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WholvolTotal Volume Of Crypto Pairs Based on TV Top Exchanges See the whole volume with additional feature and options. Report volume data in USD, BTC, itSelf. See each exchange Share and Volume. Static and Dynamic value filtering. MAs crosses. Note.1    Due to the pine limitations, we have selected the most important Exchanges which have valuable volume. Note.2    When you choose to report stats in BTC unit and you have chart of altcoins, the BTC source price will extract from your pair exchange. Note.3    When you choose to report stats in USD unit, Historical volume data worth will calculated using your entered source price BUT on Realtime data, script will use latest price(close) as source price. Note.4    You must only select the exchanges which support your pair, otherwise you will see error.
Indicatore Pine Script®
di Algorca
Crypto USD VolumeOften times I need to check the volume in cryptocurrency exchanges and I find myself checking which type of volume I am looking at, I need to manually make sense what the data is and converting it into USD volume which I end up going to CoinMarketCap website to verify whether my calculation is right. Today I thought it was about time I created an automatic way to find the volume in USD Dollars. This is what this script does. 1 - It removes the base currency from the symbol (e.g., "BTCUSD", it would remove "BTC", leaving us with the "USD" part.). This is important because it helps us identify the currency the pair uses. 2 - It has different pair's variables, each is given a specific currency that the final volume is calculated from. (BTC, ETH, BNB and USD are the default currencies, for other ones, it must be added manually). This works with all crypto symbols that include BTC, ETH, BNB and USD as currencies. If you modify it, please make sure to compare data with the exchange's one.
Indicatore Pine Script®
di Quansium
1
Simple Momentum Strategy Based on SMA, EMA and VolumeA simple, non short selling (long positions only, i.e. buy low and sell high) strategy. Strategy makes use of simple SMA, EMA and Volume indicators to attempt to enter the market at the most optimum time (i.e. when momentum and price are moving upwards). Optimum time is defined mainly by picking best timing for price moves higher based on upwards momentum. This script is targeted / meant for an average/typical trader or investor. This is why a non short selling approach was selected for optimisation for this strategy because "typpical", "average" traders and investors usually use basic (i.e. minimum fees / free membership) exchanges that would not usually offer short selling functionality (at least without additional fees). The assumption used here is that only advanced and sophisticated traders and investors would pay for advanced trading platforms that enable short selling, have a risk appetite for short selling and thus use short selling as a strategy. The results of the strategy are: In an overall roughly bearish market (backward testing from beginning to end of 2018) i.e. the market immediately following the highs of around 20k USD per BTC, this strategy made a loss of £3231 USD on trades of a maximum of 1 BTC per long position. But in an overall bullish market, it makes a profit of about $6800 USD from beginning of 2019 onwards by trading a maximum of 1 BTC per long position. NOTE: All trading involves high risk. Most strategies use past performance and behaviour as indicators of future performance and that is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations too. One limitation is that unlike an actual performance record, simulated results do not represent actual trading and since the trades have not actually been executed, the results of those trades themselves do not have any influence on actual market results, which in real life they would have had (no matter how minor). Additionally, simulated results may have under or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also, by their nature, designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Strategia Pine Script®
di slip_stream
1
inwCoin Average Position Price Calculator - For CryptocurrencyEver wonder what is my average entry ? No need to use excel. Just use this simple indicator to calculate average entry of your multiple positions. How to use -------------- 1) Just input your entries into each box. ( Buy price + buy amount ) 2) If you don't want to use any input, just uncheck the checkbox. How to read value ---------------------- - This indicator will calculate the asset amount you got when you purchase it, by asset amount = entry amount / entry price ( Eg. buy BTC at 10,000$ per BTC with 1,000 USD = 1000/10000 = 0.1 BTC ) - It will calculate your current value of the asset you holding and compare it with all of the money you already invested. Also the profit/loss. - It will show the average entry price with the green line on the chart and in the textbox.
Indicatore Pine Script®
di Real_inwCoin
1
Godmode 4.0.0 [Oscillator]First off, a huge thank you to the following people: LEGION: LazyBear: www.tradingview.com xSilas: www.tradingview.com Ni6HTH4awK: www.tradingview.com sco77m4r7and: SNOW_CITY: www.tradingview.com oh92: www.tradingview.com alexgrover: www.tradingview.com cI8DH: www.tradingview.com DonovanWall: www.tradingview.com Since I've been on TradingView I've become somewhat enthralled by Godmode and the collective work that goes in to it, so I decided to publish my own iteration, building off the ideas already present. (This is a great way to get familiar with Pine by the way, just in case there are any beginners reading this) Changes The first change I made was to allow the user to select whatever tickerid they wanted as a benchmark. If trading XBTUSD on BitMEX for example, the indicator will react to exchange-specific activity, which means it will respond to all the little whipsaws, whipsaws that can be especially present on a futures exchange. By typing CRYPTOCAP:BTC or CRYPTOCAP:TOTAL we endeavor to remove noise. It can also signal earlier. Less noise and less lag. Another idea would be to choose a benchmark that has a strong inverse relationship with the asset you're trading: try CRYPTOCAP:USDT as the benchmark against BTC to see what I mean. I also added the ability to smooth the plot, yet again removing noise but adding considerable lag. The linear regression of the wave-trend is calculated in place of the EMA. This is plotted as columns with the midline (50) as the base. This is just calculating the slope of the wave-trend and can signal a weakening trend before a reversal takes place. Using cI8DH's True RSI script () as inspiration, I added a function for calculating the True TSI in an attempt to remove any bullish bias. Funnily enough, when I tried to do the same with the RSI I had some problems. I'll try to resolve this in the coming weeks. Made slight changes to the aesthetics. Tried to bring the two main plots alive by making their bold, opaque colors stand off the subtle tones in the background. To Do List 1. I would like to sort out the issue with the True RSI. 2. When the plots are smoothed, there's an issue with the green 'Caution!' dots appearing in the lower half of the indicator. 3. I'd like to adjust the code so that if the 'Benchmark' box is empty, that it will automatically register the current tickerid as the 'Benchmark'. If anyone has any suggestions on other fixes or how to apply the fixes mentioned by me, please don't hesitate to reach out to me here or through other media platforms. Want to Learn? If you'd like the opportunity to learn Pine but you have difficulty finding resources to guide you, take a look at this rudimentary list: docs.google.com The list will be updated in the future as more people share the resources that have helped, or continue to help, them. Follow me on Twitter to keep up-to-date with the growing list of resources. Suggestions or Questions? Don't even kinda hesitate to forward them to me. My (metaphorical) door is always open. BITMEX:XBTUSD CRYPTOCAP:BTC CRYPTOCAP:TOTAL CRYPTOCAP:USDT.D
Indicatore Pine Script®
di chrysopoetics
6
Crypto MeasurerI'm proud to finally announce the Crypto measurer!!!, 20 coins chosen from the selection available at Binance, you're free to modify the code to add your own coins or remove them or if you use another exchange. This works similar to the SCSM, except it's for cryptos, never miss a PUMP & DUMP scheme again, don't get tricked into buying the losing coins anymore. The stronger coins are at the top while the losing coins at the bottom, works on any TF too, but be careful of volatility in lower TFs. This picture is only of ETH and BTC, see how ethereum rallies in mid april until mid may, then bitcoin becomes the more dominating coin and remains like that, pushing ETH/BTC lower. Again, here it's the chart for ETH and BNB, with the corresponding comparison. And here is LTC/BTC to finish the comparisons.
Indicatore Pine Script®
di EilderJorgeGarcia
14
Noro's Trend MAs Strategy v2.3Don't use on pairs of type "crypto/crypto"! Only for pairs like "crypto/fiat" ("BTC/USD", "BTC/CNY", "ETH/USD", "ETH/CNY", etc) Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat - Good for "BTC/USD", "ETH/USD" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat") Extreme = true (if "crypto/fiat") In the new version 2.3 + Dates
Strategia Pine Script®
di ROBO_Trading
1
Noro's Trend MAs Strategy v2.0Don't use on pairs of type "crypto/crypto"! Only for pairs like "crypto/fiat" ("BTC/USD", "BTC/CNY", "ETH/USD", "ETH/CNY", etc) Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat - Good for "BTC/USD", "ETH/USD" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any OHLC4 = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat") Extreme = true (if "crypto/fiat") In the new version 2.0 - CryptoBottom is added
Strategia Pine Script®
di ROBO_Trading
23
Noro's Trend MAs Strategy v1.9 ExtremeExtreme version of Noro's Trend MAs strategy. Don't use on pairs of type "crypto/crypto"! Only for pairs like "crypto/fiat" ("BTC/USD", "BTC/CNY", "ETH/USD", "ETH/CNY", etc) Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat - Good for "BTC/USD", "ETH/USD" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any OHLC4 = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat") Extreme = true (if "crypto/fiat") In the new version 1.9 - Extreme is added
Strategia Pine Script®
di ROBO_Trading
2
Aggregated Open Interest Multi-Exchange (USD)This indicator aggregates Open Interest (OI) data from multiple major cryptocurrency exchanges into a single unified view in USD, using data available on TradingView. It automatically adapts to the asset you're viewing on the chart. Features: Aggregates OI from 7 major exchanges: Binance, Bybit, OKX, Bitget, Deribit, HTX, and Coinbase All values converted to USD - unlike native OI which shows contracts/coins Uses only data available on TradingView platform Automatically detects the asset from your chart (BTC, ETH, SOL, etc.) True apples-to-apples comparison across exchanges Displays as candlesticks showing OI open, high, low, and close Toggle exchanges on/off individually Handles different contract types per exchange automatically Why USD conversion matters: Traditional OI indicators show values in contracts or crypto units, making it difficult to compare across exchanges. This indicator converts everything to USD, giving you the real dollar value of open positions across all exchanges. How it works: Simply add the indicator to any crypto perpetual futures chart. It will automatically fetch and aggregate OI data from all supported exchanges for that asset using TradingView's built-in data feeds, converting everything to USD. Supported Exchanges: Binance, Bybit, Bitget, HTX: USDT perpetuals Deribit: BTC/ETH use USD contracts, others use USDC OKX: Contract-based (automatically converted) Coinbase: USDC perpetuals Perfect for traders who want a comprehensive view of total market Open Interest in USD across exchanges using reliable TradingView data.
Indicatore Pine Script®
di carlosbucci
Relative Strength Ratio • Leader Shift Signals## Overview This indicator computes a **Relative Strength (RS) ratio** between your chart’s symbol and a reference symbol (e.g. BTC or index), then overlays an EMA-based trend filter and detects **RS divergences** via RSI on that ratio. It highlights when your symbol is leading vs lagging, and spots potential turning points via bullish/negative divergences. No alerts are forced, you get visual cues (lines & labels) only. --- ## How It Works 1. **RS Ratio** = (base symbol price) ÷ (reference symbol price). 2. Two EMAs (fast & slow) filter trend context and help identify “leader shifts” (when ratio crosses the fast EMA under trend constraints). 3. **RSI on the ratio** is used to detect divergences. We find swing highs/lows in the *ratio* and compare their RSI values: * **Bearish RS divergence**: ratio makes a higher high, but RSI makes a lower high * **Bullish RS divergence**: ratio makes a lower low, but RSI makes a higher low 4. When divergence is confirmed, the script draws connecting lines (and optional markers) on the RS ratio pane to visually flag them. 5. You can customize pivot sensitivity, minimum separation, colors, and toggles for which graphics to show. --- ## Best Usage Suggestions * Use a **reference symbol** that is meaningfully related (e.g. BTC for altcoins, SPX for equities, or a sector index for a stock). The interpretive power comes from seeing relative strength vs a meaningful peer. * On **higher timeframes** (4H, daily), divergences tend to carry more weight. On lower intraday charts, tighten pivot settings to avoid noise. * Prefer divergence signals when the RS ratio is also in a favorable trend (e.g. above its EMA for bullish divergences, below for bearish). Using the trend filter EMAs helps reduce false signals. * Always confirm divergence signals with **price structure, volume, or other momentum indicators**. Divergence is a warning or a hint—not a standalone trigger. * Because RSI on ratio is subject to noise, avoid over-tuning pivots too tight; broader pivot widths give more robust divergence lines. --- ## Inputs & Customization * **Reference Symbol & Timeframe** for ratio comparison * **Fast EMA / Slow EMA lengths** and slope threshold (trend filter) * **RSI length** applied to the RS ratio * **Pivot left / right bars** and **min separation** to define sturdy swings * **Toggle lines / markers** visibility, and pick colors for divergence, ratio, EMAs * Optional “shade” or fill modes (if you have them) --- ## Limitations & Disclaimers * Divergence does **not guarantee** reversals—it often signals **weakening momentum or potential turning zones**, which may not always play out. * In extremely volatile or fast-moving markets, divergence lines may lag or fail. * The script relies on historical data (no future lookahead). Because pivots are confirmed after a few bars, some signals show with delay. * As always: combine with price action, structure, risk management. This is a tool—not a magic eight ball. ---
Indicatore Pine Script®
di Blk0ut
50% Fib Trend Cloud + ATR BandsThis indicator plots two structural 50% fibonacci midpoints from recent confirmed 'left/right' swings that form a *cloud* of equilibrium, then adds a rolling 50% fibonacci range midpoint based on a lookback window that's wrapped in ATR bands. Importantly, it solves a specific trading problem: Structural midpoints (macro context) are powerful but can lag when price escapes prior ranges. Enter rolling 50% fib + ATR ➡️ which restores real-time balance & tolerance (micro context). Together they show where price is balanced structurally, where it’s balanced right now, and how much volatility to tolerate before acting. ➖➖➖ 🔑 Why this is different Most tools either draw a single midpoint (ex., daily 50%) or ATR bands around a moving average. This script fuses dual swing-based 50% midpoints (structure) + a rolling 50% with ATR (flow), so you don’t lose context when price escapes prior ranges. The cloud tells you who’s in control (fast vs. slow structure). The rolling 50% + ATR tells you how far is “too far” now. ➖➖➖ 🧠 What it does (at a glance) 🔸Structural Equilibrium × 2 (Fib1/Fib2) Two independent 50% midpoints formed from swing pivots (configurable Left/Right bars + optional smoothing). Their gap is the Midpoint Cloud = structural “fair value” zone. 🔸Rolling 50% + ATR Bands A rolling highest/lowest window computes an always-current 50% rolling midpoint plot; ±ATR × length envelopes define a soft value area and over-stretch boundaries. 🔸Actionable Visuals Optional fill between Fib1/Fib2, labels, and candle-overlay modes to instantly read regime (above both / below both / between). 🔸Smart Defaults Timeframe-aware presets for L/R pivots & smoothing; full manual overrides available. ➖➖➖ ⚙️ Calculations (plain-English) 🔸Pivot midpoints (Fib1 & Fib2): 1) Detect a swing using `Left/Right` bars 2) Take the swing’s high/low → compute 50% 3) (Optional) Smooth the line (SMA) to stabilize on noisy TFs 4) Repeat with a different sensitivity to get two distinct midpoints 🔸Rolling midpoint: Highest High / Lowest Low over the last *N* bars → (HH + LL) / 2 🔸ATR levels: `Upper = Rolling50 + ATR × Mult`, `Lower = Rolling50 − ATR × Mult` (Typical: ATR length 14–21; Multipliers 2.236 for L1, 5.382 for L2) ➖➖➖ 🤖 Auto-Configured Presets (with Manual Override) 💡Goal: make the midpoints “just work” on common timeframes while still letting you dial them in. 💡How Auto Presets work When Auto Presets = ON, the script picks sensible L/R/S (Left bars / Right bars / Smoothing) for Fib Trend 1 and Fib Trend 2 based on chart timeframe. 🔸Fib 1 (fast) emphasizes *micro-structure* for quicker bias shifts. 🔸Fib 2 (slow) emphasizes *macro-structure* for anchor/bias context. These defaults keep Fib 1 responsive without jitter and Fib 2 stable without lag. ➡️ Turn Auto Presets = OFF to take full control with the manual inputs described below. ➖➖➖ 🛠 Manual Fib Midpoint Settings (when Auto = OFF) 💡Each midpoint uses three knobs: 🔸Pivot Left (L): bars to the left that must be lower/higher to qualify a swing 🔸Pivot Right (R): bars to the right that must be lower/higher to confirm the swing 🔸Smoothing (S): SMA period applied to the raw 50% midpoint (stabilizes noise) 5-Minute optimized defaults 🔸Fib Trend 1: `L21 / R5 / S55` → responsive local structure (entries/exits, re-balancing zones) 🔸Fib Trend 2: `L55 / R13 / S89` → broader structure (trend context, anchors/stops) Timeframe guidance 🔸1m–3m: may feel a touch laggy → consider ~`L13 / R3 / S34` 🔸15m–1h: defaults remain strong → optionally ~`L34 / R8 / S89` 🔸4h+ : increase span for stability → `L89–144 / R13–21 / S144–233` ➡️ Rule of thumb: shorter L/R = faster detection, longer S = smoother line. Tune until Fib 1 captures the “active swing” and Fib 2 captures the “dominant swing” without whipsaw. ➖➖➖ 🎛 Inputs (quick reference) 🔸Fib Trend 1/2: Source (High/Low/Close), Left/Right bars, Smoothing length, Show/Hide, Cloud fill toggle 🔸Rolling 50%: Lookback length, Price basis (Wicks/Close/HLC3/OHLC4), Plot scope (Full / Last N / None) 🔸ATR Bands: ATR length, Multipliers (L1/L2), Plot scope, Line width/colors 🔸Overlay & Labels: Candle overlay mode, Label padding/size, 50% centerline toggle, Plot widths ➖➖➖ 🖍️ Candle Coloring & Overlay Modes 💡Purpose: make trend instantly visible on the candles and ATR levels. 1) Color Logic (dropdown) 🔸 Fib Midpoints — Colors by position of price vs. Fib 1 & Fib 2 🔸ATR Zones — Colors by which ATR zone price is in relative to the Rolling 50% ➡️ Price Reference: Choose the input used for the decision (Close, HL2, OHLC3, OHLC4). ➡️Tip: Close is crisp; HL2/OHLC variants are smoother. 2) Overlay Style (dropdown) 🔸 None — No visual change to candles 🔸 Bar Color — Uses `barcolor()` to tint built-in candles (this takes into account your Trading View settings, for instance if you have wicks set to white, they will show up as white with this setting) 🔸 PlotCandles — Draws unified custom candles (body, wick, border) with the same color for maximum clarity 💡Practical use 🔸 Pick Fib Midpoints to read structural bias at a glance (above/below/between the cloud). 🔸 Pick ATR Zones to read value vs. stretch around the Rolling 50% (mean-reversion vs. trend extension). ➖➖➖ 📘 How to use A) Trend confirmation - Strong bullish bias when price holds above both structural mids; strong bearish when below both. - Use the Rolling 50% + ATR as a dynamic re-entry zone: pullbacks that respect ATR(L1) often continue the prevailing trend. B) Transition / mean reversion - Inside the Cloud (between Fib1 & Fib2) treat behavior as neutralization/re-balancing; range tactics tend to outperform momentum plays. - In ranges, fades near ±ATR around the rolling 50% can mark short-term edges. C) Breakout context - When price leaves the Cloud, the Rolling 50% keeps you anchored so price never feels “floating.” A clean hold outside ATR(L1/L2) suggests regime strength; quick re-entries hint at traps. ➖➖➖ 🖼 Chart examples ➡️ Each snapshot shows how the Cloud (structure) and the Rolling 50% + ATR (flow) work together. 1) 1-Minute Downtrend – Cloud as Dynamic Ceiling - The Cloud slopes down; pullbacks repeatedly fail under the Cloud’s underside. - Rolling 50% (dashed mid) + ATR(L1) act as a reversion band: rallies stall near upper ATR and rotate lower. 2) 15-Minute Persistent Drift – Structure Guides, Flow Times Entries - Long drift lower with Cloud overhead. - Consolidations near the rolling mid resolve in the trend direction; ATR bands frame risk on each attempt. 3) 15-Minute Uptrend (BTC) – From Cloud Escape to Value Stair-Step - After escaping the prior Cloud, rolling 50% + ATR establish a new higher value area. - Pullbacks into ATR(L1) produce orderly stair-steps; Cloud remains supportive on deeper dips 4) 5-Minute BTC – Pullback to Value then Rotate - Strong leg up; retrace tags lower ATR band and rotates back toward the rolling mid. - Labels (Fib1/Fib2) make the structural context explicit for decision-making. ➖➖➖ 🧪 Starter presets - Intraday (5–15m): Fib1 ~ L21/R5 (smooth 5), Fib2 ~ L55/R13 (smooth 9) • Rolling = 55 • ATR = 14 • L1 = 2.5x, L2 = 5.0x - Scalping: Shorten lookbacks & smoothing; keep ATR multipliers similar, or tighten L1. - Swing: Lengthen all lookbacks; consider ATR length 21–28. ➖➖➖ 🏁Final Word This script is not just a visual tool, it’s a complete trend and structure framework. Whether you're looking for clean trend alignment, dynamic support/resistance, or early warning signs of a reversal, this system is tuned to help you react with confidence — not hindsight. Rembember, no single indicator should be used in isolation. For best results, combine it with price action analysis, higher-timeframe context, and complementary tools like trendlines, moving averages etc Use it as part of a well-rounded trading approach to confirm setups — not to define them alone. --- 💡Turn logic into clarity. Structure into trades. And uncertainty into confidence.
Indicatore Pine Script®
di MYNAMEISBRANDON
Performance-based Asset Weighting(MTF)**Performance-Based Asset Weighting (MTF/Symbol Free Setting)** #### Overview This indicator is a tool that visualizes the relative strength of performance (price change rate) as “weight (allocation ratio)” for **four user-defined stocks**. By setting any specified past point in time as the baseline (where all symbols are equally weighted at 25%), it aims to provide an intuitive understanding of which symbols outperformed others and attracted capital, or underperformed and saw capital outflows. **【Default Settings and Application Scenario: Pension Fund Rebalancing Analysis】** The default settings reference the basic portfolio of Japan's Government Pension Investment Fund (GPIF), configuring four major asset classes: domestic equities, foreign equities, domestic bonds, and foreign bonds. It is known that when market fluctuations cause deviations from this equal-weighted ratio, rebalancing occurs to restore the original ratio (selling assets whose weight has increased and buying assets whose weight has decreased). Analyzing using this default setting can serve as a reference point for considering **“whether rebalancing sales (or purchases) by pension funds and similar entities are likely to occur in the future.”** **【Important: Usage Notes】** The weights shown by this indicator are **theoretical reference values** calculated solely based on performance from the specified start date. Even if large investors conduct significant rebalancing (asset buying/selling) during the period, those transactions themselves are not reflected in this chart's calculations. Therefore, please understand that the actual portfolio ratios may differ. **Use this solely as a rough guideline. ** #### Key Features * **Freely configure the 4 assets for analysis:** You can freely set any 4 assets (stocks, indices, currencies, cryptocurrencies, etc.) you wish to compare via the settings screen. * **Performance-based weight calculation:** Rather than simple price composition ratios, it calculates each asset's price change since the specified start date as a “performance index” and displays each asset's proportion of the total sum. * **Freely set analysis start date:** You can set any desired starting point for analysis, such as “after the XX shock” or “after earnings announcements,” using the calendar. * **Multi-Timeframe (MTF) Support:** Independently of the timeframe displayed on the chart, you can freely select the timeframe (e.g., 1-hour, 4-hour, daily) used by the indicator for calculations. #### Calculation Principle This indicator calculates weights in the following three steps: 1. **Obtaining the Base Price** Obtain the closing price for each of the four stocks on the user-set “Start Date for Weight Calculation.” This becomes the **base price** for analysis. 2. **Calculating the Performance Index** Divide the current price of each stock by the **base price** obtained in Step 1 to calculate the “Performance Index”. `Performance Index = Current Price ÷ Base Date Price` This quantifies how many times the current performance has increased compared to the base date performance, which is set to “1”. 3. **Calculating Weights** Sum the “Performance Indexes” of the four stocks. Then, calculate the percentage contribution of each stock's Performance Index to this total sum and plot it on the chart. `Weight (%) = (Individual Performance Index ÷ Total Performance Index of 4 Stocks) × 100` Using this logic, on the analysis start date, all stocks' performance indices are set to “1”, so the weights start equally at 25%. #### Usage * **Application Example 1: Market Sentiment Analysis (Using Default Settings)** Analyze using the default asset classes. By observing the relative strength between “Equities” and “Bonds”, you can assess whether the market is risk-on or risk-off. * **Application Example 2: Sector/Theme Strength Analysis** Configure settings for groups like “Top 4 semiconductor stocks” or “4 GAFAM stocks.” Setting the start date to the beginning of the year or earnings season allows you to instantly compare which stocks within the same sector are performing best. * **Application Example 3: Cryptocurrency Power Map Analysis** By setting major cryptocurrencies like “BTC, ETH, SOL, ADA,” you can analyze which currencies are attracting market capital. **【About Legend Display】** Due to Pine Script specification constraints, the legend on the chart will display fixed names: **“Stock 1” to “Stock 4”. ** Please note that the symbol you entered for “Symbol 1” in the settings corresponds to the “Symbol 1” line on the chart. #### Settings * **Symbol 1 to Symbol 4:** Set the four symbols you wish to analyze. * **Timeframe for Calculation:** Select the timeframe the indicator references when calculating weights. * **Start Date for Weight Calculation:** This serves as the base date for comparing performance. #### Disclaimer This script is solely a tool to assist with market analysis and does not recommend buying or selling any specific financial instruments. Please make all final investment decisions at your own discretion. ------------------------------------------------------------------------------------------------------------------- **Performance-based Asset Weighting（MTF・シンボル自由設定）** #### 概要 このインジケーターは、**ユーザーが自由に設定した4つの銘柄**について、パフォーマンス（騰落率）の相対的な強さを「ウェイト（構成比率）」として可視化するツールです。 指定した過去の任意の時点を基準（全銘柄が均等な25%）として、そこからどの銘柄のパフォーマンスが他の銘柄を上回り、資金が向かっているのか、あるいは下回っているのかを直感的に把握することを目的としています。 **【デフォルト設定と活用シナリオ：年金基金のリバランス考察】** デフォルト設定では、日本の年金積立金管理運用独立行政法人（GPIF）の基本ポートフォリオを参考に、主要4資産クラス（国内株式, 外国株式, 国内債券, 外国債券）が設定されています。市場の変動によってこの均等な比率に乖離が生じると、元の比率に戻すためのリバランス（比率が増えた資産を売り、減った資産を買う）が行われることが知られています。 このデフォルト設定で分析することで、**「今後、年金基金などによるリバランスの売り（買い）が発生する可能性があるか」を考察するための、一つの目安として利用できます。** **【重要：利用上の注意点】** このインジケーターが示すウェイトは、あくまで指定した開始日からのパフォーマンスのみを基に算出した**理論上の参考値**です。実際に大口投資家などが途中で大規模なリバランス（資産の売買）を行ったとしても、その取引自体はこのチャートの計算には反映されません。 そのため、実際のポートフォリオ比率とは異なる可能性があることをご理解の上、**あくまで大まかな目安としてご活用ください。** #### 主な特徴 * **分析対象の4銘柄を自由に設定可能:** 設定画面から、比較したい4つの銘柄（株式、指数、為替、仮想通貨など）を自由に設定できます。 * **パフォーマンス基準のウェイト計算:** 単純な価格の構成比ではなく、指定した開始日からの各銘柄の騰落を「パフォーマンス指数」として算出し、その合計に占める各銘柄の割合を表示します。 * **分析開始日の自由な設定:** 「〇〇ショック後」「決算発表後」など、分析したい任意の時点をカレンダーから設定できます。 * **マルチタイムフレーム（MTF）対応:** チャートに表示している時間足とは別に、インジケーターが計算に使う時間足（1時間足、4時間足、日足など）を自由に選択できます。 #### 計算の原理 このインジケーターは、以下の3ステップでウェイトを算出しています。 1.  **基準価格の取得**     ユーザーが設定した「ウェイト計算の開始日」における、4つの各銘柄の終値を取得し、これを分析の**基準価格**とします。 2.  **パフォーマンス指数の算出**     現在の各銘柄の価格を、ステップ1で取得した**基準価格**で割ることで、「パフォーマンス指数」を算出します。     `パフォーマンス指数 = 現在の価格 ÷ 基準日の価格`     これにより、基準日のパフォーマンスを「1」とした場合、現在のパフォーマンスが何倍になっているかが数値化されます。 3.  **ウェイトの算出**     4つの銘柄の「パフォーマンス指数」の合計値を算出します。そして、合計値に占める各銘柄のパフォーマンス指数の割合（%）を計算し、チャートに描画します。     `ウェイト (%) = (個別のパフォーマンス指数 ÷ 4銘柄のパフォーマンス指数の合計) × 100` このロジックにより、分析開始日には全銘柄のパフォーマンス指数が「1」となるため、ウェイトは均等に25%からスタートします。 #### 使用方法 * **応用例1：市場のセンチメント分析（デフォルト設定利用）**     デフォルト設定の資産クラスで分析し、「株式」と「債券」の力関係を見ることで、市場がリスクオンなのかリスクオフなのかを判断する材料になります。 * **応用例2：セクター・テーマ別の強弱分析**     設定画面で、例えば「半導体関連の主要4銘柄」や「GAFAMの4銘柄」などを設定します。開始日を年初や決算時期に設定することで、同セクター内でどの銘柄が最もパフォーマンスが良いかを一目で比較できます。 * **応用例3：仮想通貨の勢力図分析**     「BTC, ETH, SOL, ADA」など、主要な仮想通貨を設定することで、市場の資金がどの通貨に向かっているのかを分析できます。 **【凡例の表示について】** Pine Scriptの仕様上の制約により、チャート上の凡例は**「銘柄1」〜「銘柄4」という固定名で表示されます。** お手数ですが、設定画面でご自身が「銘柄1」に入力したシンボルが、チャート上の「銘柄1」のラインに対応する、という形でご覧ください。 #### 設定項目 * **銘柄1〜銘柄4:** 分析したい4つのシンボルをそれぞれ設定します。 * **計算に使う時間足:** インジケーターがウェイトを計算する際に参照する時間足を選択します。 * **ウェイト計算の開始日:** パフォーマンスを比較する上での基準日となります。 #### 免責事項 このスクリプトはあくまで市場分析を補助するためのツールであり、特定の金融商品の売買を推奨するものではありません。投資の最終的な判断は、ご自身の責任において行ってください。
Indicatore Pine Script®
di na-gi
Hosoda’s CloudsMany investors aim to develop trading systems with a high win rate, mistakenly associating it with substantial profits. In reality, high returns are typically achieved through greater exposure to market trends, which inevitably lowers the win rate due to increased risk and more volatile conditions. The system I present, called “Hosoda’s Clouds” in honor of Goichi Hosoda , the creator of the Ichimoku Kinko Hyo indicator, is likely one of the first profitable systems many traders will encounter. Designed to capture trends, it performs best in markets with clear directional movements and is less suitable for range-bound markets like Forex, which often exhibit lateral price action. This system is not recommended for low timeframes, such as minute charts, due to the random and emotionally driven nature of price movements in those periods. For a deeper exploration of this topic, I recommend reading my article “Timeframe is Everything”, which discusses the critical importance of selecting the appropriate timeframe. I suggest testing and applying the “Hosoda’s Clouds” strategy on assets with a strong trending nature and a proven track record of performance. Ideal markets include Tesla (1-hour, 4-hour, and daily), BTC/USDT (daily), SPY (daily), and XAU/USD (daily), as these have consistently shown clear directional trends over time. Commissions and Configuration Commissions can be adjusted in the system’s settings to suit individual needs. For evaluating the effectiveness of “Hosoda’s Clouds,” I’ve used a standard commission of $1 per order as a baseline, though this can be modified in the code to accommodate different brokers or preferences. The margin per trade is set to $1,000 by default, but users are encouraged to experiment with different margin settings in the configuration to match their trading style. Rules of the “Hosoda’s Clouds” System (Bullish Strategy) This strategy is designed to capture trending movements in bullish markets using the Ichimoku Kinko Hyo indicator. The rules are as follows: Long Entry: A long position is triggered when the Tenkan-sen crosses above the Kijun-sen below the Ichimoku cloud, identifying potential reversals or bounces in a bearish context. Stop Loss (SL): Placed at the low of the candle 12 bars prior to the entry candle. This setting has proven optimal in my tests, but it can be adjusted in the code based on risk tolerance. Take Profit (TP): The position is closed when the Tenkan-sen crosses below the bottom of the Ichimoku cloud (the minimum of Senkou Span A and Senkou Span B). Notes on the Code margin_long=0: Ideal for strategies requiring a fixed position size, particularly useful for manual entries or testing with a constant capital allocation. margin_long=100: Recommended for high-frequency systems where positions are closed quickly, simulating gradual growth based on realized profits and reflecting real-world broker constraints. System Performance The following performance metrics account for $1 per order commissions and were tested on the specified assets and timeframes: Tesla (H1) Trades: 148 Win Rate: 29.05% Period: Jan 2, 2014 – Jan 6, 2020 (+172%) Simple Annual Growth Rate: +34.3% Trades: 130 Win Rate: 30.77% Period: Jan 2, 2020 – Sep 24, 2025 (+858.90%) Simple Annual Growth Rate: +150.7% Tesla (H4) Trades: 102 Win Rate: 32.35% Period: Jun 29, 2010 – Sep 24, 2025 (+11,356.36%) Simple Annual Growth Rate: +758.5% Tesla (Daily) Trades: 56 Win Rate: 35.71% Period: Jun 29, 2010 – Sep 24, 2025 (+3,166.64%) Simple Annual Growth Rate: +211.5% BTC/USDT (Daily) Trades: 44 Win Rate: 31.82% Period: Sep 30, 2017 – Sep 24, 2025 (+2,592.23%) Simple Annual Growth Rate: +324.8% SPY (Daily) Trades: 81 Win Rate: 37.04% Period: Jan 23, 1993 – Sep 24, 2025 (+476.90%) Simple Annual Growth Rate: +14.3% XAU/USD (Daily) Trades: 216 Win Rate: 32.87% Period: Jan 6, 1833 – Sep 24, 2025 (+5,241.73%) Simple Annual Growth Rate: +27.1% SPX (Daily) Trades: 217 Win Rate: 38.25% Period: Feb 1, 1871 – Sep 24, 2025 (+16,791.02%) Simple Annual Growth Rate: +108.1% Conclusion With the “ Hosoda’s Clouds ” strategy, I aim to showcase the potential of technical analysis to generate consistent profits in trending markets, challenging recent doubts about its effectiveness. My goal is for this system to serve as both a practical tool for traders and a source of inspiration for the trading community I deeply respect. I hope it encourages the creation of new strategies, fosters creativity in technical analysis, and empowers traders to approach the markets with confidence and discipline.
Strategia Pine Script®
di Especulador96
2
Pairs Trading Scanner [BackQuant]Pairs Trading Scanner What it is This scanner analyzes the relationship between your chart symbol and a chosen pair symbol in real time. It builds a normalized “spread” between them, tracks how tightly they move together (correlation), converts the spread into a Z-Score (how far from typical it is), and then prints clear LONG / SHORT / EXIT prompts plus an at-a-glance dashboard with the numbers that matter. Why pairs at all? Markets co-move. When two assets are statistically related, their relationship (the spread) tends to oscillate around a mean. Pairs trading doesn’t require calling overall market direction you trade the relative mispricing between two instruments. This scanner gives you a robust, visual way to find those dislocations, size their significance, and structure the trade. How it works (plain English) Step 1 Pick a partner: Select the Pair Symbol to compare against your chart symbol. The tool fetches synchronized prices for both. Step 2 Build a spread: Choose a Spread Method that defines “relative value” (e.g., Log Spread, Price Ratio, Return Difference, Price Difference). Each lens highlights a different flavor of divergence. Step 3 Validate relationship: A rolling Correlation checks if the pair is moving together enough to be tradable. If correlation is weak, the scanner stands down. Step 4 Standardize & score: The spread is normalized (mean & variability over a lookback) to form a Z-Score . Large absolute Z means “stretched,” small means “near fair.” Step 5 Signals: When the Z-Score crosses user-defined thresholds with sufficient correlation , entries print: LONG = long chart symbol / short pair symbol, SHORT = short chart symbol / long pair symbol, EXIT = mean reversion into the exit zone or correlation failure. Core concepts (the three pillars) Spread Method Your definition of “distance” between the two series. Guidance: Log Spread: Focuses on proportional differences; robust when prices live on different scales. Price Ratio: Classic relative value; good when you care about “X per Y.” Return Difference: Emphasizes recent performance gaps; nimble for momentum-to-mean plays. Price Difference: Straight subtraction; intuitive for similar-scale assets (e.g., two ETFs). Correlation A rolling score of co-movement. The scanner requires it to be above your Min Correlation before acting, so you’re not trading random divergence. Z-Score “How abnormal is today’s spread?” Positive = chart richer than pair; negative = cheaper. Thresholds define entries/exits with transparent, statistical context. What you’ll see on the chart Correlation plot (blue line) with a dashed Min Correlation guide. Above the line = green zone for signals; below = hands off. Z-Score plot (white line) with colored, dashed Entry bands and dotted Exit bands. Zero line for mean. Normalized spread (yellow) for a quick “shape read” of recent divergence swings. Signal markers : LONG (green label) when Z < –Entry and corr OK, SHORT (red label) when Z > +Entry and corr OK, EXIT (gray label) when Z returns inside the Exit band or correlation drops below the floor. Background tint for active state (faint green for long-spread stance, faint red for short-spread stance). The two built-in dashboards Statistics Table (top-right) Pair Symbol Your chosen partner. Correlation Live value vs. your minimum. Z-Score How stretched the spread is now. Current / Pair Prices Real-time anchors. Signal State NEUTRAL / LONG / SHORT. Price Ratio Context for ratio-style setups. Analysis Table (bottom-right) Avg Correlation Typical co-movement level over your window. Max |Z| The recent extremes of dislocation. Spread Volatility How “lively” the spread has been. Trade Signal A human-readable prompt (e.g., “LONG A / SHORT B” or “NO TRADE” / “LOW CORRELATION”). Risk Level LOW / MEDIUM / HIGH based on current stretch (absolute Z). Signals logic (plain English) Entry (LONG): The spread is unusually negative (chart cheaper vs pair) and correlation is healthy. Expect mean reversion upward in the spread: long chart, short pair. Entry (SHORT): The spread is unusually positive (chart richer vs pair) and correlation is healthy. Expect mean reversion downward in the spread: short chart, long pair. Exit: The spread relaxes back toward normal (inside your exit band), or correlation deteriorates (relationship no longer trusted). A quick, repeatable workflow 1) Choose your pair in context (same sector/theme or known macro link). Think: “Do these two plausibly co-move?” 2) Pick a spread lens that matches your narrative (ratio for relative value, returns for short-term performance gaps, etc.). 3) Confirm correlation is above your floor no corr, no trade. 4) Wait for a stretch (Z beyond Entry band) and a printed LONG / SHORT . 5) Manage to the mean (EXIT band) or correlation failure; let the scanners’ state/labels keep you honest. Settings that matter (and why) Spread Method Defines the “mispricing” you care about. Correlation Period Longer = steadier regime read, shorter = snappier to regime change. Z-Score Period The window that defines “normal” for the spread; it sets the yardstick. Use Percentage Returns Normalizes series when using return-based logic; keep on for mixed-scale assets. Entry / Exit Thresholds Set your stretch and your target reversion zone. Wider entries = rarer but stronger signals. Minimum Correlation The gatekeeper. Raising it favors quality over quantity. Choosing pairs (practical cheat sheet) Same family: two index ETFs, two oil-linked names, two gold miners, two L1 tokens. Hedge & proxy: stock vs. sector ETF, BTC vs. BTC index, WTI vs. energy ETF. Cross-venue or cross-listing: instruments that are functionally the same exposure but price differently intraday. Reading the cues like a pro Divergence shape: The yellow normalized spread helps you see rhythm fast spike and snap-back versus slow grind. Corr-first discipline: Don’t fight the “Min Correlation” line. Good pairs trading starts with a relationship you can trust. Exit humility: When Z re-centers, let the EXIT do its job. The edge is the journey to the mean, not overstaying it. Frequently asked (quick answers) “Long/Short means what exactly?” LONG = long the chart symbol and short the pair symbol. SHORT = short the chart symbol and long the pair symbol. “Do I need same price scales?” No. The spread methods normalize in different ways; choose the one that fits your use case (log/ratio are great for mixed scales). “What if correlation falls mid-trade?” The scanner will neutralize the state and print EXIT . Relationship first; trade second. Field notes & patterns Snap-back days: After a one-sided session, return-difference spreads often flag cleaner intraday mean reversions. Macro rotations: Ratio spreads shine during sector re-weights (e.g., value vs. growth ETFs); look for steady corr + elevated |Z|. Event bleed-through: If one symbol reacts to news and its partner lags, Z often flags a high-quality, short-horizon re-centering. Display controls at a glance Show Statistics Table Live state & key numbers, top-right. Show Analysis Table Context/risk read, bottom-right. Show Correlation / Spread / Z-Score Toggle the sub-charts you want visible. Show Entry/Exit Signals Turn markers on/off as needed. Coloring Adjust Long/Short/Neutral and correlation line colors to match your theme. Alerts (ready to route to your workflow) Pairs Long Entry Z falls through the long threshold with correlation above minimum. Pairs Short Entry Z rises through the short threshold with correlation above minimum. Pairs Trade Exit Z returns to neutral or the relationship fails your correlation floor. Correlation Breakdown Rolling correlation crosses your minimum; relationship caution. Final notes The scanner is designed to keep you systematic: require relationship (correlation), quantify dislocation (Z-Score), act when stretched, stand down when it normalizes or the relationship degrades. It’s a full, visual loop for relative-value trading that stays out of your way when it should and gets loud only when the numbers line up.
Indicatore Pine Script®
di BackQuant
10-Crypto Normalized IndexOverview This indicator builds a custom index for up to 10 cryptocurrencies and plots their combined trend as a single line. Each coin is normalized to 100 at a user-selected base date (or at its first available bar), then averaged (equally or by your custom weights). The result lets you see the market direction of your basket at a glance. How it works For each symbol, the script finds a base price (first bar ≥ the chosen base date; or the first bar in history if base-date normalization is off). It converts the current price to a normalized value: price / base × 100. It then computes a weighted average of those normalized values to form the index. A dotted baseline at 100 marks the starting point; values above/below 100 represent % performance vs. the base. Key inputs Symbols (10 max): Default set: BTC, ETH, SOL, POL, OKB, BNB, SUI, LINK, 1INCH, TRX (USDT pairs). You can change exchange/quote (keep all the same quote, e.g., all USDT). Weights: Toggle equal weights or enter custom weights. Custom weights are auto-normalized internally, so they don’t need to sum to 1. Base date: Year/Month/Day (default: 2025-06-01). Turning normalization off uses each symbol’s first available bar as its base. Smoothing: Optional SMA to reduce noise. Show baseline: Toggle the horizontal line at 100. Interpretation Index > 100 and rising → your basket is up since the base date. Index < 100 and falling → down since the base date. Use shorter timeframes for intraday sentiment, higher timeframes for swing/trend context. Default basket & weights (editable) Order: BTC, ETH, SOL, POL, OKB, BNB, SUI, LINK, 1INCH, TRX. Default custom weight factors: 30, 30, 20, 10, 10, 5, 5, 5, 5, 5 (auto-normalized). Base date: 2025-06-01.
Indicatore Pine Script®
di kithrog
Natal & Transit Planetary Aspect Table📐 Natal & Transit Planetary Aspect Table This open-source TradingView indicator displays a customizable table of astrological aspects between natal (first trade or custom date) planetary positions and current/live transits. Built in Pine Script v6, it leverages the AstroLib library for accurate geocentric or heliocentric longitude calculations, supporting a range of financial assets and historical events. Ideal for astro-finance enthusiasts, it highlights major and minor aspects with orbs, applying/separating status, and color-coded visuals. Supports 10 planetary bodies in geocentric mode (Sun, Moon, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto) or 11 in heliocentric mode (adds Earth). Why Use This Indicator? Astrology offers a unique lens for market analysis by examining planetary alignments relative to an asset's "birth" date (e.g., first trade), potentially revealing cycles, trends, and timing insights that complement technical and fundamental strategies. This tool empowers traders to integrate astro-finance principles, visualizing cosmic influences that may correlate with price movements, reversals, or volatility—backed by historical presets and customizable options for personalized research. Key Features: - 23 preset natal dates for assets like BTC, ETH, NYSE, and more (e.g., BTC genesis block on 2009-01-03), with credits to Susan Abbott Gidel for most of the first trade dates from her book " Trading In Sync With Commodities: Introducing Astrology To Your Technical Toolbox ." - Manual natal and transit timestamp inputs for flexibility. - Supports geocentric (default) or heliocentric views (displayed as 𝒢 or ℋ in the table), with adjustable observer location (latitude, longitude, timezone). - Configurable aspects: Conjunction (☌), Opposition (☍), Trine (△), Square (□), Sextile (⚹), and minors like Semi-Sextile (⚺), Quincunx (⚻), etc., with user-defined orbs and colors. - Applying (a) or separating (s) status is determined by comparing the orb on the current bar to the previous one—if decreasing, applying; if increasing, separating. This simplified approach may differ from traditional astrological methods that consider planetary speeds, directions (direct/retrograde), and which body is faster/slower. - Table displays planet symbols or names, degrees/signs with tooltips showing exact longitude (e.g., hovering over a planet symbol reveals its precise degree), and aspect symbols/tags (e.g., ⚹a for applying sextile). - Tooltip on the dates cell to view the exact transit and natal dates for easy tracking. - Live mode updates with chart timeframe; test mode allows the user to move the transit date historically or to the future via a custom timestamp. - Customizable table position, text size, colors, and visibility. How to Use: 1. Add the indicator to your TradingView chart. 2. Select a preset or manual natal date in settings. 3. Choose live transits or test mode with a custom timestamp. 4. Enable/disable aspects and adjust orbs/colors as needed. 5. Hover over cells for detailed tooltips (e.g., exact orb and applying/separating status). Powered by @BarefootJoey AstroLib for ephemeris data. For best accuracy, verify positions against external sources.
Indicatore Pine Script®
di BlueprintResearch
2
Dynamic S/R System - Pivot + ChannelDynamic S/R System - Pivot + Channel A comprehensive Support & Resistance indicator combining dual methodologies for institutional-grade price level analysis 📊 CORE FEATURES Dual Detection System • Pivot-Based Levels - Historical turning points with intelligent touch counting • Dynamic Channel S/R - Trend-aware linear regression boundaries • Smart Level Management - Auto-merges similar levels, removes weak/outdated ones Volume Integration • Multi-timeframe volume analysis using EMA oscillator and spike detection • Volume confirmation for all breakout signals to filter false moves • Real-time volume status (Normal/High/Spike) in live information panel Intelligent Touch Counting • Automatic level validation through touch frequency analysis • Strength classification with visual differentiation (colors/thickness) • Level labels showing exact touch count (S3, R5, etc.) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎨 VISUAL ELEMENTS Line System Solid Lines: Pivot-based S/R levels Dashed Lines: Dynamic channel boundaries Color Coding: • 🔵 Blue/🔴 Red: Standard support/resistance • 🟠 Orange: Strong levels (multiple touches) • 🟣 Purple: Channel S/R levels Signal Labels • "B" - Pivot S/R breakout with volume confirmation • "CB" - Channel boundary breakout • "Bull/Bear Wick" - False breakout detection (wick rejections) Information Panel Real-time analysis displays: • Total resistance/support levels detected • Closest S/R levels to current price • Volume status and position relative to levels • Current market position assessment ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ KEY ADVANTAGES Multi-Method Validation Combines historical pivot analysis with dynamic trend channels for comprehensive market view False Breakout Protection • Volume confirmation requirements • Wick analysis to identify failed attempts • Multiple validation criteria before signal generation Adaptive Level Management • Automatically updates as new pivots form • Removes outdated/weak levels • Maintains clean, relevant level display Institutional-Grade Analysis • Touch counting reveals institutional respect levels • Volume integration shows smart money activity • Strength classification identifies high-probability zones ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⏰ OPTIMAL USE CASES Best Timeframes • Daily - Primary recommendation for swing trading • 4-Hour - Intraday analysis and entries • Weekly - Long-term position planning Ideal Markets • Crypto pairs (especially ETH/BTC, BTC/USD) • Forex majors with good volume data • Large-cap stocks with institutional participation Trading Applications • Entry/exit planning around key S/R levels • Breakout confirmation with volume validation • Risk management using nearest S/R for stops • Trend analysis through channel dynamics ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ CONFIGURATION GUIDELINES Conservative Setup (Higher Confidence) Min Pivot Strength: 3-4 Volume Threshold: 25-30% Max Levels: 6-8 Aggressive Setup (More Signals) Min Pivot Strength: 2 Volume Threshold: 15-20% Max Levels: 10-12 🔔 ALERT SYSTEM Breakout Alerts • Resistance/Support breaks with volume confirmation • Channel boundary violations • Approaching strong S/R levels Advanced Notifications • Strong level approaches (within 0.5% of price) • False breakout detection • Volume spike confirmations 📈 TRADING STRATEGY GUIDE Entry Strategy 1. Wait for price to approach identified S/R level 2. Confirm with volume analysis (spike/high volume preferred) 3. Watch for wick formations indicating rejection 4. Enter on confirmed breakout with volume or bounce with rejection Risk Management • Use nearest S/R level for stop placement • Scale position size based on level strength (touch count) • Monitor volume confirmation for exit signals Market Context • Combine with higher timeframe trend analysis • Consider overall market sentiment and volatility • Use channel direction for bias confirmation Transform complex S/R analysis into actionable trading intelligence with institutional-level insights for professional trading decisions.
Indicatore Pine Script®
di lazy_capitalist
2
Market to NAV Premium Arbitrage Alpha IndicatorBitcoin treasury companies such as Microstrategy are known for trading at significant premiums. but how big exactly is the premium? And how can we measure it in real time? I developed this quantitative tool to identify statistical mispricings between market capitalization and net asset value (NAV), specifically designed for arbitrage strategies and alpha generation in Bitcoin-holding companies, such as MicroStrategy or Sharplink Gaming, or SPACs used primarily to hold cryptocurrencies, Bitcoin ETFs, and other NAV-based instruments. It can probably also be used in certain spin-offs. KEY FEATURES: ✅ Real-time Premium/Discount Calculation • Automatically retrieves market cap data from TradingView • Calculates precise NAV based on underlying asset holdings (for example Bitcoin) • Formula: (Market Cap - NAV) / NAV × 100 ✅ Statistical Analysis • Historical percentile rankings (customizable lookback period) • Standard deviation bands (2σ) for extreme value detection (close to these values might be seen as interesting points to short or go long) • Smoothing period to reduce noise ✅ Multi-Source Market Cap Detection • You can add the ticker of the NAV asset, but if necessary, you can also put it manually. Priority system: TradingView data → Calculated → Manual override ✅ Advanced NAV Modeling • Basic NAV: Asset holdings + cash. • Adjusted NAV: Includes software business value, debt, preferred shares. If the company has a lot of this kind of intrinsic value, put it in the "cash" field • Support for any underlying asset (BTC, ETH, etc.) TRADING APPLICATIONS: 🎯 Pairs Trading Signals • Long/Short opportunities when premium reaches statistical extremes • Mean reversion strategies based on historical ranges • Risk-adjusted position sizing using percentile ranks 🎯 Arbitrage Detection • Identifies when market pricing significantly deviates from fair value • Quantifies the magnitude of mispricing for profit potential • Historical context for timing entry/exit points CONFIGURATION OPTIONS: • Underlying Asset: Any symbol (default: COINBASE:BTCUSD) NEEDS MANUAL INPUT • Asset Quantity: Precise holdings amount (for example, how much BTC does the company currently hold). NEEDS MANUAL INPUT • Cash Holdings: Additional liquid assets. NEEDS MANUAL INPUT • Market Cap Mode: Auto-detect, calculated, or manual • Advanced Adjustments: Business value, debt, preferred shares • Display Settings: Lookback period, smoothing, custom colors IT CAN BE USED BY: • Quantitative traders focused on statistical arbitrage • Institutional investors monitoring NAV-based instruments • Bitcoin ETF and MSTR traders seeking alpha generation • Risk managers tracking premium/discount exposures • Academic researchers studying market efficiency (as you can see, markets are not efficient 😉)
Indicatore Pine Script®
di HenriqueCentieiro
Crowding model ║ BullVision🔬 Overview The Crypto Crowding Model Pro is a sophisticated analytical tool designed to visualize and quantify market conditions across multiple cryptocurrencies. By leveraging Relative Strength Index (RSI) and Z-score calculations, this indicator provides traders with an intuitive and detailed snapshot of current crypto market dynamics, highlighting areas of extreme momentum, crowded trades, and potential reversal points. ⚙️ Key Concepts 📊 RSI and Z-Score Analysis RSI (Relative Strength Index) evaluates the momentum and strength of each cryptocurrency, identifying overbought or oversold conditions. Z-Score Normalization measures each asset's current price deviation relative to its historical average, identifying statistically significant extremes. 🎯 Crowding Analytics An integrated analytics panel provides real-time crowding metrics, quantifying market sentiment into four distinct categories: 🔥 FOMO (Fear of Missing Out): High momentum, potential exhaustion. ❄️ Fear: Low momentum, potential reversal or consolidation. 📈 Recovery: Moderate upward momentum after a downward trend. 💪 Strength: Stable bullish conditions with sustained momentum. 🖥️ Visual Scatter Plot Assets are plotted on a dynamic scatter plot, positioning each cryptocurrency according to its RSI and Z-score. Color coding, symbol shapes, and sizes help quickly identify main market segments (BTC, ETH, TOTAL, OTHERS) and individual asset conditions. 🧩 Quadrant Classification Assets are categorized into four quadrants based on their momentum and deviation: Overbought Extended: High RSI and positive Z-score. Recovery Phase: Low RSI but positive Z-score. Oversold Compressed: Low RSI and negative Z-score. Strong Consolidation: High RSI but negative Z-score. 🔧 User Customization 🎨 Visual Settings Bar Scale: Adjust the scatter plot visual scale. Asset Visibility: Optionally display key market benchmarks (TOTAL, BTC, ETH, OTHERS). Gradient Background: Enhances visual interpretation of asset clusters. Crowding Analytics Panel: Toggle the analytics panel on/off. 📊 Indicator Parameters RSI Length: Defines the calculation period for RSI. Z-score Lookback: Historical lookback period for normalization. Crowding Alert Threshold: Sets alert sensitivity for crowded market conditions. 🎯 Zone Settings Quadrant Labels: Displays descriptive labels for each quadrant. Danger Zones: Highlights extreme RSI levels indicative of heightened market risk. 📈 Visual Output Dynamic Scatter Plot: Visualizes asset positioning clearly and intuitively. Gradient and Grid: Professional gridlines and subtle gradient backgrounds assist visual assessment. Danger Zone Highlights: Visually indicates RSI extremes to warn of potential market turning points. Crowding Analytics Panel: Real-time summary of market sentiment and asset distribution. 🔍 Use Cases This indicator is particularly beneficial for traders and analysts looking to: Identify crowded trades and potential reversal points. Quickly assess overall market sentiment and individual asset strength. Integrate a robust momentum analysis into broader technical or fundamental strategies. Enhance market timing and improve risk management decisions. ⚠️ Important Notes This indicator does not provide explicit buy or sell signals. It is intended solely for informational, analytical, and educational purposes. Past performance and signals are not indicative of future market results. Always combine with additional tools and analysis as part of comprehensive decision-making.
Indicatore Pine Script®
di BullVisionCapital
12