Moving Average Deviation Rate with MA TypeJapanese below / 日本語説明は下記
This indicator displays moving average deviation rate with the ability to select moving average type with signals and alerts.
Price and moving average have the characteristics that when the price moves away from the moving average, it moves back to the moving average.
Example:
In the chart below, when the deviation rate increases to 2%(green circle), price momentum gradually decreases and it moves back to the moving average.
Taking advantage of this characteristic, traders can make decisions to take profit and/or take contrarian trades.
Signals can be displayed either on main chart or sub chart when the deviation rate crosses over/under upper/lower band.
Alert can be set with the same condition as the signals.
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移動平均線乖離率を表示することのできるインジケーターです。
移動平均線タイプを選択できる他、乖離率とアッパーバンド/ロワーバンドとのクロスでシグナルを表示することができます。
価格と移動平均線には、価格が移動平均線から乖離すると、再び移動平均線まで戻ってくるという特徴があります。
この特徴を利用することで、トレーダーは利益確定のタイミングや逆張りでポジションを取るタイミングを図ることができます。
例
以下のチャートでは乖離率が2%付近(黄緑の丸)まで上昇すると、価格の上昇の勢いが衰えて再び移動平均線まで戻っていることが確認できます。
乖離率とアッパーバンド/ロワーバンドがクロスした時に、メインチャートまたはサブチャートのいずれかにシグナルを表示することが可能です。
また、同じ条件でアラートを設定することもできます。
"take profit" için komut dosyalarını ara
Volatility Pulse with Dynamic ExitVolatility Pulse with Dynamic Exit
Overview
This strategy, Volatility Pulse with Dynamic Exit, is designed to capture impulsive price moves following volatility expansions, while ensuring risk is managed dynamically. It avoids trades during low-volatility periods and uses momentum confirmation to enter positions. Additionally, it features a time-based forced exit system to limit overexposure.
How It Works
A position is opened when the current ATR (Average True Range) significantly exceeds its 20-period average, signaling a volatility expansion.
To confirm the move is directional and not random noise, the strategy checks for momentum: the close must be above/below the close of 20 bars ago.
Low volatility zones are filtered out to avoid chop and poor trade entries.
Upon entry, a dynamic stop-loss is set at 1x ATR, while take-profit is set at 2x ATR, offering a 2:1 reward-to-risk ratio.
If the position remains open for more than 42 bars, it is forcefully closed, even if targets are not hit. This prevents long-lasting, stagnant trades.
Key Features
✅ Volatility-based breakout detection
✅ Momentum confirmation filter
✅ Dynamic stop-loss and take-profit based on real-time ATR
✅ Time-based forced exit (42 bars max holding)
✅ Low-volatility environment filter
✅ Realistic settings with 0.05% commission and slippage included
Parameters Explanation
ATR Length (14): Captures recent volatility over ~2 weeks (14 candles).
Momentum Lookback (20): Ensures meaningful price move confirmation.
Volatility Expansion Threshold (0.5x): Strategy activates only when ATR is at least 50% above its average.
Minimum ATR Filter (1.0x): Avoids entries in tight, compressed market ranges.
Max Holding (42 bars): Trades are closed after 42 bars if no exit signal is triggered.
Risk-Reward (2.0x): Aiming for 2x ATR as profit for every 1x ATR risk.
Originality Note
While volatility and momentum have been used separately in many strategies, this script combines both with a time-based dynamic exit system. This exit rule, combined with an ATR-based filter to exclude low-activity periods, gives the system a practical edge in real-world use. It avoids classic rehashes and integrates real trading constraints for better applicability.
Disclaimer
This is a research-focused trading strategy meant for backtesting and educational purposes. Always use proper risk management and perform due diligence before applying to real funds.
Range Filter Strategy with ATR TP/SLHow This Strategy Works:
Range Filter:
Calculates a smoothed average (SMA) of price
Creates upper and lower bands based on standard deviation
When price crosses above upper band, it signals a potential uptrend
When price crosses below lower band, it signals a potential downtrend
ATR-Based Risk Management:
Uses Average True Range (ATR) to set dynamic take profit and stop loss levels
Take profit is set at entry price + (ATR × multiplier) for long positions
Stop loss is set at entry price - (ATR × multiplier) for long positions
The opposite applies for short positions
Input Parameters:
Adjustable range filter length and multiplier
Customizable ATR length and TP/SL multipliers
All parameters can be optimized in TradingView's strategy tester
You can adjust the input parameters to fit your trading style and the specific market you're trading. The ATR-based exits help adapt to current market volatility.
15-Min ORB Strategy with TP/SL
🔧 How It Works
Opening Range Defined
At market open, it tracks the first 15-minute candle.
The high and low of that candle form the Opening Range.
Breakout Detection
A Buy Signal is triggered when price closes above the ORB high (with confirmation).
A Sell Signal is triggered when price closes below the ORB low.
Trade Management
On a confirmed breakout, the script:
Records the entry price.
Calculates Take Profit (TP) and Stop Loss (SL) using user-defined multipliers of the ORB range.
Positions are exited when either TP or SL is hit.
State Tracking
It tracks whether you're in a trade and whether it’s a long or short.
Once exited, the trade resets and waits for a new signal the next session.
📌 Visual Elements
Green line: ORB High
Red line: ORB Low
Blue line: Active Take Profit (if in trade)
Orange line: Active Stop Loss (if in trade)
Buy/Sell Labels: Signal markers below/above candles for clear entry visibility
⚙️ Customizable Inputs
Take Profit Multiplier (default 1.5× ORB range)
Stop Loss Multiplier (default 1.0× ORB range)
Session Start/End time for ORB definition
✅ Ideal For:
Traders who want clean, rule-based signals with no indicators
Quick intraday setups using price action only
Adaptation to almost any liquid market (just adjust session times)
Volume and Volatility Ratio Indicator-WODI策略名称
交易量与波动率比例策略-WODI
一、用户自定义参数
vol_length：交易量均线长度，计算基础交易量活跃度。
index_short_length / index_long_length：指数短期与长期均线长度，用于捕捉中短期与中长期趋势。
index_magnification：敏感度放大倍数，调整指数均线的灵敏度。
index_threshold_magnification：阈值放大因子，用于动态过滤噪音。
lookback_bars：形态检测回溯K线根数，用于捕捉反转模式。
fib_tp_ratio / fib_sl_ratio：斐波那契止盈与止损比率，分别对应黄金分割（0.618/0.382 等）级别。
enable_reversal：反转信号开关，开启后将原有做空信号反向为做多信号，用于单边趋势加仓。
二、核心计算逻辑
交易量百分比
使用 ta.sma 计算 vol_ma，并得到 vol_percent = volume / vol_ma * 100。
价格波动率
volatility = (high – low) / close * 100。
构建复合指数
volatility_index = vol_percent * volatility，并分别计算其短期与长期均线（乘以 index_magnification）。
动态阈值
index_threshold = index_long_ma * index_threshold_magnification，过滤常规波动。
三、信号生成与策略执行
做多/做空信号
当短期指数均线自下而上突破长期均线，且 volatility_index 突破 index_threshold 时，发出做多信号。
当短期指数均线自上而下跌破长期均线，且 volatility_index 跌破 index_threshold 时，发出做空信号。
反转信号模式（可选）
若 enable_reversal = true，则所有做空信号反向为做多，用于在强趋势行情中加仓。
止盈止损管理
进场后自动设置斐波那契止盈位（基于入场价 × fib_tp_ratio）和止损位（入场价 × fib_sl_ratio）。
支持多级止盈：可依次以 0.382、0.618 等黄金分割比率分批平仓。
四、图表展示
策略信号标记：图上用箭头标明每次做多/做空（或反转加仓）信号。
斐波那契区间：在K线图中显示止盈/止损水平线。
复合指数与阈值线：与原版相同，在独立窗口绘制短、长期指数均线、指数曲线及阈值。
量能柱状：高于均线时染色，反转模式时额外高亮。
Strategy Name
Volume and Volatility Ratio Strategy – WODI
1. User-Defined Parameters
vol_length: Length for volume SMA.
index_short_length / index_long_length: Short and long MA lengths for the composite index.
index_magnification: Sensitivity multiplier for index MAs.
index_threshold_magnification: Threshold multiplier to filter noise.
lookback_bars: Number of bars to look back for pattern detection.
fib_tp_ratio / fib_sl_ratio: Fibonacci take-profit and stop-loss ratios (e.g. 0.618, 0.382).
enable_reversal: Toggle for reversal mode; flips short signals to long for trend-following add-on entries.
2. Core Calculation
Volume Percentage:
vol_ma = ta.sma(volume, vol_length)
vol_percent = volume / vol_ma * 100
Volatility:
volatility = (high – low) / close * 100
Composite Index:
volatility_index = vol_percent * volatility
Short/long MAs applied and scaled by index_magnification.
Dynamic Threshold:
index_threshold = index_long_ma * index_threshold_magnification.
3. Signal Generation & Execution
Long/Short Entries:
Long when short MA crosses above long MA and volatility_index > index_threshold.
Short when short MA crosses below long MA and volatility_index < index_threshold.
Reversal Mode (optional):
If enable_reversal is on, invert all short entries to long to scale into trending moves.
Fibonacci Take-Profit & Stop-Loss:
Automatically set TP/SL levels at entry price × respective Fibonacci ratios.
Supports multi-stage exits at 0.382, 0.618, etc.
4. Visualization
Signal Arrows: Marks every long/short or reversal-add signal on the chart.
Fibonacci Zones: Plots TP/SL lines on the price panel.
Index & Threshold: Same as v1.0, with MAs, index curve, and threshold in a separate sub-window.
Volume Bars: Colored when above vol_ma; extra highlight if a reversal-add signal triggers
Mimas buy and sellBollinger Bands: Calculated using a simple moving average (basis) and standard deviation (dev).
EMAs: Two exponential moving averages (EMA 5 and EMA 20) are plotted to identify short-term and long-term trends.
Price Action Patterns: The script detects higher highs and higher lows for bullish conditions, and lower highs and lower lows for bearish conditions.
Trend Strength: An exponential moving average of the price change is used to gauge the strength of the trend.
Trade Signals: Buy and sell signals are plotted on the chart when specific conditions are met, combining price action patterns, trend strength, Bollinger Bands, and EMA crossovers.
Take-Profit Levels: Dynamic take-profit levels are calculated based on recent swing highs and lows, adjusted by a user-defined multiplier. These levels are displayed on the chart using plot to draw horizontal lines.
Liquidity Grab Strategy (Volume Trap)🧠 Strategy Logic:
Liquidity Grab Detection:
The script looks for a sharp drop in price (bearish engulfing or breakdown candle).
However, volume remains flat (within 5% of the 20-period moving average), suggesting the move is manipulated, not genuine.
Fair Value Gap Confirmation (FVG):
It confirms that a Fair Value Gap exists — a gap between recent candle bodies that price is likely to retrace into.
This gap represents a high-probability entry zone.
Trade Setup:
A limit BUY order is placed at the base of the FVG.
Stop Loss (SL) is placed below the gap.
Take Profit (TP) is placed at the most recent swing high.
📈 How to Use It:
Add the strategy to your TradingView chart (1–5 min or 15 min works well for intraday setups).
Look for green BUY labels and plotted lines:
💚 Green = Entry price
🔴 Red = Stop loss
🔵 Blue = Take profit
The script will automatically simulate entries when conditions are met and exit either at TP or SL.
Use TradingView’s Strategy Tester to review:
Win rate
Net profit
Risk-adjusted performance
Horizontal ATR LinesDisclaimer:
This script was generated using OpenAI’s ChatGPT. I take no responsibility for the correctness, performance, or financial impact of this indicator. Use it at your own risk and discretion.
This indicator draws horizontal ATR-based levels from the last closed candle on a user-selected timeframe. It is designed for traders who want to visualize realistic volatility zones for setting dynamic support/resistance, take-profit, or stop-loss levels.
What it does:
Calculates the Average True Range (ATR) using a customizable period and timeframe.
Plots four horizontal lines:
+1 ATR and –1 ATR from the last closed candle’s close
+X ATR and –X ATR, where X is a second custom multiplier
Each level includes a compact label showing:
The price of the level
The percentage distance from the close price
Use cases:
Identify realistic intraday or swing price movement boundaries
Build volatility-aware take-profit and stop-loss zones
Visually track market compression or expansion in context
Customization:
ATR period and timeframe
Two independent ATR multipliers
Custom color settings for each group of levels
VIX Z-Score (Inverted)📘 Indicator: VIX Z-Score (Inverted) + Table
🔍 Overview
This indicator calculates the Z-Score of the VIX (Volatility Index) and inverts it to identify potential buying opportunities during periods of fear and caution during periods of extreme optimism. The Z-Score is smoothed and visually displayed alongside a dynamic info table.
⚙️ How It Works
VIX Data: The VIX (ticker: CBOE:VIX) is pulled in real time.
Z-Score Calculation:
𝑍
=
(
𝑉
𝐼
𝑋
−
mean
)
standard deviation
Z=
standard deviation
(VIX−mean)
Over a customizable lookback period (default: 50).
Inversion:
Since high VIX usually means fear (often a contrarian buying signal), we invert the Z-Score:
𝑍
inv
=
−
𝑍
Z
inv
=−Z
Smoothing:
An EMA is applied to reduce noise and false signals.
Clamping:
The Z-Score is linearly scaled and capped between +2 and -2 for easy visualization in the info table.
📊 Z-Score Table (Top-Right)
Range Interpretation Table Color
+1.5 to +2 Extreme fear → Buy zone 🟩 Green
+0.5 to +1.5 Moderate fear 🟨 Lime
–0.5 to +0.5 Neutral ⬜ Gray
–0.5 to –1.5 Growing complacency 🟧 Orange
–1.5 to –2 Extreme optimism → Caution 🟥 Red
The current Z-Score (clamped version) is shown in real time on the right-hand info panel.
🧠 How to Use It
+2 Zone (Table: Green):
Market fear is at an extreme. Historically, such conditions are contrarian bullish—possible entry zones.
–2 Zone (Table: Red):
Indicates extreme optimism and low fear. Often a signal to be cautious or take profits.
Middle range (±0.5):
Market is neutral. Avoid major decisions based solely on sentiment here.
🧪 Best Practices
Combine with price action, volume, or trend filters.
Works well on daily or 4H timeframes.
Not a standalone signal—best used to confirm or fade sentiment extremes.
Smart FlexRange Breakout [The_lurker]The Smart FlexRange Breakout tool aims to identify trading opportunities based on price breakouts of dynamic levels (CALL, PUT) with a dotted centerline and the ability to select the applicable market. The tool relies on candlestick analysis over a specific time period (such as 3 hours). Candle data (searchHours) is collected to identify the most significant candle based on candlestick patterns and trading volume during the selected timeframe. Breakout levels and take-profit (TP) targets are then plotted, along with buy and sell signals, breakout notifications, and up/down trend lines based on Pivot Points.
The tool is run according to the selected timeframe.
Practical Use
1- Setup: Adjust the market, timeframe, number of hours, and time zone to suit the trader's needs.
2- Trading: Monitor signals (BUY/SELL) and TP levels to determine entry and exit points.
3- Trend Lines: Use them to understand the overall trend and confirm signals.
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1. Objective: Identify trading opportunities based on price breakouts
- Trading opportunities: The indicator is designed to help traders identify moments when significant price movements are likely, allowing them to enter buy or sell trades based on market changes.
- Price breakouts: The indicator focuses on moments when prices break through key levels (resistance or support). A breakout occurs when the price exceeds a resistance level (up) or breaks a support level (down), indicating a potential continuation of the movement in the same direction.
- Dynamic: Resistance and support levels are not static; rather, they are calculated based on candlestick analysis over a specific period of time, making them adaptive to current market conditions.
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2. Dynamic levels (resistance and support levels)
- Resistance levels: These represent prices that the price is difficult to break above, defined here as the high of the most significant candle during the specified period.
- Support levels: These represent prices below which the price is difficult to fall, defined as the low of the most significant candle.
- Dynamic: These levels are recalculated every new search period (searchHours), meaning they change based on the latest market data, unlike traditional static levels.
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3. Adding a Dotted Center Line
- Center Line: A horizontal dotted line is drawn at the midpoint between the high and low of the most significant candle.
- Purpose:
- Provides a visual reference point for determining the current price position relative to support and resistance levels.
- Helps assess whether the price is moving toward a breakout (near resistance) or a breakout (near support).
- Dotted: The dotted pattern distinguishes it from the solid upper and lower lines, making it easier to distinguish visually.
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4. Relying on candlestick analysis over a specific time period (searchHours)
- Candlestick Analysis: The indicator examines candlesticks to determine which ones have the most influence on price movement.
- Timeframe (searchHours):
- The user specifies the number of hours (1-6) for candle analysis, which determines the range of data the indicator relies on.
- Example: If searchHours = 3 and timeframe = 30 minutes, 6 candles are analyzed (3 hours ÷ 30 minutes).
- Flexibility: This period can be adjusted to suit different markets (such as volatile cryptocurrencies or more stable Forex).
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5. Determining the Most Important Candle Based on Candle Patterns and Volume
- The most important candle: is the candle believed to have the greatest impact on price movement based on specific criteria.
- Candle Patterns:
- Candles are analyzed using a candlestick pattern library (such as Engulfing, Hammer, Doji).
- Reversal patterns (such as Morning Star, Shooting Star) are given a high importance score (100 points) because they indicate potential trend changes.
- Trading Volume:
- The trading volume of each candle is measured and compared to the maximum and minimum during the period.
- Volume is calculated as a percentage (0-100) and added to the pattern score to determine the most significant candle.
- Result: The candle with the highest score (patterns + volume) is used to determine support and resistance levels.
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6. Timeframe
- Time interval: The user selects a time frame for the candles (15, 30, or 60 minutes).
- Importance:
- Determines the number of candles analyzed during the searchHours period.
- Affects the accuracy and speed of the signals (shorter timeframe = faster but less reliable signals; longer timeframe = slower but more reliable signals).
- Example: If the timeframe is 60 minutes and searchHours is 3, only 3 candles are analyzed.
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7. Drawing Breakout Levels and Take Profit Targets (TP)
- Breakout Levels:
- Upper line (resistance): Drawn at the highest price of the most significant candle and is labeled "CALL".
- Lower line (support): Drawn at the lowest price of the most important candle and is called "PUT."
- These lines represent levels where a breakout is expected to lead to a strong price movement.
- Take Profit Targets (TP):
- Up to 8 bullish (above the upper line) and bearish (below the lower line) TP levels are calculated.
- They are calculated based on a percentage (tpPercentage) added or subtracted from the base lines.
- Example: If tpPercentage = 0.6% and the high price = 100, then bullish TP1 = 100.6, TP2 = 101.2, etc.
- Labels: Labels are drawn for each TP level indicating the value and level (TP1, TP2, etc.).
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8. Buy and Sell Signals
- Buy (BUY) signal:
- Generated when the price breaks the upper line (ta.crossover).
- The "BUY" label is drawn with the redrawing of the TP levels.
- Sell signal (SELL):
- Generated when the price breaks the lower line (ta.crossunder).
- The "SELL" label is drawn with the redrawing of the TP levels.
- Purpose: To provide clear signals to the trader for making trade entry decisions.
=========================================================================
Thank you, n00btraders.
For using the import library: n00btraders/Timezone/1
For using the import library: The_lurker/AllCandlestickPatternsLibrary/1
========================================================================
Disclaimer:
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
تهدف أداة Smart FlexRange Breakout إلى تحديد فرص التداول بناءً على اختراقات الأسعار للمستويات الديناميكية (CALL، PUT) مع خط مركزي منقط، مع إمكانية اختيار السوق المناسب. تعتمد الأداة على تحليل الشموع اليابانية على مدى فترة زمنية محددة (مثل 3 ساعات). تُجمع بيانات الشموع (searchHours) لتحديد أهم شمعة بناءً على أنماط الشموع وحجم التداول خلال الإطار الزمني المحدد. ثم تُرسم مستويات الاختراق وأهداف جني الأرباح (TP)، بالإضافة إلى إشارات البيع والشراء، وإشعارات الاختراق، وخطوط الاتجاه الصعودي/الهبوطي بناءً على نقاط المحور.
يتم تشغيل الاداه حسب الفاصل المختار timeframe
الاستخدام العملي
1- الإعداد: اضبط السوق، والإطار الزمني، وعدد الساعات، والمنطقة الزمنية لتناسب احتياجات المتداول.
2- التداول: راقب إشارات (الشراء/البيع) ومستويات جني الأرباح لتحديد نقاط الدخول والخروج.
3- خطوط الاتجاه: استخدمها لفهم الاتجاه العام وتأكيد الإشارات.
1. الهدف: تحديد فرص التداول بناءً على اختراقات الأسعار
- فرص التداول: صُمم هذا المؤشر لمساعدة المتداولين على تحديد اللحظات التي يُحتمل فيها حدوث تحركات سعرية كبيرة، مما يسمح لهم بالدخول في صفقات شراء أو بيع بناءً على تغيرات السوق.
- اختراقات الأسعار: يُركز المؤشر على اللحظات التي تخترق فيها الأسعار مستويات رئيسية (مقاومة أو دعم). يحدث الاختراق عندما يتجاوز السعر مستوى مقاومة (صعودًا) أو يخترق مستوى دعم (هبوطًا)، مما يُشير إلى احتمال استمرار الحركة في نفس الاتجاه.
- ديناميكي: مستويات المقاومة والدعم ليست ثابتة؛ بل تُحسب بناءً على تحليل الشموع اليابانية على مدى فترة زمنية محددة، مما يجعلها مُكيفة مع ظروف السوق الحالية.
2. المستويات الديناميكية (مستويات المقاومة والدعم)
- مستويات المقاومة: تُمثل هذه الأسعار التي يصعب على السعر تجاوزها، وتُعرف هنا بأنها ارتفاع الشمعة الأكثر أهمية خلال الفترة المحددة.
- مستويات الدعم: تُمثل هذه الأسعار التي يصعب على السعر الانخفاض دونها، وتُعرف بأنها أدنى مستوى للشمعة الأكثر أهمية.
- ديناميكي: تُعاد حساب هذه المستويات مع كل فترة بحث جديدة (ساعات البحث)، مما يعني أنها تتغير بناءً على أحدث بيانات السوق، على عكس المستويات الثابتة التقليدية.
3. إضافة خط مركزي منقط
- خط المركز: يُرسم خط أفقي منقط عند نقطة المنتصف بين أعلى وأدنى شمعة ذات أهمية.
- الغرض:
- يوفر نقطة مرجعية بصرية لتحديد وضع السعر الحالي بالنسبة لمستويات الدعم والمقاومة.
- يساعد في تقييم ما إذا كان السعر يتحرك نحو اختراق (بالقرب من المقاومة) أو اختراق (بالقرب من الدعم).
- منقط: يُميزه النمط المنقط عن الخطوط العلوية والسفلية المتصلة، مما يُسهّل تمييزه بصريًا.
4. الاعتماد على تحليل الشموع اليابانية على مدى فترة زمنية محددة (ساعات البحث)
- تحليل الشموع اليابانية: يفحص المؤشر الشموع اليابانية لتحديد أيها الأكثر تأثيرًا على حركة السعر.
- الإطار الزمني (ساعات البحث):
- يُحدد المستخدم عدد الساعات (من 1 إلى 6) لتحليل الشموع، والذي يُحدد نطاق البيانات التي يعتمد عليها المؤشر.
- مثال: إذا كانت ساعات البحث = 3 والإطار الزمني = 30 دقيقة، فسيتم تحليل 6 شموع (3 ساعات ÷ 30 دقيقة).
- المرونة: يُمكن تعديل هذه الفترة لتناسب الأسواق المختلفة (مثل العملات المشفرة المتقلبة أو سوق الفوركس الأكثر استقرارًا).
5. تحديد الشمعة الأكثر أهمية بناءً على أنماط الشموع وحجم التداول
- الشمعة الأكثر أهمية: هي الشمعة التي يُعتقد أن لها التأثير الأكبر على حركة السعر بناءً على معايير محددة.
- أنماط الشموع:
- يتم تحليل الشموع باستخدام مكتبة أنماط الشموع (مثل شمعة الابتلاع، وشمعة المطرقة، وشمعة الدوجي).
- تُمنح أنماط الانعكاس (مثل نجمة الصباح، ونجم الشهاب) درجة أهمية عالية (100 نقطة) لأنها تُشير إلى تغيرات محتملة في الاتجاه.
- حجم التداول:
- يُقاس حجم تداول كل شمعة ويُقارن بالحد الأقصى والأدنى خلال الفترة.
- يُحسب الحجم كنسبة مئوية (0-100) ويُضاف إلى درجة النمط لتحديد الشمعة الأكثر أهمية.
- النتيجة: تُستخدم الشمعة ذات أعلى درجة (الأنماط + الحجم) لتحديد مستويات الدعم والمقاومة.
٦. الإطار الزمني
- الفاصل الزمني: يختار المستخدم إطارًا زمنيًا للشموع (١٥، ٣٠، أو ٦٠ دقيقة).
- الأهمية:
- يحدد عدد الشموع المُحللة خلال فترة ساعات البحث.
- يؤثر على دقة وسرعة الإشارات (الإطار الزمني الأقصر = إشارات أسرع ولكن أقل موثوقية؛ الإطار الزمني الأطول = إشارات أبطأ ولكن أكثر موثوقية).
- مثال: إذا كان الإطار الزمني ٦٠ دقيقة وساعات البحث ٣، فسيتم تحليل ٣ شموع فقط.
---
٧. رسم مستويات الاختراق وأهداف جني الأرباح (TP)
- مستويات الاختراق:
- الخط العلوي (المقاومة): يُرسم عند أعلى سعر للشمعة الأكثر أهمية ويُسمى "CALL".
- الخط السفلي (الدعم): يُرسم عند أدنى سعر للشمعة الأكثر أهمية ويُسمى "PUT".
- تمثل هذه الخطوط المستويات التي يُتوقع أن يؤدي فيها الاختراق إلى حركة سعرية قوية.
- أهداف جني الأرباح (TP):
- يتم حساب ما يصل إلى 8 مستويات جني أرباح صعودية (فوق الخط العلوي) وهبوطية (تحت الخط السفلي).
- يتم حسابها بناءً على نسبة مئوية (tpPercentage) تُضاف أو تُطرح من خطوط الأساس.
- مثال: إذا كانت نسبة جني الأرباح = 0.6% وكان أعلى سعر = 100، فإن هدف الربح الصعودي الأول = 100.6، وهدف الربح الثاني = 101.2، وهكذا.
- العلامات: تُرسم علامات لكل مستوى جني أرباح تشير إلى القيمة والمستوى (TP1، TP2، وهكذا).
---
8. إشارات الشراء والبيع
- إشارة الشراء (BUY):
- تُولّد عند اختراق السعر للخط العلوي (ta.crossover).
- تُرسم علامة "الشراء" مع إعادة رسم مستويات جني الأرباح.
- إشارة البيع (SELL):
- تُولّد عند اختراق السعر للخط السفلي (ta.crossunder). - يُرسم مؤشر "بيع" مع إعادة رسم مستويات جني الأرباح.
- الغرض: توفير إشارات واضحة للمتداول لاتخاذ قرارات دخول الصفقة.
==========================================================================
شكرًا لكم، أيها المتداولون الجدد.
لاستخدام مكتبة الاستيراد: n00btraders/Timezone/1
لاستخدام مكتبة الاستيراد: The_lurker/AllCandlestickPatternsLibrary/1
==============================================================================
إخلاء مسؤولية:
لا يُقصد بهذه المعلومات والمنشورات أن تكون، ولا تُشكل، نصائح أو توصيات مالية أو استثمارية أو تجارية أو أي نوع آخر من النصائح أو التوصيات المُقدمة من TradingView أو المُعتمدة منها.
Anomaly Counter-Trend StrategyA mean-reversion style strategy that automatically spots unusually large price moves over a configurable lookback period and takes the opposite side, with full risk-management, commission and slippage modeling—built in Pine Script® v6.
🔎 Overview
ACTS monitors the percent-change over the past N minutes and, when that move exceeds your chosen threshold, enters a counter-trend position (short on a strong rise; long on a sharp fall). It’s ideal for markets that often “overshoot” and snap back, and can be applied on any symbol or timeframe.
⚙️ Key Features
Anomaly Detection: Detect abnormal price swings based on a user-defined % change over a lookback period.
Counter-Trend Entries: Auto-enter short on rise anomalies, long on fall anomalies (with seamless flat↔reverse transitions).
Risk Management: Configurable stop-loss and take-profit in ticks per trade.
Realistic Modeling: Simulates commissions (0.05 % default), slippage (2 ticks), and percent-of-equity sizing.
Immediate Bar-Close Execution: Orders processed on bar close for faster fills.
Visual Aids: Optional on-chart BUY/SELL triangles and background highlights during anomaly periods.
⚙️ Inputs
Input Default Description
Percentage Threshold (%) 2.00 Min % move over lookback to trigger an anomaly.
Lookback Period (Minutes) 15 Number of minutes over which to measure change.
Stop Loss (Ticks) 100 Distance from entry for stop-loss exit.
Take Profit (Ticks) 200 Distance from entry for take-profit exit.
Plot Trade Signal Shapes (on/off) true Show BUY/SELL triangles on chart.
Highlight Anomaly Background true Shade background during anomaly bars.
📊 How to Use
Add to Chart: Apply the script to any ticker & timeframe.
Tune: Adjust your percentage threshold and lookback to match each instrument’s volatility.
Review Backtest: Check built-in strategy performance (drawdown, Sharpe, etc.) under the Strategy Tester tab.
Go Live: Once optimized, link to alerts or your trade execution system.
⚠️ Disclaimer
This script is provided “as-is” for educational purposes and backtesting only. Past performance does not guarantee future results. Always backtest thoroughly, manage your own risk, and consider market conditions before live trading.
Enjoy experimenting—and may your counter-trend entries catch the next big snapback!
UTSStrategyHelperLibrary "UTSStrategyHelper"
TODO: add library description here
stopLossPrice(sig, atr, factor, isLong)
Calculates the stop loss price using a distance determined by ATR multiplied by a factor. Example for Long trade SL: PRICE - (ATR * factor).
Parameters:
sig (float)
atr (float) : (float): The value of the atr.
factor (float)
isLong (bool) : (bool): The current trade direction.
Returns: (bool): A boolean value.
takeProfitPrice(sig, atr, factor, isLong)
Calculates the take profit price using a distance determined by ATR multiplied by a factor. Example for Long trade TP: PRICE + (ATR * factor). When take profit price is reached usually 50 % of the position is closed and the other 50 % get a trailing stop assigned.
Parameters:
sig (float)
atr (float) : (float): The value of the atr.
factor (float)
isLong (bool) : (bool): The current trade direction.
Returns: (bool): A boolean value.
trailingStopPrice(initialStopPrice, atr, factor, priceSource, isLong)
Calculates a trailing stop price using a distance determined by ATR multiplied by a factor. It takes an initial price and follows the price closely if it changes in a favourable way.
Parameters:
initialStopPrice (float) : (float): The initial stop price which, for consistency also should be ATR * factor behind price: e.g. Long trade: PRICE - (ATR * factor)
atr (float) : (float): The value of the atr. Ideally the ATR value at trade open is taken and used for subsequent calculations.
factor (float)
priceSource (float) : (float): The current price.
isLong (bool) : (bool): The current trade direction.
Returns: (bool): A boolean value.
hasGreaterPositionSize(positionSize)
Determines if the strategy's position size has grown since the last bar.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasSmallerPositionSize(positionSize)
Determines if the strategy's position size has decreased since the last bar.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasUnchangedPositionSize(positionSize)
Determines if the strategy's position size has changed since the last bar.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
exporthasLongPosition(positionSize)
Determines if the strategy has an open long position.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasShortPosition(positionSize)
Determines if the strategy has an open short position.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasAnyPosition(positionSize)
Determines if the strategy has any open position, regardless of short or long.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasSignal(value)
Determines if the given argument contains a valid value (means not 'na').
Parameters:
value (float) : (float): The actual value.
Returns: (bool): A boolean value.
Timeframe StrategyThis is a multi-timeframe trading strategy inspired by Ross Cameron's style, optimized for scalping and trend-following across various timeframes (1m, 5m, 15m, 1h, and 1D). The strategy integrates a comprehensive set of technical indicators, dynamic risk management, and visual tools.
Core Features
Dynamic Take Profit, Stop Loss & Trailing Stop
> Separate settings per timeframe for:
-TP% (Take Profit)
-SL% (Stop Loss)
-Trailing Stop %
-Cooldown bars
> Configurable via UI inputs.
>Smart Entry Conditions
Bullish entry: EMA9 crossover EMA20 and EMA50 > EMA200
Bearish entry: EMA9 crossunder EMA20 and EMA50 < EMA200
>Additional confirmation filters:
-Volume Filter (enabled/disabled via UI)
-Time Filter (e.g., only between 15:00–20:00 UTC)
-Spike Filter: rejects high-volatility candles
-RSI Filter: above/below 50 for trend confirmation
-ADX Filter (only applied on 1m, e.g., ADX > 15)
-Micro-Volatility Filter: minimum range percentage (1m only)
-Trend Filter (1m only): price must be above/below EMA200
>Trailing Stop Logic
-Configurable for each timeframe.
- Optional via toggle (use_trailing).
>Trade Cooldown Logic
-Prevents consecutive trades within X bars, configurable per timeframe.
>Technical Indicators Used
-EMA 9 / 20 / 50 / 200
-VWAP
-RSI (14)
-ATR (14) for volatility-based spike filtering
-Custom-calculated ADX (14) (manually implemented)
>Visual Elements
🔼/🔽 Entry signals (long/short) plotted on the chart.
📉 Table in bottom-left:
Displays current values of EMA/VWAP/volume/ATR/ADX.
> Optional "Tab info" panel in top-right (toggleable):
-Timeframe & strategy settings
-Live status of filters (volume, time, cooldown, spike, RSI, ADX, range, trend)
-Uses emoji (✅ / ❌) for quick diagnostics.
>User Customization
-Inputs per timeframe for all key parameters.
-Toggle switches for:
-Trailing stop
-Volume filter
-Info table visibility
This strategy is designed for active traders seeking a balance between momentum entry, risk control, and adaptability across timeframes. It's ideal for backtesting quick reversals or breakout setups in fast markets, especially at lower timeframes like 1m or 5m.
1h Liquidity Swings Strategy with 1:2 RRLuxAlgo Liquidity Swings (Simulated):
Uses ta.pivothigh and ta.pivotlow to detect 1h swing highs (resistance) and swing lows (support).
The lookback parameter (default 5) controls swing point sensitivity.
Entry Logic:
Long: Uptrend, price crosses above 1h swing low (ta.crossover(low, support1h)), and price is below recent swing high (close < resistance1h).
Short: Downtrend, price crosses below 1h swing high (ta.crossunder(high, resistance1h)), and price is above recent swing low (close > support1h).
Take Profit (1:2 Risk-Reward):
Risk:
Long: risk = entryPrice - initialStopLoss.
Short: risk = initialStopLoss - entryPrice.
Take-profit price:
Long: takeProfitPrice = entryPrice + 2 * risk.
Short: takeProfitPrice = entryPrice - 2 * risk.
Set via strategy.exit’s limit parameter.
Stop-Loss:
Initial Stop-Loss:
Long: slLong = support1h * (1 - stopLossBuffer / 100).
Short: slShort = resistance1h * (1 + stopLossBuffer / 100).
Breakout Stop-Loss:
Long: close < support1h.
Short: close > resistance1h.
Managed via strategy.exit’s stop parameter.
Visualization:
Plots:
50-period SMA (trendMA, blue solid line).
1h resistance (resistance1h, red dashed line).
1h support (support1h, green dashed line).
Marks buy signals (green triangles below bars) and sell signals (red triangles above bars) using plotshape.
Usage Instructions
Add the Script:
Open TradingView’s Pine Editor, paste the code, and click “Add to Chart”.
Set Timeframe:
Use the 1-hour (1h) chart for intraday trading.
Adjust Parameters:
lookback: Swing high/low lookback period (default 5). Smaller values increase sensitivity; larger values reduce noise.
stopLossBuffer: Initial stop-loss buffer (default 0.5%).
maLength: Trend SMA period (default 50).
Backtesting:
Use the “Strategy Tester” to evaluate performance metrics (profit, win rate, drawdown).
Optimize parameters for your target market.
Notes on Limitations
LuxAlgo Liquidity Swings:
Simulated using ta.pivothigh and ta.pivotlow. LuxAlgo may include proprietary logic (e.g., volume or visit frequency filters), which requires the indicator’s code or settings for full integration.
Action: Please provide the Pine Script code or specific LuxAlgo settings if available.
Stop-Loss Breakout:
Uses closing price breakouts to reduce false signals. For more sensitive detection (e.g., high/low-based), I can modify the code upon request.
Market Suitability:
Ideal for high-liquidity markets (e.g., BTC/USD, EUR/USD). Choppy markets may cause false breakouts.
Action: Backtest in your target market to confirm suitability.
Fees:
Take-profit/stop-loss calculations exclude fees. Adjust for trading costs in live trading.
Swing Detection:
Swing high/low detection depends on market volatility. Optimize lookback for your market.
Verification
Tested in TradingView’s Pine Editor (@version=5):
plot function works without errors.
Entries occur strictly at 1h support (long) or resistance (short) in the trend direction.
Take-profit triggers at 1:2 risk-reward.
Stop-loss triggers on initial settings or 1h support/resistance breakouts.
Backtesting performs as expected.
Next Steps
Confirm Functionality:
Run the script and verify entries, take-profit (1:2), stop-loss, and trend filtering.
If issues occur (e.g., inaccurate signals, premature stop-loss), share backtest results or details.
LuxAlgo Liquidity Swings:
Provide the Pine Script code, settings, or logic details (e.g., volume filters) for LuxAlgo Liquidity Swings, and I’ll integrate them precisely.
nineLivesUtilLibLibrary "nineLivesUtilLib"
isDateInRange(currentTime, useTimeFilter, startDate, endDate)
Checks if the current time is within the specified date range.
Parameters:
currentTime (int) : The current bar's time (time).
useTimeFilter (bool) : Bool 📅: Enable the date range filter.
startDate (int) : Timestamp 📅: The start date for the filter.
endDate (int) : Timestamp 📅: The end date for the filter.
Returns: True if the current time is within the range or filtering is disabled, false otherwise.
@example
inDateRange = nineLivesUtilLib.isDateInRange(time, useTimeFilter, startDate, endDate)
if inDateRange
// Execute trading logic
checkVolumeCondition(currentVolume, useVolumeFilter, volumeThresholdMultiplier, volumeLength)
Checks if the current volume meets the threshold condition.
Parameters:
currentVolume (float) : The current bar's volume (volume).
useVolumeFilter (bool) : Bool 📊: Enable the volume filter.
volumeThresholdMultiplier (float) : Float 📊: Volume threshold relative to average (e.g., 1.5 for 1.5x average).
volumeLength (int) : Int 📊: Lookback length for the volume average.
Returns: True if the volume condition is met or filtering is disabled, false otherwise.
@example
volumeOk = nineLivesUtilLib.checkVolumeCondition(volume, useVolumeFilter, volumeThreshold, volumeLength)
if volumeOk
// Proceed with trading logic
checkMultiTimeframeCondition(currentClose, currentOpen, htfClose, htfOpen, useMultiTimeframe, alignment)
Checks alignment with higher timeframe direction.
Parameters:
currentClose (float) : Float: The current bar's closing price (close).
currentOpen (float) : Float: The current bar's opening price (open).
htfClose (float) : Float: The closing price from the higher timeframe (must be fetched by the calling script using request.security).
htfOpen (float) : Float: The opening price from the higher timeframe (must be fetched by the calling script using request.security).
useMultiTimeframe (bool) : Bool ⏱️: Enable multi-timeframe analysis.
alignment (string) : String ⏱️: Desired alignment ("same", "opposite", "any").
Returns: True if the timeframe alignment condition is met or analysis is disabled, false otherwise.
@example
// In the calling script:
= request.security(syminfo.tickerid, higherTimeframe, )
tfOk = nineLivesUtilLib.checkMultiTimeframeCondition(close, open, htfClose, htfOpen, useMultiTimeframe, tfAlignment)
if tfOk
// Proceed with trading logic
checkMarketRegime(useMarketRegime, regimeIndicator, regimeThreshold, regimeLength, regimeMode)
Detects the market regime (trending or ranging) and checks if trading is allowed.
Parameters:
useMarketRegime (bool) : Bool 🔍: Enable market regime detection.
regimeIndicator (string) : String 🔍: Indicator to use ("ADX" or "Volatility").
regimeThreshold (int) : Int 🔍: Threshold for trend strength/volatility.
regimeLength (simple int) : Int 🔍: Lookback length for the indicator.
regimeMode (string) : String 🔍: Trading mode based on regime ("trend_only", "range_only", "adaptive").
Returns: A tuple containing:
: conditionMet (bool) - True if trading is allowed based on the regime mode and detection, false otherwise.
: inTrendingRegime (bool) - True if the current regime is trending based on the indicator and threshold.
@example
= nineLivesUtilLib.checkMarketRegime(useMarketRegime, regimeIndicator, regimeThreshold, regimeLength, regimeMode)
if regimeOk
// Proceed with trading logic
applyCooldown(buySignal, sellSignal, cooldownBars)
Applies a cooldown period after a signal.
Parameters:
buySignal (bool) : Bool: Buy signal (potentially after primary entry logic).
sellSignal (bool) : Bool: Sell signal (potentially after primary entry logic).
cooldownBars (int) : Int ⏳: The number of bars to wait after a signal before allowing another.
Returns: A tuple containing:
: cooldownFilteredBuy (bool) - Buy signal after cooldown filter.
: cooldownFilteredSell (bool) - Sell signal after cooldown filter.
@example
= nineLivesUtilLib.applyCooldown(rawBuySignal, rawSellSignal, iCool)
applyAllFilters(rawBuy, rawSell, inDateRange, tradeDirection, volumeOk, tfOk, regimeOk, drawdownOk, cooldownOkBuy, cooldownOkSell)
Applies all filtering conditions to the buy and sell signals.
Parameters:
rawBuy (bool) : Bool: The initial buy signal candidate (from primary entry logic, e.g., after cooldown).
rawSell (bool) : Bool: The initial sell signal candidate (from primary entry logic, e.g., after cooldown).
inDateRange (bool) : Bool 📅: Result from isDateInRange.
tradeDirection (string) : String 🔄: Overall trade direction preference ("longs_only", "shorts_only", "both").
volumeOk (bool) : Bool 📊: Result from checkVolumeCondition.
tfOk (bool) : Bool ⏱️: Result from checkMultiTimeframeCondition.
regimeOk (bool) : Bool 🔍: Result from checkMarketRegime.
drawdownOk (bool) : Bool 📉: Result from checkDrawdownExceeded (or equivalent).
cooldownOkBuy (bool) : Bool ⏳: Result from applyCooldown for buy.
cooldownOkSell (bool) : Bool ⏳: Result from applyCooldown for sell.
Returns: A tuple containing:
: finalBuySignal (bool) - The final buy signal after all filters.
: finalSellSignal (bool) - The final sell signal after all filters.
@example
= nineLivesUtilLib.applyAllFilters(cooldownBuy, cooldownSell, inDateRange, tradeDirection, volumeOk, tfOk, regimeOk, !drawdownExceeded, cooldownBuy, cooldownSell)
NOTE: This function filters signals generated by your primary entry logic (e.g., EMA crossover).
checkDrawdownExceeded(currentEquity, useMaxDrawdown, maxDrawdownPercent)
Tracks maximum equity and checks if current drawdown exceeds a threshold.
Parameters:
currentEquity (float) : Float: The strategy's current equity (strategy.equity).
useMaxDrawdown (bool) : Bool 📉: Enable max drawdown protection.
maxDrawdownPercent (float) : Float 📉: The maximum allowed drawdown as a percentage.
Returns: True if drawdown protection is enabled and the current drawdown exceeds the threshold, false otherwise.
@example
drawdownExceeded = nineLivesUtilLib.checkDrawdownExceeded(strategy.equity, useMaxDrawdown, maxDrawdownPercent)
if drawdownExceeded
// Consider stopping entries or exiting positions in the strategy script
calculateExitPrice(positionAvgPrice, percentage, isStop, isLong)
Calculates a stop loss or take profit price based on a percentage from the average entry price.
Parameters:
positionAvgPrice (float) : Float: The average price of the current position (strategy.position_avg_price).
percentage (float) : Float: The stop loss or take profit percentage (e.g., 2.0 for 2%).
isStop (bool) : Bool: True if calculating a stop loss price, false if calculating a take profit price.
isLong (bool) : Bool: True if the position is long, false if short.
Returns: The calculated stop price or take profit price, or na if no position or percentage is invalid.
@example
longSL = nineLivesUtilLib.calculateExitPrice(strategy.position_avg_price, stopLossPercent, true, true)
shortTP = nineLivesUtilLib.calculateExitPrice(strategy.position_avg_price, takeProfitPercent, false, false)
calculateTrailingStopLevel(positionAvgPrice, trailOffsetPercent, trailPercent, currentHigh, currentLow, isLong)
Calculates the current trailing stop level for a position.
Parameters:
positionAvgPrice (float) : Float: The average price of the current position (strategy.position_avg_price).
trailOffsetPercent (float) : Float 🔄: The percentage price movement to activate the trailing stop.
trailPercent (float) : Float 🔄: The percentage distance the stop trails behind the price.
currentHigh (float) : Float: The current bar's high (high).
currentLow (float) : Float: The current bar's low (low).
isLong (bool) : Bool: True if the position is long, false if short.
Returns: The calculated trailing stop price if active, otherwise na.
@example
longTrailStop = nineLivesUtilLib.calculateTrailingStopLevel(strategy.position_avg_price, trailOffset, trailPercent, high, low, true)
shortTrailStop = nineLivesUtilLib.calculateTrailingStopLevel(strategy.position_avg_price, trailOffset, trailPercent, high, low, false)
if not na(longTrailStop)
strategy.exit("Long Trail", from_entry="Long", stop=longTrailStop)
PowerHouse SwiftEdge AI v2.10 StrategyOverview
The PowerHouse SwiftEdge AI v2.10 Strategy is a sophisticated trading system designed to identify high-probability trade setups in forex, stocks, and cryptocurrencies. By combining multi-timeframe trend analysis, momentum signals, volume confirmation, and smart money concepts (Change of Character and Break of Structure ), this strategy offers traders a robust tool to capitalize on market trends while minimizing false signals. The strategy’s unique “AI” component analyzes trends across multiple timeframes to provide a clear, actionable dashboard, making it accessible for both novice and experienced traders. The strategy is fully customizable, allowing users to tailor its filters to their trading style.
What It Does
This strategy generates Buy and Sell signals based on a confluence of technical indicators and smart money concepts. It uses:
Multi-Timeframe Trend Analysis: Confirms the market’s direction by analyzing trends on the 1-hour (60M), 4-hour (240M), and daily (D) timeframes.
Momentum Filter: Ensures trades align with strong price movements to avoid choppy markets.
Volume Filter: Validates signals with above-average volume to confirm market participation.
Breakout Filter: Requires price to break key levels for added confirmation.
Smart Money Signals (CHoCH/BOS): Identifies reversals (CHoCH) and trend continuations (BOS) based on pivot points.
AI Trend Dashboard: Summarizes trend strength, confidence, and predictions across timeframes, helping traders make informed decisions without needing to analyze complex data manually.
The strategy also plots dynamic support and resistance trendlines, take-profit (TP) levels, and “Get Ready” signals to alert users of potential setups before they fully develop. Trades are executed with predefined take-profit and stop-loss levels for disciplined risk management.
How It Works
The strategy integrates multiple components to create a cohesive trading system:
Multi-Timeframe Trend Analysis:
The strategy evaluates trends on three timeframes (1H, 4H, Daily) using Exponential Moving Averages (EMA) and Volume-Weighted Average Price (VWAP). A trend is considered bullish if the price is above both the EMA and VWAP, bearish if below, or neutral otherwise.
Signals are only generated when the trend on the user-selected higher timeframe aligns with the trade direction (e.g., Buy signals require a bullish higher timeframe trend). This reduces noise and ensures trades follow the broader market context.
Momentum Filter:
Measures the percentage price change between consecutive bars and compares it to a volatility-adjusted threshold (based on the Average True Range ). This ensures trades are taken only during significant price movements, filtering out low-momentum conditions.
Volume Filter (Optional):
Checks if the current volume exceeds a long-term average and shows positive short-term volume change. This confirms strong market participation, reducing the risk of false breakouts.
Breakout Filter (Optional):
Requires the price to break above (for Buy) or below (for Sell) recent highs/lows, ensuring the signal aligns with a structural shift in the market.
Smart Money Concepts (CHoCH/BOS):
Change of Character (CHoCH): Detects potential reversals when the price crosses under a recent pivot high (for Sell) or over a recent pivot low (for Buy) with a bearish or bullish candle, respectively.
Break of Structure (BOS): Confirms trend continuations when the price breaks below a recent pivot low (for Sell) or above a recent pivot high (for Buy) with strong momentum.
These signals are plotted as horizontal lines with labels, making it easy to visualize key levels.
AI Trend Dashboard:
Combines trend direction, momentum, and volatility (ATR) across timeframes to calculate a trend score. Scores above 0.5 indicate an “Up” trend, below -0.5 indicate a “Down” trend, and otherwise “Neutral.”
Displays a table summarizing trend strength (as a percentage), AI confidence (based on trend alignment), and Cumulative Volume Delta (CVD) for market context.
A second table (optional) shows trend predictions for 1H, 4H, and Daily timeframes, helping traders anticipate future market direction.
Dynamic Trendlines:
Plots support and resistance lines based on recent swing lows and highs within user-defined periods (shortTrendPeriod, longTrendPeriod). These lines adapt to market conditions and are colored based on trend strength.
Why This Combination?
The PowerHouse SwiftEdge AI v2.10 Strategy is original because it seamlessly integrates traditional technical analysis (EMA, VWAP, ATR, volume) with smart money concepts (CHoCH, BOS) and a proprietary AI-driven trend analysis. Unlike standalone indicators, this strategy:
Reduces False Signals: By requiring confluence across trend, momentum, volume, and breakout filters, it minimizes trades in choppy or low-conviction markets.
Adapts to Market Context: The ATR-based momentum threshold adjusts dynamically to volatility, ensuring signals remain relevant in both trending and ranging markets.
Simplifies Decision-Making: The AI dashboard distills complex multi-timeframe data into a user-friendly table, eliminating the need for manual analysis.
Leverages Smart Money: CHoCH and BOS signals capture institutional price action patterns, giving traders an edge in identifying reversals and continuations.
The combination of these components creates a balanced system that aligns short-term trade entries with longer-term market trends, offering a unique blend of precision, adaptability, and clarity.
How to Use
Add to Chart:
Apply the strategy to your TradingView chart on a liquid symbol (e.g., EURUSD, BTCUSD, AAPL) with a timeframe of 60 minutes or lower (e.g., 15M, 60M).
Configure Inputs:
Pivot Length: Adjust the number of bars (default: 5) to detect pivot highs/lows for CHoCH/BOS signals. Higher values reduce noise but may delay signals.
Momentum Threshold: Set the base percentage (default: 0.01%) for momentum confirmation. Increase for stricter signals.
Take Profit/Stop Loss: Define TP and SL in points (default: 10 each) for risk management.
Higher/Lower Timeframe: Choose timeframes (60M, 240M, D) for trend filtering. Ensure the chart timeframe is lower than or equal to the higher timeframe.
Filters: Enable/disable momentum, volume, or breakout filters to suit your trading style.
Trend Periods: Set shortTrendPeriod (default: 30) and longTrendPeriod (default: 100) for trendline plotting. Keep below 2000 to avoid buffer errors.
AI Dashboard: Toggle Enable AI Market Analysis to show/hide the prediction table and adjust its position.
Interpret Signals:
Buy/Sell Labels: Green "Buy" or red "Sell" labels indicate trade entries with predefined TP/SL levels plotted.
Get Ready Signals: Yellow "Get Ready BUY" or orange "Get Ready SELL" labels warn of potential setups.
CHoCH/BOS Lines: Aqua (CHoCH Sell), lime (CHoCH Buy), fuchsia (BOS Sell), or teal (BOS Buy) lines mark key levels.
Trendlines: Green/lime (support) or fuchsia/purple (resistance) dashed lines show dynamic support/resistance.
AI Dashboard: Check the top-right table for trend strength, confidence, and CVD. The optional bottom table shows trend predictions (Up, Down, Neutral).
Backtest and Trade:
Use TradingView’s Strategy Tester to evaluate performance. Adjust TP/SL and filters based on results.
Trade manually based on signals or automate with TradingView alerts (set alerts for Buy/Sell labels).
Originality and Value
The PowerHouse SwiftEdge AI v2.10 Strategy stands out by combining multi-timeframe analysis, smart money concepts, and an AI-driven dashboard into a single, user-friendly system. Its adaptive momentum threshold, robust filtering, and clear visualizations empower traders to make confident decisions without needing advanced technical knowledge. Whether you’re a day trader or swing trader, this strategy provides a versatile, data-driven approach to navigating dynamic markets.
Important Notes:
Risk Management: Always use appropriate position sizing and risk management, as the strategy’s TP/SL levels are customizable.
Symbol Compatibility: Test on liquid symbols with sufficient historical data (at least 2000 bars) to avoid buffer errors.
Performance: Backtest thoroughly to optimize settings for your market and timeframe.
