Keltner Hull Suite [QuantAlgo]🟢 Overview
The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes.
🟢 How It Works
The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness:
hullMA = ta.hma(priceSource, hullPeriod)
The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process:
tr = ta.tr(true)
smoothTR = ta.ema(tr, keltnerPeriod)
doubleSmooth = ta.ema(smoothTR, keltnerPeriod)
deviation = doubleSmooth * keltnerMultiplier
Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation:
upperBound = hullMA + deviation
lowerBound = hullMA - deviation
The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound:
if upperBound < trendLine
trendLine := upperBound
if lowerBound > trendLine
trendLine := lowerBound
Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction:
trendUp = trendLine > trendLine
trendDown = trendLine < trendLine
longSignal = trendState == 1 and trendState != 1
shortSignal = trendState == -1 and trendState != -1
The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction.
🟢 How to Use This Indicator
▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment.
▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions.
▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration.
▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring.
▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
移動平均線
Weighted KDE Mode🙏🏻 The ‘ultimate’ typical value estimator, for the highest computational cost @ time complexity O(n^2). I am not afraid to say: this is the last resort BFG9000 you can ‘ever’ get to make dem market demons kneel before y’all
Quickguide
pls read it, you won’t find it anywhere else in open access
When to use:
If current market activity is so crazy || things on your charts are really so bad (contaminated data && (data has very heavy tails || very pronounced peak)), the only option left is to use the peak (mode) of Kernel Density Estimate , instead of median not even mentioning mean. So when WMA won’t help, when WPNR won’t help, you need this thing.
Setting it up:
Interval: choose what u need, you can use usual moving windows, but I also added yearly and session anchors alike in old VWAP (always prefer 24h instead of Session if your plan allows). Other options like cumulative window are also there.
Parameters: this script ain't no joke, it needs time to make calculations, so I added a setting to calculate only for the last N bars (when “starting at bar N” is put on 0). If it’s not zero it acts as a starting point after which the calculations happen (useful for backtesting). Other parameters keep em as they are, keep student5 kernel , turn off appropriate weights if u apply it to other than chart data, on other studies etc.
But instead of listening to me just experiment with parameters and see what they change, would take 5 mins max
Been always saying that VWAP is ish, not time-aware etc, volume info is incorporated in a lil bit wrong way… So I decided not just to fix VWAP (you can do it yourself in 5 mins), but instead to drop there the Ultimate xD typical value estimator that is ever possible to do. Time aware, volume / inferred volume aware, resistant to all kinds of BS. This is your shieldwall.
How it works:
You can easily do a weighted kernel density estimation, in our case including temporal and intensity information while accumulating densities. Here are some details worth mentioning about the thing:
Kernels are raw (not unit variance), that’s easier to work with later.
h_constants for each kernel were calculated ^^ given that ^^ with python mpmath module with high decimal precision.
In bandwidth calculation instead of using empirical standard deviation as a scaler, I use... ta.range(src, len) / math.sqrt(12)
...that takes data range and converts it to standard deviation, assuming data is uniformly distributed. That’s exactly what we need: a scaler that is coherent with the KDE, that has nothing to do with stdevs, as the kernels except for gaussian ones (that we don’t even need to use). More importantly, if u take multiple windows and see over time which distro they approach on the long term, that would be the uniform one (not the normal one as many think). Sometimes windows are multimodal, sometimes Laplace like etc, so in general all together they are uniform ish.
The one and only kernel you really need is Student t with v = 5 , for the use case I highlighted in the first part of the post for TV users. It’s as far as u can get until ish becomes crazy like undefined variance etc. It has the highest kurtosis = 9 of all distros, perfect for the real use case I mentioned. Otherwise, you don’t even need KDE 4 real, but still I included other senseful kernels for comparison or in case I am trippin there.
Btw, don’t believe in all that hype about Epanechnikov kernel which in essence is made from beta distribution with alpha = beta = 2, idk why folk call it with that weird name, it’s beta2 kernel. Yes on papers it really minimises AMISE (that’s how I calculated h constants for all dem kernels in the script), but for really crazy data (proper use case for us), it ain't provides even ‘closely’ compared with student5 kernel. Not much else to add.
Shout out to @RicardoSantos for inspiration, I saw your KDE script a long time ago brotha, finna got my hands on it.
∞
ZLSMA Cross ATR Targets - Enhanced Trading StrategyZLSMA Cross ATR Targets - Enhanced Trading Strategy
📊 Overview
This indicator combines Zero-Lag Least Squares Moving Average (ZLSMA) crossover signals with ATR-based dynamic risk management to provide precise entry and exit points. Unlike standard moving average crossovers, this system uses a zero-lag implementation to reduce signal delays and incorporates multi-timeframe analysis for improved accuracy.
🎯 What Makes This Script Unique
1. Zero-Lag LSMA Implementation:
Uses a dual-smoothing technique: 2 * SMA(price, length) - SMA(SMA(price, length), length)
This eliminates the typical lag found in standard moving averages
Provides faster reaction to price changes while maintaining smoothness
2. Multi-Timeframe Signal Generation:
Analyzes price action on a higher timeframe (default: 15-min) regardless of chart timeframe
Reduces noise and false signals common in single-timeframe systems
All calculations (ZLSMA, ATR, close price) are synchronized to the signal timeframe
3. Dynamic ATR-Based Risk Management:
Stop Loss: Automatically calculated using ATR multiplier (default: 1.0x)
Take Profit 1: First target at 1.5x ATR (adjustable)
Take Profit 2: Extended target at 3.0x ATR (adjustable)
Risk-Reward ratios are displayed on each trade label for transparency
4. Optional Signal Filters:
Trend Filter: Uses 200 EMA to filter trades - only buys above, sells below (optional)
Volatility Filter: Ensures minimum ATR % to avoid low-volatility false signals (optional)
Both filters can be independently toggled on/off
5. Real-Time Performance Tracking:
Automatically tracks completed trades (TP1, TP2, or SL hits)
Calculates win rate, total P/L, and average P/L per trade
Live P/L displayed for current open position
Performance-based color coding (Green/Blue/Orange/Red)
🔧 How It Works
Signal Generation:
BUY Signal: Triggered when price crosses above ZLSMA on the signal timeframe
SELL Signal: Triggered when price crosses below ZLSMA on the signal timeframe
If filters are enabled, signals are validated against trend direction and volatility conditions
Trade Execution:
Entry price is locked at the close of the crossover bar
SL, TP1, and TP2 are calculated using the ATR value from the signal timeframe
Horizontal lines extend into the future (default: 240 bars) for visual clarity
Labels display all trade parameters including risk-reward ratios
Position Management:
System monitors each bar to detect if price hits SL, TP1, or TP2
Once a target is hit, the trade is marked as complete and statistics update
"Show Only Latest Trade" toggle cleans up historical signals for chart clarity
📈 How to Use
Settings:
Signal Timeframe: Timeframe for ZLSMA and ATR calculations (higher = fewer signals)
ZLSMA Length: Lookback period (100 default, lower = more responsive)
ATR Length: Period for volatility measurement (14 default)
SL/TP Multipliers: Adjust risk-reward profile to your trading style
Filters: Enable/disable trend and volatility filters as needed
Dashboard:
Fixed position (top-right corner) shows:
Current trade status and live P/L
Entry, SL, TP1, TP2 prices
Total performance statistics
Strategy settings summary
Alerts:
Enable alerts in settings to receive notifications on new signals
Each alert includes full trade details (Entry, SL, TP1, TP2)
⚙️ Why This Combination Works
The mashup of ZLSMA, multi-timeframe analysis, ATR-based targets, and optional filters creates a complete trading system:
ZLSMA provides faster signals than traditional moving averages
Higher timeframe reduces noise and improves signal quality
ATR-based targets adapt to current market volatility (no fixed pip targets)
Trend filter keeps you aligned with the bigger picture
Volatility filter avoids choppy, low-conviction setups
Performance tracking allows data-driven strategy optimization
This is not just a combination of existing indicators—it's a complete risk-managed trading framework with built-in analytics.
⚠️ Risk Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Dark Vector ScalpingThe Dark Vector Scalping indicator is a high-frequency trend-following system designed specifically to capture rapid momentum shifts in the market. It combines a staircase-style breakout logic with volatility-adjusted trailing stops to define market direction.
While the underlying math is robust enough for various asset classes, this specific configuration is optimized for scalping operations on 1-minute and 5-minute timeframes. It aims to filter out the "noise" common in lower timeframes while reacting quickly to genuine breakouts.
Core Components
1. The Apex Engine (Staircase Logic) Unlike traditional moving averages that curve with price, this engine uses a "hard" breakout logic. It looks back at a specific number of bars (Sensitivity) to find the highest highs and lowest lows.
Bullish Flip: Occurs when the price closes below the calculated low of the previous trend.
Bearish Flip: Occurs when the price closes above the calculated high of the previous trend.
Trailing Stop: Once a trend is established, a trailing stop line is drawn. This line only moves in the direction of the trend (up for bullish, down for bearish) and never retraces, acting as a ratchet to lock in paper profits.
2. Volatility Normalization To prevent getting stopped out by random market noise (scam wicks), the indicator calculates the Average True Range (ATR). It multiplies this volatility metric by a user-defined deviation factor to determine exactly how far the stop line should be from the current price action.
3. The Hull Moving Average (HMA) Filter The script includes an optional 50-period Hull Moving Average. The HMA is known for being extremely fast and smooth, reducing lag compared to standard moving averages.
Visual Reference: You can plot the line to see the overall macro trend.
Hard Filter: You can enable a "Safety Filter" in the settings. If enabled, the system will only generate Buy signals if the price is above the HMA, and Sell signals if the price is below the HMA.
4. The Dashboard A data panel is located on the chart (customizable position) to provide instant numerical data without needing to calculate levels manually. It displays the current trend state, the exact price of the trailing stop, and the status of the HMA filter.
Settings & Configuration
Sensitivity (Lookback)
Default: 5
This is the primary setting for the Apex Engine. A setting of 5 is the "sweet spot" for 1-minute and 5-minute charts. It allows the system to react very quickly to sudden volume spikes. Increasing this number (e.g., to 10) will make the signals slower and more conservative.
Stop Deviation
Default: 3.0
This controls the "breathing room" for the trade. A value of 3.0 allows for standard volatility on minute charts without triggering a premature exit. Lowering this to 2.0 will result in tighter stops but more false signals.
HMA Filter
Use HMA as Filter? (Default: OFF):
When OFF, the system signals purely on price action breakouts (fastest).
When ON, the system waits for the price to align with the 50-period HMA before signaling (safest, but may delay entry).
How to Interpret Visuals
Candle Colors
Teal/Green: The market is in a Bullish regime.
Red/Pink: The market is in a Bearish regime.
The Line
The solid stepped line represents the hard invalidation point. If price closes beyond this line, the trend is considered over.
Diamond Signals
Light Green Diamond (Below Bar): Confirmed Buy Signal. A new bullish trend has started.
Light Red/Pink Diamond (Above Bar): Confirmed Sell Signal. A new bearish trend has started.
Trading Strategy Guide
The Scalp Entry
Ensure you are on a 1-minute or 5-minute timeframe.
Wait for a signal Diamond to close. Do not enter while the bar is still forming, as the signal may repaint (disappear) if the price retraces before the close.
Long Entry: Enter when a Green Diamond appears and the candle turns Teal.
Short Entry: Enter when a Red Diamond appears and the candle turns Red.
Risk Management
Stop Loss: Your invalidation level is the "Apex Stop" line. You can place your hard stop loss slightly beyond this line.
Take Profit: Because this is a trend-following system, it is often best to hold until the candle color changes, or to take profit at fixed Risk:Reward ratios (e.g., 1:1.5 or 1:2).
The HMA Nuance If you find the market is "choppy" (moving sideways), enable the "Use HMA as Filter" option in the settings. This will force the system to ignore signals that are counter-trend to the longer-term momentum.
Disclaimer
The information provided by the "Dark Vector Scalping" indicator and this accompanying guide is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Trading cryptocurrencies, stocks, and forex involves a high level of risk and may not be suitable for all investors. You could lose some or all of your initial investment.
Renko ScalperWhat it is-
A lightweight Renko Scalper that combines Renko brick direction with an internal EMA trend filter and MACD confirmation to signal high-probability short-term entries. EMAs are used internally (hidden from the chart) so the visual remains uncluttered.
Signals-
Buy arrow: Renko direction turns bullish AND EMA trend up AND MACD histogram positive.
Sell arrow: Renko direction turns bearish AND EMA trend down AND MACD histogram negative.
Consecutive same-direction signals are suppressed (only one arrow per direction until opposite signal).
Visuals-
Buy / Sell arrows (large) above/below bars.
Chart background tints green/red after the respective signal for easy glance recognition.
Inputs:-
Renko Box Size (points)
EMA Fast / EMA Slow
MACD fast/slow/signal lengths
How to use-
Add to chart
Use smaller Renko box sizes for scalping, larger for swing-like entries.
Confirm signal with price action and volume—this indicator is a signal generator, not a full automated system.
Use alerts (built in) to receive Buy / Sell arrow notifications.
Alerts-
Buy Arrow — buySignal
Sell Arrow — sellSignal
Buy Background / Sell Background — background-color state alerts
Recommended settings-
Timeframes: 1m–15m for scalping, 5m for balanced intraday.
Symbols: liquid futures/currency pairs/major crypto.
Disclaimer
This script is educational and not financial advice. Backtest and forward test on a demo account before live use. Past performance is not indicative of future results. Use proper risk management.
Forex Trend Master FollowerThis indicator is based on slow and fast EMA, like regular EMA cross, but updated. It works the best on trendy pairs like EU, and works the best on 4h time frame. It shows where to entry and where to close the position based on slow EMA. It can be used like additional confluence with FTB entry model, and whole strategy.
FRAN CRASH PLAY RULESA script with purely descriptive nature is one that:
• Only describes actions, settings, characters, and events.
• Contains no dialogue, commands, or instructions for execution.
• Does not specify plot decisions, logic, or interactive elements.
• Reads like a detailed narrative blueprint, focusing on what exists or happens rather than what anyone should do.
Algo ۞ Halo 7MAs WonderA complete trend following and important MA crossing tool.
The indicator is self-explanatory. You decide where you want the triggers to go.
Enjoy!
OK A+ Setup Scanner + Score PanelOK A+ Setup Scanner (0–8 Score with Real-Time Panel)
Designed to help swing traders quickly identify leader stocks forming high-probability breakout structures inspired by Oliver Kell’s super-performance methodology. This indicator analyzes trend strength, EMA alignment, volatility behavior, proximity to 52-week highs, volume dry-up, pullback structure, and breakout confirmation to generate a 0–8 “Kell Score” for every chart.
Score 5+ = A+ setup candidate
Score 7–8 = high-quality super-performance structure
Background highlights A+ bars, and a real-time scoring panel displays:
Current Kell Score
Setup quality grade
Trend/EMA alignment pass/fail
Leadership (near highs) pass/fail
Structure (pullback + volume) pass/fail
Humontre - One signal - One direction - No noiseClean trend-following band
Delivers one high-conviction entry per trend change
Zero repaint · Minimal lag
Best performance observed on 4H and higher timeframes
Works on all markets (crypto · forex · indices)
Use at own risk.
Higher Timeframe MA High Low BandsHigher Timeframe Customer MA High Low Bands. There are 3 different Moving Average Parameters Available. Indicator will plot 3 lines of MA Length With Source of High, Close and Low. User can change relevant MA parameters / Show or Hide MA.
Happy Trading
Daily EMA TrendThis show whether price is above or below the set DAILY EMAs that you set. Default is 200, 100, 50 & 20.
CCI Threshold HistogramSynopsis
The Custom CCI Indicator by Simon20cent enhances traditional CCI analysis with adjustable smoothing and a momentum-based histogram. The histogram highlights key thresholds, turning green above +100 and red below –100 to clearly identify strong bullish or bearish momentum. Both the CCI and smoothed CCI lines can be toggled for a cleaner view, making this tool effective for spotting momentum shifts, breakout conditions, and potential entry zones with improved clarity.
AlphaTrend++ offset labelsAlphaTrend++
Overview
The AlphaTrend++ is an advanced Pine Script indicator designed to help traders identify buy and sell opportunities in trending and volatile markets. Building on trend-following principles, it uses a modified Average True Range (ATR) calculation combined with volume or momentum data to plot a dynamic trend line. The indicator overlays on the price chart, displaying a colored trend line, a filled trend zone, buy/sell signals, and optional stop-loss tick labels, making it ideal for day trading or swing trading, particularly in markets like futures (e.g., MES).
What It Does
This indicator generates buy and sell signals based on the direction and momentum of a custom trend line, filtered by optional time restrictions and signal frequency logic. The trend line adapts to price action and volatility, with a filled zone highlighting trend strength. Buy/sell signals are plotted as labels, and stop-loss distances are displayed in ticks (customizable for instruments like MES). The indicator supports standard chart types for realistic signal generation.
How It Works
The indicator employs the following components:
Trend Line Calculation: A dynamic trend line is calculated using ATR adjusted by a user-defined multiplier, combined with either Money Flow Index (MFI) or Relative Strength Index (RSI) depending on volume availability. The line tracks price movements, adjusting upward or downward based on trend direction and volatility.
Trend Zone: The area between the current trend line and its value two bars prior is filled, colored green for bullish trends (upward movement) or red for bearish trends (downward movement), providing a visual cue of trend strength.
Signal Generation: Buy signals occur when the trend line crosses above its value two bars ago, and sell signals occur when it crosses below, with optional filtering to reduce signal noise (based on bar timing logic). Signals can be restricted to a 9:00–15:00 UTC trading window.
Stop-Loss Ticks: For each signal, the indicator calculates the distance to the trend line (acting as a stop-loss level) in ticks, using a user-defined tick size (default 0.25 for MES). These are displayed as labels below/above the signal.
Time Filter: An optional filter limits signals to 9:00–15:00 UTC, aligning with active trading sessions like the US market open.
The indicator ensures compatibility with standard chart types (e.g., candlestick or bar charts) to avoid unrealistic results associated with non-standard types like Heikin Ashi or Renko.
How to Use It
Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView.
Configure Settings:
Multiplier: Adjust the ATR multiplier (default 1.0) to control trend line sensitivity. Higher values widen the stop-loss distance.
Common Period: Set the ATR and MFI/RSI period (default 14) for trend calculations.
No Volume Data: Enable if volume data is unavailable (e.g., for certain forex pairs), switching from MFI to RSI.
Tick Size: Set the tick size for stop-loss calculations (default 0.25 for MES futures).
Show Buy/Sell Signals: Toggle signal labels (default enabled).
Show Stop Loss Ticks: Toggle stop-loss tick labels (default enabled).
Use Time Filter: Restrict signals to 9:00–15:00 UTC (default disabled).
Use Filtered Signals: Enable to reduce signal frequency using bar timing logic (default enabled).
Interpret Signals:
Buy Signal: A blue “BUY” label below the bar indicates a potential long entry (trend line crossover, passing filters).
Sell Signal: A red “SELL” label above the bar indicates a potential short entry (trend line crossunder, passing filters).
Trend Zone: Green fill suggests bullish momentum; red fill suggests bearish momentum.
Stop-Loss Ticks: Gray labels show the stop-loss distance in ticks, helping with risk management.
Monitor Context: Use the trend line and filled zone to confirm the market’s direction before acting on signals.
Unique Features
Adaptive Trend Line: Combines ATR with MFI or RSI to create a responsive trend line that adjusts to volatility and market conditions.
Tick-Based Stop-Loss: Displays stop-loss distances in ticks, customizable for specific instruments, aiding precise risk management.
Signal Filtering: Optional bar timing logic reduces false signals, improving reliability in choppy markets.
Trend Zone Visualization: The filled zone between trend line values enhances trend clarity, making it easier to assess momentum.
Time-Restricted Trading: Optional 9:00–15:00 UTC filter aligns signals with high-liquidity sessions.
Notes
Use on standard candlestick or bar charts to ensure accurate signals.
Test the indicator on a demo account to optimize settings for your market and timeframe.
Combine with other analysis (e.g., support/resistance, volume spikes) for better decision-making.
The indicator is not a standalone system; use it as part of a broader trading strategy.
Limitations
Signals may lag in highly volatile or low-liquidity markets due to ATR-based calculations.
The 9:00–15:00 UTC time filter may not suit all markets; disable it for 24-hour assets like forex or crypto.
Stop-loss tick calculations assume consistent tick sizes; verify compatibility with your instrument.
This indicator is designed for traders seeking a robust, trend-following tool with customizable risk management and signal filtering, optimized for active trading sessions.
This update enhances label customization, clarity, and signal usability while preserving all existing AlphaTrend++ logic. The goal is to improve readability during live trading and allow traders to personalize the visual footprint of entries and stop-loss levels.
Improvements
• Cleaner Label Placement
Labels now maintain consistent spacing from the candle, regardless of volatility or ATR expansion.
• Enhanced Visual Structure
BUY/SELL signals remain bold and clear, while SL ticks use a more compact and optional sizing scheme.
• Better User Control
New UI inputs:
Entry Label Size
SL Label Size
SL Label Offset (Ticks)nces.
Sammy Buy/Sell Signals (OneLine Version)Sammy's buy/sell signals one line version. Very simple to follow what's going up and down.
Vegas & DSLVegas & DSL is a trend identification indicator that combines a trend moving average structure with Dynamic State Logic (DSL). Based on the classic Vegas channel, it uses EMA13, EMA21, EMA144, and EMA169 to depict the short-to-medium-term and medium-to-long-term trend framework of the market. It also introduces high and low bands based on HMA (Hull Moving Average) to determine the strength or weakness of prices within a certain period.
The core of the indicator is the DSL state machine system: by detecting when the price continuously stays above the high or low band across several candlesticks, it generates a stable bullish or bearish state. When a bullish state is established, the system marks LP (low point support), representing sustained price strength; when a bearish state is established, it marks HP (high point resistance), reflecting the dominant downward trend. Because the states are "persistent," they do not frequently reverse due to short-term disturbances, making the trend signals smoother and more reliable.
Vegas Structure is responsible for depicting trend channels, while DSL is responsible for trend confirmation. The combination of the two can capture the start of a trend and filter out noise, making it a trend tracking and structure positioning tool suitable for both short-term and long-term trading.
Multi-Factor Trend Confluence Indicator (PTP V4)Disclaimer: This is a technical analysis tool for educational and informational purposes only. It does not constitute investment advice, financial solicitation, or a recommendation to buy or sell any security or instrument. Trading involves significant risk, and past performance is not indicative of future results. Use at your own risk.
KEY Features and Strategic Methodology
This is a comprehensive trend and confluence indicator built on multiple factors to identify potential pullbacks within an established trend.
• Core Trend Filter: Uses a long-term EMA to confirm the overall market bias.
• Fibonacci Pullback Logic: Identifies potential low-risk entry zones by calculating a 61.8% Fibonacci Retracement over a user-defined lookback period.
• Multi-Factor Confluence: A signal is generated only when the price touches the Fib zone AND the following factors align (You can edit the script to adjust the confluence conditions.):
o RSI is above 50.
o Positive DI is above Negative DI (DMI Bullish Crossover).
o Price is above the fast EMA.
• Consecutive Signal Counter: Includes a unique counter that highlights bars where the confluence conditions have been met for a minimum number of consecutive candles (4 by default), aiding in the validation of strong momentum entries.
• Moving Average Visualization: Plots and color-fills 10 WMA, 21 EMA, 42 EMA, and 200 EMA to provide a full market context and visualize momentum shifts.
1. Short-Term Momentum (WMA10 vs. EMA42 Fill)
This fill area highlights immediate price acceleration and momentum shifts:
• Green Fill (Bullish Momentum): WMA10 > EMA42.
• Red Fill (Bearish Momentum): WMA10 < EMA42.
2. Long-Term Market Context (EMA200 vs. EMA42 Fill)
This fill area defines the dominant backdrop of the market, essential for strategic positioning:
• Green Fill (Bullish Context): EMA200 < EMA42.
• Red Fill (Bearish Context): EMA200 > EMA42.
EMA200 Line Coloration
The EMA200 line color itself also provides a visual cue for the long-term context:
• Red Line: When EMA200 > EMA42 (Bearish Context).
• Green Line: When EMA200 < EMA42 (Bullish Context).
Customization
The indicator is highly customizable via the settings menu, allowing users to adjust lengths for EMA, RSI, DMI, Pivot Points, and the specific parameters for the Fibonacci Retracement Strategy (tolerance and candle limits).
3-Daumen-RegelThis indicator evaluates three key market conditions and summarizes them in a compact table using simple thumbs-up / thumbs-down signals. It’s designed specifically for daily timeframes and helps you quickly assess whether a market is showing technical strength or weakness.
The Three Checks
Price Above the 200-Day SMA
Indicates the long-term trend direction. A thumbs-up means the price is trading above the 200-day moving average.
Positive Performance During the First 5 Trading Days of the Year (YTD Start)
Measures early-year strength. If not enough bars are available, a warning is shown.
Price Above the YTD Level
Compares the current price to the first trading day’s close of the year.
Color Coding for Instant Clarity
Green: Condition met
Red: Condition not met
This creates a compact “thumbs check” that gives you a quick read on the market’s technical health.
Note
The indicator is intended for daily charts. A message appears if a different timeframe is used.
REMS - Deep SynergyThis is a more flexible version of the REMS Synergy indicator. Like other indicators in the REMS family, it builds upon the foundations assessing the relationships between RSI, EMAs, MACDs, and Stochastic RSI across multiple timeframes. Designed to help traders identify less frequent, but high probability entries across 2 time frames. Uses 3 levels of confluence indicators for both long and short moves.
Features 3 levels of confluence across 2 timeframes. All 3 levels allow filtering of any combination of REMS filters. Features more options and customization than previous REMS Synergy.
Includes VWAP and 4 EMAs as optional visual representations.
Includes 'Enhanced Candles' than can colour code candlesticks for better visual identification. (off by default)
Originally designed with 5 minute and 2 minute timeframes in mind, and pairs well with REMS First Strike and/or REMS Snap Shot indicators.
This version features no hard-coded inputs and allows for more freedom than previous version. With the added flexibility comes the ability for the indicator to be more easily stacked.
Clean Industry DataClean Industry Data – Overview
Clean Industry Data is a utility tool designed to give traders an instant, structured view of key fundamental and volatility metrics directly on the chart. The script displays a compact, customizable information panel containing:
Industry & Sector
Market Cap and Free-Float Market Cap
Free-Float Percentage
Average Daily Rupee Volume
Relative Volume (R.Vol) based on daily volume
% from 10 / 21 / 50 EMAs (calculated on daily closes)
ADR (14-day) with threshold-based indicators
ATR (current timeframe) with colour-coded risk cues
All volume-based statistics are anchored to daily data, ensuring the values remain consistent across all timeframes. The display table supports flexible positioning, custom background/text colours, and adjustable text size.
This script is ideal for traders who want a quick, accurate snapshot of a stock’s liquidity, volatility, and broader classification — without digging through multiple menus or external sources.
