Sphinx Multi-Tier SMT Detector█ OVERVIEW
Sphinx Multi-Tier SMT Detector reads SMT divergence (Smart Money Technique) between two or three correlated instruments and reports it across two complementary structures from one shared engine. An Engine Mode input selects intraday cycle tiers, a higher-timeframe reader, or both together, so the same indicator serves a 1-minute execution chart and a Daily context chart without switching tools.
SMT divergence occurs when correlated markets disagree at a liquidity level: one instrument sweeps a prior swing high or low while a correlated one fails to confirm. That non-confirmation often marks exhaustion or a manipulation leg ahead of a reversal, and is a core read in index-futures trading (for example ES vs NQ vs YM, or their micros).
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█ CONCEPTS
Leader and sisters. You define three correlated assets. Whichever one matches the chart symbol becomes the leader (A1); the other two become sisters (A2 and A3). Nothing is hardcoded, so any of the three can be charted and the roles reassign automatically. A toggle allows a strict two-asset comparison (A1 vs A2).
Divergence rule. On each structure the engine anchors a reference swing for the leader and records each sister's value at that same anchor bar. It latches a per-instrument swept flag the moment that instrument trades through its own reference. A divergence fires on a symmetric any-swept-not-all rule: at least one instrument takes the level but not all do. The divergence is attributed to the non-confirming sister, so a signal reads A1/A2, A1/A3, or both.
Lag rejection. If the lagging instrument had already cleared the reference between the anchor and the present, an intervening shared extreme existed and the divergence is rejected. This filters false positives from non-simultaneous sweeps.
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█ THE TWO ENGINES
LTF Cycles. Intraday divergence on a nested cycle grid anchored to the 20:00 New York (CME futures) open: 90-minute blocks with 30-minute and 10-minute sub-cycles. T1 compares against the prior completed session extreme; T2 , T3 and T4 compare against prior cycles at their respective scales. Tiers are prioritized (T1 > T2 > T3 > T4): one label per direction is arbitrated to the highest active tier, a lower tier hides while a higher one is active in the same direction, and a confirmed A1/A2 divergence takes precedence over an A3-only divergence.
HTF Multi-TF. The same divergence logic evaluated on 1H, 4H, Daily, Weekly and Monthly in parallel. It draws only the timeframe matching the chart resolution and lists every other live higher-timeframe SMT in a compact table, so a Daily divergence stays visible while you are on a 4H chart.
Mitigation. Signals invalidate and their drawings are removed once price closes through the divergent pivot, keeping the chart to currently relevant levels.
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█ HOW TO USE
1 — Chart your leader instrument and set the three correlated assets. Turn off
the third asset for a strict two-way comparison.
2 — Choose an Engine Mode : LTF Cycles or Both for intraday execution;
HTF Multi-TF or Both for 1H-and-higher context.
3 — Read the signal. A line connects the reference swing to the divergent
extreme. The LTF label states direction, tier and diverging sister (for
example T1 A2); the HTF label and table state timeframe and pair (for
example Daily A1/A3).
4 — Treat SMT as context, not a standalone trigger. Combine it with your own
execution: a structure shift, displacement, or a fair-value-gap reclaim.
Higher tiers and higher timeframes carry more weight. A lower-tier SMT with no higher-tier or higher-timeframe backing is more prone to being an inducement.
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█ ORIGINALITY
• One engine, two structures. The same leader-sister swept-flag logic
drives both a nested intraday session/cycle model and a five-timeframe
higher-timeframe reader, from a single input rather than separate tools.
• Fractal tier arbitration. Four nested intraday tiers with explicit
priority, one-label-per-direction arbitration, higher-hides-lower
suppression and A1/A2-over-A3 precedence, so a busy chart stays legible.
• Automatic role assignment. No fixed instrument hierarchy; the chart
symbol is always the leader and the sisters follow, so the same settings
work on any of the correlated charts.
• Sister-anchored comparison. Each sister is sampled at the leader's
exact reference bar, and an intervening shared extreme invalidates a
would-be divergence.
• CME-anchored cycle grid. Intraday cycles anchor to the 20:00 NY
futures open rather than midnight, matching how index-futures sessions run.
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█ ALERTS
Per-tier bull/bear, aggregate any-tier, all-tier alignment, and higher-timeframe bull/bear on the chart timeframe. An edge-triggered mode fires once on appearance; an optional repeat mode re-fires each bar close while a signal remains active.
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█ LIMITATIONS
• Intended for correlated instruments (for example index futures and their
micros). Uncorrelated symbols produce meaningless divergences.
• SMT is a contextual read, not a complete trading system. Past behavior does
not guarantee future results. This is a technical tool, not financial advice. Indicador
FVG Prime (Fair Value Gap Prime)FVG Prime — Fair Value Gap Suite is a professional Fair Value Gap (FVG) analysis tool designed for traders who use Smart Money Concepts (SMC), ICT concepts, and institutional price action.
The indicator automatically detects bullish and bearish Fair Value Gaps using a strict three-candle imbalance model and provides advanced visualization, mitigation tracking, and optional Buy/Sell signals.
Rather than plotting every imbalance indiscriminately, FVG Prime incorporates multiple filtering and confirmation techniques to help reduce market noise while keeping the chart clean and easy to interpret.
The indicator is suitable for:
• Smart Money Concepts (SMC)
• ICT Methodology
• Price Action Trading
• Swing Trading
• Intraday Trading
• Scalping
• Trend Following
• Pullback Entries
• Market Structure Analysis
The primary objective of the indicator is to identify institutional price imbalances and monitor how price reacts when revisiting those zones. It is designed as a decision-support tool and should always be used alongside proper market structure analysis, risk management, and personal trading rules.
USER INPUTS
1️⃣ FVG Detection Settings
Show Bullish FVG (Default: Enabled)
Displays all detected bullish Fair Value Gaps on the chart. Disable this option if you only want to analyze bearish imbalances.
Show Bearish FVG (Default: Enabled)
Displays all detected bearish Fair Value Gaps on the chart. Disable this option if you only want to analyze bullish imbalances.
ATR Size Filter (Default: Enabled)
Filters out very small Fair Value Gaps by requiring the gap height to exceed a percentage of the current Average True Range (ATR). This helps eliminate insignificant market noise and focuses on stronger institutional imbalances.
ATR Multiplier (× ATR) (Default: 0.25)
Determines the minimum size required for a Fair Value Gap to be plotted.
Minimum Gap Size = ATR × 0.25
Increasing this value results in fewer but generally stronger Fair Value Gaps, while decreasing it allows smaller gaps to be displayed.
ATR Length (Default: 14)
Defines the lookback period used to calculate the Average True Range for the size filter.
Smaller values respond more quickly to changing volatility, whereas larger values produce smoother filtering.
Maximum Active FVGs (Default: 20)
Limits the number of Fair Value Gaps displayed simultaneously on the chart.
Once this limit is reached, the oldest Fair Value Gap is automatically removed to maintain chart clarity and improve performance.
2️⃣ Mitigation Logic
Mitigation Trigger (Default: Midline (CE))
Defines when a Fair Value Gap is considered mitigated.
Available options include:
Touch
The Fair Value Gap is considered mitigated as soon as price touches any portion of the gap.
Midline (CE)
The Fair Value Gap is considered mitigated once price reaches the Consequent Encroachment (50% midpoint). This is the default setting and follows one of the most commonly used ICT mitigation concepts.
Full Fill
The Fair Value Gap remains active until price completely fills the entire imbalance.
After Mitigation (Default: Keep (Dimmed))
Determines what happens after a Fair Value Gap has been mitigated.
Delete
Completely removes the Fair Value Gap from the chart.
Keep (Dimmed)
Keeps the Fair Value Gap visible while significantly reducing its opacity, allowing traders to review historical mitigations without cluttering the chart.
3️⃣ Signal Engine
Show Buy / Sell Signals (Default: Enabled)
Displays Buy and Sell signals generated when price interacts with a valid Fair Value Gap according to the selected signal logic.
Signal Trigger (Default: Rejection Close)
Determines how trading signals are generated.
First Touch
A signal is generated immediately when price enters the Fair Value Gap.
Rejection Close
A signal is generated only when price enters the Fair Value Gap but closes back in the expected direction. This generally produces fewer but higher-quality trading opportunities and is the default option.
EMA Trend Filter (Default: Enabled)
Restricts signals to the prevailing trend.
Buy signals are only generated when price is above the EMA.
Sell signals are only generated when price is below the EMA.
This filter helps reduce counter-trend trades.
EMA Length (Default: 200)
Specifies the period of the Exponential Moving Average used for trend confirmation.
The default 200-period EMA is widely used as a long-term trend filter across multiple markets.
Volume Filter (Default: Disabled)
Requires the signal candle's trading volume to exceed the average volume before a Buy or Sell signal is generated.
This can help remove weaker reactions that occur on low trading activity.
Volume SMA Length (Default: 20)
Defines the moving average period used to calculate average trading volume.
Volume Multiplier (× Vol) (Default: 1.2)
Specifies how much greater the current candle's volume must be relative to the average volume.
For example, a value of 1.2 means the signal candle must have at least 120% of the average volume before a signal is allowed.
4️⃣ Visual Settings
Bullish Color (Default: Green)
Selects the display color used for bullish Fair Value Gaps.
Bearish Color (Default: Red)
Selects the display color used for bearish Fair Value Gaps.
Box Transparency (Default: 78)
Controls the transparency of all Fair Value Gap boxes.
Lower values make the boxes darker and more visible, while higher values make them increasingly transparent.
Age Fade Effect (Default: Enabled)
Gradually increases the transparency of older Fair Value Gaps, allowing newer institutional imbalances to stand out more clearly.
Fade Speed (Bars) (Default: 60)
Controls how quickly older Fair Value Gaps become more transparent.
Higher values create a slower fading effect, while lower values cause zones to fade more rapidly.
Show Midline (CE) (Default: Enabled)
Displays the Consequent Encroachment (50% midpoint) inside every Fair Value Gap.
Show Border (Default: Enabled)
Displays a border around each Fair Value Gap box to improve visibility.
Extend Right (Bars) (Default: 6)
Determines how many future bars each active Fair Value Gap extends across the chart.
Show FVG Text (Default: Enabled)
Displays "FVG ▲" or "FVG ▼" labels inside each Fair Value Gap for easier identification.
INDICATOR LOGIC
FVG Prime continuously scans confirmed candles using the classic three-candle Fair Value Gap model.
A Bullish Fair Value Gap is created when the current candle's low is above the high of the candle two bars earlier while the middle candle confirms bullish continuation.
A Bearish Fair Value Gap is created when the current candle's high is below the low of the candle two bars earlier while the middle candle confirms bearish continuation.
To reduce false positives, the indicator can optionally filter Fair Value Gaps using an ATR-based minimum size requirement.
Once a valid Fair Value Gap is identified, the indicator automatically:
• Draws the Fair Value Gap as a colored box.
• Calculates and displays the Consequent Encroachment (50% midpoint).
• Extends the zone into future candles.
• Tracks whether the Fair Value Gap remains active or has been mitigated.
• Automatically updates the appearance of mitigated zones.
When enabled, the Signal Engine monitors every active Fair Value Gap and generates Buy or Sell signals whenever price revisits an institutional imbalance according to the selected signal mode.
Additional confirmation can be added using:
• EMA Trend Filter
• Volume Confirmation
• Rejection Close Logic
These optional filters help improve signal quality while allowing traders to adapt the indicator to different market conditions and trading styles.
WHY IT IS UNIQUE
Unlike many Fair Value Gap indicators that simply plot every imbalance, FVG Prime focuses on quality, flexibility, and usability.
Key features include:
• Automatic Fair Value Gap Detection
• ATR-Based Noise Filtering
• Multiple Mitigation Methods
• Consequent Encroachment (CE) Midline
• Automatic Mitigation Tracking
• Intelligent Buy & Sell Signal Engine
• EMA Trend Confirmation
• Optional Volume Confirmation
• Automatic Age-Based Fade Effect
• Fully Customizable Visual Appearance
• Automatic Active FVG Management
• Historical Mitigation Visualization
• Performance Optimized Design
• Beginner Friendly with Advanced Professional Features
The indicator is designed to provide institutional-quality Fair Value Gap analysis while maintaining a clean and organized chart.
HOW USERS CAN BENEFIT FROM IT
FVG Prime can help traders:
• Identify institutional price imbalances automatically.
• Discover high-probability pullback zones.
• Improve trade timing using Fair Value Gap reactions.
• Align entries with the prevailing market trend.
• Filter weaker setups using ATR and Volume confirmation.
• Monitor whether institutional imbalances remain active or have already been mitigated.
• Reduce manual chart analysis by automating Fair Value Gap detection.
• Maintain cleaner charts through automatic zone management.
• Build consistent rule-based trading plans around Fair Value Gaps.
• Improve discipline by relying on objective detection rules instead of subjective chart interpretation.
Whether you trade stocks, forex, cryptocurrencies, commodities, or indices, FVG Prime provides a structured framework for identifying and managing institutional imbalance zones across multiple markets and timeframes.
ALERTS
The indicator includes built-in alert conditions for automated monitoring and trading workflows.
Available alerts include:
• Buy Signal
• Sell Signal
• New Bullish Fair Value Gap
• New Bearish Fair Value Gap
• Bullish Fair Value Gap Mitigated
• Bearish Fair Value Gap Mitigated
These alerts can be used with TradingView Alerts and webhook integrations for notifications or automated execution systems.
DISCLAIMER
This indicator is provided for educational and informational purposes only. It does not provide financial, investment, or trading advice and should not be interpreted as a recommendation to buy or sell any financial instrument. Trading and investing involve substantial risk, and past performance does not guarantee future results. Always conduct your own analysis and apply appropriate risk management before making any trading decisions.
Indicador
Buy Sell Momentum Entries v2Momentum Entries v2 is a simple buy/sell confirmation indicator built to find strong continuation candles after momentum begins.
It is not meant to predict every move or catch every reversal. The goal is to filter for cleaner entries where price is already showing displacement, direction, and follow-through.
I personally like these settings on the 1-minute chart:
Confirmation Push Ticks: 40
Min Body %: 60
Cooldown Bars After Signal: 0
Block Same-Side Repeats: On
Fast EMA: 9
Slow EMA: 21
Use Fast EMA Filter: On
Use Slow EMA Filter: On
Require Fast EMA Above/Below Slow EMA: On
You can adjust the settings however you like depending on your market, timeframe, and trading style.
Important settings:
Confirmation Push Ticks:
How far price must push in the signal direction before a buy or sell can appear. Higher = fewer signals, stronger momentum required.
Min Body %:
Requires the candle body to be a certain percentage of the full candle range. Higher = stronger candles only.
Cooldown Bars After Signal:
Stops the indicator from giving another signal for a set number of bars after a signal. Higher = fewer signals.
Block Same-Side Repeats:
Prevents repeated buy-after-buy or sell-after-sell signals. This helps keep the chart cleaner.
Fast EMA Length:
The shorter EMA used for direction and trend confirmation.
Slow EMA Length:
The longer EMA used to confirm broader direction.
Use Fast / Slow EMA Filter:
Requires price to be on the correct side of the selected EMA before a signal appears.
Require Fast EMA Above/Below Slow EMA:
For buys, the fast EMA must be above the slow EMA.
For sells, the fast EMA must be below the slow EMA.
This helps avoid taking signals against the short-term trend.
Best use:
Use this as an entry confirmation tool, not a full trading system by itself. It works best when combined with your own levels, market structure, sweep areas, support/resistance, or higher-timeframe bias. Indicador
Indicador
Donchian Breakout with ATR Trailing Stop (Trend Following)A simple, transparent trend-following strategy: a classic Donchian
(turtle) channel breakout with a single ATR-based trailing stop.
It was deliberately built to be robust across markets rather than
curve-fit to one — the same code and settings held up on both an
equity index (DAX/GER40, 1h) and Bitcoin (BTCUSD, 4h), and across
trailing multipliers of 2.5–3.5.
HOW IT WORKS
- Entry: goes long when price closes above the highest high of the
last N bars (default 20) while above the 200 EMA trend filter.
Short side is optional and off by default.
- Exit: one ATR-based trailing stop (distance = ATR × multiplier,
default 2.5, fixed at entry). It serves as both the initial
protective stop and the trailing exit — cutting losses and letting
winners run, fully automatically. No separate exit signal needed.
- Risk: size is derived from a fixed % risk per trade against the
stop distance (compounding), with optional risk and leverage caps.
- Optional weekend-flat close for instruments with gap risk.
HOW TO USE
- Best on genuinely trending markets. Try it on your own instrument
and timeframe.
- Tune the risk % to your own drawdown tolerance, and the ATR
multiplier to taste (2.5–3.5 behaved similarly — a good sign the
edge isn't fitted to one value).
- Built-in alerts: the entry alert gives you the trailing-stop
distance to set on your broker; the trailing stop handles the exit.
WHAT TO EXPECT — READ THIS
- It's a breakout system, so win rate is LOW: ~40–45% is normal.
The edge is that winners are bigger than losers, not that you're
right often. Judge it by profit factor and drawdown, not win rate.
- Expect long flat/drawdown periods in choppy, range-bound markets.
It performs when markets trend.
- COSTS DECIDE EVERYTHING. Set your own broker's spread/commission
in the properties before trusting any result. Something that looks
great at zero cost can be break-even or worse once real spreads —
and, for leveraged CFDs, overnight financing — are included.
Results vary a lot by broker and instrument.
NOTES
- No repainting: entries use the prior bar's channel; the trailing
stop only ratchets in the trade's favor.
- Not financial advice. Past backtest results do not guarantee
future performance. Always test on your own market, timeframe and
broker costs, and only risk what you can afford to lose. Estratégia
Sphinx Gamma TerrainSphinx Gamma Terrain renders options dealer-gamma positioning - gamma flip
levels and call/put walls across multiple expiries - as a structural map on
your chart. It is a context layer that shows where the gamma structure sits
and which regime price is trading inside. It does not generate buy/sell
signals, predictions, or automated trades.
Why it is original
Pine Script cannot fetch external options data such as dealer gamma exposure,
flip levels, or wall strikes. This tool solves that by taking a compact text
export of gamma levels and turning it into on-chart terrain. Two things make
it distinct from a plain level-drawing script:
1. A symbol-aware parser reads a full multi-instrument, multi-expiry gamma
export in a single paste and locks onto the current chart's instrument
(an ES/MES chart pulls the ES block), so a stacked NQ or GC block cannot
overwrite it.
2. A graduated, count-based regime model. Instead of a flat two-colour zone,
the shading deepens according to how many flip levels price sits above or
below, split at the median flip - so the depth of the positive- or
negative-gamma regime is readable as tone rather than a single on/off band.
It is provider-agnostic: it works with any gamma/GEX source. Either paste a
string in the documented format, or type the levels in manually. Nothing is
hard-wired to one vendor.
The three layers
- Flip ladder: gamma flip levels for near, mid and far expiries. The reactive
near-term flip is dashed; the more stable mid/far flips are dotted and drawn
thicker, because they define the regime frame.
- Regime shading: green (fade) above the flips, where positive gamma tends to
suppress moves and mean-revert; red (trend) below, where negative gamma
tends to amplify. Tone deepens with regime depth, and the green/red split
lands on the median flip so the two never overlap.
- Confluence walls: call and put walls across expiries, clustered so walls
within a tolerance band merge into a single reversal zone. A multi-strike
cluster is drawn as a translucent band spanning its strikes, tagged with the
number of hits - the heavy multi-expiry shelves stand out from lone walls.
How to use it
1. Choose an input mode. Paste string auto-parses an export of the form
SYM.DTE:F|CW|PW, with expiries separated by
semicolons. Manual levels lets you type each flip and wall set yourself;
any field left blank is simply not drawn.
2. The tool locks to your chart's instrument and draws that instrument's
flips, regime zones and walls.
3. Read the terrain as a frame, not a trigger: note which regime price is in,
where the nearest flip or wall reversal zone sits, and how the tenors
stack. Combine it with your own timing and execution method.
Inputs
Flips, regime zones and walls each have independent visibility, colour,
opacity and width controls. The regime shading exposes six opacity tiers
(three each direction) so you can tune how strongly depth reads. Wall cluster
tolerance is adjustable - widen it to treat a band of strikes as one reversal
zone, tighten it for per-strike reads. Defaults are tuned for a dark theme and
can be dialled back for live use.
Limitations
- The data is external and static: the tool draws whatever you last pasted or
typed. It does not auto-update - refresh your gamma export when the structure
changes (for example at the open, mid-session, or on a flip crossing).
- It is a positioning and context map, not a signal engine. There are no
alerts, entries, or performance claims, and gamma levels always require
judgement in context.
- Level accuracy depends entirely on your data source. Indicador
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TRADERXMOM LevelsWhat it does
Plots key intraday reference levels: previous day high/low, the daily open (6pm NY futures day boundary), and high/low ranges for the Asia, London, and New York sessions, plus two fully custom session windows.
How it works
All levels are calculated from a dedicated real (non-Heikin-Ashi) OHLC data feed, so lines stay accurate to actual market price even when your chart display is set to Heikin Ashi candles. Each level tracks mitigation — once price trades through a level, it's marked as tapped, visually separating fresh levels from ones already revisited.
How to use it
Toggle any session or level independently, customize colors/line style/label size, and optionally highlight session windows with background shading. Built for session-based intraday trading on futures and other markets where NY, London, and Asia ranges matter. Indicador
Top & Bottom Finder XL# Top & Bottom Finder XL
## User's Guide
---
# Overview
**Top & Bottom Finder XL** is a market exhaustion indicator.
Its purpose is **not** to predict every swing high and swing low.
Instead, it attempts to identify **high-probability exhaustion points** where price has become statistically extended and has a greater chance of reversing.
Unlike traditional pivot indicators, this indicator combines several independent filters:
* Structural pivots
* Momentum (RSI)
* Trend extension
* Volume
* Range expansion
Only when the selected filters agree does the indicator produce a **Confirmed Top** or **Confirmed Bottom**.
---
# How the Indicator Works
Every signal goes through the following process:
### Step 1 — Find a Pivot
The indicator first looks for a legitimate swing high or swing low using TradingView's pivot algorithm.
A pivot is not confirmed until the required number of right bars has completed.
Example:
Left = 100
Right = 5
means:
* current high must be higher than the previous 100 bars
* and remain the highest point for the next 5 bars
Only then is it officially a pivot.
---
### Step 2 — Apply RSI Filter (Optional)
Purpose:
Avoid taking pivots that occur without momentum extremes.
A top requires
RSI ≥ Top Threshold
A bottom requires
RSI ≤ Bottom Threshold
Default:
Top = 65
Bottom = 35
Disabling this filter means RSI is ignored completely.
---
### Step 3 — Apply Trend Extension Filter (Optional)
Purpose:
Avoid taking pivots that are too close to the trend.
The indicator measures:
Distance from EMA
using ATR.
Formula:
Distance =
Price − EMA
divided by ATR
Example
EMA = 100
ATR = 2
Price = 110
Distance =
10 ÷ 2
= 5 ATR
If Minimum ATR Extension = 5
the signal passes.
Otherwise it is rejected.
This filter is extremely effective at removing mediocre signals.
---
### Step 4 — Confirmation Filter
This determines whether the pivot occurred with unusually strong participation.
There are four modes.
## Off
No confirmation required.
Every pivot that passes the other filters becomes confirmed.
Produces the most signals.
---
## Volume Only
The pivot bar must have
Volume >
Average Volume × Multiplier
Default
50-bar average
Multiplier = 2
---
## Range Only
The pivot candle must have
Range >
Average Range × Multiplier
This looks for unusually large candles.
---
## Volume + Range
The strictest mode.
Requires BOTH:
* high volume
* large candle
Produces the fewest signals.
Usually the highest quality.
---
# Timeframe Settings
## Calculation Timeframe
Allows calculations on another timeframe.
Example
Chart = 15 minute
Calculation = 1 hour
Signals are calculated from hourly data but displayed on the 15-minute chart.
Leave blank to use the current chart timeframe.
---
# Pivot Settings
## Pivot Bars Left
Controls how significant the pivot must be.
Small values
More signals
Less significant
Large values
Fewer signals
More important turning points
Default
100
---
## Pivot Bars Right
Controls confirmation delay.
Larger values
Later signals
Higher confidence
Smaller values
Earlier signals
More false signals
Default
5
---
# Signal Filters
## Use RSI Filter
Enable or disable RSI completely.
---
## RSI Length
Default
14
Controls how RSI is calculated.
---
## Top RSI Threshold
Minimum RSI required for tops.
Default
65
Higher values
Fewer signals
---
## Bottom RSI Threshold
Maximum RSI allowed for bottoms.
Default
35
Lower values
Fewer signals
---
## Use Trend EMA Filter
Turns EMA distance filtering on or off.
---
## Trend EMA Length
Default
200
Long-term trend reference.
---
## ATR Length
Default
14
Used to normalize volatility.
---
## Minimum ATR Extension
Default
5 ATR
Controls how far price must stretch away from the EMA.
Higher values
Only extreme exhaustion
Lower values
More frequent signals
---
## Confirmation Mode
Options:
* Off
* Volume Only
* Range Only
* Volume + Range
Determines final confirmation.
---
## Volume / Range Average Length
Default
50
Average period used for volume and range comparisons.
---
## Volume Multiplier
Default
2
Required increase above average volume.
Example
Average volume = 100,000
Multiplier = 2
Required volume
200,000
---
## Range Expansion Multiplier
Default
0.5
Required increase above average candle range.
Higher values
Require larger candles.
---
# Display Settings
## Show Trend EMA
Displays the EMA used for trend extension.
Useful for visualizing how stretched price became.
---
## Show Watch Signals
Displays every confirmed pivot before filtering.
Watch signals represent:
"Potential reversal areas."
Confirmed signals represent:
"Filtered, higher-probability reversal areas."
---
## Color Settings
Customize:
* Watch Tops
* Watch Bottoms
* Confirmed Tops
* Confirmed Bottoms
* EMA
---
# Label Controls
These options determine what information appears inside Confirmed labels.
---
## Show Price
Displays pivot price.
Example
Price
145.32
---
## Show Pivot Settings
Displays
Left / Right
Example
100 / 5
Useful when comparing settings.
---
## Show RSI
Displays RSI at the pivot.
Example
RSI
72.5
---
## Show Volume
Displays pivot volume.
Useful when Volume confirmation is enabled.
---
## Show ATR
Displays ATR at the pivot.
Important:
This is **not** the distance from the EMA.
It simply displays the market's volatility (ATR) at the time the pivot formed.
Higher ATR means a more volatile market.
Lower ATR means a quieter market.
---
## Show EMA Distance
Displays
Distance from EMA
measured in ATRs.
Example
EMA Dist
5.82 ATR
This is arguably the most useful statistic on the label because it quantifies how extended price was when the reversal occurred.
---
## Show Confirmation Type
Displays how the confirmation filter was satisfied.
Possible values:
* Volume
* Range
* Volume + Range
* None
---
# Alerts
The indicator includes four alerts:
### Confirmed Top Found
Generated when a filtered top is confirmed.
---
### Confirmed Bottom Found
Generated when a filtered bottom is confirmed.
---
### Top Watch
Generated for every structural pivot high before filtering.
---
### Bottom Watch
Generated for every structural pivot low before filtering.
---
# Understanding Signal Timing
This is important.
The indicator **does not repaint**, but it is intentionally delayed by the **Pivot Bars Right** setting.
Example:
Right Bars = 5
A top occurring today will only be confirmed after five additional bars have closed without a higher high.
This is necessary because the indicator waits for confirmation that the pivot is truly established.
---
# Suggested Starting Settings
## Swing Trading (Daily)
* Left Bars: 100
* Right Bars: 5
* RSI: On
* EMA Filter: On
* Minimum ATR Extension: 5
* Confirmation: Volume Only
---
## Position Trading (Weekly)
* Left Bars: 150–250
* Right Bars: 5–10
* ATR Extension: 6–8
* Confirmation: Volume + Range
---
## Short-Term Trading (15–60 Minute)
* Left Bars: 30–60
* Right Bars: 3–5
* ATR Extension: 3–4
* Confirmation: Volume Only
---
# Strengths
* Adapts to market volatility using ATR.
* Filters out many insignificant pivots.
* Uses multiple independent confirmation methods.
* Supports higher-timeframe calculations on lower-timeframe charts.
* Does not repaint after pivot confirmation.
* Highly configurable for different trading styles.
---
# Current Limitations
* Signals are intentionally delayed by the selected Right Bars value.
* The indicator identifies **exhaustion points**, not trend direction.
* Strong trends can continue after a confirmed top or bottom, especially during momentum-driven markets.
* Volume confirmation may be less reliable for markets where reported volume is limited or synthetic (such as many forex CFDs).
---
# Best Use Practices
The indicator performs best when used to identify **areas of elevated reversal probability**, not as a standalone buy or sell trigger. Higher-quality setups occur when a confirmed signal aligns with higher-timeframe support or resistance, trendline breaks, divergence, or other independent forms of technical confirmation. Treat confirmed tops and bottoms as locations to focus attention rather than automatic entry points.
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Super-trend Signal Engine Quantum EdgeShort description
ATR-based Supertrend strategy that flips long or short on confirmed trend reversals, with optional signal labels, trend highlighting, bar coloring, and built-in date-range backtesting.
Description
Signal Engine Quantum Edge is a public Supertrend-based strategy built to track volatility-adjusted trend shifts and execute long or short entries when trend direction flips. The script uses ATR-expanded bands around hl2, then updates those bands as price develops so the strategy can detect reversals and stay aligned with the active move. TradingView describes Supertrend as a trend-following tool built from ATR and price-based bands, where changes in the line’s position relative to price signal shifts in trend direction.
How it works
Calculates ATR using either the built-in ATR method or an alternative SMA-of-true-range method.
Builds dynamic upper and lower trend bands from price and ATR.
Triggers a long entry when trend flips from bearish to bullish.
Triggers a short entry when trend flips from bullish to bearish.
Restricts entries to the user-defined backtest date window.
This strategy follows the same general Supertrend logic TradingView documents for reversal-based entries, where long positions begin when the trend changes from above price to below price, and short positions begin on the opposite transition.
Inputs
ATR Period — default 10.
ATR Multiplier — default 3.0.
Source — default hl2.
Change ATR Calculation Method? — switch between built-in ATR and SMA-of-TR.
Show Buy/Sell Signals? — toggle signal labels.
Highlighter On/Off? — toggle trend fill shading.
Bar Coloring On/Off? — color candles by active trend.
From / To Date — define the backtest window.
Visual features
Green Supertrend line and fills for bullish phases.
Red Supertrend line and fills for bearish phases.
Optional Buy/Sell labels at trend flips.
Bar coloring to reflect the most recent active signal.
Usage notes
This is a strategy, not an indicator, so it uses strategy.entry() to simulate long and short trades directly from reversal signals.
Like most Supertrend systems, it is designed for trending conditions and can produce false signals during sideways or highly compressed markets, which TradingView also notes as a common limitation of Supertrend-based methods.
For more realistic testing, set commission, slippage, and position sizing in the strategy properties before evaluating results.
Estratégia
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Divergence Indicator RSI, MACD,, Hidden Reversal Signals LunqFXDivergence Indicator is a multi-engine divergence scanner for TradingView that reads RSI, MACD and OBV at every confirmed swing and only draws a divergence when the engines agree — so instead of the usual flood of weak one-oscillator signals, you get a few graded, high-conviction ones. Every divergence is rated by strength: ★★★ all three engines confirm (rare, strongest), ★★ two confirm, single-engine noise is filtered out by default. It detects regular divergences (price makes a new extreme, oscillators refuse — potential reversal) and hidden divergences (trend continuation), on any market — forex, crypto, stocks, indices, gold — and any timeframe. Built in Pine Script v6, fully non-repainting. Keywords: divergence indicator, RSI divergence, MACD divergence, OBV divergence, hidden divergence, regular divergence, reversal, momentum, exhaustion, multi oscillator scanner.
◆ WHY MULTI-ENGINE
Any single oscillator diverges constantly — that's why classic divergence tools feel random. Requiring independent confirmation from momentum (RSI), trend-momentum (MACD) and volume flow (OBV) removes most false positives: when all three refuse to follow price, the move is genuinely running out of fuel.
◆ WHAT IT DRAWS
Divergence lines on price — solid neon violet for bullish, neon amber for bearish; dashed for hidden divergences.
Star-graded labels — ★★ / ★★★ with tooltips explaining exactly what diverged.
Exhaustion candles — a unique display layer: candles glow at full neon while price and engines agree, and fade as engines stop confirming — you see a divergence brewing before it prints.
Status strip dashboard — a horizontal HUD along the bottom: last signal + strength, a live engine board (P / RSI / MACD / OBV direction arrows), a FUEL meter, and bull/bear counters.
◆ HOW IT WORKS
Swings are detected with confirmed pivots (N closed bars each side).
At each new confirmed pivot the scanner compares price and each engine against the previous pivot: price lower low + engine higher low = regular bull; price higher low + engine lower low = hidden bull (mirrored for highs).
The number of agreeing engines (1–3) becomes the star rating; signals below your minimum are skipped.
The live engine board and fuel meter track slope agreement in real time — display-only context that never alters signals.
◆ HOW TO USE IT
Treat ★★★ regular divergences as your primary reversal alerts — look for entries with your own structure/levels.
Use hidden divergences to join the trend on pullbacks.
Watch the FUEL meter: when it drains and candles fade, tighten stops on trend trades.
Raise Min strength to 3 for only the rarest, cleanest signals; lower pivot bars for faster (but noisier) detection.
◆ SETTINGS
Pivot left/right bars, max gap between swings, minimum strength, hidden divergences on/off, engine toggles (RSI/MACD/OBV), RSI length, exhaustion candles, label size, dashboard position/size.
◆ ALERTS
Bullish divergence · Bearish divergence (fire when a confirmed signal prints).
◆ LIMITATIONS
Signals confirm with a pivot delay (right bars) — that is the honest cost of zero repaint; lower it for speed, raise it for reliability.
On symbols without volume data the OBV engine adds no information — disable it there.
Divergence marks exhaustion, not timing — always combine with structure and risk management.
◆ ORIGINALITY & NON-REPAINTING
Original work: the three-engine agreement grading, the exhaustion-candle layer, the live engine board and the fuel meter are my own implementation — no third-party code. All divergences are built from confirmed pivots only; a drawn line or label never moves or disappears.
Educational analysis tool, not financial advice. © LunqFX. Indicador
Super-trend Signal Engine Strat [QUANTUM EDGE]Short description
Volatility-adjusted Supertrend strategy with trend-reversal entries, bar highlights, and date-range backtesting.
Description
Signal Engine Quantum Edge is a clean Supertrend-based strategy that tracks volatility-adjusted trend state and generates long/short entries on confirmed reversals. It includes optional visual highlights, signal labels, and bar coloring to make trend alignment instantly readable, plus a configurable date range for precise backtest control.
How it works
Computes ATR-based upper and lower bands from a user-selected source (default hl2)
Bands tighten with trend continuation and reset on reversal
A trend flip from bearish to bullish triggers a long entry
A trend flip from bullish to bearish triggers a short entry
Recommended timeframe settings
Timeframe ATR Period ATR Multiplier
15-minute 15 9.1
5-minute 13 5.1
1-minute 10 3.0
Load the chart on your desired timeframe, open the strategy settings, and match the ATR Period and ATR Multiplier to the values above before running backtests.
Inputs
ATR Period — lookback for volatility measurement
ATR Multiplier — band width scalar
Source — price input for band calculation (default hl2)
Change ATR Calculation Method — toggle between standard ATR and SMA-of-TR
Show Buy/Sell Signals — toggle signal labels on/off
Highlighter On/Off — background trend shading
Bar Coloring On/Off — candle color sync with trend state
Date Range — backtest window limits (From/To month, day, year)
Important usage notes
This is a strategy script, not an indicator. It executes strategy.entry() calls and is meant for backtesting and automated execution workflows.
Combine with your own higher-timeframe bias, structure, and risk-management rules before live deployment. Estratégia
MTF Bias TableScript name
QE — MTF Bias Table
Short description
Multi‑timeframe trend bias dashboard. Compares fast vs. slow MA alignment across 5m through 1M to classify each timeframe as bullish or bearish at a glance.
Description
QE — MTF Bias Table is a non‑repainting, multi‑timeframe trend dashboard built for traders who need higher timeframe context before entering lower timeframe setups. It evaluates fast vs. slow moving average alignment across eight timeframes (5m, 15m, 30m, 1H, 4H, 1D, 1W, 1M) and prints a clean, color‑coded table directly on the chart.
The indicator is intentionally designed to pair with order‑flow, structure, and liquidity tools. It does not predict direction; it answers one question: “Is this timeframe aligned bullish or bearish?”
How it works
Fast MA > Slow MA = Bullish alignment (green “▲ BULL”)
Fast MA < Slow MA = Bearish alignment (red “▼ BEAR”)
All MTF requests use lookahead disabled to prevent repainting. The script reads a fresh close‑based value at each higher timeframe candle, so the bias state is stable and reflects the confirmed bar, not the developing one.
Configurable inputs
Fast MA Length (default 20)
Slow MA Length (default 50)
MA Type (EMA or SMA)
Why use this
Instantly see if your entry timeframe aligns with the daily/weekly bias
Avoid counter‑trend entries when the HTF is stacked against you
Use it as a filter: only trade setups that agree with the higher timeframe bias
Compact table design with minimal chart clutter
Tags
multi-timeframe
trend
bias
dashboard
Usage note
This is a bias filter, not an entry system. Combine it with your own structure, liquidity, and confirmation models for a complete trading plan. Indicador
Indicador
Liquidity Entry Signals [MarkitTick]💡 A comprehensive, multi-faceted approach to identifying potential market reversals based on classic liquidity sweep mechanics. By scanning for instances where price briefly breaches a significant structural high or low before immediately rejecting and closing back within the range, this tool highlights areas where trap-based price dynamics may be in play. It is designed to offer a complete trading framework rather than just a simple signal, integrating dynamic stop-loss and take-profit plotting, real-time advanced dashboard analytics, and comprehensive alert payloads. This indicator assists in bridging the gap between raw price action analysis and structured trade management.
● ✨ Originality and Utility
Many basic technical indicators simply look for higher highs or lower lows without assessing the quality of the rejection. This script elevates that concept by requiring strict closing conditions to validate a sweep. What truly sets it apart is its integration of multiple intelligent filters. Rather than relying on price action alone, users can mandate that sweeps align with the prevailing trend, occur during periods of sufficient volatility, and are backed by relative volume strength.
Additionally, the built-in risk management visualizations automatically calculate position risk parameters right on the chart. By projecting stop-loss and take-profit levels based on current volatility, it transforms a static signal into an actionable trade plan. The inclusion of dynamic JSON payload generation for alerts also makes this an incredibly versatile tool for those looking to automate their execution through third-party platforms.
● 🔬 Methodology and Concepts
The core logic of this script is built around the concept of a liquidity sweep, verified through price action closes, and filtered through statistical market conditions.
Bullish Sweep: The script continuously calculates the lowest low over a user-defined lookback window. A valid bullish signal occurs when the current bar's lowest price penetrates this recent low, but the closing price decisively reclaims it by closing higher than the structural low and higher than its own open.
Bearish Sweep: Conversely, the script identifies the highest high over the recent lookback period. If the current bar's high breaches this level, but the close falls below the recent high and below its own open, a short signal is triggered.
Trend Filtration: The indicator uses a Simple Moving Average (SMA) on both the current chart and a selected higher timeframe to establish a directional bias. Signals that conflict with these moving average baselines are suppressed to prevent counter-trend trading.
Volatility and Volume Analysis: The script evaluates the Average True Range (ATR) as a percentage of the current closing price to ensure sufficient market movement is present. It also compares the current volume to a standard moving average of volume, filtering out setups that lack participation.
● 🎨 Visual Guide
The script draws extensive visual overlays to assist in real-time decision-making and trade management.
• Signal Labels
When a valid sweep occurs, an "LS" label is plotted. Green labels positioned below the candle indicate bullish setups, while red labels above indicate bearish setups.
• Trade Execution Lines
Upon a signal, the indicator projects trade management lines directly on the chart for the next 50 bars.
Entry Line: A dashed blue line marking the closing price of the signal bar.
Stop Loss (SL): A solid red line placed away from the entry, calculated based on the ATR multiplied by the user's risk factor.
Take Profit (TP): Three dashed teal lines representing Take Profit 1, 2, and 3. These are calculated using specific Risk-to-Reward multiples of the stop-loss distance.
• Risk and Reward Zones
Semi-transparent colored fills visually separate the trade zones. A red fill highlights the risk zone between the entry and the stop loss, while a teal fill highlights the reward zone extending from the entry to the final take-profit level.
• Advanced Dashboard
A multi-row informational table appears in the selected corner of the chart. This dashboard provides a real-time status check of the prevailing trend bias, the number of bars since the last signal, exact entry/SL/TP price levels, current ATR, and visual progress bars for volatility and signal cooldown periods.
● 📖 How to Use
Traders can utilize this script as a complete top-down methodology for analyzing market structure. First, observe the dashboard to confirm that the current market environment aligns with your desired filters (e.g., ensuring the higher timeframe trend is supportive and volume thresholds are met).
When a valid "LS" label appears on the chart, immediately note the projected Entry, Stop Loss, and Take Profit lines. The dashed blue line serves as your reference for a potential entry point. You can calculate your position sizing based on the fixed distance between this blue Entry line and the solid red Stop Loss line.
The three Take Profit levels allow for a tiered approach to trade management, enabling partial profit-taking as the price advances in your favor. Advanced users can configure the custom string inputs to send highly detailed webhook payloads directly to execution platforms, passing the exact dynamically calculated price levels directly to their broker.
● ⚙️ Inputs and Settings
The script is highly customizable through categorized input groups, allowing adaptation to any asset class or timeframe.
• SMC Settings
Sweep Lookback: Defines the number of historical bars used to calculate the structural high and low points.
• Smart Filters
Trend Filter: Enables an SMA condition to dictate the allowed signal direction.
Volatility Filter: Requires the ATR to be a minimum percentage of the asset's price before a signal can fire.
Volume Filter: Demands that the current bar's volume exceeds a defined multiple of the volume moving average.
HTF Timeframe: Selects the specific higher timeframe used for long-term trend alignment.
Signal Cooldown: Prevents consecutive signals within a specified number of bars to reduce chart noise during extended consolidations.
• Trade Tools
SL ATR Mult: Determines the distance of the Stop Loss based on the current ATR, adjusting risk based on market volatility.
TP1 / TP2 / TP3 RR: Sets the specific Risk-to-Reward multiples for the three profit targets.
• Alerts
Action Strings: Customizable fields to inject specific commands into the JSON alert payloads for entries, exits, and partial take-profits.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
From a market microstructure perspective, liquidity sweeps represent a temporary imbalance in supply and demand. In auction market theory, price frequently probes beyond established boundaries to test for the presence of resting orders. When price penetrates a historical extreme but fails to sustain value there—evidenced by the immediate reversal and closing within the prior range—it indicates an absorption of liquidity by counter-trend market participants. This exhaustion of directional momentum is a well-documented phenomenon in order flow analysis.
To normalize these price extensions, the indicator applies the Average True Range (ATR). Developed by J. Welles Wilder, the ATR provides a robust statistical measure of absolute price volatility, capturing gaps and limit moves that standard standard-deviation metrics might underrepresent. By tying the Stop Loss logic directly to the ATR, the indicator adapts to heteroskedasticity, which is the changing variance of asset returns over time. This ensures that risk parameters dynamically widen during highly volatile periods to prevent premature stop-outs, and contract during quiet phases to optimize capital efficiency.
Furthermore, the reliance on moving averages for trend and volume filtration applies fundamental time-series smoothing. This inherently mitigates the noise of high-frequency price fluctuations, ensuring that the localized microstructure event (the sweep) is aligned with the macro directional drift of the broader dataset.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicador
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QSX Crypto Regime Heatmap - AI Pattern Match | 10 CoinsQSX Crypto Regime Heatmap scores the trend health of 10 crypto assets on a
continuous 0-100 scale and renders them as a color-coded dashboard — so you
can read the health of the whole market in a single glance, without flipping
through 10 charts.
This is a market-overview dashboard, not a trading system. It answers one
question fast: which coins are in a strong regime right now, and which are
breaking down.
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WHAT IT SHOWS
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For each of the 10 assets, the table displays:
• Price — live price, auto-formatted for large caps and micro-caps
• 24h — daily change with ↑/↓ direction and green/red coloring
• Score — trend health, 0 (weakest) to 100 (strongest)
• Regime — a visual strength bar, red → yellow → green
• Match — AI Pattern Match confidence (explained below)
A Top 3 Strongest / Weakest panel sits at the bottom for an instant read on
where relative strength is concentrated.
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HOW THE SCORE WORKS
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The 0-100 Trend Health score blends three continuous signals — not simple
binary above/below-MA flags:
1. Distance from the 200-period MA (how far price is extended)
2. Slope of the 200-period MA (how strong the underlying trend is)
3. Directional bias (which side of the MA price sits on)
A volatility-health component then rewards stable, orderly trends and
discounts high-volatility chop, using a rolling ATR percentile.
ADAPTIVE SCORING automatically adjusts the weight between trend and
volatility per coin, based on how persistent that coin's trend has been —
so trending assets and choppy assets are judged on their own terms.
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AI PATTERN MATCH
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The "Match" column uses a K-Nearest-Neighbors model. It builds a feature
vector from the current regime (trend, volatility, MA slope) and searches
each coin's own history for the most similar past setups, then reads what
happened next.
• High — historically similar regimes tended to resolve upward
• Mid — mixed / neutral historical outcome
• Low — historically similar regimes tended to resolve downward
• Wait — not enough history yet to form a reliable match
Pattern Match is a context signal, not a prediction. Treat it as "what has
this regime tended to lead to," never as a guarantee.
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CUSTOMIZE YOUR WATCHLIST
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4 fixed blue-chips (BTC, ETH, SOL, BNB) anchor the board.
6 fully customizable slots let you drop in any symbols you want — majors,
alts, or your current rotation. No waiting for an update to track a new coin.
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ALERTS
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• Strong Breakout — any tracked coin crosses ABOVE score 70
• Weak Breakdown — any tracked coin crosses BELOW score 30
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HOW TO USE
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★ Best used on the 4H or 1D timeframe. This is a regime dashboard — its job
is to read the bigger picture, and higher timeframes give cleaner, more
stable scores.
★ On very low timeframes (1m–15m) the panel needs to pull deep history for
10 assets and will load noticeably slower. That is expected. If you want
a fast, stable board, stay on 4H / 1D.
★ Green cluster = broad strength, favor long-biased setups on your own
system. Red cluster = broad weakness, tighten risk.
★ Use the Top 3 panel to spot where relative strength is rotating.
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NOTES & LIMITATIONS
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• In broad bear phases, most scores will sit low together — that is a correct
reflection of the market, not a malfunction.
• The panel updates on the latest bar. Historical bars intentionally do not
render the table.
• Symbols default to BINANCE pairs; you can swap any slot to another exchange.
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DISCLAIMER
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This indicator is for educational and informational purposes only. It is not
financial advice, not a recommendation to buy or sell any asset, and not a
trading system. Scores, Pattern Match values, and alerts describe historical
and current market conditions — they do not predict future prices. Crypto
markets are highly volatile and you can lose money. Always do your own
research and manage your own risk. Past behavior of similar regimes does not
guarantee future results. Indicador
Indicador
