Volume NodesVolume Nodes Indicator:
What This Indicator Does:
The Volume Nodes indicator identifies and visualizes statistically significant volume events on your chart, helping you identify important price levels where substantial trading activity has occurred. Unlike standard volume indicators, Volume Nodes:
Uses statistical analysis (z-scores) to identify truly abnormal volume bars
Calculates accurate buy/sell volume ratios by analyzing all lower timeframe data
Identifies the Volume Point of Control (VPOC) for high volume areas
Visualizes significant volume ranges as they extend across the chart
Tracks when price interacts with these important levels
Key Features:
High Volume Detection: Highlights bars with unusually high volume (z-score above threshold)
Low Volume Detection: Highlights bars with unusually low volume (z-score below threshold)
VPOC Lines: Horizontal lines showing the exact price level with maximum volume concentration
Volume Range Fills: Shaded areas showing the entire price range with significant volume
Accurate Volume Metrics: Shows true buy/sell volume ratios or delta percentages derived from lower timeframe data
How to Use It in Your Trading: **Move to front in the visual order on chart**
Step 1: Identify Important Volume Zones
High Volume Bars (green/red candles) indicate where significant buying or selling has occurred
VPOC Lines extending from these bars show you the exact price level with highest volume
Range Fills show you the entire zone where significant volume occurred
Step 2: Use These Levels for Trading Decisions
Support/Resistance: VPOC lines often act as support or resistance levels
Breakout Validation: Breakouts on high volume are more likely to be valid
Low Volume Warning: Low volume bars (yellow) often indicate indecision or potential reversals
Trading with Volume Flow: Use the buy/sell ratio or delta % to confirm the strength and direction of moves
Step 3: Monitor Price Interaction with Volume Zones
When price approaches a VPOC line, watch for reaction (bounce or breakout)
When price enters a volume range area, increased volatility often follows
When price crosses a VPOC line, the line changes transparency indicating it's been tested
Tips for Optimal Use
Higher Timeframes: The indicator works exceptionally well on higher timeframes (4H, daily, weekly) where volume patterns are more significant
Range Trading: Use volume nodes to identify the boundaries of trading ranges
Combine with Price Action: Look for price action confirmation (rejections, engulfing patterns) at VPOC levels
Multiple Timeframe Analysis: Compare volume nodes across different timeframes to find confluent levels
Alert Setup: Set up alerts for when price enters important volume zones or crosses VPOC lines
Reversal Signals: High volume bars with significant wicks often signal exhaustion points where smart money is transferring positions. Bullish candles with long upper wicks suggest sellers absorbing buying pressure at highs, while bearish candles with long lower wicks indicate buyers stepping in at lows - both potentially signaling momentum shifts that precede reversals.
The indicator is particularly valuable for identifying levels where large players have been active in the market and are likely to defend or act again in the future.
樞軸點和水平
GIGANEVA V6.61 PublicThis enhanced Fibonacci script for TradingView is a powerful, all-in-one tool that calculates Fibonacci Levels, Fans, Time Pivots, and Golden Pivots on both logarithmic and linear scales. Its ability to compute time pivots via fan intersections and Range interactions, combined with user-friendly features like Bool Fib Right, sets it apart. The script maximizes TradingView’s plotting capabilities, making it a unique and versatile tool for technical analysis across various markets.
1. Overview of the Script
The script appears to be a custom technical analysis tool built for TradingView, improving upon an existing script from TradingView’s Community Scripts. It calculates and plots:
Fibonacci Levels: Standard retracement levels (e.g., 0.236, 0.382, 0.5, 0.618, etc.) based on a user-defined price range.
Fibonacci Fans: Trendlines drawn from a high or low point, radiating at Fibonacci ratios to project potential support/resistance zones.
Time Pivots: Points in time where significant price action is expected, determined by the intersection of Fibonacci Fans or their interaction with key price levels.
Golden Pivots: Specific time pivots calculated when the 0.5 Fibonacci Fan (on a logarithmic or linear scale) intersects with its counterpart.
The script supports both logarithmic and linear price scales, ensuring versatility across different charting preferences. It also includes a feature to extend Fibonacci Fans to the right, regardless of whether the user selects the top or bottom of the range first.
2. Key Components Explained
a) Fibonacci Levels and Fans from Top and Bottom of the "Range"
Fibonacci Levels: These are horizontal lines plotted at standard Fibonacci retracement ratios (e.g., 0.236, 0.382, 0.5, 0.618, etc.) based on a user-defined price range (the "Range"). The Range is typically the distance between a significant high (top) and low (bottom) on the chart.
Example: If the high is $100 and the low is $50, the 0.618 retracement level would be at $80.90 ($50 + 0.618 × $50).
Fibonacci Fans: These are diagonal lines drawn from either the top or bottom of the Range, radiating at Fibonacci ratios (e.g., 0.382, 0.5, 0.618). They project potential dynamic support or resistance zones as price evolves over time.
From Top: Fans drawn downward from the high of the Range.
From Bottom: Fans drawn upward from the low of the Range.
Log and Linear Scale:
Logarithmic Scale: Adjusts price intervals to account for percentage changes, which is useful for assets with large price ranges (e.g., cryptocurrencies or stocks with exponential growth). Fibonacci calculations on a log scale ensure ratios are proportional to percentage moves.
Linear Scale: Uses absolute price differences, suitable for assets with smaller, more stable price ranges.
The script’s ability to plot on both scales makes it adaptable to different markets and user preferences.
b) Time Pivots
Time pivots are points in time where significant price action (e.g., reversals, breakouts) is anticipated. The script calculates these in two ways:
Fans Crossing Each Other:
When two Fibonacci Fans (e.g., one from the top and one from the bottom) intersect, their crossing point represents a potential time pivot. This is because the intersection indicates a convergence of dynamic support/resistance zones, increasing the likelihood of a price reaction.
Example: A 0.618 fan from the top crosses a 0.382 fan from the bottom at a specific bar on the chart, marking that bar as a time pivot.
Fans Crossing Top and Bottom of the Range:
A fan line (e.g., 0.5 fan from the bottom) may intersect the top or bottom price level of the Range at a specific time. This intersection highlights a moment where the fan’s projected support/resistance aligns with a key price level, signaling a potential pivot.
Example: The 0.618 fan from the bottom reaches the top of the Range ($100) at bar 50, marking bar 50 as a time pivot.
c) Golden Pivots
Definition: Golden pivots are a special type of time pivot calculated when the 0.5 Fibonacci Fan on one scale (logarithmic or linear) intersects with the 0.5 fan on the opposite scale (or vice versa).
Significance: The 0.5 level is the midpoint of the Fibonacci sequence and often acts as a critical balance point in price action. When fans at this level cross, it suggests a high-probability moment for a price reversal or significant move.
Example: If the 0.5 fan on a logarithmic scale (drawn from the bottom) crosses the 0.5 fan on a linear scale (drawn from the top) at bar 100, this intersection is labeled a "Golden Pivot" due to its confluence of key Fibonacci levels.
d) Bool Fib Right
This is a user-configurable setting (a boolean input in the script) that extends Fibonacci Fans to the right side of the chart.
Functionality: When enabled, the fans project forward in time, regardless of whether the user selected the top or bottom of the Range first. This ensures consistency in visualization, as the direction of the Range selection (top-to-bottom or bottom-to-top) does not affect the fan’s extension.
Use Case: Traders can use this to project future support/resistance zones without worrying about how they defined the Range, improving usability.
3. Why Is This Code Unique?
Original calculation of Log levels were taken from zekicanozkanli code. Thank you for giving me great Foundation, later modified and applied to Fib fans. The script’s uniqueness stems from its comprehensive integration of Fibonacci-based tools and its optimization for TradingView’s plotting capabilities. Here’s a detailed breakdown:
All-in-One Fibonacci Tool:
Most Fibonacci scripts on TradingView focus on either retracement levels, extensions, or fans.
This script combines:
Fibonacci Levels: Static horizontal lines for retracement and extension.
Fibonacci Fans: Dynamic trendlines for projecting support/resistance.
Time Pivots: Temporal analysis based on fan intersections and Range interactions.
Golden Pivots: Specialized pivots based on 0.5 fan confluences.
By integrating these functions, the script provides a holistic Fibonacci analysis tool, reducing the need for multiple scripts.
Log and Linear Scale Support:
Many Fibonacci tools are designed for linear scales only, which can distort projections for assets with exponential price movements. By supporting both logarithmic and linear scales, the script caters to a wider range of markets (e.g., stocks, forex, crypto) and user preferences.
Time Pivot Calculations:
Calculating time pivots based on fan intersections and Range interactions is a novel feature. Most TradingView scripts focus on price-based Fibonacci levels, not temporal analysis. This adds a predictive element, helping traders anticipate when significant price action might occur.
Golden Pivot Innovation:
The concept of "Golden Pivots" (0.5 fan intersections across scales) is a unique addition. It leverages the symmetry of the 0.5 level and the differences between log and linear scales to identify high-probability pivot points.
Maximized Plot Capabilities:
TradingView imposes limits on the number of plots (lines, labels, etc.) a script can render. This script is coded to fully utilize these limits, ensuring that all Fibonacci levels, fans, pivots, and labels are plotted without exceeding TradingView’s constraints.
This optimization likely involves efficient use of arrays, loops, and conditional plotting to manage resources while delivering a rich visual output.
User-Friendly Features:
The Bool Fib Right option simplifies fan projection, making the tool intuitive even for users who may not consistently select the Range in the same order.
The script’s flexibility in handling top/bottom Range selection enhances usability.
4. Potential Use Cases
Trend Analysis: Traders can use Fibonacci Fans to identify dynamic support/resistance zones in trending markets.
Reversal Trading: Time pivots and Golden Pivots help pinpoint moments for potential price reversals.
Range Trading: Fibonacci Levels provide key price zones for trading within a defined range.
Cross-Market Application: Log/linear scale support makes the script suitable for stocks, forex, commodities, and cryptocurrencies.
The original code was from zekicanozkanli . Thank you for giving me great Foundation.
Break of Structure & Change of CharacterThis Break of Structure & Change of Character indicator is a fully customizable Pine Script v6 tool designed to help you spot key market structure shifts on any timeframe (optimized by default for 5‑minute charts). Here’s what it does and how to tailor it:
What It Detects
Swing Pivots
Finds local swing highs and lows over a configurable lookback (Pivot Lookback).
Break of Structure (BOS)
Marks when price closes beyond the last swing high (bullish BOS) or below the last swing low (bearish BOS), using an ATR‑based buffer to filter out minor moves.
Change of Character (CHoCH)
After a BOS, watches for price to reverse back through that level (e.g. a drop below the higher‑low after a bullish BOS), signaling a potential shift in momentum.
Key Inputs & Features
Pivot Lookback (pivotLen): How many bars to look back for pivots (default 8 for a 5‑min chart).
Fast Mode: When enabled, halves both the pivot lookback and ATR threshold for quicker—but noisier—signals.
ATR Threshold (atrLen & atrMult): Uses ATR(atrLen) × atrMult to require a minimum follow‑through beyond the pivot for a valid BOS/CHoCH.
Show Labels / Show Pivot Labels: Toggle on/off all structure labels or just pivot “x” markers.
Appearance Customization
Colors: Choose separate colors for pivot highs/lows, BOS labels, CHoCH labels, and structure lines.
Line Style: Select “Solid”, “Dotted”, or “Dashed” for your swing‑level lines.
Label Size & Style: Pick “Tiny”, “Small”, or “Normal” text size and choose label orientation (Up/Down/Left/Right) independently for pivots, BOS, and CHoCH.
Pivot Label Text: Change the pivot marker from the default “x” to any character you prefer.
How to Use
Add to Chart: Apply it on a 5‑minute chart (you’ll get a one‑time notice if you’re on another timeframe).
Tweak Inputs: Adjust pivot lookback, ATR multiplier, and toggle Fast Mode to suit your style.
Interpret Signals:
Green “BOS↑” or red “BOS↓” labels mark structure breaks.
Orange “CHoCH↓” or “CHoCH↑” labels flag the reversal through that level.
Dotted (or styled) lines trace the last swing high/low for visual reference.
Auto Support Resistance Channels [TradingFinder] Top/Down Signal🔵 Introduction
In technical analysis, a price channel is one of the most widely used tools for identifying and tracking price trends. A price channel consists of two parallel trendlines, typically drawn from swing highs (resistance) and swing lows (support). These lines define dynamic support and resistance zones and provide a clear framework for interpreting price fluctuations.
Drawing a channel on a price chart allows the analyst to more precisely identify entry points, exit levels, take-profit zones, and stop-loss areas based on how the price behaves within the boundaries of the channel.
Price channels in technical analysis are generally categorized into three types: upward channels with a positive slope, downward channels with a negative slope, and horizontal (range-bound) channels with near-zero slope. Each type offers unique insights into market behavior depending on the price structure and prevailing trend.
Structurally, channels can be formed using either minor or major pivot points. A major channel typically reflects a stronger, more reliable structure that appears on higher timeframes, whereas a minor channel often captures short-term fluctuations or corrective movements within a larger trend.
For instance, a major downward channel may indicate sustained selling pressure across the market, while a minor upward channel could represent a temporary pullback within a broader bearish trend.
The validity of a price channel depends on several factors, including the number of price touches on the channel lines, the symmetry and parallelism of the trendlines, the duration of price movement within the channel, and price behavior around the median line.
When a price channel is broken, it is generally expected that the price will move in the breakout direction by at least the width of the channel. This makes price channels especially useful in breakout analysis.
In the following sections, we will explore the different types of price channels, how to draw them accurately, the structural differences between minor and major channels, and key trade interpretations when price interacts with channel boundaries.
Up Channel :
Down Channel :
🔵 How to Use
A price channel is a practical tool in technical analysis for identifying areas of support, resistance, trend direction, and potential breakout zones. The structure consists of two parallel trendlines within which price fluctuates.
Traders use the relative position of price within the channel to make informed trading decisions. The two primary strategies include range-based trades (buying low, selling high) and breakout trades (entering when price exits the channel).
🟣 Up Channel
In an upward channel, price moves within a positively sloped range. The lower trendline acts as dynamic support, while the upper trendline serves as dynamic resistance. A common strategy involves buying near the lower support and taking profit or selling near the upper resistance.
If price breaks below the lower trendline with strong volume or a decisive candle, it can signal a potential trend reversal. Channels constructed from major pivots generally reflect dominant uptrends, while those based on minor pivots are often corrective structures within a broader bearish movement.
🟣 Down Channel
In a downward channel, price moves between two negatively sloped lines. The upper trendline functions as resistance, and the lower trendline as support. Ideal entry for short trades occurs near the upper boundary, especially when confirmed by bearish price action or a resistance level.
Exit targets are typically located near the lower support. If the upper boundary is broken to the upside, it may be an early sign of a bullish trend reversal. Like upward channels, a major down channel represents broader selling pressure, while a minor one may indicate a brief retracement in a bullish move.
🟣 Range Channel
A horizontal or range-bound channel is characterized by price oscillating between two nearly flat lines. This type of channel typically appears during sideways markets or periods of consolidation.
Traders often buy near the lower boundary and sell near the upper boundary to take advantage of contained volatility. However, fake breakouts are more frequent in range-bound structures, so it is important to wait for confirmation through candlestick signals and volume. A confirmed breakout beyond the channel boundaries can justify entering a trade in the direction of the breakout.
🔵 Settings
Pivot Period :This parameter defines how sensitive the channel detection is. A higher value causes the algorithm to identify major pivot points, resulting in broader and longer-term channels. Lower values focus on minor pivots and create tighter, short-term channels.
🔔 Alerts
Alert Configuration :
Enable or disable the full alert system
Set a custom alert name
Choose the alert frequency: every time, once per bar, or on bar close
Define the time zone for alert timestamps (e.g., UTC)
Channel Alert Types :
Each channel type (Major/Minor, Internal/External, Up/Down) supports two alert types :
Break Alert : Triggered when price breaks above or below the channel boundaries
React Alert : Triggered when price touches and reacts (bounces) off the channel boundary
🎨 Display Settings
For each of the eight channel types, you can customize:
Visibility : show or hide the channel
Auto-delete previous channels when new ones are drawn
Style : line color, thickness, type (solid, dashed, dotted), extension (right only, both sides)
🔵 Conclusion
The price channel is a foundational structure in technical analysis that enables traders to analyze price movement, identify dynamic support and resistance zones, and locate potential entry and exit points with greater precision.
When constructed properly using minor or major pivots, a price channel offers a consistent and intuitive framework for interpreting market behavior—often simpler and more visually clear than many other technical tools.
Understanding the differences between upward, downward, and range-bound channels—as well as recognizing the distinctions between minor and major structures—is critical for selecting the right trading strategy. Upward channels tend to generate buying opportunities, downward channels prioritize short setups, and horizontal channels provide setups for both mean-reversion and breakout trades.
Ultimately, the reliability of a price channel depends on various factors such as the number of touchpoints, the duration of the channel, the parallelism of the lines, and how the price reacts to the median line.
By taking these factors into account, an experienced analyst can effectively use price channels as a powerful tool for trend forecasting and precise trade execution. Although conceptually simple, successful application of price channels requires practice, pattern recognition, and the ability to filter out market noise.
Bijnor Pivot ExtendedOverview: The Bijnor Pivot Extended (BP+) indicator is a powerful visual tool designed to help traders identify key price levels using Fibonacci-based pivots. It dynamically plots Support and Resistance levels based on your chosen timeframe (Daily, Weekly, or Monthly) and displays them only for the current session, reducing chart clutter and improving focus.
🔧 Features:
📆 Pivot Timeframe Selection: Choose between Daily, Weekly, or Monthly pivots.
🎯 Fibonacci Pivot Levels:
Central Pivot (P)
Resistance: R1, R2, R3, R4 (Extended)
Support: S1, S2, S3, S4 (Extended)
🎨 Full Customization:
Toggle labels and prices on/off
Position labels to the left or right
Change line width and individual colors for pivot, support, and resistance lines
🧠 Smart Line Plotting:
Lines are drawn only during the selected session, keeping your chart clean
🕹️ Max Performance: Optimized to stay lightweight with max_lines_count and max_labels_count set to 500
🧭 How to Use It:
Use this indicator to:
Plan entries and exits around key Fibonacci pivot zones
Identify overbought/oversold zones at R3/R4 and S3/S4
Enhance your intraday, swing, or positional trading setups
Combine with price action, candlestick patterns, or volume for maximum edge.
✅ Bonus:
This script is ideal for traders looking for a minimalist yet powerful pivot framework, with extended levels for breakout or reversal scenarios.
3CRGANG - TRUE RANGEThis indicator helps traders identify key support and resistance levels using dynamic True Range calculations, while also providing a multi-timeframe trend overview. It plots True Range levels as horizontal lines, marks breakouts with arrows, and displays trend directions across various timeframes in a table, making it easier to align trades with broader market trends.
What It Does
The 3CRGANG - TRUE RANGE indicator calculates dynamic support and resistance levels based on the True Range concept, updating them as price breaks out of the range. It also analyzes trend direction across multiple timeframes (M1 to M) and presents the results in a table, using visual cues to indicate bullish, bearish, or neutral conditions.
Why It’s Useful
This script combines True Range analysis with multi-timeframe trend identification to provide a comprehensive tool for traders. The dynamic True Range levels help identify potential reversal or continuation zones, while the trend table allows traders to confirm the broader market direction before entering trades. This dual approach reduces the need for multiple indicators, streamlining analysis across different timeframes and market conditions.
How It Works
The script operates in the following steps:
True Range Calculation: The indicator calculates True Range levels (support and resistance) using price data (close, high, low) from a user-selected timeframe. It updates these levels when price breaks above the upper range (bullish breakout) or below the lower range (bearish breakout).
Line Plotting: Two styles are available:
"3CR": Plots one solid line after a breakout (green for bullish, red for bearish) and removes the opposing line.
"RANGE": Plots both upper and lower range lines as dotted lines (green for support, red for resistance) until a breakout occurs, then solidifies the breakout line.
Multi-Timeframe Trend Analysis: The script analyzes trend direction on multiple timeframes (M1, M5, M15, M30, H1, H4, D, W, M) by comparing the current close to the True Range levels on each timeframe. A trend is:
Trend Table: A table displays the trend direction for each timeframe, with color-coded backgrounds (green for bullish, red for bearish) and triangles to indicate the trend state.
Breakout Arrows: When price breaks above the upper range, a green ▲ arrow appears below the bar (bullish). When price breaks below the lower range, a red ▼ arrow appears above the bar (bearish).
Bullish (▲): Price is above the upper range.
Bearish (▼): Price is below the lower range.
Neutral (△/▽): Price is within the range, with the last trend indicated by an empty triangle (△ for last bullish, ▽ for last bearish).
Alerts: Breakout alerts can be set for each timeframe, with options to filter by trading sessions (e.g., New York, London) or enable all-day alerts.
Underlying Concepts
The script uses the True Range concept to define dynamic support and resistance levels, which adjust based on price action to reflect the most relevant price zones. The multi-timeframe trend analysis leverages the same True Range logic to determine trend direction, providing a consistent framework across all timeframes. The combination of breakout signals and trend confirmation helps traders align their strategies with both short-term price movements and longer-term market trends.
Use Case
Breakout Trading: Use the True Range lines and arrows to identify breakouts. For example, a green ▲ arrow below a bar with price breaking above the upper range suggests a potential long entry.
Trend Confirmation: Check the trend table to ensure the breakout aligns with the broader trend. For instance, a bullish breakout on the 1H chart is more reliable if the D and W timeframes also show bullish trends (▲).
Range Trading: When price is within the True Range (dotted lines in "RANGE" style), consider range-bound strategies, buying near support and selling near resistance, while monitoring the table for potential trend shifts.
Settings
Input Timeframe: Select the timeframe for True Range calculations (default: chart timeframe).
True Range Style: Choose between "3CR" (single line after breakout) or "RANGE" (both lines until breakout) (default: 3CR).
Change Symbol: Compare a different ticker if needed (default: chart symbol).
Color Theme: Select "LIGHT THEME" or "DARK THEME" for colors, or enable custom colors (default: LIGHT THEME).
Table Position: Set the trend table’s position (center, right, left) (default: right).
Multi Res Alerts Setup: Enable/disable breakout alerts for each timeframe (default: enabled for most timeframes).
Sessions Alerts: Filter alerts by trading sessions (e.g., New York, London) or enable all-day alerts (default: most sessions enabled).
Chart Notes
The chart displays the script’s output on XAUUSD (1H timeframe), showing:
Candlesticks representing price action.
True Range lines (green for support, red for resistance) in "3CR" style, with solid lines after breakouts and dotted lines during range-bound periods.
Arrows (green ▲ below bars for bullish breakouts, red ▼ above bars for bearish breakouts) indicating range breakouts.
A trend table in the top-right corner labeled "TREND EA," showing trend directions across timeframes (M1 to M) with triangles (▲/▼ for active trends, △/▽ for last trend) and color-coded backgrounds (green for bullish, red for bearish).
Notes
The script uses the chart’s ticker by default but allows comparison with another symbol if enabled.
Trend data for higher timeframes (e.g., M) may not display if the chart’s history is insufficient.
Alerts are triggered only during selected trading sessions unless "ALL DAY ALERTS" is enabled.
Disclaimer
This indicator is a tool for analyzing market trends and does not guarantee trading success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
Pivot Levels with EMA Trend📌 Trend Change Levels with EMA Trend
✨ Description:
This TradingView script identifies clean trend change levels based on 1-hour structure shifts and filters them to keep only those not invalidated. It follows the "Jake Ricci" method, each level is printed at the beginning of the candle that changes the trend, on a 1 hour chart. For precision, make sure to exclude after/pre market and only use the levels on regular hours charts.
It includes dynamic EMAs (9, 50, 200), intraday VWAP, the daily open level printed, and a visual trend label based on EMA(9) slope.
Designed for intermediate traders, it helps build bias, manage entries, and avoid false setups by focusing on clean, reactive levels that the market respects.
🔧 Core Logic:
On the 1H chart, the script compares current and previous closes to detect trend direction. If the trend flips (e.g., up to down), the open of the candle that caused the flip becomes a candidate level.
Only levels that remain untouched by future candle closes are plotted — this filters out “weak” levels that price already violated (which means, a candle closes after passing through the level).
These levels become key S/R zones and often act as reaction points during pullbacks, traps, and liquidity sweeps.
The idea is to check how the price reacts to those levels. Usually there's a clean retest of the level. After that, if the price continues in that direction, it tends to reach the following level.
🔹 Included Tools:
🟣 Trend Change Levels (1H):
Fixed horizontal lines based on confirmed shifts in trend, shown only when not broken.
📉 EMAs (9 / 50 / 200):
Visibility can be set per timeframe. Use for trend context.
📍 EMA Trend Label:
Shows \"UP\", \"DOWN\", or \"RANGE\" based on EMA(9) slope.
🔵 VWAP (Intraday Reset):
Real-time volume-weighted average price that resets daily. Useful for fair value zones and reversion plays.
🟠 Daily Open Line:
Plot of the current day’s open. Used for intraday directional bias. Usually: DO NOT take longs below the Open Print, DO NOT take shorts above it.
📊 ATR Table:
Displays current ATR multiplier on the chart. It's useful to understand if the market is expanding or not.
📈 How to Use It (Strategy):
1. Start on the 1H chart to generate levels.
Only the open of candles that reversed trend are considered — and only if future candles didn’t close through them. I suggest manually adding horizontal lines to mark again the levels, so that they stick to all the timeframes.
2. Use the trend label to decide your bias — \"UP\" for long setups, \"DOWN\" for shorts. Avoid trading against the slope.
3. Switch to the 5m chart and wait for price to approach a plotted level. These are often used for manipulation, retests, or clean reversals.
4. Look for confirmation: rejection candles, break-and-retest, strong engulfing candles, or traps above/below the level. ALWAYS check the price action around the level, along with the volume.
5. Check if VWAP or an EMA is near the level. If yes, the confluence strengthens the trade idea.
6. Use the ATR value to understand if the market is expanding (candles are bigger than the ATR). You don't want to stay in a slow and ranging trade.
✅ Example Entry Flow:
1. On the 1H chart, note a trend change level printed recently.
2. Check the current trend label — if it says \"UP,\" prefer longs.
3. Wait for price to retrace toward the level.
4. On the 5m, look for a bullish engulfing candle or trap setup at the level.
5. Check if VWAP and EMA(50) are near. If yes, execute the trade.
6. Set stop just under the low of the candle prior to your entry. Ideally, a retracing candle.
To be clear: imaging to be LONG, you wait for a retracement that should touch your level. You wait for a candle that resumes the LONG trend, enter when it breaks the high of the previous candle (sill in retracement), you place your stop under the candle prior to your entry.
Notes:
No repainting — levels only show up after confirmed shifts.
Removes broken levels for chart clarity and reliability.
Helps spot high-probability pullback zones and fakeouts.
Perfect confluence tool to support price action, SMC, or EMA strategies.
Works across multiple timeframes with customizable inputs.
👤 Ideal For:
Intraday traders looking for reactive entry points and direction confirmation.
Swing traders wanting to pinpoint continuation zones or reversal pivots.
🚨 Final Note: This indicator doesn’t generate buy/sell signals. It improves your trade filtering by identifying areas the market already respected and reacting to them with price action. Combine it with your own system , test it in replay, and use screenshots to document setups.
📌 If used with discipline, this becomes a precision tool — not a signal generator.
Combined EMA/Smiley & DEM System## 🔷 General Overview
This script creates an advanced technical analysis system for TradingView, combining multiple Exponential Moving Averages (EMAs), Simple Moving Averages (SMAs), dynamic Fibonacci levels, and ATR (Average True Range) analysis. It presents the results clearly through interactive, real-time tables directly on the chart.
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## 🔹 Indicator Structure
The script consists of two main parts:
### **1. EMA & SMA Combined System with Fibonacci**
- **Purpose:**
Provides visual insights by comparing multiple EMA/SMA periods and identifying significant dynamic price levels using Fibonacci ratios around a calculated "Golden" line.
- **Components:**
- **Moving Averages (MAs)**:
- 20 EMAs (periods from 20 to 400)
- 20 SMAs (also from 20 to 400)
- **Golden Line:**
Calculated as the average of all EMAs and SMAs.
- **Dynamic Fibonacci Levels:**
Key ratios around the Golden line (0.5, 0.618, 0.786, 1.0, 1.272, 1.414, 1.618, 2.0) dynamically adjust based on market conditions.
- **Fibonacci Labels:**
Labels are shown next to Fibonacci lines, indicating their numeric value clearly on the chart.
- **Table (Top Right Corner):**
- Displays:
- **Input:** EMA/SMA periods sorted by their current average price levels.
- **AVG:** The average of corresponding EMA & SMA pairs.
- **EMA & SMA Values:** Individual EMA/SMA values clearly marked.
- **Dynamic Highlighting:** Highlights the row whose average (EMA+SMA)/2 is closest to the current price, helping identify immediate price action significance.
- **Sorting Logic:**
Each EMA/SMA pair is dynamically sorted based on their average values. Color coding (red/green) is used:
- **Green:** EMA/SMA pairs with shorter periods when their average is lower.
- **Red:** EMA/SMA pairs with longer periods when their average is lower.
- **Star (⭐):** Represents the "Golden" average clearly.
---
### **2. DEM System (Dynamic EMA/ATR Metrics)**
- **Purpose:**
Provides detailed ATR statistics to assess market volatility clearly and quickly.
- **Components:**
- **Moving Averages:**
- SMA lines: 25, 50, 100, 200.
- **Bollinger Bands:**
- Based on 20-period SMA of highs and standard deviation of lows.
- **ATR Analysis:**
- ATR calculations for multiple periods (1-day, 10, 20, 30, 40, 50).
- **ATR Premium:** Average ATR of all calculated periods, providing an overarching volatility indicator.
- **ATR Table (Bottom Right Corner):**
- Displays clearly structured ATR values and percentages relative to the current close price:
- Columns: **ATR Period**, **Value**, and **% of Close**.
- Rows: Each specific ATR (1D, 10, 20, 30, 40, 50), plus ATR premium.
- The ATR premium is highlighted in yellow to signify its importance clearly.
---
## 🔹 Key Features and Logic Explained
- **Dynamic EMA/SMA Sorting:**
The script computes the average of each EMA/SMA pair and sorts them dynamically on each bar, highlighting their relative importance visually. This allows traders to easily interpret the strength of current support/resistance levels based on moving averages.
- **Closest EMA/SMA Pair to Current Price:**
Calculates the absolute difference between the current price and all EMA/SMA averages, highlighting the closest one for quick reference.
- **Fibonacci Ratios:**
- Dynamically calculated Fibonacci levels based on the "Golden" EMA/SMA average give clear visual guidance for potential targets, supports, and resistances.
- Labels are continuously updated and placed next to levels for clarity.
- **ATR Volatility Analysis:**
- Provides immediate insight into market volatility with absolute and relative (percentage-based) ATR values.
- ATR premium summarizes volatility across multiple timeframes clearly.
---
## 🔹 Practical Use Case:
- Traders can quickly identify support/resistance and critical price zones through EMA/SMA and Fibonacci combinations.
- Useful in assessing immediate volatility, guiding stop-loss and take-profit levels through detailed ATR metrics.
- The dynamic highlighting in tables provides intuitive, real-time decision support for active traders.
---
## 🔹 How to Use this Script:
1. **Adjust EMA & SMA Lengths** from indicator settings if different periods are preferred.
2. **Monitor dynamic Fibonacci levels** around the "Golden" average to identify possible reversal or continuation points.
3. **Check EMA/SMA table:** Rows highlighted indicate immediate significance concerning current market price.
4. **ATR table:** Use volatility metrics for better risk management.
---
## 🔷 Conclusion
This advanced Pine Script indicator efficiently combines multiple EMAs, SMAs, dynamic Fibonacci retracement levels, and volatility analysis using ATR into a comprehensive real-time analytical tool, enhancing traders' decision-making capabilities by providing clear and actionable insights directly on the TradingView chart.
MTF RSI & SMA Crossover [OB/OS Filtered Signals]MTF RSI & SMA Crossover
This custom indicator combines the power of Multi-Timeframe (MTF) RSI, Simple Moving Average (SMA), and overbought/oversold (OB/OS) conditions to provide precise buy and sell signals based on the crossovers of the RSI and its SMA. The indicator includes the following features:
MTF RSI: The Relative Strength Index (RSI) is calculated on a customizable timeframe, giving traders the ability to analyze price momentum across different timeframes.
SMA of RSI: The RSI is smoothed using a Simple Moving Average (SMA), helping to filter out market noise and identify clearer trend reversals.
Overbought/Oversold Filter: Signals are only triggered when the RSI has been in an overbought (above 70) or oversold (below 30) condition, improving the reliability of potential trend reversals.
Buy/Sell Signals:
Buy signals occur when the RSI crosses above its SMA after being oversold, indicating potential upward momentum.
Sell signals occur when the RSI crosses below its SMA after being overbought, indicating potential downward momentum.
Customizable Label Colors: Choose your own colors for the "BUY" and "SELL" labels to match your chart's design and preferences.
Alerts: Set alerts for buy and sell signals, ensuring you don't miss a potential trade.
This indicator is ideal for traders who want to capture trend reversals and momentum shifts while filtering out false signals by using overbought and oversold conditions. Customize the settings to suit your trading style and strategy.
StonkGame Major Market Open/ClosePlots vertical lines for Tokyo, London, and New York session opens and closes — auto-adjusted to your chart's timezone.
Open lines = lighter, dashed style.
Close lines = solid, full-color style.
Helps identify key liquidity windows, session-driven volatility, and clean market structure — without chart clutter.
Fully customizable colors and line styles for a professional, minimal look.
3 Way ValuationThe 3 Way Valuation (3WV) is a composite oscillator that evaluates market conditions by combining a diverse range of metrics into a single smoothed value between 0 and 1. It draws from multiple domains, including momentum, trend strength, volatility, risk-adjusted return ratios, and volume-based analytics to offer a well-rounded view of an asset’s relative positioning.
At its core, 3WV integrates three statistical approaches: Percentile Ranking to assess how current values compare to historical distributions, Z-Score Normalization to measure deviation from the average, and Empirical CDF (ECDF) to estimate the probability of observing a value based on past behavior. These methods are applied across all selected metrics, then normalized and averaged for a comprehensive market sentiment score.
Users can tailor the smoothing level and choose whether to include volume-based components for enhanced filtering. The indicator highlights potential overbought and oversold conditions with customizable thresholds, making it a versatile tool for timing entries, exits, or confirming broader strategies.
Liquidity Zones Alerts"Liquidity Zones Alerts" is a powerful smart-money-based indicator designed to detect key liquidity grabs and provide high-probability reversal signals using a combination of market structure, volume, volatility, and candlestick confirmation.
🧠 How It Works
The core logic of this indicator is built around the Smart Money Concepts:
🔺 Liquidity Sweeps: Detects when price takes out previous daily or weekly highs/lows, suggesting stop hunts or engineered liquidity moves by institutional players.
📈 Volume Filter: Ensures signals only appear during above-average volume, filtering out noise and low-interest moves.
⚡ Volatility Filter: Flags high-range candles relative to the average, catching flash crashes/spikes that often precede strong reversals.
🔄 Engulfing Candle Confirmation: Confirms entry with a bullish or bearish engulfing pattern after liquidity is taken — increasing signal reliability.
🧭 Premium/Discount Zone Logic: Trades are filtered to ensure longs are only taken in discount zones, and shorts in premium zones, using a 20-period market range for context.
📌 Features
✅ Daily & Weekly liquidity zones toggle
✅ Visual signals with clean 🔻(short) & 🔺(long) arrows
✅ Auto-detection of flash crashes
✅ Alerts on both long and short setups
✅ Optional previous high/low level plotting for context
✅ Background highlighting of valid signal candles
✅ Multi-timeframe friendly and compatible with any asset
🛠️ Use Case
Whether you're a scalper or a swing trader, this tool helps you spot institutional entry zones before the move happens. It works especially well when combined with your existing bias or supply/demand zones.
💬 “Price doesn't move randomly — it hunts liquidity. This indicator shows you where and when it happens.”
Daily LevelsOverview:
The Daily Levels indicator plots key price levels from the previous trading day, including the high, low, median (pivot), and projected extensions. These levels help traders identify potential support/resistance zones and anticipate breakout or reversal opportunities.
Key Features:
✅ Previous Day High & Low – Visualizes the prior day’s high and low as dynamic support/resistance levels.
✅ Median (Pivot) Line – Calculates the midpoint between the previous day’s high and low, acting as a key intraday reference.
✅ Projected Levels – Extends the high/low range symmetrically above and below the median, highlighting potential breakout zones.
✅ Customizable Display – Toggle visibility, adjust colors, and modify line styles (solid, dotted, dashed).
✅ Price Labels – Clear on-chart labels showing exact price values for quick reference.
✅ Built-in Alerts – Get notified when price crosses any of the key levels.
How to Use:
Trend Identification: If price holds above the median, the bias is bullish; below suggests bearish momentum.
Breakout Trading: Watch for moves beyond the projected levels for potential continuation.
Mean Reversion: Fade moves toward the previous day’s high/low if the median holds as support/resistance.
Ideal For:
Day Traders – Intraday support/resistance levels.
Swing Traders – Context for multi-day trends.
Breakout/Reversal Strategies – Clear levels for trade triggers.
Settings Recommendations:
High/Low Lines: Use semi-transparent colors (e.g., green/red) for clarity.
Projections: Helpful for anticipating extended moves (e.g., teal for upper, orange for lower).
Alerts: Enable notifications for key crosses (e.g., median or high/low breaks).
Dual RSIHello everyone! I want to show you my version of the RSI indicator. As you may have noticed, in this indicator I decided to use 2 RSI at once, and here's why. I discovered that crossovers between fast and slow RSI can generate good signals. Very often we can determine an entry point with it, and it works just as well as RSI versions with divergences.
So, all you need to do is configure the timeframe from which the RSI will be displayed. For example, when I work on an hourly timeframe, I enable both hourly and four-hour RSI. When the hourly RSI crosses the four-hour RSI from above, it signals that you should look for a short entry point. Conversely, if the hourly RSI crosses the four-hour RSI from below, you should look for a long entry point.
Overall, everyone can choose these settings for themselves. You can also adjust the overbought and oversold zones to increase or decrease the frequency of signals.
This indicator can be a good addition to your strategy. Good luck!
SMC+The "SMC+" indicator is a comprehensive tool designed to overlay key Smart Money Concepts (SMC) levels, support/resistance zones, order blocks (OB), fair value gaps (FVG), and trap detection on your TradingView chart. It aims to assist traders in identifying potential areas of interest based on price action, swing structures, and volume dynamics across multiple timeframes. This indicator is fully customizable, allowing users to adjust lookback periods, colors, opacity, and sensitivity to suit their trading style.
Key Components and Functionality
1. Key Levels (Support and Resistance)
This section plots horizontal lines representing support and resistance levels based on highs and lows over three distinct lookback periods, plus daily nearest levels.
Short-Term Lookback Period (Default: 20 bars)
Plots the highest high (short_high) and lowest low (short_low) over the specified period.
Visualized as dotted lines with customizable colors (Short-Term Resistance Color, Short-Term Support Color) and opacity (Short-Term Resistance Opacity, Short-Term Support Opacity).
Adjustment Tip: Increase the lookback (e.g., to 30-50) for less frequent but stronger levels on higher timeframes, or decrease (e.g., to 10-15) for scalping on lower timeframes.
Long-Term Lookback Period (Default: 50 bars)
Plots broader support (long_low) and resistance (long_high) levels using a solid line style.
Customizable via Long-Term Resistance Color, Long-Term Support Color, and their respective opacity settings.
Adjustment Tip: Extend to 100-200 bars for swing trading or major trend analysis on daily/weekly charts.
Extra-Long Lookback Period (Default: 100 bars)
Identifies significant historical highs (extra_long_high) and lows (extra_long_low) with dashed lines.
Configurable with Extra-Long Resistance Color, Extra-Long Support Color, and opacity settings.
Adjustment Tip: Use 200-500 bars for monthly charts to capture macro-level key zones.
Daily Nearest Resistance and Support Levels
Dynamically calculates the nearest resistance (daily_res_level) and support (daily_sup_level) based on the current day’s price action relative to historical highs and lows.
Displayed with Daily Resistance Color and Daily Support Color (with opacity options).
Adjustment Tip: Works best on intraday charts (e.g., 15m, 1h) to track daily pivots; combine with volume profile for confirmation.
How It Works: These levels update dynamically as new highs/lows form, providing a visual guide to potential reversal or breakout zones.
2. SMC Inputs (Smart Money Concepts)
This section identifies swing structures, order blocks, fair value gaps, and entry signals based on SMC principles.
SMC Swing Lookback Period (Default: 12 bars)
Defines the period for detecting swing highs (smc_swing_high) and lows (smc_swing_low).
Adjustment Tip: Increase to 20-30 for smoother swings on higher timeframes; reduce to 5-10 for faster signals on lower timeframes.
Minimum Swing Size (%) (Default: 0.5%)
Filters out minor price movements to focus on significant swings.
Adjustment Tip: Raise to 1-2% for volatile markets (e.g., crypto) to avoid noise; lower to 0.2-0.3% for forex pairs with tight ranges.
Order Block Sensitivity (Default: 1.0)
Scales the size of detected order blocks (OBs) for bullish reversal (smc_ob_bull), bearish reversal (smc_ob_bear), and continuation (smc_cont_ob).
Visuals include customizable colors, opacity, border thickness, and blinking effects (e.g., SMC Bullish Reversal OB Color, SMC Bearish Reversal OB Blink Thickness).
Adjustment Tip: Increase to 1.5-2.0 for wider OBs in choppy markets; keep at 1.0 for precision in trending conditions.
Minimum FVG Size (%) (Default: 0.3%)
Sets the minimum gap size for Fair Value Gaps (fvg_high, fvg_low), displayed as boxes with Fair Value Gap Color and FVG Opacity.
Adjustment Tip: Increase to 0.5-1% for larger, more reliable gaps; decrease to 0.1-0.2% for scalping smaller inefficiencies.
How It Works:
Bullish Reversal OB: Detects a bearish candle followed by a bullish break, marking a potential demand zone.
Bearish Reversal OB: Identifies a bullish candle followed by a bearish break, marking a supply zone.
Continuation OB: Spots strong bullish momentum after a prior high, indicating a continuation zone.
FVG: Highlights bullish gaps where price may retrace to fill.
Entry Signals: Plots triangles (SMC Long Entry) when price retests an OB with a liquidity sweep or break of structure (BOS).
3. Trap Inputs
This section detects potential bull and bear traps based on price action, volume, and key level rejections.
Min Down Move for Bear Trap (%) (Default: 1.0%)
Sets the minimum drop required after a bearish OB to qualify as a trap.
Visualized with Bear Trap Color, Bear Trap Opacity, and blinking borders.
Adjustment Tip: Increase to 2-3% for stronger traps in trending markets; lower to 0.5% for ranging conditions.
Min Up Move for Bull Trap (%) (Default: 1.0%)
Sets the minimum rise required after a bullish OB to flag a trap.
Customizable with Bull Trap Color, Bull Trap Border Thickness, etc.
Adjustment Tip: Adjust similarly to bear traps based on market volatility.
Volume Lookback for Traps (Default: 5 bars)
Compares current volume to a moving average (avg_volume) to filter low-volume traps.
Adjustment Tip: Increase to 10-20 for confirmation on higher timeframes; reduce to 3 for intraday sensitivity.
How It Works:
Bear Trap: Triggers when price drops significantly after a bearish OB but reverses up with low volume or support rejection.
Bull Trap: Activates when price rises after a bullish OB but fails with low volume or resistance rejection.
Boxes highlight trap zones, resetting when price breaks out.
4. Visual Customization
Line Width (Default: 2)
Adjusts thickness of support/resistance lines.
Tip: Increase to 3-4 for visibility on cluttered charts.
Blink On (Default: Close)
Sets whether OB/FVG borders blink based on Open or Close price interaction.
Tip: Use "Open" for intraday precision; "Close" for confirmed reactions.
Colors and Opacity: Each element (OBs, FVGs, traps, key levels) has customizable colors, opacity (0-100), border thickness (1-5 or 1-7), and blink effects for dynamic visualization.
How to Use SMC+
Setup: Apply the indicator to any chart and adjust inputs based on your timeframe and market.
Key Levels: Watch for price reactions at short, long, extra-long, or daily levels for potential reversals or breakouts.
SMC Signals: Look for entry signals (triangles) near OBs or FVGs, confirmed by liquidity sweeps or BOS.
Traps: Avoid false breakouts by monitoring trap boxes, especially near key levels with low volume.
Notes:
This indicator is a visual aid and does not guarantee trading success. Combine it with other analysis tools and risk management strategies.
Performance may vary across markets and timeframes; test settings thoroughly before use.
For optimal results, experiment with lookback periods and sensitivity settings to match your trading style.
The default settings are optimal for 1 minute and 10 second time frames for small cap low float stocks.
Continuation OB are Blue.
Bullish Reversal OB color is Green
Bearish Reversal OB color is Red
FVG color is purple
Bear Trap OB is red with a green border and often appears with a Bearish Reversal OB signaling caution to a short position.
Bull trap OB is green with a Red border signaling caution to a long position.
All active OB area are highlighted and solid in color while other non active OB area are dimmed.
My personal favorite setups are when we have an active bullish reversal with an active FVG along with an active Continuation OB.
Another personal favorite is the Bearish reversal OB signaling an end to a recent uptrend.
The Trap OB detection are also a unique and Original helpful source of information.
The OB have a white boarder by default that are colored black giving a simulated blinking effect when price is acting in that zone.
The Trap OB border are colored with respect to direction of intended trap, all of which can be customized to personal style.
All vaild OB zones are shown compact in size ,a unique and original view until its no longer valid.
Intraday LevelsWhat it shows:
This indicator is useful for day trading, where it will track and display you important price levels which includes:
Premarket Low (PML)
Premarket High (PMH)
Previous Day Low (PDL)
Previous Day High (PDH)
Previous Day Close (PDC)
After Hours Low (AHL)
After Hours High (AHH)
Day Low (DL)
Day High (DH)
The price level lines and labels will automatically adjust itself as the price moves, eliminating the need of manually having to adjusting these levels.
How to use it:
At these levels it can act as important support resistance points during the day and can often serve as a important pivot point for any ticker. You can expect price rejection or bounce when the price approaches these levels.
Key settings:
For each of the levels, user can adjust in the settings menu:
Line Colour
Line Thickness
Line Style
Label Text
Price Labelling on Label
Label Location (Offset from current bar)
Ability to turn on/off the price level and label
Display levels for either all days or on the day
Quantify [Trading Model] | FractalystNote: In this description, "TM" refers to Trading Model (not trademark) and "EM" refers to Entry Model
What’s the indicator’s purpose and functionality?
You know how to identify market bias but always struggle with figuring out the best exit method, or even hesitating to take your trades?
I've been there. That's why I built this solution—once and for all—to help traders who know the market bias but need a systematic and quantitative approach for their entries and trade management.
A model that shows you real-time market probabilities and insights, so you can focus on execution with confidence—not doubt or FOMO.
How does this Quantify differentiate from Quantify ?
Have you managed to code or even found an indicator that identifies the market bias for you, so you don’t have to manually spend time analyzing the market and trend?
Then that’s exactly why you might need the Quantify Trading Model.
With the Trading Model (TM) version, the script automatically uses your given bias identification method to determine the trend (bull vs bear and neutral), detect the bias, and provide instant insight into the trades you could’ve taken.
To avoid complications from consecutive signals, it uses a kNN machine learning algorithm that processes market structure and probabilities to predict the best future patterns.
(You don’t have to deal with any complexity—it’s all taken care of for you.)
Quantify TM uses the k-Nearest Neighbors (kNN) machine learning algorithm to learn from historical market patterns and adapt to changing market structures. This means it can recognize similar market conditions from the past and apply those lessons to current trading decisions.
On the other hand, Quantify EM requires you to manually select your directional bias. It then focuses solely on generating entry signals based on that pre-determined bias.
While the entry model version (EM) uses your manual bias selection to determine the trend, it then provides insights into trades you could’ve taken and should be taking.
Trading Model (TM)
- Uses `input.source()` to incorporate your personal methodology for identifying market bias
- Automates everything—from bias detection to entry and exit decisions
- Adapts to market bias changes through kNN machine learning optimization
- Reduces human intervention in trading decisions, limiting emotional interference
Entry Model (EM)
- Focuses specifically on optimizing entry points within your pre-selected directional bias
- Requires manual input for determining market bias
- Provides entry signals without automating alerts or bias rules
Can the indicator be applied to any market approach/trading strategy?
Yes, if you have clear rules for identifying the market bias, then you can code your bias detection and then use the input.source() user input to retrieve the direction from your own indicator, then the Quantify uses machine-learning identify the best setups for you.
Here's an example:
//@version=6
indicator('Moving Averages Bias', overlay = true)
// Input lengths for moving averages
ma10_length = input.int(10, title = 'MA 10 Length')
ma20_length = input.int(20, title = 'MA 20 Length')
ma50_length = input.int(50, title = 'MA 50 Length')
// Calculate moving averages
ma10 = ta.sma(close, ma10_length)
ma20 = ta.sma(close, ma20_length)
ma50 = ta.sma(close, ma50_length)
// Identify bias
var bias = 0
if close > ma10 and close > ma20 and close > ma50 and ma10 > ma20 and ma20 > ma50
bias := 1 // Bullish
bias
else if close < ma10 and close < ma20 and close < ma50 and ma10 < ma20 and ma20 < ma50
bias := -1 // Bearish
bias
else
bias := 0 // Neutral
bias
// Plot the bias
plot(bias, title = 'Identified Bias', color = color.blue,display = display.none)
Once you've created your custom bias indicator, you can integrate it with Quantify :
- Add your bias indicator to your chart
- Open the Quantify settings
- Set the Bias option to "Auto"
- Select your custom indicator as the bias source
The machine learning algorithms will then analyze historical price action and identify optimal setups based on your defined bias parameters. Performance statistics are displayed in summary tables, allowing you to evaluate effectiveness across different timeframes.
Can the indicator be used for different timeframes or trading styles?
Yes, regardless of the timeframe you’d like to take your entries, the indicator adapts to your trading style.
Whether you’re a swing trader, scalper, or even a position trader, the algorithm dynamically evaluates market conditions across your chosen timeframe.
How Quantify Helps You Trade Profitably?
The Quantify Trading Model offers several powerful features that can significantly improve your trading profitability when used correctly:
Real-Time Edge Assessment
It displays real-time probability of price moving in your favor versus hitting your stoploss
This gives you immediate insight into risk/reward dynamics before entering trades
You can make more informed decisions by knowing the statistical likelihood of success
Historical Edge Validation
Instantly shows whether your trading approach has demonstrated an edge in historical data
Prevents you from trading setups that historically haven't performed well
Gives confidence when entering trades that have proven statistical advantages
Optimized Position Sizing
Analyzes each setup's success rate to determine the adjusted Kelly criterion formula
Customizes position sizing based on your selected maximum drawdown tolerance
Helps prevent account-destroying losses while maximizing growth potential
Advanced Exit Management
Utilizes market structure-based trailing stop-loss mechanisms
Maximizes the average risk-reward ratio profit per winning trade
Helps capture larger moves while protecting gains during market reversals
Emotional Discipline Enforcement
Eliminates emotional bias by adhering to your pre-defined rules for market direction
Prevents impulsive decisions by providing objective entry and exit signals
Creates psychological distance between your emotions and trading decisions
Overtrading Prevention
Highlights only setups that demonstrate positive expectancy
Reduces frequency of low-probability trades
Conserves capital for higher-quality opportunities
Systematic Approach Benefits
By combining machine learning algorithms with your personal bias identification methods, Quantify helps transform discretionary trading approaches into more systematic, probability-based strategies.
What Entry Models are used in Quantify Trading Model version?
The Quantify Trading Model utilizes two primary entry models to identify high-probability trade setups:
Breakout Entry Model
- Identifies potential trade entries when price breaks through significant swing highs and swing lows
- Captures momentum as price moves beyond established trading ranges
- Particularly effective in trending markets when combined with the appropriate bias detection
- Optimized by machine learning to filter false breakouts based on historical performance
Fractals Entry Model
- Utilizes fractal patterns to identify potential reversal or continuation points
- Also uses swing levels to determine optimal entry locations
- Based on the concept that market structure repeats across different timeframes
- Identifies local highs and lows that form natural entry points
- Enhanced by machine learning to recognize the most profitable fractal formations
- These entry models work in conjunction with your custom bias indicator to ensure trades are taken in the direction of the overall market trend. The machine learning component analyzes historical performance of these entry types across different market conditions to optimize entry timing and signal quality.
How Does This Indicator Identify Market Structure?
1. Swing Detection
• The indicator identifies key swing points on the chart. These are local highs or lows where the price reverses direction, forming the foundation of market structure.
2. Structural Break Validation
• A structural break is flagged when a candle closes above a previous swing high (bullish) or below a previous swing low (bearish).
• Break Confirmation Process:
To confirm the break, the indicator applies the following rules:
• Valid Swing Preceding the Break: There must be at least one valid swing point before the break.
3. Numeric Labeling
• Each confirmed structural break is assigned a unique numeric ID starting from 1.
• This helps traders track breaks sequentially and analyze how the market structure evolves over time.
4. Liquidity and Invalidation Zones
• For every confirmed structural break, the indicator highlights two critical zones:
1. Liquidity Zone (LIQ): Represents the structural liquidity level.
2. Invalidation Zone (INV): Acts as Invalidation point if the structure fails to hold.
How does the trailing stop-loss work? what are the underlying calculations?
A trailing stoploss is a dynamic risk management tool that moves with the price as the market trend continues in the trader’s favor. Unlike a fixed take profit, which stays at a set level, the trailing stoploss automatically adjusts itself as the market moves, locking in profits as the price advances.
In Quantify, the trailing stoploss is enhanced by incorporating market structure liquidity levels (explain above). This ensures that the stoploss adjusts intelligently based on key price levels, allowing the trader to stay in the trade as long as the trend remains intact, while also protecting profits if the market reverses.
What is the Kelly Criterion, and how does it work in Quantify?
The Kelly Criterion is a mathematical formula used to determine the optimal position size for each trade, maximizing long-term growth while minimizing the risk of large drawdowns. It calculates the percentage of your portfolio to risk on a trade based on the probability of winning and the expected payoff.
Quantify integrates this with user-defined inputs to dynamically calculate the most effective position size in percentage, aligning with the trader’s risk tolerance and desired exposure.
How does Quantify use the Kelly Criterion in practice?
Quantify uses the Kelly Criterion to optimize position sizing based on the following factors:
1. Confidence Level: The model assesses the confidence level in the trade setup based on historical data and sample size. A higher confidence level increases the suggested position size because the trade has a higher probability of success.
2. Max Allowed Drawdown (User-Defined): Traders can set their preferred maximum allowed drawdown, which dictates how much loss is acceptable before reducing position size or stopping trading. Quantify uses this input to ensure that risk exposure aligns with the trader’s risk tolerance.
3. Probabilities: Quantify calculates the probabilities of success for each trade setup. The higher the probability of a successful trade (based on historical price action and liquidity levels), the larger the position size suggested by the Kelly Criterion.
How can I get started to use the indicator?
1. Set Your Market Bias
• Choose Auto.
• Select the source you want Quantify to use as for bias identification method (explained above)
2. Choose Your Entry Timeframes
• Specify the timeframes you want to focus on for trade entries.
• The indicator will dynamically analyze these timeframes to provide optimal setups.
3. Choose Your Entry Model and BE/TP Levels
• Choose a model that suits your personality
• Choose a level where you'd like the script to take profit or move stop-loss to BE
4. Set and activate the alerts
What tables are used in the Quantify?
• Quarterly
• Monthly
• Weekly
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
- By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Tracking Lines with TP/SL + Labels at LeftA simple indicator so you can set your TP and SL tolerance along with capital and leverage.
A red line and green line will represent where current TP and SL would be on the chart along with the number of tokens you need to trade to meet the USD capital to be trades.
Just gives a visual representation of SL to key zones on the chart so you can judge scalp entries a little better :)
Bull Bear Pivot by RawstocksThe "Bull Bear Pivot" indicator is a custom Pine Script (v5) tool designed for TradingView to assist traders in identifying key price levels and pivot points on intraday charts (up to 1-hour timeframes). It combines time-based open price markers, pivot high/low detection, and candlestick visualization to provide a comprehensive view of potential support, resistance, and trend reversal levels. Below is a detailed description of the indicator’s functionality, features, and intended use.
Indicator Overview:
The "Bull Bear Pivot" indicator is tailored for intraday trading, focusing on specific times of the day to mark significant price levels (open prices) and detect pivot points. It plots horizontal lines at the open prices of user-defined sessions, identifies pivot highs and lows on the current chart timeframe, and overlays custom candlesticks to highlight price action. The indicator is designed to work on timeframes of 1 hour or less (e.g., 1-minute, 3-minute, 5-minute, 15-minute, 30-minute, 60-minute) and includes a warning mechanism for invalid timeframes.
Key Features:
Time-Based Open Price Markers:
The indicator allows users to define up to five time-based sessions (e.g., 4:00 AM, 8:30 AM, 9:30 AM, 10:00 AM, and a custom time) to capture the open price at the start of each session.
For each session, it plots a horizontal line at the 1-minute open price, extending from the session start to the market close at 4:00 PM EST.
Each line is accompanied by a label positioned 5 bars to the right of the market close (4:00 PM EST), with the text right-aligned and vertically centered on the line.
Users can enable/disable each marker, customize the session time, label text, line color, and text color via the indicator’s settings.
Pivot Highs and Lows:
The indicator calculates pivot highs and lows on the current chart timeframe using the ta.pivothigh and ta.pivotlow functions.
Pivot highs are marked with green triangles above the bars, and pivot lows are marked with red triangles below the bars.
The pivot period (lookback/lookforward) is user-configurable, allowing flexibility in detecting short-term or longer-term reversals.
Custom Candlesticks:
The indicator overlays custom candlesticks on the chart, colored green for bullish candles (close > open) and red for bearish candles (close < open).
This feature helps visualize price action alongside the open price markers and pivot points.
Timeframe Restriction:
The indicator is designed to work on timeframes of 1 hour or less. If the chart timeframe exceeds 1 hour (e.g., 4-hour, daily), a warning label ("Timeframe > 1H Indicator Disabled") is displayed, and no elements are plotted.
Customizable Appearance:
Users can customize the appearance of the open price marker lines, including the line style (solid, dashed, dotted) and line width.
Labels for the open price markers have no background (transparent) and use customizable text colors.
CME Price Limits (Futures Prop Firm Rule)This indicator shows the CME Price Limit, combined with a safety distance that is used by several futures prop firms. Trading in the highlighted area means a rule violation for many Futures prop firm accounts.
The levels are calculated from the "Settlement as close" closing price of the previous daily candle.
JPMorgan Collar LevelsThis indicator visualizes the current JPMorgan Hedging Collar strategy commonly used by institutional funds like JHEQX. It plots three key levels:
– Short Call strike (upper bound)
– Long Put strike (protection level)
– Short Put strike (cost reduction)
The area between the long put and short call is shaded to represent the active hedging zone. This setup is updated quarterly and can influence SPX market behavior near expiration dates.
Inputs are customizable to reflect the latest collar configuration. Useful for traders tracking institutional hedging flows or analyzing market structure near key option expirations.
10K's RTH open ±0.35% for CMEInstant Visualization of ±0.35% from RTH Open — Spot Intraday Reversals at a Glance!
This is a visual tool designed for the U.S. regular trading hours (RTH), which instantly highlights the ±0.35% range from the RTH opening price of futures at the start of the session.
The range is displayed as a light purple box, accompanied by a dashed line marking the exact opening price, helping traders quickly assess how price reacts around this key level.
With adjustable transparency settings, this tool is ideal for intraday analysis of price positioning and directional strength — a valuable aid for short-term trading strategies.
Market Phases (ZigZag + MA + RSI)This script is a TradingView Pine Script that visualizes market phases using the ZigZag pattern, Moving Averages (MA), and the Relative Strength Index (RSI). It allows traders to identify key market conditions, such as accumulating, distributing, bullish, and bearish phases based on price movements and momentum indicators.
#### Components
1. ZigZag Settings:
- Depth: Controls the sensitivity of the ZigZag indicator. A higher value results in fewer price points being considered as reversals.
- Deviation: Defines the minimum percentage change needed to identify a ZigZag point, preventing small fluctuations from being registered.
- Backstep: Specifies the number of bars to look back for identifying highs and lows.
2. Moving Average Settings:
- MA Length: The number of periods used to calculate the moving average.
- MA Type: The type of moving average to use, either Simple Moving Average (SMA) or Exponential Moving Average (EMA).
3. RSI Settings:
- RSI Length: The period for calculating the RSI.
- Overbought Level: The threshold above which the asset is considered overbought.
- Oversold Level: The threshold below which the asset is considered oversold.
4. Calculations:
- Moving Average and RSI Calculation: The script calculates either an SMA or EMA and the RSI based on user-defined settings.
5. ZigZag Enhanced Calculation:
- It identifies swing highs and lows to determine the ZigZag points for improved trend analysis.
6. Trend Direction:
- The script checks the direction of the trend based on the latest ZigZag points.
7. Market Phase Determination:
- The script defines the market phase (Accumulation, Distribution, Bullish, Bearish) based on the trend direction and levels from the RSI and relationship with the moving average.
8. Background Colors:
- The background is tinted according to the identified market phase for visual clarity.
9. Labels and Plotting:
- Labels are generated at the last bar with the current phase and RSI value.
- The moving average and last ZigZag points are plotted on the chart for further reference.
### Conclusion
This script provides a comprehensive view of market conditions by integrating multiple indicators, helping traders make informed trading decisions based on market dynamics. The ability to visualize phases and key indicators aids in recognizing potential entry and exit points in trading strategies.
If you have any questions or need further modifications, feel free to ask!
