Custom EMA Stack + Signals AiWhat your script does (in plain English)
• Plots EMA 8, 21, 50, 100, 200 with toggles to show/hide each one.
• Generates a BUY label when:
• EMA 8 crosses above EMA 50
• AND EMA 50 is above EMA 200 (bullish environment filter)
• Generates a SELL label when:
• EMA 8 crosses below EMA 50
• AND EMA 50 is below EMA 200 (bearish environment filter)
This is a simple trend‑filtered crossover system.
Göstergeler ve stratejiler
Tabla de EMA's y TimeframesGraphic and permanent representation of the trend of an action/CFD/stock/crypto, directly related to the technical analysis of its EMA's.
Institutional Zone Detector [Scalping-Algo]█ OVERVIEW
The Institutional Zone Detector identifies key supply and demand zones where large market participants (institutions, banks, hedge funds) have likely placed significant orders. These zones often act as powerful support and resistance levels, making them strategic areas for trade entries and exits.
This indicator is non-repainting, meaning once a signal appears on your chart, it will never disappear or change position. What you see in backtesting is exactly what you would have seen in real-time.
█ CORE CONCEPT
Markets move when large players execute substantial orders. These orders leave footprints in the form of specific candlestick patterns:
Demand Zones (Bullish)
When institutions accumulate positions, we often see a bearish candle followed by a strong bullish sequence. The last bearish candle before this move marks the demand zone - an area where buying pressure overwhelmed sellers.
Supply Zones (Bearish)
When institutions distribute positions, we typically see a bullish candle followed by a strong bearish sequence. The last bullish candle before this move marks the supply zone - an area where selling pressure overwhelmed buyers.
Price has a tendency to revisit these zones, offering potential trade opportunities.
█ HOW IT WORKS
The indicator scans for:
1. A potential zone candle (bearish for demand, bullish for supply)
2. A sequence of consecutive candles in the opposite direction
3. Optional: A minimum percentage move to filter weak signals
When all conditions are met, the zone is marked on your chart with:
• Upper and lower boundaries (solid lines)
• Equilibrium/midpoint level (cross marker)
• Extended channel lines for easy visualization
█ SETTINGS
Consecutive Candles Required (Default: 5)
Number of same-direction candles needed after the zone candle to confirm the pattern. Higher values = fewer but stronger signals.
Minimum Move Threshold % (Default: 0.0)
Minimum percentage price movement required to validate a zone. Increase this to filter out weak moves and focus on significant institutional activity.
Display Full Candle Range (Default: Off)
• Off: Shows Open-to-Low for demand zones, Open-to-High for supply zones
• On: Shows complete High-to-Low range of the zone candle
Show Demand/Supply Zone Channel (Default: On)
Toggle extended horizontal lines that project the zone levels across your chart.
Visual Theme (Default: Dark)
Choose between Dark (white/blue) or Light (green/red) color schemes.
Show Statistics Panel (Default: Off)
Displays a floating panel with exact price levels of the most recent zones.
Display Info Tooltip (Default: Off)
Shows an information label with indicator documentation.
█ HOW TO USE
Entry Strategies
1. Zone Bounce (Mean Reversion)
• Wait for price to return to a previously identified zone
• Look for rejection candles (pin bars, engulfing patterns) at zone levels
• Enter in the direction of the original zone (long at demand, short at supply)
• Place stops beyond the zone boundary
2. Zone Break (Momentum)
• When price breaks through a zone with strong momentum
• The broken zone often becomes the opposite type (broken demand becomes supply)
• Use for trend continuation trades
3. Equilibrium Trades
• The midpoint (cross marker) often acts as a magnet for price
• Can be used as a first target or as an entry point for scaled positions
Risk Management
• Always place stop-loss orders beyond zone boundaries
• Consider the zone width when calculating position size
• Wider zones = wider stops = smaller position size
• Use the equilibrium level for partial profit taking
Best Practices
• Higher timeframes produce more reliable zones
• Zones on multiple timeframes (confluence) are stronger
• Fresh/untested zones are more powerful than zones that have been touched multiple times
• Combine with other analysis methods (trend direction, volume, market structure)
█ ALERTS
Two alert conditions are available:
• "Demand Zone Identified" - Triggers when a new demand zone is detected
• "Supply Zone Identified" - Triggers when a new supply zone is detected
To set up alerts: Click on the indicator name → Add Alert → Select condition
█ IMPORTANT NOTES
• This indicator is a tool for analysis, not a complete trading system
• Signals are NOT automatic buy/sell recommendations
• Always use proper risk management
• Past performance does not guarantee future results
• Works on all markets and timeframes
• Non-repainting: Signals appear only after bar close confirmation
█ ACKNOWLEDGMENTS
Inspired by institutional order flow concepts and smart money trading methodologies. Built with a focus on reliability and practical application.
TTC box v2
# HTF Candle Structure & CISD Indicator
---
## █ HTF Candle Structure (C2, XC2, C4, XC4)
### Overview
A systematic framework for classifying HTF (Higher Time Frame) candle states to analyze market structure.
### Concept
| Term | Description |
|------|-------------|
| **C2** | HTF Sweep formation candle |
| **XC2** | C2 structure invalidated (broken) |
| **C4** | Continuation candle following C2 |
| **XC4** | C4 structure invalidated (broken) |
When a bearish C4 is invalidated, it converts into an xC4, and directional bias must be taken into account. In most cases, price moves to target the opposing liquidity
This framework helps determine HTF candle structure and confirms whether the Bullish/Bearish narrative is progressing well on the LTF (Lower Time Frame).
### Options
- **Previous HTF Mid-Range Display**: Shows High, Low, and Open prices along with STDV (Standard Deviation) levels to identify manipulation ranges.
Additionally, I anticipate the manipulation range using the external range of the newly developed STDV
---
## █ CISD (Change in State of Delivery)
### Overview
CISD is an ICT concept that allows for **early detection of reversal signals** compared to traditional market structure analysis. This script accurately identifies CISD levels, updates them in real-time, and provides alerts.
### Concept
CISD occurs when price **closes above (or below)** the **Open** of the candle that initiated the most recent downtrend (or uptrend).
> **Example**: During a downtrend, if the closing price breaks above the open of the last consecutive bearish candle → Bullish CISD confirmed
### Options
| Option | Description |
|--------|-------------|
| **LIQ Touch Marker** | CISD formed after touching liquidity displays a triangle (▲/▼) on candle close, indicating higher reliability |
| **STDV Levels** | Displays standard deviation from CISD. 2~2.5σ suggests retracement/manipulation zones, 4~4.5σ suggests distribution zones |
---
## █ FVG & iFVG (Fair Value Gap)
### Overview
| Term | Description |
|------|-------------|
| **FVG** | Evidence of order imbalance in the market |
| **iFVG** | FVG that has flipped to the opposite meaning |
### Concept
1. Strong rally → Bullish FVG forms
2. Price holds above FVG, then drops and fully breaks below
3. Price retests the FVG and reacts as resistance → Downtrend continues
4. At this point, the FVG becomes an **iFVG**
### Options
| Option | Description |
|--------|-------------|
| **iFVG Only** | Display only converted iFVGs |
| **FVG + iFVG** | Touched FVGs extend, shown only within CISD range. Extended mode suits PDA usage; default mode suits entries |
---
## █ Additional Options
### Alert & MTF Table
- **Table**: Displays CISD status across 3m, 5m, 15m, 30m, 1H, 4H, 1D, 1W, 1M timeframes
- **Alert**: Triggers when all 4 short-term timeframes (3m, 5m, 15m, 30m) align in the same direction
- Useful for identifying short-term directional bias
### LIQ Level
- Displays High/Low levels alongside user-defined swing points
- **Auto Mode**: Bullish CISD → Shows High levels / Bearish CISD → Shows Low levels
- Options to fade or delete on sweep
- Used with STDV to identify **Delivery Targets**
---
█ Disclaimer
This indicator was developed for educational purposes only. It is designed to help traders understand and apply ICT concepts such as CISD, HTF candle structure, and Fair Value Gaps.
This is not financial advice. Trading involves significant risk, and past performance does not guarantee future results. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions.
For questions, feedback, or collaboration inquiries, please feel free to reach out.
All-in-One CVD: Failed Auction + Trap + Flow Classifications All-in-One CVD : Failed Auction/Trap + Flow Classifications (Colored Bars)
Description:
This script provides an advanced order flow and delta-based trading visualization designed to highlight key market microstructure events in real time. It combines Cumulative Volume Delta (CVD), failed auction detection, absorption tracking, continuation signals, and trap identification into a single, coherent tool with colored bars and visual markers. Unlike standard volume or trend-following indicators, this script focuses on aggressive order flow and price acceptance/rejection events, making it particularly suitable for scalping, intraday momentum trading, and identifying high-probability short-term setups.
Originality and Purpose:
Many scripts either show CVD or detect failed auctions separately, but this script integrates multiple advanced flow concepts into one indicator.
By combining CVD, normalized delta, strong delta thresholds, failed auctions, absorption, traps, and continuation patterns, traders can identify where aggressive buying or selling is being absorbed, where price is likely to continue, and where traps are forming.
The mashup is intentional: each component validates the other. For example, a failed auction signal without absorption is less significant, while a failed auction coinciding with absorption signals a true high-probability trap or reversal.
Failed auctions typically align with "Failed 2" patterns from The Strat by Rob Smith, providing additional confirmation using a well-established price action methodology.
How It Works:
Volume and Delta Calculation:
Computes buying and selling pressure from volume and bar structure (high/low/close).
Supports UltraData mode for enhanced volume calculations using security data.
Options for Cumulative Mode: Total, Periodic, or EMA-based CVD.
Normalized Delta and Strong Delta Detection:
Calculates normalized delta (z-score) to standardize flow across different volatility regimes.
Flags strong buying or selling when delta exceeds user-defined thresholds.
Failed Auction Detection:
Highlights bars where price attempted to break previous highs/lows but failed to sustain, signaling trapped aggressive participants.
True failed auctions can coincide with absorption for higher-probability setups.
Absorption:
Detects situations where strong aggressive flow is absorbed at key levels, showing institutional participation or liquidity consumption.
Bullish absorption occurs when aggressive buying is absorbed at previous lows; bearish absorption occurs when aggressive selling is absorbed at previous highs.
Flow Classification:
Continuation: Aggressive flow accepted by the market — often the next candle continues in the direction of the delta.
Important: A single continuation signal does not guarantee follow-through. Traders should view it as an indicator that aggressive participants are in control for the current candle, and consider market context, trend, and support/resistance before assuming continuation. Multiple consecutive continuation signals or confirmation with absorption/strong delta increases reliability.
Trap: Aggressive flow trapped — the market reverses after failed auction.
Absorption: Aggressive orders absorbed — market shows hesitation at tested levels.
Colored CVD Bars and Visual Markers:
Bars colored green/red/gray based on delta direction.
Visual markers indicate flow state: circles for continuation, X-cross for traps, triangles for absorption.
Works in real time — live candles are updated with flow state markers.
Alerts:
Custom alert conditions for each flow type: continuation, trap, and absorption.
Alerts provide actionable signals for automated monitoring or manual trading.
Trading Applications:
Trap Trading: Identify aggressive buyers/sellers who fail to push price and get trapped. Use trap signals to fade reversals.
Continuation Trading: Detect market acceptance of aggressive flow for trend-following or breakout strategies. Use caution: a single continuation signal indicates probability, not certainty, and should be confirmed with structural context.
Absorption Analysis: Spot where institutional participants absorb liquidity before a potential directional move.
Intraday Scalping: Combines delta, volume, failed auction logic, and Strat alignment for high-frequency setups.
Key Notes:
True failed auctions with significant market impact require absorption — otherwise, a simple failed attempt may be a weak signal.
The script works across multiple markets (Forex, Crypto, Stock) and supports live bar updates.
Users can adjust strong delta thresholds, period lengths, and cumulative modes to fit their preferred trading style or volatility regime.
Conclusion:
This all-in-one script provides traders with a comprehensive, visually intuitive, and real-time method to detect aggressive flow, failed auctions, absorption, and continuation patterns. By linking failed auctions to The Strat’s failed 2 patterns, and clarifying the probabilistic nature of continuation signals, it merges advanced delta analytics with proven price action methodology, making it highly original, actionable, and educational for understanding market order flow dynamics.
Nested SMA WaveThe "Nested SMA Wave" is a custom Pine Script (v5) indicator for TradingView that overlays a series of 8 Simple Moving Averages (SMAs) on the price chart. These SMAs use exponentially increasing lengths based on powers of 2, starting from a user-defined base length (default: 25). This creates lengths like 25, 50, 100, 200, 400, 800, 1600, and 3200.
Each SMA is plotted in a distinct color, forming a "wave" of nested lines that fan out from short-term (faster, more responsive) to long-term (slower, smoother). Semi-transparent colored fills (shaded zones) are added between consecutive SMAs, with customizable toggles and transparency levels, creating layered visual bands that highlight the spaces between different trend timescales.
Use Cases
Multi-Timeframe Trend Visualization: The power-of-2 nesting approximates higher timeframe trends on lower timeframes without switching charts. Shorter SMAs react quickly to price changes, while longer ones show major trends, helping identify overall market structure at a glance.
Support/Resistance Identification: Price interacting with the SMA lines or shaded zones can act as dynamic support/resistance. Crossovers between nested SMAs signal potential momentum shifts.
Trend Strength and Alignment: When SMAs are widely spaced and aligned (e.g., all sloping up), it indicates strong trends. Converging or crossing SMAs suggest consolidation or reversals. The shaded zones add depth, making expansions/contractions in volatility or trend power visually obvious.
Ribbon-Style Trading: Similar to moving average ribbons, traders can look for price pulling back to inner zones for entries in the direction of the broader "wave," or use zone breaks for signals.
Customization for Different Assets/Timeframes: Adjust the base length (e.g., smaller for crypto volatility, larger for stocks) and toggle shades to reduce clutter.
This creates a visually rich, rainbow-like overlay that's particularly useful for trend-following strategies on any chart.
Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset.
The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input.
Key Features
Asset-specific seasonal windows (MMDD-based)
Automatic long and short activation
Fully time-based entries and exits
One position at a time (no pyramiding)
Clean chart visualization using subtle background shading
No indicators, no filters, no curve fitting
Philosophy:
This strategy is designed as a structural trading tool, not a forecasting model.
It focuses on when a market historically shows seasonal tendencies — not why or how far price might move.
Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions.
Intended Use:
Futures and commodity markets
Seasonality research and testing
Systematic, calendar-driven strategies
Educational and analytical purposes
Disclaimer
This script is provided for educational and research purposes only.
Past seasonal tendencies do not guarantee future performance.
Risk management, position sizing, and portfolio decisions are the responsibility of the user.
SISU levels✔ Previous Day High
✔ Previous Day Low
✔ Previous Day Mid
✔ Asia Session High
✔ Asia Session Low
✔ London Session High
✔ London Session Low
✔ Midnight Open (12:00 AM EST)
✔ NYSE Opening Print (9:30 AM EST)
✔ Daily Open Print (6:00 PM EST)
Supertrend, by ParagonSignalsThis indicator implements a trend-following overlay with flow-conditioned preprocessing, regime conditioning, and explicit signal lifecycle governance.
Input engineering (flow-conditioned baseline):It replaces raw price with an engineered baseline designed to capture effective directionality modulated by relative participation.
The internal signal is kept robust and stable via robust scaling, outlier clipping, and a finite-memory integrator to mitigate structural drift.
Trend engine (SuperTrend on engineered series): It computes SuperTrend on the engineered baseline, shifting the trend logic from pure price to a more stable representation of directional pressure and reducing sensitivity to single-bar noise.
Regime conditioning: It estimates a continuous tradeability index (0–1) combining directional efficiency, relative volatility expansion, and return-sign stability.
This index governs the system’s aggressiveness.
Signal governance (stateful execution proxy): It maintains a discrete LONG/SHORT/FLAT state with dynamic TTL, cooldown, persistence-gated flips, and degradation-based exits—enforcing hysteresis and exposure control in adverse regimes.
Relative to a classic SuperTrend (fixed parameters and binary logic), this design adds context awareness, signal quality gating, and lifecycle management, with the intent of reducing whipsaw and formalizing entry/exit behavior under uncertainty.
Hope you enjoy this SuperTrend—consider it a free, research-oriented release.
The methodology reflects professional quant practice—robust preprocessing, regime conditioning, and signal governance—features typically reserved for paid toolkits.
Research-grade release, provided as-is: no edge promised, no warranty, no liability — validate statistically and manage risk accordingly.
Disclaimer: This indicator is for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy, sell, or trade any asset. Trading involves risk and you may lose part or all of your capital. You are solely responsible for your decisions.
Volume Expansion vs 20-Day AverageThis indicator compares the current bar’s volume with the average volume of the previous 20 periods.
It highlights moments of volume expansion, where trading activity exceeds its recent norm, often associated with increased participation, momentum, or institutional interest.
The indicator is designed to be used as a filter, not a standalone signal. It is particularly useful for confirming breakouts, momentum setups, or avoiding low-quality trades during low-liquidity conditions.
Volume thresholds can be adjusted to require a minimum multiple of the average volume, allowing traders to focus only on meaningful volume surges.
jitwealth
This indicator is built to help traders understand the next day market view clearly before the session starts. It focuses on identifying whether the market is likely to be sideways or trending, bullish or bearish, and whether the current price is in a trading zone or a non-trading zone.
What This Indicator Helps You See
Next Day Market Bias: clear bullish, bearish, or neutral view
Market Nature:
Sideways vs trending conditions
Trading Zones:
Trading zone → higher participation and better opportunity
Non-trading zone → low conviction, avoid overtrading
Key Price Levels:
Multiple support and resistance levels for structure and targets
How It Helps Traders
Improves pre-market planning
Avoids trading during low-probability zones
Builds patience and discipline by defining where to trade and where not to trade
Useful for intraday and short-term tradersUse R levels as potential resistance/targets and S levels as demand/bounce zones
Best For
Index & stock intraday trading
Pre-market planning using Next Day CPR
Identifying structure, bias, and objective targets
Entropy Balance Oscillator [JOAT]
Entropy Balance Oscillator - Chaos Theory Edition
Overview
Entropy Balance Oscillator is an open-source oscillator indicator that applies chaos theory concepts to market analysis. It calculates market entropy (disorder/randomness), balance (price position within range), and various chaos metrics to identify whether the market is in an ordered, chaotic, or balanced state. This helps traders understand market regime and adjust their strategies accordingly.
What This Indicator Does
The indicator calculates and displays:
Entropy - Measures market disorder using return distribution analysis
Balance - Price position within the high-low range, normalized to -1 to +1
Lyapunov Exponent - Estimates sensitivity to initial conditions (chaos indicator)
Hurst Exponent - Measures long-term memory in price series (trend persistence)
Strange Attractor - Simulated attractor points for visualization
Bifurcation Detection - Identifies potential regime change points
Chaos Index - Combined entropy and volatility score
Market Phase - Classification as CHAOS, ORDER, or BALANCED
How It Works
Entropy is calculated using return distribution:
calculateEntropy(series float price, simple int period) =>
// Calculate returns and their absolute values
// Sum absolute returns for normalization
// Apply Shannon entropy formula: -sum(p * log(p))
float entropy = 0.0
for i = 0 to array.size(returns) - 1
float prob = math.abs(array.get(returns, i)) / sumAbs
if prob > 0
entropy -= prob * math.log(prob)
entropy
Balance measures price position within range:
calculateBalance(series float high, series float low, series float close, simple int period) =>
float range = high - low
float position = (close - low) / (range > 0 ? range : 1)
float balance = ta.ema(position, period)
(balance - 0.5) * 2 // Normalize to -1 to +1
Lyapunov Exponent estimates chaos sensitivity:
lyapunovExponent(series float price, simple int period) =>
float sumLog = 0.0
for i = 1 to period
float ratio = price > 0 ? math.abs(price / price ) : 1.0
if ratio > 0
sumLog += math.log(ratio)
lyapunov := sumLog / period
Hurst Exponent measures trend persistence:
H > 0.5: Trending/persistent behavior
H = 0.5: Random walk
H < 0.5: Mean-reverting behavior
Signal Generation
Phase changes and extreme conditions generate signals:
Chaos Phase: Normalized entropy exceeds chaos threshold (default 0.7)
Order Phase: Normalized entropy falls below order threshold (default 0.3)
Extreme Chaos: Entropy exceeds 1.5x chaos threshold
Extreme Order: Entropy falls below 0.5x order threshold
Bifurcation: Variance exceeds 2x average variance
Dashboard Panel (Top-Right)
Market Phase - Current phase (CHAOS/ORDER/BALANCED)
Entropy Level - Normalized entropy value
Balance - Current balance reading (-1 to +1)
Chaos Index - Combined chaos score percentage
Volatility - Current price volatility
Lyapunov Exp - Lyapunov exponent value
Hurst Exponent - Hurst exponent value
Chaos Score - Overall chaos assessment
Status - Current market status
Visual Elements
Entropy Line - Main oscillator showing normalized entropy
Entropy EMA - Smoothed entropy for trend reference
Balance Area - Filled area showing balance direction
Chaos/Order Thresholds - Horizontal dashed lines
Lyapunov Line - Step line showing Lyapunov exponent
Strange Attractor - Circle plots showing attractor points
Phase Space - Line showing phase space reconstruction
Phase Background - Background color based on current phase
Extreme Markers - X-cross for extreme chaos, diamond for extreme order
Bifurcation Markers - Circles at potential regime changes
Input Parameters
Entropy Period (default: 20) - Period for entropy calculation
Balance Period (default: 14) - Period for balance calculation
Chaos Threshold (default: 0.7) - Threshold for chaos phase
Order Threshold (default: 0.3) - Threshold for order phase
Lyapunov Exponent (default: true) - Enable Lyapunov calculation
Hurst Exponent (default: true) - Enable Hurst calculation
Strange Attractor (default: true) - Enable attractor visualization
Bifurcation Detection (default: true) - Enable bifurcation detection
Suggested Use Cases
Identify market regime for strategy selection (trend-following vs mean-reversion)
Watch for phase changes as potential trading environment shifts
Use Hurst exponent to assess trend persistence
Monitor chaos index for volatility regime awareness
Avoid trading during extreme chaos phases
Timeframe Recommendations
Best on 1H to Daily charts. Chaos metrics require sufficient data for meaningful calculations.
Limitations
Chaos theory concepts are applied as analogies, not rigorous mathematical implementations
Lyapunov and Hurst calculations are simplified approximations
Strange attractor visualization is conceptual
Bifurcation detection uses variance as proxy
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Advanced Footprint Analysis1. ABSORPTION = BEST ENTRY SIGNALS
When BTC hits support and shows bullish absorption:
You know big money is buying
Price won't fall further (supply absorbed)
Risk/reward is optimal (tight stop below absorption)
Win rate on these setups is 70-80%
2. EXHAUSTION = REVERSAL TIMING
Catches exact moment selling/buying pressure is exhausted
No more guessing "is the dip over?"
Volume confirms the reversal
3. IMBALANCES = CONTINUATION TRADES
Stacked imbalances show trend strength
Enter pullbacks in strong trends
Avoid counter-trend trades when imbalance is strong
4. DELTA DIVERGENCE = EARLY WARNING
Cumulative delta rising but price flat = accumulation (buy setup)
Cumulative delta falling but price rising = distribution (sell setup)
This divergence appears BEFORE price moves
5. FILTERS OUT NOISE
Crypto has tons of fake volume and wash trading
By requiring volume to be significantly above average (2x, 3x), you ignore the noise
Only trade when institutions are active
6. WORKS ON ALL CRYPTO PAIRS
BTC, ETH, SOL - same patterns
Especially powerful on perpetual futures (more volume data)
PRACTICAL 5M CRYPTO ALGO STRATEGY:
LONG ENTRY:
Wait for bullish absorption OR bullish exhaustion
Confirm with positive stacked imbalances (3 bars)
Enter when price breaks above absorption high
Stop below absorption low
Target: 2-3x risk or next resistance
SHORT ENTRY:
Wait for bearish absorption OR bearish exhaustion
Confirm with negative stacked imbalances
Enter when price breaks below absorption low
Stop above absorption high
Target: 2-3x risk or next support
FILTER:
Only trade in direction of cumulative delta trend
Avoid when volume is below average (no institutional activity)
Multi-Asset Cycles with SMTMulti-Asset Cycles SMT Indicator v6.1
Detects Smart Money Technique (SMT) divergences across three correlated assets (default: NQ, ES, YM) during intraday cycles.
Features:
Cycle Types: Quarters (90min), Sessions (Asia/London/NY AM/NY PM), Daily, Weekly
SMT Detection: Tracks High, Low, and Close divergences between assets
Customizable Display: Choose which SMT types to show (Bearish High/HC, Bullish Low/LC)
Multi-Cycle Analysis: Compare current cycle against up to 3 past cycles
Auto-Detection: Automatically shows lines only for the current asset chart
Smart Alerts: Individual alert controls for each SMT type
Clean Visualization: Maximum 2 lines per cycle with labeled comparisons
How It Works:
The indicator tracks extremes across cycles and detects when assets diverge (one makes higher high while another makes lower high = bearish SMT). Lines connect the extreme points with labels showing which cycles are being compared.
Settings:
Select cycle type and assets to track
Enable/disable specific SMT types
Choose how many past cycles to check for divergences
Customize line colors, widths, and styles
Configure alerts per SMT type
Perfect for ICT traders tracking smart money divergences across index futures.
Monthly Financial Liquidity Proxy Seasons 2.0The Skylark Digital Assets Monthly Financial Liquidity Proxy (FLP) — Seasons 2.0 converts a long-horizon liquidity signal into a clean, regime-based seasonal map that helps identify where markets likely sit in the broader liquidity cycle.
Core signal: A monthly composite liquidity proxy, normalized so diverse markets can be combined into a single, comparable oscillator.
Smoothing layer: A 12-month EMA is used to reduce noise and emphasize durable regime shifts.
Season regimes (EMA-based):
Winter (Blue): EMA ≤ 49 → tighter liquidity / risk-off tendency.
Spring (Yellow): EMA 50–59 → improving liquidity / transition regime.
Summer (Green): EMA ≥ 60 → abundant liquidity / risk-on tendency.
Fall (Red): triggers on 3 consecutive declining EMA months, only if EMA is ≥ 50 → late-cycle cooling/rollover behavior.
Anti-“blip” logic (Seasons 2.0): A new season is only recognized after it persists for at least 3 months, filtering out 1-month regime flickers.
Visual backfill: Once a season is confirmed (month #3), the script visually backfills the prior months so the regime appears from the start of the run—without changing the underlying confirmation rule.
Net: Monthly FLP Seasons 2.0 is a cycle-context tool—built to highlight durable liquidity regimes and transitions, not to overreact to short-term noise.
Multi-Timeframe Highs & LowsThis indicator plots the previous period high and low levels for multiple timeframes: Yearly, Monthly, Weekly, Daily, 4H, 1H, and 15M.
Key features:
Automatically detects and draws horizontal lines at the high and low of the completed previous period for each selected timeframe.
Lines extend into the future by a user-defined number of bars.
Option to end the line extension when price wicks through the level (high broken upward or low broken downward).
When a level is broken, the line stops at the breaking bar and the label moves to the midpoint, positioned slightly above the high or below the low for clearer visibility.
Individual toggles to show or hide each timeframe independently.
Auto-hides levels when viewing the chart on the same timeframe (e.g., daily levels hidden on daily chart).
Configurable line style (solid, dotted, dashed), label font size, and extension length.
Built-in alert conditions for each individual level (14 total): triggers once when price wicks through any previous high or low, with clear messages identifying the specific timeframe and direction broken.
Useful for identifying potential support/resistance zones based on prior period extremes across multiple timeframes directly on the price chart, with real-time alerts on liquidity sweeps.
777yurrp, gemini made ts, i love making indicators with ai, in 15 minutes man its easy ash to be honest, try it yourself ;), i have to type something here
Skylark Digital Assets Daily FLP SnapshotThe Skylark Digital Assets Daily Financial Liquidity Proxy (Daily FLP) is a snapshot-style indicator designed to track the market’s current liquidity tone using a single standardized daily reading.
What it measures: A daily composite “liquidity impulse”—whether conditions are broadly tightening or easing across key global risk and rate benchmarks.
How it’s built (high level): It blends multiple major markets into one equal-weighted composite, using a normalized momentum framework so very different assets can be compared on the same scale.
Why “snapshot-safe”: The daily value is computed as a stable daily print (one clean value per day), so it avoids noisy intraday flicker and stays consistent when viewed on different chart timeframes.
How to interpret it:
Higher readings generally align with easier financial conditions / risk-on regimes.
Lower readings generally align with tighter conditions / risk-off regimes.
The Daily FLP is most useful for regime context, not as a standalone trade trigger.
How it’s used: As a macro timing and risk-management overlay—a way to contextualize positioning, confirm broader market shifts, and monitor transitions from tightening to easing (and vice-versa).
QQQ Daily Levels V2 (GateKept Trading)QQQ Daily Levels V2 (GateKept Trading) is a daily structure and execution-level overlay built exclusively for the GateKept Trading community, designed to standardize how members read QQQ behavior around the same key level functions every session. Users input the day’s prices (as lines or zones), and the indicator plots them cleanly from the 9:00am ET anchor with on-chart behavior tags that explain what each level typically does (e.g., pull, stall, defend, accelerate, or exhaust) without predictions or trade language. The visual hierarchy makes the most important boundaries instantly obvious, collision rules prevent duplicate meanings at the same price, and optional price-scale markers ensure your daily levels are always visible on the right scale for fast, clutter-free decision-making.
Skylark Digital Assets Monthly Financial Liquidity IndexThe Monthly Financial Liquidity Proxy (FLP) is a standardized, oscillator-style measure of broad financial conditions. Seasons 2.0 is the public-facing framework that translates the FLP into four regime “seasons” to help describe where liquidity sits within a recurring cycle.
What “Seasons 2.0” does
Converts the monthly FLP into a clear regime map (Winter / Spring / Summer / Fall).
Uses explicit thresholds + persistence rules to reduce noise and avoid one-month regime “blips.”
Designed for macro framing and cycle context (not a single-indicator trading system).
SPY Daily Permission Levels V2 (GateKept Trading)SPY Daily Levels V2 (GateKept Trading) is a precision-built market structure and permission indicator designed exclusively for the GateKept Trading community. It defines SPY’s key control points that govern market tone and behavior — from regime confirmation to exhaustion. Each level is intentionally simplified and visually intuitive: 🟦 Market Switchpoint (risk-on/risk-off pivot), 🟥 Market Cap (rally stall zone), 📌 Market Pin (momentum slowdown point), ⚠️ Market Failure (speed trigger), and 🟣 Market Exhaustion (extension risk area). This script does not predict direction — it clarifies where control shifts occur so traders can read market intent with zero clutter and full authority.
