DYNAMIC TRADING DASHBOARDStudy Material for the "Dynamic Trading Dashboard"
This Dynamic Trading Dashboard is designed as an educational tool within the TradingView environment. It compiles commonly used market indicators and analytical methods into one visual interface so that traders and learners can see relationships between indicators and price action. Understanding these indicators, step by step, can help traders develop discipline, improve technical analysis skills, and build strategies. Below is a detailed explanation of each module.
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1. Price and Daily Reference Points
The dashboard displays the current price, along with percentage change compared to the day’s opening price. It also highlights whether the price is moving upward or downward using directional symbols. Alongside, it tracks daily high, low, open, and daily range.
For traders, daily levels provide valuable reference points. The daily high and low are considered intraday support and resistance, while the median price of the day often acts as a pivot level for mean reversion traders. Monitoring these helps learners see how price oscillates within daily ranges.
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2. VWAP (Volume Weighted Average Price)
VWAP is calculated as a cumulative average price weighted by volume. The dashboard compares the current price with VWAP, showing whether the market is trading above or below it.
For traders, VWAP is often a guide for institutional order flow. Price trading above VWAP suggests bullish sentiment, while trading below VWAP indicates bearish sentiment. Learners can use VWAP as a training tool to recognize trend-following vs. mean reversion setups.
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3. Volume Analysis
The system distinguishes between buy volume (when the closing price is higher than the open) and sell volume (when the closing price is lower than the open). A progress bar highlights the ratio of buying vs. selling activity in percentage.
This is useful because volume confirms price action. For instance, if prices rise but sell volume dominates, it can signal weakness. New traders learning with this tool should focus on how volume often precedes price reversals and trends.
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4. RSI (Relative Strength Index)
RSI is a momentum oscillator that measures price strength on a scale from 0 to 100. The dashboard classifies RSI readings into overbought (>70), oversold (<30), or neutral zones and adds visual progress bars.
RSI helps learners understand momentum shifts. During training, one should notice how trending markets can keep RSI extended for longer periods (not immediate reversal signals), while range-bound markets react more sharply to RSI extremes. It is an excellent tool for practicing trend vs. range identification.
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5. MACD (Moving Average Convergence Divergence)
The MACD indicator involves a fast EMA, slow EMA, and signal line, with focus on crossovers. The dashboard shows whether a “bullish cross” (MACD above signal line) or “bearish cross” (MACD below signal line) has occurred.
MACD teaches traders to identify trend momentum shifts and divergence. During practice, traders can explore how MACD signals align with VWAP trends or RSI levels, which helps in building a structured multi-indicator analysis.
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6. Stochastic Oscillator
This indicator compares the current close relative to a range of highs and lows over a period. Displayed values oscillate between 0 and 100, marking zones of overbought (>80) and oversold (<20).
Stochastics are useful for students of trading to recognize short-term momentum changes. Unlike RSI, it reacts faster to price volatility, so false signals are common. Part of the training exercise can be to observe how stochastic “flips” can align with volume surges or daily range endpoints.
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7. Trend & Momentum Classification
The dashboard adds simple labels for trend (uptrend, downtrend, neutral) based on RSI thresholds. Additionally, it provides quick momentum classification (“bullish hold”, “bearish hold”, or neutral).
This is beneficial for beginners as it introduces structured thinking: differentiating long-term market bias (trend) from short-term directional momentum. By combining both, traders can practice filtering signals instead of trading randomly.
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8. Accumulation / Distribution Bias
Based on RSI levels, the script generates simplified tags such as “Accumulate Long”, “Accumulate Short”, or “Wait”.
This is purely an interpretive guide, helping learners think in terms of accumulation phases (when markets are low) and distribution phases (when markets are high). It reinforces the concept that trading is not only directional but also involves timing.
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9. Overall Market Status and Score
Finally, the dashboard compiles multiple indicators (VWAP position, RSI, MACD, Stochastics, and price vs. median levels) into a Market Score expressed as a percentage. It also labels the market as Overbought, Oversold, or Normal.
This scoring system isn’t a recommendation but a learning framework. Students can analyze how combining different indicators improves decision-making. The key training focus here is confluence: not depending on one indicator but observing when several conditions align.
Extended Study Material with Formulas
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1. Daily Reference Levels (High, Low, Open, Median, Range)
• Day High (H): Maximum price of the session.
DayHigh=max(Hightoday)DayHigh=max(Hightoday)
• Day Low (L): Minimum price of the session.
DayLow=min(Lowtoday)DayLow=min(Lowtoday)
• Day Open (O): Opening price of the session.
DayOpen=OpentodayDayOpen=Opentoday
• Day Range:
Range=DayHigh−DayLowRange=DayHigh−DayLow
• Median: Mid-point between high and low.
Median=DayHigh+DayLow2Median=2DayHigh+DayLow
These act as intraday guideposts for seeing how far the price has stretched from its key reference levels.
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2. VWAP (Volume Weighted Average Price)
VWAP considers both price and volume for a weighted average:
VWAPt=∑i=1t(Pricei×Volumei)∑i=1tVolumeiVWAPt=∑i=1tVolumei∑i=1t(Pricei×Volumei)
Here, Price_i can be the average price (High + Low + Close) ÷ 3, also known as hlc3.
• Interpretation: Price above VWAP = bullish bias; Price below = bearish bias.
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3. Volume Buy/Sell Analysis
The dashboard splits total volume into buy volume and sell volume based on candle type.
• Buy Volume:
BuyVol=Volumeif Close > Open, else 0BuyVol=Volumeif Close > Open, else 0
• Sell Volume:
SellVol=Volumeif Close < Open, else 0SellVol=Volumeif Close < Open, else 0
• Buy Ratio (%):
VolumeRatio=BuyVolBuyVol+SellVol×100VolumeRatio=BuyVol+SellVolBuyVol×100
This helps traders gauge who is in control during a session—buyers or sellers.
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4. RSI (Relative Strength Index)
RSI measures strength of momentum by comparing gains vs. losses.
Step 1: Compute average gains (AG) and losses (AL).
AG=Average of Upward Closes over N periodsAG=Average of Upward Closes over N periodsAL=Average of Downward Closes over N periodsAL=Average of Downward Closes over N periods
Step 2: Calculate relative strength (RS).
RS=AGALRS=ALAG
Step 3: RSI formula.
RSI=100−1001+RSRSI=100−1+RS100
• Used to detect overbought (>70), oversold (<30), or neutral momentum zones.
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5. MACD (Moving Average Convergence Divergence)
• Fast EMA:
EMAfast=EMA(Close,length=fast)EMAfast=EMA(Close,length=fast)
• Slow EMA:
EMAslow=EMA(Close,length=slow)EMAslow=EMA(Close,length=slow)
• MACD Line:
MACD=EMAfast−EMAslowMACD=EMAfast−EMAslow
• Signal Line:
Signal=EMA(MACD,length=signal)Signal=EMA(MACD,length=signal)
• Histogram:
Histogram=MACD−SignalHistogram=MACD−Signal
Crossovers between MACD and Signal are used in studying bullish/bearish phases.
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6. Stochastic Oscillator
Stochastic compares the current close against a range of highs and lows.
%K=Close−LowestLowHighestHigh−LowestLow×100%K=HighestHigh−LowestLowClose−LowestLow×100
Where LowestLow and HighestHigh are the lowest and highest values over N periods.
The %D line is a smooth version of %K (using a moving average).
%D=SMA(%K,smooth)%D=SMA(%K,smooth)
• Values above 80 = overbought; below 20 = oversold.
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7. Trend and Momentum Classification
This dashboard generates simplified trend/momentum logic using RSI.
• Trend:
• RSI < 40 → Downtrend
• RSI > 60 → Uptrend
• In Between → Neutral
• Momentum Bias:
• RSI > 70 → Bullish Hold
• RSI < 30 → Bearish Hold
• Otherwise Neutral
This is not predictive, only a classification framework for educational use.
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8. Accumulation/Distribution Bias
Based on extreme RSI values:
• RSI < 25 → Accumulate Long Bias
• RSI > 80 → Accumulate Short Bias
• Else → Wait/No Action
This helps learners understand the idea of accumulation at lows (strength building) and distribution at highs (profit booking).
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9. Overall Market Status and Score
The tool adds up 5 bullish conditions:
1. Price above VWAP
2. RSI > 50
3. MACD > Signal
4. Stochastic > 50
5. Price above Daily Median
BullishScore=ConditionsMet5×100BullishScore=5ConditionsMet×100
Then it categorizes the market:
• RSI > 70 or Stoch > 80 → Overbought
• RSI < 30 or Stoch < 20 → Oversold
• Else → Normal
This encourages learners to think in terms of probabilistic conditions instead of single-indicator signals.
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⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
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⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
指標和策略
X D HL MitigationDesigned to track and project prior day high and low levels into the current trading session. It provides traders with reference points for potential support and resistance without being distorted by the unfinished intraday range of the active day.
Key Features
Prior-Day Anchoring
At the start of each new trading day, the indicator captures the previous day’s high and low.
Current-day developing highs and lows are ignored, ensuring only completed data drives level creation.
Dynamic Extensions
Each high and low level is extended forward intraday until price action mitigates (touches or crosses) the level.
When mitigated, the line is automatically “frozen” at the bar of contact and restyled to a new color.
This makes it easy to distinguish which historical levels remain active versus which have already been resolved by price.
End-of-Day Housekeeping
Optional setting allows all mitigated lines to be automatically removed at the end of each trading day, keeping charts uncluttered and focused only on active levels.
Trading Applications
Support & Resistance Mapping: Prior-day highs and lows are commonly watched areas where liquidity pools form and price often reacts.
Breakout & Reversal Signals: Monitoring if and when price mitigates these levels can help confirm breakouts or identify potential reversals.
Intraday Focus: By excluding developing highs and lows of the current session, the indicator emphasizes only proven, market-validated levels.
MTF RSI + ADX + ATR SL/TP vivekDescription:
This strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
Sinusoidal Cycles OscillatorTitle: Sinusoidal Cycles Oscillator – Multi-Cycle Market Indicator
Description:
Discover market rhythm with the Sinusoidal Cycles Oscillator, a powerful tool for technical analysis and cyclical trading.
Three customizable cycles track short, medium, and long-term market oscillations.
Cycle 1 serves as the main reference wave with an optional mirror envelope.
Cycles 2 & 3 provide supporting harmonics for deeper insight.
Composite wave averages all cycles to reveal overall market phase.
Features:
Fully adjustable periods and amplitude.
Visualize tops, bottoms, and turning points at a glance.
Oscillator ranges from -1 to +1 with clear threshold guides.
Ideal for traders using cycle analysis, harmonic trading, or market timing.
Easy-to-read visual overlay and separate panel option.
Use it to:
Identify potential price reversals.
Compare market cycles across multiple timeframes.
Enhance timing and entry/exit decisions.
LazyScalp (Multi-Exchanges)This indicator is based on the LazyScalp Board by Aleksandr400 and enhances it with multi-exchange functionality. It displays 24-hour trading volumes and BTC correlations across multiple exchanges, with optional features to sort by the current exchange and hide exchange names in the table
Daryl Guppy's Multiple Moving Averages - GMMAThe Guppy EMAs indicator (Daryl Guppy’s method) displays two groups of exponential moving averages (EMAs) on the chart:
Fast EMA group: 3, 5, 8, 10, 12, 15 periods (thinner, more responsive lines)
Slow EMA group: 30, 35, 40, 45, 50, 60 periods (thicker, smoother lines)
Color Logic:
Fast EMAs turn AQUA if all fast EMAs are in bullish alignment and slow EMAs are in bullish alignment.
Fast EMAs turn ORANGE if all fast EMAs are in bearish alignment and slow EMAs are in bearish alignment.
Otherwise, fast EMAs appear GRAY.
Slow EMAs turn LIME when in bullish order, RED when bearish, and remain GRAY otherwise.
The area between the outermost fast EMAs and slow EMAs is filled with a semi-transparent silver color for visual emphasis.
MTF RSI + ADX + ATR SL/TPThis strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
Gap Up HighlighterIdentifies stocks which meet the following conditions
1) Todays Open > 1.03* Previous day high
2) Todays Close > 1.03* Previous day high
Byquan Supertrend (byquan v5)Modify the Supertrend indicator as I want. Merge the two alerts, Buy and Sell, into one. Change the Buy-Sell signals into triangles to avoid interference with other indicators."
Near New High ScreenerA simple indicator intended to be used in a pinescript scanner to find stocks that are re reaching highs after a pullback or base formation. To use add it as a favourite indicator so it can be selected in a pinescript scanner.
In the settings you can select whether to use the highest high or highest close for the previous high (defaults to close) and whether to use the all time high or the high from the last X days (defaults to 252 days).
Once opened in a pine scanner apply to a watchlist and scan. Stocks with a positive % have broken out from a previous high today, those with a negative % are that % away from the previous high.
You can sort by the “Pct from Prev High%” column or use the scanner filter to filter for stocks between two values, for example between 0 and -5% to find stocks near a new high, or >0 to find stocks that have broken out today.
Volume & Turnover HUD DisplayThis indicator highlights the latest candle’s trading activity directly on your chart. It displays the current candle’s volume in a large, easy-to-read format at the bottom-left corner of the screen, ensuring quick visibility without cluttering the chart.
An optional feature (enabled by default) also calculates and shows the turnover, derived from Volume × VWAP, expressed in crores (₹). This helps traders instantly assess both participation and the monetary value being traded in real time.
Ideal for intraday and swing traders who want a clear, at-a-glance view of volume and turnover strength to make faster decisions.
byquan AlphaTrend + Supertrend GOP"Combine the two indicators AlphaTrend and SuperTrend; if they give the same signal, display it, otherwise discard it."
Comet C/2025 N1 (ATLAS) Ephemeris☄️ Ephemeris How-To: Plot JPL Horizons Data on TradingView (Educational)
Overview
This open-source Pine Script™ v6 indicator demonstrates how to bring external astronomical ephemeris into TradingView and plot it on a daily chart. Using Comet C/2025 N1 (ATLAS) as an example dataset, it shows the mechanics of structuring arrays, indexing by date, and drawing past and forward ( future projections ) values—strictly as an educational visualization of celestial motion.
Why This Approach
Data is generated from NASA JPL Horizons, a mission-grade, publicly available ephemeris service ( (ssd.jpl.nasa.gov)). On the daily timeframe, Horizons provides high-precision positions you can regenerate whenever solutions update—useful for educational accuracy in exploring orbital data.
What’s Plotted
- Geocentric ecliptic longitude (Earth-view)
- Heliocentric ecliptic longitude (Sun-centered)
- Declination (deg from celestial equator)
Features
- Simple arrays + date indexing (no per-row timestamps)
- Circles for historical/current bars; polylines to connect forward points, emphasizing future projections
- Toggle any series on/off via inputs
- Daily timeframe enforced (runtime error if not 1D)
- Optional table with zodiac conversion (AstroLib by BarefootJoey)
Data & Updates
The example arrays span 2025-07-01 (discovery date) → 2026-01-01. You can refresh them anytime from JPL Horizons (Observer: Geocentric; daily step; include ecliptic lon/lat and declination) and paste the new values into the script.
How we pulled the ephemeris from JPL Horizons (quick guide):
0) Open ssd.jpl.nasa.gov System
1. Ephemeris Type: Observer Table
2. Target Body: C/2025 N1 (ATLAS) (or any object you want)
3. Observer Location: Geocentric
4. Time Specification: set Start, Stop, Step = 1 day
5. Table Settings → Quantities:
* Astrometric RA & Dec
* Heliocentric ecliptic longitude & latitude
* Observer (geocentric) ecliptic longitude & latitude
6. Additional Table Settings:
* Calendar format: Gregorian
* Date/Time: calendar (UTC), Hours & Minutes (HH:MM)
* Angle format: Decimal degrees
* Refraction model: No refraction / airless
* Range units: Astronomical units (au)
7. Generate → Download results (CSV or text).
8. Use AI or a small script to parse columns (e.g., Obs ecliptic lon, Helio ecliptic lon, Declination) into arrays, then paste them into your Pine script.
Educational Note
This indicator’s goal is to show how to prepare and plot ephemeris—so you can adapt the method for other comets or celestial bodies, or swap in data from existing astro libraries, for learning about astronomical projections using JPL daily data.
Credits & License
- Ephemeris: Solar System Dynamics Group, Horizons On-Line Ephemeris System, 4800 Oak Grove Drive, Jet Propulsion Laboratory, Pasadena, CA 91109, USA.
- Zodiac conversion: AstroLib by BarefootJoey
- License: MIT
- For educational use only.
ATR by Session Library [1CG]Library "ATRxSession"
This library shows you how big the bars usually are during a trading session. It looks only at the times you choose (like New York or London hours), measures the “true range” of every bar in that session, then finds the average for that session. It keeps the last N sessions and gives you their overall average, so you can quickly see how much the market typically moves per bar during your chosen session.
Call getSessionAtr(timezone, session, sessionCount) from your script, and it will return a single number: the average per-bar volatility during the chosen session, based on the last N completed sessions. This makes it easy to plug session-specific volatility into your own indicators or strategies.
getSessionAtr(_timezone, _session, _sessionCount)
getSessionAtr - Computes a session-aware ATR over completed sessions.
Parameters:
_timezone (string) : (string) - Timezone string to evaluate session timing.
_session (string) : (string) - Session time range string (e.g., "0930-1600").
_sessionCount (int) : (int) - Number of past completed sessions to include in the rolling average.
Returns: (float) - The average ATR across the last N completed sessions, or na if not enough data.
Alpha Spread Indicator Panel - [AlphaGroup.Live]Alpha Spread Indicator Panel –
This sub-panel plots the OLS spread between two assets, normalized into percent .
• Green area = spread above zero (Buy Leg1 / Sell Leg2)
• Red area = spread below zero (Sell Leg1 / Buy Leg2)
• The white line shows the exact % deviation of the spread from its fitted baseline
• Optional ±1% and ±2% guides give clear statistical thresholds
Because it’s expressed in percent relative to midprice , the scale remains consistent even if absolute prices change over years.
⚠️ Important: This panel is designed to be used together with the overlay chart:
👉 Alpha Spread Indicator Chart –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Want more institutional-grade setups? Get our 100 Trading Strategies eBook free at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Alpha Spread Indicator Chart - [AlphaGroup.Live]Alpha Spread Indicator Chart –
This overlay plots the two legs of a pair trade directly on the price chart .
• Leg1 is shown in teal
• Leg2 (fitted) is shown in orange
• The green/red filled area shows the distance (spread) between the two
The spread is calculated using OLS regression fitting , which keeps Leg2 scaled to Leg1 so the overlay always sticks to the chart’s price axis. When the fill turns green , the model suggests Buy Leg1 / Sell Leg2; when it turns red , it suggests Sell Leg1 / Buy Leg2.
Optional Z-Score bands help visualize statistical stretch from the mean.
⚠️ Important: To use this tool properly, you also need to install the companion script:
👉 Alpha Spread Indicator Panel –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Ready to take your trading further? Download our free eBook with 100 trading strategies at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Circuit Limit Indicator (parsed input)Shows the circuit Limit if NSE Stocks
No Circuit Limit: FnO Stock
2%
5%
10%
20%
GoldenCrossLibrary "GoldenCross"
get_signals(short_len, long_len)
Parameters:
short_len (int)
long_len (int)
Shock Detector: Price Jerk with Std-Dev BandsDetect sudden shocks in market behaviour
This indicator measures the jerk of price – the third derivative of price with respect to time (rate of change of acceleration). It highlights sudden accelerations and decelerations in price movement that are often invisible with standard momentum or volatility indicators.
Per-bar or time-scaled derivatives (choose whether calculations are based on bars or actual seconds).
Features
Log-price option for more stable readings across different price levels.
Optional smoothing with EMA to reduce noise.
Line or column view for flexible visualization.
Standard deviation bands (±1σ and ±2σ), centered either on zero or the rolling mean.
Auto window selection (1 day to 4 weeks), adaptive to chart timeframe.
Color-coded jerk: green for positive, red for negative.
Optional filled bands for easy visual context of normal vs. extreme jerk moves.
How to Use
Use jerk to identify sudden shifts in market dynamics, where price movement is not just changing direction but changing its acceleration.
Bands help highlight when jerk values are statistically unusual compared to recent history.
Combine with trend or momentum indicators for potential early warning of breakouts, reversals, or exhaustion.
Why it’s useful
Most indicators measure price, velocity (returns), or acceleration (momentum). This goes one step further to look at jerk, giving you a tool to spot “shock” movements in the market. By framing jerk within standard deviation bands, it’s easy to see whether current moves are ordinary or exceptional.
Developed with the assistance of ChatGPT (OpenAI).
Key Session & LevelsThis indicator helps traders track key price levels for multiple timeframes and trading sessions. It plots:
Previous Day's High and Low (PD): Highlighting the high and low of the previous trading day.
Previous Week's High and Low (PW): Plotting the highest and lowest price levels for the past week.
Tokyo Session High and Low (Today): Displays the high and low levels for the Tokyo trading session (adjustable to your preferred time window).
London Session High and Low (Today): Tracks the high and low for the London trading session (also adjustable for your timezone and desired session window).
Features:
Customizable Time Zones: The indicator uses your preferred timezone to calculate session highs/lows.
Extendable Lines: Lines for each level extend to the right of the chart, providing continuous reference throughout the trading day.
Adjustable Settings: Fine-tune the visibility and width of the lines, and choose which levels to display (Previous Day, Previous Week, Tokyo, and London sessions).
Non-Repainting: This script uses historical data and only updates when new bars are confirmed, ensuring accurate and reliable signals.
Whether you're a day trader, swing trader, or just tracking key levels for strategic entries and exits, this tool provides quick visual reference to important price points across different trading sessions.
Key Session & LevelsThis indicator helps traders track key price levels for multiple timeframes and trading sessions. It plots:
Previous Day's High and Low (PD): Highlighting the high and low of the previous trading day.
Previous Week's High and Low (PW): Plotting the highest and lowest price levels for the past week.
Tokyo Session High and Low (Today): Displays the high and low levels for the Tokyo trading session (adjustable to your preferred time window).
London Session High and Low (Today): Tracks the high and low for the London trading session (also adjustable for your timezone and desired session window).
Features:
Customizable Time Zones: The indicator uses your preferred timezone to calculate session highs/lows.
Extendable Lines: Lines for each level extend to the right of the chart, providing continuous reference throughout the trading day.
Adjustable Settings: Fine-tune the visibility and width of the lines, and choose which levels to display (Previous Day, Previous Week, Tokyo, and London sessions).
Non-Repainting: This script uses historical data and only updates when new bars are confirmed, ensuring accurate and reliable signals.
Whether you're a day trader, swing trader, or just tracking key levels for strategic entries and exits, this tool provides quick visual reference to important price points across different trading sessions.
Regime Radar — Trend vs Volatile [AlphaGroup.Live]⚡ Regime Radar — Trend vs Volatile
Markets switch personalities. Some weeks they trend relentlessly. Other times they chop, fake out, and punish breakout traders.
This tool tells you — at a glance — whether an asset is in TREND , VOLATILE , or MIXED mode across multiple timeframes.
🔑 How it works
The engine scores every timeframe on two dimensions:
Trend Score (directional persistence):
• Efficiency Ratio (straight vs noisy moves)
• Normalized ADX (directional movement strength)
• Positive autocorrelation (persistence of returns)
Volatile Score (chop / mean reversion):
• 1 − Efficiency Ratio (lack of direction)
• Frequency of outside bars (indecision candles)
• Negative autocorrelation (flip-flop behavior)
Then it compares the difference:
• TREND if Trend − Volatile > thWeak
• VOLATILE if Trend − Volatile < −thWeak
• MIXED if the difference is inside
Strength comes from how far apart the scores are:
• Strong if |diff| ≥ thStrong
• Weak if thWeak ≤ |diff| < thStrong
• Neutral if |diff| < thWeak
🖼️ What you see
• Yellow candles mark outside bars (both high & low broken) → “non-decision” events.
• A dashboard table prints your chosen timeframes with verdicts like:
5m VOLATILE Strong
15m VOLATILE Weak
1h TREND Neutral
4h TREND Weak
D VOLATILE Neutral
W TREND Strong
M TREND Strong
• Optional Bias column shows the numeric difference (Trend − Volatile).
💡 Why use it
• Spot when trend-following systems (crossovers, inside bar breakouts) are favored.
• Spot when reversal systems (RSI2, MinMax, Bollinger plays) are favored.
• Check regime alignment across intraday, swing, and macro frames.
• Avoid trading a TREND system in a VOLATILE regime (and vice versa).
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