Market Structures Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Market Structures Screener! This screener can provide information about the latest market structures in up to 5 tickers. You can also customize the styling of the screener.
Features of the new Market Structures Screener :
Find Latest Market Structures Across 5 Tickers
Break Of Structure (BOS)
Change of Character (CHoCH)
Change of Character+ (CHoCH+)
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
Sometimes specific market structures form and break as the market fills buy & sell orders. Formed Change of Character (CHoCH) and Break of Structure (BOS) often mean that market will change direction, and they can be spotted by inspecting low & high pivot points of the chart.
This screener then finds market structures across 5 different tickers, and shows the latest information about them.
🚩UNIQUENESS
Formed market structures can be strong hints about the current direction and the state of the market, and our screener has the ability to detect Change Of Character structures of the market with higher sensitivity (CHoCH+), so you will miss less hints. This screener will then show the elapsed time of the found BOS, CHoCH and CHoCH+ structures.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan market structures here. You can also enable / disable them and set their individual timeframes.
在腳本中搜尋"smart"
Trading TP SL Risk Commission Calculator🎉 Introducing Your Trading TP SL Risk Commission Calculator! 🎉
Hey there, savvy trader! 🚀 Are you looking to enhance your trading game? Meet the Trading TP SL Risk Commission Calculator! This handy tool is here to guide you through the complexities of trading, providing insights into your potential risks and rewards. Let's walk through how you can leverage it for smarter trading decisions!
Setting Up 🛠
Let's get your calculator ready for action:
Lines and Labels Visibility: Flip this switch on to see your Entry, Take Profit (TP), Stop Loss (SL), and Liquidation points displayed on your chart. It's a great way to get a visual summary of your strategy.
Input Your Trade Details: Enter your Entry Price, Take Profit Price, and Stop Loss Price. These figures are crucial for mapping out your trade.
Order Info: Specify your Order Size in USD, the amount of Leverage you're using, and your platform's Commission Rate. This customizes the calculator to fit your unique trading setup.
Customizing Your View 🎨
Table Placement & Size: Pick the location and size for your results table to appear on your screen. Tailor it to your liking, whether you prefer it out of the way or front and center.
Deciphering Your Results 📊
With your inputs in place, the calculator springs into action. Here's what you'll find:
Risk Assessment (with Emojis!): Quickly gauge your risk level with our intuitive emoji system, ranging from "⛔️⛔️⛔️" (very high risk) to "✅✅✅" (very low risk).
Profit and Loss Insights: Understand your potential take-profit gains and stop-loss implications, both as percentages and in USD. We also factor in fees to give you a clear picture.
Liquidation Alert: For those using leverage, the liquidation price calculation is crucial to avoid unpleasant surprises.
Expert Tips 💡
Stay Flexible: Market conditions evolve, so should your strategy. Revisit and adjust your inputs regularly to stay aligned with your trading goals.
Risk Emoji Check: Keep an eye on your risk level emojis. A sea of "⛔️" might signal it's time to reassess your approach.
Use Visual Guides: The on-chart lines and labels offer a quick visual reference to how your current trade measures up against your TP, SL, and liquidation thresholds.
Dive In and Trade Smart! 🚦
This calculator isn't just about making calculations; it's about empowering you to make informed trading decisions. With this tool in your arsenal, you're equipped to navigate the trading waters with confidence and clarity.
Liquidity Finder Library🔵 Introduction
You may intend to utilize the "Liquidity" detection capability in your indicators. Instead of writing it, you can import the "Liquidity Finder" library into your code. One of the advantages of this approach is time-saving and reduction in scripting errors.
🔵 Key Features
Identification of "Statics Liquidity"
Identification of "Dynamics Liquidity"
🔵 How to Use
Firstly, you can add the library to your code as shown in the example below :
import TFlab/LiquidityFinderLibrary/1 as Liq
The parameters of the "LLF" function are as follows :
sPP : A float variable ranging from 0 to 0.4. Increasing this number decreases the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of detected lines. The default value is 0.3.
dPP : A float variable ranging from 0.4 to 1.95. Increasing this number increases the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of detected lines. The default value is 1.
SRs : An int variable. By default, it's set to 8. You can change this number to specify the periodicity of static liquidity pivot lines.
SRd : An int variable. By default, it's set to 3. You can change this number to specify the periodicity of dynamic liquidity pivot lines.
ShowHLLs : A bool variable. You can enable or disable the display of "High Statics Liquidity Line".
ShowLLLs : A bool variable. You can enable or disable the display of "Low Statics Liquidity Line".
ShowHLLd : A bool variable. You can enable or disable the display of "High Dynamics Liquidity Line".
ShowLLd : A bool variable. You can enable or disable the display of "High Dynamics Liquidity Line".
🟣Recommendation
You can use the following code snippet to import Liquidity Finder into your code for time-saving.
//import Library
import TFlab/LiquidityFinderLibrary/1 as Liq
//input
SLLS = input.float(0.30 , 'Statics Liquidity Line Sensitivity', maxval = 0.4 ,minval = 0.0, step = 0.01) // Statics Liquidity Line Sensitivity
DLLS = input.float(1.00 , 'Dynamics Liquidity Line Sensitivity', maxval = 1.95 ,minval = 0.4, step = 0.01) // Dynamics Liquidity Line Sensitivity
SPP = input.int(8 , 'Statics Period Pivot') // Statics Period Pivot
DPP = input.int(3 , 'Dynamics Period Pivot') // Dynamics Period Pivot
ShowSHLL = input.bool(true , 'Show Statics High Liquidity Line')
ShowSLLL = input.bool(true , 'Show Statics Low Liquidity Line')
ShowDHLL = input.bool(true , 'Show Dynamics High Liquidity Line')
ShowDLLL = input.bool(true , 'Show Dynamics Low Liquidity Line')
//call function
Liq.LLF(SPP,DPP,SLLS,DLLS,ShowSHLL,ShowSLLL,ShowDHLL,ShowDLLL)
ICT Unicorn Model [LuxAlgo]The ICT Unicorn Model indicator highlights the presence of "unicorn" patterns on the user's chart which is derived from the lectures of "The Inner Circle Trader" (ICT) .
Detected patterns are followed by targets with a distance controlled by the user.
🔶 USAGE
At its core, the ICT Unicorn Model relies on two popular concepts, Fair Value Gaps and Breaker Blocks. This combination highlights a future area of support/resistance.
A Bullish Unicorn Pattern consists out of:
A Lower Low (LL), followed by a Higher High (HH)
A Fair Value Gap (FVG), overlapping the established Breaker Block
A successful re-test of the FVG which confirms the pattern.
A Bearish Unicorn Pattern consists of:
A Higher High (HH), followed by a Lower Low (LL)
A Fair Value Gap (FVG), overlapping the established Breaker Block
A successful re-test of the FVG which confirms the pattern
The pattern detection depends on detected swings, which can be controlled by the Swing setting. Using higher values of this setting will return longer-term breaker blocks.
🔹 Using Risk/Reward Targets
A confirmed Unicorn pattern will show a blue ( Target ) / grey ( Stop Loss) "Risk/Reward" areas (RR).
When the Stop Loss or Target is hit, a white line is shown on the concerned side.
The Risk/Reward ratio can be adjusted in the "Targets" settings.
🔹 Trailing Stop
As seen in the previous snapshots, besides the RR areas, this indicator also includes an optional Trailing Stop .
This can be helpful to lower your risk, by exiting earlier than if you would wait until the Stop Loss is hit.
This example shows a successful bullish and bearish Unicorn Pattern . In this scenario, the Trailing Stop could be used for partial Take Profit.
The goal of this publication is to show confirmed Unicorn Patterns . To increase the chance of success, it is important to evaluate the bigger picture & use this in confluence with your price action analysis. For example, look for potential areas of liquidity, consider this pattern only during certain market sessions, avoid trading during heavy impact news, &/or incorporate other aspects of technical analysis rather than just following this pattern blindly.
🔶 DETAILS
🔹 Combine
When disabled, all potential Unicorn Patterns will delete previous unconfirmed patterns:
Enabling Combine ensures the last Unicorn Patterns in the opposite direction will remain.
While the latter bullish pattern became invalid, another one formed.
The combination of the previous bearish pattern, and looking at the big picture, the bullish pattern did not have much chance to be successful.
While disabling 'combine' helps minimize clutter, enabling this feature can give a pattern more chance to hit the SL/Target level.
🔹 Mitigated FVG
Users can determine if a pattern becomes invalid due to a mitigated FVG, causing the pattern to be deleted.
🔹 New pattern detected
When a new pattern is detected, the previous unconfirmed pattern in the same direction (bullish - bullish or bearish - bearish) will be deleted. This will always be the case, whether "Combine' is enabled or disabled.
When the previous pattern was confirmed but no SL or Target level was hit, this pattern will stop updating.
🔶 SETTINGS
🔹 Unicorn
Swings: This sets the length of swings, used for the underlying ZigZag and Unicorn Patterns detection.
Bull: Enable/disable Bullish patterns, and set the color of FVG box and Trailing Stop .
Bear: Enable/disable Bearish patterns, and set the color of FVG box and Trailing Stop .
Combine: When enabled, patterns in opposite directions (bullish/bearish) can exist at the same time. disabling this feature tends to give less clutter. See the "Usage" section for more information.
🔹 Targets
Risk/Reward: Sets the Risk/Reward ratio.
Trailing Stop: Set the length of small swings, which is used for the Trailing Stop .
Market Structure (Breakers) [LuxAlgo]The Market Structure (Breakers) indicator aims to detect "Breaker Market Structures", an original concept inspired by breaker blocks, and extend on the original concept of market structures by extending existing MS levels, providing supports/resistances as a result.
Various graphical elements are included that highlight the interactions between price and Breaker structures.
🔶 USAGE
Breaker structures occur when a market structure is confirmed (price breaking a previous swing level). The broken swing point is extended by a dotted line which can be used as potential support or resistance.
After a market structure, the price can eventually reverse and break one or multiple breaker structures at the same time, allowing for the detection of new trends in the price.
A market structure closer to the top/bottom of a trend can return Breaker structures breakouts more indicative of potential reversals.
Breakers MS breakouts can also be useful as exits for entries done using market market structures.
The script additionally highlights support/resistance events by highlighting candle borders, with a border using a green color indicating support events while a red color is indicative of a resistance event.
🔹 Breaker Structure Lifespan
The "lifespan" of Breaker structures, that is the amount of time the script will extend/evaluate them is determined by various user settings.
The Maximum Breaks setting determines the maximum amount of breaks a breaker structure can withstand before it is broken.
For example, a maximum amount of breaks of 3 for a bearish breaker structure would require the price to cross under that precise breaker structure level three times. Using higher values of this setting will also highlight more Breakers MS.
The Breaker Maximum Duration setting on the other hand determines how many bars a breaker structure can be evaluated without being broken. If a breaker structure is not broken after this amount of bars then it will stop being evaluated and will be removed.
🔶 SETTINGS
Swings Period: Period used for the swing detection, with higher values returning longer term markter structures.
Maximum Breaks: Amount of break required for a breaker block to be considered broken.
Breaker Maximum Duration: Maximum duration of a breaker block (in bars).
MM Trap Reversal System [TradeHawk]MM TRAP REVERSAL SYSTEM by Timmy741
The only indicator that doesn't just show arrows — it gives you the full battle plan.
Detects real Market Maker stop hunts (liquidity sweeps) and tells you exactly:
WHAT TO DO → BUY / SELL / WAIT
WHEN TO ENTER → Exact trigger candle
WHERE TO ENTER → Current close (or better on pullback)
WHERE YOUR STOP GOES → ATR or wick-based
YOUR TARGETS → 1:2, 1:3, 1:4+ calculated automatically
CONFIDENCE → Filtered by volume, trend, chop, overextension
NO TRADE ZONES → When to stay the hell out (this saves accounts)
FEATURES
• Real swing high/low breach + rejection detection
• Strong wick requirement (default 50%+ of candle)
• Volume confirmation option
• Smart filters: kills trades in chop, low volume, overextended moves
• ADX + VWAP + deviation filters
• Full risk:reward calculation per trade
• Clean trade instruction panel (no clutter)
This is the system professional prop traders use to catch reversals after stop runs.
Works on all markets: Forex, Stocks, Futures, Crypto
Best on 15m – 4H timeframes
No repainting | No future leak | No magic
Just pure price action + liquidity concepts.
Released under MPL 2.0 — fully open source because real traders share the real stuff.
#mmtrap #stophunt #liquidity #reversal #smartmoney #ict #orderblock #fairvaluegap #fvg #propfirm #proptrading #reversalsystem
@Unwind Pressure Detector - AUDITED v3.0SQUEEZE → UNWIND PRESSURE DETECTOR v3.0
The first indicator that not only finds oversold squeezes… but tells you exactly when the move is exhausting and it’s time to take profits.
Fully audited, clean Pine Script v6, zero repainting, zero lag tricks.
WHAT IT DOES
• Detects high-probability squeeze setups (RSI + Volume + VIX + Trend confluence)
• Scores pressure from 0–115 with dynamic sensitivity (Low to Extreme)
• Identifies CRITICAL zones where explosive moves are most likely
• Most importantly → flags the UNWIND when trapped shorts are finally covering and the rally is running out of fuel (perfect profit-taking signal)
FEATURES
• Real-time pressure dashboard (top-right)
• Color-coded background zones (Critical = red, High = orange)
• Smart anti-spam labels with ATR offset
• Three alert conditions:
→ Squeeze Setup
→ Critical Squeeze
→ Unwind / Take Profit
• Works on all markets & timeframes (stocks, forex, crypto, futures)
WHY THIS VERSION IS DIFFERENT
- v3.0 completely rewrote the unwind logic (now requires rally + sharp pressure drop)
- No false unwinds during strong trends
- Built for real trading, not just pretty screenshots
100% Open Source • Fully commented • Free to modify & rep, I want this in the public library forever.
Created with love for the TradingView community
Drop a ♥ and follow if you find it useful!
#squeeze #ttmsqueeze #unwind #volatility #vix #takeprofits #smartmoney
Aquantprice: Institutional Structure MatrixSETUP GUIDE
Open TradingView
Go to Indicators
Search: Aquantprice: Institutional Structure Matrix
Click Add to Chart
Customize:
Min Buy = 10, Min Sell = 7
Show only PP, R1, S1, TC, BC
Set Decimals = 5 (Forex) or 8 (Crypto)
USE CASES & TRADING STRATEGIES
1. CPR Confluence Trading (Most Popular)
Rule: Enter when ≥3 timeframes show Buy ≥10/15 or Sell ≥7/13
text Example:
Daily: 12/15 Buy
Weekly: 11/15 Buy
Monthly: 10/15 Buy
→ **STRONG LONG BIAS**
Enter on pullback to nearest **S1 or L3**
2. Hot Zone Scalping (Forex & Indices)
Rule: Trade only when price is in Hot Zone (closest 2 levels)
text Hot: S1-PP → Expect bounce or breakout
Action:
- Buy at S1 if Buy Count ↑
- Sell at PP if Sell Count ↑
3. Institutional Reversal Setup
Rule: Price at H3/L3 + Reversal Condition
text Scenario:
Price touches **Monthly L3**
L3 in **Hot Zone**
Buy Count = 13/15
→ **High-Probability Reversal Long**
4. CPR Width Filter (Avoid Choppy Markets)
Rule: Trade only if CPR Label = "Strong Trend"
text CPR Size < 0.25 → Trending
CPR Size > 0.75 → Sideways (Avoid)
5. Multi-Timeframe Bias Dashboard
Use "Buy" and "Sell" columns as a sentiment meter
TimeframeBuySellBiasDaily123BullishWeekly89BearishMonthly112Bullish
→ Wait for alignment before entering
HOW TO READ THE TABLE
Column Meaning Time frame D, W, M, 3M, 6M, 12MOpen Price Current session open PP, TC, BC, etc. Pivot levels (color-coded if in Hot Zone) Buy X/15 conditions met (≥10 = Strong Buy)Sell X/13 conditions met (≥7 = Strong Sell)CPR Size Histogram + Label (Trend vs Range)Zone Hot: PP-S1, Med: S2-L3, etc. + PP Distance
PRO TIPS
Best on 5M–1H charts for entries
Use with volume or order flow for confirmation
Set alerts on Buy ≥12/15 or Sell ≥10/13
Hide unused levels to reduce clutter
Combine with AQuantPrice Dashboard (Small TF) for full system
IDEAL MARKETS
Forex (EURUSD, GBPUSD, USDJPY)
Indices (NAS100, SPX500, DAX)
Crypto (BTC, ETH – use 6–8 decimals)
Commodities (Gold, Oil)
🚀 **NEW INDICATOR ALERT**
**Aquantprice: Institutional Structure Matrix**
The **ALL-IN-ONE CPR Dashboard** used by smart money traders.
✅ **6 Timeframes in 1 Table** (Daily → Yearly)
✅ **15 Buy + 13 Sell Conditions** (Institutional Logic)
✅ **Hot Zones, CPR Width, PP Distance**
✅ **Fully Customizable – Show/Hide Any Level**
✅ **Real-Time Zone Detection** (Hot, Med, Low)
✅ **Precision up to 8 Decimals**
**No more switching charts. No more confusion.**
See **where institutions are positioned** — instantly.
👉 **Add to Chart Now**: Search **"Aquantprice: Institutional Structure Matrix"**
🔥 **Free Access | Pro-Level Insights**
*By AQuant – Trusted by 10,000+ Traders*
#CPR #PivotTrading #SmartMoney #TradingView
FINAL TAGLINE
"See What Institutions See — Before They Move."
Aquantprice: Institutional Structure Matrix
Your Edge. One Dashboard.
ZigZag Based RSIDescription
ZigZag Trend RSI (ZZ-RSI) is an advanced momentum indicator that combines ZigZag-based trend detection with a trend-adjusted RSI to deliver smarter overbought and oversold signals. Unlike traditional RSI that reacts purely to price movement, this indicator adapts its sensitivity based on the prevailing trend structure identified via the ZigZag pattern.
By dynamically adjusting RSI thresholds according to market direction, ZZ-RSI helps filter out false signals and aligns RSI readings with broader trend context—crucial for trend-following strategies, counter-trend entries, and volatility-based timing.
Core Components
ZigZag Pattern Recognition:
Identifies significant swing highs and lows based on price deviation (%) and pivot sensitivity (length). The most recent pivot determines the prevailing trend direction:
🟢 Bullish: last swing is a higher high
🔴 Bearish: last swing is a lower low
⚪ Neutral: no recent significant movement
Trend-Weighted RSI:
Modifies traditional RSI input by emphasizing price changes in the direction of the trend:
In bull trends, upside moves are magnified.
In bear trends, downside moves are emphasized.
Dynamic RSI Zones:
Overbought and Oversold thresholds adapt to the trend:
In uptrends: higher OB and slightly raised OS → tolerate stronger rallies
In downtrends: lower OS and slightly reduced OB → accommodate stronger sell-offs
In neutral: default OB/OS values apply
How to Use
✅ Entries (Reversal or Mean Reversion Traders):
Look for oversold signals (green triangle) in downtrends or neutrals to catch potential reversals.
Look for overbought signals (red triangle) in uptrends or neutrals to fade momentum.
Confirm with price action or volume for higher conviction.
📈 Trend Continuation (Momentum or Trend-Followers):
Use the trend direction label (Bullish / Bearish / Neutral) to align your trades with the broader move.
Combine with moving averages or price structure for entry timing.
Avoid counter-trend signals unless confirmed by divergence or exhaustion.
🧠 Signal Interpretation Table (top right of chart):
Trend: Indicates the current market direction.
RSI: Real-time trend-adjusted RSI value.
Signal: OB/OS/Neutral classification.
Customization Options
ZigZag Length / Deviation %:
Adjust pivot sensitivity and filter out minor noise.
RSI Length:
Controls how fast RSI responds to trend-adjusted price.
Color Settings:
Personalize visual cues for trend direction and OB/OS backgrounds.
Alerts Included
📢 Overbought/oversold conditions
🔄 Trend reversals (bullish or bearish shift)
These alerts are ideal for automated strategies, mobile notifications, or algorithmic workflows.
Ideal For
Traders seeking smarter RSI signals filtered by market structure
Trend-followers and swing traders looking for reliable reversals
Those frustrated with false OB/OS signals in volatile or trending markets
Best Practices
Use in confluence with price structure, trendlines, or S/R levels.
For intraday: consider lowering ZigZag Length and RSI Length.
For higher timeframes: use higher deviation % and smoother RSI to reduce noise.
CoffeeShopCrypto Supertrend Liquidity EngineMost SuperTrend indicators use fixed ATR multipliers that ignore context—forcing traders to constantly tweak settings that rarely adapt well across timeframes or assets.
This Supertrend is a nodd to and a more completion of the work
done by Olivier Seban ( @olivierseban )
This version replaces guesswork with an adaptive factor based on prior session volatility, dynamically adjusting stops to match current conditions. It also introduces liquidity-aware zones, real-time strength histograms, and a visual control panel—making your stoploss smarter, more responsive, and aligned with how the market actually moves.
📏 The Multiplier Problem & Adaptive Factor Solution
Traditional SuperTrend indicators rely on fixed ATR multipliers—often arbitrary numbers like 1.5, 2, or 3. The issue? No logical basis ties these values to actual market conditions. What works on a 5-minute Nasdaq chart fails on a daily EUR/USD chart. Traders spend hours tweaking multipliers per asset, timeframe, or volatility phase—and still end up with stoplosses that are either too tight or too loose. Worse, the market doesn’t care about your setting—it behaves according to underlying volatility, not your parameter.
This version fixes that by automating the multiplier selection entirely. It uses a 4-zone model based on the current ATR relative to the previous session’s ATR, dynamically adjusting the SuperTrend factor to match current volatility. It eliminates guesswork, adapts to the asset and timeframe, and ensures you’re always using a context-aware stoploss—one that evolves with the market instead of fighting it.
ATR EXAMPLE
Let’s say prior session ATR = 2.00
Now suppose current ATR = 0.32
This places us in Zone 1 (Very Low Volatility)
It doesn’t imply "overbought" or "oversold" — it tells you the market is moving very little, which often means:
Lower risk | Smaller stops | Smaller opportunities (and losses)
🔁 Liquidity Zones vs. Arbitrary Pullbacks
The standard SuperTrend stop loss line often looks like price “barely misses it” before continuing its trend. Traders call this "stop hunting," but what’s really happening is liquidity collection—price pulls back into a zone rich in orders before continuing. The problem? The old SuperTrend doesn’t show this zone. It only draws the outer limit, leaving no visual cue for where entries or continuation moves might realistically originate.
This script introduces 2 levels in the Liquidity Zone. One for Support and one for Stophunts, which draw dynamically between the current price and the SuperTrend line. These levels reflect where the market is most likely to revisit before resuming the trend. By visualizing the area just above the Supertrend stop loss, you can anticipate pullbacks, spot ideal re-entries, and avoid premature exits. This bridges the gap between mechanical stoploss logic and real-world liquidity behavior.
⏳ Prior Session ATR vs. Live ATR
Using real-time ATR to determine movement potential is like driving by looking in your rearview mirror. It’s reactive, not predictive. Traders often base decisions on live ATR, unaware that today’s range is still unfolding —creating volatility mismatches between what’s calculated and what actually matters. Since ATR reflects range, calculating it mid-session gives an incomplete and misleading picture of true volatility.
Instead, this system uses the ATR from the previous session , anchoring your volatility assumptions in a fully-formed price structure . It tells you how far price moved in the last full market phase—be it London, New York, or Tokyo—giving you a more reliable gauge of expected range today. This is a smarter way to estimate how far price could move rather than how far it has moved.
The Smoothing function will take the ATR, Support, Resistance, Stophunt Levels, and the Moving Avearage and smooth them by the calculation you choose.
It will also plot a moving average on your chart against closing prices by the smoothing function you choose.
🧭 Scalping vs. Trending Modes
The market moves in at least 4 phases. Trending, Ranging, Consolidation, Distribution.
Every trader has a different style —some scalp low-volatility moves during off-hours, while others ride macro trends across days. The problem with classic SuperTrend? It treats every market condition the same. A fixed system can’t possibly provide proper stoploss spacing for both a fast scalp and a long-term swing. Traders are forced to rebuild their system every time the market changes character or the session shifts.
This version solves that with a simple toggle:
Scalping or Trend Mode . With one switch, it inverts the logic of the adaptive factor to either tighten or loosen your trailing stops. During low-liquidity hours or consolidation phases, Scalping Mode offers snug stoplosses. During expansion or clear directional bias.
Trend Mode lets the trade breathe. This is flexibility built directly into the logic—not something you have to recalibrate manually.
📉 Histogram Oscillator for Move Strength
In legacy indicators, there’s no built-in way to gauge when the move is losing power . Traders rely on price action or momentum indicators to guess if a trend is fading. But this adds clutter, lag, and often contradiction. The classic SuperTrend doesn’t offer insight into how strong or weak the current trend leg is—only whether price has crossed a line.
This version includes a Trending Liquidity Histogram —a histogram that shows whether the liquidity in the SuperTrend zone is expanding or compressing. When the bars weaken or cross toward zero, it signals liquidity exhaustion . This early warning gives you time to prep for reversals or anticipate pullbacks. It even adapts visually depending on your trading mode, showing color-coded signals for scalping vs. trending behavior. It's both a strength gauge and a trade timing tool—built into your stoploss logic.
Histogram in Scalping Mode
Histogram in Trending Mode
📊 Visual Table for Real-Time Clarity
A major issue with custom indicators is opacity —you don’t always know what settings or values are currently being used. Even worse, if your dynamic logic changes mid-trade, you may not notice unless you go digging into the code or logs. This can create confusion, especially for discretionary traders.
This SuperTrend solves it with a clean visual summary table right on your chart. It shows your current ATR value, adaptive multiplier, trailing stop level, and whether a new zone size is active. That means no surprises and no second-guessing—everything important is visible and updated in real-time.
Entropy Bands (TechnoBlooms)Entropy Bands — A New Era of Volatility and Trend Analysis
Entropy Bands is our next indicator as a part of the Quantum Price Theory (QPT) Series of indicators.
🧠 Overview
Entropy Bands are an advanced volatility-based indicator that reimagines traditional banded systems like Bollinger Bands.
Built on entropy theory, adaptive moving averages, and dynamic volatility measurement, Entropy Bands provide deeper insights into market randomness, trend strength, and breakout potential.
Instead of only relying on price deviation (like Bollinger Bands), Entropy Bands integrate chaos theory principles to create smarter, more responsive dynamic bands that adapt to real market behavior.
🚀Why is Entropy Bands Different — and Better
Dynamic Band Width : Adjusts using both entropy and ATR, creating smarter expansion/contraction.
Multi-Moving Average Core : Choose between SMA, EMA, or WMA for optimal centerline behavior.
Noise and Breakout Filtering : Filters fake breakouts by analyzing candle body size and entropy conditions.
Visual Clarity : Background and candle coloring highlight chaotic/noisy zones, trend zones, and breakout moments.
Entropy Bands don't just react to price — they analyze the underlying market behavior, offering superior decision-making signals.
📚 Watch Band Behavior:
Bands expand during volatility spikes or chaotic conditions.
Bands contract during low volatility or tight consolidation zones.
📚 Analyze Candle Coloring:
Green = Bullish breakout (closing above upper band).
Pink = Bearish breakout (closing below lower band).
Gray = Inside bands (neutral/random noise).
✨ Key Features of Entropy Bands:
Entropy-Based Band Width Calculation: A scientific edge over pure price deviation methods.
Dynamic Background Coloring: Highlights high entropy areas where randomness dominates.
Candle Breakout Coloring: Easy-to-spot trend breakouts and strength moves.
Multi-MA Flexibility: Adapt the bands’ core to trending, ranging, or volatile markets.
Body Size Filter: Protects against fake breakouts by requiring meaningful candle body moves.
MA SniperThis indicator automatically finds the most effective moving average to use in a price crossover strategy—so you can focus on trading, not testing. It continuously evaluates a wide range of moving average periods, ranks them based on real-time market performance, and selects the one delivering the highest quality signals. The result? A smarter, adaptive tool that shows you exactly when price crosses its optimal moving average—bullish signals in green, bearish in red.
What makes it unique is the way it thinks.
Under the hood, the script doesn’t just pick a random MA or let you choose one manually. Instead, it backtests a large panel of moving average lengths for the current asset and timeframe. It evaluates each one by calculating its **Profit Factor**—a key performance metric used by pros to measure the quality of a strategy. Then, it assigns each MA a score and ranks them in a clean, built-in table so you can see, at a glance, which ones are currently most effective.
From that list, it picks the top-performing MA and uses it to generate live crossover signals on your chart. That MA is plotted automatically, and the signals adapt in real-time. This isn’t a static setup—it’s a dynamic system that evolves as the market evolves.
Even better: the indicator detects the type of instrument you’re trading (forex, stocks, etc.) and adjusts its internal calculations accordingly, including how many bars per day to consider. That means it remains highly accurate whether you’re trading EURUSD, SPX500, or TSLA.
You also get a real-time dashboard (via the table) that acts as a transparent scorecard. Want to see how other MAs are doing? You can. Want to understand why a certain MA was selected? The data is right there.
This tool is for traders who love crossover strategies but want something smarter, faster, and more precise—without spending hours manually testing. Whether you're scalping or swing trading, it offers a data-driven edge that’s hard to ignore.
Give it a try—you’ll quickly see how powerful it can be when your MA does the thinking for you.
This tool is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Use responsibly.
BTC Trend Momentum (BTM) with VWMOBTC Trend Momentum (BTM) with VWMO – A Smarter Way to Trade Bitcoin 🚀
Overview
Bitcoin price movements can be volatile, often leading to fake breakouts and whipsaws that mislead traders. BTC Trend Momentum (BTM), combined with Volume Weighted Moving Average (VWMO), helps smooth out market noise and provide clearer trend signals.
This script integrates momentum analysis, trend strength detection, and zero-line crossovers, allowing traders to make smarter entries and exits while avoiding false signals.
⸻
Why Use This Indicator?
✅ Momentum Histogram – Easily visualize trend strength with color-coded bars.
✅ Volume-Weighted Analysis – Uses VWMO to filter out weak price movements.
✅ Zero Line Crossover Alerts – Identifies major trend shifts in real-time.
✅ Dynamic Color Coding – Stronger trends highlighted in brighter colors.
✅ Background Shading – Differentiates bullish & bearish zones for easy trend reading.
✅ Built-in Alerts – Get notified of trade opportunities instantly.
⸻
How to Trade Using BTC Trend Momentum (BTM)
🔹 Buy Signal: When the momentum histogram (green bars) crosses above the EMA (orange line).
🔹 Sell Signal: When the momentum histogram (red bars) crosses below the EMA.
🔹 Strong Trend Confirmation: If histogram bars turn lime (bullish) or maroon (bearish), it indicates strong momentum.
🔹 Zero Line Crossovers: A bullish crossover above zero confirms an uptrend, while a bearish crossover below zero confirms a downtrend.
For better results, combine with RSI, MACD, or VWAP to confirm trend strength before entering trades.
⸻
Best Timeframes for Trading
📌 1H & 4H – Ideal for swing trading Bitcoin.
📌 5M & 15M – Perfect for scalping BTC with precision.
⸻
💡 Would you integrate BTC Trend Momentum (BTM) into your trading strategy? Let us know your thoughts below!
Apex Trend & Liquidity Master v2.1CONCEPT & OVERVIEW The Apex Trend & Liquidity Master v2.1 is a comprehensive trading suite designed to unify Trend Following, Smart Money Concepts (SMC), and Momentum detection into a single, clutter-free interface.
While the original version provided a foundational trend cloud and pivot points, this v2.1 Edition represents a complete architectural overhaul. It moves beyond simple signal generation by incorporating institutional-grade filters (ADX & Volume), advanced oscillator logic (WaveTrend), and dynamic risk management tools (Chandelier Exits).
KEY IMPROVEMENTS VS. ORIGINAL
From Static to Dynamic Momentum: Replaced the rigid RSI filter with a Multi-Engine Oscillator (WaveTrend, MFI, or RSI), allowing for smoother cycle detection.
From "Pivots" to "Smart Structure": The liquidity engine now detects Swing Failure Patterns (SFP)—identifying when price "pokes" a level to trap traders before reversing—and automatically cleans up mitigated zones.
Choppy Market Protection: Added an ADX (Average Directional Index) integration to strictly filter out signals during flat/sideways markets.
Risk Management Layer: Introduced a Smart Trailing Stop (ATR-based Chandelier Exit) to help traders manage active positions objectively.
Visual Overhaul: Features a modern gradient trend cloud and a fully adaptive "Heads-Up Display" (HUD) that provides real-time market stats.
MAIN FEATURES
1. The Gradient Trend Cloud Uses a volatility-adjusted Moving Average (HMA/EMA/SMA) to define the baseline bias. The cloud expands and contracts based on market volatility (ATR).
Green Gradient: Bullish Bias (Look for Longs).
Red Gradient: Bearish Bias (Look for Shorts).
2. Smart Liquidity & SFPs Automatically plots Supply (Resistance) and Demand (Support) zones.
Mitigation Logic: Zones are automatically removed when price validates and breaks through them, keeping the chart clean.
SFP Detection: Detects "Fake-outs" where price sweeps a high/low but closes back within the range—a high-probability reversal signal.
3. The Momentum Engine You can now select the engine that drives your signals:
WaveTrend (Default): An institutional oscillator that is smoother than RSI and excellent for spotting cycles.
MFI: Volume-weighted RSI that ignores price moves unsupported by volume.
RSI: Classic price velocity.
Includes hidden divergence detection for all three engines.
4. Signal Filters
Volume Filter: Ensures signals are backed by above-average volume.
ADX Filter: Prevents signals when the trend strength is weak (ADX < 20).
HOW TO USE
For a Long Setup:
Trend: The Cloud must be Green.
Signal: Wait for a BUY label (confirmed by Volume + ADX).
Confluence: Ideally, price is bouncing off a Green Demand Zone or forming a Bullish Divergence.
Exit: Trail your stop loss along the Smart Trailing Stop line until price closes below it.
For a Short Setup:
Trend: The Cloud must be Red.
Signal: Wait for a SELL label (confirmed by Volume + ADX).
Confluence: Ideally, price is rejecting a Red Supply Zone or forming a Bearish Divergence.
Exit: Trail your stop loss along the Smart Trailing Stop line until price closes above it.
SETTINGS & TOOLTIPS Every single setting in this script includes a detailed tooltip. Simply hover over the "i" icon in the settings menu to understand exactly what each input controls and how to adjust it for your specific asset (Crypto, Forex, or Stocks).
3. Disclaimer
DISCLAIMER This script is for educational and informational purposes only and does not constitute financial advice. Trading financial markets involves a high level of risk and may not be suitable for all investors. Past performance of any indicator or strategy is not indicative of future results. The author accepts no liability for any losses incurred while using this script. Always practice proper risk management.
Advanced FVG Detector Pro📊 Advanced FVG Detector Pro - Smart Money Analysis Tool
Overview
The Advanced FVG Detector Pro is a sophisticated Pine Script v6 indicator designed to identify and track Fair Value Gaps (FVGs) with institutional-grade precision. This tool goes beyond basic gap detection by incorporating volume analysis, smart money scoring, and adaptive filtering to help traders identify high-probability trading opportunities.
What are Fair Value Gaps?
Fair Value Gaps (FVGs) are price inefficiencies that occur when the market moves so quickly that it leaves behind an imbalance or "gap" in price action. These gaps often act as magnets for future price movement as the market seeks to fill these inefficiencies. Professional traders and institutions closely monitor FVGs as they represent areas of potential support, resistance, and high-probability trade setups.
🎯 Key Features
1. Smart Money Scoring System
Proprietary algorithm that rates each FVG on a 0-100 scale Combines gap size, volume strength, price location, and trend alignment Filter out low-quality setups by setting minimum score thresholdsFocus on institutional-grade opportunities with scores above 70
2. Advanced Volume Validation
Validates FVGs with volume analysis to reduce false signals Only displays gaps formed during significant volume periods Customizable volume multiplier for different market conditions
Visual volume strength indicators on chart
3. Flexible Mitigation Options
Full Fill: Traditional complete gap closure Midpoint Touch: More aggressive entry strategy
Partial Fill: Customizable percentage-based mitigation (10-90%) Choose the strategy that matches your trading style
4. ATR-Based Adaptive Filtering
Automatically adjusts to market volatility using Average True Range Works consistently across any instrument, timeframe, or volatility regime No manual recalibration needed when switching markets Filters out noise while capturing meaningful gaps
5. Real-Time Statistics Dashboard
Live tracking of total active FVGs Bullish vs Bearish gap count Mitigation rate percentage
Average Smart Money Score Toggle on/off based on preference
6. Professional Visual Design
Clean, customizable color schemes Optional midline display for precise entry planning
Labels showing gap type, score, and volume strength Automatic extension of active gaps
Mitigated gaps change color for easy identification
📈 How to Use
For Day Traders:
Use 5-15 minute timeframes
Set ATR Multiplier to 0.15-0.25
Enable volume validation
Focus on FVGs with scores above 65
For Swing Traders:
Use 1H-4H timeframes
Set ATR Multiplier to 0.5-1.0
Use "Midpoint Touch" mitigation
Focus on FVGs with scores above 70
For Position Traders:
Use Daily timeframe
Set ATR Multiplier to 0.75-1.5
Use "Full Fill" mitigation
Focus on FVGs with scores above 75
🔧 Customization Options
Detection Settings:
Minimum FVG size percentage filter
ATR-based size filtering
Maximum number of gaps to display
Smart Money Score minimum threshold
Volume Analysis:
Volume validation toggle
Volume multiplier adjustment
Volume moving average period
Visual volume strength background
Mitigation Control:
Choose mitigation type (Full/Midpoint/Partial)
Set partial fill percentage
Auto-remove mitigated gaps
Control how long mitigated gaps remain visible
Visual Customization:
Bullish/Bearish/Mitigated colors
Show/hide midlines
Show/hide labels
Box extension length
Statistics dashboard toggle
🎓 Trading Strategy Ideas
1. FVG Retest Strategy
Wait for price to create a high-score FVG (70+)
Enter on the first retest of the gap
Place stop loss beyond the gap
Target the opposite side of the gap or next FVG
2. Confluence Trading
Combine FVGs with support/resistance levels
Look for FVGs near key moving averages (20/50 EMA)
Higher probability when FVG aligns with trendlines
Use multiple timeframe analysis
3. Breakout Confirmation
FVGs often form during strong breakouts
High-volume FVGs confirm breakout strength
Enter on mitigation of breakout FVG
Trail stops as new FVGs form in trend direction
⚡ Performance Optimizations
Efficient memory management for smooth chart performance
Optimized calculations run only once per bar
Smart array management prevents memory leaks
Works smoothly even with 100+ active FVGs
🔔 Alert System
Customizable alerts for new bullish FVGs
Customizable alerts for new bearish FVGs
Mitigation alerts for active gaps
Frequency control to avoid alert spam
💡 Pro Tips
Multi-Timeframe Approach: Identify major FVGs on higher timeframes (Daily/4H) and use lower timeframes (15M/5M) for precise entries
Volume Confirmation: The highest probability setups occur when FVGs form with 2x+ average volume
Trend Alignment: Trade FVGs in the direction of the major trend for best results
Patience Pays: Wait for price to return to the FVG rather than chasing breakouts
Risk Management: Always use stop losses beyond the FVG boundaries
📚 Educational Value
This indicator is perfect for:
Learning to identify institutional order flow
Understanding market microstructure
Developing price action trading skills
Recognizing supply and demand imbalances
Improving entry and exit timing
⚠️ Disclaimer
This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. Always combine with proper risk management, fundamental analysis, and your own trading plan. Past performance does not guarantee future results.
🔄 Updates & Support
Regular updates will include:
Additional filtering options
Enhanced multi-timeframe analysis
More customization features
Performance improvements
📊 Best Pairs/Markets
Works excellently on:
Forex pairs (EUR/USD, GBP/USD, etc.)
Cryptocurrency (BTC, ETH, etc.)
Stock indices (SPX, NQ, etc.)
Individual stocks
Commodities (Gold, Oil, etc.)
Version Information
Version: 1.0
Pine Script: Version 6
Type: Overlay Indicator
Max Boxes: 500
Max Lines: 500
Mars Signals - Ultimate Institutional Suite v3.0(Joker)Comprehensive Trading Manual
Mars Signals – Ultimate Institutional Suite v3.0 (Joker)
## Chapter 1 – Philosophy & System Architecture
This script is not a simple “buy/sell” indicator.
Mars Signals – UIS v3.0 (Joker) is designed as an institutional-style analytical assistant that layers several methodologies into a single, coherent framework.
The system is built on four core pillars:
1. Smart Money Concepts (SMC)
- Detection of Order Blocks (professional demand/supply zones).
- Detection of Fair Value Gaps (FVGs) (price imbalances).
2. Smart DCA Strategy
- Combination of RSI and Bollinger Bands
- Identifies statistically discounted zones for scaling into spot positions or exiting shorts.
3. Volume Profile (Visible Range Simulation)
- Distribution of volume by price, not by time.
- Identification of POC (Point of Control) and high-/low-volume areas.
4. Wyckoff Helper – Spring
- Detection of bear traps, liquidity grabs, and sharp bullish reversals.
All four pillars feed into a Confluence Engine (Scoring System).
The final output is presented in the Dashboard, with a clear, human-readable signal:
- STRONG LONG 🚀
- WEAK LONG ↗
- NEUTRAL / WAIT
- WEAK SHORT ↘
- STRONG SHORT 🩸
This allows the trader to see *how many* and *which* layers of the system support a bullish or bearish bias at any given time.
## Chapter 2 – Settings Overview
### 2.1 General & Dashboard Group
- Show Dashboard Panel (`show_dash`)
Turns the dashboard table in the corner of the chart ON/OFF.
- Show Signal Recommendation (`show_rec`)
- If enabled, the textual signal (STRONG LONG, WEAK SHORT, etc.) is displayed.
- If disabled, you only see feature status (ON/OFF) and the current price.
- Dashboard Position (`dash_pos`)
Determines where the dashboard appears on the chart:
- `Top Right`
- `Bottom Right`
- `Top Left`
### 2.2 Smart Money (SMC) Group
- Enable SMC Strategy (`show_smc`)
Globally enables or disables the Order Block and FVG logic.
- Order Block Pivot Lookback (`ob_period`)
Main parameter for detecting key pivot highs/lows (swing points).
- Default value: 5
- Concept:
A bar is considered a pivot low if its low is lower than the lows of the previous 5 and the next 5 bars.
Similarly, a pivot high has a high higher than the previous 5 and the next 5 bars.
These pivots are used as anchors for Order Blocks.
- Increasing `ob_period`:
- Fewer levels.
- But levels tend to be more significant and reliable.
- In highly volatile markets (major news, war events, FOMC, etc.),
using values 7–10 is recommended to filter out weak levels.
- Show Fair Value Gaps (`show_fvg`)
Enables/disables the drawing of FVG zones (imbalances).
- Bullish OB Color (`c_ob_bull`)
- Color of Bullish Order Blocks (Demand Zones).
- Default: semi-transparent green (transparency ≈ 80).
- Bearish OB Color (`c_ob_bear`)
- Color of Bearish Order Blocks (Supply Zones).
- Default: semi-transparent red.
- Bullish FVG Color (`c_fvg_bull`)
- Color of Bullish FVG (upward imbalance), typically yellow.
- Bearish FVG Color (`c_fvg_bear`)
- Color of Bearish FVG (downward imbalance), typically purple.
### 2.3 Smart DCA Strategy Group
- Enable DCA Zones (`show_dca`)
Enables the Smart DCA logic and visual labels.
- RSI Length (`rsi_len`)
Lookback period for RSI (default: 14).
- Shorter → more sensitive, more noise.
- Longer → fewer signals, higher reliability.
- Bollinger Bands Length (`bb_len`)
Moving average period for Bollinger Bands (default: 20).
- BB Multiplier (`bb_mult`)
Standard deviation multiplier for Bollinger Bands (default: 2.0).
- For extremely volatile markets, values like 2.5–3.0 can be used so that only extreme deviations trigger a DCA signal.
### 2.4 Volume Profile (Visible Range Sim) Group
- Show Volume Profile (`show_vp`)
Enables the simulated Volume Profile bars on the right side of the chart.
- Volume Lookback Bars (`vp_lookback`)
Number of bars used to compute the Volume Profile (default: 150).
- Higher values → broader historical context, heavier computation.
- Row Count (`vp_rows`)
Number of vertical price segments (rows) to divide the total price range into (default: 30).
- Width (%) (`vp_width`)
Relative width of each volume bar as a percentage.
In the code, bar widths are scaled relative to the row with the maximum volume.
> Technical note: Volume Profile calculations are executed only on the last bar (`barstate.islast`) to keep the script performant even on higher timeframes.
### 2.5 Wyckoff Helper Group
- Show Wyckoff Events (`show_wyc`)
Enables detection and plotting of Wyckoff Spring events.
- Volume MA Length (`vol_ma_len`)
Length of the moving average on volume.
A bar is considered to have Ultra Volume if its volume is more than 2× the volume MA.
## Chapter 3 – Smart Money Strategy (Order Blocks & FVG)
### 3.1 What Is an Order Block?
An Order Block (OB) represents the footprint of large institutional orders:
- Bullish Order Block (Demand Zone)
The last selling region (bearish candle/cluster) before a strong upward move.
- Bearish Order Block (Supply Zone)
The last buying region (bullish candle/cluster) before a strong downward move.
Institutions and large players place heavy orders in these regions. Typical price behavior:
- Price moves away from the zone.
- Later returns to the same zone to fill unfilled orders.
- Then continues the larger trend.
In the script:
- If `pl` (pivot low) forms → a Bullish OB is created.
- If `ph` (pivot high) forms → a Bearish OB is created.
The box is drawn:
- From `bar_index ` to `bar_index`.
- Between `low ` and `high `.
- `extend=extend.right` extends the OB into the future, so it acts as a dynamic support/resistance zone.
- Only the last 4 OB boxes are kept to avoid clutter.
### 3.2 Order Block Color Guide
- Semi-transparent Green (`c_ob_bull`)
- Represents a Bullish Order Block (Demand Zone).
- Interpretation: a price region with a high probability of bullish reaction.
- Semi-transparent Red (`c_ob_bear`)
- Represents a Bearish Order Block (Supply Zone).
- Interpretation: a price region with a high probability of bearish reaction.
Overlap (Multiple OBs in the Same Area)
When two or more Order Blocks overlap:
- The shared area appears visually denser/stronger.
- This suggests higher order density.
- Such zones can be treated as high-priority levels for entries, exits, and stop-loss placement.
### 3.3 Demand/Supply Logic in the Scoring Engine
is_in_demand = low <= ta.lowest(low, 20)
is_in_supply = high >= ta.highest(high, 20)
- If current price is near the lowest lows of the last 20 bars, it is considered in a Demand Zone → positive impact on score.
- If current price is near the highest highs of the last 20 bars, it is considered in a Supply Zone → negative impact on score.
This logic complements Order Blocks and helps the Dashboard distinguish whether:
- Market is currently in a statistically cheap (long-friendly) area, or
- In a statistically expensive (short-friendly) area.
### 3.4 Fair Value Gaps (FVG)
#### Concept
When the market moves aggressively:
- Some price levels are skipped and never traded.
- A gap between wicks/shadows of consecutive candles appears.
- These regions are called Fair Value Gaps (FVGs) or Imbalances.
The market generally “dislikes” imbalance and often:
- Returns to these zones in the future.
- Fills the gap (rebalance).
- Then resumes its dominant direction.
#### Implementation in the Code
Bullish FVG (Yellow)
fvg_bull_cond = show_smc and show_fvg and low > high and close > high
if fvg_bull_cond
box.new(bar_index , high , bar_index, low, ...)
Core condition:
`low > high ` → the current low is above the high of two bars ago; the space between them is an untraded gap.
Bearish FVG (Purple)
fvg_bear_cond = show_smc and show_fvg and high < low and close < low
if fvg_bear_cond
box.new(bar_index , low , bar_index, high, ...)
Core condition:
`high < low ` → the current high is below the low of two bars ago; again a price gap exists.
#### FVG Color Guide
- Transparent Yellow (`c_fvg_bull`) – Bullish FVG
Often acts like a magnet for price:
- Price tends to retrace into this zone,
- Fill the imbalance,
- And then continue higher.
- Transparent Purple (`c_fvg_bear`) – Bearish FVG
Price tends to:
- Retrace upward into the purple area,
- Fill the imbalance,
- And then resume downward movement.
#### Trading with FVGs
- FVGs are *not* standalone entry signals.
They are best used as:
- Targets (take-profit zones), or
- Reaction areas where you expect a pause or reversal.
Examples:
- If you are long, a bearish FVG above is often an excellent take-profit zone.
- If you are short, a bullish FVG below is often a good cover/exit zone.
### 3.5 Core SMC Trading Templates
#### Reversal Long
1. Price trades down into a green Order Block (Demand Zone).
2. A bullish confirmation candle (Close > Open) forms inside or just above the OB.
3. If this zone is close to or aligned with a bullish FVG (yellow), the signal is reinforced.
4. Entry:
- At the close of the confirmation candle, or
- Using a limit order near the upper boundary of the OB.
5. Stop-loss:
- Slightly below the OB.
- If the OB is broken decisively and price consolidates below it, the zone loses validity.
6. Targets:
- The next FVG,
- Or the next red Order Block (Supply Zone) above.
#### Reversal Short
The mirror scenario:
- Price rallies into a red Order Block (Supply).
- A bearish confirmation candle forms (Close < Open).
- FVG/premium structure above can act as a confluence.
- Stop-loss goes above the OB.
- Targets: lower FVGs or subsequent green OBs below.
## Chapter 4 – Smart DCA Strategy (RSI + Bollinger Bands)
### 4.1 Smart DCA Concept
- Classic DCA = buying at fixed time intervals regardless of price.
- Smart DCA = scaling in only when:
- Price is statistically cheaper than usual, and
- The market is in a clear oversold condition.
Code logic:
rsi_val = ta.rsi(close, rsi_len)
= ta.bb(close, bb_len, bb_mult)
dca_buy = show_dca and rsi_val < 30 and close < bb_lower
dca_sell = show_dca and rsi_val > 70 and close > bb_upper
Conditions:
- DCA Buy – Smart Scale-In Zone
- RSI < 30 → oversold.
- Close < lower Bollinger Band → price has broken below its typical volatility envelope.
- DCA Sell – Overbought/Distribution Zone
- RSI > 70 → overbought.
- Close > upper Bollinger Band → price is extended far above the mean.
### 4.2 Visual Representation on the Chart
- Green “DCA” Label Below Candle
- Shape: `labelup`.
- Color: lime background, white text.
- Meaning: statistically attractive level for laddered spot entries or short exits.
- Red “SELL” Label Above Candle
- Warning that the market is in an extended, overbought condition.
- Suitable for profit-taking on longs or considering short entries (with proper confluence and risk management).
- Light Green Background (`bgcolor`)
- When `dca_buy` is true, the candle background turns very light green (high transparency).
- This helps visually identify DCA Zones across the chart at a glance.
### 4.3 Practical Use in Trading
#### Spot Trading
Used to build a better average entry price:
- Every time a DCA label appears, allocate a fixed portion of capital (e.g., 2–5%).
- Combining DCA signals with:
- Green OBs (Demand Zones), and/or
- The Volume Profile POC
makes the zone structurally more important.
#### Futures Trading
- Longs
- Use DCA Buy signals as low-risk zones for opening or adding to longs when:
- Price is inside a green OB, or
- The Dashboard already leans LONG.
- Shorts
- Use DCA Sell signals as:
- Exit zones for longs, or
- Areas to initiate shorts with stops above structural highs.
## Chapter 5 – Volume Profile (Visible Range Simulation)
### 5.1 Concept
Traditional volume (histogram under the chart) shows volume over time.
Volume Profile shows volume by price level:
- At which prices has the highest trading activity occurred?
- Where did buyers and sellers agree the most (High Volume Nodes – HVNs)?
- Where did price move quickly due to low participation (Low Volume Nodes – LVNs)?
### 5.2 Implementation in the Script
Executed only when `show_vp` is enabled and on the last bar:
1. The last `vp_lookback` bars (default 150) are processed.
2. The minimum low and maximum high over this window define the price range.
3. This price range is divided into `vp_rows` segments (e.g., 30 rows).
4. For each row:
- All bars are scanned.
- If the mid-price `(high + low ) / 2` falls inside a row, that bar’s volume is added to the row total.
5. The row with the greatest volume is stored as `max_vol_idx` (the POC row).
6. For each row, a volume box is drawn on the right side of the chart.
### 5.3 Color Scheme
- Semi-transparent Orange
- The row with the maximum volume – the Point of Control (POC).
- Represents the strongest support/resistance level from a volume perspective.
- Semi-transparent Blue
- Other volume rows.
- The taller the bar → the higher the volume → the stronger the interest at that price band.
### 5.4 Trading Applications
- If price is above POC and retraces back into it:
→ POC often acts as support, suitable for long setups.
- If price is below POC and rallies into it:
→ POC often acts as resistance, suitable for short setups or profit-taking.
HVNs (Tall Blue Bars)
- Represent areas of equilibrium where the market has spent time and traded heavily.
- Price tends to consolidate here before choosing a direction.
LVNs (Short or Nearly Empty Bars)
- Represent low participation zones.
- Price often moves quickly through these areas – useful for targeting fast moves.
## Chapter 6 – Wyckoff Helper – Spring
### 6.1 Spring Concept
In the Wyckoff framework:
- A Spring is a false break of support.
- The market briefly trades below a well-defined support level, triggers stop losses,
then sharply reverses upward as institutional buyers absorb liquidity.
This movement:
- Clears out weak hands (retail sellers).
- Provides large players with liquidity to enter long positions.
- Often initiates a new uptrend.
### 6.2 Code Logic
Conditions for a Spring:
1. The current low is lower than the lowest low of the previous 50 bars
→ apparent break of a long-standing support.
2. The bar closes bullish (Close > Open)
→ the breakdown was rejected.
3. Volume is significantly elevated:
→ `volume > 2 × volume_MA` (Ultra Volume).
When all conditions are met and `show_wyc` is enabled:
- A pink diamond is plotted below the bar,
- With the label “Spring” – one of the strongest long signals in this system.
### 6.3 Trading Use
- After a valid Spring, markets frequently enter a meaningful bullish phase.
- The highest quality setups occur when:
- The Spring forms inside a green Order Block, and
- Near or on the Volume Profile POC.
Entries:
- At the close of the Spring bar, or
- On the first pullback into the mid-range of the Spring candle.
Stop-loss:
- Slightly below the Spring’s lowest point (wick low plus a small buffer).
## Chapter 7 – Confluence Engine & Dashboard
### 7.1 Scoring Logic
For each bar, the script:
1. Resets `score` to 0.
2. Adjusts the score based on different signals.
SMC Contribution
if show_smc
if is_in_demand
score += 1
if is_in_supply
score -= 1
- Being in Demand → `+1`
- Being in Supply → `-1`
DCA Contribution
if show_dca
if dca_buy
score += 2
if dca_sell
score -= 2
- DCA Buy → `+2` (strong, statistically driven long signal)
- DCA Sell → `-2`
Wyckoff Spring Contribution
if show_wyc
if wyc_spring
score += 2
- Spring → `+2` (entry of strong money)
### 7.2 Mapping Score to Dashboard Signal
- score ≥ 2 → STRONG LONG 🚀
Multiple bullish conditions aligned.
- score = 1 → WEAK LONG ↗
Some bullish bias, but only one layer clearly positive.
- score = 0 → NEUTRAL / WAIT
Rough balance between buying and selling forces; staying flat is usually preferable.
- score = -1 → WEAK SHORT ↘
Mild bearish bias, suited for cautious or short-term plays.
- score ≤ -2 → STRONG SHORT 🩸
Convergence of several bearish signals.
### 7.3 Dashboard Structure
The dashboard is a two-column table:
- Row 0
- Column 0: `"Mars Signals"` – black background, white text.
- Column 1: `"UIS v3.0"` – black background, yellow text.
- Row 1
- Column 0: `"Price:"` (light grey background).
- Column 1: current closing price (`close`) with a semi-transparent blue background.
- Row 2
- Column 0: `"SMC:"`
- Column 1:
- `"ON"` (green) if `show_smc = true`
- `"OFF"` (grey) otherwise.
- Row 3
- Column 0: `"DCA:"`
- Column 1:
- `"ON"` (green) if `show_dca = true`
- `"OFF"` (grey) otherwise.
- Row 4
- Column 0: `"Signal:"`
- Column 1: signal text (`status_txt`) with background color `status_col`
(green, red, teal, maroon, etc.)
- If `show_rec = false`, these cells are cleared.
## Chapter 8 – Visual Legend (Colors, Shapes & Actions)
For quick reading inside TradingView, the visual elements are described line by line instead of a table.
Chart Element: Green Box
Color / Shape: Transparent green rectangle
Core Meaning: Bullish Order Block (Demand Zone)
Suggested Trader Response: Look for longs, Smart DCA adds, closing or reducing shorts.
Chart Element: Red Box
Color / Shape: Transparent red rectangle
Core Meaning: Bearish Order Block (Supply Zone)
Suggested Trader Response: Look for shorts, or take profit on existing longs.
Chart Element: Yellow Area
Color / Shape: Transparent yellow zone
Core Meaning: Bullish FVG / upside imbalance
Suggested Trader Response: Short take-profit zone or expected rebalance area.
Chart Element: Purple Area
Color / Shape: Transparent purple zone
Core Meaning: Bearish FVG / downside imbalance
Suggested Trader Response: Long take-profit zone or temporary supply region.
Chart Element: Green "DCA" Label
Color / Shape: Green label with white text, plotted below the candle
Core Meaning: Smart ladder-in buy zone, DCA buy opportunity
Suggested Trader Response: Spot DCA entry, partial short exit.
Chart Element: Red "SELL" Label
Color / Shape: Red label with white text, plotted above the candle
Core Meaning: Overbought / distribution zone
Suggested Trader Response: Take profit on longs, consider initiating shorts.
Chart Element: Light Green Background (bgcolor)
Color / Shape: Very transparent light-green background behind bars
Core Meaning: Active DCA Buy zone
Suggested Trader Response: Treat as a discount zone on the chart.
Chart Element: Orange Bar on Right
Color / Shape: Transparent orange horizontal bar in the volume profile
Core Meaning: POC – price with highest traded volume
Suggested Trader Response: Strong support or resistance; key reference level.
Chart Element: Blue Bars on Right
Color / Shape: Transparent blue horizontal bars in the volume profile
Core Meaning: Other volume levels, showing high-volume and low-volume nodes
Suggested Trader Response: Use to identify balance zones (HVN) and fast-move corridors (LVN).
Chart Element: Pink "Spring" Diamond
Color / Shape: Pink diamond with white text below the candle
Core Meaning: Wyckoff Spring – liquidity grab and potential major bullish reversal
Suggested Trader Response: One of the strongest long signals in the suite; look for high-quality long setups with tight risk.
Chart Element: STRONG LONG in Dashboard
Color / Shape: Green background, white text in the Signal row
Core Meaning: Multiple bullish layers in confluence
Suggested Trader Response: Consider initiating or increasing longs with strict risk management.
Chart Element: STRONG SHORT in Dashboard
Color / Shape: Red background, white text in the Signal row
Core Meaning: Multiple bearish layers in confluence
Suggested Trader Response: Consider initiating or increasing shorts with a logical, well-placed stop.
## Chapter 9 – Timeframe-Based Trading Playbook
### 9.1 Timeframe Selection
- Scalping
- Timeframes: 1M, 5M, 15M
- Objective: fast intraday moves (minutes to a few hours).
- Recommendation: focus on SMC + Wyckoff.
Smart DCA on very low timeframes may introduce excessive noise.
- Day Trading
- Timeframes: 15M, 1H, 4H
- Provides a good balance between signal quality and frequency.
- Recommendation: use the full stack – SMC + DCA + Volume Profile + Wyckoff + Dashboard.
- Swing Trading & Position Investing
- Timeframes: Daily, Weekly
- Emphasis on Smart DCA + Volume Profile.
- SMC and Wyckoff are used mainly to fine-tune swing entries within larger trends.
### 9.2 Scenario A – Scalping Long
Example: 5-Minute Chart
1. Price is declining into a green OB (Bullish Demand).
2. A candle with a long lower wick and bullish close (Pin Bar / Rejection) forms inside the OB.
3. A Spring diamond appears below the same candle → very strong confluence.
4. The Dashboard shows at least WEAK LONG ↗, ideally STRONG LONG 🚀.
5. Entry:
- On the close of the confirmation candle, or
- On the first pullback into the mid-range of that candle.
6. Stop-loss:
- Slightly below the OB.
7. Targets:
- Nearby bearish FVG above, and/or
- The next red OB.
### 9.3 Scenario B – Day-Trading Short
Recommended Timeframes: 1H or 4H
1. The market completes a strong impulsive move upward.
2. Price enters a red Order Block (Supply).
3. In the same zone, a purple FVG appears or remains unfilled.
4. On a lower timeframe (e.g., 15M), RSI enters overbought territory and a DCA Sell signal appears.
5. The main timeframe Dashboard (1H) shows WEAK SHORT ↘ or STRONG SHORT 🩸.
Trade Plan
- Open a short near the upper boundary of the red OB.
- Place the stop above the OB or above the last swing high.
- Targets:
- A yellow FVG lower on the chart, and/or
- The next green OB (Demand) below.
### 9.4 Scenario C – Swing / Investment with Smart DCA
Timeframes: Daily / Weekly
1. On the daily or weekly chart, each time a green “DCA” label appears:
- Allocate a fixed fraction of your capital (e.g., 3–5%) to that asset.
2. Check whether this DCA zone aligns with the orange POC of the Volume Profile:
- If yes → the quality of the entry zone is significantly higher.
3. If the DCA signal sits inside a daily green OB, the probability of a medium-term bottom increases.
4. Always build the position laddered, never all-in at a single price.
Exits for investors:
- Near weekly red OBs or large purple FVG zones.
- Ideally via partial profit-taking rather than closing 100% at once.
### 9.5 Case Study 1 – BTCUSDT (15-Minute)
- Context: Price has sold off down towards 65,000 USD.
- A green OB had previously formed at that level.
- Near the lower boundary of this OB, a partially filled yellow FVG is present.
- As price returns to this region, a Spring appears.
- The Dashboard shifts from NEUTRAL / WAIT to WEAK LONG ↗.
Plan
- Enter a long near the OB low.
- Place stop below the Spring low.
- First target: a purple FVG around 66,200.
- Second (optional) target: the first red OB above that level.
### 9.6 Case Study 2 – Meme Coin (PEPE – 4H)
- After a strong pump, price enters a corrective phase.
- On the 4H chart, RSI drops below 30; price breaks below the lower Bollinger Band → a DCA label prints.
- The Volume Profile shows the POC at approximately the same level.
- The Dashboard displays STRONG LONG 🚀.
Plan
- Execute laddered buys in the combined DCA + POC zone.
- Place a protective stop below the last significant swing low.
- Target: an expected 20–30% upside move towards the next red OB or purple FVG.
## Chapter 10 – Risk Management, Psychology & Advanced Tuning
### 10.1 Risk Management
No signal, regardless of its strength, replaces risk control.
Recommendations:
- In futures, do not expose more than 1–3% of account equity to risk per trade.
- Adjust leverage to the volatility of the instrument (lower leverage for highly volatile altcoins).
- Place stop-losses in zones where the idea is clearly invalidated:
- Below/above the relevant Order Block or Spring, not randomly in the middle of the structure.
### 10.2 Market-Specific Parameter Tuning
- Calmer Markets (e.g., major FX pairs)
- `ob_period`: 3–5.
- `bb_mult`: 2.0 is usually sufficient.
- Highly Volatile Markets (Crypto, news-driven assets)
- `ob_period`: 7–10 to highlight only the most robust OBs.
- `bb_mult`: 2.5–3.0 so that only extreme deviations trigger DCA.
- `vol_ma_len`: increase (e.g., to ~30) so that Spring triggers only on truly exceptional
volume spikes.
### 10.3 Trading Psychology
- STRONG LONG 🚀 does not mean “risk-free”.
It means the probability of a successful long, given the model’s logic, is higher than average.
- Treat Mars Signals as a confirmation and context system, not a full replacement for your own decision-making.
- Example of disciplined thinking:
- The Dashboard prints STRONG LONG,
- But price is simultaneously testing a multi-month macro resistance or a major negative news event is imminent,
- In such cases, trade smaller, widen stops appropriately, or skip the trade.
## Chapter 11 – Technical Notes & FAQ
### 11.1 Does the Script Repaint?
- Order Blocks and Springs are based on completed pivot structures and confirmed candles.
- Until a pivot is confirmed, an OB does not exist; after confirmation, behavior is stable under classic SMC assumptions.
- The script is designed to be structurally consistent rather than repainting signals arbitrarily.
### 11.2 Computational Load of Volume Profile
- On the last bar, the script processes up to `vp_lookback` bars × `vp_rows` rows.
- On very low timeframes with heavy zooming, this can become demanding.
- If you experience performance issues:
- Reduce `vp_lookback` or `vp_rows`, or
- Temporarily disable Volume Profile (`show_vp = false`).
### 11.3 Multi-Timeframe Behavior
- This version of the script is not internally multi-timeframe.
All logic (OB, DCA, Spring, Volume Profile) is computed on the active timeframe only.
- Practical workflow:
- Analyze overall structure and key zones on higher timeframes (4H / Daily).
- Use lower timeframes (15M / 1H) with the same tool for timing entries and exits.
## Conclusion
Mars Signals – Ultimate Institutional Suite v3.0 (Joker) is a multi-layer trading framework that unifies:
- Price structure (Order Blocks & FVG),
- Statistical behavior (Smart DCA via RSI + Bollinger),
- Volume distribution by price (Volume Profile with POC, HVN, LVN),
- Liquidity events (Wyckoff Spring),
into a single, coherent system driven by a transparent Confluence Scoring Engine.
The final output is presented in clear, actionable language:
> STRONG LONG / WEAK LONG / NEUTRAL / WEAK SHORT / STRONG SHORT
The system is designed to support professional decision-making, not to replace it.
Used together with strict risk management and disciplined execution,
Mars Signals – UIS v3.0 (Joker) can serve as a central reference manual and operational guide
for your trading workflow, from scalping to swing and investment positioning.
كلاستر
Detailed Description – Fibonacci Cluster Zones + OB + FVG (AR34)
This script is an advanced multi-layer confluence system developed under the AR34 Trading Framework, designed to identify high-accuracy reversal zones, liquidity imbalances, institutional footprints, and trend direction using a unified analytic engine.
It combines Fibonacci mathematics, Smart Money Concepts, market structure, and smart trend signals to produce precise, reliable trading zones.
⸻
🔶 1 — Fibonacci Retracement Zones + Custom Smart Levels
The script calculates the highest and lowest prices over a selected lookback period to generate key Fibonacci retracement levels:
• 0.236
• 0.382
• 0.500
• 0.618
• 0.786
• 1.000
You can also add up to three custom Fibonacci levels (0.66, 0.707, 0.88 or any value you want).
✔ Each level is drawn as a horizontal line
✔ Optional label display for every level
✔ Color and activation fully customizable
These levels help identify pullback zones and potential turning points.
⸻
🔶 2 — True Fibonacci Cluster Detection
The script automatically identifies Cluster Zones, which occur when:
1. A Fibonacci level
2. An Order Block
3. A Fair Value Gap
all overlap in the same price range.
When all three conditions align, the script prints a CLUSTER marker in yellow.
These zones represent:
• High-probability reversal areas
• Strong institutional footprints
• Highly reactive price levels
⸻
🔶 3 — Automatic Order Block (OB) Detection
The indicator detects Order Blocks based on structural candle behavior:
• Bearish candle → followed by bullish
• Price interacts with a Fibonacci level
• Area aligns with institutional order flow
When detected, the OB is marked for easy visualization.
⸻
🔶 4 — Fair Value Gap (FVG) Mapping
The script scans for liquidity imbalances using the classic FVG logic:
• low > high
When an FVG exists, it draws a green liquidity box.
This highlights:
• Gaps left by institutional moves
• High-value return zones
• Efficient price retracement levels
⸻
🔶 5 — Fibonacci Extension Projections
The script calculates extension targets using:
• 1.272
• 1.618
• 2.000
These are drawn as dashed teal lines and help forecast:
• Breakout continuation targets
• Wave extension objectives
• Take-profit areas
⸻
🔶 6 — Smart Trend Signal (EMA-200 Engine)
Trend direction is determined using the EMA 200:
• Price above EMA → uptrend
• Price below EMA → downtrend
A green or red signal icon appears only when the trend flips, reducing noise and improving clarity.
This helps detect:
• Trend shifts early
• Cleaner entries and exits
• Trend-based filtering
⸻
🔶 7 — Four-EMA Multi-Trend System
The indicator includes optional visualization of four moving averages:
• EMA 20 → Short-term
• EMA 50 → Medium-term
• EMA 100 → Long-term
• EMA 200 → Major trend
All are fully customizable (length + color + visibility).
⸻
🔶 8 — Dynamic Negative Fibonacci Levels (Green Only)
When enabled, the script calculates deep retracement zones using:
• –0.23
• –0.75
• –1.20
These negative Fibonacci levels are drawn in green and help identify:
• Deep liquidity capture points
• Hidden structural supports
• Potential reversal bottoms
⸻
🔶 9 — Complete User Control
Users maintain full control over:
✔ Enabling/disabling OB detection
✔ Enabling/disabling FVG detection
✔ Activating custom Fibonacci levels
✔ Showing or hiding labels
✔ Selecting timeframe for Fib calculations
✔ Adjusting moving average parameters
✔ Activating dynamic Fibonacci
The script is designed to be flexible, scalable, and suitable for any trading style.
⸻
🎯 Summary
This indicator is a powerful all-in-one analytical system that merges:
✔ Fibonacci Mathematics
✔ Smart Money Concepts (OB + FVG)
✔ Trend-based filtering
✔ Institutional cluster detection
✔ Dynamic extensions + retracements
✔ Multi-EMA trend mapping
شرح السكربت بالتفصيل – Fibonacci Cluster Zones + OB + FVG (AR34)
هذا السكربت هو نظام تحليل احترافي متكامل من تطوير AR34 Framework يجمع بين أقوى أدوات التداول الحديثة في مؤشر واحد، ويهدف إلى كشف مناطق الانعكاس القوية، والتجميع الذكي، والاتجاه العام، باستخدام مزيج علمي من فيبوناتشي + السيولة + الاتجاه.
يعمل هذا المؤشر بأسلوب Confluence Trading بحيث يدمج عدة مدارس مختلفة في طبقة واحدة لتحديد مناطق الانعكاس والارتداد والاختراق بدقة عالية.
⸻
🔶 1 — مناطق فيبوناتشي (Retracement) + الكلاستر الذكي
يقوم المؤشر بحساب أعلى وأدنى سعر خلال عدد محدد من الشموع (Retracement Length) ثم يرسم مستويات فيبوناتشي الكلاسيكية:
• 0.236
• 0.382
• 0.500
• 0.618
• 0.786
• 1.000
مع إمكانية إضافة 3 مستويات خاصة من اختيارك (0.66 – 0.707 – 0.88 وغيرها).
✔️ كل مستوى يتم رسمه بخط مستقل
✔️ يظهر بجانبه رقم المستوى إذا تم تفعيل خيار Show Fib Labels
✔️ يمكن تغيير لونه، قيمته، وتفعيله حسب رغبتك
⸻
🔶 2 — كاشف الكلاستر الحقيقي (Cluster Detection)
الكلاستر يُعتبر أقوى مناطق الارتداد في التحليل الفني.
السكربت يحدد الكلاستر عندما تتداخل 3 عناصر مع مستوى فيبوناتشي:
1. مستوى فيبوناتشي مهم
2. Order Block
3. Fair Value Gap
إذا اجتمعت الثلاثة في نفس المنطقة، يتم رسمها باللون الأصفر وتظهر كلمة CLUSTER.
هذا يعطيك:
• أقوى منطقة انعكاس
• أعلى دقة في تحديد نقاط الدخول
• مناطق ذات سيولة مرتفعة
⸻
🔶 3 — دمج Order Blocks تلقائياً
يكتشف المؤشر الـ OB الحقيقي باستخدام شروط حركة الشموع:
• bearish candle → bullish candle
• السعر لمس مستوى فيبوناتشي
• منطقة محتملة لتجميع المؤسسات
إذا تحققت الشروط يظهر OB باللون الأحمر.
⸻
🔶 4 — دمج Fair Value Gaps (FVG)
يكتشف الفجوات السعرية بين الشمعتين الأولى والثالثة:
• low > high
ويقوم برسم بوكس أخضر حول الفجوة (FVG Zone).
يساعدك على معرفة:
• مناطق اختلال السيولة
• أهداف السعر القادمة
• مناطق “العودة” المحتملة
⸻
🔶 5 — امتدادات فيبوناتشي (Fibonacci Extensions)
يقوم بحساب الامتدادات من مستويات:
• 1.272
• 1.618
• 2.0
ويظهرها بخطوط متقطعة (Teal Color).
هذه المستويات مهمة لتوقع:
• أهداف اختراق
• مناطق TP
• امتداد موجات السعر
⸻
🔶 6 — إشارة الاتجاه الذكية (Smart Trend Engine – EMA200)
يعتمد على EMA 200 لتحديد الاتجاه العام:
• إذا السعر فوق EMA200 → اتجاه صاعد
• إذا السعر تحت EMA200 → اتجاه هابط
ويظهر المؤشر:
🟢 سهم أخضر عند تحول الاتجاه لصعود
🔴 سهم أحمر عند تحول الاتجاه لهبوط
ميزة التحول فقط عند تغيير الاتجاه (No Noise).
⸻
🔶 7 — أربع موفنقات احترافية (EMA 20 – 50 – 100 – 200)
المؤشر يعرض الموفنقات الأربعة الأساسية:
• EMA 20 → اتجاه قصير
• EMA 50 → متوسط
• EMA 100 → طويل
• EMA 200 → الاتجاه الرئيسي
مع إمكانية:
• تغيير اللون
• تغيير الطول
• إخفائها وإظهارها
⸻
🔶 8 — فيبوناتشي الديناميكي (Dynamic Green Fib)
ميزة قوية جداً تظهر فقط عند تفعيلها.
تحسب أعلى وأدنى سعر في Lookback Period ثم ترسم مستويات سلبية:
• –0.23
• –0.75
• –1.20
هذه المستويات تظهر كخطوط خضراء تحت السعر وتستخدم لـ:
• تحديد مناطق الانعكاس المخفية
• رصد الدعم الديناميكي
• اكتشاف القيعان المحتملة
⸻
🔶 9 — المرونة الكاملة للمستخدم
المؤشر يسمح لك التحكم بكل شيء:
✔️ تفعيل/إلغاء الـ OB
✔️ تفعيل/إلغاء الـ FVG
✔️ تفعيل/إلغاء مستويات فيبوناتشي
✔️ إضافة مستويات مخصصة
✔️ اختيار الفريم المستخدم
✔️ تغيير الألوان
✔️ التحكم في الاتجاه والموفنقات
⸻
🎯 الخلاصة
هذا السكربت يعمل كنظام تحليلي متكامل يجمع:
✔️ فيبوناتشي
✔️ السيولة المؤسسية (OB + FVG)
✔️ الاتجاه الذكي
✔️ الكلاستر الاحترافي
✔️ الموفنقات
✔️ فيبوناتشي الديناميكي
Holographic Market Microstructure | AlphaNattHolographic Market Microstructure | AlphaNatt
A multidimensional, holographically-rendered framework designed to expose the invisible forces shaping every candle — liquidity voids, smart money footprints, order flow imbalances, and structural evolution — in real time.
---
📘 Overview
The Holographic Market Microstructure (HMS) is not a traditional indicator. It’s a visual architecture built to interpret the true anatomy of the market — a living data structure that fuses price, volume, and liquidity into one coherent holographic layer.
Instead of reacting to candles, HMS visualizes the market’s underlying micro-dynamics : where liquidity hides, where volume flows, and how structure morphs as smart money accumulates or distributes.
Designed for system-based traders, volume analysts, and liquidity theorists who demand to see the unseen — the invisible grid driving every price movement.
---
🔬 Core Analytical Modules
Microstructure Analysis
Deconstructs each bar’s internal composition to identify imbalance between aggressive buying and selling. Using a configurable Imbalance Ratio and Liquidity Threshold , the algorithm marks low-liquidity zones and price inefficiencies as “liquidity voids.”
• Detects hidden supply/demand gaps.
• Quantifies micro-level absorption and exhaustion.
• Reveals flow compression and expansion phases.
Smart Money Tracking
Applies advanced volume-rate-of-change and price momentum relationships to map institutional activity.
• Accumulation Zones – Where price rises on expanding volume.
• Distribution Zones – Where price declines on rising volume.
• Automatically visualized as glowing boxes, layered through time to simulate footprint persistence.
Fractal Structure Mapping
Reveals the recursive nature of price formation. HMS detects fractal highs/lows, then connects them into an evolving structure.
• Defines nested market structure across multiple scales.
• Maps trend progression and transition points.
• Renders with adaptive glow lines to reflect depth and strength.
Volume Heat Map
Transforms historical volume data into a 3D holographic heat projection.
• Each band represents a volume-weighted price level.
• Gradient brightness = relative participation intensity.
• Helps identify volume nodes, voids, and liquidity corridors.
HUD Display System
Real-time analytical dashboard summarizing the system’s internal metrics directly on the chart.
• Flow, Structure, Smart$, Liquidity, and Divergence — all live.
• Designed for both scalpers and swing traders to assess micro-context instantly.
---
🧠 Smart Money Intelligence Layer
The Smart Money Index dynamically evaluates the harmony (or conflict) between price momentum and volume acceleration. When institutions accumulate or distribute discreetly, volume surges ahead of price. HMS detects this divergence and overlays it as glowing smart money zones.
◈ ACCUM → Institutional absorption, early uptrend formation.
◈ DISTRIB → Distribution and top-heavy conditions.
○ IDLE → Neutral flow equilibrium.
Divergences between price and volume are signaled using holographic alerts ( ⚠ ALERT ) to highlight exhaustion or trap conditions — often precursors to structural reversals.
---
🌀 Fractal Market Structure Engine
The fractal subsystem recursively identifies local pivot symmetry, connecting micro-structural highs and lows into a holographic skeleton.
• Bullish Structure — Higher highs & higher lows align (▲ BULLISH).
• Bearish Structure — Lower highs & lower lows dominate (▼ BEARISH).
• Ranging — Fractal symmetry balance (◆ RANGING).
Each transition is visually represented through adaptive glow intensity, producing a living contour of market evolution .
---
🔥 Volume Heat Map Projection
The heatmap acts as a volumetric X-ray of the recent 100–300 bars. Each horizontal segment reflects liquidity density, rendered with gradient opacity from cold (inactive) to hot (highly active).
• Detects hidden accumulation shelves and distribution ridges.
• Identifies imbalanced liquidity corridors (voids).
• Reveals the invisible scaffolding of the order book.
When combined with smart money zones and structure lines, it creates a multi-layered holographic perspective — allowing traders to see liquidity clusters and their interaction with evolving structure in real time.
---
💎 Holographic Visual Engine
Every element of HMS is dynamically color-mapped to its visual theme . Each theme carries a distinct personality:
Aeon — Neon blue plasma aesthetic; futuristic and fluid.
Cyber — High-contrast digital energy; circuit-like clarity.
Quantum — Deep space gradients; reflective of non-linear flow.
Neural — Organic transitions; biological intelligence simulation.
Plasma — Vapor-bright gradients; high-energy reactive feedback.
Crystal — Minimalist, transparent geometry; pristine data visibility.
Optional Glow Effects and Pulse Animations create a living hologram that responds to real-time market conditions.
---
🧭 HUD Analytics Table
A live data matrix placed anywhere on-screen (top, middle, or side). It summarizes five critical systems:
Flow: Order flow bias — ▲ BUYING / ▼ SELLING / ◆ NEUTRAL.
Struct: Microstructure direction — ▲ BULLISH / ▼ BEARISH / ◆ RANGING.
Smart$: Institutional behavior — ◈ ACCUM / ◈ DISTRIB / ○ IDLE.
Liquid: Market efficiency — ⚡ VOID / ● NORMAL.
Diverg: Price/Volume correlation — ⚠ ALERT / ✓ CLEAR.
Each metric’s color dynamically adjusts according to live readings, effectively serving as a neural HUD layer for rapid interpretation.
---
🚨 Alert Conditions
Stay informed in real time with built-in alerts that trigger under specific structural or liquidity conditions.
Liquidity Void Detected — Market inefficiency or thin volume region identified.
Strong Order Flow Detected — Aggressive buying or selling momentum shift.
Smart Money Activity — Institutional accumulation or distribution underway.
Price/Volume Divergence — Volume fails to confirm price trend.
Market Structure Shift — Fractal structure flips directional bias.
---
⚙️ Customization Parameters
Adjustable Microstructure Depth (20–200 bars).
Configurable Imbalance Ratio and Liquidity Threshold .
Adaptive Smart Money Sensitivity via Accumulation Threshold (%).
Multiple Fractal Depth Layers for precise structural analysis.
Scalable Heatmap Resolution (5–20 levels) and opacity control.
Selectable HUD Position to suit personal layout preferences.
Each parameter adjusts the balance between visual clarity and data density , ensuring optimal performance across intraday and macro timeframes alike.
---
🧩 Trading Application
Identify early signs of institutional activity before breakouts.
Track structure transitions with fractal precision.
Locate hidden liquidity voids and high-value areas.
Confirm strength of trends using order-flow bias.
Detect volume-based divergences that often precede reversals.
HMS is designed not just for observation — but for contextual understanding . Its purpose is to help traders anchor strategies in liquidity and flow dynamics rather than surface-level price action.
---
🪞 Philosophy
Markets are holographic. Each candle contains a reflection of every other candle — a fractal within a fractal, a structure within a structure. The HMS is built to reveal that reflection, allowing traders to see through the market’s multidimensional fabric.
---
Developed by: AlphaNatt
Version: v6
Category: Market Microstructure | Volume Intelligence
Framework: PineScript v6 | Holographic Visualization System
Not financial advice
SMC by ASHY-JAYASHY-JAY "Smart Money" refers to funds under the control of institutional investors, central banks, funds, market makers, and other financial entities. Ordinary people recognize investments made by those who have a deep understanding of market performance and possess information typically inaccessible to regular investors as "Smart Money".
Consequently, when market movements often diverge from expectations, traders identify the footprints of smart money. For example, when a classic pattern forms in the market, traders take short positions. However, the market might move upward instead. They attribute this contradiction to smart money and seek to capitalize on such inconsistencies in their trades.
The "Smart Money Concept" (SMC) is one of the primary styles of technical analysis that falls under the subset of "Price Action". Price action encompasses various subcategories, with one of the most significant being "Supply and Demand", in which SMC is categorized.
The SMC method aims to identify trading opportunities by emphasizing the impact of large traders (Smart Money) on the market, offering specific patterns, techniques, and trading strategies.
🟣Key Terms of Smart Money Concept (SMC)
• Market Structure (Trend)
• Change of Character (ChoCh)
• Break of Structure (BoS)
• Order Blocks (Supply and Demand)
• Imbalance (IMB)
• Inefficiency (IFC)
• Fair Value Gap (FVG)
• Liquidity
• Premium and Discount
EMA Trend Buy sell strategyThis strategy is built to help investors get into a trend safely and smartly — without rushing and without getting in and out too often.
When to Buy:
First Signal – Small Step In (50% Buy)
When the short-term trend (EMA 18) turns positive and goes above the medium trend (EMA 33),
👉 we buy half of our planned position.
This is an early warning that a new upward trend might be starting.
Second Signal – Full Confidence (Buy other 50%)
If the medium-term trend (EMA 33) also crosses above the long-term (EMA 50),
👉 we buy the other half of the position.
Now we’re more confident that the trend is real.
When to Sell:
First Warning – Reduce Position (Sell 50%)
If EMA 33 falls below EMA 50,
👉 we sell half of the position to reduce risk.
Trend Reversal – Exit Completely (Sell the rest)
If EMA 18 also falls below EMA 33,
👉 we sell the remaining half and leave the trade fully.
Why This Strategy?
📉 We don’t jump in all at once.
→ We wait for confirmation before going full in.
⏳ We stay in the trade as long as the trend is healthy.
→ No overtrading or reacting to small moves.
📊 We get out slowly, not suddenly.
→ This helps protect profits and avoid emotional decisions.
MACD Forecast [Titans_Invest]MACD Forecast — The Future of MACD in Trading
The MACD has always been one of the most powerful tools in technical analysis.
But what if you could see where it’s going, instead of just reacting to what has already happened?
Introducing MACD Forecast — the natural evolution of the MACD Full , now taken to the next level. It’s the world’s first MACD designed not only to analyze the present but also to predict the future behavior of momentum.
By combining the classic MACD structure with projections powered by Linear Regression, this indicator gives traders an anticipatory, predictive view, redefining what’s possible in technical analysis.
Forget lagging indicators.
This is the smartest, most advanced, and most accurate MACD ever created.
🍟 WHY MACD FORECAST IS REVOLUTIONARY
Unlike the traditional MACD, which only reflects current and past price dynamics, the MACD Forecast uses regression-based projection models to anticipate where the MACD line, signal line, and histogram are heading.
This means traders can:
• See MACD crossovers before they happen.
• Spot trend reversals earlier than most.
• Gain an unprecedented timing advantage in both discretionary and automated trading.
In other words: this indicator lets you trade ahead of time.
🔮 FORECAST ENGINE — POWERED BY LINEAR REGRESSION
At its core, the MACD Forecast integrates Linear Regression (ta.linreg) to project the MACD’s future behavior with exceptional accuracy.
Projection Modes:
• Flat Projection: Assumes trend continuity at the current level.
• LinReg Projection: Applies linear regression across N periods to mathematically forecast momentum shifts.
This dual system offers both a conservative and adaptive view of market direction.
📐 ACCURACY WITH FULL CUSTOMIZATION
Just like the MACD Full, this new version comes with 20 customizable buy-entry conditions and 20 sell-entry conditions — now enhanced with forecast-based rules that anticipate crossovers and trend reversals.
You’re not just reacting — you’re strategizing ahead of time.
⯁ HOW TO USE MACD FORECAST❓
The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities.
Step 1 — Spot Predicted Crossovers:
Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move.
Step 2 — Confirm with Histogram Projection:
Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions.
Step 3 — Combine with Multi-Timeframe Analysis:
Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast).
Step 4 — Set Entry Conditions & Automation:
Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts.
Step 5 — Trade Ahead of the Market:
By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders.
🤖 BUILT FOR AUTOMATION AND BOTS 🤖
Whether for manual trading, quantitative strategies, or advanced algorithms, the MACD Forecast was designed to integrate seamlessly with automated systems.
With predictive logic at its core, your strategies can finally react to what’s coming, not just what already happened.
🥇 WHY THIS INDICATOR IS UNIQUE 🥇
• World’s first MACD with Linear Regression Forecasting
• Predictive Crossovers (before they appear on the chart)
• Maximum flexibility with Long & Short combinations — 20+ fully configurable conditions for tailor-made strategies
• Fully automatable for quantitative systems and advanced bots
This isn’t just an update.
It’s the final evolution of the MACD.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 MACD > Signal Smoothing
🔹 MACD < Signal Smoothing
🔹 Histogram > 0
🔹 Histogram < 0
🔹 Histogram Positive
🔹 Histogram Negative
🔹 MACD > 0
🔹 MACD < 0
🔹 Signal > 0
🔹 Signal < 0
🔹 MACD > Histogram
🔹 MACD < Histogram
🔹 Signal > Histogram
🔹 Signal < Histogram
🔹 MACD (Crossover) Signal
🔹 MACD (Crossunder) Signal
🔹 MACD (Crossover) 0
🔹 MACD (Crossunder) 0
🔹 Signal (Crossover) 0
🔹 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 MACD > Signal Smoothing
🔸 MACD < Signal Smoothing
🔸 Histogram > 0
🔸 Histogram < 0
🔸 Histogram Positive
🔸 Histogram Negative
🔸 MACD > 0
🔸 MACD < 0
🔸 Signal > 0
🔸 Signal < 0
🔸 MACD > Histogram
🔸 MACD < Histogram
🔸 Signal > Histogram
🔸 Signal < Histogram
🔸 MACD (Crossover) Signal
🔸 MACD (Crossunder) Signal
🔸 MACD (Crossover) 0
🔸 MACD (Crossunder) 0
🔸 Signal (Crossover) 0
🔸 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
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🔮 Linear Regression Function 🔮
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• Our indicator includes MACD forecasts powered by linear regression.
Forecast Types:
• Flat: Assumes prices will stay the same.
• Linreg: Makes a 'Linear Regression' forecast for n periods.
Technical Information:
• Function: ta.linreg()
Parameters:
• source: Source price series.
• length: Number of bars (period).
• offset : Offset.
• return: Linear regression curve.
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⯁ UNIQUE FEATURES
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Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : MACD Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
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o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
🎗️ In memory of João Guilherme — your light will live on forever.
Cyclic Reversal Engine [AlgoPoint]Overview
Most indicators focus on price and momentum, but they often ignore a critical third dimension: time. Markets move in rhythmic cycles of expansion and contraction, but these cycles are not fixed; they speed up in trending markets and slow down in choppy conditions.
The Cyclic Reversal Engine is an advanced analytical tool designed to decode this rhythm. Instead of relying on static, lagging formulas, this indicator learns from past market behavior to anticipate when the current trend is statistically likely to reach its exhaustion point, providing high-probability reversal signals.
It achieves this by combining a sophisticated time analysis with a robust price-action confirmation.
How It Works: The Core Logic
The indicator operates on a multi-stage process to identify potential turning points in the market.
1. Market Regime Analysis (The Brain): Before analyzing any cycles, the indicator first diagnoses the current "personality" of the market. Using a combination of the ADX, Choppiness Index, and RSI, it classifies the market into one of three primary regimes:
- Trending: Strong, directional movement.
- Ranging: Sideways, non-directional chop.
- Reversal: An over-extended state (overbought/oversold) where a turn is imminent.
2. Adaptive Cycle Learning (The "Machine Learning" Aspect): This is the indicator's smartest feature. It constantly analyzes past cycles by measuring the bar-count between significant swing highs and swing lows. Crucially, it learns the average cycle duration for each specific market regime. For example, it learns that "in a strong trending market, a new swing low tends to occur every 35 bars," while "in a ranging market, this extends to 60 bars."
3. The Countdown & Timing Signal: The indicator identifies the last major swing high or low and starts a bar-by-bar countdown. Based on the current market regime, it selects the appropriate learned cycle length from its memory. When the bar count approaches this adaptive target, the indicator determines that a reversal is "due" from a timing perspective.
4. Price Confirmation (The Trigger): A signal is never generated based on timing alone. Once the timing condition is met (the cycle is "due"), the indicator waits for a final price-action confirmation. The default confirmation is the RSI entering an extreme overbought or oversold zone, signaling momentum exhaustion. The signal is only triggered when Time + Price Confirmation align.
How to Use This Indicator
- The Dashboard: The panel in the bottom-right corner is your command center.
- Market Regime: Shows the current market personality analyzed by the engine.
- Adaptive Cycle / Bar Count: This is the core of the indicator. It shows the target cycle length for the current regime (e.g., 50) and the current bar count since the last swing point (e.g., 45). The background turns orange when the bar count enters the "due zone," indicating that you should be on high alert for a reversal.
- BUY/SELL Signals: A label appears on the chart only when the two primary conditions are met:
The timing is right (Bar Count has reached the Adaptive Cycle target).
The price confirms exhaustion (RSI is in an extreme zone).
A BUY signal suggests a downtrend cycle is likely complete, and a SELL signal suggests an uptrend cycle is likely complete.
Key Settings
- Pivot Lookback: Controls the sensitivity of the swing point detection. Higher values will identify more significant, longer-term cycles.
- Market Regime Engine: The ADX, Choppiness, and RSI settings can be fine-tuned to adjust how the indicator classifies the market's personality.
- Require Price Confirmation: You can toggle the RSI confirmation on or off. It is highly recommended to keep it enabled for higher-quality signals.
Supp_Ress_V1This indicator automatically plots support and resistance levels using confirmed pivot highs and lows, then manages them smartly by merging nearby levels, extending them, and removing them once price breaks through.
It also draws trendlines by connecting valid higher-lows (uptrend) or lower-highs (downtrend), ensuring they slope correctly and have enough spacing between pivots.
In short: it gives you a clean, trader-like map of the most relevant S/R zones and trendlines, updating dynamically as price action unfolds.
