30-Day Rolling VWAP30-Day Rolling VWAP (30-RVWAP)
Overview:
The 30-Day Rolling VWAP is an advanced technical analysis tool designed for crypto traders that combines Volume Weighted Average Price over a 30-day rolling window with sophisticated volume analysis to generate high-probability trading signals.
Key Features:
1. Dynamic Color-Coded VWAP Line
Green glow = Strong bullish pressure
Red glow = Strong bearish pressure
Gray = Neutral/balanced market
The line changes color based on volume-weighted directional pressure
2. Volume Pressure Zones
Multi-layered glowing fill effect around VWAP
Expands/contracts based on volatility and volume
Shows potential support/resistance zones
3. Smart Alert System
Buy/Sell alerts based on VWAP color change
Cross above/below VWAP alerts
Confidence levels based on pressure strength
How to Use:
1. Color Signals
When VWAP turns green: Consider buying (bullish pressure)
When VWAP turns red: Consider selling (bearish pressure)
Gray color indicates consolidation/neutral market
2. Alert Structure
Buy/Sell alerts include confidence percentage (0-100%)
Higher confidence = stronger directional pressure
Cross alerts notify when price crosses VWAP with distance
3. Volume Pressure Zones
Wider zones = higher volatility/volume
Use zones as dynamic support/resistance levels
Watch for price reactions at zone boundaries
4. Trading Strategy
Enter long when VWAP turns green with high confidence (60%+)
Enter short when VWAP turns red with high confidence
Use VWAP as trailing stop (exit when cross alerts trigger)
Use pressure zones for profit targets
5. Alert Messages
Buy Signal: "BTCUSDT | 15m | BUY Signal | Price: 42380.00 | VWAP: 42350.00 | Distance: 0.07% | Confidence: 78% due to strong bullish pressure"
Cross Alert: "BTCUSDT | 15m | CROSS ABOVE VWAP | Price: 42360.00 | VWAP: 42350.00 | Distance: 0.02%"
Best Practices:
Use higher timeframes (4H+) for trend direction; preferably **daily timeframe**
Combine with other indicators for confirmation
Monitor volume for signal validation
Consider market context when entering trades
The indicator combines multiple volume metrics to filter out false signals and provides clear visual and alert-based trading signals.
Trend Analizi
Engulfing Candle with Streaks and CountIdentifies Engulfing Candles + The Number of Consecutive Signals + Identifies 3rd/4th Consecutive Signals + Keeps Count of Most Recent Number of Signals as Decided by User.
- Have coded in the latest version 6
- This script allows the tracking of engulfing candles over a user defined amount of time (candles).
- The script will signal every engulfing candle and its consecutive corresponding number across the entire chart.
- The Engulfing Count box in the bottom right counts how many bullish and bearish engulfing candles have occurred over the number decided by the user.
- The Engulfing Signal that prints is triggered when an opposite next candle prints and the body is over 100% larger than the previous candle. It does not need to "fully engulf" the previous candle, the coding has an allowance for an "equal to and greater/smaller than" the previous close price. This allows for signals were the open of the engulfing candle can be equal to the close of the previous opposite, however the engulfing still must reach an over 100% sizing of the previous to print a signal.
- Where a piercing candle occurs and the open price is within the body of the previous candle, this will void the equation and no matter how big the candle is, it will not trigger an engulfing signal as I was only looking for true engulfing candles.
- The script keeps count of the same consecutive signals no matter the timeframe.
- It will print the consecutive number above or below the signal (depending if bullish or bearish).
- To assist with trend identification the 3rd consecutive signal will print blue, and the 4th consecutive signal will print yellow (or I prefer to use the term "Gold"). This can help filter out the noise on lower timeframes to assist to see where the momentum is going, or if there are signals going against the trend to try trick traders.
- Back testing I found the 3rd and 4th signals are uncommon on higher timeframes and tend to act as fake-outs before the trend reverses.
- Overall a good tool to add to your trend analysis, either for additional confluence or to assist with reversal identification.
- Colors are set as default, but everything can be changed by the user as I didn't want to limit its possibilities.
*** Please note that this script does not take into any consideration candle wicks. Although it can be used with Heikin Ashi it is somewhat unreliable. This indicator is designed to be used with standard candles only ***
Trend vs Range DetectorMarkets often oscillate between trend phases and range-bound consolidations. Accurately identifying which environment you're in can dramatically improve your strategy's performance — whether you're a breakout trader, trend follower, or mean reversion specialist.
This Pine Script helps do exactly that — with zero clutter, no chart overlays, and a simple, clean table at the top-right corner telling you one thing:
👉 Is the market trending or range-bound?
⚙️ How It Works
The script uses two core metrics to classify the market environment:
1. Slope Sensitivity of Moving Average
A simple moving average (default: 50-period) is used.
The absolute slope of the moving average is calculated.
If the slope exceeds a user-defined sensitivity value, it indicates directional momentum.
2. ATR-to-Price Range Ratio
Measures volatility by comparing Average True Range (ATR) to the total high-low price range over the same period.
A higher ATR relative to the range indicates directional volatility — a trending behavior.
A low ratio signals a choppy or sideways market.
If both conditions are met, the table displays "Trending." If either condition fails, it shows "Range-Bound."
🧠 Why This Matters
Trend Traders: Know when to lean into momentum plays.
Mean Reversion Traders: Avoid whipsaw conditions or capitalize on sideways action.
Volatility Filters: Use this signal to apply different strategies to different market types.
🛠️ User Controls
Moving Average Length: Adjust trend sensitivity by length (default: 50)
Slope Sensitivity: Tune how steep a trend needs to be to qualify
ATR/Range Threshold: Calibrate what defines a volatile enough trend move
Toggle Table On/Off: Keep the chart clean if needed
🧼 Clean Visuals
No lines, no bands, no background colors.
Just a concise table in the top-right corner.
Perfect for scalpers, swing traders, or overlaying on busy strategies.
🔄 Real-Time + Historical
The script dynamically updates with every bar, so it works in real time and shows accurate historical context across any symbol or timeframe.
If you’re someone who wants a minimalist yet powerful insight into market context, this tool can be a game-changer.
John M Oscillator with Zero-Cross Range ScalingThis oscillator tries to measure momentum by comparing the current price to the Heikin Ashi open price, then scales that signal based on how much the price has moved since the last time the signal crossed zero. This makes the strength of the move relative to the recent market activity, which can help identify overbought/oversold zones more adaptively than traditional oscillators.
Helps you spot trend shifts early by watching for zero crossings.
The scaling helps you judge if the trend is weak or strong, instead of just relying on absolute price movement.
Ideal for momentum-based entries/exits, divergence spotting, and avoiding fakeouts.
Components:
1. Heikin Ashi Values:
- Heikin Ashi open is the average of the previous period's open and close.
- Heikin Ashi close is the average of the current period's open, high, low, and close.
2. Basic Oscillator Calculation:
- Calculated by subtracting the Heikin Ashi open from the current close price.
3. Smoothing:
- An EMA is applied to the basic oscillator value for noise reduction.
4. Zero-Cross Range Scaling:
- Identifies the range between the last two zero crossings.
- Finds the largest candle range (High to Low) within this zero-cross range.
- Scales the oscillator as a percentage of this largest range.
5. Color Coding:
- The oscillator plot is green when positive and red when negative.
6. Reference Lines:
- Horizontal lines are drawn at -100, -80, -70, -50, 0, 50, 70, 80, and 100 for reference.
Use Case:
This oscillator helps traders identify trends and momentum with a percentage scale based on recent price action. The scaling provides a view of the oscillator's strength relative to the most significant price movement since the last trend change, making it easier to identify potential reversals or trend continuations
Note: the script is set to default time frame of 6hr. Personally, i use the 1 hr time frame. play with it to find what works for your style of trading.
Radial Root AngleDescription:
Radial Root Angle is a precision geometric tool that calculates the angular trajectory of any price leg using a square-rooted price compression model. By selecting two anchor points on a move (typically swing low to swing high or vice versa), the tool computes the true angle of the leg in degrees.
Important Notes:
On low-priced assets or instruments with tight price ranges, the output angle may appear very small, with multiple decimal places.
This is a natural result of square-rooted price compression applied over time, especially when volatility is low.
In such cases, you may choose to round, scale, or interpret the angle proportionally when comparing across other legs or instruments.
Use Cases:
Identify price compression, trend exhaustion, or swing energy
Compare angular velocity across legs, assets, or timeframes
Integrate with Gann tools, harmonic cycles, or radial timing models
Build square-outs, circular projections, or geometry-based entries
Ideal For:
Traders exploring:
Gann angles and time/price geometry
Square root and harmonic market models
Sacred or astro-geometric analysis
Energetic mapping of price structure
((Range||Type||Swing))Consecutive Candle range boxes with gradient and number count. Inside Outside and Engulfing color bars plus plots. Strict swing filter plus bonus filter where the 3rd bar in the swing closes below the swing candles high or low respectfully.
How I Use
I use the candle stick patterns to gauge market conditions, the consecutive candle ranges to follow order flow using a closing break of the range and retest and the filtered swings to assist in identifying stronger. If any one wants to create a strategy around this that would be cool i know nothing of coding and do everything with A.I
turns
5ma + O’Neil & Minervini Buy ConditionIndicator Overview
5ma + O’Neil & Minervini Buy Condition is an original TradingView indicator that extends beyond a simple collection of standard moving averages by offering:
- Five Fully Independent Lines : Each of MA1–MA5 can be configured as SMA, EMA, WMA, or VWMA with its own period and data source. This level of customization unlocks unique combinations no existing script provides.
- Synergy of Multiple Timeframes : Default settings (10, 21, 50, 200, 325) reflect ultra‑short, short, medium, long, and volume‑weighted long‑term perspectives. The layered structure functions as a multi‑filter, sharpening entry signals and trend confirmation beyond any single MA.
- Integrated Buy Conditions : Built‑in O’Neil and Minervini buy filters use fixed SMA‑based rules (50 & 200 SMA rising within 15% of 52‑week high; 10 > 21 > 50 SMA rising within high/low thresholds), plus a combined condition highlighting when both methods align.
- Clean Visualization & Style Controls : Background coloring for each buy condition appears only in the Style tab under clearly named parameters (O’Neil Buy Condition, Minervini Buy Condition, Both Conditions). MA lines support transparent default colors and customizable line width for optimal readability without clutter.
Calculation & Logic
SMA: (P₁ + P₂ + … + Pₙ) ÷ N
EMA: α = 2 ÷ (N + 1)
EMA_today = (Price_today – EMA_yesterday) × α + EMA_yesterday
WMA: (P₁×N + P₂×(N–1) + … + Pₙ×1) ÷
VWMA: Σ(Pᵢ×Vᵢ) ÷ Σ(Vᵢ) for i = 1…N
```
Buy Condition Logic
- O’Neil: Price > 50 SMA & 200 SMA (both rising) **and** within 15% of the 52‑week high.
- Minervini : 10 SMA > 21 SMA > 50 SMA (both short‑term SMAs rising) **and** within 25% of the 52‑week high **and** at least 25% above the 52‑week low.
- Combined : Both O’Neil and Minervini conditions true.
Usage Examples
1. Short‑Mid Cross : Observe MA1/MA2 crossover while MA3/MA4 confirm trend strength.
2. Volume‑Weighted Long‑Term : Use VWMA as MA5 to filter institutional‑strength pullbacks.
3. Multi‑Filter Entry : Look for purple background (Both Conditions) on daily chart as high‑confidence entry.
Why It’s Unique
- Not a Mash‑Up : Though built on standard MA formulas, the customizable layering and built‑in buy filters create a novel multi‑dimensional analysis tool.
- Trader‑Friendly : Detailed comments in the code explain parameter choices, calculation methods, and practical entry scenarios so that even Pine novices can understand the underlying mechanics.
- Publication‑Ready : Description and code demonstrate originality, add clear value, and comply with house‑rule requirements by explaining why and how components interact, not just listing features.
- Combined Custom MA & Buy Conditions : By integrating customizable moving averages with built-in buy filters, users can easily recognize O’Neil and Minervini recommended setups.
VWAP SlicesVWAP Slices is a time-based analytical tool that helps traders evaluate market behavior across custom-defined periods. Instead of looking at VWAP, RSI, or MFI in isolation, this script allows users to select up to three specific time windows — for example, earnings weeks, Fed meetings, or major news cycles — and analyze how price interacted with volume, momentum, and money flow within each of those slices.
For each active period, the script calculates:
VWAP, based on HLC3 × Volume, giving a volume-weighted price anchor
Total traded volume
Number of bars (candles) in the period
RSI, computed using a custom-built relative strength algorithm from closing prices
MFI, calculated from HLC3 and volume to assess money flow direction and strength
These statistics are not simply shown independently — they are designed to be viewed in context with each other. For instance:
VWAP levels help identify fair value and possible accumulation/distribution zones within a time range.
RSI shows internal momentum strength, while MFI adds a volume-sensitive confirmation.
Comparing multiple periods side-by-side allows traders to see shifts in trend behavior and volume dynamics over time.
The script offers two visualization styles:
Labels placed on-chart near price, summarizing each period
A combined table showing all periods together for comparative analysis
Users can define:
Start and end dates of each period
Background color and visibility per period
Whether to display labels, a summary table, or both
It also computes aggregate metrics, including:
A volume-weighted combined VWAP across all selected periods
Average RSI and MFI, giving a broader sense of directional bias and money flow health
This tool is especially useful for:
Assessing how price and volume behaved around specific market events
Comparing accumulation vs distribution across different timeframes
Supporting thesis-driven trading by segmenting history into actionable chunks
This is not a mashup, but a purposeful framework for slicing market history into analytical blocks — combining price anchors with volume and momentum indicators to help traders better interpret price structure and trend context.
Anilk_3X_Trend_Pulse🧠 What is it trying to do?
It shows whether the price of a stock (or crypto, etc.) is bullish, bearish, or neutral based on how prices are moving over different time periods.
Based on this, it gives a strength score:
+100 means strong bullish momentum (upward)
-100 means strong bearish momentum (downward)
0 means no clear direction (Neutral)
🎨 What does it show on the chart?
It draws 3 colored lines (Blue, Green, Red) below your price chart (in a separate panel):
Blue = Short-term strength
Green = Medium-term strength
Red = Long-term strength
You also see 3 reference lines:
+100 = Bullish line
0 = Neutral line
-100 = Bearish line
🧰 Why is this useful for a trader?
It helps you visually judge momentum across different timeframes.
You can see if all timeframes are pointing in the same direction, which can signal a strong trend.
Great for deciding:
Whether to enter a trade
Whether to stay in or exit
Whether the market is confused or trending clearly
📌 In simple terms:
"This script acts like a trend strength meter across short, medium, and long periods — helping traders see if the market is going up, down, or just stuck."
Would you like a visual example or want this added to your TradingView chart?
// Disclaimer: Please backtest this indicator across different timeframes before using it for live trading to ensure it performs as expected.
Auto Step Horizontal LinesAuto Step Horizontal lines by custom range
Create automatic horizontal lines by specifying the price range for each line, with each line serving as an observation point for support and resistance levels.
Adaptive Support & Resistance Levels [StabTrading]The Adaptive S&R Levels indicator is designed to study support and resistance levels by synthesizing multiple well-known techniques for identifying these zones. It aims to provide traders with reliable price levels that reflect the collective perspective of market participants, using historical price action and projective techniques for extreme conditions.
💡 Introduction: Identified Problem
Traders often draw support and resistance lines using varied methods, leading to inconsistencies in where these levels are placed on charts. This variability can reduce the effectiveness of individual levels, as price may not react strongly to zones that lack broad recognition. The Adaptive S&R Levels indicator addresses this by aggressively averaging multiple established techniques to create support and resistance lines that align with what most traders are likely to identify, increasing the probability of price reactions.
🚀 How it Works: Overview
The indicator employs a multi-technique algorithm to generate support and resistance levels, ensuring they represent a consensus of trader perspectives.
🚀 How it Works: Chart Levels Display and Styling
Support levels, displayed in green below the current price, and resistance levels, shown in red above the price, are plotted clearly on the chart. Levels are numbered sequentially (e.g., v1, v2) as they move further from the current price, providing a visual hierarchy of proximity. Extreme levels, labeled as "Extreme Support" or "Extreme Resistance," are plotted in a bolder color to distinguish them as the outermost boundaries, maintaining the same green (support) and red (resistance) color scheme for consistency.
🚀 How it Works: Historical Price Action Algorithm
For areas with available historical data, the algorithm analyzes price action using a variety of recognized methods for drawing support and resistance, such as pivot points, swing highs/lows, and volume-based zones. It calculates a weighted average of these techniques to produce a “regression fit” line that reflects the accumulation of levels traders might draw. By prioritizing areas where multiple methods converge, the indicator identifies zones likely to be significant to a wide audience, enhancing their relevance.
🚀 How it Works: Projective Techniques Algorithm
In scenarios without recent historical price action—such as all-time highs or lows—the indicator employs an alternative algorithm that combines projective techniques commonly used by traders. These include Fibonacci extensions, Measured Moves (price projections), Psychological Milestones (e.g., round numbers), Channel/Trendline Extrapolation, and Time-Based Targets (inspired by methods like Gann techniques). The algorithm seeks a confluence of these methods to draw support and resistance levels that align with what most traders would consider significant in such conditions. These levels maintain the same green (support) and red (resistance) color scheme, with numbering based on their distance from the price.
🚀 How it Works: Noise Parameter Adjustment
Users can adjust a noise parameter to control the number of displayed levels. Lower settings show more lines, reflecting a broader range of potential zones but with less confluence. Higher settings increase the required confluence of techniques, resulting in fewer lines that have a higher probability of eliciting a price reaction. This customization allows traders to tailor the indicator to their preferred timeframe or trading style.
🔥 Features
Confluence-Based Levels: Support and resistance lines are derived from a weighted average of multiple techniques, aiming to mirror the levels most traders would recognize.
Extreme Levels: Generates support and resistance in areas without historical price action, using techniques like Fibonacci extensions and Measured Moves.
Color-Coded Display: Green support levels appear below the current price, and red resistance levels appear above, with extreme levels in a bolder shade for distinction.
Adjustable Noise Parameter: Users can modify the confluence threshold to display more lines (lower settings) or fewer, higher-probability lines (higher settings).
📈 Implementing the System
1. Adjust Settings
Set the noise parameter based on your trading style (0.1 to 10).
Use lower values for more frequent levels, suitable for scalping or short-term analysis.
Use higher values for fewer, higher-confluence levels, ideal for swing trading or longer-term strategies.
Adjust for your timeframe: Settings tend to be lower on shorter timeframes and higher on longer timeframes.
2. Identify Levels
Monitor green support levels below the price for potential buying zones, noting their numbered proximity (v1, v2, etc.).
Observe red resistance levels above the price for potential selling or shorting zones, noting their numbered proximity.
Note extreme levels (labeled "Extreme Support" or "Extreme Resistance") in areas like all-time highs, which may act as key reversal points.
3. Evaluate Price Reactions
Track how price interacts with the plotted levels to assess their effectiveness, considering their proximity to price.
Observe performance in bullish, bearish, or ranging markets to understand the indicator’s behavior at different levels.
Test different noise parameter settings across various assets and timeframes to find the optimal balance for your approach.
4. Layering Trades with Levels
Use the numbered levels to layer into a trade: for example, enter a partial position at a closer support level (e.g., v1) and add to it at a further level (e.g., v2) if price continues to decline, spreading risk across multiple zones.
Layer out of a trade by taking partial profits at each resistance level as price rises (e.g., reduce position at v1, then v2), or fully exit at an "Extreme Resistance" level to maximize gains while managing exposure.
🔶 Conclusion
The Adaptive S&R Levels indicator provides a framework for studying support and resistance by averaging multiple trader-recognized techniques. With its ability to handle both historical and extreme price scenarios, numbered levels for visual hierarchy, and customizable noise settings, it offers a versatile tool for analyzing key price levels. Designed for educational use, it encourages traders to test and observe how these consensus-driven levels align with market behavior within broader analysis.
market relative strengthOverview
market relative strength is a custom indicator that visualizes how strong or weak a given asset is compared to a selected market benchmark — such as KOSPI, NASDAQ100, BTC dominance, or total crypto market cap.
How It Works
The indicator calculates the relative return between the current asset and the selected benchmark over a user-defined period. It then normalizes the difference into a 0–100 score:
Above 50 = outperforming the market
Below 50 = underperforming the market
Above 70 / Below 30 = strong divergence from market trend
Use Case
This is ideal for identifying assets with strong relative performance, detecting trend leaders or laggards, and rotating positions between sectors or assets based on strength.
Customization
Choose from a list of market indexes or crypto metrics
Set the comparison period and normalization range
Visual cues with background shading for strong/weak zones
Note
This is not the same as RSI. This indicator is based on relative performance to a benchmark, not price momentum.
Fibonacci Levels with MACD ConfirmationHow to Understand and Use the Fibonacci Levels with MACD Confirmation Script
This custom Pine Script is designed to give traders a clear visual framework by combining dynamic Fibonacci retracement levels, MACD histogram confirmation, and volatility-based swing zones. It aims to simplify trend analysis, improve entry timing, and adapt to various market conditions.
How to Interpret the 23.6% & 61.8% Labels
These Fibonacci levels represent key retracement zones where price often reacts during trend pullbacks or reversals.
The 23.6% level indicates a shallow retracement, useful in strong trends where price resumes early.
The 61.8% level is a deeper retracement, often a "last line of defense" before trend invalidation.
The script labels these zones with "CC 23.6" and "CC 61.8" when the price crosses them with MACD histogram confirmation:
Green label (CC) = bullish confirmation
Red label (CC) = bearish confirmation
How to Modify Inputs (Manual Adjustments)
Input Purpose Default How to Use
ATR Period Measures volatility 14 Increase for smoother, slower reactions; reduce for faster swings
Min Lookback Minimum bars for swing zone 20 Avoids short-term noise
Max Lookback Cap for swing zone scan 100 Avoids excessively wide retracement levels
Inverse Candle Chart Flips high/low logic false Enable for inverted analysis or backtesting "opposite logic"
How to Use the Inverse Candle Chart Option
Activating inverse mode flips candle logic:
Highs become negative lows, and vice versa.
Useful for:
Contrarian analysis
Inverse ETFs or short-biased views
Backtesting reverse-pattern behavior
How to Adjust the Style
You can manually personalize the script’s visual appearance:
Change line width in plot(..., linewidth=2) for bolder or thinner Fib levels.
Change colors from color.green, color.red, etc., to suit your theme.
Modify label.size, label.style, and label.color for different labeling visuals.
Customize MACD histogram style from plot.style_columns to other styles like style_histogram.
How the MACD is Set and Displayed
The MACD uses non-standard values:
Fast Length = 24
Slow Length = 52
Signal Smoothing = 18
These values slow down the indicator, reducing noise and aligning better with medium- to long-term trends.
MACD histogram is plotted directly on the main chart for faster, on-screen decision making.
Color-coded histogram:
Green/Lime = Bullish momentum increasing or steady
Red/Maroon = Bearish momentum increasing or steady
How to Use the Indicator in Real-World Trading
This indicator is most effective when used to:
✅ 1. Spot High-Probability Trend Continuation Zones
In a strong trend, price will often retrace to 23.6% or 61.8%, then resume.
Wait for:
Price to cross 23.6 or 61.8
MACD histogram rising (bullish) or falling (bearish)
"CC 23.6" or "CC 61.8" label to appear
🟢 Entry Example: Price retraces to Fib 61.8%, crosses up with green MACD histogram → take long position
✅ 2. Validate Reversal or Breakout Zones
These Fib levels also act as support/resistance.
If price crosses a Fib level but MACD fails to confirm, it may be a fake breakout.
Use confirmation labels only when MACD aligns.
✅ 3. Add Volatility Context (ATR) for Risk Management
The ATR label shows both value and %.
Use ATR to:
Set dynamic stop-losses (e.g., 1.5x ATR below entry)
Decide trade size based on volatility
How to Combine the Indicator With Other Tools
You can combine this script with other technical tools for a powerful trading framework:
🔁 With Moving Averages
Use 50/200 MA for overall trend direction
Take signals only in the direction of MA slope
🔄 With Price Action Patterns
Use the Fib/MACD signals at confluence points:
Support/resistance zones
Breakout retests
Candlestick patterns (pin bars, engulfing)
🔺 With Volume or Order Flow
Combine with volume spikes or order book signals
Confirm that Fib/MACD signals align with strong volume for conviction
✅ Trade Setup Summary
Criteria Long Setup Short Setup
Price at Fib Level At or crossing Fib 23.6 / 61.8 Same
MACD Histogram Rising and above previous bar Falling and below previous bar
Label Appears Green "CC 23.6" or "CC 61.8" Red "CC 23.6" or "CC 61.8"
Optional Filters Trend direction, ATR range, volume, price pattern Same
Teddy LiteOverview
"Teddy" overlays key price levels—Daily Open (DO), Average Daily Range (ADR), and ADR Extensions (ADE)—on intraday charts. Designed for traders, it provides a clear framework to align with market ranges, avoid choppy price action, and stay out of overbought/oversold conditions, enhancing decision-making in dynamic markets.
Originality and Usefulness
"Teddy" uniquely combines DO, ADR High/Low, and ADE High/Low with dynamic percentage labels, while offering a concise view of price boundaries for daily Highs and Lows.
What It Does
Plots DO, ADR High/Low, and ADE High/Low as levels on the chart.
Labels each level with percentage distances from the current price (e.g., "ADRH (2.34%)").
Customizes visuals for clarity (colors, line styles, label sizes).
How It Works
Data Sources: Retrieves daily open and historical high/low data to compute ranges.
Calculations:
Daily Open (DO): Marks the session’s opening price.
ADR: Estimates typical daily range from past data, centered on DO to set High/Low bounds.
ADE: Extends ADR by a fixed percentage for outer limits.
Visualization: Updates lines and labels live, with user-defined colors, styles, and sizes.
How It Helps Traders
"Teddy" guides traders to avoid chasing markets in extended conditions:
Respecting the range: ADR High/Low define range-friendly zones—price above DO nearing ADR High signals bullish momentum is peaking, while below DO near ADR Low supports bearish momentum peaking.
Avoiding Choppy Conditions: Price lingering near DO often indicates indecision; "Teddy" highlights this level, helping you define balanced market conditions that favor choppy conditions.
Steering Clear of Overbought/Oversold: ADE High/Low mark extended levels where reversals are extremely—price hitting ADE Highlights the trend strength on the day but warns price is extremely over extended.
This structured approach keeps trades aligned with the markets average range, so traders can avoid extremes favorable levels for choppiness.
How to Use It
Apply to an intraday chart (e.g., SPY 5m).
Customize via inputs:
"Appearance Settings": Colors, line styles (Solid, Dotted, Dashed), widths (1-6), label visibility, and sizes (Tiny to Huge).
Watch levels: Consider reducing risk as the market approaches our ADRH/L levels. Trades can also play breakouts/failed breakouts at ADR High/Low or at ADE High/Low. Additionally remaining patient while the auction remains in balance near Day Open is an option as well.
Underlying Concepts
Range Dynamics: ADR reflects average daily volatility, DO anchors context, and ADE flags extensions.
Price Action: Levels highlight Volatility/Range (ADR) versus consolidation (DO) or expansive exhaustion (ADE).
Limitations
Optimized for day traders during live sessions; less effective in low-volatility periods.
Requires sufficient historical data for accurate ADR/ADE.
Levels are contextual and where I expect reactive price action to occur.. They are not guaranteed signals.
EMA Oscillating Trend📈 EMA Oscillating Trend by AI-123
The EMA Oscillating Trend indicator is a dynamic trend visualizer that enhances traditional EMA behavior by offsetting the line based on trend direction, providing a more intuitive and visually distinct representation of market momentum.
🔍 Key Features:
🔵 Bullish Color Customization – Define your preferred color for bullish trends
🔴 Bearish Color Customization – Set a different tone for bearish phases
🪄 Adjustable Line Thickness – Tailor the EMA's appearance to your chart style
📐 Offset Multiplier Input – Automatically pushes the EMA above price in a downtrend and below price in an uptrend for enhanced clarity
⚙️ User-Friendly Inputs – No coding knowledge required; full customization in the settings panel
🧠 How It Works:
Calculates a primary EMA line (OV) and a sub-component to compare against (OV2)
Determines the trend based on whether OV is above or below OV2
Shifts the EMA line above price during bearish trends and below price during bullish trends
The offset is percentage-based and scales dynamically with the price for optimal readability
✅ Ideal For:
Trend-followers seeking visual clarity
Discretionary traders who want less clutter and more signal
Anyone who likes their EMAs with a little more flair and insight
🛠️ Author: @alphainvestor123
This tool was crafted with simplicity and clarity in mind. If you enjoy the indicator, consider dropping feedback or sharing your use case!
London ORB + Session High/Low + FVGLondon ORB + Session High/Low + FVG
📘 Script Description: London ORB + Session High/Low + Fair Value Gap
This script is designed to assist intraday traders during the London session open by combining:
🕒 1. Opening Range Breakout (ORB)
Captures the high and low of the first 15-minute candle after the London open (08:00–08:15 GMT).
Draws lines and labels for the ORB High and Low levels.
Detects breakouts above or below the ORB and plots a triangle signal at the breakout bar.
🌐 2. Asian & US Session Levels
Automatically marks the highs and lows of the Asian (00:00–06:00 GMT) and US (13:30–20:00 GMT) sessions.
Useful for identifying prior session liquidity zones, key support/resistance levels, and potential reaction areas.
📉 3. Fair Value Gaps (FVG)
Highlights imbalances in price action between non-overlapping candles (also known as FVGs or inefficiencies).
Draws a shaded box between candles where gaps exist:
Green for bullish FVGs
Red for bearish FVGs
🔔 4. Alert Support
Optional alerts are built in for:
Long breakout (price breaks above ORB)
Short breakout (price breaks below ORB)
🎯 Use Case
Perfect for:
Day traders looking to capitalize on early volatility at the London open
Traders using liquidity-based strategies, retests, or gap-fills
Visualizing and aligning with prior session highs/lows for structure and context
Volume NodesVolume Nodes Indicator:
What This Indicator Does:
The Volume Nodes indicator identifies and visualizes statistically significant volume events on your chart, helping you identify important price levels where substantial trading activity has occurred. Unlike standard volume indicators, Volume Nodes:
Uses statistical analysis (z-scores) to identify truly abnormal volume bars
Calculates accurate buy/sell volume ratios by analyzing all lower timeframe data
Identifies the Volume Point of Control (VPOC) for high volume areas
Visualizes significant volume ranges as they extend across the chart
Tracks when price interacts with these important levels
Key Features:
High Volume Detection: Highlights bars with unusually high volume (z-score above threshold)
Low Volume Detection: Highlights bars with unusually low volume (z-score below threshold)
VPOC Lines: Horizontal lines showing the exact price level with maximum volume concentration
Volume Range Fills: Shaded areas showing the entire price range with significant volume
Accurate Volume Metrics: Shows true buy/sell volume ratios or delta percentages derived from lower timeframe data
How to Use It in Your Trading: **Move to front in the visual order on chart**
Step 1: Identify Important Volume Zones
High Volume Bars (green/red candles) indicate where significant buying or selling has occurred
VPOC Lines extending from these bars show you the exact price level with highest volume
Range Fills show you the entire zone where significant volume occurred
Step 2: Use These Levels for Trading Decisions
Support/Resistance: VPOC lines often act as support or resistance levels
Breakout Validation: Breakouts on high volume are more likely to be valid
Low Volume Warning: Low volume bars (yellow) often indicate indecision or potential reversals
Trading with Volume Flow: Use the buy/sell ratio or delta % to confirm the strength and direction of moves
Step 3: Monitor Price Interaction with Volume Zones
When price approaches a VPOC line, watch for reaction (bounce or breakout)
When price enters a volume range area, increased volatility often follows
When price crosses a VPOC line, the line changes transparency indicating it's been tested
Tips for Optimal Use
Higher Timeframes: The indicator works exceptionally well on higher timeframes (4H, daily, weekly) where volume patterns are more significant
Range Trading: Use volume nodes to identify the boundaries of trading ranges
Combine with Price Action: Look for price action confirmation (rejections, engulfing patterns) at VPOC levels
Multiple Timeframe Analysis: Compare volume nodes across different timeframes to find confluent levels
Alert Setup: Set up alerts for when price enters important volume zones or crosses VPOC lines
Reversal Signals: High volume bars with significant wicks often signal exhaustion points where smart money is transferring positions. Bullish candles with long upper wicks suggest sellers absorbing buying pressure at highs, while bearish candles with long lower wicks indicate buyers stepping in at lows - both potentially signaling momentum shifts that precede reversals.
The indicator is particularly valuable for identifying levels where large players have been active in the market and are likely to defend or act again in the future.
Nasan Market Phase ClassifierThe Nasan Market Phase Classifier indicator designed to classify market phases using volume, volatility (or momentum), and statistical analysis. Here's a summary of how it works and what it does:
🔍 Core Concept
This indicator classifies the market into four phases based on volume and ATR (or optionally momentum):
High Volume / High ATR or Momentum (HV/HATR): Strong Trend
Low Volume / High ATR or Momentum (LV/HATR): False Breakout / Exhaustion
High Volume / Low ATR or Momentum (HV/LATR): Consolidation
Low Volume / Low ATR or Momentum (LV/LATR): Stagnation
⚙️ Key Settings
Short-Term Length: Used for the active market phase.
Long-Term Length: Used as the expected/benchmark distribution.
Use Momentum: Replaces volatility (ATR) with momentum (custom ROC-based formula).
Use Fixed Alpha: Toggles adaptive vs. fixed weighting in scoring (this is based on variation of the volatility - standard deviation of true range).
📊 How It Works
Volatility or Momentum Scoring:
Uses ATR-based or Momentum-based score depending on the setting.
Applies weighing (alpha) which is based on variability of the volatility itself.
Market Phase Count:
Measures how often each of the 4 volume/volatility combinations occur in:
Short-term window (observed phase)
Long-term window (expected distribution)
Category Proportions:
Calculates percentage share of each category (e.g., % time in HV/HATR).
Plots these on chart to visually see market phase dominance (can be used for screening of pine screener).
Statistical Testing:
IQV (Index of Qualitative Variation): Measures phase diversity (0 = focused, 1 = mixed).
Chi-Squared Test: Compares current vs. historical phase distribution.
Z-Test: Tests if current phase dominance is statistically significant.
📋 Outputs
On-Chart Plots and Tabels:
Strong Trend, False Breakout/Exhaustion, Consolidation, Stagnation
Strength Quality Plot: Trend strength normalized by IQV.
Dynamic Table (Top Right):
Shows each phase’s proportion (the current phase cell is highlighted in yellow), IQV, Chi² value, and current dominant phase. The current candle classification (text) is in purple.
Highlights the dominant phase classification and color-codes significance (the cell highlighted in green highly confident about the classification, orange intermediate confidence and red low confidence). This color coding is not just based on statistical significance it is based on IQV which takes into account how spread the proportions are.
🧠 Interpretation
A dominant HV/HATR phase with low IQV and high Z-Score indicates a strong and statistically significant trend.
High IQV suggests uncertainty or mixed market behavior.
Chi² spike indicates a shift from historical behavior can be used to see is the market behavior changing by changing the long term length say to 252 and short term length to 21 this will tell if the short term behavior is different from the past 252 day behavior.
[blackcat] L3 Trendmaster XOVERVIEW
The L3 Trendmaster X is an advanced trend-following indicator meticulously crafted to assist traders in identifying and capitalizing on market trends. This sophisticated tool integrates multiple technical factors, including Average True Range (ATR), volume dynamics, and price spreads, to deliver precise buy and sell signals. By plotting dynamic trend bands directly onto the chart, it offers a comprehensive visualization of potential trend directions, enabling traders to make informed decisions swiftly and confidently 📊↗️.
FEATURES
Customizable Input Parameters: Tailor the indicator to match your specific trading needs with adjustable settings:
Trendmaster X Multiplier: Controls the sensitivity of the ATR-based levels.
Trendmaster X Period: Defines the period over which the ATR is calculated.
Window Length: Specifies the length of the moving window for standard deviation calculations.
Volume Averaging Length: Determines how many periods are considered for averaging volume.
Volatility Factor: Adjusts the impact of volatility on the trend bands.
Core Technical Metrics:
Dynamic Range: Measures the range between high and low prices within each bar.
Candle Body Size: Evaluates the difference between open and close prices.
Volume Average: Assesses the cumulative On-Balance Volume relative to the dynamic range.
Price Spread: Computes the standard deviation of the price ranges over a specified window.
Volatility Factor: Incorporates volatility into the calculation of trend bands.
Advanced Trend Bands Calculation:
Upper Level: Represents potential resistance levels derived from the ATR multiplier.
Lower Level: Indicates possible support levels using the same ATR multiplier.
High Band and Low Band: Dynamically adjust to reflect current trend directions, offering a clear view of market sentiment.
Visual Representation:
Plots distinct green and red trend lines representing bullish and bearish trends respectively.
Fills the area between these trend lines and the middle line for enhanced visibility.
Displays clear buy ('B') and sell ('S') labels on the chart for immediate recognition of trading opportunities 🏷️.
Alert System:
Generates real-time alerts when buy or sell conditions are triggered, ensuring timely action.
Allows customization of alert messages and frequencies to align with individual trading strategies 🔔.
HOW TO USE
Adding the Indicator:
Open your TradingView platform and navigate to the "Indicators" section.
Search for " L3 Trendmaster X" and add it to your chart.
Adjusting Settings:
Fine-tune the input parameters according to your preferences and trading style.
For example, increase the Trendmaster X Multiplier for higher sensitivity during volatile markets.
Decrease the Window Length for shorter-term trend analysis.
Monitoring Trends:
Observe the plotted trend bands and labels on the chart.
Look for buy ('B') labels at potential support levels and sell ('S') labels at resistance levels.
Setting Up Alerts:
Configure alerts based on the generated buy and sell signals.
Choose notification methods (e.g., email, SMS) and set alert frequencies to stay updated without constant monitoring 📲.
Combining with Other Tools:
Integrate the Trendmaster X with other technical indicators like Moving Averages or RSI for confirmation.
Utilize fundamental analysis alongside the indicator for a holistic approach to trading.
Backtesting and Optimization:
Conduct thorough backtests on historical data to evaluate performance.
Optimize parameters based on backtest results to enhance accuracy and reliability.
Real-Time Application:
Apply the optimized settings to live charts and monitor real-time signals.
Execute trades based on confirmed signals while considering risk management principles.
LIMITATIONS
Market Conditions: The indicator might produce false signals in highly volatile or sideways-trending markets due to increased noise and lack of clear direction 🌪️.
Complementary Analysis: Traders should use this indicator in conjunction with other analytical tools to validate signals and reduce the likelihood of false positives.
Asset-Specific Performance: Effectiveness can vary across different assets and timeframes; therefore, testing on diverse instruments is recommended.
NOTES
Data Requirements: Ensure adequate historical data availability for accurate calculations and reliable signal generation.
Demo Testing: Thoroughly test the indicator on demo accounts before deploying it in live trading environments to understand its behavior under various market scenarios.
Parameter Customization: Regularly review and adjust parameters based on evolving market conditions and personal trading objectives.
Compare Strength with SLOPE Description
This indicator compares the relative strength between the current asset and a benchmark (e.g., BTC vs. ETH or AAPL vs. SPY) using a linear regression slope of their ratio over time.
The ratio is calculated as: close / benchmark
A linear regression slope is computed over a user-defined window
The slope represents trend strength: if it’s rising, the current asset is outperforming the benchmark
Plots
Gray Line: The raw ratio between the asset and benchmark
Orange Line: The slope of the ratio (shows momentum)
Background Color :
Green: The asset is significantly stronger than the benchmark
Red: The asset is significantly weaker than the benchmark
No color: No clear trend
Settings
Slope Window Length: Number of candles used in the regression (default = 10)
Slope Threshold: Sensitivity of trend detection. Smaller values detect weaker trends.
Example Use Cases
Style Rotation Strategy: Use the slope to determine whether "Growth" or "Value" style is leading.
Pair Trading / Relative Performance: Track which asset is leading in a pair (e.g., BTC vs ETH).
Factor Timing: Serve as a timing model to allocate between different sectors or factors.
Happy trading!
SPY Trend-Based Buy Signals🔹 Overview
This indicator identifies potential buy signals on any asset by combining MACD and Stochastic Oscillator crossovers, while using the SPY’s trend (via exponential moving averages) as a broader market filter.
It helps traders stay aligned with macro momentum and avoid counter-trend entries.
🔍 How it works
SPY Trend Filter (Daily Timeframe):
Pulls SPY (S&P 500 ETF) data using EMAs (5, 20, 80)
Categorizes SPY market trend with color codes:
🟢 Green: Strong uptrend (EMA5 > EMA20 > EMA80)
🟡 Yellow: Potential uptrend / early momentum (EMA5 < EMA20 > EMA80)
🔴 Red: Downtrend (EMA5 < EMA20 < EMA80)
🔵 Blue: Possible trend reversal or mixed trend (EMA5 > EMA20 < EMA80)
Buy Signal Conditions (Combined Logic):
A signal is only triggered when:
- SPY trend is either yellow or blue (indicating a neutral-to-bullish or early recovery environment)
-The Stochastic Oscillator's %D line is below 50, showing possible upside
- A bullish MACD crossover occurs on the current symbol
🟢 Green signal: MACD crossover occurs below 0 (early reversal)
🟠 Orange signal: MACD crossover occurs above 0 (momentum continuation)
📈 Visual Output
🟢 Green label below the bar when an early reversal setup occurs
🟠 Orange label above the bar when a trend continuation signal appears
✅ Best Use Case
Ideal for:
Swing traders and position traders
LEAPS (long-term options) traders aligning entries with SPY trend
Anyone seeking clean, contextual entries filtered by market momentum
⚠️ Note: This indicator is most effective when used on fundamentally strong stocks that are sector leaders with solid earnings growth and market presence. Use technical signals as a complement to quality fundamentals.
ℹ️ Clarification: The moving averages displayed on the chart (e.g., on QQQ) are for visual reference only, to help users understand the color logic of the SPY trend filter. The actual logic and signals are based on SPY’s moving averages, regardless of the charted symbol.
BotBeans Optimizer - MA CrosserBotBeans Optimizer - MA Crosser
This script allows you to:
1. Select up to 12 types of Moving Averages (MA)
2. Backtest 7 combinations of MA crossover strategy at a time with key metrics such as Net Profit%, Profit Factor, Win Rate%, Total Trades and Maximum Drowdown (Max DD)
3. Easy to define slow MA length by using SlowMultiplier. Slow MA length is calculated by fast MA length multiplied by SlowMultipleir.
4. Ability to plot MA lines, trading signals, slop loss and take profit levels for clarification
5. Risk Management is implemented. By default, risk only 2% for each trade.
6. The script uses 14 Average True Range (ATR) multiplied by ATRMultiplier to determine stop loss level
7. Take profit level is calculated by stop loss level multiplied by RiskRewardRatio.
8. Implemented with trading fee for more accurate backtest result
LinReg Heikin Ashi CandlesLinear Regression Heikin Ashi Candles will dramatically change how the candlesticks on your chart will appear. This script creates Heikin Ashi candles from the existing candlesticks and then applies wickless Linear Regression candles as an overlay. The result is an ultra smoothed 'Renko-like' chart that remains time-based and responsive.
Key Features:
Heikin Ashi Base: Provides a smoother representation of price trends by filtering out noise.
Linear Regression Candles on Heikin Ashi: Plots Linear Regression lines as candles on the Heikin Ashi chart, potentially highlighting the immediate trend direction and momentum within the smoothed data. Wicks are intentionally removed for a clearer focus on the linear progression.
Tillson T3 Moving Averages: Includes fast and slow T3 Moving Averages with customizable length and alpha. These smoothed moving averages can help identify trend direction and potential crossover signals. Users can toggle their visibility.
Volatility Bands: Integrates Volatility Bands based on Average True Range (ATR) with customizable length, ATR type (RMA, SMA, EMA, WMA), and inner/outer multipliers. These bands help gauge price volatility and potential reversal zones. Users can toggle the visibility of the basis line.
Customizable Colors: Allows users to customize the colors of the Linear Regression Heikin Ashi bullish and bearish candles.
How to Use:
This is an overlay on your chart so you'll need to 'hide' the existing candlesticks on your chart.
This indicator can be used on any timeframe from seconds to days to quickly identify market trend, gauge volatility, and potentially find entry/exit points. Consider looking for confluence between the candle color/direction, T3 MA crossovers, and price interaction with the Volatility Bands.
Note: This indicator plots Linear Regression directly on Heikin Ashi candles, removing wicks for a focus on the linear trend within the smoothed data. Adjust the input parameters to suit your trading style and the specific market conditions.
HUGE CREDIT to ugurvu who originally created the Linear Regression Candles indicator that my indicator pulls code from.
