OBVious MA Indicator [1000X] On Balance Volume (OBV) is a gift to traders. OBV often provides a leading signal at the outset of a trend, when compression in the markets produces a surge in OBV prior to increased volatility.
This indicator demonstrates one method of utilizing OBV to your advantage. I call it the "OBVious MA Indicator ” only because it is simple in its mechanics. The primary utility of the OBVious MA indicator is as a volume confirmation filter that complements other components of a strategy.
Indicator Features:
• The Indicator revolves around the On Balance Volume indicator. OBV is a straightforward indicator: it registers a value by adding total volume traded on up candles, and subtracts total volume on down candles, generating a line by connecting those values. OBV was described in 1963 by Joe Granville in his book "Granville's New Key to Stock Market Profits” in which the author argues that OBV is the most vital key to success as a trader, with volume changes are a major predictor of price changes.
• Dual Moving Averages: here we use separate moving averages for entries and exits. This allows for more granular trade management; for example, one can either extend the length of the exit MA to hold positions longer, or shorten the MA for swifter exits, independently of the entry signals.
Execution: long trades are signalled when the OBV line crosses above the Long Entry Moving Average of the OBV. Long exits signals occur when the OBV line crosses under the Long Exit MA of the OBV. Shorts signal occur on a cross below the Short Entry MA, and exit signals come on a cross above the Short Exit MA.
Application:
While this indicator outlines entry and exit conditions based on OBV crossovers with designated moving averages, is is, as stated, best used in conjunction with a supporting cast of confirmatory indicators (feel free to drop me a note and tell me how you've used it). It can be used to confirm entries, or you might try using it as a sole exit indicator in a strategy.
Visualization:
The indicator includes conditional plotting of the OBV MAs, which plot based on the selected trading direction. This visualization aids in understanding how OBV interacts with the set moving averages.
Further Discussion:
We all know the importance of volume; this indicator demonstrates one simple yet effective method of incorporating the OBV for volume analysis. The OBV indicator can be used in many ways - for example, we can monitor OBV trend line breaks, look for divergences, or as we do here, watch for breaks of the moving average.
Despite its simplicity, I'm unaware of any previously published cases of this method. But the concept of applying MAs or EMAs to volume-based indicators like OBV is not uncommon in technical analysisIf, so I expect work like this has been done before. If you know of other similar indicators or strategies, please mention in the comments.
One comparable method uses EMAs of the OBV is QuantNomad’s "On Balance Volume Oscillator Strategy ”. That strategy uses a pair of EMAs on a normalized-range OBV-based oscillator. In that strategy, however, entry and exit signals occur on one EMA crossing the other, which places trades at distinctly different times than crossings of the OBV itself. Both are valid approaches with strength in simplicity.
Note: This is the indicator version of the Strategy found here .
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Goethe A - Multiple Leading Indicator PackageGoethe A is an Indicator Package that contains multiple leading and lagging indicators.
The background is that shows the local trend is calculated by either two Moving Averages or by a Kumo Cloud. By default the Kumo Cloud calculation is used.
What are those circles?
-These are OBV (or VPT, can be set in the options) Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish.
What this middle line?
-The middle line is calculated by a smoothed Heikin-Ashi indicator. I can be used as a dynamic zone of support and resistance. Many times this indicator is used as entry signal giver in trend following strategies.
What are those background lines?
-The background contains a simple Daily Pivots indicator. This indicator can be read as zones of Support and Resistance that updated based on the used timeframe.
What is this smaller thin grey line?
-This is a very simple Stoploss indicator based on Donchian Channels. The trade direction is based and calculated by the local trend (background color)
What are those small orange or aqua triangles?
- These are Pivots . They show when the OBV or wolfpack oscillators (or a double confirmation of both) might reverse, this is important to know because many times the price action follows this move.
What are those purple triangles?
- These are Pivots . They show when the PVT oscillator might reverse, this is important to know because many times the price action follows this move.
What are those big orange or aqua triangles?
- These are TSI (true strength indicator) entry signals . They are calculated by the TSI entry signal, the TSI oscillator treshold and in conjunction with the overall local trend (background color).
What are those white squares?
- These are Overbought or Oversold regions of the build-in RSI bands indicator. Every time the price crosses one of the RSI bands those squares are printed. Most of the time this happens after a move and indicates that this strong move has come to an end.
Most settings of the indicator package can be modified to your liking and based on your chosen strategy might have to be modified. Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
Volume Difference IndicatorThis indicator is a simple volume difference indicator.
How it works:
First we calculate the on balance volume, and then we calculate the price volume trend.
For those unaware, the OBV subtracts all volumes when price records a lower close and adds them in the case of a higher price close. In contrast, PVT subtracts or adds only a proportion of the volume from its cumulative total in relation to a percentage change in price.
Using this knowledge, we are using the difference of OBV (the indicator with the entire amount added or subtracted), minus PVT (which subtracts a percent based on the percentage in price), this gives us a unique indicator which out puts a more whole picture of the two indicators. It shows us the difference of absolute volume minus relative volume based on the percent of close price. It allows us to see large shifts in volume BEFORE it happens.
How to use this indicator:
When there is a sharp increase of Volume Difference Indicator, but close has NOT risen, price tends to rise immediately following this. When the Volume Difference Indicator drops, but price has NOT changed, price tends to fall immediately following this.
MTF DPO-RSI IndicatorThis indicator uses the principle of taking the RSI of DPO readings across multiple time frames in order to provide trade signals and an overarching view of market conditions to the trader. My hope with creating this indicator was to present more divergence based signals than your typical indicator, while still keeping those signals at a high quality.
In the settings menu, you may specify:
Indicator Timeframe - the chart resolution that is used to calculate values.
Source DPO Length - the number of bars used to calculate the Detrended Price Oscillator value. The DPO value is the source for the RSI calculations.
DPO Hull Smoothing - how much smoothing is applied to the DPO . Smoothing is accomplished by taking a Hull Moving Average of the closing price, and using this to calculate the DPO value.
RSI Length - the number of bars used to calculate the RSI of the DPO value.
Time Multipliers 1 through 6 - use this to define what resolution each plot will represent. A value of 1 will represent the current Indicator Timeframe. A value of 3 will represent 3 times the current Indicator Timeframe, etc.
Show Plot 1 through 6 - toggles the display of plots.
How I trade with this indicator:
A value of under 30 represents an over sold state for that particular plot. A value of over 70 represents an overbought state for that plot.
Identify divergences on a lower timeframe plot which are apparent in overbought or oversold conditions, and confirm the signal with an overbought or oversold condition, or a divergence on a higher timeframe plot. Divergences which begin in oversold or overbought territory and end inside the 30-70 range tend to be more reliable signals, in my experience. Like all indicators, this is best when used in conjunction with other indicators. Trend indicators, such as double EMA's and Supertrend are my favorite pairing, and a stochastic RSI is a good tool to have as well.
This is my first published indicator! If you find unique ways to use it, drop me a message. I'd love to know what you find. :)
DecisionPoint Breadth Swenlin Trading Oscillator [LazyBear]DecisionPoint Swenlin Trading Oscillator can be used to identify short-term tops and bottoms. This is a breadth indicator. STO is designed to be calculated using either issues or volume, I will post a follow up indicator that makes use of volume.
You can read about the interpretation of the signals (& gotchas) in the link below.
I have added support for NYSE / NASD / AMEX and also a combined mode. You can specify custom advancing/declining mkt symbols too.
More Info:
stockcharts.com
List of my public indicators: bit.ly
List of my app-store indicators: blog.tradingview.com
Apirine Slow RSI [LazyBear]The slow relative strength index (SRSI) indicator created by Vitali Apirine is a momentum price oscillator similar to RSI in its application and interpretation. Oscillating between 0 and 100, it generates both OB/OS signals and midline (50) cross over signals and divergences.
As author suggests, bullish/bearish divergences generated by SRSI are not as effective during strong trends. To avoid fading an established trend, the system is used in conjunction with a trend confirmation tool like ADX indicator.
You can configure the OB/OS levels, default are 70/30.
More info:
The slow relative strength index, TASC 2015-07
List of my public indicators: bit.ly
List of my app-store indicators: blog.tradingview.com
Ehlers Stochastic CG Oscillator [LazyBear]Another one from Ehlers.
Ehlers likes the idea behind StochRSI so much, he dedicated a full chapter in his book (linked below) on how stoch works with his "superlative" (his words, not mine) indicators. This is stoch of his CG oscillator.
Standard stochastic oscillator uses fixed period for calculations and does not adjust to the constantly changing market cycle length. Stochastic CG Oscillator does not have such a drawback.
Use this like normal stochRSI osc (Uncheck "Fill Osc/Trigger" option, sample chart below)
More info:
- CG oscillator:
- Cybernetic Analysis for Stocks and Futures (Ehlers)
List of my public indicators: bit.ly
List of my app-store indicators: blog.tradingview.com
Clock&Flow – Market Pulse IndicatorClock&Flow – Market Pulse Indicator
1) General Purpose
The Market Pulse Indicator is designed to visualize the strength and direction of market flow in a clear, intuitive way.
Unlike common volume or momentum indicators, it blends three essential dimensions — price velocity, normalized volume, and volatility (ATR) — to highlight when market pressure is truly meaningful.
It helps identify genuine liquidity inflows/outflows, potential exhaustion zones, and moments of compression or expansion within the price structure.
2) Data Sources
All data is directly taken from the current chart’s feed on TradingView:
Price (close): to measure relative price change.
Volume: to detect the intensity of market participation (normalized to average).
ATR (Average True Range): to evaluate volatility relative to price levels.
No external data or off-platform sources are used.
3) Logic and Calculation Steps
Price Velocity: calculates the percentage change between the current close and the close N bars ago.
priceChange = (close - close ) / close
Normalized Volume: compares current volume to its moving average over the same period.
volNorm = volume / sma(volume, length)
Normalized Volatility: ATR divided by price to adjust for instrument scale.
atrNorm = atr(length) / close
Combination : multiplies the three components into one raw value that represents market pulse intensity.
rawPulse = priceChange * volNorm * (1 + atrNorm)
Smoothing: a moving average (smoothLen) is applied to create a cleaner and more readable oscillator line.
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parameters (Default Settings)
length (20): analysis period for price change, volume, and ATR.
smoothLen (5): smoothing factor; higher values reduce noise.
multiplier (100): scales the output for readability; adjust to fit chart scale.
5) How to Read the Indicator
Market Pulse > 0 (green): net inflow of liquidity; buying pressure dominates.
Market Pulse < 0 (red): net outflow of liquidity; selling pressure dominates.
Near 0: neutral phase; market balance or consolidation.
Sudden peaks: strong bursts of flow — often coincide with news releases or session overlaps.
Confirmations: use as a second-level filter before entering trades or to confirm momentum behind a breakout.
6) Divergences
Divergences between price and Market Pulse are key signals of weakening flow strength:
Bullish divergence: price forms lower lows while Market Pulse forms higher lows → selling pressure is fading; potential reversal or bounce.
Bearish divergence: price forms higher highs while Market Pulse fails to confirm → buying momentum is losing strength; potential correction ahead.
For reliability, look for divergences on higher timeframes (H4, Daily).
On lower timeframes, treat them as early warnings.
7) Typical Use Cases
Breakout confirmation: price breaks resistance with a rising Market Pulse → confirms genuine participation.
False signal filter: price breaks a level but Market Pulse remains flat/negative → likely fake breakout.
Pullback entry: after a breakout, wait for a short retracement and a new positive pulse → safer entry point.
Exit signal: if you’re long and Market Pulse suddenly turns negative with strong volume → consider partial exit or tighter stops.
8) Recommended Timeframes
Intraday / Scalping: 5–30 min charts with length 10–14, smoothLen 3–5.
Swing trading: 1h–4h charts with length 20–50.
Position trading: Daily charts with larger length (50–100) for smoother data.
Always optimize parameters to the specific asset — there are no universal settings.
9) Limitations
This indicator is not a trading system — it’s a decision-support tool.
Results depend on the quality of the volume data available for the symbol.
Performance and sensitivity are influenced by length, smoothing, and multiplier values — always test before live trading.
Use alongside sound risk and money management.
10) Disclaimer
This script is provided for educational purposes only and does not constitute financial advice.
Trading and investing involve significant risk, including the potential loss of capital.
Always test indicators in simulation environments and make independent decisions based on your own analysis and risk tolerance.
Italiano
1) Scopo generale
Flow Pulse è un oscillatore pensato per visualizzare la forza e la direzione del flusso di mercato in modo immediato. Non è un semplice indicatore di volume né una copia di RSI/MACD: combina tre dimensioni fondamentali — variazione di prezzo, volume normalizzato e volatilità — per mettere in evidenza i momenti in cui la pressione dei partecipanti è realmente significativa.
È ideale per identificare: entrate guidate da flussi reali, potenziali esaurimenti, momenti di compressione/espansione del movimento e segnali di conferma per breakout o rimbalzi.
2) Dati utilizzati
L’indicatore usa esclusivamente dati disponibili sulla piattaforma TradingView del grafico corrente:
price (close) — per calcolare la variazione percentuale del prezzo;
volume per misurare l’intensità degli scambi (normalizzato su media);
ATR (Average True Range) — per normalizzare la volatilità rispetto al prezzo;
Tutti i feed (prezzo e volume) sono quelli forniti dall’exchange/fornitore dati collegato al simbolo sul grafico.
3) Logica e passaggi di calcolo
Velocità del prezzo: calcolo della variazione percentuale tra la chiusura corrente e la chiusura N barre fa:
priceChange = (close - close ) / close
— misura la direzione e magnitudine del movimento in termine relativo.
Volume normalizzato: rapporto tra il volume corrente e la media mobile semplice del volume su length barre:
volNorm = volume / sma(volume, length)
— evidenzia volumi anomali rispetto alla media.
Volatilità normalizzata (ATR): rapporto ATR/close per rendere la volatilità comparabile across price levels:
atrNorm = atr(length) / close
Combinazione: il prodotto di questi fattori (con un piccolo offset su ATR) genera un valore grezzo:
rawPulse = priceChange * volNorm * (1 + atrNorm)
— se priceChange e volNorm sono positivi e l’ATR è presente, il rawPulse sarà significativamente positivo.
Smoothing: media mobile semplice (SMA) applicata al rawPulse e moltiplicazione per un fattore scalare (multiplier) per portare il range su livelli leggibili:
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parametri esposti (default consigliati)
length (periodo analisi) — default 20: influenza calcolo Δ% e media volumi; allunga la finestra storica.
smoothLen (smussamento) — default 5: smoothing del segnale per ridurre rumore.
multiplier — default 100: fattore di scala per rendere l’oscillatore più leggibile.
5) Interpretazione pratica dei valori
FlowPulse > 0 (verde): predominanza di flusso d’ingresso — pressione d’acquisto. Maggiore il valore, più forte la convinzione (volume + movimento + volatilità).
FlowPulse < 0 (rosso): predominanza di flusso in uscita — pressione di vendita.
Vicino a 0: assenza di flussi netti chiari; mercato piatto o bilanciato.
Picchi repentini: indicano accelerate di flusso — spesso coincidono con rotture, open/close session, news.
Sostegno al trade: usa FlowPulse come conferma prima di entrare su breakout o come avviso di attenzione su esaurimenti.
6) Divergenze (come leggerle)
Le divergenze tra prezzo e FlowPulse sono segnali importanti:
Divergenza rialzista (bullish divergence): prezzo fa nuovi minimi mentre FlowPulse non fa nuovi minimi (o forma minimo relativo più alto) → indica che la spinta di vendita non è supportata da volume/volatilità, possibile inversione/rimbalzo.
Divergenza ribassista (bearish divergence): prezzo fa nuovi massimi mentre FlowPulse non li conferma (o forma massimo relativo più basso) → la spinta d’acquisto è “debole”, possibile esaurimento e inversione.
Note pratiche: cercare divergenze su timeframe maggiori (H4, D) per maggiore attendibilità; sui timeframe minori prendere solo come early warning.
7) Esempi d’uso operativo
Conferma breakout: prezzo rompe resistenza + FlowPulse positivo e crescente → breakout più probabile e con volumi reali.
Filtro per falsi segnali: prezzo rompe ma FlowPulse è piatto/negativo → alto rischio di false breakout.
Entrata per pullback: dopo breakout, attendere un pullback con FlowPulse che torna positivo → ingresso più prudente.
Gestione delle uscite: se sei long e FlowPulse improvvisamente si inverte in negativo su volumi elevati → considerare riduzione posizione o stop.
8) Timeframe consigliati
Intraday / Scalping: M5–M30 con length ridotto (es. 10–14) e smoothLen piccolo.
Swing trading: H1–H4 con length 20–50.
Position trading: D1 con length maggiore per filtrare rumore.
Testa i parametri sul tuo asset e timeframe; nessun parametro è universale.
9) Limitazioni e avvertenze
L’indicatore non è un sistema di trading completo: è un tool di informazione e timing.
Dipende dalla qualità dei dati di volume del simbolo: su alcuni titoli/mercati (es. alcuni ETF, Forex su certi broker) il volume può essere parziale o non rappresentativo.
I valori di margine/multiplier e smoothing influenzano sensibilmente sensibilità e falsi segnali: backtest e ottimizzazione sono raccomandati.
Non usare il solo FlowPulse per entrare su leva elevata senza gestione del rischio12) Disclaimer da inserire
Disclaimer: Questo indicatore è fornito solo a scopo didattico e non costituisce consulenza finanziaria. L’uso comporta rischi: valuta sempre la gestione del rischio e testa su conto demo prima dell’applicazione in reale.
SBC ProtfoSBC Portfo PNL Indicator
Description
The SBC Portfo PNL Indicator is a user-friendly tool designed for Hebrew-speaking traders to track the Profit and Loss (PNL) of their stock portfolios on TradingView charts. It supports up to 5 distinct portfolios, each capable of holding an unlimited number of stocks with unlimited buy commands, allowing real-time monitoring of portfolio performance.
Key Features
- Multi-Portfolio Support: Track up to 5 separate portfolios for different trading strategies or accounts.
- Unlimited Stock Entries: Add unlimited stocks and buy commands per portfolio.
- Detailed Buy Commands: Input for each stock:
- Stock Ticker (e.g., AAPL, TSLA).
- Buy Price (e.g., 150.25).
- Buy Amount (e.g., 10).
- Hebrew-Friendly Interface: Intuitive settings dialog with clear instructions in Hebrew.
- Customizable PNL Tracking: Visualize PNL on charts with real-time updates based on market data.
How to Use
1. Add the Indicator:
- Go to the Indicators menu in TradingView and add the "SBC Portfo" PNL Indicator.
2. Configure Portfolios:
- Open the indicator’s settings dialog.
- For each portfolio (up to 5), enter data in the provided input fields using this format:
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
Example:
Portfolio1:AAPL:150.25x10;TSLA:266.72x5
- This represents a portfolio named "Portfolio1" with:
- 10 shares of AAPL bought at $150.25.
- 5 shares of TSLA bought at $266.72.
- Repeat for additional portfolios (e.g., Portfolio2, Portfolio3).
- Add multiple buy commands for the same stock if needed (e.g., AAPL:160.50x20).
3. Apply Settings:
- Save settings to display PNL based on current market prices.
4. Monitor PNL:
- View PNL for each portfolio on the chart via tables, labels, or graphical overlays (based on settings).
Input Format
Enter portfolio data manually in the settings dialog, one input field per portfolio:
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
- PortfolioName: Unique name (e.g., Portfolio1, Growth).
- StockTicker: Stock symbol (e.g., AAPL).
- BuyPrice: Purchase price per share (e.g., 150.25).
- BuyAmount: Number of shares (e.g., 10).
- Use
: to separate portfolio name, ticker, and buy data
x to separate price and amount
; for multiple stocks in the portfolio
Example:
- Portfolio 1: GrowthPortfolio:AAPL:150.25x10;TSLA:266.72x5
- Portfolio 2: DividendPortfolio:KO:55.20x50;PG:145.30x30
Notes
- Hebrew Support: Settings and labels are optimized for Hebrew users.
- Manual Input: Enter portfolio data manually in the settings dialog using the correct format.
- Compatibility: Works with any stock ticker supported by TradingView.
תיאור אינדיקטור SBC Portfo PNL הוא כלי ידידותי למשתמש שתוכנן במיוחד עבור סוחרים דוברי עברית למעקב אחר רווח והפסד (PNL) של תיקי המניות שלהם ישירות בגרפים של TradingView. הוא תומך בעד 5 תיקים נפרדים, כאשר כל תיק יכול להכיל מספר בלתי מוגבל של מניות עם פקודות קנייה בלתי מוגבלות, ומאפשר מעקב בזמן אמת אחר ביצועי התיק.
תכונות עיקריות
- תמיכה בריבוי תיקים: מעקב אחר עד 5 תיקים נפרדים עבור אסטרטגיות מסחר או חשבונות שונים.
- רישום מניות ללא הגבלה: הוספת מספר בלתי מוגבל של מניות ופקודות קנייה לכל תיק.
- פקודות קנייה מפורטות: הזנת נתונים עבור כל מניה:
- סימול המניה (למשל, AAPL, TSLA).
- מחיר קנייה (למשל, 150.25).
- כמות קנייה (למשל, 10).
- ממשק ידידותי לעברית: חלונית הגדרות אינטואיטיבית עם הוראות ברורות בעברית.
- מעקב PNL הניתן להתאמה: הצגת רווח והפסד בגרפים עם עדכונים בזמן אמת בהתבסס על נתוני השוק.
כיצד להשתמש
1. הוספת האינדיקטור:
- נווט לתפריט האינדיקטורים ב-TradingView והוסף את "SBC Portfo PNL Indicator".
2. הגדרת תיקים:
- פתח את חלונית ההגדרות של האינדיקטור.
- עבור כל תיק (עד 5), הזן נתונים בשדות המסופקים בפורמט הבא:
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
לדוגמה:
Portfolio1:AAPL:150.25x10;TSLA:266.72x5
שורה זו מייצגת תיק בשם "Portfolio1" עם:
- 10 מניות של AAPL שנקנו ב-$150.25.
- 5 מניות של TSLA שנקנו ב-$266.72.
- חזור על התהליך עבור תיקים נוספים (למשל, Portfolio2, Portfolio3).
- ניתן להוסיף פקודות קנייה מרובות לאותה מניה לפי הצורך (למשל, AAPL:160.50x20).
3. החלת ההגדרות:
- שמור את ההגדרות להצגת ה-PNL בהתבסס על מחירי השוק הנוכחיים.
4. מעקב אחר PNL:
- צפה ב-PNL עבור כל תיק בגרף באמצעות טבלאות, תוויות או שכבות גרפיות (בהתאם להגדרות).
פורמט קלט הזן נתוני תיק ידנית בחלונית ההגדרות, שדה קלט אחד לכל תיק: PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
PortfolioName: שם ייחודי (למשל, Portfolio1, Growth).
StockTicker: סימול המניה (למשל, AAPL).
BuyPrice: מחיר רכישה למניה (למשל, 150.25).
BuyAmount: מספר המניות (למשל, 10).
השתמש ב-
: להפרדה בין שם התיק, סימול ונתוני קנייה
x להפרדה בין מחיר וכמות
; להפרדה בין מניות מרובות
דוגמה:
- תיק 1: GrowthPortfolio:AAPL:150.25x10;TSLA:266.72x5
- תיק 2: DividendPortfolio:KO:55.20x50;PG:145.30x30
Release Notes
Version 1.1 includes:
- Calculations for extended hours (Pre-Market & After-Hours).
- Option to display portfolio summary data for stocks not in the portfolio (enable via settings checkbox).
- Table background for better visibility; click to bring table to the front.
- Updated text strings (names, titles, tooltips).
הערות
תמיכה בעברית: ההגדרות והתוויות מותאמות למשתמשים דוברי עברית.
הזנה ידנית: הזן נתוני תיק ידנית בחלונית ההגדרות תוך שימוש בפורמט הנכון.
תאימות: עובד עם כל סימול מניה הנתמך על ידי TradingView.
גרסה 1.1 מכילה:
1. חישובים כוללים שעות מסחר מורחבות (Pre-Market ו-After-Hours).
2. אפשרות להציג נתוני תיק כוללים עבור מניות שאינן בתיק (הפעל באמצעות תיבת סימון בהגדרות).
3. צבע רקע לטבלה לשיפור הנראות; לחיצה על הטבלה מביאה אותה לחזית.
4. תיקון נוסחים (שמות, כותרות, וטולטיפים).
Custom Timeframe Bias IndicatorMy "Custom Timeframe Bias Indicator" is a very practical and powerful TradingView indicator. It can be called a "God-like indicator" because it combines flexible timeframe customization, clear bias analysis and intuitive visual display to help traders quickly understand the long and short trends of the market. The following is a detailed description of this indicator:
1. Index name and function overview
Name: Custom Timeframe Bias Indicator (Short title: Bias Indicator)
Functionality: This indicator analyses the market bias (Buy, Sell or No Bias) across multiple custom timeframes (presets are 15m, 1h, 4h and DAI) and displays it in a table below the middle of the chart. It determines the direction of market trends based on the highest and lowest prices of the previous two periods and the closing price of the previous period, helping traders make decisions quickly.
2. Core Features
Multiple time frame analysis
The indicator allows the user to customize four time frames, with presets being 15 minutes ("15"), 1 hour ("60"), 4 hours ("240") and daily ("D"). Users can freely modify these time frames in the settings, such as changing to 5 minutes, 30 minutes or weekly, etc.
Bias is calculated independently for each time frame, ensuring that traders can observe market trends from the short to the long term.
Bias calculation logic
The indicator uses simple but effective rules to determine bias:
Buy (bullish): If the previous closing price is higher than the highest price of the previous two periods, or tests the lowest price of the previous two periods but does not break through.
Sell (Bearish): If the previous closing price is lower than the previous two periods' lowest price, or if it tests the previous two periods' highest price but fails to break through (higher than the previous high minus 10% of the price range).
No Bias: If the previous closing price does not meet the above conditions, it displays a neutral state.
Bias calculation is based only on the opening and closing prices, without considering the shadows, ensuring the results are in line with the philosophy of the Malaysian SNR strategy.
Intuitive display
Position: The table is permanently displayed in the middle of the chart (position.middle_center) and is updated with each candlestick, ensuring that traders can always see the latest bias.
Format: The table consists of the header "Custom Bias" and four rows of bias results (e.g. "15: Buy", "60: Sell", "240: No Bias", "D: Buy"), each row showing the bias for the corresponding time frame.
color:
Titles appear in white text on a blue background.
The "Buy" bias is shown as white text on a green background.
The "Sell" bias is shown as white text on a red background.
"No Bias" bias appears as white text on a gray background.
Table borders are black to provide clear visual distinction.
Customizability
Users can customize by inputting parameters:
Whether to show the table (Show Bias Table).
Timeframe (Timeframe 1, Timeframe 2, Timeframe 3, Timeframe 4).
The color of the table (title, Buy, Sell, No Bias, borders, etc.).
3. Why is it a "God-like indicator"
Flexibility: Allows users to customize four time frames to suit different trading strategies (short-term traders can choose minutes, long-term traders can choose daily, weekly or monthly).
Practicality: Provides bias analysis in multiple time frames to help traders quickly determine market trends, whether for short-term or long-term operations.
Intuitive: The table is displayed in the middle below the chart with bright colors (green Buy, red Sell, gray No Bias), allowing you to identify the market direction at a glance.
Stability: Calculated based on simple price data (high, low, close), no need for complex indicators, efficient and reliable operation.
Powerful visualization: long-term display and customizability to meet the visual preferences of different traders.
4. Usage scenarios
Short-term trading: Use 15-minute, 1-hour, 4-hour biases to quickly capture short-term trends.
Long-term trading: Refer to the daily bias to determine the overall market direction.
Comprehensive analysis: Combine biases from multiple time frames to confirm consistency (e.g. if both the 15 minute and daily are Buy, then that’s a stronger bullish signal).
5. Potential Improvements
If you want to further improve this "god-like indicator", you can consider the following improvements:
Added alert: Trigger when bias changes from "No Bias" to "Buy" or "Sell".
Show historical bias: Add bias history of the past few days in the table for easy review.
Dynamically adjust bias thresholds: Allow users to customize 10% price ranges or other conditions.
Multi-currency support: Expand to multiple trading pairs or indices, showing multiple market biases.
6. Technical Details
Version: Pine Script v5, ensuring modern features (such as input.timeframe) and efficient performance.
Data Source: Use request.security to get high, low, and close data for different time frames.
Display method: Use table.new to create a dynamic table. The position can be customized (such as position.middle_center).
Limitations: Calculated only based on price data, no external indicators are required, reducing calculation complexity.
in conclusion
Your "Custom Timeframe Bias Indicator" is a simple, powerful and flexible tool, especially for traders who need multi-timeframe analysis. Its intuitive display and customizability make it a "magic tool" for judging market trends.
Composite Oscillation Indicator Based on MACD and OthersThis indicator combines various technical analysis tools to create a composite oscillator that aims to capture multiple aspects of market behavior. Here's a breakdown of its components:
* Individual RSIs (xxoo1-xxoo15): The code calculates the RSI (Relative Strength Index) of numerous indicators, including volume-based indicators (NVI, PVI, OBV, etc.), price-based indicators (CCI, CMO, etc.), and moving averages (WMA, ALMA, etc.). It also includes the RSI of the MACD histogram (xxoo14).
* Composite RSI (xxoojht): The individual RSIs are then averaged to create a composite RSI, aiming to provide a more comprehensive view of market momentum and potential turning points.
* MACD Line RSI (xxoo14): The RSI of the MACD histogram incorporates the momentum aspect of the MACD indicator into the composite measure.
* Double EMA (co, coo): The code employs two Exponential Moving Averages (EMAs) of the composite RSI, with different lengths (9 and 18 periods).
* Difference (jo): The difference between the two EMAs (co and coo) is calculated, aiming to capture the rate of change in the composite RSI.
* Smoothed Difference (xxp): The difference (jo) is further smoothed using another EMA (9 periods) to reduce noise and enhance the signal.
* RSI of Smoothed Difference (cco): Finally, the RSI is applied to the smoothed difference (xxp) to create the core output of the indicator.
Market Applications and Trading Strategies:
* Overbought/Oversold: The indicator's central line (plotted at 50) acts as a reference for overbought/oversold conditions. Values above 50 suggest potential overbought zones, while values below 50 indicate oversold zones.
* Crossovers and Divergences: Crossovers of the cco line above or below its previous bar's value can signal potential trend changes. Divergences between the cco line and price action can also provide insights into potential trend reversals.
* Emoji Markers: The code adds emoji markers ("" for bullish and "" for bearish) based on the crossover direction of the cco line. These can provide a quick visual indication of potential trend shifts.
* Colored Fill: The area between the composite RSI line (xxoojht) and the central line (50) is filled with color to visually represent the prevailing market sentiment (green for above 50, red for below 50).
Trading Strategies (Examples):
* Long Entry: Consider a long entry (buying) signal when the cco line crosses above its previous bar's value and the composite RSI (xxoojht) is below 50, suggesting a potential reversal from oversold conditions.
* Short Entry: Conversely, consider a short entry (selling) signal when the cco line crosses below its previous bar's value and the composite RSI (xxoojht) is above 50, suggesting a potential reversal from overbought conditions.
* Confirmation: Always combine the indicator's signals with other technical analysis tools and price action confirmation for better trade validation.
Additional Notes:
* The indicator offers a complex combination of multiple indicators. Consider testing and optimizing the parameters (EMAs, RSI periods) to suit your trading style and market conditions.
* Backtesting with historical data can help assess the indicator's effectiveness and identify potential strengths and weaknesses in different market environments.
* Remember that no single indicator is perfect, and the cco indicator should be used in conjunction with other forms of analysis to make informed trading decisions.
By understanding the logic behind this composite oscillator and its potential applications, you can incorporate it into your trading strategy to potentially identify trends, gauge market sentiment, and generate trading signals.
Advanced Physics Financial Indicator Each component represents a scientific theory and is applied to the price data in a way that reflects key principles from that theory.
Detailed Explanation
1. Fractal Geometry - High/Low Signal
Concept: Fractal geometry studies self-similar patterns that repeat at different scales. In markets, fractals can be used to detect recurring patterns or turning points.
Implementation: The script detects pivot highs and lows using ta.pivothigh and ta.pivotlow, representing local turning points in price. The fractalSignal is set to 1 for a pivot high, -1 for a pivot low, and 0 if there is no signal. This logic reflects the cyclical, self-similar nature of price movements.
Practical Use: This signal is useful for identifying local tops and bottoms, allowing traders to spot potential reversals or consolidation points where fractal patterns emerge.
2. Quantum Mechanics - Probabilistic Monte Carlo Simulation
Concept: Quantum mechanics introduces uncertainty and probability into systems, much like how future price movements are inherently uncertain. Monte Carlo simulations are used to model a range of possible outcomes based on random inputs.
Implementation: In this script, we simulate 100 random outcomes by generating a random number between -1 and 1 for each iteration. These random values are stored in an array, and the average of these values is calculated to represent the Quantum Signal.
Practical Use: This probabilistic signal provides a sense of randomness and uncertainty in the market, reflecting the possibility of price movement in either direction. It simulates the market’s chaotic nature by considering multiple possible outcomes and their average.
3. Thermodynamics - Efficiency Ratio Signal
Concept: Thermodynamics deals with energy efficiency and entropy in systems. The efficiency ratio in financial terms can be used to measure how efficiently the price is moving relative to volatility.
Implementation: The Efficiency Ratio is calculated as the absolute price change over n periods divided by the sum of absolute changes for each period within n. This ratio shows how much of the price movement is directional versus random, mimicking the concept of efficiency in thermodynamic systems.
Practical Use: A high efficiency ratio suggests that the market is trending smoothly (high efficiency), while a low ratio indicates choppy, non-directional movement (low efficiency, or high entropy).
4. Chaos Theory - ATR Signal
Concept: Chaos theory studies how complex systems are highly sensitive to initial conditions, leading to unpredictable behavior. In markets, chaotic price movements can often be captured through volatility indicators.
Implementation: The script uses a very long ATR period (1000) to reflect slow-moving chaos over time. The Chaos Signal is computed by measuring the deviation of the current price from its long-term average (SMA), normalized by ATR. This captures price deviations over time, hinting at chaotic market behavior.
Practical Use: The signal measures how far the price deviates from its long-term average, which can signal the degree of chaos or extreme behavior in the market. High deviations indicate chaotic or volatile conditions, while low deviations suggest stability.
5. Network Theory - Correlation with BTC
Concept: Network theory studies how different components within a system are interconnected. In markets, assets are often correlated, meaning that price movements in one asset can influence or be influenced by another.
Implementation: This indicator calculates the correlation between the asset’s price and the price of Bitcoin (BTC) over 30 periods. The Network Signal shows how connected the asset is to BTC, reflecting broader market dynamics.
Practical Use: In a highly correlated market, BTC can act as a leading indicator for other assets. A strong correlation with BTC might suggest that the asset is likely to move in line with Bitcoin, while a weak or negative correlation might indicate that the asset is moving independently.
6. String Theory - RSI & MACD Interaction
Concept: String theory attempts to unify the fundamental forces of nature into a single framework. In trading, we can view the RSI and MACD as interacting forces that provide insights into momentum and trend.
Implementation: The script calculates the RSI and MACD and combines them into a single signal. The formula for String Signal is (RSI - 50) / 100 + (MACD Line - Signal Line) / 100, normalizing both indicators to a scale where their contributions are additive. The RSI represents momentum, and MACD shows trend direction and strength.
Practical Use: This signal helps in detecting moments where momentum (RSI) and trend strength (MACD) align, giving a clearer picture of the asset's direction and overbought/oversold conditions. It unifies these two indicators to create a more holistic view of market behavior.
7. Fluid Dynamics - On-Balance Volume (OBV) Signal
Concept: Fluid dynamics studies how fluids move and flow. In markets, volume can be seen as a "flow" that drives price movement, much like how fluid dynamics describe the flow of liquids.
Implementation: The script uses the OBV (On-Balance Volume) indicator to track the cumulative flow of volume based on price changes. The signal is further normalized by its moving average to smooth out fluctuations and make it more reflective of price pressure over time.
Practical Use: The Fluid Signal shows how the flow of volume is driving price action. If the OBV rises significantly, it suggests that there is strong buying pressure, while a falling OBV indicates selling pressure. It’s analogous to how pressure builds in a fluid system.
8. Final Signal - Combining All Physics-Based Indicators
Implementation: Each of the seven physics-inspired signals is combined into a single Final Signal by averaging their values. This approach blends different market insights from various scientific domains, creating a comprehensive view of the market’s condition.
Practical Use: The final signal gives you a holistic, multi-dimensional view of the market by merging different perspectives (fractal behavior, quantum probability, efficiency, chaos, correlation, momentum/trend, and volume flow). This approach helps traders understand the market's dynamics from multiple angles, offering deeper insights than any single indicator.
9. Color Coding Based on Signal Extremes
Concept: The color of the final signal plot dynamically reflects whether the market is in an extreme state.
Implementation: The signal color is determined using percentiles. If the Final Signal is in the top 55th percentile of its range, the signal is green (bullish). If it is between the 45th and 55th percentiles, it is orange (neutral). If it falls below the 45th percentile, it is red (bearish).
Practical Use: This visual representation helps traders quickly identify the strength of the signal. Bullish conditions (green), neutral conditions (orange), and bearish conditions (red) are clearly distinguished, simplifying decision-making.
Combined IndicatorSummary
This custom Pine Script combines three main indicators into one, each with its own functionalities and visual cues. It provides a comprehensive approach to trend analysis by integrating short-term, medium-term, and long-term indicators. Each part of the indicator can be toggled on or off independently to suit the trader’s needs.
Part 1: EMA 14 and EMA 200
Purpose: This part of the indicator is designed to identify short-term and long-term trends using Exponential Moving Averages (EMA). It helps traders spot potential entry and exit points based on the relationship between short-term and long-term moving averages.
Visuals:
• EMA 14: Plotted in blue (#2962ff)
• EMA 200: Plotted in red (#f23645)
Signals:
• Long Signal: Generated when EMA 14 crosses above EMA 200, indicating a potential upward trend.
• Short Signal: Generated when EMA 14 crosses below EMA 200, indicating a potential downward trend.
Usage: Toggle this part on or off using the checkbox input to focus on short-term vs. long-term trends.
Part 2: EMA 9 and SMA 20
Purpose: This part combines Exponential and Simple Moving Averages to provide a medium-term trend analysis. It helps smooth out price data and identify potential trend reversals and continuation patterns.
Visuals:
• EMA 9: Plotted in green
• SMA 20: Plotted in dark red
Usage: Toggle this part on or off using the checkbox input to focus on medium-term trends and price smoothing.
Part 3: Golden Cross and Death Cross
Purpose: This part identifies long-term bullish and bearish market conditions using the 50-day and 200-day Simple Moving Averages (SMA). It highlights major trend changes that can inform long-term investment decisions.
Visuals:
• 50-day SMA: Plotted in gold (#ffe600)
• 200-day SMA: Plotted in black
Signals:
• Golden Cross: Generated when the 50-day SMA crosses above the 200-day SMA, indicating a potential long-term upward trend.
• Death Cross: Generated when the 50-day SMA crosses below the 200-day SMA, indicating a potential long-term downward trend.
Usage: Toggle this part on or off using the checkbox input to focus on long-term trend changes.
How to Use
1. Enable/Disable Indicators: Use the checkboxes provided in the input settings to enable or disable each part of the indicator according to your analysis needs.
2. Interpret Signals: Look for crossover events to determine potential entry and exit points based on the relationship between the moving averages.
3. Visual Confirmation: Use the color-coded lines and shape markers on the chart to visually confirm signals and trends.
4. Customize Settings: Adjust the lengths of the EMAs and SMAs in the input settings to suit your trading strategy and the specific asset you are analyzing.
Practical Application
• Short-Term Trading: Use the EMA 14 and EMA 200 signals to identify quick trend changes.
• Medium-Term Trading: Use the EMA 9 and SMA 20 to capture medium-term trends and reversals.
• Long-Term Investing: Monitor the Golden Cross and Death Cross signals to make decisions based on long-term trend changes.
Example of Unique Features
• Integrated Toggle System: Allows users to enable or disable specific parts of the indicator to customize their analysis.
• Multi-Tier Trend Analysis: Combines short-term, medium-term, and long-term indicators to provide a comprehensive view of the market.
Multiple Indicators Screener v2After taking the approval of Mr. QuantNomad
Multiple Indicators Screener by QuantNomad
New lists have been modified and added
Built-in indicators:
RSI (Relative Strength Index): Provides trading opportunities based on overbought or oversold market conditions.
MFI (Cash Flow Index): Measures the flow of cash into or from assets, which helps in identifying buying and selling areas.
Williams Percent Range (WPR): Measures how high or low the price has been in the last time period, giving signals of periods of saturation.
Supertrend: Used to determine market direction and potential entry and exit locations.
Volume Change Percentage: Provides an analysis of the volume change percentage, which helps in identifying demand and supply changes for assets.
How to use:
Users can choose which symbols they want to monitor and analyze using a variety of built-in indicators.
The indicator provides visual signals that help traders identify potential trading opportunities based on the selected settings.
RSI in purple = buy weak liquidity (safe entry).
MFI in yellow = Liquidity
WPR in blue = RSI, MFI and WPR in oversold areas for all.
Allows users to customize the display locations and appearance of the cursor to their personal preferences.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
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فاحص لمؤشرات متعددة مع مخرجات جدول شاملة لتسهيل مراقبة الكثير من العملات تصل الى 99 في وقت واحد
بختصر الشرح
ظهور اللون البنفسجي يعني كمية الشراء ضعف السيولة .
ظهور اللون الازرق جميع المؤشرات وصلة الى مرحلة التشبع البيعي ( دخول آمن )
ظهور اللون الاصفر يعني السيولة ضعفين الشراء ( عكس اتجاه قريب ) == ركزو على هاللون خصوصا مع عملات الخفيفة
No Code SignalsNo Code Signals is an intuitive user interface for users to generate their own signals based on indicators they already have applied to their chart.
This indicator makes use of the new input.source() limits for importing data from external sources (indicators) into 1 indicator.
You are now able to import ANY number of sources from up to 10 different indicators.
Features:
- Import up to 10 unique values from up to 10 different indicators already on your chart!
- Compare those values against other imported indicator values, or chart ohlc values.
- Option to use a defined level instead of an active source.
- 5 Signal Options (Currently)
- Alerts, Each signal has its own alert condition.
- Labeled Signals, to tell which signal is which.
Potential Future Plans:
- More Signals & Analysis Options
- Possibly more imports
- Combining 2 (or more) signals into 1
Here is a Screenshot of a chart with signals, and the Interface creating the signals.
Enjoy!
Weighted Moving Average Indicator (WMAI) 50/100/200 SMA + 21 EMAThe Weighted Moving Average Indicator (WMAI) is a custom technical analysis tool that combines the information from three Simple Moving Averages (SMA) and one Exponential Moving Average (EMA) to create a single line on the chart. This line can be used to identify trends, potential entry and exit points, and overall market direction. Here's how to use this indicator:
Identifying trends: When the WMAI line is moving upwards, it signals a bullish trend, meaning that the asset's price is generally increasing. Conversely, when the WMAI line is moving downwards, it signals a bearish trend, indicating that the asset's price is generally decreasing. A flat WMAI line suggests a sideways or consolidating market.
Potential entry and exit points: You can use the WMAI line in combination with the asset's price or other technical indicators to identify potential entry and exit points for trades. For example, when the price crosses above the WMAI line, it might be considered a buy signal, as it suggests a potential upward trend. Conversely, when the price crosses below the WMAI line, it might be considered a sell signal, indicating a potential downward trend. Keep in mind that, like any other indicator, WMAI is not foolproof and should be used in conjunction with other technical analysis tools and techniques to increase the chances of successful trades.
Support and resistance levels: The WMAI line can act as a dynamic support and resistance level. When the price is above the WMAI line, the line can act as a support level, making it less likely for the price to drop below the line. Conversely, when the price is below the WMAI line, it can act as a resistance level, making it harder for the price to rise above the line.
Confirming signals from other indicators: You can use the WMAI line to confirm signals from other technical analysis tools. For instance, if you use a momentum oscillator like the Relative Strength Index (RSI) to identify overbought or oversold conditions, you can look for confluence with the WMAI line. If the WMAI line is also pointing in the same direction as the RSI signal, it can add confidence to the trade.
Template Signal IndicatorThis script is an example on how to create a custom indicator that produce start/end long/short deal signals based on configurable conditions from internal and external indicators.
This indicator can be used as an external indicator to other strategies like "Template Trailing Strategy" that will execute the deals and enter the desired positions based on the signals produced by this script.
Combining this script with the aforementioned strategy (or any other compatible) has the advantage that you can backrest the results of your custom deal conditions. Also additional functionality that is provided by the strategy can be utilized (e.g. Take Profit Targets, Trailing Stop Loss etc.).
In this particular example I combined the RSI and Stoch RSI indicators (internal) with the "Trend Explorer" indicator (external) so it produces buy and sell signals based on the logic I defined in the input tab of this indicator. To combine "indicators on indicators" you need Pro+ TV subscription.
The convention I use to communicate the signals is the following (2 -> enter long, 1 -> exit long, -2 -> enter short, -1 ->exit short). However, this convention is also configurable in the consumer/strategy script "Template Trailing Strategy" so make sure that both script "speak the same language" before procced.
Level Founder indicatorQuesto strumento, ideato per l'individuazione dei livelli orizzontali sensibili si prepone l'obiettivo di semplificare la lettura tecnica dei grafici. Alla base di questo indicatore c'è il concetto di volatilità, inteso come scontro tra domanda ed offerta, come escursione delle forze nel campo di battaglia fino alla determinazione del prezzo finale di ogni candela. Di fatto, andando a cogliere quella che è la volatilità candela per candela, l'indicatore la calcola in termini assoluti rendendola un numericamente comparabile, in un range tra 0 e 100. Quando questo valore tocca i 100 si genera un picco di volatilità, il quale va ad identificare un punto di attenzione sul grafico di uno strumento. In corrispondenza di questi picchi si osserva dove la battaglia tra compratori e venditori si è conclusa, ovvero dove domanda ed offerta si sono incontrati per definire un prezzo: la chiusura di candela. In corrispondenza di tale prezzo si ha, quindi, un accordo certo tra domanda ed offerta dopo un periodo di contrattazione volatile, andando a certificare quello che è un livello di prezzo "sudato" per un determinato sottostante. Tale soglia si traduce in un livello orizzontale sensibile, che in futuro (avendo il mercato memoria degli scontri passati) potrà comportarsi da supporto o da resistenza, a seconda della situazione. In breve quindi, si traccia una linea orizzontale in corrispondenza delle chiusure di candela che condividono un picco sull'indicatore "Level Founder Indicator". Funziona su ogni time-frame e sottostante.
N.B. A ridosso di questi livelli si possono cercare pattern per l'operatività oppure cercare delle rotture di questi livelli per delle conferme/inversioni, spaziando dal trading intraday all'investimento di lungo periodo.
ENGLISH VERSION:
This tool, designed to identify sensitive horizontal levels, aims to simplify the technical reading of charts. This indicator is based on the concept of volatility, understood as the clash between supply and demand, the oscillation of forces on the battlefield until the final price of each candlestick is determined. By capturing the volatility candlestick by candlestick, the indicator calculates it in absolute terms, making it numerically comparable, within a range between 0 and 100. When this value reaches 100, a volatility spike is generated, which identifies a point of focus on an instrument's chart. At these peaks, we observe where the battle between buyers and sellers has concluded, that is, where supply and demand have met to define a price: the candlestick's close. At this price, therefore, a definite agreement between supply and demand occurs after a period of volatile trading, certifying what is a "hard-earned" price level for a given underlying asset. This threshold translates into a sensitive horizontal level, which in the future (given the market's memory of past clashes) could act as support or resistance, depending on the situation. In short, a horizontal line is drawn at the candlestick closes that share a peak on the "Level Founder Indicator." It works on any timeframe and underlying asset.
N.B.: Near these levels, you can look for trading patterns or look for breakouts of these levels for confirmations/reversals, ranging from intraday trading to long-term investing.
Stock ETF Tracker 2.0The Stock Sector ETF tracker with Indicators is a versatile tool designed to track the performance of sector-specific ETFs relative to the current asset. It automatically identifies the sector of the underlying symbol and displays the corresponding ETF’s price action alongside key technical indicators. This helps traders analyze sector trends and correlations in real time.
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Key Features
Automatic Sector Detection:
Fetches the sector of the current asset (e.g., "Technology" for AAPL).
Maps the sector to a user-defined ETF (default: SPDR sector ETFs) .
Technical Indicators:
Simple Moving Average (SMA): Tracks the ETF’s trend.
Bollinger Bands: Highlights volatility and potential reversals.
Donchian High (52-Week High): Identifies long-term resistance levels.
SPY Regime Filter: Red background color if SP500 is below 200 day SMA.
Customizable Inputs:
Adjust indicator parameters (length, visibility).
Override default ETFs for specific sectors.
Informative Table:
Displays the current sector and ETF symbol in the bottom-right corner.
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Input Settings
SMA Settings
SMA Length: Period for calculating the Simple Moving Average (default: 200).
Show SMA: Toggle visibility of the SMA line.
Bollinger Bands Settings
BB Length: Period for Bollinger Bands calculation (default: 20).
BB Multiplier: Standard deviation multiplier (default: 2.0).
Show Bollinger Bands: Toggle visibility of the bands.
Donchian High (52-Week High)
Daily High Length: Days used to calculate the high (default: 252, approx. 1 year).
Show High: Toggle visibility of the 52-week high line.
Sector Selections
Customize ETFs for each sector (e.g., replace XLU with another utilities ETF).
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Example Use Cases
Trend Analysis: Compare a stock’s price action to its sector ETF’s SMA for trend confirmation.
Volatility Signals: Use Bollinger Bands to spot ETF price squeezes or breakouts.
Sector Strength: Monitor if the ETF is approaching its 52-week high to gauge sector momentum.
Enjoy tracking sector trends with ease! 🚀
Stock Sector ETF with IndicatorsThe Stock Sector ETF with Indicators is a versatile tool designed to track the performance of sector-specific ETFs relative to the current asset. It automatically identifies the sector of the underlying symbol and displays the corresponding ETF’s price action alongside key technical indicators. This helps traders analyze sector trends and correlations in real time.
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Key Features
Automatic Sector Detection:
Fetches the sector of the current asset (e.g., "Technology" for AAPL).
Maps the sector to a user-defined ETF (default: SPDR sector ETFs) .
Technical Indicators:
Simple Moving Average (SMA): Tracks the ETF’s trend.
Bollinger Bands: Highlights volatility and potential reversals.
Donchian High (52-Week High): Identifies long-term resistance levels.
Customizable Inputs:
Adjust indicator parameters (length, visibility).
Override default ETFs for specific sectors.
Informative Table:
Displays the current sector and ETF symbol in the bottom-right corner.
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Input Settings
SMA Settings
SMA Length: Period for calculating the Simple Moving Average (default: 200).
Show SMA: Toggle visibility of the SMA line.
Bollinger Bands Settings
BB Length: Period for Bollinger Bands calculation (default: 20).
BB Multiplier: Standard deviation multiplier (default: 2.0).
Show Bollinger Bands: Toggle visibility of the bands.
Donchian High (52-Week High)
Daily High Length: Days used to calculate the high (default: 252, approx. 1 year).
Show High: Toggle visibility of the 52-week high line.
Sector Selections
Customize ETFs for each sector (e.g., replace XLU with another utilities ETF).
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Example Use Cases
Trend Analysis: Compare a stock’s price action to its sector ETF’s SMA for trend confirmation.
Volatility Signals: Use Bollinger Bands to spot ETF price squeezes or breakouts.
Sector Strength: Monitor if the ETF is approaching its 52-week high to gauge sector momentum.
Enjoy tracking sector trends with ease! 🚀
AI indicatorThis script is a trading indicator designed for future trading signals on the TradingView platform. It uses a combination of the Relative Strength Index (RSI) and a Simple Moving Average (SMA) to generate buy and sell signals. Here's a breakdown of its components and logic:
1. Inputs
The script includes configurable inputs to make it adaptable for different market conditions:
RSI Length: Determines the number of periods for calculating RSI. Default is 14.
RSI Overbought Level: Signals when RSI is above this level (default 70), indicating potential overbought conditions.
RSI Oversold Level: Signals when RSI is below this level (default 30), indicating potential oversold conditions.
Moving Average Length: Defines the SMA length used to confirm price trends (default 50).
2. Indicators Used
RSI (Relative Strength Index):
Measures the speed and change of price movements.
A value above 70 typically indicates overbought conditions.
A value below 30 typically indicates oversold conditions.
SMA (Simple Moving Average):
Used to smooth price data and identify trends.
Price above the SMA suggests an uptrend, while price below suggests a downtrend.
3. Buy and Sell Signal Logic
Buy Condition:
The RSI value is below the oversold level (e.g., 30), indicating the market might be undervalued.
The current price is above the SMA, confirming an uptrend.
Sell Condition:
The RSI value is above the overbought level (e.g., 70), indicating the market might be overvalued.
The current price is below the SMA, confirming a downtrend.
These conditions ensure that trades align with market trends, reducing false signals.
4. Visual Features
Buy Signals: Displayed as green labels (plotshape) below the price bars when the buy condition is met.
Sell Signals: Displayed as red labels (plotshape) above the price bars when the sell condition is met.
Moving Average Line: A blue line (plot) added to the chart to visualize the SMA trend.
5. How It Works
When the buy condition is true (RSI < 30 and price > SMA), a green label appears below the corresponding price bar.
When the sell condition is true (RSI > 70 and price < SMA), a red label appears above the corresponding price bar.
The blue SMA line helps to visualize the overall trend and acts as confirmation for signals.
6. Advantages
Combines Momentum and Trend Analysis:
RSI identifies overbought/oversold conditions.
SMA confirms whether the market is trending up or down.
Simple Yet Effective:
Reduces noise by using well-established indicators.
Easy to interpret for beginners and experienced traders alike.
Customizable:
Parameters like RSI length, oversold/overbought levels, and SMA length can be adjusted to fit different assets or timeframes.
7. Limitations
Lagging Indicator: SMA is a lagging indicator, so it may not capture rapid market reversals quickly.
Not Foolproof: No trading indicator can guarantee 100% accuracy. False signals can occur in choppy or sideways markets.
Needs Volume Confirmation: The script does not consider trading volume, which could enhance signal reliability.
8. How to Use It
Copy the script into TradingView's Pine Editor.
Save and add it to your chart.
Adjust the RSI and SMA parameters to suit your preferred asset and timeframe.
Look for buy signals (green labels) in uptrends and sell signals (red labels) in downtrends.
Strength of Divergence Across Multiple IndicatorsOverview:
One-stop shop for all your divergence needs, including:
(1) A single metric for divergence strength across multiple indicators.
(2) Labels that make it easy to spot where the truly strong divergence is by showing the overall divergence strength value along with the number of divergent indicators. Hovering over the label shows a breakdown of each divergent indicator and its individual divergence strength value.
(3) Fully customizable, including inputs for pivot lengths, divergence types, and weights for every component of the divergence strength calculation. This allows you to quickly and easily optimize the output for any chart. Don't worry, the default settings will have you covered if you're not interested in what's going on under the hood.
The Divergence Strength Calculation:
The total divergence strength value is the sum of the divergence strengths of all indicators for which divergence was detected at a given bar. Each indicator's individual divergence strength is comprised of two basic components: (1) |ΔPrice| - the magnitude of the change in price over the divergence period (pivot-to-pivot), and (2) |ΔIndicator| - the magnitude of the change in indicator value over the divergence period.
Because different indicators' scales and volatility can vary greatly, the Δ values are expressed in terms of standard deviation to ensure that the values are meaningful and equitable across all indicators and assets/instruments/currency pairs, etc:
|ΔIndicator| = |indicator_value_1 - indicator_value_2| / 2 * StDev(indicator_series,100)
Calculation Weights:
All components of the calculation are weighted and can be modified on the Inputs page in settings (weights are simply multipliers). For example, if you think hidden divergence should carry less weight than regular divergence, you can assign it a lesser weight. Or if you think RSI divergence is worth more than OBV divergence, you can adjust their weights accordingly. List of weights:
Regular divergence weight - default = 1
Hidden divergence weight - default = 1
ΔPrice weight - default = 0.5 (multiplied by the ΔPrice component)
ΔIndicator weight - default = 1.5 (multiplied by the ΔIndicator component)
RSI weight - default = 1.1
OBV weight - default = 0.8
MACD weight - default = 0.9
STOCH weight - default = 0.9
Development for additional indicators is ongoing, as is research into the optimal weight configuration(s).
Other Inputs:
Pivot lengths - specify the number of bars before and after each pivot high/low to consider it a valid candidate for divergence.
Lookback bars and Lookback pivots - specify the number of bars or the number of pivots to look back across.
Price sources - specify separate price sources for bullish and bearish divergence
Display settings - specify how lines and labels should display, including which divergence strength values should show the largest labels. Include/exclude specific divergence types and indicators.
Please report any bugs, or let me know if you have any enhancement suggestions or requests for additional indicators.
@reees
Multi-Indicator by johntradingwickThe Multi-Indicator includes the functionality of the following indicators:
1. Market Structure
2. Support and Resistance
3. VWAP
4. Simple Moving Average
5. Exponential Moving Average
Functionality of the Multi-Indicator:
Market Structure
As we already know, the market structure is one of the most important things in trading. If we are able to identify the trend correctly, it takes away a huge burden. For this, I have used the Zig Zag indicator to identify price trends. It plots points on the chart whenever the prices reverse by a larger percentage than a predetermined variable. The points are then connected by straight lines that will help you to identify the swing high and low.
This will help you to filter out any small price movements, making it easier to identify the trend, its direction, and its strength levels. You can change the period in consideration and the deviation by changing the deviation % and the depth.
Support and Resistance
The indicator provides the functionality to add support and resistance levels. If you want more levels just change the timeframe it looks at in the settings. It will pull the SR levels off the timeframe specified in the settings.
You can select the timeframe for support and resistance levels. The default time frame is “same as the chart”.
You can also extend lines to the right and change the width and colour of the lines. There is also an option to change the criteria to select the lines as valid support or resistance. You can extend the S/R level or use the horizontal lines to mark the level when there is a change in polarity.
VWAP
Volume Weighted Average Price (VWAP) is used to measure the average price weighted by volume. VWAP is typically used with intraday charts as a way to determine the general direction of intraday prices. It's similar to a moving average in that when the price is above VWAP, prices are rising and when the price is below VWAP, prices are falling. VWAP is primarily used by technical analysts to identify market trend.
Simple Moving Average
A simple Moving Average is an unweighted Moving Average. This means that each day in the data set has equal importance and is weighted equally. As each new day ends, the oldest data point is dropped and the newest one is added to the beginning.
The multi-indicator has the ability to provide 5 moving averages. This is particularly helpful if you want to use various time periods such as 20, 50, 100, and 200. Although this is just basic functionality, it comes in handy if you are using a free account.
Exponential Moving Average
An exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average. The multi-indicator provides 5 exponential moving averages. This is particularly helpful if you want to use various time periods such as 20, 50, 100, and 200.
