Wolf Exit Oscillator Enhanced
# Wolf Exit Oscillator Enhanced
## What it is (quick take)
**Wolf Exit Oscillator Enhanced** is a clean, rules-first **exit timing tool** built on the **True Strength Index (TSI)** with two optional safeguards:
1. **Signal-line crossover** (to avoid bailing on shallow dips), and
2. **EMA confirmation** (price-based “is the trend actually weakening/strengthening?” check).
Use it to standardize when you **take profits, cut losers, or scale out**—especially after momentum runs hot or cold.
> Works best **paired** with:
>
> * **ABS NR — Fail-Safe Confirm (v4.2.2)** for entries
> * **ABS Companion Oscillator — Trend / Exhaustion / New Trend** for trend/exhaustion context
---
## How to use it (operational workflow)
1. **Set your bands**
* `exitHigh` and `exitLow` mark “overcooked” zones on the TSI scale (default: +60 / –60).
* Above `exitHigh` = momentum stretched **up** (good place to **exit shorts** or **take long profits**).
* Below `exitLow` = momentum stretched **down** (good place to **exit longs** or **take short profits**).
2. **Choose strictness**
* **Base mode**: the moment TSI crosses out of a band, you get an exit signal.
* **Add Signal-Line Cross** (`enableSignalX = true`): require TSI to cross its signal in the same direction → **fewer, cleaner exits**.
* **Add EMA Filter** (`enableEMAFilter = true`): also require **price** to confirm (e.g., long exit only if price < EMA). This avoids bailing during healthy trends.
3. **Execute with structure**
* **Full exit** when a signal fires, or
* **Scale out** (e.g., 50% on first signal, remainder on trail/secondary signal), or
* **Move stop** to lock gains once an exit signal prints.
4. **Alerts**
* Set to **“Once per bar close”** to avoid intrabar flip-flop.
* Use the two provided alert names for automation (see “Alerts” below).
---
## Signals & visuals
* **TSI line** (solid) and **Signal line** (dashed) with optional **histogram** (TSI − Signal).
* **Horizontal bands** at `exitHigh` and `exitLow`.
* **Labels**:
* **Exit Long** appears when long-side momentum breaks down (below `exitLow`, plus any enabled filters).
* **Exit Short** appears when short-side momentum breaks down (above `exitHigh`, plus any enabled filters).
**Alerts (stable names):**
* **WolfExit — Exit Long**
* **WolfExit — Exit Short**
---
## Non-repainting behavior (what to expect)
* The oscillator is computed with **EMAs on current timeframe**—no higher-timeframe lookahead, no repaint.
* **Intrabar**: TSI/Signal can fluctuate; use **bar-close evaluation** (and alert setting “Once per bar close”) to lock signals.
* If you enable the EMA filter, that check is also evaluated at bar close.
---
## Every input explained (and how changing it alters behavior)
### Momentum engine (TSI)
* **TSI Long EMA Length (`tsiLongLen`, default 25)**
Higher = smoother, slower momentum; fewer signals. Lower = twitchier, more signals.
* **TSI Short EMA Length (`tsiShortLen`, default 13)**
Fine-tunes responsiveness on top of the long length. Lower short → snappier TSI.
* **TSI Signal Line Length (`tsisigLen`, default 7)**
Higher = slower signal line (harder to cross) → fewer signals. Lower = easier crosses → more signals.
### Thresholds (the bands)
* **Exit Threshold High (`exitHigh`, default +60)**
Raise to demand **stronger** overbought before signaling short exits / long profit-takes. Lower to trigger sooner.
* **Exit Threshold Low (`exitLow`, default −60)**
Raise (toward 0) to trigger **earlier** on longs; lower (more negative) to wait for deeper downside stretch.
### Confirmation layers
* **Require Signal Line Crossover (`enableSignalX`, default true)**
On = TSI must cross its signal (same direction as exit) → **filters out shallow wiggles**. Off = faster, more frequent exits.
* **Enable EMA Confirmation Filter (`enableEMAFilter`, default true)**
On = require **price < EMA** for **Exit Long** and **price > EMA** for **Exit Short**.
* **EMA Exit Confirmation Length (`exitEMALen`, default 50)**
Higher = **trendier** filter (harder to flip) → fewer exits; Lower = more reactive → more exits.
### Visuals
* **Show Histogram (`showHist`)**
On = quick visual for TSI–Signal spread (helps spot weakening momentum before a cross).
* **Plot Exit Signals (`showSignals`)**
Toggle labels if you only want the lines/bands with alerts.
---
## Tuning recipes (quick, practical)
* **Strong trend days (avoid premature exits)**
* Keep **`enableSignalX = true`** and **`enableEMAFilter = true`**
* Increase **`exitEMALen`** (e.g., 80)
* Consider raising **`exitHigh`** to 65–70 (and lowering **`exitLow`** to −65/−70)
* **Choppy/range days (exit faster, take the cash)**
* **`enableEMAFilter = false`** (don’t wait for price filter)
* **`enableSignalX`** optional; try off for quicker responses
* Bring bands closer to **±50** to take profits earlier
* **Scalping / lower timeframes**
* Shorten **TSI lengths** a bit (e.g., 21/9/5)
* Consider **`exitHigh=55 / exitLow=-55`**
* Keep **histogram on** to visualize momentum flip risk
* **Swing trading / higher timeframes**
* Lengthen **TSI** (e.g., 35/21/9) and **`exitEMALen`** (e.g., 100)
* Wider bands (±65 to ±75) to catch bigger moves before exiting
---
## Playbooks (how to actually trade it)
* **Entry from ABS NR FS, exit with Wolf**
* Take entries from **ABS NR — Fail-Safe Confirm** (triangle).
* Use **Wolf Exit** to scale out: 50% on first exit label, trail remainder with price/EMA or your stop logic.
* **Pyramid & protect**
* Add on re-accelerations (TSI pulls back toward zero without breaching the opposite band).
* The first **Exit** signal → take partial, raise stop to last higher low / lower high.
* **Mean-reversion fade management**
* When fading with ABS NR (KC band pokes + stretched |Z|), target the first opposite **Exit** signal as your “don’t overstay” cue.
---
## Suggested starting points
* **Day trading (5–15m):**
* TSI: **25 / 13 / 7** (default)
* Bands: **+60 / −60**
* Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 50**
* Alerts: **Once per bar close**
* **Scalping (1–3m):**
* TSI: **21 / 9 / 5**
* Bands: **±55**
* Confirmations: **SignalX = on**, **EMA Filter = off** (optional for speed)
* **Swing (1h–D):**
* TSI: **35 / 21 / 9**
* Bands: **+65 / −65** (or ±70)
* Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 100**
---
## Best-practice pairings
* **Entries:** **ABS NR — Fail-Safe Confirm (v4.2.2)**
* Take ABS triangles; let Wolf standardize exits so you’re not guessing.
* **Context:** **ABS Companion Oscillator**
* Prefer holding longer when the companion stays above (for longs) or below (for shorts) its neutral band and **no EXH tag** prints.
* If companion flags **EXH** against your position, tighten stops; Wolf’s next exit signal becomes high priority.
---
## Notes & disclaimers
* This is an **exit signal tool**, not a strategy or broker.
* Signals are strongest when aligned with your **entry logic** and a **risk framework** (position sizing, stops, partials).
* All evaluations are **current timeframe**; no higher-timeframe lookahead is used.
* Markets change—tune the bands and confirmations per symbol/timeframe.
---
**Tip:** Keep your alerts simple—one for **Exit Long**, one for **Exit Short**, **Once per bar close**. Use partial exits on the first signal, and let your stop/trailing logic handle the rest.
趨勢分析
Key Indicators Dashboard (KID)Key Indicators Dashboard (KID) — Comprehensive Market & Trend Metrics
📌 Overview
The Key Indicators Dashboard (KID) is an advanced multi-metric market analysis tool designed to consolidate essential technical, volatility, and relative performance data into a single on-chart table. Instead of switching between multiple indicators, KID centralizes these key measures, making it easier to assess a stock’s technical health, volatility state, trend status, and relative strength at a glance.
🛠 Key Features
⦿ Average Daily Range (ADR %): Measures average daily price movement over a specified period. It is calculated by averaging the daily price range (high - low) over a set number of days (default 20 days).
⦿ Average True Range (ATR): Measures volatility by calculating the average of a true range over a specific period (default 14). It helps traders gauge the typical extent of price movement, regardless of the direction.
⦿ ATR%: Expresses the Average True Range as a percentage of the price, which allows traders to compare the volatility of stocks with different prices.
⦿ Relative Strength (RS): Compares a stock’s performance to a chosen benchmark index (default NIFTYMIDSML400) over a specific period (default 50 days).
⦿ RS Score (IBD-style): A normalized 1–100 rating inspired by Investor’s Business Daily methodology.
How it works: The RS Score is based on a weighted average of price changes over 3 months (40%), 6 months (20%), 9 months (20%), and 12 months (20%).
The raw value is converted into a percentage return, then normalized over the past 252 trading days so the lowest value maps to 1 and the highest to 100.
This produces a percentile-style score that highlights the strongest stocks in relative terms.
⦿ Relative Volume (RVol): Compares a stock's current volume to its average volume over a specific period (default 50). It is calculated by dividing the current volume by the average historical volume.
⦿ Average ₹ Volume (Turnover): Represents the total monetary value of shares traded for a stock. It's calculated by multiplying a day's closing price by its volume, with the final value converted to crores for clarity. This metric is a key indicator of a stock's liquidity and overall market interest.
⦿ Moving Average Extension: Measures how far a stock's current price has moved from from a selected moving average (EMA or SMA). This deviation is normalized by the stock's volatility (ATR%), with a default threshold of 6 ATR used to indicate that the stock is significantly extended and is marked with a selected shape (default Red Flag).
⦿ 52-Weeks High & Low: Measures a stock's current price in relation to its highest and lowest prices over the past year. It calculates the percentage a stock is below its 52-week high and above its 52-week low.
⦿ Market Capitalization: Market Cap represents the total value of all outstanding.
⦿ Free Float: It is the value of shares readily available for public trading, with the Free Float Percentage showing the proportion of shares available to the public.
⦿ Trend: Uses Supertrend indicator to identify the current trend of a stock's price. A factor (default 3) and an ATR period (default 10) is used to signal whether the trend is up or down.
⦿ Minervini Trend Template (MTT): It is a set of technical criteria designed to identify stocks in strong uptrends.
Price > 50-DMA > 150-DMA > 200-DMA
200-DMA is trending up for at least 1 month
Price is at least 30% above its 52-week low.
Price is within at least 25 percent of its 52-week high
Table highlights when a stock meets all above criteria.
⦿ Sector & Industry: Display stock's sector and industry, provides categorical classification to assist sector-based analysis. The sector is a broad economic classification, while the industry is a more specific group within that sector.
⦿ Moving Averages (MAs): Plot up to four customizable Moving Averages on a chart. You can independently set the type (Simple or Exponential), the source price, and the length for each MA to help visualize a stock's underlying trend.
MA1: Default 10-EMA
MA2: Default 20-EMA
MA3: Default 50-EMA
MA4: Default 200-EMA
⦿ Moving Average (MA) Crossover: It is a trend signal that occurs when a shorter-term moving average crosses a longer-term one. This script identifies these crossover events and plots a marker on the chart to visually signal a potential change in trend direction.
User-configurable MAs (short and long).
A bullish crossover occurs when the short MA crosses above the long MA.
A bearish crossover occurs when the short MA crosses below the long MA.
⦿ Inside Bar (IB): An Inside Bar is a candlestick whose entire price range is contained within the range of the previous bar. This script identifies this pattern, which often signals consolidation, and visually marks bullish and bearish inside bars on the chart with distinct colors and labels.
⦿ Tightness: Identifies periods of low volatility and price consolidation. It compares the price range over a short lookback period (default 3) to the average daily range (ADR). When the lookback range is smaller than the ADR, the indicator plots a marker on the chart to signal consolidation.
⦿ PowerBar (Purple Dot): Identifies candles with a strong price move on high volume. By default, it plots a purple dot when a stock moves up or down by at least 5% and has a minimum volume of 500,000. More dots indicate higher volatility and liquidity.
⦿ Squeezing Range (SQ): Identifies periods of low volatility, which can often precede a significant price move. It checks if the Bollinger Bands have narrowed to a range that is smaller than the Average True Range (ATR) for a set number of consecutive bars (default 3).
(UpperBB - LowerBB) < (ATR × 2)
⦿ Mark 52-Weeks High and Low: Marks and labels a stock's 52-Week High and Low prices directly on the chart. It draws two horizontal lines extending from the candles where the highest and lowest prices occurred over the past year, providing a clear visual reference for long-term price extremes.
⏳PineScreener Filters
The indicator’s alert conditions act as filters for PineScreener.
Price Filter: Minimum and maximum price cutoffs (default ₹25 - ₹10000).
Daily Price Change Filter: Minimum and maximum daily percent change (default -5% and 5%).
🔔 Built-in Alerts
Supports alert creation for:
ADR%, ATR/ATR %, RS, RS Rating, Turnover
Moving Average Crossover (Bullish/Bearish)
Minervini Trend Template
52-Week High/Low
Inside Bars (Bullish/Bearish)
Tightness
Squeezing Range (SQ)
⚙️ Customizable Visualization
Switchable between vertical or horizontal layout.
Works in dark/light mode
User-configurable to toggle any indicator ON or OFF.
User-configurable Moving (EMA/SMA), Period/Lengths and thresholds.
⦿ (Optional) : For horizontal table orientation increase Top Margin to 16% in Chart (Canvas) settings to avoid chart overlapping with table.
⚡ Add this script to your chart and start making smarter trade decisions today! 🚀
Clean Pivot Lines with AlertsTechnical Overview
This Script is designed for detecting untouched pivot highs and lows. It draws horizontal levels only when those pivots remain unviolated within a configurable lookback window and removes them automatically upon price breaches or sweeps.
Key components include:
Pivot detection logic : Utilizes ta.pivothigh()/ta.pivotlow() (or equivalent via request.security for HTF) with parameterized pivotLength to ensure flexibility and adaptability to different timeframes.
Cleanliness filtering : Checks lookbackBars prior to line creation to skip levels already violated, ensuring only uncontaminated pivots are used.
Dynamic level tracking : Stores active levels in arrays (highLines, lowLines) for continuous real-time monitoring.
Violation logic : Detects both close-based breaks (breakAbove/breakBelow) and wick-based sweeps (sweepAbove/sweepBelow), triggering alerts and automatic teardown.
Periodic housekeeping : Every N (10) confirmed bars, re-verifies “clean” status and removes silently invalidated levels—maintaining chart hygiene and avoiding stale overlays.
Customization options : Supports pivot timeframe override, colors, line width/style, lookback length, and alert toggling.
Utility
This overlay script provides a disciplined workflow for drawing meaningful support/resistance levels, filtering out contaminated pivot points, and signaling validations (breaks/sweeps) with alerts. Its modular design and HTF support facilitate integration into systematic workflows, offering far more utility than mere static pivot plots.
Usage Instructions
1. Adjust `pivot_timeframe`, `pivot_length`, and `lookback_bars` to suit your strategy timeframe and volatility structure.
2. Customize visual parameters as required.
3. Enable alerts to receive in-platform messages upon pivot violations.
4. Use HTF override only if analyzing multi-timeframe pivot behavior; otherwise, leave empty to default to chart timeframe.
Performance & Limitations
- Pivot lines confirmation lags by `pivot_length` bars; real-time signals may be delayed.
- Excessive active lines may impact performance on low-TF charts.
- The “clean” logic is contingent on the `lookback_bars` parameter; choose sufficiently high values to avoid false cleanliness.
- Alerts distinguish between closes beyond and wick-only breaches to aid strategic nuance.
Rebalance Statistics|█ OVERVIEW
Rebalance statistics is an indicator that gathers relevant data on how often price "rebalances" after an expansion, allowing traders to garner insights on potential future price movements through historical analysis. Additionally, it displays these key levels on the users chart and allows for users to implement filters in order to further deepen their analysis.
█ CONCEPTS
The concept of rebalancing follows the third candle in a typical 3-candle sequence of how an "FVG" is created. Typically, an "FVG" represents the area created during the second candle of an aggressive expansive movement, where the wick of the first candle high or low doesn't overlap with the third candles' high or low, creating an opportunity where traders may expect price to react from.
Rebalancing focuses on the third candle of this sequence, where the "FVG" may be created. When the low of the third candle (in the bullish case) doesn't reach the high of the first candle, the FVG isn't rebalanced, and if it does it's considered rebalanced. This may be useful to determine when movements are likely to retrace, as found by this indicator, most of the time the third candle is likely to rebalance the expansive move.
The indicator will display these areas, including the current ratio that candle 3 rebalanced of the area, as well as the overall stats associated with rebalancing, such as the average ratio of "non-rebalanced" areas, and how often price tends to rebalance these areas.
█ FEATURES
Rebalance areas: After a candle 2 expansion, the indicator will display the current rebalance ratio and the area that has been rebalanced as well as the overall rebalance area.
Rebalance statistics: The indicator will display through a table the overall probability of a rebalance including the average ratio that the candle 3 will rebalance of the overall area.
Time filtering: Filter rebalances to occur only during a specific period of time (suggested for lower timeframes).
Candle sequence filtering: Filter rebalances by only using the cases where the first candle of the sequence is in line with the second one to determine how it affects the statistic.
█ How to use
To use the indicator, simply apply it to your chart and modify any of your desired inputs.
The indicator is setup to display statistics for rebalances based on your current timeframe, but you may also adjust the indicator to only calculate the statistic based on a certain time window in the day done in NY time (UTC-4), or by filtering the candle sequence (candle 1 of the 3 candle sequence must be in the same direction as the ones following it.
Trend Strength Index - ZTFThis is a modification of TradingView's default Trend Strength Index indicator.
The Trend Strength Index measures the tendency of a symbol to either trend steadily or to revert to its mean. The core idea behind TSI is that the more momentum a symbol has relative to its volatility, the more likely it is to follow a trend and less likely to revert to its mean.
This indicator analyzes price momentum using the Pearson correlation coefficient, a normalized measure of the linear relationship between time series. Its output shows the correlation between the chart's closing prices and bar index values over a defined number of bars.
A value near +1 shows that prices experienced relatively steady increases across successive bars, indicating high upward trend strength
A value near -1 shows that prices experienced relatively steady decreases across successive bars, indicating high downward trend strength
A value near 0 suggests a lack of trend strength, because prices did not demonstrate a steady positive or negative relationship with the bar index
ZTF Modification: Added a green background highlight that appears when TSI reaches 0.90 or above, providing a visual alert for extremely strong bullish trend conditions.
Credit: Based on TradingView's default Trend Strength Index indicator.
Countdown & Candle Recap DashboardThis script provides a compact dashboard showing a countdown timer and a recap of the previous candles. Ideal for traders who want to monitor short-term price action and candle behavior across different timeframes.
Features: • Countdown display for current candle • Summary of previous candles (PrevCndl1, PrevCndl2) • TimeFrame Recap section for quick analysis
Designed for scalpers, intraday traders, and anyone who values precision timing and candle structure.
Swing Point Volume Z-ScoreSWING POINT VOLUME Z-SCORE INDICATOR
A volume analysis tool that identifies statistical volume spikes at swing points with optional higher timeframe confirmation.
This indicator uses Leviathan's method of swing detection. All credit to him for his amazing work (and any mistakes mine). I was also inspired by Trading Riot, who's Capitulation indicator gave me the idea to create this one.
WHAT IT DOES
This indicator combines three analytical approaches:
- Volume Z-score calculation to measure volume significance statistically
- Automatic swing point detection (higher highs, lower lows, etc.)
- Optional higher timeframe volume confirmation
The Z-score measures how many standard deviations current volume is from the average, helping identify when volume activity is genuinely elevated rather than relying on visual assessment.
VISUAL SYSTEM
The indicator uses a color-coded approach for quick assessment:
GREEN - Normal Activity (Z-Score 1.0-2.0)
Above-average volume levels
ORANGE - Elevated Activity (Z-Score 2.0-3.0)
High volume activity that may indicate increased interest
RED - Potential Institutional Activity (Z-Score 3.0+)
Very high volume levels that could suggest significant market participation
HIGHER TIMEFRAME CONFIRMATION
When enabled, the indicator checks volume on a higher timeframe:
- Checkmark symbol indicates HTF volume also shows elevation
- X symbol indicates HTF volume doesn't confirm
- Auto-selects appropriate higher timeframe or allows manual selection
KEY FEATURES
Statistical Approach: Uses Z-score methodology rather than arbitrary volume thresholds
Adaptive Thresholds: Can adjust based on market volatility conditions
Swing Focus: Concentrates analysis on structurally important price levels
Volume Trends: Shows whether volume is accelerating or decelerating
Success Tracking: Monitors how often HTF confirmation proves effective
DISPLAY OPTIONS
Basic Mode: Essential features with clean interface
Advanced Mode: Additional customization and analytics
Label Sizing: Four size options to fit different screen setups
Table Position: Moveable info table with transparency control
Custom Colors: Adjustable for different chart themes
PRACTICAL APPLICATIONS
May help identify:
- Volume spikes at support/resistance levels
- Potential accumulation or distribution zones
- Breakout confirmation with volume backing
- Areas where larger market participants might be active
Works on all liquid markets and timeframes, though generally more effective on 15-minute charts and higher.
USAGE NOTES
This is an analytical tool that highlights statistically significant volume events. It should be used as part of a broader analysis approach rather than as a standalone trading system.
The indicator works best when combined with:
- Price action analysis
- Support and resistance identification
- Trend analysis
- Proper risk management
Default settings are designed to work well across most instruments, but users can adjust parameters based on their specific needs and trading style.
TECHNICAL DETAILS
Built with Pine Script v5
Compatible with all TradingView subscription levels
Open source code available for review and learning
Works on stocks, forex, crypto, futures, and other liquid instruments
The statistical approach helps remove some subjectivity from volume analysis, though like all technical indicators, it should be used thoughtfully as part of a complete trading plan.
Liquidity Sweep Scanner [TradingFinder]🔵 Introduction
Recognizing how liquidity develops and how price reacts at key structural levels is critical for spotting precise, low-risk trade entries. The Liquidity Sweep Scanner is an advanced tool built to track market activity in real time, pinpoint liquidity sweeps, define reaction zones, and identify confirmation candles across multiple instruments and timeframes.
Key Advantages :
Detects high-probability reversal points with precision.
Combines liquidity analysis, market structure, and candle confirmation.
Works seamlessly across multiple symbols and timeframes.
This screener can scan a broad watchlist or analyze every timeframe of a single asset to find optimal reversal zones. It starts by identifying a clear swing point either a swing high or swing low and marking a reaction zone between that point and the candle’s highest or lowest open/close value.
If price revisits the zone, performs a liquidity grab, and forms an indecision candle such as a doji or narrow-bodied bar that closes inside the zone, this may indicate rejection of the level and a failed breakout attempt. Based on the surrounding market context, the screener then flags a potential bullish or bearish reversal and generates the appropriate Long or Short signal.
By focusing on precise entry timing, institutional order flow alignment, and filtering out false breakouts, the Liquidity Sweep Scanner zeroes in on the market areas where liquidity engineering, reversal potential, and inefficiency overlap. This makes it an indispensable tool for price action traders who rely on clear, high-quality setups without the distraction of market noise.
🔵 How to Use
The Liquidity Sweep Scanner continuously evaluates market structure, issuing alerts when a potential reversal setup emerges. It merges liquidity behavior, swing point analysis, and candle confirmation within predefined reaction zones.
To illustrate, imagine price forms a swing high or low, then later returns to that level. If it sweeps the prior extreme and produces a qualifying candle inside the reaction zone, the tool signals a possible reversal.
🟣 Long Setup
For a bullish scenario, the screener first spots a valid swing low a level often packed with sell-side liquidity. From there, it defines a reaction zone stretching from the swing low to the candle’s lowest open/close point.
If price retests this area with a wick dipping below the swing low but then closes back inside the zone, it signals absorption of selling pressure and rejection of further downside. The screener then awaits a confirmation candle commonly a doji or small-bodied bar closing inside the zone. Once these conditions align, a Long signal is logged and, if alerts are active, the trader receives a notification.
🟣 Short Setup
For bearish opportunities, the process begins by locating a valid swing high typically an area dense with buy-side liquidity. The reaction zone is drawn from the swing high to the candle’s highest open/close value.
When price retests this zone, sweeps above the swing high, and fails to close higher, it suggests a bull trap and waning upward momentum. The screener then requires a confirmation candle often a doji or rejection bar that closes back within the zone before confirming a Short signal.
These bearish setups help traders pinpoint likely institutional sell zones, offering a clear view of where price may reverse following a liquidity event.
🔵 Settings
🟣 Logical settings
Liquidity Swing period : You can set the swing detection period.
Market Structure Period :You can set the Pivot Period to determine the detection direction.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
Maximum Distance Between Swing and Signal : The maximum number of candles allowed between the swing point and the potential signal. The default value is 50, ensuring that only recent and relevant price reactions are considered valid.
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 10 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
🟣 Alert Settings
Alert : Enables alerts for LSS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Liquidity Sweep Scanner equips traders with a precise, structured method for spotting high-probability reversals by merging liquidity sweeps, reaction zone mapping, and candle confirmation.
It not only filters out market noise but also highlights price areas where inefficiency and reversal potential align. Beyond identifying clean entry points, the tool includes a market direction detection feature allowing traders to quickly determine the prevailing trend and align their trades accordingly.
With adjustable settings such as the Pivot Period for fine-tuning detection direction, it adapts to various trading styles and timeframes, making it a powerful and versatile addition to any trader’s strategy.
25 Day and 125 Day EMA Trend IndicatorThe "25 and 125 EMA Trend indicator," is a powerful yet simple tool designed for use on any TradingView chart. Its primary purpose is to help traders visually identify both short-term and long-term trends in the market.
How the Script Works
The script is built around two Exponential Moving Averages (EMAs), which are a type of moving average that gives more weight to recent price data. This makes them more responsive to current market changes than a Simple Moving Average (SMA). The two EMAs are:
Fast EMA (25-day): Represented by the blue line, this EMA reacts quickly to price fluctuations. It's excellent for identifying the current short-term direction and momentum of the asset.
Slow EMA (125-day): Represented by the purple line, this EMA smooths out price action over a much longer period. It's used to determine the underlying, long-term trend of the market.
Trading Signals and Interpretation
The real value of this script comes from observing the relationship between the two EMA lines.
Uptrend: When the blue (25-day) EMA is above the purple (125-day) EMA, it indicates that the short-term trend is stronger than the long-term trend, signaling a bullish or upward-moving market.
Downtrend: Conversely, when the blue EMA is below the purple EMA, it suggests that the short-term trend is weaker, indicating a bearish or downward-moving market.
Cross-overs: The most important signals are often generated when the two lines cross.
A bullish cross (or "golden cross") occurs when the blue EMA crosses above the purple EMA. This can be a signal that a new, strong uptrend is beginning.
A bearish cross (or "death cross") occurs when the blue EMA crosses below the purple EMA. This may signal the start of a new downtrend.
Customisation
The script includes user-friendly input fields that allow you to customise the lengths of both EMAs directly from the indicator's settings on the chart. This lets you experiment with different time frames and tailor the indicator to your specific trading strategy.
13/48 EMA Trading Scalper (ATR TP/SL)13/48 EMA Trading Scalper (ATR TP/SL)
What it does:
This tool looks for price “touches” of the 13-EMA, only takes CALL entries when the 13 is above the 48 (uptrend) and PUT entries when the 13 is below the 48 (downtrend), and confirms with a simple candle pattern (green > red with expansion for calls, inverse for puts). Touch sensitivity is ATR-scaled, so signals adapt to volatility. Each trade gets auto-drawn entry, TP, and SL lines, colored labels with $ / % distance from entry, plus optional TP/SL hit alerts. A rotating color palette and per-bar label staggering help keep the chart readable. Old objects are auto-pruned via maxTracked.
How it works
Trend filter: 13-EMA vs 48-EMA.
Entry: ATR-scaled touch of the 13-EMA + candle confirmation.
Risk: TP/SL = ATR multiples you control.
Visuals: Entry/TP/SL lines (extend right), vertical entry marker (optional), multi-line labels.
Hygiene: maxTracked keeps only the last N trades’ objects; labels are staggered to reduce overlap.
Alerts: Buy Call, Buy Put, Take Profit Reached, Stop Loss Hit.
Key Inputs
Fast EMA (13), Trend EMA (48), ATR Length (14)
Touch Threshold (x ATR) – how close price must come to the EMA
Take Profit (x ATR), Stop Loss (x ATR)
maxTracked – number of recent trades to keep on chart
Tips
Start with Touch = 0.10–0.20 × ATR; TP=2×ATR, SL=1×ATR, then tune per symbol/timeframe.
Works on intraday and higher TFs; fewer, cleaner signals on higher TFs.
This is an indicator, not a broker—always backtest and manage risk.
Nifty Smart Zones & Breakout Bars(5min TF only) by Chaitu50cNifty Smart Zones & Breakout Bars is a purpose-built intraday trading tool, tested extensively on Nifty50 and recommended for Nifty50 use only.
All default settings are optimised specifically for Nifty50 on the 5-minute timeframe for maximum accuracy and clarity.
Why Last Bar of the Session Matters
The last candle of a trading session often represents the final battle between buyers and sellers for that day.
It encapsulates closing sentiment, influenced by end-of-day positioning, profit booking, and institutional activity.
The high and low of this bar frequently act as strong intraday support/resistance in the following sessions.
Price often reacts around these levels, especially when combined with volume surges.
Core Features
Session Last-Candle Zones
Plots a horizontal box at the high and low of the last candle in each session.
Boxes extend to the right to track carry-over levels into new sessions.
Uses a stateless approach — past zones reappear if relevant.
Smart Suppression System
When more than your Base Sessions (No Suppression) are shown, newer zones overlapping or within a proximity distance (in points) of older zones are hidden.
Older zones take priority, reducing chart clutter while keeping critical levels.
Breakout Bar Coloring
Highlights breakout bars in four categories:
Up Break (1-bar)
Down Break (1-bar)
Up Break (2-bar)
Down Break (2-bar)
Breakouts use a break buffer (in ticks) to filter noise.
Toggle coloring on/off instantly.
Volume Context (User Tip)
For best use, pair with volume analysis.
High-volume breakouts from last-session zones have greater conviction and can signal sustained momentum.
Usage Recommendations
Instrument: Nifty50 only (tested & optimised).
Timeframe: 5-minute chart for best results.
Approach:
Watch for price interaction with the plotted last-session zones.
Combine zone breaks with bar color signals and volume spikes for higher-probability trades.
Use suppression to focus on key, non-redundant levels.
Why This Tool is Different
Unlike standard support/resistance plotting, this indicator focuses on session-closing levels, which are more reliable than arbitrary highs/lows because they capture the final market consensus for the session.
The proximity-based suppression ensures your chart stays clean, while breakout paints give instant visual cues for momentum shifts.
BTFD 5 Break-Out indyThe "BTFD 5 Break-Out indy" indicator uses background colors and buy/sell triangles to visually represent trading signals and position status based on its logic. Here's a brief explanation of the logic behind the green/red background and buy/sell triangles:
- **Green/Red Background**:
- **Green Background**: Displayed when the indicator is in a "long" position, meaning a buy signal has been triggered and the position is active. This indicates the market is in a favorable state for holding a long trade, based on conditions like an oversold breakout or strong momentum.
- **Red Background**: Shown when not in a long position, either before entering a trade or after exiting due to a sell signal (e.g., trend reversal, overbought conditions, or stop-loss hit). It signals a neutral or unfavorable state for buying.
- **Buy/Sell Triangles**:
- **Buy Triangles (Green, Below Bar)**: Plotted when a buy signal is triggered, indicating a high-probability entry point. This occurs when the market shows signs of recovery from an oversold state (e.g., a significant upward shift in the smoothed Z-score) or strong momentum (e.g., a rapid change in the rate-of-change metric). The triangle marks the exact bar where the long position is initiated.
- **Sell Triangles (Red, Above Bar)**: Plotted when an exit condition is met, signaling the close of a long position. Exits are triggered by a trend reversal (e.g., a trailing moving average turning bearish), a shift to overbought conditions, or a stop-loss breach. The triangle marks the bar where the position is closed.
In summary, the green background reflects an active long trade, while red indicates no position. Buy triangles signal entry points based on oversold breakouts or momentum, and sell triangles mark exits due to trend changes, reversals, or losses, aligning with institutional dip-buying strategies.
SMT Oscillator: Smarter Money Divergence Detector [PhenLabs]📊Phenlabs - SMT Oscillator: Smarter Money Divergence Detector
Version: PineScript™v6
📌Description
The SMT Oscillator is a sophisticated tool designed to identify smart money divergence between two correlated assets. By analyzing the momentum and volume-weighted price action of a primary and secondary symbol, traders can spot subtle shifts in market dynamics that often precede significant price movements. This indicator is built to provide a clearer, more filtered view of inter-market relationships, solving the common problem of false signals and market noise. Its primary purpose is to equip traders with a quantifiable edge in detecting potential reversals or continuations that are not obvious on a standard price chart.
🚀Points of Innovation
Dual-Symbol Divergence Core: Directly compares momentum (RSI or MACD) between two user-selected symbols to pinpoint true SMT divergence.
Volume-Weighted Analysis: Integrates volume delta into the divergence calculation, giving more weight to moves backed by significant market participation.
Entropy Filter for Noise Reduction: Employs an entropy calculation to filter out low-quality signals during choppy or consolidating market conditions.
Predictive Forecast Line: Utilizes a linear regression model to project the oscillator’s future trajectory, offering a forward-looking glimpse of potential momentum shifts.
Customizable Signal Sensitivity: Allows fine-tuning of overbought and oversold levels to adapt to different market volatilities and trading styles.
Integrated Signal Alerts: Provides built-in alerts for bullish/bearish zero crosses and overbought/oversold conditions.
🔧Core Components
Momentum Engine: The user can select either RSI or MACD as the underlying engine for the divergence calculation, allowing for flexibility in analysis.
Normalization Function: Price data from both symbols is normalized using percentage change to ensure a true “apples-to-apples” comparison, regardless of their nominal price differences.
Divergence Calculator: The core algorithm that subtracts the secondary symbol’s momentum from the primary’s and normalizes the result using the combined standard deviation.
Smoothing Mechanism: An Exponential Moving Average (EMA) is applied to the raw oscillator output to reduce choppiness and provide a clearer signal line.
🔥Key Features
Multi-Asset Comparison: Go beyond single-asset analysis by comparing correlated pairs like ES/NQ or BTC/ETH to uncover hidden trading opportunities.
Heatmap Visualization: An optional heatmap mode provides an intuitive visual representation of divergence strength, making it easier to gauge market sentiment at a glance.
Configurable Lookback and Timeframe: Adjust the lookback period and analysis timeframe to suit your specific strategy, from short-term scalping to long-term trend analysis.
Signal Markers: Visual markers are plotted directly on the chart for bullish and bearish zero-line crossovers, providing clear entry and exit signals.
🎨Visualization
SMT Oscillator Line: The primary visual element, colored blue for bullish (positive) divergence and orange for bearish (negative) divergence.
Zero Line: A solid horizontal line at the zero level, indicating the equilibrium point between the two assets. Crossovers of this line signal a shift in relative strength.
Overbought/Oversold Zones: Dotted lines at the +80 and -80 levels (customizable) that highlight extreme divergence readings, often indicating potential exhaustion points.
Forecast Line: A predictive line that plots the anticipated path of the oscillator, giving traders an advanced warning of potential changes in momentum.
📖Usage Guidelines
Setting Categories
Primary Symbol
Default: (Chart Symbol)
Description: The main asset you are analyzing. Leave blank to use the symbol currently on your chart.
Secondary Symbol
Default: CME_MINI:ES1! (used with NASDAQ futures due to inherent heavy correlation
Description: The asset to compare against the primary symbol.
Lookback Period
Default: 14
Range: 8-100
Description: Controls the calculation window for momentum (RSI/MACD). Higher values result in a smoother, less sensitive oscillator.
Divergence Type
Default: RSI
Options: RSI, MACD
Description: Choose the momentum indicator to use for the divergence calculation.
Enable Volume Weighting
Default: true
Description: When enabled, gives more weight to divergence signals that are accompanied by significant volume.
✅Best Use Cases
Identifying high-probability reversal points by spotting divergence in overbought or oversold territory.
Confirming the strength of a trend by observing sustained positive or negative divergence.
Pairs trading by taking a long position on the outperforming asset and a short position on the underperforming one during a divergence.
Risk management by recognizing when a current trend is losing its underlying momentum.
⚠️Limitations
Requires Correlated Assets: The indicator’s effectiveness is highly dependent on the selection of two assets with a known correlation (e.g., ES and NQ).
Not a Standalone System: Divergence signals should be used in conjunction with other forms of analysis (price action, market structure) and not as a complete trading system.
Lagging by Nature: As it is based on moving averages and past price data, the oscillator is inherently lagging and may not capture all rapid price changes.
💡What Makes This Unique
Combined Momentum & Volume: Unlike standard oscillators, it fuses momentum with volume delta for a more robust “Smart Money” perspective.
Noise-Filtering Mechanism: The proprietary entropy filter is a unique feature designed to weed out insignificant market chatter and focus on high-conviction signals.
🔬How It Works
Data Normalization:
The script first normalizes the price data of the two selected symbols into percentage changes. This ensures that the comparison is fair, regardless of the difference in their price scales.
Momentum Calculation:
It then calculates the chosen momentum value (either RSI or MACD histogram) for each of the normalized price series.
Divergence Computation:
The core of the indicator lies in subtracting the momentum of the secondary symbol from the primary one. This raw divergence is then optionally weighted by volume and filtered for market noise (entropy) to produce the final oscillator value.
💡Note:
For best results, use this indicator on adequate timeframes to filter out market noise. Always confirm signals with price action analysis before entering a trade.
Momentum_EMABand📢 Reposting Notice
I am reposting this script because my earlier submission was hidden due to description requirements under TradingView’s House Rules. This updated version fully explains the originality, the reason for combining these indicators, and how they work together. Follow me for future updates and refinements.
🆕 Momentum EMA Band, Rule-Based System
Momentum EMA Band is not just a mashup — it is a purpose-built trading tool for intraday traders and scalpers that integrates three complementary technical concepts into a single rules-based breakout & retest framework.
Originality comes from the specific sequence and interaction of these three filters:
Supertrend → Sets directional bias.
EMA Band breakout with retest logic → Times precise entries.
ADX filter → Confirms momentum strength and avoids noise.
This system is designed to filter out weak setups and false breakouts that standalone indicators often fail to avoid.
🔧 How the Indicator Works — Combined Logic
1️⃣ EMA Price Band — Dynamic Zone Visualization
Plots upper & lower EMA bands (default: 9-period EMA).
Green Band → Price above upper EMA = bullish momentum
Red Band → Price below lower EMA = bearish pressure
Yellow Band → Price within band = neutral zone
Acts as a consolidation zone and breakout trigger level.
2️⃣ Supertrend Overlay — Reliable Trend Confirmation
ATR-based Supertrend adapts to volatility:
Green Line = Uptrend bias
Red Line = Downtrend bias
Ensures trades align with the prevailing trend.
3️⃣ ADX-Based No-Trade Zone — Choppy Market Filter
Manual ADX calculation (default: length 14).
If ADX < threshold (default: 20) and price is inside EMA Band → gray background marks low-momentum zones.
🧩 Why This Mashup Works
Supertrend confirms trend direction.
EMA Band breakout & retest validates the breakout’s strength.
ADX ensures the market has enough trend momentum.
When all align, entries are higher probability and whipsaws are reduced.
📈 Example Trade Walkthrough
Scenario: 5-minute chart, ADX threshold = 20.
Supertrend turns green → trend bias is bullish.
Price consolidates inside the yellow EMA Band.
ADX rises above 20 → trend momentum confirmed.
Price closes above the green EMA Band after retesting the band as support.
Entry triggered on candle close, stop below band, target based on risk-reward.
Exit when Supertrend flips red or ADX momentum drops.
This sequence prevents premature entries, keeps trades aligned with trend, and avoids ranging markets.
🎯 Key Features
✅ Multi-layered confirmation for precision trading
✅ Built-in no-trade zone filter
✅ Fully customizable parameters
✅ Clean visuals for quick decision-making
⚠ Disclaimer: This is Version 1. Educational purposes only. Always use with risk management.
Market Structure (DeadCat)🌟 Market Structure (DeadCat) - Indicator Overview 🌟
The Market Structure (DeadCat) indicator plots swing highs and lows (HH, HL, LH, LL) using pivot points, helping you spot uptrends, downtrends, and potential reversals. Perfect for traders who use market structure.
🌟 Key Features 🌟
🔹 Swing Point Labels
HH (Higher High): Signals uptrend strength.
HL (Higher Low): Marks bullish support.
LH (Lower High): Hints at weakening uptrend or reversal.
LL (Lower Low): Confirms downtrend momentum.
🔹 Trend Detection
Uptrend: Tracks HH/HL for bullish momentum.
Downtrend: Tracks LH/LL for bearish momentum.
Waits for breaks of prior HH/HL or LH/LL to confirm new swing points, ensuring reliable signals. 🔄
🔹 Customizable Labels
Adjust label text color (default: black) to suit your chart. Supports up to 500 labels for a clean, focused view. 🖌️
🌟 Indicator Settings 🌟
Swing Length: Fixed at 20 bars (left) and 2 bars (right) for pivot detection.
Label Color: Customize text color for better visibility.
Dual Vwap on IntradayIndicator Name: Dual VWAP on Intraday
Version: Pine Script v5
Description
This indicator plots two separate VWAP (Volume Weighted Average Price) lines on intraday charts, helping traders identify intraday trend bias and potential support/resistance zones.
The script is designed exclusively for intraday timeframes and will stop execution if used on daily or higher intervals.
🔍 How It Works
VWAP Calculation
Uses a custom function that calculates VWAP fresh for each trading session.
VWAP #1: Based on hl2 (average of high and low).
VWAP #2: Based on high price.
Dynamic Color Coding
The VWAP lines change color if the percentage change from the previous bar exceeds ±0.5%, signaling notable short-term volatility.
Otherwise, they retain their default colors:
Blue: VWAP (hl2 source)
Orange: VWAP (High source)
Intraday-Only Restriction
Prevents accidental use on higher timeframes to maintain accuracy.
📈 How to Use
Trend Confirmation: Both VWAPs above price → Bearish bias; both below → Bullish bias.
Support/Resistance: VWAP lines often act as strong intraday support or resistance.
Momentum Shift: Watch for price crossing either VWAP with strong candle bodies for potential reversals or breakouts.
Volatility Alerts: Darkened VWAP line indicates an intraday percentage change greater than 0.5%, signaling increased momentum.
⚠️ Notes
Works only on intraday timeframes (1m, 5m, 15m, etc.).
Best paired with volume and price action analysis.
DXY Opening Zones - FixedFull Description:
Overview:
This indicator automates the identification of DXY (Dollar Index) opening zones, a cornerstone of the Funded Trader Academy's "Dixie Open" strategy. It marks the critical gap between market close and open, which acts as a magnetic attraction level for price action throughout the trading day.
Key Features:
✅ Automatic Gap Detection: Identifies opening gaps between market close (6:00 PM EST) and open (7:45 PM EST Sunday, 7:45 PM Mon-Thu)
✅ Smart Zone Expansion: Automatically expands zones when gaps are smaller than 20 pips to include prior candle highs/lows for better trading ranges
✅ Session Highlighting: Visual overlays for London (3 AM - 12 PM EST) and New York (8 AM - 5 PM EST) sessions
✅ Phantom Candle Filter: Ignores glitch/phantom candles smaller than 2 pips to prevent false zones
✅ Time-Based Zone Extension: Zones automatically extend to 5 PM EST (US market close) for full-day relevance
✅ 15-Minute Chart Optimization: Specifically designed for the 15-minute timeframe where the strategy performs best
✅ DXY-Only Protection: Built-in safeguards ensure the indicator only works on Dollar Index symbols
Trading Strategy Context:
The DXY Opening Level strategy capitalizes on the market's tendency to return to opening gaps, offering approximately 70-75% win rate when traded correctly. Best entries occur during London session (after 2:30 AM EST) when volume increases.
Ideal For:
Forex traders using DXY correlation strategies
Mean reversion and gap trading enthusiasts
Traders seeking high-probability setups with defined risk
Those following the Funded Trader Academy methodology
Settings Explained:
Zone Color: Customize the visual appearance of zones
Expand Zone Threshold: Adjust when zones should expand (default 20 pips)
Phantom Filter: Set minimum candle size to consider valid (default 2 pips)
Session Display: Toggle London/NY session backgrounds
Debug Mode: View detailed gap measurements and timing information
Important Notes:
Must be used on 15-minute DXY/Dollar Index charts
Zones mark attraction levels, not direct entry points
Always wait for valid entry signals (engulfing, pin bar, 3-bar reversal)
Trade correlated forex pairs, not DXY directly
Best results during London session (2:30 AM - 12 PM EST)
Risk Disclaimer:
This indicator identifies potential trading zones based on historical patterns. Always use proper risk management and never risk more than you can afford to lose. Past performance does not guarantee future results.
Hull Moving Average Quantum Pro - Advanced Trading SystemThe Hull Moving Average Quantum Pro is a next-generation technical analysis tool that combines the legendary smoothness of Alan Hull's HMA formula with advanced quantum field visualization technology. This professional-grade indicator features three synchronized Hull Moving Average periods working in harmony to identify high-probability trading opportunities.
🎯 KEY FEATURES:
• Multi-Timeframe HMA Confluence - Triple HMA system (9, 21, 55 periods) for comprehensive trend analysis
• Quantum Field Visualization - Fibonacci-based dynamic support/resistance bands with 0.618, 1.0, and 1.618 ratios
• Energy Flow Momentum - Real-time visual representation of market momentum and directional bias
• Confluence Zone Detection - Automatically highlights areas where multiple HMAs converge for high-probability setups
• Professional Holographic Dashboard - Real-time trend strength, momentum, and market status display
• Three Visual Themes - Dark Intergalactic (Quantum Trading), Light Minimal (Clean Charts), Pro Modern (Low Saturation)
⚡ WHAT MAKES IT UNIQUE:
Unlike traditional moving average indicators, the HMA Quantum Pro eliminates lag while maintaining smoothness, providing traders with faster signals without sacrificing reliability. The quantum field visualization adds a new dimension to price action analysis by creating dynamic zones that adapt to market volatility.
📊 PERFECT FOR:
• Day Trading & Scalping - Fast HMA (9) provides quick entry/exit signals
• Swing Trading - Medium HMA (21) confirms trend continuation
• Position Trading - Slow HMA (55) identifies major trend changes
• All Markets - Forex, Stocks, Crypto, Futures, Indices
🔧 ADVANCED SETTINGS:
• Customizable HMA periods for any trading style
• Adjustable confluence threshold for precision filtering
• Visual intensity control for optimal chart clarity
• Field transparency settings for multi-indicator setups
💡 HOW TO USE:
1. Strong Bullish Signal - All three HMAs aligned upward with price above quantum fields
2. Strong Bearish Signal - All three HMAs aligned downward with price below quantum fields
3. Confluence Zones - High probability reversal/continuation areas
4. Energy Flow - Confirms momentum direction and strength
⭐ FREE VERSION FEATURES:
This free version includes all visual features and calculations. Premium version (coming soon) will add advanced alerts, multi-timeframe analysis, and AI-powered trade suggestions.
Created by professional traders for serious market participants. The Hull Moving Average formula was created by Alan Hull to reduce lag while maintaining smoothness - this indicator enhances that foundation with modern visualization technology.
RSI Z-score | Lemniscuss🧠 Introducing RSI Z-Score (RSI-Z) by Lemniscuss
🛠️ Overview
RSI Z-Score (RSI-Z) is a momentum-based market condition detector that transforms the classic Relative Strength Index (RSI) into a standardized volatility framework.
By applying Z-Score normalization to the RSI, this tool allows traders to identify statistically significant deviations in momentum — cutting through noise and highlighting high-probability turning points.
RSI-Z is optimized for trend inflection detection and overextension spotting, providing both visual clarity and actionable trade signals with dynamic labeling and optional bar coloring.
🔍 How It Works
1️⃣ RSI Foundation
The system starts with a standard RSI calculation on a user-defined source and length (default: 45).
2️⃣ Z-Score Normalization
The RSI values are standardized by subtracting their mean and dividing by the standard deviation over the same lookback.
This converts RSI into a statistical measure — revealing how many standard deviations current momentum is from its mean.
3️⃣ Threshold Logic
Two customizable thresholds define actionable zones:
• Long Threshold → Signals bullish momentum shifts when crossed upward
• Short Threshold → Signals bearish momentum shifts when crossed downward
4️⃣ Signal State Tracking
A state variable locks in a bias (Long / Short / Neutral) until an opposing trigger appears, ensuring clear and consistent market bias mapping.
✨ Key Features
🔹 Statistically Driven Momentum Detection — Moves beyond fixed RSI overbought/oversold levels by using standard deviations for adaptive accuracy.
🔹 Customizable Thresholds — Fine-tune long/short triggers for different volatility environments.
🔹 Clear Visual Feedback — Candle coloring and signal labels make trade setups instantly recognizable.
🔹 Overlay-Friendly — Works directly on your main chart or in a separate pane.
⚙️ Custom Settings
• Source: Price stream for RSI calculation (default: close)
• RSI Length: Lookback period for RSI & Z-Score (default: 45)
• Long Threshold: Z-score value for bullish signal (default: 1)
• Short Threshold: Z-score value for bearish signal (default: -1.9)
• Long/Cash Signal Labels: Toggle for "Long"/"Short" markers
• Bar Coloring: Toggle for trend-based candle coloring
📌 Trading Applications
✅ Trend Reversals → Spot statistically significant shifts in momentum before traditional RSI signals trigger
✅ Overextension Monitoring → Identify when momentum has deviated too far from the mean
✅ Mean Reversion Setups → Use extreme Z-score values as potential reversion points
✅ Bias Confirmation → Combine with trend tools for higher conviction entries/exits
📌 Conclusion
RSI-Z by Lemniscuss offers a clean, statistics-backed upgrade to the classic RSI.
By framing momentum in standard deviation terms, it empowers traders to separate normal fluctuations from truly significant market moves — making it a valuable tool for both trend traders and mean reversion specialists.
🔹 Summary Highlights
1️⃣ Statistical upgrade to RSI for higher-quality signals
2️⃣ Threshold-based, customizable long/short triggers
3️⃣ Visual candle coloring & signal labels for clarity
4️⃣ Adaptable to trend, swing, or intraday strategies
📌 Disclaimer: Past performance is not indicative of future results. No indicator guarantees profitability — always test and manage risk appropriately.
8 EMA ScannerThis script allows you to see the market sentiment with a quick glance. If price is above the 8EMA, the background will be shaded green and if price is below the 8EMA, it will be red.
BTCUSDT Correlation TableThis indicator calculates and displays the correlation between the current chart’s asset and Bitcoin (BTCUSDT) over a selected period. The correlation is shown as a percentage in a compact table on the chart.
Key features:
Customizable BTC symbol – default is BINANCE:BTCUSDT.
Adjustable correlation period – set the number of bars used for correlation calculation.
Color-coded output:
Green for strong positive correlation (above +80%)
Red for strong negative correlation (below –80%)
Blue for neutral correlation
Use this tool to quickly assess whether your asset is moving in sync with Bitcoin, inversely, or independently.
Real-Time FTFC Dashboard (Styled)Full Time Frame Continuity dashboard that monitors real-time market direction across multiple timeframes for any stock, ETF, or index. Uses green, red, and pause emojis to visually indicate bullish, bearish, or inactive periods, helping traders quickly assess overall market alignment.