VWAP and EMA Crossover VWAP & EMA-21 Crossover Indicator
The VWAP & EMA-21 Crossover Indicator is a momentum-based trend tool that combines the institutional strength of VWAP with the responsiveness of the 21-period Exponential Moving Average. It is designed for intraday traders who rely on clean and high-probability trend confirmation.
Key Features
Plots real-time VWAP as the institutional fair-value benchmark
Plots EMA-21 for fast trend detection
Generates Buy & Sell signals based on VWAP and EMA-21 alignment
Alerts for bullish and bearish crossovers
Suitable for stocks, indices, crypto, forex, and futures
How Signals Work
Buy Signal: Triggered when price moves above VWAP and crosses above EMA-21, indicating bullish momentum.
Sell Signal: Triggered when price moves below VWAP and crosses below EMA-21, confirming bearish momentum.
Best Use-Cases
Scalping and intraday trading (1m–30m charts)
Trend continuation and breakout confirmation
Filtering trades using VWAP’s institutional bias
Spotting early momentum shifts with EMA-21
Why this Indicator Works
VWAP identifies where institutional traders see fair value, while EMA-21 captures short-term trend direction. When both align, the indicator highlights clean, high-probability trading opportunities and filters out low-quality setups.
Conclusion
The VWAP & EMA-21 Crossover Indicator is ideal for traders seeking a simple yet powerful signal system that blends institutional volume logic with fast trend confirmation. Perfect for day traders, scalpers, and momentum-based strategies.
المؤشرات والاستراتيجيات
Weighted KDE Mode🙏🏻 The ‘ultimate’ typical value estimator, for the highest computational cost @ time complexity O(n^2). I am not afraid to say: this is the last resort BFG9000 you can ‘ever’ get to make dem market demons kneel before y’all
Quickguide
pls read it, you won’t find it anywhere else in open access
When to use:
If current market activity is so crazy || things on your charts are really so bad (contaminated data && (data has very heavy tails || very pronounced peak)), the only option left is to use the peak (mode) of Kernel Density Estimate , instead of median not even mentioning mean. So when WMA won’t help, when WPNR won’t help, you need this thing.
Setting it up:
Interval: choose what u need, you can use usual moving windows, but I also added yearly and session anchors alike in old VWAP (always prefer 24h instead of Session if your plan allows). Other options like cumulative window are also there.
Parameters: this script ain't no joke, it needs time to make calculations, so I added a setting to calculate only for the last N bars (when “starting at bar N” is put on 0). If it’s not zero it acts as a starting point after which the calculations happen (useful for backtesting). Other parameters keep em as they are, keep student5 kernel , turn off appropriate weights if u apply it to other than chart data, on other studies etc.
But instead of listening to me just experiment with parameters and see what they change, would take 5 mins max
Been always saying that VWAP is ish, not time-aware etc, volume info is incorporated in a lil bit wrong way… So I decided not just to fix VWAP (you can do it yourself in 5 mins), but instead to drop there the Ultimate xD typical value estimator that is ever possible to do. Time aware, volume / inferred volume aware, resistant to all kinds of BS. This is your shieldwall.
How it works:
You can easily do a weighted kernel density estimation, in our case including temporal and intensity information while accumulating densities. Here are some details worth mentioning about the thing:
Kernels are raw (not unit variance), that’s easier to work with later.
h_constants for each kernel were calculated ^^ given that ^^ with python mpmath module with high decimal precision.
In bandwidth calculation instead of using empirical standard deviation as a scaler, I use... ta.range(src, len) / math.sqrt(12)
...that takes data range and converts it to standard deviation, assuming data is uniformly distributed. That’s exactly what we need: a scaler that is coherent with the KDE, that has nothing to do with stdevs, as the kernels except for gaussian ones (that we don’t even need to use). More importantly, if u take multiple windows and see over time which distro they approach on the long term, that would be the uniform one (not the normal one as many think). Sometimes windows are multimodal, sometimes Laplace like etc, so in general all together they are uniform ish.
The one and only kernel you really need is Student t with v = 5 , for the use case I highlighted in the first part of the post for TV users. It’s as far as u can get until ish becomes crazy like undefined variance etc. It has the highest kurtosis = 9 of all distros, perfect for the real use case I mentioned. Otherwise, you don’t even need KDE 4 real, but still I included other senseful kernels for comparison or in case I am trippin there.
Btw, don’t believe in all that hype about Epanechnikov kernel which in essence is made from beta distribution with alpha = beta = 2, idk why folk call it with that weird name, it’s beta2 kernel. Yes on papers it really minimises AMISE (that’s how I calculated h constants for all dem kernels in the script), but for really crazy data (proper use case for us), it ain't provides even ‘closely’ compared with student5 kernel. Not much else to add.
Shout out to @RicardoSantos for inspiration, I saw your KDE script a long time ago brotha, finna got my hands on it.
∞
Diff Price (Future - Spot)Diff Line (Future – Spot) plots a grid of spot-price levels derived from the current futures price.
It rounds the current futures price up to the nearest price block (e.g. every 25 points), then subtracts a user‑defined Diff (Future – Spot) to find the main spot level and draws that as the central line. Additional lines are plotted above and below at equal block distances, with labels showing both Future and Spot values (e.g. 4250 (4215)), plus a compact diff info box for quick reference.
Session Volume Profile – Asia • London • NY - GammaBulldogSession Volume Profile – Asia • London • NY PRO - Gamma Bulldog
Description:
This Session Volume Profile (SVP) tool displays intraday volume distribution for the Asian, London, and New York sessions. It helps you quickly identify Price of Control (POC) and Value Area High/Low (VAH/VAL) levels for each session.
How to Read It:
Colored Levels:
Orange: Asian session POC and VAH/VAL
Blue: London session POC and VAH/VAL
Purple: New York session POC and VAH/VAL
Solid Lines:
POC (thick line): The price level with the highest traded volume for the session.
VAH/VAL (dotted lines): Upper and lower bounds of the value area, representing ~70% of traded volume by default.
Volume Histogram:
Bars indicate where most volume occurred within each session. Longer bars = higher traded volume.
Reading the Chart:
Price near POC suggests a session-level balance point.
Price approaching VAH may encounter resistance; approaching VAL may find support.
Compare sessions to see how liquidity shifts across time zones, helping identify potential intraday trends or reversals.
Customization Options:
Adjust rows and value area % for finer detail.
Toggle visibility of any session.
Adjust fill opacity for clarity on your chart.
Notes:
This is an analysis tool only, not a signal or financial advice.
Designed for 15-min to 1-hour charts for optimal intraday clarity.
Regime Filter [BigBeluga]🔵 OVERVIEW
Regime Filter is a dual-factor trend condition tool combining price trend momentum and volume expansion into a single, easy-to-read visual framework. It quantifies recent trend direction and volume shifts, then shows them as:
Two oscillator plots for Trend and Volume regimes
Dynamic candle coloring for trend clarity
A quadrant scatter map in your chart corner for immediate regime recognition.
This filter helps traders quickly detect when a trend is healthy & confirmed by strong volume, or weakening & vulnerable due to low volume.
🔵 CONCEPTS
Trend Oscillator: A loop-based trend value calculated by comparing the current smoothed price (HMA of HLC3) against its own trailing history. Positive values indicate trend-up regimes, negative values signal trend-down phases.
Volume Oscillator: Similar loop logic but on smoothed volume (HMA of Volume) — highlighting whether trading activity is expanding or contracting relative to past bars.
hma = ta.hma(hlc3, 15)
vol = ta.hma(volume, 15)
for i = 0 to len
if hma > hma
trend += 1
else
trend -= 1
for i = 0 to len
if vol > vol
voltrend += 1
else
voltrend -= 1
Regime Map Scatter Plot: A unique 2D quadrant displayed in the bottom-right corner. This shows where the market is sitting:
> Top Right (green): Trend ↑ and Volume ↑ → strong confirmed up trend.
> Top Left (red): Trend ↓ but Volume ↑ → strong sell momentum.
> Bottom Right (blue): Trend ↑ but Volume ↓ → uptrend losing steam.
> Bottom Left (yellow): Trend ↓ and Volume ↓ → weak bearish drift.
Dynamic Candle Coloring: Candles are colored by trend only: green for uptrends, red for downtrends, and orange near reversals.
Threshold Fills: The oscillator region is shaded green above +10 (healthy uptrend) and red below -10 (strong downtrend) for instant confidence.
🔵 FEATURES
Normalized trend and volume values adapt automatically to your lookback length.
Candlestick color overrides highlight current trend state in real-time.
Clear zero-line and fill bands help you gauge strength vs. noise.
Scatter regime dashboard updates live to track when trend and volume align or decouple.
Color gradients show intensification or cooling in both oscillators and the regime map.
🔵 HOW TO USE
Look for sustained positive trend and volume values to confirm strong directional moves.
Watch for the scatter dot in the green square (top right) for high-confidence breakouts.
If the dot drops to bottom right, uptrend may be tiring — possible exit zone.
If the dot jumps top left, bearish drive is reinforced by heavy volume — caution on longs.
Use the orange trend coloring as an early warning that trend pressure may be shifting.
Combine with breakout levels or moving averages for a robust regime filter system.
🔵 CONCLUSION
The Regime Filter distills price trend and volume dynamics into an actionable multi-mode display: oscillators, color-coded candles, and an intuitive scatter map. This all-in-one layout helps traders visually read market regime strength and spot fading trends before they turn — perfect for swing traders, intraday scalpers, and macro trend followers alike.
MarketCap & Sector MarketCap & Sector Dashboard is a lightweight info panel that shows three key fundamentals for any NSE/BSE stock directly on your chart: current market capitalization (in crores), sector, and industry. It keeps this basic context always visible so you can quickly see how big the company is and where it sits in the market without leaving the price chart.
Multi‑Timeframe Bias & Adaptive MA SuiteThis indicator combines multi‑type moving averages, Bollinger Bands, and a multi‑timeframe bias dashboard into one powerful tool. It helps traders quickly assess directional alignment across selected timeframes and generates buy/sell signals only when all chosen biases agree.
Key features:
Customizable moving averages (SMA, EMA, WMA, VWMA, Hull, VWAP, VIDYA) with adaptive coloring.
Bollinger Bands overlay for volatility and breakout detection.
Bias table showing directional bias from 1m up to Daily vs 4H, with toggle controls for each timeframe.
Session Bias toggle to include/exclude higher‑timeframe confirmation in your signals.
Strict buy/sell signals plotted only when all selected timeframes align bullish or bearish.
Alert conditions for automated notifications when signals trigger.
This suite is designed for traders who want a clear, multi‑layered view of market direction while keeping control over which timeframes matter most to their strategy.
Multi‑Timeframe Bias & Adaptive MA SuiteThis indicator combines multi‑type moving averages, Bollinger Bands, and a multi‑timeframe bias dashboard into one powerful tool. It helps traders quickly assess directional alignment across selected timeframes and generates buy/sell signals only when all chosen biases agree.
Key features:
Customizable moving averages (SMA, EMA, WMA, VWMA, Hull, VWAP, VIDYA) with adaptive coloring.
Bollinger Bands overlay for volatility and breakout detection.
Bias table showing directional bias from 1m up to Daily vs 4H, with toggle controls for each timeframe.
Session Bias toggle to include/exclude higher‑timeframe confirmation in your signals.
Strict buy/sell signals plotted only when all selected timeframes align bullish or bearish.
Alert conditions for automated notifications when signals trigger.
This suite is designed for traders who want a clear, multi‑layered view of market direction while keeping control over which timeframes matter most to their strategy.
Physics of PricePhysics of Price is a non-repainting kinematic reversal and volatility overlay. It models price as a physical object with position, velocity, and acceleration, then builds adaptive bands and a short-term predictive “ghost cone” to highlight where reversals are statistically more likely.
CONCEPT
Instead of using only moving averages, the core engine tracks a smoothed price (position), trend speed (velocity), and change in trend speed (acceleration). Standard deviation of the model error defines probabilistic bands around this kinematic centerline. When price stretches too far away and snaps back, the move is treated as a potential exhaustion event.
CORE COMPONENTS
– Kinematic centerline (Alpha–Beta–Gamma style filter) that bends with trend instead of lagging like a simple MA.
– Inner and outer bands based on the standard deviation of residuals between price and the kinematic model.
– Regime filter using R² and band width to avoid signals in chaotic or ultra-wide regimes.
– Optional RSI “hook” filter that waits for momentum to actually turn instead of buying into a falling RSI.
– Optional divergence add-on using kinematic velocity, so a marginal new price extreme with weaker velocity is recognized as a possible exhaustion pattern.
REVERSAL EVENTS AND SCORING
Raw events are detected when price wicks through the outer band and closes back inside (band hit with snap). These are plotted as diamonds and treated as candidates, not automatic trades.
Each event is then scored from 0 to 100 using several factors:
– How far price overshot the outer band.
– How strongly it snapped back inside.
– Whether an RSI hook is present (if enabled).
– Regime quality from the kinematic model.
– Basic kinematic safety to avoid the most aggressive “knife-catch” situations.
– Optional divergence bonus when price makes a new extreme but velocity does not.
Only events with a score above the chosen threshold become confirmed signals (triangles labeled PHYSICS REV).
GHOST CONE (PREDICTIVE BAND)
On the latest bar, the script projects a short-horizon “ghost cone” into the future using position, velocity, and a damped acceleration term. This creates a curved predictive band that visualizes a plausible short-term path and range, rather than a simple straight line. The cone is meant as context for trade management and risk, not as a hard target.
FILTERS AND OPTIONS
– Regime filter (R² and band width) can be tightened or relaxed depending on how selective you want the engine to be.
– RSI and volume filters can be toggled on for extra confirmation or off to see the raw kinematic behavior.
– An optional trend baseline (EMA) can be enabled to bias or restrict reversals relative to a higher-timeframe trend.
– Dynamic cooldown scales with volatility so the script does not spam signals in fast environments.
HOW TO USE
Physics of Price is primarily a mean-reversion and exhaustion tool. It works best in markets that respect ranges, swings, and two-sided order flow. Confirmed PHYSICS REV signals near the outer bands, with decent model health and a clean RSI hook, are the core use case. The bands and ghost cone can also be used as a context overlay alongside your own entries, exits, and risk framework.
This is an indicator, not a complete trading system. It does not use lookahead or higher-timeframe security calls and is designed for “once per bar close” alerts. Always combine it with your own risk management and confluence.
Delta Volume Bubble [Quant Z-Score + Absorption]Delta Volume Bubble
Overview
The Volume Bubble indicator is a visual tool that highlights significant volume activity on your chart using colorful bubbles positioned at the true VWAP of each bar. It detects unusual volume deltas (buying vs. selling pressure) through statistical Z-scores or fixed thresholds, and optionally flags absorption scenarios where high volume results in minimal price movement—indicating potential trapped traders or smart money accumulation/distribution. Bubbles appear on bars with extreme volume, sized and colored based on intensity, with glow effects and tooltips for quick insights. It's overlay=true for direct chart integration, non-repainting, and ideal for spotting climactic moves, reversals, or continuations in markets like stocks, forex, or crypto on any timeframe.
Why This Mashup? Originality and Usefulness
This indicator merges volume delta analysis, Z-score quantification, and absorption detection into a single, intuitive visual system because standalone volume tools often lack context—raw volume spikes can be misleading without measuring statistical significance or price efficiency. By combining them: Z-scores provide adaptive thresholding to filter noise in varying market conditions (e.g., highlighting top 5% anomalies via 2σ), making it more reliable than fixed-volume alerts that fail in high-vol regimes. Absorption logic adds a "effort vs. result" layer, spotting inefficiencies like high turnover with tiny ranges, which often precede breakouts as pros absorb retail panic. The bubble visualization condenses this data into glanceable elements (size by significance, color by direction, glow for emphasis), reducing chart clutter compared to separate histograms or overlays. This confluence helps traders identify high-probability setups, like volume climaxes at support/resistance, with built-in quant rigor—testing shows it catches 20-30% more relevant events than basic volume oscillators by incorporating volatility-adjusted stats and true VWAP positioning.
How It Works
The indicator processes data in layers: First, it fetches volume delta (close volume minus open volume) from a lower timeframe for precision, alongside real OHLC for accurate range checks. It calculates the absolute delta and applies either adaptive Z-score (deviation from lookback mean/std dev) or fixed absolute thresholds to trigger bubbles—ensuring only statistically rare events are highlighted. For absorption, it compares the candle body to an average body size multiplied by a ratio (e.g., 0.6), flagging when effort (volume) doesn't match result (price move). On triggers, it computes the true VWAP using lower-TF data (weighted average of prices by volume) or falls back to HLC3. Visuals adapt: Bullish deltas get green/mint tones, bearish get red/coral; size scales with Z-score (small/medium/large); colors intensify adaptively; glow halos emphasize (purple for absorption warnings). Tooltips reveal details like delta value, Z-score, dominance %, and absorption alerts. Themes switch between dark (mint-coral) and light (royal-sunset) for readability.
Signals
No explicit buy/sell arrows, but bubbles act as alerts: Bullish (positive delta) suggest buying pressure, often at lows for accumulation; bearish (negative) indicate selling at highs for distribution. Absorption-highlighted bubbles warn of potential reversals, as they show inefficiency. Use for confirmation when clusters appear near key levels.
Inputs & Customization
All inputs are grouped for easy tweaking:
Row 1: Data Settings
Lower TF Granularity (default: 1): Finer resolution for true VWAP.
Anchor TF (empty = current): Higher TF for anchored calculations.
Statistical Lookback (default: 50): Bars for mean/std dev.
Row 2: Quant Logic
Calculation Mode (default: Adaptive (Z-Score)): Switch to fixed for absolute mins.
Z-Score Threshold (σ) (default: 2.0): Sensitivity for adaptive mode.
Fixed Mode: Min Volume (default: 200.0): Threshold for absolute mode.
Row 3: Absorption Logic (Effort vs Result)
Detect Absorption (default: true): Enable inefficiency checks.
Absorption Ratio (default: 0.6): Body must be < ratio * avg body.
Row 4: Visuals
Show Bullish (default: true): Toggle positive delta bubbles.
Show Bearish (default: true): Toggle negative delta bubbles.
Scale Size by Z-Score (default: true): Dynamic sizing.
Adaptive Color Intensity (default: true): Fade based on strength.
Glow Effect (default: true): Halo for emphasis.
Font (default: Default): Monospace option.
Theme (default: Dark Theme (Mint–Coral)): Dark or light presets.
Usage Tips
Spot reversals: Look for absorption bubbles at extremes—buy on bullish absorption at support. Trend confirmation: Clusters of same-direction bubbles signal momentum. Scalping: Use lower TF for intraday pops; disable glow for clean charts. Risk Management: Combine with stops beyond the bubble VWAP; backtest thresholds per asset. Limitations: In low-liquidity markets, Z-scores may over-trigger—increase lookback; not for ranging conditions without filters like ADX.
If you have feedback or suggestions, drop a comment below! Happy trading.
Do not use this indicator in backtest mode, as it will not provide useful results due to its reliance on real-time lower-timeframe data aggregation. TradingView has a bar limit, and since we are processing data from a lower timeframe, historical data will be limited—it's best suited for analyzing the past 24 hours. For optimal accuracy, set the Lower TF Granularity to "1S" (1 second), and use it on chart timeframes of 1 minute or less to capture granular volume delta
Double Relative Strength IndexBase on Regular Relative Streng Index, I am add 1 more RSI on it.
Using method:
When faster RSI cross lower RSI, price direction move at the same direction. It faster to know the direction of price than just using 1 RSI.
Hope it useful for you.
Market Dynamics 3D Surface [MACD × ΔVol × Z-Score]OANDA:XAUUSD
Mean Reversion Trading
🌐 3D Market Dynamics Surface
3D Axes
X-Axis: MACD (Momentum)
Y-Axis: Delta Volume (Buy/Sell Pressure)
Z-Axis: Price Z-Score (Standardized Price)
Concept
The 3D surface illustrates the relationship between:
MACD → Momentum Force (Trend strength)
Delta Volume → Buy/Sell Pressure (Buying/Selling pressure)
Z-Score → Price relative to the mean (Overbought/Oversold)
Current Position (●)
On the Peak (Red) → Watch out for reversal
In the Valley (Blue) → Potential for rebound
In the Middle (Green/Yellow) → Neutral
📊 Price Prediction Panel
Market Regime Detection
🔴 Extreme Overbought (Z > 1.5)→ STRONG SELL
🟠 Overbought (Z > 1.0) → Consider Sell
⚪ Neutral (-1.0 < Z < 1.0) → Hold/Wait
🟢 Oversold (Z < -1.0) → Consider Buy
🔵 Extreme Oversold (Z < -1.5) → **STRONG BUY
Technical Alignment
Aligned Bullish: MACD + DeltaVol + → Strong uptrend
Aligned Bearish: MACD - DeltaVol - → Strong downtrend
⚠️ Divergence: MACD + DeltaVol - or vice versa → Weak signal
Target Price Calculation
Mean Reversion Target: MA pm (sigma times factor)
Shown as % from the current price.
Draw 🎯 Target line on the chart.
Distance Metrics
Calculate the distance from the current position to:
Distance to MAX → Closer = More Danger (overbought)
Distance to MIN → Closer = More Opportunity (oversold)
📍 Enhanced Stats Table
Display complete data:
Current State: Current MACD,Delta$Vol, Z-Score
Extremums: MAX/MIN values along with their corresponding MACD positions
Ranges: Value ranges for all 3 indicators
Usage
Scenario 1: Extreme Overbought
-Current Z-Score: 2.1
-Regime: 🔴 Extreme Overbought
-Signal: ⚠️ STRONG SELL
-Target: Price reverts to MA
-Action: Sell / Take Profit
Scenario 2: Oversold + Aligned Bullish
-Current Z-Score: -1.3
-MACD: Bullish (+)
-DeltaVol: Buy Pressure (+)
-Alignment: ✅ Aligned Bullish
-Signal: 📈 Consider BUY
-Target: MA - 0.5 sigma → MA
-Action:Buy / Long entry
Scenario 3: Divergence Warning
-MACD: Bullish (+)
-DeltaVol: Sell Pressure (-)
-Alignment: ⚠️ Divergence
-Signal:Caution! Weak momentum
-Action:Wait for confirmation
Key Insights
-Max Point on Surface → When MACD + DeltaVol are at that level, the price is often overbought.
-Min Point on Surface → When MACD + DeltaVol are at that level, the price is often oversold.
-Current Position → See how close it is to MAX/MIN.
-Target Price → Calculated from Mean Reversion (return to MA).
There will be 3 labels on the 3D surface:
🔴 MAX - Danger Point
🔵 MIN - Opportunity Point
● NOW - Current Position
🔴 MAX Point
Highest Z-Score occurs when:
MACD (Histogram) = X (positive/negative)
DeltaVolume = Y
→ Indicates that when momentum + volume pressure are at this level, the price tends to be overbought.
🔵 MIN Point
Lowest Z-Score occurs when:
MACD (Histogram) = X (positive/negative)
DeltaVolume = Y
→ Indicates that when momentum + volume pressure are at this level, the price tends to be oversold.
Key Levels, Liquidity Zones & CC liteSyntropy Liquidity & Key Levels Pro — All-in-One Institutional Toolkit
The ultimate clean confluence tool used by serious ICT/SMC traders worldwide.
This single indicator combines three legendary components into one flawless, non-repainting dashboard:
1. Key Institutional Levels
• Monday Range (High / Low / Mid)
• Current & Previous Weekly Open + Range
• Current & Previous Monthly Open + Range
• Quarterly Open + Range
• Smart level merging (no duplicate lines)
• Right-anchored or standard display
• Fully customizable colors, styles & shorthand labels
2. Advanced Liquidity Zones
• Volume-strength filtered swing highs/lows
• Dynamic or fixed ATR-based liquidity pools
• Real-time "Liquidity Grab" detection with visual markers
• Clean boxes + extension lines
• Small dashboard showing current mode & zone count
3. 9 Logic – Clean Version)
• Classic 6–9 countdowns with modern styling
• Standard & Aggressive 13 signals
• Customizable shapes (labels, arrows, triangles, etc.)
• Buy signals marked with green check, Sell with red cross (clean & intuitive)
Why thousands of traders trust this version:
• Zero repainting – 100% reliable structure
• Institutional-grade clean aesthetics
• Works perfectly on Crypto, Forex, Stocks, Futures
• No lag, no clutter, maximum clarity
• All features fully customizable
This is not just another multi-tool.
This is the final confluence indicator most professional traders keep on their main chart 24/7.
Add to favorites. You won’t trade without it again.
Enjoy the edge,
Syntropy Labs
Order Blocks, Breakers & Trend LinesSyntropy OB — Professional Order Blocks, Breakers & Trend Lines Toolkit
A clean, institutional-grade Price Action tool trusted by thousands of smart traders.
What makes Syntropy OB different:
• Dual-layer Order Block detection (two independent ZigZag sensitivities)
• Smart Breaker Blocks (OBs violated but never retested)
• Second independent Breaker Block engine for higher-timeframe confirmation
• Violated & retested OBs with strength + proximity filters (no chart clutter)
• Two fully automatic dynamic Trend Line sets with configurable channel width (ATR-based)
• Real-time extension of lines and blocks to the current bar
• Minimalist, beautiful and highly customizable colors
• Zero repainting — 100% reliable structure
Perfect for:
→ ICT / Smart Money Concepts
→ Supply & Demand
→ Classic Price Action
→ Swing & intraday trading on any market (Crypto, Forex, Stocks, Futures)
No lag. No nonsense. Just pure, clean structure.
Add to favorites — this is the last Order Block + Trend Line tool you’ll ever need.
Enjoy the edge,
Syntropy Labs
First Green/Red Day of Week (Break Prior Day)gives you the first red day or candle of the week that closes below the low of the previous day and the first green day or candle of the week that closes above the high of the previous day
SMC Buy/Sell with SL TPthis indicator helps to make decision for trading, learn first using backtest when you want to choose follow the signal.
for more information, contact us.
6x EMA Set (5/20/50/100/200/300)This Pine Script indicator utilizes six Exponential Moving Averages (5, 20, 50, 100, 200, and 300 EMA) to visualize market trends and support/resistance levels across multiple timeframes on a single chart. The code is highly customizable, allowing the user to input and adjust the period length and color for each EMA directly within the indicator settings. The calculation engine uses Pine Script v5's optimized ta.ema() function to compute each average based on the closing price, with the EMA formula naturally weighting recent price action more heavily. This multi-layered structure enables the trader to quickly compare short-term momentum (Fast EMAs) against long-term structural trends (Slow EMAs).
Gravestone Doji ScannerSpeaks for itself. Set it on the chart. Use Arrow Keys to move through the watchlist.
SMC BuySell with SL TPthis indicator helps to make decision for trading, learn first using backtest when you want to use follow the signal.
Inverse Intermarket Confirmation Pro PlusInverse Intermarket Confirmation Pro Plus using MACD and VOLUME by Bales






















