Corak carta
SMC Support/Resistance BOS RBS StrategyThis strategy combines Smart Money Concepts (SMC) with Support & Resistance trading to capture high-probability reversal and continuation setups.
Key features:
Break of Structure (BOS): Confirms market direction before entering trades.
Role Reversal (RBS): Trades levels that have flipped roles (Support → Resistance or Resistance → Support).
Support & Resistance: Uses pivot-based levels to identify key reaction zones.
Risk Management: Fixed 10% stop loss and 50% take profit, giving a strong 1:5 reward-to-risk ratio.
Long & Short Entries: Trades both bullish and bearish setups with clear confirmation rules.
✅ Works best on Forex, Crypto, and Indices
✅ Suitable for 1H, 4H, and Daily timeframes
✅ Focused on trend and reversal opportunities
VWAP Adapt ProDescription
VWAPADAPT provides institutional-grade VWAP (Volume Weighted Average Price) analysis with multiple standard deviation bands, session reset options, and slope analysis. VWAP represents the average price weighted by volume - where institutional traders have executed throughout the day.
Sawaes StrategyHere’s a **clear TradingView-style description** you can use directly in the indicator’s **Description** field or when sharing it publicly.
---
## 📈 Sawaes Strategy – Buy & Sell Signal (SuperTrend-Based)
### 🔹 Overview
**Sawaes Strategy** is a trend-following indicator based on a **custom SuperTrend calculation** using **ATR (Average True Range)**.
It is designed to identify **trend direction**, **dynamic support/resistance**, and provide **clear buy and sell signals** when price confirms a trend change.
The indicator plots a colored trailing line on the chart and generates visual arrows for entries, making it suitable for **intraday, swing, and positional trading**.
---
### 🔹 How It Works
1. **ATR Volatility Measurement**
* Uses ATR to measure market volatility.
* The ATR value is multiplied by a user-defined **Factor** to adapt to different markets and timeframes.
2. **Dynamic Trend Lines**
* A **SuperTrend trailing stop line** is calculated above or below price.
* The line moves only in the direction of the current trend, preventing whipsaws.
3. **Trend Direction**
* 🟢 **Green line** → Uptrend (Bullish)
* 🔴 **Red line** → Downtrend (Bearish)
4. **Trend Switching**
* Trend flips when price decisively crosses the trailing stop line.
* Entry arrows appear only on confirmed trend changes.
---
### 🔹 Buy & Sell Signals
#### 🟢 Buy Signal
* Price crosses **above** the SuperTrend line
* Price closes **above** the trailing stop
* Trend changes from **bearish to bullish**
* Displayed as:
* Green **triangle up**
* Green **arrow up** on trend reversal
#### 🔴 Sell Signal
* Price crosses **below** the SuperTrend line
* Price closes **below** the trailing stop
* Trend changes from **bullish to bearish**
* Displayed as:
* Red **triangle down**
* Red **arrow down** on trend reversal
---
### 🔹 Inputs
* **Factor**
Controls sensitivity.
* Higher value → fewer signals, stronger trends
* Lower value → more signals, faster reactions
* **ATR Period**
Defines how volatility is calculated.
---
### 🔹 Best Use Cases
✔ Trending markets
✔ Index, Forex, Crypto, Stocks
✔ Works on all timeframes
✔ Can be combined with:
* Volume confirmation
* RSI / MACD
* Support & Resistance
---
### 🔹 Risk Management Tips
* Use the SuperTrend line as a **dynamic stop-loss**
* Trail stops along the colored trend line
* Avoid choppy or sideways markets
* Confirm higher-timeframe trend for better accuracy
---
### 🔹 Alerts
The indicator includes:
* 📢 Buy alert
* 📢 Sell alert
These can be used for automation or mobile notifications.
---
If you want, I can:
* Rewrite this as a **short public TradingView description**
* Add **disclaimer text**
* Convert it into a **strategy with backtesting**
* Optimize parameters for **crypto / forex / indices**
Just tell me 👍
deKoder | Structural Flow [SF]deKoder | SF | Structural Flow - Swing/Pivot Structure Charting
Strips away the noise of standard candlestick charts and reveals the true underlying swing structure through clean, connected pivot lines.
Beneath the storm of wicks / Silent structure whispers truth
Extreme Noise Reduction
Replaces cluttered price action with a minimalist pivot based line chart. The user-defined Window length lets you control sensitivity: shorter for more detail on lower timeframes, longer for cleaner structure on higher timeframes.
Accurate Swing Detection
Only stronger pivots are accepted. Weaker same side pivots are ignored, preserving the true extreme highs and lows without distortion.
Real Time Extension
The final incomplete leg dynamically follows the current close until the next confirmed pivot forms.
Optional Directional Colouring
Enable Directional Colouring to automatically colour confirmed legs with the user defined bull and bear colours on upward and downward swings.
Adjustable Background Candles
Candles with adjustable transparency may be displayed on the chart. Adjust the visibility setting to find the perfect balance between full raw candle data and clean structure
Practical Uses
Instantly reveals classic chart patterns — head & shoulders, double tops/bottoms, triangles, flags with unmistakable clarity
Becomes simple to spot Wyckoff springs, upthrusts, and phase transitions inside trading ranges
Provides a clean foundation for manual Elliott Wave counting . Clear swing structure makes labeling impulses and corrections much easier
Makes trend changes and potential reversals stand out without second-guessing every wick
Excellent for higher-timeframe structural analysis — the longer window setting produces exceptionally clean swing views
Ideal for creating clean educational screenshots and annotated posts - the chart speaks for itself
Reduces emotional noise by shifting focus from every candle to meaningful swing structure
Well suited for swing and price action traders, Wyckoff and Elliott Wave analysis, and anyone who prefers calm, uncluttered charts over constant visual chaos.
Clean charts. Clear sight.
☠ FR33FA11 | deKoder ☠
Released January 2025 | Open Source
If this open-source script (or any of its free companions) has saved you time or helped you read the market better, a coffee or a few sats helps to keep the Pine coming ❤️
Solana: 2N8HWPAHSC7Z8SLyneMrZp234UAP9HCtQX7wNXw7LKQC
Ethereum: 0xE770D254DC579d1db7bA2fe74376b7009527356B
Bitcoin: bc1qd8j3awht5yrjtnvt5dagxldzhaesc83sftype3
Polygon: 0xE770D254DC579d1db7bA2fe74376b7009527356B
Hype: 0xE770D254DC579d1db7bA2fe74376b7009527356B
Supply & Demand (10-MTF) | StableThe Supply & Demand (10-MTF) indicator is a sophisticated technical analysis tool designed to identify high-probability institutional "buy" and "sell" zones across ten different timeframes simultaneously.
Core Functionality
The indicator works by scanning for displacement—sharp, aggressive price movements that leave behind "unfilled orders."
Zone Identification: It identifies a "Base" (the candle before the move) and a "Leg-out" (the momentum candles). If the leg-out meets your momentum strength requirements, a zone is drawn.
Multi-Timeframe Aggregation: Instead of switching between charts, a trader can see 1H Supply, 4H Demand, and Daily Supply zones all layered on a 5-minute chart.
Real-Time Invalidation: The indicator tracks whether price has "mitigated" (broken) a zone. Once a zone is breached by a wick or a close (depending on your settings), it can be hidden or marked as historic.
Why It’s Useful for Traders
1. Confluence Mapping (The "Nest" Strategy)
The most powerful use of this tool is finding Nested Zones. When a 15-minute Demand zone resides inside a 4-hour Demand zone, the probability of a reversal is significantly higher. This indicator makes these high-confluence areas visually obvious.
2. Institutional Footprint Tracking
Institutions do not buy or sell everything at once; they leave footprints in the form of supply and demand imbalances. This tool helps retail traders avoid "buying the top" or "selling the bottom" by showing where the big money actually entered the market.
3. Dynamic Stop Loss & Take Profit
Stop Loss: Traders can place stops just outside the structural boundary of a zone.
Take Profit: Traders can use the opposing HTF (Higher Timeframe) supply zone as a natural target for a long trade.
4. Time Efficiency
Managing 10 timeframes manually is mentally exhausting. This indicator automates the "top-down analysis" process, allowing you to focus on execution rather than chart flipping.
Infinity Signal Momentum ConsensusMulti-Timeframe Momentum Fusion & Projection
Infinity Signal — Momentum Consensus is a multi-timeframe momentum oscillator designed to identify early turning points, directional bias, and momentum structure by blending momentum data across multiple timeframes into a single, unified signal.
Instead of relying on a traditional single-timeframe Stochastic RSI, this indicator creates a consensus momentum curve that reflects how short-, medium-, and long-term momentum align in real time.
The result is a smoother, more stable oscillator that often turns before price and before standard momentum indicators react.
This approach reduces noise while preserving the geometric structure required for forward projection and swing analysis.
🔍 How It Works
The indicator computes Stochastic RSI momentum across multiple timeframes (1H, 4H, 1D, 1W, 1M), normalizes those values, and combines them into a single composite curve.
Each timeframe contributes differently:
Higher timeframes shape overall curvature and bias
Mid timeframes influence impulse strength
Lower timeframes refine timing
When averaged together, these form a momentum consensus that highlights genuine shifts in market behavior.
The indicator also includes:
A forward momentum projection based on prior curvature
A multi-timeframe alignment table with weighted bias and grading
Visual context for overbought, oversold, and transitional states
🧭 How to Use
1️⃣ Identify Directional Bias
Use the Composite Momentum Curve to determine the dominant market bias.
Rising curve → bullish momentum pressure
Falling curve → bearish momentum pressure
Flattening or compressing curve → consolidation or transition
Because the curve blends multiple timeframes, its direction is often more reliable than single-TF oscillators.
2️⃣ Watch for Early Turning Points
Key signals occur when the composite curve bends, flattens, or crosses.
Momentum turns frequently appear before price reversals
Signals near overbought or oversold zones carry greater significance
The smoother curve helps reduce whipsaw
These inflection points are particularly useful for swing and position traders.
3️⃣ Use the Multi-Timeframe Table for Confirmation
The table summarizes momentum alignment across all tracked timeframes.
Bull / Bear / Mixed shows agreement or divergence
Weighted scores reveal which timeframes dominate
Signal grades (A+ → F) reflect alignment quality
The strongest setups occur when table bias and momentum direction agree.
4️⃣ Interpret Projections as Context
Projected momentum paths visualize how momentum may evolve based on prior structure.
Use projections as guidance, not guarantees
Look for symmetry, slope changes, and recurring curvature
Combine projections with structure or support/resistance
Projections are most effective in stable momentum regimes.
5️⃣ Combine with Price Action & Risk Management
Infinity Signal — Momentum Consensus is designed as a decision-support tool.
Confirm signals with market structure and price behavior
Use clear invalidation levels and risk controls
Reduce exposure during mixed or low-alignment conditions
No indicator replaces proper risk management.
🎯 Ideal Use Cases
Swing trading & position trading
Momentum-based trend analysis
Early reversal and pivot detection
Multi-timeframe confirmation
⚠️ Disclaimer
This indicator is for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
Cosmic Volume Analyzer [JOAT]
Cosmic Volume Analyzer - Astrophysics Edition
Overview
Cosmic Volume Analyzer is an open-source oscillator indicator that applies astrophysics-inspired concepts to volume analysis. It classifies volume into buy/sell categories, calculates volume flow, detects accumulation/distribution phases, identifies climax volume events, and uses gravitational and stellar mass analogies to visualize volume dynamics.
What This Indicator Does
The indicator calculates and displays:
Volume Classification - Categorizes each bar as CLIMAX_BUY, CLIMAX_SELL, HIGH_BUY, HIGH_SELL, NORMAL_BUY, or NORMAL_SELL
Volume Flow - Percentage showing buy vs sell pressure over a lookback period
Buy/Sell Volume - Separated volume based on candle direction
Accumulation/Distribution - Phase detection using Money Flow Multiplier
Volume Oscillator - Fast vs slow volume EMA comparison
Gravitational Pull - Volume-weighted price attraction metric
Stellar Mass Index - Volume ratio combined with price momentum
Black Hole Detection - Identifies extremely low volume periods (liquidity voids)
Supernova Events - Detects extreme volume with extreme price movement
Orbital Cycles - Sine-wave based cyclical visualization
How It Works
Volume classification uses volume ratio and candle direction:
classifyVolume(series float vol, series float close, series float open) =>
float avgVol = ta.sma(vol, 20)
float volRatio = avgVol > 0 ? vol / avgVol : 1.0
if volRatio > 1.5
if close > open
classification := "CLIMAX_BUY"
else
classification := "CLIMAX_SELL"
else if volRatio > 1.2
// HIGH_BUY or HIGH_SELL
else
// NORMAL_BUY or NORMAL_SELL
Volume flow separates buy and sell volume over a period:
calculateVolumeFlow(series float vol, series float close, simple int period) =>
float currentBuyVol = close > open ? vol : 0.0
float currentSellVol = close < open ? vol : 0.0
// Accumulate in buffers
float flow = (buyVolume - sellVolume) / totalVol * 100
Accumulation/Distribution uses the Money Flow Multiplier:
float mfm = ((close - low) - (high - close)) / (high - low)
float mfv = mfm * vol
float adLine = ta.cum(mfv)
if adLine > adEMA and ta.rising(adLine, 3)
phase := "ACCUMULATION"
else if adLine < adEMA and ta.falling(adLine, 3)
phase := "DISTRIBUTION"
Gravitational pull uses volume-weighted price distance:
gravitationalPull(series float vol, series float price, simple int period) =>
float massCenter = ta.vwma(price, period)
float distance = math.abs(price - massCenter)
float mass = vol / ta.sma(vol, period)
float gravity = distance > 0 ? mass / (distance * distance) : 0.0
Signal Generation
Signals are generated based on volume conditions:
Buy Climax: Volume exceeds 2 standard deviations above average on bullish candle
Sell Climax: Volume exceeds 2 standard deviations above average on bearish candle
Strong Buy Flow: Volume flow exceeds positive threshold (default 45%)
Strong Sell Flow: Volume flow exceeds negative threshold (default -45%)
Supernova: Volume 3x average AND price change 3x average
Black Hole: Volume 2 standard deviations below average
Dashboard Panel (Top-Right)
Volume Class - Current volume classification
Volume Flow - Buy/sell flow percentage
Buy Volume - Accumulated buy volume
Sell Volume - Accumulated sell volume
A/D Phase - ACCUMULATION/DISTRIBUTION/NEUTRAL
Volume Strength - Normalized volume strength
Gravity Pull - Current gravitational metric
Stellar Mass - Current stellar mass index
Cosmic Field - Combined cosmic field strength
Black Hole - Detection status and void strength
Signal - Current actionable status
Visual Elements
Volume Ratio Columns - Colored bars showing normalized volume
Volume Flow Line - Main oscillator showing flow direction
Flow EMA - Smoothed flow for trend reference
Volume Oscillator - Area plot showing fast/slow comparison
Gravity Field - Area plot showing gravitational pull
Orbital Cycle - Circle plots showing cyclical pattern
Stellar Mass Line - Line showing mass index
Climax Markers - Fire emoji for buy climax, snowflake for sell climax
Supernova Markers - Diamond shapes for extreme events
Black Hole Markers - X-cross for liquidity voids
A/D Phase Background - Subtle background color based on phase
Input Parameters
Volume Period (default: 20) - Period for volume calculations
Distribution Levels (default: 5) - Granularity of distribution analysis
Flow Threshold (default: 1.5) - Multiplier for flow significance
Accumulation Period (default: 14) - Period for A/D calculation
Gravitational Analysis (default: true) - Enable gravity metrics
Black Hole Detection (default: true) - Enable void detection
Stellar Mass Calculation (default: true) - Enable mass index
Orbital Cycles (default: true) - Enable cyclical visualization
Supernova Detection (default: true) - Enable extreme event detection
Suggested Use Cases
Identify accumulation phases for potential long entries
Watch for distribution phases as potential exit signals
Use climax volume as potential exhaustion indicators
Monitor volume flow for directional bias
Avoid trading during black hole (low liquidity) periods
Watch for supernova events as potential trend acceleration
Timeframe Recommendations
Best on 15m to Daily charts. Volume analysis requires sufficient trading activity for meaningful readings.
Limitations
Volume data quality varies by exchange and instrument
Buy/sell separation is based on candle direction, not actual order flow
Astrophysics concepts are analogies, not literal physics
A/D phase detection may lag during rapid transitions
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
CycleForecasterCycleForecaster is a sophisticated multi-oscillator confluence indicator designed to identify market cycles and potential reversal zones through the combination of five powerful technical oscillators. This indicator has been carefully enhanced for TradingView with modern visual aesthetics and additional features.
⚡ Key Features
🎯 Multi-Oscillator Confluence Engine
Combines RSI, Fisher Transform, CCI, MACD, and Stochastic oscillators
Normalizes all oscillators to a unified scale for accurate comparison
Weighted composite calculation for balanced signal generation
🔄 Adaptive Cycle Detection
Automatically identifies cycle peaks and troughs
Tracks and learns from historical cycle lengths
Forecasts expected future cycle turning points
Dynamic percentile-based threshold calculation
📊 Confluence Scoring System
Counts bullish/bearish signals across all oscillators
Configurable confluence threshold (default: 3/5 oscillators must agree)
Filters noise by requiring multi-indicator confirmation
🎨 Premium Visual Design
5 built-in color themes: Neon, Classic, Ocean, Sunset, Matrix
Gradient fills for intuitive overbought/oversold visualization
Momentum histogram for acceleration/deceleration analysis
Professional real-time information panel
📈 How It Works
Oscillator Normalization: Each oscillator is normalized to a -1 to +1 scale, allowing for direct comparison and combination.
Composite Calculation: A weighted average of all normalized oscillators creates a single composite line that represents the overall market cycle position.
Cycle Detection: The indicator identifies peaks and troughs using configurable thresholds, either through automatic percentile calculation or manual settings.
Forecasting: Based on detected cycles, the indicator calculates average cycle length and projects expected future turning points.
Confluence Confirmation: Signal strength is validated by counting how many individual oscillators agree with the overall reading.
SmootherStepper Pro Description
SmootherStepper applies triple exponential smoothing to the TrenderStepper algorithm, creating an ultra-smooth trend line that eliminates whipsaws while maintaining responsiveness to genuine trend changes. The three-stage smoothing process creates a superior signal-to-noise ratio compared to single-pass methods.
Bear & Bull Builder // visual strategy builderAre you a trend follower?
Trend following systems have been a cornerstone of trading since the first candlestick charts were invented in 18th-century Japan by Munehisa Homma (or Honma), a legendary rice merchant who used them to analyze market sentiment and predict price movements. Since then, legendary traders like Richard Dennis and Dr. David Paul have used technical analysis—the study of turning points and trends of candlestick charts—to develop an edge and strategy for trading equity, commodity, and forex markets.
How to Utilize the Bear & Bull Builder
This script is a way to pick and choose technical methods like SMAs and EMAs to define trend exits and entries. Additionally, you can specify an ATR (Average True Range) calculated stop loss based on your individual strategy and trading plan. Within the settings panel, you can set up this script to display only Long Position values, zones, and levels—or configure it for shorts, or both.
What Makes This Original
Unlike most trend-following indicators that lock you into a single approach, this script lets you combine different indicator types (RSI, WaveTrend, CCI, EMA, SMA) across three separate trend timeframes. The originality comes from the flexibility: you can test whether momentum-based trends (like RSI) work better than moving averages for your timeframe, or experiment with mixing them together. The script also bridges the gap between manual trading and automation by providing visual position values and fill zones that show exactly where signals generate versus where orders execute—critical information most scripts ignore.
Getting Started
For this quick and easy setup example, I built a strategy that is long-only, displays only long positional data and values, and uses a 21 & 55 period exponential moving average for the short and medium-term trend in addition to an 89 period simple moving average for my longer-term outlook. I have set my ATR-based multiplier to 0.75, and have left the fill zone display turned on to help visualize when to set up the built-in alerts for automating my strategy. I have made this the default settings of the script.
Positional Values
GREEN NUMBERS → Entry signal price
YELLOW NUMBERS → Stop loss price
BLUE NUMBERS → Exit signal price
IMPORTANT
I cannot describe how useful it is to use TradingView's built-in Long and Short position tools! The whole reason for this script is that it is as manually friendly as it is automated—especially for backtesting. You can use the long position tool to measure exact profits and losses on individual trades for the strategies you build. This can really help you see clearly if you have built a system with positive expectancy.
Tables
1. Settings Display Table
Displays the trend types that are configurable in the settings panel. Shows if positional values for longs and shorts are currently displayed.
2. Back testing Table
Displays the total amount of long and short entry signals since the first bar of the chart. Additionally, it displays the average amount of bars per trade (time in trade).
Alerts & Automation
There are 4 built-in alerts for automating your strategy to an external server:
1.Long Entries
2.Long Exits
3.Short Entries
4.Short Exits
Since this script uses confirmed bar states for alert generation (to avoid repainting), all alerts and displayed position values (the green, yellow, and blue numbers) will be sent on the closing price. Each alert has a placeholder preset for further customization.
Technical Details
How the trend detection works:
Bullish state triggers when close > all three selected trends
Bearish state triggers when close < all three selected trends
Uses barstate.isconfirmed to prevent repainting
Stop loss calculation:
Long stops: highest_trend - (ATR × multiplier)
Short stops: lowest_trend + (ATR × multiplier)
ATR period is fixed at 20 bars, multiplier is user-adjustable
Entry placement logic:
Long entries execute at the highest value among the three selected trends
Short entries execute at the lowest value among the three selected trends
This ensures entries occur near the support/resistance created by the trend lines
Why calculate all indicators upfront:
The script calculates all five indicator types (EMA, SMA, RSI, CCI, WaveTrend) for all three trend lengths on every bar, then selectively uses the ones you choose in settings. This prevents Pine Script consistency warnings while maintaining flexibility.
The Blessed Trader Ph. | Double EMA + RSI (20) Strategy v1.0📊 The Blessed Trader Ph.
Double EMA + RSI (20) Strategy — v1.0
1️⃣ Strategy Overview
This is a trend-following breakout strategy designed to:
Catch strong directional moves
Filter out weak trades using momentum confirmation
Control risk with ATR-based stop-loss and take-profit
It works best in trending markets such as:
Crypto (BTC, ETH, altcoins)
Forex (major & minor pairs)
Indices (NAS100, US30, SPX)
2️⃣ Indicators Used
🔹 Double EMA Channel
EMA 20 High → Dynamic resistance
EMA 20 Low → Dynamic support
These two EMAs create a price channel:
Break above → bullish strength
Break below → bearish weakness
Unlike a single EMA on close, using High & Low EMAs helps:
Reduce fake breakouts
Confirm real price expansion
🔹 RSI (20)
Measures momentum strength
RSI > 50 → bullish momentum
RSI < 50 → bearish momentum
RSI is used only as a filter, not as an overbought/oversold signal.
🔹 ATR (14)
Measures market volatility
Used to calculate:
Stop Loss (1.5 × ATR)
Take Profit (3.0 × ATR)
This makes the strategy:
Adaptive to any market
Effective across timeframes
3️⃣ Trade Rules (Very Important)
✅ BUY (LONG) Conditions
A buy trade is opened only when all conditions are met:
Price closes above EMA 20 High
RSI (20) is above 50
Candle is confirmed (bar close)
➡️ This means:
“Price has broken resistance with strong momentum.”
❌ SELL / EXIT Conditions
The long trade is closed when:
Price closes below EMA 20 Low
RSI (20) is below 50
➡️ This signals:
“Trend strength is weakening or reversing.”
🛑 Stop Loss & 🎯 Take Profit
Stop Loss = Entry − (ATR × 1.5)
Take Profit = Entry + (ATR × 3.0)
Risk–Reward ≈ 1 : 2
This protects capital and lets winners run.
4️⃣ Why This Strategy Works
✔ Trades with the trend
✔ Avoids ranging markets
✔ Uses confirmation, not prediction
✔ Non-repainting (bar close only)
✔ Works on any timeframe
5️⃣ 🔥 Why Heikin Ashi Candles Improve Results
What are Heikin Ashi candles?
Heikin Ashi candles smooth price action by averaging price data instead of using raw OHLC values.
Benefits for THIS strategy:
✅ 1. Cleaner Trend Detection
Fewer false EMA breakouts
Smoother closes above EMA High
Stronger continuation signals
✅ 2. Reduced Whipsaws
RSI stays more stable
Fewer fake buy signals during consolidation
✅ 3. Better Trade Holding
Keeps you in trends longer
Avoids early exits caused by noise
6️⃣ How to Use Heikin Ashi with This Strategy
On TradingView:
Open your chart
Click Candles
Select Heikin Ashi
Apply the strategy
📌 Important Tip
EMAs & RSI will now be calculated using Heikin Ashi data
This is ideal for trend-following, not scalping ranges
7️⃣ Best Settings & Recommendations
⏱ Timeframes
5m / 15m → Crypto & Forex intraday
1H / 4H → Swing trading
Daily → Position trading
📈 Market Conditions
Best in strong trends
Avoid low-volatility ranges
🎯 Pro Tip
Combine with:
Higher-timeframe trend bias
Session filter (London / New York)
Volume confirmation
8️⃣ Final Advice from
🙏 The Blessed Trader Ph.
“This strategy doesn’t predict — it confirms.
Be patient. Wait for clean Heikin Ashi closes.
Trade less, but trade better.”
Macro PO3 + Sessions + H/L LevelsMacro power of 3
Session highs lows
previous days highs and lows
previous week highs and lows
VSA ProDescription
VSA (Volume Spread Analysis) implements Richard Wyckoff's methodology for reading market manipulation through the relationship between volume, price spread (range), and close position within the bar. Detects climactic action, professional accumulation/distribution, and supply/demand imbalances.
Swiss Army Knife Multi-ToolMulti-Tools is a comprehensive trading indicator suite designed to streamline your chart analysis by combining six essential tools into one powerful, customizable package. Whether you're day trading futures, swing trading stocks, or scalping forex, this indicator provides the key reference points and signals you need—all without cluttering your chart.
🎯 Included Tools
1. Big Round Numbers (BRN)
Automatically plots psychological price levels that institutions and retail traders alike tend to watch. These levels often act as magnets for price or create support/resistance zones.
Customizable increment spacing (100, 50, 25, etc.)
Half and quarter level options
Adjustable number of levels displayed
2. HTF Moving Averages
A complete multi-period moving average suite with trend alignment detection.
5 customizable periods (default: 9, 21, 50, 100, 200)
Multiple MA types: EMA, SMA, WMA, VWMA, HMA, DEMA
Visual ribbon fill option
Golden/Death cross signals
Real-time alignment status in dashboard
3. Stop Finder
Intelligent stop loss calculation using two methodologies:
ATR-Based Stops: Dynamic stops that adapt to current volatility
Swing-Based Stops: Stops placed below recent swing lows (longs) or above swing highs (shorts)
Customizable ATR period and multiplier
4. Target Finder
Risk:Reward-based take profit levels calculated from your stop distance.
Three customizable R:R targets (default: 1R, 2R, 3R)
Visual plot options (circles, lines, step lines)
Real-time calculations in the dashboard
5. Uni Zones (Supply/Demand)
Identifies consolidation zones and potential breakout opportunities.
Basing bar detection based on body-to-range ratio
Breakout signals when price exits the zone
Background highlighting during active basing periods
6. Money Flow Index (MFI)
Volume-weighted momentum oscillator to identify potential exhaustion points.
Overbought/Oversold highlighting
Customizable threshold levels
Background color alerts for extreme readings
📊 Information Dashboard
A clean, customizable dashboard displays real-time values:
MA trend alignment status
Price position relative to 200 MA
Nearest round number and distance
Current ATR value in price and ticks
Suggested stop loss and take profit levels
MFI status and value
Active basing zone detection
Chainbey Ai - Previous Day High & Low📌 Chainbey Ai – Previous Day High & Low (Source Candle)
This indicator automatically plots the Previous Day High (PDH) and Previous Day Low (PDL) on any intraday chart, starting from the exact candle where those levels were formed — not from the new day open. This removes visual gaps and gives a more accurate market structure view.
🔹 Key Features
✅ Accurate PDH & PDL levels based on the full previous trading day
🎯 Lines start from the actual high/low candle (no artificial gap)
🏷️ Optional PDH / PDL labels placed directly on source candles
🟦 Optional range background fill between PDH and PDL
📊 Works perfectly on 5m, 15m, 30m, 1H intraday charts
⚡ Lightweight, clean, and repaint-safe
🧠 Best Use Cases
Liquidity sweep & stop-hunt detection
Breakout vs fake-breakout analysis
Support / resistance from prior session
London & New York session bias confirmation
⚠️ Notes
Levels are calculated using the broker’s daily session
Designed for intraday trading, not daily/weekly charts
Swing Structure (HH,HL,LH,LL)This indicator is designed to help identify major swing highs and swing lows in the market.
For best use pair it with the Daily chart and set both pivot points to 20
Top Performer Dashboard (22 Stocks)added to your chart you can add up to 22 individual stocks, it will rank them from highest to lowest growth over 4 time frames, 1 week, 1 month, 3 month and 6 months. you can sort the results by each time frame.
please enjoy
Ripster Clouds (EMA + MTF)v6 EnhancedThis is the most complete, modern, and user-friendly version of the classic Ripster EMA Clouds indicator yet — fully updated for Pine Script @version
=6 (January 2026 compliant).What It DoesPlots up to 5 local timeframe EMA clouds (8-9, 5-12, 34-50, 72-89, 180-200) with authentic Ripster coloring and transparency.
Adds 3 higher-timeframe (MTF) clouds pulled from a user-defined resolution (default Daily): 50-55, 20-21, and 34-50 — perfect for big-picture bias on intraday charts.
Clouds dynamically change color based on which EMA is on top (bullish green/blue/teal/purple → bearish red/orange/yellow).
Optional slope-colored lines for short/long EMAs.
Clean, grouped inputs with intuitive toggles.
Why This Version Is Better Than Prior OnesFeature
Older Versions (v4/v5 originals & early ports)
This v6 Enhanced Version
Pine Version
v4 or v5 (some no longer fully supported)
Fully v6 compliant – compiles cleanly today
MTF Clouds
Either none or only 2, often no color flip
3 MTF clouds with full color flipping for clear higher-TF bias
Usability
Limited toggles, cluttered defaults
"Show All Clouds & Lines" quick toggle + per-cloud on/off + sensible defaults (clouds 4/5 off)
Visual Clarity
Mixed transparency, sometimes too busy
Optimized transparency & modern color palette (works great in dark/light themes)
Flexibility
Fixed source (usually hl2)
Choice of source (close, hl2, hlc3, ohlc4, etc.)
Alerts
Usually none
Built-in alerts on tightest cloud (8-9) cross – great for momentum entries
Performance
No limits set
max_lines_count, max_labels_count, max_bars_back for smooth operation
Code Quality
Older syntax, scattered inputs
Clean, well-commented, grouped sections – easy to read/modify
Best Use CasesIntraday (10–30 min): Local clouds for entries/pullbacks, MTF for daily bias.
Swing trading (1H, 4H, Daily): Wider clouds + MTF weekly for multi-day holds.
Works beautifully on QQQ, SPY, TSLA, NVDA and any liquid stock/ETF/index.
This script combines the best of the original Ripster local clouds with powerful multi-timeframe context — all in one clean, publish-ready indicator.Copy-paste ready for TradingView public library. Enjoy the edge! Here are examples of how this enhanced version looks on charts (rich layered clouds with MTF overlay):
TIME BOX//@version=5
indicator("Time box", overlay=true)
// 데이터 호출
= request.security(syminfo.tickerid, 'D', [high , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '480', [high , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [high , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '60', [high , low ], lookahead=barmerge.lookahead_on)
// 중간값 계산
d_mid = (d_high + d_low) / 2
h8_mid = (h8_high + h8_low) / 2
h4_mid = (h4_high + h4_low) / 2
h1_mid = (h1_high + h1_low) / 2
// 사용자 옵션
group_daily = "───── 일봉 설정🕛─────"
show_dbox = input.bool(true, "일봉 박스 보이기", group=group_daily)
dbox_color = input.color(color.new(#f5f0f0, 90), "일봉 박스 배경색", group=group_daily)
dborder_color = input.color(color.rgb(248, 248, 248), "일봉 박스 테두리색", group=group_daily)
show_dmid = input.bool(true, "일봉 중간선 보이기", group=group_daily)
dmid_color = input.color(color.rgb(255, 255, 255), "일봉 중간선 색상", group=group_daily)
group_8h = "───── 8시간봉 설정🕗 ─────"
show_h8box = input.bool(true, "8H 박스 보이기", group=group_8h)
h8box_color = input.color(color.new(#e59696, 95), "8H 박스 배경색", group=group_8h)
h8border_color = input.color(color.rgb(235, 207, 207), "8H 박스 테두리색", group=group_8h)
show_h8mid = input.bool(true, "8H 중간선 보이기", group=group_8h)
h8mid_color = input.color(color.red, "8H 중간선 색상", group=group_8h)
group_4h = "───── 4시간봉 설정🕓 ─────"
show_h4box = input.bool(true, "4H 박스 보이기", group=group_4h)
h4box_color = input.color(color.new(#fac104, 95), "4H 박스 배경색", group=group_4h)
h4border_color = input.color(color.rgb(252, 235, 7), "4H 박스 테두리색", group=group_4h)
show_h4mid = input.bool(true, "4H 중간선 보이기", group=group_4h)
h4mid_color = input.color(color.yellow, "4H 중간선 색상", group=group_4h)
group_1h = "───── 1시간봉 설정🕐─────"
show_h1box = input.bool(true, "1H 박스 보이기", group=group_1h)
h1box_color = input.color(color.new(#fd0303, 95), "1H 박스 배경색", group=group_1h)
h1border_color = input.color(color.rgb(250, 5, 5), "1H 박스 테두리색", group=group_1h)
show_h1mid = input.bool(true, "1H 중간선 보이기", group=group_1h)
h1mid_color = input.color(color.rgb(255, 2, 2, 1), "1H 중간선 색상", group=group_1h)
// 박스 및 선 선언
var box dBox = na, var line dMidLine = na
var box h8Box = na, var line h8MidLine = na
var box h4Box = na, var line h4MidLine = na
var box h1Box = na, var line h1MidLine = na
// 박스 생성함수
f_drawBox(res, high, low, bgcol, bcol) =>
startTime = request.security(syminfo.tickerid, res, time , lookahead=barmerge.lookahead_on)
endTime = request.security(syminfo.tickerid, res, time, lookahead=barmerge.lookahead_on)
box.new(startTime, high, endTime, low, bgcolor=bgcol, border_color=bcol, extend=extend.right, xloc=xloc.bar_time)
// 중간선 생성함수
f_drawMid(res, mid, col) =>
startTime = request.security(syminfo.tickerid, res, time , lookahead=barmerge.lookahead_on)
endTime = request.security(syminfo.tickerid, res, time, lookahead=barmerge.lookahead_on)
line.new(startTime, mid, endTime, mid, color=col, style=line.style_dashed, extend=extend.right, xloc=xloc.bar_time)
// 타임프레임 변경 감지
newDay = ta.change(time('D'))
new8H = ta.change(time('480'))
new4H = ta.change(time('240'))
new1H = ta.change(time('60'))
if newDay
if not na(dBox)
box.delete(dBox)
if not na(dMidLine)
line.delete(dMidLine)
if show_dbox
dBox := f_drawBox('D', d_high, d_low, dbox_color, dborder_color)
if show_dmid
dMidLine := f_drawMid('D', d_mid, dmid_color)
if new8H
if not na(h8Box)
box.delete(h8Box)
if not na(h8MidLine)
line.delete(h8MidLine)
if show_h8box
h8Box := f_drawBox('480', h8_high, h8_low, h8box_color, h8border_color)
if show_h8mid
h8MidLine := f_drawMid('480', h8_mid, h8mid_color)
if new4H
if not na(h4Box)
box.delete(h4Box)
if not na(h4MidLine)
line.delete(h4MidLine)
if show_h4box
h4Box := f_drawBox('240', h4_high, h4_low, h4box_color, h4border_color)
if show_h4mid
h4MidLine := f_drawMid('240', h4_mid, h4mid_color)
if new1H
if not na(h1Box)
box.delete(h1Box)
if not na(h1MidLine)
line.delete(h1MidLine)
if show_h1box
h1Box := f_drawBox('60', h1_high, h1_low, h1box_color, h1border_color)
if show_h1mid
h1MidLine := f_drawMid('60', h1_mid, h1mid_color)
// 타임프레임 라벨 추가 함수 (이전 라벨 자동 삭제 추가)
var label dLabel = na
var label h8Label = na
var label h4Label = na
var label h1Label = na
f_drawLabel(yloc, txt, txt_color) =>
label.new(bar_index, yloc, txt, xloc=xloc.bar_index, color=color.new(color.white, 100), style=label.style_none, textcolor=txt_color, size=size.small)
// 새 박스 생성 시 이전 라벨 삭제 및 현재 박스에만 라벨 표시
if newDay and show_dbox
if not na(dLabel)
label.delete(dLabel)
dLabel := f_drawLabel(d_high, 'Daily', dborder_color)
if new8H and show_h8box
if not na(h8Label)
label.delete(h8Label)
h8Label := f_drawLabel(h8_high, '8H', h8border_color)
if new4H and show_h4box
if not na(h4Label)
label.delete(h4Label)
h4Label := f_drawLabel(h4_high, '4H', h4border_color)
if new1H and show_h1box
if not na(h1Label)
label.delete(h1Label)
h1Label := f_drawLabel(h1_high, '1H', h1border_color)
Hybrid Super Trend & Trend Tablea combination of 3 supertrends into 1 trend line, plus 2 ema lines and a timeframe trend table.
byquan GP maxmin+SPtrendGP MaxMin SRSI + SSPtrend
Description
GP MaxMin SRSI + SSPtrend is a composite technical indicator designed to combine momentum context analysis with trend confirmation.
The script integrates:
A multi-source, multi-timeframe Stochastic RSI context layer
A standard Supertrend-based trend switch
A time-based signal validation window to reduce isolated or out-of-context signals
This indicator is intended for market observation and educational analysis, not as a standalone trading system.
Conceptual Overview
The core idea behind this indicator is simple:
Strong trend reversals or continuations are more meaningful when they occur after the market reaches extreme momentum conditions across multiple timeframes.
Instead of triggering signals immediately at overbought or oversold levels, this script:
Detects momentum extremes first
Waits for a structural trend confirmation
Allows signals only within a limited context window
Indicator Structure
1. Multi-Source Stochastic RSI Context
The script computes Stochastic RSI values based on four price sources:
Open
High
Low
Close
From these values, the script extracts:
The minimum momentum reading (deepest oversold condition)
The maximum momentum reading (strongest overbought condition)
This approach aims to reflect momentum dispersion, rather than relying on a single price input.
2. Multi-Timeframe Aggregation
Momentum values are evaluated across multiple higher timeframes (configurable by the user).
The aggregated values are normalized into a unified 0–100 scale, producing:
A composite oversold context
A composite overbought context
These conditions define market context only, not entry signals.
3. Trend Confirmation Using Supertrend
A conventional Supertrend calculation is used to detect trend state changes:
Trend transitions define potential directional shifts
Supertrend acts as the only trigger mechanism
No signal is generated solely from momentum values.
4. Context Validation Window
Once an overbought or oversold context is detected:
A configurable bar-based window is opened
Supertrend signals occurring within this window are considered valid
Signals outside the window are ignored
This design helps avoid delayed or unrelated confirmations.
Signal Logic Summary
BUY context
Oversold momentum detected → Supertrend turns bullish within the allowed window
SELL context
Overbought momentum detected → Supertrend turns bearish within the allowed window
Only signals satisfying both context and confirmation are displayed.
Intended Use
This indicator is designed to be used as:
A confirmation or filtering tool
A context layer alongside other analysis methods
A visual aid for studying market structure and momentum behavior
It is not intended to:
Predict future price movements
Replace risk management
Provide trading advice or signals with guaranteed outcomes
Important Notes
This script does not repaint
All calculations are rule-based and deterministic
Results may vary across symbols and timeframes
Users are encouraged to evaluate the logic independently
Past behavior does not imply future performance.
Attribution & Transparency
This script is a custom integration and modification of commonly used technical concepts such as:
Stochastic RSI
Supertrend
Multi-timeframe analysis
While the underlying ideas are widely known, the combination, parameterization, and signal-filtering logic reflect a personal implementation approach.
Disclaimer
This script is provided for educational and analytical purposes only.
It does not constitute financial advice, investment recommendations, or solicitation to trade.
AnchoredVolume ProDescription
AnchoredVolume builds a real-time volume profile that distributes volume across price levels, identifying the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL). These levels represent where 70% of volume occurred and act as powerful support/resistance zones.






















