LR Candles V2.1IMPORTANT: Use this strategy only with Heikin Ashi candles; otherwise, the results will be negative.
The use of this strategy is solely and exclusively under the responsibility of the operator.
To perform testing correctly and as close to market reality as possible, we suggest setting the strategy preferences as follows:
Slippage = 3
Using bar magnifico = Enabled
Commission = Completed
Detail: It is important to include at least 1,000 trades in the test. This provides a certain robustness in the historical analysis of a strategy. Values lower than this may alter the expected results when trading in real life.
Tip:
Play around with different time frames and calibrations on the strategic indicator. Examples include unchecking Ling-Reg, unchecking EMA, or using both in combination. Look for the best probability and results for a specific asset.
The strategy usually performs well on time frames longer than 1 hour; this is what has been observed.
指標和策略
Nested MA Envelopes HarmonicThe Nested MA Envelopes Harmonic is a custom TradingView Pine Script indicator that overlays a series of nested envelopes around exponentially increasing simple moving averages (SMAs). These SMAs use lengths that double successively (e.g., 25, 50, 100, 200, up to 3200, starting from a user-defined power-of-2 base). Each envelope is offset by deviations that follow a harmonic/octave structure (multipliers of ×1, ×2, ×4, ×8, ×16, ×32, ×64, ×128).The deviation can be set in fixed points or as a true percentage of price, with an optional auto-calibration mode that dynamically adjusts the multiplier based on historical price behavior and ATR to target a specified percentage of bars staying within the innermost envelope. The envelopes feature customizable colors, shaded zones between levels, touch counters, cycle number labels on band touches (with cooldown), and optional centering.This creates a visually layered "harmonic" channel system resembling octave bands, helping identify multi-scale support/resistance zones.
Use CaseTraders use this indicator to visualize price action across multiple time scales simultaneously, treating the nested bands as harmonic levels of volatility or mean reversion zones. Inner envelopes (levels 1–3) capture short-term fluctuations and potential overbought/oversold conditions.
Outer envelopes (levels 6–8) act as major support/resistance during strong trends or reversals.
The cycle labels mark significant touches of higher-level bands (e.g., a "7" or "8" label signals rare extreme extensions, often preceding reversals). It suits mean-reversion strategies (buy near lower bands, sell near upper), trend confirmation (price hugging mid-levels), or breakout alerts when price pierces outer zones. The auto mode adapts to changing volatility, making it versatile for stocks, forex, crypto, or futures on various timeframes.
Personal use - set on your favorite instrument and set to auto mode. Make note of the level picked in bottom right corner. Then switch to manual mode and use the same multiplier that auto used to get you in the right sizing ballpark. The goal is to capture 95% of pricing within the smallest envelope. The what you will see is you can quantify various tops and bottoms. A 1st order (hitting the top/bottom of the smallest envelope) hit is not as important as a 2nd or 3rd order hit. Generally 1st order is informational and 2-5 is actionable. 6-8 would be a unicorn and you should act accordingly. You can use points or % for the spacing.
Proactive Execution MachineProactive Execution Machine: Multi-State Momentum Engine
Overview
The Proactive Execution Machine is a comprehensive trading workspace designed to filter market noise and highlight high-probability execution windows. It combines Dynamic Supply/Demand Zones, Manual Level Proximity, and a proprietary Dual-Candle Momentum Scoring system to categorize the market into specific "States" in real-time.
Instead of a simple arrow, this script provides a System Status dashboard that tells you exactly what phase the market is in—whether it's "Level Absorption," a "Demand Vortex," or a "Tired Trend. "Core Components
1. The Momentum Gauge (Bottom Left)
This table provides a deep-dive into order flow by scoring the last two candles based on:
Close Location: Where price closed relative to its range (Upper, Middle, Lower).
Body-to-Wick Ratio: Measuring the "effort vs. result" of the move.
Range Relativity: Whether the current bar is an "Inside" or "Outside" bar relative to the previous candle.
Slope (Linear Regression): A real-time trendline of momentum strength to see if conviction is accelerating or decelerating.
2. Dynamic State Engine The script automatically identifies and colors the chart into three primary zones:
Supply Zone (Red): The upper 30% of the recent price discovery range.
Demand Zone (Green): The lower 30% of the recent price discovery range.
Proximity Zones: When price nears your Manual Levels (PDH, PDL, NY Open, etc.), the engine switches priority to monitor for "Breakouts" or "Level Attacks."
3. System Status (Bottom Right)The dynamic HUD changes size and color based on conviction levels. It will notify you of specific market conditions:
Supply/Demand Overrun: When momentum is so strong it is smashing through reversal zones. Level Absorption/Stalling: When price reaches a key level but momentum has "flattened," suggesting a potential reversal or high-volume churn.
Buy/Sell Now: High-conviction signals triggered only when Location (Zone) and Momentum (Score) align.
How to Trade with the "Machine"
For Trend Followers: Look for the status "TREND (ACTIVE)" combined with a Momentum Score of $\pm 4$ or higher.
For Reversion Traders: Watch for "WATCH LONGS/SHORTS" when price enters a Supply or Demand zone. Wait for the status to flip to "BUY/SELL NOW" as momentum begins to shift back toward the mean.
For Level Traders: Input your daily levels (VAH, VAL, POC) in the settings. The machine will automatically prioritize these levels, changing status to "AT LEVEL" the moment price enters your specified proximity.
Key Settings
Manual Levels: Input up to 5 custom price levels for the proximity engine.
Proximity Sensitivity: Adjust how close price must be to a level (in points/pips) to trigger an "At Level" state.
Aggression (1-5): Tuning the pivot detection. Lower numbers respond faster to micro-structure; higher numbers focus on major swing points.
Visual Coding
Candle bodies are colored to assist with single candle pattern detection:
Lime/Pink Bar Highlights: The script uses a custom color engine to highlight "Shaved" (Marubozu) bars.
Lime indicates aggressive bullish conviction, while Pink (Fuchsia) highlights aggressive bearish conviction.
Green indicates bull engulfing candle
Red indicates bear engulfing candle
Orange is an outside bar
Yellow an inside bar
Gray a Doji bar
Black all other bars
Dynamic Zones: The chart features two primary background areas:
Red Zone (Top): The Supply Zone, identifying where sellers historically reclaim control.
Green Zone (Bottom): The Demand Zone, identifying where buyers historically step in.
System Status HUD (Bottom Right): This is the "brain" of the machine. The text size is adjusted to attract the trader's attention when the slope of the momentum increases above 5 (bullish expansion) or greater than - 5 (Bearish expansion). The system status changes color based on the market state too:
HUD Coloring:
Aqua: Active Bullish Trend.
Gray: Bull trend tired.
Orange: Active Bearish Trend.
Gray: Bear trend tired.
Red: For sell now.
Green: For buy now.
Lime: Bull price level under attack.
Marron: Bear price level under attack.
Gray: Price level absorption.
Yellow: Price at level and stalling.
Maroon: An "Overrun" or "Vortex" where price is smashing through supply/demand with extreme momentum.
The text size serves as a "Volatility Alarm." * When the text is Small, the market is in a "sideways" or "absorbing" state. You should be cautious about entering new trend trades.
When the text is Large, the Machine has detected that "Aggressive" participants have entered the order flow. This is your cue that a "Level Attack" or a "Trend Breakout" is currently in progress.
The 1-Minute Tactical Setup Guide:
Proactive Execution Machine Operating on the 1-minute (1m) timeframe requires a balance between speed and noise filtration. Because the Proactive Execution Machine uses a "State Engine" logic, it is uniquely suited for the high-velocity environment of the NY Open.
I follow these three tactical steps to optimize the chart for the 1m timeframe:
Step 1: Calibrate the "Proximity Sensitivity" On a 1m chart, a "Level" isn't a single price—it's a zone.
Adjustment: In the script settings, set your Proximity Sensitivity to a value that represents the average "noise" of your instrument.
For ES (S&P 500 Futures): 1.5 to 2.5 points.
For NQ (Nasdaq Futures): 5 to 10 points.
For Forex (EURUSD): 1 to 2 pips.
The Goal: You want the "AT LEVEL" status to trigger just as price is "sniffing" the level, giving you time to prepare your order before the touch.
Step 2: Watch the "History" Column in the Momentum Gauge
The bottom-left table is your most important tool for the 1m chart. It shows you the momentum of the last three bars ($T-0$, $T-1$, $T-2$).
Momentum Sequence: Look for a "Sequence of Three." If you see $T-2$ (Neutral), $T-1$ (Long), and $T-0$ (STR Long), you have a momentum explosion.
The Trap: If you see STR LONG followed immediately by a NEUTRAL bar while in a Supply Zone, the "Machine" will shift to "SUPPLY STALLING." This is your signal to tighten your trailing stop or take profit—it means the bulls are hitting a wall of sell orders.
Step 3: The "Level Attack" Execution
The script features a unique state called "LEVEL ATTACK." This is designed specifically for breakout/breakdown traders.
The Setup: Price is approaching a Manual Level (like the NY Open or PDH).
The Signal: If the status changes to "LEVEL ATTACK (BULL)," it means the momentum score is high ($>3$) and the slope is positive while within the proximity of the level.
The Action: This is a "Proactive" entry. Instead of waiting for the candle to close above the level, you are entering as the "Machine" detects institutional pressure "attacking" the level.
Daily Routine for the "Machine"
1) 09:25 AM: Input your 5 manual levels (PDH, PDL, NY Open, VAH, VAL).
2) 09:30 AM: Wait for the first 5 minutes of volatility to settle.
3) The Window: Look for the System Status to move from "IDLE" to a colored state.
4) The Trigger: Never take a signal if the Momentum Gauge is in the "Neutral" (Yellow) zone. Only execute when the gauge shows LONG/SHORT or STR LONG/STR SHORT.
Auto Liquidity Sweep Trendlines With BuySell alerts By V JhaThis automatic trendline system gives buy and sell alerts as well. But you must choose to buy at bottom and sell at top, or in tune with high time frame. This works perfect when used in alignment with HTF.
Points used to draw these trendlines are not ordinary wicks, rather they are liquidity points of huge importance. This trendline system removes any need for mannual tredline drawing.
MTF Auto Fibs + All Levels [Clean]auto fib off whatever higher time frame you want! Helps you seen levels faster and with out switch time frames
Yearly Projection ExplorerThis indicator helps you understand how the current market period has behaved historically by overlaying the same date window from previous years and projecting it forward from today’s price.
The script works the following way:
Aligns past years to today’s calendar date
Normalizes all paths to the last close at the start
Projects historical performance X bars forward
Displays each year as a separate performance path
Calculates and plots the mean (average) projection for quick reference
🔧 How It Works
Number of Years: choose how many past years to include (e.g. last 10, 20, or 25 years)
Projection Length: choose how many bars (days) ahead to project
Each line shows how the market moved during the same period in a specific year
Labels show the year and total return at the projection end
The mean line highlights the average historical outcome
🧠 Why This Is Useful
Identify seasonal tendencies
Compare current price action to historical analogs
Visualize best / worst historical outcomes
Set realistic expectations for short-term moves
Add context to discretionary or systematic decisions
This tool does not predict the future, but it provides a powerful historical framework to assess what has been typical, rare, or extreme for the current market window.
⚠️ Notes
Script works on timenow variable for now, and you might see unexpected periods if today is a day off.
Results depend on the selected timeframe and instrument
Past performance is not a guarantee of future results
Designed for analysis and context, not standalone signals
Candle Boxes (Border + Midline + Open level)📦 Candle Boxes (Border + Midline + Open Level)
Candle Boxes is a visual multi-timeframe (HTF) tool designed to display higher-timeframe candle structure directly on a lower-timeframe chart.
It helps traders understand HTF context without constantly switching between timeframes.
🔍 What this indicator displays
For each HTF candle, the indicator draws:
HTF Box
Top = HTF High
Bottom = HTF Low
Horizontal span = full HTF candle duration
Border color
Bullish HTF candle → bullish color
Bearish HTF candle → bearish color
Midline (50%) – optional
Exact midpoint of the HTF range: (High + Low) / 2
HTF Open level – optional
Horizontal line at the HTF candle open price
All elements are drawn without background fill to keep the chart clean and readable.
⏱ Multi-Timeframe logic
HTF is selected using the HTF (box timeframe) input
Data is retrieved via request.security() with no repainting
Levels update only while the HTF candle is forming
Once the HTF candle closes, its box and lines remain fixed
🧠 Intended use
This indicator is designed for:
visualizing higher-timeframe context on lower charts
analyzing HTF structure without changing timeframe
supporting:
support & resistance analysis
price action studies
intraday and swing trading context
This tool does not generate buy/sell signals and is not a trading strategy.
⚙️ Settings
HTF & history
HTF (box timeframe) – higher timeframe used to build boxes
Keep last HTF boxes – number of most recent HTF boxes to keep
used to comply with TradingView object limits
the script automatically removes the oldest boxes and lines
Visual options
Border (on/off, width, transparency, colors)
Midline (on/off, colors, transparency)
HTF Open line (on/off, color, width, transparency)
⚠️ Important notes
TradingView enforces strict limits on drawn objects (boxes and lines)
This indicator is optimized to:
display as much historical data as technically possible
automatically manage and delete older objects
Higher HTF → fewer boxes visible in history
Lower HTF → more boxes, faster object-limit usage
🔁 Suggested Timeframe Combinations
This indicator is designed to work best when the selected HTF is significantly higher than the chart timeframe.
Below are practical, commonly used combinations:
Intraday trading
Chart: 5m → HTF: 1H
Chart: 15m → HTF: 4H
Useful for identifying higher-timeframe structure during active trading sessions.
Swing trading
Chart: 30m → HTF: 4H
Chart: 1H → HTF: Daily
Helps visualize major HTF ranges and key levels while managing trades over multiple days.
Higher-timeframe analysis
Chart: 1H → HTF: Weekly
Chart: 4H → HTF: Weekly
Best suited for understanding broader market context, range behavior, and HTF price positioning.
General guideline
A 4× to 8× ratio between chart timeframe and HTF is usually a good starting point
Larger ratios provide cleaner structure but fewer visible boxes
Smaller ratios provide more detail but consume object limits faster
These combinations are guidelines only and can be adjusted based on personal trading style and market conditions.
📌 Disclaimer
This indicator is a visual analysis tool only.
It does not provide financial advice or guarantee any trading outcome.
All trading decisions are made at your own risk.
Always combine this tool with your own analysis and risk management rules.
Harmonic Liquidity Waves [JOAT]Harmonic Liquidity Waves
Overview
Harmonic Liquidity Waves is an open-source oscillator indicator that combines multiple volume-based analysis techniques into a unified liquidity flow framework. It integrates VWAP calculations, Chaikin Money Flow (CMF), Money Flow Index (MFI), and Klinger Volume Oscillator (KVO) with custom harmonic wave calculations to provide a comprehensive view of volume dynamics and money flow.
What This Indicator Does
The indicator calculates and displays:
Liquidity Flow - Volume-weighted price movement accumulated over a lookback period
Harmonic Wave - Multi-depth smoothed oscillator derived from liquidity flow
Chaikin Money Flow (CMF) - Classic accumulation/distribution indicator
Money Flow Index (MFI) - Volume-weighted RSI showing buying/selling pressure
Klinger Volume Oscillator (KVO) - Trend-volume relationship indicator
Wave Interference - Combined constructive/destructive wave patterns
Volume Profile POC - Point of Control from simplified volume distribution
How It Works
The core liquidity flow calculation tracks volume-weighted price changes:
calculateLiquidityFlow(series float vol, series float price, simple int period) =>
float priceChange = ta.change(price)
float volumeFlow = vol * math.sign(priceChange)
// Accumulated over period using buffer array
float avgFlow = flowSum / period
avgFlow
The harmonic oscillator applies multi-depth smoothing:
harmonicOscillator(series float flow, simple int depth, simple int period) =>
float harmonic = 0.0
for i = 1 to depth
float wave = ta.ema(flow, period * i) / i
harmonic += wave
harmonic / depth
CMF measures accumulation/distribution using the Money Flow Multiplier:
float mfm = ((close - low) - (high - close)) / (high - low)
float mfv = mfm * vol
float cmf = ta.sum(mfv, period) / ta.sum(vol, period) * 100
Signal Generation
Liquidity shift signals occur when:
Bullish Shift: Smoothed wave crosses above signal line
Bearish Shift: Smoothed wave crosses below signal line
Strong signals require volume indicator confirmation:
Strong Bull: Bullish shift + CMF > 0 + MFI > 50 + KVO > 0
Strong Bear: Bearish shift + CMF < 0 + MFI < 50 + KVO < 0
Divergence detection compares price pivots with liquidity wave pivots to identify potential reversals.
Dashboard Panel (Bottom-Right)
Wave Strength - Normalized wave magnitude
Volume Pressure - Current volume vs average percentage
Flow Direction - BUYING or SELLING based on wave sign
Histogram - Wave minus signal line value
CMF - Chaikin Money Flow reading
MFI - Money Flow Index value (0-100)
KVO - Klinger oscillator value
Vol Confluence - Combined volume indicator score
Signal - Current actionable status
Visual Elements
Liquidity Wave - Main oscillator line
Wave Signal - Smoothed signal line for crossover detection
Wave Histogram - Difference between wave and signal
Wave Interference - Area plot showing combined wave patterns
CMF/KVO/MFI Lines - Individual volume indicator plots
Divergence Labels - BULL DIV / BEAR DIV markers
Shift Markers - Triangles for basic shifts, labels for strong shifts
Input Parameters
Wave Period (default: 21) - Base period for liquidity calculations
Volume Weight (default: 1.5) - Multiplier for volume emphasis
Harmonic Depth (default: 3) - Number of smoothing layers
Smoothing (default: 3) - Final wave smoothing period
Suggested Use Cases
Identify accumulation/distribution phases using CMF and wave direction
Confirm momentum with MFI overbought/oversold readings
Watch for divergences between price and liquidity flow
Use strong signals when multiple volume indicators align
Timeframe Recommendations
Best on 15m to Daily charts. Volume-based indicators require sufficient trading activity for meaningful readings.
Limitations
Volume data quality varies by exchange and instrument
Divergence detection uses pivot-based lookback and may lag
Volume Profile POC is simplified and not a full profile analysis
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.
- Made with passion by officialjackofalltrades
0DTE Credit-Spread Morning FilterUPDATE: NATIVE ALERTS ADDED!
You asked, we delivered. You no longer need to sit and stare at the dashboard waiting for a green signal.
1. New "Trade Entry Signal" Alert:
I have added a custom alert condition to the code. This triggers the exact moment the dashboard flips from "NO TRADE" to "GREEN" (Strategy Found).
2. How to set it:
Simply click the "Create Alert" button (clock icon) in TradingView, select this indicator, and choose "Trade Entry Signal" from the list.
Now you can get notified on your phone or desktop instantly when the market conditions align for a 0DTE play.
Happy Trading!
cc/@version=5
indicator("5 Min Forex Strategy", overlay=true, timeframe="5")
// ───────── Indicators ─────────
// EMAs
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
// RSI
rsi = ta.rsi(close, 14)
// Stochastic
k = ta.stoch(close, high, low, 14)
d = ta.sma(k, 3)
// ───────── Trend Conditions ─────────
bullTrend = ema50 > ema200
bearTrend = ema50 < ema200
// ───────── Entry Conditions ─────────
// Buy when trend is bullish + RSI > 50 + Stochastic crosses up from oversold
buySignal = bullTrend and rsi > 50 and ta.crossover(k, d) and k < 20
// Sell when trend is bearish + RSI < 50 + Stochastic crosses down from overbought
sellSignal = bearTrend and rsi < 50 and ta.crossunder(k, d) and k > 80
// ───────── Plot Indicators ─────────
plot(ema50, color=color.yellow, title="EMA 50")
plot(ema200, color=color.red, title="EMA 200")
// RSI & Stoch plot on separate pane
rsiPlot = plot(rsi, "RSI", color=color.new(color.blue, 0))
hline(70); hline(30)
// ───────── Plot Buy/Sell signals ─────────
plotshape(buySignal, title="BUY", style=shape.labelup, color=color.green, text="BUY", size=size.small, location=location.belowbar)
plotshape(sellSignal, title="SELL", style=shape.labeldown, color=color.red, text="SELL", size=size.small, location=location.abovebar)
Liquidity Sweep Pro [Whale Edition]Liquidity Sweep Pro is a next-generation trading tool that bridges the gap between Smart Money Concepts (SMC) and Quantitative Volume Analysis.
Traditional "Liquidity Sweep" indicators often generate false signals by marking every wick crossover as a trade setup. This indicator solves that problem by filtering setups through a Quant VSA Engine. It asks not just "Did price sweep a level?" but "Was there institutional money behind this move?"
🔬 How It Works
The indicator operates on three synchronized layers:
1. Market Structure (Liquidity Pools) It automatically identifies key pivot points where retail Stop Losses are likely clustered:
Buy Side Liquidity (BSL): Areas above swing highs.
Sell Side Liquidity (SSL): Areas below swing lows.
2. The Quant Engine (Whale Detection) Instead of using simple volume averages, we apply statistical modeling to detect anomalies:
Log-Normal Z-Score: Normalizes volume data to detect statistically significant outliers (Sigma > 2.5). This adapts to market volatility, filtering out noise.
Kaufman Efficiency Ratio (KER): Analyzes the quality of price movement to classify the "Whale" type:
❄️ Absorption (Iceberg): High Volume + Low Price Movement. Signals a potential reversal.
🚀 Propulsion (Drive): High Volume + High Price Efficiency. Signals an aggressive breakout.
3. The Trigger (Smart Entry) A trade signal is generated ONLY when:
Price sweeps a liquidity level (wicking below/above).
Price closes back within the range.
Institutional Activity is confirmed (High Z-Score Volume).
Trend (EMA 200) and Momentum (RSI) filters are aligned.
🛡️ Features
Intrabar Analysis: Uses request.security_lower_tf to analyze the internal volume delta of the candle for maximum precision.
Automated Risk Management: Plots Entry, Take Profit, and Stop Loss levels directly on the chart based on ATR (Average True Range) and your preferred Risk:Reward ratio.
Unified Alerts: Includes a single "ANY SWEEP" alert condition, allowing you to monitor both Long and Short setups with just one TradingView alert.
Visual Classification: Candles with institutional activity are marked with a 🐋 symbol, even if no sweep occurs, helping you read the narrative.
⚙️ Best Settings & Usage
Timeframes: Works best on 15m, 1h, and 4h charts.
LTF Interval (Input): This is crucial.
If trading on the 1h chart, set LTF to 1 minute.
If trading on the 4h chart, set LTF to 5 minutes.
Whale Threshold: Default is 2.5 Sigma. Increase to 3.0 for fewer, higher-confidence signals, or decrease to 2.0 for more frequency.
⚠️ Disclaimer
This tool is for educational purposes only. It identifies statistical probabilities, not certainties. Always manage your risk and do not rely solely on one indicator.
Volatility RadarThis script will display a status overview of volatility as measured by VIX. It requires real-time OPRA data for full functionality.
Danny's Quarter Zones - CompleteThis is a very good indicator which can make anybody profitable even me. so that's why im sharing it with you all . it was made specifically for NQ. to use it on ES I would have to mess around and see what works best. as it is it is good for NQ.
QT-AKHOKOاندیکاتور "QT" در پلتفرم TradingView یک ابزار پیشرفته برای تجزیه و تحلیل بازار است که از چندین چرخه زمانی مختلف بهره میبرد. این اندیکاتور به شما کمک میکند تا نقاط بحرانی در بازههای زمانی مختلف (سالیانه، ماهانه، هفتگی، روزانه، 90 دقیقهای و میکرو) را شناسایی کنید. ویژگی برجسته این اندیکاتور، استفاده از SSMT (Same Cycle Multiple Timeframes) و PSP (Price Signal Patterns) برای ارائه سیگنالهای دقیقتر است. این دو بخش باعث میشوند که اندیکاتور "QT" به ابزاری قدرتمند برای تریدرها تبدیل شود.
ویژگیهای اصلی:
SSMT (Same Cycle Multiple Timeframes):
SSMT یک روش تجزیه و تحلیل پیشرفته است که در آن یک چرخه زمانی خاص بهطور همزمان در چندین تایم فریم مختلف رصد میشود. این اندیکاتور با استفاده از SSMT، به شما این امکان را میدهد که تغییرات قیمت در تایم فریمهای مختلف را مقایسه کنید و سیگنالهایی که در چندین تایم فریم همزمان فعال هستند، شناسایی کنید.
این سیگنالها میتوانند به شما کمک کنند که نقاط ورود و خروج بهتری داشته باشید، چرا که تایید شدن سیگنال در چند تایم فریم به معنای اعتبار بالای آن است.
به عنوان مثال، زمانی که یک شکست قیمتی در تایم فریم روزانه رخ میدهد و همزمان در تایم فریمهای هفتگی و ماهانه هم تأیید میشود، احتمال اینکه این حرکت ادامهدار باشد، بسیار بالا خواهد بود.
SSMT قابلیت تنظیم دارد و میتوانید آن را بر اساس نیاز خود بهطور سفارشی تنظیم کنید، از جمله تعیین نحوه نمایش علامتها، رنگها و خطوط سیگنال.
PSP (Price Signal Patterns):
PSP یکی از بخشهای کلیدی اندیکاتور QT است که از الگوهای خاص قیمتی برای شناسایی تغییرات مهم در بازار استفاده میکند. این الگوها میتوانند شامل شکستها (Breakouts)، برگشتها (Reversals) و تغییرات روند (Trend Changes) باشند.
اندیکاتور PSP از دو نماد مختلف برای مقایسه استفاده میکند (مثلاً "SPY" و "QQQ") و نقاطی که این نمادها با یکدیگر دچار انحراف میشوند را شناسایی میکند. به عنوان مثال، اگر یک نماد صعودی باشد اما دیگری نزولی باشد، این میتواند بهعنوان یک هشدار برای تغییر روند بازار عمل کند.
در کنار این الگوها، این اندیکاتور از نشانگرهای گرافیکی (مانند مثلثها، فلشها و علامتهای دایرهای) برای نمایش این تغییرات استفاده میکند.
PSP همچنین این امکان را به شما میدهد که سیگنالهای قیمتی را در تایم فریمهای مختلف مشاهده کرده و تصمیمات دقیقتری بگیرید.
چرخههای زمانی و جعبهها:
اندیکاتور QT از جعبههای زمانی برای نمایش تغییرات در چارچوبهای زمانی مختلف (سالیانه، ماهانه، هفتگی و غیره) استفاده میکند.
این جعبهها میتوانند بهطور خودکار و با تنظیمات سفارشی شما رسم شوند، بهطوری که شما میتوانید روندهای مختلف بازار را در تایم فریمهای متفاوت مشاهده کنید.
بهطور کلی، این ویژگی به شما کمک میکند که نقاط حمایت و مقاومت مهم در زمانهای مختلف بازار را شناسایی کنید.
گرافیک و سفارشیسازی:
این اندیکاتور به شما این امکان را میدهد که رنگها، اندازهها، و استایلهای گرافیکی را به دلخواه خود تغییر دهید. این ویژگی به تریدرها این امکان را میدهد که ابزار را با توجه به نیاز خود شخصیسازی کنند.
همچنین، از آنجا که این اندیکاتور از چندین چرخه زمانی استفاده میکند، شما میتوانید هرکدام از این چرخهها را با استایلهای مختلف نمایش دهید، مثل استفاده از خطچین، نقطهچین یا خطهای عادی.
خلاصه:
اندیکاتور "QT" با استفاده از تکنیکهای پیشرفته مانند SSMT و PSP، تجزیه و تحلیل بازار را در چندین تایم فریم مختلف برای شما امکانپذیر میسازد. این اندیکاتور با تحلیل دقیق چرخههای زمانی مختلف و شناسایی الگوهای قیمتی، سیگنالهایی را برای ورود و خروج به بازار به شما ارائه میدهد که میتواند بهطور قابلتوجهی به استراتژی معاملاتی شما کمک کند.
English:
Detailed Description of QT Indicator with Focus on SSMT and PSP:
The "QT" indicator on TradingView is an advanced tool designed for market analysis using multiple time cycles. It provides traders with a comprehensive view of market trends across different time frames (Yearly, Monthly, Weekly, Daily, 90-minute, and Micro). The standout feature of this indicator is its utilization of SSMT (Same Cycle Multiple Timeframes) and PSP (Price Signal Patterns), which enhances its ability to deliver more accurate signals. These two components make the "QT" indicator a powerful tool for traders.
Main Features:
SSMT (Same Cycle Multiple Timeframes):
SSMT is an advanced analysis technique that monitors a specific cycle across multiple time frames simultaneously. By using SSMT, this indicator allows traders to compare price changes across different time frames and identify signals that are active across multiple time frames.
These signals help traders identify high-probability entry and exit points because when a signal is confirmed across several time frames, it indicates a strong likelihood of a sustained price move.
For example, if a price breakout occurs on the daily time frame and is simultaneously confirmed on the weekly and monthly time frames, it is more likely to continue.
SSMT is highly customizable, allowing traders to adjust how markers, colors, and signal lines are displayed based on their preferences.
PSP (Price Signal Patterns):
PSP is one of the key components of the QT indicator that uses specific price patterns to identify significant market changes. These patterns can include breakouts, reversals, and trend changes.
The indicator utilizes two symbols (e.g., "SPY" and "QQQ") to compare and identify when these symbols diverge, signaling potential market shifts. For instance, if one symbol is bullish while another is bearish, this could signal a change in market direction.
In addition to these patterns, the indicator uses graphical markers (such as triangles, arrows, and circles) to visually represent these market changes and signals.
PSP allows traders to view price signals across different time frames, helping them make more informed decisions.
Time Cycles and Boxes:
The QT indicator uses time boxes to visually display price changes across different time frames (Yearly, Monthly, Weekly, etc.).
These boxes are automatically drawn and can be customized based on the user's settings, allowing traders to observe market trends across various periods.
Overall, this feature helps traders identify critical support and resistance levels at different points in time.
Graphics and Customization:
This indicator allows traders to customize colors, sizes, and graphical styles to fit their needs.
Additionally, since the indicator uses multiple time cycles, traders can display each cycle with different styles, such as solid, dotted, or dashed lines.
Summary:
The "QT" indicator, using advanced techniques like SSMT and PSP, allows traders to analyze the market across multiple time frames. By detecting significant price patterns and utilizing time cycles, the QT indicator provides high-probability signals for market entry and exit. This can greatly assist in enhancing your trading strategy.
Adaptive MTF Momentum█ WHAT MAKES THIS INDICATOR DIFFERENT
This indicator solves a common problem: lower timeframe noise causing false signals. Instead of using fixed settings, it dynamically selects which higher timeframes to monitor based on your current chart.
The core methodology combines three analysis layers that must ALL agree before generating a signal:
1. Multi-timeframe trend alignment (direction filter)
2. Momentum exhaustion detection (timing filter)
3. Volume and structure confirmation (validation filter)
This triple-confirmation approach significantly reduces false signals compared to single-indicator strategies.
█ METHODOLOGY EXPLAINED
Layer 1: Adaptive Timeframe Selection
The indicator automatically builds a timeframe chain based on your chart:
| Your Chart | Monitors |
|------------|----------|
| 5 minute | 30m + 1H + 4H |
| 15 minute | 1H + 4H + Daily |
| 30 minute | 2H + 8H + Daily |
For each higher timeframe, it calculates EMA crossovers (8/21/50) to determine trend direction. The "alignment score" (0-3) shows how many timeframes agree.
Why this matters: A 5m buy signal is more reliable when 30m, 1H, AND 4H all show bullish structure.
Layer 2: Momentum Timing
Once trend direction is confirmed, the indicator waits for optimal entry timing using:
- RSI (14): Identifies oversold (<30) and overbought (>70) conditions
- Stochastic (14,3,3): Confirms momentum shift via K/D crossovers
- MACD (12,26,9): Validates momentum direction change
A "momentum score" combines these readings. Signals only fire when momentum aligns with the higher timeframe trend.
The logic: In an uptrend, we want to buy when momentum is oversold and turning up. In a downtrend, we want to sell when momentum is overbought and turning down.
Layer 3: Validation Filters
Before any signal appears, these conditions must pass:
- Volume Filter: Current volume must exceed 1.2x the 20-period average. This confirms institutional participation.
- VWAP Filter: For longs, price should be above VWAP. For shorts, below VWAP. This ensures we trade with intraday flow.
- Structure Filter: Requires a recent break of swing high (for longs) or swing low (for shorts). This confirms price is actually moving in our direction.
- ATR Filter: Volatility must be above 50% of its 50-period average. This avoids low-volatility chop.
█ SIGNAL CLASSIFICATION
The indicator categorizes signals by entry type:
REV (Reversal): Momentum reaches extreme (RSI oversold/overbought) while higher timeframes maintain trend. Best for catching pullbacks in trends.
CONT (Continuation): Price pulls back to the 21 EMA in a strong trend, then momentum turns. Best for adding to existing positions.
BRK (Breakout): Price breaks structure level with volume spike. Best for catching new moves early.
█ QUALITY SCORE CALCULATION
Each signal receives a Q1-Q5 rating based on:
- HTF alignment score (0-3 points)
- Momentum score (0-3 points)
- Volume spike present (+1 point)
Higher scores indicate more filters aligned. Q4-Q5 signals have the highest probability.
█ RISK MANAGEMENT
TP/SL levels are calculated using ATR(14):
- Stop Loss: 1.2 x ATR from entry
- TP1: 1.8 x ATR (partial exit)
- TP2: 3.0 x ATR (full exit)
This provides approximately 1.5:1 to 2.5:1 reward-to-risk ratio.
█ HOW TO USE
1. Apply to 5m, 15m, or 30m chart
2. Enable "Auto-Adapt" mode (recommended)
3. Wait for signals with Q3 or higher rating
4. Check dashboard confirms trend alignment
5. Enter with suggested TP/SL levels
Settings Guide:
- Sensitivity: "Conservative" = fewer but higher quality signals
- Sensitivity: "Aggressive" = more signals, lower threshold
- Cooldown: Increase to 10-15 if signals appear too frequently
█ DASHBOARD READINGS
- HTF: Shows active timeframe chain
- Trend: Bull/Bear + alignment score (aim for +2 or +3)
- RSI/Stoch: Current value or OS/OB status
- Vol: "SPIKE" when above threshold
- VWAP: Arrow shows price position relative to VWAP
█ LIMITATIONS
- Works best in trending markets; avoid during ranging/choppy conditions
- Designed for intraday timeframes (5m-30m); not optimized for higher timeframes
- Signals are not guarantees; always use proper risk management
- Past performance does not indicate future results
█ ALERTS AVAILABLE
- Long / Short: Any signal
- HQ Long / HQ Short: Q4+ signals only (recommended)
- Any: All signals combined
BBands + Overbought/Oversold MarkersAdvanced Bollinger Bands indicator with overbought/oversold signals, automatic squeeze detection, and multi-timeframe (MTF) capabilities.
Retains all functions of the original Bollinger Bands indicator from TradingView with a few added features:
Overbought/Oversold Markers: Visual signals when price opens and closes outside the bands
🔴 Red Highlight & Arrow → Price opens & closes above the upper BB (potential overbought/excess momentum).
🟢 Green Highlight & Arrow → Price opens & closes below the lower BB (potential oversold/reversal).
Squeeze Detection: Automatically highlights when bandwidth reaches its lowest point (narrowest BB width) in the lookback period, signalling potential breakout zones
Multi-Timeframe Bands: Display Bollinger Bands from any timeframe on your current chart (e.g., weekly bands on a daily chart), including markers and squeeze zones
Dual Rendering MTF Modes: Choose between traditional plots (unlimited history) or smooth line drawing (~125-165 MTF bars of history)
Built-in Alerts: Set alerts for overbought conditions, oversold conditions, squeeze detection, or any combination
Fully Customizable: Adjust MA type (SMA/EMA/RMA/WMA/VWMA), standard deviation multiplier, colors, and marker styles
Perfect for: Swing traders, MTF analysis, volatility-based entries, and identifying consolidation/expansion cycles.
Smart stock Uptrend Forecaster by Prawindesigned by Prawin for trying to forecast the trend of stocks.
KAMA Oscillator | IkkeOmarThis script transforms the Kaufman Adaptive Moving Average (KAMA) into an oscillator format, designed to visualize trend direction with reduced noise sensitivity. It operates in two modes: a Raw mode that tracks price levels directly, and a Normalized mode that bounds the oscillator between -1 and +1 for easier comparison across assets.
The calculations are the same as for the Normalized KAMA Oscillator, but I added a few features that users of the old version wouldn't necessarily want.
How it works
Efficiency Ratio (ER): The script calculates the "efficiency" of price movement by comparing the net direction of price to the total volatility over a set period.
Adaptive Smoothing:
When volatility is high but direction is unclear (choppy), the KAMA slows down to filter noise.
When price trends clearly, the KAMA speeds up to track the move.
Normalization (Optional): If enabled, the script takes the raw KAMA value and scales it relative to its highest and lowest points over the Normalization lookback period. The result oscillates between -1 (extreme low) and +1 (extreme high).
The SMA Signal Logic
The script allows you to overlay an SMA (Simple Moving Average) on the oscillator. This serves as a dynamic baseline for the oscillator's momentum.
Signal Generation: A signal is generated when the KAMA Oscillator crosses its SMA.
Bullish: Oscillator crosses above the SMA.
Bearish: Oscillator crosses below the SMA.
Lag vs. Noise Trade-off:
Advantage (Reduced Lag): Crossing the SMA often triggers a signal earlier than waiting for the oscillator to change color (slope change) or cross the zero line. It identifies when immediate momentum is outperforming the recent average.
Risk (Increased Noise): During consolidation, the oscillator will hover close to the SMA line. This increases the probability of "whipsaws" (false signals) where the line crosses back and forth rapidly without a sustained trend. This signal is aggressive and should be used with trend filters.
SCOTTGO - Liquidity Zones (Sweeps + Tethers)
SCOTTGO - Liquidity Zones is a high-performance technical analysis tool designed to identify and track Institutional Liquidity Zones, Price Sweeps, and Pivot Levels with a clean, professional-grade interface.
Key Features
Dynamic Liquidity Zones: Automatically identifies Bullish and Bearish zones based on customizable pivot lookbacks.
Identify Liquidity Sweeps: Detects when price "pokes" through a zone but fails to close beyond it, marking the event with a distinct label and a visual tether line.
Active Tracking: Zones and LIQ lines track price in real-time until they are mitigated (broken by a candle close), at which point they visually "deactivate" to reduce clutter.
Professional UI: Features a compact, single-row styling menu (Color, Thickness, and Line Style) that mirrors TradingView’s native design.
Visual Elements
LIQ Lines: Solid or dashed lines tracking the exact pivot price within active zones.
Sweep Tethers: Vertical lines connecting the candle extreme to the "SWEEP" label for precise visual confirmation.
Detailed Tooltips: Hover over LIQ labels or Sweep tags to view specific price data and zone context.
Zone Titles: Clearly labeled "BULL ZONE" and "BEAR ZONE" tags with independent font size controls.
How to Use
Core Logic: Adjust the Pivot Lookback to define the strength of the levels you want to track.
Styling: Use the Inputs Tab for compact, specialized styling of Lines, Borders, and Sweeps.
Analysis: Look for "Sweeps" at zone boundaries as potential signs of reversal or stop-running.
Liquidity Sweep Trendlines Works great, automatic update happens, no need to draw mannually. Only two trendlines to maximise focus.
Best way to use : have higher time frame trend in view then wait till trendline is breached in htf direction on lower time frame.
Best part is that trendline drawn is not through ordinary wicks, rather wicks that matter liquidity.
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.
Oxscope 1hr V1This indicator is a sophisticated trend-following tool designed to filter market noise by aggregating signals from 20 distinct technical indicators—including EMA, RSI, MACD, Bollinger Bands, SuperTrend, and Ichimoku. Instead of relying on a single metric, it calculates a real-time "consensus score" for every candle, where each indicator votes +1 for bullish or -1 for bearish.
Key Features:
High-Confidence Threshold: The strategy operates on a strict threshold of ±6. A score of +6 or higher activates the Long Zone (Green Background), while -6 or lower triggers the Short Zone (Red Background). This ensures trades are only suggested when there is strong technical agreement.
Visual Clarity: Designed for a distraction-free experience, this version removes complex data tables and indicator lines. It features massive, easy-to-read emoji labels ("🚀" for Long entries, "📉" for Short entries).
Smart Signal Logic: The script prioritizes entry signals over exit signals during sharp reversals, keeping your chart clean and focusing solely on the most critical trend changes.
This tool is ideal for traders seeking high-conviction setups without visual clutter.






















