🚨 Oliver Velez 20 50 200 Triple Cross + Ghost Cross DeluxeThis indicator is based on Oliver Velez power setup, when price crosses the 20MA and the 50MA or the 20MA and the 200MA the candles are painted to help reduce confusion. All setups won't be as powerful as his "Boom" But you can get at least 3-4 bars from it on any time frame! Enjoy!
Médias Móveis
Moving Average Crossover by mashrur 🔵 How This Indicator Works:
Short MA (9-period Simple Moving Average)
Long MA (21-period Simple Moving Average)
Signals:
Buy when Short MA crosses above Long MA.
Sell when Short MA crosses below Long MA.
On the chart:
Green up labels = Buy signals 🚀
Red down labels = Sell signals 🔻
✍️ How to Take an Entry:
Wait for a Signal
Look for a green up label = Buy signal.
Look for a red down label = Sell signal.
Enter the Trade
If Buy signal appears → Open a Buy (Long) trade.
If Sell signal appears → Open a Sell (Short) trade.
Set Stop Loss (SL) and Take Profit (TP) (important!)
Stop Loss:
For Buy, place SL below the recent swing low.
For Sell, place SL above the recent swing high.
Take Profit:
You can use a Risk:Reward like 1:2 (risking 10 pips to make 20 pips).
Or exit when the opposite signal comes (if another crossover happens).
Optional: Add Confirmation
You could add extra filters like:
Only take Buys if the market is in an overall uptrend (higher highs, higher lows).
Only take Sells in downtrends.
🧠 Important Tips:
Don't enter late! → Try to enter right when the signal appears.
Be careful during sideways (choppy) markets! → MA crossovers can give false signals when the market is flat.
Use alerts → Your code already has alerts ready! Set them up on TradingView so you don't miss entries.
📈 Example (Visual):
Imagine the chart shows:
Price is going up.
The blue (Short MA) crosses above the red (Long MA).
A green label appears under the candle.
👉 You would enter a Buy right at that candle close.
👉 Stop Loss: just under the recent low.
👉 Take Profit: 2x your risk or at next resistance.
EMA Crossover with Signalswhen the 8 ema line crosses above the 50 ema, a buy signal is initiated. Will not paint again for 24 hours. Should a candle touch the 20 ema line to the downside, a orange X will appear - helps for raising your stop-loss or closing your order.
Hull Suite MTF Dashboard📊 Hull Suite MTF Dashboard
This script provides an advanced multi-timeframe (MTF) analysis of the Hull Moving Average (HMA), EHMA, and THMA variations, presenting a real-time visual dashboard on your chart. It's ideal for traders who need an accurate and fast way to monitor Hull trends across multiple timeframes — 3m, 5m, 15m, and 30m — in one place.
🔍 Key Features:
✅ Multiple Hull Moving Average variations (HMA, EHMA, and THMA)
✅ Visual representation of Hull MAs and bands
✅ Color-coded trend labels for quick market direction
✅ Candles colored based on Hull trend direction
✅ Alert conditions for all timeframes trending in the same direction (Bullish or Bearish)
✅ Crossovers and crossunders alerts for real-time trend reversals
📈 How it works:
The Hull Moving Average (HMA), Exponential Hull Moving Average (EHMA), and Triangular Hull Moving Average (THMA) are calculated based on the selected mode, with the trend direction displayed for the chart's timeframe and 4 other timeframes.
The dashboard updates automatically to reflect the current trend for 3m, 5m, 15m, and 30m timeframes, showing whether each timeframe is in an Uptrend (green) or Downtrend (red).
Alerts trigger when all timeframes align in the same direction (either all Up or all Down), plus alerts for Hull crossovers and crossunders to detect trend changes.
This indicator is built for clarity and precision using Pine Script v5 and provides a multi-timeframe analysis tool for both scalping and swing trading strategies.
2 EMA Scalping & Trend Flow (Bounce & Re-entry Strategy)
🧠 Overview
This is a powerful, lightweight trading strategy built on the classic 2 EMA crossover system, refined with modern enhancements for scalping, swing trading, or trend-following.
It adds clean exit, re-entry, bounce detection, and higher timeframe trend filtering — all with minimal chart clutter and maximum clarity.
⚙️ How It Works
EMA Crossover:
Buy Signal ➔ When Fast EMA (9) crosses above Slow EMA (21)
Sell Signal ➔ When Fast EMA (9) crosses below Slow EMA (21)
Exit Logic:
Exit Long ➔ When price crosses below Fast EMA after a Buy.
Exit Short ➔ When price crosses above Fast EMA after a Sell.
Re-entry Logic:
If exited, re-entry is allowed when price reclaims the Fast EMA in the original signal direction.
Bounce Logic:
If price touches EMA 9 or EMA 21 and shows a strong candle in the direction of the last signal, a bounce 🔁 is detected.
Optional filter to ensure bounce candles have a minimum 60% body size.
Higher Timeframe Context (Optional Table):
Real-time higher timeframe trend based on EMA crossovers.
15m, 30m, 1H, and 4H trends shown with color coding.
Helps align trades with broader market momentum.
🎨 Customization Features
Toggle EMA Cross labels (Buy/Sell) ON/OFF (unchecked by default)
Adjust EMA lengths
Customize Re-entry Candle Colors
Customize Table Position
Option to display "BUY"/"SELL" text in the trend table
🎯 Why Use This Indicator?
Combines trend trading, pullback confirmation, and higher timeframe alignment into one tool.
Ultra clean design — signals only where they matter.
No unnecessary noise — perfect for serious traders.
Fully customizable for scalping, intraday, or swing setups.
Looks amazing on both light and dark charts.
✅ Designed for:
Scalpers
Intraday traders
Swing traders
Anyone who loves clean, reliable technical signals!
🛠 Default Settings:
Fast EMA = 9
Slow EMA = 21
Bounce minimum candle body = 60%
EMA Cross Labels OFF by default for clean visuals
Table layout = Vertical (2 columns × 4 rows)
💬 Notes
Re-entry and Bounce signals are additional confirmation — not mandatory.
Use the Higher Timeframe Table to trade with broader market flow.
Always apply good risk management!
🚀 Enjoy and trade smartly!
If you love it, don't forget to like and favorite ❤️
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How to Use the Trend Table (Perfect Guide)
1️⃣ What the Table Shows:
The table is a live dashboard that shows the current EMA 9 vs EMA 21 status on these higher timeframes:
Rows (Timeframe):
15 Minutes (15m), 30 Minutes (30m), 1 Hour (1H) and 4 Hours (4H)
Each row has two parts:
Columns:
* The timeframe name (like 15m, 30m, 1H, 4H)
* Background color showing trend (green = buy trend, red = sell trend)
✅ You can also choose whether to show the text "BUY" / "SELL" or only color by checking/unchecking Show 'BUY/SELL' Text in Table in settings.
2️⃣ What the Colors Mean:
Color ============= Meaning
Green background == Fast EMA (9) is above Slow EMA (21) ➔ Bullish trend (favor Buy trades)
Red background ==== Fast EMA (9) is below Slow EMA (21) ➔ Bearish trend (favor Sell trades)
✅ The color is updated LIVE — it doesn’t wait for higher timeframe candle to close.
3️⃣ How to Interpret the Table:
You use the table to quickly confirm if you should favor buying or selling based on higher timeframe flows.
Basic Rules:
* If most timeframes (especially 1H and 4H) are Green ➔ Prefer taking Buy entries.
* If most timeframes are Red ➔ Prefer taking Sell entries.
* If the table is mixed (some green, some red) ➔ Be careful, market might be choppy.
4️⃣ Practical Use Cases:
Example 1:
You see a BUY signal on your current chart.
✅ Check the table:
15m ==== 30m === 1H ===== 4H
Green == Green == Green == Green
➔ Perfect! Strong bullish environment.
➔ You can take the Buy signal confidently.
Example 2:
You see a SELL signal on your current chart.
✅ Check the table:
15m == 30m == 1H === 4H
Red == Red === Red == Green
➔ 15m/30m/1H are Bearish, but 4H is still Bullish.
➔ You can still take the Sell trade, but take profits quicker or use tighter stop-loss — because big timeframe still bullish.
Example 3:
You see a BUY signal on chart but table shows:
15m == 30m == 1H == 4H
Red === Red == Red == Red
➔ NO GO.
➔ Avoid buying against strong bearish higher timeframe.
➔ Either skip the trade or wait for next clearer signal.
5️⃣ Extra Pro Tips:
✅ Weight the timeframes — 1H and 4H are more powerful than 15m and 30m.
✅ When 1H and 4H are in same direction, the smaller timeframes usually align soon after.
✅ Avoid trading when 15m and 30m are choppy and 1H/4H disagree.
✅ Use table as a "weather forecast" — don't trade if weather looks stormy (mixed colors).
✅ Best confirmation is:
🔥 Short Summary:
Step ===== Action
1 ======== See if your Buy/Sell signal appeared
2 ======== Check the Table
3 ======== If 1H and 4H agree ➔ Execute the trade
4 ======== If not ➔ Wait, or adjust risk smaller
✅ Now you can:
* Use the Entry from 2 EMA crossover
* Confirm Trend Direction with Table
* Use Exit ❌, Bounce 🔁, and Re-entry signals
* Trade like a pro, not a gambler 🎯
Moving Average ToolkitMoving Average Toolkit - Advanced MA Analysis with Flexible Source Input
A powerful and versatile moving average indicator designed for maximum flexibility. Its unique source input feature allows you to analyze moving averages of ANY indicator or price data, making it perfect for creating custom combinations with RSI, Volume, OBV, or any other technical indicator.
Key Features:
• Universal Source Input:
- Analyze moving averages of any data: Price, Volume, RSI, MACD, Custom Indicators
- Perfect for creating advanced technical setups
- Identify trends in any technical data
• 13 Moving Average Types:
- Traditional: SMA, EMA, WMA, RMA, VWMA
- Advanced: HMA, T3, DEMA, TEMA, KAMA, ZLEMA, McGinley, EPMA
• Dual MA System:
- Compare two different moving averages
- Independent settings for each MA
- Perfect for multiple timeframe analysis
• Visual Offset Analysis:
- Dynamic color changes based on momentum
- Fill between current and offset values
- Clear visualization of trend strength
Usage Examples:
• Price Trend: Traditional MA analysis using price data
• Volume Trend: Apply MA to volume for volume trend analysis
• RSI Trend: Smooth RSI movements for clearer signals
• Custom: Apply to any indicator output for unique insights
Settings:
• Fully customizable colors for bull/bear conditions
• Adjustable offset periods
• Independent length settings
• Optional second MA for comparison
Perfect for:
• Advanced technical analysts
• Multi-indicator strategy developers
• Custom indicator creators
• Traders seeking flexible analysis tools
This versatile toolkit goes beyond traditional moving averages by allowing you to apply sophisticated MA analysis to any technical data, creating endless possibilities for custom technical analysis strategies.
Ultimate-Price Action + EMASMarket Structure With volumetric OrderBlocks and Swing Order Blocks. It Identifies Fair Value Gaps and has a customizable EMA Ribbon with 12, 20,50,200 high lighted a perfect all in one indicator for a free version of tradingview. Enjoy
BTC Price-Volume Efficiency Z-Score (PVER-Z)Overview:
This PVER-Z Score measures Bitcoin’s price movement efficiency relative to trading volume, normalized using a Z-Score over a long-term 200-day period.
It highlights statistically rare inefficiencies, helping investors spot extreme accumulation and distribution zones for systematic SDCA strategies.
Concept:
- Measures how efficiently price has moved relative to the volume that supported it over a long historical window (Default 200 days) but can be adjustable.
- It compares cumulative price changes vs cumulative volume flow.
- Then normalizes those inefficiencies using Z-Score statistics.
How It Works:
1. Calculates the absolute daily price change divided by volume (price-volume efficiency ratio).
2. Applies EMA smoothing to remove noisy fluctuations.
3. Normalizes the result into a Z-Score to detect statistically significant outliers.
4. Plots dynamic heatmap colors as the efficiency score moves through different deviation zones.
5. Background fills appear when the Z-Score moves beyond ±2 to ±3 SD, signaling rare macro opportunities.
Why is Bitcoin price rising while PVER-Z is falling toward green zone?
1. PVER-Z is not just "price" — it's price change relative to volume. PVER-Z measures how efficient the price movement is relative to volume. It's not "price going up" or "price going down" directly. It's how unusual or inefficient the price versus volume relationship is, compared to its historical average.
2. A rising Bitcoin price + weak efficiency = PVER-Z falls.
If Bitcoin rises but volume is super strong (normal buying volume), no problem, the PVER-Z stays normal. If Bitcoin rises but with very weak volume support, PVER-Z falls.
***Usage Notes***:
- Best used on the daily timeframe or higher.
- When the Z-Score enters the green zone (-2 to -3 SD), it signals a historically rare accumulation zone — favoring long-term buying for SDCA.
- When the Z-Score enters the red zone (+2 to +3 SD), it signals overextended distribution — caution recommended.
- Designed strictly for mean-reversion analysis, no trend-following signals.
- The red zone on a proper Z chart would be -2SD to -3SD and +2SD to +3SD for the green zone. At the time of publishing I do not know how to adjust the values on the indicator itself. The red zone at -2SD is actually +2 Standard Deviations on a Z Score SD Chart. (overbought zone).
- Your green zone at +2SD is actually -2SD Standard Deviations (oversold zone).
- Built manually with no reliance on built-in indicators
- Designed for Bitcoin on the 1D, 3D, or Weekly timeframes. NOT for intraday trading.
- DO NOT SOELY RELY ON THIS INDICATOR FOR YOUR LONG TERM VALUATION. I AM NOT RESPONSIBLE FOR YOUR FINANICAL ASSETS.
MSS + Confirmation + RSI + Strong Candle FilterMSS Strong Confirmed Indicator
This indicator is designed to detect only the strongest entry opportunities based on strict conditions:
✅ MSS (Market Structure Shift) detection.
✅ Waiting for a strong confirmation candle (body > 60% of total candle length).
✅ RSI filter (above 50 for Long, below 50 for Short).
✅ AlphaTrend trend confirmation.
✅ Automatic drawing of Take Profit (TP) and Stop Loss (SL) levels.
Only rare, high-probability entries are shown — no noise, no false signals.
Ideal for traders who prioritize accuracy and quality over quantity.
Script created and designed by Taha Shalata 💎🚀
5 EMA Crossover Indicator5 EMA Crossover. I use it in conjunction with other confluences. It best used on the 15m TF.
Gabriel's Adaptive MA📜 Gabriel's Adaptive MA — Indicator Description
Gabriel's Adaptive Moving Average (GAMA) is a dynamic trend-following indicator that intelligently adjusts its smoothing based on both trend strength and market volatility.
It is designed to provide faster responsiveness during strong moves while maintaining stability during choppy or consolidating periods.
🧠 What it does:
This indicator plots a custom-built, highly dynamic Moving Average that adapts itself intelligently based on:
Trend Strength (via Perry Kaufman's Efficiency Ratio)
Market Volatility (via Tushar Chande's Volatility Ratio)
It reacts faster when the market is trending strongly and/or highly volatile,
and it smooths out and slows down when the market is choppy or calm.
🔍 How it works (step-by-step):
1. User Inputs:
length: (default 14)
How many bars to look back for calculations.
fastSC: Fastest possible smoothing constant (hardcoded as 2 / (2+1))
slowSC: Slowest possible smoothing constant (hardcoded as 2 / (30+1))
(These are used to control how fast/slow the KAMA can react.)
2. Calculate Trendiness — Kaufman Efficiency Ratio (ER):
Net Change = Absolute difference between current close and close from length bars ago.
Sum of Absolute Changes = Sum of absolute price changes between every bar inside the length window.
Efficiency Ratio (ER) = Net Change divided by Sum of Changes.
✅ If ER is close to 1 → Smooth, trending market.
✅ If ER is close to 0 → Choppy, sideways market.
3. Calculate Bumpiness — Volatility Ratio (VR):
Short-Term Volatility = Standard deviation of close over length.
Long-Term Volatility = Standard deviation of close over length * 2.
Volatility Ratio (VR) = Short-Term Volatility divided by Long-Term Volatility.
✅ If VR is >1 → Market is becoming more volatile recently.
✅ If VR is <1 → Market is calming down.
4. Create the Hybrid Alpha:
Multiply ER × VR.
Then square the result (math.pow(..., 2)).
This hybrid alpha decides how aggressive the MA should be based on both trend and volatility.
If ER and VR are both strong → big alpha → fast movement.
If ER and/or VR are weak → small alpha → slow movement.
5. Calculate the Final Adaptive Smoothing Constant (hybridSC):
hybridSC = slowSC + hybridAlpha × (fastSC - slowSC)
This smoothly interpolates between the slowest and fastest smoothing depending on market conditions.
6. Calculate and Plot the Adaptive MA:
The moving average is manually calculated:
hybridMA := na(hybridMA ) ? close : hybridMA + hybridSC * (close - hybridMA )
It behaves like an EMA but with dynamic smoothing, not a fixed alpha.
✅ If hybridSC is high → MA hugs the price closely.
✅ If hybridSC is low → MA stays smooth and resists noise.
Finally, it plots this Adaptive MA on the chart in blue color.
📊 Visual Summary
Market Type What Happens to GAMA
Trending hard + volatile Follows price quickly
Trending hard + calm Follows steadily but carefully
Sideways + volatile Reacts carefully (won't chase noise)
Sideways + calm Smooths heavily (avoids fakeouts)
✨ Main Strengths:
Adapts automatically without you tuning settings manually every time market changes.
Responds smartly to both trend quality (ER) and market energy (VR).
Reduces lag during real moves.
Filters out false signals during choppy mess.
🧪 Key Innovation compared to normal MAs:
Traditional MA Gabriel's Adaptive MA
Same smoothing every bar Dynamic smoothing every bar
Slow during fast moves Adapts fast during real moves
No understanding of volatility or trendiness Full market sensitivity
⚡ **Simple One-Line Description:**
"Gabriel's Adaptive MA is a dynamic, trend-and-volatility-sensitive moving average that intelligently adjusts its speed to match market conditions."
5 EMA Crossover Indicator5 EMA crossover with buy and sell signals to be used as confluence - best results in the 15m time frame
🔥 The Freak of Wall St.🔥 The Freak of Wall St.
The Freak of Wall St. is a high-precision trend-trading indicator for scalping and swing trading. It generates clear "BUY" and "SELL" signals based on a smoothed SuperTrend structure, enhanced with volatility and trend filters.
Each trade setup automatically plots:
- ✅ Entry Line
- ✅ Stop Loss (SL) Line
- ✅ Take Profit 1 (TP1)
- ✅ Take Profit 2 (TP2)
- ✅ Take Profit 3 (TP3)
Use the system by entering near the Entry line after a signal triggers, setting your SL accordingly, and optionally taking profits at the TP levels.
Designed for 1s, 1m, 5m, 15m, 1h, or 4h charts across Forex, Crypto, Stocks, and Indices.
⚡ Recommended:
- Enable Volatility and Trend filters for higher-quality signals.
- Manage your risk properly (1%-2% per trade).
- Avoid trading major news events.
- Use indicator on Futures NQ1! Asset Pair and pair this with a 1-Second Renko Chart for prime optimization.
Clear structure. Visual clarity. No emotions.
Trade like a freak of Wall St. 🧠🔥
Multi-Day VWAP, current session only)Variation on multi day vwap, where you can choose to display 1, 2 and 3 day vwap, but only plot the current session. So each session has all 3 plots. This is especially useful for backtesting purposes. St. deviation bands included as usual.
Cointegration Buy and Sell Signals [EdgeTerminal]The Cointegration Buy And Sell Signals is a sophisticated technical analysis tool to spot high-probability market turning points — before they fully develop on price charts.
Most reversal indicators rely on raw price action, visual patterns, or basic and common indicator logic — which often suffer in noisy or trending markets. In most cases, they lag behind the actual change in trend and provide useless and late signals.
This indicator is rooted in advanced concepts from statistical arbitrage, mean reversion theory, and quantitative finance, and it packages these ideas in a user-friendly visual format that works on any timeframe and asset class.
It does this by analyzing how the short-term and long-term EMAs behave relative to each other — and uses statistical filters like Z-score, correlation, volatility normalization, and stationarity tests to issue highly selective Buy and Sell signals.
This tool provides statistical confirmation of trend exhaustion, allowing you to trade mean-reverting setups. It fades overextended moves and uses signal stacking to reduce false entries. The entire indicator is based on a very interesting mathematically grounded model which I will get into down below.
Here’s how the indicator works at a high level:
EMAs as Anchors: It starts with two Exponential Moving Averages (EMAs) — one short-term and one long-term — to track market direction.
Statistical Spread (Regression Residuals): It performs a rolling linear regression between the short and long EMA. Instead of using the raw difference (short - long), it calculates the regression residual, which better models their natural relationship.
Normalize the Spread: The spread is divided by historical price volatility (ATR) to make it scale-invariant. This ensures the indicator works on low-priced stocks, high-priced indices, and crypto alike.
Z-Score: It computes a Z-score of the normalized spread to measure how “extreme” the current deviation is from its historical average.
Dynamic Thresholds: Unlike most tools that use fixed thresholds (like Z = ±2), this one calculates dynamic thresholds using historical percentiles (e.g., top 10% and bottom 10%) so that it adapts to the asset's current behavior to reduce false signals based on market’s extreme volatility at a certain time.
Z-Score Momentum: It tracks the direction of the Z-score — if Z is extreme but still moving away from zero, it's too early. It waits for reversion to start (Z momentum flips).
Correlation Check: Uses a rolling Pearson correlation to confirm the two EMAs are still statistically related. If they diverge (low correlation), no signal is shown.
Stationarity Filter (ADF-like): Uses the volatility of the regression residual to determine if the spread is stationary (mean-reverting) — a key concept in cointegration and statistical arbitrage. It’s not possible to build an exact ADF filter in Pine Script so we used the next best thing.
Signal Control: Prevents noisy charts and overtrading by ensuring no back-to-back buy or sell signals. Each signal must alternate and respect a cooldown period so you won’t be overwhelmed and won’t get a messy chart.
Important Notes to Remember:
The whole idea behind this indicator is to try to use some stat arb models to detect shifting patterns faster than they appear on common indicators, so in some cases, some assumptions are made based on historic values.
This means that in some cases, the indicator can “jump” into the conclusion too quickly. Although we try to eliminate this by using stationary filters, correlation checks, and Z-score momentum detection, there is still a chance some signals that are generated can be too early, in the stock market, that's the same as being incorrect. So make sure to use this with other indicators to confirm the movement.
How To Use The Indicator:
You can use the indicator as a standalone reversal system, as a filter for overbought and oversold setups, in combination with other trend indicators and as a part of a signal stack with other common indicators for divergence spotting and fade trades.
The indicator produces simple buy and sell signals when all criteria is met. Based on our own testing, we recommend treating these signals as standalone and independent from each other . Meaning that if you take position after a buy signal, don’t wait for a sell signal to appear to exit the trade and vice versa.
This is why we recommend using this indicator with other advanced or even simple indicators as an early confirmation tool.
The Display Table:
The floating diagnostic table in the top-right corner of the chart is a key part of this indicator. It's a live statistical dashboard that helps you understand why a signal is (or isn’t) being triggered, and whether the market conditions are lining up for a potential reversal.
1. Z-Score
What it shows: The current Z-score value of the volatility-normalized spread between the short EMA and the regression line of the long EMA.
Why it matters: Z-score tells you how statistically extreme the current relationship is. A Z-score of:
0 = perfectly average
> +2 = very overbought
< -2 = very oversold
How to use it: Look for Z-score reaching extreme highs or lows (beyond dynamic thresholds). Watch for it to start reversing direction, especially when paired with green table rows (see below)
2. Z-Score Momentum
What it shows: The rate of change (ROC) of the Z-score:
Zmomentum=Zt − Zt − 1
Why it matters: This tells you if the Z-score is still stretching out (e.g., getting more overbought/oversold), or reverting back toward the mean.
How to use it: A positive Z-momentum after a very low Z-score = potential bullish reversal A negative Z-momentum after a very high Z-score = potential bearish reversal. Avoid signals when momentum is still pushing deeper into extremes
3. Correlation
What it shows: The rolling Pearson correlation coefficient between the short EMA and long EMA.
Why it matters: High correlation (closer to +1) means the EMAs are still statistically connected — a key requirement for cointegration or mean reversion to be valid.
How to use it: Look for correlation > 0.7 for reliable signals. If correlation drops below 0.5, ignore the Z-score — the EMAs aren’t moving together anymore
4. Stationary
What it shows: A simplified "Yes" or "No" answer to the question:
“Is the spread statistically stable (stationary) and mean-reverting right now?”
Why it matters: Mean reversion strategies only work when the spread is stationary — that is, when the distance between EMAs behaves like a rubber band, not a drifting cloud.
How to use it: A "Yes" means the indicator sees a consistent, stable spread — good for trading. "No" means the market is too volatile, disjointed, or chaotic for reliable mean reversion. Wait for this to flip to "Yes" before trusting signals
5. Last Signal
What it shows: The last signal issued by the system — either "Buy", "Sell", or "None"
Why it matters: Helps avoid confusion and repeated entries. Signals only alternate — you won’t get another Buy until a Sell happens, and vice versa.
How to use it: If the last signal was a "Buy", and you’re watching for a Sell, don’t act on more bullish signals. Great for systems where you only want one position open at a time
6. Bars Since Signal
What it shows: How many bars (candles) have passed since the last Buy or Sell signal.
Why it matters: Gives you context for how long the current condition has persisted
How to use it: If it says 1 or 2, a signal just happened — avoid jumping in late. If it’s been 10+ bars, a new opportunity might be brewing soon. You can use this to time exits if you want to fade a recent signal manually
Indicator Settings:
Short EMA: Sets the short-term EMA period. The smaller the number, the more reactive and more signals you get.
Long EMA: Sets the slow EMA period. The larger this number is, the smoother baseline, and more reliable trend bases are generated.
Z-Score Lookback: The period or bars used for mean & std deviation of spread between short and long EMAs. Larger values result in smoother signals with fewer false positives.
Volatility Window: This value normalizes the spread by historical volatility. This allows you to prevent scale distortion, showing you a cleaner and better chart.
Correlation Lookback: How many periods or how far back to test correlation between slow and long EMAs. This filters out false positives when EMAs lose alignment.
Hurst Lookback: The multiplier to approximate stationarity. Lower leads to more sensitivity to regime change, higher produces a more stricter filtering.
Z Threshold Percentile: This value sets how extreme Z-score must be to trigger a signal. For example, 90 equals only top/bottom 10% of extremes, 80 = more frequent.
Min Bars Between Signals: This hard stop prevents back-to-back signals. The idea is to avoid over-trading or whipsaws in volatile markets even when Hurst lookback and volatility window values are not enough to filter signals.
Some More Recommendations:
We recommend trying different EMA pairs (10/50, 21/100, 5/20) for different asset behaviors. You can set percentile to 85 or 80 if you want more frequent but looser signals. You can also use the Z-score reversion monitor for powerful confirmation.
Scalping Strategy with Fixed CooldownThis is a sample scalping strategy is designed for short-term trading on lower timeframes.
Entry Signals: Utilizes Hull Moving Average (HullMA) crossovers to generate buy and sell signals.
Filters:
-Bollinger Bands and RSI to avoid overbought or oversold conditions.
-VWAP to confirm trend direction, ensuring trades align with momentum.
Cooldown Mechanism: Implements a bar-based cooldown period to prevent immediate re-entries after trade closures, reducing the risk of overtrading.
LotusThis Pine Script is designed to plot multiple moving averages (SMA and EMA) on the chart, with dynamic color changes based on whether the price is above or below each moving average. The script includes customizable inputs for different SMA and EMA lengths, and each moving average has its own color scheme, which changes depending on the market price's position relative to the moving average.
Features:
Multiple Moving Averages:
SMA (Simple Moving Average) SELL: Configured with a default length of 22. This moving average is used for determining the "SELL" zone, and its color changes based on price action.
SMA (Simple Moving Average) CONTROL: Configured with a default length of 200. This moving average is a longer-term trend indicator used as a "control" reference. It’s color changes as well depending on price action.
SMA (Simple Moving Average) BUY: Configured with a default length of 50. This moving average acts as the "BUY" zone, where color changes help signal when price is above or below this moving average.
EMA (Exponential Moving Average): Configured with a default length of 13, which reacts more quickly to price changes compared to SMA. It’s plotted but hidden by default.
Dynamic Color Changes: Each moving average has two color states:
When the price is above the moving average, the color shifts to a positive tone, signaling potential buy signals.
When the price is below the moving average, the color turns negative, signaling potential sell or warning zones.
Colors used are:
SMA SELL: Green when above, Red when below.
SMA CONTROL: Blue when above, Red when below.
SMA BUY: Blue when above, Red when below.
EMA: Dark tone when above, Blue tone when below.
Customizable Inputs:
SMA 22 (SELL), SMA 200 (CONTROL), SMA 50 (BUY), and EMA 13 can be adjusted via the input panel to suit different trading strategies.
Source for calculations: The default source for all calculations is the close price.
Plotting and Visibility:
The SMA 22 and EMA 13 are hidden by default but can be revealed as per user preferences.
The SMA 200 and SMA 50 are visible by default for comparison.
How the Script Works:
Color Logic:
The moving averages are colored based on the position of the price relative to the moving average:
Green (Up trend): Price is above the moving average.
Red (Down trend): Price is below the moving average.
Blue (Neutral): For the SMA 50 and EMA, price is either neutral or ranging.
Dynamic Indicators:
The SMA SELL (22) helps traders spot short-term selling opportunities when the price is below this line.
The SMA CONTROL (200) helps gauge the long-term trend and acts as a control line.
The SMA BUY (50) is considered a neutral or buy zone, where the price is seen as more favorable for buying when above the line.
The EMA 13 reacts quickly to price changes, providing faster signals for traders looking for a more dynamic approach.
How to Use:
Trend Confirmation: Use the SMA 200 (Control line) for long-term trend confirmation.
Entry and Exit:
Buy: Look for price above the SMA 50 (BUY) and the SMA 22 (SELL) showing an uptrend.
Sell: Watch for price below the SMA 50 (BUY) or SMA 22 (SELL) indicating a possible downtrend or a selling opportunity.
EMA 13: Acts as a faster, more responsive trend indicator that can be used for shorter time-frame trades.
Example:
SMA SELL (22): The green line suggests potential buying opportunities when the price is above it. The red line suggests possible selling when the price is below.
SMA CONTROL (200): This acts as the primary trend indicator. If the price is above this, the long-term trend is bullish. If the price is below, the long-term trend is bearish.
SMA BUY (50): When the price is above this line, it indicates a favorable buying zone. When the price is below it, it suggests a potential bearish move.
EMA 13: Often used for short-term trades, especially when the price is moving quickly either above or below it.
Customization:
You can adjust the lengths of the SMA SELL, SMA CONTROL, SMA BUY, and EMA based on your personal strategy or trading style.
Modify the colors of each moving average line to better suit your chart preferences.
This script is suitable for traders looking to combine trend-following and short-term trading strategies using moving averages. It allows for an adaptable approach with visual cues based on the price's relationship with key moving averages.
EMA20/50/100/200 with extended lines and labels by TradeCrafted📈 EMA20/50/100/200 with Extended Lines and Labels by TradeCrafted
Overview
This script plots four key Exponential Moving Averages (EMAs) — 20, 50, 100, and 200 — directly on the chart for enhanced trend visualization.
In addition to the standard plots, it extends each EMA forward with a projected line, helping traders anticipate potential future dynamic support and resistance zones.
Clear, color-coded labels are attached to each EMA, updating live to improve chart readability without clutter.
This tool is designed for educational and informational purposes only and does not provide financial advice or guaranteed trading results.
✨ Features
Plots EMA 20, EMA 50, EMA 100, and EMA 200 in distinct colors.
Extends each EMA line forward by a user-defined number of bars.
Dynamic floating labels show the EMA name and live value.
Minimalistic and clean design, ideal for all trading styles.
Open-source and customizable for user transparency.
📚 Usage
Use this indicator to:
Identify overall market trends across different timeframes.
Spot potential areas of dynamic support and resistance.
Observe EMA crossovers for possible trend shifts.
⚠️ Disclaimer
This script is intended for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any asset.
Always perform your own analysis before making trading decisions.
Multi EMA OverlayThe Multi EMA Indicator allows you to display up to five customizable Exponential Moving Averages (EMAs) directly on your chart.
You can individually adjust the period, color, and visibility of each EMA, giving you complete flexibility to match your trading style and strategy.
Multi EMA IndicatorThe Multi EMA Indicator allows you to display up to five customizable Exponential Moving Averages (EMAs) directly on your chart.
You can individually adjust the period, color, and visibility of each EMA, giving you complete flexibility to match your trading style and strategy.
Strategy RSI Concept [SlawaF] + RSI Divergence"Strategy indicator compatible with spot and futures trading. Manual trading is advised as significant drawdowns may occur."
"Индикатор стратегии, совместимый со спотовой и фьючерсной торговлей. Рекомендуется ручной режим торговли, так как возможны существенные просадки."
MA CrossAlert [AlchimistOfCrypto]// 📈 MA Crossover 🚀
// This powerful indicator tracks two customizable moving averages with beautiful gradient fills ✨
// Features:
// ✅ Multiple MA types: SMA, EMA, WMA, VWMA, RMA, HMA, TEMA
// 🌈 8 color themes with adjustable opacity
// 🔄 Real-time crossover signals with alerts
// 📊 Smart gradient fill visualization between MAs
// 🛠️ Fully customizable parameters for professional traders
// 🔔 Built-in alerts for bullish and bearish signals
// Perfect tool for trend identification and trading decisions! 💹
Event-Based Multi MA v1.1📈 Event-Based Multi MA v1.1 — Smart Trading with Dynamic MA Updates
Overview
In a world where most moving averages blindly follow every candle, Event-Based Multi MA v1.1 introduces a smarter logic:
➡️ Update moving averages only when significant price movements occur.
Forget the noise. Focus on what's important.
This indicator recalculates your moving averages only after meaningful price shifts, allowing you to spot true trends and avoid market whipsaws.
Key Features
✅ Event-Driven Logic
Set events based on:
Points: Absolute price change
Percent: Relative price movement
ATR: Volatility-adjusted dynamic movement
✅ Seven Fully Customizable Moving Averages (MA1–MA7)
Each MA offers:
Custom timeframe
Selection of types (EMA, SMA, WMA, VWMA, HMA, LSMA, DEMA, TEMA, ALMA, RMA)
Adjustable lengths and colors
✅ Reduced Market Noise
MAs adjust only after important price actions — cutting down lag and false signals.
✅ Multi-Timeframe Analysis
You can blend moving averages from different timeframes (e.g., 15m, 1H, Daily) into a single chart — perfect for professional multi-frame strategy building.
Settings Explained
Event Trigger Type: Select Points, Percent, or ATR-based movement.
Event Threshold: The amount of price movement needed to trigger a new calculation.
ATR Length: If ATR mode is selected, this controls the sensitivity.
Each Moving Average (MA1 to MA7) has:
MA Type: Choose the smoothing method that suits your trading style.
Length: The number of bars used in the calculation.
Color: Customize visual styling.
Timeframe: Load MAs from different timeframes into your current chart.
How to Use It in Trading
🔹 Trend Confirmation
Wait for event-triggered updates. Fresh MAs after a significant move are much stronger signals than constantly refreshing MAs.
🔹 Momentum Breakouts
Combine short-term (e.g., MA1, MA2) and long-term (e.g., MA5, MA6) MAs. When short-term MAs cross above/below long-term after an event, it's a powerful breakout cue.
🔹 Dynamic Support/Resistance
Use slow-moving MAs like 100-200 length across different timeframes.
The event-based recalculation keeps them relevant to recent major price moves.
🔹 Volatility Filters
Switch to ATR-based events to adapt moving average updates during volatile periods and calm markets.
Why It Beats Traditional Moving Averages
🚀 No More Overfitting to Every Candle
You focus only on impactful price changes.
🚀 Multi-Timeframe Flexibility
Blend micro and macro views seamlessly in one chart.
🚀 Cleaner Signals, Less Noise
Event-triggered recalculations filter out useless minor price wobbles.
🚀 Customization Beyond Standard MAs
TEMA, HMA, ALMA, DEMA, VWMA — all included for ultra-fine-tuned strategies.
✨ Ready to Upgrade Your Trading?
Forget the old, slow MAs.
Use intelligence. Trade events, not noise.
→ Add Event-Based Multi MA v1.1 to your chart and experience true precision!
