Indikatoren und Strategien
Ripster Clouds + Saty Pivot + RVOL + Trend1. Ripster EMA Clouds (local + higher timeframe)
Local timeframe (your chart TF):
Plots up to 5 EMA clouds (8/9, 5/12, 34/50, 72/89, 180/200 – configurable).
Each cloud is:
One short EMA and one long EMA.
A filled band between them.
Color logic:
Cloud is bullish when short EMA > long EMA (green/blue-ish tone).
Bearish when short EMA < long EMA (red/orange/pink tone).
You can choose:
EMA vs SMA,
Whether to show the lines,
Per-cloud toggles.
MTF Clouds:
Two higher-timeframe EMA clouds:
Cloud 1: 50/55
Cloud 2: 20/21
Computed on a higher TF (default D, but configurable).
Show as thin lines + transparent bands.
Used for:
Visual higher-TF trend,
Optional signal filter (MTF must agree for trades).
2. Saty Pivot Ribbon (time-warped EMAs)
This is basically your Saty Pivot Ribbon integrated:
Uses a “Time Warp” setting to overlay EMAs from another timeframe.
EMAs:
Fast, Pivot, Slow (defaults 8 / 21 / 34).
Clouds:
Fast cloud between fast & pivot EMAs.
Slow cloud between pivot & slow EMAs.
Bullish/bearish colors are distinct from Ripster colors.
Optional highlights:
Can highlight fast/pivot/slow lines separately.
Conviction EMAs:
13 and 48 EMAs (configurable).
When fast conviction EMA crosses over/under slow:
You get triangle arrows (bullish/bearish conviction).
Bias candles:
If enabled, candles are recolored based on:
Price vs Bias EMA,
Candle up/down/doji,
So you see bullish/bearish “bias” directly in candle colors.
3. DTR vs ATR panel (range vs average)
In a small table panel (bottom-center by default):
Computes higher-TF ATR (default 14, TF auto D/W/M, smoothing type selectable).
Measures current range (high–low) on that TF.
Displays:
DTR: X vs ATR: Y Z% (+/-Δ% vs prev)
Where:
Z% = current range / ATR * 100.
Δ% = change vs previous bar’s Z%.
Background color:
Greenish for low move (<≈70%),
Red for high move (≥≈90%),
Yellow in between,
Slightly dimmed when price is below bias EMA.
This tells you: “Is today an average, quiet, or explosive day compared to normal?”
4. SMA Divergence panel
Separate histogram & line panel:
Fast and slow SMAs (default 14 & 30).
Computes price divergence vs SMA in %:
% above/below slow SMA,
% above/below fast SMA.
Shows:
Slow SMA divergence as a semi-transparent column,
Fast SMA divergence as a solid column on top,
EMA of the slow divergence (trend line) colored:
Blue when rising,
Orange/red when falling.
Static upper/lower bands with fill, plus optional zero line.
This gives you a feel for how stretched price is vs its anchors.
5. RVOL table (relative volume)
Small 3×2 table (bottom-right by default):
Inputs:
Average length (default 50 bars),
Optionally show previous candle RVOL.
Calculates:
RVOL now = volume / avg(volume N bars) * 100,
RVOL prev,
RVOL momentum (now – prev) for data window only.
Table columns:
Candle Vol,
RVOL (Now),
RVOL (Prev).
Colors:
200% → “high RVOL” color,
100–200% → “medium RVOL” color,
<100% → “low RVOL” color,
Slightly dimmer if price is below bias EMA.
This is used both visually and optionally as a signal filter (e.g., only trade when RVOL ≥ threshold).
6. Trend Dashboard (Price + 34/50 + 5/12)
Top-right trend box with 3 rows:
Price Action row:
Uses either Bias EMA or custom EMA on close to say:
Bullish (close > trend EMA),
Bearish (close < trend EMA),
Flat.
Ripster 34/50 Cloud row:
Uses 34/50 EMAs: bullish if 34>50, bearish if 34<50.
Ripster 5/12 Cloud row:
Uses 5/12 EMAs: bullish if 5>12, bearish if 5<12.
Then it does a vote:
Counts bullish votes (Price, 34/50, 5/12),
Counts bearish votes,
Depending on mode:
Majority (2 of 3) or Strict (3 of 3).
Output:
Overall Bullish / Bearish / Sideways.
You also get an optional label on the chart like
Overall: Bullish trend with color, and an optional background tint (green/red for bull/bear).
7. VWAP + Buy/Sell Signals
VWAP is plotted as a white line.
Fast “trend” cloud mid: average of 5 & 12 EMAs.
Slow “trend” cloud mid: average of 34 & 50 EMAs.
Buy condition:
5/12 crosses above 34/50 (bullish cloud flip),
Price > VWAP,
Optional filter: MTF Cloud 1 bullish (50/55 on higher TF),
Optional filter: RVOL >= threshold.
Sell condition:
5/12 crosses below 34/50,
Price < VWAP,
Optional same filters but bearish.
When conditions are met:
Plots BUY triangle up below price (distinct teal/green tone).
Plots SELL triangle down above price (distinct magenta/orange tone).
Alert conditions are defined for:
BUY / SELL signals,
Overall Bullish / Bearish / Sideways change,
MTF Cloud 1 trend flips.
8. Data Window metrics
For easy backtesting / inspection via TradingView’s data window, it exposes:
DTR% (Current) and DTR% Momentum,
RVOL% (Now), RVOL% (Prev), RVOL% Momentum.
TL;DR – What does this script do for you?
It turns your chart into a multi-framework trend and momentum dashboard:
Ripster EMA clouds for short/medium trend & S/R.
Saty Ribbon for higher-TF pivot structure and conviction.
RVOL + DTR/ATR for context (is this a big and well-participated move?).
SMA divergence panel for overextension/stretch.
A compact trend table that tells you Price vs 34/50 vs 5/12 in one glance.
Buy/Sell markers + alerts when:
short-term Ripster trend (5/12) flips over/under medium (34/50),
price agrees with VWAP,
plus optional filters (MTF trend and / or RVOL).
Basically: it’s a trend + confirmation + context system wrapped into one indicator, with most knobs configurable in the settings.
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)Extended Indicator Description
Ichimoku + VWAP + OBV + ATR Full System is a rule-based intraday trading indicator designed specifically for NQ day trading, focusing on trend alignment, participation confirmation, and volatility-aware execution.
This indicator does not rely on a single signal or crossover. Instead, it integrates multiple market dimensions into one structured framework to help traders identify high-probability trend continuation scenarios while avoiding low-quality, range-bound conditions.
System Philosophy
The core idea of this system is simple:
trade only when trend, price location, volume, and volatility are aligned.
Each component plays a specific role and is not meant to be used in isolation. The indicator works best when all conditions reinforce the same directional bias.
Component Breakdown
Ichimoku Cloud
Used to define the primary market structure and directional bias. The system favors trades only when price action aligns clearly above or below the cloud, helping filter out indecisive or transitional phases.
VWAP
Acts as a session-based equilibrium reference. Price position and distance relative to VWAP are used to confirm whether the market is trending with intent rather than reverting to the mean.
OBV (On-Balance Volume)
Provides participation and flow confirmation. OBV helps validate whether price movement is supported by volume, reducing the likelihood of false breakouts or weak trend signals.
ATR (Average True Range)
Used as a volatility filter and risk-awareness tool. ATR conditions help the system avoid low-volatility environments and support more realistic expectations for intraday movement.
Trade Logic Overview
The system is designed around trend-following pullbacks, not prediction or counter-trend trading.
When trend structure is established and confirmed by VWAP positioning and OBV behavior, pullback zones within the trend become areas of interest. ATR conditions ensure that trades are taken only when sufficient movement potential exists.
Rather than generating frequent signals, the system prioritizes selectivity and clarity, making it suitable for disciplined day traders who value context over quantity.
Intended Use
This indicator is built for:
NQ intraday and day trading
Trend continuation and pullback strategies
Traders who prefer structured, confirmation-based systems
Lower to mid intraday timeframes such as 3-minute, 5-minute, and 15-minute charts
Important Notes
This is not an automated trading system and does not provide guaranteed results. The indicator is designed as a decision-support tool to assist with market context, directional bias, and trade timing. Risk management, execution, and position sizing remain the responsibility of the user.
롱/숏 삼각형 시그널
동그라미 청산 시그널
VWAP 밴드 기반 방향성
OBV 보조지표
이름 (Name)
BTC Scalping Signal – VWAP + OBV
짧은 설명 (Short Description)
VWAP 밴드와 OBV를 기반으로 방향성, 진입·청산 시그널을 제공하는 스캘핑 지표입니다.
긴 설명 (Long Description)
이 지표는 BTC 단기 스캘핑을 위해 설계된 것으로, 특히 15분봉 환경에 최적화되어 있습니다.
VWAP 밴드의 위치와 추세 판별 로직을 기반으로 롱·숏 진입 신호를 제공합니다.
OBV 모멘텀을 보조 필터로 사용하여 돌파 및 되돌림 가능성을 판단합니다.
시장 변동성이 축소되거나 평균회귀 신호가 감지될 때 청산 시그널을 표시합니다.
삼각형(진입), 원형(청산) 등 직관적 시각 요소를 통해 빠른 의사결정을 지원합니다.
MoneyLine CipherMoneyLine Cipher
Overview
MoneyLine Cipher is a trend-following indicator designed to identify high-probability entry and exit points by combining multiple technical analysis methods into a unified signal system. The indicator adapts its behavior based on current market conditions, becoming more aggressive in strong trends and more conservative in choppy or uncertain markets.
Core Concept: The Money Line
At the heart of this indicator is the Money Line, a linear regression line that acts as a dynamic center of price action. Unlike a simple moving average, linear regression fits a straight line through recent prices using least-squares methodology, providing a smoother representation of the underlying trend direction. The slope of this line determines whether the market is in a bullish, bearish, or neutral state.
Dynamic Envelope Bands
The indicator plots upper and lower bands around the Money Line using Average True Range (ATR) as the volatility measure. What makes these bands unique is their adaptive multiplier system. When the ADX (Average Directional Index) indicates a strong trend, the bands automatically widen to accommodate larger price swings and avoid premature exits. In ranging or weak trend conditions, the bands contract to provide tighter entry and exit zones. This dynamic adjustment helps the indicator perform consistently across different market environments.
Trend State Detection
The indicator classifies market conditions into five distinct states: Strong Uptrend, Uptrend, Neutral, Downtrend, and Strong Downtrend. This classification uses three complementary methods working together.
First, the Directional Movement Index (DMI) measures the spread between positive and negative directional indicators. A large positive spread suggests bullish momentum, while a large negative spread indicates bearish pressure.
Second, On-Balance Volume (OBV) confirms whether volume supports the indicated trend direction. For a Strong Uptrend classification, OBV must be rising above its moving average, confirming that buying pressure backs the price movement.
Third, ADX must exceed a minimum threshold for Strong trend classifications, ensuring that only genuinely trending markets receive the Strong designation.
Signal Generation
Buy and sell signals are generated using Fisher Transform and Aroon indicators, but with a crucial enhancement: the trigger thresholds adjust dynamically based on the current trend state.
The Fisher Transform converts price data into a Gaussian normal distribution, making turning points easier to identify. In a Strong Uptrend, the buy threshold relaxes (making buys easier to trigger) while the sell threshold tightens (making sells harder to trigger). This allows traders to stay in winning positions longer during favorable conditions. The opposite applies in downtrends, where the system becomes quick to exit and reluctant to enter long positions.
The Aroon indicator measures how recently price made a new high or low within the lookback period. Combined with Fisher Transform, this dual-confirmation approach reduces false signals that might occur when using either indicator alone.
Band touches also generate signals. When price reaches the lower band, a potential buy zone is identified. When price reaches the upper band, a potential sell zone is flagged.
Cascade Protection System
A key feature is the built-in protection against averaging down into a losing position. The system tracks consecutive buy signals and limits them to a configurable maximum (default: 3). After reaching this limit, no additional buy signals are generated until a sell signal resets the counter. This prevents the common mistake of repeatedly buying during a sustained decline.
Additionally, the indicator monitors Bollinger Band Width Percentile (BBWP), which measures current volatility relative to historical volatility. When BBWP exceeds a threshold (indicating a volatility spike often associated with sharp moves), buy signals are temporarily frozen. This protects against entering during panic selloffs or blow-off tops.
Extreme Move Detection
Sometimes price moves so aggressively that it penetrates the bands by an unusual amount. The indicator detects these extreme moves and can generate signals even during normal cooldown periods. The logic is that an extreme band penetration represents a significant overextension that warrants attention regardless of recent signal history. These extreme signals are visually distinguished from regular signals.
RSI Divergence
The indicator includes RSI divergence detection as an additional confirmation tool. When price makes a lower low but RSI makes a higher low (bullish divergence), it suggests weakening downside momentum and a potential reversal. Bearish divergence (price higher high, RSI lower high) warns of potential tops. Both regular and hidden divergences are detected and marked on the chart.
Signal Cooldown
To prevent overtrading and signal clustering, a configurable cooldown period prevents new signals for a set number of bars after each signal. This spacing ensures that each signal represents a distinct trading opportunity rather than repeated triggers on the same price movement.
Visual Display
The indicator provides a comprehensive information panel showing current trend state, BBWP status, consecutive buy count, ADX reading, Fisher and Aroon values, cooldown status, and current dynamic thresholds. An ADX bar at the bottom of the chart provides quick visual reference for trend strength and direction using color coding.
Signal labels display the entry or exit price along with the current buy count (for buy signals), helping traders track their position sizing.
How to Use
In uptrending markets, look for buy signals near the lower band, particularly when the trend state shows Uptrend or Strong Uptrend. These represent pullback opportunities within an established trend.
In downtrending markets, the indicator naturally reduces buy signals and increases sell sensitivity, helping traders avoid catching falling knives.
In neutral or ranging conditions, signals from both directions are generated with moderate thresholds, suitable for mean-reversion trading within the bands.
Monitor the BBWP and consecutive buy counter in the info panel. If BBWP shows "FROZEN" or the buy counter approaches the maximum, exercise additional caution with new long entries.
Settings Guidance
The default settings are optimized for 5-minute cryptocurrency charts but can be adjusted for other timeframes and assets. Key parameters to consider adjusting include the Money Line length (shorter for more responsive, longer for smoother), ATR multiplier range (wider bands reduce signals but improve accuracy), and the various threshold values for trend classification.
RSI Multi-Timeframe TableHow the RSI Multi-Timeframe Table Indicator Works
This indicator displays a table showing the RSI (14) from multiple timeframes at the same time.
It helps you quickly see whether the RSI is in overbought or oversold zones across different periods (1m, 5m, 15m, 30m, 1h, 4h, and 1D).
Below is a clear explanation of how each part works:
1) Timeframes Used
The indicator analyzes the RSI from the following timeframes:
1 minute (1m)
5 minutes (5m)
15 minutes (15m)
30 minutes (30m)
1 hour (1h)
4 hours (4h)
1 day (1D)
Each row of the table represents one of these timeframes.
2) How the RSI Is Retrieved
For each timeframe, the script uses the request.security() function to fetch the RSI(14) value from that specific timeframe, even if your current chart is set to a different one.
Example: On a 1h chart, you can still see the RSI from 1m, 5m, 30m, etc.
3) Table Structure
The table appears in the top-right corner and contains 8 columns:
TF – shows the timeframe name
RSI – shows the RSI value with two decimal places
10 – marks if RSI is ≤ 10
20 – marks if RSI is ≤ 20
30 – marks if RSI is ≤ 30
70 – marks if RSI is ≥ 70
80 – marks if RSI is ≥ 80
90 – marks if RSI is ≥ 90
The extreme levels (10, 20, 80, 90) help identify possible reversal zones.
4) Markings in the Table
When a condition is true, a ● circle appears in the corresponding cell.
Examples:
If the 5m RSI is ≤ 20, a circle appears in the 20 column for the 5m row.
If the 1H RSI is ≥ 80, a circle appears in the 80 column for the 1H row.
Colors also help interpretation:
Red for strong oversold levels (≤10)
Orange and yellow for intermediate levels
Green, teal, and blue for overbought levels
5) Alerts
The indicator includes four built-in alerts:
RSI ≤ 10
RSI ≤ 20
RSI ≥ 80
RSI ≥ 90
These alerts use the RSI from the current chart timeframe.
To enable them:
Open Alerts in TradingView
Click Create Alert
Select the indicator
Choose the alert you want
Confirm
6) Purpose of This Indicator
It is useful for:
Quickly checking market strength across multiple timeframes
Identifying when several periods are overbought or oversold
Avoiding trades against market momentum
Helping confirm potential reversal points
Summary
This indicator creates a table that shows RSI values from multiple timeframes and visually highlights overbought or oversold conditions in each one.
It also includes ready-to-use alerts for the most extreme RSI levels.
RSI Dip Reversal Pro ScannerRSI Upside Reversal Scanner (High Accuracy)
This indicator is designed to detect early-stage upside reversals by identifying when RSI crosses upward from oversold levels while the price remains positioned in the lower portion of its recent range. It combines momentum shift with price location analysis to produce highly reliable reversal signals.
It uses 3 primary filters:
RSI Oversold Cross:
RSI must cross upward from the oversold threshold (default 30).
Price in Bottom Range:
Price must be located within the lower 40% of the last 20-bar range, indicating a discount zone.
Overbought Protection:
RSI must stay below the ceiling level (default 75) to prevent signals near top exhaustion.
When all criteria are met, the indicator plots a “GİRİŞ” (ENTRY) label below the candle.
This tool is ideal for:
Identifying accurate dip-buy zones
Capturing trend reversals early
Optimizing swing and scalp entries
Feeding systematic trading models or bots
It performs well on short- and mid-term timeframes.
Multiple Horizontal Lines_SanHorizontal lines can be drawn with given coordinates with defined intervals
Bassi MA Entry Helper MTF EMA , VWMA Swing , ADX , SMA200 , TPBassi MA Entry Helper is an advanced multi-timeframe confluence system designed to identify high-probability entries using trend, volume, market structure, and volatility filters.
It is built for traders who want cleaner signals, fewer false entries, and strong multi-confirmation setups.
Key Features
Multi-Timeframe EMA Crossovers – HTF signal engine
SMA200 Trend Filter – prevents counter-trend trades
VWMA Swing Confirmation – volume-validated micro-swings
ADX Filter – only trade when the trend has strength
Fractal Structure Mapping – identifies swing highs/lows
Retracement Filter – confirms pullbacks before entries
TP/SL Automation – ATR or percentage based
Clean Entry Labels – main & additional entry signals
Highly Customizable – mode, timeframe, filters, visuals
This script is ideal for:
Scalping • Intraday • Swing • Trend continuation • Volume-based setups • Multi-timeframe alignment
How It Works
Main Buy/Sell Signals
Triggered when:
✔ Fast EMA crosses Slow EMA (HTF)
✔ Price aligned with trend
✔ SMA200 filter valid
✔ VWMA confirmation (optional)
✔ ADX strong
✔ Retracement valid (optional)
Additional Buy/Sell Signals
Triggered when VWMA crosses Slow EMA during trend continuation.
TP/SL System
You can choose between:
%-based take-profit & stop-loss
ATR-based dynamic levels
Automatically projects clean visual levels on your chart.
Notes
This indicator does not repaint and is suitable for both real-time and historical analysis.
Always combine signals with proper risk management.
Initial Release – v1.0
Added multi-timeframe EMA engine
Added SMA200 trend filter
Added VWMA swing entries
Added ADX strength filter
Added retracement filter
Added fractal swing detection
Added TP/SL auto plotting
Added main & additional entry labels
Performance optimized
Shiori TFGI Lite Technical Fear and Greed Index (Open Source)Shiori’s TFGI Lite
Technical Fear & Greed Index (Open Source)
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English — Official Description
Shiori’s TFGI Lite is an open-source Technical Fear & Greed Index designed to help traders and investors understand market emotion, not predict price.
Instead of generating buy or sell signals, this indicator focuses on answering a calmer, more important question:
> Is the market emotionally stretched away from its own historical balance?
TFGI Lite combines three well-known technical dimensions — volatility, price deviation, and momentum — and normalizes them into a single, intuitive 0–100 sentiment scale.
What This Indicator Is
* A market context tool, not a trading signal
* A way to observe emotional extremes and misalignment
* Designed for any asset, any timeframe
* Fully open source, transparent and adjustable
Core Components
* Fear Factor: Short-term vs long-term ATR ratio with logarithmic compression
* Greed Factor: Price Z-score with tanh-based normalization
* Momentum Factor: Classic RSI as emotional momentum
These factors are blended and gently smoothed to form the current sentiment level.
Historical Baseline & Deviation
TFGI Lite introduces a historical baseline concept:
* The baseline represents the market’s own emotional equilibrium
* Deviation measures how far current sentiment has drifted from that equilibrium
This allows the indicator to highlight conditions such as:
* 🔥 Overheated: High sentiment + strong positive deviation
* 💎 Undervalued: Low sentiment + strong negative deviation
* ⚠️ Misaligned: Emotionally extreme, but inconsistent with historical behavior
How to Use (Lite Philosophy)
* Use TFGI Lite as a background compass, not a trigger
* Combine it with price structure, risk management, and your own strategy
* Extreme readings suggest emotional tension, not immediate reversal
> Think of TFGI Lite as market weather — it tells you the climate, not when to open or close the door.
About Parameters & Customization
All parameters in TFGI Lite are fully adjustable. Markets have different personalities — volatility, sentiment range, and emotional extremes vary by asset and timeframe.
You are encouraged to:
* Adjust fear/greed thresholds based on the asset you trade
* Tune smoothing and baseline lengths to match your timeframe
* Treat sentiment levels as relative, not universal absolutes
There is no single “correct” setting — TFGI Lite is designed to adapt to your market, not force the market into a fixed model.
Important Notes
* This is a technical sentiment indicator, not financial advice
* No future performance is implied
* Designed to reduce emotional decision-making, not replace it
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🇹🇼 繁體中文 — 指標說明
Shiori’s TFGI Lite（技術型恐懼與貪婪指數） 是一款開源的市場情緒指標，目的不是預測價格，而是幫助你理解市場當下的「情緒狀態」。
與其問「現在該不該買或賣」，TFGI Lite 更關心的是：
> 市場情緒是否已經偏離了它自己的歷史平衡？
本指標整合三個常見但關鍵的技術面向，並統一轉換為 0–100 的情緒刻度，讓市場狀態一眼可讀。
這個指標是什麼
* 市場情緒與狀態觀察工具（非買賣訊號）
* 用來辨識情緒極端與錯位狀態
* 適用於任何商品與任何週期
* 完全開源，可學習、可調整
核心構成
* 恐懼因子：短期 / 長期 ATR 比例（對數壓縮）
* 貪婪因子：價格 Z-Score（tanh 正規化）
* 動能因子：RSI 作為情緒動量
歷史基準與偏離
TFGI Lite 引入「歷史情緒基準」的概念：
* 基準代表市場長期的情緒平衡
* 偏離值顯示當前情緒與自身歷史的距離
因此可以辨識：
* 🔥 過熱（高情緒 + 正向偏離）
* 💎 低估（低情緒 + 負向偏離）
* ⚠️ 錯位（情緒極端，但不符合歷史行為）
使用建議（Lite 精神）
* 將 TFGI Lite 作為「背景雷達」，而非進出場依據
* 搭配價格結構、風險控管與個人策略
* 情緒極端不等於立刻反轉
> 你可以把它想像成市場的天氣預報，而不是交易指令。
參數調整與個人化說明
本指標中的所有參數皆可調整。不同市場、不同商品，其波動特性與情緒區間並不相同。
建議你：
* 依標的特性自行調整恐懼 / 貪婪門檻
* 依交易週期調整平滑與基準長度
* 將情緒數值視為「相對狀態」，而非固定答案
TFGI Lite 的設計初衷，是讓你定義市場，而不是被單一參數綁住。
溫馨提示
如果你在調整指標參數時遇到不熟悉的項目，請點擊參數旁邊的 「!」圖示，每個設定都有清楚的說明。
本指標設計為可慢慢探索，請依自己的節奏理解市場狀態。
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🇯🇵 日本語 — インジケーター説明
Shiori’s TFGI Lite は、価格を予測するための指標ではなく、
市場の「感情状態」を可視化するためのオープンソース指標です。
この指標が問いかけるのは、
> 現在の市場感情は、過去のバランスからどれだけ乖離しているのか？
という一点です。
特徴
* 売買シグナルではありません
* 市場心理の極端さやズレを観察するためのツールです
* すべての銘柄・時間軸に対応
* 学習・調整可能なオープンソース
構成要素
* 恐怖要素：ATR 比率（対数圧縮）
* 強欲要素：価格 Z スコア（tanh 正規化）
* モメンタム：RSI
ベースラインと乖離
市場自身の感情的な基準点と、
現在の感情との距離を測定します。
過熱・割安・感情のズレを視覚的に把握できます。
パラメータ調整について
TFGI Lite のすべてのパラメータは調整可能です。市場ごとにボラティリティや感情の振れ幅は異なります。
* 恐怖・強欲の閾値は銘柄に応じて調整してください
* 時間軸に合わせて平滑化やベースライン期間を変更できます
* 数値は絶対値ではなく、相対的な感情状態として捉えてください
この指標は、市場に合わせて柔軟に使うことを前提に設計されています。
フレンドリーヒント
入力項目で分からない設定がある場合は、横に表示されている 「!」アイコン をクリックしてください。各パラメータには分かりやすい説明が用意されています。
このインジケーターは、落ち着いて市場の状態を理解するためのものです。
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🇰🇷 한국어 — 지표 설명
Shiori’s TFGI Lite는 매수·매도 신호를 제공하는 지표가 아니라,
시장 감정의 상태를 이해하기 위한 기술적 심리 지표입니다.
이 지표의 핵심 질문은 다음과 같습니다.
> 현재 시장 감정은 과거의 균형 상태에서 얼마나 벗어나 있는가?
특징
* 거래 신호 아님
* 시장 심리의 과열·저평가·불일치를 관찰
* 모든 자산, 모든 타임프레임 지원
* 오픈소스 기반
구성 요소
* 공포 요인: ATR 비율 (로그 압축)
* 탐욕 요인: Z-Score (tanh 정규화)
* 모멘텀: RSI
활용 방법
TFGI Lite는 배경 지표로 사용하세요.
가격 구조와 리스크 관리와 함께 사용할 때 가장 효과적입니다.
파라미터 조정 안내
TFGI Lite의 모든 설정 값은 사용자가 직접 조정할 수 있습니다. 자산마다 변동성과 감정 범위는 서로 다릅니다.
* 공포 / 탐욕 기준값은 종목 특성에 맞게 조정하세요
* 타임프레임에 따라 스무딩 및 기준 기간을 변경할 수 있습니다
* 감정 수치는 절대적인 값이 아닌 상대적 상태로 해석하세요
이 지표는 하나의 정답을 강요하지 않고, 시장에 맞춰 적응하도록 설계되었습니다.
친절한 안내
설정 값이 익숙하지 않다면, 항목 옆에 있는 "!" 아이콘을 클릭해 보세요. 각 입력값마다 설명이 제공됩니다.
이 지표는 천천히 시장의 맥락을 이해하도록 설계되었습니다.
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Educational purpose only. Not financial advice.
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#FearAndGreed #MarketSentiment #TradingPsychology #TechnicalAnalysis #OpenSourceIndicator #Volatility #RSI #ATR #ZScore #MultiAsset #TradingView #Shiori
EMA Color Cross + Trend Bars//@version=5
indicator("EMA Color Cross + Trend Bars", overlay=true)
// EMA ayarları
shortEMA = input.int(9, "Short EMA")
longEMA = input.int(21, "Long EMA")
emaShort = ta.ema(close, shortEMA)
emaLong = ta.ema(close, longEMA)
// Trend yönü
trendUp = emaShort > emaLong
trendDown = emaShort < emaLong
// EMA çizgileri trend yönüne göre renk değiştirsin
plot(emaShort, color=trendUp ? color.green : color.red, linewidth=2)
plot(emaLong, color=trendUp ? color.green : color.red, linewidth=2)
// Barları trend yönüne göre renklendir
barcolor(trendUp ? color.green : color.red)
// Kesişim sinyalleri ve oklar
longSignal = ta.crossover(emaShort, emaLong)
shortSignal = ta.crossunder(emaShort, emaLong)
plotshape(longSignal, title="Long", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large)
plotshape(shortSignal, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large)
EMA Cross BUY SELL
ema1Length = input.int(10, "EMA1 Periyodu")
ema2Length = input.int(20, "EMA2 Periyodu")
emaLineWidth = input.int(3, "EMA Çizgi Kalınlığı", minval=1, maxval=10)
bgTransparency = input.int(85, "Arka Plan Saydamlığı", minval=0, maxval=100)
ema1 = ta.ema(close, ema1Length)
ema2 = ta.ema(close, ema2Length)
longSignal = ta.crossover(ema1, ema2)
shortSignal = ta.crossunder(ema1, ema2)
var int trend = 0
trend := longSignal ? 1 : shortSignal ? -1 : trend
barcolor(trend == 1 ? color.green : trend == -1 ? color.red : na)
bgcolor(trend == 1 ? color.new(color.green, bgTransparency) : trend == -1 ? color.new(color.red, bgTransparency) : na)
plot(ema1, color=trend == 1 ? color.green : trend == -1 ? color.red : color.gray, linewidth=emaLineWidth, title="EMA1")
plot(ema2, color=trend == 1 ? color.green : trend == -1 ? color.red : color.gray, linewidth=emaLineWidth, title="EMA2")
plotshape(longSignal, title="Al Ok", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large)
plotshape(shortSignal, title="Sat Ok", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large)
EMA COLOR BUY SELL
indicator("EMA Tabanlı Renkli İndikatör", overlay=true)
emaLength = input.int(21, "EMA Periyodu")
fastEMA = ta.ema(close, emaLength)
slowEMA = ta.ema(close, emaLength * 2)
trendUp = fastEMA > slowEMA
trendDown = fastEMA < slowEMA
barcolor(trendUp ? color.new(color.green, 0) : trendDown ? color.new(color.red, 0) : color.gray)
plot(fastEMA, color=trendUp ? color.green : color.red, title="Fast EMA", linewidth=2)
plot(slowEMA, color=color.blue, title="Slow EMA", linewidth=2)
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME
Density Zones (GM Crossing Clusters) + QHO Spin Flips
OVERVIEW
This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements*
1) Density Zones (GM Crossing Clusters)
A “Density Zone” is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly “snapping” across an equilibrium boundary—high churn, high decision pressure, and repeated re-selection of direction.
2) QHO Spin Flips (Regression-Residual σ Breaches)
A “Spin Flip” is detected when price deviates beyond a configurable σ-threshold (κ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling.
These two systems are related but not identical:
- Density Zones identify where equilibrium crossings cluster (a “singularity”/anchor behavior around GM).
- Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance.
CORE CONCEPTS AND FORMULAS
SECTION A — GEOMETRIC MEAN EQUILIBRIUM (GM)
We define two moving averages:
(1) MA1_t = SMA(close_t, L1)
(2) MA2_t = SMA(close_t, L2)
We define the equilibrium anchor as the geometric mean of MA1 and MA2:
(3) GM_t = sqrt( MA1_t * MA2_t )
This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high “equilibrium churn.”
SECTION B — CROSS EVENTS (UP/DOWN)
A “cross event” is registered when the sign of (close - GM) changes:
Define a sign function s_t:
(4) s_t =
+1 if close_t > GM_t
-1 if close_t < GM_t
s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips)
Then define the crossing event indicator:
(5) crossEvent_t = 1 if s_t != s_{t-1}
0 otherwise
Additionally, the indicator plots explicit cross markers:
- Cross Above GM: crossover(close, GM)
- Cross Below GM: crossunder(close, GM)
These provide directional visual cues and match the original Geometric Mean Indicator behavior.
SECTION C — DENSITY MEASURE (CROSSING CLUSTER COUNT)
A Density Zone is based on the number of cross events occurring in the last W bars:
(6) D_t = Σ_{i=0..W-1} crossEvent_{t-i}
This is a “crossing density” score: how many times price has toggled across GM recently.
The script implements this efficiently using a cumulative sum identity:
Let x_t = crossEvent_t.
(7) cumX_t = Σ_{j=0..t} x_j
Then:
(8) D_t = cumX_t - cumX_{t-W} (for t >= W)
cumX_t (for t < W)
SECTION D — DENSITY ZONE TRIGGER
We define a Density Zone state:
(9) isDZ_t = ( D_t >= θ )
where:
- θ (theta) is the user-selected crossing threshold.
Zone edges:
(10) dzStart_t = isDZ_t AND NOT isDZ_{t-1}
(11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1}
SECTION E — DENSITY ZONE BOUNDS
While inside a Density Zone, we track the running high/low to display zone bounds:
(12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t
(13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t
On dzStart:
(14) dzHi_t := high_t
(15) dzLo_t := low_t
Outside zones, bounds are reset to NA.
These bounds visually bracket the “singularity span” (the churn envelope) during each density episode.
SECTION F — QHO EQUILIBRIUM (REGRESSION CENTERLINE)
Define the regression equilibrium (LSR):
(16) m_t = linreg(close_t, L, 0)
This is the “centerline” the QHO system uses as equilibrium.
SECTION G — RESIDUAL AND σ (FIELD WIDTH)
Residual:
(17) r_t = close_t - m_t
Rolling standard deviation of residuals:
(18) σ_t = stdev(r_t, L)
This σ_t is the local volatility/width of the residual field around the regression equilibrium.
SECTION H — NORMALIZED DISPLACEMENT AND SPIN FLIP
Define the standardized displacement:
(19) Y_t = (close_t - m_t) / σ_t
(If σ_t = 0, the script safely treats Y_t = 0.)
Spin Flip trigger uses a user threshold κ:
(20) spinFlip_t = ( |Y_t| > κ )
Directional spin flips:
(21) spinUp_t = ( Y_t > +κ )
(22) spinDn_t = ( Y_t < -κ )
The default κ=3.0 corresponds to “3σ excursions,” which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal).
SECTION I — QHO BANDS (OPTIONAL VISUALIZATION)
The indicator optionally draws the standard σ-bands around the regression equilibrium:
(23) 1σ bands: m_t ± 1·σ_t
(24) 2σ bands: m_t ± 2·σ_t
(25) 3σ bands: m_t ± 3·σ_t
These provide immediate context for the Spin Flip events.
WHAT YOU SEE ON THE CHART
1) MA1 / MA2 / GM lines (optional)
- MA1 (blue), MA2 (red), GM (green).
- GM is the equilibrium anchor for Density Zones and cross markers.
2) GM Cross Markers (optional)
- “GM↑” label markers appear on bars where close crosses above GM.
- “GM↓” label markers appear on bars where close crosses below GM.
3) Density Zone Shading (optional)
- Background shading appears while isDZ_t = true.
- This is the period where the crossing density D_t is above θ.
4) Density Zone High/Low Bounds (optional)
- Two lines (dzHi / dzLo) are drawn only while in-zone.
- These bounds bracket the full churn envelope during the density episode.
5) QHO Bands (optional)
- 1σ, 2σ, 3σ shaded zones around regression equilibrium.
- These visualize the current variance field.
6) Regression Equilibrium (LSR Centerline)
- The white centerline is the regression equilibrium m_t.
7) Spin Flip Markers
- A circle is plotted when |Y_t| > κ (beyond your chosen σ-threshold).
- Marker size is user-controlled (tiny → huge).
HOW TO USE IT
Step 1 — Pick the equilibrium anchor (GM)
- L1 and L2 define MA1 and MA2.
- GM = sqrt(MA1 * MA2) becomes your equilibrium boundary.
Typical choices:
- Faster equilibrium: L1=20, L2=50 (default-like).
- Slower equilibrium: L1=50, L2=200 (macro anchor).
Interpretation:
- GM acts like a “center of mass” between two moving averages.
- Crosses show when price flips from one side of equilibrium to the other.
Step 2 — Tune Density Zones (W and θ)
- W controls the time window measured (how far back you count crossings).
- θ controls how many crossings qualify as a “density/singularity episode.”
Guideline:
- Larger W = slower, broader density detection.
- Higher θ = only the most intense churn is labeled as a Density Zone.
Interpretation:
- A Density Zone is not “bullish” or “bearish” by itself.
- It is a condition: repeated equilibrium toggling (high churn / high compression).
- These often precede expansions, but direction is not implied by the zone alone.
Step 3 — Tune the QHO spin flip sensitivity (L and κ)
- L controls regression memory and σ estimation length.
- κ controls how extreme the displacement must be to trigger a spin flip.
Guideline:
- Smaller L = more reactive centerline and σ.
- Larger L = smoother, slower “field” definition.
- κ=3.0 = strong extreme filter.
- κ=2.0 = more frequent flips.
Interpretation:
- Spin flips mark when price exits the “normal” residual field.
- In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium.
Step 4 — Read the combined behavior (your key thesis)
A) Density Zone forms (GM churn clusters):
- Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope.
- dzHi/dzLo show the envelope range.
B) Expansion occurs:
- Price can release away from the density envelope (up or down).
- If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > κ).
C) Re-coherence:
- After a spin flip, price often returns toward equilibrium structures:
- toward the regression centerline m_t
- and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior.
- The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes.
IMPORTANT NOTES / DISCLAIMERS
- This indicator is an analytical overlay. It does not provide financial advice.
- Density Zones are condition states derived from GM crossing frequency; they do not predict direction.
- Spin Flips are statistical excursions based on regression residuals and rolling σ; markets have fat tails and non-stationarity, so σ-based thresholds are contextual, not absolute.
- All parameters (L1, L2, W, θ, L, κ) should be tuned per asset, timeframe, and volatility regime.
PARAMETER SUMMARY
Geometric Mean / Density Zones:
- L1: MA1 length
- L2: MA2 length
- GM_t = sqrt(SMA(L1)*SMA(L2))
- W: crossing-count lookback window
- θ: crossing density threshold
- D_t = Σ crossEvent_{t-i} over W
- isDZ_t = (D_t >= θ)
- dzHi/dzLo track envelope bounds while isDZ is true
QHO / Spin Flips:
- L: regression + residual σ length
- m_t = linreg(close, L, 0)
- r_t = close_t - m_t
- σ_t = stdev(r_t, L)
- Y_t = r_t / σ_t
- spinFlip_t = (|Y_t| > κ)
Visual Controls:
- toggles for GM lines, cross markers, zone shading, bounds, QHO bands
- marker size options for GM crosses and spin flips
ALERTS INCLUDED
- Density Zone START / END
- Spin Flip UP / DOWN
- Cross Above GM / Cross Below GM
SUMMARY
This indicator treats the Geometric Mean as an equilibrium boundary and identifies “Density Zones” when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers “Spin Flips” when price makes statistically extreme σ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (σ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
Renkli EMA BAR//@version=5
indicator("EMA Color Cross + Trend Arrows V6", overlay=true, max_bars_back=500)
// === Inputs ===
fastLen = input.int(9, "Hızlı EMA")
slowLen = input.int(21, "Yavaş EMA")
// === EMA Hesapları ===
emaFast = ta.ema(close, fastLen)
emaSlow = ta.ema(close, slowLen)
// Trend Yönü
trendUp = emaFast > emaSlow
trendDown = emaFast < emaSlow
// === Çizgi Renkleri ===
lineColor = trendUp ? color.new(color.green, 0) : color.new(color.red, 0)
// === EMA Çizgileri (agresif kalın) ===
plot(emaFast, "Hızlı EMA", lineColor, 4)
plot(emaSlow, "Yavaş EMA", color.new(color.gray, 70), 2)
// === Ok Sinyalleri ===
buySignal = ta.crossover(emaFast, emaSlow)
sellSignal = ta.crossunder(emaFast, emaSlow)
// Büyük Oklar
plotshape(buySignal, title="AL", style=shape.triangleup, color=color.green, size=size.large, location=location.belowbar)
plotshape(sellSignal, title="SAT", style=shape.triangledown, color=color.red, size=size.large, location=location.abovebar)
// === Trend Bar Color ===
barcolor(trendUp ? color.green : color.red)
Relative Volume Bollinger Band %
The Relative Volume Bollinger Band % indicator is a powerful tool designed for traders seeking insights into volume, Bollinger band and relative strength dynamics. This indicator assesses the deviation of a security's trading volume relative to the Bollinger band % indicator and the RSI moving average. Together, these shed light on potential zones of interests where market shifts have a high probability of occurring.
Key Features:
Period: Tailor the indicator's sensitivity by adjusting the period of the smooth moving average and/or the period of the Bollinger band.
How it Works:
Moving Average Calculation: The script computes the simple moving average (SMA) of the relative strength over a defined period. When the higher SMA (orange line) is in the top grey zone, the security is in a zone where it has a high probability of becoming bullish. When the higher SMA is in the lower grey zone, the security is in a zone where it has a high probability of becoming bearish.
-Bollinger Band %: The script also computes the BB% which is primarily used to confirm overbought and oversold areas. When overbought, it turns white and remains white until the overbuying pressure is released indicating that the security is about to become bearish. The script indicates a bearish reversal when the BB% and RVOL bars are both red or when there are no more yellow RVOL bars, if present. When the BB% is<0 and rising, it will also appear white with yellow RVOL bars above. This is a good indication that bulls are beginning to enter buying positions. Confirmation here is indicated when the yellow RVOL bars change to green.
Relative Volume: The indicator then also normalizes the difference volume to indicate areas of high and low volatility. This shows where higher than normal volumes are being traded and can be used as a good indication of when to enter or exit a trade when the above criterions are met.
Visual Representation: The result is visually represented on the chart using columns. Bright green columns signify bullish relative volume values that are much greater than normal. Green columns signify bullish relative volume values that are significant. Red columns represent bearish values that are significant. Blue columns on the BB% indicator represent significant bullish buying in overbought areas. Red columns on the BB% indicator that are < 0 represent a bearish trend that is in an oversold area. This is there to prevent early entry into the market.
Enhancements:
Areas of Interest: Optionally, Areas of interest are represented by red, yellow and green circles on the higher SMA line, aiding in the identification of significant deviations.
Basit Trend AL/SAT//@version=5
indicator("Basit Trend AL/SAT", overlay=true)
yesil = close > open
kirmizi = close < open
1 = yeşil, -1 = kırmızı, 0 = başlangıç
var int trend = 0
trend := yesil ? 1 : kirmizi ? -1 : trend
al = yesil and trend != 1
sat = kirmizi and trend != -1
plotshape(al, title="AL", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.large, text="AL")
plotshape(sat, title="SAT", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large, text="SAT")
bgcolor(trend == 1 ? color.new(color.green, 85) : trend == -1 ? color.new(color.red, 85) : na)
Friday-Monday Pattern Backtest (Market Rebellion)Tests the "Friday-Monday Pattern" popularized by Tom Hougaard / Market Rebellion.
PATTERN LOGIC:
• When Friday's high is LOWER than Thursday's high (setup condition)
• Then Friday's low is often revisited on the following Monday
WHAT THIS INDICATOR SHOWS:
• Orange background highlights valid setup bars (Thu-Fri-Mon)
• Red horizontal line marks Friday's low (the target level)
• Green "SUCCESS" label = Monday hit Friday's low
• Red "FAIL" label = Monday did not reach Friday's low
• Stats table (top-right) shows total setups, successes, and success rate
USE THIS TO:
• Backtest the pattern on any daily chart (works best on indices, forex, futures)
• Verify the claimed "overwhelming" tendency statistically
• Identify which markets/timeframes show the highest success rate
CREDITS:
Pattern idea from Tom Hougaard / Market Rebellion: x.com
Indicator by BacktestBay for transparent pattern verification.
USAGE NOTES:
• Must be applied to DAILY charts
• Uses time_close("D") for accurate day-of-week detection on forex pairs
• No trading signals - purely for statistical backtesting
T3 Al-Sat Sinyalli//@version=5
indicator("T3 Al-Sat Sinyalli", overlay=true, shorttitle="T3 Signal")
// Kullanıcı ayarları
length = input.int(14, minval=1, title="Periyot")
vFactor = input.float(0.7, minval=0.0, maxval=1.0, title="Volatility Factor (0-1)")
// EMA hesaplamaları
ema1 = ta.ema(close, length)
ema2 = ta.ema(ema1, length)
ema3 = ta.ema(ema2, length)
// T3 hesaplaması
c1 = -vFactor * vFactor * vFactor
c2 = 3 * vFactor * vFactor + 3 * vFactor * vFactor * vFactor
c3 = -6 * vFactor * vFactor - 3 * vFactor - 3 * vFactor * vFactor * vFactor
c4 = 1 + 3 * vFactor + vFactor * vFactor * vFactor + 3 * vFactor * vFactor
t3 = c1 * ema3 + c2 * ema2 + c3 * ema1 + c4 * close
// T3 çizimi
plot(t3, color=color.new(color.blue, 0), linewidth=2, title="T3")
// Mum renkleri
barcolor(close > t3 ? color.new(color.green, 0) : color.new(color.red, 0))
// Al-Sat sinyalleri
buySignal = ta.crossover(close, t3)
sellSignal = ta.crossunder(close, t3)
// Okları çiz
plotshape(buySignal, title="Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(sellSignal, title="Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
Optimal Daily MA Suite [MTF]Title: Optimal Daily MA Suite
Description: This is a comprehensive Multi-Timeframe (MTF) analysis suite designed to streamline chart layouts. Instead of loading multiple separate indicators to track various trend lines, this single tool allows traders to overlay higher-timeframe Moving Averages and key support/resistance levels directly onto their intraday charts.
Utility & Workflow: Swing traders and day traders often need to monitor "Big Picture" Daily Moving Averages (like the Daily 200 SMA or Daily 50 EMA) while executing trades on lower timeframes like the 15m or 1H. This tool automates that process, ensuring the major trend context is always visible without cluttering the indicator list.
Key Features:
Multi-Timeframe Engine: By default, all MAs are calculated on the Daily ("D") timeframe, regardless of the chart's current timeframe. This creates a stable "anchor" for trend analysis. The timeframe is fully customizable in the settings (e.g., set to "W" for Weekly analysis).
10 Customizable Slots: Toggle up to 10 different Moving Averages on/off individually.
Flexible Calculation Types: Supports SMA, EMA, WMA, VWMA, RMA (SMMA), and SWMA for every single line.
Trend Cloud Crossovers: Includes two dedicated "Cloud" setups to visualize crossovers (e.g., Golden Cross or Death Cross) with fill shading between the fast and slow lines.
Price Action Crossovers: Optional markers to highlight when the closing price crosses specific MAs.
Contextual Levels: Includes Previous Day High (PDH) and Previous Day Low (PDL) markers for immediate intraday support/resistance context.
How to Use:
Settings: Open the settings menu to select your "Indicator Timeframe" (Default: Daily).
Customization: Enable only the MAs relevant to your strategy (e.g., Enable MA 8 for the 50 SMA and MA 10 for the 200 SMA).
Clouds: Use the "Crossover Set" inputs to define a Bullish/Bearish trend cloud between two moving averages of your choice.
Technical Note: This script uses request.security with lookahead=barmerge.lookahead_off to ensure no repainting of historical data while providing accurate higher-timeframe values on closed bars.
Credits: Standard Moving Average calculations based on TradingView built-in functions.
Range-Weighted Volatility (Comparable)I wrote an indicator to measure volatility inside a range. It’s extremely useful for choosing a trading pair for grid strategies, because it lets you quickly, easily, and fairly identify which asset is the volatility leader. It measures volatility “fairly” relative to the asset’s trading range, not just by absolute price changes.
For example: if an asset trades in a 50–100 range and over a week it moves many, many times between 52 and 98, then it’s highly volatile. But if another asset trades in a 50–1000 range and makes the same 52–98 moves, its volatility is actually low — because the “weight” of that movement relative to the full range is small. The indicator accounts for this “movement weight” relative to the range, then sums these weights into a single number. That number makes it easy to judge whether an asset is suitable for a grid strategy.
That’s exactly what grids need: not just high volatility, but high volatility within a narrow range.
Settings: the Window (bars) field defines how many bars are used to calculate volatility. On a 5-minute chart, one week is 2016 bars (2460/57). By default, the script calculates over 30 days on 5-minute charts. The script also allows you to set a second symbol for comparison, so you can see both results on the same chart.
Написал индикатор для определения волатильности в диапазоне, очень-очень полезно для выбора торговой пары на гриде, позволяет легко и быстро и честно определить лидера по волатильности, при этом определяет ее "честно", относительно торгового диапазона, а не просто изменения цены.
Например если актив торгуется в диапазоне 50-100 и за неделю много-много раз сходил 52-98, то это очень волатильный актив, и в то же время если актив торгуется в диапазоне 50-1000 и сходил так же 52-98, то это будет низко волатильный актив, т.е. учитывается "вес" движения относительно диапазона и данные "веса" суммируются в одну единую цифру по которой и можно оценивать насколько актив подходит под грид стратегию.
А ведь именно это для гридов и нужно, не просто высокая волатильность, а именно высокая волатильность в узком диапазоне.
Касательно настроек , в поле Windows (bars) задается количество баров по которым скрипт будет считать волатильность, на 5-ти минутки неделя это 2016 (24*60/5*7), стандартно скрипт считает за 30 дней на 5-ти минутки. + в самом скрипте можно указать вторую пару для сравнения чтоб на одном графике увидеть результат.
