ombs- PONY Breakout Alert
🧠 תקציר הסקריפט: **PONY Breakout Alert 📈
🔍 **מטרה**:
לזהות **פריצה מעלה של רמת 14.15** תוך כדי **מחזור מסחר גבוה מהממוצע**, כדי לאתר **הזדמנות מסחר שורית**.
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⚙️ רכיבי הסקריפט:
* 📌 **רמת כניסה**:
`entryLevel = 14.15`
* 📊 **תנאי כניסה**:
* סגירת מחיר **מעל 14.15**
* נפח מסחר **גבוה ב־20% מהממוצע ל־20 הימים האחרונים**
* 🔔 **התראה ויזואלית**:
* סמל ירוק "Entry" מופיע מתחת לנר על הגרף
* קווים קבועים לרמות יעד וסטופלוס
* 🎯 **יעדי רווח**:
* Target 1 – 15.15
* Target 2 – 16.00
* Target 3 – 17.00
* 🛑 **סטופלוס**:
* שמרני: 13.20
* אגרסיבי: 12.80
* 🔔 **התראה אוטומטית** (`alertcondition`):
תשלח הודעה:
*"PONY פרצה מעל 14.15 עם מחזור גבוה – שקול כניסה לעסקה."*
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📝 מתאים עבור:
* סוחרי ניתוח טכני 🧮
* מי שמחפש כניסה מבוססת על פריצה + נפח 📊
* שימוש על גרף יומי בלבד 📅
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🧠 Script Summary: PONY Breakout Alert 📈
🔍 Objective:
Detect a breakout above the 14.15 level accompanied by high trading volume, in order to identify a bullish trading opportunity.
⚙️ Script Components:
📌 Entry Level:
entryLevel = 14.15
📊 Entry Conditions:
Price closes above 14.15
Volume is 20% higher than the 20-day average
🔔 Visual Alert:
A green "Entry" label appears below the bar on the chart
Static horizontal lines mark targets and stop-loss levels
🎯 Profit Targets:
Target 1 – 15.15
Target 2 – 16.00
Target 3 – 17.00
🛑 Stop Loss:
Conservative: 13.20
Aggressive: 12.80
🔔 Automated Alert (alertcondition):
Sends a message:
"PONY has broken above 14.15 with high volume – consider a long position."
📝 Ideal For:
Technical traders 🧮
Those seeking breakouts confirmed by volume 📊
Daily chart setups only 📅
Chart patterns
Auto Channel [SciQua]Auto Channel
Purpose
Auto Channel finds the single best parallel price channel from recent price action and keeps it updated in real time. It uses ZigZag pivots to build candidate channels, scores each candidate for quality, then plots the winner. When price closes outside the channel, the script flags a breakout and can fire alerts.
How it works
1. ZigZag pivots
The script uses TradingView’s TradingView/ZigZag/7 library to generate a stream of swing highs and lows based on a percentage reversal threshold and a leg depth. These pivots are the only points the channel logic evaluates, which keeps the search fast and focused on structure rather than noise.
2. Channel candidates
From the most recent pivots, the script forms all combinations of two swing highs and two swing lows.
It computes a slope for the high line and a slope for the low line and requires that they be nearly parallel within a user-defined tolerance.
3. Quality scoring and selection
For every valid candidate, the script checks the recent pivot segments against the trial channel and computes:
Inside ratio: fraction of tested pivots that sit fully inside the channel after applying the tolerance buffer.
Violation sum: total magnitude of the breaches for any pivots outside the channel.
Current width: distance between upper and lower lines at the current bar.
The “best” channel is chosen by:
1. highest inside ratio
2. then widest current width
3. then smallest violation sum
4. Plot and projection
The upper and lower lines are anchored to the chosen pivot pairs and extend to the left. The script also projects each line to the current bar to compute the live upper and lower channel prices. Those levels drive the breakout checks and alerts.
5. Breakouts and alerts
A breakout is detected when the bar closes above the projected upper line or closes below the projected lower line, after applying the tolerance buffer. Triangle markers highlight fresh breakouts, and you can enable alert conditions to automate notification or strategy handoff.
Inputs:
ZigZag
Price deviation for reversals (%)
Default 0.2. Larger values produce fewer, larger swings. Smaller values produce more, smaller swings.
Pivot legs
Default 2. Controls the lookback depth ZigZag uses to confirm pivots.
ZigZag Color
Visual only.
Tip: If you are not seeing a stable channel, increase the ZigZag percentage to reduce minor swings.
Channel search
Number of recent pivots to consider
Default 12. Higher values search more history and try more channel combinations. Lower values make the search faster and more reactive.
Max slope difference for parallel
Default 0.0005. Maximum allowed difference between the upper and lower line slopes. Smaller values enforce stricter parallelism.
Max price tolerance outside channel
Default 0.0. A buffer added to the channel boundaries during validation and breakout checks. Use this to ignore tiny wicks that poke the lines.
Minimum inside to outside pivots ratio for valid channel (0.00–1.00)
Default 1.00. Require that at least this fraction of checked pivots lie inside the channel. For a more permissive fit, try 0.60 to 0.85.
Styling
Upper Line Color
Lower Line Color
Breakout Above Color
Breakout Below Color
Plots and visuals
Upper channel line
Lower channel line
Triangle markers on the bar that first confirms a close outside the channel, above or below.
Lines extend left from their pivot anchors. Projection to the current bar is used internally to test for breakouts and to set alerts.
Alerts
The script defines two alert conditions:
Close Above Channel
Triggers when the bar closes above the projected upper line plus tolerance.
Close Below Channel
Triggers when the bar closes below the projected lower line minus tolerance.
Practical usage
Trend channels
In a steady trend, a high inside ratio with a moderate width often highlights the dominant channel. Consider trend entries near the lower line in an uptrend or near the upper line in a downtrend, with exits or stops beyond the opposite boundary.
Breakout trades
Combine the channel breakout alert with volume or a separate momentum filter. The tolerance input helps avoid false triggers from small wicks.
Tuning for timeframe and symbol
• Faster markets or lower timeframes usually benefit from a larger ZigZag percentage and a smaller pivot count.
• Slower markets or higher timeframes can use more pivots and a tighter slope difference to enforce cleaner geometry.
Notes and limitations
Channels are derived from ZigZag pivots. If your ZigZag settings change, the detected channel will also change.
The script plots only the single best channel at any time to keep the chart clean.
Breakout markers appear on confirmed bars. For historical bars, markers appear only where a breakout would have been confirmed at that time.
Lines extend left from their anchors. The script projects the lines internally to the current bar for checks and alerts.
License and attribution
License
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
Open source for educational and personal use only. Commercial use requires written permission.
Attribution
© 2025 SciQua — Joshua Danford
Libraries
Uses TradingView/ZigZag/7.
Changelog
v1.0
Initial release. Automatic parallel channel detection from ZigZag pivots, quality scoring, live plotting, and close-based breakout alerts.
FAQ
Why do I not see any channel sometimes?
There may not be a valid pair of highs and lows that pass the slope, inside ratio, and tolerance checks. Loosen the constraints by increasing Max slope difference, lowering Minimum inside ratio, or increasing the ZigZag percentage.
The channel looks too narrow or too wide?
Adjust Number of recent pivots and Minimum inside ratio. A higher inside ratio tends to favor cleaner, sometimes wider channels. A lower ratio may admit narrower, more reactive channels.
How can I reduce false breakout alerts?
Increase Max price tolerance outside channel to ignore small wicks. Add a volume or momentum confirmation in your personal alert workflow.
Thank you for using Auto Channel . Feedback and improvements are welcome.
Golden Launch Pad🔰 Golden Launch Pad
This indicator identifies high-probability bullish setups by analyzing the relationship between multiple moving averages (MAs). A “Golden Launch Pad” is formed when the following five conditions are met simultaneously:
📌 Launch Pad Criteria (all must be true):
MAs Are Tightly Grouped
The selected MAs must be close together, measured using the Z-score spread — the difference between the highest and lowest Z-scores of the MAs.
Z-scores are calculated relative to the average and standard deviation of price over a user-defined window.
This normalizes MA distance based on volatility, making the signal adaptive across different assets.
MAs Are Bullishly Stacked
The MAs must be in strict ascending order: MA1 > MA2 > MA3 > ... > MA(n).
This ensures the short-term trend leads the longer-term trend — a classic sign of bullish structure.
All MAs Have Positive Slope
Each MA must be rising, based on a lookback period that is a percentage of its length (e.g. 30% of the MA’s bars).
This confirms momentum and avoids signals during sideways or weakening trends.
Price Is Above the Fastest MA
The current close must be higher than the first (fastest) moving average.
This adds a momentum filter and reduces false positives.
Price Is Near the MA Cluster
The current price must be close to the average of all selected MAs.
Proximity is measured in standard deviations (e.g. within 1.0), ensuring the price hasn't already made a large move away from the setup zone.
⚙️ Customization Options:
Use 2 to 6 MAs for the stack
Choose from SMA, EMA, WMA, VWMA for each MA
Adjustable Z-score window and spread threshold
Dynamic slope lookback based on MA length
Volatility-adjusted price proximity filter
🧠 Use Case:
This indicator helps traders visually and systematically detect strong continuation setups — often appearing before breakouts or sustained uptrends. It works well on intraday, swing, and positional timeframes across all asset classes.
For best results, combine with volume, breakout structure, or multi-timeframe confirmation.
HMA Strategy HMA Strat (Hull Moving Average Strategy) Indicator Description
The HMA Strat is a trend-following strategy that uses a dual Hull Moving Average system. It helps identify continuation and high-probability reversal signals in both bullish and bearish market conditions. The strategy aims to reduce noise while maintaining sensitivity to changes in price momentum by comparing the standard Hull Moving Average (HMA) to a smoothed version.
This strategy is ideal for traders who focus on systematic backtesting, momentum entry, and simple charts. It features integrated plotting, color-zoning, and strategic actions based on TradingView's strategy engine. The system provides dynamic long and short signals based on crossover logic.
Key Features
Dual HMA Framework: To improve signal quality and reduce choppy trend identification, it compares a regular HMA with a smoothed version (HMA3).
Entries Based on Crossover
RSI Z‑Score + TableRSI Z-Score + Table
This script calculates the Z-Score of the RSI (Relative Strength Index), which standardizes RSI based on its own recent history.
What It Shows:
RSI Z-Score = (Current RSI - Mean RSI) / Standard Deviation
This tells you how extreme the current RSI is compared to its historical values.
A table displays:
Current RSI
Rolling Mean
RSI Z-Score
How to Use:
Z-Score > +2 = Statistically overbought
Z-Score < -2 = Statistically oversold
Use it to time reversals or overextension in RSI behavior.
🔒 Based on rolling lookback window — fully customizable.
Author:
Tags: #RSI #ZScore #Momentum #StatisticalEdge #MeanReversion #Crypto
ICT OTE Market MakerICT OTE Market Maker
Implementing ICT and automatically identifies OTE zones to minimize drawdowns.
Kairi Trend Oscillator [T3][T69]📌 Overview
The Kairi Trend Oscillator is a Japanese-inspired hybrid oscillator combining Heikin-Ashi trend clarity with the Kairi (乖離率) indicator — a measure of price deviation from a moving average. This dual-layer system gives you both trend direction and trend strength/health, designed to highlight trend maturity and avoid overextended entries.
✨ Features
Heikin-Ashi or normal candlestick input modes
Multiple moving average options: SMA, EMA, DEMA, VWMA, and Kijun
Visual color-coded trend zones: overbought, oversold, healthy, weak, and reversal conditions
Full Kairi column plot with dynamic coloring
Adaptive logic for trend detection (linear regression or Heikin-Ashi structure)
Built-in reversal detection based on divergence between Kairi and trend direction
⚙️ How to Use
Choose Candle Type: Select Heiken Ashi or Normal Candlesticks via the Candle Mode dropdown.
Select Source: Choose open, high, low, or close as the input for Kairi computation.
Set MA Type & Length: Configure the moving average mode and its length under Moving Average Settings.
Interpret the Plot:
Green/Red bars: Show Kairi oscillator values above/below 0
Background color: Shows current trend (green = uptrend, red = downtrend)
Candle color overlays:
🟩 Teal = Overextended Bulls
🟥 Maroon = Overextended Bears
✅ Green = Healthy Uptrend
🔻 Red = Healthy Downtrend
🟨 Light tones = Weak trends
🔄 Blue/Fuchsia = Possible reversal detected
🔧 Configuration
Inputs:
Candle Mode: Heiken Ashi or Normal Candle Sticks
Source: Open, High, Low, Close
MA Mode: SMA, EMA, DEMA, VWMA, or Kijun
MA Length: Default is 29
🧪 Advanced Tips
Use Heikin-Ashi mode for better trend smoothing.
Kairi divergence (e.g., bullish Kairi in a downtrend) may signal upcoming reversal — watch for blue or fuchsia bars.
Combine with momentum indicators (e.g. RSI or MACD) for confluence-based setups.
For mean reversion strategies, fade extreme Kairi readings (> ±5%).
⚠️ Limitations
Not suited for ranging markets without trend.
Kairi extremes may remain elevated in strong trends — avoid early counter-trend entries.
Reversal logic is not a confirmation signal; use with caution.
📌 Disclaimer
This script is educational and illustrative. Always backtest thoroughly before using in live markets.
Auto NWOG Levels x5Indicator Name: Auto NWOG Levels with Labels
Description:
This indicator automatically plots the NWOG (Naked Weekly Open Gap) price levels on your chart. It includes:
NWOG High & Low: Solid maroon lines representing the high and low boundaries of the NWOG zone.
Intermediate Levels: Dotted maroon lines at 25%, 50%, and 75% levels within the NWOG range, providing visual guidance for possible support/resistance zones.
Labels: Each level is labeled on the right side of the chart, including a customizable date label for context.
Extendable Lines: All lines extend horizontally for a customizable number of bars (default: 500 bars) for better visibility over time.
Inputs:
NWOG High: Price level of the NWOG high.
NWOG Low: Price level of the NWOG low.
Date Label: Text to be displayed on the labels (e.g., the week of the NWOG).
This tool is useful for traders who monitor weekly price gaps and want clear, persistent levels drawn automatically on their charts.
3 EMA cross overThis Pine Script displays the 3 EMA trend status for a list of popular stocks in a dynamic table. It calculates and monitors 13 EMA, 48 EMA, and 200 EMA for each ticker to detect bullish or bearish alignment.
Best Use:
Use this script to quickly scan market trends across multiple stocks and identify potential trade opportunities based on EMA alignment.
EMA 8 & 21 crossover change EMA 8 & 21 crossover change Indicator This custom TradingView indicator highlights trend shifts by changing candle colors when the 8 EMA crosses the 21 EMA. Bullish crossovers turn candles different color, while bearish crossovers turns different as well—making it easy to visually identify emerging trends and momentum shifts in real time.
Srini B - Zero Lag Trend SignalsFinal version with minor changes. This indicator displays buy & sell alerts as per settings defined and comes out really well. Just my own personal indicator for own use.
Trailing TP Bot • Crossover-based Trend Strategy using two simple moving averages (SMAs)
• Includes Take Profit and optional Trailing Take Profit
• Trades both long and short
• No pyramiding, i.e., one position at a time
X1 newbie code trying to create
✅ Script Behavior on Other Stocks
• If you’re on a chart for SYM, it calculates indicators using SYM’s data.
• If you switch to NVDA, AVGO, CRDO, etc., it will automatically update to reflect that ticker’s:
• Price
• 50-day moving average
• Volume
• MACD
• RSI
• Index comparison
with 1. 📊 Volume shows in its own pane
2. ✅ MACD and RSI are included in separate panes (as promised)
3. 🎯 Script works cleanly with any ticker
Price Widget on ScreenSimple yet useful script, to see the PRICE/CHANGE of the chart you are on. I use it in my 6/8 charts screen, so you can see the graph and the price.
Night and Day Session Highlighter % (Valehson)- This script splits the day into night and day sessions and displays the price change in percentage.
- Этот скрипт разделяет день на вечерние и дневные сессии и показывает изменение цены в процентах.
Coefficient of Variance BarsThe script calculates the Coefficient of Variance (CV), which is the standard deviation (a measure of volatility) divided by the average price over a set period. In simple terms, it tells you how volatile the market is in relation to its current price level.
• Highlighting Volatility Increase: By default, the script colors the bars when this relative volatility makes a new high. This suggests that the market is "waking up" and that a significant price move could be starting.
• Highlighting Low Volatility (Inverse Mode): When you uncheck the box in the settings, it highlights periods where volatility is not making a new high. This is useful for spotting quiet, consolidating markets.
________________________________________
How to Use It in Trading
This indicator is a complementary tool and should be used with other forms of analysis, like price action or trend indicators.
1. Spotting Potential Breakouts
The most common use is to anticipate breakouts. When the price is moving in a tight range (consolidation) and you suddenly see a highlighted bar, it signals a surge in volatility. This is often the catalyst that pushes the price out of the range.
• Strategy: Look for a period of price consolidation. When a bar is colored, indicating a volatility spike, look for a confirmation of a breakout (e.g., a candle closing above resistance or below support) and consider entering a trade in that direction.
2. Identifying Ranging Markets
By switching to the inverse mode, you can easily see when the market is quiet and range-bound.
• Strategy: When the bars are consistently highlighted in inverse mode, it confirms a ranging market. This is the ideal environment for strategies that capitalize on sideways movement, such as using oscillators (like RSI or Stochastics) to trade between support and resistance levels.
3. Gauging Trend Strength and Exhaustion
In a strong, ongoing trend, you'll likely see intermittent volatility spikes confirming the momentum. However, a sudden, massive spike in volatility after a very long trend might signal a "climax," potentially indicating the trend is exhausted and a reversal could be near.
MTF Clean Panelsit is bigger model of a earlier model then i have made earlier it helps you see multiple timeframes together and includes more daily timeframe and have also been introduced a new 4 hours candle structure
SmartMind2The MACD (Moving Average Convergence Divergence) is a popular technical indicator in trading, primarily used to detect trends and possible reversal points.
How is the MACD structured?
The MACD indicator consists of three components:
MACD Line:
Calculated as the difference between two exponential moving averages (EMAs), commonly 12 and 26 periods.
Formula:
MACD Line
=
𝐸
𝑀
𝐴
12
(
Price
)
−
𝐸
𝑀
𝐴
26
(
Price
)
MACD Line=EMA
12
(Price)−EMA
26
(Price)
Signal Line:
An exponential moving average (usually 9 periods) of the MACD line.
Formula:
Signal Line
=
𝐸
𝑀
𝐴
9
(
MACD Line
)
Signal Line=EMA
9
(MACD Line)
Histogram:
Graphically represents the difference between the MACD line and the Signal line.
Formula:
Histogram
=
MACD Line
−
Signal Line
Histogram=MACD Line−Signal Line
Interpretation of MACD:
Buy Signal: Occurs when the MACD line crosses above the signal line (bullish signal).
Sell Signal: Occurs when the MACD line crosses below the signal line (bearish signal).
Trend Reversal: A divergence between price movements and the MACD indicates a potential reversal (e.g., rising prices with a falling MACD).
BTC Fractal Momentum ExtremesDescription – BTC Fractal Momentum Extremes (BTCFME)
BTC Fractal Momentum Extremes (BTCFME) is a multi-factor, multi-method technical indicator designed to detect potential top and bottom reversal points in Bitcoin price action by integrating a confluence of unconventional signals. It combines fractals, adaptive momentum, volume dynamics, price velocity convergence, and market structure shifts — all filtered through real-time volatility and contextualized by temporal market conditions.
This tool is best used by traders looking to spot high-confidence turning points on intraday or swing timeframes, and works particularly well in volatile, momentum-driven environments.
Key Components & Methodology
BTCFME utilizes five independent signal-generation methods:
1. Fractal Volume Divergence
Detects reversal fractals in price (5-bar patterns) and validates them with volume anomalies:
Volume spikes (e.g., climax moves) or
Volume exhaustion (e.g., waning participation)
2. Adaptive Momentum Oscillator
Calculates momentum normalized by ATR-adjusted volatility, filtering out noise in choppy markets. It spots directional shifts when momentum inflects from extreme levels.
3. Market Structure Breaks
Identifies dynamic support and resistance using a configurable lookback, and flags potential breakouts or breakdowns from those levels.
4. Price Velocity Convergence
Analyzes the rate of change (velocity) and its acceleration. When both compress within a narrow volatility range, it signals a potential inflection zone.
5. Temporal Confluence Filter
Signals are only considered valid during active market hours (9 AM – 4 PM, excluding weekends) to reduce false positives during illiquid or inefficient trading periods.
Signal Logic & Sensitivity
Signals are generated when at least 3 out of 4 core methods agree, controlled by the Signal Sensitivity setting:
1 (High Sensitivity) = Trigger signals with fewer confirmations
5 (Low Sensitivity) = Require stronger multi-factor confluence
🔹 Buy (Bottom) Signals trigger when:
Bullish fractals appear
Momentum is deeply negative but improving
Price tests structure support
Velocity compresses below average
🔺 Sell (Top) Signals trigger when:
Bearish fractals with volume spikes appear
Momentum peaks and starts to decline
Price tests resistance
Velocity compresses near highs
Visual Features
Arrows: Buy signals = green arrow below candle. Sell signals = red arrow above candle.
Background Color: Indicates overall momentum regime (green = bullish bias, red = bearish, gray = neutral).
Dynamic Support & Resistance Lines: Based on recent swing highs/lows.
Signal Table (top-right): Shows real-time stats on:
Momentum value
Volatility factor
Volume strength (vs. 20-SMA)
Market structure status
Alerts
You can set alerts using the built-in conditions:
BTC Bottom Alert → Fires on potential market bottoms.
BTC Top Alert → Fires on potential market tops.
These alerts are filtered to avoid whipsaw conditions, by checking that opposite signals did not trigger in the last 2 candles.
How to Use
Timeframes: Best suited for 1H–4H and Daily BTC charts, but adaptable to others with parameter tuning.
Confirm with Price Action: Use BTCFME signals in conjunction with candlestick patterns or S/R zones for best results.
Adjust Sensitivity: Lower values catch more signals (good for scalping), higher values filter for stronger reversals (ideal for swing trades).
Use in Trending or Reversing Markets: BTCFME performs best during trending environments or volatile reversals — avoid during prolonged flat/ranging zones.
Notes & Recommendations
BTCFME is not a standalone buy/sell signal; combine it with risk management and trend confirmation tools.
Avoid using it during extremely low-volume sessions (e.g., late weekends).
Adjust parameters based on BTC's evolving volatility and your trading style.