EMA-Dikkat Crossover Trend Belirleme Signal-1
📊 EMA-Caution Crossover Trend Detection Signal Indicator – User Guide
This indicator is designed to help you identify trend direction and detect potential buy or sell opportunities using a crossover system based on Exponential Moving Averages (EMAs). It calculates four EMAs — covering short, medium, and long-term trends — and generates signals depending on how these averages relate to each other.
🔧 Used EMAs (Exponential Moving Averages)
The indicator calculates 4 different EMAs with the following periods:
EMA 5 → Represents very short-term price action
EMA 20 → Indicates short-term trend
EMA 50 → Reflects medium-term trend
EMA 100 → Shows long-term overall trend
These EMAs are displayed on the chart with different colors:
🟡 EMA 5: Yellow – reacts quickly to price movements
🟣 EMA 20: Light Purple
🔴 EMA 50: Magenta (Dark Pink)
🔵 EMA 100: Blue – slower, reflects general trend
The relationship between these EMAs gives insight into the market’s current trend strength and direction.
🟨 Signals and Their Meanings
✅ BUY Signal
Condition: EMA 5 > EMA 20 > EMA 50
This pattern shows that the short-term trend is stronger than the medium and long-term, suggesting bullish momentum.
On the Chart:
🔶 Color: Yellow (RGB: 235, 204, 27)
🔼 Shape: Label Up – appears below the candle
Meaning: Possible buying opportunity. The trend is likely turning upward or strengthening.
❌ SELL Signal
Condition: EMA 5 < EMA 20 < EMA 50
This indicates that the short-term price is below both the medium and long-term averages, suggesting bearish pressure.
On the Chart:
💗 Color: Pink (RGB: 248, 23, 244)
🔽 Shape: Label Down – appears above the candle
Meaning: Potential sell signal. The trend may be shifting downward.
⚠️ CAUTION Signal
Condition: Neither buy nor sell signal is active (i.e., no clear EMA alignment)
This suggests the market is uncertain or ranging, and no clear trend is present.
On the Chart:
🔷 Color: Light Blue (RGB: 198, 232, 248)
✖️ Shape: Cross – appears below the candle
Meaning: Market is indecisive. It’s better to wait for more confirmation before entering a trade.
📌 How to Use on the Chart
Track the Trend: Observe the EMA lines to determine the general direction. If short-term EMAs are above long-term ones, the market is likely bullish — and vice versa.
Watch for Signals:
Yellow Up Label → Potential Buy
Pink Down Label → Potential Sell
Blue Cross Mark → Caution; better to wait
Use with Other Indicators: This system is based solely on EMAs. For stronger signals, consider combining it with RSI, MACD, or volume-based indicators.
💡 Strategy Tip
You can use this indicator in trend-following trading strategies. For example:
Enter long trades only when a buy signal appears, and exit when EMA 5 falls below EMA 20.
Or only trade during strong trends and stay out during caution signals to avoid sideways markets.
Multitimeframe
A.K Dynamic EMA/SMA / MTF S&R Zones Toolkit with AlertsThe A.K Dynamic EMA/SMA / MTF Support & Resistance Zones Toolkit is a powerful all-in-one technical analysis tool designed for traders who want a clean yet comprehensive market view. Whether you're scalping lower timeframes or swing trading higher timeframes, this indicator gives you both the structure and signals to take action with confidence.
Key Features:
✅ Customizable EMA/SMA Suite
Display key Exponential and Simple Moving Averages including 5, 9, 20, 50, 100, and 200 EMAs, plus optional 50 SMA for trend filtering. Each line can be toggled individually and color-customized.
✅ Multi-Timeframe Support & Resistance Zones
Automatically detects dynamic S/R zones on key timeframes (5min, 15min, 30min, 1H, 4H, 1D) using swing highs/lows. Zones are color-coded by strength and whether they're broken or active, providing a clear visual roadmap for price reaction levels.
✅ Zone Strength & Break Detection
Distinguishes between strong and weak zones based on price proximity and reaction depth, with visual shading and automatic label updates when a level is broken.
✅ Price Action-Based Buy/Sell Signals
Generates BUY signals when bullish candles react to strong support (supply) zones, and SELL signals when bearish candles react to strong resistance (demand) zones. All logic is adjustable — including candle body vs wick detection, tolerance range, and strength thresholds.
✅ Alerts Engine
Built-in TradingView alerts for price touching support/resistance or triggering buy/sell signals. Perfect for automation or hands-free monitoring.
✅ Optional Candle & Trend Filters
Highlight bullish/bearish candles visually for additional confirmation.
Optional RSI display and 50-period SMA trend filter to guide directional bias.
🧠 Use Case Scenarios:
Identify dynamic supply & demand zones across multiple timeframes.
Confirm trend direction with EMAs and SMA filters.
React quickly to clean BUY/SELL signals based on actual price interaction with strong zones.
Customize it fully to suit scalping, day trading, or swing trading strategies.
📌 Recommended Settings:
Use default zone transparency (65%) and offset (250 bars) for optimal visual clarity.
Enable alerts to get notified when price enters key S/R levels or when a trade signal occurs.
Combine this tool with your entry/exit plan for better decision-making under pressure.
💡 Pro Tip: Add this indicator to a clean chart and let the zones + EMAs guide your directional bias. Use alerts to avoid screen-watching and improve discipline.
Created by:
Version: Pine Script v6
Platform: TradingView
FUMO Monday Pulse💓 FUMO Monday Pulse – Weekly Directional Strategy
FUMO Monday Pulse is a directional trading strategy designed to detect early-week momentum and breakout structure, based on Monday’s high and low levels. This tool combines smart breakout detection, retests, and volume filters — ideal for traders looking to systematize early trend entries.
🔍 How It Works
Each week, the indicator automatically tracks Monday’s High and Low, then evaluates how price reacts around those levels during the rest of the week.
It generates two types of signals:
RETEST signals (LONG / SHORT) – a confirmed breakout on a higher timeframe (e.g. 4H), followed by a retest with candle and volume confirmation.
TREND signals (UP / DOWN) – impulsive moves without confirmation, often indicating the start of a directional push.
⚙️ Key Features
Customizable line width, style, and label size
Volume confirmation (optional)
Higher timeframe breakout validation
Cooldown period between signals to avoid clutter
🔔 Alerts
This script supports 4 alert types:
FUMO: RETEST LONG
FUMO: RETEST SHORT
FUMO: TREND UP
FUMO: TREND DOWN
Each alert sends a structured JSON payload via webhook:
{
"event": "RETEST_LONG",
"source": "FUMO_Monday_Pulse",
"symbol": "{{ticker}}",
"time": "{{time}}",
"price": {{close}}
}
You can use this with Telegram bots, Discord webhooks, or execution scripts.
💡 Recommended Use
Use this tool on 15m–1H charts, especially for breakout traders looking to align with early-week momentum. Built to integrate with automated workflows — and powered by the FUMO mindset: focus, structure, clarity.
Smart Scalping with Dashboard + Classic Entries *ProTrader*Smart Scalping with Dashboard + Classic Entries – Detailed Description (English)
The Smart Scalping with Dashboard + Classic Entries strategy is a high-precision, intraday trading system designed to capture short-term opportunities with the help of technical confirmation across multiple timeframes. It combines classic indicators like EMA, RSI, MACD, and ATR with a custom-built trend dashboard for visual trade alignment.
1. Multi-Timeframe Trend Confirmation
This strategy checks the relative position of two EMAs (9 and 21) across six timeframes:
5M, 15M, 30M, 1H, 4H, and 1D.
A timeframe is considered bullish if EMA9 > EMA21.
A trend dashboard shows arrow indicators (green/red) for each timeframe.
If at least 3 timeframes agree on direction, the setup is classified as a “Smart” trade.
2. Entry Conditions
Buy Signal:
EMA9 crosses above EMA21 (bullish crossover).
RSI is above a configurable threshold (default 60).
MACD line is above its signal line (momentum confirmation).
ATR is above a minimum level to ensure volatility (default 0.5).
Only during configured session hours (default: 08:00 to 20:00).
Last trade occurred more than N bars ago (default 10).
Sell Signal:
EMA9 crosses below EMA21 (bearish crossover).
RSI is below a configurable threshold (default 40).
MACD line is below its signal line.
ATR and session filters as above.
3. Smart Entries (Enhanced Visuals and Targets)
When the trend agreement is strong (3+ timeframes), the strategy:
Enters a “Smart Buy” or “Smart Sell”.
Draws a multi-segment arrow in trade direction.
Plots:
Entry line
TP1 and TP2 based on ATR multiples
Stop Loss based on ATR
Text labels for each key level
These visual aids help traders identify the setup and manage risk-reward intuitively.
4. Exit Strategy
All trades have clearly defined exits:
TP1: Configurable (default 2.5 × ATR)
SL: Configurable (default 1.5 × ATR)
Exits are handled with strategy.exit tied to the entry label.
5. Dashboard Interface
At the top-right of the chart:
Displays 6 timeframes with arrows indicating bullish or bearish alignment.
Automatically updates every 10 bars.
6. Scalping Precision + Trade Control
Filters low volatility markets via ATR.
Limits overtrading using barGap.
Session-based trading avoids overnight or low-liquidity trades.
الوصف التفصيلي لاستراتيجية "السكالبينغ الذكي مع لوحة الاتجاهات وإشارات الدخول الكلاسيكية" (Smart Scalping with Dashboard + Classic Entries)
تُعد هذه الاستراتيجية نظام تداول ذكي عالي الدقة مصمم خصيصًا للمتداولين اليوميين الذين يبحثون عن فرص قصيرة الأجل مدعومة بتأكيدات فنية عبر أطر زمنية متعددة. تجمع بين مؤشرات فنية كلاسيكية مثل المتوسطات المتحركة (EMA)، مؤشر القوة النسبية (RSI)، مؤشر الماكد (MACD)، ومؤشر التذبذب (ATR)، مع لوحة ذكية تبيّن اتجاه السوق عبر الأطر الزمنية المختلفة.
1. تأكيد الاتجاه عبر أطر زمنية متعددة
تتحقق الاستراتيجية من العلاقة بين المتوسط المتحرك السريع (EMA9) والبطيء (EMA21) في ستة أطر زمنية:
5 دقائق، 15 دقيقة، 30 دقيقة، ساعة، 4 ساعات، ويومي
الإطار الزمني يعتبر صاعدًا إذا كان EMA9 > EMA21.
يتم عرض لوحة الاتجاه (Dashboard) تحتوي على أسهم ملوّنة (أخضر/أحمر) لعرض اتجاه كل إطار زمني.
إذا توافق 3 أطر زمنية أو أكثر في نفس الاتجاه، تُصنّف الإشارة كـ “Smart Trade”.
2. شروط الدخول
إشارة شراء:
تقاطع EMA9 فوق EMA21 (تقاطع صاعد).
RSI أعلى من مستوى الشراء المحدد (افتراضيًا 60).
خط MACD أعلى من خط الإشارة.
ATR أعلى من الحد الأدنى لضمان وجود تقلب كافٍ (افتراضيًا 0.5).
ضمن ساعات التداول المحددة (افتراضيًا من 08:00 إلى 20:00).
مر وقت كافٍ منذ الصفقة الأخيرة (افتراضيًا 10 شموع).
إشارة بيع:
تقاطع EMA9 أسفل EMA21 (تقاطع هابط).
RSI تحت مستوى البيع المحدد (افتراضيًا 40).
خط MACD أسفل خط الإشارة.
نفس شروط ATR، الوقت، وعدد الشموع السابقة.
3. صفقات ذكية (Smart Entries)
عندما يكون هناك توافق قوي في الاتجاه (3 أطر زمنية فأكثر):
يتم الدخول تحت تسمية "Smart Buy" أو "Smart Sell".
يتم رسم سهم مائل متعدد الأجزاء في اتجاه الصفقة.
ترسم الاستراتيجية:
خط الدخول
TP1 وTP2 بناءً على مضاعفات ATR
وقف الخسارة (SL) بناءً على مضاعف ATR
تسميات توضح كل مستوى
4. استراتيجية الخروج
كل صفقة تحتوي على نقاط خروج محددة مسبقًا:
TP1: مضاعف ATR (افتراضيًا 2.5)
SL: مضاعف ATR (افتراضيًا 1.5)
يتم الخروج باستخدام strategy.exit المرتبطة بإشارة الدخول.
5. واجهة لوحة الاتجاهات (Dashboard)
في الزاوية اليمنى العلوية من الرسم:
تُعرض 6 أطر زمنية مع أسهم تمثل الاتجاه (صعود/هبوط).
OANDA:XAUUSD
يتم تحديث اللوحة تلقائيًا كل 10 شموع.
6. دقة السكالبينغ والتحكم في التداول
يتم تصفية الأسواق منخفضة التذبذب عبر ATR.
تُمنع الصفقات الزائدة عن طريق barGap.
لا يتم التداول خارج الجلسات المحددة لتفادي السيولة المنخفضة.
Delta Momentum ShiftThe "Delta Momentum Shift" strategy combines Bollinger Band breakouts with trend alignment and higher timeframe filtering to capture momentum moves.
#Entry Signals:
Long: Price crosses above upper Bollinger Band, Micro EMA above Macro EMA, and higher timeframe uptrend.
Short: Price crosses below lower Bollinger Band, Micro EMA below Macro EMA, and higher timeframe downtrend.
#Exit Logic:
Trailing Stop: Dynamic stop based on entry price percentage.
Opposite Band Cross: Close position if price crosses the opposite band.
Time Exit: Close trades after a specified number of bars.
#Indicators:
Bollinger Bands (SMA basis, standard deviation bands).
Dual EMA trend filter (Macro and Micro EMAs).
Higher timeframe SMA for trend confirmation.
#Parameter Optimization:
The strategy effectively leverages momentum and multi-timeframe trends but requires careful parameter tuning.
1. Test different combinations of bbPeriod, bbStretch, and EMA lengths across various assets to find optimal settings
2. Adjusting the trailing stop value.
The default settings work well for both BTCUSDT and ETHUSDT.
I recommend using it on a 1 hour timeframe with higher timeframe settings: daily.
StonkGame AutoLevels+Hey gang — made a new levels script to automatically plot the ones I use the most.
StonkGame AutoLevels+ automatically plots structural price levels from major timeframes — including Yesterday, Last Week, Last Month, Last Quarter, and Last Year — with the option to include up to 6 months of historical monthly open, high, low, and close levels.
Everything’s fully customizable. You pick which timeframes to show, which price types (O/H/L/C) matter, and where the labels appear. Highs are red, lows are lime. Monthly opens are fuchsia, closes are purple — easy to separate at a glance.
Labels auto-stagger to reduce clutter and can be positioned left, right, or center — or turned off completely. You also control how far they sit from price.
The screenshot shows everything turned on just to demo the range — but in practice, I usually stick with the standard levels like Last Week or Last Month, and only show highs and lows (they define structure best IMO).
Clean, contextual, and built for traders who want clarity without noise.
MMPD @MaxMaserati 2.0The MMPD @MaxMaserati 2.0 is a powerful TradingView indicator (Pine Script v6) designed to reveal institutional price action when paired with MMM 2.0 and MMPB 2.0 as part of the Max Maserati Method (MMM) System. It analyzes momentum across multiple timeframes, helping you understand whether the market is overbought (premium) or oversold (discount). With vibrant candle colors, a consistency table, momentum dots, and renamed lines for clarity, it provides an intuitive way to read market dynamics.
Key Features
Multi-Timeframe Analysis: Evaluates six user-defined timeframes to ensure signal consistency.
Candle Classifications: Colors candles to reflect momentum and institutional activity (e.g., Strong Bullish, Bearish Reversal).
Consistency Table: Displays candle types and market conditions across timeframes with a summary bias.
Momentum Dots: Visual dots indicate alignment strength across momentum, balance, and trend direction.
Premium/Discount Zones: Highlights overbought (red fill) and oversold (green fill) areas.
Renamed Lines: Clear labels like "Momentum Line," "Balance Line," and "Trend Direction Line" for better usability.
Input Parameters
Timeframe Settings: Six timeframes (htf1 to htf6, default: 45s, 1m, 5m, 15m, 60m, daily) for multi-timeframe analysis.
Display Settings:
Use Closed Candle Data: Default true, ensures reliability by using closed candles.
Show Momentum Line: Default true, displays the momentum indicator.
Show Balance Line: Default true, shows the market’s directional balance.
Show Trend Direction Line: Default false, optional trend slope.
Trend Direction Length: Default 10, range 3-50, adjusts trend slope sensitivity.
Show Premium/Discount Fill: Default true, highlights overbought/oversold zones.
Visual Settings: Customize colors (e.g., Bullish Color, Bearish Color) and candle opacity (default 20, range 0-100).
Threshold Settings:
Percentage Threshold: Default 60%, sets minimum strength for bullish/bearish classifications.
Premium Threshold: Default 65, defines overbought zone.
Discount Threshold: Default 35, defines oversold zone.
Core Components
1. Candle Types
MMPD classifies candles based on price action, syncing with MMM 2.0’s structure and MMPB 2.0’s blocks:
Strong Bullish: Institutional buying, often at MMPB eBreaks.
Bullish Resumption: Buyers continuing after a pause, tied to MMM’s C3/C4.
Bullish Reversal: Buyers flipping bearish moves, great at MMPB discount zones.
Weak Bullish: Mild bullishness, confirm with MMM’s PO4.
Bullish Pullback: Buyers resting, a setup for MMM’s resumption.
Strong Bearish: Heavy selling, often at MMPB premium eBlocks.
Bearish Resumption: Sellers pushing on, aligned with MMM’s bearish PO4.
Bearish Reversal: Sellers dominating, great at MMPB premium zones.
Weak Bearish: Soft selling, check MMM’s MC2.
Bearish Pullback: Sellers pausing, potential MMPB short entries.
Neutral: No clear direction, use MMM’s structure.
Trap: Warning of a fake-out, cross-check with MMM.
HVC Bullish: Explosive up-move, align with MMM’s C4.
HVC Bearish: Sharp drop, confirm with MMPB’s bearish blocks.
2. Candle Colors
Colors enhance readability, tying to MMM and MMPB:
Bright Green: Strong Bullish/Resumption—big buying.
Cyan: Bullish Reversal—buyers flipping bearish moves.
Green: Weak Bullish/standard bullish close.
Light Green: Bullish Pullback—buyers pausing.
Magenta: Strong Bearish/Resumption—big selling.
Bright Red: Bearish Reversal—sellers taking over.
Red: Weak Bearish/standard bearish close.
Light Red: Bearish Pullback—sellers resting.
Teal: HVC Bullish—high-energy surge.
Dark Red: HVC Bearish—sharp drop.
Orange: Trap—potential fake-out.
Gray: Neutral—no clear bias.
3. Market Conditions
MMPD flags pricing levels:
Extreme Premium (>90): Overbought, likely reversal.
Premium (65-90): Pricey, cautious longs.
Neutral (35-65): Balanced market.
Discount (10-35): Bargain, buying opportunity.
Extreme Discount (<10): Deeply undervalued.
4. Consistency Table
A top-right table summarizes:
Timeframes: Your six chosen timeframes.
MMPD Type: Candle type, colored to match.
MMPD Level: Premium/discount/neutral, with red/green backgrounds.
Summary: Bias (Bullish, Bearish, Premium, Discount) and action (Cheap, Expensive, Neutral).
5. Visual Elements
Momentum Line: Tracks momentum, colored per candle type
Balance Line: Green (bullish) or magenta (bearish), shows market direction.
Trend Direction Line: Optional, green up, magenta down.
Momentum Dots: Green (bullish) or magenta (bearish) circles:
3 dots (Normal, at 0/100): Strong alignment of momentum, balance, and trend.
2 dots (Small, at 1/99): Moderate alignment.
1 dot (Tiny, at 2/98): Weak alignment.
Premium/Discount Fills: Red (>65), green (<35).
Candles: Custom candles, colored to reflect momentum.
How to Use It
Setup: Add to TradingView with MMM 2.0 and MMPB 2.0. Set timeframes (e.g., 45s to daily), tweak thresholds, and enable visuals.
Read the Table: Look for alignment (5+ timeframes Bullish/Discount or Bearish/Premium).
Summary guides bias and action
Interpret Candles: Bright Green/Cyan for bullish setups, Magenta/Bright Red for bearish, Orange for traps.
Use Dots: Three green dots signal strong bullish alignment; three magenta dots signal bearish alignment.
Combine with MMM/MMPB: MMM for structure, MMPB for entries—MMPD confirms momentum and pricing.
Why It’s Special
Institutional Insight: Spots big-player moves with MMM and MMPB.
Clear Visuals: Dots and renamed lines make momentum easy to read.
Versatile: Works for scalping or swings, across markets.
Protective: Trap signals and premium/discount zones keep you sharp.
Notes
Lag: Uses closed candles by default—pair with MMM for real-time.
Best in Trends: Shines in moving markets, less clear in chop.
Learning Curve: Takes time to sync with MMM and MMPB.
Customize: Adjust inputs for your market.
Final Thought
“Analyze, wait, repeat.” MMPD @MaxMaserati 2.0, with MMM 2.0 and MMPB 2.0, helps you master price action. It’s your guide to seeing the market like the pros.
Built on the Max Maserati Method for educational and trading purposes.
Elliott Wave Noise FilterElliott Wave Noise Filter
Overview
The Elliott Wave Noise Filter is a specialized indicator for TradingView, designed to solve one of the biggest challenges in Elliott Wave analysis on lower timeframes: the identification of market noise. By combining multiple advanced filtering techniques, this indicator helps distinguish meaningful price action from random fluctuations.
The Problem
On lower timeframes—especially below 15 minutes—Elliott Wave analysis is significantly impacted by excessive market noise. This noise can lead to misinterpretation of wave structures, making it difficult to execute reliable trading decisions.
The Solution
The Elliott Wave Noise Filter utilizes four powerful methods to detect and filter noise:
ATR-Based Volatility Analysis: Identifies price movements too small to be structurally meaningful
Volume Confirmation: Filters out price moves that occur with insufficient volume
Trend Strength Measurement (ADX): Detects periods of weak trend activity, where noise tends to dominate
Fractal Pattern Recognition: Marks significant turning points that could be relevant for Elliott Wave analysis
Features
Visual Indicators
Background Coloring: Red indicates noise; green signifies a clear signal
Hull Moving Average: Smooths price action and highlights the prevailing trend
Fractal Markers: Triangles mark significant highs and lows
Status Panel: Displays current noise status and ADX value
Customization Options
ATR Period: Adjust the lookback period for ATR calculations
Noise Threshold: Defines the percentage of ATR below which a movement is considered noise
Volume Filter: Can be enabled or disabled
Volume Threshold: Sets the ratio to average volume for a move to be deemed significant
Hull MA Display and Length: Configure the moving average settings
ADX Parameters: Adjust trend strength sensitivity
Use Cases
For Elliott Wave Analysis
Eliminate noise to identify cleaner wave structures
Use fractal markers as potential wave endpoints
Reference the Hull MA for determining the broader trend
For General Trading
Identify high-noise periods to avoid low-quality setups
Spot clearer market phases for better entries
Assess price action quality through visual cues
Multi-Timeframe Approach
Apply the indicator across different timeframes for a comprehensive view
Prefer trading when both higher and lower timeframes align with consistent signals
Optimal Settings
For Very Short Timeframes (1–5 minutes)
Higher Noise Threshold (0.4–0.5)
Longer ATR Period (20–30)
Higher Volume Threshold (1.0–1.2)
For Medium Timeframes (15–60 minutes)
Medium Noise Threshold (0.2–0.3)
Standard ATR Period (14)
Standard Volume Threshold (0.8)
For Higher Timeframes (4h and above)
Lower Noise Threshold (0.1–0.2)
Shorter ATR Period (10)
Lower Volume Threshold (0.6–0.7)
Conclusion
The Elliott Wave Noise Filter is an essential tool for any Elliott Wave analyst or trader working on lower timeframes. By reducing noise and emphasizing significant market movements, it enables more precise analysis and potentially more profitable trading decisions.
Note: As with any technical indicator, the Elliott Wave Noise Filter should be used as part of a broader trading strategy and not as a standalone signal for trade execution.
ICT HTF Candles [Pro] (fadi)The ICT HTF Candles shows you multi-timeframe price action by plotting up to six higher timeframe candles on your chart, scaled to real price levels. Set candle counts per timeframe or toggle them off for a clean view, saving you time switching between charts. This helps you spot trends and reversals quickly, align trades with the market’s direction, and time setups like sweeps or bounces better. From scalping on the 1m to swinging on the 4H, it simplifies ICT and Smart Money Concepts (SMC), revealing trend shifts and institutional moves clearly. Once you use it, trading without this clarity just won’t feel right.
Key Features:
In-Depth Price Action Levels
These levels track ICT PD arrays and confluences across timeframes, making it easy to see how price action flows from higher timeframes and what your setup faces. Is your 5m trade about to run into a 1H bearish order block? Did it bounce off a higher timeframe FVG and create an SMT with a correlated asset? They make your chart a clear roadmap to market structure, helping you find strong setups, save time, and align with institutional moves:
Change in State of Delivery (CISD): In ICT trading, CISD marks potential reversal levels on each timeframe by showing the open of the highest series of up (green) candles for a bullish shift or the open of the lowest series of down (red) candles for a bearish shift. These levels are set at the opening price of the first candle in those runs, highlighting where the market turns. The indicator makes these levels easy to spot across timeframes, so you can track reversal points clearly. You can set your own confirmation criteria—a close or wick above/below the CISD line (bearish/bullish) or a close or wick above/below the high/low—to verify the CISD level cross. When confirmed, there is a high probability that we have a change in trend, and a reversal order block forms. CISD helps you track these reversal levels and confirm market shifts, making multi-timeframe analysis straightforward.
Order Blocks: When a CISD level cross is confirmed, the price is now below a series of up (green) candles or above a series of down (red) candles, marking these candles as order blocks that usually support the new trend direction. The indicator shows these levels clearly across timeframes, making it easy to spot high-probability reversal or consolidation areas. Keep in mind that price may sometimes move to mitigate an imbalance, so use your best judgment based on your multi-timeframe analysis to confirm they meet your trading criteria.
Trend Bias: Traders often struggle figuring out market bias—guessing the trend wrong, losing on trades against the flow, or missing how lower and higher timeframes line up. The Trend Bias feature tracks order blocks and change in state of delivery, displaying bullish or bearish trends for each timeframe to help you choose trades that go with the market’s direction. The indicator shows these trends clearly across timeframes, so you can quickly see if the 5m matches the 1H or if you’re going against the bigger trend. This makes it easier to avoid bad trades and make decisions faster, keeping you on track with setups that follow the main trend.
Immediate Rebalance: When looking at price action, you’ll see the market doesn’t usually leave behind many Fair Value Gaps (FVGs). That’s because the market is efficient and always rebalancing any inefficiencies. When the market starts a strong move, the last candle will usually close above the previous candle high (for up moves) or below the low (for down moves). At this point, the market will do one of two things: immediately rebalance by retracing first, or have a small retracement but leave behind an FVG. The Immediate Rebalance feature tracks rebalance levels across multiple timeframes, clearly showing where price rebalances. This helps traders have a better expectation of how the market may need to retrace and anticipate Power of Three (PO3) setups by being ready for a Judas swing to rebalance the imbalance.
Fair Value Gaps and Volume Imbalances: If the market fails to immediately rebalance, it will usually attempt to come back and rebalance it at a later time. FVGs and VIs give you a clear area where the price might be heading if it starts breaking structure on lower timeframes. These inefficiencies—price gaps (FVGs) or aggressive moves (VIs)—show where the market’s working to fix imbalances. The Fair Value Gaps and Volume Imbalances feature tracks these levels across timeframes.
Previous Candle Levels: The Previous Candle Levels feature marks the high, low, and middle of the prior candle on each timeframe, helping you identify key price levels for sweeps, bounces, or breakouts. It tracks the candle’s high and low as its extremes and the middle as the 50% mark, which you can set to calculate using the high-to-low range or the open-to-close range. These levels can provide tradable setups on lower timeframes.
Smart Money Techniques (SMT): What’s an ICT indicator without an SMT feature to track cracks in correlated assets? The ICT HTF Candles monitors your chosen correlated assets, like EUR/USD and GBP/USD or SQ and NQ, for signs of strength or weakness to use as confluence with other features and build the case for A+ setups. The SMT feature spots divergences when one asset makes a higher high or lower low while the other doesn’t follow, hinting at potential reversals or market shifts. It tests SMT using two immediate candles, since higher timeframes (HTFs) create larger gaps on lower timeframes. Traders can easily see these divergence levels, like a 15m SMT lining up with a 1H order block or CISD, helping you confirm high-probability setups and strengthen trade entries with multi-timeframe confluence.
Confluence of AlertsThis Pine Script code is designed to create an indicator called "Confluence of Alerts" that monitors multiple conditions across different timeframes and triggers alerts when all specified conditions are met simultaneously.
Urals Oil [METIS TRADE free]The "Urals Oil " indicator shows the price of Urals brand oil as a line.
This type of indicator allows you to see the correlation between the price of Urals oil and any other financial instrument, such as the rate of any currency.
You can fix this indicator on a separate panel and place it above or below your main chart.
Power Block Consolidation with Volume @MaxMaserati 2.0Power Block Consolidation with Volume @MaxMaserati 2.0
Overview
Price action hinges on consolidation, the foundation of market moves. The "Power Block Consolidation with Volume @MaxMaserati 2.0" (MMPB) indicator uses a proprietary, ingenious system to identify high-probability consolidation zones—termed "power blocks"—where smart money drives accumulation or distribution. By leveraging a unique limitorphe closing candle system, to plots volume to signal price direction: significant volume at the high price indicates bullish continuation, while volume at the low price suggests bearish momentum. This tool empowers traders to exploit bullish and bearish trends with precision.
Key Features
Consolidation Detection: Pinpoints power blocks using a secret system, marking zones of smart money activity.
Volume Analysis: A proprietary limitrophe closing candle system splits volume into buying (high price) and selling (low price), revealing accumulation (buying pressure) or distribution (selling pressure).
Trend Visualization:
Bullish Trends: Green boxes and lines highlight consolidation zones with high volume at the high price, signaling upward continuation.
Bearish Trends: Red boxes and lines mark zones with high volume at the low price, indicating downward momentum.
NB: The volume matter more than the color of the box.
Example
High volume up at the box vs low volume at the low we expect an up move
Even we had a bearish Body close below the box price reconfirmed the up move
Price make the bullish upside move
Price retest the box and reject it strongly
Breakout and Retest: Captures breakouts from power blocks, with price often retesting the zone before resuming the trend.
Volume Labels: Displays buying (green) and selling (red) volume on lines for clear pressure analysis.
Breakout Alerts: Triggers alerts for bullish ("BuBC") and bearish ("BeBC") breakouts, with optional visual markers (triangles).
Strategy
MMPB is designed to capture smart money behavior in consolidation zones, where markets prepare for significant moves. Key principles:
Volume-Driven Direction: High volume at the high price within a power block signals strong bullish continuation; high volume at the low price indicates bearish potential.
Accumulation/Distribution: Buying volume reflects accumulation, priming bullish trends; selling volume signals distribution, fueling bearish trends.
Breakout and Retest: Price often breaks out from power blocks and retests the zone, offering low-risk entry points.
Consolidation as Precursor: Markets require consolidation to build momentum, making power blocks critical for trend prediction.
Traders can:
Enter on breakouts with strong volume confirmation.
Target retests of power blocks for high-probability setups.
Use volume labels to assess trend strength.
Use Cases
Trend Trading: Ride bullish or bearish trends post-breakout from high-volume power blocks.
Swing Trading: Use power blocks as dynamic support/resistance for entries and exits.
Smart Money Analysis: Identify accumulation (bullish) or distribution (bearish) zones.
Risk Management: Place stops at power block edges during retests.
Conclusion
The MMPB indicator, powered by a proprietary system, transforms consolidation analysis by identifying power blocks where smart money operates. Its limitrophe closing candle system highlights volume-driven trends, enabling traders to capitalize on bullish and bearish moves with confidence. Ideal for trend and swing traders, MMPB shines in markets where consolidation precedes significant trends, offering clear signals for breakouts and retests.
Haniva ATRHaniva ATR Indicator
This indicator is fully based on ATR (Average True Range) calculations and is designed for analyzing behavior of price movement. It is tailored for traders who follow the BPM style.
Applications of the indicator:
1- Yellow candles represent inside bars, and you can trade them with inside bar hunt setup.
2- The ATR table calculates Average True Range values across multiple timeframes for better volatility assessment.
3- The Stop Loss & Target table provides suggested stop loss and target levels, dynamically calculated based on each timeframe’s ATR.
4- Long shadows (wicks) are highlighted in the chart, and their 50% zones are clearly marked to assist with identifying potential reversal or reaction points.
5- The indicator also defines key percentages used to determine the leg timeframe, helping traders align their setups with market structure.
REVELATIONS (VoVix - PoC) REVELATIONS (VoVix - POC): True Regime Detection Before the Move
Let’s not sugarcoat it: Most strategies on TradingView are recycled—RSI, MACD, OBV, CCI, Stochastics. They all lag. No matter how many overlays you stack, every one of these “standard” indicators fires after the move is underway. The retail crowd almost always gets in late. That’s never been enough for my team, for DAFE, or for anyone who’s traded enough to know the real edge vanishes by the time the masses react.
How is this different?
REVELATIONS (VoVix - POC) was engineered from raw principle, structured to detect pre-move regime change—before standard technicals even light up. We built, tested, and refined VoVix to answer one hard question:
What if you could see the spike before the trend?
Here’s what sets this system apart, line-by-line:
o True volatility-of-volatility mathematics: It’s not just "ATR of ATR" or noise smoothing. VoVix uses normalized, multi-timeframe v-vol spikes, instantly detecting orderbook stress and "outlier" market events—before the chart shows them as trends.
o Purist regime clustering: Every trade is enabled only during coordinated, multi-filter regime stress. No more signals in meaningless chop.
o Nonlinear entry logic: No trade is ever sent just for a “good enough” condition. Every entry fires only if every requirement is aligned—local extremes, super-spike threshold, regime index, higher timeframe, all must trigger in sync.
o Adaptive position size: Your contracts scale up with event strength. Tiny size during nominal moves, max leverage during true regime breaks—never guesswork, never static exposure.
o All exits governed by regime decay logic: Trades are closed not just on price targets but at the precise moment the market regime exhausts—the hardest part of systemic trading, now solved.
How this destroys the lag:
Standard indicators (RSI, MACD, OBV, CCI, and even most “momentum” overlays) simply tell you what already happened. VoVix triggers as price structure transitions—anyone running these generic scripts will trade behind the move while VoVix gets in as stress emerges. Real alpha comes from anticipation, not confirmation.
The visuals only show what matters:
Top right, you get a live, live quant dashboard—regime index, current position size, real-time performance (Sharpe, Sortino, win rate, and wins). Bottom right: a VoVix "engine bar" that adapts live with regime stress. Everything you see is a direct function of logic driving this edge—no cosmetics, no fake momentum.
Inputs/Signals—explained carefully for clarity:
o ATR Fast Length & ATR Slow Length:
These are the heart of VoVix’s regime sensing. Fast ATR reacts to sharp volatility; Slow ATR is stability baseline. Lower Fast = reacts to every twitch; higher Slow = requires more persistent, “real” regime shifts.
Tip: If you want more signals or faster markets, lower ATR Fast. To eliminate noise, raise ATR Slow.
o ATR StdDev Window: Smoothing for volatility-of-volatility normalization. Lower = more jumpy, higher = only the cleanest spikes trigger.
Tip: Shorten for “jumpy” assets, raise for indices/futures.
o Base Spike Threshold: Think of this as your “minimum event strength.” If the current move isn’t volatile enough (normalized), no signal.
Tip: Higher = only biggest moves matter. Lower for more signals but more potential noise.
o Super Spike Multiplier: The “are you sure?” test—entry only when the current spike is this multiple above local average.
Tip: Raise for ultra-selective/swing-trading; lower for more active style.
Regime & MultiTF:
o Regime Window (Bars):
How many bars to scan for regime cluster “events.” Short for turbo markets, long for big swings/trends only.
o Regime Event Count: Only trade when this many spikes occur within the Regime Window—filters for real stress, not isolated ticks.
Tip: Raise to only ever trade during true breakouts/crashes.
o Local Window for Extremes:
How many bars to check that a spike is a local max.
Tip: Raise to demand only true, “clearest” local regime events; lower for early triggers.
o HTF Confirm:
Higher timeframe regime confirmation (like 45m on an intraday chart). Ensures any event you act on is visible in the broader context.
Tip: Use higher timeframes for only major moves; lower for scalping or fast regimes.
Adaptive Sizing:
o Max Contracts (Adaptive): The largest size your system will ever scale to, even on extreme event.
Tip: Lower for small accounts/conservative risk; raise on big accounts or when you're willing to go big only on outlier events.
o Min Contracts (Adaptive): The “toe-in-the-water.” Smallest possible trade.
Tip: Set as low as your broker/exchange allows for safety, or higher if you want to always have meaningful skin in the game.
Trade Management:
o Stop %: Tightness of your stop-loss relative to entry. Lower for tighter/safer, higher for more breathing room at cost of greater drawdown.
o Take Profit %: How much you'll hold out for on a win. Lower = more scalps. Higher = only run with the best.
o Decay Exit Sensitivity Buffer: Regime index must dip this far below the trading threshold before you exit for “regime decay.”
Tip: 0 = exit as soon as stress fails, higher = exits only on stronger confirmation regime is over.
o Bars Decay Must Persist to Exit: How long must decay be present before system closes—set higher to avoid quick fades and whipsaws.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 1 min (but works on all timeframes)
Order size: Adaptive, 1–3 contracts
No pyramiding, no hidden DCA
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Tip: Set to 1 for instant regime exit; raise for extra confirmation (less whipsaw risk, exits held longer).
________________________________________
Bottom line: Tune the sensitivity, selectivity, and risk of REVELATIONS by these inputs. Raise thresholds and windows for only the best, most powerful signals (institutional style); lower for activity (scalpers, fast cryptos, signals in constant motion). Sizing is always adaptive—never static or martingale. Exits are always based on both price and regime health. Every input is there for your control, not to sell “complexity.” Use with discipline, and make it your own.
This strategy is not just a technical achievement: It’s a statement about trading smarter, not just more.
* I went back through the code to make sure no the strategy would not suffer from repainting, forward looking, or any frowned upon loopholes.
Disclaimer:
Trading is risky and carries the risk of substantial loss. Do not use funds you aren’t prepared to lose. This is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results.
Expect more: We’ll keep pushing the standard, keep evolving the bar until “quant” actually means something in the public code space.
Use with clarity, use with discipline, and always trade your edge.
— Dskyz , for DAFE Trading Systems
Deviation over Deviation (DoD) (DAFE) Deviation over Deviation (DoD)
Let’s call it out: The vast majority of “volatility” tools on TradingView are just new wrappers on old math—ATR, bands, and basic deviation, all chasing the same tired after-the-fact moves. They’re built to describe the aftermath, not the ignition. If you’re still relying on these, you’re trading in the rearview mirror while the real edge is already gone. That’s not our game, and it shouldn’t be yours.
Deviation over Deviation (DoD) is built for one purpose:
To expose the hidden regime shifts—the moments when volatility itself becomes volatile, when the market’s “normal” deviation is no longer normal, and when the next move is about to erupt. This isn’t just another overlay. This is a quant-grade anomaly detector, engineered to show you the probability surface before the crowd even knows it’s changed.
What sets this apart:
Deviation over Deviation (DoD):
Not just “how much did price move,” but “how unusual is the current volatility compared to its own history?” This is the Z-score of Z-scores—a true rarity detector for market stress, lull, or impending breakout.
VoVix Integration:
Select VoVix as your source and you’re not just tracking price, but the volatility of volatility—the same math that powers institutional regime models. This is the edge that front-runs the move, not follows it.
Multi-Timeframe Comparative Engine:
Instantly compare current and higher timeframe DoD Z-scores. See when the micro and macro regimes align—or when they’re about to collide.
Professional, Adaptive Dashboard:
No cosmetic fluff, always showing you the real quant state: current DoD Z, HTF DoD Z, and regime warnings. Every color, every plot, every signal is a direct function of the logic—no distractions, no lag.
How this destroys the lag:
Standard deviation, ATR, and “volatility bands” are always late. They tell you what just happened. DoD and VoVix show you when the nature of volatility itself is changing—when the market is about to leave the old regime behind. This is the difference between trading the past and trading the future.
Inputs/Signals—explained for clarity:
Deviation Lookback & DoD Lookback:
Control the sensitivity and selectivity of the regime detector. Shorter = more signals, longer = only the rarest events.
Source Selection:
Choose from price, volume, volatility, or VoVix. Each source gives you a different lens on market stress. VoVix is for those who want to see the “regime quake” before the aftershocks.
HTF (Comparative Timeframe):
Set your higher timeframe for macro regime confirmation. When both DoD Z-scores align, you’re seeing a true market inflection.
VoVix Parameters:
Fine-tune the volatility-of-volatility engine for your market. Lower ATR Fast = more responsive; higher ATR Slow = more selective. Adjust for your asset, your timeframe, your edge.
Bottom line:
This isn’t just another “volatility” script. This is a regime anomaly detector, built for traders who want to anticipate, not react. Every input is there for a reason. Every plot is a direct readout of the quant logic. Use it to filter your entries, to time your exits, or to simply see the market’s hidden structure in real time.
Disclaimer:
Trading is risky. This script is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results.
*Updated the Dashboard/Metrics Display for better visibility
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
(DAFE) DEVMA - Crossover (Deviation Moving Average) (DAFE) DEVMA - Crossover (Deviation Moving Average)
Let’s keep pushing the edge. After the breakthrough of Deviation over Deviation (DoD)—which gave traders a true lens into volatility’s hidden regime shifts—many asked: “What’s next?” The answer is DEVMA: a crossover engine built not on price, but on the heartbeat of the market itself.
Why is this different?
DEVMA isn’t just a moving average crossover. It’s a regime detector that tracks the expansion and contraction of deviation—giving you a real-time readout of when the market’s energy is about to shift. This is the next step for anyone who wants to anticipate volatility, not just react to it.
What sets DEVMA apart:
Volatility-First Logic:Both fast and slow lines are moving averages of deviation, not price. You’re tracking the market’s “energy,” not just its direction. This is the quant edge that most scripts miss.
Regime-Colored Lines:
The fast and slow DEVMA lines change color in real time—green/aqua for expansion, maroon/orange for contraction—so you can see regime shifts at a glance.
Quant-Pro Visuals:
Subtle glow, clean cross markers, and a minimalist dashboard keep your focus on what matters: the regime, not the noise.
Static Regime Thresholds:
Reference lines at 1.5 and 0.5 (custom colors) give you instant context for “normal” vs. “extreme” volatility states.
No Price Chasing:
This isn’t about following price. It’s about anticipating the next volatility regime—before the crowd even knows what’s coming.
How this builds on DoD:
DoD showed you when volatility itself was about to change. DEVMA takes that insight and turns it into a crossover engine—so you can see, filter, and act on regime shifts in real time. If DoD was the radar, DEVMA is the navigation system.
Inputs/Signals—explained for clarity:
Deviation Lookback:
Controls the sensitivity of the regime detector. Shorter = more signals, longer = only the rarest events.
Fast/Slow DEVMA Lengths:
Fine-tune how quickly the regime lines react. Fast for scalping, slow for swing trading.
Source Selection:
Choose from price, volume, volatility, or VoVix. Each source gives you a different lens on market stress. VoVix is for those who want to see the “regime quake” before the aftershocks.
VoVix Parameters:
Fine-tune the volatility-of-volatility engine for your market. Lower ATR Fast = more responsive; higher ATR Slow = more selective.
Bottom line:
DEVMA is for those who want to see the market’s heartbeat, not just its shadow. Use it to filter your trades, time your entries, or simply understand the market’s true rhythm. Every input is there for a reason. Every plot is a direct readout of the quant logic. Use with discipline, and make it your own.
Disclaimer:
Trading is risky. This script is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results.
*Updated the Dashboard/Metrics Display for better visibility
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
ZMVZMV-STRATEGY
Z – Zero-Based Thinking
At the core of the ZMV-STRATEGY lies zero-based thinking: the practice of assessing actions, projects, or goals as if starting from scratch. This principle encourages:
Eliminating outdated assumptions
Prioritizing current relevance over historical momentum
Making decisions based on present and future potential, not sunk costs
M – Momentum Mapping
Momentum is essential for sustained progress. The "M" emphasizes:
Identifying key areas where traction exists
Mapping energy flows within a team, project, or market
Leveraging small wins to catalyze exponential growth
V – Value Alignment
Finally, the “V” represents value alignment, which ensures that:
Every move aligns with core values and purpose
Stakeholders are engaged through shared vision
Ethical, meaningful impact is prioritized alongside metrics
ZenAlgo - MultiverseThe ZenAlgo – Multiverse indicator provides a multi-timeframe view of Volume-Weighted Average Price (VWAP) levels and their dynamic interaction with price across seven defined timeframes: Daily, Weekly, Monthly, Quarterly, Semi-Annual, and Yearly. The indicator is intended to help traders contextualize price within time-based value areas and examine how price interacts with statistically relevant bands derived from those VWAPs.
VWAP Calculation and Period Structure
At the core, this script computes VWAP levels anchored to six distinct timeframes using volume data and a configurable source (default is HLC3). Each VWAP resets at the start of its corresponding period (e.g., Daily VWAP resets at the beginning of a new day) using timeframe.change() as a detection mechanism. This allows each VWAP level to reflect a clean aggregation of price and volume over its specified period.
VWAP levels are only computed if volume data is present and cumulative volume increases, ensuring logical consistency. If volume is missing or inconsistent, the script terminates execution with an error to prevent invalid outputs.
Band Calculation
Each VWAP is accompanied by one or two optional bands on both sides, calculated using percentage-based offset. Daily VWAP is configurable per user preference to use either standard deviation or a percentage-based offset. These bands provide a dynamic value area that expands or contracts with volatility or proportional price distance, respectively.
The bands help classify price as:
Inside the main band (e.g., between ±1 band): near average value
Inside extended band (e.g., ±2 bands): stretched but not extreme
Beyond extended band: potentially overheated or oversold conditions
This layering creates a multi-zoned map of value perception across timeframes.
Labeling and Historical Tracking
As each new VWAP is computed, it is stored in a bounded array alongside metadata such as label position, line objects, test count, and test state (whether price has interacted with it). Each level is drawn as a dotted horizontal line and labeled with its value and corresponding period (e.g., "D", "W", "M").
Price interaction with a VWAP level (i.e., candle high/low crossing the line) changes the styling of the label and line, marking it as "tested." A cap on how many tested levels are retained (default 10) avoids excessive clutter and resource usage.
These persistent horizontal levels give the trader a visual reference of where value was defined in previous periods and how price has respected or ignored those levels over time.
Summary Tables and Grid
Two visual table overlays are provided:
1. VWAP Summary Table , this table shows:
VWAP values per timeframe
Trend interpretation (rising, falling, stable) relative to price
Ranked order of VWAP values (from highest to lowest)
The order is recalculated each bar to reflect the vertical positioning of each VWAP on the price chart.
2. VWAP Relationship Grid
A grid matrix compares each VWAP and current price against all others. Each cell reflects whether a given source is above, below, or within a tolerance threshold relative to another. Colors (green, red, gray) visually encode the result, with the diagonal marked in black and unused cells disabled.
This matrix helps identify alignment or dissonance among timeframes, allowing users to detect whether shorter-term value is leading or lagging longer-term value.
Price Band Classification
For the Daily VWAP specifically, the script includes an extra classification system. It assigns the current price to a zone (e.g., "At VWAP", "Bear Band", "Above Bull Band 2") based on where the price lies in relation to the VWAP bands. This classification is also used for dynamic coloring and added to the daily label.
Display Controls
The script offers fine-grained controls:
Toggle visibility of each VWAP and band group independently
Adjust the offset of labels from the current bar
Customize band multipliers and color transparency
Limit the number of historical VWAP labels plotted
Position both the summary and grid tables flexibly on screen
These options allow traders to declutter their charts and focus on the most relevant context for their strategy.
How to Interpret and Use
This indicator provides a structured view of market value perception across various timeframes. For example:
When price converges with multiple VWAPs, it may suggest consensus on value.
When price moves away from all VWAPs, it may indicate trending or stretched conditions.
Crosses and retests of VWAPs (especially higher-timeframe ones) can act as areas of interest.
The band-based classification helps identify transitional zones and whether price is situated in an area where value is being accepted or rejected.
The summary tables offer a high-level dashboard of price positioning and value structure, which can assist with top-down analysis, filtering setups, or contextual decision-making.
Added Value Compared to Free Alternatives
Most free VWAP scripts:
Cover only a single timeframe (often daily or session-based)
Lack historical level tracking with tested/retested visualization
Do not support grid-level relationships or multi-timeframe band analysis
Offer limited configuration over how bands are calculated or displayed
This script consolidates multiple value areas in one consistent framework and goes further by tracking historical relevance, providing interaction logs, and organizing data into actionable overlays.
For traders seeking comprehensive value context across intraday and swing horizons, this tool offers persistent and structured data views that are otherwise unavailable through individual, isolated VWAP tools.
Limitations and Disclaimers
The indicator depends on volume data. On instruments with unreliable or synthetic volume (e.g., certain spot forex or CFDs), results may not be meaningful.
Band-based interpretation should not be used as a signal mechanism on its own.
On low timeframes, longer-period VWAPs may appear flat or visually compressed.
As with any analytical tool, interpretation requires trader discretion and should be combined with broader context.
Alert TrendThis indicator is designed to function as a dynamic BIAS tool but can be adapted to various strategies depending on user needs.
Key Features and Integration:
Personally, I pair it with the "EMA Suite" indicator, as my strategy revolves around Fibonacci-based moving averages. The indicator uses EMA 55 and EMA 233 as trend references, triggering a trend shift when a candle closes fully above or below these levels. To maintain structural integrity, the EMA values are not user-configurable in the settings: adjustments require direct script modification (e.g., switching to EMA 50 and EMA 200, widely recognized reference levels), this ensures logical consistency for advanced users familiar with Pine Script.
Output Signals and Interpretation:
The indicator generates four distinct signals:
1. Uptrend: Candle closes above both EMA 55 and EMA 233.
2. Weak Uptrend: Candle closes above EMA 55 but below EMA 233.
3. Downtrend: Candle closes below both EMA 55 and EMA 233.
4. Weak Downtrend: Candle closes below EMA 55 but above EMA 233.
The area between the two EMAs represents a "complex zone" where price action contradicts higher timeframe trends. To resolve ambiguity, combine this indicator with a primary timeframe (e.g., H4) and a confirmation timeframe (e.g., H1). In smaller timeframes may also serve as entry signals, a feature currently under exploration for automation.
Alert System and Strategy Integration:
The indicator includes customizable alerts for all four signals collectively or individually, streamlining integration into Strategy scripts. This flexibility enhances adaptability for backtesting or live trading.
Critical Note:
Configure the indicator to display exclusively on the selected timeframe. Higher intervals fail to render all signals due to overlapping visualizations, distorting analysis. To resolve this, set the visibility parameter to "Visibility on intervals/Current interval and below" in the chart settings. This ensures clarity and preserves signal accuracy.
Development Status and Collaboration:
As part of an ongoing project, this tool is already integrated into my personal strategy. While functional and publicly shareable, further refinements are planned. Though not a professional developer, I utilize Deepseek for coding assistance and possess sufficient Pine Script literacy to oversee the logic. Feedback, suggestions, and collaborations are welcome to optimize its utility.
I hope this tool proves valuable to fellow traders navigating multi-timeframe analysis and trend confirmation.
SR Nube 1.1The SR Nube 1.1 indicator offers a comprehensive perspective on price action through the strategic combination of three key elements: a dynamic cloud based on two Volume Weighted Moving Averages (VWMA), a consistent reference Exponential Moving Average (EMA) across all timeframes, and an intuitive information table.
The Dynamic Cloud: This cloud is calculated using two VWMA with lengths that automatically adjust based on the chart's timeframe. This dynamic adaptation allows for the identification of relevant support and resistance zones across different timeframes, providing contextual insight into potential price movement. The cloud visualizes areas of volume confluence, helping traders pinpoint zones where buying or selling pressure may be significant.
The Consistent Reference EMA: An EMA with a specific length (calculated to be representative of a higher timeframe, such as 1 hour, and displayed consistently across all timeframes) is overlaid on the chart. This EMA serves as a macro trend guide and a constant visual reference point, making it easier to identify the overall market direction regardless of the active trading timeframe. Its consistency across timeframes helps maintain perspective and align trades with the dominant trend.
The Information Table: Located in the top-left corner of the chart, a concise table summarizes the current price status relative to the cloud (on the 20-minute timeframe, as a reference for the main strategy) and the price's position concerning the reference EMA (based on the 1-hour timeframe). This table provides a quick, color-coded overview of trend alignment across multiple key timeframes, which can assist traders in making more informed decisions.
Utility and Underlying Concepts:
This indicator is designed for traders seeking a tool that combines volume analysis (through the VWMA in the cloud) with a higher timeframe trend reference (the consistent EMA). The dynamic cloud helps identify potential entry and exit zones within the trading timeframe, while the reference EMA provides a directional filter. The information table simplifies the evaluation of trend confluence across multiple timeframes, potentially increasing the probability of successful trades.
The underlying strategy is based on the idea of trading in the direction of volume and in alignment with a higher timeframe trend, using the cloud to identify value areas and the EMA as a key directional filter. The information table acts as a quick visual aid for assessing this alignment.
How to Use:
Add the "SR Nube 1.1" indicator to your TradingView chart.
Observe the dynamic cloud to identify potential support and resistance zones on your trading timeframe.
Use the blue EMA as a guide for the overall market trend.
Consult the information table in the top-left corner to see the price alignment with the 20-minute cloud and the 1-hour EMA. The colors will provide a quick indication of the potential direction.
Look for confluence between the cloud signals on your trading timeframe, the price's position relative to the EMA, and the information provided in the table to identify potential entry and exit opportunities.
EMA Break & Retest + Trend TableThis script is designed to identify potential buy and sell trading opportunities based on 21 EMA (Exponential Moving Average) break and retest patterns, with confirmation from multi-timeframe trend analysis. It combines actionable signal generation with a clean, real-time trend overview table.
✅ 1. EMA Break & Retest Logic
Detects when the price crosses above or below the 21 EMA and then closes in the direction of the breakout.
Generates buy signals on upward break/retest, and sell signals on downward break/retest.
✅ 2. Multi-Timeframe Confirmation
Filters signals using higher timeframe trends to avoid false entries.
Buy signals are shown only if the 1H or 4H trend is bullish.
Sell signals are shown only if the 1H or 4H trend is bearish.
✅ 3. Visual Signal Plotting
Displays green "BUY" labels below bars and red "SELL" labels above bars.
Users can toggle buy/sell signals on or off with checkboxes.
✅ 4. Alerts
Built-in alertcondition() functions allow traders to set real-time alerts when buy or sell signals are triggered.
✅ 5. Multi-Timeframe Trend Table
A dynamic table appears in the top-right corner showing trend status across:
Daily (D)
4 Hour (4H)
1 Hour (1H)
15 Minute (15M)
5 Minute (5M)
Each timeframe is marked as Bullish (green) or Bearish (red) depending on the current price vs. 21 EMA.
The latest signal (“BUY” / “SELL” / “—”) is displayed at the bottom of the table.
Bober XM v2.0# ₿ober XM v2.0 Trading Bot Documentation
**Developer's Note**: While our previous Bot 1.3.1 was removed due to guideline violations, this setback only fueled our determination to create something even better. Rising from this challenge, Bober XM 2.0 emerges not just as an update, but as a complete reimagining with multi-timeframe analysis, enhanced filters, and superior adaptability. This adversity pushed us to innovate further and deliver a strategy that's smarter, more agile, and more powerful than ever before. Challenges create opportunity - welcome to Cryptobeat's finest work yet.
## !!!!You need to tune it for your own pair and timeframe and retune it periodicaly!!!!!
## Overview
The ₿ober XM v2.0 is an advanced dual-channel trading bot with multi-timeframe analysis capabilities. It integrates multiple technical indicators, customizable risk management, and advanced order execution via webhook for automated trading. The bot's distinctive feature is its separate channel systems for long and short positions, allowing for asymmetric trade strategies that adapt to different market conditions across multiple timeframes.
### Key Features
- **Multi-Timeframe Analysis**: Analyze price data across multiple timeframes simultaneously
- **Dual Channel System**: Separate parameter sets for long and short positions
- **Advanced Entry Filters**: RSI, Volatility, Volume, Bollinger Bands, and KEMAD filters
- **Machine Learning Moving Average**: Adaptive prediction-based channels
- **Multiple Entry Strategies**: Breakout, Pullback, and Mean Reversion modes
- **Risk Management**: Customizable stop-loss, take-profit, and trailing stop settings
- **Webhook Integration**: Compatible with external trading bots and platforms
### Strategy Components
| Component | Description |
|---------|-------------|
| **Dual Channel Trading** | Uses either Keltner Channels or Machine Learning Moving Average (MLMA) with separate settings for long and short positions |
| **MLMA Implementation** | Machine learning algorithm that predicts future price movements and creates adaptive bands |
| **Pivot Point SuperTrend** | Trend identification and confirmation system based on pivot points |
| **Three Entry Strategies** | Choose between Breakout, Pullback, or Mean Reversion approaches |
| **Advanced Filter System** | Multiple customizable filters with multi-timeframe support to avoid false signals |
| **Custom Exit Logic** | Exits based on OBV crossover of its moving average combined with pivot trend changes |
### Note for Novice Users
This is a fully featured real trading bot and can be tweaked for any ticker — SOL is just an example. It follows this structure:
1. **Indicator** – gives the initial signal
2. **Entry strategy** – decides when to open a trade
3. **Exit strategy** – defines when to close it
4. **Trend confirmation** – ensures the trade follows the market direction
5. **Filters** – cuts out noise and avoids weak setups
6. **Risk management** – controls losses and protects your capital
To tune it for a different pair, you'll need to start from scratch:
1. Select the timeframe (candle size)
2. Turn off all filters and trend entry/exit confirmations
3. Choose a channel type, channel source and entry strategy
4. Adjust risk parameters
5. Tune long and short settings for the channel
6. Fine-tune the Pivot Point Supertrend and Main Exit condition OBV
This will generate a lot of signals and activity on the chart. Your next task is to find the right combination of filters and settings to reduce noise and tune it for profitability.
### Default Strategy values
Default values are tuned for: Symbol BITGET:SOLUSDT.P 5min candle
Filters are off by default: Try to play with it to understand how it works
## Configuration Guide
### General Settings
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Long Positions** | Enable or disable long trades | Enabled |
| **Short Positions** | Enable or disable short trades | Enabled |
| **Risk/Reward Area** | Visual display of stop-loss and take-profit zones | Enabled |
| **Long Entry Source** | Price data used for long entry signals | hl2 (High+Low/2) |
| **Short Entry Source** | Price data used for short entry signals | hl2 (High+Low/2) |
The bot allows you to trade long positions, short positions, or both simultaneously. Each direction has its own set of parameters, allowing for fine-tuned strategies that recognize the asymmetric nature of market movements.
### Multi-Timeframe Settings
1. **Enable Multi-Timeframe Analysis**: Toggle 'Enable Multi-Timeframe Analysis' in the Multi-Timeframe Settings section
2. **Configure Timeframes**: Set appropriate higher timeframes based on your trading style:
- Timeframe 1: Default is now 15 minutes (intraday confirmation)
- Timeframe 2: Default is 4 hours (trend direction)
3. **Select Sources per Indicator**: For each indicator (RSI, KEMAD, Volume, etc.), choose:
- The desired timeframe (current, mtf1, or mtf2)
- The appropriate price type (open, high, low, close, hl2, hlc3, ohlc4)
### Entry Strategies
- **Breakout**: Enter when price breaks above/below the channel
- **Pullback**: Enter when price pulls back to the channel
- **Mean Reversion**: Enter when price is extended from the channel
You can enable different strategies for long and short positions.
### Core Components
### Risk Management
- **Position Size**: Control risk with percentage-based position sizing
- **Stop Loss Options**:
- Fixed: Set a specific price or percentage from entry
- ATR-based: Dynamic stop-loss based on market volatility
- Swing: Uses recent swing high/low points
- **Take Profit**: Multiple targets with percentage allocation
- **Trailing Stop**: Dynamic stop that follows price movement
## Advanced Usage Strategies
### Moving Average Type Selection Guide
- **SMA**: More stable in choppy markets, good for higher timeframes
- **EMA/WMA**: More responsive to recent price changes, better for entry signals
- **VWMA**: Adds volume weighting for stronger trends, use with Volume filter
- **HMA**: Balance between responsiveness and noise reduction, good for volatile markets
### Multi-Timeframe Strategy Approaches
- **Trend Confirmation**: Use higher timeframe RSI (mtf2) for overall trend, current timeframe for entries
- **Entry Precision**: Use KEMAD on current timeframe with volume filter on mtf1
- **False Signal Reduction**: Apply RSI filter on mtf1 with strict KEMAD settings
### Market Condition Optimization
| Market Condition | Recommended Settings |
|------------------|----------------------|
| **Trending** | Use Breakout strategy with KEMAD filter on higher timeframe |
| **Ranging** | Use Mean Reversion with strict RSI filter (mtf1) |
| **Volatile** | Increase ATR multipliers, use HMA for moving averages |
| **Low Volatility** | Decrease noise parameters, use pullback strategy |
## Webhook Integration
The strategy features a professional webhook system that allows direct connectivity to your exchange or trading platform of choice through third-party services like 3commas, Alertatron, or Autoview.
The webhook payload includes all necessary parameters for automated execution:
- Entry price and direction
- Stop loss and take profit levels
- Position size
- Custom identifier for webhook routing
## Performance Optimization Tips
1. **Start with Defaults**: Begin with the default settings for your timeframe before customizing
2. **Adjust One Component at a Time**: Make incremental changes and test the impact
3. **Match MA Types to Market Conditions**: Use appropriate moving average types based on the Market Condition Optimization table
4. **Timeframe Synergy**: Create logical relationships between timeframes (e.g., 5min chart with 15min and 4h higher timeframes)
5. **Periodic Retuning**: Markets evolve - regularly review and adjust parameters
## Common Setups
### Crypto Trend-Following
- MLMA with EMA or HMA
- Higher RSI thresholds (75/25)
- KEMAD filter on mtf1
- Breakout entry strategy
### Stock Swing Trading
- MLMA with SMA for stability
- Volume filter with higher threshold
- KEMAD with increased filter order
- Pullback entry strategy
### Forex Scalping
- MLMA with WMA and lower noise parameter
- RSI filter on current timeframe
- Use highest timeframe for trend direction only
- Mean Reversion strategy
## Webhook Configuration
- **Benefits**:
- Automated trade execution without manual intervention
- Immediate response to market conditions
- Consistent execution of your strategy
- **Implementation Notes**:
- Requires proper webhook configuration on your exchange or platform
- Test thoroughly with small position sizes before full deployment
- Consider latency between signal generation and execution
### Backtesting Period
Define a specific historical period to evaluate the bot's performance:
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Start Date** | Beginning of backtest period | January 1, 2025 |
| **End Date** | End of backtest period | December 31, 2026 |
- **Best Practice**: Test across different market conditions (bull markets, bear markets, sideways markets)
- **Limitation**: Past performance doesn't guarantee future results
## Entry and Exit Strategies
### Dual-Channel System
A key innovation of the Bober XM is its dual-channel approach:
- **Independent Parameters**: Each trade direction has its own channel settings
- **Asymmetric Trading**: Recognizes that markets often behave differently in uptrends versus downtrends
- **Optimized Performance**: Fine-tune settings for both bullish and bearish conditions
This approach allows the bot to adapt to the natural asymmetry of markets, where uptrends often develop gradually while downtrends can be sharp and sudden.
### Channel Types
#### 1. Keltner Channels
Traditional volatility-based channels using EMA and ATR:
| Setting | Long Default | Short Default |
|---------|--------------|---------------|
| **EMA Length** | 37 | 20 |
| **ATR Length** | 13 | 17 |
| **Multiplier** | 1.4 | 1.9 |
| **Source** | low | high |
- **Strengths**:
- Reliable in trending markets
- Less prone to whipsaws than Bollinger Bands
- Clear visual representation of volatility
- **Weaknesses**:
- Can lag during rapid market changes
- Less effective in choppy, non-trending markets
#### 2. Machine Learning Moving Average (MLMA)
Advanced predictive model using kernel regression (RBF kernel):
| Setting | Description | Options |
|---------|-------------|--------|
| **Source MA** | Price data used for MA calculations | Any price source (low/high/close/etc.) |
| **Moving Average Type** | Type of MA algorithm for calculations | SMA, EMA, WMA, VWMA, RMA, HMA |
| **Trend Source** | Price data used for trend determination | Any price source (close default) |
| **Window Size** | Historical window for MLMA calculations | 5+ (default: 16) |
| **Forecast Length** | Number of bars to forecast ahead | 1+ (default: 3) |
| **Noise Parameter** | Controls smoothness of prediction | 0.01+ (default: ~0.43) |
| **Band Multiplier** | Multiplier for channel width | 0.1+ (default: 0.5-0.6) |
- **Strengths**:
- Predictive rather than reactive
- Adapts quickly to changing market conditions
- Better at identifying trend reversals early
- **Weaknesses**:
- More computationally intensive
- Requires careful parameter tuning
- Can be sensitive to input data quality
### Entry Strategies
| Strategy | Description | Ideal Market Conditions |
|----------|-------------|-------------------------|
| **Breakout** | Enters when price breaks through channel bands, indicating strong momentum | High volatility, emerging trends |
| **Pullback** | Enters when price retraces to the middle band after testing extremes | Established trends with regular pullbacks |
| **Mean Reversion** | Enters at channel extremes, betting on a return to the mean | Range-bound or oscillating markets |
#### Breakout Strategy (Default)
- **Implementation**: Enters long when price crosses above the upper band, short when price crosses below the lower band
- **Strengths**: Captures strong momentum moves, performs well in trending markets
- **Weaknesses**: Can lead to late entries, higher risk of false breakouts
- **Optimization Tips**:
- Increase channel multiplier for fewer but more reliable signals
- Combine with volume confirmation for better accuracy
#### Pullback Strategy
- **Implementation**: Enters long when price pulls back to middle band during uptrend, short during downtrend pullbacks
- **Strengths**: Better entry prices, lower risk, higher probability setups
- **Weaknesses**: Misses some strong moves, requires clear trend identification
- **Optimization Tips**:
- Use with trend filters to confirm overall direction
- Adjust middle band calculation for market volatility
#### Mean Reversion Strategy
- **Implementation**: Enters long at lower band, short at upper band, expecting price to revert to the mean
- **Strengths**: Excellent entry prices, works well in ranging markets
- **Weaknesses**: Dangerous in strong trends, can lead to fighting the trend
- **Optimization Tips**:
- Implement strong trend filters to avoid counter-trend trades
- Use smaller position sizes due to higher risk nature
### Confirmation Indicators
#### Pivot Point SuperTrend
Combines pivot points with ATR-based SuperTrend for trend confirmation:
| Setting | Default Value |
|---------|---------------|
| **Pivot Period** | 25 |
| **ATR Factor** | 2.2 |
| **ATR Period** | 41 |
- **Function**: Identifies significant market turning points and confirms trend direction
- **Implementation**: Requires price to respect the SuperTrend line for trade confirmation
#### Weighted Moving Average (WMA)
Provides additional confirmation layer for entries:
| Setting | Default Value |
|---------|---------------|
| **Period** | 15 |
| **Source** | ohlc4 (average of Open, High, Low, Close) |
- **Function**: Confirms trend direction and filters out low-quality signals
- **Implementation**: Price must be above WMA for longs, below for shorts
### Exit Strategies
#### On-Balance Volume (OBV) Based Exits
Uses volume flow to identify potential reversals:
| Setting | Default Value |
|---------|---------------|
| **Source** | ohlc4 |
| **MA Type** | HMA (Options: SMA, EMA, WMA, RMA, VWMA, HMA) |
| **Period** | 22 |
- **Function**: Identifies divergences between price and volume to exit before reversals
- **Implementation**: Exits when OBV crosses its moving average in the opposite direction
- **Customizable MA Type**: Different MA types provide varying sensitivity to OBV changes:
- **SMA**: Traditional simple average, equal weight to all periods
- **EMA**: More weight to recent data, responds faster to price changes
- **WMA**: Weighted by recency, smoother than EMA
- **RMA**: Similar to EMA but smoother, reduces noise
- **VWMA**: Factors in volume, helpful for OBV confirmation
- **HMA**: Reduces lag while maintaining smoothness (default)
#### ADX Exit Confirmation
Uses Average Directional Index to confirm trend exhaustion:
| Setting | Default Value |
|---------|---------------|
| **ADX Threshold** | 35 |
| **ADX Smoothing** | 60 |
| **DI Length** | 60 |
- **Function**: Confirms trend weakness before exiting positions
- **Implementation**: Requires ADX to drop below threshold or DI lines to cross
## Filter System
### RSI Filter
- **Function**: Controls entries based on momentum conditions
- **Parameters**:
- Period: 15 (default)
- Overbought level: 71
- Oversold level: 23
- Multi-timeframe support: Current, MTF1 (15min), or MTF2 (4h)
- Customizable price source (open, high, low, close, hl2, hlc3, ohlc4)
- **Implementation**: Blocks long entries when RSI > overbought, short entries when RSI < oversold
### Volatility Filter
- **Function**: Prevents trading during excessive market volatility
- **Parameters**:
- Measure: ATR (Average True Range)
- Period: Customizable (default varies by timeframe)
- Threshold: Adjustable multiplier
- Multi-timeframe support
- Customizable price source
- **Implementation**: Blocks trades when current volatility exceeds threshold × average volatility
### Volume Filter
- **Function**: Ensures adequate market liquidity for trades
- **Parameters**:
- Threshold: 0.4× average (default)
- Measurement period: 5 (default)
- Moving average type: Customizable (HMA default)
- Multi-timeframe support
- Customizable price source
- **Implementation**: Requires current volume to exceed threshold × average volume
### Bollinger Bands Filter
- **Function**: Controls entries based on price relative to statistical boundaries
- **Parameters**:
- Period: Customizable
- Standard deviation multiplier: Adjustable
- Moving average type: Customizable
- Multi-timeframe support
- Customizable price source
- **Implementation**: Can require price to be within bands or breaking out of bands depending on strategy
### KEMAD Filter (Kalman EMA Distance)
- **Function**: Advanced trend confirmation using Kalman filter algorithm
- **Parameters**:
- Process Noise: 0.35 (controls smoothness)
- Measurement Noise: 24 (controls reactivity)
- Filter Order: 6 (higher = more smoothing)
- ATR Length: 8 (for bandwidth calculation)
- Upper Multiplier: 2.0 (for long signals)
- Lower Multiplier: 2.7 (for short signals)
- Multi-timeframe support
- Customizable visual indicators
- **Implementation**: Generates signals based on price position relative to Kalman-filtered EMA bands
## Risk Management System
### Position Sizing
Automatically calculates position size based on account equity and risk parameters:
| Setting | Default Value |
|---------|---------------|
| **Risk % of Equity** | 50% |
- **Implementation**:
- Position size = (Account equity × Risk %) ÷ (Entry price × Stop loss distance)
- Adjusts automatically based on volatility and stop placement
- **Best Practices**:
- Start with lower risk percentages (1-2%) until strategy is proven
- Consider reducing risk during high volatility periods
### Stop-Loss Methods
Multiple stop-loss calculation methods with separate configurations for long and short positions:
| Method | Description | Configuration |
|--------|-------------|---------------|
| **ATR-Based** | Dynamic stops based on volatility | ATR Period: 14, Multiplier: 2.0 |
| **Percentage** | Fixed percentage from entry | Long: 1.5%, Short: 1.5% |
| **PIP-Based** | Fixed currency unit distance | 10.0 pips |
- **Implementation Notes**:
- ATR-based stops adapt to changing market volatility
- Percentage stops maintain consistent risk exposure
- PIP-based stops provide precise control in stable markets
### Trailing Stops
Locks in profits by adjusting stop-loss levels as price moves favorably:
| Setting | Default Value |
|---------|---------------|
| **Stop-Loss %** | 1.5% |
| **Activation Threshold** | 2.1% |
| **Trailing Distance** | 1.4% |
- **Implementation**:
- Initial stop remains fixed until profit reaches activation threshold
- Once activated, stop follows price at specified distance
- Locks in profit while allowing room for normal price fluctuations
### Risk-Reward Parameters
Defines the relationship between risk and potential reward:
| Setting | Default Value |
|---------|---------------|
| **Risk-Reward Ratio** | 1.4 |
| **Take Profit %** | 2.4% |
| **Stop-Loss %** | 1.5% |
- **Implementation**:
- Take profit distance = Stop loss distance × Risk-reward ratio
- Higher ratios require fewer winning trades for profitability
- Lower ratios increase win rate but reduce average profit
### Filter Combinations
The strategy allows for simultaneous application of multiple filters:
- **Recommended Combinations**:
- Trending markets: RSI + KEMAD filters
- Ranging markets: Bollinger Bands + Volatility filters
- All markets: Volume filter as minimum requirement
- **Performance Impact**:
- Each additional filter reduces the number of trades
- Quality of remaining trades typically improves
- Optimal combination depends on market conditions and timeframe
### Multi-Timeframe Filter Applications
| Filter Type | Current Timeframe | MTF1 (15min) | MTF2 (4h) |
|-------------|-------------------|-------------|------------|
| RSI | Quick entries/exits | Intraday trend | Overall trend |
| Volume | Immediate liquidity | Sustained support | Market participation |
| Volatility | Entry timing | Short-term risk | Regime changes |
| KEMAD | Precise signals | Trend confirmation | Major reversals |
## Visual Indicators and Chart Analysis
The bot provides comprehensive visual feedback on the chart:
- **Channel Bands**: Keltner or MLMA bands showing potential support/resistance
- **Pivot SuperTrend**: Colored line showing trend direction and potential reversal points
- **Entry/Exit Markers**: Annotations showing actual trade entries and exits
- **Risk/Reward Zones**: Visual representation of stop-loss and take-profit levels
These visual elements allow for:
- Real-time strategy assessment
- Post-trade analysis and optimization
- Educational understanding of the strategy logic
## Implementation Guide
### TradingView Setup
1. Load the script in TradingView Pine Editor
2. Apply to your preferred chart and timeframe
3. Adjust parameters based on your trading preferences
4. Enable alerts for webhook integration
### Webhook Integration
1. Configure webhook URL in TradingView alerts
2. Set up receiving endpoint on your trading platform
3. Define message format matching the bot's output
4. Test with small position sizes before full deployment
### Optimization Process
1. Backtest across different market conditions
2. Identify parameter sensitivity through multiple tests
3. Focus on risk management parameters first
4. Fine-tune entry/exit conditions based on performance metrics
5. Validate with out-of-sample testing
## Performance Considerations
### Strengths
- Adaptability to different market conditions through dual channels
- Multiple layers of confirmation reducing false signals
- Comprehensive risk management protecting capital
- Machine learning integration for predictive edge
### Limitations
- Complex parameter set requiring careful optimization
- Potential over-optimization risk with so many variables
- Computational intensity of MLMA calculations
- Dependency on proper webhook configuration for execution
### Best Practices
- Start with conservative risk settings (1-2% of equity)
- Test thoroughly in demo environment before live trading
- Monitor performance regularly and adjust parameters
- Consider market regime changes when evaluating results
## Conclusion
The ₿ober XM v2.0 represents a significant evolution in trading strategy design, combining traditional technical analysis with machine learning elements and multi-timeframe analysis. The core strength of this system lies in its adaptability and recognition of market asymmetry.
### Market Asymmetry and Adaptive Approach
The strategy acknowledges a fundamental truth about markets: bullish and bearish phases behave differently and should be treated as distinct environments. The dual-channel system with separate parameters for long and short positions directly addresses this asymmetry, allowing for optimized performance regardless of market direction.
### Targeted Backtesting Philosophy
It's counterproductive to run backtests over excessively long periods. Markets evolve continuously, and strategies that worked in previous market regimes may be ineffective in current conditions. Instead:
- Test specific market phases separately (bull markets, bear markets, range-bound periods)
- Regularly re-optimize parameters as market conditions change
- Focus on recent performance with higher weight than historical results
- Test across multiple timeframes to ensure robustness
### Multi-Timeframe Analysis as a Game-Changer
The integration of multi-timeframe analysis fundamentally transforms the strategy's effectiveness:
- **Increased Safety**: Higher timeframe confirmations reduce false signals and improve trade quality
- **Context Awareness**: Decisions made with awareness of larger trends reduce adverse entries
- **Adaptable Precision**: Apply strict filters on lower timeframes while maintaining awareness of broader conditions
- **Reduced Noise**: Higher timeframe data naturally filters market noise that can trigger poor entries
The ₿ober XM v2.0 provides traders with a framework that acknowledges market complexity while offering practical tools to navigate it. With proper setup, realistic expectations, and attention to changing market conditions, it delivers a sophisticated approach to systematic trading that can be continuously refined and optimized.
Trend Table ZeeZeeMonMulti-Timeframe Trend Indicator
Overview
This indicator identifies trends across multiple higher timeframes and displays them in a widget on the right side of the chart. It serves as an alternative trend-filtering tool, helping traders align with the dominant market direction. Unlike traditional moving average-based trend detection (e.g., price above/below a 200 MA), this indicator assesses whether higher timeframes are genuinely trending by analyzing swing highs and lows.
Trend Definition
Uptrend: Higher highs and higher lows.
Downtrend: Lower highs and lower lows.
A trend reversal occurs when a prior high/low is breached (e.g., in a downtrend, breaking the last high signals an uptrend).
Customization Options
Lookback Period: Adjusts the sensitivity for identifying swing highs/lows (pivot points). A shorter lookback detects more frequent pivots.
Historical Pivot Visibility: Toggle to display past swing highs/lows for verification.
Support/Resistance Lines: Show dynamic levels from recent pivots on higher timeframes. Breaching these lines indicates potential trend changes.
Purpose
Helps traders:
Confirm higher timeframe trends before entering trades.
Monitor proximity to trend reversals.
Fine-tune pivot sensitivity for optimal trend detection.
Note: Works best as a supplementary trend filter alongside other trading strategies.
