POWER INDICATOR PREMIUM WITH MANY FUNCTIONS BY OeZkAn
👑 POWER INDICATOR PRO PREMIUM V24: Predictive Intelligence Meets Precision ExecutionThe POWER INDICATOR PRO PREMIUM V24 is the pinnacle of algorithmic trading intelligence. This system transcends traditional indicators by utilizing a sophisticated framework of advanced mathematical equations to predict the impending trend direction before the market moves. It combines Smart Money Concepts (SMC), Multi-Timeframe (MTF) convergence, and Dynamic Risk Management to deliver unparalleled clarity and execution confidence.If you seek a trading partner that provides leading, predictive signals and high-probability entries, this system is your definitive solution.
🧠 The Core Element: Predictive Market Context & Directional ForecastThe foundational strength of the POWER INDICATOR is its ability to forecast the market's bias through advanced quantification:
🚀 Directional Pre-Cognition (LRC & Mathematical Models):The system utilizes the Linear Regression Curve (LRC) and proprietary statistical models as its core mathematical engine. This process extrapolates the probable trend path and generates a Directional Forecast for the coming bars, enabling you to anticipate moves rather than react to them. This forecast serves as the ultimate bias filter.
🧠 The Convictional Filter: Quantifying Probability ($60\%$ Confidence):This filter is our proprietary Probability Brain. It eliminates market noise by forcing convergence across multiple high-level factors (MTF agreement, Momentum, SMC levels).High-Conviction Threshold: Independent analysis confirms that the Conviction Filter provides an exceptionally high win rate and signal quality starting at just $60\%$. Setting your threshold at this level ensures you only consider trades where the predictive mathematical components are in strong alignment.
🌊 FVG & GP Predictive Zones:The system automatically identifies and projects critical Fair Value Gaps (FVG/LSOB) and the Golden Pocket (GP) Re-Test Zone. These zones are algorithmically identified as high-probability targets for pullbacks and reversals, providing a clear map of where liquidity will be sought.
💡 The Convictional Trading Workflow: A 3-Step Guide to ExecutionContext Check: Confirm the LRC Directional Forecast aligns with your trade and the Conviction Score Meter is above your desired threshold (minimum $60\%$).Optimal Entry: Wait for the signal to trigger at a high-R:R entry point (GP, FVG, or Aggressive Impulse), guided by your chosen trading mode.Dynamic Management: Let the system handle risk, utilizing Structural SL and automatic Multi-Method Trailing Stops post-TP1.
🎯 Mode Selection: Matching Strategy to MarketThe indicator's power lies in its Modularity. Selecting the correct mode is crucial for optimizing your results.Trading StyleRecommended ModesPrimary Rationale & Entry LogicHigh-Frequency ScalpingCT Scalp-OnlyDesigned for counter-trend entries in a pullback towards the Golden Pocket (GP). Uses tighter SL/TP multipliers for quick profit-taking. (Fast, high-R:R)ATR Channel Scalp (ACS)Utilizes volatility channels (ATR bands) for quick mean-reversion trades when price overextends.Strategic Day Trading / Swing TradingUltimate Fusion Mode (UFM)The highest probability mode. Best for catching major shifts confirmed by SMC (LRC, GP, FVG, MSS). Waits for a deep, high-R:R Re-Test Entry.Haupttrend & Scalp (Kombi)Excellent general-purpose mode. Focuses on trend continuation but allows for high-R:R pullback entries at key levels (GP/FVG). (Balanced)FVG Mitigation Entry (FME)Ideal for SMC traders. Waits for the price to precisely re-test and mitigate an unmitigated Fair Value Gap (FVG) or Liquidity Sweep (LSOB) zone before entry.Breakout & Momentum TradingBand Breakout-OnlyTriggers an entry only when price decisively breaks outside the SMA Volatility Bands (configurable). Filtered by momentum requirements.Dynamic Range Expansion (DRE)Specifically detects low-volatility consolidation before an anticipated high-momentum expansion phase.
🔔 The Master Alert System: Your Execution EdgeThe powerful Alert functionality ensures you can monitor multiple assets and timeframes without being glued to the screen.1.
✅ Dynamic MASTER ALARM (Compact Text)The core alert uses a compact, dynamic JSON/text message that contains all necessary information for quick execution:Action: BUY / SELLMode Used: Conviction Score: Key Level: 2. LRC/GP Combo-Alert (High-R:R)This is the most valuable alert for strategic traders. It triggers only when the LRC direction is confirmed and the price enters the Golden Pocket (GP) Re-Test Zone, indicating an optimal high-R:R pullback opportunity.Final Note: To maximize the predictive power, ensure the useConvictionFilter is set to a minimum of $60\%$ and the useStructureSL is activated to protect your capital with intelligent stop placement.Stop reacting. Start predicting. Activate the POWER INDICATOR PRO PREMIUM V24 and lead the market today!
⚠️ IMPORTANT NOTICE: Full Version vs. Public Release
This current version, the POWER INDICATOR PRO PREMIUM V24 (Full Feature Test Release), is publicly available only for demonstration and testing purposes to showcase the system's full potential (including all 12 Dynamic Modes and the advanced Convictional Filter).
A slightly streamlined Public Version will remain permanently free and accessible to the community. However, the Full Premium Version—featuring the complete 12-Mode selection, all predictive functionalities, and crucial additions such as enhanced, precise Entry/Exit Labels and Dynamic Stop Loss/Take Profit Labels directly calculated by the algorithm—will soon be available exclusively for subscribers.
Test the power now and be ready for the subscription launch!
Table
MA Strength Indicator EnhancedThe "MA Strength" is an indicator that measures market trend strength or (in the case of forex pairs) the relative strength of individual currencies based on up to five different moving averages (MA). It offers multiple calculation methods, such as simple summation, normalized value, or measuring ATR/percentage distance from the price. The results are summarized in a clear table, and it provides customizable alerts for trend changes or shifts in currency strength. The high level of configurability (e.g., MA weighting, "all MA alignment" requirement) allows for fine-tuning the strategy.
💬 Interpreting the Table (Top Rows)
The top row of the table shows the final output of the indicator. This changes according to the set "Table Mode".
Trend Mode: The top row shows the final, aggregated trend status (e.g., "BULLISH", "NEUTRAL") and the corresponding "Trend Value". This is the value the indicator compares to its thresholds.
Forex Mode: (Only on 6-character pairs): The top two rows show the strength of the Base currency and the Quote currency separately.
Calculation of the top rows:
The indicator calculates the individual score of all active MAs (according to the chosen method).
Trend Value: This is the final value calculated from the scores.
If "Enable Averaging" is ON, this will be the average of the scores (e.g., MA1 score is 5.0, MA2 score is 7.0 -> Trend Value is 6.0).
If averaging is OFF, this will be the sum of the scores (e.g., 5.0 + 7.0 = 12.0).
Forex Calculation: "Forex Mode" uses this "Trend Value". If the Trend Value is +6.0 (on an EURUSD pair):
The Base currency (EUR) value will be +6.0.
The Quote currency (USD) value will be -6.0.
The indicator compares these values to the thresholds to determine the "STRONG" status for EUR and "WEAK" status for USD.
📊 Calculation Methods
The indicator can calculate trend strength using 5 methods. The final "Trend Value" is derived from the results of these calculations.
Sum:
Description: Simply adds up the individual scores of all enabled moving averages (MA).
Formula: If the price is above an MA, it gets the "Score Above" value (e.g., +2.0); if below, it gets the "Score Below" value (e.g., -2.0).
Example: Result = (MA1 score) + (MA2 score) + ...
Normalized:
Description: Takes the sum obtained by the "Sum" method and converts it to a scale between -100% (maximally bearish) and +100% (maximally bullish). It takes into account the maximum possible positive and negative scores.
Formula: Result = (Total Score / Max Possible Score) * 100
Percentage Distance:
Description: This method also considers distance. The further the price is from the MA in percentage terms, the higher the score.
Formula: MA Score = (|Close Price - MA| / MA * 100) * Weight (The "Weight" is the "Score Above/Below" value set in settings).
ATR Distance:
Description: Similar to percentage distance, but normalizes the distance using volatility via ATR (Average True Range).
Formula: MA Score = (|Close Price - MA| / ATR) * Weight
Candle Count:
Description: Counts how many consecutive candles have been above or below the MA. It multiplies this number by the set weight.
Formula: MA Score = (Number of consecutive candles) * Weight
⚙️ Settings Options
Moving Averages (MA 1-5)
For each moving average, you can set:
Enable MA: Turn the specific MA on or off.
Type: The type of moving average (SMA, EMA, WMA, etc.).
Period: The period of the MA (e.g., 50, 200).
Score Above / Below: The most important setting. This defines the "weight" of the MA in the calculation. In "Sum" mode, this is a fixed score; in distance-based modes, this is a multiplier (weight). It is advisable to write a positive number for "Score Above" and a negative number for "Score Below".
Calculation Settings
Enable Averaging: If this is on, the indicator shows the average of the active MA scores, not the total score.
Exception: This function is not available in "Normalized" mode.
Require All MA Alignment: This is a strict filter. If enabled, the indicator only gives a "BULLISH" (or "STRONG") signal if the price is above all enabled moving averages. Similarly, a "BEARISH" signal only occurs if the price is below all moving averages. If the price is on the opposite side of even just one MA (e.g., above 4, below 1), the status becomes "NEUTRAL", regardless of the scores.
Strength / Trend Thresholds
Enable Extra Levels: If active, statuses are expanded: "EXT. BULLISH" / "EXT. BEARISH" (Trend mode) or "EXT. STRONG" / "EXT. WEAK" (Forex mode). This indicates stronger, overbought/oversold conditions.
Threshold setting: The thresholds (e.g., "Strong Above - ATR") determine when the calculated value counts as a "STRONG" or "WEAK" status.
🔢 Setting Thresholds via Calculation
If "Enable Averaging" is OFF, the "Trend Value" shown in the table will be the sum of the individual MA scores. Therefore, we must define the threshold by adding up the minimum expected performance from each moving average. This allows us to set different expectations for short, medium, and long-term averages.
Step 1: Determine MA weights
In our example, we use 3 active MAs with the following weights (Score Above values):
MA1 (Short): Weight = +2
MA2 (Medium): Weight = +3
MA3 (Long): Weight = +4
Step 2: Determine the minimum expected distance
Define a minimum distance expected from each MA to trigger a "Strong" signal.
Step 3: Calculate target scores and the final threshold
Note: If "Enable Averaging" is ON, the resulting value (sum of target scores) must be
averaged to get the final threshold.
Example 1: ATR Distance
-Goal: I want a "Strong" signal if the price is...
...at least 1.0 ATR above MA1 (Short),
...at least 1.5 ATR above MA2 (Medium),
...and at least 2.0 ATR above MA3 (Long).
-Calculation (Expected Distance * Weight):
MA1 Target Score: 1.0 * 2 = 2.0
MA2 Target Score: 1.5 * 3 = 4.5
MA3 Target Score: 2.0 * 4 = 8.0
-Final Threshold (Sum of Target Scores): 2.0 + 4.5 + 8.0 = 14.5
-Setting: Set "Strong Above - ATR" threshold to 14.5.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold: 4.8 (14.5 / 3 = 4.83).
Example 2: Percentage Distance
-Goal: I want a "Strong" signal if the price is...
...at least 0.5% above MA1,
...at least 1.0% above MA2,
...and at least 1.5% above MA3.
-Calculation (Expected Distance * Weight):
MA1 Target Score: 0.5 * 2.0 = 1.0
MA2 Target Score: 1.0 * 3.0 = 3.0
MA3 Target Score: 1.5 * 4.0 = 6.0
-Final Threshold (Sum): 1.0 + 3.0 + 6.0 = 10.0
-Setting: Set "Strong Above - Percentage" threshold to 10.0.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold.
Example 3: Candle Count
-Goal: I want a "Strong" signal if...
...at least 3 consecutive candles are above MA1,
...at least 5 consecutive candles are above MA2,
...and at least 10 consecutive candles are above MA3.
-Calculation (Expected Candle Count * Weight):
MA1 Target Score: 3 * 2.0 = 6.0
MA2 Target Score: 5 * 3.0 = 15.0
MA3 Target Score: 10 * 4.0 = 40.0
-Final Threshold (Sum): 6.0 + 15.0 + 40.0 = 61.0
-Setting: Set "Strong Above - Candle" threshold to 61.0.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold.
Example 4: Sum
In this mode, distance does not matter, only whether the price is above or below the MA.
-Goal: "Strong" signal if the price is above the long-term averages, but can be below the short-term (MA1).
MA1 (Short): Can be below (Weight: -2.0)
MA2 (Medium): Must be above (Weight: +3.0)
MA3 (Long): Must be above (Weight: +4.0)
-Calculation: -2.0 + 3.0 + 4.0 = 5.0
-Setting: Set "Strong Above - Sum" threshold to 5.0.
If it must be above all three moving averages, the threshold would be 2.0 + 3.0 + 4.0 = 9.0.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold.
Example 5: Normalized
The basic logic is similar to the "Sum" method.
-Goal: "Strong" signal if price is above MA2 and MA3, but potentially below MA1.
-Calculation: Target Sum: 5.0. Max Possible Score (above all): 9.0.
-Threshold: (5.0 / 9.0) * 100 = 55.5
In this calculation method, averaging cannot be set.
The Usage of the "ATR %" Row
The "ATR %" row shows the percentage movement of an average candle.
How to use this with "Percentage Distance" mode:
This number gives a baseline. It helps decide if the "Percentage Distance" threshold is realistic.
Example: You see the "ATR %" value is hovering around 1.2%. This means a "normal" candle moves about 1.2%.
If you set the Percentage threshold to 0.5%, it is too low. The indicator will constantly give a "Strong" signal because even average movement (noise) exceeds the threshold.
Correct Usage: If "normal" movement is 1.2%, then a "strong" movement (trend) needs to be significantly larger. For example, set the threshold to double the ATR %: 2.4 (2 * 1.2). Thus, you only get a "Strong" signal if the movement is twice the average volatility.
Supplementary Information
Rounding Differences:
The numbers displayed in the table and the precision of calculations in the background differ.
Table Display: The indicator rounds numbers to two decimal places in the table. So, if the value is 0.996, the table shows 1.00 (rounded up).
Internal Calculation: The background calculation uses much higher precision. When determining status (STRONG vs NEUTRAL), the program compares the precise, unrounded value to the threshold.
Result: Due to rounding, it may happen that if the threshold is 1.00 and the table shows 1.00, the status flickers between Strong and Neutral. If this is bothersome, it is advisable to set a slightly lower threshold (e.g., 0.98).
🔔 Alert Settings
The indicator can send alerts when the status changes.
Alert Method:
Trend: Alerts when the main trend status changes (e.g., from "NEUTRAL" to "BULLISH"). You can specify which direction to alert for (e.g., only "BULLISH").
Forex: Works only on 6-character forex pairs. You can set separate alerts for the Base or Quote currency.
Forex Strength Level: You can specify at which status level to alert (e.g., "WEAK" or "EXT. STRONG").
📈 Trading Tips
Trend Confirmation: Use the "BULLISH" / "BEARISH" status to confirm your existing strategy (e.g., breakouts, bounces off support).
Forex Pairing: In Forex mode, look for pairs where the Base currency is "STRONG" and the Quote currency is "WEAK" (or "EXT. STRONG" / "EXT. WEAK") for a long position.
Short Position: Reverse the above (Base: WEAK, Quote: STRONG).
Today Range Calculator1. Indicator Name
Today (Today’s Volatility)
2. One-line Introduction
Displays real-time 30-day historical volatility (HV30) as a compact table on the chart, helping traders instantly assess market risk levels.
3. General Overview
Today ↑↓ is a lightweight informational widget that calculates and displays the 30-day Historical Volatility (HV30) of the asset in real time.
Using logarithmic returns over the past 30 periods, the script computes variance and then annualizes it to express volatility as a percentage (%) per year.
The result is shown in a clean 1x1 table cell, which can be positioned anywhere on the chart—top/bottom, left/right—depending on your preference.
This makes it easy to quickly evaluate whether the current market is high-risk (volatile) or stable, without cluttering the chart.
It’s especially useful for position sizing, risk management, volatility-based entry/exit decisions, and as a filter for breakout strategies.
Built with performance in mind, the script uses minimal system resources and can be used alongside any indicator or strategy without interference.
4. Key Advantages
📈 Real-time HV30 Display
Calculates and displays 30-day historical volatility using annualized log return variance.
📍 Custom Table Positioning
Place the volatility display in any corner of the chart for optimal visibility.
🧮 Accurate Log Return Calculation
Uses logarithmic returns to ensure precise volatility representation over time.
🎯 Quick Market Sentiment Read
Helps you determine at a glance whether the asset is in a calm or volatile environment.
🧼 Minimalist Design
Clean 1-cell table format keeps your chart readable and organized.
🚀 Ultra-Lightweight Script
Runs efficiently with negligible impact on chart performance.
📘 Indicator User Guide
📌 Basic Concept
Today ↑↓ calculates 30-day Historical Volatility (HV30) by analyzing the asset’s log returns over the past 30 bars.
The result is annualized and shown as a percentage to reflect volatility in standardized terms.
Useful for gauging risk levels and strategy suitability in current market conditions.
⚙️ Settings Explained
Table Position: Choose where the volatility table appears:
Top Left / Top Right / Bottom Left / Bottom Right
📈 High Volatility Example
HV30 > 50% indicates a volatile environment
Suggests wider stop-losses, cautious position sizing, or favoring breakout strategies
📉 Low Volatility Example
HV30 < 15% suggests a calm market or range-bound behavior
Useful as a signal for upcoming volatility expansions or breakout preparations
🧪 Recommended Use Cases
Position Sizing: Scale position size based on HV30 readings
Strategy Filter: Activate certain systems only when volatility meets predefined conditions
Breakout Timing: Identify low-volatility zones as potential breakout opportunities
🔒 Precautions
This indicator does not generate buy/sell signals; it is a volatility reference tool
HV thresholds vary across asset classes—adjust interpretation accordingly
Since HV30 is historical, it may lag during rapid market changes
Market Echo Screener [BigBeluga]
The Market Echo Screener is a structured multi-asset dashboard capable of tracking up to 15 symbols simultaneously .
Designed to condense complex market data into an actionable format. Each column represents a specialized calculation, giving traders insight into signals, phases, retests, and volatility — all updated in real time.
For each symbol, it displays a full set of analytics: trend signals, take profit progression, wave structure, equilibrium pulls, volatility-adjusted flows, smart band retests, volatility regimes, and live price context — all condensed into one unified table.
Instead of flipping through multiple charts, traders get an instant overview of market dynamics across an entire watchlist, making it easier to spot alignment and high-probability opportunities.
⬤ Trend Signals
This column is powered by a low-pass digital trend filter that smooths short-term fluctuations and isolates directional momentum.
It produces Buy and Sell signals when price crosses adaptive thresholds relative to the smoothed baseline. Stronger “＋” signals appear when slope acceleration or momentum divergence confirms additional conviction.
• Uses recursive filtering to eliminate noise.
• Signal strength is determined by the magnitude of deviation from the baseline.
• Tracks how many bars back the signal occurred, using a bar-counting algorithm.
• Combines both normal and power signals to reflect phases of market conviction.
⬤ TPs (Take Profits)
The take profit ladder is generated through an adaptive volatility-projection model .
When a signal fires, projected levels are based on volatility-weighted extensions. Each level (TP1–TP6) represents an incrementally wider confidence band, dynamically recalculated with every new bar.
• Uses volatility-normalized ranges for TP distances.
• Level activation is sequential, progressing as price reaches thresholds.
• Reset occurs when opposite signals are detected.
• Higher TPs imply extended momentum runs, while early TP triggers highlight conservative exits.
⬤ ActionWave
The ActionWave column applies a dual-smoothing algorithm combining custom MA stacks and polynomial regression to capture the underlying wave structure.
It identifies macro phases (Bullish ∆ / Bearish ∇) and flags retests when price folds back into the average after expansion.
• Wave slope is calculated using gradient differentials.
• Retests are confirmed within a bar-window threshold (e.g., 20–25 bars).
• Distinguishes continuation from exhaustion by analyzing whether slope remains positive/negative.
• Provides a clean map of trend rhythm without intrabar noise.
⬤ Magnet
The Magnet measure calculates a dynamic equilibrium band around price.
By averaging the midpoints of recent high–low ranges and weighting them by volatility, it defines a “fair zone” where price tends to trend and mean-revert.
• Bullish/Bearish status is derived from price position relative to the equilibrium mean.
• Retests occur when price leaves the zone and then re-enters within a tolerance band.
• Incorporates a mean-reversion index to highlight strength of pull.
• Acts as a gravitational anchor, showing when price is likely to snap back.
⬤ FlowTrend
FlowTrend is calculated using volatility and noise adjusted envelope bands .
It determines the active market flow by testing whether price consistently holds above or below the smoothed envelope. Retests are logged when price touches the envelope and respects trend direction.
• Bands expand/contract based on ATR and rolling variance.
• Flow state = Bullish if closing above upper envelope, Bearish if below.
• Retests validated only if trend slope and band alignment remain intact.
• Helps identify continuation setups by filtering false flips.
⬤ Smart Bands
Smart Bands employ an adaptive trailing stop framework that shifts with volatility and momentum.
Price interaction with these bands is tracked for bullish (∆) or bearish (∇) retests, highlighting whether the current move has revalidated at its volatility boundary.
• Bands derived from trailing volatility-adjusted stops.
• Upward retest fires when price tests support bands during uptrend.
• Downward retest occurs when resistance bands are tapped in downtrend.
• Provides structured “confirmation points” that validate signals.
⬤ Volatility
Volatility is measured via a hybrid standard deviation logic .
First, the standard deviation of closing prices over 10 bars is scaled by a factor, then normalized against its own 20-bar rolling standard deviation. The result is converted into a 0–100 index, producing three regimes:
❄️ Calm (<50): low dispersion, mean-reversion conditions dominate.
⚠️ Elevated (50–70): directional expansion likely, watch for breakout tension.
💥 Explosive (>70): strong dispersion, trend-following setups favored.
• Uses layered smoothing to dampen noise.
• Normalization ensures comparability across different assets.
• Acts as a meta-filter for selecting strategy type (range vs. momentum).
⬤ Price
The price column displays the latest close rounded to the nearest tick size.
It is color-coded by candle bias: green for bullish closes, red for bearish closes.
• Tick normalization ensures clean display across assets with different decimal precision.
• Color-coding gives instant sentiment context.
• Serves as the anchor reference for all other metrics in the row.
The Market Echo Screener is not a simple signal table — it’s a layered analytics framework.
Each column is driven by technical calculations: smoothing filters, volatility projections, equilibrium models, and adaptive band logic. Together, they create a unified lens on multiple assets, allowing traders to rapidly identify alignment, filter out noise, and focus on the clearest opportunities.
Trading ScorecardChecklist, note, scorecard, custom table. I originally created the table for currency strength analysis, but it can be used as a checklist. You can also create your own scoring system. The number of columns and rows can be changed. The color and size of the table are customizable.
Customizable Dashboard (SIMPLE)This is a custom table where you can track any ticker and it's daily change. color coded to make things easy.
MA Dist% Screener [Pineify]MA Distance Screener: Multi-Asset Market Scanner for TradingView
Screen multiple symbols and multiple timeframes on TradingView with the MA Distance Screener. Compare asset prices to flexible moving average types. Visual table view, custom assets, timeframes, and MA types. Supercharge your TradingView screener, optimize your workflow, and catch opportunities across assets in real time.
Key Features
Screen up to 10 custom symbols simultaneously across four configurable timeframes.
Choose from multiple Moving Average types: EMA, SMA, WMA, HMA, RMA, VWMA for flexible market context.
Visualize real-time % distance between price and moving average per asset/timeframe in a clean, color-coded table.
Highly customizable: Set your own symbol list, timeframes, MA length and type.
Alerts for symbol/MA deviations—instantly see overbought/oversold status with intuitive background coloring.
Optimized for crypto, FX, and traditional assets – all asset types supported.
How It Works
The MA Distance Screener acts as a dynamic multi-symbol, multi-timeframe scanner. For each selected symbol and timeframe, it calculates the percentage distance between the latest close price and the selected type of moving average (EMA/SMA/etc.). This is achieved by making secure `request.security` calls per asset/timeframe combination, retrieving updated values for each matrix cell. The computed distance (%) is displayed in a color-coded table: a positive value signals price above the MA (potential trend strength), while negatives indicate price below the MA (potential weakness or retracement). Custom colors highlight extreme overbought/oversold readings for quick visual cues.
Trading Ideas and Insights
Quickly spot assets showing the largest deviation from their moving averages – ideal for mean reversion or trend-following entries.
Identify clusters of assets and timeframes lining up in overbought or oversold states; optimize entries with multi-timeframe confirmation.
Scan the market in one glance—reduce chart-hopping and never miss an opportunity when multiple assets align for signals.
The ability to scan distance-to-MA across assets and periods gives traders a statistical edge, surfacing hidden pivots, breakouts, and mean-reversion trades that single-chart analysis may miss.
How Multiple Indicators Work Together
At its core, this screener allows the trader to configure what gets scanned—pick your top 10 assets and favorite 4 timeframes. With each matrix cell, the selected MA (e.g., 14-period EMA) is recalculated, and the current price's distance (%) from that value is computed. By offering six distinct moving average algorithms (EMA, SMA, RMA, HMA, WMA, VWMA), traders can choose their preferred method, adapting the screener for trend, swing, or mean-reversion style. All values are visualized in a single table, creating a true "market dashboard" effect for real-time cross-asset assessment.
Unique Aspects
True cross-asset, cross-timeframe screening in a unified table—rare for Pine Script indicators.
Full flexibility—customizable list of assets, timeframes, and MA parameters to suit any market/trading plan.
Intuitive color-coding and table display eliminates guesswork, enabling “at-a-glance” screening and rapid decision-making.
Efficient, optimized Pine v6 codebase—minimal lag even with 40+ concurrent streams.
How to Use
Add the indicator to your TradingView chart (overlay: off, use a clean chart).
In the settings panel, enter up to 10 symbols (tickers) you want to screen—crypto, stocks, FX, or indices.
Set the 4 timeframes to scan (e.g., 1m, 5m, 15m, 1h), plus your preferred moving average length and type.
Review the results in the pop-up table, where each cell shows "% Distance" from MA for each symbol/timeframe.
Monitor table background/text color for overbought vs. oversold cues.
Customization
Symbol List: Track any asset by typing its TradingView ticker.
Timeframes: Full freedom to select 4 timeframes per scan, from 1min to monthly.
MA Config: Choose period length and MA algorithm (classic or exotic types).
Color Themes: Easily spot signals with dynamic color backgrounds and customizable thresholds.
Conclusion
The MA Distance Screener is a must-have tool for systematic traders, portfolio managers, and retail chartists seeking a true multi-asset edge. With real-time cross-checking against multiple moving averages and timeframes, it empowers faster, more confident decision-making, while reducing chart fatigue and missed setups.
Unlock new insights, catch broad and hidden opportunities, and optimize your market workflow—all in a single TradingView panel.
Chartlense Dashboard (Data, Trend & Levels)Chartlense Dashboard (Data, Trend & Levels)
Overview
This dashboard is designed to solve two common problems for traders: chart clutter and the manual drawing of support and resistance levels . It consolidates critical data from multiple indicators into a clean table overlay and automatically plots the most relevant S&R levels based on recent price action. The primary goal is to provide a clear, at-a-glance overview of the market's structure and data.
It offers both a vertical and horizontal layout to fit any trader's workspace.
Key Concepts & Calculations Explained
This indicator is more than a simple collection of values; it synthesizes data to provide unique insights. Here’s a conceptual look at how its core components work:
Automatic Support & Resistance (Pivot-Based):
The dashed support (green) and resistance (red) lines are not manually drawn. They are dynamically calculated based on the most recent confirmed pivot highs and pivot lows . A pivot is a foundational concept in technical analysis that identifies potential turning points in price action.
How it works: A pivot high is a candle whose `high` is higher than a specific number of candles to its left and right (the "Pivot Lookback" is set to 5 by default in the settings). A pivot low is the inverse. By automatically identifying these confirmed structural points, the script visualizes the most relevant levels of potential supply and demand on the chart.
Relative Volume (RVOL):
This value in the table is not the standard volume. It measures the current bar's volume against its recent average (specifically, `current volume / 10-period simple moving average of volume`).
Interpretation: A reading above 2.0 (indicated by green text) suggests that the current volume is more than double the recent average. This technique is used to identify significant volume spikes, which can add conviction to breakouts or signal potential market climaxes.
Consolidated Data for Context:
Other values displayed in the table, such as the EMAs (9, 20, 200) , Bollinger Bands (20, 2) , RSI (14) , MACD (12, 26, 9) , and VWAP (on intraday charts), use their standard industry calculations. They are included to provide a complete contextual picture without needing to load each indicator separately, saving valuable chart space.
How to Use This in Your Trading
This dashboard is designed as a tool for confluence and context , not as a standalone signal generator. Here are some ways to integrate it into your analysis workflow:
As a Trend Filter: Before considering a trade, quickly glance at the EMAs and the MACD values in the table. A price above the key EMAs and a positive MACD can serve as a quick confirmation that you are aligned with the dominant trend.
To Validate Breakouts: When the price is approaching a key Resistance level (red pivot line), watch the RVOL value . A reading above 2.0 on the breakout candle adds significant confirmation that the move is backed by strong interest. The same logic applies to breakdowns below a support level.
To Spot Potential Reversals: Confluence is key. For example, if the price is testing a Support level (green pivot line) AND the RSI in the table is approaching oversold levels (e.g., near 30), it can signal a higher probability reversal setup.
About This Indicator
This indicator was developed by the team at ChartLense to help traders declutter their charts and focus on the data that matters. We believe in making complex analysis more accessible and organized. We hope this free tool is a valuable addition to your trading process.
Quarterly Dollar Volume Table (Dark Mode Optimized) Ogdn AmesThis is a visual reporting tool that gives you a historical view of how much dollar volume a stock had each quarter. Useful for spotting seasonal volume trends or changes in trading activity.
Think of it like an accountant's spreadsheet for stock liquidity—just with better automation and no coffee stains.
Futures Margin Lookup TableThis script applies a table to your chart, which provides the intraday and overnight margin requirements of the currently selected symbol.
In this indicator the user must provide the broker data in the form of specifically formatted text blocks. The data for which should be found on the broker website under futures margin requirements.
The purpose for it's creation is due to the non-standard way each individual broker may price their margins and lack of information within TradingView when connected to some (maybe all) brokers, including during paper trading, as the flat percentage rule is not accurate.
An example of information could look like this
MES;Micro S&P;$50;$2406
ES;E-Mini S&P;$500;$24,053
GC;Gold;$500;$16500
NQ;E-Mini Nasdaq;$1,000;$34,810
FDAX;Dax Index;€2,000;€44,311
Each symbol begins a new line, and the values on that line are separated by semicolons (;)
Each line consists of the following...
SYMBOL : Search string used to match to the beginning of the current chart symbol.
NAME: Human readable name
INTRA: Intraday trading margin requirement per contract
OVERNIGHT: Overnight trading margin requirement per contract
The script simply finds a matching line within your provided information using the current chart symbol.
So for example the continuous chart for
NQ1!
would match to the user specified line starting with NQ... as would the individual contract dates such as NQM2025, NQK2025, etc.
NOTES:
There is a possibility that symbols with similar starting characters could match. If this is the case put the longer symbol higher in the list.
There is also a line / character limit to the text input fields within pinescript. Ensure the text you enter / paste into them is not truncated. If so there are 3 input fields for just this purpose. Find the last complete line and continue the remaining symbol lines on the subsequent inputs.
Multi TF Oscillators Screener [TradingFinder] RSI / ATR / Stoch🔵 Introduction
The oscillator screener is designed to simplify multi-timeframe analysis by allowing traders and analysts to monitor one or multiple symbols across their preferred timeframes—all at the same time. Users can track a single symbol through various timeframes simultaneously or follow multiple symbols in selected intervals. This flexibility makes the tool highly effective for analyzing diverse markets concurrently.
At the core of this screener lie two essential oscillators: RSI (Relative Strength Index) and the Stochastic Oscillator. The RSI measures the speed and magnitude of recent price movements and helps identify overbought or oversold conditions.
It's one of the most reliable indicators for spotting potential reversals. The Stochastic Oscillator, on the other hand, compares the current price to recent highs and lows to detect momentum strength and potential trend shifts. It’s especially effective in identifying divergences and short-term reversal signals.
In addition to these two primary indicators, the screener also displays helpful supplementary data such as the dominant candlestick type (Bullish, Bearish, or Doji), market volatility indicators like ATR and TR, and the four key OHLC prices (Open, High, Low, Close) for each symbol and timeframe. This combination of data gives users a comprehensive technical view and allows for quick, side-by-side comparison of symbols and timeframes.
🔵 How to Use
This tool is built for users who want to view the behavior of a single symbol across several timeframes simultaneously. Instead of jumping between charts, users can quickly grasp the state of a symbol like gold or Bitcoin across the 15-minute, 1-hour, and daily timeframes at a glance. This is particularly useful for traders who rely on multi-timeframe confirmation to strengthen their analysis and decision-making.
The tool also supports simultaneous monitoring of multiple symbols. Users can select and track various assets based on the timeframes that matter most to them. For example, if you’re looking for entry opportunities, the screener allows you to compare setups across several markets side by side—making it easier to choose the most favorable trade. Whether you’re a scalper focused on low timeframes or a swing trader using higher ones, the tool adapts to your workflow.
The screener utilizes the widely-used RSI indicator, which ranges from 0 to 100 and highlights market exhaustion levels. Readings above 70 typically indicate potential pullbacks, while values below 30 may suggest bullish reversals. Viewing RSI across timeframes can reveal meaningful divergences or alignments that improve signal quality.
Another key indicator in the screener is the Stochastic Oscillator, which analyzes the closing price relative to its recent high-low range. When the %K and %D lines converge and cross within the overbought or oversold zones, it often signals a momentum reversal. This oscillator is especially responsive in lower timeframes, making it ideal for spotting quick entries or exits.
Beyond these oscillators, the table includes other valuable data such as candlestick type (bullish, bearish, or doji), volatility measures like ATR and TR, and complete OHLC pricing. This layered approach helps users understand both market momentum and structure at a glance.
Ultimately, this screener allows analysts and traders to gain a full market overview with just one look—empowering faster, more informed, and lower-risk decision-making. It not only saves time but also enhances the precision and clarity of technical analysis.
🔵 Settings
🟣 Display Settings
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 10 symbol slots comes with a full set of customizable parameters :
Enable Symbol : A checkbox to activate or hide each symbol from the table.
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
RSI Length : Defines the period used in RSI calculation (default is 14).
Stochastic Length : Sets the period for the Stochastic Oscillator.
ATR Length : Sets the length used to calculate the Average True Range, a key volatility metric.
🔵 Conclusion
By combining powerful oscillators like RSI and Stochastic with full customization over symbols and timeframes, this tool provides a fast, flexible solution for technical analysts. Users can instantly monitor one or several assets across multiple timeframes without opening separate charts.
Individual configuration for each symbol, along with the inclusion of key metrics like candlestick type, ATR/TR, and OHLC prices, makes the tool suitable for a wide range of trading styles—from scalping to swing and position trading.
In summary, this screener enables traders to gain a clear, high-level view of various markets in seconds and make quicker, smarter, and lower-risk decisions. It saves time, streamlines analysis, and boosts overall efficiency and confidence in trading strategies.
Candle Body TableCandle Body Table is a lightweight, easy-to-use indicator that displays a live summary of candle “body strength” across multiple timeframes, along with how much time is left on each candle. Simply choose up to five timeframes (1, 5, 15, 30, and 60 minutes by default), adjust the table’s corner and font size, and you’ll always have a quick, at-a-glance view of:
OC (Body %): The percentage of the candle that’s composed of its body (|open – close| divided by high–low).
Strength: A label (Weak, Balanced, or Strong) based on the body percentage.
Time Left: How many minutes and seconds remain before the current candle closes.
The table updates in real time (using lookahead), coloring each row background green if that timeframe’s current candle is bullish, or red if it’s bearish. That way, you can instantly see which timeframes have strong momentum, which are balanced or weak, and exactly when each candle will finish.
Use Cases
Multi-Timeframe Momentum Check:
If you want to confirm that both your 1m and 5m candles have “Strong” bodies before entering a trade, Candle Body Table shows you that instantly. No more switching back and forth between charts—just glance at the table.
Time-Sensitive Entries/Exits:
Suppose you trade breakouts only at the close of a 5-minute candle. The “Time Left” column counts down so you know exactly when that candle is about to close—down to the second—letting you prepare your order.
Quick Visual Scan:
When markets are choppy, you may want to see which timeframes are weak or balanced rather than diving into each timeframe separately. If the 15m row says “Weak” (small body %), you might avoid taking a trend-following position at that moment.
Session Overlaps & Volatility Windows:
During London/N.Y. overlap or U.S. cash close, traders often check for stronger bodies on higher timeframes (e.g., 30m or 60m). The table immediately highlights if that timeframe’s candle body heats up, indicating increased volatility.
Swing-to-Scalp Transition:
If you typically scalp on 1m but only when the 15m candle is “Strong,” this table gives a green/red cue and a strength label. That makes it easier to wait patiently until multiple timeframes align.
FAQ
Q1. What does “OC” mean, and why is it shown as a percentage?
A1. “OC” stands for Open/Close difference. So it reflects how much of the candle’s total range (high–low) is taken up by its body(open-close). A high OC% means the candle body is large relative to its wick. In other words a strong Bullish/Bearish candle.
Q2. How is “Strength” determined?
A2. The script uses three buckets:
Weak if OC% ≤ 30%
Balanced if 30% < OC% ≤ 55%
Strong if OC% > 55%
This gives you a quick label instead of having to interpret raw percentages every time.
Q3. Why do some rows have a green background and others red?
A3. If close > open (bullish candle), that entire row’s background is shaded green(70%). If close < open (bearish candle), it’s shaded red(70%). If open = close (doji), there’s no background shade. This lets you instantly spot bullish vs. bearish candles across your chosen timeframes.
Q4. Will this repaint?
A4. No. Because each OHLC value is requested with lookahead_on, you see the live developing OHLC. However, once a candle closes, those values are final. The “Time Left” column dynamically changes throughout the bar but does not redraw past values.
Daily ADR TableDaily ADR Table Indicator
The Daily Average Daily Range (ADR) Table displays real-time volatility statistics directly on your chart. It shows both the current day's range and the historical average daily range as percentages of the current price, providing essential volatility metrics for trading decisions.
The indicator tracks today's range in real-time throughout the trading session using session-based calculations to ensure accuracy. It compares this against a customizable historical average (default 20 days, adjustable from 1-500 days) to help traders assess whether current volatility is above or below normal levels.
All values are displayed as percentages for easy comparison across different price levels and formatted to two decimal places for precision. The table position, text size, alignment, and colors are fully customizable with nine position options and professional default styling optimized for readability.
This indicator is valuable for day traders, swing traders, and market analysts who need to quickly assess current market volatility relative to historical norms. It assists in position sizing decisions, setting stop losses, and identifying potential breakout or consolidation scenarios based on range expansion or contraction.
Breaker Blocks & Unicorns (with Deviations) by RiseBreaker Block and Unicorns (with Deviations) - The Highest Probability ICT Pattern
This advanced indicator identifies and tracks ICT Breaker Blocks, while incorporating powerful supplementary features including Unicorn patterns and customizable deviation levels.
These patterns develop through a precise market structure sequence culminating in structural breaks. Following Breaker Block confirmation, users can optionally enable highly customizable deviation levels. Additionally, the indicator can scan active Breaker Blocks for overlapping Fair Value Gaps (FVGs) and Inverted Fair Value Gaps (IFVGs)-(also known as "Unicorns") that represent high-probability trading opportunities, highly regarded in the ICT community.
This comprehensive tool provides unmatched functionality for traders and analysts seeking to track, backtest, and execute Breaker Block strategies. With its extensive feature set and granular customization options, it delivers capabilities that surpass existing alternatives in the market.
What is an ICT Breaker Block?
To explain this, we must understand the ABC sequence that form this pattern. It consists of:
Initial range (from A -> B)
First break point, commonly called "Manipulation" (C)
Second break, which is when the pattern is formed.
Each of these "points" consist of pivot levels, with an adjustable strength.
Breaker Blocks are invalidated and made inactive if price breaks the "C point", or manipulation.
Unicorns
Unicorns are Fair Value Gaps or Inverted Fair Value Gaps that overlap a Breaker Block. Breakers have their associated Unicorn, which is updated until price retraces into said gap.
Standard Deviations
This indicator has options to display deviations based on Breaker Blocks:
Breaker Deviations -> using the initial range (A -> B).
Manipulation Deviations -> using the manipulation (B -> C).
Input Settings:
This tool offers a lot of customizable options, which could be overwhelming to some users. Below you will find an in-depth definition of every input's purpose, to complement the tooltips that can be found directly in the indicator's settings.
Mode ⚙️
Default -> Displays every Breaker Block pattern found.
Bullish -> Displays every Bullish Breaker Block found.
Bearish -> Displays every Bearish Breaker Block found.
Reversals -> Displays alternate Breaker Blocks (Bearish -> Bullish -> Bearish and so on).
This is paired with a Historical input, to select the amount of previous Breakers to display.
Extend 📏
Last -> This option will extend the most recent Breaker's drawings.
Specified -> Extend Breakers a preset amount of bars.
All -> Extend all active Breakers to the current bar.
None -> Never extend Breaker Blocks.
Each object has it's specific " offset " parameter, which defines the amount of bars to extend drawings past the current bar.
Parameters
This section defines the main parameters used to define the Breaker Block pattern.
Time Filter -> Optional session to filter Breakers based on time of day.
Pivot Strength -> Determines how many consecutive bars to the left of a pivot must be lower (for highs) or higher (for lows) to confirm it as a point.
Range Lookback -> Amount of ranges that the indicator will keep track for each direction.
Breaker Type -> Defines how a Breaker Block is displayed:
Range -> Entire initial range.
Consecutive -> Last consecutive onside candles (upclose for bullish, downclose for bearish).
Last -> Last onside candle.
Breaker Offset -> Amount of bars to extend Breaker Blocks past the current bar.
Use Candle Bodies? -> Use bar open to close rather than high to low.
Require Candle Close? -> Use bar close to form Breaker Blocks.
Remove After Invalidation? -> Remove drawings for invalidated Breakers.
Style
Breaker Block boxes styling based on directions.
Optional Middle Line and styling.
Optional Signals for Breaker Block formation:
Triangle label with adjustable sizing on the formation bar.
Line with custom styling at breakout point to the formation bar.
Unicorn Fair Value Gaps
Checkbox to display Unicorns with adjustable "FVGs", "IFVGs", or "Both" types.
Overlap Threshold -> Distance away from Breaker to still consider an "overlap".
Unicorn Offset -> Amount of bars to extend unicorn gaps past the current bar.
Lines styling.
Optional Middle Line and styling.
Include Volume Imbalances? -> Include adjacent VIs as part of Fair Value Gaps.
Extend until Reached? -> Extend Unicorn drawings until price reaches them.
Deviations
Checkbox to display Standard Deviations with adjustable types and levels.
Lines styling.
Text size and positioning.
Extend until Reached? -> Extend deviation lines until price reaches them.
Text
Label contents:
Default -> "+/- Breaker".
Abbreviation -> "+/- BB".
None -> No text.
Size .
Font (Default or Monospace) and Format (None, Italic or Bold).
Align -> vertical and horizontal positioning.
This indicator is for educational and informational purposes only. Past performance and historical patterns do not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own analysis and consider your financial situation before making any trading decisions. The identification of patterns does not constitute trading advice.
For any additional questions and/or feedback related to this indicator, users can comment below!
FvgPanel█ OVERVIEW
This library provides functionalities for creating and managing a display panel within a Pine Script™ indicator. Its primary purpose is to offer a structured way to present Fair Value Gap (FVG) information, specifically the nearest bullish and bearish FVG levels across different timeframes (Current, MTF, HTF), directly on the chart. The library handles the table's structure, header initialization, and dynamic cell content updates.
█ CONCEPTS
The core of this library revolves around presenting summarized FVG data in a clear, tabular format. Key concepts include:
FVG Data Aggregation and Display
The panel is designed to show at-a-glance information about the closest active FVG mitigation levels. It doesn't calculate these FVGs itself but relies on the main script to provide this data. The panel is structured with columns for timeframes (TF), Bullish FVGs, and Bearish FVGs, and rows for "Current" (LTF), "MTF" (Medium Timeframe), and "HTF" (High Timeframe).
The `panelData` User-Defined Type (UDT)
To facilitate the transfer of information to be displayed, the library defines a UDT named `panelData`. This structure is central to the library's operation and is designed to hold all necessary values for populating the panel's data cells for each relevant FVG. Its fields include:
Price levels for the nearest bullish and bearish FVGs for LTF, MTF, and HTF (e.g., `nearestBullMitLvl`, `nearestMtfBearMitLvl`).
Boolean flags to indicate if these FVGs are classified as "Large Volume" (LV) (e.g., `isNearestBullLV`, `isNearestMtfBearLV`).
Color information for the background and text of each data cell, allowing for conditional styling based on the FVG's status or proximity (e.g., `ltfBullBgColor`, `mtfBearTextColor`).
The design of `panelData` allows the main script to prepare all display-related data and styling cues in one object, which is then passed to the `updatePanel` function for rendering. This separation of data preparation and display logic keeps the library focused on its presentation task.
Visual Cues and Formatting
Price Formatting: Price levels are formatted to match the instrument's minimum tick size using an internal `formatPrice` helper function, ensuring consistent and accurate display.
Large FVG Icon: If an FVG is marked as a "Large Volume" FVG in the `panelData` object, a user-specified icon (e.g., an emoji) is prepended to its price level in the panel, providing an immediate visual distinction.
Conditional Styling: The background and text colors for each FVG level displayed in the panel can be individually controlled via the `panelData` object, enabling the main script to implement custom styling rules (e.g., highlighting the overall nearest FVG across all timeframes).
Handling Missing Data: If no FVG data is available for a particular cell (i.e., the corresponding level in `panelData` is `na`), the panel displays "---" and uses a specified background color for "Not Available" cells.
█ CALCULATIONS AND USE
Using the `FvgPanel` typically involves a two-stage process: initialization and dynamic updates.
Step 1: Panel Creation
First, an instance of the panel table is created once, usually during the script's initial setup. This is done using the `createPanel` function.
Call `createPanel()` with parameters defining its position on the chart, border color, border width, header background color, header text color, and header text size.
This function initializes the table with three columns ("TF", "Bull FVG", "Bear FVG") and three data rows labeled "Current", "MTF", and "HTF", plus a header row.
Store the returned `table` object in a `var` variable to persist it across bars.
// Example:
var table infoPanel = na
if barstate.isfirst
infoPanel := panel.createPanel(
position.top_right,
color.gray,
1,
color.new(color.gray, 50),
color.white,
size.small
)
Step 2: Panel Updates
On each bar, or whenever the FVG data changes (typically on `barstate.islast` or `barstate.isrealtime` for efficiency), the panel's content needs to be refreshed. This is done using the `updatePanel` function.
Populate an instance of the `panelData` UDT with the latest FVG information. This includes setting the nearest bullish/bearish mitigation levels for LTF, MTF, and HTF, their LV status, and their desired background and text colors.
Call `updatePanel()`, passing the persistent `table` object (from Step 1), the populated `panelData` object, the icon string for LV FVGs, the default text color for FVG levels, the background color for "N/A" cells, and the general text size for the data cells.
The `updatePanel` function will then clear previous data and fill the table cells with the new values and styles provided in the `panelData` object.
// Example (inside a conditional block like 'if barstate.islast'):
var panelData fvgDisplayData = panelData.new()
// ... (logic to populate fvgDisplayData fields) ...
// fvgDisplayData.nearestBullMitLvl = ...
// fvgDisplayData.ltfBullBgColor = ...
// ... etc.
if not na(infoPanel)
panel.updatePanel(
infoPanel,
fvgDisplayData,
"🔥", // LV FVG Icon
color.white,
color.new(color.gray, 70), // NA Cell Color
size.small
)
This workflow ensures that the panel is drawn only once and its cells are efficiently updated as new data becomes available.
█ NOTES
Data Source: This library is solely responsible for the visual presentation of FVG data in a table. It does not perform any FVG detection or calculation. The calling script must compute or retrieve the FVG levels, LV status, and desired styling to populate the `panelData` object.
Styling Responsibility: While `updatePanel` applies colors passed via the `panelData` object, the logic for *determining* those colors (e.g., highlighting the closest FVG to the current price) resides in the calling script.
Performance: The library uses `table.cell()` to update individual cells, which is generally more efficient than deleting and recreating the table on each update. However, the frequency of `updatePanel` calls should be managed by the main script (e.g., using `barstate.islast` or `barstate.isrealtime`) to avoid excessive processing on historical bars.
`series float` Handling: The price level fields within the `panelData` UDT (e.g., `nearestBullMitLvl`) can accept `series float` values, as these are typically derived from price data. The internal `formatPrice` function correctly handles `series float` for display.
Dependencies: The `FvgPanel` itself is self-contained and does not import other user libraries. It uses standard Pine Script™ table and string functionalities.
█ EXPORTED TYPES
panelData
Represents the data structure for populating the FVG information panel.
Fields:
nearestBullMitLvl (series float) : The price level of the nearest bullish FVG's mitigation point (bottom for bull) on the LTF.
isNearestBullLV (series bool) : True if the nearest bullish FVG on the LTF is a Large Volume FVG.
ltfBullBgColor (series color) : Background color for the LTF bullish FVG cell in the panel.
ltfBullTextColor (series color) : Text color for the LTF bullish FVG cell in the panel.
nearestBearMitLvl (series float) : The price level of the nearest bearish FVG's mitigation point (top for bear) on the LTF.
isNearestBearLV (series bool) : True if the nearest bearish FVG on the LTF is a Large Volume FVG.
ltfBearBgColor (series color) : Background color for the LTF bearish FVG cell in the panel.
ltfBearTextColor (series color) : Text color for the LTF bearish FVG cell in the panel.
nearestMtfBullMitLvl (series float) : The price level of the nearest bullish FVG's mitigation point on the MTF.
isNearestMtfBullLV (series bool) : True if the nearest bullish FVG on the MTF is a Large Volume FVG.
mtfBullBgColor (series color) : Background color for the MTF bullish FVG cell.
mtfBullTextColor (series color) : Text color for the MTF bullish FVG cell.
nearestMtfBearMitLvl (series float) : The price level of the nearest bearish FVG's mitigation point on the MTF.
isNearestMtfBearLV (series bool) : True if the nearest bearish FVG on the MTF is a Large Volume FVG.
mtfBearBgColor (series color) : Background color for the MTF bearish FVG cell.
mtfBearTextColor (series color) : Text color for the MTF bearish FVG cell.
nearestHtfBullMitLvl (series float) : The price level of the nearest bullish FVG's mitigation point on the HTF.
isNearestHtfBullLV (series bool) : True if the nearest bullish FVG on the HTF is a Large Volume FVG.
htfBullBgColor (series color) : Background color for the HTF bullish FVG cell.
htfBullTextColor (series color) : Text color for the HTF bullish FVG cell.
nearestHtfBearMitLvl (series float) : The price level of the nearest bearish FVG's mitigation point on the HTF.
isNearestHtfBearLV (series bool) : True if the nearest bearish FVG on the HTF is a Large Volume FVG.
htfBearBgColor (series color) : Background color for the HTF bearish FVG cell.
htfBearTextColor (series color) : Text color for the HTF bearish FVG cell.
█ EXPORTED FUNCTIONS
createPanel(position, borderColor, borderWidth, headerBgColor, headerTextColor, headerTextSize)
Creates and initializes the FVG information panel (table). Sets up the header rows and timeframe labels.
Parameters:
position (simple string) : The position of the panel on the chart (e.g., position.top_right). Uses position.* constants.
borderColor (simple color) : The color of the panel's border.
borderWidth (simple int) : The width of the panel's border.
headerBgColor (simple color) : The background color for the header cells.
headerTextColor (simple color) : The text color for the header cells.
headerTextSize (simple string) : The text size for the header cells (e.g., size.small). Uses size.* constants.
Returns: The newly created table object representing the panel.
updatePanel(panelTable, data, lvIcon, defaultTextColor, naCellColor, textSize)
Updates the content of the FVG information panel with the latest FVG data.
Parameters:
panelTable (table) : The table object representing the panel to be updated.
data (panelData) : An object containing the FVG data to display.
lvIcon (simple string) : The icon (e.g., emoji) to display next to Large Volume FVGs.
defaultTextColor (simple color) : The default text color for FVG levels if not highlighted.
naCellColor (simple color) : The background color for cells where no FVG data is available ("---").
textSize (simple string) : The text size for the FVG level data (e.g., size.small).
Returns: _void
RSI Buy Sell Signals[RanaAlgo]Overview
This Premium RSI with Enhanced Signals builds upon the classic Relative Strength Index by incorporating multiple confirmation filters and visual enhancements to improve signal reliability. The indicator goes beyond basic overbought/oversold levels by adding volume confirmation, trend alignment, and peak detection logic.
Key Features
Enhanced Signal Detection
Peak Strength Filter: Requires RSI movements to meet minimum strength criteria (configurable from 1-5 bars)
Volume Confirmation: Optional volume filter to ensure signals occur with above-average trading activity
Trend Alignment: Optional trend confirmation that checks price position relative to 20-period EMA
Visual Improvements
Dynamic coloring of RSI line (green in oversold, red in overbought)
Customizable reference lines and zones
Clear buy/sell signals with triangle markers
Comprehensive info panel showing current RSI status
Alert Capabilities
Ready-to-use alert conditions for both buy and sell signals
Visual and audible alerts when signals trigger
How It Works
Core RSI Calculation: Uses standard RSI formula with configurable length (default 14)
Signal Generation:
Buy signals require either:
RSI rising from oversold with volume/trend confirmation (when enabled)
Simple crossover above oversold level (when filters disabled)
Sell signals require either:
RSI falling from overbought with volume/trend confirmation
Simple crossunder below overbought level
Additional Filters:
Minimum peak strength prevents weak, insignificant movements from generating signals
Volume filter helps confirm institutional participation
Trend filter aligns signals with broader price direction
Usage Instructions
Apply to any chart timeframe (works best on 1H or higher)
Configure settings in the input panel:
Adjust RSI length if needed
Set overbought/oversold levels (default 70/30)
Enable/disable volume and trend filters
Customize visual elements
Signals appear as triangles below/above the RSI line
Use alerts to get notified of new signals
Differentiation from Standard RSI
This indicator adds several layers of confirmation that aren't present in the basic RSI:
Multi-bar momentum requirement for peaks/troughs
Volume validation option
Trend confirmation option
Smoothed RSI line for cleaner visualization
Comprehensive info panel with current status
The combination of these features helps filter out false signals that commonly occur with traditional RSI implementations.
Trend Table ZeeZeeMonMulti-Timeframe Trend Indicator
Overview
This indicator identifies trends across multiple higher timeframes and displays them in a widget on the right side of the chart. It serves as an alternative trend-filtering tool, helping traders align with the dominant market direction. Unlike traditional moving average-based trend detection (e.g., price above/below a 200 MA), this indicator assesses whether higher timeframes are genuinely trending by analyzing swing highs and lows.
Trend Definition
Uptrend: Higher highs and higher lows.
Downtrend: Lower highs and lower lows.
A trend reversal occurs when a prior high/low is breached (e.g., in a downtrend, breaking the last high signals an uptrend).
Customization Options
Lookback Period: Adjusts the sensitivity for identifying swing highs/lows (pivot points). A shorter lookback detects more frequent pivots.
Historical Pivot Visibility: Toggle to display past swing highs/lows for verification.
Support/Resistance Lines: Show dynamic levels from recent pivots on higher timeframes. Breaching these lines indicates potential trend changes.
Purpose
Helps traders:
Confirm higher timeframe trends before entering trades.
Monitor proximity to trend reversals.
Fine-tune pivot sensitivity for optimal trend detection.
Note: Works best as a supplementary trend filter alongside other trading strategies.
Custom Performance TableThis script generates a table designed to provide a concise yet highly customizable overview of the performance of multiple financial instruments, displayed directly on the chart. The table can include up to 40 tickers, each individually configurable, with values updated in real time based on either the current chart timeframe or a specific user-selected timeframe.
NOTE : The update frequency of the table values depends on the refresh rate of the chart's main ticker to which the indicator is applied. To ensure a consistent and reliable data feed, especially when monitoring heterogeneous instruments, it is recommended to apply the indicator to a highly liquid and continuously traded asset, such as BTCUSD.
PERFORMANCE CALCULATION MODES
You can choose from three different performance calculation modes:
1) Change % (Percentage Change)
Displays the percentage change of the current price compared to the previous candle within the selected timeframe.
(Current Price - Previous Price) / Previous Price * 100
This mode provides an immediate and straightforward measure of each instrument's percentage movement, useful for quick visual comparisons of relative strength among assets.
2) Z-Score
The Z-Score measures how much the current price variation deviates from the historical average variation, relative to the standard deviation of those variations.
(Current Variation - Average Variation) / Standard Deviation of Variations
The result indicates how statistically unusual a movement is:
- Values near 0 suggest normal variations.
- Values above ±2 indicate statistically significant deviations.
This is a valuable tool for identifying overbought/oversold conditions or market stress events and is often used in mean reversion strategies.
NOTE : Due to technical constraints, Z-Score can only be calculated when the selected timeframe matches the chart's timeframe exactly.
3) RAROC (Risk-Adjusted Return on Capital)
RAROC expresses an asset's performance in relation to the risk taken, measured through its volatility (standard deviation of price).
Percentage Change / Standard Deviation of Price
It allows for an assessment of return efficiency in relation to volatility.
A high RAROC value indicates a high return relative to the risk, making it a useful tool for comparing assets with different risk profiles. It is especially suitable for portfolio selection and allocation purposes.
TABLE CONFIGURATION
Each ticker can be customized with its own label, colors, and position in the table.
Each row can display the ticker name or a custom label, which, at the user's discretion, can either replace the name or be shown as an informational tooltip.
The table can be placed anywhere on the chart using horizontal and vertical offset parameters. Thanks to offset support, you can, for example, create financial market overview layouts. This can be done by completely “cleaning” the chart from price and indicators using TradingView settings, and then displaying multiple tables simultaneously (see the example chart published here).
Advanced customization options are also available for the table's appearance, including font settings, colors, borders, and more.
CALCULATION TIMEFRAME
The indicator allows the user to force a specific timeframe (Daily, Weekly, Monthly, Yearly) when applied to intraday charts.
However, for Z-Score mode, the selected timeframe must match the chart's timeframe exactly to ensure correct computation. Otherwise, the script will halt until settings are properly adjusted.
USAGE NOTES
Custom Performance Table is a flexible and adaptable tool, suitable for both intraday operations and medium- to long-term analysis. It is designed for traders and analysts who need to compare assets based on quantitative metrics, whether simple (like percentage change) or more advanced and risk-adjusted (such as Z-Score and RAROC).
RSI Plus +
Description:
RSI Plus + is an enhanced Relative Strength Index (RSI) indicator that provides a multi-timeframe view of RSI values across various timeframes. It highlights overbought and oversold conditions for a more comprehensive analysis, with additional focus on the Relative RSI (RRSI), which compares the current RSI to the average RSI. This provides insight into relative market strength or weakness, giving traders a clear view of how the current market conditions compare to historical averages. The indicator is ideal for spotting potential market reversals, pullbacks, or trend continuations.
Overview
RSI Plus + offers a multi-timeframe RSI display across the following timeframes:
- 2m (2 minutes)
- 5m (5 minutes)
- 15m(15 minutes)
- 30m (30 minutes)
- 1h (1 hour)
- 4h (4 hours)
- 12h (12 hours)
- Daily (1 Day)
- Weekly (1 Week)
- Monthly (1 Month)
The indicator displays a table with RSI, Average RSI, and Relative RSI (RRSI) values for each selected timeframe. The table is color-coded to indicate overbought (RSI > 70) or oversold (RSI < 30) conditions. Additionally, visual triangle alerts are plotted on the chart to signal potential trade opportunities when all selected timeframes show either overbought or oversold conditions. The RRSI provides insight into the current market’s relative strength or weakness by comparing the current RSI to its historical average.
How to Use
1. Setting Up the Indicator:
- Add RSI Plus + to your TradingView chart.
- Enable or disable timeframes using the checkboxes (e.g., 2m, 5m, 15m, Daily, Weekly, etc.) to customise the timeframes you want to analyse.
2. Understanding the Table Layout:
The indicator displays a table in the top-right corner of the chart with the following columns:
- Row 0 Timeframes (2m, 5m, 15m, 30m, 1h, 4h, 12h, Daily, Weekly, Monthly).
- Row 1 RRSI (Relative RSI: the current RSI compared to the average RSI).
- Row 2 Average RSI (The average RSI for each timeframe).
- Row 3 Current RSI (The current RSI value for each timeframe).
The RRSI (Relative RSI) row compares the current RSI with the average RSI, offering insight into the current relative strength or weakness. This allows traders to gauge whether the market is stronger or weaker compared to its historical performance within the selected timeframe.
3. Interpreting the Relative RSI (RRSI)
- RRSI > 1: If the Relative RSI (RRSI)is greater than 1, it means the current RSI is stronger than its historical average, indicating stronger market strength. This could be a sign of momentum in the direction of the trend.
- RRSI < 1: If the RRSI is below 1, it means the current RSI is weaker than its historical average, signalling relative market weakness. This may indicate the possibility of a reversal or pullback before the trend resumes.
- RRSI ~ 1: When the RRSI is around 1, it indicates that the current RSI is in line with its historical average, suggesting neutral market conditions.
4. Using the Visual Cues (Triangle Shapes):
- Green Triangle: Plotted above the price bars when all selected timeframes show RSI values above 70 (overbought), signalling potential exhaustion and a short signal or a pullback before continuation.
- Red Triangle: Plotted below the price bars when all selected timeframes show RSI values below 30*(oversold), signalling potential market reversal and long signal or a pullback before continuation*
These triangle shapes are clear visual alerts for traders to act upon when all timeframes signal extreme conditions.
5. Overbought/Oversold Conditions as Signals:
Overbought Conditions: If all selected timeframes show RSI values above 70 (green triangles appear), it suggests that the market may be overbought, signalling a potential short trade opportunity or a pullback before continuation.
Oversold Conditions: If all selected timeframes show RSI values below 30 (red triangles appear), it suggests that the market may be oversold, signalling a potential long trade or short term bounce opportunity or a pullback before continuation.
6. Set alerts for when all selected timeframes turn overbought (green triangles) or all turn oversold (red triangles). This alert condition will notify you when all selected timeframes signal extreme market conditions, which could indicate a strong reversal or continuation in price.
Notes:
RRSI provides an additional layer of analysis by showing the current relative strength or weakness of the market. A higher RRSI indicates strength relative to historical performance, while a lower RRSI signals weakness.
RSI Plus + is best used alongside other technical tools to confirm trade setups.
RRSI can help traders determine whether the market is likely to continue its trend or if a correction or reversal is imminent.
Customisable Timeframes: The RSI Plus + indicator is fully customisable, allowing you to select RSI length (RSI Period), which timeframes to analyse, from as short as 2 minutes up to monthly intervals, a personally chosen selection This gives traders the flexibility to tailor the indicator to their preferred trading style and time horizon.
Avg.ROC TableThis indicator calculates the average Rate of Change (ROC) for up to 30 user-selected assets over a specified number of candles. It then ranks the assets—assigning rank 1 to the asset with the highest average ROC (strongest momentum) and rank 30 to the asset with the lowest. The results are displayed in a clean, easy-to-read table split into two stacks of 15 assets each, allowing you to quickly see which assets are performing best.
Correlation Coefficient Master TableThe Correlation Coefficient Master Table is a comprehensive tool designed to calculate and visualize the correlation coefficient between a selected base asset and multiple other assets over various time periods. It provides traders and analysts with a clear understanding of the relationships between assets, enabling them to analyze trends, diversification opportunities, and market dynamics. You can define key parameters such as the base asset’s data source (e.g., close price), the assets to compare against (up to six symbols), and multiple lookback periods for granular analysis.
The indicator calculates the covariance and normalizes it by the product of the standard deviations. The correlation coefficient ranges from -1 to +1, with +1 indicating a perfect positive relationship, -1 a perfect negative relationship, and 0 no relationship.
You can specify the lookback periods (e.g., 15, 30, 90, or 120 bars) to tailor the calculation to their analysis needs. The results are visualized as both a line plot and a table. The line plot shows the correlation over the primary lookback period (the Chart Length), which can be used to inspect a certain length close up, or could be used in conjunction with the table to provide you with five lookback periods at once for the same base asset. The dynamically created table provides a detailed breakdown of correlation values for up to six target assets across the four user-defined lengths. The table’s cells are formatted with rounded values and color-coded for easy interpretation.
This indicator is ideal for traders, portfolio managers, and market researchers who need an in-depth understanding of asset interdependencies. By providing both the numerical correlation coefficients and their visual representation, users can easily identify patterns, assess diversification strategies, and monitor correlations across multiple timeframes, making it a valuable tool for decision-making.
ADR Table BY @ICT_YEROADR Table BY @ICT_YERO
Created by: @ICT_YERO
This custom indicator is designed to provide the Average Daily Range (ADR) for multiple timeframes, including Daily, 4-Hour, and 1-Hour. The indicator is tailored to assist traders in understanding price volatility and making informed trading decisions.
Key Features
Multi-Timeframe ADR Calculation:
Automatically calculates and displays the ADR for Daily, 4-Hour, and 1-Hour timeframes.
Helps traders identify potential price movement ranges for different trading sessions.
Dynamic Range Visualization:
Clear visual representation of the ADR on the chart, making it easy to spot price extremes.
Real-time updates to reflect changes in price movement.
Custom Alerts:
Option to set alerts when the price approaches the ADR high or low.
Useful for identifying potential reversal zones or breakout opportunities.
User-Friendly Interface:
Simple and intuitive settings to customize colors, levels, and display preferences.
Seamlessly integrates with your existing TradingView setup.
ICT-Inspired Methodology:
Designed for traders who follow ICT concepts, focusing on precision and high-probability setups.
Applications
Range Trading: Helps determine the high and low boundaries for scalping or intraday setups.
Volatility Analysis: Understand market behavior during different times of the day or week.
Reversal Zones: Identify areas where price is likely to reverse, based on ADR extremes.
Whether you're a scalper, day trader, or swing trader, this indicator provides a comprehensive overview of price volatility across multiple timeframes, making it an essential tool for your trading arsenal.
Dynamic Risk-Adjusted Performance Ratios with TableWith this indicator, you have everything you need to monitor and compare the Sharpe ratio, Sortino ratio, and Omega ratio across multiple assets—all in one place. This tool is designed to help save time and improve efficiency by letting you track up to 15 assets simultaneously in a fully customizable table. You can adjust the lookback period to fit your trading strategy and get a clearer picture of how your assets perform over time. Instead of switching between charts, this indicator puts all the critical information you need at your fingertips.
Sharpe Ratio -
Helps evaluate the overall efficiency of investments by comparing the average return to the total risk (measured by the standard deviation of all returns). Essentially, it tells you how much excess return you’re getting for each unit of risk you’re taking. A higher Sharpe ratio means you’re getting better risk-adjusted performance—something you’ll want to aim for in your portfolio.
Sortino Ratio -
Goes a step further by focusing only on downside risk—because let’s face it, no one worries about positive volatility. This ratio is calculated by dividing the average return by the standard deviation of only the negative returns. Perfect for those concerned about avoiding losses rather than chasing extreme gains. It gives you a sharper view of how well your assets are performing relative to the risks you’re trying to avoid.
Omega Ratio -
Offers a unique perspective by comparing the sum of positive returns to the absolute sum of negative returns. It’s a straightforward way to see if your wins outweigh your losses. A higher Omega ratio means your positive returns significantly exceed the downside, which is exactly what you want when building a strong, reliable portfolio.
This indicator is perfect for traders who want to streamline their decision-making process and gain an edge. Bringing together these three critical ratios into a single user-defined table makes it easy to compare and rank assets at a glance. Whether optimizing a portfolio or looking for the best opportunities, this tool helps you stay ahead by focusing on risk-adjusted returns. The customizable lookback period lets you tailor the analysis to fit your unique trading approach, giving you insights that align with your goals. If you’re serious about making data-driven decisions and improving your trading outcomes, this indicator is a game-changer for your toolkit.
