Daily Dual Pivots (Std + Fib) Extended by Jackel
簡介： 這個指標旨在為日內交易者提供最強大的支撐與阻力參考。它將市場上最常用的兩種 Pivot Points 計算方式——標準 (Standard) 與 斐波那契 (Fibonacci)——結合在同一個圖表中，讓你一眼就能看出關鍵的價格匯聚點 (Confluence Areas)。
主要特色：
雙重系統並存：
標準 Pivot (Standard)：以 實線 (Solid Lines) 顯示。這是機構與大部分交易者使用的傳統支撐阻力位。
斐波那契 Pivot (Fibonacci)：以 圓點/虛線 (Dotted Lines) 顯示。利用 Fib 黃金比例 (0.382, 0.618) 計算出的潛在反轉位。
清晰的視覺區分：標準版使用暖色系 (紅/綠/橙)，Fib 版使用冷色系 (藍/紫)，互不干擾，清晰易讀。
可選擴展關卡 (S4-S5 / R4-R5)：預設顯示 P, R1-R3, S1-S3。如果市場波動劇烈，你可以在設定中開啟 "Show Extra Levels" 來顯示 R4/R5 及 S4/S5。
自動隱藏歷史：預設只顯示「當日」的線條，保持圖表整潔。如需回測，可開啟「顯示歷史數據」選項。
如何使用：
當 實線 (Standard) 與 虛線 (Fib) 重疊或非常接近時，該區域通常具有更強的支撐或阻力效力。
適用於 15分鐘、1小時或 4小時圖表操作日內交易。
Introduction: This indicator is designed for intraday traders who need precise Support & Resistance levels. It combines the two most popular Pivot Point calculation methods—Standard (Traditional) and Fibonacci—into a single chart, allowing you to easily identify key areas of confluence.
Key Features:
Dual System Strategy:
Standard Pivots: Displayed as Solid Lines. These represent the traditional structural levels used by most traders and institutions.
Fibonacci Pivots: Displayed as Dotted/Circle Lines. These use key Fibonacci ratios (0.382, 0.618) to identify potential reversal zones.
Visual Clarity: Different line styles and color groups allow you to distinguish between Standard and Fib levels instantly without chart clutter.
Extended Levels (Optional): By default, it shows P, R1-R3, and S1-S3. In highly volatile markets, you can enable "Show Extra Levels" in the settings to reveal S4/S5 and R4/R5.
Clean Chart: By default, it only shows levels for the current day. You can enable "Show History" in the settings if you need to backtest.
How to Use:
Look for Confluence: When a Solid Line (Standard) and a Dotted Line (Fib) overlap or are very close to each other, it indicates a very strong Support or Resistance zone.
Best used on 15m, 1H, or 4H charts for intraday analysis.
"a股开盘前15分钟交易规则" için komut dosyalarını ara
Custom ORB (Adjust Time, Color, + Alerts)Set Opening Range Break Out for whatever time range you choose for current day only. 15 min, 30 min etc. You can add alerts on ORB High Low and change color of Lines.
DarkPool FlowDarkPool Flow is a professional-grade technical analysis tool designed to align retail traders with the dominant "smart money" flow. Unlike standard moving average crossovers that often generate false signals during consolidation, this script employs a multi-layered filtering engine to isolate high-probability trends.
The core philosophy of this indicator is that Trends are fractal. A sustainable move on a lower timeframe must be supported by momentum on a higher timeframe. By comparing a "Fast Signal Trend" against a "Slow Anchor Trend" (e.g., Daily vs. Weekly), the script identifies the market bias used by institutional algorithms.
This edition features a Smart Recovery Engine, ensuring that valid trends are not missed simply because momentum started slowly, and a Dynamic Cloud that visually represents the strength of the trend spread.
Key Features
1. Auto-Adaptive Timeframe Logic
The script eliminates the guesswork of Multi-Timeframe (MTF) selection. By enabling "Auto-Adapt," the indicator detects your current chart timeframe and automatically maps it to the mathematically correct institutional pairings:
Scalping (<15m): Uses 15-Minute Trend vs. 1-Hour Anchor.
Day Trading (15m - 1H): Uses 4-Hour Trend vs. Daily Anchor.
Swing Trading (4H - Daily): Uses Daily Trend vs. Weekly Anchor (The classic "Golden" setup).
Investing (Weekly): Uses 21-Week EMA vs. 50-Week SMA (Bull Market Support Band logic).
2. Smart Recovery Signal Engine
Standard crossover scripts often miss major moves if the specific breakout candle has low volume or weak ADX. This script utilizes a state-machine logic that "remembers" the trend direction. If a trend begins during low volatility (gray candles), the script waits. The moment volatility and momentum confirm the move, a Smart Recovery Signal is triggered, allowing you to enter an existing trend safely.
3. Chop Protection (Gray Candles)
Preservation of capital is the priority. The script analyzes the Average Directional Index (ADX) and Volatility (ATR).
Colored Candles (Green/Red): The market is trending with sufficient strength. Trading is permitted.
Gray Candles: The market is in a low-energy chop or consolidation (ADX < 20). Trading is discouraged.
4. Dynamic Trend Cloud
The space between the Fast and Slow trends is filled with a dynamic cloud.
Darker/Opaque Cloud: Indicates a widening spread, suggesting accelerating momentum.
Lighter/Transparent Cloud: Indicates a narrowing spread, suggesting the trend may be weakening or consolidating.
5. Pullback & Retest Signals (+)
While triangles mark the start of a trend, the Plus (+) signs mark low-risk opportunities to add to a position. These appear when price dips into the cloud, finds support at the "Fair Value" zone, and closes back in the direction of the trend with confirmed momentum.
User Guide & Strategy
Setup
Add the indicator to your chart.
For Beginners: Enable "Auto-Adaptive Timeframes" in the settings.
For Advanced Users: Disable Auto-Adapt and manually configure your Fast/Slow pairings (Default is Daily 50 EMA / Weekly 50 EMA).
Signal Mode: Choose "First Breakout Only" for a cleaner chart, or "All Signals" if you wish to see re-entry points during choppy starts.
Long Entry Criteria (Buy)
Trend: The Cloud must be Green (Fast Trend > Slow Trend).
Signal: A Green Triangle appears below the bar.
Confirmation: The signal candle must not be Gray.
Re-Entry: A small Green (+) sign appears, indicating a successful test of the cloud support.
Short Entry Criteria (Sell)
Trend: The Cloud must be Red (Fast Trend < Slow Trend).
Signal: A Red Triangle appears above the bar.
Confirmation: The signal candle must not be Gray.
Re-Entry: A small Red (+) sign appears, indicating a successful test of the cloud resistance.
Stop Loss & Risk Management
Stop Loss: A standard institutional stop loss is placed just beyond the Slow Trend Line (the outer edge of the cloud). If price closes beyond the Slow Trend, the macro thesis is invalid.
Take Profit: Target liquidity pools or use a trailing stop based on the Fast Trend line.
Settings Overview
Mode Selection: Toggle between Auto-Adaptive logic or Manual control.
Manual Configuration: Define the specific Timeframe, Length, and Type (EMA, SMA, WMA) for both Fast and Slow trends.
Signal Logic: Toggle "Show Pullback Signals" on/off. Switch between "First Breakout" or "All Signals."
Quality Filters: Toggle individual filters (ATR, RSI, ADX) to adjust sensitivity. Turning these off makes the script more responsive but increases false signals.
Visual Style: Customize colors for Bullish, Bearish, and Neutral (Gray) states. Adjust cloud transparency.
Disclaimer
Risk Warning: Trading financial markets involves a high degree of risk and is not suitable for all investors. You could lose some or all of your initial investment.
Educational Use Only: This script and the information provided herein are for educational and informational purposes only. They do not constitute financial advice, investment advice, trading advice, or any other recommendation.
No Guarantee: Past performance of any trading system or methodology is not necessarily indicative of future results. The "Institutional Trend" indicator is a tool to assist in technical analysis, not a crystal ball. The creators of this script assume no responsibility or liability for any trading losses or damages incurred as a result of using this tool. Always perform your own due diligence and consult with a qualified financial advisor before making investment decisions.
PRO Trade Manager//@version=5
indicator("PRO Trade Manager", shorttitle="PRO Trade Manager", overlay=false)
// ============================================================================
// INPUTS
//This code and all related materials are the exclusive property of Trade Confident LLC. Any reproduction, distribution, modification, or unauthorized use of this code, in whole or in part, is strictly prohibited without the express written consent of Trade Confident LLC. Violations may result in civil and/or criminal penalties to the fullest extent of the law.
// © Trade Confident LLC. All rights reserved.
// ============================================================================
// Moving Average Settings
maLength = input.int(15, "Signal Strength", minval=1, tooltip="Length of the moving average to measure deviation from (lower = more sensitive)")
maType = "SMA" // Fixed to SMA, no longer user-selectable
// Deviation Settings
deviationLength = input.int(20, "Deviation Period", minval=1, tooltip="Lookback period for standard deviation calculation")
// Signal Frequency dropdown - controls both upper and lower thresholds
signalFrequency = input.string("More/Good Accuracy", "Signal Frequency", options= ,
tooltip="Normal/Highest Accuracy = ±2.0 StdDev | More/Good Accuracy = ±1.5 StdDev | Most/Moderate Accuracy = ±1.0 StdDev")
// Set thresholds based on selected frequency
upperThreshold = signalFrequency == "Most/Moderate Accuracy" ? 1.0 : signalFrequency == "More/Good Accuracy" ? 1.5 : 2.0
lowerThreshold = signalFrequency == "Most/Moderate Accuracy" ? -1.0 : signalFrequency == "More/Good Accuracy" ? -1.5 : -2.0
// Continuation Signal Settings
atrMultiplier = input.float(2.0, "TP/DCA Market Breakout Detection", minval=0, step=0.5, tooltip="Number of ATR moves required to trigger continuation signals (Set to 0 to disable)")
// Visual Settings
showMA = false // MA display removed from settings
showSignals = input.bool(true, "Show Alert Signals", tooltip="Show visual signals when price is overextended")
// ============================================================================
// CALCULATIONS
// ============================================================================
// Calculate Moving Average based on type
ma = switch maType
"SMA" => ta.sma(close, maLength)
"EMA" => ta.ema(close, maLength)
"WMA" => ta.wma(close, maLength)
"VWMA" => ta.vwma(close, maLength)
=> ta.sma(close, maLength)
// Calculate deviation from MA
deviation = close - ma
// Calculate standard deviation
stdDev = ta.stdev(close, deviationLength)
// Calculate number of standard deviations away from MA
deviationScore = stdDev != 0 ? deviation / stdDev : 0
// Smooth the deviation score slightly for cleaner signals
smoothedDeviation = ta.ema(deviationScore, 3)
// ============================================================================
// SIGNALS
// ============================================================================
// Overextended conditions
overextendedHigh = smoothedDeviation >= upperThreshold
overextendedLow = smoothedDeviation <= lowerThreshold
// Signal triggers (crossing into overextended territory)
bullishSignal = ta.crossunder(smoothedDeviation, lowerThreshold)
bearishSignal = ta.crossover(smoothedDeviation, upperThreshold)
// Track if we're in bright histogram zones
isBrightGreen = smoothedDeviation <= lowerThreshold
isBrightRed = smoothedDeviation >= upperThreshold
// Track if we were in bright zone on previous bar
wasBrightGreen = smoothedDeviation <= lowerThreshold
wasBrightRed = smoothedDeviation >= upperThreshold
// Detect oscillator turning up after bright green (buy signal)
// Trigger if we were in bright green and oscillator turns up, even if no longer bright green
oscillatorTurningUp = smoothedDeviation > smoothedDeviation
buySignal = barstate.isconfirmed and wasBrightGreen and oscillatorTurningUp and smoothedDeviation <= smoothedDeviation
// Detect oscillator turning down after bright red (sell signal)
// Trigger if we were in bright red and oscillator turns down, even if no longer bright red
oscillatorTurningDown = smoothedDeviation < smoothedDeviation
sellSignal = barstate.isconfirmed and wasBrightRed and oscillatorTurningDown and smoothedDeviation >= smoothedDeviation
// ============================================================================
// ATR-BASED CONTINUATION SIGNALS
// ============================================================================
// Calculate ATR for distance measurement
atrLength = 14
atr = ta.atr(atrLength)
// Track price levels when ANY sell or buy signal occurs (original or continuation)
var float lastSellPrice = na
var float lastBuyPrice = na
// Initialize tracking on original signals
if sellSignal
lastSellPrice := close
if buySignal
lastBuyPrice := close
// Continuation Sell Signal: Price moved up by ATR multiplier from last red dot
// Disabled when atrMultiplier is set to 0
continuationSell = atrMultiplier > 0 and barstate.isconfirmed and not na(lastSellPrice) and close >= lastSellPrice + (atrMultiplier * atr)
// Continuation Buy Signal: Price moved down by ATR multiplier from last green dot
// Disabled when atrMultiplier is set to 0
continuationBuy = atrMultiplier > 0 and barstate.isconfirmed and not na(lastBuyPrice) and close <= lastBuyPrice - (atrMultiplier * atr)
// Update reference prices when continuation signals trigger (reset the 3 ATR counter)
if continuationSell
lastSellPrice := close
if continuationBuy
lastBuyPrice := close
// Combine original and continuation signals for plotting
allBuySignals = buySignal or continuationBuy
allSellSignals = sellSignal or continuationSell
// Track if a signal occurred to keep it visible on dashboard
// Signals trigger at barstate.isconfirmed (bar close)
var bool showBuyOnDashboard = false
var bool showSellOnDashboard = false
// Update dashboard flags immediately when signals occur
if allBuySignals
showBuyOnDashboard := true
showSellOnDashboard := false
else if allSellSignals
showSellOnDashboard := true
showBuyOnDashboard := false
else if barstate.isconfirmed
// Reset flags on bar close if no new signal
showBuyOnDashboard := false
showSellOnDashboard := false
// ============================================================================
// PLOTTING
// ============================================================================
// Professional color scheme
var color colorBullish = #00C853 // Professional green
var color colorBearish = #FF1744 // Professional red
var color colorNeutral = #2962FF // Professional blue
var color colorGrid = #363A45 // Dark gray for lines
var color colorBackground = #1E222D // Chart background
// Dynamic line color based on value
lineColor = smoothedDeviation > upperThreshold ? colorBearish :
smoothedDeviation < lowerThreshold ? colorBullish :
smoothedDeviation > 0 ? color.new(colorBearish, 50) :
color.new(colorBullish, 50)
// Plot the deviation oscillator with dynamic coloring
plot(smoothedDeviation, "Deviation Score", color=lineColor, linewidth=2)
// Plot zero line
hline(0, "Zero Line", color=color.new(colorGrid, 0), linestyle=hline.style_solid, linewidth=1)
// Subtle fill for overextended zones (without visible threshold lines)
upperLine = hline(upperThreshold, "Upper Threshold", color=color.new(color.gray, 100), linestyle=hline.style_dashed, linewidth=1)
lowerLine = hline(lowerThreshold, "Lower Threshold", color=color.new(color.gray, 100), linestyle=hline.style_dashed, linewidth=1)
fill(upperLine, hline(3), color=color.new(colorBearish, 95), title="Overextended High Zone")
fill(lowerLine, hline(-3), color=color.new(colorBullish, 95), title="Overextended Low Zone")
// Histogram style visualization (optional alternative)
histogramColor = smoothedDeviation >= upperThreshold ? color.new(colorBearish, 20) :
smoothedDeviation <= lowerThreshold ? color.new(colorBullish, 20) :
smoothedDeviation > 0 ? color.new(colorBearish, 80) :
color.new(colorBullish, 80)
plot(smoothedDeviation, "Histogram", color=histogramColor, style=plot.style_histogram, linewidth=3)
// ============================================================================
// BUY/SELL SIGNAL MARKERS
// ============================================================================
// Plot buy signals at -3.5 level (includes both initial and extended signals)
plot(allBuySignals ? -3.5 : na, title="Buy Signal", style=plot.style_circles,
color=color.new(colorBullish, 0), linewidth=4)
// Plot sell signals at 3.5 level (includes both initial and extended signals)
plot(allSellSignals ? 3.5 : na, title="Sell Signal", style=plot.style_circles,
color=color.new(colorBearish, 0), linewidth=4)
// ============================================================================
// ALERTS - SIMPLIFIED TO ONLY TWO ALERTS
// ============================================================================
// Alert 1: Long Entry/Short TP - fires on ANY green dot (original or continuation)
alertcondition(allBuySignals, "Long Entry/Short TP", "Long Entry/Short TP")
// Alert 2: Long TP/Short Entry - fires on ANY red dot (original or continuation)
alertcondition(allSellSignals, "Long TP/Short Entry", "Long TP/Short Entry")
// ============================================================================
// DATA DISPLAY
// ============================================================================
// Create a professional table for current readings
var color tableBgColor = #1a2332 // Dark blue background
var table infoTable = table.new(position.middle_right, 2, 2, border_width=1,
border_color=color.new(#2962FF, 30),
frame_width=1,
frame_color=color.new(#2962FF, 30))
if barstate.islast
// Determine status
statusText = overextendedHigh ? "OVEREXTENDED ↓" :
overextendedLow ? "OVEREXTENDED ↑" :
smoothedDeviation > 0 ? "Buyers In Control" : "Sellers In Control"
statusColor = overextendedHigh ? color.new(colorBearish, 0) :
overextendedLow ? color.new(colorBullish, 0) :
color.white
// Background color for status cell
statusBgColor = color.new(tableBgColor, 0)
// Status Row
table.cell(infoTable, 0, 0, "Status",
bgcolor=color.new(tableBgColor, 0),
text_color=color.white,
text_size=size.normal)
table.cell(infoTable, 1, 0, statusText,
bgcolor=statusBgColor,
text_color=statusColor,
text_size=size.normal)
// Signal Row - always show
table.cell(infoTable, 0, 1, "Signal",
bgcolor=color.new(tableBgColor, 0),
text_color=color.white,
text_size=size.normal)
// Show signal if flags are set (will stay visible during the bar)
if showBuyOnDashboard or showSellOnDashboard
// Green dot (buy signal) = "Long Entry/Short TP" with arrow up, white text on green background
// Red dot (sell signal) = "Long TP/Short Entry" with arrow down, white text on red background
signalText = showBuyOnDashboard ? "↑ Long Entry/Short TP" : "↓ Long TP/Short Entry"
signalColor = showBuyOnDashboard ? color.new(colorBullish, 0) : color.new(colorBearish, 0)
table.cell(infoTable, 1, 1, signalText,
bgcolor=signalColor,
text_color=color.white,
text_size=size.normal)
else
table.cell(infoTable, 1, 1, "Watching...",
bgcolor=color.new(tableBgColor, 0),
text_color=color.new(color.white, 60),
text_size=size.normal)
TMT EMA Bundle - Hitesh NimjeTMT EMA Bundle - Multi Timeframe EMA Indicator
Created by: Hitesh Nimje | Contact: 8087192915
Overview
The TMT EMA Bundle is a comprehensive multi-EMA indicator designed for traders who rely on multiple exponential moving averages for trend analysis and trading decisions. This powerful tool displays 10 essential EMAs on your chart, providing complete visibility of short, medium, and long-term trends.
Key Features
🔹 10 Essential EMAs Included:
• EMA 9 (Blue) - Ultra Short-term trend
• EMA 11 (Red) - Short-term momentum
• EMA 15 (Yellow) - Quick trend changes
• EMA 21 (Black) - Swing trading reference
• EMA 50 (Gray) - Medium-term bias
• EMA 51 (Orange) - Alternative medium-term
• EMA 55 (Brown) - Extended medium-term
• EMA 100 (Purple) - Long-term trend
• EMA 200 (Maroon) - Major support/resistance
• EMA 400 (Green) - Primary trend direction
🔹 Customizable Settings
• Source selection for each EMA (Open, High, Low, Close, HL2, HLC3, OHLC4)
• Independent length adjustment for each moving average
• Color-coded lines for easy identification
🔹 Professional Features
• Clean, overlay display on price charts
• Optimized performance with max limits set
• Compatible with all timeframes
• Works on all instruments (Forex, Stocks, Crypto, Commodities)
How to Use
1. Trend Identification: All EMAs aligned = Strong trend
2. Support/Resistance: EMAs act as dynamic support/resistance levels
3. Entry Signals: Price reactions at key EMAs
4. Trend Confirmation: EMA crossovers indicate potential trend changes
5. Risk Management: Use EMAs for stop-loss placement
Best Practices
• Use higher timeframes (1H, 4H, Daily) for clearer signals
• Combine with price action and volume analysis
• Watch for EMA clusters and divergences
• Consider trend strength by EMA separation
Perfect For
✓ Swing Traders
✓ Day Traders
✓ Trend Followers
✓ Scalpers (shorter timeframes)
✓ Position Traders
Technical Specifications
• Version: Pine Script v6
• Overlay: Yes
• Multi-timeframe compatible
• No repainting
• Lightweight and efficient
This indicator is part of the Thought Magic Trading collection, designed to provide professional-grade technical analysis tools for serious traders.
Happy Trading! 📈
TRADING DISCLAIMER
RISK WARNING
Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. You should carefully consider whether trading is suitable for you in light of your circumstances, knowledge, and financial resources.
NO FINANCIAL ADVICE
This indicator is provided for educational and informational purposes only. It does not constitute:
* Financial advice or investment recommendations
* Buy/sell signals or trading signals
* Professional investment advice
* Legal, tax, or accounting guidance
LIMITATIONS AND DISCLAIMERS
Technical Analysis Limitations
* Pivot points are mathematical calculations based on historical price data
* No guarantee of accuracy of price levels or calculations
* Markets can and do behave irrationally for extended periods
* Past performance does not guarantee future results
* Technical analysis should be used in conjunction with fundamental analysis
Data and Calculation Disclaimers
* Calculations are based on available price data at the time of calculation
* Data quality and availability may affect accuracy
* Pivot levels may differ when calculated on different timeframes
* Gaps and irregular market conditions may cause level failures
* Extended hours trading may affect intraday pivot calculations
Market Risks
* Extreme market volatility can invalidate all technical levels
* News events, economic announcements, and market manipulation can cause gaps
* Liquidity issues may prevent execution at calculated levels
* Currency fluctuations, inflation, and interest rate changes affect all levels
* Black swan events and market crashes cannot be predicted by technical analysis
USER RESPONSIBILITIES
Due Diligence
* You are solely responsible for your trading decisions
* Conduct your own research before using this indicator
* Verify calculations with multiple sources before trading
* Consider multiple timeframes and confirm levels with other technical tools
* Never rely solely on one indicator for trading decisions
Risk Management
* Always use proper risk management and position sizing
* Set appropriate stop-losses for all positions
* Never risk more than you can afford to lose
* Consider the inherent risks of leverage and margin trading
* Diversify your portfolio and trading strategies
Professional Consultation
* Consult with qualified financial advisors before trading
* Consider your tax obligations and legal requirements
* Understand the regulations in your jurisdiction
* Seek professional advice for complex trading strategies
LIMITATION OF LIABILITY
Indemnification
The creator and distributor of this indicator shall not be liable for:
* Any trading losses, whether direct or indirect
* Inaccurate or delayed price data
* System failures or technical malfunctions
* Loss of data or profits
* Interruption of service or connectivity issues
No Warranty
This indicator is provided "as is" without warranties of any kind:
* No guarantee of accuracy or completeness
* No warranty of uninterrupted or error-free operation
* No warranty of merchantability or fitness for a particular purpose
* The software may contain bugs or errors
Maximum Liability
In no event shall the liability exceed the purchase price (if any) paid for this indicator. This limitation applies regardless of the theory of liability, whether contract, tort, negligence, or otherwise.
REGULATORY COMPLIANCE
Jurisdiction-Specific Risks
* Regulations vary by country and region
* Some jurisdictions prohibit or restrict certain trading strategies
* Tax implications differ based on your location and trading frequency
* Commodity futures and options trading may have additional requirements
* Currency trading may be regulated differently than stock trading
Professional Trading
* If you are a professional trader, ensure compliance with all applicable regulations
* Adhere to fiduciary duties and best execution requirements
* Maintain required records and reporting
* Follow market abuse regulations and insider trading laws
TECHNICAL SPECIFICATIONS
Data Sources
* Calculations based on TradingView data feeds
* Data accuracy depends on broker and exchange reporting
* Historical data may be subject to adjustments and corrections
* Real-time data may have delays depending on data providers
Software Limitations
* Internet connectivity required for proper operation
* Software updates may change calculations or functionality
* TradingView platform dependencies may affect performance
* Third-party integrations may introduce additional risks
MONEY MANAGEMENT RECOMMENDATIONS
Conservative Approach
* Risk only 1-2% of capital per trade
* Use position sizing based on volatility
* Maintain adequate cash reserves
* Avoid over-leveraging accounts
Portfolio Management
* Diversify across multiple strategies
* Don't put all capital into one approach
* Regularly review and adjust trading strategies
* Maintain detailed trading records
FINAL LEGAL NOTICES
Acceptance of Terms
* By using this indicator, you acknowledge that you have read and understood this disclaimer
* You agree to assume all risks associated with trading
* You confirm that you are legally permitted to trade in your jurisdiction
Updates and Changes
* This disclaimer may be updated without notice
* Continued use constitutes acceptance of any changes
* It is your responsibility to stay informed of updates
Governing Law
* This disclaimer shall be governed by the laws of the jurisdiction where the indicator was created
* Any disputes shall be resolved in the appropriate courts
* Severability clause: If any part of this disclaimer is invalid, the remainder remains enforceable
REMEMBER: THERE ARE NO GUARANTEES IN TRADING. THE MAJORITY OF RETAIL TRADERS LOSE MONEY. TRADE AT YOUR OWN RISK.
Contact Information:
* Creator: Hitesh_Nimje
* Phone: Contact@8087192915
* Source: Thought Magic Trading
© HiteshNimje - All Rights Reserved
This disclaimer should be prominently displayed whenever the indicator is shared, sold, or distributed to ensure users are fully aware of the risks and limitations involved in trading.
Simulated Liquidation Heatmap [QuantAlgo]🟢 Overview
This indicator visualizes where clusters of stop-loss orders and liquidation levels are likely located, displayed as a 'heatmap'. It's based on the concept of market structure liquidity: large groups of stop orders tend to gather around obvious technical levels (like swing highs and lows), and these pools of orders often attract price movement from institutional traders. The indicator uses a fractal-based algorithm to identify these high-probability liquidation zones and displays them as dynamic, color-coded boxes.
The key feature is the thermal color gradient, which indicates the freshness (age) and therefore the relative relevance of the liquidity zone. Hot colors (e.g., Red/Yellow) represent fresh clusters that have just formed, suggesting strong and immediate liquidity interest. Cold colors (e.g., Blue/Purple) represent aged or decaying clusters that are becoming less relevant over time. This visualization allows traders to anticipate potential liquidity sweeps (stop hunts) and understand areas of significant retail and institutional positioning.
🟢 Key Features
1. Liquidity Zone Heatmap
The core function is the identification of swing high and swing low price points using a user-defined Lookback period. These points are where retail traders are statistically most likely to place their stop-loss orders. The indicator simulates the clustering of these orders by drawing a zone (box) around the detected swing point, with the vertical size controlled by the Stop/Liquidation Zone Width (%) setting.
▶ Cluster Lookback: Defines the sensitivity of swing point detection. Lower values detect frequent, minor zones (scalping/intraday); higher values detect major, stronger swing points (swing trading).
▶ Zone Width (%): Sets the percentage range above and below the swing point where stops are simulated to cluster, accounting for slippage and typical stop placement spread.
▶ Liquidity Decay: Zones gradually fade in color intensity and are eventually removed after the user-defined Liquidity Decay Period (Bars), ensuring the heatmap only displays relevant, current liquidity areas.
▶ Round Number Filter: An optional filter that limits the display to liquidity zones occurring only at psychologically significant round numbers (e.g., $100, $1,500.00), which typically attract higher concentrations of orders.
2. Thermal Color Gradient
The heatmap's color is a direct function of the zone's age, providing a visual proxy for immediate relevance.
▶ Freshness: Newly created zones are displayed in the Hot Color (high relevance).
▶ Decay: As bars pass, the zone color transitions along the gradient toward the Cold Color and increased transparency (lower relevance), until it is removed entirely.
▶ Color Schemes: Multiple pre-configured and custom color schemes are available to optimize the visualization for different chart themes and color preferences.
3. Liquidity Heat Thermometer
An optional visual thermometer is displayed on the chart to provide an instant, overall assessment of the current liquidation heat level in the immediate vicinity of the price.
▶ Calculation: The thermometer calculates an aggregate heat score based on the age and proximity of all liquidity zones within a user-defined Zone Detection Range (%) of the current price.
▶ Visual Feedback: A marker (triangle) points to the corresponding level on the thermometer's color gradient (Hot to Cold). A high reading indicates price is close to fresh, dense stop clusters, suggesting high volatility or an imminent liquidity sweep is probable. A low reading indicates price is in a low-density or aged liquidity area.
▶ Customization: The thermometer's resolution, position, and text size are fully customizable for optimal chart placement and readability.
🟢 Practical Applications
▶ Anticipate Sweeps: Prioritize trading in the direction of Hot (fresh) liquidity zones. For example, a hot low-side zone suggests strong sell-side liquidity (stop-losses) is available for large buyers to sweep.
▶ Filter Noise: Use the Round Number Filter to focus only on the highest probability liquidation zones, which are often at clean, psychological price levels.
▶ Validate Entries: Combine the Heat Thermometer with price action analysis. A rising heat level indicates increasing proximity to a major stop cluster, signaling a potential turn or an aggressive market move to sweep those stops.
▶ Risk Management: Understand that price often acts dynamically around these zones. High heat levels imply high risk/reward setups; stops should be placed strategically beyond the defined Liquidation Zone Width.
▶ Multi-Timeframe Context: Higher timeframes (e.g., Daily, 4-Hour) often reveal more significant, major liquidity zones. Use this indicator on lower timeframes (e.g., 5-min, 15-min) for execution, but prioritize zones that align with higher-timeframe structures.
XAUUSD Liquidity Sweep + Engulfing (4H/2H/15m)Key Features in This Script:
4H Bias (Trend): We use RSI on 4H to determine if the market is in a bullish or bearish trend.
2H Setup: When price sweeps below previous lows or above previous highs (liquidity sweep), we confirm it with RSI and an engulfing candle.
15m Entry: After the liquidity sweep is confirmed on the 15m chart, we check for a bullish engulfing (for buys) or bearish engulfing (for sells) with RSI confirmation.
How to Use It:
Add the Script: Copy-paste the code above into TradingView’s Pine Editor.
Apply it to the 15-minute chart for XAUUSD (Gold).
Alerts: Set up alerts when a Buy or Sell signal appears based on the conditions.
Alerts Example:
When a liquidity sweep and RSI flip happens with an engulfing candle, TradingView will notify you, helping you enter at the right time.
🚀 Next Steps:
Try it out and let me know how the alerts and signals are working for you.
If you'd like to add custom stop-loss or take-profit calculations, or include Fibonacci levels, let me know!
FluxPulse Beacon## FluxPulse Beacon
FluxPulse Beacon applies a microstructure lens to every bar, combining directional thrust, realized volatility, and multi-timeframe liquidity checks to decide whether the tape is being pushed by real sponsorship or just noise. The oscillator's color-coded columns and adaptive burst thresholds transform complex flow dynamics into a single actionable flux score for futures and equities traders.
HOW IT WORKS
Momentum Extraction – Price differentials over a configurable pulse distance are smoothed using exponential moving averages to isolate directional thrust without reacting to single prints.
Volatility + Liquidity Normalization – The momentum stream is divided by realized volatility and multiplied by both local and higher-timeframe EMA volume ratios, ensuring pulses only appear when volatility and liquidity align.
Adaptive Thresholding – A volatility-derived standard deviation of flux is blended with the base threshold so bursts scale automatically between low-volatility and high-volatility market conditions.
Divergence Engine – Linear regression slopes compare price vs. flux to tag bullish/bearish divergences, highlighting stealth accumulation or distribution zones.
HOW TO USE IT
Continuation Entries : Go with the trend when histogram bars stay above the adaptive threshold, the signal line confirms, and trend bias agrees—this is where liquidity-backed follow-through lives.
Fade Plays : Watch for divergence alerts and shrinking compression values; when flux prints below zero yet price grinds higher, hidden selling pressure often precedes rollovers.
Session Filter : Compression percentage in the diagnostics table instantly tells you whether to trade thin overnight sessions—low compression means stand down.
VISUAL FEATURES
Dynamic background heat maps flux magnitude, while threshold lines provide a quick read on whether a pulse is statistically significant.
Diagnostics table displays live flux, signal, adaptive threshold, and compression for quick reference.
Alert-first workflow: The surface is intentionally clean—bursts and divergences are delivered via alerts instead of on-chart clutter.
PARAMETERS
Trend EMA Length (default: 34): Defines the macro bias anchor; increase for higher-timeframe confirmation.
Pulse Distance (default: 8): Controls how sensitive momentum extraction becomes.
Volatility Window (default: 21): Sample window for realized volatility normalization.
Liquidity Window (default: 55): Volume smoothing window that proxies liquidity expansion.
Liquidity Reference TF (default: 60): Select a higher timeframe to cross-check whether current volume matches institutional flows.
Adaptive Threshold (default: enabled): Disable for fixed thresholds on slower markets; enable for high-volatility assets.
Base Burst Threshold (default: 1.25): Minimum flux magnitude that qualifies as an actionable pulse.
ALERTS
The indicator includes four alert conditions:
Bull Burst: Detects upside liquidity pulses
Bear Burst: Detects downside liquidity pulses
Bull Divergence: Flags bullish delta divergence
Bear Divergence: Flags bearish delta divergence
LIMITATIONS
This indicator is designed for liquid futures and equity markets. Performance may degrade in low-volume or highly illiquid instruments. The adaptive threshold system works best on timeframes where sufficient volatility history exists (typically 15-minute charts and above). Divergence signals are probabilistic and should be confirmed with price action.
INSERT_CHART_SNAPSHOT_URL_HERE
---
## RangeLattice Mapper
RangeLattice Mapper constructs a higher-timeframe scaffolding on any intraday chart, locking in structural highs/lows, mid/quarter grids, VWAP confluence, and live acceptance/break analytics. It provides a non-repainting overlay that turns range management into a disciplined process.
HOW IT WORKS
Structure Harvesting – Using request.security() , the script samples highs/lows from a user-selected timeframe (default 240 minutes) over a configurable lookback to establish the dominant range.
Grid Construction – Midpoint and quarter levels are derived mathematically, mirroring how institutional traders map distribution/accumulation zones.
Acceptance Detection – Consecutive closes inside the range flip an acceptance flag and darken the cloud, signaling balanced auction conditions.
Break Confirmation – Multi-bar closes outside the structure raise break labels and alerts, filtering the countless fake-outs that plague breakout traders.
VWAP Fan Overlay – Session VWAP plus ATR-based bands provide a live measure of flow centering relative to the lattice.
HOW TO USE IT
Range Plays : Fade taps of the outer rails only when acceptance is active and VWAP sits inside the grid—this is where mean-reversion works best.
Breakout Plays : Wait for confirmed break labels before entering expansion trades; the dashboard's Width/ATR metric tells you if the expansion has enough fuel.
Market Prep : Carry the same lattice from pre-market into regular trading hours by keeping the structure timeframe fixed; alerts keep you notified even when managing multiple tickers.
VISUAL FEATURES
Range Tap and Mid Pivot markers provide a tape-reading breadcrumb trail for journaling.
Cloud fill opacity tightens when acceptance persists, visually signaling balance compressions ready to break.
Dashboard displays absolute width, ATR-normalized width, and current state (Balanced vs Transitional) so you can glance across charts quickly.
Acceptance Flag toggle: Keep the repeated acceptance squares hidden until you need to audit balance.
PARAMETERS
Structure Timeframe (default: 240): Choose the timeframe whose ranges matter most (4H for indices, Daily for stocks).
Structure Lookback (default: 60): Bars sampled on the structure timeframe.
Acceptance Bars (default: 8): How many consecutive bars inside the range confirm balance.
Break Confirmation Bars (default: 3): Bars required outside the range to validate a breakout.
ATR Reference (default: 14): ATR period for width normalization.
Show Midpoint Grid (default: enabled): Display the midpoint and quarter levels.
Show Adaptive VWAP Fan (default: enabled): Toggle the VWAP channel for assets where volume distribution matters most.
Show Acceptance Flags (default: disabled): Turn the acceptance markers on/off for maximum visual control.
Show Range Dashboard (default: enabled): Disable if screen space is limited, re-enable during prep sessions.
ALERTS
The indicator includes five alert conditions:
Range High Tap: Price interacted with the RangeLattice high
Range Low Tap: Price interacted with the RangeLattice low
Range Mid Tap: Price interacted with the RangeLattice mid
Range Break Up: Confirmed upside breakout
Range Break Down: Confirmed downside breakout
LIMITATIONS
This indicator works best on liquid instruments with clear structural levels. On very low timeframes (1-minute and below), the structure may update too frequently to be useful. The acceptance/break confirmation system requires patience—faster traders may find the multi-bar confirmation too slow for scalping. The VWAP fan is session-based and resets daily, which may not suit all trading styles.
---
Structure Analysis + Hammer Alert# Structure Resistance + Hammer Alert
## 📊 Indicator Overview
This indicator integrates Structure Breakout Analysis with Candlestick Pattern Recognition, helping traders identify market trend reversal points and strong momentum signals. Through visual markers and background colors, you can quickly grasp the bullish/bearish market structure.
---
## 🎯 Core Features
### 1️⃣ Structure Resistance System
- Auto-plot Previous High/Low: Automatically marks key support/resistance based on pivot points
- Structure Breakout Detection: Shows "BULL" when price breaks above previous high, "BEAR" when breaking below previous low
- Trend Background Color: Green background for bullish structure, red background for bearish structure
### 2️⃣ Bullish Momentum Candles (Hammer Patterns)
Detects candles with long lower shadows, indicating strong buying pressure at lows:
- 💪Strong Bull (Bullish Hammer): Green marker, bullish close with significant lower shadow
- 💪Weak Bull (Bearish Hammer): Teal marker, bearish close but strong lower shadow
### 3️⃣ Bearish Momentum Candles (Inverted Hammer/Shooting Star)
Detects candles with long upper shadows, indicating strong selling pressure at highs:
- 💪Weak Bear (Bullish Inverted Hammer): Orange marker, bullish close but significant upper shadow
- 💪Strong Bear (Shooting Star): Red marker, bearish close with significant upper shadow
### 4️⃣ Smart Marker Sizing
Markers automatically adjust size based on current trend:
- With-Trend Signals: Larger markers (e.g., hammer in bullish trend)
- Counter-Trend Signals: Smaller markers (e.g., shooting star in bullish trend)
- Neutral Trend: Medium-sized markers
---
## ⚙️ Parameter Settings
### Structure Resistance Parameters
- Swing Length: Default 5, higher values = clearer structure but fewer signals
- Show Lines/Labels: Toggle on/off options
### Bullish Momentum (Hammer) Parameters
- Lower Shadow/Body Ratio: Default 2.0, lower shadow must be 2x body size
- Upper Shadow/Body Ratio Limit: Default 0.2, upper shadow cannot be too long
- Body Position Ratio: Default 2.0, ensures body is at the top of candle
### Bearish Momentum (Inverted Hammer) Parameters
- Upper Shadow/Body Ratio: Default 2.0, upper shadow must be 2x body size
- Lower Shadow/Body Ratio Limit: Default 0.2, lower shadow cannot be too long
- Body Position Ratio: Default 2.0, ensures body is at the bottom of candle
### Filter & Display Settings
- Minimum Body Size: Filters out doji-like candles with tiny bodies
- Pattern Type Toggles: Show/hide different pattern types individually
- Background Transparency: Adjust background color intensity (higher = more transparent)
- Label Distance: Adjust marker distance from candles
---
## 📈 Usage Guidelines
### Trading Signal Interpretation
**Long Signals (Strongest to Weakest):**
1. Bullish Structure + Bullish Hammer (💪Strong Bull) → Strongest long signal
2. Bullish Structure + Bearish Hammer (💪Weak Bull) → Secondary long signal
3. Bearish Structure + Hammer → Potential reversal signal
**Short Signals (Strongest to Weakest):**
1. Bearish Structure + Shooting Star (💪Strong Bear) → Strongest short signal
2. Bearish Structure + Bullish Inverted Hammer (💪Weak Bear) → Secondary short signal
3. Bullish Structure + Shooting Star → Potential reversal signal
### Practical Tips
✅ Trend Following: Prioritize large marker signals (aligned with trend)
✅ Structure Confirmation: Wait for structure breakout before entry to avoid false breaks
✅ Multiple Timeframes: Confirm trend direction with higher timeframes
⚠️ Counter-Trend Caution: Small marker signals (counter-trend) require stricter risk management
---
## 🔔 Alert Setup
This indicator provides 9 alert conditions:
- Individual Patterns: Bullish Hammer, Bearish Hammer, Bullish Inverted Hammer, Shooting Star
- Combined Signals: Bullish Momentum, Bearish Momentum, Bull/Bear Momentum
- Structure Breakouts: Bullish Structure Break, Bearish Structure Break
---
## 💡 FAQ
**Q: Why do hammers sometimes appear without markers?**
A: Check "Minimum Body Size" setting - the candle body may be too small and filtered out
**Q: Too many or too few markers?**
A: Adjust "Lower Shadow/Body Ratio" or "Upper Shadow/Body Ratio" parameters - higher ratios = stricter conditions
**Q: How to see only the strongest signals?**
A: Disable "Bearish Hammer" and "Bullish Inverted Hammer", keep only "Bullish Hammer" and "Shooting Star"
**Q: Can it be used on all timeframes?**
A: Yes, but recommended for 15-minute and higher timeframes - shorter timeframes have more noise
---
## 📝 Disclaimer
⚠️ This indicator is a supplementary tool and should be used with other technical analysis methods
⚠️ Past performance does not guarantee future results - always practice proper risk management
⚠️ Recommended to test on demo account before live trading
---
**Version:** Pine Script v6
**Applicable Markets:** Stocks, Futures, Cryptocurrencies, and all markets
Kalman Ema Crosses - [JTCAPITAL]Kalman EMA Crosses - is a modified way to use Kalman Filters applied on Exponential Moving Averages (EMA Crosses) for Trend-Following.
Credits for the kalman function itself goes to @BackQuant
The Kalman filter is a recursive smoothing algorithm that reduces noise from raw price or indicator data, and in this script it is applied both directly to price and on top of EMA calculations. The goal is to create cleaner, more reliable crossover signals between two EMAs that are less prone to false triggers caused by volatility or market noise.
The indicator works by calculating in the following steps:
Source Selection
The script starts by selecting the price input (default is Close, but can be adjusted). This chosen source is the foundation for all further smoothing and EMA calculations.
Kalman Filtering on Price
Depending on user settings, the selected source is passed through one of two independent Kalman filters. The filter takes into account process noise (representing expected market randomness) and measurement noise (representing uncertainty in the price data). The Kalman filter outputs a smoothed version of price that minimizes noise and preserves underlying trend structure.
EMA Calculation
Two exponential moving averages (EMA 1 and EMA 2) are then computed on the Kalman-smoothed price. The lengths of these EMAs are fully customizable (default 15 and 25).
Kalman Filtering on EMA Values
Instead of directly using raw EMA curves, the script applies a second layer of Kalman filtering to the EMA values themselves. This step significantly reduces whipsaw behavior, creating smoother crossovers that emphasize real momentum shifts rather than temporary volatility spikes.
Trend Detection via EMA Crossovers
-A bullish trend is detected when EMA 1 (fast) crosses above EMA 2 (slow).
-A bearish trend is detected when EMA 1 crosses below EMA 2.
The detected trend state is stored and used to dynamically color the plots.
Visual Representation
Both EMAs are plotted on the chart. Their colors shift to blue during bullish phases and purple during bearish phases. The area between the two EMAs is filled with a shaded region to clearly highlight trending conditions.
Buy and Sell Conditions:
-Buy Condition: When the Kalman-smoothed EMA 1 crosses above the Kalman-smoothed EMA 2, a bullish crossover is confirmed.
-Sell Condition: When EMA 1 crosses below EMA 2, a bearish crossover is confirmed.
Users may enhance the robustness of these signals by adjusting process noise, measurement noise, or EMA lengths. Lower measurement noise values make the filter react faster (but potentially noisier), while higher values make it smoother (but slower).
Features and Parameters:
-Source: Selectable price input (Close, Open, High, Low, etc.).
-EMA 1 Length: Defines the fast EMA period.
-EMA 2 Length: Defines the slow EMA period.
-Process Noise: Controls how much randomness the Kalman filter assumes in price dynamics.
-Measurement Noise: Controls how much uncertainty is assumed in raw input data.
-Kalman Usage: Option to apply Kalman filtering either before EMA calculation (on price) or after (on EMA values).
Specifications:
Kalman Filter
The Kalman filter is an optimal recursive algorithm that estimates the state of a system from noisy measurements. In trading, it is used to smooth prices or indicator values. By balancing process noise (expected volatility) with measurement noise (data uncertainty), it generates a smoothed signal that reacts adaptively to market conditions.
Exponential Moving Average (EMA)
An EMA is a weighted moving average that emphasizes recent data more heavily than older data. This makes it more responsive than a simple moving average (SMA). EMAs are widely used to identify trends and momentum shifts.
EMA Crossovers
The crossing of a fast EMA above a slow EMA suggests bullish momentum, while the opposite suggests bearish momentum. This is a cornerstone technique in trend-following systems.
Dual Kalman Filtering
Applying Kalman both to raw price and to the EMAs themselves reduces whipsaws further. It creates crossover signals that are not only smoothed but also validated across two levels of noise reduction. This significantly enhances signal reliability compared to traditional EMA crossovers.
Process Noise
Represents the filter’s assumption about how much the underlying market can randomly change between steps. Higher values make the filter adapt faster to sudden changes, while lower values make it more stable.
Measurement Noise
Represents uncertainty in price data. A higher measurement noise value means the filter trusts the model more than the observed data, leading to smoother results. A lower value makes the filter more reactive to observed price fluctuations.
Trend Coloring & Fill
The use of dynamic colors and filled regions provides immediate visual recognition of trend states, helping traders act faster and with greater clarity.
Enjoy!
Linear Trajectory & Volume StructureThe Linear Trajectory & Volume Structure indicator is a comprehensive trend-following system designed to identify market direction, volatility-adjusted channels, and high-probability entry points. Unlike standard Moving Averages, this tool utilizes Linear Regression logic to calculate the "best fit" trajectory of price, encased within volatility bands (ATR) to filter out market noise.
It integrates three core analytical components into a single interface:
Trend Engine: A Linear Regression Curve to determine the mean trajectory.
Volume Verification: Filters signals to ensure price movement is backed by market participation.
Market Structure: Identifies previous high-volume supply and demand zones for support and resistance analysis.
2. Core Components and Logic
The Trajectory Engine
The backbone of the system is a Linear Regression calculation. This statistical method fits a straight line through recent price data points to determine the current slope and direction.
The Baseline: Represents the "fair value" or mean trajectory of the asset.
The Cloud: Calculated using Average True Range (ATR). It expands during high volatility and contracts during consolidation.
Trend Definition:
Bullish: Price breaks above the Upper Deviation Band.
Bearish: Price breaks below the Lower Deviation Band.
Neutral/Chop: Price remains inside the cloud.
Smart Volume Filter
The indicator includes a toggleable volume filter. When enabled, the script calculates a Simple Moving Average (SMA) of the volume.
High Volume: Current volume is greater than the Volume SMA.
Signal Validation: Reversal signals and structure zones are only generated if High Volume is present, reducing the likelihood of trading false breakouts on low liquidity.
Volume Structure (Smart Liquidity)
The script automatically plots Support (Demand) and Resistance (Supply) boxes based on pivot points.
Creation: A box is drawn only if a pivot high or low is formed with High Volume (if the volume filter is active).
Mitigation: The boxes extend to the right. If price breaks through a zone, the box turns gray to indicate the level has been breached.
3. Signal Guide
Trend Reversals (Buy/Sell Labels)
These are the primary signals indicating a potential change in the macro trend.
BUY Signal: Appears when price closes above the upper volatility band after previously being in a downtrend.
SELL Signal: Appears when price closes below the lower volatility band after previously being in an uptrend.
Pullbacks (Small Circles)
These are continuation signals, useful for adding to positions or entering an existing trend.
Long Pullback: The trend is Bullish, but price dips momentarily below the baseline (into the "discount" area) and closes back above it.
Short Pullback: The trend is Bearish, but price rallies momentarily above the baseline (into the "premium" area) and closes back below it.
4. Configuration and Settings
Trend Engine Settings
Trajectory Length: The lookback period for the Linear Regression. This is the most critical setting for tuning sensitivity.
Channel Multiplier: Controls the width of the cloud.
1.0: Aggressive. Results in narrower bands and earlier signals, but more false positives.
1.5: Balanced (Default).
2.0+: Conservative. Creates a wide channel, filtering out significant noise but delaying entry signals.
Signal Logic
Show Trend Reversals: Toggles the main Buy/Sell labels.
Show Pullbacks: Toggles the re-entry circle signals.
Smart Volume Filter: If checked, signals require above-average volume. Unchecking this yields more signals but removes the volume confirmation requirement.
Volume Structure
Show Smart Liquidity: Toggles the Support/Resistance boxes.
Structure Lookback: Defines how many bars constitute a pivot. Higher numbers identify only major market structures.
Max Active Zones: Limits the number of boxes on the chart to prevent clutter.
5. Timeframe Optimization Guide
To maximize the effectiveness of the Linear Trajectory, you must adjust the Trajectory Length input based on your trading style and timeframe.
Scalping (1-Minute to 5-Minute Charts)
Recommended Length: 20 to 30
Multiplier: 1.2 to 1.5
Logic: Fast-moving markets require a shorter lookback to react quickly to micro-trend changes.
Day Trading (15-Minute to 1-Hour Charts)
Recommended Length: 55 (Default)
Multiplier: 1.5
Logic: A balance between responsiveness and noise filtering. The default setting of 55 is standard for identifying intraday sessions.
Swing Trading (4-Hour to Daily Charts)
Recommended Length: 89 to 100
Multiplier: 1.8 to 2.0
Logic: Swing trading requires filtering out intraday noise. A longer length ensures you stay in the trade during minor retracements.
6. Dashboard (HUD) Interpretation
The Head-Up Display (HUD) provides a summary of the current market state without needing to analyze the chart visually.
Bias: Displays the current trend direction (BULLISH or BEARISH).
Momentum:
ACCELERATING: Price is moving away from the baseline (strong trend).
WEAKENING: Price is compressing toward the baseline (potential consolidation or reversal).
Volume: Indicates if the current candle's volume is HIGH or LOW relative to the average.
Disclaimer
*Trading cryptocurrencies, stocks, forex, and other financial instruments involves a high level of risk and may not be suitable for all investors. This indicator is a technical analysis tool provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profit. Past performance of any trading system or methodology is not necessarily indicative of future results.
Matt's Multi-Timeframe MACD Direction AlertThe indicator monitors the direction of the Moving Average Convergence Divergence (MACD) lines on four specific timeframes: 1-hour, 15-minute, 5-minute, and 1-minute.
It only generates a signal when the MACD in all four timeframes is trending in the same direction (either all are bullish, or all are bearish). This alignment suggests a strong, synchronized market momentum from short-term scalping views up to immediate-term swing views.
Key Features:
Multi-Timeframe Confirmation: Uses TradingView's request.security() function to fetch data from different timeframes (1h, 15m, 5m, 1m), preventing the need to manually switch charts.
Visual Dashboard: A dashboard table is displayed on your chart, providing an immediate visual status (Bullish/Bearish/Neutral) for each of the four timeframes.
On-Chart Signals: The indicator plots visual shapes (green triangles for bullish alignment, red triangles for bearish alignment) directly on the sub-chart when the condition is met.
Custom Alert Integration: It includes a built-in alertcondition() function, allowing traders to set up real-time, hands-free notifications whenever a synchronized trading opportunity arises.
This tool helps filter out noise and potential false signals that might appear on a single timeframe, focusing instead on robust signals confirmed by a consensus of time perspectives.
BTC Price Prediction Model [Global PMI]V2🇺🇸 English Guide
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
💡 Unique Insight: PMI & The 4-Year Cycle
A key distinguishing feature of this model is the hypothesis that Bitcoin's famous "4-Year Halving Cycle" may be intrinsically linked to the Global Business Cycle (PMI), rather than just supply shocks.
Therefore, the model incorporates PMI as a valuation "Amplifier".
Note: Due to TradingView data limitations, US PMI is currently used as the proxy for the global cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
7. Support Us ❤️
If you find this indicator useful, please Boost 👍, Comment, and add it to your Favorites! Your support keeps us going.
🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
💡 独家洞察：PMI 与 4年周期
本模型的一个核心独特之处在于：我们认为比特币著名的“4年减半周期”背后的真正驱动力，可能与全球商业周期 (PMI) 高度同步，而不仅仅是供应减半。
因此，模型特别引入 PMI 作为估值的“放大器” (Amplifier)。
注：由于 TradingView 数据源限制，目前采用历史数据最详尽的美国 PMI 作为全球周期的代理指标。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
BTC Price Prediction Model [Global PMI]🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
🇺🇸 English Guide (英文说明)
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
STRAT - MTF Dashboard + FTFC + Reversals v2.7# STRAT Indicator - Complete Description
## Overview
A comprehensive multi-timeframe STRAT trading system indicator that combines market structure analysis, flip levels, Full Timeframe Continuity (FTFC), and reversal pattern detection across 12 timeframes.
## Core Features
### 1. **Multi-Timeframe STRAT Dashboard**
- Displays STRAT combos (1, 2u, 2d, 3) across 12 timeframes: 1m, 5m, 15m, 30m, 1H, 4H, 12H, Daily, Weekly, Monthly, Quarterly, Yearly
- Color-coded directional bias (green/red/doji)
- Inside bars (●) and Outside bars (●) highlighted
- Current timeframe marked with ★
### 2. **HTF Flip Levels with Smart Grouping**
- Displays higher timeframe (HTF) flip levels (open prices) as labels on the right side
- Automatically groups multiple timeframes at the same price level (e.g., "★ 1H/4H/D")
- Current timeframe flip level always displayed with ★ marker
- Color-coded: Green (above price) / Red (below price)
### 3. **Full Timeframe Continuity (FTFC)**
- User-selectable 4 timeframes for FTFC analysis (default: D, W, M, Q)
- Green line: FTFC Up (highest open of 4 timeframes)
- Red line: FTFC Down (lowest open of 4 timeframes)
- Identifies when price is above/below all 4 timeframe opens
### 4. **Hammer & Shooting Star Detection**
- **Hammer Pattern**: Long lower wick (≥2x body), small upper wick, signals potential bottom reversal
- **Shooting Star Pattern**: Long upper wick (≥2x body), small lower wick, signals potential top reversal
- Scans last 100 bars (adjustable) and marks ALL historical patterns
- Chart markers: 🔨 (Hammer) below bars, 🔻 (Shooting Star) above bars
- Dashboard column shows reversal patterns for each timeframe
- Adjustable wick-to-body ratio sensitivity (1.5 to 5.0)
### 5. **Debug Tables**
- **FTFC Debug**: Shows close vs. 4 timeframe opens, confirms all-green/all-red conditions
- **Reversal Debug**: Real-time analysis of current bar - body size, wick measurements, ratios, and pattern qualification
## Settings
### Display Settings
- Dashboard position (9 options: top-left to bottom-right)
- Dashboard text size (tiny to huge)
- Label offset and text size
- Toggle individual features on/off
### FTFC Settings
- Select 4 custom timeframes for continuity analysis
- Default: Daily, Weekly, Monthly, Quarterly
### Reversal Settings
- **Wick to Body Ratio**: Sensitivity for pattern detection (default 2.0)
- **Lookback Bars**: How many historical bars to scan (default 100, max 500)
- Show/hide reversal markers on chart
- Show/hide reversal debug table
## Use Cases
1. **Momentum Trading**: Identify STRAT setups (2-2, 2-1-2 reversals, 3-bar plays) across multiple timeframes
2. **Swing Trading**: Use HTF flip levels as support/resistance and FTFC for trend confirmation
3. **Reversal Trading**: Catch hammer/shooting star patterns at key levels for counter-trend entries
4. **Multi-Timeframe Analysis**: Confirm alignment across timeframes before entering trades
## How to Use
### For STRAT Traders
- Look for 2-1-2 reversal setups in the dashboard
- Watch for inside bars (●) at HTF flip levels for breakout trades
- Use outside bars (●) to identify potential volatility expansion
### For Reversal Traders
- 🔨 Hammers after downtrends = potential long entries
- 🔻 Shooting stars after uptrends = potential short entries
- Combine with HTF flip levels for high-probability setups
### For Trend Followers
- FTFC green line above = bullish structure
- FTFC red line below = bearish structure
- Enter when price breaks and holds above/below FTFC levels
## Visual Elements
- **Green Labels**: HTF flip levels above current price (resistance)
- **Red Labels**: HTF flip levels below current price (support)
- **Lime Line**: FTFC Up (highest timeframe open)
- **Red Line**: FTFC Down (lowest timeframe open)
- **🔨 Icon**: Hammer pattern (potential reversal up)
- **🔻 Icon**: Shooting Star pattern (potential reversal down)
- **★ Symbol**: Current timeframe or multiple timeframes grouped
## Performance Notes
This indicator performs 12 multi-timeframe security calls and may take 15-30 seconds to calculate on initial load. This is normal for comprehensive MTF analysis.
## Version
v2.7 - Simplified reversal detection, current TF labeling, optimized performance
---
**Perfect for**: STRAT traders, multi-timeframe analysts, reversal pattern traders, swing traders looking for high-probability setups with confluence across timeframes.
OBV + WaveTrend Volume Scalper [GratefulFutures]This script is a combination script of three different strategies that provides buy and sell signals based on the change of volume with momentum confirmations.
Sources used:
This script relies on the outstanding scripts of the great script writer LazyBear: LazyBear
The following scripts were used in this publication:
1. A modified "On-Balance Volume Oscillator" modified from LazyBear's original script:
2. Wavetrend Oscillator with crosses, Author: LazyBear
3. Squeeze Momentum Oscillator, Author: LazyBear
This script functions based on the following criteria being true:
1. On balance volume oscillator turning from negative to positive (buy) or positive to negative (sell)
2. Squeeze Momentum value is increasing (buy) or decreasing (sell)
3. Wavetrend 1 (wt1) is greater than wavetrend 2 (wt2) (buy)/ Wavetrend 1 (wt1) is less than wavetrend 2 (wt2) (sell)
By combining these factors the indicator is able to signal exactly when net buying turns to net selling (OBV) and when this change is most advantageous to continue based on the momentum and price action of the underlying asset (SQMOMO and Wavetrend).
This allows you to pair volume and price action for a powerful tool to identify where price will reverse or continue providing exceptional entries for short term trades, especially when combined with other aspects such as support and resistance, or volume profile.
How to use:
Simply adjust the settings to your preference and read the given signals as generated.
Settings
There are multiple ways to tune the signals generated. It is set standard for my preferred use on a 1 minute chart.
OBV Oscillator Settings
The first 4 dropdowns in the Inputs section tune the On Balance Volume Oscillator (OBVO) portion of the indicator. You can choose if you want it to calculate based on close, open, high, low, or other value.
The most impactful in the entire settings is going to be the length and smoothing of the OBVO EMA. Making this number lower increasing the sensitivity to changes in volume, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (5-20) is reasonable for the OBVO EMA length. There is a separate smoothing factor titled OBV Smoothing Length and below that, OBV Smoothing Type , a value of (2) is standard with "SMA" for smoothing type with a value of between 2-10 being reasonable. You may also play with these values to see what you like for your trading style.
Wavetrend Settings
The next 3 options are to modify the wavetrend portion of the indicator. I do not modify these from standard, and feel that they work appropriately on all time frames at the following values: n1 length (10), n2 length (20), Wavetrend Signal SMA length (4)
Squeeze Momentum Settings
The following 5 options through the end modify the Squeeze momentum portion of the indicator. The only one that modifies the signals generated is the KC Length , Making this number lower increasing the sensitivity to changes in price action, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (18-25) is reasonable for KC Length .
Style Setting
You may select if you want to see the buy and sell signals. The following 5 options Raw OBV Osc through Squeeze Momentum allow you to see where each specific requirement was met, posted as a vertical line, but for live use it is recommended to turn all of these vertical lines off and only use the buy and sell signals.
Time Frames:
While this script is most effective on shorter time frames (1 minute for scalping and daytrading) it is also viable to use it on longer timeframes, due to the nature of its components being independent of time frame.
Examples of use - (Green and red vertical lines are for visualization purpose and are not part of the script)
SPY 1 Minute (Factory Settings):
SPX 15 minutes (Factory Settings):
Considerations
This script is meant primarily for short term trading, trades on the basis of seconds to minutes primarily. While they can be a good indication of volume lining up with momentum, it is always wise to use them in combination with other factors such as support, resistance, market structure, volume levels, or the many other techniques out there...
As Always... Happy Trading.
-Not_A_Mad_Scientist (GreatfulFutures Trade University)
Volume essential parameters overlayVolume EPO – Essential Volume Parameters Overlay
1. Motivation and design philosophy
Volume EPO is designed as a conceptual overlay rather than a self contained trading system. The main idea behind this script is to take complex, foundational market concepts out of heavy, menu driven strategies and express them as lightweight, independent layers that sit on top of any chart or indicator.
In many TradingView scripts, a single strategy tries to handle everything at once: signal logic, risk settings, visual cues, multi timeframe controls, and conceptual explanations. This usually leads to long input menus, performance issues, and difficult maintenance. The architectural approach behind Volume EPO is the opposite: keep the core strategy lean, and move the explanation and measurement of key concepts into dedicated overlays.
In this framework, Volume EPO is the base layer for the concept of volume. It does not decide anything about entries or exits. Instead, it exposes and clarifies how different definitions of volume behave candle by candle. Other layers or strategies can then build on top of this understanding.
2. What Volume EPO does
Volume EPO focuses on four essential volume parameters for each bar:
- Buy volume - Sell volume - Total volume - Delta volume (the difference between buy and sell volume)
The script presents these parameters in a compact heads up display (HUD) table that can be positioned anywhere on the chart. It is designed to be visually minimal, language aware, and usable on top of any other indicator or price action without cluttering the view.
The indicator does not output signals, alerts, arrows, or strategy entries. It is a descriptive and educational tool that shows how volume is distributed, not a prescriptive tool that tells the trader what to do.
3. Two definitions of volume
A central theme of this script is that there is more than one way to define and interpret “volume” inside a single candle. Volume EPO implements and clearly separates two different approaches:
- A geometric, candle based approximation that uses only OHLC and volume of the current bar. - An intrabar, data driven definition that uses lower timeframe up and down volume when it is available.
The user can switch between these modes via the calculation method input. The mode is prominently shown inside the on chart table so that the context is always explicit.
3.1 Geometry mode (Source File, approximate)
In Geometry mode, Volume EPO works only with the current bar’s OHLC values and total volume. No lower timeframe data is required.
The candle’s range is defined as high minus low. If the range is positive, the position of the close inside that range is used as a simple model for how volume might have been distributed between buyers and sellers:
- The closer the close is to the high, the more of the total volume is attributed to the buying side. - The closer the close is to the low, the more of the total volume is attributed to the selling side. - In a rare case where the bar has no price range (for example a flat or doji bar), total volume is split evenly between buy and sell volume.
From this model, the script derives:
- Buy volume (approximated) - Sell volume (approximated) - Total volume (as reported by the bar) - Delta volume as the difference between buy and sell volume
This approach is intentionally labeled as “Geometry (Approx)” in the HUD. It is a theoretical reconstruction based solely on the candle’s geometry and total volume, and it is always available on any market or timeframe that provides OHLCV data.
3.2 Intrabar mode (Precise)
In Intrabar mode, Volume EPO uses the TradingView built in library for up and down volume on a user selected lower timeframe. Instead of inferring volume from the shape of the candle, it reads the underlying lower timeframe data when that data is accessible.
The script requests up and down volume from a lower timeframe such as 15 seconds, using the official TA library functions. The results are then interpreted as follows:
- Buy volume is taken as the absolute value of the up volume. - Sell volume is taken as the absolute value of the down volume. - Total volume is the sum of buy and sell volume. - Delta volume is provided directly by the library as the difference between up and down volume.
If valid lower timeframe data exists for a bar, the bar is counted as covered by Intrabar data. If not, that bar is marked as invalid for this precise calculation and is excluded from the covered count.
This mode is labeled “Precise” in the HUD, together with the selected lower timeframe, because it is anchored in actual intrabar data rather than in a geometric model. It provides a closer view of how buying and selling pressure unfolded inside the bar, at the cost of requiring more data and being dependent on the availability of that data.
4. Coverage, lookback, and what the numbers mean
The top part of the HUD reports not only which volume definition is active, but also an additional line that describes the effective coverage of the data.
In Intrabar (Precise) mode, the script displays:
- “Scanned: N Bars”
Here, N counts how many bars since the indicator was loaded have successfully received valid lower timeframe delta data. It is a measure of how much of the visible history has been truly covered by intrabar information, not a lookback window in the sense of a rolling calculation.
In Geometry mode, the script displays:
- “Lookback: L Bars”
In this extracted layer, the lookback value L is purely descriptive. It does not change how the current bar’s volume is computed, and it is not used in any iterative or statistical calculation inside this script. It is meant as a conceptual label, for example to keep the volume layer consistent with a broader framework where lookback length is a structural parameter.
Summarizing these two fields:
- Scanned tells you how many bars have been processed using real intrabar data. - Lookback is a descriptive parameter in Geometry mode in this specific overlay, not a direct driver of the computations.
5. The HUD layout on the chart
The on chart table is intentionally compact and structured to be read quickly:
- Header: a title identifying the overlay as Volume EPO. - Mode line: explicitly states whether the script is in Precise or Geometry mode, and for Precise mode also shows the lower timeframe used. - Coverage line: - In Precise mode, it shows “Scanned: N Bars”. - In Geometry mode, it shows “Lookback: L Bars”. - Volume block: - A line for buy and sell volume, marked with clear directional symbols. - A line for total volume and the absolute delta, accompanied by the sign of the delta. - Numeric formatting uses human friendly suffixes (for example K, M, B) to keep the display readable. - Footer: the current symbol and a time stamp, adjusted by a user selectable timezone offset so that the HUD can be aligned with the trader’s local time reference.
The table can be positioned anywhere on the chart and resized via inputs, and it supports multiple color themes and languages in order to integrate cleanly into different chart layouts.
6. How to use Volume EPO in practice
Volume EPO is meant to be read together with price action and other tools, not in isolation. Typical uses include:
- Studying how often a strong directional candle is actually supported by dominant buy or sell volume. - Comparing the behavior of delta volume between Geometry and Intrabar definitions. - Building a personal intuition for how intrabar data refines or contradicts the simple candle based approximation. - Feeding these insights into separate, lean strategy scripts that do not need to carry the full explanatory logic of volume inside them.
Because it is an overlay layer, Volume EPO can be stacked with other custom indicators without adding new signals or complexity to their logic. It simply adds a clear and consistent view of volume behavior on top of whatever the trader is already watching.
7. Educational and non signalling nature
Finally, it is important to stress that Volume EPO is not a trading system, not a signal generator, and not financial advice. The script does not tell the user when to enter or exit. It only reports how different definitions of volume describe the current bar.
Deciding whether to trade, how to trade, and which risk parameters to use remains entirely with the user and with their own strategy. Volume EPO provides context and clarity around the concept of volume so that those decisions can be informed by a better understanding of how buying and selling pressure is structured inside each candle.
Note: Even on lower timeframes, every reconstruction of volume remains an approximation, except at the true single tick level. However, the closer the chosen lower timeframe is to a one tick stream, the more accurately it can reflect the underlying order flow and balance between buying and selling pressure.
Real Relative Strength Indicator### What is RRS (Real Relative Strength)?
RRS is a volatility-normalized relative strength indicator that shows you – in real time – whether your stock, crypto, or any asset is genuinely beating or lagging the broader market after adjusting for risk and volatility. Unlike the classic “price ÷ SPY” line that gets completely fooled by volatility regimes, RRS answers the only question that actually matters to professional traders:
“Is this ticker moving better (or worse) than the market on a risk-adjusted basis right now?”
It does this by measuring the excess momentum of your ticker versus a benchmark (SPY, QQQ, BTC, etc.) and then dividing that excess by the average volatility (ATR) of both instruments. The result is a clean, centered-around-zero oscillator that works the same way in calm markets, crash markets, or parabolic bull runs.
### How to Use the RRS Indicator (Aqua/Purple Area Version) in Practice
The indicator is deliberately simple to read once you know the rules:
Positive area (aqua) means genuine outperformance.
Negative area (purple) means genuine underperformance.
The farther from zero, the stronger the leadership or weakness.
#### Core Signals and How to Trade Them
- RRS crossing above zero → one of the highest-probability long signals in existence. The asset has just started outperforming the market on a risk-adjusted basis. Enter or add aggressively if price structure agrees.
- RRS crossing below zero → leadership is ending. Tighten stops, take partial or full profits, or flip short if you trade both sides.
- RRS above +2 (bright aqua area) → clear leadership. This is where the real money is made in bull markets. Trail stops, add on pullbacks, let winners run.
- RRS below –2 (bright purple area) → clear distribution or capitulation. Avoid new longs, consider short entries or protective puts.
- Extreme readings above +4 or below –4 (background tint appears) → rare, very high-conviction moves. Treat these like once-a-month opportunities.
- Divergence (not plotted here, but easy to spot visually): price making new highs while the aqua area is shrinking → distribution. Price making new lows while the purple area is shrinking → hidden buying and coming reversal.
#### Best Settings by Style and Asset Class
For stocks and ETFs: keep benchmark as SPY (or QQQ for tech-heavy names) and length 14–20 on daily/4H charts.
For crypto: change the benchmark to BTCUSD (or ETHUSD) immediately — otherwise the reading is meaningless. Length 10–14 works best on 1H–4H crypto charts because volatility is higher.
For day trading: drop length to 10–12 and use 15-minute or 5-minute charts. Signals are faster and still extremely clean.
#### Highest-Edge Setups (What Actually Prints Money)
- RRS crosses above zero while price is still below a major moving average (50 EMA, 200 SMA, etc.) → early leadership, often catches the exact bottom of a new leg up.
- RRS already deep aqua (+3 or higher) and price pulls back to support without RRS dropping below +1 → textbook add-on or re-entry zone.
- RRS deep purple and suddenly turns flat or starts curling up while price is still falling → hidden accumulation, usually the exact low tick.
That’s it. Master these few rules and the RRS becomes one of the most powerful edge tools you will ever use for rotation trading...
Psychological LevelsADVANCED PSYCHOLOGICAL LEVELS - PROFESSIONAL FOREX INDICATOR
This highly customizable indicator automatically identifies and visualizes all major psychological price levels across any Forex chart. Psychological levels represent critical price zones where traders naturally congregate their orders due to human psychology's attraction to round numbers. These levels consistently act as powerful support and resistance zones in the market.
🎯 KEY FEATURES:
✅ Four Distinct Level Types - Choose from 1000-pip, 100-pip, 50-pip, 25-pip, and 10-pip psychological levels
✅ Individual Color Customization - Each level type has its own customizable zone and line colors
✅ Separate Zone Width Control - Adjust zone width independently for each level type
✅ Universal Forex Compatibility - Automatically adapts to JPY pairs and all other currency pairs
✅ Extended Coverage - Displays levels far beyond the visible chart area for comprehensive analysis
✅ Fixed Positioning - Levels remain stationary when scrolling or zooming
✅ Fully Customizable Styling - Choose between solid, dashed, or dotted line styles
📊 LEVEL TYPES EXPLAINED:
🟣 1000-pip Levels (e.g., EUR/USD: 1.0000, 2.0000 | USD/JPY: 100.00, 110.00, 120.00)
The strongest macro-level psychological barriers in the Forex market
Represent massive institutional, long-term price zones
Extremely important for position traders, swing traders, and macro analysis
Used by hedge funds, banks, and large liquidity providers for major order placement
Ideal for identifying long-term support/resistance, trend reversals, and market structure shifts
Default color: Purple (highest, macro-level importance)
🔴 100-pip Levels (e.g., EUR/USD: 1.1000, 1.1100, 1.1200 | USD/JPY: 150.00, 151.00, 152.00)
The most significant psychological barriers in Forex trading
Major round numbers where institutional traders place large orders
Strongest support and resistance zones with highest reaction probability
Essential for swing trading and position trading strategies
Default color: Red (highest importance)
🟠 50-pip Levels (e.g., EUR/USD: 1.1050, 1.1150, 1.1250 | USD/JPY: 150.50, 151.50, 152.50)
Secondary psychological levels positioned midway between 100-pip levels
Important intermediate zones for profit-taking and order clustering
Highly effective for day trading strategies
Reliable targets for partial profit exits
Default color: Orange (medium-high importance)
🔵 25-pip Levels (e.g., EUR/USD: 1.1025, 1.1075, 1.1125 | USD/JPY: 150.25, 150.75, 151.25)
Quartile levels providing granular market structure
Perfect for scalping and short-term trading approaches
Excellent confluence zones with technical indicators
Ideal for tight stop-loss placement
Default color: Blue (medium importance)
🟢 10-pip Levels (e.g., EUR/USD: 1.1010, 1.1020, 1.1030 | USD/JPY: 150.10, 150.20, 150.30)
Most detailed psychological levels for precision trading
Optimal for micro scalping and high-frequency strategies
Provides fine-grained market structure analysis
Useful for optimizing entry and exit timing
Default color: Green (detailed analysis)
⚙️ CUSTOMIZATION OPTIONS:
Color Settings (Individual for Each Level):
Zone Color - Customize fill color with adjustable transparency
Line Color - Set center line color independently
Default color scheme uses traffic light logic (Purple → Red → Orange → Blue → Green)
Zone Width Settings (Separate for Each Level):
1000-pip Levels: Default 15 pips (widest zones for long-term significance)
100-pip Levels: Default 8 pips (wider zones for major levels)
50-pip Levels: Default 5 pips (medium zones)
25-pip Levels: Default 3 pips (smaller zones)
10-pip Levels: Default 2 pips (narrowest zones for precision)
Display Settings:
Line Style: Choose between Solid, Dashed, or Dotted
Line Thickness: Adjustable from 1 to 5 pixels
Level Selection: Toggle each level type on/off independently
💡 TRADING APPLICATIONS:
📈 Support & Resistance Identification
Instantly recognize where price is likely to react
Identify key reversal zones before they occur
Combine with price action for high-probability setups
🎯 Optimal Entry & Exit Points
Enter trades at psychological support/resistance
Set realistic profit targets at the next psychological level
Improve win rate by trading with market psychology
🛡️ Strategic Stop-Loss Placement
Position stops just beyond psychological levels to avoid stop hunts
Reduce premature stop-outs by understanding where others place stops
Protect profits by moving stops to psychological levels
💰 Profit Target Optimization
Set take-profit orders at psychological levels where profit-taking occurs
Scale out positions at multiple psychological levels
Maximize gains by understanding where demand/supply shifts
📊 Breakout Trading
Identify when price decisively breaks through major psychological barriers
Trade momentum when psychological levels are breached
Confirm breakouts using multiple level types as confluence
⚖️ Risk Management Enhancement
Calculate better risk-reward ratios using psychological levels
Size positions based on distance to next psychological level
Improve overall trading consistency
🔬 WHY PSYCHOLOGICAL LEVELS WORK:
Psychological levels are self-fulfilling prophecies in financial markets. Because thousands of traders worldwide monitor the same round numbers, these levels naturally attract significant order flow:
Order Clustering: Pending buy/sell orders accumulate at round numbers
Profit Taking: Traders instinctively close positions at psychological levels
Stop Hunts: Market makers often push price to psychological levels to trigger stops
Institutional Activity: Banks and funds use round numbers for large order placement
Pattern Recognition: Human brains naturally gravitate toward simple, round numbers
📋 TECHNICAL SPECIFICATIONS:
✓ Pine Script Version 6 (latest)
✓ Compatible with all Forex pairs (majors, minors, exotics)
✓ Works on all timeframes (M1 to Monthly)
✓ Automatic JPY pair detection and adjustment
✓ Maximum 500 lines and 500 boxes for optimal performance
✓ Levels extend infinitely across the chart
✓ No repainting - levels are fixed once drawn
✓ Efficient calculation prevents performance issues
✓ Clean visualization without chart clutter
👥 IDEAL FOR:
Day Traders: Use 100-pip and 50-pip levels for intraday setups
Swing Traders: Focus on major 100-pip levels for multi-day positions
Scalpers: Enable 25-pip and 10-pip levels for precision entries
Position Traders: Use 100-pip levels for long-term support/resistance analysis
Beginner Traders: Learn to recognize important market structure easily
Algorithm Developers: Incorporate psychological levels into automated strategies
🚀 HOW TO USE:
Add the indicator to any Forex chart
Select which level types you want to display (100, 50, 25, 10)
Customize colors to match your chart theme
Adjust zone widths based on your trading style and timeframe
Choose line style (solid, dashed, or dotted)
Watch for price reactions at the highlighted psychological zones
Use the levels to plan entries, exits, and stop-loss placement
💎 BEST PRACTICES:
✓ Combine with candlestick patterns for confirmation signals
✓ Wait for price action confirmation before entering trades
✓ Use multiple timeframes to identify the most significant levels
✓ Disable 10-pip levels on higher timeframes to reduce visual noise
✓ Enable only 100-pip levels for clean, uncluttered analysis on Daily/Weekly charts
✓ Adjust zone widths based on pair volatility (wider for volatile pairs)
✓ Use color coding to instantly recognize level importance
⚡ PERFORMANCE OPTIMIZED:
This indicator is engineered for maximum efficiency:
Smart calculation only within visible price range
Duplicate prevention system avoids overlapping levels
Optimized loops with early break conditions
Extended coverage (500 bars) without performance degradation
Handles thousands of levels across all timeframes smoothly
🎨 VISUAL DESIGN:
The default color scheme follows intuitive importance levels:
Purple (1000-pip): Macro-level, highest significance
Red (100-pip): Highest importance - major barriers
Orange (50-pip): Medium-high importance - secondary levels
Blue (25-pip): Medium importance - tertiary levels
Green (10-pip): Detailed analysis - precision levels
This traffic-light inspired system allows instant visual recognition of level significance.
📚 EDUCATIONAL VALUE:
Beyond being a trading tool, this indicator serves as an excellent educational resource for understanding market psychology and how professional traders think. It visually demonstrates where the "crowd" is likely to place orders, helping you develop better market intuition.
🔄 CONTINUOUS UPDATES:
This indicator displays levels dynamically based on the current price range, ensuring you always see relevant psychological levels no matter where price moves on the chart.
✨ WHAT MAKES THIS INDICATOR UNIQUE:
Unlike simple horizontal line indicators, this advanced tool offers:
Individual customization for each level type (colors, widths)
Automatic currency pair detection and adjustment
Visual zones (not just lines) for better support/resistance visualization
Extended coverage ensuring levels are always visible
Professional color-coding system for instant level importance recognition
Performance-optimized for handling hundreds of levels simultaneously
⭐ PERFECT FOR ALL TRADING STYLES:
Whether you're a conservative position trader looking at weekly charts or an aggressive scalper on 1-minute timeframes, this indicator adapts to your needs. Simply enable the appropriate level types and adjust the visualization to match your strategy.
Transform your Forex trading with professional-grade psychological level analysis. Add this indicator to your chart today and start trading with the market psychology on your side!
Session Opening Range Breakout (ORBO)This strategy automates a classic Opening Range Breakout (ORBO) approach: it builds a price range for the first minutes after the market opens, then looks for strong breakouts above or below that range to catch early directional moves.
Concept
The idea behind ORBO is simple:
The first minutes after the session open are often highly informative.
Price forms an “opening range” that acts as a mini support/resistance zone.
A clean breakout beyond this zone can lead to high-momentum moves.
This script turns that logic into a fully backtestable strategy in TradingView.
How the strategy works
Opening Range Session
Default session: 09:30–09:50 (exchange time)
During this window, the script tracks:
orHigh → highest high within the session
orLow → lowest low within the session
This forms your Opening Range for the day.
Breakout Logic (after the window ends)
Once the defined session ends:
Long Entry:
If the close crosses above the Opening Range High (orHigh),
→ strategy.entry("OR Long", strategy.long) is triggered.
Short Entry:
If the close crosses below the Opening Range Low (orLow),
→ strategy.entry("OR Short", strategy.short) is triggered.
Only one opening range per day is considered, which keeps the logic clean and easy to interpret.
Daily Reset
At the start of a new trading day, the script resets:
orHigh := na
orLow := na
A fresh Opening Range is then built using the next session’s 09:30–09:50 candles.
This ensures entries are always based on today’s structure, not yesterday’s.
Visuals & Inputs
Inputs:
Opening range session → default: "0930-0950"
Show OR levels → toggle visibility of OR High / Low lines
Fill range body → optional shaded zone between OR High and OR Low
Chart visuals:
A green line marks the Opening Range High.
A red line marks the Opening Range Low.
Optional yellow fill highlights the entire OR zone.
Background shading during the session shows when the range is currently being built.
These visuals make it easy to see:
Where the OR sits relative to current price
How clean / noisy the breakout was
How often price respects or rejects the opening zone
Backtesting & Optimization
Because this is written as a strategy():
You can use TradingView’s Strategy Tester to view:
Win rate
Net profit
Drawdown
Profit factor
Equity curve
Ideas to experiment with:
Change the session window (e.g., 09:15–09:45, 10:00–10:30)
Apply to different:
Markets: indices, FX, crypto, stocks
Timeframes: 1m / 5m / 15m
Add your own:
Stop Loss & Take Profit levels
Time filters (only trade certain days / times)
Volatility filters (e.g., ATR, range size thresholds)
Higher-timeframe trend filter (e.g., only take longs above 200 EMA)
EMA Crossover + Angle + Candle Pattern + Breakout (Clean)+mrit uses 9 15 ema startegy with angle and candle also candle used are pin bar , hammer, full body
mayank raj indicatorit uses 9 and 15 ema strategy with angle so that u dont enter in sideways market also the candle entries are hmmer,pinbar,fullbody
Keltner Hull Suite [QuantAlgo]🟢 Overview
The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes.
🟢 How It Works
The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness:
hullMA = ta.hma(priceSource, hullPeriod)
The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process:
tr = ta.tr(true)
smoothTR = ta.ema(tr, keltnerPeriod)
doubleSmooth = ta.ema(smoothTR, keltnerPeriod)
deviation = doubleSmooth * keltnerMultiplier
Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation:
upperBound = hullMA + deviation
lowerBound = hullMA - deviation
The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound:
if upperBound < trendLine
trendLine := upperBound
if lowerBound > trendLine
trendLine := lowerBound
Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction:
trendUp = trendLine > trendLine
trendDown = trendLine < trendLine
longSignal = trendState == 1 and trendState != 1
shortSignal = trendState == -1 and trendState != -1
The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction.
🟢 How to Use This Indicator
▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment.
▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions.
▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration.
▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring.
▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
