Ben D"s IndicatorIt Auto Draws and Detects, Channels draws buy and sell signals based on over bought, oversold and a few other indicators. It works on all time frames! Enjoy! Leave a comment if you like it.
Sentiment
[CT] Donchian Histogram w/Candle ColorsDonchian Histogram, originally created by RafaelZioni and enhanced with optional price bar coloring, is a momentum-style oscillator that shows where the current close sits inside a dynamic Donchian channel and how that position is evolving over time. The script calculates a rolling high and low over a multi-session lookback period based on your chosen Donchian timeframe, then normalizes the close within that range to create a percentage position between the recent high and low. This normalized value is smoothed with a signal length and plotted as a histogram around a zero line, making it easy to see whether price is pressing toward the upper side of its recent range, the lower side, or oscillating near the middle. Positive values indicate that price is trading closer to the Donchian high, negative values indicate price is closer to the Donchian low, and the magnitude of the histogram reflects how strongly price is favoring one side of the range. The color logic highlights this state visually: stronger positive conditions can be shown in teal, moderate positive conditions in lime, stronger negative conditions in red, and neutral or transitional states in orange. The script also includes an option to color the actual chart candles with the same colors as the histogram, so traders can see Donchian-based pressure directly on the main price chart without constantly looking down at the lower pane. The indicator works on completed bars using standard highest/lowest and moving average functions, so it behaves like a normal oscillator and does not use any lookahead tricks. It is best used as a contextual tool to gauge whether price is pushing to the edges of its recent range or reverting toward balance, and to visually synchronize that information with candle colors when desired.
Superior-Range Bound Renko - Alerts - 11-29-25 - Signal LynxSuperior-Range Bound Renko – Alerts Edition with Advanced Risk Management Template
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
This is the Alerts & Indicator Edition of Superior-Range Bound Renko (RBR).
The Strategy version is built for backtesting inside TradingView.
This Alerts version is built for automation: it emits clean, discrete alert events that you can route into webhooks, bots, or relay engines (including your own Signal Lynx-style infrastructure).
Under the hood, this script contains the same core engine as the strategy:
Adaptive Range Bounding based on volatility
Renko Brick Emulation on standard candles
A stack of Laguerre Filters for impulse detection
K-Means-style Adaptive SuperTrend for trend confirmation
The full Signal Lynx Risk Management Engine (state machine, layered exits, AATS, RSIS, etc.)
The difference is in what we output:
Instead of placing historical trades, this version:
Plots the entry and RM signals in a separate pane (overlay = false)
Exposes alertconditions for:
Long Entry
Short Entry
Close Long
Close Short
TP1, TP2, TP3 hits (Staged Take Profit)
This makes it ideal as the signal source for automated execution via TradingView Alerts + Webhooks.
2. Quick Action Guide (TL;DR)
Best Timeframe:
4H and above. This is a swing-trading / position-trading style engine, not a micro-scalper.
Best Assets:
Volatile but structured markets, e.g.:
BTC, ETH, XAUUSD (Gold), GBPJPY, and similar high-volatility majors or indices.
Script Type:
indicator() – Alerts & Visualization Only
No built-in order placement
All “orders” are emitted as alerts for your external bot or manual handling
Strategy Type:
Volatility-Adaptive Trend Following + Impulse Detection
using Renko-like structure and multi-layer Laguerre filters.
Repainting:
Designed to be non-repainting on closed candles.
The underlying Risk Management engine is built around previous-bar data (close , high , low ) for execution-critical logic.
Intrabar values can move while the bar is forming (normal for any advanced signal), but once a bar closes, the alert logic is stable.
Recommended Alert Settings:
Condition: one of the built-in signals (see section 3.B)
Options: “Once Per Bar Close” is strongly recommended for automation
Message: JSON, CSV, or simple tokens – whatever your webhook / relay expects
3. Detailed Report: How the Alerts Edition Works
A. Relationship to the Strategy Version
The Alerts Edition shares the same internal logic as the strategy version:
Same Adaptive Lookback and volatility normalization
Same Range and Close Range construction
Same Renko Brick Emulator and directional memory (renkoDir)
Same Fib structures, Laguerre stack, K-Means SuperTrend, and Baseline signals (B1, B2)
Same Risk Management Engine and layered exits
In the strategy script, these signals are wired into strategy.entry, strategy.exit, and strategy.close.
In the alerts script:
We still compute the final entry/exit signals (Fin, CloseEmAll, TakeProfit1Plot, etc.)
Instead of placing trades, we:
Plot them for visual inspection
Expose them via alertcondition(...) so that TradingView can fire alerts.
This ensures that:
If you use the same settings on the same symbol/timeframe, the Alerts Edition and Strategy Edition agree on where entries and exits occur.
(Subject only to normal intrabar vs. bar-close differences.)
B. Signals & Alert Conditions
The alerts script focuses on discrete, automation-friendly events.
Internally, the main signals are:
Fin – Final entry decision from the RM engine
CloseEmAll – RM-driven “hard close” signal (for full-position exits)
TakeProfit1Plot / 2Plot / 3Plot – One-time event markers when each TP stage is hit
On the chart (in the separate indicator pane), you get:
plot(Fin) – where:
+2 = Long Entry event
-2 = Short Entry event
plot(CloseEmAll) – where:
+1 = “Close Long” event
-1 = “Close Short” event
plot(TP1/TP2/TP3) (if Staged TP is enabled) – integer tags for TP hits:
+1 / +2 / +3 = TP1 / TP2 / TP3 for Longs
-1 / -2 / -3 = TP1 / TP2 / TP3 for Shorts
The corresponding alertconditions are:
Long Entry
alertcondition(Fin == 2, title="Long Entry", message="Long Entry Triggered")
Fire this to open/scale a long position in your bot.
Short Entry
alertcondition(Fin == -2, title="Short Entry", message="Short Entry Triggered")
Fire this to open/scale a short position.
Close Long
alertcondition(CloseEmAll == 1, title="Close Long", message="Close Long Triggered")
Fire this to fully exit a long position.
Close Short
alertcondition(CloseEmAll == -1, title="Close Short", message="Close Short Triggered")
Fire this to fully exit a short position.
TP 1 Hit
alertcondition(TakeProfit1Plot != 0, title="TP 1 Hit", message="TP 1 Level Reached")
First staged take profit hit (either long or short). Your bot can interpret the direction based on position state or message tags.
TP 2 Hit
alertcondition(TakeProfit2Plot != 0, title="TP 2 Hit", message="TP 2 Level Reached")
TP 3 Hit
alertcondition(TakeProfit3Plot != 0, title="TP 3 Hit", message="TP 3 Level Reached")
Together, these give you a complete trade lifecycle:
Open Long / Short
Optionally scale out via TP1/TP2/TP3
Close remaining via Close Long / Close Short
All while the Risk Management Engine enforces the same logic as the strategy version.
C. Using This Script for Automation
This Alerts Edition is designed for:
Webhook-based bots
Execution relays (e.g., your own Lynx-Relay-style engine)
Dedicated external trade managers
Typical setup flow:
Add the script to your chart
Same symbol, timeframe, and settings you use in the Strategy Edition backtests.
Configure Inputs:
Longs / Shorts enabled
Risk Management toggles (SL, TS, Staged TP, AATS, RSIS)
Weekend filter (if you do not want weekend trades)
RBR-specific knobs (Adaptive Lookback, Brick type, ATR vs Standard Brick, etc.)
Create Alerts for Each Event Type You Need:
Long Entry
Short Entry
Close Long
Close Short
TP1 / TP2 / TP3 (optional, if your bot handles partial closes)
For each:
Condition: the corresponding alertcondition
Option: “Once Per Bar Close” is strongly recommended
Message:
You can use structured JSON or a simple token set like:
{"side":"long","event":"entry","symbol":"{{ticker}}","time":"{{timenow}}"}
or a simpler text for manual trading like:
LONG ENTRY | {{ticker}} | {{interval}}
Wire Up Your Bot / Relay:
Point TradingView’s webhook URL to your execution engine
Parse the messages and map them into:
Exchange
Symbol
Side (long/short)
Action (open/close/partial)
Size and risk model (this script does not position-size for you; it only signals when, not how much.)
Because the alerts come from a non-repainting, RM-backed engine that you’ve already validated via the Strategy Edition, you get a much cleaner automation pipeline.
D. Repainting Protection (Alerts Edition)
The same protections as the Strategy Edition apply here:
Execution-critical logic (trailing stop, TP triggers, SL, RM state changes) uses previous bar OHLC:
open , high , low , close
No security() with lookahead or future-bar dependencies.
This means:
Alerts are designed to fire on states that would have been visible at bar close, not on hypothetical “future history.”
Important practical note:
Intrabar: While a bar is forming, internal conditions can oscillate.
Bar Close: With “Once Per Bar Close” alerts, the fired signal corresponds to the final state of the engine for that candle, matching your Strategy Edition expectations.
4. For Developers & Modders
You can treat this Alerts script as an ”RM + Alert Framework” and inject any signal logic you want.
Where to plug in:
Find the section:
// BASELINE & SIGNAL GENERATION
You’ll see how B1 and B2 are built from the RBR stack and then combined:
baseSig = B2
altSig = B1
finalSig = sigSwap ? baseSig : altSig
To use your own logic:
Replace or wrap the code that sets baseSig / altSig with your own conditions:
e.g., RSI, MACD, Heikin Ashi filters, candle patterns, volume filters, etc.
Make sure your final decision is still:
2 → Long / Buy signal
-2 → Short / Sell signal
0 → No trade
finalSig is then passed into the RM engine and eventually becomes Fin, which:
Drives the Long/Short Entry alerts
Interacts with the RM state machine to integrate properly with AATS, SL, TS, TP, etc.
Because this script already exposes alertconditions for key lifecycle events, you don’t need to re-wire alerts each time — just ensure your logic feeds into finalSig correctly.
This lets you use the Signal Lynx Risk Management Engine + Alerts wrapper as a drop-in chassis for your own strategies.
5. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx builds tools and templates that help traders move from:
“I have an indicator” → “I have a structured, automatable strategy with real risk management.”
This Superior-Range Bound Renko – Alerts Edition is the automation-focused companion to the Strategy Edition. It’s designed for:
Traders who backtest with the Strategy version
Then deploy live signals with this Alerts version via webhooks or bots
While relying on the same non-repainting, RM-driven logic
We release this code under the Mozilla Public License 2.0 (MPL-2.0) to support the Pine community with:
Transparent, inspectable logic
A reusable Risk Management template
A reference implementation of advanced adaptive logic + alerts
If you are exploring full-stack automation (TradingView → Webhooks → Exchange / VPS), keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you build improvements or helpful variants, please consider sharing them back with the community.
Super-AO Engine - Sentiment Ribbon - 11-29-25Super-AO Sentiment Ribbon by Signal Lynx
Overview:
The Super-AO Sentiment Ribbon is the visual companion to the Super-AO Strategy Suite.
While the main strategy handles the complex mathematics of entries and risk management, this tool provides a simple "Traffic Light" visual at the top of your chart to gauge the overall health of the market.
How It Works:
This indicator takes the core components of the Super-AO strategy (The SuperTrend and the Awesome Oscillator), calculates the spread between them and the current price, and generates a normalized "Sentiment Score."
Reading the Colors:
🟢 Lime / Green: Strong Upward Momentum. Ideally, you only want to take Longs here.
🟤 Olive / Yellow: Trend is weakening. Be careful with new entries, or consider taking profit.
⚪ Gray: The "Kill Zone." The market is chopping sideways. Automated strategies usually suffer here.
🟠 Orange / Red: Strong Downward Momentum. Ideally, you only want to take Shorts here.
Integration:
This script uses the same default inputs as our Super-AO Strategy Template and Alerts Template. Use them together to confirm your automated entries visually.
About Signal Lynx:
Free Scripts supporting Automation for the Night-Shift Nation 🌙
(www.signallynx.com)
Super-AO with Risk Management Alerts Template - 11-29-25Super-AO with Risk Management: ALERTS & AUTOMATION Edition
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
This is the Indicator / Alerts companion to the Super-AO Strategy.
While the Strategy version is built for backtesting (verifying profitability and checking historical performance), this Indicator version is built for Live Execution.
We understand the frustration of finding a great strategy, only to realize you can't easily hook it up to your trading bot. This script solves that. It contains the exact same "Super-AO" logic and "Risk Management Engine" as the strategy version, but it is optimized to send signals to automation platforms like Signal Lynx, 3Commas, or any Webhook listener.
2. Quick Action Guide (TL;DR)
Purpose: Live Signal Generation & Automation.
Workflow:
Use the Strategy Version to find profitable settings.
Copy those settings into this Indicator Version.
Set a TradingView Alert using the "Any Alert() function call" condition.
Best Timeframe: 4 Hours (H4) and above.
Compatibility: Works with any webhook-based automation service.
3. Why Two Scripts?
Pine Script operates in two distinct modes:
Strategy Mode: Calculates equity, drawdowns, and simulates orders. Great for research, but sometimes complex to automate.
Indicator Mode: Plots visual data on the chart. This is the preferred method for setting up robust alerts because it is lighter weight and plots specific values that automation services can read easily.
The Golden Rule: Always backtest on the Strategy, but trade on the Indicator. This ensures that what you see in your history matches what you execute in real-time.
4. How to Automate This Script
This script uses a "Visual Spike" method to trigger alerts. Instead of drawing equity curves, it plots numerical values at the bottom of your chart when a trade event occurs.
The Signal Map:
Blue Spike (2 / -2): Entry Signal (Long / Short).
Yellow Spike (1 / -1): Risk Management Close (Stop Loss / Trend Reversal).
Green Spikes (1, 2, 3): Take Profit Levels 1, 2, and 3.
Setup Instructions:
Add this indicator to your chart.
Open your TradingView "Alerts" tab.
Create a new Alert.
Condition: Select SAO - RM Alerts Template.
Trigger: Select Any Alert() function call.
Message: Paste your JSON webhook message (provided by your bot service).
5. The Logic Under the Hood
Just like the Strategy version, this indicator utilizes:
SuperTrend + Awesome Oscillator: High-probability swing trading logic.
Non-Repainting Engine: Calculates signals based on confirmed candle closes to ensure the alert you get matches the chart reality.
Advanced Adaptive Trailing Stop (AATS): Internally calculates volatility to determine when to send a "Close" signal.
6. About Signal Lynx
Automation for the Night-Shift Nation 🌙
We are providing this code open source to help traders bridge the gap between manual backtesting and live automation. This code has been in action since 2022.
If you are looking to automate your strategies, please take a look at Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please release them back to the community!
VWAP & EMA9 Cross AlertAlerts when EMA9 and VWAP Cross. This provides an indicator of general market direction based on these 2 indicators.
$TGM | Topological Geometry Mapper (Custom)TGM | Topological Geometry Mapper (Custom) – 2025 Edition
The first indicator that reads market structure the way institutions actually see it: through persistent topological features (Betti-1 collapse) instead of lagging price patterns.
Inspired by algebraic topology and persistent homology, TGM distills regime complexity into a single, real-time proxy using the only two macro instruments that truly matter:
• CBOE:VIX – market fear & convexity
• TVC:DXY – dollar strength & global risk appetite
When the weighted composite β₁ persistence drops below the adaptive threshold → market structure radically simplifies. Noise dies. Order flow aligns. A directional explosion becomes inevitable.
Features
• Structural Barcode Visualization – instantly see complexity collapsing in real time
• Dynamic color system:
→ Neon green = long breakout confirmed
→ red = short breakout confirmed
→ yellow = simplification in progress (awaiting momentum)
→ deep purple = complex/noisy regime
• Clean HUD table with live β₁ value, threshold, regime status and timestamp
• Built-in high-precision alerts (Long / Short / Collapse)
• Zero repaint – uses only confirmed data
• Works on every timeframe and every market
Best used on:
BTC, ETH, ES/NQ, EURUSD, GBPUSD, NAS100, SPX500, Gold – anywhere liquidity is institutional.
This is not another repainted RSI or MACD mashup.
This is structural regime detection at the topological level.
Welcome to the future of market geometry.
Made with love for the real traders.
Open-source. No paywalls. No BS.
#topology #betti #smartmoney #ict #smc #orderflow #regime #institutional
Santhosh Zero lag Trend change AlertThis indicator alert whenever these is a change in trend direction. Change input to match with your Asset/Index. This works well in all time frame, I recommend this for Scalping and Position trading
@Aladdin's Trading Web – Command CenterThe indicator uses standard Pine Script functionality including z-score normalization, standard deviation calculations, percentage change measurements, and request.security calls for multiple predefined symbols. There are no proprietary algorithms, external data feeds, or restricted calculation methods that would require protecting the source code.
Description:
The @Aladdin's Trading Web – Command Center indicator provides a composite market regime assessment through a weighted combination of multiple intermarket relationships. The indicator calculates normalized z-scores across several key market components including banks, volatility, the US dollar, credit spreads, interest rates, and alternative assets.
Each component is standardized using z-score methodology over a user-defined lookback period and combined according to configurable weighting parameters. The resulting composite measure provides a normalized assessment of the prevailing market environment, with the option to invert rate relationships for specific market regime conditions.
The indicator focuses on capturing the synchronized behavior across these interconnected market segments to provide a unified view of systemic market conditions.
Elite Energy Alpha MatrixThe Elite Energy Alpha Matrix indicator provides comprehensive analysis of the energy sector, focusing on the complex relationships between crude oil benchmarks, natural gas, energy-related ETFs, and the performance dynamics across various energy sub-sectors.
The indicator tracks multiple energy price data sources including WTI crude oil, Brent crude, natural gas, and oil ETFs, enabling detailed monitoring of price relationships and divergences within the energy complex.
Key analytical components include:
• Correlation analysis between major energy benchmarks
• Multi-timeframe examination of energy price relationships
• Sector rotation detection within energy sub-sectors including integrated oil majors, exploration and production companies, oilfield services, refiners, pipelines, and renewable energy
• Performance monitoring across different energy market segments
The indicator provides a structured framework for analyzing the internal dynamics of the energy sector, identifying periods of alignment or divergence between different energy price instruments, and monitoring relative performance across energy sub-sectors.
This approach enables users to assess the consistency of price movements across the energy complex and identify situations where different components of the energy market are exhibiting divergent behavior, which can provide insight into the underlying drivers affecting the sector.2.6s
ZY Target TerminatorThe indicator generates trading signals. The profitability displayed on the signal at the time it is generated is the maximum profitability of the trade opened with the preceding signal. Therefore, avoid trading pairs and trends where this ratio is insufficient.
Extended SOPR Indicator - SSOPR Tops (A/B toggle)Extended SOPR Indicator — SSOPR Tops and Lows (A/B toggle)
Observation-only. Data: Glassnode SOPR.
Overview
This indicator extends the classical SOPR (Spent Output Profit Ratio) to improve readability and reduce noise on charts. SOPR measures whether coins moved on-chain were spent at a profit or at a loss. In brief: SOPR > 1 → spending at profit; SOPR < 1 → spending at loss. SSOPR (from "Smoothed SOPR") applies optional log transform (centers baseline at 0), smoothing (standard or adaptive), and adds structured signals: Z‑score lows (capitulation), buy zones , and top detection after prolonged elevation.
Why extend SOPR? (SSOPR vs classical SOPR)
• Noise reduction: Raw daily SOPR can whipsaw around its baseline. SSOPR uses smoothing and (optionally) adaptive smoothing so regimes are visible without overfitting.
• Better readability: The log transform shifts the break-even line to 0, making “profit territory” (above 0) and “loss territory” (below 0) visually intuitive on oscillators.
• Actionable context: Z‑score highlights extreme lows (capitulation risk), a simple buy-zone threshold marks potential accumulation, and a structured top pattern (with a time factor) helps frame distribution phases after sustained elevation.
What the script plots
• Smoothed SOPR (SSOPR): An orange line representing the smoothed SOPR (with optional log transform and optional adaptive smoothing).
• Top markers: A red triangle appears once at the onset of a confirmed top pattern.
• Background shading:
– Soft green: Buy zone when SSOPR falls below the “Buy Threshold.” (+ Z‑score capitulation zones (extreme lows)).
– Soft red: Top‑zone shading when the top criteria are met but before the single triangle fires.
Inputs & parameters
• Smoothing Length (default 14): Base window for smoothing SSOPR. Higher values = smoother, slower response.
• Apply Log Transform (default ON): Uses log(SOPR) so the baseline is 0 (log(1)=0). Above 0 → net profit regime; below 0 → net loss regime.
• Adaptive Smoothing (default OFF): Expands smoothing length as volatility rises using a standard deviation proxy; reduces whipsaws while preserving structure.
• Z‑score Threshold for Lows (default −2.5): Highlights capitulation zones when SSOPR deviates far below its rolling mean.
• SSOPR Buy Threshold (default −0.02): Simple rule-of-thumb level for potential accumulation context when below (log scale).
• SSOPR Top Threshold (default +0.005): Minimum elevation required for “profit territory” when assessing tops (log scale).
• Min Bars Above Threshold Before Top (default 50): Ensures prolonged elevation before calling a top.
• Lookback for Peak Detection (default 50): Window used to locate the recent high.
• Drop % from Peak to Confirm Top (default 5%): Confirms the start of distribution from a local high.
• Highlight Background : Toggles shaded zones.
Top detection (indicator-only)
A top fires when ALL of the following are true:
SSOPR spent at least Min Bars Above Threshold above the Top Threshold (sustained elevation).
The rising phase test passes (Option A or B; see below).
A drop from the local peak exceeds Drop % within the Lookback window.
The peak occurred in profit territory (SSOPR > Top Threshold).
To avoid repeated signals during the decline, the script emits the triangle once, at onset.
Rising‑phase switch: Option A vs Option B
• Option A — Up‑step ratio : Over the last A: Bars for Rising Check (default 50), it requires that at least A: Required Up‑Step Ratio (default 60%) of bars were rising (each bar compared to the previous). This favors gradual, persistent advances and filters out “choppy” lifts.
• Option B — Net slope : Compares current SSOPR to its value B: Bars Back for Net Slope ago (default 50). If higher, the series is considered rising. This is simpler and reacts faster in volatile phases but can admit brief pseudo‑trends.
Guidance : Prefer A for conservative confirmation in slow, persistent cycles; use B when trend moves are strong and you need timely detection.
Interpretation guide
• Regimes (log view): Above 0 → spending at profit; below 0 → spending at loss.
• Capitulation lows: When Z‑score < threshold, conditions often reflect forced/liquidity‑driven spending. Treat as context, not signals.
• Buy zone: SSOPR < Buy Threshold flags potential accumulation conditions (combine with price structure).
• Tops: After prolonged elevation, a confirmed top often coincides with profit‑taking/distribution phases.
Recommended timeframes
• Daily : Code optimized for daily timeframe.
Method summary
• SSOPR source: GLASSNODE:BTC_SOPR (via request.security ).
• Optional log transform: sopr → log(sopr) to normalize around 0.
• Smoothing: SMA over Smoothing Length , optionally adaptive using local volatility (std dev).
• Z‑score: (SSOPR − mean) / std dev, highlighting extreme lows.
• Top: Requires long elevation above Top Threshold , rising‑phase (A/B), and a subsequent drop > Drop % from recent high.
Limitations & notes
• SOPR reflects on‑chain movements; some activity occurs off‑chain (exchanges, internal transfers). Not all moves imply sale; aggregation makes it a usable proxy for profit/loss realization.
• Higher smoothing reduces noise but delays signals; adaptive smoothing can help but is still a trade‑off.
• Treat thresholds as context markers. They are not entry/exit signals by themselves.
• Use with price structure, volume, and other on‑chain indicators (e.g., realized price bands, dormancy/CDD) for confluence.
How to use (examples)
• Advance holding above 0 (log view): Retests of 0 from above that hold—while SSOPR remains elevated—often mark absorption; look for Top conditions only after sustained elevation and a confirmed drop from peak.
• Downtrend below 0: Rejections near 0 can align with continued loss realization; extreme Z‑score lows suggest capitulation risk—context for accumulation, not a blind buy.
Recommended settings
• Weekly: Log ON, Smoothing Length 14–30, Adaptive ON, Buy Threshold −0.02, Top Threshold +0.005, Rising Method A, Min Bars 50.
• Daily: Log ON, Smoothing Length 14–20, Adaptive OFF or ON (depending on noise), Rising Method B for timely slope checks.
Credits & references
• SOPR metric: Renato Shirakashi; documentation: Glassnode , CryptoQuant , overview: Bitbo .
Disclaimer
This script is for research/education on market behavior. It is not financial advice. Indicators provide context; decisions remain your responsibility.
Tags
bitcoin, btc, on‑chain, sopr, ssopr, glassnode, oscillator, regime, distribution, capitulation
RSI Regimes + Cardwell Sweet SpotsRSI based upon Cardwell principles, with a strength evaluation based upon the ADX, VWAP, velocity of both, and Cardwell RSI principles of a sweet spot of a RSI.
Bitcoin vs. S&P 500 Performance Comparison**Full Description:**
**Overview**
This indicator provides an intuitive visual comparison of Bitcoin's performance versus the S&P 500 by shading the chart background based on relative strength over a rolling lookback period.
**How It Works**
- Calculates percentage returns for both Bitcoin and the S&P 500 (ES1! futures) over a specified lookback period (default: 75 bars)
- Compares the returns and shades the background accordingly:
- **Green/Teal Background**: Bitcoin is outperforming the S&P 500
- **Red/Maroon Background**: S&P 500 is outperforming Bitcoin
- Displays a real-time performance difference label showing the exact percentage spread
**Key Features**
✓ Rolling performance comparison using customizable lookback period (default 75 bars)
✓ Clean visual representation with adjustable transparency
✓ Works on any timeframe (optimized for daily charts)
✓ Real-time performance differential display
✓ Uses ES1! (E-mini S&P 500 continuous futures) for accurate comparison
✓ Fine-tuning adjustment factor for precise calibration
**Use Cases**
- Identify market regimes where Bitcoin outperforms or underperforms traditional equities
- Spot trend changes in relative performance
- Assess risk-on vs risk-off periods
- Compare Bitcoin's momentum against broader market conditions
- Time entries/exits based on relative strength shifts
**Settings**
- **S&P 500 Symbol**: Default ES1! (can be changed to SPX or other indices)
- **Lookback Period**: Number of bars for performance calculation (default: 75)
- **Adjustment Factor**: Fine-tune calibration to match specific data feeds
- **Transparency Controls**: Customize background shading intensity
- **Show/Hide Label**: Toggle performance difference display
**Best Practices**
- Use on daily timeframe for swing trading and position analysis
- Combine with other momentum indicators for confirmation
- Watch for color transitions as potential regime change signals
- Consider using multiple timeframes for comprehensive analysis
**Technical Details**
The indicator calculates rolling percentage returns using the formula: ((Current Price / Price ) - 1) × 100, then compares Bitcoin's return to the S&P 500's return over the same period. The background color dynamically updates based on which asset is showing stronger performance.
Atlas 8 Currency Session Momentum (6H, London)This indicator calculates real-time currency strength for the 8 major currencies (USD, EUR, GBP, JPY, AUD, NZD, CAD, CHF) using a balanced multi-pair engine and a 6-hour momentum reset.
🔍 How it works
The indicator computes the relative strength of each currency by averaging the percentage change of 7 major cross-pairs for each currency.
A currency's value increases when pairs where it is the base appreciate, and decreases when pairs where it is the quote depreciate.
This creates a symmetric and stable strength calculation similar to institutional relative-value models.
🕒 Session-based Momentum Reset
The global trading day is split into 4 × 6-hour blocks:
• 00:00–06:00 Tokyo
• 06:00–12:00 London
• 12:00–18:00 New York
• 18:00–24:00 Late US/Asia pre-open
At each new 6-hour session, all strength lines reset to 0.
This highlights fresh intraday momentum generated by liquidity transitions between sessions.
🎯 What the indicator shows
• Relative strength of all 8 currencies
• Smooth momentum curves using EMA smoothing
• Vertical dividers at each new session
• Background color for each session
• Real intraday build-up of strength/weakness (not cumulative from previous day)
This tool is designed for intraday traders who follow cross-currency momentum during session transitions (Tokyo → London → NY).
🧭 How to use it
• Look for the strongest vs weakest currency after each session reset
• Identify fresh trends during London and NY opens
• Confirm currency-pair bias using strength divergence
• Track momentum exhaustion when lines flatten or converge
Multi-Ticker Anchored CandlesMulti-Ticker Anchored Candles (MTAC) is a simple tool for overlaying up to 3 tickers onto the same chart. This is achieved by interpreting each symbol's OHLC data as percentages, then plotting their candle points relative to the main chart's open. This allows for a simple comparison of tickers to track performance or locate relationships between them.
> Background
The concept of multi-ticker analysis is not new, this type of analysis can be extremely helpful to get a gauge of the over all market, and it's sentiment. By analyzing more than one ticker at a time, relationships can often be observed between tickers as time progresses.
While seeing multiple charts on top of each other sounds like a good idea...each ticker has its own price scale, with some being only cents while others are thousands of dollars.
Directly overlaying these charts is not possible without modification to their sources.
By using a fixed point in time (Period Open) and percentage performance relative to that point for each ticker, we are able to directly overlay symbols regardless of their price scale differences.
The entire process used to make this indicator can be summed up into 2 keywords, "Scaling & Anchoring".
> Scaling
First, we start by determining a frame of reference for our analysis. The indicator uses timeframe inputs to determine sessions which are used, by default this is set to 1 day.
With this in place, we then determine our point of reference for scaling. While this could be any point in time, the most sensible for our application is the daily (or session) open.
Each symbol shares time, therefore, we can take a price point from a specified time (Opening Price) and use it to sync our analysis over each period.
Over the day, we track the percentage performance of each ticker's OHLC values relative to its daily open (% change from open).
Since each ticker's data is now tracked based on its opening price, all data is now using the same scale.
The scale is simply "% change from open".
> Anchoring
Now that we have our scaled data, we need to put it onto the chart.
Since each point of data is relative to it's daily open (anchor point), relatively speaking, all daily opens are now equal to each other.
By adding the scaled ticker data to the main chart's daily open, each of our resulting series will be properly scaled to the main chart's data based on percentages.
Congratulations, We have now accurately scaled multiple tickers onto one chart.
> Display
The indicator shows each requested ticker as different colored candlesticks plotted on top of the main chart.
Each ticker has an associated label in front of the current bar, each component of this label can be toggled on or off to allow only the desired information to be displayed.
To retain relevance, at the start of each session, a "Session Break" line is drawn, as well as the opening price for the session. These can also be toggled.
Note: The opening price is the opening price for ALL tickers, when a ticker crosses the open on the main chart, it is crossing its own opening price as well.
> Examples
In the chart below, we can see NYSE:MCD NASDAQ:WEN and NASDAQ:JACK overlaid on a NASDAQ:SBUX chart.
From this, we can see NASDAQ:JACK was the top gainer on the day. While this was the case, it also fell roughly 4% from its peak near lunchtime. Unlike the top gainer, we can see the other 3 tickers ended their day near their daily high.
In the explanations above, the daily timeframe is used since it is the default; however, the analysis is not constrained to only days. The anchoring period can be set to any timeframe period.
In the chart below, you can observe the Daily, Weekly, and Monthly anchored charts side-by-side.
This can be used on all tickers, timeframes, and markets. While a typical application may be comparing relevant assets... the script is not limited.
Below we have a chart tracking COMEX:GCV2026 , FX:EURUSD , and COINBASE:DOGEUSD on the AMEX:SPY chart.
While these tickers are not typically compared side-by-side, here it is simply a display of the capabilities of the script.
Enjoy!
Coach Cardave (Empowerment) — Strat Combos + Failed 2UP/2DOWN Strat combos and failed 2UP/2DOWN reversals, plus 1/3-3/1 showing how Coach Cardave times high-probability entries using liquidity, multi-timeframe analysis, and momentum shifts.
By using you’ll understand how failed 2s flip the script, convert traps into opportunity, and produce the “Small Bags Daily → Big Bags Weekly” consistency that defines the Empowerment trading style.
Nifty Participants - Top 10 📌 Nifty Participants – Top 10 (Indicator Description)
This indicator displays the top 10 weighted stocks from the NIFTY index and shows how each stock is contributing to the index movement in real time.
For each participant, the script calculates price change, percentage change, RSI, VWAP position, volume spike, previous day levels, and their estimated participation based on weightage.
A dynamic table is plotted on the chart with color-coded cells for bullish, bearish, and neutral conditions. Users can customize which columns to display (LTP, Change, Change %, Share, RSI, VWAP, Volume Spike, Previous Day High/Low) and select the timeframe for calculations. The index itself appears as the first row for quick comparison.
Volume spikes are highlighted when current volume exceeds a configurable multiple of the average volume. RSI and VWAP columns also use adaptive coloring to quickly show strength or weakness.
All weightages are user-editable, and the table automatically limits output to the selected number of rows. This makes it an ideal real-time market breadth and contribution tracker for intraday and positional traders.
Technology Stocks RSPSTechnology Stocks RSPS Indicator - TradingView Description
Overview
The Technology Stocks RSPS (Relative Strength Portfolio System) indicator is a sophisticated portfolio allocation tool designed specifically for technology sector stocks. It calculates relative strength positions and provides dynamic allocation recommendations based on technical price momentum analysis.
Key Features
- Relative Strength Analysis: Compares 15 major technology stocks and the XLK sector ETF
against each other and gold as a baseline
- Dynamic Portfolio Allocation: Automatically calculates optimal position sizes based on relative
performance
- Visual Portfolio Performance: Tracks cumulative portfolio returns with color-coded
performance indicators
- Customizable Table Display: Shows real-time allocation percentages and optional cash values
for each position
- Technical Momentum Filtering: Uses normalized indicators to identify strength and filter out
weak positions
Included Assets
Sector ETF: XLK
Major Tech Stocks: AAPL, MSFT, NVDA, AVGO, CRM, ORCL, CSCO, ADBE, ACN, AMD, IBM, INTC, NOW, TXN
Benchmark: Gold (TVC:GOLD)
How It Works
The indicator calculates a relative strength score for each asset by comparing it against:
Gold (baseline commodity)
All other technology stocks in the pool
The XLK sector ETF
Assets with positive relative strength receive portfolio allocations proportional to their strength scores. Weak or negative performers are automatically filtered out (allocated 0%).
Visual Elements
Red Area: Aggregate strength of major technology stocks
Navy Blue Area: Overall technical positioning index (TPI)
Performance Line: Cumulative portfolio return (blue = cash-heavy, red = equity-heavy)
Allocation Table: Bottom-left display showing current recommended positions
Important Limitations
This indicator primarily uses technical data and has significant limitations:
❌ No fundamental economic data (ISM, CLI, etc.)
❌ Limited monetary data - missing critical components:
comprehensive monetary data
Funding rates
Detailed bond spreads analysis
Collateral data
❌ No sentiment indicators
❌ No options flow or derivatives data
❌ No earnings or valuation metrics
The indicator focuses purely on price-based relative strength and technical momentum. Users should combine this tool with fundamental analysis, economic data, and proper risk management for complete investment decisions.
Settings
Plot Table: Toggle allocation table visibility
Use Cash: Enable to display dollar amounts based on portfolio size
Cash Amount: Set your total portfolio value for cash allocation calculations
Use Cases
Sector rotation within technology stocks
Relative strength-based portfolio rebalancing
Technical momentum screening for tech sector
Dynamic position sizing based on price trends
Technical Notes
The script avoids for-loops to reduce calculation errors and noise
Uses semi-individual calculations for each asset
Requires the Unicorpus/NormalizedIndicators/1 library for normalized momentum calculations
Maximum lookback: 100 bars
Disclaimer: This indicator is a technical tool only and should not be used as the sole basis for investment decisions. It does not incorporate fundamental, economic, or comprehensive monetary data. Always conduct thorough research and consider your risk tolerance before making investment decisions.
Market Sentiment [NeuraAlgo]
Market Sentiment
This indicator provides a real-time view of market momentum and sentiment by analyzing bullish and bearish impulses using price and volatility-based calculations. It visualizes trends on the chart and offers a dashboard with key statistics.
1.Status Calculation
The Status measures bullish momentum by identifying strong upward impulses.
Equation:
Status Source = Average of lows where(Low - High ) > ATR
For each bar, it checks if the current low minus the high from two bars ago exceeds the Average True Range (ATR) .
All lows that satisfy this condition are collected.
The average of these lows forms the Status Source , representing the level of strong buying pressure.
This helps traders visualize where significant bullish activity is concentrated and gauge upward momentum.
2.Status Source Calculation
Similarly, bearish impulses are detected by checking if highs fall below lows from two bars ago beyond ATR thresholds. The corresponding levels form the reference for selling pressure.
3. Trend Strength and States
Strength is Quantifies how far the price is from bullish or bearish reference levels as a percentage.
Trend States
Stability Phase (Gray): Market is quiet, minimal momentum.
Positive Flow (Green): Bullish pressure dominates; buyers are in control.
Negative Flow (Red): Bearish pressure dominates; sellers lead.
State Transition: Market is shifting; momentum is building.
4. Visuals
Bar colors indicate trend state: green for bullish, red for bearish, gray for neutral.
Filled zones highlight bullish and bearish reference levels for intuitive trend analysis.
5. Dashboard
An optional dashboard displays:
Sentiment: Visual gradient representing bullish or bearish dominance.
Status: Current trend state in concise, human-readable terms.
6. Purpose:
This indicator is designed to identify the current market status and the behavior of the asset by analyzing bullish and bearish impulses. It helps traders understand whether the market shows signs of stability, growth, or decline based on the asset’s price action and volatility.
Understand the asset behavior
Healthy asset behavior
Weak asset behavior
Market Sentiment combines price action, ATR-based volatility, and impulse tracking to provide a clear and actionable view of market conditions. The BullLine equation ensures that only meaningful bullish moves are highlighted, giving traders a reliable reference for momentum and potential entry points.
Gold Thai CompassGold Thai Compass Indicator
Calculates Thai Gold Price (96.5%) by converting XAU/USD with the USD/THB exchange rate in real time
Displays the calculated gold_price_thb directly on the chart with a clean right-aligned label for easy price reading
Includes customizable reference lines — add, remove, rename, recolor, and adjust each line independently
Supports multiple editable lines (e.g., 4 levels) with price labels displayed beside each line
Provides user-friendly input settings (e.g., custom price sources, spread/adjustment options)
Updates dynamically with live market data — suitable for trading, analysis, and Thai gold price tracking
Designed for TradingView (Pine Script) and optimized for clarity and usability
Optional visibility controls to show/hide labels and reference lines for a cleaner chart layout
Dimagi72 Trend Suite (EMA/SMA + 52W + Cross Signals)Dimagi72 Trend Suite is an advanced trend analysis tool designed to give traders a clear picture of market direction, momentum, and major structural turning points.
It combines the most reliable long-term and short-term signals into one clean, easy-to-read indicator.
Features
• EMA9 & EMA21 for short-term momentum
• SMA50, SMA100, SMA200 for medium & long-term trend structure
• 52-Week High & Low levels for institutional support/resistance
• Golden Cross / Death Cross signals (SMA50 vs SMA200)
• Trend Strength Meter, shown directly on the chart
• Clean labels without clutter
• Designed for crypto, stocks, and forex on all timeframes (best on Daily)
How it works
The indicator measures alignment between EMAs and SMAs, tracks long-term institutional levels, and highlights major trend reversals through cross signals.
The Trend Strength Meter calculates a score from -4 to +4, making trend direction instantly visible.
Why use this indicator
This suite brings together the most widely used trend-following tools into one unified system.
It helps traders quickly determine when the market is bullish, bearish, or neutral — and when major reversals may be forming.
Best for:
Swing traders, long-term trend followers, crypto traders, and anyone who wants a clean visual overview of the trend without using multiple separate indicators.
Tags (use these to show up in search)
trend
ema
sma
trend-following
golden cross
death cross
momentum
trend strength
52 week high
crypto
stocks
market structure
