Volume Orderblock Breakout v3.6this is indicator that shows long short siganl and tp lines can be checked.
you can get profit by this forever.
we can win over whales
keep going don't give up!!!
Indicatori e strategie
RCI4linesRCI4lines plots four Rank Correlation Index (RCI) lines in a single panel to help you read momentum and trend conditions at a glance.
It shows two short-term RCIs (default: 7 and 9), a middle-term RCI (26), and a long-term RCI (52).
The script also draws shaded threshold zones between +80 to +95 and -80 to -95, making it easier to spot potential overbought / oversold areas and compare short-term moves with the bigger trend.
Useful for scalping to day trading, and for checking whether short-term momentum is aligned with mid/long-term direction.
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME
Density Zones (GM Crossing Clusters) + QHO Spin Flips
OVERVIEW
This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements*
1) Density Zones (GM Crossing Clusters)
A “Density Zone” is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly “snapping” across an equilibrium boundary—high churn, high decision pressure, and repeated re-selection of direction.
2) QHO Spin Flips (Regression-Residual σ Breaches)
A “Spin Flip” is detected when price deviates beyond a configurable σ-threshold (κ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling.
These two systems are related but not identical:
- Density Zones identify where equilibrium crossings cluster (a “singularity”/anchor behavior around GM).
- Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance.
CORE CONCEPTS AND FORMULAS
SECTION A — GEOMETRIC MEAN EQUILIBRIUM (GM)
We define two moving averages:
(1) MA1_t = SMA(close_t, L1)
(2) MA2_t = SMA(close_t, L2)
We define the equilibrium anchor as the geometric mean of MA1 and MA2:
(3) GM_t = sqrt( MA1_t * MA2_t )
This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high “equilibrium churn.”
SECTION B — CROSS EVENTS (UP/DOWN)
A “cross event” is registered when the sign of (close - GM) changes:
Define a sign function s_t:
(4) s_t =
+1 if close_t > GM_t
-1 if close_t < GM_t
s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips)
Then define the crossing event indicator:
(5) crossEvent_t = 1 if s_t != s_{t-1}
0 otherwise
Additionally, the indicator plots explicit cross markers:
- Cross Above GM: crossover(close, GM)
- Cross Below GM: crossunder(close, GM)
These provide directional visual cues and match the original Geometric Mean Indicator behavior.
SECTION C — DENSITY MEASURE (CROSSING CLUSTER COUNT)
A Density Zone is based on the number of cross events occurring in the last W bars:
(6) D_t = Σ_{i=0..W-1} crossEvent_{t-i}
This is a “crossing density” score: how many times price has toggled across GM recently.
The script implements this efficiently using a cumulative sum identity:
Let x_t = crossEvent_t.
(7) cumX_t = Σ_{j=0..t} x_j
Then:
(8) D_t = cumX_t - cumX_{t-W} (for t >= W)
cumX_t (for t < W)
SECTION D — DENSITY ZONE TRIGGER
We define a Density Zone state:
(9) isDZ_t = ( D_t >= θ )
where:
- θ (theta) is the user-selected crossing threshold.
Zone edges:
(10) dzStart_t = isDZ_t AND NOT isDZ_{t-1}
(11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1}
SECTION E — DENSITY ZONE BOUNDS
While inside a Density Zone, we track the running high/low to display zone bounds:
(12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t
(13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t
On dzStart:
(14) dzHi_t := high_t
(15) dzLo_t := low_t
Outside zones, bounds are reset to NA.
These bounds visually bracket the “singularity span” (the churn envelope) during each density episode.
SECTION F — QHO EQUILIBRIUM (REGRESSION CENTERLINE)
Define the regression equilibrium (LSR):
(16) m_t = linreg(close_t, L, 0)
This is the “centerline” the QHO system uses as equilibrium.
SECTION G — RESIDUAL AND σ (FIELD WIDTH)
Residual:
(17) r_t = close_t - m_t
Rolling standard deviation of residuals:
(18) σ_t = stdev(r_t, L)
This σ_t is the local volatility/width of the residual field around the regression equilibrium.
SECTION H — NORMALIZED DISPLACEMENT AND SPIN FLIP
Define the standardized displacement:
(19) Y_t = (close_t - m_t) / σ_t
(If σ_t = 0, the script safely treats Y_t = 0.)
Spin Flip trigger uses a user threshold κ:
(20) spinFlip_t = ( |Y_t| > κ )
Directional spin flips:
(21) spinUp_t = ( Y_t > +κ )
(22) spinDn_t = ( Y_t < -κ )
The default κ=3.0 corresponds to “3σ excursions,” which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal).
SECTION I — QHO BANDS (OPTIONAL VISUALIZATION)
The indicator optionally draws the standard σ-bands around the regression equilibrium:
(23) 1σ bands: m_t ± 1·σ_t
(24) 2σ bands: m_t ± 2·σ_t
(25) 3σ bands: m_t ± 3·σ_t
These provide immediate context for the Spin Flip events.
WHAT YOU SEE ON THE CHART
1) MA1 / MA2 / GM lines (optional)
- MA1 (blue), MA2 (red), GM (green).
- GM is the equilibrium anchor for Density Zones and cross markers.
2) GM Cross Markers (optional)
- “GM↑” label markers appear on bars where close crosses above GM.
- “GM↓” label markers appear on bars where close crosses below GM.
3) Density Zone Shading (optional)
- Background shading appears while isDZ_t = true.
- This is the period where the crossing density D_t is above θ.
4) Density Zone High/Low Bounds (optional)
- Two lines (dzHi / dzLo) are drawn only while in-zone.
- These bounds bracket the full churn envelope during the density episode.
5) QHO Bands (optional)
- 1σ, 2σ, 3σ shaded zones around regression equilibrium.
- These visualize the current variance field.
6) Regression Equilibrium (LSR Centerline)
- The white centerline is the regression equilibrium m_t.
7) Spin Flip Markers
- A circle is plotted when |Y_t| > κ (beyond your chosen σ-threshold).
- Marker size is user-controlled (tiny → huge).
HOW TO USE IT
Step 1 — Pick the equilibrium anchor (GM)
- L1 and L2 define MA1 and MA2.
- GM = sqrt(MA1 * MA2) becomes your equilibrium boundary.
Typical choices:
- Faster equilibrium: L1=20, L2=50 (default-like).
- Slower equilibrium: L1=50, L2=200 (macro anchor).
Interpretation:
- GM acts like a “center of mass” between two moving averages.
- Crosses show when price flips from one side of equilibrium to the other.
Step 2 — Tune Density Zones (W and θ)
- W controls the time window measured (how far back you count crossings).
- θ controls how many crossings qualify as a “density/singularity episode.”
Guideline:
- Larger W = slower, broader density detection.
- Higher θ = only the most intense churn is labeled as a Density Zone.
Interpretation:
- A Density Zone is not “bullish” or “bearish” by itself.
- It is a condition: repeated equilibrium toggling (high churn / high compression).
- These often precede expansions, but direction is not implied by the zone alone.
Step 3 — Tune the QHO spin flip sensitivity (L and κ)
- L controls regression memory and σ estimation length.
- κ controls how extreme the displacement must be to trigger a spin flip.
Guideline:
- Smaller L = more reactive centerline and σ.
- Larger L = smoother, slower “field” definition.
- κ=3.0 = strong extreme filter.
- κ=2.0 = more frequent flips.
Interpretation:
- Spin flips mark when price exits the “normal” residual field.
- In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium.
Step 4 — Read the combined behavior (your key thesis)
A) Density Zone forms (GM churn clusters):
- Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope.
- dzHi/dzLo show the envelope range.
B) Expansion occurs:
- Price can release away from the density envelope (up or down).
- If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > κ).
C) Re-coherence:
- After a spin flip, price often returns toward equilibrium structures:
- toward the regression centerline m_t
- and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior.
- The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes.
IMPORTANT NOTES / DISCLAIMERS
- This indicator is an analytical overlay. It does not provide financial advice.
- Density Zones are condition states derived from GM crossing frequency; they do not predict direction.
- Spin Flips are statistical excursions based on regression residuals and rolling σ; markets have fat tails and non-stationarity, so σ-based thresholds are contextual, not absolute.
- All parameters (L1, L2, W, θ, L, κ) should be tuned per asset, timeframe, and volatility regime.
PARAMETER SUMMARY
Geometric Mean / Density Zones:
- L1: MA1 length
- L2: MA2 length
- GM_t = sqrt(SMA(L1)*SMA(L2))
- W: crossing-count lookback window
- θ: crossing density threshold
- D_t = Σ crossEvent_{t-i} over W
- isDZ_t = (D_t >= θ)
- dzHi/dzLo track envelope bounds while isDZ is true
QHO / Spin Flips:
- L: regression + residual σ length
- m_t = linreg(close, L, 0)
- r_t = close_t - m_t
- σ_t = stdev(r_t, L)
- Y_t = r_t / σ_t
- spinFlip_t = (|Y_t| > κ)
Visual Controls:
- toggles for GM lines, cross markers, zone shading, bounds, QHO bands
- marker size options for GM crosses and spin flips
ALERTS INCLUDED
- Density Zone START / END
- Spin Flip UP / DOWN
- Cross Above GM / Cross Below GM
SUMMARY
This indicator treats the Geometric Mean as an equilibrium boundary and identifies “Density Zones” when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers “Spin Flips” when price makes statistically extreme σ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (σ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
RS vs Indexes By Shashi MishraRS vs Indexes giving details about strength of the sripts against the TIDE which is indexes that you can follow , for example small cap index 100 / 250
Basit BUY SELL//@version=5
indicator("Basit Yeşil Al - Kırmızı Sat", overlay=true)
// Mum renkleri
yesil = close > open
kirmizi = close < open
// Yeşil mumda AL oku
plotshape(yesil, title="AL", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.large, text="AL")
// Kırmızı mumda SAT oku
plotshape(kirmizi, title="SAT", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large, text="SAT")
Absorption BubblesSUMMARY
This indicator visualizes absorption events by plotting bubbles on candle wicks where volume activity suggests one side of the market is absorbing the other’s pressure. Instead of raw volume, the script normalizes activity against a rolling standard deviation defined by the Lookback Period. Bubbles appear on upper or lower wicks depending on whether buyers or sellers are absorbing pressure. The goal is to highlight whether aggressive orders are being accepted or absorbed at key price points.
METHODOLOGY
Absorption occurs when one side of the market absorbs aggressive orders from the other, preventing continuation. The script measures normalized volume against a user‑defined threshold to filter out weaker signals.
Green bubbles on upper wicks → Selling absorption (buyers push price up, sellers absorb the buying).
Red bubbles on lower wicks → Buying absorption (sellers push price down, buyers absorb the selling).
Red‑colored bars highlight candles where large volume is concentrated inside the body, signifying aggressive selling activity.
Green‑colored bars highlight candles where large volume is concentrated inside the body, signifying aggressive buying activity.
The Lookback Period controls how many bars are used to calculate the rolling standard deviation of volume, letting traders adjust sensitivity to recent vs. longer‑term activity. Optional significant volume lines extend forward, marking areas where absorption was strongest.
FUNCTIONS
Normalized volume detection using rolling standard deviation
Adjustable Lookback Period for volume normalization
Dynamic bubble plotting on candle wicks (size scales with absorption strength)
Separate visualization for buying vs. selling absorption
Alerts for buying absorption, selling absorption, or any absorption event (only at bar close)
Bar coloring when large absorption occurs inside candle bodies
APPLICATION
Setup: Add the script to any chart and timeframe. Adjust the Absorption Threshold to filter out weaker bubbles and the Lookback Period to control how volume normalization is calculated. Red bubbles highlight buying absorption, often signalling potential price pivots - price can often go upwards from this. Green bubbles mark selling absorption, reflecting resistance to upward moves - price may go downwards from this.
Interpretation:
Green bubbles on upper wicks = sellers absorbing buying pressure.
Red bubbles on lower wicks = buyers absorbing selling pressure.
Larger bubbles = stronger absorption relative to recent volume.
Settings & Use:
Raising the Absorption Threshold filters out smaller bubbles, leaving only significant absorption events.
Changing the Lookback Period alters how “normal” volume is defined — shorter periods make the script more sensitive, longer periods smooth out noise.
Alerts can be set for buying absorption, selling absorption, or any absorption event, and they only trigger at bar close to avoid noise.
Slope Failure (Momentum Stall) STRATEGY//======================================================================================
// SLOPE FAILURE (MOMENTUM STALL) STRATEGY
//--------------------------------------------------------------------------------------
// WHAT THIS STRATEGY DOES
// -----------------------
// This strategy trades **momentum failure**, not trend direction.
//
// Instead of predicting where price will go, it detects when **momentum can no longer
// continue in its current direction** and briefly fades that failure.
//
// Core idea:
// - Momentum expands → slope grows
// - Momentum stalls → slope collapses or flips
// - That stall represents **state transition**, not noise
//
// The system exploits these transitions repeatedly at short horizons.
//
//--------------------------------------------------------------------------------------
// HOW MOMENTUM IS MEASURED
// ------------------------
// 1. Source price (optionally smoothed)
// 2. First derivative (slope = price - price )
// 3. Optional smoothing of the slope itself
//
// The slope represents **instantaneous directional force**, not trend bias.
//
//--------------------------------------------------------------------------------------
// ENTRY LOGIC (SLOPE FAILURE)
// ---------------------------
// • Bull Slope Failure (SHORT):
// - Prior slope was sufficiently positive
// - Current slope collapses to zero or below
// → Upward momentum failed → enter SHORT
//
// • Bear Slope Failure (LONG):
// - Prior slope was sufficiently negative
// - Current slope rises to zero or above
// → Downward momentum failed → enter LONG
//
// Optional:
// - Minimum slope band can be enforced to avoid weak/noisy failures
//
//--------------------------------------------------------------------------------------
// EXIT LOGIC
// ----------
// Primary exits are **force-based**, not price-based:
//
// • Longest Slope Local Turn (optional):
// - Detects when the strongest slope in a recent window has occurred
// - Exits when momentum starts decaying from that extreme
//
// • Percent Stop Loss (optional):
// - Fixed % protection relative to entry price
//
// The strategy does NOT rely on profit targets.
// Winners are exited when **momentum decays**, not when price "looks good".
//
//--------------------------------------------------------------------------------------
// POSITION SIZING
// ---------------
// This strategy supports **percent-of-equity sizing**, computed dynamically:
//
// position size = (account equity × % allocation) / price
//
// This allows:
// - P&L to scale smoothly
// - Drawdowns to remain proportional
// - The same logic to work across symbols and account sizes
//
//--------------------------------------------------------------------------------------
// STRATEGY CHARACTERISTICS
// ------------------------
// • High trade count
// • Win rate near ~45–50%
// • Small, fast losers
// • Slightly larger winners
// • Very low drawdown
//
// This profile is intentionally designed for **scalability**, not prediction.
//
//--------------------------------------------------------------------------------------
// IMPORTANT NOTES
// ---------------
// • This is NOT a trend-following strategy
// • This is NOT a mean-reversion guess
// • This is a momentum **state-transition detector**
//
// The edge comes from structure + exits + sizing — not indicators.
//
//======================================================================================
Magical Thirteen Turns - The Greedy SnakeThe number 9 appears:
Meaning: Warning signal. The rise may encounter resistance and a cautious pullback is about to begin.
Operation: Consider reducing your holdings (selling a portion) to lock in profits and avoid experiencing wild fluctuations.
The number 13 appears:
Meaning: Strong sell signal. The upward momentum is likely to be exhausted, which is also known as "bull exhaustion".
Operation: It is recommended to liquidate your positions or significantly reduce them. Short sell (if you are trading contracts).
Hammer/Inv Hammer + ema and other settings + stratok, so thrown everything at this one as the previous only had longs.
so we have all the options, but main feature is the ema to divide up the longs and short, shorts above, longs below, we all know price ends up back to the ema at some point.
I have added a volume filter, this calculates the average volume from the last "20" candles (which can be adjusted) then when a hammer appears it has to be larger than the average volume to be valid.
Also added trading hours in, if you are switching between RTH and ETH it can cause issue if it enters a position EOD then you get an anomaly trade as we can hold positions past certain times.
Also added some trading strategy, so after 2 wins it wont trade again that day or after 1 loss. you decide.
So much to play with now.
SB - RSI EW OscillatorAdd EW with RSI.
Makes sense take a call if RSI is above 50 and EW turns green and vice versa.
Hicham tight/wild rangeHere’s a complete Pine Script indicator that draws colored boxes around different types of ranges!
Main features:
📦 Types of ranges detected:
Tight Range (30–60 pips): Gray boxes
Wild Range (80+ pips): Yellow boxes
ALT Risk Strategy with Fear & Greed + ISM PMI📊 Overview
This advanced crypto trading strategy combines multiple macro indicators to identify optimal buy and sell zones for altcoins. It tracks the relationship between altcoin performance versus Bitcoin (ALT/BTC pairs) while incorporating broader market sentiment and economic data to generate risk-adjusted entry and exit signals.
🎯 Core Methodology
Base Risk Metric (65% weight):
MACD Momentum (5%): Normalized trend strength on weekly ALT/BTC pair
RSI (60%): Relative strength indicating overbought/oversold conditions
Price Deviation (35%): Distance from 150-period moving average
Fear & Greed Index (20% weight):
Analyzes market sentiment using multiple factors:
Price momentum and rate of return
Money flow and volume analysis
Volatility metrics (crypto: BVOL24H, traditional: VIX)
Dominance indicators (crypto: BTC.D, traditional: Gold)
Two modes: Crypto-focused or Traditional markets
Customizable smoothing and weighting
US ISM PMI Integration (15% weight):
Manufacturing economic indicator (contraction vs expansion)
PMI < 50 = Economic weakness = Better crypto buying opportunities
PMI > 50 = Economic strength = Risk-on environment
Configurable offset to lead/lag the signal
Daily data smoothed over customizable period
💰 Trading Logic
Tiered Buy System:
Level 1 (Risk < 70): Initial entry with conservative amount
Level 2 (Risk < 50): Double down as risk decreases
Level 3 (Risk < 30): Maximum accumulation at extreme lows
All purchases customizable by dollar amount
Tiered Sell System:
Level 1 (Risk > 70): Take partial profits (default 25%)
Level 2 (Risk > 85): Continue scaling out (default 35%)
Level 3 (Risk > 100): Final exit (default 40%)
Sells reset when new buys occur (can re-accumulate)
⚙️ Key Features
Multi-Asset Support: ETH, SOL, ADA, LINK, UNI, XRP, DOGE, AVAX, MATIC, RENDER, or custom
Exchange Selection: Works with Binance, Coinbase, Kraken, Bitfinex, Bybit
3Commas Integration: Optional webhook alerts for automated bot trading
Visual Risk Zones: Color-coded indicator (green/lime/yellow/orange/red/maroon)
Real-time Info Table: Displays current risk metric, F&G index, PMI value, weights, and position status
Flexible Weighting: Adjust influence of each component (Base/F&G/PMI)
Weekly Timeframe: Reduces noise and focuses on macro trends
📈 Use Cases
DCA Strategy: Dollar-cost averaging with intelligent timing
Swing Trading: Catching major market cycles (weeks to months)
Risk Management: Exit before major downturns, enter during fear
Macro Trading: Align crypto positions with economic conditions
Bot Automation: Connect to 3Commas for hands-free execution
🎓 Credits & Attribution
Original Concept & Base Risk Metric:
Inspired by community-developed ALT/BTC risk oscillators
Fear & Greed methodology adapted from crypto market sentiment research
Enhancements & Integration:
ISM PMI integration and weighting system
Multi-indicator combination framework
Tiered buy/sell logic with reset mechanism
3Commas webhook integration
Development:
Primary Development: Claude AI (Anthropic)
Collaboration & Testing: User feedback and iteration
Pine Script Implementation: TradingView v5
⚠️ Disclaimer
This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Cryptocurrency trading involves substantial risk of loss. Always conduct your own research and consider your risk tolerance before trading. The strategy uses lagging indicators (weekly timeframe) which may not react quickly to sudden market changes.
🔧 Recommended Settings
For better performance than default conservative settings:
Increase buy amounts: Try $50/$75/$100 for more meaningful positions
Adjust thresholds: Consider 40/60/80 for more frequent entries
Test different weights: Experiment with F&G and PMI influence
Optimize for your asset: Different cryptos may require different parameters
Version: 1.0
Last Updated: December 2025
Compatible With: TradingView Pine Script v5
Impulse %Impulse % — Liquidation Cascade Detector (BTC · 1H)
Impulse % identifies sharp impulsive price moves and liquidation cascades by measuring how much a candle’s range deviates from its historical average in percent.
How it works
Calculates the candle range (in %) relative to price and compares it to the average over N periods.
When the range exceeds the upper band, an Impulse is detected.
Inside each 1H candle, the indicator checks lower timeframes (1m / 5m) to classify the impulse phases:
PANIC — the first minutes of a violent move (forced liquidations, stop hunts).
CAUTION (Cascade) — continuation and “cleanup” phase with elevated risk.
Determines whether the impulse is against the trend using EMA 50 / EMA 200 — the most dangerous scenario.
Highlights risk zones to protect positions and filter new entries.
What it’s for
Avoid entering during liquidation cascades.
Exit at break-even or partially take profit during risky phases.
Recommended Settings — BTC (1H)
Calculation
Calculation TF: (empty = current)
Average Mode: By N bars
N (bars): 100
Range Type: High–Low
Bands
Upper Band (% of average): 130
Lower Band: Auto (same %)
Cascade (First Minutes)
Enable Cascade Filter: ON
When to trigger safety: Only against trend
PANIC (minutes): 3
CAUTION (minutes after PANIC): 15
Trend (EMA)
Use EMA Trend: ON
Fast EMA: 50
Slow EMA: 200
Lower TF Detection
Lower TF: 1m (or 5m if you prefer smoother signals)
Visualization
Style: Columns
Show Bands: ON
Show Band Lines & Mean: ON
How to read it (BTC · 1H)
Purple (PANIC): first minutes of liquidation — do not enter.
Yellow (CAUTION): cascade phase — high risk, manage/exit.
Normal color: no active cascade — strategy allowed.
Best practice:
1m/5m → real-time cascade detection
1H → decision level
4H → market context
3SPC Three Candle Price Action Setup3SPC (Three Candle Price Action Setup) is an open-source indicator designed to detect
a simple and clearly defined three-candle price action pattern.
The logic is based on the following structure:
• The first two candles move in the same direction (bullish or bearish).
• The third candle interacts with the real bodies of both previous candles,
which may indicate a short-term liquidity sweep or price reaction.
• A bullish setup is confirmed when price holds above the open of the first candle.
• A bearish setup is confirmed when price holds below the open of the first candle.
This script does not use oscillators or lagging indicators.
It is intended as a visual aid for discretionary traders and should be used
together with market context, risk management and higher timeframe analysis.
The script is published as open-source for educational and transparency purposes.
UI Labels Translation:
- نمایش ستاپ صعودی: Show bullish setups
- نمایش ستاپ نزولی: Show bearish setups
Session Highlighter with Kill Zones [Exponential-X]Session Highlighter with Kill Zones
Overview
This indicator provides comprehensive visualization of major forex trading sessions (Asian, London, and New York) with integrated kill zone detection and real-time session analytics. It helps traders identify optimal trading times by highlighting high-volatility periods and tracking session-specific price ranges.
What Makes This Original
While session indicators are common, this script uniquely combines several features that work together:
Kill Zone Integration: Highlights specific high-volatility windows within sessions (London: 02:00-05:00 EST, NY: 08:30-11:00 EST) when institutional activity typically peaks
Session Overlap Detection: Automatically detects and highlights when major sessions overlap (London-NY, Asian-London) with distinct visual cues
Real-Time Range Tracking: Calculates and displays percentage-based session ranges as they develop, not just historical data
Dynamic Statistics Dashboard: Live table showing current active session, session times, and comparative range percentages
Customizable Visual System: Flexible styling options including background shading, box overlays, and configurable line styles for session boundaries
How It Works
Session Detection Logic
The script uses timezone-normalized session detection based on EST/EDT times. It converts the current bar's timestamp to New York time and determines which session(s) are active using minute-based calculations. This approach ensures accurate session detection regardless of your chart's timezone settings.
Kill Zones
Kill zones represent periods within sessions when institutional traders are most active. The London kill zone (02:00-05:00 EST) captures pre-London open volatility, while the NY kill zone (08:30-11:00 EST) aligns with US economic data releases and market open activity.
Range Calculations
Session highs, lows, and opens are tracked from the first bar of each session and updated in real-time. Range percentages are calculated as: ((High - Low) / Low) × 100 , providing a volatility measure that's comparable across different instruments and price levels.
Visual System
Background shading: Color-coded zones for each session
Session boxes: Outline entire session ranges
H/L lines: Dynamic lines showing current session extremes
Open lines: Reference levels from session start
Overlap highlighting: Distinct colors when multiple sessions are active simultaneously
How to Use
Intraday Trading: Use kill zones to time entries during high-liquidity periods
Session Breakouts: Monitor for price breaks above/below session highs/lows
Range Trading: Trade between session boundaries during consolidation
Session Continuity: Observe how price behaves as sessions transition
Volatility Assessment: Compare current session ranges to typical values
Recommended Timeframes: Works on any timeframe, but most useful on 1m to 1H charts for intraday trading.
Settings Explained
Sessions Group
Toggle each major session on/off independently
Customize colors for visual clarity
Enable/disable overlap highlighting
Levels Group
Show/hide session high/low lines
Show/hide session open levels
Choose line styles (Solid/Dashed/Dotted)
Kill Zones Group
Toggle kill zone highlighting
Select which kill zones to display
Customize kill zone color intensity
Display Group
Show/hide statistics table
Show/hide session labels on chart
Important Notes
All times are displayed in EST/EDT
Session ranges reset at the start of each new session
Kill zones are session sub-periods, not separate sessions
Overlap colors override individual session colors when multiple sessions are active
The statistics table updates in real-time and shows percentage-based ranges for cross-instrument comparison
Session Times Reference
Asian Session: 19:00 - 04:00 EST (Tokyo open through early Sydney close)
London Session: 03:00 - 12:00 EST (Full European trading hours)
New York Session: 08:00 - 17:00 EST (US market hours)
London Kill Zone: 02:00 - 05:00 EST (Pre-London volatility spike)
NY Kill Zone: 08:30 - 11:00 EST (US open and news releases)
Alerts Available
The script includes six pre-configured alert conditions:
London Kill Zone start
NY Kill Zone start
London-NY Overlap start
Asian Session open
London Session open
NY Session open
Create alerts through TradingView's alert system to get notified when specific sessions or kill zones begin.
Disclaimer: This indicator is for informational purposes only. Session times and kill zones are based on typical market patterns but do not guarantee specific trading outcomes. Always use proper risk management.
Prev TF CLOSE EMA Box (Resets Every TF)⚙️ Key Features
✅ Custom reset timeframe (independent of chart TF)
✅ Uses previous CLOSED EMA (no lookahead)
✅ Box instead of line (clearer structure)
✅ Optional “disrespected → gray” logic
✅ Wick-based or close-based validation
✅ Works on futures, crypto, forex, equities
📈 How to Use
Treat the box as a dynamic support / resistance zone
Best used for:
Trend continuation
Mean reversion
Bias filtering (above = bullish, below = bearish)
When the box turns gray, the EMA level has lost structural validity
❗ Important Notes
This is not a signal indicator
No entries or exits are generated
Designed for context, bias, and structure
Combine with price action, liquidity, or session logic
🧩 Inputs Explained
Reset / EMA TF → timeframe used for EMA calculation & box reset
EMA Length → standard EMA length (default 9)
Box Height → thickness of the EMA zone
Disrespect Logic → optional invalidation behavior
Low Volume Pullback DetectorThis script incorporates the logic of Volume Price Analysis (VPA), identifying potential trend continuations by detecting pullbacks with decreasing volume.
###**Features:**1. **Trend Filtering:** Uses a 50-period EMA to ensure trades align with the dominant market direction.
2. **Structure Identification:** Detects recent highs and lows to confirm that price action is indeed a pullback within a trend.
3. **Volume Analysis:** Checks if the volume during the pullback is below the 20-period average, signaling a lack of conviction from counter-trend traders.
4. **Signal Generation:** Triggers a "Buy" or "Sell" signal when price breaks out of the pullback range, confirming momentum is returning in the direction of the trend.
5. **User Guide:** Detailed comments explaining the strategy, setup, trade execution, and best markets are included directly within the script for easy reference.
###**How to Use:*** **Setup:** Apply the script to a chart (works best on Stocks and Futures).
* **Identify Trend:** Ensure price is above (for Buy) or below (for Sell) the gray 50 EMA line.
* **Wait for Signal:** Look for the **"VOL DRY"** label. This appears when a low-volume pullback is followed by a breakout candle.
* **Execution:** Enter on the close of the signal candle. Set your Stop Loss below/above the pullback swing and target the previous structural high/low.
Volume Delta Divergence Candle ColorThis indicator identifies divergences between price action and volume delta, highlighting potential reversal or continuation signals by coloring candles when buyer/seller pressure conflicts with the candle's direction.
**How It Works:**
The indicator analyzes real-time up/down volume data to detect two types of divergences:
🟣 **Seller Divergence (Fuscia)** - Occurs when a candle closes bullish (green) but the volume delta is negative, indicating more selling pressure despite the upward price movement. This suggests weak buying or potential distribution.
🔵 **Buyer Divergence (Cyan)** - Occurs when a candle closes bearish (red) but the volume delta is positive, indicating more buying pressure despite the downward price movement. This suggests weak selling or potential accumulation.
**Features:**
✓ Colors only divergent candles - non-divergent candles maintain your chart's default colors
✓ Uses actual exchange volume delta data (works best with CME futures and other instruments with tick-level data)
✓ Optional triangle markers above/below divergent candles for quick visual identification
✓ Clean, minimal design that doesn't clutter your chart
**Best Used For:**
- Identifying potential reversals or continuations
- Spotting weak price movements that may not follow through
- Confirming price action with underlying volume pressure
- Works on any timeframe with available volume delta data
**Note:** This indicator requires volume data from exchanges that provide tick-level information (CME futures, cryptocurrency exchanges, etc.). Results may vary on instruments with limited volume data.
Weekend Asia High/Low Dots + Trading Window (UTC+1)**Weekend Asia High/Low Dots & Trading Window** is a lightweight TradingView indicator designed to **mark the exact Asia session extremes on weekends (Saturday & Sunday)** and highlight predefined **trading time windows** with maximum clarity and minimal chart clutter.
The indicator focuses on **precision, simplicity, and manual trading workflows**.
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### 🔍 Key Features
#### 🟢 Asia Session High & Low (Weekend Only)
* Tracks the **Asia session on Saturday and Sunday**
* Marks **exactly two points per session**:
* One dot at the **true wick high**
* One dot at the **true wick low**
* Dots are plotted **only once**, at the **end of the Asia session**
* **No lines, no boxes, no extensions** – just clean reference points
* Ideal for traders who prefer to **draw their own ranges manually**
#### 🟩 Trading Window Highlight
* Customizable **trading time windows** for Saturday and Sunday
* Displayed as a **clean outline box** (no background fill)
* Helps visually separate **range formation** from **active trading hours**
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### ⏰ Time Handling
* All session times are defined in **UTC+1**
* Uses a **fixed UTC+1 timezone** (`Etc/GMT-1`) for consistent behavior
* Easily adjustable to other timezones if needed
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### ⚙️ Customizable Inputs
* Asia session times (Saturday & Sunday)
* Trading session times (Saturday & Sunday)
* Optional trading window labels
* Easy point size adjustment directly in the code
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### 🎯 Use Cases
* Weekend trading (Crypto, Indices, Synthetic markets)
* Asia range analysis
* Manual range drawing & breakout planning
* Clean, distraction-free chart layouts
---
### 🧠 Who Is This Indicator For?
* Price action traders
* Range & session-based traders
* Traders who prefer **manual chart markup**
* Anyone trading **weekends with structured time windows**
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### 🛠 Technical Details
* Pine Script® **Version 6**
* Overlay indicator
* Optimized for clarity and performance
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If you want, I can also provide:
* a **short description** (1–2 lines for the TradingView header)
* **tags & keywords** for better discoverability
* or a **version with user-adjustable dot size via Inputs**
ZigZag++ UltraAlgo EditionLagging indicator used to understand trends and entry / exit points. Suggest using at 4h - 1d intervals first, then 1-2h, to identify zones of opportunities and validate your position.
PCR Put-Call Ratio//@version=5
indicator("PCR Put-Call Ratio", overlay=false, precision=4)
// Input parameters
pcrLength = input(20, "PCR Length", group="Settings")
maLength = input(5, "MA Length", group="Settings")
showOI = input(true, "Use Open Interest", group="Settings")
// Get PCR data from CBOE (requires daily data availability)
pcrData = request.security("CBOE:PC", "D", close)
// Calculate moving average of PCR
pcrMA = ta.sma(pcrData, maLength)
// Levels for interpretation
overbought = 1.2
oversold = 0.6
neutral = 0.9
// Plot PCR value
plot(pcrData, title="PCR Value", color=color.blue, linewidth=2)
plot(pcrMA, title="PCR MA", color=color.orange, linewidth=1)
// Add reference lines
hline(overbought, "Overbought (Bearish)", color.red, linestyle=hline.style_dashed)
hline(neutral, "Neutral", color.gray, linestyle=hline.style_dotted)
hline(oversold, "Oversold (Bullish)", color.green, linestyle=hline.style_dashed)
// Background coloring based on sentiment
bgColor = pcrData > overbought ? color.new(color.red, 80) :
pcrData < oversold ? color.new(color.green, 80) :
color.new(color.gray, 90)
bgcolor(bgColor)
Hammer Strategy (CLOSE ON NEXT BAR) [WORKING]Adjustable hammer and inverted hammer candle
Ham? INV? is the hammer
Entry on HAM, INV OR HAM?, INV? close next bar
