Zero Lag Delta System [Hybrid Version] - Inverted🔹 Zero Lag Delta System — Inverted 🔹
The Zero Lag Delta System is a hybrid momentum oscillator designed to capture real-time trend shifts and market strength with maximum responsiveness and minimum lag.
Unlike traditional moving averages or momentum indicators, this tool applies a zero lag smoothing algorithm on price data to reduce delay without sacrificing stability.
It then measures the dynamic delta — the difference between two zero lag averages — to track the push and pull between bullish and bearish pressure in real time.
Key Features:
📈 Bullish momentum appears as green bars rising above the centerline.
📉 Bearish momentum appears as red bars falling below the centerline.
🧠 Zero lag smoothing provides faster and cleaner trend recognition.
🧩 Dynamic bands adapt to volatility, highlighting when moves are statistically significant.
🎯 Auto background coloring shows when momentum is strong, weak, or neutral.
🔔 Built-in alerts for bullish and bearish zero crosses.
🧠 How to Trade with Zero Lag Delta System:
1. Bullish Cross:
Signal: Delta crosses above the zero line.
Possible Action: Look for potential long (buy) opportunities.
2. Bearish Cross:
Signal: Delta crosses below the zero line.
Possible Action: Look for potential short (sell) opportunities.
3. Breakout Above Upper Band:
Signal: Strong bullish momentum confirmed by breakout over the dynamic upper band.
Possible Action: Consider aggressive long entries with trend confirmation.
4. Breakout Below Lower Band:
Signal: Strong bearish momentum confirmed by breakout under the dynamic lower band.
Possible Action: Consider aggressive short entries with trend confirmation.
5. Return to Neutral Zone:
Signal: Delta moves back toward the centerline, indicating weakening momentum.
Possible Action: Be cautious, tighten stops, or stay neutral until a clear signal emerges.
📚 Example Trading Scenarios:
Trend Entry:
When delta crosses above the zero line and stays above, price often enters a healthy uptrend. Look for pullbacks to enter with the trend.
Breakout Confirmation:
If delta moves sharply outside the dynamic bands (especially after consolidation), it often confirms a new momentum breakout.
Divergence Detection:
If price makes new highs but delta fails to do so (or vice versa), it may hint at hidden reversal opportunities.
⚡ Why Use Dynamic Bands Instead of Fixed Levels?
Unlike traditional 20/80 fixed levels that assume static market behavior, dynamic bands adapt automatically to current volatility conditions.
This ensures the indicator remains highly sensitive during calm markets, yet avoids overreacting during high-volatility phases.
Dynamic bands provide:
✅ Better precision in spotting true momentum breakouts.
✅ More accurate filtering of noise during sideways markets.
✅ A more adaptive and universal system across different assets (forex, crypto, stocks).
🔥 Final Thoughts:
The Zero Lag Delta System provides a simple yet powerful visual framework for understanding price momentum at a deeper level.
Use it alongside your existing strategy to refine entries, exits, and overall trend bias.
As always, combine with price action and risk management for best results.
This is an educational idea, and past performance may not replicate itself.
Happy trading! 🚀
Trend Analizi
Uncover Pump and Dump Activities - Abu Ghaid v4Uncover Pump and Dump Activities ! - Abu Ghaid
✅ Enhanced accuracy on the daily timeframe
✅ Darker colors = Unusual activity detected
🌟 If the stock reacts positively to the dark green color, followed by respecting the area and a period of behavioral change and consolidation, or the appearance of red colors in the indicator without reflecting on the stock's price, it often signals an imminent breakout! 🚀💥
Join the big players in the market and be among the first to seize opportunities.
Let the indicator work for you — be the first to spot opportunities before anyone else.
Keep me in your prayers. — Abu Ghaid
Sniper Core XT [Indicator Edition]🔫 SNIPER CORE XT — ZLEMA-Based Trend, Momentum & Volume Confirmation
⚙️ How It Works (What Makes It Unique):
Sniper Core XT is a precision crypto trading tool that visualizes real-time trend, momentum, volume, and volatility confirmation. Built from the ground up using Pine Script v5, it is optimized for semi-manual or alert-driven trading on the 1H timeframe.
Instead of relying on indicator mashups, Sniper Core XT builds its logic around the ZLEMA (Zero Lag Exponential Moving Average) trend engine, refined with strict momentum, volume, and volatility filters to highlight only high-probability trading opportunities.
🧠 Core Logic & Components:
ZLEMA Trend Engine:
Plots fast, slow, and signal ZLEMA lines to detect clean trend transitions with minimal lag, enabling early, reliable trend identification.
Vortex Direction & Strength Filter:
Confirms directional bias based on Vortex Indicator internals. Signals only activate when vortex strength exceeds a customizable threshold and aligns with ZLEMA trend.
Volume Confirmation via ZLEMA of Volume:
Uses adaptive volume confirmation, requiring current volume to exceed a ZLEMA-smoothed threshold to validate breakout moves.
Normalized Volatility-Adjusted Momentum Filter:
Measures momentum via a normalized, ATR-adjusted rate of change. Filters out low-momentum or exhausted moves before they trigger false signals.
Real-Time Take Profit Tracking:
Plots real-time TP1 and TP2 targets after entry. Visual labels confirm when TP1 or TP2 are hit, without relying on broker execution.
Non-Canvas Dashboard:
Includes a fully integrated live table showing:
Current Signal (Long, Short, None)
Entry Price
TP1/TP2 Status
Trend Direction
Bars Since Entry
Exit Signals for Trend Weakness:
Plots exit labels when trend strength fades or reverses, allowing traders to manually close positions with precision.
🧪 Indicator Use & Applications:
Designed for manual or semi-automated crypto trading
Ideal for trending pairs and medium-high volatility environments
Compatible with external bots through alerts (WunderTrading, PineConnector, 3Commas, etc.)
Suited for 1H timeframe, but adjustable
🛡️ Indicator Style:
Feature Value
Repainting ❌ Never
Cooldown Mechanism ✅ 1-Bar
TP1/TP2 Tracking ✅ Built-in
Alert Compatibility ✅ Full support
Recommended Timeframe 🕒 1H
Entry & Exit Labels ✅
⚠️ Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always practice proper risk management and confirm entries with your own analysis before executing trades.
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.
HTF Candle + OHLC Line Extensions📈 Script Title:
HTF Candle + OHLC Line Extensions
✨ Capabilities Overview:
This Pine Script plots a dynamic Higher Timeframe (HTF) candle on your current (lower) chart.
It visually highlights:
• A solid "candle body" based on the highest close and lowest close within the selected HTF range.
• An optional wick representing the absolute high and low of that HTF period.
• Extended lines projecting the HTF Open, High, Low, and Close levels onto the current chart.
• Labels displaying the exact OHLC prices next to their respective lines.
• A central label naming the selected HTF.
This makes it easy to track HTF structure, key levels, and trends without switching chart timeframes.
________________________________________
⚙️ Inputs Explained and How to Set Them:
Input Name Description Recommended Settings
Higher Timeframe (htf_label) The timeframe to build the candle from (e.g., 4H, 1D, etc.). Choose a timeframe higher than your chart's timeframe (e.g., use 4H if on a 30min chart).
Offset to Right (bars) (offset_bars) Number of bars to shift the HTF candle to the right of current price action. Default 2 is good; increase if you want more spacing.
Show Wicks? (show_wicks) Toggles drawing of the wick (high-low range). Leave on for a more complete candle look. Turn off for cleaner appearance.
OHLC Line Color (line_color) Color of the Open, High, Low, Close extension lines. Pick a color that stands out on your chart (e.g., yellow).
OHLC Line Thickness (line_thickness) Thickness of the OHLC lines. Default 2 is visible but subtle. Increase for stronger emphasis.
OHLC Line Style (line_style) Solid, dotted, or dashed style for the OHLC lines. - Solid for strong levels
- Dotted for secondary importance
Candle Bullish Color (candle_up_color) Fill color for bullish HTF candles. Use a green shade.
Candle Bearish Color (candle_down_color) Fill color for bearish HTF candles. Use a red shade.
Bullish Wick Color (bullish_wick_color) Color of the wick for bullish candles. Match or slightly lighten the bullish candle color.
Bearish Wick Color (bearish_wick_color) Color of the wick for bearish candles. Match or slightly lighten the bearish candle color.
Bullish Border (bullish_candle_border) Color for the border of bullish candles. Usually match the candle body or make slightly darker.
Bearish Border (bearish_candle_border) Color for the border of bearish candles. Same principle as bullish borders.
Label Text Color (label_text_color) Text color for OHLC labels. White for dark charts; Black for light charts.
Label Background Color (label_bg_color) Background color for labels (for readability). Usually opposite of your chart background (e.g., black background on light charts).
________________________________________
📋 Detailed Script Behavior:
1. Timeframe Handling:
• Converts the user’s selection (htf_label) into minutes.
• Calculates how many chart bars make up the selected HTF period.
• Dynamically adapts even if the market is closed (no reliance on session endings).
2. HTF OHLC Calculation:
• Open: First bar’s open within HTF window.
• High/Low: Highest high and lowest low within HTF window.
• Close: Most recent bar’s close.
• High Close / Low Close: Highest and lowest closes for the candle body.
3. Plotting:
• Candle Body: Draws a box between highest close and lowest close.
• Wick: (Optional) Line connecting absolute High and Low.
• OHLC Lines: Drawn from where the price was observed to the HTF candle.
• Labels: Show precise O/H/L/C prices and the timeframe name.
________________________________________
📢 Important Usage Tips:
• Best Practice: Always select an HTF that’s higher than your current chart (for clarity).
For example:
o Chart: 15 min → HTF: 1H, 4H
o Chart: 1H → HTF: 4H, 1D
• Offset: If your chart is crowded, increase "Offset to Right" to move the candle visualization farther out.
• Customization: Adjust colors and line styles to match your chart theme for better visibility.
• Performance: Drawing many elements every bar is lightweight here, but on very high-frequency charts (like 1-min), it can cause slight lag.
________________________________________
🧠 Summary
This script is a powerful visual aid for traders who:
• Want to see HTF structure without changing charts.
• Like to track key HTF levels (especially Open, High, Low, Close).
• Prefer a minimal, customizable display that's easy to align with their chart styles.
Market Volatility KeyMarket Volatility Key is a compact dashboard tool designed to help traders quickly assess market conditions related to volatility, trend strength, and asset movement.
This indicator consolidates several key metrics into a color-coded table, providing traders with a real-time overview of the market’s volatility landscape. It is intended to complement existing trading strategies, particularly for trend-following and scalping approaches.
Key Features:
Choppiness Index (CHOP): Measures whether the market is trending or consolidating.
Average True Range (ATR): Customizable by timeframe, helping gauge volatility across different periods.
Volatility Index (VIX): Displays real-time VIX readings, often used as a "fear gauge" for market sentiment.
10-Year US Treasury Bond Yield (10Y): Shows current bond yield to monitor macroeconomic conditions.
Bitcoin (BTC/USD): Tracks price along with directional movement.
Dollar Index (DXY): Displays the strength of the US dollar.
MAG 7 Index: A custom average of Microsoft, Apple, Alphabet, Amazon, Tesla, Meta, and NVIDIA prices.
Visual Enhancements (April 2025 Update):
Directional Arrows: BTC, DXY, MAG7, VIX, and 10Y Bond rows now show ▲ (up), ▼ (down), or → (sideways) based on price movement.
Dynamic Value Colors:
Green for rising prices (BTC, DXY, MAG7, 10Y Bond)
Red for falling prices
For VIX, rising volatility is shown in red and falling volatility in green to better reflect market sentiment.
Customization Options:
Adjustable ATR timeframe
Adjustable table position (top, middle, or bottom right)
Selectable font size (small, medium, large)
Intended Use: This script provides a high-level visual summary of multiple market indicators in one place. It is designed to assist traders in recognizing potential changes in volatility and market sentiment without replacing other forms of technical or fundamental analysis.
Market Breadth Peaks & Troughs IndicatorIndicator Overview
Market Breadth (S5TH) visualizes extremes of market strength and weakness by overlaying -
a 200-period EMA (long-term trend)
a 5-period EMA (short-term trend, user-adjustable)
on the percentage of S&P 500 constituents trading above their 200-day SMA (INDEX:S5TH).
Peaks (▼) and troughs (▲) are detected with prominence filters so you can quickly spot overbought and oversold conditions.
⸻
1. Core Logic
Component Description
Breadth series INDEX:S5TH — % of S&P 500 stocks above their 200-SMA
Long EMA 200-EMA to capture the primary trend
Short EMA 5-EMA (default, editable) for short-term swings
Peak detection ta.pivothigh + prominence ⇒ major peaks marked with red ▼
Trough detection (200 EMA) ta.pivotlow + prominence + value < longTroughLvl ⇒ blue ▲
Trough detection (5 EMA) ta.pivotlow + prominence + value < shortTroughLvl ⇒ green ▲
Background shading Pink when 200 EMA slope is down and 5 EMA sits below 200 EMA
⸻
2. Adjustable Parameters (input())
Group Variable Default Purpose
Symbol breadthSym INDEX:S5TH Breadth index
Long EMA longLen 200 Period of long EMA
Short EMA shortLen 5 Period of short EMA
Pivot width (long) pivotLen 20 Bars left/right for 200-EMA peaks/troughs
Pivot width (short) pivotLenS 10 Bars for 5-EMA troughs
Prominence (long) promThresh 0.5 %-pt Depth filter for 200-EMA pivots
Prominence (short) promThreshS 3.0 %-pt Depth filter for 5-EMA pivots
Trough level (long) longTroughLvl 50 % Max value to accept a 200-EMA trough
Trough level (short) shortTroughLvl 30 % Max value to accept a 5-EMA trough
⸻
3. Signal Guide
Marker / Color Meaning Typical reading
Red ▼ Major breadth peak Overbought / possible top
Blue ▲ Deep 200-EMA trough End of mid-term correction
Green ▲ Shallow 5-EMA trough (early) Short-term rebound setup
Pink background Long-term down-trend and short-term weak Risk-off phase
⸻
4. Typical Use Cases
1. Counter-trend timing
• Fade greed: trim longs on red ▼
• Buy fear: scale in on green ▲; add on blue ▲
2. Trend filter
• Avoid new longs while the background is pink; wait for a trough & recovery.
3. Risk management
• Reduce exposure when peaks appear, reload partial size on confirmed troughs.
⸻
5. Notes & Tips
• INDEX:S5TH is sourced from TradingView and may be back-adjusted when index membership changes.
• Fine-tune pivotLen, promThresh, and level thresholds to match current volatility before relying on alerts or automated rules.
• Slope thresholds (±0.10 %-pt) that trigger background shading can also be customized for different market regimes.
Relative StrengthRelative-Strength with custom parameters.
Relative-Strength with custom parameters.
Relative-Strength with custom parameters.
Relative-Strength with custom parameters.
Relative-Strength with custom parameters.
Relative-Strength with custom parameters.
Relative-Strength with custom parameters.
Relative-Strength with custom parameters.
Relative-Strength with custom parameters.
Relative-Strength with custom parameters.
Accurate Global M2 (Top10 GDP, FX-Stabilized)This script was created to solve the serious distortions found in other circulating "Global M2" indicators.
Many previous versions used noisy daily FX rates, unweighted country data, mixed liquidity categories (e.g., RRP, TGA), or aggregated low-quality sources, causing exaggerated or misleading charts.
This version fixes those problems by:
Using Top 10 global economies only (based on GDP).
GDP-weighting each country's M2 contribution.
Fetching monthly-averaged M2 data.
Applying monthly FX conversions to eliminate daily volatility noise.
Forward-shifting the M2 line (default 90 days) to study potential Bitcoin correlations.
Keeping the math clean, without mixing central bank liquidity tools with broad M2 aggregates.
As a result, this script provides a more realistic and stable representation of global M2 expansion in USD terms, more suitable for serious macroeconomic analysis and Bitcoin market correlation studies.
GZ Indicator✍️ Description:
GZ Indicator is an advanced indicator that automatically detects Golden Zones, optimal market entry zones based on the latest significant pivots. The system uses Fibonacci extensions to project precise price targets, while providing a dynamic, visual stop-loss.
Main features:
- Pivot Detection: Automatic identification of significant pivots (high/low).
- Optimal Entry Zones (OTE): Automatically calculates ideal entry zones based on Fibonacci retracements.
- Precise Targets: Displays price targets with Fibonacci extensions.
- Dynamic Stop-Loss: Visual stop-loss zone adjusted to market conditions.
- RSI and MACD display: Add an RSI and MACD chart to facilitate trend analysis and confirm your entries.
- Intelligent refresh: Automatic deletion of the active zone as soon as the stop-loss is reached.
🔥 Key features:
Automatic detection of significant pivots (highs and lows)
Dynamic calculation of the OTE (Optimal Trade Entry) zone on retracements 0.618 - 0. 705
Clear display of price targets based on extensions
Intelligent updating: old zones are retained for historical analysis
Automatic deletion of current zone if Stop-Loss is reached
Contextual RSI and MACD chart for improved trend analysis
Code optimized for minimum recalculations, fluid even on fast time units.
⚡ How to use it:
Spot the appearance of a Golden Zone.
Enter a position in the zone with RSI/MACD or price action confirmation.
Use the targets displayed to set your progressive Take-Profits.
Respect the Stop-Loss zone automatically drawn.
🛠️ Available parameters:
Activate/deactivate RSI/MACD chart
Choose number of pivots for detection
Display old targets
[⚠️ Disclaimer:
This indicator is a decision-making tool. It is not intended to be used as financial advice. Please always perform your own analysis and manage your risks properly.
🔥 Bon trading ! 🚀
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.
Trendinator## How to Use Trendy: A Trader's Guide
Hey there, fellow trader! Let's talk about how to actually use this Trendy indicator in your day-to-day trading. I've been working with this tool, and I want to share some practical insights that you won't find in the technical documentation.
### Getting Started
First things first, don't get overwhelmed by all the settings. Start simple:
1. **Add it to your chart** - Load up the indicator and just observe how the baseline moves with price for a few days before making any trading decisions.
2. **Watch the color changes** - Green/lime (or whatever you choose) means uptrend, red means downtrend. Simple as that!
3. **Look for crossovers** - When price crosses above the line, it's often a buy signal. When it crosses below, consider it a potential sell.
### Fixed vs. Adaptive Mode: Which One's Better?
Here's the thing about these two modes - they're both useful in different situations.
**Fixed Mode** is straightforward and reliable. It uses the length you specify, and that's it. I like to use Fixed Mode when:
- The market is clearly trending
- I want consistent signals without surprises
- I'm doing comparisons across multiple charts or timeframes
**Adaptive Mode** It automatically adjusts the length based on what the market is actually doing right now. This mode shines when:
- Markets are changing their behavior
- You're trading assets with variable volatility
- You want the indicator to "learn" the current market rhythm
### The Dual Approach (My Secret Suggestion)
Want to know what really works for me? I put BOTH on my chart. Seriously, try this:
1. Add Trendy in Fixed Mode (I usually use the "Medium" settings from the table)
2. Add a second Trendy in Adaptive Mode
3. When both lines agree on direction - that's a strong signal!
4. When they diverge - be cautious, the market might be changing character
When both lines cross price at the same time, that's often where the magic happens. Those are the high-probability entries you're looking for.
### Real Talk About Timeframes
Let me break down how this indicator feels on different timeframes:
**5-Minute Charts** - It's twitchy! Use "Slow" settings unless you're scalping. The Fixed mode actually works better here because the adaptive can get confused by noise.
**15-Minute Charts** - My personal favorite for day trading. The "Medium" settings strike a nice balance. The Adaptive mode starts becoming really valuable here.
**Hourly Charts** - This is where Trendy really shines. The indicator has enough data to work with but still responds quickly to changes. I lean more toward the "Fast" or "Medium" settings here.
**4-Hour & Daily** - Perfect for swing trading. Use "Medium" or "Slow" settings, and definitely take advantage of the Adaptive mode - it picks up those larger market cycles beautifully.
### Comparing Fixed vs. Adaptive Performance
Here's a comparison I've put together based on my own trading experience:
| Market Condition | Fixed Mode Performance | Adaptive Mode Performance | Best Choice |
|------------------|------------------------|---------------------------|-------------|
| Strong Trend | Excellent ⭐⭐⭐⭐⭐ | Very Good ⭐⭐⭐⭐ | Fixed |
| Choppy Market | Poor ⭐⭐ | Good ⭐⭐⭐⭐ | Adaptive |
| Breakouts | Good ⭐⭐⭐⭐ | Excellent ⭐⭐⭐⭐⭐ | Adaptive |
| Range-Bound | Poor ⭐⭐ | Good ⭐⭐⭐ | Adaptive |
| High Volatility | Very Good ⭐⭐⭐⭐ | Excellent ⭐⭐⭐⭐⭐ | Adaptive |
| Low Volatility | Good ⭐⭐⭐ | Good ⭐⭐⭐ | Either |
| Trend Reversals | Poor ⭐⭐ | Very Good ⭐⭐⭐⭐ | Adaptive |
### Pro Tips From the Trenches
1. **Start with the 1-Hour chart** - If you're new to Trendy, the hourly timeframe gives you the best balance between signal quality and trading frequency.
2. **Color-code your indicators** - If you're using both Fixed and Adaptive, give them different colors so you can tell them apart at a glance. I use lime/red for Fixed and blue/orange for Adaptive.
3. **Don't fight the line** - If price is below the line, think twice about going long, even if other indicators say otherwise. This baseline is surprisingly powerful as a dynamic support/resistance level.
4. **Watch for flattening** - When the line starts to flatten after a strong trend, that's often a sign that momentum is waning. Consider taking profits.
5. **Use the crossover, confirm with a retest** - The most reliable setup is when price crosses the line, pulls back to "test" it, and then continues in the new direction.
6. **Adjust for different assets** - Cryptocurrencies and tech stocks often need "Faster" settings, while forex and blue chips do better with "Medium" or "Slow" settings.
7. **Combine with volume** - Trendy doesn't look at volume, so adding a volume indicator can really complete the picture. Strong moves with high volume that push through the baseline are often the most reliable.
Remember, no indicator is perfect - but Trendy is one of the most versatile tools I've used. Give yourself some time to get familiar with how it behaves on your favorite trading instruments, and you'll develop an almost intuitive feel for it.
Happy trading!# Trendy - Technical Documentation
__________________________________________________________________________
## Overview
The Trendy indicator represents a significant advancement in technical analysis, combining Mark Jurik's proprietary JMA (Jurik Moving Average) algorithm with adaptive volatility measurement and autocorrelation-based cycle detection. This sophisticated indicator provides traders with a responsive, low-lag baseline that adapts to changing market conditions in real-time.
Unlike traditional moving averages that suffer from lag and noise issues, Trendy dynamically adjusts its parameters to optimize smoothness and responsiveness based on the current market environment. The baseline serves as a clear reference point for trend direction, potential support/resistance levels, and market regime identification.
## Technical Foundation
### Jurik Moving Average (JMA)
The core of this indicator is the JMA algorithm, developed by Mark Jurik as a superior alternative to traditional moving averages. The JMA reduces lag while minimizing noise, making it a valuable asset for traders. It employs:
- **Advanced smoothing algorithms**: Eliminates market noise without introducing significant lag
- **Phase correction**: Adjusts the leading/lagging behavior of the moving average
- **Adaptive parameters**: Automatically tunes to current market conditions
The JMA delivers a smooth line with very little delay compared to traditional moving averages like SMA or EMA, providing clearer signals for effective market analysis.
### Volatility-Adaptive Power
What makes this implementation unique is the integration of volatility measurements to dynamically adjust the JMA's behavior:
- **ATR-Normalized Volatility**: Uses Average True Range measurements that are normalized to provide a reliable volatility metric
- **Dynamic Power Factor**: Adjusts the JMA's power parameter based on current volatility
- **Adaptive Smoothing**: Increases smoothing during noisy, ranging markets and increases responsiveness during trending conditions
This volatility adaptation enables the indicator to adapt to market conditions in real-time, providing traders with a more accurate and timely tool for assessing trends.
### Autocorrelation Periodogram Algorithm (APA)
In "Autocorrelation Adaptive" mode, the indicator employs John Ehlers' Autocorrelation Periodogram Algorithm to detect the dominant market cycle:
- Uses digital signal processing techniques to determine the length of market cycles
- Calculates correlation coefficients between the current price and lagged versions of itself
- Identifies the dominant cycle period in the current market conditions
- Dynamically adjusts the indicator's length parameter based on detected cycles
This adaptive approach attempts to reveal dominant cycles in market data and measure their amplitude, allowing the indicator to automatically tune itself to the current market rhythm.
## Practical Applications
### 1. Trend Identification
The baseline provides clear trend signals through its color and direction:
- **Green/Lime Baseline**: Indicates uptrend with bullish momentum
- **Red Baseline**: Indicates downtrend with bearish momentum
### 2. Dynamic Support and Resistance
The baseline often serves as a dynamic support/resistance level:
- During uptrends, price tends to find support at the baseline
- During downtrends, the baseline frequently acts as resistance
- Stronger reactions often occur when price approaches the baseline in the direction of the larger trend
### 3. Market Regime Detection
The slope and characteristics of the baseline help identify market conditions:
- **Steep slope**: Strong trending market
- **Moderate slope**: Normal trending conditions
- **Flat baseline**: Consolidation or range-bound market
- **Oscillating baseline**: Choppy, indecisive market
### 4. Entry and Exit Points
Price interactions with the baseline can provide potential trading signals:
- **Price crossing above baseline**: Potential buy signal
- **Price crossing below baseline**: Potential sell signal
- **Failed tests of the baseline**: Potential continuation signals
- **Multiple crosses in short period**: Warning of choppy conditions
### 5. Volatility Assessment
The behavior of the baseline relative to price action provides insights about volatility:
- **Price hugging the baseline**: Low volatility, strong trend
- **Price making wide swings around baseline**: Higher volatility
- **Price making higher highs while baseline flattens**: Possible trend exhaustion
## Recommended Settings by Timeframe
The table below provides optimized settings for different timeframes and trading styles:
| Timeframe | Trading Style | Length | Phase | Min Length | Max Length | Avg Length |
|-----------|--------------|--------|-------|------------|------------|------------|
| 5 Minute | Fast | 14 | 0 | 6 | 24 | 2 |
| 5 Minute | Medium | 21 | 0 | 8 | 32 | 3 |
| 5 Minute | Slow | 30 | 0 | 12 | 48 | 3 |
| 15 Minute | Fast | 10 | 0 | 5 | 20 | 2 |
| 15 Minute | Medium | 18 | 0 | 7 | 28 | 3 |
| 15 Minute | Slow | 27 | 0 | 10 | 40 | 3 |
| 30 Minute | Fast | 8 | 0 | 4 | 16 | 2 |
| 30 Minute | Medium | 14 | 0 | 6 | 24 | 3 |
| 30 Minute | Slow | 21 | 0 | 8 | 32 | 3 |
| 1 Hour | Fast | 7 | 0 | 3 | 14 | 2 |
| 1 Hour | Medium | 12 | 0 | 5 | 20 | 2 |
| 1 Hour | Slow | 18 | 0 | 7 | 28 | 3 |
| 4 Hour | Fast | 5 | 0 | 3 | 10 | 1 |
| 4 Hour | Medium | 8 | 0 | 4 | 16 | 2 |
| 4 Hour | Slow | 14 | 0 | 6 | 24 | 2 |
*Notes:*
- **Fast**: More responsive to price changes, better for scalping and short-term trading
- **Medium**: Balanced approach suitable for swing trading
- **Slow**: More smoothed, better for position trading and longer-term trend following
- When using "Autocorrelation Adaptive" mode, the Min/Max/Avg Length parameters control the adaptive algorithm's behavior
## Advanced Trading Strategies
### 1. Multi-Timeframe Confirmation
For stronger signals, compare the Trendy baseline across multiple timeframes:
- Align trades with the direction of higher timeframe baselines
- Look for confluences where multiple timeframes show the same signal
- Use lower timeframes for precise entry while following higher timeframe trends
### 2. Volatility-Based Position Sizing
Adjust position sizes based on the relationship between price and the baseline:
- Larger positions when price is moving strongly in the direction of the baseline
- Smaller positions during consolidation periods or when the baseline is flat
- Consider reducing exposure when price makes multiple crosses of the baseline in a short period
### 3. Trend Strength Assessment
The baseline's behavior provides insights about trend strength:
- Strong trends show a consistent baseline direction with minimal flattening
- Weakening trends often show a flattening baseline before price reversal
- Baseline slope changes can provide early warning of potential trend shifts
### 4. Combining with Other Indicators
The Trendy works well when combined with complementary indicators:
- Momentum oscillators to confirm overbought/oversold conditions
- Volume indicators to validate price movements
- Volatility indicators to adjust strategy parameters dynamically
## Technical Implementation
The Trendy is built on several sophisticated algorithms:
1. **JMA Algorithm**: Provides the core smoothing functionality with adaptive parameters
2. **Volatility Measurement**: Uses ATR-based calculations normalized to current price levels
3. **Autocorrelation Periodogram**: Implements spectral analysis techniques to identify dominant market cycles
4. **Dynamic Parameter Adjustment**: Automatically tunes the indicator based on current market conditions
The implementation uses optimized calculations to ensure accuracy while maintaining computational efficiency, making it suitable for real-time trading environments.
## Conclusion
The Trendy represents a significant advancement in technical analysis tools, providing traders with a sophisticated yet practical indicator for market analysis. By combining the low-lag properties of the Jurik Moving Average with adaptive volatility measurement and cycle detection, it offers a responsive and reliable baseline for identifying trends, market regimes, and potential trading opportunities.
The indicator's ability to automatically adapt to changing market conditions makes it valuable across different timeframes and market environments, providing consistent performance where traditional moving averages often fail. Whether used as a standalone tool or as part of a comprehensive trading system, the Trendy delivers professional-grade technical analysis capabilities for modern traders.
# Adaptive Jurik Baseline (AJB) - Technical Documentation
## Overview
The Adaptive Jurik Baseline (AJB) indicator represents a significant advancement in technical analysis, combining Mark Jurik's proprietary JMA (Jurik Moving Average) algorithm with adaptive volatility measurement and autocorrelation-based cycle detection. This sophisticated indicator provides traders with a responsive, low-lag baseline that adapts to changing market conditions in real-time.
Unlike traditional moving averages that suffer from lag and noise issues, AJB dynamically adjusts its parameters to optimize smoothness and responsiveness based on the current market environment. The baseline serves as a clear reference point for trend direction, potential support/resistance levels, and market regime identification.
## Technical Foundation
### Jurik Moving Average (JMA)
The core of this indicator is the JMA algorithm, developed by Mark Jurik as a superior alternative to traditional moving averages. The JMA reduces lag while minimizing noise, making it a valuable asset for traders. It employs:
- **Advanced smoothing algorithms**: Eliminates market noise without introducing significant lag
- **Phase correction**: Adjusts the leading/lagging behavior of the moving average
- **Adaptive parameters**: Automatically tunes to current market conditions
The JMA delivers a smooth line with very little delay compared to traditional moving averages like SMA or EMA, providing clearer signals for effective market analysis.
### Volatility-Adaptive Power
What makes this implementation unique is the integration of volatility measurements to dynamically adjust the JMA's behavior:
- **ATR-Normalized Volatility**: Uses Average True Range measurements that are normalized to provide a reliable volatility metric
- **Dynamic Power Factor**: Adjusts the JMA's power parameter based on current volatility
- **Adaptive Smoothing**: Increases smoothing during noisy, ranging markets and increases responsiveness during trending conditions
This volatility adaptation enables the indicator to adapt to market conditions in real-time, providing traders with a more accurate and timely tool for assessing trends.
### Autocorrelation Periodogram Algorithm (APA)
In "Autocorrelation Adaptive" mode, the indicator employs John Ehlers' Autocorrelation Periodogram Algorithm to detect the dominant market cycle:
- Uses digital signal processing techniques to determine the length of market cycles
- Calculates correlation coefficients between the current price and lagged versions of itself
- Identifies the dominant cycle period in the current market conditions
- Dynamically adjusts the indicator's length parameter based on detected cycles
This adaptive approach attempts to reveal dominant cycles in market data and measure their amplitude, allowing the indicator to automatically tune itself to the current market rhythm.
## Practical Applications
### 1. Trend Identification
The baseline provides clear trend signals through its color and direction:
- **Green/Lime Baseline**: Indicates uptrend with bullish momentum
- **Red Baseline**: Indicates downtrend with bearish momentum
### 2. Dynamic Support and Resistance
The baseline often serves as a dynamic support/resistance level:
- During uptrends, price tends to find support at the baseline
- During downtrends, the baseline frequently acts as resistance
- Stronger reactions often occur when price approaches the baseline in the direction of the larger trend
### 3. Market Regime Detection
The slope and characteristics of the baseline help identify market conditions:
- **Steep slope**: Strong trending market
- **Moderate slope**: Normal trending conditions
- **Flat baseline**: Consolidation or range-bound market
- **Oscillating baseline**: Choppy, indecisive market
### 4. Entry and Exit Points
Price interactions with the baseline can provide potential trading signals:
- **Price crossing above baseline**: Potential buy signal
- **Price crossing below baseline**: Potential sell signal
- **Failed tests of the baseline**: Potential continuation signals
- **Multiple crosses in short period**: Warning of choppy conditions
### 5. Volatility Assessment
The behavior of the baseline relative to price action provides insights about volatility:
- **Price hugging the baseline**: Low volatility, strong trend
- **Price making wide swings around baseline**: Higher volatility
- **Price making higher highs while baseline flattens**: Possible trend exhaustion
## Recommended Settings by Timeframe
The table below provides optimized settings for different timeframes and trading styles:
| Timeframe | Trading Style | Length | Phase | Min Length | Max Length | Avg Length |
|-----------|--------------|--------|-------|------------|------------|------------|
| 5 Minute | Fast | 14 | 0 | 6 | 24 | 2 |
| 5 Minute | Medium | 21 | 0 | 8 | 32 | 3 |
| 5 Minute | Slow | 30 | 0 | 12 | 48 | 3 |
| 15 Minute | Fast | 10 | 0 | 5 | 20 | 2 |
| 15 Minute | Medium | 18 | 0 | 7 | 28 | 3 |
| 15 Minute | Slow | 27 | 0 | 10 | 40 | 3 |
| 30 Minute | Fast | 8 | 0 | 4 | 16 | 2 |
| 30 Minute | Medium | 14 | 0 | 6 | 24 | 3 |
| 30 Minute | Slow | 21 | 0 | 8 | 32 | 3 |
| 1 Hour | Fast | 7 | 0 | 3 | 14 | 2 |
| 1 Hour | Medium | 12 | 0 | 5 | 20 | 2 |
| 1 Hour | Slow | 18 | 0 | 7 | 28 | 3 |
| 4 Hour | Fast | 5 | 0 | 3 | 10 | 1 |
| 4 Hour | Medium | 8 | 0 | 4 | 16 | 2 |
| 4 Hour | Slow | 14 | 0 | 6 | 24 | 2 |
*Notes:*
- **Fast**: More responsive to price changes, better for scalping and short-term trading
- **Medium**: Balanced approach suitable for swing trading
- **Slow**: More smoothed, better for position trading and longer-term trend following
- When using "Autocorrelation Adaptive" mode, the Min/Max/Avg Length parameters control the adaptive algorithm's behavior
## Advanced Trading Strategies
### 1. Multi-Timeframe Confirmation
For stronger signals, compare the AJB baseline across multiple timeframes:
- Align trades with the direction of higher timeframe baselines
- Look for confluences where multiple timeframes show the same signal
- Use lower timeframes for precise entry while following higher timeframe trends
### 2. Volatility-Based Position Sizing
Adjust position sizes based on the relationship between price and the baseline:
- Larger positions when price is moving strongly in the direction of the baseline
- Smaller positions during consolidation periods or when the baseline is flat
- Consider reducing exposure when price makes multiple crosses of the baseline in a short period
### 3. Trend Strength Assessment
The baseline's behavior provides insights about trend strength:
- Strong trends show a consistent baseline direction with minimal flattening
- Weakening trends often show a flattening baseline before price reversal
- Baseline slope changes can provide early warning of potential trend shifts
### 4. Combining with Other Indicators
The AJB works well when combined with complementary indicators:
- Momentum oscillators to confirm overbought/oversold conditions
- Volume indicators to validate price movements
- Volatility indicators to adjust strategy parameters dynamically
## Technical Implementation
The Adaptive Jurik Baseline is built on several sophisticated algorithms:
1. **JMA Algorithm**: Provides the core smoothing functionality with adaptive parameters
2. **Volatility Measurement**: Uses ATR-based calculations normalized to current price levels
3. **Autocorrelation Periodogram**: Implements spectral analysis techniques to identify dominant market cycles
4. **Dynamic Parameter Adjustment**: Automatically tunes the indicator based on current market conditions
The implementation uses optimized calculations to ensure accuracy while maintaining computational efficiency, making it suitable for real-time trading environments.
## Conclusion
The Adaptive Jurik Baseline represents a significant advancement in technical analysis tools, providing traders with a sophisticated yet practical indicator for market analysis. By combining the low-lag properties of the Jurik Moving Average with adaptive volatility measurement and cycle detection, it offers a responsive and reliable baseline for identifying trends, market regimes, and potential trading opportunities.
The indicator's ability to automatically adapt to changing market conditions makes it valuable across different timeframes and market environments, providing consistent performance where traditional moving averages often fail. Whether used as a standalone tool or as part of a comprehensive trading system, the Adaptive Jurik Baseline delivers professional-grade technical analysis capabilities for modern traders.
CM RSI-Stoch Hybrid D&K%CM RSI-Stoch Hybrid D&K% Indicator
Elevate your trading strategy with the CM RSI-Stoch Hybrid D&K% Indicator, a powerful and versatile tool designed for Trading View. This innovative indicator seamlessly blends the strengths of the Relative Strength Index (RSI) and Stochastic oscillator to deliver a unique composite signal that captures market momentum and trend dynamics with precision. Ideal for traders of all levels, it offers customizable settings and visually intuitive outputs to enhance decision-making across various markets and timeframes.
Key Features:
Hybrid Composite Signal: Combines RSI and Stochastic (%K and %D) into a single, smoothed indicator for a balanced view of market conditions, reducing noise and highlighting key trends.
Dynamic Volume Integration: Adjusts the composite signal’s appearance based on volume surges, helping traders identify high-conviction moves.
Customizable Moving Average: Choose from SMA, EMA, or WMA to overlay on the composite signal, providing additional trend confirmation tailored to your trading style.
Overbought/Oversold Zones: Clearly defined, user-adjustable levels with visual background cues to spot potential reversals or continuation patterns.
Multi-Indicator Visualization: Displays RSI, Stochastic %K, %D, and the composite signal in a single, easy-to-read panel, keeping your charts uncluttered.
Flexible Parameters: Fine-tune RSI length, Stochastic smoothing, volume MA, and overbought/oversold thresholds to suit your preferred trading approach.
Why Choose CM RSI-Stoch Hybrid D&K%?
This indicator is perfect for traders seeking a reliable, all-in-one momentum and trend tool. Whether you're scalping, swing trading, or analysing long-term trends, the CM RSI-Stoch Hybrid D&K% provides actionable insights without overwhelming complexity. Its dynamic volume-based colouring and customizable moving average make it adaptable to volatile or trending markets, while the clear overbought/oversold signals help you time entries and exits with confidence.
Unlock the power of precision trading with the CM RSI-Stoch Hybrid D&K% Indicator—your edge in navigating the markets effectively.
Trend Degree Dashboard (Table)📈 Trend Degree Dashboard (Table) — v1.0
This indicator calculates and displays the trend angle (in degrees) based on the linear regression of the selected source (default: close) over a user-defined lookback period (default: 21 bars).
The trend angle gives a quick visual reference of the current market slope — positive (uptrend) or negative (downtrend).
A dashboard table shows the trend angle directly on the chart, with a background color:
🟩 Green background for positive angles (uptrend)
🟥 Red background for negative angles (downtrend)
🔧 Features:
Customizable Lookback Period: Set the number of candles to consider for trend calculation.
Source Selection: Apply the analysis to close, open, high, low, or any other price series.
Dashboard Positioning: Choose where the dashboard appears (Top Left, Top Right, Bottom Left, Bottom Right).
Clean Table Design: Minimalistic and easy-to-read dashboard with automatic background color highlighting based on trend direction.
⚙️ How It Works:
It uses Linear Regression to measure the slope between two consecutive points.
Converts the slope into degrees using the arctangent function (atan) for a geometric interpretation of trend strength and direction.
Updates the dashboard table live with the latest angle value.
✅ Script Highlights:
Non-repainting: Once a bar closes, its value is fixed.
Efficient performance: Lightweight table visualization with no heavy calculations.
Clear trading signals: Positive angles suggest bullish momentum, negative angles suggest bearish momentum.
⚠️ Disclaimer:
This script is a technical analysis tool designed to assist in decision-making but does not guarantee results.
Please use it alongside other tools and practice proper risk management. Always test any indicator on demo accounts before applying it to live trading.
Trading All-in-One 2Overview
Trading All-in-One 2 provides traders with multi-timeframe market bias, institutional order-block levels, supply & demand zones, and resistance-becomes-support (and vice-versa) detection—all fully customizable via a tabbed settings panel.
Key Features
1. Multi-Timeframe Table
Flexible Layout: Switch between horizontal (8×2) or vertical (2×8) table orientation.
Timeframes Covered: 1 m, 5 m, 15 m, 30 m, 1 h, 4 h, Daily.
Signal Display: “Bull” vs. “Bear” bias per timeframe, colored green/red.
Customization:
Text size (tiny/small/normal)
Table position (top_left/top_right/bottom_left/bottom_right)
Transparency level and compact mode for minimal footprint
2. Order Block Detection
Bullish & Bearish Order Blocks: Identifies reversal candles after liquidity sweeps and price gaps.
Historical Context: Plots past order-block occurrences up to a user-definable lookback (default 10 bars).
Labels: “OB BULL” and “OB BEAR” with customizable color, size, and style.
3. Supply & Demand Zones
High-Volume Rejection Zones: Detects clusters where aggressive institutional activity occurred.
Configurable Lookback: Scan the last N bars (default 30) for new zones.
Zone Visualization: Semi-transparent boxes extended forward; adjustable bar extension and opacity.
On-Chart Labels: “Supply”/“Demand” tags for each zone entry.
4. Resistance → Support (and Support → Resistance)
Swing-Level Flip Detection:
Resistance-turns-support after breakout & retest
Support-turns-resistance after breakdown & retest
Confirmation Filters:
Minimum number of touches (Zone Confirmation)
Price tolerance (%) to define valid flips
Zone Drawing: Lines and boxes with independent color, opacity, and extension options.
Labels: “R→S” / “S→R” plotted at flip bar.
Input & Customization Summary
Tab Inputs
Multi-TF Show/Hide table, table size, position, transparency, orientation, compact mode
Order Block Enable bullish/bearish, lookback period, label size, block colors
Supply Demand Enable supply/demand, lookback period, box extension, zone colors & opacity
R→S Lookback period, confirmation count, tolerance %, label size, support/resistance colors, extensions
Global Maximum bars/lines/boxes/labels & dynamic_requests for efficient multi-symbol loading
Why You’ll Love It
All-in-One: No need to load multiple scripts—everything you need lives under one roof.
Performance-Oriented: Efficient request.security usage and bar-limit settings to avoid repainting.
Highly Customizable: Tweak every visual element and detection parameter to fit your strategy.
Beginner-Friendly: Tabbed interface groups settings logically so you can get started in seconds.
Real Relative Strength vs SPY (Clean Visual)This indicator plots Real Relative Strength/Weakness (RS/RW) of any stock relative to SPY, normalised by ATR. Designed to aid trading aligned to RDT philosophy.
Designed for intraday and swing traders to quickly identify stocks showing true institutional strength or weakness compared to the market.
Uses a clean, color-coded center-line display for fast reading of live RS/RW performance.
It automatically syncs to whatever timeframe you’re trading (5min, 15min, 1hr)
Default comparison ticker is SPY (you can easily swap if needed later)
Length = 12 by default → (rolling 1-hour window on M5 chart)
Clean green/red visual breakout = immediately obvious relative strength or weakness!
How to use
Strong Green move above zero ➔ RS developing ➔ Long bias
Strong Red move below zero ➔ RW developing ➔ Short bias
Choppy around zero ➔ No clear edge ➔ maybe avoid that stock
Quarterly Fundamentals Table by GauravThis Pine Script v3 overlay paints a compact, six‐column table in the top‐right of your chart that begins with your stock’s market capitalization and sector/industry, then lays out quarterly fundamentals—Sales, Sales QoQ%, PAT, PAT QoQ% and OPM%—across the most recent four fiscal quarters (dynamically labeled by month and year). It pulls data via request.financial(), formats large numbers into lakhs/crores, calculates quarter‐over‐quarter growth, and sizes text for clarity, giving swing traders an at‐a‐glance view of key fundamental trends alongside price action.
Momentum Wave Oscillator📈 Momentum Wave Oscillator (MWO) 📈
The Momentum Wave Oscillator (MWO) is a precision-designed tool for traders who want early, reliable insight into market shifts — before they fully appear on price charts.
Instead of reacting late to moves, MWO is engineered to anticipate changes in momentum by tracking market pressure within a dynamic range.
Its built-in bands and visual cues make it simple to spot key moments where momentum exhaustion, reversals, or fresh breakouts are most likely to occur.
How to Use:
Buy Zones: When the oscillator moves up from lower regions (typically below 20), it may indicate momentum building to the upside.
Sell Zones: When the oscillator moves down from upper regions (typically above 80), it may suggest momentum starting to weaken.
Dynamic Bands:
Unlike conventional fixed levels like 20 and 80, MWO features dynamic adaptive bands that better reflect real-time changes in market behavior.
Markets are fluid — volatility and momentum strength vary from cycle to cycle. Static zones can miss important shifts or produce false signals.
The dynamic bands allow the indicator to adapt naturally to changing conditions, offering more precise context for overbought, oversold, or breakout environments.
Background Colors and Labels:
Automatic highlights appear when potential turning points are detected, allowing traders to act quickly without chart clutter.
Best Practices:
Use the MWO as a confirmation tool alongside your existing strategy (trendlines, support/resistance, volume spikes, etc.).
Look for agreement between the MWO and price action for higher probability entries.
Avoid relying on it in isolation during extremely low-volume periods, where momentum may appear artificially weak or strong.
Adjust sensitivity settings depending on your trading style (scalping vs swing trading).
Important Note:
The MWO is designed for educational and informational purposes. No indicator can predict the future with certainty. Always combine it with proper risk management and your personal trading plan.
Scalping Supertrend + Stochastic RSIThe Scalping Supertrend + Stochastic RSI Indicator is designed for short-term trading and scalping on lower timeframes. It combines the Supertrend indicator to identify trend direction with the Stochastic RSI to pinpoint overbought/oversold conditions for precise entry and exit signals. The indicator generates buy and sell signals when the Stochastic RSI crosses predefined levels (oversold/overbought) while aligned with the Supertrend’s trend direction.
Professional Candlestick + QQE Confirm v1.0Professional Candlestick + QQE Confirm v1.0
This indicator combines professional candlestick pattern detection with advanced momentum confirmation for ultra-high probability signals.
Features:
📜 Detects major candlestick patterns: Hammer, Shooting Star, Bullish/Bearish Engulfing, Morning Star, Evening Star, Doji.
⚡ Includes QQE (Quantitative Qualitative Estimation) Buy/Sell confirmation.
🔧 Optional extra confirmations: RSI filter, MACD histogram filter, VWAP filter.
🎯 Only shows signals when both pattern and momentum agree (optional settings).
📈 Perfect for traders looking for reliable reversal setups and momentum-confirmed entries.
🎨 Clean shape plotting with success rate percentages shown on chart.
🔔 Ready-made alert conditions for all buy/sell setups.
Customization Options:
Turn QQE confirmation ON or OFF.
Customize RSI, MACD, VWAP confirmations independently.
Fine-tune your filters based on market conditions and personal strategy.
Best used on:
Higher timeframes (15min, 1H, 4H, Daily) for more reliable signals.
Disclaimer:
This tool is for educational purposes only. Always use proper risk management and conduct your own analysis before trading.
Developed by Keyvan 🚀
ICT Ultimate Checklist | MARKET MAVERISK MOHAMMAD ESMAILIIThis indicator serves as a checklist for ICT traders. It stays on the chart regularly because the ICT method has various components for confirmation needed to enter a trade, helping us not to get distracted and stay on our strategy.
Advanced QQE Buy/Sell with Confirmation FiltersAdvanced QQE Buy/Sell with Confirmation Filters
This indicator provides high-probability Buy and Sell signals using an advanced Quantitative Qualitative Estimation (QQE) method, enhanced by optional powerful confirmation filters.
Core Strategy:
📈 QQE Signals: Based on smoothed RSI crossover of dynamic threshold bands.
🎯 Buy Signal: Triggered when RSI crosses above QQE Lower Band.
🎯 Sell Signal: Triggered when RSI crosses below QQE Upper Band.
Optional Confirmation Filters:
🔧 RSI Filter: Only accept buys when RSI > 55 or sells when RSI < 45.
🔧 MACD Histogram Filter: Confirms momentum direction.
🔧 VWAP Filter: Confirms if price is above (bullish) or below (bearish) VWAP.
Customization Options:
Adjust RSI Length, QQE Smoothing Length, and Threshold to match your trading style.
Independently toggle each confirmation filter ON/OFF from the settings.
VWAP line can also be plotted on chart for visual guidance.
Key Features:
Clean Buy (green up label) and Sell (red down label) signals plotted on chart.
Alerts available for Buy/Sell triggers.
Optimized for fast performance and low lag.
Recommended Timeframes:
15min, 1H, 4H, Daily.
Disclaimer:
This indicator is for educational purposes only. Trading involves risk. Always perform your own due diligence.
Developed and optimized by Keyvan 🚀
