Simplified Percentile ClusteringSimplified Percentile Clustering (SPC) is a clustering system for trend regime analysis.
Instead of relying on heavy iterative algorithms such as k-means, SPC takes a deterministic approach: it uses percentiles and running averages to form cluster centers directly from the data, producing smooth, interpretable market state segmentation that updates live with every bar.
Most clustering algorithms are designed for offline datasets, they require recomputation, multiple iterations, and fixed sample sizes.
SPC borrows from both statistical normalization and distance-based clustering theory , but simplifies them. Percentiles ensure that cluster centers are resistant to outliers , while the running mean provides a stable mid-point reference.
Unlike iterative methods, SPC’s centers evolve smoothly with time, ideal for charts that must update in real time without sudden reclassification noise.
SPC provides a simple yet powerful clustering heuristic that:
Runs continuously in a charting environment,
Remains interpretable and reproducible,
And allows traders to see how close the current market state is to transitioning between regimes.
Clustering by Percentiles
Traditional clustering methods find centers through iteration. SPC defines them deterministically using three simple statistics within a moving window:
Lower percentile (p_low) → captures the lower basin of feature values.
Upper percentile (p_high) → captures the upper basin.
Mean (mid) → represents the central tendency.
From these, SPC computes stable “centers”:
// K = 2 → two regimes (e.g., bullish / bearish)
=
// K = 3 → adds a neutral zone
=
These centers move gradually with the market, forming live regime boundaries without ever needing convergence steps.
Two clusters capture directional bias; three clusters add a neutral ‘range’ state.
Multi-Feature Fusion
While SPC can cluster a single feature such as RSI, CCI, Fisher Transform, DMI, Z-Score, or the price-to-MA ratio (MAR), its real strength lies in feature fusion. Each feature adds a unique lens to the clustering system. By toggling features on or off, traders can test how each dimension contributes to the regime structure.
In “Clusters” mode, SPC measures how far the current bar is from each cluster center across all enabled features, averages these distances, and assigns the bar to the nearest combined center. This effectively creates a multi-dimensional regime map , where each feature contributes equally to defining the overall market state.
The fusion distance is computed as:
dist := (rsi_d * on_off(use_rsi) + cci_d * on_off(use_cci) + fis_d * on_off(use_fis) + dmi_d * on_off(use_dmi) + zsc_d * on_off(use_zsc) + mar_d * on_off(use_mar)) / (on_off(use_rsi) + on_off(use_cci) + on_off(use_fis) + on_off(use_dmi) + on_off(use_zsc) + on_off(use_mar))
Because each feature can be standardized (Z-Score), the distances remain comparable across different scales.
Fusion mode combines multiple standardized features into a single smooth regime signal.
Visualizing Proximity - The Transition Gradient
Most indicators show binary or discrete conditions (e.g., bullish/bearish). SPC goes further, it quantifies how close the current value is to flipping into the next cluster.
It measures the distances to the two nearest cluster centers and interpolates between them:
rel_pos = min_dist / (min_dist + second_min_dist)
real_clust = cluster_val + (second_val - cluster_val) * rel_pos
This real_clust output forms a continuous line that moves smoothly between clusters:
Near 0.0 → firmly within the current regime
Around 0.5 → balanced between clusters (transition zone)
Near 1.0 → about to flip into the next regime
Smooth interpolation reveals when the market is close to a regime change.
How to Tune the Parameters
SPC includes intuitive parameters to adapt sensitivity and stability:
K Clusters (2–3): Defines the number of regimes. K = 2 for trend/range distinction, K = 3 for trend/neutral transitions.
Lookback: Determines the number of past bars used for percentile and mean calculations. Higher = smoother, more stable clusters. Lower = faster reaction to new trends.
Lower / Upper Percentiles: Define what counts as “low” and “high” states. Adjust to widen or tighten cluster ranges.
Shorter lookbacks react quickly to shifts; longer lookbacks smooth the clusters.
Visual Interpretation
In “Clusters” mode, SPC plots:
A colored histogram for each cluster (red, orange, green depending on K)
Horizontal guide lines separating cluster levels
Smooth proximity transitions between states
Each bar’s color also changes based on its assigned cluster, allowing quick recognition of when the market transitions between regimes.
Cluster bands visualize regime structure and transitions at a glance.
Practical Applications
Identify market regimes (bullish, neutral, bearish) in real time
Detect early transition phases before a trend flip occurs
Fuse multiple indicators into a single consistent signal
Engineer interpretable features for machine-learning research
Build adaptive filters or hybrid signals based on cluster proximity
Final Notes
Simplified Percentile Clustering (SPC) provides a balance between mathematical rigor and visual intuition. It replaces complex iterative algorithms with a clear, deterministic logic that any trader can understand, and yet retains the multidimensional insight of a fusion-based clustering system.
Use SPC to study how different indicators align, how regimes evolve, and how transitions emerge in real time. It’s not about predicting; it’s about seeing the structure of the market unfold.
Disclaimer
This indicator is intended for educational and analytical use.
It does not generate buy or sell signals.
Historical regime transitions are not indicative of future performance.
Always validate insights with independent analysis before making trading decisions.
Indikatoren und Strategien
Volume Spike and Contraction IndicatorSimple script to map volume contractions and spikes with emojis and plots above or below depending on the flow of the signal
Sequential Trend + Momentum Long and Short📈 Signals
🟢 Long Entry: EMA trend turns bullish and RSI confirms momentum.
🔴 Short Entry: EMA trend turns bearish and RSI confirms momentum.
🟢 Long Exit: Price drops below EMA Exit zone.
🔴 Short Exit: Price rises above EMA Exit zone.
🧩 Parameters
Input Description
EMA Fast Short-term EMA for trend detection
EMA Slow Medium-term EMA for trend filtering
EMA Exit Longer EMA for trailing exit confirmation
RSI Length Period of RSI used for momentum check
RSI Long Threshold RSI value confirming bullish momentum
RSI Short Threshold RSI value confirming bearish momentum
🚀 How to Use
Apply the indicator on your preferred timeframe (15min–1h recommended).
Use Long Entry and Short Entry markers for potential trade setups.
Combine with your own stop-loss & target rules or automate via webhook.
Alerts are built-in for all entries/exits and can be sent to trading bots or brokers.
🔔 Alerts
Sequential Long Entry Triggered → triggers when bullish conditions align.
Sequential Long Exit Triggered → triggers when long trend weakens.
Sequential Short Entry Triggered → triggers when bearish conditions align.
Sequential Short Exit Triggered → triggers when short trend weakens.
🧭 Best Practices
Works best in trending markets; avoid ranging conditions.
Can be paired with volume filters or higher timeframe confirmation for better accuracy.
Adjustable EMA and RSI values make it flexible across assets (stocks, crypto, indices).
Fusion Screener📘 Fusion Screener (MA + Oscillator + Range Breakout + Angle Filter + Trailing Alerts)
The Fusion Screener is a technical-analysis study that combines multiple indicator categories into one framework.
It evaluates moving-average alignment, oscillator conditions, range separation, and angle thresholds, and it optionally issues time- or structure-based trailing alerts.
The script is intended for screening and chart-based analysis, not for generating trading or investment advice.
🔧 Main Components
Moving-Average Votes – Calculates five moving averages (10 – 200 periods) on a selected analysis timeframe and counts how many are positioned above or below the current price.
Oscillator Votes – Evaluates RSI, MACD, and Momentum on the same timeframe and counts bullish or bearish readings.
Higher-Timeframe Filter – Optionally checks the relationship between price and an EMA on a higher timeframe to provide directional context.
Range-Breakout Logic – Compares two customizable moving averages and determines whether price has moved outside a defined separation threshold.
Angle Filter – Estimates the slope (in degrees) of a chosen moving average and filters conditions that do not meet the minimum angle requirement.
Trailing Alerts – Generates optional time-based or structure-based reminder alerts after entries occur, according to user-defined intervals or pivot behavior.
⚙️ User Inputs
Analysis Timeframe – Selects the timeframe used for MA and oscillator calculations.
Min MA Votes / Min Oscillator Votes – Minimum number of bullish or bearish readings required to satisfy each group.
Higher-Timeframe Confirmation – Enables or disables the directional EMA filter from a separate timeframe.
Range MA Type / Lengths / Threshold – Parameters controlling the range-breakout comparison.
Angle Filter Settings – Type, length, slope-lookback, and minimum angle (degrees).
Trailing Alerts – Options for bar-based or structure-based trailing reminders, including repetition behavior and pivot lookback length.
Show Signals – Toggles on-chart markers for informational visualization.
🖥️ Outputs
On-chart shapes marking informational “buy,” “strong buy,” “sell,” and “strong sell” conditions when corresponding criteria are met.
Exit markers when prior conditions no longer hold.
Flags when time- or structure-based trailing alerts are triggered.
Built-in alert conditions that can be linked through the TradingView alert interface.
📊 Technical Notes
Uses request.security() for multi-timeframe data retrieval.
Does not repaint past bars once higher-timeframe candles have closed.
Intended for monitoring the coexistence of several technical factors within a single script.
No part of this study constitutes financial or trading advice; it provides analytical data for chart observation only.
Momentum-Based Fair Value Gaps [BackQuant]Momentum-Based Fair Value Gaps
A precision tool that detects Fair Value Gaps and color-codes each zone by momentum, so you can quickly tell which imbalances matter, which are likely to fill, and which may power continuation.
What is a Fair Value Gap
A Fair Value Gap is a 3-candle price imbalance that forms when the middle candle expands fast enough that it leaves a void between candle 1 and candle 3.
Bullish FVG : low > high . This marks a bullish imbalance left beneath price.
Bearish FVG : high < low . This marks a bearish imbalance left above price.
These zones often act as magnets for mean reversion or as fuel for trend continuation when price respects the gap boundary and runs.
Why add momentum
Not all gaps are equal. This script measures momentum with RSI on your chosen source and paints each FVG with a momentum heatmap. Strong-momentum gaps are more likely to hold or propel continuation. Weak-momentum gaps are more likely to fill.
Core Features
Auto FVG Detection with size filters in percent of price.
Momentum Heatmap per gap using RSI with smoothing. Multiple palettes: Gradient, Discrete, Simple, and scientific schemes like Viridis, Plasma, Inferno, Magma, Cividis, Turbo, Jet, plus Red-Green and Blue-White-Red.
Bull and Bear Modes with independent toggles.
Extend Until Filled : keep drawing live to the right until price fully fills the gap.
Auto Remove Filled for a clean chart.
Optional Labels showing the smoothed RSI value stored at the gap’s birth.
RSI-based Filters : only accept bullish gaps when RSI is oversold and bearish gaps when RSI is overbought.
Performance Controls : cap how many FVGs to keep on chart.
Alerts : new bullish or bearish FVG, filled FVG, and extreme RSI FVGs.
How it works
Source for Momentum : choose Returns, Close, or Volume.
Returns computes percent change over a short lookback to focus on impulse quality.
RSI and Smoothing : RSI length and a small SMA smooth the signal to stabilize the color coding.
Gap Scan : each bar checks for a 3-candle bullish or bearish imbalance that also clears your minimum size filter in percent of price.
Heatmap Color : the gap is painted at creation with a color from your palette based on the smoothed RSI value, preserving the momentum signature that formed it.
Lifecycle : if Extend Unfilled is on, the zone projects forward until price fully trades through the far edge. If Auto Remove is on, a filled gap is deleted immediately.
How to use it
Scan for structure : turn on both bullish and bearish FVGs. Start with a moderate Min FVG Size percent to reduce noise. You will see stacked clusters in trends and scattered singletons in chop.
Read the colors : brighter or stronger palette values imply stronger momentum at gap formation. Weakly colored gaps are lower conviction.
Decide bias : bullish FVGs below price suggest demand footprints. Bearish FVGs above price suggest supply footprints. Use the heatmap and RSI value to rank importance.
Choose your playbook :
Mean reversion : target partial or full fills of opposing FVGs that were created on weak momentum or that sit against higher timeframe context.
Trend continuation : look for price to respect the near edge of a strong-momentum FVG, then break away in the direction of the original impulse.
Manage risk : in continuation ideas, invalidation often sits beyond the opposite edge of the active FVG. In reversion ideas, invalidation sits beyond the gap that should attract price.
Two trade playbooks
Continuation - Buy the hold of a bullish FVG
Context uptrend.
A bullish FVG prints with strong RSI color.
Price revisits the top of the gap, holds, and rotates up. Enter on hold or first higher low inside or just above the gap.
Invalidation: below the gap bottom. Targets: prior swing, measured move, or next LV area.
Reversion - Fade a weak bearish FVG toward fill
Context range or fading trend.
A bearish FVG prints with weak RSI color near a completed move.
Price fails to accelerate lower and rotates back into the gap.
Enter toward mid-gap with confirmation.
Invalidation: above gap top. Target: opposite edge for a full fill, or the gap midline for partials.
Key settings
Max FVG Display : memory cap to keep charts fast. Try 30 to 60 on intraday.
Min FVG Size % : sets a quality floor. Start near 0.20 to 0.50 on liquid markets.
RSI Length and Smooth : 14 and 3 are balanced. Increase length for higher timeframe stability.
RSI Source :
Returns : most sensitive to true momentum bursts
Close : traditional.
Volume : uses raw volume impulses to judge footprint strength.
Filter by RSI Extremes : tighten rules so only the most stretched gaps print as signals.
Heatmap Style and Palette : pick a palette with good contrast for your background. Gradient for continuous feel, Discrete for quick zoning, Simple for binary, Palette for scientific schemes.
Extend Unfilled - Auto Remove : choose live projection and cleanup behavior to match your workflow.
Reading the chart
Bullish zones sit beneath price. Respect and hold of the upper boundary suggests demand. Strong green or warm palette tones indicate impulse quality.
Bearish zones sit above price. Respect and hold of the lower boundary suggests supply. Strong red or cool palette tones indicate impulse quality.
Stacking : multiple same-direction gaps stacked in a trend create ladders. Ladders often act as stepping stones for continuation.
Overlapping : opposing gaps overlapping in a small region usually mark a battle zone. Expect chop until one side is absorbed.
Workflow tips
Map higher timeframe trend first. Use lower timeframe FVGs for entries aligned with the higher timeframe bias.
Increase Min FVG Size percent and RSI length for noisy symbols.
Use labels when learning to correlate the RSI numbers with your palette colors.
Combine with VWAP or moving averages for confluence at FVG edges.
If you see repeated fills and refills of the same zone, treat that area as fair value and avoid chasing.
Alerts included
New Bullish FVG
New Bearish FVG
Bullish FVG Filled
Bearish FVG Filled
Extreme Oversold FVG - bullish
Extreme Overbought FVG - bearish
Practical defaults
RSI Length 14, Smooth 3, Source Returns.
Min FVG Size 0.25 percent on liquid majors.
Heatmap Style Gradient, Palette Viridis or Turbo for contrast.
Extend Unfilled on, Auto Remove on for a clean live map.
Notes
This tool does not predict the future. It maps imbalances and momentum so you can frame trades with clearer context, cleaner invalidation, and better ranking of which gaps matter. Use it with risk control and in combination with your broader process.
ETH OHLC by tncylyvETH OHLC Projection Levels
📜 Indicator Description
This indicator projects key potential price levels for Ethereum (ETH) based on its historical price behavior. Using the opening price of a user-selected timeframe (4H, 1D, or 1W) as a baseline, it calculates and displays statistically-derived levels for potential "Manipulation" and "Distribution" phases of price action.
These projections are designed to provide traders with potential zones of interest for support, resistance, stop-loss placement, and take-profit targets for the current trading period.
________________________________________
🧠 Core Concepts Explained
The indicator is built on two key concepts derived from candlestick analysis:
• Manipulation: This represents the initial price movement that occurs against the candle's eventual primary direction.
o For a bullish candle, it's the extent of the lower wick (the move from Open down to Low).
o For a bearish candle, it's the extent of the upper wick (the move from Open up to High).
o The "M" levels on the chart project the average (mean and median) historical size of this manipulation wick, suggesting potential areas for liquidity grabs or stop hunts.
• Distribution: This represents the primary price movement in the direction of the candle's trend.
o For a bullish candle, it's the total move from Open to High.
o For a bearish candle, it's the total move from Open to Low.
o The "D" levels project the average (mean and median) historical range of this price expansion, suggesting potential targets for the period.
________________________________________
📊 Data & Methodology
It is important to note that the statistical ratios used for the projections are not calculated in real-time by the indicator itself.
These values have been pre-calculated through an extensive historical analysis performed in Python. The analysis used the complete historical ETH/USD price data from the Coinbase exchange to determine the mean and median ratios for both manipulation and distribution across the different timeframes. The resulting fixed values are then hard-coded into the script to ensure performance and consistency.
________________________________________
⚙️ How to Use It
At the beginning of each new period (e.g., at the start of a new day on the 1D timeframe), the indicator will draw a new set of horizontal lines and zones based on that period's opening price.
• The central dotted line represents the Opening Price for the selected timeframe.
• Manipulation Levels (+M / -M): These inner levels can be interpreted as potential reversal zones. Price may test these areas to trigger stops before moving in the primary direction for the session.
• Distribution Levels (+D / -D): These outer levels can be used as potential take-profit targets, representing the average historical price extension for a period.
• Mean vs. Median Zones: The script plots levels based on both the historical mean (average) and median (middle value). The shaded area between them creates a zone rather than a single price line, offering a more practical range for analysis.
________________________________________
🛠️ Settings and Features
• Projection Timeframe: Select the primary timeframe for the analysis (4H, 1D, or 1W). The historical data used for projections is specific to the chosen timeframe.
• Historical Periods to Show: Adjust how many past periods of data you want to see on your chart. A value of 1 will only show the projections for the current, active period.
• Timezone (UTC-4): The 4H calculations are based on a fixed UTC-4 timezone to align with specific, high-volume market sessions (e.g., New York open). This is not changeable to ensure data consistency.
• Visual Customization: You have full control over the appearance of the indicator.
o Toggle the visibility, colors, and line styles for the Open price line and each of the Manipulation/Distribution levels using their respective checkboxes and inputs.
o Enable or disable the shaded fills between the mean and median levels.
o Tip: To quickly hide all price labels at once, edit the "Label Color" setting and set its opacity to 100% (fully transparent).
BTC OHLC by tncylyvBTC OHLC Projection Levels
📜 Indicator Description
This indicator projects key potential price levels for Bitcoin (BTC) based on historical price behavior. Using the opening price of a user-selected timeframe (4H, 1D, or 1W) as a baseline, it calculates and displays statistically-derived levels for potential "Manipulation" and "Distribution" phases of price action.
These projections are designed to provide traders with potential zones of interest for support, resistance, stop-loss placement, and take-profit targets for the current trading period.
________________________________________
🧠 Core Concepts Explained
The indicator is built on two key concepts derived from candlestick analysis:
• Manipulation: This represents the initial price movement that occurs against the candle's eventual primary direction.
o For a bullish candle, it's the extent of the lower wick (the move from Open down to Low).
o For a bearish candle, it's the extent of the upper wick (the move from Open up to High).
o The "M" levels on the chart project the average (mean and median) historical size of this manipulation wick, suggesting potential areas for liquidity grabs or stop hunts.
• Distribution: This represents the primary price movement in the direction of the candle's trend.
o For a bullish candle, it's the total move from Open to High.
o For a bearish candle, it's the total move from Open to Low.
o The "D" levels project the average (mean and median) historical range of this price expansion, suggesting potential targets for the period.
________________________________________
📊 Data & Methodology
It is important to note that the statistical ratios used for the projections are not calculated in real-time by the indicator itself.
These values have been pre-calculated through an extensive historical analysis performed in Python. The analysis used the complete historical BTC/USD price data from the Coinbase exchange to determine the mean and median ratios for both manipulation and distribution across the different timeframes. The resulting fixed values are then hard-coded into the script to ensure performance and consistency.
________________________________________
⚙️ How to Use It
At the beginning of each new period (e.g., at the start of a new day on the 1D timeframe), the indicator will draw a new set of horizontal lines and zones based on that period's opening price.
• The central dotted line represents the Opening Price for the selected timeframe.
• Manipulation Levels (+M / -M): These inner levels can be interpreted as potential reversal zones. Price may test these areas to trigger stops before moving in the primary direction for the session.
• Distribution Levels (+D / -D): These outer levels can be used as potential take-profit targets, representing the average historical price extension for a period.
• Mean vs. Median Zones: The script plots levels based on both the historical mean (average) and median (middle value). The shaded area between them creates a zone rather than a single price line, offering a more practical range for analysis.
________________________________________
🛠️ Settings and Features
• Projection Timeframe: Select the primary timeframe for the analysis (4H, 1D, or 1W). The historical data used for projections is specific to the chosen timeframe.
• Historical Periods to Show: Adjust how many past periods of data you want to see on your chart. A value of 1 will only show the projections for the current, active period.
• Timezone (UTC-4): The 4H calculations are based on a fixed UTC-4 timezone to align with specific, high-volume market sessions (e.g., New York open). This is not changeable to ensure data consistency.
• Visual Customization: You have full control over the appearance of the indicator.
o Toggle the visibility, colors, and line styles for the Open price line and each of the Manipulation/Distribution levels using their respective checkboxes and inputs.
o Enable or disable the shaded fills between the mean and median levels.
o Tip: To quickly hide all price labels at once, edit the "Label Color" setting and set its opacity to 100% (fully transparent).
Super Secret 50 EMADynamic 50 EMA
The 50 EMA changes color during uptrend and another color during downtrend. User chooses colors.
BTC — CVD Divergence (Spot & Perp, robuste v6)If the price is above the CVD, it usually means the move is being pushed by leverage rather than real buying — the market is stretched and at risk of a correction.
If the price is below the CVD, it suggests that buyers are quietly absorbing — pressure is building for a bullish recovery once leverage clears out.
MA Angle Monitor — Multi-Timeframe (Non-Repainting Option)📘 MA Angle Monitor — Multi-Timeframe (Non-Repainting Option)
The MA Angle Monitor — Multi-Timeframe indicator calculates and compares the slope of a selected moving average (SMA or EMA) across multiple timeframes.
It highlights when all monitored timeframes show similar slope direction and provides visual and alert-based feedback about those conditions.
🔧 Main Functions
Evaluates the change in moving-average value (angle) between two points defined by the user.
Supports up to four custom timeframes that can be individually selected.
Allows the use of either Simple or Exponential moving averages.
Displays background color and optional labels when all chosen timeframes show matching slope direction (up or down).
Generates optional alerts when alignment conditions appear or when they no longer match.
⚙️ Inputs
MA Type: Select between SMA or EMA.
MA Period: Period length of the moving average.
Slope Lookback Bars: Number of bars used for slope comparison.
Angle Threshold: Minimum required difference between current and prior MA value.
Timeframe 1–4: User-defined timeframes for multi-timeframe analysis.
Confirmed-Close Mode: When enabled, uses only closed higher-timeframe data for non-repainting results.
Show Labels / Enable Alerts: Toggles for visual and alert features.
🖥️ Visuals and Alerts
Background shading and optional labels indicate when all selected timeframes are sloping in the same direction.
Built-in alerts can be configured for:
All timeframes sloping upward
All timeframes sloping downward
End of previous alignment
📊 Technical Notes
The indicator can operate in two modes:
Real-Time Mode: Updates during formation of higher-timeframe bars (may vary intrabar).
Confirmed-Close Mode: Uses only completed higher-timeframe bars for stable, non-repainting calculations.
Designed for visual confirmation of slope alignment; it does not generate trading or investment signals.
This version:
✅ Removes all promotional or performance claims.
✅ Avoids terms like “high-probability,” “helps traders,” or “powerful.”
✅ Focuses on describing what the tool does and how it functions.
✅ Fully aligns with TradingView’s published House Rules.
Would you like me to also re-write your Release Notes section in the same compliant tone (so both sections meet their moderation standards)?
Spot vs Leverage — Lite (QQQ/NQ) The indicator works like a thermometer for the quality of a market move.
Score > +20 → “Spot dominant”
👉 The rise (or price stability) is supported by real buying:
strong cash/ETF/equity inflows,
positive price–volume correlation,
low or negative basis (futures aren’t artificially pulling price up).
→ This is a healthy, structurally solid rally.
Score < −20 → “Leverage dominant”
👉 The move is mostly driven by leverage:
overbought futures,
options speculation,
weak spot volume.
→ The trend is fragile — it can collapse quickly if leveraged positions unwind (deleverage, inverse short squeeze, etc.).
Zone between −20 and +20 → Neutral / mixed
→ The market is balanced — neither purely “air” nor purely “cash.”
EMA50/EMA250 + SAR + 3-Candle EMA FilterBUY Trigger:
EMA50>250EMA and current values of both EMAs are higher from 3 previous candles
First appearance of bullish Parabolci Sar
SELL Trigger:
EMA50<250EMA and current values of both EMAs are lower from 3 previous candles
First appearance of bearish Parabolci Sar
- Marlon C
Volume DensityThis indicator calculates the volume density of each bar by dividing the trading volume by the bar's price range (high - low). It highlights bars with higher activity relative to their price movement. Density bars are colored teal if the close is higher than the open, and red if the close is lower. Zero-range bars are ignored to prevent division errors.
Liquidity Sweep Filter [Magu]SMC The smart money concept in forex trading involves understanding the behavior of institutional players, such as banks and hedge funds, and analyzing supply and demand dynamics, order blocks, and price patterns.
SMC is often seen as a repackaged version of price action trading with a long history of producing positive results in various asset classes
Market liquidity is a fundamental concept in financial markets that significantly impacts trading strategies, asset pricing, and financial stability. The stock market is a prime example of a financial market where liquidity plays a crucial role in determining asset prices and trading strategies. Understanding market liquidity helps investors and traders make informed decisions, especially during times of market volatility. This article explores the key concepts, factors affecting liquidity, and strategies to navigate both liquid and illiquid markets
TrendEcho Oscillator [iss2k]🌀 TrendEcho Oscillator
The TrendEcho Oscillator is a hybrid momentum tool that blends the precision of EMA differentials with RSI-style normalization. It’s designed to visualize short-term trend strength, highlight momentum shifts, and reveal dynamic support and resistance levels within the oscillator space.
🔍 Core Concept
The indicator calculates the difference between two EMAs and scales it into a 0–100 range — similar to an RSI — creating a smooth and responsive oscillator that reflects momentum strength.
A secondary “Echo line” (the shifted EMA differential) acts as a delayed shadow, providing confirmation and early warning of potential reversals through crossovers.
📊 Signals
🟢 Buy Signal → When the main line crosses above the Echo line near the lower zone (below 10).
🔴 Sell Signal → When the main line crosses below the Echo line near the upper zone (above 90).
🟩 Neutral Crosses → Crossovers between 10 and 90 indicate possible momentum shifts but not strong overbought/oversold conditions.
🧭 Dynamic Pivot Zones
The oscillator automatically detects pivot highs and lows, projecting horizontal levels that extend until price momentum touches them again. These pivots visualize historical extremes in momentum and can act as dynamic zones of potential reversal or continuation.
⚙️ Inputs
EMA Lengths – control sensitivity of the trend measurement.
Lookback – defines how far back scaling is calculated for normalization.
Pivot Lookback – controls pivot detection sensitivity.
Offset – shifts the secondary Echo line for visual and signal timing control.
💡 Usage Tips
Works best in combination with trend filters (e.g., higher-timeframe EMA or structure analysis).
Strong divergence between the oscillator and price may signal early reversals.
Pivot lines can serve as momentum-based support/resistance within the oscillator.
ICT Complex[Iss2k]📘 ICT Complex — Smart Money Concepts Indicator
Overview
The ICT Complex indicator is a comprehensive Smart Money Concepts (SMC) and ICT-based analysis tool designed to visualize institutional trading concepts such as Order Blocks, Liquidity Voids, Swing Structure, and Market Direction.
It combines multiple elements from the Inner Circle Trader (ICT) methodology to help traders identify potential market reversals, liquidity grabs, and premium/discount trading zones.
🧩 Main Features
1. Order Blocks (OB)
Automatically detects bullish and bearish order blocks based on pivot highs and lows.
Displays order block zones as colored boxes (green for bullish, red for bearish).
Optional auto-deletion: an OB zone disappears once price breaks through it.
Zones are confirmed (locked) when retested, providing confluence for trade entries.
2. Swing Highs & Lows (Market Structure)
Detects swing highs (SH) and swing lows (SL) to visualize market structure shifts.
Draws horizontal lines at each confirmed swing point.
When price breaks above a swing high or below a swing low, the indicator signals potential bullish or bearish market structure shifts (MSS).
3. Liquidity Voids (Imbalances / Fair Value Gaps)
Identifies liquidity voids (imbalances) — areas where price moved too quickly and left inefficiency in the market.
Marks these zones with transparent colored boxes:
🟩 Green for bullish voids
🟥 Red for bearish voids
Can optionally label each void for better visualization.
4. Trend Confirmation (EMA 200)
Includes an EMA200 trend filter to identify overall market direction.
The EMA line changes color:
🟩 Green when trending up
🟥 Red when trending down
Used to filter signals in the direction of institutional order flow.
5. DI Strength & Candle Coloring
Uses a modified Directional Index (DI) to color candles based on strength and direction:
🟩 Green = bullish momentum
🟥 Red = bearish momentum
🟪 Purple = neutral
6. Range Filter Logic
A smoothed range filter helps confirm breakout conditions and trend continuation.
Generates Buy (A / A+) or Sell (A / A+) labels when market structure and filter direction align.
Displays real-time peak profit tracking, showing how far price has moved from the entry signal in percentage.
7. Alerts
Configurable Buy and Sell alerts when valid signals are confirmed on the bar close.
💡 How to Use
Apply the indicator to any timeframe (best results on 15m–4h).
Use Order Blocks and Liquidity Voids to identify institutional areas of interest.
Wait for structure shifts (SH/SL breaks) to confirm direction.
Filter trades with EMA200 and Range Filter signals.
Use Buy/Sell alerts as confirmations, not standalone signals.
⚙️ Customization Options
Toggle visibility for each feature: Order Blocks, Liquidity Voids, Swing Signals, Range Labels, etc.
Adjust sensitivity for swing detection and liquidity voids.
Change colors and maximum number of visual elements to suit your chart style.
📈 Summary
The ICT Complex indicator provides an all-in-one framework for Smart Money trading analysis.
It helps traders understand how institutional liquidity, order flow, and market structure interact — aligning your trades with the principles of ICT and Smart Money Concepts.
GR ML kNN-based Strategy A machine-learning-driven trading strategy built around the k-Nearest Neighbors (kNN) algorithm — designed, tuned, and tested by GR.
This system studies recent price behavior and indicator patterns to predict the probability of the next move (up, down, or neutral) and only trades when multiple confirmations align. It combines data-driven signals with strict market-structure filters for maximum precision.
ATC v6ATC v6 Indicator: Automatic Session and Time Lines
Designed by Alfa Trade Club for TradingView users, ATC v6 is an advanced
indicator that automatically marks key session opens, closes, and specific times
of financial markets on your chart. This tool eliminates the need to manually track
critical trading hours, allowing you to easily analyze price action in relation to
these important timeframes.
Key Features
This indicator comes with a set of powerful features that provide the flexibility
and visual clarity traders need:
Multi-Time Zone Support: The indicator is based on the world’s three largest
financial market centers:
New York (America/New_York)
London (Europe/London)
Tokyo (Asia/Tokyo)
This allows you to accurately set the lines according to the local time of the
market you are trading.
Customizable Time Lines: Each time zone includes multiple predefined lines
(e.g., “NY Midnight,” “London Open,” “Tokyo Open”). Users can:
Enable or disable each line
Set any desired hour and minute
Assign distinct colors for clear visual separation
Pre-Session Function: This standout feature draws a dotted line a few
minutes before a main time you specify (e.g., the market open). This lets you see
the price level immediately before a key event.
Automatic Price Boxes: When the Pre-Session feature is active, the indicator
draws a colored box between the price at the pre-session moment and the price
at the main event. This box highlights the price range between the pre-
session and the main event, effectively visualizing the volatility at the
session open.
Forward-Extending Lines: All lines extend forward from the moment they are
drawn until the next day. This helps you track how these levels act as support or
resistance throughout the trading session.
Who Is It For?
Session-Focused Traders: Ideal for those tracking volatility during
London, New York, or Asian session opens.
Day Traders: Perfect for marking key economic data releases or daily
open/close levels.
Technical Analysts: A powerful tool for visually analyzing how opening
prices influence price behavior throughout the day.
KANNADI MOHANRAJA 2All time frame candle colour green
From day chart, 2h, 1h, 30m, 15m, 5m, 3m charts
Entry
3m (MACD crossover, MACD histogram bar green or above the baseline, Awesome oscilltor above the base line, supertrnd (10, 3) (7,2) up )
Exit
All the above said reverses
