Gap Detection [Gold_Zilla]📌 Gap Detection
Description:
The Gap Detection indicator is designed to identify and visually mark price gaps between consecutive candles on your chart. Gaps can occur when a financial instrument opens at a significantly different price from its previous close, which some traders interpret as signals of strong momentum, market inefficiency, or upcoming reversals.
This tool helps users track such gaps in real time and monitor whether they have been filled — meaning price has retraced to the gap level after the gap appeared.
🔍 Core Features:
Automatic Gap Detection
Detects upward gaps (when today's low is above the previous close) and downward gaps (when today's high is below the previous close).
Customizable Sensitivity
Set a minimum gap size (% threshold) to filter out small price differences.
Real-Time Monitoring
Gaps are drawn as horizontal lines and persist until they are filled. Once filled (price crosses the gap level), they are automatically removed from the chart.
Visual Customization Options
Choose your gap line colors for up/down gaps
Select the line style (solid, dashed, dotted)
Adjust line width
Control the maximum number of tracked gaps (to reduce clutter)
Optional label display (disabled by default for minimalism)
⚙️ Inputs:
Minimum Gap Size (%) – Threshold to qualify a price movement as a gap (default: 1%).
Up/Down Gap Color – Colors for visualizing up/down gaps.
Line Style & Width – Format the gap lines to your preference.
Maximum Gaps to Track – Avoid performance issues by limiting active gap lines.
Show Gap Labels (currently disabled in code) – Option to label gap levels with price and direction.
📈 How to Use:
Add this script to your chart on any timeframe or asset.
Gaps will appear automatically as horizontal lines, helping you spot unfilled gaps.
Can be used to identify potential support/resistance zones, or areas where price may return to fill a gap.
Note: Not all gaps get filled — always combine with other forms of analysis or confirmation tools.
⚠️ Disclaimer:
This script is for informational and educational purposes only and does not constitute financial advice. Past performance or price behavior does not guarantee future results. Always use proper risk management and consult a financial advisor before making trading decisions.
TVC:GOLD
Cerca negli script per "track"
Time-based LiquidityThis indicator automatically marks important time-based liquidity levels on your chart, helping you stay aware of where major price reactions may occur and the market is forced to show its hand.
Key Features:
Previous Month’s, Week’s, and Day’s Highs and Lows: Displays PMH/PML, PWH/PWL, and PDH/PDL — key reference points where liquidity often accumulates.
Intraday Session Highs and Lows: Divides the trading day into quarters (00:00–06:00, 06:00–12:00, etc. following Day’s Quarterly Theory) and tracks session highs and lows dynamically across these periods.
Current Session 90-Minute Quarters: Splits the active session into 90-minute intervals to highlight short-term liquidity structures and potential reaction zones.
Level Alerts: Tracks when each liquidity level is reached and enables customizable alerts so you don’t miss important price movements.
Use Case:
This tool provides an organized, time-based framework for identifying where liquidity is likely to concentrate across different timeframes and intraday cycles. Use these levels for forming bias, planning entries, exits, or anticipating price reactions at key points in the market structure.
Customization Options:
Enable/disable liquidity levels to display (Daily, Weekly, Monthly, Sessions, Session Quarters)
Customize the appearance of each level (color, style, line width)
Enable or disable tracking and alerts for level interactions
ETH to RTH Gap DetectorETH to RTH Gap Detector
What It Does
This indicator identifies and tracks custom-defined gaps that form between Extended Trading Hours (ETH) and Regular Trading Hours (RTH). Unlike traditional gap definitions, this indicator uses a specialized approach - defining up gaps as the space between previous session close high to current session initial balance low, and down gaps as the space from previous session close low to current session initial balance high. Each detected gap is monitored until it's touched by price.
Key Features
Detects custom-defined ETH-RTH gaps based on previous session close and current session initial balance
Automatically identifies both up gaps and down gaps
Visualizes gaps with color-coded boxes that extend until touched
Tracks when gaps are filled (when price touches the gap area)
Offers multiple display options for filled gaps (color change, border only, pattern, or delete)
Provides comprehensive statistics including total gaps, up/down ratio, and touched gap percentage
Includes customizable alert system for real-time gap filling notifications
Features toggle options for dashboard visibility and weekend sessions
Uses time-based box coordinates to avoid common TradingView drawing limitations
How To Use It
Configure Session Times : Set your preferred RTH hours and timezone (default 9:30-16:00 America/New York)
Set Initial Balance Period : Adjust the initial balance period (default 30 minutes) for gap detection sensitivity
Monitor Gap Formation : The indicator automatically detects gaps between the previous session close and current session IB
Watch For Gap Fills : Gaps change appearance or disappear when price touches them, based on your selected style
Check Statistics : View the dashboard to see total gaps, directional distribution, and touched percentage
Set Alerts : Enable alerts to receive notifications when gaps are filled
Settings Guide
RTH Settings : Configure the start/end times and timezone for Regular Trading Hours
Initial Balance Period : Controls how many minutes after market open to calculate the initial balance (1-240 minutes)
Display Settings : Toggle gap boxes, extension behavior, and dashboard visibility
Filled Box Style : Choose how filled gaps appear - Filled (color change), Border Only, Pattern, or Delete
Color Settings : Customize colors for up gaps, down gaps, and filled gaps
Alert Settings : Control when and how alerts are triggered for gap fills
Weekend Session Toggle : Option to include or exclude weekend trading sessions
Technical Details
The indicator uses time-based coordinates (xloc.bar_time) to prevent "bar index too far" errors
Gap boxes are intelligently limited to avoid TradingView's 500-bar drawing limitation
Box creation and fill detection use proper range intersection logic for accuracy
Session detection is handled using TradingView's session string format for reliability
Initial balance detection is precisely calculated based on time difference
Statistics calculations exclude zero-division scenarios for stability
This indicator works best on futures markets with extended and regular trading hours, especially indices (ES, NQ, RTY) and commodities. Performs well on timeframes from 1-minute to 1-hour.
What Makes It Different
Most gap indicators focus on traditional open-to-previous-close gaps, but this tool offers a specialized definition more relevant to ETH/RTH transitions. By using the initial balance period to define gap edges, it captures meaningful price discrepancies that often provide trading opportunities. The indicator combines sophisticated gap detection logic with clean visualization and comprehensive tracking statistics. The customizable fill styles and integrated alert system make it practical for both chart analysis and active trading scenarios.
Flow State Model [TakingProphets]🧠 Indicator Purpose:
The "Flow State Model" by Taking Prophets is a precision-built trading framework based on the Inner Circle Trader (ICT) methodology. This script implements and automates the Flow State Model, a highly effective multi-timeframe trading system created and popularized by ITS Johnny.
It is designed to help traders systematically align higher timeframe liquidity draws with lower timeframe confirmation patterns, offering a clear roadmap for catching institutional moves with high confidence.
🌟 What Makes This Indicator Unique:
This is not a simple liquidity indicator or a basic FVG plotter. The Flow State Model executes a full multi-step process:
Higher Timeframe PD Array Detection: Automatically identifies and displays Fair Value Gaps (FVGs) from Daily, Weekly, and Monthly timeframes.
Liquidity Sweep Monitoring: Tracks swing highs and lows to detect Buyside or Sellside Liquidity sweeps into the HTF PD Arrays.
CISD Detection: Waits for a Change in State of Delivery (CISD) by monitoring bullish or bearish displacement after a sweep.
Full Trade Checklist: Visual checklist ensures all critical conditions are met before signaling a completed Flow State setup.
Sensitivity Control: Adapt detection strictness (High, Medium, Low) based on market volatility.
⚙️ How the Indicator Works (Detailed):
Fair Value Gap Mapping:
The indicator constantly scans higher timeframes (4H, Daily, Weekly) for valid bullish or bearish Fair Value Gaps that are large enough (based on ATR multiples) and not weekend gaps.
These FVGs are displayed on the current timeframe with full extension logic and mitigation handling (clearing when invalidated).
Liquidity Sweep Detection:
Swing highs and lows are identified using pivot logic (3-bar pivots). When price sweeps beyond a recent liquidity point into an active FVG, it flags the potential for a Flow State setup.
Change in State of Delivery (CISD) Confirmation:
After a sweep, the script monitors price action for a sequence of bullish or bearish candles followed by displacement (break in delivery).
Only after displacement closes beyond the initiating sequence does a CISD level plot, confirming the market's new delivery state.
Execution Checklist:
An optional table tracks whether critical components are present:
Higher Timeframe PD Array.
Aligned Timeframe Bias.
Liquidity Sweep into FVG.
SMT Divergence (optional manual confirmation).
CISD Confirmation.
Dynamic Management:
Active gaps are extended automatically.
Cleared gaps and mitigated CISDs are deleted to keep charts clean.
Distance-to-FVG prioritization keeps only the nearest active setups visible.
🎯 How to Use It:
Step 1: Identify the bias by locating active higher timeframe FVGs.
Step 2: Wait for a Liquidity Sweep into a PD Array (active FVG).
Step 3: Watch for a CISD event (the Flow State confirmation).
Step 4: Once all conditions are checked off, execute trades based on retracements to CISD levels or continuation after displacement.
Best Timing:
During ICT Killzones: London Open, New York AM.
After daily or weekly liquidity events.
🔎 Underlying Concepts:
Liquidity Theory: Markets seek to engineer liquidity for real institutional entries.
Fair Value Gaps: Imbalances where price is expected to react or rebalance.
Change in State of Delivery (CISD): Confirmation that the market's delivery mechanism has shifted, validating bias continuation.
Flow State Principle: Seamlessly aligning higher timeframe liquidity draws with lower timeframe confirmation to maximize trade probability.
🎨 Customization Options:
Adjust sensitivity (High / Medium / Low) for volatile or calm conditions.
Customize FVG visibility, CISD display, labels, line colors, and sizing.
Set checklist visibility and manual tracking of SMT or aligned bias.
✅ Recommended for:
Traders studying Inner Circle Trader (ICT) models.
Intraday scalpers and swing traders seeking confluence-driven setups.
Traders looking for a structured, checklist-based execution process.
Alpha Trigger CoreAlpha Trigger Core — Trend Momentum Strategy with Dual Take Profit System
Alpha Trigger Core is a precision-engineered trend-following strategy developed for crypto and altcoin markets. Unlike simple indicator mashups, this system was built from the ground up with a specific logic framework that integrates trend, momentum, volatility, and structure validation into a single unified strategy.
It is not a random combination of indicators, but rather a coordinated system of filters that work together to increase signal quality and minimize false positives. This makes it especially effective on trending assets like BTC, ETH, AVAX, and SOL on the 1-hour chart.
🔍 How It Works
This strategy fuses multiple advanced filters into a cohesive signal engine:
🔹 Trend Identification
A hybrid model combining:
Kalman Filter — Smooths price noise with predictive tracking.
SuperTrend Overlay — Confirms directional bias using ATR.
ZLEMA Envelope — Defines dynamic upper/lower bounds based on price velocity.
🔹 Momentum Filter
Uses a ZLEMA-smoothed CCI to identify accelerating moves.
Long entries require a rising 3-bar CCI sequence.
Short entries require a falling 3-bar CCI sequence.
🔹 Volatility Strength Filter (Vortex Indicator)
Validates entries only when Vortex Diff exceeds a customizable threshold.
Prevents low-volatility "chop zone" trades.
🔹 Wick Trap Filter
Filters out false breakouts driven by liquidity wicks.
Validates that body structure supports the breakout.
📈 Entry & Exit Logic
Long Entry: All trend, momentum, volatility filters must align bullishly and wick traps must be absent.
Short Entry: All filters must align bearishly, with no wick rejection.
Early Exit: Uses ZLEMA slope crossover to exit before a full trend reversal is confirmed.
🎯 Take Profit System
TP1: Takes 50% profit at a user-defined % target.
TP2: Closes remaining 100% at second target.
Cooldown: Prevents immediate reentry and ensures clean position transitions.
📊 Real-Time Strategy Dashboard
Tracks and displays:
Position status (Long, Short, Flat)
Entry Price
TP1/TP2 Hit status
Win Rate (%)
Profit Factor
Bars Since Entry
Fully customizable position & font size
🤖 Bot-Ready Multi-Exchange Alerts
Compatible with WonderTrading, 3Commas, Binance, Bybit, and more.
Customizable comment= tags for entry, exit, TP1, and TP2.
Fully alert-compatible for webhook integrations.
📌 Suggested Use
Best used on trending crypto pairs with moderate-to-high volatility. Recommended on the 1H timeframe for altcoins and majors. Can be used for manual confirmation or automated trading.
🔒 Script Transparency
This is a closed-source script. However, the description above provides a transparent breakdown of the strategy’s core logic, filters, and execution model — ensuring compliance with TradingView’s publishing guidelines.
⚠️ Trading Disclaimer
This script is for educational purposes only and is not financial advice. Always conduct your own analysis before making investment decisions. Past performance does not guarantee future results. Use this strategy at your own risk.
Session Breakouts & Trend Indicator# Session Breakouts & Trend Indicator
This indicator identifies high-probability trading opportunities by tracking key intraday sessions and their breakouts while aligning them with the overall market trend direction.
## What Makes This Indicator Unique
Unlike standard breakout indicators that only identify when price crosses a threshold, this indicator:
- Dynamically identifies and tracks important daily sessions (default: AM 09:00-10:00 and PM 15:00-16:00)
- Determines trend direction using a triple EMA system (20/50/200)
- Shows when breakouts align with the overall trend (higher probability setups)
- Provides visual confirmation with session ranges, breakout levels, and background highlighting
- Includes a comprehensive information panel showing trend/session alignment
## How It Works
The indicator tracks two important daily sessions:
1. **AM Session**: Typically the first hour of trading (default: 09:00-10:00)
2. **PM Session**: Typically the last hour of trading (default: 15:00-16:00)
For each session, it:
- Marks the high and low range
- Establishes breakout levels above/below these ranges
- Detects when price breaks beyond these levels
- Determines if the breakout aligns with the prevailing trend
The trend is calculated using three EMAs (20, 50, 200) for reliable trend identification.
## How To Use
1. Apply the indicator to your chart (works best on 5-minute timeframes)
2. Adjust session times to match your trading schedule if needed
3. Watch for breakouts above session highs (bullish) or below session lows (bearish)
4. Check the information panel to see if the breakout aligns with the trend
5. Enter trades in the direction of trend-aligned breakouts for higher probability setups
6. Set stop losses below the opposite side of the session range
## Settings
- **Session Times**: Customize AM and PM session times
- **EMA Lengths**: Adjust trend determination sensitivity
- **Visualization Options**: Toggle display of sessions, breakouts, and VWAP
- **Alert Settings**: Configure alerts for breakouts and trend-aligned conditions
This indicator is valuable for day traders and swing traders looking for objective entry points with higher probability of success.
ZenAlgo - Golden VeinOverview and Motivation
This indicator combines multiple volume-weighted average price (VWAP) calculations from different timeframes and then merges them into a single composite line called “the Vein”. It begins by pulling a user-defined source (for instance, a typical price) and then anchors a VWAP on daily, weekly, monthly, quarterly, semiannual, and yearly intervals. By viewing all these timeframes together, the script captures multi-period trends in a way that stands apart from simpler, single-timeframe VWAP indicators. This comprehensive perspective is designed to offer practical benefits to those who monitor both short- and long-term VWAP behavior within a single tool.
Because it tracks many timeframes simultaneously, it can highlight instances when short-term and long-term VWAPs converge or diverge. Traders who need multi-timeframe validation may find this approach particularly helpful. Other free indicators typically restrict themselves to one or two timeframes, so the built-in multi-timeframe data in this script can save effort for those who rely heavily on VWAP analysis.
Core Inputs and Offsets
At the start, the script takes a single price input (e.g., the average of high, low, and close) and uses it to compute multiple VWAP lines. Users can also choose a distance factor (based on an ATR calculation) to control how far labels are placed from any crossover events. This distance sets how clearly the chart will display labels without overcrowding.
Beyond giving a cleaner visual, having a user-defined distance for labels means the script can adapt to any ticker’s volatility. If one trades assets with large intraday swings, the script leaves enough space for labels to remain readable. This flexibility is something that simpler free VWAP scripts might lack.
Multi-Timeframe VWAP Computations
The script calculates distinct VWAP lines: Daily, Weekly, Monthly, Quarterly (3-Month), Semiannual (6-Month), and Yearly (12-Month). Each line resets whenever it detects a new period has started, ensuring that each timeframe’s VWAP properly anchors to its own session window. This allows the indicator to track how the market perceives fair value (through VWAP) on multiple horizons, all at once.
Simultaneously checking these various intervals can offer added clarity to traders who want to compare immediate market conditions (e.g., daily) to broader contexts (e.g., quarterly or yearly). Tools that only show one or two timeframes may miss the nuances that arise when, say, daily VWAP aligns with monthly VWAP at a turning point.
Crossover Detection and Labeling
Whenever two different VWAP lines intersect, the script generates an internal crossover signal. It then draws small labels (e.g., D↑W or M↓Q) to highlight that a lower timeframe VWAP has moved above or below a higher timeframe VWAP. These labels use color-coding and an ATR-based offset to remain visible.
An additional subtle feature is how daily VWAP crossovers can optionally be displayed only on a specific weekday and hour. That allows users who only want to track daily crossovers under certain conditions (for example, a fixed point in the weekly cycle) to filter out other signals. This adaptability can be worth paying for if one needs advanced filtering—an area where simpler free VWAP cross indicators typically do not offer such granular control.
The “Golden VWAP” (Composite Calculation)
All six VWAP lines (daily, weekly, monthly, quarterly, semiannual, yearly) feed into a central average called “the Vein”. The script takes the midpoint of these six values on each bar, effectively combining short-, medium-, and long-term VWAP data into one. This composite serves as a reference line for overall market direction.
A volatility band (either a standard-deviation-based range or a user-defined percentage) wraps around this composite. The script thereby creates an upper and a lower boundary around the Golden VWAP, called “Resistance” and “Support.” Traders may interpret price moves beyond these levels as higher-probability expansions or contractions, but there is no guarantee of outcome. In choppier markets, breakouts above or below these bands might not lead to follow-through, so interpretation should always be combined with other evidence.
Simplified Market State Logic
By checking how price and the Golden VWAP behave from one bar to the next, the script tags the market state with labels like Bullish, Bearish, Super Bullish, or Super Bearish. These classifications hinge on whether the Golden VWAP is rising or falling, and whether price has crossed above or below the composite band. An optional table in the lower-left corner of the chart displays this label.
While such classification is convenient for scanning changing conditions quickly, it should be interpreted with caution. If the market is sideways or if volume patterns are erratic, the script can produce signals that do not align with real momentum. Treat these states as indications of potential bias rather than automatic buy or sell triggers.
Added Value
By gathering VWAP lines across multiple timeframes, generating alerts on all possible combinations of crossovers, and overlaying a composite VWAP with adjustable volatility bands, this script goes beyond typical single-timeframe VWAP indicators. It aims to let users track short-term shifts (e.g., daily crossing weekly) in the context of longer-term trends (e.g., yearly). This granularity and automation can reduce the need for multiple charts or manual recalculations of different VWAP windows.
Why It Can Be Worth Paying For
The capability to simultaneously anchor VWAP to multiple timeframes, detect crossovers, filter out daily signals by weekday/hour, and visualize a composite “Vein” with adjustable ranges represents a comprehensive feature set that free scripts often do not bundle together. For those who rely on multi-timeframe VWAP analysis, the time saved and clarity gained may justify a paid solution.
Interpreting Values
Crossover labels: Identify points where one timeframe’s VWAP moves above or below another. The direction (up or down) suggests potential momentum shifts.
Golden VWAP line: Treat it as the average “fair value” across all anchored periods. Large price moves above or below this line’s surrounding band might signal increased directional conviction—or false breakouts if volume is deceptive.
Market states: Use the Bullish/Super Bullish/Bearish/Super Bearish labels to gauge how price interacts with the composite’s slope and band.
How to Use It Best
Combine these signals with other risk-management methods.
Monitor multiple crossovers in tandem: for example, daily crossing weekly plus monthly crossing quarterly may offer stronger confluence.
Use the optional daily-label toggle to stay focused on selected higher-confidence signals if you find too many crossovers distracting.
Remember that every alert or label should be evaluated in broader market context and your own trading strategy.
Potential Shortcomings
As with any technical study, VWAP lines and crossovers are not foolproof predictors. The script can be less reliable in low-volume or fast-moving conditions. Large price shocks can cause abrupt changes that do not fit the typical patterns this indicator looks for.
In short, this script’s distinct advantage is showing multiple anchored VWAPs and a composite perspective in one place, offering fine control of alerts and appearance settings. Those who benefit most are chartists who want deeper VWAP insights across various timescales without juggling multiple separate indicators. However, like any technical tool, it should be understood as an aid rather than a guarantee of outcomes.
Average Entry Price Calculator# Average Entry Price Calculator
This powerful indicator helps you track your average entry price across multiple positions, displaying it clearly on your chart with customizable lines and labels.
## Features:
• Calculate average entry price for up to 5 different positions
• Display current price and profit/loss calculations
• Show percentage and absolute change from your average entry
• Customizable line styles, colors, and label positions
• Track your entry prices with clear visual references
## How It Works:
Enter your position details (entry price and amount in USDT), and the indicator will calculate your average entry price, displaying it as a horizontal line on your chart. The indicator also shows your individual entry prices as separate lines, making it easy to visualize your overall position.
## Perfect For:
• DCA (Dollar-Cost Averaging) strategies
• Position tracking across multiple entries
• Risk management and profit taking
• Visualizing entry zones on your chart
## Instructions:
1. Add the indicator to your chart
2. Enter your position details (price and amount)
3. Customize the visual appearance as needed
4. Use the displayed average entry line for decision making
All calculations are done locally in your browser - no sensitive data is transmitted or stored.
Enjoy more informed trading decisions with this essential position tracking tool!
Multitimeframe Fair Value Gap – FVG (Zeiierman)█ Overview
The Multitimeframe Fair Value Gap – FVG (Zeiierman) indicator provides a dynamic and customizable visualization of institutional imbalances (Fair Value Gaps) across multiple timeframes. Built for traders who seek to analyze price inefficiencies, this tool helps highlight potential entry points, unmitigated gaps, and directional bias using smart volume logic and adaptive visual elements.
A Fair Value Gap (FVG) forms when there's a three-candle sequence in which a market imbalance leaves a "gap" between the wicks of candle 1 and candle 3. These areas are often considered footprints of institutional activity, and this indicator gives you the tools to track them with surgical precision across any timeframe you choose—regardless of the one you're viewing.
This indicator also includes a trend filter powered by a low-pass Butterworth filter, enabling traders to distinguish between countertrend vs. trend-aligned FVGs for more intelligent decision-making. On top of that, it features a dynamic FVG table for live tracking and bull/bear volume power visualization inside each gap, adding powerful clarity to market intent.
█ How It Works
The indicator analyzes the open, high, low, close, and volume of candles from a user-selected timeframe. It identifies Fair Value Gaps based on wick logic and only confirms those that meet customizable strength criteria. Once detected, the indicator visualizes each FVG with dynamically extending boxes, optional buy/sell volume bars, and a real-time mitigation check.
⚪ Multitimeframe Logic
Users can analyze FVGs from a higher or lower timeframe regardless of their current chart.
This is achieved using request.security() to fetch OHLCV data from the chosen timeframe.
⚪ Wick Sensitivity & Impulse Filter
The script measures the wick size of potential FVG candles and compares them to a running average. Only FVGs with wick sizes above a certain sensitivity threshold (user-controlled) are plotted. This ensures only meaningful price dislocations (e.g., strong impulsive moves) are shown, reducing noise.
⚪ Midpoint Mitigation Logic
FVGs are marked as "mitigated" when the price revisits the gap area. Traders can choose whether full gap closure or just a midpoint touch is required. This allows faster reactivity in real-time trading environments.
⚪ Bull & Bear Power – Volume-Weighted Visualization
Every Fair Value Gap box includes sub-bars representing the estimated buy and sell effort that created the gap. These are calculated using the candle's close in relation to its high/low range and volume:
Buy Volume % ≈ effort from low to close
Sell Volume % ≈ effort from high to close
Each sub-bar inside the FVG:
Is color-coded (UpCol for bullish, DnCol for bearish)
Is drawn proportionally to the strength of buyers or sellers
Visually displays who was in control during the imbalance
⚪ FVG Table – Dynamic On-Chart Overview
The indicator includes an optional on-chart table that displays all currently active (unmitigated) FVGs in a side panel format:
Automatic updates as gaps are formed and mitigated
Color-coded rows to show bullish vs. bearish FVGs
Timestamps to know precisely when the gap formed
User-controlled position via Table Left and Table Right
This is a gap watchlist overlay, giving traders a concise view of current inefficiencies without manually scanning the chart.
⚪ FVG Trend Filter (Butterworth Smoother)
Using a two-pole Butterworth low-pass filter, the indicator computes a trendline based on average FVG values, offering a smooth but responsive directional signal.
Passband Ripple (dB): Controls sensitivity and overshoot tolerance
Cutoff Frequency (0–0.5): Sets how quickly the trendline reacts
The trendline helps categorize each FVG:
Trend up → favor bullish FVGs
Trend down → favor bearish FVGs
It adds an extra dimension to FVG entries, helping distinguish between trend-aligned and countertrend signals.
█ How to Use
⚪ Identify Institutional Gaps
Use this tool to identify areas where institutions may have left imbalances behind quickly.
These areas often become:
Strong support/resistance zones
Areas where price might react sharply
Targets for liquidity sweeps or retracements
⚪ React to Trend or Countertrend
The built-in trendline helps categorize each FVG:
Trend up → Bullish FVGs have higher validity
Trend down → Bearish FVGs have higher validity
⚪ Volume Context via Bull/Bear Power
Each Fair Value Gap is more than just a price imbalance — it’s a story of effort and intent. The Bull/Bear Power feature visualizes the buy and sell pressure behind each FVG, helping you understand how the gap was formed and who was in control.
A bullish FVG with a strong buy effort suggests continuation potential — buyers dominated the move.
A bullish FVG with a dominant sell effort could signal a trap or reversal — sellers may have overwhelmed the breakout.
These insights allow you to confirm imbalance strength, spot traps early, and add confidence to entries based on dominant volume profiles.
Instead of viewing gaps as static zones, this feature turns each into a live volume map — a visual breakdown of who moved the market and whether that move had conviction.
⚪ Plan with the FVG Table
The FVG Table acts as your on-chart control center for tracking active imbalances. When enabled, it provides a clear summary of all unmitigated Fair Value Gaps, helping you stay organized and focused during fast-moving sessions.
Track live and historical gaps: See exactly when and where each FVG formed.
Monitor older, still-valid zones: Gaps off-screen but not mitigated remain in play — perfect for anticipating future reactions.
Gauge market bias at a glance: The balance of bullish vs. bearish FVGs helps you understand overall directional pressure.
Plan entries confidently: Use the table to reference all zones for risk management, confluence stacking, or layered execution strategies.
Instead of manually scanning your chart, the FVG Table offers a clean, at-a-glance overview of the market’s inefficiencies — giving you the structure needed to act with precision.
█ Settings
FVG Timeframe
Select any timeframe to source FVGs independent of your current chart.
Sensitivity
Filter FVGs by how impulsive the move is — it helps you eliminate weak gaps.
Mitigated on Mid
Control whether gaps are removed at midpoint touch or full fill.
Table Settings
Control the table position and width. Cleanly view all active FVGs.
FVG Style
Customize gap box colors, length, and bullish/bearish overlays.
Trend Filter
Enable or disable the smoothed FVG-based trendline with customizable smoothing controls.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
SUPeR TReND 2.718An evolved version of the classic Supertrend, SUPeR TReND 2.718 is built to deliver elegant, high-precision trend detection using Euler's constant (e = 2.718) as its default multiplier. Designed for clarity and visual flow, this indicator brings together smooth line work, intelligent color logic, and a minimalistic tally system that tracks trend persistence — all in a highly customizable, overlay-ready format.
Unlike traditional implementations, this version maintains line visibility regardless of fill opacity, ensuring crisp tracking even in complex environments. Ideal for traders who value both aesthetics and actionable structure.
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🔑 Key Features:
- 📐 ATR-based Supertrend with default multiplier = e (2.718)
- 📉 Dynamic trend line with optional fill beneath price
- ⏳ Trend duration tally label (count-only or full format)
- ⬆️ Higher-timeframe Supertrend overlay (optional)
- 🟢 Directional candle coloring for clarity
- 🟡 Subtle anchor line to guide perception without clutter
- ⚙️ PineScript v6 compliant, efficient and modular
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🧠 Interpretation Guide:
- The Supertrend line tracks trend support or resistance — beneath price in uptrends, above in downtrends.
- The shaded fill reflects direction with 70% transparency.
- The trend tally label counts how long the current trend has lasted.
- Candle colors confirm direction without overtaking price action.
- The optional HTF line shows higher-timeframe context.
- A soft yellow anchor line stabilizes the fill relationship without distraction.
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⚙️ Inputs & Controls:
- ✏️ ATR Length – Volatility lookback
- 🧮 Multiplier – Default = 2.718 (Euler's number)
- 🕰️ Higher Timeframe – Choose your bias frame
- 👁️ Show HTF / Main – Toggle each trend layer
- 🧾 Show Label / Simplify – Show trend duration, with or without arrows
- 🎨 Color Candles – Turn directional bar coloring on or off
- 🪄 Show Fill – Toggle the shaded visual rhythm
- 🎛️ All visuals use tuned colors and transparencies for clarity
__________________________________________________________
🚀 Best Practices:
- ✅ Works on any time frame; shines on 1h v. 1D
- 🔁 Use the HTF line for macro bias filtering
- 📊 Combine with volume or liquidity overlays for edge
- 🧱 Use as a structural base layer with minimalist stacks
__________________________________________________________
📈 Strategy Tips:
- 🧭 MTF Trend Alignment: Enable the HTF line to filter trades. If the HTF trend is up, only take longs on the lower frame, and vice versa.
- 🔁 Pullback Entries: During a strong trend, consider short-term dips below the Supertrend line as possible re-entry zones — only if HTF remains aligned.
- ⏳ Tally for Exhaustion: When the bar count exceeds 15+, look for confluence (volume divergence, key levels, reversal signals).
- ⚠️ HTF Flip + Extended Trend: When the HTF trend reverses while the main trend is extended, that may be a macro exit or fade signal.
- 🚫 Solo Mode: Disable HTF and use the main trend + tally as a standalone signal layer.
- 🧠 Swing Setup Friendly: Especially powerful on 1D or 1h in swing systems or trend-based grid strategies.
Market Push Meter - CoffeeStyleMarket Push Meter - CoffeeKiller Indicator Guide
Welcome traders! This guide will walk you through the Market Push Meter indicator, a sophisticated volume analysis tool developed by CoffeeKiller with the help and assistance of FindBetterTrades that measures and visualizes the ongoing battle between buyers and sellers through volume pressure analysis.
🔔 **Warning: This Is Not a Standard Volume Indicator** 🔔 This indicator analyzes volume pressure in a unique way, combining directional volume with price action to identify market imbalances between buyers and sellers. All credit for the core logic for this indicator goes to FindBetterTrades and his/hers Volume Pressure Histogram (Normalized) (this is my adaptation and style added to that core logic, thus the CoffeeStyle name was added).
Core Concept: Volume Pressure Analysis
The foundation of this indicator lies in measuring the imbalance between buying and selling volume, providing insights into which market participants are exerting more pressure on price movements.
Volume Pressure Columns: Buying vs Selling Force
- Positive Green Columns: Net buying pressure
- Negative Red Columns: Net selling pressure
- Color intensity varies based on pressure strength
- Special coloring for new high/low boundaries
Marker Lines: Dynamic Support/Resistance
- High Marker Line (Magenta): Tracks the highest point reached during buying phases
- Low Marker Line (Cyan): Tracks the lowest point reached during selling phases
- Creates visual boundaries showing pressure extremes
Peak Detection System:
- Triangular markers identify significant local maxima and minima
- Background highlighting shows important pressure peaks
- Helps identify potential reversal points and pressure exhaustion
Reference Lines:
- Overbought Level: Threshold for extreme selling pressure
- Oversold Level: Threshold for extreme buying pressure
- Used to identify potential reversal zones
Core Components
1. Volume Pressure Calculation
- Separation of up-volume and down-volume
- Calculation of net volume pressure
- Smoothing for consistent visualization
- Normalization against total volume for percentage scaling
2. Boundary Tracking System
- Automatic detection of highest values in buying phases
- Automatic detection of lowest values in selling phases
- Step-line visualization of boundaries
- Color-coded for easy identification
3. Peak Detection System
- Identification of local maxima and minima
- Background highlighting of significant peaks
- Triangle markers for peak visualization
- Zero-line cross detection for trend changes
4. Threshold Settings
- Extreme threshold multiplier for identifying significant pressure
- Overbought/oversold levels for potential reversals
- Dynamic color coding based on pressure intensity
- Alert conditions for key pressure levels
Main Features
Volume Analysis Settings
- Customizable volume MA length
- Signal smoothing for clearer readings
- Optional log scale for handling wide range variations
- Adjustable threshold multiplier for sensitivity
Visual Elements
- Color-coded columns showing pressure direction and strength
- Dynamic marker lines for pressure boundaries
- Peak triangles for significant turning points
- Background highlighting for peak identification
- Overbought/oversold reference lines
Signal Generation
- Zero-line crosses for trend change signals
- Boundary breaks for pressure strength
- Peak formation for potential reversals
- Color changes for pressure direction and intensity
- Alert conditions for extreme pressure levels
Customization Options
- Volume analysis parameters
- Marker line visibility and colors
- Peak marker display options
- Log scale toggle for handling various markets
- Overbought/oversold threshold adjustments
Trading Applications
1. Trend Identification
- Volume pressure crossing above zero: buying pressure emerging
- Volume pressure crossing below zero: selling pressure emerging
- Column color: indicates pressure direction
- Column height: indicates pressure strength
- Signal line: confirms overall trend direction
2. Reversal Detection
- Peak triangles after extended trend: potential exhaustion
- Background highlighting: significant reversal points
- Volume pressure approaching marker lines: potential trend change
- Color shifts from bright to muted: decreasing pressure
- Readings beyond overbought/oversold levels: potential reversal zones
3. Pressure Analysis
- Breaking above previous high boundary: accelerating buying pressure
- Breaking below previous low boundary: accelerating selling pressure
- Special coloring (magenta/cyan): boundary breaks indicating strength
- Extreme readings: potential climactic buying/selling
4. Market Structure Assessment
- Consecutive higher peaks: strengthening buying structure
- Consecutive lower troughs: strengthening selling structure
- Peak comparisons: relative strength of pressure phases
- Boundary line steps: market structure levels
Optimization Guide
1. Volume Analysis Settings
- Volume MA Length: Default 25 provides balanced signals
- Lower values (10-15): More responsive, potentially noisier
- Higher values (30-50): Smoother, fewer false signals
- Signal Smoothing Length: Default 8 provides good balance
- Lower values: More responsive to pressure changes
- Higher values: Smoother trend identification
2. Threshold Settings
- Extreme Threshold Multiplier: Default 20.0
- Lower values: More signals, potentially more noise
- Higher values: Fewer signals, but more significant
- Overbought/Oversold Levels: Defaults at 20/-20
- Adjust based on instrument volatility
- Wider settings for more volatile instruments
3. Visual Customization
- Marker Line Colors: Adjust for visibility on your chart
- Peak Marker Color: Default yellow provides good contrast
- Enable/disable background highlights based on preference
- Consider log scale for instruments with wide volume ranges
4. Alert Settings
- Configure alerts for high buying pressure
- Configure alerts for high selling pressure
- Set additional alerts for zero-line crosses
- Consider timeframe when setting alert sensitivity
Best Practices
1. Signal Confirmation
- Wait for zero-line crosses to confirm pressure changes
- Look for peak formations to identify potential reversals
- Check for boundary breaks to confirm strong pressure
- Use with price action for entry/exit precision
- Consider extreme threshold crossings as significant signals
2. Timeframe Selection
- Lower timeframes: more signals, potential noise
- Higher timeframes: cleaner signals, less frequent
- Multiple timeframes: confirm signals across time horizons
- Match to your trading style and holding period
3. Market Context
- Strong buying phase: positive columns breaking above marker line
- Strong selling phase: negative columns breaking below marker line
- Columns approaching zero: potential pressure shift
- Columns beyond overbought/oversold: extreme conditions, potential reversal
4. Combining with Other Indicators
- Use with trend indicators for confirmation
- Pair with price action oscillators for divergence detection
- Combine with traditional volume indicators for validation
- Consider support/resistance levels with boundary lines
Advanced Trading Strategies
1. Boundary Break Strategy
- Enter long when volume pressure breaks above previous high marker line
- Enter short when volume pressure breaks below previous low marker line
- Use zero-line as initial stop-loss reference
- Take profits at formation of opposing peaks
2. Peak Trading Strategy
- Identify significant peaks with triangular markers
- Look for consecutive lower peaks in buying phases for shorting opportunities
- Look for consecutive higher troughs in selling phases for buying opportunities
- Use zero-line crosses as confirmation
3. Extreme Reading Strategy
- Look for volume pressure beyond overbought/oversold levels
- Watch for color changes and peak formations
- Enter counter-trend positions after confirmed peaks
- Use tight stops due to extreme market conditions
4. Volume Color Strategy
- Enter long when columns turn bright green (increasing buying pressure)
- Enter short when columns turn bright red (increasing selling pressure)
- Exit when color intensity fades (decreasing pressure)
- Use marker lines as dynamic support/resistance
Practical Analysis Examples
Bullish Market Scenario
- Volume pressure crosses above zero line
- Green columns grow in height and intensity
- High marker line forms steps upward
- Peak triangles appear at local maxima
- Background highlights appear at significant buying pressure peaks
Bearish Market Scenario
- Volume pressure crosses below zero line
- Red columns grow in depth and intensity
- Low marker line forms steps downward
- Peak triangles appear at local minima
- Background highlights appear at significant selling pressure troughs
Consolidation Scenario
- Volume pressure oscillates around zero line
- Column colors alternate frequently
- Marker lines remain relatively flat
- Few or no new peak highlights appear
- Pressure values remain small
Understanding Market Dynamics Through Market Push Meter
At its core, this indicator provides a unique lens to visualize market pressure through volume analysis:
1. Volume Imbalance: By separating and comparing buying volume (up candles) from selling volume (down candles), the indicator provides insights into which side is exerting more pressure in the market.
2. Normalized Pressure: The indicator normalizes volume pressure as a percentage of total volume, making it more comparable across different market conditions and instruments.
3. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of pressure in both directions, helping to identify when markets are making new pressure extremes.
4. Exhaustion Signals: The peak detection system highlights moments where pressure has reached a local maximum or minimum, often precursors to reversals or consolidations.
Remember:
- Combine signals from volume pressure, marker lines, and peak formations
- Use appropriate timeframe settings for your trading style
- Customize the indicator to match your visual preferences and market
- Consider overall market conditions and correlate with price action
This indicator works best when:
- Used as part of a comprehensive trading system
- Combined with proper risk management
- Applied with an understanding of current market conditions
- Signals are confirmed by price action and other indicators
DISCLAIMER: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
RSI + MFI Momentum Mapper - CoffeeKillerRSI + MFI Momentum Mapper - CoffeeKiller Indicator Guide
Welcome traders! This guide will walk you through the RSI + MFI Momentum Mapper indicator, an innovative market analysis tool developed by CoffeeKiller that combines two powerful oscillators to create a comprehensive momentum visualization system.
🔔 **Warning: This Is Not a Standard RSI or MFI Indicator** 🔔 This indicator combines and normalizes RSI and MFI data to create a unified momentum representation with boundary detection and peak signaling features.
Core Concept: Combined Momentum Analysis
The foundation of this indicator lies in merging the strengths of two complementary oscillators - Relative Strength Index (RSI) and Money Flow Index (MFI) - to provide a more robust momentum signal that accounts for both price action and volume.
Directional Columns: Momentum Strength
- Positive Green Columns: Bullish momentum
- Negative Red Columns: Bearish momentum
- Color intensity varies based on momentum strength
- Special coloring for new high/low boundaries
Marker Lines: Dynamic Support/Resistance
- High Marker Line (Magenta): Tracks the highest point reached during a bullish phase
- Low Marker Line (Cyan): Tracks the lowest point reached during a bearish phase
- Creates visual boundaries showing momentum extremes
Peak Detection System:
- Triangular markers identify significant local maxima and minima
- Background highlighting shows important momentum peaks
- Helps identify potential reversal points and momentum exhaustion
Reference Lines:
- Zero Line (Gray): Divides bullish from bearish momentum
- High Line (+1): Upper threshold for extremely bullish conditions
- Low Line (-1): Lower threshold for extremely bearish conditions
Core Components
1. Oscillator Normalization
- RSI and MFI values centered around zero
- Values scaled to create consistent visualization
- Normalized range typically between -1 and +1
- Combination of indicators for signal reliability
2. Boundary Tracking System
- Automatic detection of highest values in bullish phases
- Automatic detection of lowest values in bearish phases
- Step-line visualization of boundaries
- Color-coded for easy identification
3. Peak Detection System
- Identification of local maxima and minima
- Background highlighting of significant peaks
- Triangle markers for peak visualization
- Zero-line cross detection for trend changes
4. Signal Smoothing
- Signal line calculation via SMA
- Helps filter noise and identify trends
- Provides confirmation of momentum direction
Main Features
Oscillator Settings
- Customizable RSI length for sensitivity control
- Customizable MFI length for sensitivity control
- Normalized display for consistent visualization
- Signal smoothing for clearer readings
Visual Elements
- Color-coded columns showing momentum direction and strength
- Dynamic marker lines for momentum boundaries
- Peak triangles for significant turning points
- Background highlighting for peak identification
- Reference lines for momentum threshold levels
Signal Generation
- Zero-line crosses for trend change signals
- Boundary breaks for momentum strength
- Peak formation for potential reversals
- Color changes for momentum direction and acceleration
Customization Options
- RSI and MFI length parameters
- Marker line visibility and colors
- Peak marker color selection
- Peak background display options
Trading Applications
1. Trend Identification
- Directional line crossing above zero: bullish trend beginning
- Directional line crossing below zero: bearish trend beginning
- Column color: indicates momentum direction
- Column height: indicates momentum strength
2. Reversal Detection
- Peak triangles after extended trend: potential exhaustion
- Background highlighting: significant reversal points
- Directional line approaching marker lines: potential trend change
- Color shifts from bright to muted: decreasing momentum
3. Momentum Analysis
- Breaking above previous high boundary: accelerating bullish momentum
- Breaking below previous low boundary: accelerating bearish momentum
- Special coloring (magenta/cyan): boundary breaks indicating strength
- Approaching +1/-1 lines: extreme momentum conditions
4. Market Structure Assessment
- Consecutive higher peaks: strengthening bullish structure
- Consecutive lower troughs: strengthening bearish structure
- Peak comparisons: relative strength of momentum phases
- Boundary line steps: market structure levels
Optimization Guide
1. Oscillator Settings
- RSI Length: Default 14 provides balanced signals
- Lower values (7-10): More responsive, potentially noisier
- Higher values (20-30): Smoother, fewer false signals
- MFI Length: Default 14 provides balanced signals
- Lower values: More responsive to volume changes
- Higher values: Less sensitive to short-term volume spikes
2. Visual Customization
- Marker Line Colors: Adjust for visibility on your chart
- Peak Marker Color: Default yellow provides good contrast
- Enable/disable background highlights based on preference
- Consider chart background when selecting colors
3. Signal Interpretation
- Stronger signals: When directional line approaches +1/-1
- Confirmation: When peaks form after extended momentum
- Early warnings: When color intensity changes before direction
- Trend strength: Distance between zero line and current reading
4. Reference Line Usage
- Zero line: Primary trend divider
- +1/-1 lines: Extreme momentum thresholds
- Marker lines: Dynamic support/resistance levels
- Distance from reference: Momentum strength measure
Best Practices
1. Signal Confirmation
- Wait for zero-line crosses to confirm trend changes
- Look for peak formations to identify potential reversals
- Check for boundary breaks to confirm strong momentum
- Use with price action for entry/exit precision
2. Timeframe Selection
- Lower timeframes: more signals, potential noise
- Higher timeframes: cleaner signals, less frequent
- Multiple timeframes: confirm signals across time horizons
- Match to your trading style and holding period
3. Market Context
- Strong bullish phase: positive columns breaking above marker line
- Strong bearish phase: negative columns breaking below marker line
- Columns approaching zero: potential trend change
- Columns approaching +1/-1: extreme conditions, potential reversal
4. Combining with Other Indicators
- Use with trend indicators for confirmation
- Pair with other oscillators for divergence detection
- Combine with volume analysis for validation
- Consider support/resistance levels with boundary lines
Advanced Trading Strategies
1. Boundary Break Strategy
- Enter long when directional line breaks above previous high marker line
- Enter short when directional line breaks below previous low marker line
- Use zero-line as initial stop-loss reference
- Take profits at formation of opposing peaks
2. Peak Trading Strategy
- Identify significant peaks with triangular markers
- Look for consecutive lower peaks in bullish phases for shorting opportunities
- Look for consecutive higher troughs in bearish phases for buying opportunities
- Use zero-line crosses as confirmation
3. Extreme Reading Strategy
- Look for directional line approaching +1/-1 lines
- Watch for color changes and peak formations
- Enter counter-trend positions after confirmed peaks
- Use tight stops due to extreme momentum conditions
4. Column Color Strategy
- Enter long when columns turn bright green (increasing momentum)
- Enter short when columns turn bright red (increasing momentum)
- Exit when color intensity fades (decreasing momentum)
- Use marker lines as dynamic support/resistance
Practical Analysis Examples
Bullish Market Scenario
- Directional line crosses above zero line
- Green columns grow in height and intensity
- High marker line forms steps upward
- Peak triangles appear at local maxima
- Background highlights appear at significant momentum peaks
Bearish Market Scenario
- Directional line crosses below zero line
- Red columns grow in depth and intensity
- Low marker line forms steps downward
- Peak triangles appear at local minima
- Background highlights appear at significant momentum troughs
Consolidation Scenario
- Directional line oscillates around zero line
- Column colors alternate frequently
- Marker lines remain relatively flat
- Few or no new peak highlights appear
- Directional values remain small
Understanding Market Dynamics Through RSI + MFI Momentum Mapper
At its core, this indicator provides a unique lens to visualize market momentum by combining two complementary oscillators:
1. Combined Strength: By averaging RSI (price-based) and MFI (volume-based), the indicator provides a more comprehensive view of market momentum that considers both price action and buying/selling pressure.
2. Normalized Scale: The indicator normalizes values around zero, making it easier to identify bullish vs bearish conditions and the relative strength of momentum in either direction.
3. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of momentum in both directions, helping to identify when markets are making new momentum extremes.
4. Exhaustion Signals: The peak detection system highlights moments where momentum has reached a local maximum or minimum, often precursors to reversals or consolidations.
Remember:
- Combine signals from directional line, marker lines, and peak formations
- Use appropriate timeframe settings for your trading style
- Customize the indicator to match your visual preferences
- Consider market conditions and correlate with price action
This indicator works best when:
- Used as part of a comprehensive trading system
- Combined with proper risk management
- Applied with an understanding of current market conditions
- Signals are confirmed by price action and other indicators
DISCLAIMER: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
Original Gann Swing Chart Rules [AlgoFuego]🔵 Original Gann Swing Chart Rules
An advanced indicator built on W.D. Gann’s original rules, enhanced with innovative mechanical trend-following methods.
🔹 Description
This indicator functions by balancing short-term adaptability with long-term trend analysis.
The indicator incorporates Gann’s principles alongside mechanical trend-following techniques to offer a structured method for analyzing trends and detecting potential market reversals.
Golden Rule: Non-trend bars are excluded from analysis, and each new bar is compared with the previous trend bar, it highlights significant swing points with greater clarity.
🔸 The core concept behind the golden rule on which this indicator is built.
The person watching the tide coming, wanting to pinpoint the exact spot that signals the high tide, places a stick in the sand at the points where the incoming waves reach until the stick reaches a position where the waves no longer rise, and eventually recedes enough to show that the tide has shifted.
This method is effective for monitoring and identifying tides and floods in the stock market.
🔸Rule 1: The trend bar is everything.
→It is a bar that forms a new high, low, or both.
🔸Rule 2: The professional traders track new highs and lows.
🔸Rule 3: The hidden bar is nothing.
→It is a bar that does not form a new high, low, or both.
🔸Rule 4: The sea has a wavy nature, and the market as well.
🔸Rule 5: The slope is the immediate direction of the swing.
Downward slope
→The downslope is the descending slope of a swing, shows a decline, reflecting a bearish price trend.
Upward slope
→The upslope is the ascending slope of a swing, shows an incline, reflecting a bullish price trend.
🔸Rule 6: The start and end of the movement are the swing points.
→The lowest or highest price of the last bar in the direction of the slope represents the swing point after the slopes direction changes.
Valley
→It is the lowest price of the last bar in a downslope before the market turns to a upslope.
End=> Downward slope and Start=> Upward slope
Peak
→It is the highest price of the last bar in a upslope before the market turns to an downslope.
End=> Upward slope and Start=> Downward slope
🔸Rule 7: The Golden Rule: Ignore all no-trend bars and compare the new bar with the previous trend bar.
→Applying the golden rule in upward slope
→Applying the golden rule in downward slope
🔸 Related content: Personal words of W.D Gann from the book Wall Street Stock Selector.
→"This was only one month's reaction the same as March 1925. The market held in a dull narrow range for about 2 months while accumulation was taking place and in June the main trend turned up again."
→The beginning of the main trend and the formation of the Valley.
→The beginning of the main trend and the formation of the Peak.
🔸 Rule 8: The Closing Price of the Bar to Understand Movement Direction.
Sequence is important
→ Downward bar
→ Upward bar
🔸 Outside Bar Rules
→Explanation of rules and calculations.
🔸 How does a trend start?
Upward trend
Trend change from Downward to Upward.
Prices must take out the nearest 'Peak' and the Trend was previously Downward.
A breakout above the previous peak signals a bullish reversal.
→ Model 1 - Dropping Valley Reversal
The market forms a dropping valley, followed by a breakout above the previous peak.
→ Model 2 - Equal Valley Reversal
The market forms an equal valley, followed by a breakout above the previous peak.
→ Model 3 - Rising Valley Reversal
The market forms a rising valley, followed by a breakout above the previous peak.
Downward trend
Trend change from Upward to Downward.
Prices must take out the nearest ‘Valley' and the Trend was previously Upward.
A breakdown below the previous valley signals a bearish reversal.
→ Model 1 - Rising Peak Reversal
The market forms a rising peak, followed by a breakdown below the previous valley.
→ Model 2 - Equal Peak Reversal
The market forms an equal peak, followed by a breakdown below the previous valley.
→ Model 3 - Dropping Peak Reversal
The market forms a dropping peak, followed by a breakdown below the previous valley.
🔸 The fractal nature of markets
Rising wave
→ The rising wave is the entire bull market between turning points
High point : When the Main trend turns from upward to downward, the peak of the primary trend is formed.
Dropping wave
→ The Dropping wave is the entire bear market between turning points.
Low point : When the Main trend turns from downward to upward, the primary trend valley is formed.
Fractal nature application.
Everything in one picture.
🔹 Features
Strict adherence to the rules: Follows the Original Gann Swing Chart Rules to detect swing points.
Fractal analysis: Uses trend bars and fractal analysis to identify swing points.
Robust functionality: Engineered to handle complex market conditions with advanced logic.
Custom alerts: Alerts for peak/valley completion, main and primary trend reversals & continuations.
Golden rule application: Filters out non-trend bars by comparing only with the last trend bar.
Reversal & trend detection: Applies eight outside bar rules to detect trend reversals and continuations.
Dynamic customization: Fully customizable settings.
🔹 Settings overview
Fine-tune the indicator to match your unique trading strategy by adjusting trend settings, customizing alerts, and modifying visualization options.
1. Main trend settings
Hide/Show Main trend options: Instantly hide all main trend options (alerts remain separate).
Main trendline display & alerts: Toggle trendline visibility and set alerts for peaks and valleys.
Trendline customization: Adjust styles, colors, and slopes for upward/downward trends.
Peaks & Valleys markers: Show/hide points and customize their color and size.
Opposite Main trend turning points: Enable alerts and modify style, width, color, and offset.
Breakout/Breakdown points: Set alerts and customize their appearance.
2. Primary trend settings
Hide/Show primary trend options: Instantly hide all primary trend options (alerts remain separate).
Primary trendline display & alerts: Toggle trendline visibility and set alerts for peaks and valleys.
Trendline customization: Adjust styles, colors, and slopes for upward/downward trends.
Peaks & Valleys markers: Show/hide points and customize their color and size.
Opposite primary trend turning points: Enable alerts and modify style, width, color, and offset.
Breakout/Breakdown points: Set alerts and customize their appearance.
3. Additional options
Tooltips display: Control tooltip visibility for labels and languages.
Candle/Bar coloring: Customize candle and bar colors based on algorithm-selected trends.
🔸 Additional features
🔹Custom reading of bars.
The arrow represents the direction of the slope, the dot is the type of trend, and the line is the closing price.
🔹 Advanced Moving Average Activator
The Advanced Moving Average Activator, this setting calculates the average closing prices of trend bars only, which are the only bars considered by Gann.
The advantage of this method is that it helps avoid hidden bars that are not accounted for, making the difference more evident in a ranging market. The values are updated only when new highs or lows occur.
Additionally, you can set alerts when the price closes above or below the moving average.
🔹 Bar Counter
After a trend change, you can see exactly when the shift occurred and customize the type of trend you want to track.
For example, by conducting your own research on the assets you trade, based on historical data, you might discover valuable insights, such as the primary trend possibly lasting longer than 20 bars!
You can use these insights to refine your trading strategy and make more data-driven decisions.
🔹 How to use
Step 1: Configure the settings and choose your trading approach
Adjust the indicator settings to match your trading style and market conditions.
Effectively using the indicator starts with selecting your preferred trading style.
You can trade in alignment with the primary trend, capitalize on market reversals, or take advantage of breakouts.
Trading with the primary trend: Best for traders who prefer longer-term positions with higher stability.
Trading reversals: Ideal for those looking to enter at potential turning points but requires additional confirmation.
Trading breakouts: Suitable for traders targeting strong price movements after key level breakouts.
Adapting to market volatility: Monitor changing volatility and adjust your strategy accordingly for optimal results.
Step 2: Analyze the chart
Apply the indicator to your TradingView chart and interpret swing signals for informed decisions.
Carefully study the chart patterns to detect subtle signals.
Check if similar signals worked well in past market conditions.
Use multi-timeframe analysis for a broader perspective.
Step 3: Trade with the primary trend
Utilize trend direction to align trades with prevailing market movements.
Always trade in the direction of the primary trend.
Confirm the trend direction using multiple indicators or by relying on the primary trend as confirmation!.
Avoid trading against strong market momentum.
Step 4: Identify entry signals
Use indicator signals to identify ideal trade entry points.
Look for confirmation before entering a trade.
Wait for clear signals to avoid false entries.
Practice on a demo account to build confidence in your entry strategy.
Step 5: Apply risk management
Define stop-loss and take-profit levels to protect your capital effectively.
Set stop-loss orders at strategic levels to limit potential losses.
Risk only a small percentage of your capital per trade.
Adjust risk levels based on your overall portfolio performance.
Step 6: Confirm with trend analysis
Validate trends using additional indicators for a higher probability of success.
Use complementary tools to confirm trend direction.
Monitor trend changes to adjust your strategy promptly.
Keep an eye on volume indicators for added confirmation.
Step 7: Execute the trade
Enter trades based on confirmed signals and predefined strategy rules.
Ensure all your criteria are met before executing a trade.
Stay disciplined and stick to your strategy.
Review market conditions right before execution.
Step 8: Monitor the trade
Track trade performance and make adjustments as necessary.
Keep an eye on market conditions throughout the trade.
Be ready to adjust your strategy if unexpected events occur.
Use trailing stops to secure profits while allowing for gains.
Step 9: Implement exit strategy
Close trades strategically based on your pre-established exit plan.
Plan your exit strategy in advance and adhere to it.
Consider partial exits to secure profits along the way.
Avoid emotional decisions when closing trades.
Step 10: Review performance
Analyze past trades to continuously refine and improve your strategy.
Regularly review and document your trades for insights.
Identify patterns in both your successes and mistakes.
Update your strategy based on comprehensive performance reviews.
🔹 Disclosure
While this script is useful and provides insight into market tops, bottoms, and trend trading, it's critical to understand that past performance is not necessarily indicative of future results and there are many more factors that go into being a profitable trader.
Hourly Volatility Explorer📊 Hourly Volatility Explorer: Master The Market's Pulse
Unlock the hidden rhythms of price action with this sophisticated volatility analysis tool. The Hourly Volatility Explorer reveals the most potent trading hours across multiple time zones, giving you a strategic edge in timing your trades.
🌟 Key Features:
⏰ Multi-Timezone Analysis
• GMT (UTC+0)
• EST (UTC-5) - New York
• BST (UTC+1) - London
• JST (UTC+9) - Tokyo
• AEST (UTC+10) - Sydney
Perfect for tracking major market sessions and their overlaps!
📈 Dynamic Visualization
• Color-gradient hourly bars for instant pattern recognition
• Real-time volatility comparison
• Interactive data table with comprehensive statistics
• Automatic highlighting of peak volatility periods
🎯 Strategic Applications:
Day Trading:
• Identify optimal trading windows
• Avoid low-liquidity periods
• Capitalize on session overlaps
• Fine-tune entry/exit timing
Risk Management:
• Set appropriate stop losses based on hourly volatility
• Adjust position sizes for different market hours
• Optimize risk-reward ratios
• Plan around high-impact hours
Global Market Analysis:
• Track volatility across all major sessions
• Spot institutional trading patterns
• Identify quiet vs. active periods
• Monitor 24/7 market dynamics
💡 Perfect For:
• Forex traders navigating global sessions
• Crypto traders in 24/7 markets
• Day traders optimizing execution times
• Algorithmic traders fine-tuning strategies
• Risk managers calibrating exposure
📊 Advanced Features:
• Rolling 3-month analysis for reliable patterns
• Precise pip movement calculations
• Sample size tracking for statistical validity
• Real-time current hour comparison
• Color-coded visual system for instant insights
⚡ Pro Trading Tips:
• Use during major session overlaps for maximum opportunity
• Compare patterns across different instruments
• Combine with volume analysis for deeper insights
• Track seasonal variations in hourly patterns
• Build trading schedules around peak hours
🎓 Educational Value:
• Understand market microstructure
• Learn global market dynamics
• Master timezone relationships
• Develop timing intuition
🛠️ Customization:
• Adjustable lookback period
• Flexible pip multiplier
• Multiple timezone options
• Visual preference settings
Whether you're scalping the 1-minute chart or managing longer-term positions, the Hourly Volatility Explorer provides the precise timing intelligence needed for today's global markets.
Transform your trading schedule from guesswork to science. Know exactly when markets move, why they move, and how to position yourself for maximum opportunity.
#TechnicalAnalysis #Trading #Volatility #MarketTiming #DayTrading #Forex #Crypto #TradingView #PineScript #MarketAnalysis #TradingStrategy #RiskManagement #GlobalMarkets #FinancialMarkets #TradingTools #MarketStructure #PriceAction #Scalping #SwingTrading #AlgoTrading
Gradient Trend Filter STRATEGY [ChartPrime/PineIndicators]This strategy is based on the Gradient Trend Filter indicator developed by ChartPrime. Full credit for the concept and indicator goes to ChartPrime.
The Gradient Trend Filter Strategy is designed to execute trades based on the trend analysis and filtering system provided by the Gradient Trend Filter indicator. It integrates a noise-filtered trend detection system with a color-gradient visualization, helping traders identify trend strength, momentum shifts, and potential reversals.
How the Gradient Trend Filter Strategy Works
1. Noise Filtering for Smoother Trends
To reduce false signals caused by market noise, the strategy applies a three-stage smoothing function to the source price. This function ensures that trend shifts are detected more accurately, minimizing unnecessary trade entries and exits.
The filter is based on an Exponential Moving Average (EMA)-style smoothing technique.
It processes price data in three successive passes, refining the trend signal before generating trade entries.
This filtering technique helps eliminate minor fluctuations and highlights the true underlying trend.
2. Multi-Layered Trend Bands & Color-Based Trend Visualization
The Gradient Trend Filter constructs multiple trend bands around the filtered trend line, acting as dynamic support and resistance zones.
The mid-line changes color based on the trend direction:
Green for uptrends
Red for downtrends
A gradient cloud is formed around the trend line, dynamically shifting colors to provide early warning signals of trend reversals.
The outer bands function as potential support and resistance, helping traders determine stop-loss and take-profit zones.
Visualization elements used in this strategy:
Trend Filter Line → Changes color between green (bullish) and red (bearish).
Trend Cloud → Dynamically adjusts color based on trend strength.
Orange Markers → Appear when a trend shift is confirmed.
Trade Entry & Exit Conditions
This strategy automatically enters trades based on confirmed trend shifts detected by the Gradient Trend Filter.
1. Trade Entry Rules
Long Entry:
A bullish trend shift is detected (trend direction changes to green).
The filtered trend value crosses above zero, confirming upward momentum.
The strategy enters a long position.
Short Entry:
A bearish trend shift is detected (trend direction changes to red).
The filtered trend value crosses below zero, confirming downward momentum.
The strategy enters a short position.
2. Trade Exit Rules
Closing a Long Position:
If a bearish trend shift occurs, the strategy closes the long position.
Closing a Short Position:
If a bullish trend shift occurs, the strategy closes the short position.
The trend shift markers (orange diamonds) act as a confirmation signal, reinforcing the validity of trade entries and exits.
Customization Options
This strategy allows traders to adjust key parameters for flexibility in different market conditions:
Trade Direction: Choose between Long Only, Short Only, or Long & Short .
Trend Length: Modify the length of the smoothing function to adapt to different timeframes.
Line Width & Colors: Customize the visual appearance of trend lines and cloud colors.
Performance Table: Enable or disable the equity performance table that tracks historical trade results.
Performance Tracking & Reporting
A built-in performance table is included to monitor monthly and yearly trading performance.
The table calculates monthly percentage returns, displaying them in a structured format.
Color-coded values highlight profitable months (blue) and losing months (red).
Tracks yearly cumulative performance to assess long-term strategy effectiveness.
Traders can use this feature to evaluate historical performance trends and optimize their strategy settings accordingly.
How to Use This Strategy
Identify Trend Strength & Reversals:
Use the trend line and cloud color changes to assess trend strength and detect potential reversals.
Monitor Momentum Shifts:
Pay attention to gradient cloud color shifts, as they often appear before the trend line changes color.
This can indicate early momentum weakening or strengthening.
Act on Trend Shift Markers:
Use orange diamonds as confirmation signals for trend shifts and trade entry/exit points.
Utilize Cloud Bands as Support/Resistance:
The outer bands of the cloud serve as dynamic support and resistance, helping with stop-loss and take-profit placement.
Considerations & Limitations
Trend Lag: Since the strategy applies a smoothing function, entries may be slightly delayed compared to raw price action.
Volatile Market Conditions: In high-volatility markets, trend shifts may occur more frequently, leading to higher trade frequency.
Optimized for Trend Trading: This strategy is best suited for trending markets and may produce false signals in sideways (ranging) conditions.
Conclusion
The Gradient Trend Filter Strategy is a trend-following system based on the Gradient Trend Filter indicator by ChartPrime. It integrates noise filtering, trend visualization, and gradient-based color shifts to help traders identify strong market trends and potential reversals.
By combining trend filtering with a multi-layered cloud system, the strategy provides clear trade signals while minimizing noise. Traders can use this strategy for long-term trend trading, momentum shifts, and support/resistance-based decision-making.
This strategy is a fully automated system that allows traders to execute long, short, or both directions, with customizable settings to adapt to different market conditions.
Credit for the original concept and indicator goes to ChartPrime.
Cluster Reversal Zones📌 Cluster Reversal Zones – Smart Market Turning Point Detector
📌 Category : Public (Restricted/Closed-Source) Indicator
📌 Designed for : Traders looking for high-accuracy reversal zones based on price clustering & liquidity shifts.
🔍 Overview
The Cluster Reversal Zones Indicator is an advanced market reversal detection tool that helps traders identify key turning points using a combination of price clustering, order flow analysis, and liquidity tracking. Instead of relying on static support and resistance levels, this tool dynamically adjusts to live market conditions, ensuring traders get the most accurate reversal signals possible.
📊 Core Features:
✅ Real-Time Reversal Zone Mapping – Detects high-probability market turning points using price clustering & order flow imbalance.
✅ Liquidity-Based Support/Resistance Detection – Identifies strong rejection zones based on real-time liquidity shifts.
✅ Order Flow Sensitivity for Smart Filtering – Filters out weak reversals by detecting real market participation behind price movements.
✅ Momentum Divergence for Confirmation – Aligns reversal zones with momentum divergences to increase accuracy.
✅ Adaptive Risk Management System – Adjusts risk parameters dynamically based on volatility and trend state.
🔒 Justification for Mashup
The Cluster Reversal Zones Indicator contains custom-built methodologies that extend beyond traditional support/resistance indicators:
✔ Smart Price Clustering Algorithm: Instead of plotting fixed support/resistance lines, this system analyzes historical price clustering to detect active reversal areas.
✔ Order Flow Delta & Liquidity Shift Sensitivity: The tool tracks real-time order flow data, identifying price zones with the highest accumulation or distribution levels.
✔ Momentum-Based Reversal Validation: Unlike traditional indicators, this tool requires a momentum shift confirmation before validating a potential reversal.
✔ Adaptive Reversal Filtering Mechanism: Uses a combination of historical confluence detection + live market validation to improve accuracy.
🛠️ How to Use:
• Works well for reversal traders, scalpers, and swing traders seeking precise turning points.
• Best combined with VWAP, Market Profile, and Delta Volume indicators for confirmation.
• Suitable for Forex, Indices, Commodities, Crypto, and Stock markets.
🚨 Important Note:
For educational & analytical purposes only.
True Liquidity BlocksSo basically I've been deep diving into liquidity trading concepts similar to ICT (Inner Circle Trader) and developed an indicator that breaks down market movement through a volume-centric lens.
Key Concept:
Markets move not just by price, but by resolving trapped positions
Volume segments, not time intervals, show true market dynamics
VWAP (Volume Weighted Average Price) becomes a key structural reference
What Makes This Different:
Tracks volume segments instead of fixed time frames
Identifies "trapped" trader positions
Measures liquidity level efficiency
Color-codes bars based on nearest liquidity zone
Indicator Features:
Cyan/Red liquidity levels showing buy/sell pressure
Efficiency tracking for each level
Dynamic volume-based segmentation
Bar coloring to show nearest liquidity zone
Theoretical Inspiration: Viewed markets as energy systems where:
Positions create potential energy
Price movement resolves this energy
Trends form through systematic position liquidation
VWAP Recalculation in Each Segment:
Segment Start:
VWAP resets when volume threshold User Inputtable (600,000) is reached
Uses the last 4 price values (High, Low, Close, Close) for calculation
Weighted by volume traded during that segment
Calculation Method:
pineCopy = ta.vwap(hlcc4, na(segment_start) ? true : na, 1)
hlcc4: Combines high, low, close prices
na(segment_start): Ensures reset at new segment
Weighted by volume, not equal time intervals
Key Points:
Dynamic recalculation each segment
Reflects most recent trading activity
Provides real-time fair price reference
Tracks positioning
Essentially, VWAP resets and recalculates with each new volume segment, creating a rolling, volume-weighted average price that maps trader positioning.
BSL (Buy Side Liquidity) and SSL (Sell Side Liquidity) Explained:
When a volume segment closes relative to VWAP, it creates natural positioning traps:
BSL (Cyan) - Created when price closes BELOW THAT SEGMENT'S VWAP:
Bulls are positioned BELOW VWAP (trapped)
Shorts are positioned ABOVE VWAP (In Profit)
SSL (Red) - Created when price closes ABOVE THAT SEGMENT"S VWAP:
Bulls are positioned ABOVE VWAP (trapped)
Shorts are positioned BELOW VWAP (trapped)
Core Mechanism:
VWAP acts as a reference point for trader positioning
Trapped positions create inherent market tension
Levels expand to show accumulating pressure
Color-coded for quick identification of potential move direction
The goal: Visualize where traders are likely "stuck" and must eventually resolve their positions or liquidate other's, driving market movement.
It was just a fun experiment but If ya'll have any thoughts on it or what I could do to improve it, I would appreciate it.
Just a little note, It's optimized for futures, but if u uncheck the "Rest at Futures Open ?" setting, it allow full reign of any asset with volume data.
EMA Study Script for Price Action Traders, v2JR_EMA Research Tool Documentation
Version 2 Enhancements
Version 2 of the JR_EMA Research Tool introduces several powerful features that make it particularly valuable for studying price action around Exponential Moving Averages (EMAs). The key improvements focus on tracking and analyzing price-EMA interactions:
1. Cross Detection and Counting
- Implements flags for crossing bars that instantly identify when price crosses above or below the EMA
- Maintains running counts of closes above and below the EMA
- This feature helps students understand the persistence of trends and the frequency of EMA interactions
2. Bar Number Tracking
- Records the specific bar number when EMA crosses occur
- Stores the previous crossing bar number for reference
- Enables precise measurement of time between crosses, helping identify typical trend durations
3. Variable Reset Management
- Implements sophisticated reset logic for all counting variables
- Ensures accuracy when analyzing multiple trading sessions
- Critical for maintaining clean data when studying patterns across different timeframes
4. Cross Direction Tracking
- Monitors the direction of the last EMA cross
- Helps students identify the current trend context
- Essential for understanding trend continuation vs reversal scenarios
Educational Applications
Price-EMA Relationship Studies
The tool provides multiple ways to study how price interacts with EMAs:
1. Visual Analysis
- Customizable EMA bands show typical price deviation ranges
- Color-coded fills help identify "normal" vs "extreme" price movements
- Three different band calculation methods offer varying perspectives on price volatility
2. Quantitative Analysis
- Real-time tracking of closes above/below EMA
- Running totals help identify persistent trends
- Cross counting helps understand typical trend duration
Research Configurations
EMA Configuration
- Adjustable EMA period for studying different trend timeframes
- Customizable EMA color for visual clarity
- Ideal for comparing different EMA periods' effectiveness
Bands Configuration
Three distinct calculation methods:
1. Full Average Bar Range (ABR)
- Uses the entire range of price movement
- Best for studying overall volatility
2. Body Average Bar Range
- Focuses on the body of the candle
- Excellent for studying conviction in price moves
3. Standard Deviation
- Traditional statistical approach
- Useful for comparing to other technical studies
Signal Configuration
- Optional signal plotting for entry/exit studies
- Helps identify potential trading opportunities
- Useful for backtesting strategy ideas
Using the Tool for Study
Basic Analysis Steps
1. Start with the default 20-period EMA
2. Observe how price interacts with the EMA line
3. Monitor the data window for quantitative insights
4. Use band settings to understand normal price behavior
Advanced Analysis
1. Pattern Recognition
- Use the cross counting system to identify typical pattern lengths
- Study the relationship between cross frequency and trend strength
- Compare different timeframes for fractal analysis
2. Volatility Studies
- Compare different band calculation methods
- Identify market regimes through band width changes
- Study the relationship between volatility and trend persistence
3. Trend Analysis
- Use the closing price count system to measure trend strength
- Study the relationship between trend duration and subsequent reversals
- Compare different EMA periods for optimal trend following
Best Practices for Research
1. Systematic Approach
- Start with longer timeframes and work down
- Document observations about price behavior in different market conditions
- Compare results across multiple symbols and timeframes
2. Data Collection
- Use the data window to record significant events
- Track the number of bars between crosses
- Note market conditions when signals appear
3. Optimization Studies
- Test different EMA periods for your market
- Compare band calculation methods for your trading style
- Document which settings work best in different market conditions
Technical Implementation Notes
This tool is particularly valuable for educational purposes because it combines visual and quantitative analysis in a single interface, allowing students to develop both intuitive and analytical understanding of price-EMA relationships.
On-Chain Analysis [LuxAlgo]The On-Chain Analysis tool offers a comprehensive overview of essential on-chain metrics, enabling traders and investors to grasp the underlying activity and sentiment within the cryptocurrency market. By integrating metrics like wallet profitability, exchange flows, on-chain volume, social sentiment, and more into your charts, users can gain valuable insights into cryptocurrency network behavior, spot emerging trends, and better manage risk in the cryptocurrency market.
🔶 USAGE
🔹 On-Chain Analysis
When analyzing cryptocurrencies, several fundamental metrics are crucial for assessing the value and potential of a digital asset. This indicator is designed to help traders and analysts evaluate the markets by utilizing various data gathered directly from the blockchain. The gathered on-chain data includes wallet profitability, exchange flows, miner flows, on-chain volume, large buyers/sellers, market capitalization, market dominance, active addresses, total value locked (TVL), market value to realized value (MVRV), developer activity, social sentiment, holder behavior, and balance types.
Use wallet profitability and social sentiment metrics to gauge the overall mood of the market, helping to anticipate potential buying or selling pressure.
On-chain volume and active addresses provide insights into how actively a cryptocurrency is being used, indicating network health and adoption levels.
By tracking exchange flows and holder balance types, you can identify significant moves by whales or institutions, which may signal upcoming price shifts.
Market capitalization and miner flows give you an understanding of the supply side of the market, aiding in evaluating whether an asset is overvalued or undervalued.
The distribution of holdings among retail investors, whales, and institutional groups can greatly influence market dynamics. A large concentration of holdings by whales may indicate the potential for significant price swings, given their capacity to execute substantial trades. A higher proportion of institutional investors often suggests confidence in the asset's long-term potential, as these entities typically conduct thorough research before investing. While retail participation indicates broader adoption, it also introduces higher volatility, as these investors tend to be more reactive to market fluctuations.
Understanding the balance and behavior of short-term traders, mid-term cruisers, and long-term hodlers helps traders and analysts predict market trends and assess the underlying confidence in a particular cryptocurrency.
🔶 DETAILS
This script includes some of the most significant and insightful metrics in the crypto space, designed to evaluate and enhance trading decisions by assessing the value and growth potential of cryptocurrencies. The introduced metrics are:
🔹 Wallet Profitability
Definition: Represents the percentage distribution of addresses by profitability at the current price.
Importance: Indicates potential selling pressure or reduced selling pressure based on whether addresses are in profit or loss.
🔹 Exchange Flow
Definition: The total amount of a cryptocurrency moving in and out of exchanges.
Importance: Large inflows to exchanges can indicate potential selling pressure, while large outflows might suggest accumulation or long-term holding.
🔹 Miner Flow
Definition: Tracks the inflow and outflow of funds by miners.
Importance: High inflows could indicate selling pressure, whereas low inflows or outflows might reflect miner confidence.
🔹 On-Chain Volume
Definition: The total value of transactions conducted on a blockchain within a specific period.
Importance: On-chain volume reflects actual usage of the network, indicating how actively a cryptocurrency is being utilized for transactions.
🔹 Large Buyers/Sellers
Definition: Tracks the number of large buyers (bulls) and sellers (bears) based on transaction volume.
Importance: Comparing the number of large buyers (bulls) to large sellers (bears) helps gauge market trends and sentiment.
🔹 Market Capitalization
Definition: The total value of a cryptocurrency's circulating supply, calculated by multiplying the current price by the total supply.
Importance: Market cap is a key indicator of a cryptocurrency’s size and market dominance. It helps compare the relative size of different cryptocurrencies.
🔹 Market Dominance
Definition: Market dominance represents a cryptocurrency’s share of the total market capitalization of all cryptocurrencies. It is calculated by dividing the market cap of the cryptocurrency by the total market cap of the cryptocurrency market.
Importance: Market dominance is a crucial indicator of a cryptocurrency's influence and relative position in the market. It helps assess the strength of a cryptocurrency compared to others and provides insights into its market presence and potential influence.
Special Consideration: Since BTC and ETH dominance is relatively high compared to other cryptocurrencies, specific adjustments are made during the presentation of values and charts. When analyzing BTC, the total market capitalization is used. For ETH analysis, BTC is excluded from the total market cap. For any other cryptocurrency besides BTC and ETH, both BTC and ETH are excluded from the total market cap to provide a more accurate view.
🔹 Active Addresses
Definition: The number of unique addresses involved in transactions within a specific period.
Importance: A higher number of active addresses suggests greater network activity and user adoption, which can be a sign of a healthy ecosystem.
🔹 Total Value Locked (TVL)
Definition: The total value of assets locked in a decentralized finance (DeFi) protocol.
Importance: TVL is a key metric for DeFi platforms, indicating the level of trust and the amount of liquidity in a protocol.
🔹 Market Value to Realized Value (MVRV)
Definition: A ratio comparing the market cap to realized cap.
Importance: A high ratio may indicate overvaluation (potential selling), while a low ratio could signal undervaluation (potential buying).
🔹 Developer Activity
Definition: The level of activity on a cryptocurrency’s public repositories (e.g., GitHub).
Importance: Strong developer activity is a sign of ongoing innovation, updates, and a healthy project.
🔹 Social Sentiment
Definition: The general sentiment or mood of the community and investors as expressed on social media and forums.
Importance: Positive sentiment often correlates with price increases, while negative sentiment can signal potential downtrends.
🔹 Holder Balance (Behavior)
Definition: Distribution of addresses by holding behavior: Traders (short-term), Cruisers (mid-term), and Hodlers (long-term).
Importance: Helps predict market behavior based on different holder types.
🔹 Holder Balance (Type)
Definition: Distribution of cryptocurrency holdings among Retail (small holders), Whales (large holders), and Investors (institutional players).
Importance: Assesses the potential impact of different user groups on the market. A more decentralized distribution is generally viewed as positive, reducing the risk of price manipulation by large holders.
These metrics provide a comprehensive view of a cryptocurrency’s health, adoption, and potential for growth, making them essential for fundamental analysis in the crypto space.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 On-Chain Analysis
On-Chain Data: Choose the specific on-chain metric from the drop-down menu. Options include Wallet Profitability, Exchange Flow, Miner Flow, On-Chain Volume, Large Buyers/Sellers (Volume), Market Capitalization, Market Dominance, Active Addresses, Total Value Locked, Market Value to Realized Value, Developer Activity, Social Sentiment, Holder Balance (Behavior), and Holder Balance (Type).
Smoothing: Set the smoothing level to refine the displayed data. This can help in filtering out noise and getting a clearer view of trends.
Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) and the length of the moving average for signal line calculation.
🔹 On-Chain Dashboard
On-Chain Stats: Toggle the display of the on-chain statistics.
Dashboard Size, Position, and Colors: Customize the size, position, and colors of the on-chain dashboard on the chart.
🔶 LIMITATIONS
Availability of on-chain data may vary and may not be accessible for all crypto assets.
🔶 RELATED SCRIPTS
Market-Sentiment-Technicals
Volatility IndicatorThe volatility indicator presented here is based on multiple volatility indices that reflect the market’s expectation of future price fluctuations across different asset classes, including equities, commodities, and currencies. These indices serve as valuable tools for traders and analysts seeking to anticipate potential market movements, as volatility is a key factor influencing asset prices and market dynamics (Bollerslev, 1986).
Volatility, defined as the magnitude of price changes, is often regarded as a measure of market uncertainty or risk. Financial markets exhibit periods of heightened volatility that may precede significant price movements, whether upward or downward (Christoffersen, 1998). The indicator presented in this script tracks several key volatility indices, including the VIX (S&P 500), GVZ (Gold), OVX (Crude Oil), and others, to help identify periods of increased uncertainty that could signal potential market turning points.
Volatility Indices and Their Relevance
Volatility indices like the VIX are considered “fear gauges” as they reflect the market’s expectation of future volatility derived from the pricing of options. A rising VIX typically signals increasing investor uncertainty and fear, which often precedes market corrections or significant price movements. In contrast, a falling VIX may suggest complacency or confidence in continued market stability (Whaley, 2000).
The other volatility indices incorporated in the indicator script, such as the GVZ (Gold Volatility Index) and OVX (Oil Volatility Index), capture the market’s perception of volatility in specific asset classes. For instance, GVZ reflects market expectations for volatility in the gold market, which can be influenced by factors such as geopolitical instability, inflation expectations, and changes in investor sentiment toward safe-haven assets. Similarly, OVX tracks the implied volatility of crude oil options, which is a crucial factor for predicting price movements in energy markets, often driven by geopolitical events, OPEC decisions, and supply-demand imbalances (Pindyck, 2004).
Using the Indicator to Identify Market Movements
The volatility indicator alerts traders when specific volatility indices exceed a defined threshold, which may signal a change in market sentiment or an upcoming price movement. These thresholds, set by the user, are typically based on historical levels of volatility that have preceded significant market changes. When a volatility index exceeds this threshold, it suggests that market participants expect greater uncertainty, which often correlates with increased price volatility and the possibility of a trend reversal.
For example, if the VIX exceeds a pre-determined level (e.g., 30), it could indicate that investors are anticipating heightened volatility in the equity markets, potentially signaling a downturn or correction in the broader market. On the other hand, if the OVX rises significantly, it could point to an upcoming sharp movement in crude oil prices, driven by changing market expectations about supply, demand, or geopolitical risks (Geman, 2005).
Practical Application
To effectively use this volatility indicator in market analysis, traders should monitor the alert signals generated when any of the volatility indices surpass their thresholds. This can be used to identify periods of market uncertainty or potential market turning points across different sectors, including equities, commodities, and currencies. The indicator can help traders prepare for increased price movements, adjust their risk management strategies, or even take advantage of anticipated price swings through options trading or volatility-based strategies (Black & Scholes, 1973).
Traders may also use this indicator in conjunction with other technical analysis tools to validate the potential for significant market movements. For example, if the VIX exceeds its threshold and the market is simultaneously approaching a critical technical support or resistance level, the trader might consider entering a position that capitalizes on the anticipated price breakout or reversal.
Conclusion
This volatility indicator is a robust tool for identifying market conditions that are conducive to significant price movements. By tracking the behavior of key volatility indices, traders can gain insights into the market’s expectations of future price fluctuations, enabling them to make more informed decisions regarding market entries and exits. Understanding and monitoring volatility can be particularly valuable during times of heightened uncertainty, as changes in volatility often precede substantial shifts in market direction (French et al., 1987).
References
• Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
• Christoffersen, P. F. (1998). Evaluating Interval Forecasts. International Economic Review, 39(4), 841-862.
• Whaley, R. E. (2000). Derivatives on Market Volatility. Journal of Derivatives, 7(4), 71-82.
• Pindyck, R. S. (2004). Volatility and the Pricing of Commodity Derivatives. Journal of Futures Markets, 24(11), 973-987.
• Geman, H. (2005). Commodities and Commodity Derivatives: Modeling and Pricing for Agriculturals, Metals and Energy. John Wiley & Sons.
• Black, F., & Scholes, M. (1973). The Pricing of Options and Corporate Liabilities. Journal of Political Economy, 81(3), 637-654.
• French, K. R., Schwert, G. W., & Stambaugh, R. F. (1987). Expected Stock Returns and Volatility. Journal of Financial Economics, 19(1), 3-29.
R-based Strategy Template [Daveatt]Have you ever wondered how to properly track your trading performance based on risk rather than just profits?
This template solves that problem by implementing R-multiple tracking directly in TradingView's strategy tester.
This script is a tool that you must update with your own trading entry logic.
Quick notes
Before we dive in, I want to be clear: this is a template focused on R-multiple calculation and visualization.
I'm using a basic RSI strategy with dummy values just to demonstrate how the R tracking works. The actual trading signals aren't important here - you should replace them with your own strategy logic.
R multiple logic
Let's talk about what R-multiple means in practice.
Think of R as your initial risk per trade.
For instance, if you have a $10,000 account and you're risking 1% per trade, your 1R would be $100.
A trade that makes twice your risk would be +2R ($200), while hitting your stop loss would be -1R (-$100).
This way of measuring makes it much easier to evaluate your strategy's performance regardless of account size.
Whenever the SL is hit, we lose -1R
Proof showing the strategy tester whenever the SL is hit: i.imgur.com
The magic happens in how we calculate position sizes.
The script automatically determines the right position size to risk exactly your specified percentage on each trade.
This is done through a simple but powerful calculation:
risk_amount = (strategy.equity * (risk_per_trade_percent / 100))
sl_distance = math.abs(entry_price - sl_price)
position_size = risk_amount / (sl_distance * syminfo.pointvalue)
Limitations with lower timeframe gaps
This ensures that if your stop loss gets hit, you'll lose exactly the amount you intended to risk. No more, no less.
Well, could be more or less actually ... let's assume you're trading futures on a 15-minute chart but in the 1-minute chart there is a gap ... then your 15 minute SL won't get filled and you'll likely to not lose exactly -1R
This is annoying but it can't be fixed - and that's how trading works anyway.
Features
The template gives you flexibility in how you set your stop losses. You can use fixed points, ATR-based stops, percentage-based stops, or even tick-based stops.
Regardless of which method you choose, the position sizing will automatically adjust to maintain your desired risk per trade.
To help you track performance, I've added a comprehensive statistics table in the top right corner of your chart.
It shows you everything you need to know about your strategy's performance in terms of R-multiples: how many R you've won or lost, your win rate, average R per trade, and even your longest winning and losing streaks.
Happy trading!
And remember, measuring your performance in R-multiples is one of the most classical ways to evaluate and improve your trading strategies.
Daveatt
ROI Levels IndicatorROI Levels Indicator 📈💰
Description: The "ROI Levels Indicator" helps you visualize key Return on Investment (ROI) levels directly on your chart, making it easier to track your profit milestones! 🚀 This tool allows you to enter your entry price, and it calculates levels from 100% up to 1000% ROI, each with a spread to represent potential support and resistance zones. The levels are visually represented by red rectangles to help identify zones where the market might react. This is a great way for traders to easily understand profit-taking points and psychological price levels!
Features:
🛠️ Custom Entry Price: Set your own entry price to start calculating ROI levels.
📊 Multiple ROI Levels: Levels from 100% to 1000%, with a customizable spread for visual clarity.
🔴 Visual Representation: Each level is marked with a full-screen-width rectangle and label, making it easy to track.
🚨 Entry Price Plot: A red dashed line marks your entry price for easy reference.
How to Use:
Enter Your Price: Use the "Entry Price" input field to specify the entry price of your trade.
Spread Adjustment: Adjust the spread percentage if you want more or less tolerance around each ROI level.
View the Levels: The script automatically plots 100% to 1000% ROI levels. Each level is represented by a red rectangle and labeled on the right side for quick identification.
Track Profit Zones: Use the plotted ROI levels to identify key profit-taking areas or potential zones of support and resistance.
Pro Tip: Use these levels as reference points to decide when to scale out of positions or manage risk effectively! 🎯
Happy trading, and may your ROI always be on the rise! 📈🔥
Supply and Demand Areas Responsible and Origins [PRO][keypoems]Supply and Demand Areas Responsible and Origins by Keypoems
This indicator highlights supply and demand areas responsible for breaking market structure (SNDR) and tracks how many times these have been "tapped". This is a very advanced and unique capability not present on TradingView at the moment. It also draws and track the "Origins" of breakout moves.
Using this fellow traders can to track with great precision order flow by gauging the reaction of price to these very sensitive areas.
Various powerful trading models can be built around this indicator. Here's an example on how to use it: Price Action will tend to retrace and visit ("tap") critical areas where orders are accumulated (SNDR and Origins) usually twice ("double tap") before continuing a trend. With this knowledge traders can either enter profitably a pro-trend trade after a "double tap" retracement in a responsible area or a origin or if those areas are violated, understand the change in narrative and enter a counter-trend trade.
This indicator is not a mashup of something you have already seen. It is absolutely unique: early testers and fellow traders have been very loud in requesting this to be released to the public (I love you moderators!).
SNDRs (Supply and Demand Responsible)
- Advanced Detection: Looks for the last up-move swing in a bearish zone, or the last down-move in a bullish zone. Adjust the sensitivity choosing a customizable pivot length.
- Mitigation Extension: Option to extend SNDR zones until they are fully mitigated.
- First Tap Indication: Zones change color and text upon the first tap, signaling initial mitigation.
- Second Tap Indication: Zones change color and text upon the first tap, signaling possible trade idea.
- Set pivot length for swing detection.
- Enable bullish and bearish SNDR zones separately.
- Customize texts, colors, and border colors for SNDR zones.
- Adjust line styles, widths, and display of 30%, 50%, and 70% levels within SNDR zones.
Origins
- Definition Flexibility: Mark Origins as the last down-close candle in a bullish zone, last up-close candle in a bearish zone or use the initial swing point with a customizable pivot length.
- Mitigation Extension: Extend origin zones until they are fully mitigated.
- First Tap Indication: Similar to SNDR, origin zones can change appearance upon the first tap.
- Set pivot length for swing detection.
- Enable bullish and bearish origin zones separately.
- Customize texts, colors, borders, and line styles.
- Adjust display of 30%, 50%, and 70% levels within origin zones.
Zones
To be able to draw SNDRs (which are internal counter-trend areas in a zone) the indicator needs to track market structure zones. So the indicator can also draw those zones if needed. The indicator can also extend the current price zones until the 50% of the zone is mitigated.
Info Box
Displays a box with detailed information about the last identified zone, including risk and range size.
- Risk Management: Set the risk amount to calculate contract sizes or position sizing.
- Visibility Options: Adjust the labels' size within the info box for better readability.
- Set the risk amount for calculations.
