Deviation Trend Profile [BigBeluga]🔵 OVERVIEW
A statistical trend analysis tool that combines moving average dynamics with standard deviation zones and trend-specific price distribution.
This is an experimental indicator designed for educational and learning purposes only.
🔵 CONCEPTS
Trend Detection via SMA Slope: Detects trend shifts when the slope of the SMA exceeds a ±0.1 threshold.
Standard Deviation Zones: Calculates ±1, ±2, and ±3 levels from the SMA using ATR, forming dynamic envelopes around the mean.
Trend Distribution Profile: Builds a histogram that shows how often price closed within each deviation zone during the active trend phase.
🔵 FEATURES
Trend Signals: Immediate shift markers using colored circles at trend reversals.
SMA Gradient Coloring: The SMA line dynamically changes color based on its directional slope.
Trend Duration Label: A label above the histogram shows how many bars the current trend has lasted.
Trend Distribution Histogram: Visual bin-based profile showing frequency of price closes within deviation bands during trend lookback period.
Adjustable Bin Count: Set the granularity of the distribution using the “Bins Amount” input.
Deviation Labels and Zones: Clearly marked ±1, ±2, ±3 lines with consistent color scheme.
Trend Strength Insight:
• Wide profile skewed to ±2/3 = strong directional trend.
• Profile clustered near SMA = potential trend exhaustion or range.
🔵 HOW TO USE
Use trend shift dots as entry signals:
• 🔵 = Bullish start
• 🔴 = Bearish start
Trade with the trend when price clusters in outer zones (±2 or ±3).
Be cautious or fade the trend when price distribution contracts toward the SMA.
View across multiple timeframes for trend confluence or divergence.
🔵 CONCLUSION
Deviation Trend Profile visualizes how price distributes during trends relative to statistical deviation zones.
It’s a powerful confluence tool for identifying strength, exhaustion, and the rhythm of price behavior—ideal for swing traders and volatility analysts alike.
Trend Analysis
Trend Flow Trail [AlgoAlpha]OVERVIEW
This script overlays a custom hybrid indicator called the Money Flow Trail which combines a volatility-based trend-following trail with a volume-weighted momentum oscillator. It’s built around two core components: the AlphaTrail—a dynamic band system influenced by Hull MA and volatility—and a smoothed Money Flow Index (MFI) that provides insights into buying or selling pressure. Together, these tools are used to color bars, generate potential reversal markers, and assist traders in identifying trend continuation or exhaustion phases in any market or timeframe.
CONCEPTS
The AlphaTrail calculates a volatility-adjusted channel around price using the Hull Moving Average as the base and an EMA of range as the spread. It adaptively shifts based on price interaction to capture trend reversals while avoiding whipsaws. The direction (bullish or bearish) determines both the band being tracked and how the trail locks in. The Money Flow Index (MFI) is derived from hlc3 and volume, measuring buying vs selling pressure, and is further smoothed with a short Hull MA to reduce noise while preserving structure. These two systems work in tandem: AlphaTrail governs directional context, while MFI refines the timing.
FEATURES
Dynamic AlphaTrail line with regime switching logic that controls directional bias and bar coloring.
Smoothed MFI with gradient coloring to visually communicate pressure and exhaustion levels.
Overbought/oversold thresholds (80/20), mid-level (50), and custom extreme zones (90/10) for deeper signal granularity.
Built-in take-profit signal logic: crossover of MFI into overbought with bullish AlphaTrail, or into oversold with bearish AlphaTrail.
Visual fills between price and AlphaTrail for clearer confirmation during trend phases.
Alerts for regime shifts, MFI crossovers, trail interactions, and bar color regime changes.
USAGE
Add the indicator to any chart. Use the AlphaTrail plot to define trend context: bullish (trailing below price) or bearish (trailing above). MFI values give supporting confirmation—favor long setups when MFI is rising and above 50 in a bullish regime, and shorts when MFI is falling and below 50 in a bearish regime. The colored fills help visually track strength; sharp changes in MFI crossing 80/20 or 90/10 zones often precede pullbacks or reversals. Use the plotted circles as optional take-profit signals when MFI and trend are extended. Adjust AlphaTrail length/multiplier and MFI smoothing to better match the asset’s volatility profile.
cd_cisd_market_CxHi Traders,
Overview:
Many traders follow market structure to identify the market direction and seek trade opportunities in line with the trend.
However, markings derived from user-defined inputs can create different structures, depending on personal choices. For instance, choosing a pivot distance of 3 instead of 2 alters the structure, even though the chart remains the same. Ideally, the structure should remain consistent.
"Change in State Delivery" ( CISD ) is a widely accepted concept among traders and is considered a significant indicator of market direction based on the gain/loss of CISD levels.
In this indicator, CISD is selected as the primary criterion for marking market structure, eliminating the influence of user-dependent variations.
Here is a summary of the key logic and rules applied:
• When the price forms a new high/low, that level is only considered a pivot if a CISD has occurred.
• A bullish CISD is always followed by a bearish CISD, and vice versa.
• Pivot points form the internal structure.
• The internal structure is used to interpret the swing structure.
• Probabilities are derived from internal structure patterns.
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Details:
How is CISD determined?
As is commonly known:
• When price makes a new high, the opening level of the first candle in the consecutive bullish candle sequence is marked.
• When price makes a new low, the opening of the first candle in the consecutive bearish sequence is marked.
• If there’s only one candle in the sequence, its opening level is used.
In a bullish market, losing a bearish CISD level (i.e., a close below it) or in a bearish market, gaining a bullish CISD level (i.e., a close above it) is interpreted as a potential shift in buyer-seller dominance and a possible market reversal.
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How are internal (pivot) levels determined?
• When price closes below a bearish CISD level, the highest candle's high becomes a pivot high (PH).
• When price closes above a bullish CISD level, the lowest candle's low becomes a pivot low (PL).
• If the new PH is above the previous PH, it’s labeled as HH (Higher High); otherwise, LH (Lower High).
• If the new PL is below the previous PL, it’s labeled as LL (Lower Low); otherwise, HL (Higher Low).
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Internal Market Structure:
• A series of HHs indicates a bullish internal structure.
• A series of LLs indicates a bearish internal structure.
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Swing (Main) Market Structure:
Using internal pivots and previous swing levels, the main market structure is derived.
• A new swing high (SH) requires the price to move above the previous SH.
• A new swing low (SL) requires the price to move below the previous SL.
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Probability Calculation:
Pivot levels forming the internal structure are coded as five-element sequences.
There are 64 possible combinations of such sequences made from consecutive PH and PL values.
Each pattern’s frequency from its starting candle is tracked.
To make it more understandable:
For example, after the four-sequence “HH, LL, LH,HL”, either HH or LH might follow.
The table shows the statistical likelihood of both possible outcomes for the most recent four-element sequence on the chart.
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How reliable is it?
To assess reliability, results are calculated from the beginning using:
Success Rate (Suc. Rt) = Number of Correct Predictions / Total Predictions
This value is added to the table for reference.
It’s important to note that no statistical outcome guarantees certainty—every result offers a different interpretation. What truly matters is to avoid getting stopped out 😊.
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Menu Options:
Show/hide preferences and color selections can be customized via the indicator menu.
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What’s Coming in Future Versions?
Features such as FVG (Fair Value Gaps) between swing levels, volume imbalances, order blocks / mitigation blocks, Fibonacci levels, and relevant trade suggestions will be added.
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This is a BETA version that I believe will help simplify your market reading. I’d be happy to hear your feedback and suggestions.
Cheerful Trading!
Bot Superindicador v1.1This indicator was developed to complement automated trading systems, providing clear buy and sell signals based on technical criteria and trend analysis. It is useful for traders who want to visualize strategies directly on the chart.
Features:
Entry and exit signals based on momentum logic and moving averages.
Optimized for the BTC/USDT pair, but adaptable to other pairs.
Can be used as a base for webhook alert systems.
Supply & Demand Zones - Inside FormationsSupply and demand formations based on inside bar breakouts. Automatically plots zones to buy and sell from. MTF analysis available.
Rolling Z-Score Trend [QuantAlgo]🟢 Overview
The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts.
The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes.
🟢 How It Works
The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals.
Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action.
🟢 How to Use
1. Z-Score Interpretation and Threshold Zones
Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions
Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions
Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes
Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions
Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions
Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities
2. Momentum Background Analysis and Info Table
Green Columns : Accelerating positive momentum in Z-Score values
Red Columns : Accelerating negative momentum in Z-Score values
Column Height : Magnitude of momentum change between bars
Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals
Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management
3. Preconfigured Settings
Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management.
Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements.
Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes.
Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Trendlines with Breaks + Hull Suite + SuperTrendEntering after breaking or breaking the trend corresponding to the cloud and exit with changing the colour of the graduated line
الدخول بعد اختراق أو كسر الترند المطابق للسحابة والخروج مع تغيير لون الخط المتدرج
Nikko MACD + SMA 200 MEME coin strategyThis is an old strategy originally developed by ChartArt in 2015, based on MACD + SMA 200 and written in Pine Script version 2.
I’ve upgraded it to version 6 and significantly improved its performance.
The strategy is actually highly profitable under certain conditions, especially when applied to meme coins. You don’t need to modify anything—just test it directly on volatile assets.
It outperforms the typical “Buy and Hold” approach on many high-volatility coins, particularly memes.
Key Notes:
It’s simple but effective when properly configured.
No need for pyramiding: just sell 100% when bearish and buy 100% when bullish—this tends to yield better results.
The 1-hour timeframe works well. Very short intervals like 2 minutes perform poorly, and overly long ones aren't effective either. Test and adjust.
The equity drawdown is relatively low, so it can be suitable for leveraged trading—though leverage is always risky, and caution is advised.
I believe this is one of the most effective free strategies with open-source code currently available on TradingView.
Example:
SEED_DONKEYDAN_MARKET_CAP:FLOKI on a 30-minute timeframe delivers +683% profit
Starting with $10,000, it ends with over $68,000
It also performs well on CRYPTOCAP:PEPE and SEED_DONKEYDAN_MARKET_CAP:BONK , but does not yield strong results with $BTC.
Below is the README:
--------------------------------------------------------------------------------------
// Original by ChartArt
// updated from v2 to v6 and improved some stuff
strategy("Nikko MACD + SMA 200 Strategy (by ChartArt)", shorttitle="Nikko - MACD + SMA 200 Strategy", overlay=true, initial_capital=10000,default_qty_value = 10, pyramiding = 10, default_qty_type = strategy.percent_of_equity, commission_value = 0.06 )
// ChartArt's MACD + SMA 200 Strategy
//
// Version 2.0
// Idea by ChartArt on November 30, 2015.
// updated June 2025 by CryptoNikkoid
//
// Here is a combination of the MACD with the
// slow moving average SMA 200 as a strategy.
//
// This strategy goes long if the MACD histogram
// and the MACD momentum are both above zero and
// the fast MACD moving average is above the
// slow MACD moving average. As additional long filter
// the recent price has to be above the SMA 200.
// If the inverse logic is true, the strategy
// goes short. For the worst case there is a
// max intraday equity loss of 50% filter.
// -------------------
// changed the strategy to close all orders when turning bearish, also fixed some design glitches
// this strategy is working better on short timeframe (5min for example)
Reversal Hammer/InvertedHammer/ShootingStar/HangingManCheck in H4, D1 timeframes and take your trade in M5
Consolidation Zones[RanaAlgo]Overview
This indicator helps traders identify price consolidation zones (ranges) and potential breakouts in the market. It is useful for spotting periods of low volatility before significant price movements.
How It Works
Detects Consolidation Zones
Uses the ADX (Average Directional Index) to determine when the market is in a consolidation phase .
When ADX is below the threshold , the indicator marks the start of a consolidation zone.
Draws a semi-transparent box around the price range, adjusting its height as new highs/lows form.
Tracks Breakouts
When price breaks above/below the consolidation box, it signals a potential trend continuation.
Displays breakout arrows/labels (configurable shape & style) when price exits the range.
Visual Features
Boxes highlight consolidation areas (customizable color, border, and style).
Labels show real-time status ("CONSOLIDATING" or "TRENDING").
Breakout signals appear as arrows or shapes (up/down).
Usefulness in Trading
Range Trading: Helps traders identify sideways markets for buying low and selling high.
Breakout Trading: Signals potential trend entries when price exits consolidation.
Trend Confirmation: Low ADX + consolidation box = weak trend; breakout = possible trend start.
Example: If price stays in a blue box (consolidation) and then breaks above with an arrow, it suggests a bullish move.
Session Highs & Lows - Current Day OnlyTJR Strategy of Sessions, high low marker, feel free to use it and its a first just trying Pine script out
Smart Zones Pro [FVG, OB, VWAP, Sessions, Alerts, Structure]ICT Package. Basically I combined vwap with ICT concepts with supply and demand.
Liquidity Hunter HeatmapLiquidity Hunter (GPS Companion Tool)
Liquidity Hunter is a specialized script designed to help traders visualize and track potential liquidation zones, clusters, and imbalance traps in real-time. It is particularly useful for scalpers and short-term traders who rely on liquidity sweeps, stop hunts, and reversion plays.
This tool does not replicate open-source liquidation trackers. Instead, it uses a proprietary combination of volume surges, candle displacement, VWAP deviation, and high-timeframe wicks to infer areas of trapped traders and display them with clear, color-coded markers.
Key Features:
• Real-Time Liquidation Estimates: Detects where major stop losses (and potential liquidations) may have occurred, based on proprietary volume + price action logic.
• Cluster Strength Bubbles: Visual bubbles (scaled by cluster size) show where liquidations are stacking. Purple for bearish, white for bullish — intensity reflects strength.
• Pre-Liquidation Warning Zones: Highlights areas where price is likely to sweep liquidity before reversing, helping traders avoid chasing moves.
• Dollar-Based Labels (Optional): Displays the estimated value liquidated, helping traders size the significance of a move (e.g., $8.4M).
• Minimal Clutter Mode: Designed for intraday clarity — hides excess lines and uses bubbles, not shapes, for cleaner visualization.
HOG PathfinderHOG Pathfinder
📊 Overview
HOG Pathfinder is a forward-projection engine that analyzes trend, momentum, and volume to chart a probable path for the next candles. Built as a tactical overlay for directional bias, it gives traders a clean, visual estimate of where price is likely to head — without relying on hope or hindsight.
⚙️ How It Works
• Scores 5 key signals:
• EMA 9/21 trend slope
• RSI strength
• MACD histogram bias
• Price relative to EMA 50 (volume position)
• Trend confirmation via ADX
• Determines a bias: Bullish, Bearish, or Neutral
• Uses average true range to project a path over the next 10 candles
• Displays a dotted line that curves upward, downward, or flat depending on strength and alignment
🎯 Inputs
• Projection Length — number of forward candles to project
• Show Target — enables future target logic (not plotted)
✅ Benefits
• Instant directional read of where price is likely to go
• Pairs perfectly with indicators like Trifecta or Super Trend
• Clean visual — no noise, just trajectory
• Built from native Pine Script logic — no dependencies
📈 Use Cases
• Forecasting next 10 candles on the daily or 4H
• Trade alignment with higher timeframe bias
• Visual guide for continuation or mean reversion trades
⚠️ Notes
• This is not a “prediction” tool — it projects the most probable path given current momentum, trend, and volume alignment
• Adjust slope logic in future versions to curve toward key zones or FVGs
Multi-Indicator Trend-Following Strategy v7This strategy is a trend-following system that combines multiple technical indicators into a single, optimized indicator to help identify high-probability Buy and Sell opportunities while maintaining a clean and uncluttered chart.
✅ How It Works:
This script utilizes a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Volume, MACD, and Average True Range (ATR) to determine trade entries and exits.
🟢 Buy Conditions:
Trend Crossover Entry:
A Buy signal is generated when the Fast EMA crosses above the Slow EMA, indicating a potential bullish trend.
Oversold Reversal Entry:
Alternatively, a Buy is triggered when:
The Slow EMA is significantly below the Fast EMA (oversold market behavior),
The current price is well below the Fast EMA,
A volume spike occurs, suggesting a possible reversal.
🔴 Sell Conditions:
Trend Crossover Exit:
A Sell signal is generated when the Fast EMA crosses below the Slow EMA, indicating a bearish shift.
Overbought Reversal Exit:
A Sell is triggered when:
The Slow EMA is above the Fast EMA by a wide margin,
The price is well above the Fast EMA,
A volume spike suggests downward reversal pressure.
📏 Risk Management:
Uses ATR-based stop-loss and take-profit levels to dynamically manage risk per trade.
Includes adjustable input options for ATR multipliers, moving average lengths, volume filters, and more.
🧩 Why Use This Strategy?
Rather than juggling multiple indicators manually, this script combines and simplifies them into a single, convenient strategy. It’s ideal for traders who want:
Clean visual signals,
Robust entry/exit logic backed by volume and trend behavior,
A modular and customizable setup for testing and optimization.
⚠️ Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Always backtest strategies thoroughly and use proper risk management when trading live.
Candle Range Detector by TradeTech AnalysisCandle Range Detector by TradeTech Analysis
This advanced indicator identifies and visualizes price compression zones based on inside bar formations, then tracks how price behaves around those zones — offering valuable insights into liquidity sweeps, range expansions, and trap/mitigation behavior.
The script builds upon the foundational concept of range-based price action, commonly used by institutional traders, and adds automation, mitigation tracking, and sweep detection to map how price reacts around these critical ranges.
🔍 How It Works:
• Range Formation: A new range is detected when the current candle forms entirely within the high and low of the previous candle (i.e., an inside bar). This behavior often indicates price compression and potential breakout zones.
• Range Extension: Once a range is confirmed, the script projects upper and lower boundaries (using either a percentage-based multiplier or Fibonacci log extension), providing context for expected breakout zones.
• Mitigation Tracking: The script continuously monitors whether price breaks above or below the projected extensions, marking that range as mitigated — useful for confirming whether liquidity was absorbed.
• Sweep Detection: If price re-visits a mitigated zone and shows signs of a liquidity sweep (via wick + close behavior), the indicator triggers visual sweep labels and optional alerts.
🧠 Optional Visual Enhancements:
• Highlight range-forming candles with light blue background (toggle on/off)
• Midpoint dotted line for symmetry analysis
• Labels for “Range High” and “Range Low” for visual clarity
• Dynamic box drawing that adapts upon mitigation or continuation
⚙️ Customizable Features:
• Choose between Normal and Fibonacci-based detection modes
• Toggle visibility of range boxes, extension lines, and sweep markers
• Configure sweep alerts, mitigation window size, and visual transparency
⸻
🧪 Use Cases
• Identify consolidation zones before major price moves
• Confirm liquidity sweeps for entry/exit traps
• Visualize and test mitigation behavior of past zones
• Combine with Order Flow or Volume Profile tools to enhance context
⸻
⚠️ This is a fully original implementation that goes beyond classical inside-bar scanners by incorporating mitigation, extension projection, and liquidity sweeps — making it a powerful tool for intraday, swing, and even Smart Money-based trading setups.
London Session High/Low Zones — Mended CollectiveThis indicator shows the high and low of the London session (3AM–8AM EST), with session shading and labels. Alerts notify you when price breaks above or below the range. Designed for intraday traders using session-based levels.
Daily ATR TrackerDaily ATR Tracker
The Daily ATR Tracker is a simple yet powerful tool designed to help traders monitor the daily price movement relative to the average daily range (ATR). This indicator provides an objective view of how much price has moved compared to its recent daily volatility.
🔎 Key Features:
Customizable ATR period (default 14 days)
Live calculation of the current day's price range
ATR value displayed in pips for clear reference
Percentage of ATR covered by the current day's range
Color-coded table for quick visual interpretation:
🟢 Green: less than 60% of ATR covered
🟠 Orange: 60% to 100% of ATR covered
🔴 Red: more than 100% of ATR covered
Alert condition when daily range exceeds 100% of the ATR average
Movable table position to fit your chart layout
🎯 Why use Daily ATR Tracker?
✅ Identify exhaustion zones: When price has already covered a large portion of its typical daily range, the odds of further strong movement may diminish, helping you to manage entries, exits, and risk.
✅ Objective daily bias: Get a quantitative sense of how "stretched" the market is in real time.
✅ Works with any timeframe: While designed for daily ranges, you can monitor intraday movements with this context in mind.
⚠️ Usage Note:
This tool does not provide buy or sell signals by itself. It is designed to complement your existing strategies by offering additional context regarding daily range exhaustion.
BB + SMA5 반전 신호 (중복 방지 + 알림)This is an indicator that generates a sell signal when the 5sma reverses downward within the Bollinger Band.
Sarjana Crypto TrendMaster + EMA 20/50/100/200It combines moving averages, a custom SuperTrend, and Heikin Ashi smoothing to help you spot trend direction and filter clean buy/sell signals.
This tool doesn’t predict — it reacts smartly to trend changes.
It's ideal for traders who want clear, filtered signals backed by trend logic and EMAs.
ICT SMT Divergence Lines - EnhancedThis indicator identifies and highlights Smart Money Technique (SMT) divergence between two user-selected symbols across any timeframe. It compares the last two completed candles of both symbols and marks potential SMT signals only when market context aligns with smart money principles.
⚡ Key Features
✅ SMT Bullish Signal
Symbol 1 forms a lower low compared to its prior candle.
Symbol 2 forms a higher low compared to its prior candle.
The previous candle on the chart was bearish (close < open).
✅ SMT Bearish Signal
Symbol 1 forms a higher high compared to its prior candle.
Symbol 2 forms a lower high compared to its prior candle.
The previous candle on the chart was bullish (close > open).
✅ Visual Representation
Draws a clean, subtle line between the two SMT candles — green for bullish SMT and red for bearish SMT — making divergence easy to spot.
Optional small triangle markers above or below the bar where SMT is detected.
Old lines are automatically removed to keep the chart uncluttered.
✅ Multi-timeframe compatible
Works on any chart timeframe.
Compares the last two completed candles in the current chart timeframe, or can be adapted for a fixed higher timeframe.
The Mended Collective: London High/Low KillzonesThis indicator automatically tracks the London session range from 3:00 AM to 8:00 AM EST, plotting the session high and low on your chart. It visually highlights the active killzone and places end-of-session labels to mark the completed range.
🚨 Includes real-time alert conditions to notify traders when price breaks above or below the London session high/low; perfect for breakout or liquidity-based strategies.
🔧 Features:
Automatic London session detection (EST time zone)
High/Low tracking and plotting during the session
Background shading during the session
Labels for session high and low after session ends
Alert conditions for breakout events