Inizia

Educational

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
Indicatore Pine Script®
di MathThomas
UT Bot + Supertrend ComboYour script is a **combined trading indicator** for TradingView that integrates the **UT Bot** and **Supertrend** strategies to generate buy and sell signals for financial markets. Here's a detailed breakdown of its functionality: --- ### **1. Purpose** The script aims to: * **Detect buy and sell signals** using the UT Bot and Supertrend strategies. * **Provide visual indicators** on the chart for easier decision-making. * **Highlight trends** and issue alerts when significant conditions are met. --- ### **2. Components** #### **UT Bot** * **Key Features**: * Based on the ATR (Average True Range) for calculating dynamic stop-loss levels. * Option to use **Heikin Ashi candles** for smoother signals. * Produces buy and sell signals when the price crosses above or below a trailing stop level. * **Inputs**: * `ut_key_value`: Sensitivity of the trailing stop (multiplier of the ATR). * `ut_atr_period`: The period for calculating the ATR. * `ut_use_heikin_ashi`: A toggle to use Heikin Ashi candles instead of standard candles. * **Logic**: * Tracks price movements using ATR and dynamically adjusts stop levels. * Generates: * A **buy signal** when the price crosses above the trailing stop. * A **sell signal** when the price crosses below the trailing stop. #### **Supertrend** * **Key Features**: * Tracks the trend direction based on price and ATR. * Highlights trends with color shading (green for uptrend, red for downtrend). * Optional buy and sell signal plotting based on trend reversals. * **Inputs**: * `st_atr_period`: The period for ATR calculation. * `st_multiplier`: Multiplier to determine the distance of the stop levels. * `st_show_signals`: Toggle to show buy/sell signals. * `st_highlighting`: Toggle for background trend highlighting. * **Logic**: * Tracks upward and downward trends. * Generates: * A **buy signal** when the trend shifts to bullish. * A **sell signal** when the trend shifts to bearish. --- ### **3. Visual Features** * **Buy and Sell Labels**: * `UT Buy` and `UT Sell`: Show buy/sell signals based on UT Bot logic. * `ST Buy` and `ST Sell`: Show buy/sell signals based on Supertrend logic. * **Background Highlighting**: * **Green shading** for uptrends in Supertrend. * **Red shading** for downtrends in Supertrend. --- ### **4. Alerts** Custom alerts for automation or notifications: * **UT Bot Alerts**: * Triggered when a buy or sell signal occurs. * **Supertrend Alerts**: * Triggered on trend reversals. --- ### **5. Flexibility** * Adjust sensitivity and performance through inputs. * Combine UT Bot and Supertrend for **confirmation-based trading strategies**. * Enable/disable highlighting or signals for customization. --- ### **Use Cases** * Ideal for traders looking for automated trend-following signals. * Works well in **volatile markets** due to ATR's adaptability. * Can be used to confirm trades by aligning signals from both strategies. --- Let me know if you need additional modifications or further clarification!
Indicatore Pine Script®
di damionrickettscoaching
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 ________________________________________ Key points: • Assets to trade: SPY, NASDAQ, DAX, FTSE, Bitcoin • Time Frame: 1D or higher ________________________________________ 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. ________________________________________ 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. ________________________________________ 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. ________________________________________ 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. ________________________________________ 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. ________________________________________ 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.
Strategia Pine Script®
di Intetics
2
TASC 2025.07 Laguerre Filters█ OVERVIEW This script implements the Laguerre filter and oscillator described by John F. Ehlers in the article "A Tool For Trend Trading, Laguerre Filters" from the July 2025 edition of TASC's Traders' Tips . The new Laguerre filter utilizes the UltimateSmoother filter in place of an exponential moving average (EMA) in its calculation, offering improved responsiveness and reduced lag. █ CONCEPTS As Ehlers explains in his article, the Laguerre filter is a form of transversal filter . A transversal filter calculates an output signal using a tapped delay line . It creates multiple delayed versions of an input signal, applies weight to each delay, and then calculates their sum to generate the filtered result. The Laguerre filter's structure relies on Laguerre polynomials — solutions to a differential equation solved by Edmond Laguerre in the 1800s. When Ehlers analyzed the formula for these polynomials on discrete systems (e.g., financial time series), he found that the first term's expression corresponds to an EMA response, and all subsequent terms correspond to an all-pass response. In contrast to other filter types, an all-pass filter produces phase shift (i.e., delay) in an input signal's components without affecting its amplitude. Ehlers observed that these characteristics of Laguerre polynomials make them suitable for use in a transversal filter structure, and thus the Laguerre filter was born. However, he notes that EMAs are not great filters in general. As such, to improve on the Laguerre filter's design, Ehlers modified it by replacing the EMA term with his UltimateSmoother filter. The resulting Laguerre filter has significantly reduced lag, achieving a tighter response to market fluctuations while maintaining smoothness. Ehlers suggests that traders can analyze crossings between the UltimateSmoother and this Laguerre filter, or those between two Laguerre filters of different order, for helpful buy and sell signals. In addition to the Laguerre filter, Ehlers derived a smooth, low-lag oscillator based on the difference between the first and second terms in the modified filter structure, scaled by the root mean square (RMS). The resulting oscillator provides an alternative filtered representation of market data, which can help traders identify swing and mean-reversion signals. █ USAGE This indicator calculates both the Laguerre filter and the Laguerre oscillator described in Ehlers' article. It displays the Laguerre filter on the main chart pane and the oscillator in a separate pane. Users can control the behavior of the filter and oscillator with the inputs in the "Settings/Inputs" tab: The "Period" input defines the critical period of the UltimateSmoother used in the Laguerre filter and oscillator calculations. Its default value is 30. The "Gamma" input determines the weighting behavior of the Laguerre filter and oscillator. It accepts a positive value between 0 and 1. Use a lower value for quicker responsiveness to market changes, and a higher value for trends. The default value is 0.5. The "RMS length" input determines the length of the RMS calculation for oscillator normalization. The default value is 100 bars.
Indicatore Pine Script®
di PineCodersTASC
Adaptive Signal Oscillator (ASO)📘 Adaptive Signal Oscillator (ASO) A fully dynamic, self-calibrating oscillator that adapts to any asset or timeframe by optimizing for real-time signal stability and volatility structure — without relying on static parameters or hardcoded thresholds. 🔍 Overview The Adaptive Signal Oscillator (ASO) is a next-generation technical analysis tool designed to provide context-aware long/short signals across crypto, equities, or forex markets. Unlike traditional oscillators (RSI, Stochastics, MACD), ASO requires no manual tuning of lookback periods or overbought/oversold zones — it self-optimizes based on current market behavior. 🧠 How It Works ✅ 1. Dynamic Lookback Optimization ASO evaluates a range of lookback lengths between user-defined minLen and maxLen. For each length, it calculates the standard deviation of returns and finds the one with the least volatility change (i.e., the most stable structure). This length is dynamically assigned as bestLen, recalculated on every bar. ✅ 2. Multi-Layer Signal Composition Four independent signal layers are computed using bestLen: RSI Layer: Measures relative price strength via a custom dynamic RSI. Z-Score Layer: Standardized deviation of price from its mean. Volatility Layer: Standard deviation of log or percent returns. Price Position Layer: Current price percentile within the lookback window. Each of these layers is transformed into a percentile score scaled to the range . ✅ 3. Volatility-Based Weighting The standard deviation (volatility) of each signal layer is computed. Less volatile layers are weighted more heavily, ensuring the final composite signal prioritizes stable, consistent inputs. Weights are normalized and combined to form a composite score, representing a dynamically blended, noise-weighted signal across the four layers. ✅ 4. Optional Adaptive Smoothing A boolean toggle lets users apply smoothing to the final score. The smoothing window scales proportionally to bestLen, preserving adaptiveness even during trend transitions. ✅ 5. Percentile-Based Thresholding Rather than using arbitrary fixed thresholds, ASO converts the composite score into a ranked percentile. Long/short signals are then generated based on user-defined percentile bands, adapting naturally to each asset’s behavior. 📈 Interpreting ASO Score > Threshold → Strong long signal (highlighted in aqua). Score < Threshold → Strong short signal (highlighted in fuchsia). Crossing h_thresh (e.g., 0) → Neutral-to-bias change; useful for early trend cues. The background and label update in real time to reflect the current regime and bestLen. ⚙️ Inputs minLen, maxLen, step: Define the search range for optimal lookback length. retMethod: Choose between log or percent return calculations. threshHigh, threshLow: Define signal zones using percentiles. smooth: Enable dynamic score smoothing. h_thresh: Midline crossover zone for directional context. ⚠️ Disclaimer This tool is designed for exploratory and educational purposes only. It does not offer financial advice or trading recommendations. Past performance is not indicative of future results. Always consult a licensed financial advisor before making investment decisions.
Indicatore Pine Script®
di RWCS_LTD
🧘 Daily Mindset Reminder🧘 Daily Trading Mindset Reminder – Stay Calm, Stay Disciplined 📌 Description: This simple yet powerful indicator is designed to help intraday and options traders start their trading day with clarity, discipline, and purpose. At exactly 9:15 AM, it displays a calming checklist label on your chart to reinforce essential trading principles and avoid emotional decision-making. ✅ Use it as a daily anchor to: Stay emotionally centered and focused Avoid overtrading or impulsive reactions Remember your pre-trade plan and stop-loss rules Trade with purpose – not prediction 📋 Checklist Included: ✅ Calm Mind ✅ No Predictions – Just Reactions ✅ Trade Setup Ready ✅ Risk Defined ✅ Journal On ✅ Goal: Trade Well, Not Just Profit 🛠️ Works on any timeframe and chart. Non-intrusive and customizable. 🌟 Who Is It For? Intraday Traders Options Buyers (Bank Nifty, Nifty, Fin Nifty) Discretionary Traders who want mental clarity and discipline 🧭 Why You Need It Most traders lose not because of lack of strategy, but due to lack of mindset control. This simple tool keeps you grounded and reminds you of what matters before you place that first trade. ✨ “Mindset is the real edge. Let this script be your daily compass.”
Indicatore Pine Script®
di JayeshBoradia
Adaptive Normalized Global Liquidity OscillatorAdaptive Normalized Global Liquidity Oscillator A dynamic, non-repainting oscillator built on real central bank balance sheet data. This tool visualizes global liquidity shifts by aggregating monetary asset flows from the world’s most influential central banks. 🔍 What This Script Does: Aggregates Global Liquidity: Includes Federal Reserve (FED) assets and subtracts liabilities like the Treasury General Account (TGA) and Reverse Repo Facility (RRP), combined with asset positions from the ECB, BOJ, PBC, BOE, and over 10 other central banks. All data is normalized into USD using FX rates. Adaptive Normalization: Optimizes the lookback period dynamically based on rate-of-change stability—no fixed lengths, enabling adaptation across macro conditions. Self-Optimizing Weighting: Applies inverse standard deviation to balance raw liquidity, smoothed momentum (HMA), and standardized deviation from the mean. Percentile-Ranked Highlights: Liquidity readings are ranked relative to history—extremes are visually emphasized using gradient color and adaptive transparency. Non-Repainting Design: Data is anchored with bar index awareness and offset techniques, ensuring no forward-looking bias. What you see is what was known at that time. ⚠️ Important Interpretation Note: This is not a zero-centered oscillator like RSI or MACD. The signal line does not represent neutrality at zero. Instead, a dynamic baseline is calculated using a rolling mean of scaled liquidity. 0 is irrelevant on its own—true directional signals come from crosses above or below this adaptive baseline. Even negative values may signal strength if they are rising above the moving average of past liquidity conditions. ✅ What to Watch For: Crossover Above Dynamic Baseline: Indicates liquidity is expanding relative to recent conditions—supports a risk-on interpretation. Crossover Below Dynamic Baseline: Suggests deteriorating liquidity conditions—may align with risk-off shifts. Percentile Extremes: Readings near the top or bottom historical percentiles can act as contrarian or confirmation signals, depending on momentum. ⚙️ How It Works: Bounded Normalization: The final oscillator is passed through a tanh function, keeping values within and reducing distortion. Adaptive Transparency: The strength of deviations dynamically adjusts plot intensity—visually highlighting stronger liquidity shifts. Fully Customizable: Toggle which banks are included, adjust dynamic optimization ranges, and control visual display options for plot and background layers. 🧠 How to Use: Trend Confirmation: Sustained rises in the oscillator above baseline suggest underlying monetary support for asset prices. Macro Turning Points: Reversals or divergences, especially near OB/OS zones, can foreshadow broader risk regime changes. Visual Context: Use the dynamic baseline to see if liquidity is supportive or suppressive relative to its own adaptive history. 📌 Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always consult a qualified financial advisor before making trading or investment decisions.
Indicatore Pine Script®
di RWCS_LTD
EMA Touch with 9 EMA Filter//@version=5 indicator("EMA Touch with 9 EMA Filter", overlay=true) ema9 = ta.ema(close, 9) ema100 = ta.ema(close, 100) ema150 = ta.ema(close, 150) // Candle colors isGreen = close > open isRed = close < open // Candle body or wick touching both EMA 100 and EMA 150 touchesBothEMAs = (low <= ema100 and high >= ema100) and (low <= ema150 and high >= ema150) // Green arrow condition greenArrowCond = isGreen and touchesBothEMAs and (ema9 > ema100 and ema9 > ema150) // Red arrow condition redArrowCond = isRed and touchesBothEMAs and (ema9 < ema100 and ema9 < ema150) // Plotting arrows plotshape(greenArrowCond, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="▲") plotshape(redArrowCond, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="▼") // Optional: Plot EMAs plot(ema9, title="EMA 9", color=color.orange) plot(ema100, title="EMA 100", color=color.blue) plot(ema150, title="EMA 150", color=color.purple)
Indicatore Pine Script®
di thought_eng
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.
Indicatore Pine Script®
di JoMerende
2
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.
Indicatore Pine Script®
di connectwiththewolves
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
Indicatore Pine Script®
di namtrhg
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.
Indicatore Pine Script®
di MathThomas
3
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.
Indicatore Pine Script®
di EdgeTools
2
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.
Indicatore Pine Script®
di srbhmaggo