Time SessionTime Session is a lightweight indicator to visually highlight up to 3 trading time windows on any chart. It’s built to help you verify sessions precisely (especially when TradingView timezones/session handling can be confusing).
Key Features
3 independent session slots (enable/disable each slot)
Global timezone mode:
EXCHANGE : uses the symbol’s exchange timezone (recommended in most cases)
CUSTOM : use your own timezone string, copy the timezone label shown on your chart (bottom-right corner) and paste it into the CUSTOM field.
Example: `UTC+1`, `UTC+2`, `UTC-5`, etc.
Background highlighting for each slot (custom color + transparency)
Start/End markers at the bottom of the chart:
S1 = Slot 1 Start , E1 = Slot 1 End
S2 = Slot 2 Start , E2 = Slot 2 End
S3 = Slot 3 Start , E3 = Slot 3 End
Data Window debug : `inSlot1`, `inSlot2`, `inSlot3`, `inAny`
How to Use
1. Add the indicator to your chart.
2. Set Timezone Mode to EXCHANGE or CUSTOM .
3. If CUSTOM , paste the chart timezone label (e.g., `UTC+1`)
4. Configure Session Slot 1/2/3 using `HHMM-HHMM` (example: `07:00-18:00`).
5. Use the highlighted background and **S/E markers** to confirm the exact hours.
Good Trading
Indicateurs et stratégies
3 EMA Kesisim-Canengin15 dakikalık grafiklerde ema 8 in sırasıyla 21 ve 50 yi kesmesi ile alim satim sinyali üretir
Acrobatic Loto Predictor [Taolue Remix]
市場のカオスを、幸運の数字へ。
このインジケーターは、現在のチャートの「価格変動」「時間」「ボラティリティ」を複雑な計算式(カオス力学)に通すことで、 Loto 6 (6/43) および Loto 7 (7/37) の予想数字を算出する実験的なツールです。
単なるランダム生成(乱数)ではありません。RSIやボリンジャーバンドといったテクニカル指標の数値を「乱数の種(シード)」として使用しているため、 「相場の息遣い」がそのまま数字として出力されます。
【主な機能】
1. モード: 設定画面から「Loto 6」と「Loto 7」を切り替え可能です。
2. カオス&テクニカル・ロジック:
- カオス力学: ローレンツ・アトラクタに着想を得た非線形計算。
- テクニカル: RSI(相対力指数)とボリンジャーバンドの位置関係を係数化。
- 概念定数: 黄金比(φ)や特定の数学的定数を隠し味に配合。
3. ストップ(固定)機能: チャートが動くたびに数字は変動しますが、「ここだ!」と思った瞬間にチェックボックスで数字を 完全固定(ロック) できます。
4. リロール(再抽選)機能: 固定した数字が気に入らない場合、リロール値を変更することで、その瞬間のパラレルワールド(別の計算結果)を呼び出せます。
5. ディスコモード: 数字が変動している間は背景色がリズミカルに変化し、固定すると色が落ち着く視覚効果付き。
【使い方】
1. チャートに追加します(ビットコインや為替など、動きのある銘柄推奨)。
2. 設定画面で Loto 6 か Loto 7 を選びます。
3. チャートを眺め、相場の「波」を感じます。
4. 直感的に良いタイミングで設定画面の 「ストップ(数値を固定)」 にチェックを入れます。
5. 表示された数字をメモします。(気に入らなければ「結果のリロール」数値を変更してください)
※免責事項:
このツールはエンターテインメント目的で作成されています。当選を保証するものではありません。宝くじの購入は自己責任で楽しみましょう。
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Transform Market Chaos into Lucky Numbers.
This indicator is an experimental tool that generates predictions for Loto 6 and Loto 7 by feeding current chart data—price action, time, and volatility—into complex chaotic algorithms.
This is not a simple random number generator. It uses technical indicators like RSI and Bollinger Bands as "seeds" for generation. Essentially, the heartbeat of the market decides your numbers.
1. Mode: Switch between "Loto 6" (pick 6 from 43) and "Loto 7" (pick 7 from 37) in the settings.
2. Chaos & Technical Logic:
- Chaos Dynamics: Non-linear calculations inspired by the Lorentz Attractor.
- Technical Analysis: Weighing factors based on RSI and Bollinger Band positioning.
- Conceptual Constants: Incorporates the Golden Ratio (φ) and other mathematical constants.
3. Freeze/Lock Function: Numbers fluctuate with every tick. Use the "Stop" checkbox to lock the numbers at the exact moment you feel the market energy align.
4. Reroll System: If you lock the numbers but don't like the result, change the "Reroll" value to access a parallel timeline (alternate calculation result) for the same candle.
5. Disco Visuals: Background colors dance rhythmically while spinning and settle down when locked.
1. Add to chart (highly volatile assets like BTC or FX recommended).
2. Select Loto 6 or Loto 7 in the settings.
3. Watch the chart and feel the "wave" of the market.
4. Check the "Stop (Lock Numbers)" box in settings when your intuition strikes.
5. Note down the numbers. (Use the "Reroll" input if you want to reshape your destiny).
This tool is for entertainment purposes only. It does not guarantee any lottery winnings. Please play responsibly.
Arpoom//@version=5
indicator("Volume & Body Spike Multiplier", overlay=true)
// 1. คำนวณค่าเฉลี่ย 20 แท่ง
avgVol = ta.sma(volume, 20)
currentBody = math.abs(close - open) // ใช้ math.abs เพื่อให้ค่าเป็นบวกเสมอ
avgBody = ta.sma(currentBody, 20)
// 2. คำนวณ Multipliers
volMultiplier = volume / avgVol
bodyMultiplier = currentBody / avgBody
// 3. กำหนดเงื่อนไข
// วอลุ่มมากกว่า 2 เท่า และ เนื้อเทียนยาวกว่าค่าเฉลี่ยเนื้อเทียน 20 แท่ง
volCondition = volume > (avgVol * 2)
bodyCondition = currentBody > avgBody
longCondition = volCondition and bodyCondition and close > open
shortCondition = volCondition and bodyCondition and close <= open
// 4. วาดลูกศร
plotshape(longCondition, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Long Body Spike")
plotshape(shortCondition, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Short Body Spike")
// 5. แสดงตัวเลขบน Label (V = Volume x, B = Body x)
if longCondition
label.new(bar_index, low, str.format("V: {0,number,#.#}x B: {1,number,#.#}x", volMultiplier, bodyMultiplier), yloc=yloc.belowbar, color=color.new(color.green, 20), textcolor=color.white, style=label.style_label_up, size=size.small)
if shortCondition
label.new(bar_index, high, str.format("V: {0,number,#.#}x B: {1,number,#.#}x", volMultiplier, bodyMultiplier), yloc=yloc.abovebar, color=color.new(color.red, 20), textcolor=color.white, style=label.style_label_down, size=size.small)
// 6. ระบบแจ้งเตือน (Alerts)
alertcondition(longCondition, title="Buy Spike (Vol & Body)", message="Body Spike Up! Vol: {{plot_0}}x, Body: {{plot_1}}x")
alertcondition(shortCondition, title="Sell Spike (Vol & Body)", message="Body Spike Down! Vol: {{plot_0}}x, Body: {{plot_1}}x")
// ส่งค่าออกเพื่อให้ Alert ดึงไปใช้
plot(volMultiplier, "Vol Mult", display=display.none)
plot(bodyMultiplier, "Body Mult", display=display.none)
WT Crossover Strategy Main Chart Indicator# WT Crossover Strategy Main Chart Indicator
## Indicator Overview
The WT Crossover Strategy Main Chart Indicator is a trading signal system based on the Wave Trend (WT) indicator, specifically designed for the TradingView platform. This indicator combines WT indicator crossover signals with ATR-based take profit and stop loss calculations, providing traders with clear entry signals and explicit risk management references.
## Core Features
### 1. Trading Signal Identification
- WT Indicator Crossover Signals : Identifies potential trend reversals based on golden crosses/death crosses between WT1 and WT2
- EMA Trend Filtering : Optional EMA20 and EMA200 trend filtering to help confirm trend direction
- Entry Point Markers : Green triangles mark long entry points, red triangles mark short entry points
### 2. Risk Management Visualization
- Fixed-Length SL/TP Lines : Generates 10-bar length dashed lines at entry, marking take profit and stop loss prices
- Trigger Status Display : When take profit or stop loss is triggered, dashed lines turn solid and display "Take Profit Triggered" or "Stop Loss Triggered" labels
- ATR-Based Calculations : Automatically calculates take profit and stop loss prices using ATR indicator, adapting to different market volatility
### 3. Customizable Parameters
- Preset Symbols : Built-in optimized parameters for Gold, Rebar, Fuel Oil, Bitcoin, Ethereum, etc.
- Line Length Adjustment : Customizable display length for take profit and stop loss lines
- ATR Parameter Adjustment : Adjustable ATR period, stop loss multiplier, and take profit multiplier
- Filter Control : Enable or disable zone filtering and trend filtering
## Technical Features
- Fixed-Length Lines : Take profit and stop loss lines only display for a fixed length, avoiding chart clutter
- Status Change Markers : Intuitively displays take profit/stop loss status through line style changes and labels
- Responsive Design : Automatically adapts to different timeframes and symbols
- Clear Visual Hierarchy : Reasonable color scheme and marker size ensure clear and readable charts
## Usage Instructions
1. Load the Indicator : Apply the indicator to your chart
2. Select Symbol : Choose your trading symbol from the presets or manually adjust parameters
3. Observe Signals :
- Consider going long when green triangles appear
- Consider going short when red triangles appear
4. Set Stop Loss : Reference the red dashed line for stop loss placement
5. Set Take Profit : Reference the green dashed line for take profit placement
6. Monitor Status : When dashed lines turn solid and display labels, it indicates take profit or stop loss has been triggered
## Application Scenarios
- Trend Trading : Combined with EMA filtering to identify medium-term trends
- Swing Trading : Utilizes WT indicator's overbought/oversold characteristics to capture price reversals
- Risk Control : Implements scientific risk-reward ratio management through ATR-calculated take profit and stop loss
- Strategy Verification : Serves as an independent indicator to verify your trading strategy signals
## Notes
- This indicator is for reference only and does not constitute investment advice
- It is recommended to use in conjunction with other technical analysis tools
- Please thoroughly backtest before live trading to adapt to your trading style
- Different symbols may require parameter adjustments for optimal results
Occurrence Scanner | MA Resilience & Breakout LogicThis indicator is designed to quantify the reliability of a Moving Average (MA) as a dynamic Support or Resistance level. Unlike standard crossover indicators that generate signals on every touch, this script employs a rigorous "Zone Tolerance" and "Temporal Confirmation" logic to filter out noise and classify price action into three distinct behaviors: Valid Bounce, Confirmed Breakout, or False Breakout (Trap).
It also integrates an optional Volatility Filter (based on TTM Squeeze mechanics) to prevent false signals during low-volatility "chop" regimes.
HOW IT WORKS:
1. The "Safe Zone" (Buffer Logic): Standard MAs are thin lines. This script creates a programmable "Road" around the MA (defined by the Zone Tolerance % input).
A touch is only considered a potential breakout if the price closes outside this zone.
Wicks that pierce the MA but close inside the zone are treated as Bounces (respecting the level).
2. Event Classification (The Decision Engine): Once the price interacts with the MA Zone, a "Sovereignty Window" (Lookahead Timer) is activated to monitor the subsequent candles:
✅ Bounce: Price tests the MA but never closes outside the Safe Zone during the window. The MA held as support/resistance.
❌ Breakout (Breakdown/Breakup): Price closes outside the Safe Zone. A strict "2-Consecutive Close" logic is applied to confirm the trend change immediately, avoiding premature signals.
⚠️ False Break: Price momentarily closes outside the zone but aggressively reverses to the opposite side within the time window. This identifies "Bull/Bear Traps".
3. The Volatility Filter (Anti-Chop): Market consolidation often leads to MA whipsaws.
The script calculates Bollinger Bands (2.0 std) vs. Keltner Channels (1.5 ATR).
If the Squeeze Filter is enabled in settings, the script forces the scanner to IGNORE any MA touches while volatility is compressed (Squeeze ON). This ensures signals are only generated during active trends.
SETTINGS:
MA Type & Length: Choose between SMA or EMA and the period (e.g., 20, 50, 200).
Zone Tolerance (+/- %): The buffer width. Default is 0.2%. Higher values filter more noise.
Lookahead Candles: The confirmation window size.
Squeeze Filter: Toggle On/Off to ignore signals during low volatility regimes.
INTENDED USE: This tool is intended for Swing Traders and Scalpers looking to statistically validate which Moving Average is being respected by a specific asset. It automates the "visual backtest" process, providing a Dashboard with success rates for Bounces vs. Breaks.
Sakalau02 - 10 SessionsThis Pine Script indicator, "Market Sessions - 10 Sessions", is a professional-grade visualization tool designed to map the temporal structure of the financial markets directly onto your chart. It acts as a "chronological compass," helping traders identify volatility cycles and the institutional "changing of the guard" across global financial hubs.
Here is a breakdown of its core features and why it is ideal for highlighting market phases:
## Comprehensive Global Coverage
While most indicators only track the "Big Three" (London, New York, Tokyo), this script provides support for up to 10 customizable sessions.
Standard Sessions: Tokyo, London, New York, and Sydney.
Extended Hubs: Includes Frankfurt, Hong Kong, Singapore, Shanghai, Toronto, and Mumbai.
Why it matters: This allows you to track specific liquidity pockets, such as the Frankfurt open (which often front-runs London) or the crucial Asian-Pacific overlaps.
## Visualizing Market Phases
The indicator uses a Box-based visual system to encapsulate price action within specific timeframes. This helps in identifying:
Accumulation Phases: Typically seen during lower-volume sessions (like late Sydney or early Tokyo) where price moves sideways in a tight box.
Expansion/Trend Phases: Easily identified when a new session (like London or NY) breaks out of the previous session’s high or low.
Distribution/Reversals: Indicated when price reaches the upper or lower boundaries of a session box and fails to sustain the move.
## Key Technical Insights
The script doesn't just draw boxes; it provides "internal" session data to refine your entries:
Open/Close Lines: Highlights the session's starting price versus its current trajectory, helping you see if a session is "bullish" or "bearish" at a glance.
0.5 Median Level: Automatically plots the mid-point (50% level) of each session's range, which often acts as a significant "fair value" support or resistance area.
Pips & Percentage Tracking: Built-in hooks to calculate the volatility (range) of each session.
## Advanced Customization & Cleanliness
Overlap Management: Includes a "Merge Overlaps" feature to keep the chart clean during periods where multiple major markets are open simultaneously.
Lookback Control: To prevent chart lag, you can limit the history (e.g., last 150 days), ensuring the script runs smoothly even on lower timeframes.
Multi-Display Modes: Choose between Boxes, Zones (background highlights), or Timeline views depending on your preference for price action clarity.
## Summary for Trading Strategy
This indicator is perfect for Power of 3 (PO3) or ICT-style traders who rely on "Time and Price." By highlighting exactly when New York opens relative to London, or where the "London Lunch" stagnation occurs, it helps you avoid "choppy" low-liquidity periods and focus on high-probability volatility windows.
Alții caută confirmări, eu desenez zonele. ✍️ Sakalau02: Semnat, Andrei. (Nu uitați să verificați 0.5-ul!)
stelaraX - Moving Average MultistelaraX – Multi MA
stelaraX – Multi MA is a flexible moving average indicator that allows the use of up to four independently configurable moving averages on a single chart. Each moving average can be customized by type, length, source, color, and line width, making the indicator suitable for a wide range of trading styles and timeframes.
The indicator is designed to provide a clear overview of trend direction, dynamic support and resistance, and moving average interactions.
Core logic
The script supports multiple moving average calculation methods:
* Simple Moving Average (SMA)
* Exponential Moving Average (EMA)
* Weighted Moving Average (WMA)
* Hull Moving Average (HMA)
* Volume Weighted Moving Average (VWMA)
* Running Moving Average (RMA)
Each of the four moving averages can be enabled or disabled individually and calculated from any price source.
Crossover signals
The indicator can generate crossover signals between any two selected moving averages:
* bullish crossover when the fast MA crosses above the slow MA
* bearish crossover when the fast MA crosses below the slow MA
Crossover signals are displayed directly on the chart using directional markers and can be enabled or disabled as needed.
MA cloud
An optional moving average cloud can be displayed between two selected moving averages:
* bullish cloud when the faster MA is above the slower MA
* bearish cloud when the faster MA is below the slower MA
Cloud colors and transparency are fully customizable.
Visualization
The indicator plots up to four moving average lines directly on the chart.
Additional visual features include:
* optional MA crossover markers
* optional moving average cloud
* optional bar coloring based on price position relative to selected moving averages
Bar colors reflect basic trend conditions when price is above or below selected averages.
Alerts
Alert conditions are available for:
* bullish and bearish moving average crossovers
* price crossing above or below selected moving averages
* price crossing above or below the long-term moving average
Alerts trigger only on confirmed crossover conditions.
Use case
This indicator is intended for:
* trend identification and confirmation
* moving average crossover strategies
* dynamic support and resistance analysis
* multi-timeframe trend alignment
* general market structure visualization
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
NY 9:30-9:35 Open Rangehis indicator automatically plots the New York Opening Range based on the first 5 minutes of the session (09:30–09:35 NY time) — one of the most important liquidity and price-discovery periods of the trading day.
What it displays
- Opening Range Box (09:30–09:35)
Highlights the high and low formed during the first 5 minutes after the NY market opens.
High & Low Extensions Horizontal projection lines extending the opening range forward for a user-defined number of hours.
Midpoint (50%) Level, A dotted line marking the midpoint of the range, useful for balance, mean-reversion, and confirmation setups.
Dynamic Wick PriceAdvanced Line Chart, which plots Highs + Lows
which was missing in traditional line chart
Multi-Timeframe Trend Analyzer [Anatmart]Multi-Timeframe Trend Analyzer shows Trend of 10 timeframes, Strength (%)
Power (STRONG/MEDIUM/WEAK) in the table.
Historical Annual Avg Growth Lines + 1-Year ProjectionThis script creates an overlay indicator on your TradingView chart that visualizes the historical average annual growth rate of the selected instrument (e.g., TSLA) in a specific way. Here's a step-by-step summary of what it represents and how it works:
Overall Purpose
It calculates the average annual percentage gain (arithmetic mean) across the instrument's entire trading history, using non-overlapping periods of 252 trading days each (approximating one year, excluding weekends/holidays).
It then draws horizontal green lines on the chart for each complete "year" segment, showing a projected "fair value" price level for that year based on the overall average growth rate.
This helps you compare actual historical price action against what the price "would have been" if it had grown steadily at the stock's long-term average annual rate. Lines above actual prices suggest periods where growth exceeded the average (potentially overvalued in hindsight), while lines below suggest underperformance (potentially undervalued).
The calculation excludes the most recent incomplete year (any bars beyond the last full 252-day segment), ensuring only fully realized historical periods are used.
Key Calculations
Identifying Complete Years: It divides the chart's data from the first trading day (bar_index 0) into segments of exactly 252 bars each. For example:
Year 1: Bars 0 to 251
Year 2: Bars 252 to 503
And so on, up to the last full segment before the current bar.
If the total bars aren't a perfect multiple of 252, the partial current year is ignored.
Average Annual % Gain: For each complete year segment:
It computes the % gain as (end_price - start_price) / start_price.
Sums these % gains across all years and divides by the number of years to get the overall average (e.g., if TSLA averaged 42% per year historically, that's the value used).
Projected Price Lines: For each year segment:
Takes the starting price of that year.
Applies the overall average % gain to project a "target" end-of-year price: start_price * (1 + average_annual_gain).
Draws a horizontal line at that projected price level, spanning only the bars of that specific year (e.g., a flat green line covering 252 bars, positioned above or below the actual price action for visual comparison).
Visual Representation
Horizontal Lines: Each green line is flat and covers one historical year block on the chart. Earlier years (left side) will have lower projected prices (reflecting lower starting prices), while later years (right side) will have higher ones as the base price compounds over time—but each is independent and based on that year's start.
No Smoothing or Rolling: Unlike a moving average, these are static historical segments (non-overlapping), recalculated only on the last bar for efficiency.
Example on TSLA: Assuming TSLA's long-term average annual gain is ~42% (based on its history since 2010 IPO), the line for Year 1 would be at * 1.42, spanning the first 252 bars. Year 2 would start from the actual price at bar 252 and project * 1.42, and so on. If lines are consistently above actual prices in recent years, it might indicate recent growth slowing relative to historical averages.
Forward Projection (1 Year Out)
The script also extends a dashed orange horizontal line to the right of the current bar, projecting the price one year into the future based on the same historical average annual growth rate.
It starts from the end price of the last complete historical year as the base.
Applies the average % gain once more to estimate the "target" price after another 252 trading days (e.g., base_price * (1 + average_annual_gain)).
The line is dashed and orange for distinction, extending approximately 252 bars to the right (scroll or zoom right to view the full projection). This provides a visual guide for where the price "might" trend if growth continues at the historical average, helping with long-term investment planning like setting targets or assessing potential upside.
3+ Consecutive Inside Candles Detectorlotshape(signal, title="Inside Candle Sequence", style=shape.labeldown,
text="Inside 3+", location=location.abovebar, color=color.new(color.blue, 0), size=size.tiny)
Ehlers Adaptive Trend FilterEHLERS ADAPTIVE TREND FILTER | Lag-Compensated SuperSmoother
Based on John Ehlers' "Smoothing The Data" (2014), this indicator extends
the SuperSmoother with hybrid Butterworth filters and dynamic lag compensation.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
KEY FEATURES:
✓ 3 FILTER MODES (lag-measured empirically)
• 2p+2p (Fast): 62 bars lag — responsive, great for scalping
• 3p+2p (Hybrid): 70 bars lag — RECOMMENDED, best risk/reward
• 3p+3p (Smooth): 88 bars lag — ultra-smooth for macro trends
✓ LAG-COMPENSATED MOMENTUM
Automatically extends momentum lookback to account for filter delay.
Keeps momentum signals responsive despite heavy smoothing.
✓ CONFIRMATION-BASED REVERSALS
Requires 2+ bars confirmation before signaling reversals.
~60% fewer false signals than single-bar detection.
Reduces whipsaws on volatile assets.
✓ VOLATILITY-ADAPTIVE THRESHOLDS
Automatically scales all deviation levels based on asset volatility.
Works seamlessly across:
- Crypto (20%+ volatility)
- Equities (10-15% volatility)
- Forex (2-5% volatility)
- Bonds (<2% volatility)
✓ MULTI-TIMEFRAME AUTO-CALIBRATION
Automatically optimizes filter periods for your trading style:
- Scalping (<1H): 2p+2p (Fast)
- Swing Trading (1D): 3p+2p (Hybrid) ← Default
- Position Trading (1W+): 3p+3p (Smooth)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHAT YOU GET IN THE DASHBOARD:
• TREND STATUS: Good/Bad (signal above/below baseline)
• MOMENTUM: Strong/Steady/Weak/Opposing (lag-compensated)
• MOMENTUM TREND: Increasing/Decreasing/Stable
• SUPPORT BASELINE: Bull Reversal/Bear Reversal/Aligned
• SUPPORT SLOPE: Positive/Negative/Neutral (with %)
• SAFETY MARGIN: % distance from baseline
• PRICE DEVIATION: Extended/Expanding/On Course/Lagging
• TECHNICAL RATING: Perfect/Transition/Dangerous/Critical
• VOLATILITY: Live % + historical baseline
• FILTER CONFIG: Active mode + exact lag metric
• THRESHOLD LEVELS: Adaptive or Fixed mode
• ANALYSIS MODE: Auto-calibrated or Manual
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PERFORMANCE (Backtested 2020-2024):
ES 1D (3p+2p Hybrid):
✓ 68% Win Rate | 2.2:1 Profit Factor
✓ 12% Max Drawdown | Avg Trade: +45 points
BTC 4H (3p+2p Hybrid):
✓ 62% Win Rate | 1.9:1 Profit Factor
✓ 18% Max Drawdown | Avg Trade: +$280
EURUSD 1H (2p+2p Fast):
✓ 55% Win Rate | 1.7:1 Profit Factor
✓ 8% Max Drawdown | Avg Trade: +45 pips
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
HOW TO USE:
1. Add indicator to chart (any asset, any timeframe)
2. Select Filter Configuration:
→ 3p+2p (Hybrid) recommended for most traders
3. Read the dashboard (bottom-right table)
4. Trade signals:
→ ENTER: Trend Status = "Good" + Momentum = "Strong"
→ EXIT: Trend Status = "Bad" OR background highlight appears
5. Combine with your own trade plan (entries, sizing, risk management)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHY THIS INDICATOR?
Most traders face a painful choice:
→ Fast MA (like EMA20): Responsive but too many false signals
→ Slow MA (like EMA100): Smooth but miss 20% of moves
Ehlers SuperSmoother solves this using 40+ years of digital signal
processing research. Butterworth filters preserve trend direction while
removing high-frequency noise more efficiently than moving averages.
The innovation: LAG COMPENSATION
By measuring the exact delay of each filter and dynamically adjusting
momentum lookback windows, you get BOTH clean trends AND responsive signals.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TECHNICAL DETAILS:
Filter Type: Ehlers 2-Pole & 3-Pole SuperSmoother (Butterworth)
Lag Compensation: Empirically measured via step response
Momentum Adjustment: 1.0x (2p+2p) / 1.15x (3p+2p) / 1.45x (3p+3p)
Volatility Model: 75th percentile of rolling 252-day returns
Reversal Confirmation: 2-bar minimum (reduces noise)
Repainting: NO (Pine Script v6, confirmed bars only)
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DISCLAIMER:
This indicator is for educational and analytical purposes only.
NOT financial advice, investment recommendations, or profit guarantees.
• Past performance does NOT guarantee future results
• All trading involves risk, including loss of principal
• Test extensively on historical data before live trading
• "Safety" and "Risk" metrics measure technical deviation, NOT capital protection
• Start with small position sizes and proper risk management
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REFERENCE:
Ehlers, J. (2014). "Smoothing The Data." Stocks & Commodities Magazine.
Oppenheim & Schafer. "Discrete-Time Signal Processing" (3rd ed.)
Daily ATR & Market Cap DisplayDaily ATR & Market Cap Display:
Displays daily ATR percentage with color-coded volatility alerts (🟢 0-4%, 🟡 4-8%, 🔴 8%+) and market cap with size indicators (🔴 <1B, 🟡 1-5B, 🟢 5B+).
Features:
- Daily ATR remains constant across all timeframes
- Customizable position (9 locations + vertical offset)
- Adjustable text size and colors
- Clean, fixed on-screen display
ADAPTIVE SCALP MASTERADAPTIVE SCALP MASTER (ASM)
Overview
ADAPTIVE SCALP MASTER (ASM) is a high-performance technical analysis tool specifically engineered for scalpers and day traders. It combines statistical volatility analysis with a unique time-frame adaptation engine, allowing the script to automatically recalibrate its sensitivity whether you are trading the 1-minute chart or the 4-hour trend.
The core logic is based on Z-Score Mean Reversion coupled with Zero-Lag Least Squares Moving Average (ZLSMA) for trend filtering, ensuring that you enter trades only when momentum and statistical overextension align.
Key Features
Timeframe Adaptation Engine: ASM automatically adjusts its Z-Score lengths, thresholds, and ATR multipliers based on your current chart. It tightens parameters for high-frequency scalping (M1-M5) and widens them for higher timeframes to filter out market noise.
Z-Score Mean Reversion: Utilizes statistical standard deviation to identify overbought and oversold conditions with precision.
Zero-Lag Trend Filtering: Features a customized ZLSMA to provide a smooth, reactive trend baseline without the lag of traditional MAs.
Smart Risk Management: Automatically calculates dynamic Stop Loss and Take Profit levels based on current ATR volatility.
Aggressive Scalping Mode: A specialized toggle for experienced traders that maximizes signal frequency by loosening standard confirmation filters.
How It Works
Normalization: The indicator calculates the price deviation (Z-Score).
Adaptive Thresholds: It checks if the price has reached a statistically significant extreme (Overbought/Oversold).
Multi-Stage Filtering:
Trend Filter: Signals must align with the ZLSMA direction (optional).
Volume Filter: Requires a surge in volume to confirm the move (optional).
Candle Confirmation: Requires price action to flip in the signal's direction before firing.
Execution: Once all conditions are met, the script plots entry shapes and dynamic risk levels.
Settings Guide
Aggressive Mode: Use this for fast-paced scalping on M1. It disables the trend and volume filters to capture every micro-reversal.
Base Sensitivity: Controls how far back the Z-Score looks. Default is 10. Lower values make the indicator more reactive.
Base Threshold: Standard is 1.5. Increase this value (e.g., to 2.0) if you want fewer, higher-probability signals.
Min Bars Between: Use this to prevent "signal clustering" during periods of high volatility.
User Interface
The Info Panel provides real-time data including:
Current Market Bias (Trend direction).
Live Z-Score value.
Current ATR-based volatility status.
Trade Signal confirmation status.
Weekly Tightness Near EMA//@version=6
indicator("Weekly Tightness Near EMA", overlay=true)
// ===========================
// INPUT PARAMETERS
// ===========================
tightness_pct = input.float(3.0, "Tightness % Range", minval=0.1, maxval=10.0)
ema_proximity_pct = input.float(5.0, "EMA Proximity %", minval=0.5, maxval=15.0)
small_candle_pct = input.float(5.0, "Small Candle % (body)", minval=0.5, maxval=10.0)
show_ema10 = input.bool(true, "Show 10 Week EMA")
show_ema20 = input.bool(true, "Show 20 Week EMA")
show_signals = input.bool(true, "Show Tightness Signals")
// ===========================
// GET WEEKLY DATA
// ===========================
weekly_close = request.security(syminfo.tickerid, "W", close, barmerge.gaps_off, barmerge.lookahead_off)
weekly_open = request.security(syminfo.tickerid, "W", open, barmerge.gaps_off, barmerge.lookahead_off)
weekly_high = request.security(syminfo.tickerid, "W", high, barmerge.gaps_off, barmerge.lookahead_off)
weekly_low = request.security(syminfo.tickerid, "W", low, barmerge.gaps_off, barmerge.lookahead_off)
weekly_close_1 = request.security(syminfo.tickerid, "W", close , barmerge.gaps_off, barmerge.lookahead_off)
weekly_open_1 = request.security(syminfo.tickerid, "W", open , barmerge.gaps_off, barmerge.lookahead_off)
weekly_high_1 = request.security(syminfo.tickerid, "W", high , barmerge.gaps_off, barmerge.lookahead_off)
weekly_low_1 = request.security(syminfo.tickerid, "W", low , barmerge.gaps_off, barmerge.lookahead_off)
weekly_close_2 = request.security(syminfo.tickerid, "W", close , barmerge.gaps_off, barmerge.lookahead_off)
weekly_open_2 = request.security(syminfo.tickerid, "W", open , barmerge.gaps_off, barmerge.lookahead_off)
weekly_high_2 = request.security(syminfo.tickerid, "W", high , barmerge.gaps_off, barmerge.lookahead_off)
weekly_low_2 = request.security(syminfo.tickerid, "W", low , barmerge.gaps_off, barmerge.lookahead_off)
// Weekly EMAs
weekly_ema10 = request.security(syminfo.tickerid, "W", ta.ema(close, 10), barmerge.gaps_off, barmerge.lookahead_off)
weekly_ema20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20), barmerge.gaps_off, barmerge.lookahead_off)
// ===========================
// CALCULATE CANDLE SIZE
// ===========================
// Calculate body size (close - open) as percentage of price
candle_body_0 = math.abs(weekly_close - weekly_open)
candle_body_1 = math.abs(weekly_close_1 - weekly_open_1)
candle_body_2 = math.abs(weekly_close_2 - weekly_open_2)
candle_body_pct_0 = (candle_body_0 / weekly_close) * 100
candle_body_pct_1 = (candle_body_1 / weekly_close_1) * 100
candle_body_pct_2 = (candle_body_2 / weekly_close_2) * 100
// Calculate full range (high - low) as percentage
candle_range_0 = weekly_high - weekly_low
candle_range_1 = weekly_high_1 - weekly_low_1
candle_range_2 = weekly_high_2 - weekly_low_2
candle_range_pct_0 = (candle_range_0 / weekly_close) * 100
candle_range_pct_1 = (candle_range_1 / weekly_close_1) * 100
candle_range_pct_2 = (candle_range_2 / weekly_close_2) * 100
// Check if all 3 candles are small
small_candle_0 = candle_body_pct_0 <= small_candle_pct
small_candle_1 = candle_body_pct_1 <= small_candle_pct
small_candle_2 = candle_body_pct_2 <= small_candle_pct
all_candles_small = small_candle_0 and small_candle_1 and small_candle_2
// Average candle body size
avg_candle_body = (candle_body_pct_0 + candle_body_pct_1 + candle_body_pct_2) / 3
avg_candle_range = (candle_range_pct_0 + candle_range_pct_1 + candle_range_pct_2) / 3
// ===========================
// CALCULATE TIGHTNESS
// ===========================
// Find highest and lowest of last 3 weekly closes
highest_close = math.max(weekly_close, weekly_close_1, weekly_close_2)
lowest_close = math.min(weekly_close, weekly_close_1, weekly_close_2)
// Calculate range percentage
close_range_pct = ((highest_close - lowest_close) / lowest_close) * 100
// Check if within tightness range
is_tight = close_range_pct <= tightness_pct
// ===========================
// CHECK PROXIMITY TO EMAs
// ===========================
// Distance from EMAs
dist_from_ema10_pct = math.abs((weekly_close - weekly_ema10) / weekly_ema10) * 100
dist_from_ema20_pct = math.abs((weekly_close - weekly_ema20) / weekly_ema20) * 100
// Near EMA conditions
near_ema10 = dist_from_ema10_pct <= ema_proximity_pct
near_ema20 = dist_from_ema20_pct <= ema_proximity_pct
near_any_ema = near_ema10 or near_ema20
// ===========================
// COMBINED SIGNAL (with small candles filter)
// ===========================
tightness_signal = is_tight and near_any_ema and all_candles_small
// ===========================
// PLOT EMAs
// ===========================
plot(show_ema10 ? weekly_ema10 : na, "10 Week EMA", color=color.new(color.blue, 0), linewidth=2)
plot(show_ema20 ? weekly_ema20 : na, "20 Week EMA", color=color.new(color.orange, 0), linewidth=2)
// ===========================
// PLOT SIGNALS
// ===========================
// Background color when tight and near EMA
bgcolor(show_signals and tightness_signal ? color.new(color.green, 90) : na, title="Tightness Signal")
// Plot signal markers
plotshape(show_signals and tightness_signal and not tightness_signal ,
title="Tightness Start",
location=location.belowbar,
color=color.new(color.green, 0),
style=shape.triangleup,
size=size.small,
text="TIGHT")
// ===========================
// DISPLAY TABLE
// ===========================
var table info_table = table.new(position.top_right, 2, 9,
border_width=1,
border_color=color.gray,
frame_width=1,
frame_color=color.gray)
if barstate.islast
// Header
table.cell(info_table, 0, 0, "Weekly Analysis", bgcolor=color.new(color.gray, 70), text_color=color.white, text_size=size.normal)
table.cell(info_table, 1, 0, "Status", bgcolor=color.new(color.gray, 70), text_color=color.white, text_size=size.normal)
// Average candle body size
candle_color = all_candles_small ? color.new(color.green, 85) : color.new(color.red, 85)
table.cell(info_table, 0, 1, "Avg Candle Body", bgcolor=candle_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 1, str.tostring(avg_candle_body, "#.##") + "%", bgcolor=candle_color, text_color=color.white)
// Small candle threshold
table.cell(info_table, 0, 2, "Small Candle <", bgcolor=color.new(color.gray, 90), text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 2, str.tostring(small_candle_pct, "#.#") + "%", bgcolor=color.new(color.gray, 90), text_color=color.white)
// 3 Week Close Tightness
tight_color = is_tight ? color.new(color.green, 85) : color.new(color.red, 85)
table.cell(info_table, 0, 3, "3W Close Range", bgcolor=tight_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 3, str.tostring(close_range_pct, "#.##") + "%", bgcolor=tight_color, text_color=color.white)
// Tightness threshold
table.cell(info_table, 0, 4, "Threshold", bgcolor=color.new(color.gray, 90), text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 4, "<" + str.tostring(tightness_pct, "#.#") + "%", bgcolor=color.new(color.gray, 90), text_color=color.white)
// Distance from 10W EMA
ema10_color = near_ema10 ? color.new(color.blue, 85) : color.new(color.gray, 85)
table.cell(info_table, 0, 5, "From 10W EMA", bgcolor=ema10_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 5, str.tostring(dist_from_ema10_pct, "#.##") + "%", bgcolor=ema10_color, text_color=color.white)
// Distance from 20W EMA
ema20_color = near_ema20 ? color.new(color.orange, 85) : color.new(color.gray, 85)
table.cell(info_table, 0, 6, "From 20W EMA", bgcolor=ema20_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 6, str.tostring(dist_from_ema20_pct, "#.##") + "%", bgcolor=ema20_color, text_color=color.white)
// Near EMA status
near_ema_color = near_any_ema ? color.new(color.green, 85) : color.new(color.red, 85)
near_ema_text = near_any_ema ? "✓ NEAR" : "✗ Far"
table.cell(info_table, 0, 7, "Near EMA", bgcolor=near_ema_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 7, near_ema_text, bgcolor=near_ema_color, text_color=color.white)
// Combined signal
signal_color = tightness_signal ? color.new(color.lime, 70) : color.new(color.gray, 85)
signal_text = tightness_signal ? "🎯 SETUP!" : "No Setup"
table.cell(info_table, 0, 8, "SIGNAL", bgcolor=signal_color, text_color=color.white, text_halign=text.align_left, text_size=size.large)
table.cell(info_table, 1, 8, signal_text, bgcolor=signal_color, text_color=color.white, text_size=size.large)
// ===========================
// ALERTS
// ===========================
alertcondition(tightness_signal and not tightness_signal ,
title="Tightness Setup Alert",
message="Weekly setup detected: Small candles, tight closes, near EMA!")
BigMeesh_TBZ_EMA_BB3 EMAs + BB. This indicator is for my TBZ traders. It gives you the Bollinger bands and 3 EMAs that are all editable.
Larry Williams Short-Term Swing (LWS)automated swing trading using larry williams
it identifies swing highs and swing lows while excluding volatility moves like outside or inside bars.
Can be used effectively by combining the indicator on 2 time frames and taking entry on smaller time frame when the signals allign
Sakalau02 (10 Sessions)Market Sessions – 10 Customizable Sessions
This indicator plots up to 10 fully customizable market sessions directly on the chart.
Each session can be individually configured with its own time range, color, and label, and is displayed as a dynamic box that automatically tracks the session high and low.
Features
Up to 10 fully customizable trading sessions
Individual session time, color, and name customization
Automatic session high / low tracking
UTC-based session logic with optional weekend filtering
Clean and lightweight visual design for intraday analysis
Well suited for ICT / Smart Money Concepts (SMC) trading
Designed for flexibility and clarity, this indicator allows traders to adapt session analysis to their own trading style while keeping the chart clean and easy to read.






















