Neural Probability Channel [AlgoPoint]The Neural Probability Channel (NPC) is a next-generation volatility and trend analysis tool designed to overcome the limitations of traditional bands (like Bollinger Bands) and smoothing filters (like standard Moving Averages).
Unlike traditional indicators that rely on linear deviation or simple averages, the NPC utilizes a Rational Quadratic Kernel—a concept derived from machine learning regression models—to calculate a non-repainting, highly adaptive baseline (Fair Value). This allows the indicator to distinguish between market noise and genuine trend shifts with superior accuracy.
The volatility bands are dynamically calculated using a hybrid of Standard Error (Mean Deviation) and ATR, ensuring the channels adapt organically to market conditions—expanding during high-impact moves and contracting during consolidation.
How It Works
- The Neural Baseline (Center Line): Instead of a standard Moving Average, the NPC uses a Rational Quadratic Kernel weighting system. This assigns "importance" to price data based on both recency and similarity. It acts as a "Center of Gravity" for price, providing a smoother yet responsive trend detection line without the lag associated with SMAs or EMAs.
Crucially, the math is causal (no lookahead), meaning it does not repaint.
- Adaptive Volatility Bands: The channel width is not fixed. It uses a Hybrid Volatility Model:
- Inner Channel: Represents the "Probability Zone" (approx. 70% confidence). Price staying here indicates a stable trend.
- Outer Channel: Represents "Extreme Deviation" (Statistical Anomalies). When price touches or breaches these outer bands, it is statistically overextended (Overbought/Oversold).
Signal Generation:
- Reversion Signals: Generated when price breaches the Outer Bands and closes back inside. This suggests a "Snap-back" or Mean Reversion event.
- Trend Confirmation: The color of the baseline and the fill zones changes based on the slope of the Kernel, giving an instant visual read on market bias.
How to Use It
- Mean Reversion Strategy: Look for price action extending beyond the Outer Bands (Thinner lines). If price leaves a wick and closes back inside, it signals a high-probability reversal toward the Neural Baseline.
- Green Signal: Potential Long (Reversal from Lows).
- Red Signal: Potential Short (Reversal from Highs).
- Trend Following: Use the Neural Baseline (Thick Center Line) as a dynamic support/resistance level.
If price is holding above the baseline and the cloud is green, the trend is Bullish.
If price is holding below the baseline and the cloud is red, the trend is Bearish.
- Squeeze Detection: When the Inner and Outer bands compress significantly, it indicates low volatility and often precedes an explosive breakout.
Settings
- Lookback Window: Determines the depth of the Kernel analysis.
- Smoothness (Bandwidth): Higher values create a smoother baseline (better for trends), while lower values make it more reactive (better for scalping).
- Regression Alpha: Controls the weight distribution of the Kernel.
- Channel Multipliers: Adjust the width of the Inner and Outer bands to fit your specific asset's volatility profile.
Indikatoren und Strategien
Clusters Volume Profile [LuxAlgo]The Clusters Volume Profile indicator utilizes K-Means clustering to categorize historical price action into distinct groups and generates individual volume profiles for each detected cluster. This tool provides a unique perspective on volume distribution by isolating price behaviors based on proximity rather than strictly chronological order.
🔶 USAGE
The indicator identifies "clusters" of price activity within a user-defined lookback period. Each cluster is assigned a unique color and its own horizontal volume profile, allowing traders to see where liquidity is most concentrated within specific price regimes.
🔹 Identifying Institutional Zones
Traders can use the Point of Control (POC) of high-volume clusters to identify significant institutional interest. Because the K-Means algorithm groups price action by density rather than time, a cluster's POC often represents a "fair value" level where significant exchange occurred. These dashed POC lines frequently act as robust support or resistance levels when price returns to them in the future.
🔹 Market Regime Detection
By observing the vertical distribution and overlap of clusters, traders can identify market phases. Overlapping clusters with high volume often indicate accumulation or distribution phases (sideways markets), whereas distinct, vertically separated clusters with lower volume gaps between them suggest a trending environment. A shift from multiple overlapping clusters to a new, isolated cluster can signal a breakout or the start of a new trend.
🔹 Precision Entry & Exits
Cluster boundaries and POC lines provide concrete levels for trade management. An entry can be sought when price retests a high-volume cluster POC, while stops can be placed outside the total price range of that specific cluster (the area covered by its volume profile). Conversely, targets can be set at the POC of the next major cluster above or below current price action.
🔹 Volume Conviction
The tool provides specific volume metrics that allow traders to gauge conviction. By comparing the "Total" volume label of one cluster against another, a trader can determine which price regime had more participation. A breakout into a price zone with a high-volume cluster suggests stronger conviction and a higher probability of the level holding compared to a zone with low total volume.
🔶 DETAILS
The script employs a K-Means clustering algorithm. This process involves:
Initializing "centroids" across the price range of the lookback period.
Iteratively assigning each price bar to the nearest centroid based on the HLC2 (median) price.
Recalculating centroids based on the volume-weighted average price of the assigned bars.
Finalizing assignments after the specified number of iterations to ensure stable clusters.
By separating price action into these clusters, the tool helps identify high-interest zones that might be obscured by a single, traditional Volume Profile.
🔶 SETTINGS
🔹 Clustering Settings
Lookback Period: Determines the number of recent bars used for the clustering analysis.
Number of Clusters: Sets how many distinct price groups the algorithm should attempt to find (2 to 10).
K-Means Iterations: Controls the number of times the algorithm refines the cluster centers. Higher values can lead to more stable results.
🔹 Volume Profile Settings
Rows per Cluster VP: Defines the vertical resolution (number of bins) for each individual cluster's profile.
Max VP Width (Bars): Sets the maximum horizontal length of the volume profile histograms.
VP Offset: Adjusts the horizontal spacing between the current bar and the start of the volume profiles.
Highlight Price Dots: Toggles the visibility of the colored dots on the price action to identify cluster assignments.
Dot Size: Adjusts the size of the cluster assignment dots on the chart, ranging from tiny to huge.
Polynomial Regression Clustering [LuxAlgo]The Polynomial Regression Clustering indicator utilizes K-Means clustering to categorize historical price data into discrete levels and fits polynomial regression curves to each identified cluster.
This tool allows traders to visualize non-linear trends within specific price regimes, providing a unique perspective on support, resistance, and price momentum.
🔶 USAGE
The indicator identifies "K" number of clusters based on the vertical distribution of price over a user-defined lookback period. Each cluster represents a group of bars that share similar price levels, and a polynomial regression line is calculated to represent the localized trend for that specific group.
🔹 Cluster Identification
The script groups price action into color-coded dots. By default, it uses the HL2 (Average price) to determine which cluster a bar belongs to. This is particularly useful for identifying historical value areas where price has spent a significant amount of time.
🔹 Polynomial Fitting
Unlike standard linear regression, which produces a straight line, the polynomial regression curves can bend to fit the data more accurately.
A Polynomial Degree of 1 will result in a standard linear regression (straight lines). A Polynomial Degree of 2 or higher allows for curves that capture parabolic moves or cyclical swings within each cluster.
🔹 Future Projections
The current active cluster (the one containing the most recent price point) can be projected into the future. This allows you to see where the localized trend for the current price regime is heading based on the mathematical fit of historical data.
🔶 DETAILS
🔹 K-Means Algorithm
The script uses an iterative K-Means algorithm to find the optimal centroids (center points) for the price levels. It calculates the distance of each price point to the nearest centroid and refines the centroid position until the clusters are stable or the maximum iterations are reached.
🔹 Regression Logic
Once price points are assigned to a cluster, the script solves for the coefficients of a polynomial equation that minimizes the distance between the line and the cluster's data points. To ensure numerical stability with higher degrees, the horizontal (time) axis is normalized before performing matrix operations.
🔶 SETTINGS
🔹 K-Means
Number of Clusters (K): Defines how many price levels the indicator should look for. Higher values create more granular levels. Lookback Period: The number of recent bars used to perform the clustering and regression calculation. Max Iterations: The maximum number of refinement steps for the K-Means algorithm.
🔹 Regression
Polynomial Degree: Controls the "bend" of the regression lines. Higher degrees allow for more complex curves. Extend All Fits to Current Bar: When enabled, the regression lines for all historical clusters are extended to the rightmost edge of the chart. Project Current Cluster into Future: Extends the current regime's regression line into the future (empty space) using a dashed line.
🔹 Visual Style
Show Regression Lines: Toggles the visibility of the polynomial curves. Show Cluster Dots: Toggles the visibility of the colored dots on each price bar. Dot Size: Adjusts the size of the cluster dots. Cluster Colors: Customizable colors for each of the identified clusters.
Elliott Wave Auto S🌊 ELLIOTT WAVE AUTO — Automatic Elliott Wave Detection
═══════════════════════════════════════════════════════════════════
📜 THE HISTORY
Ralph Nelson Elliott (1871-1948), an American accountant, spent his forced retirement analyzing 75 years of Dow Jones data... by hand. In 1938, he published "The Wave Principle", revealing that markets move in repetitive patterns of 5 impulse waves followed by 3 corrective waves (A-B-C).
What's often forgotten: Elliott worked primarily on MONTHLY and WEEKLY timeframes. A complete cycle could take months, even years. It was a strategy of PATIENCE, not scalping.
═══════════════════════════════════════════════════════════════════
🎯 OUR APPROACH
This indicator attempts to stay as close as possible to Elliott's original method. The algorithm uses Pivot Point detection (ta.pivothigh / ta.pivotlow) to objectively identify tops and bottoms.
Unlike manual counting where 3 analysts give 3 different results, this method is:
✅ Mathematical — No subjective interpretation
✅ Reproducible — 100 traders = 1 single count
✅ Automatic — Real-time detection
✅ Open source — Nothing hidden, study it freely
═══════════════════════════════════════════════════════════════════
⛔ ORANGE LABELS — INVALIDATIONS
You will sometimes notice ORANGE labels with the ⛔ symbol on your chart. These are not errors! They indicate that a fundamental Elliott rule has been violated, invalidating the current cycle.
Back in his time, Elliott established strict rules to validate a count. If any of these rules is broken, the cycle is no longer valid and we must start looking for a new starting point.
Here are the 3 fundamental rules applied by this indicator:
┌─────────────────────────────────────────────────────────────────┐
│ 📖 RULE 1: Wave 2 NEVER retraces 100% of Wave 1 │
│ │
│ If Wave 2 price exceeds the starting point of Wave 1, │
│ it wasn't a true Wave 1. │
│ → The indicator then reverses the trend (BULL ↔ BEAR) │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ 📖 RULE 2: Wave 3 is NEVER the shortest │
│ │
│ Wave 3 is supposed to be the most powerful. If it's shorter │
│ than Wave 1 AND Wave 5, the count is invalid. │
│ → Orange label "5 ⛔" displayed, cycle cancelled │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ 📖 RULE 3: Wave 4 NEVER overlaps Wave 1 territory │
│ │
│ In an uptrend: Wave 4 low cannot drop below Wave 1 high. │
│ In a downtrend: Wave 4 high cannot exceed Wave 1 low. │
│ → Orange label "4 ⛔" displayed, cycle cancelled │
└─────────────────────────────────────────────────────────────────┘
💡 These invalidations are NORMAL and part of the method. They ensure that only cycles perfectly respecting Elliott's theory are counted. That's why you'll see few complete cycles — exactly like in Elliott's time.
═══════════════════════════════════════════════════════════════════
📊 HOW TO USE IT
▸ Wave 1: Cycle start detected. Watch, don't act.
▸ Wave 2: Potential ENTRY zone. The retracement is over,
Wave 3 (the most powerful) should follow.
▸ Wave 3: The most powerful! Never trade against a Wave 3.
Let your profits run.
▸ Wave 4: Second potential ENTRY zone for those who missed Wave 2.
▸ Wave 5: Last impulse. Prepare your EXIT.
The impulse cycle is ending.
▸ Waves A-B-C: Correction phase. Patience recommended.
Wait for the end of C for the next cycle.
▸ Orange Label ⛔: Rule violated, cycle invalidated.
The indicator starts looking for a new cycle.
═══════════════════════════════════════════════════════════════════
🔔 TOGGLEABLE ALERTS
Each wave has its own alert, individually toggleable in the settings:
🌊 Wave 1 — Cycle start
🌊 Wave 2 — Potential entry zone
🌊 Wave 3 — The most powerful
🌊 Wave 4 — Potential entry zone
🌊 Wave 5 — Last impulse
🔄 Wave A — Correction start
🔄 Wave B — Corrective bounce
🔄 Wave C — Correction end
✅ Complete cycle
💡 Tip: Enable only the alerts that match your strategy. For example, only "Wave 2" and "Wave 4" for entries, and "Wave 5" for exits.
═══════════════════════════════════════════════════════════════════
📏 SETTINGS
▸ Move Size:
• Small = More signals, more noise (scalping)
• Medium = Balanced (intraday/swing) ← Recommended
• Large = Fewer signals, more reliable (position)
Note: Sensitivity automatically adjusts based on your
timeframe for optimal results.
▸ Labels: Display 1, 2, 3, 4, 5, A, B, C on the chart
▸ Lines: Visually connect the waves
▸ Fibonacci Ratios: Display each wave's ratio (optional)
▸ Label Size: Small / Normal / Large per your preference
═══════════════════════════════════════════════════════════════════
🎨 COLOR CODE
🟢 Green = Bullish trend (BULL)
🔴 Red = Bearish trend (BEAR)
🟣 Pink/Purple = Corrective waves (A, B, C)
🟠 Orange = Invalidation (Elliott rule violated)
═══════════════════════════════════════════════════════════════════
⚠️ DISCLAIMER
Like in Elliott's time, complete 1-2-3-4-5-A-B-C cycles are RARE. This is normal and intentional.
The Elliott Wave method is a patience strategy that rewards those who know how to wait for perfect setups. The many invalidations (orange labels) prove that the indicator strictly respects the original rules.
If you're looking for dozens of signals per day, this method is probably not for you. But if you value quality over quantity, welcome.
Happy trading! 🌊
Volume Surge Breakout + TP/SL█ OVERVIEW
“Volume Surge Breakout + TP/SL” is a breakout indicator designed to capture strong momentum moves driven by sudden increases in trading volume and decisive price action. Instead of focusing on classical consolidation structures, the indicator reacts to volume-based impulses combined with candle strength, identifying moments when the market shifts out of short-term balance.
After a confirmed breakout, the indicator automatically plots the entry level, Stop Loss, and up to three Take Profit targets, making it a complete momentum-trading tool.
█ CONCEPTS
Strong market moves often begin with a sudden surge in volume, signaling increased participation and commitment from market participants. This indicator detects such moments by combining three core conditions:
- volume significantly above its average,
- a candle body clearly larger than the previous one,
- directional price close confirming bullish or bearish intent.
When these conditions are met, a momentum zone (box) is drawn around the signal candle. The box extends forward until a breakout occurs, which then triggers the entry signal and full TP/SL projection. A breakout in the opposite direction invalidates the zone, filtering out false impulses.
█ FEATURES
Volume filter
- volume > volume SMA × Volume Threshold (default 2.0×)
- adjustable volume average length (Volume SMA Length)
Candle strength filter
- current candle body > previous candle body × Body Multiplier
- removes weak and random price moves
Dynamic impulse zones (boxes)
- green for LONG, red for SHORT
- semi-transparent fill with colored borders
- boxes extend to the right until a breakout occurs
- opposite breakout deletes the zone
Breakout signals
- small green triangles below the bar (LONG)
- small red triangles above the bar (SHORT)
- signals appear only after a valid breakout from the zone
Volume strength display
- optional label showing the volume multiplier (e.g. 2.35×)
- color-coded to match trade direction
Automatic Take Profit & Stop Loss
- two SL calculation modes:
• ATR-based (default 1.5× ATR)
• Percentage-based from entry price
- up to 3 Take Profit levels based on Risk-to-Reward ratios
- independent visibility toggles for SL, TP1, TP2, TP3
- visual fills:
• red – risk zone
• green – reward zone
Single active trade logic
- TP/SL levels are locked once SL or the furthest TP is hit
- lines terminate exactly at the exit bar
Alerts
- LONG – bullish volume impulse
- SHORT – bearish volume impulse
█ HOW TO USE
Add the indicator to your TradingView chart → Indicators → search for
“Volume Surge Breakout + TP/SL”.
After each valid breakout, you will see:
- a volume impulse box,
- a breakout triangle,
- the entry line,
- SL and TP1–TP3 levels,
- a visual risk-to-reward projection.
Key settings to optimize:
Volume
- Volume SMA Length – averaging period for volume
- Volume Threshold – minimum volume multiplier
- Body Multiplier – required candle body expansion
TP / SL
- choose SL mode: ATR or Percentage
- ATR period and multiplier
- RR values for TP1, TP2, TP3
Signal interpretation:
- Green box + green triangle + TP above price = LONG
- Red box + red triangle + TP below price = SHORT
- No breakout = no trade (box remains observational)
█ APPLICATIONS
- Momentum and breakout trading across all timeframes
- Best used as an entry trigger, not as a standalone strategy
Recommended confluence-based approach:
The highest-quality signals occur when the breakout aligns with broader market context:
- higher-timeframe trend agreement
- breakout signal generated by the indicator
- increasing momentum (e.g. RSI, MACD, custom momentum oscillators)
- no major resistance/support levels directly in front of price
- volume impulse confirming market participation
Example:
If the market is in an uptrend, a LONG breakout signal appears, momentum is accelerating, and no nearby resistance is present, the trade is worth considering, using the automatically projected RR levels.
- Aggressive two-sided trading is possible but requires stricter signal selection
- Higher RR setups (e.g. TP3 = 3–5× SL) with lower win rates often outperform over time
█ NOTES
This indicator works only on markets with real volume data (e.g. stocks, futures, many crypto markets).
On instruments without real volume (such as some CFD indices), signals may be unreliable or the indicator may not function correctly.
Always test and optimize parameters for the specific instrument and timeframe. The indicator intentionally does not interpret market structure — its sole purpose is to identify clean volume-driven impulses.
ATR Structure Trail Pro & Range Filter (v6)📌 ATR Structure Trail Pro & Range Filter (v6)
Multi-purpose trend-following and consolidation detection tool
🔍 Overview
This indicator combines structure pivots, an ATR-based trailing stop, range detection, and clean visual signals to identify trend shifts and potential trade zones.
It is designed for traders who want simple, clean structure reading without unnecessary chart noise.
This indicator does not guarantee profit and is intended for educational and analytical purposes only, serving as a visual aid for reading price action.
⚙️ Main Components
1️⃣ Structure Pivot Flip (Trend Change Detection)
The indicator uses Pivot High / Pivot Low structure to detect when price creates:
Higher High → BUY bias
Lower Low → SELL bias
When a structural flip occurs:
a green arrow appears (potential bullish setup)
or a red arrow appears (potential bearish setup)
These arrows are not trade signals, but visual markers highlighting a shift in market context.
2️⃣ ATR Trail Stop (Adaptive Trend Line)
The ATR trail line automatically adapts to market volatility:
green during bullish phases
red during bearish phases
The ATR multiplier determines how far the dynamic trail is placed relative to price.
The trail line is not a guaranteed exit level — it acts as a dynamic structural reference.
3️⃣ Range/Box Zones (Consolidation Filter)
When the indicator detects that price is entering a tight consolidation range based on ATR and recent volatility, it draws a box zone:
blue in bullish context
purple in bearish context
Range zones indicate low-risk/no-trade areas where entries are typically avoided according to price action logic.
🎯 Trading Logic (Non-Signaling)
This indicator is not a trading system.
It visually highlights:
✔ structure
✔ trend
✔ volatility
✔ consolidation
✔ potential reversals
Users make trading decisions independently of these visual elements.
🧩 Inputs & Customization
You can fully customize:
ATR length & multiplier
Pivot sensitivity
Box fill and border colors
ATR trail color, width, and style (solid/dashed/dotted)
Visibility of all components individually
The indicator works across all timeframes and instruments.
💡 How to Use
Use arrows as informational markers of structure change
Use the ATR trail as a dynamic guide for current trend
Use range boxes to avoid entries during consolidation
Combine it with your own price action analysis, EMA/Kijun lines, session opens, or volume levels
⚠️ Important Notes
This indicator provides no performance guarantees
Not financial advice or a trading signal
Users are responsible for their own testing and application
Intended strictly for educational and analytical use in compliance with TradingView’s rules
📬 Author Notes
If you find this indicator useful, feel free to leave a comment or suggestion for future improvements.
All inputs are open for expansion and further development.
Level 1 Gold - MAs & BiasLevel 1 Gold - MAs & Bias
A clean trend bias indicator designed for the Level 1 Gold trading strategy.
Features:
EMA 5 (Orange) - Fast exponential moving average for momentum confirmation
SMA 21 (Blue) - Slow simple moving average for trend direction
Trend Bias Detection - Tracks the last EMA5/SMA21 crossover to determine trade direction:
EMA5 crosses ABOVE SMA21 → "BUYS ONLY" (only take long trades)
EMA5 crosses BELOW SMA21 → "SELLS ONLY" (only take short trades)
Session Filter - Highlights invalid trading sessions (default: 06:00-16:00 UK time, avoids Monday AM and Friday PM)
Crossover Markers - Green Circle (bullish cross), Red Circle (bearish cross)
How to Use:
Wait for an EMA5/SMA21 crossover to establish bias
Only take trades in the direction of the bias
Avoid trading during shaded (invalid) session times
Look for breakouts across your horizontal support/resistance levels that align with the bias
Settings:
Moving average lengths (default: EMA 5, SMA 21)
Session times and filters (customizable)
Toggle visuals on/off
Adjustable colors
Best Used On: 1H timeframe for Gold (XAUUSD)
Put Spread Signals Daily v5 (NO ta.sum)//@version=5
indicator("Put Spread Signals Daily v5 (NO ta.sum)", overlay=true)
// Inputs
ma20Len = input.int(20, "MA20")
ma50Len = input.int(50, "MA50")
ma200Len = input.int(200, "MA200")
pullbackPct = input.float(0.01, "Pullback near MA20 (1%=0.01)", step=0.005)
minRedDays = input.int(1, "Min red days (last 5)", minval=0, maxval=5)
stopBelow200Pct = input.float(0.005, "Stop below MA200 %", step=0.0025)
// MAs
ma20 = ta.sma(close, ma20Len)
ma50 = ta.sma(close, ma50Len)
ma200 = ta.sma(close, ma200Len)
// Trend + pullback
bullTrend = close > ma50 and close > ma200 and ma50 > ma200
nearMA20 = close <= ma20 * (1 + pullbackPct)
// Red candle count last 5 bars (NO ta.sum)
red0 = close < open ? 1 : 0
red1 = close < open ? 1 : 0
red2 = close < open ? 1 : 0
red3 = close < open ? 1 : 0
red4 = close < open ? 1 : 0
redCount = red0 + red1 + red2 + red3 + red4
hasMinRed = redCount >= minRedDays
// Bounce
bounce = close > open and close > close
// Signals
enter = bullTrend and nearMA20 and hasMinRed and bounce
takeProfit = ta.crossover(close, ma20)
stopOut = close < ma200 * (1 - stopBelow200Pct)
// Plots
plot(ma20, "MA20", linewidth=2)
plot(ma50, "MA50", linewidth=2)
plot(ma200, "MA200", linewidth=2)
plotshape(enter, title="ENTER", style=shape.labelup, location=location.belowbar, text="ENTER", size=size.small)
plotshape(takeProfit, title="EXIT_TP", style=shape.labeldown, location=location.abovebar, text="TP", size=size.small)
plotshape(stopOut, title="EXIT_STOP", style=shape.labeldown, location=location.abovebar, text="STOP", size=size.small)
// Alerts
alertcondition(enter, title="ENTER Alert", message="ENTER: Trend up + pullback near MA20 + bounce. Consider selling put credit spread (30-45 DTE).")
alertcondition(takeProfit, title="EXIT TP Alert", message="EXIT TP: Price reclaimed MA20. Consider taking profit.")
alertcondition(stopOut, title="EXIT STOP Alert", message="EXIT STOP: Close below MA200 threshold. Consider closing/rolling.")
CODY BOT REVERSALFree Telegram Trading Community t.me
What Is CODY BOT?
CODY BOT is an easy-to-use trading tool that spots potential price reversals on your chart. It shows arrows when it detects certain candlestick patterns that often happen before the market changes direction.
How It Works
Green "Buy" Arrow Appears When:
Current candle closes higher than yesterday's open
Yesterday's candle closed lower than its own open
This pattern often signals a possible upward move coming
Red "Sell" Arrow Appears When:
Current candle closes lower than yesterday's open
Yesterday's candle closed higher than its own open
This pattern often signals a possible downward move coming
What You'll See on Your Chart
Green up arrows below candles (buy signals)
Red down arrows above candles (sell signals)
You'll also get alerts if you set them up
Best Ways to Use It
Good For:
Day trading (5-minute to 1-hour charts)
Swing trading (4-hour to daily charts)
All markets: stocks, forex, crypto
Spotting quick trend changes
Tips for Better Results:
Wait for the candle to close before trading
Use with support/resistance lines for confirmation
Add volume to check if others are trading too
Start with paper trading to practice
Always use stop-loss to protect yourself
What Makes It Special
No lag - signals appear immediately
Easy to understand - just follow the arrows
Works on any timeframe
Free to use
No complicated settings
Quick Start Guide
Add CODY BOT to your TradingView chart
Watch for green/red arrows at candle close
Click the alert bell if you want notifications
Test with fake money first
Combine with what you already know about trading
Remember: No indicator is perfect. Use CODY BOT as one tool in your toolbox, not the only tool. Always manage your risk and never trade more than you can afford to lose.
Perfect for: Traders who like simple, clear signals without complicated math.
Precision Entry Systementry system for smc and ict with order blocks and fvgs to make sniper entries and precision and quick execution
Statistical Range and Daily Range - MaePla PakkakeawSupport & Resistance Box (MaePla Pakkakeaw)
Major support and resistance levels are drawn approximately 500 points apart.
These are called Statistical Lines.
Statistical support and resistance levels are drawn at price levels ending in 0 and 5.
Daily Range
(Start the Day on H4 Timeframe)
At 7:00 AM, check the H4 candle close.
Identify the price level closest to a statistical line as the minor support or resistance.
The next statistical line 500 points above becomes the upper price range.
The next statistical line 500 points below becomes the lower price range.
Dual Range Volume Profile█ OVERVIEW
“Dual Range Volume Profile” is a volume analysis indicator that displays two independent volume profiles simultaneously:
- Main Profile – a profile built from the entire visible chart range
- Pivot Profile – a profile calculated from the most recent significant pivot (swing high / swing low)
This allows the trader to see at the same time:
- where the market accumulated volume in the broader structural context,
- and where price equilibrium is forming within the current move.
The indicator draws a volume-by-price histogram, POC, Value Area (VA), and an information table with key levels. It combines macro and micro context in one tool.
█ CONCEPTS
Volume Profile shows at which price levels the highest trading activity occurred — in other words, where the market actually built positions.
Main Profile
This profile is calculated from the entire visible chart range. It provides a broad context:
- historical market balance
- areas of position building
- levels that often act as price magnets
It represents the structural balance of the market.
Pivot Profile
This profile begins at the most recent confirmed pivot (swing high / swing low). It shows the volume distribution inside the current impulse and helps evaluate:
- where new positions are being built
- whether the move is supported by volume
- where a new balance is forming
It represents the context of the current move.
POC – Point of Control
The price level with the highest volume. It often acts as:
- the center of balance
- a price magnet
- a reaction level during retests
Value Area (VA)
The price range where a defined percentage of total volume occurred. VA represents the area of balance between buyers and sellers.
█ FEATURES
- Two volume profiles working simultaneously (global + pivot-based)
- Separate POC for each profile
- Value Area displayed as a box and VA High / VA Low lines
- Configurable VA percentage
- Automatic pivot detection with “Last PH/PL” label
- Volume gradient from low to high
- Full visual customization and an info table with levels
█ HOW TO USE
The Main Profile helps determine where price stands relative to the broader market balance — whether it trades above, inside, or below value.
The Pivot Profile shows how volume is distributed within the current move and whether the impulse is truly supported by market activity. Retests of the pivot POC often behave as local support or resistance.
█ APPLICATIONS
In practice, the indicator is best used for working with price reaction zones and evaluating move quality.
POC and Value Area boundaries often behave like dynamic support and resistance because they represent price levels where the market spent the most activity and participation. After a strong impulse, price frequently returns to the pivot POC or VA boundaries, where the market decides between continuation or a return to balance.
Value Area can also serve a different role — as a compression zone before a move. When price consolidates inside VA for an extended period, the market is in balance. A breakout beyond VA signals a shift from balance to imbalance (volatility expansion). If the breakout is followed by a retest of the VA boundary from the outside, accompanied by increased volume, this often creates an opportunity to enter in the breakout direction.
Particularly strong zones appear when multiple contexts align: Main POC is close to Pivot POC, both Value Areas overlap, and the level coincides with market structure (swings, OB, FVG, higher timeframe levels, etc.). This combination of structure and two layers of volume creates areas with increased probability of price reaction.
The indicator also helps assess move quality — if price moves aggressively but the Pivot Profile does not build meaningful volume, the move may be weak and prone to pullbacks.
█ NOTES
When the chart is heavily zoomed in, both profiles may appear very similar. This can lead to the false conclusion that a zone is exceptionally strong, while it is only the effect of a narrowed data range. Profiles should always be interpreted from a broader perspective, aligned with your trading horizon.
The indicator is not suitable for markets where volume does not reflect real traded activity (e.g., tick volume, synthetic volume, or aggregated data without true liquidity). The quality of volume data directly affects the quality of the levels.
There are also markets where no real volume data exists at all. In such environments, the indicator cannot function properly, as its calculations depend entirely on meaningful volume information.
Institutional Reload Zones //@version=5
indicator("MSS Institutional Reload Zones (HTF + Sweep + Displacement) ", overlay=true, max_boxes_count=20, max_labels_count=50)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Inputs
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
pivotLeft = input.int(3, "Pivot Left", minval=1)
pivotRight = input.int(3, "Pivot Right", minval=1)
htfTf = input.timeframe("60", "HTF Timeframe (60=1H, 240=4H)")
emaFastLen = input.int(50, "HTF EMA Fast", minval=1)
emaSlowLen = input.int(200, "HTF EMA Slow", minval=1)
atrLen = input.int(14, "ATR Length", minval=1)
dispMult = input.float(1.2, "Displacement ATR Mult", minval=0.5, step=0.1)
closeTopPct = input.float(0.25, "Close within top %", minval=0.05, maxval=0.5, step=0.05)
sweepLookbackBars = input.int(60, "Sweep lookback (bars)", minval=10, maxval=500)
sweepValidBars = input.int(30, "Sweep active for N bars", minval=5, maxval=200)
cooldownBars = input.int(30, "Signal cooldown (bars)", minval=0, maxval=300)
extendBars = input.int(200, "Extend zones (bars)", minval=20)
showOB = input.bool(true, "Show Pullback OB zone")
showFib = input.bool(true, "Show 50-61.8% zone")
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// HTF trend filter
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
htfClose = request.security(syminfo.tickerid, htfTf, close)
htfEmaFast = request.security(syminfo.tickerid, htfTf, ta.ema(close, emaFastLen))
htfEmaSlow = request.security(syminfo.tickerid, htfTf, ta.ema(close, emaSlowLen))
htfBull = (htfEmaFast > htfEmaSlow) and (htfClose >= htfEmaFast)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// LTF structure pivots
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
atr = ta.atr(atrLen)
ph = ta.pivothigh(high, pivotLeft, pivotRight)
pl = ta.pivotlow(low, pivotLeft, pivotRight)
var float lastSwingHigh = na
var float lastSwingLow = na
if not na(ph)
lastSwingHigh := ph
if not na(pl)
lastSwingLow := pl
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Sweep filter (simple + robust)
// “sweep” = breaks below lowest low of last N bars and reclaims (close back above that level)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
sweepLevel = ta.lowest(low, sweepLookbackBars)
sweepNow = (low < sweepLevel) and (close > sweepLevel)
var int sweepUntil = na
if sweepNow
sweepUntil := bar_index + sweepValidBars
sweepActive = not na(sweepUntil) and (bar_index <= sweepUntil)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Displacement filter
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
cRange = high - low
closeTopOk = close >= (high - cRange * closeTopPct)
dispOk = (cRange >= atr * dispMult) and closeTopOk and (close > open)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// MSS bullish (filtered)
// base MSS: close crosses above last swing high
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
baseMssBull = (not na(lastSwingHigh)) and ta.crossover(close, lastSwingHigh)
var int lastSignalBar = na
cooldownOk = na(lastSignalBar) ? true : (bar_index - lastSignalBar >= cooldownBars)
mssBull = baseMssBull and htfBull and sweepActive and dispOk and cooldownOk
if mssBull
lastSignalBar := bar_index
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Find last bearish candle before MSS for OB zone
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
f_lastBearish(_lookback) =>
float obH = na
float obL = na
int found = 0
for i = 1 to _lookback
if found == 0 and close < open
obH := high
obL := low
found := 1
= f_lastBearish(30)
// Impulse anchors for fib zone (use lastSwingLow to current high on MSS bar)
impLow = lastSwingLow
impHigh = high
fib50 = (not na(impLow)) ? (impLow + (impHigh - impLow) * 0.50) : na
fib618 = (not na(impLow)) ? (impLow + (impHigh - impLow) * 0.618) : na
fibTop = (not na(fib50) and not na(fib618)) ? math.max(fib50, fib618) : na
fibBot = (not na(fib50) and not na(fib618)) ? math.min(fib50, fib618) : na
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Boxes (delete previous, draw new) — SINGLE LINE calls only
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
var box obBox = na
var box fibBox = na
if mssBull
if showOB and not na(obHigh) and not na(obLow)
if not na(obBox)
box.delete(obBox)
obBox := box.new(left=bar_index, top=obHigh, right=bar_index + extendBars, bottom=obLow, bgcolor=color.new(color.gray, 82), border_color=color.new(color.gray, 30))
if showFib and not na(fibTop) and not na(fibBot)
if not na(fibBox)
box.delete(fibBox)
fibBox := box.new(left=bar_index, top=fibTop, right=bar_index + extendBars, bottom=fibBot, bgcolor=color.new(color.teal, 85), border_color=color.new(color.teal, 35))
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Visuals
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
plotshape(mssBull, title="MSS Bull (Filtered)", style=shape.labelup, text="MSS✔", size=size.tiny, color=color.new(color.green, 0), textcolor=color.white, location=location.belowbar)
plot(htfEmaFast, title="HTF EMA Fast", color=color.new(color.orange, 80))
plot(htfEmaSlow, title="HTF EMA Slow", color=color.new(color.purple, 80))
stelaraX - Supply & Demand ZonesstelaraX – Supply & Demand Zones
stelaraX – Supply & Demand Zones is a price action indicator designed to automatically draw supply and demand zones based on pivot structure and candle confirmation. The script highlights potential institutional reaction areas and extends zones forward for easy planning and level-based analysis.
For advanced AI-based chart analysis and automated zone interpretation, visit stelarax.com
Core logic
The indicator detects zones using pivot logic with a user-defined lookback period.
Supply zones are created when:
* a pivot high is confirmed
* the candle at the pivot reference point is bearish (close below open)
Demand zones are created when:
* a pivot low is confirmed
* the candle at the pivot reference point is bullish (close above open)
Zone boundaries are defined using the pivot candle range:
* supply zone uses the pivot high as the top and the candle body high as the bottom
* demand zone uses the pivot low as the bottom and the candle body low as the top
Visualization
The script draws zones directly on the chart using extended boxes:
* supply zones are displayed in red tones
* demand zones are displayed in green tones
Each zone is extended forward by a configurable number of bars to keep the level visible for future price interaction. Zone colors and border styles are fully customizable.
The indicator maintains a clean chart by limiting the total number of active zones for both supply and demand.
Use case
This indicator is intended for:
* identifying key supply and demand reaction zones
* level-based trading and confluence analysis
* planning entries and exits around structural areas
* mapping potential reversal and continuation locations
* multi-timeframe zone tracking
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Outlier Resistant Moving AverageOutlier Resistant Moving Average (ORMA) | MisinkoMaster
Outlier Resistant Moving Average (ORMA) is a trend-following moving average designed to reduce the impact of abnormal price spikes while preserving responsiveness to real market moves. The goal is to provide a smoother and more stable trend reference that remains usable even during volatile or erratic price behavior.
Unlike traditional moving averages that react strongly to sudden price shocks, ORMA adapts its behavior to volatility conditions, helping traders follow trends without being constantly misled by temporary price extremes.
Key Features
Moving average designed to resist distortion from price outliers
Adaptive smoothing behavior that reacts to volatility conditions
Optional ATR-based dynamic bands for trend confirmation
Multiple moving average types supported as the calculation base
Flexible trend detection logic options
Automatic trend coloring and signal labeling
Candle coloring for intuitive trend visualization
How It Works
ORMA builds upon a selectable base moving average and modifies its behavior to reduce the influence of abnormal price movements. Instead of reacting equally to all price changes, the calculation adjusts its responsiveness according to changing volatility conditions.
When market volatility expands, the indicator becomes more conservative, preventing sudden spikes from distorting the average. During calmer conditions, responsiveness increases, allowing the average to track price action more closely.
Optional ATR-based bands can be applied around the average, allowing traders to use band breakouts as confirmation of trend strength rather than relying solely on slope changes.
The result is a moving average that remains stable in noisy markets while still adapting during real trend movements.
Inputs Overview
Source — Selects the price source used in calculations
Moving Average Length — Controls smoothing and calculation sensitivity
ATR Length — Controls volatility measurement used for adaptive behavior
Base Moving Average — Selects which MA type forms the calculation foundation
Trend Logic — Determines whether trend is detected via crossover, slope change, or both
Use ATR Bands — Enables or disables dynamic ATR bands
ATR Factor — Controls band distance from the average
ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected
Floored Offset — Optional ALMA configuration affecting smoothing behavior
Usage Notes
Useful for filtering noise during volatile or choppy markets
ATR bands can help confirm stronger breakouts or trend continuation
Trend logic modes allow adaptation to different trading styles
Suitable for swing trading, trend-following, and position trading approaches
Can act as dynamic support or resistance in trending markets
Works well when combined with momentum or volume confirmation tools
Summary
Outlier Resistant Moving Average offers a volatility-aware trend reference that helps traders remain aligned with broader price movement while minimizing disruptions from sudden price spikes. It is especially useful for traders seeking smoother trend identification without sacrificing adaptability.
Topscore SMC Dashboard v7.2 DUAL + Liquidity + HTF FVGThis is a highly advanced **Smart Money Concepts (SMC) & ICT (Inner Circle Trader)** trading suite. It automates the analysis of market structure, liquidity, and imbalances across multiple timeframes to provide high-probability trade setups.
Here is a breakdown of how it works, its features, and how to trade with it.
---
### 1. Key Features & Logic
#### **A. Liquidity Pools (BSL / SSL)**
* **What it does:** It identifies "Equal Highs" (BSL - Buy Side Liquidity) and "Equal Lows" (SSL - Sell Side Liquidity).
* **Visuals:**
* **Red Dashed Lines:** BSL (Resistance/Liquidity above).
* **Green Dashed Lines:** SSL (Support/Liquidity below).
* **The "Sweep":** When price pierces these lines and reverses, the script marks it as **"💰 BSL/SSL Swept"**. In SMC, a sweep is often a precursor to a reversal.
#### **B. Fair Value Gaps (FVG) - Dual Timeframe**
* **LTF FVG (Lower Timeframe):** Detects standard gaps on your *current* chart (Standard Boxes).
* **HTF FVG (Higher Timeframe):** Uses `request.security` to look inside a higher timeframe (default is 1 Hour/60min) and projects those gaps onto your current chart.
* **Benefit:** Allows you to trade a 5-minute chart while seeing 1-hour "Magnet" levels without switching screens.
#### **C. Probability Engine**
* The script calculates a "Win Probability" % based on a confluence checklist. It adds points for:
1. **Liquidity Sweeps:** (+40 points) Highest weight.
2. **HTF FVG Alignment:** (+30 points) Trading into a higher timeframe gap.
3. **Trend Alignment:** (+15 points) Is price above/below the 50 SMA?
4. **FVG Quality:** (+10 points) Size and clarity of the gap.
* **Dual Calculation:** It calculates the score for **BOTH Long and Short** scenarios simultaneously and highlights the stronger side.
#### **D. Smart Risk Management**
* **Stop Loss (SL):** It doesn't just use a fixed number. It intelligently places SL behind:
* The recent Liquidity Sweep wick.
* The boundary of an FVG.
* A recent Swing High/Low.
* **Take Profit (TP):** Calculated based on your defined Risk:Reward Ratio (default 1:2).
---
### 2. The Dashboard (Top Right) explained
The dashboard is your "Cockpit." Here is how to read it row by row:
| Row | Description |
| --- | --- |
| **Entry** | Shows current price (or your manual entry price if set in settings). |
| **Liquidity** | Tells you if a pool (BSL/SSL) has just been swept or if active pools exist. |
| **HTF** | Status of the Higher Timeframe. e.g., "Bull FVG" means price is inside a 1H Buy zone. |
| **LONG / SHORT** | Shows the Probability Score for both directions. The stronger side will have a Star (⭐). |
| **SL / TP** | The exact price levels for Stop Loss and Take Profit calculated by the script. |
| **RR / Status** | Shows Risk:Reward and flashes **"HIGH PROB!"** if score > 65%. |
| **Confluence** | Lists *why* the score is high (e.g., "SSL Swept, HTF Bull FVG"). |
---
### 3. How to Trade using this Indicator
#### **Scenario 1: The Reversal Setup (High Probability)**
1. **Wait for a "Sweep":** Look for price to cross a Dotted Line (Liquidity Pool) and generate a **"💰 Swept"** label.
2. **Check HTF:** Ideally, this sweep happens inside a Higher Timeframe FVG (Large colored box).
3. **Check Dashboard:** Look for the probability score to turn **Green (>65%)**.
4. **Entry:** Enter when the dashboard confirms the setup.
5. **Execution:** Place your SL and TP exactly where the lines on the chart indicate.
#### **Scenario 2: Trend Continuation**
1. **Trend Check:** Price is trending (e.g., creating higher highs).
2. **Retracement:** Price pulls back into a **LTF FVG** (small box) or **HTF FVG** (large box).
3. **Confirmation:** Dashboard shows "Confluence: Uptrend, Quality FVG".
4. **Trade:** Take the trade in the direction of the trend.
---
### 4. Settings Guide (Inputs)
* **General Settings:**
* `Show LTF/HTF FVG`: Toggle boxes on/off.
* `Max boxes to keep`: Increase if you want to see history, decrease to make the chart faster.
* **HTF Settings:**
* `HTF Timeframe`: If you scalp M1/M5, set this to "60" (1 Hour). If you trade H1, set this to "240" (4 Hour) or "D" (Daily).
* **Liquidity Settings:**
* `Liquidity Lookback`: Higher number = Major swing points only. Lower number = Minor internal liquidity.
* **Trade Setup Calculator:**
* `Entry Price`: Leave at 0 for "Live" pricing. Set a specific price if you are planning a Limit Order and want to see where the SL/TP would be.
* `Risk:Reward`: Default is 2.0. Change to 1.5 or 3.0 based on your style.
### 5. Pro Tips for this Script
1. **Don't follow blindly:** A 90% probability on the dashboard is mathematical based on *past* logic, not a guarantee of the future.
2. **Best Timeframes:** This works best on **M5 and M15** for execution, with the HTF setting set to **H1 or H4**.
3. **The "Sweep" is Key:** The highest probability setups usually involve a Liquidity Sweep (Stop Hunt) *before* the move. If there is no sweep, the setup is weaker.
นี่คือคำอธิบายฉบับภาษาไทยสำหรับอินดิเคเตอร์ **"SMC Dashboard v7.2 DUAL + Liquidity + HTF FVG"** ครับ
ตัวนี้ถือเป็นเครื่องมือระดับ "All-in-One" สำหรับสายเทรด **SMC (Smart Money Concepts)** และ **ICT** ที่ช่วยวิเคราะห์โครงสร้างตลาด สภาพคล่อง (Liquidity) และช่องว่างราคา (FVG) ให้แบบอัตโนมัติ พร้อมคำนวณความน่าจะเป็นในการเข้าเทรดให้ด้วย
---
### 1. หลักการทำงานและฟีเจอร์เด่น
#### **A. การหา Liquidity (สภาพคล่อง / จุดกิน Stop Loss)**
* **BSL (Buy Side Liquidity):** เส้นประสีแดงด้านบน (แนวต้านที่มีคนวาง SL ไว้เยอะ)
* **SSL (Sell Side Liquidity):** เส้นประสีเขียวด้านล่าง (แนวรับที่มีคนวาง SL ไว้เยอะ)
* **The Sweep (การกวาด):** เมื่อราคาแทงทะลุเส้นประเหล่านี้แล้วดึงกลับ ระบบจะขึ้นป้ายเตือนว่า **"💰 BSL/SSL Swept"**
* *เทคนิค:* ในสาย SMC การเกิด Sweep คือสัญญาณการกลับตัวที่ทรงพลังมาก (แปลว่ารายใหญ่เก็บของครบแล้ว)
#### **B. Fair Value Gaps (FVG) แบบ 2 Timeframe**
* **LTF FVG (กล่องเล็ก):** คือ Gap ใน Timeframe ปัจจุบันที่คุณเปิดอยู่
* **HTF FVG (กล่องใหญ่):** ระบบจะไปดึงข้อมูลจาก **Timeframe ใหญ่** (ค่ามาตรฐานคือ 1 ชั่วโมง) มาวาดเป็นกล่องบนกราฟปัจจุบันให้
* *ประโยชน์:* ทำให้คุณเทรด M5 แต่เห็นแนวรับ/ต้านสำคัญของ H1 ได้ทันทีโดยไม่ต้องสลับหน้าจอ
#### **C. ระบบคำนวณความน่าจะเป็น (Probability Engine)**
ระบบจะให้คะแนน (Score) ว่าฝั่งไหนน่าเล่นกว่ากัน โดยดูจาก:
1. มีการกวาด Liquidity (Sweep) หรือไม่? (+40 คะแนน)
2. ราคาอยู่ในโซน HTF FVG หรือไม่? (+30 คะแนน)
3. เทรนด์เป็นขาขึ้นหรือลง? (+15 คะแนน)
4. คุณภาพของ Gap สวยไหม? (+10 คะแนน)
---
### 2. วิธีอ่านค่าบน Dashboard (ตารางมุมขวาบน)
ตารางนี้เปรียบเสมือนหน้าปัดเครื่องบิน บอกข้อมูลสำคัญดังนี้:
| หัวข้อ | ความหมาย |
| --- | --- |
| **Entry** | ราคาปัจจุบัน (หรือราคาที่เราตั้งใจจะเข้า) |
| **Liquidity** | สถานะล่าสุด: บอกว่ามีการ "Sweep" (กวาด) ไปแล้วหรือยัง |
| **HTF** | บอกสถานะ Timeframe ใหญ่ เช่น "Bull FVG" (อยู่ในโซนซื้อของ H1) |
| **LONG / SHORT** | **ไฮไลท์สำคัญ:** บอก % ความน่าจะเป็นของทั้งสองฝั่ง ฝั่งไหนคะแนนเยอะกว่าจะมีดาว (⭐) |
| **SL / TP** | จุด Stop Loss และ Take Profit ที่ระบบคำนวณให้แนะนำ |
| **RR / Status** | อัตราส่วนกำไรต่อขาดทุน ถ้าคะแนนเกิน 65% จะขึ้นว่า **"HIGH PROB!"** (น่าเข้ามาก) |
| **Confluence** | เหตุผลสนับสนุน: ระบบจะบอกว่าทำไมถึงให้คะแนนสูง (เช่น เพราะมี Sweep + เทรนด์ขาขึ้น) |
---
### 3. วิธีการเทรด (How to Trade)
#### **ท่าไม้ตาย 1: สวนเทรนด์ (Reversal Setup)**
1. **รอสัญญาณ Sweep:** รอให้ราคาแทงทะลุเส้นประ (Liquidity) แล้วหดไส้กลับ (ขึ้นป้าย 💰 Swept)
2. **ดู Dashboard:** คะแนนความน่าจะเป็นต้องเป็นสีเขียว (>65%)
3. **เข้าออเดอร์:** กด Buy/Sell ตามทิศทางที่กลับตัว
4. **วาง SL/TP:** ตามเส้นที่ระบบขีดให้บนกราฟ (SL จะอยู่หลังไส้เทียนที่ไปกวาดมา)
#### **ท่าไม้ตาย 2: ตามเทรนด์ (Continuation)**
1. **ดูเทรนด์:** กราฟเป็นขาขึ้น (ราคายืนเหนือเส้น SMA 50)
2. **รอย่อ:** ราคาย่อตัวลงมาในกล่อง **FVG** (ทั้งกล่องเล็กหรือกล่องใหญ่)
3. **เช็ค Dashboard:** ช่อง Confluence ขึ้นว่า "Uptrend, Quality FVG"
4. **เข้าออเดอร์:** Buy ตามน้ำขึ้นไป
---
### 4. การตั้งค่าที่แนะนำ (Settings)
* **HTF Timeframe:**
* ถ้าคุณเทรด **M1 - M5** แนะนำให้ตั้ง HTF เป็น **"60" (1 ชั่วโมง)**
* ถ้าคุณเทรด **M15** แนะนำให้ตั้ง HTF เป็น **"240" (4 ชั่วโมง)**
* **Risk:Reward:** ค่าเดิมคือ 2.0 (กำไร 2 เท่าของความเสี่ยง) สามารถปรับเป็น 1.5 หรือ 3.0 ได้ตามสไตล์
* **Entry Price:** ปกติให้เป็น 0 (ใช้ราคา Real-time) แต่ถ้าจะวาง Pending Order ให้ใส่ราคาที่เราต้องการลงไป ระบบจะคำนวณ SL/TP ใหม่ให้เห็นภาพล่วงหน้า
### 5. ข้อแนะนำเพิ่มเติม
* **อย่าเชื่อ 100%:** แม้ Dashboard จะบอกว่าโอกาสชนะ 90% แต่มันคำนวณจากสูตรคณิตศาสตร์ ตลาดจริงมีความผันผวนเสมอ
* **การกวาด (Sweep) คือหัวใจ:** Setup ที่ดีที่สุดของตัวนี้คือตอนที่เกิด **Liquidity Sweep** แล้วไปชนกับ **HTF FVG** (กล่องใหญ่) จังหวะนี้จะมีโอกาสชนะสูงที่สุดครับ
Zen Measured Moves - Price Extension Targets Based on Prior Bar Overview
Zen Measured Moves identifies potential price extension targets by projecting the prior bar's range forward from breakout points. This indicator helps traders anticipate how far price might travel after breaking above a prior high or below a prior low.
How It Works
The indicator calculates three measured move targets in each direction:
Bullish Targets (from prior bar's high):
0.5x - Half the prior range (50% extension)
1x - Full prior range (100% extension)
2x - Double the prior range (200% extension)
Bearish Targets (from prior bar's low):
0.5x - Half the prior range (50% extension)
1x - Full prior range (100% extension)
2x - Double the prior range (200% extension)
Visual Signals
Blue circles above bars indicate bullish measured moves achieved:
Light blue (tiny) = 0.5x target hit
Medium blue (small) = 1x target hit
Dark blue (normal) = 2x target hit
Red circles below bars indicate bearish measured moves achieved:
Light red (tiny) = 0.5x target hit
Medium red (small) = 1x target hit
Dark red (normal) = 2x target hit
Data Window Outputs
All calculated values are available in the Data Window for analysis or export to Excel:
Target hit indicators (1/0 boolean values)
Actual target price levels
Bar type classifications (bullish/bearish)
Range measurements
Internal Bar Strength (IBS) values
Use Cases
Identify potential profit targets after breakouts
Gauge momentum strength by which targets are reached
Filter for high-momentum vs low-momentum moves
Backtest measured move reliability on your instruments
Export data for statistical analysis in Excel
Best Practices
Works on any timeframe or instrument
Most effective when prior bar has clear directional bias
Consider combining with volume or other confirmation indicators
Use IBS values to assess entry/exit quality within bars
Roboballs42 EMA + PVSRA Vector Candles + CME Gap + SMC BoxesAll-in-one BTC overlay: 13/50/200/800 EMAs + 50 EMA cloud + PVSRA vector candles + VCZ zones + CME weekend gaps + Auto-Fib Golden Pocket + optional S/D boxes.
Roboballs42 • EMA Strategy + Vector Candles + CME Gap (All-in-One Overlay)
This is my personal “daily driver” overlay built for BTC/crypto, but it works on any chart/timeframe.
It combines clean trend structure with liquidity/volume cues and a few high-utility market context tools.
What’s included
EMA Strategy: 13 / 50 / 200 / 800 EMAs (custom colors, thickness, line style)
50 EMA Cloud (volatility-based band, border hidden for clean look)
13/50 Cross Markers (custom shapes/sizes) + optional ATR-offset arrows
PVSRA Vector Candles (via TradersReality library) + alerts
Vector Candle Zones (VCZ) (optional zones based on vector candle logic)
CME Bitcoin Weekend Gap: shaded weekend + gap box that extends right and shrinks as filled
Auto-Fib Golden Pocket (0.618–0.65) + optional 0.382 / 0.5 / 0.786 + anchor line
Daily Open + Weekly Psy Levels (TR style)
SMC Lite Supply/Demand Boxes (optional, lightweight)
How I use it (simple)
Trend bias from EMAs (13/50 for momentum, 200/800 for macro bias)
Vector candles + VCZ for “effort / participation” and reaction zones
CME gaps for weekend inefficiencies + likely magnets/targets
Golden Pocket + 0.5 for clean pullback zones in trend
Support / Donations (BTC)
If this indicator helps you and you want to support continued development, BTC donations are appreciated:
BTC: bc1qvda8daynuqhpx8e9g07ddyelhpmv4ja5wc9cmm
Notes
Some tools are designed for specific timeframes (e.g., Weekly Psy levels valid for certain intraday TFs).
CME gap logic is based on Chicago time and weekend schedule assumptions.
Disclaimer
For educational and analytical purposes only. Not financial advice. Always manage risk.
Double Trisectional Volatility BandsDouble Trisectional Volatility Bands (DTVB) | MisinkoMaster
Double Trisectional Volatility Bands (DTVB) is a volatility-based trend indicator designed to create smooth yet adaptive price envelopes capable of tracking trend structure while reacting to volatility expansion. The indicator emphasizes stability during consolidation while clearly highlighting strong price moves beyond normal market behavior.
This makes DTVB particularly suitable for traders seeking structured volatility envelopes that remain stable during noise yet clearly identify breakout and trend continuation phases.
Key Features
Double-layer trisectional smoothing for stable trend structure
Adaptive volatility bands responding to changing market conditions
Clear breakout detection through band expansion and price crossings
Dynamic candle coloring for immediate trend visualization
Automatic Long and Short markers on confirmed trend shifts
Designed to balance smooth structure with volatility responsiveness
Suitable for both breakout and trend-following strategies
How It Works
DTVB uses a multi-stage smoothing process that divides price behavior into layered components, allowing the central structure to remain smooth while still reacting to changing volatility conditions.
Instead of relying on a single smoothing pass, the indicator blends multiple smoothing layers to maintain structural consistency across varying market environments.
A volatility component then measures how far price deviates from this smoothed structure, and adaptive bands are constructed around the central value. When price moves outside these envelopes, it signals abnormal movement or potential trend continuation.
The result is a band system that stays stable during sideways markets yet expands when volatility increases, helping traders detect meaningful price transitions.
Inputs Overview
Source — Selects the price data used for calculations
Lookback Period — Controls the primary smoothing length used in the band structure
Factor — Adjusts the volatility multiplier controlling band width
Volatility Lookback — Defines the smoothing period applied to volatility calculations
Usage Notes
Designed for traders seeking smooth volatility envelopes
Breakouts occur when price crosses outside the bands
Band expansions often accompany strong trend movements
Works well for trend continuation and breakout confirmation
Best used alongside price structure or confirmation indicators
Parameters should be tuned according to asset volatility and timeframe
Summary
Double Trisectional Volatility Bands provide a smooth yet adaptive volatility envelope designed to highlight abnormal price movements while maintaining stable structure during consolidation. It is well suited for traders seeking structured breakout and volatility-aware trend analysis tools.
Roboballs42 Auto W/M Pattern Detector + Measured Move & Fib TaRoboballs42 — Auto W/M Pattern Detector + Measured Move & Fib Targets
This indicator automatically detects Double Bottom (W) and Double Top (M) patterns using a ZigZag-based market structure engine with built-in quality filtering.
Designed for clean charts, realistic targets, and high-signal price action, this tool removes manual drawing and highlights only meaningful reversal structures.
🔍 Core Features
Automatic W (double bottom) and M (double top) detection
Clear adjacent structure triangles for pattern validation
Neckline detection with projected measured move targets
Automatic Fibonacci extension levels from the structure
Optional multi-timeframe logic
Quality and risk filtering to reduce low-probability setups
Smart memory system to keep charts uncluttered
Fully scalable visuals for all timeframes
📐 Why Traders Use It
Quickly spot reversal structures without manual drawing
Visualize realistic upside/downside targets
Combine market structure + fib logic in one clean tool
Useful for BTC, crypto, forex, stocks, and indices
⚙️ Customization
Toggle W/M patterns, necklines, measured moves, invalidation rays
Adjust pivot sensitivity and risk filtering
Control label size, opacity, and chart cleanliness
Designed to work cleanly on any timeframe
❤️ Support / Donations
If this indicator helps your trading and you’d like to support continued development, BTC donations are appreciated:
Bitcoin (BTC):
bc1qvda8daynuqhpx8e9g07ddyelhpmv4ja5wc9cmm
💡 Tip: The address is copyable from Settings → Inputs for easy copy/paste.
⚠️ Disclaimer
This script is for educational and analytical purposes only.
It is not financial advice. Always manage risk and confirm setups with your own analysis.
stelaraX - Auto FibonaccistelaraX – Auto Fibonacci
stelaraX – Auto Fibonacci is an automatic Fibonacci plotting indicator that detects recent pivot highs and pivot lows and draws Fibonacci retracement and extension levels across the latest swing range. The script updates dynamically whenever a new pivot is confirmed, providing an always-current Fibonacci map without manual drawing.
For advanced AI-based chart analysis and automated Fibonacci interpretation, visit stelarax.com
Core logic
The indicator detects swing pivots using a user-defined pivot lookback:
* pivot highs are detected using pivot high confirmation
* pivot lows are detected using pivot low confirmation
When a new pivot is confirmed and both a recent high and low are available, the script:
* defines the swing range between the latest pivot high and pivot low
* draws Fibonacci levels across that range
* extends the levels forward by a configurable number of bars
The plotted level set includes retracements and extensions:
* -0.618 and -0.272
* 0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0
* 1.272 and 1.618
Extensions can be enabled or disabled via a dedicated setting.
Visualization
Fibonacci levels are plotted as horizontal lines and labeled with:
* the Fibonacci ratio
* the corresponding price value
Colors are assigned based on level type:
* 0 and 1 levels use a dedicated highlight color
* 0.5 uses a key level color
* standard retracement levels use a base fib color
* extension levels use a separate extension color
When a new pivot forms, the indicator clears the previous Fibonacci drawings and redraws the full set to keep the chart clean and current.
Use case
This indicator is intended for:
* automatic Fibonacci retracement mapping on the latest swing
* identifying potential reaction levels for pullbacks and continuations
* projecting extension targets beyond the current range
* level-based confluence with structure, liquidity, and zones
* multi-timeframe Fibonacci alignment
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
