📊 Bollinger Band Strategy v1.0这份 Bollinger Band 工具脚本用于在图表上可视化布林带结构，并识别市场即将爆发的「低波动压缩区」（squeeze）、上下轨突破时机以及潜在的假突破反转信号。用户在 TradingView 图表中加载该脚本后，可以通过观察橙色小圆圈（表示布林带带宽低于阈值）、绿色/红色三角（价格突破上/下轨）以及紫色/青色叉号（free bar 回归）来辅助判断入场、出场或规避信号，从而提高波段交易的胜率与风控能力。适合结合 RSI、MACD 等动能指标进一步增强信号有效性。
// This Bollinger Band tool script is designed to visualize the Bollinger Band structure on a chart,
// identify potential "low volatility squeeze zones", breakout opportunities, and false breakout reversal signals.
// Once loaded in a TradingView chart, the user can monitor:
// - Orange circles: indicate that the Bollinger Band bandwidth has dropped below the defined threshold (squeeze signal),
// - Green/Red triangles: signal when price breaks above or below the Bollinger Bands,
// - Purple/Cyan crosses: suggest a possible fake breakout where price reverts back inside the band (free bar).
// These visual cues help traders better time entries and exits, avoid traps, and improve overall win rate in swing trading.
// This script is best used in combination with momentum indicators such as RSI and MACD to further increase accuracy.
Bollingersband
Adaptive Squeeze Momentum +Adaptive Squeeze Momentum+ (Auto-Timeframe Version)
Overview
Adaptive Squeeze Momentum+ is an enhanced volatility and momentum indicator designed to identify compression and expansion phases in price action. It is inspired by the classic Squeeze Momentum Indicator by LazyBear but introduces automatic parameter adaptation to any timeframe, making it simpler to use across different markets without manual configuration.
Concepts and Methodology
The script combines Bollinger Bands (BB) and Keltner Channels (KC) to detect periods when volatility contracts (squeeze) or expands (release).
A squeeze occurs when BB are inside KC, suggesting low volatility and potential breakout scenarios.
A squeeze release is detected when BB expand outside KC.
Momentum is derived using a linear regression applied to the difference between price and a midrange reference level.
Original Improvements
Compared to the original Squeeze Momentum Indicator, this version offers several enhancements:
Automatic Adaptation: BB and KC lengths and multipliers are dynamically adjusted based on the chart’s timeframe (from 1 minute up to 1 month), removing the need for manual tuning.
Simplified Visualization: A clean, minimalist histogram and clear squeeze state cross markers allow for faster interpretation.
Flexible Application: Designed to work consistently on intraday, daily, and higher timeframes across crypto, forex, stocks, and indices.
Features
Dynamic Squeeze Detection:
Gray Cross: Neutral (no squeeze detected)
Blue Cross: Active squeeze
Yellow Cross: Squeeze released
Momentum Histogram:
Positive/negative momentum shown with slope-based coloring.
Timeframe-Aware Parameters:
Automatically sets optimal BB/KC configurations.
Usage
Watch for blue crosses indicating an active squeeze phase that may precede a directional move.
Use the histogram color and slope to gauge momentum strength and direction.
Combine squeeze release signals with momentum confirmation for potential entries or exits.
Credits and Licensing
This script was inspired by LazyBear’s OLD “Squeeze Momentum Indicator” (). The implementation here significantly expands upon the original by introducing auto-adaptive parameters, restructured logic, and a new visualization approach. Published under the Mozilla Public License 2.0.
Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Use at your own risk.
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.
Bollinger Bands ETSOverview
Bollinger Bands ETstyle (BB ETS) is an advanced volatility and breakout detection indicator, building upon the classic Bollinger Bands. This script introduces adaptive ATR-based band width smoothing and clear squeeze detection, making it a versatile tool for traders seeking more responsive and actionable volatility analysis.
Features
Dual Bollinger Bands: Plots both standard and outer bands around a configurable moving average, allowing visualization of typical and extreme volatility ranges.
ATR-Based Band Smoothing (Optional): When enabled, the bands automatically widen during low-volatility periods using the Average True Range (ATR), reducing false signals and making the bands more adaptive.
Squeeze Detection (Optional): Highlights periods when the bands contract below a user-defined threshold, signaling potential breakout setups. Squeeze periods are visually marked with a background highlight for easy identification.
Customizable Settings: Users can adjust band length, standard deviation multipliers, ATR parameters, and squeeze thresholds. Both ATR smoothing and squeeze detection can be toggled on or off.
Clean Chart Output: The indicator overlays directly on price with clear, distinguishable visuals for all features.
How It Works
The indicator calculates a moving average (basis) and plots upper and lower bands at user-selected standard deviations.
If ATR smoothing is enabled, the band width expands by a multiple of the ATR, adapting to real-time volatility.
The script computes the relative band width ("bandwidth"). When this falls below your chosen threshold, the background is highlighted to indicate a "squeeze"-a period of reduced volatility that often precedes breakouts.
How to Use
Trend & Volatility Analysis: Use the bands to identify overbought/oversold conditions and current market volatility. Price touching or crossing the outer bands may signal trend exhaustion or continuation.
Breakout Anticipation: Watch for background highlights indicating a squeeze. These periods suggest the market is coiling for a potential significant move.
Adaptive Sensitivity: Enable ATR smoothing to keep bands relevant during both calm and volatile markets, reducing false signals in low-volatility conditions.
Customization: Adjust all parameters in the settings to match your trading style and the asset’s behavior.
Limitations
The indicator is designed for standard price charts and may not perform as intended on non-standard chart types (such as Renko or Heikin Ashi).
As with all technical tools, best results are achieved when used alongside other forms of analysis.
Summary
Bollinger Bands ETstyle (BB ETS) offers a modern, adaptive approach to volatility and breakout analysis by combining classic bands with ATR-based smoothing and clear squeeze visualization. It is suitable for trend-following and breakout strategies, and requires no additional scripts-simply apply to your chart and adjust the settings as needed.
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
RSI - 5UP Overview
The "RSI - 5UP" indicator is a versatile tool that enhances the traditional Relative Strength Index (RSI) by adding smoothing options, Bollinger Bands, and divergence detection. It provides a clear visual representation of RSI levels with customizable bands and optional moving averages, helping traders identify overbought/oversold conditions and potential trend reversals through divergence signals.
Features
Customizable RSI: Adjust the RSI length and source to fit your trading style.
Overbought/Oversold Bands: Visualizes RSI levels with intuitive color-coded bands (red for overbought at 70, white for neutral at 50, green for oversold at 30).
Smoothing Options: Apply various types of moving averages (SMA, EMA, SMMA, WMA, VWMA) to the RSI, with optional Bollinger Bands for volatility analysis.
Divergence Detection: Identifies regular bullish and bearish divergences, with visual labels ("Bull" for bullish, "Bear" for bearish) and alerts.
G radient Fills: Highlights overbought and oversold zones with gradient fills (green for overbought, red for oversold).
How to Use
1. Add to Chart: Apply the "RSI - 5UP" indicator to any chart. It works well on timeframes from 5 minutes to daily.
2. Configure Settings:
RSI Settings:
RSI Length: Adjust the period for RSI calculation (default: 14).
Source: Choose the price source for RSI (default: close).
Calculate Divergence: Enable to detect bullish/bearish divergences (default: disabled).
Smoothing:
Type: Select the type of moving average to smooth the RSI ("None", "SMA", "SMA + Bollinger Bands", "EMA", "SMMA (RMA)", "WMA", "VWMA"; default: "SMA").
Length: Set the period for the moving average (default: 14).
BB StdDev: If "SMA + Bollinger Bands" is selected, adjust the standard deviation multiplier for the bands (default: 2.0).
3.Interpret the Indicator:
RSI Levels: The RSI line (purple) oscillates between 0 and 100. Levels above 70 (red band) indicate overbought conditions, while levels below 30 (green band) indicate oversold conditions. The 50 level (white band) is neutral.
Gradient Fills: The background gradients (green above 70, red below 30) highlight overbought and oversold zones for quick reference.
Moving Average (MA): If enabled, a yellow MA line smooths the RSI. If "SMA + Bollinger Bands" is selected, green bands appear around the MA to show volatility.
Divergences: If "Calculate Divergence" is enabled, look for "Bull" (green label) and "Bear" (red label) signals:
Bullish Divergence: Indicates a potential upward reversal when the price makes a lower low, but the RSI makes a higher low.
Bearish Divergence: Indicates a potential downward reversal when the price makes a higher high, but the RSI makes a lower high.
4. Set Alerts:
Use the "Regular Bullish Divergence" and "Regular Bearish Divergence" alert conditions to be notified when a divergence is detected.
Notes
The indicator does not provide direct buy/sell signals. Use the RSI levels, moving averages, and divergence signals as part of a broader trading strategy.
Divergence detection requires the "Calculate Divergence" option to be enabled and may not work on all timeframes or assets due to market noise.
The Bollinger Bands are only visible when "SMA + Bollinger Bands" is selected as the smoothing type.
Credits
Developed by Marrulk. Enjoy trading with RSI - 5UP! 🚀
Triple SRSI-MFI Ⅲ - Multi TimeframeTriple SRSI-MFI Ⅲ - Multi Timeframe Indicator
Description
The Triple SRSI-MFI Ⅲ - Multi Timeframe indicator is a powerful tool designed to combine Stochastic RSI (SRSI) and Money Flow Index (MFI) across multiple timeframes (higher, current, and lower). It provides a comprehensive view of market momentum and potential overbought/oversold conditions by calculating a weighted hybrid of SRSI-MFI values from three different timeframes. The indicator also integrates Bollinger Bands to help identify trend direction and volatility.
This indicator is ideal for traders who want to analyze market conditions across multiple timeframes without switching charts. It automatically adjusts settings based on the current timeframe and includes a dynamic weighting system optimized for Bitcoin volatility. Additionally, a real-time information panel displays the market state (buy/sell) and signal strength.
Key Features
Multi-Timeframe Analysis: Combines SRSI-MFI from higher, current, and lower timeframes for a holistic view.
Dynamic Weighting: Automatically adjusts weights for each timeframe based on Bitcoin volatility, with an option for manual customization.
Bollinger Bands Integration: Visualizes trend direction and volatility using Bollinger Bands, with customizable source selection.
Real-Time Info Panel: Displays market state (buy/sell) and signal strength (%) in the top-right corner of the chart.
Customizable Settings: Allows users to tweak MFI source, Bollinger Bands parameters, and visibility of individual components.
How to Use
Add to Chart: Add the "Triple SRSI-MFI Ⅲ - Multi Timeframe" indicator to your chart.
Interpret Signals:
Market State (Buy/Sell): Shown in the info panel. "Buy" when the average SRSI-MFI is above the Bollinger Bands basis, "Sell" when below.
Strength (%): The relative position of the average SRSI-MFI within the Bollinger Bands, scaled from 0% to 100%.
Overbought/Oversold Levels: The indicator plots horizontal lines at 80 (overbought) and 20 (oversold). Use these as potential reversal zones.
Combine with Price Action: Use the indicator in conjunction with price action or other tools for better decision-making.
Adjust Settings: Customize the settings (e.g., Bollinger Bands length, weights, visibility) to match your trading style.
Settings
MFI Source: Select the source for MFI calculation (default: "hlc3"). Options include "close", "open", "high", "low", "hl2", "hlc3", "ohlc4".
Bollinger Bands:
Length: Period for Bollinger Bands calculation (default: 20).
Multiplier: Standard deviation multiplier for the bands (default: 2.0).
Source: Choose which SRSI-MFI value to use for Bollinger Bands ("averageHybrid", "hybrid_higher", "hybrid_current", "hybrid_lower"; default: "hybrid_higher").
Weights:
Auto Weight Enabled: Enable/disable automatic weights based on Bitcoin volatility (default: true).
Higher/Current/Lower Weights: Manually set weights for each timeframe if auto-weight is disabled (defaults: 1.5, 1.0, 0.5).
Indicator On/Off:
Toggle visibility for Higher SRSI-MFI, Current SRSI-MFI, Lower SRSI-MFI, Average SRSI-MFI, and Bollinger Bands.
How It Works
SRSI-MFI Calculation:
Stochastic RSI (SRSI) and Money Flow Index (MFI) are calculated for three timeframes: higher, current, and lower.
The hybrid value (SRSI * (MFI / 100)) is computed for each timeframe.
Weighted Average:
The hybrid values are combined into a weighted average (averageHybrid) using dynamic or manual weights.
Bollinger Bands:
Bollinger Bands are applied to the selected source (e.g., hybrid_higher) to identify trend direction and volatility.
Relative Position:
The position of averageHybrid within the Bollinger Bands is scaled to a percentage (0% to 100%) for strength assessment.
Visualization:
Plots individual SRSI-MFI lines, Bollinger Bands, and overbought/oversold levels.
A real-time info panel provides market state and signal strength.
Notes
This indicator is best used as part of a broader trading strategy. It is not a standalone signal generator and should be combined with other forms of analysis.
The automatic weights are optimized for Bitcoin (BTC) volatility. For other assets, you may need to adjust the weights manually.
The indicator may require sufficient historical data to calculate higher and lower timeframe values accurately.
MACD & Bollinger Bands Overbought OversoldMACD & Bollinger Bands Reversal Detector
This indicator combines the power of MACD divergence analysis with Bollinger Bands to help traders identify potential reversal points in the market.
Key Features:
MACD Calculation & Divergence:
The script calculates the standard MACD components (MACD line, Signal line, and Histogram) using configurable fast, slow, and signal lengths. It includes a simplified divergence detection mechanism that flags potential bearish divergence—when the price makes a new swing high but the MACD fails to confirm the move. This divergence can serve as an early warning that the bullish momentum is waning.
Bollinger Bands:
A 20-period simple moving average (SMA) is used as the basis, with upper and lower bands drawn at 2 standard deviations. These bands help visualize overbought and oversold conditions. For example, a close at or above the upper band suggests the market may be overextended (overbought), while a close at or below the lower band may indicate oversold conditions.
Visual Alerts:
The indicator plots the Bollinger Bands on the chart along with labels marking overbought and oversold conditions. Additionally, it marks potential bearish divergence with a downward triangle, providing a quick visual cue to traders.
Usage Suggestions:
Confluence with Other Signals:
Use the divergence signals and Bollinger Band conditions as filters. For example, even if another indicator suggests a long entry, you might avoid it if the price is overbought or if MACD divergence warns of weakening momentum.
Customization:
All key parameters, such as the MACD lengths, Bollinger Band period, and multiplier, are fully configurable. This flexibility allows you to adjust the indicator to suit different markets or trading styles.
Disclaimer:
This script is provided for educational purposes only. Always perform your own analysis and backtesting before trading with live capital.
Multi-indicator Signal Builder [Skyrexio]Overview
Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis, making it a powerful toolkit for technical traders.
Indicators Overview
1. RSI (Relative Strength Index)
Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale.
2. Ultimate Oscillator (UO)
Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences.
3. Bollinger %B
Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold).
4. Moving Average (MA)
Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers.
5. ADX (Average Directional Index)
Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend.
6. Stochastic
Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals.
7. MACD (Moving Average Convergence/Divergence)
Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers.
8. PSAR (Parabolic SAR)
Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR.
9. MFI (Money Flow Index)
Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold.
10. CCI (Commodity Channel Index)
Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe.
11. Heikin Ashi
A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends.
12. TV Screener
A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired.
Unique Features
1. Multi-Indicator Entry and Exit
You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers.
2. Single-Entry / Single-Exit with Intrabar SL/TP
The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets.
3. Time Window Filter
Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading.
4. Condition Table and Statistics
A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc.
5. Seamless Alerts and Automation
Configure alerts in TradingView using “Any alert() function call.”
The script sends JSON alert messages you can route to your own webhook.
The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges
6. Optional MA/PSAR Plots
For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators.
Methodology
1. Multi-Indicator Entry Logic
When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers.
2. Single-Entry Intrabar SL/TP
One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close.
Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end.
3. Exit Logic
All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close.
4. Time Filter
Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval.
Justification of Methodology
Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals.
Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios.
Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots).
Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods.
How to Use
1. Add the Script to Your Chart
In TradingView, open Indicators , search for “Multi-indicator Signal Builder”.
Click to add it to your chart.
2. Configure Inputs
Time Filter: Set a start and end date for trades.
Alerts Messages: Input any JSON or text payload needed by your external service or bot.
Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry.
Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels.
3. Set Up Alerts
In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script.
Entry Alert: Triggers on the script’s entry signal.
Close Alert: Triggers on the script’s close signal (or if SL/TP is hit).
Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker).
4. Visual Reference
A condition table at the bottom summarizes active signals.
Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics.
Backtesting Guidelines
Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing.
Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions.
Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance.
Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability.
Example of statistic calculation
Test Period: 2023-01-01 to 2025-12-31
Initial Capital: $1,000
Commission: 0.1%, Slippage ~5 ticks
Trade Count: 468 (varies by strategy conditions)
Win rate: 76% (varies by strategy conditions)
Net Profit: +96.17% (varies by strategy conditions)
Disclaimer
This indicator is provided strictly for informational and educational purposes .
It does not constitute financial or trading advice.
Past performance never guarantees future results.
Always test thoroughly in demo environments before using real capital.
Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
Smart Market Bias [PhenLabs]📊 Smart Market Bias Indicator (SMBI)
Version: PineScript™ v6
Description
The Smart Market Bias Indicator (SMBI) is an advanced technical analysis tool that combines multiple statistical approaches to determine market direction and strength. It utilizes complexity analysis, information theory (Kullback Leibler divergence), and traditional technical indicators to provide a comprehensive market bias assessment. The indicator features adaptive parameters based on timeframe and trading style, with real-time visualization through a sophisticated dashboard.
🔧 Components
Complexity Analysis: Measures price movement patterns and trend strength
KL Divergence: Statistical comparison of price distributions
Technical Overlays: RSI and Bollinger Bands integration
Filter System: Volume and trend validation
Visual Dashboard: Dynamic color-coded display of all components
Simultaneous current timeframe + higher time frame analysis
🚨Important Explanation Feature🚨
By hovering over each individual cell in this comprehensive dashboard, you will get a thorough and in depth explanation of what each cells is showing you
Visualization
HTF Visualization
📌 Usage Guidelines
Based on your own trading style you should alter the timeframe length that you would like to be analyzing with your dashboard
The longer the term of the position you are planning on entering the higher timeframe you should have your dashboard set to
Bias Interpretation:
Values > 50% indicate bullish bias
Values < 50% indicate bearish bias
Neutral zone: 45-55% suggests consolidation
✅ Best Practices:
Use appropriate timeframe preset for your trading style
Monitor all components for convergence/divergence
Consider filter strength for signal validation
Use color intensity as confidence indicator
⚠️ Limitations
Requires sufficient historical data for accurate calculations
Higher computational complexity on lower timeframes
May lag during extremely volatile conditions
Best performance during regular market hours
What Makes This Unique
Multi-Component Analysis: Combines complexity theory, statistical analysis, and traditional technical indicators
Adaptive Parameters: Automatically optimizes settings based on timeframe
Triple-Layer Filtering: Uses trend, volume, and minimum strength thresholds
Visual Confidence System: Color intensity indicates signal strength
Multi-Timeframe Capabilities: Allowing the trader to analyze not only their current time frame but also the higher timeframe bias
🔧 How It Works
The indicator processes market data through four main components:
Complexity Score (40% weight): Analyzes price returns and pattern complexity
Kullback Leibler Divergence (30% weight): Compares current and historical price distributions
RSI Analysis (20% weight): Momentum and oversold/overbought conditions
Bollinger Band Position (10% weight): Price position relative to volatility
Underlying Method
Maintains rolling windows of price data for multiple calculations
Applies custom normalization using hyperbolic tangent function
Weights component scores based on reliability and importance
Generates final bias percentage with confidence visualization
💡 Note: For optimal results, use in conjunction with price action analysis and consider multiple timeframe confirmation. The indicator performs best when all components show alignment.
Bollinger Bands Reversal + IBS Strategy█ STRATEGY DESCRIPTION
The "Bollinger Bands Reversal Strategy" is a mean-reversion strategy designed to identify potential buying opportunities when the price deviates below the lower Bollinger Band and the Internal Bar Strength (IBS) indicates oversold conditions. It enters a long position when specific conditions are met and exits when the IBS indicates overbought conditions. This strategy is suitable for use on various timeframes.
█ WHAT ARE BOLLINGER BANDS?
Bollinger Bands consist of three lines:
- **Basis**: A Simple Moving Average (SMA) of the price over a specified period.
- **Upper Band**: The basis plus a multiple of the standard deviation of the price.
- **Lower Band**: The basis minus a multiple of the standard deviation of the price.
Bollinger Bands help identify periods of high volatility and potential reversal points.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) is a measure of where the closing price is relative to the high and low of the bar. It is calculated as:
IBS = (Close - Low) / (High - Low)
A low IBS value (e.g., below 0.2) indicates that the close is near the low of the bar, suggesting oversold conditions. A high IBS value (e.g., above 0.8) indicates that the close is near the high of the bar, suggesting overbought conditions.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The IBS value is below 0.2, indicating oversold conditions.
The close price is below the lower Bollinger Band.
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
A Sell Signal is generated when the IBS value exceeds 0.8, indicating overbought conditions. This prompts the strategy to exit the position.
█ ADDITIONAL SETTINGS
Length: The lookback period for calculating the Bollinger Bands. Default is 20.
Multiplier: The number of standard deviations used to calculate the upper and lower Bollinger Bands. Default is 2.0.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for mean-reverting markets and performs best when the price frequently deviates from the Bollinger Bands.
It is sensitive to oversold and overbought conditions, as indicated by the IBS, which helps to identify potential reversals.
Backtesting results should be analyzed to optimize the Length and Multiplier parameters for specific instruments.
Full Spectrum Delta BandsI created the Full Spectrum Delta Bands (FullSpec ΔBB) to go beyond traditional Bollinger Bands by incorporating both OHLC (Open, High, Low, Close) and Close-based data into the calculations. Instead of relying solely on closing prices, this indicator evaluates deviations from the complete bar range (OHLC), offering a more accurate view of market behavior.
A key feature is the Delta Flip, which highlights shifts between OHLC and Close-based bands. These flips are visually marked with color changes, signaling potential trend reversals, breakout zones, or volatility shifts. Traders can use these moments as inflection points to refine their entry and exit strategies.
The indicator also supports customizable sensitivity and deviation multiplier settings, allowing it to adapt to different trading styles and timeframes. Lower deviation values (e.g., 1σ or 1.5σ) are ideal for scalping on shorter timeframes like 5-min or 15-min charts, while higher values (e.g., 2.5σ or 3σ) are better suited for long-term trend analysis on weekly or monthly charts. The standard deviation multiplier fine-tunes the upper and lower bands to match specific trading goals and market conditions.
I designed Full Spectrum Delta Bands to provide deeper insights and a clearer view of market dynamics compared to traditional Bollinger Bands. Whether you’re a scalper, swing trader, or long-term investor, this tool helps you make informed and confident trading decisions.
Range Channel by Atilla YurtsevenThis script creates a dynamic channel around a user-selected moving average (MA). It calculates the relative difference between price and the MA, then finds the average of the positive differences and the negative differences separately. Using these averages, it plots upper and lower bands around the MA as well as a histogram-like oscillator to show when price moves above or below the average thresholds.
How It Works
Moving Average Selection
The indicator allows you to choose among multiple MA types (SMA, EMA, WMA, Linear Regression, etc.). Depending on your preference, it calculates the chosen MA for the selected lookback period.
Relative Difference Calculation
It then computes the percentage difference between the source (typically the closing price) and the MA. (diff = (src / ma - 1) * 100)
Positive & Negative Averages
- Positive differences are averaged and represent how far the price typically moves above the MA.
- Negative differences are similarly averaged for when price moves below the MA.
Range Channel & Oscillator
- The channel is plotted around the MA using the average positive and negative differences (Upper Edge and Lower Edge).
- The “Untrended” histogram plots the difference (diff). Green bars occur when price is above the MA on average, and red bars when below. Two additional lines mark the upper and lower average thresholds on this histogram.
How to Use
Identify Overbought/Oversold Zones: The upper edge can serve as a dynamic overbought level, while the lower edge can suggest potential oversold conditions. When the histogram approaches or crosses these levels, it may signal price extremes relative to its average movement.
Trend Confirmation: Compare price action relative to the channel. If price and the histogram consistently remain above the MA and upper threshold, it could indicate a stronger bullish trend. If they remain below, it might signal a prolonged bearish trend.
Entry/Exit Timings:
- Entry: Traders can look for moments when price breaks back inside the channel from an extreme, anticipating a mean reversion.
- Exit: Watching how price interacts with these dynamic edges can help define stop-loss or take-profit points.
Because these thresholds adapt over time based on actual price behavior, they can be more responsive than fixed-percentage bands. However, like all indicators, it’s most effective when used in conjunction with other technical and fundamental tools.
Disclaimer
This script is provided for educational and informational purposes only. It does not guarantee any specific outcome or profit. Use it at your own discretion and risk.
Trade smart, stay safe.
Atilla Yurtseven
Ultra Market StructureThe Ultra Market Structure indicator detects key market structure breaks, such as Break of Structure (BoS) and Change of Character (CHoCH), to help identify trend reversals. It plots lines and labels on the chart to visualize these breakpoints with alerts for important signals.
Introduction
This script is designed to help traders visualize important market structure events, such as trend breaks and reversals, using concepts like Break of Structure (BoS) and Change of Character (CHoCH). The indicator highlights internal and external price levels where the market shifts direction. It offers clear visual signals and alerts to keep traders informed of potential changes in the market trend.
Detailed Description
The indicator focuses on detecting "market structure breaks," which occur when the price moves past significant support or resistance levels, suggesting a potential reversal or continuation of the trend.
.........
Type of structure
Internal Structure: Focuses on smaller, shorter-term price levels within the current market trend.
External Structure: Focuses on larger, longer-term price levels that may indicate more significant shifts in the market.
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Key events
Break of Structure (BoS): A market structure break where the price surpasses a previous high (bullish BoS) or low (bearish BoS).
Change of Character (CHoCH): A shift in market behavior when the price fails to continue in the same direction, indicating a possible trend reversal.
Once a break or shift is detected, the script plots lines and labels on the chart to visually mark the breakpoints.
It also provides alerts when a BoS or CHoCH occurs, keeping traders informed in real-time.
The indicator can color the background and candles based on the market structure, making it easy to identify the current trend.
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Special feature
At news events or other momentum pushes most structure indicators will go into "sleep mode" because of too far away structure highs/lows. This indicator has a structure reset feature to solve this issue.
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Detects Break of Structure (BoS) and Change of Character (CHoCH) signals.
Marks internal and external support/resistance levels where market trends change.
Provides visual cues (lines, labels) and real-time alerts for structure breaks.
Offers background and candle color customization to highlight market direction.
Multi-timeframe 24 moving averages + BB+SAR+Supertrend+VWAP █ OVERVIEW
The script allows to display up to 24 moving averages ("MA"'s) across 5 timeframes plus two bands (Bollinger Bands or Supertrend or Parabolic SAR or VWAP bands) each from its own timeframe.
The main difference of this script from many similar ones is the flexibility of its settings:
- Bulk enable/disable and/or change properties of several MAs at once.
- Save 3 of your frequently used templates as presets using CSV text configurations.
█ HOW TO USE
Some use examples:
In order to "show 31, 50, 200 EMAs and 20, 100, 200 SMAs for each of 1H, 4H, D, W, M timeframes using blue for short MA, yellow for mid MA and red for long MA" use the settings as shown on a screenshot below.
In order to "Show a band of chart timeframe MA's of lengths 5, 8, 13, 21, 34, 55, 100 and 200 plus some 1H, 4H, D and W MAs. Be able to quickly switch off the band of chart tf's MAs. For chart timeframe MA's only show labels for 21, 100 and 200 EMAs". You can set TF1 and TF2 to chart's TF and set you fib MAs there and configure fixed higher timeframe MAs using TF3, TF4 and TF5 (e.g. using 1H, D and W timeframes and using 1H 800 in place of 4H 200 MA). However, quicker way may be using CSV - the syntax is very simple and intuitive, see Preset 2 as it comes in the script. You can easily switch chart tf's band of MAs by toggling on/off your chart timeframe TF's (in our example, TF1 and TF2).
The settings are either obvious or explained in tooltips.
Note 1: When using group settings and CSV presets do not forget that individual setting affected will no have any effect. So, if some setting does not work, check whether it is overridden with some group setting or a CSV preset.
Note 2: Sometimes you can notice parts of MA's hanging in the air, not lasting up to the last bar. This is not a bug as explained on this screenshot:
█ FOR DEVELOPERS
The script is a use case of my CSVParser library, which in turn uses Autotable library, both of which I hope will be quite helpful. Autotable is so powerful and comprehensive that you will hardly ever wish to use normal table functions again for complex tables.
The indicator was inspired by Pablo Limonetti's url=https://www.tradingview.website/script/nFs56VUZ/]Multi Timeframe Moving Averages and Raging @RagingRocketBull's # Multi SMA EMA WMA HMA BB (5x8 MAs Bollinger Bands) MAX MTF - RRB
HTFBands█ OVERVIEW
Contains type and methods for drawing higher-timeframe bands of several types:
Bollinger bands
Parabolic SAR
Supertrend
VWAP
By copy pasting ready made code sections to your script you can add as many multi-timeframe bands as necessary.
█ HOW TO USE
Please see instructions in the code. (Important: first fold all sections of the script: press Cmd + K then Cmd + - (for Windows Ctrl + K then Ctrl + -)
█ FULL LIST OF FUNCTIONS AND PARAMETERS
atr2(length)
An alternate ATR function to the `ta.atr()` built-in, which allows a "series float"
`length` argument.
Parameters:
length (float) : (series int/float) Length for the smoothing parameter calculation.
Returns: (float) The ATR value.
pine_supertrend2(factor, atrLength, wicks)
An alternate SuperTrend function to `supertrend()`, which allows a "series float"
`atrLength` argument.
Parameters:
factor (float) : (series int/float) Multiplier for the ATR value.
atrLength (float) : (series int/float) Length for the ATR smoothing parameter calculation.
wicks (simple bool) : (simple bool) Condition to determine whether to take candle wicks into account when
reversing trend, or to use the close price. Optional. Default is false.
Returns: ( ) A tuple of the superTrend value and trend direction.
method getDefaultBandQ1(bandType)
For a given BandType returns its default Q1
Namespace types: series BandTypes
Parameters:
bandType (series BandTypes)
method getDefaultBandQ2(bandType)
For a given BandType returns its default Q2
Namespace types: series BandTypes
Parameters:
bandType (series BandTypes)
method getDefaultBandQ3(bandType)
For a given BandType returns its default Q3
Namespace types: series BandTypes
Parameters:
bandType (series BandTypes)
method init(this, bandsType, q1, q2, q3, vwapAnchor)
Initiates RsParamsBands for each band (used in htfUpdate() withi req.sec())
Namespace types: RsParamsBands
Parameters:
this (RsParamsBands)
bandsType (series BandTypes)
q1 (float) : (float) Depending on type: BB - length, SAR - AF start, ST - ATR's prd
q2 (float) : (float) Depending on type: BB - StdDev mult, SAR - AF step, ST - mult
q3 (float) : (float) Depending on type: BB - not used, SAR - AF max, ST - not used
vwapAnchor (series VwapAnchors) : (VwapAnchors) VWAP ahcnor
method init(this, bandsType, tf, showRecentBars, lblsShow, lblsMaxLabels, lblSize, lnMidClr, lnUpClr, lnLoClr, fill, fillClr, lnWidth, lnSmoothen)
Initialises object with params (incl. input). Creates arrays if any.
Namespace types: HtfBands
Parameters:
this (HtfBands)
bandsType (series BandTypes) : (BandTypes) Just used to enable/disable - if BandTypes.none then disable )
tf (string) : (string) Timeframe
showRecentBars (int) : (int) Only show over this number of recent bars
lblsShow (bool) : (bool) Show labels
lblsMaxLabels (int) : (int) Max labels to show
lblSize (string) : (string) Size of the labels
lnMidClr (color) : (color) Middle band color
lnUpClr (color) : (color) Upper band color
lnLoClr (color) : (color) Lower band color
fill (bool)
fillClr (color) : (color) Fill color
lnWidth (int) : (int) Line width
lnSmoothen (bool) : (bool) Smoothen the bands
method htfUpdateTuple(rsPrms, repaint)
(HTF) Calculates Bands within request.security(). Returns tuple . If any or all of the bands are not available returns na as their value.
Namespace types: RsParamsBands
Parameters:
rsPrms (RsParamsBands) : (RsParamsBands) Parameters of the band.
repaint (bool) : (bool) If true does not update on realtime bars.
Returns: A tuple (corresponds to fields in RsReturnBands)
method importRsRetTuple(this, htfBi, mid, up, lo, dir)
Imports a tuple returned from req.sec() into an HtfBands object
Namespace types: HtfBands
Parameters:
this (HtfBands) : (HtfBands) Object to import to
htfBi (int) : (float) Higher timeframe's bar index (Default = na)
mid (float)
up (float) : (float) Value of upper band (Default = na)
lo (float) : (float) Value of lower band (Default = na)
dir (int) : (int) Direction (for bands like Parabolic SAR) (Default = na)
method addUpdDrawings(this, rsPrms)
Draws band's labels
Namespace types: HtfBands
Parameters:
this (HtfBands)
rsPrms (RsParamsBands)
method update(this)
Sets band's values to na on intrabars if `smoothen` is set.
Namespace types: HtfBands
Parameters:
this (HtfBands)
method newRsParamsBands(this)
A wraper for RsParamsBands.new()
Namespace types: LO_A
Parameters:
this (LO_A)
method newHtfBands(this)
A wraper for HtfBands.new()
Namespace types: LO_B
Parameters:
this (LO_B)
RsParamsBands
Used to pass bands' params to req.sec()
Fields:
bandsType (series BandTypes) : (enum BandTypes) Type of the band (BB, SAR etc.)
q1 (series float) : (float) Depending on type: BB - length, SAR - AF start, ST - ATR's prd
q2 (series float) : (float) Depending on type: BB - StdDev mult, SAR - AF step, ST - mult
q3 (series float) : (float) Depending on type: BB - not used, SAR - AF max, ST - not used
vwapAnchor (series VwapAnchors)
RsReturnBands
Used to return bands' data from req.sec(). Params of the bands are in RsParamsBands
Fields:
htfBi (series float) : (float) Higher timeframe's bar index (Default = na)
upBand (series float) : (float) Value of upper band (Default = na)
loBand (series float) : (float) Value of lower band (Default = na)
midBand (series float) : (float) Value of middle band (Default = na)
dir (series int) : (float) Direction (for bands like Parabolic SAR) (Default = na)
BandsDrawing
Contains plot visualization parameters and stores and keeps track of lines, labels and other visual objects (not plots)
Fields:
lnMidClr (series color) : (color) Middle band color
lnLoClr (series color) : (color) Lower band color
lnUpClr (series color) : (color) Upper band color
fillUpClr (series color)
fillLoClr (series color)
lnWidth (series int) : (int) Line width
lnSmoothen (series bool) : (bool) Smoothen the bands
showHistory (series bool) : (bool) If true show bands lines, otherwise only current level
showRecentBars (series int) : (int) Only show over this number of recent bars
arLbl (array) : (label Labels
lblsMaxLabels (series int) : (int) Max labels to show
lblsShow (series bool) : (bool) Show labels
lblSize (series string) : (string) Size of the labels
HtfBands
Calcs and draws HTF bands
Fields:
rsRet (RsReturnBands) : (RsReturnBands) Bands' values
rsRetNaObj (RsReturnBands) : (RsReturnBands) Dummy na obj for returning from request.security()
rsPrms (RsParamsBands) : (RsParamsBands) Band parameters (for htfUpdate() called in req.sec() )
drw (BandsDrawing) : (BandsDrawing) Contains plot visualization parameters and stores and keeps track of lines, labels and other visual objects (not plots)
enabled (series bool) : (bool) Toggles bands on/off
tf (series string) : (string) Timeframe
LO_A
LO Library object, whose only purpose is to serve as a shorthand for library name in script code.
Fields:
dummy (series string)
LO_B
LO Library object, whose only purpose is to serve as a shorthand for library name in script code.
Fields:
dummy (series string)
RSI with Bollinger Bands Scalp Startegy (1min)
------------------------------------------------------------------------------
The "RSI with Bollinger Bands Scalp Strategy (1min)" is a highly effective tool designed for traders who engage in short-term scalping on the 1-minute chart. This indicator combines the strengths of the RSI (Relative Strength Index) and Bollinger Bands to generate precise buy signals, helping traders make quick and informed decisions in fast-moving markets.
How It Works:
RSI (Relative Strength Index):
The RSI is a widely-used momentum oscillator that measures the speed and change of price movements. It operates on a scale of 0 to 100 and helps identify overbought and oversold conditions in the market.
This strategy allows customization of the RSI's lower and upper bands (default settings: 30 for the lower band and 70 for the upper band) and the RSI length (default: 14).
Bollinger Bands:
Bollinger Bands consist of a central moving average (the basis) and two bands that represent standard deviations above and below the basis. These bands expand and contract based on market volatility.
In this strategy, the Bollinger Bands are used to identify potential buy and sell signals based on the price's relationship to the upper and lower bands.
Signal Generation:
Buy Signal: A buy signal is triggered when two conditions are met:
The RSI value falls below the specified lower band, indicating an oversold condition.
The price crosses below the lower Bollinger Band.
The buy signal is then issued on the first positive candle (where the closing price is greater than or equal to the opening price) after these conditions are met.
Sell Signal: In this version of the strategy, the sell signal is currently disabled to focus solely on generating and optimizing the buy signals for scalping.
Strategy Highlights:
This indicator is particularly effective for traders who focus on 1-minute charts and want to capitalize on rapid price movements.
The combination of RSI and Bollinger Bands ensures that buy signals are only generated during significant oversold conditions, helping to filter out false signals.
Customization:
Users can adjust the RSI length, Bollinger Bands length, and the standard deviation multiplier to better fit their specific trading style and the asset they are trading.
The moving average type for Bollinger Bands can be selected from various options, including SMA, EMA, SMMA, WMA, and VWMA, allowing further customization based on individual preferences.
Usage:
Use this indicator on a 1-minute chart to identify potential buy opportunities during short-term price dips.
Since the sell signals are disabled, this strategy is best used in conjunction with other indicators or strategies to manage exit points effectively.
This "RSI with Bollinger Bands Scalp Strategy (1min)" indicator is a valuable tool for traders looking to enhance their short-term trading performance by focusing on high-probability entry points in volatile market conditions.
Bollinger Bands Enhanced StrategyOverview
The common practice of using Bollinger bands is to use it for building mean reversion or squeeze momentum strategies. In the current script Bollinger Bands Enhanced Strategy we are trying to combine the strengths of both strategies types. It utilizes Bollinger Bands indicator to buy the local dip and activates trailing profit system after reaching the user given number of Average True Ranges (ATR). Also it uses 200 period EMA to filter trades only in the direction of a trend. Strategy can execute only long trades.
Unique Features
Trailing Profit System: Strategy uses user given number of ATR to activate trailing take profit. If price has already reached the trailing profit activation level, scrip will close long trade if price closes below Bollinger Bands middle line.
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Major Trend Filter: Strategy utilizes 100 period EMA to take trades only in the direction of a trend.
Flexible Risk Management: Users can choose number of ATR as a stop loss (by default = 1.75) for trades. This is flexible approach because ATR is recalculated on every candle, therefore stop-loss readjusted to the current volatility.
Methodology
First of all, script checks if currently price is above the 200-period exponential moving average EMA. EMA is used to establish the current trend. Script will take long trades on if this filtering system showing us the uptrend. Then the strategy executes the long trade if candle’s low below the lower Bollinger band. To calculate the middle Bollinger line, we use the standard 20-period simple moving average (SMA), lower band is calculated by the substruction from middle line the standard deviation multiplied by user given value (by default = 2).
When long trade executed, script places stop-loss at the price level below the entry price by user defined number of ATR (by default = 1.75). This stop-loss level recalculates at every candle while trade is open according to the current candle ATR value. Also strategy set the trailing profit activation level at the price above the position average price by user given number of ATR (by default = 2.25). It is also recalculated every candle according to ATR value. When price hit this level script plotted the triangle with the label “Strong Uptrend” and start trail the price at the middle Bollinger line. It also started to be plotted as a green line.
When price close below this trailing level script closes the long trade and search for the next trade opportunity.
Risk Management
The strategy employs a combined and flexible approach to risk management:
It allows positions to ride the trend as long as the price continues to move favorably, aiming to capture significant price movements. It features a user-defined ATR stop loss parameter to mitigate risks based on individual risk tolerance. By default, this stop-loss is set to a 1.75*ATR drop from the entry point, but it can be adjusted according to the trader's preferences.
There is no fixed take profit, but strategy allows user to define user the ATR trailing profit activation parameter. By default, this stop-loss is set to a 2.25*ATR growth from the entry point, but it can be adjusted according to the trader's preferences.
Justification of Methodology
This strategy leverages Bollinger bangs indicator to open long trades in the local dips. If price reached the lower band there is a high probability of bounce. Here is an issue: during the strong downtrend price can constantly goes down without any significant correction. That’s why we decided to use 200-period EMA as a trend filter to increase the probability of opening long trades during major uptrend only.
Usually, Bollinger Bands indicator is using for mean reversion or breakout strategies. Both of them have the disadvantages. The mean reversion buys the dip, but closes on the return to some mean value. Therefore, it usually misses the major trend moves. The breakout strategies usually have the issue with too high buy price because to have the breakout confirmation price shall break some price level. Therefore, in such strategies traders need to set the large stop-loss, which decreases potential reward to risk ratio.
In this strategy we are trying to combine the best features of both types of strategies. Script utilizes ate ATR to setup the stop-loss and trailing profit activation levels. ATR takes into account the current volatility. Therefore, when we setup stop-loss with the user-given number of ATR we increase the probability to decrease the number of false stop outs. The trailing profit concept is trying to add the beat feature from breakout strategies and increase probability to stay in trade while uptrend is developing. When price hit the trailing profit activation level, script started to trail the price with middle line if Bollinger bands indicator. Only when candle closes below the middle line script closes the long trade.
Backtest Results
Operating window: Date range of backtests is 2020.10.01 - 2024.07.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 30%
Maximum Single Position Loss: -9.78%
Maximum Single Profit: +25.62%
Net Profit: +6778.11 USDT (+67.78%)
Total Trades: 111 (48.65% win rate)
Profit Factor: 2.065
Maximum Accumulated Loss: 853.56 USDT (-6.60%)
Average Profit per Trade: 61.06 USDT (+1.62%)
Average Trade Duration: 76 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 4h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Buffett Valuation Indicator [TradeDots]The Buffett Valuation Indicator (also known as the Buffett Index or Buffett Ratio) measures the ratio of the total United States stock market to GDP.
This indicator helps determine whether the valuation changes in US stocks are justified by the GDP level.
For example, the ratio is calculated based on the standard deviations from the historical trend line. If the value exceeds +2 standard deviations, it suggests that the stock market is overvalued relative to GDP, and vice versa.
This "Buffett Valuation Indicator" is an enhanced version of the original indicator. It applies a Bollinger Band over the Valuation/GDP ratio to identify overvaluation and undervaluation across different timeframes, making it efficient for use in smaller timeframes, e.g. daily or even hourly intervals.
HOW DOES IT WORK
The Buffett Valuation Indicator measures the ratio between US stock valuation and US GDP, evaluating whether stock valuations are overvalued or undervalued in GDP terms.
In this version, the total valuation of the US stock market is represented by considering the top 10 market capitalization stocks.
Users can customize this list to include other stocks for a more balanced valuation ratio. Alternatively, users may use S&P 500 ETFs, such as SPY or VOO, as inputs.
The ratio is plotted as a line chart in a separate panel below the main chart. A Bollinger Band with a default 100-period and multiples of 1 and 2 is used to identify overvaluation and undervaluation.
For instance, if the ratio line moves above the +2 standard deviation line, it indicates that stocks are overvalued, signaling a potential selling opportunity.
APPLICATION
When the indicator is applied to a chart, we observe the ratio line's movements relative to the standard deviation lines. The further the line deviates from the standard deviation lines, the more extreme the overvaluation or undervaluation.
We look for buying opportunities when the Buffett Index moves below the first and second standard deviation lines and sell opportunities when it moves above these lines. This indicator is used as a microeconomic confirmation tool, in combination with other indicators, to achieve higher win-rate setups.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Vegas SuperTrend Enhanced - Strategy [presentTrading]█ Introduction and How it is Different
The "Vegas SuperTrend Enhanced - Strategy " trading strategy represents a novel integration of two powerful technical analysis tools: the Vegas Channel and the SuperTrend indicator. This fusion creates a dynamic, adaptable strategy designed for the volatile and fast-paced cryptocurrency markets, particularly focusing on Bitcoin trading.
Unlike traditional trading strategies that rely on a static set of rules, this approach modifies the SuperTrend's sensitivity to market volatility, offering traders the ability to customize their strategy based on current market conditions. This adaptability makes it uniquely suited to navigating the often unpredictable swings in cryptocurrency valuations, providing traders with signals that are both timely and reflective of underlying market dynamics.
BTC 6h LS
█ Strategy, How it Works: Detailed Explanation
This is an innovative approach that combines the volatility-based Vegas Channel with the trend-following SuperTrend indicator to create dynamic trading signals. This section delves deeper into the mechanics and mathematical foundations of the strategy.
Detail picture to show :
🔶 Vegas Channel Calculation
The Vegas Channel serves as the foundation of this strategy, employing a simple moving average (SMA) coupled with standard deviation to define the upper and lower bounds of the trading channel. This channel adapts to price movements, offering a visual representation of potential support and resistance levels based on historical price volatility.
🔶 SuperTrend Indicator Adjustment
Central to the strategy is the SuperTrend indicator, which is adjusted according to the width of the Vegas Channel. This adjustment is achieved by modifying the SuperTrend's multiplier based on the channel's volatility, allowing the indicator to become more sensitive during periods of high volatility and less so during quieter market phases.
🔶 Trend Determination and Signal Generation
The market trend is determined by comparing the current price with the SuperTrend values. A shift from below to above the SuperTrend line signals a potential bullish trend, prompting a "buy" signal, whereas a move from above to below indicates a bearish trend, generating a "sell" signal. This methodology ensures that trades are entered in alignment with the prevailing market direction, enhancing the potential for profitability.
BTC 6h Local
█ Trade Direction
A distinctive feature of this strategy is its configurable trade direction input, allowing traders to specify whether they wish to engage in long positions, short positions, or both. This flexibility enables users to tailor the strategy according to their risk tolerance, trading style, and market outlook, providing a personalized trading experience.
█ Usage
To utilize the "Vegas SuperTrend - Enhanced" strategy effectively, traders should first adjust the input settings to align with their trading preferences and the specific characteristics of the asset being traded. Monitoring the strategy's signals within the context of overall market conditions and combining its insights with other forms of analysis can further enhance its effectiveness.
█ Default Settings
- Trade Direction: Both (allows trading in both directions)
- ATR Period for SuperTrend: 10 (determines the length of the ATR for volatility measurement)
- Vegas Window Length: 100 (sets the length of the SMA for the Vegas Channel)
- SuperTrend Multiplier Base: 5 (base multiplier for SuperTrend calculation)
- Volatility Adjustment Factor: 5.0 (adjusts SuperTrend sensitivity based on Vegas Channel width)
These default settings provide a balanced approach suitable for various market conditions but can be adjusted to meet individual trading needs and objectives.
MTF BB+KC Avg
Bollinger Bands (BB) are a widely used technical analysis created by John Bollinger in the early 1980’s. Bollinger Bands consist of a band of three lines which are plotted in relation to instrument prices. The line in the middle is usually a Simple Moving Average (SMA) set to a period of 20 days (The type of trend line and period can be changed by the trader; however a 20 day moving average is by far the most popular). This indicator does not plot the middle line. The Upper and Lower Bands are used as a way to measure volatility by observing the relationship between the Bands and price. Typically the Upper and Lower Bands are set to two standard deviations away from the middle line, however the number of standard deviations can also be adjusted in the indicator.
Keltner Channels (KC) are banded lines similar to Bollinger Bands and Moving Average Envelopes. They consist of an Upper Envelope above a Middle Line (not plotted in this indicator) as well as a Lower Envelope below the Middle Line. The Middle Line is a moving average of price over a user-defined time period. Either a simple moving average or an exponential moving average are typically used. The Upper and Lower Envelopes are set a (user-defined multiple) of a range away from the Middle Line. This can be a multiple of the daily high/low range, or more commonly a multiple of the Average True Range.
This indicator is built on AVERAGING the BB and KC values for each bar, so you have an efficient metric of AVERAGE volatility. The indicator visualizes changes in volatility which is of course dynamic.
What to look for
High/Low Prices
One thing that must be understood about this indicator's plots is that it averages by adding BB levels to KC levels and dividing by 2. So the plots provide a relative definition of high and low from two very popular indicators. Prices are almost always within the upper and lower bands. Therefore, when prices move up near the upper or lower bands or even break through the band, many traders would see that price action as OVER-EXTENDED (either overbought or oversold, as applicable). This would preset a possible selling or buying opportunity.
Cycling Between Expansion and Contraction
Volatility can generally be seen as a cycle. Typically periods of time with low volatility and steady or sideways prices (known as contraction) are followed by period of expansion. Expansion is a period of time characterized by high volatility and moving prices. Periods of expansion are then generally followed by periods of contraction. It is a cycle in which traders can be better prepared to navigate by using Bollinger Bands because of the indicators ability to monitor ever changing volatility.
Walking the Bands
Of course, just like with any indicator, there are exceptions to every rule and plenty of examples where what is expected to happen, does not happen. Previously, it was mentioned that price breaking above the Upper Band or breaking below the Lower band could signify a selling or buying opportunity respectively. However this is not always the case. “Walking the Bands” can occur in either a strong uptrend or a strong downtrend.
During a strong uptrend, there may be repeated instances of price touching or breaking through the Upper Band. Each time that this occurs, it is not a sell signal, it is a result of the overall strength of the move. Likewise during a strong downtrend there may be repeated instances of price touching or breaking through the Lower Band. Each time that this occurs, it is not a buy signal, it is a result of the overall strength of the move.
Keep in mind that instances of “Walking the Bands” will only occur in strong, defined uptrends or downtrends.
Inputs
TimeFrame
You can select any timeframe froom 1 minute to 12 months for the bar measured.
Length of the internal moving averages
You can select the period of time to be used in calculating the moving averages which create the base for the Upper and Lower Bands. 20 days is the default.
Basis MA Type
Determines the type of Moving Average that is applied to the basis plot line. Default is SMA and you can select EMA.
Source
Determines what data from each bar will be used in calculations. Close is the default.
StdDev/Multiplier
The number of Standard Deviations (for BB) or Multiplier (for KC) away from the moving averages that the Upper and Lower Bands should be. 2 is the default value for each indicator.
TTP Intelligent AccumulatorThe intelligent accumulator is a proof of concept strategy. A hybrid between a recurring buy and TA-based entries and exits.
Distribute the amount of equity and add to your position as long as the TA condition is valid.
Use the exit TA condition to define your exit strategy.
Decide between adding only into losing positions to average down or take a riskier approach by allowing to add into a winning position as well.
Take full profit or distribute your exit into multiple take profit exists of the same size.
You can also decide if you allow your exit conditions to close your position in a loss or require a minimum take profit %.
The strategy includes a default built-in TA conditions just for showcasing the idea but the final intent of this script is to delegate the TA entries and exists to external sources.
The internal conditions use RSI length 7 crossing below the BB with std 1 for entries and above for exits.
To control the number of orders use the properties from settings:
- adjust the pyramiding
- adjust the percentage of equity
- make sure that pyramiding * % equity equals 100 to prevent over use of equity (unless using leverage)
The script is designed as an alternative to daily or weekly recurring buys but depending on the accuracy of your TA conditions it might prove profitable also in lower timeframes.
The reason the script is named Intelligent is because recurring buy is most commonly used without any decision making: buy no matter what with certain frequency. This strategy seeks to still perform recurring buys but filtering out some of the potential bad entries that can delay unnecessarily seeing the position in profits. The second reason is also securing an exit strategy from the beginning which no recurring buy option offers out-of-the-box.
Hedge Coin M - Statistical Support and ResistanceHedge Coin M - Statistical Support and Resistance
Introduction
"Hedge Coin M - Statistical Support and Resistance" is a sophisticated, statistically-driven indicator designed specifically for traders in the COIN-M market on Binance. It offers a nuanced approach to identifying key market levels, focusing on the dynamics of support and resistance through advanced volatility analysis.
Foundation and Credits:
This script is an advanced adaptation of TradingView's standard code for the Bollinger Bands indicator. It extends the foundational concept of Bollinger Bands by integrating additional volatility metrics.
Calculation Method
This indicator employs Volume Weighted Moving Averages (VWMA) to create two distinct sets of Bollinger Bands, named BB-a and BB-b.
BB-a is derived from the VWMA of high prices, targeting potential resistance levels.
BB-b is based on the VWMA of low prices, aimed at identifying critical support levels.
Users can independently adjust the standard deviation (SD) multipliers for the upper and lower bands of both BB-a and BB-b, accommodating different market conditions.
Enhanced Volatility Analysis
The indicator calculates additional standard deviation lines for the upper band of BB-a and the lower band of BB-b. These lines provide deeper insights into market volatility.
Plotted Graphs
The primary plots include the upper and lower bands of BB-a and BB-b, marked in distinct colors for clarity.
Additional SD lines are plotted to indicate potential extended levels of support and resistance, offering traders a broader view of possible market movements.
Purpose and Usage
"Hedge Coin M - Statistical Support and Resistance" is designed to provide traders with a consistent, statistical method for identifying significant price levels.
It aids in scaling entry into positions, helping traders to navigate the COIN-M market with more informed decision-making.
This tool is especially useful for traders who combine long-term holding with swing trading strategies, offering a balanced approach to market engagement.
Integration and Adaptation
Easily integrate this indicator into your TradingView chart for the COIN-M market.
Use the insights provided to complement your overall trading strategy, particularly in identifying and reacting to significant market movements.
Disclaimer
Important Note: This indicator is provided for informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other sort of advice. Trading decisions should be made based on your own analysis, prudence, and judgment. Please be aware of the risks involved in trading and consult a financial advisor if necessary.
