StO Price Action - Daily Outside BarShort Summary
- Outside Bar indicator with multiple range calculation algorithms
- Highlights where the current range fully engulfs the previous
- Works with Daily candles in Daily, H4, and H1 timeframes only
- Highlights the current bar when it engulfs the previous bar according to the selected method
Full Description
Overview
- Identifies bars where the current period's range fully engulfs the prior period's range
- Offers three algorithms for defining the engulfing range:
- High/Low: uses absolute high and low values
- Open/Close: considers candle direction (bull/bear) and compares opens and closes
- Open/Close II: stricter version with exclusive inequalities for engulfing
- Engulfing behavior is detected automatically and highlighted for easy recognition
- Works on multiple markets but restricted to D, H4, and H1 charts for accuracy
Controls
- Year lookback (YLB) configurable to filter older bars
- Custom background color for highlighting Outside Bars
- Simple toggle interface with minimal chart clutter
Visual Representation
- Highlights engulfing bars with configurable background color
- Color transparency adjustable for clarity
Usage
- Use to identify strong market momentum or potential reversals
- Helps spot high-probability setups based on engulfing price action
Notes
- Only compatible with Daily, H4, and H1 timeframes
- Non-repainting: once an Outside Bar is drawn, it will not adjust retroactively
- Best used as a market structure reference not a direct trade signal
Indikatoren und Strategien
Dealer Control Index (DCI) Oscillator BreakoutsOverview
The Dealer Control Index (DCI) is a structural oscillator designed to measure market stability based on the relationship between price and key institutional "hedging levels" (Gamma Flip). Unlike momentum-based oscillators like RSI, the DCI focuses on Dealer Gamma Exposure—the point where market makers shift from supporting price (Long Gamma) to accelerating moves (Short Gamma).
How to Use
This indicator requires a Manual Anchor (Flip Level) to function with high precision. Users should identify the current institutional Gamma Flip level for their specific ticker and input it into the script settings.
Positive Score (+25 to +100): Price is above the Flip Level. Dealers are in a "Long Gamma" position, typically resulting in lower volatility and "dip-buying" behavior.
Neutral Zone (-75 to +25): The "Transition Zone." Price is fluctuating near the hedge-rebalancing point. Expect "choppy" price action.
The Gamma Trap (-75 to -100): Price has snapped significantly below the Flip Level. Dealers are now "Short Gamma" and may be forced to sell into further price drops to hedge their books, potentially creating a "Waterfall" effect.
Key Features
Volatility Normalized: Uses ATR-based normalization to ensure the -100 to +100 scale is consistent across different asset classes (e.g., comparing SPY to NVDA).
Sigmoid Smoothing: Employs a sigmoid curve to filter out "market noise" and provide a clear visual of when the regime shift is actually occurring.
Visual Regimes: Color-coded zones (Green/Red) provide instant feedback on the current dealer hedging bias.
EMA20-EMA50 Separation Impulse**EMA20–EMA50 Separation Impulse Indicator**
This indicator is a **trend phase classifier**, not a signal generator.
It evaluates the **structural quality of a trend** by measuring the separation between the EMA20 and EMA50, **normalized by ATR**. By using volatility-adjusted distance instead of raw price or percentage, it provides a robust and comparable measure across different instruments and timeframes.
### Key characteristics
* **Discrete states**, not a continuous oscillator
* **Independent from price scale** (displayed in a lower panel)
* **Contextual indicator**, not a timing tool
* **Fully backtestable without ambiguity**
### Logic
The indicator computes:
```
|EMA20 − EMA50| / ATR
```
Based on this normalized separation, each bar is classified into one of three market phases:
* **Green (State 1)**
Ordered trend. EMA structure is compact and stable.
The EMA-based pullback setup has a statistical edge.
* **Blue (State 2)**
Extended trend. Separation is increasing.
Edge is reduced. Trades require more selectivity or reduced position size.
* **Red (State 3)**
Overextended trend. EMAs are widely separated.
Pullbacks to EMA20 lose effectiveness. The setup has no edge.
### How to integrate it into an EMA-based system
This indicator should be used strictly as a **context filter**, not as an entry or exit trigger.
Typical integration rules:
* Allow long entries **only when State = 1 (Green)**
* Reduce position size or require stronger confirmation when State = 2 (Blue)
* Disable EMA pullback entries entirely when State = 3 (Red)
Used correctly, the indicator helps distinguish **when an EMA trend-following system is operating in its optimal environment**, and when market conditions degrade its expectancy.
It answers the question:
> *“Is this still a healthy trend for EMA pullback trading?”*
—not *“Should I buy or sell now?”*
AHR999 Index (Renewed)AHR999 Indicator
The AHR999 Indicator is created by a Weibo user named ahr999. It assists Bitcoin investors in making investment decisions based on a timing strategy. This indicator implies the short-term returns of Bitcoin accumulation and the deviation of Bitcoin price from its expected valuation.
When the AHR999 index is < 0.45, it indicates a buying opportunity at a low price.
When the AHR999 index is between 0.45 and 1.2, it is suitable for regular investment.
When the AHR999 index is > 1.2, it suggests that the coin price is relatively high and not suitable for trading.
In the long term, Bitcoin price exhibits a positive correlation with block height. By utilizing the advantage of regular investment, users can control their short-term investment costs, keeping them mostly below the Bitcoin price.
OiDeer (Session Map+Open+VWAP+PrevDay+VIX bands)Overview
Intraday context pack for NSE symbols that overlays Prev Close (official 15:30), Prev Day High/Low, Daily Open, 1st Candle Open, VWAP, an optional centered 100-point grid, and Expected High/Low bands derived from India VIX (Open).
It also computes remaining points to reach the expected bands for today (live) and for every historical session.
What it plots
Prev Close (yesterday 15:30 cash close) extended across today.
Prev Day High/Low extended across today.
Daily Open and Intraday 1st Candle Open (today only).
VWAP (session).
Expected High/Low from India VIX(Open) with optional √time intraday scaling.
Remaining points labels:
Today: points from today’s High → Exp High and today’s Low → Exp Low (also shown in Data Window).
Historical: for each completed day, points that were remaining from that day’s High/Low to its expected High/Low.
100-point centered grid (…00 levels by default; shift via Base Offset).
All labels are anchored at the session start bar (arrow on day boundary) with the label box rendered to the left so current candles stay unobstructed.
VIX math (expected move)
Daily σ: (VIX_open / 100) / √252.
Intraday option (today only): multiply by √(elapsed_minutes / 375).
Expected % move: k * daily_sigma * (√fraction if enabled).
Bands around reference S (choose Open, Prev Close, or Last):
ExpHigh = S + S * expected_pct
ExpLow = S - S * expected_pct
Historical sessions use that day’s VIX(Open) and reference S (no intraday scaling).
Inputs
Prev Close / PDH / PDL: show/hide, label toggles, colors, widths.
Daily/1st Candle Open, VWAP: show/hide; labels sit left of day start.
India VIX Bands: k (sigma), Reference Price (Open / Prev Close / Last), √time scaling toggle, colors, label toggles.
Remaining to Exp Bands: show labels, Clamp to 0 (no negatives), show in Data Window.
100-Point Grid: step, base offset, style, count above/below, color/width.
Label size control.
Data Window
Pts→Exp High (from Day High)
Pts→Exp Low (from Day Low)
Pts→Exp High (from Close)
Pts→Exp Low (from Close)
100pt lines ABOVE/BELOW (from current price)
Notes
Assumes NSE cash session 09:15–15:30 IST (375 min).
Prev Close uses official cash close at 15:30.
Designed for NSE symbols; India VIX source: NSE:INDIAVIX (Daily Open).
No alerts in this version.
Tips
Use k = 1.0 for ~1σ feel; try 1.5–2.0 for wider envelopes.
Open as reference is clean for intraday; Prev Close is gap-aware.
Turn on √time scaling if you prefer bands that widen through the day.
Disclaimer
For research and visualization only, not trading advice. Markets can exceed modeled ranges—use your own risk management.
VWAP Enhanced (Visual Feedback)This is the standard Volume-Weighted Average Price (VWAP) indicator, with the addition of an adjustable anchored time point. This modification aligns with the objective of analyzing price action relative to a specific subsequent event.
Combined Indicators V2 by DeepsageCombined Indicators V2 – Overview
Combined Indicators V2 is an advanced trading indicator that builds on Combined Indicators V1 by Deepsage and Weighted Market Screener by Deepsage. It is designed to provide precise signals for long and short trades on very low timeframes (1m–5m) while aligning entries with the overall market trend.
Background: The Original Indicators
1. Combined Indicators V1 (Deepsage)
Combines three specialized indicators to generate signals:
Breakout Indicator: Uses Bollinger Bands and volume behavior to identify potential breakout trades.
Price Action Indicator: Detects price interaction with support and resistance levels, incorporating trend, volatility, and candlestick patterns.
Range Trading Indicator: Calculates RSI or Stochastic oscillator and plots signals against predefined upper and lower bands for range-bound markets.
2. Weighted Market Screener (Deepsage)
Monitors the overall market trend using 12 different indicators, each weighted based on its relevance.
Produces a market trend rating: strong buy, buy, neutral, sell, or strong sell.
What’s New in V2
1. Trend-Aligned Entries
In V2, the entry indicators (Breakout, Price Action, Range Trading) only generate signals when the Market Screener confirms the trend (can be turned off).
Long trades: Screener must rate the market as Buy or Strong Buy.
Short trades: Screener must rate the market as Sell or Strong Sell.
2. Session-Based Optimization
V2 supports the NY, London, and Tokyo trading sessions.
Each indicator can be restricted to the session where it performs best (can be turned off):
NY: Breakout Indicator
London: Price Action Indicator
Asia: Range Trading Indicator
3. Additional Enhancements
Market Screener locked to 15-minute timeframe, giving a clear view of the overall trend while entries are still executed on 1-minute charts.
Fully customizable alerts for buy and sell signals.
Settings allow traders to toggle indicators and alerts on/off for maximum flexibility.
Summary
Combined Indicators V2 is a powerful, session-aware, trend-aligned trading tool that merges multiple strategies into one cohesive system. It allows traders to:
Trade low timeframes with precise entries
Only take trades that align with the overall market trend
Optimize strategies based on trading sessions
Customize alerts and indicator settings for personal preferences
ICT 7/8/9am lines NY session + 7.30/8.30/9.30 linesThis script show the 7, 8, 9 AM NY session lines, together with the 7.30, 8.30 and 9.30AM lines, like ICT teaches in the 2024 Mentorship, lesson 2.
Feel free to use it!
SIV Trading LightSmartInVisions Trading Light (SIV Trading Light)
**Multi-Factor Market Regime & Trade Bias Indicator**
---
## Overview and Purpose
**SmartInVisions Trading Light (SIV Trading Light)** is a market **context and trade-bias indicator**, not a signal generator.
Its purpose is to answer one practical trading question:
> *“Given the current market conditions, is it statistically more favorable to think LONG, SHORT, or stay neutral?”*
Instead of relying on a single indicator, SIV Trading Light **combines several independent market dimensions into one coherent score**.
This allows traders to avoid over-trading in unfavorable environments and to align trades with the dominant market context.
---
## Why This Is NOT a Simple Indicator Mashup
This script does **not** simply merge popular indicators.
Each component is:
* normalized,
* weighted,
* evaluated against thresholds,
* and translated into **positive, neutral, or negative score contributions**.
Only the **combined interaction** of these components produces the final trade bias.
No single indicator can dominate the result on its own.
---
## Core Calculation Concept
At every bar, the indicator evaluates multiple independent factors.
Each factor contributes points to a **total bias score**.
The score is then classified into one of three states:
* **LONG bias**
* **NEUTRAL**
* **SHORT bias**
The indicator does **not** predict price direction.
It classifies the **current trading environment**.
---
## Components and How They Work Together
### 1. Trend Structure (Moving Averages)
**Purpose:** Identify the dominant directional structure.
* Fast MA vs Slow MA relationship
* Price position relative to the slow MA
* Optional slope confirmation
Contribution:
* Positive points in aligned uptrends
* Negative points in aligned downtrends
* Neutral in mixed or unclear structures
---
### 2. Momentum (RSI)
**Purpose:** Measure directional strength.
* RSI above upper threshold → bullish momentum
* RSI below lower threshold → bearish momentum
* Mid-range RSI → neutral
Momentum refines trend signals by confirming or weakening them.
---
### 3. Trend Quality / Choppiness (ADX)
**Purpose:** Filter out sideways or noisy markets.
* ADX above threshold → trending environment
* ADX below threshold → choppy environment
ADX does **not** define direction.
It modifies how much weight trend and momentum signals receive.
---
### 4. Volatility Risk (ATR%)
**Purpose:** Penalize structurally dangerous environments.
ATR is normalized as a percentage of price:
* Excessively high volatility → risk penalty
* Extremely low volatility → participation penalty
* Balanced volatility → neutral or positive contribution
This prevents aggressive trading in unstable regimes.
---
### 5. Market Participation (Relative Volume)
**Purpose:** Confirm whether moves are supported by volume.
* High relative volume → confirmation
* Low volume → weaker confidence
Volume acts as a confidence modifier, not as a directional signal.
---
### 6. Higher-Timeframe Market Regime (Optional)
**Purpose:** Align trades with the dominant higher-timeframe context.
On a user-defined **regime timeframe**, the script evaluates:
* trend structure
* RSI momentum
The regime filter can:
* amplify signals aligned with the higher timeframe
* suppress signals against it
This avoids trading aggressively against dominant market structure.
---
## Multi-Timeframe Design
The indicator separates two concepts:
* **Trading Timeframe**: the chart timeframe used for execution
* **Regime Timeframe**: a higher timeframe used for contextual bias
This design allows the same logic to be applied to:
* day trading
* swing trading
* longer-term investing
---
## Presets and Customization
Built-in presets are provided for:
* Day Trading (USA / Europe)
* Swing Trading (USA / Europe)
* Investing (USA / Europe)
Presets define:
* factor weights
* thresholds
* score boundaries
They do **not** define:
* timeframes
* moving average types or lengths
This keeps structural decisions under user control while simplifying parameter tuning.
A **Custom mode** allows full manual configuration.
---
## Visual Output
The indicator provides:
* two moving average overlays (fast / slow)
* an optional background color reflecting the current bias
* a compact badge summarizing mode, score, and state
* an optional breakdown table showing how each factor contributes to the score
These visuals are designed to explain **why** the current bias exists.
---
## Alerts
Alerts are based on **state changes**, not on every bar.
Alert outputs include:
* numerical state (`1 = LONG, 0 = NEUTRAL, -1 = SHORT`)
* score value
* rounded moving average values
This allows integration into discretionary or systematic workflows without alert noise.
---
## How This Indicator Should Be Used
✔ As a **trade filter**
✔ To avoid trading in unfavorable conditions
✔ To align discretionary entries with market context
---
## What This Indicator Is NOT
✘ Not a buy/sell signal
✘ Not a prediction model
✘ Not a replacement for risk management
---
## Credits and License
**Publisher:** SmartInVisions GmbH
**Concept & Design:** Reiner Ernst
**Implementation & Iterative Development:** SmartInVisions GmbH + ChatGPT (OpenAI)
**License:** Mozilla Public License 2.0 (MPL-2.0)
---
## Disclaimer
This script is provided for educational and research purposes only.
It does not constitute financial advice. Trading involves risk.
---
Multi-Timeframe EMA-VWAP EntryTrend Following strategy. Based on Exponential moving averages and Volume weighted average price. Good for trending instruments on day trading basis
Polynomial Trend Exhaustion & DivergencePolynomial Trend Exhaustion & Divergence
Overview
This indicator combines advanced polynomial regression analysis with momentum-based exhaustion detection and forecast-based divergence signals. It identifies potential trend reversals by analyzing when price momentum is fading (exhaustion) and when price direction conflicts with the mathematical trajectory projected by cubic polynomial forecasting (divergence).
The system uses optional source smoothing (Linear Regression Blend or Kalman filtering) to reduce noise before analysis, then applies two independent detection methods to generate high-probability reversal warnings.
Exhaustion Detection
What it detects: Trend exhaustion occurs when price is still moving in one direction but the underlying momentum is weakening—a classic early warning of potential reversal.
How it works:
The indicator calculates either a cubic polynomial regression or Kalman filter trend, then monitors the slope of that trend line. Exhaustion is detected when:
Bullish Exhaustion: The slope is positive (uptrend) but the rate of change of the slope is negative (momentum decelerating)
Bearish Exhaustion: The slope is negative (downtrend) but the rate of change of the slope is positive (momentum decelerating)
Signal filtering:
Consecutive Bars Required: Exhaustion conditions must persist for a configurable number of bars before triggering
Max Repeat Signals: Limits how many consecutive exhaustion signals can fire to prevent clustering
Cooldown Period: After hitting the max signal limit, the indicator pauses before allowing new signals
This produces clean, actionable warnings rather than noise during extended exhaustion phases.
Divergence Detection
What it detects: Divergence signals identify when the polynomial-projected future price path conflicts with current price direction—suggesting price may be overextended and due for a correction toward the forecast.
How it works:
The indicator fits a cubic polynomial to recent price data and extrapolates it forward by a configurable number of bars. It then compares:
Current price direction (rising or falling over the lookback period)
Forecast position (above or below current price)
Divergence triggers when:
Bullish Divergence: Price is falling but the polynomial forecast is above current price (suggesting upward reversion)
Bearish Divergence: Price is rising but the polynomial forecast is below current price (suggesting downward reversion)
Signal filtering:
Minimum Divergence (ATR): The forecast must be at least X ATRs away from price
Minimum Price Movement (ATR): Price must have moved at least X ATRs over the lookback period (filters out sideways noise)
Consecutive Bars Required: Divergence conditions must persist for X bars before triggering
Cooldown Period: Minimum bars between divergence signals of the same type
Key Features
Dual trend methods: Choose between Polynomial Regression or Kalman filtering for the base trend calculation
Source smoothing options: None, LinReg Blend, or Kalman filter applied to OHLC data before analysis
ATR-normalized thresholds: All filter thresholds adapt to current volatility
Anti-clustering logic: Built-in repeat limits and cooldowns prevent signal spam during extended conditions
Full alert support: All four signal types (Bull/Bear Exhaustion, Bullish/Bearish Divergence) have dedicated alert conditions
Squeeze Indicator Squeeze Indicator is a volatility-focused indicator designed to identify periods of compression and the early transition into expansion.
It measures Bollinger Band Width (BBW) using a 20-period Bollinger Band to quantify how tightly price is coiling, then smooths BBW with a 16-period SMA and a faster 8-period EMA to distinguish structural compression from short-term changes in volatility.
The BBW itself is displayed as a subtle grey filled area to emphasize relative contraction and expansion, while a squeeze condition is highlighted whenever BBW falls below both its SMA and EMA, signaling an environment where volatility is suppressed and a directional move is more likely to follow.
Crossovers of the EMA above or below the SMA provide early warnings of volatility expansion or renewed compression, making the indicator especially useful for timing breakouts, anticipating regime shifts from range to trend, and managing options strategies that depend on changes in volatility rather than price direction.
Adaptive Support/Resistance EMA IndicatorThis indicator automatically identifies and displays the optimal Exponential Moving Average (EMA) period for the current market conditions by analyzing how well different EMAs act as support or resistance levels.
How It Works
Adaptive Period Selection:
The indicator tests 33 different EMA periods (ranging from 5 to 400, including Fibonacci numbers like 8, 13, 21, 34, 55, 89, 144, 233, 377) and scores each based on how effectively it functions as support or resistance.
Intelligent Scoring System:
Each EMA is evaluated using three key metrics:
Respect Rate - Percentage of time price stays on the correct side of the EMA (above for support, below for resistance)
Successful Bounces - Number of times price approached the EMA and reversed without breaking through
Break Severity - Penalties for failed breaks, weighted by both depth and duration of the violation
Trend-Aware Behavior:
Uptrend (price > 50 EMA): Finds the EMA that best acts as a support floor below price
Downtrend (price < 50 EMA): Finds the EMA that best acts as a resistance ceiling above price
Adaptive Features:
Dynamic Lookback: Automatically adjusts analysis period (50-200 bars) based on market volatility
Sticky Selection: Won't switch EMAs unless new choice shows significant improvement (8% threshold by default)
Update Frequency: Recalculates every 20 bars or immediately during high volatility periods
Visual Elements
EMA Display:
Green line = Support (in uptrends)
Red line = Resistance (in downtrends)
Optional glow effect for enhanced visibility
Optional fill between price and EMA
Labels:
Shows "SUP " or "RES " when the selected EMA changes
Markers appear only when there's a meaningful change
Info Table:
Displays real-time statistics:
Current EMA period
Role (Support or Resistance)
Adaptive lookback length
Number of successful bounces
Number of breaks
Break severity score (color-coded: green < 5, yellow 5-20, red > 20)
Key Advantages
No manual EMA period selection needed
Adapts to changing market conditions automatically
Considers both bounce quality and break severity
Reduces whipsaws through sticky selection logic
Provides transparency with detailed performance metrics
Settings
Performance Settings:
Min/Max Lookback: Range for adaptive analysis window
Update Frequency: How often to recalculate (higher = faster performance)
Sticky Threshold: Required improvement % to switch EMAs
Detection Settings:
Touch Threshold: How close price must get to count as a "touch"
Bounce Window: Bars to confirm a successful bounce vs break
Visual Settings:
Customizable support/resistance colors
Toggle glow and fill effects
Show/hide info table and change markers
ICT Power of 3 identify the high-probability Power of 3 pattern by analyzing price behavior rather than just specific times of day. It focuses on how the market builds, traps, and then expands.
1. Accumulation (The Setup)
Logic: The script monitors volatility using the Average True Range (ATR). When volatility drops below its recent average, the script recognizes that orders are being "accumulated."
Visual: A Blue Dotted Box appears. This marks the equilibrium zone where buy and sell side liquidity is being engineered above and below the high/low of the range.
2. Manipulation (The Trap)
Logic: The script looks for a "Sweep." This is defined as price moving outside the blue accumulation box but failing to sustain that move. In the video, this is the "Judas Swing" or false breakout.
Visual: A Red Diamond appears above or below the bar. This signals that the script has detected a liquidity grab—essentially, the market has "tricked" breakout traders into the wrong side of the market.
3. Distribution (The Expansion)
Logic: This is identified through Displacement. The script calculates the average candle body size. When a candle appears that is significantly larger (based on your Displacement Multiplier), it confirms that "Smart Money" has entered the market.
Visual: A Green Triangle appears. This marks the start of the distribution phase, which is the "meat" of the move where you want to be positioned.















