Supply & Demand Sniper369Indicator Philosophy: The Convergence of Structure and Liquidity
The Supply & Demand Sniper369 is not just another signal generator; it is a professional-grade execution framework built on the principles of Institutional Order Flow and Liquidity Engineering. While standard indicators often lag or provide signals in "no-man's land," this script is designed to identify high-probability reversal points by combining macro-structural zones with micro-execution triggers.
What Makes This Script Original?
Most scripts treat Supply/Demand and Entry Triggers as separate entities. The originality of the Sniper369 lies in its Strict Hierarchical Logic. It employs a "Two-Factor Authentication" system for trades:
1. Structural Validation: Identifying where "Smart Money" has historically left unfilled orders.
2. Liquidity Sweep Confirmation: Using the Enigma 369 logic to detect a specific manipulation pattern (a stop-run or "sweep") that occurs exclusively within those structural zones.
By using Pine Script v6 Object-Oriented Programming, the script manages dynamic arrays of boxes and lines that auto-delete upon mitigation, ensuring your chart remains a clean, actionable workspace.
Underlying Concepts & Calculations
1. Macro: Structural Supply & Demand
The indicator calculates zones based on Pivot Strength and Volatility Scaling.
Calculations: It scans for major structural pivots ( and ). Once a pivot is confirmed, it doesn't just draw a line; it calculates a zone width based on the Average True Range (ATR).
Why it works: Institutions do not enter at a single price; they enter in "pockets" of liquidity. Using ATR-based zones ensures that on high-volatility pairs (like Gold or GBP/JPY), your zones are appropriately wide, while on lower-volatility pairs, they remain tight and precise.
2. Micro: The Enigma 369 Sniper Logic
Once price enters a zone, the "Sniper" logic activates. This is based on the Institutional Wick-Liquidity concept.
The Sweep: The script looks for a candle that breaks the high/low of the previous candle (trapping "breakout" traders) but fails to hold that level.
The Mean Threshold (50% Wick): A core calculation of the Enigma logic is the midpoint of the rejection wick.
Calculation: for Sells.
Logic: Institutions often re-test the 50% level of a long wick to fill the remaining orders before the real move starts.
How to Use the Indicator
Step 1: Wait for Structural Alignment
Observe the Teal (Demand) and Red (Supply) boxes. These are your "Points of Interest" (POI). Do not take any trades until the price is physically touching or inside these boxes.
Step 2: Monitor for the Sniper Trigger
When the price is inside a zone, look for the appearance of the Solid and Dotted lines.
The Solid Line: This is the extreme of the manipulation candle. It serves as your structural invalidation level (Stop Loss).
The Dotted Line: This is the 50% Wick level. It is your "Sniper Entry" target.
Step 3: Execution & Alerts
The script features a built-in alert system that notifies you the moment a Sniper activation occurs inside a zone.
Conservative Entry: Place a Limit Order at the Dotted Line.
Aggressive Entry: Market enter on the close of the Sniper candle if the price has already reacted strongly.
Exit: Target the opposing Supply or Demand zone for a high Risk-to-Reward ratio.
Technical Summary for Traders
Trend Detection: Uses an EMA-50 Filter to ensure Snipers only fire in the direction of the dominant trend (optional).
Scalping/Day Trading: Optimized for the 1m, 5m, and 15m timeframes, but functions perfectly on 4H/Daily for swing traders.
Dynamic Cleanup: The script automatically deletes lines if the price closes past them, signaling that the "Liquidity Grab" was actually a breakout, thus preventing you from entering a losing trade.
Indikatoren und Strategien
BB Scoreboard MTF1. The Concept: Harmony Across TimeframesThe Musical Score Visual: This indicator transforms absolute price into a relative "score" based on standard deviations ($\sigma$). It displays the positions of Short-Term (15m), Mid-Term (1H), and Long-Term (4H) prices on a single grid, similar to a musical staff.Syncing the "Breath" of the Market: By aligning three different timeframes, you can instantly see if the entire market is "breathing" in the same direction.
2. Trading Logic: The Power of ConvergencePerfect Order (Bullish): When the Short, Mid, and Long-term lines are all above the Middle (0) line, it indicates a strong, synchronized uptrend. This is the highest probability zone for "Buy on Dip" strategies.Perfect Order (Bearish): Conversely, when all lines are below the Middle line, the market is in a synchronized downtrend, making "Sell on Rally" the dominant strategy.Overextension (The Limits): When all three lines hit the $+3\sigma$ or $-3\sigma$ levels simultaneously, the market is extremely overextended, signaling an imminent correction or exhaustion.
3. Synergizing with "Volume-Wall" (FVG)To achieve the Ultimate Scalping Setup:Alignment: Wait for all three lines on the "Scoreboard" to point in the same direction (e.g., all above 0).The Anchor: Price returns to a Strong FVG (Volume-Wall).The Trigger: Enter the trade when the Short-term line bounces off a lower $\sigma$ level and heads back toward the $+1\sigma$ or $+2\sigma$ area.
Korean Trading Value in 100M KRW (KRX Standard)이 지표는 한국 시장(KOSPI, KOSDAQ) 투자자들을 위해 거래대금을 가장 직관적인 '억 원' 단위로 변환하여 보여줍니다.
주요 특징:
직관적인 수치: 우측 가격축(Y축)에 표시되는 숫자 '1'은 '1억 원'을 의미합니다. (예: 1000 = 1000억)
KRX 표준 최적화: 한국거래소 기준에 맞춰 금액을 환산하여 시장 주도주와 자금 유입을 즉각 파악할 수 있습니다. (참고: 본 지표는 KRX 데이터를 기준으로 하며, NXT 거래대금은 포함되지 않습니다.)
깔끔한 UI: 차트 화면을 가리는 라벨을 제거하고 트레이딩뷰 기본 색상 테마를 유지하여 가독성이 뛰어납니다.
실시간 확인: trackprice 기능을 통해 현재 진행 중인 봉의 거래대금을 우측 라벨에서 실시간으로 확인할 수 있습니다.
*****
This indicator is designed for the Korean stock market (KRX), converting trading values into the most intuitive unit for local traders: 'Eok' (100 million KRW).
Key Features:
Intuitive Scaling: The numbers on the Y-axis represent 100 million KRW per unit. (e.g., 1000 = 100 billion KRW)
KRX Standard Optimized: Easily identify market leaders and capital flow based on KRX data. (Note: This indicator is based on KRX standards and does not include NXT trading value.)
Clean UI: Minimizes on-screen clutter and maintains TradingView's default color theme for maximum readability.
Real-time Tracking: The trackprice feature allows you to monitor the current bar's trading value directly on the price scale in real-time.
Breaker Blocks Finder | Gold | ProjectSyndicateProjectSyndicate Breaker Blocks Finder
📊 Overview
The ProjectSyndicate Breaker Blocks Finder (PS BB Finder) is a professional-grade Pine Script indicator designed to detect and display Bullish and Bearish Breaker Blocks based on Smart Money Concepts (SMC) methodology. This indicator is specifically optimized for XAUUSD (Gold) trading but works reliably across all symbols and timeframes.
Key Features
✅ Non-Repainting: Breaker blocks never change position after formation
✅ Multi-Timeframe Support: Optimized for M5, M10, M15, M20, M30, and H1
✅ Highly Customizable: 10+ user-configurable settings
✅ Visual Clarity: Color-coded boxes and labels for easy identification
✅ Performance Optimized: Handles 1000+ candles without lag
✅ Cross-Symbol Compatible: Works on Forex, Crypto, Stocks, Indices, and Commodities
✅ Displacement Detection: Uses ATR-based displacement to filter false signals
🎯 What are Breaker Blocks?
A Breaker Block is a failed order block that becomes a new support or resistance zone after being invalidated by price. It represents a market structure shift where institutional traders (smart money) have flipped their position.
Bullish Breaker Block
A Bullish Breaker Block forms when:
1 A bearish order block (resistance zone) exists
2 Price breaks ABOVE this zone with strong displacement
3 The former resistance zone now becomes SUPPORT
4 Price may retest this zone before continuing higher
Visual: Green box with "BB ▲" label
Bearish Breaker Block
A Bearish Breaker Block forms when:
5 A bullish order block (support zone) exists
6 Price breaks BELOW this zone with strong displacement
7 The former support zone now becomes RESISTANCE
8 Price may retest this zone before continuing lower
Visual: Red box with "BB ▼" label
⚙️ Default Settings
Setting Default Range Description
Lookback Period 1000 100-5000 Number of historical candles to analyze
Max Breaker Blocks 5 1-50 Maximum number of breaker blocks to display
Swing Detection Length 10 2-20 Bars on each side to confirm swing high/low. Higher = more significant swings
Use Displacement Filter true true/false Enable to filter breaker blocks by displacement size
Displacement Multiplier 2.0 0.5-5.0 Minimum move size as multiple of ATR. Higher = stricter detection
Invalidation Method Close Close/Wick Close = Conservative (candle must close beyond zone)Wick = Aggressive (wick touch is enough)
📈 Recommended Timeframes & Settings
This indicator is optimized for the following timeframes. Use these settings as a starting point.
Lower Timeframes (M5, M10, M15, M20)
These settings are designed to capture faster price movements and are the default settings for the indicator.
Setting Recommended Value
Lookback Period 1000
Max Breaker Blocks 5
Swing Detection Length 10
Use Displacement Filter true
Displacement Multiplier 2.0
Invalidation Method Close
Higher Timeframes (M30, H1)
For these timeframes, a less strict displacement filter is recommended to capture more significant, but less frequent, breaker blocks.
Setting Recommended Value
Lookback Period 1000
Max Breaker Blocks 5
Swing Detection Length 10
Use Displacement Filter true
Displacement Multiplier 1.0
Invalidation Method Close
🎓 How to Use
Step 1: Identify Breaker Blocks
Once the indicator is loaded, breaker blocks will automatically appear on your chart:
• Green boxes = Bullish breaker blocks (former resistance, now support)
• Red boxes = Bearish breaker blocks (former support, now resistance)
Step 2: Wait for Retest
The most reliable trading opportunities occur when price retests the breaker block zone:
• For bullish breaker blocks, wait for price to come back down to the green zone
• For bearish breaker blocks, wait for price to come back up to the red zone
Step 3: Look for Confluence
Combine breaker blocks with other SMC concepts for higher probability setups:
• Fair Value Gaps (FVG) within the breaker block zone
• Liquidity grabs before the retest
• Break of Structure (BoS) or Change of Character (ChoCH) confirmation
Step 4: Enter the Trade
Bullish Setup:
• Entry: At or near the bullish breaker block zone
• Stop Loss: Below the breaker block
• Take Profit: Previous swing high or higher
Bearish Setup:
• Entry: At or near the bearish breaker block zone
• Stop Loss: Above the breaker block
• Take Profit: Previous swing low or lower
🛡️ Non-Repainting Guarantee
This indicator is 100% non-repainting, meaning:
✅ Breaker blocks never change position after formation
✅ Historical breaker blocks remain in the exact same location indefinitely
✅ Backtesting results are reliable and consistent
🐛 Troubleshooting
Issue: No Breaker Blocks Appearing
Solutions:
• Ensure "Use Displacement Filter" is enabled.
• On M30/H1, try lowering the "Displacement Multiplier" to 1.0.
• Scroll back in history; blocks may not be present on the most recent bars.
Issue: Too Many Breaker Blocks
Solutions:
• Increase "Displacement Multiplier" to 2.5 or 3.0.
• Increase "Swing Detection Length" to 12-15.
• Decrease "Max Breaker Blocks" to 3-4.
Long + Short + Signal//@version=6
indicator("Long + Short + Signal", overlay=true)
Buy = input.bool(false, "Buy ")
Sell = input.bool(false, "Sell ")
// ================= INPUTS =================
// ---- LONG ----
periodK_Long = 50
smoothK_Long = 3
periodD_Long = 3
// ---- SHORT ----
periodK_Short = 14
smoothK_Short = 3
periodD_Short = 3
// ================= FUNCTIONS =================
f_stoch_long(tf) =>
k = request.security(syminfo.tickerid, tf,
ta.sma(ta.stoch(close, high, low, periodK_Long), smoothK_Long))
d = request.security(syminfo.tickerid, tf,
ta.sma(k, periodD_Long))
k > 50 and d > 50 ? color.green : k < 40 and d < 40 ? color.red : color.gray
f_stoch_short(tf) =>
k = request.security(syminfo.tickerid, tf,
ta.sma(ta.stoch(close, high, low, periodK_Short), smoothK_Short))
d = request.security(syminfo.tickerid, tf,
ta.sma(k, periodD_Short))
k > 60 and d > 60 ? color.green : k < 40 and d < 40 ? color.red : color.gray
// ================= TABLE =================
// 2 rows × 8 columns
var table t = table.new(position.top_right, 8, 2, border_width=3)
if barstate.islast
// ===== HEADINGS (BIGGER) =====
table.cell(
t, 0, 0, "Short",
bgcolor=color.black,
text_color=color.white,
text_size=size.large,
text_halign=text.align_center
)
table.cell(
t, 0, 1, "Long",
bgcolor=color.black,
text_color=color.white,
text_size=size.large,
text_halign=text.align_center
)
// ===== LONG ROW =====
table.cell(t, 1, 0, "1m", bgcolor=f_stoch_short("1"), text_color=color.white, text_size=size.normal)
table.cell(t, 2, 0, "5m", bgcolor=f_stoch_short("5"), text_color=color.white, text_size=size.normal)
table.cell(t, 3, 0, "15m", bgcolor=f_stoch_short("15"), text_color=color.white, text_size=size.normal)
table.cell(t, 4, 0, "60m", bgcolor=f_stoch_short("60"), text_color=color.white, text_size=size.normal)
table.cell(t, 5, 0, "D", bgcolor=f_stoch_short("D"), text_color=color.white, text_size=size.normal)
table.cell(t, 6, 0, "W", bgcolor=f_stoch_short("W"), text_color=color.white, text_size=size.normal)
table.cell(t, 7, 0, "M", bgcolor=f_stoch_short("M"), text_color=color.white, text_size=size.normal)
// ===== SHORT ROW =====
table.cell(t, 1, 1, "1m", bgcolor=f_stoch_long("1"), text_color=color.white, text_size=size.normal)
table.cell(t, 2, 1, "5m", bgcolor=f_stoch_long("5"), text_color=color.white, text_size=size.normal)
table.cell(t, 3, 1, "15m", bgcolor=f_stoch_long("15"), text_color=color.white, text_size=size.normal)
table.cell(t, 4, 1, "60m", bgcolor=f_stoch_long("60"), text_color=color.white, text_size=size.normal)
table.cell(t, 5, 1, "D", bgcolor=f_stoch_long("D"), text_color=color.white, text_size=size.normal)
table.cell(t, 6, 1, "W", bgcolor=f_stoch_long("W"), text_color=color.white, text_size=size.normal)
table.cell(t, 7, 1, "M", bgcolor=f_stoch_long("M"), text_color=color.white, text_size=size.normal)
lengthK = 14
lengthD = 3
lengthEMA = 3
emaEma(source, length) => ta.ema(ta.ema(source, length), length)
highestHigh = ta.highest(lengthK)
lowestLow = ta.lowest(lengthK)
highestLowestRange = highestHigh - lowestLow
relativeRange = close - (highestHigh + lowestLow) / 2
smi = 200 * (emaEma(relativeRange, lengthD) / emaEma(highestLowestRange, lengthD))
// ===== BUY / SELL CONDITIONS =====
buyEntry = ta.crossover(smi, 50)
buyExit = ta.crossunder(smi, 50)
sellEntry = ta.crossunder(smi, -40)
sellExit = ta.crossover(smi, -40)
// ===== PLOTS =====
plotshape( Buy and buyEntry, title="BUY", style=shape.triangleup,location=location.belowbar, color=color.green,size=size.small, text="BUY")
plotshape( Buy and buyExit, title="EXIT BUY", style=shape.triangledown, location=location.abovebar, color=color.lime,size=size.tiny, text="EXIT")
plotshape( Sell and sellEntry,title="SELL", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, text="SELL")
plotshape( Sell and sellExit, title="EXIT SELL", style=shape.triangleup, location=location.belowbar, color=color.orange, size=size.tiny, text="EXIT")
shortest = ta.ema(close, 9)
shortEMA = ta.ema(close, 21)
longer = ta.ema(close, 50)
longest = ta.ema(close, 200)
plot(shortest, color=color.red, title="EMA 9")
plot(shortEMA, color=color.orange, title="EMA 21")
plot(longer, color=color.aqua, title="EMA 50")
plot(longest, color=color.blue, title="EMA 200")
Trading Value (Auto-Unit: K/M/B) with Price LabelsThis is a simple yet powerful indicator that calculates and displays the Trading Value (Price × Volume) instead of just trading quantity. It helps traders identify where the real "big money" is flowing.
By. Ninggimhee
PAIR CORROLATIONThis indicator shows when ema's on 2 pairs of choice (SMT related) are allilgned. you can fully customize it by showing signals or change of colour of background
First Candle Session Levels. Sessions custom timeframes settingsFirst Candle Rule – Scalping Itinerary
Chart Setup
Use two charts at the same time: the five-minute chart and the one-minute chart. This double-chart approach allows you to define structure on the higher timeframe and execute with precision on the lower timeframe.
The First Candle
Focus on the first five-minute candle of the session. Once this candle has fully closed, mark its high and its low. These two price levels form the operating range for the setup.
Execution Phase
After the range is marked, wait for price to return into or react around the first candle range. Execution is carried out on the one-minute chart, using price reaction at the high or low of the first five-minute candle.
Conceptual Framework
This method is built around Smart Money Concepts and Inner Circle Trader principles. It aligns closely with first candle theory and candle range theory. If you understand ICT concepts, the logic behind this setup will be immediately familiar.
Strategy Type
This is a scalping system designed to be simple, repeatable, and effective on a daily basis. It is not about prediction, but about reacting to price within a clearly defined range.
Learning Path
To fully understand the background of this approach, study first candle theory and related ICT material on YouTube. This will help you see how and why the setup works across different market conditions.
Final Purpose
This algorithm was built to be accessible to everyone. The objective is consistency, discipline, and structure, with the long-term goal of helping traders work toward financial freedom through a clear and repeatable process.
Crypto Camp Day Key LevelsDaily key levels Daily key levels Daily key levels Daily key levels Daily key levels Daily key levels
Wickless Unvisited Levels (by TheActualSnail)Wickless Unvisited Levels (by TheActualSnail)
Description:
This indicator identifies “wickless” candles—candles without upper or lower shadows—and plots the corresponding unvisited price levels on your chart. Bullish wickless candles (where open = low) mark potential support levels, while bearish wickless candles (where open = high) mark potential resistance levels. These levels are dynamic: once price revisits them, the lines are automatically removed.
How to Use:
Wickless levels are often revisited and “repaired” by the market, meaning they act as temporary support or resistance.
Use these levels in confluence with other technical tools, such as trendlines, moving averages, or oscillators, for higher probability setups.
You can visually track unvisited areas of the chart where price may react in the future.
Important:
This indicator is for educational purposes only and is not financial advice. Always combine it with your own analysis and risk management.
Trading solely based on wickless levels is not recommended; they should be part of a broader strategy.
Inputs:
Bullish Wickless Color: green
Bearish Wickless Color: red
Line Width: adjustable
Show Price Label: toggle on/off
SMC Flow: Order Blocks & FVGDescription:
This indicator is designed to identify key liquidity zones based on Smart Money Concepts (SMC). It focuses on identifying high-probability reversal and continuation areas by tracking Order Blocks and Price Imbalances.
Key Features:
Order Blocks (OB): Automatically identifies supply and demand zones. The script filters for candles with high relative volume (above 20-period SMA) to ensure the zone represents significant market activity.
Fair Value Gaps (FVG): Detects 3-candle imbalance structures where price moved rapidly, leaving "gaps" that often act as magnets for future price action.
Structure Tracking: Includes a visual step-line based on the highest high and lowest low of the last 10 bars to help traders identify the current market bias.
How to use:
Demand/Supply Zones: Look for Price Action confirmation when the market returns to the highlighted Order Block boxes.
Efficiency: Use FVG boxes to identify where the market is "unbalanced." These areas often get filled before a trend continues.
Confluence: This tool is most effective when used in alignment with higher timeframe analysis and additional technical filters.
Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score
Overview
Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets.
Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?”
Core idea
The indicator is built from two components:
A Kalman-based smoothing engine that estimates price state and reduces noise adaptively.
A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter.
Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration.
Why Kalman instead of standard smoothing
Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates.
This script exposes that behavior through two key controls:
Measurement Noise: how noisy the observed price is assumed to be.
Process Noise: how much the underlying state is allowed to evolve from bar to bar.
Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone.
Kalman filter mechanics (conceptual)
Each update cycle follows the classic structure:
Prediction: assume the state continues, and expand uncertainty by process noise.
Update: compute Kalman Gain, then blend the new price observation into the estimate.
Correction: reduce uncertainty based on how much the filter accepted the new information.
When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive.
Check out the original script:
Kalman Hull construction
The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes:
Apply Kalman smoothing over multiple effective lengths.
Combine them using the Hull-style weighting logic.
Run the combined output through another Kalman pass to finalize smoothing.
The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages.
Another Kalman Hull with Supertrend
Trend scoring logic
The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script):
If current kalmanHMA > kalmanHMA , add +1
If current kalmanHMA < kalmanHMA , add -1
This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative.
Interpreting the score
Read the score as trend conviction and persistence:
High positive values: bullish persistence, the filtered trend is progressing consistently.
Low positive values: trend exists but is fragile, progress is slowing.
Near zero: indecision, range behavior, frequent challenges to structure.
Negative values: bearish persistence or sustained deterioration in the filtered trend.
The rate of change matters:
Score expansion suggests trend is gaining traction.
Score compression often signals consolidation or exhaustion.
Fast flips usually accompany regime transitions.
Signal thresholds and regime transitions
User-defined thresholds convert the score into regimes:
Long threshold: score must exceed this level to confirm bullish persistence.
Short threshold: a crossunder of the score triggers bearish regime transition.
This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise.
Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests.
Visual presentation
The indicator provides multiple layers depending on how you want to use it:
Kalman Hull Trend Score oscillator, color-coded by active regime.
Optional Kalman Hull filter plotted on the price chart for structure context.
Optional threshold reference lines for quick regime mapping.
Optional candle coloring and background shading for instant readability.
You can run it as a pure score panel or as a combined panel + on-chart trend overlay.
How to use in practice
Trend filtering
Favor long setups when the score remains above the long threshold.
Reduce directional aggression when score compresses toward zero.
Treat a short-threshold breakdown as a regime risk event, not just a signal.
Trend quality assessment
Rising score supports continuation trades and adds confidence to breakouts.
Flat or falling score warns that trend persistence is fading.
If price trends but score fails to expand, trend may be weak or liquidity-driven.
Trade management
Use the Kalman Hull line as dynamic structure reference on chart.
Use score deterioration to scale out before a full regime flip.
Use regime flips as confirmation for bias shifts rather than prediction.
Tuning guidelines
Measurement Noise
Higher: smoother filter, fewer false shifts, slower to adapt.
Lower: more responsive, more sensitive to microstructure noise.
Process Noise
Higher: adapts quicker to sudden changes, but can become twitchy.
Lower: steadier state estimate, but slower during sharp regime transitions.
A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes.
Summary
Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.
Range Marker by Vinay SinghThis indicator marks back and forth range on given timeframes. good indicator to test range breakout.
KCP Pivot TrendLine [Dr.K.C.Prakash]KCP Pivot TrendLine automatically plots non-repainting trendlines by connecting confirmed pivot highs and pivot lows.
It helps identify trend direction, support, and resistance, with optional display of only the latest trendline for a clean chart.
Best suited for market structure analysis and swing trading.
6 Moving Averages (SMA, WMA, EMA etc.)6 Moving Averages is a simple and flexible overlay indicator that lets you plot up to six moving averages on the price chart. Each moving average can be customized by type (SMA, EMA, WMA, etc.), length, color, and visibility, making it ideal for trend analysis, dynamic support and resistance, and moving-average confluence across any market or timeframe.
ATR + STRAT Dashboard (LAST + DIR + REV) + Est MovesATR + STRAT Dashboard is a multi-timeframe market structure indicator built around The Strat and ATR context. It summarizes higher-timeframe control (buyers vs sellers), highlights key Strat conditions (inside/outside/2-1-2 style transitions), and flags common reversal candles (hammer / shooting star style signals) to help spot potential turns. It also includes ATR-based context and estimated move guidance so you can quickly gauge whether price has “room” to run or is extended.
What it shows
MTF Dashboard: quick read of trend/control across multiple timeframes
Direction/Control: color-based bias (buyers vs sellers in charge)
Reversal Flags: highlights reversal-style candles for awareness (not guaranteed)
ATR Context + Estimated Moves: volatility-based framework for targets/expectations
Non-repainting HTF behavior: designed to use closed higher-timeframe bars to reduce repaint surprises
Note: This tool is for structure + context, not trade signals by itself. Always confirm with your plan/risk management.
Statistical Probability Entry & ExitWHAT THIS INDICATOR WILL DO
This indicator will:
✅ Identify market direction
✅ Analyze the last 2–5 candles statistically
✅ Trigger BUY / SELL signals when continuation probability is high
✅ Trigger EXIT signals when probability collapses
✅ Be fast, made for 1-minute NQ trading
✅ Avoid laggy indicators (no RSI, MACD spam)
CORE LOGIC (HOW PROBABILITY IS ESTIMATED)
We estimate probability using conditional continuation logic:
Bullish continuation is likely when:
Price is above EMA (trend bias)
Last candles show:
Higher closes
Strong bodies (not wicks)
Volume expands in direction of move
Momentum doesn’t stall (no large opposite candle)
Same logic inverted for shorts.
MNQ BandsMNQ Bands – Execution Clean MNQ Bands – Execution Clean MNQ Bands – Execution Clean MNQ Bands – Execution Clean MNQ Bands – Execution Clean MNQ Bands – Execution Clean
Crypto Swing 5% Volatility Scanner (v6)The script is a work in progress and will look for crypto that has a min +-5% Volatility for day trading.
EMA 9/24/50/100/200 with Labels on chart lines This Pine Script® v6 indicator plots five distinct Exponential Moving Averages (EMAs) onto a single trading chart to help identify trend direction and momentum. By calculating the 9, 24, 50, 100, and 200-period averages, the script allows you to visualize short-term price action alongside long-term support and resistance levels. It uses a color-coded hierarchy and varying line thicknesses to make the different timeframes easy to distinguish at a glance.
with labels on the lines
