Historical Vertical Lines 17:00-20:30Historical Vertical Lines 17:00-20:30. These lines show this specific time. You can edit the times via pine script. Easy.
頻帶和通道
Institutional Signal Engine (ISE) 🧭 Overview
ISE is a multi-layer institutional trading system that combines trend, volatility, volume, and multi-timeframe logic into one advanced framework.
It identifies high-probability reversals, institutional accumulation/distribution phases, and Smart Buy/Sell setups confirmed by higher-timeframe filters.
The indicator integrates:
TSI–RSI–ATR dashboard (weekly basis)
Monthly trend filter (long-term direction)
A/D Line divergences and volume spikes on compression
Dynamic Sigma ±1…±4 volume bands (VWMA-based)
Smart visual signals, alerts, and real-time data tables
⚙️ Core Logic – Step by Step
1️⃣ Multi-Timeframe Engine
Calculates TSI, RSI, and ATR on the weekly timeframe to filter out short-term noise.
Uses a 10-period SMA on monthly close as long-term filter:
Above = monthly bullish bias
Below = monthly bearish bias
2️⃣ Weekly Trend Change Detection
A 10-bar SMA defines the weekly trend:
Green arrow “▲” = Bullish reversal
Red arrow “▼” = Bearish reversal
Automatic alerts are triggered when a reversal occurs.
3️⃣ Directional Score (0–100%)
A 4-factor composite score measures directional strength:
Component Weight Effect
TSI trend direction 25% Momentum bias
RSI above/below 50 25% Market strength
ATR above volatility threshold 25% Volatility confirmation
Monthly trend alignment 25% Institutional filter
Score ≥ 75% = strong institutional confirmation
Combined with monthly bias, this defines Smart Entry Zones
4️⃣ Institutional Module
🔸 A/D Line Divergences
Detects when volume flow diverges from price:
Price down + A/D up → bullish divergence (accumulation)
Price up + A/D down → bearish divergence (distribution)
🔸 Volume Spikes on Compression
Flags breakouts when price range contracts but volume surges sharply.
Indicates institutional activity and momentum expansion.
🔸 Smart Buy / Smart Sell Conditions
Smart signals appear only when all conditions align:
Divergence or volume spike,
Score ≥ 75%,
Monthly trend confirmation,
(Optional) Weekly trend reversal if enabled.
✅ Smart Buy (C) → Green triangle below bar
✅ Smart Sell (V) → Red triangle above bar
5️⃣ Advanced Visual Signals
Symbol Meaning Interpretation
▲ / ▼ Weekly trend reversal Direction change
🟢 C / 🔴 V Smart Buy / Smart Sell Institutional setup
🔵 / 🟠 Circles Ideal confirmed trades Retrospective validation
💠 Fuchsia Diamond Probable low Anticipated bullish reversal
↟ / ↡ RSI/SMA extreme cross Visual early warning
6️⃣ Sigma ±1..±4 Volume Bands (VWMA-70)
Based on Volume Weighted Moving Average (VWMA 70), not Bollinger.
Defines 4 upper and 4 lower Sigma levels relative to the current equilibrium (POC).
Acts as a probabilistic map of volume balance zones.
Labels display real-time price values for each band (auto-updated each bar).
7️⃣ Real-Time Information Tables
📋 Oscillator Table (Right side)
Displays the status of three oscillators:
Indicator Signal
Stochastic BUY / SELL / NEUTRAL
Fisher Transform BUY / SELL / NEUTRAL
Williams %R BUY / SELL / NEUTRAL
Colors: 🟢 = Buy, 🔴 = Sell, 🟠 = Neutral
📊 Volume Table (Top right)
Shows:
Volume Direction: buying / selling / neutral
Trend vs previous bar: increasing / decreasing / stable
Current vs previous volume values
🧠 How to Use and Interpret
🔹 Step 1 – Identify Context
Use the monthly filter and weekly arrows to determine the institutional direction.
📈 Both up = bullish environment
📉 Both down = bearish environment
Mixed = neutral / uncertain
🔹 Step 2 – Wait for Alignment
Trade only when Smart Signals appear in the same direction as the higher timeframe trend.
Green “C” = buy signal within bullish structure
Red “V” = sell signal within bearish structure
🔹 Step 3 – Confirm with Volumes and Sigma Bands
If price is near Sigma −2 / −3, expect potential rebound (buy zones).
If price is near Sigma +2 / +3, expect exhaustion (sell zones).
Strong volume spike + Smart signal = institutional confirmation
🔹 Step 4 – Manage Trades
Use weekly ATR or Sigma ±2 as volatility-based stop levels.
Exit on opposite Smart signal or trend reversal arrow.
📈 Interpretation Summary
Condition Meaning Bias
Green ▲ + Smart Buy + Score ≥75 Confirmed bullish reversal Long setup
Red ▼ + Smart Sell + Score ≥75 Confirmed bearish reversal Short setup
Fuchsia Diamond ⚡ Probable local bottom Early long opportunity
Narrow Sigma bands Compression → Pre-breakout Wait for expansion
Wide Sigma bands High volatility / exhaustion Avoid new entries
⚡ Summary
Aspect Description
Name Lanfranco Bilotti – Institutional Trading + Alert
Structure Multi-timeframe, multi-indicator system
Core Modules TSI, RSI, ATR, A/D Divergence, Volume Spike, Sigma Bands
Signals Smart Buy/Sell, Probable Low, Trend Arrows
Alerts Automatic weekly reversal alerts
Filters Weekly and monthly trend filters
Output Visual dashboard + dual data tables
Best timeframe Weekly or Daily (for institutional flow)
Main goal Detect institutional trend phases and confirm high-probability entries
💼 Trading Instructions (Usage Guide) !!!!
🔹 Step-by-Step Usage
1️⃣ Choose timeframe
Recommended use on Daily or Weekly charts.
Institutional alignment works best when Weekly = Monthly trend.
2️⃣ Identify market context
📈 Bullish environment: Monthly filter = UP and weekly arrow ▲
📉 Bearish environment: Monthly filter = DOWN and weekly arrow ▼
3️⃣ Wait for confirmation
Smart BUY (C) → appears only when volume, trend, and oscillators align.
Smart SELL (V) → confirmed institutional distribution setup.
4️⃣ Entry rules (example)
Long entry: when Smart BUY (C) appears and the current price is near Sigma −1 or −2.
Short entry: when Smart SELL (V) appears and the price is near Sigma +1 or +2.
5️⃣ Stop loss suggestion (statistical)
Use weekly ATR or next Sigma band as volatility-based stop.
Example: if entry at Sigma −1 → stop below Sigma −2.
6️⃣ Exit strategy
Exit when the opposite Smart Signal appears (C → V or V → C).
Or when a new weekly reversal arrow ▲ / ▼ is printed.
🔹 Interpretation Summary
Symbol Meaning Action Bias
▲ / ▼ Weekly trend reversal Confirms long / short bias
🟢 C Smart Buy Long entry zone
🔴 V Smart Sell Short entry zone
💠 Fuchsia Diamond Probable low Early long opportunity
↟ / ↡ RSI/SMA extreme Momentum exhaustion zone
=================================================
Trade only in the direction of the higher timeframe trend.
Smart BUY (C) → enter long when price is near Sigma −1 / −2 and monthly trend = UP.
Smart SELL (V) → enter short when price is near Sigma +1 / +2 and monthly trend = DOWN.
Exit on the opposite Smart signal or when a new weekly arrow ▲ / ▼ appears.
Use the weekly ATR or next Sigma band for stop-loss placement.
Always confirm signals at candle close.
Statistical Projection over N Days (drift + σ) – v1.2 [EN]🧭 Overview
“Statistical Projection over N Days (drift + σ)” is a quantitative forecasting model that estimates the expected future price range of any asset over a chosen horizon (default = 10 days).
It combines average drift (trend direction) and historical volatility (σ) to produce a probabilistic cone of future price movement.
The indicator displays:
a blue dashed line (expected price path),
1σ / 2σ deviation bands (volatility envelopes),
and a summary table with the key forecast values and expected return.
⚙️ Core Logic (Explained Simply)
The indicator analyses recent price behavior to estimate two key elements:
the average daily tendency of the market (called drift), and
the average daily variability (called volatility).
Here’s how it works, step by step:
Measures daily percentage changes (using logarithmic returns) to understand how much the price typically moves from one bar to the next.
It then calculates the average of those returns over a chosen historical window (for example, 70 bars).
If the average is positive → the market has a rising tendency (upward drift).
If the average is negative → the market tends to decline (downward drift).
At the same time, it computes the standard deviation of those returns — this shows how “wide” the movements are, i.e. how volatile the asset is.
Using these two measures — drift and volatility — it estimates where the price is statistically expected to move over the next N bars:
The mean projection (blue dashed line) represents the most likely price path.
The 1σ and 2σ lines (teal and gray) define confidence zones, where price is expected to remain about 68% and 95% of the time, respectively.
The model updates continuously with every new bar, recalculating both drift and volatility, so the projection cone expands, contracts, or changes direction depending on the latest market behavior.
📉 Interpretation of the Blue Line
The blue dashed line (pMean) is the statistical forecast path of price over the next N bars.
🔹 When the blue line is below the current price
The recent drift (average log return) is negative → the model expects a gradual decline.
Interpretation:
The prevailing statistical bias is bearish — the market is expected to move lower toward equilibrium.
🔹 When the blue line is above the current price
The recent drift is positive → the model expects a continued rise.
Interpretation:
The price is statistically likely to trend upward, maintaining momentum in the direction of the current drift.
🔹 When the blue line is sloping upward
The mean projection pMean is rising with each new bar.
Indicates positive drift → the average daily return is positive.
Interpretation:
The asset is in a growth phase; volatility bands act as potential expansion corridors.
🔹 When the blue line is sloping downward
The mean projection pMean decreases bar after bar.
Indicates negative drift → average daily return is negative.
Interpretation:
The asset is in a corrective or declining phase, with volatility determining potential drawdown limits.
🔹 When the blue line is flat
The drift (μ) is approximately zero.
Interpretation:
The model sees no directional bias; price equilibrium dominates.
Expect a sideways range unless new volatility (σ) expansion occurs.
📈 How to Read the Entire Projection
Blue dashed line → expected mean path (most probable price trajectory).
Teal lines (±1σ) → statistically normal range (≈68% of future outcomes).
Gray lines (±2σ) → extreme bounds (≈95% of outcomes).
Labels on the right show exact forecast prices for each band.
If the actual price moves outside the gray 2σ range →
→ it signals volatility breakout or regime shift, meaning the past volatility no longer explains the present movement.
🧮 Summary Table
Located at the top-right corner, it provides:
Field Description
Projection (days) Number of bars used for projection (h).
Anchor price Starting close used for forecast.
Mean target (h) Expected price after h bars (blue line endpoint).
1σ Band (↓ / ↑) 68% confidence interval.
2σ Band (↓ / ↑) 95% confidence interval.
Expected return Projected % change from current close to mean target.
Colors can be customized — for example:
white headers,
aqua for anchor price,
lime for target,
orange/red for σ bands,
yellow for expected return.
🧠 Practical Meaning
Blue Line State Interpretation Bias
Above price, rising Ongoing positive drift Bullish
Below price, falling Negative drift Bearish
Flat, near price Neutral drift Sideways
Steep slope Strong directional momentum Trend confirmation
Price > +2σ band Excess volatility / overextension Possible correction
Price < −2σ band Undervaluation or panic Reversion likely
⚡ Summary
Aspect Description
Purpose Statistical forecast of expected price range
Method Drift (μ) + Volatility (σ) from log returns
Outputs Mean projection (blue), 1σ & 2σ bands, expected return
Interpretation Directional bias from blue line and its slope
Recommended timeframe Daily
Best use Trend confirmation, probabilistic target estimation, volatility analysis.
Chris Apriliony Trading StrategyStockSchool Following Trend
Uses the Moving Average (MA) method to identify short-term, medium-term, and long-term trends.
Trades are made only when all trends align in the same direction,
which is indicated by a green candle.
adrianasibaja_ FTMO strategy + alertsThis is a TradingView strategy (Pine v5) for XAUUSD, designed for a $25,000 FTMO account.
It automates entries, risk control, and alerts for MetaTrader via PineConnector.
You can trade in four modes — Scalping, Balance, Swing, or Manual — each with optimized indicator settings.
This script:
Trades only when trend, momentum, and volatility align.
Uses ATR-based stops and targets for consistency.
Automatically enforces FTMO-style discipline.
Calculates lot size from fixed dollar risk or manual input.
Sends alerts to your MT5 bridge for real execution.
Smart Liquidity Zones v1 — for Gold only and for Trump🚀 Smart Liquidity Zones v1 – Fixed Filters + Stable Zones + Safe Stop
Designed exclusively for XAUUSD (Gold), this tool captures the true rhythm of liquidity hidden behind market volatility.
Originally engineered for the Trump-era gold movements, this version blends precision filtering, adaptive volatility logic, and secure dynamic stop levels — giving traders a structured edge in chaos.
💡 Whether you're scalping micro swings or analyzing multi-hour trends, the algorithm visualizes where the market’s liquidity traps lie — and how price reacts once those levels are engaged.
⚙️ Key Features
✨ Adaptive zone recognition system (smart filtering logic).
✨ Safe Stop framework with dynamic ATR buffer.
✨ Multi-layer filtering using candle, ATR, and volume behavior.
✨ Visual clarity with zone strength gradient for better risk reading.
✨ Auto-clean memory system for stable long sessions.
⚠️ Note: This tool is built exclusively for Gold traders (XAUUSD).
Optimized for 5m–1h charts. Works best during volatile sessions.
🧩 Settings Panel (Explained Without Revealing Logic)
🔹 Swing Length:
Controls how far the algorithm looks back to detect potential liquidity pivots.
(Higher = stronger zones, fewer signals.)
🔹 Extend To The Right:
How long the zone extends into the future — perfect for visual planning.
🔹 Zone Height:
Defines the visual range of each liquidity zone (recommended: 6.5 for Gold).
🔹 Min Distance Between Zones:
Prevents overlapping or cluttered zones to keep the chart clean.
🔹 Filters (ATR / Candle / Volume):
Three independent smart filters ensuring that only valid and powerful liquidity zones are drawn.
🔹 Dynamic Stop Buffer:
Automatically adjusts your safe stop level based on volatility (ATR).
🔹 Safe Stop Colors:
Customize visual clarity for stop levels — instantly spot your safety net.
⚡ Unique Concept
Built for traders who understand that liquidity is the market’s heartbeat,
and that true opportunity lies where stop hunts and smart money meet.
🟡 A smart visual system —
🔴 A safety layer for volatile times —
💰 And a nod to the wild gold markets during the Trump era.
📊 Recommended Use
Pair it with clean price action & structure.
Avoid indicator stacking — simplicity = power.
Gold (XAUUSD) only — this algorithm is not calibrated for forex pairs or crypto.
🔹 Best Settings for Gold:
Zone Height = 6.5
Swing Length = 10
Dynamic Stop Buffer = 0.5 ATR
Filters ON (ATR + Candle + Volume)
US Sentiment DashBoard [MaYsTrO]A fast, options-ready market dashboard that turns volatility, credit/liquidity, rotation, breadth, and macro tone into clear entries, risk triggers, and position size—without guesswork.
What it does
US Sentiment Board condenses the market’s moving parts into a single view designed specifically for call/put decisioning:
Regime & Core Trend – quick read on the major indices’ health.
Volatility + Structure Recommender – suggests Long Calls / Debit Spreads / Calendars based on IV state and term structure.
Liquidity Gate (PASS/WARN) – blends credit, USD, and rates into a single green-light.
Sector Rotation – shows where money is rotating so you focus long risk where it’s welcomed.
Breadth & Participation – gauges how many stocks are actually joining the move.
Macro & Safety – keeps a quiet eye on risk proxies without clutter.
Quick Alerts – simple “pay attention now” flags when conditions deteriorate.
Entry Checklist – one clean row that must be ✅ for new long calls.
Options Score → Position Size – converts the whole board into Full / Half / Probe / No Long Calls.
All logic is protected; the board shows results, not the recipe.
Who it’s for
Active traders who:
Trade single-name calls or index/sector options and want a pre-trade checklist.
Need a liquidity and volatility sanity check before pressing buy.
Prefer rules over vibes—with a dashboard that’s fast to read.
How to use it (quick start)
Glance at Market Mood and Core Trend to know if the wind is at your back.
Check Volatility and the Structure Recommender (calls vs. spreads vs. calendars).
Confirm the Liquidity Gate is PASS.
Make sure your target sector appears in Rotation (leaders > laggards).
Ensure Breadth supports the move.
Only enter when the Entry Checklist shows ✅.
Size the trade by the Options Score → Position Size row.
Works on
Any chart. Internally blends daily trend context with live data for “today” reads.
No user parameters needed; layout/visibility toggles are available for convenience.
Key notes
User must have the Ultimate TV plan in order of the indicator to work.
No repaint; signals confirm on bar close for the relevant timeframe.
The board does not place trades. It’s a decision aid for your own execution plan.
Data is subject to each symbol’s exchange feed and TradingView availability.
Support
Questions or access requests? DM MaYsTrO on TradingView.
Tags
sentiment, breadth, volatility, credit, rotation, options, risk, dashboard, liquidity
Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any security or derivative. Trading involves risk, including the risk of loss. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management. The author assumes no liability for any losses or damages resulting from the use of this script.
Protected code. Redistribution, modification, re-uploading, or derivative works are prohibited without the author’s written permission.
KI-StageSpot V3**🧭 KI-StageSpot V3**
An advanced multi-layer visual tool that identifies **Weekly Bases**, **Breakouts**, and **Stage progressions** using Wyckoff-style logic.
It automatically marks **Base Highs/Lows**, shows **Depth & Duration stats**, and highlights **Breakout zones** with customizable labels.
Includes:
* 📊 **Base detection & statistics** (depth %, weeks, merge logic)
* ⚡ **Breakout (BH/BO) markers**
* ☁️ **Daily EMA Cloud (10/20)** for trend confirmation
* 📈 **ST/MT/LT SMA zones** with **Stage Arrows** for phase shifts
* 🧾 **Custom watermark overlay** with ticker & timeframe
Perfect for analyzing **Stage 1–2 transitions**, base durations, and **trend maturity** across Daily/Weekly timeframes.
Trend Strength Detector TSDTrend Strength Detector (TSD)
*Objective Trend Quality Measurement for Educational Market Analysis*
Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication.
## 🎯 Purpose & Design Philosophy
The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"*
This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems.
## 🔗 Complementary Research Framework
### Designed to Work With Pattern Detection Systems
This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like:
- **RMBS Smart Detector - Multi-Factor Momentum System**
- Traditional chart pattern analyzers
- Any momentum-based pattern identification tools
🔍 **To find RMBS Smart Detector:**
- Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"`
- Look for: *Multi-Factor Momentum System*
- By author: ` `
### Why This Complementary Approach?
**Trend Quality Measurement** (TSD - this tool) provides:
- ✅ Structural trend alignment (0-100 score)
- ✅ Momentum intensity levels (0-100 score)
- ✅ Environment classification (Strong/Moderate/Weak)
- 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"*
### Educational Research Value
When used together in a research context, these tools enable systematic study of questions like:
- How do reversal patterns behave when Strength Score is above 70 vs below 30?
- Do continuation patterns in weakening environments (declining scores) show different characteristics?
- What is the correlation between high Alignment Scores and pattern "success rates"?
- Can environment classification help identify genuine trend initiation vs false starts?
⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent.
---
###Mathematical Foundation
##TSA Formula: scoring method developed by Ario
-Trend Model (0 – 100)
TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30)
EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure.
Price Position evaluates if Close is above/below all EMAs.
Consistency = 3 × max(bullish,bearish bars within 10 candles).
-Strength Model (0 – 100)
Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10)
ADX measures trend energy; Slope shows EMA momentum %;
RSI assesses zone positioning; MACD confirms directional agreement.
Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________
📊 Environment Classification
Based on Total Strength Score:
🟢 Strong Environment: Score ≥ 60
→ Well-defined momentum, clear directional bias
🟡 Moderate Environment: 40 ≤ Score < 60
→ Mixed signals, transitional conditions
🔴 Weak Environment: Score < 40
→ Ranging, choppy, low conviction movement
Color Coding:
• Green background: Strong (≥60)
• Yellow background: Moderate (40-59)
• Red background: Weak (<40)
________________________________________
📈 Visual Components
Main Chart Display
Score Labels (Top-Right Corner):
┌─────────────────────────────────┐
│ 📊 Alignment: 75 | Strength: 82 │
│ Environment: Strong 🟢 │
└─────────────────────────────────┘
Color-Coded Background:
• Environment strength visually indicated via background color
• Helps quick identification of market regime
• Customizable transparency (default: 90%)
Reference Lines:
• Dotted line at 60: Strong/Moderate threshold
• Dotted line at 40: Moderate/Weak threshold
• Mid-line at 50: Neutral reference
________________________________________
🔧 Customization Settings
Input Parameters
The best setting is the default mode.
🚫 Important Disclaimers & Limitations
What This Indicator IS:
✅ Educational measurement tool for trend quality research
✅ Quantitative assessment of current market environment
✅ Complementary analysis tool for pattern-based systems
✅ Historical data analyzer for systematic study
✅ Multi-factor scoring system based on technical calculations
What This Indicator IS NOT:
❌ NOT a trading system or signal generator
❌ NOT financial advice or trade recommendations
❌ NOT predictive of future price movements
❌ NOT a guarantee of pattern success/failure
❌ NOT a substitute for comprehensive risk management
________________________________________
Known Limitations
1. Lagging Nature:
⚠️ All components (EMA, ADX, RSI, MACD) are calculated
from historical price data
→ Scores reflect CURRENT and RECENT conditions
→ Cannot predict sudden reversals or black swan events
→ Trend measurements lag actual price turning points
2. Whipsaw Risk:
⚠️ In choppy/ranging markets, scores may fluctuate rapidly
→ Moderate zone (40-60) can see frequent transitions
→ Low timeframes more susceptible to noise
→ Consider higher timeframes for stable measurements
3. Component Conflicts:
⚠️ Individual components may disagree
→ Example: Strong ADX but weak RSI alignment
→ Scores average these conflicts (may hide nuance)
→ Check individual components for deeper insight
4. Not Predictive:
⚠️ High scores do NOT guarantee continuation
⚠️ Low scores do NOT guarantee reversal
→ Measurement ≠ Prediction
→ Use for CONTEXT, not SIGNALS
→ Combine with comprehensive analysis
________________________________________
Risk Acknowledgments
Market Risk:
• All trading involves substantial risk of loss
• Past performance (even systematic studies) does not guarantee future results
• No indicator, system, or methodology can eliminate market risk
Measurement Limitations:
• Scores are mathematical calculations, not market predictions
• Environmental classification is descriptive, not prescriptive
• Strong measurements can deteriorate rapidly without warning
Educational Purpose:
• This tool is designed for LEARNING about market structure
• Not designed, tested, or validated as a standalone trading system
• Any trading decisions are user’s sole responsibility
No Warranty:
• Indicator provided “as-is” for educational purposes
• No guarantee of accuracy, reliability, or profitability
• Users must verify calculations and apply critical thinking
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”
---
**Attribution & Fair Use Notice**
The Trend Strength Detector (TSD) scoring framework (Multi-Factor Momentum System) was originally designed and formulated by *Ahmadrezarahmati( Ario or Ario_ Pine Lab)*.
If you build upon, modify, or republish this logic—please include proper attribution to the original author. This request is made under a spirit of open collaboration and educational fairness.
tulsinanda Ribbonsbest above any band buy n cross down sell .bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbest indicator here line above is buy n lines down is sell .here analysis wave n price up n down we want tobest indicator here line above is buy n lines down is sell .here analysis wave n price up n down we want tobest indicator here line above is buy n lines down is sell .here analysis wave n price up n down we want tobest indicator here line above is buy n lines down is sell .here analysis wave n price up n down we want tobest indicator here line above is buy n lines down is sell .here analysis wave n price up n down we want tobest indicator here line above is buy n lines down is sell .here analysis wave n price up n down we want to
MA Oscillator Map [ChartPrime]⯁ OVERVIEW
The MA Oscillator Map transforms moving average deviations into an oscillator framework that highlights overextended price conditions. By normalizing the difference between price and a chosen moving average, the tool maps oscillations between -100 and +100 , with gradient coloring to emphasize bullish and bearish momentum. When the oscillator cools from extreme levels (-100/100), the indicator marks potential reversal points and extends short-term levels from those extremes. A compact side table and dynamic bar coloring make momentum context visible at a glance.
⯁ KEY FEATURES
Oscillator Mapping (±100 Scale):
Price deviation from the selected MA is normalized into a percentage scale, allowing consistent overbought/oversold readings across assets and timeframes.
// MA
MA = ma(close, maLengthInput, maTypeInput)
diff = src - MA
maxVal = ta.highest(math.abs(diff), 50)
osc = diff / maxVal * 100
Customizable MA Types:
Choose SMA, EMA, SMMA, WMA, or VWMA to fine-tune the smoothing method that powers the oscillator.
Extreme Signal Diamonds:
When the oscillator retreats from +100 or -100, the script plots diamonds to flag potential exhaustion and reversal zones.
Dynamic Levels from Extremes:
Upper and lower dotted lines extend from recent overextension points, projecting temporary barriers until broken by price.
Gradient Bar Coloring:
Candles and oscillator values adopt a bullish-to-bearish gradient, making shifts in momentum instantly visible on the chart.
Compact Momentum Map:
A table at the chart’s edge plots the oscillator position with a gradient scale and live percentage label for precise momentum tracking.
⯁ USAGE
Watch for diamonds after the oscillator exits ±100 — these mark potential exhaustion zones.
Use extended dotted levels as short-term reference lines; if broken, trend continuation is favored.
Combine gradient bar coloring with oscillator shifts for confirmation of momentum reversals.
Experiment with different MA types to adapt sensitivity for trending vs. ranging markets.
Use the side momentum table as a quick-read gauge of trend strength in percent terms.
⯁ CONCLUSION
The MA Oscillator Map reframes moving average deviations into a visual momentum tracker with extremes, reversal signals, and dynamic levels. By blending oscillator math with intuitive visuals like gradient candles, diamonds, and a live gauge, it helps traders spot overextension, exhaustion, and momentum shifts across any market.
OTS Trend Suite (Open Trend System)OTS (Open Trend System)
Components
Trend Suite (overlay): Macro Trend Bars + Track, Micro Dots, Reversal “R” (+2 bar confirm), T/B (+1), (opt) Strength/Weakness arrows.
Confirmation (panel): RSI 3-line + momentum crosses, (opt) divergences; Thrust histogram (Blue/Green/Red/Orange via z-score).
Support/Resistance (overlay): pivot-temelli dinamik S/R çizgileri.
Presets & Micro-cap Notes
Equity-4H: ATR(14)×2.0 macro track, BB(20,2.0), wickFrac 0.65 — liquid US equities, intraday swing focus.
Equity-1D (small/micro): ATR(14)×2.2 macro track, BB(20,2.2), wickFrac 0.70 — dampens noise for thin micro-cap sessions.
FX-1H: Retains ATR(10)×2.2 profile for tighter FX structures; enable Custom for bespoke tuning.
RTH-only thrust: Panel default keeps 09:30–16:00 ET (session input) so after-hours volume spikes stop inflating micro-cap thrust z-scores.
Market Microstructure Notes (US Equities)
SIP / CTA-UTP plumbing: Consolidated tapes publish NBBO and LULD bands; thrust auto-cal keeps RTH default so AH/SIP hiccups do not distort robust z quantiles.
LULD reopen guard: Without a real-time halt feed we flag session-open gaps ≥ gapThresh as reopen-like and suppress entries for that bar; manual labels remain for review while Python backtests can plug in full halt datasets.
Survivorship-free calibration: Use Norgate/CRSP EOD universes when deriving quantile windows so delisted micro-caps do not bias thrust tails during auto-bucket calibration.
Non-repainting: Trade sinyali yalnız onay sonrası. Financial disclaimer: Eğitim amaçlıdır.
Operator Quickstart (US Equities – Small/Micro-cap)
Overlay: OTS Trend Suite → Preset = Equity-1D (small/micro) (günlük) veya Equity-4H (iç seans).
Panel: OTS Confirmation → Use RTH only açık (09:30–16:00). Micro-cap’te AH hacim sapmalarını ezer.
S/R: OTS Support/Resistance → max lines 8; range yoğunluklarında okunabilirlik için iyi.
Preset Mapping
Preset ATR× BB wickFrac pivotL Micro ATR×
Equity-4H 14×2.0 20×2.0 0.65 6 7×1.5
Equity-1D (small/micro) 14×2.2 20×2.2 0.70 6 7×1.5
FX-1H 10×2.2 20×2.2 0.60 6 7×1.5
Alert Reference
Alert Anlam İşlem Disiplini
Macro Trend Flip Ana trend rengi değişti Pozisyon yönünü yalnız trend yönünde tut
R / R✓ Tersine dönüş barı / onaylandı Yalnız R✓ sonrası trade
T / T✓ Lokal tepe / onaylandı T✓’de kar al/short araması
B / B✓ Lokal dip / onaylandı B✓’de long araması
RSI Bull/Bear Momentum kesişimi Sinyal teyidi
Thrust ORANGE Aşırı kurumsal baskı Breakout/kapitulasyon teyidi
Micro-cap Notları
RTH-only Thrust: AH sapmaları şişer; RTH filtre varsayılan.
Compact Mode: dot/etiket/ok spam’ini azaltır; tarama performansı için aç.
Halts/LULD: Re-open barı genelde işlem dışı bırakmak daha temiz sinyal verir (ileri sürümde toggle).
Manual QA (hızlı)
SPY 4H: Macro flip ve Strength/Weakness okları trend içinde kalıyor mu?
IWM 1D: RTH-only Thrust renkleri stabil mi?
3–5 micro-cap: Equity-1D preset + Compact Mode on/off görsel karşılaştır.
Testing
How to run: source .venv/bin/activate && make dev-setup && make lint && make test
What's covered: R-confirm window, macro flip debounce, robust thrust + RTH gating.
Environment Notes
Python 3.11 is the supported baseline. Python 3.13 is workable as long as pip resolves numpy>=2.1.0 (handled by the conditional pin).
Snapshots render charts with the non-interactive Matplotlib Agg backend (MPLBACKEND=Agg set by default).
yfinance downloads are chunked (<=25 tickers) with threads=True and paced sleeps to reduce rate-limit risk.
Snapshot (No-TradingView)
Calibrated quantiles → pGreen=0.70, pOrange=0.98 (micro-cap tails). gap_thresh=0.10 default. Use --interval (1d, 60m, 30m) to choose resolution; daily bars rely on first-of-day fallback for the guard. How to run:
source .venv/bin/activate
make dev-setup
python apps/py/snapshots/run_equities_snapshot.py --tickers-file data/inputs/microcaps.txt --start 2024-01-01
What it produces:
CSV exports under reports/snapshots// covering summary metrics, trade blotter, thrust buckets, and guard suppressions.
PNG charts in reports/snapshots//charts/ illustrating price, macro track, and entry/exit markers for active symbols.
guard_suppressed counts highlight bars skipped by the LULD reopen guard; thrust shares show time in each thrust regime; R-multiple aggregates trade efficiency relative to ATR risk.
Provider & Fallbacks
--provider yf|csv|synthetic selects the data backend (default yf).
--csv-dir should point at a folder containing .csv files with columns Date,Open,High,Low,Close,Volume (case-insensitive).
--tz controls the output timezone for timestamps (default America/New_York). Synthetic fallbacks respect US trading hours, DST shifts, and NYSE holiday/early-close calendars in the selected timezone.
Synthetic generation is controlled via --synthetic-seed, --synthetic-gap-prob, and --synthetic-gap-scale; the runner seeds a Laplace gap model around a 2%/√252 daily volatility baseline.
yfinance downloads automatically write CSV caches under --csv-dir and reuse them on subsequent 429 retries before falling back to synthetic data (provider_used=csv_cache/yf_synthetic_fallback).
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Global Crash & Rally IndicatorGlobal Crash & Rally Indicator for TradingView:
Detect Market Crashes and Rallies with Precision
Unlock the Power of Global Market Insights:
Your Ultimate Stock Market Crash Detector and Rally Signal Tool 📈⚠️
In the volatile world of stock trading, staying ahead of market crashes and spotting rally opportunities can make all the difference between massive gains and devastating losses.
The Global Crash & Rally Indicator – a cutting-edge TradingView Pine Script tool, has been designed to monitor global financial signals in real-time. Whether you're a day trader, swing trader, or long-term investor, this indicator acts as your early warning system for potential market downturns and upswings, helping you navigate the complexities of the stock market with confidence.
Traders often search "stock market crash indicator," "global rally detector," "TradingView crash alert," and "market volatility tool,", this indicator ends your endless search and is a must-try for serious traders who want to protect their portfolio and capitalize on bullish/bearish trends.
What Makes the Global Crash & Rally Indicator Stand Out? 🚀
This advanced indicator goes beyond basic price analysis by integrating a wide array of global economic and market factors. It scans for signs of stress across major indices, volatility measures, currency movements, and commodity prices to provide a comprehensive view of market health. Here's what you can expect:
Real-Time Crash Warnings ⚠️ :
Get alerted to potential market crashes through color-coded signals – from watchful orange alerts to critical red crisis modes. It identifies emerging risks early, giving you time to adjust your positions.
Rally Detection for Bullish Opportunities 📈 :
Not just a downside protector, this tool highlights bullish regimes with green signals, spotting when markets are poised for strong upward moves. Ideal for identifying entry points during recoveries or bull runs and tells you when you can stay in the trade.
Multi-Factor Analysis 🔍 :
it monitors key global elements like volatility spikes, yield changes, risk-off assets, breadth metrics, and more – all without overwhelming you with data. The intuitive table UI displays metrics, values, risks, and notes in an easy-to-read format.
Probability Estimates 📊 :
The probability model of this Indicator offers probabilistic insights into downside and upside risks, helping you gauge the likelihood of market moves with percentage-based forecasts.
Customizable Alerts 🔔 :
Set up notifications for crash cautions, crisis starts, rally watches, and rally go signals by setting up just 01 alert. Perfect for day trading strategies or manual oversight.
Optimized for Traders ⚙️:
Whether searching for "best TradingView indicator for market crashes" or "global stock rally scanner," this tool ranks high in utility, delivering actionable insights tailored to US and international markets.
With its focus on intraday timeframes (like 5-min, 15-min, or 60-min charts), the indicator is versatile for use on major indices such as SPX, VIX, DXY, and beyond. It's built to handle up to 5000 bars back, ensuring historical accuracy without performance lags.
How to Use the Global Crash & Rally Indicator on TradingView 🛠️
Add to Your Chart: Search for "Global Crash & Rally Indicator" in TradingView's indicator library and apply it to your preferred chart (e.g., SPX or ES futures).
Customize Settings: Adjust inputs like analysis timeframe, thresholds for warnings, and optional filters (e.g., currency jumps) to fit your trading style. Enable 3-of-4 warning mode for stricter signals.
Interpret the Signals:
Background Colors: Green for safe/bullish, orange for warnings, red for crises.
Table Breakdown:
Check the on-chart table for detailed metrics on VIX changes, breadth, basis stress, and macro health.
Alerts:
Use the built-in alert conditions to get notified via email, app, or webhook when key events trigger.
Combine with Strategies:
Pair it with your favorite oscillators, moving averages, or volume indicators for enhanced decision-making in forex, stocks, crypto, or commodities.
No need for complex setups –
it's plug-and-play, yet powerful enough for professional traders monitoring global events.
Why Traders Love This Market Volatility Tool ❤️
Imagine having a "sixth sense" for when the market is about to crack or soar. Users rave about its ability to flag hidden risks that traditional indicators miss, such as subtle shifts in market depth or global macro stress. It's not just a crash detector; it's a rally detector too, helping you ride waves of optimism while sidestepping pitfalls.
In an era of geopolitical tensions, economic uncertainties, and rapid news cycles, this indicator empowers you to trade smarter. It's SEO-friendly for discovering terms like "best indicator for detecting stock market rallies" or "global financial crash predictor," ensuring you find the edge you need.
Best Features and Rating 🤖
Various AI tools rate its best features to be its holistic multi-factor approach that blends volatility, breadth, and macro signals into a seamless, probabilistic framework, plus the user-friendly table UI that makes complex data meaningful at a glance.
Join the Conversation! 💬
What are your thoughts on the Global Crash & Rally Indicator? Have you spotted any crashes or rallies using similar tools? Share your experiences, strategies, or questions in the comments below – let's discuss and help each other thrive in the markets! Get connected for a free trial via contact method mentioned in our profile page.
KAB 1.2 Beta🚀 KAB 1.2 Indicator by Lastkingkoby 📈
Unlock the power of smart trading with KAB 1 – your ultimate all-in-one tool for spotting 🔑 support/resistance levels and generating 💰 gold-standard buy/sell signals! Crafted by Koby A. Brown (@Lastkingkoby), this Pine Script v5 indicator overlays directly on your charts for seamless analysis. Perfect for traders hunting for high-probability setups in volatile markets! 🌟
🔰 Key Features:
Dynamic Support & Resistance Lines 🛡️⚔️:
Automatically draws robust S/R lines using a blend of RSI, CMO (based on HMA), and pivot calculations. Watch lines evolve in real-time – they break on breaches 🚧, count bounces 🔄, and even flip roles (e.g., support turns resistance) when conditions change! Customizable timeframe for multi-TF precision. Labels show "Support Line" or "Flipped Res" with color-coded vibes (green for support 💚, orange for resistance 🟠).
Gold Prediction & Signals 🔮💹:
Powered by a sophisticated range filter with smoothed averages and multipliers, it detects trends with upward/downward counters. Get clear bar colors: lime for strong buys 🟢, red for sells 🔴, and more! Signals include:
Buy/Long 💸: Bullish conditions with SL suggestions based on lower bands.
Sell/Short 🐻: Bearish triggers with SL from upper bands.
Warning Alerts ⚠️: Spots potential failed bounces (e.g., "Short Warn" or "Long Warn") to avoid traps – ideal for risk management!
Visuals & Alerts 📊🚨:
Enjoy colorful plots: filter line in green/red/orange 🎨, high/low bands in aqua/fuchsia with translucent fills 🌈. Bar colors highlight momentum shifts. Set up alerts for new S/R lines, buys, sells, and warnings – never miss a move!
📝 How to Use:
Add to your chart and tweak inputs like S/R Timeframe, Gold Period (default 100), or Range Coeff (default 5.0) for your style.
Look for confluences: Buy near flipped support 💪, sell at resistance breakdowns 📉.
Combine with your strategy for crypto, forex, or stocks – it's overlay-friendly!
Pro Tip: Use on higher timeframes for major levels, lower for intraday scalps. Trade smart, stay profitable! 🤑📉
© Koby "Lastkingkoby" Brown – Elevate your game today! 🚀
🚀 DocBrown V73++ EstrategiaStrategy Overview
The "DocBrown V73+ Unified Strategy" is a complex and multifaceted algorithmic trading system designed to operate in trending markets. Its core strategy is following the main trend, but its main strength lies in the numerous risk management modules and market filters it uses to protect capital and optimize trade exits.
The strategy combines classic trend indicators (EMAs, MACD, ADX) with volatility analysis (Bollinger Band Width) and volume to identify high-probability entry points. However, its most distinctive feature is its sophisticated exit system, which includes multiple Stop Loss (SL) and Take Profit (TP) types that adapt to various market conditions.
Entry Logic
To open a position (long or short), the strategy evaluates a set of conditions. The main entry is based on:
Market Regime Filter: This is a master filter that ensures trading is only carried out in favorable trend conditions. To do this, it simultaneously requires:
A minimum ADX to confirm the strength of the trend.
A minimum Bollinger Band Width (BBW) to ensure sufficient volatility.
A minimum slope in the slow EMA to confirm the market's direction.
EMA Alignment: Uses three Exponential Moving Averages (fast, medium, and slow). A long entry requires the fast EMA to be above the average, and the average above the slow EMA. For a short entry, the condition is the reverse.
Momentum Confirmation: The MACD must be crossed in the direction of the trade (the MACD line must be above the signal line for longs, and vice versa for shorts).
Volume Filter: The volume of the current candle must exceed a minimum ratio compared to its moving average to avoid signals of low market interest.
Trend Exhaustion Filter: Prevents new entries if the ADX, after reaching a very high peak, begins to decline, suggesting that the trend may be losing strength.
It also includes an alternative entry condition based on a "3-Candle Momentum," which looks for three consecutive candles in the same direction with progressively increasing volume, signaling a possible explosive move.
Risk Management and Exit Strategies
This is the most complex and robust part of the strategy, with multiple defense and profit-taking mechanisms:
Take Profit (TP)
Dynamic TP (Enabled by default): Instead of a fixed target, the strategy calculates the TP based on the nearest support and resistance levels. For a long position, it will look for the next resistance, and for a short position, the next support.
Trailing After a Breakout: If the price breaks an S&R level and the trade continues in favor, the strategy can move the SL to that broken level and recalculate a new TP target.
Stop Loss (SL) and Defensive Closes
The strategy features an arsenal of different types of Stop Losses for different situations:
Breakeven SL: Once the trade reaches a predefined profit percentage, the SL automatically moves to the entry price plus a small buffer to cover commissions. This ensures that a winning trade doesn't turn into a losing one.
Safety Bracket (Anti-Liquidation): This is an "emergency stop" that can be activated to prevent catastrophic losses. It is calculated based on the ATR or a fixed percentage of the price.
Adverse Volume Spike SL: Closes the position if a candle appears against the trade with abnormally high volume, which may indicate a violent reversal.
Consecutive Candle SL: If a certain number of candles (for example, 3.5) form in a row against the position, the strategy closes the trade to cut the loss.
Stagnant Stop: Closes the trade if it enters a loss and the price then remains sideways (without movement) for a defined number of bars, avoiding being trapped in a directionless position.
Derivative Stop (Anti-Trend and Counter-Trend): An advanced system that monitors price momentum and acceleration. If it detects that the price begins to move sharply against the trend after accumulating a certain amount of profit, it closes the position to protect profits.
Drawdown Stop (Loss): A special trailing stop that is only activated while the trade is in a loss. If the price attempts to recover but then falls again, this Stop is adjusted to minimize the loss from the peak of that small recovery.
Counter-Trend SL (BB-CT): Closes the position if, despite being in profit, the market shows clear signs of a trend reversal, such as the price returning within the Bollinger Bands and the MACD crossing against it.
Additional Features
Multi-Timeframe (MTF) Analysis: The strategy can run on a single chart (e.g., 1-minute) but makes all its decisions based on data from a longer timeframe (e.g., 5 or 15 minutes), allowing it to filter out market noise.
Frequency Control: Includes options to limit trades to one per candle and to set a cooldown period after closing a trade, preventing overtrading.
Date Filter: Allows backtesting over a specific timeframe.
Information Panel: Displays key data such as the strategy status, current TP/SL levels, unrealized profits (MFE), and the status of internal signals in real time on the chart.
Full Display: Draws S&R levels, EMAs, Bollinger Bands, and active entry, TP, and SL levels on the chart.
IMPORTANT:
Use in Isolated Leverage x5 (limit), start small and test tokens before jumping in.
DONATIONS: Token: USDT - Network: BSC Binance Smart Chain
Wallet: 0xe87b4589a53443d8ffed2e9b5a7ef58f261f087c
SuperBandsI've been seeing a lot of volatility band indicators pop up recently, and after watching this trend for a while, I figured it was time to throw my two chips in. The original spark for this idea came years ago from RicardoSantos's Vector Flow Channel script, which used decay channels with timed events in an interesting way. That concept stuck with me, and I kept thinking about how to build something that captured the same kind of dynamic envelope behavior but with a different mathematical foundation. What I ended up with is a hybrid that takes the core logic of supertrend trailing stops, smooths them heavily with exponential moving averages, and wraps them in Donchian-style filled bands with momentum-based color gradients.
The basic mechanism here is pretty straightforward. Standard supertrend calculates a trailing stop based on ATR offset from price, then flips direction when price crosses the trail. This implementation does the same thing but adds EMA smoothing to the trail calculation itself, which removes a lot of the choppiness you get from raw supertrend during sideways periods. The smoothing period is adjustable, so you can tune how reactive versus stable you want the bands to be. Lower smoothing values make the bands track price more aggressively, higher values create wider, slower-moving envelopes that only respond to sustained directional moves.
Where this diverges from typical supertrend implementations is in the visual presentation and the separate treatment of bullish and bearish conditions. Instead of a single flipping line, you get persistent upper and lower bands that each track their own trailing stops independently. The bullish band trails below price and stays active as long as price doesn't break below it. The bearish band trails above price and remains active until price breaks above. Both bands can be visible simultaneously, which gives you a dynamic channel that adapts to volatility on both sides of price action. When price is trending strongly, one band will dominate and the other will disappear. During consolidation, both bands tend to compress toward price.
The color gradients are calculated by measuring the rate of change in each band's position and converting that delta into an angle using arctangent scaling. Steeper angles, which correspond to the band moving quickly to catch up with accelerating price, get brighter colors. Flatter angles, where the band is moving slowly or staying relatively stable, fade toward more muted tones. This gives you a visual sense of momentum within the bands themselves, not just from price movement. A rapidly brightening band often precedes expansion or breakout conditions, while fading colors suggest the trend is losing steam or entering consolidation.
The filled regions between price and each band serve a similar function to Donchian channels or Keltner bands, creating clearly defined zones that represent normal price behavior relative to recent volatility. When price hugs one band and the fill area compresses, you're in a strong directional regime. When price bounces between both bands and the fills expand, you're in a ranging environment. The transparency gradients in the fills make it easier to see when price is near the edge of the envelope versus safely inside it.
Configuration is split between bullish and bearish settings, which lets you asymmetrically tune the indicator if you find that your market or timeframe has different characteristics in uptrends versus downtrends. You can adjust ATR period, ATR multiplier, and smoothing independently for each direction. This flexibility is useful for instruments that exhibit different volatility profiles during bull and bear phases, or for strategies that want tighter trailing on longs than shorts, or vice versa.
The ATR period controls the lookback window for volatility measurement. Shorter periods make the bands react quickly to recent volatility spikes, which can be beneficial in fast-moving markets but also leads to more frequent whipsaws. Longer periods smooth out volatility estimates and create more stable bands at the cost of slower adaptation. The multiplier scales the ATR offset, directly controlling how far the bands sit from price. Smaller multipliers keep the bands tight, triggering more frequent direction changes. Larger multipliers create wider envelopes that give price more room to move without breaking the trail.
One thing to note is that this indicator doesn't generate explicit buy or sell signals in the traditional sense. It's a regime filter and envelope tool. You can use band breaks as directional cues if you want, but the primary value comes from understanding the current volatility environment and whether price is respecting or violating its recent behavioral boundaries. Pairing this with momentum oscillators or volume analysis tends to work better than treating band breaks as standalone entries.
From an implementation perspective, the supertrend state machine tracks whether each direction's trail is active, handles resets when price breaks through, and manages the EMA smoothing on the trail points themselves rather than just post-processing the supertrend output. This means the smoothing is baked into the trailing logic, which creates a different response curve than if you just applied an EMA to a standard supertrend line. The angle calculations use RMS estimation for the delta normalization range, which adapts to changing volatility and keeps the color gradients responsive across different market conditions.
What this really demonstrates is that there are endless ways to combine basic technical concepts into something that feels fresh without reinventing mathematics. ATR offsets, trailing stops, EMA smoothing, and Donchian fills are all standard building blocks, but arranging them in a particular way produces behavior that's distinct from each component alone. Whether this particular arrangement works better than other volatility band systems depends entirely on your market, timeframe, and what you're trying to accomplish. For me, it scratched the itch I had from seeing Vector Flow years ago and wanting to build something in that same conceptual space using tools I'm more comfortable with.
Bitgak [Osprey]🟠 INTRODUCTION
Bitgak , translated as "Oblique Angle" in Korean, is a strategy used by multi-hundred-million traders in Korea, sometimes more heavily than Fibonacci retracement.
It is a concept that by connecting two or more pivot points on the chart and creating equidistant parallel lines, we can spot other pivot points. As seen in the example, a line at a different height but with the same angle spots many pivot points.
This indicator spots pivot points on the chart and tests all different possible Bitgak lines with a brute-force method. Then it shows the parallel line configuration with the most pivots hitting it. You may use the lines drawn on the chart as possible reversal points.
It is best to use on Day and Week candles . In the very short range of time, the noise makes it hard to capture meaningful data.
🟠 HOW TO USE
The orange dots are the major pivot points (you can set the period of the long-term pivot) upon which the lines are built.
Change the "Manual Lookback Bars" from 300 to a meaningful period upon your inspection.
"Hit Tolerance %" means how close a pivot needs to be to the line to be considered as having touched the line.
If the line is too narrow, which is not very useful, you may consider increasing the "Long-term Pivot Bars" and experimenting with different settings for Channel Lines and Heuristics.
The result:
"Top Anchors to Test (L)" is how many L highest peaks and L lowest troughs should be weighed heavily when testing the lines. That is, with L = 1, the algorithm will reward the Bitgak lines that touch 1 highest peak and 1 lowest trough. It doesn't make much intuitive sense, so I suggest just testing it out.
🟠 HOW IT WORKS
Step 1: Pivot Detection
The indicator runs two parallel detection systems:
Short-term pivots (default: 7 bars on each side) - Captures minor swing highs/lows for detailed analysis
Long-term pivots (default: 17 bars on each side) - Identifies major structural turning points
These pivots form the foundation for all channel calculations.
Step 2: Anchor Point Selection
From the detected long-term pivots, the algorithm identifies:
The L highest peaks (default L=1, meaning the single highest peak)
The L lowest troughs (default L=1, meaning the single lowest trough)
These become potential "anchor points" for channel construction. Higher L values test more combinations but increase computation time.
Step 3: Channel Candidate Generation
For support channels: Every pair of troughs becomes a potential base line (A-B)
For resistance channels: Every pair of peaks becomes a potential base line (A-B)
The algorithm then tests each peak (for support) or trough (for resistance) as pivot C.
Step 4: Optimal Spacing Calculation
For each A-B-C combination, the algorithm calculates:
Unit Spacing = (Distance from C to A-B line) / Multiplier
It tests multipliers from 0.5 to 4.0 (or your custom range), asking: "If pivot C sits on the 1.0 line, what spacing makes the most pivots hit other lines?"
Step 5: Scoring & Selection
Each configuration is scored by counting how many pivots fall within tolerance (default 1% of price) of any parallel line in the range . The highest-scoring channel is drawn on your chart.
Medium-Term Valuation | MiesOnChartsThis medium-term valuation indicator integrates multiple valuation metrics to assist investors in identifying oversold and overbought market conditions with greater precision.
How to Interpret:
The indicator employs adaptive standard deviation bands to define extreme market zones. The red band signals a strongly overbought condition, while the green band indicates a significantly oversold condition.
How to Apply:
Investors can leverage these extreme levels as strategic points for taking profits or implementing dollar-cost averaging (DCA) strategies, optimizing entry and exit decisions in the market.
Disclaimer: NOT Financial advice. Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
Scalper Pro Pattern Recognition & Price ActionOVERVIEW
Scalper Pro is a comprehensive multi-timeframe trading indicator that combines Smart Money Concepts (SMC) with traditional technical analysis to provide scalpers and day traders with high-probability entry and exit signals. This indicator integrates multiple analytical frameworks into a unified visual system designed specifically for short-term trading strategies.
ORIGINALITY & PURPOSE
What Makes This Script Original
This script is not a simple mashup of existing indicators. Instead, it represents a carefully orchestrated integration of complementary analytical methods that work together to solve a specific problem: identifying high-probability scalping opportunities in volatile markets.
The unique value proposition:
Adaptive Trend Filtering System - Combines a customized SuperTrend algorithm with dual-period range filters (Cirrus Cloud) and Hull Moving Average trend cloud to create a three-layer trend confirmation system
Smart Money Concepts Integration - Incorporates institutional trading concepts (Order Blocks, Fair Value Gaps, Break of Structure) with retail technical indicators for a complete market structure view
Dynamic Risk Management - Automatically calculates stop-loss and take-profit levels based on ATR volatility, providing objective position sizing
ADX-Based Market Regime Detection - Identifies ranging vs. trending markets through ADX analysis with visual bar coloring to prevent whipsaws during consolidation
Why Combine These Specific Components
Each component addresses a specific weakness in scalping:
SuperTrend provides the primary directional bias but can generate false signals in ranging markets
Range Filters smooth out noise and confirm trend direction, reducing SuperTrend false positives
ADX Analysis prevents trading during low-volatility consolidation when most indicators fail
SMC Elements identify institutional activity zones where price is likely to react strongly
ATR-Based Risk Management adapts position sizing to current volatility conditions
The synergy creates a system where signals are only generated when multiple confirmation layers align, significantly reducing false signals common in single-indicator approaches.
HOW IT WORKS
Core Calculation Methodology
1. SuperTrend Signal Generation
The script uses a modified SuperTrend algorithm with the following calculation:
ATR = Average True Range (default: 10 periods)
Factor = 7 (default sensitivity multiplier)
Upper Band = Source + (Factor × ATR)
Lower Band = Source - (Factor × ATR)
Directional Logic:
When price crosses above SuperTrend → Bullish signal
When price crosses below SuperTrend → Bearish signal
SuperTrend value is plotted as dynamic support/resistance
Key Modification: The sensitivity parameter (nsensitivity * 7) allows users to adjust the aggressiveness of trend detection without changing the core ATR calculation.
2. Range Filter System (Cirrus Cloud)
The Range Filter uses a smoothed range calculation to filter out market noise:
Smooth Range Calculation:
WPER = (Period × 2) - 1
AVRNG = EMA(|Price - Price |, Period)
Smooth Range = EMA(AVRNG, WPER) × Multiplier
Two-Layer System:
Layer 1: 22-period with 6x multiplier (broader trend)
Layer 2: 15-period with 5x multiplier (tighter price action)
Visual Output: The space between these two filters is colored:
Green fill = Bullish trend (Layer 1 > Layer 2)
Red fill = Bearish trend (Layer 1 < Layer 2)
This creates a "cloud" that expands during strong trends and contracts during consolidation.
3. ADX Market Regime Detection
Calculation:
+DM = Positive Directional Movement
-DM = Negative Directional Movement
True Range = RMA of True Range (15 periods)
+DI = 100 × RMA(+DM, 15) / True Range
-DI = 100 × RMA(-DM, 15) / True Range
ADX = 100 × RMA(|+DI - -DI| / (+DI + -DI), 15)
Threshold System:
ADX < Threshold (default 15) = Ranging market → Bar color changes to purple
ADX > Threshold = Trending market → Normal bar coloring applies
Purpose: This prevents taking trend-following signals during sideways markets where most indicators produce whipsaws.
4. Smart Money Concepts (SMC) Integration
Order Blocks (OB):
Identified using swing high/low detection with customizable pivot length
Bullish OB: Last down-close candle before bullish Break of Structure (BOS)
Bearish OB: Last up-close candle before bearish BOS
Extended forward until price breaks through them
Fair Value Gaps (FVG):
Detected when a three-candle gap exists:
Bullish FVG: Low > High
Bearish FVG: High < Low
Filtered by price delta percentage to ensure significant gaps
Displayed as boxes that delete when price fills the gap
Break of Structure (BOS) vs. Change of Character (CHoCH):
BOS = Price breaks the previous structural high/low in the current trend direction
CHoCH = Price breaks structure in the opposite direction (potential trend reversal)
Both internal (minor) and swing (major) structures are tracked
Equal Highs/Lows (EQH/EQL):
Detected when consecutive swing highs/lows are within ATR threshold
Often indicates liquidity pools that price may sweep before reversing
5. ATR-Based Risk Management
Calculation:
ATR Band = ATR(14) × Risk Multiplier (default 3%)
Stop Loss = Entry - ATR Band (for longs) or Entry + ATR Band (for shorts)
Take Profit Levels:
TP1 = Entry + (Entry - Stop Loss) × 1
TP2 = Entry + (Entry - Stop Loss) × 2
TP3 = Entry + (Entry - Stop Loss) × 3
Dynamic Labels: Stop loss and take profit levels are automatically calculated and displayed as labels on the chart when new signals trigger.
6. Hull Moving Average Trend Cloud
HMA = WMA(2 × WMA(Close, Period/2) - WMA(Close, Period), sqrt(Period))
Period = 600 bars (long-term trend)
The HMA provides a smoothed long-term trend reference that's more responsive than traditional moving averages while filtering out short-term noise.
HOW TO USE THE INDICATOR
Entry Signals
Primary Buy Signal:
SuperTrend changes to green (price crosses above)
ADX shows market is NOT ranging (bars are NOT purple)
Price is within or near a bullish Order Block OR bullish FVG
Cirrus Cloud shows green fill (Layer 1 > Layer 2)
Primary Sell Signal:
SuperTrend changes to red (price crosses below)
ADX shows market is NOT ranging
Price is within or near a bearish Order Block OR bearish FVG
Cirrus Cloud shows red fill (Layer 1 < Layer 2)
Confirmation Layers
Higher Probability Trades Include:
Bullish/Bearish BOS in the same direction as signal
Equal highs/lows being swept before entry
Price respecting premium/discount zones (above/below equilibrium)
Multiple timeframe alignment (use MTF settings)
Exit Strategy
The indicator provides three take-profit levels:
TP1: Conservative target (1:1 risk-reward)
TP2: Moderate target (2:1 risk-reward)
TP3: Aggressive target (3:1 risk-reward)
Suggested Exit Approach:
Close 1/3 position at TP1
Move stop to breakeven
Close 1/3 position at TP2
Trail remaining position or exit at TP3
Risk Management
Stop Loss:
Use the ATR-based stop loss level displayed on chart
Alternatively, use percentage-based stop (adjustable in settings)
Never risk more than 1-2% of account per trade
Position Sizing:
Position Size = (Account Risk $) / (Entry Price - Stop Loss Price)
CUSTOMIZABLE SETTINGS
Core Parameters
Buy/Sell Signals:
Toggle signals on/off
Adjust SuperTrend sensitivity (0.5 - 2.0)
Risk Management:
Show/hide TP/SL levels
ATR period (default: 14)
Risk percentage (default: 3%)
Number of decimal places for price labels
Trend Features:
Cirrus Cloud display toggle
Range filter periods (x1, x2, x3, x4)
Hull MA length for trend cloud
Smart Money Concepts:
Order Block settings (swing length, display count)
Fair Value Gap parameters (auto-threshold, extend length)
Structure detection (internal vs swing)
EQH/EQL threshold
ADX Settings:
ADX length (default: 15)
Sideways threshold (10-30, default: 15)
Bar color toggle
Display Options:
Previous day/week/month high/low levels
Premium/Discount/Equilibrium zones
Trend candle coloring (colored or monochrome)
BEST PRACTICES & TRADING TIPS
Optimal Use Cases
Scalping on lower timeframes (1m, 5m, 15m)
Rapid entry/exit with clear TP levels
ADX filter prevents choppy market entries
Day trading on medium timeframes (30m, 1H)
Stronger trend confirmation
Better risk-reward ratios
Swing trading entries on higher timeframes (4H, Daily)
Higher-probability structural setups
Larger ATR-based stops accommodate volatility
Market Conditions
Best Performance:
Trending markets with clear directional bias
Post-news volatility with defined structure
Markets respecting support/resistance levels
Avoid Trading When:
ADX indicator shows purple bars (ranging market)
Multiple conflicting signals across timeframes
Major news events without clear price structure
Low volume periods (market open/close)
Common Mistakes to Avoid
Ignoring the ADX filter - Taking signals during ranging markets leads to whipsaws
Not waiting for confirmation - Enter only when multiple layers align
Overtrading - Fewer high-quality setups outperform many mediocre ones
Ignoring risk management - Always use the calculated stop losses
Fighting the trend - Trade WITH the SuperTrend and Cirrus Cloud direction
TECHNICAL SPECIFICATIONS
Indicator Type: Overlay (plots on price chart)
Calculation Resources:
Max labels: 500
Max lines: 500
Max boxes: 500
Max bars back: 500
Pine Script Version: 5
Compatible Timeframes: All timeframes (optimized for 1m to 1D)
Compatible Instruments:
Forex pairs
Crypto assets
Stock indices
Individual stocks
Commodities
THEORETICAL FOUNDATION
Trend-Following Concepts
This indicator is based on the principle that markets trend more often than they range, and that trends tend to persist. The SuperTrend component captures this momentum while the range filters prevent premature entries during pullbacks.
Smart Money Theory
The SMC elements are based on the concept that institutional traders (banks, hedge funds) leave footprints in the form of:
Order Blocks: Areas where large orders were placed
Fair Value Gaps: Inefficient price movements that may be revisited
Liquidity Sweeps: Stop hunts before continuation (EQH/EQL)
Volatility-Based Position Sizing
Using ATR for stop-loss placement ensures that stop distances adapt to current market conditions:
Tight stops in low volatility (avoids excessive risk)
Wider stops in high volatility (avoids premature stop-outs)
PERFORMANCE EXPECTATIONS
Realistic Expectations
Win Rate:
Expected: 45-55% (trend-following systems rarely exceed 60%)
Higher win rates on trending days
Lower win rates during consolidation (even with ADX filter)
Risk-Reward Ratio:
Target: 1.5:1 minimum (TP2)
Achievable: 2:1 to 3:1 on strong trends
Drawdowns:
Normal: 10-15% of account during choppy periods
Maximum: Should not exceed 20% with proper risk management
Optimization Tips
Backtesting Recommendations:
Test on at least 1 year of historical data
Include different market conditions (trending, ranging, volatile)
Adjust SuperTrend sensitivity per instrument
Optimize ADX threshold for your specific market
Record trades to identify personal execution errors
FREQUENTLY ASKED QUESTIONS
Q: Can I use this for automated trading?
A: The indicator provides signals, but you'll need to code a strategy script separately for automation. The signals can trigger alerts that connect to trading bots.
Q: Why do I see conflicting signals?
A: This is normal during transition periods. Wait for all confirmation layers to align before entering.
Q: How often should I expect signals?
A: Depends on timeframe and market conditions. On 5m charts during trending markets: 3-7 quality setups per session.
Q: Can I use only some features?
A: Yes, all components can be toggled on/off. However, the system works best with all confirmations active.
Q: What's the difference between internal and swing structures?
A: Internal = minor price structures (smaller pivots). Swing = major price structures (larger pivots). Both provide different levels of confirmation.
DISCLAIMER
This indicator is a tool for technical analysis and should not be the sole basis for trading decisions. Past performance does not guarantee future results. Always:
Use proper risk management
Test on demo accounts first
Never risk more than you can afford to lose
Combine with fundamental analysis when applicable
Understand that no indicator is 100% accurate
License: Mozilla Public License 2.0
Author: DrFXGOD
VERSION HISTORY & UPDATES
Initial Release - Version 1.0
Integrated SuperTrend, Range Filters, ADX, SMC concepts
ATR-based risk management
Multi-timeframe support
Customizable visual elements
SUPPORT & DOCUMENTATION
For questions, suggestions, or bug reports, please comment on the script page or contact the author through TradingView.
Additional Resources:
Smart Money Concepts: Research ICT (Inner Circle Trader) materials
ATR and Volatility: Refer to Wilder's original ATR documentation
SuperTrend Indicator: Study original SuperTrend strategy papers
Multi-Timeframe Stochastic (4x) z PodświetlaniemStochastic z możliwością paru tfów gdzie jak są w danej strefie to podświetla
ES OR DeviationES Opening Range Deviation target points. Used to find possible support or resistance.
NQ OR DeviationNQ Opening Range Deviation target points. Used to find possible support or resistance.
