Victor's Price OscillatorOverview
Victor Sperandeo is a legendary trader, market wizard, and author, famed for his trend-following strategies and expertise in technical analysis.
Victor's Price Oscillator is a classic momentum technical indicator focused purely on price action and price change momentum. It measures the strength and direction of underlying price momentum by calculating cumulative short term price differences and their net change over time. This indicator is designed to identify accelerating or decelerating price movement for stocks, indices, commodities and all tradable assets.
Core Calculation Logic
The indicator uses a straightforward and transparent mathematical calculation with no complex formulas, all steps follow the original design completely:
Calculate the price difference for each bar : Current bar closing price minus the closing price from a set number of bars in the past
Sum these individual price differences across a defined lookback period to get a cumulative price change value
Compute the final oscillator reading by subtracting the historical cumulative value (from a set offset period) from the current cumulative value
Plot the net oscillator value as a single line to visually show the trend of price momentum strength
Parameter Quick Intro
Cumulative Period: Defines momentum calculation window
Price Offset: Sets price comparison lag
Signal Offset: Measures net momentum change
Key Interpretation & Usage Guidelines
Positive oscillator values indicate active upward price momentum. The higher the positive value, the stronger and more sustained the upward price movement
Negative oscillator values indicate active downward price momentum. The lower the negative value, the stronger and more sustained the downward price movement
Rising oscillator line shows accelerating price momentum in the current trend direction (bullish momentum strengthening for up trends, bearish momentum strengthening for down trends)
Falling oscillator line shows decelerating price momentum in the current trend direction (bullish momentum weakening for up trends, bearish momentum weakening for down trends)
This oscillator is best used as a momentum confirmation tool. Combine it with trend analysis, support and resistance levels or volume indicators for comprehensive trading decisions and improved accuracy
Indicadores y estrategias
SAR Volume ScalperSAR Volume Scalper is a minimalist intraday scalping indicator designed for 1–2 minute charts, optimized for high-liquidity markets such as NASDAQ (NQ) and Gold (GC).
The indicator combines Parabolic SAR price crossings with a neutral volume participation filter (Volume ≥ EMA(Volume)), ensuring that signals appear only when the market is active, without relying on rare or aggressive volume spikes.
🔑 Core Logic
Parabolic SAR identifies precise micro-trend shifts
Trend EMA filters directional bias and reduces counter-trend trades
Neutral volume filter confirms market participation while preserving signal frequency
ATR-based targets adapt automatically to current volatility
🎯 Designed For
High-frequency scalping on 1–2 minute timeframes
Manual trade execution during active market sessions
Traders who prefer price and flow confirmation over heavy indicator stacking
⚠️ Disclaimer
This indicator is a decision-support tool and should not be used as standalone trading advice.
It is not intended for fully automated trading.
V-Max: Crypto Scaling & Professional Risk Calculator (Public EdiOverview
The V-Max Crypto Scaling & Risk Calculator is a technical risk-management dashboard designed to automate the mathematics of trade execution. It serves as a "Physical Risk Engine," allowing traders to align their position sizing with objective market volatility rather than emotional impulse. This ensures that the dollar-risk per trade remains constant regardless of price volatility or leverage。
Core Technical Logic & Features
This script focuses on the quantitative aspects of capital preservation:
Quantitative Position Sizing Engine: Automatically calculates the precise trade quantity using the formula: $(Total Capital \times Risk \%) / SL Distance$. This keeps the loss exposure fixed for every trade。
Multi-Mode Volatility Stop-Loss: Provides three distinct algorithms for calculating risk boundaries:
3M Range: Based on short-term periodic price range averages。
ATR-Based: Utilizing the Average True Range for smoothed volatility assessment。
Structural Mode: Automatically identifying local swing highs/lows as defensive anchors。
Low-Volatility "Choke Zone" Monitor: The engine monitors current market range against a user-defined threshold. It provides a visual warning when the market enters a "Choke Zone," suggesting that the current volatility is too low for a favorable risk-reward ratio。
Real-time HUD Visualization: Renders a dynamic dashboard and on-chart execution lines (Entry & SL) for immediate tactical awareness。
How to Use
Risk Setup: Enter your total trading capital and preferred risk percentage (e.g., 1.5%) in the settings。
Logic Selection: Select your desired SL source (Range, ATR, or Structural) based on the current market environment。
Execution: Use the calculated "Suggested Quantity" displayed on the dashboard to input into your exchange interface。
產品概述
V-Max 加密貨幣風控計算機 是一款技術性風險管理儀表板，旨在自動化執行紀律所需的複雜計算。它作為一個實時的「物理風險引擎」，幫助交易者將倉位規模與客觀的市場波動率掛鉤，而非憑情緒操作。
核心技術邏輯
定量倉位計算：引擎精確計算交易數量，確保每筆交易的美元風險始終保持恆定。
多模式波動率止損：提供三種不同邏輯（3M Range, ATR, 結構高低點）來計算風險邊界。
低波動「窒息區」監控：當市場進入波動極低的「窒息區」時發出警告，提醒交易者目前的風險報酬比統計上不利。
Access & Support
This script is published as a Free Public Utility in the TradingView Library. Disclaimer: Past performance does not guarantee future results. This tool provides technical analysis only and does not offer financial advice.
Breakout Liquidity Strategy//@version=5
indicator("Breakout Liquidity Strategy", overlay=true)
// ===== Inputs =====
lenVol = input.int(20, "Volume MA")
lenMFI = input.int(14, "MFI Length")
// ===== Indicators =====
volMA = ta.sma(volume, lenVol)
mfi = ta.mfi(hlc3, lenMFI)
vwap = ta.vwap(close)
// ===== Conditions =====
liquidityIn = mfi > 50 and volume > volMA
priceBreak = close > ta.highest(high, 20)
aboveVWAP = close > vwap
breakout = liquidityIn and priceBreak and aboveVWAP
// ===== Plot =====
plotshape(breakout, title="BREAKOUT", style=shape.labelup,
location=location.belowbar, color=color.new(color.green, 0), text="🚀")
plot(vwap, color=color.orange, linewidth=2, title="VWAP")
KTBB Intel: Multi-Timeframe ContextKabroda Intel
This is the official structural companion tool for the Kabroda System. While the "BattleBox Command" script handles specific intraday execution levels, this Kabroda Intel utility visualizes Multi-Timeframe Market Structure to provide broader context.
How It Works (Technical Logic): This script automates the analysis of higher-timeframe structure using standard Pivot High/Low logic, preventing the need for traders to manually switch timeframes.
Scanning: It utilizes request.security() to scan the user-defined Primary (default: 4H) and Secondary (default: 1H) timeframes.
Calculation: It identifies significant structural pivots using ta.pivothigh and ta.pivotlow functions with a customizable lookback period.
Data Integrity: It uses barmerge.lookahead_on with specific index offsets to ensure the data is non-repainting and represents confirmed closed-candle structure only.
Key Features:
Macro Context: Projects 4-Hour Supply & Demand zones directly onto your 5m or 15m execution chart.
Intraday Structure: Highlights 1-Hour breakdown/breakout levels that often act as "speed bumps" for intraday trends.
Zone Visualization:
Red Zones: 4H Supply / Major Resistance.
Green Zones: 4H Demand / Major Support.
Orange/Blue Zones: 1H Intraday Pivots.
Usage Guide:
Step 1: Add this indicator to your chart.
Step 2: Ensure it is running alongside the Kabroda BattleBox Command script.
Step 3: Use these zones as "Caution Areas." Do not execute trades directly into a Red 4H Zone, even if your lower timeframe triggers suggest a breakout. Context overrides execution.
Disclaimer: This tool is for structural analysis only. It identifies historical pivot points and projects them forward as potential areas of interest.
Elite Cumulative Volume Delta OscillatorOverview
The Elite CVD+ is a premium-grade, session-resettable Cumulative Volume Delta indicator designed exclusively for professional futures and volume-profile traders. By focusing on the cleaner and more actionable Line-Focused mode, it transforms raw order flow data into a precise decision engine that reveals institutional buying/selling pressure, absorption, exhaustion, and high-probability reversal/continuation zones.
Unlike standard CVD tools that accumulate indefinitely or reset awkwardly, this version resets cleanly at your chosen anchor period (default daily) while pulling granular delta from lower timeframes when desired. The result: a smooth, non-repainting line that highlights real-time shifts in aggressive participation without the noise of perpetual accumulation.
Why This Indicator Is Elite-Level Useful
True Institutional Footprint
Cumulative Volume Delta measures the net aggressive buying (bid hits) vs. selling (ask hits). Sustained positive CVD = buyers in control; negative = sellers dominating. When price makes new highs on weakening CVD → classic bearish divergence signaling distribution. The session reset prevents old data from distorting current conviction, making divergences far more reliable than perpetual CVD.
Early Reversal Detection via Absorption & Extremes
Absorption highlighting flags scenarios where heavy delta pushes against price but price refuses to follow (e.g., massive selling into lows yet price holds or closes higher) — textbook trapping/retail stop-hunting.
Session CVD extremes with dynamic test zones pinpoint where aggressive flow is exhausted. Price returning to test these levels often produces high-R:R reversals.
Confluence-Rich Signals
Dual EMAs provide trend/filter context (crossovers, zero-line bounces). Dynamic coloring instantly shows momentum strength. Extreme single-bar delta highlights climax buying/selling. Built-in regular + hidden divergences align order flow with price structure.
Multi-Timeframe Consistency
Optional custom lower-TF delta fetch ensures the same granular data regardless of chart timeframe — critical for traders who switch between 1-min execution charts and 15-min/1H analysis charts.
Clean, Low-Lag Visuals
Thick CVD line with intelligent coloring, subtle backgrounds, persistent extreme lines, and optional labels keep the pane readable even during fast markets. No clutter from inferior candle representations.
How Professional Traders Use Elite CVD+ Most Successfully
Primary Setup Framework
Use on futures with reliable volume delta (ES, NQ, YM, CL, GC, etc.). Best timeframes: 3–15 minutes for intraday, 1H–4H for swing. Combine with price action structure (order blocks, fair value gaps, market profile highs/lows).
Practical Tips for Maximum Edge
Anchor Period: '1D' for regular session trading (resets at 00:00 exchange time). Use '1W' for weekly bias or '4H' for London/NY session-specific flow.
Lower Timeframe Delta: Enable custom and set to '1' or '3' for maximum granularity on indices. Leave disabled on higher charts for smoother read.
Absorption Tuning: Raise threshold to 80–90 on volatile instruments (NQ) to filter noise; lower to 70 on quieter ones (CL, GC).
Divergences: Most powerful on 15M+. Disable hidden on very low TFs if too noisy.
Alerts: Use the master “Any Event” alert for push/email/webhook notifications of zero crosses or new extremes — perfect for mobile monitoring.
Combination Tools: Pair with session VWAP, volume profile (fixed range at highs/lows), or psychological levels for triple confluence.
CME Quarterly ShiftsCME Quarterly Shifts - Institutional Quarter Levels
Overview:
The CME Quarterly Shifts indicator tracks price action based on actual CME futures contract rollover dates, not calendar quarters. This indicator plots the Open, High, Low, and Close (OHLC) for each quarter, with quarters defined by the third Friday of March, June, September, and December - the exact dates when CME quarterly futures contracts expire and roll over.
Why CME Contract Dates Matter:
Institutional traders, hedge funds, and large market participants typically structure their positions around futures contract expiration cycles. By tracking quarters based on CME rollover dates rather than calendar months, this indicator aligns with how major institutional players view quarterly timeframes and position their capital.
Key Features:
✓ Automatic CME contract rollover date calculation (3rd Friday of Mar/Jun/Sep/Dec)
✓ Displays Quarter Open, High, Low, and Close levels
✓ Vertical break lines marking the start of each new quarter
✓ Quarter labels (Q1, Q2, Q3, Q4) for easy identification
✓ Adjustable history - show up to 20 previous quarters
✓ Fully customizable colors and line widths
✓ Works on any instrument and timeframe
✓ Toggle individual OHLC levels on/off
How to Use:
Quarter Open: The opening price when the new quarter begins (at CME rollover)
Quarter High: The highest price reached during the current quarter
Quarter Low: The lowest price reached during the current quarter
Quarter Close: The closing price from the previous quarter
These levels often act as key support/resistance zones as institutions reference them for quarterly performance, rebalancing, and position management.
Settings:
Display Options: Toggle quarterly break lines, OHLC levels, and labels
Max Quarters: Control how many historical quarters to display (1-20)
Colors: Customize colors for each level and break lines
Styles: Adjust line widths for OHLC levels and quarterly breaks
Best Practices:
Combine with other Smart Money Concepts (liquidity, order blocks, FVGs)
Watch for price reactions at quarterly Open levels
Monitor quarterly highs/lows as potential targets or stop levels
Use on higher timeframes (4H, Daily, Weekly) for clearer institutional perspective
Pairs well with monthly and yearly levels for multi-timeframe confluence
Perfect For:
ICT (Inner Circle Trader) methodology followers
Smart Money Concepts traders
Swing and position traders
Institutional-focused technical analysis
Traders tracking quarterly performance levels
Works on all markets: Forex, Indices, Commodities, Crypto, Stocks
ADR SQUEEZEADR SQUEEZE – Volatility Compression & Expansion
ADR SQUEEZE is a volatility-based indicator that uses Average Daily Range (ADR) to identify price compression (squeeze) and range expansion phases.
It compares the daily % price change with ADR-derived thresholds to classify market conditions.
Marker Meanings (Plotted on Zero Line)
Pink Dot – Tight Squeeze
Price movement is significantly smaller than normal ADR.
Indicates strong volatility contraction and energy buildup.
Yellow Dot – Mild Squeeze
Price movement is increasing but still below full ADR.
Often appears just before expansion.
Green Cross – Expansion Up
Price change exceeds ADR to the upside.
Signals strong bullish range expansion.
Red Cross – Expansion Down
Price change exceeds ADR to the downside.
Signals strong bearish range expansion.
How to Use
Watch for extended pink dots as early compression zones
Yellow dots often mark transition from squeeze to move
Green / Red crosses confirm directional expansion
Best used with price structure, breakouts, and trend context
HTF Candles on Lower Timeframes (Manual OHLC)Hi everyone, this indicator is designed to plot higher timeframes candles on the chart. Here are the details:
The data is built directly from OHLC values at specific time intervals, instead of using request.security.
It supports 1H / 2H / 4H / 8H / 1D higher timeframes, and can be viewed on lower timeframes such as 5m / 10m / 15m / 30m.
The main idea behind this chart is to serve as a foundation for building other indicators that need to operate on higher timeframes while still being visualized on lower timeframes.
Feel free to share your feedback or ideas for improvement in the comments below.
Stock Breakout (Liquidity + Breakout)//@version=5
indicator("Stock Breakout (Liquidity + Breakout)", overlay=true)
// ===== Inputs =====
lenRange = input.int(20, "Consolidation Length")
lenVol = input.int(20, "Volume MA")
lenMFI = input.int(14, "MFI Length")
// ===== Indicators =====
rangeHigh = ta.highest(high, lenRange)
volMA = ta.sma(volume, lenVol)
mfi = ta.mfi(hlc3, lenMFI)
vwapLine = ta.vwap(close)
// ===== Conditions =====
liquidityIn = mfi > 50 and volume > volMA
priceBreak = close > rangeHigh
aboveVWAP = close > vwapLine
breakout = liquidityIn and priceBreak and aboveVWAP
// ===== Plot =====
plotshape(breakout, title="BREAKOUT",
style=shape.labelup, location=location.belowbar,
color=color.new(color.green, 0), text="")
plot(vwapLine, color=color.orange, linewidth=2, title="VWAP")
Kabroda BattleBox Command [Renderer]Kabroda BattleBox Command
This is a specialized visualization utility designed to render pre-calculated institutional price levels on your chart. It is intended for traders who utilize the Kabroda Daily Calibration method to define their intraday execution framework.
How it Works: This script does not calculate levels internally. Instead, it serves as a "renderer" for external data.
Input: The user inputs a comma-separated data string (generated daily via their Kabroda Dashboard calibration) into the settings.
Parsing: The script parses this string to extract 6 key price coordinates: Daily Resistance, Breakout Trigger, Breakdown Trigger, Daily Support, and the 30-minute Opening Range High/Low.
Visualizing: It projects these levels forward in time for the current trading session.
Key Features:
Execution Levels: Plots specific Breakout and Breakdown triggers derived from the opening 30-minute volatility.
Liquidity Sessions: Automatically highlights key global trading hours (London Open, NY AM, NY PM, Tokyo, Sydney) based on New York Time, helping traders visualize volume injection points.
Imbalance Zones (Optional): Identifies and highlights market imbalances created by aggressive buying or selling, which often act as magnets for price re-tests.
Usage Guide:
Step 1: Obtain your daily data string.
Step 2: Open Indicator Settings -> "Daily Calibration".
Step 3: Paste the string into the "Paste Data String" field.
Step 4: The script will instantly render the day's battle map.
Disclaimer: This tool is a visualization aid. It requires valid external data to function. Without the daily input string, the chart will remain blank.
FX-CLINIC MARKET STRUCTUREThis indicator help the treaders by SMC/ICt to mark the structure MSS/BOS automatically, and you can choose the length of the structure as 5 for fractal, 10 for internal and 15 for external
use it free
note: check your information and correct the structure as you know,
it is first edition and go to upgrade and correct
feel free to sent any note in telegram
privet: @DRALIAWWAD
and the public channel: @ictdrawwad
MES ORB Bulletproof + PSAR + SMA200 + BB(21) by PantelisMES ORB Bulletproof + PSAR + SMA200 + BB(21) by Pantelis
False Breakdown Long Confirm (dropthoughcashin)// =============================================================================
// EN — Script Introduction
// Name: False Breakdown Long Confirm (dropthoughcashin)
// Timeframe: Designed for 5-minute charts (works on other TFs but tuned for 5m)
//
// What this script does:
// This indicator detects a “false breakdown” (liquidity sweep) below a support
// level, followed by a reclaim and a retest-hold confirmation. When confirmed,
// it prints a label and triggers the alert condition: dropthoughcashin.
//
// Core logic (3 steps):
// 1) Define the support level (Key Level):
// - Pivot mode: uses the latest confirmed pivot low as support.
// - Manual mode: uses your manually entered support level.
// 2) False breakdown + reclaim:
// - Price sweeps below support (low < support),
// - The sweep must be shallow (limited by ATR multiple or fixed points),
// - Then price reclaims: close back above the support.
// 3) Retest-hold confirmation (within N bars after reclaim):
// - Price retests near the support (low <= support + tolerance),
// - And closes at/above the support (hold),
// - If confirmed within the window, signal triggers once.
//
// Key parameters:
// - Max Penetration: filters out “deep breakdowns” you do NOT want.
// - Retest tolerance: how close price must retest the support.
// - Confirm within N bars: time limit to confirm after reclaim.
//
// Notes / Limitations:
// - Pivot support is lagging by design (pivot is confirmed after pLen bars).
// - This is a signal/alert tool, not a full trading strategy.
// =============================================================================
//
// 中文 — 脚本介绍
// 名称：False Breakdown Long Confirm（dropthoughcashin）
// 周期：主要为 5分钟K 设计（其他周期也能用，但默认参数以 5m 优化）
//
// 脚本作用：
// 本指标用于识别“假跌破（扫流动性/扫止损）”形态：价格先刺破支撑位，随后快速收回
// 并在短时间内回踩踩住，形成做多确认。确认后会在图上打标签，并触发提醒条件：
// dropthoughcashin。
//
// 核心逻辑（3步）：
// 1) 定义支撑位（Key Level）：
// - Pivot 模式：用最近确认的 pivot low（局部低点）作为支撑。
// - Manual 模式：用你手动输入的固定支撑价位。
// 2) 假跌破 + 收回（reclaim）：
// - 价格最低点刺破支撑（low < 支撑），
// - 但下穿幅度必须“浅”（用 ATR 倍数或固定点数限制），
// - 随后收盘重新站回支撑上方（close > 支撑）。
// 3) 回踩踩住确认（retest-hold）：
// - 在收回之后的 N 根K内，价格回踩到支撑附近（low <= 支撑 + 容忍），
// - 且收盘守住支撑（close >= 支撑），
// - 满足则触发一次信号与提醒。
//
// 关键参数说明：
// - Max Penetration（最大下穿深度）：过滤掉“下穿太深”的破位，避免误触发。
// - Retest tolerance（回踩容忍范围）：定义回踩要贴近支撑到什么程度。
// - Confirm within N bars（确认窗口）：收回后限定多少根K内必须完成回踩确认。
//
// 注意事项：
// - Pivot 支撑位天然滞后（需要 pLen 根K确认后才成立），属于“稳但晚”的设计。
// - 该脚本是信号/提醒工具，不是完整的交易策略（不包含止损止盈与仓位管理）。
VWAP Breakout NY Open Only vwap breakout targeting multiday taking only 2 trades per day in the first 2 hours of ny session
NQ Command Center [EOD Predictor]This is a sophisticated Macro-correlated Dashboard designed specifically for trading NQ (Nasdaq 100). It attempts to predict how the daily candle will close (Green or Red) by combining Price Action (Market Structure) with External Market Drivers (Yields, Volatility, Dollar, and Breadth).
How This Script Works
The script assigns a "Score" to current market conditions. The higher the score, the more bullish the prediction. The lower the score, the more bearish.
1. The "Structure" Score (Price Action) It looks at the Daily High/Low (PDH/PDL) and recent daily trend:
Bullish (+1): We are making Higher Highs/Higher Lows, or price is holding in the top 33% of yesterday's range.
Breakout (+2): Price has broken above the Previous Daily High (PDH).
Bearish (-1/-2): We are making Lower Highs, or price has broken below the Previous Daily Low (PDL).
2. The "Macro" Score (External Data) It pulls data from 5 external tickers to see if the environment supports a move:
ADDQ (Breadth): If > 0, more stocks are advancing than declining (Bullish).
VXN (Volatility): If falling, fear is decreasing (Bullish).
DXY (Dollar) & US10Y (Yields): If these are dropping, it is usually good for Tech/Nasdaq (Bullish).
CVD (Volume): Estimates if volume is dominated by buyers or sellers.
3. The Prediction (The Output) It sums these scores.
Total Score ≥ 4: "STRONG GREEN CLOSE 🚀" (High confidence Longs)
Total Score ≤ -4: "STRONG RED CLOSE 🩸" (High confidence Shorts)
Near 0: "CHOP / NEUTRAL" (Avoid trading or take quick scalps).
How to Use It Effectively
Symbol: Open a chart for NQ1! (Nasdaq Futures) or NDX.
Timeframe: This is designed for Intraday trading. Use 5m, 15m, or 1h charts. (Do not use on Daily chart, as the table lines up intraday data against daily history).
The Dashboard: Look at the table in the top right.
Focus on "AI Forecast": If it says STRONG GREEN, look for Long setups (pullbacks to support).
Check Confidence: If Confidence is "LOW", the macro data might be conflicting with price action (e.g., Price is going up, but Volume is selling). Be careful.
The Lines: The script plots Green (PDH) and Red (PDL) lines on your chart.
These are key reaction points. If price breaks the Green line, the "Live Status" on the dashboard will switch to BREAKOUT.
Cumulative Day-Over-Day VWAPDay Over Day VWAP "MultiDay VWAP" It keeps a log of session vwap and marks it as a day over day vwap on your chart
Ocean Master [JOAT]Ocean Master QE - Advanced Oceanic Market Analysis with Quantum Flow Dynamics
Overview
Ocean Master QE is an open-source overlay indicator that combines multiple analytical techniques into a unified market analysis framework. It uses ATR-based dynamic channels, volume-weighted order flow analysis, multi-timeframe correlation (quantum entanglement concept), and harmonic oscillator calculations to provide traders with a comprehensive view of market conditions.
What This Indicator Does
The indicator calculates and displays several key components:
Dynamic Price Channels - ATR-adjusted upper, middle, and lower channels that adapt to current volatility conditions
Order Flow Analysis - Separates buying and selling volume pressure to calculate a directional delta
Smart Money Index - Volume-weighted order flow metric that highlights potential institutional activity
Harmonic Oscillator - Weighted combination of 10 Fibonacci-period EMAs (5, 8, 13, 21, 34, 55, 89, 144, 233, 377) to identify trend direction
Multi-Timeframe Correlation - Measures price correlation across 1H, 4H, and Daily timeframes
Wave Function Analysis - Momentum-based state detection that identifies when price action becomes decisive
How It Works
The core channel calculation uses ATR with a configurable quantum sensitivity factor:
float atr = ta.atr(i_atrLength)
float quantumFactor = 1.0 + (i_quantumSensitivity * 0.1)
float quantumATR = atr * quantumFactor
upperChannel := ta.highest(high, i_length) - (quantumATR * 0.5)
lowerChannel := ta.lowest(low, i_length) + (quantumATR * 0.5)
midChannel := (upperChannel + lowerChannel) * 0.5
Order flow is calculated by separating volume into buy and sell components based on candle direction:
The harmonic oscillator weights shorter EMAs more heavily using inverse weighting (1/1, 1/2, 1/3... 1/10), creating a responsive yet smooth trend indicator.
Signal Generation
Confluence signals require multiple conditions to align:
Bullish: Harmonic oscillator crosses above zero + positive Smart Money Index + positive Order Flow Delta
Bearish: Harmonic oscillator crosses below zero + negative Smart Money Index + negative Order Flow Delta
Dashboard Panel (Top-Right)
Bias - Current market direction based on price vs mid-channel
Entanglement - Multi-timeframe correlation score (0-100%)
Wave State - COLLAPSED (decisive) or SUPERPOSITION (uncertain)
Volume - Current volume relative to 20-period average
Volatility - ATR as percentage of price
Smart Money - Volume-weighted order flow reading
Visual Elements
Ocean Depth Layers - Gradient fills between channel levels representing different price zones
Channel Lines - Upper (surface), middle, and lower (seabed) dynamic levels
Divergence Markers - Triangle shapes when harmonic oscillator crosses zero
Confluence Labels - BULL/BEAR labels when multiple factors align
Suggested Use Cases
Identify trend direction using the harmonic oscillator and channel position
Monitor order flow for potential institutional activity
Use multi-timeframe correlation to confirm trade direction across timeframes
Watch for confluence signals where multiple factors align
Input Parameters
Length (default: 14) - Base period for channel and indicator calculations
ATR Length (default: 14) - Period for ATR calculation
Quantum Depth (default: 3) - Complexity factor for calculations
Quantum Sensitivity (default: 1.5) - Channel width multiplier
Timeframe Recommendations
Works on all timeframes. Higher timeframes (4H, Daily) provide smoother signals; lower timeframes require faster reaction times and may produce more noise.
Limitations
Multi-timeframe requests add processing overhead
Order flow estimation is based on candle direction, not actual order book data
Correlation calculations require sufficient historical data
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before trading.
- Made with passion by officialjackofalltrades
E9 MTF Candle Array E9 MTF Candle Array plots up to six selectable higher-timeframe candle sets (e.g., H1/H4/D1/W1) as “mini candles” stacked to the right of your chart for fast multi-TF context. For each HTF, it also draws a shaded High–Low range box on the main chart that spans the candle’s time window and updates in real time as the current HTF candle forms, then “locks” the prior box when a new HTF candle opens. Optional features include HTF labels and countdown timers, Open/Close/High/Low trace lines with price labels, day/interval markers, and imbalance highlighting (FVG/VI) on the displayed HTF candle array.
*Work in progress.
Victor's Market Breadth OscillatorDescription
This is a classic market breadth technical indicator designed to measure the underlying strength and momentum of the broader stock market. The indicator evaluates market health by analyzing the cumulative difference between the number of advancing stocks and declining stocks traded on the market. It provides clear signals of market breadth trend and momentum.
Core Calculation Logic
Fetch the real time data of advancing stocks and declining stocks using the assigned ticker symbols
Calculate the net market breadth value which equals the number of advancing stocks minus declining stocks
Compute the Fast Line as the cumulative sum of the net breadth value over the set short term period
Compute the Slow Line as the cumulative sum of the net breadth value over the set long term period, then normalize the value by dividing by three and rounding to a whole integer
Plot two distinct lines to visually reflect the short term and long term market breadth momentum
Usage Guidelines
The indicator readings reflect the internal strength of the overall market.
Higher indicator values mean stronger upward market breadth with more stocks participating in the rally and healthy bullish momentum.
Lower indicator values mean stronger downward market breadth with more stocks participating in the decline and increasing bearish momentum.
This is a market breadth auxiliary indicator. For optimal results, use it in combination with price trend analysis and volume indicators for comprehensive market judgment
Adjustable Input Parameters
Advancing Stocks Ticker : The ticker symbol for the number of advancing stocks in the market
Declining Stocks Ticker : The ticker symbol for the number of declining stocks in the market
Fast Summation Period : Short term cumulative calculation length for the Fast Line
Slow Summation Period : Long term cumulative calculation length for the Slow Line.
