Empiece

Indicadores y estrategias

Custom AO with Open Difference**Custom AO with Open Difference Indicator** This indicator, *Custom AO with Open Difference*, is designed to help confirm trend direction based on the relationship between the daily open price and recent 4-hour open prices. It calculates the Awesome Oscillator (AO) based on the difference between the daily open price and the average of the previous six 4-hour open prices. This approach provides insight into whether the current open price is significantly diverging from recent short-term opens, which can indicate a trend shift or continuation. ### Technical Analysis and Features 1. **Trend Confirmation**: By comparing the daily open with the mean of six previous 4-hour open prices, this indicator helps identify trends. When the current daily open is below the average of recent opens, the AO value will plot as green, signaling potential upward momentum. Conversely, if the daily open is above the recent average, the histogram will plot red, suggesting possible downward momentum. 2. **Non-Repainting**: Since it relies on completed 4-hour and daily open prices, this indicator does not repaint, ensuring that all values remain fixed after the close of each period. This non-repainting feature makes it suitable for backtesting and reliable for trend confirmation without fear of historical changes. 3. **AO Mean Calculation**: The indicator calculates the average of six previous 4-hour open prices, providing a smoothed value to reduce short-term noise. This helps in identifying meaningful deviations, making the AO values a more stable basis for trend determination than using just the latest 4-hour or daily open. 4. **Histogram for Visual Clarity**: The indicator is displayed as a histogram, making it easy to identify trend changes visually. If the AO bar turns green, it’s a signal that the 4-hour average is below the daily open, suggesting an uptrend or bullish momentum. Red bars indicate that the daily open is above the recent 4-hour averages, potentially signaling a downtrend or bearish momentum. ### Practical Application The *Custom AO with Open Difference* is a versatile tool for confirming the open price trend without needing complex oscillators or lagging indicators. Traders can use this tool to gauge the market sentiment by observing open price variations and use it as a foundation for decision-making in both short-term and daily timeframes. Its non-repainting nature adds reliability for traders using this indicator as part of a broader trading strategy.
Indicador de Pine Script™
por CocoPine
[TT] Delta Based Support & Resistance Before Getting to the Indicator Concept, You need to understand What delta is. For simple yet accurate understanding lets say the difference between Buyers and sellers is called delta. In a given time frame like 15mins for example, if we have 100 buyers and 75 sellers, delta will be 25, positive number indicates the buyers are dominating that particular candle. The volume of this candle will be 175, where delta indicates who dominated by just showing 25. We are literally following the volume, or in simple words the directional volume. Now we all know that market is moved by Buyers and sellers and not by price alone. In that case why are we depending on indicators that are moved by close price which can be manipulated in real time. There is only one element in the market that cannot be manipulated and that is volume. We are using that Delta to determine our Direction and trend. Note : Please wait for the candle to close and Level to form and only then enter on a retest of the level. Usage of this Indicator. in the following pictures one can see this indicator on NSE:BANKNIFTY And NSE:NIFTY , India's most Liquidity IDX and accuracy of our indicator. Once the Buyers dominate the market after consolidation a support is formed and when sellers dominate a resistance is formed. NSE:NIFTY 5Mins Nifty50 1Hr NSE:BANKNIFTY 1Hr BANKNIFTY 5Min BANKNIFTY 5Min One can Use this in any Entity with volume like Commodities and Forex but do understand that forex have different exchange and different brokers and volume so be ware while working with such. following are the Forex and BTC and Gold BITSTAMP:BTCUSD 1Hr FXOPEN:XAUUSD 1Hr 4Hrs This will help You get confirmation for Many other strategies. Always remember one thing, don't search for the trade let the trade come to you. Trade only when you see a perfect confirmation. TRADE ENTRY Enter in a trade when the price gets back in to the level Look at the following Chart in any timeframe. For any Explanation you can contact me in Tradingview. Note: CVD Calculation taken from Tradingview
Indicador de Pine Script™
por TeamTaurus
2
ATAMOKU - Ichimoku-Based Independent Scoring System Name Origin of ATAMOKU: The name ATAMOKU combines "Ata" (which means "I existed" in Japanese and "ancestor or father" in Turkish, which is also my name) and "Moku," meaning "cloud" in Japanese. This name reflects a unique scoring system based on Ichimoku principles, designed to help traders analyze trends and identify entry and exit points more accurately. Scoring System Overview: ATAMOKU leverages key Ichimoku values, including the Conversion Line, Base Line, and Leading Spans A and B. By applying mathematical functions and formulas, these values are used to generate a comprehensive score that indicates market strength and trend direction. This scoring system works independently of the price position relative to the Ichimoku cloud, allowing traders to identify potential entry and exit points in any time frame. Signal and Smoothing Lines: The script includes signal and smoothed lines that display signals continuously and can be customized with different smoothing techniques such as SMA, EMA, and WMA. These lines visually highlight entry and exit points, adapting to the trader's individual strategy. Settings and Customization: ATAMOKU offers several customization options to suit various trading preferences: Scoring Method: The scoring system uses hierarchical comparisons of Ichimoku values, with configurable weights for each comparison. Smoothing Techniques: Users can choose from several smoothing methods (SMA, EMA, WMA) to adjust signal sensitivity, allowing traders to fine-tune the display according to their preferred trading style. Period Adjustments: Options for adjusting the period of the scoring and smoothing calculations are provided to accommodate different time frames and trading strategies. Display and Visualization: ATAMOKU presents the data using a histogram and line chart format, enabling traders to observe trends and potential entry and exit points quickly and clearly. Key Features: Flexibility Across Time Frames, usable on any time frame without restriction. Independent Cloud Position Scoring, Generates signals and identifies entry and exit points independently of the price position relative to the cloud. Multi-Dimensional Analysis, Analyzes various Ichimoku data points and uses mathematical functions to offer traders a comprehensive market view. Support and Contact: For further information, customization questions, or support, please feel free to reach out via Private Message on TradingView. If you have a Premium account, additional contact details can also be included in the Signature field below.
Indicador de Pine Script™
por ata_sabanci
Cloud [BRTLab]🔍 Overview BRTLab Cloud is a powerful indicator designed to provide traders with a precise view of market trends and potential reversal points by combining an adapted Cloud similar to Ichimoku with custom mathematical logic. This indicator not only highlights trend direction and support/resistance zones but also integrates a Trend Reversal Signal (based on BRTLab Wave Hunter logic) to identify possible turning points, as well as a custom RSI to help spot entry opportunities within the cloud. It’s an effective tool for assessing both current trends and potential reversal points, while factoring in market uncertainty. 🔑 Key Features & Parameters The BRTLab Cloud indicator operates similarly to the Ichimoku Cloud, but with an adapted trend-detection logic to provide more accurate signals. The primary methodology of the script is to determine the market trend using the Cloud, and then identify potential entry points based on signals derived from reversal points, overbought and oversold conditions using a custom RSI oscillator. To enhance the versatility of the indicator, several filtering components are integrated, allowing users to tailor the signals to their specific trading styles: Uncertainty Zones: The script features a unique uncertainty filter, which is visually represented by bars colored in orange on the chart. These zones highlight periods when the trend direction indicated by the Cloud might be changing, alerting the user to potential risks and advising caution before entering trades. Cloud Width Filtering: A cloud width filter helps eliminate signals during weak trends, ensuring that only well-formed trends are considered for trading, which reduces the likelihood of acting on unreliable signals. Trend Reversal Signal: The Trend Reversal Signal serves as a predictor for potential trend changes. It provides a signal marked with the symbol "↺" on the chart, indicating that a trend change is likely, and that the Cloud may soon shift direction. After this signal appears, continuing to trade with the current trend may be risky due to the potential reversal. Key adjustable parameters include: Cloud Timeframe: This setting allows the user to choose the timeframe for displaying the Cloud, either on the current timeframe or higher timeframes. Higher timeframes provide more stable and reliable trend directions, making this setting essential for adapting the indicator to different strategies. Minimum Cloud Width (%): This parameter sets the minimum cloud width in percentage to filter out weak signals. By excluding signals on narrow clouds, the trader ensures that only significant trends are considered. Signal Sensitivity: This adjusts the strength of the buy and sell signals generated by the custom RSI oscillator. A higher sensitivity value leads to stronger signals, which are ideal for traders seeking more decisive entry points. Uncertainty Sensitivity: This setting helps define the "zone of uncertainty" on the chart, signaling potential reversals or areas where the trend may shift. A lower value makes the indicator more sensitive to uncertainty, potentially reducing the number of entries in risky conditions and filtering out unreliable signals. Potential Take-Profit: This optional feature allows the user to display potential exit points based on the indicator's trend analysis. It provides an additional layer of guidance for setting targets and managing exits. Among these settings, Cloud Timeframe, Signal Sensitivity, and Uncertainty Sensitivity offer the most flexibility, allowing users to adjust the script to match their preferred trading style: The parameters Cloud Timeframe, Signal Sensitivity, and Uncertainty Sensitivity offer flexibility, with Cloud Timeframe providing stable trend direction from higher timeframes and Signal Sensitivity adjusting entry signal strength. The Uncertainty Sensitivity parameter filters high-risk areas, reducing potential entries by identifying trend ambiguity on the chart. ⚙️ Signals & Logic The BRTLab Cloud indicator generates buy and sell signals based on a combination of cloud settings, custom RSI values, and uncertainty filters. The signal logic is designed to identify clear and reliable entry points, ensuring the trader can act with confidence. Here's how the signals work: Long Signals (Buy): When the cloud is colored blue (indicating an uptrend), the custom RSI indicates a potential reversal within the cloud, and the uncertainty filter does not signal a risk zone, the indicator generates a buy signal. Additionally, the cloud width must meet the minimum percentage set in the "Minimum Cloud Width (%)" setting, which helps to exclude weak signals from narrow clouds, ensuring only strong trends are considered. Short Signals (Sell): When the cloud is colored red (indicating a downtrend), the custom RSI signals a potential reversal inside the cloud, and the uncertainty filter does not indicate a risk zone, the indicator generates a sell signal. Similarly, the cloud width must match the minimum setting in "Minimum Cloud Width (%)", which filters out weak signals from narrow clouds. Uncertainty Filter: The uncertainty filter plays a key role in ensuring that signals are reliable. If the uncertainty filter detects a risk zone (highlighted by orange-colored bars on the chart), the signal is considered less reliable, and traders are advised to be cautious. This feature significantly reduces the chances of acting on false signals. Visualization: When a buy or sell signal is triggered, the indicator provides clear visual cues such as arrows or symbols on the chart to help the trader easily identify the signal. These visual cues are accompanied by the respective cloud color (blue for uptrend, red for downtrend), making it easy for traders to interpret the market direction at a glance. 🌟 Why it's Unique The BRTLab Cloud indicator is based on a cloud system similar to the Ichimoku Cloud, but with several unique enhancements that significantly improve trend analysis and reversal detection: Combination of Ichimoku Cloud and Trend Reversal Detection: The indicator incorporates a modified mathematical logic for more accurate detection of trend reversal points. This enhanced logic makes it more effective at spotting reversals compared to traditional methods. Additionally, the indicator provides a clear display of trends from higher timeframes without repainting, allowing traders to rely on more stable and reliable trend data, which is particularly useful for multi-timeframe analysis. Unique Cloud Width Filtering: The "Minimum Cloud Width (%)" setting ensures that only strong trends trigger buy or sell signals, filtering out weak signals from narrow clouds. A wider cloud indicates a more established and reliable trend, providing further confidence in the trade direction. Custom RSI Signal Sensitivity: The custom RSI has been optimized for more accurate entry and exit points across different trend phases. The "Signal Sensitivity" setting allows traders to adjust the indicator based on current market conditions, making it adaptable to both volatile and stable market environments. This helps to identify trend reversals with greater precision. Enhanced Visualization: The indicator offers flexible visualization options, including gradient cloud styles and extremum zones, which aid in confirming key levels. These features enhance the trader’s ability to interpret market conditions and make informed decisions about entry and exit points. 🔶 Application of the Indicator Example Usage: Trading with BRTLab Cloud involves taking trend signals within the cloud. Long and short signals occur when the price reaches significant levels in the cloud, filtered by "Signal Sensitivity," "Uncertainty Sensitivity," and "Minimum Cloud Width (%)" settings. These features allow traders to determine optimal entry and exit points by signaling potential reversals while factoring in market uncertainty. ✅ Conclusion BRTLab Cloud is a versatile and advanced tool for trend and reversal analysis, blending Ichimoku-style cloud methodology, Trend Reversal Signals (based on BRTLab Wave Hunter logic), and a custom RSI to deliver accurate entry and exit points. This indicator suits both short- and long-term trading strategies, providing precise signals that help minimize risk, particularly in uncertain market conditions. ⚠️ Risk Disclaimer Trading involves significant risk, and most day traders experience losses. All content, tools, scripts, articles, and educational materials provided by BRTLab are solely for informational and educational purposes. Past performance does not guarantee future results.
Indicador de Pine Script™
por BRTLab
1
Systematic Investment Tracker with Enhanced Features DCATürkçe Açıklama: Bu TradingView Pine Script kodu, belirlenen tarih aralığında iki farklı yatırım stratejisi uygulayarak yatırım performansını analiz etmeyi sağlar. Kullanıcı, "Sürekli Alım" ve "Düştükçe Alım" stratejileri arasında bir karşılaştırma yapabilir. Her stratejide, toplam harcama, elde edilen miktar, ortalama maliyet ve kâr yüzdesi hesaplanır. Kod ayrıca dinamik alım miktarını ayarlama ve grafiksel işaretleyiciler ekleme özelliklerine sahiptir. Performans karşılaştırması için grafik üzerinde bilgi etiketi ve bir tablo sunulur. İki dil arasında geçiş yapma (Türkçe/İngilizce) seçeneği de mevcuttur. English Description: This TradingView Pine Script code enables users to analyze investment performance by applying two different investment strategies within a specified date range. Users can compare between "Systematic Purchase" and "Purchase on Decline" strategies. For each strategy, total expenditure, quantity acquired, average cost, and profit percentage are calculated. The script includes options for dynamic purchase adjustment and graphical markers. A performance comparison is presented through an info label and a table on the chart. Additionally, there is an option to switch between English and Turkish languages.
Indicador de Pine Script™
por markoramius
Pivot Points (Standard, Woodie, Camarilla, Fibonacci)Pivot Points is a technical indicator that is used to determine the levels at which price may face support or resistance. The Pivot Points indicator consists of a pivot point (PP) level and several support (S) and resistance (R) levels. Calculation PP, resistance and support values are calculated in different ways, depending on the type of the indicator, specified by the Type field in indicator inputs. To calculate PP and support/resistance levels, the values OPENcurr, OPENprev, HIGHprev, LOWprev, CLOSEprev are used, which are the values of the current open and previous open, high, low and close, respectively, on the indicator resolution. The indicator resolution is set by the input of the Pivots Timeframe. If the Pivots Timeframe is set to AUTO (the default value), then the increased resolution is determined by the following algorithm: for intraday resolutions up to and including 15 min, DAY (1D) is used for intraday resolutions more than 15 min, WEEK (1W) is used for daily resolutions MONTH is used (1M) for weekly and monthly resolutions, 12-MONTH (12M) is used
Indicador de Pine Script™
por InvoTrading
Simplest Strategy Crossover with Labels Buy/Sell to $1000This Pine Script code, titled Custom Moving Average Crossover with Labels, is a trading indicator developed for the TradingView platform. It enables traders to visualize potential buy and sell signals based on the crossover of two moving averages, offering customizable settings for enhanced flexibility. Here’s a breakdown of its key features: Key Features User-Defined Moving Averages: The script includes two moving averages: a fast and a slow one. Users can adjust the periods of each average (default values are 10 for the fast MA and 100 for the slow MA), allowing them to adapt the indicator to various market conditions and trading styles. Time-Restricted Signal Validity: The indicator includes settings for active trading hours, defined in UTC time. Users specify a start and end hour, making it possible to limit buy and sell signals to certain times of the day. This is especially useful for traders who wish to avoid signals outside their preferred trading hours or during periods of high volatility. Crossover-Based Buy and Sell Signals: Buy Signal: A "Buy" label is triggered and displayed when the fast moving average crosses above the slow moving average within the user-defined trading hours, signifying a potential upward trend. Sell Signal: A "Sell" label is generated when the fast moving average crosses below the slow moving average, indicating a possible downtrend. Labels are displayed on the chart, color-coded for easy identification: green for buys and red for sells. Profit Target Labels (+100 Points): After each buy or sell entry, the indicator tracks price movements. When the price increases by 100 points from a buy entry or decreases by 100 points from a sell entry, a +100 label appears to signify a 100-point movement. These labels serve as checkpoints to help traders assess performance and decide on further actions, such as taking profits or adjusting stop losses. Visual Customization: The moving averages are color-coded (blue for fast MA, red for slow MA) for easy distinction, and label text appears in white to enhance visibility against various chart backgrounds. Benefits for Traders Efficient Trade Identification: The moving average crossover combined with time-based restrictions allows traders to capture key market trends within chosen hours. Clear Profit Checkpoints: The +100 point label alerts traders to significant price movement, useful for those looking for set profit targets. Flexibility: Customizable inputs give users control over the indicator’s behavior, making it suitable for both day trading and swing trading. This indicator is designed for traders looking to enhance their technical analysis with reliable, user-defined buy/sell signals, helping to increase confidence and improve trade timing based on objective data.
Indicador de Pine Script™
por TradeTrendsPro
Updated Volume SuperTrend AI (Expo)// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org // © Zeiierman //@version=5 indicator("Volume SuperTrend AI (Expo)", overlay=true) // ~~ ToolTips { t1="Number of nearest neighbors in KNN algorithm (k): Increase to consider more neighbors, providing a more balanced view but possibly smoothing out local patterns. Decrease for fewer neighbors to make the algorithm more responsive to recent changes. Number of data points to consider (n): Increase for more historical data, providing a broader context but possibly diluting recent trends. Decrease for less historical data to focus more on recent behavior." t2="Length of weighted moving average for price (KNN_PriceLen): Higher values create a smoother price line, influencing the KNN algorithm to be more stable but less sensitive to short-term price movements. Lower values enhance responsiveness in KNN predictions to recent price changes but may lead to more noise. Length of weighted moving average for SuperTrend (KNN_STLen): Higher values lead to a smoother SuperTrend line, affecting the KNN algorithm to emphasize long-term trends. Lower values make KNN predictions more sensitive to recent SuperTrend changes but may result in more volatility." t3="Length of the SuperTrend (len): Increase for a smoother trend line, ideal for identifying long-term trends but possibly ignoring short-term fluctuations. Decrease for more responsiveness to recent changes but risk of more false signals. Multiplier for ATR in SuperTrend calculation (factor): Increase for wider bands, capturing larger price movements but possibly missing subtle changes. Decrease for narrower bands, more sensitive to small shifts but risk of more noise." t4="Type of moving average for SuperTrend calculation (maSrc): Choose based on desired characteristics. SMA is simple and clear, EMA emphasizes recent prices, WMA gives more weight to recent data, RMA is less sensitive to recent changes, and VWMA considers volume." t5="Color for bullish trend (upCol): Select to visually identify upward trends. Color for bearish trend (dnCol): Select to visually identify downward trends. Color for neutral trend (neCol): Select to visually identify neutral trends." //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Input settings for K and N values k = input.int(3, title = "Neighbors", minval=1, maxval=100,inline="AI", group="AI Settings") n_ = input.int(10, title ="Data", minval=1, maxval=100,inline="AI", group="AI Settings", tooltip=t1) n = math.max(k,n_) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Input settings for prediction values KNN_PriceLen = input.int(20, title="Price Trend", minval=2, maxval=500, step=10,inline="AITrend", group="AI Trend") KNN_STLen = input.int(100, title="Prediction Trend", minval=2, maxval=500, step=10, inline="AITrend", group="AI Trend", tooltip=t2) aisignals = input.bool(true,title="AI Trend Signals",inline="signal", group="AI Trend") Bullish_col = input.color(color.lime,"",inline="signal", group="AI Trend") Bearish_col = input.color(color.red,"",inline="signal", group="AI Trend") //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Define SuperTrend parameters len = input.int(10, "Length", minval=1,inline="SuperTrend", group="Super Trend Settings") factor = input.float(3.0,step=.1,inline="SuperTrend", group="Super Trend Settings", tooltip=t3) maSrc = input.string("WMA","Moving Average Source", ,inline="", group="Super Trend Settings", tooltip=t4) upCol = input.color(color.lime,"Bullish Color",inline="col", group="Super Trend Coloring") dnCol = input.color(color.red,"Bearish Color",inline="col", group="Super Trend Coloring") neCol = input.color(color.blue,"Neutral Color",inline="col", group="Super Trend Coloring", tooltip=t5) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Calculate the SuperTrend based on the user's choice vwma = switch maSrc "SMA" => ta.sma(close*volume, len) / ta.sma(volume, len) "EMA" => ta.ema(close*volume, len) / ta.ema(volume, len) "WMA" => ta.wma(close*volume, len) / ta.wma(volume, len) "RMA" => ta.rma(close*volume, len) / ta.rma(volume, len) "VWMA" => ta.vwma(close*volume, len) / ta.vwma(volume, len) atr = ta.atr(len) upperBand = vwma + factor * atr lowerBand = vwma - factor * atr prevLowerBand = nz(lowerBand ) prevUpperBand = nz(upperBand ) lowerBand := lowerBand > prevLowerBand or close < prevLowerBand ? lowerBand : prevLowerBand upperBand := upperBand < prevUpperBand or close > prevUpperBand ? upperBand : prevUpperBand int direction = na float superTrend = na prevSuperTrend = superTrend if na(atr ) direction := 1 else if prevSuperTrend == prevUpperBand direction := close > upperBand ? -1 : 1 else direction := close < lowerBand ? 1 : -1 superTrend := direction == -1 ? lowerBand : upperBand //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Collect data points and their corresponding labels price = ta.wma(close,KNN_PriceLen) sT = ta.wma(superTrend,KNN_STLen) data = array.new_float(n) labels = array.new_int(n) for i = 0 to n - 1 data.set(i, superTrend ) label_i = price > sT ? 1 : 0 labels.set(i, label_i) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Define a function to compute distance between two data points distance(x1, x2) => math.abs(x1 - x2) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Define the weighted k-nearest neighbors (KNN) function knn_weighted(data, labels, k, x) => n1 = data.size() distances = array.new_float(n1) indices = array.new_int(n1) // Compute distances from the current point to all other points for i = 0 to n1 - 1 x_i = data.get(i) dist = distance(x, x_i) distances.set(i, dist) indices.set(i, i) // Sort distances and corresponding indices in ascending order // Bubble sort method for i = 0 to n1 - 2 for j = 0 to n1 - i - 2 if distances.get(j) > distances.get(j + 1) tempDist = distances.get(j) distances.set(j, distances.get(j + 1)) distances.set(j + 1, tempDist) tempIndex = indices.get(j) indices.set(j, indices.get(j + 1)) indices.set(j + 1, tempIndex) // Compute weighted sum of labels of the k nearest neighbors weighted_sum = 0. total_weight = 0. for i = 0 to k - 1 index = indices.get(i) label_i = labels.get(index) weight_i = 1 / (distances.get(i) + 1e-6) weighted_sum += weight_i * label_i total_weight += weight_i weighted_sum / total_weight //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Classify the current data point current_superTrend = superTrend label_ = knn_weighted(data, labels, k, current_superTrend) //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Plot col = label_ == 1?upCol:label_ == 0?dnCol:neCol plot(current_superTrend, color=col, title="Volume Super Trend AI") upTrend = plot(superTrend==lowerBand?current_superTrend:na, title="Up Volume Super Trend AI", color=col, style=plot.style_linebr) Middle = plot((open + close) / 2, display=display.none, editable=false) downTrend = plot(superTrend==upperBand?current_superTrend:na, title="Down Volume Super Trend AI", color=col, style=plot.style_linebr) fill_col = color.new(col,90) fill(Middle, upTrend, fill_col, fillgaps=false,title="Up Volume Super Trend AI") fill(Middle, downTrend, fill_col, fillgaps=false, title="Down Volume Super Trend AI") //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~} // ~~ Ai Super Trend Signals Start_TrendUp = col==upCol and (col !=upCol or col ==neCol) and aisignals Start_TrendDn = col==dnCol and (col !=dnCol or col ==neCol) and aisignals // ~~ Add buy and sell signals plotshape(Start_TrendUp, title="Buy Signal", location=location.belowbar, color=Bullish_col, style=shape.labelup, text="BUY") plotshape(Start_TrendDn, title="Sell Signal", location=location.abovebar, color=Bearish_col, style=shape.labeldown, text="SELL")
Indicador de Pine Script™
por jfmarier
Adaptive ema Cloud v1 Trend & Trade Signals"adaptive ema cloud v1 trend & trade signals" is a comprehensive technical indicator aimed at assisting traders in identifying market trends, trade entry points, and potential take profit (tp) and stop-loss (sl) levels. this indicator combines adaptive exponential moving average (ema) clouds with standard deviation bands to create a visual trend and signal system, enabling users to better analyze price action. key features: adaptive ema cloud: calculates a dynamic ema-based cloud using a simple moving average (sma) line, with upper and lower deviation bands based on standard deviations. users can adjust the standard deviation multiplier to modify the cloud's width. trend direction detection: the indicator determines trend direction by comparing the close price to the ema cloud and signals bullish or bearish trends when the price crosses key levels. take profit (tp) and stop-loss (sl) points: adaptive tp and sl levels are calculated based on the deviation bands, providing users with suggested exit points when a trade is triggered. peak and valley detection: detects peaks and valleys in price, aiding traders in spotting potential support and resistance areas. gradient-based cloud fill: dynamically fills the cloud with a gradient color based on trend strength, helping users visually gauge trend intensity. trade tracking: tracks recent trades and records them in an internal memory, allowing users to view the last 20 trade outcomes, including whether tp or sl was hit. how to use: trend signals: look for green arrows (bullish trend) or red arrows (bearish trend) to identify potential entries based on trend crossovers. tp/sl management: tp and sl levels are automatically calculated and displayed, with alerts available to notify users when these levels are reached. adjustable settings: customize period length, standard deviation multiplier, and color preferences to match trading preferences and chart style. inputs- period: defines the look-back period for ema calculations. standard deviation multiplier: adjusts cloud thickness by setting the multiplier for tp and sl bands. gauge size: scales the gradient intensity for trend cloud visualization. up/down colors: allows users to set custom colors for bullish and bearish bars. alert conditions: this script has built-in alerts for trend changes, tp, and sl levels, providing users with automated notifications of important trading signals.
Indicador de Pine Script™
por hormuzdengineer
Universal Trend and Valuation System [QuantAlgo]Universal Trend and Valuation System 📊🧬 The Universal Trend and Valuation System by QuantAlgo is an advanced indicator designed to assess asset valuation and trends across various timeframes and asset classes. This system integrates multiple advanced statistical indicators and techniques with Z-score calculations to help traders and investors identify overbought/sell and oversold/buy signals. By evaluating valuation and trend strength together, this tool empowers users to make data-driven decisions, whether they aim to follow trends, accumulate long-term positions, or identify turning points in mean-reverting markets. 💫 Conceptual Foundation and Innovation The Universal Trend and Valuation System by QuantAlgo provides a unique framework for assessing market valuation and trend dynamics through a blend of Z-score analysis and trend-following algorithm. Unlike traditional indicators that only reflect price direction, this system incorporates multi-layered data to reveal the relative value of an asset, helping users determine whether it’s overvalued, undervalued, or approaching a trend reversal. By combining high quality trend-following tools, such as Dynamic Score Supertrend, DEMA RSI, and EWMA, it evaluates trend stability and momentum quality, while Z-scores of performance ratios like Sharpe, Sortino, and Omega standardize deviations from historical trends, enabling traders and investors to spot extreme conditions. This dual approach allows users to better identify accumulation (undervaluation) and distribution (overvaluation) phases, enhancing strategies like Dollar Cost Averaging (DCA) and overall timing for entries and exits. 📊 Technical Composition and Calculation The Universal Trend-Following Valuation System is composed of several trend-following and valuation indicators that create a dynamic dual scoring model: Risk-Adjusted Ratios (Sharpe, Sortino, Omega): These ratios assess trend quality by analyzing an asset’s risk-adjusted performance. Sharpe and Sortino provide insight into trend consistency and risk/reward, while Omega evaluates profitability potential, helping traders and investors assess how favorable a trend or an asset is relative to its associated risk. Dynamic Z-Scores: Z-scores are applied to various metrics like Price, RSI, and RoC, helping to identify statistical deviations from the mean, which indicate potential extremes in valuation. By combining these Z-scores, the system produces a cumulative score that highlights when an asset may be overbought or oversold. Aggregated Trend-Following Indicators: The model consolidates multiple high quality indicators to highlight probable trend shifts. This helps confirm the direction and strength of market moves, allowing users to spot reversals or entry points with greater clarity. 📈 Key Indicators and Features The Universal Trend and Valuation System combines various technical and statistical tools to deliver a well-rounded analysis of market trends and valuation: The indicator utilizes trend-following indicators like RSI with DEMA smoothing and Dynamic Score Supertrend to minimize market noise, providing clearer and more stable trend signals. Sharpe, Sortino, and Omega ratios are calculated to assess risk-adjusted performance and volatility, adding a layer of analysis for evaluating trend quality. Z-scores are applied to these ratios, as well as Price and Rate of Change (RoC), to detect deviations from historical trends, highlighting extreme valuation levels. The system also incorporates multi-layered visualization with gradient color coding to signal valuation states across different market conditions. These adaptive visual cues, combined with threshold-based alerts for overbought and oversold zones, help traders and investors track probable trend reversals or continuations and identify accumulation or distribution zones, adding reliability to both trend-following and mean-reversion strategies. ⚡️ Practical Applications and Examples ✅ Add the Indicator: Add the Universal Trend-Following Valuation System to your favourites and to your chart. 👀 Monitor Trend Shifts and Valuation Levels: Watch the average Z score, trend probability state and gradient colors to identify overbought and oversold conditions. During undervaluation, consider using a DCA strategy to gradually accumulate positions (buy), while overvaluation may signal distribution or profit-taking phases (sell). 🔔 Set Alerts: Configure alerts for significant trend or valuation changes, ensuring you can act on market movements promptly, even when you’re not actively monitoring the charts. 🌟 Summary and Usage Tips The Universal Trend and Valuation System by QuantAlgo is a highly adaptable tool, designed to support both trend-following and valuation analysis across different market environments. By combining valuation metrics with high quality trend-following indicators, it helps traders and investors identify the relative value of an asset based on historical norms, providing more reliable overbought/sell and oversold/buy signals. The tool’s flexibility across asset types and timeframes makes it ideal for both short-term trading and long-term investment strategies like DCA, allowing users to capture meaningful trends while minimizing noise.
Indicador de Pine Script™
por QuantAlgo
Madhan_HMT_Ultimate_StrategyThis indicator is a trend-following strategy designed to identify buy and sell signals based on price action relative to dynamic channels and smoothing mechanisms. It uses two separate sets of parameters that adjust to market conditions, with each set of parameters acting as an independent trend filter. The indicator creates arrows on the chart to signal potential trade entries, with these arrows appearing when the price crosses certain thresholds established by the indicator's internal calculation. The strategy can be customized with various parameters, including: Stop loss and take profit levels based on multiple options: ATR (Average True Range), fixed points, or percentage-based values. Trading mode options that allow the user to choose whether the strategy trades both long and short positions, or restricts trades to only one direction (long or short). The indicator visually represents the entry levels, stop loss, and take profit levels, with backgrounds filling to highlight potential risk and reward areas. By adjusting the parameters, traders can tailor the indicator to suit different market conditions and their risk tolerance.
Estrategia de Pine Script™
por MadhanaGopal_P
Probabilistic Trend Oscillator** MACD PLOTS ARE NOT PART OF THE INDICATOR IT IS FOR COMPARSION** The "Probabilistic Trend Oscillator" is a technical indicator designed to measure trend strength and direction by analyzing price behavior relative to a moving average over both long-term and short-term periods. This indicator incorporates several innovative features, including probabilistic trend detection, enhanced strength scaling, and percentile-based thresholds for identifying potential trend reversals. Key Components Inputs: The indicator allows users to customize several key parameters: EMA Length defines the period for the Exponential Moving Average (EMA), which serves as a baseline to classify trend direction. Long and Short Term Lengths provide customizable periods for analyzing trend strength over different timeframes. Signal Line Length is used to smooth the trend strength data, helping users spot more reliable trend signals. Extreme Value Lookback Length controls how far back to look when calculating percentile thresholds, which are used to identify overbought and oversold zones. Trend Classification: The indicator categorizes price behavior into four conditions: Green: Price closes above the open and is also above the EMA, suggesting a strong upward trend. Red: Price closes below the open but is above the EMA, indicating weaker upward pressure. Green1: Price closes above the open but remains below the EMA, representing weak upward movement. Red1: Price closes below the open and the EMA, signaling a strong downward trend. Trend Strength Calculation: The script calculates long-term and short-term trend values based on the frequency of these trend conditions, normalizing them to create probabilistic scores. It then measures the difference between the short-term and long-term trend values, creating a metric that reflects the intensity of the current trend. This comparison provides insight into whether the trend is strengthening or weakening. Enhanced Trend Strength: To emphasize significant movements, the trend strength metric is scaled by the average absolute price change (distance between close and open prices). This creates an "enhanced trend strength" value that highlights periods with high momentum. Users can toggle between two variations of trend strength: Absolute Trend Strength is a straightforward measure of the trend's force. Relative Trend Strength accounts for deviations between short term and long term values, focusing on how current price action differs from a long term behavior. Percentile-Based Thresholds: The indicator calculates percentile thresholds over the specified lookback period to mark extreme values: The 97th and 3rd percentiles act as overbought and oversold zones, respectively, indicating potential reversal points. Intermediate levels (75th and 25th percentiles) are added to give additional context for overbought or oversold conditions, creating a probabilistic range. Visualization: The selected trend strength value (either absolute or relative) is plotted in orange. Overbought (green) and oversold (red) percentiles are marked with dashed lines and filled in blue, highlighting potential reversal zones. The signal line—a smoothed EMA of the trend strength—is plotted in white, helping users to confirm trend changes. A gray horizontal line at zero acts as a baseline, further clarifying the strength of upward vs. downward trends. Summary This indicator provides a flexible, probabilistic approach to trend detection, allowing users to monitor trend strength with customizable thresholds and lookback periods. By combining percentile-based thresholds with enhanced trend strength scaling, it offers insights into market reversals and momentum shifts, making it a valuable tool for both trend-following and counter-trend trading strategies.
Indicador de Pine Script™
por federalTacos5392b
The Forexation: Super Trend SignalsOverview: The Forexation: Super Trend Signals (STS) indicator was crafted to enhance visualization of market trends by integrating multiple technical analysis tools and adding logic to them so they color bullish, bearish, counter trends, and cautious trends. By combining standard and higher-timeframe Supertrends with dynamic EMAs and VWAP, STS offers a multi-dimensional view of market dynamics. This synergy allows traders to: Assess Trend Strength and Alignment Identify Momentum Shifts and Reversals Gauge Market Sentiment through Volume-Weighted Pricing Filter Out Market Noise for Clearer Signals Key Features and Synergy: 1. Dual Supertrend Analysis: Standard Supertrend: Utilizes the Average True Range (ATR) and a multiplier factor to detect immediate market trends. Customizable ATR Length and Factor to adjust sensitivity to market volatility. Used as a guide to help follow the trend and identify where if price breaks through we can be reversing trend or entering a counter/cautious trend. Higher Time Frame (HTF) Supertrend: Integrates Supertrend data from a higher timeframe for a broader market perspective. Smoothing applied via an EMA to reduce lag and false signals. **Synergistic Effect: Trend Alignment: By analyzing both standard and HTF Supertrends, STS identifies when short-term trends align with long-term trends, increasing the reliability of trend signals. Dynamic Adjustments: Traders can adjust parameters to fine-tune the balance between responsiveness and stability. 2. Customized EMAs with Contextual Color-Coding: Fast and Slow EMAs: Customizable periods to match different trading strategies and timeframes. EMAs are used to identify momentum shifts and potential reversals through crossovers. Dynamic Color-Coding: EMA lines change color based on their relationship with each other, the Supertrends, and VWAP. Visual Interpretation: Bullish Alignment: Fast EMA above Slow EMA, both above Supertrend and VWAP, signals strong upward momentum. Bearish Alignment: Fast EMA below Slow EMA, both below Supertrend and VWAP, signals strong downward momentum. Caution Zones: Misalignment or crossovers indicate potential reversals or consolidation. **Synergistic Effect: Momentum Confirmation: EMA crossovers are validated against Supertrend directions, reducing false signals. Support and Resistance Zones: The area between EMAs acts as dynamic support/resistance, visualized through an optional fill. 3. VWAP Integration for Volume-Weighted Insights: VWAP Analysis: Calculates the average price weighted by volume, providing insights into institutional trading levels and market sentiment. **Synergistic Effect: Trend Validation: Confirms trend strength by analyzing whether price and EMAs are above or below VWAP. Counter-Trend Detection: Identifies potential pullbacks or reversals when price interacts with VWAP against the prevailing trend of the standard and higher time frame SuperTrend. 4. Composite Signal Generation: Color-Coded Market Conditions: Bullish Signals (Green): Strong upward trends with alignment across standard + HTF Supertrend, EMAs, and price above VWAP. Bearish Signals (Red): Strong downward trends with inverse alignment. Caution State (Orange): Potential market reversals or uncertainty when indicators are misaligned. (Example: price above VWAP but under HTF SuperTrend) Counter-Trend Conditions (Yellow): Signals possible pullbacks or consolidations when price or EMAs cross VWAP. (Example: Price is above VWAP & HTF SuperTrend but the EMAs and Standard SuperTrend are in a down trend) **Synergistic Effect: Enhanced Signal Accuracy: By requiring multiple confirmations across different indicators and timeframes, STS filters out noise and increases the probability of trends in the market. Timely Alerts: Alerts are generated when critical conditions are met, keeping traders informed of significant market movements. Underlying Concepts and Calculations: Supertrend Algorithm: Calculation: Supertrend is calculated using ATR to set a dynamic trailing stop that follows price movements. The indicator switches between bullish and bearish modes when price crosses the Supertrend line. Customization: ATR Length and Factor can be adjusted to make the Supertrend more or less sensitive to price changes. In STS: Both standard and HTF Supertrends are used, with the HTF providing longer-term trend context. Exponential Moving Averages (EMAs): Calculation: EMAs apply more weight to recent prices, making them more responsive than Simple Moving Averages (SMAs). Crossovers between Fast and Slow EMAs signal potential momentum shifts. Customization: Periods for Fast and Slow EMAs are user-defined to suit different trading styles. In STS: EMA behavior is analyzed in conjunction with Supertrend and VWAP to validate signals. Volume Weighted Average Price (VWAP): Calculation: VWAP accumulates total dollars traded (price times volume) divided by total volume over a specific period. Reflects the average price at which the instrument has traded throughout the day based on both price and volume. **In STS: VWAP serves as a dynamic support/resistance level. Interaction with VWAP can indicate shifts in market sentiment, especially when combined with other indicators. Justifying the Value of STS: Holistic Market Analysis: STS doesn't just merge indicators; it creates a cohesive system where each component validates and enhances the others. This integrated approach offers a more reliable analysis than using individual indicators in isolation. Customizable and Adaptive: Traders have control over key parameters, allowing STS to be tailored to different markets and trading styles. The ability to adjust sensitivity helps in adapting to varying market conditions. Enhanced Decision-Making: By providing clear visual cues and alerts, STS aids in quick interpretation of complex market data. The indicator helps in identifying high-probability trend opportunities and managing risk effectively with trailing SuperTrend guidance. Unique Signal Filtering: The combination of multiple confirmations reduces the likelihood of false trend signals. The use of higher timeframe data and volume-weighted analysis adds depth to trend assessment. How to Use STS Effectively: 1. Configuring Settings: Supertrend Settings: Adjust ATR Length and Factor to set the desired sensitivity. Select the Higher Time Frame for the HTF Supertrend to align with your trading horizon. Set the Smoothing Period for the EMA applied to the HTF Supertrend. EMA Settings: Define periods for Fast and Slow EMAs based on your strategy. Ensure the Fast EMA period is shorter than the Slow EMA for effective crossovers. Color and Display Settings: Customize colors for different market conditions to enhance visual clarity. Choose whether to display the HTF Supertrend, EMA lines, EMA fill, and VWAP. 2. Interpreting Signals: Bullish Scenario: Supertrends indicate an uptrend. Fast EMA crosses above Slow EMA, both trending upwards. Price and EMAs are above VWAP. Action: Consider long positions, using the standard Supertrend as a trailing stop. Bearish Scenario: Supertrends indicate a downtrend. Fast EMA crosses below Slow EMA, both trending downwards. Price and EMAs are below VWAP. Action: Consider short positions. using the standard Supertrend as a trailing stop Caution and Counter-Trend Signals: Misalignment between indicators or color changes to orange/yellow. Action: Exercise caution, tighten stops, or wait for clearer signals. 4. Setting Up Alerts: Access the Alerts menu. Configure alerts for: Supertrend Direction Changes EMA Crossovers Price Crossing VWAP Set alert actions and ensure they trigger on confirmed data by selecting "Once Per Bar Close." Example Trading Strategies: Trend Following: Use STS to identify strong trends where all indicators are aligned. Enter positions in the direction of the trend. Use Supertrend lines as dynamic stop-loss levels. Pullback Entries: Wait for price to pull back to the EMA fill area or VWAP in a prevailing trend. Look for bounce signals off these levels when supported by Supertrend direction. Counter-Trend Opportunities: Identify potential reversals when caution or counter-trend signals appear. Confirm with additional analysis or indicators before taking positions against the main trend. Disclaimer: This indicator is intended to aid in technical analysis and should be used as part of a comprehensive trading strategy. It does not guarantee profits and carries the risk of loss. Trading financial instruments involves significant risk; please consult with a qualified financial advisor before making any investment decisions. Past performance is not indicative of future results. Final Notes: The Forexation: Super Trend Signals (STS) indicator represents a thoughtfully engineered tool that brings together multiple technical elements to provide a more nuanced understanding of market behavior. By leveraging the strengths of Supertrend, EMAs, and VWAP in unison, STS aims to enhance trading precision and confidence in the trends the market creates but also guide risk management levels for managing a trade and stop loss areas. We are committed to continuous improvement and value user feedback. Please share your experiences and suggestions to help us refine the indicator further. Happy Trading!
Indicador de Pine Script™
por TheForexation
Depth Trend Indicator - RSIDepth Trend Indicator - RSI This indicator is designed to identify trends and gauge pullback strength by combining the power of RSI and moving averages with a depth-weighted calculation. The script was created by me, Nathan Farmer and is based on a multi-step process to determine trend strength and direction, adjusted by a "depth" factor for more accurate signal analysis. How It Works Trend Definition Using RSI: The RSI Moving Average ( rsiMa ) is calculated to assess the current trend, using customizable parameters for the RSI Period and MA Period . Trends are defined as follows: Uptrend : RSI MA > Critical RSI Value Downtrend : RSI MA < Critical RSI Value Pullback Depth Calculation: To measure pullback strength relative to the current trend, the indicator calculates a Depth Percentage . This is defined as the portion of the gap between the moving average and the price covered by a pullback. Depth-Weighted RSI Calculation: The Depth Percentage is then applied as a weighting factor on the RSI Moving Average , giving us a Weighted RSI line that adjusts to the depth of pullbacks. This line is rather noisy, and as such we take a moving average to smooth out some of the noise. Key Parameters RSI Period : The period for RSI calculation. MA Period : The moving average period applied to RSI. Price MA Period : Determines the SMA period for price, used to calculate pullback depth. Smoothing Length : Length of smoothing applied to the weighted RSI, creating a more stable signal. RSI Critical Value : The critical value (level) used in determining whether we're in an uptrend or a downtrend. Depth Critical Value : The critical value (level) used in determining whether or not the depth weighted value confirms the state of a trend. Notes: As always, backtest this indicator and modify the parameters as needed for your specific asset, over your specific timeframe. I chose these defaults as they worked well on the assets I look at, but it is likely you tend to look at a different group of assets over a different timeframe than what I do. Large pullbacks can create large downward spikes in the weighted line. This isn't graphically pleasing, but I have tested it with various methods of normalization and smoothing and found the simple smoothing used in the indicator to be best despite this.
Indicador de Pine Script™
por nathanfarmer
New Rate - PROIndicator Description: New Rate - PRO The New Rate - PRO is an advanced trading indicator designed to assist traders in identifying significant price levels and potential reversal points within a specified time frame. By highlighting key highs and lows, projecting trendlines, and providing visual cues, this indicator enhances your ability to make informed trading decisions. It offers extensive customization options, ensuring adaptability to various trading styles and market conditions. --- Key Features: Customizable Color Themes: Choose between Dark and Light color styles to match your chart preferences. High and Low Line Detection: Automatically identifies and draws lines for significant high and low price levels within the defined analysis period. Midline Projection: Optionally displays a midline representing the 50% range between the detected high and low, aiding in trend analysis. Candle Coloring: Colors the first six candles within the analysis range with a specific color, while the remaining candles are displayed in a subdued gray for clarity. Trading Session Highlight: Highlights the designated trading hours on the chart, providing a clear visual reference for active trading periods. Touch Detection Arrows: Plots arrows on the chart when the price touches the detected high or low levels, indicating potential trading opportunities. Extensive Customization Options: Allows users to adjust line colors, styles, widths, label texts, and more to suit individual trading preferences. Timeframe and Range Configuration: Defines the specific timeframe and time range for analysis, ensuring precise detection of significant price levels. How Does the Indicator Work? Color Style Selection: - Choose between "Dark" or "Light" themes to match your chart setup, adjusting the color palette for optimal visibility. High and Low Line Detection: - The indicator analyzes the first six candles within the specified time range to identify the highest and lowest price levels. - Once detected, it draws horizontal lines extending 25 candles to the right, marking these significant levels on the chart. Midline Projection: - If enabled, the indicator calculates the midpoint between the detected high and low. - It then draws a horizontal line at this midpoint, providing an additional reference for potential support or resistance. Candle Coloring: - The first six candles within the analysis period are colored based on user selection (default: yellow). - Subsequent candles are displayed in a semi-transparent gray, allowing the key candles to stand out. Trading Session Highlight: - Highlights the active trading hours on the chart using a semi-transparent orange background. - This visual aid helps traders focus on periods of increased market activity. Touch Detection Arrows: - When the price touches the previously detected high or low levels, the indicator plots an upward green arrow or a downward red arrow, respectively. - These arrows signal potential entry points for buy or sell trades. Customization of Labels and Lines: - Users can customize the colors, styles (Solid, Dotted, Dashed), and widths of the high, low, and midline. - Label texts and font sizes are also adjustable to enhance readability. How to Use the Indicator? Setup Color Themes: - Select your preferred color theme ("Dark" or "Light") to ensure the indicator aligns with your chart's appearance. Configure High and Low Lines: - Adjust the line color, style, and width to clearly distinguish high and low levels on the chart. - Enable or disable the midline based on your analysis needs. Set Timeframe and Analysis Range: - Define the chart's timeframe in minutes (e.g., 5 minutes) to tailor the indicator's sensitivity. - Specify the start and end hours and minutes for the analysis period to focus on specific trading sessions. Customize Candle Colors: - Choose the color for the first six candles within the analysis range. - The remaining candles will automatically be displayed in a default gray color. Enable Trading Session Highlight: - Activate the background highlight for the trading session to visually separate active trading hours from inactive periods. Monitor Touch Detection Arrows: - Watch for green upward arrows indicating potential buy signals when the price touches the high level. - Look for red downward arrows signaling potential sell opportunities when the price reaches the low level. Adjust Labels and Visual Elements: - Modify label texts and font sizes to ensure clarity and avoid clutter on the chart. - Fine-tune line styles and colors for better visual differentiation. Plan Your Trades: - Use the detected high and low levels as reference points for setting entry, stop-loss, and take-profit levels. - Combine with other technical analysis tools to confirm trade signals and enhance decision-making. --- What Makes This Indicator Original? Dynamic High and Low Detection: Automatically identifies significant price levels within a defined time range, providing timely insights into market movements. Midline Projection Feature: Offers an additional reference point by calculating and displaying the midpoint between high and low levels, aiding in trend analysis. Customizable Visual Elements: Extensive customization options for colors, styles, and labels allow traders to tailor the indicator to their specific preferences and trading environments. Touch Detection Arrows: Provides clear visual signals when the price interacts with key levels, facilitating quick decision-making for trade entries. Trading Session Highlight: Enhances focus by visually distinguishing active trading periods, helping traders concentrate on high-probability trading times. Trade Summary Visualization: (If applicable based on code) Offers a summary of recent trades, allowing traders to assess performance directly on the chart. Additional Considerations Testing and Optimization: Before deploying the indicator in live trading, test it on historical data and a demo account to fine-tune settings according to your trading strategy. Complementary Analysis: Use the indicator alongside other technical analysis tools such as moving averages, trendlines, and oscillators to confirm trade signals. Risk Management: Always set appropriate stop-loss and take-profit levels to manage risk effectively, regardless of the indicator's signals. Stay Informed: Keep abreast of market news and economic events that may influence price movements and affect the indicator's performance. Adjust for Different Assets: Customize the indicator's settings based on the asset's volatility and trading behavior to enhance accuracy and reliability. --- Example Configuration To help you get started, here is an example configuration: Color Style: Dark Line Color (High and Low): Red Line Style (High and Low): Dotted Line Width (High and Low): 2 Midline Color (50%): Blue Show Midline: Yes Label Text Color: Gray Label Font Size: Medium Candle Color (First 6 Candles): Yellow Default Candle Color (Remaining Candles): Semi-transparent Gray Timeframe Minutes: 5 Analysis Start Time: 08:35 Analysis End Time: 09:05 These settings are optimized for a 5-minute XAUUSD chart during the 8:35 to 09:05 trading session, highlighting key price levels and providing clear visual signals for potential trades. Conclusion The New Rate - PRO indicator is tool that combines dynamic price level detection with extensive customization and real-time visual cues. By automatically identifying significant highs and lows, projecting trendlines, and signaling potential trade opportunities, it enhances your ability to navigate the markets effectively. Its adaptability through customizable settings ensures that it can be tailored to various trading styles and market conditions, making it a valuable addition to any trader's toolkit.
Indicador de Pine Script™
por PoPeyGroupinc
31
Market Structure Algo V2 [OmegaTools]The Market Structure Algo V2 (MS Algo V2) is an advanced TradingView indicator developed by OmegaTools to provide traders with a comprehensive analysis of market structure. This tool refines the insights provided by its predecessor, combining enhanced pivot point analysis, dynamic market structure scoring, and zone visualization to deliver an intuitive view of potential market movements. Through custom settings, the MS Algo V2 allows users to tailor the indicator to fit their trading strategies more closely, offering enhanced adaptability to both short-term and long-term trends. Core Functionality The MS Algo V2 differentiates between internal and external market structures by analyzing pivot highs and lows over user-defined periods. The internal market structure focuses on shorter timeframes, providing insights into recent price action, while the external structure considers broader trends. This dual-layered approach helps traders distinguish between immediate and overarching market trends. The indicator introduces improved visualization for areas of interest or zones around pivot points, adjustable through zone distance settings. These zones serve as potential support and resistance areas, helping traders anticipate price reactions at key levels. In addition to the zones, the indicator now provides gradient-based color coding on bars, reflecting the market structure’s bullish or bearish intensity. This visual enhancement aids in quickly interpreting the current trend's strength. Dynamic signal generation has been refined in MS Algo V2. The indicator now offers both classic signals and breakout signals based on the market structure, including entries, exits, and change-of-character (CHoCH) alerts. Signals are generated based on price interactions with pivot levels, indicating potential long and short opportunities. Operational Mechanism The MS Algo V2 calculates pivot highs and lows over specified periods to define internal and external market structures. A market structure score is derived from these pivot points, classifying the market into bullish or bearish extremes. Signals are generated as the closing price interacts with these levels, marking entry and exit points based on the calculated structure. A new feature in this version is zone visualization, where zones are plotted around a dynamic moving average derived from the exponential and simple moving averages (EMA and SMA). The zones are adjusted based on ATR (Average True Range) and the specified zone distance percentile, providing a clear visual representation of potential support and resistance regions. The external and internal zones are represented with different levels of transparency for quick reference. Usage Guidelines To apply the MS Algo V2 to your TradingView charts, adjust the internal and external market structure settings to match your preferred analysis timeframes. The line style and width of each structure can also be customized for a tailored view. The Zone Distance setting allows users to define the percentile range of the zones around the moving average, providing further flexibility in identifying potential areas of support and resistance. For a color-coded overview of market sentiment, the bar gradient feature can be enabled. This option uses a gradient that reflects the bullish or bearish intensity of the market structure, giving traders a visual cue on the market’s overall trend. Color-coded signals and zone fill areas further assist in interpreting the current market structure and identifying potential trade areas. The indicator includes customizable alerts for long and short signals, as well as specific breakout alerts (BOS) and change-of-character (CHoCH) signals. These alerts can help traders stay informed about significant market structure changes, supporting timely trading decisions. Understanding the Indicator’s Originality The MS Algo V2 stands out due to its robust integration of pivot analysis, zone visualization, and market structure scoring, offering a unique perspective on market dynamics. With features like color-coded signals, bar gradients, and configurable alerts, MS Algo V2 provides an edge in understanding both the current market environment and potential turning points. This indicator’s ability to represent the market’s structure visually makes it a powerful addition to any trader’s toolkit, especially for those seeking a deeper, multi-layered approach to market analysis.
Indicador de Pine Script™
por OmegaTools
Quantum Trend IndicatorThis algorithm, named "Quantum Trend Indicator," is designed to generate trading signals based on a mix of indicators like RSI, Stochastic RSI, volatility (using standard deviation), and a Z-score filter. Here’s a breakdown of the components: 1. RSI Calculation: Calculates the Relative Strength Index (RSI) of the closing price using a specified length (rsiLength). RSI is a momentum oscillator that measures the speed and change of price movements. 2. Stochastic RSI: A stochastic RSI is calculated from the RSI values, essentially a second layer of smoothing that is often more sensitive to price changes. The code uses %K (fast) and %D (slow) components to smooth the Stochastic RSI, providing pivot signals based on crossovers: stochRsiPivotUp: Signals a potential reversal to the upside. stochRsiPivotDown: Signals a potential reversal to the downside. 3. Volatility Calculation: Calculates volatility using the standard deviation of the closing prices over a set volatilityLength. Standard deviation measures how spread out the prices are, giving an idea of the current price volatility. 4. Z-Score Calculation: Computes the Z-score of the closing prices to see how far current prices are from their mean, normalized by volatility. The Z-score helps identify rare price movements, indicating potential reversals when the value is extreme (either high or low). 5. Filtering Stages: Stage 1: Uses Stochastic RSI pivots to detect initial reversal signals. Stage 2: Uses volatility and the Z-score to ensure the signal is generated during high-volatility periods with significant price movements. - signalUp: Generated when conditions indicate an upward reversal. - signalDown: Generated for a potential downward reversal. 6. Signal Generation: If all conditions for signalUp or signalDown are met, a "Buy" or "Sell" signal is shown on the chart. Suggested Optimal Settings for S&P 500 Index on 3-Minute Timeframe rsiLength (RSI Length): Optimal Range: 8 to 14. Recommendation: A shorter rsiLength (8–10) would make RSI more responsive on a 3-minute timeframe for S&P 500, helping to catch fast price movements. stochRsiLength (Stochastic RSI Length): Optimal Range: 8 to 14. Recommendation: A length similar to the rsiLength (e.g., 8 or 10) will keep Stochastic RSI sensitive enough for shorter timeframes like 3 minutes. stochRsiK (%K Period for Stochastic RSI): Optimal Range: 3 to 5. Recommendation: stochRsiK around 3 provides smoother Stochastic RSI values, with less noise on short timeframes. stochRsiD (%D Period for Stochastic RSI): Optimal Range: 3 to 5. Recommendation: Use a period around 3 for stochRsiD to complement the sensitivity of %K while still filtering out excessive noise. volatilityLength (Volatility Calculation Length): Optimal Range: 14 to 20. Recommendation: Around 14 to 16 works well on shorter timeframes, as it captures recent volatility trends without excessive lag. sigmaMultiplier (Sigma Multiplier for Volatility Filter): Optimal Range: 1.5 to 2.5. Recommendation: A multiplier of around 1.8 to 2.2 strikes a balance, highlighting significant moves without over-filtering. zScoreThreshold (Threshold for Signal Validity): Optimal Range: 1.5 to 2.0. Recommendation: A threshold of around 1.8 generally provides enough sensitivity while filtering out minor price swings, especially on a high-liquidity asset like the S&P 500.
Indicador de Pine Script™
por vlmgd