HTF Bias & Session DashboardHTF Bias Dashboard is a lightweight tool that summarizes higher-timeframe direction and session context on any chart. It is designed for traders who want a quick directional overview directly on their chart.
Included components
• D1 and H4 Bias
Bias is calculated using a configurable EMA.
– If price is above the higher-timeframe EMA → bullish bias
– If price is below the higher-timeframe EMA → bearish bias
This provides a simple directional filter that helps avoid trades against the broader trend.
• Session Information
The dashboard detects the current UTC session and displays expected volatility conditions:
– Asia: low volatility / accumulation
– London: expansion
– New York: continuation or reversal conditions
This helps with timing decisions and understanding market behavior during different periods.
• Symbol and Info Row
Displays the active symbol along with a small info label for context.
How to use
This dashboard is intended for directional context only.
A common approach is:
– Trade in the direction of both D1 and H4 when they agree
– Be more cautious when the two biases diverge
– Consider session phase before making timing decisions
It works on any market and any timeframe.
Notes
• This tool does not include signals or alerts.
• It is meant for context only, not for generating entries or exits.
• This script is original, open-source, and provided for educational and research purposes.
Feedback and suggestions are welcome.
Trend Analysis
OK A+ Setup Scanner + Score PanelOK A+ Setup Scanner (0–8 Score with Real-Time Panel)
Designed to help swing traders quickly identify leader stocks forming high-probability breakout structures inspired by Oliver Kell’s super-performance methodology. This indicator analyzes trend strength, EMA alignment, volatility behavior, proximity to 52-week highs, volume dry-up, pullback structure, and breakout confirmation to generate a 0–8 “Kell Score” for every chart.
Score 5+ = A+ setup candidate
Score 7–8 = high-quality super-performance structure
Background highlights A+ bars, and a real-time scoring panel displays:
Current Kell Score
Setup quality grade
Trend/EMA alignment pass/fail
Leadership (near highs) pass/fail
Structure (pullback + volume) pass/fail
Grok/Claude Turtle Soup Alert SystemReplaces previous Turtle Soup Strategy/Indicator as Tradingview will not let me update it.
# 🥣 Turtle Soup Strategy (Enhanced)
## A Mean-Reversion Strategy Based on Failed Breakouts
---
## Historical Origins
### The Original Turtle Traders (1983-1988)
The Turtle Trading system is one of the most famous experiments in trading history. In 1983, legendary commodities trader **Richard Dennis** made a bet with his partner **William Eckhardt** about whether great traders were born or made. Dennis believed trading could be taught; Eckhardt believed it was innate.
To settle the debate, Dennis recruited 23 ordinary people through newspaper ads—including a professional blackjack player, a fantasy game designer, and an accountant—and taught them his trading system in just two weeks. He called them "Turtles" after turtle farms he had visited in Singapore, saying *"We are going to grow traders just like they grow turtles in Singapore."*
The results were extraordinary. Over the next five years, the Turtles reportedly earned over **$175 million in profits**. The experiment proved Dennis right: trading could indeed be taught.
#### The Original Turtle Rules:
- **Entry:** Buy when price breaks above the 20-day high (System 1) or 55-day high (System 2)
- **Exit:** Sell when price breaks below the 10-day low (System 1) or 20-day low (System 2)
- **Stop Loss:** 2x ATR (Average True Range) from entry
- **Position Sizing:** Based on volatility (ATR)
- **Philosophy:** Pure trend-following—catch big moves by riding breakouts
The Turtle system was a **trend-following** strategy that assumed breakouts would lead to sustained trends. It worked brilliantly in trending markets but suffered during choppy, range-bound conditions.
---
### The Turtle Soup Strategy (1990s)
In the 1990s, renowned trader **Linda Bradford Raschke** (along with Larry Connors) observed something interesting: many of the breakouts that the Turtle system traded actually *failed*. Price would spike above the 20-day high, trigger Turtle buy orders, then immediately reverse—trapping the breakout traders.
Raschke realized these failed breakouts were predictable and tradeable. She developed the **Turtle Soup** strategy, which does the *exact opposite* of the original Turtle system:
> *"Instead of buying the breakout, we wait for it to fail—then fade it."*
The name "Turtle Soup" is a clever play on words: the strategy essentially "eats" the Turtles by trading against them when their breakouts fail.
#### Original Turtle Soup Rules:
- **Setup:** Price makes a new 20-day high (or low)
- **Qualifier:** The previous 20-day high must be at least 3-4 days old (not a fresh breakout)
- **Entry Trigger:** Price reverses back inside the channel (failed breakout)
- **Entry:** Go SHORT (against the failed breakout above), or LONG (against the failed breakdown below)
- **Philosophy:** Mean-reversion—fade false breakouts and profit from trapped traders
#### Turtle Soup Plus One Variant:
Raschke also developed a more conservative variant called "Turtle Soup Plus One" which waits for the *next bar* after the breakout to confirm the failure before entering. This reduces false signals but may miss some opportunities.
---
## Our Enhanced Turtle Soup Strategy
We have taken the classic Turtle Soup concept and enhanced it with modern technical indicators and filters to improve signal quality and adapt to today's markets.
### Core Logic Preserved
The fundamental strategy remains true to Raschke's original concept:
| Turtle (Original) | Turtle Soup (Our Strategy) |
|-------------------|---------------------------|
| BUY breakout above 20-day high | SHORT when that breakout FAILS |
| SELL breakout below 20-day low | LONG when that breakdown FAILS |
| Trend-following | Mean-reversion |
| "The trend is your friend" | "Failed breakouts trap traders" |
---
### Enhancements & Improvements
#### 1. RSI Exhaustion Filter
**Addition:** RSI must confirm exhaustion before entry
- **For SHORT entries:** RSI > 60 (buyers exhausted)
- **For LONG entries:** RSI < 40 (sellers exhausted)
**Why:** The original Turtle Soup had no momentum filter. Adding RSI ensures we only fade breakouts when the market is showing signs of exhaustion, significantly reducing false signals. This enhancement was inspired by later traders who found RSI extremes (originally 90/10, softened to 60/40) dramatically improved win rates.
#### 2. ADX Trending Filter
**Addition:** ADX must be > 20 for trades to execute
**Why:** While the original Turtle Soup was designed for ranging markets, we found that requiring *some* trend strength (ADX > 20) actually improves results. This ensures we're trading in markets with enough directional movement to create meaningful failed breakouts, rather than random noise in dead markets.
#### 3. Heikin Ashi Smoothing
**Addition:** Optional Heikin Ashi calculations for breakout detection
**Why:** Heikin Ashi candles smooth out price noise and make trend reversals more visible. When enabled, the strategy uses HA values to detect breakouts and failures, reducing whipsaws from erratic price spikes.
#### 4. Dynamic Donchian Channels with Regime Detection
**Addition:** Color-coded channels based on market regime
- 🟢 **Green:** Bullish regime (uptrend + DI+ > DI- + OBV bullish)
- 🔴 **Red:** Bearish regime (downtrend + DI- > DI+ + OBV bearish)
- 🟡 **Yellow:** Neutral regime
**Why:** Visual regime detection helps traders understand the broader market context. The original Turtle Soup had no regime awareness—our enhancement lets traders see at a glance whether conditions favor the strategy.
#### 5. Volume Spike Detection (Optional)
**Addition:** Optional filter requiring volume surge on the breakout bar
**Why:** Failed breakouts are more significant when they occur on high volume. A volume spike on the breakout bar (default 1.2x average) indicates more traders got trapped, creating stronger reversal potential.
#### 6. ATR-Based Stops and Targets
**Addition:** Configurable ATR-based stop losses and profit targets
- **Stop Loss:** 1.5x ATR (default)
- **Profit Target:** 2.0x ATR (default)
**Why:** The original Turtle Soup used fixed stop placement. ATR-based stops adapt to current volatility, providing tighter stops in calm markets and wider stops in volatile conditions.
#### 7. Signal Cooldown
**Addition:** Minimum bars between trades (default 5)
**Why:** Prevents overtrading during choppy conditions where multiple failed breakouts might occur in quick succession.
#### 8. Real-Time Info Panel
**Addition:** Comprehensive dashboard showing:
- Current regime (Bullish/Bearish/Neutral)
- RSI value and zone
- ADX value and trending status
- Breakout status
- Bars since last high/low
- Current setup status
- Position status
**Why:** Gives traders instant visibility into all strategy conditions without needing to check multiple indicators.
---
## Entry Rules Summary
### SHORT Entry (Fading Failed Breakout Above)
1. ✅ Price breaks ABOVE the 20-period Donchian high
2. ✅ Previous 20-period high was at least 1 bar ago
3. ✅ Price closes back BELOW the Donchian high (failed breakout)
4. ✅ RSI > 60 (exhausted buyers)
5. ✅ ADX > 20 (trending market)
6. ✅ Cooldown period met
→ **Enter SHORT**, betting the breakout will fail
### LONG Entry (Fading Failed Breakdown Below)
1. ✅ Price breaks BELOW the 20-period Donchian low
2. ✅ Previous 20-period low was at least 1 bar ago
3. ✅ Price closes back ABOVE the Donchian low (failed breakdown)
4. ✅ RSI < 40 (exhausted sellers)
5. ✅ ADX > 20 (trending market)
6. ✅ Cooldown period met
→ **Enter LONG**, betting the breakdown will fail
---
## Exit Rules
1. **ATR Stop Loss:** Position closed if price moves 1.5x ATR against entry
2. **ATR Profit Target:** Position closed if price moves 2.0x ATR in favor
3. **Channel Exit:** Position closed if price breaks the exit channel in the opposite direction
4. **Mid-Channel Exit:** Position closed if price returns to channel midpoint
---
## Best Market Conditions
The Turtle Soup strategy performs best when:
- ✅ Markets are prone to false breakouts
- ✅ Volatility is moderate (not too low, not extreme)
- ✅ Price is oscillating within a broader range
- ✅ There are clear support/resistance levels
The strategy may struggle when:
- ❌ Strong trends persist (breakouts follow through)
- ❌ Volatility is extremely low (no meaningful breakouts)
- ❌ Markets are in news-driven directional moves
---
## Default Settings
| Parameter | Default | Description |
|-----------|---------|-------------|
| Lookback Period | 20 | Donchian channel period |
| Min Bars Since Extreme | 1 | Bars since last high/low |
| RSI Length | 14 | RSI calculation period |
| RSI Short Level | 60 | RSI must be above this for shorts |
| RSI Long Level | 40 | RSI must be below this for longs |
| ADX Length | 14 | ADX calculation period |
| ADX Threshold | 20 | Minimum ADX for trades |
| ATR Period | 20 | ATR calculation period |
| ATR Stop Multiplier | 1.5 | Stop loss distance in ATR |
| ATR Target Multiplier | 2.0 | Profit target distance in ATR |
| Cooldown Period | 5 | Minimum bars between trades |
| Volume Multiplier | 1.2 | Volume spike threshold |
---
## Philosophy
> *"The Turtle system made millions by following breakouts. The Turtle Soup strategy makes money when those breakouts fail. In trading, there's always someone on the other side of the trade—this strategy profits by being the smart money that fades the trapped breakout traders."*
The beauty of the Turtle Soup strategy is its elegant simplicity: it exploits a known, repeatable pattern (failed breakouts) while using modern filters (RSI, ADX) to improve timing and reduce false signals.
---
## Credits
- **Original Turtle System:** Richard Dennis & William Eckhardt (1983)
- **Turtle Soup Strategy:** Linda Bradford Raschke & Larry Connors (1990s)
- **RSI Enhancement:** Various traders who discovered RSI extremes improve reversal detection
- **This Implementation:** Enhanced with Heikin Ashi smoothing, regime detection, ADX filtering, and comprehensive visualization
---
*"We're not following the turtles—we're making soup out of them."* 🥣
VWAP + Scaled VIX OverlayVWAP-VIX Fusion Overlay helps traders interpret volatility in real time by placing VIX and VWAP where they belong: side-by-side with price action.
It turns the invisible (fear, volatility pressure, momentum shifts) into something clearly visible — making entries, exits, and trend evaluation easier and more accurate.
[CT] ATR Ratio MTFThis indicator is an enhanced, multi-timeframe version of the original “ATR ratio” by RafaelZioni. Huge thanks to RafaelZioni for the core concept and base logic. The script still combines an ATR-based ratio (Z-score style reading of where price sits within its recent ATR envelope) with an ATR Supertrend, but expands it into a more flexible trade-decision and visual context tool.
The ATR ratio is normalized so you can quickly see when price is pressing into extended bullish or bearish territory, while the Supertrend defines directional bias and a dynamic support-resistance trail. You can choose any higher timeframe in the settings, allowing you to run the ATR ratio and Supertrend from a larger anchor timeframe while trading on a lower chart.
Upgrades include a full Pine Script v6 rewrite, multi-timeframe support for both the ATR ratio and Supertrend, user-controlled colors for the Supertrend in bull and bear modes, and optional bar coloring so price bars automatically reflect Supertrend direction. Entry, pyramiding and take-profit logic from the original script are preserved, giving you a familiar framework with more control over timeframe, visuals and trend bias.
This indicator is designed to give you a clean directional framework that blends volatility, trend, and timing into one view. The ATR ratio side of the script shows you where price sits inside a recent ATR-based envelope. When the ATR ratio pushes up and sustains above the bullish threshold, it signals that price is trading in an extended, momentum-driven zone relative to recent volatility. When it drops and holds below the bearish threshold, it shows the opposite: sellers have pushed price down into an extended bearish zone. The optional background coloring simply makes these bullish and bearish environments easier to see at a glance.
On top of that, the Supertrend and bar colors tell you what side of the market to favor. The Supertrend is calculated from ATR on whatever timeframe you choose in the settings. If you set the MTF input to a higher timeframe, the Supertrend and ATR ratio become your higher time frame bias while you trade on a lower chart. When price is above the MTF Supertrend, the line uses your bullish color and, if bar coloring is enabled, candles adopt your bullish bar color. That is your “long only” environment: you generally look for buys when price is above the Supertrend and the ATR ratio is either turning up from neutral or already in a bullish zone. When price is below the MTF Supertrend, the line uses your bearish color and candles can shift to your bearish bar color; that is where you focus on shorts, especially when the ATR ratio is rolling over or holding in the bearish zone.
The built-in long and short conditions are meant as signal prompts, not rigid rules. Long signals fire when the ATR ratio crosses up through a positive level while the Supertrend is bullish. Short signals fire when the ATR ratio crosses down through a negative level while the Supertrend is bearish. The script tracks how many longs or shorts have been taken in sequence (pyramiding) and will only allow a new signal up to the limit you set, so you can control how aggressively you stack positions in a trend. The take-profit logic then watches the percentage move from your last entry and flags “TP” when that move has reached your take-profit percent, helping you standardize exits instead of eyeballing them bar by bar.
In practice you typically start by choosing your anchor timeframe for the MTF setting, for example a 1-hour or 4-hour Supertrend and ATR ratio while watching a 5-minute or 15-minute chart. You then use the Supertrend direction and bar colors as your bias filter, only taking signals in the direction of the trend, and you use the ATR ratio behavior to judge whether you are entering into strength, fading an extreme, or trading inside a neutral consolidation. Over time this gives you a consistent way to answer three questions on every chart: which side am I allowed to trade, how extended is price within its recent volatility, and where are my structured entries and exits based on that framework.
Dashboard AIO Pro: RSI, MACD & Stoch RSI [THF]Description:
This indicator provides a comprehensive "All-in-One" Dashboard that monitors three major momentum oscillators: RSI, MACD, and Stochastic RSI. It displays their real-time values and interprets their signals (Buy/Sell/Neutral) in a clean, customizable table directly on your chart.
Key Features:
Consolidated View: Instead of cluttering your chart with three separate indicator panes, this dashboard summarizes the market state in one compact table.
Dynamic Summary: The script calculates an "Overall Trend" based on a voting system. If 2 or more indicators agree on a direction, the summary updates to show a "Strong Trend".
Fully Customizable Colors: Users can customize the colors for Strong Buy, Buy, Sell, Strong Sell, and Neutral states via the settings menu to match their chart theme.
Alerts Included: Built-in alert conditions for "Strong Buy Consensus" and "Strong Sell Consensus".
How it Works (The Logic):
RSI (14):
Value > 70: Considered Overbought (Bearish signal).
Value < 30: Considered Oversold (Bullish signal).
MACD (12, 26, 9):
Bullish: MACD Line > Signal Line AND Histogram is rising.
Bearish: MACD Line < Signal Line AND Histogram is falling.
Stoch RSI (14, 14, 3, 3):
Evaluates K% line position relative to 80/20 levels and crossovers with D% line.
Overall Summary:
The script assigns a score (+1 for Bullish, 0 for Neutral).
If the total score >= 2, the trend is identified as "Uptrend".
If the indicators show divergent signals, the status remains "Ranging".
Settings:
You can change the length of all indicators (RSI, MACD, Stoch).
You can change the table position and text size.
Color Customization: Dedicated section to change the dashboard colors.
Dr. Barbara Star: Dual Strategies Combined [Merged] - geminiDr. Barbara Star: Dual Strategy Suite (Merged)
Overview
This script integrates two distinct but complementary trading methodologies developed by Dr. Barbara Star: "Capture Direction & Momentum" and "Profit with Dual Oscillators & Bands." While both strategies utilize price channels to filter noise, they approach entry and exit timing from different angles—one focusing on momentum shifts (Stochastic/EMA) and the other on cyclical price deviations (DPO/Bollinger Bands).
This tool allows the user to run either strategy independently or combine them to find high-confluence setups where momentum and cyclical structure align.
Strategy A: Capture Direction & Momentum
Source: Capture Direction And Momentum
1. Purpose & Theory
The goal of this method is to filter out the "noise" of choppy markets and identify the specific point where price direction aligns with momentum strength. It moves away from trying to catch exact tops or bottoms and instead focuses on catching the "meat" of the trend (continuation).
2. Implementation
Structure (The Channel): A 13-period SMA of the Highs and Lows creates a "No Trade Zone". When price is inside this channel, the market is considered directionless.
Direction (5 EMA): A fast 5-period EMA acts as a directional trigger. When it breaks outside the SMA channel, it signals acceleration.
Momentum (Modified Stochastic): A Slow Stochastic (14,2) is used, but with a crucial modification: the overbought/oversold levels are shifted to 40 and 60 (instead of 20/80).
3. How to Use It
The "Trend Zones" (Background Colors):
Green Background (Bullish): The 5 EMA is above the channel AND the Stochastic is > 60. This is the "Go" zone.
Red Background (Bearish): The 5 EMA is below the channel AND the Stochastic is < 40.
Yellow Background: The "No Trade Zone." The price is consolidating, or the indicators disagree.
The Continuation Signal (Marked by "U" or "D"):
Why it matters: This is the most powerful setup in the system. It detects when price pulls back (retracement) but momentum remains strong.
The Signal: If the 5 EMA dips back into the SMA channel (weakness) but the Stochastic stays above 60 (strength), a blue "U" (Up) marker appears. This indicates the pullback is likely a buying opportunity, not a reversal. Conversely, a yellow "D" appears in downtrends if Stoch stays below 40.
Exits (Marked by "X"):
Signals to take profit when the 5 EMA closes back inside the channel and the Stochastic crosses back into the neutral 40–60 zone.
Strategy B: Dual Oscillators & Bands
Source: Profit With Dual Oscillators & Bands
1. Purpose & Theory
This strategy uses "Dual Bollinger Bands" to define the volatility structure of the trend and "Dual Detrended Price Oscillators" (DPO) to time the entries based on cycle shifts.
2. Implementation
Structure (Dual Bands):
Inner Bands (1 SD): These define the "Trend Channel." Strong trends tend to ride between the 1 SD and 3 SD bands.
Outer Bands (3 SD): These represent extremes (containing 99.5% of price action). Hits here often signal exhaustion.
Timing (Dual DPOs):
Long Oscillator (DPO 20): Identifies the broader trend direction (Positive = Bullish).
Short Oscillator (DPO 9): Identifies shorter-term timing and potential divergences.
3. How to Use It
Identifying the Trend State:
Strong Uptrend: Price holds above the Upper Inner Band (1 SD).
Strong Downtrend: Price holds below the Lower Inner Band (1 SD).
Transition/Neutral: Price is stuck between the Upper and Lower Inner bands.
Entry Signals (Triangles on Chart & Circles in Pane):
Aggressive Entry: When the fast DPO 9 crosses zero. This signals early momentum shifts.
Conservative Entry: Wait for the slow DPO 20 to cross zero, confirming the broader trend has shifted.
Visuals: The script plots triangles on the main chart when these cross. In the lower pane, a Blue Circle indicates a bullish cross and a Yellow Circle indicates a bearish cross.
Continuation Setup:
Similar to Strategy A, look for moments where the DPO 9 dips below zero (pullback) while the DPO 20 remains above zero (trend intact). This is often a reload opportunity.
Combined Mode: The "Power Couple"
When selecting "Both" in the settings, the indicator merges these tools for maximum confirmation:
Visual filtering: The lower pane automatically scales the DPO lines to fit inside the 0–100 Stochastic range (centering the DPO zero line at 50). This allows you to read both momentum and cycles in a single glance.
Confluence Trading:
Look for the Background to turn Green (Strategy A Trend) coincident with a Blue Triangle/Circle (Strategy B Momentum Cross).
Use the Inner Bollinger Bands (Strategy B) as your trailing stop-loss while riding the SMA Channel (Strategy A) trend.
Reference Settings
Strategy A: SMA Channel (13), EMA (5), Stochastic (14, 2, 40/60 levels).
Strategy B: Bollinger Bands (20 SMA, 1.0 & 3.0 deviations), DPO (9 & 20).
Sources: of the methodologies
1-Stocks & Commodities V. 32:7 (10-16): Profit With Dual Oscillators & Bands by Barbara Star, PhD
2-Stocks & Commodities V. 43:12 (8–12): Capture Direction And Momentum by Barbara Star, PhD
MSS + Multi FVG TrackerMSS + Multi FVG Tracker
Description
An advanced institutional trading tool that combines Market Structure Shift (MSS) detection with multi-level Fair Value Gap (FVG) tracking. This indicator identifies breakouts of previous swing highs/lows on higher timeframes, then systematically tracks and validates multiple FVGs within each trend direction, generating precise entry signals when price respects the gap structure.
How It Works
Higher Timeframe Trend Detection
The indicator analyzes a higher timeframe (default 15-minute) to determine the overall bias, displaying background colors that show bullish or bearish directionality. This ensures you only trade with institutional trend direction.
Market Structure Shift (MSS/BOS)
When price closes above a previous swing high (in uptrends) or below a previous swing low (in downtrends), a BOS (Break of Structure) is marked with a line and label. This signals that the institutional structure has shifted and a new trend impulse is beginning.
Multi-Level FVG Tracking
Once an MSS occurs:
The indicator begins scanning for Fair Value Gaps (gaps between candles where no trading occurred)
Bullish FVGs: Gaps above the closing price of a bearish candle (low > high )
Bearish FVGs: Gaps below the closing price of a bullish candle (high < low )
Multiple FVGs are tracked simultaneously (up to 5 configurable) across the same impulse
Intelligent FVG Validation
Each FVG is continuously monitored:
Invalidated: If price closes through the gap (below a bullish FVG or above a bearish FVG), it's automatically deleted
Touched: If price enters the gap zone, it's marked as "touched"
Signal Generated: When a touched FVG shows strong directional confirmation (bullish candle closing above the FVG top, or bearish candle closing below the FVG bottom), a LONG or SHORT signal is triggered
Key Features
HTF Trend Confirmation: Only trades aligned with higher timeframe bias (eliminates counter-trend noise)
Multi-FVG Architecture: Tracks up to 5 gaps per trend impulse simultaneously
Automatic Gap Invalidation: Removes FVGs that break below/above, keeping only valid levels
Smart Signal Generation: Entry signals require both FVG respect + directional confirmation
Color-Coded Structure: Bullish signals in green, bearish in red with instant visual clarity
Background Trend Visualization: Subtle background shading shows HTF bias at all times
Customizable Parameters: Adjust swing period, HTF timeframe, and max FVGs to track
Ideal For
ICT Smart Money traders using FVG + MSS methodologies
Institutional order flow analysts trading market structure
Multi-timeframe traders looking for confluence-based entries
Scalpers to swing traders on 5-minute to 1-hour charts
Anyone seeking high-probability setups with clear invalidation rules
Trading Applications
Scalp FVG reversals: Enter when price respects a touched FVG with confirmation
Trade impulses with structure: Follow MSS with FVG confluence for institutional-grade entries
Identify pullback opportunities: Track multiple FVGs during retracements for re-entry zones
Confirm breakout validity: Only take breaks when aligned with HTF trend + FVG structure
Avoid false breakouts: Invalidated FVGs signal that the move is losing structure
How to Use
Wait for the MSS: Background color shift + BOS line confirms market structure break
Monitor FVG Creation: Boxes appear as gaps form within the new impulse
Watch for Invalidation: Red boxes disappear if price breaks the gap—signal invalid
Wait for Touch + Confirmation: FVG must be touched AND show strong directional candle
Take the Signal: Triangle entry markers appear with audio/visual alerts
Clear Risk Management: Use the invalidated FVG level as your stop loss
Signal Strength Indicators
Strongest Setup: Multiple FVGs created + one respects while others invalidate (shows structure)
Medium Setup: Single FVG touched and confirmed
Weaker Setup: Quick touch with weak confirmation candle (wait for better structure)
Customization Options
HTF Timeframe: Change from 15-min to 5, 30, 60 min or higher for different trading styles
Swing Period: Adjust from 10 bars for faster detection to 20+ for structural shifts
Max FVGs: Track 1-5 simultaneous gaps (lower = cleaner, higher = more opportunities)
Colors: Customize bullish/bearish colors to match your chart theme
Default Settings Optimized For
NASDAQ futures and liquid forex pairs
5-minute to 1-hour timeframe trading
Smart Money / ICT methodology
High-probability impulse + gap trading
Pro Tips
The cleaner your chart (fewer invalidated FVGs), the stronger the structural move
Multiple valid FVGs in one impulse suggest institutional accumulation/distribution
HTF background color changes are early warnings of trend structure shift
Best setups occur when 2-3 FVGs exist and one shows clear confirmation
Ultimate AIO Scalper & Trend PRO [THF] V2.0This is a comprehensive "All-In-One" trading suite designed to identify high-probability setups by combining **Trend Following**, **Price Action (FVG)**, and **Ichimoku Cloud** systems.
The indicator is designed to be "Ready-to-Trade" out of the box, with all major confluence filters active by default. It helps traders avoid false signals by ensuring that momentum, trend, and support/resistance levels are in alignment.
### 🛠️ Key Features & Components:
**1. Trend & Scalp Engine:**
* **Scalp Signals:** Fast EMA crossovers (7/21) for quick entries.
* **Trend Filter:** Signals are filtered by a long-term SMA (200) to ensure you are trading with the dominant trend.
* **Golden/Death Cross:** Automatically highlights major trend shifts (SMA 50 crossing SMA 200).
**2. Price Action (Fair Value Gaps):**
* **FVG Detection:** Highlights unmitigated Bullish and Bearish imbalance zones. These act as high-probability targets or re-entry zones.
* **Dashboard:** A built-in panel tracks the number of active vs. mitigated gaps.
* **Mitigation Lines:** Automatically draws lines when price tests an FVG level.
**3. Ichimoku Cloud Overlay:**
* Displays the full Ichimoku system (Tenkan, Kijun, and Kumo Cloud) to identify dynamic support/resistance and trend strength.
* **Usage:** Perfect for confirming breakout signals when price is above/below the Cloud.
**4. Momentum & Volume:**
* **Volume Coloring:** Bars are colored based on relative volume strength.
* **RSI & MACD:** Integrated buy/sell signals to spot overbought/oversold conditions instantly.
### 🎯 How to Trade (Confluence Strategy):
The power of this script lies in **Confluence** (multiple indicators agreeing):
* **Buy Setup:**
1. Price is above the **Ichimoku Cloud** and **SMA 200**.
2. Wait for a **"SCALP BUY"** signal or **"Trend BUY"** label.
3. Confirm that price is reacting to a **Bullish FVG** (Green Box).
4. **RSI/MACD** should show bullish momentum.
* **Sell Setup:**
1. Price is below the **Ichimoku Cloud** and **SMA 200**.
2. Wait for a **"SCALP SELL"** signal.
3. Confirm rejection from a **Bearish FVG** (Red Box).
---
**CREDITS & ATTRIBUTION:**
* **Fair Value Gap Logic:** This script utilizes the open-source FVG calculation method originally developed by **LuxAlgo**. We have integrated this logic with our custom trend system to provide a complete trading view.
* **Trend Logic:** Custom compilation of Moving Average crossovers and Ichimoku standard calculations.
*Disclaimer: This tool is for educational purposes only. Always manage your risk.*
Wyckoff + VSA Ultimate - Complete Market Analysis
**Wyckoff + VSA Ultimate** combines three proven methodologies into one powerful indicator:
🔷 **Wyckoff Method** - Identifies market accumulation and distribution phases
🔷 **Volume Spread Analysis** - Confirms moves with volume and price spread
🔷 **Random Walk Index** - Validates trend strength and direction
**MAIN SIGNALS:**
📊 **Wyckoff Signals** (Green = Bullish, Red = Bearish)
• SC (Selling Climax) - Major buying opportunity
• BC (Buying Climax) - Major selling opportunity
• AR (Automatic Rally) - Confirms accumulation
• DAR (Automatic Reaction) - Confirms distribution
• ST (Secondary Test) - Final test before move
📊 **VSA Patterns**
• Upthrust bars (weakness after rally)
• Reverse upthrust (strength after decline)
• No demand/supply bars
• Stopping volume
• Effort failures
**KEY FEATURES:**
✅ Multiple signal confirmation reduces false signals
✅ Real-time info table shows phase, volume, trends
✅ Dynamic stop loss levels calculated automatically
✅ Accumulation/Distribution boxes on chart
✅ Customizable filters for your trading style
✅ 12 alert conditions for all major signals
**HOW TO USE:**
For Swing Trading (4H/Daily):
1. Enable "Require VSA Confirmation"
2. Wait for SC or BC signals
3. Use displayed stop levels
4. Target next opposite phase
For Day Trading (15m/1H):
1. Enable "Require Trend Confirmation"
2. Trade only trend-aligned signals
3. Increase volume threshold to 1.5
4. Use tighter risk management
**BEST FOR:**
✅ Stocks (high volume)
✅ Forex majors
✅ Crypto (BTC, ETH)
✅ Index futures
**SETTINGS:**
Customize everything:
• RSI & Pivot parameters
• Volume & Spread analysis
• Trend periods (RWI)
• Signal filters
• Visual display options
**ALERTS:**
Pre-configured alerts for:
• All Wyckoff signals
• VSA reversals
• Strong buy/sell combinations
**Credits:** Integrates Wyckoff (faytterro) and VSA (theehoganator) methods.
**Disclaimer:** Educational purposes only. Use proper risk management. Past performance doesn't guarantee future results.
---
Pine Script™ v6
---
Clean Industry DataClean Industry Data – Overview
Clean Industry Data is a utility tool designed to give traders an instant, structured view of key fundamental and volatility metrics directly on the chart. The script displays a compact, customizable information panel containing:
Industry & Sector
Market Cap and Free-Float Market Cap
Free-Float Percentage
Average Daily Rupee Volume
Relative Volume (R.Vol) based on daily volume
% from 10 / 21 / 50 EMAs (calculated on daily closes)
ADR (14-day) with threshold-based indicators
ATR (current timeframe) with colour-coded risk cues
All volume-based statistics are anchored to daily data, ensuring the values remain consistent across all timeframes. The display table supports flexible positioning, custom background/text colours, and adjustable text size.
This script is ideal for traders who want a quick, accurate snapshot of a stock’s liquidity, volatility, and broader classification — without digging through multiple menus or external sources.
Sector Rotation - Risk Preference Indicator# Sector Rotation - Risk Preference Indicator
## Overview
This indicator measures market risk appetite by comparing the relative strength between **Aggressive** and **Defensive** sectors. It provides a clean, single-line visualization to help traders identify market sentiment shifts and potential trend reversals.
## How It Works
The indicator calculates a **Bullish/Bearish Ratio** by dividing the average price of aggressive sector ETFs by defensive sector ETFs, then normalizing to a baseline of 100.
**Formula:**
- Ratio = (Aggressive Sectors Average / Defensive Sectors Average) × 100
**Interpretation:**
- **Ratio > 100**: Risk-on sentiment (Aggressive sectors outperforming Defensive)
- **Ratio < 100**: Risk-off sentiment (Defensive sectors outperforming Aggressive)
- **Ratio ≈ 100**: Neutral (Both sector groups performing equally)
## Default Sectors
**Defensive Sectors** (Safe havens during uncertainty):
- XLP - Consumer Staples Select Sector SPDR Fund
- XLU - Utilities Select Sector SPDR Fund
- XLV - Health Care Select Sector SPDR Fund
**Aggressive Sectors** (Growth-oriented, higher risk):
- XLK - Technology Select Sector SPDR Fund
- XBI - SPDR S&P Biotech ETF
- XRT - SPDR S&P Retail ETF
## Features
✅ **Fully Customizable Sectors** - Choose any ETFs/tickers for each sector group
✅ **Smoothing Control** - Adjustable SMA period to reduce noise (default: 2)
✅ **Clean Visualization** - Single blue line for easy interpretation
✅ **Multi-timeframe Support** - Works on any timeframe
✅ **Lightweight** - Minimal calculations for fast performance
## Settings
### Defensive Sectors Group
- **Defensive Sector 1**: First defensive ETF ticker (default: XLP)
- **Defensive Sector 2**: Second defensive ETF ticker (default: XLU)
- **Defensive Sector 3**: Third defensive ETF ticker (default: XLV)
### Aggressive Sectors Group
- **Aggressive Sector 1**: First aggressive ETF ticker (default: XLK)
- **Aggressive Sector 2**: Second aggressive ETF ticker (default: XBI)
- **Aggressive Sector 3**: Third aggressive ETF ticker (default: XRT)
### Display Settings
- **Smoothing Length**: SMA period for ratio smoothing (default: 2, range: 1-50)
- Lower values = More responsive but noisier
- Higher values = Smoother but more lagging
## Use Cases
### 1. Market Regime Identification
- **Rising Ratio (trending up)** → Bull market / Risk-on environment
- Aggressive sectors leading, investors chasing growth
- Favorable for long positions in tech, growth stocks
- **Falling Ratio (trending down)** → Bear market / Risk-off environment
- Defensive sectors leading, investors seeking safety
- Consider defensive positioning or short opportunities
### 2. Divergence Analysis
- **Bullish Divergence**: Price makes new lows but ratio rises
- Suggests underlying strength returning
- Potential market bottom forming
- **Bearish Divergence**: Price makes new highs but ratio falls
- Suggests weakening momentum
- Potential market top forming
### 3. Trend Confirmation
- **Strong uptrend + Rising ratio** → Confirmed bullish trend
- **Strong downtrend + Falling ratio** → Confirmed bearish trend
- **Uptrend + Falling ratio** → Weakening trend, watch for reversal
- **Downtrend + Rising ratio** → Potential trend exhaustion
## Best Practices
⚠️ **Timeframe Selection**
- Recommended: Daily, 4H, 1H for cleaner signals
- Lower timeframes (15m, 5m) may produce noisy signals
⚠️ **Complementary Analysis**
- Use alongside price action and volume analysis
- Combine with support/resistance levels
- Not designed as a standalone trading system
⚠️ **Market Conditions**
- Most effective in trending markets
- Less reliable during ranging/consolidation periods
- Works best in liquid, well-traded sectors
⚠️ **Customization Tips**
- Can substitute with international sectors (EWU, EWZ, etc.)
- Can use crypto sectors (DeFi vs Layer1, etc.)
- Adjust smoothing based on trading style (day trading = 2-5, swing = 10-20)
## Display Options
### Default View (overlay=false)
- Shows in separate pane below chart
- Dedicated scale for ratio values
### Alternative View
- Can be moved to main chart pane (drag indicator)
I typically overlay this indicator on the SPY daily chart to observe divergences. I don’t focus on specific values but rather on the direction of the trend.
The author is not responsible for any trading losses incurred using this indicator.
## Support & Feedback
For questions, feature requests, or bug reports:
- Comment below
- Send a private message
- Check for updates regularly
If you find this indicator useful, please:
- ⭐ Leave a like/favorite
- 💬 Share your experience in comments
- 📊 Share charts showing interesting patterns
Sequential Exhaustion 9/13 [Crypto Filter] - PyraTimeConcept: The Exhaustion Meter
This indicator is a customized version of the Sequential count, a powerful tool used by institutional traders to measure buyer and seller exhaustion. It looks for a sequence of 9 (Setup) or 13 (Countdown) consecutive candles that satisfy specific price criteria.
The purpose is simple: To tell you when a trend has run out of fuel.
Key Differentiators (The Value)
Due to the high volatility of the crypto market, standard Sequential indicators print too many false signals ("13s") during a strong trend. This custom version solves that problem with two core filters:
1. Trend Filter (EMA 200): If enabled, the indicator will automatically hide all Sell signals when the price is above the 200 EMA, protecting the user from shorting an uptrend (and vice-versa).
2. Color Confirmation: It will not print a signal unless the closing candle color matches the direction (e.g., no Red 13 sell signals on Green Candles). This drastically cleans up the chart.
Understanding the Numbers
The numbers appearing above and below the candles are your exhaustion meter.
* The "9" (Setup): Indicates a short-term trend is nearing exhaustion.
* The "13" (Countdown): Indicates the trend is statistically complete and a reversal is highly probable.
The Actionable Strategy (The PyraTime Rule)
This indicator is designed to be your Exit Tool. Use it to determine when to take profit from an existing trade.
* Example: You enter Long at the GPM Time Line. When the PyraTD prints a Red 9 or Red 13, you take profit immediately.
Final Note
Use the integrated visibility settings to turn off signals (e.g., hide 9s or Sells) to customize the view to your preferred trading style.
Disclaimer: This tool measures mathematical exhaustion and is part of the PyraTime system. It is not financial advice.
MTF Trading Helper & Multi AlertsHi dear fellows, I´m using this indicator for my trading, so every then and when I will publish updates on this one.
This indicator should help to identify the right trading setup. I´m using it to trade index futures and stocks.
MTF Trading Helper & Multi Alerts
Overview
This indicator provides a clear visual representation of trend direction across three timeframes. It helps traders identify trend alignment, potential reversals, and optimal entry/exit points by analyzing the relationship between different smoothed timeframes.
You can set up multiple alerts (as one alert in Tradingview)
How It Works
The indicator displays three colored circles representing the smoothed candle direction on three different timeframes:
Bottom plot represents the overall trend direction, the plot in the middle shows intermediate momentum, and the one on top captures short-term price action.
When a color change occurs, the circle appears in a darker shade to highlight the transition.
🟢 Green = Bullish - 🔴 Red = Bearish
This change can also trigger multiple alerts.
Timeframe Settings - important
Choose between two trading setups, either for:
Intraday 1-minute candles or 1h for swing trading. Set up your chart accordingly to that timeframe.
Intraday | 1Min chart candles
Swing | 1 hour chart candles
Plots
TF3 represents the overall trend direction (bottom), TF2 shows intermediate momentum (middle), and TF1 captures short-term price action (top).
Interpretation & Strategy Alerts
1. Trend Bullish (TF3 turns Green)
The higher timeframe has shifted bullish - a potential new uptrend is forming.
Example: You're watching ES-mini on the Intraday setting. TF3 turns green after being red for several days. This signals the broader trend may be shifting bullish - consider looking for long opportunities.
2. Trend Bearish (TF3 turns Red)
The higher timeframe has shifted bearish - consider protecting profits or exiting long positions.
Example: You hold a long position in Es-mini. TF3 turns red, indicating the macro trend is weakening. This is your signal to take profits or tighten stop-losses.
3. Possible Accumulation (TF3 Red + TF2 turns Green)
While the overall trend is still bearish, the medium timeframe shows buying pressure. Smart money may be accumulating - watch closely for a potential trend reversal.
Example: Es-mini has been in a downtrend (TF3 red). Suddenly TF2 turns green while TF3 remains red. This could indicate institutional buying before a reversal. Don't buy yet, but add it to your watchlist and wait for confirmation.
4. Trend Continuation (TF3 Green + TF2 turns Green)
The medium timeframe realigns with the bullish macro trend - a potential buying opportunity as momentum returns to the uptrend.
Example: Es-mini is in an uptrend (TF3 green). After a pullback, TF2 was red but now turns green again. The pullback appears to be over - this is a trend continuation signal and a potential entry point.
5. Buy the Dip (TF3 + TF2 Green + TF1 turns Green)
All timeframes are now aligned bullish. The short-term pullback is complete and price is resuming the uptrend - optimal entry for short-term trades.
Example: Es-mini is trending up (TF3 + TF2 green). A small dip caused TF1 to turn red briefly. When TF1 turns green again, all three timeframes are aligned - this is your "Buy the Dip" signal with strong confirmation.
6. Sell the Dip (TF3 + TF2 Green + TF1 turns Red)
Short-term weakness within an uptrend. This can be used to take partial profits, wait for a better entry, or trail stops tighter.
Example: You're long on ES-mini with TF3 and TF2 green. TF1 turns red, indicating short-term selling pressure. Consider taking partial profits here and wait for TF1 to turn green again (Buy the Dip) to add back to your position.
How to Use
Choose your scenario: Select "Intraday" 1min-chart for day trading or "Swing" 1h-chart for swingtrading
Enable alerts: Turn on the strategy alerts you want to receive in the settings
Wait for signals: Let the indicator notify you when conditions align
Confirm with price action: Always use additional confirmation before entering trades
Best Practices
✅ Use TF3 as your trend filter - only take longs when TF3 turns green and hold them :)
✅ Use TF2 for timing - wait for TF2 to align with TF3 for swings.
✅ Use TF2 for early entries (accumulation phase) when TF3 is still red. Watch out!
✅ Use TF1 for entries when TF3 and TF2 are green. Only buy if TF1 is red. Keep it short and sweet.
✅ Combine with support/resistance levels for better entries
✅ Use proper risk management - no indicator is 100% accurate
Disclaimer
This indicator is for educational purposes only. Past performance does not guarantee future results. Always do your own research and use proper risk management. Never risk more than you can afford to lose.
Viprasol Elite Advanced Pattern Scanner# 🚀 Viprasol Elite Advanced Pattern Scanner
## Overview
The **Viprasol Elite Advanced Pattern Scanner** is a sophisticated technical analysis tool designed to identify high-probability double bottom (DISCOUNT) and double top (PREMIUM) patterns with unprecedented accuracy. Unlike basic pattern detectors, this elite scanner employs an AI-powered quality scoring system to filter out false signals and highlight only the most reliable trading opportunities.
## 🎯 Key Features
### Advanced Pattern Detection
- **DISCOUNT Patterns** (Double Bottoms): Identifies bullish reversal zones where price may bounce
- **PREMIUM Patterns** (Double Tops): Detects bearish reversal zones where price may decline
- Multi-point validation system (5-point structure)
- Symmetry analysis with customizable tolerance
### 🤖 AI Quality Scoring System
Each pattern receives a quality score (0-100) based on:
- **Symmetry Analysis** (32% weight): How closely the two bottoms/tops match
- **Trend Context** (22% weight): Strength of the preceding trend using ADX
- **Volume Profile** (22% weight): Volume confirmation at key points
- **Pattern Depth** (16% weight): Significance of the pattern's price range
- **Structure Quality** (16% weight): Overall pattern formation quality
Quality Grades:
- ⭐ **ELITE** (88-100): Highest probability setups
- ✨ **VERY STRONG** (77-87): Strong trade opportunities
- ✓ **STRONG** (67-76): Valid patterns with good potential
- ○ **VALID** (65-66): Acceptable patterns meeting minimum criteria
### 🎯 Intelligent Target System
Three target modes per pattern direction:
- **Conservative**: 0.618 Fibonacci extension (safer, closer targets)
- **Balanced**: 1.0 extension (moderate risk/reward)
- **Aggressive**: 1.618 extension (higher risk/reward)
Targets automatically adjust based on pattern quality score.
### 🔧 Advanced Filtering Options
- **Volatility Filter (ATR)**: Excludes patterns during extreme volatility
- **Momentum Filter (ADX)**: Ensures sufficient trend strength
- **Liquidity Filter (Volume)**: Confirms adequate trading volume
### 📊 Pattern Lifecycle Management
- Real-time neckline tracking with extension multiplier
- Pattern invalidation after extended wait period
- Breakout/breakdown confirmation
- Reversal detection (pattern failure scenarios)
- Target achievement tracking
### 🌈 Premium Visual System
- Color-coded quality levels
- Cyber-themed color scheme (Neon Green/Hot Pink/Purple/Cyan)
- Transparent fills for pattern zones
- Dynamic labels with pattern information
- Elite dashboard showing live pattern stats
## 📈 How To Use
### Basic Setup
1. Add indicator to your chart
2. Enable desired patterns (DISCOUNT and/or PREMIUM)
3. Adjust quality threshold (default: 65) - higher = fewer but better signals
4. Set your preferred target mode
### Trading DISCOUNT Patterns (Bullish)
1. Wait for pattern detection (labeled points 1-4)
2. Check quality score on dashboard
3. Entry on breakout above neckline (point 5)
4. Stop loss below the lowest bottom
5. Target shown automatically based on your mode
6. ⚠️ Watch for pattern failure (break below bottoms = SHORT signal)
### Trading PREMIUM Patterns (Bearish)
1. Wait for pattern detection (labeled points 1-4)
2. Check quality score on dashboard
3. Entry on breakdown below neckline (point 5)
4. Stop loss above the highest top
5. Target shown automatically based on your mode
6. ⚠️ Watch for pattern failure (break above tops = LONG signal)
## ⚙️ Input Settings Guide
### 🔍 Detection Engine
- **Left/Right Pivots**: Higher = fewer but cleaner patterns (default: 6/4)
- **Min Pattern Width**: Minimum bars between bottoms/tops (default: 12)
- **Symmetry Tolerance**: Max % difference allowed between levels (default: 1.8%)
- **Extension Multiplier**: How long to wait for breakout (default: 2.2x pattern width)
### ⭐ Quality AI
- **Min Quality Score**: Only show patterns above this score (default: 65)
- **Weight Distribution**: Customize what matters most (symmetry/trend/volume/depth/structure)
### 🔧 Filters
- **Volatility Filter**: Avoid choppy markets (recommended: ON)
- **Momentum Filter**: Ensure trend strength (recommended: ON)
- **Liquidity Filter**: Volume confirmation (recommended: ON)
### 💎 Target System
- Choose target aggression for each pattern type and direction
- Higher quality patterns get adjusted targets automatically
## 🎨 Visual Customization
- Adjust colors for DISCOUNT/PREMIUM patterns
- Set quality-based color coding
- Customize label sizes
- Toggle dashboard visibility and position
- Show/hide historical patterns
## 🚨 Alert System
Set up TradingView alerts for:
- 🚀 **LONG Signals**: DISCOUNT breakout, PREMIUM failure
- 📉 **SHORT Signals**: PREMIUM breakdown, DISCOUNT failure
- ✅ **Target Achievement**: When price hits your target
## 💡 Pro Tips
1. **Higher Timeframes = Better Signals**: Patterns on 4H, Daily, Weekly are more reliable
2. **Quality Over Quantity**: Focus on ELITE and VERY STRONG grades
3. **Combine with Trend**: DISCOUNT in uptrend, PREMIUM in downtrend = best results
4. **Watch Pattern Failures**: Failed patterns often provide strong counter-trend signals
5. **Adjust for Your Style**: Intraday traders use Conservative, swing traders use Aggressive
## 🔒 Pattern Invalidation
Patterns become invalid if:
- No breakout/breakdown within extension period
- Support/resistance levels are broken prematurely
- Pattern shown in faded colors = no longer active
## ⚠️ Risk Disclaimer
This indicator is a tool for technical analysis and does not guarantee profitable trades. Always:
- Use proper risk management
- Combine with other analysis methods
- Never risk more than you can afford to lose
- Past performance does not indicate future results
Harmonic Sniper Trigger [Fisher] - PyraTime**Concept: Precision Momentum**
The Harmonic Sniper Trigger is a custom-tuned implementation of the Fisher Transform, designed specifically to identify sharp market reversals with zero lag. Unlike standard moving averages that react slowly to price changes, the Fisher Transform uses Gaussian probability to convert price into a normal distribution, creating clear, sharp turning points.
This indicator serves as the *Trigger* component of the PyraTime system. While Time Cycles tell you *when* to look, this indicator tells you *what* to do.
Key Features
Visual Signal Markers : Prints clear "B" (Buy) and "S" (Sell) labels on the oscillator pane for instant recognition.
Trend Fills : Dynamic Green/Red shading between the signal lines makes it easy to identify trend direction at a glance.
Integrated Alerts: Fully compatible with TradingView alerts, allowing you to be notified the second momentum flips.
How to Use This Indicator
This tool is designed to filter out noise and identify the exact moment a trend reverses.
1. Wait for the Setup: Do not trade every signal. This indicator is most powerful when price is approaching a key support/resistance level or a specific Time Pivot.
2. The Trigger: When the Fisher line crosses the Signal line (changing from Red to Green or vice versa), it confirms that momentum has mathematically shifted.
3. The Execution: Use this crossover as your entry signal *only* if it aligns with your broader market thesis.
Best Practice:
Use this in conjunction with a Time-Cycle indicator (such as the GPM Architecture).
Scenario: Price hits a Vertical Time Line.
Action: Wait for this Fisher indicator to print a "B" or "S".
Result: You enter exactly at the pivot, minimizing drawdown.
Disclaimer: This tool is for technical analysis purposes only. Past performance does not guarantee future results.
Zig Zag & Trendlines with Dynamic Threshold ATRPercentage Zig Zag with Dynamic Threshold
This Pine Script indicator is an advanced Zig Zag tool that identifies and tracks price pivots based on a percentage move required for reversal, offering a clear visual representation of volatility-adjusted trends.
Core Functionality (The Reversal Threshold):
Unlike standard Zig Zag indicators that use a fixed price difference, this indicator calculates the required reversal size (%X) dynamically using the Average True Range (ATR).
It calculates the ATR as a percentage of the current price (ATR%).
The final threshold is this ATR% multiplied by a user-defined factor (default 3x).
This means the reversal threshold is wider during volatile periods and narrower during quiet periods, adapting automatically to market conditions. Users can optionally revert to a fixed percentage if desired.
Trend Extension Lines:
The indicator draws two unique, dynamic trend lines connecting the last two significant Highs and the last two significant Lows. Crucially, these lines do not wait for the entire Zig Zag leg to confirm:
If the price is actively forming a new up-leg, the High Extension Line connects the last confirmed High to the current extreme high of the active move.
The Low Extension Line functions similarly for the downtrend.
This feature allows the user to visualize dynamic support and resistance levels based on the current, active trend structure defined by the percentage threshold.
Apex Trend & Liquidity Master (SMC)v7.2The Apex Trend & Liquidity Master (SMC)v7.2 is a comprehensive trading system designed to solve a specific problem: how to integrate Trend Following, Classic Supply & Demand, and Smart Money Concepts (SMC) onto a single chart without creating visual chaos.
Most indicators force traders to choose between high-lag trend filters or noisy price action concepts. This script combines both into a unified workflow. It uses a sophisticated "Ghost Mode" transparency engine to keep internal market structures subtle, ensuring the trader's focus remains on price action and the dominant trend.
Core Philosophy
This tool operates on the principle of "External Trend, Internal Liquidity." It forces the trader to respect the macro direction (Trend Cloud) while using micro-structure (FVGs, Order Blocks) for precision entries.
Key Features
Trend Architecture (The Context) The foundation of the script is a dynamic Hull Moving Average (HMA) combined with ATR volatility bands. This creates a "Trend Cloud" that visualizes the dominant market state.
Teal Cloud: Bullish Context (Look for Longs).
Maroon Cloud: Bearish Context (Look for Shorts).
Classic Liquidity (The Targets) The script identifies major Swing Highs and Swing Lows based on pivot sensitivity. These are rendered as solid blocks and represent "External Liquidity." These are your primary Take Profit targets or major reversal zones.
Smart Money Concepts (The Entry) The script automatically detects internal market structure, including:
BOS (Break of Structure): Signals trend continuation.
CHoCH (Change of Character): Signals potential trend reversal.
Order Blocks & FVGs: Institutional footprints that act as magnets for price. These feature "Ghost Mode" styling (high transparency, no borders) and "Auto-Mitigation" (they are deleted immediately when price closes through them) to keep the chart clean.
Signal & Risk Engine
Entry Signals: Momentum-based Buy/Sell labels that filter out chop using ADX.
Trailing Stop: A Chandelier-style ATR trailing stop line to assist in trade management and locking in profits.
Visual Legend & Color Hierarchy
To allow for instant chart processing, the colors follow a strict hierarchy:
Context (Dark/Deep Colors): The Trend Cloud and Bar Colors use Deep Teal and Maroon. These indicate the background environment.
Action (Neon Colors): Signals, BOS/CHoCH lines, and the Trailing Stop use Neon Green and Neon Red. These require immediate attention.
Major Levels (Solid Colors): Classic Supply & Demand zones use Standard Forest Green and Brick Red. These are hard targets.
Internal Zones (Pale/Ghost Colors): Order Blocks and FVGs use Pale Mint and Pale Rose with high transparency. These are background areas of interest for entries.
How to Use This Indicator
For the highest probability setups, use a "Confluence Approach" rather than trading signals in isolation:
Identify Direction: Look at the Trend Cloud. Do not trade against the color of the cloud.
Wait for Pullback: Wait for price to retrace into a "Ghost Zone" (Fair Value Gap or Order Block) nested inside the trend.
Wait for Trigger: Look for a Neon "Buy" or "Sell" signal, or a BOS line break in the direction of the trend.
Manage Risk: Use the Trailing Stop line to manage your position.
Target Liquidity: Aim for the solid Classic Supply/Demand zones as exit points.
Settings & Customization
Trend Length: Default is 55 (Swing). Lower this to 20-30 for Scalping.
Signal Toggles: Signals and Trailing Stops are enabled by default but can be toggled off for a pure price-action view.
Sensitivity: The Pivot Lookback (Default 10) controls how many Supply/Demand zones appear.
Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Trading in financial markets involves a high degree of risk, and you should not trade with money you cannot afford to lose. Past performance of any trading system or methodology is not necessarily indicative of future results. Always perform your own due diligence and use proper risk management.
Renko ScalperWhat it is-
A lightweight Renko Scalper that combines Renko brick direction with an internal EMA trend filter and MACD confirmation to signal high-probability short-term entries. EMAs are used internally (hidden from the chart) so the visual remains uncluttered.
Signals-
Buy arrow: Renko direction turns bullish AND EMA trend up AND MACD histogram positive.
Sell arrow: Renko direction turns bearish AND EMA trend down AND MACD histogram negative.
Consecutive same-direction signals are suppressed (only one arrow per direction until opposite signal).
Visuals-
Buy / Sell arrows (large) above/below bars.
Chart background tints green/red after the respective signal for easy glance recognition.
Inputs:-
Renko Box Size (points)
EMA Fast / EMA Slow
MACD fast/slow/signal lengths
How to use-
Add to chart
Use smaller Renko box sizes for scalping, larger for swing-like entries.
Confirm signal with price action and volume—this indicator is a signal generator, not a full automated system.
Use alerts (built in) to receive Buy / Sell arrow notifications.
Alerts-
Buy Arrow — buySignal
Sell Arrow — sellSignal
Buy Background / Sell Background — background-color state alerts
Recommended settings-
Timeframes: 1m–15m for scalping, 5m for balanced intraday.
Symbols: liquid futures/currency pairs/major crypto.
Disclaimer
This script is educational and not financial advice. Backtest and forward test on a demo account before live use. Past performance is not indicative of future results. Use proper risk management.
THF Ultimate AIO Scalper & Trend PRO This is a comprehensive "All-In-One" trading suite designed to identify high-probability setups by combining **Trend Following**, **Price Action (FVG)**, and **Ichimoku Cloud** systems.
The indicator is designed to be "Ready-to-Trade" out of the box, with all major confluence filters active by default. It helps traders avoid false signals by ensuring that momentum, trend, and support/resistance levels are in alignment.
### 🛠️ Key Features & Components:
**1. Trend & Scalp Engine:**
* **Scalp Signals:** Fast EMA crossovers (7/21) for quick entries.
* **Trend Filter:** Signals are filtered by a long-term SMA (200) to ensure you are trading with the dominant trend.
* **Golden/Death Cross:** Automatically highlights major trend shifts (SMA 50 crossing SMA 200).
**2. Price Action (Fair Value Gaps):**
* **FVG Detection:** Highlights unmitigated Bullish and Bearish imbalance zones. These act as high-probability targets or re-entry zones.
* **Dashboard:** A built-in panel tracks the number of active vs. mitigated gaps.
* **Mitigation Lines:** Automatically draws lines when price tests an FVG level.
**3. Ichimoku Cloud Overlay:**
* Displays the full Ichimoku system (Tenkan, Kijun, and Kumo Cloud) to identify dynamic support/resistance and trend strength.
* **Usage:** Perfect for confirming breakout signals when price is above/below the Cloud.
**4. Momentum & Volume:**
* **Volume Coloring:** Bars are colored based on relative volume strength.
* **RSI & MACD:** Integrated buy/sell signals to spot overbought/oversold conditions instantly.
### 🎯 How to Trade (Confluence Strategy):
The power of this script lies in **Confluence** (multiple indicators agreeing):
* **Buy Setup:**
1. Price is above the **Ichimoku Cloud** and **SMA 200**.
2. Wait for a **"SCALP BUY"** signal or **"Trend BUY"** label.
3. Confirm that price is reacting to a **Bullish FVG** (Green Box).
4. **RSI/MACD** should show bullish momentum.
* **Sell Setup:**
1. Price is below the **Ichimoku Cloud** and **SMA 200**.
2. Wait for a **"SCALP SELL"** signal.
3. Confirm rejection from a **Bearish FVG** (Red Box).
---
**CREDITS & ATTRIBUTION:**
* **Fair Value Gap Logic:** This script utilizes the open-source FVG calculation method originally developed by **LuxAlgo**. We have integrated this logic with our custom trend system to provide a complete trading view.
* **Trend Logic:** Custom compilation of Moving Average crossovers and Ichimoku standard calculations.
*Disclaimer: This tool is for educational purposes only. Always manage your risk.*
Hurst Exponent - Detrended Fluctuation AnalysisIn stochastic processes, chaos theory and time series analysis, detrended fluctuation analysis (DFA) is a method for determining the statistical self-affinity of a signal. It is useful for analyzing time series that appear to be long-memory processes and noise.
█ OVERVIEW
We have introduced the concept of Hurst Exponent in our previous open indicator Hurst Exponent (Simple). It is an indicator that measures market state from autocorrelation. However, we apply a more advanced and accurate way to calculate Hurst Exponent rather than simple approximation. Therefore, we recommend using this version of Hurst Exponent over our previous publication going forward. The method we used here is called detrended fluctuation analysis. (For folks that are not interested in the math behind the calculation, feel free to skip to "features" and "how to use" section. However, it is recommended that you read it all to gain a better understanding of the mathematical reasoning).
█ Detrend Fluctuation Analysis
Detrended Fluctuation Analysis was first introduced by by Peng, C.K. (Original Paper) in order to measure the long-range power-law correlations in DNA sequences . DFA measures the scaling-behavior of the second moment-fluctuations, the scaling exponent is a generalization of Hurst exponent.
The traditional way of measuring Hurst exponent is the rescaled range method. However DFA provides the following benefits over the traditional rescaled range method (RS) method:
• Can be applied to non-stationary time series. While asset returns are generally stationary, DFA can measure Hurst more accurately in the instances where they are non-stationary.
• According the the asymptotic distribution value of DFA and RS, the latter usually overestimates Hurst exponent (even after Anis- Llyod correction) resulting in the expected value of RS Hurst being close to 0.54, instead of the 0.5 that it should be. Therefore it's harder to determine the autocorrelation based on the expected value. The expected value is significantly closer to 0.5 making that threshold much more useful, using the DFA method on the Hurst Exponent (HE).
• Lastly, DFA requires lower sample size relative to the RS method. While the RS method generally requires thousands of observations to reduce the variance of HE, DFA only needs a sample size greater than a hundred to accomplish the above mentioned.
█ Calculation
DFA is a modified root-mean-squares (RMS) analysis of a random walk. In short, DFA computes the RMS error of linear fits over progressively larger bins (non-overlapped “boxes” of similar size) of an integrated time series.
Our signal time series is the log returns. First we subtract the mean from the log return to calculate the demeaned returns. Then, we calculate the cumulative sum of demeaned returns resulting in the cumulative sum being mean centered and we can use the DFA method on this. The subtraction of the mean eliminates the “global trend” of the signal. The advantage of applying scaling analysis to the signal profile instead of the signal, allows the original signal to be non-stationary when needed. (For example, this process converts an i.i.d. white noise process into a random walk.)
We slice the cumulative sum into windows of equal space and run linear regression on each window to measure the linear trend. After we conduct each linear regression. We detrend the series by deducting the linear regression line from the cumulative sum in each windows. The fluctuation is the difference between cumulative sum and regression.
We use different windows sizes on the same cumulative sum series. The window sizes scales are log spaced. Eg: powers of 2, 2,4,8,16... This is where the scale free measurements come in, how we measure the fractal nature and self similarity of the time series, as well as how the well smaller scale represent the larger scale.
As the window size decreases, we uses more regression lines to measure the trend. Therefore, the fitness of regression should be better with smaller fluctuation. It allows one to zoom into the “picture” to see the details. The linear regression is like rulers. If you use more rulers to measure the smaller scale details you will get a more precise measurement.
The exponent we are measuring here is to determine the relationship between the window size and fitness of regression (the rate of change). The more complex the time series are the more it will depend on decreasing window sizes (using more linear regression lines to measure). The less complex or the more trend in the time series, it will depend less. The fitness is calculated by the average of root mean square errors (RMS) of regression from each window.
Root mean Square error is calculated by square root of the sum of the difference between cumulative sum and regression. The following chart displays average RMS of different window sizes. As the chart shows, values for smaller window sizes shows more details due to higher complexity of measurements.
The last step is to measure the exponent. In order to measure the power law exponent. We measure the slope on the log-log plot chart. The x axis is the log of the size of windows, the y axis is the log of the average RMS. We run a linear regression through the plotted points. The slope of regression is the exponent. It's easy to see the relationship between RMS and window size on the chart. Larger RMS equals less fitness of the regression. We know the RMS will increase (fitness will decrease) as we increases window size (use less regressions to measure), we focus on the rate of RMS increasing (how fast) as window size increases.
If the slope is < 0.5, It means the rate of of increase in RMS is small when window size increases. Therefore the fit is much better when it's measured by a large number of linear regression lines. So the series is more complex. (Mean reversion, negative autocorrelation).
If the slope is > 0.5, It means the rate of increase in RMS is larger when window sizes increases. Therefore even when window size is large, the larger trend can be measured well by a small number of regression lines. Therefore the series has a trend with positive autocorrelation.
If the slope = 0.5, It means the series follows a random walk.
█ FEATURES
• Sample Size is the lookback period for calculation. Even though DFA requires a lower sample size than RS, a sample size larger > 50 is recommended for accurate measurement.
• When a larger sample size is used (for example = 1000 lookback length), the loading speed may be slower due to a longer calculation. Date Range is used to limit numbers of historical calculation bars. When loading speed is too slow, change the data range "all" into numbers of weeks/days/hours to reduce loading time. (Credit to allanster)
• “show filter” option applies a smoothing moving average to smooth the exponent.
• Log scale is my work around for dynamic log space scaling. Traditionally the smallest log space for bars is power of 2. It requires at least 10 points for an accurate regression, resulting in the minimum lookback to be 1024. I made some changes to round the fractional log space into integer bars requiring the said log space to be less than 2.
• For a more accurate calculation a larger "Base Scale" and "Max Scale" should be selected. However, when the sample size is small, a larger value would cause issues. Therefore, a general rule to be followed is: A larger "Base Scale" and "Max Scale" should be selected for a larger the sample size. It is recommended for the user to try and choose a larger scale if increasing the value doesn't cause issues.
The following chart shows the change in value using various scales. As shown, sometimes increasing the value makes the value itself messy and overshoot.
When using the lowest scale (4,2), the value seems stable. When we increase the scale to (8,2), the value is still alright. However, when we increase it to (8,4), it begins to look messy. And when we increase it to (16,4), it starts overshooting. Therefore, (8,2) seems to be optimal for our use.
█ How to Use
Similar to Hurst Exponent (Simple). 0.5 is a level for determine long term memory.
• In the efficient market hypothesis, market follows a random walk and Hurst exponent should be 0.5. When Hurst Exponent is significantly different from 0.5, the market is inefficient.
• When Hurst Exponent is > 0.5. Positive Autocorrelation. Market is Trending. Positive returns tend to be followed by positive returns and vice versa.
• Hurst Exponent is < 0.5. Negative Autocorrelation. Market is Mean reverting. Positive returns trends to follow by negative return and vice versa.
However, we can't really tell if the Hurst exponent value is generated by random chance by only looking at the 0.5 level. Even if we measure a pure random walk, the Hurst Exponent will never be exactly 0.5, it will be close like 0.506 but not equal to 0.5. That's why we need a level to tell us if Hurst Exponent is significant.
So we also computed the 95% confidence interval according to Monte Carlo simulation. The confidence level adjusts itself by sample size. When Hurst Exponent is above the top or below the bottom confidence level, the value of Hurst exponent has statistical significance. The efficient market hypothesis is rejected and market has significant inefficiency.
The state of market is painted in different color as the following chart shows. The users can also tell the state from the table displayed on the right.
An important point is that Hurst Value only represents the market state according to the past value measurement. Which means it only tells you the market state now and in the past. If Hurst Exponent on sample size 100 shows significant trend, it means according to the past 100 bars, the market is trending significantly. It doesn't mean the market will continue to trend. It's not forecasting market state in the future.
However, this is also another way to use it. The market is not always random and it is not always inefficient, the state switches around from time to time. But there's one pattern, when the market stays inefficient for too long, the market participants see this and will try to take advantage of it. Therefore, the inefficiency will be traded away. That's why Hurst exponent won't stay in significant trend or mean reversion too long. When it's significant the market participants see that as well and the market adjusts itself back to normal.
The Hurst Exponent can be used as a mean reverting oscillator itself. In a liquid market, the value tends to return back inside the confidence interval after significant moves(In smaller markets, it could stay inefficient for a long time). So when Hurst Exponent shows significant values, the market has just entered significant trend or mean reversion state. However, when it stays outside of confidence interval for too long, it would suggest the market might be closer to the end of trend or mean reversion instead.
Larger sample size makes the Hurst Exponent Statistics more reliable. Therefore, if the user want to know if long term memory exist in general on the selected ticker, they can use a large sample size and maximize the log scale. Eg: 1024 sample size, scale (16,4).
Following Chart is Bitcoin on Daily timeframe with 1024 lookback. It suggests the market for bitcoin tends to have long term memory in general. It generally has significant trend and is more inefficient at it's early stage.
Chandelier Exit + Pivots + MA + Swing High/LowIt combines four indicators.
For use in the Hero course.
