BTC Dynamic Volatility Trend Backtested from 2017 to present, this strategy has delivered a staggering 7100%+ cumulative return. It doesn't just track the market; it dominates it. By capturing major trends and strictly limiting drawdowns, it has significantly outperformed the standard 'Buy & Hold' BTC strategy, proving its ability to generate massive alpha across multiple bull and bear cycles.
่ช 2017 ๅนด่ณไป๏ผๆฌ็ญ็ฅๅฎ็ฐไบๆไบบ็ 7100%+ ็ดฏ่ฎกๆถ็็ใๅฎไธไป
ไป
ๆฏ่ท้ๅธๅบ๏ผๆดๆฏ่ถ
่ถไบๅธๅบใ้่ฟ็ฒพๅๆๆไธปๅๆตชๅนถไธฅๆ ผๆงๅถๅๆค๏ผ่ฏฅ็ญ็ฅๅจ็ฉฟ่ถๅค่ฝฎ็็ๅจๆๅ๏ผๅคงๅน
ๅบฆ่ท่ตขไบๆฏ็นๅธโไนฐๅ
ฅๆๆโ๏ผBuy & Hold๏ผ็ๅบๅๆถ็๏ผๅฑ็ฐไบๆ่ด็้ฟๅฐๆณ๏ผAlpha๏ผๆๆ่ฝๅใ"
Introduction ๏ผSimplicity is the ultimate sophistication. This strategy is designed specifically for Bitcoin (BTC), capturing its unique characteristics: high volatility, frequent fakeouts, and massive trend persistence. It abandons complex indicators in favor of a robust logic: "Follow the Trend, Filter the Noise, Let Profits Run."
Core Logic
Trend Filter (Fibonacci EMA 144): We use the 144-period Exponential Moving Average as the baseline. Longs are only taken above this line, and shorts only below. This keeps you on the right side of the major trend.
Volatility Breakout (Donchian Channel 20): Entries are triggered only when price breaks the 20-day high (for longs) or low (for shorts). This confirms momentum and avoids trading in chop.
Dynamic Risk Management (ATR Chandelier Exit):
Instead of fixed % stops, we use Average True Range (ATR) to calculate stop losses.
The Ratchet Mechanism: The stop loss moves up with the price but never moves down (for longs). This locks in profits automatically as the trend develops and exits immediately when volatility turns against you.
Why Use This Strategy?
Zero Repainting: All signals are confirmed.
No Curve Fitting: Uses classic parameters (144, 20) that have worked for decades.
Mental Peace: The strategy handles the exit. You don't need to guess where to sell. It holds through minor corrections and exits only when the trend truly reverses.
Settings
Leverage %: Adjust your position size based on equity (default 100% = 1x).
Timeframe: Recommended for 4H charts.
ไธญๆ็ (Chinese Version)
็ฎไป ๏ผๅคง้่ณ็ฎใๆฌ็ญ็ฅไธไธบ ๆฏ็นๅธ (BTC) ่ฎพ่ฎก๏ผ้ๅฏนๅ
ถ้ซๆณขๅจใๅ็ช็ ดๅคไฝ่ถๅฟ็ๅๅๅผบ็็น็น๏ผๆๅผไบๅคๆ็่ฟๅบฆๆๅๆๆ ๏ผๅๅฝไบคๆๆฌ่ดจ๏ผโ้กบๅคงๅฟ๏ผๆปคๅช้ณ๏ผๆชๆญไบๆ๏ผ่ฎฉๅฉๆถฆๅฅ่ทโใ
ๆ ธๅฟ้ป่พ
่ถๅฟ่ฟๆปคๅจ (ๆๆณข้ฃๅฅ EMA 144)๏ผ ไฝฟ็จ 144 ๅจๆๆๆฐ็งปๅจๅนณๅ็บฟไฝไธบๅค็ฉบๅๆฐดๅฒญใไปทๆ ผๅจๅ็บฟไนไธๅชๅๅค๏ผไนไธๅชๅ็ฉบใ่ฟ่ฝๆๆ่ฟๆปคๆๅคง้จๅ้่กๅธ็ๅช้ณใ
ๆณขๅจ็็ช็ ด (ๅๅฅๅฎ้้ 20)๏ผ ๅชๆๅฝไปทๆ ผ็ช็ ด่ฟๅป 20 ๆ น K ็บฟ็ๆ้ซไปท๏ผๅๅค๏ผๆๆไฝไปท๏ผๅ็ฉบ๏ผๆถๆ่ฟๅบใ่ฟ็กฎไฟไบๆไปฌๅชๅจ่ถๅฟ็กฎ็ซ็็ฌ้ดๅ
ฅๅบใ
ๅจๆ้ฃๆง (ATR ๅ็ฏๆญขๆ)๏ผ
ๆ็ปๅบๅฎ็นๆฐๆญขๆ๏ผไฝฟ็จ ATR๏ผๅนณๅ็ๅฎๆณขๅน
๏ผๆ นๆฎๅธๅบ็ญๅบฆๅจๆ่ฎก็ฎๅฎๅ
จ่ท็ฆปใ
ๆฃ่ฝฎๆบๅถ๏ผ ๆญขๆ็บฟไผ่ท้ไปทๆ ผไธๆถจ่ไธ็งป๏ผไฝ็ปไธไผไธ็งป๏ผๅๅคๆถ๏ผใ่ฟๅฎ็ฐไบ่ชๅจๅ็โๅฉๆถฆ้ๅฎโ๏ผๆข่ฝๆไฝๆญฃๅธธ็ๆณขๅจๅ่ฐ๏ผๅ่ฝๅจๅคงๅฟๅ่ฝฌๆถๆๆญ็ฆปๅบใ
็ญ็ฅไผๅฟ
็ปไธ้็ป๏ผ ๆๆไฟกๅทๅไธบๆถ็็กฎ่ฎคๆๅฎๆถ่งฆไปทใ
ๆ็ปๆๅ๏ผ ไฝฟ็จ็ป่ฟๆฐๅๅนดๅธๅบ้ช่ฏ็็ปๅ
ธๅๆฐ็ปๅใ
ๅฟๆ็ฎก็๏ผ ็ญ็ฅๅ
จ่ชๅจ็ฎก็ๅบๅบใไฝ ไธ้่ฆ็บ ็ปไฝๆถๆญข็๏ผๅฎไผๅธฎไฝ ๅๅฐๅฎๆด็้ฑผ่บซ๏ผ็ดๅฐ่ถๅฟ็ปๆใ
ไฝฟ็จๅปบ่ฎฎ
่ต้็ฎก็๏ผ ๅฏ้่ฟๅๆฐ่ฐๆดไปไฝๅ ๆฏ๏ผ้ป่ฎค 100% = 1ๅๆ ๆ๏ผใ
ๆจ่ๅจๆ๏ผ ๅปบ่ฎฎๅจ4ๅฐๆถ ๅพ่กจไธ่ฟ่กๆๆๆไฝณใ
Indicators and strategies
TomTrades Candle Behavior & Timing + TP + Alertsgreen mean sell red mean buy if prices breaks above green its a buy same for red if price stay below red its a sell white line is hourly trend line
T-DOW-FLOW: Final Edition
T-DOW-FLOW: Market Structure & Smart Pivot Zones
This indicator is a comprehensive technical analysis tool designed to visualize "Market Structure" based on Dow Theory and precise Supply/Demand Zones. It helps traders identify the true market trend and high-probability reaction levels by analyzing raw price action (ZigZag Pivots) rather than lagging indicators.
The script integrates three core systems:
ZigZag Trend Cloud: Visualizes the market bias (Uptrend/Downtrend).
Smart Pivot Zones (Type 1): Highlights the specific "Wick-to-Body" area of recent pivots.
Auto Density Channels (Type 2): Detects historical support/resistance clusters.
1. ZigZag Trend Identification
Logic: The script utilizes ta.highestbars and ta.lowestbars to detect Swing Highs and Swing Lows.
Trend Cloud:
If the structure creates a Higher High, the background cloud turns Green (Uptrend).
If the structure creates a Lower Low, the background cloud turns Red (Downtrend).
This provides an instant visual filter for "Trend Flow," encouraging traders to trade only in the direction of the dominant market structure.
2. SR Type 1: Smart Pivot Zones (Wick-to-Body)
Unlike standard indicators that draw thin lines at the absolute High/Low, this script focuses on the "Imbalance Zone".
It calculates the price range between the Pivot's Wick and the Pivot's Body (Open/Close) and fills this area with a colored zone.
Why? The area between the wick and body often represents the precise zone where institutional orders were filled, acting as a more reliable support/resistance level than a single price point.
3. SR Type 2: Auto Density Channels
This module scans a significant amount of historical data (default: 300 bars) to find clusters of pivot points.
Areas where multiple pivots align within a specific width are drawn as Channels. These represent strong, long-term psychological levels.
Trend Filter: Check the Trend Cloud color.
Green: Look for Long opportunities.
Red: Look for Short opportunities.
Entry Trigger: Wait for the price to retrace into a Smart Pivot Zone (Type 1) or an Auto Channel (Type 2).
Look for price rejection (wicks) at these zones in the direction of the Trend Cloud.
Structure Confirmation: Use the ZigZag lines and labels (HH, HL, etc.) to confirm that the market structure is still intact before entering.
ZigZag Settings: Adjust the sensitivity of the trend detection.
SR Type 1: Toggle the "Wick-to-Body" fill and choose between Wicks or Bodies as the primary source.
SR Type 2: Adjust the historical loopback period and channel width sensitivity.
This script is for educational and technical analysis purposes only. Past performance does not guarantee future results.
(ไปฅไธใๆฅๆฌ่ช่ชฌๆ / Japanese Description)
ใใฎใคใณใธใฑใผใฟใผใฏใใใใฆ็่ซใใซๅบใฅใใใฌใณใๅคๅฎใจใ็ฒพๅฏใชใ้็ตฆใพใผใณ๏ผSupply/Demand๏ผใใๅฏ่ฆๅใใใใใฎๅธๅ ดๆง้ ๅๆใใผใซใงใใ ้
่กๆๆจใไฝฟใใใ็ด็ฒใชใใฉใคในใขใฏใทใงใณ๏ผZigZagใใใใ๏ผใซๅบใฅใใฆใๆฉ้ขๆ่ณๅฎถใฎๆ่ญใใไพกๆ ผๅธฏใ็นๅฎใใพใใ
1. ZigZagใใฌใณใใฏใฉใฆใ
ใญใธใใฏ: ไธๅฎๆ้ใฎ้ซๅคใปๅฎๅคใๆคๅบใใใใฆ็่ซใซๅบใฅใใฆใใฌใณใใๅคๅฎใใพใใ
่ฆ่ฆๅ: ้ซๅคๅใไธใ๏ผไธๆใใฌใณใ๏ผใชใใ็ทใใๅฎๅคๅใไธใ๏ผไธ่ฝใใฌใณใ๏ผใชใใ่ตคใใฎ่ๆฏ่ฒใ่กจ็คบใใพใใใใใซใใใใใฌใผใใในใๆนๅ๏ผ้ ๅผตใ๏ผใไธ็ฎใงๅคๆญใงใใพใใ
2. SR Type 1: ในใใผใใใใใใพใผใณ (Wick-to-Body)
ๅใชใๆฐดๅนณ็ทใงใฏใชใใใญใผใฝใฏ่ถณใฎ**ใใใฒๅ
ใใใใๅฎไฝใใพใงใฎไพกๆ ผๅทฎ**ใใพใผใณใจใใฆๅกใใคใถใใฆ่กจ็คบใใพใใ
็็ฑ: ใใฒใจๅฎไฝใฎ้ใฎ้ ๅใฏใๅคงๅฃใฎๆณจๆใๅท่กใใใ๏ผ้็ตฆใฎไธๅ่กกใ็บ็ใใ๏ผ้่ฆใชใจใชใขใงใใใใจใๅคใใใใณใใคใณใใฎใฉใคใณใใใไฟก้ ผๆงใฎ้ซใๅ็บใพใผใณใจใใฆๆฉ่ฝใใพใใ
3. SR Type 2: ใชใผใใปใใณใทใใฃใปใใฃใใซ
้ๅปใฎ้ทๆ้๏ผใใใฉใซใ300ๆฌ๏ผใฎใใผใฟใในใญใฃใณใใใใใใใๅฏ้ใใฆใใไพกๆ ผๅธฏใ่ชๅใงใใใฃใใซใใจใใฆๆ็ปใใพใใ้ทๆ็ใซๆ่ญใใใๅผทๅใชใฌใธใตใๅธฏใงใใ
็ฐๅข่ช่ญ: ่ๆฏใฎใใฌใณใใฏใฉใฆใใฎ่ฒใซๅพใใ็ฎ็ทใๅบๅฎใใพใใ
ใจใณใใชใผ: ไพกๆ ผใSRใพใผใณ๏ผType 1๏ผใใใฃใใซ๏ผType 2๏ผใซๅผใใคใใฆใๅ็บใใๅใใ็ขบ่ชใใฆใจใณใใชใผใใพใใ
ๆง้ ็ขบ่ช: ZigZagใฉใคใณใจใฉใใซ๏ผHH/HLใชใฉ๏ผใ่ฆใฆใใใฌใณใใๅดฉใใฆใใชใใใจใ็ขบ่ชใใพใใ
FVG Maxing - Fair Value Gaps, Equilibrium, and Candle Patterns
What this script does
This open-source indicator highlights 3-candle fair value gaps (FVGs) on the active chart timeframe, draws their midpoint ("equilibrium") line, tracks when each gap is mitigated, and optionally marks simple candle patterns (engulfing and doji) for confluence. It is intended as an educational tool to study how price interacts with imbalances.
3-candle bullish and bearish FVG zones drawn as forward-extending boxes.
Equilibrium line at 50% of each gap.
Different styling for mitigated vs unmitigated gaps.
Compact statistics panel showing how many gaps are currently active and filled.
Optional overlays for bullish/bearish engulfing patterns and doji candles.
1. FVG logic (3-candle gaps)
The script focuses on a strict 3-candle definition of a fair value gap:
Three consecutive candles with the same body direction.
The wick of candle 3 is separated from the wick of candle 1 (no overlap).
A bullish gap is created when price moves up fast enough to leave a gap between candle 1 and 3. A bearish gap is the mirror case to the downside.
In Pine, the core detection looks like this:
// Three candles with the same body direction
bull_seq = close > open and close > open and close > open
bear_seq = close < open and close < open and close < open
// Wick gap between candle 1 and candle 3
bull_gap = bull_seq and low > high
bear_gap = bear_seq and high < low
// Final FVG flags
is_bull_fvg = bull_gap
is_bear_fvg = bear_gap
For each detected FVG:
Bullish FVG range: from high up to low (gap below current price).
Bearish FVG range: from low down to high (gap above current price).
Each zone is stored in a custom FVGData structure so it can be updated when price later trades back inside it.
2. Equilibrium line (0.5 of the gap)
Every FVG box gets an optional equilibrium line plotted at the midpoint between its top and bottom:
eq_level = (top + bottom) / 2.0
right_index = extend_boxes ? bar_index + extend_length_bars : bar_index
bx = box.new(bar_index - 2, top, right_index, bottom)
eq_ln = line.new(bar_index - 2, eq_level, right_index, eq_level)
line.set_style(eq_ln, line.style_dashed)
line.set_color(eq_ln, eq_color)
You can use this line as a neutral โfair valueโ reference inside the zone, or as a simple way to think in terms of premium/discount within each gap.
3. Mitigation rules and styling
Each FVG stays active until price trades back into the gap:
Bullish FVG is considered mitigated when the low touches or moves below the top of the gap.
Bearish FVG is considered mitigated when the high touches or moves above the bottom of the gap.
When that happens, the script:
Marks the internal FVGData entry as mitigated.
Softens the box fill and border colors.
Optionally updates the label text from "BULL EQ / BEAR EQ" to "BULL FILLED / BEAR FILLED".
Can hide mitigated zones almost completely if you only want to see unfilled imbalances.
This allows you to distinguish between current areas of interest and zones that have already been traded through.
4. Candle pattern overlays (engulfing and doji)
For additional confluence, the script can mark simple candle patterns on top of the FVG view:
Bullish engulfing โ current candle body fully wraps the previous bearish body and is larger in size.
Bearish engulfing โ current candle body fully wraps the previous bullish body and is larger in size.
Doji โ candles where the real body is small relative to the full range (highโlow).
The detection is based on basic body and range geometry:
curr_body = math.abs(close - open)
prev_body = math.abs(close - open )
curr_range = high - low
body_ratio = curr_range > 0 ? curr_body / curr_range : 1.0
bull_engulfing = close > open and close < open and open <= close and close >= open and curr_body > prev_body
bear_engulfing = close < open and close > open and open >= close and close <= open and curr_body > prev_body
is_doji = curr_range > 0 and body_ratio <= doji_body_ratio
On the chart, they appear as:
Small triangle markers below bullish engulfing candles.
Small triangle markers above bearish engulfing candles.
Small circles above doji candles.
All three overlays are optional and can be turned on or off and recolored in the CANDLE PATTERNS group of inputs.
5. Inputs overview
The script organizes settings into clear groups:
DISPLAY SETTINGS : Show bullish/bearish FVGs, show/hide mitigated zones, box extension length, box border width, and maximum number of boxes.
EQUILIBRIUM : Toggle equilibrium lines, color, and line width.
LABELS : Enable labels, choose whether to label unmitigated and/or mitigated zones, and select label size.
BULLISH COLORS / BEARISH COLORS : Separate fill and border colors for bullish and bearish gaps.
MITIGATED STYLE : Opacity used when a gap is marked as mitigated.
STATISTICS : Toggle the on-chart FVG statistics panel.
CANDLE PATTERNS : Show engulfing patterns, show dojis, colors, and the body-to-range threshold that defines a doji.
6. Statistics panel
An optional table in the corner of the chart summarizes the current state of all tracked gaps:
Total number of FVGs still being tracked.
Number of bullish vs bearish FVGs.
Number of unfilled vs mitigated FVGs.
Simple fill rate: percentage of tracked FVGs that have been marked as mitigated.
This can help you study how a particular market tends to treat gaps over time.
7. How you might use it (examples)
These are usage ideas only, not recommendations:
Study how often your symbol mitigates gaps and where inside the zone price tends to react.
Use higher-timeframe context and then refine entries near the equilibrium line on your trading timeframe.
Combine FVG zones with basic candle patterns (engulfing/doji) as an extra visual anchor, if that fits your process.
Hope you enjoy, give your feedback in the comments!
- officialjackofalltrades
MeanReversion_tradeALERTOverview The Apex Reversal Predictor v2.5 is a specialized mean reversion strategy designed for scalping high-volatility assets like NQ (Nasdaq), ES (S&P 500), and Crypto. While most indicators chase breakouts, this system hunts for "Liquidity Sweeps"โmoments where the market briefly breaks a key level to trap retail traders before snapping back to the true value (VWAP).
This is not just a signal indicator; it is a full Trade Manager that calculates your Entry, Stop Loss, and Take Profit levels automatically based on volatility (ATR).
The Logic: Why This Works Markets act like a rubber band. They can only stretch so far from their average price before snapping back. This script combines three layers of logic to identify these snap-back points:
The Stretch (Sigma Score): Measures how far price is from the VWAP relative to ATR. If the score > 2.0, the "rubber band" is overextended.
The Trap (Liquidity Sweep): Identifies Pivot Highs/Lows. It waits for price to break a pivot (luring in breakout traders) and then immediately reverse (trapping them).
The Exhaustion (RSI): Confirms that momentum is Overbought/Oversold to prevent trading against a strong trend.
Key Features
Dynamic Lines: Automatically draws Blue (Entry), Red (SL), and Green (TP) lines on the chart for active trades.
Smart Targets: Two modes for taking profit:
Mean Reversion: Targets the VWAP line (High Win Rate).
Fixed Ratio: Targets a specific Risk:Reward (e.g., 1:2).
Live Dashboard: Tracks Win Rate, Net Points, and the live "Stretch Score" in the bottom right corner.
Alert Ready: Formatted JSON alerts for easy integration with Discord or trading bots.
How & When to Use (User Guide)
1. Best Timeframes
5-Minute (5m): Best for NQ and volatile stocks (TSLA, NVDA). Filters out 1-minute noise but catches the intraday reversals.
15-Minute (15m): Best for Forex or slower-moving indices (ES).
2. The Setup Checklist Before taking a trade, look at the Dashboard in the bottom right:
Step 1: Check the "Stretch (Sigma)". Is it Orange or Red? This means price is extended and ripe for a reversal. If it's Green, the market is calmโbe careful.
Step 2: Wait for the Signal.
"Apex BUY" (Green Label): Price swept a low and closed green.
"Apex SELL" (Red Label): Price swept a high and closed red.
Step 3: Execute. Enter at the close of the signal candle. Set your stop loss at the Red Line provided by the script.
3. Warning / When NOT to Use
Strong Trending Days: If the market is trending heavily (e.g., creating higher highs all day without looking back), do not fight the trend.
News Events: Avoid using this during CPI, FOMC, or NFP releases. The "rubber band" logic breaks during news because volatility expands indefinitely.
EMA Market Structure [BOSWaves]// This Pine Scriptโข code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// Join our channel for more free tools: t.me
// This Pine Scriptยฎ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// ยฉ BOSWaves
//@version=6
indicator("EMA Market Structure ", overlay=true, max_lines_count=500, max_labels_count=500, max_boxes_count=500)
// ============================================================================
// Inputs
// ============================================================================
// Ema settings
emaLength = input.int(50, "EMA Length", minval=1, tooltip="Period for the Exponential Moving Average calculation")
emaSource = input.source(close, "EMA Source", tooltip="Price source for EMA calculation (close, open, high, low, etc.)")
colorSmooth = input.int(3, "Color Smoothing", minval=1, group="EMA Style", tooltip="Smoothing period for the EMA color gradient transition")
showEmaGlow = input.bool(true, "EMA Glow Effect", group="EMA Style", tooltip="Display glowing halo effect around the EMA line for enhanced visibility")
// Structure settings
swingLength = input.int(5, "Swing Detection Length", minval=2, group="Structure", tooltip="Number of bars to the left and right to identify swing highs and lows")
swingCooloff = input.int(10, "Swing Marker Cooloff (Bars)", minval=1, group="Structure", tooltip="Minimum number of bars between consecutive swing point markers to reduce visual clutter")
showSwingLines = input.bool(true, "Show Structure Lines", group="Structure", tooltip="Display lines connecting swing highs and swing lows")
showSwingZones = input.bool(true, "Show Structure Zones", group="Structure", tooltip="Display shaded zones between consecutive swing points")
showBOS = input.bool(true, "Show Break of Structure", group="Structure", tooltip="Display BOS labels and stop loss levels when price breaks structure")
bosCooloff = input.int(15, "BOS Cooloff (Bars)", minval=5, maxval=50, group="Structure", tooltip="Minimum number of bars required between consecutive BOS signals to avoid signal spam")
slExtension = input.int(20, "SL Line Extension (Bars)", minval=5, maxval=100, group="Structure", tooltip="Number of bars to extend the stop loss line into the future for visibility")
slBuffer = input.float(0.1, "SL Buffer %", minval=0, maxval=2, step=0.05, group="Structure", tooltip="Additional buffer percentage to add to stop loss level for safety margin")
// Background settings
showBG = input.bool(true, "Show Trend Background", group="EMA Style", tooltip="Display background color based on EMA trend direction")
bgBullColor = input.color(color.new(#00ff88, 96), "Bullish BG", group="EMA Style", tooltip="Background color when EMA is in bullish trend")
bgBearColor = input.color(color.new(#ff3366, 96), "Bearish BG", group="EMA Style", tooltip="Background color when EMA is in bearish trend")
// ============================================================================
// Ema trend filter with gradient color
// ============================================================================
ema = ta.ema(emaSource, emaLength)
// Calculate EMA acceleration for gradient color
emaChange = ema - ema
emaAccel = ta.ema(emaChange, colorSmooth)
// Manual tanh function for normalization
tanh(x) =>
ex = math.exp(2 * x)
(ex - 1) / (ex + 1)
accelNorm = tanh(emaAccel / (ta.atr(14) * 0.01))
// Map normalized accel to hue (60 = green, 120 = yellow/red)
hueRaw = 60 + accelNorm * 60
hue = na(hueRaw ) ? hueRaw : (hueRaw + hueRaw ) / 2
sat = 1.0
val = 1.0
// HSV to RGB conversion
hsv_to_rgb(h, s, v) =>
c = v * s
x = c * (1 - math.abs((h / 60) % 2 - 1))
m = v - c
r = 0.0
g = 0.0
b = 0.0
if (h < 60)
r := c
g := x
b := 0
else if (h < 120)
r := x
g := c
b := 0
else if (h < 180)
r := 0
g := c
b := x
else if (h < 240)
r := 0
g := x
b := c
else if (h < 300)
r := x
g := 0
b := c
else
r := c
g := 0
b := x
color.rgb(int((r + m) * 255), int((g + m) * 255), int((b + m) * 255))
emaColor = hsv_to_rgb(hue, sat, val)
emaTrend = ema > ema ? 1 : ema < ema ? -1 : 0
// EMA with enhanced glow effect using fills
glowOffset = ta.atr(14) * 0.25
emaGlow8 = plot(showEmaGlow ? ema + glowOffset * 8 : na, "EMA Glow 8", color.new(emaColor, 100), 1, display=display.none)
emaGlow7 = plot(showEmaGlow ? ema + glowOffset * 7 : na, "EMA Glow 7", color.new(emaColor, 100), 1, display=display.none)
emaGlow6 = plot(showEmaGlow ? ema + glowOffset * 6 : na, "EMA Glow 6", color.new(emaColor, 100), 1, display=display.none)
emaGlow5 = plot(showEmaGlow ? ema + glowOffset * 5 : na, "EMA Glow 5", color.new(emaColor, 100), 1, display=display.none)
emaGlow4 = plot(showEmaGlow ? ema + glowOffset * 4 : na, "EMA Glow 4", color.new(emaColor, 100), 1, display=display.none)
emaGlow3 = plot(showEmaGlow ? ema + glowOffset * 3 : na, "EMA Glow 3", color.new(emaColor, 100), 1, display=display.none)
emaGlow2 = plot(showEmaGlow ? ema + glowOffset * 2 : na, "EMA Glow 2", color.new(emaColor, 100), 1, display=display.none)
emaGlow1 = plot(showEmaGlow ? ema + glowOffset * 1 : na, "EMA Glow 1", color.new(emaColor, 100), 1, display=display.none)
emaCore = plot(ema, "EMA Core", emaColor, 3)
emaGlow1b = plot(showEmaGlow ? ema - glowOffset * 1 : na, "EMA Glow 1b", color.new(emaColor, 100), 1, display=display.none)
emaGlow2b = plot(showEmaGlow ? ema - glowOffset * 2 : na, "EMA Glow 2b", color.new(emaColor, 100), 1, display=display.none)
emaGlow3b = plot(showEmaGlow ? ema - glowOffset * 3 : na, "EMA Glow 3b", color.new(emaColor, 100), 1, display=display.none)
emaGlow4b = plot(showEmaGlow ? ema - glowOffset * 4 : na, "EMA Glow 4b", color.new(emaColor, 100), 1, display=display.none)
emaGlow5b = plot(showEmaGlow ? ema - glowOffset * 5 : na, "EMA Glow 5b", color.new(emaColor, 100), 1, display=display.none)
emaGlow6b = plot(showEmaGlow ? ema - glowOffset * 6 : na, "EMA Glow 6b", color.new(emaColor, 100), 1, display=display.none)
emaGlow7b = plot(showEmaGlow ? ema - glowOffset * 7 : na, "EMA Glow 7b", color.new(emaColor, 100), 1, display=display.none)
emaGlow8b = plot(showEmaGlow ? ema - glowOffset * 8 : na, "EMA Glow 8b", color.new(emaColor, 100), 1, display=display.none)
// Create glow layers with fills (from outermost to innermost)
fill(emaGlow8, emaGlow7, showEmaGlow ? color.new(emaColor, 97) : na)
fill(emaGlow7, emaGlow6, showEmaGlow ? color.new(emaColor, 95) : na)
fill(emaGlow6, emaGlow5, showEmaGlow ? color.new(emaColor, 93) : na)
fill(emaGlow5, emaGlow4, showEmaGlow ? color.new(emaColor, 90) : na)
fill(emaGlow4, emaGlow3, showEmaGlow ? color.new(emaColor, 87) : na)
fill(emaGlow3, emaGlow2, showEmaGlow ? color.new(emaColor, 83) : na)
fill(emaGlow2, emaGlow1, showEmaGlow ? color.new(emaColor, 78) : na)
fill(emaGlow1, emaCore, showEmaGlow ? color.new(emaColor, 70) : na)
fill(emaCore, emaGlow1b, showEmaGlow ? color.new(emaColor, 70) : na)
fill(emaGlow1b, emaGlow2b, showEmaGlow ? color.new(emaColor, 78) : na)
fill(emaGlow2b, emaGlow3b, showEmaGlow ? color.new(emaColor, 83) : na)
fill(emaGlow3b, emaGlow4b, showEmaGlow ? color.new(emaColor, 87) : na)
fill(emaGlow4b, emaGlow5b, showEmaGlow ? color.new(emaColor, 90) : na)
fill(emaGlow5b, emaGlow6b, showEmaGlow ? color.new(emaColor, 93) : na)
fill(emaGlow6b, emaGlow7b, showEmaGlow ? color.new(emaColor, 95) : na)
fill(emaGlow7b, emaGlow8b, showEmaGlow ? color.new(emaColor, 97) : na)
// ============================================================================
// Swing high/low detection
// ============================================================================
// Swing High/Low Detection
swingHigh = ta.pivothigh(high, swingLength, swingLength)
swingLow = ta.pivotlow(low, swingLength, swingLength)
// Cooloff tracking
var int lastSwingHighPlot = na
var int lastSwingLowPlot = na
// Check if cooloff period has passed
canPlotHigh = na(lastSwingHighPlot) or (bar_index - lastSwingHighPlot) >= swingCooloff
canPlotLow = na(lastSwingLowPlot) or (bar_index - lastSwingLowPlot) >= swingCooloff
// Store swing points
var float lastSwingHigh = na
var int lastSwingHighBar = na
var float lastSwingLow = na
var int lastSwingLowBar = na
// Track previous swing for BOS detection
var float prevSwingHigh = na
var float prevSwingLow = na
// Update swing highs with cooloff
if not na(swingHigh) and canPlotHigh
prevSwingHigh := lastSwingHigh
lastSwingHigh := swingHigh
lastSwingHighBar := bar_index - swingLength
lastSwingHighPlot := bar_index
// Update swing lows with cooloff
if not na(swingLow) and canPlotLow
prevSwingLow := lastSwingLow
lastSwingLow := swingLow
lastSwingLowBar := bar_index - swingLength
lastSwingLowPlot := bar_index
// ============================================================================
// Structure lines & zones
// ============================================================================
var line swingHighLine = na
var line swingLowLine = na
var box swingHighZone = na
var box swingLowZone = na
if showSwingLines
// Draw line connecting swing highs with zones
if not na(swingHigh) and canPlotHigh and not na(prevSwingHigh)
if not na(lastSwingHighBar)
line.delete(swingHighLine)
swingHighLine := line.new(lastSwingHighBar, lastSwingHigh, bar_index - swingLength, swingHigh, color=color.new(#ff3366, 0), width=2, style=line.style_solid)
// Create resistance zone
if showSwingZones
box.delete(swingHighZone)
zoneTop = math.max(lastSwingHigh, swingHigh)
zoneBottom = math.min(lastSwingHigh, swingHigh)
swingHighZone := box.new(lastSwingHighBar, zoneTop, bar_index - swingLength, zoneBottom, border_color=color.new(#ff3366, 80), bgcolor=color.new(#ff3366, 92))
// Draw line connecting swing lows with zones
if not na(swingLow) and canPlotLow and not na(prevSwingLow)
if not na(lastSwingLowBar)
line.delete(swingLowLine)
swingLowLine := line.new(lastSwingLowBar, lastSwingLow, bar_index - swingLength, swingLow, color=color.new(#00ff88, 0), width=2, style=line.style_solid)
// Create support zone
if showSwingZones
box.delete(swingLowZone)
zoneTop = math.max(lastSwingLow, swingLow)
zoneBottom = math.min(lastSwingLow, swingLow)
swingLowZone := box.new(lastSwingLowBar, zoneTop, bar_index - swingLength, zoneBottom, border_color=color.new(#00ff88, 80), bgcolor=color.new(#00ff88, 92))
// ============================================================================
// Break of structure (bos)
// ============================================================================
// Track last BOS bar for cooloff
var int lastBullishBOS = na
var int lastBearishBOS = na
// Check if cooloff period has passed
canPlotBullishBOS = na(lastBullishBOS) or (bar_index - lastBullishBOS) >= bosCooloff
canPlotBearishBOS = na(lastBearishBOS) or (bar_index - lastBearishBOS) >= bosCooloff
// Bullish BOS: Price breaks above previous swing high while EMA is bullish
bullishBOS = showBOS and canPlotBullishBOS and emaTrend == 1 and not na(prevSwingHigh) and close > prevSwingHigh and close <= prevSwingHigh
// Bearish BOS: Price breaks below previous swing low while EMA is bearish
bearishBOS = showBOS and canPlotBearishBOS and emaTrend == -1 and not na(prevSwingLow) and close < prevSwingLow and close >= prevSwingLow
// Update last BOS bars
if bullishBOS
lastBullishBOS := bar_index
if bearishBOS
lastBearishBOS := bar_index
// Plot BOS with enhanced visuals and SL at the candle wick
if bullishBOS
// Calculate SL at the low of the current candle (bottom of wick) with buffer
slLevel = low * (1 - slBuffer/100)
// BOS Label with shadow effect
label.new(bar_index, low, "BOS", style=label.style_label_up, color=color.new(#00ff88, 0), textcolor=color.black, size=size.normal, tooltip="Bullish Break of Structure SL: " + str.tostring(slLevel))
// Main SL line at candle low
line.new(bar_index, slLevel, bar_index + slExtension, slLevel, color=color.new(#00ff88, 0), width=2, style=line.style_dashed, extend=extend.none)
// SL zone box for visual emphasis
box.new(bar_index, slLevel + (slLevel * 0.002), bar_index + slExtension, slLevel - (slLevel * 0.002), border_color=color.new(#00ff88, 60), bgcolor=color.new(#00ff88, 85))
// S/R label
label.new(bar_index + slExtension, slLevel, "S/R", style=label.style_label_left, color=color.new(#00ff88, 0), textcolor=color.black, size=size.tiny)
if bearishBOS
// Calculate SL at the high of the current candle (top of wick) with buffer
slLevel = high * (1 + slBuffer/100)
// BOS Label with shadow effect
label.new(bar_index, high, "BOS", style=label.style_label_down, color=color.new(#ff3366, 0), textcolor=color.white, size=size.normal, tooltip="Bearish Break of Structure SL: " + str.tostring(slLevel))
// Main SL line at candle high
line.new(bar_index, slLevel, bar_index + slExtension, slLevel, color=color.new(#ff3366, 0), width=2, style=line.style_dashed, extend=extend.none)
// SL zone box for visual emphasis
box.new(bar_index, slLevel + (slLevel * 0.002), bar_index + slExtension, slLevel - (slLevel * 0.002), border_color=color.new(#ff3366, 60), bgcolor=color.new(#ff3366, 85))
// S/R label
label.new(bar_index + slExtension, slLevel, "S/R", style=label.style_label_left, color=color.new(#ff3366, 0), textcolor=color.white, size=size.tiny)
// ============================================================================
// Dynamic background zones
// ============================================================================
bgcolor(showBG and emaTrend == 1 ? bgBullColor : showBG and emaTrend == -1 ? bgBearColor : na)
// ============================================================================
// Alerts
// ============================================================================
alertcondition(bullishBOS, "Bullish BOS", "Bullish Break of Structure detected!")
alertcondition(bearishBOS, "Bearish BOS", "Bearish Break of Structure detected!")
alertcondition(emaTrend == 1 and emaTrend != 1, "EMA Bullish", "EMA turned bullish")
alertcondition(emaTrend == -1 and emaTrend != -1, "EMA Bearish", "EMA turned bearish")
// โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// โ Download at โ
// โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// โโโโโโโโโโโโโโโ โโโโโโโโโโโ โโโ โโโโโโโโ
// โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโ
// โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โโโโโโ
// โโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โโโ โโโโโโ
// โโโโโโโโโโโโโโ โโโ โโโโโโ โโโโโโโโโโโโโโโโ
// โโโโโโโโโโโโโโ โโโโโโ โโโโโโโโโโโโโโโโ
// โโโโโโโโ โโโโโโโ โโโโโโโ โโโโโโโโโโโ โโโ
// โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// โโโโโโ โโโ โโโโโโโโโโโโโโโโโ โโโโโโ
// โโโโโโ โโโ โโโโโโโโโโโโโโโโโ โโโโโโ
// โโโ โโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโ
// โโโ โโโโโโโ โโโ โโโโโโโโโโโโโโ โโโ
// โโโโโโโโโ โโโโโโโ โโโโโโโ โโโ โโโโโโโโ
// โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โโโโโโโโ
// โโโ โโโ โโโโโโ โโโโโโ โโโโโโโโ
// โโโ โโโ โโโโโโ โโโโโโ โโโโโโโโ
// โโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// โโโ โโโโโโโ โโโโโโโ โโโโโโโโโโโโโโโโ
// ==========================================================================================
SMC + OB + FVG + Reversal + UT Bot + Hull Suite โ by Fatich.id๐ฏ 7 INTEGRATED SYSTEMS:
โ Mxwll Suite (SMC + Auto Fibs + CHoCH/BOS)
โ UT Bot (Trend Signals + Label Management)
โ Hull Suite (Momentum Analysis)
โ LuxAlgo FVG (Fair Value Gaps)
โ LuxAlgo Order Blocks (Volume Pivots) โญ NEW
โ Three Bar Reversal (Pattern Recognition)
โ Reversal Signals (Momentum Count Style)
โก KEY FEATURES:
โข Smart Money Structure (CHoCH/BOS/I-CHoCH/I-BoS)
โข Auto Fibonacci (10 customizable levels)
โข Order Block Detection (Auto mitigation)
โข Fair Value Gap Tracking
โข Session Highlights (NY/London/Asia)
โข Volume Activity Dashboard
โข Multi-Timeframe Support
โข Clean Label Management
๐จ PERFECT FOR:
โข Smart Money Concept Traders
โข Order Flow & Liquidity Analysis
โข Support/Resistance Trading
โข Trend Following & Reversals
โข Multi-Timeframe Analysis
๐ก RECOMMENDED SETTINGS:
Clean Charts: OB Count 3, UT Signals 3, FVG 5
Detailed Analysis: OB Count 5-10, All Signals
Scalping: Low sensitivity, Hull 20-30
Swing Trading: High sensitivity, Hull 55-100
VIX/VXV Ratio (TitsNany)This script plots the VXV/VIX ratio, which compares medium-term volatility (90-day fear) to short-term volatility (30-day fear). When the ratio rises above key levels like 1.16 or 1.24, it signals that traders expect future stress, often preceding market pullbacks. When the ratio falls toward or below 1.0, short-term fear is spiking, which typically occurs during active selloffs or volatility events. In short, elevated readings warn of potential market drops ahead, while sharp declines in the ratio reflect panic already hitting the market.
VWAP Multi-Timeframe Pro [Eหฃ]๐ฏ VWAP MULTI-TIMEFRAME PRO - The Institution's Favorite Indicator on Steroids
The Volume Weighted Average Price (VWAP) is the most widely used indicator by institutional traders, market makers, and professional desks worldwide. While most traders only monitor the Daily VWAP, professionals track multiple timeframes simultaneously to identify high-probability support/resistance zones. This indicator brings institutional-grade multi-timeframe VWAP analysis to your chart.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โก WHAT MAKES THIS SPECIAL
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โข 5 SIMULTANEOUS TIMEFRAMES: Daily, Weekly, Monthly, Quarterly, and Yearly VWAPs all visible at once
โข STANDARD DEVIATION BANDS: Statistical overbought/oversold zones (similar to Bollinger Bands for VWAP)
โข REAL-TIME POSITION ANALYSIS: Live table showing price position relative to each VWAP with percentage distance
โข SMART CROSS DETECTION: Automatic visual markers when price crosses key VWAP levels
โข OVERALL BIAS INDICATOR: Instant bullish/neutral/bearish reading based on VWAP alignment
โข FULLY CUSTOMIZABLE: Colors, widths, bands, labels - tailor everything to your style
โข COMPREHENSIVE ALERTS: Get notified for crosses, band touches, and key level interactions
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ UNDERSTANDING VWAP
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What is VWAP?
VWAP calculates the average price weighted by volume. Unlike simple moving averages, VWAP gives more weight to price levels where significant volume occurred. This makes it the "true average price" that institutions use to evaluate whether they're getting good fills.
Why Institutions Love VWAP:
- Algorithmic traders use VWAP as a benchmark for execution quality
- Market makers use VWAP to determine fair value
- Large funds use VWAP to minimize market impact when entering/exiting positions
- Banks and brokers measure trading performance against VWAP
The Multi-Timeframe Edge:
When multiple timeframe VWAPs align or converge, they create powerful support/resistance zones where institutions are likely to defend positions or enter new ones.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ HOW TO READ THE INDICATOR
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
VWAP LINES:
- BLUE = Daily VWAP (resets each day)
- PURPLE = Weekly VWAP (resets each week)
- ORANGE = Monthly VWAP (resets each month)
- RED = Quarterly VWAP (resets each quarter) - optional
- MAROON = Yearly VWAP (resets each year) - optional
PRICE POSITION:
- Price ABOVE VWAP = Bullish territory, buyers in control
- Price BELOW VWAP = Bearish territory, sellers in control
- Price AT VWAP = Equilibrium, decision point
STANDARD DEVIATION BANDS:
- Upper Band = Potential resistance, overbought zone
- Lower Band = Potential support, oversold zone
- 1st Band (solid dots) = 1 standard deviation (68% of price action)
- 2nd Band (crosses) = 2 standard deviations (95% of price action)
CROSS MARKERS:
- Triangles = Daily VWAP crosses
- Diamonds = Weekly VWAP crosses
- Squares = Monthly VWAP crosses
POSITION TABLE:
Shows real-time data for each active VWAP:
- Value = Current VWAP price level
- Position = Whether price is above (โฒ) or below (โผ) with percentage distance
- Bias = Overall market sentiment based on VWAP alignment
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ก TRADING STRATEGIES
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
STRATEGY 1: MEAN REVERSION (Best for ranging markets)
1. Wait for price to reach upper or lower standard deviation bands
2. Look for reversal signals (candlestick patterns, divergence, etc.)
3. Enter trade expecting price to return to VWAP
4. Target = Opposite band or VWAP itself
5. Stop = Beyond the band or previous swing high/low
Example: Price reaches lower daily band + bullish engulfing โ Buy, target daily VWAP
STRATEGY 2: TREND FOLLOWING (Best for trending markets)
1. Identify trend direction using higher timeframe VWAPs
2. Only take trades in direction of higher TF VWAPs
3. Enter on pullbacks to lower TF VWAP
4. Use VWAP as dynamic trailing stop
Example: Price above Weekly + Monthly VWAP (bullish) โ Wait for pullback to Daily VWAP โ Buy with stop below Daily VWAP
STRATEGY 3: CONFLUENCE ZONES (High probability setups)
1. Look for areas where multiple VWAPs converge (within 0.5-1%)
2. These create strong support/resistance zones
3. Trade bounces off confluence zones or breakouts through them
4. More VWAPs converging = stronger level
Example: Daily, Weekly, and Monthly VWAP all at $100 โ Very strong support/resistance
STRATEGY 4: VWAP CROSSES (Momentum shifts)
1. Watch for price crossing multiple VWAPs simultaneously
2. Cross above multiple VWAPs = Bullish momentum shift
3. Cross below multiple VWAPs = Bearish momentum shift
4. Confirm with volume spike for stronger signal
Example: Price crosses above Daily + Weekly VWAP on high volume โ Strong buy signal
STRATEGY 5: INSTITUTIONAL POSITIONING (For swing/position traders)
1. Focus on Weekly and Monthly VWAPs
2. These are where large institutions defend positions
3. Look for price action respect at these levels
4. Failed breaks often lead to explosive moves in opposite direction
Example: Price tests Monthly VWAP 3 times and bounces โ Strong buy zone
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โ๏ธ SETTINGS GUIDE
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TIMEFRAMES SECTION:
- Toggle each timeframe on/off based on your trading style
- Customize colors to match your chart theme
- Adjust line widths for better visibility (1-5)
BANDS SECTION:
- Show Standard Deviation Bands: Enable/disable bands
- Band Multiplier: Default 1.0 (1 std dev). Increase to 1.5 or 2.0 for wider bands in volatile markets
- Band Transparency: Adjust visibility (higher = more transparent)
- Show 2nd Band Level: Enable 2 standard deviation bands for extreme zones
- 2nd Band Multiplier: Default 2.0 (2 std dev)
DISPLAY SECTION:
- Show VWAP Labels: Display D/W/M/Q/Y labels on right side of chart
- Mark VWAP Crosses: Show visual markers when price crosses VWAPs
- Show Price Position Table: Display real-time position analysis table
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๐จ RECOMMENDED SETTINGS BY TRADING STYLE
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DAY TRADERS / SCALPERS:
- Enable: Daily + Weekly VWAP
- Band Multiplier: 1.0
- Chart Timeframe: 1min, 5min, 15min
- Focus: Quick mean reversion plays off Daily VWAP and bands
SWING TRADERS:
- Enable: Daily + Weekly + Monthly VWAP
- Band Multiplier: 1.0 - 1.5
- Chart Timeframe: 1H, 4H, Daily
- Focus: Trade in direction of Weekly/Monthly, enter at Daily VWAP
POSITION TRADERS / INVESTORS:
- Enable: Weekly + Monthly + Quarterly VWAP
- Band Multiplier: 1.5 - 2.0
- Chart Timeframe: Daily, Weekly
- Focus: Major support/resistance at Monthly/Quarterly levels
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๐ ALERT SETUP GUIDE
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This indicator includes 8 alert conditions:
VWAP CROSS ALERTS:
1. Price Crossed Above Daily VWAP - Potential bullish momentum
2. Price Crossed Below Daily VWAP - Potential bearish momentum
3. Price Crossed Above Weekly VWAP - Stronger bullish signal
4. Price Crossed Below Weekly VWAP - Stronger bearish signal
5. Price Crossed Above Monthly VWAP - Major trend shift signal
6. Price Crossed Below Monthly VWAP - Major trend shift signal
BAND ALERTS:
7. Price Reached Upper Band - Potential overbought, watch for reversal
8. Price Reached Lower Band - Potential oversold, watch for reversal
How to Set Alerts:
1. Click the "Alert" button (clock icon) at top of chart
2. Select "VWAP Multi-Timeframe Pro" from Condition dropdown
3. Choose your desired alert condition
4. Set alert name and notification preferences
5. Click "Create"
Pro Tip: Set multiple alerts for different conditions to catch all opportunities. For example, set alerts for both Daily and Weekly crosses to catch both short-term and intermediate-term setups.
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๐ ADVANCED TIPS & TRICKS
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1. THE VWAP MAGNET EFFECT
Price tends to gravitate back toward VWAP, especially during the first hour of trading. Use this for quick scalps: when price deviates significantly from Daily VWAP in the morning, it often returns by mid-session.
2. OPENING RANGE + VWAP
Combine VWAP with opening range high/low. When price breaks opening range while above VWAP = strong bullish setup. Breaking opening range while below VWAP = strong bearish setup.
3. VWAP RECLAIM/LOSS
- "Reclaiming VWAP" (price moves back above after being below) = bullish signal
- "Losing VWAP" (price moves back below after being above) = bearish signal
These often mark intraday trend changes.
4. MULTI-TIMEFRAME ALIGNMENT
When Daily, Weekly, AND Monthly VWAPs all point in same direction (all above or all below price), it indicates very strong trend. Trade WITH this alignment, not against it.
5. VWAP ANCHORING
Note where each VWAP resets:
- Daily = Midnight
- Weekly = Monday open
- Monthly = 1st of month
- Quarterly = Jan 1, Apr 1, Jul 1, Oct 1
- Yearly = January 1st
The first few days after a reset can show directional bias for the entire period.
6. VOLUME CONFIRMATION
VWAP crosses are more reliable when accompanied by above-average volume. A cross on low volume may be a false signal.
7. BAND WALK
In strong trends, price can "walk the bands" - staying near upper band in uptrends or lower band in downtrends. Don't blindly fade these; wait for actual reversal signals.
8. CONFLUENCE WITH OTHER INDICATORS
Combine VWAP with:
- Support/Resistance levels
- Fibonacci retracements
- Moving averages
- Volume profile levels
When VWAP aligns with other technical levels, the zone becomes even more significant.
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โ ๏ธ IMPORTANT NOTES & LIMITATIONS
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VWAP RESETS:
VWAP is a cumulative calculation that resets at the start of each new period. This is standard VWAP behavior, not a bug. When you see a VWAP "jump" at midnight (Daily) or Monday open (Weekly), this is normal.
EXTENDED HOURS:
If your chart includes extended hours data, VWAP will include that data. For stocks, you may want to use regular hours only for cleaner VWAP levels.
LOW VOLUME PERIODS:
During very low volume periods (pre-market, holidays), VWAP may be less reliable as it can be easily skewed by a few large trades.
CRYPTO MARKETS:
Since crypto trades 24/7, Daily VWAP resets at midnight UTC (or your chart's timezone). Weekly VWAP resets Monday 00:00 UTC.
NOT A STANDALONE SYSTEM:
While VWAP is powerful, it should be part of a complete trading system including risk management, proper position sizing, and confirmation from other technical factors.
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๐ MARKET-SPECIFIC USAGE
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STOCKS / EQUITIES:
VWAP is most powerful in liquid stocks. Focus on Daily and Weekly VWAP. Institutional traders heavily use VWAP for large orders. Best during regular market hours.
CRYPTO:
Works excellent in major pairs (BTC, ETH) due to 24/7 volume. Use Daily for intraday, Weekly for swing trades. Be aware of timezone for VWAP reset.
FOREX:
Less commonly used but still effective in major pairs during liquid sessions (London/NY overlap). Focus on Daily and Weekly timeframes.
FUTURES / INDICES:
Highly effective in ES, NQ, and other liquid futures. Institutions use VWAP extensively. All timeframes relevant depending on trading style.
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๐ LEARNING RESOURCES
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To deepen your understanding of VWAP:
- Study how market makers use VWAP for order execution
- Research "VWAP algorithms" used by institutional traders
- Practice identifying VWAP respect vs. rejection on historical charts
- Paper trade VWAP strategies before using real capital
- Observe how VWAP behaves in different market conditions (trending vs. ranging)
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โจ FINAL THOUGHTS
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VWAP Multi-Timeframe Pro brings institutional-grade analysis to retail traders. By monitoring multiple timeframes simultaneously, you can see the same levels that big money is watching and make more informed trading decisions.
Remember: VWAP is a tool, not a crystal ball. Use it as part of a comprehensive trading plan with proper risk management. The best traders use VWAP to understand WHERE institutions are positioned and HOW price is behaving relative to fair value.
This is a free, professional-grade indicator with no ads, no upsells, and no gimmicks. If you find it valuable, please give it a like and follow for more quality indicators and trading tools.
Happy trading, and may your VWAPs always be in your favor! ๐ฏ
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Disclaimer: This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
EMA 14/50 Crossover Strategy + Candle Source OptionsSimple fast and slow ema crossover strategy. you can select input sources for ema. also feel free to use it with other strategies
ICT Order Block Identifier [Eหฃ]๐ฆ Order Block Identifier - Free Indicator
Overview
The Order Block Identifier automatically detects and displays institutional order blocks on your charts - the exact zones where banks, hedge funds, and market makers place their orders. Based on ICT (Inner Circle Trader) concepts, this indicator helps you trade alongside smart money by identifying where institutions are likely to defend their positions and where price often finds support or resistance.
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๐ฏ What This Indicator Does
Detects Order Blocks:
โข ๐ข Bullish Order Blocks (OB+) - Last bearish candle before strong bullish move
โข ๐ด Bearish Order Blocks (OB-) - Last bullish candle before strong bearish move
โข Automatically identifies institutional buying/selling zones
โข Tracks up to 30 order blocks simultaneously
โข Works on all timeframes and instruments
Smart Features:
โข Auto-Timeframe Adjustment - Optimizes detection for 1min to Weekly charts
โข Active Block Highlighting - Shows which OB price is approaching (๐ฏ)
โข Mitigation Tracking - Knows when blocks are "used" and no longer valid
โข ATR-Based Detection - Adapts to each instrument's volatility
โข Strength Filtering - Choose Low/Medium/High to control sensitivity
Visual Display:
โข Clean boxes extending from order block to current price
โข Color-coded: Green (bullish), Red (bearish), Gray (mitigated)
โข OB+ / OB- labels for quick identification
โข Active blocks highlighted with ๐ฏ emoji
โข Distance indicator showing how far price is from nearest OB
Statistics Panel:
โข Count of active bullish and bearish order blocks
โข Market bias based on OB balance
โข Distance to nearest order block
โข Real-time status updates
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๐ Understanding Order Blocks
What Are Order Blocks?
Order blocks are the "footprints" left behind by institutional traders (banks, hedge funds, market makers) when they enter large positions. Because institutions can't fill massive orders at once without moving the market, they:
1. Place orders gradually over time
2. Leave zones where their buy/sell orders are concentrated
3. Defend these zones when price returns
4. Create reliable support and resistance levels
The ICT Concept:
Developed by Michael Huddleston (Inner Circle Trader), order block theory states that:
โข The last opposite-colored candle before a strong move contains institutional orders
โข Price often returns to test these zones before continuing
โข These zones act as strong support (bullish OB) or resistance (bearish OB)
โข Smart money defends their positions at these levels
Why Order Blocks Work:
โข Unfilled Orders: Institutions may still have pending orders in the block
โข Position Defense: They protect their entries by adding to positions
โข Stop Placement: Retail stops cluster near these zones (liquidity for institutions)
โข Market Structure: Price respects these levels due to order flow dynamics
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๐ข Bullish Order Blocks Explained
How They Form:
1. Price is consolidating or declining
2. Institutions begin accumulating (buying)
3. A strong bullish move erupts
4. The last bearish candle before this move = Bullish Order Block
5. This candle represents where institutions were buying aggressively
Why The Last Bearish Candle?
โข Institutions absorbed all selling pressure at this level
โข Their buy orders filled as price was declining
โข When price returns, they defend this zone with more buying
โข It becomes a demand zone / support level
Trading Bullish Order Blocks:
Setup:
โข Wait for price to retrace back to bullish OB (green box)
โข Look for rejection/reversal pattern (pin bar, engulfing, etc.)
โข Enter long when price bounces from the OB zone
โข Stop loss: Below the order block
โข Target: Recent high or opposite order block
Best Scenarios:
โข OB aligns with other support (trendline, fibonacci, round number)
โข First touch of OB (unmitigated) has highest probability
โข Occurs during high-volume sessions (London/NY)
โข Trend is bullish on higher timeframe
Example Trade:
โข Bullish OB forms at $50,000 (last red candle before rally)
โข Price rallies to $52,000 then retraces
โข Price drops back to $50,100 (touching OB)
โข Bullish pin bar forms on the OB
โข Enter long at $50,200, stop at $49,800
โข Target: $52,000+ (previous high)
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๐ด Bearish Order Blocks Explained
How They Form:
1. Price is consolidating or rising
2. Institutions begin distributing (selling)
3. A strong bearish move erupts
4. The last bullish candle before this move = Bearish Order Block
5. This candle represents where institutions were selling aggressively
Why The Last Bullish Candle?
โข Institutions absorbed all buying pressure at this level
โข Their sell orders filled as price was rising
โข When price returns, they defend this zone with more selling
โข It becomes a supply zone / resistance level
Trading Bearish Order Blocks:
Setup:
โข Wait for price to retrace back to bearish OB (red box)
โข Look for rejection/reversal pattern (shooting star, bearish engulfing)
โข Enter short when price rejects from the OB zone
โข Stop loss: Above the order block
โข Target: Recent low or opposite order block
Best Scenarios:
โข OB aligns with other resistance (trendline, fibonacci, round number)
โข First touch of OB (unmitigated) has highest probability
โข Occurs during high-volume sessions (London/NY)
โข Trend is bearish on higher timeframe
Example Trade:
โข Bearish OB forms at $48,000 (last green candle before drop)
โข Price drops to $46,000 then retraces
โข Price rallies back to $47,900 (touching OB)
โข Bearish engulfing forms at the OB
โข Enter short at $47,800, stop at $48,200
โข Target: $46,000- (previous low)
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๐ How To Use This Indicator
Strategy 1: Order Block Retest (Classic)
Best For: Swing trading, capturing reversals
Timeframes: 15min, 1H, 4H, Daily
Win Rate: 60-70% (first touch)
Entry Rules:
1. Identify unmitigated order block (bright color, not gray)
2. Wait for price to return to the OB zone
3. Look for price action confirmation:
โข Bullish OB: Pin bar, bullish engulfing, hammer
โข Bearish OB: Shooting star, bearish engulfing, doji
4. Enter in the direction of the OB
5. Stop loss: Beyond the opposite side of OB (20-30 pips)
6. Target: 2-3R or opposite OB
Example:
โข Bullish OB at $100-$102
โข Price drops to $101.50 (enters OB)
โข Bullish pin bar forms with low at $100.80
โข Enter long at $102 (OB high), stop at $99.50
โข Risk: $2.50, Target: $107.50 (3R)
Strategy 2: Break & Retest
Best For: Trend trading, breakout confirmation
Timeframes: 5min, 15min, 1H
Win Rate: 65-75%
Entry Rules:
1. Price breaks through an order block
2. Wait for pullback to the broken OB
3. The OB now acts as support (if broken up) or resistance (if broken down)
4. Enter when price respects the flipped OB
5. Stop: Inside the OB zone
6. Target: Next OB or structure level
Why It Works: Broken OBs flip polarity - support becomes resistance and vice versa
Strategy 3: Multi-Timeframe Confirmation
Best For: High-probability setups
Timeframes: Combine 1H + 4H or 15min + 1H
Win Rate: 70-80%
Entry Rules:
1. Identify order block on higher timeframe (4H or Daily)
2. Switch to lower timeframe (1H or 15min)
3. Wait for lower TF order block to form within higher TF OB
4. Trade the lower TF OB in direction of higher TF OB
5. Stop: Below lower TF OB
6. Target: Edge of higher TF OB or beyond
Why It Works: Alignment across timeframes = institutional consensus
Strategy 4: Order Block to Order Block
Best For: Range trading, swing entries
Timeframes: 1H, 4H
Win Rate: 55-65%
Entry Rules:
1. Identify both bullish OB below and bearish OB above
2. Price is ranging between these OBs
3. Enter long at bullish OB, target bearish OB
4. Enter short at bearish OB, target bullish OB
5. Stop: Beyond the trading OB
6. Exit at opposite OB
Why It Works: Price moves from one institutional zone to another
Strategy 5: Mitigation Fade
Best For: Aggressive scalping
Timeframes: 5min, 15min
Win Rate: 50-60% (higher risk)
Entry Rules:
1. Price approaches an order block
2. Instead of bouncing, price breaks through (mitigates it)
3. Enter immediately in direction of breakout
4. Stop: Back inside the mitigated OB
5. Quick target: 1-1.5R
Why It Works: When OB fails, it often leads to strong continuation
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โ๏ธ Settings Explained
Core Settings
Auto-Adjust for Timeframe (Default: ON)
โข Automatically optimizes detection for current chart timeframe
โข 1min: 3 bars lookback
โข 5min: 4 bars lookback
โข 15min: 5 bars lookback
โข 1H: 6 bars lookback
โข 4H: 8 bars lookback
โข Daily+: 10-12 bars lookback
โข Recommended: Keep ON for best results
Manual Detection Length (Default: 5)
โข Only used when Auto-Adjust is OFF
โข Number of bars to look back for the "last opposite candle"
โข Lower (2-4): More sensitive, more blocks, more noise
โข Higher (6-10): Less sensitive, fewer blocks, higher quality
โข Recommended: Use Auto-Adjust instead
Display Settings
Show Bullish/Bearish Order Blocks
โข Toggle each type on/off independently
โข Customize colors for each OB type
โข Tip: Match colors to your chart theme
Max Order Blocks to Display (Default: 10)
โข Limits how many OBs are shown at once
โข Lower (5-8): Cleaner chart, only recent blocks
โข Higher (15-30): More historical context
โข Recommended: 8-12 for most trading
Show Order Block Labels (Default: ON)
โข Displays "OB+" and "OB-" text on blocks
โข Shows ๐ฏ on active (nearest) block
โข Turn OFF for minimal chart appearance
โข Recommended: Keep ON for clarity
Extend Blocks (bars) (Default: 50)
โข How far to extend OB boxes to the right
โข Lower (20-30): Shorter boxes, less clutter
โข Higher (100+): Longer boxes, easier to see
โข Blocks auto-extend until mitigated or limit reached
โข Recommended: 40-60 bars
Filters
Block Strength Filter (Default: Medium)
โข Controls how strong a move must be to create an OB
โข Low: 0.5x ATR move required - Many blocks, more noise
โข Medium: 1x ATR move required - Balanced quality/quantity
โข High: 1.5x ATR move required - Only strongest institutional moves
โข Recommended for beginners: High
โข Recommended for experienced: Medium
โข Recommended for scalpers: Low
Min Block Size % (Default: 0.1)
โข Minimum size of OB as percentage of price
โข Filters out tiny, insignificant blocks
โข Crypto: 0.1-0.3%
โข Forex: 0.05-0.15%
โข Stocks: 0.1-0.5%
โข Adjust based on instrument volatility
Advanced Settings
Show Mitigated Blocks (Default: OFF)
โข When ON: Shows gray boxes for "used" order blocks
โข When OFF: Blocks disappear after mitigation
โข Use ON: For learning and analysis
โข Use OFF: For clean, active trading
Highlight Active Block (Default: ON)
โข Highlights the nearest order block to current price
โข Active block shown with ๐ฏ emoji and brighter color
โข Helps focus on most relevant trading opportunity
โข Recommended: Keep ON
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๐ฑ Info Panel Guide
Bullish OB Count
โข Number of active (unmitigated) bullish order blocks
โข Higher number = More support zones below price
โข Multiple bullish OBs = Strong demand structure
Bearish OB Count
โข Number of active (unmitigated) bearish order blocks
โข Higher number = More resistance zones above price
โข Multiple bearish OBs = Strong supply structure
Bias Indicator
โข โฌ Bullish: More bullish OBs than bearish (demand > supply)
โข โฌ Bearish: More bearish OBs than bullish (supply > demand)
โข โ Neutral: Equal OBs on both sides
โข Trade in direction of bias for higher probability
Near Indicator
โข Shows which OB price is closest to
โข Displays distance as percentage
โข Example: "Bull OB 0.85%" = Bullish OB is 0.85% below current price
โข Watch for "Near" alerts to time entries
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๐ฑ Alert Setup
This indicator includes 4 alert types:
1. Price Entering Bullish OB
โข Fires when price touches a bullish order block
โข Action: Watch for bounce/reversal pattern
โข High-probability long setup developing
2. Price Entering Bearish OB
โข Fires when price touches a bearish order block
โข Action: Watch for rejection/reversal pattern
โข High-probability short setup developing
3. New Bullish OB Detected
โข Fires when a new bullish order block forms
โข Action: Mark the zone for future retest
โข New demand zone identified
4. New Bearish OB Detected
โข Fires when a new bearish order block forms
โข Action: Mark the zone for future retest
โข New supply zone identified
To Set Up Alerts:
1. Click "Alert" button (clock icon)
2. Select "Order Block Identifier"
3. Choose your alert condition
4. Configure notification method
5. Click "Create"
Pro Tip: Set "Price Entering" alerts to catch trading opportunities in real-time
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๐ Pro Tips & Best Practices
โ
DO:
โข First touch is best - Unmitigated OBs have highest win rate (60-70%)
โข Wait for confirmation - Don't buy/sell just because price touched OB
โข Use multiple timeframes - Higher TF OBs are stronger than lower TF
โข Combine with structure - OB + trendline/support = high probability
โข Trade with the bias - More bullish OBs = favor longs
โข Respect mitigation - Once OB is mitigated, it's less reliable
โข Use proper stop loss - Always place stops beyond the OB zone
โข Consider session timing - OBs work best during London/NY sessions
โ ๏ธ DON'T:
โข Don't blindly buy/sell at OBs - Wait for confirmation
โข Don't ignore mitigation - Gray blocks are much weaker
โข Don't trade every OB - Quality over quantity
โข Don't fight strong trends - OBs can be run through in strong momentum
โข Don't use alone - Combine with price action, support/resistance
โข Don't expect 100% win rate - Even best OBs fail sometimes (30-40% of time)
โข Don't overtrade - Wait for A+ setups with confluence
๐ฏ Best Timeframes By Trading Style:
โข Scalpers: 1min, 5min (quick OB touches)
โข Day Traders: 5min, 15min, 1H (balanced view)
โข Swing Traders: 1H, 4H, Daily (major institutional zones)
โข Position Traders: 4H, Daily, Weekly (strongest OBs)
๐ฅ Best Instruments:
โข Excellent: Forex major pairs (EUR/USD, GBP/USD), BTC, ETH, ES, NQ
โข Good: Gold, Oil, Major indices, Large-cap stocks
โข Moderate: Altcoins, small-cap stocks (more noise)
โข Avoid: Very low liquidity instruments (OBs less reliable)
โฐ Best Times To Trade OBs:
โข London Session (03:00-12:00 EST): Highest OB respect rate
โข NY Session (08:00-17:00 EST): Strong OB reactions
โข London-NY Overlap (08:00-12:00 EST): Best probability
โข Asian Session: Lower probability, wait for London
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๐ Advanced Order Block Concepts
Order Block Flips (Polarity Change)
When price breaks through an OB and closes beyond it:
โข Bullish OB that's broken becomes bearish (support becomes resistance)
โข Bearish OB that's broken becomes bullish (resistance becomes support)
โข Trading: Watch for retest of broken OB from opposite side
Order Block Refinement
When multiple OBs form at similar level:
โข Later OB "refines" or "replaces" the earlier one
โข Use the most recent OB as the active zone
โข Older OBs become less relevant
Order Block Clusters
Multiple OBs stacked close together:
โข Creates a "super zone" of institutional interest
โข Higher probability of reversal
โข Wider zone for entries (more room for confirmation)
Fair Value Gaps + Order Blocks
When OB aligns with Fair Value Gap:
โข Extremely high probability setup
โข Price is drawn to fill the gap AND test the OB
โข Double confluence = institutional magnet
Order Block Mitigation Types
โข Full Mitigation: Price fully enters and closes inside OB
โข Partial Mitigation: Price wicks into OB but closes outside
โข False Mitigation: Quick touch then immediate rejection
โข Partial/false mitigation = OB still somewhat valid
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๐ Common Order Block Patterns
Pattern 1: The Perfect Retest
โข OB forms during strong move
โข Price continues 100-200+ pips
โข Price retraces back to OB
โข Clean bounce with confirmation candle
โข Highest probability pattern
Pattern 2: The Double Tap
โข Price tests OB, bounces weakly
โข Price tests same OB again
โข Second test produces stronger reaction
โข Second touch often better entry
Pattern 3: The Fake-Out
โข Price breaks through OB
โข Immediately reverses back
โข "Stop hunt" or liquidity grab
โข Enter after price reclaims OB
Pattern 4: The Ladder
โข Multiple OBs stacked like stairs
โข Price steps from one OB to next
โข Each OB provides support/resistance
โข Trade OB-to-OB movements
Pattern 5: The Failed OB
โข Price crashes through OB without pause
โข OB completely invalidated
โข Often signals strong momentum
โข Don't fight it, trade the breakout
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๐ What Makes This Different?
Unlike basic support/resistance indicators, Order Block Identifier:
โข ICT Methodology - Based on proven institutional concepts
โข Auto-Timeframe Optimization - Works perfectly on all timeframes
โข ATR-Based Detection - Adapts to each instrument's volatility
โข Mitigation Tracking - Knows when blocks are no longer valid
โข Active Block Highlighting - Shows most relevant opportunity
โข Smart Filtering - Only shows high-quality institutional zones
โข Visual Clarity - Clean, professional appearance
โข Real-Time Updates - Blocks update as price action develops
Based On Professional Concepts:
โข ICT Smart Money Concepts (SMC)
โข Institutional order flow analysis
โข Market maker behavior patterns
โข Supply and demand zone theory
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๐ Upgrade Your Trading Arsenal
This free indicator gives you institutional-level order block analysis. Want more?
๐ฅ Check out my premium scripts for:
โข Automated entries at order blocks with confirmation
โข Fair Value Gap detection combined with OBs
โข Multi-timeframe order block strategies
โข Breaker blocks and advanced ICT concepts
โข Complete smart money trading systems
โข And much more...
๐ Visit my profile to trade like institutions!
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๐ Important Notes
โข Order blocks are high-probability zones, not guarantees
โข Always use confirmation (price action patterns)
โข First touch of OB is most reliable (60-70% win rate)
โข Mitigated blocks are much weaker (30-40% win rate)
โข Works best during high-volume sessions
โข Combine with proper risk management (1-2% risk per trade)
โข Not all OBs are created equal - look for confluence
โข Practice on demo before trading live
โข Past performance doesn't guarantee future results
Learning Curve:
โข Week 1-2: Learn to identify OBs and wait for retests
โข Week 3-4: Practice entry confirmation and risk management
โข Month 2-3: Combine with other analysis (MTF, structure, FVGs)
โข Month 3+: Develop personal OB trading system
Disclaimer: For educational purposes only. Order block trading requires practice and proper risk management. Always do your own research.
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๐ Support This Work
If this indicator helps you trade with institutions:
โข โญ Give it a thumbs up
โข ๐ฌ Share your best order block trades in comments
โข ๐ Follow for more free ICT/SMC tools
โข ๐ Share with traders learning smart money concepts
Questions about order blocks? Drop a comment and I'll explain!
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Developed with โค๏ธ for traders who want to see what institutions see
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Version History
โข v1.0 - Initial release with auto-timeframe detection and ATR-based strength filtering
Session Highlighter Pro [Eหฃ]๐ Session Highlighter Pro - Free Indicator
Overview
Session Highlighter Pro brings institutional-level session analysis to your charts. This indicator automatically highlights the Asian, London, and New York trading sessions, marks high-volatility "Kill Zones", identifies profitable session overlaps, and tracks key session levels - all essential for timing your trades and understanding when the smart money is active.
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๐ฏ What This Indicator Does
Highlights Trading Sessions:
โข ๐ก Asian Session (19:00-04:00 EST) - Lower volatility, range-bound
โข ๐ต London Session (03:00-12:00 EST) - High volatility, trend moves
โข ๐ข New York Session (08:00-17:00 EST) - Highest volume, major moves
โข All times automatically adjust for EST/EDT (daylight saving)
Marks Kill Zones:
โข ๐ฅ London Kill Zone (02:00-05:00 EST) - London market makers most active
โข ๐ฅ NY Kill Zone (08:30-11:00 EST) - NY institutional activity peaks
โข Highest probability setups occur during these windows
โข Peak liquidity and volatility periods
Identifies Session Overlaps:
โข โก London-NY Overlap (08:00-12:00 EST) - Maximum volume period
โข ๐ Asian-London Overlap (03:00-04:00 EST) - Early volatility spike
โข Most explosive moves happen during overlaps
โข Best time for breakout and momentum trading
Tracks Session Levels:
โข Session High/Low lines (support and resistance)
โข Session Open lines (key reference levels)
โข Real-time range calculations
โข Customizable line styles and colors
Smart Features:
โข Statistics panel showing current session and ranges
โข Fully customizable colors and display options
โข Works on all timeframes (best on 5min to 1H)
โข Built-in alerts for session starts and kill zones
โข Clean, professional visualization
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๐ Understanding Trading Sessions
Why Sessions Matter
Different trading sessions have dramatically different characteristics:
โข Volume: Sessions determine who's in the market (retail vs institutional)
โข Volatility: Major sessions bring major moves
โข Liquidity: Better fills and tighter spreads during active sessions
โข Trends: Real trends start during London/NY, not Asian
โข Reversals: Often happen at session opens/closes
Professional traders time their entries based on sessions - now you can too.
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๐ก Asian Session (19:00-04:00 EST)
Characteristics:
โข Lowest volume of the three major sessions
โข Range-bound, choppy price action
โข Less institutional activity
โข Tokyo, Hong Kong, Singapore markets open
โข Good for range trading, poor for breakouts
Best For:
โข Range trading strategies
โข Scalping in established ranges
โข Identifying support/resistance for London open
โข Pairs: AUD/JPY, NZD/JPY, AUD/USD
Trading Tips:
โข Avoid breakout trades - often false breakouts
โข Trade between session high/low
โข Watch for range compression before London
โข Expect reversal at support/resistance
What To Avoid:
โข Chasing breakouts (usually fail)
โข Large position sizes (low liquidity)
โข News trading (limited market participation)
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๐ต London Session (03:00-12:00 EST)
Characteristics:
โข High volatility and volume
โข Strongest trends develop here
โข Major institutional activity
โข European markets + early London traders
โข Real breakouts happen during this session
Best For:
โข Trend trading strategies
โข Breakout trading (especially at open)
โข Major currency pairs (EUR/USD, GBP/USD, EUR/GBP)
โข Gold and oil trading
Trading Tips:
โข Watch for breakout of Asian range at London open
โข First hour (03:00-04:00 EST) often sets daily tone
โข London Kill Zone (02:00-05:00) has highest win rate
โข Session high/low often hold as support/resistance
Key Moments:
โข 03:00 EST: London open - major volatility spike
โข 02:00-05:00 EST: London Kill Zone - institutional orders
โข 08:00 EST: London-NY overlap begins - explosive moves
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๐ข New York Session (08:00-17:00 EST)
Characteristics:
โข Highest volume globally (when overlapping with London)
โข US market open brings major moves
โข Economic news releases (08:30 EST typically)
โข Strong directional moves
โข US institutional money flows
Best For:
โข Trend continuation trades
โข News trading (NFP, CPI, FOMC, etc.)
โข US indices (ES, NQ, YM)
โข Major pairs involving USD
Trading Tips:
โข 08:30 EST = Most economic releases (high volatility)
โข NY Kill Zone (08:30-11:00) = Highest probability window
โข First 2 hours most volatile (08:00-10:00)
โข After 12:00 (London close) volume drops significantly
Key Moments:
โข 08:00 EST: NY open + London overlap begins
โข 08:30 EST: Economic data releases
โข 08:30-11:00 EST: NY Kill Zone - institutional activity
โข 12:00 EST: London close - volume drops
โข 16:00 EST: Stock market close - volatility spike
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๐ฅ Kill Zones Explained
What Are Kill Zones?
Kill Zones are specific time windows within sessions where institutional traders (banks, hedge funds, market makers) are most active. These periods consistently show:
โข Highest win-rate setups
โข Largest moves relative to risk
โข Best liquidity for entries/exits
โข Most reliable technical patterns
Popularized by ICT (Inner Circle Trader), these zones represent when smart money acts.
London Kill Zone (02:00-05:00 EST)
Why It Works:
โข London banks and institutions place orders
โข Pre-London positioning before official open
โข Often runs stops before reversing
โข Sets up the trend for London session
How To Trade:
1. Watch for sweep of Asian highs/lows
2. Look for reversal back into range
3. Enter in direction of reversal
4. Target: Opposite side of range or session high/low
Best Pairs: EUR/USD, GBP/USD, EUR/GBP, Gold
NY Kill Zone (08:30-11:00 EST)
Why It Works:
โข Overlaps with London session (maximum volume)
โข Economic data releases at 08:30
โข US institutions enter positions
โข Highest liquidity period globally
How To Trade:
1. Wait for news spike at 08:30 (if applicable)
2. Identify sweep and reversal patterns
3. Enter with momentum after confirmation
4. Target: Session high/low or previous day levels
Best Instruments: Indices (ES, NQ), USD pairs, Gold
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โก Session Overlaps
London-NY Overlap (08:00-12:00 EST)
The Golden Window:
โข Highest trading volume of entire 24-hour cycle
โข Both European and US traders active
โข Maximum liquidity = tightest spreads
โข Biggest moves of the day often occur here
โข Best time for all trading styles
Trading Strategies:
โข Breakout trading (high follow-through probability)
โข Momentum trading (strong trends develop)
โข News trading (major releases during this time)
โข Scalping (high volatility + tight spreads)
What To Watch:
โข Direction established in first hour often continues
โข 08:30 economic data can reverse or accelerate trends
โข After London close (12:00), expect consolidation
Asian-London Overlap (03:00-04:00 EST)
The Early Bird Window:
โข Short overlap period
โข Early volatility as Asian session ends
โข London traders positioning before official open
โข Often see reversal of Asian range
Trading Strategies:
โข Fade Asian extremes (sell highs, buy lows)
โข Play breakout of Asian range
โข Quick scalps during volatility spike
โข Position for London session trend
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๐ How To Use This Indicator
Strategy 1: Session Breakout Trading
Best For: Trend trading, catching major moves
Timeframes: 5min, 15min, 1H
Setup:
1. Note Asian session high/low (yellow lines)
2. Wait for London open (03:00 EST)
3. If price breaks Asian high/low with strong candle, enter breakout
4. Stop loss: Opposite side of Asian range
5. Target: 1.5-2x Asian range or session high/low
Why It Works: London volume breaks Asian consolidation
Strategy 2: Kill Zone Reversals
Best For: High win-rate setups
Timeframes: 5min, 15min
Setup:
1. Wait for Kill Zone to begin (red background)
2. Watch for stop hunt (sweep of recent high/low)
3. Look for rejection/reversal pattern
4. Enter when price reverses back into range
5. Stop: Beyond the swept level
6. Target: Opposite kill zone extreme
Why It Works: Institutions sweep stops then reverse
Strategy 3: Overlap Momentum
Best For: Riding strong trends
Timeframes: 15min, 1H
Setup:
1. Wait for London-NY overlap (08:00 EST, orange background)
2. Identify trend direction in first 30 minutes
3. Enter pullbacks in trend direction
4. Stop: Below recent swing low/high
5. Target: Session high/low or previous day levels
6. Hold until overlap ends (12:00 EST)
Why It Works: Maximum volume drives sustained moves
Strategy 4: Asian Range Trading
Best For: Low-risk scalping
Timeframes: 5min, 15min
Setup:
1. During Asian session (yellow background)
2. Let range establish (first 2-3 hours)
3. Buy at session low, sell at session high
4. Tight stops outside range
5. Exit before London open (03:00 EST)
Why It Works: Asian session typically ranges
Strategy 5: Session Level Trading
Best For: Support/resistance trading
Timeframes: All
Setup:
1. Previous session highs/lows become S/R levels
2. Watch for price reaction at these levels
3. Enter bounces (support) or rejections (resistance)
4. Use session open lines as confirmation
5. Stop: Slightly beyond session level
Why It Works: Traders watch session levels globally
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โ๏ธ Settings Explained
Sessions
Show Asian/London/NY Session
โข Toggle each session on/off
โข Customize background colors for each
โข Adjust transparency to your preference
โข Tip: Disable sessions you don't trade
Highlight Session Overlaps
โข Shows when sessions overlap (different color)
โข Critical for identifying high-volume periods
โข Recommended: Keep ON
Overlap Color
โข Customize the overlap background color
โข Default: Orange (stands out from session colors)
Levels
Show Session High/Low Lines
โข Displays horizontal lines at session extremes
โข Acts as intraday support/resistance
โข Choose line style: Solid, Dashed, or Dotted
โข Recommended: Keep ON for level trading
Show Session Open Lines
โข Displays line at session opening price
โข Key reference level for traders
โข Choose line style (default: Dashed)
โข Useful for mean reversion strategies
Kill Zones
Show Kill Zones
โข Master toggle for kill zone highlighting
โข Turn OFF if you don't use kill zone strategies
London Kill Zone (02:00-05:00 EST)
โข Toggle London KZ on/off
โข Most important for forex traders
NY Kill Zone (08:30-11:00 EST)
โข Toggle NY KZ on/off
โข Most important for indices/stock traders
KZ Color
โข Customize kill zone background color
โข Default: Red (indicates high importance)
Display
Show Session Statistics
โข Toggle the info panel (top-left)
โข Displays current session and ranges
โข Keep ON for session awareness
Show Session Labels
โข Toggle session name labels on chart
โข Shows session name + current range %
โข Turn OFF for cleaner appearance
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๐ฑ Statistics Panel Guide
Current Session
โข Shows which session is currently active
โข Color-coded for quick identification
โข Displays "KILL ZONE ๐ฅ" when applicable
โข Shows "OVERLAP" during London-NY overlap
Session Table
Session Column:
โข Lists all three major sessions
โข Color-coded icons for quick reference
Time Column:
โข Shows session hours in EST
โข All times automatically adjust for daylight saving
Range Column:
โข Current session range as percentage
โข Updates in real-time during active session
โข Shows "-" when session hasn't started
โข Higher range = More volatility
Using The Stats:
โข Compare daily ranges to historical average
โข Larger ranges = More opportunity
โข Small ranges in Kill Zones = Potential breakout coming
โข Track which sessions are most profitable for your style
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๐ฑ Alert Setup
This indicator includes 6 alert types:
1. Asian Session Open
โข Fires when Asian session starts (19:00 EST)
โข Useful for range traders
2. London Session Open
โข Fires when London session starts (03:00 EST)
โข Critical alert for breakout traders
3. NY Session Open
โข Fires when NY session starts (08:00 EST)
โข Important for US market traders
4. London Kill Zone Start
โข Fires at 02:00 EST
โข High-probability trading window begins
5. NY Kill Zone Start
โข Fires at 08:30 EST
โข Prime time for indices and USD pairs
6. London-NY Overlap Start
โข Fires at 08:00 EST
โข Maximum volume period begins
To Set Up Alerts:
1. Click "Alert" button (clock icon)
2. Select "Session Highlighter Pro"
3. Choose your alert type
4. Configure notification method
5. Click "Create"
Pro Tip: Set alerts for kill zones and overlaps - these are your highest probability trading windows
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๐ Pro Tips & Best Practices
โ
DO:
โข Trade during your session - Match your schedule to high-volume sessions
โข Focus on Kill Zones - Highest win-rate setups occur here
โข Use session levels as S/R - Previous session highs/lows are watched globally
โข Wait for overlaps - Best moves happen during London-NY overlap
โข Fade Asian extremes - Asian highs/lows often reversed by London
โข Watch the first hour - Sets tone for the entire session
โข Track session ranges - Know if volatility is high or low
โข Respect session transitions - Major reversals happen at opens/closes
โ ๏ธ DON'T:
โข Don't fight the session - Don't expect trends during Asian session
โข Don't ignore overlaps - Missing London-NY overlap = Missing best moves
โข Don't trade all sessions - Focus on one or two that fit your schedule
โข Don't chase late session - After London close (12:00 EST), volume drops
โข Don't ignore time - Same setup has different probability in different sessions
โข Don't trade low-volume gaps - Between NY close and Asian open, stay flat
๐ฏ Session Selection By Trading Style:
โข Scalpers: London-NY overlap (08:00-12:00 EST)
โข Day Traders: London + NY sessions (03:00-17:00 EST)
โข Swing Traders: Focus on London/NY opens for entries
โข Range Traders: Asian session (19:00-04:00 EST)
โข Breakout Traders: London open + Kill Zones
โข News Traders: NY Kill Zone (08:30-11:00 EST)
๐ฅ Best Instruments By Session:
โข Asian: AUD/JPY, NZD/JPY, AUD/USD, Nikkei
โข London: EUR/USD, GBP/USD, EUR/GBP, Gold, FTSE, DAX
โข New York: All USD pairs, ES, NQ, YM, Gold, Oil
โข Overlap: Everything (maximum liquidity)
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๐ What Makes This Different?
Unlike basic session indicators, Session Highlighter Pro includes:
โข Kill Zones - ICT-style high-probability windows marked
โข Session Overlaps - Automatically identifies peak volume periods
โข Real-Time Statistics - Track session ranges and volatility
โข Dynamic Levels - Session highs/lows update in real-time
โข Full Customization - Colors, styles, toggle everything
โข Clean Display - Professional look, not cluttered
โข Smart Alerts - Never miss a session or kill zone
โข EST Timezone - Standard format all pro traders use
Based On Professional Concepts:
โข ICT Kill Zone methodology
โข Institutional order flow timing
โข Global market structure understanding
โข Session-based trading psychology
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๐ Common Session Patterns
Pattern 1: Asian Range, London Breakout
โข Asian session creates tight range
โข London open breaks range with volume
โข Trade breakout in direction of London move
Pattern 2: London Reversal At NY Open
โข London trends one direction all session
โข NY open (08:00) reverses the London trend
โข Often happens at London highs/lows
Pattern 3: Kill Zone Sweep & Reverse
โข Kill zone begins
โข Price sweeps recent high/low (stop hunt)
โข Immediately reverses in opposite direction
โข Most reliable pattern in trading
Pattern 4: Overlap Continuation
โข London establishes trend direction
โข NY open (08:00) confirms and accelerates
โข Trend continues through entire overlap
Pattern 5: Late Session Consolidation
โข After London close (12:00 EST)
โข Volume drops, price ranges
โข Wait for next session instead of trading
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Upgrade Your Trading Toolkit
This free indicator gives you professional session analysis. Want more?
๐ฅ Check out my premium scripts for:
โข Automated entry signals timed to sessions
โข Advanced multi-timeframe session analysis
โข Kill zone-specific trading strategies
โข Backtested session-based systems
โข Complete trading solutions
โข And much more...
๐ Visit my profile for institutional-grade tools!
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Important Notes
โข All times displayed in EST (Eastern Standard Time)
โข Automatically adjusts for daylight saving time
โข Works on all timeframes (best on 5min-1H)
โข Designed for Forex, Indices, and Commodities
โข Session times are approximate - liquidity varies
โข Use with proper risk management
โข Not all session patterns play out perfectly
โข Market conditions vary - adapt accordingly
Timezone Note: This indicator uses EST/EDT. If you're in a different timezone, calculate the offset. For example, London traders should add 5 hours to all times displayed.
Disclaimer: For educational purposes. Trading involves risk. Session-based trading requires practice and proper risk management.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Support This Work
If this indicator helps you time your trades better:
โข โญ Give it a thumbs up
โข ๐ฌ Share your best session-based trades in comments
โข ๐ Follow for more free professional tools
โข ๐ Share with traders who need better timing
Questions about trading sessions? Drop a comment and I'll help!
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Developed with โค๏ธ for traders who understand that WHEN you trade matters as much as WHAT you trade
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Version History
โข v1.0 - Initial release with sessions, kill zones, overlaps, and real-time statistics
VectorCoresAI SMA + Bollinger Fusion v1VectorCoresAI โ SMA + Bollinger Fusion (Free)
A clean, modern visual tool combining four key SMAs with an adaptive Bollinger structure.
This script merges two of the most widely used charting concepts into one simple, readable view:
Included
โ SMA 21
โ SMA 50
โ SMA 100
โ SMA 200
โ Bollinger Bands with adjustable length + multiplier
โ Adaptive โFusion Squeezeโ shading to highlight compression phases
โ Optional visibility toggles for each SMA
โ Lightweight, non-intrusive overlay
What this indicator is designed for
This tool helps traders quickly understand:
Trend alignment using the 21/50/100/200 SMAs
Volatility conditions around the Bollinger midline
Price compression and expansion
Early awareness of breakout environments
Clean visual structure without clutter
Everything is intentionally simple and transparent.
No predictions, no signals, no trading advice โ just clean chart structure.
Why this version is unique
Instead of using standard Bollinger visuals, this Fusion edition uses subtle adaptive shading to show when the bands contract.
This makes compression zones instantly visible without overwhelming the chart.
The SMAs are fixed to widely-used trend levels, giving consistent readings across all markets and timeframes.
Who this is for
Newer traders who want a clear introduction to SMAs + Bollinger Bands
Experienced traders who want a lightweight visual tool
Anyone building structure-based strategies
Users of the VectorCoresAI suite who want a simple companion tool
Notes
This indicator is part of the VectorCoresAI Free Tools collection.
All logic is open-source and educational only.
More tools coming soon.
Status + BollingersThis combined indicator provides a concise view of the market's current state, volatility, and momentum using key technical metrics displayed on a central dashboard and overlaid on the price chart.
The Bollinger Bands consist of a 20-period Simple Moving Average (SMA) as the middle line, bounded by an upper and lower band (typically $2.0$ Standard Deviations).
Function: Measures volatility.
CRSI (RSI) Red ($>70$), Lime ($<30$) - Indicates Overbought (Red) or Oversold (Lime) pressure, signaling possible reversals.
ADX Orange ($>30$), Gray ($<20$) - Measures Trend Strength, regardless of direction. Orange means strong trend (ideal for trend following); Gray means weak/ranging market.
Volume Status "Bang" (Red) Safe (Green) - Compares current volume to the average. "Patladฤฑ" indicates a significant volume spike (momentum confirmation), suggesting institutional activity or a decisive move.
Multi-Timeframe Fair Value Gap by Vigna๐ Multi-Timeframe Fair Value Gap (FVG) Indicator
This indicator displays Fair Value Gaps (FVGs) from multiple timeframes simultaneously on your chart. FVGs are price gaps that occur when the market moves quickly and skips certain price levels. These gaps tend to be "filled" later and often serve as important support and resistance zones.
๐ฏ What are Fair Value Gaps?
A Fair Value Gap occurs when:
Bullish FVG: The current low is higher than the high from 2 candles ago (gap upward)
Bearish FVG: The current high is lower than the low from 2 candles ago (gap downward)
โฑ๏ธ Supported Timeframes:
1 Hour (1H)
2 Hours (2H)
3 Hours (3H)
4 Hours (4H)
1 Day (1D)
1 Week (1W)
๐จ Features:
โ
All timeframes visible simultaneously
โ
Each timeframe has its own color (bullish & bearish)
โ
Labels show the timeframe of each gap
โ
Automatic deletion when gap is filled
โ
Optional: MidPoint Fill (gap marked as filled at 50%)
โ
Extend right: Gaps extend to the right until filled
โ
All colors fully customizable
โ๏ธ Settings:
Timeframes: Enable/disable individual timeframes as needed
MidPoint Fill: Mark gap as filled when 50% is reached
Delete On Fill: Automatically remove filled gaps from chart
Label Timeframes: Show labels with timeframe names
Colors: Customize all colors to your preferences
๐ก Application:
FVGs often serve as magnetic attraction points for price
Higher timeframe FVGs (4H, 1D, 1W) are typically more significant
Use FVGs as potential entry/exit zones
Combine with other indicators for better confirmation
๐ Recommended Use:
Works best on timeframes from 15min to 1H
Ideal for Forex, Crypto, and Stocks
Especially useful for Swing Trading and Day Trading
๐ง Technical Details:
Uses optimized request.security() calls (12 total, under the 40 limit)
Employs tuple syntax for efficient data fetching
Real-time gap detection and filling mechanism
Memory-efficient array management with var keyword
KC/BB Squeeze Scanner (10/20>50 EMA, $10โ$500, Vol > 1M)High volume, up trending, and compression occurring.
Volatility Aurora [The_lurker]โโโโโโโโโโโโโโโโโโโโ VOLATILITY AURORA โโโโโโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโ Where Market Energy Meets Visual Poetry โโโโโโโโโโโโโโโโโ
๐ INTRODUCTION
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The Aurora Borealis occurs when charged particles from the sun collide with gases in Earth's atmosphere, creating mesmerizing waves of colorful light.
๐ฉ๐ผ๐น๐ฎ๐๐ถ๐น๐ถ๐๐ ๐๐๐ฟ๐ผ๐ฟ๐ฎ applies this elegant concept to financial markets:
โก Price Momentum = Charged Particles
๐ ATR Layers = Atmospheric Layers
๐จ Color Intensity = Energy Magnitude
๐ Layer Expansion = Volatility State
When momentum "collides" with volatility layers, the Aurora illuminates potential market regime changes โ often before they fully manifest in price action.
๐ฌ THE SCIENCE BEHIND IT
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Unlike traditional volatility indicators that provide a single value, Volatility Aurora creates a ๐บ๐๐น๐๐ถ-๐ฑ๐ถ๐บ๐ฒ๐ป๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ผ๐น๐ฎ๐๐ถ๐น๐ถ๐๐ ๐ณ๐ถ๐ฒ๐น๐ฑ using five distinct ATR layers based on Fibonacci periods:
โ Layer โ Period โ Atmospheric โ Function โ
โโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโค
โ Layer 1 โ 5 โ Ionosphere โ Captures immediate vol shifts
โ Layer 2 โ 13 โ Mesosphere โ Medium-term vol response
โ Layer 3 โ 34 โ Stratosphere โ Intermediate vol structure
โ Layer 4 โ 55 โ Troposphere โ Foundational vol baseline
โ Layer 5 โ 89 โ Surface โ Structural, long-term vol
โก CORE CONCEPTS
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ญ. ๐๐ฎ๐๐ฒ๐ฟ ๐๐
๐ฝ๐ฎ๐ป๐๐ถ๐ผ๐ป & ๐๐ผ๐ป๐๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป
Each layer dynamically expands or contracts based on its normalized ATR value:
โข ๐๐
๐ฝ๐ฎ๐ป๐ฑ๐ถ๐ป๐ด ๐๐ฎ๐๐ฒ๐ฟ๐ โ Increasing volatility regime
โข ๐๐ผ๐ป๐๐ฟ๐ฎ๐ฐ๐๐ถ๐ป๐ด ๐๐ฎ๐๐ฒ๐ฟ๐ โ Decreasing volatility / Consolidation
โข ๐๐ฟ๐ฒ๐ฎ๐๐ต๐ถ๐ป๐ด ๐๐ณ๐ณ๐ฒ๐ฐ๐ โ Natural market rhythm visualization
๐ฎ. ๐๐ฎ๐ฟ๐บ๐ผ๐ป๐ ๐ฆ๐ฐ๐ผ๐ฟ๐ฒ
Measures alignment between all five layers:
โข ๐๐ถ๐ด๐ต ๐๐ฎ๐ฟ๐บ๐ผ๐ป๐ (>70%) โ All timeframes agree โ Strong, reliable trends
โข ๐๐ผ๐ ๐๐ฎ๐ฟ๐บ๐ผ๐ป๐ (<30%) โ Timeframe divergence โ Choppy conditions
๐ฏ. ๐๐ป๐ฒ๐ฟ๐ด๐ ๐๐ป๐๐ฒ๐ป๐๐ถ๐๐
Quantifies how strongly momentum is "hitting" the volatility layers:
โข ๐๐ถ๐ด๐ต ๐๐ป๐๐ฒ๐ป๐๐ถ๐๐ โ Strong directional conviction
โข ๐๐ผ๐ ๐๐ป๐๐ฒ๐ป๐๐ถ๐๐ โ Weak momentum, potential reversal
๐ฐ. ๐ฅ๐ฒ๐ด๐ถ๐บ๐ฒ ๐๐น๐ฎ๐๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป
Based on aggregate layer states:
๐ข ๐๐๐๐ โ Low volatility across all layers
๐ก ๐ก๐ข๐ฅ๐ ๐๐ โ Balanced market conditions
๐ ๐ฉ๐ข๐๐๐ง๐๐๐ โ Elevated activity
๐ด ๐๐ซ๐ง๐ฅ๐๐ ๐ โ Maximum volatility state
๐จ VISUAL COMPONENTS
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ๐๐๐ฟ๐ผ๐ฟ๐ฎ ๐๐ฎ๐๐ฒ๐ฟ๐ (๐๐ฟ๐ฎ๐ฑ๐ถ๐ฒ๐ป๐ ๐๐ฎ๐ป๐ฑ๐)
โข Five pairs of symmetrical bands around the price core
โข Color gradient from core (bright) to outer (dim)
โข Expansion reflects current volatility state
๐ ๐๐ผ๐ฟ๐ฒ ๐๐ถ๐ป๐ฒ
โข Central EMA-based trend line
โข Color changes with momentum direction:
๐ข Cyan/Teal = Bullish
๐ด Pink/Magenta = Bearish
๐ฃ Purple = Neutral
๐ซ ๐๐ป๐ฒ๐ฟ๐ด๐ ๐ฃ๐๐น๐๐ฒ ๐๐ถ๐ป๐ฒ๐
โข Diagonal flow lines showing momentum trajectory
โข Thicker lines = Higher energy
โข Direction indicates momentum flow
๐ต ๐๐ฎ๐ฟ๐บ๐ผ๐ป๐ ๐ช๐ฎ๐๐ฒ๐
โข Vertical dotted lines appear when harmony exceeds 70%
โข Signals timeframe alignment โ high-probability zones
๐ HOW TO USE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ๐ง๐ฟ๐ฒ๐ป๐ฑ ๐๐ผ๐น๐น๐ผ๐๐ถ๐ป๐ด
โข Enter when Aurora expands in your direction
โข Core line color confirms bias
โข High harmony = Higher confidence
๐ฅ ๐ฉ๐ผ๐น๐ฎ๐๐ถ๐น๐ถ๐๐ ๐๐ฟ๐ฒ๐ฎ๐ธ๐ผ๐๐๐
โข Watch for regime shift from CALM to VOLATILE
โข Expanding layers signal incoming movement
โข Intensity spike confirms breakout strength
โฉ๏ธ ๐ ๐ฒ๐ฎ๐ป ๐ฅ๐ฒ๐๐ฒ๐ฟ๐๐ถ๐ผ๐ป
โข EXTREME regime often precedes reversals
โข Contracting layers after expansion = Potential pullback
โข Low harmony during trends = Weakening momentum
๐ก๏ธ ๐ฅ๐ถ๐๐ธ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐
โข Use outer layers as dynamic support/resistance
โข Wider Aurora = Wider stops required
โข Contracting Aurora = Tighter risk parameters
โ๏ธ SETTINGS GUIDE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ๐๐๐ฟ๐ผ๐ฟ๐ฎ ๐๐ผ๐ฟ๐ฒ
โ Setting โDefault โ Description
โ Layer 1-5 โ Fib โ ATR periods (5,13,34,55,89)
โ Expansion Factor โ 2.5 โ Controls layer width multiplier
โ Smoothing โ 5 โ EMA smoothing for visual clarity
โก ๐๐ป๐ฒ๐ฟ๐ด๐ ๐๐ถ๐ฒ๐น๐ฑ
โ Setting โ Default โ Description
โ Momentum Length โ 14 โ Period for momentum calculation
โ Energy Lookback โ 21 โ Normalization window
โ Energy Multiplier โ 1.5 โ Amplifies energy display
๐จ ๐ฉ๐ถ๐๐๐ฎ๐น
โ Setting โ Default โ Description
โ Language โ EN โ Interface language (EN/AR)
โ Show Aurora โ โ โ Toggle layer visibility
โ Show Core Line โ โ โ Toggle center line
โ Show Energy Pulse โ โ โ Toggle flow lines
โ Show Harmony Waves โ โ โ Toggle alignment indicators
๐ ALERTS
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โก ๐ฅ๐ฒ๐ด๐ถ๐บ๐ฒ ๐ฆ๐ต๐ถ๐ณ๐ โ Volatility regime changed
๐ต ๐๐ถ๐ด๐ต ๐๐ฎ๐ฟ๐บ๐ผ๐ป๐ โ All layers aligned (>85%)
โ๏ธ ๐๐ถ๐ฟ๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐๐ต๐ฎ๐ป๐ด๐ฒ โ Momentum direction reversed
๐ฅ ๐๐ป๐๐ฒ๐ป๐๐ถ๐๐ ๐ฆ๐ฝ๐ถ๐ธ๐ฒ โ Energy exceeded 80% threshold
๐ก TIPS FOR BEST RESULTS
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
1๏ธโฃ ๐๐ถ๐ด๐ต๐ฒ๐ฟ ๐ง๐ถ๐บ๐ฒ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐ โ Aurora works best on 1H+ charts
2๏ธโฃ ๐๐ผ๐บ๐ฏ๐ถ๐ป๐ฒ ๐๐ถ๐๐ต ๐ฃ๐ โ Use Aurora as context, not signals
3๏ธโฃ ๐ช๐ฎ๐๐ฐ๐ต ๐๐ฎ๐ฟ๐บ๐ผ๐ป๐ โ High harmony setups win more
4๏ธโฃ ๐ฅ๐ฒ๐๐ฝ๐ฒ๐ฐ๐ ๐ฅ๐ฒ๐ด๐ถ๐บ๐ฒ โ Don't fight EXTREME volatility
5๏ธโฃ ๐๐ฎ๐๐ฒ๐ฟ ๐๐ผ๐ป๐ณ๐น๐๐ฒ๐ป๐ฐ๐ฒ โ Multi-layer bounces = Strong S/R
โ ๏ธ DISCLAIMER
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
This indicator is for educational purposes only. Past performance does not
guarantee future results. Always use proper risk management and conduct your
own analysis before making trading decisions.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโ ุดูู ุงูุชููุจ โโโโโโโโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโ ุญูุซ ุชูุชูู ุทุงูุฉ ุงูุณูู ุจุงูุดุนูุฑ ุงูุจุตุฑู โโโโโโโโโโโโโโโโโ
๐ ุงูู
ูุฏู
ุฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ูุญุฏุซ ุงูุดูู ุงููุทุจู ุนูุฏู
ุง ุชุตุทุฏู
ุงูุฌุณูู
ุงุช ุงูู
ุดุญููุฉ ุงููุงุฏู
ุฉ ู
ู ุงูุดู
ุณ ุจุงูุบุงุฒุงุช ูู ุงูุบูุงู ุงูุฌูู ููุฃุฑุถุ ู
ู
ุง ูุฎูู ู
ูุฌุงุช ุณุงุญุฑุฉ ู
ู ุงูุถูุก ุงูู
ููู.
ูุทุจู ููุณ ุงูู
ูููู
ุงูุฃููู ุนูู ุงูุฃุณูุงู ุงูู
ุงููุฉ
โก ุฒุฎู
ุงูุณุนุฑ = ุงูุฌุณูู
ุงุช ุงูู
ุดุญููุฉ
๐ ุทุจูุงุช ATR = ุทุจูุงุช ุงูุบูุงู ุงูุฌูู
๐จ ุดุฏุฉ ุงูููู = ุญุฌู
ุงูุทุงูุฉ
๐ ุชูุณุน ุงูุทุจูุงุช = ุญุงูุฉ ุงูุชููุจ
ุนูุฏู
ุง "ูุตุทุฏู
" ุงูุฒุฎู
ุจุทุจูุงุช ุงูุชููุจุ ููุถูุก ุงูุดูู ุงูุชุบูุฑุงุช ุงูู
ุญุชู
ูุฉ ูู ูุธุงู
ุงูุณูู โ ุบุงูุจุงู ูุจู ุฃู ุชุชุฌูู ุจุงููุงู
ู ูู ุญุฑูุฉ ุงูุณุนุฑ.
๐ฌ ุงูุนูู
ูุฑุงุก ุงูู
ุคุดุฑ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ุนูู ุนูุณ ู
ุคุดุฑุงุช ุงูุชููุจ ุงูุชูููุฏูุฉ ุงูุชู ุชูุฏู
ููู
ุฉ ูุงุญุฏุฉุ ูููุดุฆ ุดูู ุงูุชููุจ ๐ฝ๐ฎ๐พ๐น ๐๐ฎ๐พ๐ฎ๐น๐น๐๐ฏ ๐บ๐๐๐ฎ'๐ฎ๐ฑ๐ฑ๐ถ๐ฑ ๐ฎ๐น-๐ฎ๐ฏ'๐ฎ๐ฑ ุจุงุณุชุฎุฏุงู
ุฎู
ุณ ุทุจูุงุช ATR ู
ู
ูุฒุฉ ู
ุจููุฉ ุนูู ุฃุฑูุงู
ููุจููุงุชุดู:
โ ุงูุทุจูุฉ โ ุงููุชุฑุฉ โ ุงูู
ุนุงุฏู ุงูุฌูู โ ุงููุธููุฉ
โ ุงูุทุจูุฉูก โ 5 โ ุงูุฃููููุณููุฑ โ ุชูุชูุท ุชุญููุงุช ุงูุชููุจ ุงูููุฑูุฉ
โ ุงูุทุจูุฉูข โ 13 โ ุงูู
ูุฒูุณููุฑ โ ุงุณุชุฌุงุจุฉ ุงูุชููุจ ู
ุชูุณุทุฉ ุงูู
ุฏู
โ ุงูุทุจูุฉูฃ โ 34 โ ุงูุณุชุฑุงุชูุณููุฑ โ ูููู ุงูุชููุจ ุงูู
ุชูุณุท
โ ุงูุทุจูุฉูค โ 55 โ ุงูุชุฑูุจูุณููุฑ โ ุฎุท ุงูุฃุณุงุณ ููุชููุจ
โ ุงูุทุจูุฉูฅ โ 89 โ ุงูุณุทุญ โ ุงูุชููุจ ุงูููููู ุทููู ุงูู
ุฏู
โก ุงูู
ูุงููู
ุงูุฃุณุงุณูุฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ญ. ุชูุณุน ูุงููู
ุงุด ุงูุทุจูุงุช
ุชุชูุณุน ุฃู ุชููู
ุด ูู ุทุจูุฉ ุฏููุงู
ูููุงู ุจูุงุกู ุนูู ููู
ุฉ ATR ุงูู
ุนูุงุฑูุฉ:
โข ุทุจูุงุช ู
ุชูุณุนุฉ โ ูุธุงู
ุชููุจ ู
ุชุฒุงูุฏ
โข ุทุจูุงุช ู
ููู
ุดุฉ โ ุชููุจ ู
ุชูุงูุต / ุชุฌู
ูุน
โข ุชุฃุซูุฑ ุงูุชููุณ โ ุชุตูุฑ ุฅููุงุน ุงูุณูู ุงูุทุจูุนู
๐ฎ. ุฏุฑุฌุฉ ุงูุชูุงุบู
ุชููุณ ุงูุชูุงูู ุจูู ุฌู
ูุน ุงูุทุจูุงุช ุงูุฎู
ุณ:
โข ุชูุงุบู
ุนุงูู (>ูงู ูช) โ ุฌู
ูุน ุงูุฃุทุฑ ู
ุชููุฉ โ ุงุชุฌุงูุงุช ูููุฉ
โข ุชูุงุบู
ู
ูุฎูุถ (<ูฃู ูช) โ ุชุจุงูู ุงูุฃุทุฑ โ ุธุฑูู ู
ุชูุทุนุฉ
๐ฏ. ุดุฏุฉ ุงูุทุงูุฉ
ุชุญุฏุฏ ู
ุฏู ููุฉ "ุงุตุทุฏุงู
" ุงูุฒุฎู
ุจุทุจูุงุช ุงูุชููุจ:
โข ุดุฏุฉ ุนุงููุฉ โ ููุงุนุฉ ุงุชุฌุงููุฉ ูููุฉ
โข ุดุฏุฉ ู
ูุฎูุถุฉ โ ุฒุฎู
ุถุนููุ ุงุญุชู
ุงู ุงูุนูุงุณ
๐ฐ. ุชุตููู ุงููุธุงู
ุจูุงุกู ุนูู ุญุงูุงุช ุงูุทุจูุงุช ุงูู
ุฌู
ุนุฉ:
๐ข ูุงุฏุฆ โ ุชููุจ ู
ูุฎูุถ ุนุจุฑ ุฌู
ูุน ุงูุทุจูุงุช
๐ก ุทุจูุนู โ ุธุฑูู ุณูู ู
ุชูุงุฒูุฉ
๐ ู
ุชููุจ โ ูุดุงุท ู
ุฑุชูุน
๐ด ู
ุชุทุฑู โ ุญุงูุฉ ุงูุชููุจ ุงููุตูู
๐จ ุงูู
ูููุงุช ุงูุจุตุฑูุฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ุทุจูุงุช ุงูุดูู (ุงููุทุงูุงุช ุงูู
ุชุฏุฑุฌุฉ)
โข ุฎู
ุณุฉ ุฃุฒูุงุฌ ู
ู ุงููุทุงูุงุช ุงูู
ุชู
ุงุซูุฉ ุญูู ููุงุฉ ุงูุณุนุฑ
โข ุชุฏุฑุฌ ูููู ู
ู ุงูููุงุฉ (ุณุงุทุน) ุฅูู ุงูุฎุงุฑุฌ (ุฎุงูุช)
โข ุงูุชูุณุน ูุนูุณ ุญุงูุฉ ุงูุชููุจ ุงูุญุงููุฉ
๐ ุฎุท ุงูููุงุฉ
โข ุฎุท ุงุชุฌุงู ู
ุฑูุฒู ูุงุฆู
ุนูู EMA
โข ูุชุบูุฑ ุงูููู ู
ุน ุงุชุฌุงู ุงูุฒุฎู
:
๐ข ุณู
ุงูู = ุตุงุนุฏ
๐ด ูุฑุฏู = ูุงุจุท
๐ฃ ุจููุณุฌู = ู
ุญุงูุฏ
๐ซ ุฎุทูุท ูุจุถ ุงูุทุงูุฉ
โข ุฎุทูุท ุชุฏูู ู
ุงุฆูุฉ ุชูุธูุฑ ู
ุณุงุฑ ุงูุฒุฎู
โข ุฎุทูุท ุฃุณู
ู = ุทุงูุฉ ุฃุนูู
โข ุงูุงุชุฌุงู ูุดูุฑ ุฅูู ุชุฏูู ุงูุฒุฎู
๐ต ู
ูุฌุงุช ุงูุชูุงุบู
โข ุฎุทูุท ุนู
ูุฏูุฉ ู
ููุทุฉ ุชุธูุฑ ุนูุฏู
ุง ูุชุฌุงูุฒ ุงูุชูุงุบู
ูงู ูช
โข ุชุดูุฑ ุฅูู ุชูุงูู ุงูุฃุทุฑ ุงูุฒู
ููุฉ โ ู
ูุงุทู ุงุญุชู
ุงููุฉ ุนุงููุฉ
๐ ููููุฉ ุงูุงุณุชุฎุฏุงู
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ุชุชุจุน ุงูุงุชุฌุงู
โข ุงุฏุฎู ุนูุฏู
ุง ูุชูุณุน ุงูุดูู ูู ุงุชุฌุงูู
โข ููู ุฎุท ุงูููุงุฉ ูุคูุฏ ุงูุชุญูุฒ
โข ุชูุงุบู
ุนุงูู = ุซูุฉ ุฃุนูู
๐ฅ ุงุฎุชุฑุงูุงุช ุงูุชููุจ
โข ุฑุงูุจ ุชุญูู ุงููุธุงู
ู
ู ูุงุฏุฆ ุฅูู ู
ุชููุจ
โข ุงูุทุจูุงุช ุงูู
ุชูุณุนุฉ ุชุดูุฑ ุฅูู ุญุฑูุฉ ูุงุฏู
ุฉ
โข ุงุฑุชูุงุน ุงูุดุฏุฉ ูุคูุฏ ููุฉ ุงูุงุฎุชุฑุงู
โฉ๏ธ ุงูุงุฑุชุฏุงุฏ ููู
ุชูุณุท
โข ุงููุธุงู
ุงูู
ุชุทุฑู ุบุงูุจุงู ูุณุจู ุงูุงูุนูุงุณุงุช
โข ุทุจูุงุช ู
ููู
ุดุฉ ุจุนุฏ ุงูุชูุณุน = ุงุญุชู
ุงู ุชุฑุงุฌุน
โข ุชูุงุบู
ู
ูุฎูุถ ุฃุซูุงุก ุงูุงุชุฌุงูุงุช = ุฒุฎู
ุถุนูู
๐ก๏ธ ุฅุฏุงุฑุฉ ุงูู
ุฎุงุทุฑ
โข ุงุณุชุฎุฏู
ุงูุทุจูุงุช ุงูุฎุงุฑุฌูุฉ ูุฏุนู
/ู
ูุงูู
ุฉ ุฏููุงู
ูููุฉ
โข ุดูู ุฃูุณุน = ููู ุฎุณุงุฑุฉ ุฃูุณุน ู
ุทููุจ
โข ุดูู ู
ููู
ุด = ู
ุนุงููุฑ ู
ุฎุงุทุฑ ุฃุถูู
โ๏ธ ุฏููู ุงูุฅุนุฏุงุฏุงุช
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ููุงุฉ ุงูุดูู
โ ุงูุฅุนุฏุงุฏ โุงูุงูุชุฑุงุถูโ ุงููุตู
โ ุงูุทุจูุงุช ูก-ูฅ โ Fib โ ูุชุฑุงุช ATR (5,13,34,55,89)
โ ู
ุนุงู
ู ุงูุชูุณุน โ 2.5 โ ูุชุญูู
ูู ู
ุถุงุนู ุนุฑุถ ุงูุทุจูุงุช
โ ุงูุชูุนูู
โ 5 โ ุชูุนูู
EMA ูููุถูุญ ุงูุจุตุฑู
โก ู
ุฌุงู ุงูุทุงูุฉ
โ ุงูุฅุนุฏุงุฏ โุงูุงูุชุฑุงุถูโ ุงููุตู
โ ูุชุฑุฉ ุงูุฒุฎู
โ 14 โ ูุชุฑุฉ ุญุณุงุจ ุงูุฒุฎู
โ ูุชุฑุฉ ุงูุทุงูุฉ โ 21 โ ูุงูุฐุฉ ุงูุชุทุจูุน
โ ู
ุถุงุนู ุงูุทุงูุฉ โ 1.5 โ ูุถุฎู
ุนุฑุถ ุงูุทุงูุฉ
๐จ ุงูุนุฑุถ ุงูุจุตุฑู
โ ุงูุฅุนุฏุงุฏ โุงูุงูุชุฑุงุถูโ ุงููุตู
โ ุงููุบุฉ โ EN โ ูุบุฉ ุงููุงุฌูุฉ (EN/AR)
โ ุฅุธูุงุฑ ุงูุดูู โ โ โ ุชุจุฏูู ุธููุฑ ุงูุทุจูุงุช
โ ุฎุท ุงูููุงุฉ โ โ โ ุชุจุฏูู ุงูุฎุท ุงูู
ุฑูุฒู
โ ูุจุถ ุงูุทุงูุฉ โ โ โ ุชุจุฏูู ุฎุทูุท ุงูุชุฏูู
โ ู
ูุฌุงุช ุงูุชูุงุบู
โ โ โ ุชุจุฏูู ู
ุคุดุฑุงุช ุงูุชูุงูู
๐ ุงูุชูุจููุงุช
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โก ุชุญูู ุงููุธุงู
โ ุชุบูุฑ ูุธุงู
ุงูุชููุจ
๐ต ุชูุงุบู
ุนุงูู โ ุฌู
ูุน ุงูุทุจูุงุช ู
ุชูุงููุฉ (>ูจูฅูช)
โ๏ธ ุชุบูุฑ ุงูุงุชุฌุงู โ ุงูุนูุณ ุงุชุฌุงู ุงูุฒุฎู
๐ฅ ุงุฑุชูุงุน ุงูุดุฏุฉ โ ุชุฌุงูุฒุช ุงูุทุงูุฉ ุนุชุจุฉ ูจู ูช
๐ก ูุตุงุฆุญ ููุญุตูู ุนูู ุฃูุถู ุงููุชุงุฆุฌ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
1๏ธโฃ ุงูุฃุทุฑ ุงูุฒู
ููุฉ ุงูุฃุนูู โ ุงูุดูู ูุนู
ู ุจุดูู ุฃูุถู ุนูู ุณุงุนุฉ ูุฃูุซุฑ
2๏ธโฃ ุงุฏู
ุฌ ู
ุน ุญุฑูุฉ ุงูุณุนุฑ โ ุงุณุชุฎุฏู
ุงูุดูู ูุณูุงู ูููุณ ุฅุดุงุฑุงุช
3๏ธโฃ ุฑุงูุจ ุงูุชูุงุบู
โ ุฅุนุฏุงุฏุงุช ุงูุชูุงุบู
ุงูุนุงูู ุชุฑุจุญ ุฃูุซุฑ
4๏ธโฃ ุงุญุชุฑู
ุงููุธุงู
โ ูุง ุชุญุงุฑุจ ุงูุชููุจ ุงูู
ุชุทุฑู
5๏ธโฃ ุชูุงุทุน ุงูุทุจูุงุช โ ุงุฑุชุฏุงุฏ ู
ู ุทุจูุงุช ู
ุชุนุฏุฏุฉ = ุฏุนู
/ู
ูุงูู
ุฉ ูููุฉ
โ ๏ธ ุฅุฎูุงุก ุงูู
ุณุคูููุฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ูุฐุง ุงูู
ุคุดุฑ ููุฃุบุฑุงุถ ุงูุชุนููู
ูุฉ ููุท. ุงูุฃุฏุงุก ุงูุณุงุจู ูุง ูุถู
ู ุงููุชุงุฆุฌ ุงูู
ุณุชูุจููุฉ.
ุงุณุชุฎุฏู
ุฏุงุฆู
ุงู ุฅุฏุงุฑุฉ ู
ุฎุงุทุฑ ู
ูุงุณุจุฉ ููู
ุจุชุญูููู ุงูุฎุงุต ูุจู ุงุชุฎุงุฐ ูุฑุงุฑุงุช ุงูุชุฏุงูู.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
CCI by DioAdded background color to entry points of the channel for easy observation to levels I am looking at.


















