TheWealthSaarthiRSThis is custom Code Indicator which gives following data
- compares stock strength vs the indices which can be selected in indicator
- Rvol
- 20 day Moving avera
- how much is stock up in last 66 days
Trend Analysis
SQV Indicator Bridge# SQV Indicator Bridge - Quick Guide
## What is SQV Indicator Bridge?
A simple connector that validates your indicator's signals using SQV Lite before displaying them on the chart. Only high-quality signals pass through.
## How It Works
```
Your Indicator → Generates Signals → SQV Lite → Validates Quality → Bridge → Shows Only Valid Signals
```
## Quick Setup (3 Steps)
### Step 1: Prepare Your Indicator
Add these lines to export your signals:
```pinescript
// At the end of your indicator code
plot(longCondition ? 1 : 0, "Long Signal", display=display.none)
plot(shortCondition ? 1 : 0, "Short Signal", display=display.none)
```
### Step 2: Add to Chart (in order)
1. Your indicator
2. SQV Lite
3. SQV Indicator Bridge
### Step 3: Connect Sources
In Bridge settings:
- **Long Signal Source** → Select: YourIndicator: Long Signal
- **Short Signal Source** → Select: YourIndicator: Short Signal
- **SQV Long Valid** → Select: SQV Lite: SQV Long Valid
- **SQV Short Valid** → Select: SQV Lite: SQV Short Valid
- **SQV Score** → Select: SQV Lite: SQV Score
## Visual Settings
| Setting | Description | Default |
|---------|-------------|---------|
| Show Labels | Display BUY/SELL labels | On |
| Label Offset | Distance from candles (0-5 ATR) | 0 |
| Label Size | Tiny, Small, or Normal | Small |
| Long Color | Color for buy signals | Green |
| Short Color | Color for sell signals | Red |
## What You'll See
- **Green "LONG" labels** - When your buy signal passes SQV validation
- **Red "SHORT" labels** - When your sell signal passes SQV validation
- **No label** - When signal quality is too low
## Common Issues & Solutions
### No labels appearing?
1. Check "Use External Signals" is ON in SQV Lite
2. Verify source connections are correct
3. Lower minimum score in SQV Lite (try 60)
4. Test your indicator separately to ensure it generates signals
### Too many/few signals?
- Adjust "Minimum Quality Score" in SQV Lite
- Default is 65, lower for more signals, higher for fewer
### Wrong signals showing?
- Check Trading Mode in SQV Lite matches your strategy (Long Only/Short Only/Both)
## Example Integration
### Simple MA Cross Indicator
```pinescript
//@version=6
indicator("MA Cross with SQV", overlay=true)
// Your logic
fast = ta.sma(close, 20)
slow = ta.sma(close, 50)
longSignal = ta.crossover(fast, slow)
shortSignal = ta.crossunder(fast, slow)
// Plot MAs
plot(fast, color=color.blue)
plot(slow, color=color.red)
// Export for SQV Bridge (REQUIRED!)
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
## Tips
✅ **DO**:
- Test in "Autonomous Mode" first (SQV Lite setting)
- Use clear signal names in your plots
- Keep signals binary (1 or 0)
❌ **DON'T**:
- Forget to add `display=display.none` to signal plots
- Use values other than 0 and 1 for signals
- Leave "Use External Signals" OFF in SQV Lite
## Alert Setup
1. Enable "Enable Alerts" in Bridge settings
2. Create alert on Bridge (not your indicator)
3. Alert message includes SQV score
Example alert: `"Long Signal Validated | Score: 85"`
## Complete Bridge Code
```pinescript
//@version=6
indicator("SQV Indicator Bridge", overlay=true)
// From your indicator
longSignal = input.source(close, "Long Signal Source", group="Signal Sources")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources")
// From SQV Lite
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources")
sqvScore = input.source(close, "SQV Score", group="SQV Sources")
// Settings
showLabels = input.bool(true, "Show Labels", group="Visual")
labelOffset = input.float(0.0, "Label Offset (ATR)", minval=0.0, maxval=5.0, step=0.5, group="Visual")
labelSize = input.string("small", "Label Size", options= , group="Visual")
longColor = input.color(color.green, "Long Color", group="Visual")
shortColor = input.color(color.red, "Short Color", group="Visual")
enableAlerts = input.bool(false, "Enable Alerts", group="Alerts")
// Logic
atr = ta.atr(14)
offset = labelOffset > 0 ? atr * labelOffset : 0
hasValidLong = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasValidShort = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Show labels
if showLabels
if hasValidLong
label.new(bar_index, low - offset, "LONG",
style=label.style_label_up,
color=longColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
if hasValidShort
label.new(bar_index, high + offset, "SHORT",
style=label.style_label_down,
color=shortColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
// Alerts
if enableAlerts
if hasValidLong
alert("Long Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
if hasValidShort
alert("Short Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
```
---
**Need help?** Check the full SQV documentation or contact through TradingView messages.
Top 30 Crypto IndexAttempt at creating an Index for the Crypto Market, data based on top 30 as data-sources are limited on TV
[Top] Multi-Candle Pattern DetectorThe Multi-Candle Pattern Detector is a powerful tool that scans for a wide variety of high-probability candlestick formations directly on the chart. It highlights key multi-bar reversal and continuation patterns using intuitive emoji-based labels and descriptive tooltips, helping traders quickly assess market conditions and potential setups.
Supported patterns include:
Bullish & Bearish Engulfing
Morning Star / Evening Star
Three Line Strike
Rising / Falling Three Methods
Hammer / Inverted Hammer / Hanging Man / Gravestone Doji
To reduce false signals, this script includes a built-in trend filter using a custom LHAMA (Low-High Adaptive Moving Average) calculation. Patterns are only displayed when recent price action is not flat, helping traders avoid entries during consolidation.
Users can toggle each pattern type individually, making the script adaptable for various strategies and timeframes.
⸻
Potential Uses
Reversal Spotting: Identify key inflection points at the end of trends.
Continuation Confirmation: Confirm trend strength following brief pauses in momentum.
Price Action Training: Visually reinforce recognition of textbook candlestick patterns.
Strategy Integration: Combine with trend or volume filters for more advanced rule-based systems.
⸻
This indicator is suitable for traders who rely on price action and candlestick psychology, and is useful across all asset classes and chart intervals.
✅ TrendSniper Pro✅ SPNIPER ENTRY – Precision Trend Reversal Signals
The SPNIPER ENTRY is a smart trend-following and reversal indicator designed for traders who want timely entries, clear trend confirmation, and clean visuals.
Key Features:
✅ Triple TEMA Trend Confirmation (21, 50, 200): Ensures you're entering only when all moving averages agree on direction.
🎯 Dip/Top Detection: Uses pivot analysis and ATR proximity to detect ideal pullback entries in the prevailing trend.
📉 Stop Loss & Take Profit Zones: ATR-based dynamic SL/TP levels plotted automatically.
📛 False Signal Filter: Avoids multiple entries by maintaining a position until an opposite signal occurs.
📊 Clean Chart Coloring: Candles turn green for confirmed uptrend and red for downtrend—easy to follow.
🔔 Built-in Alerts: Be notified when conditions align perfectly for a high-probability trade.
👁️ Optional TEMA Display: Toggle visibility of trend components for deeper insight.
How it Works:
A buy signal occurs only when:
All 3 TEMA slopes are positive
Price pulls back near a recent pivot low (dip)
A valid uptrend is in place
A sell signal occurs only when:
All 3 TEMA slopes are negative
Price nears a recent pivot high (top)
A confirmed downtrend is active
This indicator is ideal for swing traders, intraday traders, and scalpers who want precise entries based on structure, slope, and volatility.
No Supply No Demand (NSND) – Volume Spread Analysis ToolThis indicator is designed for traders utilizing Volume Spread Analysis (VSA) techniques. It automatically detects potential No Demand (ND) and No Supply (NS) candles based on volume and price behavior, and confirms them using future price action within a user-defined number of lookahead bars.
Confirmed No Demand (ND): Detected when a bullish candle has volume lower than the previous two bars and is followed by weakness (next highs swept, close below).
Confirmed No Supply (NS): Detected when a bearish candle has volume lower than the previous two bars and is followed by strength (next lows swept, close above).
Adjustable lookahead bars parameter to control the confirmation window.
This tool helps identify potential distribution (ND) and accumulation (NS) areas, providing early signs of market turning points based on professional volume logic. The dot appears next to ND or NS.
Combined: Strat Dashboard + FVG + M&E StarsSTRAT MIX + VECTOR + SUPPORT
In financial markets, support and resistance are fundamental concepts in technical analysis used to identify price levels where an asset's price tends to pause or reverse. They are essentially areas on a chart where buying or selling pressure is expected to be strong enough to temporarily halt or reverse the prevailing price trend.
Here's a breakdown:
* Support: This is a price level where an asset's downward movement is expected to stop due to increased buying interest. Think of it as a "floor" where demand is strong enough to prevent the price from falling further. When the price approaches a support level, buyers tend to step in, leading to a potential bounce or reversal upwards. The more times a price level has held as support in the past, the stronger it's generally considered.
* Resistance: This is a price level where an asset's upward movement is expected to stop due to increased selling interest. It acts like a "ceiling" where supply is strong enough to prevent the price from rising higher. When the price approaches a resistance level, sellers tend to step in, leading to a potential pullback or reversal downwards. Similar to support, the more times a price level has acted as resistance, the more significant it's often seen.
Key characteristics:
* Supply and Demand: Support and resistance levels are a reflection of the continuous interplay between supply (sellers) and demand (buyers) in the market.
* Dynamic Nature: These levels are not fixed lines but rather zones. They can also "flip roles"; if a resistance level is broken and the price moves above it, that former resistance can then become a new support level, and vice-versa.
* Psychological Importance: These levels often derive their strength from collective market psychology, as many traders and investors recognize and react to the same price points.
TREV Candles - Range-Based Trend ReversalTREV Candles - Range-Based Trend Reversal Chart Implementation
What is a Trend Reversal (TREV) Chart?
A Trend Reversal chart, also known as a Point & Figure chart variation, is a unique charting method that focuses on price movement thresholds rather than time intervals. Unlike traditional candlestick charts where each candle represents a fixed time period, TREV candles form only when price moves by predefined amounts in ticks.
TREV charts eliminate time-based noise and focus purely on significant price movements, making them ideal for identifying genuine trend changes and continuation patterns.
How TREV Candles Work
This indicator implements true TREV logic with two critical thresholds:
Trend Size: The number of ticks price must move in the current direction to form a trend continuation candle
Reversal Size: The number of ticks price must move against the current direction to form a reversal candle and change the overall trend direction
Key TREV Rules Enforced:
Direction Changes Only Through Reversals: You cannot go from bullish trend directly to bearish trend - a reversal candle must occur first
Threshold-Based Formation: Candles form only when price thresholds are breached, not on time
Logical Wick Placement: Wicks only appear on the "open" side of candles where price temporarily moved against the formation direction
Multiple Candles Per Bar: When price moves significantly, several TREV candles can form within a single time-based bar
Four Distinct Candle Types
Bullish Trend (Green): Continues upward movement when trend threshold is hit
Bearish Trend (Red): Continues downward movement when trend threshold is hit
Bullish Reversal (Blue): Changes from bearish to bullish direction when reversal threshold is breached
Bearish Reversal (Orange): Changes from bullish to bearish direction when reversal threshold is breached
Practical Trading Applications
Trend Identification: Clear visual representation of when trends are continuing vs. reversing
Noise Reduction: Filters out insignificant price movements that don't meet threshold requirements
Support/Resistance: TREV levels often act as significant support and resistance zones
Breakout Confirmation: When price forms multiple trend candles in succession, it confirms strong directional movement
Reversal Signals: Reversal candles provide early warning of potential trend changes
Technical Implementation Features
Intelligent Price Path Processing: Analyzes the assumed price path within each bar (Low→High→Close for bullish bars, High→Low→Close for bearish bars)
Automatic Tick Size Detection: Works with any instrument by automatically detecting the correct tick size
Manual Override Option: Allows manual tick size specification for custom analysis
Impossible Scenario Prevention: Built-in logic prevents impossible wick configurations and direction changes
PineScript Optimization: Efficient state management and drawing limits handling for smooth performance
Comprehensive Styling Options
Each of the four candle types offers complete visual customization:
Body Colors: Independent color settings for each candle type's body
Border Colors: Separate border color customization
Border Styles: Choose from solid, dashed, or dotted borders
Wick Colors: Individual wick color settings for each candle type
Default Color Scheme:
🟢 Bullish Trend: Green body and wicks
🔵 Bullish Reversal: Blue body and wicks
🔴 Bearish Trend: Red body and wicks
🟠 Bearish Reversal: Orange body and wicks
Configuration Guidelines
Trend Size: Larger values create fewer, more significant trend candles. Smaller values increase sensitivity
Reversal Size: Should typically be smaller than trend size. Controls how easily the trend direction can change
Tick Size: Use "auto" for most instruments. Manual override useful for custom point values or backtesting
Ideal Use Cases
Swing Trading: Identify major trend changes and continuation patterns
Scalping: Use smaller thresholds to catch quick reversals and momentum shifts
Position Trading: Use larger thresholds to filter noise and focus on major trend moves
Multi-Timeframe Analysis: Compare TREV patterns across different threshold settings
Support/Resistance Trading: TREV close levels often become significant price zones
Why This Implementation is Superior
True TREV Logic: Enforces proper trend reversal rules that many implementations ignore
No Impossible Scenarios: Prevents wicks on both sides of candles and impossible direction changes
Professional Visualization: Clean, customizable appearance suitable for serious analysis
Performance Optimized: Handles large datasets without lag or drawing limit issues
Educational Value: Helps traders understand the difference between time-based and threshold-based charting
Perfect for traders who want to see beyond time-based noise and focus on what price is actually doing - moving in significant, measurable amounts that matter for trading decisions.
Ease of Movement Z-Score Trend | DextraGeneral Description:
The "Ease of Movement Z-Score Trend | Dextra" (EOM-Z Trend) is an innovative technical analysis tool that combines the Ease of Movement (EOM) concept with Z-Score to measure how easily price moves relative to volume, while identifying market trends with intuitive visualization. This indicator is designed to help traders detect uptrend and downtrend phases with precision, enhanced by candle coloring for direct trend representation on the chart.
Key Features
Ease of Movement (EOM): Measures how easily price moves based on the change in the midpoint price and volume, normalized with Z-Score for statistical analysis.
Z-Score Normalization: Provides an indication of deviations from the mean, enabling the identification of overbought or oversold conditions.
Adjustable Thresholds: Users can customize upper and lower thresholds to define trend boundaries.
Candle Coloring: Visual trend representation with green (uptrend), red (downtrend), and gray (neutral) candles.
Flexibility: Adjustable for different timeframes and assets.
How It Works
The indicator operates through the following steps:
EOM Calculation:
hl2 = (high + low) / 2: Calculates the average midpoint price per bar.
eom = ta.sma(10000 * ta.change(hl2) * (high - low) / volume, length): EOM is computed as the smoothed average of the price midpoint change multiplied by the price range per unit volume, scaled by 10,000, over length bars (default 20).
Z-Score Calculation:
mean_eom = ta.sma(eom, z_length): Average EOM over z_length bars (default 93).
std_dev_eom = ta.stdev(eom, z_length): Standard deviation of EOM.
z_score = (eom - mean_eom) / std_dev_eom: Z-Score indicating how far EOM deviates from its mean in standard deviation units.
Trend Detection:
upperthreshold (default 1.03) and lowerthreshold (default -1.63): Thresholds to classify uptrend (if Z-Score > upperthreshold) and downtrend (if Z-Score < lowerthreshold).
eom_is_up and eom_is_down: Logical variables for trend status.
Visualization:
plot(z_score, ...): Z-Score line plotted with green (uptrend), red (downtrend), or gray (neutral) coloring.
plotcandle(...): Candles colored green, red, or gray based on trend.
hline(...): Dashed lines marking the thresholds.
Input Settings
EOM Length (default 20): Period for calculating EOM, determining sensitivity to price changes.
Z-Score Lookback Period (default 93): Period for calculating the Z-Score mean and standard deviation.
Uptrend Threshold (default 1.03): Minimum Z-Score value to classify an uptrend.
Downtrend Threshold (default -1.93): Maximum Z-Score value to classify a downtrend.
How to Use
Installation: Add the indicator via the "Indicators" menu in TradingView and search for "EOM-Z Trend | Dextra".
Customization:
Adjust EOM Length and Z-Score Lookback Period based on the timeframe (e.g., 20 and 93 for daily timeframes).
Set Uptrend Threshold and Downtrend Threshold according to preference or asset characteristics (e.g., lower to 0.8 and -1.5 for volatile markets).
Interpretation:
Uptrend (Green): Z-Score above upperthreshold, indicating strong upward price movement.
Downtrend (Red): Z-Score below lowerthreshold, indicating significant downward movement.
Neutral (Gray): Conditions between thresholds, suggesting a sideways market.
Use candle coloring as the primary visual guide, combined with the Z-Score line for confirmation.
Advantages
Intuitive Visualization: Candle coloring simplifies trend identification without deep analysis.
Flexibility: Customizable parameters allow adaptation to various markets.
Statistical Analysis: Z-Score provides a robust perspective on price deviations from the norm.
No Repainting: The indicator uses historical data and does not alter values after a bar closes.
Limitations
Volume Dependency: Requires accurate volume data; an error occurs if volume is unavailable.
Market Context: Effectiveness depends on properly tuned thresholds for specific assets.
Lack of Additional Signals: No built-in alerts or supplementary confirmation indicators.
Recommendations
Ideal Timeframe: Daily (1D) or (2D) for stable trends.
Combination: Pair with others indicators for signal validation.
Optimization: Test thresholds on historical data of the traded asset for optimal results.
Important Notes
This indicator relies entirely on internal TradingView data (high, low, close, volume) and does not integrate on-chain data. Ensure your data provider supports volume to avoid errors. This version (1.0) is the initial release, with potential future updates including features like alerts or multi-timeframe analysis.
Candle Ghosts: MTF 3 Candle Viewer by Chaitu50cCandle Ghosts: MTF 3 Candle Viewer helps you see candles from other timeframes directly on your chart. It shows the last 3 candles from a selected timeframe as semi-transparent boxes, so you can compare different timeframes without switching charts.
You can choose to view candles from 30-minute, 1-hour, 4-hour, daily, or weekly timeframes. The candles are drawn with their full open, high, low, and close values, including the wicks, so you get a clear view of their actual shape and size.
The indicator lets you adjust the position of the candles using horizontal and vertical offset settings. You can also control the spacing between the candles for better visibility.
An optional EMA (Exponential Moving Average) from the selected timeframe is also included to help you understand the overall trend direction.
This tool is useful for:
Intraday traders who want to see higher timeframe candles for better decisions
Swing traders checking lower timeframe setups
Anyone doing top-down analysis using multiple timeframes on a single chart
This is a simple and visual way to study how candles from different timeframes behave together in one place.
Iambuoyant High Win Rate TraderIambuoyant High Win Rate Trader (Debug Signals) - Indicator Description
Introduction
The "Iambuoyant High Win Rate Trader" is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities across various market conditions. Built with a multi-faceted approach, it integrates several key technical analysis concepts to provide robust buy and sell signals, aiming to maximize potential returns while managing risk. This indicator is particularly useful for traders looking for confirmed entries based on a confluence of factors rather than relying on a single signal.
Strategies Used
This indicator employs a sophisticated combination of strategies, each contributing to a stronger signal when aligned:
Trend Analysis:
Multiple EMAs: It utilizes three Exponential Moving Averages (EMAs) – a fast, slow, and a longer-term trend EMA – to establish the prevailing market direction. Signals are filtered to align with this identified trend, enhancing their probability of success.
Trend Alignment: Confirms that price action is consistent with the established EMA trend, ensuring trades are taken in the direction of momentum.
Oscillator Confirmation:
Relative Strength Index (RSI): Employs RSI to identify overbought and oversold conditions, with a specific focus on the RSI turning away from extreme levels, suggesting a potential reversal or continuation point.
Stochastic Oscillator: Similar to RSI, the Stochastic Oscillator is used to pinpoint overbought and oversold zones, with additional confirmation from the %K and %D lines crossing or turning.
Momentum and Divergence (MACD):
Moving Average Convergence Divergence (MACD): The indicator analyzes MACD line and signal line crossovers, alongside histogram movement, to gauge momentum shifts and potential trade entries.
Volume Analysis:
Volume Confirmation: Integrates volume analysis by comparing current volume to a Volume Moving Average. Higher-than-average volume during a signal can confirm conviction behind the price move.
Market Structure and Volatility:
Support and Resistance (S/R) Levels: Dynamic support and resistance levels are identified using pivot points. These levels are used to inform potential stop-loss placements and to ensure trades aren't initiated directly into strong opposing S/R zones.
Average True Range (ATR): ATR is used to measure market volatility, which helps in adjusting trade sizing and stop-loss distances. A volatility filter is included to prevent trades in excessively choppy or illiquid conditions.
Risk Management:
Dynamic Stop Loss: The indicator attempts to identify logical stop-loss levels based on recent price action or nearby support/resistance.
Risk:Reward Ratio Filtering: A configurable minimum Risk:Reward ratio ensures that only trades with a favorable potential return relative to the risk are considered, promoting disciplined trading.
Signal Confirmation:
Confirmation Bars: An optional confirmBars input allows for signals to be confirmed over a specified number of bars, reducing false positives by waiting for price action to sustain the initial signal. (Note: For debugging, this is often set to 0 for immediate signals.)
How to Use the Indicator
Add to Chart: Apply the "Iambuoyant High Win Rate Trader (Debug Signals)" indicator to your desired chart in TradingView. It's an overlay indicator, meaning it will plot directly on your price chart.
Understand the Signals:
Buy Signals (Green Triangles/Labels): Appear below the price bars, indicating a potential long entry.
Sell Signals (Red Triangles/Labels): Appear above the price bars, indicating a potential short entry.
"Flash" Signals: Smaller, colored triangles indicate the immediate bar where the signal conditions are first met.
"Confirmed" Signals: Larger, shaded triangles with labels indicate that the signal has passed the confirmBars criteria (if confirmBars is set to greater than 0).
Utilize Debugging Features (Crucial for Optimization):
Access Inputs: Open the indicator's settings by clicking the gear icon next to its name on the chart.
"Signal Components (Debugging)" Section: This is the most powerful feature for tailoring the indicator to your needs.
Initial Setup: When first applying the indicator or if signals are too rare, start by setting most "Enable X Condition" toggles to false, potentially leaving only one or two simple conditions (e.g., "Enable RSI Condition" or "Enable Trend Alignment") as true. This will force signals to appear, allowing you to confirm the plotting mechanism works.
Gradual Re-enabling: Once you see signals, gradually re-enable one "Enable X Condition" at a time.
Observe Debug Plots (Lower Pane): Below your main chart, the indicator plots colored columns (e.g., "Debug: RSI Bull", "Debug: MACD Bear"). These show when each individual component of the long/short signal is true (1 or 2) or false (0 or na). The "Debug: Final Long Signal" and "Debug: Final Short Signal" plots show when the combined signal conditions are met.
Identify Bottlenecks: If signals disappear after enabling a new condition, observe its corresponding debug plot. If it's frequently 0 when other conditions are 1, you've found a bottleneck.
Adjust Parameters: For bottlenecks, go back to the relevant input section (e.g., "Oscillators," "Market Structure," "Signal Quality") and adjust parameters (e.g., rsiOB/rsiOS, stochOB/stochOS, volatilityFilter, minRRRatio) to be less strict until signals appear at your desired frequency. Alternatively, you may decide to leave that specific condition disabled if it's too restrictive for your strategy.
Configure Display Options: Use the "Display" group in the inputs to toggle the visibility of labels, support/resistance lines, and EMA trend lines on your chart.
Set Up Alerts: The indicator includes built-in alert conditions for "Confirmed Buy Signal" and "Confirmed Sell Signal." You can set up alerts in TradingView to be notified instantly when these signals occur, allowing you to monitor the market without constant chart watching.
Opening Range with Breakouts & Targets + Retest AlertsOpening Range with Breakouts & Targets + Retest Alerts
Opening Range Breakout strategy with custom sessions, breakout signals, dynamic targets, and smart retest alerts. Perfect for intraday traders seeking precision entries and high-probability setups.
This advanced ORB tool brings precision and flexibility to your trading by combining the Opening Range Breakout concept with retest confirmation, dynamic target projections, and custom session control.
Why Traders Love This Script
✅ High-Probability Setups – Breakouts with confirmation retests are statistically stronger.
✅ Custom Session Flexibility – Adapt the opening range to any market (Stocks, Forex, Crypto).
✅ Dynamic Targets – Automatically projected based on range size for clear profit objectives.
✅ Smart Alerts – Never miss a breakout retest opportunity with Unified Alert Conditions.
Features You’ll Get
✔ Opening Range Box – Marks the range for your selected timeframe or custom session.
✔ Breakout Arrows – Instant visual confirmation of bullish and bearish breakouts.
✔ Daily Bias Filter – Optional directional filter for higher accuracy.
✔ Dynamic Targets – Adaptive or extended display of projected targets.
✔ Retest Detection – Alerts when price retests the breakout zone after a breakout.
✔ Full Customization – Colors, text size, line styles, target styles, and more.
How to Use It
Set Your Opening Range – Default: 30 minutes after session open or choose a custom range.
Look for Breakouts – Signals appear when price closes beyond the range.
Wait for Retest – For higher confidence, enter on retest signals (green/red dots).
Manage Risk with Targets – Use dynamic target levels to plan your exits.
Pro Tip
Combine this indicator with EMA trend filters, VWAP, or volume confirmation for maximum precision.
Alerts
✅ Unified Break & Retest Alert – Fires when price successfully retests after a breakout, signaling a potential high-probability trade.
⚠ Disclaimer: This tool is for educational purposes only. Always use proper risk management and confirm with your own analysis before trading.
Jerome's EMACustomizable multiple commonly used MAs with EMAs
Can customize which MAs to use and can have multiple of MAs under 1 indicator
Support/Resistance LevelsThis indicator automatically detects the most relevant support and resistance levels based on recent pivot points.
Main Features:
✅ Automatic detection of support and resistance zones
✅ Fully customizable: line style, thickness, and colors
✅ Optional support/resistance zones (based on percentage)
✅ High/Low zone fill for recent extremes
✅ Auto-labeling of S/R levels on the chart
✅ Configurable line extension (right side only or both sides)
⚙️ Custom Settings:
Toggle S/R levels on or off
Choose line style (solid, dotted, dashed)
Set support/resistance colors
Adjust line width
Enable/disable zone display
Set zone width as a percentage
🔎 Use Cases:
Quickly identify key price levels
Trade with confidence around bounces and breakouts
Works on any market and any timeframe
(Subak)Profit/Loss LineYou can automatically check the take profit/loss price compared to the current value. You can set up to 7.
This indicator simply guides the price and does not provide direction.
Pegasus Returns EMAs (Green Above, Red Below)This indicator plots up to four customizable Exponential Moving Averages (EMAs) on the price chart, each with user-defined settings for visibility and period length. It is designed to provide a clear visual representation of bullish and bearish momentum based on the closing price relative to each EMA.
Key Features:
Custom EMA Periods: Easily modify the length of each EMA (default: 20, 50, 100, 200).
Dynamic Color Coding:
Green Line when the closing price is above the EMA (bullish signal).
Red Line when the closing price is below the EMA (bearish signal).
Toggle Visibility: You can choose to display or hide any of the four EMAs via checkboxes in the settings.
Overlay on Price Chart: EMAs are plotted directly on the candlestick chart for intuitive analysis.
Inputs:
Show EMA 1–4: Enable or disable each EMA.
EMA 1–4 Period: Set a custom period for each EMA (min 1).
Use Cases:
Identifying trend direction and strength.
Spotting dynamic support and resistance zones.
Entry/exit confirmation in trending markets
MACD Liquidity Tracker Strategy [Quant Trading]MACD Liquidity Tracker Strategy
Overview
The MACD Liquidity Tracker Strategy is an enhanced trading system that transforms the traditional MACD indicator into a comprehensive momentum-based strategy with advanced visual signals and risk management. This strategy builds upon the original MACD Liquidity Tracker System indicator by TheNeWSystemLqtyTrckr , converting it into a fully automated trading strategy with improved parameters and additional features.
What Makes This Strategy Original
This strategy significantly enhances the basic MACD approach by introducing:
Four distinct system types for different market conditions and trading styles
Advanced color-coded histogram visualization with four dynamic colors showing momentum strength and direction
Integrated trend filtering using 9 different moving average types
Comprehensive risk management with customizable stop-loss and take-profit levels
Multiple alert systems for entry signals, exits, and trend conditions
Flexible signal display options with customizable entry markers
How It Works
Core MACD Calculation
The strategy uses a fully customizable MACD configuration with traditional default parameters:
Fast MA : 12 periods (customizable, minimum 1, no maximum limit)
Slow MA : 26 periods (customizable, minimum 1, no maximum limit)
Signal Line : 9 periods (customizable, now properly implemented and used)
Cryptocurrency Optimization : The strategy's flexible parameter system allows for significant optimization across different crypto assets. Traditional MACD settings (12/26/9) often generate excessive noise and false signals in volatile crypto markets. By using slower, more smoothed parameters, traders can capture meaningful momentum shifts while filtering out market noise.
Example - DOGE Optimization (45/80/290 settings) :
• Performance : Optimized parameters yielding exceptional backtesting results with 29,800% PnL
• Why it works : DOGE's high volatility and social sentiment-driven price action benefits from heavily smoothed indicators
• Timeframes : Particularly effective on 30-minute and 4-hour charts for swing trading
• Logic : The very slow parameters filter out noise and capture only the most significant trend changes
Other Optimizable Cryptocurrencies : This parameter flexibility makes the strategy highly effective for major altcoins including SUI, SEI, LINK, Solana (SOL) , and many others. Each crypto asset can benefit from custom parameter tuning based on its unique volatility profile and trading characteristics.
Four Trading System Types
1. Normal System (Default)
Long signals : When MACD line is above the signal line
Short signals : When MACD line is below the signal line
Best for : Swing trading and capturing longer-term trends in stable markets
Logic : Traditional MACD crossover approach using the signal line
2. Fast System
Long signals : Bright Blue OR Dark Magenta (transparent) histogram colors
Short signals : Dark Blue (transparent) OR Bright Magenta histogram colors
Best for : Scalping and high-volatility markets (crypto, forex)
Logic : Leverages early momentum shifts based on histogram color changes
3. Safe System
Long signals : Only Bright Blue histogram color (strongest bullish momentum)
Short signals : All other colors (Dark Blue, Bright Magenta, Dark Magenta)
Best for : Risk-averse traders and choppy markets
Logic : Prioritizes only the strongest bullish signals while treating everything else as bearish
4. Crossover System
Long signals : MACD line crosses above signal line
Short signals : MACD line crosses below signal line
Best for : Precise timing entries with traditional MACD methodology
Logic : Pure crossover signals for more precise entry timing
Color-Coded Histogram Logic
The strategy uses four distinct colors to visualize momentum:
🔹 Bright Blue : MACD > 0 and rising (strong bullish momentum)
🔹 Dark Blue (Transparent) : MACD > 0 but falling (weakening bullish momentum)
🔹 Bright Magenta : MACD < 0 and falling (strong bearish momentum)
🔹 Dark Magenta (Transparent) : MACD < 0 but rising (weakening bearish momentum)
Trend Filter Integration
The strategy includes an advanced trend filter using 9 different moving average types:
SMA (Simple Moving Average)
EMA (Exponential Moving Average) - Default
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
RMA (Running Moving Average)
LSMA (Least Squares Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
VIDYA (Variable Index Dynamic Average)
Default Settings : 50-period EMA for trend identification
Visual Signal System
Entry Markers : Blue triangles (▲) below candles for long entries, Magenta triangles (▼) above candles for short entries
Candle Coloring : Price candles change color based on active signals (Blue = Long, Magenta = Short)
Signal Text : Optional "Long" or "Short" text inside entry triangles (toggleable)
Trend MA : Gray line plotted on main chart for trend reference
Parameter Optimization Examples
DOGE Trading Success (Optimized Parameters) :
Using 45/80/290 MACD settings with 50-period EMA trend filter has shown exceptional results on DOGE:
Performance : Backtesting results showing 29,800% PnL demonstrate the power of proper parameter optimization
Reasoning : DOGE's meme-driven volatility and social sentiment spikes create significant noise with traditional MACD settings
Solution : Very slow parameters (45/80/290) filter out social media-driven price spikes while capturing only major momentum shifts
Optimal Timeframes : 30-minute and 4-hour charts for swing trading opportunities
Result : Exceptionally clean signals with minimal false entries during DOGE's characteristic pump-and-dump cycles
Multi-Crypto Adaptability :
The same optimization principles apply to other major cryptocurrencies:
SUI : Benefits from smoothed parameters due to newer coin volatility patterns
SEI : Requires adjustment for its unique DeFi-related price movements
LINK : Oracle news events create price spikes that benefit from noise filtering
Solana (SOL) : Network congestion events and ecosystem developments need smoothed detection
General Rule : Higher volatility coins typically benefit from very slow MACD parameters (40-50 / 70-90 / 250-300 ranges)
Key Input Parameters
System Type : Choose between Fast, Normal, Safe, or Crossover (Default: Normal)
MACD Fast MA : 12 periods default (no maximum limit, consider 40-50 for crypto optimization)
MACD Slow MA : 26 periods default (no maximum limit, consider 70-90 for crypto optimization)
MACD Signal MA : 9 periods default (now properly utilized, consider 250-300 for crypto optimization)
Trend MA Type : EMA default (9 options available)
Trend MA Length : 50 periods default (no maximum limit)
Signal Display : Both, Long Only, Short Only, or None
Show Signal Text : True/False toggle for entry marker text
Trading Applications
Recommended Use Cases
Momentum Trading : Capitalize on strong directional moves using the color-coded system
Trend Following : Combine MACD signals with trend MA filter for higher probability trades
Scalping : Use "Fast" system type for quick entries in volatile markets
Swing Trading : Use "Normal" or "Safe" system types for longer-term positions
Cryptocurrency Trading : Optimize parameters for individual crypto assets (e.g., 45/80/290 for DOGE, custom settings for SUI, SEI, LINK, SOL)
Market Suitability
Volatile Markets : Forex, crypto, indices (recommend "Fast" system or smoothed parameters)
Stable Markets : Stocks, ETFs (recommend "Normal" or "Safe" system)
All Timeframes : Effective from 1-minute charts to daily charts
Crypto Optimization : Each major cryptocurrency (DOGE, SUI, SEI, LINK, SOL, etc.) can benefit from custom parameter tuning. Consider slower MACD parameters for noise reduction in volatile crypto markets
Alert System
The strategy provides comprehensive alerts for:
Entry Signals : Long and short entry triangle appearances
Exit Signals : Position exit notifications
Color Changes : Individual histogram color alerts
Trend Conditions : Price above/below trend MA alerts
Strategy Parameters
Default Settings
Initial Capital : $1,000
Position Size : 100% of equity
Commission : 0.1%
Slippage : 3 points
Date Range : January 1, 2018 to December 31, 2069
Risk Management (Optional)
Stop Loss : Disabled by default (customizable percentage-based)
Take Profit : Disabled by default (customizable percentage-based)
Short Trades : Disabled by default (can be enabled)
Important Notes and Limitations
Backtesting Considerations
Uses realistic commission (0.1%) and slippage (3 points)
Default position sizing uses 100% equity - adjust based on risk tolerance
Stop-loss and take-profit are disabled by default to show raw strategy performance
Strategy does not use lookahead bias or future data
Risk Warnings
Past performance does not guarantee future results
MACD-based strategies may produce false signals in ranging markets
Consider combining with additional confluences like support/resistance levels
Test thoroughly on demo accounts before live trading
Adjust position sizing based on your risk management requirements
Technical Limitations
Strategy does not work on non-standard chart types (Heikin Ashi, Renko, etc.)
Signals are based on close prices and may not reflect intraday price action
Multiple rapid signals in volatile conditions may result in overtrading
Credits and Attribution
This strategy is based on the original "MACD Liquidity Tracker System" indicator created by TheNeWSystemLqtyTrckr . This strategy version includes significant enhancements:
Complete strategy implementation with entry/exit logic
Addition of the "Crossover" system type
Proper implementation and utilization of the MACD signal line
Enhanced risk management features
Improved parameter flexibility with no artificial maximum limits
Additional alert systems for comprehensive trade management
The original indicator's core color logic and visual system have been preserved while expanding functionality for automated trading applications.
Makki MultiEdge Analyzer Proالوصف العربي:
مؤشر يجمع بين تقاطع المتوسطات المتحركة (EMA)، مؤشر RSI، بولنجر باند، واكتشاف الدايفرجنس لإظهار إشارات بيع وشراء.
يعتمد في الشراء على تقاطع EMA إيجابي، ارتداد RSI، أو دعم بولنجر.
يعرض تحذيرات في حالات التشبع أو الدايفرجنس السلبي.
يقلل تكرار الإشارات في الفريمات الصغيرة.
English Description:
Combines EMA crossovers, RSI behavior, Bollinger Bands, and divergence detection to show buy and sell signals.
Buy conditions include EMA bullish crossover, RSI rebound, or Bollinger Band support.
Shows warnings for overbought RSI or negative divergence.
Limits repeated signals on small timeframes.
TeeLek-HedgingLineXThis indicator is suitable for use with charts that are Down Trend and are about to change to Sideway or Up Trend. It works opposite to another indicator that I created called TeeLek Hedging Line.
Calculation method :
We will use the Highest value of 600 candlesticks in the past to create the average line. After that, we will create the All Time Low line.
How to use :
It is used to tell that this point is the lowest historical High value. This means that this is the point where the best Short buyers start to reach the loss point. At the same time, it is the point where the worst Long buyers start to make a profit. Therefore, it is suitable to be the point of changing from Down Trend to Up Trend.
There are 2 lines that are used to divide the range. If the graph is at the bottom, it will be Down Trend. If the graph is in the middle, it will be Sideway. And if the graph is at the top of both lines, it will be Up Trend.
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อินดิเคเตอร์นี้ เหมาะสำหรับใช้กับกราฟที่เป็น Down Trend และกำลังจะเปลี่ยนเป็น Sideway หรือ Up Trend จะทำงานตรงข้ามกับ อินดิเคเตอร์อีกตัวที่ผมสร้างขึ้นมา ที่ชื่อว่า TeeLek Hedging Line
วิธีการคำนวณ
เราจะใช้ค่า Highest 600 แท่งเทียนย้อนหลัง ในการสร้างเส้นค่าเฉลี่ย หลังจากนั้น ก็จะสร้างเส้น All Time Low ขึ้นมา
วิธีใช้งาน
เอาไว้บอกว่า จุดนี้คือ ค่า High ย้อนหลังที่ต่ำที่สุด หมายความว่า นี่คือจุดที่คนซื้อ Short ที่ดีที่สุดก็เริ่มถึงจุดขาดทุน ขณะเดียวกัน ก็เป็นจุดที่คนที่ซื้อ Long ที่แย่ที่สุด เริ่มกำไร จึงเหมาะจะเป็นจุดเปลี่ยนจาก Down Trend ไปเป็น Up Trend
มี 2 เส้น ก็เอาไว้ใช้แบ่งช่วง ถ้ากราฟอยู่ด้านล่าง จะเป็น Down Trend ถ้ากราฟอยู่ระหว่างกลางก็จะเป็น Sideway และถ้ากราฟอยู่ด้านบนของทั้งสองเส้น ก็จะเป็น Up Trend
Multi Timeframe 50EMA CloudDescription:
The Multi Timeframe 50EMA Cloud is a powerful tool for multi-timeframe trend analysis. This indicator allows you to display the 50-period Exponential Moving Average (EMA) and its volatility "cloud" from several higher timeframes directly on any chart.
Features:
* See the 50EMA cloud from multiple timeframes at once: 15m, 1H, 4H, and 1D.
* Flexible controls: Easily turn each timeframe’s cloud on or off in the settings - overlay as many as you want.
* Distinct colors: Each timeframe has customizable colors for its EMA line, cloud and borders to keep your chart clear and organized.
* Universal perspective: Great for identifying higher timeframe support and resistance, confluence zones and market structure without switching charts.
How it works:
Each enabled EMA cloud is plotted with a band above and below the EMA line, showing ± one-quarter standard deviation (stdev) of price. This "cloud" highlights short-term volatility around the higher timeframe EMA, making it easier to spot dynamic support, resistance and trend strength.
Best for:
* Day traders and swing traders who want to track key EMAs from multiple timeframes on a single chart
* Identifying multi-timeframe confluence, trend direction and volatility zones
Tip:
Try overlaying the 15m, 1H, and 4H EMA clouds on lower timeframe charts (e.g., 1m, 5m, or 15m) for deeper market insight and better trade timing.
⚠️ Important Notice
This tool is provided for educational and informational purposes only . It is designed to assist in technical analysis learning and visual chart study.
It is not intended to be used as financial advice, a buy/sell signal, or any form of investment recommendation .
By using this indicator, you acknowledge that all actions you take are your own and you assume full responsibility for any decisions made.
Kyber Cell's – TTM Squeeze Pro
Kyber Cell's TTM Squeeze Pro is an all-in-one overlay that rebuilds John Carter’s TTM Squeeze, then layers on two extra confirmation tools—ALMA trend and a scroll-aware VWAP—so you can track contraction, momentum, trend and value without stacking indicators.
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What each visual means
• Candles = Momentum histogram
Instead of a separate lower pane, every bar is tinted by a linear-regression slope:
• Rising & above zero → aqua→blue (bullish strength)
• Falling & below zero → yellow→red (bearish strength)
• Dots above the bars = Squeeze status
I’ve modernized Carter’s original black→red→orange→green sequence (it didn't feel natural to me):
• Blue “Cool” – bands wide apart, no compression yet
• Orange “Warming” – loose compression building
• Red “Ready” – tightest compression, watch for release
• Green “GO!” – first bar the squeeze fires (breakout begins)
• I added a Red/Green Backdrop that tracks the squeeze so you can easily identify the entry and exit based on the squeeze momentum. Appears only after a squeeze fires. Stays green while momentum remains > 0, red while it is < 0. Clears when momentum flips or a new squeeze starts.
• ALMA ribbon
A 50-period Arnaud Legoux moving average (user-tunable).
Price and ribbon rising above it → bullish tilt; price under a falling ribbon → bearish tilt.
• VWAP with optional σ bands
Anchored to the left-most visible bar every time you pan/zoom, so it always reflects the range on your screen. Staying above VWAP supports longs; below supports shorts.
• Entry labels
A triangle ▲/▼ or arrow ↑/↓ (your choice) prints on the exact bar a squeeze fires. Color, size and ATR padding are adjustable.
Key inputs you can adjust
• Squeeze length, Bollinger σ, three Keltner multipliers (High/Mid/Low).
• ALMA length, offset (0 = fast, 1 = smooth) and sigma.
• VWAP on/off, deviation-band σ (set to 0 to hide bands).
• Marker shape, size, colours and vertical padding in ATR multiples.
Typical workflow
1. Watch dot color: blue → orange → red.
2. When the dot flips green, momentum bar confirms aqua/blue (bull) or yellow/red (bear).
3. Enter in the direction of the bar color if price is also on the supportive side of ALMA and/or VWAP.
4. Trail until momentum changes side, the backdrop disappears, or your target is hit.
Disclaimer — This script is for educational purposes only and is not financial advice. Test thoroughly and manage risk before live trading.