8:30 AM CST Vertical LineVertical line @ open New York market. It let's everyone know when to start trading in order to catch major moves in the market for the most part.
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Multi-Dimensional Quantitative Matrix [Pro]
### **Abstract**
In modern financial markets, asset classes do not move in isolation. Equities, Sovereign Bonds, Currencies, and Commodities are inextricably linked by global liquidity flows and interest rate expectations. However, analyzing these relationships is computationally challenging due to disparate volatility profiles (e.g., comparing Bitcoin’s variance with the 2-Year Treasury Yield).
The **Multi-Dimensional Quantitative Matrix** proposes a normalized statistical framework to visualize **Inter-Market Momentum** and **Cross-Asset Correlation**. By utilizing a rolling Z-Score normalization engine, this tool transforms raw price action into standardized deviations (), allowing for a direct, "apples-to-apples" comparison of momentum across the entire financial spectrum.
---
### **1. Quantitative Methodology**
The core engine relies on a three-step statistical process to filter noise and isolate structural trends:
#### **A. Logarithmic Returns**
To ensure accurate comparison between high-beta assets (Crypto, Tech) and low-beta assets (Currencies, Bonds), the script calculates the natural logarithm of returns rather than simple percentage changes.
#### **B. Z-Score Normalization**
Raw momentum is normalized against its historical distribution. This creates a standard score that indicates how many standard deviations the current momentum is from the mean.
* ****: The asset is performing within its historical norm (Equilibrium/Noise).
* ****: Statistically significant positive momentum (Outlier Strength).
* ****: Statistically significant negative momentum (Outlier Weakness).
#### **C. "Ghost-to-Neon" Signal Processing**
To reduce cognitive load, the indicator employs a dynamic opacity filter based on the Signal-to-Noise Ratio:
* **The Ghost Zone (Noise):** When the Z-Score is near zero (mean-reverting), the lines fade to transparent gray. This indicates a lack of conviction in the trend.
* **The Neon Zone (Signal):** As momentum deviates from the mean, the opacity and color intensity increase linearly. Only statistically significant trends appear brightly on the chart.
---
### **2. Analysis Dimensions (Modes)**
The script includes 8 distinct preset environments, allowing the analyst to switch macro-perspectives instantly:
**1. 🏦 Macro Global (Asset Class)**
* **Purpose:** The "Big Picture" view of Risk-On vs. Risk-Off.
* **Constituents:** S&P 500, US 10Y Yields, Gold, Bitcoin, DXY, Oil, TLT, VIX.
* **Application:** Identify regime changes. E.g., If *Yields* (Red) and *DXY* (Teal) spike while *Equities* (Blue) fade, the market is pricing in monetary tightening.
**2. 💧 Global Liquidity (Monetary Supply)**
* **Purpose:** Tracking the "fuel" of the financial system.
* **Methodology:** Includes a specialized **Monthly-Force Engine** to handle low-frequency economic data (M2, Fed Balance Sheet) without "flat-lining" on daily charts.
* **Constituents:** M2 Money Supply (USA, China, Eurozone, Japan), Fed Balance Sheet, and Stablecoin Market Cap (USDT/USDC).
**3. 🗺️ Country Flows (Geo-Arbitrage)**
* **Purpose:** Visualizing capital migration between geopolitical regions.
* **Constituents:** USA, Europe, Japan, China, Emerging Markets, UK, Canada, India.
* **Application:** Identifying "Great Rotations." E.g., Capital fleeing developed markets (US/EU) to seek alpha in Emerging Markets (India/China).
**4. 📉 Bond Market (Yields & Duration)**
* **Purpose:** Deep dive into the fixed-income yield curve and credit stress.
* **Constituents:** 2Y/10Y/30Y Yields, German Bunds, TLT (Price), MOVE Index (Bond Volatility), High Yield Credit (Junk Bonds), TIPS (Real Yields).
* **Application:** If the *MOVE Index* (Teal) rises while *Junk Bonds* (Blue) fall, credit spreads are widening—a leading indicator of recession.
**5. 🏭 US Sectors (Equity Rotation)**
* **Purpose:** Internal rotation within the S&P 500.
* **Constituents:** Tech, Energy, Financials, Healthcare, Staples, Discretionary, Industrials, Utilities.
**6. 💱 Forex CSM (G8 Currencies)**
* **Purpose:** Currency Strength Meter.
* **Methodology:** Calculates the aggregate strength of a currency against the entire basket of the other 7 majors.
* **Constituents:** EUR, GBP, AUD, NZD, USD, CAD, CHF, JPY.
**7. ☢️ Strategic Resources (Real Assets)**
* **Purpose:** Tracking inputs for the energy transition and defense.
* **Constituents:** Rare Earths, Uranium, Lithium, Base Metals.
---
### **3. Parameter Guide**
* **Z-Score Lookback (Default: 90):** The statistical window. 90 days (approx. 1 trading quarter) is recommended for identifying intermediate macro trends. Lower values (e.g., 20) will result in a more responsive, albeit noisier, oscillator.
* **Smoothing Factor (Default: 5):** Applies an EMA filter to the final Z-Score. Increasing this value reduces "whipsaws" but introduces slight lag.
* **Ghost Threshold (Default: 20):** Controls the visual filter.
* *Increase* to hide more noise and see only extreme outliers.
* *Decrease* to see all market movements, including sideways consolidation.
---
### **Disclaimer**
*This tool is intended for quantitative analysis and research purposes only. It visualizes historical statistical deviations and does not constitute financial advice. Past performance of a Z-Score signal does not guarantee future mean reversion or trend continuation.*
Fixed Zone Flow (ABO SALTAN)//@version=5
indicator("Fixed Zone Flow (ABO SALTAN)", overlay=false)
// ===== INPUTS =====
lenFast = input.int(10, "Fast Length")
lenSlow = input.int(21, "Slow Length")
signal = input.int(4, "Signal Smooth")
buyLevel = input.int(-60, "BUY Level (Fixed)")
sellLevel = input.int(60, "SELL Level (Fixed)")
// ===== CORE =====
price = hlc3
basis = ta.ema(price, lenFast)
dev = ta.ema(math.abs(price - basis), lenFast)
ci = (price - basis) / (0.015 * dev)
fzf = ta.ema(ci, lenSlow)
sig = ta.sma(fzf, signal)
// ===== FIXED BUY / SELL =====
fixedBuy = ta.crossover(fzf, buyLevel)
fixedSell = ta.crossunder(fzf, sellLevel)
// ===== PLOTS =====
plot(fzf, title="FZF", color=color.aqua, linewidth=2)
plot(sig, title="Signal", color=color.orange)
hline(buyLevel, "FIXED BUY", color=color.green, linestyle=hline.style_dashed)
hline(sellLevel, "FIXED SELL", color=color.red, linestyle=hline.style_dashed)
hline(0, "Zero", color=color.gray)
// ===== SIGNAL MARKERS =====
plotshape(fixedBuy, title="BUY",
style=shape.labelup,
location=location.bottom,
color=color.lime,
text="BUY",
textcolor=color.black)
plotshape(fixedSell, title="SELL",
style=shape.labeldown,
location=location.top,
color=color.red,
text="SELL",
textcolor=color.white)
Canale HOCL - Oblique Universali ConsolidateThese are channels projected into the following day, whose function can be to accompany a trend, or to reject the trend.
29 Sniper Execution Window (UTC-5)29 Sniper Execution Window (UTC-5)
This indicator highlights the exact time window I execute my 29 Sniper model — 9:35 to 10:10 New York time.
This is the only period I allow trades.
Liquidity has been engineered, direction is revealed, and higher-timeframe FVG magnets are in play. Anything outside this window is noise.
The shaded session removes hesitation, eliminates FOMO, and keeps execution disciplined and repeatable.
No chasing. No guessing. Just execution when the market is ready.
Rules are simple:
If it sets up in the window, I take it.
If it doesn’t — I do nothing.
This tool exists to protect edge, not create signals.
Bitcoin Halving Cycle Profit (with info table)English
Indicator Description:
Based on the original indicator by @KevinSvenson_
A table with dates was added for study purposes, however the resulting dates are not validated.
The Halving Cycle Profit indicator represents a fixed, recurring profit-taking cycle that begins with each Bitcoin halving event.
Functionality Explained:
After every halving event, there has historically been a fixed number of weeks that marked the area of highest profitability for taking profits.
• 40 weeks post-halving = Start of the optimal profit-taking zone.
• 80 weeks post-halving = “Last call” for profit-taking before the bear market.
• 135 weeks post-halving = Optimal area to begin Dollar-Cost Averaging (DCA).
Quantum Wave Structure# 🚀 Quick Start: How to Use & Default Settings
**Discover Swing Trading with Confidence!**
This indicator is designed for Swing Traders, identifying market structure and providing precise entry/exit points for medium-term profits.
### ⚙️ Recommended Settings
* **Timeframe:** Optimized for **1 Hour (1H) to 4 Hour (4H)** charts.
* **Asset Class:** Stocks, Crypto, and Forex.
* **Session:** Works best on standard candlesticks (Heikin Ashi supported but standard triggers are more precise).
### 📈 How to Trade (Step-by-Step)
1. **Select Timeframe:** Switch your chart to **1H or 4H**. This filters out intraday noise and focuses on the big moves.
2. **Wait for Signal:** Look for the **"BUY"** or **"STRONG BUY"** labels. These appear when Price interacts with a Structural Level (L1-L8) AND Momentum shifts positive.
3. **Confirm with Structure:** The indicator automatically draws **Liquidity Zones (L1-L8)**.
* *Tip:* If you have your own strategy, use these levels as high-probability "Watch Zones" for reversals.
4. **Execution:** Once a trade is active, the script automatically plots:
* 🔴 **Stop Loss:** To protect your capital.
* 🟢 **Take Profit:** Calculated targets based on the structure.
* *No guessing needed—just follow the levels.*
---
# Quantum Wave Structure (QWS) - Structural Trend & Momentum Analyzer
## 1. Justification of Methodology (The "Mashup")
**Quantum Wave Structure (QWS)** is a hybrid technical system that fuses **Market Structure Analysis** with **Momentum Validation**.
* **The Component Interaction:**
* **Component A (Wave Structure):** Identifies the *Location* of potential trade setups by mapping Impulse and Corrective waves (P0, P1, P2) and projecting Fibonacci support zones.
* **Component B (RMI Momentum):** Identifies the *Timing* of the entry using a volatility-adjusted Relative Momentum Index.
* **Why Combined?:** Using Wave Structure alone often results in "catching a falling knife" at support levels. Using Momentum alone often results in buying late. By "mashing" these together, the script filters signals so that entries are only suggested when **Price is at a Structural Support** AND **Momentum has shifted positive**. This specific interaction reduces false positives significantly compared to using either indicator in isolation.
## 2. Uniqueness & Originality
This script offers distinct features not found in standard open-source tools, justifying its closed-source nature:
* **Proprietary "Rebuy" State Machine:** Unlike standard indicators that fire a signal and forget, QWS employs a persistent state machine. If a trade is stopped out but the structure remains valid, it "remembers" the level and monitors for a "Reclamation" setup (Price breaking back above the level), identifying second-chance entries that standard oscillators miss.
* **Automated Structural Projection:** The script automates the complex task of drawing Fibonacci retracements based on validated "Expansions" (Impulse moves >40% range), saving traders from manual charting errors.
* **Dynamic Risk Visualization:** It calculates and projects Entry, Stop Loss, and Take Profit levels directly on the chart based on the volatility of the structure, providing a complete trade plan rather than just a signal.
## 3. Strategy Description (How it Works)
The script operates on a definitive logic flow:
1. **Identify the Impulse:** Scans for a "Point 0 to Point 1" move that meets strict range (>40%) and time (>30 days) requirements.
2. **Project Zones:** Calculates 8 support zones (L1-L8) using Fibonacci ratios from the impulse.
3. **Wait for Interaction:** Monitors price as it approaches these levels.
4. **Trigger Signal:**
* **Primary Entry:** Triggered when Price tests a level and RMI Momentum confirms a reversal.
* **Rebuy Entry:** Triggered if Price creates a "Fake-out" (stops out the primary) but then reclaims the level with volume/strength.
## 4. Usage & Risk Management
* **Realistic Expectations:** This tool identifies high-probability zones, but no tool is 100% accurate.
* **Risk Settings:** The script visualizes Stop Losses (Red) and Targets (Green). It is recommended to risk no more than 1-2% of account equity per trade setup.
* **Timeframe:** Optimized for 4H and Daily analysis where structural levels are most respected.
## 5. Vendor Requirements & Access
This is a closed-source, invite-only script.
* **Access:** Detailed instructions for requesting access are located solely in the **"Author's Instructions"** field below.
* **No Solicitation:** Links to external websites, social media, or chats are not permitted in this description.
* **Disclaimer:** Past performance of structural levels does not guarantee future results.
NextAlgo ORB/Pre# 🚀 Quick Start: How to Use & Default Settings
**Master the Open!**
This indicator is designed for **Day Trading** breakout strategies, specifically targeting the high-volatility opening session.
### ⚙️ Recommended Settings
* **Timeframe:** Optimized for **1-Minute (1m) or 3-Minute (3m)** charts.
* **Asset Class:** High-volume Stocks (Big Caps or Pennies) & Indices.
* **Session:** Default `0930-1550` (US Market).
### 📈 How to Trade (Step-by-Step)
1. **Select Strategy:** Choose **"ORB"** (Opening Range Breakout) or **"Pre-Market High"** in the settings.
2. **Wait for the Level:** The script automatically draws the key breakout line (Orange for ORB, Blue for PMH).
3. **Confirm the Break:** Look for a **"BUY" Triangle**.
* *Note:* The signal only fires if the breakout candle is a **"Power Candle"** (High Volume + Big Body + Strong Close).
4. **Manage the Trade:** Once active, the script plots:
* 🔴 **Stop Loss:** Based on ATR volatility.
* 🟢 **TP 1-5:** 5 distinct take-profit targets.
* 🔵 **Trailing Stop:** Automatically trails price to lock in profit.
---
# NextAlgo ORB/Pre - Advanced Breakout System
## 1. Justification of Methodology (The "Mashup")
**NextAlgo ORB/Pre** is a "Filtered Breakout System" that combines **Price Level Logic** with **Volume/Volatility Confirmation**.
* **The Component Interaction:**
* **Component A (Levels):** Identifies *where* a breakout should happen (Opening Range High or Pre-Market High).
* **Component B (Power Candle Logic):** Identifies *if* the breakout is real by analyzing the specific candle's physics (Volume > Average? Body > Average? Wick < 25%?).
* **Why Combined?:** Standard breakout scripts fail because they trigger on *any* price cross, often leading to "wicks" and "fake-outs." By mashing up level detection with a strict "Power Candle" algorithm, this script only triggers when **Institutional Volume** confirms the move, significantly filtering out retail fake-outs.
## 2. Uniqueness & Originality
This script solves common trading problems with unique, proprietary logic:
* **"Power Candle" Algorithm:** It doesn't just check price; it calculates a dynamic strength score. It requires the breakout candle to have **1.25x Relative Volume** and **1.25x Relative Size** compared to recent history.
* **"Safe Zone" Entry:** Includes a unique toggle to *ignore* the initial breakout and instead signal an entry on the **Pullback** (Retest of the level), offering a better Risk/Reward ratio.
* **Adaptive Stock Modes:** Features distinct, pre-calibrated internal settings for **"Big Stocks"** (Stable) vs **"Penny Stocks"** (Volatile), adjusting the sensitivity of the breakout detection automatically.
## 3. Strategy Description (How it Works)
The script follows a rigorous validation process:
1. **Map the Level:** At market open, it locks in the Opening Range High (First 1-5 mins) or Pre-Market High.
2. **Filter Context:** Checks global filters:
* **Green Day:** Is Price > Yesterday's Close?
* **EMA Cloud:** Is Price > EMA 7 & 21?
* **VIX Filter:** Is Volatility stable?
3. **Validate the Break:** If price crosses the level, it measures the candle.
* *Is Volume High? Is Body Large? Is Upper Wick small?*
4. **Execute:** If all conditions align, it triggering a valid "BUY".
5. **Manage:** Automatically projects 5 Take Profit targets and activates a Trailing Stop once TP1 is hit.
## 4. Usage & Risk Management
* **Stop Loss:** Calculated dynamically using ATR (Volatility) to adapt to the stock's current behavior.
* **Position Sizing:** The script allows you to visualize risk before entering.
* **Discipline:** Designed to prevent "chasing" by only signaling valid, high-quality breakouts.
## 5. Vendor Requirements & Access
This is a closed-source, premium tool.
* **Access:** Instructions for obtaining access are strictly provided in the **"Author's Instructions"** field below.
* **No Solicitation:** Please do not post contact info in the comments.
* **Disclaimer:** Breakout trading involves risk. Use this tool to assist your decision-making, not to replace it.
Monthly 14th Line (Past & Future)This utility indicator automatically draws a vertical line on a specific day of every month (default is the 14th). It is designed for traders who track monthly cycles, recurring economic events, or specific expiration dates.
ICT 20-40-60 Days Hi/LowThis indicator plots the highest high and lowest low from the last 20, 40, and 60 trading days, automatically updating as new sessions form.
The logic is inspired by ICT (Inner Circle Trader) concepts, where higher-timeframe highs and lows act as premium / discount boundaries, liquidity pools, and targets for price delivery.
Nexus Alpha# Nexus Alpha: Institutional-Grade Fundamental Scoreboard
## 🔍 Overview
**Nexus Alpha** is a sophisticated fundamental analysis engine designed to instantly evaluate the "quality" of a stock or asset. While most TradingView indicators focus on technical price action, Nexus Alpha focuses on the underlying business value.
By aggregating over **16 data points** (Financials, Ratios, Growth Metrics), it normalizes mixed data types into a single, actionable **"Hunter Score" (0-100)**. This allows traders to filter out low-quality assets and focus only on financially robust companies.
---
## 💡 Concepts & Methodology
The script solves a critical problem: **Fundamental Data is hard to compare.**
*How do you compare a Market Cap of $2T (Billions) with a P/E Ratio of 25 (Ratio) and a Net Margin of 15% (Ag percentage)?*
Nexus Alpha uses a proprietary **3-Stage Logic Pipeline** to solve this:
### 1. Normalization (The Scoring Engine)
Every raw metric is run through a scoring algorithm that converts it into a standardized **0-10 Score** based on institutional thresholds.
* **Example (P/E Ratio):**
* `< 15` = Super Undervalued (Score: 10/10)
* `15 - 25` = Fair Value (Score: 5-8/10)
* `> 25` = Overvalued (Score: 2/10)
* **Example (Debt/Equity):**
* `< 0.5` = Healthy (Score: 10/10)
* `> 2.0` = Risky (Score: 2/10)
### 2. The Three Pillars
metrics are grouped into three logical categories to evaluate different aspects of the business:
* **📊 Valuation (Default Weight: 30%)**: Are you paying too much? (P/E, PEG, Market Cap).
* **💰 Profitability (Default Weight: 40%)**: Is the company making money efficiently? (Revenue, Net Income, EPS, Net Margin, ROE).
* **🏦 Financial Health (Default Weight: 30%)**: Is the company safe from bankruptcy? (Free Cash Flow, Cash/Debt, Debt/Assets, Debt/Equity).
### 3. Dynamic Growth Tracking
Beyond static numbers, the script compares current data (TTM/FQ) against previous periods.
* **"Growth Points"** are awarded if a metric has improved (e.g., Revenue is higher than last year, or Debt is lower than last year).
* This visualizes **Momentum** in the fundamentals before it shows up in the price.
---
## 🛠 Features & Uniqueness
Many scripts simply plot `request.financial` data on a chart. **Nexus Alpha is unique because:**
1. **It Interprets, It Doesn't just Display:** instead of showing "EPS is 4.2", it tells you if 4.2 is *good* or *bad* relative to benchmarks.
2. **Composite "Hunter Score":** A final weighted average that gives you a quick "Buy/Avoid" bias for long-term holds.
3. **Visual Comparison Table:** Instantly see "Current vs Previous" values with color-coded (Green/Red) growth indicators.
4. **Fully Customizable:** If you care more about Growth than Safety, you can adjust the weights (e.g., set Profitability to 80% and Valuation to 0%).
---
## 📖 How to Use
1. **Add to Chart:** The indicator panel will appear (Default: Bottom Right).
2. **Read the Score:**
* **🟢 > 70 (Strong):** Institutional Grade. High profitability, low debt, fair valuation.
* **🟡 50 - 70 (Neutral):** Good company but maybe expensive or slightly leveraged.
* **🔴 < 50 (Weak):** Speculative. High debt, unprofitable, or extremely overvalued.
3. **Analyze Growth:** Look at the "Growth" column. Green backgrounds indicate the metric is improving quarter-over-quarter or year-over-year.
---
## ⚙️ Settings
* **Weights:** Customize the influence of Valuation, Profitability, and Health on the final score.
* **Data Period:** Switch between **TTM** (Trailing Twelve Months), **FY** (Financial Year), or **FQ** (Financial Quarter).
* **Display:** Toggle specific metrics on/off to declutter the table.
---
## 🚫 Disclaimer
*This tool is for educational purposes and assists in data visualization. It does not constitute financial advice. All scoring is based on pre-defined algorithms and standard financial benchmarks which may not apply to all sectors (e.g., REITs or Banks may require different interpretation).*
---
**Access:**
*To request access to this script, please follow the instructions in the "Author's Instructions" field below or contact me privately.*
DriftState [VynthraQuant]Visual credits: @QuantEdgeB
VynthraQuant – DriftState
Markets do not move in straight lines. They transition between phases of expansion, contraction, and hesitation.This indicator is designed to make those transitions visible.
DriftState is a regime analysis indicator that focuses on identifying persistent directional behavior rather than short-term price fluctuations. Instead of reacting to every pullback or micro-reversal, it aims to stay aligned with the dominant structural drift of the market and step aside when that structure deteriorates.
The indicator provides a Long / Cash regime overlay on price together with a separate drift score panel, allowing traders to see not only the current regime, but also how strong or fragile that regime is.
How DriftState Works (Conceptual Overview)
At its core, DriftState evaluates how price behaves over time, not just where it is relative to a single moving average or threshold.
The internal drift estimator adapts dynamically to market conditions, allowing it to respond faster during directional phases and slow down when markets become noisy or range-bound. This adaptive behavior helps reduce overreaction during consolidation while remaining responsive during sustained trends.
On top of this adaptive drift, DriftState applies a directional persistence evaluation using a for-loop based method.
Rather than asking a single yes/no question (for example, “is price above X?”), the for-loop evaluates how consistently the drift component has moved in one direction over a configurable window. Each step in the loop contributes to an accumulated score, reflecting whether directional behavior is dominant or mixed.
This approach serves two important purposes:
It rewards consistency, not just magnitude
It naturally introduces regime persistence, reducing sensitivity to isolated counter-moves
The result is a raw drift score that increases as directional behavior becomes more coherent and weakens as that coherence breaks down.
Asymmetrical thresholds are then used to transition between regimes. This creates a form of hysteresis: entering a trend requires sufficient confirmation, while exiting only occurs when structural conditions meaningfully deteriorate.
Why a For-Loop Approach Is Used
Markets rarely fail because of one bad candle. They fail when directional behavior erodes over time.
The for-loop method allows DriftState to measure how often and how persistently directional behavior occurs across a window, instead of reacting to single events. This makes the regime logic more tolerant to noise and better aligned with how trends actually develop and decay.
In practice, this means:
Fewer unnecessary regime flips during choppy phases
More stable participation during extended trends
Exits that are driven by structural weakness rather than short-term volatility
Intended Use
DriftState is not designed to be a standalone trading system. It is best used as a regime
backbone or context layer.
Common use cases include:
Confirming whether trend-based strategies are allowed to operate
Filtering out low-conviction or sideways market conditions
Supporting portfolio allocation or exposure decisions
Providing higher-level context for multi-layer trading frameworks
What DriftState Is Not
It is not a signal generator for precise entries or exits
It does not attempt to predict short-term price movements
It does not replace risk management or position sizing logic
DriftState answers a different question: Is the market environment structurally supportive of trend exposure, or not?
DISCLAIMER
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice, investment advice, or a recommendation to buy or sell any financial instrument.
Trading and investing involve risk, and past performance is not indicative of future results.
All trading decisions made using this indicator are the sole responsibility of the user.
ISLAMIC DISCLAIMER
This indicator is provided strictly as a market analysis and visualization tool.
It does not promote or endorse any specific trading method, financial product, or transaction structure.
Compliance with Islamic principles, including but not limited to riba (interest), gharar (excessive uncertainty), leverage, derivatives, and asset permissibility, is the responsibility of the user.
Users are encouraged to consult qualified Islamic scholars or advisors to assess Shariah compliance.
ATR EMA Ribbons Optimized for Daily ChartsTrend following EMA ribbons. Center line changes color based on ATR in relation to trend. Undecided trend plotted in light grey. Inspired by a modified MACD and Larsson Line ribbon.
AIIA Moving Average SMAThe SMA, or Simple Moving Average, is one of the most fundamental and widely used technical analysis tools in financial markets. It is primarily used to identify price trends, determine support and resistance levels, and generate trading signals.
1. Definition and calculation principle of SMA moving average
SMA smoothes price fluctuations by calculating the arithmetic mean of closing prices within a specific period, eliminating short-term noise interference.
n represents the set periodicity (such as 5 days, 20 days, 200 days, etc.)
For example, the 20-day SMA is calculated by dividing the sum of the closing prices of the last 20 trading days by 20. Whenever a new trading day ends, the oldest data is removed and new data is incorporated, forming a dynamic moving average.
II. Core Functions and Application Scenarios of SMA
Trend identification
When the price is above the SMA and the moving average is sloping upwards, it indicates an upward trend;
On the contrary, if the price is below the moving average and the moving average is downward, it indicates a downward trend.
Common long-term moving averages, such as the 200-day Simple Moving Average (SMA), are regarded as the "bull-bear dividing line" and play a significant role in guiding market sentiment.
Support and resistance
In an uptrend, SMA often serves as a support level during pullbacks;
In a downtrend, it may evolve into a resistance level for a rebound;
Especially, long-term SMAs (such as 50-day and 200-day) carry strong psychological and technical significance at key points.
Cross-trading signal
Golden Cross: When the short-term SMA crosses above the long-term SMA (e.g., the 5-day moving average crosses above the 20-day moving average), it is considered a buy signal;
Death Cross: When the short-term SMA falls below the long-term SMA, it is considered a sell signal;
This type of combination is widely used in constructing trend-following strategies, such as the "Double Moving Average System".
III. Analysis of the Advantages and Disadvantages of SMA
table
Advantages Disadvantages
Simple to calculate, easy to understand and implement. However, it has a lag time, responding slowly to sudden price changes
It can effectively filter short-term fluctuations and reveal medium- and long-term trends. All historical data are given equal weight, failing to highlight the importance of recent prices
It is applicable to various markets such as stocks, futures, foreign exchange, and cryptocurrencies. In volatile markets, false signals are easily generated, leading to frequent misjudgments
IV. Suggestions for practical use
Cycle selection:
Short-term trend: SMA(10), SMA(20)
Medium-term trend: SMA(50), SMA(100)
Long-term trend: SMA(200)
Combination strategy:
It is recommended to combine short-term and long-term double moving averages (such as 10-day and 50-day) to enhance signal reliability;
It can be further verified through resonance with indicators such as trading volume and MACD to reduce the risk of misjudgment.
Target audience:
Suitable for investors who prefer trend following and focus on systematic trading, especially for those with medium to long-term positions.
DCA Zones: MA100 Buffer (Buy-the-Dip Highlight)Highlights potential DCA buy zones when price drops X% below the 100-period MA.
Goldie Engine v2 (Clean Build)Purpose: A Smart Money Concepts (SMC) trading indicator that identifies high-probability institutional trading setups based on multiple confluence factors.
Key Features:
Higher Timeframe (HTF) Trend Filter
Analyzes 4-hour, 2-hour, and 30-minute timeframes
Confirms bullish/bearish trend alignment across all three timeframes
BUY: All bullish conditions met
TSELL: All bearish conditions met
KYO MAGIC BOX V1 | TRADING WITH KYO## Future Box Projection (Minimalist & Dynamic)
### Overview
This indicator provides a visual "Future Box" that projects potential price action ranges for the next few bars based on recent market volatility and trend strength. It is designed with a minimalist aesthetic, using dashed lines and clear price labels to avoid cluttering your chart.
### Key Features
- **Dynamic Volatility Calculation**: Choose between two modes:
1. **ATR Mode**: Uses the Average True Range (ATR) to measure overall market volatility.
2. **Smart Body Mode**: Filters for high-volume, strong-bodied candles to calculate the average "intent" of market movers.
- **Adaptive Trend Coloring**: The projection box automatically changes color (Teal for Uptrend, Red for Downtrend, Gray for Sideways) based on the relationship between price, SMA 20, and SMA 50.
- **VWAP Magnet Logic (Optional)**: When enabled, the box boundaries respect the VWAP as a dynamic support/resistance level, narrowing the projection near key institutional volume zones.
- **Clean UI**: Features dashed boundary lines and real-time price tags at the projected targets for quick decision-making.
### How to Use
- **Scalping/Day Trading**: Set a lower Lookback (e.g., 20) to capture immediate volatility shifts.
- **Risk Management**: Use the projected box levels as a guide for placing stop-losses or identifying potential take-profit zones for the next 5-10 bars.
- **Trend Confirmation**: Only take trades when the box color aligns with your directional bias.
### Settings
- **Lookback**: Number of bars to analyze for volatility.
- **Future Bars**: How far into the future the box extends.
- **ATR Multiplier**: Adjusts the vertical width of the box when in ATR mode.
- **Toggle VWAP**: Enable/Disable price attraction to the Volume Weighted Average Price.
CRR EMAS HH LLCRR HH LL EMAs — Market Structure & EMA Levels (Educational)
CRR HH LL EMAs is an educational chart overlay designed to help traders visualize market structure and key EMA price levels in a clean and objective way.
This indicator combines two core concepts:
Market Structure
Higher Highs (HH)
Lower Lows (LL)
Recent swing highs and lows as visual references
EMA-Based Price Levels
EMA 20
EMA 50
EMA 100
EMA 200
Each EMA is displayed as a dynamic price level to help identify trend alignment, support, and resistance zones.
The script is intended to improve price context awareness, not decision automation.
What this script is USED FOR
This tool helps traders to:
Visually identify bullish and bearish structure
Understand where price is trading relative to key EMAs
Spot potential support and resistance zones
Analyze trend strength and pullbacks
Improve discretionary market reading
It is especially useful for:
Market structure analysis
Trend-following context
Educational chart studies
Multi-timeframe observation
What this script IS NOT
This script is NOT a trading strategy.
It does NOT generate buy or sell signals.
It does NOT predict future price movements.
It does NOT provide financial or investment advice.
It does NOT guarantee profitability.
All drawings and levels are visual references only.
Important Notes
This indicator is non-repainting
All levels are based on confirmed price data
The script is designed for manual and discretionary analysis
Use it as a context tool, not as a signal generator
Dashboard Analytics Ranges++ [LP]Dashboard Analytics Ranges++
Professional Multi-Timeframe Range Analytics Dashboard
A comprehensive statistical analysis tool designed for institutional-grade market range assessment across multiple time horizons. This indicator provides quantitative volatility measurements and predictive price level projections based on historical market behavior patterns.
Use Cases
Pre-session range expectation modeling
Stop-loss and take-profit level optimization
Volatility regime identification
Multi-timeframe confluence analysis
Risk-adjusted position sizing calculations
PoP5 - Composite probabilistic oscillator by WwPoP5 — Probability-Based market analysis
PoP5 replaces " Power of 3 "
PoP5 is an analytical indicator that evaluates market conditions using probability distributions rather than fixed indicator thresholds. It is a composite probabilistic oscillator tool that highlights only high confidence opportunities without requiring technical know-how.
The script features an adaptive sample window that adjusts to observed market structure, with Pivot-adaptive sampling enabled by default. This allows probability calculations to scale across timeframes while maintaining deterministic behaviour and defined fallbacks.
Signals may be evaluated on a user-selected higher timeframe (HTF) independent of the chart timeframe. Confidence thresholds are configurable, with optional cutoff scaling to account for reduced data density on higher timeframes.
PoP5 supports multiple statistical models (Normal, Laplace, and Empirical distributions) and includes asset-aware logic to differentiate behaviour between crypto and non-crypto instruments. For cryptocurrency pairs, the analysis may incorporate Bitcoin-relative context as an additional weighting input. An on-chart table displays the active internal state, such as sample mode, effective length, distribution, cutoff, signal mode, and timing information with hover tooltips for clarity.
This script is intended for market analysis and decision support, not trade automation. Signals represent probabilistic conditions and should be interpreted within the context of the user’s own methodology and risk management framework.
How to use
By default, no configuration is required. Works straight out of the fictitious box. However, perhaps you’re a trader who only trades a single asset like FX, in that situation calibrate the settings to your specific circumstances.
1) Select a signal evaluation timeframe (HTF)
Choose the timeframe on which signal conditions are evaluated. The script will automatically fall back to the chart timeframe if it is higher than the selected HTF.
2) Review the sample window configuration
Pivot-adaptive sampling is enabled by default and derives the historical window from observed market structure. Alternative modes (fixed time, timeframe map, fixed bars) are available if a more deterministic window is preferred.
3) Adjust confidence settings
Use the probability cutoff to control how restrictive signal conditions are. Optional cutoff scaling can be enabled to maintain consistency when working on higher timeframes.
4) Interpret signals as analytical context
Signals reflect probabilistic conditions based on the selected model and inputs. They are not trade instructions and should be considered alongside other market information.
5) Use the on-chart table for context
The table displays the active internal state (sample mode, effective length, distribution, cutoff, signal mode, and timing). Hover over table headers to view explanations for each field.
Limitations
This script is designed for analytical context, not trade execution or automation.
Signals represent probabilistic conditions derived from historical data and do not imply future outcomes.
The script assumes the symbol has sufficient historical data; behaviour on newly listed or thinly traded instruments may be undefined.
Higher timeframes naturally involve fewer data points, which may affect the stability of probability estimates.
No single indicator accounts for all market conditions; outputs should be considered alongside other analysis tools.
Examples of public ideas
Lumen Technologies, July 2024 @ 1.21
2 day chart
6 week chart
uniQure N.V, February 2024 @ 5.90
4 week chart
Daily chart
RealReal, Inc, March 16th, 2023 @ 1.36
Monthly chart
2 week chart
XRP (Ripple), December 3rd, 2024 @ 2.70
6 day chart
Distributions
Conclusion
PoP5 is designed to provide probabilistic context for market analysis by adapting its calculations to timeframe, structure, and asset type. It is intended to support informed decision-making rather than replace independent analysis.
Questions? Just ask below!
Ww
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Disclaimer
This script is provided for informational and analytical purposes only. It does not constitute financial advice, investment advice, or trade recommendations. Market conditions are uncertain, and past behavior does not imply future outcomes. Users are responsible for their own trading decisions and risk management.
