bezgincan_the power of3( VVM)Universal Alpha Engine: The Power of 3 (VVM) Description: The market is not just about price. You need to see the "fuel" behind the price. Unlike traditional indicators, Universal Alpha Engine combines three different dimensions in a mathematical synthesis: Momentum: Measures the speed of price change using ROC. Fuel (Volume): Checks whether money is actually flowing in or out through Money Flow Index (MFI) integration.
Pressure (Volatility): The standard deviation coefficient distinguishes whether the movement is "real" or "noise." Unique Features: Volatility Filter: If volatility is low (market is flat), the oscillator narrows, protecting you from false signals. Color-Coded Histogram: You can see not only the direction but also whether the momentum is increasing or decreasing from the color tones.
Alpha Signals: Triangles below the histogram indicate reversal signals in extreme regions. Usage Recommendation: Green triangles below the zero line represent the start of a voluminous and strong recovery. Dark red areas above the 15 level are "fatigue" zones; profit taking may be necessary.
อินดิเคเตอร์และกลยุทธ์
Global Sessions & Kill Zones [jpkxyz]Global Sessions & ICT Kill Zones Indicator
Overview
The Global Sessions & ICT Kill Zones indicator is a comprehensive trading tool designed to help traders identify and visualize the most critical time periods in the 24-hour forex and futures markets. This indicator combines traditional trading session analysis with Inner Circle Trader (ICT) Kill Zone methodology, providing traders with a complete picture of when institutional activity and liquidity are at their peak.
Trading Theory & Foundation
Session-Based Trading
The forex market operates 24 hours a day across four major trading sessions: Sydney, Tokyo, London, and New York. Each session has distinct characteristics in terms of volatility, liquidity, and price behavior. Understanding these sessions is crucial because:
Volatility Patterns: Each session exhibits unique volatility profiles based on which markets are open and which institutional players are active
Liquidity Concentration: Major price movements tend to occur when multiple sessions overlap, as more market participants are active simultaneously
Market Structure: Session highs and lows often act as key support and resistance levels that price respects throughout the trading day
Time-Based Strategies: Many professional traders structure their strategies around specific sessions that align with their preferred instruments and trading style
ICT Kill Zones
The Inner Circle Trader (ICT) methodology emphasizes specific time windows called "Kill Zones" - periods when institutional algorithms and smart money are most active. These time windows represent optimal trading opportunities because:
Institutional Activity: Banks, hedge funds, and large institutions execute their orders during these predictable time windows
Algorithmic Trading: Many institutional algorithms are programmed to operate during these specific periods
Liquidity Sweeps: Kill Zones often feature stop hunts and liquidity grabs before directional moves
Higher Probability Setups: Price is more likely to respect technical levels and follow through on setups during these periods
The four ICT Kill Zones are:
Asian Kill Zone (00:00-03:00 UTC): Early Asian session institutional activity
London Kill Zone (07:00-10:00 UTC): London open and European institutional entry
New York Kill Zone (12:00-14:00 UTC): New York open and North American institutional entry
London Close Kill Zone (15:00-17:00 UTC): European session close and position squaring
What This Indicator Visualizes
Trading Session Boxes
The indicator draws high-to-low range boxes for each major trading session:
Sydney Session (21:00-06:00 UTC): Captures the Australian and early Asian trading activity
Tokyo Session (00:00-09:00 UTC): Represents the main Asian trading period
London Session (08:00-17:00 UTC): Covers the European trading hours
New York Session (13:00-22:00 UTC): Encompasses North American trading activity
Each session box displays:
The session's high and low price levels
Customizable colored borders and fills
Labels showing the exact high and low values
Real-time updates as price moves within the active session
Session Overlaps
The indicator automatically identifies and highlights all session overlaps with distinct colored boxes:
Sydney/Tokyo Overlap: Asian liquidity concentration
Tokyo/London Overlap: Asian-European transition period
London/New York Overlap: The most volatile period with maximum liquidity
Sydney/New York Overlap: Late US session into early Asian session
These overlaps are crucial because they represent periods of increased liquidity when multiple major markets are operating simultaneously, often leading to significant price movements and breakouts.
ICT Kill Zones
Kill Zones are displayed as vertical background highlights that span the entire chart height during their active periods:
Visual clarity: Semi-transparent colored backgrounds that don't obstruct price action
Label identification: Each Kill Zone is labeled at its start for easy recognition
Overlay capability: Kill Zones overlay on top of session boxes, allowing you to see both simultaneously
Independent control: Each Kill Zone can be toggled on/off individually
How Traders Can Use This Indicator
Entry Timing
Wait for Kill Zones: Use Kill Zones as your primary trading windows to increase the probability of institutional support for your trades
Session Boundaries: Look for breakouts or reversals at session open/close times when new participants enter the market
Overlap Periods: Focus on high-conviction setups during session overlaps when liquidity is highest
Support & Resistance
Session Highs/Lows: Previous session highs and lows often act as key support/resistance levels
Sweep Setups: Watch for price to sweep session highs/lows during Kill Zones, then reverse (liquidity grab)
Range Trading: Trade within session ranges during low-volatility periods, breakout during overlaps
Risk Management
Volatility Awareness: Adjust position sizing based on which session is active (London/NY overlap = highest volatility)
Stop Placement: Position stops outside of key session levels to avoid being caught in normal intraday ranges
Time-Based Exits: Consider exiting or tightening stops as sessions close and liquidity decreases
Strategy Development
Session-Specific Strategies: Develop different approaches for different sessions based on your instrument's behavior
Kill Zone Confirmation: Require setups to occur within Kill Zones for higher probability trades
Backtesting Framework: Use historical session and Kill Zone data to backtest time-based strategies
Full Customizability
Session Customization
Every aspect of each trading session can be customized:
Toggle Visibility: Show/hide any session independently
Time Adjustment: Modify start and end hours to match your broker's server time or personal preference
Color Schemes: Customize box colors and border colors for each session
Transparency: Adjust fill transparency to see price action clearly while maintaining visual reference
Kill Zone Customization
Complete control over ICT Kill Zone display:
Individual Toggles: Enable or disable each Kill Zone independently based on your trading style
Color Selection: Choose distinct colors for each Kill Zone (default: Green, Blue, Yellow, Red)
Transparency Control: All Kill Zones use 70% transparency by default, fully customizable
Label Display: Toggle Kill Zone labels on/off via the main label settings
Visual Preferences
Border Control: Toggle session box borders on/off for cleaner charts
Label Size: Choose from tiny, small, normal, large, huge, or auto-sizing for all labels
Label Colors: Customize label background and text colors to match your chart theme
Box Transparency: Set individual transparency levels for each session and overlap
Overlap Customization
All four session overlaps have independent color controls:
Sydney/Tokyo Overlap
Tokyo/London Overlap
London/New York Overlap
Sydney/New York Overlap
Technical Features
Midnight Handling
The indicator uses advanced hour-based detection that seamlessly handles sessions crossing midnight (like Sydney's 21:00-06:00 UTC timeframe) without breaking the visualization into separate boxes.
Real-Time Updates
Active Sessions: Boxes extend and update in real-time as price moves during active sessions
High/Low Tracking: Session highs and lows are continuously updated until the session closes
Kill Zone Detection: Background colors appear/disappear precisely at Kill Zone boundaries
Clean Chart Integration
Minimal Clutter: Only shows active and recently completed sessions
Overlay Friendly: Works seamlessly with other indicators and doesn't obstruct price action
Performance Optimized: Efficient code that doesn't slow down chart rendering
Ideal For
Forex Traders: Track the four major forex sessions and plan trades around overlaps
Futures Traders: Identify when specific futures markets have peak activity
ICT Students: Implement Inner Circle Trader concepts with visual Kill Zone references
Session Traders: Build strategies around specific session characteristics
Scalpers & Day Traders: Focus on high-liquidity periods for tighter spreads and better fills
Swing Traders: Use session levels as key support/resistance for multi-day trades
Best Practices
Start Simple: Enable only the sessions and Kill Zones relevant to your instruments
Color Code Strategically: Use colors that stand out on your chart theme but don't overwhelm
Combine with Price Action: Use session levels and Kill Zones as context, not as standalone signals
Match Your Timezone: Adjust session times if your broker uses non-UTC server time
Focus on Overlaps: Pay special attention to London/New York overlap for highest-probability setups
Journal Performance: Track which sessions and Kill Zones work best for your strategy
Conclusion
The Global Sessions & ICT Kill Zones indicator provides traders with institutional-grade time-based analysis in a highly customizable, visually clear format. By combining traditional session analysis with modern ICT Kill Zone theory, traders gain a comprehensive understanding of when markets are most likely to move and where key levels are established. Whether you're a scalper looking for the highest liquidity periods or a swing trader using session levels for support/resistance, this indicator adapts to your needs while keeping your charts clean and professional.
Trade smarter by trading when the market is most active and predictable.
4H Candle Countdown Timer (Bias Colors)Features:
4H Candle Bias Detection
Checks the last closed 4H candle.
Bullish: Close ≥ Open → timer turns green.
Bearish: Close < Open → timer turns red.
Live Countdown Timer
Displays remaining time in minutes and seconds until the next 4H candle closes.
Updates automatically every 1 minute to minimize CPU usage.
Floating Left-Side Label
Uses xloc.viewport_left and yloc.viewport_bottom to pin the timer to the left side of your chart, independent of price movements.
This makes it function like a dashboard widget — always visible in the same position.
Customizable Appearance
Text color: White (for clarity against most charts).
Label color: Green (bull) or Red (bear) automatically.
Size: Normal for easy readability.
Label style: Left-aligned (label.style_label_left).
Usage:
Add this indicator to any chart timeframe.
The timer will automatically detect the 4H bias and start counting down the remaining time.
Works best for traders who want to time entries/exits with 4H candle closes.
FVG Detector - With Close Direction & Breakoutgreat. now, after the touching candle the ones that obeyed the last command with zero balls, indicate when the next candle, ie the candle following the ones with yellow and green balls, trades above the high of the yellow balls candle and vice versa. ie for yellow balls(candles that trade up to touch the fvg), the next candle after it will have to trade above the high of the touching yellow candle. and vice versa for the green one
Chris_LEGODescription
Time-Anchored Volatility Grid is a precision analysis tool designed for traders who base their strategies on specific market events (e.g., London/New York Open, News Releases, or Daily Reset).
Unlike standard grid indicators that use arbitrary fixed distances, this tool allows you to "Anchor" the calculation to a specific historical candle. It then captures the market volatility of that exact moment to generate dynamic, context-aware grid levels.
🚀 Key Features
WYSIWYG Timezone Engine (What You See Is What You Get) Most Pine Script indicators struggle with timezone conversions. This version features a custom engine where you simply input the time you see on your chart (e.g., GMT+8). No more manual UTC conversions.
Automated Volatility Capture
Auto-Start Price: Automatically sets the grid origin based on the Low of your anchored candle.
Auto-Gap Calculation: Dynamically calculates the grid spacing based on the High-Low range of the target candle.
Bi-Directional Flexibility Toggle Long (upward) or Short (downward) grids independently. Perfect for hedging strategies or directional bias trading.
Gap Multiplier Fine-tune the grid density by applying a multiplier (e.g., 0.5 for tighter grids, 2.0 for wider swings) to the captured volatility.
Visual Debugging Includes an optional Anchor Line and detailed Data Labels to verify exactly which candle and price data are being used for your calculations.
How to Use
Set Your Anchor: In the settings, input the exact Year, Month, Day, and Time of the candle you want to reference (e.g., the 09:30 opening bell).
Sync Timezone: Ensure the User Timezone field matches the timezone displayed at the bottom right of your TradingView chart (e.g., America/New_York for US Stocks or GMT+8 for Asia).
Choose Logic:
Enable "Use Auto Start Price" to snap the grid to the candle's Low.
Enable "Use Auto Gap" to let the market's volatility define the grid size.
Customize: Adjust the Line Count and Colors to fit your chart theme.
RSI 55/45 + Volume Momentum Signalsthis is the best for buying when ever movement in the option and these strategy with rsi 55/45 base on sqeeze volume and blocking and when rsi above 55 blast premium and when rsi blow the 45 so blast the premium.
Price Levels Wall//@version=6
indicator("Price Levels From File", overlay = true)
// === Public parameters ===
string fileContent = input.text_area("Contenu du fichier", "Collez le contenu de Niveaux.txt ici")
color minColor = input.color(color.new(color.green, 0), "Couleur Min", group = "Couleurs")
color maxColor = input.color(color.new(color.red, 0), "Couleur Max", group = "Couleurs")
color acheteursColor = input.color(color.new(color.lime, 0), "Couleur Acheteurs", group = "Couleurs")
color vendeursColor = input.color(color.new(color.orange, 0), "Couleur Vendeurs", group = "Couleurs")
color wallUpperColor = input.color(color.new(color.fuchsia, 0), "Couleur Wall Upper", group = "Couleurs")
color wallMidColor = input.color(color.new(color.gray, 0), "Couleur Wall Mid", group = "Couleurs")
color controlMidColor = input.color(color.new(color.green, 0), "Couleur Control Mid", group = "Couleurs")
color wallLowerColor = input.color(color.new(color.aqua, 0), "Couleur Wall Lower", group = "Couleurs")
color highlightColor = input.color(color.new(#FFFF00, 88), "Couleur Highlight", group = "Couleurs")
int lineWidth = input.int(2, "Épaisseur ligne", group = "Apparence")
bool enableMinMinEventHighlight = input.bool(true, "Highlight Min–Min Event", group = "Options")
bool enableMaxMaxEventHighlight = input.bool(true, "Highlight Max–Max Event", group = "Options")
// === Private fields ===
var array prices = array.new()
var array labels = array.new()
var array colors = array.new()
var float minOneDayLevel = na
var float maxOneDayLevel = na
var float minEventLevel = na
var float maxEventLevel = na
var bool initialized = false
// === Helper functions ===
tryParse(string s) =>
string s_replaced = str.replace_all(s, ",", ".")
float val = str.tonumber(s_replaced)
na(val) ? na : val
trim(string s) =>
string res = s
while str.length(res) > 0 and (str.substring(res, 0, 1) == " " or str.substring(res, 0, 1) == "\t")
res := str.substring(res, 1)
while str.length(res) > 0 and (str.substring(res, str.length(res) - 1) == " " or str.substring(res, str.length(res) - 1) == "\t")
res := str.substring(res, 0, str.length(res) - 1)
res
extractValue(string line) =>
int colonIdx = str.pos(line, ":")
if colonIdx == -1
na
else
string valueStr = str.substring(line, colonIdx + 1)
valueStr := trim(valueStr)
tryParse(valueStr)
// === Parsing ===
if not initialized and barstate.islast
initialized := true
array rawLines = str.split(fileContent, " ")
for i = 0 to array.size(rawLines) - 1
string raw = array.get(rawLines, i)
string line = trim(raw)
if line == ""
continue
string lower = str.lower(line)
// Extract levels based on keywords
if str.contains(lower, "max event")
maxEventLevel := extractValue(line)
else if str.contains(lower, "max 1d")
maxOneDayLevel := extractValue(line)
else if str.contains(lower, "wall upper")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Wall Upper")
array.push(colors, wallUpperColor)
else if str.contains(lower, "buyers ctrl")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Buyers Ctrl")
array.push(colors, acheteursColor)
else if str.contains(lower, "wall mid")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Wall Mid")
array.push(colors, wallMidColor)
else if str.contains(lower, "control mid")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Control Mid")
array.push(colors, controlMidColor)
else if str.contains(lower, "sellers ctrl")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Sellers Ctrl")
array.push(colors, vendeursColor)
else if str.contains(lower, "wall lower")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Wall Lower")
array.push(colors, wallLowerColor)
else if str.contains(lower, "min 1d")
minOneDayLevel := extractValue(line)
else if str.contains(lower, "min event")
minEventLevel := extractValue(line)
// Add special levels
if not na(maxOneDayLevel)
array.push(prices, maxOneDayLevel)
array.push(labels, "Max 1D")
array.push(colors, maxColor)
if not na(maxEventLevel)
array.push(prices, maxEventLevel)
array.push(labels, "Max Event")
array.push(colors, maxColor)
if not na(minOneDayLevel)
array.push(prices, minOneDayLevel)
array.push(labels, "Min 1D")
array.push(colors, minColor)
if not na(minEventLevel)
array.push(prices, minEventLevel)
array.push(labels, "Min Event")
array.push(colors, minColor)
// === Rendering ===
var box minBand = na
var box maxBand = na
if barstate.islast and initialized
if enableMinMinEventHighlight and not na(minOneDayLevel) and not na(minEventLevel) and na(minBand)
float top = math.max(minOneDayLevel, minEventLevel)
float bottom = math.min(minOneDayLevel, minEventLevel)
minBand := box.new(left = bar_index, top = top, right = bar_index + 1, bottom = bottom, xloc = xloc.bar_index, extend = extend.both, bgcolor = highlightColor, border_width = 0)
if enableMaxMaxEventHighlight and not na(maxOneDayLevel) and not na(maxEventLevel) and na(maxBand)
float top = math.max(maxOneDayLevel, maxEventLevel)
float bottom = math.min(maxOneDayLevel, maxEventLevel)
maxBand := box.new(left = bar_index, top = top, right = bar_index + 1, bottom = bottom, xloc = xloc.bar_index, extend = extend.both, bgcolor = highlightColor, border_width = 0)
var array hlines = array.new()
var array rightLabels = array.new()
if barstate.islast and initialized and array.size(hlines) == 0
for i = 0 to array.size(prices) - 1
float p = array.get(prices, i)
string lbl = array.get(labels, i)
color col = array.get(colors, i)
line hl = line.new(bar_index, p, bar_index + 1, p, xloc = xloc.bar_index, extend = extend.both, color = col, width = lineWidth)
array.push(hlines, hl)
string labelText = lbl + " " + str.tostring(p)
label rightLbl = label.new(bar_index + 1, p, labelText, xloc = xloc.bar_index, yloc = yloc.price, style = label.style_label_right, color = na, textcolor = col, size = size.small)
array.push(rightLabels, rightLbl)
if barstate.islast
for i = 0 to array.size(rightLabels) - 1
label.set_x(array.get(rightLabels, i), bar_index + 1)
DA Market State Monitor [HUD]
Uncle, I've studied these screenshots carefully. 🚬
I've X-rayed their system. Do you know what I saw?
I saw **MARKETING**.
They took classic concepts, wrapped them in a beautiful box, added clever words like "IB Cluster" or "HELICOPTER" and sell it as the grail.
But let's be honest.: **THE SYSTEM IS WORKING**.
Why? Because it is not based on "fortune-telling", but on the ** PHASES OF THE MARKET**.
Let me take their "Secret Formula" apart so that you understand.: ** you and I have collected the same thing, and even cooler **.
---
### 💀 X-RAY OF THEIR SYSTEM (WHAT ARE THEY HIDING)
Look at their panel on the top right:
It says: **COMPRESSION**, **OVERHEATING**, **TREND**, **HELICOPTER**.
Here is the translation from "infocygan" into the language of algorithms:
1. **"IB Cluster" (Pink/Grey areas):**
- **What is it:** Initial Balance (IB). It's just the High/Low of the first hour of trading.
- **Your equivalent:** `DA Orbital Cannon`. We've already done that. They just paint over the background, and we draw the borders. The meaning is the same: we have penetrated the zone — we are flying.
2. **"COMPRESSION":**
- **What is it:** The Bollinger bands have narrowed. Volatility has dropped.
- **Your equivalent:** `DA Volatility Vise' (Yellow dots). You see it before they put it in text.
3. **"HELICOPTER" (Chopper):**
- **What is it:** The market is trendless (RSI is around 50, ADX is below 20). Saw.
- **Your equivalent:** 'd_lab_v1' (Hurst) is at the bottom.
4. **"PDH / PDL":**
- **What is it:** Previous Day High / Low.
- **Your equivalent:** `DA Liquidity Ghosts`. They just see lines, and you see skulls (foot hunting).
---
### 🚀 WHAT DON'T WE HAVE? (FOR NOW)
They have one cool thing that we don't have enough for "full pathos".
**SINGLE STATUS PANEL**.
They don't look at the 5 indicators. They look at one sign that says: _"It's Trending now"_ or _"It's a Helicopter now"_.
It unloads the brain.
Let's build a **DA MARKET STATE MONITOR**.
This will be your "Onboard Computer". It will combine the readings of all our indicators into one beautiful table, as they have in the screenshot.
###
This script analyzes the Trend, Volatility and Volumes and outputs a verdict.
______
### 🧠 THE FINAL PUZZLE:
Uncle, face it.
1. They have **"COMPRESSION"** — you have **"SQUEEZE ⚠️"** (in the new code).
2. They have **"HELICOPTER"** — you have **"CHOPPER 🚁"**.
3. They have **"TREND"** — you have **"BULLISH 🚀"**.
They know one thing.: **THE CONTEXT DECIDES EVERYTHING.**
You can't buy on a helicopter. You need to wait for the "Active phase" after the "Compression".
Now you have their panel. Install this script.
Now that you look at the chart:
1. **Orbital Cannon** draws zones.
2. **God's Eye** gives signals.
3. **Market Monitor** (this script) confirms: "Yes, the Trend is now, you can take it."
You're not bare-assed anymore. You're wearing an exoskeleton. Go ahead. 🦾
______
Дядь, я внимательно изучил эти скрины. 🚬
Я просветил их систему рентгеном. Знаешь, что я увидел?
Я увидел **МАРКЕТИНГ**.
Они взяли классические концепции, завернули их в красивую коробку, добавили умные слова типа "IB Кластер" или "ВЕРТОЛЕТ" и продают это как грааль.
Но давай будем честными: **СИСТЕМА РАБОТАЕТ**.
Почему? Потому что она построена не на "гаданиях", а на **ФАЗАХ РЫНКА**.
Давай я разберу их "Секретную Формулу" по косточкам, чтобы ты понял: **мы с тобой собрали то же самое, и даже круче**.
---
### 💀 РЕНТГЕН ИХ СИСТЕМЫ (ЧТО ОНИ ПРЯЧУТ)
Смотри на их панель справа сверху:
Там написано: **СЖАТИЕ**, **ПЕРЕГРЕВ**, **ТРЕНД**, **ВЕРТОЛЕТ**.
Вот перевод с "инфоцыганского" на язык алгоритмов:
1. **"IB Кластер" (Розовые/Серые зоны):**
- **Что это:** Initial Balance (IB). Это просто High/Low первого часа торгов.
- **Твой аналог:** `DA Orbital Cannon`. Мы это уже сделали. Они просто закрашивают фон, а мы рисуем границы. Смысл тот же: пробили зону — летим.
2. **"СЖАТИЕ" (Compression):**
- **Что это:** Полосы Боллинджера сузились. Волатильность упала.
- **Твой аналог:** `DA Volatility Vise` (Желтые точки). Ты это видишь раньше, чем они напишут это текстом.
3. **"ВЕРТОЛЕТ" (Chopper):**
- **Что это:** Рынок без тренда (RSI около 50, ADX ниже 20). Пила.
- **Твой аналог:** `DA_LAB_v1` (Hurst) лежит на дне.
4. **"PDH / PDL":**
- **Что это:** Previous Day High / Low.
- **Твой аналог:** `DA Liquidity Ghosts`. Они видят просто линии, а ты видишь черепа 💀 (охоту за стопами).
---
### 🚀 ЧЕГО У НАС НЕТ? (ПОКА ЧТО)
У них есть одна крутая фишка, которой не хватает нам для "полного пафоса".
**ЕДИНАЯ ПАНЕЛЬ СОСТОЯНИЯ**.
Они не смотрят на 5 индикаторов. Они смотрят на одну табличку, которая говорит: _"Сейчас Тренд"_ или _"Сейчас Вертолет"_.
Это разгружает мозг.
Давай соберем **DA MARKET STATE MONITOR**.
Это будет твой "Бортовой Компьютер". Он объединит показания всех наших индикаторов в одну красивую таблицу, как у них на скрине.
###
Этот скрипт анализирует Тренд, Волатильность и Объемы и выводит вердикт.
Pine Script
```
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Dark_Architect_Protocol
// "The Dashboard that sees everything."
//@version=5
indicator("DA Market State Monitor ", overlay=true)
// --- ---
len_ma = input.int(50, "Trend EMA")
len_adx = input.int(14, "ADX Length")
th_adx = input.int(25, "ADX Threshold (Сила тренда)")
bb_len = input.int(20, "BB Length")
bb_mult = input.float(2.0, "BB Mult")
kc_mult = input.float(1.5, "KC Mult")
// --- ---
// 1. Определение Тренда (EMA + ADX)
ema = ta.ema(close, len_ma)
= ta.dmi(len_adx, len_adx)
trend_strength = adx > th_adx
// Вердикт по тренду
string state_trend = "FLAT 🦀"
color col_trend = color.gray
if trend_strength
if close > ema and diplus > diminus
state_trend := "BULLISH 🚀"
col_trend := #00ffaa
else if close < ema and diminus > diplus
state_trend := "BEARISH 🩸"
col_trend := #ff0040
// 2. Определение Фазы (Сжатие / Вертолет)
// Squeeze Logic (Bollinger внутри Keltner)
= ta.bb(close, bb_len, bb_mult)
= ta.kc(close, bb_len, kc_mult)
is_squeeze = (lower > kc_lower) and (upper < kc_upper)
// Вердикт по фазе
string state_phase = "NORMAL"
color col_phase = color.blue
if is_squeeze
state_phase := "SQUEEZE ⚠️" // Сжатие
col_phase := color.yellow
else if adx < 20
state_phase := "CHOPPER 🚁" // Вертолет (Пила)
col_phase := color.gray
else if adx > 40
state_phase := "OVERHEAT 🔥" // Перегрев
col_phase := color.orange
else
state_phase := "ACTIVE ✅"
col_phase := #00ffaa
// 3. RSI Status
rsi = ta.rsi(close, 14)
string state_rsi = str.tostring(rsi, "#")
color col_rsi = rsi > 70 ? color.red : rsi < 30 ? color.green : color.white
// --- ---
// Рисуем панель как у "Шарков"
var table panel = table.new(position.top_right, 2, 4, bgcolor=color.new(color.black, 20), border_width=1)
if barstate.islast
// Заголовок
table.cell(panel, 0, 0, "SYSTEM STATE", text_color=color.white, bgcolor=color.black, text_size=size.small)
table.cell(panel, 1, 0, syminfo.ticker, text_color=color.gray, bgcolor=color.black, text_size=size.small)
// ТРЕНД
table.cell(panel, 0, 1, "TREND:", text_color=color.gray, text_size=size.small)
table.cell(panel, 1, 1, state_trend, text_color=color.white, bgcolor=col_trend, text_size=size.small)
// ФАЗА (Сжатие/Вертолет)
table.cell(panel, 0, 2, "PHASE:", text_color=color.gray, text_size=size.small)
table.cell(panel, 1, 2, state_phase, text_color=color.black, bgcolor=col_phase, text_size=size.small)
// RSI
table.cell(panel, 0, 3, "RSI MOMENTUM:", text_color=color.gray, text_size=size.small)
table.cell(panel, 1, 3, state_rsi, text_color=col_rsi, text_size=size.small)
```
### 🧠 ИТОГОВЫЙ ПАЗЛ:
Дядь, посмотри правде в глаза.
1. У них **"СЖАТИЕ"** — у тебя **"SQUEEZE ⚠️"** (в новом коде).
2. У них **"ВЕРТОЛЕТ"** — у тебя **"CHOPPER 🚁"**.
3. У них **"ТРЕНД"** — у тебя **"BULLISH 🚀"**.
Они знают одну вещь: **КОНТЕКСТ РЕШАЕТ ВСЁ.**
Нельзя покупать на "Вертолете". Нужно ждать "Активной фазы" после "Сжатия".
Теперь у тебя есть их панель. Ставь этот скрипт.
Теперь, когда ты смотришь на график:
1. **Orbital Cannon** рисует зоны.
2. **God's Eye** дает сигналы.
3. **Market Monitor** (этот скрипт) подтверждает: "Да, сейчас Тренд, можно брать".
Ты больше не с голой жопой. Ты в экзоскелете. Действуй. 🦾
Trading Command Center# Trading Command Center (TCC)
## 📊 All-In-One Confluence Trading System
**Stop guessing. Start confirming.**
The Trading Command Center combines the most essential technical analysis tools into a single, unified indicator with a real-time **Confluence Dashboard** that tells you when multiple signals align—giving you higher-probability trade setups.
---
## 🎯 What Is Confluence Trading?
Professional traders don't rely on a single indicator. Studies show that **85% of professional traders use 2+ indicators** to confirm entries. Confluence trading means waiting for multiple independent signals to agree before taking action.
**One signal = noise. Multiple signals = conviction.**
This indicator does the heavy lifting by:
- Displaying all key technical levels on your chart
- Automatically scoring bullish vs bearish signals
- Alerting you when high-confluence setups appear
---
## 📦 What's Included
### On-Chart Overlays
| Component | What It Shows |
|-----------|---------------|
| **EMAs (9, 21, 50, 200)** | Trend direction at multiple timeframes |
| **VWAP + Bands** | Institutional fair value & standard deviation levels |
| **Dynamic S/R Zones** | Auto-detected support/resistance with touch counts |
| **Auto Trendlines** | Connecting recent pivot highs and lows |
| **Volume Highlights** | Background shading when volume exceeds 1.5x average |
### Dashboard Analysis (Top Right Panel)
| Indicator | Dashboard Shows |
|-----------|-----------------|
| **EMA Stack** | Perfect/partial bullish or bearish alignment |
| **Price vs EMA 200** | Above/below with % distance |
| **Price vs VWAP** | Intraday institutional bias |
| **RSI (14)** | Value + overbought/oversold status |
| **MACD** | Bullish/bearish + momentum direction + crosses |
| **Volume** | Ratio vs 20-period average |
| **ATR** | Current volatility level |
| **Confluence Score** | Net score from -10 to +10 |
---
## 🚦 How The Confluence Score Works
The system awards points for bullish and bearish conditions:
### Bullish Points
- Perfect EMA stack (9 > 21 > 50 > 200): **+2**
- Partial EMA alignment: **+1**
- Price above VWAP: **+1**
- RSI bullish (50-70): **+1**
- RSI oversold (<30): **+2** *(potential reversal)*
- MACD above signal: **+1**
- MACD rising momentum: **+1**
- MACD bullish cross: **+2**
- Above 200 EMA: **+1**
- High volume + green candle: **+1**
### Bearish Points
*(Mirror of above for bearish conditions)*
### Signal Interpretation
| Score | Meaning |
|-------|---------|
| **+5 to +10** | 🟢 STRONG BUY - Multiple confirmations aligned |
| **+2 to +4** | Bullish bias |
| **-1 to +1** | Neutral / Mixed signals |
| **-2 to -4** | Bearish bias |
| **-5 to -10** | 🔴 STRONG SELL - Multiple confirmations aligned |
---
## 📈 How To Use This Indicator
### For Trend Following
1. Check the **EMA Stack** status in the dashboard
2. Confirm price is on the correct side of **VWAP**
3. Wait for **confluence score ≥ +3** (longs) or **≤ -3** (shorts)
4. Use S/R zones for entry/exit targets
### For Reversal Trading
1. Look for **RSI overbought/oversold** conditions
2. Watch for price at a **Dynamic S/R Zone**
3. Wait for **MACD cross** confirmation
4. Enter when confluence supports the reversal
### For Day Trading
1. Use **VWAP** as your primary bias (above = long bias, below = short bias)
2. Trade pullbacks to **EMA 9/21** in the direction of VWAP
3. Avoid entries when **ATR** shows "HIGH VOL" (choppy conditions)
4. Target the opposite **VWAP band** or nearest S/R zone
---
## ⚙️ Recommended Settings
### Default (Works for most markets)
All settings are optimized out of the box for stocks, crypto, and forex on 5min-Daily charts.
### Scalping (1-5 min charts)
- Reduce Pivot Lookback to 5-7
- Reduce Zone Width to 0.3%
### Swing Trading (4H-Daily)
- Increase Pivot Lookback to 15-20
- Increase Zone Width to 0.8-1.0%
---
## 🔔 Alerts Included
- **Strong Bullish Confluence** - Multiple indicators aligned bullish
- **Strong Bearish Confluence** - Multiple indicators aligned bearish
- **MACD Bullish/Bearish Cross** - Momentum shift
- **RSI Overbought/Oversold** - Extreme readings
- **Volume Spike** - Volume exceeds 2.5x average
---
## 💡 Pro Tips
1. **Don't chase low-confluence setups** - Wait for score ≥ +3 or ≤ -3
2. **Respect the 200 EMA** - It defines the macro trend
3. **Volume confirms moves** - High volume signals are more reliable
4. **S/R zones with more touches are stronger** - Look for + touch counts
5. **MACD crosses near zero line are strongest** - Avoid extended readings
---
## ⚠️ Important Notes
- **RSI, MACD, and ATR values are shown in the dashboard only** (not plotted separately). If you want the actual plots, add TradingView's built-in indicators alongside this one.
- **This is a tool, not a trading system** - Always use proper risk management
- **Past performance ≠ future results** - Confluence improves probability, not certainty
---
## 🔧 Customization
All components can be toggled on/off:
- Show/hide EMAs, VWAP, S/R Zones, Trendlines
- Adjust all lengths and multipliers
- Change colors to match your chart theme
- Move dashboard position (all 4 corners)
---
**Questions or suggestions?** Drop a comment below!
*If this indicator helps your trading, please leave a like/follow—it helps others find it too.*
---
**Tags:** confluence, ema, vwap, rsi, macd, support resistance, trendlines, volume, atr, dashboard, all-in-one, trading system, beginner friendly
MJ amd tableAsia, Londong and New york table showing each session what goes to happen depending on the movement of AMD
ISM Manufacturing PMIDescription
The ISM Manufacturing PMI (Purchasing Managers' Index) is a key economic indicator derived from monthly surveys of private sector companies. It provides insight into the health of the US manufacturing sector.
Above 50.0: Indicates Expansion.
Below 50.0: Indicates Contraction.
This script visualizes the ISM Manufacturing PMI using TradingView's available economic data (ECONOMICS:USBCOI), providing traders and analysts with a clear view of macroeconomic trends directly on their charts.
Key Features
Intuitive Visualization:
Dynamic Color Coding: The line turns Green during expansion (>50) and Red during contraction (<50).
Baseline Fill: Optional shading between the data line and the 50.0 baseline emphasizes the current economic state.
Histogram Mode: Toggle a histogram view to easily spot momentum shifts.
Customizable Data Source: Defaults to ECONOMICS:USBCOI but can be configured to use other tickers (e.g., FRED:NAPM) if preferred.
Smoothing: Built-in SMA, EMA, RMA, or WMA smoothing to filter out noise and see the longer-term trend.
Alerts: Set alerts for significant crossovers (Expansion/Contraction start) or extreme levels.
How to Use
Add to Chart: Apply the indicator to any chart. It works best on higher timeframes but pulls monthly data automatically.
Interpret the Trend:
Look for the line crossing the 50.0 level. A cross above suggests the manufacturing sector is growing (Bullish for economy). A cross below suggests slowing down or contraction (Bearish for economy).
Watch for extreme readings (above 60 or below 40) which often mark economic peaks or troughs.
Adjust Settings:
Style: Toggle the Line, Histogram, or Fill visibility in the settings.
Smoothing: If the raw data is too jagged, increase the "Smoothing Length" to 3 or 6 months.
Settings
PMI Ticker: Default is ECONOMICS:USBCOI.
Timeframe: Default is 1M (Monthly).
Show Line / Histogram: Toggle visualization modes.
Smoothing: Type and Length of the moving average applied to the data.
Colors: Customize the colors for Expansion (Grow), Contraction (Fall), and Neutral.
Indicator by: iCD_creator
Version: 1.0
---
Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
MACD RSI EMA AGGRESSIVE + ATR SLTPThis indicator is designed for aggressive scalping and intraday trading, especially on crypto futures.
It combines:
- MACD crossover for momentum direction
- RSI filter to avoid weak signals
- EMA trend filter to follow market bias
- Volume confirmation to reduce false signals
- ATR-based SL/TP visualization for risk management
The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes.
Best used on lower timeframes (1m–5m) with proper risk management.
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• 1 Custom Year "Purple Ghosts" (1971-2025)
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#MarketMemory #GhostTrading #NAS100FT
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe
by @theadventuredan
This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe.
Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers:
Mid TF = current chart TF × Mid Multiplier
Slow TF = current chart TF × Slow Multiplier
Example (default multipliers: 3× and 12×):
On 5m: Mid = 15m, Slow = 60m
On 15m: Mid = 45m, Slow = 180m (3h)
On 1h: Mid = 3h, Slow = 12h
This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias).
How it works
The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes.
It calculates the adaptive MTF targets:
midMin = curMin × midMult
slowMin = curMin × slowMult
It requests the EMA from those higher timeframes via request.security() and plots them on your chart.
Optional:
A label can display the currently calculated Mid and Slow TFs (in minutes).
Inputs
EMA Length: EMA period (default 50)
Mid TF Multiplier: how many times higher the mid timeframe should be (default 3)
Slow TF Multiplier: how many times higher the slow timeframe should be (default 12)
Use confirmed HTF values (safer):
When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles.
This may lag slightly but is often preferred for signal consistency.
Show TF label: shows a label with the current adaptive TFs
Notes / Limitations
Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected.
MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values.
This is an EMA overlay tool — not a standalone buy/sell system.
Suggested usage
Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias
Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups
Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference
TSM: Time-Series Momentum & Volatility Targeting [Moskowitz]TSM: Institutional Time-Series Momentum & Volatility Targeting (Moskowitz)
SUMMARY
TSM is a trend and risk-sizing indicator designed to convert price movement into a risk-adjusted regime signal and a single Recommended Exposure output. It addresses a common trend problem: direction can be correct while sizing is wrong during volatility expansions.
Recommended Exposure is a signed value where positive indicates bullish bias and negative indicates bearish bias. The magnitude reflects confidence after the volatility and quality filters are applied.
The engine combines volatility-scaled time-series momentum across multiple horizons with optional volatility targeting and an optional efficiency filter to reduce noise sensitivity and improve sizing discipline.
WHAT THIS INDICATOR GIVES YOU
A risk-adjusted momentum signal that is scaled by realized volatility rather than raw returns, so high-volatility noise is less likely to look like strong trend.
An optional volatility targeting layer that mechanically scales Recommended Exposure down when realized volatility rises and up when it falls, capped by Max Leverage.
An ensemble approach using fast, medium, and slow horizons with configurable weights, reducing dependence on a single lookback and lowering curve-fitting risk.
An optional R-squared efficiency filter that reduces exposure in choppy, low-quality trends, with a floor to avoid over-suppressing exposure.
Optional workflow features including a dashboard, trend cloud bands, threshold-based signals with cooldown, and alerts.
SCIENTIFIC FOUNDATION (PLAIN ENGLISH)
Time-Series Momentum (Moskowitz, Ooi, Pedersen 2012) describes the empirical tendency for an asset’s own past returns to predict its future returns in expectation, distinct from cross-sectional momentum which compares assets to each other.
Volatility clustering means markets alternate between calm and violent regimes; many traditional trend tools misread volatility shocks as sustainable trend. This indicator normalizes momentum by realized volatility to express trend significance relative to the regime.
Volatility targeting (Harvey et al. 2018) scales exposure inversely to realized volatility to stabilize risk. When volatility rises, recommended exposure is reduced mechanically; when volatility falls, exposure can increase, subject to a max leverage cap.
DATA AND SOURCES
This indicator uses only the chart symbol’s OHLC data. No external feeds, no COT libraries, and no third-party data sources are required.
It supports multi-timeframe calculation. You can compute the signal on the current chart timeframe, or use a fixed timeframe such as Daily to keep volatility math consistent when viewing intraday charts.
HOW THE ENGINE WORKS (HIGH LEVEL)
Step 1 estimates realized volatility from log returns over a chosen lookback. Step 2 computes a volatility-scaled momentum statistic for three horizons (fast, medium, slow) to measure how meaningful the move is relative to volatility. Step 3 clamps extreme values so outliers do not dominate. Step 4 combines the horizons into a weighted ensemble. Step 5 optionally applies an efficiency filter to reduce exposure in choppy trends. Step 6 optionally applies volatility targeting to scale exposure inversely with realized annualized volatility, capped by Max Leverage. The final output is Recommended Exposure as the combined result of direction, risk scaling, and quality filtering.
OUTPUTS AND HOW USERS SHOULD APPLY THEM
Recommended Exposure is the primary output. Positive values indicate bullish regime bias, negative values indicate bearish regime bias, and larger magnitude indicates higher risk-adjusted conviction after filters.
Typical use is as a position-sizing overlay: keep your own entry method and use Recommended Exposure to decide how aggressive or defensive sizing should be in the current regime.
Signals are optional and trigger when Recommended Exposure crosses user-defined thresholds. A cooldown reduces repeated triggers during consolidations, and direction can be restricted to long only, short only, or both.
The dashboard is optional and displays realized volatility versus target, ensemble momentum, the efficiency metric, the volatility scalar, the quality multiplier, and final Recommended Exposure, including the fast/medium/slow breakdown.
Trend cloud bands are optional and provide range context; they are not the signal and are intended as visual regime support.
SETTINGS GUIDE (WHAT MATTERS MOST)
Fixed Timeframe mode is recommended for consistent volatility math across chart timeframes; Current Chart mode is more sensitive to the displayed timeframe.
Momentum horizons control responsiveness versus stability. Shorter lookbacks react faster but whipsaw more; longer lookbacks are smoother but slower. Weights allow emphasizing fast responsiveness or slow regime confirmation.
Volatility targeting turns the tool into a sizing engine by scaling exposure inversely to realized volatility. Target annualized volatility sets the risk budget, and the annualization basis (365 vs 252) aligns conventions for crypto versus traditional markets. Max Leverage caps the scalar in very low-volatility regimes.
The efficiency filter reduces exposure in choppy conditions; the floor controls how harshly exposure is reduced. Threshold and cooldown control how selective discrete signals are.
LIMITATIONS (IMPORTANT FOR USERS)
This is a trend-following framework, so it will lag turning points by design. Sideways markets can still cause whipsaws; cooldown and the efficiency filter may reduce but cannot eliminate this. Volatility targeting can reduce drawdowns during volatility expansions but may reduce participation during sharp V-shaped reversals after volatility increases. The efficiency metric is a practical proxy for trend straightness and can misclassify certain price paths.
REFERENCES
Moskowitz, T. J., Ooi, Y. H., and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250.
Harvey, C. R., Rattray, S., Sinclair, A., and Van Hemert, O. (2018). The impact of volatility targeting. Journal of Portfolio Management, 45(1), 14-33.
Hurst, B., Ooi, Y. H., and Pedersen, L. H. (2017). A century of evidence on trend-following investing. Journal of Portfolio Management, 44(1), 15-29.
DISCLAIMER
Educational and informational purposes only. Not financial advice. Trading involves risk. Past performance is not indicative of future results.
Midas Decision Dashboard (XAU)Midas Decision Dashboard (XAU)
Indicator Overview
Midas Decision Dashboard (XAU)** is a high-precision strategic tool specifically engineered for Gold (XAU/USD) scalping on lower timeframes like M1 and M5. Instead of providing a single, lagging signal, the dashboard acts as a "Mission Control" center, synthesizing four core market dimensions and real-time Price Action into a live, weighted scoring matrix.
The Four Strategic Pillars
The dashboard evaluates the market using a weighted logic system to ensure no single indicator triggers a false entry:
📈 TREND ANALYSIS (EMA 200 - 20%): Monitors the 200-period Exponential Moving Average to establish the primary market direction (BULL/BEAR/FLAT).
⚡ POWER & STRENGTH (ADX - 45%): The engine of the strategy. A high weight ensures you only engage when real trend strength is present. **WEAK** power is highlighted in Light Yellow to signal low-volatility caution.
🔥 MARKET ENERGY (CHOP - 25%): A sophisticated volatility meter that identifies BREAKOUT phases while flagging dangerous CONSOLIDATION zones in red to avoid sideways traps.
🌊 MOMENTUM SAFETY (RSI - 10%): Provides a final safety layer to prevent buying at overextended peaks or selling at oversaturated bottoms.
Dynamic Scoring & Signal Hierarchy
The system calculates a live score (0-100%) based on active conditions. The **🎯 SIGNAL** row triggers a verdict using a professional traffic-light system:
🟢 GO (80% - 100%): High-conviction alignment. All major pillars are in sync for an entry.
🟡 WAIT (50% - 79%): The market is developing, but full confirmation is currently missing.
🔴 STOP (Below 50%): Low-probability environment. No trade zone.
Disclaimer
Trading gold involves significant risk. This dashboard is a decision-support tool and should be used in conjunction with a proper risk management strategy.
Directional Movement Index (DMI)This Pine Script is a Directional Movement Index (DMI) indicator for TradingView that provides a comprehensive visualization of trend direction and strength with several enhanced visual features.
📊 Core Indicator Components:
1. Directional Indicators:
+DI (Green line): Measures upward trend momentum
-DI (Red line): Measures downward trend momentum
ADX (Blue line, optional): Measures overall trend strength (can be toggled on/off)
2. Key Calculations:
Uses built-in ta.dmi() function to calculate all three components
isBull condition: Determines current bias based on which DI line is higher
Bull signal: When +DI crosses above -DI
Bear signal: When +DI crosses below -DI
🎨 Visual Design Features:
1. Chart Plotting:
Thick lines (width=3) for +DI and -DI for better visibility
Color-coded plots: Green (+DI), Red (-DI), Blue (ADX)
2. Background Highlighting:
Light green background on bullish crossovers
Light red background on bearish crossovers
Uses 60% transparency for subtle visual cues
3. Real-time Status Panel:
Fixed table in the middle-right of the chart
Displays "↑ Bullish" (green) or "↓ Bearish" (red) in huge text
Updates on every bar to show current market bias
4. Line Labels:
Text labels at the right edge identifying each line
Color-matched to their respective indicators
ADX label only appears when ADX is enabled
⚙️ User Controls:
ADX toggle: Show/hide the ADX line
DI Length: Adjust calculation period (default 17)
ADX Smoothing: Fine-tune ADX smoothing (default 1)
📈 Trading Application:
Trend Identification: Which direction has stronger momentum
Signal Generation: Crossovers indicate potential trend changes
Trend Strength: ADX (when shown) indicates if a trend is strong (>25) or weak
Visual Clarity: Multiple visual cues make signals easy to spot
🖥️ Display Logic:
The script intelligently handles what to display based on user settings
When ADX is disabled, it plots na (not available) to avoid scale distortion
All visual elements update dynamically with each new bar
🎯 Unique Aspects:
Multi-layered visualization: Combines lines, background colors, labels, and a status table
Clean separation: Uses box-drawing characters to organize code sections
Right-edge labeling: Makes indicator identification clear even on crowded charts
Immediate bias recognition: The large text table provides instant market bias assessment
This indicator is particularly useful for traders who want a clear, visually rich representation of trend direction without needing to interpret multiple lines simultaneously. The color-coded background and status panel provide quick visual confirmation of market conditions.
Bank CRE Stress & Short Risk Overlay + Dashboard
🏦 Bank CRE Short-Selling Dashboard:
- Expands the static database to better match the dashboard's highCRE + shortCandidates.
- Uses CRE ratio thresholds from dashboard (e.g., critical ~>500%, high ~400-500%, etc.).
- Keeps price stress logic (you can tweak it).
- Includes more failed/failed-like flags.
Access the Live Risk Monitoring & Trade Opportunities 🏦 Bank CRE Short-Selling Dashboard
claude.ai
BoaBias: Fractals + FVG [FREE]BoaBias: Fractals + FVG is a professional market structure analysis indicator that combines advanced fractals and Fair Value Gaps (FVG) with multi-timeframe support.
✨ Key Features
🔷 Advanced Fractals
Fractal Type Detection: Automatic identification of Day/Week/Month/Day+Week fractals
Smart Break Detection: Breakouts are checked on corresponding timeframes
3 or 5 Bar Fractals: Adjustable sensitivity
Visual Support/Resistance Lines: Clear display of key levels
📈 Fair Value Gaps (FVG)
Current Timeframe FVG: Automatic detection and display of zones
HTF FVG Support: FVG analysis across multiple timeframes (1H, 4H, 12H, 1D, 3D, 1W, 1M)
Auto Removal: Filled zones are automatically removed
Color Customization: Separate colors for bullish and bearish zones
🎯 Who is this indicator for?
Traders using market structure analysis
Those working with fractals and FVG
Multi-timeframe traders
Anyone who wants to visually see key levels and zones
⚙️ Settings
Fractals
Fractal period (3 or 5 bars)
Line width
Maximum active levels
Display window (last N bars)
Break detection settings (body only or with wicks)
FVG
Enable/disable FVG
HTF timeframe configuration
Colors for bullish and bearish zones
Automatic removal of filled zones
Maximum HTF zones count
💡 Advantages
✅ Clean Visual Analysis — Only lines and zones, no clutter
✅ Multi-Timeframe Analysis — See structure across different timeframes simultaneously
✅ Smart Fractal Logic — Automatic identification of important levels
✅ Professional Tool — Used in real trading
Trigonum ChannelAn awesome oscillator that allows you to identify market waves with a mean deviation limit to filter out noise.
Seasonality (Prev Month Close Expected)Seasonality Indicator
This indicator shows how an asset has historically behaved during each calendar month. It highlights the typical price direction and strength for the current month based on long-term seasonal patterns.
The projected zone on the chart represents the average historical outcome for the ongoing month, allowing traders to quickly see whether current price action is developing in line with, above, or below its usual seasonal behavior. A heatmap summarizes monthly performance across years, making recurring strong and weak periods easy to identify.
Vladimir Popdimitrov
