Nexural Fisher ProNexural Fisher Transform Ultimate
This is my take on what the Fisher Transform should have been from the start. Not a repaint of the standard indicator with a fresh coat of paint, but a ground-up rebuild using techniques from John Ehlers and quantitative finance that actually make a difference.
What This Indicator Does
The Fisher Transform converts price into a Gaussian normal distribution, which sounds complicated but really just means it gives you clear overbought and oversold readings with sharp turning points. The problem with the standard Fisher Transform is that it was designed decades ago and has some serious limitations. This version addresses those limitations directly.
The Core Improvements
Adaptive Period via Dominant Cycle Measurement
Instead of guessing what lookback period works best, this indicator measures the dominant cycle in the market using autocorrelation and adjusts itself automatically. In choppy markets it becomes more responsive. In smooth trends it slows down to avoid false signals. You no longer have to optimize the length setting for every instrument and timeframe because the indicator
does it for you.
Tanh Normalization
The standard Fisher Transform has a nasty habit of spiking to extreme values during volatile moves. You have probably seen Fisher readings of plus or minus 8 or even higher which makes the indicator almost unreadable. This version uses hyperbolic tangent normalization to mathematically bound the output. The indicator stays within a consistent range regardless of market conditions so your overbought and oversold levels actually mean something.
Efficiency Ratio Regime Detection
This is the feature that changes how you use the indicator. The Efficiency Ratio measures whether the market is trending or ranging on a scale from zero to one. A high reading means price is moving efficiently in one direction which indicates a trend. A low reading means price is chopping around which indicates a range.
Why does this matter? Because oscillators work completely differently in trends versus ranges. In a ranging market you want to fade overbought and oversold readings. In a trending market those same signals will destroy you as the market stays overbought or oversold for extended periods while continuing in the trend direction.
The info panel shows you the current regime so you know how to interpret the signals. When it says Trending you trust the direction and ignore the zones. When it says Ranging you trust the zones and fade the extremes.
Volume Weighted Calculation
High volume bars have more influence on the Fisher calculation than low volume bars. This means the indicator responds more to moves that have real participation behind them and filters out low volume noise. The weighting is clamped to prevent any single bar from dominating the calculation.
Ehlers Super Smoother
Rather than using a simple moving average or exponential moving average for smoothing, this indicator uses the Ehlers Super Smoother which is a two pole filter specifically designed to remove noise without adding lag. The math behind it is based on signal processing theory and it genuinely works better than traditional smoothing methods.
How To Use It
The indicator shows two lines. The main Fisher line changes color based on direction. Green means bullish momentum and red means bearish momentum. The white trigger line is the previous bar value and crossovers between the two lines indicate momentum shifts.
The info panel in the corner gives you everything at a glance. State tells you the current direction. Zone tells you if the indicator is overbought, oversold, or neutral. Regime tells you if the market is trending, ranging, or mixed. ER shows you the raw Efficiency Ratio value. Period shows you the current adaptive lookback being used. Fisher shows you the exact indicator
value.
For ranging markets look for bullish crosses when the indicator is in oversold territory and bearish crosses when the indicator is in overbought territory. These are mean reversion setups.
For trending markets use the indicator to confirm trend direction and look for pullback entries when the indicator dips toward the zero line without reaching oversold or overbought extremes.
Strengths
The adaptive period is the biggest advantage. Most traders either use a default setting that works sometimes or spend hours optimizing settings that stop working when market conditions change. This indicator handles that problem automatically.
The regime detection is genuinely useful. Knowing whether to fade extremes or ride momentum is half the battle with any oscillator and this indicator tells you directly.
The bounded output means your levels are consistent. When the indicator hits 1.5 it means the same thing today as it did last month. You are not constantly adjusting your interpretation based on recent volatility.
The volume weighting adds a layer of confirmation that most oscillators lack entirely. Moves on high volume carry more weight which aligns with how markets actually work.
Weaknesses
No indicator predicts the future. This indicator tells you about momentum and regime but it does not tell you where to place your stop or what your target should be. It is a tool not a strategy.
The adaptive period can occasionally shift during volatile transitions which may cause the indicator to behave slightly differently than expected. The smoothing minimizes this but it can still happen.
Like all oscillators this indicator is better at identifying conditions than timing exact entries. A cross into oversold does not mean price stops falling immediately. It means conditions favor a bounce but the timing of that bounce requires additional analysis.
The regime detection has a slight lag because it needs data to determine whether the market is trending or ranging. At the exact moment of a regime change the indicator may still show the previous state for a few bars.
What This Is Not
This is not a signal service. There are no buy and sell arrows because markets are more nuanced than that. A bullish cross in a range means something completely different than a bullish cross in a trend and treating them the same is how traders lose money.
This is not a holy grail. It will not turn a losing trader into a winning trader on its own. It is a well built tool that gives you better information than the standard Fisher Transform.
This is not overfitted to historical data. The techniques used here are based on principles that have been validated across decades of market data. There is no curve fitting or optimization to make backtests look good.
Final Thoughts
I built this because I got tired of indicators that looked good in marketing but fell apart in live trading. The standard Fisher Transform has real value but the standard implementation has real problems. This version solves those problems using math that actually makes sense.
If you understand what the indicator is telling you and combine it with solid risk management and market structure analysis, it will serve you well. If you are looking for something to tell you exactly when to buy and sell, keep looking because that does not exist.
This is an excellent indicator on the 5-15 time frame. Use it wisely.
经济周期
Asia Range - London & NY Open - First 2 HoursThis indicator will identify the areas where different session of trading happens around the world giving you the edge to identify traps in Asia range and utilize the volitility of London and New York open
50, 100 & 200 Week MA (SMA/EMA Switch)Clean, multi-timeframe weekly moving average indicator displaying the classic 50, 100, and 200-week MAs directly on any chart timeframe.
Features:
True weekly calculations using request.security (accurate, no daily approximation)
Switch between SMA and EMA with one click
Individually toggle each MA (50w orange, 100w purple, 200w blue)
Perfect for long-term trend analysis, golden/death crosses, and institutional-level support/resistance
Ideal for swing traders, investors, and anyone tracking major market cycles. Lightweight and repaints-free.
Cycle Forecast + MACD Divergence (Kombi v6 FULL)This indicator merges two powerful analytical models:
🔮 1. Dominant Cycle Forecasting
The script automatically identifies major structural market cycles by detecting significant swing highs and lows.
It then fits a sinusoidal wave (amplitude, phase, and period) to the dominant cycle and projects it into the future.
Features:
Automatically extracts large, dominant cycles (no noise, no small swings)
Smooth sinusoidal historical cycle visualization
Future cycle projection for 1–2 upcoming cycle periods
Dynamic amplitude and phase alignment based on market structure
Helps anticipate cycle tops and bottoms for long-term timing
📉 2. MACD Divergence Detection
Full divergence detection engine using MACD or MACD Histogram.
Detects:
Bullish Divergence
Price ↓ while MACD (or Histogram) ↑
→ Possible trend reversal upward
Bearish Divergence
Price ↑ while MACD (or Histogram) ↓
→ Possible trend reversal downward
Features:
Pivot-based divergence confirmation (no repaint)
Choice of MACD Line or Histogram as divergence source
Labels + connecting divergence lines
Works across all markets and timeframes
⚙️ Smart Auto-Pivot System
The indicator optionally adjusts pivot sensitivity based on timeframe:
Weekly → tighter pivots
Daily → medium pivots
Intraday → wider pivots
Ensures stable, meaningful divergence signals even on higher timeframes.
🎯 Use cases
Identify upcoming cycle highs/lows
Spot major trend reversals early
Improve swing entries with MACD divergences near cycle turns
Combine forecasting with momentum exhaustion
Suitable for crypto, stocks, indices, forex & commodities
🧠 Why this indicator is powerful
This tool blends time-based cycle forecasting with momentum-based divergence signals, giving you a unique perspective of where the market is likely to turn.
Cycles reveal when a move may occur.
Divergences reveal why a move may occur.
Combined, they offer highly effective market timing.
Quarterly Theory IndicatorQuarterly Theory Indicator (from Daye's Theory)
Functionalities:
1) Monthly Quarterly Cycles (division with vertical lines) & the latest Monthly True Open- only visible in the weekly TF (horizontal line).
2) Weekly Quarterly Cycles (division with vertical lines) & the latest Weekly True Open (horizontal line).
3) Daily Quarterly Cycles (division with vertical lines) & the latest Daily True Open (horizontal line).
4) 90Min "Sessional" Quarterly Cycles (division with vertical lines) & the four 90Min cycle True Open lines of the latest day (horizontal lines).
Market Regime Storyline v6Title: Market Regime Storyline
Description:
The Market Regime Storyline indicator identifies and displays the current market condition or "regime" through a comprehensive framework that combines trend direction and volatility analysis.
The indicator classifies market conditions into four distinct regimes:
Uptrend: Price is above the trend moving average with short-term momentum confirming upward movement
Downtrend: Price is below the trend moving average with short-term momentum confirming downward movement
Squeeze: Low normalized volatility indicating a period of consolidation and potential impending breakout
Chop: Sideways, range-bound price action with no clear directional bias and normal volatility
Key features include:
• Clear identification of the dominant market regime with visual background coloring
• Continuous display of the current regime and normalized volatility level in the upper-left corner
• Labels marking transitions between different market regimes
• Subtle background coloring that provides visual context without visual clutter
The indicator combines trend determination (using an exponential moving average and momentum confirmation) with volatility normalization to provide a complete picture of the prevailing market environment. This regime identification helps traders adapt their strategies to the current market conditions, whether trending, consolidating, or ranging.
This approach recognizes that different trading strategies perform optimally in different market environments, allowing users to adjust their approach based on whether the market is exhibiting trending behavior, preparing for a volatility expansion, or trading in a range-bound manner.
Category: Trend Analysis
Tags: Market Regime, Trend Identification, Volatility Squeeze, Market Conditions, Consolidation, Trending, Range-Bound, Regime Change, Volatility Normalization, Market Environment
Recommended Publishing Information:
The Market Regime Storyline indicator is designed to provide traders with a clear, unambiguous identification of the prevailing market condition. By categorizing market behavior into distinct regimes, the indicator enables users to:
Determine whether the market is exhibiting directional trending behavior that favors trend-following strategies
Identify periods of low volatility consolidation (squeezes) that often precede significant directional moves
Recognize range-bound, non-directional market conditions where mean reversion or breakout strategies may be more appropriate
The indicator uses a combination of trend filtering through a primary moving average and momentum confirmation, along with normalized volatility measurement, to provide a robust regime classification system. The normalized volatility component helps distinguish between true consolidation periods (squeezes) and typical sideways movement (chop), providing additional context for anticipating potential changes in market behavior.
This regime-based approach acknowledges the reality that all trading strategies do not perform equally well in all market environments, and provides a framework for adapting trading approaches to the prevailing market conditions.
The combination of these classification elements and the clear visual presentation makes this indicator particularly useful for traders who need to adjust their strategy depending on whether the market is in a trending, consolidating, or range-bound state.
Z-EMA Fusion BandsDesigned with crypto markets in mind, particularly Bitcoin , it builds on the concept that the 1-Week 50 EMA often serves as a long-term bull/bear market threshold — an area where institutional bias, momentum shifts, and cyclical rotations tend to occur.
🔹 Core Components & Synergies:
1. 1W 50 EMA (Higher Timeframe)
- This EMA is calculated on a weekly timeframe, regardless of your current chart.
- In crypto, price above the 1W 50 EMA typically aligns with long-term bull market phases, while extended periods below can signify bearish macro structure.
- The slope of the EMA is also analyzed to add directional confidence to trend strength.
2. ±1 Standard Deviation Bands
- Surrounding the 50 EMA, these bands visualize normal price dispersion relative to trend.
- When price consistently hugs or breaks outside these bands, it often reflects market expansion, volatility events, or mean-reversion opportunity.
3. Z-Score Gradient Fill
- The area between the bands is filled using a Z-score-based gradient, which dynamically adjusts color based on how far price is from the EMA (in terms of standard deviations).
- Color shifts from aqua (near EMA) to fuchsia (far from EMA) help you spot price compression, equilibrium, or overextension at a glance.
- The fill also uses transparency scaling, making it fade as price stretches further, emphasizing the core structure.
4. Directional EMA Coloring
- The EMA line itself is colored based on:
- The slope of the EMA (rising/falling)
- Whether the HTF candle is bullish or bearish
- This provides intuitive color-coded confirmation of momentum alignment or potential exhaustion.
5. Price/EMA Divergence Detection
- The script detects bullish and bearish divergence between price and the EMA (rather than using a traditional oscillator).
- Bullish Divergence: Price makes a lower low, EMA makes a higher low.
- Bearish Divergence: Price makes a higher high, EMA makes a lower high.
- These signals often mark transitional zones where momentum fades before a trend reversal or correction.
📊 Suggested Uses:
🔸 Swing and Position Trading:
- Use the 1W 50 EMA as a macro-trend anchor.
- Stay long-biased when price is above with positive slope, and short-biased when below.
- Consider entries near band edges for mean-reversion plays, especially if confluence forms with divergence signals.
🔸 Volatility-Based Filtering:
- Use the Z-score fill to identify volatility compression (near EMA) or expansion (edge of bands).
- Combine this with breakout strategies or dynamic position sizing.
🔸 Divergence Confirmation:
- Combine divergence markers with HTF EMA slope for high-probability setups.
- Bullish div + EMA flattening/rising can signal the start of accumulation after a macro dip.
🔸 Multi-Timeframe Analysis:
- Works well as a structural overlay on intraday charts (1H, 4H, 1D).
- Use this indicator to track long-term bias while executing lower timeframe trades.
⚠️ Disclaimer:
This indicator is designed for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset.
Always use proper risk management, and combine with your own analysis, tools, and strategy. Performance in past market conditions does not guarantee future results.
Kaufman Adaptive Moving Average + ART**Kaufman Adaptive Moving Average (fixed TF) + ATR Volatility Bands**
This script is a Pine Script v5 extension of the original *Kaufman Adaptive Moving Average* by Alex Orekhov (everget).
It adds:
* a **fixed timeframe option** for KAMA
* a separate **ATR panel under the chart**
* **configurable ATR volatility levels** with dynamic coloring.
KAMA adapts its smoothing to market conditions: it speeds up in strong trends and slows down in choppy phases. Here, KAMA can be calculated on any timeframe (e.g. 1D) and overlaid on a lower-timeframe chart (e.g. 1H), so you can track higher-TF trend structure while trading intraday.
The ATR panel visualizes volatility in the same or a separate timeframe and highlights phases of high/low volatility based on user-defined thresholds.
---
### Features
**KAMA (on chart)**
* Standard KAMA parameters: `Length`, `Fast EMA Length`, `Slow EMA Length`, `Source`
* Input: **KAMA Timeframe**
* empty → uses chart timeframe
* any value (e.g. `60`, `240`, `D`, `W`) → calculates KAMA on that fixed TF and maps it to the chart
* Color-changing KAMA line:
* **green** when the selected-TF KAMA is rising
* **red** when it is falling
* Optional *Await Bar Confirmation* to avoid reacting to still-forming bars
* Built-in alert when the KAMA color changes (potential trend shift).
**ATR panel (separate window under the chart)**
* Own inputs: `Show ATR`, `ATR Length`
* **ATR Timeframe** input:
* empty → ATR uses the same TF as KAMA
* custom value → fully independent ATR timeframe
* Two user-defined volatility levels:
* `ATR High Vol Level` – threshold for **high volatility**
* `ATR Low Vol Level` – threshold for **low volatility**
* ATR line coloring:
* **red** when ATR > High Vol Level (high volatility regime)
* **green** when ATR < Low Vol Level (quiet market)
* **blue** in the normal range between the two levels.
---
### How to use
1. Add the script to your chart.
2. Choose a **KAMA Timeframe** (leave empty for chart TF, or set to a higher TF for multi-timeframe trend following).
3. Optionally set a different **ATR Timeframe** to monitor volatility on yet another TF.
4. Adjust `ATR High Vol Level` and `ATR Low Vol Level` to match the instrument and timeframe you trade.
5. Use:
* the **KAMA color changes** as trend / regime signals, and
* the **ATR colors & levels** to quickly see whether you’re trading in a low-, normal- or high-volatility environment.
This combination is designed to keep the chart itself clean (only KAMA on price) while giving you a dedicated volatility dashboard directly underneath.
Session Markers - JDK AnalysisSession Markers is a tool designed to study how markets behave during specific, recurring time windows. Many traders know that price behaves differently depending on the day of the week, the time of the day, or particular market sessions such as the weekly open, the London session, or the New York open. This indicator makes those recurring windows visible on the chart and then analyzes what price typically does inside them. The result is a clear statistical understanding of how a chosen session behaves, both in direction and in strength.
The script works by allowing the trader to define any time window using a start day and time and an end day and time. Every time this window occurs on the chart, the indicator highlights it with a full-height vertical band. These visual markers reveal patterns that are otherwise difficult to detect manually, such as whether certain sessions tend to trend, reverse, consolidate, or create large imbalances. They also help the trader quickly scan through historical price action to see how the market has behaved under similar conditions.
For every completed session window, the indicator measures how much price changed from the moment the window began to the moment it ended. Instead of using raw price differences, it converts these changes into percentage moves. This makes the measurement consistent across different price ranges and market regimes. A one-percent move always has the same meaning, whether the asset is trading at 100 or 50,000. These percentage moves are collected for a user-selected number of past sessions, creating a dataset of how the market has behaved in the chosen time window.
Based on this dataset, the indicator generates several statistics. It counts how many past sessions closed higher and how many closed lower, producing a directional tendency. It also computes the probability of an upward session by dividing the number of positive sessions by the total. More importantly, it calculates the average percentage movement for all sessions in the lookback period. This average move reflects not just the direction but also the magnitude of price changes. A session with frequent small upward moves but occasional large downward moves will show a negative average movement, even if more sessions ended positive. This creates a more realistic representation of true market behavior.
Using this average movement, the script determines a “Bias” for the session. If the average percentage move is positive, the bias is considered bullish. If it is negative, the bias is bearish. If the values are very close to zero, the bias is neutral. This way, the indicator takes both frequency and impact into account, producing a magnitude-aware assessment instead of one that only counts wins and losses. A sequence such as +5%, –1% results in a bullish bias because the overall impact is strongly positive. On the other hand, a series of small gains followed by a large drop produces a bearish bias even if more sessions ended positive, because the large move dominates the average. This provides a far more truthful picture of what the market tends to do during the chosen window.
All relevant statistics are displayed neatly in a small panel in the top-right corner of the chart. The panel updates in real time as new sessions complete and older ones fall out of the lookback range. It shows how many sessions were analyzed, how many ended up or down, the probability of an upward move, the average percentage change, and the final bias. The background color of the panel instantly reflects that bias, making it easy to interpret at a glance.
To use the tool effectively, the trader simply needs to define a time window of interest. This could be something like the weekly opening window from Sunday to Monday, the London open each day, or even a unique custom window. After selecting how many past sessions to analyze, the indicator takes care of the rest. The vertical session markers reveal the structure visually. The statistics summarize the historical behavior objectively. The magnitude-weighted bias provides a realistic indication of whether the window tends to produce upward or downward movement on average.
Session Markers is helpful because it translates repeated market timing behavior into measurable data. It exposes hidden tendencies that are easy to feel intuitively but hard to quantify manually. By analyzing both direction and magnitude, it prevents misleading interpretations that can arise from looking only at win rates. It helps traders understand whether a session typically produces meaningful moves or just small noise, whether it tends to trend or reverse, and whether its behavior has recently changed. Whether used for bias building, session filtering, or deeper market research, it offers a structured framework for understanding the market through time-based patterns.
67Major Market Trading Hours
New York Stock Exchange (NYSE)
Open: 9:30 AM (ET)
Close: 4:00 PM (ET)
Pre-Market: 4:00 AM – 9:30 AM (ET)
After Hours: 4:00 PM – 8:00 PM (ET)
Nasdaq
Open: 9:30 AM (ET)
Close: 4:00 PM (ET)
Pre-Market: 4:00 AM – 9:30 AM (ET)
After Hours: 4:00 PM – 8:00 PM (ET)
London Stock Exchange (LSE)
Open: 8:00 AM (GMT)
Close: 4:30 PM (GMT)
Tokyo Stock Exchange (TSE)
Open: 9:00 AM (JST)
Lunch Break: 11:30 AM – 12:30 PM (JST)
Close: 3:00 PM (JST)
Hong Kong Stock Exchange (HKEX)
Open: 9:30 AM (HKT)
Lunch Break: 12:00 PM – 1:00 PM (HKT)
Close: 4:00 PM (HKT)
If you'd like anything bigger, bold, color‑coded, or reorganized, just tell me and I’ll adjust it!
Zonas de Liquidez Pro + Puntos de GiroRequirements for marking 💧:✅ High crosses the zone✅ Close returns inside (false breakout / fakeout)✅ Volume is 20% greater than the average✅ Occurs within the last 10 bars(Note: This last requirement is stated in the text but not explicitly in the code snippet provided)📚 Psychology Behind the SweepWho lost money?Traders with stops placed too tightlyBuyers who entered "on the breakout"Bots with automatic orders placed aboveWho made money?Smart Money / InstitutionsThey sold at a high priceThey hunted for liquidity before moving the priceThey know where retail stops are located🎯 How to Use the Drops in Your TradingGolden Rule:💧 near a strong zone + Multiple rejections = PROBABLE REVERSALStrategy:See 💧 at resistance → Look for SHORTSee 💧 at support → Look for LONGPrice returns to the swept zone → High-probability setupStop beyond the sweep high/low → ProtectionPractical Example:If you see 💧 LIQ at $111,263 (resistance)→ Wait for bearish rejection→ Entry: Sell at $110,800→ Stop: $111,500 (above the sweep high)→ Target: Next support level⚠️ Common Mistakes❌ Mistake 1: Trading the breakoutPrice breaks $111k → "It's going to the moon!" → Buy💧 LIQ appears → It was a trap → Drop → Loss✅ Correct Approach:Price breaks $111k → Check if there is 💧 LIQ💧 appears → "It's a trap" → Wait for rejection → Sell❌ Mistake 2: Ignoring the volumeNot all sweeps are equal.Sweeps with high volume are more reliable.No volume = it could be noise.🎓 Ultra-Fast SummaryElementMeaning💧 LIQLiquidity sweep detectedAt ResistanceBullish trap → Prepare for a shortAt SupportBearish trap → Prepare for a longWith High VolumeMore reliable signalNear Strong Zone High probability of reversal🔥 The Magic of Your IndicatorScenarioWithout this IndicatorWith this IndicatorAction"The price broke $111k, I'm buying!""There is 💧 LIQ + zone + rejections → It's a trap."ResultYou loseYou avoid a loss or gain on the short
Kaufman Adaptive Moving Average (fixed TF)**Kaufman Adaptive Moving Average – fixed Timeframe version (Pine v5)**
This script is a Pine Script v5 adaptation of the original *Kaufman Adaptive Moving Average* by Alex Orekhov (everget), extended with the ability to calculate KAMA on a **fixed timeframe**. You can keep the calculation on your current chart timeframe or lock it to any higher timeframe (for example 1D on a 1H chart) and still display the line on your active chart.
KAMA automatically adjusts its smoothing based on price efficiency: it becomes faster in trending markets and slower in choppy ones. This version colors the line green/red depending on the direction of the KAMA on the **selected timeframe**, and includes an optional “await bar confirmation” setting to avoid reacting to still-forming bars.
**Main features**
* Original Kaufman Adaptive Moving Average logic (length, fast/slow EMA lengths, source input)
* Optional **fixed timeframe** input for the KAMA calculation (leave empty to use chart timeframe)
* Non-repainting higher-timeframe calculation using `request.security()`
* Dynamic color change (green/red) based on KAMA trend on the chosen timeframe
* Optional bar-confirmation filter for more conservative color changes
* Built-in alert on color change (trend shift)
**How to use**
1. Add the indicator to your chart.
2. Leave “KAMA Timeframe” empty to use the chart’s timeframe (standard KAMA).
3. Or set “KAMA Timeframe” to a higher TF (e.g. `60`, `240`, `D`, `W`) to overlay a higher-timeframe KAMA on a lower-timeframe chart.
4. Use the color changes or the alert to identify potential trend shifts in the selected timeframe while watching price action on your working timeframe.
SPX Realized Volatility & Expected MoveRealized Volatility & Expected Move Dashboard
This indicator provides a sophisticated, multi-horizon view of an asset's historical volatility and projects the corresponding expected move (EM) in price points. Unlike indicators that rely on implied volatility (VIX), this tool uses the asset's own historical price action (Realized Volatility) to forecast future range potential.
Key Features & Calculations
Multi-Horizon Realized Volatility (RV): Calculates the annualized Realized Volatility based on log returns for three critical lookback periods:
30 Days (Long-Term): Measures structural volatility (default lookback).
9 Days (Short-Term): Captures recent market temperament.
1 Day (Immediate): Highly reactive to the previous day's movement.
Daily Timeframe Independence (Critical): The RV calculation is performed exclusively on Daily price data (via request.security), ensuring that the 30-day lookback is always 30 calendar days, regardless of whether you view the indicator on a 1-minute or 4-hour chart.
Expected Move Projection: Projects the calculated RV onto the price using the standard financial formula:
$$\text{EM}_{\text{H}} = \text{Price} \times \frac{\text{RV}_{\text{Annual}}}{100} \times \sqrt{\frac{\text{Horizon Days}}{252}}$$
Visual Bands: Plots the Upper and Lower Expected Move bands centered around the current price for all three horizons, providing clear targets for range expansion or contraction.
Comprehensive Table Output: A dashboard summarizes the key metrics, displaying:
Realized Vol (Annualized %): The raw volatility percentage.
Full Horizon Expected Move: The calculated price point move over the full 30-day, 9-day, or 1-day horizon.
Daily Equivalent Expected Move: The daily expected move derived from that RV, making it the most useful target for intraday trading (e.g., the $\pm 1\sigma$ move for today).
Interpretation & Usage
Identify Regime Changes: Compare the short-term RV (9D) against the long-term RV (30D). If 9D > 30D, volatility is accelerating; if 9D < 30D, volatility is contracting.
Set Intraday Targets: Use the 1 Day EM or the Daily Equivalent EM derived from the 9D/30D bands as dynamic support and resistance levels for the trading session.
Analyze Over-Extension: If the price trades outside the 30 Day EM bands, the move is historically extreme and may signal a sharp reversal or momentum exhaustion.
Multi-Timeframe Opening RangeMulti Time frame range created to find trends and look for blocks of time in which the market is most likely to pivot.
Also assists in finding trends more easily highs and lows.
Take bounces and rejections off the boxes it works well.
MA Crossover20 Ema
200 Day Crossover
Marks Death and Golden Cross
Useful for longterm time frames and finding trends.
Can be used for intraday scalping but advised to be used with price action and other indicators like Williams %R or VWAP.
RT-Liquidation Engine-DeltaIntroduction
The RT-Liquidation Engine-Levels is a liquidity mapping tool designed to highlight where leveraged long and short positions may be vulnerable to liquidation. It plots projected Liquidation Levels above and below price, grouped by leverage tiers, so traders can see where the algorithm estimates clustered liquidation zones might sit relative to current price. The RT-Liquidation Engine-Levels indicator is intended to be used in conjunction with the RT-Liquidation Engine-Delta indicator. This writeup will cover both indicators in depth and explain how they work together.
Liquidity Theory – What This Tool Is Looking At
Liquidity levels are a data point that advanced traders study to understand the price levels where positions may be forced out of the market. While exchanges can show open orders in an order book, they do not publish where traders will be liquidated. However, market participants who can estimate those zones often pay close attention to them, because a single wick can be enough to trigger liquidations and force positions to close into the market.
The RT-Liquidation Engine is built around this concept. It uses on-chart information and volume to approximate where these potential liquidation areas may be and displays them directly on the price chart so traders can see the projected levels they may want to monitor.
How It Works
Because real Liquidation Levels are not published by exchanges, the indicator cannot read them directly. Instead, it uses an internal algorithm that studies current prices, direction, and volume to estimate where common leveraged positions might be at risk.
Conceptually, the algorithm: Uses the visible data on the chart to approximate where typical leveraged long and short positions may be clustered.
Projects those estimates as horizontal levels above and below current price.
Keeps those projected levels on the chart until price action trades into them and the level is considered “touched.” The result is a set of dynamic levels that act as an estimated map of where liquidation events might be more likely, based on the chart’s own history and current structure. Trader Math And Leverage Levels
Traders using perpetual futures often use different leverage levels for their positions. The higher the leverage, the more vulnerable those positions are to being liquidated by relatively small moves in price.
While the exact leverage of individual traders is unknown, the Liquidation Engine focuses on four commonly referenced leverage tiers: 5x Leverage
10x Leverage
25x Leverage
50x Leverage Each tier can be displayed as its own set of projected Liquidation Levels on the chart so traders can see a structured view of where different leverage groups may be sensitive.
The Liquidation Levels can be displayed with Multi Color options or in Red/Green depending on the trader's preference.
The above chart shows the Liquidation Levels being displayed with Multi Colors. The above chart shows the Liquidation Levels being displayed in Red/Green.
Reading The Levels
Above and below the candles you will see projected Liquidation Levels. These levels appear at the prices where the algorithm estimates that leveraged positions for each tier could be vulnerable, and they remain drawn until price has traded through them.
In the default view: Thickness of the level – Indicates the estimated size of the position. Thicker lines represent larger projected positions.
Color of the level – Indicates which leverage group the level belongs to (5x, 10x, 25x, or 50x).
Length of the level – Indicates how long the estimated leveraged position has been open according to the algorithm.
This combination provides a visual profile of which zones have more concentrated projected liquidation interest and which have been standing in the market for longer.
Tuning Options
The Liquidation Engine includes a focused set of tuning options so traders can adjust how much information is plotted and how it appears on their charts. Custom Tuning Options Include: Sensitivity Filter – Adjusts the overall threshold the algorithm uses when estimating positions. Increasing this value reduces the number of plotted levels and focuses on larger estimated positions. Decreasing it allows smaller estimated positions to be considered, increasing the number of displayed levels.
Leverage Level Toggles – Individual toggles for each leverage group (5x, 10x, 25x, 50x).
These allow traders to show or hide specific tiers depending on which groups they want to monitor.
Color Settings – Controls the colors and transparency of the levels.
Traders can adjust these settings to match their chart theme and highlight or soften specific leverage groups.
Summary Table Options – Controls the on-chart table that tracks the estimated number of Long versus Short positions. Table On/Off – Toggles the table on or off.
Table Position – Moves the table to different corners of the chart.
Table Background Color / Table Text Color – Customizes the table’s appearance.
Liquidation Engine – Delta
In addition to plotting projected Liquidation Levels, the RT-Liquidation Engine-Levels Indicator is to be used in conjunction with the RT-Liquidation Engine-Delta Indicator. This tool displays the Liquidation Delta data that the algorithm estimates on the imbalance between long and short exposure. Conceptually, the RT-Liquidation Engine-Delta Indicator computes the following items:
Aggregates the estimated long and short positions from the projected Liquidation Levels.
Calculates a net difference (delta) between those two estimates.
Displays that difference so traders can see when the projected open interest appears skewed to one side. When the estimated order book is heavily skewed in one direction, the market may sometimes move in the opposite direction as conditions rebalance. The delta view is designed to provide context for those potential rebalancing moves, not to predict exact turning points.
Tuning options for the RT-Liquidation Engine-Delta Indicator are aligned with the RT-Liquidation Engine-Levels Indicator settings. If you change filters, toggles, or colors in the Levels tool, it is recommended to mirror those settings in the Delta tool so both views remain synchronized.
Best Practices
Some common usage patterns include:
Timeframes – Many traders prefer to use Liquidation Engine on intraday timeframes under 60 minutes. Timeframes such as 30-minute candles or smaller are often used when monitoring leveraged flows.
Load Times – The algorithm performs a significant amount of calculations to project these Liquidation Levels and Deltas. On some symbols and timeframes, this can take noticeable time to load the chart. When changing settings, keep an eye on the loading indicator in the chart header to confirm calculations are still running. In normal conditions, these calculations are completed in less than 30 seconds.
Market Sessions And Levels Out Of Range – If projected levels appear far from current price or do not align with visible action, check the chart’s session settings in the bottom-left of the chart (for example, ETH vs RTH sessions). Ensuring the correct session is active can help keep the displayed levels in a more relevant range.
These guidelines are intended to make the tool easier to work with and to keep expectations realistic when interpreting the projections.
What Makes This Tool Different
While many indicators focus on price alone, the Liquidation Engine Levels and Delta tools are designed specifically around estimated liquidation behavior: It concentrates on where leveraged positions may be at risk, rather than only where price has been in the past.
It segments projected levels by leverage tier so traders can distinguish between different risk profiles on the chart.
It includes both a level-mapping view and a delta view, providing context for both where levels sit and how imbalanced the estimated positioning might be.
Important Note
The RT-Liquidation Engine-Levels and RT-Liquidation Engine-Delta tools provide an approximation of where leveraged positions might be vulnerable based solely on chart data. They do not access actual exchange liquidation feeds, does not reveal real trader positions, and cannot guarantee that a projected level will cause price to react.
This indicator is intended to provide additional context around potential liquidation zones and positioning imbalances. It is not a standalone signal generator and should always be used together with your own analysis, testing, and risk management. Historical interactions with projected Liquidation Levels, including any illustrative examples, do not guarantee future results.
🐋 Tight lines and happy trading!
RT-Liquidation Engine-LevelsIntroduction
The RT-Liquidation Engine-Levels is a liquidity mapping tool designed to highlight where leveraged long and short positions may be vulnerable to liquidation. It plots projected Liquidation Levels above and below price, grouped by leverage tiers, so traders can see where the algorithm estimates clustered liquidation zones might sit relative to current price. The RT-Liquidation Engine-Levels indicator is intended to be used in conjunction with the RT-Liquidation Engine-Delta indicator. This writeup will cover both indicators in depth and explain how they work together.
Liquidity Theory – What This Tool Is Looking At
Liquidity levels are a data point that advanced traders study to understand the price levels where positions may be forced out of the market. While exchanges can show open orders in an order book, they do not publish where traders will be liquidated. However, market participants who can estimate those zones often pay close attention to them, because a single wick can be enough to trigger liquidations and force positions to close into the market.
The RT-Liquidation Engine is built around this concept. It uses on-chart information and volume to approximate where these potential liquidation areas may be and displays them directly on the price chart so traders can see the projected levels they may want to monitor.
How It Works
Because real Liquidation Levels are not published by exchanges, the indicator cannot read them directly. Instead, it uses an internal algorithm that studies current prices, direction, and volume to estimate where common leveraged positions might be at risk.
Conceptually, the algorithm: Uses the visible data on the chart to approximate where typical leveraged long and short positions may be clustered.
Projects those estimates as horizontal levels above and below current price.
Keeps those projected levels on the chart until price action trades into them and the level is considered “touched.” The result is a set of dynamic levels that act as an estimated map of where liquidation events might be more likely, based on the chart’s own history and current structure. Trader Math And Leverage Levels
Traders using perpetual futures often use different leverage levels for their positions. The higher the leverage, the more vulnerable those positions are to being liquidated by relatively small moves in price.
While the exact leverage of individual traders is unknown, the Liquidation Engine focuses on four commonly referenced leverage tiers: 5x Leverage
10x Leverage
25x Leverage
50x Leverage Each tier can be displayed as its own set of projected Liquidation Levels on the chart so traders can see a structured view of where different leverage groups may be sensitive.
The Liquidation Levels can be displayed with Multi Color options or in Red/Green depending on the trader's preference.
The above chart shows the Liquidation Levels being displayed with Multi Colors. The above chart shows the Liquidation Levels being displayed in Red/Green.
Reading The Levels
Above and below the candles you will see projected Liquidation Levels. These levels appear at the prices where the algorithm estimates that leveraged positions for each tier could be vulnerable, and they remain drawn until price has traded through them.
In the default view: Thickness of the level – Indicates the estimated size of the position. Thicker lines represent larger projected positions.
Color of the level – Indicates which leverage group the level belongs to (5x, 10x, 25x, or 50x).
Length of the level – Indicates how long the estimated leveraged position has been open according to the algorithm.
This combination provides a visual profile of which zones have more concentrated projected liquidation interest and which have been standing in the market for longer.
Tuning Options
The Liquidation Engine includes a focused set of tuning options so traders can adjust how much information is plotted and how it appears on their charts. Custom Tuning Options Include: Sensitivity Filter – Adjusts the overall threshold the algorithm uses when estimating positions. Increasing this value reduces the number of plotted levels and focuses on larger estimated positions. Decreasing it allows smaller estimated positions to be considered, increasing the number of displayed levels.
Leverage Level Toggles – Individual toggles for each leverage group (5x, 10x, 25x, 50x).
These allow traders to show or hide specific tiers depending on which groups they want to monitor.
Color Settings – Controls the colors and transparency of the levels.
Traders can adjust these settings to match their chart theme and highlight or soften specific leverage groups.
Summary Table Options – Controls the on-chart table that tracks the estimated number of Long versus Short positions. Table On/Off – Toggles the table on or off.
Table Position – Moves the table to different corners of the chart.
Table Background Color / Table Text Color – Customizes the table’s appearance.
Liquidation Engine – Delta
In addition to plotting projected Liquidation Levels, the RT-Liquidation Engine-Levels Indicator is to be used in conjunction with the RT-Liquidation Engine-Delta Indicator. This tool displays the Liquidation Delta data that the algorithm estimates on the imbalance between long and short exposure. Conceptually, the RT-Liquidation Engine-Delta Indicator computes the following items:
Aggregates the estimated long and short positions from the projected Liquidation Levels.
Calculates a net difference (delta) between those two estimates.
Displays that difference so traders can see when the projected open interest appears skewed to one side. When the estimated order book is heavily skewed in one direction, the market may sometimes move in the opposite direction as conditions rebalance. The delta view is designed to provide context for those potential rebalancing moves, not to predict exact turning points.
Tuning options for the RT-Liquidation Engine-Delta Indicator are aligned with the RT-Liquidation Engine-Levels Indicator settings. If you change filters, toggles, or colors in the Levels tool, it is recommended to mirror those settings in the Delta tool so both views remain synchronized.
Best Practices
Some common usage patterns include:
Timeframes – Many traders prefer to use Liquidation Engine on intraday timeframes under 60 minutes. Timeframes such as 30-minute candles or smaller are often used when monitoring leveraged flows.
Load Times – The algorithm performs a significant amount of calculations to project these Liquidation Levels and Deltas. On some symbols and timeframes, this can take noticeable time to load the chart. When changing settings, keep an eye on the loading indicator in the chart header to confirm calculations are still running. In normal conditions, these calculations are completed in less than 30 seconds.
Market Sessions And Levels Out Of Range – If projected levels appear far from current price or do not align with visible action, check the chart’s session settings in the bottom-left of the chart (for example, ETH vs RTH sessions). Ensuring the correct session is active can help keep the displayed levels in a more relevant range.
These guidelines are intended to make the tool easier to work with and to keep expectations realistic when interpreting the projections.
What Makes This Tool Different
While many indicators focus on price alone, the Liquidation Engine Levels and Delta tools are designed specifically around estimated liquidation behavior: It concentrates on where leveraged positions may be at risk, rather than only where price has been in the past.
It segments projected levels by leverage tier so traders can distinguish between different risk profiles on the chart.
It includes both a level-mapping view and a delta view, providing context for both where levels sit and how imbalanced the estimated positioning might be.
Important Note
The RT-Liquidation Engine-Levels and RT-Liquidation Engine-Delta tools provide an approximation of where leveraged positions might be vulnerable based solely on chart data. They do not access actual exchange liquidation feeds, does not reveal real trader positions, and cannot guarantee that a projected level will cause price to react.
This indicator is intended to provide additional context around potential liquidation zones and positioning imbalances. It is not a standalone signal generator and should always be used together with your own analysis, testing, and risk management. Historical interactions with projected Liquidation Levels, including any illustrative examples, do not guarantee future results.
🐋 Tight lines and happy trading!
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