Buy/Sell Ei - Premium Edition (Fixed Momentum)**📈 Buy/Sell Ei Indicator - Smart Trading System with Price Pattern Detection 📉**
**🔍 What is it?**
The **Buy/Sell Ei** indicator is a professional tool designed to identify **buy and sell signals** based on a combination of **candlestick patterns** and **moving averages**. With high accuracy, it pinpoints optimal entry and exit points in **both bullish and bearish trends**, making it suitable for forex pairs, stocks, and cryptocurrencies.
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### **🌟 Key Features:**
✅ **Advanced Candlestick Pattern Detection**
✅ **Momentum Filter (Customizable consecutive candle count)**
✅ **Live Trade Mode (Instant signals for active trading)**
✅ **Dual MA Support (Fast & Slow MA with multiple types: SMA, EMA, WMA, VWMA)**
✅ **Date Filter (Focus on specific trading periods)**
✅ **Win/Loss Tracking (Performance analytics with success rate)**
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### **🚀 Why Choose Buy/Sell Ei?**
✔ **Precision:** Reduces false signals with strict pattern rules.
✔ **Flexibility:** Works in both live trading and backtesting modes.
✔ **User-Friendly:** Clear labels and alerts for easy decision-making.
✔ **Adaptive:** Compatible with all timeframes (M1 to Monthly).
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### **🛠 How It Works:**
1. **Trend Confirmation:** Uses MAs to filter trades in the trend’s direction.
2. **Pattern Recognition:** Detects "Ready to Buy/Sell" and confirmed signals.
3. **Momentum Check:** Optional filter for consecutive bullish/bearish candles.
4. **Live Alerts:** Labels appear instantly in Live Trade Mode.
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### **📊 Ideal For:**
- **Day Traders** (Scalping & Intraday)
- **Swing Traders** (Medium-term setups)
- **Technical Analysts** (Backtesting strategies)
**🔧 Designed by Sahar Chadri | Optimized for TradingView**
**🎯 Trade Smarter, Not Harder!**
指数移動平均 (EMA)
Huntwood PVSRA Candles with 34 EMA WavePVSRA + Wave Indicator (Volume + Structure + Momentum)
This custom indicator blends PVSRA (Price, Volume, S&R Analysis) with wave-based structure tracking to help identify smart money activity, volume surges, and wave patterns in real time.
It highlights:
Volume spikes at key zones
Wave counts & structure shifts
Potential market maker traps & trend setups
Ideal for traders who want a visual edge combining volume-based clues with wave rhythm for better entry/exit decisions.
EMA Crossover with Shading
A Pine Script indicator that shows a crossover between a short EMA and a long EMA, with green shading when the short EMA is above the long EMA and red shading when it's below.
Buy/Sell Signals (Dynamic v2)//@version=5
indicator(title="Buy/Sell Signals (Dynamic v2)", shorttitle="Buy/Sell Dyn v2", overlay=true)
// Input for moving average lengths
lengthMA = input.int(20, title="Moving Average Length")
lengthEMA = input.int(5, title="Exponential Moving Average Length")
// Calculate Moving Averages
ma = ta.sma(close, lengthMA)
ema = ta.ema(close, lengthEMA)
// --- Buy Signal Conditions ---
buyMarketBelowMA = close < ma
buyMarketBelowEMA = close < ema
buyEMABelowMA = ema < ma
buyMarketCondition = buyMarketBelowMA and buyMarketBelowEMA and buyEMABelowMA
buyFollowingHighNotTouchedEMA = high < ema
buyCurrentCrossCloseAboveFollowingHigh = high > high and close > high
buySignalCondition = buyMarketCondition and buyFollowingHighNotTouchedEMA and buyCurrentCrossCloseAboveFollowingHigh
// Plot Buy Signal
plotshape(buySignalCondition, title="Buy Signal", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
// --- Sell Signal Conditions (Occurring After a Buy Signal Sequence) ---
sellMarketAboveMA = close > ma
sellMarketAboveEMA = close > ema
sellEMAAboveMA = ema > ma
sellMarketConditionSell = sellMarketAboveMA and sellMarketAboveEMA and sellEMAAboveMA
var bool buySignalOccurredRecently = false
if buySignalCondition
buySignalOccurredRecently := true
sellSignalCondition = buySignalOccurredRecently and sellMarketConditionSell and close < close
// Plot Sell Signal
plotshape(sellSignalCondition, title="Sell Signal", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
// Reset the buySignalOccurredRecently only after a sell signal
if sellSignalCondition
buySignalOccurredRecently := false
// Plot the Moving Averages for visual reference
plot(ma, color=color.blue, title="MA")
plot(ema, color=color.red, title="EMA")
4 EMA Modified [Ryu_xp] - Enhanced4 EMA Modified – Enhanced (Pine v6)
A highly configurable, four-line exponential moving average (EMA) overlay built in Pine Script v6. This indicator empowers traders to monitor short- and long-term trends simultaneously, with the ability to toggle each EMA on or off and adjust its period and data source—all from a single, inline control panel.
Key Features:
Pine Script v6: updated to leverage the latest performance improvements and language features.
Four EMAs:
EMA 3 for ultra-short momentum (white, medium line)
EMA 10 for short-term trend (light blue, thin line)
EMA 55 for intermediate trend (orange, thicker line)
EMA 200 for long-term trend (dynamic green/red, thickest line)
Inline Controls: Each EMA has its own checkbox, length input, and source selector arranged on a single line for fast configuration.
Dynamic Coloring: EMA 200 switches to green when price is above it (bullish) and red when price is below it (bearish).
Toggle Visibility: Enable or disable any EMA instantly without removing it from your chart.
Clean Overlay: All EMAs plotted in one pane; ideal for multi-timeframe trend confluence and crossover strategies.
Inputs:
Show/Hide each EMA
EMA Length and Source for periods 3, 10, 55, and 200
Usage:
Add the script to any price chart.
Use the inline checkboxes to show only the EMAs you need.
Adjust lengths and sources to fit your instrument and timeframe.
Watch for crossovers between EMAs or price interactions with EMA 200 to confirm trend shifts.
This open-source script offers maximum flexibility for traders seeking a customizable EMA toolkit in one simple overlay.
Why EMA Isn't What You Think It IsMany new traders adopt the Exponential Moving Average (EMA) believing it's simply a "better Simple Moving Average (SMA)". This common misconception leads to fundamental misunderstandings about how EMA works and when to use it.
EMA and SMA differ at their core. SMA use a window of finite number of data points, giving equal weight to each data point in the calculation period. This makes SMA a Finite Impulse Response (FIR) filter in signal processing terms. Remember that FIR means that "all that we need is the 'period' number of data points" to calculate the filter value. Anything beyond the given period is not relevant to FIR filters – much like how a security camera with 14-day storage automatically overwrites older footage, making last month's activity completely invisible regardless of how important it might have been.
EMA, however, is an Infinite Impulse Response (IIR) filter. It uses ALL historical data, with each past price having a diminishing - but never zero - influence on the calculated value. This creates an EMA response that extends infinitely into the past—not just for the last N periods. IIR filters cannot be precise if we give them only a 'period' number of data to work on - they will be off-target significantly due to lack of context, like trying to understand Game of Thrones by watching only the final season and wondering why everyone's so upset about that dragon lady going full pyromaniac.
If we only consider a number of data points equal to the EMA's period, we are capturing no more than 86.5% of the total weight of the EMA calculation. Relying on he period window alone (the warm-up period) will provide only 1 - (1 / e^2) weights, which is approximately 1−0.1353 = 0.8647 = 86.5%. That's like claiming you've read a book when you've skipped the first few chapters – technically, you got most of it, but you probably miss some crucial early context.
▶️ What is period in EMA used for?
What does a period parameter really mean for EMA? When we select a 15-period EMA, we're not selecting a window of 15 data points as with an SMA. Instead, we are using that number to calculate a decay factor (α) that determines how quickly older data loses influence in EMA result. Every trader knows EMA calculation: α = 1 / (1+period) – or at least every trader claims to know this while secretly checking the formula when they need it.
Thinking in terms of "period" seriously restricts EMA. The α parameter can be - should be! - any value between 0.0 and 1.0, offering infinite tuning possibilities of the indicator. When we limit ourselves to whole-number periods that we use in FIR indicators, we can only access a small subset of possible IIR calculations – it's like having access to the entire RGB color spectrum with 16.7 million possible colors but stubbornly sticking to the 8 basic crayons in a child's first art set because the coloring book only mentioned those by name.
For example:
Period 10 → alpha = 0.1818
Period 11 → alpha = 0.1667
What about wanting an alpha of 0.17, which might yield superior returns in your strategy that uses EMA? No whole-number period can provide this! Direct α parameterization offers more precision, much like how an analog tuner lets you find the perfect radio frequency while digital presets force you to choose only from predetermined stations, potentially missing the clearest signal sitting right between channels.
Sidenote: the choice of α = 1 / (1+period) is just a convention from 1970s, probably started by J. Welles Wilder, who popularized the use of the 14-day EMA. It was designed to create an approximate equivalence between EMA and SMA over the same number of periods, even thought SMA needs a period window (as it is FIR filter) and EMA doesn't. In reality, the decay factor α in EMA should be allowed any valye between 0.0 and 1.0, not just some discrete values derived from an integer-based period! Algorithmic systems should find the best α decay for EMA directly, allowing the system to fine-tune at will and not through conversion of integer period to float α decay – though this might put a few traditionalist traders into early retirement. Well, to prevent that, most traditionalist implementations of EMA only use period and no alpha at all. Heaven forbid we disturb people who print their charts on paper, draw trendlines with rulers, and insist the market "feels different" since computers do algotrading!
▶️ Calculating EMAs Efficiently
The standard textbook formula for EMA is:
EMA = CurrentPrice × alpha + PreviousEMA × (1 - alpha)
But did you know that a more efficient version exists, once you apply a tiny bit of high school algebra:
EMA = alpha × (CurrentPrice - PreviousEMA) + PreviousEMA
The first one requires three operations: 2 multiplications + 1 addition. The second one also requires three ops: 1 multiplication + 1 addition + 1 subtraction.
That's pathetic, you say? Not worth implementing? In most computational models, multiplications cost much more than additions/subtractions – much like how ordering dessert costs more than asking for a water refill at restaurants.
Relative CPU cost of float operations :
Addition/Subtraction: ~1 cycle
Multiplication: ~5 cycles (depending on precision and architecture)
Now you see the difference? 2 * 5 + 1 = 11 against 5 + 1 + 1 = 7. That is ≈ 36.36% efficiency gain just by swapping formulas around! And making your high school math teacher proud enough to finally put your test on the refrigerator.
▶️ The Warmup Problem: how to start the EMA sequence right
How do we calculate the first EMA value when there's no previous EMA available? Let's see some possible options used throughout the history:
Start with zero : EMA(0) = 0. This creates stupidly large distortion until enough bars pass for the horrible effect to diminish – like starting a trading account with zero balance but backdating a year of missed trades, then watching your balance struggle to climb out of a phantom debt for months.
Start with first price : EMA(0) = first price. This is better than starting with zero, but still causes initial distortion that will be extra-bad if the first price is an outlier – like forming your entire opinion of a stock based solely on its IPO day price, then wondering why your model is tanking for weeks afterward.
Use SMA for warmup : This is the tradition from the pencil-and-paper era of technical analysis – when calculators were luxury items and "algorithmic trading" meant your broker had neat handwriting. We first calculate an SMA over the initial period, then kickstart the EMA with this average value. It's widely used due to tradition, not merit, creating a mathematical Frankenstein that uses an FIR filter (SMA) during the initial period before abruptly switching to an IIR filter (EMA). This methodology is so aesthetically offensive (abrupt kink on the transition from SMA to EMA) that charting platforms hide these early values entirely, pretending EMA simply doesn't exist until the warmup period passes – the technical analysis equivalent of sweeping dust under the rug.
Use WMA for warmup : This one was never popular because it is harder to calculate with a pencil - compared to using simple SMA for warmup. Weighted Moving Average provides a much better approximation of a starting value as its linear descending profile is much closer to the EMA's decay profile.
These methods all share one problem: they produce inaccurate initial values that traders often hide or discard, much like how hedge funds conveniently report awesome performance "since strategy inception" only after their disastrous first quarter has been surgically removed from the track record.
▶️ A Better Way to start EMA: Decaying compensation
Think of it this way: An ideal EMA uses an infinite history of prices, but we only have data starting from a specific point. This creates a problem - our EMA starts with an incorrect assumption that all previous prices were all zero, all close, or all average – like trying to write someone's biography but only having information about their life since last Tuesday.
But there is a better way. It requires more than high school math comprehension and is more computationally intensive, but is mathematically correct and numerically stable. This approach involves compensating calculated EMA values for the "phantom data" that would have existed before our first price point.
Here's how phantom data compensation works:
We start our normal EMA calculation:
EMA_today = EMA_yesterday + α × (Price_today - EMA_yesterday)
But we add a correction factor that adjusts for the missing history:
Correction = 1 at the start
Correction = Correction × (1-α) after each calculation
We then apply this correction:
True_EMA = Raw_EMA / (1-Correction)
This correction factor starts at 1 (full compensation effect) and gets exponentially smaller with each new price bar. After enough data points, the correction becomes so small (i.e., below 0.0000000001) that we can stop applying it as it is no longer relevant.
Let's see how this works in practice:
For the first price bar:
Raw_EMA = 0
Correction = 1
True_EMA = Price (since 0 ÷ (1-1) is undefined, we use the first price)
For the second price bar:
Raw_EMA = α × (Price_2 - 0) + 0 = α × Price_2
Correction = 1 × (1-α) = (1-α)
True_EMA = α × Price_2 ÷ (1-(1-α)) = Price_2
For the third price bar:
Raw_EMA updates using the standard formula
Correction = (1-α) × (1-α) = (1-α)²
True_EMA = Raw_EMA ÷ (1-(1-α)²)
With each new price, the correction factor shrinks exponentially. After about -log₁₀(1e-10)/log₁₀(1-α) bars, the correction becomes negligible, and our EMA calculation matches what we would get if we had infinite historical data.
This approach provides accurate EMA values from the very first calculation. There's no need to use SMA for warmup or discard early values before output converges - EMA is mathematically correct from first value, ready to party without the awkward warmup phase.
Here is Pine Script 6 implementation of EMA that can take alpha parameter directly (or period if desired), returns valid values from the start, is resilient to dirty input values, uses decaying compensator instead of SMA, and uses the least amount of computational cycles possible.
// Enhanced EMA function with proper initialization and efficient calculation
ema(series float source, simple int period=0, simple float alpha=0)=>
// Input validation - one of alpha or period must be provided
if alpha<=0 and period<=0
runtime.error("Alpha or period must be provided")
// Calculate alpha from period if alpha not directly specified
float a = alpha > 0 ? alpha : 2.0 / math.max(period, 1)
// Initialize variables for EMA calculation
var float ema = na // Stores raw EMA value
var float result = na // Stores final corrected EMA
var float e = 1.0 // Decay compensation factor
var bool warmup = true // Flag for warmup phase
if not na(source)
if na(ema)
// First value case - initialize EMA to zero
// (we'll correct this immediately with the compensation)
ema := 0
result := source
else
// Standard EMA calculation (optimized formula)
ema := a * (source - ema) + ema
if warmup
// During warmup phase, apply decay compensation
e *= (1-a) // Update decay factor
float c = 1.0 / (1.0 - e) // Calculate correction multiplier
result := c * ema // Apply correction
// Stop warmup phase when correction becomes negligible
if e <= 1e-10
warmup := false
else
// After warmup, EMA operates without correction
result := ema
result // Return the properly compensated EMA value
▶️ CONCLUSION
EMA isn't just a "better SMA"—it is a fundamentally different tool, like how a submarine differs from a sailboat – both float, but the similarities end there. EMA responds to inputs differently, weighs historical data differently, and requires different initialization techniques.
By understanding these differences, traders can make more informed decisions about when and how to use EMA in trading strategies. And as EMA is embedded in so many other complex and compound indicators and strategies, if system uses tainted and inferior EMA calculatiomn, it is doing a disservice to all derivative indicators too – like building a skyscraper on a foundation of Jell-O.
The next time you add an EMA to your chart, remember: you're not just looking at a "faster moving average." You're using an INFINITE IMPULSE RESPONSE filter that carries the echo of all previous price actions, properly weighted to help make better trading decisions.
EMA done right might significantly improve the quality of all signals, strategies, and trades that rely on EMA somewhere deep in its algorithmic bowels – proving once again that math skills are indeed useful after high school, no matter what your guidance counselor told you.
Consecutive Candles Above/Below EMADescription:
This indicator identifies and highlights periods where the price remains consistently above or below an Exponential Moving Average (EMA) for a user-defined number of consecutive candles. It visually marks these sustained trends with background colors and labels, helping traders spot strong bullish or bearish market conditions. Ideal for trend-following strategies or identifying potential trend exhaustion points, this tool provides clear visual cues for price behavior relative to the EMA.
How It Works:
EMA Calculation: The indicator calculates an EMA based on the user-specified period (default: 100). The EMA is plotted as a blue line on the chart for reference.
Consecutive Candle Tracking: It counts how many consecutive candles close above or below the EMA:
If a candle closes below the EMA, the "below" counter increments; any candle closing above resets it to zero.
If a candle closes above the EMA, the "above" counter increments; any candle closing below resets it to zero.
Highlighting Trends: When the number of consecutive candles above or below the EMA meets or exceeds the user-defined threshold (default: 200 candles):
A translucent red background highlights periods where the price has been below the EMA.
A translucent green background highlights periods where the price has been above the EMA.
Labeling: When the required number of consecutive candles is first reached:
A red downward arrow label with the text "↓ Below" appears for below-EMA streaks.
A green upward arrow label with the text "↑ Above" appears for above-EMA streaks.
Usage:
Trend Confirmation: Use the highlights and labels to confirm strong trends. For example, 200 candles above the EMA may indicate a robust uptrend.
Reversal Signals: Prolonged streaks (e.g., 200+ candles) might suggest overextension, potentially signaling reversals.
Customization: Adjust the EMA period to make it faster or slower, and modify the candle count to make the indicator more or less sensitive to trends.
Settings:
EMA Length: Set the period for the EMA calculation (default: 100).
Candles Count: Define the minimum number of consecutive candles required to trigger highlights and labels (default: 200).
Visuals:
Blue EMA line for tracking the moving average.
Red background for sustained below-EMA periods.
Green background for sustained above-EMA periods.
Labeled arrows to mark when the streak threshold is met.
This indicator is a powerful tool for traders looking to visualize and capitalize on persistent price trends relative to the EMA, with clear, customizable signals for market analysis.
Explain EMA calculation
Other trend indicators
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Triple Moving Average by XeodiacThis script, "Triple Moving Average Indicator", is a simple yet powerful tool designed to help traders track trends and detect potential market reversals. Here’s what it does:
What It Does:
Plots three moving averages on your chart.
Customizable to suit your trading style with options for the type of moving average, the period, color, and thickness of the lines.
Alerts you when important crossovers occur, helping you stay on top of potential trading opportunities.
Features:
Customizable Moving Averages (MAs):
Choose from four types of MAs:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Smoothed Moving Average (SMMA)
Weighted Moving Average (WMA)
Set individual periods, colors, and line thickness for each moving average.
Alerts:
Notifies you when:
The price crosses above or below any moving average.
One moving average crosses another (e.g., short-term crosses above long-term).
Visual Clarity:
Plots three distinct lines on the chart for easy comparison and interpretation.
Why Use It?
Track Trends: See the direction of short, medium, and long-term trends at a glance.
Spot Crossovers: Identify golden crosses (bullish) or death crosses (bearish) to refine entry and exit points.
Stay Informed: With alerts, you’ll never miss a key market movement.
ADX EMA's DistanceIt is well known to technical analysts that the price of the most volatile and traded assets do not tend to stay in the same place for long. A notable observation is the recurring pattern of moving averages that tend to move closer together prior to a strong move in some direction to initiate the trend, it is precisely that distance that is measured by the blue ADX EMA's Distance lines on the chart, normalized and each line being the distance between 2, 3 or all 4 moving averages, with the zero line being the point where the distance between them is zero, but it is also necessary to know the direction of the movement, and that is where the modified ADX will be useful.
This is the well known Directional Movement Indicator (DMI), where the +DI and -DI lines of the ADX will serve to determine the direction of the trend.
Сига EMA-RSIConditions
- The signal is formed only when the EMA9 and EMA20 intersect and the RSI conditions are met
The precondition is that the RSI should break through the 55 level from top to bottom for long and 45 from bottom to top for short
- The signal is formed when EMA9 and EMA20 intersect and the RSI condition is met
This combination works perfectly on trend reversals.Patterns.
Сига EMA-RSIConditions
- The signal is formed only when the EMA9 and EMA20 intersect and the RSI conditions are met
The precondition is that the RSI should break through the 55 level from top to bottom for long and 45 from bottom to top for short
- The signal is formed when EMA9 and EMA20 intersect and the RSI condition is met
This combination works perfectly on trend reversals.Patterns.
EMA 20/50/100/200 Color-Coded20/50/100/200 EMA indicator with a color-coding option that changes the color of an EMA line to green every time the price is above the EMA and red every time the price is below the EMA.
EMAsThe TradingView Multiple EMA Indicator is a powerful and versatile tool designed to provide traders with a comprehensive view of market trends across multiple timeframes. By incorporating SIX Exponential Moving Averages (EMAs) with customizable lengths and sources, this indicator offers a nuanced approach to trend analysis, suitable for both novice and experienced traders.
Key Features:
SIX customizable EMAs for multi-timeframe analysis
Flexible source inputs for each EMA
Color-coded plots for easy visual interpretation
Overlay functionality for direct price action comparison
Vegas Tunnel — Open SourceWhat it does – Plots the classic Vegas tunnel using the 144- and 169-period EMAs and colours the zone blue when price is above, pink when below.
How to use – Long bias when candles close above the upper band, short/flat when below. No built-in alerts or position sizing; this is a visual aid only.
Why open? – These EMAs are public-domain; the paid OneTrend Pro script adds proprietary filter, risk engine and live-broker alerts.
EMA Signals by JJ v1.0EMA Signals by JJ is a trend-following indicator designed for the 1-hour timeframe, using EMA (9, 21, 50) crossovers to identify buy and sell signals. The indicator filters signals based on a custom session time (default: 14:30 to 22:00 US trading session) and incorporates ATR-based bar spacing to prevent signal clustering. Alerts are available for both buy and sell signals.
(Decode) Moving Average Toolkit(Decode) Moving Average Toolkit: Your All-in-One MA Analysis Powerhouse
The Decode MAT is a comprehensive TradingView indicator designed to give you deep insights into market trends and potential trading signals using a versatile set of moving averages (MAs) and related tools. It's built for traders who want flexibility and a clear visual representation of MA-based strategies.
Here’s a breakdown of its key features and how you might use them in your trading:
1. Extensive Moving Average Options (5 EMAs & 5 SMAs)
What it is: The toolkit provides you with ten moving averages in total:
- Five Exponential Moving Averages (EMAs)
- Five Simple Moving Averages (SMAs)
Customization: You can set the length (period) for each of these ten MAs independently. This means you can track very short-term price action, long-term trends, and anything in between, all on one chart.
Visibility Control: Each MA line can be individually turned on or off directly from the "Inputs" tab using its "Show EMA X" or "Show SMA X" checkbox. This keeps your chart clean and focused. The color and line width for each MA are pre-defined in the script (EMAs are blueish with transparency, SMAs are solid with corresponding colors) but can be further customized in the "Style" tab of the indicator settings.
Defaults: EMA 1 (10-period) and EMA 2 (20-period) are visible by default. SMA 3 (50-period) and SMA 5 (200-period) are also visible by default. Other MAs are off by default.
Trading Ideas:
Trend Identification: Use longer-term MAs (e.g., 50, 100, 200-period SMA or EMA) to identify the overall market direction. Price above these MAs generally suggests an uptrend; price below suggests a downtrend.
Dynamic Support & Resistance: MAs can act as dynamic levels of support in an uptrend or resistance in a downtrend. Watch for price bouncing off these MAs.
Multi-Timeframe Feel: By plotting MAs of different lengths (e.g., a 20-period for short-term and a 200-period for long-term), you can get a sense of how different market participants might be viewing the trend.
2. EMA/SMA Ribbons (5 Hardcoded Pairs)
What it is: The indicator can display up to five "ribbons." Each ribbon is hardcoded to visually fill the space between a specific EMA and its numerically corresponding SMA:
- Ribbon 1: EMA 1 / SMA 1
- Ribbon 2: EMA 2 / SMA 2
- Ribbon 3: EMA 3 / SMA 3
- Ribbon 4: EMA 4 / SMA 4
- Ribbon 5: EMA 5 / SMA 5
Enable/Disable: Each of these five ribbons can be individually turned on or off from the "Inputs" tab using its "Show Ribbon EMAX/SMAX" checkbox. A ribbon will appear if its toggle is checked, regardless of whether its constituent MA lines are currently visible (the fill uses the underlying plot data).
Defaults: Ribbon 3 (EMA3/SMA3) is visible by default. Other ribbons are off by default.
Color-Coded Insights:
Green Ribbon: Appears when the EMA is above its corresponding SMA, often indicating bullish momentum or an uptrend for that pair.
Red Ribbon: Appears when the EMA is below its corresponding SMA, often indicating bearish momentum or a downtrend for that pair.
Trading Ideas:
Trend Strength & Confirmation: A widening ribbon can suggest increasing trend strength. A ribbon consistently staying one color (e.g., green) reinforces the current trend.
Entry/Exit Signals: Some traders look for the ribbon to change color as a potential signal. For example, a change from red to green might be a bullish entry signal, while green to red might be bearish.
Visualizing Momentum: The ribbons provide an immediate visual cue of the relationship between the faster-reacting EMA and the smoother SMA for standard MA pairings.
3. Configurable Crossover Alerts & On-Chart Symbols (Up to 5 Alerts)
What it is: This is a powerful feature for signal generation. You can set up to five independent crossover alert conditions.
Flexible MA Selection for Alerts: For each of the five alerts, you can choose any two moving averages from the ten available (5 EMAs, 5 SMAs) to act as your "Fast MA" and "Slow MA."
On-Chart Visual Symbols:
When a configured "Fast MA" crosses above the "Slow MA" (a bullish crossover), a green upward triangle (▲) can be plotted below the price bar.
When a configured "Fast MA" crosses below the "Slow MA" (a bearish crossover), a red downward triangle (▼) can be plotted above the price bar.
A symbol will only appear if: 1) The main "Enable Alert X" checkbox is active, 2) The crossover condition is met, AND 3) The "Show Symbols for Alert X" checkbox is active.
Defaults: Alert 1 (EMA 1 / EMA 2 cross) is enabled with symbols on. Alert 5 (SMA 3 / SMA 5 cross) is enabled with symbols on. Alerts 2, 3, and 4 are disabled by default.
TradingView Alert Integration: The script defines these crossover conditions. You can then go into TradingView's alert manager, select this indicator, and choose a specific condition (e.g., "Alert 1 Bullish Cross") to receive notifications.
Trading Ideas:
Classic & Custom Crossover Signals: Set up alerts for well-known patterns like the Golden/Death Cross, or create alerts for crossovers between any MAs relevant to your strategy.
Entry/Exit Triggers: Use crossover alerts as potential entry or exit signals.
Multi-Condition Confirmation: Combine alert signals with the visual information from the ribbons and overall MA structure.
4. General Customization
Price Source: You can choose what price data the moving averages are calculated from (e.g., Close, Open, High, Low, (H+L)/2, etc.).
Overall Trading Strategies & Benefits
The (Decode) Moving Average Toolkit is designed for versatility:
Trend Following: Use long-term MAs for trend direction, and shorter-term MA crossovers (with alerts) or ribbon changes for entries in the direction of that trend.
Swing Trading: Identify swings using medium-term MAs and look for pullbacks or crossovers as entry points, confirmed by ribbon behavior.
Momentum Confirmation: Gauge trend strength using the relationship between multiple MAs, visualized through the ribbons.
Focused Charting: Toggle the visibility of individual MAs and ribbons to keep your chart relevant to your current analysis.
Automated Scanning (via Alerts): Set up alerts for your preferred crossover conditions across multiple instruments and let TradingView notify you.
Simple Volatility ConeThe Simple Volatility Cone indicator projects the potential future price range of a stock based on recent volatility. It calculates rolling standard deviation from log returns over a defined window, then uses a confidence interval to estimate the upper and lower bounds the price could reach over a future time horizon. These bounds are plotted directly on the chart, offset into the future, allowing traders to visualize expected price dispersion under a geometric Brownian motion assumption. This tool is useful for risk management, trade planning, and visualizing the potential impact of volatility.
Adaptive Dual MA Trend FilterAdaptive Dual MA Trend Filter is a versatile Pine Script™ indicator that delivers clear, reliable trend signals using customizable moving averages:
Dual‑Stage Filtering – Apply any traditional MA (SMA, EMA, VWMA, HMA, RMA, TEMA, DEMA, FRAMA, TRIMA) or advanced smoothing (ALMA, T3) as your “main” and “filter” MAs. The filter MA is double‑smoothed for noise suppression, then converted into a robust “double‑filtered” baseline.
Flexible Inputs – Select lengths, sources (close, high, low, hl2), offsets, sigma, and volume factors to tailor the responsiveness and smoothness to your favorite timeframe or asset class.
Intuitive Signals – The script detects confirmed bullish (green) and bearish (red) trend shifts as:
Circle marker on the MA line
Triangle arrows below/above bars
Full candles and MA line colored by current trend
Clean Overlay – Works directly on your price chart, with optional semi‑transparent fills for extra visual clarity.
Theme Support – Choose from Vibrant, Pastel, Neon, Classic, Monochrome, Solarized, or Material palettes for seamless chart styling.
Ideal for swing traders and intraday scalpers alike, Multi‑Source Double‑Filter Trend offers both “set‑and‑forget” simplicity and deep customization for power users.
Usage
Add to chart → Inputs → tweak MA types/lengths
Watch for color changes and markers
Combine with volume or momentum filters for entry confirmation
Enjoy clearer trend identification and smoother trade signals!
Disclaimer
This script is for educational and informational purposes only. Not financial advice. Use at your own risk.
EMA Break & Retest + Trend TableThis script is designed to identify potential buy and sell trading opportunities based on 21 EMA (Exponential Moving Average) break and retest patterns, with confirmation from multi-timeframe trend analysis. It combines actionable signal generation with a clean, real-time trend overview table.
✅ 1. EMA Break & Retest Logic
Detects when the price crosses above or below the 21 EMA and then closes in the direction of the breakout.
Generates buy signals on upward break/retest, and sell signals on downward break/retest.
✅ 2. Multi-Timeframe Confirmation
Filters signals using higher timeframe trends to avoid false entries.
Buy signals are shown only if the 1H or 4H trend is bullish.
Sell signals are shown only if the 1H or 4H trend is bearish.
✅ 3. Visual Signal Plotting
Displays green "BUY" labels below bars and red "SELL" labels above bars.
Users can toggle buy/sell signals on or off with checkboxes.
✅ 4. Alerts
Built-in alertcondition() functions allow traders to set real-time alerts when buy or sell signals are triggered.
✅ 5. Multi-Timeframe Trend Table
A dynamic table appears in the top-right corner showing trend status across:
Daily (D)
4 Hour (4H)
1 Hour (1H)
15 Minute (15M)
5 Minute (5M)
Each timeframe is marked as Bullish (green) or Bearish (red) depending on the current price vs. 21 EMA.
The latest signal (“BUY” / “SELL” / “—”) is displayed at the bottom of the table.
SuperTrade ST1 StrategyOverview
The SuperTrade ST1 Strategy is a long-only trend-following strategy that combines a Supertrend indicator with a 200-period EMA filter to isolate high-probability bullish trade setups. It is designed to operate in trending markets, using volatility-based exits with a strict 1:4 Risk-to-Reward (R:R) ratio, meaning that each trade targets a profit 4× the size of its predefined risk.
This strategy is ideal for traders looking to align with medium- to long-term trends, while maintaining disciplined risk control and minimal trade frequency.
How It Works
This strategy leverages three key components:
Supertrend Indicator
A trend-following indicator based on Average True Range (ATR).
Identifies bullish/bearish trend direction by plotting a trailing stop line that moves with price volatility.
200-period Exponential Moving Average (EMA) Filter
Trades are only taken when the price is above the EMA, ensuring participation only during confirmed uptrends.
Helps filter out counter-trend entries during market pullbacks or ranges.
ATR-Based Stop Loss and Take Profit
Each trade uses the ATR to calculate volatility-adjusted exit levels.
Stop Loss: 1× ATR below entry.
Take Profit: 4× ATR above entry (1:4 R:R).
This asymmetry ensures that even with a lower win rate, the strategy can remain profitable.
Entry Conditions
A long trade is triggered when:
Supertrend flips from bearish to bullish (trend reversal).
Price closes above the Supertrend line.
Price is above the 200 EMA (bullish market bias).
Exit Logic
Once a long position is entered:
Stop loss is set 1 ATR below entry.
Take profit is set 4 ATR above entry.
The strategy automatically exits the position on either target.
Backtest Settings
This strategy is configured for realistic backtesting, including:
$10,000 account size
2% equity risk per trade
0.1% commission
1 tick slippage
These settings aim to simulate real-world conditions and avoid overly optimistic results.
How to Use
Apply the script to any timeframe, though higher timeframes (1H, 4H, Daily) often yield more reliable signals.
Works best in clearly trending markets (especially in crypto, stocks, indices).
Can be paired with alerts for live trading or analysis.
Important Notes
This version is long-only by design. No short positions are executed.
Ideal for swing traders or position traders seeking asymmetric returns.
Users can modify the ATR period, Supertrend factor, or EMA filter length based on asset behavior.
21 EMA + VWAP Trend Bias
21 EMA + VWAP Trend Bias
This indicator combines the 21-period Exponential Moving Average (EMA) and the Volume-Weighted Average Price (VWAP) to provide a simple yet effective visual trend bias tool.
🔍 Core Features:
21 EMA Line (Orange): Tracks the short-to-mid-term price trend.
VWAP Line (Blue): Reflects the average trading price, weighted by volume, often used by institutional traders.
Trend Bias Highlight:
Green Background: Bullish bias — price is above both the 21 EMA and VWAP.
Red Background: Bearish bias — price is below both the 21 EMA and VWAP.
No Background: Neutral or mixed signals.
⚙️ Use Cases:
Quickly assess market trend direction at a glance.
Confirm entry or exit signals with dual-layer trend validation.
Great for intraday and swing traders who value clean, unobtrusive chart setups.
weighted support or resistance linesQ: Why should users choose this script?
A: I found that in all the publicly available scripts about support and resistance lines, there is basically no weight identification for these lines. In other words, users do not know which support or resistance lines are the most important. So I specifically wrote this script.
1. By adjusting the weights, only the most effective support or resistance lines are displayed. (Length threshold of trend price (Bar))
2. By selecting the number of K-lines, only the latest number of support or resistance lines generated will be displayed. (Maximum number of reserved S/R lines)
3. By selecting whether to automatically remove lines, only support or resistance lines that have not been penetrated by the k-line will be displayed. If this function is checked, the weight can be adjusted lower, as high-weight SR may have already been penetrated, and the newly generated SR may have a lower weight. (Automatically remove lines penetrated by closing price confirmation)
4. Notes: The default parameters work well in 15-minute candlestick charts. For candlestick charts with other time periods, the parameters can be adjusted appropriately. It is suitable for sideways trading but not for strong trends.
5. I'm quite satisfied with the performance of the script, as I specifically optimized it, lol
