RedK_Fibonacci on Doncian (RedK_FibDC_v1)this is a quick script that gives the ability to plot a simple Doncian Channel with optional Fibonacci levels calculated against the DC channel breadth.
a Doncian channel is simply a channel that represents the highest high and lowest low of the price for a certain period (number of bars) -- the concept of watching these extreme values is the basis of many other technical indicators in chart analysis.
A script like this may come useful for setting entry and exit levels and can be used to plot the DC & Fib levels for a higher resolution than the chart - in the example, we're looking at the DC & its Fib levels for the daily resolution on a 30-min chart.
there are 3 adjustable levels that are set by default to 0.368, 0.618, and 1.272 -- and they can be set to any other levels we need to monitor - not necessarily Fib-based at all - say to determine a possible breakout or breakdown... etc
this script makes use of the "resolution" and "inline / group" features (powers) of Pine :)
Cari dalam skrip untuk "fib"
Currencies %R Heatmap screenerThis script is for Forex combinations of the following currencies: USD, EUR, GBP, JPY, CHF, AUD, NZD, CAD
- It uses security function to get 28 currency pairs, so that it may cost a few seconds to paint.
- It calculates %R of currencies and paint with fib color mentioned on my other script Williams %R Color Map
- Normally fib more currency stronger, and fib less the currency weaker. If too big or too small, considering trend change.
I always put on 3 charts with 1h, 5h ,1D to have a quick view.
A Fibonacci Moving Averages Ribbon Using One PlotThe following script aims to visually reproduce a Fibonacci moving averages ribbon by only using one plot function, the period of the moving average is determined by a number of the Fibonacci sequence. This trick is made possible by computing the value of a moving average at time t with a period determined by a periodic Fibonacci sequence and using plot.style_circles as plot style.
Settings
From Fibonacci Number: Determine the n th Fibonacci number to be used as the lowest moving average period
To Fibonacci Number: Determine the n th Fibonacci number to be used as the highest moving average period, capped at 19 to avoid errors. If you still have errors lower the value.
Src : input series of the moving average.
Details
The first thing we must do is to compute a periodic (repeating) linear sequence n from the number in From Fibonacci Number to the number in To Fibonacci Number , then we get the n th Fibonacci number from the previous sequence using Binet's formula.
To get the moving average we first compute the fib period momentum of the cumulative sum of Src , where fib is the current number of our periodic Fibonnacci sequence, we then divide the result by fib .
If we zoom in we can indeed see that there is only one point per bar.
However, zooming out and using a different color for each point allows us to get something visually similar to a ribbon. Adding more plots would create a visually more accurate result.
This trick is not the most useful in the world, but let's imagine you want to plot a massive ribbon consisting of 1000 moving averages with periods that can be determined by a specific sequence, using this trick would allow you to have the effect of 1000 plots while keeping your script relatively efficient, altho ribbons consisting of lots of moving averages are rarely easy to visualize.
BTC 1D Alerts V1This script contains a variety of key indicator for bitcoin all-in-one and they can be activated individually in the menu. These are meant to be used on the 1D chart for Bitcoin.
1457 Day Moving Average: the bottom of the bitcoin price and arguably the rock bottom price target.
Ichimoku Cloud: a common useful indicator for bitcoin support and resistance.
350ma fibs (21 8 5 3 2 and 1.6) : Signify the tops of each logarthmic rise in bitcoin price. They are generally curving higher over the long term. For halvening #3, the predicted market crash would be after hitting the 350ma x3 fib. Also the 350 ma / 111 ma cross signifies bull market top within about 3 days as well. Using the combination of the 350ma fibs and the 350/111 crosses, reasonably identify when market top is about to occur.
50,120,200 ma: Common moving averages that bitcoin retests during bull market runs. Also, the 50/200 golden and death crosses.
1D EMA Superguppy Ribbons: green = bull market, gray is indeterminate, red = bear market. Very high specificity indicator of bull runs, especially for bitcoin. You can change to 3D candle for even more specificity for a bull market start. Use the 1W for even more specificity. 1D Superguppy is recommended for decisionmaking.
1W EMA21: a very good moving average programmed to be shown on both the daily and weekly candle time. Bitcoin commonly corrects to this repeatedly during past bull runs. Acts as support during bull run and resistance during a bear market.
Steps to identifying a bull market:
1. 50/200 golden cross
2. 1D EMA superguppy green
3. 3D EMA superguppy green (if you prefer more certainty than step 2).
4. Hitting the 1W EMA21 and bouncing off during the bull run signifies corrections.
Once a bull market is identified,
Additional recommended buying and selling techniques:
Indicators:
- Fiblines - to determine retracements from peaks (such as all time high or recent highs)
- Stochastic RSI - 1d, 3d, and 1W SRSI are great time to buy, especially the 1W SRSI which comes much less frequently.
- volumen consolidado - for multi exchange volumes compiled into a single line. I prefer buying on the lowest volume days which generally coincide with dips.
- MACD - somewhat dubious utility but many algorithms are programmed to buy or sell based on this.
Check out the Alerts for golden crosses and 350ma Fib crosses which are invaluable for long term buying planning.
I left this open source so that all the formulas can be understood and verified. Much of it hacked together from other sources but all indicators that are fundamental to bitcoin. I apologize in advance for not attributing all the articles and references... but then again I am making no money off of this anyway.
Fibonacci CloudInspired by Ichimoku Fibonacci Hybrid , this indicator is for those who don't mind a lot of lines. All lines represent Fib ratios: thicker lines are fibs for a longer period, while thinner lines are fibs for a shorter period.
- Dynamic S/R
- Overbought/Oversold zones
- Trend indicator
- Customisable periods
- Fast/Slow crossovers
See what works for you!
FiBB ATR Bands + Dual MAs (Fully Customizable)This script combines Fibonacci ATR deviation bands with two fully customizable moving averages for cross & fill visualization.
Features:
Two cross/fill lines — each can be SMA or EMA, independent source, length, color, and width.
Custom fill between MAs:
Single color or directional (up/down) fill modes.
Fibonacci ATR Bands:
Basis line can be SMA or EMA.
Option to use separate ATR length for band width calculations.
Three Fib ratios (×ATR) with independent on/off toggles for upper and lower lines (6 switches total).
Independent colors for each upper and lower deviation line.
Clean plotting — hides unused elements when toggled off, minimal visual clutter.
Intended use:
Track mean reversion & volatility levels with ATR-based Fib deviations.
Monitor MA crossovers visually with customizable fills.
Flexible enough for swing trading, intraday scalping, or higher timeframe trend analysis.
Reversal Point Dynamics⇋ Reversal Point Dynamics (RPD)
This is not an indicator; it is a complete system for deconstructing the mechanics of a market reversal. Reversal Point Dynamics (RPD) moves far beyond simplistic pattern recognition, venturing into a deep analysis of the underlying forces that cause trends to exhaust, pause, and turn. It is engineered from the ground up to identify high-probability reversal points by quantifying the confluence of market dynamics in real-time.
Where other tools provide a static signal, RPD delivers a dynamic probability. It understands that a true market turning point is not a single event, but a cascade of failing momentum, structural breakdown, and a shift in market order. RPD's core engine meticulously analyzes each of these dynamic components—the market's underlying state, its velocity and acceleration, its degree of chaos (entropy), and its structural framework. These forces are synthesized into a single, unified Probability Score, offering you an unprecedented, transparent view into the conviction behind every potential reversal.
This is not a "black box" system. It is an open-architecture engine designed to empower the discerning trader. Featuring real-time signal projection, an integrated Fibonacci R2R Target Engine, and a comprehensive dashboard that acts as your Dynamics Control Center , RPD gives you a complete, holistic view of the market's state.
The Theoretical Core: Deconstructing Market Dynamics
RPD's analytical power is born from the intelligent synthesis of multiple, distinct theoretical models. Each pillar of the engine analyzes a different facet of market behavior. The convergence of these analyses—the "Singularity" event referenced in the dashboard—is what generates the final, high-conviction probability score.
1. Pillar One: Quantum State Analysis (QSA)
This is the foundational analysis of the market's current state within its recent context. Instead of treating price as a random walk, QSA quantizes it into a finite number of discrete "states."
Formulaic Concept: The engine establishes a price range using the highest high and lowest low over the Adaptive Analysis Period. This range is then divided into a user-defined number of Analysis Levels. The current price is mapped to one of these states (e.g., in a 9-level system, State 0 is the absolute low, and State 8 is the absolute high).
Analytical Edge: This acts as a powerful foundational filter. The engine will only begin searching for reversal signals when the market has reached a statistically stretched, extreme state (e.g., State 0 or 8). The Edge Sensitivity input allows you to control exactly how close to this extreme edge the price must be, ensuring you are trading from points of maximum potential exhaustion.
2. Pillar Two: Price State Roc (PSR) - The Dynamics of Momentum
This pillar analyzes the kinetic forces of the market: its velocity and acceleration. It understands that it’s not just where the price is, but how it got there that matters.
Formulaic Concept: The psr function calculates two derivatives of price.
Velocity: (price - price ). This measures the speed and direction of the current move.
Acceleration: (velocity - velocity ). This measures the rate of change in that speed. A negative acceleration (deceleration) during a strong rally is a critical pre-reversal warning, indicating momentum is fading even as price may be pushing higher.
Analytical Edge: The engine specifically hunts for exhaustion patterns where momentum is clearly decelerating as price reaches an extreme state. This is the mechanical signature of a weakening trend.
3. Pillar Three: Market Entropy Analysis - The Dynamics of Order & Chaos
This is RPD's chaos filter, a concept borrowed from information theory. Entropy measures the degree of randomness or disorder in the market's price action.
Formulaic Concept: The calculateEntropy function analyzes recent price changes. A market moving directionally and smoothly has low entropy (high order). A market chopping back and forth without direction has high entropy (high chaos). The value is normalized between 0 and 1.
Analytical Edge: The most reliable trades occur in low-entropy, ordered environments. RPD uses the Entropy Threshold to disqualify signals that attempt to form in chaotic, unpredictable conditions, providing a powerful shield against whipsaw markets.
4. Pillar Four: The Synthesis Engine & Probability Calculation
This is where all the dynamic forces converge. The final probability score is a weighted calculation that heavily rewards confluence.
Formulaic Concept: The calculateProbability function intelligently assembles the final score:
A Base Score is established from trend strength and entropy.
An Entropy Score adds points for low entropy (order) and subtracts for high entropy (chaos).
A significant Divergence Bonus is awarded for a classic momentum divergence.
RSI & Volume Bonuses are added if momentum oscillators are in extreme territory or a volume spike confirms institutional interest.
MTF & Adaptive Bonuses add further weight for alignment with higher timeframe structure.
Analytical Edge: A signal backed by multiple dynamic forces (e.g., extreme state + decelerating momentum + low entropy + volume spike) will receive an exponentially higher probability score. This is the very essence of analyzing reversal point dynamics.
The Command Center: Mastering the Inputs
Every input is a precise lever of control, allowing you to fine-tune the RPD engine to your exact trading style, market, and timeframe.
🧠 Core Algorithm
Predictive Mode (Early Detection):
What It Is: Enables the engine to search for potential reversals on the current, unclosed bar.
How It Works: Analyzes intra-bar acceleration and state to identify developing exhaustion. These signals are marked with a ' ? ' and are tentative.
How To Use It: Enable for scalping or very aggressive day trading to get the earliest possible indication. Disable for swing trading or a more conservative approach that waits for full bar confirmation.
Live Signal Mode (Current Bar):
What It Is: A highly aggressive mode that plots tentative signals with a ' ! ' on the live bar based on projected price and momentum. These signals repaint intra-bar.
How It Works: Uses a linear regression projection of the close to anticipate a reversal.
How To Use It: For advanced users who use intra-bar dynamics for execution and understand the nature of repainting signals.
Adaptive Analysis Period:
What It Is: The main lookback period for the QSA, PSR, and Entropy calculations. This is the engine's "memory."
How It Works: A shorter period makes the engine highly sensitive to local price swings. A longer period makes it focus only on major, significant market structure.
How To Use It: Scalping (1-5m): 15-25. Day Trading (15m-1H): 25-40. Swing Trading (4H+): 40-60.
Fractal Strength (Bars):
What It Is: Defines the strength of the pivot detection used for confirming reversal events.
How It Works: A value of '2' requires a candle's high/low to be more extreme than the two bars to its left and right.
How To Use It: '2' is a robust standard. Increase to '3' for an even stricter definition of a structural pivot, which will result in fewer signals.
MTF Multiplier:
What It Is: Integrates pivot data from a higher timeframe for confluence.
How It Works: A multiplier of '4' on a 15-minute chart will pull pivot data from the 1-hour chart (15 * 4 = 60m).
How To Use It: Set to a multiple that corresponds to your preferred higher timeframe for contextual analysis.
🎯 Signal Settings
Min Probability %:
What It Is: Your master quality filter. A signal is only plotted if its score exceeds this threshold.
How It Works: Directly filters the output of the final probability calculation.
How To Use It: High-Quality (80-95): For A+ setups only. Balanced (65-75): For day trading. Aggressive (50-60): For scalping.
Min Signal Distance (Bars):
What It Is: A noise filter that prevents signals from clustering in choppy conditions.
How It Works: Enforces a "cooldown" period of N bars after a signal.
How To Use It: Increase in ranging markets to focus on major swings. Decrease on lower timeframes.
Entropy Threshold:
What It Is: Your "chaos shield." Sets the maximum allowable market randomness for a signal.
How It Works: If calculated entropy is above this value, the signal is invalidated.
How To Use It: Lower values (0.1-0.5): Extremely strict. Higher values (0.7-1.0): More lenient. 0.85 is a good balance.
Adaptive Entropy & Aggressive Mode:
What It Is: Toggles for dynamically adjusting the engine's core parameters.
How It Works: Adaptive Entropy can slightly lower the required probability in strong trends. Aggressive Mode uses more lenient settings across the board.
How To Use It: Keep Adaptive on. Use Aggressive Mode sparingly, primarily for scalping highly volatile assets.
📊 State Analysis
Analysis Levels:
What It Is: The number of discrete "states" for the QSA.
How It Works: More levels create a finer-grained analysis of price location.
How To Use It: 6-7 levels are ideal. Increasing to 9 can provide more precision on very volatile assets.
Edge Sensitivity:
What It Is: Defines how close to the absolute top/bottom of the range price must be.
How It Works: '0' means price must be in the absolute highest/lowest state. '3' allows a signal within the top/bottom 3 states.
How To Use It: '3' provides a good balance. Lower it to '1' or '0' if you only want to trade extreme exhaustion.
The Dashboard: Your Dynamics Control Center
The dashboard provides a transparent, real-time view into the engine's brain. Use it to understand the context behind every signal and to gauge the current market environment at a glance.
🎯 UNIFIED PROB SCORE
TOTAL SCORE: The highest probability score (either Peak or Valley) the engine is currently calculating. This is your main at-a-glance conviction metric. The "Singularity" header refers to the event where market dynamics align—the event RPD is built to detect.
Quality: A human-readable interpretation of the Total Score. "EXCEPTIONAL" (🌟) is a rare, A+ confluence event. "STRONG" (💪) is a high-quality, tradable setup.
📊 ORDER FLOW & COMPONENT ANALYSIS
Volume Spike: Shows if the current volume is significantly higher than average (YES/NO). A 'YES' adds major confirmation.
Peak/Valley Conf: This breaks down the probability score into its directional components, showing you the separate confidence levels for a potential top (Peak) versus a bottom (Valley).
🌌 MARKET STRUCTURE
HTF Trend: Shows the direction of the underlying trend based on a Supertrend calculation.
Entropy: The current market chaos reading. "🔥 LOW" is an ideal, ordered state for trading. "😴 HIGH" is a warning of choppy, unpredictable conditions.
🔮 FIB & R2R ZONE (Large Dashboard)
This section gives you the status of the Fibonacci Target Engine. It shows if an Active Channel (entry zone) or Stop Zone (invalidation zone) is active and displays the precise price levels for the static entry, target, and stop calculated at the time of the signal.
🛡️ FILTERS & PREDICTIVES (Large Dashboard)
This panel provides a status check on all the bonus filters. It shows the current RSI Status, whether a Divergence is present, and if a Live Pending signal is forming.
The Visual Interface: A Symphony of Data
Every visual element is designed for instant, intuitive interpretation of market dynamics.
Signal Markers: These are the primary outputs of the engine.
▼/▲ b: A fully confirmed signal that has passed all filters.
? b: A tentative signal generated in Predictive Mode, indicating developing dynamics.
◈ b: This diamond icon replaces the standard triangle when the signal is confirmed by a strong momentum divergence, highlighting it as a superior setup where dynamics are misaligned with price.
Harmonic Wave: The flowing, colored wave around the price.
What It Represents: The market's "flow dynamic" and volatility.
How to Interpret It: Expanding waves show increasing volatility. The color is tied to the "Quantum Color" in your theme, representing the underlying energy field of the market.
Entropy Particles: The small dots appearing above/below price.
What They Represent: A direct visualization of the "order dynamic."
How to Interpret Them: Their presence signifies a low-entropy, ordered state ideal for trading. Their color indicates the direction of momentum (PSR velocity). Their absence means the market is too chaotic (high entropy).
The Fibonacci Target Engine: The dynamic R2R system appearing post-signal.
Static Fib Levels: Colored horizontal lines representing the market's "structural dynamic."
The Green "Active Channel" Box: Your zone of consideration. An area to manage a potential entry.
Development Philosophy
Reversal Point Dynamics was engineered to answer a fundamental question: can we objectively measure the forces behind a market turn? It is a synthesis of concepts from market microstructure, statistics, and information theory. The objective was never to create a "perfect" system, but to build a robust decision-support tool that provides a measurable, statistical edge by focusing on the principle of confluence.
By demanding that multiple, independent market dynamics align simultaneously, RPD filters out the vast majority of market noise. It is designed for the trader who thinks in terms of probability and risk management, not in terms of certainties. It is a tool to help you discount the obvious and bet on the unexpected alignment of market forces.
"Markets are constantly in a state of uncertainty and flux and money is made by discounting the obvious and betting on the unexpected."
— George Soros
Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
Smart MTF S/R Levels[BullByte]
Smart MTF S/R Levels
Introduction & Motivation
Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges:
Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent.
Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities.
Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones.
What Makes This Indicator Unique?
Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe.
Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system.
Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus.
Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas.
Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance.
Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price.
Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity.
Why Should a Trader Use This?
Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering.
Efficiency: Saves hours of manual charting and reduces analysis fatigue.
Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe.
Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management.
Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position).
The Gap This Indicator Fills
Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by:
Automating S/R detection across multiple timeframes and methods
Objectively scoring and ranking zones by confluence and reaction
Presenting all this information in a clear, actionable dashboard
How Does It Work? (Technical Logic)
1. Level Detection
For each selected timeframe, the script detects S/R levels using:
SW (Swing High/Low): Recent price pivots where reversals occurred.
Pivot: Classic floor trader pivots (P, S1, R1).
Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars.
Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns.
VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars.
2. Level Clustering
Levels within a user-defined % distance are merged into a single “zone.”
Each zone records which methods and timeframes contributed to it.
3. Confluence & Reaction Scoring
Confluence: The number of unique methods/timeframes in agreement for a zone.
Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback).
4. Filtering & Sorting
Only zones within a user-defined % of the current price are shown (to focus on actionable areas).
Zones can be sorted by confluence, reaction count, or proximity to price.
5. Visualization
Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed).
Lines: Mark the exact level of each zone.
Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Lists all nearby zones with full details.
6. Alerts
Optional alerts trigger when price approaches a zone with confluence above a user-set threshold.
Inputs & Customization (Explained for All Users)
Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h).
Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include.
Show levels within X% of price: Only display zones near the current price (default: 3%).
How many swing highs/lows to show: Number of recent swings to include (default: 3).
Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%).
Show Top N Zones: Limit the number of zones displayed (default: 8).
Bars to check for reactions: How far back to count price reactions (default: 100).
Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance).
Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3).
Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels.
Dashboard Size/Location: Customize the dashboard table.
How to Read the Output
Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed).
Lines: Mark the precise level of each zone.
Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Columns include:
Level: Price of the zone
Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below)
Type: Support, Resistance, or Mixed
Confl.: Confluence score (higher = more significant)
React.: Number of recent price reactions
Dist %: Distance from current price (in %)
Abbreviations Used
SW = Swing High/Low (recent price pivots where reversals occurred)
Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786)
VWAP = Volume Weighted Average Price (price level weighted by volume)
POC = Point of Control (price level with the highest traded volume)
Bull OB = Bullish Order Block (institutional support zone from bullish price action)
Bear OB = Bearish Order Block (institutional resistance zone from bearish price action)
Pivot = Pivot Point (classic floor trader pivots: P, S1, R1)
These abbreviations appear in the dashboard and chart labels for clarity.
Example: How to Read the Dashboard and Labels (from the chart above)
Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection:
Resistance zone at 119257.11:
The dashboard shows:
5m (1 SW), 15m (2 SW), 1h (3 SW)
This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes.
Mixed zone at 118767.97:
The dashboard shows:
5m (2 SW), 15m (2 SW)
This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone.
Support zone at 117411.35:
The dashboard shows:
5m (2 SW), 1h (2 SW)
This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level.
Mixed zone at 118291.45:
The dashboard shows:
15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP)
This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level.
Support zone at 117103.10:
The dashboard shows:
15m (1 SW), 1h (1 SW)
This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level.
Resistance zone at 117899.33:
The dashboard shows:
5m (1 SW)
This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level.
How to use this:
Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts.
Tip:
“SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price.
The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe.
Best Practices & Recommendations
Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management.
Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility.
Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant.
Limitations
No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react.
Not a Standalone System: Should be used as part of a broader trading plan.
Historical Data: Reaction counts are based on historical price action and may not always repeat.
Disclaimer
This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
Order-Flow Market StructureOrder-Flow Market Structure by The_Forex_Steward
A precision tool for visualizing internal shifts, swing structure, BOS events, Fibonacci levels, and multi-timeframe alerts.
What It Does
The Order-Flow Market Structure indicator intelligently tracks and visualizes price structure using higher timeframe candles. It automatically detects:
• Internal bullish and bearish structure shifts
• Swing highs and lows (HH, HL, LH, LL)
• Break of Structure (BoS) confirmations
• Fibonacci retracement levels from recent swing moves
• Real-time alerts across LTF, MTF, and HTF modes
It’s a complete tool for traders who follow Smart Money Concepts, ICT, or institutional price action strategies.
How It Works
• You select a Higher Timeframe (HTF) to set the structural context
• Internal shifts are identified using HTF candle closes
• The indicator scans for swing highs/lows after each internal shift
• Breaks of previous swing points confirm BoS and plot horizontal lines
• Zigzag lines visually connect structural points (swings and BoS)
• Fibonacci levels are drawn between the latest swings
• Alerts can be configured for structure shifts, BoS events, and fib level breaks
How to Use It
Set your preferred HTF (e.g., 1H while trading on 5-minute)
Enable Fibonacci levels to visualize retracement zones
Watch for:
• Bullish internal shifts → HL to HH
• Bearish internal shifts → LH to LL
• BOS → Breakout confirmation
Enable alerts to catch structural events in real-time
Adjust the "Safe History Offset" if working with long lookbacks or volatile assets
Who It's For
• Traders using Smart Money, ICT, or market structure-based systems
• Scalpers, day traders, and swing traders
• Anyone needing precise structural insight across multiple timeframes
Features
• BoS detection with custom line styles and width
• HH, HL, LH, LL label plotting
• Optional Fibonacci retracement zones
• Custom alerts for swing shifts and fib level breaks
• LTF, MTF, and HTF alert modes
Stay aligned with structure, trade with precision, and get alerted to key shifts in real time.
Heatmap Trailing Stop with Breakouts (Zeiierman)█ Overview
Heatmap Trailing Stop with Breakouts (Zeiierman) is a trend and breakout detection tool that combines dynamic trailing stop logic, Fibonacci-based levels, and a real-time market heatmap into a single, intuitive system.
This indicator is designed to help traders visualize pressure zones, manage stop placement, and identify breakout opportunities supported by contextual price–derived heat. Whether you're trailing trends, detecting reversals, or entering on explosive breakouts — this tool keeps you anchored in structure and sentiment.
It projects adaptive trailing stop levels and calculates Fibonacci extensions from swing-based extremes. These levels are then colored by a market heatmap engine that tracks price interaction intensity — showing where the market is "hot" and likely to respond.
On top of that, it includes breakout signals powered by HTF momentum conditions, trend direction, and heatmap validation — giving you signals only when the context is strong.
█ How It Works
⚪ Trailing Stop Engine
At its core, the script uses an ATR-based trailing stop with trend detection:
ATR Length – Defines volatility smoothing using EMA MA of true range.
Multiplier – Expands/retracts the trailing offset depending on market aggression.
Real-Time Extremum Tracking – Uses local highs/lows to define Fibonacci anchors.
⚪ Fibonacci Projection + Heatmap
With each trend shift, Fibonacci levels are projected from the new swing to the current trailing stop. These include:
Fib 61.8, 78.6, 88.6, and 100% (trailing stop) lines
Heatmap Coloring – Each level'slevel's color is determined by how frequently price has interacted with that level in the recent range (defined by ATR).
Strength Score (1–10) – The number of touches per level is normalized and averaged to create a heatmap ""score"" displayed as a colored bar on the chart.
⚪ Breakout Signal System
This engine detects high-confidence breakout signals using a higher timeframe candle structure:
Bullish Breakout – Strong bullish candle + momentum + trend confirmation + heatmap score threshold.
Bearish Breakout – Strong bearish candle + momentum + trend confirmation + heatmap score threshold.
Cooldown Logic – Prevents signals from clustering too frequently during volatile periods.
█ How to Use
⚪ Trend Following & Trail Stops
Use the Trailing Stop line to manage positions or time entries in line with trend direction. Trailing stop flips are highlighted with dot markers.
⚪ Fibonacci Heat Zones
The projected Fibonacci levels serve as price magnets or support/resistance zones. Watch how price reacts at Fib 61.8/78.6/88.6 levels — especially when they're glowing with high heatmap scores (more glow = more historical touches = stronger significance).
⚪ Breakout Signals
Enable breakout signals when you want to trade breakouts only under strong context. Use the "Heatmap Strength Threshold" to require a minimum score (1–10).
█ Settings
Stop Distance ATR Length – ATR period for volatility smoothing
Stop Distance Multiplier – Adjusts the trailing stop'sstop's distance from price
Heatmap Range ATR Length – Defines how far back the heatmap scans for touches
Number of Heat Levels – Total levels used in the heatmap (more = finer resolution)
Minimum Touches per Level – Defines what counts as a ""hot"" level
Heatmap Strength Threshold – Minimum average heat score (1–10) required for breakouts
Timeframe – HTF source used to evaluate breakout momentum structure
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Fibonacci Optimal Entry Zone [OTE] (Zeiierman)█ Overview
Fibonacci Optimal Entry Zone (Zeiierman) is a high-precision market structure tool designed to help traders identify ideal entry zones during trending markets. Built on the principles of Smart Money Concepts (SMC) and Fibonacci retracements, this indicator highlights key areas where price is most likely to react — specifically within the "Golden Zone" (between the 50% and 61.8% retracement).
It tracks structural pivot shifts (CHoCH) and dynamically adjusts Fibonacci levels based on real-time swing tracking. Whether you're trading breakouts, pullbacks, or optimal entries, this tool brings unparalleled clarity to structure-based strategies.
Ideal for traders who rely on confluence, this indicator visually synchronizes swing highs/lows, market structure shifts, Fibonacci retracement levels, and trend alignment — all without clutter or lag.
⚪ The Structural Assumption
Price moves in waves, but key retracements often lead to continuation or reversal — especially when aligned with structure breaks and trend shifts.
The Optimal Entry Zone captures this behavior by anchoring Fibonacci levels between recent swing extremes. The most powerful area — the Golden Zone — marks where institutional re-entry is likely, providing traders with a sniper-like roadmap to structure-based entries.
█ How It Works
⚪ Structure Tracking Engine
At its core, the indicator detects pivots and classifies trend direction:
Structure Period – Determines the depth of pivots used to detect swing highs/lows.
CHoCH – Break of structure logic identifies where the trend shifts or continues, marked visually on the chart.
Bullish & Bearish Modes – Independently toggle uptrend and downtrend detection and styling.
⚪ Fibonacci Engine
Upon each confirmed structural shift, Fibonacci retracement levels are projected between swing extremes:
Custom Levels – Choose which retracements (0.50, 0.618, etc.) are shown.
Real-Time Adjustments – When "Swing Tracker" is enabled, levels and labels update dynamically as price forms new swings.
Example:
If you disable the Swing Tracker, the Golden Level is calculated using the most recent confirmed swing high and low.
If you enable the Swing Tracker, the Golden Level is calculated from the latest swing high or low, making it more adaptive as the trend evolves in real time.
█ How to Use
⚪ Structure-Based Entry
Wait for CHoCH events and use the resulting Fibonacci projection to identify entry points. Enter trades as price taps into the Golden Zone, especially when confluence forms with swing structure or order blocks.
⚪ Real-Time Reaction Tracking
Enable Swing Tracker to keep the tool live — constantly updating zones as price shifts. This is especially useful for scalpers or intraday traders who rely on fresh swing zones.
█ Settings
Structure Period – Number of bars used to define swing pivots. Larger values = stronger structure.
Swing Tracker – Auto-updates fib levels as new highs/lows form.
Show Previous Levels – Keep older fib zones on chart or reset with each structure shift.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Liquidity Engulfing (Nephew_Sam_)🔥 Liquidity Engulfing Multi-Timeframe Detector
This indicator finds engulfing bars which have swept liquidity from its previous candle. You can use it across 6 timeframes with fibonacci entries.
⚡ Key Features
6 Customizable Timeframes - Complete market structure analysis
Smart Liquidity Detection - Finds patterns that sweep liquidity then reverse
Real-Time Status Table - Confirmed vs unconfirmed patterns with color coding
Fibonacci Integration - 5 customizable fib levels for precise entries
HTF → LTF Strategy - Spot reversals on higher timeframes, enter on lower timeframe fibs
📈 Engulfing Rules
Bullish: Current candle bullish + previous bearish + current low < previous low + current close > previous open
Bearish: Current candle bearish + previous bullish + current high > previous high + current close < previous open
LANZ Strategy 3.0🔷 LANZ Strategy 3.0 — Asian Range Fibonacci Strategy with Execution Window Logic
LANZ Strategy 3.0 is a rule-based trading system that utilizes the Asian session range to project Fibonacci levels and manage entries during a defined execution window. Designed for Forex and index traders, this strategy focuses on structured price behavior around key levels before the New York session.
🧠 Core Components:
Asian Session Range Mapping: Automatically detects the high, low, and midpoint during the Asian session.
Fibonacci Level Projection: Projects configurable Fibonacci retracement and extension levels based on the Asian range.
Execution Window Logic: Uses the 01:15 NY candle as a reference to validate potential reversals or continuation setups.
Conditional Entry System: Includes logic for limit order entries (buy or sell) at specific Fib levels, with reversal logic if price breaks structure before execution.
Risk Management: Entry orders are paired with dynamic SL and TP based on Fibonacci-based distances, maintaining a risk-reward ratio consistent with intraday strategies.
📊 Visual Features:
Asian session high/low/mid lines.
Fibonacci levels: Original (based on raw range) and Optimized (user-adjustable).
Session background coloring for Asia, Execution Window, and NY session.
Labels and lines for entry, SL, and TP targets.
Dynamic deletion of untriggered orders after execution window expires.
⚙️ How It Works:
The script calculates the Asian session range.
Projects Fibonacci levels from the range.
Waits for the 01:15 NY candle to close to validate a signal.
If valid, a limit entry order (BUY or SELL) is plotted at the selected level.
If price structure changes (e.g., breaks the high/low), reversal logic may activate.
If no trade is triggered, orders are cleared before the NY session.
🔔 Alerts:
Alerts trigger when a valid setup appears after 01:15 NY candle.
Optional alerts for order activation, SL/TP hit, or trade cancellation.
📝 Notes:
Intended for semi-automated or discretionary trading.
Best used on highly liquid markets like Forex majors or indices.
Script parameters include session times, Fib ratios, SL/TP settings, and reversal logic toggle.
Credits:
Developed by LANZ, this script merges traditional session-based analysis with Fibonacci tools and structured execution timing, offering a unique framework for morning volatility plays.
Smart Range DetectorSmart Range Detector
What It Does
This indicator automatically detects and validates significant trading ranges using pivot point analysis combined with logarithmic fibonacci relationships. It operates by identifying specific pivot patterns (High-Low-High and Low-High-Low) that meet fibonacci validation criteria to filter out noise and highlight only the most reliable trading ranges. Each range is continuously monitored for potential mitigation (breakout) events.
Key Features
Identifies both High-Low-High and Low-High-Low range patterns
Validates each range using logarithmic fibonacci relationships (more accurate than linear fibs)
Detects range mitigations (breakouts) and visually differentiates them
Shows fibonacci levels within ranges (25%, 50%, 75%) for potential reversal points
Visualizes extension levels beyond ranges for breakout targets
Analyzes volume profile with customizable price divisions (default: 60)
Displays Point of Control (POC) and Value Area for traded volume analysis
Implements performance optimization with configurable range limits
Includes user-adjustable safety checks to prevent Pine Script limitations
Offers fully customizable colors, line widths, and transparency settings
How To Use It
Identify Valid Ranges : The indicator automatically detects and highlights trading ranges that meet fibonacci validation criteria
Monitor Fibonacci Levels : Watch for price reactions at internal fib levels (25%, 50%, 75%) for potential reversal opportunities
Track Extension Targets : Use the extension lines as potential targets when price breaks out of a range
Analyze Volume Structure : Enable the volume profile mode to see where most volume was traded within mitigated ranges
Trade Range Boundaries : Look for reactions at range highs/lows combined with volume POC for higher probability entries
Manage Performance : Adjust the maximum displayed ranges and history bars settings for optimal chart performance
Settings Guide
Left/Right Bars Look Back : Controls how far back the indicator looks to identify pivot points (higher values find more ranges but may reduce sensitivity)
Max History Bars : Limits how far back in history the indicator will analyze (stays within Pine Script's 10,000 bar limitation)
Max Ranges to Display : Restricts the total number of ranges kept in memory for improved performance (1-50)
Volume Profile : When enabled, shows volume distribution analysis for mitigated ranges
Volume Profile Divisions : Controls the granularity of the volume analysis (higher values show more detail)
Display Options : Toggle visibility of range lines, fibonacci levels, extension lines, and volume analysis elements
Transparency & Color Settings : Fully customize the visual appearance of all indicator elements
Line Width Settings : Adjust the thickness of lines for better visibility on different timeframes
Technical Details
The indicator uses logarithmic fibonacci calculations for more accurate price relationships
Volume profile analysis creates 60 price divisions by default (adjustable) for detailed volume distribution
All timestamps are properly converted to work with Pine Script's bar limitations
Safety checks prevent "array index out of bounds" errors that plague many complex indicators
Time-based coordinates are used instead of bar indices to prevent "bar index too far" errors
This indicator works well on all timeframes and instruments, but performs best on 5-minute to daily charts. Perfect for swing traders, range traders, and breakout strategists.
What Makes It Different
Most range indicators simply draw boxes based on recent highs and lows. Smart Range Detector validates each potential range using proven fibonacci relationships to filter out noise. It then adds sophisticated volume analysis to help traders identify the most significant price levels within each range. The performance optimization features ensure smooth operation even on lower timeframes and extended history analysis.
Multi-Fibonacci Trend Average[FibonacciFlux]Multi-Fibonacci Trend Average (MFTA): An Institutional-Grade Trend Confluence Indicator for Discerning Market Participants
My original indicator/Strategy:
Engineered for the sophisticated demands of institutional and advanced traders, the Multi-Fibonacci Trend Average (MFTA) indicator represents a paradigm shift in technical analysis. This meticulously crafted tool is designed to furnish high-definition trend signals within the complexities of modern financial markets. Anchored in the rigorous principles of Fibonacci ratios and augmented by advanced averaging methodologies, MFTA delivers a granular perspective on trend dynamics. Its integration of Multi-Timeframe (MTF) filters provides unparalleled signal robustness, empowering strategic decision-making with a heightened degree of confidence.
MFTA indicator on BTCUSDT 15min chart with 1min RSI and MACD filters enabled. Note the refined signal generation with reduced noise.
MFTA indicator on BTCUSDT 15min chart without MTF filters. While capturing more potential trading opportunities, it also generates a higher frequency of signals, including potential false positives.
Core Innovation: Proprietary Fibonacci-Enhanced Supertrend Averaging Engine
The MFTA indicator’s core innovation lies in its proprietary implementation of Supertrend analysis, strategically fortified by Fibonacci ratios to construct a truly dynamic volatility envelope. Departing from conventional Supertrend methodologies, MFTA autonomously computes not one, but three distinct Supertrend lines. Each of these lines is uniquely parameterized by a specific Fibonacci factor: 0.618 (Weak), 1.618 (Medium/Golden Ratio), and 2.618 (Strong/Extended Fibonacci).
// Fibonacci-based factors for multiple Supertrend calculations
factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval=0.01, step=0.01, tooltip='Factor 1 (Weak/Fibonacci)', group="Fibonacci Supertrend")
factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval=0.01, step=0.01, tooltip='Factor 2 (Medium/Golden Ratio)', group="Fibonacci Supertrend")
factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval=0.01, step=0.01, tooltip='Factor 3 (Strong/Extended Fib)', group="Fibonacci Supertrend")
This multi-faceted architecture adeptly captures a spectrum of market volatility sensitivities, ensuring a comprehensive assessment of prevailing conditions. Subsequently, the indicator algorithmically synthesizes these disparate Supertrend lines through arithmetic averaging. To achieve optimal signal fidelity and mitigate inherent market noise, this composite average is further refined utilizing an Exponential Moving Average (EMA).
// Calculate average of the three supertends and a smoothed version
superlength = input.int(21, 'Smoothing Length', tooltip='Smoothing Length for Average Supertrend', group="Fibonacci Supertrend")
average_trend = (supertrend1 + supertrend2 + supertrend3) / 3
smoothed_trend = ta.ema(average_trend, superlength)
The resultant ‘Smoothed Trend’ line emerges as a remarkably responsive yet stable trend demarcation, offering demonstrably superior clarity and precision compared to singular Supertrend implementations, particularly within the turbulent dynamics of high-volatility markets.
Elevated Signal Confluence: Integrated Multi-Timeframe (MTF) Validation Suite
MFTA transcends the limitations of conventional trend indicators by incorporating an advanced suite of three independent MTF filters: RSI, MACD, and Volume. These filters function as sophisticated validation protocols, rigorously ensuring that only signals exhibiting a confluence of high-probability factors are brought to the forefront.
1. Granular Lower Timeframe RSI Momentum Filter
The Relative Strength Index (RSI) filter, computed from a user-defined lower timeframe, furnishes critical momentum-based signal validation. By meticulously monitoring RSI dynamics on an accelerated timeframe, traders gain the capacity to evaluate underlying momentum strength with precision, prior to committing to signal execution on the primary chart timeframe.
// --- Lower Timeframe RSI Filter ---
ltf_rsi_filter_enable = input.bool(false, title="Enable RSI Filter", group="MTF Filters", tooltip="Use RSI from lower timeframe as a filter")
ltf_rsi_timeframe = input.timeframe("1", title="RSI Timeframe", group="MTF Filters", tooltip="Timeframe for RSI calculation")
ltf_rsi_length = input.int(14, title="RSI Length", minval=1, group="MTF Filters", tooltip="Length for RSI calculation")
ltf_rsi_threshold = input.int(30, title="RSI Threshold", minval=0, maxval=100, group="MTF Filters", tooltip="RSI value threshold for filtering signals")
2. Convergent Lower Timeframe MACD Trend-Momentum Filter
The Moving Average Convergence Divergence (MACD) filter, also calculated on a lower timeframe basis, introduces a critical layer of trend-momentum convergence confirmation. The bullish signal configuration rigorously mandates that the MACD line be definitively positioned above the Signal line on the designated lower timeframe. This stringent condition ensures a robust indication of converging momentum that aligns synergistically with the prevailing trend identified on the primary timeframe.
// --- Lower Timeframe MACD Filter ---
ltf_macd_filter_enable = input.bool(false, title="Enable MACD Filter", group="MTF Filters", tooltip="Use MACD from lower timeframe as a filter")
ltf_macd_timeframe = input.timeframe("1", title="MACD Timeframe", group="MTF Filters", tooltip="Timeframe for MACD calculation")
ltf_macd_fast_length = input.int(12, title="MACD Fast Length", minval=1, group="MTF Filters", tooltip="Fast EMA length for MACD")
ltf_macd_slow_length = input.int(26, title="MACD Slow Length", minval=1, group="MTF Filters", tooltip="Slow EMA length for MACD")
ltf_macd_signal_length = input.int(9, title="MACD Signal Length", minval=1, group="MTF Filters", tooltip="Signal SMA length for MACD")
3. Definitive Volume Confirmation Filter
The Volume Filter functions as an indispensable arbiter of trade conviction. By establishing a dynamic volume threshold, defined as a percentage relative to the average volume over a user-specified lookback period, traders can effectively ensure that all generated signals are rigorously validated by demonstrably increased trading activity. This pivotal validation step signifies robust market participation, substantially diminishing the potential for spurious or false breakout signals.
// --- Volume Filter ---
volume_filter_enable = input.bool(false, title="Enable Volume Filter", group="MTF Filters", tooltip="Use volume level as a filter")
volume_threshold_percent = input.int(title="Volume Threshold (%)", defval=150, minval=100, group="MTF Filters", tooltip="Minimum volume percentage compared to average volume to allow signal (100% = average)")
These meticulously engineered filters operate in synergistic confluence, requiring all enabled filters to definitively satisfy their pre-defined conditions before a Buy or Sell signal is generated. This stringent multi-layered validation process drastically minimizes the incidence of false positive signals, thereby significantly enhancing entry precision and overall signal reliability.
Intuitive Visual Architecture & Actionable Intelligence
MFTA provides a demonstrably intuitive and visually rich charting environment, meticulously delineating trend direction and momentum through precisely color-coded plots:
Average Supertrend: Thin line, green/red for uptrend/downtrend, immediate directional bias.
Smoothed Supertrend: Bold line, teal/purple for uptrend/downtrend, cleaner, institutionally robust trend.
Dynamic Trend Fill: Green/red fill between Supertrends quantifies trend strength and momentum.
Adaptive Background Coloring: Light green/red background mirrors Smoothed Supertrend direction, holistic trend perspective.
Precision Buy/Sell Signals: ‘BUY’/‘SELL’ labels appear on chart when trend touch and MTF filter confluence are satisfied, facilitating high-conviction trade action.
MFTA indicator applied to BTCUSDT 4-hour chart, showcasing its effectiveness on higher timeframes. The Smoothed Length parameter is increased to 200 for enhanced smoothness on this timeframe, coupled with 1min RSI and Volume filters for signal refinement. This illustrates the indicator's adaptability across different timeframes and market conditions.
Strategic Applications for Institutional Mandates
MFTA’s sophisticated design provides distinct advantages for advanced trading operations and institutional investment mandates. Key strategic applications include:
High-Probability Trend Identification: Fibonacci-averaged Supertrend with MTF filters robustly identifies high-probability trend continuations and reversals, enhancing alpha generation.
Precision Entry/Exit Signals: Volume and momentum-filtered signals enable institutional-grade precision for optimized risk-adjusted returns.
Algorithmic Trading Integration: Clear signal logic facilitates seamless integration into automated trading systems for scalable strategy deployment.
Multi-Asset/Timeframe Versatility: Adaptable parameters ensure applicability across diverse asset classes and timeframes, catering to varied trading mandates.
Enhanced Risk Management: Superior signal fidelity from MTF filters inherently reduces false signals, supporting robust risk management protocols.
Granular Customization and Parameterized Control
MFTA offers unparalleled customization, empowering users to fine-tune parameters for precise alignment with specific trading styles and market conditions. Key adjustable parameters include:
Fibonacci Factors: Adjust Supertrend sensitivity to volatility regimes.
ATR Length: Control volatility responsiveness in Supertrend calculations.
Smoothing Length: Refine Smoothed Trend line responsiveness and noise reduction.
MTF Filter Parameters: Independently configure timeframes, lookback periods, and thresholds for RSI, MACD, and Volume filters for optimal signal filtering.
Disclaimer
MFTA is meticulously engineered for high-quality trend signals; however, no indicator guarantees profit. Market conditions are unpredictable, and trading involves substantial risk. Rigorous backtesting and forward testing across diverse datasets, alongside a comprehensive understanding of the indicator's logic, are essential before live deployment. Past performance is not indicative of future results. MFTA is for informational and analytical purposes only and is not financial or investment advice.
AutoFibGauge (TechnoBlooms) AutoFibGauge help users to understand Fibonacci retracement with auto-drawn levels from previous candes, dual moving average crossover for trend confirmation, and a thermometer for quick Fib level identification.
This indicator is designed to streamline your trading decisions. By automatically plotting the Fibonacci levels based on previous candles, it aids in identifying key support and resistance zones. User can choose the number of previous candles for which the Fibonacci is calculated.
Paired with a dual moving average crossover system for robust trend confirmation, this tools helps in aligning with the market's direction.
A dynamic thermometer display that instantly highlights critical Fib levels, making it easier than ever to spot opportunities at a glance.
Mxwll Price Action Suite [Mxwll]Introducing the Mxwll Price Action Suite!
The Mxwll Price Action Suite is an all-in-one analysis indicator incorporating elements of SMC and also ideas extending beyond the trading methodology!
Features
Internal structures
External structures
Customizable Sensitivities
BoS/CHoCH
Order Blocks
HH/LH/LL/LH Areas
Rolling TF highs/lows
Rolling Volume Comparisons
Auto Fibs
And more!
The image above shows the indicator's market structure identification capabilities. Internal BoS and CHoCH structures in addition to overarching market structures are available with customizable sensitivities.
The image above shows the indicator identifying order blocks! Additionally, HH/LH/LL/LH areas are also identified.
The image above shows a rolling area of interest. These areas can be compared to supply/demand zones, where traders might consider a bargain long/short/sell area.
The indicator displays a rolling 4hr high/low and 1D high/low, alongside auto fibonacci levels with a customizable sensitivity.
Finally, the Mxwll Price Action Suite shows relevant session information.
Table information
Current Session
Countdown to session close
Next Session
Countdown to next session open
Rolling 4-Hr volume intensity
Rolling 24-Hr volume intensity
Introducing the Mxwll SMC Suite!
The Mxwll SMC Suite is an all-in-one analysis indicator incorporating elements of SMC and also ideas extending beyond the trading methodology!
Features
Internal structures
External structures
Customizable Sensitivities
BoS/CHoCH
Order Blocks
HH/LH/LL/LH Areas
Rolling TF highs/lows
Rolling Volume Comparisons
Auto Fibs
And more!
The image above shows the indicator's market structure identification capabilities. Internal BoS and CHoCH structures in addition to overarching market structures are available with customizable sensitivities.
The image above shows the indicator identifying order blocks! Additionally, HH/LH/LL/LH areas are also identified.
The image above shows a rolling area of interest. These areas can be compared to supply/demand zones, where traders might consider a bargain long/short/sell area.
The indicator displays a rolling 4hr high/low and 1D high/low, alongside auto fibonacci levels with a customizable sensitivity.
Finally, the Mxwll Price Action Suite shows relevant session information.
Table information
Current Session
Countdown to session close
Next Session
Countdown to next session open
Rolling 4-Hr volume intensity
Rolling 24-Hr volume intensity
Expanded Features of Mxwll Price Action Suite
Internal and External Structures
Internal Structures: These elements refer to the price formations and patterns that occur within a smaller scope or a specific trading session. The suite can detect intricate details like minor support/resistance levels or short-term trend reversals.
External Structures: These involve larger, more significant market patterns and trends spanning multiple sessions or time frames. This capability helps traders understand overarching market directions.
Customizable Sensitivities
Adjusting sensitivity settings allows users to tailor the indicator's responsiveness to market changes. Higher sensitivity can catch smaller fluctuations, while lower sensitivity might focus on more significant, reliable market moves.
Break of Structure (BoS) and Change of Character (CHoCH)
BoS: This feature identifies points where the price breaks a significant structure, potentially indicating a new trend or a trend reversal.
CHoCH: Detects subtle shifts in the market's behavior, which could suggest the early stages of a trend change before they become apparent to the broader market.
Order Blocks and Market Phases
Order Blocks: These are essentially price levels or zones where significant trading activities previously occurred, likely pointing to the positions of smart money.
HH/LH/LL/LH Areas: Identifying Higher Highs (HH), Lower Highs (LH), Lower Lows (LL), and Lower Highs (LH) helps in understanding the trend and market structure, aiding in predictive analysis.
Rolling Timeframe Highs/Lows and Volume Comparisons
Tracks highs and lows over specified rolling periods, providing dynamic support and resistance levels.
Compares volume data across different timeframes to assess the strength or weakness of the current price movements.
Auto Fibonacci Levels
Automatically calculates and plots Fibonacci retracement levels, a popular tool among traders to identify potential reversal points based on past movements.
Session Data and Volume Intensity
Session Information: Displays current and upcoming trading sessions along with countdown timers, which is crucial for day traders and those trading on session overlaps.
Volume Intensity: Measures and compares the volume within the last 4 hours and 24 hours to gauge market activity and potential breakout/breakdown movements.
Visualizations and Practical Use
Dynamic Visuals: The suite provides dynamic visual aids, such as real-time updating of high/low markers and Fibonacci levels, which adjust as new data comes in. This feature is critical in fast-paced markets.
Strategic Entry/Exit Points: By identifying order blocks and using Fibonacci levels, traders can pinpoint strategic entry and exit points, maximizing potential returns.
Risk Management: Enhanced features like session countdowns and volume intensity help in better risk management by providing traders with more data on market sentiment and potential volatility.
Danger Signals from The Trading MindwheelThe " Danger Signals " indicator, a collaborative creation from the minds at Amphibian Trading and MARA Wealth, serves as your vigilant lookout in the volatile world of stock trading. Drawing from the wisdom encapsulated in "The Trading Mindwheel" and the successful methodologies of legends like William O'Neil and Mark Minervini, this tool is engineered to safeguard your trading journey.
Core Features:
Real-Time Alerts: Identify critical danger signals as they emerge in the market. Whether it's a single day of heightened risk or a pattern forming, stay informed with specific danger signals and a tally of signals for comprehensive decision-making support. The indicator looks for over 30 different signals ranging from simple closing ranges to more complex signals like blow off action.
Tailored Insights with Portfolio Heat Integration: Pair with the "Portfolio Heat" indicator to customize danger signals based on your current positions, entry points, and stops. This personalized approach ensures that the insights are directly relevant to your trading strategy. Certain signals can have different meanings based on where your trade is at in its lifecycle. Blow off action at the beginning of a trend can be viewed as strength, while after an extended run could signal an opportunity to lock in profits.
Forward-Looking Analysis: Leverage the 'Potential Danger Signals' feature to assess future risks. Enter hypothetical price levels to understand potential market reactions before they unfold, enabling proactive trade management.
The indicator offers two different modes of 'Potential Danger Signals', Worst Case or Immediate. Worst Case allows the user to input any price and see what signals would fire based on price reaching that level, while the Immediate mode looks for potential Danger Signals that could happen on the next bar.
This is achieved by adding and subtracting the average daily range to the current bars close while also forecasting the next values of moving averages, vwaps, risk multiples and the relative strength line to see if a Danger Signal would trigger.
User Customization: Flexibility is at your fingertips with toggle options for each danger signal. Tailor the indicator to match your unique trading style and risk tolerance. No two traders are the same, that is why each signal is able to be turned on or off to match your trading personality.
Versatile Application: Ideal for growth stock traders, momentum swing traders, and adherents of the CANSLIM methodology. Whether you're a novice or a seasoned investor, this tool aligns with strategies influenced by trading giants.
Validation and Utility:
Inspired by the trade management principles of Michael Lamothe, the " Danger Signals " indicator is more than just a tool; it's a reflection of tested strategies that highlight the importance of risk management. Through rigorous validation, including the insights from "The Trading Mindwheel," this indicator helps traders navigate the complexities of the market with an informed, strategic approach.
Whether you're contemplating a new position or evaluating an existing one, the " Danger Signals " indicator is designed to provide the clarity needed to avoid potential pitfalls and capitalize on opportunities with confidence. Embrace a smarter way to trade, where awareness and preparation open the door to success.
Let's dive into each of the components of this indicator.
Volume: Volume refers to the number of shares or contracts traded in a security or an entire market during a given period. It is a measure of the total trading activity and liquidity, indicating the overall interest in a stock or market.
Price Action: the analysis of historical prices to inform trading decisions, without the use of technical indicators. It focuses on the movement of prices to identify patterns, trends, and potential reversal points in the market.
Relative Strength Line: The RS line is a popular tool used to compare the performance of a stock, typically calculated as the ratio of the stock's price to a benchmark index's price. It helps identify outperformers and underperformers relative to the market or a specific sector. The RS value is calculated by dividing the close price of the chosen stock by the close price of the comparative symbol (SPX by default).
Average True Range (ATR): ATR is a market volatility indicator used to show the average range prices swing over a specified period. It is calculated by taking the moving average of the true ranges of a stock for a specific period. The true range for a period is the greatest of the following three values:
The difference between the current high and the current low.
The absolute value of the current high minus the previous close.
The absolute value of the current low minus the previous close.
Average Daily Range (ADR): ADR is a measure used in trading to capture the average range between the high and low prices of an asset over a specified number of past trading days. Unlike the Average True Range (ATR), which accounts for gaps in the price from one day to the next, the Average Daily Range focuses solely on the trading range within each day and averages it out.
Anchored VWAP: AVWAP gives the average price of an asset, weighted by volume, starting from a specific anchor point. This provides traders with a dynamic average price considering both price and volume from a specific start point, offering insights into the market's direction and potential support or resistance levels.
Moving Averages: Moving Averages smooth out price data by creating a constantly updated average price over a specific period of time. It helps traders identify trends by flattening out the fluctuations in price data.
Stochastic: A stochastic oscillator is a momentum indicator used in technical analysis that compares a particular closing price of an asset to a range of its prices over a certain period of time. The theory behind the stochastic oscillator is that in a market trending upwards, prices will tend to close near their high, and in a market trending downwards, prices close near their low.
While each of these components offer unique insights into market behavior, providing sell signals under specific conditions, the power of combining these different signals lies in their ability to confirm each other's signals. This in turn reduces false positives and provides a more reliable basis for trading decisions
These signals can be recognized at any time, however the indicators power is in it's ability to take into account where a trade is in terms of your entry price and stop.
If a trade just started, it hasn’t earned much leeway. Kind of like a new employee that shows up late on the first day of work. It’s less forgivable than say the person who has been there for a while, has done well, is on time, and then one day comes in late.
Contextual Sensitivity:
For instance, a high volume sell-off coupled with a bearish price action pattern significantly strengthens the sell signal. When the price closes below an Anchored VWAP or a critical moving average in this context, it reaffirms the bearish sentiment, suggesting that the momentum is likely to continue downwards.
By considering the relative strength line (RS) alongside volume and price action, the indicator can differentiate between a normal retracement in a strong uptrend and a when a stock starts to become a laggard.
The integration of ATR and ADR provides a dynamic framework that adjusts to the market's volatility. A sudden increase in ATR or a character change detected through comparing short-term and long-term ADR can alert traders to emerging trends or reversals.
The "Danger Signals" indicator exemplifies the power of integrating diverse technical indicators to create a more sophisticated, responsive, and adaptable trading tool. This approach not only amplifies the individual strengths of each indicator but also mitigates their weaknesses.
Portfolio Heat Indicator can be found by clicking on the image below
Danger Signals Included
Price Closes Near Low - Daily Closing Range of 30% or Less
Price Closes Near Weekly Low - Weekly Closing Range of 30% or Less
Price Closes Near Daily Low on Heavy Volume - Daily Closing Range of 30% or Less on Heaviest Volume of the Last 5 Days
Price Closes Near Weekly Low on Heavy Volume - Weekly Closing Range of 30% or Less on Heaviest Volume of the Last 5 Weeks
Price Closes Below Moving Average - Price Closes Below One of 5 Selected Moving Averages
Price Closes Below Swing Low - Price Closes Below Most Recent Swing Low
Price Closes Below 1.5 ATR - Price Closes Below Trailing ATR Stop Based on Highest High of Last 10 Days
Price Closes Below AVWAP - Price Closes Below Selected Anchored VWAP (Anchors include: High of base, Low of base, Highest volume of base, Custom date)
Price Shows Aggressive Selling - Current Bars High is Greater Than Previous Day's High and Closes Near the Lows on Heaviest Volume of the Last 5 Days
Outside Reversal Bar - Price Makes a New High and Closes Near the Lows, Lower Than the Previous Bar's Low
Price Shows Signs of Stalling - Heavy Volume with a Close of Less than 1%
3 Consecutive Days of Lower Lows - 3 Days of Lower Lows
Close Lower than 3 Previous Lows - Close is Less than 3 Previous Lows
Character Change - ADR of Last Shorter Length is Larger than ADR of Longer Length
Fast Stochastic Crosses Below Slow Stochastic - Fast Stochastic Crosses Below Slow Stochastic
Fast & Slow Stochastic Curved Down - Both Stochastic Lines Close Lower than Previous Day for 2 Consecutive Days
Lower Lows & Lower Highs Intraday - Lower High and Lower Low on 30 Minute Timeframe
Moving Average Crossunder - Selected MA Crosses Below Other Selected MA
RS Starts Curving Down - Relative Strength Line Closes Lower than Previous Day for 2 Consecutive Days
RS Turns Negative Short Term - RS Closes Below RS of 7 Days Ago
RS Underperforms Price - Relative Strength Line Not at Highs, While Price Is
Moving Average Begins to Flatten Out - First Day MA Doesn't Close Higher
Price Moves Higher on Lighter Volume - Price Makes a New High on Light Volume and 15 Day Average Volume is Less than 50 Day Average
Price Hits % Target - Price Moves Set % Higher from Entry Price
Price Hits R Multiple - Price hits (Entry - Stop Multiplied by Setting) and Added to Entry
Price Hits Overhead Resistance - Price Crosses a Swing High from a Monthly Timeframe Chart from at Least 1 Year Ago
Price Hits Fib Level - Price Crosses a Fib Extension Drawn From Base High to Low
Price Hits a Psychological Level - Price Crosses a Multiple of 0 or 5
Heavy Volume After Significant Move - Above Average and Heaviest Volume of the Last 5 Days 35 Bars or More from Breakout
Moving Averages Begin to Slope Downward - Moving Averages Fall for 2 Consecutive Days
Blow Off Action - Highest Volume, Largest Spread, Multiple Gaps in a Row 35 Bars or More Post Breakout
Late Buying Frenzy - ANTS 35 Bars or More Post Breakout
Exhaustion Gap - Gap Up 5% or Higher with Price 125% or More Above 200sma
Fibonacci Averages Trend OscillatorOverview:
The Fibonacci Averages Trend Oscillator is a unique technical indicator that leverages Fibonacci numbers to analyze market trends. It calculates the average trend sentiment over periods determined by Fibonacci numbers and smooths the result to create an oscillator.
Key Features:
Uses Fibonacci sequences for trend analysis.
Smooths the trend data to create a clear oscillator.
Offers adjustable oversold and overbought levels for customized analysis.
Inputs:
Max Fib Number: Select the highest Fibonacci number for trend calculation.
Smooth: Adjust the smoothness of the oscillator line.
Using the Oscillator:
A rising oscillator indicates a bullish trend, while a falling oscillator suggests bearish sentiment.
Oversold and overbought levels help identify potential reversal points.
Use the oscillator in conjunction with other indicators for comprehensive market analysis.
Tips for Effective Use:
Adjusting Fibonacci Levels: Experiment with different 'Max Fib Number' settings to find the one that best matches your trading style and the asset's characteristics. Higher Fibonacci numbers consider longer periods, which might be more suitable for long-term trend analysis.
Smoothing Level: The 'Smooth' input helps in reducing noise. A higher smooth level results in a less responsive but smoother line, which can be useful for identifying the overall trend direction.
Interpreting Overbought/Oversold: Watch for the oscillator reaching overbought or oversold levels. These points could signal potential trend reversals or consolidation phases.
Combination with Other Tools: For best results, combine the Fibonacci Averages Trend Oscillator with other technical tools like moving averages, RSI, or MACD to validate the signals and develop a robust trading strategy.
Conclusion:
The Fibonacci Averages Trend Oscillator offers a unique approach to trend analysis by incorporating Fibonacci numbers into its calculation. Its adjustable settings allow for customization to fit various trading styles and market conditions, making it a versatile tool for traders seeking to enhance their technical analysis capabilities.
Volume Profile - BearJust another Volume Profile but you can fit into your chart better by moving back and forth horizontally. also note you can fix the number of bars to show the volume by that way you can use a fib retracment to line up high/low volume nodes with fib levels... see where price as bad structure. or just play with the colors to make a cool gradient?
Volume Profile is a technical analysis tool used by traders to analyze the distribution of trading volume at different price levels within a specified time frame. It helps traders identify key support and resistance levels, potential areas of price reversals, and areas of high trading interest. Here's how to read Volume Profile on a trading chart:
1. **Choose a Time Frame**: Decide on the time frame you want to analyze. Volume Profile can be applied to various time frames, such as daily, hourly, or even minute charts. The choice depends on your trading style and goals.
2. **Plot the Volume Profile**: Once you have your chart open, add the Volume Profile indicator. Most trading platforms offer this tool. It typically appears as a histogram or a series of horizontal bars alongside the price chart.
3. **Identify Key Elements**:
a. **Value Area**: The Value Area represents the price range where the majority of trading volume occurred. It is often divided into three parts: the Point of Control (POC) and the upper and lower value areas. The POC is the price level where the most trading activity occurred and is considered a significant support or resistance level.
b. **High-Volume Nodes**: High-volume nodes are price levels where there was a significant amount of trading volume. These nodes can act as support or resistance levels because they represent areas where many traders had their positions.
c. **Low-Volume Areas**: Conversely, low-volume areas are price levels with little trading activity. These areas may not provide strong support or resistance because they lack significant trader interest.
4. **Interpretation**:
- If the price is trading above the POC and the upper value area, it suggests bullish sentiment, and these levels may act as support.
- If the price is trading below the POC and the lower value area, it suggests bearish sentiment, and these levels may act as resistance.
- High-volume nodes can also act as support or resistance, depending on the price's current position relative to them.
5. **Confirmation**: Volume Profile should be used in conjunction with other technical analysis tools and indicators to confirm trading decisions. Consider using trendlines, moving averages, or other price patterns to validate your trading strategy.
6. **Adjust for Different Time Frames**: Keep in mind that Volume Profile analysis can yield different results on different time frames. For example, a support level on a daily chart may not hold on a shorter time frame due to intraday volatility.
7. **Practice and Experience**: Like any trading tool, reading Volume Profile requires practice and experience. Analyze historical charts, paper trade, and refine your strategies over time to gain proficiency.
8. **Stay Informed**: Stay updated with market news and events that can impact trading volume. Sudden news can change the significance of volume levels.
Elliott Wave with Supertrend Exit - Strategy [presentTrading]## Introduction and How it is Different
The Elliott Wave with Supertrend Exit provides automated detection and validation of Elliott Wave patterns for algorithmic trading. It is designed to objectively identify high-probability wave formations and signal entries based on confirmed impulsive and corrective patterns.
* The Elliott part is mostly referenced from Elliott Wave by @LuxAlgo
Key advantages compared to discretionary Elliott Wave analysis:
- Wave Labeling and Counting: The strategy programmatically identifies swing pivot highs/lows with the Zigzag indicator and analyzes the waves between them. It labels the potential impulsive and corrective patterns as they form. This removes the subjectivity of manual wave counting.
- Pattern Validation: A rules-based engine confirms valid impulsive and corrective patterns by checking relative size relationships and fib ratios. Only confirmed wave counts are plotted and traded.
- Objective Entry Signals: Trades are entered systematically on the start of new impulsive waves in the direction of the trend. Pattern failures invalidate setups and stop out positions.
- Automated Trade Management: The strategy defines specific rules for profit targets at fib extensions, trailing stops at swing points, and exits on Supertrend reversals. This automates the entire trade lifecycle.
- Adaptability: The waveform recognition engine can be tuned by adjusting parameters like Zigzag depth and Supertrend settings. It adapts to evolving market conditions.
ETH 1hr chart
In summary, the strategy brings automation, objectivity and adaptability to Elliott Wave trading - removing subjective interpretation errors and emotional trading biases. It implements a rules-based, algorithmic approach for systematically trading Elliott Wave patterns across markets and timeframes.
## Trading Logic and Rules
The strategy follows specific trading rules based on the detected and validated Elliott Wave patterns.
Entry Rules
- Long entry when a new impulsive bullish (5-wave) pattern forms
- Short entry when a new impulsive bearish (5-wave) pattern forms
The key is entering on the start of a new potential trend wave rather than chasing.
Exit Rules
- Invalidation of wave pattern stops out the trade
- Close long trades on Supertrend downturn
- Close short trades on Supertrend upturn
- Use a stop loss of 10% of entry price (configurable)
Trade Management
- Scale out partial profits at Fibonacci levels
- Move stop to breakeven when price reaches 1.618 extension
- Trail stops below key swing points
- Target exits at next Fibonacci projection level
Risk Management
- Use stop losses on all trades
- Trade only highest probability setups
- Size positions according to chart timeframe
- Avoid overtrading when no clear patterns emerge
## Strategy - How it Works
The core logic follows these steps:
1. Find swing highs/lows with Zigzag indicator
2. Analyze pivot points to detect impulsive 5-wave patterns:
- Waves 1, 3, and 5 should not overlap
- Waves 3 and 5 must be longer than wave 1
- Confirm relative size relationships between waves
3. Validate corrective 3-wave patterns:
- Look for overlapping, choppy waves that retrace the prior impulsive wave
4. Plot validated waves and Fibonacci retracement levels
5. Signal entries when a new impulsive wave pattern forms
6. Manage exits based on pattern failures and Supertrend reversals
Impulsive Wave Validation
The strategy checks relative size relationships to confirm valid impulsive waves.
For uptrends, it ensures:
```
Copy code- Wave 3 is longer than wave 1
- Wave 5 is longer than wave 2
- Waves do not overlap
```
Corrective Wave Validation
The strategy identifies overlapping corrective patterns that retrace the prior impulsive wave within Fibonacci levels.
Pattern Failure Invalidation
If waves fail validation tests, the strategy invalidates the pattern and stops signaling trades.
## Trade Direction
The strategy detects impulsive and corrective patterns in both uptrends and downtrends. Entries are signaled in the direction of the validated wave pattern.
## Usage
- Use on charts showing clear Elliott Wave patterns
- Start with daily or weekly timeframes to gauge overall trend
- Optimize Zigzag and Supertrend settings as needed
- Consider combining with other indicators for confirmation
## Default Settings
- Zigzag Length: 4 bars
- Supertrend Length: 10 bars
- Supertrend Multiplier: 3
- Stop Loss: 10% of entry price
- Trading Direction: Both
HTF FVG D/W/M 25%/50%/75% [MK]Do you use HTF FVG (fair value gaps) in your trading strategy? Do you monitor price on the 25%/50%/75% levels within the FVG on a lower timeframe?
This script will allow the user to display either Daily, Weekly or Monthly FVGs on a lower timeframe chart. The script will then also show the 25%/50%/75% levels within the HTF FVG so traders can see how price reacts in the FVG.
For example, a Weekly FVG may be chosen by the trader as a possible reversal point, or somewhere to add to an existing position. The trader might want to see the FVG almost fully filled, then watch price climb up/down out of the Weekly FVG
before taking the trade.
Previously traders would draw the FVG to the chart, then use maybe the tradingview fib tool to display the 25%/50%/75% levels. The problem with this is that its easy to accidently move the fib while dragging the chart around.
Chart below shows example of price almost filling a D FVG, then using the 25%/50%/75% levels as it climbs out of the FVG and reverses to the upside.
Planetary Tunings Moving AveragesThe Pine Script "Planetary Tunings Moving Averages" is a unique tool that plots moving averages (MAs) on a chart, representing the wavelengths of different planets as derived from the book Quadrivium. These wavelengths, also referred to as 'planetary tunings', are related to the orbital resonance of each planet.
Each planetary tuning value is first transformed into a whole number by multiplying it by 1000 and removing the decimal. This whole number is then used as the length parameter for a Simple Moving Average (SMA) function. This function calculates the average of the closing prices over the defined number of periods, thereby creating a moving average line on the chart.
The moving average lines are color-coded according to the planet they represent, allowing for quick and easy interpretation. For example, Mercury's moving average line is blue, Venus's line is orange, and so forth. These colors can be adjusted directly in the Pine Script code if desired.
Additionally, the script computes the mean of all these moving averages and plots it on the chart. This line provides an overall trend line, summarizing the collective behavior of all the planetary tuning moving averages.
The drawings in the chart are fib channels and fib circles that I use to capture liquidity in time.
Please note that this script is written for Pine Script Version 4. It's crucial to ensure your TradingView platform is compatible with this version. For any issues or further clarification, consider referring to TradingView's Pine Script documentation or its community forums.
