Power Root SuperTrend [AlgoAlpha]📈🚀 Power Root SuperTrend by AlgoAlpha - Elevate Your Trading Strategy! 🌟
Introducing the Power Root SuperTrend by AlgoAlpha, an advanced trading indicator that enhances the traditional SuperTrend by incorporating Root-Mean-Square (RMS) calculations for a more responsive and adaptive trend detection. This innovative tool is designed to help traders identify trend directions, potential take-profit levels, and optimize entry and exit points with greater accuracy, making it an excellent addition to your trading arsenal.
Key Features:
🔹 Root-Mean-Square SuperTrend Calculation : Utilizes the RMS of closing prices to create a smoother and more sensitive SuperTrend line that adapts quickly to market changes.
🔸 Multiple Take-Profit Levels : Automatically calculates and plots up to seven take-profit levels (TP1 to TP7) based on market volatility and the change in SuperTrend values.
🟢 Dynamic Trend Coloring : Visually distinguish between bullish and bearish trends with customizable colors for clearer market visualization.
📊 RSI-Based Take-Profit Signals : Incorporates the Relative Strength Index (RSI) of the distance between the price and the SuperTrend line to generate additional take-profit signals.
🔔 Customizable Alerts : Set alerts for trend direction changes, achievement of take-profit levels, and RSI-based take-profit conditions to stay informed without constant chart monitoring.
How to Use:
Add the Indicator : Add the indicator to favorites by pressing the ⭐ icon or search for "Power Root SuperTrend " in the TradingView indicators library and add it to your chart. Adjust parameters such as the ATR multiplier, ATR length, RMS length, and RSI take-profit length to suit your trading style and the specific asset you are analyzing.
Analyze the Chart : Observe the SuperTrend line and the plotted take-profit levels. The color changes indicate trend directions—green for bullish and red for bearish trends.
Set Alerts : Utilize the built-in alert conditions to receive notifications when the trend direction changes, when each TP level is drawn, or when RSI-based take-profit conditions are met.
How It Works:
The Power Root SuperTrend indicator enhances traditional SuperTrend calculations by applying a Root-Mean-Square (RMS) function to the closing prices, resulting in a more responsive trend line that better reflects recent price movements. It calculates the Average True Range (ATR) to determine the volatility and sets the upper and lower SuperTrend bands accordingly. When a trend direction change is detected—signified by the SuperTrend line switching from above to below the price or vice versa—the indicator calculates the change in the SuperTrend value. This change is then used to establish multiple take-profit levels (TP1 to TP7), each representing incremental targets based on market volatility. Additionally, the indicator computes the RSI of the distance between the current price and the SuperTrend line to generate extra take-profit signals when the RSI crosses under a specific threshold. The combination of RMS calculations, multiple TP levels, dynamic coloring, and RSI signals provides traders with a comprehensive tool for identifying trends and optimizing trade exits. Customizable alerts ensure that traders can stay updated on important market developments without needing to constantly watch the charts.
Elevate your trading strategy with the Power Root SuperTrend indicator and gain a smarter edge in the markets! 🚀✨
المؤشرات والاستراتيجيات
Stoch RSI & RSI Buy/Sell Signals with MACD Trend FilterThis indicator combines multiple technical analysis tools and conditions to generate precise buy and sell signals. It utilizes the Stochastic RSI and RSI for overbought/oversold signals, a MACD trend filter, and candle color confirmation to avoid false signals. Key conditions include:
Buy Signal:
Conditions Met on Previous Candle:
Stochastic RSI (%K) is below the user-defined oversold level.
RSI is either below the neutral level or within the oversold range.
MACD line is in a bearish trend, confirmed by three consecutive downward bars.
Current Candle Requirement: Closes in green to confirm a buy.
Sell Signal:
Conditions Met on Previous Candle:
Stochastic RSI (%K) is above the user-defined overbought level.
RSI is either above the neutral level or within the overbought range.
MACD line is in a bullish trend, confirmed by three consecutive upward bars.
Current Candle Requirement: Closes in red to confirm a sell.
This indicator also includes custom color settings based on RSI levels and can be toggled to display buy/sell signals visually on the chart.
-------
DONATIONS:
USDT: 0x678d7ca85574f35c4ad7c673c92cd3f4795f98d9 (ERC20)
IQ Zones [TradingIQ]Hey Traders!
Introducing "IQ Zones".
"IQ Zones" is an indicator that combines support and resistance identification with volume, the "value area" of a candlestick to be exact. IQ Zones identifies turning points in the market; however, the candlestick high or low that formed the key turning point is not necessarily distinguished as the support/resistance area. Instead, the script looks into the bar at lower timeframes and calculates the value area of the candlestick that formed the support or resistance level. Therefore, any lines protruding from a candlestick reflect the value area of that candlestick. These levels (value area high and value area low) are marked on the candlestick as a support/resistance level. If the level formed on high volume it's marked as an "IQ Zone".
Additionally, IQ Zones presents a heat map to show volume intensity at nearby price areas. The heatmap is a product of the Volume Profile (IQ Profile) located on the right of the chart.
The IQ Profile is a segmented volume profile. Recent price is split into fifths (customizable), and individual volume profiles are calculated for all segmented price areas. Price is split into more than one segment to avoid a situation where volume in a ranging price zone far surpasses all other recent price areas - creating an "unusable" volume profile that doesn't offer helpful insights. If desired, you can set the segmenting option to "1" to calculate one unified volume profile for the entire price range.
The image above shows IQ Zones in action!
Core Features of IQ Zones
Value Area Support and Resistance Levels
Segmented volume profile for the recent trading period
Volume intensity heatmap
Support and resistance levels in high volume intensity may be more significant as price stoppers
The image above explains the labels marked along the y-axis of the IQ Profile.
The "more green" a price area/label is, the higher the volume intensity at the marked support/resistance area.
The image above further explains line lines protruding from the IQ Profile.
For this example, the value area of the candlestick (where most trading action occurred) is quite far from the high price of the candlestick that formed a resistance level! Using the value area of a candlestick that marks a key turning point to draw support/resistance offers insight into where the majority of trading action took place when the support/resistance level was forming!
Additionally, you can hover your mouse over the IQ Zone labels (triangles pointing up or down) to see the prices of the value area for the support/resistance level, including the total buying volume and total selling volume at the price area!
The image above further explains the IQ Profile!
You can segment the recent price area anywhere from 1 - 15 times.
The image above further explains IQ Zones and the IQ Profile!
That will be all for this indicator - a fun project to share with the community.
Thank you!
Linear Regression Channel UltimateKey Features and Benefits
Logarithmic scale option for improved analysis of long-term trends and volatile markets
Activity-based profiling using either touch count or volume data
Customizable channel width and number of profile fills
Adjustable number of most active levels displayed
Highly configurable visual settings for optimal chart readability
Why Logarithmic Scale Matters
The logarithmic scale option is a game-changer for analyzing assets with exponential growth or high volatility. Unlike linear scales, log scales represent percentage changes consistently across the price range. This allows for:
Better visualization of long-term trends
More accurate comparison of price movements across different price levels
Improved analysis of volatile assets or markets experiencing rapid growth
How It Works
The indicator calculates a linear regression line based on the specified period
Upper and lower channel lines are drawn at a customizable distance from the regression line
The space between the channel lines is divided into a user-defined number of levels
For each level, the indicator tracks either:
- The number of times price touches the level (touch count method)
- The total volume traded when price is at the level (volume method)
The most active levels are highlighted based on this activity data
Understanding Touch Count vs Volume
Touch count method: Useful for identifying key support/resistance levels based on price action alone
Volume method: Provides insight into levels where the most trading activity occurs, potentially indicating stronger support/resistance
Practical Applications
Trend identification and strength assessment
Support and resistance level discovery
Entry and exit point optimization
Volume profile analysis for improved market structure understanding
This Linear Regression Channel indicator combines powerful statistical analysis with flexible visualization options, making it an invaluable tool for traders and analysts across various timeframes and markets. Its unique features, especially the logarithmic scale and activity profiling, provide deeper insights into market behavior and potential turning points.
Advanced Klinger OscillatorAdvanced Klinger Oscillator
The Advanced Klinger Oscillator is an enhanced version of the traditional Klinger Oscillator, which measures the difference between two exponential moving averages (EMAs) of volume flow. This tool helps traders identify momentum shifts and potential trading opportunities.
Key Features:
Dual EMA Calculation: The oscillator calculates the difference between a short-term and a long-term EMA of volume flow, smoothing out price fluctuations for clearer trend analysis.
Signal Line: A signal line, which is an EMA of the Klinger Oscillator, generates buy and sell signals. A crossover above the signal line indicates a potential buy, while a crossover below suggests a sell.
Volume Confirmation: Signals are only generated when trading volume exceeds a specified threshold, ensuring that price movements are supported by sufficient market activity.
Trend Lines: Upper and lower trend lines are plotted above the oscillator, helping traders visualize momentum strength and identify bullish or bearish trends.
Background Color Coding: The indicator uses color changes in the background to indicate positive (green) and negative (red) momentum, allowing for quick assessment of market conditions.
Usage:
Traders can utilize the Advanced Klinger Oscillator to:
Identify entry and exit points based on oscillator and signal line crossovers.
Confirm trends by observing the relationship between the oscillator and its trend lines.
Make informed trading decisions by considering volume alongside price movements.
The Advanced Klinger Oscillator is a valuable addition to any trader's toolkit, combining price momentum, volume analysis, and visual cues for effective trading strategies.
TechniTrend: Volume and Momentum Analysis (Weighted)Description:
The TechniTrend: Volume and Momentum Analysis indicator combines volume analysis with multiple momentum indicators to provide a holistic view of market conditions. By integrating Weighted Relative Strength Index (RSI), Rate of Change (ROC), and Stochastic Oscillator (%K and %D), this indicator offers a comprehensive, blended signal that responds to both price momentum and volume trends. Ideal for identifying potential reversal zones, overbought/oversold conditions, and divergence patterns.
Features:
Volume and Momentum Analysis:
The core of this indicator is a "Combined Analysis Line" that integrates various momentum indicators, each weighted according to user-defined preferences. This line allows for dynamic responsiveness based on selected weightings for RSI, ROC, and Stochastic, making it highly customizable.
High Volume Area Highlight:
Periods of high trading volume (above the threshold defined by Volume Threshold Factor) are highlighted on the chart's background. This feature aids in identifying volume-driven price actions, especially when combined with overbought/oversold signals from the Combined Analysis Line.
Divergence Detection System:
Regular bullish and bearish divergence patterns are automatically detected and marked on the chart. The indicator uses a pivot-based approach with user-adjustable lookback periods to identify divergence patterns, helping traders spot potential reversal points.
Overbought/Oversold Zones:
The indicator displays overbought and oversold zones with gradient fills based on user-defined thresholds, enhancing visibility and helping to gauge market momentum.
Alert System:
Built-in alerts notify the trader when a regular bullish or bearish divergence is detected. This feature is especially useful for monitoring the market passively and receiving timely alerts for potential trend changes.
Settings:
Volume MA Length: Defines the length of the moving average used to smooth out volume data.
Momentum Length: Length for calculating the momentum indicators (e.g., RSI).
Volume Threshold Factor: Multiplier for determining high-volume levels, setting the bar for significant volume.
Weight Parameters: Assign weight percentages to each momentum indicator for precise calibration of the Combined Analysis Line.
Overbought/Oversold Thresholds: Adjusts the levels at which overbought and oversold conditions are displayed, providing custom sensitivity to market extremes.
Divergence Settings: Adjustable lookback periods for detecting divergence patterns, along with upper and lower ranges, which fine-tune the search for divergence points.
This indicator is highly configurable and offers a nuanced view of market conditions by combining volume and momentum signals. Designed to assist in identifying potential entry and exit points, the TechniTrend: Volume and Momentum Analysis is a powerful tool for both short-term and long-term traders.
PDF Smoothed Moving Average [BackQuant]PDF Smoothed Moving Average
Introducing BackQuant’s PDF Smoothed Moving Average (PDF-MA) — an innovative trading indicator that applies Probability Density Function (PDF) weighting to moving averages, creating a unique, trend-following tool that offers adaptive smoothing to price movements. This advanced indicator gives traders an edge by blending PDF-weighted values with conventional moving averages, helping to capture trend shifts with enhanced clarity.
Core Concept: Probability Density Function (PDF) Smoothing
The Probability Density Function (PDF) provides a mathematical approach to applying adaptive weighting to data points based on a specified variance and mean. In the PDF-MA indicator, the PDF function is used to weight price data, adding a layer of probabilistic smoothing that enhances the detection of trend strength while reducing noise.
The PDF weights are controlled by two key parameters:
Variance: Determines the spread of the weights, where higher values spread out the weighting effect, providing broader smoothing.
Mean : Centers the weights around a particular price value, influencing the trend’s directionality and sensitivity.
These PDF weights are applied to each price point over the chosen period, creating an adaptive and smooth moving average that more closely reflects the underlying price trend.
Blending PDF with Standard Moving Averages
To further improve the PDF-MA, this indicator combines the PDF-weighted average with a traditional moving average, selected by the user as either an Exponential Moving Average (EMA) or Simple Moving Average (SMA). This blended approach leverages the strengths of each method: the responsiveness of PDF smoothing and the robustness of conventional moving averages.
Smoothing Method: Traders can choose between EMA and SMA for the additional moving average layer. The EMA is more responsive to recent prices, while the SMA provides a consistent average across the selected period.
Smoothing Period: Controls the length of the lookback period, affecting how sensitive the average is to price changes.
The result is a PDF-MA that provides a reliable trend line, reflecting both the PDF weighting and traditional moving average values, ideal for use in trend-following and momentum-based strategies.
Trend Detection and Candle Coloring
The PDF-MA includes a built-in trend detection feature that dynamically colors candles based on the direction of the smoothed moving average:
Uptrend: When the PDF-MA value is increasing, the trend is considered bullish, and candles are colored green, indicating potential buying conditions.
Downtrend: When the PDF-MA value is decreasing, the trend is considered bearish, and candles are colored red, signaling potential selling or shorting conditions.
These color-coded candles provide a quick visual reference for the trend direction, helping traders make real-time decisions based on the current market trend.
Customization and Visualization Options
This indicator offers a range of customization options, allowing traders to tailor it to their specific preferences and trading environment:
Price Source : Choose the price data for calculation, with options like close, open, high, low, or HLC3.
Variance and Mean : Fine-tune the PDF weighting parameters to control the indicator’s sensitivity and responsiveness to price data.
Smoothing Method : Select either EMA or SMA to customize the conventional moving average layer used in conjunction with the PDF.
Smoothing Period : Set the lookback period for the moving average, with a longer period providing more stability and a shorter period offering greater sensitivity.
Candle Coloring : Enable or disable candle coloring based on trend direction, providing additional clarity in identifying bullish and bearish phases.
Trading Applications
The PDF Smoothed Moving Average can be applied across various trading strategies and timeframes:
Trend Following : By smoothing price data with PDF weighting, this indicator helps traders identify long-term trends while filtering out short-term noise.
Reversal Trading : The PDF-MA’s trend coloring feature can help pinpoint potential reversal points by showing shifts in the trend direction, allowing traders to enter or exit positions at optimal moments.
Swing Trading : The PDF-MA provides a clear trend line that swing traders can use to capture intermediate price moves, following the trend direction until it shifts.
Final Thoughts
The PDF Smoothed Moving Average is a highly adaptable indicator that combines probabilistic smoothing with traditional moving averages, providing a nuanced view of market trends. By integrating PDF-based weighting with the flexibility of EMA or SMA smoothing, this indicator offers traders an advanced tool for trend analysis that adapts to changing market conditions with reduced lag and increased accuracy.
Whether you’re trading trends, reversals, or swings, the PDF-MA offers valuable insights into the direction and strength of price movements, making it a versatile addition to any trading strategy.
ol1ls scalp proHello, I’m Omar.
In the world of trading, it is essential to simplify the buying and selling process to reduce complexities and increase opportunities for profit. Therefore, I have developed an effective strategy based on analyzing price movements using price channels.
Strategy Conditions: This strategy operates when the price touches one of the channel’s edges, as this touch indicates a strong trading opportunity. When the price touches the upper boundary of the channel, it signals a selling opportunity, while a touch at the lower boundary indicates a buying opportunity.
By using this approach, traders can make more confident decisions, making it easier for them to achieve profits.
العربية:
مرحبًا، أنا عمر.
في عالم التداول، من الضروري تبسيط عملية البيع والشراء لتقليل التعقيدات وزيادة الفرص لتحقيق الأرباح. لذلك، قمت بتطوير استراتيجية فعّالة تعتمد على تحليل حركة السعر باستخدام قنوات الأسعار.
شروط الاستراتيجية: تعمل هذه الاستراتيجية عندما يلمس السعر أحد طرفي القناة، حيث تشير هذه اللمسة إلى فرصة قوية للتداول. عندما يلامس السعر الحد العلوي للقناة، يكون ذلك إشارة للبيع، بينما يشير اللمس عند الحد السفلي إلى فرصة للشراء.
باستخدام هذه الطريقة، يمكن للمتداولين اتخاذ قرارات أكثر ثقة، مما يسهل عليهم تحقيق الأرباح.
TCM OverboughtRelative Strength Index (RSI) + Stochastic Oscillator: combined
RSI-70+
Stochastic Oscillator-80+
Produces flag
Demand and Supply with Price actionThis indicator is made by "Dawn Forex Academy". I have added price action, demand and supply with FVG. This indicator may help us to identify the potential buy and sell zone after its breakout.
Open Interest - Nifty, BankNifty, SensexDescription: The Open Interest - Multi-Index Analysis indicator provides a powerful tool for traders seeking to gain deeper insights into market sentiment by analyzing Open Interest (OI) across multiple indices simultaneously. This script combines the OI data from Nifty, Bank Index, and Sensex, allowing users to monitor shifts in volume and open interest, which are essential indicators of market activity, accumulation, and distribution phases. The script is designed with flexibility in mind, enabling traders to fine-tune the display to meet their specific analytical needs.
Key Features and Customizations
Versatile Display Options :
Open Interest : View OI data in a traditional format to track absolute levels of open interest.
Open Interest Delta : Displays the change in OI from one bar to the next, helping to identify increases or decreases in market participation.
OI Delta x Relative Volume : Provides a hybrid metric by multiplying the OI delta with relative volume, useful for spotting significant OI shifts that coincide with volume spikes.
Open Interest RSI : Visualize OI using a Relative Strength Index (RSI) to track the strength or weakness of open interest trends, which may signal overbought or oversold conditions.
Customizable Data Sources :
Enable or disable OI data from Nifty, Bank Index, and Sensex independently to create an aggregate view or focus on specific indices.
This flexibility allows traders to focus on the markets most relevant to their trading strategies.
Threshold-Based Highlights for Large OI Changes :
Threshold Multiplier : Define a multiplier to adjust the sensitivity for identifying large OI increases or decreases.
Visual Highlights : Choose fluorescent colors (green for increases and red for decreases) to quickly spot substantial changes in OI that may indicate strong buying or selling pressure.
Threshold Lines : Optionally display threshold lines on the chart to set visual benchmarks for significant OI changes, helping to filter out noise and focus on meaningful movements.
Additional Technical Analysis Tools :
Exponential Moving Average (EMA) : Plot an EMA line for the adjusted OI values, allowing traders to track trends and potential reversals. The EMA length and color are customizable to fit individual preferences.
Open Interest RSI : Optionally plot an RSI based on the OI values, with customizable period length and color, offering a view of the relative strength of OI. Horizontal lines at 30, 50, and 70 levels provide benchmarks for oversold, neutral, and overbought conditions.
OHLC Values for Multi-Index Open Interest :
Combines OHLC values from selected indices (Nifty, BankNifty, Sensex) to create an aggregated OI candle view, which can be adjusted based on quote currency (INR or Index).
This unique aggregation allows a multi-dimensional look at OI trends, helping traders to interpret the collective behavior of these key indices.
Dynamic Color Coding :
The indicator uses conditional coloring based on large OI changes and open-close price dynamics to make trends easily recognizable.
Up-trend and down-trend colors are customizable, so traders can visually distinguish between positive and negative movements quickly.
How to Use
Monitor Market Sentiment : By observing the changes in Open Interest across multiple indices, traders can gain insights into market sentiment and identify potential breakout or breakdown scenarios.
Spot Potential Reversals : The inclusion of EMA and RSI lines helps identify trend reversals and overbought/oversold conditions, providing an additional layer for decision-making.
Identify High-Volume Movements : The OI Delta x Relative Volume option is particularly useful for spotting large moves that are backed by volume, which may indicate the beginning of a new trend or an imminent reversal.
This indicator is ideal for advanced traders and analysts looking to enhance their market analysis by combining Open Interest data with technical indicators and customizable display options. Tailor the settings to align with your trading strategy, and use the highlighted OI thresholds to focus on critical market shifts. Whether you’re monitoring the general market trend or looking for high-probability entries and exits, this multi-index OI indicator provides a robust tool for making informed trading decisions.
Quick scan for cycles🙏🏻
The followup for
As I told before, ML based algorading is all about detecting any kind of non-randomness & exploiting it (cuz allegedly u cant trade randomness), and cycles are legit patterns that can be leveraged
But bro would u really apply Fourier / Wavelets / 'whatever else heavy' on every update of thousands of datasets, esp in real time on HFT / nearly HFT data? That's why this metric. It works much faster & eats hell of a less electicity, will do initial rough filtering of time series that might contain any kind of cyclic behaviour. And then, only on these filtered datasets u gonna put Periodograms / Autocorrelograms and see what's going there for real. Better to do it 10x times less a day on 10x less datasets, right?
I ended up with 2 methods / formulas, I called em 'type 0' and 'type 1':
- type 0: takes sum of abs deviations from drift line, scales it by max abs deviation from the same drift line;
- type 1: takes sum of abs deviations from drift line, scales it by range of non-abs deviations from the same drift line.
Finnaly I've chosen type 0 , both logically (sum of abs dev divided by max abs dev makes more sense) and experimentally. About that actually, here are both formulas put on sine waves with uniform noise:
^^ generated sine wave with uniform noise
^^ both formulas on that wave
^^ both formulas on real data
As you can see type 0 is less affected by noise and shows higher values on synthetic data, but I decided to put type 1 inside as well, in case my analysis was not complete and on real data type 1 can actually be better since it has a lil higher info gain / info content (still not sure). But I can assure u that out of all other ways I've designed & tested for quite a time I tell you, these 2 are really the only ones who got there.
Now about dem thresholds and how to use it.
Both type 0 and type 1 can be modelled with Beta distribution, and based on it and on some obvious & tho non mainstream statistical modelling techniques, I got these thresholds, so these are not optimized overfitted values, but natural ones. Each type has 3 thresholds (from lowest to highest):
- typical value (turned off by default). aka basis ;
- typical deviation from typical value, aka deviation ;
- maximum modelled deviation from typical value (idk whow to call it properly for now, this is my own R&D), aka extension .
So when the metric is above one of these thresholds (which one is up to you, you'll read about it in a sec), it means that there might be a strong enough periodic signal inside the data, and the data got to be put through proper spectral analysis tools to confirm / deny it.
If you look at the pictures above again, you'll see gray signal, that's uniform noise. Take a look at it and see where does it sit comparing to the thresholds. Now you just undertand that picking up a threshold is all about the amount of false positives you care to withstand.
If you take basis as threshold, you'll get tons of false positives (that's why it's even turned off by default), but you'll almost never miss a true positive. If you take deviation as threshold, it's gonna be kinda balanced approach. If you take extension as threshold, you gonna miss some cycles, and gonna get only the strongest ones.
More true positives -> more false positives, less false positives -> less true positives, can't go around that mane
Just to be clear again, I am not completely sure yet, but I def lean towards type 0 as metric, and deviation as threshold.
Live Long and Prosper
P.S.: That was actually the main R&D of the last month, that script I've released earlier came out as derivative.
P.S.: These 2 are the first R&Ds made completely in " art-space", St. Petersburg. Come and see me, say wassup🤘🏻
O Piá Das Criptos - Super RSI BASED!Estrutura Geral do Código:
O código é um indicador de análise técnica que combina o Índice de Força Relativa (RSI) e a Média Móvel Exponencial (EMA) do RSI do Bitcoin (BTC). O objetivo é ajudar os traders a identificar condições de sobrecompra e sobrevenda, assim como a força relativa do ativo em comparação ao Bitcoin.
Youtube: O Piá das Criptos!
Definições Iniciais:
- RSI, EMA e SMMA: O código permite que o usuário defina os períodos para o RSI (padrão de 14), EMA do RSI e SMMA (Média Móvel Suavizada) do RSI. Os valores padrão são 14 para o RSI e 9 para a EMA do RSI do BTC.
Cálculo do RSI:
- RSI do Ativo Atual: Calcula o RSI do ativo que está sendo analisado com base no fechamento das velas.
- RSI do Bitcoin: Usa a função request.security para buscar o RSI do Bitcoin, permitindo comparações entre o ativo e o BTC.
Cores das Linhas do RSI
Linha do RSI do Ativo:
-Cor Azul: Quando o RSI do ativo está acima do RSI do Bitcoin.
-Cor Verde: Quando o RSI do ativo está acima de 70 (zona de sobrecompra).
-Cor Vermelha: Quando o RSI do ativo está abaixo de 30 (zona de sobrevenda).
- Branca: Cor padrão quando o ativo não está em uma condição extrema.
- Quando o RSI do Bitcoin está acima de 70, indicando que o Bitcoin está sobrecomprado. Essa linha pode ficar mais transparente se estiver abaixo do nível de sobrecompra, o que a torna menos proeminente visualmente (vermelho).
Linha do RSI do Bitcoin:
-Cor Vermelha: Quando o RSI do Bitcoin está acima de 70 (zona de sobrecompra).
-Cor Vermelha com Transparência: Quando o RSI do Bitcoin está abaixo de 70.
Cálculo das Médias Móveis:
- EMA do RSI do Bitcoin: Calcula a média móvel exponencial do RSI do Bitcoin com base no período definido (9).
- SMMA do RSI do Ativo: Calcula a média móvel suavizada do RSI do ativo, usando o período definido (14).
Linhas de Sobrecompra e Sobrevenda
Linhas Horizontais:
-Sobrecompra (70): Linha pontilhada verde.
-Sobrevenda (30): Linha pontilhada vermelha.
-Linha do Meio (50): Linha pontilhada cinza.
Preenchimento:
-Área acima de 70 é preenchida em verde (zona de sobrecompra).
-Área abaixo de 30 é preenchida em vermelho (zona de sobrevenda).
Cálculo do Delta BTC:
- O Delta BTC é calculado em múltiplos timeframes (1 minuto, 5 minutos, 15 minutos, 1 hora, 4 horas e 1 dia) usando o RSI do ativo e comparando com a EMA do RSI do Bitcoin.
Cor das Velas
Candle de Compra:
- Azul, se o fechamento da vela for maior que a abertura e se o ativo estiver acima do BTC.
Candle de Venda:
- Laranja, se o fechamento da vela for menor que a abertura e se o ativo estiver acima do BTC.
Alertas
Configura alertas para notificar o usuário quando:
- O ativo ultrapassa a linha de sobrecompra.
- O ativo cai abaixo da linha de sobrevenda.
Etiquetas:
- As etiquetas são criadas para mostrar os valores atuais do RSI do ativo, do RSI do Bitcoin, da EMA do RSI do Bitcoin e da SMMA do RSI do ativo. Elas são adicionadas ao gráfico, e etiquetas antigas são removidas para evitar confusão.
Bolinhas no Gráfico
-As bolinhas servem como indicadores visuais para várias condições
Cruzamento da EMA:
- Bolinhas Verdes: Quando a EMA do RSI do Bitcoin cruza para cima.
- Bolinhas Vermelhas: Quando a EMA do RSI do Bitcoin cruza para baixo.
Condições do RSI do Ativo:
- Bolinhas Azuis: Quando o RSI do ativo está acima de 50, acima da EMA do RSI do BTC e acima do próprio RSI do Bitcoin.
Cruzamento do RSI do Ativo com o RSI do Bitcoin:
-Bolinhas Brancas: Quando o RSI do ativo cruza o RSI do Bitcoin.
Cruzamento do RSI do Ativo com a EMA do RSI do Bitcoin:
-"X" Verdes: Quando o RSI do ativo cruza para cima a EMA do RSI do Bitcoin.
-"X" Vermelhos: Quando o RSI do ativo cruza para baixo a EMA do RSI do Bitcoin
Zafer V5deneme amaçlı yayındır.
Bu indikatör fiyat alanları , konsolide alanlar ve emir bloklarını-yoğunluklarını gösteren bir indikatördür.
Tek bir çizgi halinde trend yönünü gösteren trend hat çizgisini bunlara ek olarak takip edebilirsiniz.
Hacimli piyasalarda en güvenli işlem yöntemi "price action" diye tabir edilen fiyat odaklı trade yöntemidir.
Bu indikatörün yapılış/derleniş amacı da bu trade yapısına yardımcı olmaktır.
Fiyat alanları ve emir blokları 2-3 bar gecikmeli gözükmektedir. Bu alanların belirlenebilmesi için bu gecikme normaldir.
Hiç bir indikatörün kesinliği
olmadığı gibi bu indikatöründe kesinliği yoktur.
İndikatör bu alanda iyi çalışan indikatörlerin ve kendi yazdığım indikatörlerin derlemesidir.
Gap Fill IndicatorPlots the gap and half gap fill based on the 4:00PM UTC-4 cash close or the 4:14PM UTC-4 RTH close.
It also marked the 10. 20. and 30 handle moves that correlate with our gap fill statistics,
the daily on intraday Pivot Point Level and the opening price.
To learn how to use it in your trading visit eminiaddict.com
Red Line = Gap Fill Price
Yellow Line = Half Gap Fill Price
Blue Line = Session Open Price
White line = Daily or Intraday Pivot Line
[TrendHunterTeo] L1 Sell after Pump Detectorindicatör gerçekten çok kullanışlı tüm zaman dilimlerinde repaint yapmadan bu kadar net sinyaller almak muazzam herkese bol kazançlar
Daily Volatility Limit Channel
Hello, this is the simplest yet most powerful tool I have discovered regarding volatility. Using the ATR17 value based on a 4-hour timeframe, this tool displays the most significant volatility thresholds for the day, clearly showing when strong trends occur as these boundaries are breached. Once a boundary is crossed, the price of Bitcoin (as well as other actively traded asset classes like stocks and futures) tends to continue moving in the direction of the breakout. If the price reaches a boundary but fails to break through, this point often becomes the lowest point of pullback or correction, effectively serving as a pivot point and the optimal entry for buying.
The indicator features color and arrow options, enhancing your trading experience. The arrows appear below the candles when the trend changes to an upward impulse and above the candles when it shifts to a downward impulse. This visual aid allows traders to quickly identify trend reversals and make informed decisions.
In summary, this tool effectively highlights volatility limits and trend reversals, making it a valuable asset for any trader looking to navigate the market efficiently.
This indicator is recommended for use on 2-hour or 4-hour candlestick charts. These timeframes allow for clearer visualization of volatility and help effectively identify strong trends and volatility boundaries.
안녕하세요. 이것은 변동성에 관해 제가 발견한 것 중 가장 심플하고도 강력한 툴입니다. 4시간 기준의 ATR17값을 사용한 이 툴은 당일의 가장 강력한 변동성 한계점을 보여주며, 이 변동성 경계가 돌파될 때 강한 추세가 일어나는 것을 명확히 보여줍니다. 한 번 경계가 돌파되면 비트코인 가격(그리고 주식, 선물 등 다른 대부분의 모든 가격을 가지고 활발하게 거래되는 자산군)은 해당 돌파 쪽의 트렌드로 계속 움직이는 경향이 있습니다. 만약 가격이 경계에 도달한 채로 이 경계를 돌파하지 못할 때는 이 자리가 눌림과 조정의 최저점, 즉 피봇 포인트가 되어 매수의 최적 지점이 되는 것을 보실 수 있습니다.
지표에는 컬러 옵션과 화살표 옵션이 있어 거래 경험을 향상시킵니다. 트렌드가 상승 임펄스로 변경될 때 화살표가 캔들 아래에 나타나고, 하락 임펄스로 변경될 때는 캔들 위에 나타납니다. 이 시각적 도구는 트렌드 반전을 빠르게 식별할 수 있도록 도와주어, 거래자들이 정보에 기반한 결정을 내리는 데 유용합니다.
요약하자면, 이 툴은 변동성 한계와 트렌드 반전을 효과적으로 강조하여, 시장을 효율적으로 탐색하려는 모든 거래자에게 가치 있는 자산이 될 것입니다.
이 지표는 2시간 또는 4시간 캔들 차트에서 사용하는 것이 권장됩니다. 이러한 시간대는 지표의 변동성을 보다 명확하게 시각화하며, 강한 추세와 변동성 한계점을 효과적으로 식별하는 데 도움을 줍니다.
SUPPLY AND DEMAND EB ADD TO CHART 1Key Changes:
Single Label: The script now creates a single label that shows the maximum energy value (either long or short) from the candle that produced the supply or demand line.
Storage of Max Energy: The maximum energy value is calculated and stored separately, ensuring only relevant data is displayed.
This ensures a cleaner output while still conveying the necessary information. Let me know if you need any further adjustments!
Teo Volatility Signal System Xtreambu komut dosyamızda bir kaç ekleme ile grafik üzerine işlem de ekleyerek çeşitlendirdik umarım yararlı olmuştur
O Piá Das Criptos - Gráfico BASED//FORÇA DO RSI: O script calcula o RSI para o ativo em análise e para o Bitcoin (BTC). A força do RSI é a diferença entre o RSI do ativo atual e o RSI do Bitcoin. Um valor positivo indica que o ativo está mais forte em relação ao BTC, enquanto um valor negativo indica fraqueza.
//DELTA BTC: O script calcula a variação percentual do preço do ativo e do BTC para diferentes intervalos de tempo (1 minuto, 5 minutos, 15 minutos, etc.). O Delta BTC é então a diferença entre essas variações. Um valor positivo indica que o ativo teve um desempenho melhor que o BTC, enquanto um valor negativo indica o contrário.
//EXP BTC: O script calcula a EMA do ativo e a EMA do BTC e depois determina a diferença percentual entre o preço atual e essas EMAs. A comparação mostra como o ativo está performando em relação ao BTC baseado nas EMAs. Valores positivos sugerem que o ativo está performando melhor em relação ao BTC em termos de média móvel, enquanto valores negativos sugerem o oposto.
//EMAS: O código calcula EMAs de diferentes períodos (9, 21, 50, 100, 150, 200, 210, 250, 300) e as plota no gráfico. A interseção entre EMAs de diferentes períodos é usada para identificar possíveis sinais de compra e venda.
//SINAIS DE COMPRA: Quando a EMA de 9 períodos cruza acima da EMA de 21 períodos (crossover), é gerado um emoticon de coração. A parte interna das EMA fica verde.
//SINAIS DE VENDA: Quando a EMA de 9 períodos cruza abaixo da EMA de 21 períodos (crossunder), é gerado um emoticoin de raiva. A parte interna das EMA fica vermelha.
//FUNDO GRÁFICO: A cor do fundo do gráfico pode ser alterada com base na força do RSI, facilitando a visualização rápida do estado do ativo (força ou fraqueza).
//ALERTAS: notificam o trader sobre aumento ou diminuição da força do ativo em relação ao BTC, e Cruzamentos das EMAs (crossover e crossunder), ajudando o trader a não perder oportunidades.
//ALVOS DO TOURO: Calculados quando a EMA de 9 cruza acima da EMA de 21. Os alvos são definidos com base na diferença entre o preço de abertura do candle (na hora do crossover) e uma média do preço máximo recente.
//ALVOS DO URSO: Calculados quando a EMA de 9 cruza abaixo da EMA de 21. Os alvos são definidos com base na diferença entre o preço de abertura do candle (na hora do crossunder) e uma média do preço mínimo recente.
