Aquila Reale Price Monitor vs 1.4 @giua64🦅 Aquila Reale — Price Monitor
A single-panel macro dashboard built to keep the bond market and the US dollar under control at a glance, so you never trade gold (or indices) blind to what is actually driving them.
Instead of jumping between ten tabs, this table pulls together every cross-asset driver that moves XAU/USD and risk assets, and refreshes on the last bar:
🏦 Yields & Dollar — DXY, the full US Treasury curve (2Y, 5Y, 10Y, 30Y), 10Y breakeven inflation, and WTI crude. Daily % change is colour-coded so you instantly see who is pushing and in which direction.
🥇 Gold Zone — the part that matters most for a gold trader:
10Y Real Yield (10Y minus breakeven) with a configurable threshold flagging when the real rate is supportive or hostile for gold.
10Y-2Y spread showing whether the curve is normal or inverted.
Gold Bias — an intraday read scored from the two main drivers (2Y and DXY): when both fall, bias is gold-positive; when both rise, gold-negative.
Steepener — tells you not just that the curve is widening, but why: a 2Y-led move (bull steepener, gold-positive) versus a 10Y-led move (bear steepener, gold-negative).
📈 Futures — Gold, Silver, S&P, Nasdaq, Dow and DAX, to read overall risk appetite.
🇪🇺 Eurozone — Bund and BTP 10Y plus the BTP-Bund spread in basis points, with a stress flag for European risk.
😱 Volatility — VIX as the fear gauge.
Everything is configurable: symbols, text size, table position with fine horizontal/vertical offset, bias sensitivity and the real-yield threshold. No repainting tricks — it simply reports daily and intraday change from the underlying instruments.
Built to monitor and keep yields in check before pulling the trigger.
🦅 Aquile Reali, Nate per volare, nate per osare. Indicator
Multiday Retracement & extension levels
This indicator is designed to help traders identify key retracement and extension levels based on a combined price range from multiple previous trading days. Instead of relying on a single day's high and low, the script allows users to combine the ranges of up to 10 previous days, creating a broader market structure that can be useful for identifying support, resistance, breakout targets, and extension zones.
Features
• Combines the high-low range of multiple previous trading days (1–10 days selectable)
• Optional Gap-Adjusted Range calculation that incorporates significant price gaps into the reference range
• Displays retracement and extension levels from -200% to +300%
• Customizable colors for:
0% and 100% boundary levels
Internal range levels (0% to 100%)
External extension zones (below 0% and above 100%)
• Customizable line styles, line widths, label sizes, and label offsets
• Automatic percentage relabeling when price moves beyond the 100% range boundary
• Optional Gap Filling Candle Display for improved visual continuity of price action
How It Works
The script calculates the highest high and lowest low across the selected number of previous trading days. This combined range becomes the basis for all retracement and extension levels.
When Gap Adjustment is enabled, the indicator attempts to include significant overnight or inter-session gaps within the reference range, helping traders account for price movement that may not be fully represented by traditional high-low calculations.
The resulting levels can be used for:
• Identifying potential support and resistance zones
• Measuring retracements within a multi-day trading range
• Projecting extension targets after breakouts
• Evaluating market structure across several trading sessions
Gap Filling Candles
An optional gap-filling candle mode is included. When enabled, candle opens can be adjusted to the previous close, visually removing gaps and allowing traders to analyze continuous price movement more easily.
Acknowledgements
Special thanks to author **Echepata** for providing inspiration and reference ideas related to the gap-filling candle implementation used in this script. Their work helped contribute to the development of the gap visualization component included here.
Notes
This indicator is intended as a market structure and reference tool. Retracement and extension levels should be used alongside price action, volume analysis, and a trader's existing methodology rather than as standalone trading signals.
Indicator
XLY/XLP Equal-Weight RatioThe Equal-Weight Discretionary/Staples Ratio measures the ratio between two equal-weighted ETFs from Invesco: the S&P 500 Equal Weight Consumer Discretionary ETF (RSPD) and the S&P 500 Equal Weight Consumer Staples ETF (RSPS). It is the equal-weighted counterpart to the well-known XLY/XLP ratio, which measures the same two sectors using the cap-weighted SPDR funds Consumer Discretionary Select Sector SPDR Fund (XLY) and Consumer Staples Select Sector SPDR Fund (XLP). This ratio is used by traders and investors as a measure of the relative strength of the consumer discretionary sector versus the consumer staples sector.
Why equal-weighted (RSPD/RSPS) instead of cap-weighted (XLY/XLP)?
In the standard cap-weighted XLY, a handful of mega-cap names dominate the fund — most notably Tesla and Amazon, which together can account for a very large share of XLY's value. As a result, the cap-weighted XLY/XLP ratio often tells you more about the price action of those few heavyweights than about the broad consumer discretionary sector. By using the equal-weighted RSPD and RSPS, every company in each sector contributes roughly the same weight. This removes the distortion from individual giants like Tesla and produces a cleaner, broader read on the underlying breadth of consumer behavior — i.e., how the average discretionary company is doing relative to the average staples company, rather than how Tesla is doing. This makes the equal-weighted ratio a more representative gauge of true risk-on/risk-off sentiment across the consumer economy.
A higher ratio indicates that consumer confidence is higher and people are more willing to spend their money on non-essential items, such as entertainment or luxury goods (discretionary spending). A lower ratio, on the other hand, indicates that consumer confidence is lower and people are gravitating toward essential items like food and household goods (staple spending).
The interpretation of the ratio depends on the current market situation and the analysis of the economic and political factors that may influence consumption. If the ratio rises, it could be an indication of a growing economy and increasing consumer sentiment. However, if it falls, it could be an indication of a weakening economy or declining consumer confidence.
It is important to note that this indicator should not be used as the sole basis for making trading decisions. It is advisable to also consider other indicators, such as technical and fundamental analysis, before making a decision. Indicator
Indicator
Trend Pullback Signals*Trend Pullback Signals**
A clean, rules-based BUY/SELL signal tool built on one of the most durable ideas in trading: trade pullbacks in the direction of the higher-timeframe trend, only during high-participation hours, with a fixed stop and defined targets. No clutter, no guessing — the chart tells you the trend, the window, and the exact level for your stop and targets.
**How it works**
Three filters have to line up before a signal fires:
- **Trend** — the indicator reads a higher timeframe (default 30m) and only allows longs when that timeframe is above a rising EMA, shorts when it's below a falling one. When the higher timeframe is flat, it stays silent.
- **Window** — signals are limited to a session window you choose (default 08:30–10:30 Central), so you skip the low-participation chop.
- **Pullback reclaim** — in an uptrend, price has to pull back to VWAP (or an EMA) and then close back above it; the mirror applies in a downtrend.
When all three align, a BUY or SELL prints on the bar close, and three lines are drawn automatically: a stop placed beyond the recent swing (red dashed), Target 1 at 1.5R (green dotted), and Target 2 at 3R (green dashed). A suggested management approach is to take partial profit at Target 1, move the stop to breakeven, and let the remainder run toward Target 2.
**On-chart guidance**
The background tints green or red to show the active trend direction, and shades the trade window in blue, so you can see at a glance why a signal is or isn't allowed. A status box summarizes the current trend, whether the window is open, and whether a trade is active. Only one signal runs at a time — a new one won't appear until the current one resolves at its stop or Target 2 — which keeps the chart readable.
**Repaint disclosure**
Signals print on bar close and do not repaint — once a BUY or SELL appears, it stays on that bar, and the stop and target levels are fixed at entry. The higher-timeframe trend filter is non-repainting: it reads the last *closed* higher-timeframe bar, so no future data is used. Stop and target lines extend forward as the trade stays open; that is the active trade being tracked, not the signal moving.
**Key settings**
- *Trend timeframe / EMA length* — the higher timeframe and moving average that define direction.
- *Trade window / Timezone* — when signals are allowed.
- *Pullback reference* — VWAP or EMA.
- *Stop basis, lookback, buffer* — how the stop is placed.
- *Target 1 / Target 2 (R)* — where the profit targets sit relative to risk.
**How to use**
Trade only in the direction the trend tint allows, only while the window is open. When a signal fires, the stop and targets are already drawn — manage partials at Target 1 and trail or exit the rest at Target 2. The signal tells you when conditions align; your risk management does the rest.
A clean chart of past signals always looks good in hindsight. Before risking real capital, forward-test on a simulator and confirm the targets actually fill the way the lines suggest. This is an analysis tool, not financial advice — trends and edges change with market conditions. Trade your own plan and manage your risk.
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Want a one-line preview hook for the top? Something like "Trade pullbacks with the trend, only when the odds favor it — BUY/SELL signals with stops and targets built in" reads well as the scroll-by line if you publish it publicly. Indicator
Indicator
Cyclical Peak Macro Composite█ OVERVIEW
Cyclical Peak Macro Composite is a macro and valuation signal panel that tracks a set of independent conditions historically associated with late-cycle equity market peaks and reports the share of them that are currently active. It plots in a separate pane as a single column series, % Triggered , the percent of counting signals that meet their trigger condition, alongside a status table that summarizes each individual signal.
In one sentence: when a majority of independent macro, credit, and valuation conditions seen near prior market peaks are simultaneously active, the late-cycle environment is more elevated than when few of them are.
█ HISTORY / BACKGROUND
The practice of monitoring a fixed panel of macro, valuation, credit, and sentiment signposts for equity market peaks comes from sell-side equity strategy research, which publishes periodic checklists scoring how many of a set of conditions are active relative to prior peaks. This script implements only the subset of such a checklist whose inputs exist as data on PulseWire, substitutes documented proxies where the original series are proprietary, and omits the signals that have no public feed and no faithful proxy rather than approximating them with unrelated data.
The component methods have established lineage:
• Term spread. The difference between a long and a short Treasury yield is a standard cycle reference. A negative 10Y minus 2Y spread, an inverted curve, has been present ahead of prior downturns.
• Rule of 20. A long standing market heuristic that sums the trailing price to earnings ratio and the year over year inflation rate, treating a value near 20 as a fair value reference and higher readings as richer valuation.
• High yield option adjusted spread. The ICE BofA US High Yield index OAS, distributed through FRED, is a widely used gauge of credit risk pricing. Unusually tight spreads are read here as complacency, not stress.
• Senior Loan Officer Opinion Survey (SLOOS). The Federal Reserve survey of bank lending standards. A positive net reading indicates tightening credit availability.
• Consumer sentiment. The University of Michigan survey, used as an optional proxy for a different consumer confidence series in the original checklist.
The conceptual basis is that these conditions tend to cluster near cyclical peaks, so counting how many are active gives a coarse read on where the cycle sits. The specific composite arrangement is third party research; this script is an independent reconstruction of its available subset.
█ HOW IT WORKS
The script reads external macro series through request.security and does not use the chart symbol's price in any calculation, so its output is identical on any chart and depends only on the chart timeframe. Every lookback is specified in months and converted to a bar count for the active resolution by round(months times seconds per month divided by seconds per bar), clamped between 1 and 5000 bars, so each window holds its intended calendar duration across resolutions.
It evaluates up to six signals:
• Yield curve inversion. Requests the 10Y and 2Y yield symbols at the chart timeframe and takes their spread. Active if the spread was below zero at any point within the latch window, tested with a rolling maximum of the inverted condition.
• Credit complacency. Requests the high yield OAS series. Active if the spread was below the tight spread threshold at any point within the latch window. The direction is deliberate: a low spread is the peak signal.
• Rule of 20. Computes the year over year change of monthly CPI and adds it to a trailing P/E value, which is a manual input by default or a symbol sourced value if enabled. It then takes a rolling z-score of that sum over the z-score lookback and is active when the z-score exceeds its trigger.
• Value versus growth. Requests a value proxy and a growth proxy at the chart timeframe and computes the difference of their returns over the return window, in percentage points. Active when the value proxy trails the growth proxy by more than the underperformance trigger.
• SLOOS net tightening. Requests the SLOOS series at a quarterly resolution. Active when the net reading is above zero. Counts only when included and when its data resolves.
• Consumer sentiment (optional). Takes a rolling z-score of the sentiment series over the z-score lookback and is active when it exceeds the sentiment trigger. Counts only when enabled and when its data resolves.
The denominator is dynamic. Four core signals always count, plus SLOOS when active, plus sentiment when active. % Triggered is 100 times the number of active triggers divided by the number of counting signals. Any series whose data does not resolve returns na and is excluded from both numerator and denominator rather than scored as off.
█ HOW TO USE
Add the script to any chart. The chart symbol is irrelevant because all inputs are requested macro series. Read the column height as the percent of counting signals currently triggered. The dashed line marks the composite alert threshold and the dotted line marks the 50 percent midline. The column is gray below 50, orange at or above 50, and red at or above the alert threshold.
The status table in the top right lists each signal with a state of ON, off, or n/a. ON is shown in red because in this context an active signal is a late-cycle condition rather than a healthy one, off is green, and n/a means the signal is disabled or its data did not resolve and it is not counting. The header cell repeats the current percent.
Recommended timeframe: the script is built for the daily resolution and higher, and is cleanest on monthly. CPI, SLOOS, and sentiment are requested at monthly or quarterly resolution and mapped onto the chart's bars, so on a monthly chart one bar corresponds to one source observation and the z-score statistics are exact. On intraday resolutions the month to bar conversion saturates at the 5000 bar clamp and the windows no longer span the intended number of months, so intraday use is not advised.
The diagnostic series, namely the spread, the OAS, the Rule of 20 level and z-score, the SLOOS reading, the value minus growth return, and the sentiment z-score, are not drawn on the pane. They are available in the Data Window for inspection.
█ SETTINGS
Yield Curve
• 10Y yield symbol: long rate symbol for the term spread. Default US10Y.
• 2Y yield symbol: short rate symbol. Default US02Y.
Credit (HY OAS complacency)
• HY OAS symbol: the high yield option adjusted spread series. Default FRED:BAMLH0A0HYM2.
• Tight spread threshold (%): the level below which the spread is treated as complacent. Default 3.5.
Rule of 20 (P/E + CPI YoY)
• Trailing S&P 500 P/E: the manual trailing P/E used when the symbol feed is off. Default 22.
• Feed P/E from a symbol: when on, sources the P/E from a symbol instead of the manual value. Default off.
• P/E symbol (trailing): the symbol used when the feed is enabled. Default SP:SPX.
• Z-score lookback (months): the window for the Rule of 20 and sentiment z-scores. Default 120, minimum 12.
• Z-score trigger (>): the Rule of 20 z-score level that activates the signal. Default 1.
Value / Growth (low-PE vs high-PE proxy)
• Value proxy symbol: the value style proxy. Default AMEX:SPYV.
• Growth proxy symbol: the growth style proxy. Default AMEX:SPYG.
• Return window (months): lookback for the relative return. Default 6, minimum 1.
• Underperformance trigger (pp): how far the value proxy must trail the growth proxy to activate. Default 2.5.
SLOOS (bank lending)
• Include SLOOS: whether the SLOOS signal counts. Default on.
• SLOOS net tightening symbol: the lending standards series. Default FRED:DRTSCILM.
Consumer sentiment (optional, low fidelity)
• Include sentiment proxy: whether the sentiment signal counts. Default off.
• Sentiment symbol: the sentiment series. Default FRED:UMCSENT.
• Sentiment z-score trigger (>): the z-score level that activates the signal. Default 1.
Composite
• Latch window for prior signals (months): the lookback over which the yield curve and credit signals count as active if their condition occurred at any point inside it. Default 6, minimum 1.
• Composite alert threshold (%): the percent at which the alert condition and red coloring engage. Default 70.
█ WHAT MAKES IT ORIGINAL
This is not a wrapper around other indicators and reuses no third party signal code. It computes each condition directly from primary macro and valuation series and combines them with three specific design choices:
• Honest scope. It implements only the checklist signals that have real PulseWire data, omits the proprietary and unavailable ones outright, and labels the two proxies it uses as proxies. The value and growth style spread stands in for a low P/E versus high P/E basket, and the optional University of Michigan z-score stands in for a different consumer confidence index. The percent reading is therefore not comparable to the source checklist's percent, which is computed over a larger set of signals.
• Deliberate credit direction. The credit signal fires on tight spreads, not wide ones, because the underlying idea is complacency near a peak rather than stress. This inverts the intuitive reading and is stated rather than hidden.
• Calendar anchored windows and graceful degradation. Every lookback is expressed in months and converted to bars for the current resolution, so latch and z-score windows keep their duration across timeframes, and any series that fails to resolve drops out of the denominator instead of being scored as off.
█ NOTES / LIMITATIONS
• Symbol independent. The composite ignores the chart symbol entirely. Every input is requested through request.security , so changing the chart instrument does not change the output. Only the chart timeframe matters.
• Timeframe sensitivity. Built for daily and higher, best on monthly. On intraday resolutions the month to bar conversion is clamped at 5000 bars and the windows no longer span the intended months, so the latch and z-score logic are not valid intraday.
• Data availability. The macro series depend on PulseWire's data catalog and on your data access. SLOOS is quarterly, heavily lagged, and may not resolve in the FRED catalog. The OAS, CPI, and sentiment series are likewise subject to availability. Unresolved series return na and are excluded. The value and growth proxy symbols use an exchange prefix that may need changing to match your data.
• Insufficient history. The z-scores require their full lookback of observations before they return a value. Until then the Rule of 20 and sentiment signals are na and do not count. The value versus growth signal requires history at least as long as its return window on both proxies, otherwise it returns na.
• Economic data revisions. CPI, SLOOS, and sentiment are released with a lag and can be revised, so the most recent readings may change as the source updates. No bar level lookahead is used. The requests run with default settings and the latch references only historical values.
• Static manual P/E. If the trailing P/E is left as a manual constant, the Rule of 20 z-score reduces to a z-score of inflation plus a constant, since the only varying term is CPI. Enabling a symbol sourced trailing P/E restores the intended behavior.
• Correlated signals. These macro and valuation conditions tend to move together late in a cycle, so the percent reading reflects fewer independent pieces of information than the raw signal count suggests. Indicator
Gold Macro Bias TableGold Macro Bias Table
Gold Macro Bias Table is designed to provide a fast, structured and multi-dimensional overview of the current gold market environment. The main goal is to help traders quickly assess how different macroeconomic, intermarket, risk, volatility, volume and technical factors are currently aligned.
Gold is influenced by many different drivers. Real yields, the US dollar, Treasury yields, bond-market behavior, foreign exchange dynamics, silver, gold miners, credit markets, volatility and technical momentum can all affect price behavior. Instead of analyzing every related market separately, this indicator brings the most relevant inputs together in one compact dashboard.
The indicator is not intended to predict future price movement. It is a decision-support tool that helps traders understand whether the current market background is more supportive, neutral or opposing for gold.
Data Sources and Market Inputs
The script uses PulseWire market data based on the symbols selected in the settings. The default symbols can be adjusted by the user.
Real Yield:
The real yield input is used to represent inflation-adjusted interest-rate pressure. Rising real yields are generally negative for gold because they increase the opportunity cost of holding a non-yielding asset. Falling real yields are generally supportive for gold.
DXY:
The US Dollar Index is used as a broad measure of US dollar strength. A stronger dollar is usually a headwind for gold, while a weaker dollar can support gold prices.
US10Y and US02Y:
US Treasury yields are used to measure interest-rate pressure across different parts of the yield curve. Rising yields can pressure gold, while falling yields can support gold, especially when combined with a weaker US dollar.
TLT:
TLT is used as a proxy for long-duration US Treasury bonds. Strength in TLT often reflects falling long-term yields, which can be supportive for gold.
USDJPY:
USDJPY is included as a rate-sensitive and dollar-sensitive FX input. A rising USDJPY can often reflect stronger US rate pressure or broader US dollar strength, which may be negative for gold.
Silver:
Silver is used as a precious-metals confirmation factor. Strength in silver can confirm broader demand for precious metals, while weakness may indicate a lack of confirmation.
GDX:
GDX represents gold miners. Miner strength can confirm institutional appetite for the gold sector, while miner weakness can warn that gold strength is not broadly supported.
VIX:
The VIX is used as a volatility and risk-sentiment input. Higher volatility can increase safe-haven demand, but very elevated volatility also means higher trading risk.
HYG:
HYG is used as a credit-risk proxy. Strength in high-yield credit usually points to more risk-on conditions, while weakness can indicate stress in credit markets.
Scoring and Weighting
The table compares each selected input with its moving average and assigns a score depending on whether the current condition is considered supportive or opposing for gold.
The score values and weightings are fully adjustable in the settings. This allows each trader to adapt the model according to personal experience, trading style and individual interpretation of how important each factor is for the current market environment.
The total score is displayed as the Macro Gold Bias.
Volatility
The volatility section compares the current ATR percentage with its own average. This helps identify whether the market is currently calm, normal, elevated or extreme. The volatility reading is used as additional context, especially when market conditions become unstable or risk expands quickly.
Volume and Delta
The volume section provides a quick overview of session volume, estimated session ask volume, estimated session bid volume and estimated session delta.
The intraday delta values for 1m, 5m, 15m and 1h are calculated from the available PulseWire chart data. These values are not true exchange bid/ask volume and should not be interpreted as real order-book flow.
They are tick-volume-based approximations designed to give the trader a practical feeling for current market behavior, volume pressure and whether recent activity appears more buy-side or sell-side dominated.
Average Volume and Delta
The average row compares the current session and intraday delta behavior with configurable lookback periods. The session average volume lookback and the delta lookbacks for 1m, 5m, 15m and 1h can be adjusted in the settings.
This helps put current activity into context instead of relying on isolated volume or delta values.
Technical Gold Bias
The technical section uses PulseWire’s built-in Technical Ratings, often known from the PulseWire Technical Rating gauge. It combines information from multiple moving averages and oscillators into a normalized technical reading.
This separates the technical condition of gold from the broader macro and intermarket environment.
Market Regime
The market regime section classifies the current environment into broader categories such as:
Safe Haven
Yield Pressure
Dollar Pressure
Inflation Hedge
Yield Relief
Mixed
This gives additional context behind the raw score and helps explain why the current environment may be supportive, opposing or mixed for gold.
Final Gold Bias
The final bias combines the macro score, technical rating, market regime and volatility context into one final interpretation. It is designed to provide a fast overview of whether current conditions are bullish, bearish, mixed or high risk.
Trend Strength
The trend strength score ranges from -10 to +10. It combines macro direction, technical direction and market regime support into a simple strength reading.
A positive value indicates a more supportive environment for gold, while a negative value indicates a more opposing environment.
Price Movement Alerts
The indicator includes configurable price movement alerts for gold and the selected macro symbols.
The purpose of these alerts is not to generate buy or sell signals. They are designed as warning signals when one or more monitored symbols exceed the user-defined percentage threshold.
This can be useful because related markets do not always react at the same speed. Some symbols may move earlier and provide a warning that the market environment is changing, while others may react later. These alerts can help traders recognize fast market movement, unstable conditions or situations where it may be necessary to reduce exposure or step out of the market.
PulseWire alerts can be configured through the normal PulseWire alert menu. Depending on the user’s PulseWire settings, notifications can be sent by app, pop-up, email, webhook or other available alert actions.
Important Note
This indicator is not a standalone trading system and does not provide financial advice. It should be used together with price action, market structure, risk management and personal trade planning.
All readings depend on the selected symbols, the active data feed, the chosen timeframes and the user-defined settings.
Indicator
Indicator
HTF Candle Footprint [Cartel Console]# HTF Candle Footprint
HTF Candle Footprint is a higher-timeframe volume and delta visualization tool designed to help traders analyze the internal composition of a selected higher-timeframe candle directly on the chart.
The indicator reconstructs a footprint-style profile inside a dynamically generated higher-timeframe candle, allowing users to examine how volume and directional pressure were distributed throughout the candle's range. By combining volume distribution, delta estimation, Point of Control (POC), and higher-timeframe candle structure into a single visualization, traders can gain additional context about market participation and price acceptance within significant trading periods.
Unlike traditional volume profiles that focus on extended historical ranges, this indicator concentrates on the currently developing or recently completed higher-timeframe candle. This approach enables users to study how volume accumulates across price levels while simultaneously monitoring the relationship between bullish and bearish activity inside the candle body.
### Key Features
• Higher-Timeframe Candle Reconstruction
Displays a custom-rendered higher-timeframe candle directly on the chart, including body and wick structure.
• Integrated Footprint Visualization
Shows estimated buying and selling pressure across individual price levels within the selected higher-timeframe range.
• Volume Distribution Profile
Builds a horizontal volume profile that highlights where the greatest amount of trading activity occurred during the analyzed period.
• Delta-Based Pressure Analysis
Calculates directional volume estimates and displays positive and negative pressure zones using color-coded footprint cells.
• Point of Control (POC) Detection
Automatically identifies and plots the highest-volume price level within the profile.
• Dynamic High and Low Levels
Marks the extreme boundaries of the analyzed higher-timeframe candle for additional market structure reference.
• Real-Time Higher-Timeframe Bias Dashboard
Provides a compact dashboard showing the current directional bias of the selected higher-timeframe candle.
• Multi-Timeframe Support
Analyze volume and pressure behavior across Hourly, 4-Hour, Daily, Weekly, and Monthly structures.
### How Traders Use It
Many traders use higher-timeframe candles as key reference points for trend analysis, support and resistance identification, liquidity observations, and contextual decision-making. HTF Candle Footprint enhances this process by exposing the internal volume distribution of those candles.
Potential use cases include:
• Identifying high-participation price zones
• Observing areas of price acceptance and rejection
• Comparing volume concentration against candle structure
• Locating potential reaction levels around the Point of Control
• Studying directional pressure within higher-timeframe ranges
• Adding additional context to multi-timeframe analysis workflows
### Notes
This indicator uses volume-based calculations and visual approximations derived from chart data. The displayed footprint and delta values are analytical tools intended to provide additional market context and should not be interpreted as financial advice or guaranteed trading signals.
HTF Candle Footprint is designed as a visual analysis aid and can be used alongside existing price action, volume, market structure, and risk management methodologies.
Indicator
Derivatives Expected Move Volatility Bands [v2]Derivatives Expected Move Volatility Bands
Overview
Derivatives Expected Move Volatility Bands is a volatility-based projection tool designed to estimate the likely upside and downside price range over a selected number of future candles.
The indicator uses recent realised volatility to calculate an expected move from the current market price. It then plots forward-looking volatility levels at **±1σ, ±2σ, and ±3σ** from the selected anchor price.
This is not a traditional moving average, oscillator, or buy/sell indicator. It is a **risk, volatility, and scenario-planning tool**. It helps traders understand whether the current market is trading within a normal expected range, approaching an extended zone, or operating in an extreme-volatility regime.
The logic is inspired by derivatives pricing concepts, where volatility and time are used to estimate the probable distribution of future prices.
What the Indicator Shows
The indicator plots forward expected-move levels from the current price.
Anchor Line
The Anchor is the current price used as the base for the projection. By default, this is the latest closing price.
The projected bands are calculated above and below this anchor.
+1σ and -1σ Levels
The 1 standard deviation bands represent the normal expected move over the selected time horizon.
In practical terms, these levels show where price could reasonably trade if recent volatility conditions persist.
+2σ and -2σ Levels
The 2 standard deviation bands represent a more extended move.
A move toward or beyond these levels suggests that the market is trading outside its normal short-term range and may be entering a stronger momentum or stress condition.
+3σ and -3σ Levels
The 3 standard deviation bands represent extreme move zones.
These are useful for stress testing, event-risk planning, and identifying unusually large moves. They should not be treated as automatic reversal levels.
How the Expected Move Is Calculated
The indicator estimates realised volatility from recent log returns.
The expected move is then calculated as:
Expected Move = Price × Realized Volatility × √Time Horizon
Where:
- Price = selected anchor price
- Realized Volatility = volatility calculated from recent price changes
- Time Horizon = the number of future bars selected by the user
For example, on a 1-hour chart with a horizon of 20 bars, the indicator estimates the expected move over the next 20 hourly candles.
Dashboard Explanation
The indicator includes a dashboard with the following fields:
Vol Regime
Shows the current volatility regime based on the percentile rank of realised volatility.
Possible regimes:
- Low Vol
- Normal Vol
- High Vol
- Extreme Vol
This helps traders understand whether the market is calm, active, volatile, or in a stress regime.
RV Annualized
Shows the current realised volatility annualised using the selected bars-per-year setting.
This is useful for comparing volatility across assets and timeframes.
Vol Percentile
Shows where current volatility ranks compared to its recent history.
For example:
- A percentile near 20% means volatility is low relative to recent history.
- A percentile near 80% means volatility is high.
- A percentile above 90% suggests an extreme volatility regime.
Expected Move
Shows the projected move as a percentage of price over the chosen horizon.
Expected Move Abs
Shows the expected move in absolute price terms.
For FX pairs, this can be interpreted approximately as the number of pips depending on the instrument.
Projection Anchor
Shows the price level used as the base for the forward projection.
Vol Direction
Shows whether realised volatility is currently:
- Expanding
- Contracting
- Flat
This is important because an extended price move with expanding volatility often behaves differently from an extended move with contracting volatility.
How to Use the Indicator
1. Use It for Forward Price Range Planning
The main use of the indicator is to answer:
Based on current volatility, how far could price reasonably move over the next selected number of candles?
For example, if EUR/USD is trading at 1.1520 and the 20-bar expected move is 0.45%, the indicator will project upside and downside levels around that price.
This can help with:
- Trade planning
- Target setting
- Stop placement
- Event-risk preparation
- Volatility regime analysis
- Avoiding unrealistic price expectations
2. Use 1σ Levels for Normal Movement
The ±1σ levels are the most useful for normal trading conditions.
Price moving toward a 1σ level suggests that it is making a meaningful move, but not necessarily an extreme one.
Common uses:
- Identify realistic intraday or swing targets
- Estimate normal retracement zones
- Avoid entering trades with poor reward-to-risk
- Compare current price action to recent volatility
3. Use 2σ Levels for Extension and Stress
The ±2σ levels represent stronger price movement.
When price approaches or breaks a 2σ level, traders should assess whether the move is:
- A genuine momentum expansion
- A news-driven volatility shock
- An exhaustion move
- A liquidity sweep
- A stop-run beyond normal range
A move outside 2σ should not automatically be faded. Strong markets can continue beyond expected ranges, especially when volatility is expanding.
4. Use 3σ Levels for Extreme Risk Planning
The ±3σ levels are not everyday trading targets.
They are better used for:
- Stress scenarios
- Major event planning
- CPI, NFP, FOMC, central bank decisions
- Crypto liquidation events
- Geopolitical volatility
- Large FX repricing events
If the price reaches a 3σ level, the market is moving in an unusually large way relative to recent volatility.
5. Combine Price Location with Volatility Direction
The most important part of the indicator is not just where the price is, but whether volatility is expanding or contracting.
Momentum Expansion
If price is moving outside the 1σ or 2σ range while volatility is expanding, the market may be entering a momentum phase.
This can support breakout or trend-continuation logic.
Exhaustion or Mean-Reversion Risk
If the price is extended beyond the bands while volatility is contracting, the move may be losing energy.
This can suggest exhaustion risk, but confirmation is still required from price action.
Compression
If volatility is low and the bands are narrow, the market may be in a compression regime.
Compression does not predict direction, but it can warn that a larger move may be building.
Trading Interpretations
Momentum Use Case
A bullish momentum condition may develop when:
- Price trades above the anchor
- Price pushes toward or beyond +1σ
- Volatility is expanding
- Market structure supports continuation
A bearish momentum condition may develop when:
- Price trades below the anchor
- Price pushes toward or beyond -1σ
- Volatility is expanding
- Market structure supports continuation
In these conditions, traders may use the bands as forward targets or risk zones.
Mean-Reversion Use Case
Mean-reversion traders should avoid blindly fading every touch of a band.
A better approach is to wait for confirmation, such as:
- Price moves outside ±2σ
- Price then closes back inside the band
- Volatility stops expanding
- A reversal candle or structure shift appears
- The move fails to continue
The re-entry back inside the band is often more important than the initial band touch.
Breakout Use Case
The indicator can also help with breakout analysis.
A breakout has higher quality when:
* Price breaks beyond the 1σ level
* Volatility is expanding
* Price does not immediately return to the anchor
* The move aligns with higher-timeframe structure
A breakout is weaker when:
* Price breaks the band but volatility contracts
* Price immediately returns inside the expected range
* The breakout occurs into a major opposing level
* Liquidity is poor or event risk is unresolved
Event-Risk Use Case
The indicator is useful before major events such as:
* CPI
* NFP
* FOMC
* ECB decisions
* BoE decisions
* Central bank speeches
* Major crypto events
* Earnings for stocks
* Geopolitical shocks
Before an event, traders can use the projected bands to estimate reasonable upside and downside scenarios.
After the event, traders can observe whether price remains inside the expected range or reprices beyond it.
Recommended Settings
FX 1-Hour Chart
Suggested settings:
* Volatility Lookback: **30 to 50**
* Horizon Bars: **20 to 24**
* Bars Per Year: **6240**
* Projection Anchor: **Close**
This works well for pairs such as:
* EUR/USD
* GBP/USD
* USD/JPY
* AUD/USD
* USD/CAD
* USD/ZAR
## Crypto 1-Hour Chart
Suggested settings:
* Volatility Lookback: 50 to 100
* Horizon Bars: 24
* Bars Per Year: 8760
* Projection Anchor: Close
Crypto trades continuously, so a higher bars-per-year input is more appropriate.
Daily Chart
Suggested settings:
* Volatility Lookback: 20 to 30
* Horizon Bars: 5 to 20
* Bars Per Year: 252 for traditional markets
* Bars Per Year: 365 for crypto
Daily settings are useful for swing trading and weekly scenario planning.
Intraday Index Trading
Suggested settings:
* Volatility Lookback: 50 to 100
* Horizon Bars: 12 to 48
* Bars Per Year: depends on the chart timeframe and trading session
For 5-minute charts, users should adjust the bars-per-year setting based on the number of active trading bars in a year.
## Practical Trading Workflow
A simple workflow:
1. Select your market and timeframe.
2. Set the expected move horizon.
3. Check the volatility regime.
4. Check whether volatility is expanding or contracting.
5. Observe whether price is near the anchor, 1σ, 2σ, or 3σ.
6. Use 1σ and 2σ levels for target and risk planning.
7. Avoid blindly fading extreme moves during expanding volatility.
8. Look for re-entry or structure confirmation before mean-reversion trades.
9. Use the bands together with market structure, trend, liquidity, and macro context.
What the Indicator Is Best For
This indicator is best used for:
* Expected move analysis
* Volatility regime detection
* Trade planning
* Risk management
* Scenario analysis
* Event-risk preparation
* Identifying normal vs extended price movement
It is particularly useful for traders who want to understand whether the market is moving within a statistically normal range or entering an abnormal volatility condition.
What the Indicator Is Not
This indicator is not:
* A guaranteed buy/sell system
* A full options-pricing model
* A prediction engine
* A replacement for risk management
* A standalone trading strategy
* A signal that every band touch should be traded
The bands are probability-based reference levels, not guaranteed support or resistance.
Important Limitations
The indicator uses historical realised volatility. It does not know future volatility.
Volatility can change suddenly, especially during:
* News events
* Central bank decisions
* Earnings releases
* Liquidity shocks
* Flash crashes
* Crypto liquidation cascades
* Geopolitical events
The expected move assumes that recent volatility is a reasonable estimate for near-future volatility. In fast-changing markets, this assumption can fail.
The indicator also does not include order flow, positioning, options-chain data, implied volatility, macroeconomic data, or liquidity depth.
For best results, it should be combined with:
* Market structure
* Trend analysis
* Support and resistance
* Liquidity levels
* Fundamental or macro context
* Risk management rules
## Suggested Interpretation Table
| Price Location | Volatility Direction | Interpretation |
| ----------------- | -------------------- | ------------------------------------ |
| Near Anchor | Flat or Contracting | Balanced / neutral range |
| Above +1σ | Expanding | Bullish momentum possible |
| Below -1σ | Expanding | Bearish momentum possible |
| Above +2σ | Expanding | Strong upside extension |
| Below -2σ | Expanding | Strong downside extension |
| Outside ±2σ | Contracting | Possible exhaustion risk |
| Back inside ±2σ | Contracting | Mean-reversion confirmation possible |
| Very narrow bands | Low volatility | Compression / breakout risk |
| Very wide bands | High volatility | Stress regime / reduce size |
## Risk Management Notes
Traders can use the expected move levels to improve risk planning.
Possible applications:
* Use 1σ levels as realistic near-term targets.
* Use 2σ levels as aggressive targets or extreme-risk zones.
* Avoid placing stops too close during high-volatility regimes.
* Reduce position size when volatility percentile is high.
* Avoid chasing price after a large move into 2σ or 3σ unless momentum is confirmed.
* Wait for re-entry before fading extended moves.
The indicator is most powerful when used to avoid poor trade location.
Example Use Case
Suppose EUR/USD is trading at 1.1520 on the 1-hour chart.
The indicator shows:
* Expected Move: 0.45%
* +1σ: 1.1574
* -1σ: 1.1470
* +2σ: 1.1626
* -2σ: 1.1419
* Vol Regime: Extreme Vol
* Vol Direction: Contracting
This means the market recently experienced a large volatility shock, but volatility is now cooling.
A trader could interpret this as follows:
* A move toward +1σ may be a normal retracement.
* A move toward -1σ may be normal continuation.
* A move beyond ±2σ would represent a more extreme continuation or reversal scenario.
* Since volatility is contracting, chasing the move may be less attractive.
* Mean reversion should still require confirmation from price action.
## Best Markets
The indicator can be used across liquid markets, including:
* FX pairs
* Crypto
* Equity indices
* Commodities
* Futures
* Large-cap stocks
It generally works best on liquid instruments with reliable price history.
## Final Notes
Derivatives Expected Move Volatility Bands is designed to help traders think in terms of probability, volatility, and risk.
Instead of asking only whether price is bullish or bearish, the indicator helps answer:
* Is the move normal or extended?
* How far could price reasonably move?
* Is volatility expanding or contracting?
* Is the market in a low, normal, high, or extreme volatility regime?
* Are my targets and stops realistic for the current environment?
Use it as a decision-support and risk-management tool, not as a standalone trading system.
Indicator
Key LevelsHere's a publication description you can drop into PulseWire:
---
**Key Levels + Battle Line**
A clean intraday levels indicator that maps the day's most-watched price reference points and identifies the central level bulls and bears are fighting over.
At the 9:30 cash open, the script locks in and plots seven key levels, each extending fully across the chart:
- **Premarket High / Low** — the range built before the open
- **Yesterday's High / Low / Close** — prior-session reference points
- **Premarket Mid** and **Yesterday Mid** — the equilibrium of each range
It then calculates a **Battle Line** — the central pivot of the whole structure. You can set this to either the *range equilibrium* (midpoint between the highest and lowest key level) or a *5-level average* (mean of premarket high/low and yesterday's high/low/close), which behaves more like a center-of-gravity pivot. The idea is simple: price tends to chop around this line while neither side has control, and a decisive break tends to resolve in that direction.
When price closes through the Battle Line, the indicator marks the break with an arrow and flips the directional bias — close above for bullish, close below for bearish. By default, breaks are confirmed on the bar **close** rather than wicks, so you're reacting to commitment rather than noise. An optional background shade colors the session by current bias, and built-in alerts fire on each break.
**Settings**
- Fully adjustable premarket and regular session times plus timezone (default 9:30 = US cash open)
- Toggle any level on or off
- Custom colors, line widths, and label offset
- Choose the Battle Line basis and switch break confirmation between close and wick
- Optional break arrows and bias background shading
**Notes**
- Designed for intraday timeframes; built and tested on 15-minute charts
- Yesterday's values are pulled from the daily timeframe
- Levels anchor at the open, so load a recent regular-session day to see them
This is an analysis tool, not financial advice. Always confirm setups with your own plan and risk management. Indicator
ForgeQuant AI | Regime + LSTM + R:R [MarketFragments]ForgeQuant AI
A regime-aware overlay that combines four systems into a single read on the
chart: a regime classifier, a deep recurrent LSTM-style memory cell, a 0-100
confluence edge score, and a dynamic ATR-based risk/reward engine.
Important up front: this is a research preview. It has NOT been forward tested,
and no performance claims are made. See the notes at the bottom.
─────────────────────────────────────────────────────────────
HOW IT WORKS
─────────────────────────────────────────────────────────────
STEP 1 -- REGIME DETECTION
Volatility percentile (ATR rank) and a directional-movement trend-strength
reading classify each bar into one of six regimes: Strong Trend Bull, Strong
Trend Bear, High-Vol Chop, Mean Reversion, Breakout Potential, or Neutral. The
chart background shades to match.
STEP 2 -- DEEP LSTM MEMORY CELL
A 2-layer recurrent memory cell processes an engineered input vector built from
normalized volume, momentum vs the 21 EMA, volatility-of-volatility, and RSI
deviation. Layer 1 runs a fast cell and a slow cell; Layer 2 is a stacked
context cell. Gate weights adapt online via a clipped, momentum-smoothed
pseudo-BPTT update, with optional attention-weighted readout and layer-norm
input scaling. The cell outputs a hidden state, a confidence reading, a regime
bias (via an adaptive bias band), and an anomaly flag when price behavior
diverges sharply from the learned state.
This is a heuristic recurrent filter written in Pine -- not a trained neural
network. Treat it as an adaptive smoother, not a forecast.
STEP 3 -- CONFLUENCE EDGE SCORE
A 0-100 score blends five inputs: market structure (fair-value gaps and volume
absorption), volume behavior, momentum (RSI and the 9 EMA), higher-timeframe
trend (60-minute), and the LSTM bias/anomaly state.
STEP 4 -- DYNAMIC RISK & REWARD
Suggested risk % scales by regime (reduced in chop, trimmed further on an
anomaly). Stop and target are ATR multiples, with the target stretched by LSTM
confidence. A forward-projected R:R cloud draws the target (green) and stop
(red) zones from the latest close.
─────────────────────────────────────────────────────────────
SIGNALS
─────────────────────────────────────────────────────────────
Long Edge score >= 62, RSI > 52, a bullish FVG or absorption bar, and no
active LSTM anomaly.
Short Edge score >= 62, RSI < 48, a bearish FVG or absorption bar, and no
active LSTM anomaly.
Triggers evaluate on confirmed bars only.
─────────────────────────────────────────────────────────────
WHAT YOU SEE
─────────────────────────────────────────────────────────────
Background shade Current regime
Cyan line LSTM hidden state plotted around price (× ATR amplitude)
Green/Red cloud Dynamic R:R -- target (green) and stop (red)
Triangles Long (L, up) and Short (S, down) signals
Dashboard panel Regime, edge score, LSTM confidence, suggested risk %,
dynamic R:R, anomaly status, attention split, bias band
Gate plots Optional forget/input/output gate activations (debug)
─────────────────────────────────────────────────────────────
SETTINGS
─────────────────────────────────────────────────────────────
Display Regime background, panel position/size, diagnostics, gates
LSTM Memory Cell Enable, memory speed, anomaly sensitivity, attention,
layer-norm, hidden-state plot amplitude
Regime-Bias Band Auto (stdev-scaled) vs manual, sensitivity, lookback,
floor/ceiling
Dynamic Risk Base risk %, ATR stop/target multiples, chop multiplier,
R:R cloud toggle and forward extend
─────────────────────────────────────────────────────────────
IMPORTANT NOTES
─────────────────────────────────────────────────────────────
-- This indicator has NOT been backtested or forward tested
-- No performance claims are made
-- Shared as a research tool for community review
-- Risk, stop, and target values are illustrative sizing suggestions, not
trade instructions
-- Results will vary by instrument, timeframe, and market conditions
-- This is not financial advice
-- Trading involves substantial risk of loss
-- Past results do not guarantee future performance
-- Use for educational and research purposes only
─────────────────────────────────────────────────────────────
Free for public use Indicator
Indicator
Indicator
ORB + Fib Breakout Signals 1.0Overview
ORB + Fib Breakout Signals 1.0 is a trading indicator designed to combine Opening Range Breakout (ORB) analysis with Fibonacci extension and retracement levels to identify high-probability trade opportunities. The script automatically plots key ORB levels, detects breakout conditions, and generates long and short trade signals when price confirms momentum beyond the opening range.
Features
Automatic Opening Range High and Low detection
Bullish and bearish breakout signals
Fibonacci retracement and extension levels
Visual buy and sell markers
Customizable session settings
Adjustable Fibonacci targets
Clear chart overlays for fast decision making
How It Works
The script defines the opening range during a user-selected session.
Once the range is established, it monitors price action for confirmed breakouts.
When price closes above the ORB high, a bullish signal may be generated.
When price closes below the ORB low, a bearish signal may be generated.
Fibonacci levels are used to identify potential profit targets, pullback zones, and areas of support or resistance.
Best Use Cases
Index Futures (NQ, ES, YM)
Forex Markets
Major Stock Indices
High Volume Equities
Intraday Momentum Trading
Risk Disclaimer
This indicator is intended for educational and informational purposes only. Trading involves substantial risk and no indicator can guarantee profits. Always use proper risk management, stop-loss protection, and independent analysis before entering any trade.
Version
Version 1.0
Created by Chad Lee Indicator
Indicator
Grand Trend Engine (GTE) Grand Trend Engine (GTE)
## Overview
Omega Grand Trend Engine (GTE) is a multi-engine trend intelligence framework designed to identify the broader market direction rather than generating frequent buy and sell signals.
Unlike traditional indicators that focus on short-term entries and exits, GTE combines multiple market dimensions into a single unified power model to help traders understand where the dominant trend is developing, strengthening, weakening, or potentially reversing.
The indicator is especially effective on instruments with consistently high trading volume, where price movement, volume participation, and market structure tend to produce cleaner and more reliable signals.
For this reason, GTE generally performs best on highly liquid stocks, major indices, large-cap cryptocurrencies, commodities, and actively traded forex pairs.
---
## Core Philosophy
GTE should not be viewed as a simple buy/sell indicator.
Its primary purpose is to answer three important questions:
* What is the current dominant market direction?
* How strong is the current trend?
* Is the trend strengthening or losing momentum?
The system is built to help traders stay aligned with larger market movements instead of reacting to every short-term fluctuation.
---
## Integrated Engines
### PI Energy Engine
The PI Energy Engine measures market energy using a custom mathematical model based on ATR and OBV acceleration.
Its purpose is to estimate whether underlying market energy is expanding or contracting beneath price movement.
This helps identify hidden strength and weakness that may not yet be visible on the chart.
---
### Flow Engine
The Flow Engine combines Delta Flow, CVD Flow, and OBV Flow into a single directional pressure model.
Rather than focusing on price alone, it attempts to measure the actual participation behind market movement.
Strong trends are usually supported by strong flow participation.
---
### Power Zone Engine
Power Zones analyze volume behavior, candle structure, and Fibonacci reaction areas.
These zones are designed to identify areas where institutional activity and directional pressure may be concentrated.
---
### Harmonic Structure Engine
The Harmonic Engine evaluates XABCD relationships and Fibonacci proportionality.
Instead of acting as a standalone pattern detector, harmonic information becomes part of the overall trend assessment process.
---
### Vertex Matrix Engine
The Vertex Engine evaluates volatility, momentum, directional pressure, and volume interaction simultaneously.
Its purpose is to measure the internal state of the market and determine whether conditions favor continuation or exhaustion.
---
### Multi-Timeframe Engine
GTE continuously evaluates multiple timeframes simultaneously.
A trend receives higher confidence when multiple timeframes align in the same direction.
This helps reduce noise and improves trend confirmation.
---
### 5D Box Memory Engine
The 5D Box Engine acts as a long-term trend memory system.
When a box is formed, the market enters an observation phase.
If price breaks above the box structure, the engine applies a persistent bullish influence to the trend model.
If price breaks below the box structure, the engine applies a persistent bearish influence.
This influence remains active until a new box structure is created.
The objective is to capture major trend transitions rather than temporary fluctuations.
---
## Trend Bands
The upper and lower bands represent the current structural market boundaries.
These bands are not simple support and resistance levels.
Instead, they reflect the active range where trend pressure is currently developing.
A breakout above the upper band suggests expanding bullish conditions.
A breakdown below the lower band suggests expanding bearish conditions.
The bands also help identify areas where the market is transitioning from consolidation into directional movement.
---
## Trend Line
The main trend line is the visual representation of the GTE power model.
The line adapts dynamically using market volatility and trend strength.
As the underlying trend becomes stronger, the line gains confidence and stability.
When the line begins to weaken, flatten, or lose structure, it often indicates that the existing trend is losing momentum.
In many cases, these weakening phases can act as early warnings before major trend reversals occur.
For this reason, traders should pay attention not only to the direction of the line but also to changes in its overall strength and behavior.
---
## Unified Power Score
All engines contribute to a single unified Power Score.
The Power Score represents the combined assessment of:
* Market Energy
* Flow Participation
* Volume Pressure
* Harmonic Structure
* Trend Alignment
* Volatility Conditions
* Multi-Timeframe Confirmation
* 5D Box Trend Memory
Higher values indicate stronger bullish conditions.
Lower values indicate stronger bearish conditions.
The objective is to simplify a large amount of market information into one readable trend framework.
---
## Best Use Cases
GTE is most effective for:
* Trend following
* Swing trading
* Position trading
* Market regime analysis
* Trend strength evaluation
* Multi-timeframe confirmation
It is not intended to generate constant buy and sell signals.
Instead, it is designed to help traders stay aligned with the dominant market trend and avoid trading against the broader market direction.
---
## Final Notes
Grand Trend Engine (GTE) is a trend intelligence system rather than a signal generator.
Its purpose is to combine multiple analytical frameworks into one coherent model capable of identifying trend direction, trend quality, and trend persistence.
The strongest results are typically achieved on high-volume instruments where market participation is deep and directional moves are supported by real liquidity.
Use GTE as a guide for understanding the larger market picture, not merely as a source of isolated trading signals.
Indicator
Indicator
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Indicator
GMMA Decisive Below Signal MTFGuppy Multiple Moving Average (GMMA) Decisive Below Signal MTF User Manual
Overview
This manual explains how to use the GMMA Decisive Below Signal MTF PulseWire indicator, including its inputs, chart behavior, and signal logic. The script supports separate visibility controls for short and long GMMA groups, separate source settings for those groups, and a selectable timeframe for multi-timeframe GMMA calculations.
What the indicator does
The indicator plots a Guppy Multiple Moving Average structure using 12 EMAs split into two groups: six short-period EMAs and six long-period EMAs. It then displays a one-time bearish signal only when a candle body is completely below the full GMMA stack, with no body contact with any EMA, and only on the first bar where that state begins.
Inputs
| Setting | Purpose | Notes |
| -------------------- | ------------------------------------------------ | -------------------------------------------------------------------------------------- |
| GMMA Timeframe | Chooses the timeframe used for GMMA calculations | Uses input.timeframe() and feeds that into request.security().pulsewire+1 |
| Short GMMA Source | Source used for the six short EMAs | Created with input.source().pulsewireyoutube |
| Long GMMA Source | Source used for the six long EMAs | Created with input.source().pulsewireyoutube |
| Show Short GMMA | Shows or hides the short EMA group | Boolean visibility control through input.bool() and plot(... ? value : na).pulsewire |
| Show Long GMMA | Shows or hides the long EMA group | Boolean visibility control through input.bool() and plot(... ? value : na).pulsewire |
| EMA1 to EMA12 Period | Controls the lengths of the EMAs | The default GMMA structure remains 3, 5, 8, 10, 12, 15 and 30, 35, 40, 45, 50, 60. |
Signal logic
The script calculates the upper edge of the candle body using math.max(open, close). It then calculates the lowest EMA value across all 12 GMMA lines using math.min(...), and the bearish condition becomes true only when the body top is strictly below that level, which prevents body contact with any EMA.
The plotted signal appears only on the first bar where the decisive bearish condition turns true. This behavior comes from feeding plotshape() a boolean series and combining the current condition with its prior-bar state using , so repeated signals are suppressed while the condition remains true.
Setup steps
Open PulseWire and add a new custom indicator in the Pine Editor.
Paste the script and save it.
Add the indicator to the chart.
Open the indicator settings and choose the GMMA timeframe, short source, long source, and visibility checkboxes.
Review the chart for one-time SELL signals when a candle body decisively moves below the full GMMA stack.
Screen grabs to capture
Add the following screenshots before publishing the manual so users can visually follow the workflow.
Screen grab 1: Pine Editor with the script loaded
Capture the Pine Editor showing the script title, the timeframe input, the short and long source inputs, and the plotshape signal section. This screenshot helps users confirm they pasted the correct script.
Screen grab 2: Indicator settings panel
Capture the Inputs tab showing:
GMMA Timeframe
Short GMMA Source
Long GMMA Source
Show Short GMMA
Show Long GMMA
EMA periods
This screenshot helps users understand how to configure the script inputs.
Screen grab 3: Chart with both GMMA groups visible
Capture a chart where the six short EMAs are visible in green and the six long EMAs are visible in red. This screenshot demonstrates the two-group GMMA structure.
Screen grab 4: Chart showing the first decisive bearish SELL signal
Capture a chart section where the candle body is clearly below the entire GMMA stack and the SELL marker appears above the bar only once. This screenshot documents the exact signal behavior controlled by plotshape() and the first-occurrence condition.
Screen grab 5: Visibility controls in action
Capture one chart with only short GMMA enabled and another with only long GMMA enabled. This screenshot pair documents how the checkboxes affect display without changing the underlying signal logic.
Notes and cautions
input.source() supports source selection such as open, high, low, close, and composite price series, but source behavior in multi-timeframe workflows should be tested carefully because the script also uses request.security() to pull values from another timeframe.
PulseWire documentation notes that requesting lower-timeframe data from a higher-timeframe chart is generally not recommended, so users should prefer equal or higher GMMA timeframes for more stable behavior.
Recommended upload package
For a clean user manual upload, include:
This markdown manual as the main document.
Five PNG screenshots named in sequence, for example 01-pine-editor.png through 05-signal-example.png.
The Pine Script file saved separately as plain text for quick reuse. Indicator
