BALANCED Strategy: Intraday Pro + Smart DashboardWelcome to the BALANCED Strategy: Intraday Pro.
This all-in-one indicator is designed for Intraday traders looking to capture trend movements while effectively filtering out sideways market noise. It combines the power of Supertrend for direction, EMA 100 for the baseline trend, and rigorous validation via RSI and ADX.
The script also integrates a complete Risk Management system with targets based on the Golden Ratio (Fibonacci) and a real-time Dashboard.
⏳ Recommended Timeframes
This algorithm is optimized for Intraday volatility:
M5 (5 Minutes) ⭐️: Ideal for quick Scalping. The ADX filter is crucial here to avoid false signals.
M15 (15 Minutes) 🏆: The "Sweet Spot." It offers the best balance between signal frequency and trend reliability.
M30 / H1: For a "Swing Intraday" approach—calmer, fewer signals, but higher precision.
Not recommended for M1 (1 Minute) with default settings (too much noise).
🚀 How It Works
The algorithm follows a strict 3-step logic to generate high-quality signals:
1. Trend Identification (The Engine)
Supertrend: Determines the immediate direction.
EMA 100: Acts as a background trend filter. We only buy above and sell below the EMA.
2. Noise Filtering (Safety)
ADX (Average Directional Index): The signal is only validated if there is sufficient volatility (Configurable threshold, default 12) to avoid "chop markets" (flat markets).
RSI (Relative Strength Index): Strict momentum filter. Buy only if RSI > 50, Sell if RSI < 50.
3. Entry Confirmation (The Trigger)
The script doesn't just rely on a crossover. It waits for "Price Action" confirmation: the candle must close higher than the previous one (for Long) or lower (for Short) to validate the entry.
🛡️ Risk Management (Money Management)
This is the core strength of this tool. Upon signal validation, the script automatically calculates and plots:
Stop Loss (SL): Based on volatility (ATR). It places the stop at the recent Low/High with a safety padding.
Take Profit (TP): Two modes available:
Fibonacci Mode (Default): Targets the 1.618 extension (Golden Ratio) of the risk taken.
Fixed Ratio Mode: Targets a manual Risk/Reward ratio (e.g., 2.0).
📊 The Dashboard
Located at the bottom right, the smart dashboard provides vital info at a glance:
Signal Time: To check if the alert is fresh.
Type (LONG/SHORT): Color-coded (Green/Pink).
Tech Data: RSI and ADX values at the moment of the signal.
Exact Prices: Entry Level, Target (TP), and Stop Loss (SL).
⚙️ Configurable Settings
Sensitivity: Adjust the Supertrend factor (Default 2.0).
Filters: Toggle the RSI filter ON/OFF or adjust the ADX threshold.
Execution: Choose between Fibonacci Target (1.618) or a Manual Ratio.
⚠️ Disclaimer: This tool is a technical decision aid and does not constitute financial investment advice. Always use prudent risk management and backtest the indicator on your preferred assets before live use.
Cari dalam skrip untuk "entry"
Volume Profile VisionVolume Profile Vision - Complete Description
Overview
Volume Profile Vision (VPV) is an advanced volume profile indicator that visualizes where trading activity has occurred at different price levels over a specified time period. Unlike traditional volume indicators that show volume over time, this indicator displays volume distribution across price levels, helping traders identify key support/resistance zones, fair value areas, and potential reversal points.
What Makes This Indicator Original
Volume Profile Vision introduces several unique features not found in standard volume profile tools:
Dual-Direction Histogram Display:
Unlike conventional volume profiles that only show bars extending in one direction, VPV displays volume bars extending both left (into historical candles) and right (as a traditional histogram). This bi-directional approach allows traders to see exactly where historical price action intersected with high-volume nodes.
Real-Time Candle Highlighting: The indicator dynamically highlights volume bars that intersect with the current candle's price range, making it immediately obvious which volume levels are currently in play.
Four Professional Color Schemes: Each color scheme uses distinct gradient algorithms and visual encoding systems:
Traffic Light: Uses red (POC), green (VA boundaries), yellow (HVN), with grayscale gradients outside the value area
Aurora Glass: Modern cyan-to-magenta gradient with hot magenta POC highlighting
Obsidian Precision: Professional dark theme with white POC and electric cyan accents
Black Ice: Monochromatic cyan family with graduated intensity
Adaptive Transparency System: Automatically adjusts bar transparency based on position relative to value area, with special handling for each color scheme to maintain visual clarity.
Core Concepts & Calculations
Volume Distribution Analysis
The indicator divides the visible price range into user-defined price levels (default: 80 levels) and calculates the total volume traded at each level by:
Scanning back through the specified lookback period (customizable or visible range)
For each historical bar, determining which price levels the bar's high/low range intersects
Accumulating volume for each intersected price level
Optionally filtering by bullish/bearish volume only
Point of Control (POC)
The POC is the price level with the highest traded volume during the analyzed period. This represents the "fairest" price where most traders agreed on value. The indicator marks this with distinct coloring (red in Traffic Light, magenta in Aurora Glass, white in Obsidian Precision, cyan in Black Ice).
Trading Significance: POC acts as a strong magnet for price - markets tend to return to fair value. When price is away from POC, traders watch for:
Mean reversion opportunities when price is far from POC
Rejection signals when price tests POC from above/below
Breakout confirmation when price breaks through and holds beyond POC
Value Area (VA)
The Value Area encompasses the price range where a specified percentage (default: 68%) of all volume traded. This represents the range of "accepted value" by market participants.
Calculation Method:
Start at the POC (highest volume level)
Expand upward and downward, adding adjacent price levels
Always add the level with higher volume next
Continue until accumulated volume reaches the VA percentage threshold
Value Area High (VAH): Upper boundary of accepted value - acts as resistance
Value Area Low (VAL): Lower boundary of accepted value - acts as support
Trading Significance:
Price spending time inside VA indicates market equilibrium
Breakouts above VAH suggest bullish momentum shift
Breakdowns below VAL suggest bearish momentum shift
Returns to VA boundaries often provide high-probability entry zones
High Volume Nodes (HVN)
Price levels with volume exceeding a threshold percentage (default: 80%) of POC volume. These represent areas of strong agreement and consolidation.
Trading Significance:
HVNs act as strong support/resistance zones
Price tends to consolidate at HVNs before making directional moves
Breaking through an HVN often signals strong momentum
Low Volume Nodes (LVN)
Price levels within the Value Area with volume ≤30% of POC volume. These are zones price moved through quickly with minimal consolidation.
Trading Significance:
LVNs represent areas of rejection - price finds little acceptance
Price tends to move rapidly through LVN zones
Useful for setting stop-losses (below LVN for longs, above for shorts)
Can identify potential gaps or "air pockets" in the market structure
Grayscale POC Detection
A secondary POC detection system identifies the highest volume level outside the Value Area (with a 2-level buffer to avoid confusion). This helps identify significant volume accumulation zones that exist beyond the main value area.
How to Use This Indicator
Setup
Choose Lookback Period:
Enable "Use Visible Range" to analyze only what's on your chart
Or set "Fixed Range Lookback Depth" (default: 200 bars) for consistent analysis
Adjust Profile Resolution:
"Number of Price Levels" (default: 80) - higher = more granular analysis, lower = broader zones
Select Color Scheme:
Traffic Light: Best for clear POC/VA/HVN identification
Aurora Glass: Modern aesthetic for dark charts
Obsidian Precision: Professional trader preference
Black Ice: Minimalist single-color family
Visual Customization
Left Extension: How far back the left-side histogram extends into historical candles (default: 490 bars)
Right Extension: Width of the traditional histogram bars on the right (default: 50 bars)
Right Margin: Space between current price bar and histogram (default: 0 for flush alignment)
Left Profile Gap: Space between left-side histogram and candles (default: 0)
Trading Strategies
Strategy 1: Value Area Mean Reversion
Wait for price to move outside the Value Area (above VAH or below VAL)
Look for rejection signals (wicks, bearish/bullish candles)
Enter trades toward the POC
Take profits as price returns to POC or opposite VA boundary
Strategy 2: Breakout Confirmation
Identify when price is consolidating within the Value Area
Wait for a strong close above VAH (bullish) or below VAL (bearish)
Enter on the breakout or on first pullback to the VA boundary
Target previous HVNs or swing highs/lows outside the VA
Strategy 3: POC Support/Resistance
Watch for price approaching the POC level
If approaching from below, look for bullish reversal patterns at POC (support)
If approaching from above, look for bearish reversal patterns at POC (resistance)
Trade in the direction of the bounce with stops beyond the POC
Strategy 4: LVN Fast Movement Zones
Identify LVN zones within the Value Area (marked with "LVN" label)
When price enters an LVN, expect rapid movement through the zone
Avoid entering trades within LVNs
Use LVNs as confirmation of directional momentum
Alert System
The indicator includes 7 customizable alert conditions:
POC Touch: Alerts when price comes within 0.5 ATR of POC
VAH/VAL Touch: Alerts at Value Area boundaries
VA Breakout: Alerts on breakouts above VAH or below VAL
HVN Touch: Alerts when price contacts High Volume Nodes
LVN Entry: Alerts when entering Low Volume zones
POC Shift: Alerts when POC moves to a new price level
Reading the Profile
Price Labels (shown on the right side):
POC: Point of Control - highest volume price level
VAH: Value Area High - upper boundary of accepted value
VAL: Value Area Low - lower boundary of accepted value
LVN: Low Volume Node - expect fast movement through this zone
Color Intensity Interpretation:
Brighter colors = higher volume concentration
Dimmer colors = lower volume
Abrupt color changes = transition between volume zones
Gaps in the histogram = price levels with no trading activity
Technical Details
Volume Accumulation Logic:
For each bar in lookback period:
For each price level:
If bar's high/low range intersects price level:
Add bar's volume to that price level's total
Gradient Algorithm:
Traffic Light: Dual-range piecewise gradient (0-50% and 50-100% volume intensity)
Aurora Glass: Linear cyan-to-magenta interpolation
Obsidian Precision: Dark blue gradient with cyan highlights
Black Ice: Three-stage cyan intensity progression
Real-Time Updates:
The profile recalculates on every bar, including real-time tick data, ensuring the volume distribution always reflects current market structure.
Best Practices
Timeframe Selection: Use higher timeframes (4H, Daily) for swing trading, lower timeframes (5min, 15min) for day trading
Combine with Price Action: Volume profile shows WHERE, price action shows WHEN
Multiple Timeframe Analysis: Check daily VP for major levels, then drill down to intraday for entries
Volume Type Selection: Use "Bullish" volume in uptrends, "Bearish" in downtrends, or "Both" for complete picture
Adjust VA Percentage: 68% (default) captures one standard deviation; try 70% for tighter or 60% for broader value areas
Performance Notes
Maximum bars back: 5000 (handles deep historical analysis)
Maximum boxes: 500 (handles complex profiles)
Optimized calculation: Only recalculates on last bar for efficiency
Real-time capable: Updates as new ticks arrive
TTM Squeeze Pro Enhanced v1.5.1 [pyrevo]# TTM Squeeze Pro Enhanced
**Version:** 1.5.1
**Author:** pyrevo
**License:** MPL 2.0
## Credits
This indicator is a collective work based on the contributions of the TradingView community:
* **John Carter**: Creator of the original TTM Squeeze and TTM Squeeze Pro concepts.
* **Lazybear**: Original interpretation of the TTM Squeeze (Squeeze Momentum Indicator).
* **Makit0**: Evolution of Lazybear's script to factor in TTM Squeeze Pro upgrades (Squeeze PRO Arrows).
* **marsrides**: Some aesthetics solutions.
* **Beardy_Fred**: The base code from which this enhanced version was derived.
## Overview
**TTM Squeeze Pro Enhanced** is a professional-grade momentum and volatility indicator designed to identify explosive breakout opportunities. It is a refined version of the community's collective works, with amendments primarily to the Squeeze Conditions and visual aesthetics to provide a clearer, more actionable reading of market state.
### The Concept
For those unfamiliar with the TTM Squeeze, it is a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average) relate to Keltner Channels (average true range bands) compared with the momentum of the price action.
The concept is that as Bollinger Bands compress within Keltner Channels, price volatility decreases, giving way for a potential explosive price movement up or down.
### TTM Squeeze vs. TTM Squeeze Pro
* **Original TTM Squeeze:** Uses a 1.5 ATR Keltner Channel.
* **TTM Squeeze Pro (Enhanced):** Uses 1.0, 1.5, and 2.0 ATR Keltner Channels.
This helps differentiate between levels of squeeze (compression). The greater the compression (Bollinger Bands moving deeper into tighter Keltner Channels), the more potential for explosive moves.
## Indicator Analysis
### 1. Squeeze Detection (Dots)
The colored dots along the zero line represent the state of market volatility. This enhanced version uses a distinct color palette to indicate compression levels:
* **🔴 Red Dots (High Compression):** Extreme squeeze. One or both Bollinger Bands are inside the 1.0 ATR Keltner Channel.
* **🟠 Orange Dots (Medium Compression):** Significant squeeze. One or both BBs are inside the 1.5 ATR Keltner Channel.
* **⚪ Gray Dots (Low Compression):** Standard squeeze. One or both BBs are inside the 2.0 ATR Keltner Channel.
* **◽ Light Gray Dots (No Squeeze):** Volatility is normal or expanding. Squeeze has "fired".
### 2. Momentum (Histogram)
The histogram bars show price momentum relative to the squeeze:
* **Bright Green:** Positive, increasing momentum (Bullish).
* **Dark Green:** Positive, decreasing momentum (Bullish exhaustion).
* **Bright Red:** Negative, increasing momentum (Bearish).
* **Dark Red:** Negative, decreasing momentum (Bearish exhaustion).
### 3. Dual Momentum System
An optional secondary system to gauge trend strength:
* **Fast & Slow Momentum Lines:** Moving averages of the momentum to help identify crossovers.
* **Trend Crossovers:** Triangle markers indicate when fast momentum crosses slow momentum.
## Ideal Scenario
As the ticker enters the squeeze, **Gray dots** would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict, **Orange dots** would highlight a medium compression. As the price action and momentum continues to compress, a **Red dot** shows warning of high compression.
As price action leaves the squeeze, the coloring would reverse (Red → Orange → Gray → Light Gray). Any compression squeeze is considered "fired" at the first Light Gray dot that appears.
*Note: This is an ideal progression, however any type of squeeze sequence may appear at anytime.*
## Entry and Exit Guide
* **Entry:** John Carter recommends entering a position after at least 5 dots of compression (Gray/Orange/Red) or waiting for the first "No Squeeze" dot (Light Gray) to appear with confirming momentum.
* **Exit:** Exit on the second bar of decreasing momentum (Dark Green or Dark Red), or remain in the position after confirming a continuing trend through a separate indicator.
## Settings & Customization
* **Timeframe:** Built-in Multi-Timeframe (MTF) support allowing you to view higher-timeframe squeeze signals on lower-timeframe charts.
* **Appearance Modes:**
* **Default:** Standard enhanced palette.
* **Modern:** High-contrast palette (Teal/Red/Gold).
* **Classic MACD:** Traditional Blue/Orange line configuration.
* **Dashboard:** An on-chart table providing real-time data on squeeze status, momentum value, and trend strength.
Vassago & Tesla Ex-Machina 197 45 21 [Hakan Yorganci]Vassago & Tesla Ex-Machina 197 45 21
"Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke
🌑 The Genesis: Algorithmic Esotericism
This script is not merely a technical indicator; it is a digital artifact born from the convergence of Software Engineering and Hermetic Tradition.
As a developer and researcher dedicated to "Technomancy"—the study of applying esoteric logic to computational systems—I designed this algorithm using a custom, experimental programming environment I am currently developing. My goal was to move beyond standard, arbitrary financial inputs (like the default 200 SMA or 14 RSI) and instead derive parameters based on Universal Harmonics and Historical Archetypes.
This indicator, Ex-Machina, is the result of that transmutation. It applies ancient numeric precision to modern market chaos.
🔢 Decoding the Protocol: 197 - 45 - 21
Why these specific numbers? They were not chosen randomly; they were calculated through specific harmonic reductions to filter out market noise.
1. The Harmonic Trend (Tesla Protocol)
* The Logic: Standard analysis uses the 200-period Moving Average simply out of habit. However, applying Nikola Tesla’s 3-6-9 vibrational principles, the engine reduced the period to 197.
* The Numerology: 1+9+7 = 17 \rightarrow 1+7 = \mathbf{8}. In esoteric numerology, 8 represents infinite power, authority, and financial flow. This creates a baseline that aligns more organically with market accumulation than the static 200.
2. The Hidden Dip (Solomonic Sight)
* The Archetype: Based on the attributes of Vassago, the archetype of discovering "hidden things," the algorithm identified 45 as the precise threshold for a "Sniper Entry."
* The Function: Unlike the standard 30 RSI, this level identifies the exact moment a correction matures within a bullish trend—catching the dip before the crowd returns.
3. The Prophetic Vision
* The Logic: Using the Fibonacci Sequence, the indicator projects the support line 21 bars into the future.
* The Utility: This allows you to visualize where the support will be, granting you foresight before price action arrives.
⚖️ The Dual Mode Engine: Sealed vs. Living
Respecting the user's will, I have engineered this script as a Hybrid System. You can choose how the "spirit" of the code interacts with the market via the settings menu.
1. The Sealed Ritual (Default - Unchecked)
* Philosophy: "Trust in the Constants."
* Behavior: Strictly adheres to the 197 SMA and 45 RSI.
* Visual: Displays a Blue Trend Line.
* Best For: Traders who value stability, long-term trends, and the unyielding nature of harmonic mathematics.
2. The Living Spirit (Adaptive Mode - Checked)
* Philosophy: "As the market breathes, so does the code."
* Behavior:
* Transmutation: The trend line shifts from a Simple Moving Average (SMA) to an Exponential Moving Average (EMA 197) for faster reaction.
* Adaptive Volatility: The RSI entry level (45) becomes dynamic. It expands and contracts based on ATR (Average True Range). In high volatility, it demands a deeper dip to trigger a signal, protecting you from fake-outs.
* Visual: Displays a Fuchsia (Pink) Trend Line.
* Best For: Volatile markets (Crypto/Forex) and traders who want the algorithm to "sense" the fear and greed in the air.
⚙️ How to Trade
* Timeframe: Optimized for 4H (The Builder) and 1D (The Architect).
* The Signal: Wait for the "EX-MACHINA ENTRY" label. This signal manifests ONLY when:
* Price is holding above the 197 Harmonic Trend.
* Momentum crosses the Optimized Threshold (45 or Adaptive).
* Trend Strength is confirmed via ADX.
Author's Note:
I built this tool for those who understand that code is the modern spellbook. Use it wisely, risk responsibly, and let the harmonics guide your entries.
— Hakan Yorganci
Technomancer & Full Stack Developer
Indicator ***TuYa*** V8.2 – HH/HL MTF + Peak Mid ZoneIndicator TuYa V8.0 – HH/HL MTF + Peak Mid Zone
TuYa V8.0 combines multi-timeframe market structure with a Peak Reaction midline to create clean, rule-based reversal and trend entries – designed primarily for 1-minute execution with 1-hour bias.
🧠 Core Concept
This indicator fuses three ideas:
HTF Peak Reaction Midline (1H)
Uses a Peak Reaction style logic on the higher timeframe (HTF, default: 1H).
Identifies a reaction high and reaction low, then calculates their midpoint → the Peak Mid Zone.
This midline acts as a dynamic sentiment divider (above = premium / below = discount).
Multi-Timeframe HH/HL/LH/LL Structure
HTF structure (1H): detects HH, HL, LH, LL using pivot highs/lows.
LTF structure (1m): detects HH, HL, LH, LL on the execution timeframe (chart TF, intended for 1m).
HTF → LTF Confirmation Window
After a 1H structure event (HH, HL, LL, LH), the indicator opens a confirmation window of up to N LTF candles (default: 10 x 1m bars).
Within that window, the required 1m structure event must occur to confirm an entry.
🎯 Signal Logic
All entries are generated on the LTF (e.g. 1m chart), using HTF (e.g. 1H) bias + Peak Mid Zone:
1️⃣ Price ABOVE Peak Mid (Bullish premium zone)
Reversal SELL
HTF: HH (Higher High)
Within N 1m bars: LTF HH
→ SELL signal (fading HTF strength near premium)
Trend/Bullish BUY
HTF: HL (Higher Low)
Within N 1m bars: LTF LL
→ BUY signal (buying dips in an uptrend above midline)
2️⃣ Price BELOW Peak Mid (Bearish discount zone)
Reversal BUY
HTF: LL (Lower Low)
Within N 1m bars: LTF LL
→ BUY signal (catching potential reversal from discount)
Trend/Bearish SELL
HTF: LH (Lower High)
Within N 1m bars: LTF HH
→ SELL signal (shorting strength in a downtrend below midline)
Signals are plotted as small BUY/SELL triangles on the chart and exposed via alert conditions.
🧾 Filters & Options
⏳ HTF → LTF Delay Window
Input: “Max 1m bars after HTF trigger” (default: 10)
After a 1H HH/HL/LL/LH event, the indicator waits up to N LTF candles for the matching 1m structure pattern.
If no match occurs within the window, no signal is generated.
📉 RSI No-Trade Zone (HTF)
Toggle: Use RSI no-trade zone
Inputs:
RSI Length (HTF)
No-trade lower bound (default 45)
No-trade upper bound (default 65)
If HTF RSI is inside the defined band (e.g. 45–65), signals are blocked (no-trade regime), helping to avoid noisy mid-range conditions.
You can turn this filter ON/OFF and adjust the band dynamically.
🧱 5m OB / Direction Filter (Optional)
Toggle: Use 5m OB direction filter
Timeframe: Configurable (default: 5m).
Uses a simple directional proxy on the OB timeframe:
For BUY signals → require a bullish candle on OB timeframe.
For SELL signals → require a bearish candle on OB timeframe.
When enabled, this adds an extra layer of confluence by aligning entries with the short-term directional context.
⚙️ Key Inputs (Summary)
Timeframes
HTF (Peak Reaction & Structure): default 60 (1H)
Peak Reaction
Lookback bars (HTF)
ATR multiplier for zones
Show/Hide Peak Mid line
Structure
Pivot left/right bars (for HH/HL/LH/LL swings)
Toggle structure labels (HTF & LTF)
Confirmation
Max LTF bars after HTF trigger (default 10, fully configurable)
RSI Filter
Use filter (on/off)
RSI length
No-trade range (low/high)
5m OB Filter
Use filter (on/off)
OB timeframe (default 5m)
📡 Alerts & Automation
The script includes alertconditions for both BUY and SELL signals, with JSON-formatted alert messages suitable for routing to external bridges (e.g. bots, MT5/MT4, n8n, etc.).
Each alert includes:
Symbol
Side (BUY / SELL)
Price / Entry
SL & TP placeholders (from hidden plots, ready to be wired to your own logic)
Time
Performance tag
CommentCode (for strategy/type tagging on the receiver side)
You can attach these alerts to a webhook and let your execution engine handle SL/TP and order management.
📌 How to Use
Attach the indicator to a 1-minute chart.
Set HTF timeframe to 60 (or your preferred higher timeframe).
Optionally enable:
RSI regime filter
5m OB direction filter
Watch for:
Price relative to the Peak Mid line
BUY/SELL triangles that respect HTF structure + LTF confirmation + filters.
For automation, create alerts using the built-in conditions and your preferred JSON alert template.
⚠️ Disclaimer
This tool is for educational and informational purposes only.
It is not financial advice and does not guarantee profits. Always test thoroughly in replay / paper trading before using with live funds, and trade at your own risk.
Institutional Trend & Liquidity Nexus [Pro]Concept & Methodology
The core philosophy of this script is "Confluence Filtering." It does not simply overlay indicators; it forces them to work together. A signal is only valid if it aligns with the macro trend and liquidity structure.
Key Components:
Trend Engine: Uses a combination of EMA (7/21) for fast entries and SMA (200) for macro trend direction. The script includes a logical filter that invalidates Buy signals below the SMA 200 to prevent counter-trend trading.
Liquidity Imbalance (FVG): Automatically detects Fair Value Gaps to identify areas where price is likely to react. Unlike standalone FVG scripts, this module is visually optimized to show support/resistance zones without obscuring price action.
Smart Confluence Zones (Originality):
The script calculates a background "State" based on multiple factors.
Bullish Zone (Green Background): Triggers ONLY when Price > SMA 200 AND RSI > 50 AND Price > Baseline EMA.
Bearish Zone (Red Background): Triggers ONLY when Price < SMA 200 AND RSI < 50 AND Price < Baseline EMA.
This visual aid helps traders stay out of choppy markets and only focus when momentum and trend are aligned.
█ How to Use
Entry: Wait for a "Triangle" signal (Buy/Sell).
Validation: Check the Background Color. Is it highlighting a Confluence Zone?
Example: A Buy Signal inside a Green Confluence Zone is a high-probability setup.
Example: A Buy Signal with no background color suggests weak momentum and should be taken with caution.
Targets: Use the plotted FVG boxes as potential take-profit targets or re-entry zones.
Momentum Reversal / Dip Buyer [Score Based]Strategy Overview
Momentum Reversal / Dip Buyer is a quantitative reversal engine designed to fade stretched moves and buy dips / sell rallies when multiple momentum and context factors line up. It’s built for liquid instruments especially for ticker CME_MINI:ES1! and works best on intraday timeframes like the 5-minute or 1-minute chart.
Core Logic
This strategy builds a composite Momentum Score by combining:
Price Location: Relative to 100 SMA, 1000 EMA, and VWAP (trend / regime filter).
RSI: Overbought/oversold and mid-zone strength.
VWMO (Volume-Weighted Momentum): Direction and strength of volume-weighted price drift.
ADX: Trend strength filter (high vs low trend environment).
Full Stoch (%K): Short-term exhaustion and mean-reversion context.
CCI: Overbought/oversold turns (key trigger).
MFI: Volume-confirmed buying/selling pressure.
ATR Regime: High vs low volatility environment.
Cumulative Delta: Whether net aggressor flow is rising or falling.
From this, a single Momentum Score is computed each bar:
Longs: Taken when the score is depressed (scoreLow) and CCI crosses up from oversold.
Shorts: Taken when the score is elevated (scoreHigh) and CCI crosses down from overbought.
Risk Management & Trade Logic
Max Daily Trades: Hard cap on entries per day.
Hard Stop: Fixed % stop based on entry price.
Profit Target: Target ATR Multiplier × main ATR from entry.
Breakeven Logic: Optional; moves stop to breakeven (plus optional offset) after price moves a configurable multiple of the main ATR in your favor.
Trailing Stop (Separate ATR): Optional; uses its own ATR length and ATR-based trigger and distance. This lets you run slower ATR for targets while using a tighter, more reactive ATR for the trail.
Session Control
Trading Window: Optional session filter (e.g., 09:30–16:00). Entries are only allowed inside the defined window.
Force Flat at Session End: Option to automatically close all open positions when the session ends.
Visuals
The script plots entry arrows and a compact dashboard displaying: current Momentum Score, daily trade usage, and CCI status.
Disclaimer:
This script is for educational and research purposes only and is not financial advice. Past performance does not guarantee future results. Always forward-test and adjust parameters to your own risk tolerance and market.
Shoutout and all credit goes to AuclairsCapital for building the base foundation of this strategy on ThinkScript
Pure FVG [Textbook]1. The Core Concept
This is not a standard "show all gaps" indicator. It is a specific entry signal generator based on Smart Money Concepts (SMC).
It focuses on Consequent Encroachment (The 50% Level). The underlying principle is that a Fair Value Gap (FVG) represents a market inefficiency where opposing traders are trapped. When price retraces at least 50% back into this gap, it creates pressure as these trapped positions look to exit—either through stop-losses or position reversal. This makes the gap most likely to act as a reversal zone.
2. How It Works (The Lifecycle)
The indicator logic follows a strict sequence of events. A signal is generated only if all conditions are met in order:
-- Phase 1: Identification (The Fresh Gap)
The script scans for the classic 3-candle FVG pattern (where the 1st and 3rd candles do not overlap).
Visual: It draws a box (Green for Bullish, Red for Bearish) extending to the right.
The 50% Line: A dashed line is drawn through the center of the gap.
-- Phase 2: Mitigation (The Gray Zone)
This is the critical filter. The indicator waits for a candle to CLOSE past the 50% dashed line.
Once this happens, the gap is considered "Deeply Mitigated."
Visual: The box changes color to Gray. This tells the trader: "Price is deep in the zone, watch for a reaction."
-- Phase 3: The Signal (Rejection)
Once the box is Gray, the script watches for a "Rejection Candle."
Bullish Scenario: Price is deep in the gap (Gray). The script waits for a candle to close higher than it opened (a green candle).
Bearish Scenario: Price is deep in the gap (Gray). The script waits for a candle to close lower than it opened (a red candle).
Visual: A Triangle Label (▲ or ▼) appears, signaling an entry.
-- Phase 4: Invalidation
If the price closes completely past the far edge of the box (the Stop Loss level), the box is deleted immediately.
3. Key Options
These are the most important settings for the user:
-- Min Gap Size (%):
Filters out "noise." It ensures the script ignores tiny, insignificant gaps that are less than X% in height.
-- Max Visible Gaps:
Keeps your chart clean. It limits how many open boxes can be on the screen at once (e.g., only show the last 3 unclosed gaps).
-- Show Signal History Only:
Feature Highlight: When enabled, this hides all the "noise" of open or failed gaps. It only draws the boxes that successfully produced a Rejection Signal in the past.
ADX Breakout Enhanced Signal🥋 Trading Dojo – ADX Breakout Enhanced Signal
This indicator combines the trend-strength power of the ADX with dynamic breakout-based signals, designed for traders who want more frequent and higher-probability entries on timeframes like 1 hour.
The core logic focuses on:
📌 1. Trend Strength Detection with ADX
The indicator evaluates whether the market is showing a strong directional trend using an optimized ADX.
When ADX rises above the configured threshold, the system interprets that price has enough momentum to validate an entry.
📌 2. Breakout Entry Logic
It identifies points where price breaks recent highs or lows, confirming the start or continuation of movement.
This breakout-based approach produces more entries than traditional ADX strategies alone.
📌 3. Clear and Simple Signals
🟩 Long when price breaks a recent high with strong trend confirmation.
🟥 Short when price breaks a recent low with strong trend confirmation.
📌 4. Built-In Automated Alerts
The indicator automatically generates JSON alerts ready for use with automation tools such as trading bots, webhooks, BingX, 3Commas, Discord bots, and more.
🎯 Purpose of the Indicator
To provide more frequent, well-distributed, and momentum-validated entries, while maintaining simplicity and speed — perfect for real-time decision-making.
Perfect For:
Intraday trading
1h, 30m, and 15m timeframes
Breakout-based strategies
Automated trading systems
KAMA Flip strategyI built this strategy because I wanted something that doesn’t overcomplicate trading.
No 20 indicators, no guessing, no “maybe I should close here.”
Just a clear momentum flip, a defined stop, and a defined take profit. (for me on 1D BTC chart it works best with 6% stoploss and 3% takeprofit, lookback should be 40, everything else standard)
The idea is simple: when momentum shifts, I want to be on the right side of it.
KAMA is good for this because it speeds up when the market moves and slows down when it doesn’t.
I normalize it so it becomes a clean zero-line oscillator.
Above zero means momentum is turning up. Below zero means it’s turning down.
That’s the entire entry logic. A flip is a flip.
The exit logic is just as simple: one stop loss, one take profit, both fixed percentages from the entry.
The position closes 100% at the target or the stop. No scaling in, no scaling out, no trailing.
It’s straightforward and easy to analyze because every trade has the exact same structure.
I originally made this for BTC on the daily chart, but nothing stops you from trying it on other charts.
If you want it only to go long, only to go short, or take both sides, you can set that.
All the KAMA parameters are open so you can play with how reactive the signal is.
The visuals and SL/TP lines can be turned on or off depending on how clean you want your chart.
This isn’t financial advice. It’s just a system I like because it’s simple, objective, and does exactly what it’s supposed to do.
Test it, adjust it, break it, rebuild it — do whatever fits your own approach.
Elite S&D [By:CienF]Elite Supply & Demand
Description
Elite Supply & Demand is not just another zone indicator; it is a complete institutional trading system designed to identify high-probability imbalances in the market. Unlike standard indicators that flood the chart with weak zones, this script applies rigorous Price Action rules to filter, score, and validate only the most significant areas of interest.
The core philosophy of this tool is "Anormality". Institutional activity leaves a footprint in the form of explosive volatility relative to the recent context. This indicator detects these footprints, measures their intensity, and validates them against market structure.
Key Features
🔥 Dynamic Quality Scoring (The "Elite" Feature) The indicator doesn't just draw boxes; it rates them. It calculates a Volumetric Ratio comparing the explosive move against the historical average at the moment of creation.
Contextual Intelligence: It continues to track the initial move. If the momentum continues after a small pause, the score updates in real-time.
Visual Grades:
🔥 Fire: High Anormality (Institutional Imbalance).
⚡ Lightning: Moderate Anormality (Decent strength).
No Icon: Standard move.
🏗️ Advanced Structure Validation Includes a unique "Eventual Break" filter.
Latent Zones: You can choose to hide zones that haven't broken structure yet.
Auto-Validation: The zone remains invisible/transparent until price breaks a recent High/Low or Fractal Pivot. Once the break occurs, the zone "activates" on your chart.
🧠 Smart Mitigation Logic
No Zombie Zones: Once a zone is mitigated (touched), it is strictly processed. It can either turn gray (History Mode) or be removed instantly.
Priority Handling: Mitigated zones are never re-colored or re-validated, keeping your chart clean and accurate.
🚀 Performance Optimization
Date Lookback: Includes a "Days Back" filter to prevent the script from calculating thousands of historical candles, ensuring smooth performance even on lower timeframes (1m, 5m).
🔔 Integrated Alerts
Creation: Get notified immediately when a potential zone forms.
Validation: Get notified specifically when a latent zone breaks structure and becomes active.
How It Works ( The Logic)
Phase 1: The Base (Indecision): Identifies candles with small bodies (≤ 50% of range) representing equilibrium/accumulation.
Phase 2: The Explosion (Imbalance): Looks for a strong breakout candle (≥ 60% body) that moves away from the base.
Phase 3: The Follow-up: Verifies that the move continues. It allows for "Smart Pauses" (single indecision candles) within the trend but invalidates the zone if a reversal occurs immediately.
Phase 4: Structure Check: Verifies if the move broke the Recent Range (High/Low) or Fractal Pivots.
Settings & Configuration
1. Base & Exit Rules
Max % Body: Threshold to define an indecision candle (Default: 50%).
Explosive Min: Minimum strength required for the exit candle.
2. Structure Validation
Structure Type: Choose between Recent Range (more fluid) or Fractal Pivots (stricter).
Filter Eventual Break: Highly Recommended. If checked, zones appear only after they prove their strength by breaking structure.
3. Scoring (Quality)
High Quality Ratio: The multiplier required to earn the 🔥 icon (e.g., 2.0x larger than average).
Allow Pause: Allows the algorithm to capture larger moves even if there is a single small candle in the middle of the explosive leg.
4. Performance
Days Back: Limits how far back the indicator draws. Reduce this number on low timeframes to speed up loading.
Usage Recommendations
For Trend Trading: Look for "Follow-up" zones. If you see a 🔥 zone forming in the direction of the higher timeframe trend, it is a high-probability entry.
For Reversals: Use the "Filter Eventual Break" feature. Wait for the indicator to reveal a zone that has broken a major structure point.
Stop Loss Placement: The indicator draws the zone covering the entire "Base" (wicks included). A safe stop is typically just beyond the distal line (33% recommended) of the box.
🔔 How to Set Up Alerts
Since this indicator uses the dynamic alert() function to send detailed messages (Entry Price, Stop Zone, Type), you must configure it correctly:
Add the indicator to your chart and adjust the settings to your preference.
Click the "Create Alert" button (Clock Icon) on the right toolbar or press Alt + A.
Condition: Select "Elite S&D " from the dropdown menu.
Trigger (CRITICAL): You must select "Any alert() function call".
Note: Do not select "Crossing" or other standard conditions, or the alerts will not trigger.
Expiration: Select "Open-ended" (if you have a Premium plan) or set a future date.
Alert Actions: Choose where you want to receive the alert (Notify on App, Show Popup, Send Email, etc.).
Message: You can leave this default. The script automatically generates a detailed message with the Ticker, Timeframe, Zone Type, and Coordinates.
Click Create.
Disclaimer: This tool is designed to assist in technical analysis and does not constitute financial advice. Always use proper risk management.
Smart Money Toolkit - PD Engine Bias Map [KedArc Quant]Description
Smart Money is an advanced multi-layer Smart Money Concepts framework that automatically detects structure shifts, premium-discount zones, and institutional order flow.
It is built around the PD Engine, which calculates the midpoint of the most recent market swing and dynamically determines BUY or SELL bias based on where current price trades relative to that equilibrium. This toolkit visualizes structure, order blocks, and bias context in one clean map, giving traders an institutional-grade view without unnecessary signal clutter.
Why It Is Unique
- All CHoCH, BOS, Order Block, FVG, and PD logic are coded from scratch.
- Uses true equilibrium (50 percent PD midpoint) for dynamic bias.
- Optimized for stability and non-repainting behavior.
- Designed for clarity with minimal, performance-safe visuals.
Entry and Exit Logic (Discretionary Framework)
- This toolkit is not a signal generator. It provides market context that guides discretionary trading.
BUY Bias (Discount Zone)
- Price trades below PD Mid: the market is in discount.
- Wait for a bullish CHoCH or reaction from a demand OB or FVG before buying.
- Target 1 = PD Mid. Target 2 = next opposite OB or FVG.
SELL Bias (Premium Zone)
- Price trades above PD Mid: the market is in premium.
- Wait for a bearish CHoCH or reaction from a supply OB or FVG before shorting.
- Target 1 = PD Mid. Target 2 = next opposite OB or FVG.
Institutional concept sequence: Bias → Structure Shift → Confirmation → Execution.
Input Configuration
Swing Sensitivity - Determines how far back to identify HH and LL pivots.
OB / FVG Detection - Toggles visual Order Block or Fair Value Gap zones.
PD Engine - Shows PD midpoint line, zone shading, and bias table.
Multi-TF Bias Sync - Optionally reads a higher timeframe bias for confirmation.
Color Themes - Switch between light, dark, or institutional palettes.
Formula / Logic Summary
Concept Formula
PD Mid (Equilibrium) (Recent Swing High + Recent Swing Low) / 2
BUY Bias close < PD Mid
SELL Bias close > PD Mid
CHoCH / BOS Pivot-based structure reversal: HH→LL or LL→HH
Order Block Last bullish or bearish candle before displacement.
FVG Gap between prior candle high/low and next candle range.
These formulas follow the structure used in institutional Smart Money Concepts.
How It Helps Traders
- Shows institutional premium and discount zones visually.
- Defines clear directional bias before entry.
- Combines structure, order blocks, FVG, and equilibrium in one layout.
- Works on any timeframe or asset.
- Prevents emotional trades by giving objective bias context.
Glossary
PD Mid Midpoint between recent swing high and low (market fair value).
Premium Zone Price above PD Mid; sellers control.
Discount Zone Price below PD Mid; buyers control.
CHoCH Change of Character, first reversal signal.
BOS Break of Structure, trend continuation confirmation.
OB Order Block, last institutional candle before move.
FVG Fair Value Gap, price imbalance often revisited.
FAQ
Q: Is this a signal indicator?
A: No. It is a contextual framework that supports manual decision-making.
Q: Does it repaint?
A: No. All structure logic is confirmed on bar close.
Q: Does it work on all markets?
A: Yes. It is purely price-based and timeframe independent.
Q: When does bias change?
A: Only after a new confirmed swing high or low.
Q: Can it be backtested?
A: You can build strategies on top of this context using your own entry and exit rules.
Disclaimer
This script is provided for educational purposes only.
It is not financial advice.
Trading carries risk. Past performance does not guarantee future results.
Use proper risk management and test on demo accounts before applying to live markets.
Money Flow Matrix This comprehensive indicator is a multi-faceted momentum and volume oscillator designed to identify trend strength, potential reversals, and market confluence. It combines a volume-weighted RSI (Money Flow) with a double-smoothed momentum oscillator (Hyper Wave) to filter out noise and provide high-probability signals.
Core Components
1. Money Flow (The Columns) This is the backbone of the indicator. It calculates a normalized RSI and weights it by relative volume.
Green Columns: Positive money flow (Buying pressure).
Red Columns: Negative money flow (Selling pressure).
Neon Colors (Overflow): When the columns turn bright Neon Green or Neon Red, the Money Flow has breached the dynamic Bollinger Band thresholds. This indicates an extreme overbought or oversold condition, suggesting a potential climax in the current move.
2. Hyper Wave (The Line) This is a double-smoothed Exponential Moving Average (EMA) derived from price changes. It acts as the "signal line" for the system. It is smoother than standard RSI or MACD, reducing false signals during choppy markets.
Green Line: Momentum is increasing.
Red Line: Momentum is decreasing.
3. Confluence Zones (Background) The background color changes based on the agreement between Money Flow and Hyper Wave.
Green Background: Both Money Flow and Hyper Wave are bullish. This represents a high-probability long environment.
Red Background: Both Money Flow and Hyper Wave are bearish. This represents a high-probability short environment.
Signal Guide
The Matrix provides three tiers of signals, ranging from early warnings to confirmation entries.
1. Warning Dots (Circles) These appear when the Hyper Wave crosses specific internal levels (-30/30).
Green Dot: Early warning of a bullish rotation.
Red Dot: Early warning of a bearish rotation.
Usage: These are not immediate entry signals but warnings to tighten stop-losses or prepare for a reversal.
2. Major Crosses (Triangles) These occur when Money Flow crosses the zero line, confirmed by momentum direction.
Green Triangle Up: Major Buy Signal (Money Flow crosses above 0).
Red Triangle Down: Major Sell Signal (Money Flow crosses below 0).
Usage: These are the primary trend-following entry signals.
3. Divergences (Labels "R" and "H") The script automatically detects discrepancies between Price action and the Hyper Wave oscillator.
"R" (Regular Divergence): Indicates a potential Reversal.
Bullish R: Price makes a lower low, but Oscillator makes a higher low.
Bearish R: Price makes a higher high, but Oscillator makes a lower high.
"H" (Hidden Divergence): Indicates a potential Trend Continuation.
Bullish H: Price makes a higher low, but Oscillator makes a lower low.
Bearish H: Price makes a lower high, but Oscillator makes a higher high.
Dashboard (Confluence Meter)
Located in the bottom right of the chart, the dashboard provides a snapshot of the current candle's status. It calculates a score based on three factors:
Is Money Flow positive?
Is Hyper Wave positive?
Is Hyper Wave trending up?
Readings:
STRONG BUY: All metrics are bullish.
WEAK BUY: Mixed metrics, but leaning bullish.
NEUTRAL: Metrics are conflicting.
WEAK/STRONG SELL: Bearish equivalents of the buy signals.
Trading Strategies
Strategy A: The Trend Rider
Entry: Wait for a Green Triangle (Major Buy).
Confirmation: Ensure the Background is highlighted Green (Confluence).
Exit: Exit when the background turns off or a Red Warning Dot appears.
Strategy B: The Reversal Catch
Setup: Look for a Neon Red Column (Overflow/Oversold).
Trigger: Wait for a Green "R" Label (Regular Bullish Divergence) or a Green Warning Dot.
Confirmation: Wait for the Hyper Wave line to turn green.
Strategy C: The Pullback (Continuation)
Context: The market is in a strong trend (Green Background).
Trigger: Price pulls back, but a Green "H" Label (Hidden Bullish Divergence) appears.
Action: Enter in the direction of the original trend.
Settings Configuration
The code includes tooltips for all inputs to assist with configuration.
Money Flow Length: Adjusts the sensitivity of the volume calculation. Lower numbers are faster but noisier; higher numbers are smoother.
Threshold Multiplier: Controls the "Neon" overflow bars. Increasing this (e.g., to 2.5 or 3.0) will result in fewer, more extreme signals.
Divergence Lookback: Determines how many candles back the script looks to identify pivots. Increase this number to find larger, macro divergences.
Disclaimer
This source code and the accompanying documentation are for educational and informational purposes only. They do not constitute financial, investment, or trading advice.
paigep.llc - SuperMASuperMA is a multi-layered moving-average and candle-coloring system that combines SMA, EMA, and optional HMA logic to help traders visualize trend shifts, pullbacks, and momentum changes in a clean, structured way.
The script includes multiple modules: trend-based moving averages, pullback signals, exit logic, and an optional HMA cross engine.
📌 Core Features
1. Full SMA + EMA Framework
The indicator plots multiple moving averages (8, 9, 13, 20, 50, 200) using both SMA and EMA calculations. Each line automatically colors bullish or bearish based on its relationship to the 200-period baseline.Users can toggle SMAs and EMAs independently for clearer chart control.
2. Main Trend Entry & Exit Logic (8×200 and 8×20)
Built-in crossover logic detects:
Main Entry: SMA 8 crossing above/below EMA 200
Main Exit: SMA 8 and SMA 20 cross (with an option to choose which SMA is treated as the “fast” leg)
A “first exit only” option allows the script to ignore additional exit signals until a new trend regime begins.
3. Pullback Module (20 SMA Interaction)
Pullback entries and exits occur when price crosses the 20 SMA during existing trend conditions.
This includes:
Pullback entries through the 20 SMA
Pullback exits back across the 20 SMA
Labels and candle colors are available for all pullback events.
4. Optional HMA Cross Module
A separate module allows traders to use two Hull Moving Averages (HMA) with customizable:
Lengths
Independent timeframes
Line colors
Cross-based entries and exits
This module has its own events, labels, and optional candle coloring.
5. Advanced Candle Coloring System
Candle coloring is layered in priority order, based on:
Main trend entries
Main exits
HMA entries
HMA exits
Pullback entries
Pullback exits
Trend-only candles (based on SMA 8 relative to EMA 200)
Users may also independently color wicks and borders.
6. Configurable Alerts (Fully Decoupled from Visuals)
Alerts are available for all major events, including:
Main Entries (8×200)
Main Exits (8×20)
Pullback Entries and Exits
HMA Entries and Exits
Bull or Bear Trend candles
Any colored candle event
Alerts can fire on bar close only or intrabar, depending on user preference.
📌 Use Cases
SuperMA helps traders visualize:
Trend direction using SMA/EMA structure
Momentum shifts through HMA crosses
Pullback zones around the 20 SMA
Early regime transitions based on the 8×200 relationship
Candle-level context through color-coded bars
The indicator works across all markets and timeframes.
⚠️ Note
This tool is for visual and analytical assistance only. It does not guarantee future performance and should be combined with additional analysis and risk management.
paigep.llc - SuperMA
SuperMA is a multi-layered moving-average and candle-coloring system that combines SMA, EMA, and optional HMA logic to help traders visualize trend shifts, pullbacks, and momentum changes in a clean, structured way.
The script includes multiple modules: trend-based moving averages, pullback signals, exit logic, and an optional HMA cross engine.
📌 Core Features
1. Full SMA + EMA Framework
The indicator plots multiple moving averages (8, 9, 13, 20, 50, 200) using both SMA and EMA calculations. Each line automatically colors bullish or bearish based on its relationship to the 200-period baseline. Users can toggle SMAs and EMAs independently for clearer chart control.
2. Main Trend Entry & Exit Logic (8×200 and 8×20)
Built-in crossover logic detects:
Main Entry: SMA 8 crossing above/below EMA 200
Main Exit: SMA 8 and SMA 20 cross (with an option to choose which SMA is treated as the “fast” leg)
A “first exit only” option allows the script to ignore additional exit signals until a new trend regime begins.
3. Pullback Module (20 SMA Interaction)
Pullback entries and exits occur when price crosses the 20 SMA during existing trend conditions.
This includes:
Pullback entries through the 20 SMA
Pullback exits back across the 20 SMA
Labels and candle colors are available for all pullback events.
4. Optional HMA Cross Module
A separate module allows traders to use two Hull Moving Averages (HMA) with customizable:
Lengths
Independent timeframes
Line colors
Cross-based entries and exits
This module has its own events, labels, and optional candle coloring.
5. Advanced Candle Coloring System
Candle coloring is layered in priority order, based on:
Main trend entries
Main exits
HMA entries
HMA exits
Pullback entries
Pullback exits
Trend-only candles (based on SMA 8 relative to EMA 200)
Users may also independently color wicks and borders.
6. Configurable Alerts (Fully Decoupled from Visuals)
Alerts are available for all major events, including:
Main Entries (8×200)
Main Exits (8×20)
Pullback Entries and Exits
HMA Entries and Exits
Bull or Bear Trend candles
Any colored candle event
Alerts can fire on bar close only or intrabar, depending on user preference.
Use Cases
SuperMA helps traders visualize:
Trend direction using SMA/EMA structure
Momentum shifts through HMA crosses
Pullback zones around the 20 SMA
Early regime transitions based on the 8×200 relationship
Candle-level context through color-coded bars
The indicator works across all markets and timeframes.
⚠️ Note
This tool is for visual and analytical assistance only. It does not guarantee future performance and should be combined with additional analysis and risk management.
Flux-Tensor Singularity [FTS]Flux-Tensor Singularity - Multi-Factor Market Pressure Indicator
The Flux-Tensor Singularity (FTS) is an advanced multi-factor oscillator that combines volume analysis, momentum tracking, and volatility-weighted normalization to identify critical market inflection points. Unlike traditional single-factor indicators, FTS synthesizes price velocity, volume mass, and volatility context into a unified framework that adapts to changing market regimes.
This indicator identifies extreme market conditions (termed "singularities") where multiple confirming factors converge, then uses a sophisticated scoring system to determine directional bias. It is designed for traders seeking high-probability setups with built-in confluence requirements.
THEORETICAL FOUNDATION
The indicator is built on the premise that market time is not constant - different market conditions contain varying levels of information density. A 1-minute bar during a major news event contains far more actionable information than a 1-minute bar during overnight low-volume trading. Traditional indicators treat all bars equally; FTS does not.
The theoretical framework draws conceptual parallels to physics (purely as a mental model, not literal physics):
Volume as Mass: Large volume represents significant market participation and "weight" behind price moves. Just as massive objects have stronger gravitational effects, high-volume moves carry more significance.
Price Change as Velocity: The rate of price movement through price space represents momentum and directional force.
Volatility as Time Dilation: When volatility is high relative to its historical norm, the "information density" of each bar increases. The indicator weights these periods more heavily, similar to how time dilates near massive objects in physics.
This is a pedagogical metaphor to create a coherent mental model - the underlying mathematics are standard financial calculations combined in a novel way.
MATHEMATICAL FRAMEWORK
The indicator calculates a composite singularity value through four distinct steps:
Step 1: Raw Singularity Calculation
S_raw = (ΔP × V) × γ²
Where:
ΔP = Price Velocity = close - close
V = Volume Mass = log(volume + 1)
γ² = Time Dilation Factor = (ATR_local / ATR_global)²
Volume Transformation: Volume is log-transformed because raw volume can have extreme outliers (10x-100x normal). The logarithm compresses these spikes while preserving their significance. This is standard practice in volume analysis.
Volatility Weighting: The ratio of short-term ATR (5 periods) to long-term ATR (user-defined lookback) is squared to create a volatility amplification factor. When local volatility exceeds global volatility, this ratio increases, amplifying the raw singularity value. This makes the indicator regime-aware.
Step 2: Normalization
The raw singularity values are normalized to a 0-100 scale using a stochastic-style calculation:
S_normalized = ((S_raw - S_min) / (S_max - S_min)) × 100
Where S_min and S_max are the lowest and highest raw singularity values over the lookback period.
Step 3: Epsilon Compression
S_compressed = 50 + ((S_normalized - 50) / ε)
This is the critical innovation that makes the sensitivity control functional. By applying compression AFTER normalization, the epsilon parameter actually affects the final output:
ε < 1.0: Expands range (more signals)
ε = 1.0: No change (default)
ε > 1.0: Compresses toward 50 (fewer, higher-quality signals)
For example, with ε = 2.0, a normalized value of 90 becomes 70, making threshold breaches rarer and more significant.
Step 4: Smoothing
S_final = EMA(S_compressed, smoothing_period)
An exponential moving average removes high-frequency noise while preserving trend.
SIGNAL GENERATION LOGIC
When the tensor crosses above the upper threshold (default 90) or below the lower threshold (default 10), an extreme event is detected. However, the indicator does NOT immediately generate a buy or sell signal. Instead, it analyzes market context through a multi-factor scoring system:
Scoring Components:
Price Structure (+1 point): Current bar bullish/bearish
Momentum (+1 point): Price higher/lower than N bars ago
Trend Context (+2 points): Fast EMA above/below slow EMA (weighted heavier)
Acceleration (+1 point): Rate of change increasing/decreasing
Volume Multiplier (×1.5): If volume > average, multiply score
The highest score (bullish vs bearish) determines signal direction. This prevents the common indicator failure mode of "overbought can stay overbought" by requiring directional confirmation.
Signal Conditions:
A BUY signal requires:
Extreme event detection (tensor crosses threshold)
Bullish score > Bearish score
Price confirmation: Bullish candle (optional, user-controlled)
Volume confirmation: Volume > average (optional, user-controlled)
Momentum confirmation: Positive momentum (optional, user-controlled)
A SELL signal requires the inverse conditions.
INPUTS EXPLAINED - Core Parameters:
Global Horizon (Context): Default 20. Lookback period for normalization and volatility comparison. Higher values = smoother but less responsive. Lower values = more signals but potentially more noise.
Tensor Smoothing: Default 3. EMA period applied to final output. Removes "quantum foam" (high-frequency noise). Range 1-20.
Singularity Threshold: Default 90. Values above this (or below 100-threshold) trigger extreme event detection. Higher = rarer, stronger signals.
Signal Sensitivity (Epsilon): Default 1.0. Post-normalization compression factor. This is the key innovation - it actually works because it's applied AFTER normalization. Range 0.1-5.0.
Signal Interpreter Toggles:
Require Price Confirmation: Default ON. Only generates buy signals on bullish candles, sell signals on bearish candles. Reduces false signals but may delay entry.
Require Volume Confirmation: Default ON. Only signals when volume > average. Critical for stocks/crypto, less important for forex (unreliable volume data).
Use Momentum Filter: Default ON. Requires momentum agreement with signal direction. Prevents counter-trend signals.
Momentum Lookback: Default 5. Number of bars for momentum calculation. Shorter = more responsive, longer = trend-following bias.
Visual Controls:
Colors: Customizable colors for bullish flux, bearish flux, background, and event horizon.
Visual Transparency: Default 85. Master control for all visual elements (accretion disk, field lines, particles, etc.). Range 50-99. Signals and dashboard have separate controls.
Visibility Toggles: Individual on/off switches for:
Gravitational field lines (trend EMAs)
Field reversals (trend crossovers)
Accretion disk (background gradient)
Singularity diamonds (neutral extreme events)
Energy particles (volume bursts)
Event horizon flash (extreme event background)
Signal background flash
Signal Size: Tiny/Small/Normal triangle size
Signal Offsets: Separate controls for buy and sell signal vertical positioning (percentage of price)
Dashboard Settings:
Show Dashboard: Toggle on/off
Position: 9 placement options (all corners, centers, middles)
Text Size: Tiny/Small/Normal/Large
Background Transparency: 0-50, separate from visual transparency
VISUAL ELEMENTS EXPLAINED
1. Accretion Disk (Background Gradient):
A three-layer gradient background that intensifies as the tensor approaches extremes. The outer disk appears at any non-neutral reading, the inner disk activates above 70 or below 30, and the core layer appears above 85 or below 15. Color indicates direction (cyan = bullish, red = bearish). This provides instant visual feedback on market pressure intensity.
2. Gravitational Field Lines (EMAs):
Two trend-following EMAs (10 and 30 period) visualized as colored lines. These represent the "curvature" of market trend - when they diverge, trend is strong; when they converge, trend is weakening. Crossovers mark potential trend reversals.
3. Field Reversals (Circles):
Small circles appear when the fast EMA crosses the slow EMA, indicating a potential trend change. These are distinct from extreme events and appear at normal market structure shifts.
4. Singularity Diamonds:
Small diamond shapes appear when the tensor reaches extreme levels (>90 or <10) but doesn't meet the full signal criteria. These are "watch" events - extreme pressure exists but directional confirmation is lacking.
5. Energy Particles (Dots):
Tiny dots appear when volume exceeds 2× average, indicating significant participation. Color matches bar direction. These highlight genuine high-conviction moves versus low-volume drifts.
6. Event Horizon Flash:
A golden background flash appears the instant any extreme threshold is breached, before directional analysis. This alerts you to pay attention.
7. Signal Background Flash:
When a full buy/sell signal is confirmed, the background flashes cyan (buy) or red (sell). This is your primary alert that all conditions are met.
8. Signal Triangles:
The actual buy (▲) and sell (▼) markers. These only appear when ALL selected confirmation criteria are satisfied. Position is offset from bars to avoid overlap with other indicators.
DASHBOARD METRICS EXPLAINED
The dashboard displays real-time calculated values:
Event Density: Current tensor value (0-100). Above 90 or below 10 = critical. Icon changes: 🔥 (extreme high), ❄️ (extreme low), ○ (neutral).
Time Dilation (γ): Current volatility ratio squared. Values >2.0 indicate extreme volatility environments. >1.5 = elevated, >1.0 = above average. Icon: ⚡ (extreme), ⚠ (elevated), ○ (normal).
Mass (Vol): Log-transformed volume value. Compared to volume ratio (current/average). Icon: ● (>2× avg), ◐ (>1× avg), ○ (below avg).
Velocity (ΔP): Raw price change. Direction arrow indicates momentum direction. Shows the actual price delta value.
Bullish Flux: Current bullish context score. Displayed as both a bar chart (visual) and numeric value. Brighter when bullish score dominates.
Bearish Flux: Current bearish context score. Same visualization as bullish flux. These scores compete - the winner determines signal direction.
Field: Trend direction based on EMA relationship. "Repulsive" (uptrend), "Attractive" (downtrend), "Neutral" (ranging). Icon: ⬆⬇↔
State: Current market condition:
🚀 EJECTION: Buy signal active
💥 COLLAPSE: Sell signal active
⚠ CRITICAL: Extreme event, no directional confirmation
● STABLE: Normal market conditions
HOW TO USE THE INDICATOR
1. Wait for Extreme Events:
The indicator is designed to be selective. Don't trade every fluctuation - wait for tensor to reach >90 or <10. This alone is not a signal.
2. Check Context Scores:
Look at the Bullish Flux vs Bearish Flux in the dashboard. If scores are close (within 1-2 points), the market is indecisive - skip the trade.
3. Confirm with Signals:
Only act when a full triangle signal appears (▲ or ▼). This means ALL your selected confirmation criteria have been met.
4. Use with Price Structure:
Combine with support/resistance levels. A buy signal AT support is higher probability than a buy signal in the middle of nowhere.
5. Respect the Dashboard State:
When State shows "CRITICAL" (⚠), it means extreme pressure exists but direction is unclear. These are the most dangerous moments - wait for resolution.
6. Volume Matters:
Energy particles (dots) and the Mass metric tell you if institutions are participating. Signals without volume confirmation are lower probability.
MARKET AND TIMEFRAME RECOMMENDATIONS
Scalping (1m-5m):
Lookback: 10-14
Smoothing: 5-7
Threshold: 85
Epsilon: 0.5-0.7
Note: Expect more noise. Confirm with Level 2 data. Best on highly liquid instruments.
Intraday (15m-1h):
Lookback: 20-30 (default settings work well)
Smoothing: 3-5
Threshold: 90
Epsilon: 1.0
Note: Sweet spot for the indicator. High win rate on liquid stocks, forex majors, and crypto.
Swing Trading (4h-1D):
Lookback: 30-50
Smoothing: 3
Threshold: 90-95
Epsilon: 1.5-2.0
Note: Signals are rare but high conviction. Combine with higher timeframe trend analysis.
Position Trading (1D-1W):
Lookback: 50-100
Smoothing: 5-7
Threshold: 95
Epsilon: 2.0-3.0
Note: Extremely rare signals. Only trade the most extreme events. Expect massive moves.
Market-Specific Settings:
Forex (EUR/USD, GBP/USD, etc.):
Volume data is unreliable (spot forex has no centralized volume)
Disable "Require Volume Confirmation"
Focus on momentum and trend filters
News events create extreme singularities
Best on 15m-1h timeframes
Stocks (High-Volume Equities):
Volume confirmation is CRITICAL - keep it ON
Works excellently on AAPL, TSLA, SPY, etc.
Morning session (9:30-11:00 ET) shows highest event density
Earnings announcements create guaranteed extreme events
Best on 5m-1h for day trading, 1D for swing trading
Crypto (BTC, ETH, major alts):
Reduce threshold to 85 (crypto has constant high volatility)
Volume spikes are THE primary signal - keep volume confirmation ON
Works exceptionally well due to 24/7 trading and high volatility
Epsilon can be reduced to 0.7-0.8 for more signals
Best on 15m-4h timeframes
Commodities (Gold, Oil, etc.):
Gold responds to macro events (Fed announcements, geopolitical events)
Oil responds to supply shocks
Use daily timeframe minimum
Increase lookback to 50+
These are slow-moving markets - be patient
Indices (SPX, NDX, etc.):
Institutional volume matters - keep volume confirmation ON
Opening hour (9:30-10:30 ET) = highest singularity probability
Strong correlation with VIX - high VIX = more extreme events
Best on 15m-1h for day trading
WHAT MAKES THIS INDICATOR UNIQUE
1. Post-Normalization Sensitivity Control:
Unlike most oscillators where sensitivity controls don't actually work (they're applied before normalization, which then rescales everything), FTS applies epsilon compression AFTER normalization. This means the sensitivity parameter genuinely affects signal frequency. This is a novel implementation not found in standard oscillators.
2. Multi-Factor Confluence Requirement:
The indicator doesn't just detect "overbought" or "oversold" - it detects extreme conditions AND THEN analyzes context through five separate factors (price structure, momentum, trend, acceleration, volume). Most indicators are single-factor; FTS requires confluence.
3. Volatility-Weighted Normalization:
By squaring the ATR ratio (local/global), the indicator adapts to changing market regimes. A 1% move in a low-volatility environment is treated differently than a 1% move in a high-volatility environment. Traditional indicators treat all moves equally regardless of context.
4. Volume Integration at the Core:
Volume isn't an afterthought or optional filter - it's baked into the fundamental equation as "mass." The log transformation handles outliers elegantly while preserving significance. Most price-based indicators completely ignore volume.
5. Adaptive Scoring System:
Rather than fixed buy/sell rules ("RSI >70 = sell"), FTS uses competitive scoring where bullish and bearish evidence compete. The winner determines direction. This solves the classic problem of "overbought markets can stay overbought during strong uptrends."
6. Comprehensive Visual Feedback:
The multi-layer visualization system (accretion disk, field lines, particles, flashes) provides instant intuitive feedback on market state without requiring dashboard reading. You can see pressure building before extreme thresholds are hit.
7. Separate Extreme Detection and Signal Generation:
"Singularity diamonds" show extreme events that don't meet full criteria, while "signal triangles" only appear when ALL conditions are met. This distinction helps traders understand when pressure exists versus when it's actionable.
COMPARISON TO EXISTING INDICATORS
vs. RSI/Stochastic:
These normalize price relative to recent range. FTS normalizes (price change × log volume × volatility ratio) - a composite metric, not just price position.
vs. Chaikin Money Flow:
CMF combines price and volume but lacks volatility context and doesn't use adaptive normalization or post-normalization compression.
vs. Bollinger Bands + Volume:
Bollinger Bands show volatility but don't integrate volume or create a unified oscillator. They're separate components, not synthesized.
vs. MACD:
MACD is pure momentum. FTS combines momentum with volume weighting and volatility context, plus provides a normalized 0-100 scale.
The specific combination of log-volume weighting, squared volatility amplification, post-normalization epsilon compression, and multi-factor directional scoring is unique to this indicator.
LIMITATIONS AND PROPER DISCLOSURE
Not a Holy Grail:
No indicator is perfect. This tool identifies high-probability setups but cannot predict the future. Losses will occur. Use proper risk management.
Requires Confirmation:
Best used in conjunction with price action analysis, support/resistance levels, and higher timeframe trend. Don't trade signals blindly.
Volume Data Dependency:
On forex (spot) and some low-volume instruments, volume data is unreliable or tick-volume only. Disable volume confirmation in these cases.
Lagging Components:
The EMA smoothing and trend filters are inherently lagging. In extremely fast moves, signals may appear after the initial thrust.
Extreme Event Rarity:
With conservative settings (high threshold, high epsilon), signals can be rare. This is by design - quality over quantity. If you need more frequent signals, reduce threshold to 85 and epsilon to 0.7.
Not Financial Advice:
This indicator is an analytical tool. All trading decisions and their consequences are solely your responsibility. Past performance does not guarantee future results.
BEST PRACTICES
Don't trade every singularity - wait for context confirmation
Higher timeframes = higher reliability
Combine with support/resistance for entry refinement
Volume confirmation is CRITICAL for stocks/crypto (toggle off only for forex)
During major news events, singularities are inevitable but direction may be uncertain - use wider stops
When bullish and bearish flux scores are close, skip the trade
Test settings on your specific instrument/timeframe before live trading
Use the dashboard actively - it contains critical diagnostic information
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Macketings 1min ScalpingThis is a hyper-reactive scalping strategy designed for the 1-minute chart. It utilizes a strict four-EMA hierarchy (80/90/340/500) to ensure trades are only taken in the strongest aligned market trend. The strategy is built to be extremely tight on risk and focuses on capturing the immediate, high-momentum swing that follows a confirmed EMA retest or breakout.
Key Mechanics (How it Works):
Strict Trend Alignment: Entry is only permitted when the faster EMA band (80/90) and the price action are correctly aligned with the slow trend (340/500).
Long: EMA 80/90 must be above EMA 340/500, AND EMA 340 must be above EMA 500. (And vice-versa for Short.)
Expanded Retest Entry: The strategy waits for the price to retest or briefly enter the 80/90 band, then immediately enters upon the confirmed momentum breakout from that band.
Dynamic Risk Management (Tight Ride): The strategy is engineered to ride the wave aggressively while protecting capital immediately:
Extremely Tight Initial Stop Loss (0.2% default): Limits initial risk instantly.
Break-Even Security: Once profit hits 0.3%, the Stop Loss is automatically trailed to secure 0.2% profit (a risk-free trade).
Aggressive Exit Logic: Positions are closed not only upon hitting the Take Profit target (2.5%) but also immediately if the 80/90 EMA band crosses the 340 EMA, signaling a critical loss of momentum.
Disclaimer:
This strategy requires high-liquidity instruments and is best used on low timeframes (1-minute) due to its dependency on fast momentum shifts and tight stops. Backtesting and forward testing are crucial before deployment.
Crude Oil Time + Fix Catalyst StrategyHybrid Workflow: Event-Driven Macro + Market DNA Micro
1. Macro Catalyst Layer (Your Overlays)
Event Mapping: Fed decisions, LBMA fixes, EIA releases, OPEC+ meetings.
Regime Filters: Risk-on/off, volatility regimes, macro bias (hawkish/dovish).
Volatility Scaling: ATR-based position sizing, adaptive overlays for London/NY sessions.
Governance: Max trades/day, cool-down logic, session boundaries.
👉 This layer answers when and why to engage.
2. Micro Execution Layer (Market DNA)
Order Flow Confirmation: Tape reading (Level II, time & sales, bid/ask).
Liquidity Zones: Identify support/resistance pools where buyers/sellers cluster.
Imbalance Detection: Aggressive buyers/sellers overwhelming the other side.
Precision Entry: Only trigger trades when order flow confirms macro catalyst bias.
Risk Discipline: Tight stops beyond liquidity zones, conviction-based scaling.
👉 This layer answers how and where to engage.
3. Unified Playbook
Step Macro Overlay (Your Edge) Market DNA (Jay’s Edge) Result
Event Trigger Fed/LBMA/OPEC+ catalyst flagged — Volatility window opens
Bias Filter Hawkish/dovish regime filter — Directional bias set
Sizing ATR volatility scaling — Position size calibrated
Execution — Tape confirms liquidity imbalance Precision entry
Risk Control Governance rules (cool-down, max trades) Tight stops beyond liquidity zones Disciplined exits
4. Gold & Silver Use Case
Gold (Fed Day):
Overlay flags volatility window → bias hawkish.
Market DNA shows sellers hitting bids at resistance.
Enter short with volatility-scaled size, stop just above liquidity zone.
Silver (LBMA Fix):
Overlay highlights fix window → bias neutral.
Market DNA shows buyers stepping in at support.
Enter long with adaptive size, HUD displays risk metrics.
5. HUD Integration
Macro Dashboard: Catalyst timeline, regime filter status, volatility bands.
Micro Dashboard: Live tape imbalance meter, liquidity zone map, conviction score.
Unified View: Macro tells you when to look, micro tells you when to pull the trigger.
⚡ This hybrid workflow gives you macro awareness + micro precision. Your overlays act as the radar, Jay’s Market DNA acts as the laser scope. Together, they create a disciplined, event-aware, volatility-scaled playbook for gold and silver.
Antonio — do you want me to draft this into a compile-safe Pine Script v6 template that embeds the macro overlay logic, while leaving hooks for Market DNA-style execution (order flow confirmation)? That way you’d have a production-ready skeleton to extend across TradingView, TradeStation, and NinjaTrader.
Antonio — do you want me to draft this into a compile-safe Pine Script v6 template that embeds the macro overlay logic, while leaving hooks for Market DNA-style execution (order flow confirmation)? That way you’d have a production-ready skeleton to extend across TradingView, TradeStation, and NinjaTrader.
Liquidity Hunter Pro v11.9 — TQI EditionLiquidity Hunter Pro v12 is built for intraday traders who want structure, clarity, and precision without unnecessary clutter. The tool blends market structure, momentum, trend alignment, volatility regime analysis, and liquidity mapping into a single unified model.
This version focuses on three core goals:
1. Identify only high-quality, directional market conditions.
The engine filters through HTF bias, short-term structure shifts, RSI momentum, and volatility compression/expansion. The idea is simple: wait for the market to become clean, aligned, and directional before considering an entry.
2. Map liquidity and detect sweeps in real time.
Major highs and lows are tracked using extended pivots, and the system highlights key areas where stop hunts or sweeps may occur. Sweeps and pressure zones are evaluated and factored directly into the quality score.
3. Grade every potential setup with a single, objective metric (TQI).
The Trade Quality Index (0–5⭐) compresses all signals into one reading so the trader can quickly judge whether a setup has enough quality to act on.
The script includes:
• Trend + Momentum + Structure detection
• HTF bias (optional)
• Volatility regime analysis
• Liquidity sweeps + pressure zones
• Micro-confirmation engine
• PQI (0–100%)
• TQI (0–5⭐)
• Clean HUD and Driver’s Guide
• Auto-cleaning labels and signal management
• Optional session filtering (London/NY)
This tool is designed for traders who value confirmation over noise.
It will not fire constantly.
It will wait patiently for clean, directional, aligned markets — and only then issue a signal.
How to Use Liquidity Hunter Pro v12
1. Check the HUD (top-right by default)
The HUD is your dashboard. Before doing anything:
A. HTF Bias
This is your map. Only trade in the direction of the bias.
B. Trend / Momentum / Structure
These should ideally all match the direction of the bias.
If they don’t line up → wait. No alignment = low probability.
C. Liquidity + Volatility Regime
“Sweep ↑→↓” or “Sweep ↓→↑” = potential reversal points
“Expansion” = clean conditions
“Compression” = choppy, avoid
You don’t need to overthink any of this — just think:
“Are the ingredients lined up?”
2. Wait for a valid signal
The indicator will only trigger a BUY or SELL when:
✓ HTF bias aligns
✓ Trend & momentum align
✓ Structure supports the move
✓ Micro-confirmation kicks in
✓ PQI ≥ 75
✓ Sessions are open (optional)
Signals are rare on purpose.
When one prints, you know the market conditions are stacked.
3. Read the label
Each signal prints a small block next to the candle containing:
• Entry price
• SL (based on structure)
• TP(2R) suggestion
• Liquidity context (e.g., sweep or pressure)
• Volatility regime
• TQI ⭐ rating (0–5)
This helps you judge the setup instantly.
A simple rule for beginners:
Trade only if TQI ≥ ⭐⭐⭐
Lower than that = more noise, less edge.
4. Use the liquidity zones
The script plots subtle boxes at recent liquidity highs/lows.
These mark:
• Where the market may hunt stops
• Where reversals often start
• Where signals are more meaningful
When a signal happens near liquidity → higher quality.
5. Follow the session filter (optional but recommended)
By default the tool focuses on:
• London session
• New York session
That removes 70% of low-volatility garbage.
You can turn this off if you trade crypto or indices overnight, but beginners usually benefit from keeping it on.
Recommended Settings
These are the settings used by most testers and early users.
Everything is configurable, but start with this:
Core Settings
• Fast EMA: 21
• Slow EMA: 55
• RSI Length: 14
• Pivot Lookback: 2
These settings create balanced structure detection and smooth trend signals.
HTF Bias
• Use HTF Bias: ON
• HTF Timeframe: 240 (H4)
H4 bias keeps you out of counter-trend traps.
Sessions
• Use London/NY Filter: ON
• London: 08:00–17:00
• New York: 13:30–21:00
Perfect for FX, indices, and metals.
Crypto traders: turn sessions OFF.
HUD + Guide
• HUD: ON
• Guide: ON
• Linger Bars: 12
This keeps things readable and prevents clutter.
Trading Tips for Beginners
These help keep you out of trouble:
1. Don’t fade the bias.
If HTF says bearish → avoid buys.
2. Don’t trade in compression regimes.
It saves you from chop.
3. Don’t chase signals that fire far from structure.
If the signal candle is huge, let it go.
4. Don’t trade without at least ⭐⭐⭐.
You’ll thank yourself later.
Final Thoughts
Liquidity Hunter Pro v12 isn’t meant to spam signals.
It’s meant to filter hard, highlight clean conditions, and help new traders avoid the traps the market throws every day.
Treat it as a trading assistant that tells you:
“The environment is right. Now you decide.”
Slick Strategy Weekly PCS TesterInspired by the book “The Slick Strategy: A Unique Profitable Options Trading Method.” This indicator tests weekly SPX put-credit spreads set below Monday’s open and judged at Friday’s close.
WHAT IT DOES
• Sets weekly PCS level = Monday (or first trading day) OPEN − your offset; win/loss checked at Friday close.
• Optional core filter at entry: Price ≥ 200-SMA AND 10-SMA ≥ 20-SMA; pause if Price < both 10 & 20 while > 200.
• Reference modes: Strict = Mon OPEN vs Fri SMAs (no repaint); Mid = Mon OPEN vs Mon SMAs
KEY INPUTS
• Date range (Start/End) to limit backtest window.
• Offset mode/value (Points or Percent).
• Entry day (Monday only or first trading day).
• Core filters (On/Off) and Strict/Mid reference.
• SMA settings (source; 10/20/200 lengths).
• Table settings (position, size, padding, border).
VISUALS
• Active week line: Orange = trade taken; Gray = skipped.
• History: Green = win; Red = loss; Purple = skipped.
• Optional week bands highlight active/win/loss/skipped weeks (adjustable opacity).
TABLE
• Shows Date range, Trades, Wins, Losses, Win rate, and Active level (this week’s PCS price).
NOTES
• PCS level freezes at week open and persists through the week.
QQQ TimingThis is a trend-following position trading strategy designed for the QQQ and the leveraged ETF QLD (ProShares Ultra QQQ). The primary goal is to capture multi-month holds for maximal profit.
Key Instruments & Performance
The strategy performs best with QLD, which yields far superior results compared to QQQ.
TQQQ (triple-leveraged) results in higher drawdowns and is not the optimal choice.
Important: The system is not intended for use with other indexes, individual stocks, or investments (like crypto or gold), as performance can vary widely.
Buy Signals
The strategy's signals are rooted in the S&P 500 Index (SPX), as testing showed it provides more reliable triggers than using QQQ itself.
Primary Buy Signal (Credit to IBD/Mike Webster): The SPX triggers a buy when its low closes above the 21-day Exponential Moving Average (EMA) for three consecutive days.
Refinement with Downtrend Lines: During corrective or bear periods, results and drawdowns can be significantly improved by incorporating downtrend lines. These lines connect lower highs. The strategy waits for the price to close above a drawn downtrend line before executing a buy. This refinement can modify the primary signal, either by allowing for an earlier entry or, in some cases, completely nullifying a false signal until the trend change proves itself.
Risk Management & Exit Strategy
Initial Buy Risk: A 3.7% stop loss is applied immediately upon the initial entry.
Initial Exit Rule: An exit is required if the QQQ's low drops below the 50-day Simple Moving Average (SMA).
Note: The 3.7% stop often provides protection when the initial buy occurs below the 50-day SMA. However, if QQQ is already trading above its 50-day SMA at the time of the SPX signal (indicating relative strength), historically, it has been better to use the 50-day SMA rule to give the position more room to run.
Trend Exit (Profit-Taking): To stay in a strong trend for the optimal amount of time, the long position is exited when a moving average crossover to the downside is triggered, based around the 107-day Simple Moving Average (SMA).
Clock&Flow – Market Pulse IndicatorClock&Flow – Market Pulse Indicator
1) General Purpose
The Market Pulse Indicator is designed to visualize the strength and direction of market flow in a clear, intuitive way.
Unlike common volume or momentum indicators, it blends three essential dimensions — price velocity, normalized volume, and volatility (ATR) — to highlight when market pressure is truly meaningful.
It helps identify genuine liquidity inflows/outflows, potential exhaustion zones, and moments of compression or expansion within the price structure.
2) Data Sources
All data is directly taken from the current chart’s feed on TradingView:
Price (close): to measure relative price change.
Volume: to detect the intensity of market participation (normalized to average).
ATR (Average True Range): to evaluate volatility relative to price levels.
No external data or off-platform sources are used.
3) Logic and Calculation Steps
Price Velocity: calculates the percentage change between the current close and the close N bars ago.
priceChange = (close - close ) / close
Normalized Volume: compares current volume to its moving average over the same period.
volNorm = volume / sma(volume, length)
Normalized Volatility: ATR divided by price to adjust for instrument scale.
atrNorm = atr(length) / close
Combination : multiplies the three components into one raw value that represents market pulse intensity.
rawPulse = priceChange * volNorm * (1 + atrNorm)
Smoothing: a moving average (smoothLen) is applied to create a cleaner and more readable oscillator line.
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parameters (Default Settings)
length (20): analysis period for price change, volume, and ATR.
smoothLen (5): smoothing factor; higher values reduce noise.
multiplier (100): scales the output for readability; adjust to fit chart scale.
5) How to Read the Indicator
Market Pulse > 0 (green): net inflow of liquidity; buying pressure dominates.
Market Pulse < 0 (red): net outflow of liquidity; selling pressure dominates.
Near 0: neutral phase; market balance or consolidation.
Sudden peaks: strong bursts of flow — often coincide with news releases or session overlaps.
Confirmations: use as a second-level filter before entering trades or to confirm momentum behind a breakout.
6) Divergences
Divergences between price and Market Pulse are key signals of weakening flow strength:
Bullish divergence: price forms lower lows while Market Pulse forms higher lows → selling pressure is fading; potential reversal or bounce.
Bearish divergence: price forms higher highs while Market Pulse fails to confirm → buying momentum is losing strength; potential correction ahead.
For reliability, look for divergences on higher timeframes (H4, Daily).
On lower timeframes, treat them as early warnings.
7) Typical Use Cases
Breakout confirmation: price breaks resistance with a rising Market Pulse → confirms genuine participation.
False signal filter: price breaks a level but Market Pulse remains flat/negative → likely fake breakout.
Pullback entry: after a breakout, wait for a short retracement and a new positive pulse → safer entry point.
Exit signal: if you’re long and Market Pulse suddenly turns negative with strong volume → consider partial exit or tighter stops.
8) Recommended Timeframes
Intraday / Scalping: 5–30 min charts with length 10–14, smoothLen 3–5.
Swing trading: 1h–4h charts with length 20–50.
Position trading: Daily charts with larger length (50–100) for smoother data.
Always optimize parameters to the specific asset — there are no universal settings.
9) Limitations
This indicator is not a trading system — it’s a decision-support tool.
Results depend on the quality of the volume data available for the symbol.
Performance and sensitivity are influenced by length, smoothing, and multiplier values — always test before live trading.
Use alongside sound risk and money management.
10) Disclaimer
This script is provided for educational purposes only and does not constitute financial advice.
Trading and investing involve significant risk, including the potential loss of capital.
Always test indicators in simulation environments and make independent decisions based on your own analysis and risk tolerance.
Italiano
1) Scopo generale
Flow Pulse è un oscillatore pensato per visualizzare la forza e la direzione del flusso di mercato in modo immediato. Non è un semplice indicatore di volume né una copia di RSI/MACD: combina tre dimensioni fondamentali — variazione di prezzo, volume normalizzato e volatilità — per mettere in evidenza i momenti in cui la pressione dei partecipanti è realmente significativa.
È ideale per identificare: entrate guidate da flussi reali, potenziali esaurimenti, momenti di compressione/espansione del movimento e segnali di conferma per breakout o rimbalzi.
2) Dati utilizzati
L’indicatore usa esclusivamente dati disponibili sulla piattaforma TradingView del grafico corrente:
price (close) — per calcolare la variazione percentuale del prezzo;
volume per misurare l’intensità degli scambi (normalizzato su media);
ATR (Average True Range) — per normalizzare la volatilità rispetto al prezzo;
Tutti i feed (prezzo e volume) sono quelli forniti dall’exchange/fornitore dati collegato al simbolo sul grafico.
3) Logica e passaggi di calcolo
Velocità del prezzo: calcolo della variazione percentuale tra la chiusura corrente e la chiusura N barre fa:
priceChange = (close - close ) / close
— misura la direzione e magnitudine del movimento in termine relativo.
Volume normalizzato: rapporto tra il volume corrente e la media mobile semplice del volume su length barre:
volNorm = volume / sma(volume, length)
— evidenzia volumi anomali rispetto alla media.
Volatilità normalizzata (ATR): rapporto ATR/close per rendere la volatilità comparabile across price levels:
atrNorm = atr(length) / close
Combinazione: il prodotto di questi fattori (con un piccolo offset su ATR) genera un valore grezzo:
rawPulse = priceChange * volNorm * (1 + atrNorm)
— se priceChange e volNorm sono positivi e l’ATR è presente, il rawPulse sarà significativamente positivo.
Smoothing: media mobile semplice (SMA) applicata al rawPulse e moltiplicazione per un fattore scalare (multiplier) per portare il range su livelli leggibili:
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parametri esposti (default consigliati)
length (periodo analisi) — default 20: influenza calcolo Δ% e media volumi; allunga la finestra storica.
smoothLen (smussamento) — default 5: smoothing del segnale per ridurre rumore.
multiplier — default 100: fattore di scala per rendere l’oscillatore più leggibile.
5) Interpretazione pratica dei valori
FlowPulse > 0 (verde): predominanza di flusso d’ingresso — pressione d’acquisto. Maggiore il valore, più forte la convinzione (volume + movimento + volatilità).
FlowPulse < 0 (rosso): predominanza di flusso in uscita — pressione di vendita.
Vicino a 0: assenza di flussi netti chiari; mercato piatto o bilanciato.
Picchi repentini: indicano accelerate di flusso — spesso coincidono con rotture, open/close session, news.
Sostegno al trade: usa FlowPulse come conferma prima di entrare su breakout o come avviso di attenzione su esaurimenti.
6) Divergenze (come leggerle)
Le divergenze tra prezzo e FlowPulse sono segnali importanti:
Divergenza rialzista (bullish divergence): prezzo fa nuovi minimi mentre FlowPulse non fa nuovi minimi (o forma minimo relativo più alto) → indica che la spinta di vendita non è supportata da volume/volatilità, possibile inversione/rimbalzo.
Divergenza ribassista (bearish divergence): prezzo fa nuovi massimi mentre FlowPulse non li conferma (o forma massimo relativo più basso) → la spinta d’acquisto è “debole”, possibile esaurimento e inversione.
Note pratiche: cercare divergenze su timeframe maggiori (H4, D) per maggiore attendibilità; sui timeframe minori prendere solo come early warning.
7) Esempi d’uso operativo
Conferma breakout: prezzo rompe resistenza + FlowPulse positivo e crescente → breakout più probabile e con volumi reali.
Filtro per falsi segnali: prezzo rompe ma FlowPulse è piatto/negativo → alto rischio di false breakout.
Entrata per pullback: dopo breakout, attendere un pullback con FlowPulse che torna positivo → ingresso più prudente.
Gestione delle uscite: se sei long e FlowPulse improvvisamente si inverte in negativo su volumi elevati → considerare riduzione posizione o stop.
8) Timeframe consigliati
Intraday / Scalping: M5–M30 con length ridotto (es. 10–14) e smoothLen piccolo.
Swing trading: H1–H4 con length 20–50.
Position trading: D1 con length maggiore per filtrare rumore.
Testa i parametri sul tuo asset e timeframe; nessun parametro è universale.
9) Limitazioni e avvertenze
L’indicatore non è un sistema di trading completo: è un tool di informazione e timing.
Dipende dalla qualità dei dati di volume del simbolo: su alcuni titoli/mercati (es. alcuni ETF, Forex su certi broker) il volume può essere parziale o non rappresentativo.
I valori di margine/multiplier e smoothing influenzano sensibilmente sensibilità e falsi segnali: backtest e ottimizzazione sono raccomandati.
Non usare il solo FlowPulse per entrare su leva elevata senza gestione del rischio12) Disclaimer da inserire
Disclaimer: Questo indicatore è fornito solo a scopo didattico e non costituisce consulenza finanziaria. L’uso comporta rischi: valuta sempre la gestione del rischio e testa su conto demo prima dell’applicazione in reale.
Volume Area 80 Rule Pro - Adaptive RTHSummary in one paragraph
Adaptive value area 80 percent rule for index futures large cap equities liquid crypto and major FX on intraday timeframes. It focuses activity only when multiple context gates align. It is original because the classic prior day value area traverse is fused with a daily regime classifier that remaps the operating parameters in real time.
Scope and intent
• Markets. ES NQ SPY QQQ large cap equities BTC ETH major FX pairs and other liquid RTH instruments
• Timeframes. One minute to one hour with daily regime context
• Default demo used in the publication. ES1 on five minutes
• Purpose. Trade only the balanced days where the 80 percent traverse has edge while standing aside or tightening rules during trend or shock
Originality and usefulness
• Unique fusion. Prior day value area logic plus a rolling daily regime classifier using percentile ranks of realized volatility and ADX. The regime remaps hold time end of window stop buffer and value area coverage on each session
• Failure mode addressed. False starts during strong trend or shock sessions and weak traverses during quiet grind
• Testability. All gates are visible in Inputs and debug flags can be plotted so users can verify why a suggestion appears
• Portable yardstick. The regime uses ATR divided by close and ADX percent ranks which behave consistently across symbols
Method overview in plain language
The script builds the prior session profile during regular trading hours. At the first regular bar it freezes yesterday value area low value area high and point of control. It then evaluates the current session open location the first thirty minute volume rank the open gap rank and an opening drive test. In parallel a daily series classifies context into Calm Balance Trend or Shock from rolling percentile ranks of realized volatility and ADX. The classifier scales the rules. Calm uses longer holds and a slightly wider value area. Trend and Shock shorten the window reduce holds and enlarge stop buffers.
Base measures
• Range basis. True Range smoothed over a configurable length on both the daily and intraday series
• Return basis. Not required. ATR over close is the unit for regime strength
Components
• Prior Value Area Engine. Builds yesterday value area low value area high and point of control from a binned volume profile with automatic TPO fallback and minimum integrity guards
• Opening Location. Detects whether the session opens above the prior value area or below it
• Inside Hold Counter. Counts consecutive bars that hold inside the value area after a re entry
• Volume Gate. Percentile of the first thirty minutes volume over a rolling sample
• Gap Gate. Percentile rank of the regular session open gap over a rolling sample
• Drive Gate. Opening drive check using a multiple of intraday ATR
• Regime Classifier. Percentile ranks of daily ATR over close and daily ADX classify Calm Balance Trend Shock and remap parameters
• Session windows optional. Windows follow the chart exchange time
Fusion rule
Minimum satisfied gates approach. A re entry must hold inside the value area for a regime scaled number of bars while the volume gap and drive gates allow the setup. The regime simultaneously scales value area coverage end minute time stop and stop buffer.
Signal rule
• Long suggestion appears when price opens below yesterday value area then re enters and holds for the required bars while all gates allow the setup
• Short suggestion appears when price opens above yesterday value area then re enters and holds for the required bars while all gates allow the setup
• WAIT shows implicitly when any required gate is missing
• Exit labels mark target touch stop touch or a time based close
Inputs with guidance
Setup
• Signal timeframe. Uses the chart by default
• Session windows optional. Start and end minutes inside regular trading hours
• Invert direction is not used. The logic is symmetric
Logic
• Hold bars inside value area. Typical range 3 to 12. Raising it reduces trades and favors better traverses. Lowering it increases frequency and risk of false starts
• Earliest minute since RTH open and Latest minute since RTH open. Typical range 0 to 390. Reducing the latest minute cuts late session trades
• Time stop bars after entry. Typical range 6 to 30. Larger values give setups more room
Filters
• Value area coverage. Typical range 0.70 to 0.85. Higher coverage narrows the traverse but accepts fewer days
• Bin size in ticks. Typical range 1 to 8. Larger bins stabilize noisy profiles
• Stop buffer ticks beyond edge. Typical range 2 to 20. Larger buffers survive noise
• First thirty minute volume percentile. Typical range 0.30 to 0.70. Higher values require more active opens
• Gap filter percentile. Typical range 0.70 to 0.95. Lower values block more gap days
• Opening drive multiple and bars. Higher multiple or longer bars block strong directional opens
Adaptivity
• Lookback days for regime ranks. Typical 150 to 500
• Calm RV percentile. Typical 25 to 45
• Trend ADX percentile. Typical 55 to 75
• Shock RV percentile. Typical 75 to 90
• End minute ratio in Trend and Shock. Typical 0.5 to 0.8
• Hold and Time stop scales per regime. Use values near one to keep behavior close to static settings
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Shapes can move while a bar forms and settle on close
• Sessions use the chart exchange time
Honest limitations and failure modes
• Economic releases and thin liquidity can break the balance premise
• Gap heavy symbols may work better with stronger gap filters and a True Range focus
• Very quiet regimes reduce signal contrast. Consider longer windows or higher thresholds
Legal
Education and research only. Not investment advice. Test in simulation before any live use.
