Triangular Hull Moving Average [BigBeluga X PineIndicators]This strategy is based on the original Triangular Hull Moving Average (THMA) + Volatility indicator by BigBeluga. Full credit for the concept and design goes to BigBeluga.
The strategy blends smoothed trend-following logic using a Triangular Hull Moving Average with dynamic volatility overlays, providing actionable trade signals with responsive visual feedback. It's designed for traders who want a non-lagging trend filter while also monitoring market volatility in real time.
How the Strategy Works
1. Triangular Hull Moving Average (THMA) Core
At its core, the strategy uses a Triangular Hull Moving Average (THMA) — a variation of the traditional Hull Moving Average with triple-smoothing logic:
It combines multiple weighted moving averages (WMAs) to create a faster and smoother trend line.
This reduces lag without compromising trend accuracy.
The THMA reacts more responsively to price movements than classic MAs.
THMA Formula:
thma(_src, _length) =>
ta.wma(ta.wma(_src,_length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length)
This logic filters out short-term noise while still being sensitive to genuine trend shifts.
2. Volatility-Enhanced Candle Plotting
An optional volatility mode overlays the chart with custom candles that incorporate volatility bands:
Wicks expand and contract dynamically based on market volatility.
The volatility value is computed using a HMA of high-low range over a user-defined length.
The candle bodies reflect THMA values, while the wicks reflect the current volatility spread.
This feature allows traders to visually gauge the strength of price moves and anticipate possible breakouts or slowdowns.
3. Trend Reversal Signal Detection
The strategy identifies trend reversals when the THMA line crosses over/under its own past value:
A bullish signal is triggered when THMA crosses above its value from two bars ago.
A bearish signal is triggered when THMA crosses below its value from two bars ago.
These shifts are marked on the chart with triangle-shaped signals for clear visibility.
This logic helps detect momentum shifts early and enables reactive trade entries.
Trade Entry & Exit Logic
Trade Modes Supported
Users can choose between:
Only Long – Enters long trades only.
Only Short – Enters short trades only.
Long & Short – Enables both directions.
Entry Conditions
Long Entry:
Triggered when a bullish crossover is detected.
Active only if the strategy mode allows long trades.
Short Entry:
Triggered when a bearish crossover is detected.
Active only if the strategy mode allows short trades.
Exit Conditions
In Only Long mode, the strategy closes long positions when a bearish signal appears.
In Only Short mode, the strategy closes short positions when a bullish signal appears.
In Long & Short mode, the strategy does not auto-close positions — instead, it opens new positions on each confirmed signal.
Dashboard Visualization
In the bottom-right corner of the chart, a live dashboard displays:
The current trend direction (🢁 for bullish, 🢃 for bearish).
The current volatility level as a percentage.
This helps traders quickly assess market status and adjust their decisions accordingly.
Customization Options
THMA Length: Adjust how smooth or reactive the trend detection should be.
Volatility Toggle & Length: Enable or disable volatility visualization and set sensitivity.
Color Settings: Choose colors for up/down trend visualization.
Trade Direction Mode: Limit the strategy to long, short, or both types of trades.
Use Cases & Strategy Strengths
1. Trend Following
Use the THMA-based candles and triangle signals to enter with momentum. The indicator adapts quickly, reducing lag and improving trade timing.
2. Volatility Monitoring
Visualize the strength of the trend with volatility wicks. Use expanding bands to confirm breakouts and contracting ones to detect weakening moves.
3. Signal Confirmation
Combine this tool with other indicators or use the trend shift triangles as confirmations for manual entries.
Conclusion
The THMA + Volatility Strategy is a non-repainting trend-following system that integrates:
Triangular Hull MA for advanced trend detection.
Real-time volatility visualization.
Clear entry signals based on trend reversals.
Configurable trade direction settings.
It is ideal for traders who:
Prefer smoothed price analysis.
Want to follow trends with precision.
Value visual volatility feedback for breakout detection.
Full credit for the original concept and indicator goes to BigBeluga.
المؤشرات والاستراتيجيات
RiskCalc FX & GoldRiskCalc FX & Gold is a multi-market position sizing tool designed to help you manage risk quickly and accurately. With this script, simply enter your account capital, the percentage of risk you wish to take, and your stop in ticks. Depending on the selected market—Forex or XAUUSD—the script automatically adjusts its calculations:
Forex: Assumes 1 lot equals 100,000 units.
XAUUSD: Assumes 1 lot equals 100 ounces.
The script calculates your risk in dollars and, using a fixed value of 1 USD per tick per lot, determines the ideal position size in both lots and total contracts. Results are displayed in a clear, centralized table at the top of the chart for real-time decision-making.
Perfect for traders operating across multiple markets who need an automated and consistent approach to risk management.
Litecoin Trailing-Stop StrategyAltcoins Trailing-Stop Strategy
This strategy is based on a momentum breakout approach using PKAMA (Powered Kaufman Adaptive Moving Average) as a trend filter, and a delayed trailing stop mechanism to manage risk effectively.
It has been designed and fine-tuned Altcoins, which historically shows consistent volatility patterns and clean trend structures, especially on intraday timeframes like 15m and 30m.
Strategy Logic:
Entry Conditions:
Long when PKAMA indicates an upward move
Short when PKAMA detects a downward trend
Minimum spacing of 30 bars between trades to avoid overtrading
Trailing Stop:
Activated only after a customizable delay (delayBars)
User can set trailing stop % and delay independently
Helps avoid premature exits due to short-term volatility
Customizable Parameters:
This strategy uses a custom implementation of PKAMA (Powered Kaufman Adaptive Moving Average), inspired by the work of alexgrover
PKAMA is a volatility-aware moving average that adjusts dynamically to market conditions, making it ideal for altcoins where trend strength and direction change frequently.
This script is for educational and experimental purposes only. It is not financial advice. Please test thoroughly before using it in live conditions, and always adapt parameters to your specific asset and time frame.
Feedback is welcome! Feel free to clone and adapt it for your own trading style.
Four MAs with Bands Pack by Rising Falcon# **Four MAs with Bands Pack by Rising Falcon**
## **Overview**
The **Four MAs with Bands Pack** is a dynamic multi-moving average indicator designed to enhance trend identification, momentum analysis, and volatility assessment. It allows traders to configure and visualize up to four different moving averages (MAs) with an optional **higher timeframe Hull MA (HMA)** for advanced trend confirmation. The indicator also incorporates **band structures** around each MA, providing additional insights into price volatility, breakout zones, and trend strength.
---
## **Fundamental Aspects**
Moving Averages (MAs) are a foundational tool in technical analysis, widely used to **smooth out price fluctuations** and identify directional bias over time. This indicator leverages four MAs of varying lengths to **capture different time horizons** of market trends, making it useful for:
- **Short-Term Analysis (Scalping):** Fast MAs (e.g., 20, 50) respond quickly to price action, allowing traders to catch early trend shifts.
- **Mid-Term Analysis (Swing Trading):** Medium-length MAs (e.g., 100) help validate trend continuation.
- **Long-Term Analysis (Position Trading):** Slow MAs (e.g., 200) provide macro trend direction and filter noise from short-term fluctuations.
By **color-coding** the MAs based on trend direction and incorporating a **band system**, the indicator helps traders identify price momentum shifts, consolidation zones, and potential breakout opportunities.
---
## **Technical Aspects**
### **1. Configurable Moving Averages**
Each of the four MAs can be customized using three calculation methods:
- **SMA (Simple Moving Average):** A traditional average of past prices, best for stable trend confirmation.
- **EMA (Exponential Moving Average):** Gives more weight to recent price action, making it more reactive to new trends.
- **WMA (Weighted Moving Average):** Assigns greater importance to more recent data, reducing lag while maintaining smoothness.
#### **Formulae:**
1. **SMA:**
\
2. **EMA:**
\
where \( k = \frac{2}{N+1} \)
3. **WMA:**
\
where \( W_i \) is the weight assigned to each period.
Each moving average has an optional **higher timeframe setting**, allowing traders to plot an MA from a larger timeframe on their current chart for **multi-timeframe analysis (MTA)**. This is useful for confirming trends and filtering noise from lower timeframes.
---
### **2. Dynamic Bands & Volatility Visualization**
Each moving average has an associated band, defined by:
- **Upper Band:** The MA value at the current bar.
- **Lower Band:** The MA value from two bars ago (**lagging component** for trend assessment).
- **Color Coding:**
- **Green:** Uptrend (price above the moving average).
- **Red:** Downtrend (price below the moving average).
- **Orange:** Neutral (no strong trend bias).
The band thickness and transparency are customizable, helping traders **visually assess market conditions**:
- **Expanding Bands:** Increased price volatility (potential breakout).
- **Contracting Bands:** Reduced volatility (possible consolidation).
Mathematically, the **band region is defined by**:
\
This concept is similar to **Keltner Channels** or **Bollinger Bands**, but instead of standard deviations, it uses historical MA differences to capture trend momentum.
---
### **3. Trend Alerts & Crossover Signals**
To assist traders in making timely decisions, the indicator generates alerts when **fast MAs cross slow MAs**:
- **Bullish Crossover (Uptrend Confirmation):**
\
- **Bearish Crossover (Downtrend Confirmation):**
\
- These alerts can be used to set up **automated notifications** for trade entries/exits.
---
## **How to Use This Indicator**
### **Scalping Strategy**
1. Use **shorter length MAs (20, 50)** with **higher timeframe Hull MA** enabled.
2. Look for **bullish crossovers** of fast MAs over slow MAs.
3. Ensure the band is **expanding** before entering a trade.
4. Exit when the opposite crossover occurs or when bands **contract**.
### **Swing Trading Strategy**
1. Use a combination of **medium and long MAs (50, 100, 200)** for trend confirmation.
2. Look for **price pullbacks** into the bands before **trend continuation**.
3. Set alerts for **crossovers** to validate trend direction.
### **Trend Reversal Strategy**
1. Look for **bearish crossovers** near resistance levels for short trades.
2. Wait for **bullish crossovers** at support levels for long trades.
3. Confirm with **higher timeframe MA direction** to reduce false signals.
---
## **Key Benefits**
✅ **Versatile:** Works for scalping, swing trading, and trend following.
✅ **Multi-Timeframe Support:** View higher timeframe MAs for broader trend validation.
✅ **Customizable:** Adjust MA type, length, color coding, and band visibility.
✅ **Alerts:** Automatic notifications for trend shifts and crossovers.
✅ **Clear Visualization:** Helps traders identify breakout zones, volatility spikes, and reversals.
---
## **Final Thoughts**
The **Four MAs with Bands Pack by Rising Falcon** is an advanced yet intuitive tool for traders looking to enhance their trend-following strategies. By combining **multiple moving averages, band structures, and trend color coding**, it provides a comprehensive view of price action, helping traders make **informed trading decisions** with greater confidence.
EMA 5m Nightingale🔁 EMA 5m Nightingale Strategy — Smart Compounding Recovery
This strategy combines classic EMA cross entries with a disciplined Nightingale position sizing system to manage losses and enhance recovery.
📌 Features:
✅ EMA 20/50 crossover entries, confirmed by trend (EMA 200)
🔄 Fixed-step Nightingale logic:
Trade sizing steps: $200 → $200 → $250 → $400 → $800 → $1600 → $3200 → $6000
Automatically resets to $200 after a profitable trade
🛑 2% equity-based stop loss
📉 Trade size increases only after a loss — never on a win
🔔 Built-in buy/sell alerts for automation or notifications
Perfect for testing controlled risk escalation and recovery on volatile 3-minute or 5-minute charts.
TESTING NOW FOR XRP 5M
JPMorgan Collar LevelsJPMorgan Collar Levels – SPX/SPY Auto-Responsive (Quarterly Logic)
This script tracks the JPMorgan Hedged Equity Fund collar strategy, one of the most watched institutional positioning tools on SPX/SPY. The strategy rolls quarterly and often acts as a magnet or resistance/support zone for price.
Dalli CPRMulti-Timeframe CPR Indicator for TradingView
This TradingView Pine Script calculates and displays the Central Pivot Range (CPR) across multiple timeframes, including daily, weekly, monthly, quarterly, half-yearly, and yearly. CPR is a powerful tool used by traders to identify key support and resistance levels, potential trend reversals, and breakout opportunities.
Key Features:
✅ Multi-Timeframe CPR: Calculates CPR levels for six different timeframes to provide a comprehensive market outlook.
✅ Dynamic Updates: CPR levels adjust based on the selected timeframe to ensure accurate and real-time analysis.
✅ Support & Resistance Zones: Displays Pivot Point (PP), Top Central Pivot (TC), and Bottom Central Pivot (BC) to help traders make informed decisions.
✅ Customizable Display: Users can enable/disable specific timeframes and adjust line colors and styles for better visualization.
✅ Ideal for Swing & Intraday Trading: Provides insights into market trends by analyzing CPR levels across different timeframes.
15% Below Daily LowESPP discount pricing (15%) - Line chart that follows the daily low of the chart to show what price you could buy a company stock with the typical discount of 15%.
Hypersonic MAIN Intersection StrategyStrategy that shows the intersection point of two Items of Interest. Backtesting showed the best was Candle (close) & EMA 9.
1. I added 2 auxiliary EMA's that you can view or hide because I know some people like to see the EMA 200.
2. You select the First and Second Item of Interest and it'll plot it in the background. First EMA and Second EMA correspond to whether you select them or not. The BWMA stuff is near the bottom. And in the middle is how you can show/hide the data table in the top-right. If you choose "candle" then it'll use the close of the candle for plotting.
3. you can show/hide different lines in the Style section.
4. on the Style tab of Settings, you can turn off the whole table as well as the Trades, just the signal of the trade, or just the quantity of the trade.
Wave IdentifierThis Pine Script indicator creates a 2x3 table that displays the current wave, target percentage, and timeframe information based on the time of day in Eastern Time. Here's what the indicator does:
It divides the trading day into three waves:
Wave 1: 9:30 AM ET to 11:00 AM ET
Wave 2: 12:00 PM ET to 2:00 PM ET
Wave 3: 3:00 PM ET to 4:00 PM ET
Any other time is labeled as "Between Waves"
It shows the target percentage for each wave:
Wave 1: 40% - 70%
Wave 2: 80% - 200%
Wave 3: 100% - 1000%
It recommends specific timeframes for each wave:
Wave 1: 2-minute candles
Wave 2: 5-minute candles
Wave 3: 10-minute candles
It checks if your current chart timeframe matches the recommended timeframe:
If it matches, it displays the timeframe in green
If it doesn't match, it displays "Timeframe mismatch" in red
The table is positioned in the middle-right of the chart and updates with each new candle. Feedback is always welcome!
Key LevelsI couldn't find an indicator that plotted previous day and intraday key levels like I wanted.
This indicator plots key levels on the chart:
Current session high (HOD) and low (LOD)
Previous day high (PDH), low (PDL), and close (PDC)
Overnight high (ONH) and low (ONL) based on a defined overnight window
At the start of a new session (day), the indicator resets its values and creates a new set of labels.
These labels are positioned in a fixed horizontal column (offset from the current bar) and are updated each bar so that they remain vertically aligned with their corresponding level (with a small vertical offset).
Inputs you can modify:
Futures Mode and session times for equities and futures.
Horizontal label offset (in bars) and vertical offset (price units) for label positioning.
Colors, line widths, and styles for each level (day high, day low, overnight high/low, previous day levels).
Adjust these inputs to match your market hours and desired appearance.
Zero background in coding, but worked with chatGPT to develop this, and it works for me. Would welcome any and all feedback.
3 EMAs with Price Action by Sap KarCombines three EMAs with Price Action. Price action visible as GREEN and RED ARROWS below and above bars.
Buy when bars start forming above 9,21 emas GREEN arrows starts forming below bars.
Sell when bars start forming below 9,21 emas RED arrows starts forming above bars.
Sap Kar 3 EMAs + PA; (P)This script plots 3 EMAs and also shows price action in the form of GREEN ARROWS at the bottom of the bars for LONG trades and RED ARROWS @ top of the bars for SHORT TRADE.
Will be useful for trend and momentum following. The input parameters for price action ae
1. No of Bars for price action calculation:- This should be ideally between 3 to 6.
2. Maximum Close % should preferably be above 75 and should always be above 50.
3. Minimum Close % should preferably be below 25 and should always be below 50.
Should buy when above EMAs and green arrows start forming below bars. Should sell when below EMAs and red arrows start forming above bars.
Cycle Biologique Strategy // (\_/)
// ( •.•)
// (")_(")
//@fr33domz
Experimental Research: Cycle Biologique Strategy
Overview
The "Cycle Biologique Strategy" is an experimental trading algorithm designed to leverage periodic cycles in price movements by utilizing a sinusoidal function. This strategy aims to identify potential buy and sell signals based on the behavior of a custom-defined biological cycle.
Key Parameters
Cycle Length: This parameter defines the duration of the cycle, set by default to 30 periods. The user can adjust this value to optimize the strategy for different asset classes or market conditions.
Amplitude: The amplitude of the cycle influences the scale of the sinusoidal wave, allowing for customization in the sensitivity of buy and sell signals.
Offset: The offset parameter introduces phase shifts to the cycle, adjustable within a range of -360 to 360 degrees. This flexibility allows the strategy to align with various market rhythms.
Methodology
The core of the strategy lies in the calculation of a periodic cycle using a sinusoidal function.
Trading Signals
Buy Signal: A buy signal is generated when the cycle value crosses above zero, indicating a potential upward momentum.
Sell Signal: Conversely, a sell signal is triggered when the cycle value crosses below zero, suggesting a potential downtrend.
Execution
The strategy executes trades based on these signals:
Upon receiving a buy signal, the algorithm enters a long position.
When a sell signal occurs, the strategy closes the long position.
Visualization
To enhance user experience, the periodic cycle is plotted visually on the chart in blue, allowing traders to observe the cyclical nature of the strategy and its alignment with market movements.
Doji Breakout 3:1 DetectorFinds a proper doji for you to buy its high or sell its low for a 3:1 reward
Global Liquidity Index with Editable DEMA + 107 Day OffsetGlobal Liquidity DEMA (107-Day Lead)
This indicator visualizes a smoothed version of global central bank liquidity with a forward time shift of 107 days. The concept is based on the macroeconomic observation that markets tend to lag changes in global liquidity — particularly from central banks like the Federal Reserve, ECB, BOJ, and PBOC.
The script uses a Double Exponential Moving Average (DEMA) to smooth the combined balance sheets and money supply inputs. It then offsets the result into the future by 107 days, allowing you to visually align liquidity trends with delayed market reactions. A second plot (ROC SMA) is included to help identify liquidity momentum shifts.
🔍 How to Use:
Add this indicator to any chart (S&P 500, BTC, Gold, etc.)
Compare price action to the forward-shifted liquidity trend
Look for divergence, confirmation, or crossovers with price
Use as a macro timing tool for long-term entries/exits
📌 Included Features:
Editable DEMA smoothing length
ROC + SMA overlay for momentum signals
Fixed 107-day forward projection
Includes main DEMA and ROC SMA both real-time and shifted
Fourier-Inspired Forex PredictorThis strategy aims to using a Fourier-inspired approach to transform non-repetitive forex price patterns into a repetitive signal for predicting future prices
Opal Title: Opal Lines
Short Title: Opal Lines
Description:
Opal Lines is a dynamic overlay indicator that plots horizontal price levels at the open of key market sessions throughout the trading day, based on Eastern Time (ET). Designed for traders who rely on session-based price action, it marks significant intraday events such as the European Open (3:00 AM ET), Gold Open (8:20 AM ET), Regular Market Open (9:30 AM ET), and Globex Open (6:00 PM ET), among others. Each line is color-coded and toggleable via inputs, allowing users to customize which sessions they want to track.
Unlike generic time-based tools, Opal Lines captures the opening price at precise minute intervals and extends these levels across the chart until the daily reset at 5:00 PM ET (except for the Globex line, which persists into the next day). This makes it ideal for identifying support/resistance zones, breakout levels, or reference points tied to major market openings. Traders can use it across forex, futures, equities, or commodities to align their strategies with global session dynamics.
Key Features:
Seven toggleable session lines with distinct colors for easy identification.
Time-specific logic using ET, adaptable to any chart timeframe.
Persistent lines that reset daily, with Globex extending overnight.
Lightweight and overlay-friendly, preserving chart clarity.
How to Use:
Add the indicator to your chart and enable the sessions relevant to your trading style. Watch for price interactions with these levels—e.g., bounces, breaks, or retests—especially during high-volume periods. Combine with other tools like volume or oscillators for confirmation.
Note: Ensure your chart’s timezone is set to “America/New_York” (ET) for accurate alignment.
Small Range Stocks (ATR 7)This indicator identifies stocks with a small daily range relative to their ATR(7). It plots a small green tick below candles where the daily range is ≤ 0.9 × ATR(7), helping traders spot consolidation zones for potential breakouts.
Enhanced 3-Month Reversal Strategy v6 (TSLA)### **Strategy Overview: Enhanced 3-Month Reversal Strategy v6 for TSLA**
This custom-designed strategy is tailored specifically for **Tesla Inc. (TSLA)**, incorporating a multi-factor scoring model to capture short-term mean-reversion opportunities within a broader trend-aware framework.
---
### **Methodology**
The strategy blends **technical reversal signals** with **trend filtering** and **volatility-adjusted risk management**. It assigns dynamic weights to six core technical indicators for both long and short entries:
- **RSI (7-period):** Identifies overbought/oversold conditions based on percentile ranks.
- **MACD (8/17/9):** Captures short-term momentum shifts with trend confirmation.
- **ADX (14):** Ensures trades are taken only in strong trending environments.
- **Volume Spike:** Confirms breakout or reversal intensity.
- **SMA Crossovers (20 & 50):** Filters trend direction on a medium scale.
- **Implied Volatility Rank (126-period HV proxy):** Measures relative volatility levels to confirm timing.
All inputs are scored based on weighted signals, and trades are only entered when the composite score exceeds a defined threshold.
---
### **Features**
- ✅ **Volatility-based dynamic stop-loss and take-profit** for adaptive risk management.
- ✅ **Intraday trading window filter** to restrict trades to regular market hours (default: 9AM–4PM EST).
- ✅ **Trend filter (200-SMA)** to allow long trades only in bullish markets.
- ✅ **Score threshold parameters** are fully adjustable for optimization.
- ✅ **Individual trade P&L tracking** via chart annotations.
---
### **Backtest Summary**
- **Time period:** Backtested on TSLA from **January 2022 to March 2025**.
- **Data granularity:** 15-minute and 1-hour timeframes show best performance consistency.
- **Market regime:** Performs well in both trending and volatile mean-reversion phases.
---
### **Best Input Parameters (from hyperparameter tuning)**
**Long Entry Weights:**
- RSI: `0.35`
- IV Rank: `0.10`
- MACD: `0.15`
- SMA Condition: `0.25`
- ADX: `0.15`
- Volume Spike: `0.25`
**Short Entry Weights:**
- RSI: `0.20`
- IV Rank: `0.15`
- MACD: `0.30`
- SMA Condition: `0.00`
- ADX: `0.15`
- Volume Spike: `0.30`
**Other Settings:**
- MACD Signal Period: `9`
- RSI Length: `7`
- IV Period: `126`
- SMA Periods: `20 & 50`
- Trend Filter SMA: `200`
- Stop Loss / Take Profit: `1.0 × HV` multiplier
---
--- Optuna 优化完成 ---
最佳 Trial 编号: 29
最佳 Total Return : 17927.75678703037
最佳参数:
rsi_length: 13
iv_length: 140
macd_fast: 7
macd_slow: 30
adx_length: 25
sma_short_period: 21
sma_long_period: 78
volume_ma_period: 14
rsi_low_percentile: 21
rsi_high_percentile: 60
iv_low_percentile: 11
iv_high_percentile: 89
take_profit_mult: 4.0
stop_loss_mult: 5.0
bullish_threshold: 0.65
bearish_threshold: 0.9
rsi_bull_weight: 0.5
iv_bull_weight: 0.25
macd_bull_weight: 0.30000000000000004
sma_bull_weight: 0.1
adx_bull_weight: 0.0
volume_bull_weight: 0.3
rsi_bear_weight: 0.5
iv_bear_weight: 0.2
macd_bear_weight: 0.15000000000000002
sma_bear_weight: 0.1
adx_bear_weight: 0.1
volume_bear_weight: 0.15000000000000002
macd_signal: 9
MA Distance (% and ATR) + Threshold CountMA Distance (% & ATR) + Threshold Count
This script visualizes how far price is extended from key moving averages using both percentage and ATR-based distance. It includes a dynamic threshold system that tracks how unusually extended price is, based on historical volatility.
🔍 Features:
Calculates distance from:
10 EMA, 20 SMA, 50 SMA, 100 SMA, 200 SMA
Measures both:
% distance from each MA
ATR-multiple distance from each MA
Automatically calculates dynamic upper/lower thresholds using a rolling standard deviation
Plots a colored dot when distance exceeds these thresholds
Dots appear above or below the bar depending on direction
Color-coded summary table displays:
% distance
ATR distance
Threshold extremes
Total number of threshold hits
🎯 Customization:
Toggle which MAs to display in the table
Set your own lookback window and threshold sensitivity (via stdev multiplier)
Show/hide dots based on how many thresholds are hit
Use this tool to identify when price is overextended from its moving averages and approaching historically significant levels of deviation. Great for spotting mean reversion setups, parabolic runs, or deep pullbacks.
ProfitPivotProfitPivot dynamically shows the difference between unit cost and current market price of an asset, both in absolute term and in percentage. Traders can ascertain the profit level of a particular asset at a glance. Traders can input or change unit cost of the asset at any time directly through attribute settings. Previous bar close price will be used by default if the unit cost is not supplied.
ProfitPivot is developed by @isarab with the assistance of Copilot. It is licensed under Mozilla Public License Version 2.0.
