Global Sessions with Trend & Liquidity Features:
-Session ranges with customizable lines & colors
-Opening range markers and optional background shading
-Automatic trend detection per session (Bullish / Bearish / Neutral)
-Indicators when highs/lows are broken
-Clean visual design with toggles for minimal or detailed display
This Pine Script code is designed to help traders visualize and analyze different market sessions. It's a tool that displays the trading hours for the Asian, London, and New York sessions right on the chart.
The main purpose is to show when these key markets are open and to highlight their price ranges. It also includes features to track the trend within each session and to identify "liquidity sweeps" or moments when the price breaks the high or low of a previous session.
In simple terms, it helps a trader see what the market is doing and where the price is likely to go, all based on the major global trading times. It's especially useful for day traders who want to align their strategies with the activity of specific markets.
P.S. Apologies to users not in the EST timezone! This version is hardcoded to Eastern Standard Time, and I'm not currently sure how to automatically adjust it for different timezones. But you can adjust manually and click the dropdown menu to Save As Default.
تحليل الاتجاه
VWAP Price ChannelVWAP Price Channel cuts the crust off of a traditional price channel (Donchian Channel) by anchoring VWAPs at the highs and lows. By doing this, the flat levels, characteristic of traditional Donchian Channels, are no more!
Author's Note: This indicator is formed with no inherent use, and serves solely as a thought experiment.
> Concept
I would be hesitant to call this a "predictive" indicator, however the behavior of it would suggest it could be considered at least partially predictive
Essentially, the Anchored VWAPs creates something from otherwise nothing.
While the DC upper or lower values are staying flat, the VWAPs improvise based on price and volume to project a level that may be a better representation of where future highs or lows may settle.
Visually, this looks like we have cut off the corners of the Donchian Channel.
Note: Notice how we are calculating values before the corners are realized.
> Implementation
While this is only a concept indicator, The specific application I've gone with for this, is a sort of supertrend-ish display (A Trend Flipping Trailing Stop Loss).
The script uses basic logic to create a trend direction, and then displays the Anchored VWAPs as a form of trailing stop loss.
While "In Trend", the script fills in the area between the VWAP and Price in the direction of trend.
When new highs or lows are made while in trend, the opposite VWAP will start to generate at the new highs or lows. These happen on every new high or low, so they are not indicating the trend shift, but could be interpreted as breakout levels for the current trend direction in order for continuation.
Note: All values are drawn live, but when using higher timeframes, there is a natural calculation discrepancy when using live data vs. historical.
> Technicals
In this script, I'm simply detecting new highs or lows from the DC and using those as the anchor frequency on the built-in VWAP function.
So each time a new high or low is made based on DC, the VWAP function re-anchors to the high or low of the candle.
Past that, I have implemented some logic in order to account for a common occurrence I faced during development.
Frequently, the price would outpace the anchored VWAP, so we would end up with the VWAP being further from price than the actual DC upper or lower.
Due to this, what I have ended up with was a third value which, rather than switching between raw VWAP values and DC values, it adjusts the value based on the change in the VWAP value.
This can be simply thought of as a "Start + Change" type of setup.
By doing this, I can use the change values from the actual anchored VWAP, and under normal conditions, this will also be the true VWAP value.
However, situationally, I am able to update the start value which we're applying the VWAP change to.
In other words, when these situations happen, the VWAP change is added to the new (closer to price) DC value.
The specific trend logic being used is nothing fancy at all, we are simply checking if a new high or low is created and setting the trend in that direction.
This is in line with some traditional DC Strategies.
To those who made it here,
Just remember:
The chart may be ugly, but it's the fastest analysis of the data you can get.
Nicer displays often come at the hidden cost of latency.
You have to shoot your shot to make it.
Choose 2: Fast, Clean, Useful
Enjoy!
SMC - Institutional Confidence Oscillator [PhenLabs]📊 Institutional Confidence Oscillator
Version: PineScript™v6
📌 Description
The Institutional Confidence Oscillator (ICO) revolutionizes market analysis by automatically detecting and evaluating institutional activity at key support and resistance levels using our own in-house detection system. This sophisticated indicator combines volume analysis, volatility measurements, and mathematical confidence algorithms to provide real-time readings of institutional sentiment and zone strength.
Using our advanced thin liquidity detection, the ICO identifies high-volume, narrow-range bars that signal institutional zone formation, then tracks how these zones perform under market pressure. The result is a dual-wave confidence oscillator that shows traders when institutions are actively defending price levels versus when they’re abandoning positions.
The indicator transforms complex institutional behavior patterns into clear, actionable confidence percentiles, helping traders align with smart money movements and avoid common retail trading pitfalls.
🚀 Points of Innovation
Automated thin liquidity zone detection using volume threshold multipliers and zone size filtering
Dual-sided confidence tracking for both support and resistance levels simultaneously
Sigmoid function processing for enhanced mathematical accuracy in confidence calculations
Real-time institutional defense pattern analysis through complete test cycles
Advanced visual smoothing options with multiple algorithmic methods (EMA, SMA, WMA, ALMA)
Integrated momentum indicators and gradient visualization for enhanced signal clarity
🔧 Core Components
Volume Threshold System: Analyzes volume ratios against baseline averages to identify institutional activity spikes
Zone Detection Algorithm: Automatically identifies thin liquidity zones based on customizable volume and size parameters
Confidence Lifecycle Engine: Tracks institutional defense patterns through complete observation windows
Mathematical Processing Core: Uses sigmoid functions to convert raw market data into normalized confidence percentiles
Visual Enhancement Suite: Provides multiple smoothing methods and customizable display options for optimal chart interpretation
🔥 Key Features
Auto-Detection Technology: Automatically scans for institutional zones without manual intervention, saving analysis time
Dual Confidence Tracking: Simultaneously monitors both support and resistance institutional activity for comprehensive market view
Smart Zone Validation: Evaluates zone strength through volume analysis, adverse excursion measurement, and defense success rates
Customizable Parameters: Extensive input options for volume thresholds, observation windows, and visual preferences
Real-Time Updates: Continuously processes market data to provide current institutional confidence readings
Enhanced Visualization: Features gradient fills, momentum indicators, and information panels for clear signal interpretation
🎨 Visualization
Dual Oscillator Lines: Support confidence (cyan) and resistance confidence (red) plotted as percentage values 0-100%
Gradient Fill Areas: Color-coded regions showing confidence dominance and strength levels
Reference Grid Lines: Horizontal markers at 25%, 50%, and 75% levels for easy interpretation
Information Panel: Real-time display of current confidence percentiles with color-coded dominance indicators
Momentum Indicators: Rate of change visualization for confidence trends
Background Highlights: Extreme confidence level alerts when readings exceed 80%
📖 Usage Guidelines
Auto-Detection Settings
Use Auto-Detection
Default: true
Description: Enables automatic thin liquidity zone identification based on volume and size criteria
Volume Threshold Multiplier
Default: 6.0, Range: 1.0+
Description: Controls sensitivity of volume spike detection for zone identification, higher values require more significant volume increases
Volume MA Length
Default: 15, Range: 1+
Description: Period for volume moving average baseline calculation, affects volume spike sensitivity
Max Zone Height %
Default: 0.5%, Range: 0.05%+
Description: Filters out wide price bars, keeping only thin liquidity zones as percentage of current price
Confidence Logic Settings
Test Observation Window
Default: 20 bars, Range: 2+
Description: Number of bars to monitor zone tests for confidence calculation, longer windows provide more stable readings
Clean Break Threshold
Default: 1.5 ATR, Range: 0.1+
Description: ATR multiple required for zone invalidation, higher values make zones more persistent
Visual Settings
Smoothing Method
Default: EMA, Options: SMA/EMA/WMA/ALMA
Description: Algorithm for signal smoothing, EMA responds faster while SMA provides more stability
Smoothing Length
Default: 5, Range: 1-50
Description: Period for smoothing calculation, higher values create smoother lines with more lag
✅ Best Use Cases
Trending market analysis where institutional zones provide reliable support/resistance levels
Breakout confirmation by validating zone strength before position entry
Divergence analysis when confidence shifts between support and resistance levels
Risk management through identification of high-confidence institutional backing
Market structure analysis for understanding institutional sentiment changes
⚠️ Limitations
Performs best in liquid markets with clear institutional participation
May produce false signals during low-volume or holiday trading periods
Requires sufficient price history for accurate confidence calculations
Confidence readings can fluctuate rapidly during high-impact news events
Manual fallback zones may not reflect actual institutional activity
💡 What Makes This Unique
Automated Detection: First Pine Script indicator to automatically identify thin liquidity zones using sophisticated volume analysis
Dual-Sided Analysis: Simultaneously tracks institutional confidence for both support and resistance levels
Mathematical Precision: Uses sigmoid functions for enhanced accuracy in confidence percentage calculations
Real-Time Processing: Continuously evaluates institutional defense patterns as market conditions change
Visual Innovation: Advanced smoothing options and gradient visualization for superior chart clarity
🔬 How It Works
1. Zone Identification Process:
Scans for high-volume bars that exceed the volume threshold multiplier
Filters bars by maximum zone height percentage to identify thin liquidity conditions
Stores qualified zones with proximity threshold filtering for relevance
2. Confidence Calculation Process:
Monitors price interaction with identified zones during observation windows
Measures volume ratios and adverse excursions during zone tests
Applies sigmoid function processing to normalize raw data into confidence percentiles
3. Real-Time Analysis Process:
Continuously updates confidence readings as new market data becomes available
Tracks institutional defense success rates and zone validation patterns
Provides visual and numerical feedback through the oscillator display
💡 Note:
The ICO works best when combined with traditional technical analysis and proper risk management. Higher confidence readings indicate stronger institutional backing but should be confirmed with price action and volume analysis. Consider using multiple timeframes for comprehensive market structure understanding.
Trend detection for stocksThis Pine Script indicator combines exponential moving averages (EMA) with the Average Directional Index (ADX) to identify clear upward and downward trends. The chart colors the background according to the trend and optionally displays buy and sell signals as well as alerts.
Functionality in detail:
The Fast EMA (Standard 21) reacts quickly to price changes.
The Slow EMA (Standard 55) smooths the trend more.
If the Fast EMA is above the Slow EMA and the ADX is above the defined threshold, the background turns green – indicating a clear upward trend.
Conversely, a red background signals a dominant downward trend.
Buy and sell arrows appear at the EMA crossover as soon as the ADX confirms that a trend is intact.
PDH/PDL Breakout—Anchored Ghost Targets + (Truth Table)What this does (integrated purpose—not a mashup):
This tool implements a “prove-it” breakout framework around prior-day levels. It (1) anchors Previous Day High/Low (PDH/PDL) to RTH, (2) reveals anchored ghost targets only after price proves itself beyond PDH/PDL, and (3) confirms direction using a 3-consecutive-closes rule. A compact Truth Table summarizes regime: Control Line, PDH/PDL position, and a microstructure-based composite trend score. Everything is designed to work together to filter fake breaks and provide objective upside/downside targets.
How it works (math/logic in plain English):
Prior-day levels (no repaint):
Pulls High, Low, Close of the previous day and extends PDH/PDL through today’s RTH session. (Daily values are read from the prior bar so signals don’t look ahead.)
Session scoping:
RTH is 09:30–16:00 ET. The script resets at 09:30, pre-creates all lines to the 16:00 session end, and confines triggers to RTH context.
Ghost target packs (original piece):
Compute classic pivot set from prior day:
P = (H+L+C) / 3, R1 = 2P − L, S1 = 2P−H
Create one full range-shift above and below the prior day:
range=H−L.
Add Fib overlays (0.382) around P/R1/S1 to form the pack.
Anchoring rule: packs are shifted so the upper pack never dips below PDH and the lower pack never rises above PDL. This prevents visual crossing with PDH/PDL and keeps targets clean after a confirmed break. Packs stay hidden until price proves itself (see next point).
Directional “prove-it” trigger:
You only get a signal after an actual cross of PDH/PDL followed by N consecutive RTH closes beyond that level (default 3; user input).
• Long: crossover above PDH → then 3 closes > PDH → one-bar pulse + optional alert.
• Short: crossunder below PDL → then 3 closes < PDL → one-bar pulse + optional alert.
After the first qualified trigger each session, bars beyond the level get a subtle Neo candle style so breakouts are visually distinct.
Truth Table (integration, not decoration):
Control Line = a smoothed multi-EMA control band (we expose a single “control line” derived from it),
PDH/PDL position (above, below, or inside),
Composite Trend = non-lag microstructure score combining: close-location value, thrust, wick imbalance, range-expansion direction, and HH/HL vs LL/LH structure (all summed over a short causal window).
Header colors use majority vote across those three rows so you see regime at a glance. This is used to interpret breaks and avoid chasing noise.
How to use it (practical workflow):
On equities during RTH, watch PDH/PDL.
When a break occurs, wait for the 3-close confirmation—that’s your “prove-it” trigger.
Upon trigger, the corresponding ghost pack becomes visible and provides objective intraday targets (pack lines + dashed Fib lines).
Use the Truth Table to sanity-check regime (e.g., bullish majority + PDH break = higher-confidence continuation).
Inputs & alerts:
Consecutive closes required (default 3).
Show Truth Table (on/off).
EMA ribbon/control line (on/off).
Alerts: “Bullish Trigger” and “Bearish Trigger” fire on the one-bar pulses right when confirmation completes.
Notes & limitations:
Designed for stocks using 09:30–16:00 ET. On 24/7 markets (e.g., crypto) RTH logic isn’t applicable.
Prior-day values are fixed from the daily timeframe, so the logic does not repaint.
The “Neo” candle styling is post-trigger only to keep earlier bars clean.
Why this is original/useful:
This is a single, integrated framework: anchored ghost targets (with a non-crossing constraint), prove-it confirmation (3-close rule), and a non-lag composite microstructure score summarized in a Truth Table. The components are purpose-built to work together to reduce false breakouts and supply clean, objective targets after confirmation—this is not a cosmetic mashup.
Educational note: Not financial advice. Test before use.
CAT FLD SmoothWhat is an FLD?
The FLD stands for Future Line of Demarcation, introduced by J.M. Hurst in his Cyclic Analysis work.
It is constructed by shifting the price forward in time by half the length of a given cycle. For example, if you want to analyze a 40-bar cycle, you would plot price shifted forward by 20 bars. This creates a projected line that acts as a dynamic reference for where the cycle rhythm should align.
In practice, each cycle has its own FLD (20, 40, 80 bars, etc.), and when price interacts with those FLDs, it often reveals the underlying rhythm of market waves.
How Traders Use the FLD
1. Cycle Detection
When price crosses its FLD, it is often the signal that a cycle trough or peak has recently formed. This allows the trader to recognize where one wave ends and the next begins.
Upward cross → suggests a new upward cycle has started.
Downward cross → suggests a downward cycle is unfolding.
2. Projection of Price Targets
One of Hurst’s key insights is that after crossing an FLD, price often travels a distance roughly equal to the recent cycle’s amplitude. This makes the FLD a tool not only for timing but also for projecting targets.
Example:
If price rises through the 40-bar FLD after a cycle trough, the expected move is often the same height as the move off the last trough to the point of a break through the FLD.
3. Support and Resistance
FLDs can act like invisible levels of support and resistance, but unlike static horizontal levels, they are dynamic and cycle-based. Price often hesitates, bounces, or accelerates when touching its FLD.
4. Multi-Cycle Confluence
Markets rarely move in just one cycle length. By plotting multiple FLDs (for example, 20-bar, 40-bar, and 80-bar), traders can see where several FLDs line up. These confluences are particularly powerful—they highlight high-probability turning points.
Why FLDs Matter?
They help separate noise from structure by focusing on repeating time rhythms.
They provide early signals of where cycles invert.
They give price targets that are not arbitrary, but cycle-derived.
They can be combined with other tools (trendlines, oscillators, volume) for confirmation.
👉 With this indicator, you can visualize Hurst’s FLDs directly on your TradingView charts, making it easier to detect cycles, project targets, and anticipate turning points before they become obvious to everyone else.
CastAway Trader LLC, the publisher of this indicator is not registered as an investment adviser nor a broker/dealer with either the U. S. Securities & Exchange Commission or any state securities regulatory authority.
CastAway Trader LLC reserves the right to un-publish this indicator or change it without any written notice.
Past results are not indicative of future profits.
Smart Money Trades Pro [BOSWaves]Smart Money Trades Pro – Advanced Market Structure & Liquidity Visualizer
Overview
Smart Money Trades Pro is a comprehensive trading tool designed for traders seeking an in-depth understanding of market structure, liquidity dynamics, and institutional flow. The indicator systematically identifies key market turning points, including break of structure (BOS) and change of character (CHoCH) events, and overlays these with adaptive visualizations to highlight high-probability trade setups. By integrating ATR-based risk zones, progressive take-profit levels, and real-time trade analytics, Smart Money Trades Pro transforms complex price action into an interpretable framework suitable for multiple trading styles, including scalping, intraday, and swing trading.
Unlike traditional static indicators, Smart Money Trades Pro adapts continuously to market conditions. It evaluates swing highs and lows over a configurable lookback period, then determines structural breaks using customizable confirmation methods (candle body or wick). The resulting signals are augmented with dynamic entry, stop-loss, and target levels, allowing traders to analyze potential trade opportunities with both precision and context. The indicator’s design ensures that each visual element—trend-colored candles, signal markers, and risk/reward boxes—reflects real-time market conditions, offering an actionable interpretation of institutional activity.
How It Works
The indicator’s foundation is built upon market structure analysis. By calculating pivot highs and lows over a specified period, Smart Money Trades Pro identifies potential points of liquidity accumulation and exhaustion. When price breaks a pivot high or low, the indicator evaluates whether this constitutes a BOS or a CHoCH, signaling trend continuation or reversal. These events are marked on the chart with distinct visual cues, allowing traders to quickly discern shifts in market sentiment without manually analyzing historical price action.
Once a structural break is confirmed, the indicator automatically determines entry levels, stop-loss placements, and progressive take-profit zones (TP1, TP2, TP3). These calculations are based on ATR-derived volatility, ensuring that targets scale with current market conditions. Risk and reward zones are plotted as shaded boxes, providing a clear visual representation of potential profit relative to risk for each trade setup. This system allows traders to maintain discipline and consistency, with dynamic trade management baked directly into the visualization.
Trend direction is further reinforced by color-coded candles, which reflect the prevailing market bias. Bullish trends are represented by one color, bearish trends by another, and neutral conditions are displayed in muted tones. This continuous visual feedback simplifies the process of trend assessment and helps confirm the validity of trade setups alongside BOS and CHoCH markers.
Signals and Breakouts
Smart Money Trades Pro includes structured visual signals to indicate actionable price movements:
Bullish Break Signals – Triangular markers below the candle appear when a swing high is broken, suggesting potential long opportunities.
Bearish Break Signals – Triangular markers above the candle appear when a swing low is broken, indicating potential short setups.
Change of Character (CHoCH) – Special markers highlight trend reversals, showing where momentum shifts from bullish to bearish or vice versa.
These markers are strategically spaced to prevent overlap and remain clear during high-volatility periods. Traders can use them in combination with trend-colored candles, risk/reward zones, and ATR-based targets to assess the strength and reliability of each setup. The integrated table provides live trade information, including entry price, stop-loss level, take-profit levels, risk/reward ratio, and trade direction, ensuring that trade decisions are informed and data-driven.
Interpretation
Trend Analysis : The indicator’s trend coloring, combined with BOS and CHoCH detection, provides an immediate view of market direction. Rising structures indicate bullish momentum, while falling structures signal bearish momentum. CHoCH markers highlight potential trend reversals or significant liquidity sweeps.
Volatility and Risk Assessment : ATR-based calculations determine stop-loss distances and target levels, giving a quantitative measure of risk relative to market volatility. Wide ATR readings indicate periods of high price fluctuation, whereas narrow readings suggest consolidation and reduced risk exposure.
Market Structure Insights : By monitoring swing highs and lows alongside break confirmations, traders can identify where institutional players are likely active. Areas with multiple structural breaks or overlapping targets can indicate liquidity hotspots, potential reversal zones, or areas of market congestion.
Trade Management : The built-in trade zones allow traders to visualize entry, risk, and reward simultaneously. Progressive targets (TP1, TP2, TP3) reflect incremental profit-taking strategies, while dynamic stop-loss levels help preserve capital during adverse moves.
Strategy Integration
Smart Money Trades Pro supports a range of trading approaches:
Trend Following : Enter trades in the direction of confirmed BOS while using CHoCH markers and trend-colored candles to validate momentum.
Pullback Entries : Use failed breakout retests or minor reversals toward broken structure levels for lower-risk entries.
Mean Reversion : In consolidated zones with narrow ATR and repeated BOS/CHoCH activity, anticipate reversals or short-term corrective moves.
Multi-Timeframe Confirmation : Overlay signals on higher or lower timeframes to filter noise and improve trade accuracy.
Stop-loss levels should be placed just beyond the opposing structural point, while take-profit targets can be scaled using the ATR-based zones. Progressive targets allow for partial exits or scaling out of trades while maintaining exposure to larger moves.
Advanced Techniques
Traders seeking greater precision can combine Smart Money Trades Pro with volume, momentum, or volatility indicators to validate signals. Observing sequences of BOS and CHoCH markers across multiple timeframes provides insight into liquidity accumulation and depletion trends. Tracking the expansion or contraction of ATR-based zones helps anticipate shifts in volatility, enabling better timing for entries and exits.
Customizing the structure period and confirmation type allows the indicator to adapt to different asset classes and timeframes. Shorter periods increase sensitivity to smaller swings, while longer periods filter noise and emphasize higher-probability structural breaks. By integrating these features, the indicator offers a robust statistical framework for disciplined, data-driven trading decisions.
Inputs and Customization
Structure Detection Period : Defines the lookback window for pivot high and low calculation.
Break Confirmation : Choose whether to confirm breaks using candle body or wick.
Display CHoCH : Toggle visibility of change-of-character markers.
Color Trend Bars : Enable color-coding of candles based on market structure direction.
Show Info Table : Display trade dashboard showing entry, stop-loss, take-profits, risk/reward, and bias.
Table Position : Choose from top-left, top-right, bottom-left, or bottom-right placement.
Color Customization : Configure bullish, bearish, neutral, risk, reward, and text colors for enhanced visual clarity.
Why Use Smart Money Trades Pro
Smart Money Trades Pro transforms complex market behavior into an actionable visual framework. By combining market structure analysis, liquidity tracking, ATR-based risk/reward mapping, and a dynamic trade dashboard, it provides a multidimensional view of the market. Traders can focus on execution, interpret trends, and evaluate overextensions or reversals without relying on guesswork. The indicator is suitable for scalping, intraday, and swing strategies, offering a comprehensive system for understanding and trading alongside institutional participants.
ICT OTE (Optimal Trade Entry) IndicatorWhat This Indicator Does:
This is an ultra-clean ICT (Inner Circle Trader) indicator that shows only ONE high-probability signal at a time when multiple confluences perfectly align. It eliminates chart clutter and focuses on the absolute best trading opportunities.
How It Takes Positions:
🔍 Signal Requirements (ALL Must Align):
Market Structure Break - Significant swing high/low break with volume confirmation
Fair Value Gap (FVG) - Large price imbalance/gap (minimum 0.5% size)
Order Block - Institutional supply/demand zone from recent rejection candle
OTE Sweet Spot - Price retraces to 70.5% Fibonacci level (optimal entry zone)
Volume Confirmation - 50% above 50-bar average volume
Rejection Candle - Proper candle formation showing rejection at the level
📊 Position Entry Logic:
BUY Signal Triggers When:
Price breaks above a significant swing high (bullish structure break)
Price retraces back down into a Fair Value Gap or Order Block
Retracement reaches exactly the 70.5% optimal level
Volume spike confirms institutional interest
Rejection candle forms (closes higher than it opened during retracement)
No other signal has been active in the last 50 bars (cooldown system)
SELL Signal Triggers When:
Price breaks below a significant swing low (bearish structure break)
Price retraces back up into a Fair Value Gap or Order Block
Retracement reaches exactly the 70.5% optimal level
Volume spike confirms institutional interest
Rejection candle forms (closes lower than it opened during retracement)
No other signal has been active in the last 50 bars (cooldown system)
⚡ Key Features:
Ultra-Strict Filtering: Only 2-4 signals per month on average (quality over quantity)
One Signal Rule: Only one active signal at a time - no confusion
50-Bar Cooldown: Prevents signal spam and overtrading
Perfect Confluence: Requires 3+ ICT concepts to align simultaneously
Clean Chart: No boxes, lines, or visual clutter - just clear BUY/SELL labels
🎯 Trading Strategy:
Wait for Signal: Large BUY or SELL label appears on chart
Entry: Enter immediately when signal appears (all confluences already confirmed)
Stop Loss: Place beyond the Fair Value Gap or Order Block (typically 1-2% risk)
Take Profit: Target previous swing high/low or major liquidity levels
Risk Management: Only trade when signal appears - no guessing or early entries
💡 Why It Works:
This indicator combines ICT's most powerful concepts (market structure, FVGs, order blocks, optimal retracements) into one confluence-based system. It only signals when institutional money is likely moving, giving you the highest probability entries with minimal noise.
Perfect for: Swing traders, day traders, and anyone wanting clean, high-probability ICT signals without chart clutter.
Moving Average Adaptive RSI [BackQuant]Moving Average Adaptive RSI
What this is
A momentum oscillator that reshapes classic RSI into a zero-centered column plot and makes it adaptive. It builds RSI from two parts:
• A sensitivity window that scans several recent bars to capture the strongest up and down impulses.
• A selectable moving average that smooths those impulses before computing RSI.
The output ranges roughly from −100 to +100 with 0 as the midline, with optional extra smoothing and built-in divergence detection.
How it works
Impulse extraction
• For each bar the script inspects the last rsi_sen bars and collects upward and downward price changes versus the current price.
• It keeps the maximum upward change and maximum downward change from that window, emphasizing true bursts over single-bar noise.
MA-based averaging
• The up and down impulse series are averaged with your chosen MA over rsi_len bars.
• Supported MA types: SMA, EMA, DEMA, WMA, HMA, SMMA (RMA), TEMA.
Zero-centered RSI transform
• RS = UpMA ÷ DownMA, then mapped to a symmetric scale: 100 − 200 ÷ (1 + RS) .
• Above 0 implies positive momentum bias. Below 0 implies negative momentum bias.
Optional extra smoothing
• A second smoothing pass can be applied to the final oscillator using smoothing_len and smooth_type . Toggle with “Use Extra Smoothing”.
Visual encoding
• The oscillator is drawn as columns around the zero line with a gradient that intensifies toward extremes.
• Static bands mark 80 to 100 and −80 to −100 for extreme conditions.
Key inputs and what they change
• Price Source : input series for momentum.
• Calculation Period (rsi_len) : primary averaging window on up and down components. Higher = smoother, slower.
• Sensitivity (rsi_sen) : how many recent bars are scanned to find max impulses. Higher = more responsive to bursts.
• Calculation Type (ma_type) : MA family that shapes the core behavior. HMA or DEMA is faster, SMA or SMMA is slower.
• Smoothing Type and Length : optional second pass to calm noise on the final output.
• UI toggles : show or hide the oscillator, candle painting, and extreme bands.
Reading the oscillator
• Midline cross up (0) : momentum bias turning positive.
• Midline cross down (0) : momentum bias turning negative.
• Positive territory :
– 0 to 40: constructive but not stretched.
– 40 to 80: strong momentum, continuation more likely.
– Above 80: extreme risk of mean reversion grows.
• Negative territory : mirror the same levels for the downside.
Divergence detection
The script plots four divergence types using pivot highs and lows on both price and the oscillator. Lookbacks are set by lbL and lbR .
• Regular bullish : price lower low, oscillator higher low. Possible downside exhaustion.
• Hidden bullish : price higher low, oscillator lower low. Bias to trend continuation up.
• Regular bearish : price higher high, oscillator lower high. Possible upside exhaustion.
• Hidden bearish : price lower high, oscillator higher high. Bias to trend continuation down.
Labels: ℝ for regular, ℍ for hidden. Green for bullish, red for bearish.
Candle coloring
• Optional bar painting: green when the oscillator is above 0, red when below 0. This is for visual scanning only.
Strengths
• Adaptive sensitivity via a rolling impulse window that responds to genuine bursts.
• Configurable MA core so you can match responsiveness to the instrument.
• Zero-centered scale for simple regime reads with 0 as a clear bias line.
• Built-in regular and hidden divergence mapping.
• Flexible across symbols and timeframes once tuned.
Limitations and cautions
• Trends can remain extended. Treat extremes as context rather than automatic reversal signals.
• Divergence quality depends on pivot lookbacks. Short lookbacks give more signals with more noise. Long lookbacks reduce noise but add lag.
• Double smoothing can delay zero-line transitions. Balance smoothness and timeliness.
Practical usage ideas
• Regime filter : only take long setups from your separate method when the oscillator is above 0, shorts when below 0.
• Pullback confirmation : in uptrends, look for dips that hold above 0 or turn up from 0 to 40. Reverse for downtrends.
• Divergence as a heads-up : wait for a zero-line cross or a price trigger before acting on divergence.
• Sensitivity tuning : start with rsi_sen 2 to 5 on faster timeframes, increase slightly on slower charts.
Alerts
• MA-A RSI Long : oscillator crosses above 0.
• MA-A RSI Short : oscillator crosses below 0.
Use these as bias or timing aids, not standalone trade commands.
Settings quick reference
• Calculation : Price Source, Calculation Type, Calculation Period, Sensitivity.
• Smoothing : Smoothing Type, Smoothing Length, Use Extra Smoothing.
• UI : Show Oscillator, Paint Candles, Show Static High and Low Levels.
• Divergences : Pivot Lookback Left and Right, Div Signal Length, Show Detected Divergences.
Final thoughts
This tool reframes RSI by extracting strong short-term impulses and averaging them with a moving-average model of your choice, then presenting a zero-centered output for clear regime reads. Pair it with your structure, risk and execution process, and tune sensitivity and smoothing to the market you trade.
Volume Printed Candles WITH RVOL BREAKOUT/BREAKDOWN CONFERMATIONANZAR873
RVOL (Relative Volume)
Relative Volume = Current Volume ÷ Average Volume (last N candles)
If RVOL = 1.0 → Current volume = exactly average.
If RVOL > 1.0 → Current volume is higher than average (buyers/sellers are active).
If RVOL < 1.0 → Current volume is lower than average (market dull, higher risk of fake moves).
Examples:
RVOL = 0.7 → Volume is only 70% of average → Weak move.
RVOL = 1.5 → Volume is 50% higher than average → Strong move, genuine breakout/breakdown likely.
🔹 Candle Colors (based on RVOL):
Grey (RVOL < 0.7) → Low volume, weak move, possible fake.
Blue (0.7 ≤ RVOL < 1.0) → Medium-low volume, some activity but weaker than average.
Orange (1.0 ≤ RVOL < 1.5) → High volume, strong buying/selling pressure. With breakout/breakdown → reliable.
Red (RVOL ≥ 1.5) → Very High / Ultra volume. Big players active. If support/resistance breaks with red candle → strongest confirmation.
🔹 How to use in trading?
Breakout/Breakdown Confirmation → Trust only if RVOL ≥ 1.2–1.5 and candle color is Orange or Red.
Avoid trading → When candles are Grey or Blue (fake move risk).
Scalping/Quick Trades → Low RVOL = small targets, High RVOL = bigger targets possible.
In simple words:
RVOL is like a strength meter of the candle.
Colors instantly show candle reliability:
Grey/Blue = Weak
Orange/Red = Strong
⚡ Perfect for intraday, scalping, and breakout traders who want quick volume-based confirmation.
AekFreedom Trading OscillatorAekFreedom Trading Oscillator: User Guide
Overview
The AekFreedom Trading Oscillator is a comprehensive, all-in-one technical analysis tool designed for TradingView. It consolidates a powerful suite of essential indicators into a single, highly customizable indicator pane. The primary goal is to reduce chart clutter and provide traders with a multi-faceted view of the market, combining momentum, trend strength, volatility, and divergence signals in one place.
Core Features & Indicators
This script includes the following fully customizable indicators:
Relative Strength Index (RSI): A core momentum oscillator used to measure the speed and change of price movements. It features gradient fills for overbought (70-100) and oversold (0-30) zones, along with an optional smoothing moving average.
Stochastic Oscillator: Another momentum indicator that compares a particular closing price of a security to a range of its prices over a certain period of time to identify overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): A trend-following momentum indicator that shows the relationship between two exponential moving averages (EMAs). It includes the MACD line, Signal line, and Histogram.
Awesome Oscillator (AO): A momentum indicator that measures the market's driving force by comparing recent momentum with general momentum over a wider timeframe.
ADX (Average Directional Index): An indicator used to quantify the strength of a trend, regardless of its direction (up or down). An ADX value over 25 typically suggests a strong trend.
ATR (Average True Range): A key indicator for measuring market volatility.
Advanced Divergence Engine
One of the most powerful features of this script is its built-in Divergence Engine. It can automatically detect and display both Regular Bullish and Regular Bearish divergences.
Supported Indicators: Divergence detection is available for RSI, Awesome Oscillator (AO), and the MACD Line.
Visual Signals: When a divergence is found, the script will:
Draw a line on the oscillator connecting the relevant pivot points.
Display a "Bull" or "Bear" label directly below or above the signal for easy identification.
Alerts: You can set up alerts in TradingView that will trigger whenever a new divergence signal appears.
How to Use: Settings Panel
The indicator is fully customizable via the settings panel.
Indicator Visibility
This is your main control panel for toggling visuals on and off to keep your chart clean.
Show...: Check or uncheck any indicator (e.g., Show RSI & MA, Show Stochastic, Show ATR) to display or hide it instantly.
Show... Divergence: Use these checkboxes (e.g., Show RSI Divergence) to control the visibility of the divergence lines and labels on the chart.
Indicator-Specific Settings
Each indicator has its own group of settings for fine-tuning its parameters.
RSI / AO / MACD Settings:
Here you can adjust standard parameters like Length, Source, etc.
IMPORTANT: Each of these has a Calculate Divergence checkbox. You must enable this checkbox for the script to perform the resource-intensive calculation for that indicator's divergence.
Stochastic Settings: Adjust the %K Length, %K Smoothing, and %D Smoothing.
ADX Settings: Adjust the ADX Smoothing and DI Length.
ATR Settings: Adjust the Length for the ATR calculation.
📌 How to Enable Divergence Signals (2 Steps):
To see divergence for an indicator (e.g., MACD), you must do two things:
Go to "MACD Settings" and check the box for Calculate Divergence.
Go to "Indicator Visibility" and ensure the box for Show MACD Divergence is also checked.
trending -Separate Pane Color BandThe "Donchian trendi multi time frame Color Band" is designed to identify trend directions based on swing highs and lows (similar to Donchian channel concepts, where trends are determined by breakouts from recent highs/lows). The indicator operates in a separate pane (overlay = false) and primarily visualizes:
Trend Direction: Determined by the relative positions of the most recent swing high and swing low. If the last swing high occurred after the last swing low, it's considered an uptrend (bullish); otherwise, a downtrend (bearish).
Adaptive Trend Band: A colored area plot in the indicator pane that represents an adaptive tracking period (influenced by volatility if enabled), filled with a color indicating the current trend (green for up, red for down).
Multi-Timeframe (MTF) Table: An optional table displayed in the top-right corner, showing the trend signal (Bullish or Bearish) for up to 6 user-defined higher timeframes. Each cell is colored based on the trend.
The indicator uses swing detection to gauge trend, incorporates optional volatility-based adaptation for responsiveness, and focuses on multi-timeframe analysis for broader market context. It's not a direct Donchian channel (which typically plots upper/lower bands), but borrows the idea of using highest/lowest prices over a period to detect pivots. It doesn't generate buy/sell signals explicitly but can be used for trend confirmation across timeframes.
Key features include tooltips for inputs, making it user-friendly, and limits on bars/labels for performance.
Key Inputs and Their Roles
The indicator provides customizable inputs grouped into "Swing Points", "Style", and "Multi Timeframe". Here's a breakdown:
Swing Period (prd): Default 50, minimum 2. This sets the lookback period (in bars) for identifying swing highs and lows. Higher values capture major swings (less noise, more lag); lower values detect minor swings (more responsive, but noisier).
Adaptive Price Tracking (baseAPT): Default 20, minimum 1. This base value controls the responsiveness of an adaptive tracking mechanism (similar to a VWAP or moving average length). Lower values make it tighter to price action; higher values smooth it out.
Adapt APT by ATR ratio (useAdapt): Default false. If enabled, the tracking period dynamically adjusts based on market volatility (measured via ATR - Average True Range). High volatility shortens the period for faster reaction; low volatility lengthens it for smoothness.
Volatility Bias (volBias): Default 10.0, minimum 0.1. This amplifies or dampens how much volatility affects the adaptive tracking. Values >1 make it more sensitive to volatility changes; <1 make it less reactive.
Up Color (S): Default lime (green). Color for bullish trends in the band and table.
Down Color (R): Default red. Color for bearish trends in the band and table.
Show MTF Table (show_table): Default true. Toggles the display of the multi-timeframe trend table.
Time frames (tf1 to tf6): Defaults: '1' (1-minute), '3' (3-minute), '15' (15-minute), '60' (1-hour), '240' (4-hour), 'D' (daily). These are the higher timeframes for which trend directions are calculated and shown in the table.
Usage and Interpretation
On the Chart: Add this to a TradingView chart (e.g., for stocks, crypto, forex). The colored area in the indicator pane shows the current timeframe's trend: green band = bullish, red = bearish. The band's height reflects the adaptive period (wider in low volatility if adaptation is on).
MTF Table: Use this for alignment across timeframes. If most/higher timeframes are bullish, it might confirm an uptrend on the current chart. Ideal for trend-following strategies (e.g., trade in the direction of higher TFs).
Customization Tips:
Increase prd for longer-term trends.
Enable useAdapt in choppy markets for better responsiveness.
Adjust timeframes to match your trading style (e.g., scalping: lower TFs; swing: higher).
Limitations:
Relies on historical bars (max_bars_back=5000), so it may not load on very long charts.
No alerts or signals built-in; it's visual-only.
The "Donchian" in the name is loose—it's more pivot-based than full channels.
Adaptation uses ATR, which assumes volatility drives trend responsiveness, but may lag in ranging markets.
Dual 4/8 MTFInspired on multi-timeframe Murrey’s Math Lines Channel.
Using the 4/8 , 2 times with different fractal multipliers to follow the trend
Lines and fill in between then can be =
-dynamic :(turn green/red/grey depending on price)
-static : fixed colour that wont change depending on trend
Market Imbalance Tracker (Inefficient Candle + FVG)# 📊 Overview
This indicator combines two imbalance concepts:
• **Squared Up Points (SUP)** – midpoints of large, "inefficient" candles that often attract price back.
• **Fair Value Gaps (FVG)** – 3-candle gaps created by strong impulse moves that often get "filled."
Use them separately or together. Confluence between a SUP line and an FVG boundary/midpoint is high-value.
---
# ⚡ Quick Start (2 minutes)
1. **Add to chart** → keep defaults (Percentile method, 80th percentile, 100-bar lookback).
2. **Watch** for dashed SUP lines to print after large candles.
3. **Toggle Show FVG** → see green/red boxes where gaps exist.
4. **Turn on alerts** → New SUP created, SUP touched, New FVG.
5. **Trade the reaction** → look for confluence (SUP + FVG + S/R), then manage risk.
---
# 🛠 Features
## 🔹 Squared Up Points (SUP)
• **Purpose:** Midpoint of a large candle → potential support/resistance magnet.
• **Detection:** Choose *Percentile* (adaptive) or *ATR Multiple* (absolute).
• **Validation:** Only plots if the preceding candle does not touch the midpoint (with tolerance).
• **Lifecycle:** Line auto-extends into the future; it's removed when touched or aged out.
• **Visual:** Horizontal dashed line (color/width configurable; style fixed to dashed if not exposed).
## 🔹 Fair Value Gaps (FVG)
• **Purpose:** 3-candle gaps from an impulse; price often revisits to "fill."
• **Detection:** Requires a strong directional candle (Marubozu threshold) creating a gap.
• **Types:**
- **Bullish FVG (Green):** Gap below; expectation is downward fill.
- **Bearish FVG (Red):** Gap above; expectation is upward fill.
• **Close Rules (if implemented):**
- *Full Fill:* Gap closes when the opposite boundary is tagged.
- *Midpoint Fill:* Gap closes when its midpoint is tagged.
• **Visual:** Colored boxes; optional split-coloring to emphasize the midpoint.
> **Note:** If a listed FVG option isn't visible in Inputs, you're on a lighter build; use the available switches.
---
# ⚙️ Settings
## SUP Settings
• **Candle Size Method:** Percentile (top X% of recent ranges) or ATR Multiple.
• **Candle Size Percentile:** e.g., 80 → top 20% largest candles.
• **ATR Multiple & Period:** e.g., 1.5 × ATR(14).
• **Percentile Lookback:** Bars used to compute percentile.
• **Lookback Period:** How long SUP lines remain eligible before auto-cleanup.
• **Touch Tolerance (%):** Buffer based on the inefficient candle's range (0% = exact touch).
## Line Appearance
• **Line Color / Width:** Customizable.
• **Style:** Dashed (fixed unless you expose a style input).
## FVG Settings (if present in your build)
• **Show FVG:** On/Off.
• **Close Method:** Full Fill or Midpoint.
• **Marubozu Wick Tolerance:** Max wick % of the impulse bar.
• **Use Split Coloring:** Two-tone box halves around midpoint.
• **Colors:** Bullish/Bearish, and upper/lower halves (if split).
• **Max FVG Age:** Auto-remove older gaps.
---
# 📈 How to Use
## Trading Applications
• **SUP Lines:** Expect reaction on first touch; use as S/R or profit-taking magnets.
• **FVG Fills:** Price frequently tags the midpoint/boundary before continuing.
• **Confluence:** SUP at an FVG midpoint/boundary + higher-timeframe S/R = higher quality.
• **Bias:** Clusters of unfilled FVGs can hint at path of least resistance.
## Best Practices
• **Timeframe:** HTFs for swing levels, LTFs for execution.
• **Volume:** High volume at level = stronger signal.
• **Context:** Trade with broader trend or at least avoid counter-trend without confirmation.
• **Risk:** Always pre-define invalidation; structures fail in chop.
---
# 🔔 Alerts
• **New SUP Created** – When a qualifying inefficient candle prints a SUP midpoint.
• **SUP Touched/Invalidated** – When price touches within tolerance.
• **New FVG Detected** – When a valid gap forms per your rules.
> **Tip:** Set alerts *Once Per Bar Close* on HTFs; *Once* on LTFs to avoid noise.
---
# 🧑💻 Technical Notes
• **Percentile vs ATR:** Percentile adapts to volatility; ATR gives consistency for backtesting.
• **FVG Direction Logic:** Gap above price = bearish (expect up-fill); below = bullish (expect down-fill).
• **Performance:** Limits on lines/boxes and auto-aging keep things snappy.
---
# ⚠️ Limitations
• Imbalances are **context tools**, not signals by themselves.
• Works best with trend or clear impulses; expect noise in narrow ranges.
• Lower-timeframe gaps can be plentiful and lower quality.
---
# 📌 Version & Requirements
• **Pine Script v6**
• Heavy drawings may require **TradingView Pro** or higher (object limits).
---
*For best results, combine with your existing trading strategy and proper risk management.*
The Perfect Timing IndicatorFlashes a green arrow on your screen when bullish momentum is starting to build.
Multi HTF High/Low LevelsThis indicator plots the previous high and low from up to four user-defined higher timeframes (HTF), providing crucial levels of support and resistance. It's designed to be both powerful and clean, giving you a clear view of the market structure from multiple perspectives without cluttering your chart.
Key Features:
Four Customizable Timeframes: Configure up to four distinct higher timeframes (e.g., 1-hour, 4-hour, Daily, Weekly) to see the levels that matter most to your trading style.
Automatic Visibility: The indicator is smart. It automatically hides levels from any timeframe that is lower than your current chart's timeframe. For example, if you're viewing a Daily chart, the 4-hour levels won't be shown.
Clean On-Chart Lines: The high and low for each timeframe are displayed as clean, extended horizontal lines, but only for the duration of the current higher-timeframe period. This keeps your historical chart clean while still showing the most relevant current levels.
Persistent Price Scale Labels: For easy reference, the price of each high and low is always visible on the price scale and in the data window. This is achieved with an invisible plot, giving you the accessibility of a plot without the visual noise.
How to Use:
Go into the indicator settings.
Under each "Timeframe" group, check the "Show" box to enable that specific timeframe.
Select your desired timeframe from the dropdown menu.
The indicator will automatically calculate and display the previous high and low for each enabled timeframe.
[RS] Dual Murrey 4/8 (MTF) Inspired on multi-timeframe Murrey’s Math Lines Channel.
Using the 4/8 , 2 times with different fractal multipliers to follow the trend
MasterEdge v4 — Trend & Momentum Presets with Filters & ATR RiskMasterEdge v4 — Trend & Momentum with Filters & ATR Risk
MasterEdge v4 is a multi‑timeframe trend and momentum indicator designed to help you stay on the right side of the market while controlling risk. It combines two classic signal engines—Donchian channel breakouts (à la Turtle Traders) and moving‑average crosses—with a suite of filters and risk tools to reduce false signals and keep you disciplined.
## Core features
- **Auto/manual presets:** Automatically adjusts look‑back lengths and thresholds based on the instrument (crypto, forex, indices, etc.) and chart timeframe, or lets you set them manually.
- **Higher‑timeframe bias:** Uses a non‑repainting higher‑timeframe EMA to determine whether the market is trending up or down and gates signals accordingly. You can choose the HTF yourself or let the auto‑engine pick one.
- **Dual signal modes:**
- *Donchian (Turtle)* mode enters on breakouts of an N‑bar channel and exits on a shorter channel.
- *MA Cross* mode buys when a fast EMA/SMA crosses above a slow EMA/SMA and sells on the opposite cross.
- **Advanced filters:** RSI momentum and ADX trend‑strength filters help avoid trades during choppy conditions. Optional volume and HTF‑slope filters require participation and higher‑timeframe momentum. A configurable **quality score** combines these filters so you only take higher‑probability setups.
- **ATR risk rails & position sizing:** Visual stop‑loss and target rails are calculated from ATR to adapt to volatility. An optional position‑size suggestion uses your account size and risk percentage to estimate how much to trade (for informational purposes only).
- **Session gating & status table:** Restrict signals to specific trading sessions. A live table shows your current settings, filter status, quality score and recommended position size, so you always know why a signal fired—or didn’t.
- **Alerts:** Separate long and short alerts with static JSON payloads let you hook the indicator into your notification or webhook workflow.
## How to use
1. **Select auto or manual:** Use the *Preset Mode* input. Auto mode adjusts lengths and thresholds to the ticker and timeframe; manual mode lets you set them explicitly.
2. **Choose a signal mode:** Pick between Donchian breakout or MA cross. Donchian is often better for lower‑timeframe breakouts; MA crosses smooth out noise on higher timeframes.
3. **Enable filters:** Turn on RSI, ADX, volume and/or slope filters and set your desired quality‑score threshold. Higher thresholds yield fewer, cleaner signals.
4. **Define risk:** If you want visual risk guides and position‑size suggestions, leave ATR rails on and input your account size, risk percentage and value per point.
5. **Timeframe pairing:** For intraday trading, try a 5 min chart with a 60 min bias; for swing trading, use a 1 h chart with a 4 h bias. The auto‑engine selects sensible higher‑timeframe defaults, but you can override them.
6. **Confirm signals:** The indicator plots green triangles below bars for long signals and red triangles above bars for short signals. The status table updates each bar with filter states and whether a signal is active.
**Disclaimer:** This script is for educational and analysis purposes only and is not financial advice. Always test on a demo account before trading live and tailor the settings to your strategy, risk tolerance and market behaviour.
Supertrend -Mahesh Reddy same like in zeroda best one here all super trend doesnt work perfectly so made this one
Inverse Fisher Transform COMBO XThis is a vastly improved version of the indicator "Inverse Fisher Transform COMBO STO+RSI+CCIv2" by KIVANÇ fr3762 and updated previously by lordofcodes.
This script includes all the original oscillators included in the original script including CCI, CCIv2, MFI, RSI, Stochastic, and SMI oscillators. In Inverse Fisher Transform, one looks for the indicator lines of your choosing to be either above or below the centerline as with all oscillators. In addition it has many new features that greatly enhance the variety of uses for this very helpful indicator.
-Updated the script to indicator in pinescript v6.
-An Inverse Fisher Transform of the Heikin Ashi Calculation has been included in the script, with
both a raw Heikin Ashi signal output as well as a smoothed Heikin Ashi calculation are included.
-In addition, bar coloring according to the raw Heikin Ashi calculation is included in order to
allow for a standard bar chart to also give the visual indication of the Heikin Ashi chart type
This allows the trader to maintain the accuracy of price information on the chart that standard candles provide while still being able to reference the smoothed trend calculation of Heikin Ashi candles.
-Updated the script to add smoothing method and length inputs for each indicator.
-Smoothing methods available include the original wma smoothing, as well as sma, ema, dema,
tema, rma, hma, vwma, and t3 moving average calculations.
-Now you can also select the method for calculating the Inverse Fisher Transform using either
the default method of whether the oscillator is above or below the centerline, or to be based
on the oscillator's position in relation to a signal line instead, which can potentially give more
timely and accurate signals.
-The signal line's length and moving average calculation method are also adjustable according to
the same variety as the oscillators themselves. For simplicity the same signal line calculation
will be applied to all oscillators except for the Heikin Ashi since Heikin Ashi is not an oscillator.
In general, a low smoothing input works best for a slower moving average types such as rma and t3 which are my personal preference, while a larger number works better for the faster moving average calculations such as wma, hma, ema, dema, or tema. Though in practice, the combination of different smoothing methods and lengths across the variety of included indicators are greatly variable and can offer a complete trading strategy including long and short term trend analysis as well as volume analysis and Heikin Ashi candle analysis with just this one indicator.
As always, one indicator never guarantees results, which is a problem this script seeks to address, but it still benefits one to look for confirmation from other indicators and methods.
I hope you are able to find this indicator an effect addition to your trading strategy.
