Frahm Factor Position Size CalculatorThe Frahm Factor Position Size Calculator is a powerful evolution of the original Frahm Factor script, leveraging its volatility analysis to dynamically adjust trading risk. This Pine Script for TradingView uses the Frahm Factor’s volatility score (1-10) to set risk percentages (1.75% to 5%) for both Margin-Based and Equity-Based position sizing. A compact table on the main chart displays Risk per Trade, Frahm Factor, and Average Candle Size, making it an essential tool for traders aligning risk with market conditions.
Calculates a volatility score (1-10) using true range percentile rank over a customizable look-back window (default 24 hours).
Dynamically sets risk percentage based on volatility:
Low volatility (score ≤ 3): 5% risk for bolder trades.
High volatility (score ≥ 8): 1.75% risk for caution.
Medium volatility (score 4-7): Smoothly interpolated (e.g., 4 → 4.3%, 5 → 3.6%).
Adjustable sensitivity via Frahm Scale Multiplier (default 9) for tailored volatility response.
Position Sizing:
Margin-Based: Risk as a percentage of total margin (e.g., $175 for 1.75% of $10,000 at high volatility).
Equity-Based: Risk as a percentage of (equity - minimum balance) (e.g., $175 for 1.75% of ($15,000 - $5,000)).
Compact 1-3 row table shows:
Risk per Trade with Frahm score (e.g., “$175.00 (Frahm: 8)”).
Frahm Factor (e.g., “Frahm Factor: 8”).
Average Candle Size (e.g., “Avg Candle: 50 t”).
Toggles to show/hide Frahm Factor and Average Candle Size rows, with no empty backgrounds.
Four sizes: XL (18x7, large text), L (13x6, normal), M (9x5, small, default), S (8x4, tiny).
Repositionable (9 positions, default: top-right).
Customizable cell color, text color, and transparency.
Set Frahm Factor:
Frahm Window (hrs): Pick how far back to measure volatility (e.g., 24 hours). Shorter for fast markets, longer for chill ones.
Frahm Scale Multiplier: Set sensitivity (1-10, default 9). Higher makes the score jumpier; lower smooths it out.
Set Margin-Based:
Total Margin: Enter your account balance (e.g., $10,000). Risk auto-adjusts via Frahm Factor.
Set Equity-Based:
Total Equity: Enter your total account balance (e.g., $15,000).
Minimum Balance: Set to the lowest your account can go before liquidation (e.g., $5,000). Risk is based on the difference, auto-adjusted by Frahm Factor.
Customize Display:
Calculation Method: Pick Margin-Based or Equity-Based.
Table Position: Choose where the table sits (e.g., top_right).
Table Size: Select XL, L, M, or S (default M, small text).
Table Cell Color: Set background color (default blue).
Table Text Color: Set text color (default white).
Table Cell Transparency: Adjust transparency (0 = solid, 100 = invisible, default 80).
Show Frahm Factor & Show Avg Candle Size: Check to show these rows, uncheck to hide (default on).
Cerca negli script per " TABLE "
Position Size CalculatorIt calculates the risk per trade using two methods: Margin-Based (percentage of total Account Balance) or Equity-Based (percentage of Total Balance minus minimum balance). Displayed as a compact, customizable label on the main chart, it’s perfect for traders seeking quick, precise risk calculations.
Key Features
Two Calculation Options:
Margin-Based: Risk as a percentage (0-5%) of your total account balance.
Equity-Based: Risk as a percentage (0-50%) of (Total balance - Minimum balance).
Flexible Risk Input: Manually enter any risk percentage with 0.01% precision (e.g., 1.75%).
Customizable Display:
Repositionable table (9 positions, e.g., top-right, middle-center).
Four table sizes (XL, L, M, S) with text scaling (large, normal, small, tiny).
Adjustable cell color, text color, and transparency
Margin-Based Risk Calculation:
Set “Total Margin” (e.g., $10,000).
Enter “Risk Percentage (%)” (0 to 5%, e.g., 1.75%).
Equity-Based Risk Calculation:
Set “Total Equity” (e.g., $15,000).
Set “Minimum Balance” (e.g., $5,000).
Enter “Equity Risk Percentage (%)” (0 to 50%, e.g., 1.75%).
Display Settings:
Choose “Calculation Method” (Margin-Based or Equity-Based).
Select “Table Position” (e.g., top_right).
Select “Table Size” (XL, L, M, S; default M).
Customize “Table Cell Color”, “Table Text Color”, and “Table Cell Transparency”.
Uptrick: Universal Z-Score ValuationOverview
The Uptrick: Universal Z-Score Valuation is a tool designed to help traders spot when the market might be overreacting—whether that’s on the upside or the downside. It does this by combining the Z-scores of multiple key indicators into a single average, letting you see how far the current market conditions have stretched away from “normal.” This average is shown as a smooth line, supported by color-coded visuals, signal markers, optional background highlights, and a live breakdown table that shows the contribution of each indicator in real time. The focus here is on spotting potential reversals, not following trends. The indicator works well across all timeframes and asset classes, from fast intraday charts like the 1-minute and 5-minute, to higher timeframes such as the 4-hour, daily, or even weekly. Its universal design makes it suitable for any market — whether you're trading crypto, stocks, forex, or commodities.
Introduction
To understand what this indicator does, let’s start with the idea of a Z-score. In simple terms, a Z-score tells you how far a number is from the average of its recent history, measured in standard deviations. If the price of an asset is two standard deviations above its mean, that means it’s statistically “rare” or extended. That doesn’t guarantee a reversal—but it suggests the move is unusual enough to pay attention.
This concept isn’t new, but what this indicator does differently is apply the Z-score to a wide set of market signals—not just price. It looks at momentum, volatility, volume, risk-adjusted performance, and even institutional price baselines. Each of those indicators is normalized using Z-scores, and then they’re combined into one average. This gives you a single, easy-to-read line that summarizes whether the entire market is behaving abnormally. Instead of reacting to one indicator, you’re reacting to a statistically balanced blend.
Purpose
The goal of this script is to catch turning points—places where the market may be topping out or bottoming after becoming overstretched. It’s built for traders who want to fade sharp moves rather than follow trends. Think of moments when price explodes upward and starts pulling away from every moving average, volume spikes, volatility rises, and RSI shoots up. This tool is meant to spot those situations—not just when price is stretched, but when multiple different indicators agree that something is overdone.
Originality and Uniqueness
Most indicators that use Z-scores only apply them to one thing—price, RSI, or maybe Bollinger Bands. This one is different because it treats each indicator as a contributor to the full picture. You decide which ones to include, and the script averages them out. This makes the tool flexible but also deeply informative.
It doesn’t rely on complex or hidden math. It uses basic Z-score formulas, applies them to well-known indicators, and shows you the result. What makes it unique is the way it brings those signals together—statistically, visually, and interactively—so you can see what’s happening in the moment with full transparency. It’s not trying to be flashy or predictive. It’s just showing you when things have gone too far, too fast.
Inputs and Parameters
This indicator includes a wide range of configurable inputs, allowing users to customize which components are included in the Z-score average, how each indicator is calculated, and how results are displayed visually. Below is a detailed explanation of each input:
General Settings
Z-Score Lookback (default: 100): Number of bars used to calculate the mean and standard deviation for Z-score normalization. Larger values smooth the Z-scores; smaller values make them more reactive.
Bar Color Mode (default: None): Determines how bars are visually colored. Options include: None: No candle coloring applied. - Heat: Smooth gradient based on the Z-score value. - Latest Signal: Applies a solid color based on the most recent buy or sell signal
Boolean - General
Plot Universal Valuation Line (default: true): If enabled, plots the average Z-score (zAvg) line in the separate pane.
Show Signals (default: true): Displays labels ("𝓤𝓹" for buy, "𝓓𝓸𝔀𝓷" for sell) when zAvg crosses above or below user-defined thresholds.
Show Z-Score Table (default: true): Displays a live table listing each enabled indicator's Z-score and the current average.
Select Indicators
These toggles enable or disable each indicator from contributing to the Z-score average:
Use VWAP Z-Score (default: true)
Use Sortino Z-Score (default: true)
Use ROC Z-Score (default: true)
Use Price Z-Score (default: true)
Use MACD Histogram Z-Score (default: false)
Use Bollinger %B Z-Score (default: false)
Use Stochastic K Z-Score (default: false)
Use Volume Z-Score (default: false)
Use ATR Z-Score (default: false)
Use RSI Z-Score (default: false)
Use Omega Z-Score (default: true)
Use Sharpe Z-Score (default: true)
Only enabled indicators are included in the average. This modular design allows traders to tailor the signal mix to their preferences.
Indicator Lengths
These inputs control how each individual indicator is calculated:
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Bollinger Basis Length (default: 20): Used to compute the Bollinger %B.
Bollinger Deviation Multiplier (default: 2.0): Standard deviation multiplier for the Bollinger Band calculation.
Stochastic Length (default: 14)
ATR Length (default: 14)
RSI Length (default: 14)
ROC Length (default: 10)
Zones
These thresholds define key signal levels for the Z-score average:
Neutral Line Level (default: 0): Baseline for the average Z-score.
Bullish Zone Level (default: -1): Optional intermediate zone suggesting early bullish conditions.
Bearish Zone Level (default: 1): Optional intermediate zone suggesting early bearish conditions.
Z = +2 Line Level (default: 2): Primary threshold for bearish signals.
Z = +3 Line Level (default: 3): Extreme bearish warning level.
Z = -2 Line Level (default: -2): Primary threshold for bullish signals.
Z = -3 Line Level (default: -3): Extreme bullish warning level.
These zone levels are used to generate signals, fill background shading, and draw horizontal lines for visual reference.
Why These Indicators Were Merged
Each indicator in this script was chosen for a specific reason. They all measure something different but complementary.
The VWAP Z-score helps you see when price has moved far from the volume-weighted average, often used by institutions.
Sortino Ratio Z-score focuses only on downside risk, which is often more relevant to traders than overall volatility.
ROC Z-score shows how fast price is changing—strong momentum may burn out quickly.
Price Z-score is the raw measure of how far current price has moved from its mean.
RSI Z-score shows whether momentum itself is stretched.
MACD Histogram Z-score captures shifts in trend strength and acceleration.
%B (Bollinger) Z-score indicates how close price is to the upper or lower volatility envelope.
Stochastic K Z-score gives a sense of how high or low price is relative to its recent range.
Volume Z-score shows when trading activity is unusually high or low.
ATR Z-score gives a read on volatility, showing if price movement is expanding or contracting.
Sharpe Z-score measures reward-to-risk performance, useful for evaluating trend quality.
Omega Z-score looks at the ratio of good returns to bad ones, offering a more nuanced view of efficiency.
By normalizing each of these using Z-scores and averaging only the ones you turn on, the script creates a flexible, balanced view of the market’s statistical stretch.
Calculations
The core formula is the standard Z-score:
Z = (current value - average) / standard deviation
Every indicator uses this formula after it’s calculated using your chosen settings. For example, RSI is first calculated as usual, then its Z-score is calculated over your selected lookback period. The script does this for every indicator you enable. Then it averages those Z-scores together to create a single value: zAvg. That value is plotted and used to generate visual cues, signals, table values, background color changes, and candle coloring.
Sequence
Each selected indicator is calculated using your custom input lengths.
The Z-score of each indicator is computed using the shared lookback period.
All active Z-scores are added up and averaged.
The resulting zAvg value is plotted as a line.
Signal conditions check if zAvg crosses user-defined thresholds (default: ±2).
If enabled, the script plots buy/sell signal labels at those crossover points.
The candle color is updated using your selected mode (heatmap or signal-based).
If extreme Z-scores are reached, background highlighting is applied.
A live table updates with each individual Z-score so you know what’s driving the signal.
Features
This script isn’t just about stats—it’s about making them usable in real time. Every feature has a clear reason to exist, and they’re all there to give you a better read on market conditions.
1. Universal Z-Score Line
This is your primary reference. It reflects the average Z-score across all selected indicators. The line updates live and is color-coded to show how far it is from neutral. The further it gets from 0, the brighter the color becomes—cyan for deeply oversold conditions, magenta for overbought. This gives you instant feedback on how statistically “hot” or “cold” the market is, without needing to read any numbers.
2. Signal Labels (“𝓤𝓹” and “𝓓𝓸𝔀𝓷”)
When the average Z-score drops below your lower bound, you’ll see a "𝓤𝓹" label below the bar, suggesting potential bullish reversal conditions. When it rises above the upper bound, a "𝓓𝓸𝔀𝓷" label is shown above the bar—indicating possible bearish exhaustion. These labels are visually clear and minimal so they don’t clutter your chart. They're based on clear crossover logic and do not repaint.
3. Real-Time Z-Score Table
The table shows each indicator's individual Z-score and the final average. It updates every bar, giving you a transparent breakdown of what’s happening under the hood. If the market is showing an extreme average score, this table helps you pinpoint which indicators are contributing the most—so you’re not just guessing where the pressure is coming from.
4. Bar Coloring Modes
You can choose from three modes:
None: Keeps your candles clean and untouched.
Heat: Applies a smooth gradient color based on Z-score intensity. As conditions become more extreme, candle color transitions from neutral to either cyan (bullish pressure) or magenta (bearish pressure).
Latest Signal: Applies hard coloring based on the most recent signal—greenish for a buy, purple for a sell. This mode is great for tracking market state at a glance without relying on a gradient.
Every part of the candle is colored—body, wick, and border—for full visibility.
5. Background Highlighting
When zAvg enters an extreme zone (typically above +2 or below -2), the background shifts color to reflect the market’s intensity. These changes aren’t overwhelming—they’re light fills that act as ambient warnings, helping you stay aware of when price might be reaching a tipping point.
6. Customizable Zone Lines and Fills
You can define what counts as neutral, overbought, and oversold using manual inputs. Horizontal lines show your thresholds, and shaded regions highlight the most extreme zones (+2 to +3 and -2 to -3). These lines give you visual structure to understand where price currently stands in relation to your personal reversal model.
7. Modular Indicator Control
You don’t have to use all the indicators. You can enable or disable any of the 12 with a simple checkbox. This means you can build your own “blend” of market context—maybe you only care about RSI, price, and volume. Or maybe you want everything on. The script adapts accordingly, only averaging what you select.
8. Fully Customizable Sensitivity and Lengths
You can adjust the Z-score lookback length globally (default 100), and tweak individual indicator lengths separately. This lets you tune the indicator’s responsiveness to suit your trading style—slower for longer swings, faster for scalping.
9. Clean Integration with Any Chart Layout
All visual elements are designed to be informative without taking over your chart. The coloring is soft but clear, the labels are readable without being huge, and you can turn off any feature you don’t need. The indicator can work as a full dashboard or as a simple line with a couple of alerts—it’s up to you.
10. Precise, Real-Time Signal Logic
The crossover logic for signals is exact and only fires when the Z-score moves across your defined boundary. No estimation, no delay. Everything is calculated based on current and previous bar data, and nothing repaints or back-adjusts.
Conclusion
The Universal Z-Score Valuation indicator is a tool for traders who want a clear, unbiased way to detect overextension. Instead of relying on a single signal, you get a composite of several market perspectives—momentum, volatility, volume, and more—all standardized into a single view. The script gives you the freedom to control the logic, the visuals, and the components. Whether you use it as a confirmation tool or a primary signal source, it’s designed to give you clarity when markets become chaotic.
Disclaimer
This indicator is for research and educational use only. It does not constitute financial advice or guarantees of performance. All trading involves risk, and users should test any strategy thoroughly before applying it to live markets. Use this tool at your own discretion.
Auto AI Trendlines [TradingFinder] Clustering & Filtering Trends🔵 Introduction
Auto AI trendlines Clustering & Filtering Trends Indicator, draws a variety of trendlines. This auto plotting trendline indicator plots precise trendlines and regression lines, capturing trend dynamics.
Trendline trading is the strongest strategy in the financial market.
Regression lines, unlike trendlines, use statistical fitting to smooth price data, revealing trend slopes. Trendlines connect confirmed pivots, ensuring structural accuracy. Regression lines adapt dynamically.
The indicator’s ascending trendlines mark bullish pivots, while descending ones signal bearish trends. Regression lines extend in steps, reflecting momentum shifts. As the trend is your friend, this tool aligns traders with market flow.
Pivot-based trendlines remain fixed once confirmed, offering reliable support and resistance zones. Regression lines, adjusting to price changes, highlight short-term trend paths. Both are vital for traders across asset classes.
🔵 How to Use
There are four line types that are seen in the image below; Precise uptrend (green) and downtrend (red) lines connect exact price extremes, while Pivot-based uptrend and downtrend lines use significant swing points, both remaining static once formed.
🟣 Precise Trendlines
Trendlines only form after pivot points are confirmed, ensuring reliability. This reduces false signals in choppy markets. Regression lines complement with real-time updates.
The indicator always draws two precise trendlines on confirmed pivot points, one ascending and one descending. These are colored distinctly to mark bullish and bearish trends. They remain fixed, serving as structural anchors.
🟣 Dynamic Regression Lines
Regression lines, adjusting dynamically with price, reflect the latest trend slope for real-time analysis. Use these to identify trend direction and potential reversals.
Regression lines, updated dynamically, reflect real-time price trends and extend in steps. Ascending lines are green, descending ones orange, with shades differing from trendlines. This aids visual distinction.
🟣 Bearish Chart
A Bullish State emerges when uptrend lines outweigh or match downtrend lines, with recent upward momentum signaling a potential rise. Check the trend count in the state table to confirm, using it to plan long positions.
🟣 Bullish Chart
A Bearish State is indicated when downtrend lines dominate or equal uptrend lines, with recent downward moves suggesting a potential drop. Review the state table’s trend count to verify, guiding short position entries. The indicator reflects this shift for strategic planning.
🟣 Alarm
Set alerts for state changes to stay informed of Bullish or Bearish shifts without constant monitoring. For example, a transition to Bullish State may signal a buying opportunity. Toggle alerts On or Off in the settings.
🟣 Market Status
A table summarizes the chart’s status, showing counts of ascending and descending lines. This real-time overview simplifies trend monitoring. Check it to assess market bias instantly.
Monitor the table to track line counts and trend dominance.
A higher count of ascending lines suggests bullish bias. This helps traders align with the prevailing trend.
🔵 Settings
Number of Trendlines : Sets total lines (max 10, min 3), balancing chart clarity and trend coverage.
Max Look Back : Defines historical bars (min 50) for pivot detection, ensuring robust trendlines.
Pivot Range : Sets pivot sensitivity (min 2), adjusting trendline precision to market volatility.
Show Table Checkbox : Toggles display of a table showing ascending/descending line counts.
Alarm : Enable or Disable the alert.
🔵 Conclusion
The multi slopes indicator, blending pivot-based trendlines and dynamic regression lines, maps market trends with precision. Its dual approach captures both structural and short-term momentum.
Customizable settings, like trendline count and pivot range, adapt to diverse trading styles. The real-time table simplifies trend monitoring, enhancing efficiency. It suits forex, stocks, and crypto markets.
While trendlines anchor long-term trends, regression lines track intraday shifts, offering versatility. Contextual analysis, like price action, boosts signal reliability. This indicator empowers data-driven trading decisions.
BPCO Z-ScoreBPCO Z-Score with Scaled Z-Value and Table
Description:
This custom indicator calculates the Z-Score of a specified financial instrument (using the closing price as a placeholder for the BPCO value), scales the Z-Score between -2 and +2 based on user-defined thresholds, and displays it in a table for easy reference.
The indicator uses a simple moving average (SMA) and standard deviation to calculate the original Z-Score, and then scales the Z-Score within a specified range (from -2 to +2) based on the upper and lower thresholds set by the user.
Additionally, the scaled Z-Score is displayed in a separate table on the right side of the chart, providing a clear, numerical value for users to track and interpret.
Key Features:
BPCO Z-Score: Calculates the Z-Score using a simple moving average and standard deviation over a user-defined window (default: 365 days). This provides a measure of how far the current price is from its historical average in terms of standard deviations.
Scaled Z-Score: The original Z-Score is then scaled between -2 and +2, based on the user-specified upper and lower thresholds. The thresholds default to 3.5 (upper) and -1.5 (lower), and can be adjusted as needed.
Threshold Bands: Horizontal lines are plotted on the chart to represent the upper and lower thresholds. These help visualize when the Z-Score crosses critical levels, indicating potential market overbought or oversold conditions.
Dynamic Table Display: The scaled Z-Score is shown in a dynamic table at the top-right of the chart, providing a convenient reference for traders. The table updates automatically as the Z-Score fluctuates.
How to Use:
Adjust Time Window: The "Z-Score Period (Days)" input allows you to adjust the time period used for calculating the moving average and standard deviation. By default, this is set to 365 days (1 year), but you can adjust this depending on your analysis needs.
Set Upper and Lower Thresholds: Use the "BPCO Upper Threshold" and "BPCO Lower Threshold" inputs to define the bands for your Z-Score. The default values are 3.5 for the upper band and -1.5 for the lower band, but you can adjust them based on your strategy.
Interpret the Z-Score: The Z-Score provides a standardized measure of how far the current price (or BPCO value) is from its historical mean, relative to the volatility. A value above the upper threshold (e.g., 3.5) may indicate overbought conditions, while a value below the lower threshold (e.g., -1.5) may indicate oversold conditions.
Use the Scaled Z-Score: The scaled Z-Score is calculated based on the original Z-Score, but it is constrained to a range between -2 and +2. When the BPCO value hits the upper threshold (3.5), the scaled Z-Score will be +2, and when it hits the lower threshold (-1.5), the scaled Z-Score will be -2. This gives you a clear, easy-to-read value to interpret the market's condition.
Data Sources:
BPCO Data: In this indicator, the BPCO value is represented by the closing price of the asset. The calculation of the Z-Score and scaled Z-Score is based on this price data, but you can modify it to incorporate other data streams as needed (e.g., specific economic indicators or custom metrics).
Indicator Calculation: The Z-Score is calculated using the following formulas:
Mean (SMA): A simple moving average of the BPCO (close price) over the selected period (365 days by default).
Standard Deviation (Std): The standard deviation of the BPCO (close price) over the same period.
Z-Score: (Current BPCO - Mean) / Standard Deviation
Scaled Z-Score: The Z-Score is normalized to fall within a specified range (from -2 to +2), based on the upper and lower threshold inputs.
Important Notes:
Customization: The indicator allows users to adjust the period (window) for calculating the Z-Score, as well as the upper and lower thresholds to suit different timeframes and trading strategies.
Visual Aids: Horizontal lines are drawn to represent the upper and lower threshold levels, making it easy to visualize when the Z-Score crosses critical levels.
Limitations: This indicator relies on historical price data (or BPCO) and assumes that the standard deviation and mean are representative of future price behavior. It does not account for potential market shifts or extreme events that may fall outside historical norms.
PowerHouse SwiftEdge AI v2.10 StrategyOverview
The PowerHouse SwiftEdge AI v2.10 Strategy is a sophisticated trading system designed to identify high-probability trade setups in forex, stocks, and cryptocurrencies. By combining multi-timeframe trend analysis, momentum signals, volume confirmation, and smart money concepts (Change of Character and Break of Structure ), this strategy offers traders a robust tool to capitalize on market trends while minimizing false signals. The strategy’s unique “AI” component analyzes trends across multiple timeframes to provide a clear, actionable dashboard, making it accessible for both novice and experienced traders. The strategy is fully customizable, allowing users to tailor its filters to their trading style.
What It Does
This strategy generates Buy and Sell signals based on a confluence of technical indicators and smart money concepts. It uses:
Multi-Timeframe Trend Analysis: Confirms the market’s direction by analyzing trends on the 1-hour (60M), 4-hour (240M), and daily (D) timeframes.
Momentum Filter: Ensures trades align with strong price movements to avoid choppy markets.
Volume Filter: Validates signals with above-average volume to confirm market participation.
Breakout Filter: Requires price to break key levels for added confirmation.
Smart Money Signals (CHoCH/BOS): Identifies reversals (CHoCH) and trend continuations (BOS) based on pivot points.
AI Trend Dashboard: Summarizes trend strength, confidence, and predictions across timeframes, helping traders make informed decisions without needing to analyze complex data manually.
The strategy also plots dynamic support and resistance trendlines, take-profit (TP) levels, and “Get Ready” signals to alert users of potential setups before they fully develop. Trades are executed with predefined take-profit and stop-loss levels for disciplined risk management.
How It Works
The strategy integrates multiple components to create a cohesive trading system:
Multi-Timeframe Trend Analysis:
The strategy evaluates trends on three timeframes (1H, 4H, Daily) using Exponential Moving Averages (EMA) and Volume-Weighted Average Price (VWAP). A trend is considered bullish if the price is above both the EMA and VWAP, bearish if below, or neutral otherwise.
Signals are only generated when the trend on the user-selected higher timeframe aligns with the trade direction (e.g., Buy signals require a bullish higher timeframe trend). This reduces noise and ensures trades follow the broader market context.
Momentum Filter:
Measures the percentage price change between consecutive bars and compares it to a volatility-adjusted threshold (based on the Average True Range ). This ensures trades are taken only during significant price movements, filtering out low-momentum conditions.
Volume Filter (Optional):
Checks if the current volume exceeds a long-term average and shows positive short-term volume change. This confirms strong market participation, reducing the risk of false breakouts.
Breakout Filter (Optional):
Requires the price to break above (for Buy) or below (for Sell) recent highs/lows, ensuring the signal aligns with a structural shift in the market.
Smart Money Concepts (CHoCH/BOS):
Change of Character (CHoCH): Detects potential reversals when the price crosses under a recent pivot high (for Sell) or over a recent pivot low (for Buy) with a bearish or bullish candle, respectively.
Break of Structure (BOS): Confirms trend continuations when the price breaks below a recent pivot low (for Sell) or above a recent pivot high (for Buy) with strong momentum.
These signals are plotted as horizontal lines with labels, making it easy to visualize key levels.
AI Trend Dashboard:
Combines trend direction, momentum, and volatility (ATR) across timeframes to calculate a trend score. Scores above 0.5 indicate an “Up” trend, below -0.5 indicate a “Down” trend, and otherwise “Neutral.”
Displays a table summarizing trend strength (as a percentage), AI confidence (based on trend alignment), and Cumulative Volume Delta (CVD) for market context.
A second table (optional) shows trend predictions for 1H, 4H, and Daily timeframes, helping traders anticipate future market direction.
Dynamic Trendlines:
Plots support and resistance lines based on recent swing lows and highs within user-defined periods (shortTrendPeriod, longTrendPeriod). These lines adapt to market conditions and are colored based on trend strength.
Why This Combination?
The PowerHouse SwiftEdge AI v2.10 Strategy is original because it seamlessly integrates traditional technical analysis (EMA, VWAP, ATR, volume) with smart money concepts (CHoCH, BOS) and a proprietary AI-driven trend analysis. Unlike standalone indicators, this strategy:
Reduces False Signals: By requiring confluence across trend, momentum, volume, and breakout filters, it minimizes trades in choppy or low-conviction markets.
Adapts to Market Context: The ATR-based momentum threshold adjusts dynamically to volatility, ensuring signals remain relevant in both trending and ranging markets.
Simplifies Decision-Making: The AI dashboard distills complex multi-timeframe data into a user-friendly table, eliminating the need for manual analysis.
Leverages Smart Money: CHoCH and BOS signals capture institutional price action patterns, giving traders an edge in identifying reversals and continuations.
The combination of these components creates a balanced system that aligns short-term trade entries with longer-term market trends, offering a unique blend of precision, adaptability, and clarity.
How to Use
Add to Chart:
Apply the strategy to your TradingView chart on a liquid symbol (e.g., EURUSD, BTCUSD, AAPL) with a timeframe of 60 minutes or lower (e.g., 15M, 60M).
Configure Inputs:
Pivot Length: Adjust the number of bars (default: 5) to detect pivot highs/lows for CHoCH/BOS signals. Higher values reduce noise but may delay signals.
Momentum Threshold: Set the base percentage (default: 0.01%) for momentum confirmation. Increase for stricter signals.
Take Profit/Stop Loss: Define TP and SL in points (default: 10 each) for risk management.
Higher/Lower Timeframe: Choose timeframes (60M, 240M, D) for trend filtering. Ensure the chart timeframe is lower than or equal to the higher timeframe.
Filters: Enable/disable momentum, volume, or breakout filters to suit your trading style.
Trend Periods: Set shortTrendPeriod (default: 30) and longTrendPeriod (default: 100) for trendline plotting. Keep below 2000 to avoid buffer errors.
AI Dashboard: Toggle Enable AI Market Analysis to show/hide the prediction table and adjust its position.
Interpret Signals:
Buy/Sell Labels: Green "Buy" or red "Sell" labels indicate trade entries with predefined TP/SL levels plotted.
Get Ready Signals: Yellow "Get Ready BUY" or orange "Get Ready SELL" labels warn of potential setups.
CHoCH/BOS Lines: Aqua (CHoCH Sell), lime (CHoCH Buy), fuchsia (BOS Sell), or teal (BOS Buy) lines mark key levels.
Trendlines: Green/lime (support) or fuchsia/purple (resistance) dashed lines show dynamic support/resistance.
AI Dashboard: Check the top-right table for trend strength, confidence, and CVD. The optional bottom table shows trend predictions (Up, Down, Neutral).
Backtest and Trade:
Use TradingView’s Strategy Tester to evaluate performance. Adjust TP/SL and filters based on results.
Trade manually based on signals or automate with TradingView alerts (set alerts for Buy/Sell labels).
Originality and Value
The PowerHouse SwiftEdge AI v2.10 Strategy stands out by combining multi-timeframe analysis, smart money concepts, and an AI-driven dashboard into a single, user-friendly system. Its adaptive momentum threshold, robust filtering, and clear visualizations empower traders to make confident decisions without needing advanced technical knowledge. Whether you’re a day trader or swing trader, this strategy provides a versatile, data-driven approach to navigating dynamic markets.
Important Notes:
Risk Management: Always use appropriate position sizing and risk management, as the strategy’s TP/SL levels are customizable.
Symbol Compatibility: Test on liquid symbols with sufficient historical data (at least 2000 bars) to avoid buffer errors.
Performance: Backtest thoroughly to optimize settings for your market and timeframe.
iLoggerLibrary "iLogger"
Logger Library based on types and methods.
method init(this)
init will initialize logger table and log stream array
Namespace types: Logger
Parameters:
this (Logger) : Logger object
Returns: void
method getLogger(level)
Namespace types: series LogLevel
Parameters:
level (series LogLevel)
method setPage(this, pageNumber)
setPage will set current page number of logs to display
Namespace types: Logger
Parameters:
this (Logger) : Logger object
pageNumber (int) : - Page number of logs to display
Returns: void
method nextPage(this)
nextPage will incremement page number to display on screen
Namespace types: Logger
Parameters:
this (Logger) : Logger object
Returns: void
method previousPage(this)
previousPage will decrement page number to display on screen
Namespace types: Logger
Parameters:
this (Logger) : Logger object
Returns: void
method log(this, level, message)
log will record message to be logged and repopulate logs displayed
Namespace types: Logger
Parameters:
this (Logger) : Logger object
level (series LogLevel) : logging level. Can be `TRACE`, `DEBUG`, `INFO`, `WARN`, `ERROR`, `FATAL`, `CRITICAL`. Logs only if log level is higher than Loggers minimul log level set
message (string) : log message to be recorded
Returns: void
method trace(this, message)
trace will record message to be logged with level 'TRACE'
Namespace types: Logger
Parameters:
this (Logger) : Logger object
message (string) : log message to be recorded
Returns: void
method debug(this, message)
debug will record message to be logged with level 'DEBUG'
Namespace types: Logger
Parameters:
this (Logger) : Logger object
message (string) : log message to be recorded
Returns: void
method info(this, message)
info will record message to be logged with level 'INFO'
Namespace types: Logger
Parameters:
this (Logger) : Logger object
message (string) : log message to be recorded
Returns: void
method warn(this, message)
warn will record message to be logged with level 'WARN'
Namespace types: Logger
Parameters:
this (Logger) : Logger object
message (string) : log message to be recorded
Returns: void
method error(this, message)
error will record message to be logged with level 'ERROR'
Namespace types: Logger
Parameters:
this (Logger) : Logger object
message (string) : log message to be recorded
Returns: void
method fatal(this, message)
fatal will record message to be logged with level 'FATAL'
Namespace types: Logger
Parameters:
this (Logger) : Logger object
message (string) : log message to be recorded
Returns: void
Log
Log Object holding log entry
Fields:
level (series LogLevel) : Logging level
message (series string) : Logging message
bartime (series int) : bar time at which log is recorded
bar (series int) : bar index at which log is recorded
Logger
Logger object which can be used for logging purposes
Fields:
position (series string) : position on chart where logs can be shown. Valid values are table position values. Make sure that the script does not have any other table at this position
pageSize (series int) : size of each page of logs which can be shown on UI. Default is 10
maxEntries (series int) : max size logs to be stored
pageNumber (series int) : current page number of logs to display on chart
textSize (series string) : size of text on debug table to be shown. default is size.small. Other options - size.tiny, size.normal, size.large, size.huge, size.auto
textColor (series color) : text color of debug messages. Default is color.white
showOnlyLast (series bool) : If set, shows the logs derived only from last bar. Default is true
minimumLevel (series LogLevel) : Minimum level of logs to be considered for logging.
realTime (series bool) : Print logs based on real time bar. This should be set to true for debugging indicators and false for debugging strategies.
debugTable (series table) : table containing debug messages. It will be set in init method. Hence no need to pass this in constructor
logs (array) : Array of Log containing logging messages. It will be set in init method. Hence no need to pass this in constructor
PumpC Opening Range Breakout (ORB) 5min Range📄 PumpC ORB 5-Minute Opening Range Breakout Indicator
✨ Overview
The PumpC ORB 5-Minute Opening Range Breakout indicator captures early session price action by tracking the high, low, and open of a defined 5-minute window at market open (customized for Futures or Stocks).
It plots breakout levels, extension targets, average range calculations, volume tracking, and provides visual and table-based data summaries.
This indicator is designed for traders seeking a complete, clean visualization of Opening Range Breakouts (ORB) with flexible customization.
⚙️ Main Features
Opening Range Box (ORB Box) Draws a box around the high and low of the first 5-minute session (8:30–8:35 ET for Futures, 9:30–9:35 ET for Stocks). Box extends from the session open to the session close (4:00 PM ET). Option to enable/disable historical boxes. Box color and opacity are customizable. Core ORB Levels Open Level: Plots the open price of the 5-minute ORB window. ORB Levels: Plots breakout levels at multiples: +0.5x the range +1.5x the range (customizable factor) Each level has independent color settings and visibility toggles. Option to show or hide historic extension levels. Table Display Compact table in the top-right corner showing: ORB ATR (average range) ORB ATR in ticks Today's ORB range ORB Volume ATR (average volume during ORB) Today's ORB Volume Volume is formatted automatically into "K" (thousands) or "M" (millions) for readability. Background Highlights After the ORB window closes: Blue highlight if today's ORB range is greater than the 10-day ATR average. Orange highlight if today's ORB range is smaller than the 10-day ATR average. Helps quickly assess relative strength or weakness compared to historical behavior. Alerts Breakout Confirmations: Fires when price closes above ORB High or below ORB Low. Fallout Traps: Alerts when price wick crosses ORB High/Low but closes back inside the range. Alerts use clean titles and simple messages for easy identification.
🔧 Inputs and Customization
Mode Toggle: Choose between Futures (8:30 ET open) or Stocks (9:30 ET open). Show/Hide Labels: Control label visibility for ORB and extension levels. Line Width Control: Customize thickness for ORB lines and extension levels. ORB Level Level Visibility: Independently enable or disable each extension line. Table Appearance: Customize table background color, font color, and padding. ORB Box Settings: Customize box color and control whether historical boxes are drawn.
📚 How to Use
Select Mode: Choose Futures or Stocks depending on your instrument. Observe the Opening Range: Focus on the ORB High and ORB Low during the first 5 minutes after the open. Monitor Breakouts: Breakout alerts will fire when price closes outside the ORB range, signaling potential continuation. Watch for Fallout Traps: Fallout alerts signal when price briefly wicks above/below but closes back inside the ORB range. Use Table Metrics: Instantly compare today's ORB range and volume versus historical averages to assess session strength or weakness.
🛡️ Notes
Best used on the 1-minute or 5-minute chart for intraday trading. Ensure your TradingView chart time zone is set to New York for correct functioning. Alerts must be manually configured after adding the indicator to your chart.
D3m4h GIFVGDescription
D3m4h GIFVG is an indicator designed to automatically detect market imbalances—often referred to as FVGs (Fair Value Gaps)—and potential pivot-based shifts in market structure. It offers a dynamic approach to visualizing supply/demand inefficiencies and pivot-based trend changes. Key features include:
1. Pivot-Based Bullish/Bearish Detection
The indicator identifies higher-high/lower-low pivot logic as well as “outside bar” pivots.
It tracks when the market transitions from bullish to bearish ranges, or vice versa, by using multiple checks:
Pivot low/high detection
Break-of-structure (when price crosses the last pivot)
Opposing FVG detection to confirm an intraday pivot shift
2. FVG (Fair Value Gap) Detection
The script automatically scans for bullish or bearish FVG conditions:
Bullish FVG: Candle at position (bar_index - 2) has a high below the current candle’s low.
Bearish FVG: Candle at position (bar_index - 2) has a low above the current candle’s high.
When it detects an FVG, it draws a box on the chart to highlight the price gap (yellow boxes by default).
3. Pivot Range FVG
If an FVG forms while the market is in a bullish pivot range, the script can paint a special “blue” FVG to underscore its significance. The same logic applies if a newly formed FVG appears in a bearish pivot range.
4. Filled Gap Cleanup
You can optionally hide standard FVG boxes once they’re filled. For example, if the candle’s body (or candle range) covers that gap, the box is removed to keep your chart clean.
5. Pivot-Range FVG “Raided” Cleanup
If the pivot-based FVG is later filled from the opposing direction, it turns green and can optionally remove itself after a set number of bars.
6. Informative Table
A small table on the chart optionally displays whether or not the pivot-based FVG has been “raided”. You can toggle this table on/off in the settings.
How It Works
1. Pivot Shifts
The script tracks the last pivot high/low using a combination of candle-based pivot detection and break-of-structure checks (when price crosses the last pivot in the opposite direction).
When a shift is detected, the pivot range ID increments—this helps the script know when to remove old pivot-based FVGs or draw new ones.
2. FVG Formation
Each new bar checks if a bullish or bearish FVG formed (comparing the high of bar two bars ago to the current low, or the low of bar two bars ago to the current high).
If one is found, a box is drawn to highlight the imbalance. Its color and extension depend on script settings.
3. Imbalance or Pivot FVG
Standard imbalance boxes appear in yellow.
If the new imbalance coincides with a bullish or bearish pivot range, a special “pivot imbalance” box in blue is drawn.
3. Hide Filled
If a newly formed candle’s body fully covers the FVG, the box is considered filled. If Hide Filled Gaps is enabled, the box is deleted once it’s covered.
4. Raid Status
For the pivot-based (blue) FVG, once price invalidates it from the opposite side, it changes color to green and gets removed after a user-defined number of bars.
How to Use
1. Look for FVGs
Observe yellow boxes to identify potential intraday imbalances. Watch for price returning to fill these zones.
If you see a “blue” box, it signifies a pivot-based FVG in line with a recognized shift in structure—arguably a higher-probability zone.
2. “Hide Filled Gaps”
Turn this on if you only want to see currently active or partially filled imbalances. The script cleans up old, fully covered boxes to keep your chart neat.
3. Pivot Shifts
Note the script’s internal pivot logic. Each new pivot re-defines bullish or bearish states. Use these states to gauge the short-term trend shifts.
4. Toggle the Table
You can show or hide the chart table by enabling/disabling “Show Table” from the inputs. This table indicates if the pivot-based “GIFVG” has been “raided” or not.
5. Extend Count
Adjust the extendCount in the code if you want FVG boxes to extend further or shorter in time.
Underlying Concepts
Fair Value Gaps
Market inefficiencies that occur when price jumps, leaving a “gap” from the candle 2 bars ago to the current candle. They can act like mini supply/demand zones where price may revisit for balance.
Pivot Ranges
The script tries to maintain an internal sense of whether the market is in a bullish or bearish pivot range. When it sees a contrary FVG or break-of-structure, it flips the pivot state.
Outside Bars
A candle that has both a higher high and a lower low than the previous bar. The script uses these to mark significant pivot shifts.
By combining pivot-based logic with FVG detection, the D3m4h GIFVG indicator helps highlight potential areas of liquidity or unfilled value. Traders can use these zones to plan entries/exits or to confirm short-term trend shifts.
Uptrick: Acceleration ShiftsIntroduction
Uptrick: Acceleration Shifts is designed to measure and visualize price momentum shifts by focusing on acceleration —the rate of change in velocity over time. It uses various moving average techniques as a trend filter, providing traders with a clearer perspective on market direction and potential trade entries or exits.
Purpose
The main goal of this indicator is to spot strong momentum changes (accelerations) and confirm them with a chosen trend filter. It attempts to distinguish genuine market moves from noise, helping traders make more informed decisions. The script can also trigger multiple entries (smart pyramiding) within the same trend, if desired.
Overview
By measuring how quickly price velocity changes (acceleration) and comparing it against a smoothed average of itself, this script generates buy or sell signals once the acceleration surpasses a given threshold. A trend filter is added for further validation. Users can choose from multiple smoothing methods and color schemes, and they can optionally enable a small table that displays real-time acceleration values.
Originality and Uniqueness
This script offers an acceleration-based approach, backed by several different moving average choices. The blend of acceleration thresholds, a trend filter, and an optional extra-entry (pyramiding) feature provides a flexible toolkit for various trading styles. The inclusion of multiple color themes and a slope-based coloring of the trend line adds clarity and user customization.
Inputs & Features
1. Acceleration Length (length)
This input determines the number of bars used when calculating velocity. Specifically, the script computes velocity by taking the difference in closing prices over length bars, and then calculates acceleration based on how that velocity changes over an additional length. The default is 14.
2. Trend Filter Length (smoothing)
This sets the lookback period for the chosen trend filter method. The default of 50 results in a moderately smooth trend line. A higher smoothing value will create a slower-moving trend filter.
3. Acceleration Threshold (threshold)
This multiplier determines when acceleration is considered strong enough to trigger a main buy or sell signal. A default value of 2.5 means the current acceleration must exceed 2.5 times the average acceleration before signaling.
4. Smart Pyramiding Strength (pyramidingThreshold)
This lower threshold is used for additional (pyramiding) entries once the main trend has already been identified. For instance, if set to 0.5, the script looks for acceleration crossing ±0.5 times its average acceleration to add extra positions.
5. Max Pyramiding Entries (maxPyramidingEntries)
This sets a limit on how many extra positions can be opened (beyond the first main signal) in a single directional trend. The default of 3 ensures traders do not become overexposed.
6. Show Acceleration Table (showTable)
When enabled, a small table displaying the current acceleration and its average is added to the top-right corner of the chart. This table helps monitor real-time momentum changes.
7. Smart Pyramiding (enablePyramiding)
This toggle decides whether additional entries (buy or sell) will be generated once a main signal is active. If enabled, these extra signals act as filtered entries, only firing when acceleration re-crosses a smaller threshold (pyramidingThreshold). These signals have a '+' next to their signal on the label.
8. Select Color Scheme (selectedColorScheme)
Allows choosing between various pre-coded color themes, such as Default, Emerald, Sapphire, Golden Blaze, Mystic, Monochrome, Pastel, Vibrant, Earth, or Neon. Each theme applies a distinct pair of colors for bullish and bearish conditions.
9. Trend Filter (TrendFilter)
Lets the user pick one of several moving average approaches to determine the prevailing trend. The options include:
Short Term (TEMA)
EWMA
Medium Term (HMA)
Classic (SMA)
Quick Reaction (DEMA)
Each method behaves differently, balancing reactivity and smoothness.
10. Slope Lookback (slopeOffset)
Used to measure the slope of the trend filter over a set number of bars (default is 10). This slope then influences the coloring of the trend filter line, indicating bullish or bearish tilt.
Note: The script refers to this as the "Massive Slope Index," but it effectively serves as a Trend Slope Calculation, measuring how the chosen trend filter changes over a specified period.
11. Alerts for Buy/Sell and Pyramiding Signals
The script includes built-in alert conditions that can be enabled or configured. These alerts trigger whenever the script detects a main Buy or Sell signal, as well as extra (pyramiding) signals if Smart Pyramiding is active. This feature allows traders to receive immediate notifications or automate a trading response.
Calculation Methodology
1. Velocity and Acceleration
Velocity is derived by subtracting the closing price from its value length bars ago. Acceleration is the difference in velocity over an additional length period. This highlights how quickly momentum is shifting.
2. Average Acceleration
The script smooths raw acceleration with a simple moving average (SMA) using the smoothing input. Comparing current acceleration against this average provides a threshold-based signal mechanism.
3. Trend Filter
Users can pick one of five moving average types to form a trend baseline. These range from quick-reacting methods (DEMA, TEMA) to smoother options (SMA, HMA, EWMA). The script checks whether the price is above or below this filter to confirm trend direction.
4. Buy/Sell Logic
A buy occurs when acceleration surpasses avgAcceleration * threshold and price closes above the trend filter. A sell occurs under the opposite conditions. An additional overbought/oversold check (based on a longer SMA) refines these signals further.
When price is considered oversold (i.e., close is below a longer-term SMA), a bullish acceleration signal has a higher likelihood of success because it indicates that the market is attempting to reverse from a lower price region. Conversely, when price is considered overbought (close is above this longer-term SMA), a bearish acceleration signal is more likely to be valid. This helps reduce false signals by waiting until the market is extended enough that a reversal or continuation has a stronger chance of following through.
5. Smart Pyramiding
Once a main buy or sell signal is triggered, additional (filtered) entries can be taken if acceleration crosses a smaller multiplier (pyramidingThreshold). This helps traders scale into strong moves. The script enforces a cap (maxPyramidingEntries) to limit risk.
6. Visual Elements
Candles can be recolored based on the active signal. Labels appear on the chart whenever a main or pyramiding entry signal is triggered. An optional table can show real-time acceleration values.
Color Schemes
The script includes a variety of predefined color themes. For bullish conditions, it might use turquoise or green, and for bearish conditions, magenta or red—depending on which color scheme the user selects. Each scheme aims to provide clear visual differentiation between bullish and bearish market states.
Why Each Indicator Was Part of This Component
Acceleration is employed to detect swift changes in momentum, capturing shifts that may not yet appear in more traditional measures. To further adapt to different trading styles and market conditions, several moving average methods are incorporated:
• TEMA (Triple Exponential Moving Average) is chosen for its ability to reduce lag more effectively than a standard EMA while still reacting swiftly to price changes. Its construction layers exponential smoothing in a way that can highlight sudden momentum shifts without sacrificing too much smoothness.
• DEMA (Double Exponential Moving Average) provides a faster response than a single EMA by using two layers of exponential smoothing. It is slightly less smoothed than TEMA but can alert traders to momentum changes earlier, though with a higher risk of noise in choppier markets.
• HMA (Hull Moving Average) is known for its balance of smoothness and reduced lag. Its weighted calculations help track trend direction clearly, making it useful for traders who want a smoother line that still reacts fairly quickly.
• SMA (Simple Moving Average) is the classic baseline for smoothing price data. It offers a clear, stable perspective on long-term trends, though it reacts more slowly than other methods. Its simplicity can be beneficial in lower-volatility or more stable market environments.
• EWMA (Exponentially Weighted Moving Average) provides a middle ground by emphasizing recent price data while still retaining some degree of smoothing. It typically responds faster than an SMA but is less aggressive than DEMA or TEMA.
Alongside these moving average techniques, the script employs a slope calculation (referred to as the “Massive Slope Index”) to visually indicate whether the chosen filter is sloping upward or downward. This adds an extra layer of clarity to directional analysis. The indicator also uses overbought/oversold checks, based on a longer-term SMA, to help filter out signals in overstretched markets—reducing the likelihood of false entries in conditions where the price is already extensively extended.
Additional Features
Alerts can be set up for both main signals and additional pyramiding signals, which is helpful for automated or semi-automated trading. The optional acceleration table offers quick reference values, making momentum monitoring more intuitive. Including explicit alert conditions for Buy/Sell and Pyramiding ensures traders can respond promptly to market movements or integrate these triggers into automated strategies.
Summary
This script serves as a comprehensive momentum-based trading framework, leveraging acceleration metrics and multiple moving average filters to identify potential shifts in market direction. By combining overbought/oversold checks with threshold-based triggers, it aims to reduce the noise that commonly plagues purely reactive indicators. The flexibility of Smart Pyramiding, customizable color schemes, and built-in alerts allows users to tailor their experience and respond swiftly to valid signals, potentially enhancing trading decisions across various market conditions.
Disclaimer
All trading involves significant risk, and users should apply their own judgment, risk management, and broader analysis before making investment decisions.
PnL MonitorThe PnL Monitor is a customizable tool designed to help traders track the Profit and Loss (PnL) of up to 20 currency pairs or assets in real-time. This script provides a clear and organized table that displays the entry price, and PnL percentage for each pair, making it an essential tool for monitoring open positions or tracking potential trades.
Key Features:
Multi-Asset Tracking:
Monitor up to 20 currency pairs or assets simultaneously. Simply input the pair symbol and your entry price, and the script will calculate the PnL in real-time.
Dynamic Table Positioning:
Choose where the table appears on your chart with the Table Position input. Options include:
Top Left
Top Right
Bottom Left
Bottom Right
Real-Time PnL Calculation:
The script fetches the current price of each pair and calculates the PnL percentage based on your entry price. Positive PnL is highlighted in green, while negative PnL is highlighted in red.
Exchange and Pair Separation:
The script automatically separates the exchange name (if provided) from the pair symbol, making it easier to identify the source of the data.
Customizable Inputs:
Add or remove pairs as needed.
Leave the price field blank for pairs you don’t want to track.
How to Use:
Input Your Pairs:
In the script settings, input the symbol of the pair (e.g., NASDAQ:AAPL or BTCUSD) and your entry price. Leave the price field blank for pairs you don’t want to track.
Choose Table Position:
Select where you want the table to appear on your chart.
Monitor PnL:
The table will automatically update with the current price and PnL percentage for each pair.
Why Use This Script?
Efficiency: Track multiple pairs in one place without switching charts.
Clarity: Easily identify profitable and losing positions at a glance.
Flexibility: Customize the table to fit your trading style and preferences.
Ideal For:
Forex, crypto, and stock traders managing multiple positions.
Sector/Industry Relative StrengthOverview
The Sector/Industry Relative Strength (RS) Indicator is a powerful tool designed to help traders and investors analyze the performance of sectors and industries relative to the broader market (SPY). It provides real-time insights into sector and industry strength, helping you identify leading and lagging areas of the market.
Key Features
Sector and Industry Analysis:
Automatically detects the sector and industry of the current symbol.
Displays the corresponding sector and industry ETF.
Relative Strength (STS) Calculation:
Calculates the Sector/Industry Trend Strength (STS) by comparing the sector or industry ETF to SPY over the past 20 days.
STS is expressed as a percentile (0-100), indicating how strong the sector/industry ETF has been relative to SPY over the past 20 days.
Example: An STS of 70 means that during the past 20 days, the ETF’s relative strength against SPY was stronger than 70% of those days.
Sector Rank:
Ranks the current sector ETF against a predefined list of major sector ETFs.
Highlights whether the sector is outperforming or underperforming SPY (green if outperforming, red if underperforming).
Customizable Display:
Choose which elements to display (e.g., sector, industry, ETFs, STS, sector rank).
Customize table position, size, text alignment, and colors.
Real-Time Performance:
Tracks daily price changes for sector and industry ETFs.
Displays percentage change from open to close.
How to Use
Add the Indicator:
Apply the indicator to any stock or ETF chart.
The script will automatically detect the sector and industry of the selected symbol.
Interpret the Data:
Sector/Industry: Displays the current sector and industry.
ETF: Shows the corresponding sector and industry ETF.
STS (Sector/Industry Trend Strength): A percentile score (0-100) indicating the relative strength of the sector/industry ETF compared to SPY over the past 20 days.
Sector Rank: Ranks the sector ETF against other major sectors (e.g., "3/12" means the sector is ranked 3rd out of 12).
Customize the Display:
Use the input settings to:
Show/hide specific elements (e.g., sector, industry, ETFs, STS, sector rank).
Adjust the table position, size, and text alignment.
Change colors for positive/negative changes.
Make Informed Decisions:
Use the STS score and sector rank to identify potential trading opportunities.
Focus on sectors and industries with high STS scores and strong rankings (green).
Input Parameters
Table Settings:
Table Position: Choose where to display the table (Top Left, Top Right, Bottom Left, Bottom Right).
Table Size: Adjust the size of the table (Tiny, Small, Normal, Large).
Text Color: Customize the text color.
Background Color: Set the table background color.
Display Options:
Show ETFs: Toggle the display of sector and industry ETFs.
Show STS: Toggle the display of the Sector/Industry Trend Strength (STS) score.
Show Sector/Industry: Toggle the display of sector and industry information.
Show Sector Rank: Toggle the display of the sector rank.
Parameters:
Sector Rank Time Length: Set the number of days used for calculating the sector rank (default: 20).
Example Use Cases
Sector Rotation:
Identify sectors with high STS scores and strong rankings (green) to allocate capital.
Avoid sectors with low STS scores and weak rankings (red).
Industry Analysis:
Compare the STS scores of different industries within the same sector.
Use the STS score to gauge relative strength and identify potential opportunities.
Market Timing:
Use the STS score and sector rank to time entries and exits in sector-specific ETFs.
Combine with other technical indicators for confirmation.
Oracle Ema : sma simple Indicator: Gradient Moving Average with Table
Overview
The Gradient Moving Average with Table is a visual-enhanced moving average indicator that dynamically changes its color based on price movements. It provides a smooth gradient effect on the moving average line and includes a table that indicates whether the price is above or below the MA, using turquoise and pink colors for clear visibility.
🔹 Key Features
✅ Dynamic Gradient Effect on EMA/SMA
The moving average line gradually changes color based on price movement.
Fuchsia (pink) when the MA is decreasing.
Blue when the MA is increasing.
✅ Price Position Table (Top-Right Corner)
Displays whether the price is above (turquoise) or below (pink/fuchsia) the moving average.
Adapts automatically based on EMA or SMA selection.
✅ Customizable Inputs
Choose EMA or SMA as the base moving average.
Adjust gradient intensity to control color transparency.
Toggle the table display ON/OFF.
📊 How It Works
1️⃣ The script calculates a moving average (SMA or EMA).
2️⃣ It determines price movement (uptrend or downtrend) based on price difference.
3️⃣ A gradient color effect is applied dynamically:
The more volatile the movement, the stronger the gradient effect.
Less transparency for strong trends, more transparency for stable zones.
4️⃣ A real-time table shows whether the price is above or below the MA, with colors:
Turquoise (Above)
Pink/Fuchsia (Below)
🛠 Customization Options
Moving Average Type: Select EMA or SMA.
Gradient Intensity: Adjust the transparency and color effect strength.
Table Display: Toggle the table ON or OFF.
🎯 Ideal For
Traders who want a clear visual representation of market trends.
Scalpers and swing traders needing quick trend recognition.
Users who prefer color-coded visual aids over complex charts.
This indicator enhances traditional moving averages with a modern gradient effect and real-time status updates for quick decision-making. 🚀
Month of Year Performance█ OVERVIEW
The Month of Year Performance indicator is designed to visualize and compare the cumulative percentage change for each month of the year. By aggregating monthly returns, it helps uncover seasonal trends and potential anomalies in financial markets.
In financial analysis, a calendar based anomaly refers to recurring patterns or tendencies associated with specific time periods, such as days of the week. By calculating the cumulative percentage change for each month (January through December) and displaying the results both graphically and in a summary table, this indicator helps identify whether certain months
consistently outperform others.
█ FEATURES
Customisable time window via Time Settings.
Calculates cumulative percentage change for each month (January to December) separately.
Built-in error check to ensure the indicator is applied on a Monthly timeframe.
Distinct visual representation for each month using unique colours.
Customisable table settings including location and font size.
Displays a performance summary table with metrics such as performance, average return, % positive, and count.
█ HOW TO USE
Add the indicator to a chart set to a Monthly timeframe.
Select your desired Start Time and End Time in the Time Settings.
Toggle the performance table on or off in the Table Settings.
Adjust the table’s location and font size as needed.
View the cumulative monthly performance plotted in distinct colours.
Colour Scheme:
January: Blue
February: Red
March: Green
April: Orange
May: Purple
June: Fuchsia
July: Teal
August: Yellow
September: Navy
October: Lime
November: Maroon
December: Aqua
Volume Data Customized TimeframeThe "Volume Data Customized Timeframe" (VolData CTF) indicator provides traders with an enhanced volume analysis tool that aggregates buy and sell volume over a user-defined timeframe. It enables a comparative assessment of bullish and bearish volume trends, offering deeper insights into market sentiment. The indicator features a customizable display table with user-selectable themes and positioning, providing essential volume metrics for improved trading decisions.
1. Introduction:
The "Volume Data Customized Timeframe" indicator is designed to help traders analyze volume trends across different timeframes. It allows users to customize the period for volume calculations, view the ratio of selling to buying volume, and present the data in a user-friendly table format.
2. Features:
Selectable timeframe for volume analysis (default: chart timeframe)
Calculation of bullish (buy) and bearish (sell) volume
Customizable table size, theme, and positioning
Displays key volume metrics:
Total Buy Volume
Total Sell Volume
Sell/Buy Volume Ratio
Analysis period in minutes, days, weeks, or months
3. Indicator Inputs:
Average Volume Lookback (n): Number of bars used to calculate volume statistics.
Select Timeframe: Custom timeframe for volume calculations (leave empty to use the chart's timeframe).
Table Size: Choose from Small, Medium, or Big to adjust text size.
Table Theme: Choose between Light and Dark themes.
Table Position: Place the table in any corner of the chart (top-left, top-right, bottom-left, bottom-right).
4. How It Works:
The indicator retrieves volume data for the selected timeframe.
It aggregates bullish and bearish volume based on the lookback period.
The sell-to-buy volume ratio is calculated and color-coded (green for bullish dominance, red for bearish dominance).
The volume statistics are displayed in a customizable table for easy reference.
5. Interpretation:
Δ BUY VOL: Represents the total volume of bullish (up-closing) bars within the lookback period.
Δ SELL VOL: Represents the total volume of bearish (down-closing) bars within the lookback period.
Δ SELL/Δ BUY: The ratio of bearish to bullish volume; values above 1 indicate more selling pressure, while values below 1 indicate buying dominance.
Period (M/D/W/M): Displays the selected timeframe for volume aggregation.
Volume Delta Candles HTF [TradingFinder] LTF Volume Candles 🔵 Introduction
In financial markets, understanding the concepts of supply and demand and their impact on price movements is of paramount importance. Supply and demand, as fundamental pillars of economics, reflect the interaction between buyers and sellers.
When buyers' strength surpasses that of sellers, demand increases, and prices tend to rise. Conversely, when sellers dominate buyers, supply overtakes demand, causing prices to drop. These interactions play a crucial role in determining market trends, price reversal points, and trading decisions.
Volume Delta Candles offer traders a practical way to visualize trading activity within each candlestick. By integrating data from lower timeframes or live market feeds, these candles eliminate the need for standalone volume indicators.
They present the proportions of buying and selling volume as intuitive colored bars, making it easier to interpret market dynamics at a glance. Additionally, they encapsulate critical metrics like peak delta, lowest delta, and net delta, allowing traders to grasp the market's internal order flow with greater precision.
In financial markets, grasping the interplay between supply and demand and its influence on price movements is crucial for successful trading. These fundamental economic forces reflect the ongoing balance between buyers and sellers in the market.
When buyers exert greater strength than sellers, demand dominates, driving prices upward. Conversely, when sellers take control, supply surpasses demand, and prices decline. Understanding these dynamics is essential for identifying market trends, pinpointing reversal points, and making informed trading decisions.
Volume Delta Candles provide an innovative method for evaluating trading activity within individual candlesticks, offering a simplified view without relying on separate volume indicators. By leveraging lower timeframe or real-time data, this tool visualizes the distribution of buying and selling volumes within a candle through color-coded bars.
This visual representation enables traders to quickly assess market sentiment and understand the forces driving price action. Buyer and seller strength is a critical concept that focuses on the ratio of buying to selling volumes. This ratio not only provides insights into the market's current state but also serves as a leading indicator for detecting potential shifts in trends.
Traders often rely on volume analysis to identify significant supply and demand zones, guiding their entry and exit strategies. Delta Candles translate these complex metrics, such as Maximum Delta, Minimum Delta, and Final Delta, into an easy-to-read visual format using Japanese candlestick structures, making them an invaluable resource for analyzing order flows and market momentum.
By merging the principles of supply and demand with comprehensive volume analysis, tools like the indicator introduced here offer unparalleled clarity into market behavior. This indicator calculates the relative strength of supply and demand for each candlestick by analyzing the ratio of buyers to sellers.
🔵 How to Use
The presented indicator is a powerful tool for analyzing supply and demand strength in financial markets. It helps traders identify the strengths and weaknesses of buyers and sellers and utilize this information for better decision-making.
🟣 Analyzing the Highest Volume Trades on Candles
A unique feature of this indicator is the visualization of price levels with the highest trade volume for each candlestick. These levels are marked as black lines on the candles, indicating prices where most trades occurred. This information is invaluable for identifying key supply and demand zones, which often act as support or resistance levels.
🟣 Trend Confirmation
The indicator enables traders to confirm bullish or bearish trends by observing changes in buyer and seller strength. When buyer strength increases and demand surpasses supply, the likelihood of a bullish trend continuation grows. Conversely, decreasing buyer strength and increasing seller strength may signal a potential bearish trend reversal.
🟣 Adjusting Timeframes and Calculation Methods
Users can customize the indicator's candlestick timeframe to align with their trading strategy. Additionally, they can switch between moving average and current candle modes to achieve more precise market analysis.
This indicator, with its accurate and visual data display, is a practical and reliable tool for market analysts and traders. Using it can help traders make better decisions and identify optimal entry and exit points.
🔵 Settings
Lower Time Frame Volume : This setting determines which timeframe the indicator should use to identify the price levels with the highest trade volume. These levels, displayed as black lines on the candlesticks, indicate prices where the most trades occurred.
It is recommended that users align this timeframe with their primary chart’s timeframe.
As a general rule :
If the main chart’s timeframe is low (e.g., 1-minute or 5-minute), it is better to keep this setting at a similarly low timeframe.
As the main chart’s timeframe increases (e.g., daily or weekly), it is advisable to set this parameter to a higher timeframe for more aligned data analysis.
Cumulative Mode :
Current Candle : Strength is calculated only for the current candlestick.
EMA (Exponential Moving Average) : The strength is calculated using an exponential moving average, suitable for identifying longer-term trends.
Calculation Period : The default period for the exponential moving average (EMA) is set to 21. Users can modify this value for more precise analysis based on their specific requirements.
Ultra Data : This option enables users to view more detailed data from various market sources, such as Forex, Crypto, or Stocks. When activated, the indicator aggregates and displays volume data from multiple sources.
🟣 Table Settings
Show Info Table : This option determines whether the information table is displayed on the chart. When enabled, the table appears in a corner of the chart and provides details about the strength of buyers and sellers.
Table Size : Users can adjust the size of the text within the table to improve readability.
Table Position : This setting defines the table’s placement on the chart.
🔵 Conclusion
The indicator introduced in this article is designed as an advanced tool for analyzing supply and demand dynamics in financial markets. By leveraging buyer and seller strength ratios and visually highlighting price levels with the highest trade volume, it aids traders in identifying key market zones.
Key features, such as adjustable analysis timeframes, customizable calculation methods, and precise volume data display, allow users to tailor their analyses to market conditions.
This indicator is invaluable for analyzing support and resistance levels derived from trade volumes, enabling traders to make more accurate decisions about entering or exiting trades.
By utilizing real market data and displaying the highest trade volume lines directly on the chart, it provides a precise perspective on market behavior. These features make it suitable for both novice and professional traders aiming to enhance their analysis and trading strategies.
With this indicator, traders can gain a better understanding of supply and demand dynamics and operate more intelligently in financial markets. By combining volume data with visual analysis, this tool provides a solid foundation for effective decision-making and improved trading performance. Choosing this indicator is a significant step toward refining analysis and achieving success in complex financial markets.