Time-Price Volume Heatmap with Liquidity SweepsWhat it does
Most volume tools compress everything into a single vertical profile, so you can see at which price volume traded, but not when. This script splits the lookback window into a grid of time columns × price rows and paints each cell by how much volume was actually traded inside it — producing a time-and-price heatmap of where activity concentrated as the market moved.
On top of that map it tracks the resting liquidity pools that price left behind, and flags the exact bar where each pool is taken.
How it is calculated
The heatmap
The lookback window (default 300 bars) is divided into Time Resolution columns (default 16) and Price Resolution rows (default 26), built between the highest high and lowest low of the window.
For every bar, its volume is distributed evenly across all price rows its high-low range covers. A bar spanning 5 rows adds one fifth of its volume to each. This approximates where inside the candle the activity sat, rather than assigning it all to the close.
Each cell is normalised against the busiest cell in the grid and coloured on a 3-stop gradient. Transparency scales with intensity, so cold zones stay faint and hot zones glow. Cells below Min Intensity are not drawn at all — this keeps the chart readable and stays inside the 500-object limit.
Point of Control Rows are summed across all columns; the heaviest row is drawn as the POC line. The panel also shows POC Density — that row's share of total mapped volume. A high number means volume is concentrated on one shelf; a low number means it is spread out.
Liquidity pools Confirmed pivot highs and lows (Pivot Strength, default 8) mark levels where stop orders typically rest. Each is drawn as a dotted line extending right, labelled with its price. When price trades through a level it is re-drawn solid grey and marked SWEPT, and the sweep counter increments. Levels older than Level Max Age are removed automatically.
Volume bursts Volume is converted to a z-score over Volume Window bars. Two dot sizes mark bars above the strong (2σ) and extreme (3.5σ) thresholds — useful for spotting which bar actually did the damage at a level.
Volume Pressure Volume of up-closes minus volume of down-closes across the window, expressed as a percentage of total. A rough directional bias for the mapped period.
How to read it
Hot zones = price spent time and volume there. They tend to act as magnets and as friction; moves through them are usually slower.
Cold gaps = thin areas. Price often travels through them quickly.
A sweep followed by an immediate move back inside the previous range is the classic liquidity-grab pattern. The sweep marker plus an extreme volume dot on the same bar is the strongest version of it.
POC as reference: the panel tells you whether price is above or below the heaviest shelf. Indicator
Natural Visibility Graph [UAlgo]Natural Visibility Graph (NVG) is a structure detection indicator that treats price as a time series network. Each bar is interpreted as a node, and nodes are connected if they can “see” each other without intermediate bars blocking the line of sight. This is based on the Natural Visibility Graph concept introduced in complex network theory, where geometric visibility rules convert a time series into a graph.
In practical trading terms, NVG measures how structurally important a bar is by counting how many past bars remain visible from it. Bars with high visibility act like pivots that dominate their local environment because they are not easily obstructed by surrounding price action. The script computes this visibility for highs and lows separately, then flags exceptional nodes as hubs using a dynamic, volatility aware thresholding process.
The output is a chart overlay that highlights structural peaks and valleys with neon hub markers, draws a horizon style connection to the furthest visible bar, and optionally provides alerts when new hubs appear. It also colors bars according to hub status so structural events stand out instantly.
🔹 Features
1) Natural Visibility Graph Degree for Highs and Lows
The indicator calculates an in degree style connectivity score for each bar. Degree represents how many past bars are visible from the current bar under the NVG rule. Highs and lows are handled independently:
High graph measures visibility between swing peaks
Low graph measures visibility between swing valleys using an inverted obstruction rule
This separation helps detect both resistance like peaks and support like valleys without blending them into a single metric.
2) Lookback Controlled Structural Sensitivity
Visibility is computed only within a user selected lookback window. Larger values build stronger structural context and produce more selective hubs, but increase computation. Smaller values react faster but focus on local structure.
Visibility Lookback directly controls how far the algorithm searches for visible connections.
3) Dynamic Hub Detection with Adaptive Max Degree
Instead of using a fixed degree threshold, the script maintains a rolling maximum degree for highs and lows and applies a percentile style threshold. A slow decay mechanism reduces the max gradually over time so the reference level adapts when market structure changes.
This keeps hub detection stable across different regimes and helps avoid permanently locking into an old maximum degree that may no longer be reachable.
4) Hub Threshold Percentile Control
Hub Threshold defines how strict hub detection is. It is applied as a fraction of the current rolling maximum degree:
High hub when degreeH is greater than or equal to maxDegH times threshold
Low hub when degreeL is greater than or equal to maxDegL times threshold
Higher threshold values mark only the most dominant nodes. Lower values mark more frequent hubs.
5) Neon Web Visual Design
The script uses a neon palette to make structural events highly visible:
High hubs are marked with a cyan diamond above price
Low hubs are marked with a pink diamond below price
A dotted horizon beam connects the hub to its furthest visible past node, helping you interpret how far the hub’s influence extends in the visibility sense.
6) Bar Coloring for Instant Structural Context
Bars are colored by hub status:
Cyan for high hubs
Pink for low hubs
Muted gray for non hub bars
This provides a fast scan view of where the market is producing dominant structural events.
7) Alerts for Structural Peaks and Valleys
Alert conditions are provided for both hub types:
High Visibility Structural Peak Detected
High Visibility Structural Valley Detected
These can be used for structural monitoring, swing validation, or confluence with other tools.
🔹 Calculations
1) Natural Visibility Rule for Highs
For each past bar i within the lookback, the script checks if the straight line from the current high to the past high is unobstructed by intermediate highs. If no intermediate high reaches or exceeds the projected height on that line, the past bar is visible and the degree increases.
Core idea:
Current bar at index 0
Past bar at index i
Intermediate bars at index k where 1 is the nearest past bar and i minus 1 is just before the past bar
Slope and projection:
float slope = (high - high ) / float(i)
for k = 1 to i - 1
float y_projected = high - (slope * k)
if high >= y_projected
isVisible := false
break
If isVisible remains true, degreeH increments and furthestVisIdxH is updated to i, so the script remembers the furthest visible connection for drawing.
2) Natural Visibility Rule for Lows
Lows use the inverted valley logic. A past low is visible from the current low if intermediate lows do not fall at or below the projected line, because deeper lows block visibility in a valley sense.
float slope = (low - low ) / float(i)
for k = 1 to i - 1
float y_projected = low - (slope * k)
if low <= y_projected
isVisible := false
break
If visible, degreeL increments and furthestVisIdxL records the furthest visible low node.
3) Rolling Maximum Degree with Slow Decay
The indicator maintains rolling maximum degree values for highs and lows. Periodically it applies a slow decay so that the maximum can adapt downwards over time if structural connectivity decreases:
var int maxDegH = 5
var int maxDegL = 5
if bar_index % int(lookback/2) == 0
maxDegH := int(math.max(5, maxDegH * 0.95))
maxDegL := int(math.max(5, maxDegL * 0.95))
maxDegH := math.max(maxDegH, degreeH)
maxDegL := math.max(maxDegL, degreeL)
Interpretation:
The max degree never falls below 5
Decay runs every lookback divided by two bars
New degrees update the max immediately if a stronger hub appears
4) Hub Classification
A bar becomes a hub if its degree reaches a fraction of the current max degree:
bool isHubH = degreeH >= maxDegH * threshold
bool isHubL = degreeL >= maxDegL * threshold
threshold behaves like a percentile control over the observed maximum connectivity.
5) Hub Markers and Horizon Beam
When a hub is detected, the script plots a diamond label and draws a dotted line to the furthest visible bar for that hub type:
High hub:
label.new(bar_index, high, "◈", textcolor=colNeonCyan, style=label.style_label_down)
line.new(bar_index, high, bar_index - furthestVisIdxH, high , style=line.style_dotted)
Low hub:
label.new(bar_index, low, "◈", textcolor=colNeonPink, style=label.style_label_up)
line.new(bar_index, low, bar_index - furthestVisIdxL, low , style=line.style_dotted)
Interpretation:
The beam represents the furthest confirmed visibility connection and gives a visual sense of the hub’s visibility range.
6) Alert Conditions
The script exposes alert conditions tied to the hub booleans:
alertcondition(isHubH, "NVG High Hub", "High Visibility Structural Peak Detected")
alertcondition(isHubL, "NVG Low Hub", "High Visibility Structural Valley Detected")
Indicator
Indicator
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph
Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter.
Scope and intent
• Markets. Gold and silver futures or spot, other liquid commodities, major indices
• Timeframes. Five minutes to one day. Defaults to 30min for swing pace
• Default demo used in this publication. TVC:GOLD on 30m
• Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias
• Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings
• Testability. Each component has a named input. Entry names L and S are visible in the list of trades
• Portable yardstick. Weekly ATR for stops and R multiples for targets
• Open source. Method and implementation are disclosed for community review
Method overview in plain language
You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope.
Base measures
• Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE
• Return basis. Not required
Components
• Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window
• Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat
• DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens
• Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band
Fusion rule
• All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled
Signal rule
• Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish
• Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish
• Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band
Inputs with guidance
Setup
• Symbol. Default TVC:GOLD (Correlation Asset for internal logic)
• Signal timeframe. Blank follows the chart
• Confirm timeframe. Default 1 day used by the bias block
Directional Convexity Index
• DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier
• DCX rise bars. Typical 3 to 6. Higher demands continuation
• DCX entry threshold. Typical 15 to 35. Higher avoids soft moves
• Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape
• Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence
Adaptive Volatility Envelope
• AVE window. Typical 24 to 48. Higher smooths more
• Midline type. ALMA or HMA or EMA per preference
• TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions
• Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR
• Base envelope mult. Typical 1.4 to 2.2. Width of bands
• Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands
Intermarket Bias
• Use DXY bias. Default ON
• DXY timeframe. Default 1 day
• DXY trend window. Typical 10 to 50
Risk
• Risk percent per trade. Reporting field. Keep live risk near one to two percent
• Weekly ATR. Default 14. Basis for stops
• Stop ATR weekly mult. Typical 1.5 to 3.0
• Take profit R multiple. Typical 1.5 to 3.0
• Trail with AVE band. Optional. OFF by default
Properties visible in this publication
• Initial capital. 20000
• Base currency. USD
• request.security lookahead off everywhere
• Commission. 0.03 percent
• Slippage. 5 ticks
• Default order size method percent of equity with value 3% of the total capital available
• Pyramiding 0
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Shapes can move while a bar forms and settle on close
• Strategies use standard candles for signals and orders only
Honest limitations and failure modes
• Economic releases and thin liquidity can break assumptions behind the expansion logic
• Gap heavy symbols may prefer a longer ATR window
• Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands
• Session time follows the exchange of the chart and can change symbol to symbol
• Symbol sensitivity is expected. Use the gates and length inputs to find stable settings
Open source reuse and credits
• None
Mode
Public open source. Source is visible and free to reuse within PulseWire House Rules
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Strategy
Script_Algo - High Low Range MA Crossover Strategy🎯 Core Concept
This strategy uses modified moving averages crossover, built on maximum and minimum prices, to determine entry and exit points in the market. A key advantage of this strategy is that it avoids most false signals in trendless conditions, which is characteristic of traditional moving average crossover strategies. This makes it possible to improve the risk/reward ratio and, consequently, the strategy's profitability.
📊 How the Strategy Works
Main Mechanism
The strategy builds 4 moving averages:
Two senior MAs (on high and low) with a longer period
Two junior MAs (on high and low) with a shorter period
Buy signal 🟢: when the junior MA of lows crosses above the senior MA of highs
Sell signal 🔴: when the junior MA of highs crosses below the senior MA of lows
As seen on the chart, it was potentially possible to make 9X on the WIFUSDT cryptocurrency pair in just a year and a half. However, be careful—such results may not necessarily be repeated in the future.
Special Feature
Position closing priority ❗: if an opposite signal arrives while a position is open, the strategy first closes the current position and only then opens a new one
⚙️ Indicator Settings
Available Moving Average Types
EMA - Exponential MA
SMA - Simple MA
SSMA - Smoothed MA
WMA - Weighted MA
VWMA - Volume Weighted MA
RMA - Adaptive MA
DEMA - Double EMA
TEMA - Triple EMA
Adjustable Parameters
Senior MA Length - period for long-term moving averages
Junior MA Length - period for short-term moving averages
✅ Advantages of the Strategy
🛡️ False Signal Protection - using two pairs of modified MAs reduces the number of false entries
🔄 Configuration Flexibility - ability to choose MA type and calculation periods
⚡ Automatic Switching - the strategy automatically closes the current position when receiving an opposite signal
📈 Visual Clarity - all MAs are displayed on the chart in different colors
⚠️ Disadvantages and Risks
📉 Signal Lag - like all MA-based strategies, it may provide delayed signals during sharp movements
🔁 Frequent Switching - in sideways markets, it may lead to multiple consecutive position openings/closings
📊 Requires Optimization - optimal parameters need to be selected for different instruments and timeframes
💡 Usage Recommendations
Backtest - test the strategy's performance on historical data
Optimize Parameters - select MA periods suitable for the specific trading instrument
Use Filters - add additional filters to confirm signals
Manage Risks - always use stop-loss and take-profit orders.
You can safely connect to the exchange via webhook and enjoy trading.
Good luck and profits to everyone!! Strategy
Mutanabby_AI | Ultimate Algo | Remastered+Overview
The Mutanabby_AI Ultimate Algo Remastered+ represents a sophisticated trend-following system that combines Supertrend analysis with multiple moving average confirmations. This comprehensive indicator is designed specifically for identifying high-probability trend continuation and reversal opportunities across various market conditions.
Core Algorithm Components
**Supertrend Foundation**: The primary signal generation relies on a customizable Supertrend indicator with adjustable sensitivity (1-20 range). This adaptive trend-following tool uses Average True Range calculations to establish dynamic support and resistance levels that respond to market volatility.
**SMA Confirmation Matrix**: Multiple Simple Moving Averages (SMA 4, 5, 9, 13) provide layered confirmation for signal strength. The algorithm distinguishes between regular signals and "Strong" signals based on SMA 4 vs SMA 5 relationship, offering traders different conviction levels for position sizing.
**Trend Ribbon Visualization**: SMA 21 and SMA 34 create a visual trend ribbon that changes color based on their relationship. Green ribbon indicates bullish momentum while red signals bearish conditions, providing immediate visual trend context.
**RSI-Based Candle Coloring**: Advanced 61-tier RSI system colors candles with gradient precision from deep red (RSI ≤20) through purple transitions to bright green (RSI ≥79). This visual enhancement helps traders instantly assess momentum strength and overbought/oversold conditions.
Signal Generation Logic
**Buy Signal Criteria**:
- Price crosses above Supertrend line
- Close price must be above SMA 9 (trend confirmation)
- Signal strength determined by SMA 4 vs SMA 5 relationship
- "Strong Buy" when SMA 4 ≥ SMA 5
- Regular "Buy" when SMA 4 < SMA 5
**Sell Signal Criteria**:
- Price crosses below Supertrend line
- Close price must be below SMA 9 (trend confirmation)
- Signal strength based on SMA relationship
- "Strong Sell" when SMA 4 ≤ SMA 5
- Regular "Sell" when SMA 4 > SMA 5
Advanced Risk Management System
**Automated TP/SL Calculation**: The indicator automatically calculates stop loss and take profit levels using ATR-based measurements. Risk percentage and ATR length are fully customizable, allowing traders to adapt to different market conditions and personal risk tolerance.
**Multiple Take Profit Targets**:
- 1:1 Risk-Reward ratio for conservative profit taking
- 2:1 Risk-Reward for balanced trade management
- 3:1 Risk-Reward for maximum profit potential
**Visual Risk Display**: All risk management levels appear as both labels and optional trend lines on the chart. Customizable line styles (solid, dashed, dotted) and positioning ensure clear visualization without chart clutter.
**Dynamic Level Updates**: Risk levels automatically recalculate with each new signal, maintaining current market relevance throughout position lifecycles.
Visual Enhancement Features
**Customizable Display Options**: Toggle trend ribbon, TP/SL levels, and risk lines independently. Decimal precision adjustments (1-8 decimal places) accommodate different instrument price formats and personal preferences.
**Professional Label System**: Clean, informative labels show entry points, stop losses, and take profit targets with precise price levels. Labels automatically position themselves for optimal chart readability.
**Color-Coded Momentum**: The gradient RSI candle coloring system provides instant visual feedback on momentum strength, helping traders assess market energy and potential reversal zones.
Implementation Strategy
**Timeframe Optimization**: The algorithm performs effectively across multiple timeframes, with higher timeframes (4H, Daily) providing more reliable signals for swing trading. Lower timeframes work well for day trading with appropriate risk adjustments.
**Sensitivity Adjustment**: Lower sensitivity values (1-5) generate fewer but higher-quality signals, ideal for conservative approaches. Higher sensitivity (15-20) increases signal frequency for active trading styles.
**Risk Management Integration**: Use the automated risk calculations as baseline parameters, adjusting risk percentage based on account size and market conditions. The 1:1, 2:1, 3:1 targets enable systematic profit-taking strategies.
Market Application
**Trend Following Excellence**: Primary strength lies in capturing significant trend movements through the Supertrend foundation with SMA confirmation. The dual-layer approach reduces false signals common in single-indicator systems.
**Momentum Assessment**: RSI-based candle coloring provides immediate momentum context, helping traders assess signal strength and potential continuation probability.
**Range Detection**: The trend ribbon helps identify ranging conditions when SMA 21 and SMA 34 converge, alerting traders to potential breakout opportunities.
Performance Optimization
**Signal Quality**: The requirement for both Supertrend crossover AND SMA 9 confirmation significantly improves signal reliability compared to basic trend-following approaches.
**Visual Clarity**: The comprehensive visual system enables rapid market assessment without complex calculations, ideal for traders managing multiple instruments.
**Adaptability**: Extensive customization options allow fine-tuning for specific markets, trading styles, and risk preferences while maintaining the core algorithm integrity.
## Non-Repainting Design
**Educational Note**: This indicator uses standard PulseWire functions (Supertrend, SMA, RSI) with normal behavior patterns. Real-time updates on current candles are expected and standard across all technical indicators. Historical signals on closed candles remain fixed and unchanged, ensuring reliable backtesting and analysis.
**Signal Confirmation**: Final signals are confirmed only when candles close, following standard technical analysis principles. The algorithm provides clear distinction between developing signals and confirmed entries.
Technical Specifications
**Supertrend Parameters**: Default sensitivity of 4 with ATR length of 11 provides balanced signal generation. Sensitivity range from 1-20 allows adaptation to different market volatilities and trading preferences.
**Moving Average Configuration**: SMA periods of 8, 9, and 13 create multi-layered trend confirmation, while SMA 21 and 34 form the visual trend ribbon for broader market context.
**Risk Management**: ATR-based calculations with customizable risk percentage ensure dynamic adaptation to market volatility while maintaining consistent risk exposure principles.
Recommended Settings
**Conservative Approach**: Sensitivity 4-5, RSI length 14, higher timeframes (4H, Daily) for swing trading with maximum signal reliability.
**Active Trading**: Sensitivity 6-8, RSI length 8-10, intermediate timeframes (1H) for balanced signal frequency and quality.
**Scalping Setup**: Sensitivity 10-15, RSI length 5-8, lower timeframes (15-30min) with enhanced risk management protocols.
## Conclusion
The Mutanabby_AI Ultimate Algo Remastered+ combines proven trend-following principles with modern visual enhancements and comprehensive risk management. The algorithm's strength lies in its multi-layered confirmation approach and automated risk calculations, providing both novice and experienced traders with clear signals and systematic trade management.
Success with this system requires understanding the relationship between signal strength indicators and adapting sensitivity settings to match current market conditions. The comprehensive visual feedback system enables rapid decision-making while the automated risk management ensures consistent trade parameters.
Practice with different sensitivity settings and timeframes to optimize performance for your specific trading style and risk tolerance. The algorithm's systematic approach provides an excellent framework for disciplined trend-following strategies across various market environments. Indicator
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