: Simple Moving Average (Middle Line), Upper Band and Lower Band.
PTT concentrates on the upper and lower Bollinger band lines.
First, it calculates the bands using the Highest & Lowest prices in a period of time (Faster period and period) instead of closing prices.
Then, PTT takes the lowest values of the calculated upper band and, conversely, the highest values of the calculated lower band in a Slower period.
Default values:
Faster Period: 5
Period: 5
Bollinger Band Moving Average Period: 2
Slower Period: 10
These values are designed for daily time frame, so they have to be optimized in other timeframes by the user. (Ex: Higher values can be considered in lower time frames)
One more significant difference considering original Bollinger Bands is that PTT uses VIDYA (Variable Dynamic Moving Average = VAR) in the calculation instead of a Simple Moving Average.
Bollinger Bands cannot create significant BUY & SELL signals considering their original logic, but the primary purpose of PTT is to have substantial trading signals:
BUY when the price crosses above the PTT Lower line (cyan line)
STOP when the price crosses back below the PTT Lower line (cyan line)
SELL when the price crosses below the PTT Upper line (cyan line)
STOP when the price crosses back above the PTT Upper line (cyan line)
Developer Anıl Özekşi advises that traders may have more accurate signals when using a short-period moving average instead of closing prices, so I added the VIDYA moving average with the same default length ( 2 ), which is used in Bollinger Bands calculation. You can check the "SHOW MOVING AVERAGE?" box on the settings tab of the indicator.
Price SextantThe provided Pine Script™ code is for a technical analysis indicator called "Price Sextant." This indicator helps visualize the price position relative to its linear regression and standard deviation levels. Here's a brief description:
Price Sextant Indicator:
Purpose:
The Price Sextant indicator aims to show the current price's deviation from the linear regression line by dividing the price chart into different zones or sextants.
Components:
Linear Regression: The script calculates a linear regression line based on the closing prices over a specified length (default is 50 bars).
Standard Deviation Sections: It then computes standard deviation levels from the linear regression, creating upper and lower sections around the regression line.
Scoring: Each section is assigned a numerical score, and labels with corresponding scores are displayed on the chart.
Arrow and Midline: An arrow is drawn to indicate the current price's position in relation to the regression line and standard deviation bands. It changes color based in what section it is:
orange section shows a ranging price, below orange section -1 arrow turns red and show down trend and if arrow above +1 section it turns green and show strong up trend of price.
A midline is plotted to mark the position of the linear regression line.
Sextant Description:
In navigation, a sextant is an instrument used to measure the angle between two visible objects.
In the context of this indicator, the term "Sextant" is likely used metaphorically to describe the division of the price chart into six sections or zones based on the linear regression and standard deviation bands.
This indicator can help traders identify potential overbought or oversold conditions, as well as assess the strength and direction of the trend.
Please note that the effectiveness of the indicator depends on various factors, and it's advisable to use it in conjunction with other analysis tools for a comprehensive trading strategy.
