ICT Kill Zone [KTY]ICT Kill Zone Indicator
This indicator displays ICT Kill Zones, which are high-liquidity trading periods during major exchange opening hours.
Smart money tends to make significant moves during these times, resulting in increased volatility and trading volume.
Four Kill Zones
- AS KZ (Asian): Lower volatility, range formation period
- LDN KZ (London): European session start, liquidity surge
- NY KZ (New York): Europe + US overlap, strongest moves
- LDN CL KZ (London Close): London closing, position unwinding period
Market Hours Display
- Shows actual trading hours for Asian, London, and New York markets
- High/low lines for each session
Session Indicators
- Visual markers at the bottom of chart showing active kill zones
- Labels when each kill zone begins
1. Identify which kill zone is currently active
2. Signals during kill zones (CHoCH/BOS, OB, FVG) have higher significance
3. Watch for Asian range breakout in London/New York sessions
4. Be cautious of false moves outside kill zone hours
Pro Tips:
- New York kill zone typically has the strongest moves
- London open often sets the daily direction
- Asian session forms the range that gets broken later
- Combine kill zones with other ICT concepts for best results
Show Kill Zones: Toggle kill zone display on/off
Show Market Hours: Toggle market hours lines on/off
Show Latest Data Only: Display only the most recent kill zone
Daylight Saving Time: Apply DST adjustment (On/Off)
Asian Kill Zone Started
London Kill Zone Started
New York Kill Zone Started
London Close Kill Zone Started
This indicator is designed for educational purposes.
Kill zones only display on 15-minute or lower timeframes.
Always combine with proper risk management.
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
Cycles
Empyrean - Strat 1minGood for bot trading. 1min TF, with 15min confluence. Setting are here
22
Min Pivot Size x ATR
0.1
Enable TF1
Resolution TF1
15
Use SMA
SmaLen
23
ADX Length
21
ADX Threshold
20
ATR Baseline Length
2
TP * ATR
5.5
SL * ATR
1.5/3
Crypto Momentum OscillatorThe indicator uses an adaptive weighting system that dynamically adjusts component importance based on rolling correlations with BTC, creating a composite master score that signals optimal entry/exit conditions when macro tailwinds align with crypto momentum.
ICT Weekly Profile [KTY]【ICT Weekly Profile】📊
A tool for analyzing weekly price structure based on ICT concepts.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 FEATURES
- PWH/PWL (Previous Week High/Low)
- Key liquidity levels where stops cluster
- Watch for sweeps and reversals
- PW Open/Close
- Tend to act as support/resistance
- Extended into current week for reference
- Range Box
- Visual display of previous week's range
- Price inside = Consolidation
- Price breaks out = Potential trend start
- Monday Range
- Monday often sets weekly high or low
- Mid-week sweeps are common
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ BEST FOR
- Swing traders
- Position traders
- Weekly bias analysis
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
SAS 4H Positional ScreenerSAS 4H Positional Screener is a structure-based trend filter designed for 4-hour positional trading in Indian large-cap stocks.
It identifies high-probability bullish setups by combining trend alignment, price acceptance, and institutional market structure.
This screener is not a buy/sell strategy.
It is a professional pre-trade filter used to shortlist stocks that are ready or near-ready for LONG trades.
GT Model IndicatorThis indicator will help you detect 15m FVGs on NQ. After setting the alert, you can check the chart to see if the FVG aligns with the Bias. This way, when the price reenters this FVG, we can check the LTF for an IFVG that aligns with the Bias. If you find this FVG interesting, set a manual alert on the FVG again, let the price return, and see if you can initiate a continuation trade towards the clear DOL.
You can also specify a time window for the alerts to arrive.
This indicator is for "NQ1!"
We will update this Script allong the way, so stay tuned, more to come.
Overlay: BTC vs Global Liquidity (WALCL + TGA - RRP)Overlay: BTC vs Global Liquidity (WALCL + TGA - RRP)
Stage 2 Weinstein Entry - Volumi & SMA (SNDK-like)beta testing stage 2 weinstein
allow to have signal when candle are over SMA 150 with volume
Joker 20The 20% Range Strategy is a rule-based swing trading approach designed to capture price reversals and breakouts within a stock’s defined yearly range.
This strategy works best in range-bound or mildly trending markets and focuses on high-probability entries near extreme price zones.
🔍 Concept
The strategy uses the 52-week High and 52-week Low as reference points.
The total price range between these two levels is divided.
A 20% band from the top and bottom of the range is marked as key decision zones.
📉 Buy Setup (Lower 20% Zone)
When the stock price enters the lower 20% of its 52-week range, it indicates potential undervaluation or strong support.
Entry: Buy on the next candle after price touches or confirms support in the lower zone.
Logic: Risk is limited because price is already near long-term support.
[COG] Platypus Platypus
Overview
Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts.
The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum.
Key Features
✅ Volume Momentum Calculation
Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods
Quiet Market Filtering: Reduces noise during low-activity periods
Spike Detection: Identifies abnormal volume surges with boosted weighting
Momentum Smoothing: EMA-based smoothing prevents erratic signals
✅ Entry Pattern Detection
3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells)
State Management: Prevents consecutive signals in same direction without reset
Background Confirmation: Must align with bullish/bearish market state
EMA Alignment Filter: Ensures trend structure supports the trade direction
✅ Multi-Timeframe Filtering System
HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint)
HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries)
Dual-Filter Capability: Use both filters for maximum precision
✅ Dashboard
Real-time Status Monitoring: Volume trend, background state, EMA order, trade state
Filter Status Display: Shows HTF filter conditions and signal permission
Pattern Detection: Indicates when 3-bar entry pattern is forming
✅ On-Chart Integration
50/100/200 EMAs: Automatically plotted on price chart with customizable colors
Visual Entry Markers: Triangle signals appear on price chart at entry points
Signal Alerts: Built-in alert conditions for all signal types
📚 Core Settings Explained
signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings")
Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react.
volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings")
Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions.
priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings")
Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background.
Advanced Settings
momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced")
Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility.
momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced")
Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag.
quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced")
Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves.
volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio
When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
Candle Movement Table 4H / 1H / 1DARD this live adr can be used to see how much adr moved to corner market
SA Range Rank ALOG PRESSURE 1 AND 2This is a 4-candle market mechanic:
Bull pattern (orange)
Impulse up (strong bullish candle)
Stall / absorption (small candle; indecision)
Trap down (small bearish candle that fails to continue down)
Ignition up (bull candle breaks above the micro-range)
Bear pattern (yellow)
Impulse down
Stall / absorption
Trap up
Ignition down (bear candle breaks below micro-range)
Interpretation:
This is “pressure → absorption → reversal ignition.”
It’s meant to catch the moment where retail commits late and gets forced out.
How to Trade It on 15-Minute
15m is your structure execution timeframe: fewer signals, higher quality.
Recommended Indicator Settings (15m /NQ)
For CLEAN version (best baseline)
Sensitivity: BALANCED
Require VWAP bias: ON
Require EMA slope: ON
Targets: ON
Line extend bars: 40–60
For PRO (Looser) (more signals)
Keep defaults, then:
useVWAP: ON
useTrend: ON
useRetestHold: OFF (turn ON only if you want A+ only)
15m Entry Rules (Simple + Effective)
BULL (orange)
Enter on:
The close of the signal candle or
Next candle if it holds above the breakout area (safer)
BEAR (yellow)
Enter on:
The close of the signal candle or
Next candle if it holds below the breakdown area (safer)
15m Risk & Targets
STOP = the STOP line
PT1 = first scale / partial
PT2 = runner target
Suggested execution
Take 50–70% off at PT1
Move stop to breakeven after PT1 (optional)
Hold remainder to PT2 or trail
When to IGNORE a 15m signal
Skip it if:
Signal prints into a major level (prior day high/low, VWAP bands, overnight high/low)
You’re in the middle of chop and ATR is collapsing hard
The signal prints right before major news (CPI/FOMC)
How to Trade It on 1-Minute
1m is your execution / microstructure timeframe: more signals, faster decisions.
Recommended Indicator Settings (1m /NQ)
CLEAN version (to avoid spam)
Sensitivity: STRICT or BALANCED
VWAP: ON
EMA slope: ON
Targets: ON
PRO (Looser) (if you WANT frequent scalps)
Defaults are fine, but do:
useRetestHold: ON (recommended for 1m to avoid fake-outs)
Keep VWAP ON
1m Entry Rules (must be disciplined)
Best entry method (highest probability)
Wait for signal
Enter on the first retest/hold (if using retest hold)
If not using retest hold: enter only if next bar does not immediately reverse
1m Risk & Targets
PTs are ATR-based. On 1m, ATR is smaller, so targets are naturally tighter.
Use PT1 as a fast scalp, PT2 as stretch.
Suggested execution
Take 70–80% off at PT1
Very small runner to PT2
When to ignore 1m signals
Skip if:
It’s printing against the 15m direction
Price is whipping above/below VWAP repeatedly (chop)
ATR is extremely low (fake signals)
5) “Permission Layer” (15m → 1m workflow)
This is the cleanest way to combine both:
Step 1 (15m)
Use 15m signals as permission:
If 15m prints BULL, then you ONLY take 1m BULL signals for the next 30–90 minutes
If 15m prints BEAR, then you ONLY take 1m BEAR signals
Step 2 (1m)
Use 1m signals for entries and re-entries, with tighter targets.
This matches your framework:
15m = “structure gives permission”
1m = “execution extracts”
6) Ready-to-paste TradingView Descriptions
A) Description for SA 4-Candle Cycle — CLEAN (ATR Auto Targets)
Paste this into your TradingView script description:
SA 4-Candle Cycle (CLEAN) identifies a repeatable market mechanic: impulse → stall/absorption → trap → ignition.
Orange BULL signals print when a 4-candle bullish reversal/continuation cycle completes and price confirms by breaking above the micro-range. Yellow BEAR signals print on the inverse breakdown cycle.
This tool includes ATR-adaptive targets:
STOP = volatility-scaled invalidation level (optionally uses the swing reference candle)
PT1 / PT2 = first and second profit objectives scaled by ATR
Best use
15m: primary signal timeframe (higher quality, fewer signals). Enable VWAP and EMA slope filters for best results.
1m: execution timeframe for scalps and re-entries. Use STRICT/BALANCED sensitivity to reduce noise.
Risk note: This is not financial advice. Always manage risk and confirm with your larger structure levels.
B) Description for SA 4-Candle ATR-Adaptive Cycle — PRO (Looser) + Auto Targets
Paste this into your TradingView script description:
SA 4-Candle Cycle (PRO/Looser) is a higher-frequency variant of the 4-candle cycle model designed to print more signals while still respecting ATR-based structure. It detects impulse → absorption → trap → ignition sequences and plots ATR-scaled STOP, PT1, and PT2 levels automatically.
Best use
15m: use VWAP + EMA slope filters ON for higher probability.
1m: enable retest/hold if you want A+ entries only and fewer false breaks.
This version is ideal when you want earlier detection and more opportunities, while still keeping the risk framework systematic through ATR-adaptive targets.
Risk note: This is not financial advice. Use strict risk management.
Quick Recommendations (so you don’t get flooded)
If you want very high probability:
15m: CLEAN + BALANCED + VWAP ON + EMA slope ON
1m: PRO + VWAP ON + RetestHold ON + (optionally EMA slope ON)
Educational Trend Direction (Up & Down)🔍 Overview
This indicator is designed to visually represent trend direction and trend transitions using a simple moving-average relationship. It is built strictly for educational and analytical purposes, allowing users to observe how price behaves during upward and downward market phases without relying on trading signals or predictions.
The indicator focuses on trend context, not trade execution.
⚙️ How the Indicator Works
The script calculates two exponential moving averages:
A fast trend line that reacts quickly to recent price changes
A slow trend line that represents broader market direction
Trend direction is determined by the relative position of these two lines.
When the fast line moves above the slow line, the market is considered to be in an upward trend phase
When the fast line moves below the slow line, the market is considered to be in a downward trend phase
This relationship helps visualize trend shifts and momentum changes in a simple and intuitive way.
🎨 Visual Components Explained
🟢 Green Trend Line
Represents the fast moving average during upward trend phases
Indicates that price is maintaining strength relative to the broader trend
Color reflects trend direction only, not confirmation or entry
🔴 Red Trend Line
Represents the fast moving average during downward trend phases
Indicates sustained weakness relative to the broader trend
Color does not imply selling or future continuation
⚪ Grey Trend Line
Represents the slow moving average
Acts as a baseline trend reference
Helps distinguish between short-term fluctuations and broader direction
🎨 Background Shading
Light green shading appears during upward trend environments
Light red shading appears during downward trend environments
Background color provides context only and does not signal market actions
🎯 Purpose & Benefits
Helps identify trend phases in a clear and minimal way
Improves understanding of trend transitions and momentum shifts
Reduces visual noise compared to raw price data
Encourages context-based analysis instead of signal dependency
Suitable for all markets and timeframes
⚠️ Important Notes
This indicator does not generate buy or sell signals
No targets, stop levels, or performance metrics are included
Trend conditions are descriptive, not predictive
Past behavior does not guarantee future outcomes
Users should always apply their own analysis and risk management when interpreting market data.
📚 Intended Use
This tool is intended for:
Market trend study
Educational demonstrations
Visual analysis of trend direction
Long-term chart structure awareness
It is not intended for automated trading or decision-making.
BTC/M2 Fire Sniffer (Liquidity Range Z-Score)Howdy Fella. Great to see you here, exploring the true data in CRYPTOCAP:BTC analysis.
To ensure a perfect view on the markets, here are a few tips on how to fine tune the Fire Sniffer:
- Z-Score Lookback: 40
- Liquidity Ratio SuperSmoother Length: 8
- Z-score SuperSmoother Length: 132
Set the ranges as following:
Mean: -0.53
Liquidity Cycle Top: 0.8
Liquidity Cycle Bottom: -0.65
With that, you are set to go. Enjoy and make sure to let me know your thoughts on the script. You can contact me on X: @thebitcoinfrontier
Educational Market Structure & Trend Context🔍 Overview
This time-limited indicator is designed for educational and analytical purposes only. It helps users visually study price structure behavior and trend context by marking key structural points on the chart and overlaying a trend reference line. The indicator does not generate trading signals, predictions, or recommendations.
⚙️ How the Indicator Works
The script analyzes price action over a user-defined lookback period to identify local structural points:
Higher Highs within the selected range
Lower Lows within the selected range
These points are plotted as simple visual markers to help users understand how price is evolving over time.
In addition, a moving average is applied to provide broader trend context.
🟢 Green Markers (Structure Strength)
Appear when price forms a local higher high within the lookback window
Represent relative strength in price structure
They are not buy signals and do not indicate future movement
🔴 Red Markers (Structure Weakness)
Appear when price forms a local lower low within the lookback window
Represent relative weakness in price structure
They are not sell signals and do not indicate reversals
➖ Grey Line (Trend Context Line)
This line is a moving average calculated over a fixed period
It provides trend context only, helping users visually distinguish between upward and downward environments
It does not act as support, resistance, or entry guidance
🎨 Background Shading (Optional Context)
A subtle background color may appear depending on price position relative to the trend line
This shading is purely visual context, not a signal or confirmation
🎯 Purpose & Benefits
Helps users study market structure in a clean and simple way
Encourages price-action awareness instead of signal dependency
Supports manual analysis, learning, and chart reading skills
Keeps the chart minimal, non-predictive, and professional
⚠️ Important Notes
This indicator does not provide buy/sell signals
No targets, stop levels, or profit expectations are included
Past structure points do not predict future outcomes
Users should apply their own analysis and risk management
Celestial StateCelestial State (C1) – Market Bias & Candle Intent
Celestial State (C1) is a price-action indicator designed to clarify market bias, momentum, and risk conditions using nothing but candle structure.
No indicators.
No lag.
Just clean candle logic.
The tool separates state (what the market is) from intent (what the market is doing right now).
🔹 Core Concept
The indicator works on the chart timeframe and uses closed candles only to define market state.
It then monitors the current candle to identify:
momentum confirmation
early warnings
potential trap / reversal behaviour
🔹 Market State (Based on C1 – last closed candle)
State is derived from the relationship between the last two closed candles:
Bull Trend Start
Bearish candle → Bullish candle
Bull Continuation
Bullish candle → Bullish candle
Bear Trend Start
Bullish candle → Bearish candle
Bear Continuation
Bearish candle → Bearish candle
This defines the directional environment before any decision is made.
🔹 Bias & Momentum (Live Candle)
Once state is defined, the current candle is monitored relative to the previous candle’s high and low.
Strong Buy
Bullish state
Previous candle bullish
Current candle breaks previous high
Strong Sell
Bearish state
Previous candle bearish
Current candle breaks previous low
These represent momentum continuation with confirmation.
Buy / Sell (Normal Bias)
Price is in a bullish or bearish state
No momentum break yet
This is directional bias without confirmation.
Changing Bias
Bullish state + previous low broken
Bearish state + previous high broken
This warns that control is being challenged and conditions may be shifting.
🔹 Flip (Strict Order)
A Flip is a high-risk condition where expansion fails:
Bull Flip
Current candle breaks previous high first, then breaks previous low
Bear Flip
Current candle breaks previous low first, then breaks previous high
This often signals:
failed breakouts
stop hunts
transition zones
🔹 Visual Output
Top-right panel shows:
Current Celestial State (C1)
Current Bias (Strong Buy / Sell / Changing Bias)
Short explanation (e.g. High broken, Low broken)
On-chart markers are intentionally minimal and offset away from price to reduce clutter.
🔹 Who This Is For
This indicator is built for traders who:
trade price action
want context before execution
prefer clarity over complexity
understand that bias ≠ entry
⚠️ Disclaimer
This tool does not provide entries, exits, or risk management.
It is a context and intent framework, not a signal system.
Use it as a decision-support layer alongside your own execution rules.
Trend-cycle reversion (multi-timeframe)Trend-cycle reversion (multi-timeframe) is a mean-reversion “stretch” gauge built around a simple idea: price often deviates from its recent path (trend + dominant swing rhythm), and those deviations become more actionable when you scale them by volatility and express them as a standardized score.
This script models the last N bars as:
1) a linear trend (to capture drift), plus
2) a single dominant cycle (to capture the most prominent oscillation inside the same window).
It then measures how far current price is from the model’s next-bar projection, normalizes that distance by ATR (volatility), and finally converts the result into a rolling Z-score. The output is displayed as a multi-timeframe dashboard so you can see “stretch vs. fit” across several time compressions at once.
------------------------------------------------------------
What you see on the chart
------------------------------------------------------------
The indicator draws a table (overlay) with up to 12 rows (configurable), one per timeframe from your CSV list.
Each row shows:
• TF: The timeframe being evaluated (e.g., 1, 5, 15, 60, 240, D).
• Z: The current Z-score of the volatility-scaled model gap on that timeframe.
• State: A simple interpretation using your Z threshold:
- “Short ▼” when Z > +threshold (price is extended above the model path)
- “Long ▲” when Z < −threshold (price is extended below the model path)
- “Hold •” when inside the band (not unusually stretched)
Colors follow the same logic: red for high positive Z, green for high negative Z, gray when neutral or unavailable.
Important: “Long/Short” here describes the direction of mean-reversion pressure (over/under the fitted path), not a complete trading system by itself.
------------------------------------------------------------
How it works (plain-English math)
------------------------------------------------------------
1) Optional log transform
If “Fit on log(price)” is enabled, the model runs on log(price) instead of raw price. This is often useful for markets that behave multiplicatively (large percentage moves, long-term exponential growth), because distances become closer to “percent-like” rather than absolute dollars.
2) Trend fit (linear regression in the window)
Over the last Window Length bars, the script estimates a straight-line trend. Think of this as the baseline path that best explains the window if you ignore swings.
3) Cycle search (best period by least-squares error)
After removing the linear trend, the script searches for a single sinusoidal cycle period between:
• Min Period and Max Period (in bars), stepping by Period Step.
For each candidate period, it computes the best-fitting sine+cosine components and measures the remaining error (SSE). The period with the smallest SSE is selected as the “best” cycle for that window.
To reduce recalculation cost and to keep the chosen cycle from flapping every bar, the script re-runs this period search only every “Re-search best period every N bars”. Between searches, it keeps using the last best period.
4) Next-bar projection and “gap”
Using the fitted trend + fitted cycle, the script projects the model value one bar ahead (relative to the window indexing). It then computes:
gap = (current value) − (projected value)
If “Invert sign” is enabled, the gap is multiplied by −1. This doesn’t change magnitude, it only flips interpretation (useful if you prefer the opposite sign convention).
5) Volatility scaling via ATR
The raw gap is divided by ATR to make it comparable across symbols and regimes. If you are fitting on log(price), ATR is also computed in log space using a log-based true range, then smoothed similarly (so the scale is consistent).
This produces a “gap in ATR units”.
6) Z-score standardization
Finally, the script computes a rolling Z-score of the ATR-scaled gap over “Z-score length”:
Z = (gapATR − mean(gapATR)) / stdev(gapATR)
This is what appears in the table. The Z-score answers: “How unusual is today’s model deviation compared to the last Z-score length observations?”
------------------------------------------------------------
How to interpret the Z-score
------------------------------------------------------------
Z near 0:
Price is close to the model path relative to recent volatility (nothing unusual).
Z above +threshold:
Price is meaningfully ABOVE the fitted path (stretched up). This can be read as elevated downside mean-reversion pressure — but it can also persist during strong trends.
Z below −threshold:
Price is meaningfully BELOW the fitted path (stretched down). This can be read as elevated upside mean-reversion pressure — but it can also persist during fast selloffs.
A practical way to use this indicator is to treat it as a “context filter” or “risk tool”:
• Fading extremes: look for mean-reversion setups when Z is beyond the threshold and price action confirms (e.g., momentum stalls, structure breaks, volatility contraction/expansion cues).
• Trend-aware reversion: only take “reversion” signals in the direction permitted by your separate trend filter (higher-timeframe trend, moving average regime, market structure, etc.).
• Take-profit / risk management: in a trend-following strategy, extremes can be used as partial profit zones or as “don’t chase here” warnings.
------------------------------------------------------------
Multi-timeframe (MTF) notes
------------------------------------------------------------
Each table row is computed with request.security() on that timeframe with no lookahead, so it is not using future bars to form the value.
However, like any live indicator, the value for an actively forming bar can change until that bar closes (especially on the lower timeframes). Also, higher-timeframe rows update when that higher-timeframe bar updates/closes.
------------------------------------------------------------
Inputs (what to change first)
------------------------------------------------------------
If you only change a few settings, start here:
• Window Length:
Controls how much history the model uses. Larger = smoother/stabler, but slower to adapt.
• Min/Max Period + Step:
Controls the cycle search range and granularity.
- Wider ranges can capture more possibilities but cost more computation.
- Smaller steps can find a closer match but also cost more.
• Re-search every N bars:
Higher = faster performance and more stability; lower = more adaptive but can be noisier.
• ATR length (scale gap):
Controls the volatility scale. Shorter reacts faster to volatility changes; longer is steadier.
• Z-score length:
Controls how “rare” extremes are. Longer lengths make Z more stable, but require more history and adapt slower to regime shifts.
• Z threshold:
Defines when the table labels “Long/Short”. Common choices are 1.5–2.5 depending on how selective you want extremes to be.
• Timeframes (CSV) + Max table rows:
Controls what you see in the dashboard.
------------------------------------------------------------
Limitations and expectations
------------------------------------------------------------
This is a single-cycle, windowed model. Markets can be multi-cycle, non-sinusoidal, or structurally shifting; in those cases the “best period” is simply the best approximation inside the window, not a guarantee of a true underlying rhythm.
Z-score extremes are not automatic reversal calls. In strong trends or during volatility shocks, Z can stay extreme longer than expected. Use this as a measurement tool, then combine it with your own confirmation and risk management.
This indicator is for analysis/education and does not provide financial advice.
Day SeparatorTitle: Professional Day Separator & Custom Session Labels
Description: This indicator is a clean and essential tool for intraday traders (M1, M5, M15) who need a clear visual separation between trading days. Unlike the standard TradingView period breaks, this script allows full control over the appearance and the exact timing of the separators to match your broker's server time.
Key Features:
Deep Black Vertical Lines: High-contrast separators for better chart clarity.
Customizable Thickness: Adjust the line width to suit your visual preference and chart background.
Custom Session Start: Perfect for traders whose "day" starts at a specific time (e.g., 23:00) due to broker offsets or specific session focus.
Centered Day Labels: Day-of-the-week labels (M O N, T U E, etc.) are placed at the bottom of the chart and can be perfectly centered between the separators.
Stability: Built using Pine Script V5 with absolute vertical alignment logic to prevent "leaning" or horizontal line glitches.
How to use:
Line Thickness: Adjust the "Linien Dicke" in the settings to make separators more or less prominent.
Align to Broker Time: If your broker starts the new daily candle at 23:00, simply set the "Tagesbeginn" to 23. The separator will then snap to that exact candle.
Perfect Label Centering: Use the "Label Stunde" slider to move the day labels left or right until they are centered between your lines (usually around 11:00 or 12:00 depending on your offset).
Why use this? Standard session breaks often look cluttered or don't align with local time zones/broker sessions. This script keeps your chart professional and ensures you always know exactly which day of the week you are trading.
Auto Trend LinesPivot Left/Right Bars: Higher = fewer but stronger pivots (try 5-15 for weekly charts)
Extend Lines Forward: How far to project (50-200 bars recommended)
Line Color: Change to match your preference
Show Pivot Markers: Turn on to see where pivots are detected
Dual MACD + MFI + Volume Trend [v6] | High-ConvictionMFI MACD VOL to know when to enter and leave trades
CTI Phase Bullish Bearish NeutralMarket Phase Checker. Checking multiple timeframes for confirmation of direction based on Japanese Candlesticks






















