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.
Analisis Trend
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.
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
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
Weinstein Stage AnalysisWeinstein Stage Analysis
This is an enhanced version of Stan Weinstein's classic Stage Analysis, optimized for visual clarity on dark themes. The indicator instantly colors your candlesticks based on the current Weinstein Stage using a bright, fully opaque color scheme that stands out strongly even on dark charts.
Key Features:
- Uses Weekly 30-period SMA (customizable length) as the primary reference line
- Supports "Within Range %" parameter – set to 0% for super-strong stocks that must stay clearly above/below the MA
- Four distinct stages with vivid colors:
• Stage 1 (Accumulation) – Bright Cyan (#00FFFF) – Stock is basing or consolidating near the MA
• Stage 2 (Uptrend) – Bright Green (#00CD00) – Strong uptrend, price clearly above the weekly MA
• Stage 3 (Topping) – Bright Orange (#FFAA00) – Price is still above MA but weakening (potential distribution)
• Stage 4 (Downtrend) – Bright Red (#FF0000) – Strong downtrend, price clearly below the weekly MA
- Automatic stage transition logic with perfect color persistence (no flickering)
- Super visible on both light and dark themes – colors are 100% opaque and highly saturated
- Plots the Weekly 30 SMA as a thick white line for easy reference
How to Use:
1. Add to any chart (works best on daily or weekly timeframes)
2. For very strong momentum stocks, set "Within Range %" to 0% – this forces the indicator to only show Stage 2 when price is clearly above the MA
3. Use default 30-period length or adjust based on your preference
4. Watch for clean stage transitions – especially the switch from Stage 3 (orange) to Stage 4 (red) as a strong sell signal, or Stage 1 (cyan) to Stage 2 (green) as a powerful buy signal
Key Zone$ - Support and Resistance0DTE Bounce Zones (6M) — Support & Resistance with VWAP, Volume, and Risk Management
This indicator is built for intraday and 0DTE options trading, focused on high-quality bounce and rejection setups at historically proven support and resistance zones.
It automatically identifies key zones from six months of historical price action and waits for real-time confirmation before signaling CALL or PUT opportunities. The goal is to reduce noise, avoid weak bounces, and provide clear, rules-based trade structure.
====================================================================
CORE FEATURES
====================================================================
Historical Support & Resistance Zones (6 Months)
Zones are built using 15-minute pivot highs and lows.
A zone must be tested at least 3 times to be considered valid.
Nearby zones are merged automatically to reduce clutter.
Zones extend forward in time and update dynamically.
Support zones are shown in green, resistance zones in red.
These are higher-quality structural levels, not same-day levels.
====================================================================
0DTE-Focused Entry Logic
Signals only trigger when price interacts with a confirmed zone and shows a strong rejection candle.
Signals are limited to high-probability trading windows only.
Market Open: 9:30–10:45 ET
Market Close: 3:00–4:00 ET
This avoids midday chop and focuses on periods with real momentum.
====================================================================
VWAP Confirmation (Strict)
CALL setups require a VWAP reclaim.
PUT setups require a VWAP loss.
This aligns trades with institutional order flow instead of counter-trend noise.
====================================================================
MACD Momentum Filter
MACD histogram behavior is used to confirm momentum direction and avoid taking bounces against the prevailing move.
====================================================================
ATR Candle Strength Filter
The signal candle must be large enough relative to ATR.
This filters out weak or indecisive candles that often fail with 0DTE.
====================================================================
Advanced Volume Confirmation (Relative Volume)
Relative Volume (RVOL) is used instead of raw volume.
Different RVOL thresholds are applied for CALLS versus PUTS.
Higher RVOL is required for PUTS due to downside urgency.
Lower RVOL is allowed for CALLS due to grind-up behavior.
Separate RVOL thresholds are used for the market open and market close.
This ensures signals only occur when real participation is present.
====================================================================
Built-In Risk Management (2:1 Reward/Risk)
Every signal automatically calculates an entry, stop loss, and target.
Stop loss is based on the zone edge with an ATR buffer.
Targets default to a 2:1 reward-to-risk ratio.
Entry, stop, and target levels are drawn directly on the chart and included in alerts.
====================================================================
Smart Alerts (CALLS & PUTS)
Alerts trigger only when all conditions are met.
Alerts include trade direction, entry price, stop price, target price, and RVOL information.
Alerts are designed for 5-minute confirmation trading.
To use alerts, select “Any alert() function call” when creating the alert.
====================================================================
INTENDED USE
====================================================================
0DTE options trading.
5-minute chart confirmation.
Index ETFs and liquid equities such as SPY, QQQ, IWM, and SPX.
Traders who want aggressive entries with confirmation.
Traders who value structure, volume, and risk control.
====================================================================
NOTES
====================================================================
This is not a prediction tool.
Signals require discipline and confirmation.
Best results come from trading only the highest-quality setups.
Session VWAP Cumulative BiasThe Session VWAP Cumulative Bias indicator is designed to differentiate between "choppy" price action and true "institutional" trend days. Unlike standard VWAP indicators that only show where price is now, this tool tracks the cumulative sentiment of the entire session.
Core Functions:
Cumulative Z-Score Logic: It calculates the distance between price and VWAP (in Standard Deviations) and sums it up over the course of the day. This reveals the "weight" of the market bias—the longer price stays pinned away from the VWAP, the more extreme the histogram becomes.
Scale Protection: It includes a "Capping" mechanism that prevents morning gaps or low-volume outliers from distorting the scale, ensuring the histogram remains readable from open to close.
Momentum vs. Regime Toggles: Users can switch between VWAP Slope (measuring the speed of the average's movement) and Cumulative Bias (measuring total session dominance).
Visual price Overlay: It automatically colors the price candles and plots a session-anchored VWAP line on the main chart, providing a clear visual of when price is "fair" versus "overextended."
How to read it:
Trend Confirmation: A steadily growing "mountain" in the histogram confirms an institutional trend day where dips are being bought (or rips sold).
Mean Reversion: When price hits a new high but the Cumulative Histogram begins to round off or diverge, it signals that the "elastic band" is stretched and price is likely to return to the orange VWAP line.
Regime Shifts: A cross of the zero-line on the histogram indicates a total shift in session control from buyers to sellers (or vice versa).
Auto Fib Prev-Week Only for [4H+ Swing]Maps the previous week Fib levels:
Captures real supply & demand.
Defines where price was accepted or rejected.
Creates levels that current price must respect.
This indicator locks those levels in place and extends them forward.
What the levels represent:
- Previous Week High / Low
- Major boundaries. Breaks require momentum.
- 50% Level
- Balance point. Chop and indecision are common here.
- 61.8% Levels (Bull & Bear)
- Primary mean-reversion zones.
- Most reliable reaction levels.
- 78.6% Levels
- Last defense before trend failure or expansion.
- Extensions (1.214 → 2.618 / negatives)
- Exhaustion and target zones.
Working....
Dashboard (bottom-right)
- Nearest Sup / Res – Closest actionable level
- On Level? – Price is currently reacting at a level
- UpBreak% / DnBreak% – Probability of breaking vs rejecting
- Bias – Market posture (UP / DOWN / NEUTRAL)
- Tol – Sensitivity used for level detection
BLUF: Maps last week’s structure forward to identify high-probability reaction zones and whether price is more likely to revert or break.
Daily Inputs - The Prometheus InitiativeDaily ES inputs from the Prometheus Initiative is a clean, customizable overlay indicator designed specifically for ES (S&P 500 E-mini futures) day traders who rely on manually selected key price levels each session.
Instead of spending time manually drawing horizontal lines every day, this tool lets you quickly input the daily price levels directly in the settings and instantly see them plotted as horizontal lines across your chart.
Key Features:
• 15 fully editable price inputs with customizable settings.
Why this indicator was created:
Manually drawing 10–15 lines each morning is time-consuming. This indicator was developed to eliminate that friction — allowing fast, accurate plotting of levels so you can focus on execution rather than drawing tools. The largest benefit is that you can toggle the indicator on/off to keep a clean chart as to not interfere with your existing visual levels.
Perfect for:
- ES / NQ futures traders
- Anyone who wants a clean, no-nonsense way to visualize custom horizontal levels
How to use:
1. Add to your chart
2. Open Settings → Enter the daily levels provided
3. Watch price interact with the levels!
Note: This is a manual input tool. Levels do NOT auto-calculate. It's meant to reflect the exact levels posted each day.
Happy trading! 📈
Feel free to leave feedback or suggestions in the comments.
Disclaimer: This indicator is for educational/visual purposes only. Trading futures involves substantial risk of loss and is not suitable for all investors.
Chart This in GoldProduces a historical line chart in the bottom pane to reflect how many units of spot gold (XAU) could be exchanged for one unite of the underlying asset.
Risk Manager & ATR TS Strategy📌 Overview
This script is not a simple indicator mashup. It is a Risk & Trade Planning Engine that combines a strategy-based signal generator with a snapshot-based risk, sizing, and expectancy model. It is designed to support real trading decisions, not just to generate cosmetic signals or overfitted backtests.
The core idea is to separate market logic from risk logic, evaluating each trade only at the moment it becomes actionable using fixed reference points that do not change afterward.
🎯 What makes this script original Unlike most tools that merely combine indicators or visualize entries, this script introduces several non-standard design choices:
Snapshot-based risk sizing (The "Time Machine" logic).
Expected Value (EV) calculation in both Money and R-multiples.
Kelly Criterion applied with weighted multi-target logic.
Strict architectural separation between the signal engine and the risk engine.
Decision-oriented dashboard instead of decorative plots.
These components are not merged for convenience; they are architecturally dependent on each other.
🧠 Conceptual Architecture
1️⃣ Signal Engine (Market Context) The signal engine is based on an ATR Trailing Stop system combined with trend regime filters (ADX and Choppiness Index). Its only responsibility is to answer one question: "Is this a valid directional opportunity right now?" It does not manage risk; it only identifies the opportunity.
2️⃣ Snapshot Logic (Key Design Choice) When a valid signal occurs, the script captures a Snapshot of the Entry price, Initial Stop-Loss, and Risk Distance. This snapshot is frozen at signal time. It is never updated, even if the trailing stop moves later. This avoids the most common error in TradingView scripts: recalculating position size using a moving stop, which falsifies the risk data.
3️⃣ Risk Engine (Sizing & Control) Using the snapshot values, the script computes:
Monetary risk per trade (capped at your user-defined max).
Position size derived from the fixed stop distance.
Effective leverage (informational).
4️⃣ Multi-Target Reward Model Instead of assuming a single take-profit, the script supports multiple targets with user-defined probability weights. From this, it derives a Weighted Risk/Reward Ratio, which feeds directly into the EV and Kelly calculations.
5️⃣ Expected Value (EV) in Money & R The script calculates EV in your account currency (real impact) and normalized in R-multiples (statistical quality). This allows you to compare trade quality across different assets and timeframes objectively.
6️⃣ Kelly Criterion (Conservative) The Kelly Criterion is applied using the weighted reward model and is always subordinated to your hard risk cap. If Kelly suggests a negative value, the script advises "NO TRADE". It is used as a filter, not a leverage amplifier.
📊 Dashboard & Alerts The on-chart dashboard summarizes everything you need at the moment of the signal:
Risk % and Position Size
Expected Value (Money + R)
Kelly Suggestion
Signal Strength
Alerts are triggered once per signal (on bar close) using snapshot data, ensuring no repainting and no spam.
🔍 How this is NOT a mashup Each component exists because another component depends on it. Snapshot logic is required for valid risk sizing; Risk sizing is required for EV normalization; Weighted RR is required for meaningful Kelly. Removing any part breaks the system’s logic.
📘 How to use
Choose your account size and risk parameters in the settings.
Configure your stop logic and reward targets.
Wait for a valid signal.
Evaluate the dashboard: Decide if the trade quality (EV, R, Risk) justifies participation.
⚖️ Open-Source Notice This script is published under the Mozilla Public License 2.0 (MPL-2.0). It does not copy or replicate any single public script. Standard concepts (ATR, ADX) are used as building blocks, but the architecture and calculations are original.
🚫 Disclaimer This script is a planning and evaluation engine designed to help traders think in terms of risk, expectancy, and discipline. It does not guarantee profitability.
✅ Summary This is a professional-grade framework built to answer one core question: “Is this trade worth taking, given my risk and my expectations?” Not every signal is a trade, and not every trade deserves capital. This script helps you make that distinction.
Auto Fibonacci Lines Depending on ZigZag %In the world of technical analysis, few tools are as powerful—or as misused—as Fibonacci Retracements. The Auto Fibonacci Lines Depending on ZigZag % is not just an indicator; it is a complete, automated trading system designed to eliminate subjectivity and bring institutional-grade precision to your charts.
This script automates the identification of significant market structures using a ZigZag algorithm. Once a market swing is mathematically confirmed (based on your deviation settings), it instantly projects a complete suite of Retracement and Extension levels. This allows you to stop guessing where to draw your lines and start focusing on price action.
🧠 The Logic Behind the Indicator
Understanding how your tools work is the first step to trusting them. This script operates on a three-step logic loop:
ZigZag Identification:
The script continuously monitors price action relative to the last known pivot point. It uses a user-defined Deviation % to filter out market noise. A new "Leg" is only confirmed when price reverses by this specific percentage. This ensures that the Fibonacci lines are only drawn on significant market moves, not random chop.
Automated Anchor Points:
Once a downward trend is confirmed (e.g., price drops 30% from the top), the script automatically anchors the Fibonacci tool to the Swing High (Start) and the Swing Low (End). It does this without you needing to click or drag anything.
Dynamic Cleanup:
Markets evolve. A key feature of this script is its self-cleaning mechanism. As soon as a new trend leg is confirmed, the script automatically deletes the old, invalidated Fibonacci lines and draws a fresh set for the new structure. This keeps your chart clean and focused on the now.
🎓 How to Trade This System
This indicator is color-coded to simplify your decision-making process. It moves beyond standard "rainbow" charts by categorizing price levels into three distinct actionable zones.
1. The "Reload Zone" (White Lines: 0.618 - 0.786) ⚪
Role: High-Probability Support / Entry
In institutional trading, the 0.618 (Golden Ratio) to 0.786 region is often where algorithms step in to defend a trend.
Why it works : This is the "discount" area where smart money re-accumulates positions before the next leg up.
2. The "Decision Wall" (Blue Lines: 1.382 - 1.5) 🔵
Role: Strong Resistance / Trend Check
This is a unique feature of this suite. The 1.382 and 1.5 levels often act as a "ceiling" for weak breakouts.
Strategy : If you entered in the White Zone, the Blue Zone is your first major hurdle. If price stalls here, consider securing partial profits.
Warning : A rejection from the Blue Lines often leads to a double-top formation. However, a clean break above the Blue Lines usually signals a parabolic move is beginning.
3. The "Extension Zone" (Yellow, Red, Purple > 1.618) 🟡🔴
Role : Take Profit / Exhaustion
Levels above 1.5 (starting with the 1.618 Golden Extension) are statistical extremes.
Strategy : These are Strict Take Profit levels. Do not FOMO (Fear Of Missing Out) into new long positions here. The probability of a reversal increases drastically as price climbs through these levels (2.618, 3.618, 4.618).
📐 The Mathematical Edge: Logarithmic vs. Linear
One of the most critical features of this script is the ability to toggle between Logarithmic and Linear calculations.
Why use Logarithmic?
If you are trading Crypto (Bitcoin, Altcoins) or high-growth Tech Stocks, linear Fibonacci levels are mathematically incorrect over large moves. A 50% drop from $100 is different than a 50% drop from $10.
This script calculates the percentage difference (Log Scale), ensuring your targets are accurate even during 100%+ parabolic runs.
Why use Linear?
For mature markets like Forex (EURUSD) or Indices (SPX500) where volatility is lower, Linear scaling is the industry standard.
🛠️ Configuration & Best Practices
Deviation % : This is the heartbeat of the indicator.
Swing Trading : Set to 20-30%. This filters out noise and only draws Fibs on major macro moves.
Scalping : Set to 3-5%. This will catch smaller intraday waves.
Text Place : Keeps your chart clean by pushing labels to the right, ensuring they don't overlap with the current price action.
👤 Who Is This Indicator For?
The Disciplined Trader : Who wants to remove emotional bias from their charting.
The Crypto Investor : Who needs accurate Logarithmic targets for long-term holding.
The Confluence Trader : Who combines these automated levels with Order Blocks, RSI, or Volume to find the perfect entry.
⚠️ RISK DISCLAIMER & TERMS OF USE
For Educational Purposes Only:
This script and the strategies described herein are provided strictly for educational and informational purposes. They do not constitute financial, investment, or trading advice. The "Auto Fibonacci Lines" indicator is a tool for technical analysis and should not be used as the sole basis for any trading decision.
No Guarantees:
Past performance of any trading system or methodology is not necessarily indicative of future results. Financial markets are inherently volatile, and trading involves a high level of risk. You could lose some or all of your capital.
User Responsibility:
By using this script, you acknowledge that you are solely responsible for your own trading decisions and risk management. The author assumes no liability for any losses or damages resulting from the use of this tool or the information provided. Always consult with a qualified financial advisor before making investment decisions.
Elite Risk-On/Risk-Off Oscillator (6 pairs) The Elite Risk-On / Risk-Off Oscillator is a market-regime indicator designed to determine whether conditions favor aggressive risk-taking or defensive capital preservation rather than to predict price direction.
It combines six carefully selected relative-strength pairs that measure risk appetite across the most important parts of the market:
IEI/HYG (credit stress, weighted most heavily because credit often leads equities)
SPHB/SPLV (equity risk appetite via high-beta versus low-volatility stocks)
IWM/SPY (liquidity and growth sensitivity through small-caps versus large-caps)
MTUM/QUAL (trend durability versus balance-sheet quality)
XLY/XLP (consumer cyclicality, wants versus needs)
EEM/SPY (global risk and dollar-sensitive capital flows)
Each pair is evaluated using relative performance against a moving-average and slope filter to classify it as risk-on (+1), neutral (0), or risk-off (-1), with defensive ratios inverted so that positive readings always indicate risk-on conditions; the weighted signals are then aggregated, normalized to a -100 to +100 scale, and smoothed into a single oscillator. Readings above approximately +40 indicate a supportive risk-on environment where trends are more likely to persist, readings between -40 and +40 reflect transitional or choppy conditions with lower conviction, and readings below -40 signal a risk-off regime where capital preservation and defense should be prioritized.
The indicator is intended as a context and position-sizing tool, helping traders align strategy aggressiveness with underlying market conditions rather than relying on forecasts or narratives.
Thick Wick OverlayI have a hard time seeing the wick and made a simple overlay indicator to create a "thicker wick". You can change the thickness and wick color to your desired color and thickness.
NVentures Liquidity Radar ProInstitutional Liquidity Radar Pro
OVERVIEW
This indicator combines three institutional trading concepts into a unified confluence scoring system: Liquidity Zones (swing-based), Order Blocks, and Fair Value Gaps. The unique value lies not in these individual concepts, but in HOW they interact through the confluence scoring algorithm to filter high-probability zones.
HOW THE CONFLUENCE SCORING WORKS
The core innovation is the calcConfluence() function that assigns a numerical score to each detected level:
1. Base Score: Every swing pivot starts with score = 1
2. Zone Overlap Detection: The algorithm iterates through all active zones within confDist * ATR proximity. Each overlapping zone adds +1 to the score
3. Order Block Proximity: If an Order Block's midpoint (top + bottom) / 2 falls within the confluence distance, +1 is added
4. HTF Validation: Using request.security(), the indicator fetches higher timeframe swing pivots. If the current zone aligns with an HTF swing within 2 * confDist * ATR_htf, a +2 bonus is awarded
Zones scoring 4+ are highlighted as high confluence - these represent areas where multiple institutional concepts converge.
HOW LIQUIDITY ZONES ARE CALCULATED
Detection: ta.pivothigh() and ta.pivotlow() with configurable lookback (default: 5 bars left/right)
Zone Width - Three modes available:
- ATR Dynamic: ATR(14) * multiplier (default 0.25)
- Fixed %: close * (percentage / 100)
- Wick Based: max(upperWick, lowerWick) * 1.5
Proximity Filter: isTooClose() prevents clustering by enforcing minimum ATR * minATRdist between zones
HOW ORDER BLOCKS ARE DETECTED
The detectBullishOB() / detectBearishOB() functions identify the last opposing candle before an impulse move:
1. Check if candle is opposing direction (bearish before bullish impulse, vice versa)
2. Validate consecutive candles in impulse direction (configurable, default: 3)
3. Volume confirmation: volume >= volMA * volMult (using 50-period SMA)
4. Minimum move validation: abs(close - close ) > ATR
This filters out weak OBs and focuses on those with institutional volume footprints.
HOW FAIR VALUE GAPS ARE DETECTED
FVGs represent price imbalances:
- Bullish FVG: low - high > ATR * fvgMinSize
- Bearish FVG: low - high > ATR * fvgMinSize
The ATR-relative sizing ensures gaps are significant relative to current volatility.
HOW SWEEP DETECTION WORKS
The checkSweep() function identifies false breakouts through wick analysis:
1. Calculate wick percentage: upperWick / totalRange or lowerWick / totalRange
2. Sweep conditions for resistance: high > zone.upper AND close < zone.price AND wickPct >= threshold
3. Sweep conditions for support: low < zone.lower AND close > zone.price AND wickPct >= threshold
A sweep indicates liquidity was grabbed without genuine continuation - often preceding reversals.
HOW FRESHNESS DECAY WORKS
The calcFreshness() function implements linear decay:
freshness = 1.0 - (age / decayBars)
freshness = max(freshness, minFresh)
This ensures old, tested zones fade visually while fresh zones remain prominent.
WHY THESE COMPONENTS WORK TOGETHER
The synergy is based on the principle that institutional activity leaves multiple footprints:
- Swing Pivots = where retail stops cluster
- Order Blocks = where institutions entered
- FVGs = where aggressive institutional orders created imbalances
- HTF Alignment = where higher timeframe participants are active
When these footprints converge at the same price level (high confluence score), the probability of significant price reaction increases.
CONFIGURATION
- Swing Detection Length: 5-8 for intraday, 8-15 for swing trading
- HTF Timeframe: One level above trading TF (e.g., D for H4)
- Min Confluence to Display: 2 for comprehensive view, 3-4 for high-probability only
- FVGs: Disabled by default for cleaner charts
STATISTICS PANEL
Displays: Active resistance/support zones, high confluence count, swept zones, active OBs, active FVGs, current ATR, selected HTF.
ALERTS
- Price approaching high confluence zone
- Liquidity sweep detected
- Bullish/Bearish Order Block formed
- Bullish/Bearish FVG detected
TECHNICAL NOTES
- Uses User-Defined Types (UDTs) for clean data structure management
- Respects Pine Script drawing limits (500 boxes/labels/lines)
- All calculations are ATR-normalized for cross-market compatibility
Institutional Volatility Expansion & Liquidity Thresholds (IVEL)Overview
The IVEL Engine is an institutional-grade volatility modeling tool designed to identify the mathematical boundaries of price delivery. Unlike retail oscillators that use fixed scales, this script utilizes dynamic ATR-based multiples to map Institutional Premium and Discount zones in real-time.
How to Use
To maximize the effectiveness of the IVEL Engine, traders should focus on Price Delivery at the extreme thresholds:
Identifying Institutional Premium (Short Setup) : When price expands into the Upper Red Zone, it has reached a mathematical exhaustion point. Seek short-side entries when price shows signs of rejection from this level back toward the Fair Value Baseline.
Identifying Institutional Discount (Long Setup) : When price reaches the Lower Green Zone, it is considered "cheap" by institutional algorithms. Look for long-side absorption or accumulation patterns within this zone.
Mean Reversion Targets: The Fair Value Baseline (Center Line) acts as the primary magnetic target. Successful trades taken at the outer thresholds should use the baseline as the first objective for profit-taking.
Alerts & Execution Strategy
The IVEL Engine is designed for automated monitoring so you don't have to watch the screen 24/7. To set up your execution workflow:
Set the Alert : Right-click the indicator and select "Add Alert." Set the condition to "Price Crossing Institutional Premium" (Upper Red) or "Price Crossing Institutional Discount" (Lower Green).
Wait for the Hit : Do not market-enter as soon as the alert fires. The alert tells you price has entered a High-Probability Liquidity Zone.
Confirm the Rejection : Once alerted, drop down to a lower timeframe (e.g., 5m or 15m) and look for a "Shift in Market Structure" or an SMT Divergence.
Execute : Enter once the rejection is confirmed, targeting the Fair Value Baseline as your primary TP1.
Methodology
The script anchors to an EMA-based baseline and projects expansion bands that adapt to current market conditions.
Value Area : The blue inner region where the majority of trading volume occurs.
Liquidity Exhaustion : The red and green outer regions where the probability of "Smart Money" reversal is highest.
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops.
How it Works:
Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals.
Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend.
Liquidity Sweep Detection:
A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward.
A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes.
ATR-Based Risk Management:
Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5).
Take profit is set based on a risk-reward ratio (default 2.5x).
Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading.
Inputs:
Session Start/End (HHMM)
Liquidity Lookback Period (number of bars to define prior high/low)
ATR Length for stop calculation
ATR Stop Multiplier
Risk-Reward Ratio
EMA Trend Filter Length
Visuals:
Prior Liquidity High (red)
Prior Liquidity Low (green)
EMA Trend (blue)
Why Use This Strategy:
Captures stop-hunt moves often triggered by larger market participants.
Only trades with trend confirmation, reducing false signals.
Provides automatic ATR-based stop loss and take profit for consistent risk management.
Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style.
Important Notes:
Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker.
Not financial advice; intended for educational, backtesting, or paper trading purposes.
Always test strategies thoroughly before applying to live accounts.
Professional Price Action AnalysisProfessional Price Action Analysis - Advanced S/R & Pattern Detection
A comprehensive technical analysis tool combining dynamic support/resistance zones, candlestick pattern recognition, trend analysis, and volume insights.
KEY FEATURES:
✓ Dynamic Support & Resistance Zones
- Automatically identifies swing highs/lows
- Classifies levels based on current price position
- Support zones display BELOW price (green)
- Resistance zones display ABOVE price (red)
- Adjustable zone thickness and lookback period
✓ Candlestick Pattern Detection
- Bullish/Bearish Engulfing patterns
- Pin bars (reversal signals)
- Inside bars (consolidation)
- Rejection candles (wick analysis)
- Visual markers on chart with labels
✓ Trend Analysis
- Customizable moving average (default 50-period SMA)
- Background color zones for trend direction
- Price vs MA percentage calculation
- Bullish/Bearish/Neutral classification
✓ Volume Analysis
- Volume spike detection (configurable multiplier)
- Highlights unusual volume with bar colors
- Helps identify institutional activity
✓ Information Dashboard
- Clean, readable display (top-right corner)
- Current trend status
- Distance to nearest support/resistance
- Volume status (High/Normal)
- Price deviation from moving average
✓ Alert System
- Alerts for all candlestick patterns
- Volume spike notifications
- Customizable alert conditions
CUSTOMIZABLE INPUTS:
• Swing detection length (3-50 bars)
• S/R lookback period (20-200 bars)
• Zone thickness percentage
• Maximum zones displayed
• Trend MA length
• Volume spike multiplier
• Toggle individual pattern types
BEST FOR:
- Swing traders identifying key levels
- Day traders spotting reversal patterns
- Price action enthusiasts
- Multi-timeframe analysis
This indicator does not repaint. All signals are confirmed after candle close. Suitable for all markets: stocks, forex, crypto, commodities.
Educational tool for technical analysis. Not financial advice.
Trailing Stoploss % BasedA minimalistic trend-following indicator that plots a single trailing line based on a user-defined percentage using price highs and lows.
The line:
Trails price in trends
Moves only in the direction of the trend
Flattens when price is not making new highs or lows
Acts as support in uptrends and resistance in downtrends
Useful on all instruments and all timeframes for clean trend tracking and trailing stop management.
ULTIMATE Multi-TF Previous CloseULTIMATE Multi-TF Previous Close displays previous close levels across multiple timeframes in one simple, non-repainting indicator.
These levels often act as key decision points, providing natural support, resistance, and directional bias.
Ideal for day traders, swing traders, and scalpers who want higher-timeframe context without clutter.
Features include:
Yearly → 5-minute timeframe coverage
Right-extended horizontal levels
Optional labels with exact prices
Tick-accurate rounding
Designed for clarity. Built for precision.
Regression Slope Oscillator [BigBeluga]🔵 OVERVIEW
The Regression Slope Oscillator is a trend–momentum tool that applies multiple linear regression slope calculations over different lookback ranges, then averages them into a single oscillator line. This design helps traders visualize when price is extending beyond typical regression behavior, as well as when momentum is shifting up or down.
🔵 CONCEPTS
Regression Slope – Measures the steepness and direction of price trends over a selected length.
f_log_regression(src, length) =>
float sumX = 0.0
float sumY = 0.0
float sumXSqr = 0.0
float sumXY = 0.0
for i = 0 to length - 1
val = math.log(src )
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
slope*-1
Multi–Sample Averaging – Instead of relying on one regression slope, the indicator loops through many lengths (from Min Range to Max Range with Step increments) and averages their slopes.
multiSlope(length)=>
// Get regression slope
slope = f_log_regression(close, length)
slopAvg.push(slope)
for i = minRange to maxRange by step
multiSlope(i)
Color Gradient – The oscillator and candles are colored dynamically from oversold (orange) to overbought (aqua), based on slope extremes observed within the user–defined Color Range.
Trend Oscillation – When the oscillator rises, price trend is strengthening; when it falls, momentum weakens.
🔵 FEATURES
Calculates regression slopes across a user–defined range (e.g., 10–100 with steps of 5).
Averages all sampled slopes into a single oscillator line.
Dynamic coloring of oscillator and chart candles based on slope values.
User–controlled Color Range :
High values (e.g., 50–100) → interpret as overbought vs oversold zones.
Low values (e.g., 2–5) → interpret as slope rising vs falling momentum shifts.
Dashboard table (top–right) displaying number of slope samples and current averaged slope value.
Candle coloring mode (optional) – candles take on the oscillator gradient color for at–a–glance reading of trend bias.
Signal Line (SMA) – A moving average of the slope oscillator used to identify momentum reversals.
Bullish Reversal Signal – Triggered when the oscillator crosses above the signal line while below zero, indicating downside momentum exhaustion and potential trend recovery.
Bearish Reversal Signal – Triggered when the oscillator crosses below the signal line while above zero, indicating upside momentum exhaustion and potential trend rollover.
Dual Placement Signals – Reversal signals are plotted both:
On the oscillator pane (for momentum context)
On the price chart (for execution alignment)
Confirmation Logic – Signals are only printed on confirmed bars to reduce repainting and false triggers.
🔵 HOW TO USE
Watch the oscillator cross above/below zero: signals shifts in regression slope direction.
Use the signal line crossovers near zero to identify early trend reversals.
Use high Color Range settings to identify potential overbought/oversold extremes in trend slope.
Use low Color Range settings for a faster, momentum–driven color change that tracks slope rising/falling.
Candle coloring highlights short–term trend pressure in sync with the oscillator.
Combine reversal signals with structure, support/resistance, or volume for higher–probability entries.
🔵 CONCLUSION
The Regression Slope Oscillator transforms raw regression slope data into a smooth, color–coded oscillator. By averaging across multiple regression lengths, it avoids the noise of single–range analysis while still capturing trend extensions and momentum shifts.
With the addition of signal line crossovers and confirmed reversal markers, the indicator now provides both trend context and actionable momentum signals within a single regression-based framework.
