Math by Thomas - SMC OB + FVG📄 Description
This script is designed for traders following the Smart Money Concepts (SMC) methodology. It automatically detects:
✅ Bullish and Bearish Order Blocks (OBs) based on structural breakouts, displacement, and volume conditions.
✅ Fair Value Gaps (FVGs) using a 3-candle price imbalance model.
🔄 Both OBs and FVGs clean up dynamically when invalidated by price action.
Built with institutional logic, this tool helps identify areas of interest for potential reversals, liquidity grabs, or mitigation plays.
⚙️ How It Works
🔷 Order Blocks (OB)
A Bullish OB is marked after a Break of Structure (BOS) to the upside.
A Bearish OB is marked after BOS to the downside.
Filters like displacement candle and volume spike can be toggled in settings.
Boxes are drawn from the opposing candle in the move, and will disappear once broken or expired.
🟥 Fair Value Gaps (FVG)
FVGs are detected when the middle candle leaves a price imbalance between the first and third candle.
Zones are marked with transparent boxes.
Labels (FVG) appear only once every 20 bars to reduce clutter.
Gaps are removed only after a full candle closes through the zone (conservative logic).
🛠️ User Settings
Choose volume multiplier and ATR period for OB displacement logic.
Set box extension, label transparency, and cleanup behavior.
Full control over colors and midline display.
📈 How to Use
Apply the indicator to any chart (works best on indices, forex, crypto).
Use OBs as points of interest for potential reaction zones or mitigation setups.
Use FVGs to identify imbalances that may attract price.
Watch for confluence between OBs and FVGs for high-probability entries.
📚 Best Practice
Use on 15m–1h timeframe for clean structure.
Align with higher TF bias for direction.
Combine with liquidity sweeps, EQH/EQL, or breaker blocks for refinement.
Educational
Turtle God IndicatorThe Turtle God indicator displays a turtle icon 🐢 on the most recent candle only, helping traders track current candle behavior at a glance.
✅ Green Turtle above the candle if it’s bullish (close > open)
🔻 Red Turtle below the candle if it’s bearish (close < open)
📌 Only the latest candle is marked — no historical clutter
This tool is useful for:
Live price action observation
Real-time signal overlays
Clean chart setups with dynamic candle feedback
Setup Score OscillatorSetup Score Oscillator – Full Description
🎯 Purpose of the Script
This script is a manual trading setup scoring tool, designed to help traders quantify the quality of a trade setup by combining multiple technical, cyclical, and contextual signals.
Instead of relying on a single indicator, the trader manually selects which signals are present, and the script calculates a total score (0–100%), displayed as an oscillator in a separate panel (like RSI or MACD).
🔧 How it works in practice
1. Manual signal inputs
The script presents a set of checkboxes in the settings, where the trader can enable/disable the following signals:
✅ Confirmed Support/Resistance
✅ Aligned Volume Profile
✅ Favorable Cyclic Timing
✅ Valid Trend Line
✅ Aligned Cyclical Moving Averages
✅ Relevant Fibonacci Level
✅ Classic Volume Signal (spike, dry-up, etc.)
✅ Oscillator confirmation (e.g., divergences)
✅ Extreme Sentiment
✅ Relevant or incoming News
Each selected signal contributes to the total score based on its weight.
2. Scoring system
Each signal has a default weight (e.g., 20% for support/resistance, 15% for cycles, etc.).
Optionally, the trader can enable the “custom weights” checkbox and adjust each signal’s weight directly in the settings.
3. Score visualization
The final score (sum of all active weights) is plotted as an oscillator ranging from 0 to 100%, with dynamic coloring:
Range Color Meaning
0–39% Red No valid setup
40–54% Yellow Watchlist only
55–69% Orange Good setup
70–100% Green Strong setup
Several horizontal threshold lines are displayed:
50% → neutral threshold
40%, 55%, 70% → operational levels
4. Optional background coloring
When the score exceeds 55% or 70%, the oscillator background lightly changes color to highlight stronger setups (non-intrusive).
📌 Practical benefits
Objectifies subjective analysis: each decision becomes a number.
Prevents overtrading: no entries if the score is too low.
Adaptable to any trading style: swing, intraday, positional.
User-friendly: no coding needed – just tick boxes.
Italiano:
Setup Score Oscillator – Descrizione completa
🎯 Obiettivo dello script
Lo script è uno strumento manuale di valutazione dei setup di trading, pensato per aiutare il trader a quantificare la qualità di un'opportunità operativa basandosi su più segnali tecnici, ciclici e contestuali.
Invece di affidarsi a un solo indicatore, il trader seleziona manualmente quali segnali sono presenti, e lo script calcola un punteggio complessivo percentuale (0–100%), rappresentato come oscillatore in una finestra separata (tipo RSI, MACD, ecc.).
🔧 Come funziona operativamente
1. Input manuale dei segnali
Lo script mostra una serie di checkbox nelle impostazioni, dove il trader può attivare o disattivare i seguenti segnali:
✅ Supporto/Resistenza confermata
✅ Volume Profile allineato
✅ Cicli o timing favorevole
✅ Trend line valida
✅ Medie mobili cicliche allineate
✅ Livello di Fibonacci rilevante
✅ Volume classico significativo (spike, dry-up)
✅ Conferme da oscillatori (es. divergenze)
✅ Sentiment estremo (es. euforia o panico)
✅ News importanti imminenti o appena uscite
Ogni casella attiva contribuisce al punteggio totale, con un peso specifico.
2. Sistema di punteggio
Ogni segnale ha un peso predefinito (es. 20% per supporti/resistenze, 15% per cicli, ecc.).
Facoltativamente, il trader può attivare la funzione “Enable custom weights” per personalizzare i pesi di ciascun segnale direttamente da input.
3. Visualizzazione del punteggio
Il punteggio complessivo (somma dei pesi attivati) viene tracciato come oscillatore da 0 a 100%, con colori dinamici:
Range Colore Significato
0–39% Rosso Nessun setup valido
40–54% Giallo Osservazione
55–69% Arancione Setup buono
70–1005 Verde Setup forte
Sono tracciate anche delle linee guida orizzontali a:
50% → soglia neutra
40%, 55%, 70% → soglie operative
4. Colorazione dello sfondo (facoltativa)
Quando il punteggio supera 55% o 70%, lo sfondo dell’oscillatore cambia leggermente colore per evidenziare il segnale (non invasivo).
📌 Vantaggi pratici
Oggettivizza l’analisi soggettiva: ogni decisione manuale si trasforma in un numero.
Evita overtrading: se il punteggio è troppo basso, non si entra.
Adattabile a ogni stile: swing, intraday, position.
Facile da usare anche senza codice: basta spuntare le caselle.
Magnificent 7 OscillatorThe Magnificent 7 Oscillator is a sophisticated momentum-based technical indicator designed to analyze the collective performance of the seven largest technology companies in the U.S. stock market (Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta). This indicator incorporates established momentum factor research and provides three distinct analytical modes: absolute momentum tracking, equal-weighted market comparison, and relative performance analysis. The tool integrates five different oscillator methodologies and includes advanced breadth analysis capabilities.
Theoretical Foundation
Momentum Factor Research
The indicator's foundation rests on seminal momentum research in financial markets. Jegadeesh and Titman (1993) demonstrated that stocks with strong price performance over 3-12 month periods tend to continue outperforming in subsequent periods¹. This momentum effect was later incorporated into formal factor models by Carhart (1997), who extended the Fama-French three-factor model to include a momentum factor (UMD - Up Minus Down)².
The momentum calculation methodology follows the academic standard:
Momentum(t) = / P(t-n) × 100
Where P(t) is the current price and n is the lookback period.
The focus on the "Magnificent 7" stocks reflects the increasing market concentration observed in recent years. Fama and French (2015) noted that a small number of large-cap stocks can drive significant market movements due to their substantial index weights³. The combined market capitalization of these seven companies often exceeds 25% of the total S&P 500, making their collective momentum a critical market indicator.
Indicator Architecture
Core Components
1. Data Collection and Processing
The indicator employs robust data collection with error handling for missing or invalid security data. Each stock's momentum is calculated independently using the specified lookback period (default: 14 periods).
2. Composite Oscillator Calculation
Following Fama-French factor construction methodology, the indicator offers two weighting schemes:
- Equal Weight: Each active stock receives identical weighting (1/n)
- Market Cap Weight: Reserved for future enhancement
3. Oscillator Transformation Functions
The indicator provides five distinct oscillator types, each with established technical analysis foundations:
a) Momentum Oscillator (Default)
- Pure rate-of-change calculation
- Centered around zero
- Direct implementation of Jegadeesh & Titman methodology
b) RSI (Relative Strength Index)
- Wilder's (1978) relative strength methodology
- Transformed to center around zero for consistency
- Scale: -50 to +50
c) Stochastic Oscillator
- George Lane's %K methodology
- Measures current position within recent range
- Transformed to center around zero
d) Williams %R
- Larry Williams' range-based oscillator
- Inverse stochastic calculation
- Adjusted for zero-centered display
e) CCI (Commodity Channel Index)
- Donald Lambert's mean reversion indicator
- Measures deviation from moving average
- Scaled for optimal visualization
Operational Modes
Mode 1: Magnificent 7 Analysis
Tracks the collective momentum of the seven constituent stocks. This mode is optimal for:
- Technology sector analysis
- Growth stock momentum assessment
- Large-cap performance tracking
Mode 2: S&P 500 Equal Weight Comparison
Analyzes momentum using an equal-weighted S&P 500 reference (typically RSP ETF). This mode provides:
- Broader market momentum context
- Size-neutral market analysis
- Comparison baseline for relative performance
Mode 3: Relative Performance Analysis
Calculates the momentum differential between Magnificent 7 and S&P 500 Equal Weight. This mode enables:
- Sector rotation analysis
- Style factor assessment (Growth vs. Value)
- Relative strength identification
Formula: Relative Performance = MAG7_Momentum - SP500EW_Momentum
Signal Generation and Thresholds
Signal Classification
The indicator generates three signal states:
- Bullish: Oscillator > Upper Threshold (default: +2.0%)
- Bearish: Oscillator < Lower Threshold (default: -2.0%)
- Neutral: Oscillator between thresholds
Relative Performance Signals
In relative performance mode, specialized thresholds apply:
- Outperformance: Relative momentum > +1.0%
- Underperformance: Relative momentum < -1.0%
Alert System
Comprehensive alert conditions include:
- Threshold crossovers (bullish/bearish signals)
- Zero-line crosses (momentum direction changes)
- Relative performance shifts
- Breadth Analysis Component
The indicator incorporates market breadth analysis, calculating the percentage of constituent stocks with positive momentum. This feature provides insights into:
- Strong Breadth (>60%): Broad-based momentum
- Weak Breadth (<40%): Narrow momentum leadership
- Mixed Breadth (40-60%): Neutral momentum distribution
Visual Design and User Interface
Theme-Adaptive Display
The indicator automatically adjusts color schemes for dark and light chart themes, ensuring optimal visibility across different user preferences.
Professional Data Table
A comprehensive data table displays:
- Current oscillator value and percentage
- Active mode and oscillator type
- Signal status and strength
- Component breakdowns (in relative performance mode)
- Breadth percentage
- Active threshold levels
Custom Color Options
Users can override default colors with custom selections for:
- Neutral conditions (default: Material Blue)
- Bullish signals (default: Material Green)
- Bearish signals (default: Material Red)
Practical Applications
Portfolio Management
- Sector Allocation: Use relative performance mode to time technology sector exposure
- Risk Management: Monitor breadth deterioration as early warning signal
- Entry/Exit Timing: Utilize threshold crossovers for position sizing decisions
Market Analysis
- Trend Identification: Zero-line crosses indicate momentum regime changes
- Divergence Analysis: Compare MAG7 performance against broader market
- Volatility Assessment: Oscillator range and frequency provide volatility insights
Strategy Development
- Factor Timing: Implement growth factor timing strategies
- Momentum Strategies: Develop systematic momentum-based approaches
- Risk Parity: Use breadth metrics for risk-adjusted portfolio construction
Configuration Guidelines
Parameter Selection
- Momentum Period (5-100): Shorter periods (5-20) for tactical analysis, longer periods (50-100) for strategic assessment
- Smoothing Period (1-50): Higher values reduce noise but increase lag
- Thresholds: Adjust based on historical volatility and strategy requirements
Timeframe Considerations
- Daily Charts: Optimal for swing trading and medium-term analysis
- Weekly Charts: Suitable for long-term trend analysis
- Intraday Charts: Useful for short-term tactical decisions
Limitations and Considerations
Market Concentration Risk
The indicator's focus on seven stocks creates concentration risk. During periods of significant rotation away from large-cap technology stocks, the indicator may not represent broader market conditions.
Momentum Persistence
While momentum effects are well-documented, they are not permanent. Jegadeesh and Titman (1993) noted momentum reversal effects over longer time horizons (2-5 years).
Correlation Dynamics
During market stress, correlations among the constituent stocks may increase, reducing the diversification benefits and potentially amplifying signal intensity.
Performance Metrics and Backtesting
The indicator includes hidden plots for comprehensive backtesting:
- Individual stock momentum values
- Composite breadth percentage
- S&P 500 Equal Weight momentum
- Relative performance calculations
These metrics enable quantitative strategy development and historical performance analysis.
References
¹Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91.
Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82.
Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22.
Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
Intraday VWAP + Supertrend + RSI StrategyBased on Intraday VWAP + Supertrend + RSI Strategy
works fine
Disguised Candles by The School of Dalal StreetDisguised Candles corrects one of the subtle visual distortions present in normal candlestick charts — the mismatch between the close of one candle and the open of the next.
On many instruments (especially at day/session breaks), the next candle’s open often jumps due to price gaps or data feed behavior. This can make reading the flow of price action harder than necessary.
Disguised Candles fixes this by plotting synthetic candles where the open of each candle is forced to match the close of the previous one — creating a visually continuous flow of price.
Real candles are made fully transparent, so only the "corrected" candles are visible.
This allows traders to:
Visualize price flow as a smooth path
Better spot true directional shifts and trends
Avoid distractions caused by technical gaps that are not meaningful to their strategy
🚀 Pure visual clarity. No noise from false opens.
How it works:
The open of each synthetic candle = close of previous real candle
High, Low, Close remain unchanged
Colors are based on Close vs Corrected Open
Real chart candles are hidden under a transparent overlay
Use this as a clean canvas for trend analysis or as a foundation for building new visual systems.
Price Difference IndicatorSimply calculate the difference between two products.
You can customize and set two different products.
Intraday Volume by Saurabh Maggoinspired by volume indicator by nitin
Key Features
Dynamic Volume Visualization: Features thicker volume bars with color-coded insights—grey for normal volume (0.5x-1.5x baseline), orange for low volume (<0.5x), blue for Intraday Pocket Pivots (IPP), green for high up volume, and red for high down volume.
Snort Signals: Identifies strong moves with green Bull Snorts (below bars) and red Bear Snorts (above bars), triggered by volume exceeding 2.0x the baseline with significant price action.
Highest/Lowest Volume Markers: Blue squares mark the highest volume bar, and a single orange square marks the first lowest volume bar, aiding trend identification.
Enhanced Table Metrics: A 2x3 table displays Trend Strength (TS, green >100%, red <100%), Buy/Sell Signal (BS, green "Buy", red "Sell", grey "Neutral"), and Net Pressure (NP, green >0%, red <0%), offering a comprehensive view of volume and price pressure, reset daily at 9:15 AM IST.
Holy Grail (100% Win Rate)tldr:
1. Here you go folks – no repaint, no dodgy stuff, and 100% win rate
2. DO NOT TRADE THIS
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Key points:
• Assets to trade: SPY, NASDAQ, DAX, FTSE, Bitcoin
• Time Frame: 1D or higher
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What does the script do?
The script buys a certain amount of the asset every time we're in a pullback, and sells when we make a new All-Time High (ATH). More specifically, it waits for the first green candle after the lowest point of the pullback, and then adds to the position. We assume that when we see a green candle, the pullback is over. If we go even lower – we wait for another green candle. The script sells on the first red candle after an ATH.
The pullback is identified using a simple moving average (MA) – if we're below the MA, we're in a pullback.
You can set the MA length in the settings. I considered adding different types of MAs, but decided against it as it wouldn't change much in terms of the general idea.
You can also set the percentage of your account to invest on the very first candle – this is an initial pre-filling of the position, so you have something to sell if the price goes straight up after you start trading. If you think we’re in a bear market and the only way is up, you might want to set a higher number. On the other hand, if you believe we’re near the top of a bull market, set a lower one.
You can set the percentage of the position to sell on each red candle after ATH under Settings → Input → Exit % . Similarly, you can set the percentage to buy on each green candle after a pullback low under Settings → Properties → Order Size . Since bull markets tend to last longer than bear market pullbacks, you’ll typically want Exit % to be larger than Order Size — though this may vary depending on your initial pre-fill.
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Why these assets?
These are assets that are expected to go up over the long run. I call them “number go up” assets. Meaning: no matter where they are now, at some point in the future they’ll make a new ATH. That’s why this might not work on individual stocks like Nvidia or Tesla — there’s no guarantee they won’t go bust tomorrow. We all remember big companies from the past (Enron, Lehman Brothers, etc.) that collapsed unexpectedly.
With SPY, you're betting on the American economy. And the American economy will go up at least because of inflation. If you believe inflation will continue, then you believe we’ll eventually see a new ATH in SPY. It may take years — like from 2007 to 2013 — but it happened. And there was a bull run after that.
And if you think the American economy will never grow again — well, if that’s true, we’ll all have much bigger problems than trading scripts.
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Why this time frame?
Because, as mentioned, it may take a long time to reach a new ATH. You can use a shorter time frame, but that requires a higher TradingView subscription plan to view multi-year data.
Also, if you choose a shorter time frame, you should reduce the Order Size and Exit % accordingly, because the script will jump in on every new green candle after a pullback. On a 1-minute chart, that could mean 100x more entries compared to daily. Conversely, if you go to a higher time frame, increase the sizes — otherwise, too much of your capital will just sit unused.
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So if everything is so great and it has a real 100% win rate – why not trade it?
If you turn on the “buy & hold equity” curve, you’ll see that the profit from all closed trades (with a 100% win rate) is smaller than if you had simply bought the asset and held it for years.
Real-world slippage and fees will reduce your actual profits even more.
If you’re unlucky and start trading at the very top of a bull market, it might take 10 years before even a single trade is closed.
Some assets that seem like they can only go up long-term... might not. Take Bitcoin. Many believe it can only go up in the long term, but it could still die — just like anything else. The only reason I included it is because many people treat it as a “number go up” asset. And I know some will try to trade it. You've been warned. But I don’t want to start holy wars in the holy grail description (pun intended), so let’s move on.
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What if, after all this, you do decide to trade this strategy?
Why would you? Maybe not for profit, but just to impress your friends with a 100% win rate. Or maybe you skipped the entire explanation above and just want to jump in because it sounds like a sure win.
Whatever your reason, first you should research the asset’s historical max time (in years) between ATHs. That’s how long you might need to keep a trade open. My other script – Cycles Analysis – might help with this.
Second, experiment with the input parameters. There aren't many, so it should be easy to find what works best for your asset. You can also enable “Show stats table” in settings – it’ll help you see how many entries/exits the script makes, which will help you find the right Order Size to Exit % ratio.
Yes, this might lead to over-optimization — but hey, if we’re at this stage, who cares, right?
That said, I did find some rare cases where specific parameter setups caused performance to dip below 100% due to a mandatory close at the wrong time.
Also, since trades can last for years, don’t use this with futures — you'd have to keep rolling them over. Use ETFs or similar long-holdable assets.
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The final word
In short, this is a glorified “Buy the Dip” strategy. It only works long-term on a very limited set of assets, and in most cases performs worse than just buying and holding for the same period.
I created this script as a teaching tool — to show new traders that win rate isn’t everything. Even if the win rate is 100%. Trust me: it’s extremely hard to beat the market (especially without leverage), and this script is just more proof of that.
Math by Thomas - SMC Structure Toolkit – OB + FVG + CHoCH/BoS📌 Description:
A complete Smart Money Concepts (SMC) market structure toolkit designed to help traders identify high-probability institutional activity using fractals, order blocks, fair value gaps, and structure shifts.
This tool combines several key SMC components to provide clear, actionable insights for both trend continuation and reversals.
🛠 Key Features:
✅ Order Blocks (OBs): Detected using fractal swing highs/lows, optional high volume & displacement candle filters
✅ Midline OB Visuals: Optional dashed lines drawn through the midpoint of each OB
✅ Fair Value Gaps (FVGs): Auto-detected based on classic gap criteria
✅ CHoCH & BoS Labeling: Real-time swing structure labeling with trend tracking
✅ Premium/Discount Zones: Highlighted zones for optimal entries in trending environments
✅ User Toggles: Turn OBs, FVGs, or midlines on/off for a cleaner chart
📈 How to Use:
Apply the indicator to your chart (best on 15m, 1h, or higher)
Enable/disable features in the settings panel:
Order Blocks: Use with displacement & high volume filters for cleaner setups
FVGs: Spot imbalances between price and liquidity
Structure Labels: Follow BoS/CHoCH signals to track trend changes
Look for:
CHoCH ➝ potential trend reversal
BoS ➝ trend continuation confirmation
OBs within discount/premium zones ➝ high-RR trade setups
Combine with your existing SMC or supply/demand approach
🧪 Best Timeframes:
Recommended: 15m, 1h, 4h, Daily
Works on any timeframe but more reliable with higher volume context
✍️ Notes:
Built using fractal logic and volume filters for cleaner signals
Designed to complement SMC strategies, not replace analysis
Multi Stochastic Alert (No Repeats)This indicator is based on daytraderrockstar strategy , when all the 4 stochastics 9 3. 14 3 , 40 40 and 60 10 are below 20 , the indicator give OS ( over sold ) and when the 4 stochastics are above the 80 line , it give OB ( over bought ) signal . one the signal is generated , look for bullish or bearish divergence
Dual SMA Crossover StrategyDual SMA Crossover Strategy with Advanced Risk Management
This Pine Script strategy utilizes a Dual Simple Moving Average (SMA) Crossover system for identifying trend changes, enhanced with comprehensive money and risk management features.
Strategy Logic
The core of the strategy is based on the interaction of two SMAs: a Fast SMA (default 24 periods) and a Slow SMA (default 48 periods).
Long Entry: Triggered when the Fast SMA crosses above the Slow SMA.
Short Entry: Triggered when the Fast SMA crosses below the Slow SMA.
Exit: Positions are closed when an opposite crossover signal occurs.
All trading decisions are made on the close of the candle to prevent any look-ahead bias, ensuring realistic backtest results.
Key Risk Management Features
Money Management:
Risk Per Trade (%): Defines the maximum percentage of account equity to risk on any single trade (default 2.0%). Position sizing is automatically calculated to ensure this risk limit is not exceeded when the Stop Loss is hit.
Stop Loss (SL):
A fixed Stop Loss (%) (default 0.8%) from the entry price is set immediately upon trade entry to limit potential losses.
Take Profit (TP):
A Risk-Reward Ratio (default 2.0) is used to calculate the Take Profit target. For instance, a 2.0 RRR with a 0.8% SL means a 1.6% TP target.
Advanced Trailing Stop Loss (TSL):
Trailing Stop Start (%): The TSL only activates once the trade reaches a predefined profit percentage (default 1.0%).
Trailing Stop Trail (%): Once activated, the TSL moves to lock in profits by trailing the highest (for long) or lowest (for short) price by a specified percentage (default 0.5%). This ensures that the TSL level never falls below the initial Stop Loss, providing continuous risk protection while allowing for further profit accumulation.
This strategy provides a robust framework for trend-following with built-in risk controls, aiming to protect capital and manage potential gains effectively.
Failed 2 Candle Detector (Highlight)This indicator detects failed 2-bar candles, defined by a close above or below the 50% midpoint of the previous candle.
Zigzag Simple [SCL]🟩 OVERVIEW
Draws zigzag lines from pivot Highs to pivot Lows. You can choose between three different ways of calculating pivots:
• True Highs and Lows
• Williams pivots
• Oscillator pivots
🟩 HOW TO USE
This indicator can be used to understand market structure, which is arguably the primary thing you need to be aware of when trading. The zigzag by itself does not display a market structure bias, nor any information about prices of pivots, HH and HL labels, or anything like that. Nevertheless, a simple zigzag is perhaps the easiest and most intuitive way to understand what price is doing.
Choose a pivot style that you like, customise the colours and line style, and enjoy!
🟩 PIVOT TYPES EXPLAINED
True Highs and Lows
This is not an invention of mine (all credit to my humble mentor), but I haven't seen anyone else code them up. A true High is a close below the low of the candle with the highest high. A true Low is a close above the high of a candle with the lowest low. These are solid, price action-based pivots that can sometimes confirm quickly.
Williams pivots
This is how most people calculate pivots. They're simply the highest high for x bars back and x bars forwards. They're the vanilla of pivots IMO: serviceable but not very interesting. They're very convenient to code because there are built-in Pine functions for them: ta.pivothigh and ta.pivotlow . They confirm a predictable number of bars after they happen, which is great for coding but also makes the trader wait for confirmation.
Oscillator pivots
This is a completely different concept, which uses momentum in order to define pivots. For example, when you get a rise in momentum and momentum then drops a configurable amount, it confirms a pivot high, and vice versa for a pivot low. I don't know if anyone else does it –- although some indicators do mark pivots in momentum itself, and plenty do divergences, I wasn't able to find one that specifically marked *pivots in price* because of pivots in momentum 🤷♂️
Anyway, while this approach needs a whole investigation on its own, here we simply plot some pivots in a smoothed RSI. This indicator doesn't plot the actual momentum values -- for a more visual understanding of how this works, refer to the examples in the OscillatorPivots library.
🟩 UNIQUE ADVANTAGES
In contrast to other zigzag indicators available, this one lets you choose between the standard and some more unique methods of generating the zigzags. Additionally, because it's based on libraries, it is relatively easy for programmers to use as a basis for experimentation.
🟩 GEEK STUFF
Although there is considerable practical use for pivot-based zigzags in trading, this script is primarily a demonstration in coding -- specifically the power of libraries!
Most of the script consists of setup, especially defining inputs. The final section sacrifices some readability for conciseness, simply to emphasise how little code you need when the heavy lifting is done by libraries .
The actual calculations and drawing are achieved in just 8 lines.
The equivalent code in the libraries is ~250 lines long.
All libraries used are my own, public and open-source:
• MarketStructure
• DrawZigZag
• OscillatorPivots
Pionex Signal Bot (Single/Multi Position)Guide: Integrating Your TradingView Strategy with a Signal Bot
This guide provides step-by-step instructions for connecting a TradingView strategy script with a compatible signal bot platform for automated execution, such as Pionex.
This script is based on DCA strategy execution, with the capability of customizable signal indicators by modifying the script section for modularity with minimal adjustments to adapt other source code. The default indicator is the moving average.
You will need an account on a compatible bot execution platform to execute the trades.
You will need a TradingView account with at least an Essential subscription for Alert and Webhook URL access.
A desktop browser is required to access the TradingView Pinescript Editor and the Signal bot configuration page on the execution platform.
1. Configuring the “Signal” on the Bot Execution Platform
Log in to your bot execution platform account (e.g., Pionex).
Navigate to the Futures → Futures Bot → Signal Bot section.
Click on the “Add signal” button and set the name and description for this signal, then click “Confirm.”
Once the signal has been created, directly click on the “I have completed the configuration” and “I have created the alert” buttons on the bot platform.
Signal setup on the bot execution platform has been completed.
2. Add a Strategy Script to the TradingView Chart
Log in to your TradingView account.
Choose the desired trading pair on your integrated exchange, and click the “ Launch chart “ button.
Click “Indicators”, select the Signal bot script you want to use.
Click the “Gear” icon to open the strategy settings, on the “Input” tab, copy the “Message” provided by your bot execution platform into the “Pionex Message” (or equivalent) textbox within the script's inputs.
On the “Properties” settings, refer to the recommended settings as follows:
• Initial capital: Keep this value at "100".
• Base currency: Keep this value at “Default”.
• Order size: 1 ~ 100 USDT. Keep the value within 1 to 100 USDT. 50 USDT may be translated as 50% fund utilization on the execution platform, such as Pionex .
• Pyramiding: 1 ~ any value. This value is for multi-position entry settings.
• Margin for long positions: Keep this value at "0".
• Margin for short positions: Keep this value at "0".
• Other parameters can be ignored as they do not impact the core configuration.
Strategy configuration in the TradingView chart has been completed.
3. Configuring the Strategy Alert on TradingView for Bot Connection
Log in to your TradingView account.
Click on the “Alarm” icon in the upper right corner, and click the “+” icon to create a new alert.
In the “Settings” tab, choose the desired strategy from the list.
Note: The latest configuration will typically be at the bottom of the list and may need to be updated every time there are changes to the strategy “Input” configuration.
In the “Message” tab, keep the value unchanged as the default content.
Note: This variable will produce the necessary JSON code for the trading instruction.
In the “Notification” tab, enable the “Webhook URL” and paste the Webhook URL obtained from your bot execution platform into the “Webhook URL” field in TradingView.
Click the “Create” button to complete the setup, and the alert will appear in the “Alert” list.
Strategy Alert configuration in the TradingView chart has been completed.
4. Creating the Signal Bot on the Execution Platform with the Linked Strategy
Log in to your bot execution platform account (e.g., Pionex).
Navigate to Futures → Futures Bot → Signal Bot.
On the “Signal Bot” page, click the “Automate signal” button to configure the bot settings, and then click the “Create the bot.”
The Signal bot creation on the execution platform has been completed.
5. Checking Signal Transmission Between TradingView and Bot Platform
Log in to your TradingView account.
Click on the “Alarm” icon in the upper right corner, and click the “Log” tab to check the alert history.
Log in to your bot execution platform account (e.g., Pionex).
Click on “Details” for your bot and then navigate to the “Signal Log” tab.
Compare the TradingView Alert log with the bot execution platform's Signal Log to ensure the signals are received properly.
To understand the raw Message content, manual interpretation or platform-specific tools may be required.
6. How to Add Other Indicator into the Strategy Script for the Signal Bot
Log in to your TradingView account.
Obtain the open-source indicator, such as “RSI”, into the TradingView chart, and copy its Pine Script™ source code.
Open the Signal bot strategy script in the Pine Script™ Editor. This script is typically optimized for integration with the bot execution platform.
Paste the custom indicator source code into the specific designated section for custom indicators within the Signal bot strategy script.
Define the conditions for “Long” (buy) and “Short” (sell) entries from your custom indicator into the pre-defined “longCondition” and “shortCondition” variables within the script.
Click the “Add to chart” or “Update on chart” button to complete the script configuration and apply changes to your chart.
Integrating a custom indicator into the strategy script has been completed.
Technical Strength Index (TSI)📘 TSI with Dynamic Bands – Technical Strength Index
The TSI with Dynamic Bands is a multi-factor indicator designed to measure the statistical strength and structure of a trend. It combines several quantitative metrics into a single, normalized score between 0 and 1, allowing traders to assess the technical quality of market moves and detect overbought/oversold conditions with adaptive precision.
🧠 Core Components
This indicator draws from the StatMetrics library, blending:
📈 Trend Persistence: via the Hurst exponent, indicating whether price action is mean-reverting or trending.
📉 Risk-Adjusted Volatility: via the inverted , rewarding smoother, less erratic price movement.
🚀 Momentum Strength: using a combination of directional momentum and Z-score–normalized returns.
These components are normalized and averaged into the TSI line.
🎯 Features
TSI Line: Composite score of trend quality (0 = weak/noise, 1 = strong/structured).
Dynamic Bands: Mean ± 1 standard deviation envelopes provide adaptive context.
Overbought/Oversold Detection: Based on a rolling quantile (e.g. 90th/10th percentile of TSI history).
Signal Strength Bar (optional): Measures how statistically extreme the current TSI value is, helping validate confidence in trade setups.
Dynamic Color Cues: Background and bar gradients help visually identify statistically significant zones.
📈 How to Use
Look for overbought (red background) or oversold (green background) conditions as potential reversal zones.
Confirm trend strength with the optional signal strength bar — stronger values suggest higher signal confidence.
Use the TSI line and context bands to filter out noisy ranges and focus on structured price moves.
⚙️ Inputs
Lookback Period: Controls the smoothing and window size for statistical calculations.
Overbought/Oversold Quantiles: Adjust the thresholds for signal zones.
Plot Signal Strength: Enable or disable the signal confidence bar.
Overlay Signal Strength: Show signal strength in the same panel (compact) or not (cleaner TSI-only view).
🛠 Example Use Cases
Mean reversion traders identifying reversal zones with statistical backing
Momentum/Trend traders confirming structure before entries
Quantitative dashboards or multi-asset screening tools
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument.
This AI is not a financial advisor; please consult your financial advisor for personalized advice.
ADR by Saurabh MaggoADR levels for intraday
This Pine Script v5 indicator plots Average Daily Range (ADR) levels on a 5-minute NSE chart, ideal for intraday traders. It marks key price levels (L3+, L3-, L2+, L2-, L1+, L1-) at 9:15 AM IST each day, based on the daily open and a customizable ATR period.
Features:
Configurable Levels: Adjust ATR period (default 5) and multipliers (L3=0.5, L2=0.25, L1=0.125) to set price targets.
Today Only Option: Toggle Show Recent to display only the current day’s levels or all historical levels.
Visual Customization: Choose vibrant colors for each level via settings, with a glow effect
(toggleable, transparency=20) and adjustable circle size (default 2, range 1–5) for enhanced visibility, optimized for dark chart backgrounds.
Clean Design: Single-point plotting at 9:15 AM IST ensures a clutter-free chart, with dynamic points that move with the chart.
Usage: Perfect for NSE intraday trading, this indicator helps identify high-probability price targets. Customize levels, colors, and visuals to suit your strategy.
previous day H/L 15 min backtesterworks on 15 min and 5 min charts.
This indicator visualizes critical daily price levels to support intraday and swing trading decisions. Specifically, it calculates and displays the Previous Day High (PDH), Previous Day Low (PDL), and the midpoint (PDM) — the average of the high and low — based on price data from the prior trading day.
Each level line is anchored to start precisely at 6 PM New York time, marking the start of the trading day for many major markets. The lines then extend forward for a fixed duration, ensuring these key support and resistance zones remain visible well into the current trading session, giving traders a persistent frame of reference.
This persistent extension helps traders monitor price interaction with important levels throughout the day without cluttering the chart with obsolete lines. Labels indicating PDH, PDL, and PDM are displayed clearly on the left or right side of the chart, customizable to user preference.
By using this indicator, traders can better gauge potential reversal points, breakout zones, and price consolidation areas grounded on significant daily market structure, improving timing and risk management in their trading strategies.
Math by Thomas SMC Swing Range + Premium/Discount ZonesDescription:
"Math by Thomas – SMC Swing Range + Premium/Discount Zones" is a Smart Money Concepts (SMC) based indicator designed to help traders visually understand market structure and value zones.
This tool automatically detects and marks:
🔺 Recent Swing Highs and Lows
🟧 Midpoint Line between swing high and low
🟥🟩 Premium/Discount Zones for value-based entries
🔤 HH, HL, LH, LL Labels to identify trend structure
🔁 BoS (Break of Structure) and CHoCH (Change of Character) confirmations
Built with Pine Script v6, this indicator is optimized for both intraday and positional traders who rely on structure-based decision-making.
🛠️ How to Use:
Apply to any chart – Works on all timeframes and instruments.
Swing High/Low Detection:
Uses pivot logic with adjustable strength to find recent key turning points.
Displays shaded horizontal boxes for visual clarity.
Midpoint Line:
Automatically drawn between the last high and low.
Acts as the fair value level for identifying overbought/oversold zones.
Premium/Discount Zones:
Above midpoint = Premium (consider shorting).
Below midpoint = Discount (consider buying).
Structure Labels:
HH (Higher High), HL (Higher Low), LH (Lower High), LL (Lower Low).
Color-coded to reflect bullish or bearish trends.
BoS & CHoCH:
Structural breaks are labeled automatically to signal possible trend continuation or reversal.
⚙️ Settings:
🎯 Pivot Strength – Adjusts how far back/forward candles must confirm a swing.
✅ Toggle visibility of:
Swing Lines
Labels
BoS / CHoCH
Premium / Discount zones
🎨 Customize colors for each visual component.
🧠 Best Practices:
Use in combination with Order Blocks, Fair Value Gaps, or Volume Imbalances.
Ideal for traders applying Smart Money Concepts (SMC) with a structure-first mindset.
SmartPhase Analyzer📝 SmartPhase Analyzer – Composite Market Regime Classifier
SmartPhase Analyzer is an adaptive regime classification tool that scores market conditions using a customizable set of statistical indicators. It blends multiple normalized metrics into a composite score, which is dynamically evaluated against rolling statistical thresholds to determine the current market regime.
✅ Features:
Composite score calculated from 13+ toggleable statistical indicators:
Sharpe, Sortino, Omega, Alpha, Beta, CV, R², Entropy, Drawdown, Z-Score, PLF, SRI, and Momentum Rank
Uses dynamic thresholds (mean ± std deviation) to classify regime states:
🟢 BULL – Strongly bullish
🟩 ACCUM – Mildly bullish
⚪ NEUTRAL – Sideways
🟧 DISTRIB – Mildly bearish
🔴 BEAR – Strongly bearish
Color-coded histogram for composite score clarity
Real-time regime label plotted on chart
Benchmark-aware metrics (Alpha, Beta, etc.)
Modular design using the StatMetrics library by RWCS_LTD
🧠 How to Use:
Enable/disable metrics in the settings panel to customize your composite model
Use the composite histogram and regime background for discretionary or systematic analysis
⚠️ Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice or a trading recommendation. Always consult your financial advisor before making investment decisions.
Quantum RSI (TechnoBlooms)The Next Evolution of Momentum Analysis
📘 Overview
Quantum RSI is an advanced momentum oscillator based on Quantum Price Theory, designed as a superior alternative to the traditional RSI. It incorporates a Gaussian decay function to weigh price changes, creating a more responsive and intuitive measure of trend strength.
This indicator excels in identifying micro-trends and subtle momentum shifts — especially in narrow or low-volatility environments where standard RSI typically lags or gives false signals. With its enhanced smoothing, intuitive color gradients, and customizable moving average, Quantum RSI offers a powerful tool for traders seeking clarity and precision.
🔍 Key Features
• ⚛️ Quantum Momentum Engine: Measures net momentum using quantum-inspired Gaussian decay weighting.
• 🎨 Color-Reversed Gradient Zones:
o Green (Overbought): Shows momentum strength, not weakness.
o Red (Oversold): Highlights momentum exhaustion and potential bounce.
• 🧠 Smoothing with MA: Option to apply moving average (SMA/EMA/WMA/SMMA/VWMA) to the Quantum RSI line.
• 📊 Levels at 30 / 50 / 70: Standard RSI levels for decision-making guidance.
• 📈 Intuitive Visuals: Gradient fills for cleaner interpretation of zones and transitions.
👤 Who Is It For?
• Technical traders seeking a modern alternative to RSI.
• Quantitative analysts who value precision and smooth signal flow.
• Visual traders looking for intuitive, color-coded trend zones.
• Traders focused on market microstructure and early trend detection.
💡 Pro Tips
• Pair with order blocks, market structure tools, or Fibonacci confluences for high-probability entries.
• Use on assets with frequent compression or consolidation, where traditional RSI often misleads.
• Combine with volume-based indicators or smart money concepts for added confirmation.
• Ideal for sideways markets, false breakouts, or low-volatility zones where typical RSI lags.
ADR Pivot LevelsThe ADR (Average Daily Range) indicator shows the average range of price movement over a trading day. The ADR is used to estimate volatility and to determine target levels. It helps to set Take-Profit and Stop-Loss orders. It is suitable for intraday trading on lower time frames.
The “ADR Pivot Levels” produces a sequence of horizontal line levels above and below the Center Line (reference level). They are sized based on the instrument's volatility, representing the average historical price movement on a selected higher timeframe using the average daily range (ADR) indicator.
