Smart Orderblocks / Supply and Demand (@JP7FX)
"Smart" Order Block Supply and Demand Indicator – a tool inspired by Smart Money Concepts and designed to complement your trading style.
It's not about perfection, but rather about enhancing your trading insights and catching things you might have missed.
Keep in mind that the structural representation here is subjective, just like many other indicators. It's more of a guide to help you navigate the market.
While it doesn't explicitly include Imbalance / FVG, you have the flexibility to use additional Imbalance /FVG indicators, including my own, to complement the insights drawn from Supply and Demand zones.
This indicator offers customisation options like trading ranges, allowing you to mark Killzones and tailor it to your preferences. Explore liquidity levels, 50% retracement lines, and personalize the colors and lines to match your unique chart setup.
Guide below on how the "Hidden" Zones are created!
Trade Safe :)
Cari dalam skrip untuk "smart"
Smart Money Oscillator [ChartPrime]The "Smart Money Oscillator " is a premium and discount zone oscillator with BOS and CHoCH built in for further analysis of price action. This indicator works by first determining the the premium and discount zones by using pivot points and high/lows. The top of this oscillator represents the current premium zone while the bottom half of this oscillator represents the discount zone. This oscillator functionally works like a stochastic oscillator with more sophisticated upper and lower bounds generated using smart money concept theories. We have included a moving average to allow the user to visualize the currant momentum in the oscillator. Another key feature we have included lagging divergences to help traders visualize potential reversal conditions.
Understanding the concepts of Premium and Discount zones, as well as Break of Structure (BoS) and Change of Character (CHoCH), is crucial for traders using the Smart Money Oscillator. These concepts are rooted in market structure analysis, which involves studying price levels and movements.
Premium Zone is where the price is considered to be relatively high or 'overbought'. In this zone, prices have risen significantly and may indicate that the asset is becoming overvalued, potentially leading to a reversal or slowdown in the upward trend.
The Discount Zone represents a 'discount' or 'oversold' area. Here, prices have fallen substantially, suggesting that the asset might be undervalued. This could be an indicator of a potential upward reversal or a pause in the downward trend.
Break of Structure (BoS) is about the continuation of a trend. In a bullish trend, a BoS is identified by the break of a recent higher high. In a bearish trend, it's the break of a recent Lower Low. BoS indicates that the trend is strong and likely to continue in its current direction. It's a sign of strength in the prevailing trend, whether up or down.
Change of Character (CHoCH) is an indication of a potential end to a trend. It occurs when there's a significant change in the market's behavior, contradicting the current trend. For example, in an uptrend characterized by higher highs and higher lows, a CHoCH may occur if a new high is formed but then is followed by an impulsive move downwards. This suggests that the bullish trend may be weakening and a bearish reversal could be imminent. CHoCH is essentially a sign of trend exhaustion and potential reversal.
With each consecutive BoS, the signal line of the oscillator will deepen in color. This allows you to visually see the strength of the current trend. The maximum strength of the trend is found by keeping track of the maximum number of consecutive BoS's within a window of 10. This calculation excludes periods without any BoS's to allow for a more stable max.
Quick Update is a feature that implements a more aggressive algorithm to update the highs and lows. Instead of updating the pivot points exclusively to update the range levels, it will attempt to use the current historical highs/lows to update the bounds. This results in a more responsive range at the cost of stability. There are pros and cons for both settings. With Quick Update disabled, the indicator will allow for strong reversals to register without the indicator maxing out. With Quick Update enabled, the indicator will show shorter term extremes with the risk of the signal being pinned to the extremities during strong trends or large movements. With Quick Update disabled, the oscillator prioritizes stability, using a more historical perspective to set its bounds. When Quick Update is enabled, the oscillator becomes more responsive, adjusting its bounds rapidly to reflect the latest market movements.
The Scale Offset feature allows the indicator to break the boundaries of the oscillator. This can be useful when the market is breaking highs or lows allowing the user to identify extremities in price. With Scale Offset disabled the oscillator will always remain inside of the boundaries because the extremities will be updated instantly. When this feature is enabled it will update the boundaries one step behind instead of updating it instantly. This allows the user to more easily see overbought and oversold conditions at the cost of incurring a single bar lag to the boundaries. Generally this is a good idea as this behavior makes the oscillator more sensitive to recent price spikes or drops, reflecting sudden market movements more accurately. It accentuates the extremities of the market conditions, potentially offering a more aggressive analysis. The main trade-off with the Scale Offset feature is between sensitivity and potential overreaction. It offers a more immediate and exaggerated reflection of market conditions but might also lead to misinterpretations in certain scenarios, especially in highly volatile markets.
Divergence is used to predict potential trend reversals. It occurs when the price of an asset and the reading of an oscillator move in opposite directions. This discrepancy can signal a weakening of the current trend and possibly indicate a potential reversal.
Divergence doesn't always lead to a trend reversal, but it's a warning sign that the current trend might be weakening. Divergence can sometimes give false signals, particularly in strongly trending markets where the oscillator may remain in overbought or oversold conditions for extended periods. The lagging nature of using pivot points to calculate divergences means that all divergences are limited by the pivot look forward input. The upside of using a longer look forward is that the divergences will be more accurate. The obvious con here is that it will be more delayed and might be useless by the time it appears. Its recommended to use the built in divergences as a way to learn how these are formed so you can make your own in real time.
By default, the oscillator uses a smoothing of 3 to allow for a more price like behavior while still being rather smooth compared to raw price data. Conversely, you can increase this value to make this indicator behave smoother. Something to keep in mind is that the amount of delay from real time is equal to half of the smoothing period.
We have included a verity of alerts in this indicator. Here is a list of all of the available alerts: Bullish BOS, Bearish BOS, Bullish CHoCH, Bearish CHoCH, Bullish Divergence, Hidden Bullish Divergence, Bearish Divergence, Hidden Bearish Divergence, Cross Over Average, Cross Under Average.
Below are all of the inputs and their tooltips to get you started:
Settings:
Smoothing: Specifies the degree of smoothing applied to the oscillator. Higher values result in smoother but potentially less responsive signals.
Average Length: Sets the length of the moving average applied to the oscillator, affecting its sensitivity and smoothness.
Pivot Length: Specifies the forward-looking length for pivot points, affecting how the oscillator anticipates future price movements. This directly impacts the delay in finding a pivot.
Max Length: Sets the maximum length to consider for calculating the highest values in the oscillator.
Min Length: Defines the minimum length for calculating the lowest values in the oscillator.
Quick Update: Activates a faster update mode for the oscillator's extremities, which may result in less stable range boundaries.
Scale Offset: When enabled, delays updating minimum and maximum values to enhance signal directionality, allowing the signal to occasionally exceed normal bounds.
Candle Color: Enables coloring of candles based on the current directional signal of the oscillator.
Labels:
Enable BOS/CHoCH Labels: Activates the display of BOS (Break of Structure) and CHoCH (Change of Character) labels on the chart.
Visual Padding: Turns on additional visual padding at the top and bottom of the chart to accommodate labels. Determines the amount of visual padding added to the chart for label display.
Divergence:
Divergence Pivot: Defines the number of bars to the right of the pivot in divergence calculations, influencing the oscillator's responsiveness.
Divergence Pivot Forward: Directly impacts latency. Longer periods results in more accurate results at the sacrifice of delay.
Upper Range: Sets the upper range limit for divergence calculations, influencing the oscillator's sensitivity to larger trends.
Lower Range: Determines the lower range limit for divergence calculations, affecting the oscillator's sensitivity to shorter trends.
Symbol: Allows selection of the label style for divergence indicators, with options for text or symbolic representation.
Regular Bullish: Activates the detection and marking of regular bullish divergences in the oscillator.
Hidden Bullish: Enables the identification and display of hidden bullish divergences.
Regular Bearish: Turns on the feature to detect and highlight regular bearish divergences.
Hidden Bearish: Activates the functionality for detecting and displaying hidden bearish divergences.
Color:
Bullish: Determines the minimum/maximum color gradient for bullish signals, impacting the chart's visual appearance.
Bearish: Defines the minimum/maximum color gradient for bearish signals, affecting their visual representation.
Average: Specifies the color for the average line of the oscillator, enhancing chart readability.
CHoCH: Sets the color for bullish/bearish CHoCH (Change of Character) signals.
Premium/Discount: Determines the color for the premium/discount zone in the oscillator's visual representation.
Text Color: Sets the color for the text in BoS/CHoCH labels.
Regular Bullish: Defines the color used to represent regular bullish divergences.
Hidden Bullish: Specifies the color for hidden bullish divergences.
Regular Bearish: Determines the color for hidden bearish divergences.
Divergence Text Color: Specifies the color for the text in divergence labels.
Smart MAThe Smart MA indicator is a tool designed for traders seeking insights into market trends, with its foundation rooted in moving averages. It offers two distinctive color options, with "Crossing" as the default choice and "Direction" as an alternative. Let's delve deeper into these options:
1. "Crossing" Color Option (Default):
Key Features:
Utilizes the interaction between fast and slow moving averages.
The color of the base moving average (MA) line dynamically changes based on crossovers between these moving averages.
Offers real-time visual signals for potential shifts in market sentiment.
Interpretation:
With the "Crossing" color option as the default setting, the base MA line's color responds to the interaction of the fast and slow moving averages.
A crossover where the fast MA crosses above the slow MA may prompt the base MA line to change to a bullish color (e.g., teal), indicating a potential bullish trend.
Conversely, if the fast MA crosses below the slow MA, the base MA line's color may alter to represent a bearish sentiment (e.g., red). This color shift provides a visual marker for a potential bearish trend, potentially guiding traders towards shorting opportunities.
2. "Direction" Color Option:
Key Features:
Focuses on the directional trend of the base moving average (MA).
The color of the base MA line signifies the direction in which the base MA is moving.
Aids in quickly identifying the prevailing market trend.
Interpretation:
Uptrend - Bullish Direction: When the base MA slopes upward, indicating an average price increase over the chosen base MA length, the base MA line's color may shift to a bullish hue (e.g., teal). This visual cue signals a potential uptrend, suggesting favorable long positions.
Downtrend - Bearish Direction: If the base MA slopes downward, signifying an average price decrease over the selected base MA length, the base MA line could change to a bearish shade (e.g., red). This color shift acts as an indicator of a potential downtrend, implying possible opportunities for shorting.
Customization:
Both color options allow traders to adjust the indicator's parameters, including base MA length, MA type, fast MA length, and slow MA length, to align with their trading strategies and preferred timeframes.
In summary, the Smart MA indicator, based on moving averages, provides traders with two color options: the default "Crossing" and "Direction" as an alternative. The "Crossing" option leverages fast and slow moving averages to offer real-time visual cues for dynamic market shifts. The "Direction" option simplifies trend analysis by focusing on the directional trend of the base MA. The choice between these options depends on your trading style and the depth of analysis you require. With the Smart MA indicator, you're equipped to make informed trading decisions in today's financial markets.
Smart Money Essentials [TFO]This indicator utilizes “Smart Money Concepts” like liquidity, order blocks, premium & discount, and more to analyze price action.
What’s included in the initial release:
Market Structure
Liquidity
Displacement
Order Blocks
Premium / Discount
Confluence Table
Alerts
Market structure logic objectively identifies whether the current trend is bullish or bearish, based on swing highs and lows. Liquidity levels offer insight into major pivots where we can assume many traders may place their stop loss, which can also serve as areas where “Smart Money” may be accumulating or distributing positions.
Displacement adds to this by spotting rapid price movement, often accompanied by imbalances where price may come back to before continuing in the direction of the displacement. These can be filtered based on whether the imbalance is accompanied by a Break of Structure (BOS) or Market Structure Shift (MSS), which may give additional insight into the draw on liquidity.
Order blocks (OB’s) are detected and treated as areas that may offer support for price in an uptrend or resistance in a downtrend. Premium and discount zones are essentially fitted by an “auto-fib” retracement that looks at recent liquidity levels, and optionally offers areas to look for an Optimal Trade Entry (OTE) where price retraces between 62-79% of the preceding displacement leg.
The confluence table provides an organized place to visualize and identify where any of the above concepts may be present at or around the same time. We can implement a threshold where, if the number of selected factors meets or exceeds this threshold, we can potentially identify bullish and bearish opportunities where multiple layers of confluence are overlapping.
And of course, alerts are built in for all significant events related to the above concepts, for example: runs on liquidity, BOS and MSS, rejections from OB and OTE, etc.
Smart Disparity IndexThe Smart Disparity Index (SDI) is an optimized version of the Disparity Index indicator invented by Steve Nison (book "Beyond Candlesticks").
According to Steve Nison, "The disparity index (or disparity ratio), compares, as a percentage, the latest close to a chosen moving average", which means that the indicator gives the difference in % between the closing price and a simple moving average.
The calculation formula is therefore as follows:
Disparity Index = 100 x (closing_price - simple_moving_average) / simple_moving_average
In order to optimize the calculation, I replaced the closing price with the 6-period exponential moving average (EMA6) which, according to many years of experience, allows prices to be smoothed by eliminating excesses.
Formula for calculating the Smart Disparity Index:
SDI = 100 x (EMA6 - simple_moving_average) / simple_moving_average
The provided script displays the SDI for the 20, 50, 100 and 200 periods.
From my point of view, I recommend using the SDI50 as a priority:
SDI50 = 100 x (EMA6 - SMA50) / SMA50
In the chart, we can see the SDI50 (in purple) is on a long-term support (in green), this indicates a probability of a Bitcoin rise in the coming months.
The SDI can also be used as a momentum type indicator.
Smart SizingSmart Sizing is a simple indicator designed for stock traders to quickly see how many shares you should ideally trade to have an equal amount of risk on all of your trades. It uses your inputted values along with the ATR to determine the right amount of shares you should trade. Since every stock has a different level of volatility just simply buying 100 shares for every trade for example or an equal $ amount like $10,000 will leave your portfolio with concentrated risk in some stocks. If the more volatile stocks turn out to be losers then the wins from the less volatile stocks may not cover the losses, however if your positions were sized according to the volatility of each stock it may have resulted in being profitable overall instead.
That's what the Smart Sizing indicator does, it tells you directly on the chart in a small table and right next to the indicator a value that is how many shares to trade according to your account value and risk objectives. You simply enter in your account value in the indicator settings (I update mine everyday), what % of your account you want to risk, and what ATR Length and Timeframe you wish to use. For example, if you entered your account value at $10,000 with risk percentage at 1% and if you used the daily ATR which was 0.50 then it would show as 200 shares (10,000 x 0.01) / 0.50 = 200 and by trading 200 shares that means if the stock went against you by 1 daily ATR it would equal 1% of your account. So if you used a ATR trailing stop or a fixed stop based on the ATR this indicator can help you determine what your correct position size should be so you can practice good risk management.
Take the example below of two stocks with an almost identical price, Citigroup $C with a last traded price of $50.03 and Exelon $EXC with a last traded price of $50.02, you can see the Smart Sizing indicator is showing to trade 59 shares on Citigroup and 130 shares on Exelon, even though both stocks have almost the same stock price the different recommended position size is because Citigroup is much more volatile than Exelon which is a electric utility.
Please note this indicator is designed for stocks but could also be used for forex but shouldn't be used for futures. It can be used on any timeframe with stocks worldwide.
Jared.
Disclaimer: All my scripts and content are for educational purposes only. I'm not a financial advisor and do not give personal finance advice. Past performance is no guarantee of future performance. Please trade at your own risk.
Smart Patterns Lite - Engulf EditionHi Traders! Welcome to Smart Patterns Lite - Engulf Edition
This lite version of Smart Patterns script specifically focuses on different Engulfing Pattern approaches, and tracks their performance and success rate over time.
Key Features
This edition includes TradingView's Engulfing Pattern as well as two custom ones: Engulf (Trend) and Engulfing (Advanced)
When a Pattern reaches the Min. Target % within the Candles Range selected, it is then considered valid. Please remember that doesn't take into account possible draw-downs or stop-losses.
Patterns are constantly evaluated inside the script; when a pattern's overall score (Success Rate %) is below the required minimum, the signal won't be triggered. However, the script will keep monitoring it in the background, and trigger a signal again when its score comes back above the minimum Success Rate.
The Patterns' signals can be filtered by Success Rate, Minimum Patterns detected and candle size (calculated via ATR).
The Data Panel will show individual statistics for Enabled Patterns as well as final statistics for Triggered Patterns.
Tooltips in the settings panel will further explain available options.
Alerts: simple alerts can be added by selecting "any alert() function call" when adding an Alert. Customizable alerts can also be created through dropdown menu ( Bullish \ Bearish Patterns Detected).
Notes and Recommendations
Always be realistic when tweaking settings, making sure the output makes sense in a normal trading environment. Statistics are helpful but shouldn't be the only factor to base your decisions on - even if a pattern reaches 100% Success Rate, it doesn't mean it will keep being profitable.
Since the script crunches quite some data it may give output errors especially if settings are not properly tweaked - or if the filters are too liberal (e.g. Min Target % set to 0.1) - hence triggering lots of signals. Please adjust the settings or enable only the Patterns you are trading.
If the script gives the error "Too many drawings, cannot clean oldest" it means your settings give too many signals and that is usually not a good sign - it's recommended to double-check your settings as mentioned above.
Credits
Trading View for built-in patterns
Special thanks go to PineCoders community for their incredible efforts and learning material to help mastering PineScript!
Smart Relative Strength Can Remove False SignalsRelative strength is one of the most useful indicators in the market, highlighting when stocks and sectors are outperforming or underperforming a broader index.
Traditional RS compares the percentage change of one symbol over a given time frame and subtracts the percentage change of the S&P 500 over the same period.
This is handy, but it can produce false signals at times of volatility. For example, when the broader market is crashing, certain sectors may “outperform” simply by falling less than the S&P 500.
Smart Relative Strength addresses this shortcoming by requiring that the symbol’s absolute AND relative returns both be positive. Otherwise a zero is returned.
This was useful last week on the Dow Jones Transportation Average . Using simple relative strength, it had its best one-week performance against the S&P 500 since October 2008. This was obviously a false signal because October 2008 was a time that everything else was crashing.
Smart Relative Strength showed that, excluding periods of overall decline, DJT had its best week since January 2008.
Note: This chart uses a 1-period interval, while the code defaults to 21 periods.
Smart Money Time (SMT)SMT Divergence – 90m / 30m / 10m (Prev-Cycle, Real-Time, Trailing)
Purpose:
This indicator finds SMT (Smart Money Technique) divergences between two related markets (e.g., CME_MINI:NQ1! vs CME_MINI:ES1! ). It does this per 90m/30m/10m cycles and only compares the current cycle to the immediately previous cycle —never older. It supports three cycle granularities:
90-minute cycles (9 blocks from 02:30–16:00 NY time)
30-minute sub-cycles (27 blocks)
10-minute sub-cycles (81 blocks; exactly 3 per 30-minute cycle)
For each cycle, the script tracks each symbol’s extreme (highest high for potential bearish SMT, lowest low for potential bullish SMT). When the leader sets a new extreme vs its own previous cycle while the lagger fails to do so vs its previous cycle, an SMT divergence is formed and plotted on the chart in real time. Lines trail as price makes new extremes within the same cycle.
What you’ll see on the chart:
A line from the previous cycle’s extreme to the current cycle’s extreme on the symbol pane where the indicator is applied (Primary A).
An optional text label at the current extreme (e.g., “90m SMT”, “30m SMT”, “10m SMT”).
Lines update (“trail”) as the current cycle goes on. When a new cycle begins, tracking resets for that cycle.
Default styling (editable):
90m SMT: solid, width 1, black
30m SMT: solid, width 1, black
10m SMT: dotted, width 1, black
You can toggle the text on/off and change width, style, and colors separately for 90m, 30m, and 10m.
Signals (definitions)
Bearish SMT: One market makes a Higher High vs its own previous cycle, while the other fails to make a Higher High vs its previous cycle.
Bullish SMT: One market makes a Lower Low vs its own previous cycle, while the other fails to make a Lower Low vs its previous cycle.
The line is drawn on Primary A by default.
Settings (explained)
Symbols
Primary Symbol A – the chart’s “leader/lagger” pane the script draws on.
Comparison Symbol B – the second market used for SMT checks.
Detection toggles
Detect SMT: 90m / 30m / 10m – turn on/off detection for each timeframe.
Note: The script always compares current cycle ↔ previous cycle only.
Validate candle direction
When enabled, the bar that makes the new extreme must also close in the confirming direction on that same market:
Bearish SMT: the bar that made the new Higher High must be a down close (close < open).
Bullish SMT: the bar that made the new Lower Low must be an up close (close > open).
This filter removes many “wick-only” probes and reduces false positives.
Turn off if you prefer to register SMTs on any intrabar extreme, regardless of bar close.
Delete SMT when invalidated
After an SMT forms, if the lagger later breaks the previous extreme it initially failed to break, the divergence is considered invalid and the script deletes the line and its label. (An “SMT invalidated” alert can fire if alerts are enabled.)
Enable alerts
Fires on SMT formed (separate messages for 90m/30m/10m and bullish/bearish) and on SMT invalidated.
To use, click Create Alert on the indicator and choose “Any alert() function call”. Use “Once per bar” (or per bar close) to taste.
Appearance – per timeframe (90m / 30m / 10m)
Bullish/Bearish colors, Line width, Line style, Show text (toggle subtitle label).
Text Options
Text color, Text size, Text offset (vertical spacing from the extreme).
How to use
Add to chart and select two related markets, e.g., NQ (A) vs ES (B).
Choose which cycles to monitor (90m / 30m / 10m).
Optionally enable Validate candle direction to demand a confirming close on the bar that made the extreme.
Watch for plotted SMTs:
Bearish SMT (HH vs no HH) often signals potential weakness
Bullish SMT (LL vs no LL) often signals potential strength
Use SMTs as context/confluence—e.g., near session highs/lows, liquidity pools, PD arrays, or your own levels. Combine with structure, order flow, and risk rules.
Turn on alerts to be notified when SMTs form or are invalidated in real time.
Notes & behavior
New-York session timing: Cycles are fixed windows in America/New_York and automatically handle DST.
Real-time & trailing: Lines trail to the most recent extreme within the same cycle but there’s no look-ahead across cycles.
No repaint across cycles: Each signal is strictly current cycle vs previous cycle.
Cleanup: On invalidation the script deletes the label first, then the line, preventing orphan labels.
Tips
10m SMTs are more frequent/noisier; 90m are fewer but more meaningful. Many traders look for multi-frame agreement (e.g., a 30m SMT aligning with a fresh 10m SMT).
If you want fewer signals, keep Validate candle direction on; if you want maximum sensitivity, turn it off.
Disclaimer: Educational use only. Markets are risky; do your own research and manage risk responsibly.
Smart Bar Coloring: Tight Closes & Volume BreakoutsAdvanced Bar Coloring Indicator for Price Action and Volume Analysis
This sophisticated indicator automatically colors price bars based on two key market conditions: tight closing ranges and significant volume activity, helping traders quickly identify consolidation periods and potential breakout setups.
Key Features:
Tight Close Detection:
ATR-Based Analysis: Uses 14-period ATR to define "tight" price movement
Dual-Bar Confirmation: Requires both current and previous bar to have closing ranges ≤ 20% of ATR
Consolidation Identification: Highlights periods of reduced volatility that often precede significant moves
Customizable Color: Default amber/orange highlighting for easy visual identification
Volume Breakout Detection:
Multi-Criteria Volume Analysis: Triggers when volume exceeds any of three thresholds:
150% of 20-period volume SMA
150% of recent 3-bar average volume
150% of 50-period volume SMA
Price Action Filter: Requires bullish price action (close > previous close OR close in upper 75% of range)
Smart Volume Handling: Automatically detects and works only with instruments that have volume data
Customizable Color: Default teal highlighting for volume-driven moves
Technical Analysis Applications:
Consolidation Patterns: Identify tight trading ranges before potential breakouts
Volume Confirmation: Spot high-volume moves with supportive price action
Entry Timing: Use tight closes to identify potential accumulation zones
Breakout Validation: Volume-colored bars confirm legitimate breakout attempts
Risk Management: Tight closes often indicate lower immediate volatility
How to Use:
Amber/Orange Bars: Indicate tight closing ranges - potential accumulation or consolidation
Teal Bars: Show significant volume with bullish price action - potential breakout confirmation
Normal Bars: Standard market conditions without special highlighting
Pattern Recognition: Look for clusters of tight closes followed by volume breakouts
Technical Requirements:
Works on any timeframe
Automatically adapts to instruments with or without volume data
Compatible with all chart types and drawing tools
Smart Moving Concepts [GILDEX]This all-in-one indicator displays real-time market structure (internal & swing BOS / CHoCH), order blocks, premium & discount zones, equal highs & lows, and much more...allowing traders to automatically mark up their charts with widely used price action methodologies. Following the release of our Fair Value Gap script, we received numerous requests from our community to release more features in the same category.
"Smart Money Concepts" (SMC) is a fairly new yet widely used term amongst price action traders looking to more accurately navigate liquidity & find more optimal points of interest in the market. Trying to determine where institutional market participants have orders placed (buy or sell side liquidity) can be a very reasonable approach to finding more practical entries & exits based on price action.
The indicator includes alerts for the presence of swing structures and many other relevant conditions.
Features
This indicator includes many features relevant to SMC, these are highlighted below:
Full internal & swing market structure labeling in real-time
Break of Structure (BOS)
Change of Character (CHoCH)
Order Blocks (bullish & bearish)
Equal Highs & Lows
Fair Value Gap Detection
Previous Highs & Lows
Premium & Discount Zones as a range
Options to style the indicator to more easily display these concepts
Settings
Mode: Allows the user to select Historical (default) or Present, which displays only recent data on the chart.
Style: Allows the user to select different styling for the entire indicator between Colored (default) and Monochrome.
Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart.
Internal Structure: Displays the internal structure labels & dashed lines to represent them. (BOS & CHoCH).
Confluence Filter: Filter non-significant internal structure breakouts.
Swing Structure: Displays the swing structure labels & solid lines on the chart (larger BOS & CHoCH labels).
Swing Points: Displays swing points labels on chart such as HH, HL, LH, LL.
Internal Order Blocks: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart.
Swing Order Blocks: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart.
Equal Highs & Lows: Displays EQH/EQL labels on chart for detecting equal highs & lows.
Bars Confirmation: Allows the user to select how many bars are needed to confirm an EQH/EQL symbol on chart.
Fair Value Gaps: Displays boxes to highlight imbalance areas on the chart.
Auto Threshold: Filter out non-significant fair value gaps.
Timeframe: Allows the user to select the timeframe for the Fair Value Gap detection.
Extend FVG: Allows the user to choose how many bars to extend the Fair Value Gap boxes on the chart.
Highs & Lows MTF: Allows the user to display previous highs & lows from daily, weekly, & monthly timeframes as significant levels.
Premium/Discount Zones: Allows the user to display Premium, Discount, and Equilibrium zones on the chart
Smart Wick AnalyzerSmart Wick Analyzer (SWA)
Purpose: Highlight potential liquidity‑grab candles (long wicks) and turn them into actionable, rule‑based buy/sell signals with trend, volume, and cooldown filters.
Type: Indicator (not a strategy). Educational tool to contextualize wick events.
🧠 What This Script Does
SWA looks for candles where the wick is large relative to its body—a common signature of liquidity sweeps / rejection. It then adds three confirmations before marking a trade signal:
1. Wick Event
• Upper‑wick event (possible rejection from above)
• Lower‑wick event (possible rejection from below)
• Condition: wick length > body × Wick‑to‑Body Ratio
2. Context Filters
• Trend filter : closing price vs. SMA of lookbackBars
• Volume filter : current volume vs. average volume × volumeThreshold
3. Signal Hygiene
• Cooldown : prevents clustering; a minimum number of bars must pass before a new signal is allowed.
If a candle passes these checks:
• Buy Signal (triangle up): long lower wick + price above SMA + relative‑high volume + cooldown passed
• Sell Signal (triangle down): long upper wick + price below SMA + relative‑high volume + cooldown passed
The signal candle is also bar‑colored black for quick visual focus.
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✳️ What the Dotted Lines Mean (including the green one)
On every signal bar the script draws two dotted horizontal levels, extended to the right:
• Open line of the signal candle
• Close line of the signal candle
• They use the signal color: green for Buy, red for Sell.
How to interpret (example: green = Buy signal):
• The green dotted close line represents the momentum validation level. If subsequent candles close above this line, it indicates follow‑through after the wick rejection (buyers defended into the close).
• The green dotted open line is a risk context / invalidation reference. If price falls back below it soon after the signal, the wick event may have failed or devolved into chop.
In your annotated chart: the candle initially looked constructive (“closing above could be positive momentum”), but later price failed and rotated down—hence a sell signal interpreted when an upper‑wick event occurred under down‑trend conditions.
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⚙️ Inputs & What They Control
• Wick‑to‑Body Ratio (wickThreshold): how “extreme” a wick must be to count as a liquidity‑grab.
• Lookback Period (lookbackBars):
• SMA period for trend context
• Volume MA for relative‑volume check
• Volume Multiplier (volumeThreshold): strengthens/loosens volume confirmation.
• Cooldown Bars (cooldownBars): minimum spacing between consecutive signals.
• Enable Alerts (showAlerts): turns on alert conditions.
⸻
🔔 Alerts (exact titles)
• “SWA Buy Alert” — potential reversal / Buy signal detected
• “SWA Sell Alert” — potential reversal / Sell signal detected
⸻
📌 How to Use (practical guide)
1. Scan for the black‑colored signal candle and its dotted lines.
2. For Buy signals (green): Prefer continuation if price closes above the green close line within the next few bars. Manage risk using the open line or your own level.
3. For Sell signals (red): Prefer continuation if price closes below the red close line.
4. Avoid chasing during low‑volume / counter‑trend signals; the filters help, but structure (HTF trend, S/R, session context) still matters.
5. Use the cooldown to reduce noise on fast time frames.
⸻
✅ Why This Isn’t Just “Another Wick Indicator”
• The script does not flag every long‑wick; it requires trend alignment and relative volume to suggest participation.
• The two reference lines (open/close) provide post‑signal state tracking—a simple, visual framework to judge follow‑through vs. failure without additional tools.
• Cooldown logic discourages clustered, low‑quality repeats around the same zone.
⸻
⚠️ Notes & Limitations
• Works across markets/time frames, but wick behavior varies by instrument and session. Parameters may need adjustment.
• Signals are contextual, not guarantees. Consolidation and news spikes can invalidate wick reads.
• This indicator is not a strategy; it does not backtest performance on its own.
⸻
📄 Disclaimer
This tool is for educational purposes only and should be combined with personal analysis and risk management. Markets are uncertain; past behavior does not guarantee future results.
Smart Money Concepts + Liquidity Voids [LuxAlgo]Liqudiy levels, smart mone concepts, and liquidity voids
Smart Zone Detector by Mihkel00Advanced support/resistance indicator with dynamic zones and volume confirmation.
Smart Zone Detector automatically identifies key support and resistance zones using pivot points with following features:
Dynamic ATR-based zones that adapt to market volatility
Volume confirmation to filter out weak levels
Touch counting with strength classification (3x, 8x, 13x+ touches)
What You Get
Active Zones: Current qualified S/R levels (3+ touches)
Strong Zones: High-confidence areas with multiple confirmations
Color-coded zone strength (Green=Strong, Orange=Medium, Red=Weak)
Touch count labels showing zone significance
How to Use
Zone Identification: Look for zones with 3+ touches - these are qualified levels
Strength Assessment: Higher touch counts (8x, 13x+) = stronger zones
Volume Confirmation: volume-backed zones (more reliable)
Zone Interactions: Green/red X-crosses show real-time support/resistance tests
Dynamic Sizing: Zones automatically adjust width based on ATR
Settings
Lookback: How far back to scan for pivots (default: 100 bars)
Min Touches: Qualification threshold (default: 3 touches)
Volume Confirmation: Enable for higher-quality zones
Zone Tolerance: Sensitivity for merging nearby levels
Smart Signal System نظام إشارات احترافي يعتمد على تحليل الاتجاهات المتعددة باستخدام مؤشرات قوية تشمل:
✅ VWAP اليدوي (آخر 30 شمعة)
✅ Kijun Sen (تحليل إيشيموكو)
✅ مؤشر القوة النسبية RSI
✅ بولينجر باند سريع وبطيء بتحكم مرن
✅ تحليل 7 فريمات: 5د / 15د / 1س / 2س / 4س / يومي / أسبوعي
✅ جدول ملخص تفاعلي يظهر الإشارات بالتفصيل لكل فريم
✅ إشارة نهائية (شراء / بيع / مراقبة) بناءً على تجميع المؤشرات
✅ تلوين الشموع حسب الإشارة: برتقالي للشراء، أبيض للبيع
🛠️ يمكن تفعيل أو تعطيل أي من المؤشرات بسهولة من الإعدادات.
🎯 مصمم خصيصًا للمتداولين النشطين في السوق اللحظي والمتوسط والطويل.
This is a private multiframe signal system designed for active traders. It provides smart buy/sell/watch signals based on the convergence of major indicators across 7 key timeframes:
✅ VWAP (custom 30-bar calculation)
✅ Kijun Sen (Ichimoku Component)
✅ RSI with adjustable thresholds
✅ Dual Bollinger Bands (Fast & Slow) for volatility filtering
✅ Multi-timeframe analysis: 5m, 15m, 1H, 2H, 4H, Daily, Weekly
✅ Interactive visual dashboard with signal strength, indicator values, and reasons
✅ Final decision signal: Buy / Sell / Watch
✅ Customizable: You can enable/disable each indicator via script settings
✅ Dynamic candle coloring: Orange for Buy, White for Sell, Neutral for Watch
🎯 Built for scalpers, swing traders, and intraday strategies.
🔐 Code is protected. Access is restricted to approved users only.
Smart support and Resistancehelps you find out where smart money has done bulk buying/selling.
the levels can give you confidence on your existing views and find high reward low risk setups.
Smart Money Footprint & MM Pattern Detector📊 Smart Money Footprint & MM Pattern Detector by @darshakssc is a technical analysis tool designed to help traders visually identify potential high-volume activity, key swing points, and possible Market Maker (MM) patterns on their charts.
This script is not a buy/sell signal generator. Instead, it offers a visual framework to better understand market behavior, so traders can make their own well-informed decisions.
🔍 Key Features
✔️ Volume Analysis — Detects high-volume conditions relative to a moving average threshold.
✔️ Swing Point Detection — Highlights potential swing highs and swing lows for structure analysis.
✔️ Market Maker Pattern Detection — Identifies possible bullish or bearish MM footprints based on price action and volume behavior.
✔️ Customizable Dashboard — Clean, visual dashboard showing volume status, swing state, and pattern status at a glance.
✔️ Dark & Light Mode — Easily switch between a dark or light theme for better chart visibility.
✔️ Alerts — Optional alerts when swing points or MM patterns are detected.
🎯 How to Use
✔️ Add the indicator to your chart.
✔️ Adjust the Volume MA and Threshold to match your preferred market and timeframe.
✔️ Use the dashboard as a quick-reference visual guide.
✔️ Combine with your own strategy, risk management, and other forms of analysis.
⚠️ Disclaimer
This tool is provided for educational and informational purposes only. It does not constitute financial advice or a trading recommendation. Trading involves risk, and past performance does not guarantee future results. Always perform your own due diligence and use appropriate risk management.
Smart MTF Bias Detector v3 (Debug)Here's a breakdown of the "Smart MTF Bias Detector v3 (Debug)" indicator's five main filters:
Main Trend (Multi-Timeframe Heikin Ashi)
The green/red background indicates the trend from Heikin Ashi candles on the H1 timeframe (or your set timeframe).
If the Heikin Ashi candle closes above its open, the background is green (indicating an upward bias).
If the Heikin Ashi candle closes below its open, the background is red (indicating a downward bias).
Short-Term Trend Filter (EMA50)
The yellow line represents the EMA50.
Buy only when the price closes above the EMA50.
Sell only when the price closes below the EMA50.
Abnormal Buy/Sell Pressure Detection (Volume Spike)
Purple dots signify candles where the volume is greater than the SMA (Simple Moving Average) of volume over N previous candles, multiplied by a specified multiplier.
This confirms there's "force" driving the price up or serious selling pressure.
Momentum Filter (Stochastic RSI)
Blue upward triangles and orange downward triangles indicate when %K crosses %D.
It uses Oversold/Overbought targets (20/80) to avoid crosses in the middle ranges.
Pivot Break (Fractal Breakout)
Red "X" marks represent Fractal Highs, and green "X" marks represent Fractal Lows.
Red/green up/down arrows indicate breakouts of these levels (e.g., a previous High being broken means an upward breakout, or a previous Low being broken means a downward breakout).
BUY Signal Conditions
A BUY signal will be generated when:
The background is green (HTF Trend ↑).
The Stoch RSI crosses up from below the Oversold zone (blue arrow).
A Fractal Low breakout occurs (Fract UP arrow).
The price is above the EMA50.
There is a Volume Spike (purple dot).
SELL Signal Conditions
A SELL signal will be generated when:
The background is red (HTF Trend ↓).
The Stoch RSI crosses down from above the Overbought zone (orange arrow).
A Fractal High breakout occurs (Fract DOWN arrow).
The price is below the EMA50.
There is a Volume Spike (purple dot).
Smart Range Zones [Dr. Hafiz]Smart Range Zones
Description:
This indicator highlights key market zones — High Range, Mid Range, and Low Range — to help traders visually understand dynamic support and resistance levels.
✅ High Range: Potential supply/resistance area
✅ Mid Range: Fair value or equilibrium zone
✅ Low Range: Potential demand/support area
The zones are calculated based on the highest and lowest price over a user-defined period (default: 130 bars) and dynamically projected forward.
🔸 EMA 15 Line is included as an optional trend filter — helping confirm direction or trend alignment.
🔧 Features:
Auto-calculated High/Mid/Low zones
Real-time dynamic projections
Right-aligned zone labels inside each box
Clean visual structure
Toggle for showing/hiding EMA 15
📌 Best suited for:
Intraday & swing traders
Range breakouts and rejections
Trend confirmation with EMA
Created and published by Dr. Hafiz, modified under the MPL 2.0 license.
Smart Adaptive MACDAn advanced MACD variant that dynamically adapts to market volatility using ATR-based scaling.
Key Features:
Volatility-sensitive MACD and Signal lengths
Optional smoothed MACD line
Dynamic histogram heatmap (strong vs. weak momentum)
Built-in Regular and Hidden Divergence detection
Clear visual signals via solid (regular) and dashed (hidden) divergence lines
What makes this different:
Unlike traditional MACD indicators with fixed-length settings, this version adapts in real time
to changing volatility conditions. It shortens during high-momentum environments for faster
reaction, and lengthens during low-volatility phases to reduce noise. This allows better
alignment with market behavior and cleaner momentum signals.
Divergence Detection – How It Works
The Smart Adaptive MACD detects both regular and hidden divergences by comparing price action with the smoothed MACD line. It uses recent pivot highs and lows to evaluate divergence and draws lines on the chart when conditions are met.
Regular Divergence Detection
This type of divergence signals potential reversals. It occurs when the price moves in one
direction while the MACD moves in the opposite.
Bullish Regular Divergence:
Price makes lower lows, but MACD makes higher lows.
Result: A solid green line is plotted beneath the MACD curve.
Bearish Regular Divergence:
Price makes higher highs, but MACD makes lower highs.
Result: A solid red line is plotted above the MACD curve.
Hidden Divergence Detection
This type of divergence signals trend continuation. It occurs when price pulls back slightly,
but the MACD shows deeper movement in the opposite direction.
Bullish Hidden Divergence:
Price makes higher lows, but MACD makes lower lows.
Result: A dashed green line is plotted below the MACD curve.
Bearish Hidden Divergence:
Price makes lower highs, but MACD makes higher highs.
Result: A dashed red line is plotted above the MACD curve.
How to Use:
This tool is best used alongside price structure, key support/resistance levels, or as a
secondary confirmation for your trend or reversal strategy. It is designed to enhance your
interpretation of market momentum and divergence without needing extra chart clutter.
Disclaimer:
This script is provided for educational and informational purposes only. It is not intended as
financial advice or a recommendation to buy or sell any asset. Always conduct your own
research and consult with a licensed financial advisor before making trading decisions. Use
at your own risk.
License:
This script is published under the Mozilla Public License 2.0 and is fully open-source.
Built by AresIQ | 2025
Smart Breakout with ATR Stop-LossThe Smart Breakout indicator combines a classic 20-day Donchian channel breakout with a tight trailing stop, drawing green lines and “ENTRY” labels at the bar after a valid breakout, and red lines and “EXIT” label at the bar after a stop-loss breach.
By default it uses the chart’s timeframe to compute ATR and stops, but you can flip on Daily lock to freeze both ATR and price reads at the daily resolution—so your stops stay the same whether you view at 1s, 15 m, 4h or lower frequency bars.
Key features:
20-day Donchian breakout: entry when price closes above the highest high of the previous 20 bars
2 × ATR(14) trailing stop: initialized at entry and raised only when the new (close – 2 × ATR) exceeds the prior stop
Daily lock option: Ensures all ATR and close values are calculated on the daily timeframe, keeping stop levels consistent across resolutions
Smart MACD Reversal Oscillator Pro [TradeDots]The TradeDots Smart MACD Reversal Oscillator Pro is an advanced technical analysis tool that combines traditional MACD functionality with multi-layered signal detection and divergence identification systems. This comprehensive oscillator helps traders identify potential market reversals, trend continuations, and extremes with greater precision than conventional indicators.
📝 HOW IT WORKS
Accumulation & Distribution Detection System
The indicator begins with a proprietary calculation that identifies potential accumulation and distribution phases:
Calculation: Processes EMA differentials with specific time constants to detect underlying accumulation/distribution pressure
Visualization: Green-filled areas indicate accumulation phases (bullish pressure building) while red-filled areas show distribution phases (bearish pressure building)
Significance: This system often identifies trend reversals before traditional indicators by detecting institutional buying/selling activity
Multi-Timeframe MACD Implementation
Unlike traditional MACD indicators that use a single timeframe, this oscillator incorporates multiple calculation methods:
1. Primary Oscillator: Uses a proprietary calculation that combines price extremes with smoothed averages:
Implements specialized moving average types (SMMA and ZLEMA)
Generates a histogram that changes color based on price position relative to these averages
Produces a signal line that identifies crossover opportunities
2. Secondary MACD: Traditional MACD implementation with customizable parameters:
User-selectable MA types (SMA/EMA) for both oscillator and signal line
Color-coded histogram for momentum visualization
Separate crossover detection system
Dynamic Band System
The indicator implements an innovative dynamic band system to identify overbought and oversold conditions:
Band Calculation: Analyzes historical oscillator values to establish statistically significant extremes
Adaptive Scaling: Automatically adjusts to different market volatility regimes using a customizable Y-axis scale factor
Signal Integration: Incorporates band levels into signal generation for higher-probability trades
Signal Generation System
Four distinct signal types are generated to identify potential trading opportunities:
Green Dots: Bullish crossover signals (primary oscillator crosses above signal line)
Red Dots: Bearish crossover signals (primary oscillator crosses below signal line)
Blue Dots: Secondary MACD bullish crossovers in oversold territory
Orange Dots: Secondary MACD bearish crossovers in overbought territory
Advanced Divergence Detection
The oscillator incorporates a sophisticated divergence detection system:
Regular Divergences: Identifies when price makes lower lows while the oscillator makes higher lows (bullish) or price makes higher highs while the oscillator makes lower highs (bearish)
Hidden Divergences: Optional detection of continuation patterns (currently disabled by default)
Visual Markers: Clear labels identifying divergence formations directly on the chart
Zero-Line Filter: Optional filtering to only detect divergences that don't cross the zero line
🛠️ HOW TO USE
Signal Interpretation
Momentum Direction
Histogram Color: Green shades indicate bullish momentum, red shades indicate bearish momentum
Oscillator Position: Above zero indicates bullish momentum, below zero indicates bearish momentum
Filled Background: Green fill shows accumulation phases, red fill shows distribution phases
Buy Signals (In Order of Strength)
Bullish Divergence + Green Dot: Highest probability reversal signal (price making lower lows while oscillator makes higher lows, followed by crossover)
Green Dot Below Short Average Line: Strong oversold reversal signal
Green Dot + Blue Dot Alignment: Multiple indicator confirmation
Green Dot During Green Fill Expansion: Trend continuation signal
Sell Signals (In Order of Strength)
Bearish Divergence + Red Dot: Highest probability reversal signal (price making higher highs while oscillator makes lower highs, followed by crossover)
Red Dot Above Long Average Line: Strong overbought reversal signal
Red Dot + Orange Dot Alignment: Multiple indicator confirmation
Red Dot During Red Fill Expansion: Trend continuation signal
Trading Strategies
Divergence Trading Strategy
Identify "Bullish" or "Bearish" divergence labels on the chart
Wait for confirming dot signal in the same direction
Enter when both divergence and dot signal align
Set stops based on recent swing points
Target the opposite band or previous significant level
Overbought/Oversold Reversal Strategy
Wait for the oscillator to reach extreme bands (Long or Short Average lines)
Look for crossover signals at these extreme levels:
Bullish Crossover (Oversold): Green dots when oscillator is below Short Average
Bearish Crossover (Overbought): Red dots when oscillator is above Long Average
Enter when price confirms the reversal
Set stops beyond the recent extreme
Target the opposite band or at least the zero line
Multi-Confirmation Strategy
For highest probability trades, look for:
Multiple signal types aligning (e.g., Green + Blue dots or Red + Orange dots)
Signals occurring at band extremes
Divergence patterns reinforcing the signal direction
Background fill color supporting the signal (green fill for buys, red fill for sells)
⚙️ CUSTOMIZATION OPTIONS
The indicator offers extensive customization to adapt to different markets and trading styles:
Y-axis scale factor: Controls the band range multiplier (default 2.5)
Parameter 1: Controls the smoothing period for main calculations (default 8)
Parameter 2: Controls the signal line calculation period (default 9)
Fast/Slow Length: Controls traditional MACD calculation periods (12/26)
Oscillator MA Type: Selection between SMA and EMA for main oscillator
Signal Line MA Type: Selection between SMA and EMA for signal line
Divergence Settings: Customizable lookback parameters and display options
Don't touch the zero line?: Toggle option for divergence filtering
❗️LIMITATIONS
Signal Lag: The system identifies reversals after they have begun, potentially missing the absolute bottom or top
False Signals: Can occur during periods of high volatility or during ranging markets
Divergence Validation: Not all divergences lead to reversals; confirmation is essential
Timeframe Sensitivity: The indicator works best on intermediate timeframes (15m to 4h) for most markets
Bar Closing Requirement: All signals are based on closed candles and may be subject to change until the candle closes
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only. Past performance is not indicative of future results.
This oscillator should be used as part of a complete trading approach that includes proper risk management, consideration of the broader market context, and confirmation from price action patterns. No trading system can guarantee profits, and users should always exercise caution and use appropriate position sizing.
Smart Investor - Quarterly Earnings by tarunlalwani007OVERVIEW
Smart Investor - Quarterly Earnings displays comprehensive financial data and moving averages directly on your charts. It shows quarterly/yearly earnings alongside customizable moving averages across multiple timeframes, providing both fundamental and technical analysis in one tool.
This tool is designed purely for analysis purposes. No buy or sell recommendations should be made based solely on the information it provides. Always perform your own due diligence and combine multiple sources of information for trading decisions.
FEATURES
Financial Data Analysis
Displays quarterly (FQ) and yearly (FY) financial metrics
Works with both stocks and futures contracts
Customizable metrics with comparison capabilities
Flexible table positioning options
Multi-Timeframe Moving Averages
Daily, Weekly, and Monthly moving averages adapt to chart timeframe
Support for both EMA and SMA with customizable parameters
Color-coded for easy identification of different timeframes
Company Information Display
Information tags for quick company insights
Display key financial metrics and market performance indicators
SME status identification for small/medium enterprises (only for NSE and BSE India)
FNO and lot size information for derivatives
CALCULATION METHODS
Data Sources
Financial metrics (EPS, Sales, Total Shares) are sourced directly from TradingView's financial API
Price data is obtained using appropriate request functions for the current symbol
Header and Tag Calculations
Current Values: All header and tag metrics use the latest available close price
Market Cap: Latest Close Price × Total Outstanding Shares
Free Float Market Cap: Latest Close Price × Free Float Shares
Free Float Percentage: Obtained directly from TradingView financial data
P/E Ratio: Market Cap / TTM Net Income
52-Week Performance:
Down from 52W High: ((Current Close - 52W High) / 52W High) × 100
Up from 52W Low: ((Current Close - 52W Low) / 52W Low) × 100
Table Calculations
Historical Values: Table metrics use price data from the corresponding quarter/year
Quarter-over-Quarter (QoQ) Change: ((Current Value - Previous Quarter Value) / Previous Quarter Value) × 100
Year-over-Year (YoY) Change: ((Current Value - Value from Same Quarter Last Year) / Value from Same Quarter Last Year) × 100
Quarter names are determined based on the current month: Jan/Feb → Dec, Mar/Apr/May → Mar, Jun/Jul/Aug → Jun, Sep/Oct/Nov → Sep. Each quarter is labeled with its end month and year (e.g., "Mar-2024", "Jun-2024").
Moving Average Implementation
Moving Averages: Calculated based on chart timeframe (daily, weekly, monthly)
EMA/SMA: Uses standard formulas with configurable periods
Included with financial data to provide a complete analysis tool in a single indicator
CUSTOMIZATION OPTIONS
Financial Metrics
The following metrics can be selected for both quarterly and yearly tables:
Sales (Revenue)
EPS (Earnings Per Share)
OPM (Operating Profit Margin)
P/E Ratio
PEG Ratio
Free Float (percentage and value)
Market Cap
PAT (Profit After Tax)
Display Options
Comparison Visualization: Percentage mode, dots mode, or combined
Layout: Multiple table positions, adjustable text size
Themes: Light and dark theme support
History: Display up to 8 periods of historical data
Header Information
Company description
Market capitalization
Free float information
Listing year
Return on Equity (ROE)
Industry/Sector classification
Performance relative to 52-week high/low
FNO status and lot size
HOW TO USE
Add the indicator to your chart
Configure the metrics you want to display in the settings
Position the tables where you prefer on your chart
Customize colors and display options
Adjust moving averages to match your trading style
LIMITATIONS
Financial data availability depends on what TradingView provides for each instrument
Some calculations may show NA when underlying data is unavailable
Small market cap stocks or recently listed companies may have limited historical data
Futures contracts are detected automatically but may require manual verification
TECHNICAL NOTES
Automatic futures contract detection with calculation adjustments
SME status determined using an internal database of symbols that is manually maintained and updated
Date handling adjustments near quarter boundaries ensure consistency
All financial data is sourced directly from TradingView's financial API
Company description and sector information comes directly from TradingView symbol data
