EMA 21 & 78 - With Instrument Nameonly add EMA21 and 78, I saw the 21 and 78 period is the most favor period when trading with gold
Hareketli Ortalamalar
Triple Tap Sniper Triple Tap Sniper v3 – EMA Retest Precision System
Triple Tap Sniper is a precision trading tool built around the 21, 34, and 55 EMAs, designed to capture high-probability retests after EMA crosses. Instead of chasing the first breakout candle, the system waits for the first pullback into the EMA21 after a trend-confirming cross — the spot where professional traders often enter.
🔑 Core Logic
EMA Alignment → Trend defined by EMA21 > EMA34 > EMA55 (bullish) or EMA21 < EMA34 < EMA55 (bearish).
Cross Detection → Signals are only armed after a fresh EMA cross.
Retest Entry → Buy/Sell signals fire only on the first retest of EMA21, with trend still intact.
Pro Filters →
📊 Higher Timeframe Confirmation: Aligns signals with larger trend.
📈 ATR Volatility Filter: Blocks weak signals in low-vol chop.
📏 EMA Spread Filter: Ignores tiny “fake crosses.”
🕯️ Price Action Filter: Requires a proper wick rejection for valid entries.
🚀 Why Use Triple Tap Sniper?
✅ Filters out most false signals from sideways markets.
✅ Focuses only on clean trend continuations after pullbacks.
✅ Beginner-friendly visuals (Buy/Sell labels) + alert-ready for automation.
✅ Flexible: works across multiple timeframes & asset classes (stocks, crypto, forex).
⚠️ Notes
This is a signal indicator, not a full strategy. For backtesting and optimization, convert to a strategy and adjust filters per market/timeframe.
No indicator guarantees profits — use with sound risk management.
MA Median Crossover | MisinkoMasterThe MA Median Crossover is a new trend analysis tool designed to help traders catch trends with less noisy, more accuracy and speed.
While simple, this effective indicator can improve your strategy more than you might think.
How does it work?
1. Get user defined input
=> set up your indicator to your likings, and make it capture what you want it to
2. Calculate the Moving Average and Median Base
=> this is the foundation of the indicator
3. Smooth the median
=> less noise, more accuracy, just like that!
4. Compare the MA to the smoothed Median
=> If the MA > smoothed Median, it signals an uptrend, if the MA < smoothed Median,
it signals a downtrend.
Yep, that is how simple it is.
Final note:
Changing the MA type is very influencial, so watch out when changing them.
Enjoy G´s!
MA Availability ETA (SMA100/EMA200)This tool helps traders understand when long-term moving averages become available on any chosen timeframe.
Many new symbols, pairs, or timeframes don’t have enough price history to immediately plot long moving averages like SMA(100) and EMA(200). This script calculates and displays:
✅ Bars Remaining – how many bars are still needed before each moving average can be plotted reliably.
✅ ETA Duration – an estimate of how long (in chart time units) it will take until each MA is available.
✅ Status Table & Label – compact visual summary on the chart and in a table at the top-right corner.
✅ Vertical Marker – a dotted line showing exactly where both SMA(100) & EMA(200) first appear together.
✅ Alerts – optional alerts notify you the moment SMA(100) or EMA(200) become available.
🔑 Features
Works on any timeframe and instrument.
Highlights SMA(100) and EMA(200) on the chart for reference.
Lets you choose whether EMA(200) should be considered ready immediately, or only after a full 200-bar history.
Useful for traders who rely on long-term MA signals (golden cross, dynamic support/resistance, trend confirmation) and want to know when these tools will be ready on fresh charts.
🎯 Use Cases
New listings / low-history assets → See when SMA100 & EMA200 become usable.
Backtesting or forward-testing → Anticipate when long-term signals will first appear.
Trend-following strategies → Prepare in advance for crossovers or key support/resistance confluence zones.
⚠️ Note: ETAs are based on chart resolution and assume continuous data; real-world session gaps, weekends, or illiquid trading can make availability slightly later.
👉 Add this to your chart and you’ll always know when the big moving averages arrive — a critical moment for many upside moves and long-term strategies.
Mean-Reversion Indicator_V2_SamleeOverview
This is the second version of my mean reversion indicator. It combines a moving average with adaptive standard deviation bands to detect when the price deviates significantly from its mean. The script provides automatic entry/exit signals, real-time PnL tracking, and shaded trade zones to make mean reversion trading more intuitive.
Core Logic
Mean benchmark: Simple Moving Average (MA).
Volatility bands: Standard deviation of the spread (close − MA) defines upper and lower bands.
Trading rules:
Price breaks below the lower band → Enter Long
Price breaks above the upper band → Enter Short
Price reverts to MA → Exit position
What’s different vs. classic Bollinger/Keltner
Bandwidth is based on the standard deviation of the price–MA spread, not raw closing prices.
Entry signals use previous-bar confirmation to reduce intrabar noise.
Exit rule is a mean-touch condition, rather than fixed profit/loss targets.
Enhanced visualization:
A shaded box dynamically shows the distance between entry and current/exit price, making it easy to see profit/loss zones over the holding period.
Instant PnL labels display current position side (Long/Short/Flat) and live profit/loss in both pips and %.
Entry and exit points are clearly marked on the chart with labels and exact prices.
These visualization tools go beyond what most indicators provide, giving traders a clearer, more practical view of trade evolution.
Key Features
Automatic detection of position status (Long / Short / Flat).
Chart labels for entries (“Entry”) and exits (“Exit”).
Real-time floating PnL calculation in both pips and %.
Info panel (top-right) showing entry price, current price, position side, and PnL.
Dynamic shading between entry and current/exit price to visualize profit/loss zones.
Usage Notes & Risk
Mean reversion may underperform in strong trending markets; parameters (len_ma, len_std, mult) should be validated per instrument and timeframe.
Works best on relatively stable, mean-reverting pairs (e.g., AUDNZD).
Risk management is essential: use independent stop-loss rules (e.g., limit risk to 1–2% of equity per trade).
This script is provided for educational purposes only and is not financial advice.
VWMA CandlesVWMA Candles – Smarter Candle Coloring with Volume Awareness
This indicator enhances your chart candles by showing their relationship to the Volume-Weighted Moving Average (VWMA). It visually integrates the VWMA and price action, making it easier to spot momentum shifts, value zones, and price interaction with volume-weighted levels. I saw this indicator idea from TrendSpider on threads and decided to try and make my own. This is my first publicly shared script so go easy on me!
IN ORDER FOR THE COLOR CODING TO WORK PROPERLY, YOU MUST:
GO TO -> CHART SETTINGS -> SYMBOLS AND DISABLE BODIES, BORDERS, AND WICKS.
How it works:
The VWMA is plotted on your chart with a customizable band around it.
Candles change color depending on their position relative to the VWMA and its band:
Green → Price is above the VWMA (bullish bias).
Orange → Price is near or touching the VWMA/band (potential reaction zone).
Red → Price is below the VWMA (bearish bias).
You can choose between custom candles (full plotcandle styling) or simply recolor your existing chart candles with barcolor.
Customization options:
Select how the band is calculated: by % of VWMA, ATR multiple, or Ticks/Points.
Adjust colors separately for candle body, wick, and border.
Choose to show/hide the VWMA line and the band fill.
Fine-tune transparency for a clean look on any chart background.
Why traders use it:
Quickly spot when price is stretched away from the VWMA (overextended conditions).
Identify when candles are interacting with the VWMA (potential support/resistance).
Add volume-sensitivity to your trend analysis compared to standard moving averages.
Authors Note: The default settings work well with stocks on the weekly timeframe, although this can be used on any timeframe. The settings are highly adjustable for you to tune it to your liking.
EMA/VWAP SuiteEMA/VWAP Suite
Overview
The EMA/VWAP Suite is a versatile and customizable Pine Script indicator designed for traders who want to combine Exponential Moving Averages (EMAs) and Volume Weighted Average Prices (VWAPs) in a single, powerful tool. It overlays up to eight EMAs and six VWAPs (three anchored, three rolling) on the chart, each with percentage difference labels to show how far the current price is from these key levels. This indicator is perfect for technical analysis, supporting strategies like trend following, mean reversion, and VWAP-based trading.
By default, the indicator displays eight EMAs and a session-anchored VWAP (AVWAP 1, in fuchsia) with their respective percentage difference labels, keeping the chart clean yet informative. Other VWAPs and their bands are disabled by default but can be enabled and customized as needed. The suite is designed to minimize clutter while providing maximum flexibility for traders.
Features
- Eight Customizable EMAs: Plot up to eight EMAs with user-defined lengths (default: 3, 9, 19, 38, 50, 65, 100, 200), each with a unique color for easy identification.
- EMA Percentage Difference Labels: Show the percentage difference between the current price and each EMA, displayed only for visible EMAs when enabled.
- Three Anchored VWAPs: Plot VWAPs anchored to the start of a session, week, or month, with customizable source, offset, and band multipliers. AVWAP 1 (session-anchored, fuchsia) is enabled by default.
- Three Rolling VWAPs: Plot VWAPs calculated over fixed periods (default: 20, 50, 100), with customizable source, offset, and band multipliers.
- VWAP Bands: Optional upper and lower bands for each VWAP, based on standard deviation with user-defined multipliers.
- VWAP Percentage Difference Labels: Display the percentage difference between the current price and each VWAP, shown only for visible VWAPs. Enabled by default to show the AVWAP 1 label.
- Customizable Colors: Each VWAP has a user-defined color via input settings, with labels matching the VWAP line colors (e.g., AVWAP 1 defaults to fuchsia).
Flexible Display Options: Toggle individual EMAs, VWAPs, bands, and labels on or off to reduce chart clutter.
Settings
The indicator is organized into intuitive setting groups:
EMA Settings
Show EMA 1–8 : Toggle each EMA on or off (default: all enabled).
EMA 1–8 Length : Set the period for each EMA (default: 3, 9, 19, 38, 50, 65, 100, 200).
Show EMA % Difference Labels : Enable/disable percentage difference labels for all EMAs (default: enabled).
EMA Label Font Size (8–20) : Adjust the font size for EMA labels (default: 10, mapped to “tiny”).
Anchored VWAP 1–3 Settings
Show AVWAP 1–3 : Toggle each anchored VWAP on or off (default: AVWAP 1 enabled, others disabled).
AVWAP 1–3 Color : Set the color for each VWAP line and its label (default: fuchsia for AVWAP 1, purple for AVWAP 2, teal for AVWAP 3).
AVWAP 1–3 Anchor : Choose the anchor period (“Session,” “Week,” “Month”; default: Session for AVWAP 1, Week for AVWAP 2, Month for AVWAP 3).
AVWAP 1–3 Source : Select the price source (default: hlc3).
AVWAP 1–3 Offset : Set the horizontal offset for the VWAP line (default: 0).
Show AVWAP 1–3 Bands : Toggle upper/lower bands (default: disabled).
AVWAP 1–3 Band Multiplier : Adjust the standard deviation multiplier for bands (default: 1.0).
Rolling VWAP 1–3 Settings
Show RVWAP 1–3 : Toggle each rolling VWAP on or off (default: disabled).
RVWAP 1–3 Color : Set the color for each VWAP line and its label (default: navy for RVWAP 1, maroon for RVWAP 2, fuchsia for RVWAP 3).
RVWAP 1–3 Period Length : Set the period for the rolling VWAP (default: 20, 50, 100).
RVWAP 1–3 Source : Select the price source (default: hlc3).
RVWAP 1–3 Offset : Set the horizontal offset (default: 0).
Show RVWAP 1–3 Bands : Toggle upper/lower bands (default: disabled).
RVWAP 1–3 Band Multiplier : Adjust the standard deviation multiplier for bands (default: 1.0).
VWAP Label Settings
Show VWAP % Difference Labels : Enable/disable percentage difference labels for all VWAPs (default: enabled, showing AVWAP 1 label).
VWAP Label Font Size (8–20) : Adjust the font size for VWAP labels (default: 10, mapped to “tiny”).
How It Works
EMAs : Calculated using ta.ema(close, length) for each user-defined period. Percentage differences are computed as ((close - ema) / close) * 100 and displayed as labels for visible EMAs when show_ema_labels is enabled.
Anchored VWAPs : Calculated using ta.vwap(source, anchor, 1), where the anchor is determined by the selected timeframe (Session, Week, or Month). Bands are computed using the standard deviation from ta.vwap.
Rolling VWAPs : Calculated using ta.vwap(source, length), with bands based on ta.stdev(source, length).
Labels : Updated on each new bar (ta.barssince(ta.change(time) != 0) == 0) to show percentage differences. Labels are only displayed for visible EMAs/VWAPs to avoid clutter.
Color Matching: VWAP labels use the same color as their corresponding VWAP lines, set via input settings (e.g., avwap1_color for AVWAP 1).
Example Use Cases
- Trend Following: Use longer EMAs (e.g., 100, 200) to identify trends and shorter EMAs (e.g., 3, 9) for entry/exit signals.
- Mean Reversion: Monitor percentage difference labels to spot overbought/oversold conditions relative to EMAs or VWAPs.
- VWAP Trading: Use the default session-anchored AVWAP 1 for intraday trading, adding weekly/monthly VWAPs or rolling VWAPs for broader context.
- Intraday Analysis: Leverage the session-anchored AVWAP 1 (enabled by default) for day trading, with bands as support/resistance zones.
PulseMA Oscillator Normalized v2█ OVERVIEW
PulseMA Oscillator Normalized v2 is a technical indicator designed for the TradingView platform, assisting traders in identifying potential trend reversal points based on price dynamics derived from moving averages. The indicator is normalized for easier interpretation across various market conditions, and its visual presentation with gradients and signals facilitates quick decision-making.
█ CONCEPTS
The core idea of the indicator is to analyze trend dynamics by calculating an oscillator based on a moving average (EMA), which is then normalized and smoothed. It provides insights into trend strength, overbought/oversold levels, and reversal signals, enhanced by gradient visualizations.
Why use it?
Identifying reversal points: The indicator detects overbought and oversold levels, generating buy/sell signals at their crossovers.
Price dynamics analysis: Based on moving averages, it measures how long the price stays above or below the EMA, incorporating trend slope.
Visual clarity: Gradients, fills, and colored lines enable quick chart analysis.
Flexibility: Configurable parameters, such as moving average lengths or normalization period, allow adaptation to various strategies and markets.
How it works?
Trend detection: Calculates a base exponential moving average (EMA with PulseMA Length) and measures how long the price stays above or below it, multiplied by the slope for the oscillator.
Normalization: The oscillator is normalized based on the minimum and maximum values over a lookback period (default 150 bars), scaling it to a range from -100 to 100: (oscillator - min) / (max - min) * 200 - 100. This ensures values are comparable across different instruments and timeframes.
Smoothing: The main line (PulseMA) is the normalized oscillator (oscillatorNorm). The PulseMA MA line is a smoothed version of PulseMA, calculated using an SMA with the PulseMA MA length. As PulseMA MA is smoothed, it reacts more slowly and can be used as a noise filter.
Signals: Generates buy signals when crossing the oversold level upward and sell signals when crossing the overbought level downward. Signals are stronger when PulseMA MA is in the overbought or oversold zone (exceeding the respective thresholds for PulseMA MA).
Visualization: Draws lines with gradients for PulseMA and PulseMA MA, levels with gradients, gradient fill to the zero line, and signals as triangles.
Alerts: Built-in alerts for buy and sell signals.
Settings and customization
PulseMA Length: Length of the base EMA (default 20).
PulseMA MA: Length of the SMA for smoothing PulseMA MA (default 20).
Normalization Lookback Period: Normalization period (default 150, minimum 10).
Overbought/Oversold Levels: Levels for the main line (default 100/-100) and thresholds for PulseMA MA, indicating zones where PulseMA MA exceeds set values (default 50/-50).
Colors and gradients: Customize colors for lines, gradients, and levels; options to enable/disable gradients and fills.
Visualizations: Show PulseMA MA, gradients for overbought/oversold/zero levels, and fills.
█ OTHER SECTIONS
Usage examples
Trend analysis: Observe PulseMA above 0 for an uptrend or below 0 for a downtrend. Use different values for PulseMA Length and PulseMA MA to gain a clearer trend picture. PulseMA MA, being smoothed, reacts more slowly and can serve as a noise filter to confirm trend direction.
Reversal signals: Look for buy triangles when PulseMA crosses the oversold level, especially when PulseMA MA is in the oversold zone. Similarly, look for sell triangles when crossing the overbought level with PulseMA MA in the overbought zone. Such confirmation increases signal reliability.
Customization: Test different values for PulseMA Length and PulseMA MA on a given instrument and timeframe to minimize false signals and tailor the indicator to market specifics.
Notes for users
Combine with other tools, such as support/resistance levels or other oscillators, for greater accuracy.
Test different settings for PulseMA Length and PulseMA MA on the chosen instrument and timeframe to find optimal values.
MA Trends — mura visionMA Trends — mura vision is a multi-timeframe trend map that blends two local trend “ribbons” on the current timeframe with higher-timeframe context lines. It helps you read market bias at a glance and align entries with the dominant trend.
What the indicator plots
On the current timeframe
SMA 5/34 — short-term trend ribbon (filled area between SMA5 and SMA34).
EMA 55/89 — swing trend ribbon (filled area between EMA55 and EMA89).
Higher-timeframe context
EMA 233 (4H & 1D) — plotted as lines. Color reflects whether price on the same HTF is above (support) or below (resistance).
KAMA 233 (4H & 1D) — plotted as lines using a custom Kaufman implementation (Efficiency Ratio with fast=2, slow=30; squared smoothing). Color logic is the same as EMA 233.
Optional (disabled by default)
EMA 233 & KAMA 233 on the current TF — toggle on if you want the same 233 anchors on the chart’s timeframe.
Note: All higher-TF series are requested via request.security() with lookahead_off .
How to read it
1 Bias : Use the 4H/1D EMA/KAMA 233 as dynamic anchors.
• Green = price is above the anchor on that HTF (supportive context).
• Red = price is below the anchor on that HTF (resistive context).
2 Alignment : When both ribbons are green (SMA5>34 and EMA55>89) while HTF anchors are green, momentum and context agree (higher-quality trend). The opposite coloring suggests bearish alignment.
3 Pullbacks : Retracements toward the ribbon edges often act as retest zones within the prevailing regime.
Inputs & customization
Visibility toggles for each block:
SMA 5/34 (current TF), EMA 55/89 (current TF), EMA/KAMA 233 for 4H, 1D, and current TF (the latter are off by default).
Colors :
Lines for SMA5/SMA34 and EMA55/EMA89 (plotted with high transparency), fill colors for up/down trend ribbons, and separate support/resistance colors for EMA/KAMA 233.
Line width for all 233 anchors.
MTF behavior & repainting notes
HTF lines (4H/1D) are computed with lookahead_off and update intrabar until the higher-TF candle closes. This is expected on TradingView and not “future-looking”, but values can stabilize only at the close of the 4H/1D bar.
If you require strictly confirmed HTF values, use a “previous bar” approach (e.g., plotting series ) — not included here to keep the display responsive.
Good practices
Determine direction with 4H/1D EMA/KAMA 233, then refine timing with the current-TF ribbons.
For conservative use, favor trades with the color of the dominant HTF anchor.
Combine with your own risk management and confirmation rules.
What this script is / isn’t
✅ Visual analysis tool for multi-timeframe trend context.
❌ Not a strategy: it does not generate orders or calculate P&L.
Credits & license
© trading_mura — Published for educational purposes under the Mozilla Public License 2.0.
KAMA is implemented via a custom Kaufman method (ER with fast=2, slow=30, squared smoothing), not ta.kama() .
Disclaimer
Trading involves risk. This indicator is provided “as is” for informational/educational use only and is not financial advice. Always test on historical data and use proper risk management.
Dynamic 4 in 1Combined and made some modifications to the 4 existing indicators into 1 to save space. Credit to the original authors.
Indicator used
1. Pivot Point Standard by Tradingview (www.tradingview.com)
2. Colored EMA ()
3. ATH/TTL & 52WH/L with Candle Coloring by RV ()
4. HalfTrend ()
20W EMA & SMA (no minute-level timeframe)You can check the 20-week EMA and SMA across various timeframes, from 1 hour to 1 week. Minute-level timeframes are not available due to data limitations.
Luxy trend & Momentum Indicators Suit V2Luxy Trend & Momentum Indicator Suite V2
The Luxy Trend & Momentum Suite V2 is a multi-purpose technical analysis tool designed to help traders quickly identify high-probability trend-following and momentum-based entries across timeframes.
This tool combines the most battle-tested market filters (EMAs, VWAP, MACD, ZLSMA, Supertrend, UT Bot, Volume/ADX/RSI filters) into a unified signal framework — backed by an optional Bias Table that displays alignment across methods and timeframes.
BACKGROUND — ABOUT THIS METHOD
This Indicators Suite is based on momentum-trend alignment , a trading methodology that:
* Confirms trend structure using moving averages (EMA crossovers & price vs EMA-200),
* Validates trend strength using MACD separation, volume pressure, and ADX confirmation,
* Confirms timing using momentum oscillators (RSI pullbacks), VWAP positioning, and trend filters,
* Optionally delays entries using the UT Bot trailing confirmation or Supertrend .
It's a multi-layered filtering helps reduce false signals, especially in choppy conditions.
USAGE
This indicator is best suited for:
Intraday trend trading (scalping or day trading),
Swing trading based on HTF confirmation (1D/1W),
Combining bias + technical signal + volume + price context for cleaner entries.
It is especially powerful on assets with well-defined structure (e.g., crypto, indices, high-volume stocks).
Signal Labels
The script plots `LONG` (green) or `SHORT` (red) labels when all your configured filters align.
✅ To use these labels effectively:
Only take LONG signals when the bias table shows green ("BULLISH"),
Only take SHORT when the bias table shows red ("BEARISH"),
Avoid signals on NEUTRAL bias (gray), or consider smaller positions.
Bias Table Panel
The indicator features a compact Bias summary table , showing the current directional bias from:
Timeframe trends (1H, 4H, 1D)
Indicator states (EMA cross, EMA200, VWAP, MACD, ZLSMA, UT Bot, Supertrend)
Each cell is color-coded:
🟢 Green = Bullish
🔴 Red = Bearish
⚪ Gray = Neutral
Trend Filters
These are the primary trend components:
EMA Short vs Long : Fast/Slow structure
EMA-200 : Long-term bias
ZLSMA : Zero-lag regression slope
Supertrend : Dynamic trendline with noise-filtering
UT Bot : ATR-based trailing signal with optional filters (swing, %change, delay)
Momentum & Entry Filters
The indicator offers several modular filters to refine entry signals:
✅ MACD Separation : Requires a minimum spread between MACD and Signal line (adjustable in ATR units).
✅ VWAP Filter : Confirms that price is above/below anchored VWAP.
✅ RSI Pullback Zone : Only triggers signals when RSI is between configured pullback ranges.
✅ Volume Strength : Only confirms signals when current volume is above SMA × factor (e.g. 1.2×).
✅ ADX/DI Filter : Enforces trend strength requirements based on ADX, DI+ and DI-.
RECOMMENDED WORKFLOWS
🔹 Intraday Trend Trading
Primary TF: "1H"
Confirmation: "4H"
Bias method: EMA(20/50) or ZLSMA
Lookback: 5 bars
VWAP: Session anchor
UT Bot: Enabled with 1.3 sensitivity, ATR=10
🔹 Swing Trading
Primary TF: "1D"
Confirmation: "1W"
Bias method: EMA(20/50) or MACD
Lookback: 10–20
VWAP: Weekly or Monthly
UT Bot: Disabled or conservative (1.7 key, ATR=14)
🔹 Position Trading
Primary: "1W"
Confirmation: "1M"
Bias method: EMA(50/200)
Filters: Strong MACD + Volume + ADX
UT: Disabled
SETTINGS
You can customize:
All EMA lengths (short, long, very long)
MACD periods and buffer thresholds
VWAP anchor and bands mode (Std Dev or %)
ZLSMA length and offset
UT Bot sensitivity, ATR, and filters
Supertrend ATR logic and neutral bars
Volume, ADX, RSI, and Donchian breakouts
Table text size, position, and visibility
Each input includes tooltips with suggested ranges and explanations.
🔶 LIMITATIONS
This is an **indicator**, not a strategy. It does **not place orders**.
UT Bot and Bias alignment work better on assets with structure and volume.
Repainting is avoided by using bar close logic where possible.
Corporate-event VWAPs (Earnings, Dividends) depend on data availability.
Always backtest , adjust filters per asset, and confirm entries with price action and context.
📧 Feedback & improvement requests:
ZLEMA Trend Index 2.0ZTI — ZLEMA Trend Index 2.0 (0–1000)
Overview
Price Mapped ZTI v2.0 - Enhanced Zero-Lag Trend Index.
This indicator is a significant upgrade to the original ZTI v1.0, featuring enhanced resolution from 0-100 to 0-1000 levels for dramatically improved price action accuracy. The Price Mapped ZTI uses direct price-to-level mapping to eliminate statistical noise and provide true proportional representation of market movements.
Key Innovation: Instead of statistical normalization, this version maps current price position within a user-defined lookback period directly to the ZTI scale, ensuring perfect correlation with actual price movements. I believe this is the best way to capture trends instead of directly on the charts using a plethora of indicators which introduces bad signals resulting in drawdowns. The RSI-like ZTI overbought and oversold lines filter valid trends by slicing through the current trading zone. Unlike RSI that can introduce false signals, the ZTI levels 1 to 1000 is faithfully mapped to the lowest to highest price in the current trading zone (lookback period in days) which can be changed in the settings. The ZTI line will never go off the beyond the ZTI levels in case of extreme trend continuation as the trading zone is constantly updated to reflect only the most recent bars based on lookback days.
Core Features
✅ 10x Higher Resolution - 0-1000 scale provides granular movement detection
✅ Adjustable Trading Zone - Customizable lookback period from 1-50 days
✅ Price-Proportional Mapping - Direct correlation between price position and ZTI level
✅ Zero Statistical Lag - No rolling averages or standard deviation calculations
✅ Multi-Strategy Adaptability - Single parameter adjustment for different trading styles
Trading Zone Optimization
📊 Lookback Period Strategies
Short-term (1-3 days):
Ultra-responsive to recent price action
Perfect for scalping and day trading
Tight range produces more sensitive signals
Medium-term (7-14 days):
Balanced view of recent trading range
Ideal for swing trading
Captures meaningful support/resistance levels
Long-term (21-30 days):
Broader market context
Excellent for position trading
Smooths out short-term market noise
⚡ Market Condition Adaptation
Volatile Markets: Use shorter lookback (3-5 days) for tighter ranges
Trending Markets: Use longer lookback (14-21 days) for broader context
Ranging Markets: Use medium lookback (7-10 days) for clear boundaries
🎯 Timeframe Optimization
1-minute charts: 1-2 day lookback
5-minute charts: 2-5 day lookback
Hourly charts: 7-14 day lookback
Daily charts: 21-50 day lookback
Trading Applications
Scalping Setup (2-day lookback):
Super tight range for quick reversals
ZTI 800+ = immediate short opportunity
ZTI 200- = immediate long opportunity
Swing Trading Setup (10-day lookback):
Meaningful swing levels captured
ZTI extremes = high-probability reversal zones
More stable signals, reduced whipsaws
Advanced Usage
🔧 Real-Time Adaptability
Trending days: Increase to 14+ days for broader perspective
Range-bound days: Decrease to 3 days for tighter signals
High volatility: Shorter lookback for responsiveness
Low volatility: Longer lookback to avoid false signals
💡 Multi-Timeframe Approach
Entry signals: Use 7-day ZTI on main timeframe
Trend confirmation: Use 21-day ZTI on higher timeframe
Exit timing: Use 3-day ZTI for precise exits
🌐 Session Optimization
Asian session: Shorter lookback (3-5 days) for range-bound conditions
London/NY session: Longer lookback (7-14 days) for trending conditions
How It Works
The indicator maps the current price position within the specified lookback period directly to a 0-1000 scale and plots it using ZLEMA (Zero Lag Exponential Moving Average) which has the least lag of the available popular moving averages:
Price at recent high = ZTI at 1000
Price at recent low = ZTI at 1
Price at mid-range = ZTI at 500
This creates perfect proportional representation where every price movement translates directly to corresponding ZTI movement, eliminating the false signals common in traditional oscillators.
This single, versatile indicator adapts to any market condition, timeframe, or trading style through one simple parameter adjustment, making it an essential tool for traders at every level.
Credits
ZLEMA techniques widely attributed to John Ehlers.
Disclaimer
This tool is for educational purposes only and is not financial advice. Backtest and forward‑test before live use, and always manage risk.
Please note that I set this as closed source to prevent source code cloning by others, repackaging and republishing which results in multiple confusing choices of the same indicator.
Majoak - Multi-Timeframe SMA Viewer V2.0This Indicator will allow you to see different time frame SMA on the time frame you are on in order to help you spot support and resistance levels. Enjoy!!!
Anchorman - EMA Channel + EMA + MTF Status Table PRICE BREAKOUTUses a high/low EMA Channel to tell you when strong price breakouts are happening plus comes with a EMA to help follow the trend if you like. I designed it so it can alert you when a single TF touch happens or a breakout alignment on MTF happens (I recommend this) its up to you also its single alert so no need to do bullish or bearish signals just one signal will alert you when a breakout happens in EITHER direction.
All-In-One LinesIt's like a "torch in the darkness" that shows the "terrain" in which you are trading, and in which the candle movement unfolds.
It is meant to be used on 5m + 1D intervals. Additionally useful on 15m, 30m, and 1W if you use these.
Shows:
VWAP (on < 1D interval)
EMA 8 from 5m/15m/30m/1D/1W
Yesterday's High (on < 1D interval)
Yesterday's Low (on < 1D interval)
SMA 50/100/200
AVWAPE / AVWAPQ (if SPY) incl. +1/-1 Stdev for each
More infos: www.reddit.com
Customizable MA StrategiesOptional 3 MA Strategies in an indicator
6 MA Type "EMA", "SMA", "RMA", "VMA", "VWMA", "TEMA"
3 different periods
Student wyckoff rs symbol/market v.2 Relative Strength Indicator
Student wyckoff rs symbol/market v.2
Description
The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark.
Key Features
Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage.
Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends.
Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength.
Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period.
Applications
Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment.
Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders.
Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument.
Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions.
Interpretation
Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index).
Falling RS: Suggests the first instrument is underperforming.
SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance.
Settings
Instrument 2: Ticker of the second instrument (default: QQQ).
SMA Period: Period for the Simple Moving Average (default: 14).
Notes
The indicator works on any timeframe but requires accurate ticker input for the second instrument.
Ensure data for both instruments is available on the selected timeframe for precise analysis.
Customizable EMA 10/20/50/100Customizable EMA indicator. Fully adjustable with inputs so you can change EMA lengths and colors directly from the indicator settings panel.
SMA MAD SuperTrend | OquantThe SMA MAD SuperTrend | Oquant is an trend-following indicator designed to help traders identify potential trend directions and reversals using a unique combination of a Simple Moving Average (SMA), Mean Absolute Deviation (MAD), and a SuperTrend mechanism. This script aims to provide clear visual signals for trend entries and exits, making it suitable for traders looking to capture trends.
This indicator innovatively combines the smoothing properties of an SMA with the volatility-adaptive qualities of MAD to create dynamic SuperTrend bands. Unlike traditional SuperTrend indicators that rely on Average True Range (ATR) for volatility, this script uses Mean Absolute Deviation(MAD) to measure the average absolute deviation from the mean price, providing a different perspective on price volatility. The result is a SuperTrend system that adapts to market conditions with a focus on price deviation, offering a unique tool for trend detection.
Components and Calculations
Simple Moving Average (SMA):
The SMA is a widely used indicator that calculates the average of a specified number of closing prices. It smooths price data to identify the overall trend direction. In this script, the SMA serves as the baseline for calculating dynamic upper and lower bands.
Mean Absolute Deviation (MAD):
MAD measures the average absolute deviation of the price from its mean. It quantifies volatility by calculating how far prices deviate from the mean price, offering an alternative to ATR.
SuperTrend Mechanism:
This SuperTrend indicator generates dynamic upper and lower bands around the Simple Moving Average (SMA) using mean absolute deviation as measure of volatility.
It tracks trend direction by comparing the close price to the bands:
If the price crosses above the upper band, the trend turns bullish, and the SuperTrend follows the lower band.
If the price crosses below the lower band, the trend turns bearish, and the SuperTrend follows the upper band.
The bands adjust based on their previous values, updating only when the price crosses a band or the band shifts in the correct direction, reducing false signals and ensuring stable trend detection.
How to Use the Indicator
Trend Signals:
Green Line: Indicates a bullish trend (price above the SuperTrend line).
Purple Line: Indicates a bearish trend (price below the SuperTrend line).
Bar and Candle Coloring: Bars and candles are colored green for bullish trends and purple for bearish trends, making it easy to visualize trend direction.
Filled Areas: The area between the price and the SuperTrend line is filled with transparent colors (green for bullish, purple for bearish) to highlight trend.
Inputs:
Source: Choose the price data for calculations.
SMA Length: Adjust the period for the SMA. Longer periods smooth the trend further.
MAD Length: Set the period for MAD calculation. Shorter periods make the MAD more sensitive.
Factor: Control the distance of the SuperTrend bands from the SMA. Higher values widen the bands, reducing sensitivity to price fluctuations.
Alerts:
The script includes alert conditions for trend changes:
SMA MAD SuperTrend Long: Triggered when the trend turns bullish.
SMA MAD SuperTrend Short: Triggered when the trend turns bearish.
Set up alerts in TradingView to receive notifications for these conditions.
Why Use This Script?
The SMA MAD SuperTrend | Oquant offers a fresh take on trend-following by integrating SMA as baseline and MAD for volatility measurement, providing an alternative to ATR-based SuperTrend indicators. Its clear visual signals, customizable inputs, and alert conditions make it versatile for traders of all levels.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
MACD X Cross with PlotThe default MACD indicator with the crossover added at the top of the MACD plot pane. Arrow up for MACD crossover signal line. Arrow down for MACD crossunder signal line.
ATR SL/TPStop Loss Finder ATR
A Stop Loss Finder ATR indicator is a dynamic risk management tool leveraging the Average True Range (ATR) to identify and track optimal stop-loss levels based on current market volatility.
A stop hunt indicator is a technical tool designed to identify potential instances where large market participants, often referred to as "smart money," deliberately move the price to trigger a large number of stop-loss orders, creating a temporary price distortion before reversing the trend. These indicators aim to help traders detect these events to either avoid being stopped out or to enter trades in the direction of the anticipated reversal.
For example, a long wick below support with high volume may signal a bullish stop-hunt , indicating that the price has been driven down to trigger sell-stop orders before reversing upward. Conversely, a long wick above resistance with high volume may signal a bearish stop-hunt , suggesting the price was pushed up to trigger buy-stop orders before reversing downward. The presence of such wicks is often associated with candlestick patterns like hammers or shooting stars.
Unlike fixed stop-losses, this indicator adapts its distance from the current price using a customizable ATR multiplier, ensuring that stop-loss levels are neither too tight (prone to being triggered by normal market noise) nor too wide (exposing capital to excessive risk) . The core function calculates the true range—considering the current high-low range, gaps up, and gaps down—over a user-defined period (typically 14 bars), then applies a multiplier to generate a volatility-adjusted stop-loss distance . This approach allows the indicator to dynamically widen stops during high-volatility periods and tighten them during calm markets, providing a more responsive and context-aware exit strategy.
