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Trend-analysis

Candle close on high time frameOVERVIEW This indicator plots persistent closing levels of higher time frame candles (H1, H4, and Daily) on the active intraday chart in real time. Unlike similar tools, it offers granular control over line projection length, fully independent toggles per timeframe, and a built-in mechanism that automatically limits the total number of historical levels to avoid chart clutter and performance issues. CONCEPTS Key levels from higher time frames often act as areas where price reacts or consolidates. By projecting each candle's exact closing price forward as a horizontal reference, traders can quickly identify dynamic support and resistance zones relevant to the current price action. This indicator enables seamless multi-timeframe analysis without the need to manually switch chart intervals or re-draw lines. FEATURES Independent Time Frame Selection: Enable or disable H1, H4, and Daily levels individually to tailor the analysis. Custom Extension Length: Each timeframe's closing level can be projected forward for a user-defined number of bars. Performance Optimization: The script maintains an internal limit (default: 100) on the number of active lines. When this threshold is exceeded, the oldest lines are removed automatically. Visual Differentiation: Colors for each timeframe are fully customizable, enabling immediate recognition of level origin. Immediate Update: New levels appear as soon as a higher timeframe candle closes, ensuring real-time reference. USAGE From the indicator inputs, select which timeframes you want to track. Adjust the extension lengths to fit your trading style and time horizon. Customize the line colors for clarity and personal preference. Use these projected levels as part of your confluence criteria for entries, exits, or stop placement. Combine with trend indicators or price action tools to enhance your multi-timeframe strategy. ORIGINALITY AND ADDED VALUE While similar scripts exist that plot higher timeframe levels, this implementation differs in: Its efficient automatic cleanup of old lines to preserve chart performance. The independent extension and color settings per timeframe. Immediate reaction to new candle closes without repainting. Simplicity of use combined with precise customization. This combination makes it a practical and flexible tool for traders who rely on clear HTF level visualization without manual drawing or the limitations of built-in TradingView tools. LICENSE This script is published open-source under the Mozilla Public License 2.0.
Pine Script® indicator
by Max_GS
[GalihRidha] Scalping Dashboard 5m Scalping Dashboard 5m is a practical, real-time, and user-friendly indicator designed for 5-minute intraday scalping strategies. This indicator provides clear, actionable signals along with dynamic risk management levels, all visualized in a single vertical dashboard on your chart. Key Features: Actionable Next Signal: Generates a strong, easy-to-follow trading signal ("LONG" or "SHORT") every 5 minutes, based on a multi-factor algorithm (MA20/MA50 trend, RSI, price/volume strength, candle momentum, and market structure). Dynamic TP/SL Calculation: Automatically displays recommended Take Profit (TP) and Stop Loss (SL) price ranges, calculated from recent price action, support/resistance, and volatility (ATR). Vertical Dashboard Layout: Information is neatly split between "LAST SECTION" (your most recent executed signal, TP, and SL) and "NEXT SECTION" (real-time signal, recommended TP/SL, and current price). Perfectly formatted for both desktop and mobile TradingView use. Live "Capturing" Status: When a new signal is forming (1 minute before candle close), the dashboard shows an animated "Capturing..." status—so you always know when the indicator is preparing the next actionable trade. Buffered Signal Logic: Prevents “signal repainting” by ensuring that your "Last Signal" and TP/SL levels are exactly what was shown in the previous Next Signal, never the recalculated value from a new bar. This is vital for honest backtesting and live trade confidence. Zero Lag, Mobile Ready: Designed to be lightweight and responsive, with instant dashboard updates and no visual lag—even on slower connections or when switching timeframes. No repaint, no lagging, pure price action + volatility logic. How to Use: Add to Chart Apply the indicator to any liquid crypto or forex pair on the 5-minute (5m) timeframe. Watch the Dashboard 1 minute before the close of each 5-minute candle, the "Next Signal" section will activate. "Capturing..." status (with animated dots) means a new entry signal is forming. Use the suggested Entry, TP Range, and SL for your scalping strategy. Follow the Signal When "Next Signal" appears, you have 1 minute to enter the trade if desired. After the signal passes, the values are locked into the "Last Section" for reference, record-keeping, or trade management. Mobile Friendly The vertical format ensures the dashboard is always visible and readable on both web and mobile versions of TradingView. No need to manually refresh or guess when a new signal is forming—just watch for "Capturing..."! Best Practice & Tips: For best results, use on trending or high-volume assets. Avoid low liquidity or choppy sideways markets. Combine with your own risk management and execution strategy for maximum performance. This dashboard is 100% Pine Script v5, fully open-source, and does not repaint. You can customize TP/SL logic or integrate with alerts for even more automation. Why This Indicator? Most scalping indicators provide signals, but don't show you the real, actionable context—especially in mobile or fast-moving markets. This dashboard solves that problem by giving you everything you need for quick, clear, and confident trading—all in one place, with true buffer logic so your entries and results are always honest and reproducible. Happy scalping and stay disciplined—let the dashboard do the heavy lifting for you! 🚀
Pine Script® indicator
by galihridha
1
Triad Macro Gauge__________________________________________________________________________________ Introduction __________________________________________________________________________________ The Triad Macro Gauge (TMG) is designed to provide traders with a comprehensive view of the macroeconomic environment impacting financial markets. By synthesizing three critical market signals— VIX (volatility) , Credit Spreads (credit risk) , and the Stocks/Bonds Ratio (SPY/TLT) —this indicator offers a probabilistic assessment of market sentiment, helping traders identify bullish or bearish macro conditions. Holistic Macro Analysis: Combines three distinct macroeconomic indicators for multi-dimensional insights. Customization & Flexibility: Adjust weights, thresholds, lookback periods, and visualization styles. Visual Clarity: Dynamic table, color-coded plots, and anomaly markers for quick interpretation. Fully Consistent Scores: Identical values across all timeframes (4H, daily, weekly). Actionable Signals: Clear bull/bear thresholds and volatility spike detection. Optimized for timeframes ranging from 4 hour to 1 week , the TMG equips swing traders and long-term investors with a robust tool to navigate macroeconomic trends. __________________________________________________________________________________ Key Indicators __________________________________________________________________________________ VIX (CBOE:VIX): Measures market volatility (negatively weighted for bearish signals). Credit Spreads (FRED:BAMLH0A0HYM2EY): Tracks high-yield bond spreads (negatively weighted). Stocks/Bonds Ratio (SPY/TLT): Evaluates equity sentiment relative to treasuries (positively weighted). __________________________________________________________________________________ Originality and Purpose __________________________________________________________________________________ The TMG stands out by combining VIX, Credit Spreads, and SPY/TLT into a single, cohesive indicator. Its unique strength lies in its fully consistent scores across all timeframes, a critical feature for multi-timeframe analysis. Purpose: To empower traders with a clear, actionable tool to: Assess macro conditions Spot market extremes Anticipate reversals __________________________________________________________________________________ How It Works __________________________________________________________________________________ VIX Z-Score: Measures volatility deviations (inverted for bearish signals). Credit Z-Score: Tracks credit spread deviations (inverted for bearish signals). Ratio Z-Score: Assesses SPY/TLT strength (positively weighted for bullish signals). TMG Score: Weighted composite of z-scores (bullish > +0.30, bearish < -0.30). Anomaly Detection: Identifies extreme volatility spikes (z-score > 3.0). All calculations are performed using daily data, ensuring that scores remain consistent across all chart timeframes. __________________________________________________________________________________ Visualization & Interpretation __________________________________________________________________________________ The script visualizes data through: A dynamic table displaying TMG Score , VIX Z, Credit Z, Ratio Z, and Anomaly status, with color gradients (green for positive, red for negative, gray for neutral/N/A). A plotted TMG Score in Area, Histogram, or Line mode , with adaptive opacity for clarity. Bull/Bear thresholds as horizontal lines (+0.30/-0.30) to signal market conditions. Anomaly markers (orange circles) for volatility spikes. Crossover signals (triangles) for bull/bear threshold crossings. The table provides an immediate snapshot of macro conditions, while the plot offers a visual trend analysis. All values are consistent across timeframes, simplifying multi-timeframe analysis. __________________________________________________________________________________ Script Parameters __________________________________________________________________________________ Extensive customization options: Symbol Selection: Customize VIX, Credit Spreads, SPY, TLT symbols Core Parameters: Adjust lookback periods, weights, smoothing Anomaly Detection: Enable/disable with custom thresholds Visual Style: Choose display modes and colors __________________________________________________________________________________ Conclusion __________________________________________________________________________________ The Triad Macro Gauge by Ox_kali is a cutting-edge tool for analyzing macroeconomic trends. By integrating VIX, Credit Spreads, and SPY/TLT, TMG provides traders with a clear, consistent, and actionable gauge of market sentiment. Recommended for: Swing traders and long-term investors seeking to navigate macro-driven markets. __________________________________________________________________________________ Credit & Inspiration __________________________________________________________________________________ Special thanks to Caleb Franzen for his pioneering work on macroeconomic indicator blends – his research directly inspired the core framework of this tool. __________________________________________________________________________________ Notes & Disclaimer __________________________________________________________________________________ This is the initial public release (v2.5.9). Future updates may include additional features based on user feedback. Please note that the Triad Macro Gauge is not a guarantee of future market performance and should be used with proper risk management. Past performance is not indicative of future results.
Pine Script® indicator
by Ox_kali
Moving Average Shift WaveTrend StrategyMoving Average Shift WaveTrend Strategy 🧭 Overview The Moving Average Shift WaveTrend Strategy is a trend-following and momentum-based trading system designed to be overlayed on TradingView charts. It executes trades based on the confluence of multiple technical conditions—volatility, session timing, trend direction, and oscillator momentum—to deliver logical and systematic trade entries and exits. 🎯 Strategy Objectives Enter trades aligned with the prevailing long-term trend Exit trades on confirmed momentum reversals Avoid false signals using session timing and volatility filters Apply structured risk management with automatic TP, SL, and trailing stops ⚙️ Key Features Selectable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA Dual-filter logic using a custom oscillator and moving averages Session and volatility filters to eliminate low-quality setups Trailing stop, configurable Take Profit / Stop Loss logic “In-wave flag” prevents overtrading within the same trend wave Visual clarity with color-shifting candles and entry/exit markers 📈 Trading Rules ✅ Long Entry Conditions: Price is above the selected MA Oscillator is positive and rising 200-period EMA indicates an uptrend ATR exceeds its median value (sufficient volatility) Entry occurs between 09:00–17:00 (exchange time) Not currently in an active wave 🔻 Short Entry Conditions: Price is below the selected MA Oscillator is negative and falling 200-period EMA indicates a downtrend All other long-entry conditions are inverted ❌ Exit Conditions: Take Profit or Stop Loss is hit Opposing signals from oscillator and MA Trailing stop is triggered 🛡️ Risk Management Parameters Pair: ETH/USD Timeframe: 4H Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pips Risk per Trade: 2% of account equity (adjustable) Total Trades: 224 Backtest Period: May 24, 2016 — April 7, 2025 Note: Risk parameters are fully customizable to suit your trading style and broker conditions. 🔧 Trading Parameters & Filters Time Filter: Trades allowed only between 09:00–17:00 (exchange time) Volatility Filter: ATR must be above its median value Trend Filter: Long-term 200-period EMA 📊 Technical Settings Moving Average Type: SMA Length: 40 Source: hl2 Oscillator Length: 15 Threshold: 0.5 Risk Management Take Profit: 1.5% Stop Loss: 1.0% Trailing Stop: 1.0% 👁️ Visual Support MA and oscillator color changes indicate directional bias Clear chart markers show entry and exit points Trailing stops and risk controls are transparently managed 🚀 Strategy Improvements & Uniqueness In-wave flag avoids repeated entries within the same trend phase Filtering based on time, volatility, and trend ensures higher-quality trades Dynamic high/low tracking allows precise trailing stop placement Fully rule-based execution reduces emotional decision-making 💡 Inspirations & Attribution This strategy is inspired by the excellent concept from: ChartPrime – “Moving Average Shift” It expands on the original idea with advanced trade filters and trailing logic. Source reference: 📌 Summary The Moving Average Shift WaveTrend Strategy offers a rule-based, reliable approach to trend trading. By combining trend and momentum filters with robust risk controls, it provides a consistent framework suitable for various market conditions and trading styles. ⚠️ Disclaimer This script is for educational purposes only. Trading involves risk. Always use proper backtesting and risk evaluation before applying in live markets.
Pine Script® strategy
by PakunFX
DSL Trend Analysis [ChartPrime]The DSL Trend Analysis indicator utilizes Discontinued Signal Lines (DSL) deployed directly on price, combined with dynamic bands, to analyze the trend strength and momentum of price movements. By tracking the high and low price values and comparing them to the DSL bands, it provides a visual representation of trend momentum, highlighting both strong and weakening phases of market direction. ⯁ KEY FEATURES AND HOW TO USE ⯌ DSL-Based Trend Detection : This indicator uses Discontinued Signal Lines (DSL) to evaluate price action. When the high stays above the upper DSL band, the line turns lime, indicating strong upward momentum. Similarly, when the low stays below the lower DSL band, the line turns orange, indicating strong downward momentum. Traders can use these visual signals to identify strong trends in either direction. ⯌ Bands for Trend Momentum : The indicator plots dynamic bands around the DSL lines based on ATR (Average True Range). These bands provide a range within which price can fluctuate, helping to distinguish between strong and weakening trends. If the high remains within the upper band, the lime-colored line becomes transparent, showing weakening upward momentum. The same concept applies for the lower band, where the line turns orange with transparency, indicating weakening downward momentum. If high and low stays between bands line has no color to make sure indicator catches only strong momentum of price ⯌ Real-Time Band Price Labels : The indicator places two labels on the chart, one at the upper DSL band and one at the lower DSL band, displaying the real-time price values of these bands. These labels help traders track the current price relative to the key bands, which are essential in determining potential breakout or reversal zones. ⯌ Visual Confirmation of Momentum Shifts : By monitoring the relationship between the high and low values of the price relative to the DSL bands, this indicator provides a reliable way to confirm whether the trend is gaining or losing strength. This allows traders to act accordingly, whether it's to enter or exit positions based on trend strength or weakness. ⯁ USER INPUTS Length : Defines the period used to calculate the DSL lines, influencing the sensitivity of the trend detection. Offset : Adjusts the offset applied to the upper and lower DSL bands, affecting how the thresholds for strong or weak momentum are set. Width (ATR Multiplier) : Determines the width of the DSL bands based on an ATR multiplier, providing a dynamic range around the price for momentum analysis. ⯁ CONCLUSION The DSL Trend Analysis indicator is a powerful tool for assessing price momentum and trend strength. By combining Discontinued Signal Lines with dynamically calculated bands, traders can easily spot key moments when momentum shifts from strong to weak or vice versa. The color-coded lines and real-time price labels provide valuable insights for trading decisions in both trending and ranging markets.
Pine Script® indicator
by ChartPrime
9
Crab Harmonic Pattern [TradingFinder] Harmonic Chart patterns🔵 Introduction The Crab pattern is recognized as a reversal pattern in technical analysis, utilizing Fibonacci numbers and percentages for chart analysis. This pattern can predict suitable price reversal areas on charts using Fibonacci ratios. The structure of the Crab pattern can manifest in both bullish and bearish forms on the chart. By analyzing this structure, traders can identify points where the price direction changes, which are essential for making informed trading decisions. The pattern's structure is visually represented on charts as shown below. To gain a deeper understanding of the Crab pattern's functionality, it is beneficial to become familiar with its various harmonic forms. 🟣 Types of Crab Patterns The Crab pattern is categorized into two types based on its structure: bullish and bearish. The bullish Crab is denoted by the letter M, while the bearish Crab is indicated by the letter W in technical analysis. Typically, a bullish Crab pattern signals a potential price increase, whereas a bearish Crab pattern suggests a potential price decrease on the chart. The direction of price movement depends significantly on the price's position within the chart. By identifying whether the pattern is bullish or bearish, traders can determine the likely direction of the price reversal. Bullish Crab : Bearish Crab : 🔵 How to Use When trading using the Crab pattern, crucial parameters include the end time of the correction and the point at which the chart reaches its peak. Generally, the best time to buy is when the chart nears the end of its correction, and the best time to sell is when it approaches the peak price. As we discussed, the end of the price correction and the time to reach the peak are measured using Fibonacci ratios. By analyzing these levels, traders can estimate the end of the correction in the chart waves and select a buying position for their stock or asset upon reaching that ratio. 🟣 Bullish Crab Pattern In this pattern, the stock price is expected to rise at the pattern's completion, transitioning into an upward trend. The bullish Crab pattern usually begins with an upward trend, followed by a price correction, after which the stock resumes its upward movement. If a deeper correction occurs, the price will change direction at some point on the chart and rise again towards its target price. Price corrections play a critical role in this pattern, as it aims to identify entry and exit points using Fibonacci ratios, allowing traders to make purchases at the end of the corrections. When the price movement lines are connected on the chart, the bullish Crab pattern resembles the letter M. 🟣 Bearish Crab Pattern In this pattern, the stock price is expected to decline at the pattern's completion, leading to a strong downward trend. The bearish Crab pattern typically starts with a price correction in a downward trend and, after several fluctuations, reaches a peak where the direction changes downward, resulting in a significant price drop. This pattern uses Fibonacci ratios to identify points where the price movement is likely to change direction, enabling traders to exit their positions at the chart's peak. When the price movement lines are connected on the chart, the bearish Crab pattern resembles the letter W. 🔵 Setting 🟣 Logical Setting ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition. Show Valid Format : If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern. Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk. Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period. 🟣 Genaral Setting Show : Enter "On" to display the template and "Off" to not display the template. Color : Enter the desired color to draw the pattern in this parameter. LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness. LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries. 🟣 Alert Setting Alert : On / Off Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar". Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
Pine Script® indicator
by TFlab
2
Six PillarsGeneral Overview The "Six Pillars" indicator is a comprehensive trading tool that combines six different technical analysis methods to provide a holistic view of market conditions. These six pillars are: Trend Momentum Directional Movement (DM) Stochastic Fractal On-Balance Volume (OBV) The indicator calculates the state of each pillar and presents them in an easy-to-read table format. It also compares the current timeframe with a user-defined comparison timeframe to offer a multi-timeframe analysis. A key feature of this indicator is the Confluence Strength meter. This unique metric quantifies the overall agreement between the six pillars across both timeframes, providing a score out of 100. A higher score indicates stronger agreement among the pillars, suggesting a more reliable trading signal. I also included a visual cue in the form of candle coloring. When all six pillars agree on a bullish or bearish direction, the candle is colored green or red, respectively. This feature allows traders to quickly identify potential high-probability trade setups. The Six Pillars indicator is designed to work across multiple timeframes, offering a comparison between the current timeframe and a user-defined comparison timeframe. This multi-timeframe analysis provides traders with a more comprehensive understanding of market dynamics. Origin and Inspiration The Six Pillars indicator was inspired by the work of Dr. Barry Burns, author of "Trend Trading for Dummies" and his concept of "5 energies." (Trend, Momentum, Cycle, Support/Resistance, Scale) I was intrigued by Dr. Burns' approach to analyzing market dynamics and decided to put my own twist upon his ideas. Comparing the Six Pillars to Dr. Burns' 5 energies, you'll notice I kept Trend and Momentum, but I swapped out Cycle, Support/Resistance, and Scale for Directional Movement, Stochastic, Fractal, and On-Balance Volume. These changes give you a more dynamic view of market strength, potential reversals, and volume confirmation all in one package. What Makes This Indicator Unique The standout feature of the Six Pillars indicator is its Confluence Strength meter. This feature calculates the overall agreement between the six pillars, providing traders with a clear, numerical representation of signal strength. The strength is calculated by considering the state of each pillar in both the current and comparison timeframes, resulting in a score out of 100. Here's how it calculates the strength: It considers the state of each pillar in both the current timeframe and the comparison timeframe. For each pillar, the absolute value of its state is taken. This means that both strongly bullish (2) and strongly bearish (-2) states contribute equally to the strength. The absolute values for all six pillars are summed up for both timeframes, resulting in two sums: current_sum and alternate_sum. These sums are then added together to get a total_sum. The total_sum is divided by 24 (the maximum possible sum if all pillars were at their strongest states in both timeframes) and multiplied by 100 to get a percentage. The result is rounded to the nearest integer and capped at a minimum of 1. This calculation method ensures that the Confluence Strength meter takes into account not only the current timeframe but also the comparison timeframe, providing a more robust measure of overall market sentiment. The resulting score, ranging from 1 to 100, gives traders a clear and intuitive measure of how strongly the pillars agree, with higher scores indicating stronger potential signals. This approach to measuring signal strength is unique in that it doesn't just rely on a single aspect of price action or volume. Instead, it takes into account multiple factors, providing a more robust and reliable indication of potential market moves. The higher the Confluence Strength score, the more confident traders can be in the signal. The Confluence Strength meter helps traders in several ways: It provides a quick and easy way to gauge the overall market sentiment. It helps prioritize potential trades by identifying the strongest signals. It can be used as a filter to avoid weaker setups and focus on high-probability trades. It offers an additional layer of confirmation for other trading strategies or indicators. By combining the Six Pillars analysis with the Confluence Strength meter, I've created a powerful tool that not only identifies potential trading opportunities but also quantifies their strength, giving traders a significant edge in their decision-making process. How the Pillars Work (What Determines Bullish or Bearish) While developing this indicator, I selected and configured six key components that work together to provide a comprehensive view of market conditions. Each pillar is set up to complement the others, creating a synergistic effect that offers traders a more nuanced understanding of price action and volume. Trend Pillar: Based on two Exponential Moving Averages (EMAs) - a fast EMA (8 period) and a slow EMA (21 period). It determines the trend by comparing these EMAs, with stronger trends indicated when the fast EMA is significantly above or below the slow EMA. Directional Movement (DM) Pillar: Utilizes the Average Directional Index (ADX) with a default period of 14. It measures trend strength, with values above 25 indicating a strong trend. It also considers the Positive and Negative Directional Indicators (DI+ and DI-) to determine trend direction. Momentum Pillar: Uses the Moving Average Convergence Divergence (MACD) with customizable fast (12), slow (26), and signal (9) lengths. It compares the MACD line to the signal line to determine momentum strength and direction. Stochastic Pillar: Employs the Stochastic oscillator with a default period of 13. It identifies overbought conditions (above 80) and oversold conditions (below 20), with intermediate zones between 60-80 and 20-40. Fractal Pillar: Uses Williams' Fractal indicator with a default period of 3. It identifies potential reversal points by looking for specific high and low patterns over the given period. On-Balance Volume (OBV) Pillar: Incorporates On-Balance Volume with three EMAs - short (3), medium (13), and long (21) periods. It assesses volume trends by comparing these EMAs. Each pillar outputs a state ranging from -2 (strongly bearish) to 2 (strongly bullish), with 0 indicating a neutral state. This standardized output allows for easy comparison and aggregation of signals across all pillars. Users can customize various parameters for each pillar, allowing them to fine-tune the indicator to their specific trading style and market conditions. The multi-timeframe comparison feature also allows users to compare pillar states between the current timeframe and a user-defined comparison timeframe, providing additional context for decision-making. Design From a design standpoint, I've put considerable effort into making the Six Pillars indicator visually appealing and user-friendly. The clean and minimalistic design is a key feature that sets this indicator apart. I've implemented a sleek table layout that displays all the essential information in a compact and organized manner. The use of a dark background (#030712) for the table creates a sleek look that's easy on the eyes, especially during extended trading sessions. The overall design philosophy focuses on presenting complex information in a simple, intuitive format, allowing traders to make informed decisions quickly and efficiently. The color scheme is carefully chosen to provide clear visual cues: White text for headers ensures readability Green (#22C55E) for bullish signals Blue (#3B82F6) for neutral states Red (#EF4444) for bearish signals This color coding extends to the candle coloring, making it easy to spot when all pillars agree on a bullish or bearish outlook. I've also incorporated intuitive symbols (↑↑, ↑, →, ↓, ↓↓) to represent the different states of each pillar, allowing for quick interpretation at a glance. The table layout is thoughtfully organized, with clear sections for the current and comparison timeframes. The Confluence Strength meter is prominently displayed, providing traders with an immediate sense of signal strength. To enhance usability, I've added tooltips to various elements, offering additional information and explanations when users hover over different parts of the indicator. How to Use This Indicator The Six Pillars indicator is a versatile tool that can be used for various trading strategies. Here are some general usage guidelines and specific scenarios: General Usage Guidelines: Pay attention to the Confluence Strength meter. Higher values indicate stronger agreement among the pillars and potentially more reliable signals. Use the multi-timeframe comparison to confirm signals across different time horizons. Look for alignment between the current timeframe and comparison timeframe pillars for stronger signals. One of the strengths of this indicator is it can let you know when markets are sideways – so in general you can know to avoid entering when the Confluence Strength is low, indicating disagreement among the pillars. Customization Options The Six Pillars indicator offers a wide range of customization options, allowing traders to tailor the tool to their specific needs and trading style. Here are the key customizable elements: Comparison Timeframe: Users can select any timeframe for comparison with the current timeframe, providing flexibility in multi-timeframe analysis. Trend Pillar: Fast EMA Period: Adjustable for quicker or slower trend identification Slow EMA Period: Can be modified to capture longer-term trends Momentum Pillar: MACD Fast Length MACD Slow Length MACD Signal Length These can be adjusted to fine-tune momentum sensitivity DM Pillar: ADX Period: Customizable to change the lookback period for trend strength measurement ADX Threshold: Adjustable to define what constitutes a strong trend Stochastic Pillar: Stochastic Period: Can be modified to change the sensitivity of overbought/oversold readings Fractal Pillar: Fractal Period: Adjustable to identify potential reversal points over different timeframes OBV Pillar: Short OBV EMA Medium OBV EMA Long OBV EMA These periods can be customized to analyze volume trends over different timeframes These customization options allow traders to experiment with different settings to find the optimal configuration for their trading strategy and market conditions. The flexibility of the Six Pillars indicator makes it adaptable to various trading styles and market environments.
Pine Script® indicator
by smraikai
4
Volume Delta [hapharmonic]Volume Delta: Volume Delta is an indicator that simplifies how you analyze trading volumes and the percentage of buy-sell activities effortlessly. As a trader or market analyst, understanding underlying volume and trade flows is critical. The Volume Delta indicator provides thorough insight into both the total volume and the percentage of buying versus selling within the current candlestick. This information is pivotal for those looking to gauge market momentum and sentiment more effectively. Additionally, the Volume Delta indicator can plot the candlestick colors based on the percentage of the dominant buying or selling volume. The area between the open and close prices of the candlestick is considered 100% and fills with colors corresponding to the predominant volume at that percentage. Volume Delta also integrates the concept of Net volume. This component is crucial as it reveals the real market sentiment by calculating the difference between the volume of trades executed at an uptick and those at a downtick. 🟠 Overview This indicator now displays in two layouts. Recently, Tradingview introduced the "force_overlay=true" function in Pine Script , allowing plots to be moved to the main chart. Thus, all displays are from the same indicator. 🟠 USAGE From the data displayed in 'plot.style_columns' , the peak area represents the entire volume, accounting for 100%. Within this area, there are two color levels indicating volume. If one type of volume, whether buying or selling, exceeds the other, the larger volume will be positioned behind and the smaller in front. This arrangement prevents the scenario where a higher buying volume obscures the smaller selling volume. Therefore, the two colors can be switched between the front and the back as needed. As you can see, the 12 and 26-day Exponential Moving Averages (EMAs) are used, with the Volume Confirmation Length set at 6. Therefore, the crossing of the EMAs proceeds normally, but it is highlighted with three triangular arrows to indicate a high likelihood of a valid crossover. However, if the volume is insufficient, these markers won't be displayed, although the EMA crossover will still occur as usual. This can be useful for using volume to verify the significance of the EMA crossover. 🟠 Setting If you enable the label, please be aware that the chart size will shrink, causing the candlestick display to become unclear. Therefore, you might need to select "Logarithmic" at the bottom right of your screen, or for mobile applications, press and hold on the price scale and choose "Logarithmic" to adjust the scale appropriately. Enjoy!
Pine Script® indicator
by hapharmonic
64
Dual SMA/EMA BandsThe Dual SMA/EMA Bands indicator provides a clear view of market trends, combining Simple Moving Averages (SMA) and Exponential Moving Averages (EMA) in one customizable tool. Designed for any timeframe, it features Aqua and Purple Bands for 50-period and 200-period averages , respectively, aiding in trend analysis and volatility insights. Features: Adaptive Timeframes : Automatically aligns with the chart’s timeframe or can be manually set for cross-timeframe analysis. Customization : Offers easy adjustments for colors, line thickness, and opacity to suit personal preferences and enhance readability. Insights : Facilitates trend confirmation and volatility assessment, essential for informed trading decisions. Usage Tips: Use the bands to gauge market direction; above the bands suggests bullish conditions, below them indicates bearish trends. The gap between EMA and SMA within each band can signal market volatility. Apply customizable timeframes for a comprehensive market overview. Conclusion: With its straightforward setup and versatile application, the Dual SMA/EMA Bands indicator is a valuable tool for traders looking to deepen their market analysis and uncover trading opportunities.
Pine Script® indicator
by public_html
1
Hybrid EMA AlgoLearner⭕️Innovative trading indicator that utilizes a k-NN-inspired algorithmic approach alongside traditional Exponential Moving Averages (EMAs) for more nuanced analysis. While the algorithm doesn't actually employ machine learning techniques, it mimics the logic of the k-Nearest Neighbors (k-NN) methodology. The script takes into account the closest 'k' distances between a short-term and long-term EMA to create a weighted short-term EMA. This combination of rule-based logic and EMA technicals offers traders a more sophisticated tool for market analysis. ⭕️Foundational EMAs: The script kicks off by generating a 50-period short-term EMA and a 200-period long-term EMA. These EMAs serve a dual purpose: they provide the basic trend-following capability familiar to most traders, akin to the classic EMA 50 and EMA 200, and set the stage for more intricate calculations to follow. ⭕️k-NN Integration: The indicator distinguishes itself by introducing k-NN (k-Nearest Neighbors) logic into the mix. This machine learning technique scans prior market data to find the closest 'neighbors' or distances between the two EMAs. The 'k' closest distances are then picked for further analysis, thus imbuing the indicator with an added layer of data-driven context. ⭕️Algorithmic Weighting: After the k closest distances are identified, they are utilized to compute a weighted EMA. Each of the k closest short-term EMA values is weighted by its associated distance. These weighted values are summed up and normalized by the sum of all chosen distances. The result is a weighted short-term EMA that packs more nuanced information than a simple EMA would.
Pine Script® indicator
by Uldisbebris
4
OrderBlock [kyleAlgo]The principle of this indicator ATR (Average True Range) Setting: The code uses ATR to help calculate the Supertrend indicator. Supertrend Trend Direction: Identify bullish and bearish trends with the Supertrend method. Order Block Recognition: This part of the code recognizes and creates order blocks, visualizing them as boxes on the chart. If the number of blocks exceeds the maximum limit, old blocks will be deleted. Function to prevent overlapping: check whether the new order block overlaps with the existing order block through the isOverlapping function. Order block color setting: The code sets the color according to whether the block is bullish or bearish, and whether it breaks above or below. Afterwards the color of the existing order blocks will be updated. Sensitivity settings: Through the input settings of factor and atrPeriod, the sensitivity of Supertrend and the detection of order blocks can be affected. Visualization: Use TradingView's box.new function to draw and visualize order blocks on the chart. Practicality: Support and Resistance Levels: Order blocks may represent areas of support and resistance in the market. By visualizing these areas, traders can better understand when price reversals are likely to occur. Trading Signals: Traders may be able to identify trading signals based on the color changes of blocks and price breakouts. For example, if the price breaks above a bullish block, this could be a signal to buy. Risk Management: By using ATR to adjust the sensitivity of Supertrend, the symbol helps traders to adjust their strategies according to market volatility. This can be used as a risk management tool to help identify stop loss and take profit points. Multi-timeframe analysis: Although the code itself does not implement multi-timeframe analysis directly, it can be done by applying this indicator on different timeframes. This helps to analyze the market from different angles. Flexibility and Customization: Through sensitivity settings, traders can customize the indicator according to their needs and trading style. Reduced screen clutter: By removing overlapping order blocks and limiting the maximum number of order blocks, this code helps reduce clutter on charts, allowing traders to analyze the market more clearly. Overall, this "Pine Script" can be a powerful analytical tool for trend traders and those looking to improve their trading decisions by visualizing key market areas. It can be used alone or combined with other indicators and trading systems for enhanced functionality.
Pine Script® indicator
by kylealgo
2
Extended Recursive Bands StrategyThe original indicator was created by alexgrover . All credit goes to alexgrover for creating the indicator that this strategy uses. This strategy was posted because there were multiple requests for it, and no strategy based on this indicator exists yet. The Recursive Bands Indicator, an indicator specially created to be extremely efficient, I think you already know that calculation time is extra important in algorithmic trading, and this is the principal motivation for the creation of the proposed indicator. Originally described in Alex's paper "Pierrefeu, Alex (2019): Recursive Bands - A New Indicator For Technical Analysis", the indicator framework has been widely used in his previous uploaded indicators, however it would have been a shame to not upload it, however user experience being a major concern for me, I decided to add extra options, which explain the term "extended". The Indicator The indicator displays one upper and one lower band, every common usages applied to bands indicators such as support/resistance , breakout, trailing stop, etc, can also be applied to this one. Length controls how reactive the bands are, higher values will make the bands cross the price less often. In order to provide more flexibility for the user alexgrover added the option to use various methods for the calculation of the indicator, therefore the indicator can use the average true range , standard deviation, average high-low range, and one totally exclusive method specially designed for this indicator. Added logic: We have implemented a logic that checks whether the bands have been following in the same direction for a set amount of bars. This logic must be true before it can enter trades. This is completely new code that was written by us entirely, and it makes a huge difference on strategy performance. Strategy Long conditions: 1 — Price low is below the the lower band. 2 — The lower band keeps increasing in value until the 'lookback' setting amount of bars is reached. Strategy Short conditions: 1 — Price high is above the upper band. 2 — The upper band keeps decreasing in value until the 'lookback' setting amount of bars is reached. Strategy Properties: We have set a default commission of 0.06% because these are Bybit's fees. The strategy uses an order size of 10% of equity, since drawdown is very low like this. We also use a 10 tick slippage to keep results realistic and account for this. All other settings were left as default apart from initial capital, just to decrease the size of the numbers.
Pine Script® strategy
by Adulari
4
Relative Bi-Directional Volatility RangeThe basic math behind this Indicator is very similar to the math behind the Relative Strength Index without using a standard deviation as used for the Relative Volatility Index. The Volatility Range is calculated by utilizing the highs and lows. However not in the same way as in the Relative Volatility Index. This approach leads to different values, but the overall result clearly reveals the intrinsic Volatility of the chart, so the user can be aware, when something fundamentally is going on behind the scenes. If the Volatility rises on positive and negative range (-100 to 100) it implies that something fundamental is changing. An advantage of using this kind of calculation is the possibility of separating the data into positive (buy pressure) and negative (sell pressure) components. The bi-directional character shows a slightly overhang in one of the directions, which can be used to detect a trend. A Moving Average of the users choice shell smoothen the overhang of the Relative Bi-Directional Volatility and show a trend direction. Similar to the math of the Relative Strength Index as standard a Relative Moving Average is preferred. If the Moving Average is in the positive range (0 to 100) it indicates a bullish trend, else if the Moving Average is in the negative range (0 to -100) it indicates a bearish trend. External Indicators can use a provided Trend Shift Signal which switches from 0 to 1, if the trend becomes bullish or from 0 to -1, if the trend becomes bearish. The user should know, that in this Indicator the starting point of the Moving Averages always begins at the first bar, because the starting progress is approximated appropriately. Most Moving Averages require a minimum number of bars to be calculated, which is chosen with the Moving Average Length. In this cases the length used will be automatically reduced in the background until the number of bars is sufficient to match the chosen length. So if data history is very short, the Indicator can be used never the less as good as possible. It is feasible to switch the Indicator on a higher timeframe, while staying in a lower timeframe on the chart. This can be useful for making the indication cleaner, if the Moving Average is to choppy and shows too many false signals. On the other hand the benefit of a higher timeframe (or a higher Moving Average Length) is paid with higher latency of the signaling. So the user has to decide what the best setting in his case is. This Indicator can be used with all kinds of charts. Even charts with percentage or negative values should work fine.
Pine Script® indicator
by metka183
Trend IdentifierTrend Identifier for 1D BTC.USD It smoothens a closely following moving average into a polynomial like plot. And assumes 4 stage cycles based on the first and second derivatives. Green: Bull / Exponential Rise Yellow: Distribution Red: Bear / Exponential Drop Blue: Accumulation Red --> Blue --> Green: indicates the start of a bull market Green --> Yellow --> Red: indicates the start of a bear market Green --> Yellow: Start of a distribution phase, take profits Red --> Blue: Start of a accumulation phase, DCA
Pine Script® indicator
by spacekadet17
12
Statistical and Financial MetricsGood morning traders! This time I want to share with you a little script that, thanks to the use of arrays, allows you to have interesting statistical and financial insights taken from the symbol on chart and compared to those of another symbol you desire (in this case the metrics taken from the perpetual future ETHUSDT are compared to those taken from the perpetual future BTCUSDT, used as a proxy for the direction of cryptocurrency market) By enabling "prevent repainting", the data retrieved from the compared symbol won't be on real time but they will static since they will belong to the previous closed candle Here are the metrics you can have by storing data from a variable period of candles (by default 51): ✓ Variance (of the symbol on chart in GREEN; of the compared symbol in WHITE) ✓ Standard Deviation (of the symbol on chart in OLIVE; of the compared symbol in SILVER) ✓ Yelds (of the symbol on chart in LIME; of the compared symbol in GRAY) → yelds are referred to the previous close, so they would be calculated as the the difference between the current close and the previous one all divided by the previous close ✓ Covariance of the two datasets (in BLUE) ✓ Correlation coefficient of the two datasets (in AQUA) ✓ β (in RED) → this insight is calculated in three alternative ways for educational purpose (don't worry, the output would be the same). WHAT IS BETA (β)? The BETA of an asset can be interpretated as the representation (in relative terms) of the systematic risk of an asset: in other terms, it allows you to understand how big is the risk (not eliminable with portfolio diversification) of an asset based on the volatilty of its yelds. We say that this representation is made in relative terms since it is expressed according to the market portfolio: this portfolio is hypothetically the portfolio which maximizes the diversification effects in order to kill all the specific risk of that portfolio; in this way the standard deviation calculated from the yelds of this portfolio will represent just the not-eliminable risk (the systematic risk), without including the eliminable risk (the specific risk). The BETA of an asset is calculated as the volatilty of this asset around the volatilty of the market portfolio: being more precise, it is the covariance between the yelds of the current asset and those of the market portfolio all divided by the variance of the yelds of market portfolio. Covariance is calculated as the product between correlation coefficient, standard deviation of the first dataset and standard deviation of the second asset. So, as the correlation coefficient and the standard deviation of the yelds of our asset increase (it means that the yelds of our asset are very similiar to those of th market portfolio in terms of sign and intensity and that the volatility of these yelds is quite high), the value of BETA increases as well According to the Capital Asset Pricing Model (CAPM) promoted by William Sharpe (the guy of the "Sharpe Ratio") and Harry Markowitz, in efficient markets the yeld of an asset can be calculated as the sum between the risk-free interest rate and the risk premium. The risk premium of the specific asset would be the risk premium of the market portfolio multiplied with the value of beta. It is simple: if the volatility of the yelds of an asset around the yelds of market protfolio are particularly high, investors would ask for a higher risk premium that would be translated in a higher yeld. In this way the expected yeld of an asset would be calculated from the linear expression of the "Security Market Line": r_i = r_f + β*(r_m-r_f) where: r_i = expected yeld of the asset r_f = risk free interest rate β = beta r_m = yeld of market portfolio I know that considering Bitcoin as a proxy of the market portfolio involved in the calculation of Beta would be an inaccuracy since it doesn't have the property of maximum diversification (since it is a single asset), but there's no doubt that it's tying the prices of altcoins (upward and downward) thanks to the relevance of its dominance in the capitalization of cryptocurrency market. So, in the lack of a good index of cryptocurrencies (as the FTSE MIB for the italian stock market), and as long the dominance of Bitcoin will persist with this intensity, we can use Bitcoin as a proxy of the market portfolio
Pine Script® indicator
by Drun30
2
Consolidation Ranges [kingthies] Consolidation Range Analysis Published by Eric Thies, January 2021 █ Indicator Summary This tool calculates, analyzes and plots the visualization of a relative range over a given period of time By adding to charts, users are enabled to see the impulsive nature of market cycles, along with their efforts to consolidate thereafter The default period is 30, and should be adjusted to users preference The default input is the current close price, on the chosen timeframe of the chart █ Script Source // //@version=4 //© kingthies || This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org study("Consolidation Ranges ", shorttitle="CR ", overlay=true) // !<------ User Inputs -----> src = input(close, title='Range Input (Default set to Close'), lengthEMA=input(30,title='Length'),zoneToggle = input(true, title="Toggle Zone Highlights"), iCol = color.new(#FFFFFF, 100), // !<---- Declarations & Calculations ---- > trndUp = float(na),trndDwn = float(na), mid = float(na), e = ema(src, lengthEMA) trndUp := src < nz(trndUp ) and src > trndDwn ? nz(trndUp ) : high, trndDwn := src < nz(trndUp ) and src > trndDwn ? nz(trndDwn ) : low, mid := avg(trndUp, trndDwn) // !< ---- Plotting -----> highRange = plot(trndUp == nz(trndUp ) ? trndUp : na, color=color.white, linewidth=2, style=plot.style_linebr, title="Top of Period Range") lowRange = plot(trndDwn == nz(trndDwn ) ? trndDwn : na, color=color.white, linewidth=2, style=plot.style_linebr, title="Bottom of Period Range") xzone = plot(zoneToggle ? src > e ? trndDwn : trndUp : na, color=iCol, style=plot.style_circles, linewidth=0, editable=false) fill(highRange, xzone, color=color.lime,transp=70), fill(xzone, lowRange, color=color.red,transp=70) //
Pine Script® indicator
by kingthies
13
Krowns 10 PACK Combo (5 EMAs, 5 SMAs) - v2Version 2 - Krowns Crypto 10 pack moving average set - written by "Kick Back Time" also known as Mr.Scrogers Neighborhood ...after receiving a lot of likes from the first version I thought I would go ahead and put out the updated version that I've been using There's a few things I've changed to make it easier to adapt to. This set is very similar to what Krown uses - I rarely look at the 100 SMA, but I do like the 128 SMA, so I made it default over the 100... It's all adjustable in values, colors, line thicknesses, etc... it's all good Tweeks/Improvements: 1) now has a shorter overlay title so it takes up less space on the chart and is less distractive 2) the 30, 50 and 128 SMA's are now default pink which stand out well and are easier to associate as SMA's
Pine Script® indicator
by Kick_Back_Time
1