Session Sweep Strategy V3Johannes Spezial FVG Indikator :-) zur erkennung von FVG zu definierbaren Sessionzeiten.
지표 및 전략
USD Liquidity Regime IndexTrack global risk regimes with this USD Liquidity Composite —
It aims to be a daily macro indicator blending normalised DXY (50%), UUP (20%), 10Y Treasury yields (20%), and VIX (10%).
How to read:
When the blue index is above its red SMA: Strong USD, tightening liquidity → Risk-Off mode (often bearish for Nasdaq, BTC, and risk assets).
When the line is below: Weak USD, abundant liquidity → Risk-On (bullish environment).
Example: In 2022's bear market, the index stayed high above SMA most of the year, signalling persistent Risk-Off as USD surged.
Features on-chart table, regime background colors, and crossover alerts.
Great contextual tool for macro traders IMO.
Educational only — not financial advice.
Use at your own risk.
By @frank_vergaram
NY LONDON LUNCH AUTO**NY London Lunch Auto** is a precision session-anchor indicator designed for traders who focus on institutional timing and liquidity behavior.
This script automatically marks the **high and low of three key 15-minute New York session candles**:
• **3:00 AM NY** — London session expansion
• **8:00 AM NY** — New York open / kill zone
• **2:00 PM NY** — NY lunch / power hour transition
Each time one of these candles prints on the **15-minute chart**, the script captures its exact high and low and extends them forward as horizontal levels.
The levels remain **locked and unchanged** until the next key session candle appears, ensuring clean, non-repainting reference zones.
### Key Features
• Works **exclusively on the 15-minute timeframe**
• Automatically updates at **3AM, 8AM, and 2PM NY time**
• Levels stay fixed — no drifting or recalculation
• Clean, minimal design with customizable colors
• Ideal for liquidity sweeps, displacement, and ICT-style execution models
This indicator is built for traders who want **clarity, patience, and structure**, not clutter. It pairs seamlessly with liquidity sweep, displacement, and fair value gap strategies.
Optimized 1st Touch 10SMA After RunThis indicator is designed to identify strong stocks that have recently made a meaningful rally and are now experiencing their first controlled pullback to the 10-day simple moving average (10SMA). It scans for stocks that have moved at least 10% over the past 10 trading days, maintained upward momentum by riding above the 10SMA during the advance, and are trading within a broader uptrend. The signal triggers only when price makes its first touch of the 10SMA since the rally and closes back above it, indicating potential support and trend continuation rather than weakness. Additional filters such as volume contraction and higher-timeframe trend alignment help isolate high-quality setups where strong stocks are digesting gains before a potential next leg higher.
SMI Trigger System - Lower - NPR21/ChatGPTSMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
Sustained 200 SMA Cross (Locked to Daily)For individuals looking to track trend changes against the 200 day simple moving average. We are measuring 5 consecutive days changing from the above or below the 200 day SMA as a flag for a potential shift in trend.
SMI Trigger System SMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
Wavelet Candlestick Slope Follower-Master Edition Here is a short description of this script:
This is a **Trend Following strategy** that utilizes advanced mathematics—the **Wavelet Transform**—to filter out market noise.
**Key Features:**
1. **Synthetic Candles:** The script does not analyze raw prices. Instead, it constructs "Wavelet Candles"—smoothed candles created through mathematical convolution of prices with a specific wavelet "kernel" (e.g., Mexican Hat, Morlet, Haar).
2. **Auto-Correction (Normalization):** This is the most critical technical feature of this code. The script automatically normalizes the weights. This ensures that even when using complex mathematical shapes (like the Mexican Hat), the output price remains accurate to the real chart scale and is not distorted.
3. **Strategy Logic:** The logic is very straightforward—the system enters a **Long** position when the smoothed closing price (`w_close`) is rising, and closes the position when it starts to fall.
4. **Visualization:** It draws new, cleaner candles (green/red) on the chart, revealing the "true" trend structure after filtering out temporary fluctuations.
This is a example of use idea of wavelet candle
HydraBot v1.2average bias of a bunch of indicators that blah blah blah i need to hit at least so many words to publish this
Daily Dynamic Grid StrategyHi everyone,
This strategy is built around a dynamic daily grid concept, using an upper and lower daily range that is automatically divided into multiple grid levels.
The idea is to take advantage of daily volatility by executing DCA entries on specific grid levels, based on predefined conditions.
Key points of the strategy & feature:
I recommend using 1H or 2H timeframe for this strategy
Take profit by grid
When DCA is active (>1 entry), the exit condition switches to close above the average price
A hard stop loss is applied
Includes an optional Trailing TP / SL to help maximize profit during strong moves
Like most DCA-based strategies, it tends to have a high win rate, but during strong market dumps, losses can become relatively large
Can also be used for backtest on Forex markets such as Gold, where using the trailing option is generally more effective
And still trial for the webhook, may continue to improve and update this strategy in future versions.
NY Session Range & FlowNY Session Range & Flow is a rule-based intraday futures indicator designed for the New York session, with a focus on MNQ / NQ price behavior.
This indicator does not predict the market. Instead, it maps context, structure, and flow so traders can make disciplined decisions with predefined risk.
🔍 Core Concepts
NY Session Range & Flow combines:
Session structure
Range usage (ADR / AWR)
VWAP positioning & slope
Liquidity sweeps
Supply & Demand zones
Opening Range Breakouts
Mean reversion vs trend continuation logic
All signals are graded and throttled to reduce noise and overtrading.
📌 What the Indicator Shows
🕒 Session Logic (NY Time)
RTH (09:30–16:00 NY)
Trade windows (AM / PM)
Opening Range (09:30–09:45)
ETH session ranges (for context only)
📊 Range & Regime Awareness
ADR / AWR usage
Identifies expansion vs exhaustion
Helps avoid trading when range is already spent
📉 Flow & Bias
VWAP with optional ATR bands
VWAP slope filter for directional bias
Mean reversion distance rules
🧲 Liquidity & Structure
Prior Day High / Low
NY High / Low / Mid
Opening Range High / Low
Liquidity sweep detection
📦 Supply & Demand Zones
Higher-timeframe pivot-based zones
ATR-adjusted zone thickness
Last active zone tracking
🎯 Signal Types (Graded)
Trend Continuation
Sweep Reversal
Opening Range Breakout (ORB)
Mean Reversion to VWAP
Each signal is scored and graded (A+ → C) based on:
Structure
Liquidity
VWAP alignment
Regime context
Only signals that meet your selected quality threshold are displayed.
⚖️ Risk Visualization
Fixed Stop Loss & Take Profits in ticks
Supports SL + TP1 + TP2
Optional ATR trailing structure
Visual SL/TP lines for clarity (manual execution)
This is a decision-support tool, not an auto-trading system.
📋 Range Usage Table
Displays real-time usage for:
RTH
ETH
Weekly
Monthly ranges
Color-coded to highlight expansion and exhaustion.
⚠️ Important Notes
Designed for manual trading
Best suited for futures traders
Optimized for MNQ / NQ, but adaptable
Not financial advice
🔧 Recommended Use
Combine with strict risk management
One trade at a time
Respect session context and range limits
CT Market Fragility & Systemic Risk Monitor v1.0CT ⊕ Market Fragility & Systemic Risk Monitor v1.0
Systemic Stress & Market Regime Monitor
OVERVIEW
Wall Street-grade structural monitoring now open-source.
CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 is a real-time systemic risk tool designed to detect fragility before it hits price. Built by former institutional traders, it delivers structural insight typically reserved for desks inside hedge funds and global macro desks.
This isn’t about finding entries or exits, it’s about understanding the environment you're trading in, and recognizing when it's shifting.
WHAT IT DOES
• Monitors six key market domains: Equities, Rates/Credit, FX (USD stress), Commodities, Crypto, and Macro
• Detects volatility stress, cross-domain coupling, and regime synchronization
• Classifies market structure into Normal → Fragile → Critical
• Shows a live dashboard with scores, coupling levels, and structural state
• Plots event markers (T1, T2, T3) for structural transitions
• Implements hysteresis logic to model post-stress 'memory
• Supports both single-domain ("Local Mode") and system-wide monitoring
HOW IT WORKS
This engine does not rely on traditional TA. No moving averages. No MACD. No patterns. No guesswork.
Instead, it measures how markets are behaving beneath price detecting when stress is:
• Building internally
• Spreading across domains
• Synchronizing into systemic fragility
T1 (🟠) — Early instability: acceleration in market coupling
T2 (🔵) — Fragile regime: multiple domains simultaneously stressed
T3 (🔴) — Critical regime: synchronized, system-wide stress
These are not buy/sell signals. They are structural regime alerts, the same kind used by institutions to cut risk before stress cascades.
WHY IT MATTERS
Most retail tools are reactive. They interpret surface-level patterns after the move.
This tool is different. It’s proactive – measuring pressure before it breaks structure.
Institutions have used structural fragility models like this for years. This script helps close that gap, giving everyday traders the same early warnings that pros use to reduce exposure and sidestep systemic blowups.
It’s not about finding the edge.
It’s about not getting crushed when the system breaks.
Whether you trade crypto, stocks, FX, or macro, this engine helps answer:
• Is the system stable right now?
• Are stress levels rising across markets?
• Is it time to tighten risk?
Institutions don’t wait for breakouts. They monitor structure.
Now, you can too.
KEY FEATURES
• Works on any asset class and any timeframe
• Fully customizable domain selection
• Three-tier structural alert system (T1–T3)
• Real-time dashboard: stress scores, states, and coupling levels
• Hysteresis modeling: post-stress “memory” detection
• Supports single-domain (local) or multi-domain (systemic) monitoring
• PineScript alerts built-in
RECOMMENDED USE
Active traders - all asset classes
Use the dashboard and T1–T3 alerts to stay aware of structural risk in real time.
Track multi-timeframe alignment to detect where risk originates and how it spreads across markets.
Crypto trader s
Monitor upstream domains (Equities, FX, Rates, Macro) to detect pressure before it reaches crypto.
Identify reflexive stress before Bitcoin reacts — and stay ahead of contagion events.
Macro & systematic traders
Use T1–T3 transitions as volatility filters, exposure governors, or dynamic risk overlays.
Build regime-aware models that adapt to shifting systemic conditions.
Examples & Visuals
Question: Would it have helped to know that at 9:30 on October 9th and again at 10:00 on October 10th that critical states were detected in the structural behavior of Bitcoin? Take a look:
30 min chart BTC shows two distinct T3 (critical) regime detections October 9th and 10:30 October 10th
5m BTC chart reveals high frequency instability for the same period, identifying instability, fragility, criticality
The 30minute BTC chart at 16:30 Friday October 10th,, a few hours after first detecting critical systemic risk
RISK DISCLAIMER
This is a structural analysis tool, not a predictive signal. It does not provide financial advice, trade entries, or forecasts. Use at your own risk. Full disclaimer embedded in the script.
Complexity Trading - From Wall St to Main St
No patterns. No repainting. No mysticism. Just logic, math, science and market structure - now made accessible to everyone.
Developer of LPPL Critical Pulse (LPPLCP), the Temporal Phase Model (TPM) and other
other advanced structural and attractor based systems inspired by Sornette’s LPPL framework and other differentiated thinkers.
Note on Methodology
This tool is not predictive, and not designed for academic publication.
It is a real-time structural monitoring system inspired by academically established concepts,
including LPPL attractor dynamics, cross-asset coupling, reflexivity, and phase regime transitions, implemented within the real-time constraints of PineScript, and intended for visual, exploratory, and diagnostic use.
Kriptano short sniperKriptano short sniper
An indicator for finding SHORT entry points after sharp price movements in the cryptocurrency market.
Features:
Pump Detector: Automatically detects price spikes on 15m, 30m, and 1h intervals with customizable thresholds.
Resistance Levels: Dynamic lines on 7 timeframes (5m-1W) with automatic deletion after a breakout.
Volume Profile: Volume distribution by price levels with a sentiment profile (bullish/bearish zones). Can help identify pump reversal points.
Kriptano short sniper
Индикатор для поиска точек входа в SHORT после резких ценовых движений на криптовалютном рынке.
Возможности:
Детектор пампа: автоматическое выявление скачков цены на интервалах 15m, 30m, 1h с настраиваемыми порогами
Уровни сопротивления: динамические линии с 7 таймфреймов (5m-1W) с автоудалением после пробития
Volume Profile: распределение объема по ценовым уровням с профилем настроений (бычьи/медвежьи зоны). Может помочь в определении точки разворота пампа.
Wavelet Candle Constructor (Inc. Morlet) 2Here is the detailed description of the **Wavelet Candle** construction principles based on the code provided.
This indicator is not a simple smoothing mechanism (like a Moving Average). It utilizes the **Discrete Wavelet Transform (DWT)**, specifically the Stationary variant (SWT / à Trous Algorithm), to separate "noise" (high frequencies) from the "trend" (low frequencies).
Here is how it works step-by-step:
###1. The Wavelet Kernel (Coefficients)The heart of the algorithm lies in the coefficients (the `h` array in the `get_coeffs` function). Each wavelet type represents a different set of mathematical weights that define how price data is analyzed:
* **Haar:** The simplest wavelet. It acts like a simple average of neighboring candles. It reacts quickly but produces a "boxy" or "jagged" output.
* **Daubechies 4:** An asymmetric wavelet. It is better at detecting sudden trend changes and the fractal structure of the market, though it introduces a slight phase shift.
* **Symlet / Coiflet:** More symmetric than Daubechies. They attempt to minimize lag (phase shift) while maintaining smoothness.
* **Morlet (Gaussian):** Implemented in this code as a Gaussian approximation (bell curve). It provides the smoothest, most "organic" effect, ideal for filtering noise without jagged edges.
###2. The Convolution EngineInstead of a simple average, the code performs a mathematical operation called **convolution**:
For every candle on the chart, the algorithm takes past prices, multiplies them by the Wavelet Kernel weights, and sums them up. This acts as a **digital low-pass filter**—it allows the main price movements to pass through while cutting out the noise.
###3. The "à Trous" Algorithm (Stationary Wavelet Transform)This is the key difference between this indicator and standard data compression.
In a classic wavelet transform, every second data point is usually discarded (downsampling). Here, the **Stationary** approach is used:
* **Level 1:** Convolution every **1** candle.
* **Level 2:** Convolution every **2** candles (skipping one in between).
* **Level 3:** Convolution every **4** candles.
* **Level 4:** Convolution every **8** candles.
Because of this, **we do not lose time resolution**. The Wavelet Candle is drawn exactly where the original candle is, but it represents the trend structure from a broader perspective. The higher the `Decomposition Level`, the deeper the denoising (looking at a wider context).
###4. Independent OHLC ProcessingThe algorithm processes each component of the candle separately:
1. Filters the **Open** series.
2. Filters the **High** series.
3. Filters the **Low** series.
4. Filters the **Close** series.
This results in four smoothed curves: `w_open`, `w_high`, `w_low`, `w_close`.
###5. Geometric Reconstruction (Logic Repair)Since each price series is filtered independently, the mathematics can sometimes lead to physically impossible situations (e.g., the smoothed `Low` being higher than the smoothed `High`).
The code includes a repair section:
```pinescript
real_high = math.max(w_high, w_low)
real_high := math.max(real_high, math.max(w_open, w_close))
// Same logic for Low (math.min)
```
This guarantees that the final Wavelet Candle always has a valid construction: wicks encapsulate the body, and the `High` is strictly the highest point.
---
###Summary of ApplicationThis construction makes the Wavelet Candle an **excellent trend-following tool**.
* If the candle is **green**, it means that after filtering the noise (according to the selected wavelet), the market energy is bullish.
* If it is **red**, the energy is bearish.
* The wicks show volatility that exists within the bounds of the selected decomposition level.
Here is a descriptive comparison of **Wavelet Candles** against other popular chart types. As requested, this is a narrative explanation focusing on the differences in mechanics, interpretation philosophy, and the specific pros and cons of each approach.
---
###1. Wavelet Candles vs. Standard (Japanese) CandlesThis is a clash between "the raw truth" and "mathematical interpretation." Standard Japanese candles display raw market data—exactly what happened on the exchange. Wavelet Candles are a synthetic image created by a signal processor.
**Differences and Philosophy:**
A standard candle is full of emotion and noise. Every single price tick impacts its shape. The Wavelet Candle treats this noise as interference that must be removed to reveal the true energy of the trend. Wavelets decompose the price, reject high frequencies (noise), and reconstruct the candle using only low frequencies (the trend).
* **Wavelet Advantages:** The main advantage is clarity. Where a standard chart shows a series of confusing candles (e.g., a long green one, followed by a short red one, then a doji), the Wavelet Candle often draws a smooth, uniform wave in a single color. This makes it psychologically easier to hold a position and ignore temporary pullbacks.
* **Wavelet Disadvantages:** The biggest drawback is the loss of price precision. The Open, Close, High, and Low values on a Wavelet candle are calculated, not real. You **cannot** place Stop Loss orders or enter trades based on these levels, as the actual market price might be in a completely different place than the smoothed candle suggests. They also introduce lag, which depends on the chosen wavelet—whereas a standard candle reacts instantly.
###2. Wavelet Candles vs. Heikin AshiThese are close cousins, but they share very different "DNA." Both methods aim to smooth the trend, but they achieve it differently.
**Differences and Philosophy:**
Heikin Ashi (HA) is based on a simple recursive arithmetic average. The current HA candle depends on the previous one, making it react linearly.
The Wavelet Candle uses **convolution**. This means the shape of the current candle depends on a "window" (group) of past candles multiplied by weights (Gaussian curve, Daubechies, etc.). This results in a more "organic" and elastic reaction.
* **Wavelet Advantages:** Wavelets are highly customizable. With Heikin Ashi, you are stuck with one algorithm. With Wavelet Candles, you can change the kernel to "Haar" for a fast (boxy) reaction or "Morlet" for an ultra-smooth, wave-like effect. Wavelets handle the separation of market cycles better than simple HA averaging, which can generate many false color flips during consolidation.
* **Wavelet Disadvantages:** They are computationally much more complex and harder to understand intuitively ("Why is this candle red if the price is going up?"). In strong, vertical breakouts (pumps), Heikin Ashi often "chases" the price faster, whereas deep wavelet decomposition (High Level) may show more inertia and change color more slowly.
###3. Wavelet Candles vs. RenkoThis compares two different dimensions: Time vs. Price.
**Differences and Philosophy:**
Renko completely ignores time. A new brick is formed only when the price moves by a specific amount. If the market stands still for 5 hours, nothing happens on a Renko chart.
The Wavelet Candle is **time-synchronous**. If the market stands still for 5 hours, the Wavelet algorithm will draw a series of flat, small candles (the "wavelet decays").
* **Wavelet Advantages:** They preserve the context of time, which is crucial for traders who consider trading sessions (London/New York) or macroeconomic data releases. On a wavelet chart, you can see when volatility drops (candles become small), whereas Renko hides periods of stagnation, which can be misleading for options traders or intraday strategies.
* **Wavelet Disadvantages:** In sideways trends (chop), Wavelet Candles—despite the smoothing—will still draw a "snake" that flips colors (unless you set a very high decomposition level). Renko can remain perfectly clean and static during the same period, not drawing any new bricks, which for many traders is the ultimate filter against overtrading in a flat market.
###Summary**Wavelet Candles** are a tool for the analyst who wants to visualize the **structure of the wave and market cycle**, accepting some lag in exchange for noise reduction, but without giving up the time axis (like in Renko) or relying on simple averaging (like in Heikin Ashi). It serves best as a "roadmap" for the trend rather than a "sniper scope" for precise entries.
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix
This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis.
It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade.
How it Works
The strategy relies on the "Golden Trio" of confluence:
1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as:
Price is above the Session VWAP.
The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends).
2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session).
Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish.
Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish.
3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts.
Key Features
The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H).
Trend: Checks if Price > EMA 21.
VWAP: Checks if Price > VWAP.
ORB: Checks if Price is currently above/below the Opening Range of that session.
D H/L: Warns if price is near the Daily High or Low.
PD H/L: Warns if price is near the Previous Daily High or Low.
Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move).
Chart: Draws Green/Red zones extending to the right, showing where price may react.
Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning.
Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs.
Visual Guide (Chart Legend)
⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box.
🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum.
🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum.
🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks.
🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here.
🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here.
⚪ Dots (Trailing Stop):
🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss.
🔴 Red Dots: These appear above price during a Bearish trend.
🏷️ Buy / Sell Labels:
BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish.
SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish.
Settings
Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise.
Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor.
Order Blocks: Adjust the sensitivity and lookback period for Order Block detection.
Risk: Customize the ATR multiplier for the trailing stop.
Disclaimer
This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
Displacement## Displacement Indicator (Institutional Momentum Filter)
This indicator highlights **true price displacement** — candles where price moves with **abnormal force relative to recent volatility**.
It is designed to help traders distinguish **real momentum** from normal market noise.
Displacement often precedes:
- Breaks of structure
- Fair Value Gaps (FVGs)
- Strong continuation or meaningful pullbacks
This tool focuses on **confirmation**, not prediction.
---
### 🔍 How Displacement Is Defined
A candle is marked as *displacement* only when **all conditions are met**:
• Candle body is larger than a multiple of ATR (volatility-adjusted)
• Candle body makes up a high percentage of the full candle (strong close)
• Directional conviction (bullish or bearish close)
This filters out:
- Small or average candles
- Wick-heavy indecision
- Low-quality breakouts
---
### 🎯 What This Indicator Is Best Used For
✔ Confirming impulsive moves
✔ Validating structure breaks
✔ Anchoring Fair Value Gaps
✔ Filtering low-probability setups
✔ Identifying institutional participation
Works best on **M5, M15, and H1**, especially during **London and NY sessions**.
---
### ⚠️ Important Notes
• This is **not** a buy/sell signal by itself
• Best used with trend, structure, or liquidity context
• Not designed for ranging or low-volatility markets
Think of this indicator as a **momentum truth filter** —
if displacement is missing, conviction is likely missing too.
---
### ⚙️ Inputs Explained
• ATR Length – defines normal volatility
• ATR Multiplier – how aggressive displacement must be
• Minimum Body % – ensures strong candle closes
All inputs are adjustable to fit different markets and styles.
---
### 🧠 Philosophy
Displacement reflects **commitment**, not anticipation.
This tool helps you wait for **proof**, not hope.
---
If you want, I can:
- Tighten this for **ICT-style language**
- Rewrite for **beginner clarity**
- Add a **“How I personally use it”** section
- Optimize it for **TradingView algorithm visibility**
**Tell me which you want changed.**
SMI Trigger System The SMI Trigger System is a lower-pane momentum indicator based on a Hull-smoothed Stochastic Momentum Index (SMI). It is designed to assist in identifying potential momentum shifts by highlighting signal alignment and level interactions.
This indicator is intended to be used as part of a broader analysis framework. Confluence between trend, structure, and higher-timeframe context defines the setup, while SMI signal behavior may be used for confirmation.
The script can be applied across multiple timeframes and markets. It does not generate trade signals on its own and should be used alongside additional analysis and risk management techniques.
For educational purposes only. Not financial advice.
Renko with Multi-Timeframe RSI (Non-Repaint)This is a Renko-based Multi-Timeframe RSI indicator with Inverted Volatility Oscillator that combines three technical analysis concepts to provide trading signals without repainting issues.
Core Components
1. Renko Chart Foundation
Instead of using time-based candles, this indicator creates Renko bricks based on price movement:
Green brick = Price moved up by one brick size
Red brick = Price moved down by one brick size
Brick size = Either ATR-based (dynamic) or fixed value
Key advantage: Filters out market noise by ignoring time and small price fluctuations
Non-Repaint Feature: Only processes confirmed bars (barstate.isconfirmed), ensuring signals don't disappear or change after they appear.
2. Volume-Weighted RSI (Multiple Timeframes)
Three RSI calculations:
a) Renko RSI (Purple line)
Calculated directly from Renko brick close prices
Shows momentum based on actual brick formations
More stable than traditional RSI since it's based on significant price moves
b) 1-Hour RSI (Blue line)
Standard RSI from 1-hour timeframe
Provides medium-term momentum context
c) 4-Hour RSI (Orange line)
Standard RSI from 4-hour timeframe
Shows longer-term momentum trends
RSI Interpretation:
Above 70: Overbought (potential sell signal)
Below 30: Oversold (potential buy signal)
Above 50: Bullish momentum
Below 50: Bearish momentum
3. Inverted Volatility Oscillator (Yellow line)
Measures the opposite of price volatility in Renko brick closes:
What It Actually Is:
Simply calculates volatility (standard deviation of rate of change)
Normalizes it to 0-100 scale
Inverts it (100 minus volatility)
Result: When prices are volatile, the number is LOW. When prices are calm, the number is HIGH.
This is just repackaged volatility:
Above 80: Low volatility period (calm, stable prices)
50-80: Below-average volatility
20-50: Above-average volatility
Below 20: High volatility period (choppy, erratic prices)
The "Fear/Greed" Marketing: The assumption is that high volatility = panic/fear, and low volatility = complacency/greed. But this is just a narrative wrapper around basic volatility measurement. Markets can be:
Highly volatile during euphoric rallies (not fear)
Very calm during sustained downtrends (not greed)
The relationship between volatility and sentiment is assumed, not measured.
How It Works
Signal Generation
Buy Signals occur when:
Renko RSI < 30 (oversold) OR
1H RSI < 30 OR
4H RSI < 30 OR
Inverted Volatility < 20 (high volatility = "extreme fear")
Sell Signals occur when:
Renko RSI > 70 (overbought) OR
1H RSI > 70 OR
4H RSI > 70 OR
Inverted Volatility > 80 (low volatility = "extreme greed")
Exit Conditions:
Brick color changes (green→red or red→green)
Any RSI enters opposite extreme zone
Multiple confirmations increase signal reliability
What You're Actually Getting
Legitimately Useful:
Renko filtering: Real noise reduction
Multi-timeframe RSI: Valid momentum confirmation across timeframes
Non-repainting: Reliable signal timing
Marketing Fluff: The "Fear/Greed Index" is:
Just normalized, inverted volatility
Given emotional labels to sound sophisticated
Based on an assumption (volatility = fear) that's often wrong
No actual measurement of fear, greed, sentiment, or psychology
Adds no information you couldn't get from a standard volatility indicator
Reality Check
What the indicator claims: "Fear/Greed Index measures market psychology"
What it actually does: Calculates volatility of Renko closes, flips the scale, and slaps emotional labels on different levels
Better description: "Low Volatility Warning" (>80) and "High Volatility Warning" (<20)
The indicator works fine as a multi-timeframe RSI system with Renko smoothing. The volatility component can be useful for identifying regime changes. But calling it "Fear/Greed" is pure marketing - it's just repackaged volatility with psychology buzzwords.
Bottom Line
Use this for:
Renko trend following (genuinely useful)
Multi-timeframe momentum confirmation (valid approach)
Volatility regime detection (what the yellow line actually measures)
Don't use this thinking:
It reads market psychology (it doesn't)
It's measuring actual fear or greed (it isn't)
It's anything more than inverted volatility (it's not)
// ============ DISCLAIMER ============
// EDUCATIONAL PURPOSE ONLY - NOT FINANCIAL ADVICE
// This indicator is provided for educational and informational purposes only.
// It does NOT constitute financial, investment, trading, or any other type of advice.
//
// PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS
// No trading system or indicator can guarantee profits or prevent losses.
//
// RISKS:
// - Trading and investing involve substantial risk of loss
// - You can lose some or all of your invested capital
// - Only trade with money you can afford to lose
// - Indicators can produce false signals and lag price action
//
// "FEAR/GREED INDEX" DISCLAIMER:
// The so-called "Fear/Greed Index" is simply inverted normalized volatility.
// It does NOT actually measure fear, greed, sentiment, or market psychology.
// It is a mathematical calculation based on price volatility with emotional
// labels applied for marketing purposes. The relationship between volatility
// and sentiment is ASSUMED, not measured or proven.
//
// NO REPAINTING GUARANTEE:
// While designed to avoid repainting, no indicator is perfect. Always verify
// signals on confirmed bars and test thoroughly before live trading.
//
//(RESPONSIBILITY):
// By using this indicator, you acknowledge that:
// - All trading decisions are your own responsibility
// - You have tested this indicator on historical data
// - You understand the risks involved in trading
// - The creator(s) of this indicator are not liable for any losses
//
// ALWAYS:
// - Do your own research and due diligence
// - Consult with qualified financial professionals
// - Use proper risk management and position sizing
// - Never risk more than you can afford to lose
// - Practice on paper/demo accounts before live trading
// =======================================
SMI Trigger System This is a great lower indicator that’s incredibly accurate on any timeframe. I’ve been using it for years on TOS, and now with the help of ChatGPT — since I don’t code — I can now use it on TradingView. Originally written by "Buy Low" and further modified by "Hguru" in TOS. It helps confirm confluence and improves trade confidence.
EMA Slope Angle V2 Auto Threshold# EMA Slope Angle Indicator
## Overview
The EMA Slope Angle Indicator visualizes the Exponential Moving Average (EMA) slope as an angle in degrees, providing traders with a clear, quantitative measure of trend strength and direction. The indicator features **automatic threshold calculation based on Gaussian distribution**, making it adaptive to any market and timeframe.
## Key Features
### 🎯 **Automatic Threshold Calculation (NEW!)**
- **Gaussian Distribution-Based**: Automatically calculates optimal thresholds from the 50% interquartile range (IQR) of historical angle data
- **Asset-Adaptive**: Thresholds adjust to each instrument's unique volatility and price characteristics
- **No Manual Tuning Required**: Simply enable "Use Auto Thresholds" and let the indicator optimize itself
### 📊 **Dynamic EMA Coloring**
- **Color Intensity**: EMA line color intensity reflects slope strength
- **Visual Feedback**:
- Green shades for uptrends (darker = stronger)
- Red shades for downtrends (darker = stronger)
- Gray for flat/neutral conditions
### 📈 **Regime Detection**
- **Three Regimes**: RISING, FALLING, and FLAT
- **Smart Classification**: Based on statistical distribution of angles
- **Non-Repainting**: All calculations use confirmed bars only
### 🔔 **Trend-Shift Signals**
- **Visual Arrows**: Automatic signals when transitioning from FLAT to RISING/FALLING
- **Configurable**: Enable/disable signals as needed
- **Reliable**: Only triggers on significant regime changes
### 📋 **KPI Dashboard**
- **Real-Time Metrics**: Current angle, regime, and last signal
- **Auto-Threshold Display**: Shows calculated thresholds when auto-mode is active
- **Statistics**: Optional angle distribution statistics
- **Clean Layout**: Top-right corner, non-intrusive
### 📊 **Angle Statistics (Optional)**
- **Distribution Analysis**: Histogram of angle ranges
- **Dynamic Buckets**: Automatically adjusts to data distribution when auto-mode is enabled
- **Percentage Breakdown**: See how often each angle range occurs
## Settings
### Main Settings
- **EMA Length**: Period for the Exponential Moving Average (default: 50)
- **Slope Lookback Bars**: Number of bars to calculate slope over (default: 5)
### Angle Settings
- **Use Auto Thresholds**: Enable automatic threshold calculation (recommended!)
- **Analysis Period**: Number of bars to analyze for distribution (default: 500)
- **Manual Thresholds**: Flat, Rising, and Falling triggers (used when auto-mode is off)
- **Max Angle for Color Saturation**: Maximum angle for color intensity scaling
### Display Options
- **Colors**: Customize uptrend, downtrend, and flat colors
- **Show Signals**: Enable/disable trend-shift arrows
- **Show Statistics**: Display angle distribution table
- **Show Dashboard**: Toggle KPI dashboard visibility
## How It Works
### Angle Calculation
The indicator calculates the angle between the current EMA value and the EMA value N bars ago:
```
Angle = arctan((EMA_now - EMA_then) / lookback) × 180° / π
```
### Auto-Threshold Calculation
When enabled, the indicator:
1. Analyzes historical angle data over the specified period
2. Calculates mean and standard deviation
3. Determines thresholds based on the 50% interquartile range (IQR):
- **Flat Threshold**: ±0.674σ (middle 50% of data)
- **Rising Trigger**: 75th percentile (mean + 0.674σ)
- **Falling Trigger**: 25th percentile (mean - 0.674σ)
### Regime Classification
- **FLAT**: Angle within ±Flat Threshold
- **RISING**: Angle ≥ Rising Trigger
- **FALLING**: Angle ≤ Falling Trigger
## Use Cases
### Trend Following
- Identify strong trends (high angle values)
- Spot trend reversals (regime changes)
- Filter trades based on trend strength
### Range Trading
- Detect flat/consolidation periods
- Avoid trading during choppy markets
- Enter when regime shifts from FLAT to RISING/FALLING
### Multi-Timeframe Analysis
- Apply to different timeframes for confirmation
- Use higher timeframe for trend direction
- Use lower timeframe for entry timing
## Tips for Best Results
1. **Enable Auto-Thresholds**: Let the indicator adapt to your instrument
2. **Adjust Analysis Period**: Use more bars for stable markets, fewer for volatile ones
3. **Combine with Price Action**: Use regime changes as confirmation, not standalone signals
4. **Multi-Timeframe**: Check higher timeframes for trend context
5. **Backtest First**: Test settings on historical data before live trading
## Technical Details
- **Non-Repainting**: All calculations use `barstate.isconfirmed`
- **Pine Script v6**: Latest version for optimal performance
- **Efficient**: Minimal computational overhead
- **Customizable**: Extensive settings for fine-tuning
## Version History
**v2.0** (Current)
- Added automatic threshold calculation based on Gaussian distribution
- Dynamic bucket adjustment for statistics
- Enhanced dashboard with auto-threshold display
- Improved regime detection using IQR method
**v1.0**
- Initial release with manual thresholds
- Basic EMA coloring
- Trend-shift signals
- KPI dashboard
## Support
For questions, suggestions, or bug reports, please leave a comment or contact the author.
---
**Disclaimer**: This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
**Keywords**: EMA, slope, angle, trend, automatic thresholds, Gaussian distribution, regime detection, non-repainting, adaptive
Credit Spreads Swing TradingCredit Spreads Swing Trading
Summary
Credit Spreads Swing Trading is a decision-support indicator designed to identify higher-probability put credit spread (PCS) and call credit spread (CCS) opportunities using trend alignment, momentum shifts, and volatility-aware structure.
The indicator works on any ticker and any timeframe, and includes multiple built-in ticker presets that automatically adjust internal parameters. While it will generate signals on all charts, the on-chart table displays a recommended context to indicate when the current symbol, timeframe, and session conditions match the optimized configuration.
Core Signal Logic
Signals are generated when multiple conditions align:
Momentum shift-
Identifies directional momentum changes that often precede short-term swing continuation.
Trend confirmation-
Ensures trades align with the prevailing trend and avoids counter-trend entries.
Higher-timeframe bias
Incorporates Daily and 4-Hour EMA structure to bias trades in the dominant market direction.
Relative volume filter-
Confirms participation to reduce low-quality signals during thin or inactive periods.
Cooldown logic
Enforces spacing between signals to prevent clustering and over-trading.
Credit Spread Direction & Structure
PCS (Put Credit Spread) signals are generated in neutral to bullish conditions
CCS (Call Credit Spread) signals are generated in neutral to bearish conditions
When a signal triggers, the script calculates a recommended short strike using recent pivot structure and displays it visually on the chart. This level is intended as a reference point for structuring a credit spread, not as an execution instruction.
On-Chart Table (Informational)
The indicator includes a compact table that displays:
Current signal type (PCS or CCS)
Recommended sell-leg strike
Average spacing between historical signals
How often prior sell-legs were crossed before the next signal (visual reference only)
Recommended context status
The recommended context row indicates whether the chart matches the optimized setup:
1-Hour timeframe
Extended hours enabled
Selected ticker preset matches the chart symbol (unless set to Auto)
This recommendation is informational only. Signals are not blocked when the chart does not match the recommended context.
Ticker Presets & Flexibility
Users can select from multiple built-in ticker presets (or Auto), which adjust internal parameters such as:
Momentum sensitivity
Volatility handling
Trend responsiveness
This allows the indicator to adapt to different instruments while maintaining a consistent signal framework.
Important Notes
This indicator does not place trades and does not include automated backtesting or performance reporting.
All statistics and visual markers are for manual review and contextual analysis only.
Signals are intended for experienced traders who understand options risk, assignment risk, and proper position sizing.
Intended Use
Credit Spreads Swing Trading is intended as a research and decision-support tool for traders who sell option premium and want structured, rules-based signals aligned with trend, momentum, and volume.
It should be used alongside independent analysis and disciplined risk management.






















