Signal Hunter Pro - GKDXLSignal Hunter Pro - GKDXL combines four powerful technical indicators with trend strength filtering and volume confirmation to generate reliable BUY/SELL signals. This indicator is perfect for traders who want a systematic approach to market analysis without the noise of conflicting signals.
🔧 Core Features
📈 Multi-Indicator Signal System
Moving Averages: EMA 20, EMA 50, and SMA 200 for trend analysis
Bollinger Bands: Dynamic support/resistance with price momentum detection
RSI: Enhanced RSI logic with smoothing and multi-zone analysis
MACD: Traditional MACD with signal line crossovers and zero-line analysis
🎛️ Advanced Filtering System
ADX Trend Strength Filter: Only signals when trend strength exceeds threshold
Volume Confirmation: Ensures signals occur with adequate volume participation
Multi-Timeframe Logic: Works on any timeframe from 1m to 1D and beyond
🚨 Intelligent Signal Generation
Requires 3 out of 4 indicators to align for signal confirmation
Separate bullish and bearish signal conditions
Real-time signal strength scoring (1/4 to 4/4)
Built-in alert system for automated notifications
⚙️ Customizable Parameters
📊 Technical Settings
Moving Averages: Adjustable EMA and SMA periods
Bollinger Bands: Configurable length and multiplier
RSI: Customizable length, smoothing, and overbought/oversold levels
MACD: Flexible fast, slow, and signal line settings
🎯 Risk Management
Risk Percentage: Set your risk per trade (0.1% to 10%)
Reward Ratio: Configure risk-to-reward ratios (1:1 to 1:5)
ADX Threshold: Control minimum trend strength requirements
🖥️ Display Options
Indicator Visibility: Toggle individual indicators on/off
Information Table: Optional detailed status table (off by default)
Volume Analysis: Real-time volume vs. average comparison
🎨 Visual Elements
📈 Chart Indicators
EMA Lines: Blue (20) and Orange (50) exponential moving averages
SMA 200: Gray long-term trend line
Bollinger Bands: Upper/lower bands with semi-transparent fill
Clean Interface: Minimal visual clutter for clear analysis
📋 Information Table (Optional)
Real-time indicator status with ✓/✗/— symbols
Current signal strength and direction
ADX trend strength measurement
Volume confirmation status
No-signal reasons when conditions aren't met
🔔 Alert System
📢 Three Alert Types
BUY Signal: Triggered when 3+ indicators align bullishly
SELL Signal: Triggered when 3+ indicators align bearishly
General Alert: Any signal detection for broader monitoring
📱 Alert Messages
Clear, actionable alert text
Includes indicator name for easy identification
Compatible with webhook integrations
🎯 How It Works
📊 Signal Logic
Indicator Assessment: Each of the 4 indicators is evaluated as Bullish/Bearish/Neutral
Consensus Building: Counts aligned indicators (minimum 3 required)
Filter Application: Applies trend strength and volume filters
Signal Generation: Generates BUY/SELL when all conditions are met
🔍 Indicator States
Moving Averages: Price position, EMA alignment, and crossovers
Bollinger Bands: Price relative to bands and momentum shifts
RSI: Multi-zone analysis with momentum and crossover detection
MACD: Signal line crossovers and zero-line positioning
🎉 Why Choose Signal Hunter Pro?
✅ Multi-Indicator Confirmation reduces false signals
✅ Trend Strength Filtering improves win rate
✅ Volume Confirmation ensures market participation
✅ Customizable Parameters adapt to any trading style
✅ Clean Visual Design doesn't clutter your charts
✅ Professional Alert System for automated trading
✅ No Repainting - reliable historical signals
✅ Works on All Timeframes from scalping to investing
المؤشرات والاستراتيجيات
Dynamic VWAP -WinCAlgoDynamic VWAP Curve
This indicator applies an adaptive smoothing method to VWAP (Volume Weighted Average Price) to create two dynamic curves:
Fast VWAP (reacts quickly to price changes)
Smoothed VWAP (slower, adaptive baseline)
How to interpret:
When Fast VWAP > Smoothed VWAP, trend bias is bullish.
When Fast VWAP < Smoothed VWAP, trend bias is bearish.
The shaded area between the two lines works like a dynamic support/resistance zone.
📌 Usage ideas:
As a trend filter: take long trades only when Fast > Smoothed.
As a crossover signal: buy/sell when the two lines cross.
As support/resistance: price moving too far from the band can signal mean-reversion opportunities.
Big Mo’s Glaskugel — Macro Drawdown Risk (v1.1.2)What it does / what you see
An at-a-glance drawdown-risk oscillator that blends several macro US signals.
• A smooth, color-blended line (green→orange→red) shows the scaled risk score (0–100).
• Subtle shading marks “re-steepen warning windows” (starts when the yield curve re-steepens after an inversion; ends on normalization/cool-down).
• A compact status table summarizes: overall risk level, Yield Curve (10y–3m), Credit Stress (Baa–10y), Economy (LEI), and Valuation (CAPE).
Data used & why
Yield Curve (10y–3m) — FRED:T10Y3M. Inversions and subsequent re-steepens often precede recessions/equity drawdowns.
Credit Stress — FRED:BAA10Y vs its 1-year average (deviation in bps). Widening credit spreads flag tightening financial conditions.
Economy (LEI) — ECONOMICS:USLEI. 6-month annualized growth below a cutoff highlights macro deterioration.
Valuation (CAPE) — SHILLER_PE_RATIO_MONTH. Elevated valuations can amplify downside risk.
VIX spikes — optional boost that recognizes sudden risk repricings.
Important disclaimer
This is not a reliable or predictive indicator in all regimes. No guarantees or warranties of any kind are provided. It is not financial advice. Signals can be early, late, or wrong.
That said, it leans on well-studied warning factors (yield-curve dynamics, credit spreads, LEI weakness, valuation extremes) that have flagged major market downturns in the past.
Key customization / tweaks
Weights for each component (Yield, Credit, LEI, VIX, CAPE).
Thresholds: yield inversion months, re-steepen lookback, credit-stress bps, LEI cutoff, CAPE level, VIX spike levels.
Re-steepen boost: enable/disable, base points, half-life decay.
Shading behavior: cool-down bars to “unwarn,” max warning duration, only shade when risk ≠ green.
Scaling & smoothing: dynamic rolling max, EMA length, yellow/red thresholds.
Status table: position, and a snapshot mode to view values at a chosen historical time.
Colored Trix with spike detectionColored TRIX with Spike Detection
This indicator combines multiple TRIX oscillators (periods 5, 7, 10, 14) with advanced spike detection capabilities. Key features:
Dynamic Color Coding: TRIX lines change color based on value (positive/negative) and slope direction, providing instant visual feedback on momentum shifts
Multi-Period Analysis: Four different TRIX periods offer comprehensive momentum analysis across various timeframes
Intelligent Spike Detection: Automatically identifies significant TRIX spikes using percentile-based thresholds and distance measurements from recent highs/lows
Visual Markers: Highlights important levels with yellow dots and reference lines showing lowest, median, and average TRIX values during spike periods
Customizable Parameters: Adjustable spike thresholds, distance percentiles, and color schemes to fit your trading style
Alert System: Built-in alerts for positive and negative spike detection
The indicator helps traders identify momentum changes, oversold/overbought conditions, and potential reversal points through sophisticated spike analysis. Perfect for swing trading and trend following strategies.
Range TableThe Range Table indicator calculates and displays the Daily Average True Range (ATR), the current day's True Range (TR), and two customizable ATR percentage values in a clean table format. It provides values in ticks, points, and USD, helping traders set stop-loss buffers based on market volatility.
**Features:**
- Displays the Daily ATR (14-period) and current day's True Range (TR) with its percentage of the Daily ATR.
- Includes two customizable ATR percentages (default: 75% and 10%, with the second disabled by default).
- Shows values in ticks, points, and USD based on the symbol's tick size and point value.
- Customizable table position, background color, text color, and font size.
- Toggle visibility for the table and percentage rows via input settings.
**How to Use:**
1. Add the indicator to your chart.
2. Adjust the table position, colors, and font size in the input settings.
3. Enable or disable the 75% and 10% ATR rows or customize their percentages.
4. Use the displayed values to set stop-loss or take-profit levels based on volatility.
**Ideal For:**
- Day traders and swing traders looking to set volatility-based stop-losses.
- Users analyzing tick, point, and USD-based risk metrics.
**Notes:**
- Ensure your chart is set to a timeframe that aligns with the daily ATR calculations.
- USD values are approximate if `syminfo.pointvalue` is unavailable.
Developed by FlyingSeaHorse.
Volume Profile + VAH, VAL, and POCWhat it is
A clean, on-chart volume profile that approximates your visible range using a configurable Bars Back window. It builds a horizontal histogram of volume by price, splits each price bin into Buy vs Sell volume, draws POC, and computes Value Area High/Low (VAH/VAL). A Stealth Mode toggle switches to a subtle grayscale palette for low-key charts.
Why this instead of the built-in VPVR?
Buy/Sell split per bin: See which prices were defended by buyers vs sellers, not just total volume.
Value Area from POC outward: Classic expansion method until the selected % of total volume (default 70%).
Sleek borders & Stealth Mode: Crisp bin outlines and a one-click professional colorway.
Deterministic & fast: No sessions or anchors needed—set your Bars Back and go.
How it works (under the hood)
Window selection – Pine can’t read your viewport, so we approximate it with Bars Back (user input).
Binning – The window’s price range is divided into N bins.
Volume allocation – For each bar in the window:
Distribute Across Hi–Lo (optional): Spread volume across all bins the bar overlaps, weighted by overlap; or
Single-price mode: Assign all volume to one bin using a representative price (hlc3).
Buy/Sell split (two methods):
Body Proportional (recommended): Split by relative up/down body size (|close−open|).
Up/Down Candle: 100% buy if close ≥ open, else 100% sell.
POC & VA: Point of Control is the bin with max total volume. VAH/VAL expands from POC toward the higher-volume neighbor until the selected % of total volume is included.
Reading the visuals
Horizontal bars (right side): Total volume per price bin.
Left sub-segment = Sell volume
Right sub-segment = Buy volume
POC line: Price level with peak total volume.
VAH / VAL (dashed): Upper and lower bounds of the selected Value Area.
Borders: Each bin has a clean outer outline so the profile looks tight and organized.
Stealth Mode: Grayscale palette that preserves contrast without loud colors.
Key inputs (organized for clarity)
Theme
Stealth Mode: Toggles the grayscale look.
Core
Price Bins: Vertical resolution of the profile.
Lookback (Bars): Approximates your visible range.
Style
Profile Width (bars): How far the histogram extends to the right.
Bin Border Width: Outline thickness.
Markers & Lines
Show POC, Show VAH/VAL, Value Area %, VA line width.
Advanced
Distribute Volume Across Hi–Lo: More accurate, heavier compute.
Buy/Sell Split Method: Body Proportional (realistic) or Up/Down (simple).
Tips & best practices
Start with Body Proportional + Distribute Across ON for intraday accuracy.
If the chart lags, reduce Price Bins or Bars Back, or switch off distribution.
For small windows, fewer bins often looks cleaner (e.g., 30–60).
Stealth Mode plays nicely with both dark and light chart themes.
Limitations & notes
Viewport: Pine can’t access the actual visible bars; Bars Back is a practical stand-in.
Buy/Sell split: This is an approximation from candle bodies, not true bid/ask delta.
Designed for overlay; profile renders to the right of the latest bar.
ICT AI ATR Signals [TradingFinder]🔵 Introduction
In financial markets, two main factors always have the greatest impact on traders’ decisions: the direction of the trend and the level of price volatility. Although there are various tools to analyze each of these factors, very few indicators can combine them in a coordinated and simultaneous way.
The ICT AI ATR indicator has been designed with this purpose in mind, to provide a unified and comprehensive view of the market instead of relying on multiple scattered indicators.
This indicator is built upon two widely used tools: the Moving Average (MA) and the Average True Range (ATR). The combination of these two indicators allows traders to simultaneously track the trend direction and account for market volatility two elements that always play a decisive role in trading decisions.
In the structure of the indicator, the Moving Average acts as the central line and serves as the backbone of the tool. By calculating the average price over a defined period, the Moving Average filters out excess market noise and provides a clearer picture of the overall price movement.
This helps traders focus on the main trend instead of being distracted by minor and temporary fluctuations. The central line is thus the main reference point for identifying the trend direction.
Alongside this, the ATR is responsible for measuring the real volatility of the market. Unlike many tools that only look at closing price changes, the ATR considers the true range of candlestick movements, giving a more accurate view of market dynamics.
In the ICT AI ATR indicator, this feature is used to draw dynamic bands above and below the Moving Average line. These bands shift with changing market conditions and act like dynamic support and resistance levels, areas where strong price reactions often occur.
This combination allows traders not only to see the dominant market trend through the Moving Average but also to understand volatility and the natural price range via the ATR. For this reason, the ICT AI ATR identifies points that are likely to act as reaction or reversal zones, whether during bounces off the bands or breakouts through them.
With this structure, the trader can at a glance :
Identify the overall market direction using the Moving Average.
Observe volatility and the natural range of price movement through ATR.
Recognize key levels where strong reactions or potential reversals are more likely.
As a result, the ICT AI ATR functions as a combined tool that replaces the need to use several separate indicators, enabling traders to analyze trend, volatility, price bands, and even Fibonacci targets within a single unified framework.
🔵 How to Use
The ICT AI ATR indicator is designed to simplify market analysis through two main components: visual display of bands and signals on the chart itself, and a multi-symbol analytical dashboard capable of monitoring over 20 different assets simultaneously across multiple timeframes.
This dashboard feature allows traders to gain a quick overview of overall market conditions without opening multiple charts or constantly switching timeframes. It updates in real-time, showing active Buy (Long) and Sell signals for each symbol.
As such, the combination of direct chart display and dashboard analytics makes the indicator useful both for detailed analysis of a single symbol and for monitoring multiple markets at once.
🟣 How do ICT AI ATR trading signals work?
Sell Signal (Short) : Triggered when the price pushes below the lower band (Low goes outside the lower band) and then closes back above it. This indicates potential weakness in bullish momentum and suggests possible selling pressure or the start of a downward correction. Traders can use this to spot sell setups or manage long positions.
Buy Signal (Long) : Triggered when the price extends above the upper band (High goes outside the upper band) and then closes back below it. This often signals exhaustion in bearish pressure and the return of buying strength, potentially marking the start of a new upward move.
This signaling logic is based on the actual behavior of price relative to the ATR dynamic bands. Unlike static formulas, signals adapt to changing market conditions, making them more accurate and reliable.
The main advantage of the ICT AI ATR indicator is that traders can benefit from real-time analysis directly on the chart by observing price interactions with the bands and signals while also receiving a multi-market overview through the dashboard. This combination is especially valuable for traders who operate across multiple instruments or markets simultaneously.
🔵 Settings
🟣 Logical settings
Moving Average Type : Select the type of moving average for the central line. Options include EMA, SMA, RMA, WMA, or HMA depending on the trading strategy.
Moving Average Period : Defines the length of the moving average. Shorter periods make the central line more responsive to price changes, while longer periods smooth out the line to show the broader trend.
ATR Period : Determines the number of candles considered for volatility calculation. Shorter periods increase sensitivity, while longer periods provide a more stable view of volatility.
ATR Multiplier : Sets the distance between the upper/lower bands and the central moving average line. Higher values widen the bands, while lower values bring them closer to price.
Smooth Period: Used to smooth data and reduce chart noise. Higher values produce smoother, more consistent indicator lines.
Signal Gap : Defines the minimum number of candles required between two consecutive signals. This prevents back-to-back signals from appearing too frequently and ensures only the more reliable ones are shown.
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 10 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
🟣 Alert Settings
Alert : Enables alerts for AAS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The ICT AI ATR indicator, by combining three core elements Moving Average for trend detection, ATR for volatility measurement and dynamic bands, and Fibonacci levels for price targets—provides a multi-layered and intelligent tool for market analysis. In addition to showing accurate bands directly on the chart, it also offers a multi-symbol dashboard that allows traders to monitor signals across different assets and timeframes in real time.
The key advantage of this indicator is that it eliminates the need to use several separate tools by integrating trend, volatility, key levels, and trade signals into one unified framework. For this reason, ICT AI ATR is a reliable and effective choice for both short-term traders seeking quick market moves and long-term traders focused on dynamic support and resistance levels.
Standardized Cumulative Deltas [LuxAlgo]The Standardized Cumulative Deltas tool allows traders to compare the cumulative standardized open-close difference for up to 10 different tickers, allowing them to visualize the general sentiment for all selected tickers.
These results allow the construction of two areas showing the average or extreme bullish and bearish cumulative change for all enabled tickers, providing a summarized view of the overall ticker group sentiment.
🔶 USAGE
This tool is meant to give a full picture of the individuals and/or overall selected tickers, and unlike classical indicators, the displayed series of values is not meant to be directly interpreted over time.
Given the selected lookback period, a majority of observations being above 0 indicate an overall bullish market for the asset.
By default, the auto lookback period feature is enabled, allowing the tool to use all the visible bars for its calculations. Traders can also set the lookback period manually. The above chart uses a fixed lookback period of 500.
Up to 10 tickers can be used. While major cryptocurrencies are set by default, the users can set a specific basket of assets, such as US equities, forex pairs, commodities, etc.
🔹 Densities
The provided areas, here called densities, can be used to get an overall sentiment of the selected tickers. The upper density (bullish) processes positive deltas, while the lower one (bearish) processes negative ones.
Interpretation is subject to the selected "Density Mode".
Average: Densities track the average bullish/bearish cumulative deltas for the selected tickers. For example, a more prominent bullish density would indicate that, on average, cumulative deltas were positive across the tickers.
Envelope: Densities track the extreme values made by bullish/bearish cumulative deltas for the selected tickers. Here, a more prominent density would indicate more volatile bullish/bearish movements, depending on the density.
🔹 Dashboard
The tool features a dashboard with active tickers and their respective colors for traders' convenience.
🔶 DETAILS
🔹 Densities
Densities are obtained by applying a forward-backward exponential moving average on the average, or the highest/lowest cumulative series, depending on the selected Density Mode.
The resulting densities are smoothed by the "Smoothing" parameter located in the Settings panel, with higher values returning smoother envelopes with less variability.
Do note that the smoothing method used here is subject to repainting.
🔶 SETTINGS
Lookback: Select the lookback period and enable/disable the Auto Lookback feature
Tickers: Enable/disable and select up to 10 tickers and their colors
Density Mode: Determine how densities are calculated
🔹 Dashboard
Show Dashboard: Enable/disable the dashboard
Position: Select the dashboard position
Size: Select the dashboard size
🔹 Style
Density: Enable/disable the density areas
Bullish Density: Select the color of the top density area
Bearish Density: Select the color of the bottom density area
Smoothing: Select the smoothing constant for the EMA calculation
Daily HOD / LOD Anchored VWAP (24/7 Markets)mart Daily HOD/LOD Anchored VWAP (Auto Detect + Alerts)
This indicator automatically anchors VWAP at the High of Day (HOD) and Low of Day (LOD) for each session/day.
No more manual anchoring — the script tracks intraday highs and lows in real-time and resets cleanly at the start of each trading day or session.
✨ Features
✅ Auto-anchored AVWAP at daily High and Low
✅ Works for stock markets (with fixed sessions) and crypto markets (24/7)
✅ Clean reset every session/day
✅ Separate AVWAP lines for HOD and LOD
✅ Customizable colors & line widths
✅ Alerts included 🚨 (get notified instantly when a new High/Low AVWAP starts)
📈 Use Cases
Spot true intraday support/resistance levels
Track where institutions may be defending positions
Combine with price action, orderflow, or volume profile strategies
Perfect for intraday trading, scalping, and swing entries
⚡ Alerts
New HOD AVWAP → Fires when price makes a fresh high of day, starting a new anchored VWAP.
New LOD AVWAP → Fires when price makes a fresh low of day, starting a new anchored VWAP.
🛠️ Settings
Show/hide HOD or LOD VWAP
Customize line colors and thickness
Works seamlessly across stocks, futures, forex, and crypto
💡 Pro Tip:
AVWAP from the high and low of the day often acts as a magnet for price. Watch how price reacts when revisiting these levels — confluence with other indicators = high-probability setups.
⚠️ Disclaimer:
This script is for educational purposes only. It is not financial advice. Always manage your own risk.
Range Expansion Signal (RES)Range Expansion Signal (RES)
The Range Expansion Signal (RES) is a lightweight yet effective indicator designed to highlight the internal dynamics of each candle.
🔹 How it works
Calculates the mid-price of each candle (the average between high and low).
Plots a horizontal line at the mid-price level.
Displays the mid-price value as a label on the chart.
Adds a directional marker:
▲ green when the current price is above the mid-price,
▼ red when the current price is below the mid-price.
🔹 How to use it
Quickly assess whether buying or selling pressure dominates within the candle.
Use as a reference in intraday or short-term strategies where range expansion matters.
Ideal for spotting potential breakouts, reversals, or confirming price action setups.
🔹 Why it’s useful
Unlike standard moving averages or static midpoints, RES provides a real-time visual signal directly on each candle. This makes it faster and cleaner to interpret price behavior without cluttering the chart.
Crypto Flows [ETF|On-chain]The surge in Bitcoin and Ethereum spot ETFs has transformed how crypto is held and traded. By mid‑2025, U.S. spot Bitcoin ETFs already controlled roughly 1.28 million BTC, or about 6.5 percent of the circulating supply (Fosque, 2025). This accumulation has coincided with sharp price rallies and signals that regulated vehicles are absorbing a meaningful share of supply (Fosque, 2025; Wright, 2025). At the same time, on‑chain analytics show that exchange flows still influence markets: large inflows to exchanges often precede sell‑offs, whereas withdrawals to private wallets signal accumulation and reduced sell pressure (Singh, 2024; CryptoQuant, 2024). IntoTheBlock’s large‑holder inflow indicator even notes that spikes in whale buying frequently mark major bottoms (IntoTheBlock, 2022). I wanted to weave these pieces together, so I created this indicator.
Essence and logic
The script draws from two data streams: net flows into ETFs and net on‑chain flows from large holders, both scaled by the asset’s circulating market cap. ETF flows are aggregated across the ten largest INDEX:BTCUSD Bitcoin ETFs, the ten largest Ethereum INDEX:ETHUSD ETFs and the first CRYPTOCAP:SOL Solana ETF; each fund has its own checkbox and colour selection. On‑chain data uses IntoTheBlock’s large‑holder inflows and outflows, with dozens of coins available( CRYPTO:XRPUSD CRYPTOCAP:AVAX CRYPTOCAP:ADA CRYPTOCAP:LINK CRYPTO:DOGEUSD CRYPTOCAP:OTHERS ; if your coin isn’t shown in the dropdown you can manually enter its symbol. For each component, daily flows are converted into either a Z‑score or, by default, a percent‑of‑market‑cap series; users choose the weighting between ETF and on‑chain signals. These weighted series are summed into a composite, smoothed, and then two moving averages (a fast and a slow one) are applied to define bullish or bearish regimes. Because ETFs are a recent phenomenon, the early part of the composite is dominated by on‑chain flows; as ETF history lengthens, the fund‑flow component will become more influential. Trade signals are generated via moving‑average crossovers and optional dip triggers, and a trend table summarises current values and directions.
Why these components?
ETF flows reflect institutional adoption and supply absorption. Funds such as IBIT already hold about 744 000 BTC (roughly 3.3 percent of total supply), and cumulative ETF holdings have been growing faster than new coins are mined (Wright, 2025). Net inflows into these vehicles have tended to accompany rising prices and signal long‑horizon capital (Fosque, 2025). On‑chain flows, meanwhile, capture exchange liquidity dynamics. High inflows to exchanges often indicate that investors are preparing to sell, increasing tradable supply (Singh, 2024; CryptoQuant, 2024). Outflows into self‑custody suggest accumulation and reduced sell pressure, providing a bullish signal (Singh, 2024; CryptoQuant, 2024). IntoTheBlock points out that spikes in large‑holder inflows—whales moving coins into cold storage—have historically preceded price bottoms (IntoTheBlock, 2022). By weighting and standardising these flows relative to market cap, the composite aims to offer a more objective lens on risk‑on versus risk‑off regimes than price alone.
Limitations and outlook
ETFs a pretty new, so the data history is short. The list of tracked funds is currently limited to U.S. and European products; adding Asian or Canadian vehicles could provide a fuller picture. On‑chain flows can be noisy and occasionally give conflicting signals, and large‑holder data is not available for every crypto asset. The ETF and on‑chain components are also correlated through market cap, so equal weighting may amplify common trends. As macro conditions evolve and ETF redemption mechanisms change, the usefulness of fund flows could vary. I see this indicator as one tool among many, and I’m considering adding stablecoin flows, derivatives funding rates, or halving‑cycle adjustments. Suggestions are welcome.
Personal note
I’m a student who enjoys exploring the intersection of macro flows, on‑chain analytics and market psychology. This script is free to use. You can enable or disable each component, adjust weights, change the display mode and lookback, and select individual ETF tickers. If it brings you value, feel free to follow my work or reach out with feedback. I appreciate your support. Please remember that this indicator is for educational purposes and not investment advice. I built this indicator in addition to my Liquidity indicator, where I use Global M2, the yield curve, and the high-yield spread to define risk-on/risk-off regimes. If you are interested, you can find it here:
References
CryptoQuant Team. (2024). Exchange in/outflow and netflow user guide.
Fosque, J. (2025). Bitcoin ETFs pull $17.8 billion in 90 days as price surges past $118 K. The Digital Chamber.
IntoTheBlock. (2022). Large holders inflow indicator description.
Singh, O. (2024). Crypto exchange inflows and outflows explained: What they reveal about market trends. CCN.
Wright, L. (2025). Bitcoin ETFs to lock up 1.5 million BTC by New Year as supply squeeze tightens grip. CryptoSlate.
Daily Levels (Open, Prev High/Low)A clean and lightweight indicator that automatically plots three key intraday levels: the Daily Open, the Previous Day's High (PDH), and the Previous Day's Low (PDL). Essential for identifying potential support, resistance, and daily market bias without cluttering your chart.
Overview
This indicator is designed to be a simple yet powerful tool for intraday traders. It automatically draws three of the most significant price levels that traders watch every day:
The Current Day's Opening Price
The Previous Day's High (PDH)
The Previous Day's Low (PDL)
By having these levels plotted automatically, you can keep your charts clean and focus on your strategy instead of manually drawing lines every new trading session.
Key Features
Dynamic Daily Open Line: This line represents the opening price of the current session. It dynamically changes color to give you an at-a-glance view of the daily sentiment.
Green: Current price is trading above the daily open (Bullish sentiment).
Red: Current price is trading below the daily open (Bearish sentiment).
Gray: Current price is at the open.
Previous Day's High (PDH): A line marking the highest price reached during the prior trading session. This level frequently acts as a key resistance point.
Previous Day's Low (PDL): A line marking the lowest price reached during the prior trading session. This level often serves as a key support area.
How to Use This Indicator
These levels are fundamental to many intraday trading strategies:
Identify Support & Resistance: Use PDH and PDL as natural areas to watch for price reactions. A break above PDH can signal strong bullish momentum, while a break below PDL can indicate strong bearish momentum.
Gauge Market Bias: Trading above the Daily Open is often considered bullish for the day, while trading below it is considered bearish. This can help you filter trades to align with the dominant intraday trend.
Set Entries & Exits: Look for confirmation signals (like candlestick patterns or other indicator signals) when the price interacts with these levels. They can also be logical areas for placing stop-losses or take-profit targets.
Customization
The indicator is fully customizable to fit your charting style:
Toggle the visibility of the Daily Open and the PDH/PDL lines.
Adjust the colors and line widths for each level.
This tool helps you stay focused on the levels that matter most for day trading.
Swing Points - Liquidity DR📌 Description
This indicator highlights swing points and liquidity levels with clean visuals and flexible options. It automatically detects significant highs and lows, then plots liquidity zones using customizable lines, boxes, and labels. Volume and Open Interest Δ (OI Δ) filters are integrated to validate the strength of each level.
⚙️ Features
Liquidity boxes plotted at swing highs and lows with customizable colors and styles.
Toggle visibility for lines, boxes, and labels to keep charts clean.
Filter swing levels using Volume thresholds and Open Interest Δ polarity (positive/negative).
Multi-exchange OI data support: Binance, BitMEX, Kraken.
Extend until fill or auto-remove levels once price interacts with them.
Dark/Light theme support with full text/label styling controls.
Lookback filter (days) to limit displayed levels for clarity.
🎯 Use Cases
Identify liquidity pools where price is likely to react.
Track smart money behavior around highs and lows.
Combine volume + OI confirmation to focus only on high-value zones.
HTF Dealing Range & FibsKey Features:
Premium & Discount Zone Visualization: Clear, color-coded boxes are drawn to represent the Premium (sell zone), Discount (buy zone), and the crucial Equilibrium (50%) level. These boxes extend into the future so you can anticipate future price action.
Customizable Fibonacci Levels: Plot key Fibonacci retracement levels within the defined range. You can customize which levels you want to see (e.g., 0.62, 0.79, etc.) to pinpoint specific points of interest.
Multi-Timeframe Confluence Table: A powerful, on-screen dashboard that shows you the status of the current price relative to the P&D zones on up to 5 different timeframes simultaneously. Instantly see if the price is in a Premium or Discount zone on the 15m, 1H, 4H, and Daily charts at a single glance.
Built-in Alerts: Never miss an opportunity. Set up alerts to be notified the moment the price enters the Premium or Discount zone on your chosen HTF, allowing you to prepare for potential trade setups.
Fully Customizable: Take full control over the indicator's appearance. Adjust pivot lookback periods, colors of the zones and Fibs, and select which timeframes appear in your dashboard to match your personal trading plan.
Disclaimer:
This indicator is provided for educational and informational purposes only and should not be considered as financial or investment advice. Trading and investing in financial markets, including but not limited to stocks, forex, and cryptocurrencies, involves a substantial risk of loss and is not suitable for every investor.
Major & Modern Wars TimelineDescription:
This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts.
Features:
Displays start (red line + label) and end (green line + label) for each war.
Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq).
Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War.
For ongoing conflicts, the end date is set to 2025 for timeline visualization.
Customizable: label position (above/below bar), line width.
Works on any chart timeframe, overlaying events on financial data.
Use case:
Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
Major & Modern Wars TimelineDescription:
This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts.
Features:
Displays start (red line + label) and end (green line + label) for each war.
Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq).
Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War.
For ongoing conflicts, the end date is set to 2025 for timeline visualization.
Customizable: label position (above/below bar), line width.
Works on any chart timeframe, overlaying events on financial data.
Use case:
Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
OB - MentorXOB - MentorX
Advanced OrderBlock Detection with Smart Alerts
🎯 Key Features:
- Smart OrderBlock Detection: Identifies bullish/bearish OrderBlocks using fractal breaks
- Multi-Timeframe Alerts: Get instant notifications on 1m, 3m, 5m, 15m, 30m, 1h, 4h
- Strength Filter: Only alerts on significant OrderBlocks (ATR-based strength)
- Visual Confirmation: Alerts sync perfectly with drawn OrderBlock lines
- Customizable Settings: Adjust line styles, colors, and alert preferences
🔔 Alert System:
How It Works:
- OrderBlock detected → Lines drawn → Alert triggered
- No false signals - only alerts when OrderBlock is visible on chart
- Strength filter prevents noise alerts on weak OrderBlocks
Alert Examples:
🔴 Bearish OrderBlock Created
Timeframe: 15m
High: 1.2345
Low: 1.2300
Strength: 2.45% ATR
🟢 Bullish OrderBlock Created
Timeframe: 1h
High: 1.2400
Low: 1.2350
Strength: 3.20% ATR
⚙️ Setup:
1. Enable "Enable Alerts" in settings
2. Select desired timeframes (1m, 3m, 5m, 15m, 30m, 1h, 4h)
3. Adjust "Minimum OB Strength" (0.1-5.0% ATR)
4. Create TradingView alert with "Any alert() function call"
🎨 Customization:
- Line styles: Solid, Dashed, Dotted
- Colors: Customize bearish/bullish line colors
- Fractal filters: 3-bar or 5-bar fractals
- FVG filtering: Optional Fair Value Gap confirmation
📊 Perfect for:
- Scalping
- Swing trading
- Multi-timeframe analysis
- Professional trading strategies
Perfect for scalping, swing trading, and multi-timeframe analysis!
Daily Start Vertical Lines (≤1H)This indicator automatically plots vertical lines at the start of each new trading day, based on the selected chart’s timezone. Unlike the default daily session boundaries (which often start at 17:00 New York time), this tool ensures that lines are drawn precisely at 00:00 midnight of the chart’s timezone.
🔹 Features:
Plots a vertical line at every new day start (midnight).
Fully time-zone aware → lines adjust automatically when you change the chart’s timezone.
Customizable line style, width, and color.
Option to limit plotting to specific timeframes (e.g., show only on ≤ 1H charts).
Lightweight & optimized (does not clutter higher-timeframe charts).
🔹 Use Cases:
Quickly identify daily boundaries for intraday analysis.
Helps scalpers and day traders align trades with new day opens.
Useful for strategies that depend on daily session resets.
This tool is especially helpful for traders who want clarity when working across different time zones.
Smart Money Precision Structure [BullByte]Smart Money Precision Structure
Advanced Market Structure Analysis Using Institutional Order Flow Concepts
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OVERVIEW
Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis.
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PURPOSE AND ORIGINALITY
Why This Indicator Was Developed
• Addresses the gap between retail and institutional analysis methods
• Consolidates multiple analysis techniques that professionals use separately
• Automates complex market structure evaluation into actionable insights
• Eliminates the need for multiple indicators by providing comprehensive analysis
What Makes SMPS Original
• Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering
• Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns
• Adaptive Intelligence - Parameters automatically adjust based on detected market conditions
• Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100%
• Structure Break Detection - Advanced pivot analysis identifies trend reversals early
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HOW IT WORKS - TECHNICAL METHODOLOGY
1. Market Regime Analysis Engine
The indicator evaluates five core market dimensions:
• Volatility Score - Measures current volatility against 50-period historical baseline
• Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs
• Momentum Score - Combines RSI divergence with MACD signal alignment
• Structure Score - Evaluates pivot point formation clarity
• Efficiency Score - Calculates directional movement efficiency ratio
These scores combine to classify markets into five regimes:
• TRENDING - Strong directional movement with aligned indicators
• RANGING - Sideways movement with mixed directional signals
• VOLATILE - Elevated volatility with unpredictable price swings
• QUIET - Low volatility consolidation periods
• TRANSITIONAL - Market shifting between different regimes
2. Market Structure Analysis
Advanced pivot point analysis identifies:
• Higher Highs and Higher Lows for bullish structure
• Lower Highs and Lower Lows for bearish structure
• Structure breaks when established patterns fail
• Dynamic support and resistance from recent pivot points
• Key level proximity detection using ATR-based buffers
3. Volume Flow Decoding
Institutional activity detection through:
• Volume surge identification when volume exceeds 2x average
• Buy versus sell pressure analysis using price-volume correlation
• Flow strength measurement through directional volume consistency
• Divergence detection between volume and price movements
• Institutional threshold alerts when unusual volume patterns emerge
4. Multi-Period Momentum Synthesis
Weighted momentum calculation across four timeframes:
• 1-period momentum weighted at 40%
• 3-period momentum weighted at 30%
• 5-period momentum weighted at 20%
• 8-period momentum weighted at 10%
Result smoothed with 6-period EMA for noise reduction.
5. Price Action Quality Assessment
Each bar evaluated for:
• Range quality relative to 20-period average
• Body-to-range ratio for directional conviction
• Wick analysis for rejection pattern identification
• Pattern recognition including engulfing and hammer formations
• Sequential price movement analysis
6. Adaptive Parameter System
Parameters automatically adjust based on detected regime:
• Trending markets reduce sensitivity and confirmation requirements
• Volatile markets increase filtering and require additional confirmations
• Ranging markets maintain neutral settings
• Transitional markets use moderate adjustments
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COMPLETE SETTINGS GUIDE
Section 1: Core Analysis Settings
Analysis Sensitivity (0.3-2.0)
• Default: 1.0
• Lower values require stronger price movements
• Higher values detect more subtle patterns
• Scalpers use 0.8-1.2, swing traders use 1.5-2.0
Noise Reduction Level (2-7)
• Default: 4
• Controls filtering of false patterns
• Higher values reduce pattern frequency
• Increase in volatile markets
Minimum Move % (0.05-0.50)
• Default: 0.15%
• Sets minimum price movement threshold
• Adjust based on instrument volatility
• Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50%
High Confirmation Mode
• Default: True (Enabled)
• Requires all technical conditions to align
• Reduces frequency but increases reliability
• Disable for more aggressive pattern detection
Section 2: Market Regime Detection
Enable Regime Analysis
• Default: True (Enabled)
• Activates market environment evaluation
• Essential for adaptive features
• Keep enabled for best results
Regime Analysis Period (20-100)
• Default: 50 bars
• Determines regime calculation lookback
• Shorter for responsive, longer for stable
• Scalping: 20-30, Swing: 75-100
Minimum Market Clarity (0.2-0.8)
• Default: 0.4
• Quality threshold for pattern generation
• Higher values require clearer conditions
• Lower for more patterns, higher for quality
Adaptive Parameter Adjustment
• Default: True (Enabled)
• Enables automatic parameter optimization
• Adjusts based on market regime
• Highly recommended to keep enabled
Section 3: Market Structure Analysis
Enable Structure Validation
• Default: True (Enabled)
• Validates patterns against support/resistance
• Confirms trend structure alignment
• Essential for reliability
Structure Analysis Period (15-50)
• Default: 30 bars
• Period for structure pattern analysis
• Affects support/resistance calculation
• Match to your trading timeframe
Minimum Structure Alignment (0.3-0.8)
• Default: 0.5
• Required structure score for valid patterns
• Higher values need stronger structure
• Balance with desired frequency
Section 4: Analysis Configuration
Minimum Strength Level (3-5)
• Default: 4
• Minimum confirmations for pattern display
• 5 = Maximum reliability, 3 = More patterns
• Beginners should use 4-5
Required Technical Confirmations (4-6)
• Default: 5
• Number of aligned technical factors
• Higher = fewer but better patterns
• Works with High Confirmation Mode
Pattern Separation (3-20 bars)
• Default: 8 bars
• Minimum bars between patterns
• Prevents clustering and overtrading
• Increase for cleaner charts
Section 5: Technical Filters
Momentum Validation
• Default: True (Enabled)
• Requires momentum alignment
• Filters counter-trend patterns
• Essential for trend following
Volume Confluence Analysis
• Default: True (Enabled)
• Requires volume confirmation
• Identifies institutional participation
• Critical for reliability
Trend Direction Filter
• Default: True (Enabled)
• Only shows patterns with trend
• Reduces counter-trend signals
• Disable for reversal hunting
Section 6: Volume Flow Analysis
Institutional Activity Threshold (1.2-3.5)
• Default: 2.0
• Multiplier for unusual volume detection
• Lower finds more institutional activity
• Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5
Volume Surge Multiplier (1.8-4.5)
• Default: 2.5
• Defines significant volume increases
• Adjust per instrument characteristics
• Higher for stocks, lower for forex
Volume Flow Period (12-35)
• Default: 18 bars
• Smoothing for volume analysis
• Shorter = responsive, longer = smooth
• Match to timeframe used
Section 7: Analysis Frequency Control
Maximum Analysis Points Per Hour (1-5)
• Default: 3
• Limits pattern frequency
• Prevents overtrading
• Scalpers: 4-5, Swing traders: 1-2
Section 8: Target Level Configuration
Target Calculation Method
• Default: Market Adaptive
• Three modes available:
- Fixed: Uses set point distances
- Dynamic: ATR-based calculations
- Market Adaptive: Structure-based levels
Minimum Target/Risk Ratio (1.0-3.0)
• Default: 1.5
• Minimum acceptable reward vs risk
• Higher filters lower probability setups
• Professional standard: 1.5-2.0
Fixed Mode Settings:
• Fixed Target Distance: 50 points default
• Fixed Invalidation Distance: 30 points default
• Use for consistent instruments
Dynamic Mode Settings:
• Dynamic Target Multiplier: 1.8x ATR default
• Dynamic Invalidation Multiplier: 1.0x ATR default
• Adapts to volatility automatically
Market Adaptive Settings:
• Use Structure Levels: True (default)
• Structure Level Buffer: 0.1% default
• Places levels at actual support/resistance
Section 9: Visual Display Settings
Color Theme Options
• Professional (Teal/Red)
- Bullish: Teal (#26a69a)
- Bearish: Red (#ef5350)
- Neutral: Gray (#78909c)
- Best for: Traditional traders, clean appearance
• Dark (Neon Green/Pink)
- Bullish: Neon Green (#00ff88)
- Bearish: Hot Pink (#ff0044)
- Neutral: Dark Gray (#333333)
- Best for: Dark theme users, high contrast
• Light (Green/Red Classic)
- Bullish: Green (#4caf50)
- Bearish: Red (#f44336)
- Neutral: Light Gray (#9e9e9e)
- Best for: Light backgrounds, traditional colors
• Vibrant (Cyan/Magenta)
- Bullish: Cyan (#00ffff)
- Bearish: Magenta (#ff00ff)
- Neutral: Medium Gray (#888888)
- Best for: High visibility, modern appearance
Dashboard Position
• Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right
• Default: Top Right
• Choose based on chart layout preference
Dashboard Size
• Full: Complete information display (desktop)
• Mobile: Compact view for small screens
• Default: Full
Analysis Display Style
• Arrows : Simple directional markers
• Labels : Detailed text information
• Zones : Colored areas showing pattern regions
• Default: Labels (most informative)
Display Options:
• Display Analysis Strength: Shows star rating
• Display Target Levels: Shows target/invalidation lines
• Display Market Regime: Shows regime in pattern labels
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HOW TO USE SMPS - DETAILED GUIDE
Understanding the Dashboard
Top Row - Header
• SMPS Dashboard title
• VALUE column: Current readings
• STATUS column: Condition assessments
Market Regime Row
• Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL
• Color coding: Green = Favorable, Red = Caution
• Status: FAVORABLE or CAUTION trading conditions
Market Score Row
• Percentage from 0-100%
• Above 60% = Strong conditions
• 40-60% = Moderate conditions
• Below 40% = Weak conditions
Structure Row
• Direction: BULLISH, BEARISH, or NEUTRAL
• Status: INTACT or BREAK
• Orange BREAK indicates structure failure
Volume Flow Row
• Direction: BUYING or SELLING
• Intensity: STRONG or WEAK
• Color indicates dominant pressure
Momentum Row
• Numerical momentum value
• Positive = Upward pressure
• Negative = Downward pressure
Volume Status Row
• INST = Institutional activity detected
• HIGH = Above average volume
• NORM = Normal volume levels
Adaptive Mode Row
• ACTIVE = Parameters adjusting
• STATIC = Fixed parameters
• Shows required confirmations
Analysis Level Row
• Minimum strength level setting
• Pattern separation in bars
Market State Row
• Current analysis: BULLISH, BEARISH, NEUTRAL
• Shows analysis price level when active
T:R Ratio Row
• Current target to risk ratio
• GOOD = Meets minimum requirement
• LOW = Below minimum threshold
Strength Row
• BULL or BEAR dominance
• Numerical strength value 0-100
Price Row
• Current price
• Percentage change
Last Analysis Row
• Previous pattern direction
• Bars since last pattern
Reading Pattern Signals
Bullish Structure Pattern
• Upward triangle or "Bullish Structure" label
• Star rating shows strength (★★★★★ = strongest)
• Green line = potential target level
• Red dashed line = invalidation level
• Appears below price bars
Bearish Structure Pattern
• Downward triangle or "Bearish Structure" label
• Star rating indicates reliability
• Green line = potential target level
• Red dashed line = invalidation level
• Appears above price bars
Pattern Strength Interpretation
• ★★★★★ = 6 confirmations (exceptional)
• ★★★★☆ = 5 confirmations (strong)
• ★★★☆☆ = 4 confirmations (moderate)
• ★★☆☆☆ = 3 confirmations (minimum)
• Below minimum = filtered out
Visual Elements on Chart
Lines and Levels:
• Gray Line = 21 EMA trend reference
• Green Stepline = Dynamic support level
• Red Stepline = Dynamic resistance level
• Green Solid Line = Active target level
• Red Dashed Line = Active invalidation level
Pattern Markers:
• Triangles = Arrow display mode
• Text Labels = Label display mode
• Colored Boxes = Zone display mode
Target Completion Labels:
• "Target" = Price reached target level
• "Invalid" = Pattern invalidated by price
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RECOMMENDED USAGE BY TIMEFRAME
1-Minute Charts (Scalping)
• Sensitivity: 0.8-1.2
• Noise Reduction: 3-4
• Pattern Separation: 3-5 bars
• High Confirmation: Optional
• Best for: Quick intraday moves
5-Minute Charts (Precision Intraday)
• Sensitivity: 1.0 (default)
• Noise Reduction: 4 (default)
• Pattern Separation: 8 bars
• High Confirmation: Enabled
• Best for: Day trading
15-Minute Charts (Short Swing)
• Sensitivity: 1.0-1.5
• Noise Reduction: 4-5
• Pattern Separation: 10-12 bars
• High Confirmation: Enabled
• Best for: Intraday swings
30-Minute to 1-Hour (Position Trading)
• Sensitivity: 1.5-2.0
• Noise Reduction: 5-7
• Pattern Separation: 15-20 bars
• Regime Period: 75-100
• Best for: Multi-day positions
Daily Charts (Swing Trading)
• Sensitivity: 1.8-2.0
• Noise Reduction: 6-7
• Pattern Separation: 20 bars
• All filters enabled
• Best for: Long-term analysis
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MARKET-SPECIFIC SETTINGS
Forex Pairs
• Minimum Move: 0.05-0.10%
• Institutional Threshold: 1.5-2.0
• Volume Surge: 1.8-2.2
• Target Mode: Dynamic or Market Adaptive
Stock Indices (ES, NQ, YM)
• Minimum Move: 0.10-0.15%
• Institutional Threshold: 2.0-2.5
• Volume Surge: 2.5-3.0
• Target Mode: Market Adaptive
Individual Stocks
• Minimum Move: 0.15-0.25%
• Institutional Threshold: 2.0-2.5
• Volume Surge: 2.5-3.5
• Target Mode: Dynamic
Cryptocurrency
• Minimum Move: 0.20-0.50%
• Institutional Threshold: 2.5-3.5
• Volume Surge: 3.0-4.5
• Target Mode: Dynamic
• Increase noise reduction
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PRACTICAL APPLICATION EXAMPLES
Example 1: Strong Trending Market
Dashboard Reading:
• Market Regime: TRENDING
• Market Score: 75%
• Structure: BULLISH, INTACT
• Volume Flow: BUYING, STRONG
• Momentum: +0.45
Interpretation:
• Strong uptrend environment
• Institutional buying present
• Look for bullish patterns as continuation
• Higher probability of success
• Consider using lower sensitivity
Example 2: Range-Bound Conditions
Dashboard Reading:
• Market Regime: RANGING
• Market Score: 35%
• Structure: NEUTRAL
• Volume Flow: SELLING, WEAK
• Momentum: -0.05
Interpretation:
• No clear direction
• Low opportunity environment
• Patterns are less reliable
• Consider waiting for regime change
• Or switch to a range-trading approach
Example 3: Structure Break Alert
Dashboard Reading:
• Previous: BULLISH structure
• Current: Structure BREAK
• Volume: INST flag active
• Momentum: Shifting negative
Interpretation:
• Trend reversal potentially beginning
• Institutional participation detected
• Watch for bearish pattern confirmation
• Adjust bias accordingly
• Increase caution on long positions
Example 4: Volatile Market
Dashboard Reading:
• Market Regime: VOLATILE
• Market Score: 45%
• Adaptive Mode: ACTIVE
• Confirmations: Increased to 6
Interpretation:
• Choppy conditions
• Parameters auto-adjusted
• Fewer but higher quality patterns
• Wider stops may be needed
• Consider reducing position size
Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action.
• Example 1 – Bullish Structure Detection on SOLUSD 5m
• Example 2 – Bearish Structure Detected with Strong Confluence on SOLUSD 5m
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TROUBLESHOOTING GUIDE
No Patterns Appearing
Check these settings:
• High Confirmation Mode may be too restrictive
• Minimum Strength Level may be too high
• Market Clarity threshold may be too high
• Regime filter may be blocking patterns
• Try increasing sensitivity
Too Many Patterns
Adjust these settings:
• Enable High Confirmation Mode
• Increase Minimum Strength Level to 5
• Increase Pattern Separation
• Reduce Sensitivity below 1.0
• Enable all technical filters
Dashboard Shows "CAUTION"
This indicates:
• Market conditions are unfavorable
• Regime is RANGING or QUIET
• Market score is low
• Consider waiting for better conditions
• Or adjust expectations accordingly
Patterns Not Reaching Targets
Consider:
• Market may be choppy
• Volatility may have changed
• Try Dynamic target mode
• Reduce target/risk ratio requirement
• Check if regime is VOLATILE
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ALERTS CONFIGURATION
Alert Message Format
Alerts include:
• Pattern type (Bullish/Bearish)
• Strength rating
• Market regime
• Analysis price level
• Target and invalidation levels
• Strength percentage
• Target/Risk ratio
• Educational disclaimer
Setting Up Alerts
• Click Alert button on TradingView
• Select SMPS indicator
• Choose alert frequency
• Customize message if desired
• Alerts fire on pattern detection
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DATA WINDOW INFORMATION
The Data Window displays:
• Market Regime Score (0-100)
• Market Structure Bias (-1 to +1)
• Bullish Strength (0-100)
• Bearish Strength (0-100)
• Bull Target/Risk Ratio
• Bear Target/Risk Ratio
• Relative Volume
• Momentum Value
• Volume Flow Strength
• Bull Confirmations Count
• Bear Confirmations Count
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BEST PRACTICES AND TIPS
For Beginners
• Start with default settings
• Use High Confirmation Mode
• Focus on TRENDING regime only
• Paper trade first
• Learn one timeframe thoroughly
For Intermediate Users
• Experiment with sensitivity settings
• Try different target modes
• Use multiple timeframes
• Combine with price action analysis
• Track pattern success rate
For Advanced Users
• Customize per instrument
• Create setting templates
• Use regime information for bias
• Combine with other indicators
• Develop systematic rules
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IMPORTANT DISCLAIMERS
• This indicator is for educational and informational purposes only
• Not financial advice or a trading system
• Past performance does not guarantee future results
• Trading involves substantial risk of loss
• Always use appropriate risk management
• Verify patterns with additional analysis
• The author is not a registered investment advisor
• No liability accepted for trading losses
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VERSION NOTES
Version 1.0.0 - Initial Release
• Six-layer confluence system
• Adaptive parameter technology
• Institutional volume detection
• Market regime classification
• Structure break identification
• Real-time dashboard
• Multiple display modes
• Comprehensive settings
## My Final Thoughts
Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve.
The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system.
- BullByte
Multi-Timeframe Options Strategy with Dynamic Scoring System## Multi-Timeframe Options Strategy with Dynamic Scoring System
### Overview
This indicator combines 12 technical analysis tools using a proprietary 30-point scoring system to generate options trading signals (CALL/PUT). It's designed for traders seeking confluence-based entries with multiple confirmation layers.
### How the Scoring System Works
The indicator evaluates market conditions across three categories:
**Trend Analysis (9 points maximum):**
- EMA Alignment (9, 21, 50, 200): Checks if moving averages are properly stacked (3 points)
- ADX Trend Strength: Confirms trend momentum above 25 threshold (3 points)
- Higher Timeframe Confirmation: Validates signals against larger timeframe trend (3 points)
**Momentum Indicators (7 points maximum):**
- RSI Position & Direction: Optimal zones 40-65 for buys, 35-60 for sells (2 points)
- MACD Signal Line Cross: Momentum confirmation (2 points)
- Stochastic Oscillator: Overbought/oversold conditions (2 points)
- Bollinger Band Position: Price relative to middle band (1 point)
**Market Quality Filters (4 points maximum):**
- Volume Confirmation: 1.5x average volume requirement (2 points)
- VWAP Position: Trend alignment check (1 point)
- ATR Volatility: Ensures adequate price movement (1 point)
### Key Features
**1. Fair Value Gaps (FVG)**
- Identifies price inefficiencies between candles
- Bullish FVG: Current low > high (potential support)
- Bearish FVG: Current high < low (potential resistance)
- Visual representation with colored boxes on chart
**2. Three Operating Modes**
- Normal Mode: Minimum 10 points - balanced signal frequency
- High Mode: Minimum 15 points - fewer but stronger signals
- Ultra Mode: Minimum 20 points - only highest quality setups
**3. Protection Mechanisms**
- Bollinger Band squeeze detection avoids ranging markets
- Prevents conflicting signals (no simultaneous CALL/PUT)
- 5-bar minimum cooldown between signals
- Filters extreme RSI readings (>75 or <25)
**4. Risk Management**
- Three profit targets: 0.5%, 1%, 1.5%
- Stop loss: 0.5% or ATR-based
- Visual target lines with entry/exit levels
### How Components Work Together
The indicator creates a comprehensive market analysis by combining:
- **EMAs** provide the trend structure framework
- **Oscillators** (RSI, Stochastic) identify optimal entry timing
- **ADX** confirms trend strength to filter weak signals
- **Volume** validates institutional participation
- **Higher timeframe** acts as a directional filter
Each component contributes points to either bullish or bearish scoring. Signals only generate when one direction significantly outweighs the other and meets minimum thresholds.
### Usage Instructions
1. **Select Mode**: Choose Normal/High/Ultra based on your trading style
2. **Monitor Dashboard**: Check real-time scoring and market conditions
3. **Wait for Signals**: Main BUY/SELL labels appear when criteria met
4. **Follow Targets**: Use automated TP and SL levels for risk management
5. **Candle Labels**: Optional CALL/PUT labels show building momentum
### Dashboard Information
The dashboard displays:
- Current trend direction and HTF confirmation
- ADX strength and direction
- RSI status with divergence detection
- MACD momentum state
- Volume multiplier
- Market condition (trending/ranging)
- Live scoring for both directions
### Important Notes
- This is a technical analysis tool, not financial advice
- Past performance does not guarantee future results
- Always use proper risk management
- Test thoroughly on demo before live trading
### Originality
This indicator's unique value comes from:
1. The 30-point weighted scoring system that prioritizes different factors
2. Integration of Fair Value Gaps with traditional indicators
3. Multi-mode operation allowing traders to adjust signal frequency
4. Higher timeframe validation system
5. Comprehensive filtering to reduce false signals
The combination creates a systematic approach to options trading that goes beyond simple indicator mashups by providing clear, scored reasoning for each signal.
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### Updates and Support
For questions or suggestions, please comment below. The indicator will be updated based on community feedback while maintaining compliance with all platform rules.
ActivTrades - Crypto Fear & Greed Index - Ion JaureguiActivTrades - Crypto Fear & Greed Index - Ion Jauregui
This indicator measures the overall sentiment of the crypto market by combining key metrics: RSI, volatility, volume, BTC momentum, and altcoin dominance. Each component is normalized and weighted to generate an index from 0 to 100:
0–40 → Fear zone: investors show risk aversion.
40–60 → Neutral zone: market is balanced.
60–100 → Greed zone: investors show euphoria and higher risk appetite.
The indicator allows traders to quickly visualize market conditions and identify potential investment opportunities based on overall sentiment.
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The information provided does not constitute investment research. The material has not been prepared in accordance with the legal requirements designed to promote the independence of investment research and such should be considered a marketing communication.
All information has been prepared by ActivTrades ("AT"). The information does not contain a record of AT's prices, or an offer of or solicitation for a transaction in any financial instrument. No representation or warranty is given as to the accuracy or completeness of this information.
Any material provided does not have regard to the specific investment objective and financial situation of any person who may receive it. Past performance and forecasting are not a synonym of a reliable indicator of future performance. AT provides an execution-only service. Consequently, any person acting on the information provided does so at their own risk. Political risk is unpredictable. Central bank actions can vary. Platform tools do not guarantee success.
INDICATORS RISK ADVICE: The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by ActivTrades. This script intends to help follow the trend and filter out market noise. This script is meant for the use of international users. This script is not meant for the use of Spain users.
The Debasement IndexOVERVIEW
The Debasement Index measures asset prices relative to monetary debasement, providing a currency-neutral view of underlying economic fundamentals. Unlike traditional inflation metrics, it captures the sole impact of money supply expansion on asset valuations across different monetary regimes.
Key Innovation: Divides any asset by the ratio of Broad Money Supply (M2/M3) to Real GDP, reducing the impact of excess money creation on asset prices.
HOW IT WORKS
• Input 1: Select any symbol/asset for analysis (default: close price)
• Region: Choose country/currency for debasement calculation
• Display: Purple line overlay on main chart
Formula: Asset Price ÷ Debasement Index
i.e.
Formula: Asset Price ÷ (Money Supply / Real Output / last result (to rebased the index))
The indicator calculates neutralised security prices for each supported region:
• Numerator: M2/M3 money supply data
• Denominator: Real GDP (inflation-adjusted economic output)
• Number: rebases the index to the last updated value of the selected security
Supported Regions: US, UK etc. (regions may change based on availability)
DATA SOURCES
FRED (Federal Reserve Economic Data), TradingView Economics data feeds
INTERPRETATION
Rising Ratio: Asset outperforming monetary debasement (genuine value creation)
Falling Ratio: Asset underperforming relative to currency dilution (fundamental value loss)
Trend Analysis: Long-term slopes reveal whether assets maintain purchasing power against monetary expansion
The purple line represents the performance of the selected security after filtering out monetary noise, exposing fundamental economic trends that raw prices often obscure.
Take special note that most indices do not provide the total return, and the total return is necessary to understand actual value gains and losses.
APPLICATIONS
• Asset Allocation: Compare real returns across different monetary environments
• Cross-Country Analysis: Evaluate assets in countries with varying monetary policies
• Regime Identification: Spot asset price transitions that raw price measurements might obfuscate
• Value Assessment: Distinguish between monetary-driven and fundamental price movements
THEORETICAL FOUNDATION
Inspired by Anna Schwartz's monetary framework, the index attempts to measure currency dilution and remove that impact on the selected asset prices. It is a systematic attempt to filter out ‘monetary noise’ from financial data. The index addresses limitations of traditional inflation measures by:
1. Using real GDP (not nominal) to avoid circular causation of money creation
2. Capturing asset price effects beyond goods and services
3. Providing regime-aware analysis across monetary systems
LIMITATIONS
• Requires reliable M2/M3 and GDP data (scope and quality vary by country)
• Rebasing factors need periodic adjustment
• Most effective for medium to long-term analysis
• Not suitable for short-term trading signals
Note: This indicator reveals trends rather than providing entry/exit signals. Combining debasement-adjusted indices with comprehensive fundamental analysis can reframe and enhance your insights, providing a more complete understanding of price developments over time.
Adaptive Valuation [BackQuant]Adaptive Valuation
What this is
A composite, zero-centered oscillator that standardizes several classic indicators and blends them into one “valuation” line. It computes RSI, CCI, Demarker, and the Price Zone Oscillator, converts each to a rolling z-score, then forms a weighted average. Optional smoothing, dynamic overbought and oversold bands, and an on-chart table make the inputs and the final score easy to inspect.
How it works
Components
• RSI with its own lookback.
• CCI with its own lookback.
• DM (Demarker) with its own lookback.
• PZO (Price Zone Oscillator) with its own lookback.
Standardization via z-score
Each component is transformed using a rolling z-score over lookback bars:
z = (value − mean) ÷ stdev , where the mean is an EMA and the stdev is rolling.
This puts all inputs on a comparable scale measured in standard deviations.
Weighted blend
The z-scores are combined with user weights w_rsi, w_cci, w_dm, w_pzo to produce a single valuation series. If desired, it is then smoothed with a selected moving average (SMA, EMA, WMA, HMA, RMA, DEMA, TEMA, LINREG, ALMA, T3). ALMA’s sigma input shapes its curve.
Dynamic thresholds (optional)
Two ways to set overbought and oversold:
• Static : fixed levels at ob_thres and os_thres .
• Dynamic : ±k·σ bands, where σ is the rolling standard deviation of the valuation over dynLen .
Bands can be centered at zero or around the valuation’s rolling mean ( centerZero ).
Visualization and UI
• Zero line at 0 with gradient fill that darkens as the valuation moves away from 0.
• Optional plotting of band lines and background highlights when OB or OS is active.
• Optional candle and background coloring driven by the valuation.
• Summary table showing each component’s current z-score, the final score, and a compact status.
How it can be used
• Bias filter : treat crosses above 0 as bullish bias and below 0 as bearish bias.
• Mean-reversion context : look for exhaustion when the valuation enters the OB or OS region, then watch for exits from those regions or a return toward 0.
• Signal confirmation : use the final score to confirm setups from structure or price action.
• Adaptive banding : with dynamic thresholds, OB and OS adjust to prevailing variability rather than relying on fixed lines.
• Component tuning : change weights to emphasize trend (raise DM, reduce RSI/CCI) or range behavior (raise RSI/CCI, reduce DM). PZO can help in swing environments.
Why z-score blending helps
Indicators often live on different scales. Z-scoring places them on a common, unitless axis, so a one-sigma move in RSI has comparable influence to a one-sigma move in CCI. This reduces scale bias and allows transparent weighting. It also facilitates regime-aware thresholds because the dynamic bands scale with recent dispersion.
Inputs to know
• Component lookbacks : rsilb, ccilb, dmlb, pzolb control each raw signal.
• Standardization window : lookback sets the z-score memory. Longer smooths, shorter reacts.
• Weights : w_rsi, w_cci, w_dm, w_pzo determine each component’s influence.
• Smoothing : maType, smoothP, sig govern optional post-blend smoothing.
• Dynamic bands : dyn_thres, dynLen, thres_k, centerZero configure the adaptive OB/OS logic.
• UI : toggle the plot, table, candle coloring, and threshold lines.
Reading the plot
• Above 0 : composite pressure is positive.
• Below 0 : composite pressure is negative.
• OB region : valuation above the chosen OB line. Risk of mean reversion rises and momentum continuation needs evidence.
• OS region : mirror logic on the downside.
• Band exits : leaving OB or OS can serve as a normalization cue.
Strengths
• Normalizes heterogeneous signals into one interpretable series.
• Adjustable component weights to match instrument behavior.
• Dynamic thresholds adapt to changing volatility and drift.
• Transparent diagnostics from the on-chart table.
• Flexible smoothing choices, including ALMA and T3.
Limitations and cautions
• Z-scores assume a reasonably stationary window. Sharp regime shifts can make recent bands unrepresentative.
• Highly correlated components can overweight the same effect. Consider adjusting weights to avoid double counting.
• More smoothing adds lag. Less smoothing adds noise.
• Dynamic bands recalibrate with dynLen ; if set too short, bands may swing excessively. If too long, bands can be slow to adapt.
Practical tuning tips
• Trending symbols: increase w_dm , use a modest smoother like EMA or T3, and use centerZero dynamic bands.
• Choppy symbols: increase w_rsi and w_cci , consider ALMA with a higher sigma , and widen bands with a larger thres_k .
• Multiday swing charts: lengthen lookback and dynLen to stabilize the scale.
• Lower timeframes: shorten component lookbacks slightly and reduce smoothing to keep signals timely.
Alerts
• Enter and exit of Overbought and Oversold, based on the active band choice.
• Bullish and bearish zero crosses.
Use alerts as prompts to review context rather than as stand-alone trade commands.
Final Remarks
We created this to show people a different way of making indicators & trading.
You can process normal indicators in multiple ways to enhance or change the signal, especially with this you can utilise machine learning to optimise the weights, then trade accordingly.
All of the different components were selected to give some sort of signal, its made out of simple components yet is effective. As long as the user calibrates it to their Trading/ investing style you can find good results. Do not use anything standalone, ensure you are backtesting and creating a proper system.
