Power Core MAThe Power Core MA indicator is a powerful tool designed to identify the most significant moving average (MA) in a given price chart. This indicator analyzes a wide range of moving averages, from 50 to 400 periods, to determine which one has the strongest influence on the current price action.
The blue line plotted on the chart represents the "Current Core MA," which is the moving average that is most closely aligned with other nearby moving averages. This line indicates the current trend and potential support or resistance levels.
The table displayed on the chart provides two important pieces of information. The "Current Core MA" value shows the length of the moving average that is currently most influential. The "Historical Core MA" value represents the average length of the most influential moving averages over time.
This indicator is particularly useful for traders and analysts who want to identify the most relevant moving average for their analysis. By focusing on the moving average that has the strongest historical significance, users can make more informed decisions about trend direction, support and resistance levels, and potential entry or exit points.
The Power Core MA is an excellent tool for those interested in finding the strongest moving average in the price history. It simplifies the process of analyzing multiple moving averages by automatically identifying the most influential one, saving time and providing valuable insights into market dynamics.
By combining current and historical data, this indicator offers a comprehensive view of the market's behavior, helping traders to adapt their strategies to the most relevant timeframes and trend strengths.
Cycles
EMA Touch Alertit shows when price is touching with 10 ema,it is useful if u dont want to zoom in on price
Nami Bands with Future Projection [FXSMARTLAB]The Nami Bands ( Inspired by "Nami", meaning "wave" in Japanese) are two dynamic bands around price data: an upper band and a lower band. These bands are calculated based on an Asymmetric Linear Weighted Moving Average of price and a similarly asymmetric weighted standard deviation. This weighting method emphasizes recent data without overreacting to short-term price changes, thus smoothing the bands in line with prevailing market conditions.
Advantages and Benefits of Using the Indicator
* Volatility Analysis: The bands expand and contract with market volatility, helping traders assess periods of high and low volatility. Narrow bands indicate low volatility and potential consolidation, while wide bands suggest increased volatility and potential price movement.
* Dynamic Support and Resistance Levels: By adapting to recent trends, the bands serve as dynamic support (lower band) and resistance (upper band) levels, which traders can use for entry and exit signals.
* Overbought and Oversold Conditions: When prices reach or cross the bands’ outer limits, it may signal overbought (upper band) or oversold (lower band) conditions, suggesting possible reversals or trend slowdowns.
* Trend Confirmation and Continuation: The slope of the central moving average confirms trend direction. An upward slope generally indicates a bullish trend, while a downward slope suggests a bearish trend.
* Anticipating Breakouts and Reversals: The projected bands help identify where price movements may head, allowing traders to anticipate potential breakouts or reversals based on projected support and resistance.
Indicator Parameters
Source (src): The price data used for calculations, by default set to the average of high, low, and close (hlc3).
Length: The period over which calculations are made, defaulted to 50 periods.
Projection Length: The length for future band projection, defaulted to 20 periods.
StdDev Multiplier (mult): A multiplier for the standard deviation, defaulted to 2.0.
Internal Calculations
1. Asymmetric Linear Weighted Moving Average of Price
The indicator uses an Asymmetric Linear Weighted Moving Average (ALWMA) to calculate a central value for the price.
Asymmetric Weighting: This weighting technique assigns the highest weight to the most recent value, with weights decreasing linearly as the data points become older. This structure provides a nuanced focus on recent price trends, while still reflecting historical price levels.
2. Asymmetric Weighted Standard Deviation
The standard deviation in this indicator is also calculated using asymmetric weighting:
Purpose of Asymmetric Weighted Standard Deviation: Rather than aiming for high sensitivity to recent data, this standard deviation measure smooths out volatility by integrating weighted values across the length period, stabilizing the overall measurement of price variability.
This approach yields a balanced view of volatility, capturing broader market trends without being overly reactive to short-lived changes.
3. Upper and Lower Bands
The upper and lower bands are created by adding and subtracting the asymmetric weighted standard deviation from the asymmetric weighted average of price. This creates a dynamic envelope that adjusts to both recent price trends and the smoothed volatility measure:
These bands represent adaptable support and resistance levels that shift with recent market volatility.
Future Band Projection
The indicator provides a projection of the bands based on their current slope.
1. Calculating the Slope of the Bands
The slope for each band is derived from the difference between the current and previous values of each band.
2. Projecting the Bands into the Future
For each period into the future, up to the defined Projection Length, the bands are projected using the current slope.
This feature offers an anticipated view of where support and resistance levels may move, providing insight for future market behavior based on current trends.
Cruce de Medias AvanzadoLa estrategia es muy simple, es cruce de medias móviles, por defecto la rápida es 50 y la lenta 200 pero se pueden personalizar, es una estrategia a largo plazo que ha demostrado ser muy rentable en cualquiera de sus medias con índices en gráficos diarios.
Se pueden elegir distintos tipos de medias móviles existentes y ajustar la rentabilidad de cada una y ajustar sus medias móviles a para aumentar la rentabilidad.
Aquí tienes una descripción de las medias móviles añadidas al script y sus características:
Simple SMA (Media Móvil Simple):
Calcula el promedio simple de los precios de cierre durante un período específico.
Es la más básica y fácil de interpretar, pero puede ser lenta para reaccionar a los cambios bruscos en el precio.
Exponencial EMA (Media Móvil Exponencial):
Da más peso a los precios recientes, lo que la hace más sensible a los cambios de precio.
Responde más rápidamente a las fluctuaciones del mercado en comparación con la SMA, lo que ayuda a detectar cambios de tendencia más temprano.
Ponderada WMA (Media Móvil Ponderada):
Asigna más peso a los datos más recientes de forma lineal.
Proporciona un balance entre la sensibilidad de la EMA y la suavidad de la SMA, siendo útil para seguir tendencias a corto plazo.
Volumen Ponderada VWMA (Media Móvil Ponderada por Volumen):
Pondera los precios según el volumen de negociación, dándole más importancia a los precios con mayor volumen.
Es útil para analizar si los movimientos de precio están respaldados por un volumen alto, lo que indica mayor relevancia.
Hull HMA (Media Móvil de Hull):
Diseñada para minimizar el retraso y aumentar la sensibilidad al mismo tiempo.
Combina el suavizado y la rápida respuesta al precio, lo que la hace adecuada para traders que necesitan detectar cambios de tendencia rápidamente.
Media Suavizada RMA (Media Móvil Suavizada):
Es similar a la EMA pero con un suavizado diferente, proporcionando un promedio que filtra de forma más efectiva el ruido de precios.
Suele usarse para análisis de tendencias a medio plazo.
Media de Arnaud Legoux ALMA (Media Móvil ALMA):
Utiliza un algoritmo especial de suavizado con control de sesgo para reducir el ruido y mejorar la detección de tendencias.
Permite ajustar los parámetros de sesgo y suavizado para adaptarse a diferentes necesidades de trading.
Es conocida por su capacidad de mantener una respuesta rápida al precio al tiempo que suprime el ruido.
Estas medias móviles ofrecen diferentes enfoques para seguir y analizar las tendencias en los precios. Dependiendo de tu estrategia de trading, puedes elegir la media móvil que mejor se adapte a tus necesidades: desde una respuesta rápida con la HMA o EMA, hasta un enfoque más estable y menos reactivo con la SMA o RMA.
Average Monthly Closing Direction StrategyEstrategia que diseñé, que combina patrones históricos y filtros técnicos para mejorar las probabilidades de éxito en trading. La idea es simple: he identificado ciertos días específicos del mes que, según los datos históricos, tienen tendencia a cerrar en positivo (suben) o en negativo (bajan).
Highlight 9:15 AM to 3:30 PM ISTindian share market time. this time frame you can used with cryptotrading session, dow jones
FlexiMA - Customizable Moving Averages ProDescrição:
O FlexiMA - Customizable Moving Averages Pro é um indicador de médias móveis altamente customizável desenvolvido para traders que buscam flexibilidade e precisão na análise de tendência. Este indicador permite ao usuário ajustar até quatro médias móveis, escolhendo o tipo de média, período, cor, estilo e espessura das linhas de acordo com sua estratégia.
Funcionalidades Principais:
Seleção do Tipo de Média Móvel:
O FlexiMA oferece múltiplas opções de médias móveis para cada uma das quatro linhas disponíveis. Isso inclui tipos de médias clássicas, como Simples (SMA), Exponencial (EMA), e outras avançadas como Welles Wilder.
Personalização de Períodos:
O usuário pode configurar períodos distintos para cada média móvel, tornando o indicador adaptável tanto para estratégias de curto quanto de longo prazo.
Controle Completo do Estilo:
O FlexiMA permite ajustar a cor, a espessura e o tipo de linha (contínua, pontilhada, etc.) de cada média móvel, proporcionando uma visualização clara e organizada no gráfico.
Ativação/Desativação de Médias:
Cada uma das quatro médias móveis pode ser ativada ou desativada de forma independente, permitindo que o trader trabalhe com uma única média, pares, ou todas as quatro, conforme necessário.
Como Utilizar:
Este indicador é projetado para servir tanto traders iniciantes quanto experientes. Você pode configurá-lo para ajudar a identificar tendências de alta e baixa, pontos de reversão e até sinais de entrada e saída.
O FlexiMA permite, por exemplo, definir uma combinação clássica de médias de 50 e 200 períodos para identificar mudanças de tendência de longo prazo, enquanto as médias mais curtas podem ser usadas para sinalizar entradas rápidas.
Exemplos de Aplicação:
Estratégia de Cruzamento: Defina uma média de curto prazo e uma de longo prazo e acompanhe os pontos de cruzamento para detectar mudanças de tendência.
Análise Multi-Temporal: Configure cada média móvel para períodos diferentes e utilize-os para analisar tendências em várias janelas temporais ao mesmo tempo.
Confirmação de Volume: Com a opção de incluir a VWMA, é possível obter uma leitura de tendência ponderada pelo volume, útil para confirmar a força das movimentações de preço.
Recomendações:
Este indicador é recomendado para traders que buscam um maior controle sobre suas análises de tendências e uma experiência de uso personalizada no TradingView.
Resumo das Configurações:
Tipos de Média: SMA, EMA, WW.
Configuração de Período: Definido pelo usuário para cada média.
Estilo de Linha: Contínua, pontilhada, entre outros.
Cor e Espessura: Totalmente customizáveis.
ViganThe Vigan is a range bound momentum oscillator. This is designed to display the advance location of the close compared to the high/low range over a user defined number of periods. Typically, this is used for three things; Identifying overbought and oversold levels, spotting divergences and also identifying bull and bear set ups or signals.
ATT Model with Buy/Sell SignalsIndicator Summary
This indicator is based on the ATT (Arithmetic Time Theory) model, using specific turning points derived from the ATT sequence (3, 11, 17, 29, 41, 47, 53, 59) to identify potential market reversals. It also integrates the RSI (Relative Strength Index) to confirm overbought and oversold conditions, triggering buy and sell signals when conditions align with the ATT sequence and RSI level.
Turning Points: Detected based on the ATT sequence applied to bar count. This suggests high-probability areas where the market could turn.
RSI Filter: Adds strength to the signals by ensuring buy signals occur when RSI is oversold (<30) and sell signals when RSI is overbought (>70).
Max Signals Per Session: Limits signals to two per session to reduce over-trading.
Entry Criteria
Buy Signal: Enter a buy trade if:
The indicator displays a green "BUY" marker.
RSI is below the oversold level (default <30), suggesting a potential upward reversal.
Sell Signal: Enter a sell trade if:
The indicator displays a red "SELL" marker.
RSI is above the overbought level (default >70), indicating a potential downward reversal.
Exit Criteria
Take Profit (TP):
Define TP as a fixed percentage or point value based on the asset's volatility. For example, set TP at 1.5-2x the risk, or a predefined point target (like 50-100 points).
Alternatively, exit the position when price approaches a key support/resistance level or the next significant swing high/low.
Stop Loss (SL):
Place the SL below the recent low (for buys) or above the recent high (for sells).
Set a fixed SL in points or percentage based on the asset’s average movement range, like an ATR-based stop, or limit it to a specific risk amount per trade (1-2% of account).
Trailing into Profit
Use a trailing strategy to lock in profits and let winning trades run further. Two main options:
ATR Trailing Stop:
Set the trailing stop based on the ATR (Average True Range), adjusting every time a new candle closes. This can help in volatile markets by keeping the stop at a consistent distance based on recent price movement.
Break-Even and Partial Profits:
When the price moves in your favor by a set amount (e.g., 1:1 risk/reward), move SL to the entry (break-even).
Take partial profit at intermediate levels (e.g., 50% at 1:1 RR) and trail the remainder.
Risk Management for Prop Firm Evaluation
Prop firms often have strict rules on daily loss limits, max drawdowns, and minimum profit targets. Here’s how to align your strategy with these:
Limit Risk per Trade:
Keep risk per trade to a conservative level (e.g., 1% or lower of your account balance). This allows for more room in case of a drawdown and aligns with most prop firm requirements.
Daily Loss Limits:
Set a daily stop-loss that ensures you don’t exceed the firm’s rules. For example, if the daily limit is 5%, stop trading once you reach a 3-4% drawdown.
Avoid Over-Trading:
Stick to the max signals per session rule (one or two trades). Taking only high-probability setups reduces emotional and reactive trades, preserving capital.
Stick to a Profit Target:
Aim to meet the evaluation’s profit goal efficiently but avoid risky or oversized trades to reach it faster.
Avoid Major Economic Events:
News events can disrupt technical setups. Avoid trading around significant releases (like FOMC or NFP) to reduce the chance of sudden losses due to high volatility.
Summary
Using this strategy with discipline, a structured entry/exit approach, and tight risk management can maximize your chances of passing a prop firm evaluation. The ATT model’s turning points, combined with the RSI, provide an edge by highlighting reversal zones, while limiting trades to 1-2 per session helps maintain controlled risk.
Enhanced 1-Hour Strategy for Maximized ReturnsEnhanced 1-Hour Strategy for Maximized Returns
Overview
This is a trend-following and volatility-based breakout strategy designed for trading on the one-hour timeframe. It combines moving average crossovers, RSI for momentum, and Bollinger Bands as a volatility filter to confirm entries and exits. With a focus on maximizing returns, this strategy is tuned to work with leveraged trading and dynamically allocates position sizes based on available equity.
How the Strategy Works
Trend Detection: The strategy uses two moving averages—a short-term and a long-term—to detect trends.
A crossover of the short moving average above the long moving average indicates a potential upward trend.
Conversely, a crossover of the short moving average below the long moving average suggests a downward trend.
Momentum Confirmation with RSI: To avoid entering trades in low-momentum conditions, the strategy employs the Relative Strength Index (RSI).
A long (buy) trade is considered only when RSI is above a set threshold, indicating upward momentum.
A short (sell) trade is considered only when RSI is below a set threshold, indicating downward momentum.
Volatility Filter with Bollinger Bands: Bollinger Bands act as a filter to ensure the strategy enters trades only during periods of higher volatility.
For a long trade, the price must be above the lower Bollinger Band.
For a short trade, the price must be below the upper Bollinger Band.
ATR-Based Stop-Loss and Take-Profit: The strategy uses the Average True Range (ATR) to set stop-loss and take-profit levels dynamically based on market volatility.
The stop-loss level is set at a certain multiplier of the ATR below (for long trades) or above (for short trades) the entry price.
The take-profit level is set at a larger ATR multiplier, allowing the strategy to capture larger movements.
Position Sizing with Leverage: The position size is calculated as a percentage of equity, leveraging it to maximize returns as the account balance grows.
Key Variables and Adjustable Parameters
Here are the adjustable inputs in the strategy, allowing traders to tailor it to their preferences:
Moving Averages:
Short MA Length (shortMaLength): Length of the short-term moving average (default: 14).
Long MA Length (longMaLength): Length of the long-term moving average (default: 50).
These lengths can be adjusted to make the moving average crossovers more or less sensitive.
RSI Settings:
RSI Length (rsiLength): Length of the RSI calculation (default: 14).
RSI Upper Threshold (rsiUpperThreshold): Minimum RSI value required for long trades (default: 60).
RSI Lower Threshold (rsiLowerThreshold): Maximum RSI value allowed for short trades (default: 40).
Adjusting these thresholds can help control the momentum conditions required for trades.
ATR Multipliers for Stop-Loss and Take-Profit:
ATR Stop-Loss Multiplier (atrMultiplierStopLoss): Multiplier for the ATR to set the stop-loss level (default: 1.5).
ATR Take-Profit Multiplier (atrMultiplierTakeProfit): Multiplier for the ATR to set the take-profit level (default: 3.0).
Tuning these multipliers can help in balancing risk and reward, depending on market volatility.
Bollinger Bands Settings:
Deviation (dev): The standard deviation multiplier for Bollinger Bands (default: 2).
Bollinger Bands provide a volatility filter, and this multiplier affects the width of the bands.
Position Sizing and Leverage:
Leverage (leverage): The leverage applied to the position (default: 10).
Allocation Percent (allocationPercent): The percentage of equity allocated to each trade (default: 0.1 or 10%).
Adjusting these settings can increase or decrease the position size relative to your equity, helping control risk exposure.
trailing stpTHAICHUYENTOAN I WANT TO BE A MILIONARE\
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Trend Filtering v1.0Trend Filtering v1.0: Multi-Layered Trend Detection and Analysis
The Trend Filtering v1.0 indicator combines powerful trend classification and filtering methods to assist traders in identifying potential market trends and reversals. Designed with versatility and customization in mind, it integrates multiple technical indicators to offer a comprehensive view of trend strength and direction, supporting traders in decision-making for entries, exits, and overall bias.
Key Features and Components
Ichimoku Cloud for Trend Direction
The Ichimoku Cloud identifies general trend direction and potential reversal zones by analyzing price position in relation to its components:
Tenkan-sen and Kijun-sen provide insight into short- and medium-term trend alignments.
Senkou Span A and Senkou Span B form a shaded cloud area on the chart, with the cloud’s color shifting dynamically (green for uptrend, red for downtrend), highlighting bullish and bearish market biases.
ATR-Based Trend Strength
The indicator uses the Average True Range (ATR) to measure trend strength. Higher ATR values reflect increased volatility, reinforcing the validity of the ongoing trend when other conditions align.
Bollinger Bands for Volatility Insights
Bollinger Bands (BB) outline market volatility by containing price action within their upper and lower bands. A breakout from the bands can signal a continuation of the trend or emergence of a new one.
RSI and MACD Confirmation
RSI (Relative Strength Index): Confirms trend momentum; values above 50 indicate an upward trend, while values below 50 suggest a downward trend.
MACD (Moving Average Convergence Divergence): Its histogram provides additional momentum confirmation, with positive values supporting uptrends and negative values supporting downtrends.
Trend Classification System
Scope of work:
Ichimoku determines overall trend bias, ATR measures trend volatility, and Bollinger Bands indicate potential breakouts. RSI and MACD then confirm momentum, with all components aligning to classify the market as either bullish, bearish, or neutral.
The indicator categorizes market conditions into three primary states, aiding traders in aligning their strategies with the prevailing trend:
Strong Uptrend: Identified by multiple bullish indicators:
Tenkan-sen above Kijun-sen.
Price above both Senkou Span A and Senkou Span B.
RSI above 50.
Positive MACD histogram.
Strong Downtrend: Characterized by bearish criteria:
Tenkan-sen below Kijun-sen.
Price below both Senkou Span A and Senkou Span B.
RSI below 50.
Negative MACD histogram.
Neutral (Ranging): When none of the above conditions are strongly met, suggesting that the market may be range-bound, requiring additional indicators or tools to confirm entry points.
Visualization and Usage
Background Color Coding:
The chart background color shifts based on the detected trend state, with green for strong uptrends, grey for neutral, and red for strong downtrends. This offers a quick visual reference for traders, indicating the market’s current bias.
Dynamic Ichimoku Cloud:
The cloud color reflects the relationship between Senkou Span A and B, shifting between green and red to signal bullish or bearish biases.
Additional Visuals for RSI and MACD:
Optional RSI and MACD plots are available, allowing traders to see confirmation signals at a glance without extra indicators.
How to Use Trend Filtering v1.0
This indicator is best suited for 4-hour timeframes, offering a higher-level trend view that can be used to inform lower timeframe strategies (e.g., 1-hour) by matching identified trends with price action.
Strong Uptrend: Favor long (buying) opportunities. Look for bullish price action confirmations, such as breakouts above resistance, on lower timeframes.
Strong Downtrend: Favor shorting (selling) opportunities, confirmed by bearish price action on lower timeframes, such as breakouts below support.
Neutral: Exercise caution, as trend direction is unclear. Look for additional indicators or price patterns for precise entries and exits.
Customization and Additional Considerations
The Trend Filtering v1.0 indicator offers customizable parameters, enabling adjustments for various markets and trading styles. Traders are encouraged to backtest and optimize settings for improved strategy alignment.
Price Action Confirmation: While Trend Filtering v1.0 provides a strong trend framework, confirmations via price action on lower timeframes are essential.
Risk Management: Due to potential false signals, especially in volatile or choppy conditions, using stop-losses and other risk management strategies is recommended.
Note: For clearer charts, it’s recommended to disable individual indicators (Ichimoku Cloud, Bollinger Bands, etc.) in the settings, leaving only the trend classification results visible. This approach emphasizes trend filtering outputs, simplifying analysis.
Disclaimer:
Trend Filtering v1.0 combines Ichimoku, ATR, Bollinger Bands, RSI, and MACD to offer a robust trend detection system, suitable for enhancing trading bias and having a more robust decision-making strategy.
Using this indicator alongside a disciplined approach, traders can gain insights into market direction and momentum to refine entries and exits. Remember, no single indicator guarantees success; it’s best used with sound risk management and additional analysis.
Sentient FLDThe Sentient FLD indicator expands upon the Future Line of Demarcation discovered by JM Hurst in the 1970's. The Future Line of Demarcation (FLD) is a line which is plotted on a time-based chart after performing a cycle analysis. It is plotted to extend beyond the right hand edge of the chart by half a cycle wavelength.
As price action unfolds, price interacts with the FLD line, either by crossing over the line, or by finding support or resistance at the line. Price interacts with the FLD in a reliable sequence of 8 interactions which are labelled using the letters A - H.
This sequence provides the trader with trading opportunities:
A and E category interactions involve price crossing over the FLD line, for a long trading opportunity.
D and F category interactions involve price crossing below the FLD line, for a short trading opportunity.
B and C category interactions occur where price finds support at the FLD, another long trading opportunity.
G and H category interactions occur where price finds resistance at the FLD, another short trading opportunity.
The Sentient FLD indicator plots three FLD lines, for three primary cycles on your time-based charts:
The Signal cycle, which is used to generate trading signals on the basis of the sequence of interactions between price and the FLD.
The Mid cycle, which is used for confirmation of the signals from the signal cycle FLD.
The Sequence cycle which is the cycle over which the entire A - H sequence of interactions plays out.
In addition to plotting the three FLD lines, the Sentient FLD indicator performs a cycle analysis and identifies the positions of the troughs of five cycles on your chart (Signal, Mid, Sequence cycles and two longer cycles for determining the underlying trend). The results of this analysis are plotted using Hurst's original Diamond notation, by which the troughs of the cycles are marked on your chart using diamonds.
The Sentient FLD also identifies the interactions between price and each one of the three FLDs plotted on your chart, and those interactions are labelled so that you can keep track of the unfolding A - H sequence.
Because the Sentient FLD is able to identify the sequence of interactions, it is also able to identify the next expected interaction between price and the FLD. This enables you to anticipate levels of support or resistance, or acceleration levels where price would be expected to cross through the FLD.
When price crosses an FLD, a target for the price move is generated. When price reaches that target it is an indication that the cycle influencing price to move up or down has completed that action and is about to turn around.
The benefits of using the Sentient FLD on your charts are:
The cycle analysis shown with diamonds marking the troughs of the cycles enables you to anticipate the timing of market turns (troughs and peaks in the price), because of the fact that cycles, by definition, repeat with some regularity.
The results of the cycle analysis are also displayed on your chart in a table, and enable you to understand at a glance what the current mode of each cycle is, whether bullish, bearish or neutral.
The identification of the sequence of interactions between price and the FLD enables you to anticipate the next interaction, and thereby expect support or resistance at the levels of the FLD lines, which provide dynamic levels of S&R only visible to the FLD trader.
When the next expected interaction between price and the FLD is an acceleration point (price is expected to cross over the FLD), that level can be used as a signal for entry into a trade.
Similarly when the next expected interaction between price and the FLD is either support or resistance, that level can be used as a signal for entry into a trade when price reacts as expected, finding support or resistance.
The targets that are generated as a result of price crossing the FLD represent cycle exhaustion levels and times, and can be used as take profit exits, or as levels after which stops should be tightened.
The indicator calculates targets for longer timeframes, and displays them on your chart providing useful context for the influence of longer cycles without needing to change timeframe.
The Sentient FLD indicator works on all time-based charts from 10 seconds up to monthly. Cycle analysis and the FLD approach both work on all actively traded instruments, including forex, stocks, indices, commodities, metals and crypto.
Full use and application of the indicator is explained in detail in a video tutorial course comprising 35+ videos over 8 hours of instruction.
We also have a friendly support team available to answer your questions and help in your application of the indicator.
Advance RSI Renko CalculationRSI based BUY and SELL on Renko Chart, only works good on renko chart, choose block size wisely for better results.
Brono MacroThis indicator, developed by someone (satz) helps identify macro market trends and potential reversal points by aligning with Institutional Order Flow. It provides visual markers for key timeframes and allows traders to better time entries and exits based on larger market movements. Perfect for traders using ICT (Inner Circle Trader) concepts, it highlights critical time periods on the chart, enabling a strategic approach to trading major market trends.
AstroTrading_OrderBlocksThe AstroTrading Order Blocks indicator is a tool that helps identify potential support and resistance levels by establishing relationships between price action and candle data. This indicator uses the open, close, high and low values of past candles to analyze their interaction with current candles. Users can add this indicator to their charts to better understand market behavior.
Key Features:
Candle Information Analysis:
The indicator detects whether the previous candle was green or red.
The open, close, high and low levels of past candles are analyzed and compared to the current candle.
Conditions:
Red Line Condition: If the previous candle is green, the high of the current candle is between the open and close of the previous candle and the current candle is red, a red line is formed.
Green Line Condition: If the previous candle was red, the low of the current candle is between the open and close of the previous candle, and the current candle is green, a green line is formed.
Visual Expressions on the Chart:
When the red line condition is triggered, red lines and the “🐻Bear OB🐻” sign are displayed on the chart.
When the green line condition is triggered, green lines and the “🐂Bull OB🐂” sign are displayed on the chart.
Usage:
This indicator helps to identify support and resistance levels in technical analysis.
Traders can evaluate potential buying or selling opportunities by analyzing past price movements.
Warnings:
Users are advised to use the indicator with caution and conduct their own research.
The indicator should only be used to identify support and resistance levels and should not be used in conjunction with other technical analysis tools.
Summary of the Code:
This indicator is designed to work on the TradingView platform and performs the following functions:
Analyzes previous candle data and compares it with the current candle data.
Plots support and resistance levels on the chart according to the conditions.
It displays the relevant symbols with red and green lines.
Low Price VolatilityI highlighted periods of low price volatility in the Nikkei 225 futures trading.
It is Japan Standard Time (JST)
This script is designed to color-code periods in the Nikkei 225 futures market according to times when prices tend to be more volatile and times when they are less volatile. The testing period is from March 11, 2024, to November 1, 2024. It identifies periods and counts where price movement exceeded half of the ATR, and colors are applied based on this data. There are no calculations involved; it simply uses the results of the analysis to apply color.
