Rank Correlation Index (RCI) with EMA [Point Algo]📌 Rank Correlation Index (RCI) with EMA – Spot Overbought & Oversold Zones with Ease
This tool helps traders quickly identify overbought and oversold market conditions, along with potential momentum shifts.
How to use:
Above 80 → Overbought zone – watch for pullback or reversal.
Below -80 → Oversold zone – watch for bounce or reversal.
Crossing above 0 → Possible bullish momentum.
Crossing below 0 → Possible bearish momentum.
Who is it for?
✅ Day traders spotting intraday reversals
✅ Swing traders timing entries & exits
✅ Beginners wanting a simple, visual market strength tool
💡 Works on stocks, forex, crypto, and indices. Use alone or with other confirmations like support/resistance.
Göstergeler ve stratejiler
ATAI Triangles — Volume-Based & Price Pattern Analysis (v1.01)ATAI Triangles — Volume-Based & Price Pattern Analysis (v1.01)
Overview
ATAI Triangles identifies two synchronized triangle structures — Hi-Lo-Hi (HLH) and Lo-Hi-Lo (LHL) — and analyzes them both geometrically and volumetrically. For each triangle, volume is split between its two legs (segments), providing interpretable insights into buyer vs seller activity along each path.
The idea is that certain geometric shapes, when paired with volume distribution on each leg, can reveal patterns worth exploring. Users are encouraged to share their observations and interpretations in the TradingView comments section so that more aspects of these triangle combinations can be discovered collectively.
Extra (for fun)
For a bit of entertainment, we’ve included a symbolic “hexagram” glyph that appears when both triangle types align in a particular way — it’s just a visual nod to geometry and has no predictive or trading value.
Interface & data clarity
- Inputs and parameters are organized by function (pattern geometry, volume analysis, visuals, HUD, labels).
- Each input includes tooltips explaining its purpose, units, and possible effects on calculations.
- All on-chart objects (polylines, labels, connectors) are named and colored to reflect their role, with volume values formatted in engineering notation (K, M, B).
- HUD columns and label texts use concise terms and consistent units, so that every displayed value is directly traceable to a calculation in the code.
- Daily and lower-timeframe volume series are clearly separated, with update logic documented to indicate intrabar provisional values vs finalized bar-close values.
Usage notes
Designed to be used alongside other indicators and chart tools for context; it is not a standalone signal generator.
All Buy/Sell volumes are absolute (non-negative); Δ = Buy − Sell.
Intrabar values update live and finalize at bar close (no repaint after close).
Disclaimer
For research, discussion, and educational purposes only. This is not financial advice and does not guarantee any outcome. Trade at your own risk.
0DTE First-Three-Bar Classifier (SPY 10m)This indicator marks the first candle on a 10 minute chart. If the second candle ends outside the range of the first candle indicantes direction or neutrality. Third candle serves as comfirmation.
Lines by DannyLines made by me to help me trade and see if there are good trends or bad ones or breakdowns or breakouts
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.
Session HL + Candles + AMD (Nephew_Sam_) copyi want to test and see if i can apply this script to topstepx if i publish it. all credits to Nephem_Sam_) Great indicator!
SAMC's Keltner Oscillator • Mark 3A high-signal oscillator that highlights momentum shifts and potential volatility expansions.
It blends Keltner Channels with Bollinger Bands to visualize compression (“squeeze”) and release phases with a clear, color-coded histogram.
its pretty straightfrwd but:
Independent lengths/multipliers for BB & KC so you can fit any symbol or TF, so customizable.
Visual schemes: i made some templates u can toggle from and i named them :
Aurora, Matrix, Synthwave,
Ocean, Fire, Midnight,
Electric, Poison, Solar, Glacier.
Spot trends — A sustained run of same-color bars supports continuation.
Catch reversals — A color flip near the zero line often marks a momentum turn.
Read the squeeze — Flat/short bars around zero + tight BB guides suggest low volatility; a burst in bar size with a decisive color often precedes a strong move.
i used a toggle switch for :
Keltner: Length, Mult-1, Mult-2, Source.
Bollinger: Length, Multiplier, Source, “Always Show BB” toggle.
Style: Color scheme, “Use palette on bars,” histogram glow on/off, line transparency.
© Drsamc — CH-ARC series.
Educational use only; not financial advice.
edwinbabani indicatorLiquidity of the markets like stop losses. aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
Relative Volatility Mass [SciQua]The ⚖️ Relative Volatility Mass (RVM) is a volatility-based tool inspired by the Relative Volatility Index (RVI) .
While the RVI measures the ratio of upward to downward volatility over a period, RVM takes a different approach:
It sums the standard deviation of price changes over a rolling window, separating upward volatility from downward volatility .
The result is a measure of the total “volatility mass” over a user-defined period, rather than an average or normalized ratio.
This makes RVM particularly useful for identifying sustained high-volatility conditions without being diluted by averaging.
────────────────────────────────────────────────────────────
╭────────────╮
How It Works
╰────────────╯
1. Standard Deviation Calculation
• Computes the standard deviation of the chosen `Source` over a `Standard Deviation Length` (`stdDevLen`).
2. Directional Separation
• Volatility on up bars (`chg > 0`) is treated as upward volatility .
• Volatility on down bars (`chg < 0`) is treated as downward volatility .
3. Rolling Sum
• Over a `Sum Length` (`sumLen`), the upward and downward volatilities are summed separately using `math.sum()`.
4. Relative Volatility Mass
• The two sums are added together to get the total volatility mass for the rolling window.
Formula:
RVM = Σ(σ up) + Σ(σ down)
where σ is the standard deviation over `stdDevLen`.
╭────────────╮
Key Features
╰────────────╯
Directional Volatility Tracking – Differentiates between volatility during price advances vs. declines.
Rolling Volatility Mass – Shows the total standard deviation accumulation over a given period.
Optional Smoothing – Multiple MA types, including SMA, EMA, SMMA (RMA), WMA, VWMA.
Bollinger Band Overlay – Available when SMA is selected, with adjustable standard deviation multiplier.
Configurable Source – Apply RVM to `close`, `open`, `hl2`, or any custom source.
╭─────╮
Usage
╰─────╯
Trend Confirmation: High RVM values can confirm strong trending conditions.
Breakout Detection: Spikes in RVM often precede or accompany price breakouts.
Volatility Cycle Analysis: Compare periods of contraction and expansion.
RVM is not bounded like the RVI, so absolute values depend on market volatility and chosen parameters.
Consider normalizing or using smoothing for easier visual comparison.
╭────────────────╮
Example Settings
╰────────────────╯
Short-term volatility detection: `stdDevLen = 5`, `sumLen = 10`
Medium-term trend volatility: `stdDevLen = 14`, `sumLen = 20`
Enable `SMA + Bollinger Bands` to visualize when volatility is unusually high or low relative to recent history.
╭───────────────────╮
Notes & Limitations
╰───────────────────╯
Not a directional signal by itself — use alongside price structure, volume, or other indicators.
Higher `sumLen` will smooth short-term fluctuations but reduce responsiveness.
Because it sums, not averages, values will scale with both volatility and chosen window size.
╭───────╮
Credits
╰───────╯
Based on the Relative Volatility Index concept by Donald Dorsey (1993).
TradingView
SciQua - Joshua Danford
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.
BE-Indicator Aggregator toolkit [Enhanced]█ Overview:
BE-Indicator Aggregator toolkit is an enhanced version of the original toolkit which is built for those we rely on taking multi-confirmation from different indicators available with the traders.
The enhanced version of the Toolkit aid's traders in understanding their custom logic for their trade setups and provides detailed level the results on how it performed over the past considering additional set of parameters such as:
Session Inputs
Parallel Entry | Single Entry
Pyramid Entry | Re - Entry
Single | Multiple Exit Levels, Exit On Opposite Signal
Trailing Of Stop Loss (Liberal & Aggressive Trails)
Extend Target Levels (Locking Profit vs Moving SL to Cost) with Trailing SL
█ Technical Enhancement:
This version is equipped to understand multiple strategies / trade setup for long and short keeping the performance intact. Its important to note that Custom Builder requires text input and hence you are expected to balance between text heavy input vs creative construct of strategy.
toolkit in the backed, equipped with lazy loading features to check the logics and by which performance is kept high at all the time. Depending on the inputs toolkit decides to check for the setups on eligible bars.
█ Additional Features:
Calculated Variables: These are Inner variables which are and can be part of each parameter. These variables can help in conducting mathematical operations before accessing if the logic.
Supported Operating symbols : +, -, *, /, %, (-)
'Sample code to identify HangingMan Candle
VAR-HangingMan:AND:O|L|C, O - L|G|H - O
'O - L & H - O are the calculated variables
Note: Ensure to use space between each of the source values to understand that it requires calculation before pushing for logical assessment.
Another Example: Check if HM candle occurred at Moving average line loaded in Source 1 of the setting.
VAR-HangingMan:AND:O|L|C, O - L|G|H - O
'Check if Low is Less than or Equal to MA line value
VAR-HMClose2MA:AND:ES1 - L|GE|0, HangingMan
'Above Line can be also written as "VAR-HMClose2MA:AND:L (-) ES1|GE|0, HangingMan".
'Enclosing operating symbol with parenthesis converts the output as absolute values.
'Check if Previous Candle was Red and HM candle touched the MA line to trade Reversal Setup
VAR-TwoCandleChk:AND:O |G|C , HMClose2MA
Scope Variables: VAR- keyword can be used to define Logical Conditions as well as independent condition. Defining Rules for VAR- still remain the same. Indicator does the bifurcation. Its better to Map your setups to each of Variable and finally call One L- or S- Condition with OR logic.
A Sample Diagram:
VAR-CriteriaCheck1:Code1
VAR-CriteriaCheck2:AND:Code1, Code2
VAR-CriteriaCheck3:OR:Code1, Code2, Code3
VAR-LongStrategy1:AND:CriteriaCheck1, CriteriaCheck2
VAR-LongStrategy2:OR:CriteriaCheck3, CriteriaCheck2
L-OR:LongStrategy1, LongStrategy2
Note: Search Prioritization starts from Left to Right. LongStrategy1 will be first searched and if not then only it searches for next Strategy. if LongStrategy1 is satisfied It wont search further.
WASTRUE & ISTRUE: These operations can now be part of VAR- keyword.
Note: Ensure to check the Output on the chart. Sometimes it may not work as expected as it can cause repaint and requires to run on each bar for accuracy, however toolkit is not calculating strategy inputs on each bar (basis the input) hence desired results may not come.
Customized Inputs: .
1. Parallelism: Toolkit treats non continuous signals as each Trade. Hence if your signal is valid on alternative bar. toolkit takes trade on alternative Bar whether previous trade is running or not. Toolkit analyses the performance of each trade separately.
You can turn off this method of calculation by enabling "Single Trade at a Time" so that No fresh signal is traded until the previous trade is closed.
2. TP Levels: Customization of TP levels is possible under Input Settings.
3. Independent SL & TGT Levels: Can define Separate SL & TGT levels for Long and Short Trades.
4. Algo Friendly: You can deploy Algo Alerts via Standard Alerts or Via Add Alerts on Indicator Method. Placeholders are made available to support any type of trading. You can customize on when the trading Alerts to be fired via Session Control option.
IMPORTANT Note for Scalpers using Standard Alert (Fx): If you Keep TGT levels very tight along with multiple TP level, on wild movements / Gaps --- if next tick upon Entry directly hits your TGT level, Initial TP level alerts will hit first and Next TP level alert will have 1 - 2 sec delay and so on until TGT alert is fired.
█ Understanding Results Table:
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for our documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. I am not responsible for any losses you may incur. Please invest wisely.
Happy to receive suggestions and feedback in order to improve the performance of the indicator better.
New London Breakout Structure by AleThe "New London Breakout Structure" indicator is designed to identify structural breakout opportunities during the London session.
It combines market structure analysis, Change of Character (CHOCH) detection, and dynamic risk management using ATR.
MAIN FUNCTIONALITY:
• Defines a specific trading window (e.g., 04:00 to 05:00, user-adjustable).
• Identifies trend direction through recent high/low breakouts.
• Detects trend reversals with CHOCH signals.
• Applies filters to avoid very tight ranges.
• Calculates Stop Loss (SL) and Take Profit (TP) using ATR and a customizable Risk/Reward ratio.
• Visually displays entry levels, SL, TP, and the active session period on the chart.
HOW TO USE:
1. Set your desired session start and end times according to your time zone.
2. Adjust ATR length, multiplier, and R:R to match your risk profile.
3. Enable alerts to receive notifications when entry conditions are met.
RECOMMENDATIONS:
• Designed for currency pairs and high-liquidity assets.
• Works best on lower timeframes (1m to 15m) during the London session.
• This is an original, closed-source script with no third-party code reuse.
Note: The visual elements (lines and labels) are intended to help identify key zones and signals generated by the system.
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.
ETH Perp-Spot PremiumETH Perp–Spot Premium (Composite)
Tracks the percentage premium or discount of ETH perpetual futures versus a composite spot basket across major exchanges (Binance, Bybit, OKX, Bitfinex, Bitstamp, Coinbase, Kraken).
The histogram plots the current premium %, with a Basis MA for trend reference. EMA crossovers are marked on-chart and can trigger alerts, helping to spot momentum shifts between contango and backwardation. A built-in table shows live composite perp and spot prices along with the current basis.
Use it to:
• Monitor changes in ETH perp–spot price relationship
• Identify shifts from discount to premium (and vice versa)
• Support directional or mean-reversion strategies
Educational purposes only.
Bot Scalping Camarilla Pivot (Sesuai TradingView)auto buy in S1,S2,S3, SL=S4, TP=R1
auto sell in R1,R2,R3, SL=R4, TP=S1
Market Open Impulse [LuciTech]Market Open Impulse Strategy
The Market Open Impulse Strategy is designed to capture significant price movements that occur at market open (2:30 PM UK time). This strategy identifies impulsive candles with high volatility and enters trades based on the direction and strength of the initial market reaction.
How It Works:
The strategy activates exclusively at 2:30 PM UK time during market open sessions. It uses ATR-based volatility filtering to identify impulsive candles that exceed a configurable multiplier (default 1.5x ATR). Long entries are triggered when an impulsive candle closes above its midpoint and above the opening price, while short entries occur when an impulsive candle closes below its midpoint and below the opening price.
Risk management is handled through precise stop loss placement at the opposite extreme of the impulse candle (high for short positions, low for long positions). Take profit levels are calculated using a configurable risk-reward ratio with a default setting of 3:1. Position sizing is automatically calculated based on the percentage risk per trade, and an optional breakeven feature can move the stop loss to the entry price at specified profit levels.
The strategy incorporates time-based filtering to ensure trades only occur during the specified market open window. Visual indicators highlight qualifying impulsive candles and plot all entry and exit levels for clear trade management. The system offers flexible risk management with customizable risk percentage, risk-reward ratios, and breakeven settings, along with multiple stop loss calculation methods including both ATR-based and candle-based options.
Key Parameters:
Market open timing is fully configurable through hour and minute settings for strategy activation. The impulse ATR multiple sets the minimum volatility threshold required for trade qualification, with visual highlighting available for qualifying setups. Risk management parameters include the percentage of account equity to risk per trade, target profit multiples relative to initial risk, and the profit level threshold for breakeven stop loss adjustment. Users can choose between ATR-based or candle-based stop loss calculation methods and adjust technical parameters for volatility calculation including ATR length and smoothing methods.
Applications:
This strategy is particularly effective for trading market open volatility and momentum, capturing institutional order flow during key timing windows, executing short-term swing trades on significant price impulses, and trading markets with predictable opening patterns and consistent volatility characteristics.
Zero Lag LSMA 3-Color# Zero Lag LSMA 3-Color Indicator
## Overview
The Zero Lag LSMA (ZLSMA) 3-Color is an advanced trend-following indicator that reduces the lag inherent in traditional Linear Regression Moving Averages (LSMA). This indicator provides clear visual signals through a color-coded system and dot markers to identify trend changes with minimal delay.
## What is Zero Lag LSMA?
Zero Lag LSMA is calculated by applying the Linear Regression Moving Average twice and then compensating for the lag:
1. **First LSMA**: Calculate LSMA of the price data
2. **Second LSMA**: Calculate LSMA of the first LSMA
3. **Zero Lag Calculation**: ZLSMA = LSMA + (LSMA - LSMA2)
This method significantly reduces the delay while maintaining the smoothness of the trend line.
## Features
### Color-Coded Trend System
- **Fluorescent Green** (`RGB(0, 255, 0)`): Uptrend - ZLSMA is rising
- **Fluorescent Red** (`RGB(255, 20, 60)`): Downtrend - ZLSMA is falling
- **Gray**: Sideways/Neutral - No clear directional bias
### Trend Change Markers
- **Tiny dots** appear at the exact moment when the trend direction changes
- **Green dots**: Mark the beginning of an uptrend
- **Red dots**: Mark the beginning of a downtrend
### Customizable Parameters
- **Length**: Period for ZLSMA calculation (default: 20)
- **Line Width**: Thickness of the ZLSMA line (default: 2)
- **Show/Hide Toggle**: Option to display or hide the indicator
## Trading Applications
### Trend Identification
- **Green line**: Look for long opportunities
- **Red line**: Look for short opportunities
- **Gray line**: Consider range-bound strategies
### Entry Signals
- **Dot markers** provide precise entry points when trend changes occur
- Green dots can signal potential buy entries
- Red dots can signal potential sell entries
### Trend Confirmation
- Use ZLSMA color changes to confirm other technical analysis signals
- The reduced lag helps traders enter trends earlier than traditional moving averages
## Advantages Over Traditional Moving Averages
1. **Reduced Lag**: Responds faster to price changes than standard moving averages
2. **Clear Visualization**: Color-coding makes trend direction immediately apparent
3. **Precise Timing**: Dot markers highlight exact trend change moments
4. **Smooth Operation**: Maintains smoothness while reducing whipsaws
## Best Practices
### Timeframe Usage
- Works effectively on all timeframes
- Higher timeframes provide more reliable signals
- Lower timeframes offer more trading opportunities but may have more noise
### Risk Management
- Always use proper stop-loss levels
- Consider the overall market context
- Combine with other technical analysis tools for confirmation
### Settings Optimization
- **Shorter periods** (10-15): More sensitive, faster signals
- **Longer periods** (25-50): More stable, fewer false signals
- **Standard period** (20): Good balance between sensitivity and stability
## Alert Conditions
The indicator includes built-in alert conditions for:
- ZLSMA turning upward (trend change to bullish)
- ZLSMA turning downward (trend change to bearish)
## Compatibility
- **Platform**: TradingView
- **Script Version**: Pine Script v6
- **Chart Type**: Works on all chart types
- **Markets**: Suitable for Forex, Stocks, Crypto, Commodities, and Indices
## Disclaimer
This indicator is for educational and informational purposes only. It should not be considered as financial advice. Always conduct your own research and consider your risk tolerance before making trading decisions. Past performance does not guarantee future results.
EMA 10/50/100/200EMA 10/50/100/200 — Multi‑Timeframe Trend Tracking
This indicator plots four commonly used Exponential Moving Averages (EMAs) — 10, 50, 100, and 200 periods — directly on the price chart to help traders quickly identify market trends, momentum shifts, and potential areas of dynamic support and resistance.
How It Works
EMA 10 (White) — Ultra‑short‑term trend; reacts quickly to price changes and is useful for scalping or identifying momentum bursts.
EMA 50 (Lime) — Short‑ to medium‑term trend indicator; often used to spot trend continuation or corrections.
EMA 100 (Yellow) — Medium‑term view; filters noise and shows the broader direction.
EMA 200 (Red) — Long‑term trend benchmark; widely recognized as a key institutional level.
Trading Applications
Trend Confirmation: When shorter EMAs are positioned above longer ones, the trend is bullish; the opposite alignment signals bearishness.
Dynamic Support & Resistance: EMAs often act as reaction zones where price bounces or rejects.
Momentum Shifts: EMA crossovers can indicate early trend changes.
Best Use Cases
Works on all markets (crypto, forex, stocks, indices).
Suitable for scalping, swing trading, and position trading depending on chart timeframe.
Combine with volume, price action, or oscillators for stronger confirmations.
⚠ Note: This indicator is intended for educational purposes only. Always apply proper risk management before trading.
Matt Klemczak 15 M breakout v6.1This indicator identifies consolidation ranges on the 15-minute timeframe using a fixed initial lookback period and ATR-based range checks. It draws boxes around valid consolidations (minimum bars required) and detects breakouts with filters for volume, rising ADX, trend alignment, trading hours, and avoidance of higher highs/lower lows. Alerts trigger on confirmed breakouts, highlighting potential trend continuations.
