Reversal Probability Zone & Levels [LuxAlgo]The Reversal Probability Zone & Levels tool allows traders to identify a zone starting from the last detected reversal to highlight the probability of where the next reversal would be from a price and time perspective.
Price and time levels within the zone are displayed for up to 4 percentiles defined by the user.
🔶 USAGE
By default, the tool displays a zone with the 25th, 50th, 75th and 90th percentiles on both the price and time axis, indicating where, when and how many of the past reversals have occurred.
Traders can select the length for swing detection and the maximum number of reversals for probability calculations. The tool considers both bullish and bearish reversals separately, which means that if the last reversal was a swing high, the zone would show the probabilities for the last defined Maximum reversals
The Maximum reversals value has a direct impact on the probabilities, the more data traders use the more significant the result, probabilities over 10 occurrences are far weak compared to probabilities over 1000 occurrences.
🔹 Percentiles
Traders can fine-tune the percentile parameters in the settings panel.
A given percentile means that the number of occurrences in the data set is less than or equal to the percentile.
In English, this means
Percentile 20th: 20% of the occurrences are less than or equal to this value, so 80% of the occurrences are greater than this value.
Percentile 50th: 50% of the occurrences are below and 50% are above this value.
Percentile 80th: 80% of occurrences are lower than or equal to this value, so 20% of occurrences are greater than this value.
🔹 Normalize data
The Normalize Data feature allows traders to make an apples to apples comparison when we have a lot of historical data on high timeframe charts, using returns between swings instead of raw price.
🔹 Display Style
By default, the tool has the No overlapping feature enabled to display a clean chart, traders can turn it off, but this can fill the chart with too much information and barely see the price.
Traders can enable/disable settings to show only the last zone and the swing markers on the chart.
🔶 SETTINGS
Swing Length: The maximum length in bars used to identify a swing
Maximum Reversals: Maximum number of reversals included in calculations
Normalize Data: Use returns between swings instead of raw price
Percentiles: Enable/disable each of the four percentiles and select the percentile number, line style, colors, and size
🔹 Style
No Overlapping Zones: Enable or disable the No overlap between zones feature
Show Only Last Zone: Enable/disable display of last zone only
Show Marks: Enable/disable reversal markers
Indicateurs et stratégies
On-chain Zscore | QuantumResearchQuantumResearch On-chain Zscore Indicator
The On-chain Zscore Indicator by QuantumResearch is a cutting-edge tool designed for traders and analysts who leverage on-chain metrics to assess Bitcoin’s market conditions. This indicator calculates a composite Z-score using three key on-chain metrics: NUPL (Net Unrealized Profit/Loss), SOPR (Spent Output Profit Ratio), and MVRV (Market Value to Realized Value). By normalizing these values through standard deviations, the indicator provides a dynamic, data-driven approach to identifying overbought and oversold conditions, improving market timing and decision-making.
1. Overview
This indicator integrates multiple on-chain metrics to:
Assess Market Cycles – Utilize Z-score normalization to detect potential tops and bottoms.
Smooth Volatility – Apply EMA and standard deviation filtering to refine signals.
Identify Buy & Sell Signals – Use adaptive thresholds to highlight market extremes.
Provide Visual Clarity – Color-coded bar signals and background fills for intuitive analysis.
2. How It Works
A. Z-score Calculation
What is a Z-score? – The Z-score measures how far a data point deviates from its historical mean in terms of standard deviations. This helps in identifying statistical extremes.
Zscore(source,mean,std)=>
zscore = (source-mean)/std
zscore
Standard Deviation Normalization – Each on-chain metric (NUPL, SOPR, MVRV) is individually standardized before being combined into a final score.
B. On-Chain Components
NUPL Z-score – Measures unrealized profits and losses relative to market cycles.
SOPR Z-score – Evaluates profit-taking behavior on spent outputs.
MVRV Z-score – Assesses whether Bitcoin is overvalued or undervalued based on market cap vs. realized cap.
C. Composite On-chain Score
The indicator computes an average Z-score of the three on-chain metrics to create a composite market assessment.
Adaptive thresholds (default: 0.73 for bullish signals, -0.44 for bearish signals) dynamically adjust based on market conditions.
3. Visual Representation
This indicator features color-coded elements and dynamic threshold visualization:
Bar Colors
Green Bars – Bullish conditions when Z-score exceeds the upper threshold.
Red Bars – Bearish conditions when Z-score drops below the lower threshold.
Gray Bars – Neutral market conditions.
Threshold Bands & Background Fill
Upper Band (Overbought) – Default threshold set at 0.73.
Middle Band – Neutral zone at 0.
Lower Band (Oversold) – Default threshold set at -0.44.
4. Customization & Parameters
This indicator is highly configurable, allowing traders to fine-tune settings based on their strategy:
On-Chain Z-score Settings
NUPL Z-score Length – Default: 126 periods
SOPR Z-score Length – Default: 111 periods
MVRV Z-score Length – Default: 111 periods
Signal Thresholds
Upper Threshold (Bullish Zone) – Default: 0.73
Lower Threshold (Bearish Zone) – Default: -0.44
Color & Visual Settings
Choose from eight customizable color modes to suit personal preferences.
5. Trading Applications
The On-chain Zscore Indicator is versatile and can be applied in various market scenarios:
Macro Trend Analysis – Identify long-term market tops and bottoms using normalized on-chain metrics.
Momentum Confirmation – Validate price action trends with SOPR & MVRV behavior.
Market Timing – Use deviation thresholds to enter at historically significant price zones.
Risk Management – Avoid overextended markets by watching for extreme Z-score readings.
6. Final Thoughts
The QuantumResearch On-chain Zscore Indicator provides a unique approach to market evaluation by combining three critical on-chain metrics into a single, normalized score.
By standardizing Bitcoin’s market behavior, this tool helps traders and investors make informed decisions based on historical statistical extremes.
Backtesting and validation are essential before using this indicator in live trading. While it enhances market analysis, it should be used alongside other tools and strategies.
Disclaimer: No indicator can guarantee future performance. Always use appropriate risk management and perform due diligence before trading.
RSI On SteroidsThe RSI On Steroids indicator combines the Relative Strength Index (RSI) with the Augmented Dickey-Fuller (ADF) test to enhance trend identification and reduce market noise. This hybrid approach allows traders to detect stronger market movements with greater accuracy, making it useful for both trend confirmation and mean-reversion strategies.
By integrating RSI’s momentum-based insights with the ADF test’s statistical validation of trend persistence, this tool helps filter out weak signals, improving overall market analysis.
How It Works
- The RSI component measures momentum and overbought/oversold conditions based on user-defined upper and lower bands.
- The ADF test analyzes price action, determining whether the market is trending or reverting to a mean.
- Moving Average (MA) smoothing can be applied to both RSI and ADF values, helping to refine signals and reduce short-term fluctuations.
- Threshold levels for both indicators allow for the identification of breakout opportunities or mean-reversion setups.
- Optional bar coloring and background visualization improve clarity, highlighting bullish and bearish conditions.
How to Use It
1. Trend Confirmation & Reversals:
(a) If RSI breaks above the upper band, it signals strong upward momentum.
(b) If ADF crosses above its threshold, it validates a potential trend breakout.
(c) When both RSI and ADF align, the signal is stronger, confirming momentum shifts or trend continuations.
2. Smoothing for Noise Reduction:
(a) Enable MA smoothing to filter out short-term fluctuations and identify clearer signals.
(b) Choose from SMA, EMA, VWMA, WMA, HMA, and RMA to match market conditions and trading preferences.
3. Visual Cues for Decision Making:
(a) Bar and background colors dynamically update based on market conditions.
(b) RSI and ADF plots (optional) allow deeper analysis for traders who prefer visual confirmation.
Default Settings & Recommended Usage
- RSI Period: 16
- RSI MA Length: Enabled 10, EMA
- Upper RSI Band: 54 | Lower RSI Band: 22
- ADF Lookback Period: 20
- ADF MA Smoothing: Enabled 34, EMA
- Upper ADF Threshold: -1.45 | Lower ADF Threshold: -2.3
- Default Settings Adjusted for 2D timeframe for reliable trend confirmation and reversion signals.
Conclusion
The RSI On Steroids indicator merges momentum analysis (RSI) with statistical validation (ADF test) to offer a more robust and precise approach to trend detection. By filtering out market noise and identifying stronger price movements, traders can gain better insights into trend continuations and reversals.
- Important Note: No trading indicator guarantees future results. Historical performance does not predict future success.
- Strategic Consideration: Traders should fine-tune settings, validate signals with additional analysis, and apply risk management strategies to optimize this indicator for real-world trading.
ADF For GsThe ADF For Gs indicator implements the Augmented Dickey-Fuller (ADF) test, a statistical method commonly used to determine if a time series is mean-reverting or following a trend. By applying Moving Average (MA) smoothing, this indicator provides an adaptive way to detect market conditions where price action is either trending or reverting to a mean.
How It Works
- The ADF test statistic is calculated within a rolling window defined by the lookback period.
- The lag length is adjustable to account for serial correlation in price changes.
- The test statistic is compared to pre-defined threshold levels (upperEntry and lowerEntry) to identify potential trend breaks and reversals.
- Users can smooth the ADF values with different Moving Average types (SMA, EMA, VWMA, WMA, HMA, RMA), providing flexibility in signal interpretation.
- The indicator also includes dynamic bar and background coloring, visually enhancing trend and reversal conditions.
How to Use It
1. Trend vs. Mean Reversion:
(a) When the ADF statistic crosses above the upper threshold, it suggests a potential trend breakout.
(b) When it crosses below the lower threshold, it indicates a potential mean reversion.
2. Moving Average Smoothing:
(a) If useMA is enabled, the ADF values are smoothed using a selected MA type to filter noise.
(b) This allows for a more gradual trend-following approach.
3. Visual Cues:
(a) Background color changes to indicate bullish or bearish conditions.
(b) Candles are color-coded based on crossover signals to highlight entry/exit opportunities.
Default Settings & Recommended Usage
- Default period: 22 bars (4D timeframe recommended)
- MA smoothing enabled with a 23-length EMA
- Upper Entry level: -1.4 | Lower Entry level: -2.3
- Best used in trending markets to confirm breakout or mean reversion trades
Conclusion
The ADF For Gs indicator is designed to detect market trends and reversals by applying the Augmented Dickey-Fuller (ADF) test with Moving Average smoothing. By combining statistical validation with adaptive trend filtering, it helps traders separate meaningful price movements from temporary fluctuations. Whether used to confirm trends or identify mean-reversion opportunities, this tool provides a structured, data-driven approach to market analysis.
- Important Note: No trading indicator can predict future price movements with certainty. Historical performance does not guarantee future results.
- Best Practices: To get the most out of this indicator, traders should test different settings, validate signals with additional tools, and use proper risk management. Adjusting parameters to suit individual strategies can improve accuracy and overall effectiveness.
Smoothed Low-Pass Butterworth Filtered Median [AlphaAlgos]Smoothed Low-Pass Butterworth Filtered Median
This indicator is designed to smooth price action and filter out noise while maintaining the dominant trend. By combining a Butterworth low-pass filter with a median-based smoothing approach , it effectively reduces short-term fluctuations, allowing traders to focus on the true market direction.
How It Works
Median Smoothing: The indicator calculates the 50th percentile (median) of closing prices over a customizable period , making it more robust against outliers compared to traditional moving averages.
Butterworth Filtering: A low-pass filter is applied using an approximation of the Butterworth formula , controlled by the Cutoff Frequency , helping to eliminate high-frequency noise while preserving trends.
EMA Refinement: A 7-period EMA is applied to further smooth the signal, providing a more reliable trend representation.
Features
Trend Smoothing: Reduces market noise and highlights the dominant trend.
Dynamic Color Signals: The EMA line changes color to indicate trend strength and direction.
Configurable Parameters: Customize the median length, cutoff frequency, and EMA length to fit your strategy.
Versatile Use Case: Suitable for both trend-following and mean-reversion strategies.
How to Use
Bullish Signal: When the EMA is below the price and rising , indicating upward momentum.
Bearish Signal: When the EMA is above the price and falling , signaling a potential downtrend.
Reversal Zones: Monitor for trend shifts when the color of the EMA changes.
This indicator provides a clear, noise-free view of market trends , making it ideal for traders seeking improved trend identification and entry signals .
LOGICAL TRADERthis is no-1 indicator for trading,
for intraday trading
5-10-15 min time tram
stock trading - btc - nifty - banknifty working
Market Phase MAMarket Phase MA is an advanced trend-following indicator designed to provide traders with a dynamically colored moving average that adapts to market conditions. It uses a powerful combination of Average True Range (ATR) and Average Directional Index (ADX) to classify market trends in real-time. The indicator integrates a fully customizable moving average (SMA or EMA) to highlight trend phases clearly and effectively.
Key Features & Advantages:
✔ Adaptive Trend Classification: Detects uptrends, downtrends, and sideways markets using a refined mix of ATR and ADX for more precise trend identification.
✔ Color-Coded Moving Average: The moving average dynamically changes color based on trend classification, providing a clean visual representation of market sentiment.
✔ Advanced ATR & ADX Filtering:
- ATR measures market volatility and identifies ranging periods.
- ADX confirms trend strength, reducing false signals.
- A weighted approach balances ATR and ADX, ensuring reliability.
✔ Fully Customizable Moving Average: Traders can select between SMA and EMA while adjusting the moving average length directly from the settings panel.
✔ Smooth & Responsive Adjustments: The smoothing factor can be fine-tuned to control signal sensitivity and noise reduction, making it suitable for scalping, swing trading, and long-term trend monitoring.
What Makes It Unique:
- Unlike traditional trend indicators, Market Phase MA provides **direct visual feedback** on a moving average rather than using a separate oscillator.
- It **adapts dynamically** to market conditions instead of relying on fixed thresholds.
- The combination of **volatility and trend strength analysis** enhances precision in identifying valid trends.
- Users can optimize **reaction speed vs. reliability** with adjustable parameters for better decision-making.
How to Use It:
- Identify Market Phases: The moving average color shifts based on trend type—**teal** for uptrends, **red** for downtrends, and **gray** for sideways markets.
- Confirm Trend Strength: Persistent color shifts indicate strong trends, while frequent changes may suggest market indecision.
- Use as a Trade Confirmation Tool: Complement it with **support & resistance zones, price action analysis, and volume indicators** for stronger confirmation signals.
Market Phase MA is designed for traders seeking a clear, efficient, and highly adaptable moving average trend detection system. Whether you are a day trader, swing trader, or long-term investor, this indicator will help you identify and follow trends with confidence.
Son Model ICT [TradingFinder] HTF DOL H1 + Sweep M15 + FVG M1🔵 Introduction
The ICT Son Model setup is a precise trading strategy based on market structure and liquidity, implemented across multiple timeframes. This setup first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe to validate the trend. After confirmation, the price forms a new swing in the 5-minute timeframe, absorbing liquidity.
Once this level is broken, traders typically drop to the 30-second (30s) timeframe and enter trades based on a Fair Value Gap (FVG). However, since access to the 30-second timeframe is not available to most traders, we take the entry signal directly from the 5-minute timeframe, using the same liquidity zones and confirmed breakouts to execute trades. This approach simplifies execution and makes the strategy accessible to all traders.
This model operates in two setups :
Bullish ICT Son Model and Bearish ICT Son Model. In the bullish setup, liquidity is first accumulated at the lows of the 1-hour timeframe, and after confirming a market structure shift, a long position is initiated. Conversely, in the bearish setup, liquidity is first drawn from higher levels, and upon confirmation of a bearish trend, a short position is executed.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Son Model setup is designed around liquidity analysis and market structure shifts and can be applied in both bullish and bearish market conditions. The strategy first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe.
After this shift, the price forms a new swing, absorbing liquidity. When this level is broken in the 5-minute timeframe, the trader enters based on a Fair Value Gap (FVG). While the ideal entry is in the 30-second (30s) timeframe, due to accessibility constraints, we take entry signals directly from the 5-minute timeframe.
🟣 Bullish Setup
In the Bullish ICT Son Model, the 1-hour timeframe first identifies liquidity at the market lows, where price sweeps this level to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bullish shift.
After confirmation, the price forms a new swing, absorbing liquidity at a higher level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a long position, placing the stop-loss below the FVG.
🟣 Bearish Setup
In the Bearish ICT Son Model, liquidity at higher market levels is identified in the 1-hour timeframe, where price sweeps these levels to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bearish trend.
After confirmation, the price forms a new swing, absorbing liquidity at a lower level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a short position, placing the stop-loss above the FVG.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT Son Model setup is a structured and precise method for trade execution based on liquidity analysis and market structure shifts. This strategy first identifies a liquidity level in the 1-hour timeframe and then confirms a trend shift using the 5-minute timeframe.
Trade entries are executed based on Fair Value Gaps (FVGs), which highlight optimal entry points. By applying this model, traders can leverage existing market liquidity to enter high-probability trades. The bullish setup activates when liquidity is swept from market lows and a market structure shift confirms an upward trend, whereas the bearish setup is used when liquidity is drawn from market highs, confirming a downtrend.
This approach enables traders to identify high-probability trade setups with greater precision compared to many other strategies. Additionally, since access to the 30-second timeframe is limited, the strategy remains fully functional in the 5-minute timeframe, making it more practical and accessible for a wider range of traders.
Auto Diagonal Trendlines (2 Touch Points)Draws trend lines in such a way that the look back period is 30 candles for short swing trades
AKAZA INDICATORhopefully you guys can make money with this
this indicator inspire by ICT CONCEPT such a fvg,mss bsl ssl
Колебания ликвидности - Liquidity Swings [Midas]Индикатор «Колебания ликвидности - Liquidity Swings » выделяет swing-зоны, в которых наблюдается торговая активность. Количество повторных входов цены в swing-зону отображается с помощью области, определяющей границы этих зон. Кроме того, накопленный объём внутри swing-зон отмечается метками на графике. Также предусмотрена возможность фильтрации swing-зон, объём или количество которых не достигает порогового значения, установленного пользователем.
По своей природе данный индикатор не работает в режиме реального времени и предназначен для описательного анализа в сочетании с другими компонентами скрипта. Это нормальное поведение для скриптов, определяющих поворотные точки в рамках системы, и важно понимать, что метки поворотных точек не предназначены для торговли в реальном времени.
🔶 ИСПОЛЬЗОВАНИЕ
Индикатор можно использовать для выделения значимых swing-зон, которые могут представлять собой зоны накопления/распределения на более низких таймфреймах и впоследствии играть роль уровней поддержки или сопротивления.
Также выделяются уровни swing. При пробое уровня swing он отображается в виде пунктирной линии. Пробой swing-высокого уровня является бычьим сигналом, а пробой swing-низкого — медвежьим.
Фильтрация swing-зон по объёму позволяет отображать только значимые зоны с более высокой ликвидностью. Такие swing-зоны могут быть шире (что указывает на повышенную волатильность) или же могли быть посещены ценой чаще.
🔶 НАСТРОЙКИ
Период пивота: Период обратного просмотра, используемый для расчёта поворотных точек.
Область свинга: Определяет, как рассчитывается swing-зона. При выборе «Край фитиля» используется диапазон от максимальной цены до максимума из цены закрытия и открытия для swing high, и диапазон от минимальной цены до минимума из цены закрытия и открытия для swing low. При выборе «Полный диапазон» используется полный диапазон свечи как swing-зона.
Точность: Использовать внутрисвечные данные для расчёта накопленного объёма в swing-зоне, что позволяет получать более точные результаты.
Фильтрация: Определяет критерий фильтрации swing-зон, отфильтровывает swing-зоны, которые цена посетила меньше раз, чем установлено пользователем. Опция «Объем» отфильтровывает swing-зоны, в которых накопленный объём меньше порогового значения, заданного пользователем.
🔹 Стиль
Пивот верх: Отображать swing high.
Пивот низ: Отображать swing low.
Размер меток: Размер меток на графике.
Обратите внимание, что точки swing подтверждаются спустя количество баров, заданное параметром "Область свинга", поэтому все элементы отображаются с ретроспективным отступом.
BacktestingLibrary "Backtesting"
curve(disp_ind)
Call function to get a certain curve of your strategy.
Parameters:
disp_ind (string)
Returns: Returns type of curve plot.
cleaner(disp_ind, plot)
Call function to filter out your Strategy plots
Parameters:
disp_ind (string)
plot (float)
netprofit(startPrice, startDate)
Parameters:
startPrice (float)
startDate (int)
calculateEquityCurve(startPrice, startDate)
Parameters:
startPrice (float)
startDate (int)
Equity(eq, startDate)
Parameters:
eq (float)
startDate (int)
buyandhold(startPrice, startDate)
Parameters:
startPrice (float)
startDate (int)
calculateMaxDrawdown(_equityCurve, startDate)
Parameters:
_equityCurve (float)
startDate (int)
backtestTable(option, position)
Assign this function to a random variable to get the "Performance Table"
Parameters:
option (simple string)
position (simple string)
Fibonacci Cycle Finder🟩 Fibonacci Cycle Finder is an indicator designed to explore Fibonacci-based waves and cycles through visualization and experimentation, introducing a trigonometric approach to market structure analysis. Unlike traditional Fibonacci tools that rely on static horizontal levels, this indicator incorporates the dynamic nature of market cycles, using adjustable wavelength, phase, and amplitude settings to visualize the rhythm of price movements. By applying a sine function, it provides a structured way to examine Fibonacci relationships in a non-linear context.
Fibonacci Cycle Finder unifies Fibonacci principles with a wave-based method by employing adjustable parameters to align each wave with real-time price action. By default, the wave begins with minimal curvature, preserving the structural familiarity of horizontal Fibonacci retracements. By adjusting the input parameters, the wave can subtly transition from a horizontal line to a more pronounced cycle,visualizing cyclical structures within price movement. This projective structure extends potential cyclical outlines on the chart, opening deeper exploration of how Fibonacci relationships may emerge over time.
Fibonacci Cycle Finder further underscores a non-linear representation of price by illustrating how wave-based logic can uncover shifts that are missed by static retracement tools. Rather than imposing immediate oscillatory behavior, the indicator encourages a progressive approach, where the parameters may be incrementally modified to align wave structures with observed price action. This refinement process deepens the exploration of Fibonacci relationships, offering a systematic way to experiment with non-linear price dynamics. In doing so, it revisits fundamental Fibonacci concepts, demonstrating their broader adaptability beyond fixed horizontal retracements.
🌀 THEORY & CONCEPT 🌀
What if Fibonacci relationships could be visualized as dynamic waves rather than confined to fixed horizontal levels? Fibonacci Cycle Finder introduces a trigonometric approach to market structure analysis, offering a different perspective on Fibonacci-based cycles. This tool provides a way to visualize market fluctuations through cyclical wave motion, opening the door to further exploration of Fibonacci’s role in non-linear price behavior.
Traditional Fibonacci tools, such as retracements and extensions, have long been used to identify potential support and resistance levels. While valuable for analyzing price trends, these tools assume linear price movement and rely on static horizontal levels. However, market fluctuations often exhibit cyclical tendencies , where price follows natural wave-like structures rather than strictly adhering to fixed retracement points. Although Fibonacci-based tools such as arcs, fans, and time zones attempt to address these patterns, they primarily apply geometric projections. The Fibonacci Cycle Finder takes a different approach by mapping Fibonacci ratios along structured wave cycles, aligning these relationships with the natural curvature of market movement rather than forcing them onto rigid price levels.
Rather than replacing traditional Fibonacci methods, the Fibonacci Cycle Finder supplements existing Fibonacci theory by introducing an exploratory approach to price structure analysis. It encourages traders to experiment with how Fibonacci ratios interact with cyclical price structures, offering an additional layer of insight beyond static retracements and extensions. This approach allows Fibonacci levels to be examined beyond their traditional static form, providing deeper insights into market fluctuations.
📊 FIBONACCI WAVE IMPLEMENTATION 📊
The Fibonacci Cycle Finder uses two user-defined swing points, A and B, as the foundation for projecting these Fibonacci waves. It first establishes standard horizontal levels that correspond to traditional Fibonacci retracements, ensuring a baseline reference before wave adjustments are applied. By default, the wave is intentionally subtle— Wavelength is set to 1 , Amplitude is set to 1 , and Phase is set to 0 . In other words, the wave starts as “stretched out.” This allows a slow, measured start, encouraging users to refine parameters incrementally rather than producing abrupt oscillations. As these parameters are increased, the wave takes on more distinct sine and cosine characteristics, offering a flexible approach to exploring Fibonacci-based cyclicity within price action.
Three parameters control the shape of the Fibonacci wave:
1️⃣ Wavelength Controls the horizontal spacing of the wave along the time axis, determining the length of one full cycle from peak to peak (or trough to trough). In this indicator, Wavelength acts as a scaling input that adjusts how far the wave extends across time, rather than a strict mathematical “wavelength.” Lower values further stretch the wave, increasing the spacing between oscillations, while higher values compress it into a more frequent cycle. Each full cycle is divided into four quarter-cycle segments, a deliberate design choice to minimize curvature by default. This allows for subtle oscillations and smoother transitions, preventing excessive distortion while maintaining flexibility in wave projections. The wavelength is calculated relative to the A-B swing, ensuring that its scale adapts dynamically to the selected price range.
2️⃣ Amplitude Defines the vertical displacement of the wave relative to the baseline Fibonacci level. Higher values increase the height of oscillations, while lower values reduce the height, Negative values will invert the wave’s initial direction. The amplitude is dynamically applied in relation to the A-B swing direction, ensuring that an upward swing results in upward oscillations and a downward swing results in downward oscillations.
3️⃣ Phase Shifts the wave’s starting position along its cycle, adjusting alignment relative to the swing points. A phase of 0 aligns with a sine wave, where the cycle starts at zero and rises. A phase of 25 aligns with a cosine wave, starting at a peak and descending. A phase of 50 inverts the sine wave, beginning at zero but falling first, while a phase of 75 aligns with an inverted cosine , starting at a trough and rising. Intermediate values between these phases create gradual shifts in wave positioning, allowing for finer alignment with observed market structures.
By fine-tuning these parameters, users can adapt Fibonacci waves to better reflect observed market behaviors. The wave structure integrates with price movements rather than simply overlaying static levels, allowing for a more dynamic representation of cyclical price tendencies. This indicator serves as an exploratory tool for understanding potential market rhythms, encouraging traders to test and visualize how Fibonacci principles extend beyond their traditional applications.
🖼️ CHART EXAMPLES 🖼️
Following this downtrend, price interacts with curved Fibonacci levels, highlighting resistance at the 0.236 and 0.382 levels, where price stalls before pulling back. Support emerges at the 0.5, 0.618, and 0.786 levels, where price finds stability and rebounds
In this Fibonacci retracement, price initially finds support at the 1.0 level, following the natural curvature of the cycle. Resistance forms at 0.786, leading to a pullback before price breaks through and tests 0.618 as resistance. Once 0.618 is breached, price moves upward to test 0.5, illustrating how Fibonacci-based cycles may align with evolving market structure beyond static, horizontal retracements.
Following this uptrend, price retraces downward and interacts with the Fibonacci levels, demonstrating both support and resistance at key levels such as 0.236, 0.382, 0.5, and 0.618.
With only the 0.5 and 1.0 levels enabled, this chart remains uncluttered while still highlighting key price interactions. The short cycle length results in a mild curvature, aligning smoothly with market movement. Price finds resistance at the 0.5 level while showing strong support at 1.0, which follows the natural flow of the market. Keeping the focus on fewer levels helps maintain clarity while still capturing how price reacts within the cycle.
🛠️ CONFIGURATION AND SETTINGS 🛠️
Wave Parameters
Wavelength : Stretches or compresses the wave along the time axis, determining the length of one full cycle. Higher values extend the wave across more bars, while lower values compress it into a shorter time frame.
Amplitude : Expands or contracts the wave along the price axis, determining the height of oscillations relative to Fibonacci levels. Higher values increase the vertical range, while negative values invert the wave’s initial direction.
Phase : Offsets the wave along the time axis, adjusting where the cycle begins. Higher values shift the starting position forward within the wave pattern.
Fibonacci Levels
Levels : Enable or disable specific Fibonacci levels (0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0) to focus on relevant price zones.
Color : Modify level colors for enhanced visual clarity.
Visibility
Trend Line/Color : Toggle and customize the trend line connecting swing points A and B.
Setup Lines : Show or hide lines linking Fibonacci levels to projected waves.
A/B Labels Visibility : Control the visibility of swing point labels.
Left/Right Labels : Manage the display of Fibonacci level labels on both sides of the chart.
Fill % : Adjust shading intensity between Fibonacci levels (0% = no fill, 100% = maximum fill).
A and B Points (Time/Price):
These user-defined anchor points serve as the basis for Fibonacci wave calculations and can be manually set. A and B points can also be adjusted directly on the chart, with automatic synchronization to the settings panel, allowing for seamless modifications without needing to manually input values.
⚠️ DISCLAIMER ⚠️
The Fibonacci Cycle Finder is a visual analysis tool designed to illustrate Fibonacci relationships and serve as a supplement to traditional Fibonacci tools. While the indicator employs mathematical and geometric principles, no guarantee is made that its calculations will align with other Fibonacci tools or proprietary methods. Like all technical and visual indicators, the Fibonacci levels generated by this tool may appear to visually align with key price zones in hindsight. However, these levels are not intended as standalone signals for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis.
🧠 BEYOND THE CODE 🧠
Fibonacci Cycle Finder is the latest indicator in the Fibonacci Geometry Series. Building on the concepts of the Fibonacci Time-Price Zones and the Fibonacci 3-D indicators, this tool introduces a trigonometric approach to market structure analysis.
The Fibonacci Cycle Finder indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Your feedback and insights are invaluable to refining and enhancing the Fibonacci Cycle Finder indicator. We look forward to the creative applications, observations, and discussions this tool inspires within the trading community.
Tdi Killer +RSi DivergenceTDI Killer + RSI Divergence: Advanced Indicator for Trend Reversals and Continuations
Overview
The TDI Killer + RSI Divergence is an advanced RSI-based indicator designed to identify high-probability trend reversals and continuations. It integrates the Traders Dynamic Index (TDI) with RSI divergences and dynamic volatility bands to enhance accuracy. This script is closed-source to maintain the integrity of its unique calculations and optimizations.
Key Features
RSI Divergence Detection: Identifies bullish and bearish divergences for potential trend reversals.
Dynamic Volatility Bands: Adjust to market conditions for improved signal reliability.
SharkFin Alerts: Highlights potential breakout zones when RSI reaches critical thresholds.
MBL Slope Confirmation: Confirms trend direction using the Market Base Line (MBL).
Why This Script is Closed-Source
The TDI Killer + RSI Divergence incorporates advanced calculations and optimized methodologies, providing a unique edge over open-source alternatives. By keeping the script closed-source, we ensure that these proprietary techniques remain exclusive to our users.
How to Use
Buy Signals: Triggered when RSI aligns with bullish conditions and confirmed by MBL slope.
Sell Signals: Triggered when RSI aligns with bearish conditions and confirmed by MBL slope.
SharkFin Alerts: Use these alerts to anticipate potential breakouts or reversals.
Compatibility
This indicator works across all timeframes and market types, including forex, stocks, commodities, and cryptocurrencies. It is designed for traders seeking precise and reliable trading setups.
Disclaimer
While the TDI Killer + RSI Divergence is designed to enhance trading accuracy, no indicator guarantees 100% reliability. Always apply proper risk management and combine this tool with other analysis techniques for best results.
Trend Detection in one shotConfused about trends ?
Author: Anmol-max-star
Description
The HalfTrend indicator is a powerful trend-following tool that combines moving averages with ATR (Average True Range) to identify trend changes and potential reversal points. It features dynamic support/resistance levels, visual signals, and customizable parameters for different trading styles and timeframes.
Key Features
Dynamic trend identification
ATR-based volatility bands
Automatic trend reversal signals
Visual trend confirmation arrows
Customizable sensitivity settings
Indicator Components
Main Trend Line
Green: Uptrend
Red: Downtrend
ATR Bands
Upper and lower volatility channels
Based on ATR multiplier
Acts as dynamic support/resistance
Signal Arrows
Green Up Arrow: Trend change to uptrend
Red Down Arrow: Trend change to downtrend
Parameters
Amplitude (Default: 2)
Controls trend sensitivity
Lower values (1-2): More sensitive, more signals
Higher values (2-4): Less sensitive, fewer signals
Channel Deviation (Default: 2)
Controls ATR band width
Higher values: Wider bands
Lower values: Tighter bands
Show Arrows (Default: true)
Toggle arrow visibility
Useful for chart clarity
How to Use
Trading Signals
Buy Signals
Green trend line appears
Green arrow forms
Price above trend line
Sell Signals
Red trend line appears
Red arrow forms
Price below trend line
Stop Loss Placement
Long Positions: Below the trend line or lower band
Short Positions: Above the trend line or upper band
Timeframe Selection
Short-term: 5m, 15m, 1h charts
Swing trading: 4h, Daily charts
Long-term: Weekly charts
Best Practices
Entry Rules
Wait for trend line color change
Confirm with arrow signal
Check overall market direction
Consider volume confirmation
Exit Rules
Trend line break
Opposite arrow signal
ATR band penetration
Trailing stop using trend line
Risk Management
Position size based on ATR
Use ATR bands for stop placement
Trail stops with trend line
Scale in/out at band touches
Optimization Tips
For Different Markets
Trending Markets: Use default settings
Volatile Markets: Increase Channel Deviation
Ranging Markets: Decrease Amplitude
For Different Timeframes
Lower Timeframes (5m-1h):
Amplitude: 1-2
Channel Deviation: 1.5-2
Higher Timeframes (4h-1D):
Amplitude: 2-3
Channel Deviation: 2-2.5
Common Mistakes to Avoid
Don't trade against the main trend
Don't ignore overall market context
Don't chase signals after extended moves
Don't override system signals
Don't forget to use stops
Recommended Settings
Conservative Trading
Amplitude: 3
Channel Deviation: 2.5
Better for higher timeframes
Aggressive Trading
Amplitude: 1.5
Channel Deviation: 1.5
Better for lower timeframes
Swing Trading
Amplitude: 2
Channel Deviation: 2
Ideal for 4h-Daily charts
Alert Settings
Trend Changes
"Uptrend Start"
"Downtrend Start"
Price vs. Bands
Price crossing trend line
Price touching ATR bands
Additional Notes
Works best in trending markets
Combine with volume analysis
Use with support/resistance levels
Consider multiple timeframe analysis
Regular parameter optimization recommended
NK Paid RSI EMA ADX Di+ Di- 1Jan25Buy : Background should be green
SL-Low of entry candle
Target:1:2
Sell : Background should be red
SL-High of entry candle
Target:1:2
Money Moves [MDR PLAY Premium Algo V2]As my previous post of this indicator was hidden for some rules I didn`t read, I publish it once again... This indicator show you entry, point, SL, TP and cloud.Adjust it , enjoy it. Till the end of moth, this will be free .
MTF Signal XpertMTF Signal Xpert – Detailed Description
Overview:
MTF Signal Xpert is a proprietary, open‑source trading signal indicator that fuses multiple technical analysis methods into one cohesive strategy. Developed after rigorous backtesting and extensive research, this advanced tool is designed to deliver clear BUY and SELL signals by analyzing trend, momentum, and volatility across various timeframes. Its integrated approach not only enhances signal reliability but also incorporates dynamic risk management, helping traders protect their capital while navigating complex market conditions.
Detailed Explanation of How It Works:
Trend Detection via Moving Averages
Dual Moving Averages:
MTF Signal Xpert computes two moving averages—a fast MA and a slow MA—with the flexibility to choose from Simple (SMA), Exponential (EMA), or Hull (HMA) methods. This dual-MA system helps identify the prevailing market trend by contrasting short-term momentum with longer-term trends.
Crossover Logic:
A BUY signal is initiated when the fast MA crosses above the slow MA, coupled with the condition that the current price is above the lower Bollinger Band. This suggests that the market may be emerging from a lower price region. Conversely, a SELL signal is generated when the fast MA crosses below the slow MA and the price is below the upper Bollinger Band, indicating potential bearish pressure.
Recent Crossover Confirmation:
To ensure that signals reflect current market dynamics, the script tracks the number of bars since the moving average crossover event. Only crossovers that occur within a user-defined “candle confirmation” period are considered, which helps filter out outdated signals and improves overall signal accuracy.
Volatility and Price Extremes with Bollinger Bands
Calculation of Bands:
Bollinger Bands are calculated using a 20‑period simple moving average as the central basis, with the upper and lower bands derived from a standard deviation multiplier. This creates dynamic boundaries that adjust according to recent market volatility.
Signal Reinforcement:
For BUY signals, the condition that the price is above the lower Bollinger Band suggests an undervalued market condition, while for SELL signals, the price falling below the upper Bollinger Band reinforces the bearish bias. This volatility context adds depth to the moving average crossover signals.
Momentum Confirmation Using Multiple Oscillators
RSI (Relative Strength Index):
The RSI is computed over 14 periods to determine if the market is in an overbought or oversold state. Only readings within an optimal range (defined by user inputs) validate the signal, ensuring that entries are made during balanced conditions.
MACD (Moving Average Convergence Divergence):
The MACD line is compared with its signal line to assess momentum. A bullish scenario is confirmed when the MACD line is above the signal line, while a bearish scenario is indicated when it is below, thus adding another layer of confirmation.
Awesome Oscillator (AO):
The AO measures the difference between short-term and long-term simple moving averages of the median price. Positive AO values support BUY signals, while negative values back SELL signals, offering additional momentum insight.
ADX (Average Directional Index):
The ADX quantifies trend strength. MTF Signal Xpert only considers signals when the ADX value exceeds a specified threshold, ensuring that trades are taken in strongly trending markets.
Optional Stochastic Oscillator:
An optional stochastic oscillator filter can be enabled to further refine signals. It checks for overbought conditions (supporting SELL signals) or oversold conditions (supporting BUY signals), thus reducing ambiguity.
Multi-Timeframe Verification
Higher Timeframe Filter:
To align short-term signals with broader market trends, the script calculates an EMA on a higher timeframe as specified by the user. This multi-timeframe approach helps ensure that signals on the primary chart are consistent with the overall trend, thereby reducing false signals.
Dynamic Risk Management with ATR
ATR-Based Calculations:
The Average True Range (ATR) is used to measure current market volatility. This value is multiplied by a user-defined factor to dynamically determine stop loss (SL) and take profit (TP) levels, adapting to changing market conditions.
Visual SL/TP Markers:
The calculated SL and TP levels are plotted on the chart as distinct colored dots, enabling traders to quickly identify recommended exit points.
Optional Trailing Stop:
An optional trailing stop feature is available, which adjusts the stop loss as the trade moves favorably, helping to lock in profits while protecting against sudden reversals.
Risk/Reward Ratio Calculation:
MTF Signal Xpert computes a risk/reward ratio based on the dynamic SL and TP levels. This quantitative measure allows traders to assess whether the potential reward justifies the risk associated with a trade.
Condition Weighting and Signal Scoring
Binary Condition Checks:
Each technical condition—ranging from moving average crossovers, Bollinger Band positioning, and RSI range to MACD, AO, ADX, and volume filters—is assigned a binary score (1 if met, 0 if not).
Cumulative Scoring:
These individual scores are summed to generate cumulative bullish and bearish scores, quantifying the overall strength of the signal and providing traders with an objective measure of its viability.
Detailed Signal Explanation:
A comprehensive explanation string is generated, outlining which conditions contributed to the current BUY or SELL signal. This explanation is displayed on an on‑chart dashboard, offering transparency and clarity into the signal generation process.
On-Chart Visualizations and Debug Information
Chart Elements:
The indicator plots all key components—moving averages, Bollinger Bands, SL and TP markers—directly on the chart, providing a clear visual framework for understanding market conditions.
Combined Dashboard:
A dedicated dashboard displays key metrics such as RSI, ADX, and the bullish/bearish scores, alongside a detailed explanation of the current signal. This consolidated view allows traders to quickly grasp the underlying logic.
Debug Table (Optional):
For advanced users, an optional debug table is available. This table breaks down each individual condition, indicating which criteria were met or not met, thus aiding in further analysis and strategy refinement.
Mashup Justification and Originality
MTF Signal Xpert is more than just an aggregation of existing indicators—it is an original synthesis designed to address real-world trading complexities. Here’s how its components work together:
Integrated Trend, Volatility, and Momentum Analysis:
By combining moving averages, Bollinger Bands, and multiple oscillators (RSI, MACD, AO, ADX, and an optional stochastic), the indicator captures diverse market dynamics. Each component reinforces the others, reducing noise and filtering out false signals.
Multi-Timeframe Analysis:
The inclusion of a higher timeframe filter aligns short-term signals with longer-term trends, enhancing overall reliability and reducing the potential for contradictory signals.
Adaptive Risk Management:
Dynamic stop loss and take profit levels, determined using ATR, ensure that the risk management strategy adapts to current market conditions. The optional trailing stop further refines this approach, protecting profits as the market evolves.
Quantitative Signal Scoring:
The condition weighting system provides an objective measure of signal strength, giving traders clear insight into how each technical component contributes to the final decision.
How to Use MTF Signal Xpert:
Input Customization:
Adjust the moving average type and period settings, ATR multipliers, and oscillator thresholds to align with your trading style and the specific market conditions.
Enable or disable the optional stochastic oscillator and trailing stop based on your preference.
Interpreting the Signals:
When a BUY or SELL signal appears, refer to the on‑chart dashboard, which displays key metrics (e.g., RSI, ADX, bullish/bearish scores) along with a detailed breakdown of the conditions that triggered the signal.
Review the SL and TP markers on the chart to understand the associated risk/reward setup.
Risk Management:
Use the dynamically calculated stop loss and take profit levels as guidelines for setting your exit points.
Evaluate the provided risk/reward ratio to ensure that the potential reward justifies the risk before entering a trade.
Debugging and Verification:
Advanced users can enable the debug table to see a condition-by-condition breakdown of the signal generation process, helping refine the strategy and deepen understanding of market dynamics.
Disclaimer:
MTF Signal Xpert is intended for educational and analytical purposes only. Although it is based on robust technical analysis methods and has undergone extensive backtesting, past performance is not indicative of future results. Traders should employ proper risk management and adjust the settings to suit their financial circumstances and risk tolerance.
MTF Signal Xpert represents a comprehensive, original approach to trading signal generation. By blending trend detection, volatility assessment, momentum analysis, multi-timeframe alignment, and adaptive risk management into one integrated system, it provides traders with actionable signals and the transparency needed to understand the logic behind them.
Moneyball EMA-MACD indicator [VinnieTheFish]Summary of the Moneyball EMA-MACD Indicator Script
Author: VinnieTheFish
Purpose:
This indicator helps traders identify trend direction, momentum shifts, and potential trade signals based on EMA and MACD crossovers.
This Pine Script is a custom indicator that combines Exponential Moving Averages (EMAs) and MACD (Moving Average Convergence Divergence) to analyze price trends and momentum. The script uses a custom 9/50 MACD with a 16 smoothing period. The script is written in a way that you can create your own custom MACD settings and create alerts based on those parameters. The chart bars are color coded based on the relative position of the MACD and Signal line primarily for bullish long trade setups.
Bar color coding helps the trader spot potential reversals based on where the price currently resides in relation to the custom 9/50 EMA based MACD and the 16 period smoothing period for the signal line. Indicator also has custom alerts to notify the trader when a potential trade setup exists that correspond with the bar color change.
Question: So why is this called the Moneywell EMA-MACD Indicator?
Answer: In the movie Moneyball the Oakland A's broke down how to win a championship based on data. To make the playoffs you needed so many wins, then broken down by runs and then broken down to base hits. A base hit was good as a walk. With trading often times we look too often for home runs and ignore the importance of getting on base with small wins. This indicator was designed on shorter timeframes to identify those base hits, but can also be adapted to higher timeframes for swing trading.
Key Features:
User Inputs:
Configurable fast and slow lengths for MACD calculation.
Choice between SMA and EMA for oscillator and signal line smoothing.
Customizable signal smoothing length.
EMA Calculation:
Computes 3 EMA, 9 EMA, 20 EMA, and 50 EMA to track short-term and long-term trends.
MACD Calculation:
Computes MACD using either SMA or EMA based on user selection.
Generates the MACD signal line for comparison.
Crossover Conditions:
Detects MACD and Signal line crossovers above and below the zero line.
Identifies price momentum shifts.
Bar Coloring Logic:
Green: MACD is above 0 and above the signal line.
White: MACD is below the signal line.
Orange: MACD is below 0 but above the signal line.
Fuchsia: Bullish EMA 3/9 cross but price is still below the 20/50 EMA.
Alerts for Key Trading Signals:
MACD crossing above/below the zero line.
Signal line crossing above/below the zero line.
MACD reaching new highs/lows.
Alerts for colored bar conditions.
Price Action Trend and Margin EquityThe Price Action Trend and Margin Equity indicator is a multifunctional market analysis tool that combines elements of money management and price pattern analysis. The indicator helps traders identify key price action patterns and determine optimal entry, exit and stop loss levels based on the current trend.
The main components of the indicator:
Money Management:
Allows the trader to set risk management parameters such as the percentage of possible loss on the position, the use of fixed leverage and the total capital.
Calculates the required leverage level to achieve a specified percentage of loss.
Price Action:
Correctly identifies various price patterns such as Pin Bar, Engulfing Bar, PPR Bar and Inside Bar.
Displays these patterns on the chart with the ability to customize candle colors and display styles.
Allows the trader to customize take profit and stop loss points to display them on the chart.
The ability to display patterns only in the direction of the trend.
Trend: (some code taken from ChartPrime)
Uses a trend cloud to visualize the current market direction.
The trend cloud is displayed on the chart and helps traders determine whether the market is in an uptrend or a downtrend.
Alert:
Allows you to set an alert that will be triggered when the pattern is formed.
Example of use:
Let's say a trader uses the indicator to trade the crypto market. He sets the money management parameters, setting the maximum loss per position to 5% and using a fixed leverage of 1:100. The indicator automatically calculates the required position size to meet these parameters ($: on the label). Or displays the leverage (X: on the label) to achieve the required risk.
The trader receives an alert when a Pin Bar is formed. The indicator displays the entry, exit, and stop loss levels based on this pattern. The trader opens a position for the recommended amount in the direction indicated by the indicator and sets the stop loss and take profit at the recommended levels.
General Settings:
Position Loss Percentage: Sets the maximum loss percentage you are willing to take on a single position.
Use Fixed Leverage: Enables or disables the use of fixed leverage.
Fixed Leverage: Sets the fixed leverage level.
Total Equity: Specifies the total equity you are using for trading. (Required for calculation when using fixed leverage)
Turn Patterns On/Off: You can turn on or off the display of various price patterns such as Pin Bar, Outside Bar (Engulfing), Inside Bar, and PPR Bar.
Pattern Colors: Sets the colors for displaying each pattern on the chart.
Candle Color: Allows you to set a neutral color for candles that do not match the price action.
Show Lines: Allows you to turn on or off the display of labels and lines.
Line Length: Sets the length of the stop, entry, and take profit lines.
Label color: One color for all labels (configured below) or the color of the labels in the color of the candle pattern.
Pin entry: Select the entry point for the pin bar: candle head, bar close, or 50% of the candle.
Coefficients for stop and take lines.
Use trend for price action: When enabled, will show price action signals only in the direction of the trend.
Display trend cloud: Enables or disables the display of the trend cloud.
Cloud calculation period: Sets the period for which the maximum and minimum values for the cloud are calculated. The longer the period, the smoother the cloud will be.
Cloud colors: Sets the colors for uptrends and downtrends, as well as the transparency of the cloud.
The logic of the indicator:
Pin Bar is a candle with a long upper or lower shadow and a short body.
Logic: If the length of one shadow is twice the body and the opposite shadow of the candle, it is considered a Pin Bar.
An Inside Bar is a candle that is completely engulfed by the previous candle.
Logic: If the high and low of the current candle are inside the previous candle, it is an Inside Bar.
An Outside Bar or Engulfing is a candle that completely engulfs the previous candle.
Logic: If the high and low of the current candle are outside the previous candle and close outside the previous candle, it is an Outside Bar.
A PPR Bar is a candle that closes above or below the previous candle.
Logic: If the current candle closes above the high of the previous candle or below its low, it is a PPR Bar.
Stop Loss Levels: Calculated based on the specified ratios. If set to 1.0, it shows the correct stop for the pattern by pushing away from the entry point.
Take Profit Levels: Calculated based on the specified ratios.
Create a Label: The label is created at the stop loss level and contains information about the potential leverage and loss.
The formula for calculating the $ value is:
=(Total Capital x (Maximum Loss Percentage on Position/100)) / (Difference between Entry Level and Stop Loss Level × Ratio that sets the stop loss level relative to the length of the candlestick shadow × Fixed Leverage Value) .
Labels contain the following information:
The percentage of price change from the recommended entry point to the stop loss level.
Required Leverage (X: ): The amount of leverage required to achieve the specified loss percentage. (Or a fixed value if selected).
Required Capital ($: ): The amount of capital required to open a position with the specified leverage and loss percentage (only displayed when using fixed leverage).
The trend cloud identifies the maximum and minimum price values for the specified period.
The cloud value is set depending on whether the current price is equal to the high or low values.
If the current closing price is equal to the high value, the cloud is set at the low value, and vice versa.
RU
Индикатор "Price Action Trend and Margin Equity" представляет собой многофункциональный инструмент для анализа рынка, объединяющий в себе элементы управления капиталом и анализа ценовых паттернов. Индикатор помогает трейдерам идентифицировать ключевые прайс экшн паттерны и определять оптимальные уровни входа, выхода и стоп-лосс на основе текущего тренда.
Основные компоненты индикатора:
Управление капиталом:
Позволяет трейдеру задавать параметры управления рисками, такие как процент возможного убытка по позиции, использование фиксированного плеча и общий капитал.
Рассчитывает необходимый уровень плеча для достижения заданного процента убытка.
Price Action:
Правильно идентифицирует различные ценовые паттерны, такие как Pin Bar, Поглащение Бар, PPR Bar и Внутренний Бар.
Отображает эти паттерны на графике с возможностью настройки цветов свечей и стилей отображения.
Позволяет трейдеру настраивать точки тейк профита и стоп лосса для отображения их на графике.
Возможность отображения паттернов только в натправлении тренда.
Trend: (часть кода взята у ChartPrime)
Использует облако тренда для визуализации текущего направления рынка.
Облако тренда отображается на графике и помогает трейдерам определить, находится ли рынок в восходящем или нисходящем тренде.
Оповещение:
Дает возможность установить оповещение которое будет срабатывать при формировании паттерна.
Пример применения:
Предположим, трейдер использует индикатор для торговли на крипто рынке. Он настраивает параметры управления капиталом, устанавливая максимальный убыток по позиции в 5% и используя фиксированное плечо 1:100. Индикатор автоматически рассчитывает необходимый объем позиции для соблюдения этих параметров ($: на лейбле). Или отображает плечо (Х: на лейбле) для достижения необходимого риска.
Трейдер получает оповещение о формировании Pin Bar. Индикатор отображает уровни входа, выхода и стоп-лосс, основанные на этом паттерне. Трейдер открывает позицию на рекомендуемую сумму в направлении, указанном индикатором, и устанавливает стоп-лосс и тейк-профит на рекомендованных уровнях.
Общие настройки:
Процент убытка по позиции: Устанавливает максимальный процент убытка, который вы готовы понести по одной позиции.
Использовать фиксированное плечо: Включает или отключает использование фиксированного плеча.
Уровень фиксированного плеча: Задает уровень фиксированного плеча.
Общий капитал: Указывает общий капитал, который вы используете для торговли. (Необходим для расчета при использовании фиксированного плеча)
Включение/отключение паттернов: Вы можете включить или отключить отображение различных ценовых паттернов, таких как Pin Bar, Outside Bar (Поглощение), Inside Bar и PPR Bar.
Цвета паттернов: Задает цвета для отображения каждого паттерна на графике.
Цвет свечей: Позволяет задать нейтральный цвет для свечей неподходящих под прйс экшн.
Показывать линии: Позволяет включить или отключить отображение лейблов и линий.
Длинна линий: Настройка длинны линий стопа, линии входа и тейк профита.
Цвет лейбла: Один цвет для всех лейблов (настраивается ниже) или цвет лейблов в цвет паттерна свечи.
Вход в пин: Выбор точки входа для пин бара: голова свечи, точка закрытия бара или 50% свечи.
Коэффиценты для стоп и тейк линий.
Использовать тренд для прайс экшна: При включении будет показывать прайс экшн сигналы только в направлении тренда.
Отображение облака тренда: Включает или отключает отображение облака тренда.
Период расчета облака: Устанавливает период, за который рассчитываются максимальные и минимальные значения для облака. Чем больше период, тем более сглаженным будет облако.
Цвета облака: Задает цвета для восходящего и нисходящего трендов, а также прозрачность облака.
Логика работы индикатора:
Pin Bar — это свеча с длинной верхней или нижней тенью и коротким телом.
Логика: Если длина одной тени вдвое больше тела и противоположной тени свечи, считается, что это Pin Bar.
Inside Bar — это свеча, полностью поглощенная предыдущей свечой.
Логика: Если максимум и минимум текущей свечи находятся внутри предыдущей свечи, это Inside Bar.
Outside Bar или Поглощение — это свеча, которая полностью поглощает предыдущую свечу.
Логика: Если максимум и минимум текущей свечи выходят за пределы предыдущей свечи и закрывается за пределами предыдущей свечи, это Outside Bar.
PPR Bar — это свеча, которая закрывается выше или ниже предыдущей свечи.
Логика: Если текущая свеча закрывается выше максимума предыдущей свечи или ниже ее минимума, это PPR Bar.
Уровни стоп-лосс: Рассчитываются на основе заданных коэффициентов. При значении 1.0 показывает правильный стоп для паттерна отталкиваясь от точки входа.
Уровки тейк-профита: Рассчитываются на основе заданных коэффициентов.
Создание метки: Метка создается на уровне стоп-лосс и содержит информацию о потенциальном плече и убытке.
Формула для вычисления значения $:
=(Общий капитал x (Максимальный процент убытка по позиции/100)) / (Разница между уровнем входа и уровнем стоп-лосс × Коэффициент, задающий уровень стоп-лосс относительно длины тени свечи × Значение фиксированного плеча).
Метки содержат следующую информацию:
Процент изменения цены от рекомендованной точки входа до уровня стоп-лосс.
Необходимое плечо (Х: ): Уровень плеча, необходимый для достижения заданного процента убытка. (Или фиксированное значение если оно выбрано).
Необходимый капитал ($: ): Сумма капитала, необходимая для открытия позиции с заданным плечом и процентом убытка (отображается только при использовании фиксированного плеча).
Облако тренда определяет максимальные и минимальные значения цены за указанный период.
Значение облака устанавливается в зависимости от того, совпадает ли текущая цена с максимальными или минимальными значениями.
Если текущая цена закрытия равна максимальному значению, облако устанавливается на уровне минимального значения, и наоборот.
"Talha's Pro Signal v2"📌 Talha's Pro Signal - Description
Talha's Pro Signal is a trend-following indicator that combines Exponential Moving Averages (EMA), Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD) to provide precise Buy and Sell signals.
🔍 How it Works?
1️⃣ Trend Detection:
The script uses EMA 9 & EMA 21 crossover to detect trend direction.
When EMA 9 crosses above EMA 21, it indicates a bullish trend (Buy Signal).
When EMA 9 crosses below EMA 21, it indicates a bearish trend (Sell Signal).
2️⃣ Momentum Confirmation (RSI & MACD):
RSI (14) > 50 confirms bullish momentum.
MACD Line > Signal Line confirms buying strength.
Opposite conditions confirm selling strength.
3️⃣ Stop-Loss & Take-Profit Calculation:
Uses ATR (14) for dynamic SL & TP calculation.
Stop-loss = 1.5 × ATR.
Take-profit = 2 × ATR.
🎯 Best Used For:
✅ Suitable for Forex, Crypto, and Stocks.
✅ Works best on higher timeframes (15m, 1H, 4H, Daily).
✅ Helps traders avoid false signals by combining trend + momentum confirmation.
RickEA HIGHLOWIndicador Baseado em suporte e resistencia com preço medio e sinais de entradas. Percentual de acertos plotado na tela, alterados por simbolos e tempos graficos.
trend -coll-and-Puut// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// Created & Developed by : Kıvanç Özbilgiç (@KivancOzbilgic)
// Screener Panel & Adjustments: @dg_factor
//@version=5
indicator('AlphaTrend - Screener', overlay=true, format=format.price, precision=2)
src = input.source(title='Source', defval=close, group='ALPHATREND')
AP = input.int(title='Length', defval=14, group='ALPHATREND')
coeff = input.float(title='Multiplier', defval=1.0, step=0.1, group='ALPHATREND')
novolumedata = input.bool(title='Change Calculation (No Volume Data)', defval=false, group='ALPHATREND')
showsignalsk = input(title='Show Signals ', defval=true, group='ALPHATREND')
ATR = ta.sma(ta.tr, AP)
upT = low - ATR * coeff
downT = high + ATR * coeff
AlphaTrend = 0.0
AlphaTrend := (novolumedata ? ta.rsi(src, AP) >= 50 : ta.mfi(hlc3, AP) >= 50) ? upT < nz(AlphaTrend ) ? nz(AlphaTrend ) : upT : downT > nz(AlphaTrend ) ? nz(AlphaTrend ) : downT
color1 = AlphaTrend > AlphaTrend ? #00E60F : AlphaTrend < AlphaTrend ? #80000B : AlphaTrend > AlphaTrend ? #00E60F : #80000B
buySignalk = ta.crossover(AlphaTrend, AlphaTrend )
sellSignalk = ta.crossunder(AlphaTrend, AlphaTrend )
K1 = ta.barssince(buySignalk)
K2 = ta.barssince(sellSignalk)
O1 = ta.barssince(buySignalk )
O2 = ta.barssince(sellSignalk )
direction = 0
direction := buySignalk and O1 > K2 ? 1 : sellSignalk and O2 > K1 ? -1 : direction
k1 = plot(AlphaTrend, title='AlphaTrend', color=#0022fc, linewidth=3)
k2 = plot(AlphaTrend , title='Trigger', color=#fc0400, linewidth=3)
fill(k1, k2, title='Fill Color', color=color1)
plotshape(showsignalsk and buySignalk and O1 > K2 ? AlphaTrend * 0.9999 : na, title='BUY', text='BUY', location=location.absolute, style=shape.labelup, size=size.tiny, color=#0022FC, textcolor=color.white)
plotshape(showsignalsk and sellSignalk and O2 > K1 ? AlphaTrend * 1.0001 : na, title='SELL', text='SELL', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.maroon, textcolor=color.white)
string gr_sc = 'SCREENER'
string gr_sy = 'SYMBOL'
string t00 = 'Alpha Trend Screener'
color c00 = #686868
lb_sh = input.bool(title='Show Label', defval=true, group=gr_sc)
lb_xa = input.int(title='Horizontal Axis', defval=20, group=gr_sc, tooltip='Label Position x Axis')
lb_ya = input.int(title='Vertical Axis', defval=1, group=gr_sc, tooltip='Label Position y Axis')
lb_sz = input.string(title='Label Size', options= , defval='Normal', group=gr_sc)
lb_cl = input.color(title='Colours', defval=#00bb00, group=gr_sc, inline='0')
lb_cs = input.color(title='', defval=#ff0000, group=gr_sc, inline='0')
sh01 = input.bool(title='01', defval=true, group=gr_sy, inline="01")
sh02 = input.bool(title='02', defval=true, group=gr_sy, inline="02")
sh03 = input.bool(title='03', defval=true, group=gr_sy, inline="03")
sh04 = input.bool(title='04', defval=true, group=gr_sy, inline="04")
sh05 = input.bool(title='05', defval=true, group=gr_sy, inline="05")
sh06 = input.bool(title='06', defval=true, group=gr_sy, inline="06")
sh07 = input.bool(title='07', defval=true, group=gr_sy, inline="07")
sh08 = input.bool(title='08', defval=true, group=gr_sy, inline="08")
sh09 = input.bool(title='09', defval=true, group=gr_sy, inline="09")
sh10 = input.bool(title='10', defval=true, group=gr_sy, inline="10")
sh11 = input.bool(title='11', defval=false, group=gr_sy, inline="11")
sh12 = input.bool(title='12', defval=false, group=gr_sy, inline="12")
sh13 = input.bool(title='13', defval=false, group=gr_sy, inline="13")
sh14 = input.bool(title='14', defval=false, group=gr_sy, inline="14")
sh15 = input.bool(title='15', defval=false, group=gr_sy, inline="15")
sh16 = input.bool(title='16', defval=false, group=gr_sy, inline="16")
sh17 = input.bool(title='17', defval=false, group=gr_sy, inline="17")
sh18 = input.bool(title='18', defval=false, group=gr_sy, inline="18")
sh19 = input.bool(title='19', defval=false, group=gr_sy, inline="19")
sh20 = input.bool(title='20', defval=false, group=gr_sy, inline="20")
tf01 = input.timeframe(title='', defval='', group=gr_sy, inline="01")
tf02 = input.timeframe(title='', defval='', group=gr_sy, inline="02")
tf03 = input.timeframe(title='', defval='', group=gr_sy, inline="03")
tf04 = input.timeframe(title='', defval='', group=gr_sy, inline="04")
tf05 = input.timeframe(title='', defval='', group=gr_sy, inline="05")
tf06 = input.timeframe(title='', defval='', group=gr_sy, inline="06")
tf07 = input.timeframe(title='', defval='', group=gr_sy, inline="07")
tf08 = input.timeframe(title='', defval='', group=gr_sy, inline="08")
tf09 = input.timeframe(title='', defval='', group=gr_sy, inline="09")
tf10 = input.timeframe(title='', defval='', group=gr_sy, inline="10")
tf11 = input.timeframe(title='', defval='', group=gr_sy, inline="11")
tf12 = input.timeframe(title='', defval='', group=gr_sy, inline="12")
tf13 = input.timeframe(title='', defval='', group=gr_sy, inline="13")
tf14 = input.timeframe(title='', defval='', group=gr_sy, inline="14")
tf15 = input.timeframe(title='', defval='', group=gr_sy, inline="15")
tf16 = input.timeframe(title='', defval='', group=gr_sy, inline="16")
tf17 = input.timeframe(title='', defval='', group=gr_sy, inline="17")
tf18 = input.timeframe(title='', defval='', group=gr_sy, inline="18")
tf19 = input.timeframe(title='', defval='', group=gr_sy, inline="19")
tf20 = input.timeframe(title='', defval='', group=gr_sy, inline="20")
s01 = input.symbol(title='', group=gr_sy, inline='01', defval='BINANCE:BTCUSDT')
s02 = input.symbol(title='', group=gr_sy, inline='02', defval='BINANCE:ETHUSDT')
s03 = input.symbol(title='', group=gr_sy, inline='03', defval='BINANCE:BNBUSDT')
s04 = input.symbol(title='', group=gr_sy, inline='04', defval='BINANCE:ADAUSDT')
s05 = input.symbol(title='', group=gr_sy, inline='05', defval='BINANCE:AVAXUSDT')
s06 = input.symbol(title='', group=gr_sy, inline='06', defval='BINANCE:CHZUSDT')
s07 = input.symbol(title='', group=gr_sy, inline='07', defval='BINANCE:DOGEUSDT')
s08 = input.symbol(title='', group=gr_sy, inline='08', defval='BINANCE:SOLUSDT')
s09 = input.symbol(title='', group=gr_sy, inline='09', defval='BINANCE:TRXUSDT')
s10 = input.symbol(title='', group=gr_sy, inline='10', defval='BINANCE:XRPUSDT')
s11 = input.symbol(title='', group=gr_sy, inline='11', defval='NASDAQ:AAPL')
s12 = input.symbol(title='', group=gr_sy, inline='12', defval='NASDAQ:TSLA')
s13 = input.symbol(title='', group=gr_sy, inline='13', defval='NASDAQ:AMZN')
s14 = input.symbol(title='', group=gr_sy, inline='14', defval='NASDAQ:GOOGL')
s15 = input.symbol(title='', group=gr_sy, inline='15', defval='NASDAQ:NVDA')
s16 = input.symbol(title='', group=gr_sy, inline='16', defval='NASDAQ:META')
s17 = input.symbol(title='', group=gr_sy, inline='17', defval='NYSE:C')
s18 = input.symbol(title='', group=gr_sy, inline='18', defval='NASDAQ:NFLX')
s19 = input.symbol(title='', group=gr_sy, inline='19', defval='NYSE:BABA')
s20 = input.symbol(title='', group=gr_sy, inline='20', defval='NASDAQ:ABNB')
f_screener(s) =>
int x = na
int y = na
z = color(na)
if s
x := direction
y := ta.barssince(x != x )
z := x == 1 ? lb_cl : x == -1 ? lb_cs : c00
//
f_bars(x) =>
r = ' '
//
f_size(x) =>
x == 'Tiny' ? size.tiny :
x == 'Small' ? size.small :
x == 'Normal' ? size.normal :
x == 'Large' ? size.large :
x == 'Huge' ? size.huge : size.auto
//
f_label(l, t, c) =>
r = string(na)
for i = l*2 to 0
r += ' '
r += t
var label lb = na
label.delete(lb)
fix_allign = ta.highest(200)
lb := lb_sh ? label.new(
x=bar_index + lb_xa,
y=bar_index > 200 ? fix_allign * (1 + lb_ya / 1000) : hl2 * (1 + lb_ya / 1000),
text=r, textcolor=c, textalign=text.align_right,
style=label.style_label_left, size=f_size(lb_sz), color=#00000000) : na
= request.security(s01, tf01, f_screener(sh01))
= request.security(s02, tf02, f_screener(sh02))
= request.security(s03, tf03, f_screener(sh03))
= request.security(s04, tf04, f_screener(sh04))
= request.security(s05, tf05, f_screener(sh05))
= request.security(s06, tf06, f_screener(sh06))
= request.security(s07, tf07, f_screener(sh07))
= request.security(s08, tf08, f_screener(sh08))
= request.security(s09, tf09, f_screener(sh09))
= request.security(s10, tf10, f_screener(sh10))
= request.security(s11, tf11, f_screener(sh11))
= request.security(s12, tf12, f_screener(sh12))
= request.security(s13, tf13, f_screener(sh13))
= request.security(s14, tf14, f_screener(sh14))
= request.security(s15, tf15, f_screener(sh15))
= request.security(s16, tf16, f_screener(sh16))
= request.security(s17, tf17, f_screener(sh17))
= request.security(s18, tf18, f_screener(sh18))
= request.security(s19, tf19, f_screener(sh19))
= request.security(s20, tf20, f_screener(sh20))
t01 = a01 == 1 ? '▲' + f_bars(b01) + s01 : a01 == -1 ? '▼' + f_bars(b01) + s01 : '■' + f_bars(b01) + s01
t02 = a02 == 1 ? '▲' + f_bars(b02) + s02 : a02 == -1 ? '▼' + f_bars(b02) + s02 : '■' + f_bars(b02) + s02
t03 = a03 == 1 ? '▲' + f_bars(b03) + s03 : a03 == -1 ? '▼' + f_bars(b03) + s03 : '■' + f_bars(b03) + s03
t04 = a04 == 1 ? '▲' + f_bars(b04) + s04 : a04 == -1 ? '▼' + f_bars(b04) + s04 : '■' + f_bars(b04) + s04
t05 = a05 == 1 ? '▲' + f_bars(b05) + s05 : a05 == -1 ? '▼' + f_bars(b05) + s05 : '■' + f_bars(b05) + s05
t06 = a06 == 1 ? '▲' + f_bars(b06) + s06 : a06 == -1 ? '▼' + f_bars(b06) + s06 : '■' + f_bars(b06) + s06
t07 = a07 == 1 ? '▲' + f_bars(b07) + s07 : a07 == -1 ? '▼' + f_bars(b07) + s07 : '■' + f_bars(b07) + s07
t08 = a08 == 1 ? '▲' + f_bars(b08) + s08 : a08 == -1 ? '▼' + f_bars(b08) + s08 : '■' + f_bars(b08) + s08
t09 = a09 == 1 ? '▲' + f_bars(b09) + s09 : a09 == -1 ? '▼' + f_bars(b09) + s09 : '■' + f_bars(b09) + s09
t10 = a10 == 1 ? '▲' + f_bars(b10) + s10 : a10 == -1 ? '▼' + f_bars(b10) + s10 : '■' + f_bars(b10) + s10
t11 = a11 == 1 ? '▲' + f_bars(b11) + s11 : a11 == -1 ? '▼' + f_bars(b11) + s11 : '■' + f_bars(b11) + s11
t12 = a12 == 1 ? '▲' + f_bars(b12) + s12 : a12 == -1 ? '▼' + f_bars(b12) + s12 : '■' + f_bars(b12) + s12
t13 = a13 == 1 ? '▲' + f_bars(b13) + s13 : a13 == -1 ? '▼' + f_bars(b13) + s13 : '■' + f_bars(b13) + s13
t14 = a14 == 1 ? '▲' + f_bars(b14) + s14 : a14 == -1 ? '▼' + f_bars(b14) + s14 : '■' + f_bars(b14) + s14
t15 = a15 == 1 ? '▲' + f_bars(b15) + s15 : a15 == -1 ? '▼' + f_bars(b15) + s15 : '■' + f_bars(b15) + s15
t16 = a16 == 1 ? '▲' + f_bars(b16) + s16 : a16 == -1 ? '▼' + f_bars(b16) + s16 : '■' + f_bars(b16) + s16
t17 = a17 == 1 ? '▲' + f_bars(b17) + s17 : a17 == -1 ? '▼' + f_bars(b17) + s17 : '■' + f_bars(b17) + s17
t18 = a18 == 1 ? '▲' + f_bars(b18) + s18 : a18 == -1 ? '▼' + f_bars(b18) + s18 : '■' + f_bars(b18) + s18
t19 = a19 == 1 ? '▲' + f_bars(b19) + s19 : a19 == -1 ? '▼' + f_bars(b19) + s19 : '■' + f_bars(b19) + s19
t20 = a20 == 1 ? '▲' + f_bars(b20) + s20 : a20 == -1 ? '▼' + f_bars(b20) + s20 : '■' + f_bars(b20) + s20
f_label(0, t00, c00)
f_label(1, t01, c01)
f_label(2, t02, c02)
f_label(3, t03, c03)
f_label(4, t04, c04)
f_label(5, t05, c05)
f_label(6, t06, c06)
f_label(7, t07, c07)
f_label(8, t08, c08)
f_label(9, t09, c09)
f_label(10, t10, c10)
f_label(11, t11, c11)
f_label(12, t12, c12)
f_label(13, t13, c13)
f_label(14, t14, c14)
f_label(15, t15, c15)
f_label(16, t16, c16)
f_label(17, t17, c17)
f_label(18, t18, c18)
f_label(19, t19, c19)
f_label(20, t20, c20)
