Bande e canali
Floating Bands of the Argentine Peso (Sebastian.Waisgold)
The BCRA ( Central Bank of the Argentine Republic ) announced that as of Monday, April 15, 2025, the Argentine Peso (USDARS) will float within a system of divergent exchange rate bands.
The upper band was set at ARS 1400 per USD on 15/04/2025, with a +1% monthly adjustment distributed daily, rising by a fraction each day.
The lower band was set at ARS 1000 per USD on 15/04/2025, with a –1% monthly adjustment distributed daily, falling by a fraction each day.
This indicator is crucial for anyone trading USDARS, since the BCRA will only intervene in these situations:
- Selling : if the Peso depreciates against the USD above the upper band .
- Buying : if the Peso appreciates against the USD below the lower band .
Therefore, this indicator can be used as follows:
- If USDARS is above the upper band , it is “expensive” and you may sell .
- If USDARS is below the lower band , it is “cheap” and you may buy .
It can also be applied to other assets such as:
- USDTARS
- Dollar Cable / CCL (Contado con Liquidación) , derived from the BCBA:YPFD / NYSE:YPF ratio.
A mid band —exactly halfway between the upper and lower bands—has also been added.
Once added, the indicator should look like this:
In the following image you can see:
- Upper Floating Band
- Lower Floating Band
- Mid Floating Band
User Configuration
By double-clicking any line you can adjust:
- Start day (Dia de incio), month (Mes de inicio), and year (Año de inicio)
- Initial upper band value (Valor inicial banda superior)
- Initial lower band value (Valor inicial banda inferior)
- Monthly rate Tasa mensual %)
It is recommended not to modify these settings for the Argentine Peso, as they reflect the BCRA’s official framework. However, you may customize them—and the line colors—for other assets or currencies implementing a similar band scheme.
BB & RSI Trailing Stop StrategySimple BB & RSI generated using AI, gets 60% on S&P 500 with the right settings
Dynamic OHLC levels(Day/Week/Month/6M/Year)+Open MarkerThis indicator automatically displays the Open, High, Low, and Close (OHLC) levels from the previous trading period directly on your chart. It's a versatile tool for identifying key support and resistance zones based on historical price action. The indicator offers a unique "Auto" mode that intelligently selects the most relevant time frame (Daily, Weekly, Monthly, 6M, or Yearly) based on your current chart's time frame. Alternatively, you can choose a specific time frame in "Manual" mode.
The indicator is designed to provide traders with clear visual cues for important price levels, helping them make more informed trading decisions. It's a valuable resource for both intraday and swing traders, as these levels often act as significant psychological barriers and turning points in the market.
Key Benefits 🎯
Identifies Key Levels Instantly: Automatically plots crucial support and resistance levels from the previous session, saving you time and effort.
Adaptable & Versatile: The "Auto" mode intelligently adjusts to your chart's time frame, ensuring you always see the most relevant OHLC levels.
Customizable: You have full control over which levels to display (High, Low, Open, Close), their colors, line styles, and thickness.
Visual Clarity: The option to highlight the area between the previous high and low provides a clear visual representation of the past session's range.
Multi-Session Support: It supports both Regular Trading Hours (RTH) and Extended Trading Hours (ETH), with a configurable timezone, making it globally applicable.
Core Features ✨
Dynamic Timeframe Selection:
Auto Mode: Automatically displays previous Day OHLC on intraday charts (e.g., 1-hour), previous Week OHLC on daily charts, and so on.
Manual Mode: Allows you to explicitly choose between previous Day, Week, Month, 6-Month, or Year OHLC levels.
Customizable Visuals:
Show Previous High: Plots the highest price of the previous period.
Show Previous Low: Plots the lowest price of the previous period.
Show Previous Open: Plots the opening price of the previous period.
Show Previous Close: Plots the closing price of the previous period.
Show Current Open Marker Line: A separate line that marks the open of the current period.
Highlight Area: Fills the space between the previous high and low with a customizable color.
Global Trading Support:
Session Mode: Choose to display levels based on Regular Trading Hours, Extended Hours, or both.
Timezone Selection: Configure the session timezone to align with major markets like New York, London, Tokyo, or Kolkata.
Line Styling: Adjust the line thickness, style (Solid, Dashed, Dotted), and transparency for each level to match your chart's aesthetics.
Labels: Toggle on/off text labels that clearly identify each plotted level (e.g., "PDH" for Previous Day High).
Who is this indicator for? 👤
This indicator is a powerful tool for a wide range of traders looking to incorporate historical price action into their analysis.
Intraday Traders: Can use the previous Daily OHLC levels to identify potential support/resistance for breakouts and reversals during the trading day.
Swing Traders: Can leverage the previous Weekly, Monthly, or Yearly OHLC levels on higher time frames to spot long-term trend continuation or reversal points.
Day Traders: Use the Previous Daily High/Low to frame the day's trading range and identify key levels for potential mean-reversion trades.
Technical Analysts: Those who rely on key levels and price action will find this indicator invaluable for their analysis.
This indicator simplifies a crucial part of technical analysis, providing a clean, customizable, and adaptive way to visualize and trade off of historical price levels.
Weakening Selling Pressure FinderDescription:
This indicator helps traders identify potential trend reversals by detecting when selling pressure is weakening.
It uses the MACD histogram to spot moments when bearish momentum is still present but fading — a condition that often precedes a shift to bullish sentiment.
The indicator:
Highlights points where the MACD histogram is negative but rising
Marks these spots with a 📈 label for easy chart scanning
Works on any crypto pair and timeframe
Traders can use it to:
Spot early reversal setups before the crowd reacts
Time entries for potential trend changes
Complement other indicators like RSI, AO, or price action
This is a momentum shift detection tool — perfect for swing traders, scalpers, or anyone looking for early bullish signals after extended selling pressure.
EMA band 12/60/150/200EMA band consisting of 12/60/150/200
Specifically for Indian stock market, can be used for other trading scripts after testing.
Best use case : on Daily TF.
Bull run entry criteria, Not bear market or Bottom catching.
Keltner Channel Based Grid Strategy # KC Grid Strategy - Keltner Channel Based Grid Trading System
## Strategy Overview
KC Grid Strategy is an innovative grid trading system that combines the power of Keltner Channels with dynamic position sizing to create a mean-reversion trading approach. This strategy automatically adjusts position sizes based on price deviation from the Keltner Channel center line, implementing a systematic grid-based approach that capitalizes on market volatility and price oscillations.
## Core Principles
### Keltner Channel Foundation
The strategy builds upon the Keltner Channel indicator, which consists of:
- **Center Line**: Moving average (EMA or SMA) of the price
- **Upper Band**: Center line + (ATR/TR/Range × Multiplier)
- **Lower Band**: Center line - (ATR/TR/Range × Multiplier)
### Grid Trading Logic
The strategy implements a sophisticated grid system where:
1. **Position Direction**: Inversely correlated to price position within the channel
- When price is above center line → Short positions
- When price is below center line → Long positions
2. **Position Size**: Proportional to distance from center line
- Greater deviation = Larger position size
3. **Grid Activation**: Positions are adjusted only when the difference exceeds a predefined grid threshold
### Mathematical Foundation
The core calculation uses the KC Rate formula:
```
kcRate = (close - ma) / bandWidth
targetPosition = kcRate × maxAmount × (-1)
```
This creates a mean-reversion system where positions increase as price moves further from the mean, expecting eventual return to equilibrium.
## Parameter Guide
### Time Range Settings
- **Start Date**: Beginning of strategy execution period
- **End Date**: End of strategy execution period
### Core Parameters
1. **Number of Grids (NumGrid)**: Default 12
- Controls grid sensitivity and position adjustment frequency
- Higher values = More frequent but smaller adjustments
- Lower values = Less frequent but larger adjustments
2. **Length**: Default 10
- Period for moving average and volatility calculations
- Shorter periods = More responsive to recent price action
- Longer periods = Smoother, less noisy signals
3. **Grid Coefficient (kcRateMult)**: Default 1.33
- Multiplier for channel width calculation
- Higher values = Wider channels, less frequent trades
- Lower values = Narrower channels, more frequent trades
4. **Source**: Default Close
- Price source for calculations (Close, Open, High, Low, etc.)
- Close price typically provides most reliable signals
5. **Use Exponential MA**: Default True
- True = Uses EMA (more responsive to recent prices)
- False = Uses SMA (equal weight to all periods)
6. **Bands Style**: Default "Average True Range"
- **Average True Range**: Smoothed volatility measure (recommended)
- **True Range**: Current bar's volatility only
- **Range**: Simple high-low difference
## How to Use
### Setup Instructions
1. **Apply to Chart**: Add the strategy to your desired timeframe and instrument
2. **Configure Parameters**: Adjust settings based on market characteristics:
- Volatile markets: Increase Grid Coefficient, reduce Number of Grids
- Stable markets: Decrease Grid Coefficient, increase Number of Grids
3. **Set Time Range**: Define your backtesting or live trading period
4. **Monitor Performance**: Watch strategy performance metrics and adjust as needed
### Optimal Market Conditions
- **Range-bound markets**: Strategy performs best in sideways trending markets
- **High volatility**: Benefits from frequent price oscillations around the mean
- **Liquid instruments**: Ensures efficient order execution and minimal slippage
### Position Management
The strategy automatically:
- Calculates optimal position sizes based on account equity
- Adjusts positions incrementally as price moves through grid levels
- Maintains risk control through maximum position limits
- Executes trades only during specified time periods
## Risk Warnings
### ⚠️ Important Risk Considerations
1. **Trending Market Risk**:
- Strategy may underperform or generate losses in strong trending markets
- Mean-reversion assumption may fail during sustained directional moves
- Consider market regime analysis before deployment
2. **Leverage and Position Size Risk**:
- Strategy uses pyramiding (up to 20 positions)
- Large positions may accumulate during extended moves
- Monitor account equity and margin requirements closely
3. **Volatility Risk**:
- Sudden volatility spikes may trigger multiple rapid position adjustments
- Consider volatility filters during high-impact news events
- Backtest across different volatility regimes
4. **Execution Risk**:
- Strategy calculates on every tick (calc_on_every_tick = true)
- May generate frequent orders in volatile conditions
- Ensure adequate execution infrastructure and consider transaction costs
5. **Parameter Sensitivity**:
- Performance highly dependent on parameter optimization
- Over-optimization may lead to curve-fitting
- Regular parameter review and adjustment may be necessary
## Suitable Scenarios
### Ideal Market Conditions
- **Sideways/Range-bound markets**: Primary use case
- **Mean-reverting instruments**: Forex pairs, some commodities
- **Stable volatility environments**: Consistent ATR patterns
- **Liquid markets**: Major currency pairs, popular stocks/indices
## Important Notes
### Strategy Limitations
1. **No Stop Loss**: Strategy relies on mean reversion without traditional stop losses
2. **Capital Requirements**: Requires sufficient capital for grid-based position sizing
3. **Market Regime Dependency**: Performance varies significantly across different market conditions
## Disclaimer
This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Users should thoroughly test the strategy and understand its mechanics before risking real capital. The author assumes no responsibility for trading losses incurred through the use of this strategy.
---
# KC网格策略 - 基于肯特纳通道的网格交易系统
## 策略概述
KC网格策略是一个创新的网格交易系统，它将肯特纳通道的力量与动态仓位调整相结合，创建了一个均值回归交易方法。该策略根据价格偏离肯特纳通道中心线的程度自动调整仓位大小，实施系统化的网格方法，利用市场波动和价格振荡获利。
## 核心原理
### 肯特纳通道基础
该策略建立在肯特纳通道指标之上，包含：
- **中心线**: 价格的移动平均线（EMA或SMA）
- **上轨**: 中心线 + (ATR/TR/Range × 乘数)
- **下轨**: 中心线 - (ATR/TR/Range × 乘数)
### 网格交易逻辑
该策略实施复杂的网格系统：
1. **仓位方向**: 与价格在通道中的位置呈反向关系
- 当价格高于中心线时 → 空头仓位
- 当价格低于中心线时 → 多头仓位
2. **仓位大小**: 与距离中心线的距离成正比
- 偏离越大 = 仓位越大
3. **网格激活**: 只有当差异超过预定义的网格阈值时才调整仓位
### 数学基础
核心计算使用KC比率公式：
```
kcRate = (close - ma) / bandWidth
targetPosition = kcRate × maxAmount × (-1)
```
这创建了一个均值回归系统，当价格偏离均值越远时仓位越大，期望最终回归均衡。
## 参数说明
### 时间范围设置
- **开始日期**: 策略执行期间的开始时间
- **结束日期**: 策略执行期间的结束时间
### 核心参数
1. **网格数量 (NumGrid)**: 默认12
- 控制网格敏感度和仓位调整频率
- 较高值 = 更频繁但较小的调整
- 较低值 = 较少频繁但较大的调整
2. **长度**: 默认10
- 移动平均线和波动率计算的周期
- 较短周期 = 对近期价格行为更敏感
- 较长周期 = 更平滑，噪音更少的信号
3. **网格系数 (kcRateMult)**: 默认1.33
- 通道宽度计算的乘数
- 较高值 = 更宽的通道，较少频繁的交易
- 较低值 = 更窄的通道，更频繁的交易
4. **数据源**: 默认收盘价
- 计算的价格来源（收盘价、开盘价、最高价、最低价等）
- 收盘价通常提供最可靠的信号
5. **使用指数移动平均**: 默认True
- True = 使用EMA（对近期价格更敏感）
- False = 使用SMA（对所有周期等权重）
6. **通道样式**: 默认"平均真实范围"
- **平均真实范围**: 平滑的波动率测量（推荐）
- **真实范围**: 仅当前K线的波动率
- **范围**: 简单的高低价差
## 使用方法
### 设置说明
1. **应用到图表**: 将策略添加到您所需的时间框架和交易品种
2. **配置参数**: 根据市场特征调整设置：
- 波动市场：增加网格系数，减少网格数量
- 稳定市场：减少网格系数，增加网格数量
3. **设置时间范围**: 定义您的回测或实盘交易期间
4. **监控表现**: 观察策略表现指标并根据需要调整
### 最佳市场条件
- **区间震荡市场**: 策略在横盘趋势市场中表现最佳
- **高波动性**: 受益于围绕均值的频繁价格振荡
- **流动性强的品种**: 确保高效的订单执行和最小滑点
### 仓位管理
策略自动：
- 根据账户权益计算最优仓位大小
- 随着价格在网格水平移动逐步调整仓位
- 通过最大仓位限制维持风险控制
- 仅在指定时间段内执行交易
## 风险警示
### ⚠️ 重要风险考虑
1. **趋势市场风险**:
- 策略在强趋势市场中可能表现不佳或产生损失
- 在持续方向性移动期间均值回归假设可能失效
- 部署前考虑市场制度分析
2. **杠杆和仓位大小风险**:
- 策略使用金字塔加仓（最多20个仓位）
- 在延长移动期间可能积累大仓位
- 密切监控账户权益和保证金要求
3. **波动性风险**:
- 突然的波动性激增可能触发多次快速仓位调整
- 在高影响新闻事件期间考虑波动性过滤器
- 在不同波动性制度下进行回测
4. **执行风险**:
- 策略在每个tick上计算（calc_on_every_tick = true）
- 在波动条件下可能产生频繁订单
- 确保充足的执行基础设施并考虑交易成本
5. **参数敏感性**:
- 表现高度依赖于参数优化
- 过度优化可能导致曲线拟合
- 可能需要定期参数审查和调整
## 适用场景
### 理想市场条件
- **横盘/区间震荡市场**: 主要用例
- **均值回归品种**: 外汇对，某些商品
- **稳定波动性环境**: 一致的ATR模式
- **流动性市场**: 主要货币对，热门股票/指数
## 注意事项
### 策略限制
1. **无止损**: 策略依赖均值回归而无传统止损
2. **资金要求**: 需要充足资金进行基于网格的仓位调整
3. **市场制度依赖性**: 在不同市场条件下表现差异显著
## 免责声明
该策略仅供教育和研究目的。过往表现不保证未来结果。交易涉及重大损失风险，并非适合所有投资者。用户应在投入真实资金前彻底测试策略并理解其机制。作者对使用此策略产生的交易损失不承担任何责任。
---
**Strategy Version**: Pine Script v6
**Author**: Signal2Trade
**Last Updated**: 2025-8-9
**License**: Open Source (Mozilla Public License 2.0)
BuySell-byALHELWANI🔱 BuySell-byALHELWANI | مؤشر التغيرات الاتجاهية الذكية
BuySell-byALHELWANI هو مؤشر احترافي متقدّم يرصد نقاط الانعكاس الحقيقية في حركة السوق، باستخدام خوارزمية تعتمد على تحليل القمم والقيعان الهيكلية للسعر (Structure-Based Detection) وليس على مؤشرات تقليدية.
المؤشر مبني على مكتبة signalLib_yashgode9 القوية، مع تخصيص كامل لأسلوب العرض والتنبيهات.
⚙️ ما يقدمه المؤشر:
🔹 إشارات واضحة للشراء والبيع تعتمد على كسر هيكل السوق.
🔹 تخصيص مرن للعمق والانحراف وخطوات التراجع (Backstep) لتحديد الدقة المطلوبة.
🔹 علامات ذكية (Labels) تظهر مباشرة على الشارت عند كل نقطة قرار.
🔹 تنبيهات تلقائية فورية عند كل تغير في الاتجاه (Buy / Sell).
🧠 الآلية المستخدمة:
DEPTH_ENGINE: يتحكم في مدى عمق النظر لحركة السعر.
DEVIATION_ENGINE: يحدد المسافة المطلوبة لتأكيد نقطة الانعكاس.
BACKSTEP_ENGINE: يضمن أن كل إشارة تستند إلى تغير هيكلي حقيقي في الاتجاه.
📌 المميزات:
✅ لا يعيد الرسم (No Repaint)
✅ يعمل على كل الأطر الزمنية وكل الأسواق (فوركس، مؤشرات، كريبتو، أسهم)
✅ تصميم بصري مرن (ألوان، حجم، شفافية)
✅ يدعم الاستخدام في السكالبينغ والسوينغ
ملاحظة:
المؤشر لا يعطي إشارات عشوائية، بل يستند إلى منطق السعر الحقيقي عبر تتبع التغيرات الحركية للسوق.
يُفضّل استخدامه مع خطة تداول واضحة وإدارة رأس مال صارمة.
🔱 BuySell-byALHELWANI | Smart Reversal Detection Indicator
BuySell-byALHELWANI is a high-precision, structure-based reversal indicator designed to identify true directional shifts in the market. Unlike traditional indicators, it doesn't rely on lagging oscillators but uses real-time swing analysis to detect institutional-level pivot points.
Powered by the robust signalLib_yashgode9, this tool is optimized for traders who seek clarity, timing, and strategic control.
⚙️ Core Engine Features:
🔹 Accurate Buy/Sell signals generated from structural highs and lows.
🔹 Adjustable sensitivity using:
DEPTH_ENGINE: Defines how deep the algorithm looks into past swings.
DEVIATION_ENGINE: Sets the deviation required to confirm a structural change.
BACKSTEP_ENGINE: Controls how many bars are validated before confirming a pivot.
🧠 What It Does:
🚩 Detects market structure shifts and confirms them visually.
🏷️ Plots clear Buy-point / Sell-point labels directly on the chart.
🔔 Sends real-time alerts when a directional change is confirmed.
🎯 No repainting – what you see is reliable and final.
✅ Key Benefits:
Works on all timeframes and all asset classes (FX, crypto, indices, stocks).
Fully customizable: colors, label size, transparency.
Ideal for scalping, swing trading, and strategy automation.
High visual clarity with minimal noise.
🔐 Note:
This script is designed for serious traders.
It highlights real market intent, especially when used with trendlines, zones, and volume analysis.
Pair it with disciplined risk management for best results.
_mr_beach Sunday Entwicklung Version 1_mr_beach Sunday Development Version 1
Short Description (for TradingView publication):
This indicator combines EMA crossovers, VWAP with standard deviation bands, gap detection, pivot-based support & resistance, and VWAP distance labels in a single overlay. Perfect for discretionary traders aiming to efficiently identify gap fills, trend reversals, and key price levels. All components can be toggled on/off via the settings menu.
Full Indicator Description:
🧠 Purpose of the Indicator:
This all-in-one tool merges several analytical features to visualize trend direction, market structure, key price levels (e.g., gaps, VWAP distance, pivot support), and entry signals at a glance.
🔧 Integrated Features:
EMA20 / EMA50: Trend detection via moving averages. Crossover signals indicate potential entries.
VWAP + Band: Volume-weighted average price with visual deviation bands.
GAP-Up / GAP-Down: Price gaps are highlighted in color (brown/yellow), optionally showing only open ones.
VWAP Distance Label: Displays the current price’s percentage deviation from the VWAP as a chart label.
Buy/Sell Signals: Triggered by EMA20 and EMA50 crossovers.
HH/LL SL-Marker: Identifies local highs/lows using pivots.
Support & Resistance: Automatically calculated pivot zones.
Customizable Visibility: All features can be toggled in the settings menu.
Dummy Plot: plot(na) ensures error-free compilation.
⚙️ Settings Menu Options:
Show VWAP: Displays VWAP and deviation bands.
Show EMA20 / EMA50: Shows the moving averages.
Show Gaps: Enables gap detection.
Show Only Open Gaps: Hides already filled gaps.
Show VWAP Distance: Activates VWAP deviation label.
Support & Resistance: Displays pivot-based zones as support/resistance.
🔔 Alerts:
‘Mads Morningstar Signal’: Buy/Sell alerts based on EMA crossover.
📈 Use Cases:
Trend-following setups using EMA crossover
Gap-fill trading strategies
VWAP reversion trades
SL/TP based on HH/LL or pivot levels
Visual chart preparation for scalping, intraday, or swing trading
🛠 Suggested Extensions:
Gap table showing open levels
Take-Profit/Stop-Loss strategy
Alerts for new gap formation
Strategy tester module with gap-based entries
趋势策略(实验版)此指标通过EMA趋势确认、加仓信号及Vegas通道，提供清晰的市场趋势指引，帮助交易者捕捉关键转折点和波动范围。
Trend Crossover + Position Add Signals (Optimized + Background + Vegas Channel)
This indicator combines EMA trend confirmation, position add signals, and the Vegas channel to provide clear market trend guidance, helping traders capture key turning points and volatility ranges.
Kalman Supertrend (High vs Low) Bands by Skyito V2Inspired by BackQuant's Kalman Hull Supertrend, this upgraded version replaces the typical Kalman-close method with Kalman-filtered High and Low sources. This approach provides clearer trend visualization and helps confirm potential breakouts or reversals using clean, directional candle signals.
The core logic revolves around BB (Band Buy) and SS (Band Sell) signals:
BB appears only when a candle fully breaks above both Kalman High and Low bands.
SS appears when a candle fully breaks below both bands.
These clean triggers help avoid false signals and are excellent for capturing high-probability trend shifts.
✅ The Supertrend line is also included and can be toggled on or off — useful for those who prefer early trend detection or confirmation.
🆕 Why the SMA Band was Included
To complement the Kalman band system, a Moving Average Band (default: SMA 200) is added:
It helps detect the long-term trend direction.
Candles are colored green when above the SMA band and red when below.
This visual cue strengthens trend confidence and adds an extra layer for filtering trades.
The MA band and coloring can be turned on or off based on preference.
This tool is built for traders who want a clean trend-following and breakout confirmation system. It can be used as a standalone strategy or paired with price action, volume, or support/resistance tools.
Swing Anchored Vwap [BigBeluga]🔵 OVERVIEW
Swing Anchored Vwap tracks the market’s directional behavior by anchoring VWAPs (Volume Weighted Average Price) to dynamically detected swing highs and lows. It visually distinguishes the active swing VWAP from historical ones—offering traders a clean view of trend-aligned value zones with clearly marked inflection points.
🔵 CONCEPTS
Swing Anchored VWAPs: VWAPs are initiated from recent swing highs during downtrends and swing lows during uptrends.
Trend Detection: The indicator identifies trend shifts based on the breaking of recent highest or lowest price value.
Trend-Based Coloring:
• Green VWAPs: are drawn from swing lows in uptrends.
• Blue VWAPs: are drawn from swing highs in downtrends.
Sensitivity Control: The Length input defines how far back the script looks to determine swing points—shorter lengths make it more reactive.
🔵 FEATURES
Real-time VWAP projection from the current swing point, updated live.
Historical VWAP traces with slightly faded color to emphasize the current active one.
Swing markers automatically placed on highs/lows where VWAPs are anchored.
Label with price value at the end of each active VWAP line for clarity.
Adaptive color scheme that visually separates uptrend/downtrend zones.
🔵 HOW TO USE
Use active VWAP as a dynamic support/resistance guide during ongoing trends.
Observe breaks or rejections around these VWAPs for trend continuation or reversal clues .
Compare current price position relative to swing VWAPs to assess trend maturity and extension .
Combine with volume analysis or structure to increase conviction at swing points.
🔵 CONCLUSION
Swing Anchored Vwap merges the logic of anchored VWAPs and swing structure into a responsive visual tool. It helps traders stay aligned with the current trend while offering historical context via previous value anchors—ideal for intraday to swing-level analysis.
RSI + MACD + EMA Buy/Sell ComboRSI + MACD + EMA Buy/Sell Combo with signals if all 2 lines up it will create buy and cell signals
Turtle Trading System IndicatorKey Features & Components
Donchian Channels
The core of the indicator is the Donchian Channel, represented by the upper and lower blue bands.
Upper Channel: The highest price over a user-defined period.
Lower Channel: The lowest price over the same period.
Middle Line: The midpoint between the upper and lower channels.
These channels are used to identify potential breakouts, which form the basis for trade entries.
Trading Signals
The script automatically generates clear, non-repainting signals for potential trades:
Long Entry (Green ▲): A green upward-facing triangle appears below the candle when the closing price breaks above the upper Donchian channel, signaling the start of a potential uptrend.
Short Entry (Red ▼): A red downward-facing triangle appears above the candle when the closing price breaks below the lower Donchian channel, signaling the start of a potential downtrend.
Long Exit (Green X): A green cross appears above the candle when the price crosses below the middle line, suggesting the uptrend is weakening.
Short Exit (Orange X): An orange cross appears below the candle when the price crosses above the middle line, suggesting the downtrend is losing momentum.
Integrated Risk Management
A crucial element of the Turtle strategy is disciplined risk management, which is built into this indicator.
Volatility-Based Position Sizing
You can enable position sizing that adapts to market volatility using the Average True Range (ATR). When an entry signal occurs, a label appears showing a calculated position size unit. The formula aims to normalize risk, meaning you would trade smaller sizes in volatile markets and larger sizes in calmer markets. The formula used is:
Volatility Unit=
100
Risk %
×
4×ATR
Close Price
Dynamic Stop Loss
Upon a long or short entry, a stop-loss level is plotted on the chart as red circles. This level is calculated based on the ATR, automatically adjusting to the market's current volatility to provide a data-driven exit point for managing losses. It is calculated as:
Long Stop: Close Price - 1.8 * ATR
Short Stop: Close Price + 1.8 * ATR
On-Chart Information Panel
A convenient table is displayed in the bottom-right corner of the chart, showing the current ATR value and the calculated Position Size unit for quick and easy reference.
Customizable Settings
You can tailor the indicator to your specific strategy and risk tolerance:
Donchian Channel Period: Sets the lookback period for the channels. The default is 20. Shorter periods will be more sensitive and generate more signals.
ATR Period: Sets the lookback period for the Average True Range calculation, affecting both position size and stop-loss levels. The default is 14.
Risk Percentage: The percentage of equity you wish to risk per trade. This directly influences the position size calculation.
Use Volatility Position Sizing: A simple checkbox to turn the ATR-based position sizing on or off.
Kalman Supertrend (High vs Low) Bands Inspired by BackQuant, this script modifies the original Kalman Hull Supertrend by replacing the close price with High and Low sources. This creates clearer trend definition and better trend tracking.
This is one of the best trend indicators that can be used for trend trading or to capture reversals with high clarity.
Key Features:
Kalman High/Low Bands — Smooths market noise while separating bullish and bearish zones.
BB & SS Alerts — Triggered only when the entire candle closes outside both bands, helping filter out false breakouts.
Supertrend (optional) — Can be toggled on/off to monitor potential short-term or early trend shifts.
Customizable Display — Show/hide bands, fills, and live candle coloring for chart clarity.
Reversal Insight:
For 4H and Daily charts, reversal signals appear to be quite accurate when the price retests the trend bands before continuing the move.
How to Use:
BB appears when a candle fully closes above both High/Low Kalman bands — possible bullish breakout.
SS appears when a candle fully closes below both bands — possible bearish breakdown.
Supertrend toggle can confirm shorter-term moves or early reversals.
Credit to the original script BackQuant
Multi-Length Quad Bollinger BandsHere is a Pine Script code for TradingView that plots four separate Bollinger Bands on your chart. The lengths are preset to 14, 50, 100, and 200, but every aspect—including lengths, standard deviations, colors, and the source price—is fully customizable through the script's settings menu.
The 14 and 50-period bands are enabled by default, while the 100 and 200-period bands are disabled to keep the chart clean initially. You can easily toggle any of them on or off.
BBMA OA - AI GPT-5This indicator is an AI-assisted implementation of the BBMA OA (Bollinger Bands + Moving Average) trading strategy, originally introduced by Malaysian trader Oma Ally. The code was generated and optimized using the GPT-5 AI model to ensure clean Pine Script v6 structure and compatibility.
The system combines Bollinger Bands (20, 2) with EMA50, EMA200, and MA5/10 High-Low to identify the four main BBMA OA patterns:
Extreme
Market Hilang Volume (MHV)
Candle Arah Kukuh (CSAK)
Re-entry (RRE, REE, REM)
Features:
Multi Time Frame confirmation for higher accuracy
Automatic signal detection with visual markers
Trend ribbon and candle coloring
Optimized Pine Script v6, free from errors/warnings
⚠ This is an adaptation of Oma Ally’s concept for educational purposes, not an official version. Past performance does not guarantee future results.
