ALN Sessions Box Breakout — Auto- DSTDevoleper: Sheikh Rakib
What it does
This indicator draws session range boxes for Asia (Dhaka), London, and New York using each market’s own local time (DST-aware). After a session closes, it watches for the first close above the session high or below the session low and then marks that breakout once per session with clear chart markers and optional alerts.
Key features
Auto-DST, per-city timezones
London session uses Europe/London
New York session uses America/New_York
Asia session uses Asia/Dhaka
Your chart timezone doesn’t matter—the sessions track real local hours.
Clean range boxes with adjustable opacity and optional outlines.
Session labels that auto-center at the end of each session.
One-shot breakout signals per session:
Triangle up when price closes above the session high.
Triangle down when price closes below the session low.
Built-in alerts for: session starts and each breakout direction.
Inputs
London / New York / Asia (Dhaka)
Show Session: toggle each session on/off
Time Range: default London 08:00–17:00 (local), New York 08:00–17:00 (local), Asia 06:00–15:00 (Dhaka)
Colour: box color for each session
Settings
Show Session Labels
Show Range Outline
Opacity Preset: Dark / Medium / Light
(UTC Offset input is kept for display, not used in session detection.)
Visuals & alerts
Boxes extend from session open to close, continually updating the high/low.
When the session ends, the final high/low are locked in, the label is centered, and the indicator begins monitoring for a breakout.
Alerts
Session start: Asia/London/New York
Breakouts: “High Breakout” (close > high) and “Low Breakout” (close < low) for each session
Create alerts from the TradingView alert dialog and choose the desired alertcondition.
Logic notes (how signals fire)
While a session is open, its box grows to contain all highs/lows.
On the first bar after close, the script starts listening for a breakout:
Close > session high → one up signal (fires once)
Close < session low → one down signal (fires once)
When the next same session begins, internal flags reset and a new box starts—so signals are inherently scoped to the period between that session’s close and its next open.
Tips
Use on intraday timeframes (e.g., 1m–30m) for clearer box structure.
If you only want specific markets, toggle others off for a cleaner chart.
For systematic entries, combine with your trend/volatility filters and use the breakout alerts as triggers or confirmations—this script doesn’t place trades.
Disclaimer: Market timing and risk management are your responsibility. Past session behavior does not guarantee future performance.
Поиск скриптов по запросу "Cycle"
ALN Sessions Box — Auto- DSTDevoleper: Sheikh Rakib
What it does
Draws candle-synced high/low range boxes for the three major sessions—Asia (Dhaka view), London, and New York—on any timeframe. London and New York are DST-aware (times auto-shift on DST changes). Boxes update live with session high/low and close exactly on the session’s final bar.
Key features
Auto-DST: Uses Europe/London and America/New_York time zones, so session windows auto-adjust when DST turns on/off.
Asia (BDT) window: Default 06:00–15:00 Asia/Dhaka (no DST).
Candle-linked boxes: Top/bottom track session High/Low; right edge finalizes on the session end bar—clean breakout zones.
Clean UI: Optional labels, outline toggle, and three opacity presets (Dark/Medium/Light).
Plug & play: Drop in, customize colors/times, done.
Inputs you can tweak
Time Range (LOCAL) for each session
Defaults: Asia 06:00–15:00 (Asia/Dhaka), London 08:00–17:00 (Europe/London), New York 08:00–17:00 (America/New_York)
For equities, switch New York to 09:30–16:00—DST handling remains automatic.
Colour per session, Show Session Labels, Show Range Outline, Opacity Preset.
UTC Offset input is retained for compatibility but not used for session detection.
Quick BDT reference (for the default 08:00–17:00 local windows)
London → DST ON (BST): 13:00–22:00 BDT · DST OFF (GMT): 14:00–23:00 BDT
New York → DST ON (EDT): 18:00–03:00 BDT (next day) · DST OFF (EST): 19:00–04:00 BDT (next day)
Asia (Dhaka) → 06:00–15:00 BDT (no DST)
Tips
If you see dotted vertical lines, that’s TradingView Session breaks (Chart Settings → Appearance). Turn off if you prefer a cleaner view.
Some symbols don’t trade during parts of a session—adjust Time Range as needed.
Labels are placed inside the box; adjust opacity/colors to suit your theme.
A sharp, professional session map for spotting breakouts, reversals, and volatility windows at a glance.
24h Change Shows TF‑independent 24‑hour % change in the status line. The value is computed strictly on fixed 1‑minute data—last confirmed 1m close vs. the 1m close 1,440 minutes earlier—so changing chart timeframes does not affect the result. Updates once per minute; for best parity with an exchange, use the matching symbol/price type (Last vs. Mark/Index) and ensure ≥1,440 minutes of history.
Market Sessions — VerticalA clean visual guide to global market sessions.
This indicator plots vertical lines at the opening and closing times of the four major forex sessions:
London, New York, Tokyo, and Sydney.
Fully customizable — toggle each session on/off, choose separate colors for open/close, and enable/disable labels.
Supports both Local (auto-DST) and GMT (fixed) modes — switch between realistic market-clock times or the standardized UTC schedule used by most trading resources.
Helps you visually identify session overlaps (e.g., London–New York) where volatility typically increases.
Ideal for forex, indices, and commodities traders who trade around session opens.
Default session times (GMT mode):
Sydney 21:00 – 06:00 GMT
Tokyo 00:00 – 09:00 GMT
London 08:00 – 17:00 GMT
New York 13:00 – 22:00 GMT
Tip: Set Anchor times by → Local (auto-DST) if you want the lines to follow each region’s real-world daylight-saving adjustments automatically.
Clean, lightweight, and built for traders who want precise, minimal clutter — just the key time windows that move the market.
Session AlertsSession Alerts; be notified every time a new customizable session opens up; never miss your start!
Miggy Oscillator — NeoWave v7.4.3 Adaptive ProMiggy Oscillator — NeoWave v7.4.3 Adaptive Pro
Miggy Oscillator — NeoWave v7.4.3 Adaptive Pro is an adaptive market oscillator built to identify trend reversals, momentum exhaustion, and liquidity pivot zones across multiple timeframes.
It combines NeoWave-style wave phase detection, volatility-adjusted threshold bands, and contextual divergence logic to deliver reliable reversal signals for Scalp, Intraday, and Swing trading.
Key Concepts
This script introduces a custom wave-phase engine that estimates the current stage of market structure rather than simply combining existing indicators.
It uses asymmetric momentum smoothing and ATR-based volatility scaling to adapt naturally between calm and high-volatility environments.
Divergences are context-aware: they only trigger when both momentum inflection and wave-phase confirmation align, minimizing false signals common to classic RSI or MACD tools.
How It Works
Wave Phase Detection
Calculates the relative position of price within impulsive or corrective phases based on momentum deviation from a dynamic baseline.
Adaptive Threshold Bands
Expands or contracts automatically with real-time volatility to keep sensitivity consistent across different market regimes.
Divergence and Exhaustion Logic
Bullish divergence: price forms a lower low while the oscillator forms a higher low during a corrective phase.
Bearish divergence: price forms a higher high while the oscillator forms a lower high during an impulsive phase.
Exhaustion tags appear when the oscillator pierces an adaptive band and momentum slope weakens.
Mode System
Scalp Mode: high sensitivity, short reaction window.
Intraday Mode: balanced sensitivity and confirmation.
Swing Mode: slower reaction, wide filters for large-scale moves.
Optional Long-Only Bias
Filters out short setups to focus on bullish structures.
How to Use
Choose the operational mode based on your timeframe.
Monitor interactions between the oscillator and outer bands for possible exhaustion or divergence.
Confirm the signal using structure or candle confirmation.
Manage risk:
Tight stops for Scalp mode (1–5 min).
ATR-based stops for Intraday mode (5–30 min).
Structural stops for Swing mode (1H+).
For better accuracy, combine it with Miggy Wave AI or Miggy Fibonacci Matrix to find confluence zones.
Inputs and Customization
Mode Selector: Scalp / Intraday / Swing
Sensitivity Control
Band Multiplier (threshold width)
Divergence Confirmation Bars
Long-Only Option
Color Presets: Miggy Neon (default), Solana Glow, Arctic Pulse, or custom
Signal Labels On/Off
Alert Language: EN or ES
Alerts
Available alert conditions:
Bullish Reversal Detected
Bearish Reversal Detected
Momentum Exhaustion Near Band
Example alert text:
Miggy Oscillator — Bullish reversal detected (Mode: {mode})
Miggy Oscillator — Bearish reversal detected (Mode: {mode})
Miggy Oscillator — Momentum exhaustion near {upper/lower} band
Best Practices
Always confirm divergence with price structure or higher timeframe context.
Avoid taking counter-trend signals in strong trends without confirmation.
Adjust Band Multiplier or switch mode during extreme volatility.
Works on Crypto, Forex, Stocks, Indices, and Commodities.
Limitations
This is not an automated trading system.
It is a technical analysis tool intended to help visualize momentum imbalances and potential reversals.
Performance depends on market conditions and trader confirmation.
Versioning and License
Uses TradingView’s Update feature for improvements (no separate minor releases).
Any future legacy fork will be explained clearly in the description.
License: MIT (open source).
Developed by Miggy.io / Mr. Migraine — 2025.
Publication Compliance
English-only title and description.
No emojis or special characters.
Original adaptive algorithm with detailed explanation.
Clear usage instructions.
Suitable for a clean chart publication preview.
HAR-Z + OLS Residual + Impact stochastic indicators ibeqfpb wepgbwep gbipwbgw wqbgiwgbw ghbdns ,eltjv jjdhbnb p nj,j. xjve , yfv
Planetary Trading LevelsThis indicator gives nifty support and resistances based on planetary longitudes
DRACO DateTime Range Box — DELTA📘 Title
DRACO DateTime Range Box — Stable Δ (Fixed Bottom, Extend-Right)
🔹 Short Description
A single stable range box from a custom start date and time.
The box locks its bottom to the first candle’s low, expands the top to the highest high, and accumulates Bars / Volume / Net Δ (buyers vs sellers).
Anchored to time (xloc.bar_time) so it stays stable and does not drift when zooming.
🔹 Full Description
What it does
DRACO DateTime Range Box — Stable Δ draws one clean, session-like box between any two dates and times you choose.
The bottom is fixed to the first in-range candle’s low (never moves).
The top expands dynamically to the highest high within the range.
The indicator accumulates:
• Bars – total candle count
• Volume – summed traded volume
• Net Δ (delta) – buyers vs sellers dominance
All geometry is anchored by real time (xloc.bar_time), ensuring perfect stability during zooming or resizing.
Optional extend-right mode continues the high and low levels into the future as guide lines.
Typical Use Cases
Accumulation / distribution analysis within a fixed time window.
Identifying who dominated the period — buyers (+) or sellers (−).
Spotting large-scale range phases or institutional accumulation.
Using the extended high/low as future support/resistance reference.
Delta Calculation (Proxy)
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Each bar’s Δ is clamped between −Volume and +Volume.
This provides a lightweight approximation of order-flow delta without needing raw tick data.
🔹 How to Use
Select your preferred Time Zone (Exchange / UTC / Europe/London).
Choose a precise From Date & Time.
Optionally enable Use End Date/Time to fix the end of the range.
Turn on Extend High/Low to the Right if you want future S/R lines.
Observe the bottom label:
Bars | Volume | Net Δ (+/−) (Buyers or Sellers)
🔹 Key Inputs
Date & Time Range
Time Zone — controls timestamp alignment
From — start date and time
Use End Date/Time — optional fixed range end
Box Settings
Border Color / Fill Color while active
Extend High/Low to Right — continues levels beyond the current bar
Bottom Label
Displays live metrics (Bars / Volume / Net Δ)
Customizable text color, background, and size
🔹 Notes & Limitations
Δ here is an approximate proxy, not real order-flow.
For educational and analytical use only — not financial advice.
If the selected range has no candles, the box will not appear.
Refresh the chart after changing the time zone or From/To dates.
No FOMO! Trade only during ICT Macros**🚫 Crush FOMO. Trade ONLY during ICT's macro windows**
Tired of jumping into impulsive trades the moment price twitches? **No FOMO** paints your chart **blood-red** and slams a **giant 🚫 countdown** the instant you drift outside the **42-15 minute sweet spot** (or any custom intrahour rule you set).
- **Instant visual lockdown** – entire chart turns crimson between 16–41 min.
- **Loud alert on open/close** – push + sound so you never miss the gate.
- **One-click timezone picker** – EST, GMT, Tokyo… works globally.
- **Zero lag, lightweight** – runs on 1-min charts without slowing you down.
**Proven to kill revenge trades & over-trading in <7 days.**
Add to chart → watch discipline skyrocket.
*Free | Open-source | Works on every plan*
👉 **Tag a friend who needs this.**
LBR 3-10 PlusThe LBR 3-10 Oscillator identifies short-term momentum shifts by measuring the difference between a 3-period and 10-period moving average of price.
DSS Bressert by MaxCapDSS Bressert by MaxCap is an enhanced version of the Double Smoothed Stochastic (DSS) oscillator, originally developed by Robert Bressert.
It is designed to identify overbought/oversold market conditions and detect momentum shifts using a double-smoothing stochastic calculation.
⸻
⚙️ How It Works
This indicator applies a two-stage stochastic calculation with double exponential smoothing to reduce noise and provide smoother trend signals.
1. Phase 1 (MIT):
A standard stochastic is calculated over the selected Stochastic_period, measuring the current close relative to the high-low range.
This value is then smoothed using an exponential moving average (EMA).
2. Phase 2 (DSS):
A second stochastic is applied on the smoothed MIT line using the same stochastic period, followed by another EMA smoothing step.
The result is a smooth and responsive momentum oscillator that filters out market noise.
This double-smoothing technique allows DSS to remain responsive to price changes while avoiding false reversals that are common with the traditional stochastic.
⸻
🎨 Visualization
• The orange line represents the main DSS value.
• Blue dots appear when DSS is rising (bullish momentum).
• Red dots appear when DSS is falling (bearish momentum).
• The horizontal levels 20 and 80 mark oversold and overbought zones, respectively.
⸻
🧠 Signal Interpretation
• DSS > 80: Overbought zone — possible downward reversal.
• DSS < 20: Oversold zone — possible upward rebound.
• DSS rising after crossing above 20: Bullish signal.
• DSS falling after crossing below 80: Bearish signal.
• Color change (blue ↔ red) may indicate a momentum shift.
⸻
⚙️ Input Parameters
Parameter Description Default Value
EMA Period EMA smoothing period 8
Stochastic Period Period for stochastic calculation 13
⸻
💡 Advantages
• Smoother and more reliable than a standard stochastic.
• Reduces market noise and false signals.
• Accurately reflects real momentum shifts.
• Color-coded visualization for clearer signal reading.
⸻
Smart Money vs Retail (COT Flow) 0213Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
Moon Phases: 1st Quarter, Full, 3rd QuarterTracks the Lunar phase or Moon phase, which is the apparent shape of the Moon's day and night phases of the lunar day as viewed from earth.
Arb_Screener_v1Arb_Screener_v1 is a Pine Script indicator that monitors de-correlation (price spread) of perpetual futures across multiple exchanges—Binance, Bybit, Bitget, OKX, Gate, and MEXC—relative to the current chart symbol.
momentum spread strategy ilkerThis script is the opposite of a traditional mean-reversion pairs trading strategy. It is a "Cointegration Breakdown" or "Momentum Divergence" tool.
Instead of betting on a spread's Z-Score to revert to 0, this strategy is designed to identify when the statistical relationship (the "elastic band") has snapped. It then provides signals to trade with the momentum as the spread diverges.
It filters for true breakouts by waiting for a "Momentum Regime," which is confirmed only when the pair's relationship becomes statistically unstable.
## 📈 Key Features
1. The Momentum Regime (Blue Background)
This is the core of the indicator. The background turns BLUE to signal a "Momentum Regime". This is the only time you should look for a momentum trade.
The blue background activates only if TWO conditions are met simultaneously:
• 1. Relationship Instability: The pair's relationship is broken. This is confirmed when either the rolling Correlation Z-Score (purple line) breaks down OR the Volatility Ratio (orange line) becomes unstable.
• 2. Divergence Confirmation: The Half-Life calculation (from our v2.8 script) shows "N/A (Divergent)" in the dashboard. This mathematically confirms the mean-reverting force (\lambda) is gone (it has turned positive) and the spread is statistically diverging.
If the background is GRAY, the script is in a "Neutral" or "Mean-Reversion" state, and all momentum signals should be ignored.
2. Momentum Breakout Signals
This strategy inverts the Z-Score logic. The 0-line is not a profit target; it is the breakout line.
• BUY Signal (Blue Triangle ▲): Appears only if the background is BLUE and the Z-Score (blue line) crosses ABOVE 0. This is your long momentum entry.
• SELL Signal (Fuchsia Triangle ▼): Appears only if the background is BLUE and the Z-Score crosses BELOW 0. This is your short momentum entry.
3. Built-in Trade Management
• Take Profit (X Cross): Your profit target is the outer band. The script plots an 'X' when the Z-Score hits the +2.0 band (for longs) or the -2.0 band (for shorts).
• Stop Loss (X Cross): Your stop is a failure of the momentum. The script plots an 'X' if the Z-Score re-crosses the 0-line against your trade.
4. Full Quant Dashboard
All the statistical components are plotted for analysis:
• Price Z-Score (Blue Line): Your primary momentum indicator.
• Z-Score Correlation (Purple Line): Lets you visually confirm the correlation breakdown.
• Volatility Ratio (Orange Line): Lets you visually confirm the volatility spike.
• Half-Life Dashboard: Confirms the regime by showing "N/A (Divergent)".
## 🛠 How to Use (Required Setup)
IMPORTANT: This indicator is designed to run on a spread chart (e.g., M2K/MES or MGC/SIL).
1. Load your spread chart first (e.g., type M2K/MES in the ticker bar).
2. Add this indicator to the chart.
3. Go into the indicator's Settings (⚙).
4. In the "Inputs" tab, you MUST fill in the two individual tickers:
• Ticker du Symbole 1 (REQUIS): M2K
• Ticker du Symbole 2 (REQUIS): MES
5. The script uses these two inputs to calculate the Volatility and Correlation filters. The main Z-Score is calculated from the spread chart itself.
This tool is for traders who want to capture explosive divergence moves that happen during fundamental news or regime changes, while filtering out the "noise" of stable, mean-reverting periods.
Gold vs Bitcoin (2012=100)**Chart Description: Gold vs. Bitcoin Performance Index (2012=100)**
This chart presents a comparative analysis of the price performance of Gold and Bitcoin, indexed to a common baseline of 100 in the year 2012. This methodology allows for a direct and proportional comparison of their growth trajectories over the subsequent period.
The visualization pits Gold, the quintessential traditional store of value and a safe-haven asset for millennia, against Bitcoin, a decentralized digital currency that has emerged as a prominent new asset class, often referred to as "digital gold."
The indexed performance starkly illustrates the profound divergence in the assets' valuation paths since 2012. Gold's trajectory reflects its established role as a stable, low-volatility hedge against economic uncertainty, demonstrating modest and steady appreciation. In contrast, Bitcoin's path is characterized by exponential, albeit highly volatile, growth. This highlights its nature as a high-risk, high-reward asset, driven by factors such as network effects, technological adoption, and speculative interest.
Ultimately, this comparative view offers a powerful narrative on the shifting landscape of value storage and investment. It captures the disruptive potential of digital assets in the modern financial ecosystem and provides a clear illustration of the contrasting risk and return profiles between traditional and emerging safe-haven assets over the past decade.
Tech Magnat - Demande d'accèsDemande d'accès à l'indicateur tech Magnat (tracking masse monétaire sur titre avec balai de SMA)






















