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
No Trade Zone Indicator [CHE]No Trade Zone Indicator
The "No Trade Zone Indicator " is a powerful tool designed to help traders identify periods when the market may not present favorable trading opportunities. By analyzing the percentage change in the 20-period Simple Moving Average (SMA20) relative to a dynamically adjusted threshold based on market volatility, this indicator highlights times when it's prudent to stay out of the market.
Why Knowing When Not to Trade Is Important
Understanding when not to trade is just as crucial as knowing when to enter or exit a position. Trading during periods of low volatility or uncertain market direction can lead to unnecessary risks and potential losses. By recognizing these "No Trade Zones," you can:
- Avoid Low-Probability Trades: Reduce the chances of entering trades with unfavorable risk-to-reward ratios.
- Preserve Capital: Protect your investment from unpredictable market movements.
- Enhance Focus: Concentrate on high-quality trading opportunities that align with your strategy.
How the Indicator Works
- SMA20 Calculation: Computes the 20-period Simple Moving Average of closing prices to identify the market's short-term trend.
- ATR Measurement: Calculates the Average True Range (ATR) over a user-defined period (default is 14) to assess market volatility.
- Dynamic Threshold: Determines an adjusted threshold by multiplying the ATR percentage by a Threshold Adjustment Factor (default is 0.05).
- Trend Analysis: Compares the percentage change of the SMA20 against the adjusted threshold to evaluate market momentum.
- Status Identification:
- Long: Indicates a rising SMA20 above the threshold—suggesting a potential upward trend.
- Short: Indicates a falling SMA20 above the threshold—suggesting a potential downward trend.
- No Trade: Signals when the SMA20 change is below the threshold, marking a period of low volatility or indecision.
Features
- Customizable Settings: Adjust the ATR period and Threshold Adjustment Factor to suit different trading styles and market conditions.
- Visual Indicators: Colored columns represent market status—green for "Long," red for "Short," and gray for "No Trade."
- On-Chart Table: An optional table displays the current market status directly on your chart for quick reference.
- Alerts: Set up alerts to receive notifications when the market enters a "No Trade Zone," helping you stay informed without constant monitoring.
How to Use the Indicator
1. Add to Chart: Apply the "No Trade Zone Indicator " to your preferred trading chart on TradingView.
2. Configure Settings: Customize the ATR period and Threshold Adjustment Factor based on your analysis and risk tolerance.
3. Interpret Signals:
- Green Columns: Consider looking for buying opportunities as the market shows upward momentum.
- Red Columns: Consider looking for selling opportunities as the market shows downward momentum.
- Gray Columns: Refrain from trading as the market lacks clear direction.
4. Monitor Alerts: Use the alert feature to get notified when the market status changes, allowing you to make timely decisions.
Conclusion
Incorporating the "No Trade Zone Indicator " into your trading toolkit can enhance your decision-making process by clearly indicating when the market may not be conducive to trading. By focusing on periods with favorable conditions and avoiding low-volatility times, you can improve your trading performance and achieve better results over the long term.
*Trade wisely, and remember—the best trade can sometimes be no trade at all.*
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
best regards
Chervolino
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.
Auto HTF atrautohtf atr helps to idenify cycles and swings with indicaion of strong demand and need to identify the trend with the fundamentals posiive cashflow
Enhanced Market Analyzer with Adaptive Cognitive LearningThe "Enhanced Market Analyzer with Advanced Features and Adaptive Cognitive Learning" is an advanced, multi-dimensional trading indicator that leverages sophisticated algorithms to analyze market trends and generate predictive trading signals. This indicator is designed to merge traditional technical analysis with modern machine learning techniques, incorporating features such as adaptive learning, Monte Carlo simulations, and probabilistic modeling. It is ideal for traders who seek deeper market insights, adaptive strategies, and reliable buy/sell signals.
Key Features:
Adaptive Cognitive Learning:
Utilizes Monte Carlo simulations, reinforcement learning, and memory feedback to adapt to changing market conditions.
Adjusts the weighting and learning rate of signals dynamically to optimize predictions based on historical and real-time data.
Hybrid Technical Indicators:
Custom RSI Calculation: An RSI that adapts its length based on recursive learning and error adjustments, making it responsive to varying market conditions.
VIDYA with CMO Smoothing: An advanced moving average that incorporates Chander Momentum Oscillator for adaptive smoothing.
Hamming Windowed VWMA: A volume-weighted moving average that applies a Hamming window for smoother calculations.
FRAMA: A fractal adaptive moving average that responds dynamically to price movements.
Advanced Statistical Analysis:
Skewness and Kurtosis: Provides insights into the distribution and potential risk of market trends.
Z-Score Calculations: Identifies extreme market conditions and adjusts trading thresholds dynamically.
Probabilistic Monte Carlo Simulation:
Runs thousands of simulations to assess potential price movements based on momentum, volatility, and volume factors.
Integrates the results into a probabilistic signal that informs trading decisions.
Feature Extraction:
Calculates a variety of market metrics, including price change, momentum, volatility, volume change, and ATR.
Normalizes and adapts these features for use in machine learning algorithms, enhancing signal accuracy.
Ensemble Learning:
Combines signals from different technical indicators, such as RSI, MACD, Bollinger Bands, Stochastic Oscillator, and statistical features.
Weights each signal based on cumulative performance and learning feedback to create a robust ensemble signal.
Recursive Memory and Feedback:
Stores and averages past RSI calculations in a memory array to provide historical context and improve future predictions.
Adaptive memory factor adjusts the influence of past data based on current market conditions.
Multi-Factor Dynamic Length Calculation:
Determines the length of moving averages based on volume, volatility, momentum, and rate of change (ROC).
Adapts to various market conditions, ensuring that the indicator is responsive to both high and low volatility environments.
Adaptive Learning Rate:
The learning rate can be adjusted based on market volatility, allowing the system to adapt its speed of learning and sensitivity to changes.
Enhances the system's ability to react to different market regimes.
Monte Carlo Simulation Engine:
Simulates thousands of random outcomes to model potential future price movements.
Weights and aggregates these simulations to produce a final probabilistic signal, providing a comprehensive risk assessment.
RSI with Dynamic Adjustments:
The initial RSI length is adjusted recursively based on calculated errors between true RSI and predicted RSI.
The adaptive RSI calculation ensures that the indicator remains effective across various market phases.
Hybrid Moving Averages:
Short-Term and Long-Term Averages: Combines FRAMA, VIDYA, and Hamming VWMA with specific weights for a unique hybrid moving average.
Weighted Gradient: Applies a color gradient to indicate trend strength and direction, improving visual clarity.
Signal Generation:
Generates buy and sell signals based on the ensemble model and multi-factor analysis.
Uses percentile-based thresholds to determine overbought and oversold conditions, factoring in historical data for context.
Optional settings to enable adaptation to volume and volatility, ensuring the indicator remains effective under different market conditions.
Monte Carlo and Learning Parameters:
Users can customize the number of Monte Carlo simulations, learning rate, memory factor, and reward decay for tailored performance.
Applications:
Scalping and Day Trading:
The fast response of the adaptive RSI and ensemble learning model makes this indicator suitable for short-term trading strategies.
Swing Trading:
The combination of long-term moving averages and probabilistic models provides reliable signals for medium-term trends.
Volatility Analysis:
The ATR, Bollinger Bands, and adaptive moving averages offer insights into market volatility, helping traders adjust their strategies accordingly.
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.
Highlight 9:15 AM to 3:30 PM ISTindian share market time. this time frame you can used with cryptotrading session, dow jones
Expanded Keltner Channel with Forecast The entire code aims to display market dynamics on the chart based on two indicators: the Keltner Channel and volume. This allows traders to identify potential reversal points (when the price touches the Keltner bands) and areas where there is increased market activity (changes in volume). With this information, traders can make more informed decisions about opening or closing positions.
The code generates forecasts based on the touches of the bands, and the yellow line acts as an additional volume indicator, suggesting important market changes.
trailing stpTHAICHUYENTOAN I WANT TO BE A MILIONARE\
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Enhanced Chaikin Money FlowEnhanced Chaikin Money Flow (CMF) with Normalized Distribution
The Enhanced Chaikin Money Flow (CMF) is a sophisticated version of Marc Chaikin's classic volume-weighted indicator that measures buying and selling pressure. This version incorporates statistical normalization and advanced smoothing techniques to provide more reliable signals.
Key Features
Normalized distribution (z-score) for better historical comparison
Multiple smoothing options (SMA, EMA, WMA, RMA) for noise reduction
Standard deviation bands (1σ and 2σ) to identify extreme readings
Adjustable parameters for customization
Alert system for extreme readings
Interpretation
Values represent standard deviations from the mean
Above 0: Indicates net buying pressure
Below 0: Indicates net selling pressure
Outside ±2σ bands: Suggests extreme market conditions
Crossovers of standard deviation bands may signal potential reversals
Technical Details
The indicator combines volume with price location within a bar to determine buying/selling pressure, then normalizes these values using a rolling z-score calculation. This normalization allows for better historical comparison and more reliable overbought/oversold signals.
Best used in conjunction with price action and other indicators for confirmation of potential market turns or trend strength.
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.
Accumulated Daily Liquidity By definition liquidity in trading is a measure of how easily and quickly an asset or security can be bought or sold without significantly impacting its price. Saying this is not to undermine any strategy but when you hear " the liquidity is at X" or see things like "liquidity swings" regardless of the effectiveness of those strategies have nothing to actually do with liquidity by its definition.
Liquidity is nothing more than volume and the impact it has on price movement.
So this dose just that. It looks at the intra-bar volume, the price movement and it evaluates and accumulates the liquidity over the course of the day.
There are high and low lines that I called expansion lines, if the liquidity breaks above or below those levels I consider that to be trending and a entry signal. If liquidity is within those levels I look for signals that still line up with the state of the liquidity I take a more price action based approach to my entries and exits.
Keltner Channel with Forecast It is recommended to use the 15-minute chart along with Heikin Ashi candles. The two blue lines represent the 15-minute Keltner Channel, while the green lines represent the 1-hour Keltner Channel. This setup provides a clearer view of both short-term and longer-term market trends, helping traders make more informed decisions based on the combined insights from the 15-minute and 1-hour timeframes.
The entire code aims to display market dynamics on the chart based on two indicators: the Keltner Channel and volume. This allows traders to identify potential reversal points (when the price touches the Keltner bands) and areas where there is increased market activity (changes in volume). With this information, traders can make more informed decisions about opening or closing positions.
The code generates forecasts based on the touches of the bands, and the yellow line acts as an additional volume indicator, suggesting important market changes.
Stablecoin Dominance Oscillator
The SDO is a normalized oscillator that tracks the relationship between stablecoin market capitalization (USDT + USDC + DAI) and total crypto market capitalization. It helps identify periods where stablecoins represent an unusually high or low portion of the total crypto market value.
Key components:
Main Signal (Blue Line):
Shows the normalized deviation of stablecoin dominance from its trend. Higher values indicate higher stablecoin dominance relative to history (which often corresponds with market bottoms/fear), while lower values indicate lower stablecoin dominance (often seen during strong bull markets/greed).
Dynamic Bands (Gray):
These adapt to market volatility, expanding during volatile periods and contracting during stable periods
Generally suggest temporary boundaries for the oscillator
Volatility Reference (Purple Line):
Shows the ratio between short-term and long-term volatility
Higher values indicate more volatile market conditions
Helps contextualize the reliability of the current signal
The indicator uses a 500-period lookback for baseline calculations and a 15-period Hull Moving Average for smoothing, making it responsive while filtering out noise. The final signal is normalized and volatility-adjusted to maintain consistent readings across different market regimes.
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.
