[Pandora] Laguerre Ultimate Explorations MulticatorIt's time to begin demonstrations differentiating the difference between known and actual feasibility beyond imagination... Welcome to my algorithmic twilight zone .
INTRODUCTION:
Hot off my press, I present this Laguerre multicator employing PSv6.0, originally formulated by John Ehlers for TASC - July 2025 Traders Tips. Basically I transcended Ehlers' notions of transversal filtration with an overhaul of his Laguerre design with my "what if" Pandora notions included. Striving beyond John Ehlers' original intended design. This action packed indicator is a radically revamped version of his original filter using novel techniques. My aim was to explore whether providing even more enhanced responsiveness and lesser lag is possible and how. Presented here is my mind warping results to witness.
EHLERS' LAGUERRE EXPLAINED:
First and foremost, the concept of Ehlers' Laguerre-izing method deserves a comprehensive deep dive. Ehlers' Laguerre filter design, as it functions originally, begins with his Ultimate Smoother (US) followed by a gang of four LERP (jargon for Linear intERPolation) filters. Following a myriad of cascading LERPs is a window-like FIR filter tapped into the LERP delay values to provide extra smoothness via the output.
On a side note, damping factor controlled LERP filters resemble EMAs indeed, but aren't exactly "periodic" filters that would have a period/length parameter and their subsequent calculations. I won't go into fine-grained relationship details, but EMA and LERP are indeed related in approach, being cousins of similar pedigree.
EXAMINING LAGUERRE:
I focused firstly on US initialization obstacles at Pine's bar_index==0 with nz() in abundance. The next primary notion of intrigue I mostly wondered about was, why are there four LERP elements instead of fewer or more. Why not three or why not two LERPs, etc... 1-4-6-4-1, I remember seeing those coefficients before in high pass filters.
Gathering my thoughts from that highpass knowledge base, I devised other tapped configuration modes to inspect their behavior out of curiosity. Eureka! There is actually more to Laguerre than Ehlers' mind provided, now that I had formulated additional modes. Each mode exhibits it's own lag/smoothness characteristics better than the quad LERPed version. I narrowed it down to a total of 5 modes for exploration. Mode 0 is just the raw US by itself.
ANALYZING FILTER BEHAVIORS:
Which option might be possibly superior, and how may I determine that? Fortunately, I have a custom-built analyzer allowing me to thoroughly examine transient responses across multiple periodicities simultaneously, providing remarkable visual insights.
While Ehlers has meagerly touched upon presenting general frequency responses in his books, I have excelled far beyond that. This robust filter analysis capability enables me to observe finer aspects hidden to others, ultimately leading to the deprecation of numerous existing filters. Not only this, but inventing entirely new species of filtration whether lowpass, highpass, or bandpass is already possible with a thorough comprehensive evaluation.
Revealing what's quirky with each filter and having the ability to discover what filters may be lacking in performance, is one of it's implications. I'm just going to explain this: For example US has a little too much overshoot to my liking, along with nonconformant cutoff frequency compliance with the period parameter. Perhaps Ehlers should inspect US coefficients a bit closer... I hope stating this is not received in an ill manner, as it's not my intention here.
What this technically eludes to is that UltimateSmoother can be further improved, analogous to my Laguerre alterations described above. I will also state Laguerre can indeed be reformulated to an even greater extent concerning group delay, from what I have already discussed. Another exciting time though... More investigative research is warranted.
LAGUERRE CONCLUSIONS:
After analyzing Laguerre's frequency compliance, transient responses, amplitudes, lag, symmetry across periodicities, noise rejection, and smoothness... I favor mode 3 for a multitude of reasons over the mode 4 configuration, but mostly superb smoothing with less lag, AND I also appreciated mode 1 & 2 for it's lower lag performance options.
Each mode and lag (phase shift) damping value has it's own unique characteristics at extremes, yet they demonstrate additional finesse in it's new hybrid form without adding too much more complexity. This multicator has a bunch of Laguerre filters in the overlay chart over many periodicities so you can easily witness it's differing periodic symmetries on an input signal while adjusting lag and mode.
LAGUERRE OSCILLATOR:
The oscillator is integrated into the laguerreMulti() function for the intention of posterity only. I performed no evaluation on it, only providing the code in Pine. That wasn't part of my intended exploration adventure, as I'm more TREND oriented for the time being, focusing my efforts there.
Market analysis has two primary aspects in my observations, one cyclic while the other is trending dynamics... There's endless oscillators, but my expectations for trend analysis seems a little lesser explored in my opinion, hence my laborious trend endeavors. Ehlers provided both indicator facets this time around, and I hope you find the filtration aspect more intriguing after absorption of this reading.
FUNCTION MODULES EXPLAINED:
The Ultimate Smoother is an advanced IIR lowpass smoothing filter intended to minimize noise in time series data with minimal group delay, similar to a traditional biquad filter. This calculation helps to create a smoother version of the original signal without the distortions of short-term fluctuations and with minimal lag, adjustable by period.
The Modified Laguerre Lowpass Filter (MLLF) enhances the functionality of US by introducing a Laguerre mode parameter along side the lag parameter to refine control over the amount of additional smoothing/lag applied to the signal. By tethering US with this LERPed lag mechanism, MLLF achieves an effective balance between responsiveness and smoothness, allowing for customizable lag adjustments via multiple inputs. This filter ends with selecting from a choice of weighted averages derived from a gang of up to four cascading LERP calculations, resulting with smoother representations of the data.
The Laguerre Oscillator is a momentum-like indicator derived from the output of US and a singular LERPed lowpass filter. It calculates the difference between the US data and Laguerre filter data, normalizing it by the root mean square (RMS). This quasi-normalization technique helps to assess the intensity of the momentum on any timeframe within an expected bound range centered around 0.0. When the Laguerre Oscillator is positive, it suggests that the smoothed data is trending upward, while a negative value indicates a downward trend. Adjustability is controlled with period, lag, Laguerre mode, and RMS period.
Osilatörler
MVRV Altcoins📌 Technical Description of Indicator: MVRV Altcoins
This advanced script calculates the Market Value to Realized Value (MVRV) ratio across multiple cryptocurrencies simultaneously. It offers two analytical modes: Normal and Z-Score, optimized for visual comparison and real-time monitoring of up to 13 predefined assets. If a user applies the indicator to a symbol that is not among the 13 programmed assets, the default behavior displays the Bitcoin chart as a fallback reference.
🔍 What Is MVRV and Why Is It Important?
MVRV is an on-chain metric designed to assess whether a cryptocurrency is overvalued or undervalued by comparing its market capitalization to its realized capitalization.
- Market Cap: The total circulating supply multiplied by the current market price.
- Realized Cap: The sum value of all coins based on the price at the time they last moved on-chain, offering a time-weighted valuation.
Normal Calculation:
MVRV_Normal = Market Cap / Realized Cap
This version reflects investor profitability and identifies potential accumulation or distribution zones.
📊 Z-Score Calculation:
MVRV_ZScore = (Market Cap − Realized Cap) / Standard Deviation of Market Cap
This formula evaluates how extreme the current market conditions are compared to historical norms. It normalizes the difference using statistical dispersion, turning it into a volatility-aware metric that better reflects valuation extremes.
🔎 How Market Cap Is Computed
Unlike conventional indicators relying on consolidated feeds, this script uses modular components from CoinMetrics to construct the active capitalization more accurately, especially for altcoins. Here's the breakdown:
Active Capitalization = MARKETCAPFF + MARKETCAPACTSPLY
Realized Capitalization = MARKETCAPREAL
Component Definitions:
- MARKETCAPFF: Market Cap Free Float — total valuation based only on truly circulating coins.
- MARKETCAPACTSPLY: Capitalization from actively circulating supply — filters dormant or locked coins.
- MARKETCAPREAL: Realized Cap — historical valuation weighted by the last on-chain movement of each coin.
This method offers enhanced precision and compatibility across assets that may lack comprehensive data from centralized providers.
⚙️ User-Configurable Parameters
- MVRV Mode: Choose between Normal and Z-Score.
- Percentage Scale View: If enabled, visual output is scaled using predefined divisors (100 / 3.5 or 100 / 6).
- Thresholds for Analysis:
- Normal mode: Define overbought and oversold levels (default 1.0 and 3.5).
- Z-Score mode: Configure statistical boundaries (default 0.0 and 6.0).
- Table Controls:
- Adjustable position on screen (9 options).
- Font size customization: tiny, small, normal, large.
- Color scheme personalization:
- Header: text and background
- Body: text and background
- Central column separator color
📊 Multicrypto Table Architecture
The indicator renders a high-performance visual table displaying data from up to 13 assets simultaneously. Each asset is represented as a vertical column featuring eigth historical data points plus the most recent value.
- Assets are displayed in two blocks separated by a decorative column.
- Each value is rounded to one decimal place for clarity.
- Cells are styled dynamically based on user settings.
🎨 Decorative Column Separator
Since the entire table is built as a unified structure, a color-configurable empty column is inserted mid-table to act as a visual divider. This approach improves readability and aesthetic balance without duplicating code or splitting table logic.
🔁 Default Behavior on Unsupported Assets
If the active chart is not one of the 13 predefined assets, the indicator will automatically display Bitcoin’s data. This ensures the chart remains functional and informative even outside the target asset group.
🎯 Color Interpretation by Condition
The MVRV value for each asset is highlighted using a traffic light system:
- Green: Undervalued (below oversold threshold)
- Red: Overvalued (above overbought threshold)
- Yellow: Neutral zone
This coding simplifies decision-making and visual scanning across assets.
Final Notes
This indicator is modular and fully adaptable, with well-commented sections designed for efficient customization. Its multiactive architecture makes it a valuable tool for crypto analysts tracking diversified portfolios beyond Bitcoin and Ethereum.
It supports visual storytelling across assets, comparative historical evaluation, and identification of strategic zones — whether for accumulation, distribution, or monitoring on-chain sentiment.
PRO Investing - Apex EnginePRO Investing - Apex Engine
1. Core Concept: Why Does This Indicator Exist?
Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static.
The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action.
This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines:
Volatility analysis (ATR) to generate adaptive lookback periods.
Momentum measurement (ROC) to gauge the speed of price changes.
Statistical analysis (Correlation) to validate which momentum measurement is most effective right now.
Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions.
The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal.
2. How It Works: The Engine's Three-Stage Process
To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal.
Stage 1: Adapt (Dynamic Length Calculation)
The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len.
Stage 2: Validate (Self-Optimizing Mode Selection)
This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard.
Stage 3: Signal (Normalized Velocity Oscillator)
The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light.
3. How to Use the Indicator: A Practical Guide
Reading the Visuals:
Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow).
Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals.
Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align.
Background Color (Green/Red/Gray): This is your trend context.
Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear.
Red: Bearish trend confirmed. Only Sell signals (▼) can appear.
Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out.
Trading Strategy Example:
Wait for a colored background. A green or red background indicates the market is in a tradable trend.
Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear.
Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns).
Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears.
4. Settings and Customization
This script is open-source, and its settings are transparent. You are encouraged to understand them.
Synaptic Engine Group:
Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable.
Optimization Lookback: How many bars to use for the correlation check.
Switch Sensitivity: A buffer to prevent frantic switching between modes.
Advanced Configuration & Filters Group:
Price Source: The data source for momentum calculation (default close).
Trend Filter MA Type & Length: Define your long-term trend.
Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA.
ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold.
5. Important Disclaimer
This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
RSI with Williams %R Coloringsimple fusion of RSI to seek divergence and williams % R coloring to see overbought/oversold price.
not my own work, just merely took two standard indicators and infused them.
RSI Long Only with Confirmed CrossbacksThis RSI-based long-only strategy aims to identify and trade potential reversals with confirmation to reduce false signals. It enters a long position only after the Relative Strength Index (RSI) first dips below a specified oversold threshold (default 44) and then crosses back above it, signaling a possible bullish reversal with momentum. The strategy avoids premature entries by requiring this two-step confirmation. Similarly, it exits the long position only after RSI first rises above the overbought threshold (default 70) and then crosses back below it, indicating a potential loss of bullish momentum. By waiting for RSI to travel beyond the thresholds and then revert, the strategy attempts to capture stronger and more reliable directional moves while filtering out temporary spikes.
Cross-Correlation Lead/Lag AnalyzerCross-Correlation Lead/Lag Analyzer (XCorr)
Discover which instrument moves first with advanced cross-correlation analysis.
This indicator analyzes the lead/lag relationship between any two financial instruments using rolling cross-correlation at multiple time offsets. Perfect for pairs trading, market timing, and understanding inter-market relationships.
Key Features:
Universal compatibility - Works with any two symbols (stocks, futures, forex, crypto, commodities)
Multi-timeframe analysis - Automatically adjusts lag periods based on your chart timeframe
Real-time correlation table - Shows current correlation values for all lag scenarios
Visual lead/lag detection - Color-coded plots make it easy to spot which instrument leads
Smart "Best" indicator - Automatically identifies the strongest relationship
How to Use:
Set your symbols in the indicator settings (default: NQ1! vs RTY1!)
Adjust correlation length (default: 20 periods for smooth but responsive analysis)
Watch the colored lines:
• Red/Orange: Symbol 2 leads Symbol 1 by 1-2 periods
• Blue: Instruments move simultaneously
• Green/Purple: Symbol 1 leads Symbol 2 by 1-2 periods
Check the table for exact correlation values and the "Best" relationship
Interpreting Results:
Correlation > 0.7: Strong positive relationship
Correlation 0.3-0.7: Moderate relationship
Correlation < 0.3: Weak/no relationship
Highest line indicates the optimal timing relationship
Popular Use Cases:
Index Futures : NQ vs ES, RTY vs IWM
Sector Rotation : XLF vs XLK, QQQ vs SPY
Commodities : GC vs SI, CL vs NG
Currency Pairs : EURUSD vs GBPUSD
Crypto : BTC vs ETH correlation analysis
Technical Notes:
Cross-correlation measures linear relationships between two time series at different time lags. This implementation uses Pearson correlation with adjustable periods, calculating correlations from -2 to +2 period offsets to detect leading/lagging behavior.
Perfect for quantitative analysts, pairs traders, and anyone studying inter-market relationships.
Indicator TesterIndicator Tester
Designed to evaluate and backtest a composite trading signal based on multiple technical indicators across volatility, volume, momentum, and moving average categories. It is suitable for assets like Bitcoin, on all timeframes.
Key Features:
Indicator Selection: Allows users to enable/disable indicators such as CCI, Bollinger Bands, RVI, MFI, VZO, EFI, KVO, VPT, COPP, RSI, StochRSI, MOM, TRIX, SMI, MA Cross, RTI, and Simple MA, with customizable parameters.
Customizable Inputs:
Individual indicator settings (e.g., lengths, thresholds).
Flip threshold to adjust the signal activation point.
Backtest settings including custom start date, signal type (Long & Short, Long Only, Short Only), and fees.
Table positions for performance and settings display.
Visualization:
Plots an equity curve (orange for positive signals, white otherwise) and a buy-and-hold equity curve (blue).
Displays a performance table comparing indicator equity, drawdown, standard deviation, Sharpe, Sortino, and Omega ratios with buy-and-hold metrics.
A settings table shows backtest start date, fees, number of indicators used, and flip threshold.
Usage:
Enables traders to test and optimize a strategy by combining selected indicators, with performance metrics calculated from the equity curve.
The equity curve and backtest tables help compare the strategy against a buy-and-hold approach.
Ideal for overlay on a 1-day chart to analyze historical performance, as depicted in the Bitcoin/USD chart.
MCPZ - Meme Coin Price Z-Score [Da_Prof]Meme Coin Price Z-score (MCPZ). Investor preference for meme coin trading may signal irrational exuberance in the crypto market. If a large spike in meme coin price is observed, a top may be near. Similarly, if a long price depression is observed, versus historical prices, that generally corresponds to investor apathy, leading to higher prices. The MEME.C symbol allows us to evaluate the sentiment of meme coin traders. Paired with the Meme Coin Volume (MCV) and Meme Coin Gains (MCG) indicators, the MCPZ helps to identify tops and bottoms in the overall meme coin market. The MCPZ indicator helps identify potential mania phases, which may signal nearing of a top and apathy phases, which may signal nearing a bottom. A moving average of the Z-score is used to smooth the data and help visualize changes in trend. In back testing, I found a 10-day sma of the MCPZ works well to signal tops and bottoms when extreme values of this indicator are reached. The MCPZ seems to spend a large amount of time near the low trigger line and short periods fast increase into mania phases.
Meme coins were not traded heavily prior to 2020, but the indicator still picks a couple of tops prior to 2020. Be aware that the meme coin space also increased massively in 2020, so mania phases may not spike quite as high moving forward and the indicator may need adjusting to catch tops. It is recommended to pair this indicator with the MCG and MCV indicators to create an overall picture.
The indicator grabs data from the MEME.C symbol on the daily such that it can be viewed on other symbols.
Use this indicator at your own risk. I make no claims as to its accuracy in forecasting future trend changes of memes or any other asset.
Hope this is helpful to you.
--Da_Prof
PSX OBV Divergence Labels (1H/4H/1D/1W, Enhanced)This script identifies and labels bullish and bearish OBV divergences on the price chart, specifically optimized for swing trading in the Pakistan Stock Exchange (PSX) but also works well across global equities, indices, and crypto.
🔍 What It Does
📈 Bullish OBV Divergence (Green “BUY” label):
Price makes a new low while OBV forms a higher low — suggesting accumulation and a potential reversal.
📉 Bearish OBV Divergence (Red “SELL” label):
Price makes a new high while OBV forms a lower high — indicating distribution and potential weakness.
All signals are confirmed on candle close and filtered for smart volume and OBV stability, helping reduce noise and false positives.
⚙️ How It Works
OBV Divergence Lookback: Scans the last N bars (default 20) for divergence patterns
Volume Spike Filter: Bullish divergences are only considered valid if volume exceeds a smoothed average × multiplier
OBV Slope Confirmation: Confirms that OBV is moving in the expected direction across recent bars before signaling
Multi-Timeframe Support: Designed for 1H, 4H, 1D, and 1W timeframes — ideal for position and swing traders
📈 Best Use Cases
✅ PSX stocks (KSE100, KMI30)
✅ Crypto, indices, or commodities where volume data is available
✅ Works best when combined with price action, support/resistance, or market structure
📎 Parameters
OBV Divergence Lookback: Length of historical window to evaluate OBV vs. price divergence
Volume Smoothing: Period for volume moving average
Volume Spike Multiplier: Threshold for volume strength (default = 1.0x)
OBV Stability Confirmation Bars: OBV must show consistent direction across this many bars before confirming divergence
🧠 Pro Tip
Use divergence signals in confluence with:
Fair Value Gaps
Market Structure Breaks (BMS)
HTF Order Blocks or key SR levels
… for much stronger trade setups.
PSX OBV Divergence Labels (1D)PSX OBV Divergence Labels (1H/4H/1D/1W, Enhanced)
Description:
This indicator marks bullish and bearish OBV divergences on the price chart for PSX and other markets. Designed specifically for swing traders who operate on 1H, 4H, 1D, and 1W timeframes, it enhances basic divergence detection by incorporating volume spikes and OBV slope confirmation — improving signal reliability and reducing noise.
Key Features:
📈 Bullish Divergence: Marks potential buy zones when price hits a local low while OBV shows upward momentum with volume spike confirmation.
📉 Bearish Divergence: Flags potential sell zones when price hits a local high while OBV trends lower with volume weakness.
✅ Slope Confirmation: Filters signals based on sustained OBV direction over a user-defined number of bars.
🔊 Volume Filter: Detects divergence only when volume exceeds the average by a customizable multiplier (default 1.0).
🔍 Clean Visualization: Green “BUY” and red “SELL” labels show clearly on the chart, synced with candle price movement.
Best Timeframes to Use:
1H, 4H, 1D, and 1W (optimized for PSX stocks, KSE100, and KMI30)
Swing traders aiming for 2–4 week holding windows will find the most utility.
Recommended Settings:
OBV Lookback: 20
Volume Smoothing: 20
Spike Multiplier: 1.0
Slope Confirmation: 3 bars
Strategy Tip:
Use divergences in confluence with key support/resistance levels, price action traps, and market structure for high-probability setups. This tool is best used for trend exhaustion detection and reversal signals.
PSX OBV Divergence Labels (1D)PSX OBV Divergence Labels (1D)
This indicator highlights bullish and bearish OBV (On-Balance Volume) divergences on the price chart, specifically designed for daily timeframe swing trading in PSX (Pakistan Stock Exchange) stocks.
🟢 Green triangle (Bullish Divergence) appears when price makes a new low but OBV does not — suggesting accumulation and potential reversal.
🔴 Red triangle (Bearish Divergence) appears when price makes a new high but OBV does not — indicating weakening momentum and possible distribution.
Volume spike filtering is included to increase reliability. No trade signals or exits — this is a pure visual divergence tool to support manual decision-making. Ideal for spotting shifts in volume pressure ahead of price reversals.
1H LONG Setup CheckerThis TradingView script identifies high-probability long setups on the 1-hour chart by evaluating five key technical conditions: price above the 200 MA, a higher low structure, RSI above 50 and rising, a bullish MACD crossover, and a breakout above recent resistance. When at least four of these are met, it signals a potential long opportunity with a visual label and background highlight. This tool is useful for traders seeking objective, rule-based entries in trending markets like SOL/USDC and PEPE/USDC.
Directional ADX with Dynamic ThresholdThis indicator displays the ADX line, color-coded with a green line indicating a bullish DMI and a red line indicating a bearish DMI. The line turns grey when there is no trend. The trend threshold is determined by ATR. Settings are adjustable. Nothing earth-shattering but this has helped me quite a bit in my trading.
DAO - Directional ATR OscillatorDAO - Directional ATR Oscillator. it combines trenddirection and strength by simply splitting the Average True Range in both directions over an oscilators zeroline with two MAs to make it easier to spot the overall trenddirection together with momentum and strength but it also works great for spotting divergences and possible trendreversals early. have fun with this everything indicator !
RSI, CCI, ADX Panel (Custom TF for Each)RSI, CCI, and ADX Combined – Multi-Timeframe, Fully Customizable Panel Indicator for TradingView
Overview
This Pine Script indicator integrates the Relative Strength Index (RSI), Commodity Channel Index (CCI), and Average Directional Index (ADX) into a single, clean panel for effortless technical analysis. Each indicator operates independently, with customizable length, smoothing, and time frame for maximum flexibility. Traders can now monitor momentum, trend strength, and overbought/oversold conditions across different time frames—all in one place.
Key Features
Independent Controls: Set length, smoothing (ADX), and time frame individually for each indicator via the settings panel.
Multi-Timeframe Support: Each oscillator (RSI, CCI, ADX) can be calculated on its own time frame, enabling nuanced inter-timeframe analysis.
Customizable Visualization: Adjust line color and thickness for each indicator to match your chart style.
Clean, Non-Overlay Display: All three indicators are plotted in a dedicated panel beneath the price chart, reducing clutter.
Reference Levels: Includes standard reference lines for oversold/overbought (RSI, CCI) and trend threshold (ADX) for quick visual cues.
Usage Ideas
Swing Trading: Compare short- and long-term momentum using different time frames for RSI, CCI, and ADX.
Trend Confirmation: Use ADX to filter RSI and CCI signals—only trade overbought/oversold conditions during strong trends.
Divergence Hunting: Spot divergences between time frames for early reversal signals.
Scalping: Set RSI and CCI to lower time frames for entry, while monitoring higher timeframe ADX for trend context.
How to Install
Paste the script into the Pine Editor on TradingView.
Add to chart. Adjust settings as desired.
Save as a template for quick reuse on any chart—all your custom settings will be preserved.
Customization
Edit lengths and time frames in the indicator’s settings dialog.
Toggle reference lines on/off as needed.
Fine-tune line appearance (color, thickness) for clarity.
Note:
This indicator does not provide automated buy/sell signals. It is a customizable analytical tool for manual or semi-automated trading. Use in combination with other technical or fundamental analysis for best results.
Combine Momentum, Trend, and Volatility—Seamlessly and Visually—With One Indicator.
RSI + TSV Kombi📊 RSI + TSV Combo Indicator (Intraday Reversal Tool)
This custom TradingView indicator is designed for intraday traders who want to combine price momentum (via RSI) with volume-based confirmation (via TSV). It’s particularly powerful for spotting short-term reversals around key market zones like VWAP, support/resistance, or options levels.
🧠 What does the Indicator show?
The indicator contains two elements in one pane:
🔹 Top Line – RSI (Relative Strength Index)
Type: RSI(7) – a short-term version of the classic RSI
Color-coded:
🟢 Green when RSI < 30 → potential oversold → bullish bias
🔴 Red when RSI > 70 → potential overbought → bearish bias
⚪ Gray in between → neutral
🔎 Purpose: Identifies overextended price moves — early warning for possible reversal zones.
🔸 Bottom Bars – TSV (Time Segmented Volume)
Formula: EMA(change(close) * volume, 9)
Color-coded histogram:
🟢 Green when TSV > 0 → bullish volume momentum
🔴 Red when TSV < 0 → bearish volume momentum
🔎 Purpose: Confirms whether price moves are supported by actual volume — helps filter false signals from RSI.
⚖️ How to Interpret the Indicator
✅ Long Setup
RSI is below 30 (green line)
TSV bars turn green or cross above 0
Ideally at a support level or near VWAP
➡️ Buy signal confirmed by volume
❌ Short Setup
RSI above 70 (red line)
TSV bars are red or turning red
Ideally at a resistance zone or VWAP deviation
➡️ Sell signal confirmed by selling pressure
⚠️ Avoid trades when...
RSI is oversold/overbought, but TSV disagrees
(e.g. RSI < 30 but TSV is red → weak confirmation)
🧭 Practical Usage in Intraday Trading (e.g. 5-minute chart)
Step What to look for
Setup Zone RSI hits extreme level (under 30 or above 70)
Volume Confirmation TSV bars flip color (red → green or vice versa)
Entry Price breaks candle high/low with volume support
Exit VWAP, volume node, or next support/resistance zone
🔧 Options for Expansion
This script is already running cleanly, but you could easily extend it with:
📍 Buy/Sell Arrows on chart when both RSI + TSV align
🔔 Alerts for instant trade triggers
💡 Overlay version that places symbols directly on the price chart
🔒 Filter to only show signals above/below VWAP
Let me know — I can build any of these for you.
✅ Summary
This RSI + TSV Combo is a simple yet powerful tool to:
Spot momentum reversals
Confirm trades with volume
Stay disciplined and rule-based in fast-moving intraday setups
It’s especially useful when combined with:
VWAP
Volume Profile Zones (HVNs/LVNs)
Key psychological or options levels
RSI with Two BenchmarksRSI with Two Benchmark
Usage: To check Relative Momentum
Any Stock Chart With 2 Different Banchmarks ( It can be Nifty , Banknifty of any Index or Sector Index )
RSI Shift Zone [ChartPrime]OVERVIEW
RSI Shift Zone is a sentiment-shift detection tool that bridges momentum and price action. It plots dynamic channel zones directly on the price chart whenever the RSI crosses above or below critical thresholds (default: 70 for overbought, 30 for oversold). These plotted zones reveal where market sentiment likely flipped, helping traders pinpoint powerful support/resistance clusters and breakout opportunities in real time.
⯁ HOW IT WORKS
When the RSI crosses either the upper or lower level:
A new Shift Zone channel is instantly formed.
The channel’s boundaries anchor to the high and low of the candle at the moment of crossing.
A mid-line (average of high and low) is plotted for easy visual reference.
The channel remains visible on the chart for at least a user-defined minimum number of bars (default: 15) to ensure only meaningful shifts are highlighted.
The channel is color-coded to reflect bullish or bearish sentiment, adapting dynamically based on whether the RSI breached the upper or lower level. Labels with actual RSI values can also be shown inside the zone for added context.
⯁ KEY TECHNICAL DETAILS
Uses a standard RSI calculation (default length: 14).
Detects crossovers above the upper level (trend strength) and crossunders below the lower level (oversold exhaustion).
Applies the channel visually on the main chart , rather than only in the indicator pane — giving traders a precise map of where sentiment shifts have historically triggered price reactions.
Auto-clears the zone when the minimum bar length is satisfied and a new shift is detected.
⯁ USAGE
Traders can use these RSI Shift Zones as powerful tactical levels:
Treat the channel’s high/low boundaries as dynamic breakout lines — watch for candles closing beyond them to confirm fresh trend continuation.
Use the midline as an equilibrium reference for pullbacks within the zone.
Visual RSI value labels offer quick checks on whether the zone formed due to extreme overbought or oversold conditions.
CONCLUSION
RSI Shift Zone transforms a simple RSI threshold crossing into a meaningful structural tool by projecting sentiment flips directly onto the price chart. This empowers traders to see where momentum-based turning points occur and leverage those levels for breakout plays, reversals, or high-confidence support/resistance zones — all in one glance.
RSI Overbought/Oversold MTFRSI Overbought / Oversold MTF — Dashboard & Alerts
What it does
This script scans up to 13 symbols at once and shows their RSI readings on three lower‑time‑frames (1 min, 5 min, 15 min).
If all three RSIs for a symbol are simultaneously above the overbought threshold or below the oversold threshold, the script:
Prints the condition (“Overbought” / “Oversold”) in a color‑coded dashboard table.
Fires a one‑per‑bar alert so you never miss the move.
Key features
Feature Details
Multi‑symbol Default list includes BTC, ETH, SOL, BNB, XRP, ADA, AVAX, AVAAI, DOGE, VIRTUAL, SUI, ALCH, LAYER (all Binance pairs). Replace or reorder in the inputs.
Triple‑time‑frame check RSI is calculated on 1 m, 5 m, 15 m for each symbol.
Customizable thresholds Set your own RSI Period, Overbought and Oversold levels. Defaults: 14 / 70 / 30.
Color‑coded dashboard Top‑right table shows:
• Symbol name
• RSI 1 m / 5 m / 15 m (red = overbought, green = oversold, white = neutral)
• Overall Status column (“Overbought”, “Oversold”, “Mixed”).
Alerts built in Triggers once per bar whenever a symbol is overbought or oversold on all three time‑frames simultaneously.
Typical use cases
Scalp alignment — Enter when all short TFs agree on overbought/oversold extremes.
Mean‑reversion spotting — Identify stretched conditions across multiple coins without switching charts.
Quick sentiment scan — Glance at the dashboard to see where momentum is heating up or cooling down.
How to use
Add to chart (overlay = false; it sits in its own pane).
Adjust symbols & thresholds in the Settings panel.
Create alerts → choose “RSI Overbought/Oversold MTF” → “Any Alert() Function Call” to receive push, email, or webhook notifications.
Note: The script queries many symbols each bar; use on lower time‑frames only if your data limits allow.
For educational purposes only — not financial advice. Always test on paper before trading live.
OBV Oscillator with Divergence CirclesCredit to original code from the 'PPO Divergence alerts' by Scarf and OBV Oscillator by LazyBear is used as the input.
Replication of Lunndi 'OBV Divergence Alerts (BETA)' script with additional divergence logic implemented.
OBV-based divergence logic adapted from RSI divergence logic added in addition to existing divergence logic.
Modify length and smoothing to suit your trading style. Open source free for use.
TheDevashishratio-MomentumThis custom momentum indicator is inspired by Fibonacci principles but builds a unique sequence with steps of 0.5 (i.e., 0, 0.5, 1, 1.5, 2, ...). Instead of traditional Fibonacci numbers, each step functions as a dynamic lookback period for a momentum calculation. By cycling through these fractional steps, you capture a layered view of price momentum over varying intervals.
The "Fibonacci" Series Used
Sequence:
0, 0.5, 1, 1.5, 2, … up to a user-defined maximum
For trading indicators, lag values (lookback) must be integers, so each step is rounded to the nearest integer and duplicates are removed, resulting in lookbacks:
1, 2, 3, 4, ... N
Indicator Logic
For each selected lookback, the indicator calculates momentum as:
Momentum
n
=
close
−
close
Momentum
n
=close−close
Where:
close = current price
n = integer from your series of
You can combine these momenta for an averaged or weighted momentum profile, displaying the composite as an oscillator.
How To Use
Bullish: Oscillator above zero indicates positive composite momentum.
Bearish: Oscillator below zero indicates negative composite momentum.
Crosses: A cross from below to above zero may signal emerging bullish momentum, and vice versa.
Customization
Adjust max_step to control how many interval lags you want in your composite.
This oscillator averages across many short and mid-term momenta, reducing noise while still being sensitive to changes.
Summary
TheDevashishratio-Momentum offers a fresh momentum oscillator, blending a "Fibonacci-like" progression with technical analysis, and can be easily copy-pasted into TradingView to experiment and refine your edge.
For more on momentum indicator logic or how to use arrays and series in Pine Script, explore TradingView's official documentation and open-source scripts
Overheat Oscillator with DivergenceIndicator Description
The Overheat Oscillator with Divergence is an advanced technical indicator designed for the TradingView platform, assisting traders in identifying potential market reversal points by analyzing price momentum and volume, as well as detecting divergences. The indicator combines trend strength assessment with signal smoothing to provide clear indications of market overheat or oversold conditions. An optional divergence detection feature allows for the identification of discrepancies between price movement and the oscillator's value, which may signal upcoming trend changes.
The indicator is displayed in a separate panel below the price chart and offers visual cues through a color gradient, horizontal reference lines, and a dynamic market sentiment table. Users can customize numerous parameters, such as calculation periods, sentiment thresholds, line colors, and visualization styles, making the indicator a versatile tool for various trading strategies.
How the Indicator Works
The indicator is based on the following key components:
Oscillator Calculations
The indicator analyzes price candles, assigning a score based on their nature. A bullish candle (when the closing price is higher than the opening price) receives a score of +1.0, while a bearish candle (when the closing price is lower than the opening price) receives a score of -1.0. This scoring reflects the strength of price movement over a given period.
The score is modified by a volume multiplier (default: 2.0) if the candle's volume exceeds the volume's simple moving average (SMA, default: calculated over 20 candles). This ensures that candles with higher volume have a greater impact on the oscillator's value, better capturing significant market movements driven by increased trading activity. For example, a bullish candle with high volume may receive a score of +2.0 instead of +1.0, amplifying the bullish signal.
The scores are summed over a specified number of candles (default: 20), normalized to a 0–100 range, and then smoothed using a simple moving average (SMA, default: 5 periods) to reduce noise and improve signal clarity.
Color Gradient
The oscillator's values are visualized using a color gradient that changes based on the oscillator's level:
Green: Market cooldown (values below the Gradient Min threshold).
Yellow: Neutral sentiment (values between Gradient Min and Gradient Yellow).
Orange: Elevated activity (values between Gradient Yellow and Gradient Orange).
Red: Market overheat (values above Gradient Orange).
The color gradient is applied as the background in the oscillator panel, facilitating quick assessment of market sentiment.
Reference Levels
The indicator displays customizable horizontal lines for key thresholds (e.g., Overheat Threshold, Oversold Threshold, Gradient Min, Yellow, Orange, Max). These lines are visible only at the height of the last few oscillator candles, preventing chart clutter and helping users focus on current values.
Users can also define three custom horizontal lines with selectable styles (solid, dotted, dashed) and colors. These lines serve as auxiliary tools, e.g., for marking personal support/resistance levels, but do not affect the oscillator's signals or background colors.
Market Sentiment
The indicator displays sentiment labels in a table located in the top-right corner of the panel, dynamically updating based on the oscillator's value:
Cooled: Values below Gradient Yellow (default: 35).
Neutral: Values between Gradient Yellow and Gradient Orange (default: 60).
Excited: Values between Gradient Orange and Overheat Threshold (default: 70).
Overheated: Values above Overheat Threshold (default: 70).
The Overheat Threshold and Oversold Threshold are critical for displaying the "Overheated" and "Cooled" labels in the sentiment table, enabling users to quickly identify extreme market conditions. The labels update when key thresholds are crossed, and their colors match the oscillator's gradient.
Divergence Detection
The indicator offers optional detection of regular bullish and bearish divergences:
Bullish Divergence: Occurs when the price forms a lower low, but the oscillator forms a higher low, suggesting a weakening downtrend.
Bearish Divergence: Occurs when the price forms a higher high, but the oscillator forms a lower high, suggesting a weakening uptrend.
Divergences are marked on the chart with labels ("Bull" for bullish, "Bear" for bearish) and lines indicating pivot points. They are calculated with a delay equal to the Lookback Right setting (default: 5 candles), meaning signals appear after pivot confirmation in the specified lookback period. The indicator also generates alerts for users when a divergence is detected.
Indicator Settings
Main Settings (SETTINGS)
Period Length: Specifies the number of candles used for oscillator calculations (default: 20).
Volume SMA Period: The period for the volume's simple moving average (default: 20).
Volume Multiplier: Multiplier applied to candle scores when volume exceeds the average (default: 2.0).
SMA Length: The period for smoothing the oscillator with a simple moving average (default: 5).
Thresholds (THRESHOLDS)
Overheat Threshold: Level indicating market overheat (default: 70). This value determines when the sentiment table displays the "Overheated" label, signaling a potential peak in an uptrend.
Oversold Threshold: Level indicating market cooldown (default: 30). This value determines when the sentiment table displays the "Cooled" label, signaling a potential bottom in a downtrend.
Gradient Min (Green): Lower threshold for the green gradient (default: 20).
Gradient Yellow Threshold: Threshold for the yellow gradient (default: 35).
Gradient Orange Threshold: Threshold for the orange gradient (default: 60).
Gradient Max (Red): Upper threshold for the red gradient (default: 70).
Visualization (VISUALIZATION)
Signal Line Color: Color of the oscillator line (default: dark red, RGB(5, 0, 0)).
Show Reference Lines: Enables/disables the display of threshold lines (default: enabled).
Divergence Settings (DIVERGENCE SETTINGS)
Calculate Divergence: Enables/disables divergence detection (default: disabled).
Lookback Right: Number of candles back for pivot analysis (default: 5).
Lookback Left: Number of candles to the left for pivot analysis (default: 5).
Line Style (STYLE)
Custom Line 1, 2, 3 Value: Levels for custom horizontal lines (default: 70, 50, 30).
Custom Line 1, 2, 3 Color: Colors for custom lines (default: black, RGB(0, 0, 0)).
Custom Line 1, 2, 3 Style: Line styles (solid, dotted, dashed; default: dashed, dotted, dashed).
How to Use the Indicator
Adding to the Chart
Add the indicator to your TradingView chart by searching for "Overheat Oscillator with Divergence."
Configure the settings according to your trading strategy.
Signal Interpretation
Overheated: Values above the Overheat Threshold (default: 70) in the sentiment table may indicate a potential uptrend peak.
Cooled: Values below the Oversold Threshold (default: 30) in the sentiment table may suggest a potential downtrend bottom.
Divergences:
Bullish: Look for "Bull" labels on the chart, indicating potential upward reversals (calculated with a Lookback Right delay).
Bearish: Look for "Bear" labels, indicating potential downward reversals (calculated with a Lookback Right delay).
Customization
Experiment with settings such as period length, volume multiplier, or gradient thresholds to tailor the indicator to your trading style (e.g., scalping, medium-term trading).
Usage Examples
Scalping: Set a shorter period (e.g., Period Length = 10, SMA Length = 3) and monitor rapid sentiment changes and divergences on lower timeframes (e.g., 5-minute charts).
Medium-Term Trading: Use default settings or increase Period Length (e.g., 30) and SMA Length (e.g., 7) for more stable signals on hourly or daily charts.
Reversal Detection: Enable divergence detection and observe "Bull" or "Bear" labels in conjunction with overheat/cooled levels in the sentiment table.
Notes
The indicator performs best when used in conjunction with other technical analysis tools, such as support/resistance lines, moving averages, or Fibonacci levels.
Divergences may serve as early signals but do not always guarantee immediate trend reversals—confirmation with other indicators is recommended.
Test different settings on historical data to find the optimal configuration for your chosen market and timeframe.
Stochastic with Z-Score📊 Stochastic with Z-Score
This custom indicator enhances the classic Stochastic Oscillator by applying Z-Score normalization to both %K and %D lines, helping traders identify statistically significant overbought and oversold conditions based on historical behavior.
🔍 Key Features:
Z-Score Normalization of %K and %D:
Detects deviations from the mean using standard deviation, offering a more dynamic and statistically grounded way to interpret momentum.
Signal Confirmation Filters:
✅ Trend Filter using 200 EMA: Only trade in the direction of the prevailing trend.
✅ Volume Filter: Confirms signals only when volume exceeds the moving average, reducing noise.
Buy & Sell Signals:
📈 Buy: Triggered when the Z-score of %K crosses above a negative threshold, %D is still below that threshold, and the candle is bullish.
📉 Sell: Triggered when the Z-score of %K crosses below a positive threshold, %D is still above that threshold, and the candle is bearish.
Signals are further filtered by trend and volume if enabled.
Customizable Thresholds & Settings:
Control Z-score length, thresholds, Stochastic lengths, and filter settings.
Visual Enhancements:
Colored histogram based on Z-score levels.
Shaded background in overbought/oversold zones.
Clear “Buy” and “Sell” labels plotted directly on the chart.
Alerts Included:
Set alerts on confirmed buy and sell signals for real-time notifications.
📘 How to Use:
Use this indicator on any timeframe or asset.
Enable or disable trend and volume filters depending on your strategy.
Use signals in confluence with price action or other indicators.
Adjust Z-score thresholds for more or fewer signals based on your risk profile.
⚠️ Note: This is an indicator, not a strategy. Always test signals on historical data and in simulation before live trading.
