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.
サイクル
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).
Trend Breakout & Ratchet Stop System [Market Filter]Description:
This strategy implements a robust trend-following system designed to capture momentum moves while strictly managing downside risk through a multi-stage "Ratchet" exit mechanism and broad market filters.
It is designed for swing traders who want to align individual stock entries with the overall market direction.
How it works:
1. Market Regime Filters (The "Safety Check") Before taking any position, the strategy checks the health of the broader market to avoid "catching falling knives."
Broad Market Filter: By default, it checks NASDAQ:QQQ (adjustable). If the benchmark is trading below its SMA 200, the strategy assumes a Bear Market and suppresses all new long entries.
Volatility Filter (VIX): Uses CBOE:VIX to gauge fear. If the VIX is above a specific threshold (Default: 32), entries are paused, and existing positions can optionally be closed to preserve capital.
2. Entry Logic Entries are based on Momentum and Trend confirmation. A position is opened if filters are clear AND one of the following occurs:
Golden Cross: SMA 25 crosses over SMA 50.
SMA Breakouts: A "Three-Bar-Break" logic confirms a breakout above the SMA 50, 100, or 200 (price must establish itself above the moving average).
3. The "Ratchet" Exit System The exit logic evolves as the trade progresses, tightening risk like a ratchet:
Stage 0 (Initial Risk): Starts with a standard percentage Stop Loss from the entry price.
Stage 1 (Breakeven/Lock): Once the price rises by Profit Step 1 (e.g., +10%), the Stop Loss jumps to a tighter level and locks there. This secures the initial move.
Stage 2 (Trailing Mode): If the price continues to rise to Profit Step 2 (e.g., +15%), the Stop Loss converts into a dynamic Trailing Stop relative to the Highest High. This allows the trade to run as long as the trend persists.
Additional Exits:
Dead Cross: Closes position if SMA 25 crosses under SMA 50.
VIX Panic: Emergency exit if volatility spikes above the threshold.
Settings & Customization:
SMAs: Adjustable lengths for all Moving Averages.
Filters: Toggle Market/VIX filters on/off and choose your benchmark ticker (e.g., SPY or QQQ).
Risk Management: Fully customizable percentages for the Ratchet steps (Initial SL, Stage 1 Trigger, Trailing distance).
Dynamic Ratchet Trend Strategy [VIX Filter]Overview This strategy is a long-only trend-following system designed to capture major market moves while strictly managing downside risk through a state-machine based "Ratchet" exit logic. It incorporates a volatility filter using the CBOE VIX index to stay out of (or exit) the market during high-stress environments.
Key Features
1. Multi-Condition Entries The strategy looks for momentum shifts and trend breakouts using four Simple Moving Averages (25, 50, 100, 200).
Momentum Cross: SMA 25 crossover above SMA 50.
Trend Breakouts: A specific "3-Bar Breakout" logic above the SMA 50, 100, or 200. This requires the price to hold above the SMA for 3 consecutive bars after being below it, reducing false signals compared to simple closes.
2. VIX Volatility Filter Before entering any trade, the script checks the CBOE:VIX.
Filter: If VIX is above the threshold (default 32), new entries are blocked.
Panic Exit: If you are in a position and the VIX spikes above the threshold, the strategy executes an immediate "Panic Exit" to preserve capital during market crashes.
3. The "Ratchet" Exit System (3 Stages) Unlike a standard trailing stop, this strategy uses a 3-stage dynamic exit mechanism that tightens as profits grow:
Stage 0 (Initial Risk): Standard percentage-based Stop Loss from the entry price.
Stage 1 (The Lock-In): Triggered when profit hits 10% (configurable).
Unique Logic: Instead of trailing from the highest high, the stop is calculated based on the price at the exact moment this stage was triggered. It "steps up" once and holds, securing the initial move without being prematurely stopped out by normal volatility.
Stage 2 (Trailing Mode): Triggered when profit hits 15% (configurable).
The strategy switches to a classic Trailing Stop, following the percentage distance from the Highest High.
4. Emergency Backup A "Dead Cross" (SMA 25 crossing under SMA 50) acts as a final fail-safe to close positions if the trend reverses completely before hitting a stop.
Settings & Inputs
SMAs: Customize the lengths for all four moving averages.
VIX Filter: Toggle the filter on/off and set the panic threshold.
Exit Logic: Fully customizable percentages for Initial SL, Stage 1 Trigger/Distance, and Stage 2 Trigger/Trailing Distance.
Disclaimer This script is for educational purposes only. Past performance is not indicative of future results. Always manage your risk appropriately.
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.
Ratchet Exit Trend Strategy with VIX FilterThis strategy is a trend-following system designed specifically for volatile markets. Instead of focusing solely on the "perfect entry," this script emphasizes intelligent trade management using a custom **"Ratchet Exit System."**
Additionally, it integrates a volatility filter based on the CBOE Volatility Index (VIX) to minimize risk during extreme market phases.
### 🎯 The Concept: Ratchet Exit
The "Ratchet" system operates like a mechanical ratchet tool: the Stop Loss can only move in one direction (up, for long trades) and "locks" into specific stages. The goal is to give the trade "room to breathe" initially to avoid being stopped out by noise, then aggressively reduce risk as the trade moves into profit.
The exit logic moves through 3 distinct phases:
1. **Phase 0 (Initial Risk):** At the start of the trade, a wide Stop Loss is set (Default: 10%) to tolerate normal market volatility.
2. **Phase 1 (Risk Reduction):** Once the trade reaches a specific floating profit (Default: +10%), the Stop Loss is raised and "pinned" to a fixed value (Default: -8% from entry). This drastically reduces risk while keeping the trade alive.
3. **Phase 2 (Trailing Mode):** If the trend extends to a higher profit zone (Default: +15%), the Stop switches to a dynamic Trailing Mode. It follows the **Highest High** at a fixed percentage distance (Default: 8%).
### 🛡️ VIX Filter & Panic Exit
High volatility is often the enemy of trend-following strategies.
* **Entry Filter:** The system will not enter new positions if the VIX is above a user-defined threshold (Default: 32). This helps avoid entering "falling knife" markets.
* **Panic Exit:** If the VIX spikes above the threshold (32) while a trade is open, the position is closed immediately to protect capital (Emergency Exit).
### 📈 Entry Signals
The strategy trades **LONG only** and uses Simple Moving Averages (SMAs) to identify trends:
* **Golden Cross:** SMA 25 crosses over SMA 50.
* **3-Bar Breakouts:** A confirmation logic where the price must close above the SMA 50, 100, or 200 for 3 consecutive bars.
### ⚙️ Settings (Inputs)
All parameters are fully customizable via the settings menu:
* **SMAs:** Lengths for the trend indicators (Default: 25, 50, 100, 200).
* **VIX Filter:** Toggle the filter on/off and adjust the panic threshold.
* **Ratchet Settings:** Percentages for Initial Stop, Trigger Levels for Stages 1 & 2, and the Trailing Distance.
### ⚠️ Technical Note & Risk Warning
This script uses `request.security` to fetch VIX data. Please ensure you understand the risks associated with trading leveraged or volatile assets. Past performance is not indicative of future results.
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.
[iQ]PRO Quant GANN FOURIER VZO RANGE+🔮 PRO Quant GANN FOURIER VZO RANGE+
A Highly Adaptive and Proprietary Quantitative Strategy for Precision Market Analysis
This is the official description for the PRO Quant GANN FOURIER VZO RANGE+ strategy, a sophisticated, closed-source system engineered for high-level market engagement. This tool integrates multiple independent quantitative models into a single, cohesive Ensemble Signal, providing an edge through robust, multi-dimensional analysis.
🔬 Core Quantitative Architecture
The strategy is built on the convergence of several powerful, state-of-the-art analytical components, each designed to capture a distinct facet of market dynamics:
Proprietary Gann Swing Models: We utilize a dual-approach to Gann analysis.
Array–Based Gann Swing: A proprietary implementation leveraging advanced Pine Script array structures for dynamic tracking of significant price pivots and structure shifts. This component continuously monitors market momentum and potential areas of interest, including proprietary "ChoCh" (Change of Character) detection—a highly sensitive mechanism for identifying early trend inflection points. This core mechanism provides a high-frequency structural view of the market.
Composite Multi-Timeframe Gann Swing: This model synthesizes traditional swing analysis across two distinct timeframes to filter noise and confirm structural trends, ensuring the system operates with conviction against the backdrop of a higher-level market perspective.
VZO/VSA (Volume Zone Oscillator/Volume Spread Analysis) Hybrid: This module is engineered to analyze the crucial relationship between price momentum and volume flow, specifically using a Volume Zone Oscillator (VZO) approach integrated with Volume Spread Analysis (VSA) principles. It is designed to identify underlying accumulation and distribution activity with a unique dual-timeframe composite for enhanced signal quality.
Trend and Statistical Component: A dedicated module assesses the statistical bias and slope of the aggregated market movement, providing a crucial check against overextension and ensuring alignment with the underlying price regression trajectory.
⚖️ The Ensemble Signal and Trade Logic
All independent signals—Gann Array, Composite Gann, VZO/VSA, and Trend—are processed through a Weighted Ensemble Logic.
Weighted Voting: Each component's signal is assigned a customizable weight (input parameters wGannComp, wVZO, etc.) to reflect its relative importance in the current market environment.
Threshold-Based Decision: The weighted average of all signals results in an Ensemble Signal. Only when this signal decisively exceeds a customizable Signal Threshold does the system generate a Final Signal for trade execution. This rigor is key to filtering lower-conviction setups.
The strategy's execution logic is designed to open and close positions dynamically based on the Final Signal, maintaining maximum control with a default position size of 15% of equity per trade. A dedicated toggle allows for aggressive position management to "stay in" trades longer under specific conditions identified by the proprietary swing models.
⚙️ Strategic Advantages and Exclusivity
This strategy is marked by its extreme adaptability, incorporating features such as:
Higher Timeframe Synthesis: Crucial components utilize multi-timeframe confirmation to validate signals.
Price Smoothing: An optional, light-touch EMA smoothing is applied to the input price data to enhance signal clarity and reduce spurious whipsaws.
Due to the proprietary nature and complexity of the underlying swing detection algorithms and array management, the source code is kept strictly closed-source. This ensures the continued analytical edge and integrity of the model for our exclusive community.
OG INDICATOR TO MESS AROUND WITH, USE RIGHT, AND ENJOY. PRO STRATS COMING TOO
NFA.
MKNiQ
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.
[iQ]PRO PORASL+🌟 PRO PORASL+ | Dynamic Momentum & Trend Oscillator 🌟
The PRO PORASL+ is a proprietary, closed-source technical analysis tool meticulously engineered to deliver exceptional clarity on market momentum, trend strength, and potential reversal points beneath the surface of price action.
This indicator is not merely a traditional oscillator; it represents a sophisticated evolution of classic concepts, adapting to modern market dynamics to provide a powerful edge. It generates a single, normalized plot that oscillates between -100 and +100, offering an intuitive visual gauge of underlying directional bias and velocity.
🔍 Core Functionality & Purpose
Advanced Price Normalization: At its core, the indicator employs a unique, multi-stage calculation to first normalize the current price against a dynamically determined high-low range over a configurable lookback period. This crucial step removes the dependency on absolute price levels, allowing for consistent and cross-asset comparisons.
Dual-Layered Smoothing: To filter out market noise and amplify significant shifts, the PRO PORASL+ utilizes a dual-layered smoothing architecture. It applies specialized, proprietary Exponential Moving Average (EMA) techniques at multiple stages of the calculation—to the price series, the average series, and the final normalized ratio—ensuring only high-conviction signals are generated.
Momentum Ratio Analysis: The centerpiece of the indicator is a proprietary ratio comparison. It strategically compares the normalized position of the current price against the normalized position of a specially calculated smoothed average. The resulting ratio forms the basis of the final oscillator value, providing a sensitive measure of whether momentum is accelerating or decelerating relative to the established trend.
📊 Interpretive Features
Normalized Scale: The oscillator's normalized output ranges from -100 to +100. Values above 0 indicate a dominant bullish structure, while values below 0 indicate a dominant bearish structure. Extreme values nearing ±100 suggest maximum momentum strength.
Zero-Line Crossover: Crosses of the Zero Line are pivotal signals, often highlighting a significant shift in market control from buyers to sellers, or vice-versa.
Intelligent Bar Coloring: The indicator features a unique Bar Coloring Module to assist in visual confirmation and trend identification. The bar color adapts dynamically, distinguishing between:
Strong Directional Movement (Bullish/Bearish Confirmation)
Neutral/Zero-Line Transition
Crucial Reversal/Transition Zones (Indicating a potential shift in momentum before a full trend change)
🛡️ Exclusivity and IP Protection
The methodology utilized in the PRO PORASL+ incorporates several proprietary mathematical concepts, including specialized TEMA and SSMA applications, custom clamping functions, and a unique formula for the momentum ratio. This tool is meant to be published as a closed-source, invite-only indicator for our valued, paying members to ensure the protection of our intellectual property and the integrity of the signals provided. Free for hopeful followers and members of discord where i share grants to trials and more access . More joining discord and following sobadubdub the more fun tools are useable. . ;)
The PRO PORASL+ is designed to be an indispensable tool for traders seeking a deep, refined understanding of market momentum and trend trajectory. Candle coloring for old smart people!
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!
[iQ]PRO Dealing Range Cycle & Spectral Regression Histogram+🌟 PRO Dealing Range Cycle & Spectral Regression Histogram+ (DRC/SRH+)
Category: Advanced Market Cycle, Momentum, and Trend Analysis
The PRO Dealing Range Cycle & Spectral Regression Histogram+ is a meticulously engineered analytical tool, designed to provide our members with a superior, proprietary view of market structure, momentum, and mean reversion dynamics. This professional-grade indicator operates on a non-overlay panel, offering a clean and powerful interpretation layer distinct from the main price action.
🔬 Core Mechanism: Dual-Layered Analysis
This indicator combines two distinct, yet complementary, proprietary mathematical frameworks to deliver a holistic market picture:
The Dealing Range Cycle (DRC):
Utilizes a sophisticated, custom-displaced detrending oscillator built upon specialized percentage mathematics, rather than simple raw price differences.
The DRC identifies the latent cyclical forces within the price action, separating short-term noise from dominant swings.
It defines a "Dealing Range" through dynamically calculated High and Low Anchors, which represent the proprietary extremes of the current cycle. This framework provides invaluable context for understanding current price compression and expansion potentials.
The Quant Trend Signal is an integral component of the DRC, employing an adaptive logic to color-code the underlying direction of the core cyclical momentum, offering a robust directional confirmation.
The Spectral Regression Histogram (SRH+):
This component serves as the "Underpin Momentum" layer, a sensitive reading of current market velocity and pressure.
It employs a customized Spectral Regression Model to calculate deviations from an idealized price path. This is then passed through an advanced filtering and smoothing pipeline to extract high-frequency momentum components.
The SRH+ is visually presented as a Heatmap Histogram, dynamically color-graded to reflect the intensity of bullish (Gold/Yellow) or bearish (Bright Fuchsia) pressure. This gives users an immediate, spectral sense of the market's internal kinetic energy.
✨ Distinctive Features & Advantages
Proprietary Math Functions: The indicator relies on internalized custom mathematical functions (including specialized averages and high-precision linear regression) to generate unique, non-standard outputs that cannot be replicated with conventional indicators.
Decoupled Visualization: By operating on a separate panel, the DRC and SRH+ provide a noise-free environment for analysis, allowing for unambiguous interpretation of cyclical turning points and momentum shifts.
Intuitive Configuration: All core parameters, including Cycle Length, Regression Lookback, and Spectral Scale Factor, are meticulously organized into logical groups, allowing advanced users to fine-tune the engine without disrupting its proprietary internal logic.
The PRO DRC/SRH+ is not just an indicator; it is a diagnostic tool for the serious market participant, providing a powerful, proprietary lens to anticipate structural shifts and capitalize on the true rhythm of the market. Access is restricted to our most dedicated members, ensuring its edge remains sharp and exclusive.
