Uptrick: Fisher Eclipse1. Name and Purpose
Uptrick: Fisher Eclipse is a Pine version 6 extension of the basic Fisher Transform indicator that focuses on highlighting potential turning points in price data. Its purpose is to allow traders to spot shifts in momentum, detect divergence, and adapt signals to different market environments. By combining a core Fisher Transform with additional signal processing, divergence detection, and customizable aggressiveness settings, this script aims to help users see when a price move might be losing momentum or gaining strength.
2. Overview
This script uses a Fisher Transform calculation on the average of each bar’s high and low (hl2). The Fisher Transform is designed to amplify price extremes by mapping data into a different scale, making potential reversals more visible than they might be with standard oscillators. Uptrick: Fisher Eclipse takes this concept further by integrating a signal line, divergence detection, bar coloring for momentum intensity, and optional thresholds to reduce unwanted noise.
3. Why Use the Fisher Transform
The Fisher Transform is known for converting relatively smoothed price data into a more pronounced scale. This transformation highlights where markets may be overextended. In many cases, standard oscillators move gently, and traders can miss subtle hints that a reversal might be approaching. The Fisher Transform’s mathematical approach tightens the range of values and sharpens the highs and lows. This behavior can allow traders to see clearer peaks and troughs in momentum. Because it is often quite responsive, it can help anticipate areas where price might change direction, especially when compared to simpler moving averages or traditional oscillators. The result is a more evident signal of possible overbought or oversold conditions.
4. How This Extension Improves on the Basic Fisher Transform
Uptrick: Fisher Eclipse adds multiple features to the classic Fisher framework in order to address different trading styles and market behaviors:
a) Divergence Detection
The script can detect bullish or bearish divergences between price and the oscillator over a chosen lookback period, helping traders anticipate shifts in market direction.
b) Bar Coloring
When momentum exceeds a certain threshold (default 3), bars can be colored to highlight surges of buying or selling pressure. This quick visual reference can assist in spotting periods of heightened activity. After a bar color like this, usually, there is a quick correction as seen in the image below.
c) Signal Aggressiveness Levels
Users can choose between conservative, moderate, or aggressive signal thresholds. This allows them to tune how quickly the indicator flags potential entries or exits. Aggressive settings might suit scalpers who need rapid signals, while conservative settings may benefit swing traders preferring fewer, more robust indications.
d) Minimum Movement Filter
A configurable filter can be set to ensure that the Fisher line and its signal have a sufficient gap before triggering a buy or sell signal. This step is useful for traders seeking to minimize signals during choppy or sideways markets. This can be used to eliminate noise as well.
By combining all these elements into one package, the indicator attempts to offer a comprehensive toolkit for those who appreciate the Fisher Transform’s clarity but also desire more versatility.
5. Core Components
a) Fisher Transform
The script calculates a Fisher value using normalized price over a configurable length, highlighting potential peaks and troughs.
b) Signal Line
The Fisher line is smoothed using a short Simple Moving Average. Crossovers and crossunders are one of the key ways this indicator attempts to confirm momentum shifts.
c) Divergence Logic
The script looks back over a set number of bars to compare current highs and lows of both price and the Fisher oscillator. When price and the oscillator move in opposing directions, a divergence may occur, suggesting a possible upcoming reversal or weakening trend.
d) Thresholds for Overbought and Oversold
Horizontal lines are drawn at user-chosen overbought and oversold levels. These lines help traders see when momentum readings reach particular extremes, which can be especially relevant when combined with crossovers in that region.
e) Intensity Filter and Bar Coloring
If the magnitude of the change in the Fisher Transform meets or exceeds a specified threshold, bars are recolored. This provides a visual cue for significant momentum changes.
6. User Inputs
a) length
Defines how many bars the script looks back to compute the highest high and lowest low for the Fisher Transform. A smaller length reacts more quickly but can be noisier, while a larger length smooths out the indicator at the cost of responsiveness.
b) signal aggressiveness
Adjusts the buy and sell thresholds for conservative, moderate, and aggressive trading styles. This can be key in matching the indicator to personal risk preferences or varying market conditions. Conservative will give you less signals and aggressive will give you more signals.
c) minimum movement filter
Specifies how far apart the Fisher line and its signal line must be before generating a valid crossover signal.
d) divergence lookback
Controls how many bars are examined when determining if price and the oscillator are diverging. A larger setting might generate fewer signals, while a smaller one can provide more frequent alerts.
e) intensity threshold
Determines how large a change in the Fisher value must be for the indicator to recolor bars. Strong momentum surges become more noticeable.
f) overbought level and oversold level
Lets users define where they consider market conditions to be stretched on the upside or downside.
7. Calculation Process
a) Price Input
The script uses the midpoint of each bar’s high and low, sometimes referred to as hl2.
hl2 = (high + low) / 2
b) Range Normalization
Determine the maximum (maxHigh) and minimum (minLow) values over a user-defined lookback period (length).
Scale the hl2 value so it roughly fits between -1 and +1:
value = 2 * ((hl2 - minLow) / (maxHigh - minLow) - 0.5)
This step highlights the bar’s current position relative to its recent highs and lows.
c) Fisher Calculation
Convert the normalized value into the Fisher Transform:
fisher = 0.5 * ln( (1 + value) / (1 - value) ) + 0.5 * fisher_previous
fisher_previous is simply the Fisher value from the previous bar. Averaging half of the new transform with half of the old value smooths the result slightly and can prevent erratic jumps.
ln is the natural logarithm function, which compresses or expands values so that market turns often become more obvious.
d) Signal Smoothing
Once the Fisher value is computed, a short Simple Moving Average (SMA) is applied to produce a signal line. In code form, this often looks like:
signal = sma(fisher, 3)
Crossovers of the fisher line versus the signal line can be used to hint at changes in momentum:
• A crossover occurs when fisher moves from below to above the signal.
• A crossunder occurs when fisher moves from above to below the signal.
e) Threshold Checking
Users typically define oversold and overbought levels (often -1 and +1).
Depending on aggressiveness settings (conservative, moderate, aggressive), these thresholds are slightly shifted to filter out or include more signals.
For example, an oversold threshold of -1 might be used in a moderate setting, whereas -1.5 could be used in a conservative setting to require a deeper dip before triggering.
f) Divergence Checks
The script looks back a specified number of bars (divergenceLookback). For both price and the fisher line, it identifies:
• priceHigh = the highest hl2 within the lookback
• priceLow = the lowest hl2 within the lookback
• fisherHigh = the highest fisher value within the lookback
• fisherLow = the lowest fisher value within the lookback
If price forms a lower low while fisher forms a higher low, it can signal a bullish divergence. Conversely, if price forms a higher high while fisher forms a lower high, a bearish divergence might be indicated.
g) Bar Coloring
The script monitors the absolute change in Fisher values from one bar to the next (sometimes called fisherChange):
fisherChange = abs(fisher - fisher )
If fisherChange exceeds a user-defined intensityThreshold, bars are recolored to highlight a surge of momentum. Aqua might indicate a strong bullish surge, while purple might indicate a strong bearish surge.
This color-coding provides a quick visual cue for traders looking to spot large momentum swings without constantly monitoring indicator values.
8. Signal Generation and Filtering
Buy and sell signals occur when the Fisher line crosses the signal line in regions defined as oversold or overbought. The optional minimum movement filter prevents triggering if Fisher and its signal line are too close, reducing the chance of small, inconsequential price fluctuations creating frequent signals. Divergences that appear in oversold or overbought regions can serve as additional evidence that momentum might soon shift.
9. Visualization on the Chart
Uptrick: Fisher Eclipse plots two lines: the Fisher line in one color and the signal line in a contrasting shade. The chart displays horizontal dashed lines where the overbought and oversold levels lie. When the Fisher Transform experiences a sharp jump or drop above the intensity threshold, the corresponding price bars may change color, signaling that momentum has undergone a noticeable shift. If the indicator detects bullish or bearish divergence, dotted lines are drawn on the oscillator portion to connect the relevant points.
10. Market Adaptability
Because of the different aggressiveness levels and the optional minimum movement filter, Uptrick: Fisher Eclipse can be tailored to multiple trading styles. For instance, a short-term scalper might select a smaller length and more aggressive thresholds, while a swing trader might choose a longer length for smoother readings, along with conservative thresholds to ensure fewer but potentially stronger signals. During strongly trending markets, users might rely more on divergences or large intensity changes, whereas in a range-bound market, oversold or overbought conditions may be more frequent.
11. Risk Management Considerations
Indicators alone do not ensure favorable outcomes, and relying solely on any one signal can be risky. Using a stop-loss or other protections is often suggested, especially in fast-moving or unpredictable markets. Divergence can appear before a market reversal actually starts. Similarly, a Fisher Transform can remain in an overbought or oversold region for extended periods, especially if the trend is strong. Cautious interpretation and confirmation with additional methods or chart analysis can help refine entry and exit decisions.
12. Combining with Other Tools
Traders can potentially strengthen signals from Uptrick: Fisher Eclipse by checking them against other methods. If a moving average cross or a price pattern aligns with a Fisher crossover, the combined evidence might provide more certainty. Volume analysis may confirm whether a shift in market direction has participation from a broad set of traders. Support and resistance zones could reinforce overbought or oversold signals, particularly if price reaches a historical boundary at the same time the oscillator indicates a possible reversal.
13. Parameter Customization and Examples
Some short-term traders run a 15-minute chart, with a shorter length setting, aggressively tight oversold and overbought thresholds, and a smaller divergence lookback. This approach produces more frequent signals, which may appeal to those who enjoy fast-paced trading. More conservative traders might apply the indicator to a daily chart, using a larger length, moderate threshold levels, and a bigger divergence lookback to focus on broader market swings. Results can differ, so it may be helpful to conduct thorough historical testing to see which combination of parameters aligns best with specific goals.
14. Realistic Expectations
While the Fisher Transform can reveal potential turning points, no mathematical tool can predict future price behavior with full certainty. Markets can behave erratically, and a period of strong trending may see the oscillator pinned in an extreme zone without a significant reversal. Divergence signals sometimes appear well before an actual trend change occurs. Recognizing these limitations helps traders manage risk and avoids overreliance on any one aspect of the script’s output.
15. Theoretical Background
The Fisher Transform uses a logarithmic formula to map a normalized input, typically ranging between -1 and +1, into a scale that can fluctuate around values like -3 to +3. Because the transformation exaggerates higher and lower readings, it becomes easier to spot when the market might have stretched too far, too fast. Uptrick: Fisher Eclipse builds on that foundation by adding a series of practical tools that help confirm or refine those signals.
16. Originality and Uniqueness
Uptrick: Fisher Eclipse is not simply a duplicate of the basic Fisher Transform. It enhances the original design in several ways, including built-in divergence detection, bar-color triggers for momentum surges, thresholds for overbought and oversold levels, and customizable signal aggressiveness. By unifying these concepts, the script seeks to reduce noise and highlight meaningful shifts in market direction. It also places greater emphasis on helping traders adapt the indicator to their specific style—whether that involves frequent intraday signals or fewer, more robust alerts over longer timeframes.
17. Summary
Uptrick: Fisher Eclipse is an expanded take on the original Fisher Transform oscillator, including divergence detection, bar coloring based on momentum strength, and flexible signal thresholds. By adjusting parameters like length, aggressiveness, and intensity thresholds, traders can configure the script for day-trading, swing trading, or position trading. The indicator endeavors to highlight where price might be shifting direction, but it should still be combined with robust risk management and other analytical methods. Doing so can lead to a more comprehensive view of market conditions.
18. Disclaimer
No indicator or script can guarantee profitable outcomes in trading. Past performance does not necessarily suggest future results. Uptrick: Fisher Eclipse is provided for educational and informational purposes. Users should apply their own judgment and may want to confirm signals with other tools and methods. Deciding to open or close a position remains a personal choice based on each individual’s circumstances and risk tolerance.
Tìm kiếm tập lệnh với "scalp"
Enigma Liquidity Concept
Enigma Liquidity Concept
Empowering Traders with Multi-Timeframe Analysis and Dynamic Fibonacci Insights
Overview
The Enigma Liquidity Concept is an advanced indicator designed to bridge multi-timeframe price action with Fibonacci retracements. It provides traders with high-probability buy and sell signals by combining higher time frame market direction and lower time frame precision entries. Whether you're a scalper, day trader, or swing trader, this tool offers actionable insights to refine your entries and exits.
What Makes It Unique?
Multi-Timeframe Signal Synchronization:
Higher time frame bullish or bearish engulfing patterns are used to define the directional bias.
Lower time frame retracements are analyzed for potential entry opportunities.
Dynamic Fibonacci Layouts:
Automatically plots Fibonacci retracement levels for the most recent higher time frame signal.
Ensures a clean chart by avoiding clutter from historical signals.
Actionable Buy and Sell Signals:
Sell Signal: When the higher time frame is bearish and the price on the lower time frame retraces above the 50% Fibonacci level before forming a bearish candle.
Buy Signal: When the higher time frame is bullish and the price on the lower time frame retraces below the 50% Fibonacci level before forming a bullish candle.
Customizable Fibonacci Visuals:
Full control over Fibonacci levels, line styles, and background shading to tailor the chart to your preferences.
Integrated Alerts:
Real-time alerts for buy and sell signals on the lower time frame.
Alerts for bullish and bearish signals on the higher time frame.
How It Works
Higher Time Frame Analysis:
The indicator identifies bullish and bearish engulfing patterns to detect key reversals or continuation points.
Fibonacci retracement levels are calculated and plotted dynamically for the most recent signal:
Bullish Signal: 100% starts at the low, 0% at the high.
Bearish Signal: 100% starts at the high, 0% at the low.
Lower Time Frame Execution:
Monitors retracements relative to the higher time frame Fibonacci levels.
Provides visual and alert-based buy/sell signals when conditions align for a high-probability entry.
How to Use It
Setup:
Select your higher and lower time frames in the settings.
Customize Fibonacci levels, line styles, and background visuals for clarity.
Trade Execution:
Use the higher time frame signals to determine directional bias.
Watch for actionable buy/sell signals on the lower time frame:
Enter short trades on red triangle sell signals.
Enter long trades on green triangle buy signals.
Alerts:
Enable alerts for real-time notifications of buy/sell signals on lower time frames and higher time frame directional changes.
Concepts Underlying the Calculations
Engulfing Patterns: Represent key reversals or continuations in price action, making them reliable for defining directional bias on higher time frames.
Fibonacci Retracements: Fibonacci levels are used to identify critical zones for potential price reactions during retracements.
Multi-Timeframe Analysis: Combines the strength of higher time frame trends with the precision of lower time frame signals to enhance trades.
Important Notes
This indicator is best used in conjunction with your existing trading strategy and risk management plan.
It does not repaint signals and ensures clarity by displaying Fibonacci levels only for the most recent signal.
Ideal For:
Swing traders, day traders, and scalpers looking to optimize entries and exits with Fibonacci retracements.
Traders who prefer clean charts with actionable insights and customizable visuals.
Flashtrader´s Statistical BandwidthsThe vast majority of traders exclusively concern
themselves with trend-following in all its facets. Scoring
points with trends on a regular basis is a difficult task
since prices do not constantly move in one direction
or another. In the case of the DAX future, for example,
only about 30 per cent of all trading days in a year are
trend days. And of these, there are x percent long ones
and x per cent short ones. Catching the very days when
prices rise or fall from the opening to the close is a major
challenge for a trader who also needs to have previously
recognised the corresponding direction.
However, there are also other ways of profit-taking
every day – for example, by using the mean reversion
strategy. The idea behind this is the fact that prices reach
a high and a low every day – but very rarely close at the
high or the low. This means that prices always move
away from these extreme points and the closing price is
somewhere in between. A profitable trading strategy can
be developed out of this.
But how can you know where the high and the low
will be tomorrow? Is it possible for you to know this in
advance? No – because no one can predict the future. Or
can they? At least it can be statistically determined how
high or low prices could go tomorrow. There is a high
degree of probability that one of the two possibilities
will materialise. It will then be necessary to act.
Calculation
Classic pivot points for the following day are calculated
from the high, low and closing price. But does it really
make sense to use such a mix? I don’t think so and
use a different calculation for this strategy. In a first step,
only the differences between the start and the high or low
are calculated on a daily basis. To avoid being dependent
on individual days and outliers, it is advisable to calculate,
in a second step, the average of these differences over
the past five days. Finally, this average will then be added
at the opening price of the current trading day for the
upper statistical bandwidth and subtracted for the lower
bandwidth.
upper bandwidth = oSTB (violet dashed line in the chart)
lower bandwidth = uSTB (violet dashedline in the chart)
The second interesting question is, if the previous day's high has been exceeded, how much further can the price rise from a mathematical/statistical point of view?
These calculated previous day highs expansions are shown as red dashed lines
Previous day's high expansion = VTHA
Previous day's low expansion = VTTA
For further orientation, the previous day's high (VTH) and the previous day's low (VTT) are shown in light blue dashed lines
And as a supplement, the previous day's close in the DAX Future at 10:00 p.m. VTSA in violet solid lines and the previous day's close in the cash register at 5:30 p.m. VTSN in yellow solid lines
Reaching the calculated extreme values does not mean that the trend has to change immediately, but there is at least temporary exhaustion potential with which you can earn a few points every day in the area of scalping.
Example for cheap entry long:
Example for cheap entry short:
Deutsch:
Die Masse der Trader beschäftigt sich ausschließlich mit Trendfolge in all ihren Facetten. Mit Trends regelmäßig zu punkten ist ein schwieriges Unterfangen, da die Kurse nicht ständig in die eine oder andere Richtung laufen. Beim DAX-Future zum Beispiel sind von allen Börsentagen im Jahr lediglich zirka 30 Prozent Trendtage. Davon sind dann auch noch x Prozent Long und x Prozent Short. Hier genau die Tage abzupassen, an denen die Kurse von Börsenbeginn bis zum Schluss steigen beziehungsweise fallen, ist eine große Herausforderung – wobei der Trader zuvor noch die entsprechende Richtung erkannt haben muss. Es gibt jedoch auch noch andere Methoden täglich Gewinne mitzunehmen, zum Beispiel mit der Mean-Reversion-Strategie (Mittelwertumkehr).
Hintergrund ist die Tatsache, dass die Kurse jeden Tag ein Hoch und ein Tief erreichen – aber sehr selten am Hoch oder am Tief schließen. Das bedeutet, dass die Preise sich immer wie der von diesen Extrempunkten wegbewegen und der Schlusskurs irgendwo dazwischen liegt. Hieraus lässt sich eine profitable Handelsstrategie entwickeln. Aber woher kannst Du wissen, wo morgen das Hoch und das Tief sein wird? Kannst Du das vorher schon wissen? Nein – denn niemand kann die Zukunft vorhersagen. Oder doch? Statistisch lässt sich zumindest bestimmen, wie hoch und wie tief die Kurse morgen steigen oder fallen könnten. Eine Seite wird mit sehr hoher Wahrscheinlichkeit ein treffen. Dann gilt es zu handeln.
Berechnung Klassischer Pivot-Punkte für den folgenden Tag werden aus Hoch, Tief und Schlusskurs berechnet. Aber ist es wirklich sinnvoll, einen solchen Mix zu verwenden? Ich finde das nicht und verwenden für diese Strategie eine andere Berechnung. Im ersten Schritt werden täglich die Differenzen nur vom Start bis zum Hoch beziehungsweise Tief errechnet. Um nicht von einzelnen Tagen und Ausreißern abhängig zu sein, empfiehlt es sich, in einem zweiten Schritt den Durchschnitt dieser Differenzen über die letzten fünf Tage zu errechnen. Zuletzt wird dann dieser Durchschnitt zum Eröffnungskurs des aktuellen Handelstages für die obere statistische Bandbreite addiert und für die untere Bandbreite subtrahiert.
Obere statistische Bandbreite = oSTB (violette gestrichelte Linie im Chart)
Untere statistische Bandbreite = uSTB (violette gestrichelte Linie im Chart)
Die zweite interessante Frage ist, wenn das Vortageshoch überschritten wurde, wie weit kann der Kurs dann noch steigen aus mathematisch/statistischer Sicht?
Diese berechneten Vortagesextremausdehnungen sind als rote gestrichelte Linien dargestellt
Vortageshochausdehnung = VTHA
Vortagestiefausdehnung = VTTA
Für die weitere Orientierung sind die Vortageshochs (VTH) und die Vortagestiefs (VTT) als hellblaue gestrichelte Linien abgebildet.
Als Ergänzung wird noch der Vortages Schluss im Dax Future um 22:00 Uhr VTSA mit einer violetten durchgezogenen Linie und der Kassamarktschluss um 17:30 Uhr mit einer gelben durchgezogenen Linie gezeigt.
Das Erreichen der berechneten Extremwerte bedeutet nicht, das der Trend sofort drehen muss, aber es sind zumindest temporäre Erschöpfungspotentiale mit denen sich im Bereich scalping täglich einige Punkte verdienen lassen.
Beispiel für günstigen Einstieg Long:
Beispiel für günstigen Einstieg Short:
BRT MACD CustomBRT MACD Custom — Adaptive and Flexible MACD for Multi-Timeframe Analysis
The BRT MACD Custom is an advanced version of the traditional MACD indicator, offering additional flexibility and adaptability for multi-timeframe trading. This custom script allows traders to adjust the calculation parameters for MACD to suit their specific trading strategy, timeframe, and market conditions.
Key Features
Multi-Timeframe Support
Unlike the standard MACD, this indicator lets you choose a specific timeframe (different from the chart timeframe) for calculating MACD values. This feature provides more flexibility in analyzing market trends on multiple timeframes without changing the main chart.
Example: You can analyze MACD on a 15-minute timeframe even when your chart is set to 1-minute, giving you broader market insights.
Customizable EMA and Signal Settings
Users can adjust the fast and slow EMA lengths as well as the signal smoothing to better align with their preferred trading strategies. The script allows switching between the two popular types of moving averages — SMA or EMA — for both the MACD and the signal line.
Volatility-Based Adaptive EMA
The script includes an adaptive mechanism for EMA calculation. When the selected timeframe closes, the indicator dynamically adjusts the calculation, ensuring the MACD values respond quickly to market volatility. This makes the indicator more reactive compared to static MACD implementations.
Shift Options for MACD, Signal, and Histogram
The indicator allows shifting the MACD, signal line, and histogram values by one or more bars. This can be useful for backtesting and simulating strategies where you anticipate future price movements.
Signal Alerts for Long and Short Trades
The script generates visual signals when certain conditions are met, indicating potential long or short trade opportunities. These signals are based on MACD and histogram crossovers:
Long Signal: Triggered when MACD is above the signal line and both are rising.
Short Signal: Triggered when MACD is below the signal line and both are falling.
Custom Plotting
The MACD line, signal line, and histogram are plotted on the chart for easy visualization. The histogram changes colors to reflect positive or negative momentum:
Green shades when MACD is above the signal line.
Red shades when MACD is below the signal line.
Applications in Trading
The BRT MACD Custom is ideal for traders who need flexibility in their technical analysis. Its multi-timeframe capabilities and customizable moving averages make it suitable for day trading, swing trading, and long-term investing across a variety of markets.
Scalping: Use the 1-minute or 5-minute timeframe to identify short-term trends while calculating MACD on a higher timeframe such as 15 or 30 minutes.
Swing Trading: Apply the indicator on 1-hour or 4-hour charts to detect mid-term trends.
Long-Term Investing: Analyze daily or weekly charts with longer EMA periods to confirm market direction before making large investments.
OneThingToRuleThemAll [v1.4]This script was created because I wanted to be able to display a contextual chart of commonly used indicators for scalping and swing traders, with the ability to control the visual representation on the charts as their cross-overs, cross-unders, or changes of state happen in real time. Additionally, I wanted the ability to control how or when they are displayed. While looking through other community projects, I found they lacked the ability to full customize the output controls and values used for these indicators.
The script leverages standard RSI/MACD/VWAP/MVWAP/EMA calculations to help a trader visually make more informed decisions on entering or exiting a trade, depending on their understanding on what the indicators represent. Paired with a table directly on the chart, it allows a trader to quickly reference values to make more informed decisions without having to look away from the price action or look through multiple indicator outputs.
The main functionality of the indicator is controlled within the settings directly on the chart. There a user can enable the visual representations, or disable, and configure how they are displayed on the charts by altering their values or style types.
Users have the ability to enable/disable visual representations of:
The indicator chart
RSI Cross-over and RSI Reversals
MACD Uptrends and Downtrends
VWAP Cross-overs and Cross-unders
VWAP Line
MVWAP Cross-overs and Cross-unders
MVWAP Line
EMA Cross-overs and Cross-unders
EMA Line
Some traders like to use these visual indications as thresholds to enter or exit trades. Its best to find out which ones work the best with the security you are trying to trade. Personally, I use the table as a reference in conjunction with the RSI chart indicators to help me decide a logical trailing stop if I am scalping. Some users might like the track EMA200 crossovers, and have visual representations on the chart for when that happens. However, users may use the other indicators in other methods, and this script provides the ability to be able to configure those both visually and by value.
The pine script code is open source and itself is fairly straightforward, it is mostly written to provide the ultimate level of control the the user of the various indicators. Please reach out to me directly if you would like a further understanding of the code and an explanation on anything that may be unclear.
Enjoy :)
-dead1.
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이".
"코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe.
### Entry Logic
1. Long Entry Logic
- Super Trend Short -> Long
- close > SSL Hybrid baseline upper k
- QQE MOD should be blue
2. Short Entry Logic
- Super Trend Long -> Short
- close < SSL Hybrid baseline lower k
- QQE MOD should be red
### Exit Logic
1. Long Exit Logic
- Super Trend Long -> Short
2. Short Entry Logic
- Super Trend Short -> Long
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ True but not a 'perfect true'.
→ It did made a small profit on 15 minute timeframe. But it made a profit so it's true.
→ It worked well in longer timeframe. I think super trend works well so I will work on this further.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ Crypto like BTC, ETH was ok.
→ The result was better when I use EMA filter.
### Robust?
→ Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable).
→ Also, MDD was good under risk management option on.
**********************************************************************************
*** Conclusion?
→ I recommend you not to use this on short timeframe as the youtuber first mentioned.
→ In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
[VDB]TrendScalp-FractalBox-3EMAThere are many indicators with William’s Fractal and Alligator. As many use EMA’s it may be useful to define a 3-EMA ribbon and combining Fractal Levels/Box (filling background between top and bottom fractals) for trend scalping. I searched for this kind of indicator in community – some show fractals, some just levels, some with alligator etc. but couldn't find the one needed. Hence thought of this indicator which may be of interest to other users too.
Key Points:
EMA ribbon is created using 3 EMA’s 35/70/105. Users can change these as per their preference. This is used for trend identification – 1. Bullish bias if Price > EMA1 > EMA2 > EMA3. 2. Bearish bias if Price < EMA1 < EMA2 < EMA3.
Background is marked during crossing of EMA1 and EMA2 to alert possible trend change.
5-bar fractals are used to mark the Fractal levels and background between top and bottom fractals are filled to create a Fractal Box.
Fractal levels are marked only when the fractal formation is complete. Given offset is used this is lagging.
How to Use:
Sloping EMA ribbon is used for identifying the trend.
Fractal box break-out/ break-downs are used to trigger the trade with fractal high/low for entry/SL. Waiting for price contraction towards EMA ribbon resulting in smaller boxes is key to initiate trade. Avoid bigger boxes as SL’s will be big and price may move within. To draw the vertical lines of FractalBox change fractal level0 style to step-line.
This indicator combined with the cycle high/low (overbought/oversold) indicators such as CCI/Stochastic/RSI etc. can make it a good trend scalping setup while trading in the direction of momentum in higher timeframe.
This setup could be used for any timeframes. Do your back-testing before using it in live market.
This indicator was achieved by combing some fractal ideas from “Fractal and Alligator Alerts by JustUncleL”
DISCLAIMER : This indicator has been created for educational reference only and do not constitute investment advice. This indicator should not be relied upon as a substitute for extensive independent market research before making your actual trading decisions. Market data or any other content is subject to change at any time without notice. Liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from use of this indicator is accountability of user using it.
Volume Zone Oscillator (VZO)My interpretation of Walid Khalil's Volume Zone Oscillator (VZO) as published in the 2009 International Federation of Technical Analysis Journal.
This VZO indicator is also the same as Danielle Shay's popular Simpler Trading TurboVZO indicator.
ABOUT:
The oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction.
HOW TO USE THE INDICATOR:
The default period is 14 but can be adjusted after backtesting.
The VZO points to a positive trend when it rises above and maintains the 5% level, and a negative trend when it falls below the 5% level and fails to turn higher. Oscillations between the 5% and 40% levels mark a bullish trend zone, while oscillations between -40% and 5% mark a bearish trend zone. Meanwhile, readings above 40% signal an overbought condition, while readings above 60% signal an extremely overbought condition. Alternatively, readings below -40% indicate an oversold condition, which becomes extremely oversold below -60%.
Kahlil recommends confirming VZO signals with a 14-period average directional index (ADX), with values greater than 18 pointing to a trending market - search Tradingview's built-in indicators for the Directional Movement Index (DMI).
INTRADAY SCALPING:
Whilst the VZO is already smoothed with an exponential moving average, the indicator settings include an additional 'smoothing' function to remove any excess 'noise' in the plots for intraday use.
Average Band by HarmanUsually, Moving Averages (Simple & Exponential) consider "close" of each candle to form a line for a particular period. In this indicator, we have considered all the parameters (Open, Close, Low & High) of each candle to form a Band or a wave which act as a zone to provide support & resistance. It works well on all the time frames. It perfectly works on lower time frames of 15 min & 5 min for intraday trades and even for scalping. There is a line that moves very near to candles known as "Candle Line" provide support & resistance to each individual candle and a leading line which moves ahead also acts as support & resistance and helps in determining trend direction.
How to use the indicator ?
Indicator consists of 3 components :
1) A Band or wave of 3 lines (upper, middle & lower line)
2) A "Candle Line" which moves along with the candles
3) A Leading line which moves ahead of the candles
Method 1 : When candles are being formed above the candle line (line near to candles) and it crosses the band or wave from below to upside, then long trade can be initiated. Similarly, When candles are being formed below the Candle line and it crosses the band or wave from upside then short trade can be initiated. Stop loss can be maintained below the band for Long trade and above the band for short trade. Candle line can be used to trail the stop loss.
Method 2: If candles moves above and below of the band very often and frequently and candle line is in the middle of candles then it is NO TRADING ZONE. If you still want to trade, then select a higher time frame and check the price movement. If there is a stability in the higher time frame, then take the trade in the higher timeframe with stable movement.
Method 3 : Candle line acts as "First line of Defence". In a uptrend, all the candles are formed above the candle line and in case of down trend, all the candles are formed below the candle line. When a newly formed candle cross the candle line then you can book profit. For Example : In uptrend , candles are being formed above the line, when a new candle started forming below the line and when the complete candle is formed below the line, profit can be booked. Vice-versa in case of downtrend.
Method 4: Direction of leading line, band and candle line helps in determining the trend. If all these three components are in upward direction, price trend is upward and if all these three components are in downward direction, then price trend is downward. When, leading line and band cross each other from opposite direction for consecutive 2-3 times, then price movement is sideways.
Method 5 : Thickness of band play an important role in determining price action. If band is narrow, it means small candles are being formed and no any huge price movement is observed in this period. When band started expanding, it signifies that big candles are begin to form and there is a more price movement than before. Similarly, If contraction of band started, it means that small candles are being formed and there is low price movement as compared to the price movement when Band was expanded. If Band is expanded (wider) and volumes are high, It means the Band will act as strong Support or Resistance than usual. In case, candles and candle line cross the expanded Band, you can enter the Long or Short trade.
Method 6: When the Band, leading line and candle line collides or meet at a single point, then it is either strong support or resistance.
Method 7 : Usage in Scalping : Select the shorter time frame of 1 min or 5 min. If the candles are crossing the band very frequently in 1 min, then select 5 min time frame or wait for few minutes for stability. Now, when candles started forming above the candle line and it crosses the band from below then take a long position and book profit after few candles above the band. Place stop loss below the Band. Similarly, when candles started forming below the candle line and it crosses the band from above, then enter into short trade and book profit after few candles. Place stop loss above the band in the case of short trade.
You can combine above methods to give a sharp edge to your trade and increase the probability of your winning in the trade.
Indicator Settings : Default period selected is 50 for both the Band and leading line. You can change the period to 26 or 100 or 200. Select the period and check the chart, if the indicator looks fine and smooth, then you can use your settings. For most of the time, default settings work perfectly.
Proudly Developed by :
Harmandeep Singh
Graduate in Computer Science with Physics & Mathematics
MBA in Business Marketing and Finance
Experienced Computer programmer & Software developer
Stock Market & Crypto Trader
Camelback-IndikatorDer Camelback-Indikator stammt von Joe Ross. Er beinhaltet zwei einfache gleitende Durchschnitte mit 40 Perioden und einen exponentiellen gleitenden Durchschnitt mit 15 Perioden.
Sobald wir mit Preisbalken arbeiten, die vollständig unterhalb des MA40-Kanals liegen, versuchen wir einen Ausbruch durch das Tief des Balkens zu verkaufen, der das lokale Hoch macht. Mit dem lokalen Hoch ist das Hoch einer geringfügigen Korrektur außerhalb des MA40-Kanals gemeint.
Sobald wir mit Preisbalken arbeiten, die vollständig oberhalb des MA40-Kanals liegen, versuchen wir einen Ausbruch durch das Hoch des Balkens zu kaufen, der das lokale Tief macht. Mit dem lokalen Tief ist das Tief einer geringfügigen Korrektur außerhalb des Kanals gemeint.
Was wir hier tun, kann als Scalping bezeichnet werden. Das Skalieren des längerfristigen Charts mit kurzfristigen Handelstechniken ist eine großartige Möglichkeit, um die Art von Aktion zu handeln, die wir in diesen Charts sehen.
Der Camelback-Indikator kann auch zum scannen von Aktiemärkten benutzt werden.
Der Indikator beinhaltet neben der Camelback-Funktion außerdem noch einen einfachen gleitentenden Durchschnitt mit 200 Perioden, zwei einfache gleitentende Durchschnitte (im script short-term genannt) mit einstellbarer Periodendauer, einer davon angewendet auf Hochs, bei dem anderen kann die Anwendung der Quelle eingestellt werden. Bei beiden ist ein Offset einstellbar.
The Camelback indicator is from Joe Ross. It includes two simple moving averages with 40 periods and an exponential moving average with 15 periods.
Once we are working with price bars that are completely below the MA40 channel, we try to sell a breakout through the low of the bar which makes the local high. By the local high is meant the high of a minor correction outside of the MA40 channel.
Once we are working with price bars that are completely above the MA40 channel, we try to buy a breakout through the high of the bar which makes the local low. By the local low we mean the low of a minor correction outside the channel.
What we are doing here can be called scalping. Scaling the longer term chart with short term trading techniques is a great way to trade for the kind of action we see on these charts.
The Camelback indicator can also be used to scan stock markets.
In addition to the Camelback function, the indicator also includes a simple moving average with 200 periods, two simple moving averages (called short-term in the script) with adjustable period duration, one of which is applied to highs, the other can be used to set the source . An offset can be set for both.
Gamma Regime Indicator [Eloni]
╔══════════════════════════════════════════════════════════════════════════════════════════════╗
║ GAMMA REGIME / VWAP FLOW ENGINE ║
╚══════════════════════════════════════════════════════════════════════════════════════════════╝
┌──────────────────────┬─────────────────────────────┬────────────────────────────┬──────────────┐
│ MARKET STRUCTURE │ FLOW / SENTIMENT │ VOLATILITY / IV │ POSITION │
├──────────────────────┼─────────────────────────────┼────────────────────────────┼──────────────┤
│ • VWAP Distance │ • Call / Put / Total Vol │ • VIX / IV Level │ • Hold Bars │
│ • Round Levels │ • Z-Score Normalization │ • IV Slope (Up/Down) │ • Entry ≥ 5 │
│ • Prev Close │ • Flow Hot / Flow Cold │ • ATR Compress / Expand │ • Exit ≤ 2 │
│ • ATR % │ • PCR Ratio & Slope │ • Regime Shift Alert │ • Buffer │
│ • Near / Far Zones │ • Extremes Detection │ • Volatility Cycles │ • Reset │
└──────────────────────┴─────────────────────────────┴────────────────────────────┴──────────────┘
===============================================================================
PINNING REGIME (MEAN REVERSION ZONE)
===============================================================================
┌─────────────┐ ┌──────────────┐ ┌──────────────┐
│ LOCATION │ ----> │ CONFIRM │ ----> │ EXECUTE │
└─────────────┘ └──────────────┘ └──────────────┘
Near VWAP / Level Flow = Cold Fade Extremes
Near Prev Close ATR = Compress Sell High / Buy Low
IV = Down Scalps / Short DTE
PCR = Extreme
-------------------------------------------------------------------------------
WHERE
-----
- VWAP ± Threshold
- Gamma Walls
- Round Numbers
- Prior Day Close
INDICATORS
----------
- VWAP
- Volume Z-Score
- ATR Percent
- PCR
- VIX
STRATEGIES
----------
- VWAP Fade
- Range Scalping
- Iron Condors
- Credit Spreads
- Mean Reversion Options
AVOID
-----
- Expanding Range
- High Volume Breaks
- Rising IV
- News Events
===============================================================================
TREND / BREAKOUT REGIME (MOMENTUM ZONE)
===============================================================================
┌─────────────┐ ┌──────────────┐ ┌──────────────┐
│ LOCATION │ ----> │ CONFIRM │ ----> │ EXECUTE │
└─────────────┘ └──────────────┘ └──────────────┘
Far from VWAP Flow = Hot Buy Pullbacks
Outside Range ATR = Expand Break and Retest
IV = Rising Ride Momentum
PCR = Trending
-------------------------------------------------------------------------------
WHERE
-----
- Range High / Low
- VWAP Break
- Value Area Break
- Opening Range
INDICATORS
----------
- VWAP Bands
- Flow Z
- ATR Expansion
- IV Slope
- Volume Profile
STRATEGIES
----------
- Opening Range Breakout
- Trend Pullbacks
- Debit Spreads
- Futures Momentum
- Directional Options
AVOID
-----
- Fading Strength
- Weak Volume Moves
- Flat Volatility
- Midday Chop
===============================================================================
NO EDGE / BUFFER ZONE
===============================================================================
VWAP Reset | Session Open | Post-News | Low Volume
- Reduce Size
- Observe Only
- Wait for Alignment
- Capital Preservation
===============================================================================
REGIME DECISION MATRIX
===============================================================================
┌──────────────┬──────────────┬──────────────┬──────────────┬──────────────┐
│ STRUCTURE │ FLOW │ IV │ PCR │ REGIME │
├──────────────┼──────────────┼──────────────┼──────────────┼──────────────┤
│ Near │ Cold │ Down │ Extreme │ Pinning │
│ Far │ Hot │ Up │ Trending │ Trend │
│ Mixed │ Neutral │ Flat │ Neutral │ No Edge │
└──────────────┴──────────────┴──────────────┴──────────────┴──────────────┘
===============================================================================
EXECUTION PLAYBOOK
===============================================================================
PIN MODE
--------
Entry : VWAP / Level Touch + Flow Cold
Stop : VWAP Break + ATR Expansion
TP : Mid-Range / Mean Reversion
Size : Medium to High
TREND MODE
----------
Entry : Pullback to VWAP / EMA
Stop : Range Reclaim
TP : ATR Trail / Structure
Size : Scale In
NO EDGE
-------
Entry : None
Goal : Preservation
Focus : Patience
===============================================================================
CORE SYSTEM LOGIC
===============================================================================
PINNING = Liquidity Absorption -> Mean Reversion -> Sell Volatility
TREND = Momentum Expansion -> Directional Flow -> Buy Volatility
NO EDGE = Regime Unclear -> Capital Protection
Entropy Divergence (No Repaint) [PhenLabs]📊 Entropy Divergence (No Repaint)
Version: PineScript™ v6
📌 Description
The Entropy Divergence Scalper (EDS) is a sophisticated trading indicator that applies information theory to market analysis. By calculating Shannon Entropy on price returns, it identifies periods when market behavior becomes more predictable and orderly—the ideal conditions for divergence-based trading.
Traditional divergence indicators generate signals regardless of market conditions, leading to many false signals during chaotic, high-entropy periods. EDS solves this by acting as an intelligent filter: it only triggers signals when entropy drops below your specified threshold, indicating that the market has entered a more structured, tradeable state.
This indicator is built with a strict non-repainting guarantee. All signals use barstate.isconfirmed and only appear after bar close, giving you reliable signals you can trust for live trading.
🚀 Points of Innovation
Shannon Entropy integration measures market randomness using information theory mathematics
Dual divergence engine detects both RSI and Volume divergences simultaneously
Entropy-filtered signals eliminate noise by only triggering in low-entropy (predictable) market conditions
100% non-repainting architecture ensures all signals are confirmed and historically accurate
Multi-layer confirmation combines entropy state, RSI divergence, and volume divergence for higher probability setups
Dynamic color visualization provides instant visual feedback on current market entropy state
🔧 Core Components
Shannon Entropy Calculator: Bins price returns into histograms and calculates entropy using H(X) = -Σ p(x) × log₂(p(x))
RSI Divergence Detector: Identifies when price makes lower lows while RSI makes higher lows (bullish) or price makes higher highs while RSI makes lower highs (bearish)
Volume Divergence Detector: Spots increasing volume interest at price lows (bullish) or decreasing conviction at price highs (bearish)
Pivot Detection System: Uses configurable lookback periods to identify and track price, RSI, and volume pivots
Signal Classification Engine: Labels signals as RSI, VOL, or RSI+VOL based on which divergences triggered
🔥 Key Features
Entropy Threshold Control: Set your preferred entropy level (default 2.5) to filter out signals during chaotic market periods
Configurable Smoothing: EMA smoothing on entropy values reduces noise while maintaining signal responsiveness
Flexible Pivot Detection: Adjust left/right lookback bars to tune sensitivity for different trading styles
Divergence Search Range: Control how far back the indicator looks for divergence patterns (20-200 bars)
Minimum Pivot Distance: Prevents false signals from pivots that are too close together
Complete Alert System: Four alert conditions for bullish signals, bearish signals, any signal, and low entropy zone entry
🎨 Visualization
Dynamic Entropy Line: Color gradient shifts from green (low entropy/tradeable) to orange (high entropy/chaotic)
Entropy Threshold Line: Dashed reference line shows your configured entropy threshold
Low Entropy Zone Fill: Background highlighting indicates when market is in tradeable low-entropy state
Scaled RSI Plot: RSI overlay scaled to fit the entropy pane for easy correlation analysis
Normalized Volume Bars: Volume displayed as columns normalized against 20-period average
Signal Labels: Clear LONG/SHORT labels with divergence type (RSI, VOL, or RSI+VOL)
Information Table: Real-time display of entropy value, state, RSI, and current signal status
📖 Usage Guidelines
Entropy Lookback Period — Default: 20, Range: 5-100 — Controls how many bars are used for entropy calculation; higher values provide smoother readings but slower response
Histogram Bins — Default: 10, Range: 5-50 — Number of bins for probability distribution; more bins provide finer granularity
Low Entropy Threshold — Default: 2.5, Range: 0.5-4.0 — Signals only trigger when entropy drops below this value; lower settings are more selective
Entropy Smoothing — Default: 3, Range: 1-10 — EMA smoothing applied to raw entropy values for noise reduction
RSI Length — Default: 14, Range: 5-50 — Standard RSI calculation period
Pivot Lookback Left — Default: 5, Range: 2-20 — Bars to the left for pivot detection
Pivot Lookback Right — Default: 2, Range: 1-10 — Bars to the right for pivot confirmation; lower values produce faster signals
Divergence Search Range — Default: 60, Range: 20-200 — Maximum bars to look back for divergence comparison
Min Bars Between Pivots — Default: 5, Range: 3-30 — Minimum distance between pivots for valid divergence detection
✅ Best Use Cases
Scalping during low-volatility consolidation periods when entropy drops and price becomes more predictable
Swing trade entry timing by waiting for divergence signals in low-entropy market conditions
Trend reversal identification when both RSI and Volume divergences align with low entropy readings
Multi-timeframe confirmation by checking entropy state on higher timeframes before taking signals
Filtering existing strategies by adding entropy as a confirmation layer to reduce false signals
⚠️ Limitations
Signals appear with a delay due to pivot confirmation requirements (pivotLookbackRight bars after pivot forms)
May generate fewer signals during strongly trending markets where entropy remains elevated
Entropy threshold requires optimization for different instruments and timeframes
Not designed for high-frequency trading due to bar-close confirmation requirement
Divergences can fail in extremely strong trends where momentum overwhelms the signal
💡 What Makes This Unique
First indicator to combine Shannon Entropy filtering with multi-factor divergence detection
Information theory approach provides mathematical foundation for identifying tradeable market states
Triple confirmation requirement (low entropy + divergence + bar close) significantly reduces false signals
Non-repainting guarantee makes it suitable for strategy backtesting and live trading
Open-source PineScript v6 code allows traders to understand and customize the methodology
🔬 How It Works
Step 1 — Entropy Calculation: The indicator calculates logarithmic returns, bins them into a histogram, and computes Shannon Entropy to measure market randomness
Step 2 — Entropy Filtering: When smoothed entropy drops below the threshold, the market is considered to be in a tradeable low-entropy state
Step 3 — Pivot Detection: The system continuously tracks price, RSI, and volume pivots using configurable lookback parameters
Step 4 — Divergence Analysis: When a new pivot is confirmed, the indicator compares it against previous pivots to detect bullish or bearish divergences
Step 5 — Signal Generation: A final signal only triggers when low entropy conditions coincide with a confirmed divergence pattern on a closed bar
💡 Note:
This indicator is designed for educational purposes and technical analysis. Always use proper risk management and never risk more than you can afford to lose. The non-repainting guarantee means signals will only appear after bar close—watch the indicator in real-time to verify this behavior. For optimal results, consider combining EDS signals with support/resistance levels and overall market context.
polymarket 15 min markerHere is a professional and catchy description you can use when publishing this script on TradingView. It highlights the "pro" features we added (MTF capability, custom fonts, and bug fixes).
Title: Current 15m Open – Pro Anchored Level
Description:
What it does: This indicator is a precision tool for intraday traders. It automatically identifies and draws a horizontal line at the opening price of the current 15-minute candle. This level serves as a key pivot for intraday bias—price above is often bullish, price below is often bearish.
Unlike standard indicators, this script is engineered to be Multi-Timeframe (MTF) stable. This means you can view the 15m Open level while scalping on a 1-minute, 5-minute, or even 1-second chart, and the line will remain locked to the correct price without repainting or jumping.
Key Features:
🎯 Precision Anchor: Uses time-based coordinates to ensure the line starts exactly at the 15m candle open, regardless of your current timeframe.
⚡ Zero-Lag MTF: Instantly updates the moment a new 15-minute session begins.
💎 Luxury Visuals: Features a "Fancy Font" hack that uses special Unicode characters to display the label in a bold, professional serif style (customizable in settings).
📐 Smart Positioning: The label floats clearly on the right side of the chart (margin area), ensuring it never obstructs your view of the candles.
🛠 Stability Fixes: Includes custom logic to prevent the "disappearing line" bug that often occurs when viewing the same timeframe as the indicator source.
Settings:
Theme Color: Customize the line and text color to match your chart theme.
Font Style: Choose between "Luxury" (Serif), "Hacker" (Monospace), or "Modern" (Standard).
Text Offset: Adjust how far to the right the label sits.
How to use:
Add to your chart.
Use it as a bias filter: Look for longs above the blue line and shorts below it.
Perfect for scalpers who need to keep the higher-timeframe context visible at all times.
Gamma of Gamma - AnticipationGamma of Gamma — Anticipation Engine
What if you could detect market inflections before they become obvious? Not react to momentum — anticipate the momentum itself.
"Gamma here refers to mathematical acceleration (2nd derivative), NOT options Gamma"
Gamma of Gamma (GoG) operates one abstraction layer above conventional indicators. While RSI tells you what momentum did , GoG tells you what momentum is about to do . This is the difference between chasing price and positioning ahead of it.
Core Innovation: Traditional indicators measure first-order effects (price change) or second-order effects (momentum/acceleration). This system measures the third derivative — the rate of change of acceleration itself. When Gamma-of-Gamma reaches extremes, it signals that pressure dynamics are about to flip — often 2-5 bars before price visibly reacts.
Target Users: Discretionary traders, scalpers, and swing traders who want early positioning signals with statistical rigor. Effective on stocks, crypto, forex, and futures with meaningful volume data.
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WHY THIRD-DERIVATIVE ANALYSIS?
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The Hierarchy of Market Information
Most traders operate at the wrong level of abstraction:
• Price → What happened (lagging)
• Momentum → How fast it happened (still lagging)
• Gamma (2nd Derivative) → How momentum is changing (coincident)
• Gamma of Gamma (3rd Derivative) → How FAST that change is changing ( leading )
The third derivative captures inflection acceleration — the mathematical signature of regime transition. When GoG reaches extreme values, the market is telegraphing that current pressure dynamics are unsustainable.
Why This Beats RSI
RSI measures momentum magnitude. GoG measures momentum trajectory .
Consider this scenario: RSI reads 70 (overbought). Is the move exhausted or just getting started? RSI cannot tell you. GoG can — because it measures whether buying pressure is accelerating into the high RSI reading (continuation likely) or decelerating despite high RSI (reversal imminent).
RSI answers: "How strong was the move?"
GoG answers: "Is the move strengthening or weakening right now ?"
The first is historical. The second is predictive.
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MATHEMATICAL FOUNDATION
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Layer 1: Cumulative Volume Delta (CVD)
The foundation is order flow approximation:
• Up bar (close > prior close): Volume classified as buying pressure
• Down bar (close < prior close): Volume classified as selling pressure
• CVD = Running sum of signed volume
Interpretation: Rising CVD indicates net aggressive buying. Falling CVD indicates net aggressive selling. CVD divergence from price often precedes reversals.
Layer 2: Gamma (Second Derivative)
Gamma measures acceleration of order flow:
Formula: Gamma = CVD - 2×CVD + CVD
This is the discrete second derivative — the rate of change of the rate of change. When Gamma spikes positive, buying pressure is accelerating . When Gamma spikes negative, selling pressure is accelerating.
Layer 3: Gamma of Gamma (Third Derivative)
GoG measures jerk — the acceleration of acceleration:
Formula: GoG = Gamma - 2×Gamma + Gamma
Critical insight: Extreme GoG readings indicate that current pressure dynamics are reaching an inflection point. The system is "overextended" in its current trajectory and will likely revert or reverse.
Layer 4: Z-Score Normalization
Raw GoG values are normalized against their 50-period distribution:
Formula: GoG_Z = (GoG - Mean_50) / StdDev_50
Benefit: Z-scores are regime-adaptive. A "2.0" reading always means "2 standard deviations from normal" regardless of whether you're trading a penny stock or ES futures. This makes thresholds consistent across instruments and timeframes.
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SIGNAL GENERATION LOGIC
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Long Signal (Bullish Anticipation)
Triggers when:
• GoG Z-score < -Threshold (default -2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Selling pressure acceleration has reached an extreme negative reading. The selling is "exhausting itself" — acceleration is peaking and will soon decelerate. Buyers are likely to step in.
Short Signal (Bearish Anticipation)
Triggers when:
• GoG Z-score > +Threshold (default +2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Buying pressure acceleration has reached an extreme positive reading. The buying is "exhausting itself" — often occurs at blow-off tops, failed breakouts, or momentum climaxes.
Why Volume Confirmation?
Gamma acceleration in thin liquidity is meaningless noise. The volume filter ensures signals occur only when meaningful participation backs the pressure dynamics. This dramatically reduces false signals during low-activity periods.
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CONFIDENCE ENGINE
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Not all signals are equal. The Confidence Engine quantifies signal strength:
Confidence Calculation:
Confidence = 50 + ((|Z-Score| - Threshold) / Threshold) × 100
Capped at 100%
Visual Representation:
• Small orb = Low confidence (50-65%)
• Normal orb = Medium confidence (65-80%)
• Large orb = High confidence (80-100%)
Orb transparency also adjusts — high-confidence signals appear brighter and more prominent. This creates intuitive visual hierarchy where stronger signals demand more attention.
Practical Use:
• High confidence (>80%): Consider larger position size, tighter stops
• Medium confidence (50-80%): Standard position size
• Low confidence (<50%): Reduced size or wait for confirmation
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INTEGRATED BACKTESTER
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Every signal system needs accountability. The onboard backtester provides real-time performance tracking:
Core Metrics:
• Total Trades
• Win Rate
• Profit Factor
• Expectancy (average P&L per trade)
• Net P&L
• Max Drawdown
• Average Win / Average Loss
Methodology:
• Positions held for configurable bar count (default 10 bars)
• Forces objective evaluation independent of discretionary exits
• Updates in real-time as new trades complete
Optimizer Mode:
Enable for parameter tuning research:
• Stability Score (0-100 points): Composite evaluation of parameter robustness
• Trade Density : Signals per 1000 bars — monitors over/under-trading
• Parameter Display : Current settings for documentation
• Robustness Rating : ROBUST / STABLE / FRAGILE / OVERFIT
Stability Scoring Breakdown:
• Win Rate ≥55%: +25 points | ≥50%: +15 points | ≥45%: +5 points
• Expectancy >0.5%: +25 points | >0.1%: +15 points | >0%: +5 points
• Total Trades ≥30: +25 points | ≥20: +15 points | ≥10: +5 points
• Profit Factor ≥1.5: +25 points | ≥1.2: +15 points | ≥1.0: +5 points
Target: 60+ points indicates stable parameters. Below 40 suggests overfitting risk.
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CHART EXECUTION SIGNALS
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Unique feature: Entry and exit markers display directly on the price chart via force_overlay, even though the indicator runs in a separate pane.
Visual Markers:
• ▲ Green Triangle (below bar): Long entry at exact price level
• ▼ Red Triangle (above bar): Short entry at exact price level
• ✕ Gold X-Cross : Position exit after hold period
Benefit: Immediate visual correlation between GoG signals and price action. Review historical trades without switching between panes.
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DUAL DASHBOARD SYSTEM
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Main Dashboard — Real-Time State
Displays:
• Current GoG regime (EXTREME HIGH / EXTREME LOW / NEUTRAL)
• GoG Z-Score (numerical)
• Raw GoG value
• Gamma value
• CVD (Cumulative Volume Delta)
• Volume status (Active/Low with ratio)
• Signal state (Scanning / Long Signal / Short Signal / In Position)
• Confidence meter with visual bar
• Entry price when in position
Backtest Dashboard — Performance Metrics
Displays all backtester metrics in compact format. Switches to Optimizer view when Optimizer Mode enabled.
Both dashboards feature:
• Configurable position (6 locations including Middle Left/Right)
• Adjustable text size (Tiny/Small/Normal/Large)
• Transparency control for visual integration
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PARAMETER GUIDE
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Calculation Settings
• GoG Extreme Threshold (default 2.0): Z-score level for signal generation. Higher = fewer but stronger signals. Range: 0.5-5.0
• Gamma Smoothing (default 3): SMA period for Gamma. Lower = more responsive, more noise. Higher = smoother, more lag. Range: 1-20
• GoG Smoothing (default 5): SMA period for GoG. Filters micro-spikes while preserving structural inflections. Range: 1-20
• Min Volume Multiple (default 1.2): Volume must exceed this multiple of 20-period average. Ensures signals have participation backing. Range: 0.5-3.0
Backtester Settings
• Backtest Hold Bars (default 10): Forced holding period for backtester evaluation. Adjust based on timeframe and trading style.
• Parameter Optimizer Mode : Enables extended metrics for tuning research.
Tuning by Timeframe
Scalping (1-5 min):
Threshold: 1.5-2.0 | Gamma Smooth: 2-3 | GoG Smooth: 3-4 | Hold: 5-8 bars
Day Trading (15-60 min):
Threshold: 2.0-2.5 | Gamma Smooth: 3-5 | GoG Smooth: 5-7 | Hold: 8-12 bars
Swing Trading (4H-Daily):
Threshold: 2.5-3.0 | Gamma Smooth: 5-7 | GoG Smooth: 7-10 | Hold: 10-15 bars
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HOW TO USE: PRACTICAL WORKFLOW
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Step 1: Identify Regime
Watch the GoG Z-score line. Most of the time it oscillates within the neutral zone (between thresholds). This is "scanning" mode — no actionable signal.
Step 2: Wait for Extreme
When Z-score crosses threshold AND volume confirms, a signal fires. The orb appears in the indicator pane; the triangle appears on price chart.
Step 3: Assess Confidence
Check orb size and dashboard confidence reading:
• Large bright orb + 80%+ confidence = High conviction setup
• Small faint orb + <60% confidence = Requires additional confirmation
Step 4: Execute with Context
GoG signals anticipate — they don't confirm. Use price structure (support/resistance), higher timeframe trend, or other confirmation before entry.
Step 5: Manage Position
Exit markers show backtester exits. For live trading, consider:
• Time-based exit (signal's hold period)
• Opposite signal exit
• Fixed R:R targets
Step 6: Review Performance
Check Backtest Dashboard regularly. If Win Rate drops below 45% or Expectancy goes negative, reassess parameters or market conditions.
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WHAT THIS INDICATOR IS — AND ISN'T
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This Indicator IS:
✅ State-transition detector (balance → imbalance)
✅ Early warning system for momentum shifts
✅ Anticipation tool for pre-positioning
✅ Statistical framework with built-in accountability
This Indicator IS NOT:
❌ Mechanical buy/sell system (requires discretion)
❌ Trend-following indicator
❌ Reversal-only indicator
❌ Replacement for risk management
Best Use Cases:
• Detecting early reversals before obvious confirmation
• Anticipating breakouts during volatility compression
• Timing pullback entries in established trends
• Identifying exhaustion at momentum climaxes
Challenging Conditions:
• Extremely low volume environments
• News-driven gaps (no order flow to measure)
• Instruments with unreliable volume data
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ORIGINALITY STATEMENT
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Innovation 1: Third-Derivative Order Flow Analysis
While first and second derivatives are common, applying third-derivative (jerk) analysis to cumulative volume delta is novel. This captures inflection points that lower-order analysis misses entirely.
Innovation 2: Z-Score Adaptive Thresholds
Rather than fixed thresholds that require per-instrument tuning, z-score normalization creates self-adapting signal levels that work consistently across any liquid instrument.
Innovation 3: Confidence-Weighted Visual System
Dynamic orb sizing and transparency based on signal strength provides intuitive visual hierarchy. Stronger signals literally appear larger and brighter.
Innovation 4: Integrated Accountability
Built-in backtester with optimizer mode enables parameter validation directly on chart. No external tools or spreadsheets required.
Innovation 5: Dual-Pane Execution Visualization
Force-overlay chart signals bridge the gap between indicator pane and price action, enabling immediate visual trade review.
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LIMITATIONS & DISCLAIMERS
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Technical Limitations
• Volume classification uses bar direction (close vs prior close), not tick-level aggressor data. Precision loss estimated 10-15% vs institutional-grade data.
• CVD approximation assumes volume follows price direction. Works well in trending conditions; less precise in choppy markets.
• Backtester uses fixed hold period, not optimal exit logic. Real performance may vary with proper trade management.
Market Limitations
• Requires meaningful volume data. Avoid instruments with reported volume issues.
• Signals may cluster during high-volatility events. Not every signal should be traded.
• Anticipation signals appear early by design. Patience required — price may continue against signal briefly before reversing.
Risk Disclosure
• Trading involves risk of loss. Past performance does not guarantee future results.
• This indicator provides analysis tools, not financial advice.
• Always use proper position sizing and risk management.
• Backtest results are hypothetical and do not include slippage, commissions, or fees.
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RECOMMENDED SETTINGS BY MARKET
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Crypto (BTC, ETH, SOL)
Threshold: 1.8-2.2 | Gamma: 3 | GoG: 5 | Volume: 1.3x | TF: 15min-4H
Notes: Higher volatility produces more signals. Consider higher threshold to filter.
Forex Majors (EURUSD, GBPUSD)
Threshold: 2.0-2.5 | Gamma: 4 | GoG: 6 | Volume: 1.2x | TF: 5min-1H
Notes: Lower volatility requires patience. Volume proxy via tick volume works adequately.
Stocks (Large Cap)
Threshold: 2.0-2.5 | Gamma: 3-4 | GoG: 5-6 | Volume: 1.2x | TF: 15min-Daily
Notes: Real volume data provides cleanest signals. Watch for opening/closing auction distortions.
Futures (ES, NQ, CL)
Threshold: 2.0-2.3 | Gamma: 3 | GoG: 5 | Volume: 1.2x | TF: 5min-1H
Notes: Excellent volume data. Session boundaries may produce false signals — consider RTH only.
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CONCLUSION
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Gamma of Gamma represents a fundamental shift in signal philosophy: from reacting to momentum to anticipating momentum.
By operating at the third derivative of order flow, this system detects the mathematical signatures of regime transition — the moments when current pressure dynamics become unsustainable and reversal becomes probable.
This is not another oscillator telling you what already happened. This is an anticipation engine positioning you for what's about to happen.
Stop chasing. Start anticipating.
RSI tells you where momentum was. GoG tells you where it's going.
Taking you to school. - Dskyz , Trade with probability. Trade with anticipation. Trade with GoG
Session Range Boxes(MTF)📦 Indicator Name
Session Range Boxes (MTF)
Multi-Timeframe Directional Session Range Visualization
📘 Description
Session Range Boxes (MTF) is a multi-timeframe market structure tool that visually highlights price range behavior across different time sessions using clean, directional range boxes.
Each box represents the High–Low range of a completed or live session, automatically colored based on directional bias:
🟢 Bullish → Session Close > Session Open
🔴 Bearish → Session Close < Session Open
⚪ Neutral → Session Close = Session Open
This allows traders to instantly identify trend strength, balance zones, volatility expansion, and key support/resistance areas across multiple timeframes — all on a single chart.
🔍 What This Indicator Shows
For every enabled timeframe, the indicator:
Draws a range box from session open to session close
Continuously updates live session High & Low
Locks the final color once the session completes
Keeps historical boxes for structure and context
Supported timeframes:
Quarterly
Half-Yearly
Yearly
Monthly
Weekly
Daily
Hourly
30-Minute
15-Minute
5-Minute
⚙️ Default Behavior
By default, the indicator enables:
Weekly
Daily
Hourly
This default setup is intentionally chosen to suit most traders and provides:
Higher-timeframe structure (Weekly)
Swing context (Daily)
Intraday execution levels (Hourly)
🧠 How to Use It Effectively
📈 Higher-Timeframe Analysis (Swing / Positional Trading)
Recommended combinations:
Weekly + Daily
Monthly + Weekly
Use cases:
Identify dominant market bias
Spot compression vs expansion
Define higher-timeframe support & resistance zones
⚡ Intraday Trading (Day Trading)
Recommended combinations:
Daily + Hourly
Hourly + 30-Minute
Use cases:
Track intraday range development
Identify directional day types
Trade breakouts, rejections, or mean-reversion within session ranges
🚀 Scalping & Precision Entries
Recommended combinations:
Hourly + 15-Minute
30-Minute + 5-Minute
Use cases:
Fine-tune entries within larger session ranges
Align lower-timeframe trades with higher-timeframe bias
Spot micro range expansion and contraction
🎨 Customization Options
Bullish / Bearish / Neutral colors
Box fill transparency
Border transparency & color
Maximum historical boxes per timeframe
This allows you to keep charts clean, lightweight, and performance-friendly.
💡 Best Practices
Avoid enabling too many timeframes at once — clarity beats clutter
Use higher-timeframe boxes for bias, lower-timeframe boxes for entries
Combine with:
Market structure
Volume
VWAP
Liquidity concepts
Price action confirmation
Session Range Boxes (MTF) is a clean, powerful visual tool designed to help traders:
Understand session-based price behavior
Align trades across timeframes
Improve structure awareness without clutter
Whether you are a scalper, day trader, or swing trader, this indicator adapts seamlessly to your workflow.
Liquidity OS [PyraTime]Trading the lower timeframes (1m-15m) often feels like navigating a minefield. Charts become cluttered with noise, making it nearly impossible to distinguish random price action from genuine institutional intent. Traders frequently suffer from "Analysis Paralysis," struggling to spot clean setups or reacting too slowly to calculate risk accurately in fast-moving markets.
The Solution: A Clean Operating SystemPyraTime: Liquidity OS was engineered to solve this specific problem. It is not just a signal tool; it is a complete visual operating system designed to declutter your workspace and enforce discipline. By filtering price action through a strict confluence of Structure, Time, and Momentum, it highlights only high-probability liquidity sweeps while automating the complex mental math of risk management.
How to Use This Indicator
This tool is designed for Scalpers and Day Traders utilizing liquidity concepts (ICT/SMC).
Wait for the Signal: The indicator automatically identifies valid "Unicorn" setups—a confluence of a Liquidity Sweep followed by a displacement (Breaker) and a Fair Value Gap.
Verify the Context: Look for the "Elite Glass" Capsule.
Cyan Glass: Bullish Setup (Long Opportunity).
Pink Glass: Bearish Setup (Short Opportunity).
Note: The capsule physically covers messy wicks, forcing your eye to focus solely on the clear path to profit or invalidation.
Consult the Dashboard: Glance at the "Monitor" panel (bottom right). It instantly displays the Position Size required to trade the setup based on your pre-defined account risk (e.g., 1%).
Execute & Focus: Use the visual TP (Take Profit) and SL (Stop Loss) lines provided by the capsule to set your orders. The system automatically dims old trades ("Smart Spotlight") so only the current opportunity competes for your attention.
Key Features
🦁 "Elite Glass" Visual Engine: A proprietary rendering system that displays trade setups as high-transparency, polished capsules. This creates a "Focus-First" environment, reducing chart noise and visual fatigue.
🧠 Smart Spotlight: Automatically manages visual history. The two most recent active zones remain bright, while older setups automatically dim to reduce clutter. Mitigated zones can be set to turn into "Ghosts" or disappear entirely.
🛡️ Risk OS Dashboard: A real-time, persistent monitor that calculates:
Dynamic Position Sizing: Tells you exactly how many units/contracts to trade.
Session Metrics: Tracks Win Rate, Total R, and Expectancy live.
Safety Warnings: Highlights "High Risk" inputs in red if you exceed safety thresholds.
⚡ Logic Filters:
Killzones: Restrict signals to specific sessions (e.g., London/NY) with a custom timezone selector.
Trend Flow: Filters signals to align with the 4H Trend (EMA 50).
Deep Value: Ensures buys occur in Discount and sells in Premium zones.
Specifications & Settings
Risk OS: Customizable Target R:R, Stop Loss Padding (ATR Multiplier), and Risk Per Trade %.
Liquidity Filters: "1m Scalp Mode" (increased sensitivity), Killzone Time/Timezone selector, and Force Reset button.
Visual Interface: Fully customizable colors. Toggles for "Show Midlines" (50% of FVG) and "Show Structure Breaks" (BOS lines) to further reduce noise.
Performance: Built on Pine Script v6 with null-safe execution and optimized garbage collection for zero-lag performance on all timeframes.
Disclaimer: Risk metrics, position sizing, and performance data displayed by this indicator are for informational and educational purposes only. This tool does not execute trades, manage funds, or guarantee future results. Always trade with a regulated broker and verify calculations independently.
Candle Countdown TimerCandle Countdown Timer - Real-Time Bar Close Indicator
Stay ahead of the market with this elegant countdown timer that shows exactly how much time remains until the current candle closes. Perfect for scalpers, day traders, and anyone who needs precise timing for their trading decisions.
✨ Key Features:
Universal Timeframe Support - Automatically adapts to any chart timeframe (1m, 5m, 15m, 1h, 4h, 1D, etc.)
Smart Positioning - Choose between two display modes:
Candle High/Low: Displays above bullish candles, below bearish candles
Current Price: Shows at the closing price level for easy reference
Color-Coded Display - Timer automatically matches your chart's candle colors (green for bullish, red for bearish) for instant visual clarity
Fully Customizable - Adjust font size (8-50), opacity (0-100), and placement to match your trading style and chart setup
Clean, Non-Intrusive Design - Minimal interface that provides critical information without cluttering your chart
📊 Perfect For :
Timing precise entries and exits
Scalping strategies requiring exact candle close timing
Multi-timeframe analysis
Managing time-sensitive trade setups
Avoiding last-second candle close surprises
🎯 How to Use :
Simply add the indicator to your chart and customize the settings to your preference. The countdown automatically updates in real-time, showing hours, minutes, and seconds remaining until the current bar closes.
⚙️ Settings:
Font Size: Numeric input (8-50) for precise size control
Text Opacity: Control visibility from 0 (solid) to 100 (invisible)
Placement: Choose "Candle High/Low" or "Current Price" positioning
💡 Pro Tip:
Use the "Current Price" placement mode when trading on multiple timeframes to keep the countdown at a consistent price level, making it easier to track across different chart configurations.
HaP Williams %R Pro+This indicator combines the classic Williams %R (Percent Range) oscillator with multi-timeframe (MTF) analysis, allowing you to visualize the general market direction on a single chart. Thanks to its advanced dashboard feature, you can instantly monitor overbought/oversold conditions across all periods, ranging from the 1-minute chart to the 1-month chart.
With the AVG F feature added to the table, short-term price movements and momentum changes (specifically for Scalping) can be detected much faster.
🚀 Key Features
Multi-Timeframe (MTF) Support: Simultaneously calculates Williams %R values for 1m, 5m, 15m, 30m, 1h, 2h, 4h, Daily, Weekly, and Monthly periods.
Smart Dashboard: The table located in the corner of the screen displays values and color codes for all timeframes.
AVG S (Slow Average): This is the average of 5m, 15m, 30m, and 1h data. It indicates the general trend direction.
AVG F (Fast Average) : This is the average of 1m, 5m, and 15m data. It is used for instant momentum and scalping entries.
Signal Smoothing: Williams %R data is smoothed with a Simple Moving Average (SMA) to reduce market noise.
Dynamic Coloring: Colors on the dashboard and chart automatically change according to the strength of the trend.
🎨 Color Codes and Meanings
The dashboard and chart lines are colored according to the following logic:
🟢 Bright Green (Lime): If the value is above -20. This is the "Overbought" zone, but it indicates a strong Bullish trend. Momentum is very high.
🌿 Dark Green: If the value is between -20 and -50. The market is in the positive zone; the upward tendency continues.
🔴 Red: If the value is between -50 and -80. The market is in the negative zone; the downward tendency dominates.
🛑 Bright Red: If the value is below -80. This is the "Oversold" zone. Momentum is very low, and the Bearish trend is strong.
💡 How to Use? (Strategy Suggestions)
General Trend Tracking: Look at the AVG S (Slow Average) column in the dashboard. If it is green, the general direction is up; if red, it is down.
Scalp Trades: The AVG F (Fast Average) column is ideal for catching short-term reversals. Entry reliability increases when the AVG F color aligns with AVG S.
Crossovers: Crossovers between the Fast Average (Red Line) and Slow Average (Black Line) on the chart can signal potential trend changes.
Dashboard Harmony: If all boxes (or the vast majority) in the dashboard are the same color (e.g., all green), it indicates a very strong trend in that direction. You should avoid opening positions in the opposite direction.
⚙️ Settings
Williams %R Period: Default is 14; you can change it according to your strategy.
Dashboard Position: You can move the dashboard to the top-right, bottom-right, or bottom-left corner of the screen.
Show Lines: If you want to prevent chart clutter, you can toggle off the lines and use only the dashboard.
Disclaimer: This indicator is a support tool and does not contain definitive buy/sell signals. You should make your investment decisions based on your own analysis and risk management.
Chainbey Ai - HTF Trend Matrix (Clean)Chainbey Ai – HTF Trend Matrix is a professional, higher-timeframe trend detection indicator designed to give traders a clean, reliable market bias, regardless of the chart timeframe they are trading on.
This indicator automatically analyzes multiple higher timeframes (HTFs) and combines:
EMA trend direction
Trend strength (ADX)
Market structure (trend vs range)
Trend disagreement across HTFs
Reversal probability estimation
All results are displayed in a compact table at the bottom-right, making it perfect for scalpers, day traders, and swing traders who need fast, decision-ready information.
🧠 What This Indicator Solves
❌ No more guessing the higher-timeframe trend
❌ No more trading against the main market bias
❌ No more confusion between trend vs range
✅ Clear BULLISH / BEARISH / RANGE bias
✅ Strength score to avoid weak trends
✅ Reversal probability to manage risk
📊 How to Read the Table (User Manual)
🔹 FINAL Row
Example:
FINAL | BEARISH TREND | -46
Text (BEARISH / BULLISH / RANGE) → Overall market bias
Number (-46) → Trend Strength Score
Trend Score Guide:
Score Meaning
0 to ±20 No trend / Choppy
±20 to ±40 Weak trend
±40 to ±70 Healthy trend
±70+ Very strong / extended trend
📌 Negative = Bearish
📌 Positive = Bullish
🔹 REVERSAL – Possibility (%)
Example:
REVERSAL | Possibility | 45%
This shows the chance of trend exhaustion or reversal.
Reversal % Meaning
0–30% Strong trend continuation
30–50% Normal pullback risk
50%+ High reversal probability
70%+ Dangerous to chase trades
📌 Use this to avoid late entries.
🔹 HTF Rows (60 / 240 / D)
Each row shows:
DIR / STRUCT
Direction from EMA trend
Market structure (TREND / RANGE)
ADX
Trend strength
STRONG / MEDIUM / CHOP
📌 If multiple HTFs agree → higher confidence
📌 If HTFs conflict → reduce position size or wait
🛠 Recommended Trading Usage
✅ Best Practices
Trade in the direction of FINAL trend
Enter on pullbacks, not breakouts
Use lower timeframes only for entries
❌ Avoid
Trading against FINAL bias
Chasing trades when reversal % is high
Over-leveraging in CHOP conditions
🎯 Ideal For
Crypto traders (Spot & Futures)
Forex traders
Gold / Commodity traders
Scalping, Intraday & Swing trading
⚠️ Disclaimer
This indicator is a decision-support tool, not financial advice. Always combine it with proper risk management, confirmations, and your trading plan.
MoBo Bands - Momentum Breakout IndicatorDESCRIPTION
MoBo Bands (Momentum Breakout Bands) is a volatility-based breakout detection indicator that helps traders identify potential momentum shifts in the market. The indicator uses dynamic bands calculated from standard deviation to signal when price breaks above or below established ranges, indicating potential bullish or bearish momentum changes.
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KEY FEATURES
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- Dynamic upper and lower bands based on standard deviation
- Color-coded bands that change based on breakout direction (green for bullish, red for bearish)
- Visual breakout arrows marking entry points above/below bands
- Optional colored fill zones between bands showing current momentum state
- Customizable displacement for band projection
- Built-in alert system for breakout and breakdown signals
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HOW IT WORKS
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The indicator calculates a middle line using a Simple Moving Average (SMA) with upper and lower bands positioned using standard deviation multipliers. When price closes above the upper band, a bullish breakout (green) is signaled. When price closes below the lower band, a bearish breakdown (red) is signaled. The bands and fill zones remain colored until the opposite signal occurs, providing clear visual confirmation of the current momentum state.
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CUSTOMIZABLE INPUTS
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CALCULATION PARAMETERS:
- Price Source - Select which price data to use (default: close)
- Length - Period for SMA and standard deviation calculation (default: 10)
- Num Dev Up - Standard deviation multiplier for upper band (default: 0.8)
- Num Dev Down - Standard deviation multiplier for lower band (default: -0.8)
- Displace - Shift bands forward for projection analysis (default: 0)
DISPLAY OPTIONS:
- Colored Mobo - Enable/disable color-coded bands
- Colored Fill - Enable/disable fill zones between bands
- Break Arrows - Show/hide breakout and breakdown arrows
ALERT OPTIONS:
- Show Alerts - Enable/disable alert conditions
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USAGE GUIDE
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Watch for price to close outside the bands as potential breakout signals:
BULLISH BREAKOUT: Green arrow appears below the lower band when price closes above the upper band, indicating upward momentum shift.
BEARISH BREAKDOWN: Red arrow appears above the upper band when price closes below the lower band, indicating downward momentum shift.
The bands also serve as dynamic support and resistance levels. When bands are green, momentum is bullish. When bands are red, momentum is bearish.
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BEST PRACTICES
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- This indicator works well on liquid futures contracts (MNQ, MES, MYM, MGC, MCL) and major
currency pairs across multiple timeframes
- Lower deviation values (0.5-1.0) produce more frequent signals suitable for scalping
- Higher deviation values (1.5-2.5) filter for stronger breakouts ideal for swing trading
- Combine with volume indicators for additional confirmation
- Use with momentum oscillators to validate breakout strength
- Best results in trending market conditions
- Consider the overall market context and trend direction
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ALERT CONFIGURATION
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Configure custom alerts for automated notifications:
- "MoBo BreakOUT" - Triggers on bullish breakout signals
- "MoBo BreakDOWN" - Triggers on bearish breakdown signals
Set alerts to "Once Per Bar Close" for confirmed signals and avoid false triggers during bar development.
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IDEAL FOR
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- Day traders and scalpers on futures markets
- Swing traders looking for momentum shifts
- Breakout trading strategies
- Trend following systems
- Works on stocks, forex, crypto, and commodities
- Effective across multiple timeframes (1min to daily)
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Perfect for traders seeking clear visual breakout signals with minimal lag. The color-coded system and arrow markers make it easy to identify momentum changes at a glance.
© 2024 NPR21 | Mozilla Public License 2.0
Open-source script
NPR21
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by
VWAP + RVOL (Merged):
📊 VWAP + RVOL (Merged)
VWAP + RVOL (Merged) is a professional intraday trading indicator that combines:
Session VWAP to define institutional direction and fair value
True Intraday Relative Volume (RVOL) to measure real-time volume strength compared to the same minute over previous days
The script is specifically designed for U.S. equities and performs best in:
Premarket momentum
Opening Range Breakout (ORB)
VWAP pullbacks
Scalping & day trading
🔍 What does this indicator provide?
1️⃣ True Intraday RVOL
Calculates minute-accurate relative volume, comparing current volume to the same minute across a user-defined number of prior days
Correctly handles sessions crossing midnight (after-hours & premarket)
Displays RVOL in a separate pane for clean, noise-free analysis
Default RVOL reference levels:
0.5 → Weak volume
1.0 → Normal volume
1.5 → Strong volume
2.0 → Unusual / institutional activity
2️⃣ Session VWAP
True session-based VWAP
Identifies institutional fair value
Acts as a primary directional filter:
Above VWAP → Bullish bias
Below VWAP → Bearish bias
✅ Practical Trading Use
Long Setup:
Price above VWAP
RVOL ≥ 1.5
Light pullback or VWAP retest
Confirmation candle with increasing volume
Avoid trades when:
Price below VWAP
RVOL < 1.0
⚙️ Settings
RVOL Lookback Days – Number of days used for RVOL comparison (default: 5)
RVOL Reference Lines – Toggle RVOL levels on/off
VWAP Source – Price source for VWAP calculation
Hide VWAP on 1D+ – Optional VWAP hiding on higher timeframes
📌 Important Notes
Designed for intraday timeframes only (≥ 1 minute and < 1 day)
Requires volume data from the data provider
Not intended for daily or higher timeframes
🎯 Who is this indicator for?
Momentum traders
Day traders & scalpers
ORB and VWAP pullback strategies
Traders seeking volume confirmation before entry
⚠️ Disclaimer
This indicator is a decision-support tool, not a trading recommendation.
Always apply proper risk management.
Big Notional Volume Bubbles (Lower-TF Order Flow Approximation)Big Notional Volume Bubbles (Lower-TF Order Flow Approximation)
### Overview
This indicator visualizes large notional trading activity by scanning lower-timeframe candles inside each chart bar and highlighting periods where unusually high traded value (volume × price) occurs.
This script is intended to help short-term traders and scalpers identify bursts of aggressive activity, potential absorption zones, and areas of heightened participation, using standard OHLCV data.
Important: This indicator does not access true market order tape or DOM data. It is an approximation based on lower-timeframe OHLCV data provided by TradingView.
What the Indicator Shows
Each bubble represents a lower-timeframe candle where traded notional value exceeds a user-defined threshold.
Bubble size scales with the notional value of that candle.
Green bubbles indicate the lower-timeframe candle closed higher (buy-side pressure approximation).
Red bubbles indicate the lower-timeframe candle closed lower (sell-side pressure approximation).
Bubbles can be plotted at candle closes or wick extremes for contextual analysis.
How It Works
1. Lower-timeframe OHLCV data is requested using `request.security_lower_tf`.
2. Notional value is calculated as volume × price for each micro-candle.
3. The script selects the largest notional events per bar that exceed the minimum threshold.
4. These events are rendered as bubbles on the main price chart.
Intended Use Cases
Scalping and short-term trading
Momentum ignition and continuation analysis
Absorption and failed breakout detection
Effort versus result analysis
Confirmation at key structural levels
Recommended Settings
Lower timeframe: Start with 1 (1 minute). Seconds-based timeframes may not be supported on all feeds.
Minimum notional (USD/USDT):
BTC / ETH: 25,000 – 250,000
Mid-cap assets: 5,000 – 50,000
Adjust based on liquidity and volatility
Max bubbles per bar: 3–8 to avoid visual clutter
Limitations
This indicator does not display individual market orders or aggressor-side execution.
Buy/sell classification is inferred from candle direction, not bid/ask data.
Lower-timeframe data availability depends on the selected symbol and exchange feed.
This tool should not be used as a standalone signal generator.
Best Practices
Use in conjunction with market structure, VWAP, and key price levels.
Focus on price behavior after a bubble appears rather than the bubble itself.
Interpret bubbles as areas of interest, not directional guarantees.
My Price Curtain by @magasineMy Price Curtain by @magasine
Functional Description
My Price Curtain is a high-performance visual analysis tool designed to provide traders with immediate context regarding price positioning relative to institutional benchmarks. Unlike standard moving averages, this indicator creates a "curtain" of data that dynamically colors the chart background and provides real-time performance metrics to identify trend dominance at a glance.
Key Features & Differential Value
Multi-Method Dynamic Benchmarking: Choose between five different calculation methods: SMA, EMA, WMA, RMA, or a manual Fixed Price. This allows you to switch from a standard technical trend (MA) to a "break-even" or "entry point" analysis (Fixed Price) instantly.
Intelligent Visual Feedback: The "Curtain" logic automatically colors the chart background—Green for Bullish dominance and Red for Bearish dominance—reducing cognitive load during fast-paced sessions.
Advanced Statistical Tracking: The indicator includes a built-in Performance Table that tracks the percentage of bars closing above or below the selected benchmark. This helps traders quantify the strength of a trend over the entire visible dataset.
Precision Labeling & Distance Analysis: A dynamic, color-coded label tracks the price on the Y-axis. It calculates and displays the exact percentage distance from the price to the benchmark in real-time, helping to identify overextended moves.
Optional Deviation Zones: Enable visual "Safety Zones" (boxes) that project a user-defined percentage deviation from the average, assisting in identifying potential volatility expansion or exhaustion areas.
Trading Utilities
Trend Confirmation: Use the background color and "Bars Above" percentage to confirm if you are trading with the path of least resistance.
Scalping & Intraday Support: The "Distance" metric is essential for scalpers to avoid entering trades too far from the average (mean reversion risk).
Custom Strategy Benchmark: Use the "Fixed Price" mode to set your specific entry price and see your real-time performance and "curtain" status relative to your position.
