Exhaustion Zone [by rukich]🟠 OVERVIEW
The indicator shows asset exhaustion — an area of interest where potential buying opportunities can be considered.
🟠 COMPONENTS
The indicator is based on a combination of fundamental tools designed to properly react to price movement and volatility.
It is displayed on the chart as a green line. When the price touches the indicator line, the candle lights up and is highlighted in green.
🟠 HOW TO USE
The best timeframes for using the indicator: 1D and 3D.
Since the indicator is used on higher timeframes, the price rarely reaches the indicator line, but it often shows a strong reaction when it does, which suggests that the indicator can be used for investment purposes.
Since the zone suggests potential buying opportunities, it’s best to act from the zone only when a reaction is confirmed. Confirmation may include a candle close beyond nearby fractals or the invalidation of the nearest resistance zone.
🟠 CONCLUSION
The indicator highlights an area of interest where, upon confirmation of a reaction, buying opportunities may be considered.
Chu kỳ
Zonas de Liquidez Pro + Puntos de GiroRequirements for marking 💧:✅ High crosses the zone✅ Close returns inside (false breakout / fakeout)✅ Volume is 20% greater than the average✅ Occurs within the last 10 bars(Note: This last requirement is stated in the text but not explicitly in the code snippet provided)📚 Psychology Behind the SweepWho lost money?Traders with stops placed too tightlyBuyers who entered "on the breakout"Bots with automatic orders placed aboveWho made money?Smart Money / InstitutionsThey sold at a high priceThey hunted for liquidity before moving the priceThey know where retail stops are located🎯 How to Use the Drops in Your TradingGolden Rule:💧 near a strong zone + Multiple rejections = PROBABLE REVERSALStrategy:See 💧 at resistance → Look for SHORTSee 💧 at support → Look for LONGPrice returns to the swept zone → High-probability setupStop beyond the sweep high/low → ProtectionPractical Example:If you see 💧 LIQ at $111,263 (resistance)→ Wait for bearish rejection→ Entry: Sell at $110,800→ Stop: $111,500 (above the sweep high)→ Target: Next support level⚠️ Common Mistakes❌ Mistake 1: Trading the breakoutPrice breaks $111k → "It's going to the moon!" → Buy💧 LIQ appears → It was a trap → Drop → Loss✅ Correct Approach:Price breaks $111k → Check if there is 💧 LIQ💧 appears → "It's a trap" → Wait for rejection → Sell❌ Mistake 2: Ignoring the volumeNot all sweeps are equal.Sweeps with high volume are more reliable.No volume = it could be noise.🎓 Ultra-Fast SummaryElementMeaning💧 LIQLiquidity sweep detectedAt ResistanceBullish trap → Prepare for a shortAt SupportBearish trap → Prepare for a longWith High VolumeMore reliable signalNear Strong Zone High probability of reversal🔥 The Magic of Your IndicatorScenarioWithout this IndicatorWith this IndicatorAction"The price broke $111k, I'm buying!""There is 💧 LIQ + zone + rejections → It's a trap."ResultYou loseYou avoid a loss or gain on the short
Z-EMA Fusion BandsDesigned with crypto markets in mind, particularly Bitcoin , it builds on the concept that the 1-Week 50 EMA often serves as a long-term bull/bear market threshold — an area where institutional bias, momentum shifts, and cyclical rotations tend to occur.
🔹 Core Components & Synergies:
1. 1W 50 EMA (Higher Timeframe)
- This EMA is calculated on a weekly timeframe, regardless of your current chart.
- In crypto, price above the 1W 50 EMA typically aligns with long-term bull market phases, while extended periods below can signify bearish macro structure.
- The slope of the EMA is also analyzed to add directional confidence to trend strength.
2. ±1 Standard Deviation Bands
- Surrounding the 50 EMA, these bands visualize normal price dispersion relative to trend.
- When price consistently hugs or breaks outside these bands, it often reflects market expansion, volatility events, or mean-reversion opportunity.
3. Z-Score Gradient Fill
- The area between the bands is filled using a Z-score-based gradient, which dynamically adjusts color based on how far price is from the EMA (in terms of standard deviations).
- Color shifts from aqua (near EMA) to fuchsia (far from EMA) help you spot price compression, equilibrium, or overextension at a glance.
- The fill also uses transparency scaling, making it fade as price stretches further, emphasizing the core structure.
4. Directional EMA Coloring
- The EMA line itself is colored based on:
- The slope of the EMA (rising/falling)
- Whether the HTF candle is bullish or bearish
- This provides intuitive color-coded confirmation of momentum alignment or potential exhaustion.
5. Price/EMA Divergence Detection
- The script detects bullish and bearish divergence between price and the EMA (rather than using a traditional oscillator).
- Bullish Divergence: Price makes a lower low, EMA makes a higher low.
- Bearish Divergence: Price makes a higher high, EMA makes a lower high.
- These signals often mark transitional zones where momentum fades before a trend reversal or correction.
📊 Suggested Uses:
🔸 Swing and Position Trading:
- Use the 1W 50 EMA as a macro-trend anchor.
- Stay long-biased when price is above with positive slope, and short-biased when below.
- Consider entries near band edges for mean-reversion plays, especially if confluence forms with divergence signals.
🔸 Volatility-Based Filtering:
- Use the Z-score fill to identify volatility compression (near EMA) or expansion (edge of bands).
- Combine this with breakout strategies or dynamic position sizing.
🔸 Divergence Confirmation:
- Combine divergence markers with HTF EMA slope for high-probability setups.
- Bullish div + EMA flattening/rising can signal the start of accumulation after a macro dip.
🔸 Multi-Timeframe Analysis:
- Works well as a structural overlay on intraday charts (1H, 4H, 1D).
- Use this indicator to track long-term bias while executing lower timeframe trades.
⚠️ Disclaimer:
This indicator is designed for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset.
Always use proper risk management, and combine with your own analysis, tools, and strategy. Performance in past market conditions does not guarantee future results.
Cycle Forecast + MACD Divergence (Kombi v6 FULL)This indicator merges two powerful analytical models:
🔮 1. Dominant Cycle Forecasting
The script automatically identifies major structural market cycles by detecting significant swing highs and lows.
It then fits a sinusoidal wave (amplitude, phase, and period) to the dominant cycle and projects it into the future.
Features:
Automatically extracts large, dominant cycles (no noise, no small swings)
Smooth sinusoidal historical cycle visualization
Future cycle projection for 1–2 upcoming cycle periods
Dynamic amplitude and phase alignment based on market structure
Helps anticipate cycle tops and bottoms for long-term timing
📉 2. MACD Divergence Detection
Full divergence detection engine using MACD or MACD Histogram.
Detects:
Bullish Divergence
Price ↓ while MACD (or Histogram) ↑
→ Possible trend reversal upward
Bearish Divergence
Price ↑ while MACD (or Histogram) ↓
→ Possible trend reversal downward
Features:
Pivot-based divergence confirmation (no repaint)
Choice of MACD Line or Histogram as divergence source
Labels + connecting divergence lines
Works across all markets and timeframes
⚙️ Smart Auto-Pivot System
The indicator optionally adjusts pivot sensitivity based on timeframe:
Weekly → tighter pivots
Daily → medium pivots
Intraday → wider pivots
Ensures stable, meaningful divergence signals even on higher timeframes.
🎯 Use cases
Identify upcoming cycle highs/lows
Spot major trend reversals early
Improve swing entries with MACD divergences near cycle turns
Combine forecasting with momentum exhaustion
Suitable for crypto, stocks, indices, forex & commodities
🧠 Why this indicator is powerful
This tool blends time-based cycle forecasting with momentum-based divergence signals, giving you a unique perspective of where the market is likely to turn.
Cycles reveal when a move may occur.
Divergences reveal why a move may occur.
Combined, they offer highly effective market timing.
PyraTime Intraday Cycles**Concept and Methodology**
PyraTime Intraday Cycles is a technical analysis tool designed to introduce the concept of **Temporal Cycle Projection**. While most indicators analyze price action (Y-axis), this tool focuses exclusively on the X-axis (Time).
By anchoring to a specific "Origin Pivot" (a user-defined High or Low), the script projects harmonic time intervals into the future. These vertical vectors serve as a grid, helping traders identify moments where time-based cycles may align with price structure.
**Technical Features**
This edition is optimized for **Multi-Timeframe Harmonic Flows**, utilizing a fixed algorithm for key intervals:
* **Anchor Point Logic:** The user manually selects a significant market pivot. The script calculates forward projections from this exact timestamp.
* **Standard Rhythms:** This version renders the **5-minute**, **15-minute**, **1-hour**, and **Daily** harmonic sequences. This allows for analysis across scalping, intraday, and swing trading structures.
* **Visual Confluence:** The indicator draws vertical lines to highlight potential zones of temporal exhaustion or acceleration.
**How to Use**
1. **Identify a Pivot:** Locate a significant High or Low on the chart.
2. **Set the Origin:** Open the settings and input the date/time of that pivot.
3. **Analyze Confluence:** Watch how price behaves when it approaches a vertical line. If price hits a key support/resistance level *at the same time* it hits a PyraTime vertical line, this is considered a high-probability "Time/Price" intersection.
**Version Comparison**
This script represents the foundational layer of the Great Pyramid system (PyraTime Apex).
* **PyraTime Intraday Cycles (This Script):** Focuses on Standard Timeframes (5m, 15m, 1h, Daily).
* **GPM Architecture (Advanced):** The full methodology extends these calculations to Esoteric Sequences (33, 144, 108), includes 3x Cycle Extensions, and features a Predictive Dashboard for complex multi-timeframe analysis.
**Disclaimer**
This tool is for educational and analytical purposes only. It identifies time cycles, not price direction. Past performance of a time cycle does not guarantee future results.
Session Markers - JDK AnalysisSession Markers is a tool designed to study how markets behave during specific, recurring time windows. Many traders know that price behaves differently depending on the day of the week, the time of the day, or particular market sessions such as the weekly open, the London session, or the New York open. This indicator makes those recurring windows visible on the chart and then analyzes what price typically does inside them. The result is a clear statistical understanding of how a chosen session behaves, both in direction and in strength.
The script works by allowing the trader to define any time window using a start day and time and an end day and time. Every time this window occurs on the chart, the indicator highlights it with a full-height vertical band. These visual markers reveal patterns that are otherwise difficult to detect manually, such as whether certain sessions tend to trend, reverse, consolidate, or create large imbalances. They also help the trader quickly scan through historical price action to see how the market has behaved under similar conditions.
For every completed session window, the indicator measures how much price changed from the moment the window began to the moment it ended. Instead of using raw price differences, it converts these changes into percentage moves. This makes the measurement consistent across different price ranges and market regimes. A one-percent move always has the same meaning, whether the asset is trading at 100 or 50,000. These percentage moves are collected for a user-selected number of past sessions, creating a dataset of how the market has behaved in the chosen time window.
Based on this dataset, the indicator generates several statistics. It counts how many past sessions closed higher and how many closed lower, producing a directional tendency. It also computes the probability of an upward session by dividing the number of positive sessions by the total. More importantly, it calculates the average percentage movement for all sessions in the lookback period. This average move reflects not just the direction but also the magnitude of price changes. A session with frequent small upward moves but occasional large downward moves will show a negative average movement, even if more sessions ended positive. This creates a more realistic representation of true market behavior.
Using this average movement, the script determines a “Bias” for the session. If the average percentage move is positive, the bias is considered bullish. If it is negative, the bias is bearish. If the values are very close to zero, the bias is neutral. This way, the indicator takes both frequency and impact into account, producing a magnitude-aware assessment instead of one that only counts wins and losses. A sequence such as +5%, –1% results in a bullish bias because the overall impact is strongly positive. On the other hand, a series of small gains followed by a large drop produces a bearish bias even if more sessions ended positive, because the large move dominates the average. This provides a far more truthful picture of what the market tends to do during the chosen window.
All relevant statistics are displayed neatly in a small panel in the top-right corner of the chart. The panel updates in real time as new sessions complete and older ones fall out of the lookback range. It shows how many sessions were analyzed, how many ended up or down, the probability of an upward move, the average percentage change, and the final bias. The background color of the panel instantly reflects that bias, making it easy to interpret at a glance.
To use the tool effectively, the trader simply needs to define a time window of interest. This could be something like the weekly opening window from Sunday to Monday, the London open each day, or even a unique custom window. After selecting how many past sessions to analyze, the indicator takes care of the rest. The vertical session markers reveal the structure visually. The statistics summarize the historical behavior objectively. The magnitude-weighted bias provides a realistic indication of whether the window tends to produce upward or downward movement on average.
Session Markers is helpful because it translates repeated market timing behavior into measurable data. It exposes hidden tendencies that are easy to feel intuitively but hard to quantify manually. By analyzing both direction and magnitude, it prevents misleading interpretations that can arise from looking only at win rates. It helps traders understand whether a session typically produces meaningful moves or just small noise, whether it tends to trend or reverse, and whether its behavior has recently changed. Whether used for bias building, session filtering, or deeper market research, it offers a structured framework for understanding the market through time-based patterns.
DeepClean Linear indicator 1. Indicator Name
DeepClean Linear indicator
2. One-Line Introduction
A trend-recognition indicator that overlays a “transparent wave” on price, removing noise and revealing directional bias and trend intensity in a highly intuitive visual form.
3. Overall Summary
The DeepClean Linear indicator calculates trend direction using changes in linear regression slope and determines trend strength by comparing how consistently the regression line moves over a defined lookback window.
Rather than merely identifying trend direction, the indicator applies a triple-layer noise-filtering process (EMA → SMA → RMA) to produce a clean, wave-shaped data line that filters out unnecessary market noise.
This transparent wave sits directly on top of price, allowing traders to visually compare price movement and trend strength at the same time.
A stronger trend results in a taller, thicker wave, while weakening momentum causes the wave to thin, making it easier to spot trend continuation, exhaustion, or upcoming reversal.
Color automatically shifts based on trend:
Bright cyan/teal during bullish conditions
Reddish tones during bearish conditions
Transparency dynamically adjusts depending on strength
The indicator excels at identifying the true underlying trend by ignoring minor fluctuations and is well suited for scalping, swing trading, and position trading.
It also significantly reduces false signals in ranging markets, making it ideal for trend-following strategies.
4. Advantages
① Ultra-Clean Noise-Reduced Wave
Utilizes a 3-stage smoothing filter (EMA → SMA → RMA) to produce a much cleaner wave than standard moving averages, highlighting only core trend movement.
② Trend Direction & Strength at a Glance
Based on comparative linear regression behavior, the indicator quantifies both direction and strength, making convergence/divergence highly visible.
③ Intuitive Price Overlay Visualization
The semi-transparent wave sits directly on price action, allowing traders to instantly see divergence from price, trend weakening, or early turning points.
④ Dynamic Transparency Coloring
Strong trends appear bold and intense, while weaker trends fade visually—making signal interpretation effortless.
⑤ Excellent Range Filtering
During low-direction phases (state = 0), the wave turns neutral, preventing forced or premature entries.
⑥ Multi-Timeframe Compatibility
The wave remains stable from 1-minute to weekly charts, making it suitable for trend analysis, execution, and risk control across all timeframes.
📌 Core Concept Overview
The indicator evaluates the relative comparison of linear regression values over the last n periods.
A positive trend value indicates bullish bias
A negative trend value indicates bearish bias
Intensity represents strength and controls wave height
waveTop / waveBot define the visual wave area relative to price
State Values
1 = Bullish Trend
-1 = Bearish Trend
0 = Neutral / Weak Direction
⚙️ Settings Overview
Option Description
Trend Lookback (n) Comparison window for regression slope. Higher = bigger trend focus.
Range Tolerance (%) Strength threshold to classify bullish/bearish movement. Higher = more conservative.
Source Price source for regression calculations.
Linear Reg Length Length of the linear regression.
Noise Filter Strength (smoothK) Controls the smoothing intensity. Higher = smoother wave.
Wave Amplitude (amp) Adjusts the height/thickness of the wave.
Bull/Bear Color Colors for bullish/bearish waves.
Base Transparency Base opacity level; modified dynamically by trend strength.
📈 Bullish Timing Recognition Examples
Wave begins turning brighter teal and more opaque, indicating strengthening upward pressure.
waveTop expands above price, signaling early trend expansion.
State flips to 1, often marking a trend restart or early reversal phase.
A steadily rising wave height suggests sustained bullish momentum.
📉 Bearish Timing Recognition Examples
Wave shifts into red tones, showing bearish dominance.
waveBot expands below price, indicating rising downside volatility.
State stays at -1 while intensity increases, signaling entry into strong downtrend conditions.
A shift from weak → strong bearish intensity can provide short-entry timing cues.
🧪 Recommended Usage
Use as a core component in trend-following systems
Adjust position size based on wave thickness (trend strength)
Combine with RSI/MACD to reduce false signals during overbought/oversold zones
Sudden wave expansion during volatility increases helps detect trend acceleration
In sideways markets, frequent state = 0 readings help avoid low-probability trades
🔒 Important Notes
As a trend-based indicator, it may misread choppy/ranging markets
Because of smoothing, signals may appear slightly delayed
Extreme news volatility can temporarily distort trend clarity
Kaufman Adaptive Moving Average (fixed TF)**Kaufman Adaptive Moving Average – fixed Timeframe version (Pine v5)**
This script is a Pine Script v5 adaptation of the original *Kaufman Adaptive Moving Average* by Alex Orekhov (everget), extended with the ability to calculate KAMA on a **fixed timeframe**. You can keep the calculation on your current chart timeframe or lock it to any higher timeframe (for example 1D on a 1H chart) and still display the line on your active chart.
KAMA automatically adjusts its smoothing based on price efficiency: it becomes faster in trending markets and slower in choppy ones. This version colors the line green/red depending on the direction of the KAMA on the **selected timeframe**, and includes an optional “await bar confirmation” setting to avoid reacting to still-forming bars.
**Main features**
* Original Kaufman Adaptive Moving Average logic (length, fast/slow EMA lengths, source input)
* Optional **fixed timeframe** input for the KAMA calculation (leave empty to use chart timeframe)
* Non-repainting higher-timeframe calculation using `request.security()`
* Dynamic color change (green/red) based on KAMA trend on the chosen timeframe
* Optional bar-confirmation filter for more conservative color changes
* Built-in alert on color change (trend shift)
**How to use**
1. Add the indicator to your chart.
2. Leave “KAMA Timeframe” empty to use the chart’s timeframe (standard KAMA).
3. Or set “KAMA Timeframe” to a higher TF (e.g. `60`, `240`, `D`, `W`) to overlay a higher-timeframe KAMA on a lower-timeframe chart.
4. Use the color changes or the alert to identify potential trend shifts in the selected timeframe while watching price action on your working timeframe.
PyraTime Harmonic 369Concept and Methodology PyraTime Harmonic 369 is a quantitative time-projection tool designed to apply Modular Arithmetic to market analysis. Unlike linear time indicators, this tool projects non-linear integer sequences derived from Digital Root Summation (Base-9 Reduction).
The core logic utilizes the mathematical progression of the 3-6-9 constants. By anchoring to a user-defined "Origin Pivot," the script projects three distinct harmonic triads to identify potential Temporal Confluence—moments where mathematical time cycles align with price action.
Technical Features This script focuses on the Standard Scalar (1x) projection of the Digital Root sequence:
The Root-3 Triad (Red): Projects intervals of 174, 285, 396. (Mathematical Sum: 1+7+4=12→3)
The Root-6 Triad (Green): Projects intervals of 417, 528, 639. (Mathematical Sum: 4+1+7=12→3, inverted)
The Root-9 Triad (Blue): Projects intervals of 741, 852, 963. (Mathematical Sum: 7+4+1=12→3... completion to 9)
How to Use
Set Anchor: Input the time of a significant High or Low in the settings.
Select Resolution: This tool is optimized for 1-minute (Micro-Harmonics) and 15-minute (Intraday Harmonics) charts.
Analyze Clusters: The vertical lines represent calculated harmonic intervals. Traders look for "Clusters" where a Root-3 and Root-9 cycle land on adjacent bars, indicating a high-probability pivot.
System Architecture & Version Comparison This script represents the foundational layer of the PyraTime ecosystem.
This Script (PyraTime Harmonic 369):
Scalar: Standard 1x Multiplier only.
Focus: Intraday & Micro-structure (1m, 15m).
Engine: Core Digital Root Integers.
PyraTime Harmonic Matrix (Advanced Edition):
Scalar Engine: Unlocks Quad-Fractal (4x), Tri-Fractal (3x), and Bi-Fractal (2x) multipliers for institutional cycle analysis.
Apex Logic: Auto-detection of the "963" Completion Sequence (Gold Highlight).
Event Horizon: Includes a live Predictive Dashboard that calculates the time-delta to the next harmonic event across all scalar groups.
Disclaimer This tool is for the educational analysis of Number Theory in financial markets. It projects time intervals and does not predict price direction. Past performance does not guarantee future results.
67Major Market Trading Hours
New York Stock Exchange (NYSE)
Open: 9:30 AM (ET)
Close: 4:00 PM (ET)
Pre-Market: 4:00 AM – 9:30 AM (ET)
After Hours: 4:00 PM – 8:00 PM (ET)
Nasdaq
Open: 9:30 AM (ET)
Close: 4:00 PM (ET)
Pre-Market: 4:00 AM – 9:30 AM (ET)
After Hours: 4:00 PM – 8:00 PM (ET)
London Stock Exchange (LSE)
Open: 8:00 AM (GMT)
Close: 4:30 PM (GMT)
Tokyo Stock Exchange (TSE)
Open: 9:00 AM (JST)
Lunch Break: 11:30 AM – 12:30 PM (JST)
Close: 3:00 PM (JST)
Hong Kong Stock Exchange (HKEX)
Open: 9:30 AM (HKT)
Lunch Break: 12:00 PM – 1:00 PM (HKT)
Close: 4:00 PM (HKT)
If you'd like anything bigger, bold, color‑coded, or reorganized, just tell me and I’ll adjust it!
Mustang Algo - Momentum Trend Zone Backtest🐎 MUSTANG ALGO - Momentum Trend Zone Strategy
A complete trading system combining MACD momentum analysis with visual trend zones, full backtesting capabilities, and advanced risk management tools.
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🔹 OVERVIEW
Mustang Algo transforms traditional MACD analysis into a powerful visual trading system. It instantly identifies market bias through colored background zones and provides clear entry/exit signals with customizable stop loss and take profit management.
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🔹 KEY FEATURES
✅ Visual Trend Zones (Green = Bullish | Red = Bearish)
✅ Clear Buy/Sell Triangles on Chart
✅ Full Backtesting Engine
✅ Multiple Stop Loss Types
✅ Multiple Take Profit Types
✅ Trailing Stop Option
✅ Time Filter for Backtesting
✅ Real-time Info Panel
✅ Customizable Alerts
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🔹 HOW IT WORKS
The strategy uses a smoothed MACD system to detect trend changes:
- MACD Line (White): Fast EMA minus Slow EMA - shows raw momentum
- Signal Line (Yellow): EMA of MACD - shows smoothed trend direction
- Trend Zone: Changes when the smoothed signal line crosses zero
- Entry Signals: Generated at zone transitions
When the trend line crosses above zero → GREEN zone → BUY signal 🔺
When the trend line crosses below zero → RED zone → SELL signal 🔻
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🔹 STOP LOSS OPTIONS
🛑 Percentage: Fixed percentage from entry price
🛑 ATR-Based: Dynamic SL based on market volatility
🛑 Fixed Points: Set number of points/pips
🛑 Swing Low/High: Uses recent swing levels as stops
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🔹 TAKE PROFIT OPTIONS
🎯 Percentage: Fixed percentage target
🎯 ATR-Based: Dynamic TP based on volatility
🎯 Fixed Points: Set number of points/pips
🎯 Risk Reward: Automatic TP based on R:R ratio (e.g., 2:1, 3:1)
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🔹 TRAILING STOP
📈 Percentage-Based: Trail by a fixed percentage
📈 ATR-Based: Trail using ATR multiplier for dynamic adjustment
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🔹 SETTINGS
MACD Parameters:
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
- Trend Smoothing (default: 5)
Risk Management:
- Enable/Disable Stop Loss
- Enable/Disable Take Profit
- Enable/Disable Trailing Stop
- Customize all SL/TP parameters
Visual Options:
- Show/Hide Buy/Sell Triangles
- Show/Hide SL/TP Lines
- Show/Hide Labels
Time Filter:
- Set Start Date for backtest
- Set End Date for backtest
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🔹 SIGNALS EXPLAINED
🟢 GREEN TRIANGLE (Below Bar):
Bullish zone detected - Consider LONG entry
🔴 RED TRIANGLE (Above Bar):
Bearish zone detected - Consider SHORT entry
🟢 GREEN BACKGROUND:
Currently in bullish trend zone
🔴 RED BACKGROUND:
Currently in bearish trend zone
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🔹 INFO PANEL
The real-time info panel (top right) displays:
- Current Trend Zone status
- MACD value
- Signal Line value
- Active SL Type
- Active TP Type
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🔹 ALERTS
Set up alerts for:
🔔 Buy Signals: "🐎 Mustang Algo: BUY Signal on {ticker} at {price}"
🔔 Sell Signals: "🐎 Mustang Algo: SELL Signal on {ticker} at {price}"
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🔹 BEST PRACTICES
1. Use higher timeframes (1H, 4H, Daily) for more reliable signals
2. Combine with price action and support/resistance levels
3. Adjust ATR multipliers based on asset volatility
4. Use Risk Reward ratio for consistent risk management
5. Backtest on your preferred asset before live trading
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🔹 RECOMMENDED TIMEFRAMES
⏱️ Scalping: 5M, 15M (more signals, more noise)
⏱️ Day Trading: 1H, 4H (balanced signals)
⏱️ Swing Trading: Daily, Weekly (fewer but stronger signals)
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🔹 MARKETS
Works on all markets:
📈 Forex
📈 Crypto
📈 Stocks
📈 Indices
📈 Commodities
📈 Futures
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🐎 RIDE THE TREND WITH MUSTANG ALGO!
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⚠️ DISCLAIMER
This indicator/strategy is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always use proper risk management, do your own research, and consider consulting a financial advisor before making any trading decisions. Use at your own risk.
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📝 VERSION HISTORY
v1.0 - Initial Release
- MACD-based trend detection
- Visual trend zones
- Multiple SL/TP options
- Full backtesting support
- Trailing stop functionality
- Time filter
- Info panel
- Alert system
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💬 FEEDBACK
If you find this strategy useful, please leave a comment or suggestion!
Your feedback helps improve future updates.
🐎 Happy Trading!
Extended SOPR Indicator — SSOPR Tops (A/B toggle)Extended SOPR Indicator — SSOPR Tops and Lows (A/B toggle)
Observation-only. Data: Glassnode SOPR.
Overview
This indicator extends the classical SOPR (Spent Output Profit Ratio) to improve readability and reduce noise on charts. SOPR measures whether coins moved on-chain were spent at a profit or at a loss. In brief: SOPR > 1 → spending at profit; SOPR < 1 → spending at loss. SSOPR (from "Smoothed SOPR") applies optional log transform (centers baseline at 0), smoothing (standard or adaptive), and adds structured signals: Z‑score lows (capitulation), buy zones , and top detection after prolonged elevation.
Why extend SOPR? (SSOPR vs classical SOPR)
• Noise reduction: Raw daily SOPR can whipsaw around its baseline. SSOPR uses smoothing and (optionally) adaptive smoothing so regimes are visible without overfitting.
• Better readability: The log transform shifts the break-even line to 0, making “profit territory” (above 0) and “loss territory” (below 0) visually intuitive on oscillators.
• Actionable context: Z‑score highlights extreme lows (capitulation risk), a simple buy-zone threshold marks potential accumulation, and a structured top pattern (with a time factor) helps frame distribution phases after sustained elevation.
What the script plots
• Smoothed SOPR (SSOPR): An orange line representing the smoothed SOPR (with optional log transform and optional adaptive smoothing).
• Top markers: A red triangle appears once at the onset of a confirmed top pattern.
• Background shading:
– Soft green: Buy zone when SSOPR falls below the “Buy Threshold.” (+ Z‑score capitulation zones (extreme lows)).
– Soft red: Top‑zone shading when the top criteria are met but before the single triangle fires.
Inputs & parameters
• Smoothing Length (default 14): Base window for smoothing SSOPR. Higher values = smoother, slower response.
• Apply Log Transform (default ON): Uses log(SOPR) so the baseline is 0 (log(1)=0). Above 0 → net profit regime; below 0 → net loss regime.
• Adaptive Smoothing (default OFF): Expands smoothing length as volatility rises using a standard deviation proxy; reduces whipsaws while preserving structure.
• Z‑score Threshold for Lows (default −2.5): Highlights capitulation zones when SSOPR deviates far below its rolling mean.
• SSOPR Buy Threshold (default −0.02): Simple rule-of-thumb level for potential accumulation context when below (log scale).
• SSOPR Top Threshold (default +0.005): Minimum elevation required for “profit territory” when assessing tops (log scale).
• Min Bars Above Threshold Before Top (default 50): Ensures prolonged elevation before calling a top.
• Lookback for Peak Detection (default 50): Window used to locate the recent high.
• Drop % from Peak to Confirm Top (default 5%): Confirms the start of distribution from a local high.
• Highlight Background : Toggles shaded zones.
Top detection (indicator-only)
A top fires when ALL of the following are true:
SSOPR spent at least Min Bars Above Threshold above the Top Threshold (sustained elevation).
The rising phase test passes (Option A or B; see below).
A drop from the local peak exceeds Drop % within the Lookback window.
The peak occurred in profit territory (SSOPR > Top Threshold).
To avoid repeated signals during the decline, the script emits the triangle once, at onset.
Rising‑phase switch: Option A vs Option B
• Option A — Up‑step ratio : Over the last A: Bars for Rising Check (default 50), it requires that at least A: Required Up‑Step Ratio (default 60%) of bars were rising (each bar compared to the previous). This favors gradual, persistent advances and filters out “choppy” lifts.
• Option B — Net slope : Compares current SSOPR to its value B: Bars Back for Net Slope ago (default 50). If higher, the series is considered rising. This is simpler and reacts faster in volatile phases but can admit brief pseudo‑trends.
Guidance : Prefer A for conservative confirmation in slow, persistent cycles; use B when trend moves are strong and you need timely detection.
Interpretation guide
• Regimes (log view): Above 0 → spending at profit; below 0 → spending at loss.
• Capitulation lows: When Z‑score < threshold, conditions often reflect forced/liquidity‑driven spending. Treat as context, not signals.
• Buy zone: SSOPR < Buy Threshold flags potential accumulation conditions (combine with price structure).
• Tops: After prolonged elevation, a confirmed top often coincides with profit‑taking/distribution phases.
Recommended timeframes
• Daily : Code optimized for daily timeframe.
Method summary
• SSOPR source: GLASSNODE:BTC_SOPR (via request.security ).
• Optional log transform: sopr → log(sopr) to normalize around 0.
• Smoothing: SMA over Smoothing Length , optionally adaptive using local volatility (std dev).
• Z‑score: (SSOPR − mean) / std dev, highlighting extreme lows.
• Top: Requires long elevation above Top Threshold , rising‑phase (A/B), and a subsequent drop > Drop % from recent high.
Limitations & notes
• SOPR reflects on‑chain movements; some activity occurs off‑chain (exchanges, internal transfers). Not all moves imply sale; aggregation makes it a usable proxy for profit/loss realization.
• Higher smoothing reduces noise but delays signals; adaptive smoothing can help but is still a trade‑off.
• Treat thresholds as context markers. They are not entry/exit signals by themselves.
• Use with price structure, volume, and other on‑chain indicators (e.g., realized price bands, dormancy/CDD) for confluence.
How to use (examples)
• Advance holding above 0 (log view): Retests of 0 from above that hold—while SSOPR remains elevated—often mark absorption; look for Top conditions only after sustained elevation and a confirmed drop from peak.
• Downtrend below 0: Rejections near 0 can align with continued loss realization; extreme Z‑score lows suggest capitulation risk—context for accumulation, not a blind buy.
Recommended settings
• Weekly: Log ON, Smoothing Length 14–30, Adaptive ON, Buy Threshold −0.02, Top Threshold +0.005, Rising Method A, Min Bars 50.
• Daily: Log ON, Smoothing Length 14–20, Adaptive OFF or ON (depending on noise), Rising Method B for timely slope checks.
Credits & references
• SOPR metric: Renato Shirakashi; documentation: Glassnode , CryptoQuant , overview: Bitbo .
Disclaimer
This script is for research/education on market behavior. It is not financial advice. Indicators provide context; decisions remain your responsibility.
Tags
bitcoin, btc, on‑chain, sopr, ssopr, glassnode, oscillator, regime, distribution, capitulation
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Key Features:
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Smart High/Low Lines:
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Detailed Session Information:
Range (difference between highest and lowest points)
Average price of the session
Open and close lines
Full Customization:
Choose the number of historical sessions to display (e.g., last 10, 20 sessions)
Line style and width for high/low lines
Enable/disable each element independently
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Identify liquidity zones created during each session
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• Vertical dividers at each new session
• Background color for each session
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🧭 How to use it
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Disclaimer
This tool is for educational and analytical purposes only. It does not provide buy/sell signals or financial advice. Trading involves risk, and all decisions remain the responsibility of the user.
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