Dinkan Dynamic Price Action ToolsDetect market structure, Order Blocks, and key supply–demand areas with pure price action.
This indicator automatically identifies Major and Minor Order Blocks, Break of Structure (BoS), and Change of Character (ChoCh) — helping traders see market transitions clearly without volume or lagging filters.
✨ Key Features
🔹 Auto-detection of Major & Minor Order Blocks (Supply / Demand Zones)
🔹 BoS / ChoCh detection for structure shifts
🔹 Liquidity sweep labeling for trapped-liquidity areas
🔹 Dynamic zone drawing with clean visuals
🔹 Works on all timeframes and symbols
🔹 Lightweight, no repaint, and easy to customize
⚙️ How It Works
The indicator reads price structure and swing points to identify institutional footprints, highlighting zones where price has previously shown strong reactions.
As new structure forms, zones update automatically, giving traders a real-time view of potential reaction areas.
🧩 Ideal For
Price-action traders
ICT / SMC-based traders
Swing and intraday traders
Anyone who prefers chart clarity and structure-based confluence
⚠️ Disclaimer
This script is designed for educational and informational purposes only.
It does not constitute financial advice or a trading signal service.
All trading decisions are solely the responsibility of the user.
Past performance of any trading idea or strategy does not guarantee future results.
Always practice proper risk management and test thoroughly before using in live markets.
Sentiment
Volatility Rank DashboardA dynamic multi-symbol dashboard that ranks assets live by their normalized volatility across multiple dimensions.
How it works:
The script scans up to 40 symbols (per TradingView request limits), calculating for each:
ATR% – average true range as a percentage of price (true volatility)
BB Width% – Bollinger Band width as relative spread (market compression/expansion)
Volume or Notional – filters or weights activity by liquidity
A composite volatility score is computed using adjustable weights (ATR%, BB%, Volume).
Symbols are ranked in real time on a color-coded table, highlighting the most volatile and active markets.
Extra features:
Session filter (London, New York, or custom trading hours)
Alerts for ATR% / BB% threshold cross or when a new #1 appears
Automatic 40-request safety management
Adaptive color heat map for instant visual comparison
Use it to quickly identify which assets are moving, liquid, and worth your attention — across any asset class or timeframe.
Sri - Relative Trend Index (RTI) with CTF🧭 Sri - Relative Trend Index (RTI) with Custom Timeframe (CTF)
Developed by Venkat Raman (Sri)
📘 Overview
The Relative Trend Index (RTI) is a proprietary oscillator designed to measure trend strength, direction, and relative positioning within a smoothed statistical band.
Unlike standard oscillators, RTI adapts dynamically using custom timeframe data (CTF), allowing traders to evaluate multi-timeframe trend momentum and reversals more effectively.
The indicator uses standard deviation envelopes and quantile-based sensitivity to calculate upper and lower dynamic bands, then measures the relative position of the current price within those bands — resulting in a smoothed, normalized trend index scaled from 0 to 100.
⚙️ Key Features
✅ Custom Timeframe Input (CTF):
Analyze RTI on any timeframe (e.g., 60m, 120m, 1D) while viewing on lower or higher charts.
✅ Color-coded RTI Line:
Green when RTI is above the 50 baseline → bullish trend momentum.
Red when RTI is below the 50 baseline → bearish trend momentum.
✅ Adaptive Smoothing:
Smoothing automatically adjusts based on sensitivity.
Higher sensitivity = smoother RTI curve (reduces noise).
✅ Dynamic Quantile Calculation:
RTI uses quantile-based ranking of upper and lower volatility bands, making it adaptive to market volatility and minimizing lag.
✅ Overbought/Oversold & Mid Levels:
Visual reference zones for identifying potential exhaustion or reversal regions:
Overbought: Default 80
Oversold: Default 20
Midline: 50
✅ Smoothed Signal Line:
Provides an additional reference curve for crossover signals and confirmation.
✅ Visual Clarity:
Clean color-coded plots
Overbought/Oversold fill shading
Adaptive smoothing curve overlay
✅ Alert Conditions Included:
Ready-to-use alerts for:
Crossing overbought/oversold levels
Crossing midline (50)
Signal crossovers between RTI and smoothed line
🧩 Inputs Explained
Input Description
Custom Timeframe (CTF) Selects timeframe used for RTI calculation (e.g., 60, 120, D).
Trend Length Period used to calculate trend envelope range.
Sensitivity Adjusts responsiveness (lower = faster, higher = smoother).
Base Smoothing Length Controls EMA smoothing of the signal line.
Overbought / Oversold Thresholds for reversal or momentum exhaustion zones.
🟩 Interpretation
RTI > 50 (Green): Uptrend or bullish bias; stronger if rising toward 80+.
RTI < 50 (Red): Downtrend or bearish bias; stronger if falling toward 20 or below.
Crossing 50: Often indicates a shift in momentum.
Signal crossover (RTI vs. EMA): Potential early entry/exit trigger.
🔔 Built-In Alerts
RTI crossing Overbought / Oversold
RTI crossing 50 baseline
RTI crossing Smoothed Signal Line
🧠 Suggested Uses
Combine with volume, price structure, or volatility-based tools for confirmation.
Use higher-timeframe RTI (via CTF) as a trend filter and lower-timeframe RTI for entry timing.
Ideal for swing traders and intraday analysts seeking adaptive trend strength confirmation.
🎨 Color Scheme
Element Color Meaning
RTI Line 🟢 Green / 🔴 Red Above or below 50 baseline
Smoothed RTI 🔵 Blue (light) Reference EMA of RTI
Background Fill 🩵 Soft Teal Highlights oscillator zone
💡 Note
This is a proprietary adaptation of the Relative Trend Index concept by Sri (Venkat Raman), optimized for flexibility, visual clarity, and dynamic responsiveness across multiple timeframes.
TrueOI - Ktsoev CryptoCumulative open interest on major exchanges (Binance, Bitmex, Kraken, Bybit, Mexc, Okx, Bitget, BingX, Gate, Kucoin)
Lakshman Rekha [CSN]Indicator Name: Lakshman Rekha
Description:
Lakshman Rekha is a powerful and intelligently designed indicator that automatically identifies Support and Resistance levels using advanced mathematical algorithms based on the Gann Fortune methodology. It dynamically calculates and plots Daily, Weekly, Monthly, and Yearly levels to help traders recognize crucial price zones, potential reversal areas, and breakout points with exceptional accuracy.
This indicator seamlessly integrates the Gann Fortune Algorithm with the Relative Strength Index (RSI) and the Simple Moving Average (SMA) to deliver a well-structured and reliable trading system.
It uses the following configurations on a 5-minute timeframe:
SMA (14-period)
RSI (10-period)
Trading Approach:
In Nifty, traders are advised to book profits after a 60-point move or apply a trailing stop to capture extended trends.
In Bank Nifty, the recommended target or trailing level is 100 points for optimal trade management.
Lakshman Rekha offers traders a balanced combination of algorithmic precision, technical confluence, and price-action reliability.
We are providing free access to this indicator, allowing users to test, experience, and contribute valuable insights to enhance its performance.
This indicator is ideally suited for intraday and short-term swing traders seeking a systematic approach that blends mathematical structure, momentum analysis, and trend confirmation for consistent trading outcomes.
Sentiment NavigatorFREE|SuperFundedSentiment Navigator — Momentum × Volatility Heatmap
What it is
Sentiment Navigator blends momentum (RSI) with volatility (ATR normalized by price) to visualize market psychology using a background heatmap and a lower oscillator.
・Background: quick read of the market’s “temperature” → Extreme Greed / Greed / Neutral / Fear / Extreme Fear.
・Oscillator: a bounded sentiment score from -100 to +100 showing bias strength and potential extremes.
Why this is not a simple mashup
Instead of showing RSI and ATR separately, this tool integrates them into a single, weighted score and a state machine:
・Context-aware weighting: When volatility is high (ATR vs its SMA baseline), the score is amplified, reflecting that momentum matters more in turbulent regimes.
・Unified states: RSI thresholds classify regimes (Greed/Fear) and are conditioned by volatility to promote Extreme states only when justified.
・Actionable cues: Reversal labels appear at the extreme levels with candle confirmation to reduce noise.
How it works (concise)
1. Momentum: RSI(len) (default 21).
2. Volatility: ATR(len)/close*100 (default ATR=14), smoothed by SMA(volSmaLen) and compared using volMultiplier.
3. Sentiment score: transform RSI to (-100..+100) via (RSI-50)*2, then amplify ×1.5 when high volatility. Finally clamp to .
4. States:
・RSI > greedLevel → Greed (upgraded to Extreme Greed if high vol)
・RSI < fearLevel → Fear (upgraded to Extreme Fear if high vol)
・else Neutral
5. Plotting:
・Oscillator (area) with 0-line and dotted extreme bands.
・Background color by state (greens for Greed, reds for Fear, gray for Neutral).
6. Signals (optional):
・Buy: crossover(score, -extremeGreedLevel) and close > open → prints ▲ at -extremeGreedLevel
・Sell: crossunder(score, extremeGreedLevel) and close < open → prints ▼ at +extremeGreedLevel
Parameters (UI mapping)
Core
・RSI Length (rsiLen)
・ATR Length (atrLen)
・Volatility SMA Length (volSmaLen)
・High-Vol Multiplier (volMultiplier)
State thresholds
・Extreme Greed (extremeGreedLevel)
・Greed (greedLevel)
・Fear (fearLevel)
・Extreme Fear (extremeFearLevel)
Display
・Show Background (showBgColor)
・Show Reversal Signals (showSignals)
Practical usage
・Regime read: Treat greens as risk-on bias, reds as risk-off, gray as indecision.
・Entries: Use ▲/▼ as triggers, not commands—wait for price action (wicks/engulfings) at structure.
・Extreme management: At Extreme states, favor mean-reversion tactics; in plain Greed/Fear with low vol, trends may persist longer.
・Tuning:
・Raise greedLevel/fearLevel to reduce signals.
・Increase volMultiplier to demand stronger vol for “Extreme” states.
Repainting & confirmation
Signals rely on cross events of the oscillator; judge on bar close for stricter rules. Background/state can change intrabar as RSI/ATR evolve.
Disclaimer
No indicator guarantees outcomes. News/liquidity can override signals. Trade responsibly with proper risk controls.
Sentiment Navigator — クイックガイド（日本語）
概要
本インジは RSI（モメンタム） と ATR/価格（ボラティリティ） を統合し、背景のヒートマップと下部オシレーターで市場心理を可視化します。
・背景色：極度の強欲 / 強欲 / 中立 / 恐怖 / 極度の恐怖 を直感表示。
・オシレーター：-100〜+100 のスコアでバイアスの強さと過熱を示します。
独自性・新規性
・高ボラ状態ではスコアを増幅し、同じRSIでも環境次第で体感インパクトを反映。
・RSIしきい値×ボラで極端ゾーンの発生を制御し、意義のあるExtremeのみ点灯。
・反転ラベルは極端レベルのクロス＋ローソク条件で点灯し、ノイズを抑制。
仕組み（要点）
1. RSI を算出。
2. ATR/close*100 を SMA と比較し、しきい値倍率で高ボラを判定。
3. score = (RSI-50)*2 を 高ボラで×1.5、 にクランプ。
4. 状態：RSI>Greed → Greed/Extreme Greed、RSI
Cumulative Volume DeltaCumulative Volume Delta (CVD) Indicator
This indicator is a modification of the Trading View CVD indicator. Cumulative Volume Delta (CVD), which represents the net difference between up volume (volume traded as the price increases) and down volume (volume traded as the price decreases) over a chosen Anchor Period.
The data for the CVD calculation is requested using the built-in ta.requestVolumeDelta function from a lower timeframe to approximate the directional volume with greater precision. This lower timeframe is either automatically selected based on the chart's timeframe or can be customized by the user.
Key Features and Inputs
Anchor Period: Defines the period over which the volume delta is accumulated and plotted. The default is "1D" (Daily), but it can be changed to any higher timeframe (e.g., "1W" for Weekly) to analyze CVD across different cycles.
CVD Candle Plot: The calculated volume delta values are plotted as a custom candle, where:
The open and close of the CVD candle represent the volume delta at the start and end of the anchor period, respectively.
The high and low represent the maximum and minimum volume delta reached during that period.
Up/Down Coloring Logic: The color of the CVD candle is determined by the directional movement of the price during the anchor period, allowing traders to quickly correlate volume delta with price action. Users can select between two methods via the "Strong Up/Down Coloring" input:
Strong Up/Down (Default): The candle is colored bullish (Teal) if the current price closes above the previous bar's high or bearish (Red) if it closes below the previous bar's low. This logic highlights significant momentum.
Regular Up/Down: The candle is colored bullish (Teal) if the close is greater than the open (price moved up) or bearish (Red) if the close is less than the open (price moved down).
Lower Timeframe Selection: This determines the resolution of the up and down volume components.
By default, the script automatically selects an appropriate lower timeframe (e.g., "1" minute for intraday charts, "5" minutes for daily charts) to balance historical data availability with calculation precision.
An option is provided to customize this "Lower Timeframe" for advanced users seeking higher or lower resolution.
The CVD indicator is a powerful tool for analyzing order flow dynamics and assessing the genuine strength of price movements by comparing the aggregate buying pressure (up volume) against the selling pressure (down volume).
Technical Notes (Code Details)
Language: Pine Script® //@version=6.
Function: Utilizes the ta.requestVolumeDelta() function with a user-defined anchorInput (default "1D") and a determined lowerTimeframe to retrieve the relevant delta data: .
Error Handling: Includes a check to confirm the symbol provides volume data, preventing runtime errors.
Smart Money Volume Activity [AlgoAlpha]🟠 OVERVIEW
This tool visualizes how Smart Money and Retail participants behave through lower-timeframe volume analysis. It detects volume spikes far beyond normal activity, classifies them as institutional or retail, and projects those zones as reactive levels. The script updates dynamically with each bar, showing when large players enter while tracking whether those events remain profitable. Each event is drawn as a horizontal line with bubble markers and summarized in a live P/L table comparing Smart Money versus Retail.
🟠 CONCEPTS
The core logic uses Z-score normalization on lower-timeframe volumes (like 5m inside a 1h chart). This lets the script detect statistically extreme bursts of buying or selling activity. It classifies each detected event as:
Smart Money — volume inside the candle body (suggesting hidden accumulation or distribution)
Retail — volume closing at bar extremes (suggesting chase entries or panic exits)
When new events appear, the script plots them as horizontal levels that persist until price interacts again. Each level acts as a potential reaction zone or liquidity footprint. The integrated P/L table then measures which class (Retail or Smart Money) is currently “winning” — comparing cumulative profitable versus losing volume.
🟠 FEATURES
Classifies flows into Smart Money or Retail based on candle-body context.
Displays live P/L comparison table for Smart vs Retail performance.
Alerts for each detected Smart or Retail buy/sell event.
🟠 USAGE
Setup : Add the script to any chart. Set Lower Timeframe Value (e.g., “5” for 5m) smaller than your main chart timeframe. The Period input controls how many bars are analyzed for the Z-score baseline. The Threshold (|Z|) decides how extreme a volume must be to plot a level.
Read the chart : Horizontal lines mark where heavy Smart or Retail volume occurred. Bright bubbles show the strongest events — their size reflects Z-score intensity. The on-chart table updates live: green cells show profitable flows, red cells show losing flows. A dominant green Smart Money row suggests institutions are currently controlling price.
See what others are doing :
Settings that matter : Raising Threshold (|Z|) filters noise, showing only large players. Increasing Period smooths results but reacts slower to new bursts. Use Show = “Both” for full comparison or isolate “Smart Money” / “Retail” to focus on one class.
Market Regime IndexThe Market Regime Index is a top-down macro regime nowcasting tool that offers a consolidated view of the market’s risk appetite. It tracks 32 of the world’s most influential markets across asset classes to determine investor sentiment by applying trend-following signals to each independent asset. It features adjustable parameters and a built-in alert system that notifies investors when conditions transition between Risk-On and Risk-Off regimes. The selected markets are grouped into equities (7), fixed income (9), currencies (7), commodities (5), and derivatives (4):
Equities = S&P 500 E-mini Index Futures, Nasdaq-100 E-mini Index Futures, Russell 2000 E-mini Index Futures, STOXX Europe 600 Index Futures, Nikkei 225 Index Futures, MSCI Emerging Markets Index Futures, and S&P 500 High Beta (SPHB)/Low Beta (SPLV) Ratio.
Fixed Income = US 10Y Treasury Yield, US 2Y Treasury Yield, US 10Y-02Y Yield Spread, German 10Y Bund Yield, UK 10Y Gilt Yield, US 10Y Breakeven Inflation Rate, US 10Y TIPS Yield, US High Yield Option-Adjusted Spread, and US Corporate Option-Adjusted Spread.
Currencies = US Dollar Index (DXY), Australian Dollar/US Dollar, Euro/US Dollar, Chinese Yuan/US Dollar, Pound Sterling/US Dollar, Japanese Yen/US Dollar, and Bitcoin/US Dollar.
Commodities = ICE Brent Crude Oil Futures, COMEX Gold Futures, COMEX Silver Futures, COMEX Copper Futures, and S&P Goldman Sachs Commodity Index (GSCI) Futures.
Derivatives = CBOE S&P 500 Volatility Index (VIX), ICE US Bond Market Volatility Index (MOVE), CBOE 3M Implied Correlation Index, and CBOE VIX Volatility Index (VVIX)/VIX.
All assets are directionally aligned with their historical correlation to the S&P 500. Each asset contributes equally based on its individual bullish or bearish signal. The overall market regime is calculated as the difference between the number of Risk-On and Risk-Off signals divided by the total number of assets, displayed as the percentage of markets confirming each regime. Green indicates Risk-On and occurs when the number of Risk-On signals exceeds Risk-Off signals, while red indicates Risk-Off and occurs when the number of Risk-Off signals exceeds Risk-On signals.
Bullish Signal = (Fast MA – Slow MA) > (ATR × ATR Margin)
Bearish Signal = (Fast MA – Slow MA) < –(ATR × ATR Margin)
Market Regime = (Risk-On signals – Risk-Off signals) ÷ Total assets
This indicator is designed with flexibility in mind, allowing users to include or exclude individual assets that contribute to the market regime and adjust the input parameters used for trend signal detection. These parameters apply to each independent asset, and the overall regime signal is smoothed by the signal length to reduce noise and enhance reliability. Investors can position according to the prevailing market regime by selecting factors that have historically outperformed under each regime environment to minimise downside risk and maximise upside potential:
Risk-On Equity Factors = High Beta > Cyclicals > Low Volatility > Defensives.
Risk-Off Equity Factors = Defensives > Low Volatility > Cyclicals > High Beta.
Risk-On Fixed Income Factors = High Yield > Investment Grade > Treasuries.
Risk-Off Fixed Income Factors = Treasuries > Investment Grade > High Yield.
Risk-On Commodity Factors = Industrial Metals > Energy > Agriculture > Gold.
Risk-Off Commodity Factors = Gold > Agriculture > Energy > Industrial Metals.
Risk-On Currency Factors = Cryptocurrencies > Foreign Currencies > US Dollar.
Risk-Off Currency Factors = US Dollar > Foreign Currencies > Cryptocurrencies.
In summary, the Market Regime Index is a comprehensive macro risk-management tool that identifies the current market regime and helps investors align portfolio risk with the market’s underlying risk appetite. Its intuitive, color-coded design makes it an indispensable resource for investors seeking to navigate shifting market conditions and enhance risk-adjusted performance by selecting factors that have historically outperformed. While it has proven historically valuable, asset-specific characteristics and correlations evolve over time as market dynamics change.
Multi-Currency Price Comparison[nakano]# Multi-Currency Price Comparison
## Description
A comprehensive Pine Script indicator that displays multiple cryptocurrency prices in different currencies (USD, JPY, KRW) on a single chart. Perfect for traders who want to compare how their base asset performs across different markets and currencies.
複数の通貨（USD、JPY、KRW）での暗号通貨価格を単一チャート上に表示する包括的なPine Scriptインジケーター。異なる市場や通貨でのベースアセットのパフォーマンスを比較したいトレーダーに最適です。
**Features / 機能:**
- **Multi-Currency Display / マルチ通貨表示**: Show USD, JPY, and KRW price lines simultaneously / USD、JPY、KRW価格ラインを同時表示
- **Flexible Display Modes / 柔軟な表示モード**: Line, Bars, or Candles rendering / ライン、バー、ローソク足での描画
- **Custom Ticker Support / カスタムティッカー対応**: Use any base symbol (BTC, ETH, etc.) instead of current chart / 現在チャート以外の任意のベース銘柄（BTC、ETH等）を使用可能
- **Exchange Selection / 取引所選択**: Choose from multiple exchanges (Binance, Coinbase, Kraken, etc.) / 複数の取引所（Binance、Coinbase、Kraken等）から選択
- **Price Labels / 価格ラベル**: Display original prices with optional deviation percentages / 元の価格を表示、オプションで乖離率も表示
- **Exchange Rate Table / 為替レートテーブル**: Show real-time USD/JPY/KRW exchange rates / リアルタイムのUSD/JPY/KRW為替レートを表示
- **Performance Optimized / パフォーマンス最適化**: Only fetches data when needed / 必要な時のみデータを取得
- **K/M Notation / K/M表記**: Large numbers displayed as 1.5K, 2.3M for better readability / 大きな数値を1.5K、2.3Mとして表示し、可読性を向上
**Use Cases / 使用例:**
- Compare Bitcoin performance in USD vs JPY markets / ビットコインのUSD市場とJPY市場でのパフォーマンス比較
- Monitor altcoin prices across different currency pairs / 異なる通貨ペアでのアルトコイン価格の監視
- Analyze currency impact on crypto valuations / 通貨が暗号通貨評価に与える影響の分析
- Track exchange rate correlations with crypto prices / 為替レートと暗号通貨価格の相関関係の追跡
## Settings
### Currencies / 通貨設定
- **USD**: Toggle USD/USDT line display, choose color and exchange / USD/USDTラインの表示、色、取引所を設定
- **JPY**: Toggle JPY line display, choose color and exchange / JPYラインの表示、色、取引所を設定
- **KRW**: Toggle KRW line display, choose color and exchange / KRWラインの表示、色、取引所を設定
### General / 一般設定
- **Display Mode**: Choose Line, Bars, or Candles rendering / 表示方法を選択（ライン/バー/ローソク足）
- **Plot Style**: Line rendering style (only applies to Line mode) / 価格ラインの描画スタイル（Display ModeがLineの時のみ適用）
- **Use Custom Ticker**: Enable to use custom base symbol / カスタムベース銘柄の使用を有効化
- **Show same-quote currency lines**: Display lines for chart's quote currency / 現チャートと同一通貨建てのラインも表示
- **Show Price Labels**: Display original prices as labels / 最新バーに元の価格をラベルで表示
- **Show Deviation (%)**: Show deviation percentage from current chart price / ラベルに現在チャート価格からの乖離率を表示
### Table / テーブル設定
- **Show Price Table**: Toggle info table display / 価格情報テーブルの表示を切り替え
- **Show Exchange Rates**: Display USD/JPY/KRW exchange rates row / テーブルに為替レート行（USD/JPY/KRW）を表示
- **Position**: Table position (9 positions available) / テーブルの表示位置（9箇所から選択可能）
- **Text Size**: Table text size / テーブルの文字サイズ
## Support
For issues or feature requests, please contact the developer.
問題や機能リクエストについては、開発者にお問い合わせください。
---
**Version**: 1.0
**Author**: nakano
**Pine Script Version**: 6
**Last Updated**: 2025.10.07
MTF RSI Heatmap)# MTF RSI Heatmap — v2.7.2
**Hybrid Higher-TF Trend + Intraday Impulse Detection + Smart Counters & Alerts**
Turn your lower pane into a **multi-timeframe market bias dashboard**. This heatmap blends classic RSI momentum with a **hybrid Daily/Weekly MA-stack trend** and an **intraday impulse override** that flags fast moves *as they happen*. Clean, configurable, and built for real trading flow.
---
## What it shows
* **6 stacked rows = 6 timeframes** (bottom → top).
* **Colors**: Green = Bull, Red = Bear, Yellow = Neutral.
* **Header counter**: `Bull X/6 | Bear Y/6` = live agreement across visible rows.
* **Impulse markers** ▲/▼ on intraday rows (5m/15m/60m/240m) when a shock move triggers.
* **Signal bar**: A thin column above the top row when at least **N of 6** rows align (configurable).
---
## Why it’s different
* **Impulse Override (intraday)**
Detects sharp moves using % change over the last *N* bars, optionally gated by **volume > SMA × multiplier**. This catches dumps/pops earlier than RSI alone.
* **Hybrid D/W (structure over noise)**
Daily/Weekly rows can use an **MA stack (8/21/55)** instead of RSI for a more stable higher-timeframe trend read. Optional **price > fast MA** filter for stricter confirmation.
* **Intrabar option**
Flip rows **during the bar** for early reads (accepting repaint on TF close), or keep it close-only for no surprises.
---
## Key features
* 🌈 **Theme**: Classic or High-Contrast colors.
* 🧠 **RSI thresholds**: Bull above 55, Bear below 45 (editable).
* 🧲 **RSI smoothing** (EMA) for intraday rows to reduce flicker.
* 🧰 **Compact left legend** with adjustable text size & opacity.
* 🚨 **Alerts**:
* **Impulse-only** (per TF and “any intraday”)
* **N-of-6 confirmation** (bull/bear)
---
## Recommended settings (fast opens & news)
* **Impulse**: `Bars = 1–2`, `Threshold = 0.25–0.35%`, `Vol confirm = ON`, `Multiplier = 1.3–1.5`.
* **Hybrid D/W**: `ON`, `EMA 8/21/55`, `Price filter = ON`.
* **Intrabar**: `ON` if you want intra-bar updates (repaints at TF close).
---
## How to read it
1. **Row scan**: Are the bottom (fast) rows aligning first? That’s early momentum.
2. **Header counter**: Look for 4+/6 agreement as momentum broadens.
3. **Signal bar**: Acts as a “go/no-go” confirmation when your threshold is met.
4. **Impulse ▲/▼**: Use as a **heads-up** for acceleration; then watch if rows cascade in that direction.
---
## Alerts (exact names)
Create alerts with these built-ins:
* **Impulse UP — any intraday**
* **Impulse DOWN — any intraday**
* **Impulse UP — TF1 / TF2 / TF3 / TF4**
* **Impulse DOWN — TF1 / TF2 / TF3 / TF4**
* **Bull confirmation** (N-of-6)
* **Bear confirmation** (N-of-6)
Tip: Use **Once per bar** or **Once per bar close** depending on whether you enabled *Intrabar*.
---
## Inputs overview
* **Timeframes & visibility** per row.
* **RSI**: length, bull/bear thresholds, optional EMA smoothing (intraday only).
* **Impulse**: bars, %, volume confirm, SMA length, multiplier, markers.
* **Hybrid D/W**: MA type (EMA/SMA/HMA), 8/21/55 lengths, price filter.
* **Theme & Legend**: color theme, label size (Tiny/Small/Normal), legend opacity.
* **Signal**: N required for confirmation (default 4).
---
## Pro tips
* Combine with **session opens**, **VWAP**, and **liquidity levels**.
* If you trade breakouts, let **impulse triggers** cue attention, then wait for **N-of-6** confirmation.
* For swing bias, lean on **Hybrid D/W**—it changes slower, but with intent.
---
## Notes & limitations
* **Intrabar = repaint expected** on higher-TF closes—by design for earlier context.
* Colors/thresholds are general guidance, not signals by themselves.
* Past performance ≠ future results; **this is not financial advice**.
---
If you enjoy this, drop a ⭐ and tell me what you want next: background shading on confirmation, tooltips with RSI/ROC per row, or a MACD/RSI hybrid mode. Trade sharp! ✨
Crypto Exchange PremiumDescription: Crypto Exchange Premium
The Crypto Exchange Premium indicator is designed to quantify and visualize price disparities between different types of crypto markets — specifically between spot and perpetual futures markets, or between any two customizable sources of price data. By consolidating live data from multiple major exchanges, it creates a unified, cross-market measure of premium (or discount), helping traders identify institutional activity (i. e. by comparing exchanges with high institutional activity against others), arbitrage opportunities, and shifts in market sentiment before they become visible in price action alone.
Concept and Purpose
In cryptocurrency markets, price divergence between spot and perpetual pairs reflects the real-time interaction of demand and liquidity across market segments.
When perpetual prices trade above spot, it implies aggressive long positioning or bullish leverage (positive funding expectations).
Conversely, when spot trades above perps, it may reflect net selling pressure in futures or strong spot accumulation.
Unlike most tools that rely on funding rates or open interest alone, this indicator measures the actual traded price spread dynamically across exchanges. This allows traders to visualize the “premium curve” of the crypto market in a clear, data-driven format.
How It Works
The indicator aggregates real-time prices from a wide selection of exchanges, normalizes them into groups, and computes the difference (“premium”) between two chosen reference markets.
1. Exchange Aggregation:
Users can toggle individual exchanges for both spot and perpetual aggregation groups.
The script automatically calculates group averages by dividing the sum of all enabled exchange prices by the number of valid feeds.
Non-USD exchanges (e.g., KRW pairs on Upbit or Bithumb) are automatically converted into USD using live FX data (USDKRW) for accurate normalization.
2. Flexible Comparison Logic:
Each leg of the comparison (First vs. Second Source) can be chosen as one of:
Local chart symbol
Custom symbol
Aggregated Spot group
Aggregated Perpetual group
This allows users to compare, for example:
Binance Spot vs. Global Perp Average
Coinbase Spot vs. Binance Perp
BTCUSD vs. BTCUSDT.P (or any cross-exchange combination)
3. Premium Calculation:
The final value is computed as:
Premium = First Source Price − Second Source Price
and is plotted as a histogram (positive = green, negative = red). This visual instantly shows whether the first source trades at a premium or discount relative to the second.
How to Use
Select Data Sources:
Configure the “First Symbol” and “Second Symbol” in the settings. For most use cases:
First Symbol → Perps (Aggregated)
Second Symbol → Spot (Aggregated)
Adjust Exchange Selection:
Enable or disable individual exchanges to fine-tune your data set. For instance, disabling Korean exchanges filters out regional FX distortions.
Originality and Value
While many exchange difference or “premium indicators” track one or two exchanges, this script introduces multi-exchange aggregation, cross-market normalization, and user-configurable pairing, resulting in a more holistic and accurate reflection of market structure.
It bridges a gap between macro market breadth and microstructural price dynamics, empowering traders to:
Detect arbitrage inefficiencies between spot and perps.
Track regional price dislocations (USD vs. KRW).
Gauge the intensity of speculative leverage over time.
Anticipate funding rate shifts and liquidation clusters before they happen.
FUNDINGHello everyone. This is the Funding Indicator, and I'm going to tell you all about it.
I've selected 40 cryptocurrencies for this indicator to analyze. It analyzes all of them and combines the data in a unique way. How does it work exactly?
You will notice 4 different graphs in the indicator:
Change in the number of cryptocurrencies with funding above standard values (F > 0.01)
Change in the number of cryptocurrencies with standard funding values (F = 0.01)
Change in the number of cryptocurrencies with funding below standard values (F < 0.01)
Change in the number of cryptocurrencies with negative funding values (F < 0)
Why do we even need to analyze this?
The point is that by analyzing the funding rates of the entire market, as we do with our indicator, we can understand the overall sentiment of the mass of traders. For instance, if most cryptocurrencies are trading with a negative funding rate, we can assume that the market is currently opening predominantly short positions. Conversely, if most coins are trading with funding rates above standard values, it might suggest market euphoria, signaling that we should be cautious with long positions, as the market might move against the majority.
Therefore, by analyzing the funding rates of the entire market at once, we can observe in real-time how the crowd's sentiment is shifting. This allows us to timely open or, conversely, close our positions, anticipating a move against the majority's expectation. This gives us an advantage over other market participants.
The settings are extremely simple. In the "Styles" tab, you can select which groups of coins to display, as I described above.
Here are a few examples below.
In this version, I've kept only two graphs:
Change in the number of cryptocurrencies with funding above standard values (F > 0.01)
Change in the number of cryptocurrencies with funding below standard values (F < 0.01)
The moment these lines touch can be a good indicator for identifying a market bottom.
A bottom can also be identified by keeping only the graph for negative funding values.
Also, a very important note! Remember, the funding rate doesn't directly tell us the intentions of the majority; we interpret the sentiment indirectly through it. I wish you good luck in using it!
First Passage Time - Distribution AnalysisThe First Passage Time (FPT) Distribution Analysis indicator is a sophisticated probabilistic tool that answers one of the most critical questions in trading: "How long will it take for price to reach my target, and what are the odds of getting there first?"
Unlike traditional technical indicators that focus on what might happen, this indicator tells you when it's likely to happen.
Mathematical Foundation: First Passage Time Theory
What is First Passage Time?
First Passage Time (FPT) is a concept in stochastic processes that measures the time it takes for a random process to reach a specific threshold for the first time. Originally developed in physics and mathematics, FPT has applications in:
Quantitative Finance: Option pricing, risk management, and algorithmic trading
Neuroscience: Modeling neural firing patterns
Biology: Population dynamics and disease spread
Engineering: Reliability analysis and failure prediction
The Mathematics Behind It
This indicator uses Geometric Brownian Motion (GBM), the same stochastic model used in the Black-Scholes option pricing formula:
dS = μS dt + σS dW
Where:
S = Asset price
μ = Drift (trend component)
σ = Volatility (uncertainty component)
dW = Wiener process (random walk)
Through Monte Carlo simulation, the indicator runs 1,000+ price path simulations to statistically determine:
When each threshold (+X% or -X%) is likely to be hit
Which threshold is hit first (directional bias)
How often each scenario occurs (probability distribution)
🎯 How This Indicator Works
Core Algorithm Workflow:
Calculate Historical Statistics
Measures recent price volatility (standard deviation of log returns)
Calculates drift (average directional movement)
Annualizes these metrics for meaningful comparison
Run Monte Carlo Simulations
Generates 1,000+ random price paths based on historical behavior
Tracks when each path hits the upside (+X%) or downside (-X%) threshold
Records which threshold was hit first in each simulation
Aggregate Statistical Results
Calculates percentile distributions (10th, 25th, 50th, 75th, 90th)
Computes "first hit" probabilities (upside vs downside)
Determines average and median time-to-target
Visual Representation
Displays thresholds as horizontal lines
Shows gradient risk zones (purple-to-blue)
Provides comprehensive statistics table
📈 Use Cases
1. Options Trading
Selling Options: Determine if your strike price is likely to be hit before expiration
Buying Options: Estimate probability of reaching profit targets within your time window
Time Decay Management: Compare expected time-to-target vs theta decay
Example: You're considering selling a 30-day call option 5% out of the money. The indicator shows there's a 72% chance price hits +5% within 12 days. This tells you the trade has high assignment risk.
2. Swing Trading
Entry Timing: Wait for higher probability setups when directional bias is strong
Target Setting: Use median time-to-target to set realistic profit expectations
Stop Loss Placement: Understand probability of hitting your stop before target
Example: The indicator shows 85% upside probability with median time of 3.2 days. You can confidently enter long positions with appropriate position sizing.
3. Risk Management
Position Sizing: Larger positions when probability heavily favors one direction
Portfolio Allocation: Reduce exposure when probabilities are near 50/50 (high uncertainty)
Hedge Timing: Know when to add protective positions based on downside probability
Example: Indicator shows 55% upside vs 45% downside—nearly neutral. This signals high uncertainty, suggesting reduced position size or wait for better setup.
4. Market Regime Detection
Trending Markets: High directional bias (70%+ one direction)
Range-bound Markets: Balanced probabilities (45-55% both directions)
Volatility Regimes: Compare actual vs theoretical minimum time
Example: Consistent 90%+ bullish bias across multiple timeframes confirms strong uptrend—stay long and avoid counter-trend trades.
First Hit Rate (Most Important!)
Shows which threshold is likely to be hit FIRST:
Upside %: Probability of hitting upside target before downside
Downside %: Probability of hitting downside target before upside
These always sum to 100%
⚠️ Warning: If you see "Low Hit Rate" warning, increase this parameter!
Advanced Parameters
Drift Mode
Allows you to explore different scenarios:
Historical: Uses actual recent trend (default—most realistic)
Zero (Neutral): Assumes no trend, only volatility (symmetric probabilities)
50% Reduced: Dampens trend effect (conservative scenario)
Use Case: Switch to "Zero (Neutral)" to see what happens in a pure volatility environment, useful for range-bound markets.
Distribution Type
Percentile: Shows 10%, 25%, 50%, 75%, 90% levels (recommended for most users)
Sigma: Shows standard deviation levels (1σ, 2σ)—useful for statistical analysis
⚠️ Important Limitations & Best Practices
Limitations
Assumes GBM: Real markets have fat tails, jumps, and regime changes not captured by GBM
Historical Parameters: Uses recent volatility/drift—may not predict regime shifts
No Fundamental Events: Cannot predict earnings, news, or macro shocks
Computational: Runs only on last bar—doesn't give historical signals
Remember: Probabilities are not certainties. Use this indicator as part of a comprehensive trading plan with proper risk management.
Created by: Henrique Centieiro. feedback is more than welcome!
ProxyProxy Indicator
The Proxy indicator is a simplified version of the Larry Williams Proxy Index (LWPI), designed to identify potential overbought and oversold conditions in the market. It calculates a normalized value based on price momentum and volatility, helping traders spot reversal opportunities.
Features
Main Line: Displays the Proxy Index value with a customizable period (default: 8).
Configurable Levels: Five adjustable horizontal levels in the Style tab:
Sell Level 1 (default: 75, red, dotted, linewidth 1)
Sell Level 2 (default: 70, red, dotted, linewidth 1)
Middle Level (default: 50, gray, dashed, linewidth 1)
Buy Level 1 (default: 25, light green, dotted, linewidth 1)
Buy Level 2 (default: 20, light green, dotted, linewidth 1)
Alerts: Built-in alerts for crossovers and crossunders at the middle level (50).
Customization: Adjust the period in the Inputs tab and fine-tune level values, colors, and styles in the Style tab.
Usage
Use the indicator to identify overbought (Sell Levels) and oversold (Buy Levels) zones.
Set alerts to receive notifications when the Proxy Index crosses the middle level, signaling potential buy or sell opportunities.
Customize the levels in the Style tab to match your trading strategy.
Settings
Period: Adjust the lookback period for the calculation (default: 8).
Style Settings: Modify level values, colors, linewidths, and line styles (solid, dashed, dotted) directly in the Style tab.
This indicator is ideal for traders seeking a straightforward tool to gauge market momentum and potential reversals. Add it to your chart and customize it to fit your trading style!
Customizable Dashboard (SIMPLE)This is a custom table where you can track any ticker and it's daily change. color coded to make things easy.
VIX Fear Gauge – Intraday Horizontal with alerts by Carlos CThe VIX Fear Gauge – Intraday Horizontal is a clean overlay tool that displays the current market sentiment (Fear & Greed levels) based on the VIX index.
Key Features:
📊 Horizontal Dashboard with five levels: Low, Light Fear, Neutral, High Fear, Panic.
🎨 Color Schemes: choose between Normal (fear = red) or Inverted (fear = green).
📍 Custom Positioning: move the panel to any chart corner.
🏷️ Dynamic Label: optional large label showing the current VIX value and category.
🚨 Smart Alerts: triggers when VIX enters or exits High Fear and Panic zones.
This indicator is designed for intraday traders who use the VIX as a risk barometer to confirm directional bias in SPY, QQQ, and other equities or options trading setups.
Intraday Trading Master - Institutionthis is a momentum indicator where you will find the big player entry and exit
BUY, SELL, RESUME, & CAUTION signal (EMA 9 & 20 + MACD) ON CHART BUY, SELL, CAUTION signal (with RESUME)
What it does
A clean, on-chart signal set that works on whatever timeframe your chart is on. It prints labeled circles above the bar and draws a thin connector line with a tiny arrow that points to the bar. All shapes are kept above both EMAs and never touch wicks—spacing is ATR-based and fully adjustable.
Signals
• BUY – when EMA(9) crosses above EMA(20).
• SELL – when EMA(9) crosses below EMA(20).
• CAUTION – MACD momentum crosses against the current EMA trend
◦ Bull trend (EMA9 > EMA20) + MACD cross down → CAUTION
◦ Bear trend (EMA9 < EMA20) + MACD cross up → CAUTION
• RESUME – after a CAUTION, MACD crosses back with the EMA trend. The circle is labeled “RESUME” (green for bull, red for bear).
Why traders use it
• Trade with the current: BUY/SELL reflect short-vs-long EMA control on your active timeframe.
• Early risk heads-up: CAUTION flags a momentum flip against trend.
• Re-engage cleanly: RESUME helps rejoin the move after a wobble.
• Uncluttered visuals: Circles/lines/arrows are spaced off price and kept above EMAs for clarity.
Inputs
Core
• EMA Fast / EMA Slow (default 9 / 20)
• MACD Fast / Slow / Signal (default 12 / 26 / 9)
• Show circles with text, Plot EMAs
• Wait for candle close (prevents intrabar flicker; signals/alerts confirm at close)
Spacing (ATR-based)
• Gap above wick
• Base connector length
• Extra circle lift
• Line top gap under circle (so the line doesn’t touch the circle)
• Pad above higher EMA
• Extra arrow clearance above EMAs
Alerts
• BUY Crossover, SELL Crossover, MACD CAUTION, BUY Resume, SELL Resume.
• Respect the Wait for candle close setting. For close-only alerts, also choose “Once per bar close” in the alert dialog.
Suggested use
• Let BUY/SELL define bias on your chart timeframe.
• Treat CAUTION as a brake—tighten risk or wait.
• Use RESUME to re-enter when momentum realigns with trend.
• Combine with higher-TF context and your own entry/exit rules.
Notes
• Works on futures, stocks, FX, and crypto.
• Signals are calculated on the current chart timeframe (no security calls).
• With Wait for candle close ON, signals/alerts confirm at close and do not repaint.
• Educational tool only—this is not financial advice.
• When price action is sideways and choppy, this indicator doesn't function well, when this happens, wait until a trend is established and then try to get in when price touches the 9 EMA line for a higher profitability trade
Square Root Price Calculator By ABPinescript to Calculate Square root of Price usefull for Gann Lover
CoT Bias Tracker [DOSALGO]Unlock a powerful new dimension in your market analysis with the CoT Bias Tracker . This advanced tool goes beyond price charts to reveal the positioning of the market's largest players, allowing you to track the "smart money" and make more informed trading decisions.
By harnessing the weekly Commitment of Traders (CoT) report, this indicator automatically fetches, processes, and displays the net positioning of Commercials (Hedgers), Non-Commercials (Large Speculators), and Retail traders. Its standout feature is the unique dual-asset analysis for Forex pairs, which automatically breaks down a pair like EURUSD into its Base (EUR) and Quote (USD) components, giving you a crystal-clear view of the capital flows driving the market.
Stop guessing the trend and start tracking the institutional bias that truly matters.
Key Features
📈 Complete CoT Data Analysis: Automatically fetches and displays the latest weekly net positions for three key market participants: Commercials, Non-Commercials, and Retail Traders.
🌍 Unique Forex Pair Analysis: The only tool you'll need for Forex. It intelligently separates pairs (e.g., AUDJPY) into their Base (AUD) and Quote (JPY) currencies and displays a full CoT analysis for each, revealing which currency is truly in demand.
📊 Advanced Bias Dashboard: A comprehensive and fully customizable dashboard provides an at-a-glance summary of the market's sentiment, including current positions, weekly changes, and both short-term and long-term bias readings.
🧠 Conviction Analysis: This indicator goes deeper than just net positions. By analyzing the relationship between positioning changes and Open Interest, it gauges the conviction behind a move, distinguishing between a "Strong Long" (new money entering) and a "Weak Long" (short covering).
🚀 POIV Metric: Includes the Position x Open Interest Volume (POIV) metric, an advanced tool for measuring the cumulative force behind positioning changes over time.
📉 Historical Data Plotting: Visualize the net positioning data and its moving average directly on your chart's indicator pane. This is perfect for identifying historical extremes, divergences, and long-term trends in positioning.
⚙️ Automatic Symbol Recognition: The indicator intelligently detects the asset on your chart—from Forex pairs to indices like the S&P 500 and commodities like Gold—and automatically fetches the correct CoT data.
🎨 Full Customization: Tailor the entire tool to your workspace. Control the dashboard's position, size, and colors. Toggle the visibility of any data row or plot to focus only on what matters to you.
The Dashboard Explained
The dashboard gives you a complete, multi-faceted view of the market's positioning.
Participant Groups:
Commercials: Often considered the "smart money." They use futures to hedge their business operations and typically fade trends, buying into lows and selling into highs.
Non-Commercials: Large speculators like hedge funds and institutions. They are typically trend-followers, and their positioning is a powerful indicator of the current dominant trend.
Retail Traders: Small, non-reportable speculators. They are often seen as a contrarian indicator.
Net Positions & Change: See the raw net long or short positions from the current and previous week's report, along with the net change to understand the weekly capital flow.
S-Term Bias (Short-Term): Based on the weekly net change, this tells you who was buying and who was selling since the last report.
L-Term Bias (Long-Term): Compares the current net position to its moving average to define the dominant positioning trend. (Note: This reading is most effective on the Weekly chart timeframe.)
Conviction (via Open Interest): Found in the "Open Interest" row under the L-Term Bias column, this powerful metric tells you how positions are changing:
Strong Long: New buyers are entering the market with conviction.
Weak Long: Existing shorts are covering their positions.
Strong Short: New sellers are entering the market with conviction.
Weak Short: Existing longs are closing their positions.
Use Cases & Strategy
Trend Confirmation: Use the positioning of Non-Commercials to confirm the strength and direction of a trend you've identified with technical analysis.
Reversal Signals: Look for extreme net positioning levels or divergences between Commercial and Non-Commercial sentiment, which can often precede major market reversals.
Forex Strength Analysis: When trading a pair like GBPJPY, use the dashboard to see if Non-Commercials are strongly bullish on GBP while being bearish on JPY. This "double confirmation" can highlight high-probability trade setups.
Important Notes
Understanding CoT Data: The Commitment of Traders report is released by the CFTC every Friday afternoon (~3:30 PM ET). Crucially, it reflects the positions that were held on the preceding Tuesday. It is a tool for gauging medium- to long-term sentiment, not for intraday signals.
Disclaimer: This tool is for analytical and educational purposes only and should not be considered financial advice. All forms of trading involve risk. Always conduct your own research and apply robust risk management.
