Double Top & Double Bottom DetectorHere is a non repainting: confirmation only after neckline break which double top and bottom pattern indicator which avoids false patterns with volume validation. It also come with clean structure logic (market swings, not noise) and is alert-ready for automation or mobile notification
Indikatoren und Strategien
ES/NQ Confluence All-In-One [FINAL v1]By Ehowtradz this indicator automates confirmation confluences for ICT concepts
OAS Train Track MA SystemTrain tracks for any timeframe or EMA, helps to hold your trades with your specific EMAs
ICT Supply & Demand [KTY]ICT Supply & Demand Indicator
This indicator automatically detects and displays Supply and Demand zones based on swing highs and lows.
Supply and Demand zones are horizontal support/resistance areas where price previously showed strong buying or selling pressure.
Automatic Detection
- Supply Zone (Red): Formed at swing highs where selling pressure was strong
- Demand Zone (Green): Formed at swing lows where buying pressure was strong
- Zones are automatically removed when price breaks through
Dynamic Extension
- Zones extend automatically as new bars form
- Clear visual labels showing SUPPLY and DEMAND
1. Identify Supply and Demand zones on your chart
2. Watch for price reaction when re-entering the zone
3. Combine with Order Block, FVG, or Market Structure for confluence
4. Use zones as reference for take-profit or stop-loss targets
Pro Tips:
- Zones that align with OB or FVG have higher significance
- Multiple touches on a zone increase chance of breakout
- Fresh (untested) zones tend to have stronger reactions
Show Supply & Demand Zones: Toggle zone display on/off
Supply Zone Color: Customize supply zone color
Demand Zone Color: Customize demand zone color
Label Color: Customize text color
Supply Zone Detected
Demand Zone Detected
Supply Zone Broken
Demand Zone Broken
This indicator is designed for educational purposes.
Supply and Demand zones do not guarantee price reversal.
Always combine with proper risk management.
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
Worldclassedge [Patrick nill]plotshape(long, title="BUY", text="Long▲", style=shape.labelup, textcolor=color.white, size=size.auto, location=location.belowbar, color=color.green)
plotshape(short, title="SELL", text="Short▼", style=shape.labeldown, textcolor=color.white, size=size.auto, location=location.abovebar, color=color.red)
alertcondition(long, title="BUY", message="Long▲")
alertcondition(short, title="SELL", message="Short▼")
// VWAP
anchor = input.string("Session", title="Anchor Period")
MILLIS_IN_DAY = 86400000
dwmBarTime = timeframe.isdwm ? time : request.security(syminfo.tickerid, "D", time)
dwmBarTime := na(dwmBarTime) ? nz(dwmBarTime ) : dwmBarTime
var periodStart = time - time
makeMondayZero(dayOfWeek) => (dayOfWeek + 5) % 7
isMidnight(t) => hour(t) == 0 and minute(t) == 0
isSameDay(t1, t2) => dayofmonth(t1) == dayofmonth(t2) and month(t1) == month(t2) and year(t1) == year(t2)
isOvernight() => not (isMidnight(dwmBarTime) or request.security(syminfo.tickerid, "D", isSameDay(time, time_close), lookahead=barmerge.lookahead_on))
tradingDayStart(t) => timestamp(year(t), month(t), dayofmonth(t), 0, 0)
numDaysBetween(t1, t2) =>
diff = math.abs(tradingDayStart(t1) - tradingDayStart(t2))
diff / MILLIS_IN_DAY
tradingDay = isOvernight() ? tradingDayStart(dwmBarTime + MILLIS_IN_DAY) : tradingDayStart(dwmBarTime)
isNewPeriod() =>
var isNew = false
if tradingDay != nz(tradingDay )
isNew := switch anchor
"Session" => na(tradingDay ) or tradingDay > tradingDay
"Week" => makeMondayZero(dayofweek(periodStart)) + numDaysBetween(periodStart, tradingDay) >= 7
"Month" => month(periodStart) != month(tradingDay) or year(periodStart) != year(tradingDay)
"Year" => year(periodStart) != year(tradingDay)
=> false
isNew
srcVWAP = hlc3
var float sumSrc = 0
var float sumVol = 0
if isNewPeriod()
periodStart := tradingDay
sumSrc := 0
sumVol := 0
if not na(srcVWAP) and not na(volume)
sumSrc += srcVWAP * volume
sumVol += volume
vwapValue = sumSrc / sumVol
plot(vwapValue, title="VWAP", color=color.red, linewidth=3)
// =
enableCloud = input.bool(false, "Enable Cloud")
lenn = input.int(20, "Period")
mult = input.float(2.5, "StdDev Multiplier")
tc = input.int(25, "Gauge Size", minval=3)
upColor = input.color(#00ffbb, "Up Color")
downColor = input.color(#ff1100, "Down Color")
basis = ta.sma(close, lenn)
upper1 = basis + ta.stdev(close, lenn) * mult
lower1 = basis - ta.stdev(close, lenn) * mult
// TP
var int position = 0
if long
position := 1
else if short
position := -1
ICT Premium & Discount [KTY]ICT Premium & Discount Indicator
This indicator automatically displays Premium and Discount Zones based on ICT (Inner Circle Trader) methodology.
Premium & Discount zones divide the current price range into upper and lower areas based on swing highs and lows. This helps traders understand where price sits within the broader range.
Three-Zone Structure
- Premium Zone (Red): Upper portion of the range
- Equilibrium (Gray Dashed): Middle 50% line, fair value reference point
- Discount Zone (Green): Lower portion of the range
Multi-Timeframe Support
- Display zones from two different timeframes simultaneously (LTF & HTF)
- HTF zones carry more significance than LTF zones
Dynamic Range Calculation
- Automatically identifies swing high and low for the selected timeframe
- Zones update as new highs/lows form
1. Identify the current zone - Is price in Premium, Equilibrium, or Discount?
2. Combine with Market Structure - Use CHoCH/BOS to confirm directional bias
3. Look for confluence - OB, FVG, or Liquidity zones within Premium/Discount add significance
4. Use Equilibrium as reference - Price often reacts around the 50% level
Pro Tips:
- HTF zones (4H, 1D) are more significant than LTF zones
- Most effective when combined with other ICT concepts
- Ranging markets may see price oscillate between zones without clear direction
Show Premium & Discount Zones: Toggle zone display on/off
LTF: Enable and select lower timeframe for zone calculation
HTF: Enable and select higher timeframe for zone calculation
Price Entered Premium Zone
Price Entered Discount Zone
This indicator is designed for educational purposes.
Always combine with proper risk management.
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
ICT Market Structure [KTY]ICT Market Structure Indicator
Overview
This indicator automatically detects and displays Market Structure based on ICT (Inner Circle Trader) methodology.
Market structure analysis identifies trend direction and potential reversal points by tracking swing highs and lows. Understanding structure is fundamental to ICT trading concepts.
Key Features
Internal & External Structure
Internal Structure: Short-term swings for quick trend detection (displayed with dashed lines)
External Structure: Long-term swings for major trend identification (displayed with solid lines)
Choose to display Internal, External, Both, or None
CHoCH & BOS Detection
CHoCH (Change of Character): First sign of potential trend reversal
BOS (Break of Structure): Confirmation of trend continuation
Internal labels: lowercase (choch/bos)
External labels: uppercase (CHOCH/BOS)
Equal Highs & Equal Lows
EQH: Multiple highs at similar price levels — liquidity pool above
EQL: Multiple lows at similar price levels — liquidity pool below
Smart money often sweeps these levels before reversing
Swing Point Labels
HH (Higher High): Uptrend continuation
HL (Higher Low): Uptrend confirmation
LH (Lower High): Downtrend continuation
LL (Lower Low): Downtrend confirmation
How to Use
Identify the trend using HH/HL (bullish) or LH/LL (bearish) patterns
Wait for CHoCH as the first signal of potential reversal
Confirm with BOS in the new direction
Watch EQH/EQL levels for potential liquidity sweeps
Combine with OB, FVG, Liquidity zones for higher probability setups
Pro Tips:
External structure is more reliable than internal structure
CHoCH after liquidity sweep = high probability reversal
Multiple timeframe analysis increases accuracy
Internal CHoCH can provide early entries, but with higher risk
Settings
SettingDescriptionStructure TypeSelect INTERNAL, EXTERNAL, ALL, or NONEInternal Structure ColorsCustomize bullish/bearish colors for internal structureExternal Structure ColorsCustomize bullish/bearish colors for external structureEQL & EQHToggle equal highs/lows display with custom colorsSwing PointsToggle HH/HL/LH/LL labels with custom color
Alerts
Structure Alerts:
🟢 Bullish CHoCH (Internal)
🔴 Bearish CHoCH (Internal)
🟢 Bullish CHOCH (External)
🔴 Bearish CHOCH (External)
🟢 Bullish BOS (Internal)
🔴 Bearish BOS (Internal)
🟢 Bullish BOS (External)
🔴 Bearish BOS (External)
Equal Levels Alerts:
🔴 Equal Highs (EQH)
🟢 Equal Lows (EQL)
Swing Point Alerts:
📈 Higher High (HH)
📈 Higher Low (HL)
📉 Lower High (LH)
📉 Lower Low (LL)
Notes
This indicator is designed for educational purposes
Internal structure provides faster signals but more noise
External structure is slower but more reliable
Always combine with proper risk management
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
Logarithmic Fair Value Anchor | PWLogarithmic Fair Value Anchor
This indicator overlays a dynamic "fair value" estimate on the price chart, anchored to the logarithmic rate of change (ROC) of a user-selected reference asset. It aims to provide a relative valuation perspective by comparing the chart symbol's smoothed log-price to the momentum of the anchor, with optional deviation bands for contextualizing price extremes. The design draws from observations of cross-asset relationships (e.g., liquidity proxies or commodities influencing crypto/equities), offering a flexible tool for exploring mean-reversion or divergence setups.
Core Mechanics and Math Overview
At its foundation, the fair value line starts with a baseline: the exponential of an EMA-smoothed natural log of the close price over a user-defined lookback (default 180 bars). This log transformation helps handle exponential growth common in assets like BTC, creating a smoother, scale-invariant trend estimate.
The anchor's influence is incorporated via its 1-period ROC (percentage change), smoothed with an EMA over the same lookback. This "base influence" multiplicatively adjusts the baseline: fair_value = baseline * exp(base_influence). An optional correlation filter weights this adjustment based on the absolute Pearson correlation between log(prices) and log(anchor) — if correlation falls below a threshold (default 0.0), the influence is reduced or zeroed, allowing manual override for custom emphasis.
The result is further smoothed with a DEMA (default length 14) for responsiveness. Deviation bands are plotted multiplicatively around this fair value using exp(deviation * level), ensuring proportionality on log charts. Users can switch between three band types:
Log Stdev: Standard deviation of the log(price / anchor) ratio over the lookback — dynamic and volatility-responsive.
Static Sigma: A fixed user-input deviation value (default 0.15) — non-adaptive, providing consistent relative widths influenced by the anchor's scale.
ATR: Relativized Average True Range (ATR / fair_value * scaling multiplier, default 3.0) — adjusts to recent range but smoother than stdev in high-vol markets.
Bands are asymmetric (separate upper/lower multipliers, defaults 1.8/1.25) with three levels (1-3x deviation), highlighting potential overbought/oversold zones.
Key Features
Anchor Flexibility: Predefined options include Gold (XAUUSD), Silver (XAGUSD), S&P 500 (SPX), BTC, or custom proxies like Global Liquidity Index (GLI) aggregates from FRED/ECONOMICS data sources.
Trend and Visuals: Basic trend detection (price vs. offset fair value) colors bars orange (bullish) or blue (bearish). Extreme band touches add diamond markers and background fills for quick identification.
Info Table (Toggleable): A compact dashboard showing current fair value, trend direction/duration (simple 8-bar slope and streak counter), z-score deviation (log(price / fair_value) / base_deviation, with approximate normal percentile for statistical context), and neutral bias notes.
Customization: Inputs for lengths, offsets, multipliers, and correlation settings allow tailoring to different assets or timeframes.
What Makes This Approach Distinct
Inspired by fair value models seen in online discussions (e.g., on X/Twitter), this script evolved from a liquidity-specific idea to a generalizable anchor-based tool. The logarithmic ROC adjustment provides a novel way to "pull" the fair value toward an external reference without direct ratioing, differing from traditional pairs trading or simple moving averages. Band variety addresses practical challenges like excessive volatility in crypto (where stdev bands can widen dramatically), offering alternatives like static sigma for benchmark-style consistency or ATR for range-focused adaptation — an exploration not commonly combined in one indicator.
Usage Suggestions
On Crypto Charts: Use GLI/M2 proxies as anchors for macro liquidity context; switch to ATR bands (longer ATR length like 180) to tame vol spikes. Monitor z-score >2σ for potential pullbacks.
On Equities/Indices: Anchor to Gold for inflation views or S&P for broad market ties; static sigma bands can highlight persistent deviations in trending regimes.
General Tips: Enable log scale on TradingView for visual accuracy. Use the offset (default 90) to "project" fair value forward for anticipation. Combine with your own filters — e.g., band crosses as entry signals or percentile extremes (>95%) as overextension alerts. The table's deviation metric helps quantify "how far" price has strayed, assuming approximate log-normality.
Testing: Backtest on historical data across anchors/bands to see fit; shorter lookbacks for intraday, longer for swings.
Available Anchors and Their Purpose
The indicator lets you select different reference assets/symbols to influence the fair value calculation. Each anchor brings its own momentum and context to the relative valuation:
Gold (XAUUSD) — Tracks gold price as a classic safe-haven and inflation-sensitive asset. Useful for spotting divergences in risk-on/risk-off environments.
Silver (XAGUSD) — Similar to gold but often more volatile and industrial-demand driven. Can highlight commodity cycles or broader metal trends.
S&P 500 (TVC:SPX) — Represents broad U.S. equity market performance. Helpful for comparing the chart asset to overall stock-market momentum.
BTC (INDEX:BTCUSD) — Self-referencing anchor (BTC to BTC). Useful as a neutral baseline or for testing the indicator's behavior on its native symbol.
GLI Proxy — An experimental, user-constructed approximation of global liquidity conditions. It combines select central bank balance sheet data (FRED/ECB/Japan/China) with major FX rates to create a rough composite proxy. Not an official economic index — purely illustrative and simplified for visualization purposes.
M2 Proxy — An experimental synthetic measure attempting to capture broad money supply trends across major economies (U.S., Eurozone, Japan, China, UK). It aggregates M2 data series multiplied by relevant exchange rates and scaled. Like the GLI proxy, this is not an economist-endorsed or precise M2 aggregate — it's a basic, illustrative construction meant for exploratory macro context only.
Important Notes on Proxies
The GLI Proxy and M2 Proxy are experimental approximations created within Pine Script using publicly available economic data feeds. They are not accurate substitutes for official global liquidity or money-supply metrics published by central banks or research institutions. Values can be noisy, delayed, or incomplete depending on data availability.
For best results, users should:
Test different anchors on their chosen asset and timeframe.
Adjust lookback length, correlation threshold, band type, and multipliers to better fit the specific market (e.g., longer lengths for lower timeframes or high-vol assets like crypto).
Be aware that proxy-based anchors may behave differently across symbols due to data quirks or correlation shifts.
This flexibility is what makes the tool adaptable — but it also means results are highly dependent on user configuration and market conditions.
This is an exploratory valuation overlay — results vary by market, settings, and anchor relevance. Not intended as trading advice; always verify with independent analysis.
Notes
Pine Script v6; requires access to external symbols via request.security().
Potential for minor repainting on realtime bars due to smoothing.
Community input welcome for refinements!
XAU CAPITAL Premium ZonesXAU CAPITAL • Premium Support & Supply Zones is a minimalist yet powerful TradingView indicator designed for traders who prefer clarity over clutter.
This indicator automatically detects key Support and Supply zones based on pivot structure and price behavior, helping traders identify high-probability reaction areas where price is likely to pause, reverse, or continue.
🔍 Key Features:
✔ Automatically plotted Support & Supply zones
✔ Clean, transparent zones for clear price visibility
✔ EMA-based trend structure for directional bias
✔ Works smoothly on XAUUSD (Gold) and other markets
✔ Ideal for SMC, price action & intraday trading
✔ Non-repainting structure logic
🎯 Best Used For:
Gold (XAUUSD) trading
Intraday & swing setups
Entry refinement at key zones
Market structure & trend alignment
⚠️ This indicator is a technical tool and should be used with proper risk management and confirmation.
Multi-Session Volume Profile [MarkitTick]💡 This comprehensive Multi-Session Volume Profile indicator offers a sophisticated, array-based approach to Auction Market Theory. By simultaneously processing Daily, Weekly, Monthly, and Custom Session profiles, it empowers traders to visualize the migration of value across multiple timeframes without the performance overhead of standard heavy profile scripts. It is designed to identify key liquidity nodes, support/resistance zones defined by volume, and the directional bias of the market through Point of Control (POC) shifts.
✨ Originality and Utility
● Multi-Dimensional Value Analysis
Unlike standard volume profiles that often restrict users to a single timeframe or require multiple instances of an indicator, this script consolidates four distinct profile calculations into a single, efficient tool. It leverages Pine Script® arrays and custom types (`VPSlot`, `VolumeProfile`) to dynamically calculate volume distribution, ensuring minimal lag while maintaining high data granularity.
● Dynamic POC Shift Tracking
A standout feature of this utility is the "Shift Analysis." The indicator does not merely plot the current Point of Control; it calculates the delta between the current session's POC and the previous session's POC. This provides immediate visual feedback on "Value Migration"—whether the market is accepting higher prices (Bullish Shift) or lower prices (Bearish Shift).
● Granular Control via Custom Types
The script utilizes a custom quantitative structure (`type VolumeProfile`) to manage raw volume, highs, lows, and volatility slots independently for each timeframe. This allows for precise "row" calculations, ensuring that the volume distribution accurately reflects price action within the specific session, rather than broad approximations.
🔬 Methodology and Concepts
● Array-Based Bucketing
The core engine relies on a "Row Size" input to divide the session's price range into horizontal buckets (slots). As new price bars form, the script distributes the bar's volume across these slots. If a bar spans multiple slots, volume is distributed proportionally; if a bar is contained within a single slot, the total volume accumulates there. This mimics a true TPO (Time Price Opportunity) calculation using volume as the weight.
● Statistical Value Area Calculation
The Value Area (VA) is determined using a standard deviation proxy. The script identifies the POC (the slot with the highest accumulated volume) and then iteratively adds the next highest volume slots above or below the POC until the total accumulated volume reaches the user-defined percentage (default 70%).
● Session Logic and Reset
The indicator employs state-logic variables (`isNewDay`, `isNewWeek`, `isNewMonth`) to detect session boundaries. Upon a boundary cross, the `reset()` method clears the arrays and initializes a new profile, while the `draw()` method finalizes the visualization of the completed session. This ensures that the lines on the chart always represent the developing or completed structure of the specific time period.
🎨 Visual Guide
The indicator renders up to four distinct profiles, each color-coded for rapid identification.
● Daily Profile (Default: Yellow)
Solid Yellow Line: Represents the Daily POC (Point of Control)—the price level with the most volume traded today.
Dashed/Dotted Yellow Lines: Represent the Value Area High (VAH) and Value Area Low (VAL).
Yellow Background Box: Highlights the 70% Value Area, showing where the bulk of the day's trading occurred.
● Weekly Profile (Default: Blue)
Solid Blue Line: The Weekly POC. Use this to gauge the medium-term trend direction.
Blue Background: Encapsulates the weekly value area. A breakout from this zone often signals a significant trend continuation.
● Monthly Profile (Default: Purple)
Solid Purple Line: The Monthly POC. This is a high-timeframe magnet level, often acting as major support or resistance.
Purple Background: Shows the macro acceptance zone for the asset.
● Custom Session Profile (Default: Cyan)
Solid Cyan Line: Tracks the POC for a specific time window (e.g., 09:30-16:00). Ideal for isolating RTH (Regular Trading Hours) from electronic sessions.
● Labels and Shift Arrows
Right-Side Labels: Display the exact price of the POC for each active profile.
Shift Indicators (▲ / ▼): Located inside the label. A "▲" indicates the current POC is higher than the previous session's POC (Value Migration Up), while "▼" indicates the opposite.
📖 How to Use
● Trend Confirmation via Value Migration
Observe the Shift Arrows in the labels. If the Daily and Weekly profiles both show "▲" (Up Shift), it confirms that value is migrating higher, suggesting a healthy uptrend. Do not short the market when value is migrating up unless price breaks below the VAL.
● Mean Reversion Trades
When price extends far away from the POC but fails to establish value (volume) at those new levels, it often reverts back to the POC. Use the POC lines as profit targets for mean reversion strategies.
● Breakout Validation
A breakout is considered valid if price closes outside the Value Area (Background Box) and volume begins to build at the new levels. If price spikes out of the VAH but quickly returns inside the box, it is a "Failed Auction," and a rotation to the VAL is probable.
● Confluence Zones
Look for price levels where the Daily POC and Weekly VAL/VAH overlap. These "clusters" of volume act as reinforced support or resistance levels.
⚙️ Inputs and Settings
● General Settings
Row Size: Determines the resolution of the profile. Higher numbers (e.g., 100) give smoother, more precise profiles but use more resources. Lower numbers (e.g., 24) are blockier but faster.
Value Area %: The percentage of total volume to include in the VA. Standard is 70.0.
Show POC Shift Analysis: Toggles the display of the ▲/▼ drift comparison.
● Profile Toggles (Daily, Weekly, Monthly, Session)
Each section has individual toggles for Show Profile , Show Value Area , and Show Background .
Start of Week Day: Allows you to define when the weekly profile resets (e.g., Sunday or Monday).
● Alert Settings
Approach Distance (Ticks): Defines how close price must get to a POC/VAH/VAL level to trigger an "Approaching" alert.
Enable Alerts: Master switch to turn on internal alert condition checks.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Auction Market Theory (AMT)
The script is grounded in Auction Market Theory, which posits that the market's primary purpose is to facilitate trade. Price advertises opportunity, and Volume records the acceptance of that opportunity. The "Value Area" represents the fair value established by buyers and sellers, while the POC represents the price of maximum consensus.
● Gaussian Distribution Application
The calculation of the Value Area at 70% is derived from the statistical properties of a Normal (Gaussian) Distribution, where approximately 68.2% of data points typically fall within one standard deviation of the mean. In this script, the POC acts as the mode (peak frequency), and the Value Area represents that first standard deviation of transactional volume.
● Volume-Price Integration
By integrating volume into price buckets (`VPSlot`), the indicator transforms two-dimensional time/price data into three-dimensional data (Time, Price, Volume). This reveals the "texture" of the market structure, distinguishing between high-volume nodes (strong acceptance) and low-volume nodes (rejection or emotional trading).
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Break & Retest 369Break & Retest 369
The Break & Retest 369 is a high-precision technical indicator designed for price action traders who specialize in market structure shifts and "S/R Flip" (Support becoming Resistance and vice versa) strategies. Unlike standard oscillators that lag behind price, this tool focuses on **horizontal price levels** that have historically acted as turning points, providing visual zones where the market is likely to offer a "second chance" entry.
Core Philosophy
The script is built on the principle of Market Memory. In a trending market, a "Breakout" signifies a change in order flow. However, smart money often returns to the point of origin (the breakout level) to fill remaining orders or test the strength of the new trend. This indicator automates the identification of these "Retest" zones, which are often the highest-probability entry points for trend continuation.
How It Works: The Logic
The indicator follows a strict, multi-step calculation process:
1. Swing Point Identification: It utilizes a Pivot High/Low** algorithm. It scans for "peaks" and "valleys" that are isolated by a specific number of bars on either side (defined by the `Lookback` input).
2. **Breakout Detection:** The script monitors these pivot levels. A **Buy Zone** is triggered only when the price achieves a clean **Close** above a previous Pivot High. Conversely, a **Sell Zone** is triggered by a **Close** below a previous Pivot Low.
3. **Zone Construction:** Once a break is confirmed, the script draws a box centered exactly at the price level of the broken pivot.
4. **Forward Projection:** These zones are projected forward in time using the `Zone Extension` parameter, creating a visual "landing strip" for future price action.
### Key Features & How to Use It
* **Dynamic Support/Resistance Flips:** Green zones represent former resistance levels that are now expected to act as support. Red zones represent former support levels now expected to act as resistance.
* **Zone Customization:** Traders can adjust the `Zone Height (Ticks)` to account for market volatility or specific asset spreads (e.g., wider zones for XAUUSD, tighter for EURUSD).
* **Scannability:** The script helps traders filter out the "noise" of mid-range price movement and focus only on significant structural levels.
### Default Configuration
To get the most out of the **369** logic, the indicator comes pre-configured with the following defaults:
* **Swing Detection Lookback (18):** Optimized for medium-term structure, avoiding "micro-pivots" that lead to false signals.
* **Zone Height (1 Tick):** Focuses on the precise price point of the pivot for maximum accuracy.
* **Zone Extension (90 Bars):** Projects levels far enough to catch "deep" retests that occur several hours or days later.
---
### Pro Tip for Traders
Wait for price to return to a **Buy Zone** and look for a bullish rejection candle (like a pin bar or engulfing candle) before entering. This combines the "Where" (the zone) with the "When" (the price action confirmation) for a robust trading system.
Would you like me to add a **"Mitigation"** feature that automatically deletes or fades the zone once the price has successfully touched it?
ICT ORG with EightsICT ORG with Eights
What It Does
Plots the RTH overnight gap (4:15pm close → 9:30am open) with eighth-level divisions instead of just quartiles.
Gap Levels:
0.000 (Low) | 0.125 | 0.250 | 0.375 | 0.500 (Mid) | 0.625 | 0.750 | 0.875 | 1.000 (High)
Key Features
Visual gap box between previous close and current open
6 additional levels beyond standard quartiles (0.125, 0.375, 0.625, 0.875)
Customizable labels with dates for each level
Auto SPY detection (adjusts close time to 4:00pm)
Historical gaps - show 1-10 previous days
Extend right - project levels forward with buffer bars
Quick Setup
Best on 5min charts or lower
Start with 1-2 historical boxes for clean charts
Toggle eighth lines on/off as needed
Use labels to track which gap/date you're looking at
Use Cases
Gap fill trading - precise entry/exit at eighth levels
S/R levels - eighths often act as support/resistance
Profit targets - use 0.125/0.875 for extreme reversals, 0.375/0.625 for partial fills
Settings
Time offsets for international indices
No plot session to pause drawing during specific hours
Full customization of colors, styles, widths, labels
Why Eighths?
More granularity = better entries. The 0.125/0.875 and 0.375/0.625 levels provide additional confluence zones where price frequently reacts during gap fills.
Ichimoku Cloud Laboratory [DAFE]Ichimoku Cloud Laboratory : The Ultimate All-In-One Trend & Equilibrium Engine
50+ Cloud Engines. Multi-Cloud Architecture. Advanced Signal Filtering. This is Not Just Ichimoku. This is the Evolution of Market Equilibrium.
█ PHILOSOPHY: BEYOND THE CLOUD, INTO THE LABORATORY
The Ichimoku Kinko Hyo is more than an indicator; it is a complete trading philosophy, a masterpiece of market analysis that provides an "at-a-glance" view of trend, momentum, and equilibrium. However, its core calculation—the simple midpoint of the high and low—was conceived in a pre-computer era. While brilliant, it is blind to the modern market's most critical force: the nuanced character of volume, volatility, and microstructure.
The Ichimoku Cloud Laboratory was not created to be another Ichimoku clone. It was engineered to be the definitive evolution of Goichi Hosoda's original vision. This is not just an indicator; it is a powerful, interactive research environment. It is a laboratory where you, the trader, can move beyond the static "one-size-fits-all" approach and forge an Ichimoku system that is perfectly synchronized with the unique physics of your market, timeframe, and analytical style.
We have deconstructed the very DNA of the Cloud, replacing its rigid 1930s-era calculation with a library of over 50 distinct, mathematically diverse calculation engines . From classical moving averages and advanced DSP filters to proprietary DAFE quantum models, this suite provides an unparalleled arsenal for visualizing the true, underlying architecture of market equilibrium.
█ WHAT MAKES THIS A "LABORATORY"? THE CORE INNOVATIONS
This tool stands in a class of its own. It is a collection of what could be 50 separate indicators, all seamlessly integrated into one powerful, unified engine.
The 50+ Algorithm Engine: This is the heart of the Laboratory. You are no longer bound by the simple Donchian midpoint. You can now swap the core calculation engine of the Tenkan-sen, Kijun-sen, and Senkou Span B with any of over 50 algorithms. Want a zero-lag, Hull MA-based cloud? A volume-weighted cloud that gravitates towards liquidity? A cloud that adapts its speed based on market entropy? You now have the power to construct it.
Multi-Cloud Architecture: This revolutionary feature allows you to stack up to three layers of the Ichimoku cloud on your chart, each calculated with a progressively longer timeframe multiplier. This transforms the flat, two-dimensional cloud into a rich, three-dimensional "heatmap" of support and resistance. You can instantly see the alignment (or conflict) between the short-term, medium-term, and long-term trends.
Advanced Signal Logic & Filtering: Go beyond the simple TK Cross. The Laboratory includes eight distinct, built-in signal strategies, from the classic "Kumo Breakout" to the high-conviction "Perfect Order." Crucially, you can then fortify these signals with a professional-grade filter module, requiring confirmation from Volume, ATR (volatility), or ADX (trend strength) before a signal is even considered valid.
Proprietary DAFE Engines: The crown jewels of the Laboratory. These are custom-built, proprietary algorithms you will not find anywhere else, designed to infuse the cloud with modern quantitative analysis:
DAFE Flux Reactor: A cloud that breathes with volatility, automatically tightening in squeezes and expanding in trends.
DAFE Tensor Cloud: Uses a 4-dimensional average (OHLC) to create a cloud that tracks the "true" center of price action.
DAFE Quantum Step: A noise-canceling cloud that only moves when price exceeds a volatility-based threshold.
DAFE Gravity Well: A volume-weighted cloud that is magnetically pulled towards high-liquidity zones.
Integrated Performance Engine & Dashboard: How do you know which of the 50+ engines is best? You test it. The built-in Performance Dashboard tracks every trade generated by your chosen configuration, while the main dashboard provides a comprehensive, at-a-glance summary of the entire Ichimoku system's current state.
█ A GUIDED TOUR OF THE ALGORITHMIC CORE
This is your library of mathematical DNA. The 50+ engines are your tools to build the perfect cloud.
THE ENGINE FAMILIES
The Classics (Hull MA, ZLEMA, KAMA, VIDYA): Replace the choppy Donchian midpoint with smooth, low-lag, or adaptive moving averages to create a more responsive and readable cloud.
The DSP & Quantitative Masters (SuperSmoother, Kalman, Gaussian, Laguerre): Employ advanced digital signal processing and statistical filtering to construct a cloud that is surgically precise in its separation of trend "signal" from market "noise."
The Volume-Based (VWMA, VWAP, Money Flow Weighted): Build a cloud that is not just based on price, but is weighted by participation. This creates a cloud that automatically respects high-liquidity zones as stronger levels of support and resistance.
The Adaptive Geniuses (ATR-Scaled, Volatility-Modulated, Efficiency Ratio, Entropy): These are "smart" engines that analyze the market's character—its volatility, trendiness, or disorder—and adapt the cloud's calculation in real-time. The result is a cloud that is stable in chop and dynamic in trends.
The DAFE Proprietary Engines: The pinnacle of cloud engineering. These exclusive algorithms allow you to build clouds based on principles of physics, institutional analysis, and quantum mechanics, creating a truly next-generation analytical tool.
█ STRATEGIC APPLICATION: FROM SIGNALS TO STRUCTURE
The Laboratory transforms Ichimoku from a simple signal generator into a complete market structure framework.
The Signal Logic: You are not limited to one strategy.
TK Cross: For classic momentum signals.
Kumo Breakout: For pure price action breakout strategies.
Perfect Order: The ultimate filter. By requiring Price > Cloud > Tenkan > Kijun, you filter for only the strongest, most established trends, eliminating the majority of false signals.
Cloud Twist: A forward-looking, predictive signal. The twist of the future cloud often pinpoints the exact timing of a potential trend reversal.
The Multi-Cloud Strategy: This is the professional's view. By enabling 3 Cloud Layers, you can see the market's fractal nature.
Layer 1 (Standard): Your short-term operational trend.
Layer 2 (e.g., 2x Periods): Your medium-term structural trend.
Layer 3 (e.g., 3x Periods): Your long-term macro trend.
The Strategy: Wait for price to pull back into the space between the 2nd and 3rd cloud layers—the "macro support/resistance zone"—and then take a signal from the 1st layer in the direction of the overall trend. This is a high-probability institutional setup.
█ THE MASTER DASHBOARD: YOUR "AT-A-GLANCE" COMMAND CENTER
The dashboard provides a comprehensive, real-time summary of the entire Ichimoku system's state.
Engine & Periods: Instantly confirm which of the 50+ engines and period settings are active.
Status Readout: Get an immediate, color-coded verdict on the three core Ichimoku components: Price vs. Cloud, the TK Cross, and the Future Cloud bias.
Momentum & Strength Gauge: A proprietary score that quantifies the overall bullish or bearish momentum of the system, and a "Strength" bar that visualizes the conviction of the current alignment.
Performance Data: If enabled, the dashboard will display your strategy's key performance metrics, including Win Rate, Profit Factor, and Net P&L.
█ DEVELOPMENT PHILOSOPHY
The Ichimoku Cloud Laboratory was born from a deep respect for Goichi Hosoda's original work and a relentless desire to push it into the 21st century. We believe that in modern markets, static tools are obsolete. The future of trading lies in adaptation, customization, and multi-dimensional analysis. This tool is for the serious trader, the systems thinker, the architect—the individual who is not content with a black box, but who seeks to understand, test, and refine their edge with surgical precision.
The Ichimoku Laboratory is designed to be the ultimate tool for that reaction, providing a crystal-clear, multi-layered view of what the market is telling you—not just through price, but through the very fabric of its equilibrium.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides a sophisticated market structure and signal framework. It must be integrated into a complete trading plan that includes your own analysis and risk management.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose.
START WITH A ROBUST BASE: Begin with the "Traditional" preset and the "Standard Donchian" engine to master the classic feel. Then, experiment with a low-lag engine like the "Hull Moving Average" to see the immediate benefit of a smoother, more responsive cloud.
USE CONFLUENCE: The highest probability signals come from confluence. A "TK Cross" buy signal that occurs above a bullish "Multi-Cloud" structure, confirmed by a "Perfect Order" and high volume, is an A++ setup.
"The essence of success in the market is not forecasting, but reacting to what the market is telling you right now."
— J. Welles Wilder Jr.
Taking you to school. - Dskyz, Trade with Anticipation. Trade with Strength. Trade with RSI: Evolved
ATR Deviation Sigmoid Oscillator# ATR Sigmoid Volatility Regime Oscillator
## What This Indicator Does
The **ATR Sigmoid Volatility Regime Oscillator** is a volatility-regime detection tool designed to answer a single, critical question:
> *Is the market currently in a low-volatility or high-volatility regime—relative to its own recent behavior?*
Instead of using raw volatility values, this indicator **contextualizes volatility** by comparing the current ATR (Average True Range) to its own historical baseline and then mapping that deviation into a bounded, interpretable scale.
---
## How It Works (Conceptual)
1. **ATR Calculation**
The indicator starts with the standard ATR, which measures market volatility without direction.
2. **Baseline via EMA**
An EMA of ATR is used as a dynamic volatility baseline. This adapts to changing market conditions instead of relying on static thresholds.
3. **Relative Deviation**
The difference between ATR and its EMA represents how "unusual" current volatility is relative to its recent history.
4. **Normalization**
This deviation is normalized using ATR’s own dispersion, ensuring comparability across assets and timeframes.
5. **Sigmoid Transformation (0–100)**
A sigmoid function maps the normalized value into a **bounded 0–100 oscillator**, producing:
* Stability at extremes
* Smooth regime transitions
* No unbounded spikes
---
## How to Read the Oscillator
* **Above 50 (Green)**
High-volatility regime. Momentum strategies, breakout logic, and wider risk parameters tend to perform better.
* **Below 50 (Red)**
Low-volatility regime. Mean-reversion, range trading, and tighter risk controls are generally more appropriate.
* **The 50 Level**
Acts as a *volatility regime boundary*, not a buy/sell signal.
This indicator is **not directional**. It is a *context filter*.
---
## What This Indicator Is Best Used For
* Enabling/disabling strategies based on volatility regime
* Filtering false signals in low-volatility environments
* Position sizing and stop-distance adaptation
* Multi-asset volatility comparison using a common scale
---
## What This Indicator Is NOT
* ❌ Not a buy or sell signal
* ❌ Not a trend indicator
* ❌ Not predictive on its own
It is designed to be used **in combination with price, trend, or momentum logic**.
---
## Disclaimer
This indicator is provided for **educational and informational purposes only**.
It does not constitute financial advice, investment recommendations, or an offer to buy or sell any financial instrument. Trading involves risk, and past performance does not guarantee future results.
You are solely responsible for any trading decisions you make using this tool.
---
## Like This Indicator?
If you find this volatility regime tool useful:
* ⭐ **Add it to your favorites**
* 💬 **Leave a comment or feedback** — suggestions are welcome
* 👤 **Follow for future updates and new quantitative tools**
Your support helps improve and refine this work.
---
*Designed with a quantitative, regime-based approach to market analysis.*
SwiftEdge ApexThis open-source indicator is designed to help traders visually identify aggressive volume activity ("big trades"), place it in the context of dynamic price deviation from an exponentially weighted VWAP, track a developing Point of Control (POC) during a user-defined session, and highlight potential absorption or exhaustion patterns.
Core Components and Original Integration:
Adaptive VWAP with EWMA Deviation Bands
Instead of a standard cumulative VWAP, the script calculates an exponentially weighted moving average (EWMA) of variance on price-volume data (using a user-adjustable lambda sensitivity). This produces smoother, faster-adapting standard deviation bands (1σ to 3σ) that highlight statistically significant price extensions more responsively than simple moving averages.
Tiered Big Trade Detection (Footprint-Style Bubbles)
Volume is compared against a simple moving average over a user-defined lookback period. Trades exceeding customizable multipliers (1.2× to 8×) and a minimum volume threshold are flagged.
For Premium users, the bubble is plotted at the volume-weighted average price within the bar's 1-second sub-bars (true footprint precision). Non-Premium users fall back to the bar's close price (no errors occur). Bubble size scales with multiplier strength, with white outlines on the largest ones for clarity, and bubbles are colored green/red based on candle direction.
Live Session-Based POC
Volume is accumulated at price levels (rounded to 10 ticks) starting from a configurable session time (default 09:00). The array resets on new sessions or daily changes, producing a developing POC line that acts as a potential value-area magnet or support/resistance reference.
Absorption & Exhaustion Filters
Absorption: High-volume bars with unusually small range (below average range × user multiplier) are marked with lime/red triangles — suggesting hidden buying/selling pressure.
Exhaustion: Extremely high-volume bars with tiny bodies (small close-open relative to range) receive a background tint and "EXH" label — indicating potential climactic activity or fatigue.
How the Elements Work Together:
The VWAP bands provide overall market context (is price extended?). Big-trade bubbles show where aggressive participants are active. The session POC adds a developing fair-value reference. Absorption and exhaustion signals help interpret whether big volume is being met with resistance (absorption → possible continuation) or capitulation (exhaustion → possible reversal). Together they create a layered "smart money footprint" overlay rather than isolated plots.
How to Use the Indicator:
Apply to liquid instruments with reliable volume data (futures, major stocks, large-cap crypto).
In the "Big Trade Bobler" settings:
Adjust lookback period and minimum volume to reduce noise.
Tune multipliers (lower = more signals, higher = stronger but rarer events).
Turn "Use Premium Bubbles" off if you do not have TradingView Premium (script gracefully uses bar close instead of 1-second data).
Set session start hour/minute for POC calculation (e.g., NYSE open at 9:30).
Enable/disable absorption triangles and exhaustion highlights/labels based on preference.
Interpretation tips:
Watch for clusters of large bubbles near VWAP ±2σ/3σ or close to the POC line.
Absorption on trend bars may indicate continuation.
Exhaustion often appears at swing highs/lows and can precede reversals.
Important Limitations:
1-second footprint precision requires TradingView Premium; non-Premium accounts use standard bar close (still functional but less granular).
Volume data quality depends on the symbol and data feed (tick volume is used as proxy on forex/crypto).
This is a discretionary visualization tool — not a mechanical strategy, no entry/exit signals, and no performance backtest is included.
Volume spikes and patterns do not predict future price movement with certainty; always use in combination with your own analysis and proper risk management.
EMA20 and 10 PullbackStrategy Logic
Uses EMA 10, EMA 20, and VWAP for trend filtering
Identifies strong bullish and bearish trends
Waits for controlled pullbacks (1–3 candles) near EMA20
Triggers entries only on engulfing confirmation candles
Generates BUY signals in uptrends and SELL signals in downtrends
Key Features
Works best on NIFTY and liquid stocks
Avoids sideways markets by using EMA alignment + VWAP
Non-repainting, rule-based logic
Suitable for manual trading or alert-based automation
Alerts compatible with webhooks (n8n / Google Sheets)
Recommended Usage
Timeframe: 5-minute
Market: Trending sessions
Stop-loss: Below EMA20 or engulfing candle
Target: 1:1.5 – 1:2 R:R or EMA10 trailing
ICT BPR [KTY]ICT BPR (Balanced Price Range) Indicator
This indicator automatically detects and displays Balanced Price Range (BPR) zones based on ICT (Inner Circle Trader) methodology.
BPR forms when a bullish FVG and bearish FVG overlap, creating a zone where buying and selling pressure are balanced.
Automatic BPR Detection
- Identifies areas where opposing FVGs overlap
- Bullish BPR: Bullish FVG overlaps above bearish FVG
- Bearish BPR: Bearish FVG overlaps above bullish FVG
Visual Display
- Clear box zones showing BPR areas
- Customizable colors for bullish and bearish BPR
- Option to show mitigated (broken) BPR zones in gray
Dynamic Updates
- BPR zones extend automatically
- Zones are removed when price breaks through (unless mitigated display is enabled)
1. Identify BPR zones on your chart
2. Watch for price reaction when re-entering the BPR zone
3. Combine with OB, OTE, or Market Structure for confluence
4. Use BPR levels as reference points for stop-loss or targets
Pro Tips:
- BPR aligned with Order Block increases significance
- Larger overlapping FVGs create more important BPR zones
- Most effective in trending markets with clear FVG formations
Show BPR: Toggle BPR display on/off
Bullish BPR Count: Number of bullish BPR zones to display
Bearish BPR Count: Number of bearish BPR zones to display
Show Mitigated BPR: Display broken BPR zones in gray
Label Color: Customize text color inside BPR boxes
Bullish BPR Detected
Bearish BPR Detected
Bullish BPR Retest
Bearish BPR Retest
This indicator is designed for educational purposes.
BPR zones do not guarantee price reversal.
Always combine with proper risk management.
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
ICT MOC Macro (Time + Price) - Live Signals + 3:30/MOC/SLTPict moc strat basically it works by determining the bias of market on closer orders at 3:30-3:50.
ZLEMA FusionZLEMA Fusion - Advanced Zero-Lag Momentum & Trailing Stop System
A sophisticated overlay indicator combining the power of Zero Lag EMA (ZLEMA) with ATR-based Moving Stop (MOST) for precision trend following and dynamic support/resistance tracking.
Core Components:
1. ZLEMA (Zero Lag Exponential Moving Average)
Eliminates lag inherent in traditional EMAs
Provides faster response to price changes
Customizable length for different trading styles
Smooth, responsive trend line
2. MOST (Moving Stop - ATR Trailing Stop)
Dynamic ATR-based trailing stop system
Automatically adjusts to market volatility
Never moves backward - only trails in favourable direction
Green line = Uptrend support | Red line = Downtrend resistance
Customizable ATR multiplier and lookback period
Signal Generation:
BUY (⇑): When ZLEMA crosses above MOST
SELL (⇓): When ZLEMA crosses below MOST
Clean visual arrows with no label boxes
Signals trigger on candle close only (no repainting)
Advanced Features:
✅ Signal Cooldown System - Prevents signal spam with configurable minimum bars between signals
✅ ADX Trend Strength Filter - Optional filter to trade only in strong trends
✅ Higher Timeframe ZLEMA Confirmation - Multi-timeframe trend alignment for higher probability setups
✅ Background Color Coding - Quick visual trend identification (Green = Uptrend, Red = Downtrend)
✅ Alert System - Built-in alerts for buy and sell signals
Fully Customizable:
ZLEMA length
ATR period and multiplier
MOST lookback period
Signal cooldown bars
ADX filter threshold
Higher timeframe settings
Visual display options
Best Used For:
Index trading
Swing trading
Trend following strategies
Dynamic support/resistance identification
Entry/exit timing
Optimized for Indian Markets - Calibrated for Nifty, Bank Nifty, and other NSE instruments.
⚠️ Important Notes:
This indicator is for educational purposes
No repainting - all signals confirmed at candle close
Use proper risk management
Combine with your trading plan and additional confirmation
ADX DMI SqueezeOverview
This indicator combines:
ADX / DMI → Measures trend strength and direction
ADX Squeeze Histogram → Shows when the trend is accelerating or “squeezing” for a breakout
Triangles → Highlight potential expansion points
Optional DI+ / DI− lines → Show bullish/bearish dominance
ADX Threshold Lines (15 / 20) → Help filter weak trends
Early ADX Acceleration Dots → Provide an early heads-up before a squeeze fires
It can be used standalone or alongside other trend tools like VWAP for better entry timing.
Entry Guidelines
Long Trades (Buy):
Histogram above 0
Green triangle appears
ADX rising or above threshold (15/20 recommended)
Optional: DI+ > DI− confirms bullish strength
Short Trades (Sell):
Histogram above 0
Red triangle appears
ADX rising or above threshold (15/20 recommended)
Optional: DI− > DI+ confirms bearish strength
Avoid trades if:
Histogram negative
Triangles appear but ADX below threshold or trend not confirmed by DI linesOptional Filters
Require ADX acceleration: Only shows signals when ADX is increasing → avoids late or false entries
VWAP Bias: Session-anchored institutional positioning (best for open & intraday scalps).
MA Bias: Time-based trend direction (best for continuation & trend days).
Tips
Best on 30-min or higher timeframes for swing/short-term trend trades
Can be combined with VWAP Moving averages , support/resistance, or Bollinger Bands
Use DI lines toggle if you want extra visual trend confirmation
Adjust DMI length (sensitivity) and ADX smoothing for your preferred timeframe
Interpretation
Histogram turning green above 0 + triangle → strong bullish move forming
Histogram turning red above 0 + triangle → strong bearish move forming
ADX above 20 → strong trend, more reliable
ADX below 15 → weak trend, signals less reliable
In short:
Long = Green bars above 0 + Green triangle
Short = Red bars above 0 + Red triangle
Confirm with ADX above threshold and optionally DI lines
yesterday
Std Dev Channel [fmb]What it is
A professional regression channel that combines standard deviation divisions, an extreme price envelope, and a trend quality gauge. It is designed for fast read-and-act decisions on any timeframe, with sensible presets and log-space math for instruments that trend exponentially.
Why it’s different
Most channels draw fixed ±1σ and ±2σ around a regression line. This tool adds:
- Fibonacci-spaced σ divisions for precise scaling
- An objective MaxEnvelope of actual extremes with optional 1.272 and 1.618 extensions
- Pearson’s R labelling that classifies the trend as Strong Up, Moderate, Weak, or Strong Down
- A log-space option so channels behave correctly on long trends and high beta charts
How it works
Base line
- Linear regression of the last Length bars, drawn as a ray.
- Optional colour change by regime using Pearson’s R.
Divisions (StdDev or MaxEnvelope)
- StdDev basis: σ of residuals around the regression line.
- MaxEnvelope basis: distances from the base line to the farthest highs and lows in the lookback.
- Divisions can be Fibonacci multiples (0.382, 0.618, 1.000, 1.272 by default) or uniform steps.
Outer rails
- ENV 1.0 touches the farthest highs and lows within the window.
- Optional extensions at 1.272 and 1.618 highlight stretch and breakout zones.
Trend quality (Pearson’s R)
- R is computed on the same series and window.
- Default thresholds: Strong when |R| ≥ 0.70, Weak when |R| < 0.40.
- The label reads: R 0.XXX • Class, plotted near the most recent base value.
Log-space math
- When enabled, the model runs on ln(price) and converts the outputs back to price.
- Safer on multi-year charts and large percentage trends.
Presets
- Swing: Length 125, StdDev basis, Fib divisions, ENV 1.0 and 1.272 on
- Intraday: Length 240, StdDev basis, simple ±1 and ±2 style divisions, ENV off by default
- Position: Length 200, StdDev basis, compact Fib set for higher timeframes
You can turn preset overrides off to make every input respond instantly.
Inputs you will actually use
- Length, Source, Log-space ON or OFF
- Basis: StdDev or MaxEnvelope
- Divisions: Fib list or Step and Max multiple
- Outer rails: show ENV 1.0, show 1.272, show 1.618
- Labels and sizes, extend left or right
- Hide divisions or outer rails automatically when the regime is Weak
Alerts included
- Close crosses above or below ENV 1.0
- Close crosses above or below ENV 1.272 and 1.618 (if enabled)
Practical playbook
Trend following
- In Strong Uptrend: buy pullbacks near 0.382 to 0.618 above the base with stops just beyond the next lower division.
- In Strong Downtrend: sell bounces into 0.382 to 0.618 below the base with stops just beyond the next upper division.
Mean reversion
- When R is Moderate or Weak, fade moves that tag ENV 1.0 back toward the base.
- If price closes through an ENV extension, treat it as potential regime change and stand down on fades.
Breakouts
- A close through ENV 1.0 with R rising toward Strong often precedes trend acceleration.
- Use the next division or the 1.272 rail as the first target and trail on the base.
Tips
- Keep Length stable across symbols you compare. Consistency beats curve fitting.
- Use log-space on multi-year equities and crypto. Use linear for short intraday work.
- If you want a classic look, disable Fib and rails, set Step 1.0 and Max 2.0.
Notes
- The tool draws more lines when Fib divisions are active. If it feels busy, show divisions only and hide labels, or keep ENV 1.0 plus one extension.
- Pearson’s R is descriptive, not predictive. Combine with price structure and volume for entries.






















