Machine Learning : Neural Network Prediction -EasyNeuro-Machine Learning: Neural Network Prediction
— An indicator that learns and predicts price movements using a neural network —
Overview
The indicator “Machine Learning: Neural Network Prediction” uses price data from the chart and applies a three-layer Feedforward Neural Network (FNN) to estimate future price movements.
Key Features
Normally, training and inference with neural networks require advanced programming languages that support machine learning frameworks (such as TensorFlow or PyTorch) as well as high-performance hardware with GPUs. However, this indicator independently implements the neural network mechanism within TradingView’s Pine Script environment, enabling real-time training and prediction directly on the chart.
Since Pine Script does not support matrix operations, the backpropagation algorithm—necessary for neural network training—has been implemented entirely through scalar operations. This unique approach makes the creation of such a groundbreaking indicator possible.
Significance of Neural Networks
Neural networks are a core machine learning method, forming the foundation of today’s widely used generative AI systems, such as OpenAI’s GPT and Google’s Gemini. The feedforward neural network adopted in this indicator is the most classical architecture among neural networks. One key advantage of neural networks is their ability to perform nonlinear predictions.
All conventional indicators—such as moving averages and oscillators like RSI—are essentially linear predictors. Linear prediction inherently lags behind past price fluctuations. In contrast, nonlinear prediction makes it theoretically possible to dynamically anticipate future price movements based on past patterns. This offers a significant benefit for using neural networks as prediction tools among the multitude of available indicators.
Moreover, neural networks excel at pattern recognition. Since technical analysis is largely based on recognizing market patterns, this makes neural networks a highly compatible approach.
Structure of the Indicator
This indicator is based on a three-layer feedforward neural network (FNN). Every time a new candlestick forms, the model samples random past data and performs online learning using stochastic gradient descent (SGD).
SGD is known as a more versatile learning method compared to standard gradient descent, particularly effective for uncertain datasets like financial market price data. Considering Pine Script’s computational constraints, SGD is a practical choice since it can learn effectively from small amounts of data. Because online learning is performed with each new candlestick, the indicator becomes a little “smarter” over time.
Adjustable Parameters
Learning Rate
Specifies how much the network’s parameters are updated per training step. Values between 0.0001 and 0.001 are recommended. Too high causes divergence and unstable predictions, while too low prevents sufficient learning.
Iterations per Online Learning Step
Specifies how many training iterations occur with each new candlestick. More iterations improve accuracy but may cause timeouts if excessive.
Seed
Random seed for initializing parameters. Changing the seed may alter performance.
Architecture Settings
Number of nodes in input and hidden layers:
Increasing input layer nodes allows predictions based on longer historical periods. Increasing hidden layer nodes increases the network’s interpretive capacity, enabling more flexible nonlinear predictions. However, more nodes increase computational cost exponentially, risking timeouts and overfitting.
Hidden layer activation function (ReLU / Sigmoid / Tanh):
Sigmoid:
Classical function, outputs between 0–1, approximates a normal distribution.
Tanh:
Similar to Sigmoid but outputs between -1 and 1, centered around 0, often more accurate.
ReLU:
Simple function (outputs input if ≥ 0, else 0), efficient and widely effective.
Input Features (selectable and combinable)
RoC (Rate of Change):
Measures relative price change over a period. Useful for predicting movement direction.
RSI (Relative Strength Index):
Oscillator showing how much price has risen/fallen within a period. Widely used to anticipate direction and momentum.
Stdev (Standard Deviation, volatility):
Measures price variability. Useful for volatility prediction, though not directional.
Optionally, input data can be smoothed to stabilize predictions.
Other Parameters
Data Sampling Window:
Period from which random samples are drawn for SGD.
Prediction Smoothing Period:
Smooths predictions to reduce spikes, especially when RoC is used.
Prediction MA Period:
Moving average applied to smoothed predictions.
Visualization Features
The internal state of the neural network is displayed in a table at the upper-right of the chart:
Network architecture:
Displays the structure of input, hidden, and output layers.
Node activations:
Shows how input, hidden, and output node values dynamically change with market conditions.
This design allows traders to intuitively understand the inner workings of the neural network, which is often treated as a black box.
Glossary of Terms
Feature:
Input variables fed to the model (RoC/RSI/Stdev).
Node/Unit:
Smallest computational element in a layer.
Activation Function:
Nonlinear function applied to node outputs (ReLU/Sigmoid/Tanh).
MSE (Mean Squared Error):
Loss function using average squared errors.
Gradient Descent (GD/SGD):
Optimization method that gradually adjusts weights in the direction that reduces loss.
Online Learning:
Training method where the model updates sequentially with each new data point.
Индикаторы и стратегии
Smart Money Price Action ProSmart Money Price Action Pro - Smart Money and Price Action Dynamic Toolkit
The Smart Money Price Action Pro is designed to bring together multiple layers of market analysis into a single, cohesive framework, combining trend identification and consolidation detection in an actionable format. While individual indicators can provide useful insights, they often work in isolation. This toolkit integrates market flow detection, range analytics, and adaptive visualization into one system, allowing traders to see the bigger picture without piecing together multiple disconnected tools.
Building on principles from institutional trading behaviors, the toolkit gives traders a clearer picture of where “smart money” may be entering or exiting the market. Its design emphasizes confluence: signals from multiple independent modules overlap to create higher conviction setups, offering a structured edge when planning entries, exits, and risk levels.
At its core, the toolkit addresses the duality of market conditions: trending versus ranging. By offering a combination of trend-following signals and contrarian insights, it helps traders operate with a deeper understanding of market structure. While it provides actionable signals and visual guidance, it is intended as an assistive system, helping traders make more informed decisions rather than serving as a single source of truth.
Key Modules
1. Smart Money Signal Module
The Smart Money Signal Module identifies potential institutional activity by analyzing price swings and momentum shifts. Using configurable swing detection, it highlights potential reversal or continuation zones, expressed as adaptive zones around key market levels.
Signals are augmented with trend-colored candle overlays, offering immediate guidance on market bias. Bullish and bearish zones are clearly marked, while continuation and reversal markers help distinguish between trend shifts and market noise.
At its core, the engine applies swing detection combined with a sensitivity filter to track directional momentum across recent bars. This allows it to pinpoint bullish pivots (where downside momentum fades and strength returns) and bearish pivots (where upside momentum collapses). Once a pivot is confirmed, the system draws flow lines that map the breakout and classify it as either continuation or reversal, depending on broader market bias.
Momentum zones are then plotted to show areas where buyers stepped in with strength or sellers forced price lower. These levels extend forward dynamically, shifting in real time as new data forms. Zones change color the moment they break, visually confirming whether market structure has held or failed. Gradient shading highlights periods of extreme pressure, giving traders a clear visual of when momentum surges into overbought or oversold territory.
Instead of simply showing trend direction, this module also maps accumulation and distribution zones tied to institutional flows. When combined with the Range Module, these zones become more meaningful — for example, when institutional accumulation aligns with a breakout from consolidation.
Practical Use: Traders can use these signals to align trades with institutional flows. For example, entering a long position near a bullish accumulation zone or managing risk when bearish distribution areas form. By combining these insights with higher timeframe analysis, traders can filter out false signals and improve decision-making.
2. Range Detection Module
The Range Detection engine continuously monitors price action to flag when markets transition into consolidation phases. Ranges are defined not just by flat price action, but by a measurable contraction in volatility, repeated touches of boundary levels, and the clustering of traded volume around a central equilibrium point.
Once a valid range is identified, the system assigns a compression strength score (0–100). This score reflects how cleanly defined and structurally sound the consolidation is—higher scores indicate tighter boundaries and stronger evidence of accumulation or distribution.
Breakout tendencies are modeled dynamically. The system updates a forward-looking bias by incorporating:
Boundary time distribution – how often price presses against upper vs. lower edges
Historical breakout patterns – probability benchmarks derived from structurally similar ranges
Volume skew – whether traded volume leans toward buyers or sellers inside the range
Momentum alignment – auxiliary filters such as slope-based oscillators that indicate when energy is building for a directional move
The result is a live breakout forecast that evolves bar by bar as the range matures. Each active range carries a visual strength meter plotted above the consolidation zone, quantifying both compression and breakout potential in real time.
The module also supports range memory, preserving completed consolidations even after a breakout. This allows traders to review the prior structure for post-analysis or to track whether price respects the boundaries of the old range as support or resistance going forward.
Practical Use : Traders can use these ranges to anticipate breakout direction or step aside when conditions are unclear. A tight consolidation near a bullish zone, for instance, often signals a potential long opportunity, while overlapping bearish flows warn of false breakouts.
Integrated Workflow
The strength of the toolkit lies in its synergy. Each module is effective on its own, but the real advantage comes when their signals align.
A typical workflow may include:
Assessing the market trend using the Smart Money Signal Module and its trend-colored overlays
Identifying consolidation and breakout zones with the Range Detection Module
Watching for confluences: institutional accumulation aligning with range compression, or dashboard bias matching local setups
Executing trades with structured confidence, using these layered confirmations rather than relying on a single trigger
This integrated workflow streamlines decision-making and avoids the conflicting signals that can occur when combining unrelated indicators.
Additional Features
Adaptive Visualization : Dynamic zones and trend overlays adjust to volatility, keeping charts clear and focused
Analytics Dashboard : A compact summary panel shows active zones, bullish vs bearish flow counts, and current bias, giving context at a glance
Instead of simply adding more signals, the dashboard provides a meta-layer of analysis — context, bias, and flow strength — helping traders manage risk and stay aligned with broader market conditions.
Use Cases
Trend Confluence : Entering trades in line with prevailing smart money flows while filtering out counter-trend setups
Breakout Trading : Using the Range Detection Module to anticipate breakout zones and confirming direction with institutional flow signals
Contrarian Reversal Trades : Targeting accumulation/distribution zones where both modules indicate potential reversals
Each use case demonstrates how layered confluence creates clarity and conviction, making the toolkit a strong complement to other forms of technical analysis.
Conclusion
The Smart Money Signals Toolkit simplifies complex market analysis into actionable, visually intuitive insights. While standalone indicators provide value, this toolkit goes further by combining smart money flows, range detection, adaptive zones, and dashboard analytics into one cohesive system.
It doesn’t just generate buy/sell markers — it shows why a setup matters, where it is occurring, and how it aligns with broader conditions. This allows traders to operate with greater clarity, structure, and discipline.
Risk Disclaimer : This toolkit and its features are for educational and informational purposes only. Past performance does not guarantee future results. All suggested use cases are theoretical and should be applied with proper risk management.
Seasonality by QDEEDSeasonality Indicator with the period 14y.
Years period can be changed.
Indicator projects 180 Bars into the future. If error occurs, reduce to 90. Especially on the Weekly TF.
Custom RSI Divergence OscillatorStill work in progress, but wanted the RSI indicator to look nicer and to be easier and more fun to use.
Event Contract Signal Predictor [10-min Chart]Description:
This script is designed for high-probability event contract trading on 10-minute charts. It combines proprietary LSMA wave trend analysis with custom high-pass filtering and dynamic volume-based order book detection to generate precise long and short entry signals.
Key Features:
• LSMA Wave Trend: Captures short-term momentum with a custom linear regression over smoothed RSI values.
• High-Pass Filter & Peak Detection: Reduces noise and identifies extreme price movements for precise timing.
• Dynamic Order Book Ratio: Monitors buy/sell volume imbalance in real-time to confirm trade validity.
• Signal Confluence: Long or short signals appear only when multiple conditions align (trend, momentum, volume), reducing false triggers.
• Immediate Signal Display: Signals appear on the first candle after condition confirmation; no need to wait for candle close.
• Adjustable Parameters: Users can customize resonance thresholds, smoothing periods, and trigger sensitivity for different markets.
How to Use:
1. Apply the script to a 10-minute chart.
2. Observe green circles (long) and red circles (short) marking potential entries.
3. Combine with your risk management strategy for optimal results.
Note:
This script is closed-source to protect proprietary logic. While the exact calculations are not revealed, this description provides enough context for traders to understand how signals are generated and applied.
DubleB_basic.verTitle:
Final Combo: Bollinger Bands + 5 SMAs + Cross Signals + Dual Pierce + Hammer Alerts
Description:
This indicator combines multiple technical tools into one comprehensive package:
Bollinger Bands:
• BB (Length 4, StdDev 4, source: Open, no midline)
• BB (Length 20, StdDev 2, source: Close, with SMA midline)
Moving Averages (5 lines):
• SMA 5, 20, 60, 120, 240
• Each line has customizable color, style, and visibility toggle
Cross Signals:
• 5/20, 60/120, 60/240, 120/240 crossovers
• Plot markers with customizable style and colors
• Alerts triggered instantly when the cross forms
Dual Bollinger Pierce:
• Signals when a candle pierces both the 4,4 and 20,2 Bollinger Bands simultaneously
• Alerts notify as “Double BB” event
Candlestick Patterns:
• Hammer and Inverted Hammer detection (with relaxed conditions)
• Signals only confirmed at bar close
• Alerts notify as “Hammer detected” or “Inverted Hammer detected”
Alerts:
• All signals (crosses, double BB pierce, hammers) come with built-in alertcondition()
• Alert messages include symbol name and timeframe automatically
How to Use:
Add the indicator to your chart
Configure moving averages, colors, and marker styles as needed
Set alerts directly from the chart using “Add Alert” → select the conditions you want
Ideal for traders who need combined volatility, trend, and candlestick reversal signals in one tool
Chaikin Money Flow w/ FillA regular CMF indicator, just with a green/red filling when above/below the zero line.
HTF & LTF Checklist3 — by WAVE (claude)HTF & LTF Checklist
-Transparency option
-Coloring option
-Remove / Add Confulences
ESTP MeterAuto Entry/SL/TP + Meter (no dashboard / no MA50 plot / no fixed levels)
Idea
The indicator builds Entry / SL / TP1–TP3 zones and highlights bars when the odds of trend continuation are high. Under the hood it runs a multi-factor Meter with HTF filtering, volume, volatility, and breakout context. It does not draw a dashboard, MA50 line, or fixed levels — only the working zones and setup highlights.
How it works
Signal LONG/SHORT comes from a combo of:
RSI(14), MACD (line/signal/hist), and trend vs SMA50 (used internally only, not plotted).
HTF filter (tfHTF): direction alignment on the higher timeframe via EMA50, RSI, MACD-hist.
Breakout factor: a brLen lookback high/low break in the trend direction boosts the score.
Meter/Score (0–100): weighted sum of RVOL, ATR%, TREND, ADX, BREAK, with a chop penalty when EMA20–EMA50 gap is small.
Bar highlight: when Score ≥ 70 and there’s a breakout in the aligned trend direction.
Zones:
On signal change (bar close) it pins Entry at the close.
SL: at the most recent confirmed pivot (5×5). If no pivot yet, a fallback SL = ±2% from Entry.
TP1/TP2/TP3: from wave = |Entry − SL| using your Fib multipliers.
Zones are drawn 20 bars forward with labels for Entry/SL/TP.
Key Inputs
TP1/TP2/TP3 Fib: 0.618 / 1.0 / 1.618 by default.
HTF (tfHTF): higher-timeframe filter (default 60m).
brLen: breakout lookback (suggest 20–50).
rvolMin / atrNorm: normalization floors for relative volume and ATR%.
emaBandMin: minimum EMA20–EMA50 gap; below this, score is penalized.
showBarHL: toggle bar highlighting.
Note: adxMin is reserved for future use (not enforced as a hard filter in this version).
Practical use
Timeframes: best from M15 to H4. On M1–M5, raise brLen and rvolMin to fight noise.
Markets: liquid futures/crypto/FX. For thin symbols, reduce RVOL impact.
Exits: scale out across TP1/TP2/TP3; after TP1, move to break-even.
Context filter: trade only when HTF & LTF align (built into the logic).
Risk: position size from SL distance; keep risk ≤ 1–2% per trade.
Caveats (repainting / behavior)
Pivot-based SL confirms after 5 bars — by design it’s delayed. Until then, a ±2% safety SL is used.
Zones/labels are placed on bar close when the signal flips — this reduces flicker and intrabar artifacts.
HTF data uses request.security — prefer closed bars to avoid intrabar higher-TF whipsaws.
This is an indicator, not a strategy; no guarantees. Forward-test and tune per market/TF.
Suggested presets
Trend/Swing (H1–H4): brLen=30–50, rvolMin=1.2–1.5, atrNorm=0.02–0.03, emaBandMin=0.002–0.004.
Intraday (M15–M30): brLen=20–30, rvolMin=1.1–1.3, atrNorm=0.03–0.05, emaBandMin=0.0015–0.003.
Futty (Futures Lot Calculator)Futty – Futures Risk & Position Sizing Tool
Futty is a risk management and position sizing indicator designed for futures traders.
It automatically detects the dollar value per point for popular CME futures (Equity, Forex, Commodities, Bonds, Metals, etc.) and helps you calculate the optimal lot size based on:
Account size 💰
Risk percentage (%)
Entry, Stop Loss, and Take Profit levels
The indicator plots Entry, SL, and TP zones on the chart, shows risk/reward labels, and provides a clean info table displaying account size, risk %, dollar per point, cash at risk, and recommended lot size.
With Futty, you can trade with clarity, knowing your exact risk exposure and position size before entering any futures trade.
Worstfx Fractal Sessions V1.0Worstfx Sessions V.1.0 (Eastern Timezone)
A simple but powerful session visualizer designed to keep your focus on the right market windows. This indicator is designed to outline major Forex/Futures market sessions.
It is built for traders who want visual clarity on sessions & important market structure zones.
✅ Features:
• Automatic shading of Asia, London, Pre-NY, and NY sessions.
• Centered session titles that adapt to each window.
• 6:00 pm ET day divider (new trading day) with vertical weekday labels.
• Lightweight design — no extra clutter, just structure.
⚙️Customization
• Session colors & opacity: change each session’s look.
• Titles: toggle on/off, adjust color and font size.
• Dividers: toggle day divider on/off, change line color, choose weekday label color/size
🦾 Strengths
• Forces traders to see the market in cycles instead of random candles.
• Makes fractal rhythm (Asia → London → NY) visual.
• Great for building timing & patience (when not to trade matters just as much).
🚧 Limitations:
• Traders still need skill in reading price action inside the sessions — the indicator frames the market, but doesn't "predict."
- Score: 9/10 - Extremely useful, especially for people who get lost in noise. It gives them a map.
Stay tuned for updates!
VWAP MTF Scalping ModuleThe VWAP MTF indicator allows you to visualize anchored VWAP across multiple timeframes, while maintaining a clean and responsive display.
Designed for intraday traders, scalpers, and swing traders, this module offers a clear view of volume-weighted average price zones across key timeframes (1m, 5m, 15m, 1h... customizable).
@lpha Trader — Market Maker Fibonacci ExtensionsAUTO FIB based on extension targets for MM
free to use we dont however handout the script
Valid H/LsOverview
Advanced breakout indicator that identifies valid high and low levels with statistical performance analytics. Features confirmation systems, visual customization, and historical MFE/MAE analysis to help traders identify high-probability setups.
Key Features
📈 Smart Breakout Detection
Automatically identifies confirmed valid high/low breakout levels
Shows potential setups before confirmation with different styling
Filters setups using institutional order flow (I/O) signals
🎯 Visual Display
Dynamic Lines: Full extension or shrinking previous lines for cleaner charts
Color Coding: Customizable colors for highs (red) and lows (green)
Confirmation Candles: Highlights breakout confirmation with custom colors
Background Boxes: Optional zone highlighting around valid levels
📊 MFE/MAE Analytics
Multi-Timeframe: 1-hour and 3-hour performance analysis
Historical Data: Analyzes 10-500 past setups for profit/risk statistics
Profit Targets: MFE lines show typical profit potential
Risk Levels: MAE lines indicate common drawdown zones
How to Use
Green = Bullish: Valid low breakout levels
Red = Bearish: Valid high breakout levels
Solid Lines: Confirmed setups ready for trading
Dashed Lines: Potential setups awaiting confirmation
Use Analytics: MFE for profit targets, MAE for stop loss placement
Key Settings
Show Valid Highs/Lows: Toggle breakout level display
Only Show with I/O Prints: Filter for institutional signals only
Line Display Mode: Choose full extension or shrinking lines
Show MFE/MAE Analytics: Enable statistical overlays
Analytics Lookback: Set number of historical setups to analyze (10-500)
Timeframe Options: Toggle 1-hour and 3-hour analytics
Best Practices
Wait for solid line confirmation before entries
Use MFE analytics for realistic profit targets
Use MAE analytics for appropriate stop losses
Combine multiple timeframe analytics for better context
Always apply proper risk management
Technical Notes
Works on all timeframes and markets
No repainting once confirmed
Analytics update dynamically with new data
Optimized for breakout trading strategies
Engulfing - Bullish & Bearish(vu)Got it. I merged your two indicators into one, keeping the same structure/variables and alerts—only strengthening the rule so that:
Bullish: current candle closes ≥ previous High (no need for open ≤ previous Low).
Bearish: current candle closes ≤ previous Low.
Everything else (trend filter, long/small body checks, labels, background, alerts) follows your originals.
Weekly Period Separator [Adjustable History]Features:
Adjustable History: Shows weekly separators for a configurable number of weeks back (1-100 weeks)
Customizable Appearance:
Choose line color, width, and style (solid, dotted, dashed)
Defaults to showing 10 weeks of historical data
Accurate Week Detection: Properly handles week boundaries regardless of timezone
Clean Implementation: Uses lines that extend from bottom to top of chart
TLThe Trade Lean Indicator is a custom-built market tool designed for traders who want a clean, professional, and actionable view of price action without unnecessary noise. It combines trend tracking, liquidity mapping, and momentum signals into a single framework that adapts across multiple timeframes.
Unlike generic indicators, Trade Lean focuses on clarity over clutter. It highlights the key zones that truly matter: supply and demand levels, liquidity pockets, and directional momentum shifts. Whether you’re day trading, swing trading, or just scanning charts for setups, the indicator helps you quickly identify:
Trend bias (bullish, bearish, or neutral)
Liquidity zones where market reactions are most likely
Momentum impulses vs corrective moves
Breakout and recovery points to confirm direction
This makes it easier to lean into high-probability setups and avoid overtrading.
Intraday Auto Support/Resistance LevelsIntraday Auto Support / Resistance Levels
Welcome to a powerful, automated tool designed for intraday traders. This indicator dynamically identifies and plots key Support and Resistance (S/R) levels directly onto your chart at the start of each new trading session. By leveraging historical pivot points, it eliminates the guesswork and manual drawing, providing you with clear, actionable price levels to enhance your trading strategy. Focus on your execution while the indicator handles the analysis.
________________________________________
How It Works
The indicator operates through a sophisticated, multi-step process:
Pivot Identification: Using Tradingview’s built- in ta.pivothigh() and ta.pivotlow() functions, the script scans a user-defined number of bars back (the "Swing Level") to identify significant price swing highs and lows.
Data Collection: All identified pivot points are collected into a central array, creating a pool of potential S/R levels.
Session Start: At the opening of each new trading day (determined by the daily timestamp), the indicator processes this pool of prices.
Filtering & Sorting: The pivot points are split into two groups: those above the day's open price (potential Resistance) and those below (potential Support). A smart filtering algorithm then selects the most relevant levels based on your "Min Distance" setting, ensuring levels are not too close to each other and are statistically significant.
Dynamic Plotting: The strongest Support (S1, S2, S3...) and Resistance (R1, R2, R3...) levels are drawn as dotted lines extending throughout the trading session.
Adaptive Management: The script intelligently manages the lines. If price convincingly breaks through a key level (e.g., breaking above R1), the indicator may plot the next higher level (R2, R3) while removing a less relevant level on the opposite side of the market, keeping the chart clean and focused on the most pertinent zones.
________________________________________
Key Features & Benefits
• Saves Time: Get professional-level analysis instantly, eliminating the need for manual
line drawing.
• Removes Emotion: All levels are determined objectively by the algorithm, not by
subjective trader bias.
• Enhances Strategy: Provides clear visual cues for potential entry, exit, stop-loss, and
take-profit points.
• Fully Customizable: Tailor the indicator's behavior to match your specific trading style and
instrument volatility.
• Clean Visuals: Plots clear, labeled lines with customizable colors and width for an
uncluttered chart.
• Data Window Output: Displays the exact price value for each level in the Data Window,
enabling precise planning and alert setting.
________________________________________
Input Settings: Fine-Tune Your Levels
The indicator offers a comprehensive set of options for fine-tuning its behavior.
• Adjust Distance Between Lines (%): Controls the minimum percentage distance required
between consecutive S/R levels. A lower value plots more lines, while a higher value plots
fewer, more significant levels.
• Adjust Swing Level: This is the core sensitivity setting. A lower value finds more frequent,
minor pivots, while a higher value identifies major, more significant swings.
• Set Line Width: Adjust the visual thickness of the Support/Resistance lines.
• Show Label Side: Choose to place the level labels (e.g., "R1", "S2") on the "Left" or "Right"
side of the chart.
• Set Up Line Color: Customize the color for all Resistance (R) lines.
• Set Down Line Color: Customize the color for all Support (S) lines.
________________________________________
Limitations
• Repainting: While historical levels are fixed, the most recent pivots can change until a
new swing point is confirmed. This can cause the most recent plotted level to "repaint"
slightly.
• Timeframe Dependency: This indicator is optimized for intraday timeframes. Using it on
timeframes longer than 1D may not yield the intended results as the daily session break
logic is a core part of its function.
• No Predictive Power: The algorithm is based on past price action. It does not account for
future fundamentals, news events, or market-moving announcements.
kings sessions and openEnhanced Liquidity, Sessions & Opens Indicator
📊 What it does:
A comprehensive trading indicator that combines three powerful features to help identify key market levels and timing.
⚡ Core Features:
🔥 Liquidity Sweeps (Default: ON)
Automatically detects pivot highs and lows
Draws horizontal lines at these levels
Removes lines when price "sweeps" the liquidity (breaks through)
Customizable colors, line styles, and maximum number of lines
🌍 Market Sessions (Default: ON)
Highlights major trading sessions: Asia, London, NY AM, NY PM
Shows session high/low levels with colored lines
Customizable session times and colors
Clean session labels without clutter
📈 Key Open Levels (Default: OFF)
Marks important market open times (8:30, 9:30, 10:00, etc.)
Shows horizontal lines at open prices
Customizable labels and lookback period
Optional feature - enable in settings if needed
🎯 Perfect for:
Scalpers looking for liquidity grabs
Day traders tracking session boundaries
Anyone wanting cleaner charts with key levels
Multi-timeframe analysis
Smart Volume [Volume Hub]Smart Volume is a custom indicator designed to highlight meaningful changes in market activity by measuring how current volume compares to historical averages. Instead of looking at raw volume alone, it calculates how many standard deviations above or below the mean a bar’s volume is. This makes it possible to identify unusual activity (accumulation, distribution, breakouts, or fakeouts) that might not be visible just by looking at candle size or price action.
The script classifies each bar’s volume into zones:
🔴 Extra High: 4× or more standard deviations above average
🟠 High: 2.5× above average
🟡 Medium: 1× above average
🔵 Normal: around average
🟢 Low: below average
Each classification has its own color, which is applied directly to the volume histogram. This provides a quick “heatmap” effect so traders can instantly see when markets are entering phases of unusually high or unusually low participation.
🔑 How It Works
The script computes a moving average of volume over the last 610 bars.
It calculates the standard deviation of volume over the same lookback.
For each bar, it measures how far that bar’s volume is from the average, expressed in multiples of standard deviation.
Depending on the zone it falls into (low, normal, medium, high, or extra high), the bar is colored accordingly.
Background heatmap zones and threshold lines can optionally be displayed to help visualize where each threshold lies.
This approach goes beyond raw volume numbers by showing relative extremes. For example, a 50K-volume bar on one market might mean nothing, but if it’s 4 standard deviations higher than usual, it’s an “extra high” signal of market participation.
📌 How to Use It
Look for clusters of extra-high volume bars to spot institutional activity or breakout confirmation.
Use low-volume areas to identify possible consolidations, false breakouts, or lack of conviction.
Combine with your trend or price-action tools: e.g., if price breaks resistance on extra high volume, the move is more likely valid.
Works across all markets (stocks, forex, crypto, futures) and timeframes.
⚠️ Disclaimer
This script does not generate buy/sell signals. It is a volume analysis tool to help identify areas of high or low activity. Always combine with proper risk management and other forms of analysis.