Averagedirectionalmovementindex — Indikator dan Strategi

ADX Forecast Colorful [DiFlip]ADX Forecast Colorful Introducing one of the most advanced ADX indicators available — a fully customizable analytical tool that integrates forward-looking forecasting capabilities. ADX Forecast Colorful is a scientific evolution of the classic ADX, designed to anticipate future trend strength using linear regression. Instead of merely reacting to historical data, this indicator projects the future behavior of the ADX, giving traders a strategic edge in trend analysis. ⯁ Real-Time ADX Forecasting For the first time, a public ADX indicator incorporates linear regression (least squares method) to forecast the future behavior of ADX. This breakthrough approach enables traders to anticipate trend strength changes based on historical momentum. By applying linear regression to the ADX, the indicator plots a projected trendline n periods ahead — helping users make more accurate and timely trading decisions. ⯁ Highly Customizable The indicator adapts seamlessly to any trading style. It offers a total of 26 long entry conditions and 26 short entry conditions, making it one of the most configurable ADX tools on TradingView. Each condition is fully adjustable, enabling the creation of statistical, quantitative, and automated strategies. You maintain full control over the signals to align perfectly with your system. ⯁ Innovative and Science-Based This is the first public ADX indicator to apply least-squares predictive modeling to ADX dynamics. Technically, it embeds machine learning logic into a traditional trend-strength indicator. Using linear regression as a predictive engine adds powerful statistical rigor to the ADX, turning it into an intelligent, forward-looking signal generator. ⯁ Scientific Foundation: Linear Regression Linear regression is a fundamental method in statistics and machine learning used to model the relationship between a dependent variable y and one or more independent variables x. The basic formula for simple linear regression is: y = β₀ + β₁x + ε Where: y = predicted value (e.g., future ADX) x = explanatory variable (e.g., bar index or time) β₀ = intercept β₁ = slope (rate of change) ε = random error term The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the ADX projection based on recent trends. ⯁ Least Squares Estimation To minimize the error, the regression coefficients are calculated as: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: Σ = summation x̄ and ȳ = means of x and y i ranges from 1 to n (number of data points) These formulas provide the best linear unbiased estimator under Gauss-Markov conditions — assuming constant variance and linearity. ⯁ Linear Regression in Machine Learning Linear regression is a foundational algorithm in supervised learning. Its power in producing quantitative predictions makes it essential in AI systems, predictive analytics, time-series forecasting, and automated trading. Applying it to the ADX essentially places an intelligent forecasting engine inside a classic trend tool. ⯁ Visual Interpretation Imagine an ADX time series like this: Time → ADX → The regression line smooths these values and projects them n periods forward, creating a predictive trajectory. This forecasted ADX line can intersect with the actual ADX, offering smarter buy and sell signals. ⯁ Summary of Scientific Concepts Linear Regression: Models variable relationships with a straight line. Least Squares: Minimizes prediction errors for best fit. Time-Series Forecasting: Predicts future values using historical data. Supervised Learning: Trains models to predict outcomes from inputs. Statistical Smoothing: Reduces noise and highlights underlying trends. ⯁ Why This Indicator Is Revolutionary Scientifically grounded: Based on rigorous statistical theory. Unprecedented: First public ADX using least-squares forecast modeling. Smart: Uses machine learning logic. Forward-Looking: Generates predictive, not just reactive, signals. Customizable: Flexible for any strategy or timeframe. ⯁ Conclusion By merging ADX and linear regression, this indicator enables traders to predict market momentum rather than merely follow it. ADX Forecast Colorful is not just another indicator — it’s a scientific leap forward in technical analysis. With 26 fully configurable entry conditions and smart forecasting, this open-source tool is built for creating cutting-edge quantitative strategies. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What is the ADX? The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down. The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength. ⯁ How to use the ADX? The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones: Strong Trend: When the ADX is above 25, indicating a strong trend. Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend. Neutral Zone: Between 20 and 25, where the trend strength is unclear. ⯁ Entry Conditions Each condition below is fully configurable and can be combined to build precise trading logic. 📈 BUY 🅰️ Signal Validity: The signal will remain valid for X bars . 🅰️ Signal Sequence: Configurable as AND or OR . 🅰️ +DI > -DI 🅰️ +DI < -DI 🅰️ +DI > ADX 🅰️ +DI < ADX 🅰️ -DI > ADX 🅰️ -DI < ADX 🅰️ ADX > Threshold 🅰️ ADX < Threshold 🅰️ +DI > Threshold 🅰️ +DI < Threshold 🅰️ -DI > Threshold 🅰️ -DI < Threshold 🅰️ +DI (Crossover) -DI 🅰️ +DI (Crossunder) -DI 🅰️ +DI (Crossover) ADX 🅰️ +DI (Crossunder) ADX 🅰️ +DI (Crossover) Threshold 🅰️ +DI (Crossunder) Threshold 🅰️ -DI (Crossover) ADX 🅰️ -DI (Crossunder) ADX 🅰️ -DI (Crossover) Threshold 🅰️ -DI (Crossunder) Threshold 🔮 +DI (Crossover) -DI Forecast 🔮 +DI (Crossunder) -DI Forecast 🔮 ADX (Crossover) +DI Forecast 🔮 ADX (Crossunder) +DI Forecast 📉 SELL 🅰️ Signal Validity: The signal will remain valid for X bars . 🅰️ Signal Sequence: Configurable as AND or OR . 🅰️ +DI > -DI 🅰️ +DI < -DI 🅰️ +DI > ADX 🅰️ +DI < ADX 🅰️ -DI > ADX 🅰️ -DI < ADX 🅰️ ADX > Threshold 🅰️ ADX < Threshold 🅰️ +DI > Threshold 🅰️ +DI < Threshold 🅰️ -DI > Threshold 🅰️ -DI < Threshold 🅰️ +DI (Crossover) -DI 🅰️ +DI (Crossunder) -DI 🅰️ +DI (Crossover) ADX 🅰️ +DI (Crossunder) ADX 🅰️ +DI (Crossover) Threshold 🅰️ +DI (Crossunder) Threshold 🅰️ -DI (Crossover) ADX 🅰️ -DI (Crossunder) ADX 🅰️ -DI (Crossover) Threshold 🅰️ -DI (Crossunder) Threshold 🔮 +DI (Crossover) -DI Forecast 🔮 +DI (Crossunder) -DI Forecast 🔮 ADX (Crossover) +DI Forecast 🔮 ADX (Crossunder) +DI Forecast 🤖 Automation All BUY and SELL conditions are compatible with TradingView alerts, making them ideal for fully or semi-automated systems. ⯁ Unique Features Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill" Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill"

ADX Momentum Shaded Candles Description: The "ADX Momentum Shaded Candles" indicator (ADXMSC) is an overlay indicator that enhances candlestick charts by adding shading based on the momentum derived from the Average Directional Index (ADX). This indicator provides visual cues about the strength of bullish and bearish momentum by adjusting the transparency of the candlesticks. How it Works: The indicator utilizes the ADX indicator to calculate the values of +DI (Directional Indicator Plus) and -DI (Directional Indicator Minus) based on user-defined parameters. It then determines the transparency levels for the bullish and bearish candlesticks based on the calculated values of +DI and -DI. Higher values of +DI or -DI result in lower transparency levels, while lower values increase transparency. Transparency Calculation: The transparency of the bullish and bearish candlesticks is adjusted based on the values of +DI and -DI, which reflect the momentum of the price movement. Transparency is inversely proportional to these values, with higher values resulting in lower transparency. To calculate transparency, the indicator uses the formula 100 minus the value of +DI or -DI multiplied by 2. This ensures that higher values of +DI or -DI produce more opaque candlesticks. Usage: To effectively use the "ADX Momentum Shaded Candles" indicator (ADXMSC), follow these steps: 1. Apply the indicator to your chart by adding it from the available indicators. 2. Observe the candlesticks on the chart: - Bullish candlesticks are represented by the original bullish color with adjusted transparency. - Bearish candlesticks are represented by the original bearish color with adjusted transparency. 3. Analyze the transparency levels of the candlesticks to assess the strength of bullish and bearish momentum. Less transparent candlesticks indicate stronger momentum, while more transparent ones suggest weaker momentum. 4. Combine the visual information from the shaded candlesticks with other technical analysis tools, such as support and resistance levels, trend lines, or oscillators, to confirm potential trade opportunities. 5. Customize the indicator's parameters, such as the ADX length and smoothing, to suit your trading preferences. 6. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.

ADX Divergence Indicator Description: The ADX Divergence Indicator (ADXDI) is a technical analysis tool designed to identify potential bullish and bearish signals based on the Average Directional Index (ADX), the Positive Directional Indicator (+DI), and the Negative Directional Indicator (-DI) lines. This overlay indicator plots circles on the chart to highlight these signals. How it Works: The ADXDI calculates the ADX, +DI, and -DI values using user-defined parameters. It then evaluates specific conditions to determine potential bullish and bearish signals. The indicator considers rising and falling trends of the +DI and -DI lines, as well as changes in the ADX values. Additionally, it detects a bounce condition when the current ADX is less than the previous ADX value and that ADX value is higher than the one previous to it. Usage: To effectively utilize the ADX Divergence Indicator, follow these steps: 1. Apply the ADX Divergence Indicator to your chart by adding it from the available indicators. 2. Observe the circles plotted on the chart: - Bullish circles (green by default) indicate potential bullish signals. - Bearish circles (red by default) indicate potential bearish signals. 4. Interpret the signals provided by the indicator: - A bullish signal occurs when the +DI line rises and the -DI line falls. - A bearish signal occurs when the -DI line rises and the +DI line falls. - The presence of a bounce condition (ADX < ADX and ADX > ADX) further strengthens the signal. 5. Combine the signals from the ADX Signals indicator with other technical analysis tools, such as support and resistance levels, trend lines, or candlestick patterns, to confirm potential trade setups. 6. Customize the indicator's parameters, such as the lengths of the DI and ADX calculations or the colors of the plotted circles, to suit your trading preferences. 7. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.

Ichimoku Cloud and ADX with Trailing Stop Loss (by Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future. The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals. The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in. The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line. The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up. The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down. DMI is simple to interpret. When +DI > - DI, it means the price is trending up. On the other hand, when -DI > +DI , the trend is weak or moving on the downside. The ADX does not give an indication about the direction but about the strength of the trend. Typically values of ADX above 25 mean that the trend is steeply moving up or down, based on the -DI and +D positioning. This script aims to capture swings in the DMI, and thus, in the trend of the asset, using a contrarian approach. Trading on high values of ADX, the strategy tries to spot extremely oversold and overbought conditions. Values of ADX above 45 may suggest that the trend has overextended and is may be about to reverse. This strategy combines the Ichimoku Cloud with the ADX indicator to better enter trades. Long orders are placed when these basic signals are triggered. Long Position: Tenkan-Sen is above the Kijun-Sen Chikou-Span is above the close of 26 bars ago Close is above the Kumo Cloud MACD line crosses over the signal line -DI is greater than +DI ADX is greater than 45 Close Position: 3% increase trailing 3% decrease trailing The script is backtested from 1 January 2018 and provides good returns. The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance. This script also works well on MATIC (1d timeframe), ETH (1d timeframe), and SOL (1d timeframe).

VHF Adaptive ADXm [Loxx]VHF Adaptive ADXm is a variation of the ADX DI indicator with adaptive filtering using a vertical horizontal filter. What is ADXm? Unlike the traditional ADX indicator, where the ADX itself is plotted in absolute units and detection of the trend direction is hindered, this indicator clearly displays the positive and negative ADX half-waves (displayed as colored on the chart). And the DI+/- signals are displayed as their difference (gray). The method of using this indicator is the same as the traditional one. In addition, it displays the levels (dashed), above which the market is considered to be in a trend state. This level is usually set to approximately 20-25 percents--somewhat depends on the time frame it is used on. What is VHF Adaptive Cycle? Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length. Included: Bar coloring Alerts Signal types: zero-line crosses, level crosses, or signal crosses

ADX +- Di This Adx +-Di is just a complete version of what the ADX is supposed to signal. So you have: 15 (contraction), 20 (threshold), 30 (expansion), 40 (resistance) levels. Below 20 the price is not trending Above 30 the price is trending Below 15 price has been in contraction for too long Between 20 and 30 price is in a "transition zone". I finally added a "Resistance" level (40), which has to be adapted to best represent the historical levels where price usually encounters resistance, and where the price can be declared "overtrending", which means a return to lower levels is likely to happen. I've chosen mild colors, and set the Adx Color to White, because I use black background, you can easily change that. Enjoy -Maurice