Gabriel's Adaptive MA📜 Gabriel's Adaptive MA — Indicator Description
Gabriel's Adaptive Moving Average (GAMA) is a dynamic trend-following indicator that intelligently adjusts its smoothing based on both trend strength and market volatility.
It is designed to provide faster responsiveness during strong moves while maintaining stability during choppy or consolidating periods.
🧠 What it does:
This indicator plots a custom-built, highly dynamic Moving Average that adapts itself intelligently based on:
Trend Strength (via Perry Kaufman's Efficiency Ratio)
Market Volatility (via Tushar Chande's Volatility Ratio)
It reacts faster when the market is trending strongly and/or highly volatile,
and it smooths out and slows down when the market is choppy or calm.
🔍 How it works (step-by-step):
1. User Inputs:
length: (default 14)
How many bars to look back for calculations.
fastSC: Fastest possible smoothing constant (hardcoded as 2 / (2+1))
slowSC: Slowest possible smoothing constant (hardcoded as 2 / (30+1))
(These are used to control how fast/slow the KAMA can react.)
2. Calculate Trendiness — Kaufman Efficiency Ratio (ER):
Net Change = Absolute difference between current close and close from length bars ago.
Sum of Absolute Changes = Sum of absolute price changes between every bar inside the length window.
Efficiency Ratio (ER) = Net Change divided by Sum of Changes.
✅ If ER is close to 1 → Smooth, trending market.
✅ If ER is close to 0 → Choppy, sideways market.
3. Calculate Bumpiness — Volatility Ratio (VR):
Short-Term Volatility = Standard deviation of close over length.
Long-Term Volatility = Standard deviation of close over length * 2.
Volatility Ratio (VR) = Short-Term Volatility divided by Long-Term Volatility.
✅ If VR is >1 → Market is becoming more volatile recently.
✅ If VR is <1 → Market is calming down.
4. Create the Hybrid Alpha:
Multiply ER × VR.
Then square the result (math.pow(..., 2)).
This hybrid alpha decides how aggressive the MA should be based on both trend and volatility.
If ER and VR are both strong → big alpha → fast movement.
If ER and/or VR are weak → small alpha → slow movement.
5. Calculate the Final Adaptive Smoothing Constant (hybridSC):
hybridSC = slowSC + hybridAlpha × (fastSC - slowSC)
This smoothly interpolates between the slowest and fastest smoothing depending on market conditions.
6. Calculate and Plot the Adaptive MA:
The moving average is manually calculated:
hybridMA := na(hybridMA ) ? close : hybridMA + hybridSC * (close - hybridMA )
It behaves like an EMA but with dynamic smoothing, not a fixed alpha.
✅ If hybridSC is high → MA hugs the price closely.
✅ If hybridSC is low → MA stays smooth and resists noise.
Finally, it plots this Adaptive MA on the chart in blue color.
📊 Visual Summary
Market Type What Happens to GAMA
Trending hard + volatile Follows price quickly
Trending hard + calm Follows steadily but carefully
Sideways + volatile Reacts carefully (won't chase noise)
Sideways + calm Smooths heavily (avoids fakeouts)
✨ Main Strengths:
Adapts automatically without you tuning settings manually every time market changes.
Responds smartly to both trend quality (ER) and market energy (VR).
Reduces lag during real moves.
Filters out false signals during choppy mess.
🧪 Key Innovation compared to normal MAs:
Traditional MA Gabriel's Adaptive MA
Same smoothing every bar Dynamic smoothing every bar
Slow during fast moves Adapts fast during real moves
No understanding of volatility or trendiness Full market sensitivity
⚡ **Simple One-Line Description:**
"Gabriel's Adaptive MA is a dynamic, trend-and-volatility-sensitive moving average that intelligently adjusts its speed to match market conditions."
Cari dalam skrip untuk "smart"
Scalp Strategy by Trade Journey📘 Trading Strategy: "Delta Flow Scalper"
Author: @Trad_journey
Type: Scalping / Intraday
Timeframes:
- Context: 1H
- Entry Points: 15m
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🎯 Core Idea
We use a powerful tool — the Delta-RSI Oscillator (D-RSI), which calculates the derivative of RSI using polynomial regression. This oscillator doesn't just show the strength of price movement but reveals how that strength changes over time.
By combining this with order flow analysis on the 1H timeframe, we can spot reversals and momentum bursts within a prevailing trend, where the D-RSI is most accurate.
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🔍 Strategy Logic
1. Context (1H)
Before entering a trade on the 15m chart, we determine:
- The trend on 1H using candle structure, levels, EMAs, volume, VSA, and other methods.
- Example: If 1H shows a series of higher highs/lows and rising volume — it indicates an uptrend.
2. Entry Signals (15m)
Entry is based on the D-RSI, configured with manually optimized settings:
- RSI Length: 14
- Polynomial Order: 2
- Window Length: 14
- Signal EMA: 7
- RMSE Filtering: Enabled, e.g., with a 10% threshold
Entry Conditions (any of the following):
- Zero-Crossing: Oscillator crosses above zero (long) or below zero (short)
- Signal Line Cross: D-RSI crosses the signal EMA
- Direction Change: Oscillator was below zero and starts rising (long), or vice versa
3. Trade Filter
To improve accuracy:
- Polynomial Approximation Error Filter (RMSE) is used — this eliminates noisy signals.
- Ideally, confirm entries with a candlestick pattern or key level as well.
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📈 Example of Entry Logic
1. On 1H: Clear uptrend, candles with long lower wicks, volume increasing
2. On 15m: D-RSI was below zero, sharply started rising and crossed the signal line from below
3. RMSE < 10% → signal confirmed
4. Enter long, place stop below local low + spread
5. Exit:
- On opposite D-RSI signal
- Or at a take profit (e.g., 1.5R or a key level)
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⚙️ Settings
()
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📊 Why It Works
- D-RSI captures momentum shifts and trend acceleration — these often occur before price changes.
- RMSE filtering removes false signals during chop or weak movement.
- Using a higher timeframe gives directional context — entries are made in the trend's direction, drastically increasing win probability.
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🔔 Recommendations
- Don’t use without higher timeframe context — countertrend signals can be unprofitable.
- Best entries are after small pullbacks within a trend.
- You can add an ATR/volatility filter — to avoid signals in tight ranges.
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✅ Conclusion
Delta Flow Scalper is a plug-and-play strategy for traders looking for precise intraday entries within larger moves. It's great for those wanting to reduce noise and trade smartly with momentum.
Try it on demo, tweak it to fit your style — and go for it!
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + Order Blocks + Fibonacci OTE Levels
A High-Probability Entry Engine for Smart Money Concept Traders
This script combines three powerful Smart Money Concepts (SMC) into a single tool: Liquidity Grabs, Order Block Zones, and Fibonacci OTE Levels, allowing traders to identify institutional entry models with clean, rule-based visual signals.
It’s designed to simplify SMC trading by highlighting confluence zones where price is likely to reverse or continue — with clear visual zones, entry arrows, and take profit projections.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies when price sweeps above/below the highest high or lowest low within a user-defined lookback period and closes back inside.
Plots orange labels on the chart to signal potential liquidity events (LG-H / LG-L).
Plots Order Blocks After Liquidity Grabs
After a liquidity grab, the script looks for displacement candles (strong bullish or bearish moves) and draws highlighted OB zones extending several bars to the right.
These zones represent potential institutional footprints for price reversals.
Draws Fibonacci OTE Levels (Optimal Trade Entry)
Uses recent swing high and low pivots to automatically calculate OTE zones (default: 62% and 75% retracement levels).
Draws these retracement zones for both bullish and bearish setups.
Marks Valid OTE Entry Zones
Buy/Sell zones only trigger when:
A liquidity grab occurs,
Price enters the OTE zone,
And a strong confirming candle is present.
Plots green/red arrows for valid buy/sell OTE entries.
Auto-Draws Take Profit Zones
TP1 = Previous swing high/low
TP2 = Risk-based R-multiplied extension (e.g., 1.5R — customizable)
Alerts
Triggers alerts when valid buy or sell OTE setups are detected.
⚙️ Customization Features:
Toggle each feature: Liquidity Grabs, Order Blocks, Fibonacci OTE levels
Set Fibonacci retracement percentages (e.g., 0.62 / 0.75)
Adjust lookback window for liquidity detection
Customize the take-profit multiplier (R-based)
Full control over visuals: colors, labels, and lines
💡 How to Use:
Use this script to scan for high-confluence trade setups based on Smart Money principles.
Combine with session timing (e.g., New York open), major swing structure, or Kill Zone windows for maximum edge.
Look for arrows inside OB zones or OTE levels following liquidity sweeps for cleaner entries.
🔗 Works Best With:
✅ First FVG — Opening Range Fair Value Gap Detector: Identify early inefficiencies to set the narrative for the day.
✅ Liquidity Levels — Smart Swing Lows: Spot key structural lows that can fuel stop hunts and reversals.
✅ ICT Turtle Soup — Liquidity Reversal: Add a classic reversal pattern to your toolkit to catch fakeouts cleanly.
Together, these tools build a complete Smart Money ecosystem for entry precision, risk management, and price behavior forecasting.
Quarterly Theory ICT 04 [TradingFinder] SSMT 4Quarter Divergence🔵 Introduction
Sequential SMT Divergence is an advanced price-action-based analytical technique rooted in the ICT (Inner Circle Trader) methodology. Its primary objective is to identify early-stage divergences between correlated assets within precise time structures. This tool not only breaks down market structure but also enables traders to detect engineered liquidity traps before the market reacts.
In simple terms, SMT (Smart Money Technique) occurs when two correlated assets—such as indices (ES and NQ), currency pairs (EURUSD and GBPUSD), or commodities (Gold and Silver)—exhibit different reactions at key price levels (swing highs or lows). This lack of alignment is often a sign of smart money manipulation and signals a lack of confirmation in the ongoing trend—hinting at an imminent reversal or at least a pause in momentum.
In its Sequential form, SMT divergences are examined through a more granular temporal lens—between intraday quarters (Q1 through Q4). When SMT appears at the transition from one quarter to another (e.g., Q1 to Q2 or Q3 to Q4), the signal becomes significantly more powerful, often aligning with a critical phase in the Quarterly Theory—a framework that segments market behavior into four distinct phases: Accumulation, Manipulation, Distribution, and Reversal/Continuation.
For instance, a Bullish SMT forms when one asset prints a new low while its correlated counterpart fails to break the corresponding low from the previous quarter. This usually indicates absorption of selling pressure and the beginning of accumulation by smart money. Conversely, a Bearish SMT arises when one asset makes a higher high, but the second asset fails to confirm, signaling distribution or a fake-out before a decline.
However, SMT alone is not enough. To confirm a true Market Structure Break (MSB), the appearance of a Precision Swing Point (PSP) is essential—a specific candlestick formation on a lower timeframe (typically 5 to 15 minutes) that reveals the entry of institutional participants. The combination of SMT and PSP provides a more accurate entry point and better understanding of premium and discount zones.
The Sequential SMT Indicator, introduced in this article, dynamically scans charts for such divergence patterns across multiple sessions. It is applicable to various markets including Forex, crypto, commodities, and indices, and shows particularly strong performance during mid-week sessions (Wednesdays and Thursdays)—when most weekly highs and lows tend to form.
Bullish Sequential SMT :
Bearish Sequential SMT :
🔵 How to Use
The Sequential SMT (SSMT) indicator is designed to detect time and structure-based divergences between two correlated assets. This divergence occurs when both assets print a similar swing (high or low) in the previous quarter (e.g., Q3), but in the current quarter (e.g., Q4), only one asset manages to break that swing level—while the other fails to reach it.
This temporal mismatch is precisely identified by the SSMT indicator and often signals smart money activity, a market phase transition, or even the presence of an engineered liquidity trap. The signal becomes especially powerful when paired with a Precision Swing Point (PSP)—a confirming candle on lower timeframes (5m–15m) that typically indicates a market structure break (MSB) and the entry of smart liquidity.
🟣 Bullish Sequential SMT
In the previous quarter, both assets form a similar swing low.
In the current quarter, one asset (e.g., EURUSD) breaks that low and trades below it.
The other asset (e.g., GBPUSD) fails to reach the same low, preserving the structure.
This time-based divergence reflects declining selling pressure, potential absorption, and often marks the end of a manipulation phase and the start of accumulation. If confirmed by a bullish PSP candle, it offers a strong long opportunity, with stop-losses defined just below the swing low.
🟣 Bearish Sequential SMT
In the previous quarter, both assets form a similar swing high.
In the current quarter, one asset (e.g., NQ) breaks above that high.
The other asset (e.g., ES) fails to reach that high, remaining below it.
This type of divergence signals weakening bullish momentum and the likelihood of distribution or a fake-out before a price drop. When followed by a bearish PSP candle, it sets up a strong shorting opportunity with targets in the discount zone and protective stops placed above the swing high.
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include: Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection.
Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active).
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Bullish SMT Line : Draws a line connecting the bullish divergence points.
Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected.
Bullish Color : Sets the color for bullish SMT markers (label, shape, and line).
Show Bearish SMT Line : Draws a line for bearish divergence.
Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found.
Bearish Color : Sets the color for bearish SMT visual elements.
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequency :
All: Every signal triggers an alert.
Once Per Bar: Alerts once per bar regardless of how many signals occur.
Per Bar Close: Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
The Sequential SMT (SSMT) indicator is a powerful and precise tool for identifying structural divergences between correlated assets within a time-based framework. Unlike traditional divergence models that rely solely on sequential pivot comparisons, SSMT leverages Quarterly Theory, in combination with concepts like liquidity sweeps, market structure breaks (MSB) and precision swing points (PSP), to provide a deeper and more actionable view of market dynamics.
By using SSMT, traders gain not only the ability to identify where divergence occurs, but also when it matters most within the market cycle. This empowers them to anticipate major moves or traps before they fully materialize, and position themselves accordingly in high-probability trade zones.
Whether you're trading Forex, crypto, indices, or commodities, the true strength of this indicator is revealed when used in sync with the Accumulation, Manipulation, Distribution, and Reversal phases of the market. Integrated with other confluence tools and market models, SSMT can serve as a core component in a professional, rule-based, and highly personalized trading strategy.
Gabriel's Price Action Strategy🧠 Gabriel's Price Action Strategy — Smart Signal Sequence with Dynamic Risk Control
Created by: OneWallStreetQuant
Strategy Type: Momentum-based Sequence Logic + Smart Volume & RSI Filters
Ideal For: Intraday scalping, swing trading, and momentum trend entries on stocks, forex, crypto, indices.
🚀 Overview
Gabriel's Price Action Strategy is a multi-layered, logic-driven trading system that combines:
✅ Candle Sequence Detection: Detects persistent bullish/bearish momentum using a smart configurable sequence of green/red candles.
✅ Structure Break Filtering: Prevents entries if recent price invalidates the momentum setup (e.g., a red candle breaks a bullish low).
✅ Custom Volume Engine: Integrates a hybrid tick-volume model using Negative/Positive Volume Index (NVI-PVI) to identify smart money flows.
✅ Advanced RSI Logic: Uses Jurik RSX for accurate oversold/overbought filtering.
✅ Optional MTF Trend Filter: Validates trend direction using a slope-based Jurik MA on higher timeframes.
✅ MPT-Based DMI Filter: Adds pyramid entries only during strong trend phases, based on Gain/Pain ratios and Ulcer-index smoothed ADX.
✅ Risk Management: ATR-based SL/TP and fully customizable trailing logic for both profit and stop-loss.
📈 Entry Logic
Trades are triggered only when:
A minimum number of recent candles are bullish/bearish (Min Green/Red Candles)
Structure has not been broken by opposite price action (optional)
Relative volume exceeds average (optional)
RSI is below overbought or above oversold (optional)
MTF slope is aligned with trend direction (optional)
💡 Key Features
Custom Candle Logic: Detects momentum shifts using a tunable lookback window (up to 50 bars).
Smart Volume Filtering: Volume is intelligently estimated using tick-based ranges and NVI-PVI deltas.
Risk Management Built-in: Set your ATR length, SL/TP multipliers, and dynamic trailing offsets with full control.
Scorecard System: A built-in scoring engine evaluates Win Rate, Drawdown, Sharpe Ratio, Recovery Factor, and Profit Factor — visualized on chart as a label.
Backtest-Friendly: Includes date range toggles, bar-magnifier support, and optimized execution on every tick.
📊 Strategy Scorecard (Label)
Automatically calculates:
✅ Total Trades
✅ Win Rate (%)
✅ Net Profit
✅ Profit Factor
✅ Expected Payoff
✅ Max & Avg Drawdown
✅ Recovery Factor
✅ Sharpe Ratio
✅ VaR (95%)
Plus, assigns a normalized score from 0 to 100 for evaluating overall robustness.
⚙️ Customization
Every module — from entry filters to pyramiding and trailing logic — is fully configurable:
Volume Filters ✅
RSI Filters ✅
Structure Break Checks ✅
HTF Jurik MA & Slope Threshold ✅
Multi-Timeframe Mode ✅
Backtest Score Visualization ✅
⚠️ Notes
Enable bar magnifier and calc on every tick for best accuracy.
On early bars, signal logic may delay until enough candles are available.
Best paired with assets showing directional volatility (SPY, BTC, ETH, Gold, etc.).
Ideally paired on trending timeframes such as M1, M5, M15, M30, 1HR, 4 Hourly, Daily, Weekly, Monthly, etc.
Institutional Activity AnalysisThe Institutional Activity Analysis (IAA) indicator is a powerful tool designed to help traders identify potential institutional buying and selling activity in the market. By analyzing volume, price movement, and accumulation/distribution trends, this indicator provides insights into market dynamics that may signal significant activity.
This indicator is not a buy or sell recommendation but rather a tool to assist traders in understanding market behavior. It should be used in conjunction with other technical analysis tools and strategies for a comprehensive trading approach.
Key Features:
Smart Money Flow Index (SMFI):
1). Tracks the flow of "smart money" by analyzing price action relative to volume.
2). Helps identify whether institutional activity is bullish or bearish.
Accumulation/Distribution (Acc/Dist):
1). Measures buying and selling pressure in the market.
2). Indicates whether the market is in an accumulation (buying) or distribution (selling) phase.
Volume Spike Detection:
1. Identifies unusual volume spikes that may signal institutional activity.
2. Highlights these spikes with a yellow circle on the chart.
Significant Price Movement:
1. Detects strong price movements accompanied by high volume.
2. Marks these movements with a green triangle on the chart.
Customizable Dashboard:
1. Displays key metrics such as volume flow, smart money flow, accumulation/distribution, and volatility.
2. Includes visual signals for volume spikes and significant moves.
3. The dashboard can be positioned anywhere on the chart or turned off.
Heatmap for Activity Intensity:
1. Visualizes the intensity of market activity by combining volume and price volatility.
How to Read the Indicator:
Smart Money Flow (SMFI):
1. A positive SMFI value indicates bullish institutional activity.
2. A negative SMFI value suggests bearish institutional activity.
3. The blue line on the indicator represents the smoothed SMFI.
Accumulation/Distribution (Acc/Dist):
1. A positive slope indicates accumulation (buying pressure).
2. A negative slope indicates distribution (selling pressure).
3. The purple line on the indicator shows the smoothed Acc/Dist slope.
Volume Spikes:
1. Yellow circles on the chart indicate unusual volume spikes.
2. These spikes may signal institutional interest or significant market activity.
Significant Price Movements:
1. Green triangles on the chart highlight strong price movements with high volume.
2. These movements may indicate potential breakouts or reversals.
Dashboard:
The dashboard provides a quick summary of key metrics:
1. Volume Flow: Indicates whether volume is above or below the average.
2. Smart Money: Shows whether institutional activity is bullish or bearish.
3. Acc/Dist: Displays whether the market is in accumulation or distribution.
4. Volatility: Provides the current volatility level.
5. Signals: Highlights whether there are volume spikes or significant moves.
How to Use the Indicator:
Identify Institutional Activity:
1. Look for confluences between volume spikes, significant price movements, and the direction of the SMFI and Acc/Dist slope.
2. For example, a volume spike combined with a positive SMFI and accumulation may indicate bullish institutional activity.
Confirm Market Trends:
1. Use the indicator to confirm trends by analyzing the direction of the SMFI and Acc/Dist slope.
2. A rising SMFI and positive Acc/Dist slope suggest a strong uptrend, while the opposite indicates a downtrend.
Monitor Volatility:
1. High volatility combined with volume spikes may signal potential breakouts or reversals.
2. Use the volatility metric on the dashboard to gauge market conditions.
Set Alerts:
1. Use the built-in alert conditions to get notified of volume spikes and significant price movements.
2. Alerts can help you stay informed about potential market opportunities.
Important Notes:
1. This is not a buy or sell recommendation. The IAA indicator is a technical analysis tool designed to provide insights into market activity. Always use it in conjunction with other tools and strategies.
2. The indicator works best when combined with other forms of analysis, such as support/resistance levels, trendlines, and candlestick patterns.
3. Past performance is not indicative of future results. Always practice proper risk management and trade responsibly.
Customization:
The indicator includes several customizable settings:
1. Volume Spike Threshold: Adjust the sensitivity for detecting volume spikes.
2. Smoothing Period: Change the period for calculating SMFI and Acc/Dist.
3. Price Movement Threshold: Modify the sensitivity for detecting significant price movements.
4. Dashboard Position: Move the dashboard to any corner of the chart or turn it off.
5. Visual Settings: Customize the colors and transparency of the dashboard and signals.
Example Use Case:
Imagine you're analyzing a stock that has been consolidating for several days. Suddenly, the IAA indicator detects:
1. A volume spike (yellow circle),
2. A significant price movement (green triangle),
3. A positive SMFI (bullish smart money flow),
4. And an accumulation phase (positive Acc/Dist slope).
This confluence of signals may indicate that institutional buyers are entering the market, potentially leading to a breakout. You can then use this information to plan your trade, such as setting alerts or monitoring for confirmation from other indicators.
Disclaimer:
The Institutional Activity Analysis (IAA) indicator is for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any security. Always conduct your own research and consult with a financial advisor before making trading decisions. Use this tool responsibly and at your own risk.
Demand and Supply MTF with SMC By StockFusion - 3.0Demand and Supply MTF with SMC By StockFusion - 3.0 - Indicator Description
Concepts
What is Supply & Demand?
Supply and Demand are foundational forces driving market dynamics. Demand reflects the presence of buyers willing to purchase a security, while Supply indicates sellers offering it for sale. These forces create zones on the chart where price tends to react—either reversing or continuing—based on the balance between buying and selling pressure. This indicator identifies these zones using price action patterns, focusing on impulsive moves (strong directional momentum) and retracement phases (consolidation or pullbacks).
What is SMC (Smart Money Concepts)?
Smart Money Concepts (SMC) revolve around tracking the behavior of institutional traders, often called "smart money." By analyzing price action, market structure shifts, and liquidity, SMC helps retail traders align with the moves of larger players. Key SMC signals like Change of Character (CHoCH), Break of Structure (BOS), liquidity sweeps, and swing points provide insights into potential trend changes or continuations.
Overview
Demand and Supply MTF with SMC By StockFusion - 3.0 is a sophisticated, price action-based indicator designed to plot real-time Supply and Demand zones across multiple timeframes (MTF) directly on your chart. It goes beyond simple zone plotting by integrating Smart Money Concepts (SMC) and Inside Candle detection, offering traders a powerful tool for spotting high-probability reversal or continuation areas. The indicator highlights zones with customizable boxes, labels them for clarity, and provides additional SMC-driven insights such as CHoCH, BOS, liquidity sweeps, and swing high/low levels. This combination of multi-timeframe analysis, SMC, and consolidation detection creates a unique and highly practical tool for traders seeking an edge in the markets.
How It Works
The indicator operates by analyzing price action across two user-defined timeframes (Higher TF and Lower TF) to detect Supply and Demand zones. It identifies these zones based on specific price patterns:
Rally Base Rally (RBR): A bullish impulsive move, followed by consolidation, then another bullish move—indicating a Demand zone.
Drop Base Drop (DBD): A bearish impulsive move, consolidation, then another bearish move—indicating a Supply zone.
Drop Base Rally (DBR): A bearish move, consolidation, then a bullish reversal—indicating a Demand zone.
Rally Base Drop (RBD): A bullish move, consolidation, then a bearish reversal—indicating a Supply zone.
These patterns are detected using criteria like explosive candle movements (based on range-to-body ratios and ATR multipliers), volume thresholds, and base candle counts (configurable from 1 to 5 candles). Zones are plotted as horizontal bands, with Higher TF zones taking precedence to avoid overlap with Lower TF zones, ensuring clarity on the chart.
Smart Money Integration:
The indicator enhances zone analysis with SMC features:
CHoCH (Change of Character): Detects shifts in market sentiment by comparing price action against recent swing highs/lows over a customizable period.
BOS (Break of Structure): Identifies when price breaks key structural levels, signaling a potential trend shift.
Liquidity Sweeps: Marks areas where price briefly exceeds swing points before reversing, often targeting stop-loss orders.
Swings: Highlights significant swing highs and lows to track momentum and structure.
Inside Candle Detection:
Inside Candles—smaller candles contained within the range of a prior candle—are plotted to indicate consolidation or indecision, often preceding breakouts. Optional lines can be drawn around these candles for better visibility.
Key Features & How to Use
Real-Time Zone Plotting:
Automatically identifies and marks Supply and Demand zones as they form, using the RBR, RBD, DBR, and DBD patterns. Zones are color-coded (e.g., green for Demand, red for Supply) and can extend rightward for visibility.
Multi-Timeframe Analysis:
Operates on all timeframes, with separate settings for Higher TF (e.g., weekly) and Lower TF (e.g., daily) zones. This allows traders to see both macro and micro levels of market structure.
Automatic Detection:
No manual input is required—zones are plotted based on price action, volume, and SMA trends. Live candle volume is displayed for context.
Tested Zone Management:
Optionally removes zones after they’re tested (price revisits and reverses) or after a second leg-out move, keeping the chart uncluttered.
Customizable Display:
Choose which patterns to detect (RBR, RBD, etc.).
Adjust base candle counts (1-5), explosive candle parameters (Range-Body Ratio, Multiplier), and quality filters (SMA length, Volume Multiplier).
Customize colors for zones, borders, labels, and candles (boring, bullish explosive, bearish explosive).
Enable/disable labels and pattern names on boxes.
Alerts:
Set notifications for zone formation, CHoCH, BOS, and liquidity sweeps on your chosen timeframe.
Inside Candle Visualization:
Highlights consolidation phases with color-coded candles and optional lines, aiding breakout anticipation.
SMC Insights:
Visualizes CHoCH, BOS, liquidity sweeps, and swings with distinct lines and labels, helping traders follow institutional moves.
How to Use It:
Approaching Zones: When price nears a Supply or Demand zone, watch for reversal patterns (e.g., pin bars, engulfing candles) or SMC signals (e.g., BOS, liquidity sweeps) to confirm entries. Combine with your tested strategy—don’t trade zones blindly.
SMC Signals: Use CHoCH for early trend reversal clues, BOS for trend continuation, and liquidity sweeps to gauge manipulation.
Inside Candles: Monitor for breakouts after consolidation periods marked by Inside Candles.
Why It’s Unique & Valuable
This indicator stands out by blending multi-timeframe Supply and Demand analysis with Smart Money Concepts and Inside Candle detection into a single, cohesive tool. While it uses classic elements like price action and volume, its proprietary logic—combining specific pattern detection (RBR, RBD, DBR, DBD), SMC signals (CHoCH, BOS, etc.), and consolidation tracking—offers a fresh approach. Unlike generic trend-following or scalping tools, it provides actionable insights into market structure and institutional behavior, making it worth considering for traders willing to invest in a premium tool. The flexibility of customization and MTF functionality further enhances its utility across trading styles, from scalping to swing trading.
TradeDots - Buy Sell Signals ProThe TradeDots - Buy Sell Signals Pro is an advanced technical analysis tool engineered to identify key market turning points and trend continuations. By combining multiple confirmation methods, this indicator provides traders with a comprehensive system for recognizing high-probability entry and exit points across various market conditions.
📝 HOW IT WORKS
Enhanced Supertrend Implementation
Unlike the traditional Supertrend indicator that simply changes color when price crosses above or below a calculated line, our implementation incorporates multiple layers of confirmation:
Advanced Calculation: Uses an enhanced ATR-based algorithm that incorporates trend bias detection and momentum filtering
Multi-Factor Confirmation: Considers price interaction with previous Supertrend values, not just current crossovers
Contextual Awareness: Distinguishes between different entry types based on market risk levels and momentum conditions
Visual Enhancement: Provides background shading to clearly indicate trend direction and strength
Smart Trendline Algorithm
The indicator employs a proprietary Smart Trendline that adapts to market conditions using an advanced moving average system. Unlike traditional moving averages that simply track price, the Smart Trendline incorporates volatility data to change colors based on momentum strength, providing immediate visual feedback about the current market phase with zero lag.
Calculation: Processes price data through selectable advanced calculation methods (including Hull, Jurik, and McGinley averages) with dynamic color-coding based on a modified Keltner Channel system.
Visualization: Green indicates strong bullish momentum, purple represents bearish momentum, and gray signals consolidation or uncertain conditions.
Multi-Signal Confirmation System
The indicator integrates three distinct signal mechanisms to confirm trading opportunities:
1. RSI-Sequential Reversal Signals: Combines RSI levels with seq count patterns to identify potential short-term reversals.
Calculation: Analyzes RSI conditions against specific thresholds while tracking consecutive pattern formations.
Visualization: Green triangles for buy signals and red triangles for sell signals.
2. Statistical Reversal Signals: Identifies statistically significant deviations from normal price behavior.
Calculation: Uses a modified standard deviation approach to determine when price has moved too far from its statistical average.
Visualization: Large green arrows emoji for powerful buy signals and red arrows emoji for powerful sell signals.
3. Supply & Demand Zone Detection: Automatically identifies key price levels where significant buying or selling pressure may exist.
Calculation: Uses RSI extremes combined with confirmation periods to establish high-probability reversal zones.
Visualization: Green-filled areas mark support (demand) zones and red-filled areas mark resistance (supply) zones.
Buy/Sell Signal Generation
The system generates several types of signals with varying strengths:
1. Regular Buy/Sell Signals: Generated when:
Price crosses with MA above/below the Supertrend line
RSI conditions confirm the direction
Candlestick patterns support the signal direction (bullish/bearish candle formation)
Visualized as green/red triangles
2. Strong Buy/Sell Signals: Appear when multiple confirmation factors align:
Regular buy/sell condition is met
Price is interacting with a Supply/Demand zone
Additional momentum confirmation from auxiliary indicators
Seq count reaches significant levels
Statistical Reversal signal confirms the direction
3. Breakout Signals: Special case signals that appear during:
Trend transitions after consolidation
When price breaks through significant resistance/support levels from previous trend
Following pattern completions that suggest increased momentum
Market Structure Analysis
The indicator categorizes market conditions and provides visual cues for traders:
Trend Identification: Supertrend-based algorithm with enhanced visual presentation identifies the prevailing market direction.
Bar Coloring System: Candles change color based on price position relative to EMAs to clearly display strength and direction of momentum
🛠️ HOW TO USE
Signal Interpretation
Buy Signals: "Buy" signals, Green triangles (RSI-Sequential) and large green arrows (Statistical Reversals) appear at potential buy points.
Sell Signals: "Sell" signals, Red triangles (RSI-Sequential) and large red arrows (Statistical Reversals) appear at potential sell points.
Highest Probability Entries: Occur when signals appear near or within Supply & Demand zones.
Trading Strategies
Trend-Following Strategy
1. Identify the main trend using the Smart Trendline color
2. Enter long positions during uptrends when:
Price pulls back to the Smart Trendline
Green triangles or arrows appear
Signals occur near green demand zones
3. Enter short positions during downtrends when:
Price bounces up to the Smart Trendline
Red triangles or arrows appear
Signals occur near red supply zones
Counter-Trend/Reversal Strategy
1. Look for Statistical Reversal arrows at significant price extremes
2. Confirm with an RSI-Sequential signal in the same direction
3. Pay special attention when these signals appear inside Supply & Demand zones
4. Use the Smart Trendline color change as additional confirmation
Multiple Confirmation Technique
For highest probability trades, look for:
Signal alignment (both signal types in same direction)
Supply/Demand zone interaction
Smart Trendline color supporting the signal direction
❗️LIMITATIONS
Signal Lag: The system identifies reversals after they have begun, potentially missing the absolute bottom or top.
False Signals: Can occur during periods of high volatility or range-bound markets.
Timeframe Sensitivity: Some signals work better on higher timeframes for long-term trading, while others are more effective on lower timeframes for short-term trading.
Bar Closing Requirement: All signals are based on closed candles and may be subject to change until the candle closes.
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only. Past performance is not indicative of future results.
This indicator should be used as part of a complete trading approach that includes proper risk management, consideration of the broader market context, and confirmation from price action patterns. No trading system can guarantee profits, and users should always exercise caution and use appropriate position sizing.
Uptrick: Acceleration ShiftsIntroduction
Uptrick: Acceleration Shifts is designed to measure and visualize price momentum shifts by focusing on acceleration —the rate of change in velocity over time. It uses various moving average techniques as a trend filter, providing traders with a clearer perspective on market direction and potential trade entries or exits.
Purpose
The main goal of this indicator is to spot strong momentum changes (accelerations) and confirm them with a chosen trend filter. It attempts to distinguish genuine market moves from noise, helping traders make more informed decisions. The script can also trigger multiple entries (smart pyramiding) within the same trend, if desired.
Overview
By measuring how quickly price velocity changes (acceleration) and comparing it against a smoothed average of itself, this script generates buy or sell signals once the acceleration surpasses a given threshold. A trend filter is added for further validation. Users can choose from multiple smoothing methods and color schemes, and they can optionally enable a small table that displays real-time acceleration values.
Originality and Uniqueness
This script offers an acceleration-based approach, backed by several different moving average choices. The blend of acceleration thresholds, a trend filter, and an optional extra-entry (pyramiding) feature provides a flexible toolkit for various trading styles. The inclusion of multiple color themes and a slope-based coloring of the trend line adds clarity and user customization.
Inputs & Features
1. Acceleration Length (length)
This input determines the number of bars used when calculating velocity. Specifically, the script computes velocity by taking the difference in closing prices over length bars, and then calculates acceleration based on how that velocity changes over an additional length. The default is 14.
2. Trend Filter Length (smoothing)
This sets the lookback period for the chosen trend filter method. The default of 50 results in a moderately smooth trend line. A higher smoothing value will create a slower-moving trend filter.
3. Acceleration Threshold (threshold)
This multiplier determines when acceleration is considered strong enough to trigger a main buy or sell signal. A default value of 2.5 means the current acceleration must exceed 2.5 times the average acceleration before signaling.
4. Smart Pyramiding Strength (pyramidingThreshold)
This lower threshold is used for additional (pyramiding) entries once the main trend has already been identified. For instance, if set to 0.5, the script looks for acceleration crossing ±0.5 times its average acceleration to add extra positions.
5. Max Pyramiding Entries (maxPyramidingEntries)
This sets a limit on how many extra positions can be opened (beyond the first main signal) in a single directional trend. The default of 3 ensures traders do not become overexposed.
6. Show Acceleration Table (showTable)
When enabled, a small table displaying the current acceleration and its average is added to the top-right corner of the chart. This table helps monitor real-time momentum changes.
7. Smart Pyramiding (enablePyramiding)
This toggle decides whether additional entries (buy or sell) will be generated once a main signal is active. If enabled, these extra signals act as filtered entries, only firing when acceleration re-crosses a smaller threshold (pyramidingThreshold). These signals have a '+' next to their signal on the label.
8. Select Color Scheme (selectedColorScheme)
Allows choosing between various pre-coded color themes, such as Default, Emerald, Sapphire, Golden Blaze, Mystic, Monochrome, Pastel, Vibrant, Earth, or Neon. Each theme applies a distinct pair of colors for bullish and bearish conditions.
9. Trend Filter (TrendFilter)
Lets the user pick one of several moving average approaches to determine the prevailing trend. The options include:
Short Term (TEMA)
EWMA
Medium Term (HMA)
Classic (SMA)
Quick Reaction (DEMA)
Each method behaves differently, balancing reactivity and smoothness.
10. Slope Lookback (slopeOffset)
Used to measure the slope of the trend filter over a set number of bars (default is 10). This slope then influences the coloring of the trend filter line, indicating bullish or bearish tilt.
Note: The script refers to this as the "Massive Slope Index," but it effectively serves as a Trend Slope Calculation, measuring how the chosen trend filter changes over a specified period.
11. Alerts for Buy/Sell and Pyramiding Signals
The script includes built-in alert conditions that can be enabled or configured. These alerts trigger whenever the script detects a main Buy or Sell signal, as well as extra (pyramiding) signals if Smart Pyramiding is active. This feature allows traders to receive immediate notifications or automate a trading response.
Calculation Methodology
1. Velocity and Acceleration
Velocity is derived by subtracting the closing price from its value length bars ago. Acceleration is the difference in velocity over an additional length period. This highlights how quickly momentum is shifting.
2. Average Acceleration
The script smooths raw acceleration with a simple moving average (SMA) using the smoothing input. Comparing current acceleration against this average provides a threshold-based signal mechanism.
3. Trend Filter
Users can pick one of five moving average types to form a trend baseline. These range from quick-reacting methods (DEMA, TEMA) to smoother options (SMA, HMA, EWMA). The script checks whether the price is above or below this filter to confirm trend direction.
4. Buy/Sell Logic
A buy occurs when acceleration surpasses avgAcceleration * threshold and price closes above the trend filter. A sell occurs under the opposite conditions. An additional overbought/oversold check (based on a longer SMA) refines these signals further.
When price is considered oversold (i.e., close is below a longer-term SMA), a bullish acceleration signal has a higher likelihood of success because it indicates that the market is attempting to reverse from a lower price region. Conversely, when price is considered overbought (close is above this longer-term SMA), a bearish acceleration signal is more likely to be valid. This helps reduce false signals by waiting until the market is extended enough that a reversal or continuation has a stronger chance of following through.
5. Smart Pyramiding
Once a main buy or sell signal is triggered, additional (filtered) entries can be taken if acceleration crosses a smaller multiplier (pyramidingThreshold). This helps traders scale into strong moves. The script enforces a cap (maxPyramidingEntries) to limit risk.
6. Visual Elements
Candles can be recolored based on the active signal. Labels appear on the chart whenever a main or pyramiding entry signal is triggered. An optional table can show real-time acceleration values.
Color Schemes
The script includes a variety of predefined color themes. For bullish conditions, it might use turquoise or green, and for bearish conditions, magenta or red—depending on which color scheme the user selects. Each scheme aims to provide clear visual differentiation between bullish and bearish market states.
Why Each Indicator Was Part of This Component
Acceleration is employed to detect swift changes in momentum, capturing shifts that may not yet appear in more traditional measures. To further adapt to different trading styles and market conditions, several moving average methods are incorporated:
• TEMA (Triple Exponential Moving Average) is chosen for its ability to reduce lag more effectively than a standard EMA while still reacting swiftly to price changes. Its construction layers exponential smoothing in a way that can highlight sudden momentum shifts without sacrificing too much smoothness.
• DEMA (Double Exponential Moving Average) provides a faster response than a single EMA by using two layers of exponential smoothing. It is slightly less smoothed than TEMA but can alert traders to momentum changes earlier, though with a higher risk of noise in choppier markets.
• HMA (Hull Moving Average) is known for its balance of smoothness and reduced lag. Its weighted calculations help track trend direction clearly, making it useful for traders who want a smoother line that still reacts fairly quickly.
• SMA (Simple Moving Average) is the classic baseline for smoothing price data. It offers a clear, stable perspective on long-term trends, though it reacts more slowly than other methods. Its simplicity can be beneficial in lower-volatility or more stable market environments.
• EWMA (Exponentially Weighted Moving Average) provides a middle ground by emphasizing recent price data while still retaining some degree of smoothing. It typically responds faster than an SMA but is less aggressive than DEMA or TEMA.
Alongside these moving average techniques, the script employs a slope calculation (referred to as the “Massive Slope Index”) to visually indicate whether the chosen filter is sloping upward or downward. This adds an extra layer of clarity to directional analysis. The indicator also uses overbought/oversold checks, based on a longer-term SMA, to help filter out signals in overstretched markets—reducing the likelihood of false entries in conditions where the price is already extensively extended.
Additional Features
Alerts can be set up for both main signals and additional pyramiding signals, which is helpful for automated or semi-automated trading. The optional acceleration table offers quick reference values, making momentum monitoring more intuitive. Including explicit alert conditions for Buy/Sell and Pyramiding ensures traders can respond promptly to market movements or integrate these triggers into automated strategies.
Summary
This script serves as a comprehensive momentum-based trading framework, leveraging acceleration metrics and multiple moving average filters to identify potential shifts in market direction. By combining overbought/oversold checks with threshold-based triggers, it aims to reduce the noise that commonly plagues purely reactive indicators. The flexibility of Smart Pyramiding, customizable color schemes, and built-in alerts allows users to tailor their experience and respond swiftly to valid signals, potentially enhancing trading decisions across various market conditions.
Disclaimer
All trading involves significant risk, and users should apply their own judgment, risk management, and broader analysis before making investment decisions.
Exchange and Symbol by BULL┃NETThe B | N EXSY (Exchange and Symbol by BULL | NET)
indicator provides traders using CFD brokers with the most significant price and time events from the stock exchange of the underlying original index or security. For example traders are able to easily identify the price at the Daily Open and Close time of up to three additional stock exchanges. Traders can choose from a huge list of options including the values from the current and previous Day, Week, Month and Year. In addition traders can enable the display of the Expected Move by either implied or historical volatility. The indicator can show Open Gaps (gap between close and open of two trading sessions) also which traders would usually see only on the original chart of an index or security.
The B | N EXSY indicator can help traders to make better entry decisions based on the real market sessions.
█ ⚠️ DISCLAIMER – READ BEFORE YOU USE ⚠️
█ CONCEPTS
CFD Brokers allow you to trade many indices, securities and assets up to 24 hours per day and 7 days per week (24/7). Other than Crypto Assets indices and securities get the highest transaction volume during the session of a stock market. Most importantly while its “Home Stock Market” is open.
For example the NASDAQ or S&P500 will see the highest volume during the business hours of the New York Stock Exchange (NYSE) between 9:30am and 4:00pm (America New York Time). Most CFD Providers however will open their Trading session approximately 9.5 hours before the NYSE opens and even 2 hours before Japan and Australia open the markets.
The German DAX on the other hand is listed on the Deutsche Börse Xetra which is open from 9:00 to 17:00 (Europe Berlin Time). CFD Brokers will open the DAX for trading differently between 9 and 5.5 hours before the XETRA opens.
Therefore most available indicators for visualizing the day open will show different results. Traders at Broker A will tell a totally different story than traders at Broker B who opened 3 hours later.
Furthermore people trading the NASDAQ often keep an eye on the London Stock Exchange (LSE) as well and those trading the NIKKEI often watch the NYSE besides its home at the Japan Exchange Group (JPX).
Advanced traders know about the importance of those information and I have seen thousands of charts where people draw horizontal lines to mark the open and closing prices as well as the session highs and lows. They do it every day and often for different indices and securities. A time consuming job.
Here is where B | N EXSY steps in to give traders objective information for Intraday trading (Daily timeframe and below). More or less automatically. Choose your primary stock exchange (e.g. the NYSE if you trade the NASDAQ) and optionally a second and third stock exchange you are interested in. Individually select the price events you like to see or keep the defaults. Make your own cosmetic decision on how you want the data to be displayed. Save your chart and you will never have to draw a horizontal line again to see the High of the current session, the Low of last week, the monthly Open or yesterdays Close. Sharing ideas with other traders in the chat groups will be easy because everyone is relying on the same information. Even across different CFD Brokers (with slightly different prices of course). Your Technical Analysis can become much more efficient.
█ FEATURES
B | N EXSY is highly customizable. The default settings are optimized for the NASDAQ during the NYSE session. Following you get an overview of all options in the settings menu.
— LOWER TIMEFRAME
The “Lower Timeframe in Minutes” defaults to 30 minutes and should work with most CFD Brokers and stock exchanges. If not you will get a huge warning on the chart suggesting different settings. If e.g. a CFD Broker opens the Dax session at 3:15 but the XETRA opens at 9:00 you have to change the setting to 15.
— STOCK EXCHANGE
Primary is mandatory and defaults to NYSE (New York Stock Exchange) which is the home of the NASDAQ, the S&P 500, the Dow Jones and many others. Usually you select the home stock exchange of the instrument you trade. E.g. XETRA for the DAX, JPX for the NIKKEI or HKEX for the HANG SENG.
The Second and Third stock exchange is optional and defaults to NONE. If e.g. you trade Nvidia with NYSE as the primary stock exchange and you are interested in the High and Low of the European Session select LSE (London Stock Exchange) or XETRA (Deutsche Börse Xetra) as the second stock exchange. By default the indicator will show only information about the current day and week for the second and third stock exchange but you can change that later.
— VISUALIZE SESSIONS
Beginners and less advanced traders sometimes want to see the time span of a session. By default this feature is disabled because it adds more noise to the chart. You can select each of the three stock exchanges individually and select your preferred color.
— CUSTOM STOCK EXCHANGE
Whether your preferred Stock Exchange is missing in the dropdowns or you have a special purpose (see the HOW TO USE section) you can add your own ”Stock Exchange” to the chart.
Name and Country are optional and get displayed in tooltips only. Opening, Closing and Timezone are important. Enter the Open and Close time as HOUR:MINUTE in 24 hour notation (22:00 instead of 10:00pm). The timezone can be provided as time offset in GMT or UTC notation (e.g. GMT+2 or UTC-5) or as a time zone name listed in the IANA Time Zone Database ( e.g. "America/New_York" or “Europe/Berlin”). If you do it wrong the indicator will give wrong results or don’t work at all.
— EXPECTED MOVE IMPLIED VOLATILITY
With this setting you can enable the calculation and display of the Expected Move (EM). Option and Future traders should be familiar with this feature. Those who never heard about should read about it on the internet. Your favorite search engine will provide you with lots of information about it.
After enabling the feature you have to select a source to calculate the EM. The drop down menu contains popular sources and are named after the indices they are based on. It is crucial that the setting match the index, symbol or asset you are trading. If e.g. you are trading a CFD for the NASDAQ you have to select Nasdaq as source. Wrong settings will lead to wrong calculations.
If the source you need is missing you select manually and enter the implied Volatility in the field “Value for manual calculation”. If e.g. you trade the Nikkei you have to enter the current value of the JNIV manually because it is not listed at TradingView so I can’t add it.
The other settings control the Line Color and Style, the Label Color and Size as well as the Text Color.
The indicator will display the EM+ and EM- as well as the 2 and 3 Sigma EM +/-. On the Daily Chart it will display the Weekly Expected Moves. On any timeframe below you will get the Daily Expected Moves.
— EXPECTED MOVE HISTORICAL VOLATILITY
Other than the feature above, this one calculates the EM based on historical volatility.
After enabling the feature you have to enter the amount of days to look back to calculate volatility. Like you would do for a SMA, EMA or RSI. The default is 10 days. Depending on what asset you trade you might play a little with this setting.
The other settings control the Line Color and Style, the Label Color and Size as well as the Text Color.
Like with the Expected Move Implied Volatility this setting will show weekly data on the daily timeframe and daily information on intraday timeframes.
— LABEL AND LINE COSMETICS
The settings in this section control how lines and labels get positioned on the chart and which information the labels show.
● Bar Offset
The bar offset controls the horizontal distance to the last bar on the chart where lines end. By default it is “2” bars to the right. If you use other indicators which show information on the right side you can increase this value to avoid overlapping.
● Bar Anchor
The bar anchor controls where lines start. Default is “lastbar”.
Lastbar sets the start of lines to the last bar of the chart. This provides a very clean chart without lines crossing bars to the left.
Moving sets lines to start at the bar at which the price event occurred. The line for the daily open (DO) price will stay at the opening bar of the stock market and it will do so when it becomes the previous day open (PDO) the next day. The line that marks the session High (DH) will be anchored to the highest bar while the stock market is open. Therefore it might be moving with the advancing chart. The same counts for the session Low (DL). The next day these lines become the previous day high or low (PDH / PDL) and stay at the highest/lowest bar from the day before. This logic is forwarded to all other lines (weekly, monthly, yearly). This gives traders a quick orientation on which bar a price event occurred but a less clean chart.
If you choose Day as bar anchor all lines will start at the beginning of the Brokers trading session in which the price event took place. This is also true for the roll over event when e.g. the Week Open (WO) will become the Previous Week Open (PWO) next Week. Unlike the “moving” setting the new WO and PWO will be anchored to the beginning of the Week. Traders will have a box like view into the past.
● Label Distance Divisor
This setting is used to calculate the minimum vertical distance of labels in means of price points. The internal formular takes the day close price and divides it by the number entered in this field. If e.g. the daily closing price was 5000 the minimum vertical distance would become 1 price point if you enter 5000 for this setting. If the price difference of two events would then be less than 1 the labels would be positioned higher and lower to prevent overlapping. The default value is fine for the Nasdaq (~ 19000 / 5000 = 3.8 at the time of writing). For other indices, securities and assets you should change the divider to your likings or as needed to set the trigger for repositioning labels.
● Distance Modifier
This setting is used to control the vertical shift of the label. The default of Zero disables the setting and activates an internal function which makes a decision based on the used timeframe on the chart (0.1 less than m30, 0.5 from m30 to h4, 0.75 above h4 and 1 for daily). The logic takes the minimum vertical distance and multiplies it by the distance modifier.
In the example above for the label distance divider a label would shift by 1.9 price points on a 30 minute chart if two lines trigger the minimum vertical distance. On the upper line the label moves up and on the lower line it moves down. If three lines are too close to each other the label in the middle does not get moved. If more lines break the minimum distance some labels will overlap until the price is advancing. Those events happen most likely during the opening of a stock exchange.
Price events with equal price, e.g. Day and Week Open at the start of a new week or Day, Week, Month, Year High in the event of a new ATH will get lined up (stacked) horizontally.
While this cosmetic corrections have limits overlapping can be reduced to a minimum.
● Show Price
● Show Exchange
Labels can show up to three information. The price, the stock exchange and the event. The event however can’t be disabled. If you select both options you will see something like
5347.84 for the Day Close of the S&P 500 on the New York Stock Exchange
With this two settings you can disable the display of price and/or stock exchange.
If you have chosen to use more than one stock exchange the setting for “Show Exchange” will be ignored. Otherwise you would not know which Day Close (DC) or Day High (DH) belongs to which stock exchange
● Enable Tooltip
If you decide to hide the price and/or exchange on the label it can be useful to get this information in a tooltip while hovering with the mouse over the label. On the contrary it might become annoying with labels popping up if you have a nervous mouse finger. The feature is disabled by default.
● Equalize Label Size
The size of labels is one of the most discussed issues. Some say it is too small other say it is too big. Label size matters on different devices. “Normal” labels can be too large on a smartphone and too small on a 4k display. And the size is crucial for the automatic horizontal stacking of labels. You simply can’t line up a small, normal and large label in Pine Script (the programming language at TradingView). The stacking is done by prepending labels with spaces to shift them to the right.
This setting overloads all individual size settings for the price events below and activates the automatic horizontal stacking of labels with equal price. It is a convenient way to change the size of all labels with one click in case you have different layouts for different devices.
If you disable this feature you can set the label size individually but you lose the horizontal stacking. This can be useful for traders who display only a few price events or for educational purpose where you want to point out a special event.
— CURRENT DAY
This setting controls which price events of the current day (current session) get displayed and how they appear.
Primary O/C
Enable the Day Open (DO) and Close (DC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Day High (DH) and Low (DL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Day Open (DO) and Close (DC) for the second and third stock exchange. Enabled by default.
Other H/L
Enable the Day High (DH) and Low (DL) for the second and third stock exchange. Enabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— PREVIOS DAY
This setting controls which price events of the previous day get displayed and how they appear.
Primary O/C
Enable the Previous Day Open (PDO) and Close (PDC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Previous Day High (PDH) and Low (PDL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Previous Day Open (PDO) and Close (PDC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Previous Day High (PDH) and Low (PDL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— OPENING HOUR
This setting controls whether and how to display the famous opening hour (High and Low within the first 60 minutes after stock market opens)
Primary Cur
Display the Current Day Opening Hour High (OH) and Low (OL) for the primary stock exchange. Enabled by default.
Primary Pre
Display the Previous Day Opening Hour High (POH) and Low (POL) for the primary stock exchange. Enabled by default.
Other Cur
Display the Current Day Opening Hour High (OH) and Low (OL) for the second and third stock exchange. Disabled by default.
Other Pre
Display the Previous Day Opening Hour High (POH) and Low (POL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— CURRENT WEEK
This setting controls which price events of the current week get displayed and how they appear.
Primary O/C
Enable the Week Open (WO) and Close (WC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Week High (WH) and Low (WL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Week Open (WO) and Close (WC) for the second and third stock exchange. Enabled by default.
Other H/L
Enable the Week High (WH) and Low (WL) for the second and third stock exchange. Enabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— PREVIOUS WEEK
This setting controls which price events of the previous week get displayed and how they appear.
Primary O/C
Enable the Previous Week Open (PWO) and Close (PWC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Previous Week High (PWH) and Low (PWL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Previous Week Open (PWO) and Close (PWC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Previous Week High (PWH) and Low (PWL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— CURRENT MONTH
This setting controls which price events of the current month get displayed and how they appear.
Primary O/C
Enable the Month Open (MO) and Close (MC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Month High (MH) and Low (ML) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Month Open (MO) and Close (MC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Month High (MH) and Low (ML) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— PREVIOUS MONTH
This setting controls which price events of the previous month get displayed and how they appear.
Primary O/C
Enable the Previous Month Open (PMO) and Close (PMC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Previous Month High (PMH) and Low (PML) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Previous Month Open (PMO) and Close (PMC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Previous Month High (PMH) and Low (PML) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— CURRENT YEAR
This setting controls which price events of the current year get displayed and how they appear.
Primary O/C
Enable the Year Open (YO) and Close (YC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Year High (YH) and Low (YL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Year Open (YO) and Close (YC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Year High (YH) and Low (YL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— PREVIOUS YEAR
This setting controls which price events of the previous year get displayed and how they appear.
Primary O/C
Enable the Previous Year Open (PYO) and Close (PYC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Previous Year High (PYH) and Low (PYL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Previous Year Open (PYO) and Close (PYC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Previous Year High (PYH) and Low (PYL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— ALL TIME HIGH
This setting controls whether the All Time High gets displayed on the daily chart and how it appears. See the limitations section (Amount of data) for details why the ATH will be displayed in the daily timeframe only.
Primary ATH
Enable the All Time High (ATH) for the primary stock exchange. Enabled by default.
OTHER ATH
Enable the All Time High (ATH) for the second and third stock exchange. Enabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— GAPFINDER
If you look at the original charts of an index (not the CFD Broker chart) you will see mostly every day a price difference between the closing price of the last session and the opening price of the current session. There are many names for those gaps. I call them Open Gaps or Kassa Gaps. Advanced traders know the market tends to close those gaps more or less quickly. Which is one more reason to know where the real previous day close was.
There are market conditions where those gaps are not closed within the new session. Those gap leftovers will usually be closed in the future. Some earlier, some later. If those gaps get more and more you quickly lose track and if the time comes to close one of the gaps you might not remember or recognize the price has reached an old gap. The charts of CFDs don’t even show such gaps due to the fact they trade nearly 24 hours per day.
The Gapfinder will display such leftovers after the end of the next session. If e.g. the previous day close was at 18000 and the market opens the next session at 18200 we have an Open Gap of 200 price points. If the Low of this session is 18100 after the session closes there would be rest gap of 100 price points. The Gapfinder then would mark it with a rectangle colored according to the direction of the Gap.
Bullish gaps result from an opening price (DO) and the current Day Low (DL) being higher than the previous day close (PDC).
Bearish gaps arise from an opening price (DO) and the current Day High (DH) being lower than the previous day closing price (PDC).
If you like you can change the color for the gaps and the text color.
— MISCELLANEOUS
To streamline the appearance of prices they are set to display two decimals only. Numbers get rounded! However, trading currency pairs or crypto assets might need to display the full amount of decimals. In that case simply disable the setting “2 Decimals”.
By default the indicator will display a small table in the lower right corner of the chart. It contains information about the current symbol, the selected primary stock exchange and the volatility. If you don’t like or need it you can disable it.
The “Unreliable Data” checkbox usually should not affect you. But if it does it can be really helpful. The B | N EXSY indicator uses Lower Timeframe Data to match CFD Broker and Stock Exchange opening times. If e.g. a CFD Broker opens at 0:00 and the stock exchange at 9:30 the script uses data from the 30 Minutes timeframe if you view the chart at any timeframe higher than 30 Minutes. Why? Because if you chose a four hours timeframe there is simply no bar that starts at 9:30 in this case. The CFD brokers h4 bars will start at 0:00, 4:00, 8:00, 12:00 and so on.
Sometimes the data stream of the Broker and TradingView get out of sync and a 4 hour bar eventually returns just 6x 30 Minutes instead of 8. During development of the indicator I came across of at least two brokers with such an issue. Only in one time frame and a specific period of time. If this happens the price information might be wrong. A Day High might be to low, a Day Close missing or the Day Open not be found. In such cases your trade might fail. To prevent such situations the indicator performs a daily consistency check at 12:00 during the session for an exchange in its time zone if this option is enabled.
In case the data are found unreliable you will see a label above the bar with further information in the tooltip of the label. You should than compare the information from this timeframe with the lower timeframe selected in the field below. Anway, it is a rare issue and if you, like me, work on multiple timeframes in parallel this bug probably won’t affect you.
— HOLIDAYS
● Holidays
If there is a holiday on a stock market the original chart of an index will simply show no bars for that day. CFD Broker charts will only show no bars if it is an international holiday or the broker itself is affected by the holiday. Take for example Memorial Day in the U.S. Although the NYSE is closed you can trade e.g. the NASDAQ until around 17:30 European Time which is the closing time of the LSE and XETRA. Unfortunately the closing time in Europe is after the opening time in the U.S. If the price goes up in the overlapping time you eventually see a new Weekly High (WH) if you rely on the chart of the CFD Broker. To avoid such misleading information the B | N EXSY indicator allows you to enter holidays for each stock market individually. If the indicator finds a holiday it will not store or add data for this day.
By default there are already the market holidays entered for the NYSE, XETRA, FSX and LSE in 2024. If you want to add your own holidays you have to follow some simple rules:
1. The entry must start in a new line below existing entries (carriage return)
2. The entry starts with the shortcut of the stock exchange exactly as you see them in the dropdown menu.
3. The stock exchange gets separated from the holidays with a colon (:)
4. Each holiday is entered as YYYY-MM-DD
5. Holidays get separated with a single whitespace
The entry for the Japan Exchange Group (JPX) in 2025 would start with:
JPX: 2025-01-01, 2025-01-02, 2025-01-03, 2025-01-08
Completed by the rest of the holiday.
If you make your own entries please keep a copy of the line you added because it will be replaced by the defaults if the indicator gets an update. Best practices would be to provide your holiday string in the comment section and I add it as a default.
● Early Close
Some stock exchanges close the market early before some holidays. In that case the indicator won’t be able to fetch the closing price for that day and the daily roll over won’t work for the day after the holiday. To prevent chaos you can enter the days with early close in this field.
By default the early closing days of the NYSE are already entered. If you want to add your own early closing days you have to follow some simple rules:
1. The entry must start in a new line below existing entries (carriage return)
2. The entry starts with the shortcut of the stock exchange exactly as you see them in the dropdown menu.
3. The stock exchange gets separated from the days with a colon (:)
4. Each early closing day is entered as YYYY-MM-DD-HH-MM where HH-MM is the closing time of this day entered in 24 hours format in the timezone of the stock exchange
5. Days get separated with a single whitespace
The entry for the day before Thanksgiving at the NYSE in 2025 would be:
NYSE:2025-11-25-13-00
This is because the market will close early at 1:00 PM on November 25, 2025, the day before Thanksgiving. The time is provided in 24-hour format as 13:00.
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Disclaimer BullNet: The information provided in this document is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Any use of the content is at your own risk. No liability is assumed for any losses or damages resulting from reliance on this information. Trading financial instruments involves significant risks, including the potential loss of all invested capital. There is no guarantee of profits or specific outcomes. Please conduct your own research and consult a professional financial advisor if needed.
Disclaimer TradingView: According to the www.tradingview.com
Copyright: 2025-BULLNET - All rights reserved.
Roadmap:
Version 1.0 03.03.2025
Celestial Pair Spread Hello friends, after a very long time!
Today, I tried to put into code an idea that came to my mind spontaneously and suddenly.
Note :
This script is experimental and improvable.
I haven't had a chance to try it yet.
TIMEFRAME : 1D (Daily Bars)
CELESTIAL SPREAD
The spread moves in a very limited area and is consistent within itself, especially on days far from the end of the contract.
That's why there is a reassuring sky atmosphere. That's why this name was given completely improvised.
Basic logic of the script
We enter the name of the CME Futures contract we want to enter:
Ex : CL1! , ES1! , ZC1! , NQ1!
The script creates us a pair trade parity divided into secondary contracts.
Example : ES1!/ES2!
What is pair trading?
I will explain briefly here.
For users who are wondering:
www.investopedia.com
Let's get back to our topic.
Now we have created a parity that does not actually exist.
This parity is the manifestation of the relative movements of two contracts.
When the parity rises, ES1! increased,ES2! has fallen.
In the opposite case, We can say: ES1! Contract has been dropped ES2! has increased.
Pair trading is generally a trade that needs to be kept in mind from time to time.
It is a method preferred by professionals who can process very quickly.
Market risk is minimal, but since 2 contracts are purchased, more money is paid and very low percentage profits are made.
It is very expensive to do pair trading, especially with oil and its derivatives and interest security derivatives.
The contract we are considering has micros. (small-item contracts tied to the same value)
So when we switch to our broker MES1!/MES2! We will trade.
For all CME futures :
www.cmegroup.com
Anyway, let's continue:
The script created the parity showing its relationship with the next contract and plotted it as bars.
Celestial bands are just like Bollinger bands, but they consist of 3 bands based on percentage changes rather than standard deviation.
The middle band is obtained from moving averages.
The upper and lower bands are the middle band subjected to a threshold value.
The threshold value can be changed.
0.15 percent was charged for this script.
CAUTION :
As can be seen in the example below;
The most important thing is not to make any transactions when the contract switch dates are approaching.
Therefore, it is recommended to use it just below the main chart.
The blue bars in the parity are
Values that outside the upper and lower threshold values are colored blue.
For this condition
Alerts has been added.
Don't forget to add alert and edit.
MAIN PURPOSE
It is aimed to start a pair trade when such conditions come and to quickly close the trades when the parity basis reaches the value.
OTHER IMPORTANT POINTS
Other issues are broker related issues.
Difference between initial margins and maintanence margins of contracts (between 1! and 2!)
It shouldn't be too high.
The commission should not be too high.
Leverage must be high because the profit percentage is very low.
To calculate leverage you must divide your contract size by the relevant margin requirement.
Sample margin requirement table:
www.interactivebrokers.com
RISKS
It is an experimental and intellectual script,
the risk of contract price differences (maybe it will not leave a profit except for very extreme values)
I remind you of the quickness risk that comes from a two-legged trade.
Alerts definitely synchronized with an audible alert sent to a smartphone as an e-mail notification and displayed on the locked screen for quick action.
Best regards!
MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVG🔵 Introduction
The MMXM Smart Money Reversal leverages key metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, Market Structure Shift (MSS) or (ChoCh), CISD, and Fair Value Gap (FVG) to identify critical turning points in the market. Designed for traders aiming to analyze the behavior of major market participants, this setup pinpoints strategic areas for making informed trading decisions.
The document introduces the MMXM model, a trading strategy that identifies market maker activity to predict price movements. The model operates across five distinct stages: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. This systematic approach allows traders to differentiate between buyside and sellside curves, offering a structured framework for interpreting price action.
Market makers play a pivotal role in facilitating these movements by bridging liquidity gaps. They continuously quote bid (buy) and ask (sell) prices for assets, ensuring smooth trading conditions.
By maintaining liquidity, market makers prevent scenarios where buyers are left without sellers and vice versa, making their activity a cornerstone of the MMXM strategy.
SMT Divergence serves as the first signal of a potential trend reversal, arising from discrepancies between the movements of related assets or indices. This divergence is detected when two or more highly correlated assets or indices move in opposite directions, signaling a likely shift in market trends.
Liquidity Sweep occurs when the market targets liquidity in specific zones through false price movements. This process allows major market participants to execute their orders efficiently by collecting the necessary liquidity to enter or exit positions.
The HTF PD Array refers to premium and discount zones on higher timeframes. These zones highlight price levels where the market is in a premium (ideal for selling) or discount (ideal for buying). These areas are identified based on higher timeframe market behavior and guide traders toward lucrative opportunities.
Market Structure Shift (MSS), also referred to as ChoCh, indicates a change in market structure, often marked by breaking key support or resistance levels. This shift confirms the directional movement of the market, signaling the start of a new trend.
CISD (Change in State of Delivery) reflects a transition in price delivery mechanisms. Typically occurring after MSS, CISD confirms the continuation of price movement in the new direction.
Fair Value Gap (FVG) represents zones where price imbalance exists between buyers and sellers. These gaps often act as price targets for filling, offering traders opportunities for entry or exit.
By combining all these metrics, the Smart Money Reversal provides a comprehensive tool for analyzing market behavior and identifying key trading opportunities. It enables traders to anticipate the actions of major players and align their strategies accordingly.
MMBM :
MMSM :
🔵 How to Use
The Smart Money Reversal operates in two primary states: MMBM (Market Maker Buy Model) and MMSM (Market Maker Sell Model). Each state highlights critical structural changes in market trends, focusing on liquidity behavior and price reactions at key levels to offer precise and effective trading opportunities.
The MMXM model expands on this by identifying five distinct stages of market behavior: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. These stages provide traders with a detailed roadmap for interpreting price action and anticipating market maker activity.
🟣 Market Maker Buy Model
In the MMBM state, the market transitions from a bearish trend to a bullish trend. Initially, SMT Divergence between related assets or indices reveals weaknesses in the bearish trend. Subsequently, a Liquidity Sweep collects liquidity from lower levels through false breakouts.
After this, the price reacts to discount zones identified in the HTF PD Array, where major market participants often execute buy orders. The market confirms the bullish trend with a Market Structure Shift (MSS) and a change in price delivery state (CISD). During this phase, an FVG emerges as a key trading opportunity. Traders can open long positions upon a pullback to this FVG zone, capitalizing on the bullish continuation.
🟣 Market Maker Sell Model
In the MMSM state, the market shifts from a bullish trend to a bearish trend. Here, SMT Divergence highlights weaknesses in the bullish trend. A Liquidity Sweep then gathers liquidity from higher levels.
The price reacts to premium zones identified in the HTF PD Array, where major sellers enter the market and reverse the price direction. A Market Structure Shift (MSS) and a change in delivery state (CISD) confirm the bearish trend. The FVG then acts as a target for the price. Traders can initiate short positions upon a pullback to this FVG zone, profiting from the bearish continuation.
Market makers actively bridge liquidity gaps throughout these stages, quoting continuous bid and ask prices for assets. This ensures that trades are executed seamlessly, even during periods of low market participation, and supports the structured progression of the MMXM model.
The price’s reaction to FVG zones in both states provides traders with opportunities to reduce risk and enhance precision. These pullbacks to FVG zones not only represent optimal entry points but also create avenues for maximizing returns with minimal risk.
🔵 Settings
Higher TimeFrame PD Array : Selects the timeframe for identifying premium/discount arrays on higher timeframes.
PD Array Period : Specifies the number of candles for identifying key swing points.
ATR Coefficient Threshold : Defines the threshold for acceptable volatility based on ATR.
Max Swing Back Method : Choose between analyzing all swings ("All") or a fixed number ("Custom").
Max Swing Back : Sets the maximum number of candles to consider for swing analysis (if "Custom" is selected).
Second Symbol for SMT : Specifies the second asset or index for detecting SMT divergence.
SMT Fractal Periods : Sets the number of candles required to identify SMT fractals.
FVG Validity Period : Defines the validity duration for FVG zones.
MSS Validity Period : Sets the validity duration for MSS zones.
FVG Filter : Activates filtering for FVG zones based on width.
FVG Filter Type : Selects the filtering level from "Very Aggressive" to "Very Defensive."
Mitigation Level FVG : Determines the level within the FVG zone (proximal, 50%, or distal) that price reacts to.
Demand FVG : Enables the display of demand FVG zones.
Supply FVG : Enables the display of supply FVG zones.
Zone Colors : Allows customization of colors for demand and supply FVG zones.
Bottom Line & Label : Enables or disables the SMT divergence line and label from the bottom.
Top Line & Label : Enables or disables the SMT divergence line and label from the top.
Show All HTF Levels : Displays all premium/discount levels on higher timeframes.
High/Low Levels : Activates the display of high/low levels.
Color Options : Customizes the colors for high/low lines and labels.
Show All MSS Levels : Enables display of all MSS zones.
High/Low MSS Levels : Activates the display of high/low MSS levels.
Color Options : Customizes the colors for MSS lines and labels.
🔵 Conclusion
The Smart Money Reversal model represents one of the most advanced tools for technical analysis, enabling traders to identify critical market turning points. By leveraging metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, MSS, CISD, and FVG, traders can predict future price movements with precision.
The price’s interaction with key zones such as PD Array and FVG, combined with pullbacks to imbalance areas, offers exceptional opportunities with favorable risk-to-reward ratios. This approach empowers traders to analyze the behavior of major market participants and adopt professional strategies for entry and exit.
By employing this analytical framework, traders can reduce errors, make more informed decisions, and capitalize on profitable opportunities. The Smart Money Reversal focuses on liquidity behavior and structural changes, making it an indispensable tool for financial market success.
ELVTDFinance COTELVTDFinance COT Indicator:
The ELVTDFinance COT Indicator is a sophisticated tool designed for traders seeking to gain deeper insights into market dynamics through Commitment of Traders (COT) data. This indicator visually represents the net positions of three distinct market participant groups: Commercials, Non-Commercials (Smart Money), and Retail Traders, enabling traders to interpret sentiment and potential market direction.
Key Features:
COT Data Integration:
Pulls weekly COT data from TradingView's LibraryCOT.
Distinguishes between long and short positions for each participant type:
Commercials: Producers or hedgers with vested interest in stabilizing market conditions.
Non-Commercials (Smart Money): Speculative traders often driving trends.
Retail Traders: Non-reportable positions, typically indicative of retail sentiment.
Net Position Calculations:
The indicator calculates and plots the net position (long - short) for each group.
Provides a clear visual distinction of market positioning trends over time.
Dynamic Plot Styles:
Adapts to the timeframe:
Weekly/Monthly: Line plots for a smoother view of trends.
Other Timeframes: Step-line plots for precise position changes.
Color Coding:
Blue: Commercials (Producers/Hedgers).
Teal: Non-Commercials (Smart Money).
Red: Retail Traders.
Highlights Market Sentiment:
Uses a color-shift mechanism based on the relative strength of Smart Money vs. Retail Traders.
Turns green when Smart Money positions dominate retail sentiment, signaling potential trend reversals or continuations.
Labels and Visual Aids:
Displays labels with net positions for each participant group on the chart.
Ensures clarity in understanding which group is leading the market at any point in time.
Advanced Visual Fill:
Shaded regions between Smart Money and Retail Traders provide an intuitive visual cue for sentiment alignment or divergence.
Support for Scalping and Swing Trading:
Offers utility for both short-term scalping strategies and longer-term swing trades by identifying the actions of dominant market forces.
How It Works:
The indicator retrieves and processes COT data weekly.
Net positions are calculated and compared across participant groups.
Plots are dynamically updated to reflect market sentiment.
A zero-line acts as a reference to gauge whether the group is net long or net short.
Use Case Examples:
Trend Reversal Signals:
If Smart Money positions increase while Retail Traders are heavily short, it may signal a potential bullish reversal.
Trend Confirmation:
Alignments between Smart Money and Retail Trader trends can confirm a strong directional move.
Hedging Insights:
Commercials often hedge against price movements. Their actions can hint at supply-side expectations.
By leveraging the ELVTDFinance COT Indicator, traders can better understand the driving forces behind market moves and incorporate this into their decision-making processes. This tool is particularly valuable for analyzing sentiment shifts and gauging market momentum.
Bitcoin Cycle High/Low with functional Alert [heswaikcrypt]Introduction
Just as machines are fine-tuned for maximum efficiency, trading indicators must evolve to meet the demands of ever-changing markets.
Credit goes to the initial author, @NoCreditsLeft I only improved the existing Pi-cycle indicator with a functional alert and included a bull mode indicator in the script. The alert can help you get a live alert at candle close when the cycle tops, bottoms, and the potential bull phase switch occurs.
Philip Swift’s Pi Cycle Top Indicator is a brilliant example of leveraging mathematical relationships to signal critical turning points in Bitcoin’s price cycles. Historically, it has identified market and local tops with some relative accuracy, often within three days, as demonstrated in all the previous bull run cycles.
At its core, the Pi Cycle Indicator derives its name from the mathematical constant π (pi), achieved by using simple moving averages (MAs) in a specific ratio: 𝜋 = Long MA/short MA
The Bull mode switch is calculated using a crossover of the short exponentia moving average and the long moving average.
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Knowing when Bitcoin reaches its top—and receiving timely alerts about it—is crucial for successful trading. The indicator is designed to signal;
Potential Bitcoin tops: Purple label
Potential Bitcoin bottoms : green Label, and
Parabolic swing : Yellow diamond shape (relating to the market switching to a potential bull mode)
"Please note: This indicator is tailored for Bitcoin using historical data analysis and should not be considered definitive. However accurate it might be."
Setting alerts
To set the alert conditions, select any alert function call to get alert whenever the conditions are met. The script is configured on dialy TF; you can set it on 1D or weekly TF.
Enjoy and Trade smartly
Hawk Algo ProHawk Pro Algo: The Ultimate Smart Money & Trend Detection Tool
Hawk Pro Algo is a powerful trading indicator designed to help traders track institutional money movements, detect trend reversals, and generate precise buy/sell signals. By leveraging advanced algorithms, volume analysis, divergence detection, and dynamic gradient features, Hawk Pro Algo gives you the edge needed to navigate both trending and ranging markets with confidence.
Smart Money Detection
Hawk Pro Algo goes beyond standard indicators by focusing on tracking the movements of smart money (large institutional trades). This feature identifies key moments when significant players are entering or exiting the market, enabling you to align your trades with those of the most influential market participants.
Institutional Buy Signals: These signals occur when strong upward momentum, backed by large institutional buying, is detected. It gives you a clear sign that the market is about to rally.
Institutional Sell Signals: On the flip side, sell signals are generated when institutional selling pressure emerges, allowing you to exit positions before a significant drop.
These signals ensure that you're trading in sync with the smart money, maximizing your opportunities for profitable trades.
Buy & Sell Signals: Multiple Entry/Exit Points
Hawk Pro Algo comes equipped with multiple layers of buy and sell signals, giving traders the flexibility to spot different types of trading opportunities:
1. Diamond Buy & Sell Signals
Buy Diamonds: A green diamond appears when a combination of bullish signals, such as a strong price pattern and institutional buying pressure, align. These are ideal for capturing market upswings after confirmation.
Sell Diamonds: A red diamond is plotted when bearish conditions take over. This is a clear indicator that institutional sellers are driving the market down, signaling an ideal moment to exit.
2. CCI Cross Signals
CCI Buy Signals: Triggered when the Commodity Channel Index (CCI) crosses above a certain threshold, indicating a shift in momentum to the upside. This is visualized with a green cross, signaling a strong entry opportunity.
CCI Sell Signals: Similarly, when the CCI crosses below a threshold, a red cross is plotted, signaling the momentum has shifted downward, and it’s time to consider exiting.
3. Circle Buy & Sell Signals
Buy Circles: A green circle appears when the market is ready to reverse from a downward trend, confirming a strong buying opportunity. This is often combined with oversold conditions in the CCI to further validate the entry.
Sell Circles: A red circle is shown when the market is ready to correct or reverse after an upward movement. It confirms an ideal exit point to lock in profits before the market pulls back.
4. Trigger Signals
Buy Triggers: Trigger signals indicate moments of market manipulation or sudden dips in price, where a reversal could be imminent. These signals suggest that the market could rally after a short-lived price drop.
Sell Triggers: These are moments where downward manipulation is detected, warning traders of a potential sell-off or correction after a price spike.
Gradient CCI Oscillator: Dynamic Trend Strength with Overbought and Oversold Detection
The Gradient CCI Oscillator is one of the most unique aspects of Hawk Pro Algo. It combines momentum detection with visual cues to show trend strength and potential reversal points. The CCI doesn’t just indicate regular overbought and oversold levels—it provides a dynamic gradient transition to help you gauge market momentum.
Overbought and Oversold Glow
Potential Reversals (Glow Signals)
When the market is reaching critical overbought or oversold levels, Hawk Pro Algo uses a pink glow on the CCI to signal potential reversals:
Pink Glow (Overbought): When the CCI turns pink, the market is nearing a potential reversal from overbought conditions. It suggests caution and may be a signal to prepare for a downturn.
Pink Glow (Oversold): Conversely, a pink glow in oversold conditions signals a potential upward reversal, providing an early warning to get ready for a bullish move.
Three CCI Color Logics: Momentum and Reversal Detection
Hawk Pro Algo features a three-step gradient system that helps you visualize trend strength and detect potential reversals. This tricolor CCI logic transitions smoothly between green, white, and red, giving traders a deeper understanding of market dynamics.
#1: Red → White → Green Transition (and vice versa)
Green: Indicates strong bullish momentum. The CCI turns green when the market is in a strong upward trend, especially after recovering from oversold levels.
White: Represents a neutral zone, showing that momentum is fading or in transition. When the CCI is between overbought and oversold levels, the indicator turns white, signaling indecision or a potential upcoming shift in trend.
Red: Indicates strong bearish momentum. The CCI turns red when the market is under selling pressure or in an overbought state, signaling potential weakness.
This color transition allows you to see when momentum is shifting from bullish to bearish (or vice versa) and helps you time your entries and exits with greater precision.
ETHUSDT.P 8H
#2: Flippable Gradient CCI
For added flexibility, Hawk Pro Algo allows you to flip the CCI gradient colors to suit your personal preference:
By default, the gradient transitions from green (bullish) to red (bearish).
By flipping the gradient, you can reverse this visualization, with red indicating bullish momentum and green signaling bearish conditions.
This feature ensures that the CCI display aligns with your individual trading style, providing a clearer picture of market conditions.
#3: Overbought/Oversold Color Logic
When the CCI crosses into overbought or oversold territory, the color transitions to help you stay on top of extreme market conditions:
Darker Red for overbought levels, helping you recognize when the market may be due for a reversal.
Deeper Green for oversold levels, signaling potential buying opportunities as the market reaches exhaustion.
These color shifts ensure that traders are visually alerted to key moments in the market, helping to avoid buying at the top or selling at the bottom.
Trigger Signals: Detecting Market Manipulation
The trigger signals in Hawk Pro Algo are designed to detect potential market manipulation—moments when artificial price moves occur before a larger trend shift. These signals help protect you from false breakouts or breakdowns.
Buy Triggers: These occur when the indicator detects potential upward manipulation, helping you prepare for a rally after a price dip.
Sell Triggers: Conversely, sell triggers indicate potential downward manipulation, alerting you to a possible sell-off after a price spike.
These signals act as early warnings, helping you avoid getting caught in manipulated price action and positioning you for better trade entries.
Divergence Detection: Pinpointing Reversals with real time Confidence
Hawk Pro Algo excels in divergence detection, identifying both regular and hidden divergences. Divergences occur when price action and the oscillator (CCI) are out of sync, signaling potential reversals.
Bullish Divergence: This occurs when the price is making lower lows, but the CCI is making higher lows. It suggests that downward momentum is weakening, and a reversal could be imminent. In this case, wait for the CCI to turn green to confirm that the bullish divergence is playing out before entering a trade.
Bearish Divergence: This happens when the price is making higher highs, but the CCI is making lower highs, signaling that upward momentum is weakening. Wait for the CCI to turn red to confirm that the bearish divergence is unfolding, and then consider entering a short trade.
By waiting for the CCI color to change (green for bullish divergence, red for bearish divergence), you ensure that the divergence is confirmed before taking action, leading to higher-confidence trades.
How It All Works Together
The combination of CCI color transitions, overbought/oversold detection, smart money signals, and trigger manipulations makes Hawk Pro Algo a comprehensive tool for traders of all skill levels:
Trend Strength: The CCI gradient provides instant visual feedback on the strength of the current trend, helping you gauge when to stay in a trade or prepare for a reversal.
Reversal Signals: The color-coded overbought/oversold signals help you spot key moments when the market may reverse, while divergence detection adds another layer of confidence to your entries.
Smart Money Flow: Follow the institutional money with precision buy/sell signals based on volume and trend strength, ensuring that you're aligned with
TSMG VOLUME BY MACKThe TSMG Volume Indicator is a powerful tool used in Volume Spread Analysis (VSA) to assess market dynamics by examining the relationship between price movements and trading volume. It helps traders identify potential actions of "smart money"—institutional or informed traders—by analyzing volume spikes, price spreads, and closing prices.
Key Features:
Volume Analysis: The indicator highlights significant volume changes, allowing traders to discern whether a price move is supported by strong buying or selling activity. High volume accompanying a price increase often indicates accumulation by smart money, while high volume with a price decrease suggests distribution.
Price Spread Interpretation: The TSMG Volume Indicator combines price spread analysis with volume data. It helps to identify bullish or bearish trends by analyzing how price changes occur in relation to volume. For instance, a narrow spread with high volume may signal a potential reversal or a continuation pattern.
Smart Money Tracking: By tracking volume patterns alongside price actions, the indicator helps traders spot potential smart money moves. For example, if a stock experiences a sudden increase in volume without a corresponding price rise, it may indicate that institutional investors are accumulating shares quietly.
Alert System: Many implementations of the TSMG Volume Indicator feature alerts for significant volume anomalies, enabling traders to react quickly to potential trading opportunities.
Multi-Timeframe Analysis: The indicator can be applied across various timeframes, giving traders insights into both short-term and long-term market dynamics.
Practical Application:
Traders can use the TSMG Volume Indicator to enhance their trading strategies by confirming signals from other technical indicators. For instance, if a bullish candlestick pattern appears alongside high volume, it strengthens the case for a potential upward movement. Conversely, a bearish pattern with increasing volume might suggest caution or a possible downtrend.
In summary, the TSMG Volume Indicator is a valuable asset for traders looking to harness Volume Spread Analysis, providing insights into the actions of smart money and helping to inform more effective trading decisions.
OnChart - SuiteThe Motivation Behind OnChart Suite
In the dynamic world of trading, the ability to interpret market trends and make timely decisions is paramount. OnChart Suite was developed to empower traders by offering a comprehensive suite of tools that combine advanced analysis with intuitive user experience. The goal is to support traders in navigating complex market environments, helping them refine their strategies and gain a deeper understanding of price movements.
█ Key Features
🤖 ApexAlphaClouds: Identifies potential price rejections or breakthroughs by analyzing dynamic price ranges.
🔢 Matrix Algo: Offers multi-timeframe trend sentiment analysis using key market indicators.
🎯 CandleSniper: Detects key decision points based on phase calculation and Fibonacci levels.
🧲 MagnetZone Horizon: Highlights strategic price zones that can act as smart FVGs.
🟢 NeonZenith: Combines trend analysis with decision points and Fibonacci targets.
█ How These Tools Work Together
OnChart Suite integrates each of these powerful tools to provide traders with a comprehensive analysis framework. By combining the ApexAlphaClouds for price movement intuition, the Matrix Algo for trend sentiment, the CandleSniper for decision points, the MagnetZone Horizon for strategic price zones, and the NeonZenith for trend and target analysis, traders can develop robust trading strategies. This integration ensures that traders have access to multiple perspectives on market conditions, enhancing their ability to make calculated decisions.
█ Detailed Feature Explanations:
--------------🤖 ApexAlphaClouds --------------
How the Tool Can Help Traders
The `ApexAlphaClouds` indicator is designed to assist traders by identifying dynamic price ranges where the market tends to consolidate, which are critical for making informed trading decisions. The tool uses an ML algorithm to analyze high-price data over a set period and determines key levels on the chart, which are visualized as "clouds." These clouds represent potential support and resistance areas, where price action is likely to pause, reverse, or experience increased volatility.
The primary benefit for traders is the ability to identify these key zones in real-time, allowing them to anticipate potential market movements and plan trades accordingly. For example, if a trader sees that price is approaching a cloud boundary, they might expect a reversal or a breakout, depending on the broader market context. This can be particularly useful in range-bound markets or when looking for potential entry and exit points in trending markets.
How Traders Can Use the Indicator
Identifying Support and Resistance:
The clouds plotted by the `ApexAlphaClouds` indicator can be used to identify dynamic support and resistance levels. Traders can watch how the price reacts when it enters these clouds. If the price bounces off a lower cloud, it may suggest support, while a rejection from an upper could indicate resistance.
Trend Reversals and Continuations:
The indicator's middle cloud can help identify potential trend reversals. If price moves through the middle cloud and continues in the same direction, it could indicate a trend continuation. Conversely, if price reverses within the middle cloud, it might signal a potential trend reversal.
Volatility and Breakouts:
The distance between the upper and lower clouds can give traders an idea of market volatility. Narrow clouds suggest low volatility, which may precede a breakout, while wide clouds indicate higher volatility, where prices might oscillate within the range.
Settings Input and Their Effects
’ApexAlphaClouds` (Toggle) -This setting allows the trader to enable or disable the `ApexAlphaClouds` indicator on their chart.
Effect: When enabled, the clouds representing dynamic price ranges will be displayed on the chart. Disabling this will hide the indicator’s outputs.
Target Area Size - This setting determines the number of bars (length) the algorithm considers when collecting high prices for clustering.
Effect: A larger value will make the indicator consider a broader historical range, potentially smoothing out the clouds and identifying longer-term price ranges. A smaller value will focus on more recent price action, which might be useful for short-term trading strategies.
Accuracy - This setting specifies the number of groups that the algorithm will try to identify within the selected data range.
Effect: A higher value increases the number of identified clusters, making the indicator more sensitive to minor fluctuations in price. This can be useful for traders looking to identify multiple potential reversal points. A lower value will focus on the most prominent price clusters, which may be more relevant for long-term analysis.
Maximum Calibration - This setting controls the maximum number of iterations the machine learning algorithm will perform to find the optimal clusters.
Effect: Increasing allows the algorithm more time to refine the clusters, potentially leading to more accurate and stable clouds. However, it may also increase the computation time. Decreasing this value may speed up the process but could result in less accurate clustering.
Wide Range Calibration - This setting determines the maximum number of bars the algorithm will consider when applying the clustering.
Effect: A larger value allows the algorithm to analyse a wider range of historical data, which can help identify significant long-term price ranges. A smaller value will limit the analysis to more recent data, which might be preferable for traders focused on short-term movements.
Smoothing Factor - This setting applies a smoothing function to the clouds, reducing noise and making the price ranges more visually consistent.
Effect :A higher smoothing factor will produce smoother, more consistent clouds, which might be beneficial in volatile markets to avoid false signals. A lower smoothing factor will make the clouds more responsive to recent price changes, which could be useful for scalping or short-term trading strategies.
Usage Scenarios
Scalping:
Traders using short-term strategies might set Accuracy to a smaller value and reduce the Smoothing Factor to make the clouds more responsive to recent price action. This helps in identifying quick reversal points.
Swing Trading:
Swing traders could use a larger Target Area Size and increase Accuracy to identify key price ranges that have held over longer periods. Adjusting Wide Range Calibration to a higher value allows them to consider broader historical trends.
Trend Following:
By observing how price interacts with the clouds, trend-following traders can look for breakouts or breakdowns from the clouds to confirm entry points in the direction of the trend.
Volatility Management:
Traders can monitor the width of the clouds to gauge market volatility and adjust their strategies accordingly, tightening stops in narrow cloud ranges or widening them in broader ranges.
Conclusion
The `ApexAlphaClouds` indicator is a powerful tool for traders looking to analyze price action with a focus on dynamic price ranges. By understanding and utilizing the settings, traders can customize the indicator to fit their specific trading strategies, whether they are scalping, swing trading, or trend following. The key is to adjust the inputs based on the market context and trading goals, using the clouds as a visual guide to anticipate market movements and make informed decisions.
--------------🔢 Matrix Algo --------------
Matrix Algo is a multi-timeframe (MTF) tool designed to provide traders with a comprehensive view of market conditions across different timeframes using a combination of popular technical indicators. The indicator aggregates data from RSI, MACD, and Bollinger Bands across multiple timeframes, presenting this information in a matrix format to help traders make informed decisions based on a complete market overview. This allows traders to quickly assess the overall market sentiment and trend direction without having to manually check each indicator on different timeframes. By offering a bird’s-eye view of the market conditions.
How Traders Can Use Matrix Algo?
Identify Trends and Reversals: By analysing the matrix, traders can identify whether the market is bullish, bearish, or in consolidation across different timeframes.
Confirm Signals: The Matrix Algo can confirm signals from other trading strategies by providing additional context from multiple indicators across several timeframes.
Settings:
Toggle individual timeframes - (Monthly, Weekly, 3D, Daily, 4h, etc.) to include or exclude from the matrix.
Effect: The matrix displays whether the market conditions are favorable (green) or unfavorable (red) for each indicator and timeframe combination. This color-coded information helps traders quickly assess the market situation.
--------------🎯 CandleSniper --------------
Overview:
The CandleSniper indicator is designed to identify potential turning points in the market by combining various technical analysis tools. It leverages a combination of the MACD indicator, advanced phase analysis technique, and Fibonacci levels to highlight moments where price action may be reversing. This helps traders spot divergence opportunities and set potential target levels.
Explanation
MACD Divergence with Phase Analysis:
The indicator leverages the MACD (Moving Average Convergence Divergence) to identify divergences, which can indicate potential reversal points in the market. The MACD is computed using standard short and long lengths, along with a signal line.
An advanced phase analysis technique is employed to measure the difference between price and its moving averages, enabling the identification of cyclical turning points in the market
A potential bullish decision point is identified when the MACD line crosses above the signal line during a cyclical turning point. Conversely, a potential bearish decision point is identified when the MACD line crosses below the signal line during a cyclical turning point.
Fibonacci Levels for Targeting:
The indicator calculates Fibonacci extension levels based on recent price swings to provide target levels for potential price movements.
For a bullish setup, the indicator identifies levels above the current price as potential targets, while for a bearish setup, it identifies levels below the current price.
Fib Filter Line:
The Fib Filter Line is represented in purple for bullish turning points and white for bearish turning points. These lines serve as additional filters to help traders identify stronger, more reliable turning points in the market. Designed for those who prefer a more conservative approach, the Fib Filter Line offers an extra layer of confirmation based on price movements, allowing traders to filter out weaker signals and focus on more significant market shifts.
Inputs and Settings:
lookbackPeriod: Defines the period over which the indicator looks back to calculate the Fibonacci levels. Adjusting this setting can change the sensitivity of the decision points.
Dimmer and DimmerPeriod: These settings control the smoothing applied to the price data before the phase calculation. They help in reducing noise and ensuring that only significant price movements are considered for decision points.
How to Use:
Traders can use the CandleSniper indicator to identify potential decision points by observing the color changes on the bars and the plotted Fibonacci levels:
🟢 Bullish Decision Points:
When the indicator detects a bullish divergence, it highlights the bars in purple and plots potential upward Fibonacci levels as targets.
🔴 Bearish Decision Points:
When a bearish divergence is detected, the indicator highlights the bars in white and plots downward Fibonacci levels as targets.
These decision points can help traders identify when the market might be ready for a reversal or continuation or even use as a start point from where the trader can start his own analysis
Combining with Other Tools
The CandleSniper indicator can be combined with other OnChart tools to create a comprehensive trading framework:
🔢 Matrix Algo:
Use Matrix Algo to assess the overall market sentiment across multiple timeframes, then apply CandleSniper for pinpointing specific entry or exit points.
🤖 ApexAlphaClouds:
Overlay ApexAlphaClouds to visualise dynamic price ranges, using CandleSniper to identify decision points within these ranges.
This combination allows traders to develop a robust trading strategy that considers broader market trends and specific price action signal intuition.
--------------🧲 MagnetZone Horizon --------------
Overview:
The MagnetZone Horizon indicator is a specialized tool designed to identify potential gaps between two significant changes in the Average True Range (ATR). These gaps, calculated dynamically, serve as areas where the price might react, often acting as smart Fair Value Gaps (FVG). By highlighting these zones, traders can gain insights into where the market might find support, resistance, or potential reversal points.
How Traders Can Use This Indicator:
Identifying Smart Fair Value Gaps:
The MagnetZone Horizon indicator helps traders locate gaps between ATR shifts that are likely to act as significant decision points. These gaps can indicate areas where price corrections or consolidations might occur, providing opportunities for strategic entries or exits.
Adaptive Support and Resistance:
The levels calculated by the indicator adjust according to market volatility, offering dynamic support and resistance zones. These zones are particularly useful in identifying potential reversals or continuation patterns.
Volatility-Based Trading:
Since the indicator bases its calculations on ATR, it inherently adjusts to market conditions, allowing traders to align their strategies with the current level of volatility. This adaptability makes it suitable for both trending and range-bound markets.
Settings and Their Impact:
MagnetZone Horizon (Enable/Disable): This toggle allows traders to activate or deactivate the visualization of the MagnetZone Horizon on their charts.
Factor: This setting multiplies the ATR to scale the detected gaps. A higher factor results in broader zones, which might capture more significant market movements, while a lower factor creates tighter zones for more precise analysis.
Factor=5
Factor=7
Division: This setting works in conjunction with the Factor to further refine the gap calculations. Adjusting the Division setting allows traders to fine-tune how sensitive the indicator is to ATR changes, which can help in pinpointing more precise smart FVGs.
Use Cases:
Gap Trading:
Traders can use the identified gaps as potential areas to enter or exit trades, particularly if the price approaches these smart FVGs. The idea is to capitalize on the likelihood that the market will react to these gaps.
Reversal Identification:
The zones marked by the MagnetZone Horizon can indicate potential reversal points, especially in volatile markets where significant ATR changes suggest a shift in market sentiment.
Trend Continuation or Rejection:
By monitoring how the price interacts with these dynamically calculated zones, traders can assess whether a trend is likely to continue or reverse, aiding in more informed trading decisions.
The MagnetZone Horizon indicator is particularly useful for traders looking to identify significant gaps in market activity that are influenced by volatility. These smart FVGs provide a deeper understanding of where the market might react, offering a valuable tool for enhancing trading strategies and adds another strategic piece to the puzzle in the OnChart Suite.
--------------🟢NeonZenith Indicator--------------
Overview:
NeonZenith is a tool designed to provide traders with a better understanding of market trends and potential decision points by utilising multiple elements, including EMAs and Fibonacci levels. This indicator identifies key structures in recent price movements, helping traders recognize potential trend shifts and generate target levels for their trading strategies. Additionally, NeonZenith incorporates elements from the ApexAlphaCloud to enhance the interpretation of market sentiment, particularly regarding price rejections or breakthroughs.
Key Features:
Trend Direction Identification:
NeonZenith uses EMAs to help traders gauge the overall trend direction. By analysing the relationship between different EMAs, the tool highlights potential points where trends may strengthen or reverse, offering decision points for traders to consider in their strategies.
Decision Points:
The tool generates decision points based on EMA interactions, providing traders with crucial levels that may indicate potential market entries or exits. These decision points are derived from the intersection of EMAs, which are known for their reliability in identifying trend shifts.
Fibonacci Target Levels:
Based on the identified price structures, NeonZenith calculates Fibonacci levels that serve as potential target areas. These levels help traders set realistic goals for their trades, whether they are looking to take profits or manage risks effectively.
ApexAlphaCloud Integration:
The tool integrates a middle cloud from the ApexAlphaCloud, which helps traders anticipate potential price rejections or breakthroughs. This cloud provides additional context to the trend analysis, enhancing traders' ability to gauge the market's sentiment and make them think about potential price movements.
Settings:
Left and Right Border Width:
These settings control the lookback period for identifying significant price structures. By adjusting these parameters, traders can fine-tune the sensitivity of the indicator to recent price movements.
Fibonacci Calculation:
The tool calculates Fibonacci levels based on recent lows and highs, offering multiple targets for both long and short positions. These targets include various levels that traders can use to plan their entry, take-profit, and stop-loss orders.
Plotting and Visualization:
NeonZenith provides clear visual cues on the chart, including shapes and labels to mark significant decision points and target areas. These visual elements help traders quickly interpret the information provided by the indicator and apply it to their trading strategies.
How to Use NeonZenith:
Trend Identification:
Use the tool to identify the current trend direction by observing the interaction between the EMAs ,the flag sign and triangle, flag represent general trend changes and the triangle represents minor and inside trend changes.
Fibonacci Levels:
Use the generated Fibonacci levels to set target areas for your trades. These levels can guide you in deciding where to take profits or place stop-loss orders.
Sentiment Gauge:
Utilise the middle cloud from the ApexAlphaCloud to assess potential price rejections or breakthroughs. This feature provides additional insight into the strength of the current trend and helps you anticipate possible market reversals.
Conclusion:
NeonZenith is a versatile and simple tool designed to support traders in understanding market trends, identifying decision points, and setting realistic targets based on Fibonacci levels. Its integration with the ApexAlphaCloud enhances the tool's ability to provide a comprehensive view of market sentiment, making it a valuable addition to any trader's toolkit.
The Trap Play█ INTRODUCTION
The Trap Play Indicator is designed to identify a market liquidity pattern where the price initially makes a new high or low, luring traders into believing a strong trend is forming. However, the price quickly reverses and invalidates the breakout, trapping those traders who entered positions based on the initial move. This sudden reversal often results in a rapid exit of positions, leading to significant price movement in the opposite direction. Trap Plays can occur in various financial markets and timeframes and are characterized by their ability to catch traders off guard and create significant market volatility.
█ WHY USE THE TRAP PLAY INDICATOR?
The Trap Play indicator provides buyers with crucial information about potential market traps, enabling them to avoid false signals, optimize their entry timing, manage risk more effectively, and make more informed trading decisions.
This indicator leverages the Donchian Channel (DC) to read highs and lows, but its uniqueness lies in its ability to identify Trap Plays, which is why this indicator delivers additional value. This is something that the free, open-source Donchian Channel indicator does not offer.
The Donchian Channel is an effective tool for identifying Trap Plays and includes three lines, which are concealed within the Trap Play Indicator for a clearer visual presentation of Trap Plays. In the picture(s) below, the Donchian Channel is visible for reference.
◆ The Upper & Lower Channel Lines: These lines track the highest and lowest prices over a specified period, helping identify potential breakout levels where Trap Plays may occur.
◆ The Middle Channel Line: This line represents the average value between the upper and lower channel lines, serving as a reference for assessing the overall market trend.
◆ The default period is set to 5, but it can be customized to suit specific market conditions.
█ SCRIPT INPUT
◆ Period Input: This defines the period during which the script calculates the highest high and lowest low. By default, this period is set to 5, indicating that the DC uses the most recent 5 closed bars for its calculations.
█ SCRIPT CONDITIONS FOR BULL TRAPS
A Bull Trap is identified when the close of a bar is above the Donchian Channel's high, followed by a bar that closes below the previous bar's low. The indicator will display specific signals or markers on the chart when it detects Bull Traps. These signals are customizable and could be visual elements like arrows, lines, or highlights.
█ SCRIPT CONDITIONS FOR BEAR TRAPS
A Bear Trap is identified when the close of a bar is below the Donchian Channel's low, followed by a bar that closes above the previous bar's high. The indicator will display specific signals or markers on the chart when it detects Bear Traps. These signals are customizable and could be visual elements like arrows, lines, or highlights.
█ FEATURES
◆ Alert System: Stay informed with email notifications and TradingView alerts on your PC or smartphone whenever new Bull Traps or Bear Traps are detected.
◆ Adjustable Period Calculation: Tailor the calculation period to align with your specific trading strategy and timeframe.
█ SETTINGS
■ Period: 5
■ Bull Trap Signal Color: Red
■ Bear Trap Signal Color: Green
█ IN SUMMARY
The Trap Play Indicator is a powerful tool for identifying false breakouts and potential reversals in the market. By analyzing the Donchian Channel, this indicator helps traders spot Trap Plays, allowing them to avoid common trading pitfalls and capitalize on significant market movements. Customize the indicator settings to fit your trading style and receive real-time alerts to stay ahead of market changes. Whether you are trading stocks, forex, or cryptocurrencies, the Trap Play Indicator provides valuable insights to enhance your trading strategy. The premium nature of this indicator ensures that it remains a refined, high-quality product, providing traders with a unique edge in the market.
ICT Power Of Three | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Power Of Three Indicator! This indicator is built around the ICT's "Power Of Three" strategy. This strategy makes use of these 3 key smart money concepts : Accumulation, Manipulation and Distribution. Each step is explained in detail within this write-up. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Power Of Three Indicator :
Implementation of ICT's Power Of Three Strategy
Different Algorithm Modes
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The "Power Of Three" comes from these three keywords "Accumulation, Manipulation and Distribution". Here is a brief explanation of each keyword :
Accumulation -> Accumulation phase is when the smart money accumulate their positions in a fixed range. This phase indicates price stability, generally meaning that the price constantly switches between up & down trend between a low and a high pivot point. When the indicator detects an accumulation zone, the Power Of Three strategy begins.
Manipulation -> When the smart money needs to increase their position sizes, they need retail traders' positions for liquidity. So, they manipulate the market into the opposite direction of their intended direction. This will result in retail traders opening positions the way that the smart money intended them to do, creating liquidity. After this step, the real move that the smart money intended begins.
Distribution -> This is when the real intention of the smart money comes into action. With the new liquidity thanks to the manipulation phase, the smart money add their positions towards the opposite direction of the retail mindset. The purpose of this indicator is to detect the accumulation and manipulation phases, and help the trader move towards the same direction as the smart money for their trades.
Detection Methods Of The Indicator :
Accumulation -> The indicator detects accumulation zones as explained step-by-step :
1. Draw two lines from the lowest point and the highest point of the latest X bars.
2. If the (high line - low line) is lower than Average True Range (ATR) * accumulationConstant
3. After the condition is validated, an accumulation zone is detected. The accumulation zone will be invalidated and manipulation phase will begin when the range is broken.
Manipulation -> If the accumulation range is broken, check if the current bar closes / wicks above the (high line + ATR * manipulationConstant) or below the (low line - ATR * manipulationConstant). If the condition is met, the indicator detects a manipulation zone.
Distribution -> The purpose of this indicator is to try to foresee the distribution zone, so instead of a detection, after the manipulation zone is detected the indicator automatically create a "shadow" distribution zone towards the opposite direction of the freshly detected manipulation zone. This shadow distribution zone comes with a take-profit and stop-loss layout, customizable by the trader in the settings.
The X bars, accumulationConstant and manipulationConstant are subject to change with the "Algorithm Mode" setting. Read the "Settings" section for more information.
This indicator follows these steps and inform you step by step by plotting them in your chart.
🚩UNIQUENESS
This indicator is an all-in-one suite for the ICT's Power Of Three concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️SETTINGS
1. General Configuration
Algorithm Mode -> The indicator offers 3 different detection algorithm modes according to your needs. Here is the explanation of each mode.
a) Small Manipulation
This mode has the default bar length for the accumulation detection, but a lower manipulation constant, meaning that slighter imbalances in the price action can be detected as manipulation. This setting can be useful on tickers that have lower liquidity, thus can be manipulated easier.
b) Big Manipulation
This mode has the default bar length for the accumulation detection, but a higher manipulation constant, meaning that heavier imbalances on the price action are required in order to detect manipulation zones. This setting can be useful on tickers that have higher liquidity, thus can be manipulated harder.
c) Short Accumulation
This mode has a ~70% lower bar length requirement for accumulation zone detection, and the default manipulation constant. This setting can be useful on tickers that are highly volatile and do not enter accumulation phases too often.
Breakout Method -> If "Close" is selected, bar close price will be taken into calculation when Accumulation & Manipulation zone invalidation. If "Wick" is selected, a wick will be enough to validate the corresponding zone.
2. TP / SL
TP / SL Method -> If "Fixed" is selected, you can adjust the TP / SL ratios from the settings below. If "Dynamic" is selected, the TP / SL zones will be auto-determined by the algorithm.
Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
3. Visuals
Show Zones -> Enables / Disables rendering of Accumulation (yellow) and Manipulation (red) zones.
TrendFireOverview
They say "Trend is your Friend". In my short trading timeline, I've realized the difficult part is making this friendship to happen. Although, not impossible.
Trend Fire is one of the trend following strategy amongst many strategies out there. But the unique part of Trend Fire lies in the implementation and its accuracy to identify healthy Trends. Trend Fire is a purely Mathematical Indicator and aims for generating more successful trade signals. It has a unique strategy to avoid sideways market, false signals, and calculation to find entry for Trends, hence, more quality of trades.
I started my trading journey by observing the market movement for a long time as a beginner trader. Over time, I've realized that profit maximization can happen only if I can properly identify long trend. The reason why I was fascinated with trend following strategies and keen to solve the problems that trend following has.
Approach
In most typical trend following strategy setup, Trend identification starts by using fast and long period moving average crossovers. The fact that, moving averages are lagging in nature, it fails to identify good trends and produce many false signals. Although, it generates signals for trend also along with the false signals.
My aim was to reduce the false signals that occurs during consolidation and gain more accuracy on detecting healthy trends. The reason why I've obtained several approaches -
1. Moving Average Gap - during a consolidation period where lots of false signal generates in a crossover system, we can see that the distance/gap between the moving averages is very small, and in long trend the distance is large. So, a simple implementation was to limit the distance/gap by using a threshold to generate signals for trend outside the false signal threshold. This way, signals for long trend generates a few candles away but reduces false signal generation. For this Gap to work, a gap threshold of 20 works great to identify large trends and it is also a good entry point.
3. Volatility Adaptive moving average - As, this system is based on calculating distance/gap between MA's, the distance also doesn't always indicate proper momentum during a trend. The reason behind is that, 200 Moving average is also moving along the price during a trend and the distance/gap between moving averages vary according to the price. This also leads to generate false signals. So, it is more appropriate to replace 200 moving average with volatility adaptive moving average with a period of 1000, because adaptive moving average always reacts to the price and creates a larger distance/gap with price when there’s a trend in the market. Otherwise, it moves close with price in a sideways market. This nature of adaptability helps to reduce more false signals and gain more chances to take profitable trends.
This is also should be considered that no indicator system alone in trading is purely accurate. So, Trend Fire also is not an exception. There will be false signals, but the probability of getting false signal is less than the overall profits compared to any other moving average crossover system. The idea here is, maximizing your equity gradually over time rather than in a day and trade only when market is tradeable. Exactly how trading should be.
Usage
The usage of the indicator is simple. Once the indicator is applied in the mentioned currency pairs, it will show Buy/Sell signals along with Exit points in the chart.
The yellow line is the volatility adaptive moving average line which create distance during a trend and moves close to price when there is no trend. It is also used for trade exit indication, where the line meets with the price at the end of the trend and shows total pips gains/loss in a popup.
As, the indicator have built in adaptive and ATR base stop loss system, a good approach is to enable this in settings. So that, the loss will be minimum. The reason behind, by default the trades closed when a certain trend is over (When yellow line reaches close to the price after a gap) and this closing point not necessarily closes above/below signal. This is why Adaptive and ATR stop loss together make sure when trend reverses during a trend to take profit. Although, settings for Stop loss have been configured in the indicator, but if needed, settings can be changed for optimized results. It is also advisable to not to trade during a news alert as there are chances to generate false signal for high movement of the market.
Down-Sides
The indicator is dependent on the 1-minute time frame, larger time frames resulting in a signal overfitting condition. The indicator is set for only some selective currencies and commodities. So, its behavior might also change if the currency pair is out of scope. Below is the list of currencies which will work for now.
• EURUSD – FXCM
• GBPUSD – FXCM
• AUDUSD – OANDA
• USDCAD – OANDA
• GBPCAD – FXCM
• USDJPY – FXCM
• GBPJPY – OANDA
• EURJPY – OANDA
• CADJPY – FXCM
• AUDJPY – OANDA
• CHFJPY – OANDA
• EURAUD – FXCM
• GBPAUD – FXCM
• AUDCAD – OANDA
• EURGBP – FXCM
• EURCAD – OANDA
• XAUUSD – OANDA
• XAGUSD – OANDA
• USOIL – TVC
• BTCUSDT.P – BYBIT
More currency pair will be added in the future.
Settings
• Fast MA : Fast Moving Average
• Trend MA : Trend line Ema for determining Exit point
• Trend Threshold : Gap threshold between VAMA and Fast EMA
• VAMA : Volatility Adaptive Moving Average Length for calculation
• Enable Trend Coloring : Enable trend coloring on adaptive moving average line
• Enable Trailing Stop : Enable Adaptive and ATR trailing stop to exit trades
• Show Dashboard : Enable Trend and Signal value dashboard
• Position : Position of Dashboard in Chart
Alerts
Alert conditions are set for trade Entry and Exit scopes only and it does not mention Buy/Sell trade specifically in alerts for now. For that, you need to follow the chart after an alert as indicator shows Buy/Sell/Exit on chart. To create an alert based on the indicator follow these steps:
Go to the alert section (the alarm clock) -> create new alert -> select TrendFire in condition -> Below select TRADE ALERT and select date duration. In option select “once per bar close”, By default the message is set with ticker ID. Change the message if you want a personalized message.
Conclusion
As a programmer and problem solver, I have invested over a year to understand the market and tried to solve the problem that I faced as a trader. I wanted to develop an indicator that make sense and works logically in market. Also, the aim is to trade smartly with a strategy rather than biting in the bush randomly. Trade Fire is a result of countless failures and losses. I hope future contributions will grow this indicator to be more efficient down the line.
Thanks for reading…Happy Trading!
Engulfing with Fibonacci LevelsIndicator Explanation
The indicator identifies bullish and bearish engulfing patterns and plots Fibonacci levels based on these patterns. Here's a detailed explanation of the script:
1. Bullish Engulfing Pattern
A bullish engulfing pattern is identified when:
- The previous candle is bearish (`close < open `).
- The current candle is bullish (`close > open`).
- The low of the current candle is lower than the low of the previous candle (`low < low `).
- The current candle's close is higher than the previous candle's open (`close > open `).
When a bullish engulfing pattern is identified:
- Fibonacci levels are plotted from the low (0%) to the high (100%) of the bullish candle.
- A green dot is plotted below the bullish candle to indicate a buy signal.
2. Bearish Engulfing Pattern
A bearish engulfing pattern is identified when:
- The previous candle is bullish (`close > open `).
- The current candle is bearish (`close < open`).
- The high of the current candle is higher than the high of the previous candle (`high > high `).
- The current candle's close is lower than the previous candle's open (`close < open `).
When a bearish engulfing pattern is identified:
- Fibonacci levels are plotted from the high (0%) to the low (100%) of the bearish candle.
- A red dot is plotted above the bearish candle to indicate a sell signal.
3. Plotting Fibonacci Levels
For both bullish and bearish patterns, Fibonacci levels are plotted at:
- 0% (high for bullish, low for bearish)
- 50%
- 61.8%
- 79%
- 100% (low for bullish, high for bearish)
Smart Money Concept (SMC) Explanation
Bearish Signal
In the context of Smart Money Concepts (SMC), a bearish engulfing pattern can indicate:
- **Buy Side Liquidity Grab**: The high of the current bearish candle goes above the high of the previous bullish candle, potentially grabbing buy-side liquidity (stop losses of short positions or buy stops).
- **Break of Structure (BoS)**: The close of the bearish candle below the open of the previous bullish candle indicates a shift in market structure.
After identifying this bearish engulfing pattern, a smart money trader might:
1. Wait for the market to retrace 50% of the bearish candle.
2. Enter a sell trade around the 50% retracement level, anticipating a continuation of the downward move.
#### Bullish Signal
Similarly, a bullish engulfing pattern can indicate:
- **Sell Side Liquidity Grab**: The low of the current bullish candle goes below the low of the previous bearish candle, potentially grabbing sell-side liquidity (stop losses of long positions or sell stops).
- **Break of Structure (BoS)**: The close of the bullish candle above the open of the previous bearish candle indicates a shift in market structure.
After identifying this bullish engulfing pattern, a smart money trader might:
1. Wait for the market to retrace 50% of the bullish candle.
2. Enter a buy trade around the 50% retracement level, anticipating a continuation of the upward move.
The indicator helps traders identify key engulfing patterns that align with smart money concepts of liquidity grabs and breaks of structure. By plotting Fibonacci levels, it visually aids traders in waiting for optimal retracement levels (50%) to enter trades in the direction of the anticipated move. This approach leverages the idea that significant market participants often seek liquidity and cause structural shifts, providing entry opportunities for informed traders.
Liquidity-Finder ICT / SMCIn the context of ICT and the Smart Money Concept, liquidity is likely viewed as a crucial factor for determining the strength and sustainability of a market move. Smart Money is often associated with large institutional traders who have the ability to influence liquidity.
Liquidity Sweep:
A liquidity sweep in this context might involve Smart Money intentionally executing trades across various price levels to assess market depth and liquidity. This information can be used to identify potential areas of interest for Smart Money to initiate or exit positions without causing significant price disruptions.
Stop Hunt:
Stop hunting is a concept that Smart Money traders may employ to deliberately trigger stop orders in the market. By doing so, they can create temporary price movements that allow them to accumulate or liquidate positions at more favorable prices before the market reacts.
Smart Money Concept (SMC):
The Smart Money Concept revolves around the idea that large institutional traders (Smart Money) have superior information and resources compared to retail traders. Understanding the behavior of Smart Money, as taught in ICT and SMC, involves analyzing market dynamics, order flow, and liquidity to make more informed trading decisions.
Liquidating:
Liquidating refers to the process of selling or closing out existing positions. In the context of Smart Money, the term could imply that institutional traders are actively managing their positions, either taking profits or cutting losses strategically based on their analysis of market conditions.
The Indicator
The Indicator show open liquidity as solid lines and liquidates liquidity as dashed lines
Is able to send alerts for liquidity level was liquidated, liquidity level was dipped or the next close is on the other side
Moving Average [chkd]日本語の説明は英語の説明の後にあります。
========= English =========
Various analyses of moving averages have been introduced, but the key points to observe are often quite similar. To efficiently observe the following points, I have created this indicator:
The positional relationship between each moving average and candlestick
The slope (directionality) of the moving averages
Moving averages from different time frames
The positional relationship of moving averages is classified into stages:
Stage 1: Short-term MA > Medium-term MA > Long-term MA (Perfect Order)
Stage 2: Medium-term MA > Short-term MA > Long-term MA
Stage 3: Medium-term MA > Long-term MA > Short-term MA
Stage 4: Long-term MA > Medium-term MA > Short-term MA (Reverse Perfect Order)
Stage 5: Long-term MA > Short-term MA > Medium-term MA
Stage 6: Short-term MA > Long-term MA > Medium-term MA
The features of this indicator include:
Displaying multi-timeframe stages in a table
Showing the transition history of stages with dashed lines at the bottom
Selectable table size (compatible with PC and smartphones)
========= Japanese =========
移動平均線の分析は色々紹介されていますが、見るポイントはどれもよく似ています。
以下のポイントを効率よく見れるように、このインジを作成しました。
各移動平均線とローソク足の位置関係
移動平均線の傾き（方向性）
異なるタイムフレームの移動平均線
移動平均線の位置関係は、ステージとして分類しています。
stage1 : 短期MA > 中期MA > 長期MA (パーフェクトオーダー）
stage2 : 中期MA > 短期MA > 長期MA
stage3 : 中期MA > 長期MA > 短期MA
stage4 : 長期MA > 中期MA > 短期MA (逆パーフェクトオーダー）
stage5 : 長期MA > 短期MA > 中期MA
stage6 : 短期MA > 長期MA > 中期MA
移動平均線の分析で、非常にわかりやすいものに小次郎講師の大循環分析があります。
書籍や無料のyoutubeもあるので、併せてみてもらえるとこのインジの使い方のイメージが湧きやすくなると思います。
このインジでは以下の特徴があります。
マルチタイムのステージをテーブルで表示
ステージの変換履歴を下部の点線で表示
テーブルサイズは選択可（pc,スマホ対応）
