MH Strategy – Hull Moving Average-Based Trading StrategyThe MH Strategy is a TradingView strategy that leverages the Hull Moving Average (HullMA) to generate precise buy and sell signals. This strategy is designed to identify trend reversals and momentum shifts using a combination of weighted moving averages and HullMA-based calculations.
Key Features:
✅ Hull Moving Average-Based Signals – Uses a modified HullMA calculation to detect trend changes.
✅ Dynamic Support & Resistance – The strategy plots adaptive levels that act as dynamic entry and exit points.
✅ Trend-Based Entries & Exits – Generates long (buy) signals when the price moves above the calculated Hull retraction level and short (sell) signals when the price moves below it.
✅ Automated Trade Execution – Integrates with TradingView’s strategy function to open and close trades automatically based on signal conditions.
✅ Customizable Parameters – Allows users to adjust the HullMA period and price data source to optimize performance across different markets and timeframes.
How It Works:
HullMA Calculation: The strategy calculates a smoothed Hull Moving Average (HullMA) using a two-step weighted moving average method.
Trend Confirmation: The difference between the HullMA values helps determine trend direction and retraction levels.
Entry Conditions:
A buy signal is generated when the price is above the retraction level, and the previous price confirms the trend.
A sell signal is triggered when the price is below the retraction level with trend confirmation.
Exit Conditions:
The strategy closes long trades when the price drops below a threshold.
It closes short trades when the price rises above a set level.
Ideal Use Cases:
🔹 Swing & trend traders looking for momentum-based entries and exits.
🔹 Traders aiming for reduced lag compared to traditional moving averages.
🔹 Markets with strong price trends, such as forex, stocks, and crypto.
Try the MH Strategy and enhance your trading decisions with a refined HullMA-based trend detection system! 🚀
Padrões gráficos
Electronic Trading Hours Session/CandlesThis indicator visually distinguishes the electronic trading session, spanning from the prior day's close (e.g., 5:00 PM EST) through the overnight period until the next day's opening bell (e.g., 9:30 AM EST).
It can be customized to highlight this period with a shaded zone or colored candles depending on the trader’s preference.
The overnight levels that create the opening range gap often act as critical zones of liquidity.
The indicator provides a clear visual cue of potential price magnets that smart money (institutional traders) may target during the opening bell session to trigger liquidity sweeps.
Enhanced Doji Candle StrategyYour trading strategy is a Doji Candlestick Reversal Strategy designed to identify potential market reversals using Doji candlestick patterns. These candles indicate indecision in the market, and when detected, your strategy uses a Simple Moving Average (SMA) with a short period of 20 to confirm the overall market trend. If the price is above the SMA, the trend is considered bullish; if it's below, the trend is bearish.
Once a Doji is detected, the strategy waits for one or two consecutive confirmation candles that align with the market trend. For a bullish confirmation, the candles must close higher than their opening price without significant bottom wicks. Conversely, for a bearish confirmation, the candles must close lower without noticeable top wicks. When these conditions are met, a trade is entered at the market price.
The risk management aspect of your strategy is clearly defined. A stop loss is automatically placed at the nearest recent swing high or low, with a tighter distance of 5 pips to allow for more trading opportunities. A take-profit level is set using a 2:1 reward-to-risk ratio, meaning the potential reward is twice the size of the risk on each trade.
Additionally, the strategy incorporates an early exit mechanism. If a reversal Doji forms in the opposite direction of your trade, the position is closed immediately to minimize losses. This strategy has been optimized to increase trade frequency by loosening the strictness of Doji detection and confirmation conditions while still maintaining sound risk management principles.
The strategy is coded in Pine Script for use on TradingView and uses built-in indicators like the SMA for trend detection. You also have flexible parameters to adjust risk levels, take-profit targets, and stop-loss placements, allowing you to tailor the strategy to different market conditions.
Trend CounterTREND COUNTER is a Trend Exhaustion Indicator that tracks the persistence of price movements over a series of bars, helping traders identify potential trend exhaustion and reversals.
It compares each bar's value (typically the closing price) to a previous bar from a set lookback period (the lookback bar), counting consecutive bullish or bearish price movements.
The count resets when the trend reverses, signaling a potential shift in momentum.
• Price movement is considered bullish if the current price exceeds the lookback bar's price, incrementing the bullish count with each consecutive occurrence.
• Price movement is considered bearish if the current price is lower than the lookback bar's price, incrementing the bearish count with each consecutive occurrence.
• The count resets when the trend reverses.
• The user sets the threshold for sequence resets by defining the maximum number of consecutive occurrences.
• The count may reset before a trend reversal if it surpasses the user-defined threshold.
This type of indicator is useful for detecting trends, trend exhaustion, overbought or oversold conditions, and potential reversal points, helping traders anticipate market turns.
• Sequential occurrences gauge trend strength.
A long sequence of bullish bars suggests strong upward momentum, while consecutive bearish bars indicate sustained downward pressure.
This helps traders assess whether a trend is likely to continue or weaken.
• Identify thresholds for potential reversal points.
Counting consecutive bullish or bearish price movements can highlight overextended trends.
A trend reaching a predefined threshold may signal an upcoming reversal or momentum slowdown.
• Identify potential entry or exit points.
If trends are showing signs of exhaustion after a certain number of consecutive price movements, traders may use this for timing adjustments to their position.
• Assess risk.
Understanding trend strength helps traders better adjust stop-loss or take-profit levels.
Sequential counting provides a structured approach to trade management.
Visualization & Customization
The Sequential Momentum indicator visually represents consecutive bullish or bearish price movements to define trends and highlight key shifts.
• The bullish/bearish bar sequences are based on user-defined thresholds.
• Customizable bar coloring, labels, and plot shapes enhanced trend visualization.
• Dynamic color transitions make trend shifts easily identifiable.
Tracking consecutive bullish or bearish price movements can be effective when combined with other indicators or applied in specific market conditions (e.g., trending or volatile markets).
However, its reliability depends on market conditions and the trader’s interpretation.
This indicator is best used as a complementary tool rather than a standalone signal, helping traders visualize and quantify market momentum within a broader strategy.
Shark 32 Pattern ProHello Traders!
The Shark32 pattern comprises multiple inside bars —each candle’s high/low is contained within the previous candle’s range—creating a tight consolidation zone. Once price breaks out, volatility frequently expands, producing sharper moves. The pattern is known for its relatively high continuation rate and the ability to offer tight risk/reward setups. It also calculates statistics, highlights stop/target levels, and offers fully customizable visuals so you can adapt the tool to your trading style.
Key Features :
Detects Shark 32 With Unlimited Inside Bars:
Automatically spots consecutive inside candles (not limited to just two), enabling you to catch more nuanced patterns.
Highlights Breakout:
Clear visual lines and labels mark where price breaks above/below the pattern boundary.
Stop-Loss & Profit Targets:
Draws a suggested stop-loss line and a projected target line, helping you manage risk and set profit objectives quickly.
Statistics & Analysis:
A built-in statistics table tracks pattern frequency, breakouts, stop-hits, target-hits, and more—helping you refine your strategy over time.
Fully Customizable Visuals:
Control line styles, colors, breakout labels, box fill, and more to fit your preference or chart theme.
Quick Resolutions:
This pattern forms fast and typically resolves within just a few bars, appealing to short-term traders.
Statistics at a Glance (based on Bulkowski's studies):
Continuation Bias : ~60% continuation bias.
Measured Move : 70%+ of bullish breakouts (in bull markets) reach the measured move.
Throwback : ~64% chance price retraces to the breakout level after an upside break.
Trend Alignment : Historically, success rates improve when trading in line with the larger trend.
How to Trade with This Indicator :
Identifying the Pattern : Wait till a Shark 32 pattern is formed.
Entry Rule : Enter on a confirmed close above the pattern high (for bullish) or below the pattern low (for bearish).
Stop Placement : Place stops a few ticks beyond the opposite side of the pattern. Tight ranges = small risk. Or use the mid-range of the pattern as a stop level.
Target Options : Aim for Risk/Reward Ratio of 2R or 3R to capture a strong follow-through. Alternatively, use the measured move of the first bar's height as a target.
Tips for Better Reliability:
Trend Alignment : Shark 32 breakouts usually work best in the direction of the broader market or trend.
Confirmation : Look for a significant volume increase at the breakout—helps filter out “fake” moves.
Throwback Awareness : ~64% of upside breakouts retest the pattern boundary; stay patient if you see a pullback.
Risk Management : Maintain tight stops and consider using alerts for activation/breakout signals.
Why This Indicator?
Clear Visuals : Highlights the pattern boundary, breakout lines, and potential stop/target levels.
Customizable : Lets you adjust line styles, risk parameters, alerts, and statistics display.
Statistical Edge : Built-in table aggregates pattern counts, success/failure rates, and average durations.
Final Thoughts:
This Shark 32 Pro indicator gives you a systematic way to spot—and trade—a compact yet powerful three-candle formation. Combine it with solid risk management and trend analysis for best results. Monitor volume and confirm breakouts with a candle close beyond the pattern’s range. While the pattern can fail, tight stops and clear targets help keep your trading efficient and disciplined.
VWAP [cryptalent]VWAP Indicator with Adjustable Source
Overview
This TradingView indicator calculates Daily, Weekly, and Monthly VWAP (Volume Weighted Average Price) with the flexibility to select different price sources (Open, High, Low, Close, HLC3, etc.). It also displays previous period VWAP levels, helping traders analyze past liquidity zones.
Key Features:
✅ Adjustable Source – Users can choose the price used for VWAP calculations (e.g., Close, High, Low, Open).
✅ Multi-Timeframe VWAP – Tracks Daily, Weekly, and Monthly VWAP to provide a broader market view.
✅ Historical VWAP Levels – Displays previous VWAP values for comparison and reference.
✅ Step Line Style – Ensures clear distinction between different periods and prevents overlapping.
✅ Visible in the Price Scale – The latest and historical VWAP values are displayed in the right-hand price scale for easy reference.
Customization:
You can easily modify the input settings to match your trading style.
Adjust the VWAP source price to test different perspectives (e.g., Open vs. High vs. Close).
DCSessionStatsOHLC_v1.0DCSessionStatsOHLC_v1.0
© dc_77 | Pine Script™ v6 | Licensed under Mozilla Public License 2.0
This indicator overlays customizable session-based OHLC (Open, High, Low, Close) statistics on your TradingView chart. It tracks price action within user-defined sessions, calculates average manipulation and distribution levels based on historical data, and visually projects these levels with lines and labels. Additionally, it provides a session count table to monitor bullish and bearish sessions.
Key Features:
Session Customization: Define session time (e.g., "0000-1600") and time zone (e.g., UTC, America/New_York). Analyze up to 20 historical sessions.
Anchor Line: Displays a vertical line at session start with customizable style, color, and optional label.
Session Open Line: Plots a horizontal line at the session’s opening price with adjustable appearance and label.
Manipulation Levels: Calculates and projects average price extensions (high/low relative to open) for manipulative moves, shown as horizontal lines with labels.
Distribution Levels: Displays average price ranges (high/low beyond open) for distribution phases, with customizable lines and labels.
Visual Flexibility: Adjust line styles (solid, dashed, dotted), colors, widths, label sizes, and projection offsets (bars beyond session start).
Session Stats Table: Optional table showing counts of bullish (close > open) and bearish (close < open) sessions, with configurable position and size.
How It Works:
Tracks OHLC data within each session and identifies session start/end based on the specified time range.
Computes averages for manipulation (e.g., low below open in bullish sessions) and distribution (e.g., high above open) levels from past sessions.
Projects these levels forward as horizontal lines, extending them by a user-defined offset for easy reference.
Updates a table with real-time bullish/bearish session counts.
Use Case:
Ideal for traders analyzing intraday or custom session behavior, identifying key price levels, and gauging market sentiment over time.
Toggle individual elements on/off and fine-tune visuals to suit your trading style.
LineReg Candles with Hma filterOverview
Purpose:
The indicator creates “LinReg Candles” by recalculating OHLC values using linear regression (to smooth out noise) and overlays additional features such as a customizable signal line and an HMA (Hull Moving Average) filter for trend detection. It also plots buy/sell signals and supports alerts.
Customization:
Users can adjust settings for signal smoothing (choosing SMA, EMA, or WMA), HMA periods (preset for Scalping/Intraday or custom values), linear regression length, colors, display options, and alert messages. Inputs are organized into groups for clarity.
Input Definitions
Signal Settings:
signal_length and smoothingType define the period and method used to smooth the close price, creating a signal line.
HMA Filter Settings:
A dropdown (t_type) lets you choose between Scalping, Intraday, or Custom. Based on this, three HMA periods (hma1, hma2, hma3) are set either to fixed values or user-defined custom inputs.
LinReg Settings:
Users can toggle linear regression for OHLC values (lin_reg) and set its period (linreg_length) to reduce price noise.
Color and Display Settings:
These control the colors for buy/sell candles, default bullish/bearish candles, markers, and background highlighting. Display toggles decide whether to show the background, signal line, HMA filter, and the recalculated candles.
Alert and Plot Customization:
Alerts can be enabled with custom messages. Additionally, line width and transparency for the plotted signal and HMA lines are adjustable.
Function Definitions
calcOHLC Function:
Computes OHLC values using linear regression if enabled. Otherwise, it returns the raw price values. This helps in reducing noise.
calcSignalLine Function:
Applies the chosen moving average (SMA, EMA, or WMA) to smooth the recalculated close values and generate a signal line.
getBaseCandleColor Function:
Determines the candle’s base color. It assigns buy/sell colors if specific crossover conditions are met; if not, it defaults to bullish (green) or bearish (red) based on the open/close relationship.
HMA Filter Calculations
HMA Computation:
The script calculates three HMAs (ma1, ma2, ma3) for different periods.
Trend Determination:
It sets a bullish condition (bcn) when ma3 is lower than both ma1 and ma2 with ma1 above ma2. Conversely, a bearish condition (scn) is set when ma3 is higher and the order of the HMAs indicates a downtrend.
Color Coding:
The HMA filter line color changes dynamically (green for bullish, red for bearish) based on these conditions.
Main Calculations
LinReg Candles:
Using the calcOHLC function, the script calculates the new open, high, low, and close values that reduce price noise.
Signal Line:
The signal line is computed on the basis of the smoothed close values using the selected moving average.
Buy/Sell Conditions:
Initial conditions are determined by checking if the recalculated close price crosses over (buy) or under (sell) the signal line.
The base candle color is then adjusted: if the HMA filter confirms the trend (bullish for buy or bearish for sell), the respective buy/sell colors are enforced.
A change in candle color compared to the previous bar triggers a buy or sell signal.
Plotting and Alerts
Visual Elements:
Background: Highlights the chart with a custom color when buy or sell conditions are met.
HMA Filter Line: Plotted (if enabled) with the dynamic color determined earlier.
Candles: The recalculated LinReg candles are drawn with colors based on the combined conditions.
Signal Line: Plotted over the candles with adjustable transparency and width.
Markers: Buy and sell markers are added to visually indicate signal points on the chart.
Alerts:
Alert conditions are set to trigger with predefined messages when a buy or sell signal is generated.
Modularity & Flexibility:
The code is structured with modular functions and clear grouping of inputs, making it highly customizable and user-friendly for open-source TradingView users.
Important how to track the real price on chart:
Locate the Chart Type Menu:
At the top of your TradingView chart, you’ll see a button showing the current chart type (likely a candlestick icon).
Select “Line” from the Dropdown:
Click that button and choose “Line” in the dropdown menu. This changes the main chart to a line chart of the real price.
Screenshots:
Quantum Liquidity Fractal Dynamics (QLFD) v2.1The Quantum Liquidity Fractal Dynamics (QLFD) v2.1 is an advanced multi-dimensional market analysis too l engineered for professional traders seeking to identify high-probability liquidity-driven reversals. Built upon a proprietary Fractal-Liquidity Convergence Model (FLCM), QLFD v2.1 leverages quantum-phase liquidity oscillations and institutional absorption mapping to dynamically assess order flow efficiency within multi-timeframe market structures.
Core Algorithmic Methodology
QLFD v2.1 integrates a Hybridized Recursive Liquidity Matrix (HRLM) with High-Frequency Adaptive EMA Displacement (HFAED) to model non-linear liquidity density clusters. This proprietary framework is further reinforced by a Multi-Layered RSI Vorticity Filter (MLRVF), enhancing the signal integrity by filtering out stochastic noise anomalies.
The EMA-200 Rejection Dynamics, combined with the Vortex RSI Momentum Refraction Index (VRMRI), allow the system to isolate institutional footprint imbalances. By capturing transient liquidity voids and microstructure inefficiencies, QLFD v2.1 enables traders to position themselves ahead of high-probability liquidity sweeps.
Signal Efficiency & Institutional Calibration
While QLFD v2.1 exhibits an exceptionally high accuracy rate in identifying potential reversal vectors, it is imperative for traders to exercise institutional-grade signal filtration. The indicator autonomously detects Phase-Induced False Signal Clusters (PIFSCs), yet discretion remains paramount in avoiding transient liquidity mirages—a common occurrence in markets exhibiting hyper-fractalized liquidity dislocations.
For optimal performance, professional traders must apply a Multi-Stage Confirmation Protocol (MSCP), leveraging additional confluence layers such as:
Order Flow Delta Cohesion (OFDC)
Gamma-Weighted Imbalance Deviation (GWID)
Synthetic Volume Shockwave Ratio (SVSR)
These advanced methodologies ensure that traders engage only with high-probability fractal reversals, filtering out structurally unreliable signals induced by inter-market arbitrage distortions.
Final Thoughts
QLFD v2.1 is not designed for retail-grade signal chasing. It is an institutional-grade analytical framework tailored for professionals who understand the fractal complexity of modern liquidity landscapes. Mastering the art of discretionary filtration—by distinguishing true liquidity-driven reversals from algorithmically-induced decoy impulses—is the key to leveraging this system’s full potential.
Volatility-Driven CandleThis indicator identifies and highlights "volatility-driven candles" on a price chart, based on their body size relative to market volatility. It calculates the Average True Range (ATR) over a 14-period window to measure volatility. A candle is considered "volatility-driven" if its body (the difference between the close and open prices) exceeds a user-defined threshold, which is specified as a multiple of the ATR.
The script distinguishes between bullish and bearish volatility-driven candles:
Bullish volatility-driven candles (where the close is greater than the open) are marked with a blue label.
Bearish volatility-driven candles (where the close is less than the open) are marked with an orange label.
Additionally, the background color of the chart is shaded:
Blue for bullish volatility-driven candles.
Orange for bearish volatility-driven candles.
This script helps traders easily spot significant price movements relative to volatility, highlighting potential reversal points based on candle body size.
Market DNA: Structure, Volume, Range, and SessionsMarket DNA: Structure, Volume, Range, and Sessions**
The Market DNA indicator combines market structure, volume analysis, trading ranges, and global trading sessions into a single, comprehensive tool for traders. It helps identify key price levels, volume patterns, consolidation phases, and active market periods, enabling informed trading decisions.
Market Structure Detects swing highs and lows using `ta.pivothigh` and `ta.pivotlow`, plotting them as red/green triangles to highlight support/resistance and trend reversals.
- Fractal Volume Zones (FVG): Highlights areas of significant buying/selling pressure by comparing current volume to an average over a lookback period; high-volume zones are marked with a semi-transparent blue background.
- Trading Range: Defines a price channel using the Average True Range (ATR) and a multiplier, creating upper/lower bands to identify consolidation, breakouts, and potential trade levels.
- Market Sessions: Highlights major global trading sessions (Asia, Europe, US) with colored backgrounds (purple, teal, yellow) to indicate liquidity and volatility shifts.
How It Works
- Swing points help analyze trends and reversals.
- FVG confirms price movements with high volume for stronger signals.
- Trading range bands assist in identifying breakout opportunities and setting stops/take-profits.
- Session highlights allow traders to adapt strategies based on regional activity.
Customization
- Adjust `swing_length` for sensitivity in detecting turning points.
- Modify `volume_lookback` to control volume averaging.
- Tune `range_multiplier` for wider/narrower trading bands.
- Enable/disable session highlighting via `session_highlight`.
Use Cases
- Identify trends and key levels using swing points and FVG.
- Spot breakout opportunities with trading range bands.
- Adapt strategies to regional trading sessions for optimal timing.
This all-in-one indicator provides a clear, customizable view of the market, empowering traders to make data-driven decisions across asset classes and timeframes.
Crystal Cloud EMA# Crystal Cloud EMA Indicator 🚀
The **Crystal Cloud EMA Indicator** is a hybrid technical analysis tool that uniquely merges the multi-dimensional perspective of the Ichimoku Cloud with the precision of EMA crossovers (EMA 50 & EMA 200). This integration is designed to help traders identify key market trends, dynamic support and resistance zones, and potential momentum shifts with enhanced clarity and reliability.
---
## Key Components & Originality
### Ichimoku Cloud
- **Dynamic Support & Resistance:**
Utilizes standard Ichimoku calculations to form a cloud (Kumo) that highlights areas where price may find support or resistance.
- **Visual Clarity:**
The cloud’s upper and lower boundaries provide clear visual cues of market sentiment, helping to identify potential reversal or consolidation zones.
### EMA 50 & EMA 200
- **Trend Confirmation:**
These exponential moving averages smooth price data to reveal underlying trends.
- **Crossover Signals:**
A crossover of EMA 50 and EMA 200 is used as a signal confirmation—when EMA 50 crosses above EMA 200, it suggests a bullish trend; when it crosses below, it indicates a bearish trend.
### Unique Integration
- **Combined Analysis for Enhanced Accuracy:**
By fusing the Ichimoku Cloud’s dynamic support/resistance zones with the precise timing of EMA crossovers, the indicator minimizes false signals.
- **Confluence of Methods:**
Only when both the cloud position and EMA crossover align does the indicator generate a trading signal, offering a more robust framework than using either method in isolation.
---
## How It Works
1. **Cloud Evaluation:**
- The indicator calculates the Ichimoku Cloud using traditional parameters, establishing dynamic zones where price reactions are likely.
- It monitors how price interacts with these zones, signaling potential momentum shifts when the price moves in or out of the cloud.
2. **EMA Crossover Analysis:**
- Simultaneously, it computes EMA 50 and EMA 200.
- **Bullish Condition:** When price is above the cloud and EMA 50 crosses above EMA 200.
- **Bearish Condition:** When price is below the cloud and EMA 50 crosses below EMA 200.
3. **Signal Confirmation:**
- A breakout from the cloud, in conjunction with a crossover, further validates the strength of the trend.
- This dual confirmation approach filters out market noise and increases the reliability of the signals.
---
## Trading Strategy & Usage
### Buy Signal
- **Conditions:**
- Price is trading above the Ichimoku Cloud.
- EMA 50 crosses above EMA 200.
- A confirmed breakout above the cloud supports the bullish trend.
- **Application:**
- Enter long positions when these conditions align.
- Use the cloud’s lower boundary for potential stop-loss placement and set profit targets based on key resistance levels identified by the cloud.
### Sell Signal
- **Conditions:**
- Price is trading below the Ichimoku Cloud.
- EMA 50 crosses below EMA 200.
- A breakdown below the cloud reinforces the bearish trend.
- **Application:**
- Enter short positions under these conditions.
- Use the cloud’s upper boundary as a reference for setting stop-loss orders and profit targets.
### Best Timeframes & Trading Styles
- **Timeframes:**
Optimally used on M30 and higher timeframes to ensure trend reliability and reduce market noise.
- **Trading Styles:**
Suitable for swing trading, intraday trading, and momentum-based strategies.
- **Risk Management:**
Always complement indicator signals with additional analysis (like volume or price action) and apply proper risk management techniques.
---
## Important Note
This indicator is a **technical analysis tool** designed to assist traders in identifying market trends and potential reversal points. It should be used in conjunction with comprehensive market analysis and proper risk management. Trading decisions should not rely solely on this indicator.
Pivot Points [SMRT Algo]Pivot Points is a free, innovative indicator designed to automatically detect and highlight key turning points on your TradingView charts through advanced candlestick pattern analysis. This indicator is perfect for traders seeking clear visual signals for potential trend reversals.
How It Works:
Candlestick Pattern Analysis: The indicator continuously scans for specific candlestick formations. It identifies a potential high pivot when a bullish candle (where the close is higher than the open) is immediately followed by a bearish candle (where the close is lower than the open). Conversely, a potential low pivot is detected when a bearish candle is followed by a bullish candle.
Boxing the Price Range: Once a potential pivot is identified, the algorithm draws a box around the corresponding price range. This box captures the area where the price action is concentrated, serving as a zone of interest for the pivot.
Confirmation of Major Pivots: The initial detection marks what we call a "minor pivot" with a temporary yellow box. The indicator then waits for subsequent price action. If the price fails to break out of this box—meaning it remains confined within the defined boundaries—the pivot is confirmed as a major pivot. At this stage, the yellow box changes color to green (or red, depending on whether it’s a high or low pivot), clearly marking the confirmed turning point.
Pivot Sequence: The progression follows a clear sequence: Minor Pivot ➔ Yellow Box ➔ Major Pivot. This step-by-step visual guide helps traders quickly interpret the strength and significance of the pivot.
Inputs:
Show Labels: An input option allows you to toggle pivot labels on or off, so you can choose whether to display descriptive labels directly on your chart.
Adjustable Colors: The colors of the pivot points—including the green and red boxes—are fully customizable via the input settings. This ensures that you can tailor the visual appearance of the indicator to match your personal charting style or trading strategy.
Enhancing Entry and Exit Strategies
Entry Points: Look to enter a trade when the indicator confirms a pivot (after the box changes color). A confirmed pivot could indicate that a reversal is underway, giving you a potential entry signal.
Exit Points & Stop Losses: Use the boundaries of the pivot box to set stop losses. For example, if you’re in a long trade and the price approaches a confirmed resistance pivot, consider this a signal to tighten stops or exit, as the trend may reverse.
Confluence with Other Indicators: Combine the pivot point signals with other tools like RSI, MACD, or volume indicators. If multiple signals point to a reversal at the same pivot, it strengthens your confidence in the trade decision.
Trading Strategy Applications
Reversal Trading: Use confirmed pivot points as indicators for potential reversals. Enter trades when the price action validates the pivot point, anticipating that the market is turning.
Range Trading: When the price oscillates within a defined pivot box, you can use the top and bottom of the box as potential boundaries for a range-trading strategy.
Breakout Trading: Conversely, if the price breaks out of a pivot box, this may signal the start of a new trend. You can use this breakout as a trigger for entering a position in the direction of the breakout.
The indicator highlights potential reversal zones with clearly marked boxes and labels, making it easier to spot key turning points and manage trades effectively.
Pivot Points removes the guesswork by automatically scanning for and confirming pivot points based on rigorous candlestick analysis.
Whether you're a day trader or a swing trader, Pivot Points provides actionable insights into market dynamics, helping you to better time entries and exits.
3 Red / 3 Green Strategy with Volatility CheckStrategy Name: 3 Red / 3 Green Strategy with Volatility Check by AlgoTradeKit
Overview
This long-only strategy is designed for daily bars on NASDAQ (or similar instruments) and combines simple price action with a volatility filter. It “tells it like it is” – enter when the market shows weakness, but only in sufficiently volatile conditions, and exit either on signs of a reversal or after a set number of days.
Entry Conditions
- Price Action :
Enter a long position when there are 3 consecutive red days (each day's close is below its open).
- Volatility Filter :
The entry is allowed only if the current ATR (Average True Range) calculated over the specified ATR Period (default 12) is greater than its 30-day simple moving average. This ensures the market has enough volatility to justify the trade.
Exit Conditions
- Reversal Signal :
Exit the long position when 3 consecutive green days occur (each day's close is above its open), signaling a potential reversal.
- Time Limit :
Regardless of market conditions, any open trade is closed if it reaches the Maximum Trade Duration (default 22 days). This helps limit exposure during stagnant or unfavorable market conditions.
- You can toggle the three-green-day exit if you want to isolate the time-based exit.
Input Parameters
- Maximum Trade Duration (days): Default is 22 days.
- ATR Period: Default is 12.
- Use 3 Green Days Exit: Toggle to enable or disable the three-green-day exit condition.
How It Works
1. Entry: The strategy monitors daily price action for 3 consecutive down days. When this occurs and if the market is volatile enough (current ATR > 30-day ATR average), it opens a long position.
2. Exit: The position is closed if the price action reverses with 3 consecutive up days or if the trade has been open for the maximum allowed duration - i.e. use it on daily chart.
Risk Management
- The built-in maximum trade duration prevents trades from lingering too long in a non-trending or consolidating market.
- The volatility filter helps ensure that trades are only taken when there is sufficient price movement, potentially increasing the odds of a meaningful move.
Disclaimer
This strategy is provided “as is” without any warranties. It is essential to backtest and validate the performance on your specific instrument and market conditions before deploying live capital. Trading involves significant risk, and you should adjust parameters to match your risk tolerance.
Test and tweak this strategy to see if it fits your trading style and market conditions. Happy trading!
Pre-London High-Low Breakout IndicatorOverview
The Pre-London High-Low Breakout Indicator helps traders identify breakout opportunities at the London session open. It marks the high and low one hour before London opens (5 PM - 6 PM AEST) and incorporates a 200 SMA filter to confirm trade direction. The indicator also provides real-time breakout markers for precise entries.
How the Indicator Works
1. Pre-London High & Low Identification (5 PM - 6 PM AEST)
The indicator tracks the highest and lowest price levels within this period.
These levels act as key breakout zones once London opens.
The high and low remain visible until 12 AM AEST for reference.
2. 200 SMA as a Trend Filter
A 200 SMA (yellow, thick line) is plotted to filter breakout trades.
Only long (buy) trades are valid if price is above the 200 SMA.
Only short (sell) trades are valid if price is below the 200 SMA.
3. Real-Time Breakout Confirmation
Buy Signal (Green Diamond):
Price breaks above the pre-London high.
Price is above the 200 SMA.
Sell Signal (Red Diamond):
Price breaks below the pre-London low.
Price is below the 200 SMA.
No signal appears if the breakout is against the SMA trend, reducing false trades.
How to Use the Indicator Properly
Step 1: Identify the Pre-London Range (5 PM - 6 PM AEST)
Observe price movements and note the session high & low.
Do not take trades within this period—wait for a clear breakout.
Step 2: Wait for a Breakout After 6 PM AEST
A breakout must occur beyond the session high or low.
The breakout should be clear and decisive, not hovering around the range.
Step 3: Confirm with the 200 SMA
If price is above the 200 SMA, only buy signals are valid.
If price is below the 200 SMA, only sell signals are valid.
If a breakout occurs against the SMA, ignore it.
Step 4: Enter the Trade and Manage Risk
Enter the trade after the breakout candle closes.
Set stop-loss just inside the pre-London range to minimize risk.
Take profit using a 1:2 or 1:3 risk-reward ratio, or trail the stop.
Why This Strategy Works
Pre-London Liquidity Grab: Institutional traders set positions before the London open, making this range significant.
Trend Confirmation with SMA: Reduces false breakouts by filtering trades in the direction of the trend.
Real-Time Breakout Detection: Green and red diamond markers highlight valid breakouts that meet all conditions.
Final Notes
If price breaks out but quickly reverses, it may be a false breakout—avoid impulsive trades.
The indicator works best when combined with other confluences such as volume analysis or key support/resistance levels.
Alerts can be added to notify traders when a valid breakout occurs.
This setup is ideal for traders looking for a structured, rule-based approach to trading London session breakouts with a strong trend confirmation mechanism.
OHLC OLHC - Monthly, Weekly, Daily and HourlyThis indicator plots the previous day's (or any selected timeframe’s) Open, High, Low, and Close (OHLC) levels on the current chart. It helps traders analyze historical price levels to identify support and resistance zones.
Key Features:
Multi-Timeframe Support:
Users can select a timeframe (D, W, M, etc.) to fetch previous OHLC data.
The script requests OHLC values from the selected timeframe and overlays them on the current chart.
Customizable Display Options:
Users can choose to display only the last OHLC levels instead of all past session levels.
Users can extend the OHLC lines across the chart.
Background Highlighting:
The script fills the background only for the Previous Open and Previous Close levels, making them visually distinct.
Previous High and Low levels do not have background color.
This script is particularly useful for day traders and swing traders who rely on key price levels to make trading decisions. Let me know if you need further refinements!
Aggressive Strategy for High IV Market### Strategic background
In a volatile high IV market, prices are volatile and market expectations of future uncertainty are high. This environment provides opportunities for aggressive trading strategies, but also comes with a high level of risk. In pursuit of a high Sharpe ratio (i.e., risk-adjusted return), we need to design a strategy that captures the benefits of market volatility while effectively controlling risk. Based on daily line cycles, I choose a combination of trend tracking and volatility filtering for highly volatile assets such as stocks, futures or cryptocurrencies.
---
### Strategy framework
#### Data
- Use daily data, including opening, closing, high and low prices.
- Suitable for highly volatile markets such as technology stocks, cryptocurrencies or volatile index futures.
#### Core indicators
1. ** Trend Indicators ** :
Fast Exponential Moving Average (EMA_fast) : 10-day EMA, used to capture short-term trends.
- Slow Exponential Moving Average (EMA_slow) : 30-day EMA, used to determine the long-term trend.
2. ** Volatility Indicators ** :
Average true Volatility (ATR) : 14-day ATR, used to measure market volatility.
- ATR mean (ATR_mean) : A simple moving average of the 20-day ATR that serves as a volatility benchmark.
- ATR standard deviation (ATR_std) : The standard deviation of the 20-day ATR, which is used to judge extreme changes in volatility.
#### Trading logic
The strategy is based on a trend following approach of double moving averages and filters volatility through ATR indicators, ensuring that trading only in a high-volatility environment is in line with aggressive and high sharpe ratio goals.
---
### Entry and exit conditions
#### Admission conditions
- ** Multiple entry ** :
- EMA_fast Crosses EMA_slow (gold cross), indicating that the short-term trend is turning upward.
-ATR > ATR_mean + 1 * ATR_std indicates that the current volatility is above average and the market is in a state of high volatility.
- ** Short Entry ** :
- EMA_fast Crosses EMA_slow (dead cross) downward, indicating that the short-term trend turns downward.
-ATR > ATR_mean + 1 * ATR_std, confirming high volatility.
#### Appearance conditions
- ** Long show ** :
- EMA_fast Enters the EMA_slow (dead cross) downward, and the trend reverses.
- or ATR < ATR_mean-1 * ATR_std, volatility decreases significantly and the market calms down.
- ** Bear out ** :
- EMA_fast Crosses the EMA_slow (gold cross) on the top, and the trend reverses.
- or ATR < ATR_mean-1 * ATR_std, the volatility is reduced.
---
### Risk management
To control the high risk associated with aggressive strategies, set up the following mechanisms:
1. ** Stop loss ** :
- Long: Entry price - 2 * ATR.
- Short: Entry price + 2 * ATR.
- Dynamic stop loss based on ATR can adapt to market volatility changes.
2. ** Stop profit ** :
- Fixed profit target can be selected (e.g. entry price ± 4 * ATR).
- Or use trailing stop losses to lock in profits following price movements.
3. ** Location Management ** :
- Reduce positions appropriately in times of high volatility, such as dynamically adjusting position size according to ATR, ensuring that the risk of a single trade does not exceed 1%-2% of the account capital.
---
### Strategy features
- ** Aggressiveness ** : By trading only in a high ATR environment, the strategy takes full advantage of market volatility and pursues greater returns.
- ** High Sharpe ratio potential ** : Trend tracking combined with volatility filtering to avoid ineffective trades during periods of low volatility and improve the ratio of return to risk.
- ** Daily line Cycle ** : Based on daily line data, suitable for traders who operate frequently but are not too complex.
---
### Implementation steps
1. ** Data Preparation ** :
- Get the daily data of the target asset.
- Calculate EMA_fast (10 days), EMA_slow (30 days), ATR (14 days), ATR_mean (20 days), and ATR_std (20 days).
2. ** Signal generation ** :
- Check EMA cross signals and ATR conditions daily to generate long/short signals.
3. ** Execute trades ** :
- Enter according to the signal, set stop loss and profit.
- Monitor exit conditions and close positions in time.
4. ** Backtest and Optimization ** :
- Use historical data to backtest strategies to evaluate Sharpe ratios, maximum retracements, and win rates.
- Optimize parameters such as EMA period and ATR threshold to improve policy performance.
---
### Precautions
- ** Trading costs ** : Highly volatile markets may result in frequent trading, and the impact of fees and slippage on earnings needs to be considered.
- ** Risk Control ** : Aggressive strategies may face large retracements and need to strictly implement stop losses.
- ** Scalability ** : Additional metrics (such as volume or VIX) can be added to enhance strategy robustness, or combined with machine learning to predict trends and volatility.
---
### Summary
This is a trend following strategy based on dual moving averages and ATR, designed for volatile high IV markets. By entering into high volatility and exiting into low volatility, the strategy combines aggressive and risk-adjusted returns for traders seeking a high sharpe ratio. It is recommended to fully backtest before implementation and adjust the parameters according to the specific market.
Combined Sequences (Tribonacci, Tetranacci, Lucas)🎯 Combined Sequences (Tribonacci, Tetranacci, Lucas) Indicator 🎯
Unlock the power of advanced mathematical sequences in your trading strategy with the **Combined Sequences Indicator**! This tool integrates **Tribonacci**, **Tetranacci**, and **Lucas** levels to help you identify key support and resistance zones with precision. Whether you're a day trader, swing trader, or long-term investor, this indicator provides a unique perspective on price action by combining multiple sequence-based levels.
---
### **Key Features:**
1. **Multiple Sequence Levels**:
- **Tribonacci Levels**: Based on the Tribonacci sequence, these levels are ideal for identifying dynamic support and resistance.
- **Tetranacci Levels**: A more advanced sequence that adds depth to your analysis.
- **Lucas Levels**: Derived from the Lucas sequence, these levels offer additional insights into market structure.
2. **Customizable Levels**:
- Choose the number of levels to display (up to 20).
- Toggle between **positive** and **negative** levels for each sequence.
3. **Flexible Price Source**:
- Select your preferred price type: **Open**, **High**, **Low**, **Close**, **HL2**, **HLC3**, or **HLCC4**.
4. **Customizable Line Styles**:
- Choose from **Solid**, **Dashed**, or **Dotted** lines.
- Adjust line width and extension type (**Left**, **Right**, or **Both**).
5. **Dynamic Labels**:
- Add labels to levels for better readability.
- Customize label position (**Left**, **Center**, or **Right**) and text size (**Normal**, **Small**, or **Tiny**).
6. **Timeframe Flexibility**:
- Works on any timeframe, from **1-minute** charts to **monthly** charts.
---
### **How It Works:**
- The indicator calculates **Tribonacci**, **Tetranacci**, and **Lucas** levels based on the selected price source and timeframe.
- These levels are plotted on the chart, providing clear visual cues for potential support and resistance zones.
- You can toggle each sequence on or off, allowing you to focus on the levels that matter most to your strategy.
---
### **Why Use This Indicator?**
- **Enhanced Market Analysis**: Combine multiple mathematical sequences to gain a deeper understanding of price action.
- **Customizable**: Tailor the indicator to your trading style with flexible settings.
- **User-Friendly**: Easy-to-use interface with clear visual outputs.
- **Versatile**: Suitable for all trading styles and instruments (stocks, forex, crypto, commodities, etc.).
---
### **How to Use:**
1. Add the indicator to your chart.
2. Configure the settings in the **Inputs** tab:
- Choose which sequences to display (Tribonacci, Tetranacci, Lucas).
- Adjust the number of levels, line styles, and label settings.
3. Use the levels to identify potential entry, exit, and stop-loss points.
---
### **Perfect For:**
- Traders looking for advanced support and resistance levels.
- Those who want to incorporate mathematical sequences into their analysis.
- Anyone seeking a customizable and versatile trading tool.
---
**🚀 Take Your Trading to the Next Level with Combined Sequences! 🚀**
---
### **Disclaimer**:
This indicator is a tool to assist in your trading decisions. It does not guarantee profits or predict market movements. Always use proper risk management and combine this tool with other analysis techniques.
---
**📈 Ready to Elevate Your Trading? Add the Combined Sequences Indicator to Your Chart Today! 📉**
Dynamic Square Levels**Dynamic Square Levels with Strict Range Condition**
This script is designed to help traders visualize dynamic price levels based on the square root of the current price. It calculates key levels above and below the current price, providing a clear view of potential support and resistance zones. The script is highly customizable, allowing you to adjust the number of levels, line styles, and label settings to suit your trading strategy.
---
### **Key Features**:
1. **Dynamic Square Levels**:
- Calculates price levels based on the square root of the current price.
- Plots levels above and below the current price for better market context.
2. **Range Condition**:
- Lines are only drawn when the current price is closer to the base level (`square(base_n)`) than to the next level (`square(base_n + 1)`).
- Ensures levels are only visible when they are most relevant.
3. **Customizable Levels**:
- Choose the number of levels to plot (up to 20 levels).
- Toggle additional levels (e.g., 0.25, 0.5, 0.75) for more granular analysis.
4. **Line and Label Customization**:
- Adjust line width, style (solid, dashed, dotted), and extend direction (left, right, both, or none).
- Customize label text, size, and position for better readability.
5. **Background Highlight**:
- Highlights the background when the current price is closer to the base level, providing a visual cue for key price zones.
---
### **How It Works**:
- The script calculates the square root of the current price and uses it to generate dynamic levels.
- Levels are plotted above and below the current price, with customizable spacing.
- Lines and labels are only drawn when the current price is within a specific range, ensuring clean and relevant visuals.
---
### **Why Use This Script?**:
- **Clear Visuals**: Easily identify key support and resistance levels.
- **Customizable**: Tailor the script to your trading style with adjustable settings.
- **Efficient**: Levels are only drawn when relevant, avoiding clutter on your chart.
---
### **Settings**:
1. **Price Type**: Choose the price source (Open, High, Low, Close, HL2, HLC3, HLCC4).
2. **Number of Levels**: Set the number of levels to plot (1 to 20).
3. **Line Style**: Choose between solid, dashed, or dotted lines.
4. **Line Width**: Adjust the thickness of the lines (1 to 5).
5. **Label Settings**: Customize label text, size, and position.
---
### **Perfect For**:
- Traders who rely on dynamic support and resistance levels.
- Those who prefer clean and customizable chart visuals.
- Anyone looking to enhance their price action analysis.
---
**Get started today and take your trading to the next level with Dynamic Square Levels!** 🚀
DCStatCalcs_v0.1DCStatCalcs_v0.1 - Session-Based Statistical Projections
This Pine Script indicator overlays customizable horizontal lines on your chart to visualize a session's opening price and its statistical projections based on historical standard deviation (SD). Designed for traders who want to analyze price behavior within defined time sessions, it calculates and plots the session open price along with optional projection lines at 0.5, 1.0, 1.5, 2.0, and 2.5 standard deviations above and below the open, derived from past session data.
Key Features:
Customizable Sessions: Define your session time (e.g., 0600-1500) and timezone (e.g., America/New_York).
Historical Analysis: Uses a user-specified number of past sessions (default: 20) to compute the standard deviation of price movements relative to the session open.
Projection Lines: Displays toggleable lines at multiple SD levels with adjustable styles, colors, and widths for easy visualization.
Flexible Display: Extend lines beyond the current bar with an offset setting, and adjust label sizes for clarity.
Real-Time Updates: Lines dynamically extend as the session progresses, keeping projections relevant to the current bar.
How It Works:
At the start of each user-defined session, the indicator records the opening price and calculates the SD based on price deviations from the open across historical sessions. It then plots the open price line and, if enabled, projection lines at the specified SD intervals. These lines help traders identify potential support, resistance, or volatility zones based on statistical norms.
Use Case:
Ideal for day traders or analysts working with intraday charts to gauge price ranges and volatility within specific trading sessions, such as market opens or key economic hours.
Published under the Mozilla Public License 2.0. Created by dc_77.
Daily True Range (DTR) vs Average True Range (ATR)Overview
The "DTR vs ATR with Color-Coded Percentage" indicator is a powerful volatility analysis tool designed for traders who want to understand daily price movements in the context of historical volatility. It calculates the Daily True Range (DTR)—the raw measure of a single day’s volatility—and compares it to the Average True Range (ATR), which smooths volatility over a user-defined period (default 14 days). The indicator presents this data in an intuitive table, featuring a color-coded percentage that visually represents how the current day’s move (DTR) stacks up against the average volatility (ATR). This helps traders quickly assess whether the current day’s price action is unusually volatile, average, or subdued relative to recent history.
Purpose
Volatility Comparison: Visualize how the current day’s price range (DTR) relates to the average range (ATR) over a specified period.
Decision Support: Identify days with exceptional movement (e.g., breakouts or reversals) versus normal or quiet days, aiding in trade entry/exit decisions.
Risk Management: Gauge daily volatility to adjust position sizing or stop-loss levels based on whether the market is exceeding or falling short of typical movement.
Features
Daily True Range (DTR) Calculation:
Computes the True Range for the current day as the greatest of:
Current day’s High - Low
High - Previous Close
Low - Previous Close
Aggregates data on any timeframe to ensure accurate daily values.
Average True Range (ATR):
Calculates the smoothed average of DTR over a customizable period (default 14 days) using Wilder’s smoothing method.
Updates in real-time as the day progresses.
Timeframe Flexibility: Works on any chart timeframe (e.g., 1-minute, 1-hour) while always calculating DTR and ATR based on daily data.
Color-Coded Display in either compact or table mode
The percentage value is color-coded in the table based on configurable thresholds:
Safe (default 75): Normal range, within typical volatility
Warning: (default 75-125): Above-average volatility.
Danger (default 125): Exceptionally high volatility
SMC Liquidity & Order Blocks🔹 1. Moving Averages for Trend Confirmation
Uses Exponential Moving Averages (EMA) to determine trend direction.
9-period EMA (blue) and 15-period EMA (red) are plotted.
🔹 2. Liquidity Zones (Swing Highs & Lows)
Identifies liquidity zones where price is likely to react.
Buy-Side Liquidity: Highest high over 20 periods (Green line).
Sell-Side Liquidity: Lowest low over 20 periods (Red line).
🔹 3. Order Block Detection
Detects bullish and bearish order blocks (key price zones of institutional activity).
Bullish Order Block (OB): Formed when the highest close over 5 bars exceeds the highest high.
Bearish Order Block (OB): Formed when the lowest close over 5 bars is lower than the lowest low.
Plotted using green (up-triangle) for bullish OB and red (down-triangle) for bearish OB.
🔹 4. Fair Value Gaps (FVG)
Detects price inefficiencies (gaps between candles).
FVG Up: When a candle's high is lower than a candle two bars ahead.
FVG Down: When a candle's low is higher than a candle two bars ahead.
Plotted using blue circles (FVG Up) and orange circles (FVG Down).
CHoCH Detector – A Clean & Effective Market Structure Tool🔍 Overview:
This CHoCH Detector is designed for traders who focus on market structure shifts. CHoCH (Change of Character) is a key early sign of potential trend reversals. This script helps identify CHoCH based on swing structure, candle strength, and higher timeframe confirmation for better reliability.
📌 Key Features:
✅ CHoCH Detection: Identifies early trend shifts (Uptrend & Downtrend).
✅ Custom Swing Lookback: Adjust how far back the script looks for swing highs/lows.
✅ Retracement Strength Check: Ensures CHoCH has enough momentum to be valid.
✅ Retest Condition: Allows price to slightly deviate from the break level.
✅ Higher Timeframe Confirmation (Optional): Helps filter out weak CHoCH signals.
✅ Clean & Simple Visualization: Labels solid green CHoCH for uptrend & solid red CHoCH for downtrend.
📌 How the CHoCH Detection Works
1️⃣ Swing Highs & Lows:
The script checks for the highest high and lowest low within a user-defined Swing Lookback period.
If price breaks the previous swing high/low, it signals a potential CHoCH.
2️⃣ CHoCH Confirmation with Candle Strength:
To avoid false signals, CHoCH must have a strong enough price move.
It calculates the average body size over a Retracement Lookback period and multiplies it by 1.5 to ensure significant price movement.
3️⃣ Retest Condition:
A valid CHoCH allows slight price deviation after the structure shift (acts as a retest zone).
4️⃣ Higher Timeframe Confirmation (Optional):
If enabled, the script compares current CHoCH with a higher timeframe swing structure to reduce false signals.
📌 Script Inputs & Adjustments
Swing Lookback (Default: 10): Defines how many candles to check for previous swing highs/lows.
Retracement Lookback (Default: 5): Defines the number of candles for calculating the average body size (used to validate CHoCH strength).
Higher Timeframe Confirmation (Default: ON): Helps filter false signals by checking a larger market structure.
📌 Why Use This CHoCH Detector?
✅ Lightweight & Simple – No clutter, just clean CHoCH signals.
✅ Customizable Lookback Periods – Adjust sensitivity for different timeframes.
✅ Stronger CHoCH Validation – Avoids weak signals using retracement strength check.
✅ Works with Any Strategy – Can be combined with Fibonacci, FRVP, Trend Analysis, etc.
🚀 This script is ideal for traders who want an efficient and reliable CHoCH detection tool!
Previous Day's Close Indicator (Regular Hours)This indicator was developed to replace TradingView's built-in previous close indicator—which erroneously uses the close from two trading days prior. By capturing the actual last trade during the standard session, this script provides a reliable and precise previous close level.
Key features include:
Accurate Previous Close: This indicator locks in the last trade of the regular session, ensuring you always see the true previous day close.
Customizable Display Options: Users can choose between a line or circle plot, with adjustable size settings to suit their charting preferences.
Enjoy!
