Neon Quad Bollinger + Dual Supertrend🔥 Indicator Description
Neon Quad Bollinger + Dual Supertrend
This indicator combines volatility structure, momentum leadership, and trend regime filtering into one clean visual system.
It is designed to answer three trading questions at the same time:
Is the market trending or ranging?
Who is leading price — fast money or slow money?
Is volatility expanding in a tradeable direction?
Nothing repaints. No guessing. No clutter.
🧱 COMPONENTS (What each part means)
1️⃣ Quad Bollinger Structure (High / Low, EMA / WMA)
You are running four Bollinger envelopes:
EMA High
WMA High
EMA Low
WMA Low
Instead of filling inside bands, you are filling between WMA ↔ EMA, which creates pressure ribbons.
What the ribbons mean
WMA leads EMA → fast money
EMA lags WMA → slower institutional positioning
🟢 Green ribbons (High-based)
Show upside volatility pressure
🔴 Red ribbons (Low-based)
Show downside volatility pressure
Ribbon expansion = momentum building
Ribbon compression = energy storing
This is not mean reversion Bollinger logic — this is volatility leadership.
2️⃣ Basis Supertrend (Fast Regime Filter)
This is a simple SMA-based supertrend:
Green when price is above
Red when price is below
Purpose:
Filters chop
Shows immediate bias
Helps with scalp & intraday alignment
Think of it as “Are we allowed to look long or short right now?”
3️⃣ 233 SMMA Supertrend (Macro Trend Anchor)
This is the anchor of the entire system.
Extremely slow (233 smoothed MA)
Color flips ONLY when the 55 EMA crosses
Immune to noise
Shows macro regime shifts
This line tells you:
“Are we in accumulation, expansion, or distribution?”
You do not fight this line.
🧠 HOW TO TRADE IT (REAL SETUPS)
🔹 SETUP 1: TREND CONTINUATION (Highest Probability)
Conditions
233 SMMA Supertrend = 🟢 GREEN
Basis Supertrend = 🟢 GREEN
Green Bollinger ribbons expanding
Red ribbons compressed or fading
Entry
Pullback into the basis supertrend
Or first candle closing back inside expanding green ribbons
Stop
Below basis supertrend
Or below last red ribbon expansion
Target
Ride until:
Green ribbons compress
OR basis flips red
📌 This is your core money maker.
🔹 SETUP 2: VOLATILITY BREAKOUT (Compression → Expansion)
Conditions
Green and red ribbons both tight / overlapping
233 SMMA already defined (green or red)
Basis aligned with SMMA
Entry
First strong ribbon expansion in SMMA direction
Stop
Inside compression zone
Target
Until ribbon width peaks and starts narrowing
📌 This catches explosive moves early.
🔹 SETUP 3: EARLY TREND REVERSAL (Advanced)
Conditions
Price approaching 233 SMMA
Ribbons begin expanding against prior trend
Basis flips first
SMMA flips later (confirmation)
Entry
On SMMA color flip
Or aggressive traders: on ribbon dominance shift
Stop
Other side of SMMA
📌 Fewer trades, bigger moves.
🔹 SETUP 4: NO-TRADE ZONE (Just as Important)
Do NOT trade when:
Basis and SMMA disagree
Ribbons are flat and alternating
Price whipsaws through both supertrends
📌 Capital preservation is a signal.
🧩 TIMEFRAME GUIDANCE
Scalping: 1–5 min (use basis heavily)
Day trading: 5–15 min (ideal)
Swing trading: 1H–4H (SMMA dominates)
The indicator scales extremely well.
🧠 WHY THIS WORKS (Conceptually)
Most indicators:
React to price
This system:
Measures who is in control
Shows volatility intent
Filters false momentum
The WMA↔EMA spread is something most traders never see — that’s your edge.
⚠️ FINAL TRADING RULES (Tattoo These)
Trade with the 233 SMMA
Let ribbons expand before committing size
Avoid trades when structure disagrees
One good trade > five forced trades
📐 RULE-BASED SYSTEM
Neon Quad Bollinger + Dual Supertrend
🧭 MARKET STATE DEFINITIONS (Non-Negotiable)
🔵 TREND STATE (Macro)
BULLISH → 233 SMMA Supertrend = NEON GREEN
BEARISH → 233 SMMA Supertrend = NEON RED
👉 You only trade in the direction of this state.
🟡 PERMISSION FILTER (Micro)
BULLISH PERMISSION → Basis Supertrend = GREEN
BEARISH PERMISSION → Basis Supertrend = RED
👉 If permission ≠ macro → NO TRADE
🟢 LONG RULES (Exact)
✅ LONG BIAS CHECK
ALL must be true:
233 SMMA = GREEN
Basis Supertrend = GREEN
If either fails → NO LONGS
✅ LONG SETUP (STRUCTURE)
ALL must be true:
3. Green Bollinger ribbons expanding
Distance between:
WMA High Upper ↔ EMA High Upper increasing
WMA High Lower ↔ EMA High Lower increasing
Red ribbons flat or contracting
Price above or pulling back into basis supertrend
🎯 LONG ENTRY
Enter LONG when:
A candle closes bullish
AND closes inside or above expanding green ribbons
AND does not close below the basis line
📌 No candle close = no entry.
🛑 LONG STOP
Choose ONE:
Below basis supertrend
OR
Below most recent red ribbon expansion low
Whichever is closer but logical.
🎯 LONG EXIT
Exit when ANY occurs:
Basis supertrend flips RED
Green ribbons stop expanding and compress
Price closes below basis
🔴 SHORT RULES (Exact)
✅ SHORT BIAS CHECK
ALL must be true:
233 SMMA = RED
Basis Supertrend = RED
If either fails → NO SHORTS
✅ SHORT SETUP (STRUCTURE)
ALL must be true:
3. Red Bollinger ribbons expanding
Distance between:
WMA Low Upper ↔ EMA Low Upper increasing
WMA Low Lower ↔ EMA Low Lower increasing
Green ribbons flat or contracting
Price below or pulling back into basis supertrend
🎯 SHORT ENTRY
Enter SHORT when:
A candle closes bearish
AND closes inside or below expanding red ribbons
AND does not close above basis
🛑 SHORT STOP
Choose ONE:
Above basis supertrend
OR
Above most recent green ribbon expansion high
🎯 SHORT EXIT
Exit when ANY occurs:
Basis supertrend flips GREEN
Red ribbons compress
Price closes above basis
🚫 ABSOLUTE NO-TRADE RULES
Do NOT trade if:
233 SMMA and Basis disagree
Ribbons overlap tightly (compression)
Green & red ribbons expand simultaneously
Price chops through both supertrends
📌 Flat market = professional patience.
⏱ TIMEFRAME RULES
Best: 5m–15m (crypto / indices)
Scalp: 1–3m (only with strong ribbon expansion)
Swing: 1H–4H (ignore basis noise, obey SMMA)
🧠 POSITION MANAGEMENT (Rule-Based)
Risk ≤ 1% per trade
Partial at first ribbon compression
Runner only while:
Macro trend intact
Ribbon dominance remains
🧩 WHY THIS SYSTEM IS ROBUST
SMMA = regime (no noise)
Basis = execution timing
WMA↔EMA spread = who is leading
Volatility confirms intent, not prediction
This is trend participation, not guessing tops or bottoms.
📌 SUMMARY (Tattoo Version)
Trade only with SMMA
Enter only with basis permission
Expand → trade
Compress → wait
Disagreement → stand down
Wskaźniki i strategie
Chronos RangeChronos Range highlights the high and low over a chosen time period, revealing key price zones at a glance.
Moving Average ExponentialDAYAAn Exponential Moving Average (EMA) is a technical chart indicator used in trading to identify market trends by averaging asset prices over a specific timeframe, placing higher weight and significance on the most recent price data. Unlike a Simple Moving Average (SMA), the EMA is more responsive to recent price changes, making it ideal for identifying reversals or short-term trends.
9:30 Open + Full Quadrants (Last 5 Days)9:30 Open + Full Quadrants (Last 5 Days) is a session-based intraday indicator designed to map the true price distribution of the New York cash open.
The script captures the 9:30 AM (New York time) opening price and calculates the full range (high & low) formed between 9:30 and 10:30 AM, then divides that range into five key levels:
0% – Session Low
25% – Lower Quartile
50% – Midpoint (Equilibrium)
75% – Upper Quartile
100% – Session High
if you are bullish watch for key PDA to form around quadrants levels and use that with the narrative to trade higher
inverse for bearish scenario
ive been backtesting this looks interesting especially for scalps
Ghost Candles (Pattern Matching)project future price action. Unlike standard indicators that lag, this script attempts to look forward by finding historically similar price patterns and projecting them as "Ghost Candles."
Key Features:
🕯️ Ghost Candles (Pattern Matching): The script scans up to 5,000 bars of history to find price patterns that match the current market structure (Correlation > 80%). It then projects the historical outcome onto the current chart as "Ghost Candles," giving you a visual roadmap of potential future moves (Open, High, Low, Close).
🌊 Regime Detection (FDI): Uses the Fractal Dimension Index (FDI) to determine if the market is Trending or Choppy.
Green Background: Trending Market (Safe to follow breakouts).
Red Background: Choppy/Ranging Market (Expect fakeouts).
📊 Hurst Exponent: Measures the "memory" of the market to confirm trend persistence.
💎 Fractal Levels: Automatically plots Williams Fractal Support & Resistance levels to identify key breakout or reversal zones.
How to Use:
Ghost Candles: Look for the translucent candles extending to the right of the current price.
Green Ghost: Probability of a bullish move based on history.
Red Ghost: Probability of a bearish move.
Note: The "Pattern Match %" label tells you how similar the current setup is to the historical one. Higher % = Stronger match.
Background Color:
Trade with the trend when the background is Green.
Be cautious or trade mean reversion when the background is Red.
Support/Resistance: Use the horizontal lines as targets or stop-loss levels.
Settings:
History Scan Window: How far back to search for matches (Default: 2000 bars).
Similarity Threshold: Minimum correlation required to show a projection (Default: 0.80 or 80%).
Prediction Length: Number of "Ghost Candles" to project (Default: 10).
Disclaimer: This tool is for educational purposes and analyzes historical probabilities. Past performance is not indicative of future results. Always use risk management.
Options Rotation Momentum (V 1.0.2) Author File — Options Rotation Momentum V1.0.2
Author Information
• TradingView Username: cellophane
• Display Name : 2hoops
• Contact Email : gm2hoops@gmail.com__
• Country/Region : Canada
Support Docs (PDF) cut/paste
Quick Start: github.com
User Guide: github.com
Script Ownership & Rights
• I confirm I am the original author of this script.
• I confirm this script does not contain plagiarized code or unauthorized copies of other protected scripts.
• I understand users may view the indicator output but cannot access the source code unless I choose to share it.
Script Summary
Script Name: Options Rotation Momentum (V 1.0.2)
• Purpose: Visual dashboard for momentum, relative strength vs benchmark, VIX-based caution regime, Flow signals, ATR trailing stop, and 6-symbol rotation ranking.
• Key Outputs: Heat lines, main guided table, rotation ranking panel, alerts for Flow/Caution/SL risk.
• Key Inputs: External feeds toggle, benchmark/VIX symbols, caution mode, outlook, higher TF, lookback/cooldown, ATR stop settings, rotation set/custom symbols.
Disclosures
• This indicator is for informational and educational purposes only.
• No guarantees of performance; users should test and apply their own risk management.
• The indicator does not place trades and does not provide financial advice.
Cancel anytime; access remains until the end of the paid period. Because access is granted immediately ( invite-only + digital docs), refunds are generally not provided. Billing issues: contact within 7 days with your TradingView username.
Support / Updates
• Support Contact : gm2hoops@gmail.com
• Known Limitations: Requires external symbols to be available on the user plan; some values show NA when feeds are OFF.
SMC IRONCORE Contact: t.me
📌 SMC IRONCORE™ — Smart Money Concepts PRO
SMC IRONCORE™ is an advanced Smart Money Concepts (SMC) indicator designed for traders who focus on market structure, institutional liquidity, and high-probability zones, without cluttering the chart or relying on automated buy/sell signals.
The script combines real market structure, order flow, liquidity, order blocks, FVG, SFP, and key multi-timeframe levels, using an optimized and configurable logic.
🧠 Market Structure
CHoCH and BOS (confirmed and anticipated)
HH / HL / LH / LL (strong & weak)
Internal and external trend detection
Build Sweeps on BOS and CHoCH
Configurable bubbles and labels
Optimized calculation window for performance
📦 Volumetric Order Blocks
Bullish and bearish Order Blocks
Mitigation by Close / Wick / Average
Breaker Order Blocks
Volume metrics per OB
OB mid-line
Smart overlap filtering
Internal Buy/Sell activity visualization
⚡ Fair Value Gaps (FVG)
Bullish and bearish FVGs
Breaker FVGs
Touch and mitigation detection
Automatic overlap management
Integrated with structure and liquidity
🎯 Liquidity Concepts
Buy-side & Sell-side liquidity
Sweep areas and liquidation zones
Liquidity Prints (institutional style)
Equal Highs / Equal Lows (EQH / EQL) with ATR-based tolerance
Zones displayed as areas or lines, depending on preference
🧲 Swing Failure Pattern (SFP) – Institutional Style
Bullish and bearish SFPs
Swing lines, wick lines, and confirmation lines
Labels and confirmation triangles
Logic based on real swings (no repaint)
🗓️ Multi-Timeframe Highs & Lows
Daily High / Low
Weekly
Monthly
Quarterly
Yearly
Customizable styles and colors
🚨 Alert System
Individual and specific alerts (no generic “Any alert”):
CHoCH
BOS
Sweeps
OB Touch
OB Break / Breaker
Liquidity Print
Separate bullish and bearish events
Designed for TradingView alerts and external automation.
⚙️ Design & Philosophy
Not a simple “buy/sell” signal indicator
Built for context, confirmation, and professional execution
Clean, modular, and highly configurable visuals
No repaint on key signals
Optimized for both lower and higher timeframes
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.
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.
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.






















