AQPRO ScalperX📝 INTRODUCTION
AQPRO ScalperX is a trading indicator designed for fast-paced, intraday trading. It uses Donchian channel breakouts, combined with a proprietary filtering system, to catch buy and sell opportunities as close to the beginning as possible without losing quality of the signals.
On top of core signals, ScalperX includes a real-time max profit tracker, a multi-timeframe (MTF) dashboard, support and resistance zones, and risk management visualization tools like automatic rendering of TP and SL lines. The indicator is fully customizable for both its visuals and functional settings.
🎯 PURPOSE OF USAGE
This indicator was initially designed with the idea of trying to make such a tool, that would be able to catch trend reversal in the most safe way. In this particular situation term 'safe way' is very abstract and it is up to interpretation, but we decided that our definition will be 'trading with price breakouts' , meaning that we would like to capitalize on price breaking its previous structure in the direction opposite to the previous one.
You can clearly see on the chart how buy and sell signals are going one after another on the screenshot below:
This ensures that we follow trend consistently and without missing out on potential profits. Just like they say: " let the winners run ".
Even though indicator with similar goals already exist in the open market, we believe that our proprietary algorithms and filters for determining price breakouts can make a big difference to traders, which employ similar strategies on daily basis, by helping them understand where are the potential high-quality breakouts might be. We haven't found indicator with exact same functionality as ours, which means that traders will be able to leverage an actually new tool to generate new price insights.
In short, main goals of this indicator are as follows:
Catching high-quality price breakouts, filtered to reduce the amount of choppy moves and false signals;
Tracking potential profits in real-time, directly on trader's chart;
Organizing data visualization of data pf latest signals from chosen asset from multiple timeframe in one dashboard;
Automated highlighting of key support and resistance zones on the chart, which serve as confirmation for main signals;
⚙️ SETTINGS OVERVIEW
Options for customization of this indicator are straightforward, but let's review them to make things certainly clear:
🔑 ScalperX / Main Settings
Range — defines the "wideness" of the breakout boxes. Higher values create wider breakout zones and impact breakout sensitivity;
Filter — adjusts the spacing between breakout boxes, determining the strictness of signal filtering. Higher values lead to more selective and rarer signals;
Show Max Profit — displays a real-time line and label that updates when a trade achieves a new peak profit, measured in ticks.
⏰ MTF Signal / Main Settings
Show MTF Signals — enables the generation of buy/sell signals from selected higher timeframes, displayed as labels on the current chart;
Timeframe — specifies the higher timeframe to use for MTF signal detection, such as 1 hour (1h) or 4 hours (4h).
🗂️ MTF Dashboard / Main Settings
Show MTF Dashboard — activates a dashboard that tracks entries, TP, SL, and overall trade bias for one selected symbol across four customizable timeframes;
* Dashboard position ( Vertical ) — adjusts whether the dashboard appears on the Top, Middle, or Bottom of the chart;
* Dashboard position ( Horizontal ) — aligns the dashboard Left, Center, or Right within the chart window;
* the name of the parameter is hidden in the settings
🗂️ MTF Dashboard / Ticker
Ticker to Track — Allows you to choose the specific ticker symbol (e.g., BINANCE:BTCUSDT) for MTF tracking.
🗂️ MTF Dashboard / Timeframes
* Timeframe 1 — set the first timeframe for multi-timeframe analysis (e.g., 15 minutes);
* Timeframe 2 — set the second timeframe for multi-timeframe analysis (e.g., 30 minutes);
* Timeframe 3 — set the third timeframe for multi-timeframe analysis (e.g., 1 hour);
* Timeframe 4 — set the fourth timeframe for multi-timeframe analysis (e.g., 4 hours).
* the name of the parameter is hidden in the settings
🛡️ Risk Management / Main Settings
Show TP&SL — displays dynamic lines and labels for the entry, Take Profit (TP), and Stop Loss (SL) of the most recent signal, updated in real-time until a new signal triggers;
Risk-to-Reward Ratio (R:R) — defines the ratio for TP and SL calculation to control your risk and reward on every trade.
📐 Support & Resistance / Main Settings
Show Support & Resistance Zones — enables dynamic zones based on pivot points, colored bullish or bearish based on price context;
History Lookback — defines the number of bars to consider when calculating support and resistance levels. Increasing this results in zones derived from longer-term price structures.
🎨 Visual Settings / ScalperX
Bullish Box — defines the color for bullish breakout boxes;
Bearish Box — defines the color for bearish breakout boxes;
Max Profit — sets the color for the max profit line on the chart.
🎨 Visual Settings / S&R
Support — defines color used for standard support zones;
Resistance — defines color used for standard resistance zones;
Strong Support — defines special color for zones classified as "strong support";
Strong Resistance — defines special color for zones classified as "strong resistance".
🎨 Visual Settings / MTF Dashboard
Bullish — sets the color for bullish trade states in the MTF dashboard;
Bearish — sets the color for bearish trade states in the MTF dashboard.
🔔 Alerts / Main Settings
Buy & Sell — toggles alerts for buy and sell signals detected by the indicator in the current chart timeframe;
MTF Buy & Sell — toggles alerts for buy and sell signals detected across the selected MTF timeframes.
📈 APPLICATION GUIDE
Application flow of this indicator very easy to understand and get used to, because all of the necessary elements — analysis, drawing, alert — are already automated by our algorithms. Let's review how the indicator works.
Let's start with the most basic thing — how will your indicator look when you load it on your chart for the first time:
AQPRO ScalperX consists mainly of 6 logic blocks:
ScalperX signals;
Risk visualization;
Max Profit tracking;
MTF scalper signals;
MTF dashboard;
Support & Resistance zones.
Description of each logic block is provided in the corresponding sections below.
SCALPERX SIGNALS
Signals, generated by our indicator, are shown on the chart as coloured up/down triangle. When a signal appears on the chart, indicator also create a box of length equal to 'Range' parameter from "Main Settings" group of settings. This box is intended to show which area of the price was broken by current candle.
It also important to acknowledge, the breakout itself happens only when price closes beyond broken price area with its close (!) price . Breakouts with highs or lows are not counted. This reduces the amount of low-quality signals and ensures that only the strong breakout will appear on the chart.
VERY IMPORTANT NOTE: all signals are considered valid only on the close of the candle, which triggered the signal, so if you want to enter a trade by any signal, wait for its candle to close and open your trade right on the next candle.
Talking about scalper's settings, we need to shed a light on how the changes in them affect signal's quality.
Parameter 'Range' defines the amount of bars, that will be review prior to current candle to determine wether the price area of this bars is good enough to track and if current candle actually broke this price area.
👍 Rule of thumb : the higher the 'Range' is, the "wider" the boxes. Also the with the increase of this parameter rises the lag of the signals, so be carefully with setting high values to this parameter.
See the visual showcase of signals with different 'Range' parameters on the screenshot below:
The example above features two instancies of ScalperX with two different 'Range' parameter values: 15 (leftchart) and 5 (right chart). You can clearly see, that on left chart here are 2 signals in comparison to 6 signals on right chart. Also signals on the left side have bigger lag and they don't catch the start of the move in comparison to how quickly tops and bottoms are catched with low 'Range' . However, low 'Range' will lead to excessive amount of signals, quality of which during 'whipsaw' markets is not that great.
✉️ Our advice on how to optimally set 'Range' parameter:
Use low values to trade during the times, when there are a lot of clean up and down impulses. This way you will catch reversal opportunities sooner and the quality of the signals will still be great;
Use high values on the 'whipsaw' markets. This will filter out many bad signals, that you would get with low-value 'Range' , and will drastically reduces amount of losing trades.
Talking about the 'Filter' parameter, this particular setting defines the 'strictness' of rules which will be applied to price area validation process. Essentially, the higher this parameter is, the stronger price impulse has to be confirm the breakout. However, changes in this parameter will not impact the "wideness" of boxes at all.
👍 Rule of thumb : the higher the 'Filter' is, the more separated the signal will be. Setting this parameter to high value will lead to increase in lag and big reduction in amount of signals, so be careful this parameter to high values.
See the visual showcase of signals with different 'Filter' parameters on the screenshot below:
The example above features two instancies of ScalperX with two different 'Filter' parameter values: 20 (left chart) and 2.5 (right chart). You can clear see, that low 'Filter' generated 6 signals, while higher one generated only 4 signals. However if you look closer, you will see that 2 signals, that existing in the yellow dashed area on the right chart, don't exist in the same area on the left chart. This is because high value of this parameter requires price impulse to be very strong in order for the indicator to mark this breakout as a valid one. What is more important is that these 2 'missing' signals were actually bad and, technically, we actually cut our losses in this case with high value of 'Filter' . You can see that the leftmost sell signal on the left chart eventually closed in a nice profit, in comparison to the same trade being closed in a loss on the right chart because of the 2 signals that we were talking about above.
It is important to note, that setting 'Filter' to low values will not affect performance this much as it low value of 'Range' do, because the indicator already works on low values of this parameter by default and the signals on average are already good enough for trading.
✉️ Our advice on how to optimally set 'Filter' parameter:
Use low values to trade on the markets with clean up and down impulses. This way you avoid excessive filtering and leave a room for good signals to come right at you;
Use high values to trade on 'whipsaw' markets. Higher values of this parameter on these markets have same effect as high 'Range' parameter: filtering false signals and leaving room for actually strong price impulses, which you will later capitalize on.
RISK VISUALIZATION (TP&SL)
Rendering Take-Profits and Stop-Losses in our indicator works quite simple: for each new trade indicator creates new pairs of lines and labels for TP and SL, while lines & labels from previous trade are erased for aesthetics purposes. Each label shows price coordinates, so that each trader would be able to grap the numbers in seconds.
See the visual showcase of TP & SL visualization on the screenshot below:
Also, whenever TP or SL of the current trade is reached, drawing of both TP and SL stops. When the TP is reached, additional '✅' emoji on the TP price is shown as confirmation of Take-Profit.
However, while TP or SL has not been reached, TP&SL labels and lines will be prolonged until one of them will be reached or new signals will come.
See the visual showcase of TP & SL stopping being visualized & TP on the screenshot below:
MAX PROFIT TRACKING
This mechanic is not particularly a new one in field of trading, but people usually forgot that it can be a useful indicator of state of the market:
when lines and labels of Max Profit are far from entry points on consistent basis , it usually means that indicator's signals actually can catch a beginning of good price moves, which enables trader to capitalize on them;
when lines and labels of Max Profit are close to entry points on consistent basis , it means that either market is choppy or the indicator can't catch trading opportunities in time. To 'fix' this you can try to reconfigure scalper's parameters, which were described above.
Principles of Max Profit in this indicator are of industry-standard: when price updates its extremum and 'generates' more profit than it previously did, Max Profit label and line change their position to this extremum. Max Profit label displays the maximum potential amount of profit that a trader could have got during this trade in pips (!) .
See the visual showcase of Max Profit work on the screenshot below:
MTF SCALPER SIGNALS
The principles of these signals are exactly the same as principles for classic Scalper signals. Refer to 'Scalper Signals' section above to rehearse the knowledge.
Logic behind these signals is very simple:
We take classic Scalper signals;
We request the data about these latest signals from specific other timeframe ( user can choose it in the settings );
If such signals appeared, we display it on the chart as a big label with timeframe value inside of it. In comparison to classic signals, no additional boxes are created . TP&SL functionality doesn't cover MTF signals, so don't expect to see TP&SL lines and labels for MTF signals.
See the visual showcase of MTF Scalper signals on the screenshot below:
MTF DASHBOARD
The functionality of the dashboard is pretty simple, but it makes the dashboard itself a very powerful tool in a hands of experienced trader.
Let's review structure of MTF dashboard on the screenshot below:
The important feature of MTF dashboard is that its tracks latest trade's data from a particular ticker and its four timeframes, all of which any trader chooses in the settings. This means, that you can be on asset ABC , but track the data from asset XYZ . This allows for a quick scan of sentiment from different assets and their timeframes, which gives traders a clue on what is the trend on these assets both on lower and higher timeframes at the same moment and saves a lot of time from jumping from one asset & timeframe to another.
To see that this is exactly the case with our indicator, see the screenshot below:
Needless to say, that you can track current asset in the dashboard as well. This will have the same benefits, described in the paragraph above.
You can also customize colours for bullish and bearish patterns for MTF Dashboard in the settings.
SUPPORT & RESISTANCE ZONES
Support & resistance (S&R) zones are a great tool for confirming Scalper signals in complex situations. Using these zones to determine whether or a particular entry opportunity is good is a practice of professional traders, which we specifically added to our indicator for the reason of improving the quality of Scalper signals in long run.
The mechanics behind these zones is based on pivot points, the lookback for which you can customize in the parameter called 'History Lookback (Bars)' in "Support & Resistance / Main Settings" group of settings. Increasing this parameter will lead to a appearance of more 'global' zones, but they will appear much rarer, rather then zones, generated with low values of this parameter.
The quality of these zones doesn't change much when changing this parameter — it only changes the frequency of the zones on the chart. Zones, generated from high values of this parameter are more suitable for long-term trading, while zones, generated from low value of this parameter, are more suitable for short-term trading.
It also important to mention that any zone on the chart is considered active only until the moment its farther border ( top border for resistance zones and bottom border for support zones) is reached by price's high or low .
Take a look on the screenshot below to see which zones does the indicator draw:
Let's review the zones themselves now:
Classic Support/Resistance Zone — a standard zone, which on average has amedium success rate to reverse the price when collided with it;
High-buyer-volume/High-seller-volume Support/Resistance Zone — a stronger zone, which on average has much better success rate to reverse the price when collided with it. Classic zone is marked as high-volume only if the up/down volume near the pivot point of this zone is greater than a certain threshold ( not changeable );
Extreme Support/Resistance Zone — a zone, which appeared beyond price's least-possible-to-cross levels, and has to the highest success rate of reversing the price on encounter across the zones, mentioned previously. Classic zone, which appeared beyond certain price levels, calculated with our proprietary risk system, is considered extreme. Classic zone doesn't need to be high-volume to become an Extreme Zone!
High-buyer-volume/High-seller-volume Extreme Support/Resistance Zone — an Extreme Zone, which has also passed up/down volume evolution process, mentioned in the point 2 .
Trading with the zones, mentioned above, with highest-on-paper success rate — especially Extreme Zones — does NOT guarantee you a price reversal when the price will reach this zone. However, by conducting our own extensive research with this indicator, we have found that using these zone will actually help you increase your success rate on average, because using these zones as confirmation systems filter out quite a number of false signals on average.
It is also important to mention, that opacity (same as 'transparency') of S&R zones depends on the volume of around zone's pivot point:
if volume is high , zone has 'brighter' (less opacity) colour;
if volume is low , zone has 'darker' (more opacity) colour.
Let's review examples of Scalper signal, which 1) where filtered out by our S&R zones and 2) where confirmed by our S&R zones. See the screenshot below:
The example above clearly shows the importance of having an S&R zone confirming the signal. This kind of 'team work' between of Scalper signals and S&R zones results in filtering lots of bad signals and confirmation of truly strong ones.
🔔 ALERTS
This indicator employs alerts for an event when new signal occurs on the current timeframe or on MTF timeframe. While creating the alert below 'Condition' field choose 'any alert() function call'.
When this alert is triggered, it will generate this kind of message:
// Alerts for current timeframe
string msg_template = "EXCHANGE:ASSET, TIMEFRAME: BUY_OR_SELL"
string msg_example = "BINANCE:BTCUSDT, 15m: Buy"
// Alerts for MTF timeframe
string msg_template_mtf = "MTF / EXCHANGE:ASSET, TIMEFRAME: BUY_OR_SELL"
string msg_example_mtf = "MTF / BINANCE:BTCUSDT, 1h: Buy"
📌 NOTES
This indicators works best on assets with high liquidity; most suitable timeframes range from 1m to 4h (depends on your trading style) ;
Seriously consider using S&R zones as confirmation to main Scalper signals or any of your own signals. Confirmation process may filter out a lot of signals, but your PNL History will say "thank you" to you in the long-run and you will see yourself how good confirmed signals actually do work;
Don't forget to look at MTF dashboard from time to time to see global sentiment. This will help you time your entry moments better and will improve your performance in the long run;
This indicator can serve both as primary source of signals and as confirmation tool, but we advise to try to combine it with your own strategy frst to see if it will improve your performance.
🏁 AFTERWORD
AQPRO ScalperX was designed to help traders identify high-quality price breakouts and generate market insights based on them, which include signal generation. Main feature of this indicator is Scalper algorithm, which generate price-breakout-based signals directly on your chart.
Alongside these signals you can leverage 1) MTF Dashboard to track latest trade's data from chosen asset and its four timeframes, 2) risk visualization functionality (TP&SL) to improve understanding of current market risks and 3) Support & Resistance zones, which serve as a great confirmation tool for Scalper signals, but can also work with any other signal generation tool to enhance its performance.
ℹ️ If you have questions about this or any other our indicator, please leave it in the comments.
Indicators and strategies
VIX Z-Score (Inverted)📘 Indicator: VIX Z-Score (Inverted) + Table
🔍 Overview
This indicator calculates the Z-Score of the VIX (Volatility Index) and inverts it to identify potential buying opportunities during periods of fear and caution during periods of extreme optimism. The Z-Score is smoothed and visually displayed alongside a dynamic info table.
⚙️ How It Works
VIX Data: The VIX (ticker: CBOE:VIX) is pulled in real time.
Z-Score Calculation:
𝑍
=
(
𝑉
𝐼
𝑋
−
mean
)
standard deviation
Z=
standard deviation
(VIX−mean)
Over a customizable lookback period (default: 50).
Inversion:
Since high VIX usually means fear (often a contrarian buying signal), we invert the Z-Score:
𝑍
inv
=
−
𝑍
Z
inv
=−Z
Smoothing:
An EMA is applied to reduce noise and false signals.
Clamping:
The Z-Score is linearly scaled and capped between +2 and -2 for easy visualization in the info table.
📊 Z-Score Table (Top-Right)
Range Interpretation Table Color
+1.5 to +2 Extreme fear → Buy zone 🟩 Green
+0.5 to +1.5 Moderate fear 🟨 Lime
–0.5 to +0.5 Neutral ⬜ Gray
–0.5 to –1.5 Growing complacency 🟧 Orange
–1.5 to –2 Extreme optimism → Caution 🟥 Red
The current Z-Score (clamped version) is shown in real time on the right-hand info panel.
🧠 How to Use It
+2 Zone (Table: Green):
Market fear is at an extreme. Historically, such conditions are contrarian bullish—possible entry zones.
–2 Zone (Table: Red):
Indicates extreme optimism and low fear. Often a signal to be cautious or take profits.
Middle range (±0.5):
Market is neutral. Avoid major decisions based solely on sentiment here.
🧪 Best Practices
Combine with price action, volume, or trend filters.
Works well on daily or 4H timeframes.
Not a standalone signal—best used to confirm or fade sentiment extremes.
SSRO Z-ScoreSSRO Z-Score Indicator — Description
What it does:
This indicator measures the Stablecoin Supply Ratio (SSR) relative to Bitcoin’s market cap and calculates a normalized Z-Score of this ratio to help identify potential market tops and bottoms in the crypto market.
How it works:
The Stablecoin Supply Ratio (SSR) is calculated by dividing Bitcoin’s market capitalization by the combined market capitalization of major stablecoins (USDT, USDC, TUSD, DAI, FRAX).
The SSR is then smoothed over a user-defined lookback period to reduce noise.
A Z-Score is computed by normalizing the SSR over a specified moving window, which shows how far the current SSR deviates from its historical average in terms of standard deviations.
This Z-Score is further smoothed using an exponential moving average (EMA) to filter short-term volatility.
How to read the Z-Score:
Z-Score = 0: SSR is at its historical average.
Z-Score > 0: SSR is above average, indicating Bitcoin’s market cap is relatively high compared to stablecoin supply, potentially signaling bullish market conditions.
Z-Score < 0: SSR is below average, indicating stablecoin supply is high relative to Bitcoin’s market cap, possibly signaling bearish pressure or increased liquidity waiting to enter the market.
Upper and Lower Bands: These user-defined levels (e.g., +2 and -2) represent thresholds for extreme conditions. Values above the upper band may indicate overbought or overheated market conditions, while values below the lower band may indicate oversold or undervalued conditions.
Additional Features:
A dynamic table displays a linear scaled Z-Score alongside the main plot, clamped between -2 and +2 relative to the upper and lower bands for intuitive interpretation.
Usage Tips:
Combine the SSRO Z-Score with other technical indicators or volume analysis for more reliable signals.
Look for divergence between price and Z-Score extremes as potential reversal signals.
Smoothed ROC Z-Score with TableSmoothed ROC Z-Score with Table
This indicator calculates the Rate of Change (ROC) of a chosen price source and transforms it into a smoothed Z-Score oscillator, allowing you to identify market cycle tops and bottoms with reduced noise.
How it works:
The ROC is calculated over a user-defined length.
A moving average and standard deviation over a separate window are used to standardize the ROC into a Z-Score.
This Z-Score is further smoothed using an exponential moving average (EMA) to filter noise and highlight clearer cycle signals.
The smoothed Z-Score oscillates around zero, with upper and lower bands defined by user inputs (default ±2 standard deviations).
When the Z-Score reaches or exceeds ±3 (customizable), the value shown in the table is clamped at ±2 for clearer interpretation.
The indicator plots the smoothed Z-Score line with zero and band lines, and displays a colored Z-Score table on the right for quick reference.
How to read it:
Values near zero indicate neutral momentum.
Rising Z-Scores towards the upper band suggest increasing positive momentum, possible market tops or strength.
Falling Z-Scores towards the lower band indicate negative momentum, potential bottoms or weakness.
The color-coded table gives an easy visual cue: red/orange for strong positive signals, green/teal for strong negative signals, and gray for neutral zones.
Use cases:
Identify turning points in trending markets.
Filter noisy ROC data for cleaner signals.
Combine with other indicators to time entries and exits more effectively.
S&P 500 Estimated PE (Sampled Every 4)📊 **S&P 500 Estimated PE Ratio (from CSV)**
This indicator visualizes the forward-looking estimated PE ratio of the S&P 500 index, imported from external CSV data.
🔹 **Features:**
- Real historical daily data from 2008 onward
- Automatically aligns PE values to closest available trading date
- Useful for macro valuation trends and long-term entry signals
📌 **Best for:**
- Investors interested in forward-looking valuation
- Analysts tracking over/undervaluation trends
- Long-term timing overlay on price action
Category: `Breadth indicators`, `Cycles`
Deviation over Deviation (DoD) (DAFE) Deviation over Deviation (DoD)
Let’s call it out: The vast majority of “volatility” tools on TradingView are just new wrappers on old math—ATR, bands, and basic deviation, all chasing the same tired after-the-fact moves. They’re built to describe the aftermath, not the ignition. If you’re still relying on these, you’re trading in the rearview mirror while the real edge is already gone. That’s not our game, and it shouldn’t be yours.
Deviation over Deviation (DoD) is built for one purpose:
To expose the hidden regime shifts—the moments when volatility itself becomes volatile, when the market’s “normal” deviation is no longer normal, and when the next move is about to erupt. This isn’t just another overlay. This is a quant-grade anomaly detector, engineered to show you the probability surface before the crowd even knows it’s changed.
What sets this apart:
Deviation over Deviation (DoD):
Not just “how much did price move,” but “how unusual is the current volatility compared to its own history?” This is the Z-score of Z-scores—a true rarity detector for market stress, lull, or impending breakout.
VoVix Integration:
Select VoVix as your source and you’re not just tracking price, but the volatility of volatility—the same math that powers institutional regime models. This is the edge that front-runs the move, not follows it.
Multi-Timeframe Comparative Engine:
Instantly compare current and higher timeframe DoD Z-scores. See when the micro and macro regimes align—or when they’re about to collide.
Professional, Adaptive Dashboard:
No cosmetic fluff, always showing you the real quant state: current DoD Z, HTF DoD Z, and regime warnings. Every color, every plot, every signal is a direct function of the logic—no distractions, no lag.
How this destroys the lag:
Standard deviation, ATR, and “volatility bands” are always late. They tell you what just happened. DoD and VoVix show you when the nature of volatility itself is changing—when the market is about to leave the old regime behind. This is the difference between trading the past and trading the future.
Inputs/Signals—explained for clarity:
Deviation Lookback & DoD Lookback:
Control the sensitivity and selectivity of the regime detector. Shorter = more signals, longer = only the rarest events.
Source Selection:
Choose from price, volume, volatility, or VoVix. Each source gives you a different lens on market stress. VoVix is for those who want to see the “regime quake” before the aftershocks.
HTF (Comparative Timeframe):
Set your higher timeframe for macro regime confirmation. When both DoD Z-scores align, you’re seeing a true market inflection.
VoVix Parameters:
Fine-tune the volatility-of-volatility engine for your market. Lower ATR Fast = more responsive; higher ATR Slow = more selective. Adjust for your asset, your timeframe, your edge.
Bottom line:
This isn’t just another “volatility” script. This is a regime anomaly detector, built for traders who want to anticipate, not react. Every input is there for a reason. Every plot is a direct readout of the quant logic. Use it to filter your entries, to time your exits, or to simply see the market’s hidden structure in real time.
Disclaimer:
Trading is risky. This script is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results.
*Updated the Dashboard/Metrics Display for better visibility
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
VWAP Z-Score Oscillator + Scaled TableVWAP Z-Score Oscillator + Scaled Table
This indicator calculates the Z-Score of the VWAP (Volume Weighted Average Price) based on your chosen source price and reset period (Session, Week, Month, Quarter, or Year).
The Z-Score represents how many standard deviations the current price is from the VWAP, visualized as an oscillator oscillating between ±3 sigma levels. The indicator also features three standard deviation bands for easy reference.
To enhance readability, a scaled Z-Score is displayed in a clean, minimalistic table on the top right of the indicator panel. This score is linearly capped between -2 and +2, mapping the raw Z-Score values with limits at ±3 sigma for clarity and quick assessment.
Use this tool to identify extreme deviations from the VWAP, which may signal potential reversals or continuation of price trends.
Gold ValuationGold Value Index
The Gold Value Index (GVI) is a macro-driven oscillator that estimates the relative value of gold based on real-time movements in the US Dollar Index (DXY) and the 10-Year US Treasury Yield (US10Y). It helps traders contextualize gold’s price within broader macroeconomic pressure — identifying when gold may be over- or undervalued relative to these key drivers.
How It Works – Macro Inputs:
DXY (US Dollar Index): Typically moves inversely to gold. A rising dollar suggests downward pressure on gold value.
US10Y Yield: Higher yields increase the opportunity cost of holding gold, often leading to weaker gold prices.
Both inputs are Z-score normalized and inverted to reflect their typical negative correlation with gold. When combined, they form a single, scaled index from 0 (undervalued) to 100 (overvalued).
Why Use This Tool?
Gold reacts to macro forces as much as technical ones. The GVI blends these inputs into a clear, visual gauge to:
Anticipate mean-reversion setups.
Avoid emotionally-driven trades in extreme macro conditions.
Enhance timing by understanding gold's macro context.
Important Notes:
Data sources include ICEUS:DXY and TVC:US10Y via TradingView.
Code is protected — this is a private, invite-only script.
Volume Spike Filter### Volume Spike Detector with Alerts
**Overview:**
This indicator helps traders quickly identify unusual spikes in trading volume by comparing the current volume against a simple moving average (SMA) threshold. It's particularly useful for beginners seeking clear signals of increased market activity.
**Settings:**
* **SMA Length:** Defines the period for calculating the average volume (default = 20).
* **Multiplier:** Determines how much the volume must exceed the SMA to be considered a spike (default = 1.5).
* **Highlight Spikes:** Toggle to visually highlight spikes on the chart (default = enabled).
**Signals:**
* 🟩 **Highlighted Background:** Indicates a volume spike that surpasses the defined threshold.
* 🏷️ **"Vol Spike" Label:** Clearly marks the exact bar of the spike for quick reference.
**Usage:**
Use these clear volume spike alerts to identify potential trading opportunities, confirmations, or shifts in market momentum. Combine this with other technical indicators for enhanced analysis.
Pivot Reversal Markers (3-bar strength)### Pivot Reversal Markers (3-Bar Strength)
**Overview:**
This indicator identifies and marks pivot high and pivot low reversal points on your chart using a customizable pivot strength. Ideal for traders seeking clear visual signals of potential reversals.
**Settings:**
* **Pivot Strength:** Number of bars checked before and after to confirm a pivot (default = 3).
**Signals:**
* 🔺 **Red Triangle (Pivot High):** Potential short entry or reversal from upward to downward trend.
* 🔻 **Green Triangle (Pivot Low):** Potential long entry or reversal from downward to upward trend.
**Usage:**
Combine these pivot signals with other technical analysis tools or indicators for optimal results.
CL Live lotsize ROOSTER📄 Description:
This is a utility script designed for manual futures traders who enter with market orders and want to size their positions precisely based on $ risk.
⚙️ Features:
✅ Calculates live contract size based on:
A fixed dollar risk amount (e.g. $100)
A manually set static stop-loss price
The live market price as your entry
✅ Uses a configurable risk-reward ratio (e.g. 1:3)
✅ Plots entry, stop, and target levels on the chart
✅ Displays calculated contract size as a floating label
🎯 Why this tool?
Built to support fast execution workflows , this tool helps traders who:
Enter trades at candle close or open
Want to pre-calculate their market order size before the signal
Prefer a visual, consistent, real-time R:R validation system
Avoid fumbling with the long/short position tool at the last second
🔧 Settings:
Static Stop-Loss Price: Enter the price level where you'd place your SL
Account Risk ($): How much you’re willing to risk per trade
Risk-Reward Ratio: Set your target multiplier (e.g. 3 for 3R)
Simplified STH-MVRV + Z-ScoreSimplified Short Term Holder MVRV (STH-MVRV) + Z-Score Indicator
Description:
This indicator visualizes the Short Term Holder Market Value to Realized Value ratio (STH-MVRV) and its normalized Z-Score, providing insight into Bitcoin’s market cycle phases and potential overbought or oversold conditions.
How it works:
The STH-MVRV ratio compares the market value of coins held by short-term holders to their realized value, helping to identify periods of profit-taking or accumulation by these holders.
The indicator calculates three versions:
STH-MVRV (MVRV): Ratio of current MVRV to its 155-day SMA.
STH-MVRV (Price): Ratio of BTC price to its 155-day SMA.
STH-MVRV (AVG): Average of the above two ratios.
You can select which ratio to display via the input dropdown.
Threshold Lines:
Adjustable upper and lower threshold lines mark significant levels where market sentiment might shift.
The indicator also plots a baseline at 1.0 as a reference.
Z-Score Explanation:
The Z-Score is a normalized value scaled between -3 and +3, calculated relative to the chosen threshold levels.
When the ratio hits the upper threshold, the Z-Score approaches +2, indicating potential overbought conditions.
Conversely, reaching the lower threshold corresponds to a Z-Score near -2, signaling potential oversold conditions.
This Z-Score is shown in a clear table in the top right corner of the chart for easy monitoring.
Data Sources:
MVRV data is fetched from the BTC_MVRV dataset.
Price data is sourced from the BTC/USD index.
Usage:
Use this indicator to assess short-term holder market behavior and to help identify buying or selling opportunities based on extremes indicated by the Z-Score.
Combining this tool with other analysis can improve timing decisions in Bitcoin trading.
Haniva ATRHaniva ATR Indicator
This indicator is fully based on ATR (Average True Range) calculations and is designed for analyzing behavior of price movement. It is tailored for traders who follow the BPM style.
Applications of the indicator:
1- Yellow candles represent inside bars, and you can trade them with inside bar hunt setup.
2- The ATR table calculates Average True Range values across multiple timeframes for better volatility assessment.
3- The Stop Loss & Target table provides suggested stop loss and target levels, dynamically calculated based on each timeframe’s ATR.
4- Long shadows (wicks) are highlighted in the chart, and their 50% zones are clearly marked to assist with identifying potential reversal or reaction points.
5- The indicator also defines key percentages used to determine the leg timeframe, helping traders align their setups with market structure.
CandelaCharts - Buyside & Sellside 📝 Overview
The Buyside & Sellside Liquidity Indicator is designed to identify and emphasize one of the foundational concepts within the ICT (Inner Circle Trader) trading methodology: liquidity levels.
This tool focuses on pinpointing key areas in the market where buy-side and sell-side liquidity is concentrated, providing traders with insights into potential price targets, reversal zones, and institutional order flow behavior.
By highlighting these liquidity zones, the indicator serves as a strategic aid in understanding market dynamics and enhancing decision-making in alignment with ICT principles.
📦 Features
Buyside & Sellside Liquidity
Invalidated Liquidity
Threshold
Styling
⚙️ Settings
Liquidity: Controls visibility of Bullish/Bearish Liquidity levels.
Invalidated: Displays the invalidated liquidity levels.
Levels: Controls the number of Liquidity levels that will be displayed.
Line Style: Customize the line style and width.
Threshold: Filter by swing points the Liquidity levels.
Labels: Control the Labels visibility.
⚡️ Showcase
Buyside & Sellside
Invalidated
🚨 Alerts
This script offers alert options for all signal types.
Bearish Signal
A bearish signal is generated when the price reaches a Buyside Liquidity level.
Bullish Signal
A bullish signal is generated when the price reaches a Sellside Liquidity level.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Simplified Hashrate Oscillator + Z-ScoreIndicator Description for TradingView
Simplified Hashrate Oscillator + Z-Score (SHO + Z)
This indicator analyzes the Bitcoin network's mining hashrate data by comparing short-term and long-term moving averages of the hashrate to create an oscillator that reflects changes in mining activity.
How it works:
The indicator calculates two Simple Moving Averages (SMAs) of the Bitcoin network hashrate — a short-term SMA (default 21 days) and a long-term SMA (default 105 days).
The difference between these two averages is normalized and expressed as a percentage, forming the Hashrate Oscillator line.
Two user-defined threshold lines (default ±7%) are plotted as upper and lower reference levels on the oscillator.
When the oscillator approaches these levels, it indicates potential extremes in mining activity.
Z-Score Explanation:
The Z-Score is a normalized measure that translates the oscillator's current value into a standardized scale roughly ranging from -2 to +2.
It shows how far the current hashrate oscillator value deviates from the user-defined thresholds.
A Z-Score near +2 means the oscillator is close to or above the upper threshold (possible overbought conditions).
A Z-Score near -2 means the oscillator is near or below the lower threshold (possible oversold conditions).
This helps users assess the relative strength or weakness of the mining hashrate movement in a normalized context.
Data Source:
The hashrate data is sourced daily from the Bitcoin network hashrate dataset provided by Quandl (QUANDL:BCHAIN/HRATE), a reliable blockchain data provider.
The indicator requests daily hashrate values and calculates SMAs accordingly.
How to use:
Watch the Hashrate Oscillator line for movements towards or beyond the threshold lines as signals of miner capitulation or recovery phases.
Use the Z-Score displayed in the table to quickly gauge how extreme the current reading is relative to set thresholds.
Adjust the short and long SMA periods and threshold lines to suit your preferred sensitivity and trading timeframe.
SP 500 PE Ratio (Loose Date Match)📈 **S&P 500 PE Ratio (from Excel Data)**
This custom indicator visualizes the historical S&P 500 Price-to-Earnings (PE) Ratio loaded from Excel. Each data point represents a snapshot of the market valuation at a specific time, typically on an annual or quarterly basis.
🔹 **What it does:**
- Plots the PE ratio values on the chart aligned with historical dates
- Uses stepwise or linear rendering to account for missing trading days
- Helps identify valuation cycles and extremes (e.g., overvalued vs undervalued)
🔍 **Use case:**
- Long-term market analysis
- Compare PE trends with price performance
- Spot long-term entry/exit zones based on valuation
🛠️ Future plans:
- Add value zone highlighting (e.g., PE > 30 = red, PE < 15 = green)
- Support for dynamic datasets (via Google Sheets or Notion)
Category: `Breadth indicators`, `Cycles`
💡 Source: Manually imported data (can be replaced with any custom macro data series)
UNITED TRADING COMMUNITY WaterMarkWATER MARK indicator. Will allow you to improve the order of the entries you need on the chart.
1. Name and date for the traded instrument
2. Watermarks to protect your charts (in the center and around the perimeter of the chart)
3. The new "notes" option will allow you to keep focus on the factors that are important to you on the chart.
Very flexible settings for any notes, labels, watermarks on the chart that are important to you.
Индикатор WATER MARK . Даст возможность вам улучшить порядок нужных вам записей на графике.
1. Название и дата для торгуемого инструмента
2. Водные знаки для защиты ваших графиков ( в центре и по периметру графика)
3. Новая опция "заметки" позволит вам держать фокус на важных для вас факторах на графике.
Очень гибкая настройка , любых значимых для вас заметок , лейблов , вотермарк на графике.
Prev Day High/Low - RTH OnlyThis indicator displays the previous day’s Regular Trading Hours (RTH) high and low levels on your chart, but only during the next day’s RTH session — keeping your charts clean while highlighting the most relevant price zones.
🔧 Features:
RTH Timing: 09:30 to 16:00 (New York time)
Auto-Detection: Automatically tracks the high and low of each RTH session
Next-Day Visibility: Lines are only shown during the following day’s RTH session
Minimal Chart Clutter: Levels disappear after the session ends, keeping focus on what's relevant
Clear Labels: Optional “Prev High” and “Prev Low” markers at market open
📊 Use Case:
Perfect for intraday and 0DTE options traders who rely on prior session key levels for:
Breakout trades
Reversal setups
Support/resistance confluence
These levels are often respected by institutions and algo flows, making them highly actionable when approached in the next RTH session.
🧠 Why This Matters:
Many traders overpopulate their charts with persistent support/resistance lines. This script keeps only what’s essential — the previous day’s RTH range — and only when it matters most: the following day’s active market hours.
Trader’s One-Liner Reminder⚠️ このインジケーターは日本語でのメッセージ表示に特化しています。英語でのリマインドは含まれていません。
This script displays reminders only in Japanese.
【日本語説明】
本インジケーターは、日本時間（JST）8:00〜翌1:00までの時間帯に合わせて、15分刻みで一言メッセージを表示します。
トレード中の焦りや過信を防ぐための心理的リマインダーとして設計されています。
- 「Frankモード」では、関西弁風のユーモアあるメッセージを自動表示
- 「Customモード」では、全時間帯のメッセージを自分で自由に設定可能
- メッセージはチャート上部中央に、大きな文字・黄色背景で表示され、視認性にも配慮
💡ポジポジ病対策、メンタル強化、時間管理などに最適です。
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【English Description】
This indicator displays motivational reminders in Japanese every 15 minutes from 8:00 JST to 1:00 JST (the next day).
It is designed to support traders mentally during market hours.
- “Frank mode” automatically shows prewritten humorous messages (in Kansai dialect tone)
- “Custom mode” lets users input their own message for each 15-minute time block
- Messages are shown in large text at the top-center of the chart with a yellow background for clear visibility
💡 Ideal for discipline, overtrading prevention, and improving trading psychology.
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🔔 This indicator is intended for Japanese-speaking users. If you'd like an English version, feel free to fork and customize it!
Custom EMA Zone1. Overview
The Custom EMA Cloud Indicator is a technical analysis tool designed to visually display a dynamic zone (or cloud) between two user-defined EMAs. It supports different EMA lengths and allows users to calculate these EMAs using custom timeframes. This flexibility makes it a powerful tool for identifying trends, key price zones, and potential trade signals.
2. Components of the Indicator
2.1. Exponential Moving Averages (EMAs)
EMA 1 (Faster EMA): Calculated using a shorter period (e.g., 21).
EMA 2 (Slower EMA): Calculated using a longer period (e.g., 50).
Users can customize the periods for both EMAs.
2.2. Timeframe Customization
Each EMA can be calculated using a higher timeframe than the chart’s timeframe (e.g., calculate EMA 50 on a 1-hour chart while viewing on a 5-minute chart).
This feature allows users to incorporate higher timeframe trend context into lower timeframe charts.
2.3. Cloud Zone
The cloud is the shaded area between EMA 1 and EMA 2.
Color Logic:
Light Green: Price opens and closes above both EMAs (bullish momentum).
Light Red: Price opens and closes below both EMAs (bearish momentum).
3. How to Use the Indicator
3.1. Trend Identification
When the entire price action is above the cloud, it signals a probable uptrend.
When the entire price action is below the cloud, it indicates a probable downtrend.
When the price is inside the cloud, it reflects probable market consolidation or indecision.
4. Use Cases in Trading Styles
4.1. Scalping
Use short EMAs (e.g., EMA 5 and EMA 13) on 1-minute or 3-minute charts.
Ideal for quick entries and exits during strong momentum moves.
4.2. Swing Trading
Use longer EMAs (e.g., EMA 21 and EMA 50) on 4-hour or daily charts.
Helps capture trend continuation over multiple days.
4.3. Trend Following
Combine with RSI or MACD to confirm trend strength before entering trades.
Stay in the trade as long as price respects the cloud direction.
5. Advantages
Visual Clarity: Simplifies decision-making with clearly defined zones.
Multi-Timeframe Insight: Offers a higher timeframe trend reference.
Customizable: Fits various strategies through adjustable EMAs and timeframes.
6. Limitations
Lagging Nature: As with all moving averages, there may be lag during fast reversals.
False Signals in Sideways Markets: May produce whipsaws during consolidation
The VoVix Experiment The VoVix Experiment
The VoVix Experiment is a next-generation, regime-aware, volatility-adaptive trading strategy for futures, indices, and more. It combines a proprietary VoVix (volatility-of-volatility) anomaly detector with price structure clustering and critical point logic, only trading when multiple independent signals align. The system is designed for robustness, transparency, and real-world execution.
Logic:
VoVix Regime Engine: Detects pre-move volatility anomalies using a fast/slow ATR ratio, normalized by Z-score. Only trades when a true regime spike is detected, not just random volatility.
Cluster & Critical Point Filters: Price structure and volatility clustering must confirm the VoVix signal, reducing false positives and whipsaws.
Adaptive Sizing: Position size scales up for “super-spikes” and down for normal events, always within user-defined min/max.
Session Control: Trades only during user-defined hours and days, avoiding illiquid or high-risk periods.
Visuals: Aurora Flux Bands (From another Original of Mine (Options Flux Flow): glow and change color on signals, with a live dashboard, regime heatmap, and VoVix progression bar for instant insight.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 15 min (but works on all timeframes)
Order size: Adaptive, 1–2 contracts
Session: 5:00–15:00 America/Chicago (default, fully adjustable)
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for MNQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Forward Testing: (This is no guarantee. I've provided these results to show that executions perform as intended. Test were done on Tradovate)
ALL TRADES
Gross P/L: $12,907.50
# of Trades: 64
# of Contracts: 186
Avg. Trade Time: 1h 55min 52sec
Longest Trade Time: 55h 46min 53sec
% Profitable Trades: 59.38%
Expectancy: $201.68
Trade Fees & Comm.: $(330.95)
Total P/L: $12,576.55
Winning Trades: 59.38%
Breakeven Trades: 3.12%
Losing Trades: 37.50%
Link: www.dropbox.com
Inputs & Tooltips
VoVix Regime Execution: Enable/disable the core VoVix anomaly detector.
Volatility Clustering: Require price/volatility clusters to confirm VoVix signals.
Critical Point Detector: Require price to be at a statistically significant distance from the mean (regime break).
VoVix Fast ATR Length: Short ATR for fast volatility detection (lower = more sensitive).
VoVix Slow ATR Length: Long ATR for baseline regime (higher = more stable).
VoVix Z-Score Window: Lookback for Z-score normalization (higher = smoother, lower = more reactive).
VoVix Entry Z-Score: Minimum Z-score for a VoVix spike to trigger a trade.
VoVix Exit Z-Score: Z-score below which the regime is considered decayed (exit).
VoVix Local Max Window: Bars to check for local maximum in VoVix (higher = stricter).
VoVix Super-Spike Z-Score: Z-score for “super” regime events (scales up position size).
Min/Max Contracts: Adaptive position sizing range.
Session Start/End Hour: Only trade between these hours (exchange time).
Allow Weekend Trading: Enable/disable trading on weekends.
Session Timezone: Timezone for session filter (e.g., America/Chicago for CME).
Show Trade Labels: Show/hide entry/exit labels on chart.
Flux Glow Opacity: Opacity of Aurora Flux Bands (0–100).
Flux Band EMA Length: EMA period for band center.
Flux Band ATR Multiplier: Width of bands (higher = wider).
Compliance & Transparency
* No hidden logic, no repainting, no pyramiding.
* All signals, sizing, and exits are fully explained and visible.
* Backtest settings are stricter than most real accounts.
* All visuals are directly tied to the strategy logic.
* This is not a mashup or cosmetic overlay; every component is original and justified.
Disclaimer
Trading is risky. This script is for educational and research purposes only. Do not trade with money you cannot afford to lose. Past performance is not indicative of future results. Always test in simulation before live trading.
Proprietary Logic & Originality Statement
This script, “The VoVix Experiment,” is the result of original research and development. All core logic, algorithms, and visualizations—including the VoVix regime detection engine, adaptive execution, volatility/divergence bands, and dashboard—are proprietary and unique to this project.
1. VoVix Regime Logic
The concept of “volatility of volatility” (VoVix) is an original quant idea, not a standard indicator. The implementation here (fast/slow ATR ratio, Z-score normalization, local max logic, super-spike scaling) is custom and not found in public TradingView scripts.
2. Cluster & Critical Point Logic
Volatility clustering and “critical point” detection (using price distance from a rolling mean and standard deviation) are general quant concepts, but the way they are combined and filtered here is unique to this script. The specific logic for “clustered chop” and “critical point” is not a copy of any public indicator.
3. Adaptive Sizing
The adaptive sizing logic (scaling contracts based on regime strength) is custom and not a standard TradingView feature or public script.
4. Time Block/Session Control
The session filter is a common feature in many strategies, but the implementation here (with timezone and weekend control) is written from scratch.
5. Aurora Flux Bands (From another Original of Mine (Options Flux Flow)
The “glowing” bands are inspired by the idea of volatility bands (like Bollinger Bands or Keltner Channels), but the visual effect, color logic, and integration with regime signals are original to this script.
6. Dashboard, Watermark, and Metrics
The dashboard, real-time Sharpe/Sortino, and VoVix progression bar are all custom code, not copied from any public script.
What is “standard” or “common quant practice”?
Using ATR, EMA, and Z-score are standard quant tools, but the way they are combined, filtered, and visualized here is unique. The structure and logic of this script are original and not a mashup of public code.
This script is 100% original work. All logic, visuals, and execution are custom-coded for this project. No code or logic is directly copied from any public or private script.
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
Twlv's CRT IndicatorHow It Works
The CRT Indicator operates by analyzing the size, structure, and relationship of candlesticks to uncover market dynamics. It follows the A-M-D (Accumulation-Manipulation-Distribution) framework:
Accumulation: Detects consolidation phases where price forms a range (often with inside bars).
Manipulation: Identifies false breakouts or “turtle soup” setups, where price sweeps a high/low but closes within the prior candle’s range.
Distribution: Signals the true market move, such as breakouts or reversals, confirmed by price action.
For example:
Bullish CRT Pattern: A bearish candle is followed by a candle that sweeps the low but closes higher within the first candle’s range, plotted with a green triangle to indicate a potential buy signal.
Bearish CRT Pattern: A bullish candle is followed by a candle that sweeps the high but closes lower within the first candle’s range, marked with a red triangle for a potential sell signal.
The indicator also supports customizable settings, such as timeframe selection, line styles, and alert conditions, to suit individual trading strategies.
Dskyz (DAFE) GENESIS Dskyz (DAFE) GENESIS: Adaptive Quant, Real Regime Power
Let’s be honest: Most published strategies on TradingView look nearly identical—copy-paste “open-source quant,” generic “adaptive” buzzwords, the same shallow explanations. I’ve even fallen into this trap with my own previously posted strategies. Not this time.
What Makes This Unique
GENESIS is not a black-box mashup or a pre-built template. It’s the culmination of DAFE’s own adaptive, multi-factor, regime-aware quant engine—built to outperform, survive, and visualize live edge in anything from NQ/MNQ to stocks and crypto.
True multi-factor core: Volume/price imbalances, trend shifts, volatility compression/expansion, and RSI all interlock for signal creation.
Adaptive regime logic: Trades only in healthy, actionable conditions—no “one-size-fits-all” signals.
Momentum normalization: Uses rolling, percentile-based fast/slow EMA differentials, ALWAYS normalized, ALWAYS relevant—no “is it working?” ambiguity.
Position sizing that adapts: Not fixed-lot, not naive—not a loophole for revenge trading.
No hidden DCA or pyramiding—what you see is what you trade.
Dashboard and visual system: Directly connected to internal logic. If it’s shown, it’s used—and nothing cosmetic is presented on your chart that isn’t quantifiable.
📊 Inputs and What They Mean (Read Carefully)
Maximum Raw Score: How many distinct factors can contribute to regime/trade confidence (default 4). If you extend the quant logic, increase this.
RSI Length / Min RSI for Shorts / Max RSI for Longs: Fine-tunes how “overbought/oversold” matters; increase the length for smoother swings, tighten floors/ceilings for more extreme signals.
⚡ Regime & Momentum Gates
Min Normed Momentum/Score (Conf): Raise to demand only the strongest trends—your filter to avoid algorithmic chop.
🕒 Volatility & Session
ATR Lookback, ATR Low/High Percentile: These control your system’s awareness of when the market is dead or ultra-volatile. All sizing and filter logic adapts in real time.
Trading Session (hours): Easy filter for when entries are allowed; default is regular trading hours—no surprise overnight fills.
📊 Sizing & Risk
Max Dollar Risk / Base-Max Contracts: All sizing is adaptive, based on live regime and volatility state—never static or “just 1 contract.” Control your max exposures and real $ risk. ATR will effect losses in high volatility times.
🔄 Exits & Scaling
Stop/Trail/Scale multipliers: You choose how dynamic/flexible risk controls and profit-taking need to be. ATR-based, so everything auto-adjusts to the current market mode.
Visuals That Actually Matter
Dashboard (Top Right): Shows only live, relevant stats: scoring, status, position size, win %, win streak, total wins—all from actual trade engine state (not “simulated”).
Watermark (Bottom Right): Momentum bar visual is always-on, regime-aware, reflecting live regime confidence and momentum normalization. If the bar is empty, you’re truly in no-momentum. If it glows lime, you’re riding the strongest possible edge.
*No cosmetics, no hidden code distractions.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 1 min (but works on all timeframes)
Order size: Adaptive, 1–3 contracts
No pyramiding, no hidden DCA
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Why It Wins
While others put out “AI-powered” strategies with little logic or soul, GENESIS is ruthlessly practical. It is built around what keeps traders alive:
- Context-aware signals, not just patterns
- Tight, transparent risk
- Inputs that adapt, not confuse
- Visuals that clarify, not distract
- Code that runs clean, efficient, and with minimal overfitting risk (try it on QQQ, AMD, SOL, etc. out of the box)
Disclaimer (for TradingView compliance):
Trading is risky. Futures, stocks, and crypto can result in significant losses. Do not trade with funds you cannot afford to lose. This is for educational and informational purposes only. Use in simulation/backtest mode before live trading. No past performance is indicative of future results. Always understand your risk and ownership of your trades.
This will not be my last—my goal is to keep raising the bar until DAFE is a brand or I’m forced to take this private.
Use with discipline, use with clarity, and always trade smarter.
— Dskyz , powered by DAFE Trading Systems.
REVELATIONS (VoVix - PoC) REVELATIONS (VoVix - POC): True Regime Detection Before the Move
Let’s not sugarcoat it: Most strategies on TradingView are recycled—RSI, MACD, OBV, CCI, Stochastics. They all lag. No matter how many overlays you stack, every one of these “standard” indicators fires after the move is underway. The retail crowd almost always gets in late. That’s never been enough for my team, for DAFE, or for anyone who’s traded enough to know the real edge vanishes by the time the masses react.
How is this different?
REVELATIONS (VoVix - POC) was engineered from raw principle, structured to detect pre-move regime change—before standard technicals even light up. We built, tested, and refined VoVix to answer one hard question:
What if you could see the spike before the trend?
Here’s what sets this system apart, line-by-line:
o True volatility-of-volatility mathematics: It’s not just "ATR of ATR" or noise smoothing. VoVix uses normalized, multi-timeframe v-vol spikes, instantly detecting orderbook stress and "outlier" market events—before the chart shows them as trends.
o Purist regime clustering: Every trade is enabled only during coordinated, multi-filter regime stress. No more signals in meaningless chop.
o Nonlinear entry logic: No trade is ever sent just for a “good enough” condition. Every entry fires only if every requirement is aligned—local extremes, super-spike threshold, regime index, higher timeframe, all must trigger in sync.
o Adaptive position size: Your contracts scale up with event strength. Tiny size during nominal moves, max leverage during true regime breaks—never guesswork, never static exposure.
o All exits governed by regime decay logic: Trades are closed not just on price targets but at the precise moment the market regime exhausts—the hardest part of systemic trading, now solved.
How this destroys the lag:
Standard indicators (RSI, MACD, OBV, CCI, and even most “momentum” overlays) simply tell you what already happened. VoVix triggers as price structure transitions—anyone running these generic scripts will trade behind the move while VoVix gets in as stress emerges. Real alpha comes from anticipation, not confirmation.
The visuals only show what matters:
Top right, you get a live, live quant dashboard—regime index, current position size, real-time performance (Sharpe, Sortino, win rate, and wins). Bottom right: a VoVix "engine bar" that adapts live with regime stress. Everything you see is a direct function of logic driving this edge—no cosmetics, no fake momentum.
Inputs/Signals—explained carefully for clarity:
o ATR Fast Length & ATR Slow Length:
These are the heart of VoVix’s regime sensing. Fast ATR reacts to sharp volatility; Slow ATR is stability baseline. Lower Fast = reacts to every twitch; higher Slow = requires more persistent, “real” regime shifts.
Tip: If you want more signals or faster markets, lower ATR Fast. To eliminate noise, raise ATR Slow.
o ATR StdDev Window: Smoothing for volatility-of-volatility normalization. Lower = more jumpy, higher = only the cleanest spikes trigger.
Tip: Shorten for “jumpy” assets, raise for indices/futures.
o Base Spike Threshold: Think of this as your “minimum event strength.” If the current move isn’t volatile enough (normalized), no signal.
Tip: Higher = only biggest moves matter. Lower for more signals but more potential noise.
o Super Spike Multiplier: The “are you sure?” test—entry only when the current spike is this multiple above local average.
Tip: Raise for ultra-selective/swing-trading; lower for more active style.
Regime & MultiTF:
o Regime Window (Bars):
How many bars to scan for regime cluster “events.” Short for turbo markets, long for big swings/trends only.
o Regime Event Count: Only trade when this many spikes occur within the Regime Window—filters for real stress, not isolated ticks.
Tip: Raise to only ever trade during true breakouts/crashes.
o Local Window for Extremes:
How many bars to check that a spike is a local max.
Tip: Raise to demand only true, “clearest” local regime events; lower for early triggers.
o HTF Confirm:
Higher timeframe regime confirmation (like 45m on an intraday chart). Ensures any event you act on is visible in the broader context.
Tip: Use higher timeframes for only major moves; lower for scalping or fast regimes.
Adaptive Sizing:
o Max Contracts (Adaptive): The largest size your system will ever scale to, even on extreme event.
Tip: Lower for small accounts/conservative risk; raise on big accounts or when you're willing to go big only on outlier events.
o Min Contracts (Adaptive): The “toe-in-the-water.” Smallest possible trade.
Tip: Set as low as your broker/exchange allows for safety, or higher if you want to always have meaningful skin in the game.
Trade Management:
o Stop %: Tightness of your stop-loss relative to entry. Lower for tighter/safer, higher for more breathing room at cost of greater drawdown.
o Take Profit %: How much you'll hold out for on a win. Lower = more scalps. Higher = only run with the best.
o Decay Exit Sensitivity Buffer: Regime index must dip this far below the trading threshold before you exit for “regime decay.”
Tip: 0 = exit as soon as stress fails, higher = exits only on stronger confirmation regime is over.
o Bars Decay Must Persist to Exit: How long must decay be present before system closes—set higher to avoid quick fades and whipsaws.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 1 min (but works on all timeframes)
Order size: Adaptive, 1–3 contracts
No pyramiding, no hidden DCA
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Tip: Set to 1 for instant regime exit; raise for extra confirmation (less whipsaw risk, exits held longer).
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Bottom line: Tune the sensitivity, selectivity, and risk of REVELATIONS by these inputs. Raise thresholds and windows for only the best, most powerful signals (institutional style); lower for activity (scalpers, fast cryptos, signals in constant motion). Sizing is always adaptive—never static or martingale. Exits are always based on both price and regime health. Every input is there for your control, not to sell “complexity.” Use with discipline, and make it your own.
This strategy is not just a technical achievement: It’s a statement about trading smarter, not just more.
* I went back through the code to make sure no the strategy would not suffer from repainting, forward looking, or any frowned upon loopholes.
Disclaimer:
Trading is risky and carries the risk of substantial loss. Do not use funds you aren’t prepared to lose. This is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results.
Expect more: We’ll keep pushing the standard, keep evolving the bar until “quant” actually means something in the public code space.
Use with clarity, use with discipline, and always trade your edge.
— Dskyz , for DAFE Trading Systems
