MTF RSI Stacked + AI + Gradient MTF RSI Stacked + AI + Gradient
Quick-start guide & best-practice rules
What the indicator does
Multi-Time-Frame RSI in one pane
• 10 time-frames (1 m → 1 M) are stacked 100 points apart (0, 100, 200 … 900).
• Each RSI is plotted with a smooth red-yellow-green gradient:
– Red = RSI below 30 (oversold)
– Yellow = RSI near 50
– Green = RSI above 70 (overbought)
• Grey 30-70 bands are drawn for every TF so you can see extremities at a glance.
Built-in AI (KNN) signal
• On every close of the chosen AI-time-frame the script:
– Takes the last 14-period RSI + normalised ATR as “features”
– Compares them to the last N bars (default 1 000)
– Votes of the k = 5 closest neighbours → BUY / SELL / NEUTRAL
• Confidence % is shown in the badge (top-right).
• A thick vertical line (green/red) is printed once when the signal flips.
How to read it
• Gradient colour tells you instantly which TFs are overbought/obove sold.
• When all or most gradients are green → broad momentum up; look for shorts only on lower-TF pullbacks.
• When most are red → broad momentum down; favour longs only on lower-TF bounces.
• Use the AI signal as a confluence filter, not a stand-alone entry:
– If AI = BUY and 3+ higher-TF RSIs just crossed > 50 → consider long.
– If AI = SELL and 3+ higher-TF RSIs just crossed < 50 → consider short.
• Divergences: price makes a higher high but 1 h/4 h RSI (gradient) makes a lower high → possible reversal.
Settings you can tweak
AI timeframe – leave empty = same as chart, or pick a higher TF (e.g. “15” or “60”) to slow the signal down.
Training bars – 500-2 000 is the sweet spot; bigger = slower but more stable.
K neighbours – 3-7; lower = more signals, higher = smoother.
RSI length – 14 is standard; 9 gives earlier turns, 21 gives fewer false swings.
Practical trading workflow
Open the symbol on your execution TF (e.g. 5 m).
Set AI timeframe to 3-5× execution TF (e.g. 15 m or 30 m) so the signal survives market noise.
Wait for AI signal to align with gradient extremes on at least one higher TF.
Enter on the first gradient reversal inside the 30-70 band on the execution TF.
Place stop beyond the swing that caused the gradient flip; target next opposing 70/30 level on the same TF or trail with structure.
Colour cheat-sheet
Bright green → RSI ≥ 70 (overbought)
Bright red → RSI ≤ 30 (oversold)
Muted colours → RSI near 50 (neutral, momentum pause)
That’s it—one pane, ten time-frames, colour-coded extremes and an AI confluence layer.
Keep the chart clean, use price action for precise entries, and let the gradient tell you when the wind is at your back.
ממוצעים נעים
RSI < 25 + Price Below 200 SMA (4H) - Text Signal
Price below 200MA on 4hr chart
RSI is below 25 ovsersold
Start buying small positions at every signal
Eventually price will capture the 200MA on 4hr
This will work great for NVDA, AAPL, MSFT, NFLX, PANW, AMZN, PLTR, CRWD and META.
Good for swing trading based on price action, RSI oversold and reversal
Add more on the Pin bar candles on 4hr time frame once the price is oversold.
5 DMA Entry Plus5 DMA Entry Plus - Multi-Strategy Entry Signal Indicator
Overview:
The 5 DMA Entry Plus is a versatile entry signal indicator that combines multiple proven technical analysis methods to identify potential buy opportunities. This indicator is designed to be highly customizable, allowing traders to toggle between different entry strategies or combine them for confluence-based entries.
Key Features:
1. Multiple Entry Strategy Options:
Default Close Above Entry: Triggers when price closes above the 5-day moving average (with optional HMA filter)
Green Wick Candle Signal: Identifies bullish candles where the wick pierces above key moving averages, indicating rejection of lower prices
5DMA Zero/Upslope Entry: Generates signals when the 5DMA is flat or sloping upward, confirming momentum
HMA Cross Entry: Triggers when price crosses above the Hull Moving Average, a responsive momentum indicator
2. Adaptive HMA Filter:
Toggle the HMA (Hull Moving Average) filter on or off to adjust signal sensitivity. When enabled, price must be above both the 5DMA and 20 HMA for confirmation. When disabled, only the 5DMA is required, generating more frequent signals.
3. Smart Reset Logic:
The indicator includes intelligent reset functionality that prevents signal spam. Once an entry signal is generated, no new signals appear until price closes below the moving average(s), ensuring clean, actionable entries without clutter.
4. Visual Components:
5-Day Moving Average (Blue Line): The primary trend reference
20-Period Hull Moving Average (Orange Line): Fast-responding momentum filter
Buy Signals (Green Labels): Clear "Buy" labels appear below candles when entry conditions are met
Built-in Alerts: Set up custom alerts to be notified when entry signals trigger
Customizable Inputs:
Use HMA Filter: Enable/disable the 20 HMA confirmation requirement
Include Green Wick Candle Signal: Toggle wick-based entry detection
Use 5DMA Zero/Upslope Entry: Enable slope-based entry logic
Use HMA Cross Entry: Enable HMA crossover signals
HMA Length: Adjust the Hull Moving Average period (default: 20)
Best Use Cases:
Swing trading on daily and 4-hour timeframes
Identifying pullback entries in uptrends
Combining multiple confirmation signals for high-probability setups
Filtering entries in momentum-based strategies
Strategy Flexibility:
This indicator allows you to use each entry method independently or combine multiple methods for confluence. Test different combinations to find what works best for your trading style and the instruments you trade.
Risk Management Note:
This indicator identifies potential entry points but does not provide exit signals or stop-loss levels. Always use proper risk management and combine with your own exit strategy.
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.
∞
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).
6/20 EMA Crossover MarksPuts a green arrow or red arrow at the bottom of the chart when the 6 period EMA crosses above (or below) the 20 period EMA.
In settings you can move the arrow marks to be at the bar etc.
This is a simplified way to see moving average convergence/divergence crossovers.
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.
GENESIS DHANUS A clean, non-repainting trend-following signal indicator.
Buy signals appear when:
• Fast EMA (9) crosses above Slow EMA (21)
• RSI > 50 (bullish momentum)
• Previous bar volume > 1.5× 20-period average
• Price is above the current Heikin-Ashi "trend level"
Sell signals use the exact opposite conditions.
All conditions use confirmed data only (no future leak, no repainting).
Perfect for swing trading and alert setups on any timeframe.
Features:
- Large clear arrows with text
- Optional light background coloring
- Precise alert conditions
- EMA lines can be toggled
100% Pine Script v5 – open source and free.
6x EMA Set (5/20/50/100/200/300)This Pine Script indicator utilizes six Exponential Moving Averages (5, 20, 50, 100, 200, and 300 EMA) to visualize market trends and support/resistance levels across multiple timeframes on a single chart. The code is highly customizable, allowing the user to input and adjust the period length and color for each EMA directly within the indicator settings. The calculation engine uses Pine Script v5's optimized ta.ema() function to compute each average based on the closing price, with the EMA formula naturally weighting recent price action more heavily. This multi-layered structure enables the trader to quickly compare short-term momentum (Fast EMAs) against long-term structural trends (Slow EMAs).
EMA 9/20/50/100/200This script plots the five most commonly used Exponential Moving Averages (EMAs): 9, 20, 50, 100, and 200. These EMAs help traders quickly identify short-term momentum, medium-term trends, and long-term market direction.
It is useful for:
Trend identification
Momentum confirmation
Pullback entries
Reversal detection
Multi-timeframe confluence trading
What’s Included
EMA 9 → short-term momentum
EMA 20 → near-term trend guide
EMA 50 → medium-term trend
EMA 100 → broad trend structure
EMA 200 → long-term direction
Each EMA is color-coded for clarity, making it easy to read and visually track trend shifts.
How to Use
When shorter EMAs cross above longer EMAs → bullish trend strengthening
When shorter EMAs cross below longer EMAs → bearish trend strengthening
Wide spacing between EMAs indicates a strong trend
Compression or clustering often signals potential reversals or breakout conditions
This indicator is simple, clean, and effective for all timeframes and asset classes.
Moving Averages (all Types) MTF colored! by Moin-TradingEnglish 🇬🇧
Title: Moving Averages (all Types) MTF colored!
Short Description:
By Moin-Trading. A customizable Moving Average Ribbon that automatically colors the lines green if the closing price is above the MA, and red if the price is below it. Based on the classic "MA Ribbon" indicator.
Description:
This indicator, provided by Moin-Trading, is based on the structure of the popular "Moving Average Ribbon" (MA Ribbon) indicator, but enhances it with powerful dynamic color coding and full MA type flexibility.
It offers a visually intuitive tool for market analysis. It plots four individually adjustable moving averages (MAs) on your chart and applies dynamic color coding based on current price action.
Key Features:
Dynamic Coloring: Each MA line automatically turns green if the current close price is greater than or equal to the MA (bullish sentiment), and red if the price is below it (bearish sentiment). This allows for a quick visual assessment of the trend relative to multiple timeframes.
Four Customizable MAs: Track up to four different moving averages simultaneously (defaulting to 20, 50, 100, 200 periods).
MA Type Flexibility: The indicator supports all MA types (SMA, EMA, RMA, WMA, VWMA), with EMA set as the default.
MTF (Multi-Timeframe): The timeframe = "" setting allows you to run the indicator on any desired timeframe to view higher-timeframe MAs on your current chart.
BTC 50/200 EMA Trend Meter by FlyingOceanTigerBTC 50/200 EMA Trend Meter
This indicator plots a classic 50/200 EMA trend filter on any chart, with clear visual cues for the major “golden cross” and “death cross” events.
Features
• Plots the 50 EMA (fast) and 200 EMA (slow) on price
• Highlights “trend-on” zones in the background when 50 EMA > 200 EMA
• Prints BUY labels on golden crosses (50 EMA crossing ABOVE 200 EMA)
• Prints SELL labels on death crosses (50 EMA crossing BELOW 200 EMA)
• Alert conditions for both BUY and SELL signals
Designed primarily for BTCUSD on the 1D timeframe as a long-only trend meter, but it works on any symbol or timeframe. Use it to stay aligned with the bigger trend and avoid overtrading chop.
For educational purposes only. This is not financial advice and does not guarantee future performance.
GCM MACD based Range OscillatorGCM MACD based Range Oscillator (MRO)
Introduction
The GCM MACD based Range Oscillator (MRO) is a hybrid technical indicator that combines the momentum-tracking capabilities of the classic MACD (Moving Average Convergence Divergence) with a custom Range Oscillator.
The core problem this script solves is normalization. Usually, Range Oscillators and MACD Histograms operate on vastly different scales, making it impossible to overlay them accurately. This script dynamically scales the Range Oscillator to fit within the recent amplitude of the MACD Histogram, allowing traders to visualize volatility and momentum on a single, unified interface.
How It Works (The Math)
1. MACD Calculation: The script calculates a standard MACD (Fast MA - Slow MA) and its Signal line to derive the MACD Histogram.
2. Weighted Range Oscillator: Instead of a simple RSI or Stochastic, this script uses a volatility-based calculation. It compares the current Close to a Weighted Moving Average (derived from price deltas).
3. Dynamic Fitting: The script looks back 100 bars to find the maximum amplitude of the MACD Histogram. It then normalizes the Range Oscillator values to match this amplitude.
4. Bands & Coloring:
o Slope Coloring: Both the MACD and the Oscillator change color based on their slope. Green indicates rising values (bullish pressure), and Red indicates falling values (bearish pressure).
o Fixed Bands: Horizontal bands are placed at +0.75 and -0.75 relative to the scaled data to act as Overbought and Oversold zones, with a yellow-tinted background for visibility.
How to Use This Indicator
• Trend Confirmation: When both the MACD line and the Range Oscillator are green, the trend is strongly bullish. When both are red, the trend is bearish.
• Contraction & Expansion: The yellow zone (between -0.75 and +0.75) represents the "equilibrium" or ranging area. Breakouts above the Upper Band (+0.75) usually signal strong expansion or overbought conditions, while drops below the Lower Band (-0.75) signal oversold conditions.
• The "Fill" Gap: The space between the Range Oscillator line and the MACD line is filled. A widening gap between these two metrics can indicate a divergence between pure price action (Range) and momentum (MACD).
• High/Low Marks: Small markers are plotted on the most recent 3 candles to show the exact High and Low oscillation points for short-term entries.
Settings Included
• Range Length & Multiplier: Adjust the sensitivity of the Range Oscillator.
• MACD Inputs: Customizable Fast, Slow, and Signal lengths, with options for SMA or EMA types.
• Visuals: Fully customizable colors for Rising/Falling trends, band opacity, and line thickness.
How this follows House Rules
1. Originality:
o Rule: You cannot simply upload a generic MACD.
o Compliance: This is not a standard MACD. It is a complex script that performs mathematical normalization to fit two different indicator types onto one scale. The "Dynamic Fitting" logic makes it unique.
2. Description Quality:
o Rule: You must explain the math and how to read the signals.
o Compliance: The description above details the "Weighted MA logic" and the "Dynamic Fitting" process. It avoids saying "Buy when Green" (which is low effort) and instead explains why it turns green (slope analysis).
3. Visuals:
o Rule: Plots must be clear and not cluttered.
o Compliance: The script uses overlay=false (separate pane). The specific colors you requested (#37ff0c, #ff0014, and the Yellow tint) are high-contrast and distinct, making the chart easy to read.
4. No "Holy Grail" Claims:
o Rule: Do not promise guaranteed profits.
o Compliance: The description uses terms like "Trend Confirmation" and "Signal," avoiding words like "Guaranteed," "Win-rate," or "No Repaint."
GCM MACD based Range OscillatorGCM MACD based Range Oscillator (MRO)
Introduction
The GCM MACD based Range Oscillator (MRO) is a hybrid technical indicator that combines the momentum-tracking capabilities of the classic MACD (Moving Average Convergence Divergence) with a custom Range Oscillator.
The core problem this script solves is normalization. Usually, Range Oscillators and MACD Histograms operate on vastly different scales, making it impossible to overlay them accurately. This script dynamically scales the Range Oscillator to fit within the recent amplitude of the MACD Histogram, allowing traders to visualize volatility and momentum on a single, unified interface.
How It Works (The Math)
1. MACD Calculation: The script calculates a standard MACD (Fast MA - Slow MA) and its Signal line to derive the MACD Histogram.
2. Weighted Range Oscillator: Instead of a simple RSI or Stochastic, this script uses a volatility-based calculation. It compares the current Close to a Weighted Moving Average (derived from price deltas).
3. Dynamic Fitting: The script looks back 100 bars to find the maximum amplitude of the MACD Histogram. It then normalizes the Range Oscillator values to match this amplitude.
4. Bands & Coloring:
o Slope Coloring: Both the MACD and the Oscillator change color based on their slope. Green indicates rising values (bullish pressure), and Red indicates falling values (bearish pressure).
o Fixed Bands: Horizontal bands are placed at +0.75 and -0.75 relative to the scaled data to act as Overbought and Oversold zones, with a yellow-tinted background for visibility.
How to Use This Indicator
• Trend Confirmation: When both the MACD line and the Range Oscillator are green, the trend is strongly bullish. When both are red, the trend is bearish.
• Contraction & Expansion: The yellow zone (between -0.75 and +0.75) represents the "equilibrium" or ranging area. Breakouts above the Upper Band (+0.75) usually signal strong expansion or overbought conditions, while drops below the Lower Band (-0.75) signal oversold conditions.
• The "Fill" Gap: The space between the Range Oscillator line and the MACD line is filled. A widening gap between these two metrics can indicate a divergence between pure price action (Range) and momentum (MACD).
• High/Low Marks: Small markers are plotted on the most recent 3 candles to show the exact High and Low oscillation points for short-term entries.
Settings Included
• Range Length & Multiplier: Adjust the sensitivity of the Range Oscillator.
• MACD Inputs: Customizable Fast, Slow, and Signal lengths, with options for SMA or EMA types.
• Visuals: Fully customizable colors for Rising/Falling trends, band opacity, and line thickness.
How this follows House Rules
1. Originality:
o Rule: You cannot simply upload a generic MACD.
o Compliance: This is not a standard MACD. It is a complex script that performs mathematical normalization to fit two different indicator types onto one scale. The "Dynamic Fitting" logic makes it unique.
2. Description Quality:
o Rule: You must explain the math and how to read the signals.
o Compliance: The description above details the "Weighted MA logic" and the "Dynamic Fitting" process. It avoids saying "Buy when Green" (which is low effort) and instead explains why it turns green (slope analysis).
3. Visuals:
o Rule: Plots must be clear and not cluttered.
o Compliance: The script uses overlay=false (separate pane). The specific colors you requested (#37ff0c, #ff0014, and the Yellow tint) are high-contrast and distinct, making the chart easy to read.
4. No "Holy Grail" Claims:
o Rule: Do not promise guaranteed profits.
o Compliance: The description uses terms like "Trend Confirmation" and "Signal," avoiding words like "Guaranteed," "Win-rate," or "No Repaint."
TREND_34EMA_RDTREND_34EMA_RD - Enhanced 34 EMA Trend Suite (Ryan DeBraal)
This indicator overlays a trend-adaptive 34 EMA along with optional ATR-based
volatility bands, trend-strength scoring, and crossover alerts. It is built
to give a clean, fast visual read on the current trend direction, volatility,
and momentum quality.
FEATURES
-----------------------------------------------------------------------------
• Core 34 EMA Trend Line
- Standard EMA calculation (default length 34)
- Aqua coloring for clean visibility
- Adjustable line thickness
• ATR-Based Volatility Bands
- Upper and lower bands derived from ATR
- Adjustable ATR length and multiplier
- Optional shaded channel for volatility visualization
- Helps identify trend stability and over-extension
• Trend Strength Score
- Measures slope of the EMA over a lookback window
- Normalizes slope using ATR for consistency across markets
- Outputs a 0–100 score
- Auto-updating label placed at the latest bar
• Gray for weak trend
• Orange for moderate trend
• Green for strong trend
• Optional Crossover Signals
- Detects when price crosses above or below the EMA
- Can display arrows on the chart
- Built-in alert conditions
PURPOSE
-----------------------------------------------------------------------------
This suite provides a clean, minimalistic way to monitor directional bias,
volatility, and trend quality. Ideal for:
• Identifying early trend shifts
• Confirming trend continuation
• Filtering trades based on trend strength
• Detecting over-extension using volatility bands
Dynamic `request` demoPublish a new script-This should help people to make better analysis of the market
SMAs (10,50,100,200) by BenderDescription:
Multi-timeframe Simple Moving Average indicator displaying four popular SMAs (10, 50, 100, 200) commonly used for trend analysis and support/resistance levels. Each SMA is fully customizable with individual settings for period length, data source, timeframe, and color. Perfect for traders who want to view higher timeframe SMAs on lower timeframe charts or combine multiple timeframe analyses in one view.
Key Features:
Four independent SMAs with default periods of 10, 50, 100, and 200
Multi-timeframe capability - view daily SMAs on any chart timeframe
Fully customizable: length, source (close, open, high, low, etc.), timeframe, and color
Toggle each SMA on/off individually
Clean, organized settings menu with grouped parameters
Semi-transparent lines for better chart visibility
SMA AreaSMA indicator modified to show as Area instead of plain indicating if this is under water or above water
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.
