Marcadorde Entradas Long y Short Javier JoseScript Logic
I have integrated the following elements:
Trend Indicators: I use 9-period and 21-period Exponential Moving Averages (EMAs) to quickly detect the price direction.
Momentum Confirmation: I combine the RSI and MACD to validate the strength and direction of the movement.
Volume Filter: I only accept signals if the volume exceeds its 20-period moving average, ensuring market interest.
Volatility Filter: I use the ATR (Average True Range) to avoid signals in flat or low-volatility markets.
Candlestick Patterns: I include detection of engulfing patterns (bullish for "Long," bearish for "Short") as additional confirmation.
Support and Resistance: I use pivot points to ensure signals occur near key levels.
The result is a robust system that filters out weak signals and prioritizes the most reliable ones.
Condition Details
Trend (EMA Crossover)
Long: The fast EMA (9) crosses above the slow EMA (21).
Short: The fast EMA (9) crosses below the slow EMA (21).
Momentum
RSI:
"Long" requires RSI > 40 (avoids extreme oversold zones).
"Short" requires RSI < 60 (avoids extreme overbought zones).
MACD:
"Long" when the MACD line is above the signal line.
"Short" when the MACD line is below the signal line.
Volume
The current volume must exceed the 20-period Simple Moving Average (SMA) of volume.
Volatility (ATR)
The current ATR must exceed its 14-period SMA to ensure sufficient market movement.
Candlestick Patterns
Bullish Engulfing: Confirms "Long" when the current candle closes above the previous candle’s open and engulfs its range.
Bearish Engulfing: Confirms "Short" when the current candle closes below the previous candle’s open and engulfs its range.
Support and Resistance
Support: For "Long," the price must be near (within 1%) a previous low pivot.
Resistance: For "Short," the price must be near (within 1%) a previous high pivot.
Timeframes
The script operates only on the specified timeframes: 15 minutes, 30 minutes, 1 hour, 2 hours, 4 hours, and daily.
Titik pangsi dan tahap
SPY Enhanced Short Signals – Fixed1.54% profit per trade
SPY Enhanced Short Signals – Fixed is a 5-minute strategy for SPY that triggers short entries when price nears resistance under confirmed bearish conditions (RSI below 45, MACD momentum, and volume spikes). It uses ATR-based dynamic exits to manage risk with adaptive take profit and stop loss settings. Customize inputs for optimal performance.
「ᴋᴇʏ ʟᴇᴠᴇʟꜱ」Key Levels for DAX with Alerts function.
This shows potential reversal points designed to be used with the DAX index. Use additional indicators as confluence.
MURA2.0The indicator shows important levels for trading on different TF, you can select levels for intraday, intraweek and intra-month trading. Also added clearly visible three trends: short term, medium term and long term, but depends on your TF. With excellent trend visibility, it will be much easier to trade according to the structure instead of against it.
EMA vs SMA Crossover (Toggle 15/20) by AaronEscaThis custom indicator by AaronEsca lets you toggle between a 15-period or 20-period EMA/SMA crossover to spot trend shifts and momentum changes earlier.
Features:
Choose between 15 or 20 period moving averages using a simple dropdown.
Highlights when the EMA crosses above or below the SMA — a signal of trend momentum or exhaustion.
Includes visual fill between the two lines for instant trend direction insight.
Alerts included for bullish and bearish crossovers.
Designed for use on the 4H, 1H, and Daily timeframes, but flexible for any strategy.
This tool is perfect for swing traders, scalpers, or anyone wanting early confirmation of a potential reversal or momentum break.
IDX - 5UPThe UDX-5UP is a custom indicator designed to assist traders in identifying trends, entry and exit signals, and market reversal moments with greater accuracy. It combines price analysis, volume, and momentum (RSI) to provide clear buy ("Buy") and sell ("Sell") signals across any asset and timeframe, whether you're a scalper on the 5M chart or a swing trader on the 4H chart. Inspired by robust technical analysis strategies, the UDX-5UP is ideal for traders seeking a reliable tool to operate in volatile markets such as cryptocurrencies, forex, stocks, and futures.
Components of the UDX-5UP
The UDX-5UP consists of three main panels that work together to provide a comprehensive view of the market:
Main Panel (Price):
Pivot Supertrend: A dynamic line that changes color to indicate the trend. Green for an uptrend (look for buys), red for a downtrend (look for sells).
SMAs (Simple Moving Averages): Two SMAs (8 and 21 periods) to confirm the trend direction. When the SMA 8 crosses above the SMA 21, it’s a bullish signal; when it crosses below, it’s a bearish signal.
Entry/Exit Signals: "Buy" (green) and "Sell" (red) labels are plotted on the chart when entry or exit conditions are met.
Volume Panel:
Colored Volume Bars: Green bars indicate dominant buying volume, while red bars indicate dominant selling volume.
Volume Moving Average (MA 20): A blue line that helps identify whether the current volume is above or below the average, confirming the strength of the movement.
RSI Panel:
RSI (Relative Strength Index): Calculated with a period of 14, with overbought (70) and oversold (30) lines to identify momentum extremes.
Divergences: The indicator detects divergences between the RSI and price, plotting signals for potential reversals.
How the UDX-5UP Works
The UDX-5UP uses a combination of rules to generate buy and sell signals:
Buy Signal ("Buy"):
The Pivot Supertrend changes from red to green.
The SMA 8 crosses above the SMA 21.
The volume is above the MA 20, with green bars (indicating buying pressure).
The RSI is rising and, ideally, below 70 (not overbought).
Example: On the 4H chart, the price of Tether (USDT) is at 0.05515. The Pivot Supertrend turns green, the SMA 8 crosses above the SMA 21, the volume shows green bars above the MA 20, and the RSI is at 46. The UDX-5UP plots a "Buy".
Sell Signal ("Sell"):
The Pivot Supertrend changes from green to red.
The SMA 8 crosses below the SMA 21.
The volume is above the MA 20, with red bars (indicating selling pressure).
The RSI is falling and, ideally, above 70 (overbought).
Example: On the 4H chart, the price of Tether rises to 0.05817. The Pivot Supertrend turns red, the SMA 8 crosses below the SMA 21, the volume shows red bars, and the RSI is above 70. The UDX-5UP plots a "Sell".
RSI Divergences:
The indicator identifies bullish divergences (price makes a lower low, but RSI makes a higher low) and bearish divergences (price makes a higher high, but RSI makes a lower high), plotting alerts for potential reversals.
Adjustable Settings
The UDX-5UP is highly customizable to suit your trading style:
Pivot Supertrend Period: Default is 2. Increase to 3 or 4 for more conservative signals (fewer false positives, but more lag).
SMA Periods: Default is 8 and 21. Adjust to 5 and 13 for smaller timeframes (e.g., 5M) or 13 and 34 for larger timeframes (e.g., 1D).
RSI Period: Default is 14. Reduce to 10 for greater sensitivity or increase to 20 for smoother signals.
Overbought/Oversold Levels: Default is 70/30. Adjust to 80/20 in volatile markets.
Display Panels: You can enable/disable the volume and RSI panels to simplify the chart.
How to Use the UDX-5UP
Identify the Trend:
Use the Pivot Supertrend and SMAs to determine the market direction. Uptrend: look for buys. Downtrend: look for sells.
Confirm with Volume and RSI:
For buys: Volume above the MA 20 with green bars, RSI rising and below 70.
For sells: Volume above the MA 20 with red bars, RSI falling and above 70.
Enter the Trade:
Enter a buy when the UDX-5UP plots a "Buy" and all conditions are aligned.
Enter a sell when the UDX-5UP plots a "Sell" and all conditions are aligned.
Plan the Exit:
Use Fibonacci levels or support/resistance on the price chart to set targets.
Exit the trade when the UDX-5UP plots an opposite signal ("Sell" after a buy, "Buy" after a sell).
Tips for Beginners
Start with Larger Timeframes: Use the 4H or 1D chart for more reliable signals and less noise.
Combine with Other Indicators: Use the UDX-5UP with tools like Fibonacci or the Candles RSI (another powerful indicator) to confirm signals.
Practice in Demo Mode: Test the indicator in a demo account before using real money.
Manage Risk: Always use a stop-loss and don’t risk more than 1-2% of your capital per trade.
Why Use the UDX-5UP?
Simplicity: Clear "Buy" and "Sell" signals make trading accessible even for beginners.
Versatility: Works on any asset (crypto, forex, stocks) and timeframe.
Multiple Confirmations: Combines price, volume, and momentum to reduce false signals.
Customizable: Adjust the settings to match your trading style.
Author’s Notes
The UDX-5UP was developed based on years of trading and technical analysis experience. It is an evolution of tested strategies, designed to help traders navigate volatile markets with confidence. However, no indicator is infallible. Always combine the UDX-5UP with proper risk management and fundamental analysis, especially in unpredictable markets. Feedback is welcome – leave a comment or reach out with suggestions for improvements!
Ruben.Ramiro - Momentum Breakout StrategyThis strategy is designed to capture breakout movements aligned with the prevailing trend, using a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and Average True Range (ATR) for entry signals and risk management. It includes clear long/short entry conditions, dynamic stop-losses.
1. Trend Identification
Uses two EMAs:
• Fast EMA (default 20 periods)
• Slow EMA (default 50 periods)
The trend is considered bullish if EMA Fast > EMA Slow, and bearish if EMA Fast < EMA Slow.
2. Momentum Filter (RSI)
Applies a 14-period RSI to avoid entries during overbought/oversold conditions:
• Avoids long entries when RSI > 70 (overbought)
• Avoids short entries when RSI < 30 (oversold)
3. Breakout Logic
Detects breakouts over a configurable period (default: 5 candles):
• Resistance: Highest high over the last N periods (excluding the current one)
• Support: Lowest low over the last N periods (excluding the current one)
4. Entry Conditions
Long Entry:
• Price breaks above recent resistance
• Uptrend confirmed (EMA Fast > EMA Slow)
• RSI not overbought
Short Entry:
• Price breaks below recent support
• Downtrend confirmed (EMA Fast < EMA Slow)
• RSI not oversold
5. Position Management
Stop-Loss and Trailing Stop based on ATR:
Stop-Loss:
• For long: entry price - (ATR * SL multiplier)
• For short: entry price + (ATR * SL multiplier)
Trailing Stop:
• Uses same ATR * trailing multiplier for both trail_points and trail_offset
• Defaults for both SL and trailing multiplier: 1.5x ATR
6. Alerts (Webhook)
JSON-formatted webhook alerts:
• Long entry: Market buy order
• Short entry: Market sell order
7. Visual Cues
• Green triangle below bar for Long entries
• Red triangle above bar for Short entries
Pivot Center LineHow is it calculated?
Finding Pivot Points:
The script looks for Pivot Highs (local peaks) and Pivot Lows (local bottoms) based on a user-defined period (prd).
A Pivot High is the highest point among the surrounding candles.
A Pivot Low is the lowest point among the surrounding candles.
Storing the Latest Pivot:
If a new pivot (high or low) is found, it is stored as lastpp (latest pivot point).
Weighted Averaging:
If it's the first detected pivot, the center line is set to that pivot price.
After detecting multiple pivots, the new pivot is averaged with the previous center value using the formula:
new center=(old center×2)+latest pivot3
new center=3(old center×2)+latest pivot
This gives more weight to past values, smoothing the center line.
Plotting the Line:
If the center line is below the mid-price (hl2), it is colored blue (bullish bias).
If it is above, it is colored red (bearish bias).
Summary in Simple Terms
The Pivot Center Line is a moving reference line that smoothly follows the trend based on recent price highs and lows. It updates itself over time, filtering out small fluctuations to help traders see the bigger trend picture.
zone trading stratThis only works for DOGEUSD , I made it for the 8cap chart so only use it for that.
If you want this for other symbols/charts you need to comment below or msg me.
# Price Zone Trading System: Technical Explanation
## Core Concept
The Price Zone Tracker is built on the concept that price tends to respect certain key levels or "zones" on the chart. These zones act as support and resistance areas where price may bounce or break through. The system combines zone analysis with multiple technical indicators to generate high-probability trading signals.
## Zone Analysis
The system tracks 9 predefined price zones. Each zone has both a high and low boundary, except for Zone 5 which is represented by a single line. When price enters a zone, the system monitors whether it stays within the zone, breaks above it (bullish), or breaks below it (bearish).
This zone behavior establishes the foundational bias of the system:
- When price closes above its previous zone: Zone State = Bullish
- When price closes below its previous zone: Zone State = Bearish
- When price remains within a zone: Zone State = Neutral
## Trend Analysis Components
The system performs multi-timeframe analysis using several technical components:
1. **Higher Timeframe Analysis** (±3 points in scoring)
- Uses 15-minute charts for sub-5-minute timeframes
- Uses 30-minute charts for 5-minute timeframes
- Uses 60-minute charts for timeframes above 5 minutes
- Evaluates candlestick patterns and EMA crossovers on the higher timeframe
2. **EMA Direction** (±1 point in scoring)
- Compares 12-period and 26-period EMAs
- Bullish when fast EMA > slow EMA
- Bearish when fast EMA < slow EMA
3. **MACD Analysis** (±1 point in scoring)
- Uses standard 12/26/9 MACD settings
- Bullish when MACD line crosses above signal line with positive histogram
- Bearish when MACD line crosses below signal line with negative histogram
4. **Price Action** (±2 points in scoring)
- Evaluates whether price is making higher highs/higher lows (uptrend)
- Or lower highs/lower lows (downtrend)
- Also considers ATR-based volatility and strength of movements
## Trend Score Calculation
All these components are weighted and combined into a trend score:
- Higher timeframe components have stronger weights (±2-3 points)
- Current timeframe components have moderate weights (±1 point)
- Price action components have varied weights (±0.5-2 points)
The final trend state is determined by thresholds:
- Score > +3: Trend Analysis State = Bullish
- Score < -3: Trend Analysis State = Bearish
- Score between -3 and +3: Trend Analysis State = Neutral
## Signal Generation Logic
The system combines the Zone State with the Trend Analysis State:
1. If Zone State and Trend Analysis State are both bullish:
- Combined State = Bullish
- Line Color = Green
2. If Zone State and Trend Analysis State are both bearish:
- Combined State = Bearish
- Line Color = Red
3. If Zone State and Trend Analysis State contradict each other:
- Combined State = Neutral
- Line Color = Black
This implements a safety mechanism requiring both zone analysis and technical indicators to agree before generating a directional signal.
## Trading Signals
Trading signals are generated based on changes in the Combined State:
- When Combined State changes from neutral/bearish to bullish:
- Trading Signal = LONG (green triangle appears on chart)
- When Combined State changes from neutral/bullish to bearish:
- Trading Signal = SHORT (red triangle appears on chart)
- When Combined State changes from bullish/bearish to neutral:
- Trading Signal = EXIT (yellow X appears on chart)
- When Combined State remains unchanged:
- Trading Signal = NONE (no new marker appears)
## Reversal Warning
The system also monitors for potential reversal conditions:
- When Combined State is bullish but both RSI and MFI are overbought (>70)
- When Combined State is bearish but both RSI and MFI are oversold (<30)
In these cases, a yellow diamond appears on the chart as a warning that a reversal might be imminent.
## Visual Elements
The indicator provides multiple visual elements:
1. Zone boundaries as translucent orange areas
2. A single colored line below price (green/red/black) showing the current signal
3. Trading signals as shapes on the chart
4. An information panel showing all relevant indicator values and signals
## Usage Limitations
The indicator is designed to work optimally on timeframes below 30 minutes. On higher timeframes, a warning appears and analysis is disabled.
Custom Gold Pivot LevelsThis indicator plots custom resistance and support levels based on a central Ziro Pivot Level. The levels are adjusted dynamically based on whether you're preparing for a Buy or Sell trade. The script allows you to set percentage-based levels for both resistance and support, making it a versatile tool for traders.
Features:
Pivot Level: Set the central pivot level (Ziro Pivot) around which resistance and support levels are calculated.
Dynamic Resistance & Support Levels: Input your preferred percentages for Resistance 1, Resistance 2, Support 1 , and Support 2 .
For Buy: Resistance levels are higher, and support levels are lower.
For Sell: Resistance levels are adjusted lower, and support levels are adjusted higher.
Label Display: The indicator will display a Buy label in green above the pivot level or a Sell label in red below the pivot level, depending on the trade type you select.
Adjustable Parameters:
Ziro Pivot Level: Set the central pivot level.
Resistance & Support Levels: Adjust resistance and support levels using percentages.
Trade Type: Choose between "Buy" and "Sell" to dynamically adjust resistance and support levels.
Inputs:
1- Trade Type: Select between Buy or Sell to set the relevant resistance and support levels.
Ziro Pivot Level: Set the main pivot level around which all other levels are calculated.
Resistance Level 1 & 2: Input percentages for Resistance 1 and Resistance 2.
Support Level 1 & 2: Input percentages for Support 1 and Support 2.
How to Use:
1- Select "Buy" or "Sell" from the input options.
For Buy: The indicator will plot higher resistance levels and lower support levels.
For Sell: The indicator will plot lower resistance levels and higher support levels.
2- Adjust the Pivot Level: Set the central pivot level for the levels to be calculated around.
3- Adjust the Resistance & Support Percentages: Modify the resistance and support levels to fit your trading strategy.
4- Visual Feedback: The indicator will show a Buy label in green above the pivot level or a Sell label in red below the pivot level, making it easy to identify the trade direction at a glance.
Use Cases:
Gold & Commodity Trading: This tool is particularly useful for traders working with commodities like gold, where pivot levels can help determine potential price action points.
Swing & Day Trading: The dynamic nature of this indicator makes it great for both swing and day traders who want to monitor short-term market movements.
Support and Resistance Strategy: Traders who rely on support and resistance levels to make buy/sell decisions can use this indicator to automate and visualize these levels more effectively.
Demand and Supply MTF with SMC By StockFusion - 3.0Demand and Supply MTF with SMC By StockFusion - 3.0 - Indicator Description
Concepts
What is Supply & Demand?
Supply and Demand are foundational forces driving market dynamics. Demand reflects the presence of buyers willing to purchase a security, while Supply indicates sellers offering it for sale. These forces create zones on the chart where price tends to react—either reversing or continuing—based on the balance between buying and selling pressure. This indicator identifies these zones using price action patterns, focusing on impulsive moves (strong directional momentum) and retracement phases (consolidation or pullbacks).
What is SMC (Smart Money Concepts)?
Smart Money Concepts (SMC) revolve around tracking the behavior of institutional traders, often called "smart money." By analyzing price action, market structure shifts, and liquidity, SMC helps retail traders align with the moves of larger players. Key SMC signals like Change of Character (CHoCH), Break of Structure (BOS), liquidity sweeps, and swing points provide insights into potential trend changes or continuations.
Overview
Demand and Supply MTF with SMC By StockFusion - 3.0 is a sophisticated, price action-based indicator designed to plot real-time Supply and Demand zones across multiple timeframes (MTF) directly on your chart. It goes beyond simple zone plotting by integrating Smart Money Concepts (SMC) and Inside Candle detection, offering traders a powerful tool for spotting high-probability reversal or continuation areas. The indicator highlights zones with customizable boxes, labels them for clarity, and provides additional SMC-driven insights such as CHoCH, BOS, liquidity sweeps, and swing high/low levels. This combination of multi-timeframe analysis, SMC, and consolidation detection creates a unique and highly practical tool for traders seeking an edge in the markets.
How It Works
The indicator operates by analyzing price action across two user-defined timeframes (Higher TF and Lower TF) to detect Supply and Demand zones. It identifies these zones based on specific price patterns:
Rally Base Rally (RBR): A bullish impulsive move, followed by consolidation, then another bullish move—indicating a Demand zone.
Drop Base Drop (DBD): A bearish impulsive move, consolidation, then another bearish move—indicating a Supply zone.
Drop Base Rally (DBR): A bearish move, consolidation, then a bullish reversal—indicating a Demand zone.
Rally Base Drop (RBD): A bullish move, consolidation, then a bearish reversal—indicating a Supply zone.
These patterns are detected using criteria like explosive candle movements (based on range-to-body ratios and ATR multipliers), volume thresholds, and base candle counts (configurable from 1 to 5 candles). Zones are plotted as horizontal bands, with Higher TF zones taking precedence to avoid overlap with Lower TF zones, ensuring clarity on the chart.
Smart Money Integration:
The indicator enhances zone analysis with SMC features:
CHoCH (Change of Character): Detects shifts in market sentiment by comparing price action against recent swing highs/lows over a customizable period.
BOS (Break of Structure): Identifies when price breaks key structural levels, signaling a potential trend shift.
Liquidity Sweeps: Marks areas where price briefly exceeds swing points before reversing, often targeting stop-loss orders.
Swings: Highlights significant swing highs and lows to track momentum and structure.
Inside Candle Detection:
Inside Candles—smaller candles contained within the range of a prior candle—are plotted to indicate consolidation or indecision, often preceding breakouts. Optional lines can be drawn around these candles for better visibility.
Key Features & How to Use
Real-Time Zone Plotting:
Automatically identifies and marks Supply and Demand zones as they form, using the RBR, RBD, DBR, and DBD patterns. Zones are color-coded (e.g., green for Demand, red for Supply) and can extend rightward for visibility.
Multi-Timeframe Analysis:
Operates on all timeframes, with separate settings for Higher TF (e.g., weekly) and Lower TF (e.g., daily) zones. This allows traders to see both macro and micro levels of market structure.
Automatic Detection:
No manual input is required—zones are plotted based on price action, volume, and SMA trends. Live candle volume is displayed for context.
Tested Zone Management:
Optionally removes zones after they’re tested (price revisits and reverses) or after a second leg-out move, keeping the chart uncluttered.
Customizable Display:
Choose which patterns to detect (RBR, RBD, etc.).
Adjust base candle counts (1-5), explosive candle parameters (Range-Body Ratio, Multiplier), and quality filters (SMA length, Volume Multiplier).
Customize colors for zones, borders, labels, and candles (boring, bullish explosive, bearish explosive).
Enable/disable labels and pattern names on boxes.
Alerts:
Set notifications for zone formation, CHoCH, BOS, and liquidity sweeps on your chosen timeframe.
Inside Candle Visualization:
Highlights consolidation phases with color-coded candles and optional lines, aiding breakout anticipation.
SMC Insights:
Visualizes CHoCH, BOS, liquidity sweeps, and swings with distinct lines and labels, helping traders follow institutional moves.
How to Use It:
Approaching Zones: When price nears a Supply or Demand zone, watch for reversal patterns (e.g., pin bars, engulfing candles) or SMC signals (e.g., BOS, liquidity sweeps) to confirm entries. Combine with your tested strategy—don’t trade zones blindly.
SMC Signals: Use CHoCH for early trend reversal clues, BOS for trend continuation, and liquidity sweeps to gauge manipulation.
Inside Candles: Monitor for breakouts after consolidation periods marked by Inside Candles.
Why It’s Unique & Valuable
This indicator stands out by blending multi-timeframe Supply and Demand analysis with Smart Money Concepts and Inside Candle detection into a single, cohesive tool. While it uses classic elements like price action and volume, its proprietary logic—combining specific pattern detection (RBR, RBD, DBR, DBD), SMC signals (CHoCH, BOS, etc.), and consolidation tracking—offers a fresh approach. Unlike generic trend-following or scalping tools, it provides actionable insights into market structure and institutional behavior, making it worth considering for traders willing to invest in a premium tool. The flexibility of customization and MTF functionality further enhances its utility across trading styles, from scalping to swing trading.
Pivot S/R with Volatility Filter## *📌 Indicator Purpose*
This indicator identifies *key support/resistance levels* using pivot points while also:
✅ Detecting *high-volume liquidity traps* (stop hunts)
✅ Filtering insignificant pivots via *ATR (Average True Range) volatility*
✅ Tracking *test counts and breakouts* to measure level strength
---
## *⚙ SETTINGS – Detailed Breakdown*
### *1️⃣ ◆ General Settings*
#### *🔹 Pivot Length*
- *Purpose:* Determines how many bars to analyze when identifying pivots.
- *Usage:*
- *Low values (5-20):* More pivots, better for scalping.
- *High values (50-200):* Fewer but stronger levels for swing trading.
- *Example:*
- Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked.
#### *🔹 Test Threshold (Max Test Count)*
- *Purpose:* Sets how many times a level can be tested before being invalidated.
- *Example:*
- Test Threshold = 3 → After 3 tests, the level is ignored (likely to break).
#### *🔹 Zone Range*
- *Purpose:* Creates a price buffer around pivots (±0.001 by default).
- *Why?* Markets often respect "zones" rather than exact prices.
---
### *2️⃣ ◆ Volatility Filter (ATR)*
#### *🔹 ATR Period*
- *Purpose:* Smoothing period for Average True Range calculation.
- *Default:* 14 (standard for volatility measurement).
#### *🔹 ATR Multiplier (Min Move)*
- *Purpose:* Requires pivots to show *meaningful price movement*.
- *Formula:* Min Move = ATR × Multiplier
- *Example:*
- ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid.
#### *🔹 Show ATR Filter Info*
- Displays current ATR and minimum move requirements on the chart.
---
### *3️⃣ ◆ Volume Analysis*
#### *🔹 Volume Change Threshold (%)*
- *Purpose:* Filters for *unusual volume spikes* (institutional activity).
- *Example:*
- Threshold = 1.2 → Requires *120% of average volume* to confirm signals.
#### *🔹 Volume MA Period*
- *Purpose:* Lookback period for "normal" volume calculation.
---
### *4️⃣ ◆ Wick Analysis*
#### *🔹 Wick Length Threshold (Ratio)*
- *Purpose:* Ensures rejection candles have *long wicks* (strong reversals).
- *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range
- *Example:*
- Threshold = 0.6 → 60% of the candle must be wicks.
#### *🔹 Min Wick Size (ATR %)*
- *Purpose:* Filters out small wicks in volatile markets.
- *Example:*
- ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored.
---
### *5️⃣ ◆ Display Settings*
- *Show Zones:* Toggles support/resistance shaded areas.
- *Show Traps:* Highlights liquidity traps (▲/▼ symbols).
- *Show Tests:* Displays how many times levels were tested.
- *Zone Transparency:* Adjusts opacity of zones.
---
## *🎯 Practical Use Cases*
### *1️⃣ Liquidity Trap Detection*
- *Scenario:* Price spikes *above resistance* then reverses sharply.
- *Requirements:*
- Long wick (Wick Ratio > 0.6)
- High volume (Volume > Threshold)
- *Outcome:* *Short Trap* signal (▼) appears.
### *2️⃣ Strong Support Level*
- *Scenario:* Price bounces *3 times* from the same level.
- *Indicator Action:*
- Labels the level with test count (3/5 = 3 tests out of max 5).
- Turns *red* if broken (Break Count > 0).
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
## *📊 Parameter Encyclopedia (Expanded)*
### *1️⃣ Pivot Engine Settings*
#### *Pivot Length (50)*
- *What It Does:*
Determines how many bars to analyze when searching for swing highs/lows.
- *Professional Adjustment Guide:*
| Trading Style | Recommended Value | Why? |
|--------------|------------------|------|
| Scalping | 10-20 | Captures short-term levels |
| Day Trading | 30-50 | Balanced approach |
| Swing Trading| 50-200 | Focuses on major levels |
- *Real Market Example:*
On NASDAQ 5-minute chart:
- Length=20: Identifies levels holding for ~2 hours
- Length=50: Finds levels respected for entire trading day
#### *Test Threshold (5)*
- *Advanced Insight:*
Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money.
- *Psychology Behind It:*
Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run.
---
### *2️⃣ Volatility Filter System*
#### *ATR Multiplier (1.0)*
- *Professional Formula:*
Minimum Valid Swing = ATR(14) × Multiplier
- *Market-Specific Recommendations:*
| Market Type | Optimal Multiplier |
|------------------|--------------------|
| Forex Majors | 0.8-1.2 |
| Crypto (BTC/ETH) | 1.5-2.5 |
| SP500 Stocks | 1.0-1.5 |
- *Why It Matters:*
In EUR/USD (ATR=10 pips):
- Multiplier=1.0 → Requires 10 pip swings
- Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels)
---
### *3️⃣ Volume Confirmation System*
#### *Volume Threshold (1.2)*
- *Institutional Benchmark:*
- 1.2x = Moderate institutional interest
- 1.5x+ = Strong smart money activity
- *Volume Spike Case Study:*
*Before Apple Earnings:*
- Normal volume: 2M shares
- Spike threshold (1.2): 2.4M shares
- Actual volume: 3.1M shares → STRONG confirmation
---
### *4️⃣ Liquidity Trap Detection*
#### *Wick Analysis System*
- *Two-Filter Verification:*
1. *Wick Ratio (0.6):*
- Ensures majority of candle shows rejection
- Formula: (UpperWick + LowerWick) / Total Range > 0.6
2. *Min Wick Size (1% ATR):*
- Prevents false signals in flat markets
- Example: ATR=20 pips → Min wick=0.2 pips
- *Trap Identification Flowchart:*
Price Enters Zone →
Spikes Beyond Level →
Shows Long Wick →
Volume > Threshold →
TRAP CONFIRMED
---
## *💡 Master-Level Usage Techniques*
### *Institutional Order Flow Analysis*
1. *Step 1:* Identify pivot levels with ≥3 tests
2. *Step 2:* Watch for volume contraction near levels
3. *Step 3:* Enter when trap signal appears with:
- Wick > 2×ATR
- Volume > 1.5× average
### *Multi-Timeframe Confirmation*
1. *Higher TF:* Find weekly/monthly pivots
2. *Lower TF:* Use this indicator for precise entries
3. *Example:*
- Weekly pivot at $180
- 4H shows liquidity trap → High-probability reversal
---
## *⚠ Critical Mistakes to Avoid*
1. *Using Default Settings Everywhere*
- Crude oil needs higher ATR multiplier than bonds
2. *Ignoring Trap Context*
- Traps work best at:
- All-time highs/lows
- Major psychological numbers (00/50 levels)
3. *Overlooking Cumulative Volume*
- Check if volume is building over multiple tests
ZRK 30m This TradingView indicator draws alternating 30-minute boxes aligned precisely to real clock times (e.g., 10:00, 10:30, 11:00), helping traders visually segment intraday price action. It highlights every other 30-minute block with customizable colors, line styles, and opacity, allowing users to clearly differentiate between trading intervals. The boxes automatically adjust based on the chart’s timeframe, maintaining accuracy on 1-minute to 60-minute charts. Optional time labels can also be displayed for additional context. This tool is useful for identifying patterns, measuring volatility, or applying breakout strategies based on defined, consistent time windows across global trading sessions.
Auto Gap DetectorThis indicator uses previous sessions open/close (whichever is closest) and the new sessions open to automatically detect both a gap up or gap down on any timeframe but is intended for use on on the daily timeframe ONLY. This is not the traditional definition of a gap but the one that i use for my strategy and has been more consistent and conservative than others.
We have also provided instructions on how to create alerts for these indicators below.
Happy Trading!
White Boxes: indicate an overnight gap up/down that is incomplete or not filled.
Green Boxes: When a gap fill is complete the white box will be changed to a green box so that it may still be used as a reference for support and resistance on following sessions.
*Color, transparency and borders of boxes can be customized in settings.
Set Up Alerts
Now, let’s make sure you get notified when a gap has occurred and when it has been filled happens:
Open the Alerts Menu
On the chart, click the bell icon (top right of the screen) to create an alert.
Configure the Auto Gap indicator
In the “Condition” dropdown, select “Auto Gap indicator".
Below that, select “Overnight Gap Detected or Overnight Gap Filled.”
*Note: if you want to detect when both a gap has been detected and when it has been filled you must create two separate alerts.
Set “Once Per Bar Close” in the next dropdown (this ensures it only triggers after the period ends, avoiding false signals mid-bar).
Choose how you want to be notified (e.g., popup, email, or phone app—set this under “Notifications”).
Configure the Auto Gap Alert
Click the bell icon again to create a second alert.
Feel free to leave comments requesting any upgrades or potential bugs. Thank you!
PARK Oscillator with BOS Percentage ChangePark Oscillator Pro - Smart Money Flow & Institutional Structure Analysis
Professional-Grade Market Structure Indicator
The Park Oscillator Pro is an advanced trading tool that reveals institutional order flow through:
🔹 Precision Market Structure Detection
Accurate Break of Structure (BOS) identification with volume confirmation
Clear Change of Character (CHoCH) markings for trend reversals
Dynamic polarity system for trend bias visualization
🔹 Post-BOS Performance Metrics (Unique Feature!)
Measures maximum price extension after BOS
Quantifies initial pullback strength (first 3 candles)
Auto-labels showing performance statistics
🔹 Smart Money Zones
Normalized oscillator (-100 to +100)
Premium/Discount areas for institutional levels
Adaptive moving average filter
🔹 Professional Divergence System
Regular & hidden divergences (bullish/bearish)
Customizable sensitivity filters
Visual trendlines connecting pivot points
Why Traders Love It:
✅ Institutional-grade market structure analysis
✅ Objective BOS/CHoCH detection (no repainting)
✅ Quantitative performance metrics for trade management
✅ Fully customizable visual alerts
Ideal For:
Institutional order flow traders
Market structure analysts
Price action traders looking for confluence
Those trading breakouts/breakdowns
"Not just signals - it quantifies the institutional footprint in your market."
VICI Algo-V TableVICI Trading Solutions is proud to introduce another powerful tool from our internal trading process: ALGO V ATR Table.
This streamlined, data-rich table is designed to give traders quick and easy access to key support and resistance levels using Average True Range (ATR) data—without cluttering the chart. It’s a perfect complement to our previously released ALGO V indicator, which plots significant ATR-based levels directly on the chart. While that tool is highly effective, we understand that too much on the screen can overwhelm your workspace. That’s why we developed this clean, corner-based ATR Table —so you can stay focused on execution with clarity and confidence.
How It Works:
- The table displays critical ATR levels across multiple timeframes, helping you identify areas of potential support and resistance with precision.
- Each timeframe row is color-coded to reflect its current trend state:
- 🟩 Green – Price is above the cloud and trending up .
- 🟥 Red – Price is below the cloud and trending down .
- ⬜ Gray – Price is inside the cloud and in a neutral/indecisive zone.
- The number next to a gray level shows the price that must be broken to transition to a bullish or bearish trend.
This simple color system allows for immediate insight into market structure and directional bias across multiple timeframes—without second guessing or crowding your chart.
⚠️ Important Note: Due to how TradingView handles higher time frame data, this indicator is designed to function best when applied to a 5-minute or lower time frame. We recommend adding this to your execution chart for the most accurate and responsive data.
Recommended Use:
We suggest pairing this with the original ALGO V indicator to better understand how these levels behave, especially when they appear gray (neutral). This combination provides a full-spectrum view of trend strength, key zones, and potential breakouts .
Whether you’re a scalper, day trader, or swing trader, the ALGO V ATR Table will instantly add value to your trading workflow—offering clear, concise, and actionable insight at a glance.
Algo-V Indicator Can Be Found HERE:
StatPivot- Dynamic Range Analyzer - indicator [PresentTrading]Hello everyone! In the following few open scripts, I would like to share various statistical tools that benefit trading. For this time, it is a powerful indicator called StatPivot- Dynamic Range Analyzer that brings a whole new dimension to your technical analysis toolkit.
This tool goes beyond traditional pivot point analysis by providing comprehensive statistical insights about price movements, helping you identify high-probability trading opportunities based on historical data patterns rather than subjective interpretations. Whether you're a day trader, swing trader, or position trader, StatPivot's real-time percentile rankings give you a statistical edge in understanding exactly where current price action stands within historical contexts.
Welcome to share your opinions! Looking forward to sharing the next tool soon!
█ Introduction and How it is Different
StatPivot is an advanced technical analysis tool that revolutionizes retracement analysis. Unlike traditional pivot indicators that only show static support/resistance levels, StatPivot delivers dynamic statistical insights based on historical pivot patterns.
Its key innovation is real-time percentile calculation - while conventional tools require new pivot formations before updating (often too late for trading decisions), StatPivot continuously analyzes where current price stands within historical retracement distributions.
Furthermore, StatPivot provides comprehensive statistical metrics including mean, median, standard deviation, and percentile distributions of price movements, giving traders a probabilistic edge by revealing which price levels represent statistically significant zones for potential reversals or continuations. By transforming raw price data into statistical insights, StatPivot helps traders move beyond subjective price analysis to evidence-based decision making.
█ Strategy, How it Works: Detailed Explanation
🔶 Pivot Point Detection and Analysis
The core of StatPivot's functionality begins with identifying significant pivot points in the price structure. Using the parameters left and right, the indicator locates pivot highs and lows by examining a specified number of bars to the left and right of each potential pivot point:
Copyp_low = ta.pivotlow(low, left, right)
p_high = ta.pivothigh(high, left, right)
For a point to qualify as a pivot low, it must have left higher lows to its left and right higher lows to its right. Similarly, a pivot high must have left lower highs to its left and right lower highs to its right. This approach ensures that only significant turning points are recognized.
🔶 Percentage Change Calculation
Once pivot points are identified, StatPivot calculates the percentage changes between consecutive pivot points:
For drops (when a pivot low is lower than the previous pivot low):
CopydropPercent = (previous_pivot_low - current_pivot_low) / previous_pivot_low * 100
For rises (when a pivot high is higher than the previous pivot high):
CopyrisePercent = (current_pivot_high - previous_pivot_high) / previous_pivot_high * 100
These calculations quantify the magnitude of each market swing, allowing for statistical analysis of historical price movements.
🔶 Statistical Distribution Analysis
StatPivot computes comprehensive statistics on the historical distribution of drops and rises:
Average (Mean): The arithmetic mean of all recorded percentage changes
CopyavgDrop = array.avg(dropValues)
Median: The middle value when all percentage changes are arranged in order
CopymedianDrop = array.median(dropValues)
Standard Deviation: Measures the dispersion of percentage changes from the average
CopystdDevDrop = array.stdev(dropValues)
Percentiles (25th, 75th): Values below which 25% and 75% of observations fall
Copyq1 = array.get(sorted, math.floor(cnt * 0.25))
q3 = array.get(sorted, math.floor(cnt * 0.75))
VaR95: The maximum expected percentage drop with 95% confidence
Copyvar95D = array.get(sortedD, math.floor(nD * 0.95))
Coefficient of Variation (CV): Measures relative variability
CopycvD = stdDevDrop / avgDrop
These statistics provide a comprehensive view of market behavior, enabling traders to understand the typical ranges and extreme moves.
🔶 Real-time Percentile Ranking
StatPivot's most innovative feature is its real-time percentile calculation. For each current price, it calculates:
The percentage drop from the latest pivot high:
CopycurrentDropPct = (latestPivotHigh - close) / latestPivotHigh * 100
The percentage rise from the latest pivot low:
CopycurrentRisePct = (close - latestPivotLow) / latestPivotLow * 100
The percentile ranks of these values within the historical distribution:
CopyrealtimeDropRank = (count of historical drops <= currentDropPct) / total drops * 100
This calculation reveals exactly where the current price movement stands in relation to all historical movements, providing crucial context for decision-making.
🔶 Cluster Analysis
To identify the most common retracement zones, StatPivot performs a cluster analysis by dividing the range of historical drops into five equal intervals:
CopyrangeSize = maxVal - minVal
For each interval boundary:
Copyboundaries = minVal + rangeSize * i / 5
By counting the number of observations in each interval, the indicator identifies the most frequently occurring retracement zones, which often serve as significant support or resistance areas.
🔶 Expected Price Targets
Using the statistical data, StatPivot calculates expected price targets:
CopytargetBuyPrice = close * (1 - avgDrop / 100)
targetSellPrice = close * (1 + avgRise / 100)
These targets represent statistically probable price levels for potential entries and exits based on the average historical behavior of the market.
█ Trade Direction
StatPivot functions as an analytical tool rather than a direct trading signal generator, providing statistical insights that can be applied to various trading strategies. However, the data it generates can be interpreted for different trade directions:
For Long Trades:
Entry considerations: Look for price drops that reach the 70-80th percentile range in the historical distribution, suggesting a statistically significant retracement
Target setting: Use the Expected Sell price or consider the average rise percentage as a reasonable target
Risk management: Set stop losses below recent pivot lows or at a distance related to the statistical volatility (standard deviation)
For Short Trades:
Entry considerations: Look for price rises that reach the 70-80th percentile range, indicating an unusual extension
Target setting: Use the Expected Buy price or average drop percentage as a target
Risk management: Set stop losses above recent pivot highs or based on statistical measures of volatility
For Range Trading:
Use the most common drop and rise clusters to identify probable reversal zones
Trade bounces between these statistically significant levels
For Trend Following:
Confirm trend strength by analyzing consecutive higher pivot lows (uptrend) or lower pivot highs (downtrend)
Use lower percentile retracements (20-30th percentile) as entry opportunities in established trends
█ Usage
StatPivot offers multiple ways to integrate its statistical insights into your trading workflow:
Statistical Table Analysis: Review the comprehensive statistics displayed in the data table to understand the market's behavior. Pay particular attention to:
Average drop and rise percentages to set reasonable expectations
Standard deviation to gauge volatility
VaR95 for risk assessment
Real-time Percentile Monitoring: Watch the real-time percentile display to see where the current price movement stands within the historical distribution. This can help identify:
Extreme movements (90th+ percentile) that might indicate reversal opportunities
Typical retracements (40-60th percentile) that might continue further
Shallow pullbacks (10-30th percentile) that might represent continuation opportunities in trends
Support and Resistance Identification: Utilize the plotted pivot points as key support and resistance levels, especially when they align with statistically significant percentile ranges.
Target Price Setting: Use the expected buy and sell prices calculated from historical averages as initial targets for your trades.
Risk Management: Apply the statistical measurements like standard deviation and VaR95 to set appropriate stop loss levels that account for the market's historical volatility.
Pattern Recognition: Over time, learn to recognize when certain percentile levels consistently lead to reversals or continuations in your specific market, and develop personalized strategies based on these observations.
█ Default Settings
The default settings of StatPivot have been carefully calibrated to provide reliable statistical analysis across a variety of markets and timeframes, but understanding their effects allows for optimal customization:
Left Bars (30) and Right Bars (30): These parameters determine how pivot points are identified. With both set to 30 by default:
A pivot low must be the lowest point among 30 bars to its left and 30 bars to its right
A pivot high must be the highest point among 30 bars to its left and 30 bars to its right
Effect on performance: Larger values create fewer but more significant pivot points, reducing noise but potentially missing important market structures. Smaller values generate more pivot points, capturing more nuanced movements but potentially including noise.
Table Position (Top Right): Determines where the statistical data table appears on the chart.
Effect on performance: No impact on analytical performance, purely a visual preference.
Show Distribution Histogram (False): Controls whether the distribution histogram of drop percentages is displayed.
Effect on performance: Enabling this provides visual insight into the distribution of retracements but can clutter the chart.
Show Real-time Percentile (True): Toggles the display of real-time percentile rankings.
Effect on performance: A critical setting that enables the dynamic analysis of current price movements. Disabling this removes one of the key advantages of the indicator.
Real-time Percentile Display Mode (Label): Chooses between label display or indicator line for percentile rankings.
Effect on performance: Labels provide precise information at the current price point, while indicator lines show the evolution of percentile rankings over time.
Advanced Considerations for Settings Optimization:
Timeframe Adjustment: Higher timeframes generally benefit from larger Left/Right values to identify truly significant pivots, while lower timeframes may require smaller values to capture shorter-term swings.
Volatility-Based Tuning: In highly volatile markets, consider increasing the Left/Right values to filter out noise. In less volatile conditions, lower values can help identify more potential entry and exit points.
Market-Specific Optimization: Different markets (forex, stocks, commodities) display different retracement patterns. Monitor the statistics table to see if your market typically shows larger or smaller retracements than the current settings are optimized for.
Trading Style Alignment: Adjust the settings to match your trading timeframe. Day traders might prefer settings that identify shorter-term pivots (smaller Left/Right values), while swing traders benefit from more significant pivots (larger Left/Right values).
By understanding how these settings affect the analysis and customizing them to your specific market and trading style, you can maximize the effectiveness of StatPivot as a powerful statistical tool for identifying high-probability trading opportunities.
Horizontal EMADesigned to plot a horizontal Exponential Moving Average (EMA) line on a TradingView chart. The script allows users to specify the period and source for the EMA calculation. The line remains fixed at the calculated EMA value, providing a visual reference for the trend over the specified period. The script uses version 5 of Pine Script and draws a blue horizontal line at the EMA value on the chart, updating as new data is available.
ATH Pullback Levels with AlertsThe following identifies the following levels:
1. Correction - 10% Pullback from ATH
2. Midpoint - 15% Pullback from ATH
3. Bear Market - 20% Pullback from ATH
[NLR] - SweetSpot ZonesThe Sweet Spot Zone helps you find the best spots to enter a trade, inspired by the " Follow Line Indicator " by Dreadblitz (big thanks to him!). It draws a colored zone on your chart to show ideal entry points, with a Base Point to keep you on track.
What It Does
Blue Zone: Uptrend—buy when the price dips into the zone.
Red Zone: Downtrend—sell or short when the price climbs into the zone.
Base Point: A gray line showing the key level the zone is built on.
How to Use It
Look for the colored zone:
- Blue: Buy if the price dips into the zone but stays above the Base Point.
- Red: Sell/short if the price climbs into the zone but stays below the Base Point.
Important: Avoid entering trade beyond base point - you might see low returns and face big drawdowns.
Confirm with other signals (like RSI/MACD) before entering.
Settings
ATR Length (10): How far back it looks to calculate price movement.
ATR Multiplier (2.5): How wide the zone is.
Error Margin (5.0): Keeps the zone steady during small price wiggles.
Uptrend/Downtrend Colors: Change the zone colors if you’d like!
Credits
Inspired by the "Follow Line Indicator" by Dreadblitz—check out his work for more great ideas!
CFD Calculator For GFTC & INFINOX MT5Optimized CFD Trade Calculator + Pivot (Version 2) – For INFINOX MT5 & *GFTC
Risk Management & Entry Calculation:
Automatically computes the recommended entry lot size based on user inputs such as total capital and maximum loss percentage. For instance, a 0.4 lot position is sized to limit losses within 10% of a total capital of $1000 for a short position.
Pivot-Based Stoploss:
Dynamically updates stoploss levels using pivot high and low values. The indicator adjusts the pivot levels in real time as new extreme values are confirmed, ensuring that stoploss levels reflect current market conditions.
Real-Time Chart Display:
Key metrics are displayed through a customizable table, along with visual markers (triangles) that highlight breakouts. Shading is applied to indicate overbought/oversold conditions and divergence signals, with transparency and color settings fully configurable.
Additional Optional Features:
Users can selectively activate divergence, stochastic, and MFI signal alerts via the settings panel. These features are off by default to maintain a clean interface but can be enabled as needed.
User Interface Customization:
The indicator offers extensive customization for table headers, text, and background colors. This enables traders to tailor the display for optimal readability and integration with their charting style.
*GFTC : Global Financial Traders Council
Strong Levels (with Proximity Alerts)█ OVERVIEW
The "Strong Levels (with Proximity Alerts)" indicator offers a fresh approach to identifying support and resistance levels, inspired by the RexDog Trading System (RDTS). It pinpoints significant price reversals using a unique filtering method that reduces noise and enhances reliability. Paired with customizable ATR-based proximity alerts, this indicator empowers traders to track critical price zones with precision.
█ FEATURES
- Rooted in RDTS :
Inspired by the RexDog Trading System (RDTS), it highlights major pivot points where price executed sharp turnarounds, ensuring levels carry true market weight.
- Second-Highest/Lowest Open/Close Method :
Resistance levels use the *second-highest open/close* near pivot highs, while support levels use the *second-lowest open/close* near pivot lows—skipping extreme wicks for cleaner, more dependable lines.
- ATR-Driven Proximity Alerts :
Customizable proximity thresholds, calculated using the Average True Range (ATR), warn traders when price approaches key levels—a standout feature not found in most support/resistance indicators.
- Flexible Customization :
- Magnitude : Tweak pivot sensitivity (default: 10).
- Line Colors : Set resistance (red by default), support (green), and proximity (yellow) lines.
- Line Options : Adjust line origins, transparency for breached levels, and the maximum number of levels shown.
- ATR Settings : Fine-tune proximity sensitivity with ATR length and multiplier.
█ HOW TO USE
1. Add to Chart :
Find "Strong Levels (with Proximity Alerts)" in TradingView’s indicator library and apply it.
2. Read the Lines :
- Red Lines : Resistance, derived from the second-highest open/close near pivot highs.
- Green Lines : Support, based on the second-lowest open/close near pivot lows.
- Yellow Dashed Lines : Proximity thresholds (optional), signaling when price nears a level.
3. Customize :
- Raise `Magnitude` for stronger levels or lower it for more detail.
- Adjust colors, transparency, and max levels to fit your preferences.
- Toggle proximity thresholds on/off based on your trading style.
- Enabling *Plot Line from Actual Pivot Bar* offers a cleaner chart but may mislead as lines plot into the past.
4. Set Alerts :
- Open TradingView’s alert menu (the three dots ... dropdown menu next in indicator list has an option "Add alert on ...") and choose "Approaching Level" or "Level Touched.".
- Don't forget to choose the right Trigger condition, which by default is "Only Once". I usually set it to "Once Per Bar".
- Tailor alert conditions to your needs.
█ LIMITATIONS
- Past-Based Levels :
- Relying on historical pivots, it may not always forecast future moves, especially in rapid markets.
- The 'Plot Line from Actual Pivot Bar' option while visually appealing can imply historical significance that didn’t exist at the time. Be mindful of that.
- Volatility Sensitivity :
High volatility widens ATR-based thresholds, which might trigger alerts too soon.
- Display Management :
A cap on max levels avoids clutter, but tweaking `Max Levels` may be needed across timeframes.
█ ACCOMPANYING CHART
The chart showcases the indicator’s unique edge:
- A pivot high and low are flagged, with nearby bars highlighted.
- Resistance is plotted at the *second-highest open/close* around the pivot high, bypassing the highest wick.
- Support is set at the *second-lowest open/close* near the pivot low, ignoring the deepest wick.
- Yellow dashed proximity lines illustrate how the indicator warns traders as price nears these zones.
- Annotations clarify how skipping extreme wicks creates cleaner, more actionable levels.
█ HOW TO USE
1. Add to Chart :
Locate "Strong Levels (with Proximity Alerts)" in TradingView’s indicator library and apply it to your chart.
2. Read the Lines :
- Red Lines**: Resistance levels, calculated from the second-highest open/close near pivot highs.
- Green Lines : Support levels, derived from the second-lowest open/close near pivot lows.
- Yellow Dashed Lines : Optional proximity thresholds, alerting you when price nears a level.
3. Customize :
- Increase `Magnitude` for stronger, less frequent levels or decrease it for more granularity.
- Modify colors, transparency, or the maximum number of levels to suit your style.
- Enable or disable proximity thresholds as needed.
4. Set Alerts :
- Access TradingView’s alert menu and select "Approaching Level" or "Level Touched."
- Adjust conditions to match your trading preferences.
5. My Personal Approach :
I prefer using this indicator on higher timeframes, like hourly or daily charts. I adjust my `Magnitude`, so it doesn't trigger too often and set my alerts to trigger "Once Per Bar". When price nears a level, I get an alert and I anticipate a reaction but avoid placing limit orders blindly. Instead, I switch to smaller timeframes and combine it with other tools for confirmation before making a trade. This saves me a lot of screen time, and allows me to focus when it matters.
