[Excalibur] Advanced Polynomial Regression Trend ChannelIt's been a long time coming... Regression channel enthusiasts, it's 'ultimately' here! Welcome to my Apophis page. But first, let me explain the origins of its attributed name blending both descriptive & engaging content with concise & technical topics...
EGYPTIAN ROOTED TALES:
Apophis (Greek) or Apep (Egyptian) was known by many cultures to be a mighty Egyptian archetype of chaos, darkness, and destruction. In ancient Egyptian mythology, Apophis was often depicted in the form of a fearsome menacing serpent, in those days, with an insatiable appetite for relentless malevolence. This dreaded entity was considered a formidable enemy and was also believed to appear as a giant serpent arising from the underworld.
Forever engaging in eternal battle, according to lore, Apophis' adversarial attributes represented the forces of disorder and anarchy clashing with the forces of order and harmony. This serpent's wickedly described figure was significantly symbolic of the disruptive, treacherous powers that Apophis embodied, those which threatened to plunge the perceivable archaic world into darkness. To the ancients, the legendary cyclical struggles against Apophis served as allegory reflecting on the macrocosm of the larger conflict between good and evil disparities that shaped early ancient civilization, much like the tree serpent.
One of Apophis’ mythological roots was immortally depicted on tomb stone. On one particular hieroglyphic wall tableau, in the second chamber of Inherkau’s tomb at Deir el-Medina, within the Theban Necropolis, portrays a mural of a serpent (Apep) under an edible fruit tree being slain in defeat. The species of snake depicted on various locations of tomb walls appears to me to bear a striking resemblance to the big eyed Echis pyramidum (Egyptian saw-scaled viper) native to regions of North Africa and the Middle East. It's a species of viper notoriously contributing to the most snake bite fatalities in the world still to this day; talk about a true harbinger of chaos incarnate. You do NOT want to cross paths with this asp in the dark of night, ever! Nor the other species of Echis found around Echid trees in the garden.
As we all know, fabled archaic storytelling can be misconstruing. Yet, these archaic serpent narratives still have echoes of significant notions and wisdom to learn from, especially in a modern technological society still rife with miscalculating deep snakes slithering about with intent to specifically plot disorder on national scales, and then profitably capitalize on it. Many deep black snakes are hiding in plain sight and under rocks. They do indeed speak and spell with forked tongues and malfeasance to the masses. I have great news. Tools now exist in the realms of AI combined with fractal programming circles to uncover these venomous viper mesh networks and investigatively monitor their subversive activities, so their days are surely numbered for... GAME OVER. Prepare to meet the doom you vain vipers have sought!
The arrival of the great and powerful international storm of the century has come, clothed in vindication. It's the only just way for the globe to clean house and move forward economically into the evolving herafter unobstructed by rampant evils and corruption. The foundations of future architectures are being established, and these nefarious obstacles MUST NOT hinder that path ahead.
With my former days of serpent wrangling being behind me, I now explore avenues of history, philosophy, programming, and mathematics, weaving them all into my daily routine. Now is the time to make some mathematical history unfold and get to the good and spicy stuff that you as the reader seek...
CALCULATING ON CHAOS:
Perhaps frightful characteristics of serpents (their maneuverability to adapt to any swervy situation) could be harnessed and channeled into a powerful tool for navigating the treacherous waters of data chaos. What if taming a monstrous beast of mayhem was not only possible, but fully achievable? Well, I think I have improved upon an approach to better tackle fractal chaos handling and observation within a modest PSv6 float environment without doubles. Finally, I've successfully turned my pet anaconda, Apophis, into a docile form of mathematical charting resilience beyond anything I have ever visually witnessed before. This novel work clearly deprecates ALL of my prior regression works by performing everything those delivered AND more, but it doesn't necessarily eliminate them into extinction.
INTRODUCTION:
Allow me to introduce Apophis! What you see showcased above is also referred to as 'Advanced Polynomial Regression Trend Channel' (APRTC) for technical minds. I would describe it as an avant-garde trend channel obtaining accurate polynomial approximations on market data with Pine v6.0. APRTC is a fractal following demystifier that I can only describe as being a signal trajectory tracking stalker manifesting as a data devouring demon. My full-fledged 'Excalibur' version of poly-regression swiftly captures undulating patterns present in market data with ease and at warp speed faster than you can blink. Now unchained, this is my rendering of polynomial wrath employing the "Immense Power of Pine".
By pushing techniques of regression to extremes, I am able to trace the serpentine trajectory of chaos up to a 50th order with 100s or 1000s of samples via "advanced polynomial regression" (APR), aka Apophis. This uniquely reactive trend channel method is designed to enhance the way we engage with the complex challenge of observably interpreting chaotic price behavior. While this is the end of the road for my revolutionary trend channel technology, that doesn't imply that future polynomial regression upgrades won't/might occur... There are a number of other supplementary concepts I have in my mind that could potentially prove useful eventually, who knows. However, for the moment, I feel it's wisest to monitor how accommodating APRTC is towards servers for the present time.
HISTORICAL ENDEAVORS:
Having wrangled countless wild serpents in my youth by the handfuls, tackling this was one multi-headed regression challenge temptation I couldn't resist. Besides, serpents in reality are more than often scared of us in the wild, so I assumed this shouldn't be too terribly hard. Wrong! It's been a complex struggle indeed. APRTC gave me many stinging bites for a LONG time. I had unknowingly opened Pandora's box of polynomials unprepared for what was to follow.
Long have I wrestled with Apophis throughout many nights for years with adversity, at last having arrived at a current grand solution and ultimately emerging victorious. Now, does the significance of the entitled name Apophis become more apparent at this point of reading? What you can now witness above is a very powerful blend of precision combined with maneuverability, concluding my dreamy expectations of a maximal experience with polynomial regression in TV charts. With all of my wizardry components finally assembled, Apophis genuinely is the most phenomenal indicator I ever devised in my life... as of yet.
How was this accomplished? By unlocking a deep understanding of the mathematical principles that govern regression, combined with an arsenal of mathemagical trickeries through sheer determination. I also spent an incredible amount of time flexing the unbendable 64bit float numerics to obtain a feasible order/degree of up to 50 polynomials or up to 4000 bars of regression (never simultaneously) on a labyrinth of samples. Lastly, what was needed was a pinch of mathematical pixie dust with a pleasant dose of Pine upgrades (lots of line re-drawings) that millions of other members can also utilize. Thank you so much, Pine developers, for once again turning meager proposed visions into materialized reality by leveraging the "Power of Pine" for the many!
DESCRIBING POLYNOMIAL REGRESSION:
APRTC is a visual guide for navigating noisy markets, providing both trajectory and structure through the power of mathematical modeling. Polynomial regression, especially at higher orders, exhibits obvious sidewinder/serpentine like characteristics. Even the channel extremities, on swift one second charts, resemble scales in motion with a pair of dashed exterior lines. This poly version presently yields the best quality of fit, providing an extreme "visual analysis" of your price action in high noise environments. The greater the order of the polynomial, the more pronounced the meandering regression characteristics become, as the algorithm strives to visually capture the fundamental fractal patterns most effectively.
Polynomial Regression in Action:
The medial line displays the core polynomial regression approximation in similarity to spinal backbones of serpents when following the movements of market data. Encasing the central structure, the channel's skin consists of enveloping lines having upper and lower extremes. To further enhance visualization, background fill colors distinguish the breadth between positive and negative territories of potential movement.
Additional internal dotted variability lines are available with multiple customizable settings to adjust dynamic dispersion, color, etc. One other exciting feature I added is the the ability to see the polynomial values with up to 50 (adjustable) decimal places if available. Witnessing Xⁿ values tapering near to 0.0 may indicate overfitting. Linear regression is available at order=1 and quadratic regression is invoked using order=2.
Information Criterion:
A toggleable label provides a multitude of information such as Bayesian Information Criterion (BIC), order, period, etc. BIC serves as an polynomial regression fit metric, with lesser values indicating a better balance between polynomial order adjustments, reflecting a more accurate fit in relation to the channel's girth. One downside of BIC values is their often large numerical values, making visual comparisons challenging, and then also their rare occurrence as negative values.
Furthermore, I formulated my own "EXPERIMENTAL" Simpler Information Criterion (SIC) fit metric, which seems to offer better visual interpretability when adjusting order settings on a selected regression period, especially on minuscule price numerics. Positive valued SIC numerics with lesser digits also reflect a preferred better fit during order adjustment, same as applying BIC principles of the minimum having a superior calulation tendency. I'll let members be the judge of deciding whether my SIC is actually a superior information criterion compared to BIC.
TECHNICAL INTERPRETATION and APPLICATION:
The Apophis indicator utilizes high-order polynomial regression, up to a maximum 50th order ability to deliver a nuanced, visual representation of complex market dynamics. I would caution against using upwards toward a 50th order, because opting for a 50th order polynomial is categorically speaking "wildly unsane" in real-world practice. As the polynomial degree increases from lesser orders, the regression line exhibits more pronounced curvature and undulations.
Visually analyzing the regression curve can provide insights into prevailing trends, as well as volatility regimes. For example, a gently sloping line may signal a steady directional trend, while a tightly curled oscillating curve may indicate heightened volatility and range-bound trading. Settings are rather straight forward, and comparable to my former "Quadratic Regression Trend Channel" efforts, although one torturous feature from QRTC is omitted due too computational complexity concerns.
Notice: Trial invite only access will not be granted for this indicator. Those who are familiar with recognizing what APRTC is, you will either want it or not, to add to your arsenal of trading approaches.
When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members , I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
RISK DISCLAIMER:
My scripts and indicators are specifically intended for informational and educational use only. This script uses historical data points to perform calculations to derive real-time calculations. They do not infer, indicate, or guarantee future results or performance.
By utilizing this script/indicator or any portion of it, you agree to accept 100% responsibly and liability for your investment or financial decisions, and I will not be held liable for your subjective analytic interpretations incurring sustained monetary losses. The opinions and information visual or otherwise provided by this script/indicator is not investment advice, nor does it constitute recommendation.
Trend Analysis
Fair Value Gap (FVG) by AlgoMaxxFair Value Gap (FVG) by AlgoMaxx
Advanced Fair Value Gap (FVG) detector with dynamic support/resistance lines. This professional-grade tool helps traders identify and track important market inefficiencies through Fair Value Gaps.
Features:
• Auto-detection of bullish and bearish FVGs
• Dynamic dotted extension lines for latest FVGs
• Smart gap filtering system
• Color-coded visualization
• Customizable parameters
• Clean, optimized code
Key Functions:
• Detects imbalance zones between candlesticks
• Marks FVGs with color-coded boxes
• Extends dotted lines for active reference levels
• Automatically updates with new gap formations
• Tracks gap fills in real-time
Inputs:
• Lookback Period: Historical gaps to display
• Minimum Gap Size %: Filter for gap significance
• Bullish/Bearish Colors: Visual customization
• Show Filled Gaps: Toggle filled gap visibility
Practical Applications:
1. Support/Resistance Levels
2. Mean Reversion Trading
3. Trend Continuation Setups
4. Market Structure Analysis
5. Price Action Trading
Usage Tips:
• Higher timeframes (1H+) provide more reliable signals
• Multiple FVGs in one zone indicate stronger levels
• Use in conjunction with other technical tools
• Monitor price reactions at FVG levels
• Consider gaps as zones rather than exact prices
Note: This is a premium-grade indicator designed for serious traders. Works best on higher timeframes where price inefficiencies are more significant.
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By Algomaxx
Version: 1.0
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Disclaimer:
This indicator is for informational purposes only. Trade at your own risk and always use proper risk management.
#FVG #technical #trading #algomaxx #premium
All-in-One BB Stoch RSI + PSAR + Keltner + ADX + Trailing StopThis invite-only indicator combines multiple advanced tools into a single script, generating buy/short signals alongside comprehensive alerts. Priced at just $25/month, it’s ideal for both manual trading and integration with bots.
Key Features & Alerts
Buy & Short Signals
Quickly identify potential long or short entries.
Three Take-Profit (TP) Lines
Long: After a BUY signal, three lines appear (TP1, TP2, TP3), allowing you to take partial profits—e.g., 30%, 30%, 30%—and keep the remaining 10% to trail.
Short: Similarly, after a SHORT signal, three TP lines help you scale out as price moves in your favor.
Stop-Loss Line (Based on Bollinger Width)
Precisely calculates a stop-loss distance using Bollinger Band width (a percentage below for longs or above for shorts).
Trailing Stop-Loss
Any remaining position can be trailed under (or above) Parabolic SAR, Keltner Channels, and Bollinger, with an extra 0.2% margin for added caution.
ADX + Stoch RSI + RSI (MA)
Filter out weak trends, gauge volatility, and confirm overbought/oversold regions in real time.
Compatible With Trading Bots
Built-in alerts can be connected to bot logic (via webhooks), enabling automated management of entries, TPs, stop-losses, and trailing stops.
Why Use This Indicator?
All-in-One Script: Eliminates chart clutter by merging multiple indicators into one.
Partial Take-Profits: Clearly defined TP1, TP2, TP3 lines help you lock in gains progressively.
Enhanced Risk Control: Stop-loss and trailing stop lines update automatically, keeping your trades protected.
Easy Bot Integration: Perfect for traders wanting direct alerts or automated trading setups.
Invite-Only for Exclusive Access: Maintain a competitive edge with protected source code.
How to Use:
Add to Chart
After access is granted, go to Indicators → Invite-Only Scripts and select this script.
Enable Specialized Alerts
Receive notifications for Buy/Short signals, the three TP lines, Stop-Loss, and Trailing Stop events.
Scale Out or Automate
Manually close partial positions at the TP lines (e.g., 30% each time) and let the remaining 10% trail for bigger moves.
Or link these alerts to a trading bot for fully automated position management.
Price: $25/month
Interested? Contact me (via direct message or email) for more details and to subscribe. Experience clearer charts, timely signals, and robust risk management in one invite-only package!
Twitter Model ICT [TradingFinder] MMXM ERL D + FVG + M15 MSS/SMT🔵 Introduction
The Twitter Model ICT is a trading approach based on ICT (Inner Circle Trader) models, focusing on price movement between external and internal liquidity in lower timeframes. This model integrates key concepts such as Market Structure Shift (MSS), Smart Money Technique (SMT) divergence, and CISD level break to identify precise entry points in the market.
The primary goal of this model is to determine key liquidity levels, such as the previous day’s high and low (PDH/PDL) and align them with the Fair Value Gap (FVG) in the 1-hour timeframe. The overall strategy involves framing trades around the 1H FVG and using the M15 Market Structure Shift (MSS) for entry confirmation.
The Twitter Model ICT is designed to utilize external liquidity levels, such as PDH/PDL, as key entry zones. The model identifies FVG in the 1-hour timeframe, which acts as a magnet for price movement. Additionally, traders confirm entries using M15 Market Structure Shift (MSS) and SMT divergence.
Bullish Twitter Model :
In a bullish setup, the price sweeps the previous day’s low (PDL), and after confirming reversal signals, buys are executed in internal liquidity zones. Conversely, in a bearish setup, the price sweeps the previous day’s high (PDH), and after confirming weakness signals, sells are executed.
Bearish Twitter Model :
In short setups, entries are only executed above the Midnight Open, while in long setups, entries are taken below the Midnight Open. Adhering to these principles allows traders to define precise entry and exit points and analyze price movement with greater accuracy based on liquidity and market structure.
🔵 How to Use
The Twitter Model ICT is a liquidity-based trading strategy that analyzes price movements relative to the previous day’s high and low (PDH/PDL) and Fair Value Gap (FVG). This model is applicable in both bullish and bearish directions and utilizes the 1-hour (1H) and 15-minute (M15) timeframes for entry confirmation.
The price first sweeps an external liquidity level (PDH or PDL) and then provides an entry opportunity based on Market Structure Shift (MSS) and SMT divergence. Additionally, the entry should be positioned relative to the Midnight Open, meaning long entries should occur below the Midnight Open and short entries above it.
🟣 Bullish Twitter Model
In a bullish setup, the price first sweeps the previous day’s low (PDL) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bullish Fair Value Gap (FVG) forms, which serves as the price target.
To confirm the entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should be observed, signaling a trend reversal to the upside. Additionally, SMT divergence with correlated assets can indicate weakness in selling pressure.
Under these conditions, a long position is taken below the Midnight Open, with a stop-loss placed at the lowest point of the recent bearish move. The price target for this trade is the FVG in the 1-hour timeframe.
🟣 Bearish Twitter Model
In a bearish setup, the price first sweeps the previous day’s high (PDH) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bearish Fair Value Gap (FVG) is identified, serving as the trade target.
To confirm entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should form, signaling a trend shift to the downside. If an SMT divergence is present, it can provide additional confirmation for the trade.
Once these conditions are met, a short position is taken above the Midnight Open, with a stop-loss placed at the highest level of the recent bullish move. The trade's price target is the FVG in the 1-hour timeframe.
🔵 Settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
Daily Position : Determines whether only the first signal of the day is considered or if signals are evaluated throughout the entire day.
Session : Specifies in which trading sessions the indicator will be active.
Second Symbol : This setting allows you to select another asset for comparison with the primary asset. By default, "XAUUSD" (Gold) is set as the second symbol, but you can change it to any currency pair, stock, or cryptocurrency. For example, you can choose currency pairs like EUR/USD or GBP/USD to identify divergences between these two assets.
Divergence Fractal Periods : This parameter defines the number of past candles to consider when identifying divergences. The default value is 2, but you can change it to suit your preferences. This setting allows you to detect divergences more accurately by selecting a greater number of candles.
The indicator allows displaying sessions based on various time zones. The user can select one of the following options :
UTC (Coordinated Universal Time)
Local Time of the Session
User’s Local Time
Show Open Price : Displays the New York market opening price.
Show PDH / PDL : Displays the previous day’s high and low to identify potential entry points.
Show SMT Divergence : Displays lines and labels for bullish ("+SMT") and bearish ("-SMT") divergences.
🔵 Conclusion
The Twitter Model ICT is an effective approach for analyzing and executing trades in financial markets, utilizing a combination of liquidity principles, market structure, and SMT confirmations to identify optimal entry and exit points.
By analyzing the previous day’s high and low (PDH/PDL), Fair Value Gaps (FVG), and Market Structure Shift (MSS) in the 1H and M15 timeframes, traders can pinpoint liquidity-driven trade opportunities. Additionally, considering the Midnight Open level helps traders avoid random entries and ensures better trade placement.
By applying this model, traders can interpret market movements based on liquidity flow and structural changes, allowing them to fine-tune their trading decisions with higher precision. Ultimately, the Twitter Model ICT provides a structured and logical approach for traders who seek to trade based on liquidity behavior and trend shifts in the market.
[GrandAlgo] MTF Historical Highs and LowsMany traders rely on weekly highs and lows to identify key market levels, but what if you could see how price reacted to these levels in past weeks, months, or even years? With MTF Historical Highs and Lows, you can visualize all past highs, lows, and midpoints from any timeframe, allowing you to refine your strategy and make more informed trading decisions.
This indicator retrieves and plots historical highs, lows, and midpoints based on a user-selected timeframe (default: Weekly). It dynamically updates, ensuring that all significant price levels remain visible on your chart. Additionally, smart filtering helps you focus only on relevant levels, and alerts notify you when price interacts with key zones.
Key Features:
✅ Automatically Fetches & Plots Historical Highs, Lows, and Midpoints
✅ Customizable Timeframes (default: Weekly, but adjustable)
✅ Visibility Filtering – Hides lines that are too far from the current price
✅ Alerts for Key Levels – Get notified when price touches an important historical level
✅ Customizable Colors & Display Preferences for clarity
How It Works:
1️⃣ Select a Date Range – Focus on historical levels that are most relevant to the current market conditions
2️⃣ Choose a Timeframe – Use Weekly, Monthly, or any timeframe that suits your strategy.
3️⃣ Enable Highs, Lows, and Midpoints – Customize what you want to see.
4️⃣ Adjust Filtering – Hide lines that are too far from the current price to reduce clutter.
5️⃣ Get Alerts – Be notified when price reaches a historical level for potential trade setups.
Ideal for Traders Who:
Trade Support & Resistance Levels – Understand how price reacts at historical highs and lows.
Analyze Market Structure – Identify key areas where price may reverse or break out.
Want Smart Alerts – Stay informed without staring at charts all day.
Dynamic Deviation Levels [BigBeluga]Dynamic Deviation Levels is an innovative indicator designed to analyze price deviations relative to a smoothed midline. It provides traders with visual cues for overbought/oversold zones, price momentum, levels through labeled deviations and gradient candle coloring.
🔵Key Features:
Smoothed Midline:
A central line calculated as a smoothed median of the price source, serving as the baseline for price deviation analysis.
Dynamic Deviation Levels:
- Three deviation levels are plotted above and below the midline, with labels (1, 2, 3, -1, -2, -3) marking significant price movements.
- Helps traders identify overbought and oversold market conditions.
Heat-Colored Candles:
- Candle colors shift in intensity based on the deviation level, with four gradient shades for both upward and downward movements.
- Quickly highlights market extremes or stable zones.
Interactive Color Scale:
- A gradient scale at the bottom right of the chart visually represents deviation values.
- A triangle marker indicates the current price deviation in real time.
Optional Deviation Levels Display:
- Traders can enable all dynamic levels on the chart to visualize support and resistance areas dynamically.
🔵Usage and Benefits:
Identify Overbought/Oversold Zones: Use labeled deviation levels and heat-colored candles to spot stretched market conditions.
Track Trend Reversals and Momentum: Monitor price interactions with deviation levels for potential trend continuation or reversal signals.
Real-Time Deviation Insights: Leverage the color scale and triangle marker for live deviation tracking and actionable insights.
Map Dynamic Support and Resistance: Enable dynamic levels to highlight key areas where price reactions are likely to occur.
Dynamic Deviation Levels is an indispensable tool for traders aiming to combine price dynamics, momentum analysis, and visual clarity in their trading strategies.
Swing Profile Analyzer [ChartPrime]Swing Profile Analyzer
The Swing Profile Analyzer is a comprehensive tool designed to provide traders with valuable insights into swing frequency profiles, enabling them to identify key price levels and areas of market interest.
⯁ KEY FEATURES
Swing Frequency Profiles
Automatically plots frequency profiles for each swing, highlighting price distribution and key levels of significance.
Point of Control (POC) Line
Marks the price level with the highest number of closes within a swing, acting as a key area for potential price reactions.
Customizable Trend Display
Allows users to toggle between displaying profiles for bullish swings, bearish swings, or both, offering tailored analysis.
Integrated ZigZag Lines
Visualizes swing highs and lows, providing a clear picture of market trends and reversals.
Dynamic Profile Visualization
Profiles are color-coded to indicate the frequency of closes, with the highest value bins distinctly marked for easy recognition.
Max Frequency Highlight
Displays numerical values for the most active price level within each profile, showing how many closes occurred at the peak bin.
Updates only after swing formed
Profiles and POC lines automatically appear after swing is done
⯁ HOW TO USE
Identify Critical Price Levels
Use the POC line and frequency distribution to locate levels where price is likely to react or consolidate.
Analyze Swing Characteristics
Observe swing profiles to understand the strength, duration, and behavior of market trends.
Plan Entries and Exits
Leverage significant price levels and high-frequency bins to make more informed trading decisions.
Focus on Specific Trends
Filter profiles to analyze bullish or bearish swings based on your trading strategy.
⯁ CONCLUSION
The Swing Profile Analyzer is an essential tool for traders seeking to understand price dynamics within market swings. By combining frequency profiles, POC levels, and trend visualization, it enhances your ability to interpret and act on market movements effectively.
Moving Average Hamming-RKMoving Average Hamming
Description:
A Moving Average using a Hamming window is a technique used in technical analysis to smooth price data. The Hamming window applies weighted smoothing, reducing sharp variations and edge effects in the data. This helps in identifying trends more effectively while minimizing noise.
It can be used in combination with other technical indicators for better market analysis.
Technical Use:
The Hamming Moving Average reduces high-frequency noise, making trends clearer.
It applies different weights to data points, giving more importance to the center of the window while reducing the impact of abrupt changes.
This method is particularly useful in trend-following strategies as it minimizes false breakouts.
It can also be integrated into algorithmic trading systems for improved price fluctuation filtering.
When to Take a Position:
Buy Signal: When the price crosses above the Hamming Moving Average, indicating a potential uptrend.
Sell Signal: When the price crosses below the Hamming Moving Average, signaling a possible downtrend.
Confirmation: Combine with other indicators like RSI or MACD to confirm the trend before entering a trade.
Avoid Choppy Markets: The indicator works best in trending markets; avoid using it in sideways or ranging conditions.
This approach helps traders refine their analysis, making informed decisions while reducing market noise.
Market Trend Scanner [Afnan]This Market Strength Scanner indicator is designed to provide traders with a clear and concise overview of market trends using a single table. It helps you quickly determine which sectors and indices are strong, weak, or choppy, allowing you to make informed trading decisions with ease.
How This Indicator Helps You:
✅ Identify Strong Sectors & Indices
🔹By analyzing this table, you can instantly see which sectors and indices are performing well.
🔹Focus on stocks within strong sectors to find high-probability buying opportunities.
✅ Avoid Weak or Choppy Markets
🔹The indicator highlights bearish or consolidating sectors, helping you avoid poor trading conditions.
🔹Stay away from sectors that are weak or moving sideways to reduce unnecessary risks.
✅ Understand Market Sentiment in Seconds
🔹If most sectors are bullish, the market is in an uptrend—giving you confidence to take long positions.
🔹If the majority are bearish, the market is weak, signaling caution.
🔹A mix of bullish and bearish sectors indicates a choppy market, warning you to avoid trading or adjust your strategy.
✅ Powered by 4 Customizable EMAs
🔹The indicator uses 4 Exponential Moving Averages (EMAs) to determine trends for each sector and index.
🔹These EMAs are fully modifiable, allowing you to adjust them based on your preferred strategy.
✅ Covers 25 Major Indices (Fully Customizable)
🔹By default, the indicator tracks 25 key indices, giving you a broad market perspective.
🔹You can customize the list to focus on the indices that matter most to you.
Why Use This Indicator?
🔹 Saves Time – No need to analyze multiple charts manually. The table gives you everything at a glance.
🔹 Improves Trade Selection – Focus only on strong sectors for better trade accuracy.
🔹 Works in All Market Conditions – Whether the market is trending or consolidating, this tool keeps you informed.
🔹 Fully Customizable – Adjust the EMAs and indices according to your trading preferences.
With just this one powerful indicator, you get a complete market overview, helping you align your trades with the current trend effortlessly! 🚀
Alpha Beta Gamma OscillatorThis momentum oscillator calculates three key ratios to analyze price position within a dynamic range:
1. **Alpha (Blue Line)**
`Alpha = (Current Close - Lowest Close) / Lookback Period`
Measures the absolute price elevation above the recent low, normalized by time. Represents raw upward momentum.
2. **Beta (Red/Blue Line)**
`Beta = (Highest Close - Lowest Close) / Lookback Period`
Calculates the normalized price range volatility over the period. Acts as a denominator for relative positioning.
3. **Gamma (Green/Red Line)**
`Gamma = Alpha / Beta`
Creates a 0-1 bounded oscillator showing relative position within the recent price range:
- 0 = At period's lowest close
- 1 = At period's highest close
- 0.5 = Midpoint of range
**Key Features:**
- Dynamic horizontal levels (default 15/85) for overbought/oversold zones
- Color-coded momentum direction:
- Beta turns red when expanding volatility
- Gamma turns green when strengthening momentum
- Candle visualization reinforces gamma's directional bias
- All calculations adapt automatically to the user-defined lookback period
**Interpretation Guide:**
- Gamma > 0.15 suggests overbought conditions
- Gamma < 0.85 indicates oversold territory
- Converging Alpha/Beta signals range contraction
- Gamma candles + line color alignment confirms trend strength
*Usage: Best applied to identify mean-reversion opportunities and confirm breakout/breakdown scenarios in ranging markets.*
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This description maintains technical accuracy while being accessible to traders, with clear attribution to najoomi ji as the creator.
Equal Highs and Lows - [TEH]This script is a powerful tool for identifying and visualizing equal highs and lows in the market. It offers traders a way to spot potential support and resistance levels, which can be crucial for making informed trading decisions.
Key Features:
Equal High and Low Detection: The script scans a user-defined lookback period to find price levels where highs or lows are equal to the current bar's high or low.
Customizable Appearance:
Line colors for highs and lows
Line width and style (solid, dashed, or dotted)
Option to extend lines to the right of the chart
Dynamic Line Management:
The script automatically removes lines when price breaches them, keeping the chart clean and relevant.
Text Labels:
Optional text labels can be added to the lines, with customizable text, color, and size.
Functions and Usage:
Main Functions:
findAndDrawEqualHighs(): Identifies equal highs and draws lines connecting them.
findAndDrawEqualLows(): Identifies equal lows and draws lines connecting them.
checkAndRemoveBreachedLines(): Removes lines and labels when price breaks through them.
Analysis Applications:
Support and Resistance Identification: The lines drawn by the script highlight potential support (for lows) and resistance (for highs) levels5.
Trend Analysis: Multiple equal highs or lows can indicate the strength of a trend. Consecutive higher lows might suggest an uptrend, while consecutive lower highs could indicate a downtrend.
Breakout Detection:
When price breaks through a line, it could signal a potential trend change or continuation.
Range Trading:
Identifying equal highs and lows can help traders spot ranging markets and potential boundaries for range-based strategies.
Risk Management:
The lines can be used as reference points for setting stop-loss orders or take-profit targets.
Customization and Flexibility:
The script offers extensive customization options, allowing traders to tailor the indicator to their specific needs and visual preferences. This flexibility makes it suitable for various trading styles and timeframes.
By providing a clear visual representation of equal highs and lows, this script enhances a trader's ability to analyze market structure and make more informed decisions. It's a valuable addition to any trader's toolkit, especially those focusing on technical analysis and price action trading.
RSI (Pr)The "RSI (Pr)" indicator enhances the traditional Relative Strength Index (RSI) by incorporating dynamic bands and highlighting extreme market conditions directly on the price chart. This approach offers traders a more intuitive visualization of potential overbought and oversold zones, facilitating timely decision-making.
Key Features:
Dynamic RSI Bands: The indicator calculates upper and lower bands based on user-defined overbought and oversold levels. These bands adjust in real-time, providing a responsive measure of market extremes.
Visual Alerts: Background colors change when the price moves outside the RSI bands, offering immediate visual cues of potential market reversals.
Buy/Sell Signals: The script places "BUY" and "SELL" labels on the chart when the price crosses above or below the RSI bands, assisting traders in identifying potential entry and exit points.
How It Works:
RSI Calculation: The script computes the RSI based on the closing price and a user-defined length (default is 14 periods).
Exponential Moving Averages (EMA): It calculates the EMA of the maximum gains and losses to smooth out the data, enhancing the reliability of the RSI bands.
Upper and Lower Bands: Using the smoothed data, the script determines the upper (resistance) and lower (support) bands, which represent dynamic overbought and oversold levels.
Visual Indicators: The script plots the upper and lower bands, as well as a midline, directly on the price chart. Background colors change when the price exceeds these bands, and "BUY" or "SELL" labels appear at crossover points.
Usage:
Overbought Conditions: When the price crosses above the upper band, it may indicate an overbought condition, suggesting a potential selling opportunity.
Oversold Conditions: When the price crosses below the lower band, it may indicate an oversold condition, suggesting a potential buying opportunity.
Customization:
Users can adjust the following parameters to suit their trading preferences:
RSI Overbought Level: Default is 70.
RSI Oversold Level: Default is 30.
RSI Length: Default is 14 periods.
Disclaimer:
This indicator is designed for educational purposes and should not be construed as financial advice. Trading involves significant risk, and it's essential to conduct thorough research and consider your financial situation before making trading decisions. Past performance is not indicative of future results.
By integrating dynamic RSI bands and clear visual signals directly onto the price chart, this indicator aims to provide traders with actionable insights into market conditions, enhancing the traditional RSI analysis.
WAGMI LAB Trend Reversal Indicator HMA-Kahlman (m15)WAGMI HMA-Kahlman Trend Reversal Indicator
This indicator combines the Hull Moving Average (HMA) with the Kahlman filter to provide a dynamic trend reversal signal, perfect for volatile assets like Bitcoin. The strategy works particularly well on lower timeframes, making it ideal for intraday trading and fast-moving markets.
Key Features:
Trend Detection: It uses a blend of HMA and Kahlman filters to detect trend reversals, providing more accurate and timely signals.
Volatility Adaptability: Designed with volatile assets like Bitcoin in mind, this indicator adapts to rapid price movements, offering smoother trend detection during high volatility.
Easy Visualization: Buy (B) and Sell (S) signals are clearly marked with labels, helping traders spot trend shifts quickly and accurately.
Trendlines Module: The indicator plots trendlines based on pivot points, highlighting important support and resistance levels. This helps traders understand the market structure and identify potential breakout or breakdown zones.
Customizable: Adjust the HMA and Kahlman parameters to fit different assets or trading styles, making it flexible for various market conditions.
Usage Tips:
Best Timeframes: The indicator performs exceptionally well on lower timeframes (such as 15-minute to 1-hour charts), making it ideal for scalping and short-term trading strategies.
Ideal for Volatile Assets: This strategy is perfect for highly volatile assets like Bitcoin, but can also be applied to other cryptocurrencies and traditional markets with high price fluctuations.
Signal Confirmation: Use the trend signals (green for uptrend, red for downtrend) along with the buy/sell labels to help you confirm potential entries and exits. It's also recommended to combine the signals with other technical tools like volume analysis or RSI for enhanced confirmation.
Trendline Analysis: The plotted trendlines provide additional visual context to identify key market zones, supporting your trading decisions with a clear view of ongoing trends and possible reversal areas.
Risk Management: As with any strategy, always consider proper risk management techniques, such as stop-loss and take-profit levels, to protect against unforeseen market moves.
Wagmi Lab- Bitcoin H4 Buy Sell Signals This indicator, designed primarily for Bitcoin on the H4 timeframe, is a versatile tool that can also be applied to other assets and timeframes by adjusting its parameters. It combines Exponential Moving Averages (EMAs), MACD (Moving Average Convergence Divergence), and a crossover filtering mechanism to generate reliable buy and sell signals. The indicator is ideal for traders looking to identify trend direction and potential entry/exit points with added precision.
Key Features:
Customizable EMAs and MACD:
Fast EMA (default: 12): Tracks short-term price momentum.
Slow EMA (default: 26): Tracks long-term price momentum.
Signal SMA (default: 9): Smooths the MACD line to generate the signal line.
MACD Crossover Signals:
The indicator calculates the MACD line and signal line to identify potential buy and sell opportunities.
Buy signals are generated when the MACD line crosses above the signal line, indicating bullish momentum.
Sell signals are generated when the MACD line crosses below the signal line, indicating bearish momentum.
Crossover Strength Filter:
A minimum crossover distance percentage (default: 0.1%) ensures that only significant crossovers are considered, reducing false signals.
This filter helps traders avoid weak or insignificant crossovers that may not lead to strong price movements.
Trend Visualization:
The indicator highlights the trend direction by filling the area between the fast and slow EMAs with colors:
Green: Uptrend (MACD > Signal Line).
Red: Downtrend (MACD < Signal Line).
Buy/Sell Signal Markers:
Buy signals are marked with green circles below the price bars.
Sell signals are marked with red circles above the price bars.
These markers provide clear visual cues for potential entry and exit points.
Adaptable to Other Timeframes and Assets:
While optimized for the H4 timeframe, the indicator can be adjusted for other timeframes (e.g., M15, H1, D1) by modifying the EMA and SMA settings.
It can also be applied to other assets, such as stocks, forex, or commodities, by tweaking the parameters to suit the asset's volatility and characteristics.
How to Use:
Identify Trends:
Use the colored areas (green for uptrend, red for downtrend) to determine the overall market direction.
Wait for Confirmation:
Look for buy or sell signals (green or red circles) that align with the trend direction.
Ensure the crossover meets the minimum distance requirement to filter out weak signals.
Enter and Exit Trades:
Enter a long position when a buy signal appears during an uptrend.
Enter a short position or exit a long position when a sell signal appears during a downtrend.
Adjust Settings for Other Timeframes/Assets:
Experiment with the EMA and SMA periods to optimize the indicator for different timeframes or assets.
Why Use This Indicator?
Precision: The crossover strength filter reduces noise and false signals.
Versatility: Works across multiple timeframes and assets with customizable settings.
Visual Clarity: Clear trend visualization and signal markers make it easy to interpret.
This indicator is a powerful tool for traders seeking to capitalize on Bitcoin's volatility or other assets' price movements, providing a structured approach to identifying trends and potential trading opportunities.
High-Probability IndicatorExplanation of the Code
Trend Filter (EMA):
A 50-period Exponential Moving Average (EMA) is used to determine the overall trend.
trendUp is true when the price is above the EMA.
trendDown is true when the price is below the EMA.
Momentum Filter (RSI):
A 14-period RSI is used to identify overbought and oversold conditions.
oversold is true when RSI ≤ 30.
overbought is true when RSI ≥ 70.
Volatility Filter (ATR):
A 14-period Average True Range (ATR) is used to measure volatility.
ATR is multiplied by a user-defined multiplier (default: 2.0) to set a volatility threshold.
Ensures trades are only taken during periods of sufficient volatility.
Entry Conditions:
Long Entry: Price is above the EMA (uptrend), RSI is oversold, and the candle range exceeds the ATR threshold.
Short Entry: Price is below the EMA (downtrend), RSI is overbought, and the candle range exceeds the ATR threshold.
Exit Conditions:
Take Profit: A fixed percentage above/below the entry price.
Stop Loss: A fixed percentage below/above the entry price.
Visualization:
The EMA is plotted on the chart.
Background colors highlight uptrends and downtrends.
Buy and sell signals are displayed as labels on the chart.
Alerts:
Alerts are triggered for buy and sell signals.
How to Use the Indicator
Trend Filter:
Only take trades in the direction of the trend (e.g., long in an uptrend, short in a downtrend).
Momentum Filter:
Look for oversold conditions in an uptrend for long entries.
Look for overbought conditions in a downtrend for short entries.
Volatility Filter:
Ensure the candle range exceeds the ATR threshold to avoid low-volatility trades.
Risk Management:
Use the built-in take profit and stop loss levels to manage risk.
Optimization Tips
Backtesting:
Test the indicator on multiple timeframes and assets to evaluate its performance.
Adjust the input parameters (e.g., EMA length, RSI length, ATR multiplier) to optimize for specific markets.
Combination with Other Strategies:
Add additional filters, such as volume analysis or support/resistance levels, to improve accuracy.
Risk Management:
Use proper position sizing and risk-reward ratios to maximize profitability.
Disclaimer
No indicator can guarantee an 85% win ratio due to the inherent unpredictability of financial markets. This script is provided for educational purposes only. Always conduct thorough backtesting and paper trading before using any strategy in live trading.
Let me know if you need further assistance or enhancements!
MF TimeWaves Predictor: Find future Top and Bottom PivotsThe script allows to predict future pivot tops and bottoms "dates" by studying the chart.
For it, it detects the past pivots and project new ones on the future
It might be useful for swing trading
You might want to enable the "Automatically modify settings" options if you want to use my default settings for different timeframes
Note: It does not offers any prediction for future prices, just dates
Enjoy!
Liquidity Heatmap & Volume-Weighted RSILiquidity Heatmap Indicator with Volume-Weighted RSI
Description:
The Liquidity Heatmap Indicator with Volume-Weighted RSI (VW-RSI) is a powerful tool designed for traders to visualize market liquidity zones while integrating a volume-adjusted momentum oscillator. This indicator provides a dynamic heatmap of liquidity levels across various price points and enhances traditional RSI by incorporating volume weight, making it more responsive to market activity.
Key Features:
Liquidity Heatmap Visualization: Identifies high-liquidity price zones, allowing traders to spot potential areas of support, resistance, and accumulation.
Volume-Weighted RSI (VW-RSI): Enhances the RSI by factoring in trading volume, reducing false signals and improving trend confirmation.
Customizable Sensitivity: Users can adjust parameters to fine-tune heatmap intensity and RSI smoothing.
Dynamic Market Insights: Helps identify potential price reversals and trend strength by combining liquidity depth with momentum analysis.
How to Use:
1. Identify Liquidity Zones: The heatmap colors indicate areas of high and low liquidity, helping traders pinpoint key price action areas.
2. Use VW-RSI for Confirmation: When VW-RSI diverges from price near a liquidity cluster, it signals a potential reversal or continuation.
3. Adjust Parameters: Fine-tune the RSI period, volume weighting, and heatmap sensitivity to align with different trading strategies.
This indicator is ideal for traders who rely on order flow analysis, volume-based momentum strategies, and liquidity-driven trading techniques.
ELHAI Futures Trend Checker (ES, NQ, YM)The ELHAI Futures Trend Checker is a powerful TradingView indicator designed for futures traders who want to monitor the trend synchronization of the three major U.S. futures indices:
✅ E-mini S&P 500 (ES1!)
✅ E-mini Nasdaq 100 (NQ1!)
✅ E-mini Dow Jones (YM1!)
This indicator checks whether all three futures indices are bullish or bearish during each candle formation. If one of them is out of sync (e.g., two indices are bullish while one is bearish), the indicator triggers an alert and highlights the background in red, helping traders identify potential market indecision or divergence.
Key Features
📌 Designed for Futures Traders – Focuses on ES, NQ, and YM futures contracts.
📌 Live Market Monitoring – Works in real-time and updates dynamically with each tick.
📌 Bullish/Bearish Trend Confirmation – Detects when all three indices are in sync.
📌 Mismatch Detection – Alerts you when at least one index is out of trend.
📌 Custom Alerts – Set up TradingView alerts to be notified instantly when a trend mismatch occurs.
📌 Visual Background Highlight – A red background warns of a market divergence.
How It Works
The script retrieves open and close prices for ES, NQ, and YM.
Determines whether each futures index is bullish (close > open) or bearish (close < open).
If all three indices are bullish or all are bearish, it remains neutral.
If one index is different, an alert is triggered and the background turns red.
How to Use
Apply the indicator to your TradingView chart.
Choose any timeframe – Works well on intraday, daily, or higher timeframes.
Enable alerts: Go to Alerts → Create Alert, select "Futures Trend Mismatch", and set your preferred alert frequency.
Use alongside other indicators like moving averages, RSI, or MACD for better trade confirmation.
Best Use Cases
✔ Day traders & scalpers – Quickly spot market divergence in live trading.
✔ Swing traders – Identify when futures markets lose synchronization.
✔ Trend followers – Confirm if all major futures markets are aligned before making a move.
Final Notes
This indicator was built for Elhai to provide real-time trend analysis across major U.S. futures indices. Use it as a confirmation tool to improve market timing and decision-making.
MomentumQ MS/OBMomentumQ MS/OB - Market Structure & Order Blocks Indicator
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The MomentumQ MS/OB Indicator is a professional-grade tool designed to help traders analyze market structure, institutional order flow, and dynamic support/resistance levels.
Unlike traditional indicators, MomentumQ MS/OB leverages advanced liquidity analysis to identify key market zones, enabling traders to spot high-probability trade setups with institutional-grade precision.
A unique advantage of this indicator is its ability to generate more order blocks across all timeframes using a custom lookback setting. This feature enhances intraday order block creation, giving traders a clearer view of market liquidity shifts in lower timeframes while remaining effective in higher timeframes.
Additionally, the dynamic support and resistance plotting system automatically adjusts based on market structure, ensuring traders have a real-time, adaptive view of key price levels. Unlike static support/resistance indicators, these dynamic zones shift based on price action, helping traders identify breakouts, retests, and liquidity traps more accurately.
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Key Features
1. Market Structure & Institutional Order Blocks
Detects institutional bullish and bearish order blocks, helping traders locate high-liquidity zones.
Real-time zone updates keep traders focused on the most relevant price levels.
Generates more order blocks in every timeframe, making it ideal for intraday and long-term trading strategies.
2. Smart Dynamic Support & Resistance Detection
Uses historical price action to identify high-impact support and resistance zones dynamically.
Updates automatically in response to price action, keeping traders focused on valid trading zones.
Helps traders anticipate breakouts, reversals, and liquidity traps in real time.
3. Institutional-Grade Price Action Analysis
Advanced algorithmic validation filters weak order blocks, ensuring only the strongest setups are displayed.
Customizable settings allow traders to adjust the indicator’s sensitivity based on their trading style.
4. Professional-Level Charting & Customization
Fully adjustable visuals – Traders can toggle features such as:
Bullish/Bearish Order Block Zones
Boundary Lines
Market Structure Levels
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How It Works
Institutional Order Blocks
The indicator scans for swing highs/lows and detects liquidity zones based on institutional price movements.
Bullish Order Blocks indicate where institutions accumulated buy orders.
Bearish Order Blocks indicate where institutions placed aggressive sell orders.
The lookback setting enhances detection, allowing traders to see more order block formations across multiple timeframes.
Market Structure & Dynamic Support/Resistance
The algorithm continuously evaluates price action and key rejection levels, dynamically adjusting support and resistance zones.
Unlike traditional static support and resistance levels, these zones shift with real-time market conditions.
Helps traders determine trend direction and anticipate market reversals.
Order Block Validation
Only high-probability order blocks are displayed, eliminating weak signals and providing stronger trade opportunities.
The indicator produces more order blocks at lower timeframes, allowing for better intraday trade execution insights.
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How to Use This Indicator
Confirm institutional trading areas by analyzing bullish and bearish order block zones.
Use dynamic support and resistance levels to identify high-probability trade zones for breakouts and reversals.
Adjust the lookback setting to control the frequency of order block detection, optimizing for intraday vs. long-term trading strategies.
Combine with price action strategies to validate trade entries and exits using breakouts, retests, and rejection signals.
This indicator works for all markets, including Forex, Stocks, Crypto, Futures, and Commodities.
Supports multiple timeframes, making it suitable for scalping, swing trading, and position trading.
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Why Is This Indicator Valuable?
Unlike traditional indicators that only plot support/resistance or trend-based signals, MomentumQ MS/OB provides a complete institutional-grade trading system:
Advanced Order Block Detection – Not just generic support and resistance, but real institutional footprints.
Smart Market Structure Recognition – Tracks trend shifts before they happen.
Adjustable Lookback Feature – Generates more order blocks on lower timeframes for precise intraday trading.
Dynamic Support and Resistance Zones – Adapts in real-time, ensuring accurate trade setups.
Customizable and Professional-Grade – Suitable for traders looking for high-probability setups.
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Example Trading Strategies
1. Order Block & Break of Structure (BoS) Confirmation
Wait for price to break structure near an institutional order block.
Enter on the first retest of the order block for a high-probability trade setup.
Set stop-loss behind the order block and target the next key level.
2. Using Dynamic Support & Resistance for Reversal Trades
If price reaches a dynamic resistance level, wait for bearish confirmation such as a rejection wick or engulfing candle.
Enter short with stop-loss above resistance and target the next dynamic support level.
Works for long trades at dynamic support levels as well.
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Disclaimer
This indicator does not guarantee profits and should be used as part of a complete trading strategy. Past performance is not indicative of future results.
Hyper MA Loop | QuantEdgeBIntroducing Hyper MA Loop by QuantEdgeB
Hyper MA Loop | QuantEdgeB is an advanced trend-following indicator that leverages a custom Hyper Moving Average (HyMA) and an innovative loop-based scoring system to assess trend strength and direction. This tool is designed to provide a dynamic perspective on market momentum, allowing traders to capture trends effectively while filtering out market noise.
Key Features:
1. Hyper Moving Average (HyMA) 🟣
- A weighted moving average that enhances trend responsiveness by applying a custom
weight function.
- Ensures smoother trend detection while maintaining reactivity to price changes.
2. Loop-Based Trend Scoring 🔄
- Utilizes a for-loop function to analyze the movement of HyMA over a specified period.
- Compares current values to past values, generating a cumulative score indicating bullish or
bearish momentum.
- Dynamic thresholds adjust to market conditions for better trend filtering.
3. Threshold-Based Signal System ✅❌
- Long Signals: Triggered when the loop score exceeds the long threshold.
- Short Signals: Activated when the score falls below the short threshold.
- Avoids false signals by requiring sustained strength before confirming a trend.
4. Customizable Visualization & Colors 🎨
- Multiple color modes (Default, Solar, Warm, Cool, Classic) for tailored aesthetics.
- Extra plot options enhance visualization of market structure and volatility.
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How It Works:
- HyMA Calculation : A unique moving average with a specialized weighting function to
smooth out price action.
- Loop Function : Iterates over past HyMA values, assessing whether price is consistently
higher or lower.
- Threshold Comparison : The loop score is compared against pre-set thresholds to
determine bullish or bearish conditions.
- Signal Generation :
1. Bullish (🔵): If the score crosses the long threshold
2. Bearish (🔴): If the score drops below the short threshold.
- Plotting & Styling : Dynamic candles and gradient overlays provide an intuitive
visualization of rend shifts.
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Use Cases:
✅ Ideal for trend-following traders looking for solid trends confirmation.
✅ Helps filter out choppy market conditions by adjusting sensitivity dynamically.
✅ Works well with other indicators (e.g., ADX, volume-based filters) for added confirmation.
✅ Suitable for both short-term and long-term trend analysis.
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Customization Options:
- Adjustable HyMA Length: Modify the responsiveness of the moving average. Default se to 2.
- For-Loop Parameters: Fine-tune how far back the trend analysis should consider. Default se to Start = 1 , End = -1.
- Thresholds for Long & Short: Control signal sensitivity to market fluctuations. Default set to Long = 40, Short = 8.
- Color Modes & Extra Plots: Personalize visualization for better clarity.
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Conclusion:
The Hyper MA Loop | QuantEdgeB is a powerful, adaptive indicator that combines custom moving averages with loop-based trend analysis to deliver accurate, visually intuitive market signals. Whether you're looking to ride strong trends or filter out weak setups, this tool provides the precision and flexibility needed for effective decision-making. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
Volume & Trend Confluence OscillatorVolume & Trend Confluence Oscillator (VTCO)
Overview:
The Volume & Trend Confluence Oscillator (VTCO) is a technical analysis tool designed to help traders assess market conditions by integrating volume analysis, momentum, and trend direction into a single oscillator. This indicator provides traders with additional confirmation when evaluating potential trade entries and exits.
Key Features:
Volume Analysis: Calculates a Z-score to detect unusual trading activity.
Momentum Measurement: Evaluates the rate of price change to gauge market velocity.
Trend Confirmation: Utilizes an Exponential Moving Average (EMA) to assess overall market direction.
Signal Filtering: Incorporates minimum movement thresholds and a confirmation period to reduce false signals.
Visual Enhancements: Background shading indicates trend direction, and buy/sell markers highlight key signals.
How It Works:
The VTCO applies a volume multiplier to momentum readings when volume activity significantly deviates from its historical norm. Additionally, it prioritizes momentum moves that align with the prevailing market trend. A smoothing mechanism refines the oscillator’s signal line, ensuring a more stable and actionable output. The indicator generates alerts when key conditions are met, assisting traders in identifying potential trend shifts.
Signal Generation:
Buy Signal: Triggered when the oscillator crosses above zero after an oversold condition, ideally within an uptrend.
Sell Signal: Triggered when the oscillator crosses below zero after an overbought condition, ideally within a downtrend.
Alerts: Configurable alerts notify traders when key market conditions are met.
Usage Considerations:
Works effectively across various timeframes but may provide more reliable signals on higher timeframes.
Best utilized in conjunction with additional technical indicators and risk management strategies.
No indicator guarantees future performance; proper analysis and trade management remain essential.
Disclaimer:
This indicator is provided for educational purposes only and should not be considered financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct independent analysis before making trading decisions.
TDI 7 MA and HISTOGRAMTDI %K Histogram with 7 MA
Overview
This indicator enhances trend and momentum analysis using the %K line from the Traders Dynamic Index (TDI), combined with a 7-period moving average (MA) and a histogram.
How It Works
The script calculates %K (similar to Stochastic RSI), representing the relative price position within a given range.
A 7-period Simple Moving Average (SMA) is applied to smooth the %K line, reducing noise and improving trend clarity.
A histogram is plotted based on the difference between %K and the 7-period MA:
Green bars indicate that %K is above the 7-period MA, suggesting bullish momentum.
Red bars indicate that %K is below the 7-period MA, suggesting bearish momentum.
Key Features
-%K Line (Blue) – Reflects short-term momentum shifts.
-7-period MA (Purple) – Helps smooth out fluctuations in %K for better trend identification.
-Histogram (Green/Red Columns) – Highlights momentum shifts visually.
Overbought (68), Midpoint (50), and Oversold (32) Levels – Provides reference points for potential reversals or trend continuation.
How to Use
Bullish Confirmation: When the histogram turns green and %K is above the 7 MA, it suggests upward momentum.
Bearish Confirmation: When the histogram turns red and %K is below the 7 MA, it suggests downward momentum.
Overbought/Oversold Conditions: Use the 68 and 32 levels as potential reversal zones, but always confirm with price action.
Midpoint (50 Level): Acts as a dynamic support/resistance area for momentum shifts.
This indicator is suitable for trend-following and momentum-based trading strategies, whether on lower timeframes for scalping or higher timeframes for swing trading.
Try it out and integrate it with your trading system to refine your entries and exits!
Source StrategyThis strategy converts indicator signals into long and short entries and exits. It looks for non-zero values from your chosen entry sources to enter positions, and from exit sources to close positions.
The strategy supports both longs and shorts. For long trades, it looks at your selected long source and long exit source; for short trades, it looks at your chosen short source and short exit source. The strategy enters a position when either source produces any value except zero.
Stop loss and take profit orders are incorporated for risk management. These orders are calculated as a percentage of your position's value, providing dynamic risk management as price moves. The percentage levels for stop loss and take profit orders are configurable in the settings, allowing you to adjust your risk parameters based on market conditions and trading style.
To use the strategy, add it to your chart. The input parameters can be configured in the strategy's settings panel, including your signal sources for long and short entries and exits, and the percentage levels for stop loss and take profit orders.
