Price Volume Trend [sgbpulse]1. Introduction: What is Price Volume Trend (PVT)?
The Price Volume Trend (PVT) indicator is a powerful technical analysis tool designed to measure buying and selling pressure in the market based on price changes relative to trading volume. Unlike other indicators that focus solely on volume or price, PVT combines both components to provide a more comprehensive picture of trend strength.
How is it Calculated?
The PVT is calculated by adding or subtracting a proportional part of the daily volume from a cumulative total.
When the closing price rises, a proportional part of the daily volume (based on the percentage price change) is added to the previous PVT value.
When the closing price falls, a proportional part of the daily volume is subtracted from the previous PVT value.
If there is no change in price, the PVT value remains unchanged.
The result of this calculation is a cumulative line that rises when buying pressure is strong and falls when selling pressure dominates.
2. Why PVT? Comparison to Similar Indicators
While other indicators measure volume-price pressure, PVT offers a unique advantage:
PVT vs. On-Balance Volume (OBV):
OBV simply adds or subtracts the entire day's volume based on the closing direction (up/down), regardless of the magnitude of the price change. This means a 0.1% price change is treated the same as a 10% change.
PVT, on the other hand, gives proportional weight to volume based on the percentage price change. A trading day with a large price increase and high volume will impact the PVT significantly more than a small price increase with the same volume. This makes PVT more sensitive to trend strength and changes within it.
PVT vs. Accumulation/Distribution Line (A/D Line):
The A/D Line focuses on the relationship between the closing price and the bar's trading range (Close Location Value) and multiplies it by volume. It indicates whether the pressure is buying or selling within a single bar.
PVT focuses on the change between closing prices of consecutive bars, multiplying this by volume. It better reflects the flow of money into or out of an asset over time.
By combining volume with percentage price change, PVT provides deeper insights into trend confirmation, identifying divergences between price and volume, and spotting signs of weakness or strength in the current trend.
3. Indicator Settings (Inputs)
The "Price Volume Trend " indicator offers great flexibility for customization to your specific needs through the following settings:
Moving Average Type: Allows you to select the type of moving average used for the central line on the PVT. Your choice here will affect the line's responsiveness to PVT movements.
- "None" : No moving average will be displayed on the PVT.
- "SMA" (Simple Moving Average): A simple average, smoother, ideal for identifying longer-term trends in PVT.
- "SMA + Bollinger Bands": This unique option not only displays a Simple Moving Average but also activates the Bollinger Bands around the PVT. This is the recommended option for analyzing volatility and ranges using Bollinger Bands.
- "EMA" (Exponential Moving Average): An exponential average, giving more weight to recent data, responding faster to changes in PVT.
- "SMMA (RMA)" (Smoothed Moving Average): A smoothed average, providing extra smoothing, less sensitive to noise.
- "WMA" (Weighted Moving Average): A weighted average, giving progressively more weight to recent data, responding very quickly to changes in PVT.
Moving Average Length: Defines the number of bars used to calculate the moving average (and, if applicable, the standard deviation for the Bollinger Bands). A lower value will make the line more responsive, while a higher value will smooth it out.
PVT BB StdDev (Bollinger Bands Standard Deviation): Determines the width of the Bollinger Bands. A higher value will result in wider bands, making it less likely for the PVT to cross them. The standard value is 2.0.
4. Visual Aid: Current PVT Level Line
This indicator includes a unique and highly useful visual feature: a dynamic horizontal line displayed on the PVT graph.
Purpose: This line marks the exact level of the PVT on the most recent trading bar. It extends across the entire chart, allowing for a quick and intuitive comparison of the current level to past levels.
Why is it Important?
- Identifying Divergences: Often, an asset's price may be lower or higher than past levels, but the PVT level might be different. This auxiliary line makes it easy to spot situations where PVT is at a higher level when the price is lower, or vice-versa, which can signal potential trend changes (e.g., higher PVT than in the past while price is low could indicate strong accumulation).
- Quick Direction Indication: The line's color changes dynamically: it will be green if the PVT value on the last bar has increased (or remained the same) relative to the previous bar (indicating positive buying pressure), and red if the PVT value has decreased relative to the previous bar (indicating selling pressure). This provides an immediate visual cue about the direction of the cumulative momentum.
5. Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Trend Analysis
Auto Market Structure BOS & CHOCH [TeamCash]Auto Market Structure
The Auto Market Structure (AMS) indicator automatically maps market structure to guide your trading. Using pivot points, it plots lines and labels to identify Break of Structure (BOS)—a price break of a key level signaling trend continuation—and Change of Character (CHOCH)—a shift in market direction after breaking a swing high/low. How It Works: BITSTAMP:BTCUSD BITSTAMP:ETHUSD AMS detects pivot points across multiple timeframes, marking BOS and CHOCH with white lines (solid for confirmed, dotted for potential) and labels. It automatically tracks level crosses, highlighting trend shifts or continuations. Optional Fibonacci lines (yellow) can be enabled for precise entry and target zones.
Why Use AMS?
Automates market structure analysis for faster, clearer setups.
Pairs with Fibonacci for high-probability entry and exit points.
Works across timeframes, despite minor bugs, for versatile trading.
Ideal for traders combining structure and Fibonacci in BITSTAMP:BTCUSD and BITSTAMP:ETHUSD markets, offering a powerful, evolving tool for technical analysis.
Intelligent Moving📈 Intelligent Moving — Self-Adjusting Trend Bands with Neural Optimization
Description
Intelligent Moving is a closed-source indicator for trend analysis and breakout detection. It uses a central moving average, ATR-based deviation bands, and a self-optimizing algorithm powered by virtual trade simulation and a simple neural network (perceptron). The tool adjusts its core parameters in real time, allowing it to dynamically adapt to evolving market conditions without manual intervention.
🧩 Structure and Visual Elements
The indicator displays:
- 📍 Central Moving Average Line: The trend baseline.
- 📊 ATR-Based Deviation Bands: Upper and lower lines offset from the MA using an adaptive multiplier.
- 📈 Trend Coloring: All three lines change color based on whether the price is trending above or below the MA.
- 🔼🔽 Signal Arrows: Buy/sell arrows appear when the price reverts from an overextended zone.
🔍 Detailed Logic of Calculations
1. Moving Average
The center line is a moving average whose period is dynamically optimized based on historical performance. It reflects the current trend direction and is used for band calculations and signal logic.
2. ATR-Based Deviation Bands
Deviation bands are calculated as:
- Upper Band = MA + ATR × UpperDeviation
- Lower Band = MA − ATR × LowerDeviation
These bands do not use standard deviation. Instead, the ATR (with the same period as the MA) is multiplied by deviation coefficients, which are optimized in real time.
3. Trend Coloring
The indicator colors the bands based on the relative position of price closes:
- Bullish Trend (e.g., Blue): Recent closes are above the MA.
- Bearish Trend (e.g., Red): Recent closes are below the MA.
This helps traders visually identify the dominant trend at a glance.
🎯 Signal Generation Logic
🔼 Buy Signal:
- Price closes below the lower band for one or more bars.
- Then, a bar closes back above the lower band.
🔽 Sell Signal:
- Price closes above the upper band for one or more bars.
- Then, a bar closes back below the upper band.
Signals are reversion-based, not triggered by classical crossovers or oscillators. They aim to detect price exhaustion followed by reversal.
🧠 Neural Optimization Engine
The key innovation in Intelligent Moving is a lightweight neural self-optimization system.
🧪 Virtual Trade Simulation
At regular intervals (e.g., every 100 bars), the indicator performs simulations:
- Virtual Buy Entry: When price closes below the lower band and then closes above.
- Virtual Sell Entry: When price closes above the upper band and then closes below.
- Virtual Stop-Losses:
- - For longs: one pip below the lowest low during the signal zone.
- - For shorts: one pip above the highest high during the signal zone.
- Virtual Take-Profit Conditions:
- - Longs close when price closes above the MA.
- - Shorts close when price closes below the MA.
Simulated profits are calculated for each combination of parameters.
🔄 Neural Optimization Process
Using the results of these virtual trades, the built-in perceptron neural network evaluates:
- A range of moving average periods
- A range of upper and lower deviation coefficients
You define the optimization boundaries through:
- Base value
- Step size
- Number of passes
- Whether to base the search on the original value or the last-best result
The perceptron selects the best-performing combination, which is then used until the next optimization cycle.
This enables the indicator to continuously adapt to changing market dynamics.
🚀 Why Use Intelligent Moving?
- ✅ Dynamic self-optimization using neural logic
- ✅ Reversion-based signal system
- ✅ Visual trend clarity through adaptive coloring
- ✅ No manual tuning required
- ✅ Customizable visuals and alerts
⚠️ Additional Notes
- This script is closed-source, but the description provides sufficient transparency about its logic and mechanisms as required by TradingView rules.
- It does not repaint signals.
- The built-in training is purely historical, and parameters are only updated between intervals — not retroactively.
- Due to the complexity of the internal training and optimization logic, the script may take longer to load, especially when deep simulation depth or a large number of passes is selected.
- In rare cases, TradingView may show a “Script execution timeout” error if the combined loop workload exceeds platform limits. If that happens, try reducing:
- - Neurolearning Rates Depth
- - Neurolearning Periods Passes
- - Neurolearning Deviations Passes
Crypto Trend StrengthCrypto Trend Strength Dashboard (11-Point System)
Description:
This indicator is a visually enhanced dashboard that evaluates 11 key technical signals to assess bullish momentum for crypto. Each condition is displayed in a easy reading table for quick interpretation and visual appeal.
Signals include:
Higher highs and higher lows
Price above SMA18 and SMA365
SMA180 > SMA365
Positive slope on SMA180 and SMA365
RSI trending upward
Ideal for traders who want a clean, at-a-glance summary of market strength without scanning multiple charts or indicators.
Polaris Trend All-in-One📘 Polaris Trend Indicator: Trading Rules & Strategy
Guide
The Polaris Trend Indicator is designed to simplify trading decisions by identifying key entry
and exit signals without the need for excessive technical analysis. This system combines the
Polaris Trend with the Polaris Golden Wave and Market Bias tools to give you confidence
across multiple timeframes.
This guide outlines clear trading rules for two use cases:
● Swing Trading
● Long-Term Investing and Holding
⚡ Swing Trading Strategy
Swing trading can be challenging when the market direction is unclear. The Polaris Trend helps
traders stay on the right side of momentum with straightforward visual signals. This approach is
best used on the Daily or Weekly chart.
✅ Entry Criteria (Bullish Trades)
● A solid green column appears above the zero line.
● A green upward arrow confirms bullish momentum.
● Enter your trade immediately when the green column first appears.
● Hold the trade until a red column appears, signaling a shift in momentum.
🚫 Exit Criteria (Bullish Trades)
● The first appearance of a red column after a green run.
● Multiple green columns followed by a red column.
● Do not enter trades mid-trend; always enter on the first green flip.
***Recommended Swing Strategy
● When a new daily green column appears but the weekly columns are still red, stay
nimble. Enter your position when the Polaris Trend Indicator turns green and displays an
upward-pointing arrow.
● If the price pulls back to a higher low but a red daily column forms, sell 50% of your
position and move your stop loss to your original entry. Then, wait for the next daily
green column and arrow to reappear, this is your signal to reenter the 50% you exited.
● If the price continues to rise and the weekly columns also turn green, shift your focus
to the weekly chart. Ignore daily signals and hold the trade until the weekly column
turns red, which will be your cue to exit. The weekly green column is your confirmation of
a stronger uptrend and a potential longer hold.
🔻 Entry Criteria (Bearish Trades)
● A solid red column appears below the zero line.
● A red downward arrow confirms bearish momentum.
● Enter your short trade immediately when the red column first appears.
● Hold until a green column appears, indicating momentum has shifted.
🔁 Exit Criteria (Bearish Trades)
● The first green column that follows a red sequence.
● Same rule applies: enter only on the initial flip, not mid-trend.
Note: The first color flip is the most reliable entry point. Avoid entering positions
deep into a trend, wait for the clear signal from Polaris.
🧭 Long-Term Investing Strategy
This approach combines the Polaris Golden Wave, Polaris Trend, and Market Bias to help
long-term investors buy at deep value levels and scale into positions over time.
📉 Ideal Entry: Golden Zone + Polaris Trend Signal
● Use the Golden Wave to identify the monthly 0.618–0.826 retracement zone
(significant discount levels).
● When price enters the Golden Zone and the Polaris Trend shows a green column on
the Daily or Weekly, this is your optimal entry point.
● If the trend turns red inside the zone, consider trimming positions and re-entering on the
next bullish signal.
If price drops below the Golden Zone, the stock becomes even more undervalued,
wait for the next green Polaris Trend signal to enter.
💰 Secondary Entry: Market Bias Rebounds
● If you miss the Golden Zone entry or are dollar-cost averaging:
○ Use the Market Bias on a Weekly timeframe.
○ Wait for price to retrace into the Market Bias band after moving higher.
○ Look for a red Polaris Trend column, then wait for price to enter the Market
Bias band and once it enters, wait for Polaris Trend signal to flip back to green
for your entry. If the trend turns red inside the zone, consider trimming positions
and re-entering on the next bullish signal.
Think of the Market Bias like a lake and price like a skipping stone—you want to
buy when the stone comes down and touches the surface.
📊 Indicator Explanations
🔶 Golden Wave (Monthly Fibonacci Retracement Zones)
● Highlights key monthly retracement zones (0.618 to 0.826).
● Helps identify deep-value entries on longer timeframes.
● Visible across all chart timeframes for consistent macro reference.
🔴 Market Bias (Smoothed Heikin-Ashi Trend Filter)
● Measures trend direction and strength using smoothed Heikin-Ashi candles and
oscillation logic.
● Customizable smoothing, oscillator period, and timeframe inputs.
● Option to display trend signals in a separate pane with dynamic coloring.
This combined approach empowers traders to make high-quality decisions with clarity and
discipline. Whether you're entering short-term swings or building long-term positions, the
Polaris Trend system guides you with timely, data-driven signals.
Crptopastor support & Resistance ProThis invite-only script, S/R Pro: Dynamic Confluence Zones & Trade Setups , is an advanced support and resistance indicator designed to cut through market noise and identify high-probability price levels.
Standard support and resistance indicators often clutter the chart with dozens of single-price lines, leaving the trader to guess which ones are truly significant. This script solves that problem using a proprietary clustering algorithm. Instead of just marking individual pivots, it analyzes pivot density to identify areas of historical price confluence. These areas are then drawn as dynamic zones, giving you a much clearer and more actionable view of the market structure.
This tool is built for serious traders who value a clean chart and data-driven insights. It automatically filters, grades, and displays only the most relevant S/R zones, and even plots potential trade setups based on these key levels.
Justification of Originality (Why this is a "Pro" Tool)
While the foundation of this indicator is the classic Pivot High/Low concept ( ta.pivothigh / ta.pivotlow ), its core value and originality come from its proprietary post-processing logic. Here's what makes it unique and worth protecting as a closed-source script:
Pivot Clustering Algorithm: The script does not just plot raw pivots. It collects a history of recent pivot points and intelligently clusters them together based on their proximity. If multiple pivots form within a narrow price range (configurable by you), the script merges them into a single, high-validity S/R zone. This method identifies true areas of supply and demand, not just isolated price wicks.
Dynamic Strength Rating: Not all zones are created equal. Each zone is given a "strength" score based on the number of individual pivots that formed it. This allows the indicator (and you) to distinguish between a minor level and a major institutional zone. You can set a minimum strength to filter out insignificant levels entirely.
Intelligent Zone Management: To maintain chart clarity, the script has a built-in logic to manage overlapping zones. If a new, stronger zone forms that overlaps with an existing, weaker one, the weaker zone is automatically removed. This ensures your chart always shows the most relevant and current market structure.
Automated Trade Setup Plotting: Beyond just identifying zones, this script actively helps with trade planning. It identifies the nearest support or resistance zone relative to the current price and automatically generates and plots a potential trade setup, including:
An Entry Price (at the midpoint of the zone)
A Stop Loss (placed with a user-defined safety buffer below a support zone or above a resistance zone)
Up to 5 Take Profit Levels (dynamically identified from the subsequent S/R zones)
How The Indicator Works: The Logic Explained
To provide full transparency on the script's mechanics without revealing the entire source, here is a step-by-step breakdown of the calculation process:
Step 1: Raw Pivot Detection: The script begins by identifying all recent pivot highs and lows using standard Pine Script functions, based on the Pivot Period you set.
Step 2: Pivot Clustering & Zone Creation: This is the core engine. The script iterates through the detected pivots. For each pivot, it scans for other nearby pivots within a price range defined by the Maximum Channel Width % input. All pivots found within this range are grouped into a "cluster."
Step 3: Strength Calculation & Filtering: The number of pivots within each cluster determines its "strength." Only clusters that meet the Minimum Strength requirement are considered valid S/R zones.
Step 4: Zone Consolidation & Display: The script plots the valid clusters as colored boxes (zones). To avoid clutter, it limits the display to the Maximum Number of S/R zones and ensures that stronger, overlapping zones replace weaker ones. The zone's color dynamically changes between support (green) and resistance (red) based on whether the current price is above or below it.
Step 5: Trade Setup Calculation: The indicator finds the closest valid support zone below the price and the closest valid resistance zone above it. Based on which is closer, it determines a likely trade direction (Long or Short) and plots the Entry, Stop Loss, and Take Profit levels accordingly.
Settings & Input Parameters Explained
This script is fully customizable to suit your trading style and the asset you are trading.
Setup
Pivot Period (prd) : The lookback period (number of bars to the left and right) to identify a pivot. A smaller number will be more sensitive and generate more pivots. Default is 10.
Source (ppsrc) : The price data used to calculate pivots. High/Low is standard for capturing extremes. Close/Open can be used to focus on body-based levels.
Maximum Number of Pivot (maxnumpp) : The maximum number of recent raw pivots the script will store in memory for its calculations.
Maximum Channel Width % (ChannelW) : This is a key setting. It defines how close pivots need to be (as a percentage of recent price range) to be clustered into a single zone. A larger value will create wider zones and group more distant pivots together.
Maximum Number of S/R (maxnumsr) : The maximum number of final S/R zones to display on the chart. This keeps the chart clean.
Minimum Strength (min_strength) : The minimum number of pivots required to form a valid S/R zone. A higher number means the zone is stronger and more respected.
Show Point Points (showpp) : A visual aid to see the raw pivot points that the script is using for its calculations.
Trade Setup
Show Trade Setups : Toggles the display of the automated Entry, SL, and TP labels.
Number of Take Profit Levels : Sets the maximum number of TP levels to plot.
Stop Loss Buffer % (sl_buffer_pct) : A crucial risk management tool. It adds a safety buffer to your stop loss, placing it a certain percentage of the zone's height away from the zone's edge to avoid stop hunts.
Colors
Fully customize the colors, line style, width, and label location to match your chart's theme.
How to Use in Your Trading
This indicator is versatile and can be used in several ways:
Mean Reversion Strategy: Look for entries when the price rejects a strong support or resistance zone. For example, wait for price to touch a green support zone and then start moving up before considering a long position.
Breakout Strategy: Use the zones as your breakout levels. A decisive close above a red resistance zone (which will then turn green) can signal a bullish breakout. The built-in "Resistance Broken" and "Support Broken" alerts are perfect for this.
Confirmation Tool: Use these data-driven zones to confirm levels identified by your own analysis. If your trendline converges with a strong zone from this script, your confidence in that level should increase.
Trade Management: Use the automatically plotted S/R zones as logical levels to take partial profits or trail your stop loss. The automated Take Profit levels are designed for this purpose.
Disclaimer: This indicator is a tool to aid in technical analysis and decision-making. It is not a signal-generating "robot" and should not be followed blindly. All trading involves risk, and past performance is not indicative of future results. Please use this script as part of a comprehensive trading plan with proper risk management.
Kinetic Profits Screen_v1.0The Kinetic Profits Screen tool is a momentum tool that seeks to identify whether an asset is moving higher in price with positive momentum, or lower with negative momentum, by assessing the asset's price action relative to historical highs and lows, over a custom and defined lookback period calibrated for the "swing" trading style.
Bullish positive momentum periods are signaled when the bullish green line crosses over and is above the bearish red line, while bearish negative momentum periods are indicated when the bearish red line crosses over and is above the bullish green line.
This tool is designed and intended to be used in the Screener to identify assets that have just recently experience a transition between potentially bullish and bearish periods.The tool is NOT meant to be construed as any form of buy/sell/entry/exit recommendation.
Kinetic Profits Indicator_v1.0The Kinetic Profits Indicator is a momentum tool that seeks to identify whether an asset is moving higher in price with positive momentum, or lower with negative momentum, by assessing the asset's price action relative to historical highs and lows, over a custom and defined lookback period calibrated for the "swing" trading style.
Bullish positive momentum periods are signaled when the bullish green line crosses over and is above the bearish red line, while bearish negative momentum periods are indicated when the bearish red line crosses over and is above the bullish green line. This indicator alone is plotted as a subgraph below the price chart.
PRO SMC DASHBOARDPRO SMC DASHBOARD - PRO LEVEL
Advanced Supply & Demand / SMC dashboard for scalping and intraday:
Multi-Timeframe Trend: Visualizes trend direction for M1, M5, M15, H1, H4.
HTF Supply/Demand: Shows closest high time frame (HTF) supply/demand zone and distance (in pips).
Smart “Flip” & Liquidity Signals: Flip and Liquidity Sweep arrows/signals are shown only when truly significant:
Near HTF Supply/Demand zone
And confirmed by volume spike or high confluence score
Momentum & Bias: Real-time momentum (RSI M1), H1 bias and fakeout detection.
Confluence Score: Objective score (out of 7) for trade confidence.
Volume Spike, Divergence, BOS: Includes volume spikes, RSI divergence (M1), and Break of Structure (BOS) for both M15 & H1.
Ultra-clean chart: Only valid signals/alerts shown; no spam or visual clutter.
Full dashboard with all signals and context, always visible bottom-right.
Best used for:
Forex, Gold/Silver, US indices, and crypto
Scalping/intraday with fast, clear decisions based on multi-factor SMC logic
Usage:
Add to your chart, monitor the dashboard for valid setups, and trade only when multiple factors align for high-probability entries.
How to Use the PRO SMC DASHBOARD
1. Add the Script to Your Chart:
Apply the indicator to your favorite Forex, Gold, crypto, or indices chart (best on M1, M5, or M15 for entries).
2. Read the Dashboard (Bottom Right):
The dashboard shows real-time information from multiple timeframes and key SMC filters, including:
Trend (M1, M5, M15, H1, H4):
Arrows show up (↑) or down (↓) trend for each timeframe, based on EMA.
Momentum (RSI M1):
Shows “Strong Up,” “Strong Down,” or “Neutral” plus the current RSI value.
RSI (H1):
Higher timeframe momentum confirmation.
ATR State:
Indicates current volatility (High, Normal, Low).
Session:
Detects if the market is in London, NY, or Asia session (based on UTC).
HTF S/D Zone:
Shows the nearest high timeframe Supply or Demand zone, its timeframe (M15, H1, H4), and exact pip distance.
Fakeout (last 3):
Detects recent false breakouts—if there are multiple fakeouts, potential for reversal is higher.
FVG (Fair Value Gap):
Indicates direction and distance to the nearest FVG (Above/Below).
Bias:
“Strong Buy,” “Strong Sell,” or “Neutral”—multi-timeframe, momentum, and volatility filtered.
Inducement:
Alerts for possible “stop hunt” or liquidity grab before reversal.
BOS (Break of Structure):
Recent or live breaks of market structure (for both M15 & H1).
Liquidity Sweep:
Shows if price just swept a key high/low and then reversed (often key reversal point).
Confluence Score (0-7):
Higher score means more factors align—look for 5+ for strong setups.
Volume Spike:
“YES” appears if the current volume is significantly above average—big players are active!
RSI Divergence:
Bullish or bearish divergence on M1—signals early reversal risk.
Momentum Flip:
“UP” or “DN” appears if RSI M1 crosses the 50 line, confirmed by location and other filters.
Chart Signals (Arrows & Markers):
Flip arrows (up/down) and Liquidity markers only appear when price is at/near a key Supply/Demand zone and confirmed by either a volume spike or strong confluence.
No signal spam:
If you see an arrow or LIQ tag, it’s a truly significant moment!
Suggested Trading Workflow:
Scan the Dashboard:
Is the multi-timeframe trend aligned?
Are you near a major Supply or Demand zone?
Is the Confluence Score high (5 or more)?
Check for Signals:
Is there a Flip or LIQ marker near a Supply/Demand zone?
Is volume spiking or a fakeout just occurred?
Look for Reversal or Continuation:
If there’s a Flip at Demand (with high confluence), consider a long setup.
If there’s a LIQ sweep + flip + volume at Supply, consider a short.
Manage Risk:
Don’t chase every signal.
Confirm with your entry criteria and preferred session timing.
Pro Tips:
Highest confidence trades:
When dashboard signals and chart arrows/markers agree, especially with high confluence and volume spike.
Adapt pip distance filter:
Dashboard is tuned for FX and gold; for other assets, adjust pip-size filter if needed.
Use alerts (if enabled):
Set up custom TradingView alerts for “Flip” or “Liquidity” signals for auto-notifications.
Designed to help you make professional, objective decisions—without chart clutter or second-guessing!
Ultra BUY SELL//@version=5
indicator("Ultra BUY SELL", overlay = false)
// Inputs
src = input(close, "Source", group = "Main settings")
p = input.int(180, "Trend period", group = "Main settings", tooltip = "Changes STRONG signals' sensitivity.", minval = 1)
atr_p = input.int(155, "ATR Period", group = "Main settings", minval = 1)
mult = input.float(2.1, "ATR Multiplier", step = 0.1, group = "Main settings", tooltip = "Changes sensitivity: higher period = higher sensitivty.")
mode = input.string("Type A", "Signal mode", options = , group = "Mode")
use_ema_smoother = input.string("No", "Smooth source with EMA?", options = , group = "Source")
src_ema_period = input(3, "EMA Smoother period", group = "Source")
color_bars = input(true, "Color bars?", group = "Addons")
signals_view = input.string("All", "Signals to show", options = , group = "Signal's Addon")
signals_shape = input.string("Labels", "Signal's shape", options = , group = "Signal's Addon")
buy_col = input(color.rgb(0, 255, 8), "Buy colour", group = "Signal's Addon", inline = "BS")
sell_col = input(color.rgb(255, 0, 0), "Sell colour", group = "Signal's Addon", inline = "BS")
// Calculations
src := use_ema_smoother == "Yes" ? ta.ema(src, src_ema_period) : src
// Source;
h = ta.highest(src, p)
// Highest of src p-bars back;
l = ta.lowest(src, p)
// Lowest of src p-bars back.
d = h - l
ls = ""
// Tracker of last signal
m = (h + l) / 2
// Initial trend line;
m := bar_index > p ? m : m
atr = ta.atr(atr_p)
// ATR;
epsilon = mult * atr
// Epsilon is a mathematical variable used in many different theorems in order to simplify work with mathematical object. Here it used as sensitivity measure.
change_up = (mode == "Type B" ? ta.cross(src, m + epsilon) : ta.crossover(src, m + epsilon)) or src > m + epsilon
// If price breaks trend line + epsilon (so called higher band), then it is time to update the value of a trend line;
change_down = (mode == "Type B" ? ta.cross(src, m - epsilon) : ta.crossunder(src, m - epsilon)) or src < m - epsilon
// If price breaks trend line - epsilon (so called higher band), then it is time to update the value of a trend line.
sb = open < l + d / 8 and open >= l
ss = open > h - d / 8 and open <= h
strong_buy = sb or sb or sb or sb or sb
strong_sell = ss or ss or ss or ss or ss
m := (change_up or change_down) and m != m ? m : change_up ? m + epsilon : change_down ? m - epsilon : nz(m , m)
// Updating the trend line.
ls := change_up ? "B" : change_down ? "S" : ls
// Last signal. Helps avoid multiple labels in a row with the same signal;
colour = ls == "B" ? buy_col : sell_col
// Colour of the trend line.
buy_shape = signals_shape == "Labels" ? shape.labelup : shape.triangleup
sell_shape = signals_shape == "Labels" ? shape.labeldown : shape.triangledown
// Plottings
// Signals with label shape
plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Buy/Sell") and change_up and ls != "B" and not strong_buy, "Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.normal, text = "BUY", textcolor = color.white, force_overlay=true)
// Plotting the BUY signal;
plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Buy/Sell") and change_down and ls != "S" and not strong_sell, "Sell signal" , color = colour, style = sell_shape, size = size.normal, text = "SELL", textcolor = color.white, force_overlay=true)
// Plotting the SELL signal.
plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Strong") and change_up and ls != "B" and strong_buy, "Strong Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.normal, text = "STRONG", textcolor = color.white, force_overlay=true)
// Plotting the STRONG BUY signal;
plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Strong") and change_down and ls != "S" and strong_sell, "Strong Sell signal" , color = colour, style = sell_shape, size = size.normal, text = "STRONG", textcolor = color.white, force_overlay=true)
// Plotting the STRONG SELL signal.
// Signal with arrow shape
plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Buy/Sell") and change_up and ls != "B" and not strong_buy, "Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.tiny, force_overlay=true)
// Plotting the BUY signal;
plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Buy/Sell") and change_down and ls != "S" and not strong_sell, "Sell signal" , color = colour, style = sell_shape, size = size.tiny, force_overlay=true)
// Plotting the SELL signal.
plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Strong") and change_up and ls != "B" and strong_buy, "Strong Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.tiny, force_overlay=true)
// Plotting the STRONG BUY signal;
plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Strong") and change_down and ls != "S" and strong_sell, "Strong Sell signal" , color = colour, style = sell_shape, size = size.tiny, force_overlay=true)
// Plotting the STRONG SELL signal.
barcolor(color_bars ? colour : na)
// Bar coloring
// Alerts
matype = input.string(title='MA Type', defval='EMA', options= )
ma_len1 = input(title='Short EMA1 Length', defval=5)
ma_len2 = input(title='Long EMA1 Length', defval=7)
ma_len3 = input(title='Short EMA2 Length', defval=5)
ma_len4 = input(title='Long EMA2 Length', defval=34)
ma_len5 = input(title='Short EMA3 Length', defval=98)
ma_len6 = input(title='Long EMA3 Length', defval=45)
ma_len7 = input(title='Short EMA4 Length', defval=7)
ma_len8 = input(title='Long EMA4 Length', defval=11)
ma_len9 = input(title='Short EMA5 Length', defval=11)
ma_len10 = input(title='Long EMA5 Length', defval=15)
ma_offset = input(title='Offset', defval=0)
//res = input(title="Resolution", type=resolution, defval="240")
f_ma(malen) =>
float result = 0
if matype == 'EMA'
result := ta.ema(src, malen)
result
if matype == 'SMA'
result := ta.sma(src, malen)
result
result
htf_ma1 = f_ma(ma_len1)
htf_ma2 = f_ma(ma_len2)
htf_ma3 = f_ma(ma_len3)
htf_ma4 = f_ma(ma_len4)
htf_ma5 = f_ma(ma_len5)
htf_ma6 = f_ma(ma_len6)
htf_ma7 = f_ma(ma_len7)
htf_ma8 = f_ma(ma_len8)
htf_ma9 = f_ma(ma_len9)
htf_ma10 = f_ma(ma_len10)
//plot(out1, color=green, offset=ma_offset)
//plot(out2, color=red, offset=ma_offset)
//lengthshort = input(8, minval = 1, title = "Short EMA Length")
//lengthlong = input(200, minval = 2, title = "Long EMA Length")
//emacloudleading = input(50, minval = 0, title = "Leading Period For EMA Cloud")
//src = input(hl2, title = "Source")
showlong = input(false, title='Show Long Alerts')
showshort = input(false, title='Show Short Alerts')
showLine = input(false, title='Display EMA Line')
ema1 = input(true, title='Show EMA Cloud-1')
ema2 = input(true, title='Show EMA Cloud-2')
ema3 = input(true, title='Show EMA Cloud-3')
ema4 = input(true, title='Show EMA Cloud-4')
ema5 = input(true, title='Show EMA Cloud-5')
emacloudleading = input.int(0, minval=0, title='Leading Period For EMA Cloud')
mashort1 = htf_ma1
malong1 = htf_ma2
mashort2 = htf_ma3
malong2 = htf_ma4
mashort3 = htf_ma5
malong3 = htf_ma6
mashort4 = htf_ma7
malong4 = htf_ma8
mashort5 = htf_ma9
malong5 = htf_ma10
cloudcolour1 = mashort1 >= malong1 ? color.rgb(0, 255, 0) : color.rgb(255, 0, 0)
cloudcolour2 = mashort2 >= malong2 ? #4caf4f47 : #ff110047
cloudcolour4 = mashort4 >= malong4 ? #4caf4f52 : #f2364652
cloudcolour5 = mashort5 >= malong5 ? #33ff0026 : #ff000026
//03abc1
mashortcolor1 = mashort1 >= mashort1 ? color.olive : color.maroon
mashortcolor2 = mashort2 >= mashort2 ? color.olive : color.maroon
mashortcolor3 = mashort3 >= mashort3 ? color.olive : color.maroon
mashortcolor4 = mashort4 >= mashort4 ? color.olive : color.maroon
mashortcolor5 = mashort5 >= mashort5 ? color.olive : color.maroon
mashortline1 = plot(ema1 ? mashort1 : na, color=showLine ? mashortcolor1 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA1', force_overlay=true)
mashortline2 = plot(ema2 ? mashort2 : na, color=showLine ? mashortcolor2 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA2', force_overlay=true)
mashortline3 = plot(ema3 ? mashort3 : na, color=showLine ? mashortcolor3 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA3', force_overlay=true)
mashortline4 = plot(ema4 ? mashort4 : na, color=showLine ? mashortcolor4 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA4', force_overlay=true)
mashortline5 = plot(ema5 ? mashort5 : na, color=showLine ? mashortcolor5 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA5', force_overlay=true)
malongcolor1 = malong1 >= malong1 ? color.green : color.red
malongcolor2 = malong2 >= malong2 ? color.green : color.red
malongcolor3 = malong3 >= malong3 ? color.green : color.red
malongcolor4 = malong4 >= malong4 ? color.green : color.red
malongcolor5 = malong5 >= malong5 ? color.green : color.red
malongline1 = plot(ema1 ? malong1 : na, color=showLine ? malongcolor1 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA1', force_overlay=true)
malongline2 = plot(ema2 ? malong2 : na, color=showLine ? malongcolor2 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA2', force_overlay=true)
malongline3 = plot(ema3 ? malong3 : na, color=showLine ? malongcolor3 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA3', force_overlay=true)
malongline4 = plot(ema4 ? malong4 : na, color=showLine ? malongcolor4 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA4', force_overlay=true)
malongline5 = plot(ema5 ? malong5 : na, color=showLine ? malongcolor5 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA5', force_overlay=true)
fill(mashortline1, malongline1, color=cloudcolour1, title='MA Cloud1', transp=45)
fill(mashortline2, malongline2, color=cloudcolour2, title='MA Cloud2', transp=65)
fill(mashortline4, malongline4, color=cloudcolour4, title='MA Cloud4', transp=65)
fill(mashortline5, malongline5, color=cloudcolour5, title='MA Cloud5', transp=65)
leftBars = input(15, title='Left Bars ')
rightBars = input(15, title='Right Bars')
volumeThresh = input(20, title='Volume Threshold')
//
highUsePivot = fixnan(ta.pivothigh(leftBars, rightBars) )
lowUsePivot = fixnan(ta.pivotlow(leftBars, rightBars) )
r1 = plot(highUsePivot, color=ta.change(highUsePivot) ? na : #FF0000, linewidth=3, offset=-(rightBars + 1), title='Resistance', force_overlay=true)
s1 = plot(lowUsePivot, color=ta.change(lowUsePivot) ? na : #00ff0d, linewidth=3, offset=-(rightBars + 1), title='Support', force_overlay=true)
//Volume %
short = ta.ema(volume, 5)
long = ta.ema(volume, 10)
osc = 100 * (short - long) / long
//For bull / bear wicks
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © divudivu600
// Developer By ALCON ALGO
//telegram : @harmonicryptosignals
//@version = 5
//indicator(shorttitle='Oscillator Vision', title='Alcon Oscillator Vision', overlay=false)
n1 = input(10, 'Channel length')
n2 = input(21, 'Average length')
reaction_wt = input.int(defval=1, title='Reaction in change of direction', minval=1)
nsc = input.float(53, 'Levels About Buys', minval=0.0)
nsv = input.float(-53, 'Levels About Sells', maxval=-0.0)
Buy_sales = input(true, title='Only Smart Buy Reversal')
Sell_sales = input(true, title='Only Smart Sell Reversal')
Histogram = input(true, title='Show Histogarm')
//Trendx = input(false, title='Show Trendx')
barras = input(true, title='Divergence on chart(Bars)')
divregbull = input(true, title='Regular Divergence Bullish')
divregbear = input(true, title='Regular Divergence Bearish')
divhidbull = input(true, title='Show Divergence Hidden Bullish')
divhidbear = input(true, title='Show Divergence Hidden Bearish')
Tags = input(true, title='Show Divergence Lable')
amme = input(false, title='Activar media movil Extra para WT')
White = #FDFEFE
Black = #000000
Bearish = #e91e62
Bullish = #18e0ff
Strong_Bullish = #2962ff
Bullish2 = #00bedc
Blue1 = #00D4FF
Blue2 = #009BBA
orange = #FF8B00
yellow = #FFFB00
LEZ = #0066FF
purp = #FF33CC
// Colouring
tf(_res, _exp, gaps_on) =>
gaps_on == 0 ? request.security(syminfo.tickerid, _res, _exp) : gaps_on == true ? request.security(syminfo.tickerid, _res, _exp, barmerge.gaps_on, barmerge.lookahead_off) : request.security(syminfo.tickerid, _res, _exp, barmerge.gaps_off, barmerge.lookahead_off)
ha_htf = ''
show_ha = input.bool(true, "Show HA Plot/ Market Bias", group="HA Market Bias")
ha_len = input(7, 'Period', group="HA Market Bias")
ha_len2 = input(10, 'Smoothing', group="HA Market Bias")
// Calculations {
o = ta.ema(open, ha_len)
c = ta.ema(close, ha_len)
h1 = ta.ema(high, ha_len)
l1 = ta.ema(low, ha_len)
haclose = tf(ha_htf, (o + h1 + l1 + c) / 4, 0)
xhaopen = tf(ha_htf, (o + c) / 2, 0)
haopen = na(xhaopen ) ? (o + c) / 2 : (xhaopen + haclose ) / 2
hahigh = math.max(h1, math.max(haopen, haclose))
halow = math.min(l1, math.min(haopen, haclose))
o2 = tf(ha_htf, ta.ema(haopen, ha_len2), 0)
c2 = tf(ha_htf, ta.ema(haclose, ha_len2), 0)
h2 = tf(ha_htf, ta.ema(hahigh, ha_len2), 0)
l2 = tf(ha_htf, ta.ema(halow, ha_len2), 0)
ha_avg = (h2 + l2) / 2
// }
osc_len = 8
osc_bias = 100 *(c2 - o2)
osc_smooth = ta.ema(osc_bias, osc_len)
sigcolor =
(osc_bias > 0) and (osc_bias >= osc_smooth) ? color.new(Bullish, 35) :
(osc_bias > 0) and (osc_bias < osc_smooth) ? color.new(Bullish2, 75) :
(osc_bias < 0) and (osc_bias <= osc_smooth) ? color.new(Bearish, 35) :
(osc_bias < 0) and (osc_bias > osc_smooth) ? color.new(Bearish, 75) :
na
// }
nsc1 = nsc
nsc2 = nsc + 5
nsc3 = nsc + 10
nsc4 = nsc + 15
nsc5 = nsc + 20
nsc6 = nsc + 25
nsc7 = nsc + 30
nsc8 = nsc + 35
nsv1 = nsv - 5
nsv2 = nsv - 10
nsv3 = nsv - 15
nsv4 = nsv - 20
nsv5 = nsv - 25
nsv6 = nsv - 30
nsv7 = nsv - 35
nsv8 = nsv - 40
ap = hlc3
esa = ta.ema(ap, n1)
di = ta.ema(math.abs(ap - esa), n1)
ci = (ap - esa) / (0.015 * di)
tci = ta.ema(ci, n2)
wt1 = tci
wt2 = ta.sma(wt1, 4)
direction = 0
direction := ta.rising(wt1, reaction_wt) ? 1 : ta.falling(wt1, reaction_wt) ? -1 : nz(direction )
Change_of_direction = ta.change(direction, 1)
pcol = direction > 0 ? Strong_Bullish : direction < 0 ? Bearish : na
obLevel1 = input(60, 'Over Bought Level 1')
obLevel2 = input(53, 'Over Bought Level 2')
osLevel1 = input(-60, 'Over Sold Level 1')
osLevel2 = input(-53, 'Over Sold Level 2')
rsi = ta.rsi(close,14)
color greengrad = color.from_gradient(rsi, 10, 90, #00ddff, #007d91)
color redgrad = color.from_gradient(rsi, 10, 90, #8b002e, #e91e62)
ob1 = plot(obLevel1, color=#e91e6301)
os1 = plot(osLevel1, color=#00dbff01)
ob2 = plot(obLevel2, color=#e91e6301)
os2 = plot(osLevel2, color=#00dbff01)
p1 = plot(wt1, color=#00dbff01)
p2 = plot(wt2, color=#e91e6301)
plot(wt1 - wt2, color=wt2 - wt1 > 0 ? redgrad : greengrad, style=plot.style_columns)
// fill(p1,p2,color = wt2 - wt1 > 0 ? redgrad: greengrad) // old
fill(p1,p2,color = sigcolor)
// new
fill(ob1,ob2,color = #e91e6350)
fill(os1,os2,color = #00dbff50)
midpoint = (nsc + nsv) / 2
ploff = (nsc - midpoint) / 8
BullSale = ta.crossunder(wt1, wt2) and wt1 >= nsc and Buy_sales == true
BearSale = ta.crossunder(wt1, wt2) and Buy_sales == false
Bullishh = ta.crossover(wt1, wt2) and wt1 <= nsv and Sell_sales == true
Bearishh = ta.crossover(wt1, wt2) and Sell_sales == false
plot(BullSale ? wt2 + ploff : na, style=plot.style_circles, color=color.new(Bearish, 0), linewidth=6, title='BuysG')
plot(BearSale ? wt2 + ploff : na, style=plot.style_circles, color=color.new(Bearish, 0), linewidth=6, title='SellsG')
plot(Bullishh ? wt2 - ploff : na, style=plot.style_circles, color=color.new(Strong_Bullish, 0), linewidth=6, title='Buys On Sale')
plot(Bearishh ? wt2 - ploff : na, style=plot.style_circles, color=color.new(Strong_Bullish, 0), linewidth=6, title='Sells on Sale')
//plot(Histogram ? wt1 - wt2 : na, style=plot.style_area, color=color.new(Blue2, 80), linewidth=1, title='Histograma')
//barcolor(barras == true and Bullishh == true or barras == true and Bearishh == true ? Bullish2 : na)
//barcolor(barras == true and BullSale == true or barras == true and BearSale == true ? Bearish : na)
/////// Divergence ///////
f_top_fractal(_src) =>
_src < _src and _src < _src and _src > _src and _src > _src
f_bot_fractal(_src) =>
_src > _src and _src > _src and _src < _src and _src < _src
f_fractalize(_src) =>
f_top_fractal(_src) ? 1 : f_bot_fractal(_src) ? -1 : 0
fractal_top1 = f_fractalize(wt1) > 0 ? wt1 : na
fractal_bot1 = f_fractalize(wt1) < 0 ? wt1 : na
high_prev1 = ta.valuewhen(fractal_top1, wt1 , 0)
high_price1 = ta.valuewhen(fractal_top1, high , 0)
low_prev1 = ta.valuewhen(fractal_bot1, wt1 , 0)
low_price1 = ta.valuewhen(fractal_bot1, low , 0)
regular_bearish_div1 = fractal_top1 and high > high_price1 and wt1 < high_prev1 and divregbear == true
hidden_bearish_div1 = fractal_top1 and high < high_price1 and wt1 > high_prev1 and divhidbear == true
regular_bullish_div1 = fractal_bot1 and low < low_price1 and wt1 > low_prev1 and divregbull == true
hidden_bullish_div1 = fractal_bot1 and low > low_price1 and wt1 < low_prev1 and divhidbull == true
col1 = regular_bearish_div1 ? Bearish : hidden_bearish_div1 ? Bearish : na
col2 = regular_bullish_div1 ? Strong_Bullish : hidden_bullish_div1 ? Strong_Bullish : na
//plot(title='Divergence Bearish', series=fractal_top1 ? wt1 : na, color=col1, linewidth=2, transp=0)
//plot(title='Divergence Bullish', series=fractal_bot1 ? wt1 : na, color=col2, linewidth=2, transp=0)
plotshape(regular_bearish_div1 and divregbear and Tags ? wt1 + ploff * 1 : na, title='Divergence Regular Bearish', text='Bear', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(Bearish, 0), textcolor=color.new(White, 0))
plotshape(hidden_bearish_div1 and divhidbear and Tags ? wt1 + ploff * 1 : na, title='Divergence Hidden Bearish', text='H Bear', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(Bearish, 0), textcolor=color.new(White, 0))
plotshape(regular_bullish_div1 and divregbull and Tags ? wt1 - ploff * 1 : na, title='Divergence Regular Bullish', text='Bull', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(Strong_Bullish, 0), textcolor=color.new(White, 0))
plotshape(hidden_bullish_div1 and divhidbull and Tags ? wt1 - ploff * 1 : na, title='Divergence Hidden Bullish', text='H Bull', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(Strong_Bullish, 0), textcolor=color.new(White, 0))
/////// Unfazed Alerts //////
////////////////////////////////////////////////-MISTERMOTA MOMENTUM-/////////////////////////////////////
source = input(close)
responsiveness = math.max(0.00001, input.float(0.9, minval=0.0, maxval=1.0))
periodd = input(50)
sd = ta.stdev(source, 50) * responsiveness
var worm = source
diff = source - worm
delta = math.abs(diff) > sd ? math.sign(diff) * sd : diff
worm += delta
ma = ta.sma(source, periodd)
raw_momentum = (worm - ma) / worm
current_med = raw_momentum
min_med = ta.lowest(current_med, periodd)
max_med = ta.highest(current_med, periodd)
temp = (current_med - min_med) / (max_med - min_med)
value = 0.5 * 2
value *= (temp - .5 + .5 * nz(value ))
value := value > .9999 ? .9999 : value
value := value < -0.9999 ? -0.9999 : value
temp2 = (1 + value) / (1 - value)
momentum = .25 * math.log(temp2)
momentum += .5 * nz(momentum )
//momentum := raw_momentum
signal = nz(momentum )
trend = math.abs(momentum) <= math.abs(momentum )
////////////////////////////////////////////////-GROWING/FAILING-//////////////////////////////////////////
length = input.int(title="MOM Period", minval=1, defval=14, group="MOM Settings")
srcc = input(title="MOM Source", defval=hlc3, group="MOM Settings")
txtcol_grow_above = input(#1a7b24, "Above Grow", group="MOM Settings", inline="Above")
txtcol_fall_above = input(#672ec5, "Fall", group="MOM Settings", inline="Above")
txtcol_grow_below = input(#F37121, "Below Grow", group="MOM Settings", inline="Below")
txtcol_fall_below = input(#be0606, "Fall", group="MOM Settings", inline="Below")
ma(source, length, type) =>
switch type
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
typeMA = input.string(title = "Method", defval = "SMA", options= , group="MA Settings")
smoothingLength = input.int(title = "Length", defval = 5, minval = 1, maxval = 100, group="MA Settings")
smoothingLine = ma(delta, smoothingLength, typeMA)
deltaText=(delta > 0 ? (delta > delta ? " MOM > 0 and ▲ Growing, MOM = " + str.tostring(delta , "#.##") :" MOM > 0 and ▼ Falling, MOM = " + str.tostring(delta , "#.##") ) : (delta > delta ? "MOM < 0 and ▲ Growing, MOM = " + str.tostring(delta , "#.##"): " MOM < 0 and ▼ Falling, MOM = " + str.tostring(delta , "#.##")))
oneDay = 24 * 60 * 60 * 1000
barsAhead = 3
tmf = if timeframe.ismonthly
barsAhead * oneDay * 30
else if timeframe.isweekly
barsAhead * oneDay * 7
else if timeframe.isdaily
barsAhead * oneDay
else if timeframe.isminutes
barsAhead * oneDay * timeframe.multiplier / 1440
else if timeframe.isseconds
barsAhead * oneDay * timeframe.multiplier / 86400
else
0
angle(_src) =>
rad2degree = 180 / 3.14159265359
//pi
ang = rad2degree * math.atan((_src - _src ) / ta.atr(14))
ang
emae = angle(smoothingLine)
emaanglestat = emae > emae ? "▲ Growing": "▼ Falling"
deltaTextxxx = "MOM MA/ATR angle value is " + str.tostring(emae, "#.##") + "° and is " + emaanglestat
deltacolorxxx = emae >0 and emae >=emae ? txtcol_grow_above : txtcol_fall_below
// Label
label lpt1 = label.new(time, -30, text=deltaTextxxx , color=deltacolorxxx, xloc=xloc.bar_time, style=label.style_label_left, textcolor=color.white, textalign=text.align_left, size=size.normal)
label.set_x(lpt1, label.get_x(lpt1) + tmf)
label.delete(lpt1 )
txtdeltaColors = (delta > 50 ? (delta < delta ? txtcol_grow_above : txtcol_fall_above) : (delta < delta ? txtcol_grow_below : txtcol_fall_below))
label ldelta1 = label.new(time, 30, text=deltaText , color=txtdeltaColors, xloc=xloc.bar_time, style=label.style_label_left, textcolor=color.white, textalign=text.align_left, size=size.normal)
label.set_x(ldelta1, label.get_x(ldelta1) + tmf)
label.delete(ldelta1 )
15m EMA 50 CloudDescription:
The 15m EMA 50 Cloud is a simple but powerful tool designed for scalpers and intraday traders who hunt for low timeframe patterns while staying anchored to higher timeframe trend context.
This indicator displays the 50-period EMA and its volatility cloud from the 15-minute chart on any timeframe - including 1m, 3m, or 5m. The cloud adapts dynamically and remains visible even when you zoom into lower timeframes, helping you instantly see whether price is trading above, below or within the 15m trend structure.
Features:
* Plots the 15-minute 50 EMA Cloud on any chart, regardless of your selected timeframe.
* Cloud width is based on 15m price volatility (standard deviation), inspired by the popular "Traders Reality" indicator.
* Option to enable or hide the EMA line for a cleaner look.
* Customizable colors for the cloud fill, border, and EMA line.
* Works with all markets and all symbols.
How to Use:
* Perfect for scalpers who want to spot micro patterns (e.g., on 1m or 3m charts) while keeping
the 15m EMA cloud as a visual "road map".
* Use the cloud as a dynamic support/resistance zone or to define higher timeframe trend bias.
* Combine with your favorite price action or orderflow setups for multi-timeframe confluence.
Settings:
* Toggle EMA line ON/OFF.
* Adjust cloud and border colors for your chart style.
For educational purposes only. This indicator does not provide financial advice or signals. Always use proper risk management.
⚠️ Important Notice
This tool is provided for educational and informational purposes only . It is designed to assist in technical analysis learning and visual chart study.
It is not intended to be used as financial advice, a buy/sell signal, or any form of investment recommendation .
By using this indicator, you acknowledge that all actions you take are your own and you assume full responsibility for any decisions made.
LANZ Strategy 5.0🔷 LANZ Strategy 5.0 — Intraday BUY Signals, Dynamic Lot Size per Account, Real-Time Dashboard and Smart Execution
LANZ Strategy 5.0 is a powerful intraday tool designed for traders who need a visual-first, data-backed BUY system, enhanced with risk-aware lot size calculation and a real-time performance dashboard. This indicator intelligently detects strong momentum setups and provides visual and statistical clarity throughout the session.
📌 This is an indicator, not a strategy — It does not place trades automatically but provides precise conditions, alerts, and visual guides to support execution.
🧠 Core Logic & Features
BUY Entry Conditions (Signal Engine)
A BUY signal is triggered when:
The current price is above the EMA200 (trend filter)
The last 3 candles are bullish (candle body close > open)
You are within the defined session window (NY time)
When all conditions are met and you haven’t reached the daily trade limit, a signal appears on the chart and an optional alert is triggered.
Operational Hours Filter (NY Time)
You define:
Start time (e.g., 01:15 NY)
End time (e.g., 16:00 NY)
The system only evaluates and executes signals within this period. If a BUY setup occurs outside the window, it’s ignored. The chart is also highlighted with a transparent teal background to visually show active trading hours.
Lot Size Panel with Per-Account Risk Management
Designed for traders managing multiple accounts or capital sources. You can enable up to 5 accounts, each with:
Its own capital
Its own risk percentage per trade
The system uses the defined SL in pips, plus the instrument’s pip value, to calculate the lot size per account. All values are shown in a dedicated panel at the bottom-right, automatically updating with each new trade.
The emojis (🐣🦊🦁🐲🐳) distinguish each account visually.
Trade Visualization with Customizable Lines
When a signal is triggered:
An Entry Point (EP) line is drawn at the candle’s close.
A Stop Loss (SL) line is placed X pips below the entry.
A Take Profit (TP) line is placed Y pips above the entry.
All three lines are fully customizable in style, color, and thickness. You define how many bars the lines should extend.
Outcome Tracking & Real-Time Dashboard
Each trade outcome is measured:
SL hit = –1.00%
TP hit = +3.00%
Manual close = calculated dynamically based on price at close time
Each result is labeled on the chart near its level, and stored.
The top-right dashboard updates in real time:
✅ Number of trades
📈 Cumulative % gain/loss of the day (color-coded)
Alerts You Can Trust:
You’ll get a Buy Alert when a valid signal is formed
You’ll get a Trade Executed Alert when the visual operation is plotted
You’ll get a SL/TP Hit Alert with price and result
You’ll get a Manual Close Alert if the configured time is reached and the trade is still active
⚙️ Step-by-Step Execution Flow
At every bar, the system checks:
Are we within the session time window?
Is price above EMA?
Are the last 3 candles bullish?
✅ If yes:
A BUY signal is plotted
Entry/SL/TP lines are drawn
Lot sizes are calculated and displayed
Trade is added to the daily count
🕐 At the configured Manual Close time (e.g., 16:00 NY):
If the trade is still open, it's closed
A label is added with the exact result in %
💡 Ideal For:
Intraday traders who operate within fixed time sessions
Traders managing multiple accounts or capital pools
Anyone who wants full visual clarity of every decision point
Traders who appreciate dynamic lot size calculation and clean execution tracking
👨💻 Credits:
💡 Developed by: LANZ
🧠 Strategy concept & execution model: LANZ
🧪 Tested on: 1H charts with visual-only execution
📈 Designed for: Clarity, adaptability, and full intraday control
Multi MA Cross SignalsSummary
This script provides a comprehensive view of key medium and long-term moving averages, designed to identify significant trend changes and shifts in market momentum. It plots four essential moving averages for price and generates clear, actionable signals based on both price and volume crossovers.
The primary goal is to visualize the well-known "Golden Cross" and "Death Cross" signals using a 50-day EMA and 200-day SMA, while also incorporating volume analysis to confirm the strength of a potential move.
Features
Four Key Moving Averages:
50-day Price EMA (Yellow): Tracks short-to-medium term trend momentum.
50-day Price SMA (Green): Provides a baseline for the 50-day period.
100-day Price SMA (Blue): Offers a medium-term trend perspective.
200-day Price SMA (Orange): Represents the long-term trend benchmark.
Price Crossover Signals (Trend Change):
B1 (Buy Signal): A "B1" label appears below the price bar when the 50-day Price EMA crosses above the 200-day Price SMA. This is a classic bullish signal, often called a "Golden Cross," indicating a potential shift to a long-term uptrend.
D1 (Sell Signal): A "D1" label appears above the price bar when the 50-day Price EMA crosses below the 200-day Price SMA. This is a classic bearish signal, often called a "Death Cross," suggesting a potential shift to a long-term downtrend.
Volume Crossover Signals (Momentum Confirmation):
B2 (Volume Spike Signal): A "B2" label appears below the price bar when the 50-day Volume EMA crosses above the 100-day Volume SMA, indicating a significant increase in trading activity that can support a new trend.
D2 (Volume Drop Signal): A "D2" label appears above the price bar when the 50-day Volume EMA crosses below the 100-day Volume SMA, suggesting waning interest or momentum.
How to Use
Identify Trend Direction: Use the B1 (bullish) and D1 (bearish) signals as primary indicators for potential long-term trend reversals.
Confirm with Volume: Look for a B2 signal to appear shortly after a B1 signal to confirm that the new uptrend is supported by rising volume. Conversely, a D2 signal can add conviction to a D1 bearish cross.
General Analysis: Use the four moving averages as dynamic levels of support and resistance to complement your trading strategy.
MA Deviation
This indicator visualizes the percentage deviation between up to 3 configurable moving averages (MA), helping traders assess trend momentum and potential overextension.
✅ Key Features
Supports multiple MA types: Choose from SMA, EMA, WMA, RMA, VWMA, and HMA.
Set up to 3 custom MAs with different periods.
Plots the deviation (%) between each pair of selected MAs.
Background color highlights extreme deviations (green = strong positive deviation, red = strong negative deviation).
Data Window flag (1 or 0) shows whether background highlight is active.
⚠️ Notes
Deviation percentages are not predictive, but useful for identifying trend strength or market overheating.
Especially useful for trend analysis, not for exact entry signals.
Even if not all lines are shown, the background color may still appear based on the enabled MA comparisons.
このインジケーターは、3本の移動平均線(MA)の乖離率を視覚化し、相場の過熱感やトレンドの強さを判定するためのツールです。
✅ 主な機能
複数の移動平均タイプに対応:SMA, EMA, WMA, RMA, VWMA, HMAから選択可能。
最大3本の移動平均を自由に設定可能。
それぞれのMA間の乖離率(%)をチャートにプロット。
指定した閾値を超えた時に背景色を表示(緑=乖離が正方向に大きい、赤=負方向に大きい)。
データウィンドウ上で「背景表示フラグ」も確認可能(サインが出ているかどうかが数値で確認できます)。
⚠️ 注意事項
乖離率は過去の価格と比較したものであり、将来の価格を保証するものではありません。
短期トレードよりも、トレンドの強弱や過熱感の把握に適しています。
複数のMAを使用しない場合でも、背景色は他の設定されたMAペアで判定されることにご注意ください。
MudahCuan Indicator V3 With Alarm - Fix Entry Candle🟢 **MudahCuan™ – Precision Entry System for Gold (XAUUSD) M15 & H1**
MudahCuan™ is a purpose-built indicator designed to simplify decision-making for Gold (XAUUSD) traders who operate on the 15-minute and 1-hour timeframes. If you've been struggling with late entries, noisy setups, or over-complicated strategies, this tool is here to offer a cleaner, more disciplined approach.
Unlike generic indicators that claim to work "on any market and any timeframe," MudahCuan™ is calibrated specifically for the unique behavior and volatility of Gold — with precise logic that aligns with how price actually moves on M15 and H1.
No more relying on feelings or cluttered confirmations. Every signal appears only when the internal rules are met with full alignment — helping you enter trades that are not only technically valid, but also make sense visually.
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🔍 **What Makes MudahCuan™ Different**
✅ **Specialized for Gold (XAUUSD)**
Carefully tuned for M15 and H1 timeframes, capturing the rhythm and structure of Gold like no generic tool can.
🎯 **Smart Entry Logic**
Buy and Sell labels are only triggered when specific multi-candle conditions are met. This reduces noise and avoids weak setups that lead to unnecessary losses.
📊 **Visual Simplicity**
Clean overlay, minimal distractions. Just direct signals placed on the chart, with no confusing layers or unnecessary indicators.
🔁 **Auto-Validated Setups**
You won’t have to interpret — the logic does the filtering for you. If the signal appears, the setup meets all conditions. If not, you stay out.
⚖️ **Ideal for Reversal and Continuation Entries**
Helps you spot opportunities at key turning points, as well as strong continuations — without forcing trades.
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💡 **Who Is This For?**
* Gold traders who want to master M15 & H1 entries with confidence
* Intraday traders who value structure over speculation
* Anyone tired of false breakouts, lagging tools, or messy chart setups
* Traders who want to act based on logic — not hope
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📌 **Important Note**
MudahCuan™ is **not designed for multi-market use**. It works best exclusively on XAUUSD (Gold), especially on **M15** and **H1**. Using it outside those settings may reduce accuracy and invalidate the internal logic.
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✅ **Trade Gold with Confidence — Not Guesswork**
MudahCuan™ helps you cut through the noise, avoid weak entries, and trade with structured clarity — one candle at a time.
MudahCuan™ removes the emotional drag of guessing, overthinking, or chasing trades. Instead, it gives you a clear visual cue to act when the market aligns — nothing more, nothing less.
If you're using this indicator for premium, I'll show you how to use it to increase your win rate and maximize your profits. For example, if a signal is incorrect, what should you do to avoid a loss at that moment?
This is all presented in video format to make it easier to use this indicator and maximize your profits.
Ready to turn confusion into confidence on XAUUSD?
TKC-VCBTKC Enhanced Volume Colored Bars (VCB)
🎯 Overview
The TKC Enhanced Volume Colored Bars indicator is a comprehensive volume analysis tool that provides instant visual feedback about market activity through intelligent bar coloring. This advanced indicator goes beyond basic volume analysis by incorporating momentum, multi-timeframe confirmation, and sophisticated alert systems to help traders identify high-probability trading opportunities.
🔥 Key Features
Smart Volume Classification
High Volume Bars: Identify significant market moves with volume above customizable thresholds
Medium Volume Bars: Track normal market activity with standard volume levels
Low Volume Bars: Spot potential consolidation or lack of interest
Dynamic Thresholds: Automatically adjusts based on volume moving averages
Advanced Volume Analytics
Volume Momentum: Track acceleration and deceleration in volume flow
Volume Exhaustion Detection: Identify when market participation is declining
Volume Surge Alerts: Catch explosive volume spikes as they happen
Volume Percentile Ranking: Understand current volume in statistical context
Multi-Timeframe Analysis
Higher Timeframe Confirmation: Validate signals with broader market context
Customizable Timeframes: Choose any higher timeframe for confirmation
HTF Volume Factor: Adjust sensitivity for multi-timeframe validation
VWAP Integration
Dynamic VWAP: Real-time Volume Weighted Average Price calculation
VWAP Breakout Alerts: Get notified when price breaks through VWAP with volume
Institutional Level Tracking: Follow where big money is positioned
Professional Alert System
🚀 High Volume Breakouts: Immediate alerts for significant moves
⚡ Volume Surge Detection: Catch explosive volume increases
😴 Volume Exhaustion Warnings: Know when participation is declining
🔄 Momentum Reversals: Identify volume momentum shifts
📈 VWAP Breakouts: Track institutional level breaks
⚠️ Volume Divergences: Spot price/volume disconnects
🎨 Visual Features
Intelligent Bar Coloring
6 Distinct Colors: Separate colors for up/down bars at each volume level
Doji Recognition: Special coloring for indecision bars
High Contrast Design: Easy to read in all market conditions
Customizable Colors: Match your trading style and theme
Comprehensive Legend
Real-time Volume Strength: See current bar volume as percentage of average
Volume Momentum Indicators: Track momentum and acceleration
HTF Confirmation Status: Multi-timeframe validation display
Volume Statistics: Percentile ranking and exhaustion status
Customizable Position: Place legend anywhere on your chart
Enhanced Visualizations
Volume Zones: Background highlighting for high-volume areas
Momentum Signals: Triangle markers for volume momentum shifts
VWAP Line: Clear institutional level visualization
Volume Average Line: Reference line for volume comparison
📊 Technical Specifications
Volume Calculations
Adaptive Moving Average: Customizable length (1-200 periods)
Standard Deviation: Statistical volume analysis
Momentum Analysis: Multi-period momentum calculation
Surge Detection: Configurable surge multipliers
Multi-Timeframe Support
Any Higher Timeframe: 5m, 15m, 1H, 4H, 1D, etc.
Proper Security Calls: No repainting issues
Lookahead Protection: Ensures historical accuracy
Performance Optimized
Efficient Calculations: Minimal CPU usage
Clean Code Structure: Well-organized and maintainable
Memory Friendly: Optimized for long-term use
🚀 Use Cases
Day Trading
Identify high-volume breakouts in real-time
Spot volume exhaustion before reversals
Track intraday momentum shifts
Validate entries with multi-timeframe analysis
Swing Trading
Confirm breakouts with volume analysis
Identify accumulation/distribution phases
Track institutional activity via VWAP
Monitor volume divergences for reversal signals
Scalping
Quick volume momentum identification
Instant surge detection for rapid entries
Real-time volume strength assessment
Fast visual confirmation of market interest
Position Trading
Long-term volume trend analysis
Major breakout confirmation
Institutional level tracking
Market phase identification
⚙️ Configuration Options
Volume Analysis Settings
Volume Average Length (1-200)
High Volume Threshold (1.0-5.0x)
Low Volume Threshold (0.1-1.0x)
Volume Momentum Length (2-20)
Volume Surge Threshold (1.5-5.0x)
Volume Exhaustion Bars (2-10)
Multi-Timeframe Settings
Enable/Disable MTF Analysis
Higher Timeframe Selection
HTF Volume Confirmation Factor (0.5-3.0x)
Display Customization
Legend Position (4 options)
Color Customization (12 colors)
Show/Hide Various Elements
Volume Line Display
Momentum Signal Display
Alert Configuration
Enhanced Alert System
Multiple Alert Types
Customizable Messages
Frequency Control
🎯 Getting Started
Add to Chart: Apply the indicator to any timeframe
Customize Settings: Adjust volume thresholds to match your trading style
Set Up Alerts: Configure alerts for your preferred signals
Position Legend: Place the legend where it's most convenient
Start Trading: Use the visual cues to identify high-probability setups
📈 Best Practices
Combine with Price Action: Use volume analysis to confirm price patterns
Multi-Timeframe Validation: Always check higher timeframe confirmation
Volume Surge Follow-up: Watch for continuation after volume spikes
Exhaustion Warnings: Be cautious when volume exhaustion is detected
VWAP Respect: Pay attention to price behavior around VWAP levels
🔧 Technical Requirements
Trading View Pine Script v5
Any Market/Timeframe
Real-time Data Recommended
Standard Trading View Account
📝 Notes
This indicator works on all markets and timeframes
Volume data quality depends on your data provider
Best results with liquid markets and reliable volume data
Regular updates and improvements based on user feedback
TKC-BMD GatorTKC-BMD Gator Indicator Description
Overview
The TKC-BMD Gator is an advanced Trading View indicator inspired by the wisdom of trading mentor Dennis Sennett and his brilliant analogy of understanding market movements through the lens of a family dynamics at a park.
Dennis Sennett's Family Analogy
Dennis Sennett, the inspiration behind this indicator, taught market analysis through a powerful family metaphor that makes the complex Alligator indicator intuitive to understand:
The Family of Four at the Park:
Baby (Price Candle): The most energetic and unpredictable, darting around with instant reactions to everything
Older Sibling (Lips - Green Line): Quick to follow the baby but with slightly more restraint and direction
Mom (Teeth - Red Line): The watchful guardian who moves with measured purpose, keeping an eye on the children
Dad (Jaw - Blue Line): The steady patriarch who sets the overall direction and pace for the entire family
Just as a family moves together through a park - sometimes scattered during exploration, sometimes tightly grouped during rest, and sometimes moving in formation when heading somewhere important - the market exhibits these same behavioral patterns through the three moving averages.
Technical Foundation
Built upon Bill Williams' Alligator indicator, this enhanced version uses three Smoothed Moving Averages (SMMA):
Core Components
Jaw (Blue Line): 13-period SMMA, offset by 8 bars - represents the long-term trend
Teeth (Red Line): 8-period SMMA, offset by 5 bars - represents the medium-term trend
Lips (Green Line): 5-period SMMA, offset by 3 bars - represents the short-term trend
Market States (The Family Behaviors)
Sleeping (Gray Background): When all three lines are close together - the family is resting, no trading opportunities
Awakening (Yellow Background): Lines begin to separate with proper alignment - the family is getting ready to move
Eating Up (Green Background): Strong upward trend with expanding lines - the family is moving together upward
Eating Down (Red Background): Strong downward trend with expanding lines - the family is moving together downward
Enhanced Features
Multi-Timeframe Analysis
Higher Timeframe Filter: Confirms signals align with larger trend (default: 4-hour)
Volatility Filter: Prevents trading in choppy, low-volatility conditions
Technical Confirmations
Fractal Support: Identifies key support/resistance levels
RSI Filter: Ensures momentum alignment (default: 14-period)
Stochastic Filter: Confirms oversold/overbought conditions
MACD Filter: Validates trend direction and strength
Risk Management
Pyramid Trading: Optional scaling into positions during strong trends
Position Tracking: Monitors multiple entries and exits
Volatility-Based Stops: Adapts to market conditions
Visual Enhancements
Background Coloring: Instantly identify market state
Signal Arrows: Clear buy/sell entry points
Fractal Markers: Support and resistance levels
Statistics Table: Real-time indicator status dashboard
Signal Generation
The indicator generates high-probability signals by requiring:
Base Alligator Signal: Proper line alignment and separation
Fractal Confirmation: Recent fractal support for direction
Momentum Alignment: RSI and Stochastic confirmation
Trend Validation: MACD and higher timeframe agreement
Market Condition: Sufficient volatility for meaningful moves
Trading Philosophy
Following Dennis Sennett's teaching, this indicator emphasizes:
Patience: Wait for the family to align before acting
Confirmation: Multiple indicators must agree
Risk Management: Protect capital during uncertain times
Trend Following: Move with the family, not against it
Alerts and Automation
Comprehensive alert system includes:
Enhanced buy/sell signals
Pyramid entry opportunities
Market state changes
Risk management notifications
Customization Options
Fully customizable appearance including:
Line colors and styles
Background transparency
Signal arrow colors
Statistics table position and styling
Filter sensitivity settings
Usage Recommendations
Use on trending markets for best results
Combine with proper risk management
Wait for confluence of multiple signals
Respect the "sleeping" periods
Follow the family's lead, not your emotions
This indicator transforms Dennis Sennett's intuitive family analogy into a sophisticated, multi-confirmation trading system that helps traders identify high-probability opportunities while managing risk effectively.
TKC-Camarilla📌 TKC-Camarilla – Advanced Intraday Support/Resistance Levels
TKC-Camarilla is a powerful intraday tool based on the Camarilla Equation, designed to help traders identify key support and resistance zones, breakout levels, and mean-reversion opportunities. This version is optimized for both discretionary and systematic trading.
🔑 Features:
Nine core Camarilla levels: H4, H3, H2, H1, Pivot, L1, L2, L3, L4
Strategic level labels:
H4 – Long Breakout
H3 – Long
Pivot – Mean Reversion Anchor
L3 – Short
L4 – Short Breakout
Daily level calculation (based on previous day’s High, Low, Close)
Custom colors and visibility options
Inline price and label descriptions
Breakout alerts for H4/L4 and H3/L3
Info table toggle for at-a-glance level display
Support for custom line styles, label sizes, and extensions
🎯 Use Cases:
Breakout Trading: Enter long above H4 or short below L4
Reversion Setups: Trade back to Pivot from H3/L3
Scalping: Use H1/L1 for micro-trend turns
Bias Detection: Daily bias based on proximity to H3/L3
📈 How It Works:
Levels are drawn based on the previous day’s range, and automatically update at each new daily candle. Labels are placed above the lines with contextual cues and real-time pricing.
Advanced Range Theory - ART📊 Advanced Range Theory (ART): The Institutional Blueprint
Stop drawing lines. Start reading the blueprint of the market. Advanced Range Theory (ART) is not another support and resistance indicator; it is a military-grade market structure engine designed to decode the language of institutional capital. It operates on a single, powerful premise: markets move in phases of consolidation and expansion, and the key to anticipation lies in understanding the complete lifecycle of these phases.
ART provides a living, breathing map of the battlefield, identifying institutional accumulation zones and tracking them with unparalleled precision from their inception as "Pending" ranges to their ultimate classification after a breakout. This is your X-ray into the market's skeletal structure.
🔬 THEORETICAL FRAMEWORK: THE ARCHITECTURE OF PRICE ACTION
ART is built on a multi-layered system of logic that moves beyond static levels. It treats ranges as dynamic entities with a narrative—a beginning, a middle, and an end. The core of the system is the dynamic classification engine, which analyzes not just the range, but the character of the price action that resolves it.
1. The Range Lifecycle: From Accumulation to Classification
This is the revolutionary heart of ART. A range's true identity is only revealed by how it is broken.
Phase 1: PENDING (Yellow): A new range is identified based on a period of price consolidation (a "parent" candle followed by a minimum number of "inside" candles). At this stage, it is a neutral zone of potential energy—an area where institutions are likely building positions. It is a question the market has not yet answered.
Phase 2: MITIGATION & CLASSIFICATION: When price breaks out and reaches a calculated extension level, the range is considered "mitigated." At this exact moment, ART analyzes the breakout's DNA to classify the range's true intent:
TYPE 1 - BREAKOUT (Blue): Characterized by a strong, impulsive move with confirming volume. This is a high-conviction breakout, signaling aggressive institutional participation and the likely start of a new trend. It is a statement of intent.
TYPE 2 - REVERSAL (Orange): Occurs when price attempts to break one way but is aggressively rejected, reversing and breaking out the other side. This signals absorption and a "failed auction," often marking significant market turning points.
TYPE 3 - PIVOT (Green): A more balanced breakout, lacking the explosive momentum of a Type 1. This often represents a resolution after a period of indecision or a pivot within a larger trading range.
2. The Hierarchical Map: Source & S/R Levels
ART doesn't just draw boxes; it builds a genealogical map of market structure.
SOURCE LEVEL (Thick Gold Line): This is the "genesis" point—the most recently mitigated range. It acts as the primary point of origin for the current market swing and serves as a critical level for determining overall bias. Price action above the Source is generally bullish; below is bearish.
S/R LEVELS (Cyan Lines): When a range is mitigated, the price level where it broke becomes a key Support/Resistance zone for the future. ART tracks the two most recent S/R levels, as these often act as powerful magnets or rejection points for price.
3. The Multi-Factor Validation Engine
To eliminate noise and focus only on institutionally significant ranges, every potential range must pass a rigorous quality control check:
Time-Based Consolidation: Requires a minimum number of consecutive inside candles (minInsideCandles), ensuring a true period of balance.
Volatility-Based Significance: The range's size must be greater than a multiple of the Average True Range (minRangeSize), filtering out insignificant micro-consolidations.
Participation Confirmation: The parent candle of the range is checked against average volume to ensure there was meaningful activity during its formation.
⚙️ THE COMMAND CONSOLE: CONFIGURING YOUR ART ENGINE
Every input is designed to give you granular control over the detection engine, allowing you to tune ART to any market or timeframe with precision. Each tooltip in the script provides a deep dive, but here is a summary of the core controls.
🎯 ART Detection Engine
Minimum Inside Candles: The soul of the detection algorithm. It defines the minimum number of bars that must be contained within a single "parent" candle to qualify as a range. Higher values (3-4) find major, significant consolidation zones. Lower values (1-2) are more sensitive and will identify shorter-term accumulation patterns.
Extension Multiplier & Fibonacci Extension: These control the profit target projections. The Extension Multiplier uses a simple measured move (e.g., 1.0 = a 1:1 projection of the range's height). The Fibonacci Extension uses the golden ratio (1.618) for harmonically-derived targets.
Mitigation Method (Cross vs. Close): Determines how a breakout is confirmed. Cross is more responsive, triggering as soon as price touches the extension. Close is more conservative, requiring a full candle to close beyond the level, which helps filter out fake-outs from wicks.
Min Range Size (ATR): A crucial noise filter. It ensures that ART ignores tiny, insignificant ranges by requiring a range's height to be a certain multiple of the current market volatility (ATR).
📊 Display & Visual Configuration
These settings give you full control over the visual interface. You can toggle every single element—from the Webb Scanner to the S/R Levels—to create a clean or a comprehensive view. Choose a color theme that suits your charting environment or define a fully custom palette.
🕸️ Webb Analysis Scanner
This is a unique real-time flow analysis tool. It draws dynamic, animated lines from the current price to recent historical points. This visualization helps reveal hidden "tendrils" of momentum and short-term support/resistance that are not immediately obvious, acting as a "sonar" for immediate price flow.
📊 THE ANALYTICS HUB: YOUR DASHBOARD DECODED
The dashboard provides a real-time, at-a-glance intelligence briefing on the current state of market structure as seen by the ART engine.
RANGE METRICS: This section is a "census" of the market's structure. It tells you the total number of ranges identified, how many are still Pending (awaiting a breakout), how many are Unmitigated (active but not yet broken), and how many have been Mitigated (classified and complete).
TYPE BREAKDOWN: This is a powerful gauge of market character. A high count of Type 1 (Breakout) ranges suggests a strong, trending environment. A rising number of Type 2 (Reversal) ranges can signal market exhaustion and potential trend changes. A dominant Type 3 (Pivot) count indicates a balanced, rotational market.
KEY GUIDE: The Large dashboard includes a full legend, so you never have to guess what a line or color represents. It's your built-in user manual.
🎨 DECODING THE BLUEPRINT: A VISUAL INTERPRETATION GUIDE
Every line and color in ART is designed for instant, intuitive understanding.
The Range Lines:
Yellow Lines: A Pending range. This is an active zone of accumulation. Pay close attention.
Colored Lines (Blue/Orange/Green): An unmitigated, classified range. The color tells you its breakout character.
Dotted Lines: A Mitigated range. Its story has been told. These historical levels can still act as support or resistance.
The Identification Zones: These colored boxes appear at a range's origin point after it has been classified. They are the "birth certificate" of the range, permanently marking its type (Breakout, Reversal, or Pivot) and providing an immediate visual history of market behavior.
The Hierarchical Lines:
Thick Gold Line (Source): The most important line on your chart. It is the anchor for your bias.
Cyan Lines (S/R): High-probability decision points. Expect reactions here.
Purple Dotted Lines (Extensions): Logical, calculated profit targets for breaking ranges.
🔧 THE ARCHITECT'S VISION: THE DEVELOPMENT JOURNEY
ART was born from a deep frustration with the static and subjective nature of traditional market structure analysis. Drawing lines by hand is inconsistent, and most indicators are reactive, only confirming what has already happened. The goal was to create a proactive, objective, and dynamic framework that could think about the market in terms of phases and lifecycles.
The breakthrough came from a simple shift in perspective: a range's true character isn't defined when it forms, but by how it resolves. This led to the development of the "post-breakout classification engine," which waits for the market to show its hand before assigning a definitive type. The Webb Scanner was inspired by the desire to visualize the unseen, to create a tool that could feel the immediate "pull" and "push" of price flow. The result is not just an indicator; it is a new language for interpreting price action, built on a foundation of logic, clarity, and precision.
⚠️ RISK DISCLAIMER & BEST PRACTICES
Advanced Range Theory is a professional-grade analytical tool designed to enhance a trader's decision-making process. It does not provide direct buy or sell signals. The levels and classifications it generates are based on historical price action and mathematical probabilities. All trading involves substantial risk, and past performance is not indicative of future results. Always use this tool in conjunction with a robust risk management plan.
"I fear not the man who has practiced 10,000 kicks once, but I fear the man who has practiced one kick 10,000 times."
— Dskyz, Trade with insight. Trade with anticipation.
— Bruce Lee
MTF MinichartsHello friends,
I'm excited to share another unique tool with you — the MTF Minicharts indicator. This script lets you display multiple mini candlestick charts directly on your main chart, using data from different tickers and timeframes at the same time. It's designed to give you a clear multi-timeframe, multi-asset perspective — all in one place.
There are no complicated setups: just select your tickers, pick your timeframes, and the minicharts are ready to go. You can even apply one timeframe to all tickers with a single switch — making your workflow simple and efficient.
🛠️ How It Works
The script pulls price data for up to six different tickers and timeframes and displays them as compact candle charts inside your main chart window. You can choose to set each minichart's timeframe individually, or apply one timeframe to all tickers instantly. Fully customizable layout options let you arrange your minicharts in flexible grids — from 1×1 up to 3×2 and beyond. A total of 13 grid layouts are available, so you can adapt the view exactly to your screen and style. Each minichart can display 2 to 21 candles , giving you just the right balance between detail and space. Candlestick styling, spacing, last price lines, and ticker labels are all adjustable, so you can fine-tune your view to your exact needs.
🔥 Key Features
Pine Script v6 — Uses the latest version for maximum performance
Multi-Timeframe, Multi-Ticker — Combine up to six charts, mixing tickers and timeframes as you wish
Single-Timeframe Mode — Apply one timeframe to all tickers with a single click
13 Grid Layouts — Choose from multiple layout options for clean positioning on your main chart
Custom Candles per Chart — Display anywhere from 2 to 21 candles in each minichart
Overlay or Subpanel Mode — Choose whether your minicharts overlay the price or sit in a subpanel
Custom Candles Styling — Adjust body width, wick width, and colors to match your style
Last Price Lines — Optional last price marker for each minichart, with style and width controls
Clear Ticker Labels — Show performance metrics in various formats
Optimized Performance — Efficient rendering for smooth operation, even with multiple charts
Universal Compatibility — Works flawlessly across all assets, timeframes, and market conditions
📸 Visual Examples
Subpanel mode with 1x6 layout
Combination of two instances gives you a mini screener
If you'd like access or have any questions, feel free to reach out to me directly via DM.
👋 Good luck and happy trading!
MTF Trend Table - Manual InputMTF Trend Table - Manual Input
Description:
This indicator displays a simple and clear multi-timeframe (MTF) trend table in the upper right corner of your chart. You can manually set the current trend direction (Up, Down, or Neutral) for each timeframe: Monthly, Weekly, Daily, 4h, 1h, and 15min. The table shows the status of each timeframe with colored backgrounds—green for Up, red for Down, and gray for Neutral—making it easy to monitor trend alignment across different timeframes at a glance.
Features:
Manual selection of trend direction for each timeframe.
Color-coded status: green (Up), red (Down), gray (Neutral).
Quickly visualize trend alignment across Monthly, Weekly, Daily, 4h, 1h, and 15min.
Table is positioned in the top right corner of the chart for easy reference.
How to use:
Open the indicator settings and select the trend direction for each timeframe based on your own analysis. Use this tool as a visual aid to track and confirm trend bias in your trading system.
TKC - CloudTKC - Cloud | Advanced Ichimoku System with Alerts & Volume Filter
TKC - Cloud is a next-level implementation of the Ichimoku Kinko Hyo indicator, enhanced with advanced signal detection, volume-based filtering, and real-time alerts. Ideal for traders looking to identify trends, breakouts, and reversals with precision.
✅ Core Features
✔ Full Ichimoku Suite: Tenkan-sen (Conversion), Kijun-sen (Base), Chikou Span (Lagging), Kumo Cloud (Senkou A & B).
✔ Customizable Inputs: Adjust Tenkan, Kijun, Cloud lengths & displacement for any timeframe or market.
✔ Dynamic Cloud Visualization: Color-coded bullish & bearish Kumo zones for trend clarity.
✔ Volume-Based Signal Filter: Trigger alerts only when volume is rising for higher accuracy.
✔ Advanced Signal Markers & Alerts:
Tenkan/Kijun Cross (Bullish/Bearish)
Price Breakouts Above/Below Cloud
Kumo Twist (Trend Shift)
Chikou Span Positioning
Strong Consensus Signals when all Ichimoku conditions align
✅ How It Helps Traders
Identify strong trends early and filter out false signals.
Time your entries/exits using proven Ichimoku logic with added volume confirmation.
Get instant alerts on key signals for fast decision-making.
✅ Works on all markets & timeframes: Crypto, Forex, Stocks, Futures.
✅ Designed for swing trading, scalping, and trend following strategies.
🔥 Add TKC - Cloud to your chart and take your Ichimoku trading to the next level!
Liquidity Swings [Nix]Liquidity Swings Indicator!
It marks recent swing highs and lows on the chart using lines and labels.
Another great feature is that it tracks whether those swing levels are SWEPT (price crosses them again) and either:
Removes swept levels, or
Fades them to indicate they’ve been taken.
You can customize:
Number of swings shown.
Colors, styles, and visibility of lines/labels.
Whether to show highs, lows, or both.
Useful for liquidity analysis.
Usually when these special swings are swept, you can consider moving stops to BE. This is because there should be enough stop losses at the swing points to liquidate others and give more fuel to your trade direction!
Drunken Bird Inspiration for the support and resistance plateau lines came from AnotherDAPTrader.
The TSL Drunken Bird is an enhanced technical analysis tool for swing traders on TradingView, based on the original Accurate Swing Trading System by ceyhun. It generates buy and sell signals when price crosses a dynamic Trailing Stop Loss (TSL) level derived from recent highs and lows. This version introduces plateau detection for support and resistance lines, dynamic label expiration to reduce clutter, customizable line styles and decay, and improved HTF confluence for trend-aligned trading. Visual elements include signal labels, horizontal lines, a colored TSL plot, and optional bar/background coloring. Alerts are available for buy/sell crossovers, making it suitable for assets like NASDAQ E-mini futures, stocks, forex, and more.
This script adapts and expands upon ceyhun's original codetradingview.com, adding significant features such as tolerance-based plateau identification for support/resistance, label management with timeframe-aware expiration (~7 days), cross-count decay for lines, and expanded customization options. Inspiration for the support and resistance plateau lines came from AnotherDAPTrader. Released under the Mozilla Public License 2.0.Key
Features
Swing Signals: "BUY" and "SELL" labels on price crossovers/crossunders of the TSL, with a user-defined lookback (default 3).
HTF Confluence: Filters signals based on higher timeframe trend (e.g., "EXIT LONG" instead of "SELL" if HTF is bullish); toggleable.
HTF Options: Select from 5m, 15m, 30m, 1h, 4h, Daily, Weekly, or Monthly.
Plateau Detection: Identifies flat highs/lows (with tolerance) for resistance/support lines, plotted as dotted/solid/dashed with customizable colors, thickness, and decay after crosses (default 2).
Horizontal Lines: Green (buy) and red (sell) lines at signal closes, extending right until crossed; toggle between short (no extension limit) or long visualization.
TSL Visualization: Colored line (green if close >= TSL, red otherwise) for dynamic levels.
Bar/Background Coloring: Optional green/red coloring based on price vs. TSL.
Label Expiration: All labels (signals and plateaus) auto-delete after ~7 days (timeframe-adjusted, default 1008 bars).
Alerts: Triggers for "Buy Signal" and "Sell Signal" on crossovers.
How to Use
Add to Chart: Paste the Pine Script into TradingView's editor and add to your chart.
Configure Settings:
Swing: Lookback for highs/lows (min 1).
Plateau Tolerance: Flatness allowance (default 0.0).
Use HTF Confluence: Enable for trend filtering.
Higher Time Frame: Choose timeframe string.
Barcolor/Bgcolor: Toggle coloring.
Show Plateau Lines: Enable support/resistance.
Line Styles/Colors/Thickness: Customize buy/sell and plateau visuals.
Plateau Line Decay: Crosses before stopping extension.
Label Expiration: Bars for auto-deletion (~7 days).
Interpret Elements:
Labels: "BUY"/"SELL" (green/red), "EXIT SHORT"/"EXIT LONG" (orange) on signals; "Res"/"Sup" on plateaus.
Lines: Extend right until conditions met (cross for buy/sell, decay threshold for plateaus).
TSL Plot: Monitors trend shifts.
Set Alerts: Use "Buy Signal" or "Sell Signal" conditions for notifications.
Testing: Apply to volatile assets; adjust Swing for signal frequency, tolerance for plateau sensitivity.
Ideal Use Cases
Swing trading on 1m–1h charts for entries/exits aligned with HTF trends.
Identifying support/resistance in ranging markets via plateaus.
Scalping with short lookbacks or longer swings with HTF enabled.
Manual or alert-based trading on futures, stocks, or forex.
Why It's Valuable
This indicator builds on ceyhun's core TSL logic with practical enhancements for modern trading: clutter reduction via expiration/decay, visual customization, and plateau-based S/R for better context. It promotes disciplined, trend-aware decisions while maintaining simplicity.
Note: Optimized for any timeframe/asset; test in demo. Not financial advice—use with risk management.