QQE Trend Confluence [MarkitTick]💡 A dual-engine QQE (Quantitative Qualitative Estimation) confluence oscillator that layers eight selectable pre-smoothing algorithms, a secondary confirmation QQE pair, ADX and higher-timeframe bias gating, and a fully automated ATR-based trade planner with webhook-ready alert payloads on top of the classic Wilder RSI-trailing-stop concept.
✨ Originality and Utility
This script does not simply reproduce the stock QQE oscillator. It restructures the calculation into a layered decision pipeline where a signal only qualifies after passing through several independent, user-toggleable filters, turning a single momentum flip into a multi-factor confluence check.
The source price is first routed through a selectable pre-smoothing stage offering eight distinct algorithms, ranging from classic moving averages to a proprietary slope-projection method and a recursive Kalman estimator, before it ever reaches the QQE math. This changes the responsiveness and noise profile of every signal generated downstream.
A second, independently parameterized QQE instance runs in parallel purely as a confirmation gate, meaning a raw crossover on the primary pair is discarded unless a slower QQE pair already agrees with its direction.
An ADX/DMI strength filter and a non-repainting higher-timeframe bias filter can each independently veto a signal, so traders can require trend strength and multi-timeframe agreement without writing their own confluence logic.
The script goes beyond signal generation into trade management: a built-in ATR trade planner converts a qualifying cross into a full stop-loss and three-tiered take-profit plan, drawn directly on the chart and tracked bar by bar.
A structured JSON alert payload system is built into every signal and trade-management event, making the tool usable as the signal engine for an external automation or webhook pipeline without any manual message formatting.
The combination of these components is deliberate rather than incidental: the pre-smoothing stage shapes what "signal" means, the dual-QQE and filter stack decides which of those signals are trustworthy, and the trade planner and alert system decide what to do once a signal is accepted. Removing any one layer would leave a materially different and less complete tool, which is why they are published together as a single confluence system rather than as separate scripts.
🔬 Methodology and Concepts
• Adaptive Pre-Smoothing Engine
Before the source price reaches the QQE engine, it can optionally be passed through one of eight smoothing or prediction methods, selectable from a dropdown. This determines how "clean" or "responsive" the underlying momentum reading is.
Simple, Exponential and Wilder (RMA) moving averages behave as their standard definitions.
A double weighted moving average applies a WMA to the result of a first WMA pass, compounding the weighting effect for extra lag reduction.
A triple volume-weighted moving average chains three successive VWMA passes, folding volume into the trend estimate at each stage.
The Hull Moving Average uses the standard weighted-difference technique to reduce lag relative to a simple weighted average.
The proprietary LLAMA method computes a simple moving average baseline over the lookback window, then measures the linear slope of price across that same window (the difference between the current source and the value from "length" bars back, divided by length). That slope is then projected forward by half the lookback length and added to the SMA baseline. The practical effect is a moving average that leans ahead of price during a steady trend and collapses back toward a standard SMA when price is flat or choppy.
The Kalman Filter option treats the source price as a noisy observation of an underlying "true" trend state. It maintains an internal estimate and error variance, computes a Kalman gain each bar from a length-derived process-noise assumption and a fixed measurement-noise assumption, and blends the new price observation into the estimate proportionally to that gain, producing a smoothing curve that adapts its own responsiveness over time.
• Dual QQE Core
The QQE concept itself works by smoothing an RSI reading with an EMA, then measuring the average magnitude of bar-to-bar changes in that smoothed RSI (a Wilder-style double-smoothed "ATR of RSI"), and multiplying it by a factor to build a trailing envelope around the smoothed RSI line. This trailing level only moves in the direction the RSI is already travelling and locks in place, ratchet-style, whenever RSI reverses, similar in spirit to a classic ATR trailing stop but applied in RSI space rather than price space. A cross of the smoothed RSI over or under this trailing level marks a momentum shift. This script runs two such QQE instances simultaneously: a faster primary pair that generates the raw crossover, and an optional slower secondary pair whose sole purpose is confirmation, a signal from the primary pair is only accepted if the secondary pair's RSI-to-trail relationship already agrees with the same direction.
• Confirmation Filters
An optional ADX/DMI filter, built on Wilder's Average Directional Index, requires trend strength to be above a user-defined threshold before a signal is allowed through, filtering out crosses that occur during flat, directionless conditions.
An optional higher-timeframe bias filter pulls the same QQE relationship (smoothed RSI versus trailing level) from a user-selected higher timeframe and requires it to agree with the direction of the current-timeframe signal. This request is built using the previous, already-confirmed value on the higher timeframe combined with lookahead-on merging, which is the standard non-repainting pattern for higher-timeframe data: the value shown on any historical bar is the same value that would have been available to a trader watching in real time.
• ATR-Based Trade Planner
Once a signal clears every enabled filter, the script computes a stop-loss using the 14-period Average True Range multiplied by a user-defined multiple, anchored to the prior bar's close. Three take-profit levels are then derived from that risk distance using independently configurable risk:reward ratios. These levels are drawn as extending price lines with labels and shaded risk/reward zone fills, and the script continuously checks, bar by bar, whether price has touched each take-profit or the stop-loss, retiring the plan once the final target or the stop is hit. A lock control can freeze the currently displayed plan so it does not get replaced by a new signal while a trade is being managed.
• Signal Confirmation Behavior
The crossover state that drives every signal is always evaluated using the prior, already-completed bar's smoothed RSI and trailing-level relationship rather than the still-forming current bar. In practical terms, this means a BULL or BEAR marker only ever prints once the underlying cross is confirmed, and it does not shift position or disappear on subsequent price updates within the same bar.
• Automation-Ready Alerts
Every entry, exit, and trade-management event (long entry, short entry, close-long, close-short, and each of the three take-profit levels plus stop-loss) is wrapped in its own alert condition and also emits a structured JSON message through a single dynamic alert call, gated to fire only once per confirmed bar close for entries. Each JSON message includes the instrument, timeframe, and an editable action keyword, allowing the same signal engine to be wired directly into an external automation or webhook workflow.
🎨 Visual Guide
In the indicator's own pane: the blue RSI MA line is the primary smoothed-RSI reading, the yellow Smoothed Trail line is its dynamic trailing envelope, and the histogram plotted around the zero line reflects the distance between the two, colored teal on the bullish side and red on the bearish side.
Dashed reference lines at 70 and 30 mark overbought and oversold RSI zones with a light shaded fill between each level and the 50 midline when enabled.
On the price chart itself: candles can be recolored using a four-tone scheme, strong bullish teal and weak bullish dark teal, or strong bearish red and weak bearish dark red, with a neutral gray used whenever the current QQE distance is smaller than its own running average, giving an at-a-glance read on momentum strength as well as direction.
BULL and BEAR labeled arrows print just below or above the triggering candle whenever a fully confirmed signal fires.
When trade levels are enabled, dashed lines and small labels for the stop-loss, entry, and three take-profit levels extend to the right from the signal bar, with the area between entry and stop shaded as a risk zone and the area between entry and the furthest target shaded as a reward zone.
An optional multi-row dashboard panel, placeable in any chart corner, summarizes the instrument and timeframe, lock status, current bias, the raw RSI MA and Trail Level values, an ASCII progress-bar style RSI strength meter, the secondary confluence state, the higher-timeframe bias, the ADX reading and pass/fail color, the currently active pre-smoothing method, the ATR value, the DI+/DI- readings, a momentum strength bar, and the active trade's direction and price levels.
📖 How to Use
Treat a BULL or BEAR arrow as the point where every enabled filter, the primary cross, the secondary QQE confirmation, the ADX gate, and the higher-timeframe bias, has already agreed on a direction.
Use candle color intensity and histogram height as a secondary read on how strong the current momentum reading is relative to its own recent average, rather than as a standalone signal.
Scan the dashboard's Bias, Confluence, and HTF Bias rows for a fast multi-factor summary without needing to inspect the oscillator pane directly.
Enable the trade levels option to have the script draw a stop-loss and three take-profit targets automatically on each qualifying signal, and use the lock control to freeze that plan in place while managing an open position.
Adjust the ATR stop multiple and the three risk:reward ratios to match your own risk tolerance before relying on the drawn levels.
For automation, create a TradingView alert using the "Any alert() function call" option to receive the full JSON payload stream, or use the individual named alert conditions if only a single event type is needed.
This tool is a momentum and confluence framework, not a complete trading system on its own. Combine it with your own market structure, support/resistance, or volatility context before acting on any signal.
⚙️ Inputs and Settings
Core Settings: RSI Length and RSI EMA Smoothing control the primary QQE's momentum lookback and responsiveness; QQE Factor scales how wide the trailing envelope sits from the smoothed RSI; Source selects the price series feeding the whole calculation; the secondary QQE toggle, along with its own EMA smoothing and factor, controls the confirmation pair.
Filters: the ADX toggle, length, and threshold control the trend-strength gate; the Adaptive Filter dropdown and length select which of the eight pre-smoothing methods (including LLAMA and the Kalman Filter) is applied to price before the QQE math runs; the HTF filter toggle and timeframe control the higher-timeframe bias confirmation.
Trade Tools: toggles for showing trade levels and locking the current signal, an ATR multiple for stop-loss distance, and three independent risk:reward ratios for the three take-profit targets.
Visuals: independent toggles for the overbought/oversold zone fill, the histogram, the crossover arrows, and the color-matched candles.
Dashboard: a toggle to show or hide the panel and a dropdown to choose which chart corner it docks to.
Alerts: editable text fields defining the action keyword sent in the JSON payload for each of the eight tracked events, letting the output match whatever automation platform is receiving it.
Colors: a full set of color pickers covering the oscillator lines, histogram, zones, arrows, candle tones, trade-planning lines and fills, and dashboard styling, purely cosmetic and with no effect on calculations.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The foundation of the oscillator is J. Welles Wilder Jr.'s Relative Strength Index and his broader family of smoothed volatility and trend-strength tools, including the Average True Range concept and the Average Directional Index used here as an optional filter.
The QQE structure itself extends Wilder's trailing-stop logic, normally applied to price, into RSI space: an ATR-style measure of RSI's own volatility is used to build a ratcheting trailing envelope around the smoothed RSI line, conceptually related to other ATR-trailing-stop tools such as Chandelier Exit or SuperTrend but operating on a momentum oscillator rather than raw price.
The Hull Moving Average option is built on Alan Hull's weighted-difference technique for reducing the inherent lag of weighted moving averages.
The LLAMA pre-smoothing option applies a basic linear extrapolation principle, projecting a simple moving average forward using the measured slope of price across the same lookback window, a lightweight analogue of trend-extrapolation methods used in linear regression forecasting.
The Kalman Filter option is a direct application of Rudolf Kálmán's recursive estimation framework, treating price as a noisy observation of an unobserved underlying trend state and updating that estimate bar by bar using a dynamically computed gain, a technique widely used in modern adaptive filtering and signal processing.
The ATR trade planner applies standard volatility-based position planning, using a multiple of Average True Range to size a stop distance and deriving profit targets from fixed risk:reward multiples of that same distance.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicateur
EDUVEST QQE Grade System - S/A/B/C Signal ClassificationEDUVEST QQE Grade System - S/A/B/C Signal Classification
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█ ORIGINALITY
This indicator introduces a unique grading system (S/A/B/C) for QQE signals, combining traditional QQE analysis with SMC (Smart Money Concepts) price zones and trading session filters. Unlike standard QQE indicators that show all signals equally, this version classifies signals by quality to help traders focus on the highest probability setups.
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█ WHAT IT DOES
- Generates BUY/SELL signals with S/A/B/C grade classification
- Automatically detects asset type and applies optimized QQE factors
- Integrates SMC price zones (support/resistance) for grade enhancement
- Filters signals by trading session time
- Displays real-time session and market status
Grade Hierarchy:
- S (Gold/Orange): Signal near SMC zone + active trading hours - Highest quality
- A (Green/Red): Score 70+ during trading hours - High quality
- B (Darker): Score 50-69 during trading hours - Medium quality
- C (Gray, small): Outside trading hours or weak signal - Low quality
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█ HOW IT WORKS
【QQE Core Calculation】
The QQE (Quantitative Qualitative Estimation) is calculated as:
1. RSI with configurable period (default: 14)
2. EMA smoothing of RSI (Smoothing Factor: 5)
3. Dynamic bands using Wilder's smoothing: RSI ± (ATR of RSI × QQE Factor)
QQE Factor is auto-adjusted per asset:
- USD/JPY: 4.238
- EUR/USD: 3.8
- Gold (XAU/USD): 8.0
- NASDAQ/US100: 9.0
【Signal Generation】
- BUY: QQE line crosses above its trailing stop (QQExlong == 1)
- SELL: QQE line crosses below its trailing stop (QQExshort == 1)
【Internal Scoring System】
Score components (0-100):
- Signal Base: +25 points when signal occurs
- QQE Strength: +10 to +20 based on RSI distance from 50
- Volatility: +15 (optimal ATR ratio 1.1-2.0), -10 (low volatility)
- Volume Confirmation: +10 (high volume), -5 (low volume)
- Session Bonus: +5 during London/NY sessions
- Base: +20 points
【Grade Assignment】
- Grade S: Signal near user-defined SMC price zone (within tolerance %) AND during trading hours
- Grade A: Internal score >= 70 AND during trading hours
- Grade B: Internal score >= 50 AND during trading hours
- Grade C: Outside trading hours OR score < 50
【SMC Price Zone Integration】
Users can set support/resistance levels for each asset. When price is within the tolerance percentage of these levels, signals are upgraded to S-grade, indicating confluence with institutional price levels.
【Trading Session Filter】
Configurable active trading hours (JST timezone):
- Default: 15:00 - 01:00 JST (London + NY overlap)
- Signals outside this window receive C-grade
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H
- Best on: USD/JPY, EUR/USD, Gold, NASDAQ
- Focus on: S and A grade signals
【Trading Strategy】
- S-Grade (Gold/Orange): Highest conviction - consider larger position
- A-Grade (Green/Red): Strong signal - standard position
- B-Grade: Valid but use additional confirmation
- C-Grade: Avoid or use minimal size
【Setting Up SMC Zones】
1. Identify key support/resistance on higher timeframe
2. Input prices in SMC Price Settings
3. Adjust tolerance % (default: 0.15%)
4. S-grade appears when signal occurs near these levels
【Info Panel】
Top-right panel shows:
- Asset name and detection mode (Auto/Manual)
- Current session (Tokyo/London/NY)
- Trading hours status
- SMC zone proximity
【Alert Setup】
1. Enable alerts in settings
2. Create alert with "Any alert() function call"
3. Alerts include grade, price, and session info
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█ SETTINGS
Basic Settings:
- Enable Alerts: Turn on/off notifications
- Time Filter: Activate trading hour filter
- Start/End Hour: Define active trading window (JST)
QQE Settings:
- RSI Period: RSI calculation period
- RSI Smoothing: EMA smoothing factor
- Auto QQE Factor: Auto-detect optimal factor per asset
- Manual QQE Factor: Override when auto is disabled
SMC Price Settings:
- Support/Resistance levels for each asset
- Tolerance %: How close to SMC line for S-grade
Display Settings:
- Grade Only: Hide QQE lines, show only signals
- Show SMC Lines: Display support/resistance on chart
- Show Debug: Display asset detection info
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█ CREDITS
QQE concept originally developed by John Ehlers.
SMC (Smart Money Concepts) integration and grading system by EduVest.
License: Mozilla Public License 2.0 Indicateur
EDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring SystemEDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring System
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█ ORIGINALITY
This indicator combines QQE (Quantitative Qualitative Estimation) with HMA (Hull Moving Average) and introduces a unique AI-based scoring system that rates signal quality from 0-100. Unlike traditional QQE indicators that show simple buy/sell signals, this version categorizes signals into four strength levels: BIG CHANCE, SUPER, POWER, and STRONG.
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█ WHAT IT DOES
- Generates scored BUY/SELL signals with quality ratings (60-100 points)
- Categorizes signals into 4 strength levels for easy decision making
- Supports Multi-Timeframe (MTF) analysis
- Auto-detects asset type and applies optimized QQE factors
- Provides customizable alerts based on score thresholds
Signal Hierarchy:
- 💰 BIG CHANCE (90-100): Highest probability setups
- ⚡ SUPER (80-89): Very strong signals
- 🚀 POWER (70-79): Strong signals with HMA confluence
- 💪 STRONG (60-69): Standard quality signals
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█ HOW IT WORKS
【QQE Calculation】
QQE is based on a smoothed RSI with dynamic bands:
1. Calculate RSI with specified period (default: 14)
2. Apply EMA smoothing to RSI (Smoothing Factor, default: 5)
3. Calculate ATR of the smoothed RSI
4. Create dynamic bands: RSI ± (ATR × QQE Factor)
The QQE Factor is automatically adjusted per asset:
- Forex (USDJPY, EURUSD): 3.8 - 4.238
- Gold (XAUUSD): 8.0
- Crypto (BTC): 12.0, (ETH): 10.0
- Indices (NASDAQ): 4.238
【HMA Calculation】
Hull Moving Average for trend confirmation:
HMA = WMA(2 × WMA(price, n/2) - WMA(price, n), √n)
【Signal Generation】
- BUY: QQE crosses above its band (QQExlong == 1)
- SELL: QQE crosses below its band (QQExshort == 1)
【AI Scoring System】
The score is calculated from multiple factors:
Signal Base (0-35 points):
- QQE + HMA confluence: +35
- QQE or HMA alone: +25
QQE Strength (10-25 points):
- RSI distance from 50 (momentum strength)
- >30 distance: +25, >20: +20, >10: +15, else: +10
Volatility Score (-10 to +15 points):
- ATR ratio 1.1-2.0: +15 (optimal volatility)
- ATR ratio <0.8: -10 (low volatility warning)
Volume Confirmation (-5 to +15 points):
- Volume > 120% of average: +15
- Volume < 80% of average: -5
Base Points: +15
Final Score = Clamped(0, 100, sum of all factors)
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 5M, 15M, 1H, 4H
- Best on: Forex, Gold, NASDAQ, BTC/ETH
- Minimum Score: 60 (adjustable)
【Reading Signals】
- BIG CHANCE (Gold label, 90+): Highest conviction - consider larger position
- SUPER (Yellow label, 80-89): Very strong - standard position
- POWER (Cyan/Magenta label, 70-79): Strong with trend confirmation
- STRONG (Green/Red label, 60-69): Valid but use additional confirmation
【MTF Feature】
Enable MTF to analyze signals from a higher timeframe while viewing lower timeframe charts. The indicator auto-selects 5-minute as the analysis timeframe, or you can set it manually.
【Alert Setup】
1. Enable alerts in settings
2. Set minimum score threshold (default: 60)
3. Create alert with "Any alert() function call"
【Important Notes】
- Signals are confirmed at bar close (no repainting)
- Higher scores = higher probability, not guaranteed profits
- Always use proper risk management
- Consider market context and support/resistance levels
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█ SETTINGS
⏱️ MTF Settings
- MTF Use: Enable multi-timeframe analysis
- Manual Timeframe: Override auto-detection
- Show Panel: Display info panel (default: OFF)
🎨 Design
- Neon Colors: Vibrant color scheme
- Show HMA Line: Display HMA on chart
- Minimum Score: Filter weak signals
- Label Transparency: Adjust label opacity
- Large Labels: Mobile-friendly sizing
🔧 QQE Settings
- RSI Period: RSI calculation period
- Smoothing: EMA smoothing factor
- AI Score: Enable scoring system
🔔 Alerts
- Enable Alerts: Turn on/off notifications
- Minimum Score: Alert threshold
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█ CREDITS
QQE concept originally developed by John Ehlers.
HMA (Hull Moving Average) by Alan Hull.
Enhanced with scoring system and MTF support by EduVest.
License: Mozilla Public License 2.0 Indicateur
Supertrend + BB + Consecutive Candles + QQE + EMA [Pineify]Overview
This indicator, developed by Pineify, is a comprehensive tool designed to assist traders in making informed decisions by combining multiple technical analysis methods. It integrates Supertrend, Bollinger Bands (BB), Consecutive Candles, Quantitative Qualitative Estimation (QQE), and Exponential Moving Averages (EMA) into a single, cohesive script. This multi-faceted approach allows traders to analyze market trends, volatility, and potential buy/sell signals with greater accuracy.
Key Features
1. Supertrend: Utilizes the Supertrend indicator to identify the prevailing market trend. It provides clear buy and sell signals based on the direction of the trend.
2. Bollinger Bands (BB): Measures market volatility and identifies overbought or oversold conditions. The script calculates the middle, upper, and lower bands, along with the Bollinger Band Width (BBW) and Bollinger Band %B (BBR).
3. Consecutive Candles: Detects sequences of consecutive bullish or bearish candles, providing signals when a specified number of consecutive candles are detected.
4. Quantitative Qualitative Estimation (QQE): Combines the Relative Strength Index (RSI) with a smoothing factor to generate buy and sell signals based on the QQE methodology.
5. Exponential Moving Averages (EMA): Includes both fast and slow EMAs to identify potential crossovers, which are used as buy and sell signals.
How It Works
- Supertrend: The Supertrend indicator is calculated using a factor and ATR length. It plots the trend direction and generates buy/sell signals when the trend changes.
- Bollinger Bands: The BB indicator calculates the middle band as a Simple Moving Average (SMA) of the closing prices. The upper and lower bands are derived by adding and subtracting a multiple of the standard deviation from the middle band.
- Consecutive Candles: This feature counts the number of consecutive candles that close higher or lower than the previous candle. When the count reaches a specified threshold, it generates a buy or sell signal.
- QQE: The QQE indicator smooths the RSI values and calculates the QQE Fast and QQE Slow lines. Buy and sell signals are generated based on the crossover of these lines.
- EMA: The script calculates fast and slow EMAs and generates buy/sell signals based on their crossovers.
How to Use
1. Inputs: Customize the indicator settings through the input parameters:
- Supertrend Factor and ATR Length
- BB Length
- Consecutive Candles Counting
- QQE RSI Length
- Fast and Slow EMA Lengths
- Enable/Disable Alerts for various signals
2. Alerts: Set up alerts for Supertrend, Consecutive Candles, and EMA crossovers. Alerts can be enabled or disabled based on user preference.
3. Visualization: The indicator plots the Supertrend, Bollinger Bands, and EMA lines on the chart. It also marks buy and sell signals with arrows and labels for easy identification.
Concepts Underlying Calculations
- Supertrend: Based on the Average True Range (ATR) to determine the trend direction and potential reversal points.
- Bollinger Bands: Utilizes standard deviation to measure market volatility and identify overbought/oversold conditions.
- Consecutive Candles: A method to detect momentum by counting consecutive bullish or bearish candles.
- QQE: Enhances the traditional RSI by smoothing it and using a dynamic threshold to generate signals.
- EMA: A widely used moving average that gives more weight to recent prices, making it responsive to market changes.
This indicator is a powerful tool for traders looking to combine multiple technical analysis methods into a single, easy-to-use script. By integrating these diverse techniques, it provides a comprehensive view of market conditions and potential trading opportunities.
Indicateur
Triple EMA + QQE Trend Following Strategy [TradeDots]The "Triple EMA + QQE Trend Following Strategy" harnesses the power of two sophisticated technical indicators, the Triple Exponential Moving Average (TEMA) and the Qualitative Quantitative Estimation (QQE), to generate precise buy and sell signals. This strategy excels in capturing shifts in trends by identifying short-term price momentum and dynamic overbought or oversold conditions.
HOW IT WORKS
This strategy integrates two pivotal indicators:
Triple Exponential Moving Average (TEMA): TEMA enhances traditional moving averages by reducing lag and smoothing the data more effectively. It achieves this by applying the EMA formula three times onto the price, as follows:
tema(src, length) =>
ema1 = ta.ema(src, length)
ema2 = ta.ema(ema1, length)
ema3 = ta.ema(ema2, length)
tema = 3*ema1 - 3*ema2 + ema3
This computation helps to sharpen the sensitivity to price movements.
Qualitative Quantitative Estimation (QQE): The QQE indicator improves upon the standard RSI by incorporating a smoothing mechanism. It starts with the standard RSI, overlays a 5-period EMA on this RSI, and then enhances the result using a double application of a 27-period EMA. A slow trailing line is then derived by multiplying the result with a factor number. This approach establishes a more refined and less jittery trend-following signal, complementing the TEMA to enhance overall market timing during fluctuating conditions.
APPLICATION
Referenced from insights on "Trading Tact," the strategy implementation follows:
First of all, we utilize two TEMA lines: one set at a 20-period and the other at a 40-period. Then following the rules below:
40-period TEMA is rising
20-period TEMA is above 40-period TEMA
Price closes above 20-period TEMA
Today is not Monday
RSI MA crosses the Slow trailing line
This strategy does not employ an active take profit mechanism; instead, it utilizes a trailing stop loss to allow the price to reach the stop loss naturally, thereby maximizing potential profit margins.
DEFAULT SETUP
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 80%
Users are advised to adjust and personalize this trading strategy to better match their individual trading preferences and style.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Reference:
Trading Tact. What Is the QQE Indicator? Retrieved from: tradingtact.com Stratégie
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On-Chart QQE of RSI on Variety MA [Loxx]On-Chart QQE of RSI on Variety MA (Quantitative Qualitative Estimation) is usually calculated using RSI. This version is uses an RSI of a Moving Average instead. The results are completely different than the original QQE. Also, this version is drawn directly on chart. There are four types of signals.
What is QQE?
Quantitative Qualitative Estimation (QQE) is a technical analysis indicator used to identify trends and trading opportunities in financial markets. It is based on a combination of two popular technical analysis indicators - the Relative Strength Index (RSI) and Moving Averages (MA).
The QQE indicator uses a smoothed RSI to determine the trend direction, and a moving average of the smoothed RSI to identify potential trend changes. The indicator then plots a series of bands above and below the moving average to indicate overbought and oversold conditions in the market.
The QQE indicator is designed to provide traders with a reliable signal that confirms the strength of a trend or indicates a possible trend reversal. It is particularly useful for traders who are looking to trade in markets that are trending strongly, but also want to identify when a trend is losing momentum or reversing.
Traders can use QQE in a number of different ways, including as a confirmation tool for other indicators or as a standalone indicator. For example, when used in conjunction with other technical analysis tools like support and resistance levels, the QQE indicator can help traders identify key entry and exit points for their trades.
One of the main advantages of the QQE indicator is that it is designed to be more reliable than other indicators that can generate false signals. By smoothing out the price action, the QQE indicator can provide traders with more accurate and reliable signals, which can help them make more profitable trading decisions.
In conclusion, QQE is a popular technical analysis indicator that traders use to identify trends and trading opportunities in financial markets. It combines the RSI and moving average indicators and is designed to provide traders with reliable signals that confirm the strength of a trend or indicate a possible trend reversal.
What is RSI?
RSI stands for Relative Strength Index . It is a technical indicator used to measure the strength or weakness of a financial instrument's price action.
The RSI is calculated based on the price movement of an asset over a specified period of time, typically 14 days, and is expressed on a scale of 0 to 100. The RSI is considered overbought when it is above 70 and oversold when it is below 30.
Traders and investors use the RSI to identify potential buy and sell signals. When the RSI indicates that an asset is oversold, it may be considered a buying opportunity, while an overbought RSI may signal that it is time to sell or take profits.
It's important to note that the RSI should not be used in isolation and should be used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
This indicator makes use of the following libraries:
Loxx's Moving Averages
Loxx's Expanded Source Types
Extras
Alerts
Signals
Signal Types
Change on Levels
Change on Slope
Change on Zero
Change on Original
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MAGIC MACDMAGIC MACD ( MACD Indicator with Trend Filter and EMA Crossover confirmation and Momentum). This MACD uses Default Trading view MACD
from Technical indicators library and adding a second MACD along with 3 EMA's to detect Trend and confirm MACD Signal.
Eliminates usage of 3different indicators (Default MACD , MACD-2,EMA5, EMA20, EMA50)
Basic IDEA.
Idea is to filter Histogram when price is above or below 50EMA. Similar to QQE -mod oscillator but Has a EMA Filter
1.Take DEFAULT MACD crossover signals with lower period
2.check with a Higher MACD Histogram.
3.Enter upon EMA crossover signal and Histogram confirmation.
Histogram changes to GRAY when price is below EMA 50 or above EMA 50 (Follows Trend)
4.Exit on next Default MACD crossover signal.
Overview :
Moving Average Convergence Divergence Indicator Popularly Known as MACD is widely used. MACD Usually generates a lots of False signals
and noise in Lower Time Frames, making it difficult to enter a trade in sideways market. Divergence is a major issue along with sideways
movement and tangling of MACD and Signal Lines. There is no way to confirm a Default MACD signal, except to switch time frames and
verify.
Magic MACD Can be used to in combination with other signals.
This MACD uses two MACD Signals to verify the signal given by Default MACD . The Histogram Plot shown is of a higher period
MACD (close,5,50,30) values. When a signal is generated on a lower MACD it is verified by the histogram with higher time period.
Technicals Used:
1. Lower MACD-1 values 12,26 and signal-9 (crossover Signals)
2. Higher MACD-2 values 5,50 and signal-30 (Histogram)
3. EMA 50 (Histogram Filter to allow only if price above or below Ema 50)
4. EMA 5 and EMA 20 for crossover confirmation of trend
What's is in this Indicator?
1.Histogram-(higher period 5,50 and 30signal)
2. MACD crossover Signals-(lower period Default MACD setting)
3.Signal Lines-( EMA 5 & 20)
Implemented & Removed in this Indicator
1. Default MACD and Signal Lines are removed completely
2. MACD crossover are taken on lower periods and plotted as signals(Blue Triangle or Red Triangle)
3. Histogram is plotted from a higher Period providing a clear picture with Higher Time period
4. EMA 5 and EMA 20 are used for MACD signal confirmation
How to use?
Up Signal
1. MACD Default (12,26,30) up signals are shown in Blue
2. Wait till the Histogram changes Blue
3. Look for EMA signals crossover near by
Down Signal
1. MACD Default (12,26,30) up signals are shown in Red
2. Wait till the Histogram changes Red
3. Look for EMA signals crossover near by
Do's
Consider only opposite color as signals
1. Red Triangle on Blue Histogram(likely to move down direction)
2. Blue Triangle on Red Histogram (Likely to move up direction)
Don'ts
1.Ignore Blue Signal on Blue Histogram (pull back signals can be used to enter trade if you miss first crossover)
2.Ignore Red Signal on Red Histogram(pull back signals can be used to enter trade if you miss first crossover)
3.Ignore Up and Down signals till Gray or Blacked out area is finished in Histogram
Tips:
1. EMA plot also shows pull back areas along with signals
2.side by side opposite signals shows sides ways movement
3. EMA 5,20 is plotted on MACD Histogram for Additional Benefit
Thanks & Credits
To Tradingview Team for allowing me to use their default MACD version and coding it in to a MAGIC MACD by adding a few lines of code that
makes it more enhanced.
Warning...!
This is purely for Educational purpose only. Not to be used as a stand alone indicator. Usage is at your own Risk. Please get familiar with its working before implementing. Its not a Financial Advice or Suggestion . Any losses or gains is at your own risk. Indicateur
RSI & BB QQE Mod (highlight)This script is a combination of the RSI, QQE and BB
Here is an explanation on how I combined them, and how they are used:
- RSI (Relative Strength Index)
- Display a smoothed version of the RSI to identify "oversold" and "overbought" market phases
- Used to calculate a QQE
- QQE (Quantitative Qualitative Estimation)
- Used to identify trend direction and trend strength
- Used to set a basis for the BB
- BB (Bollinger Bands)
- Used with QQE as a basis to determine a relative definition of "high RSI" and "low RSI"
- Used with QQE as a basis to determine the volatility of the RSI at a given moment
- Used to predict pivot points
Here are the main signals:
- When "RSI Smoothed" line above the Upper BB then "RSI Smoothed" line turns green
- Also , display green background color highlight
- Also , and if "RSI Smoothed" is above the overbought line then display a second green background color highlight
- When "RSI Smoothed" line bellow the Lower BB then "RSI Smoothed" line turns red
- Also , display red background color highlight
- Also , and if "RSI Smoothed" is bellow the oversold line then display a second red background color highlight
A tool codded to be aesthetically pleasing and VERY customisable:
- Designed for both light theme and dark theme users
- Value can be easily modified in the settings
- Colors can be easily swapped in the settings
- Opacity of "fill" & "bgcolor" regrouped as a single input
A tool codded to be easy to read and to learn from:
- Sources and inspirations all listed within the script
- Structure easily identifiable (to understand with little to no effort how the script works)
Notes :
- This script is lagging, because of that I do recommend using it on relatively large timeframe
- This script is OpenSource, feel free to reuse it, but if so please remember to include a link to my script in your sources
- This script is not a magical tool, use at your own risk Indicateur
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95.
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This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이".
"코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe.
### Entry Logic
1. Long Entry Logic
- Super Trend Short -> Long
- close > SSL Hybrid baseline upper k
- QQE MOD should be blue
2. Short Entry Logic
- Super Trend Long -> Short
- close < SSL Hybrid baseline lower k
- QQE MOD should be red
### Exit Logic
1. Long Exit Logic
- Super Trend Long -> Short
2. Short Entry Logic
- Super Trend Short -> Long
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD indicator manually if you want to see QQE MOD.
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*** Rating: True or False?
### Rating:
→ 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ True but not a 'perfect true'.
→ It did made a small profit on 15 minute timeframe. But it made a profit so it's true.
→ It worked well in longer timeframe. I think super trend works well so I will work on this further.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ Crypto like BTC, ETH was ok.
→ The result was better when I use EMA filter.
### Robust?
→ Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable).
→ Also, MDD was good under risk management option on.
**********************************************************************************
*** Conclusion?
→ I recommend you not to use this on short timeframe as the youtuber first mentioned.
→ In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
Stratégie
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Revolver Oscillator Strategy 1.2 (RSI+UO+MFI)ROS (Revolver Oscillator Strategy)
Version 1.2
Description
This script combines three popular oscillators (RSI, Ultimate Oscillator and MFI) to accurately determine the price momentum of an asset.
Context
- RSI (Relative Strength Index) is a momentum oscillator that measures the speed and change of price movements over a period of time (14).
- Ultimate Oscillator uses three different periods (7, 14, and 28) to represent short, medium, and long-term market trends.
- Money Flow Index (MFI) is a momentum indicator that measures the flow of money into and out over a period of time. It is related to the Relative Strength Index (RSI) but incorporates volume, whereas the RSI only considers price
How does it work?
When a RED bar appears, it means that the three oscillators have exceeded the set thresholds, and it is a SELL signal.
When a GREEN bar appears, it means that the three oscillators are below the set thresholds, and it is a BUY signal.
I recommend leaving the default settings. Indicateur
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Jurik CFB Adaptive QQE [Loxx]Jurik CFB Adaptive QQE is a Double Jurik-Filtered, Composite Fractal Behavior (CFB) adaptive, Qualitative Quantitative Estimation indicator. This indicator includes both fixed and the CFB adaptive calculations as well as three different types of RSI calculations including Jurik's RSX.
What is Qualitative Quantitative Estimation (QQE)?
The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index ( RSI ) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR).
There are many indicators for many purposes. Some of them are complex and some are comparatively easy to handle. The QQE indicator is a really useful analytical tool and one of the most accurate indicators. It offers numerous strategies for using the buy and sell signals. Essentially, it can help detect trend reversal and enter the trade at the most optimal positions.
What is Wilders' RSI?
The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
What is RSX RSI?
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
What is Rapid RSI?
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine.
RapidRSI resembles Wilder's RSI , but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
What is Composite Fractal Behavior (CFB)?
All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets.
Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration.
Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action.
The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit!
This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic.
CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate
Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Included
-Toggle bar color on/off Indicateur
Adaptive Qualitative Quantitative Estimation (QQE) [Loxx]Adaptive QQE is a fixed and cycle adaptive version of the popular Qualitative Quantitative Estimation (QQE) used by forex traders. This indicator includes varoius types of RSI caculations and adaptive cycle measurements to find tune your signal.
Qualitative Quantitative Estimation (QQE):
The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index (RSI) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR).
There are many indicators for many purposes. Some of them are complex and some are comparatively easy to handle. The QQE indicator is a really useful analytical tool and one of the most accurate indicators. It offers numerous strategies for using the buy and sell signals. Essentially, it can help detect trend reversal and enter the trade at the most optimal positions.
Wilders' RSI:
The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
RSX RSI:
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
Rapid RSI:
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine.
RapidRSI resembles Wilder's RSI , but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
VHF Adaptive Cycle:
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Band-pass Adaptive Cycle:
Even the most casual chart reader will be able to spot times when the market is cycling and other times when longer-term trends are in play. Cycling markets are ideal for swing trading however attempting to “trade the swing” in a trending market can be a recipe for disaster. Similarly, applying trend trading techniques during a cycling market can equally wreak havoc in your account. Cycle or trend modes can readily be identified in hindsight. But it would be useful to have an objective scientific approach to guide you as to the current market mode.
There are a number of tools already available to differentiate between cycle and trend modes. For example, measuring the trend slope over the cycle period to the amplitude of the cyclic swing is one possibility.
We begin by thinking of cycle mode in terms of frequency or its inverse, periodicity. Since the markets are fractal ; daily, weekly, and intraday charts are pretty much indistinguishable when time scales are removed. Thus it is useful to think of the cycle period in terms of its bar count. For example, a 20 bar cycle using daily data corresponds to a cycle period of approximately one month.
When viewed as a waveform, slow-varying price trends constitute the waveform's low frequency components and day-to-day fluctuations (noise) constitute the high frequency components. The objective in cycle mode is to filter out the unwanted components--both low frequency trends and the high frequency noise--and retain only the range of frequencies over the desired swing period. A filter for doing this is called a bandpass filter and the range of frequencies passed is the filter's bandwidth.
Included:
-Toggle on/off bar coloring
-Customize RSI signal using fixed, VHF Adaptive, and Band-pass Adaptive calculations
-Choose from three different RSI types
Visuals:
-Red/Green line is the moving average of RSI
-Thin white line is the fast trend
-Dotted yellow line is the slow trend
Happy trading! Indicateur
Super Sniper - Screener - MTF- Multi Asset -Multi IndicatorSuper Sniper Screener with Multi Indicator EMA Crossover, Trend, ADX, MACD, SSL, CCI, STOCHASTIC, RSI, HMA, QQE, WAE. Trade Entry/Exit with multiple Indicator for Multiple Assets and Multiple Timeframe. if you are on a Higher / Lower Time frame and are looking for Entry/Exit based on a lower timeframe then this indicator is the best. The all in one screener for EMA Crossover, Trend, ADX, MACD, SSL, CCI, STOCHASTIC, RSI, HMA, QQE, WAE
What is Sniper Entry?
if you are on a Higher / Lower Time frame and are looking for Entry/Exit based on a lower timeframe then this indicator is the best.
About this indicator.
horizontal Lines are in pink (down) and blue(up) color grey (neutral)
10 horizontal lines are plotted each for a timeframe + Asset / Currency / Stock
Back ground represents UP/DOWN Trend based on EMA 200 with the current time frame.
RED-Dot and GREEN-Dot are buy sell signals of SSL Channel for current Time Frame.
You can choose only one type of indicator (EMA Crossover, Trend, ADX, MACD, SSL, CCI, STOCHASTIC, RSI, HMA, QQE, WAE) for all the 10-lines
Select Asset and Timeframe for Each Line on the Graph.
Based on the color of the line and changes on Multi Timeframe you can ENTER/EXIT a Trade on current Timeframe.
Hence a Sniper Entry with multiple Indicator Screener Indicateur
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