PulseHub
Get started

Sequential

Sequential Exhaustion Tracker [AGPro Series]Sequential Exhaustion Tracker 🔷 Overview Sequential Exhaustion Tracker is a price-action based trend maturity tool built for traders who want to read how far a directional candle sequence has developed, when that sequence is becoming late-stage, and whether the market is more likely to recycle the move or fail back through its terminal zone. The script is not an oscillator, not a crossover tool, and not a protected-brand sequential clone. It does not depend on classic overbought or oversold thresholds. Instead, it tracks qualified directional progress bar by bar, measures the quality of the active count, opens a visual exhaustion window when the run becomes mature, and then follows the next phase as either recycle, testing, or failure. That makes the script useful for a very specific question: Is the current directional run still building cleanly, or has it entered the kind of late-sequence area where follow-through, failure, and reset behavior need closer attention? 🔷 What The Script Measures The engine combines four practical components: 1. Directional candle count The script counts qualified progress candles in the active direction. A candle must show meaningful close-to-close progress, sufficient body commitment, and optional trend-filter alignment before it can advance the count. 2. Exhaustion threshold The count becomes mature only after it reaches the selected threshold. This avoids treating every small move as exhaustion and keeps the tool focused on developed directional sequences. 3. Exhaustion quality The quality model blends count maturity, ATR-normalized stretch from the baseline, opposing wick absorption, and body-efficiency fade. A high reading means the sequence is not only long enough, but also showing late-run characteristics. 4. Recycle/failure lifecycle Once a qualified exhaustion window appears, the script continues tracking price behavior. Strong continuation through the terminal zone can classify the sequence as recycled. A break back through the zone can classify it as failed. This turns the indicator into a lifecycle tracker instead of a one-bar label generator. 🔷 Visual Design The chart output is designed to stay premium and readable: - Compact count labels use milestone-based defaults so the chart shows sequence progress without turning into a label wall. - ATR-based label offsets keep labels away from candle bodies. - Exhaustion zones are drawn as rectangular terminal windows, not generic support/resistance blocks. - Recycle and failure markers are intentionally short and selective. - Older labels and zones are automatically removed to protect chart performance. - The summary panel uses the AGPro standard merged blue title row and a clean four-line state readout. 🔷 Panel Readout The panel summarizes the active condition in a compact format: Direction Shows whether the current qualified run is bullish, bearish, or neutral. Count Shows the active sequential count against the selected exhaustion threshold. Exhaustion Quality Shows the maturity score and the current quality band. Recycle Status Shows whether the sequence is building, mature, testing an exhaustion window, recycling, recycled, failed, or waiting. 🔷 How This Differs From Other AGPro Scripts This script is intentionally separated from AGPro oscillator exhaustion tools. Stochastic Exhaustion Map focuses on stochastic behavior, momentum fatigue, and reset context inside an oscillator framework. Williams %R Exhaustion Map focuses on Williams %R extension behavior and release-corridor logic. Sequential Exhaustion Tracker focuses on the visible candle sequence itself: directional progress, count maturity, terminal exhaustion zone, and post-exhaustion lifecycle behavior. It is also different from support/resistance reaction tools because the rectangles are not structural S/R zones. They are temporary terminal sequence windows created only when a mature count and exhaustion quality condition are present. 🔷 How This Differs From Common Sequential Count Scripts Many sequential scripts focus mainly on printing a fixed count and stopping there. Sequential Exhaustion Tracker takes a different path. It does not simply count bars for visual decoration. It asks whether the count is supported by meaningful directional progress, whether the run has become stretched relative to its own volatility, whether the candle structure is showing absorption, and what happens after the mature sequence appears. The key difference is the lifecycle layer: - Building sequence - Mature count - Exhaustion window - Testing window - Recycle build - Recycled continuation - Failed exhaustion window This gives the script a cleaner analytical role than a basic numbered label tool. 🔷 Suggested Use The script is best used as a chart-context layer for: - identifying late-stage directional runs - separating fresh continuation from mature extension - watching terminal sequence zones - studying continuation recycle behavior - spotting failed late-run pressure - keeping sequential count context visible without overcrowding the chart It is designed to complement market structure, trend context, volatility conditions, and the trader's broader workflow. 🔷 Default Settings The default settings are built for a balanced public-chart presentation: - Count threshold: 8 - Quality threshold: 62 - Trend alignment: enabled - Count label mode: Mature Milestones - Count label start: 6 - Minimum label spacing: 8 bars - Exhaustion zones: enabled - Panel: enabled - Label and panel font sizes: Normal These defaults aim to keep the chart informative without turning it into a noisy label wall. 🔷 Why It Was Built Directional markets often move in phases. Early movement can be clean and efficient. Middle movement can be supported and persistent. Late movement can still continue, but the character of the candles often starts to change. Sequential Exhaustion Tracker was built to make that progression easier to read directly on the chart. The goal is not to call every top or bottom. The goal is to show where the current sequence sits in its own lifecycle and whether the post-exhaustion behavior is confirming continuation, stalling, or failing. That narrow focus is what makes the tool distinct: it is not a general momentum dashboard, not an oscillator map, not a support/resistance engine, and not a signal checklist. It is a dedicated sequential maturity and lifecycle tracker.
Indicator
by AGProLabs
PyraTime 9 [Context Aware]PyraTime 9 is a highly customizable, noise-reduced mean-reversion indicator. While traditional sequential counting indicators are "blind" printing signals purely based on candle counts regardless of market conditions PyraTime 9 is Context Aware. It was built to solve the common problem of "catching falling knives" by filtering signals through sophisticated trend and momentum checks. Why use this over standard sequential counters? Significantly Less Noise: The "Context Aware" logic filters out low-probability signals that occur against the dominant trend. Intelligent Filtering: Unlike basic tools, you can choose how you validate trades. Filter signals using the 200 EMA, the "Master Angle" (Linear Regression Slope), or RSI Momentum. Cleaner Visuals: The chart only displays valid, high-probability 9s, keeping your workspace clean and focused. Key Features 1. Context-Aware Filtering Select how you want to validate your signals using the settings menu: EMA Trend: Filters signals based on price relation to the 200 EMA (e.g., only show Buy 9s if price is above the EMA). Master Angle: Filters signals based on the slope of Linear Regression. Both (Strict): Requires both the EMA trend and the Master Angle to align with the trade direction for maximum safety. 2. RSI Momentum Check An optional quality control filter. If enabled, the indicator ensures momentum is not already overextended against you before signaling (e.g., a Buy 9 is only valid if RSI < 50). 3. Live Performance Dashboard A premium, on-chart dashboard tracks the historical strike rate of the signals on your current timeframe. Real-Time Feedback: Instantly see if the current settings are profitable on the asset you are trading. Reaction Period: Customizable setting to define what constitutes a "Win." By default, it checks 5 bars after a signal to see if price moved in your favor. How to Use Select your Filter Mode: For trending markets, use "EMA Trend." For volatile/choppy markets, use "Master Angle." Wait for a 9: A green "9" indicates a potential buy setup; a red "9" indicates a potential sell setup. Check the Dashboard: Ensure the current asset/timeframe has a historically high strike rate (green text) before taking action. Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results.
Indicator
by PyraTime
4 Bar Sequential Counter (9 to 13) [DotGain]4-Bar Sequential Counter (Seq4) This indicator identifies potential trend exhaustion phases using a strict sequential count based on the relationship between the current closing price and the closing price four bars earlier. How it works • A bullish sequence is counted as long as the current close remains below the close from 4 bars ago. • A bearish sequence is counted as long as the current close remains above the close from 4 bars ago. • The count resets immediately if the respective condition is no longer met. • The sequence counts up to a maximum of 13 , after which it resets and a new sequence may begin. Visualization • Only counts from 9 to 13 are displayed on the chart. • Bullish sequences are plotted below price bars. • Bearish sequences are plotted above price bars. • The minimalist design keeps the chart clean and focused on potentially relevant exhaustion zones. Interpretation • A count of 9 may indicate an early sign of market overextension. • A count of 13 represents a more advanced sequence and a higher probability of consolidation or corrective price action. • This indicator is not a standalone trading system and should be used in combination with trend analysis, volume, and support/resistance levels. Alerts • Bullish sequence at 9 • Bullish sequence at 13 • Bearish sequence at 9 • Bearish sequence at 13 Disclaimer This "4-Bar Sequential Counter (9–13)" (Seq4) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. This indicator is an independent implementation of a sequential counting method and is not affiliated with, or endorsed by any trademarked trading concepts or methodologies. The signals generated by this tool (Green and Red) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital. Past performance does not guarantee future results. This indicator highlights sequential price exhaustion patterns and may generate false, lagging, or incomplete signals. Markets can remain unpredictable longer than you can remain solvent. The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
Indicator
by DotGain
Quarterly Theory ICT 05 [TradingFinder] Doubling Theory Signals🔵 Introduction Doubling Theory is an advanced approach to price action and market structure analysis that uniquely combines time-based analysis with key Smart Money concepts such as SMT (Smart Money Technique), SSMT (Sequential SMT), Liquidity Sweep, and the Quarterly Theory ICT. By leveraging fractal time structures and precisely identifying liquidity zones, this method aims to reveal institutional activity specifically smart money entry and exit points hidden within price movements. At its core, the market is divided into two structural phases: Doubling 1 and Doubling 2. Each phase contains four quarters (Q1 through Q4), which follow the logic of the Quarterly Theory: Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal. These segments are anchored by the True Open, allowing for precise alignment with cyclical market behavior and providing a deeper structural interpretation of price action. During Doubling 1, a Sequential SMT (SSMT) Divergence typically forms between two correlated assets. This time-structured divergence occurs between two swing points positioned in separate quarters (e.g., Q1 and Q2), where one asset breaks a significant low or high, while the second asset fails to confirm it. This lack of confirmation—especially when aligned with the Manipulation and Accumulation phases—often signals early smart money involvement. Following this, the highest and lowest price points from Doubling 1 are designated as liquidity zones. As the market transitions into Doubling 2, it commonly returns to these zones in a calculated move known as a Liquidity Sweep—a sharp, engineered spike intended to trigger stop orders and pending positions. This sweep, often orchestrated by institutional players, facilitates entry into large positions with minimal slippage. Bullish : Bearish : 🔵 How to Use Applying Doubling Theory requires a simultaneous understanding of temporal structure and inter-asset behavioral divergence. The method unfolds over two main phases—Doubling 1 and Doubling 2—each divided into four quarters (Q1 to Q4). The first phase focuses on identifying a Sequential SMT (SSMT) divergence, which forms when two correlated assets (e.g., EURUSD and GBPUSD, or NQ and ES) react differently to key price levels across distinct quarters. For example, one asset may break a previous low while the other maintains structure. This misalignment—especially in Q2, the Manipulation phase—often indicates early smart money accumulation or distribution. Once this divergence is observed, the extreme highs and lows of Doubling 1 are marked as liquidity zones. In Doubling 2, the market gravitates back toward these zones, executing a Liquidity Sweep. This move is deliberate—designed to activate clustered stop-loss and pending orders and to exploit pockets of resting liquidity. These sweeps are typically driven by institutional forces looking to absorb liquidity and position themselves ahead of the next major price move. The key to execution lies in the fact that, during the sweep in Doubling 2, a classic SMT divergence should also appear between the two assets. This indicates a weakening of the previous trend and adds an extra layer of confirmation. 🟣 Bullish Doubling Theory In the bullish scenario, Doubling 1 begins with a bullish SSMT divergence, where one asset forms a lower low while the other maintains its structure. This divergence signals weakening bearish momentum and possible smart money accumulation. In Doubling 2, the market returns to the previous low and sweeps the liquidity zone—breaking below it on one asset, while the second fails to confirm, forming a bullish SMT divergence. f this move is followed by a bullish PSP and a clear market structure break (MSB), a long entry is triggered. The stop-loss is placed just below the swept liquidity zone, while the target is set in the premium zone, anticipating a move driven by institutional buyers. 🟣 Bearish Doubling Theory The bearish scenario follows the same structure in reverse. In Doubling 1, a bearish SSMT divergence occurs when one asset prints a higher high while the other fails to do so. This suggests distribution and weakening buying pressure. Then, in Doubling 2, the market returns to the previous high and executes a liquidity sweep, targeting trapped buyers. A bearish SMT divergence appears, confirming the move, followed by a bearish PSP on the lower timeframe. A short position is initiated after a confirmed MSB, with the stop-loss placed 🔵 Settings ⚙️ Logical Settings Quarterly Cycles Type : Select the time segmentation method for SMT analysis. Available modes include : Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro. These define how the indicator divides market time into Q1–Q4 cycles. Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD). Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings. Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared. Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated. 🎨 Display Settings Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart. Show Labels : Displays dynamic labels (e.g., “Q2”, “Bullish SMT”, “Sweep”) at relevant points. Show Lines : Draws connection lines between key pivot or divergence points. Color Settings : Allows customization of colors for bullish and bearish elements (lines, labels, and shapes) 🔔 Alert Settings Alert Name : Custom name for the alert messages (used in PulseWire’s alert system). Message Frequenc y: All : Every signal triggers an alert. Once Per Bar : Alerts once per bar regardless of how many signals occur. Per Bar Close : Only triggers when the bar closes and the signal still exists. Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC). Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals. Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals 🔵 Conclusion Doubling Theory is a powerful and structured framework within the realm of Smart Money Concepts and ICT methodology, enabling traders to detect high-probability reversal points with precision. By integrating SSMT, SMT, Liquidity Sweeps, and the Quarterly Theory into a unified system, this approach shifts the focus from reactive trading to anticipatory analysis—anchored in time, structure, and liquidity. What makes Doubling Theory stand out is its logical synergy of time cycles, behavioral divergence, liquidity targeting, and institutional confirmation. In both bullish and bearish scenarios, it provides clearly defined entry and exit strategies, allowing traders to engage the market with confidence, controlled risk, and deeper insight into the mechanics of price manipulation and smart money footprints.
Indicator
by TradingFinder
2
Candle SequenceLooking to easily identify moments of strong market conviction? "Racha Velas" (or your chosen English name like "Consecutive Candles Streak") allows you to visualize clearly and directly sequences of consecutive bullish and bearish candles. **Key Features:** * **Real-time Counting:** Displays the number of consecutive candles directly on the chart. * **Visual Customization:** Adjust the text size and color for optimal visualization. * **Vertical Offset:** Control the position of the counter to avoid obstructions. * **Maximum Streaks Table (Optional):** Visualize the largest bullish and bearish streaks found in the chart's history, useful for understanding volatility and price behavior. * **Easy to Use:** Simply add the indicator to your chart and start analyzing. This indicator is a valuable tool for traders looking to confirm trends, identify potential exhaustion points, or simply understand price dynamics at a glance. Give it a try and discover the market's streaks! ***************************************************************************************************** ¿Buscas identificar momentos de fuerte convicción del mercado? "Racha Velas" te permite visualizar de forma clara y directa las secuencias de velas consecutivas alcistas y bajistas. **Características principales:** * **Conteo en Tiempo Real:** Muestra el número de velas consecutivas directamente en el gráfico. * **Personalización Visual:** Ajusta el tamaño y color del texto para una visualización óptima. * **Offset Vertical:** Controla la posición del contador para evitar obstrucciones. * **Tabla de Rachas Máximas (Opcional):** Visualiza las mayores rachas alcistas y bajistas encontradas en el historial del gráfico, útil para entender la volatilidad y el comportamiento del precio. * **Fácil de Usar:** Simplemente añade el indicador a tu gráfico y comienza a analizar. Este indicador es una herramienta valiosa para traders que buscan confirmar tendencias, identificar posibles agotamientos o simplemente entender la dinámica del precio en un vistazo. ¡Pruébalo y descubre las rachas del mercado!
Indicator
by anuar_amigon
Quarterly Theory ICT 04 [TradingFinder] SSMT 4Quarter Divergence🔵 Introduction Sequential SMT Divergence is an advanced price-action-based analytical technique rooted in the ICT (Inner Circle Trader) methodology. Its primary objective is to identify early-stage divergences between correlated assets within precise time structures. This tool not only breaks down market structure but also enables traders to detect engineered liquidity traps before the market reacts. In simple terms, SMT (Smart Money Technique) occurs when two correlated assets—such as indices (ES and NQ), currency pairs (EURUSD and GBPUSD), or commodities (Gold and Silver)—exhibit different reactions at key price levels (swing highs or lows). This lack of alignment is often a sign of smart money manipulation and signals a lack of confirmation in the ongoing trend—hinting at an imminent reversal or at least a pause in momentum. In its Sequential form, SMT divergences are examined through a more granular temporal lens—between intraday quarters (Q1 through Q4). When SMT appears at the transition from one quarter to another (e.g., Q1 to Q2 or Q3 to Q4), the signal becomes significantly more powerful, often aligning with a critical phase in the Quarterly Theory—a framework that segments market behavior into four distinct phases: Accumulation, Manipulation, Distribution, and Reversal/Continuation. For instance, a Bullish SMT forms when one asset prints a new low while its correlated counterpart fails to break the corresponding low from the previous quarter. This usually indicates absorption of selling pressure and the beginning of accumulation by smart money. Conversely, a Bearish SMT arises when one asset makes a higher high, but the second asset fails to confirm, signaling distribution or a fake-out before a decline. However, SMT alone is not enough. To confirm a true Market Structure Break (MSB), the appearance of a Precision Swing Point (PSP) is essential—a specific candlestick formation on a lower timeframe (typically 5 to 15 minutes) that reveals the entry of institutional participants. The combination of SMT and PSP provides a more accurate entry point and better understanding of premium and discount zones. The Sequential SMT Indicator, introduced in this article, dynamically scans charts for such divergence patterns across multiple sessions. It is applicable to various markets including Forex, crypto, commodities, and indices, and shows particularly strong performance during mid-week sessions (Wednesdays and Thursdays)—when most weekly highs and lows tend to form. Bullish Sequential SMT : Bearish Sequential SMT : 🔵 How to Use The Sequential SMT (SSMT) indicator is designed to detect time and structure-based divergences between two correlated assets. This divergence occurs when both assets print a similar swing (high or low) in the previous quarter (e.g., Q3), but in the current quarter (e.g., Q4), only one asset manages to break that swing level—while the other fails to reach it. This temporal mismatch is precisely identified by the SSMT indicator and often signals smart money activity, a market phase transition, or even the presence of an engineered liquidity trap. The signal becomes especially powerful when paired with a Precision Swing Point (PSP)—a confirming candle on lower timeframes (5m–15m) that typically indicates a market structure break (MSB) and the entry of smart liquidity. 🟣 Bullish Sequential SMT In the previous quarter, both assets form a similar swing low. In the current quarter, one asset (e.g., EURUSD) breaks that low and trades below it. The other asset (e.g., GBPUSD) fails to reach the same low, preserving the structure. This time-based divergence reflects declining selling pressure, potential absorption, and often marks the end of a manipulation phase and the start of accumulation. If confirmed by a bullish PSP candle, it offers a strong long opportunity, with stop-losses defined just below the swing low. 🟣 Bearish Sequential SMT In the previous quarter, both assets form a similar swing high. In the current quarter, one asset (e.g., NQ) breaks above that high. The other asset (e.g., ES) fails to reach that high, remaining below it. This type of divergence signals weakening bullish momentum and the likelihood of distribution or a fake-out before a price drop. When followed by a bearish PSP candle, it sets up a strong shorting opportunity with targets in the discount zone and protective stops placed above the swing high. 🔵 Settings ⚙️ Logical Settings Quarterly Cycles Type : Select the time segmentation method for SMT analysis. Available modes include: Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro. These define how the indicator divides market time into Q1–Q4 cycles. Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD). Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings. Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection. Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active). Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared. Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated. 🎨 Display Settings Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart. Show Bullish SMT Line : Draws a line connecting the bullish divergence points. Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected. Bullish Color : Sets the color for bullish SMT markers (label, shape, and line). Show Bearish SMT Line : Draws a line for bearish divergence. Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found. Bearish Color : Sets the color for bearish SMT visual elements. 🔔 Alert Settings Alert Name : Custom name for the alert messages (used in PulseWire’s alert system). Message Frequency : All: Every signal triggers an alert. Once Per Bar: Alerts once per bar regardless of how many signals occur. Per Bar Close: Only triggers when the bar closes and the signal still exists. Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC). Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals. Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals 🔵 Conclusion The Sequential SMT (SSMT) indicator is a powerful and precise tool for identifying structural divergences between correlated assets within a time-based framework. Unlike traditional divergence models that rely solely on sequential pivot comparisons, SSMT leverages Quarterly Theory, in combination with concepts like liquidity sweeps, market structure breaks (MSB) and precision swing points (PSP), to provide a deeper and more actionable view of market dynamics. By using SSMT, traders gain not only the ability to identify where divergence occurs, but also when it matters most within the market cycle. This empowers them to anticipate major moves or traps before they fully materialize, and position themselves accordingly in high-probability trade zones. Whether you're trading Forex, crypto, indices, or commodities, the true strength of this indicator is revealed when used in sync with the Accumulation, Manipulation, Distribution, and Reversal phases of the market. Integrated with other confluence tools and market models, SSMT can serve as a core component in a professional, rule-based, and highly personalized trading strategy.
Indicator
by TradingFinder
8
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.
Indicator
by Pineify
7
Consecutive count backtester / Flowly Indicators- Overview Consecutive counting is a simple method to mechanically define trending states to the upside and downside. Consecutive counts are calculated by taking reference price level (e.g. close 4 candles ago) and count closes above/below it up to a maximum count that resets the consecutive count back to 1. This tool provides the means to backtest each count by measuring % change in price after each count (e.g. % gain 2 candles after a given count). Users can define reference source that starts the consecutive count (e.g. close 4 candles ago), maximum count where counter resets (e.g. after 9th count) and backtesting period (e.g. price change 2 candles after count). Filters add extra conditions that must be met on the consecutive count to qualify as valid, which are also reflected on the backtest metrics. The counts can be refined using the following filters: - RSI above/below X - Price above/below/at moving average of choice - Relative volume above/below X Average gain corresponding to each count as they occur can be toggled off for less clutter. Average price change can also be visualized using candle color. Colors, gradient and table/label sizes are fully customizable. - Practical guide Example #1: Identify reversal potential Consecutive counting is a simple yet effective method to for detecting reversals, for which 7-9 counts are traditionally used. Whether that holds true or not can now be put through a test with different variations of the method as well as using additional filters to improve the probability of a turn. Example #2: Identify trend following potential Consecutive counts can also have utility value for trend following. When historical short term change is to the downside, expect downside, when to the upside, expect upside.
Indicator
by FlowlyIndicators
2
Trend Reversal Alerts Strategy [lite]This strategy was created as experimental and after playing around with it, I was able to realize what is a good way to base your strategy on and what is not. This one is most primitive way and you should not expect gains from it(it's best on the weekly btw). Anyway, all my attempts to advance this strategy in the end gave me around 1%2% +Net Profit on the hourly timeframe and drastically reduced the Net Profit by 50% on the weekly, so I think it is a waste of my time, but if you feel like you have ideas to share with me, please feel free to comments below!
Strategy
by sequentialvision
Real-time market data and financial news In-depth global business and economic analysis Live stock quotes and portfolio tools
Link Terkait
Live stock quotes and portfolio tools
Comprehensive trading education and market insights