DR.SS.SMART BUY/SMARTSELL SCALPER1️⃣ BEST TIMEFRAME
Use this as a scalper / intraday trend tool
✅ Best
5 min
15 min
⚠️ Avoid
1 min (too noisy)
Daily (signals become late)
2️⃣ FIRST CHECK – MARKET CONDITION (Dashboard)
Before taking any trade, look at the Smart Panel (Dashboard):
✔ Trade ONLY when:
Market State = Trending
Volatility = Active
Trend Pressure = Bullish or Bearish
At least 3–4 MTF boxes are same color
❌ Avoid trades when:
Market State = No trend / Ranging
Purple candles (ADX sideways)
Remember:
T-V-T rule → Trend + Volatility + Timeframe agree
3️⃣ BUY SETUP (LONG TRADE)
✅ Conditions in your code:
Price crosses ABOVE Supertrend
Close ≥ SMA 13
Bar color turns BLUE
Price above EMA 200 → Smart Buy
ADX not sideways (no purple bars)
📍 Chart shows label:
“Buy” → normal buy
“Smart Buy” → high-probability trade (BEST)
🔵 HOW TO ENTER BUY
Enter at candle CLOSE where Buy / Smart Buy appears
Do NOT enter mid-candle
🛑 STOP LOSS (Auto from code)
SL = ATR-based stop
Shown as red SL line
👉 Safe rule:
Never widen SL
🎯 TARGETS (Auto plotted)
TP1 = 1:1
TP2 = 2:1
TP3 = 3:1
📌 Recommended management:
Book 50% at TP1
Move SL to Entry
Hold rest till TP2 / Trail
4️⃣ SELL SETUP (SHORT TRADE)
✅ Conditions:
Price crosses BELOW Supertrend
Close ≤ SMA 13
Bar color turns RED
Price below EMA 200 → Smart Sell
No sideways (ADX > 15)
📍 Label shown:
“Sell”
“Smart Sell” (BEST)
🔴 HOW TO ENTER SELL
Enter at close of signal candle
Follow same SL & TP rules
5️⃣ SUPPLY & DEMAND CONFIRMATION (POWER FILTER)
🔹 Best Buy:
Price near Demand Zone
Then Smart Buy appears
🔹 Best Sell:
Price near Supply Zone
Then Smart Sell appears
👉 These are institutional entries
6️⃣ WHEN NOT TO TRADE ❌
Avoid trades when:
Purple candles (Sideways)
Supertrend flipping repeatedly
MTF dashboard mixed colors
During low-volume sessions
7️⃣ SESSION WISE BEST PERFORMANCE
From your session logic:
✅ Best Scalping:
London
London + New York overlap
⚠️ Avoid:
Mid-Tokyo (low volatility)
8️⃣ PERFECT TRADE CHECKLIST (SAVE THIS)
Before clicking BUY/SELL, ask:
✔ Smart Buy / Smart Sell?
✔ Price above/below EMA 200?
✔ Dashboard trend agrees?
✔ No sideways candles?
✔ Volatility Active?
👉 If 4 out of 5 = YES → TAKE TRADE
9️⃣ SIMPLE ONE-LINE STRATEGY
Trade only Smart Buy/Sell in trending market, book partial at 1:1, trail rest with Smart Trail
✅ BEST TRADING SESSIONS (Use ONLY these)
🥇 LONDON SESSION (BEST & SAFE)
🕒 12:30 PM – 4:30 PM IST
Why best for your script
Clean trends
Good volatility
Less fake signals
Supertrend + EMA200 works perfectly
👉 This should be your PRIMARY session
🥈 LONDON → NEW YORK OVERLAP (MOST POWERFUL)
🕒 6:00 PM – 8:30 PM IST
Why
Institutional money enters
Strong breakouts
Smart Buy / Smart Sell accuracy highest
👉 Use only Smart signals in this session
🥉 NEW YORK SESSION (Early Part Only)
🕒 6:00 PM – 9:00 PM IST
Use when
Market State = Trending
Volatility = Active
MTF mostly same color
⚠️ Stop after 9:00 PM IST
❌ SESSIONS TO AVOID
🚫 TOKYO SESSION
🕒 5:30 AM – 10:30 AM IST
Low volatility
Sideways (purple candles)
Many fake reversals
🚫 SYDNEY SESSION
🕒 2:30 AM – 5:30 AM IST
Very low volume
Not suitable for scalping
🚫 INDIAN MIDDAY
🕒 11:00 AM – 12:15 PM IST
Choppy
Stop-hunting candles
📌 BEST DAILY ROUTINE (Follow This)
Time (IST) Action
9:15 – 10:30 ❌ Avoid (fake moves)
12:30 – 4:30 ✅ TRADE (Best zone)
6:00 – 8:30 ✅ TRADE (High accuracy)
After 9:00 ❌ Avoid
🧠 EASY MEMORY RULE (Your Style)
“LON → NY = MONEY” 💰
“ASIA = NO TRADE” ❌
🎯 FINAL RECOMMENDATION
If you want only ONE session:
👉 Trade ONLY: 12:30 PM – 4:30 PM IST
This will give:
Less stress
Higher win-rate
Cleaner Smart Buy/Sell signals
🇮🇳 BEST TRADING SESSIONS (INDIA – IST)
🥇 LONDON SESSION – BEST FOR INDIAN TRADERS
🕒 12:30 PM – 4:30 PM IST
✅ THIS IS THE BEST SESSION
Strong trend moves
High accuracy Smart Buy / Smart Sell
Less sideways (purple candles reduce)
Works perfectly with Supertrend + EMA 200
👉 Use this as your MAIN session
🥈 LONDON → NEW YORK OVERLAP (POWER SESSION)
🕒 6:00 PM – 8:30 PM IST
✅ Very strong moves
Institutional activity
Best breakouts
High RR trades (2:1 / 3:1)
⚠️ Trade only Smart Buy / Smart Sell
⚠️ Avoid over-trading
🥉 INDIAN MARKET OPEN (LIMITED USE)
🕒 9:20 AM – 10:15 AM IST
✔ Use only if:
Dashboard = Trending
Volatility = Active
Direction same as higher TF
❌ Avoid after 10:30 AM
❌ SESSIONS TO AVOID (INDIA)
Session Time (IST) Reason
Tokyo 5:30 – 10:30 AM Sideways / fake moves
Mid-day Chop 11:00 – 12:15 PM Low volume
Late NY After 9:00 PM Whipsaws
📌 BEST DAILY ROUTINE (INDIA)
Time What to Do
9:15 – 9:20 ❌ No trade
9:20 – 10:15 ⚠️ Only clean Smart signals
12:30 – 4:30 ✅ MAIN TRADING WINDOW
6:00 – 8:30 ✅ HIGH PROBABILITY
After 9:00 ❌ Stop trading
🧠 EASY MEMORY RULE
“INDIA → LONDON → MONEY” 💰
“ASIA MIDDAY → NO TRADE” ❌
🎯 FINAL ANSWER (ONE-LINE)
👉 For India (IST), trade ONLY between
12:30 PM – 4:30 PM and 6:00 PM – 8:30 PM
Pengayun
Velocity SwingtraderThe intended objective of this indicator to gauge trend and momentum and find trades that are at the beginning of a trend change for longer periods of time (days, weeks, months).
Range Strategy (kasatura84)Winning Range Strategy (Set Heikin Ashi Candles)
Incredible winning strategy. You have to set Heikin Ashi Candles to activate strategy! It works both long and short trades.
Elmas Formasyonu 2.0Diamond Formation 2.0 is a multi-layered market intelligence engine, designed beyond classical technical indicators.
It does not rely on a single oscillator or a standard formula; instead, it merges multiple market dynamics into a proprietary structure called the Diamond Intelligence Engine.
Proxy Index [MTF]Description This indicator is a specialized implementation of the Proxy Index, a market timing tool originally conceptualized by Larry Williams. It is designed to identify potential market reversals by analyzing the relationship between price momentum and real volatility.
Unlike standard oscillators that look at absolute price levels, the Proxy Index measures the duration and intensity of price movement relative to the asset's specific volatility.
Underlying Concepts & Methodology The script operates by normalizing price action against volatility. The calculation logic is as follows:
Momentum Component: The script first calculates the net movement of each bar (Close minus Open) to determine the true directional strength, ignoring gaps.
Smoothing: This raw momentum is smoothed using a Moving Average (default 8-period) to filter out market noise.
Volatility Normalization (ATR): The smoothed value is then divided by the Average True Range (ATR).
Significance: This step adjusts the indicator for changing market conditions. A 50-point move is treated differently in a low-volatility environment versus a high-volatility one.
MTF Dashboard: A built-in table monitors this calculation across Daily, Weekly, and Monthly timeframes simultaneously.
How to Use
Buy Zone (≤ 30): Indicates the asset is historically cheap/oversold relative to its recent volatility.
Sell Zone (≥ 70): Indicates the asset is historically expensive/overbought relative to its recent volatility.
Divergences: Strong signals occur when Price makes a new High/Low, but the Proxy Index fails to confirm it, indicating exhaustion.
Settings
Timeframes: Fully customizable MTF table.
Colors: Dynamic coloring based on Overbought/Oversold zones.
Portugês
Descrição Este indicador é uma implementação especializada do Proxy Index, uma ferramenta de timing de mercado originalmente conceituada por Larry Williams. Ele foi projetado para identificar potenciais reversões de mercado analisando a relação entre o momentum do preço e a volatilidade real.
Ao contrário de osciladores padrão, o Proxy Index mede a duração e intensidade do movimento do preço em relação à volatilidade específica do ativo.
Metodologia
Componente de Momentum: Calcula o movimento líquido da barra (Fechamento - Abertura).
Normalização pela Volatilidade: O valor é dividido pelo ATR (Average True Range). Isso ajusta o indicador para as condições atuais do mercado.
Tabela MTF: Monitora esses dados em múltiplos tempos gráficos simultaneamente.
Como Usar
Zona de Compra (≤ 30): Ativo "barato" em relação à volatilidade.
Zona de Venda (≥ 70): Ativo "caro" em relação à volatilidade.
3. Categorias (Categories)
Marque estas 3 opções (são as que melhor descrevem a matemática do script):
✅ Volatility (Volatilidade) - Pois usa ATR.
✅ Oscillators (Osciladores) - Pois oscila entre 0 e 100.
✅ Trend Analysis (Análise de Tendência) - Pois identifica reversões.
Valuation Multi-Asset [MTF]Description This indicator is a specialized Intermarket Analysis tool designed to determine the relative valuation of an asset by comparing its performance against key global benchmarks (Currency, Commodities, Bonds, and Sector ETFs).
Unlike standard oscillators (like RSI) that only look at the asset's own price, this script calculates a Relative Value Index.
Underlying Concepts & Methodology The script operates on the principle of asset correlation and mean reversion ratios. The calculation logic follows these steps:
Ratio Calculation: It computes the price ratio between the Chart Asset and a Benchmark Asset (e.g., Symbol / DXY).
Smoothing: It applies a double smoothing method using Exponential Moving Averages (EMAs) to filter out short-term noise from the ratio.
Historical Normalization: Based on valuation theories (inspired by concepts like Larry Williams' valuation window), the script normalizes the smoothed ratio over a user-defined lookback period (default is 3 years/156 weeks). This ranks the current relative value between 0 and 100.
Key Features
Multi-Benchmark Comparison: Automatically compares the asset against the Dollar Index (DXY), Gold (GC1!), Bonds (ZB1!), and Sector ETFs.
MTF Dashboard: Includes a Multi-Timeframe table to see valuation status across Daily, Weekly, and Monthly views simultaneously.
ETF Reference: A built-in reference table to help you quickly find the correct Sector ETF for stock correlation.
How to Use
Undervalued Zone (< 15): When the line turns Green (or enters the bottom zone), the asset is historically cheap relative to the benchmark. This often indicates a potential accumulation or reversal point.
Overvalued Zone (> 85): When the line turns Red (or enters the top zone), the asset is historically expensive relative to the benchmark, suggesting potential distribution.
Divergences: Watch for divergences between the asset price and the Valuation Index (e.g., Price makes a new high, but the Valuation Index against Gold makes a lower high).
Settings
You can toggle individual benchmark lines (Asset 1 to 4).
Adjust the "Lookback Period" to change the historical normalization window.
Customize the Overbought/Oversold thresholds.
SVTR [Ultimate]SVTR v1.0 is a fully automated trading strategy designed to identify high-probability market opportunities using structured momentum, trend validation, and risk-controlled execution logic.
This strategy is not a simple signal generator.
It is a complete decision engine that evaluates market conditions, confirms entries with multiple filters, and manages trades automatically according to predefined logic.
Built for traders who want consistency, discipline, and objective execution, SVTR removes emotional bias and delivers rule-based trading across different market environments.
KEY FEATURES
• Fully automated entry and exit logic
• Multi-layer confirmation system
• Momentum and trend validation
• Smart trade filtering to reduce noise
• Works on multiple markets and timeframes
• Non-repainting logic
• Alert-ready for automation and integrations
AUTOMATED STRATEGY LOGIC
SVTR continuously analyzes the market and only executes trades when all required conditions align.
This prevents overtrading and avoids weak or low-quality setups.
The strategy is designed to:
Enter when momentum and direction are confirmed
Avoid choppy and uncertain market phases
Exit trades based on objective, rule-driven logic
Maintain consistency regardless of emotions or bias
WHY THIS STRATEGY?
Most traders fail not because of bad ideas, but because of:
Late entries
Emotional decisions
Overtrading
Lack of discipline
SVTR v1.0 solves these problems by automating the decision process and executing trades exactly as designed, every time.
You trade the system.
Not your emotions.
WHO IS IT FOR?
• Traders looking for automated execution
• System-based and rule-driven traders
• Swing traders and intraday traders
• Traders who want consistency over discretion
• Users who want a ready-to-use strategy framework
IMPORTANT NOTES
• Invite-Only / Private access
• Source code is protected
• Designed for backtesting, automation, and live monitoring
• Strategy behavior may vary depending on market conditions and settings
VERSION
v1.0 – Initial Private Release
Future updates may include optimizations, additional filters, and performance improvements.
FINAL STATEMENT
SVTR v1.0 is built for traders who value structure, confirmation, and automation over guesswork.
If you are looking for a strategy that executes with discipline, filters weak setups, and operates as a complete automated system, this strategy is designed for you.
VLinerMarket R1"VLiner Market R1" is our debut volume analysis tool designed to provide traders with comprehensive market insights through basic volume analysis - Delta volume. Inspired by the principles of an Order-Flow Trader.
Further details:
Market R1 features a unique design approach that combines two powerful analytical components, Volume Oscillator and Delta Bubbles (tick-volume).
The VO tracks 15-minute candle momentum using white/orange color coding.
Whilst the Delta Bubbles track 30-minute candle buy/sell pressure.
Documents:
The full User's manual for the use and concepts of this indicator is available on MT Blue's website
: mtblue-nsg.com
R1 uses:
- Tick movement volume (not real data volume)
- A look-back system for *semi-stochastic oscillation (delta toning: white & orange part of the VO's line)
Slight concerns:
- Although it may seem to be an indicator trading tool; it is Not .
This indicator only provides visualization for educational purposes, and is strictly advised Not to be use for trading/investing executions.
Resampling Reverse Engineering Bands XRREB X: Visual Oscillator Projection Bands
Based on the innovative "Resampling Reverse Engineering" concept pioneered by Donovan Wall, this enhanced script fixes the core mathematical symmetry and provides anchored, non-repainting bands for reliable analysis.
This indicator transforms any RSI, Stochastic, or CCI calculation directly onto your price chart as dynamic support/resistance bands. Instead of watching an oscillator below your chart, you see its overbought/oversold levels projected as price levels the market must reach.
RREB X reverses standard oscillator formulas to answer one question: "What price must the market reach for my chosen oscillator to hit an extreme level like RSI=70, Stoch=80, or CCI=100?" It then plots these levels as actionable bands.
Key Improvements
Adjustable Oscillator Values - While the original was hard coded the reverse engineered oscillator length which limited its usefulness, this script finally allows you to visualize any length oscillator as dynamic OB/OS regions directly on the chart.
Dynamic OB/OS levels: This version also lets you dynamically adjust the OB/OS levels location, making bands tighter or wider as your strategy demands.
Mathematical Symmetry: Outer bands are perfect mirrors, providing reliable projected levels.
Fixed Anchoring: Bands don't repaint historically, offering stable reference lines.
Direct Price Translation: Oscillator overbought/oversold conditions are visualized as clear price levels.
The Band Calculation Type switch lets you project different oscillator logics, each with unique characteristics for different market conditions.
RRSI - General trend & momentum. Change RSI Period (e.g., 7 for fast, 21 for slow). Adjust OB/OS (e.g., 80/20 for strong trends). The bands show the price needed to push your custom RSI into overbought/oversold territory.
RStoch - Ranging markets & short-term reversals. Focus on the Stochastic Period. The projected bands are highly sensitive to recent highs/lows. Excellent for spotting reversals at the edges of a range.
RCCI - Strong trends & volatile markets. Use a higher Outer Bands Multiplier. CCI's lack of upper/lower bounds means bands reflect extreme momentum shifts. Great for identifying explosive breakout or breakdown levels in trends.
Use Middle Band as Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for shorts. Same as the 50 midline on the RSI or Stochastic or 0 for CCI.
Customizing the Calculation:
The power lies in changing the oscillator lengths that the bands reflect. Adjust these in the settings:
Change from 14 to 7 for faster, more reactive bands, or to 21 for slower, smoother bands.
Overbought/Oversold: Change from 70/30 to 80/20 for stronger-trend filters, or to 60/40 for more frequent signals.
Trading the Bands:
Bands as Dynamic S/R: The solid cyan (Upper 100) and magenta (Lower 0) bands act as dynamic support and resistance. A touch and reversal can signal a trade.
Gradient as Momentum: The colored fills between bands visually represent the "pressure" needed to reach the next oscillator level.
Middle Band as Trend Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for short setups.
Take Profit XTake Profit X
Take Profit X solves the #1 problem in trading: knowing when to exit. Instead of guessing or using single indicators, it aggregates 8 technical signals to identify high-probability exit points through multi-confirmation consensus. This eliminates premature exits and emotional decision-making.
The indicator counts confirmations from your chosen technical tools:
Green dot = Multiple signals say "take profit on longs/exit shorts"
Red dot = Multiple signals say "take profit on shorts/exit longs"
Signals appear when you reach the minimum confirmations threshold you set.
Possible Settings:
Conservative (Swing Trading)
pine
Minimum Confirmations: 4
Use: RSI, MACD, CCI, Supertrend, Price Action
Disable: Stochastic, Bollinger Bands, EMA Cross
Look Back Bars: 10
Aggressive (Day Trading)
pine
Minimum Confirmations: 2
Use: All indicators ON
Look Back Bars: 3-5
RSI OB/OS: 75/25
Balanced (Most Markets)
pine
Minimum Confirmations: 3
Use: RSI, MACD, CCI, Supertrend
Price Action: ON
Look Back Bars: 5-7
Ultimate Adaptive RSIUltimate Adaptive RSI
RSI That Adapts to Any Market
This isn't your grandpa's RSI. It dynamically adjusts its sensitivity based on market conditions—smoother in trends, responsive in ranges.
Traditional RSI fails in strong trends and changing volatility. UA-RSI fixes both by adapting its sensitivity in real-time, giving you reliable signals whether the market is trending, ranging, or transitioning between regimes.
How It Adapts:
Smart Pre-Smoothing: Uses Efficiency Ratio to detect trend strength and automatically lengthens/shortens its smoothing window.
Dominant Cycle Detection: Matches its internal period to the market's actual rhythm.
Dynamic Bands: RMS-based overbought/oversold levels that expand/contract with volatility.
Smoothing Stack: ALMA pre-smoothing → Ultimate Smoother → Jurik filter creates the cleanest RSI you've ever seen.
Trade Signals:
Buy: RSI crosses above lower band or midline + price confirms
Sell: RSI crosses below upper band or midline + price confirms
Bands expand in high volatility → wait for deeper extremes
Bands contract in low volatility → take earlier signals
Signal line for crossover entries
Adaptive smoothing = fewer false signals in trends
Day trading: Use 1.0 band multiplier
Swing trading: Use 1.2-1.5 multiplier
Ranging markets: Lower multiplier to 0.8
Trending markets: Raise multiplier to 1.5+
Bands widen in volatility = wait for deeper extremes
Bands tighten in calm markets = take earlier signals
Never trade RSI alone - always wait for price confirmation
Hybrid Confluence (RSI,MFI,StochRSI) Two-Tier Momentum Framework
Many traders explore multi-oscillator hybrid confluence approaches that combine momentum and volume signals—most commonly RSI, Money Flow Index (MFI), and Stochastic RSI—to study stretched market conditions. These hybrid concepts are widely used to analyze potential exhaustion zones, cycle extremes, and periods of sustained buying or selling pressure across different timeframes.
This script does not replicate, reverse-engineer, or replace any paid or closed-source indicator.
Instead, it provides a fully transparent framework built exclusively from standard, well-documented technical indicators. All calculations are explicit and configurable, allowing traders to study hybrid momentum behavior without relying on proprietary logic or black-box tools.
What the Script Does
1. Builds a hybrid momentum confluence model
The script combines three widely used oscillators:
• RSI (Relative Strength Index) — price momentum
• MFI (Money Flow Index) — volume-weighted momentum
• Stochastic RSI — momentum relative to its own recent range
Each component operates on a normalized 0–100 scale, allowing meaningful comparison and aggregation.
2. Implements a clear two-tier signal structure
Instead of producing a single binary buy/sell output, the script separates early pressure from extreme conditions:
2-of-3 Confluence (Setups)
When any two of the three oscillators reach oversold or overbought levels:
• Displayed as semi-transparent circles
• Indicates building pressure or a developing condition
• Designed as a heads-up, not a trade signal
3-of-3 Confluence (Signals)
When all three oscillators reach oversold or overbought levels:
• Displayed as prominent vertical bars spanning the oscillator range
• Represents extreme momentum alignment
• Intended to highlight potential exhaustion zones
3. Visualizes sustained pressure using consecutive signal intensity
When 3-of-3 conditions persist across multiple bars:
• Each consecutive bar becomes progressively darker
• Up to six discrete intensity levels
• Darkness reflects duration and persistence, not prediction
This helps visualize scenarios where markets continue pushing higher or lower before a major turning point, rather than assuming a single signal marks the exact top or bottom.
4. Works across markets and timeframes
Because all inputs rely on standard technical indicators:
• Works on crypto, equities, futures, and FX
• Scales naturally from intraday to higher timeframes
• Can be used on Daily and multi-day charts for macro context
Why This Script Is Useful
Traditional oscillators often produce isolated signals that lack context. This framework adds clarity by:
1. Requiring multi-indicator agreement instead of single-signal triggers
2. Separating early pressure from extreme conditions
3. Showing how momentum can persist before a reversal
4. Avoiding binary “buy now / sell now” outputs
5. Remaining transparent and configurable
This makes the tool especially useful for:
• Swing traders
• Macro and cycle-focused traders
• Crypto traders studying extended momentum phases
• Analysts who prefer contextual signals over rigid rules
How to Use
1. Adjust RSI, MFI, and StochRSI lengths to suit your timeframe
2. Observe 2-of-3 circles as early warnings of building pressure
3. Watch 3-of-3 bars for extreme momentum alignment
4. Note increasing bar intensity as pressure persists
5. Combine with structure, trend, volume, or price action for decisions
This script is best used as a contextual tool, not a standalone trading system.
What This Script Is Not
• Not a recreation of any paid or proprietary indicator
• Not affiliated with any trading educator or platform
• Not intended as a predictive or standalone trading system
• Does not claim to identify exact tops or bottoms
All signals are derived solely from openly documented RSI, MFI, and Stochastic RSI calculations.
Important Notes
• This script is original, with a transparent methodology
• All calculations use standard, well-known technical formulas
• No hidden logic or undisclosed weighting is used
• Signal visuals are descriptive, not predictive
Disclaimer
This tool is provided for educational and analytical purposes only.
It does not constitute financial advice or a recommendation to trade.
Always validate settings, test on multiple assets and timeframes, and use proper risk management before trading live.
VixTrixVixTrix - Because markets move in both directions.
VixTrix was born from a fundamental limitation in traditional volatility indicators: they only measure downside panic, completely missing the greed-driven extremes that form market tops.
How It Works:
Dual-Component Analysis:
vixBear = Panic selling intensity (distance from recent highs)
vixBull = FOMO buying intensity (distance from recent lows)
Oscillator = vixBear - vixBull = Net fear/greed imbalance
When the oscillator is positive, fear dominates (potential bottom forming). When negative, greed dominates (potential top forming).
Professional-Grade Filtering:
The magic happens with the symmetric RMS (Root Mean Square) bands. Unlike fixed percentage bands or standard deviation, RMS:
Creates mathematically symmetric positive/negative thresholds
Naturally adapts to changing volatility regimes
Provides statistical significance to extremes
VixTrix also adds selectable MA smoothing for the RMS calculation:
WMA (default): Balanced – middle-ground approach
VWMA: Volume-weighted – filters low-volume noise
EMA: Responsive – catches quick reversals
SMA: Stable – for swing trading
HMA: Fast and smooth – ideal for day trading
Signals require triple confirmation:
Statistical Extreme: Oscillator beyond RMS band
Price Action Confirmation: Correct candle color (bullish for bottoms, bearish for tops)
Momentum Continuation: Oscillator still moving toward extreme (exhaustion)
This multi-filter approach reduces premature entries and false signals while maintaining early positioning at potential reversal points.
Why This Matters for Your Trading:
In bull markets, traditional fear indicators sit near zero, giving no warning of impending tops.
VixTrix identifies when greed becomes excessive – when FOMO buying reaches statistical extremes that often precede corrections.
In range-bound markets, VixTrix excels at identifying overreactions in both directions, providing high-probability mean reversion opportunities.
During crashes, it captures the panic selling with the same precision as VixFix, but with better timing through its momentum confirmation.
VixTrix spots continuations through:
"No Signal" = Healthy Trend – Oscillator stays between RMS bands (no exhaustion)
Failed Extremes – Touches band but no triple confirmation = trend likely continues
Hidden Divergence – Price makes higher low while oscillator makes shallower low = uptrend continues
Controlled Emotions – Oscillator negative but not extreme in uptrends (greed present but not excessive)
Key Insight: When VixTrix doesn't give a signal during a pullback, institutions aren't panicking – they're just pausing before resuming the trend.
Green columns = Bullish exhaustion (potential bottoms)
Red columns = Bearish exhaustion (potential tops)
Golden RMS bands = Dynamic thresholds adapting to current volatility
Background highlights = Active signal conditions
The Result: A professional-grade oscillator that works in all market conditions – trending up, trending down, or ranging – by measuring the complete emotional spectrum driving price action.
RSI Multi-TimeFrame [PACHI]This will show a Table with multiple time frames RSI levels.
> 68 the table cell will be red for given timeframe to indicate overbought
< 35 the table cell will be green for given timeframe to indicate oversold
there are few settings you can play with. if you have any suggestions, let me know.
// Pachi
Dynamic MAs Zscore | Lyro RSThe Dynamic MAs Zscore is an adaptive momentum and valuation oscillator built around advanced moving averages and statistical Z-Score normalization. By combining a wide selection of moving average types with dynamic deviation bands, this indicator delivers clear insights into trend strength , directional bias , and relative valuation — all in a clean, visually intuitive format.
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Key Features
━━━━━━━━━━━━━━━
Dynamic Moving Average Engine
Applies one of 12 selectable moving average types (SMA, EMA, WMA, VWMA, HMA, ALMA, TEMA, etc.) to the chosen source. This allows fine-tuning between responsiveness and smoothness depending on market conditions.
Z-Score Normalization
Transforms the selected moving average into a standardized Z-Score:
(MA − mean) / standard deviation
This normalization makes momentum strength comparable across assets and timeframes.
Adaptive Deviation Bands
Upper and lower bands are derived from the rolling standard deviation of the Z-Score:
Custom band length
Independent positive and negative multipliers
These bands dynamically expand and contract with volatility.
Dual Signal Modes
Trend Mode – Focuses on directional continuation. Color changes and signals occur when Z-Score breaks above or below deviation bands.
Valuation Mode – Highlights relative overvaluation and undervaluation using a gradient color scale and predefined value zones.
Advanced Visual System
Includes bold layered plots, gradient fills, background shading, and candle/bar coloring to clearly reflect current market state.
Custom Color Palettes
Choose from multiple preset themes (Classic, Mystic, Accented, Royal) or define your own bullish and bearish colors.
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How It Works
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MA Calculation – The selected moving average type is applied to the chosen price source.
Z-Score Computation – The MA is normalized over a user-defined lookback period to quantify deviation from its mean.
Band Construction – Standard deviation of the Z-Score is calculated over the band length and scaled by positive/negative multipliers.
Mode-Dependent Logic
Trend Mode – Breaks above the upper band signal bullish momentum; breaks below the lower band signal bearish momentum.
Valuation Mode – A gradient reflects relative valuation from undervalued to overvalued, with background highlights at extreme Z-Score levels.
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Signal Interpretation
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Trend Confirmation
In Trend Mode, sustained moves beyond deviation bands indicate strong directional bias.
Momentum Strength
The distance of the Z-Score from zero reflects the intensity of trend momentum.
Relative Valuation
In Valuation Mode, deep negative Z-Scores suggest undervaluation, while high positive Z-Scores suggest overvaluation.
Visual Clarity
Bar and candle coloring aligned with oscillator state allows for rapid assessment of market conditions.
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Customization
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Adjust MA type and length to balance speed vs. smoothness.
Modify Z-Score length to control sensitivity.
Tune band length and multipliers for volatility adaptation.
Switch between Trend and Valuation modes depending on strategy.
Personalize visuals using preset or custom color palettes.
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Alerts
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Bullish condition when Z-Score > 0
Bearish condition when Z-Score < 0
Overvalued and undervalued valuation alerts
⚠️ Disclaimer
This indicator is intended for technical analysis and educational purposes only. It does not guarantee profitable outcomes and should be used alongside other tools, confirmation methods, and sound risk management. The author is not responsible for any financial decisions made using this indicator.
Strategy with VWRSI and SAVE orders Long or Short or BothVWRSI is very powerful indicator coded by Algo Alpha and I Make Strategy of it
But there is no stop loss instate the Strategy is using Save orders to minimize the market manipulation
The best to used is side way market with long and short enable
The Strategy trigger long or short market order -
long - ta.crossover(rsi, 20)
short - ta.crossunder(rsi, 80)
And if is not take profit from the first trade start with the save trades until will do
the sum of the first order - base order and the save order can be adjust from the user
as well the deviation from the first order
IF some user have questions let me know
Disparity Offset [WizardTrendsInc]Disparity Offset
Description
Disparity Offset measures how far price is offset from a selected moving average, expressed as a percentage. It shows whether price is trading above or below its average and by how much, helping visualize price extension, balance, and deviation from the mean. The indicator oscillates around a zero line, where zero represents price being aligned with the moving average.
How to Use Disparity Offset
Zero Line (0%)
When the Disparity Offset is near zero, price is close to the moving average, suggesting equilibrium.
Positive Values
Values above zero indicate price is above the moving average. Larger positive readings show stronger upward offset from the average.
Negative Values
Values below zero indicate price is below the moving average. Larger negative readings show stronger downward offset
Upper & Lower Offset Zones
The configurable upper and lower percentage levels highlight when price is relatively far from the moving average. Movement back toward the zero line can be used to study mean-reversion behavior.
Visual Aids
Histogram bars show direction and intensity of the offset
Shaded zones emphasize overextended conditions
Optional markers display crossings of offset levels and the zero line for observation and learning
"Disclaimer: This indicator is intended for educational purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own research and consult with a licensed financial advisor before making any trading decisions.
ARDO - Adaptive Regression Deviation Oscillator (v2.4.6)ARDO – Adaptive Regression Deviation Oscillator (v2.4.6)
ARDO (Adaptive Regression Deviation Oscillator) quantifies deviation of price structure from a regression-based equilibrium baseline using adaptive moving-average spreads. It combines percentile-normalized distance, linear-regression slope, and dynamic gradient scaling to reveal trend extension, exhaustion, and regime shifts—offering a structural view of trend integrity and mean-reversion timing beyond traditional momentum oscillators. It is designed to help you answer two questions:
Where are we in the regime? (extended, neutral, or reversal-prone)
Is this a “trade” environment or a “stand aside” environment? (Gate PASS vs Gate BLOCK / drift)
ARDO is best used as a context + timing framework , not a standalone entry/exit system.
What you see in the ARDO pane
1) Spread A (% vs baseline)
Primary “timing” spread (default: stepline). Spread A is colored by a 4-state maColor model:
GREEN : above baseline and strengthening
ORANGE : above baseline but weakening
RED : below baseline and weakening
GRAY : below baseline but improving
2) Spread B (% vs baseline)
Secondary “context” spread (default: columns). Same 4-state color model as above, often used to confirm or filter Spread A behavior.
3) LinReg (slope-gradient)
A LinReg line fit to a selected source (Spread A / Spread B / Spread A+B). ARDO applies a slope-magnitude gradient (opacity/intensity) to visualize regime:
Stronger slope magnitude = stronger directional regime
Fading / low slope magnitude = drift / dead-zone (lower edge, choppy conditions, or end-of-move)
4) Tier zones (Q0–Q2, H2–H4)
ARDO classifies LinReg values into percentile tiers (extremes and mid-tiers). These tiers can be rendered as:
Background regions, or
Zero-line marker circles (“MK …” plots)
Important: Background colors do not export . The “MK Q0 … MK H4” series are emitted so you can reconstruct tier membership in CSV/backtests.
5) Gate PASS / Gate BLOCK
A compact “permission layer” that can require:
Spread A > LinReg
EMA Fast > EMA Slow
Minimum Spread A threshold
Minimum absolute LinReg slope
Use Gate PASS to focus on higher-quality conditions; use Gate BLOCK as a “do nothing / reduce size” warning.
Key settings (what they change)
Tier Mode
Standard: symmetric cut structure (general purpose)
Asymmetric: separate tuning for highs vs lows (often better when upside and downside behavior are not symmetric)
Tier Population
All Bars (LinReg): tiers represent the full LinReg distribution
Pivots Only: tiers are computed from pivot events only (can tighten “extreme” definition and change how frequently zones appear)
Render Mode
Background: easiest to read visually
Zero-line Markers: best for export/backtesting workflows (MK series)
Gating options
Turn on/off each rule independently; adjust thresholds to match symbol volatility and timeframe.
Color overrides
Optional per-state color customization for Spread A, Spread B, and LinReg (4-state).
Alerts included (v2.4.6)
ARDO exposes named alerts you can use for automation or review, including:
Gradient / regime alerts (HIGH vs LOW slope-magnitude regimes; regime shift transitions)
Color-state changes (Spread B → GREEN/ORANGE/RED/GRAY; LinReg state changes)
Tier entry alert s (LinReg entering key tiers such as Q0/Q1/H3/H4)
Structural primitives (Bullish A > B, Bearish A < B, Gate PASS/BLOCK, crosses of 0, etc.)
How to use (practical workflow)
Anchor timeframe (65m or Daily): identify regime (tiers + gradient) and whether you should be aggressive or defensive.
Execution timeframe (5m/1m): time entries using Spread A/B structure and Gate PASS, aligned with the anchor regime.
Avoid forcing trades in drift: fading gradient + mid/low-edge tiers often marks “dead-zone” conditions.
Notes / limitations
ARDO is a context engine: it describes regime and location, not guaranteed direction.
Tier thresholds are distribution-based and will vary by window/timeframe.
Always apply your own risk management; this script is not financial advice.
Adaptive Signal IndicatorAdaptive Signal Indicator
Overview
The Adaptive Signal Indicator is a multi-timeframe confirmation system designed to help traders and investors identify potential entry and exit points. It automatically adjusts its analysis timeframes based on your chart's timeframe, providing consistent signal logic whether you're viewing 15-minute or weekly charts.
How It Works
This indicator combines multiple technical components that must align before generating a signal. However, the signal has a heavier weighting on price action because real investors know that "Only Price Pays." Additionally, rather than relying on a single indicator, it requires confirmation across several dimensions:
Trend Analysis — Evaluates short-term price structure using dual exponential moving averages
Wave Detection — Monitors momentum shifts using smoothed momentum calculations
Flow Tracking — Analyzes volume dynamics to confirm price movements have participation
Pulse Filter — Ensures signals align with the current directional bias of oscillator momentum
Macro Alignment — Checks higher-timeframe trend agreement before triggering signals
Drift Gate — Requires short-term trend confirmation on the daily timeframe
Cross Detection — Identifies key moving average crossovers on the daily timeframe
Range Position — Uses volatility bands to filter signals at extreme price levels
Signal Logic
Buy signals require:
Multiple bullish confirmations across different analysis methods
Macro trend not in bearish alignment
Pulse filter confirming upward momentum
Drift gate showing bullish daily bias
Sell signals require:
Bearish momentum confirmation
Macro trend not in bullish alignment
Pulse filter confirming downward momentum
Dashboard
Two real-time tables display:
Status Panel (Top Right)
Current state of all 8 analysis components
Color-coded for quick visual assessment
Shows conditions count and last signal status with % change since signal
Statistics Panel (Bottom Right)
Total signals generated
Success rate with win/loss breakdown
Average return per signal
Average winning and losing trade percentages
Profit factor
Maximum win and loss percentages
Key Features
✓ Adaptive Timeframes — Automatically selects appropriate analysis timeframes based on your chart
✓ Multiple Confirmations — Reduces false signals by requiring agreement across different analysis methods
✓ Clear Signals — Distinct BUY/SELL markers with no ambiguity
✓ Built-in Statistics — Track historical performance directly on chart
✓ Works on Any Market — Stocks, crypto, forex, indices, commodities
✓ Clean Visual Design — Overlay design keeps your chart readable
Best Practices
Use this indicator as one component of your overall trading plan
Consider your own risk management rules for position sizing and stop losses
Backtest on your preferred markets and timeframes before live trading
Signals work best in trending market conditions (the indicator filters for trend strength)
Who This Is For
Traders who prefer a systematic approach with clearly defined entry conditions. Suitable for swing trading and position trading timeframes. The multi-confirmation requirement means fewer signals, but each signal has passed multiple filters.
Note: Past performance shown in the statistics panel is based on historical data and does not guarantee future results. This indicator provides analysis tools to support your trading decisions—it is not financial advice. Always use proper risk management
Wyckoff Institutional Decoder [OXE]4 Professional Dashboard Panels
Panel 1: RETAIL VS SMART MONEY INSIGHT (Top-Right)
This is the showstopper - side by side comparison:
🔴 RETAIL SEES🟢 SMART MONEY SEES"Support broke! 📉 SELL!""Spring trap complete ✓ Institutions buying""Breakout! 📈 BUY!""Upthrust trap complete ✓ Institutions selling""Downtrend continuing, Stay short""Accumulation Phase, Institutions loading""Just a pullback, Buy the dip!""Late Distribution, Breakdown approaching"
Plus:
Effort vs Result interpretation
Outcome prediction (Retail: "Gets stopped out 💀" vs Smart Money: "Enters at best price ✓")
Panel 2: MAIN WYCKOFF DASHBOARD (Bottom-Right)
MetricDisplayPhaseACCUMULATION / DISTRIBUTION / MARKUP / MARKDOWNStrength████ 85% (visual progress bar)Sub-PhaseA - Selling Climax, B - Building Cause, C - Spring, etc.Smart MoneySTRONG BUYING / Buying / Neutral / Selling / STRONG SELLINGVolume🔊 EXTREME / 🔉 High / 🔈 Low with ratio (2.3x)Effort/ResultABSORPTION / EASY MOVE / BALANCEDCause Built45 bars (45%) - shows target potentialTarget↑ 2,145.50 (projected price target)◆ ACTIONBUY THE SPRING / SELL THE UPTHRUST / WAIT & OBSERVE
Panel 3: EVENT LOG (Middle-Right)
Real-time chronological log of Wyckoff events:
📋 EVENT LOG
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SPRING 🟢 | 3 bars
Test (Spring) | 8 bars
Sign of Strength | 15 bars
Selling Climax | 42 bars
Panel 4: LEGEND (Bottom-Left)
Quick reference for all chart markers:
▲ SPRING = Buy Signal
▼ UTAD = Sell Signal
◆ SOS = Strength Confirmed
◆ SOW = Weakness Confirmed
● SC/BC = Climax Volume
╳ T = Test Event
— — = Creek / Ice levels
📊 Chart Visualizations
Structure Elements
Trading Range Box - Color-coded by phase (blue=accumulation, red=distribution)
Creek Level - Dashed blue line (resistance within accumulation)
Ice Level - Dashed red line (support within distribution)
Target Projection - Arrow showing price target based on "cause"
Event Markers
SPRING ▲ - Green triangle below bar
UTAD (Upthrust) ▼ - Red triangle above bar
SOS ◆ - Green diamond (Sign of Strength)
SOW ◆ - Red diamond (Sign of Weakness)
SC/BC ● - Orange circles (Selling/Buying Climax)
Tests ╳ - Small X markers
LPS/LPSY - Labels for Last Point of Support/Supply
Volume Highlighting
Orange background = Ultra-high volume (institutional activity)
Yellow background = High volume
🧠 Smart Detection Engine
Phase Detection
Automatically identifies:
ACCUMULATION (Smart money buying)
Sub-phases: A (Selling Climax), B (Building Cause), C (Spring), D (SOS), E (Breakout)
DISTRIBUTION (Smart money selling)
Sub-phases: A (Buying Climax), B (Building Cause), C (UTAD), D (SOW), E (Breakdown)
MARKUP (Uptrend)
MARKDOWN (Downtrend)
Event Detection
Selling Climax (SC)
Automatic Rally (AR)
Secondary Test (ST)
Spring
Sign of Strength (SOS)
Last Point of Support (LPS)
Buying Climax (BC)
Upthrust After Distribution (UTAD)
Sign of Weakness (SOW)
Last Point of Supply (LPSY)
Tests (low volume confirmations)
Volume Analysis
Effort vs Result - Detects absorption (high volume, small move)
Stopping Volume - Climax with rejection wicks
No Demand/Supply - Low volume showing lack of interest
Smart Money Score - Composite Operator activity gauge (-10 to +10)
Price Targets
Cause & Effect calculation
Projects targets based on consolidation width
Shows when enough "cause" has built up
⚡ All Alerts Included
Spring detected
Upthrust detected
Sign of Strength
Sign of Weakness
Selling/Buying Climax
Spring/Upthrust Tests
LPS/LPSY
Phase changes (Accumulation → Markup, etc.)
🎨 Optimized for White Backgrounds
All colors carefully selected for:
High contrast on white charts
Easy readability
Professional appearance
No eye strain
Settings You Can Customize
Structure detection length
Pivot sensitivity
Volume spike thresholds
Spring/Upthrust sensitivity
Dashboard size (small/normal/large)
All colors
Toggle each panel on/off
Toggle each visualization element
MACD-V Multi-Timeframe Confluence DashboardThis indicator identifies high-probability trade entries by analyzing momentum alignment across multiple timeframes using the MACD-V (Volatility Normalized MACD) formula. It features a fully customizable signal engine that allows traders to specify exactly which timeframes must agree before a trade signal is generated.
Optimized Defaults
By default, the indicator is tuned to the 5-minute, 15-minute, and 1-hour timeframes. We have found this specific combination performs best for identifying robust trends while filtering out noise. However, the strategy is fully flexible—users can easily adjust these settings to fit scalping (1m/5m) or swing trading (4H/Daily) styles.
Indicator Features
Dynamic Confluence: A Buy or Sell signal (displayed as a large + on the chart) is generated only when all selected timeframes are in agreement. This ensures you are trading with the dominant trend across multiple time scales.
Alternating Signal Filter: To prevent repetitive alerts during strong trends, the script uses a smart filter: a new Buy signal will only trigger if the last confirmed signal was a Sell (and vice versa).
Live Dashboard: An on-screen table displays the real-time status of every timeframe (Trend, Curl, and MACD Value). Timeframes currently active in your strategy are highlighted in yellow.
Local Entry Arrows (Optional): The script includes smaller red/green arrows that indicate simple MACD line crosses on the current chart's timeframe. These can be useful for precise timing but can be noisy in choppy markets. These are turned off by default to keep the chart clean, but can be enabled in the "Visuals" settings if you require granular entry signals.
How to Use
Check the Dashboard: Look for the yellow-highlighted rows in the table to see which timeframes are currently driving your signals.
Wait for the Cross (+): A green + indicates bullish momentum is aligned across all your chosen timeframes.
Refine (Optional): Turn on "Show Local Arrows" if you want to see the specific moment the MACD crosses on your current timeframe to fine-tune your entry.
[SM-021] Gaussian Trend System [Optimized]This script is a comprehensive trend-following strategy centered around a Gaussian Channel. It is designed to capture significant market movements while filtering out noise during consolidation phases. This version (v2) introduces code optimizations using Pine Script v6 Arrays and a new Intraday Time Control feature.
1. Core Methodology & Math
The foundation of this strategy is the Gaussian Filter, originally conceptualized by @DonovanWall.
Gaussian Poles: Unlike standard moving averages (SMA/EMA), this filter uses "poles" (referencing signal processing logic) to reduce lag while maintaining smoothness.
Array Optimization: In this specific iteration, the f_pole function has been refactored to utilize Pine Script Arrays. This improves calculation efficiency and rendering speed compared to recursive variable calls, especially when calculating deep historical data.
Channel Logic: The strategy calculates a "Filtered True Range" to create High and Low bands around the main Gaussian line.
Long Entry: Price closes above the High Band.
Short Entry: Price closes below the Low Band.
2. Signal Filtering (Confluence)
To reduce false signals common in trend-following systems, the strategy employs a "confluence" approach using three additional layers:
Baseline Filter: A 200-period (customizable) EMA or SMA acts as a regime filter. Longs are only taken above the baseline; Shorts only below.
ADX Filter (Volatility): The Average Directional Index (ADX) is used to measure trend strength. If the ADX is below a user-defined threshold (default: 20), the market is considered "choppy," and new entries are blocked.
Momentum Check: A Stochastic RSI check ensures that momentum aligns with the breakout direction.
3. NEW: Intraday Session Filter
Per user requests, a time-based filter has been added to restrict trading activity to specific market sessions (e.g., the New York Open).
How it works: Users can toggle a checkbox to enable/disable the filter.
Configuration: You can define a specific time range (Default: 09:30 - 16:00) and a specific Timezone (Default: New York).
Logic: The strategy longCondition and shortCondition now check if the current bar's timestamp falls within this window. If outside the window, no new entries are generated, though existing trades are managed normally.
4. Risk Management
The strategy relies on volatility-based exits rather than fixed percentage stops:
ATR Stop Loss: A multiple of the Average True Range (ATR) is calculated at the moment of entry to set a dynamic Stop Loss.
ATR Take Profit: An optional Reward-to-Risk (RR) ratio can be set to place a Take Profit target relative to the Stop Loss distance.
Band Exit: If the trend reverses and price crosses the opposite band, the trade is closed immediately to prevent large drawdowns.
Credits & Attribution
Original Gaussian Logic: Developed by @DonovanWalll. This script utilizes his mathematical formula for the pole filters.
Strategy Wrapper & Array Refactor: Developed by @sebamarghella.
Community Request: The Intraday Session Filter was added to assist traders focusing on specific liquidity windows.
Disclaimer: This strategy is for educational purposes. Past performance is not indicative of future results. Please use the settings menu to adjust the Session Time and Risk parameters to fit your specific asset class.
Combined: Gann HL + Supertrend + Supertrend v6Combined: Gann HL + Supertrend + Supertrend v6
Included Indicators
1. Gann High-Low Activator
A dynamic trend tool that flips direction when price crosses its smoothed high/low average. Gann signals often catch clean directional swings and act as an excellent early trend filter.
2. Standard Supertrend (ATR-based)
The classic trend-following indicator using average true range for volatility-adaptive stop levels. Its direction flips mark trend reversals, especially effective in trending markets.
3. Orekhov Supertrend (GPL Classic)
A robust version of Supertrend that includes wick sensitivity and doji-handling logic. It behaves smoothly on lower timeframes, avoiding false flips and maintaining direction more intelligently.






















