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."
Cerca negli script per "smart"
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.
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.
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.
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.
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
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.
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
ATR VisualizerAdvance Your Market Analysis with the True Range Indicator
The True Range Indicator is a sophisticated screener meticulously developed to bolster your trading execution by presenting an exceptional understanding of the market direction. The centerpiece of this instrument is a distinctive candle configuration depicting the Average True Range (ATR) and the Bear/Bull range. However, it traverses beyond the conventional channels to offer specific market settings to boost your trading decisions.
User-Defined Settings
Broadly, the indicator offers five dynamic settings:
Bear/Bull Range
The Bear/Bull Range outlines the ATR for each candle type - bearish and bullish - and then smartly opts for the pertinent one based on the prevalent market circumstances. This feature aids in comparing the range of bullish and bearish candlesticks, which deepens your understanding of the price action and volatility.
Bearish Range
The Bearish Range isolates and computes the ATR for bearish candles solely. Utilizing this option spots the bear-dominated periods and provides insights about potential market reversals or downward continuations.
Bullish Range
Opposite to the Bearish Range, the Bullish Range setting tabulates the ATR exclusively for bullish candles. It assists in tracking the periods when bulls control, enlightening traders about the possibility of upward continuations or trend reversals.
Average Range
The Average Range provides an unbiased measure of range without prioritizing either bull or bear trends. This model is ideal for traders looking for a holistic interpretation of market behavior, regardless of direction.
Cumulative Average Range
Equally significant is the Cumulative Average Range which calculates the aggregate moving average of the true ranges for an expressed period. This setting is extremely valuable when evaluating the long-term volatility and spotting potential breakouts.
Dual Candle Configuration
Going a step ahead, the True Range Indicator uniquely offers the possibility to incorporate more than one candle estimate on your screen. This ensures simultaneous analysis of multiple market dynamics, thereby enhancing your trading precision multifold.
Concluding Thoughts
In essence, the True Range Indicator is an indispensable companion for traders looking to not only leverage market volatility but also make educated predictions. Equipped with an array of insightful market settings and the ability to display dual candle estimates on-screen, you can customize the functionality to suit your unique trading style and magnify your market performance dramatically.
OSPL Volume [Community Edition]NSE:BANKNIFTY1!
This indicator is based on the concepts popularized by @OptionsScalper123 "Siva" of OiPulse. His ideology Is that large moves come after high volume candles. For Nifty, high volume is considered to be a candle above 125k volume and for BankNifty it’s 50k.
This indicator allows you to cut the noise and focus only on the high volume candle. It shows high volume candle in a brighter shade and lower volume candles in a less visible shade.
You can set the minimum volume threshold limit for Nifty and BankNifty. The indicator smartly recognizes which index you are using it in and uses the respective threshold volume limit.
All colors are customizable.
Thanks for Siva for all the ideas and wonderful products he has given to the community
Thanks to all the wonderful Pinescipters for developing awesome indicators and keeping the source open.
The source code of this indicator is just a few lines. Hope you can use it in your projects and learn something from this just how I learned from other scripts.
Any changes or updates needed in this indicator, please suggest. I was thinking some kind of alerts can be added when volume crosses the threshold. Let me know.
Boost/like this indicator and comment if you find this useful. Cheers and happy trading!!!
Price alertThis indicator is an indicator for setting alerts.
Set alerts after adding them to the chart.
By setting an alert, you can notify the closing price to your smartphone or smartwatch.
SMC Scalper Pro - by TradingNexus📈 Scalper Pro SMC is a next-generation Smart Money Concepts ( SMC ) indicator built for active traders and scalpers who want to catch institutional moves with maximum precision.
The script automatically detects BUY/SELL signals using institutional logic:
🚀 Key Features
A+ Smart Money Signals: Instantly detects high-probability BUY/SELL zones based on confluence of BOS, FVG, liquidity grabs, and volume spikes.
Dynamic Trend Visualization: Unique trend cloud background (major/minor) for instant trend context and safer entries.
Automatic TP/SL Levels: Every signal is paired with professional risk management suggestions.
Session Adaptive: Filter signals by major Forex sessions (London, New York, Asia) for optimal timing.
Clean Visuals: Only the most relevant signals – no clutter, no noise. Perfect for scalpers and intraday traders.
One-Glance Dashboard: Real-time panel with all recent signals and pattern counts.
🧠 How it works
Scalper Pro SMC combines four institutional logic filters:
BOS (Break of Structure)
FVG (Fair Value Gap)
Liquidity Grabs
Volume Spikes
Signals are generated only when multiple confirmations align, dramatically increasing win rate and filtering out false moves.
💡 Who is this for?
Professional scalpers & day traders
Smart Money / SMC fans
Anyone seeking disciplined, signal-based trading with clear risk/reward
🏆 Why Scalper Pro SMC?
No guesswork – all signals are institutional logic-based.
No repainting, no lag.
Works on all assets and timeframes.
Full customization for every trader’s style.
Contact & Community - Join us!
🌐 Website: TradingNX.com
💬 Telegram: t.me
𝕏 Twitter/X: x.com
SMT Divergence x outofoptions🔍 SMT Divergence — Advanced Market Correlation Analysis
This was created with and approved by @outofoptions to bring you smaller SMTs based on his original SMT Divergence indicator
SMT Divergence is a sophisticated technical analysis indicator designed to identify high-probability reversal and continuation signals through intelligent correlation analysis between related markets. This powerful tool reveals hidden market dynamics by comparing price action divergences across correlated instruments, providing traders with institutional-level market insight.
🎯 Core Capabilities:
Multi-Market Analysis : Automatically compares your chart with a correlated instrument to identify divergence patterns and market inefficiencies
Smart Liquidity Detection : Advanced algorithms identify key liquidity levels and sweep patterns for enhanced signal accuracy
Dynamic Divergence Mapping : Real-time visualization of bullish and bearish divergences with customizable line styles and colors
Intelligent Signal Validation : Optional candle-based confirmation system to filter high-probability setups from noise
Automated Line Management : Smart removal of invalidated divergences to maintain clean, actionable chart analysis
📊 Professional Features:
The SMT Divergence indicator excels at revealing market structure imbalances that often precede significant price movements. By analyzing the relationship between correlated markets, it identifies when institutional money may be positioned differently than retail sentiment suggests, providing early warning signals for potential reversals.
⚙️ Advanced Customization:
Flexible correlation pair selection for any market combination
Customizable visual styling with multiple line types and color schemes
Adjustable validation criteria for different trading styles
Professional alert system with detailed message customization
Automatic cleanup of broken or invalidated divergences
🎨 Visual Excellence:
Clean, professional line drawing with customizable styling
Dynamic labeling system with size and color options
Real-time divergence tracking and management
Institutional-grade chart presentation
Optimized performance for extended analysis periods
📈 Ideal For:
Swing traders seeking high-probability reversal signals
Multi-market analysts comparing correlated instruments
Institutional-style traders using correlation analysis
Advanced technical analysts studying market structure
Those seeking early warning signals for trend changes
🔔 Smart Alerts:
Comprehensive alert system with customizable messaging allows you to stay informed of new divergences across multiple timeframes and market sessions, ensuring you never miss critical market developments.
💡 Market Intelligence:
SMT Divergence transforms complex inter-market relationships into clear, actionable signals, giving you the same analytical edge used by professional trading institutions to identify market turning points before they become obvious to retail traders.
Educational Tool: This indicator is designed for educational and analytical purposes. Divergence analysis requires understanding of market correlation principles. Always combine with proper risk management and additional analysis methods.
Crypto DanR 1.4.2 PC-Roye Edition📜 Crypto DanR 1.4.2 — PC Roye Edition (Open Source)
This indicator combines Smart Money Concepts (SMC), Liquidity Analysis, and Trend Filtering to provide traders with a high-quality tool for intraday and swing trading on assets like XRP/USDT.
✅ What This Script Does
Crypto DanR 1.4.2 integrates the following advanced features:
Break of Structure (BOS) & Change of Character (CHoCH):
Detects key shifts in market structure
Helps confirm trend direction and reversal points
Fair Value Gaps (FVG):
Displays unmitigated liquidity voids using a style inspired by LuxAlgo
Highlights potential retracement zones where smart money may re-enter
Equal Highs / Equal Lows (EQH/EQL):
Marks liquidity zones that institutions often target before reversals
Order Blocks (OB):
Identifies potential institutional demand/supply zones
Option to filter by wick, body, or mitigation logic
Fibonacci Volatility Bands (based on BigBeluga’s logic):
Detects potential price extremes using Fib extensions on volatility
10 Moving Averages in One (inspired by hiimannshu's script):
Supports 10 custom MAs (SMA, EMA, RMA, HMA, VWMA, etc.) with adjustable source and timeframe
Ideal for trend filtering or dynamic support/resistance
Vector Candles (TradersReality / PVSRA):
Color-coded candles showing real-time volume pressure and trend bias
Visual Trade Plan:
Optional overlay for entry, stop-loss, and take-profit planning
Displays risk-to-reward ratio and potential % gain/loss live
🧠 How It Works
The script uses a price-action-first approach, built around concepts from Smart Money Theory. CHoCH and BOS detect structural shifts, while FVGs and OBs help forecast likely reaction zones. The multiple moving averages act as a trend filter to avoid entering against momentum.
This combination allows traders to:
Enter on mitigations or breakouts
Set stops outside liquidity zones
Manage trades visually with dynamic risk/reward levels
📊 Best Use Cases
15m or 1h scalping (ideal)
Swing trading on 4h
Works well on crypto, FX, and indices
🙏 Credits
TradersReality for PVSRA logic via public library
LuxAlgo for FVG inspiration
hiimannshu for 10-in-1 MA logic
BigBeluga for Fibonacci Bands methodology
All reused logic is significantly modified and part of a broader framework.
📌 Notes
Script is open-source to promote transparency and collaboration
Please do not copy-paste and republish without adding meaningful improvements
Feedback and suggestions welcome!
Crypto DanR 1.4.2 PC-Roye Edition📜 Crypto DanR 1.4.2 — PC Roye Edition (Open Source)
This indicator combines Smart Money Concepts (SMC), Liquidity Analysis, and Trend Filtering to provide traders with a high-quality tool for intraday and swing trading on assets like XRP/USDT.
✅ What This Script Does
Crypto DanR 1.4.2 integrates the following advanced features:
Break of Structure (BOS) & Change of Character (CHoCH):
Detects key shifts in market structure
Helps confirm trend direction and reversal points
Fair Value Gaps (FVG):
Displays unmitigated liquidity voids using a style inspired by LuxAlgo
Highlights potential retracement zones where smart money may re-enter
Equal Highs / Equal Lows (EQH/EQL):
Marks liquidity zones that institutions often target before reversals
Order Blocks (OB):
Identifies potential institutional demand/supply zones
Option to filter by wick, body, or mitigation logic
Fibonacci Volatility Bands (based on BigBeluga’s logic):
Detects potential price extremes using Fib extensions on volatility
10 Moving Averages in One (inspired by hiimannshu's script):
Supports 10 custom MAs (SMA, EMA, RMA, HMA, VWMA, etc.) with adjustable source and timeframe
Ideal for trend filtering or dynamic support/resistance
Vector Candles (TradersReality / PVSRA):
Color-coded candles showing real-time volume pressure and trend bias
Visual Trade Plan:
Optional overlay for entry, stop-loss, and take-profit planning
Displays risk-to-reward ratio and potential % gain/loss live
🧠 How It Works
The script uses a price-action-first approach, built around concepts from Smart Money Theory. CHoCH and BOS detect structural shifts, while FVGs and OBs help forecast likely reaction zones. The multiple moving averages act as a trend filter to avoid entering against momentum.
This combination allows traders to:
Enter on mitigations or breakouts
Set stops outside liquidity zones
Manage trades visually with dynamic risk/reward levels
📊 Best Use Cases
15m or 1h scalping (ideal)
Swing trading on 4h
Works well on crypto, FX, and indices
🙏 Credits
TradersReality for PVSRA logic via public library
LuxAlgo for FVG inspiration
hiimannshu for 10-in-1 MA logic
BigBeluga for Fibonacci Bands methodology
All reused logic is significantly modified and part of a broader framework.
📌 Notes
Script is open-source to promote transparency and collaboration
Please do not copy-paste and republish without adding meaningful improvements
Feedback and suggestions welcome!
Key Indicators Dashboard (KID)📌 Overview
Key Indicators Dashboard (KID) is a comprehensive all-in-one technical analysis tool designed for discretionary, systematic, and quantitative traders. It brings together multiple essential trading metrics into a highly customizable, interactive dashboard that overlays directly on your TradingView chart.
🎯 What Does KID Do?
KID consolidates all vital market metrics into a single, glanceable dashboard—saving screen space and analysis time. Whether you are screening equities or monitoring open positions, the KID panel updates dynamically, highlighting actionable signals and market conditions based on your own thresholds and trading style.
🛠 Key Features
⦿ Volatility and Range Metrics
ADR (Average Daily Range, % and Value): Quantifies average price movement over a defined period, with threshold-based color highlights.
ATR (Average True Range, % and Value): Measures volatility as both value and percentage of price.
⦿ Relative Strength and Trend Metrics
Relative Strength (RS) vs. Benchmark: Dynamically calculated using a customizable comparative symbol (default: NSE:NIFTYMIDSML400).
IBD-style RS Rating: Weighted average of price changes over several periods (3, 6, 9, and 12 months).
Trend Detection: Uses Supertrend indicator to visually identify up/down market trends.
⦿ Liquidity and Volume Analysis
Relative Volume (RVol): Comparison of current volume to moving average volume.
Turnover (in Cr): Average turnover calculation to assess liquidity.
Market Cap & Free Float: Real-time computation using price and outstanding/floating shares.
⦿ Trend Strength and Structure
MA Extensions: Compares price extension from a selected moving average, depicted as ATR multiples and percentages.
Moving Averages (MAs): Choice of EMA/SMA with customizable lengths, including up to four plotted MAs and detection of MA crossovers.
⦿ Breakout and Tightness Detectors
52-Week High/Low: Calculates and optionally marks the highest and lowest prices over 252 trading days, including percentage distance from current price.
Minervini Trend Template: The Trend Template is a set of technical criteria designed to identify stocks in strong uptrends.
• Price > 50-DMA > 150-DMA > 200-DMA
• 200-DMA is trending up for at least 1 month
• Price ≥ 52-week high proximity
• Price is at least 30% above its 52-week low.
• Price is within at least 25 percent of its 52-week high
• Table highlights when a stock meets all above criteria.
Tightness Indicator: Highlights periods with compressed price action relative to historical ranges.
⦿ Candlestick Patterns and Power Bars
Inside Bar Detection: Color- and shape-based highlighting of "inside bars" for pattern traders.
PowerBar (Purple Dot): Flags bars with strong price movement paired with high volume, using ROC and volume thresholds.
⦿ Sector/Industry
Automatically reflects symbol sector and industry if available from trading platform data.
⚙️ Customizable Visualization
Switchable between vertical or horizontal layout.
Works in dark/light mode
User-configurable to toggle any indicator ON or OFF.
User-configurable Moving (EMA/SMA), Period/Lengths and thresholds.
🔔 Built-in Alerts
Supports automatic alert creation for:
ADR%, ATR/ATR %, RS, RS Rating, Turnover
Moving Average Crossover (Bullish/Bearish)
52-Week High/Low
Inside Bars (Bullish/Bearish)
Tightness
Minervini Trend Template
⏳PineScreener Capabilities
The indicator’s alert conditions act as filters for PineScreener.
Available Screener Filters & Alerts:
Price Filters: Minimum and maximum price cutoffs.
Daily Change Filters: Minimum and maximum daily percent move.
Volatility Filters: ADR% and ATR% thresholds met or exceeded.
Liquidity Filters: Minimum average turnover and relative volume cutoffs.
Momentum/Trend Filters:
• Strong RS/RS Rating
• Uptrend/Downtrend state (Supertrend-based)
• Price extensions (detect overbought/oversold situations quickly)
• Breakout proximity via 52-week high/low alerts
Pattern and Setup Detection:
• Minervini Trend Template
• Inside Bar
• Tightness (compressed/volatility contraction setups)
• PowerBar (High ROC + high volume bars)
• MA crossover or above/below specific MAs
⦿ (Optional) : For horizontal table orientation increase Top Margin to 16% in Chart (Canvas) settings to avoid chart overlapping with table.
⚡ Add this script to your chart and start making smarter trade decisions today! 🚀
MA Cross With Buy and SellThe Enhanced MA Cross indicator helps traders identify changes in market trends by tracking two moving averages: one short-term and one long-term. When the short-term average crosses above the long-term one, it suggests that momentum is shifting upward, often signaling a buying opportunity. Conversely, when the short-term average drops below the long-term, it may indicate that selling pressure is increasing, signaling a possible exit or short position.
This indicator is particularly useful in trending markets—places where prices are clearly moving up or down—like during strong moves in stocks, crypto, forex, or commodities. It gives you visual buy and sell markers right on the chart, and you can even enable alerts so you don't miss key moments.
However, it's not a great tool for sideways or ranging markets, where prices bounce around without direction. In those situations, the crossover signals can become noisy and less reliable.
Overall, it's a simple, beginner-friendly tool for spotting trend shifts and making more confident trade entries and exits. If needed, we can make it even smarter by combining it with other indicators to filter out bad signals.
BARTRADINGPREDV4Please note, that all of the indicators on the chart are working together. I am showing all of the indicators so that you might see the benefits of these indicators working as one. Do your own research. Trade smart. I code tools not advice. So please make decisions based on your trading style and knowledge. Use my scripts freely but please note they are protected by Mozilla.
Script Summary: BARTRADINGPREDV4
This Pine Script indicator is a comprehensive trading tool that overlays on your TradingView chart. It combines moving averages, regression channels, volume analysis, RSI filtering, and pattern recognition to assist in making trading decisions. It also provides a forward-looking projection to help anticipate future price movement.
Key Features & Logic
1. Moving Averages
HMA (High Moving Average): Simple moving average of the high price over a user-defined lookback period.
LMA (Low Moving Average): Simple moving average of the low price over the same period.
HLMA (High-Low Moving Average): The average of HMA and LMA, providing a midline reference.
2. RSI Filtering
Optionally enables a Relative Strength Index (RSI) filter to help avoid trades when the market is not trending strongly.
Only allows buy signals if RSI is above 50, and sell signals if RSI is below 50 (if enabled).
3. Signal Generation
BUY Signal: Triggered when HL2 (average of OHLC) crosses over LMA and (optionally) RSI > 50.
SELL Signal: Triggered when HL2 crosses under HMA and (optionally) RSI < 50.
XSB (Extra Strong Buy): HL2 crosses over HMA, is above HLMA, up volume is greater than down volume, and (optionally) RSI > 50.
XBS (Extra Strong Sell): HL2 crosses under LMA, is below HLMA, down volume is greater than up volume, and (optionally) RSI < 50.
Enable/Disable XSB/XBS: You can turn these signals on or off via script inputs.
4. Take Profit (TP) and Stop Loss (SL) Levels
TP and SL are dynamically calculated based on the difference between HMA and LMA, providing contextually relevant exit levels.
5. Regression Channel and Prediction
Linear Regression Line: Plots a regression line over the lookback period to show the underlying trend.
ATR Channel: Adds an upper and lower channel around the regression line using ATR (Average True Range) for a realistic prediction envelope.
Forward Projection: Projects the regression line forward by a user-defined number of bars, visually showing where the trend could extend if current momentum persists.
6. Pattern Recognition
Higher Highs/Lows and Lower Highs/Lows: Marks bars where new higher highs/lows or lower highs/lows are set, helping you spot trend continuation or reversal points.
7. Status Table
A table shows the current price’s relationship to HMA, HLMA, and LMA, color-coded for quick visual interpretation.
User Instructions
Inputs
Number of Lookback Bars: Sets the period for all moving averages and regression calculations.
Prediction Length: (Legacy; not used in current logic.)
TURN ON OR OFF XSB/XBS Signal: Toggle extra strong buy/sell signals.
Enable RSI Filter: Only allow signals when RSI is in the correct zone.
RSI Period: Sets the sensitivity of the RSI filter.
Table Position: Choose where the status table appears on your chart.
ATR Length & Multiplier: Control the width of the regression prediction channel.
Bars Forward (Projection): Number of bars to project the regression line into the future.
How to Use
Add the script to your TradingView chart.
Adjust inputs to suit your asset and timeframe.
Interpret signals:
BUY (B) and SELL (S): Appear as green/red labels below/above bars.
XSB (blue) and XBS (orange): Indicate extra strong buy/sell conditions.
HH/HL (green triangles): New higher highs/lows.
LH/LL (red triangles): New lower highs/lows.
Watch the regression channel: The yellow regression line shows the trend; the shaded band indicates expected volatility.
Check the projection: The dashed magenta line projects the regression trend forward, giving a visual target for price continuation.
Use the table: Quickly see if price is above or below each moving average.
Interpreting the Prediction Aspects
Regression Line & Channel
Regression Line (Yellow): Represents the best-fit line of price over the lookback period, showing overall trend direction.
ATR Channel: The upper and lower bands (yellow, semi-transparent) account for typical volatility, suggesting a range where price is likely to stay if the trend continues.
Forward Projection
Dashed Magenta Line: Projects the regression line forward by the specified number of bars, using the current slope. This is a trend continuation forecast—not a guarantee, but a statistically reasonable path if current conditions persist.
How to use: If price is respecting the regression trend and within the channel, the projection provides a visual target for where price might go in the near future.
TP/SL Levels
TP (Take Profit): Suggests a price target above the current HL2, based on recent volatility.
SL (Stop Loss): Suggests a protective stop below HL2.
Best Practices & Warnings
No indicator is perfect! Always combine signals with your own analysis and risk management.
Regression projection is not a crystal ball: It simply extends the current trend, which can and will change, especially after big news or at support/resistance.
Use on liquid, trending assets for best results.
Adjust lookback and ATR settings for your market and timeframe.
Summary Table Example
Price vs HMA vs HLMA vs LMA
43000 +100 +50 -20
Green: Price is above average (bullish).
Red: Price is below average (bearish).
Yellow: Price is very close to the average (neutral).
Final Notes
This script is designed to be a multi-tool for trend trading and prediction, combining classic and modern techniques. The forward projection helps visualize possible future price action, while signals and overlays keep you informed of trend shifts and trade opportunities.
SMC Core Concepts TradingNexus (BOS, CHoCH, FVG, OB) - Stage 1🔍 SMC Core Concepts TradingNexus – Stage 1 (BOS, CHoCH, FVG, OB)
Smart Money Concepts made visual and accessible.
This indicator helps traders identify key institutional structures such as Break of Structure (BOS), Change of Character (CHoCH), Fair Value Gaps (FVG), and Order Blocks (OB) – all automatically detected and visualized on the chart.
✅ Features in Stage 1:
🔹 BOS Detection – Detects bullish and bearish structure breaks based on swing points
🔹 CHoCH Identification – Spots potential change of character after a trend
🔹 Fair Value Gap Zones – Highlights imbalances between candles
🔹 Order Block Zones – Detects key OB zones before strong price moves
🔹 Smart Auto-Cleanup – Automatically removes old boxes to optimize performance
🔹 User Inputs – Configure swing sensitivity and toggle each feature
🧠 Built for Traders Seeking Clarity
This script is ideal for SMC traders who want clear structure-based setups without drawing everything manually. Designed for both scalpers and swing traders who follow institutional logic.
🚀 Stage 2 (Coming Soon):
Liquidity zones (EQH/EQL)
Internal vs. external BOS
Mitigation blocks
Bias detection
Buy/Sell signal system
Smart SL/TP zones
Alerts system
👤 Created by TradingNexus
💬 Open-source & community-driven. Feel free to fork, contribute, or suggest improvements.
SMC BOS Strategy for XAUUSDThis is a custom-built TradingView strategy that uses Smart Money Concept (SMC) logic to identify high-probability trend continuation and reversal entries based on Break of Structure (BOS) on XAUUSD. It is designed for traders looking to test institutional-style structure breaks with dynamic entry and risk-managed exits.
The strategy detects BOS using swing highs and lows, then enters trades based on price momentum (bullish or bearish candle confirmation). Each trade is automatically managed using a fixed stop loss in pips and a customizable risk-to-reward (RR) ratio. The goal is to backtest how BOS alone can drive clean directional entries, simulating Smart Money precision without repainting or false signals.
🔑 Key Features:
BOS-Based Entry Logic: Enters trades only after a valid break of structure (new higher high or lower low), signaling continuation from a Smart Money shift.
Momentum Filtered Entry: Requires candle confirmation to validate direction (e.g., bullish close after bullish BOS).
Full Backtest Engine: Built using strategy() functions, allowing you to test SL/TP performance and adjust position sizing.
Custom Risk Control: Adjust Stop Loss (in pips) and Target Profit using a flexible RR ratio (e.g. 1:2 or 1:3 setups).
Works Across Timeframes: Optimized for 15m, 1H, and 4H on XAUUSD, but works on any asset that respects structure.
⚙️ Settings:
Swing Sensitivity – Controls how strict pivot highs/lows are
Minimum Bar Spacing – Prevents overtrading after recent BOS
Stop Loss (in pips) – Fixed distance from entry
Risk/Reward Ratio – Multiplies SL for dynamic take-profit
Trade Direction – Supports both long and short with momentum
📊 How It Works:
Detects new structure break (BOS)
Confirms momentum with candle direction (close > open for long, close < open for short)
Triggers entry and sets TP/SL automatically
Logs results in the Strategy Tester for full backtest evaluation
📌 Optimized For:
XAUUSD (Gold)
Smart Money / SMC / ICT traders
Trend continuation + reversal structures
Backtest-focused strategy building
Institutional-level analysis
📎 Release Notes:
v1.0 – Initial release of BOS-only SMC strategy with full entry/exit simulation and strategy tester support.
⚠️ Disclaimer:
This strategy is built for educational and research purposes only. It is not a signal provider or financial advice. Always combine with your personal confirmation, confluence tools, and risk management.
