Gabriel's Squeeze Momentum📊 Gabriel’s Squeeze Momentum — Deluxe Volatility + Momentum Suite
An advanced, all-in-one squeeze & momentum framework that times volatility compression/expansion and trend shifts, with optional CVD (cumulative volume delta) momentum, ATR zone context, Discontinued Signal Lines (DSL) scalps, Colored DMI trend label, Williams VIX Fix (WVF) low-volatility exhaustion pings, Buff’s VTTI/VPCI volume confirmation, and real-time divergence detection.
What it does:
Discover Squeezes. They occur when volatility contracts, often preceding significant price moves.
Measures momentum with a fast, ATR-normalized linear regression—optionally on Price or CVD—so you see direction and “how hard it’s pushing.”
🧭 Signal Legend ~ Colors the squeeze so you instantly know regime:
🟡 / 🟣 (Tight/Very Tight): Coiled spring; prepare a plan.
🔴 / ⚫ = (Regular/Wide): Watch for Divergences between Price and Momentum.
🟢 (Fired): Expansion started; trade with momentum cross and bias.
Adds context bands at ±1/±2/±3 ATR (“trend / expansion / OB-OS”) to filter late or weak signals.
DSL (Discontinued Signal Lines) give early scalp flips on momentum vs. adaptive bands.
DMI label & triangles communicate trend strength and whether +DI / −DI is in control.
Williams VIX Fix flags capitulation/exhaustion style spikes (with optional VIX proxy).
VTTI/VPCI modules confirm when volume aligns with price trend or contradicts it.
Divergences (regular & hidden) auto-draw with optional live (may repaint) or on-close.
🎢 Squeeze Momentum — How the Logic Works 🎢
The Squeeze Momentum model is built on the principle of volatility compression and expansion. In markets, periods of low volatility are often followed by explosive moves, while high volatility eventually contracts. The “squeeze” seeks to identify these compression phases and prepare traders for the likely expansion that follows.
This indicator achieves that by comparing Bollinger Bands (BB) to Keltner Channels (KC).
Bands: Bollinger vs. Keltner
Bollinger Bands (BB): Calculated using a Simple Moving Average (SMA) of price and standard deviations (σ) of the closing price. The bands expand and contract depending on volatility.
Keltner Channels (KC): Built from an SMA plus/minus multiples of the Average True Range (ATR). Unlike some simplified squeeze indicators that approximate ATR, this implementation uses a true ATR-based KC, ensuring accuracy across different assets and timeframes.
By comparing whether the Bollinger Bands are inside or outside the Keltner Channels, the indicator identifies different squeeze regimes, each representing a distinct volatility environment.
📦 Regime Colors
The squeeze states are color-coded for quick interpretation:
🔹Wide Squeeze (⚫): BB inside KC with a high ATR multiplier. Extremely low volatility, often before major expansion.
🔹Normal Squeeze (🔴): BB inside KC with a moderate ATR multiplier (about 25% more sensitive than Wide). Typical compression setting.
🔹Narrow Squeeze (🟡): BB inside KC with a lower ATR multiplier (about 50% more sensitive than Wide). Signals tighter compression.
🔹Very Narrow Squeeze (🟣): BB inside KC with the lowest ATR multiplier (100% more sensitive than Wide). Indicates extreme coiling.
🔹Fired Squeeze (🟢): BB break outside KC. Marks the release of volatility and potential trend acceleration.
This multi-layered system improves upon classical SQZPRO by using precisely calculated Keltner Channels and multiple sensitivity levels, giving traders more granular information about volatility states.
🔒 Multi-Timeframe Support
The indicator automatically adjusts squeeze thresholds for different timeframes — hourly, 4-hour, daily, weekly, and monthly charts. Each regime has been manually tuned for its timeframe, allowing traders to use the same tool whether scalping, swing trading, or holding longer-term positions.
🎯 Momentum Core
Detecting a squeeze is only half the equation — the indicator also includes a momentum engine to determine direction and strength.
Price momentum is measured as the distance of Close from its Highest High and Lowest Low range, smoothed with a Simple Moving Average, and refined with Linear Regression.
This value is then divided by ATR, normalizing momentum relative to volatility.
Optionally, CVD Mode (Cumulative Volume Delta ÷ Volume) can replace price momentum for assets where order-flow and volume dynamics dominate (e.g., crypto).
🦆 Signal Line
Momentum is paired with a Simple Moving Average signal line:
🔹Bullish: Momentum > Signal.
🔹Bearish: Momentum < Signal.
This crossover logic provides directional bias and filters for false squeezes.
🚀 When to Use Price vs. CVD
CVD Mode (Crypto, FX with tick volume): Best for assets with strong volume/order-flow signals.
Price Mode (Equities, Commodities, Higher TFs): Best for assets with irregular or thin volume data.
🛢️ATR Zones (context filter) 🛢️
Its design is straightforward yet effective: it measures the difference between the current price from its highest highs, lowest lows, and a moving average over a chosen period, then expresses that difference in terms of the Average True Range (ATR) over the same period. By normalizing price deviations against volatility, ATR provides a clear sense of how far and how fast price is moving relative to its “normal” range.
Interpreting the Zone
Positive Values: When it is above zero, price is trading above its HH, LL, and moving average, suggesting bullish momentum. The higher the value, the stronger the momentum relative to volatility.
Negative Values: When the Momentum is below zero, price is trading below its HH, LL, and moving average, signaling bearish momentum. The deeper the reading, the stronger the downside pressure.
Magnitude Matters: Because the Momentum is expressed in ATR units, traders can immediately gauge whether the move is small (less than 1 ATR), moderate (1–2 ATRs), or extreme (3+ ATRs). This makes it especially useful for assessing overbought or oversold conditions in a normalized way.
Strengths:
🔹Volatility-Normalized: Unlike simple squeeze momentum oscillators that have different OB/OS levels, this Momentum adjusts for volatility. This makes signals more consistent across assets with different volatility profiles.
🔹Simplicity:
±1 ATR: trending zone (bulls above +1, bears below −1)
±2 ATR: expansion (keep, add, or trail). Stretch/risk of mean reversion.
±3 ATR: potential exhaustion/mean-revert zone.
🔹Momentum Clarity: By framing momentum in ATR terms, it is easier to distinguish between a small deviation from trend and a genuinely significant move. Sometimes it is a good sign that it trend to ±3/2 ATR, looks for similar directional moves.
Color: The script shades +2/+3 (OB) and −2/−3 (OS) areas and provides swing alerts at ±1 ATR.
💚 What Are Discontinued Signal Lines (DSL)? 💚
In technical analysis, one of the most common tools for smoothing out noisy data is the signal line. This concept appears in many indicators, such as the MACD or stochastic oscillator, where the raw value of an indicator is compared to a smoothed version of itself. The signal line acts as a lagging filter, making it easier to identify shifts in momentum, crossovers, and directional changes.
While useful, the classic signal line approach has limitations. By design, a single smoothed line introduces lag, which means traders may receive signals later than ideal. Additionally, a one-size-fits-all smoothing process often struggles to adapt to different levels of volatility or rapidly changing market conditions.
This is where Discontinued Signal Lines (DSL) come in. DSL is an advanced extension of the traditional signal line concept. Instead of relying on just one smoothed comparison, DSL employs multiple adaptive lines that adjust dynamically to the current state of the indicator. These adaptive lines effectively “discontinue” the dependence on a single, fixed smoothing method, producing a more flexible and nuanced representation of market conditions.
How DSL Works?
Traditional Signal Line: Compares an the Momentum against its own moving average. Provides crossover signals when the raw indicator value moves above or below the smoothed line.
Strength: reduces noise. Weakness: delayed signals and limited adaptability.
DSL Extension: Uses multiple adaptive lines that respond differently to the indicator’s current behavior. Instead of one static moving average, the DSL approach creates faster and slower “reaction lines.” These lines adapt dynamically, capturing acceleration or deceleration in the indicator’s state.
Result: Traders see how momentum is evolving across multiple adaptive thresholds. This reduces false signals and improves responsiveness in volatile conditions.
Benefits of Discontinued Signal Lines
🔹Nuanced Trend Detection
DSL doesn’t just flag when momentum changes direction—it shows the quality of that shift, highlighting whether it is gaining strength, losing steam, or consolidating.
🔹Adaptability Across Markets
Because DSL adjusts to the Momentum’s own dynamics, it works well across different asset classes and timeframes, from equities and futures to forex and crypto.
🔹Earlier Signal Recognition
Multiple adaptive lines allow traders to spot developing trends earlier than with a single smoothed signal line, without being overwhelmed by raw indicator noise.
🔹Better Confirmation
DSL is particularly useful for confirmation. If both adaptive lines agree then a fill is applied in the direction, confidence in the trend is higher as the color turns bull/bear.
🔹Practical Uses
Momentum Trading: Spot acceleration or deceleration in trend strength.
Trend Confirmation: Verify whether a breakout has momentum behind it.
Noise Filtering: Smooth out erratic moves while retaining adaptability.
⚖️ Colored Directional Movement Index (CDMI) ⚖️
The Directional Movement Index (DMI), created by J. Welles Wilder, is one of the most respected trend-following indicators in technical analysis. It is actually a family of three separate indicators combined into one: the +DI (Positive Directional Indicator), the –DI (Negative Directional Indicator), and the ADX (Average Directional Index). Together, they measure not only whether the market is trending but also the strength of that trend. Traders have used the DMI for decades to identify trend direction, gauge momentum, and filter out periods of market noise.
However, despite its reliability, the traditional DMI can be challenging to interpret. Reading three separate lines at once and extracting meaningful signals requires both experience and careful observation. This complexity often discourages newer traders from fully utilizing its power.
The Colored Directional Movement Index (CDMI) is a modern reinterpretation of Wilder’s classic tool. It condenses the same information into a single visual line while using color, shape, and density to communicate what’s happening beneath the surface. The goal is simple: make the DMI’s insights faster to read, easier to act upon, and more intuitive to integrate into trading decisions.
Key Features of CDMI
🔹Color Scale for Trend Strength
The main triangle changes its base color depending on the strength of the DI reading. Dark Red or Green, colors correspond to stronger trends, while faded Gray or lighter yellow tones signal weaker or fading trends. This makes it visually clear when the market is consolidating versus trending strongly.
🔹Color Density for Momentum
Beyond strength, the CDMI uses color density to represent momentum in the trend’s strength. If the ADX is rising (trend gaining momentum), the triangles grows more darker. If the ADX is falling (trend losing momentum), the triangle becomes paler. This provides an instant sense of whether a trend is accelerating or decelerating.
🔹Directional Triangles for Trend Direction
To replace the separate +DI and –DI lines, the CDMI plots small triangle shapes along the bottom axis. An upward-facing triangle indicates that +DI is dominant, confirming bullish direction. A downward-facing triangle signals –DI dominance, confirming bearish direction. This way, both strength and direction are shown without the clutter of multiple overlapping lines.
🔹Label Display for Detailed Values
For traders who want precise data alongside the visuals, CDMI includes a label that shows:
Current trend strength (ADX value).
Current +DI and –DI values.
Momentum status of the ADX (rising or falling).
Historical values of DMI readings, so traders can track how the indicator has evolved over time.
Tooltips are also available to explain “How to read the colored DMI line”, making this version more beginner-friendly.
Why CDMI Matters
The CDMI retains the proven reliability of Wilder’s DMI while solving its biggest drawback—interpretation difficulty. Instead of juggling three separate plots, traders get a single, information-rich line supplemented with intuitive shapes and labels. This streamlined format makes trend verification, momentum analysis, and signal confirmation much faster.
For trading applications, the CDMI can help:
Confirm Entries by showing whether the market is trending strongly enough to justify a position.
Avoid False Signals by filtering out periods of low ADX (weak trend).
Enhance Timing by tracking momentum shifts in trend strength.
By simplifying the complexity of the original DMI into an elegant, color-coded tool, the CDMI makes one of technical analysis’ most advanced indicators practical for everyday use.
😅 The VIX, the Williams Vix Fix, and Market Bottoms 😎
The VIX, formally known as the CBOE Volatility Index, has long been considered one of the most reliable indicators for spotting major market bottoms. Often referred to as the “fear gauge,” it measures the market’s expectation of volatility in the S&P 500 over the next 30 days. When fear grips investors and volatility spikes, the VIX rises sharply. Historically, these moments of extreme fear often coincide with powerful buying opportunities, as markets have a tendency to rebound once panic selling exhausts itself.
Larry Williams, a well-known trader and author, developed the Williams Vix Fix as a way to replicate the insights of the VIX across any tradable asset. While the VIX itself is tied specifically to S&P 500 options, Williams wanted a tool that could capture similar panic-driven dynamics in stocks, futures, forex, and other markets where the VIX is not directly applicable. His “fix” uses price action and volatility formulas to approximate the same emotional extremes reflected in the official VIX, creating almost identical results in practice. This makes the Williams Vix Fix a powerful addition to the trader’s toolbox, allowing the same principle that works on U.S. equities to be applied universally.
One of the most important characteristics of both the VIX and the Williams Vix Fix is that they are far more reliable at signaling market bottoms than market tops. The reason is psychological as much as it is mathematical. At market bottoms, fear and panic are widespread. Retail investors often capitulate, selling in a frenzy as prices drop. This panic drives volatility higher, producing the spikes we see in the VIX. At the same time, professional traders and institutions—those with larger capital and more disciplined strategies—tend to step in when volatility is stretched. They buy when others are fearful, using the panic of retail investors as an opportunity to acquire assets at discounted prices. This confluence of retail panic and institutional buying power is what makes the VIX such a strong bottom-finding tool.
In contrast, at market tops, the dynamic is very different. Tops tend not to be marked by panic or fear. Instead, they form quietly as enthusiasm fades, liquidity dries up, and buying interest wanes. Investors are often complacent, assuming prices will continue to rise, while professional money begins distributing their positions. Because there is no surge in fear, volatility remains muted, and the VIX does not offer a clear warning. This is why traders who rely on the VIX or the Williams Vix Fix must understand its limitations: it is exceptional for detecting bottoms but less useful for anticipating tops.
For traders, the lesson is straightforward. When you see the VIX or Williams Vix Fix spiking to extreme levels, it often indicates a high-probability environment for a rebound. These tools should not be used in isolation, but when combined with support levels, sentiment indicators, and market breadth, they can provide some of the most reliable bottom-fishing signals available. While no indicator is perfect, few have stood the test of time as consistently as the VIX—and thanks to Williams’ adaptation, its power can now be applied to nearly every market.
Indicator Signals (Great in risk-off charts):
🔹Flags spike events (tops/bottoms) with both original and filtered (AE/FE) criteria.
🔹Great as a risk overlay: tighten stops into AE/FE, or require “no spike” to enter.
🤯 Volume Comfirmation: VTTI & VPCI (Buff Dormeier) 🤯
Volume Trend Technical Indicator (VTTI)
The Volume Trend Technical Indicator (VTTI) is a momentum-style tool that analyzes how volume trends interact with price movement. Unlike basic volume measures that simply report how many shares or contracts were traded, the VTTI evaluates whether volume is expanding or contracting in the same direction as the prevailing price trend. The underlying logic is that healthy trends are supported by rising volume, while weakening trends often occur on shrinking volume.
At its core, VTTI looks at the rate of change in volume compared to price movements. By smoothing and normalizing these relationships, the indicator helps traders determine whether momentum is accelerating, decelerating, or diverging.
Rising VTTI: Suggests that volume is confirming the current price trend, strengthening the case for continuation. Flips BG Green after crossing it's signal.
Falling VTTI: Indicates that the trend may be losing participation, often a sign of possible consolidation or reversal. Flips BG Red after crossing it's signal.
Traders often use VTTI to filter entries and exits. For example, if price breaks out but VTTI does not rise above zero, the breakout may lack conviction. On the other hand, when both price and VTTI are aligned, probability of continuation improves.
Volume Price Confirmation Indicator (VPCI)
The Volume Price Confirmation Indicator (VPCI), developed by Buff Dormeier, takes the relationship between price and volume a step further. While traditional indicators like On-Balance Volume (OBV) or Chaikin Money Flow look at cumulative patterns, VPCI breaks price and volume into trend and volatility components and then recombines them to measure how well they confirm each other.
In essence, VPCI asks: “Does volume confirm what price is signaling?”
The formula integrates:
Price Trend Component – whether the market is trending upward or downward.
Volume Trend Component – whether trading activity supports that price trend.
Volatility Adjustments – to account for irregular swings.
The resulting oscillator fluctuates around a zero line:
Positive VPCI: Indicates that price and volume trends are in agreement (bullish confirmation).
Negative VPCI: Suggests that price and volume are diverging (bearish warning or false move).
Crossovers of Zero: Can serve as potential buy or sell signals, depending on context.
A key strength of VPCI is its sensitivity to divergence. When prices continue rising but VPCI begins falling, it often foreshadows a weakening rally. Conversely, a rising VPCI during a flat or down market can highlight early accumulation.
VTTI (Entry Signal) vs. VPCI (Exit Signal)
While both indicators study price-volume dynamics, their focus differs:
VTTI is simpler, emphasizing the trend of volume relative to price for momentum confirmation.
VPCI is more advanced, decomposing both price and volume into multiple components to produce a nuanced oscillator.
Used together, they provide complementary insights. VTTI helps quickly spot whether volume is supporting a move, while VPCI offers deeper confirmation and highlights subtle divergences.
Note: The Up/Down Volume Alert works better on the 4 HR, for Daily scalps or 30 minute for HR scalps. Intraday it's 2/10 minute.
🦅 Divergence toolkit 🦅
Divergences in Technical Analysis
Divergence occurs when the price action of an asset moves in one direction while a technical indicator, such as RSI, MACD, or Momentum, moves in the opposite direction. This disagreement between price and indicator often signals a shift in underlying market dynamics. Traders use divergences to anticipate either potential reversals or continuations in trends.
There are two main types of divergences: regular divergences, which typically precede reversals, and hidden divergences, which suggest continuation of the current trend.
Regular Divergence (Reversal Signals)
A regular divergence occurs when price and indicator disagree during a trend extension. These divergences signal that momentum is no longer fully supporting the current trend and that a reversal may be imminent.
🔹Regular Bullish Divergence
Price Action: Forms a lower low.
Indicator: Forms a higher low.
Interpretation: Price is making new lows, but the indicator is gaining strength. This suggests that selling pressure is weakening, and a reversal to the upside may occur.
Example: RSI rising while price dips to fresh lows.
🔹Regular Bearish Divergence
Price Action: Forms a higher high.
Indicator: Forms a lower high.
Interpretation: Price is reaching new highs, but the indicator shows weakening momentum. This implies that buying pressure is fading, warning of a potential downside reversal.
Example: MACD histogram falling while price makes higher highs.
Regular divergences are often spotted near the end of trends and are most powerful when aligned with key support/resistance levels or overbought/oversold conditions.
Hidden Divergence (Continuation Signals)
A hidden divergence occurs during retracements within a trend. Unlike regular divergences, hidden divergences suggest that the prevailing trend still has strength and is likely to continue.
🔹Hidden Bullish Divergence
Price Action: Forms a higher low.
Indicator: Forms a lower low.
Interpretation: Price is retracing within an uptrend, but the indicator is overshooting downward. This shows that momentum remains intact, supporting continuation upward.
🔹Hidden Bearish Divergence
Price Action: Forms a lower high.
Indicator: Forms a higher high.
Interpretation: Price is retracing within a downtrend, while the indicator overshoots upward. This indicates that bearish momentum remains strong, supporting continuation downward.
Hidden divergences often appear during pullbacks, helping traders time entries in the direction of the prevailing trend.
Practical Use of Divergences
🔹Trend Reversal Alerts – Regular divergences are early warnings that a trend may be ending.
🔹Trend Continuation Signals – Hidden divergences help confirm that retracements are simply pauses, not full reversals.
🔹Confluence with Other Tools – Divergences are more reliable when combined with support/resistance, candlestick patterns, or volume analysis.
🔹Multi-Timeframe Analysis – Spotting divergences on higher timeframes often produces stronger signals.
🕭🔔🛎️ Alert 🛎️🔔🕭
🔹Squeeze
🟢 Fired Squeeze
⚫ Low (Wide) Squeeze / 🔴 Normal / 🟡 Tight / 🟣 Very Tight
🔹Momentum
🐂 Bullish Trend Reversal (Crossover of Momentum and Signal from sub −2)
🐻 Bearish Trend Reversal (Crossover of Momentum and Signal from above +2)
📈 Bullish Swing (cross above +1 ATR) / 📉 Bearish Swing (cross below −1 ATR)
🔹DSL
💚 Bullish DSL Scalp / 💔 Bearish DSL Scalp
🔹Volume
🎯 Strong Up Volume (VPCI > 0 and VTTI up)
⏳ Strong Down Volume (VPCI < 0 and VTTI down)
🔹Divergences
🦅 Bullish, 🦆 Bearish, 🦅 Bullish Hidden, 🦆 Bearish Hidden
Management: Search Vanguard ETFs in your browser, look up full list of VOO holdings. Download it, or copy paste all the ticker symbols. Place that with a AI, just ask it to place , in between each ticker. NVDA, TSLA, AVGO, etc. Create a new watchlist, in the + add all tickers separated by commas. Place a watchlist alert ⚠️ only available for premium + subscribers.
Practical playbook
1) Classic Squeeze Break
Setup: 🔴(D)/🟡(2D)/🟣(3D) squeeze → wait for 🟢(1HR) Fired.
Confirm: Momentum > Signal and above +1 ATR (or DMI strong & rising).
Manage: add on pullbacks that hold +1 ATR; scale near +2 ATR or WVF AE/FE.
2) DSL Scalp in Trend
Setup: Clear trend (DMI strong) + DSL bull/bear trigger in the direction of trend.
Filter: avoid tight/very tight yellow/purple unless you want micro-scalps.
Exit: opposite DSL or ATR midline loss.
3) Mean-Reversion Fade
Setup: Momentum extended to ±3 ATR, WVF spike, and a regular divergence.
Entry: Counter signal only when mom crosses back through ±3 ATR toward mid. Exit early if squeeze ⚫/🔴, Momentum may extend to ±3/2 ATR in the same direction.
Risk: reduce size; this is a fade, not trend following.
4) Volume-Confirmed Breakout
Setup: Squeeze → 🟢 Fired + VPCI > 0 and VTTI up → trend continuation.
Manage: trail behind +1 ATR (long) or −1 ATR (short). 9 SMA works good.
Inputs at a glance (key ones)
Mode: Price or CVD momentum; Squeeze Sensitivity (σ); Momentum Length; Signal Length; ATR Smoothing.
🧮 Colors:
SQZMOM: per squeeze regime, momentum, ATR fills.
DSL: On/Off, Fast/Slow, Length.
ATR Zones: Bullish/Bearish levels (±1), ±2/±3 zone lines & fills.
DMI: Lengths, key & weak thresholds, label on/off.
WVF/VIX: Lookbacks, bands, AE/FE toggles, VIX proxy symbol.
VTTI/VPCI: Fast/slow/signal (VTTI), Short/Long (VPCI), and volume source (Tick/CVD/NVI/PVI/OBV/PVT/AccDist/VWAP).
Divergences: Regular/Hidden toggles, Sensitivity %, Lifetime, Live vs On-Close, Lines/Labels.
🔎 Suggested defaults (feel free to tweak)
Calibration: Size Momentum, so that when it's above zero the asset is trending up. For the signal, it can be kept the same or lower.
Intraday (60–240m): σ = 2.0, 18~20, 3~5, DSL Fast, DMI key 23, weak 17.
Daily/Weekly: keep σ = 2.0, consider DSL Slow, DMI key 25, weak 20, widen ATR filters; lean on VPCI/VTTI (4-HR).
CVD mode: use where tick/volume quality is high (index futures, liquid equities, crypto majors).
🪟 Tips & caveats
Swing Screener: Favor liquid underlyings (index futures/ETFs, large caps). Large-Cap, 2 M Vol, Mid-Cap, 500K Vol. Squeeze: BB( 20) upper < KC (20) upper, and BB (20) lower > KC (20) lower. Optional: Price above 9 SMA, 21 SMA, and 50 SMA, they are my SMA of choice. 200 SMA too, unless you are willing to fish in a bear market. Vice-versa for shorts. Optional: ADX 4 HR > 17, or 23 depending on what you are looking for.
Scalp Screener: Same as above, change the D 9 SMA to 5, and the BB/KC from D to 1 HR. Scalps may last 2~3 days.
Position Screener: Change all daily setting to W, aside from Volume. Optional: PEG < 1.5, FCF > 0, ROA > 8% or ROE > 6%.
Good with Moving averages (9/21/50) and low-volume zones.
Position size by IV, ATR, and account risk. Consider stop/hedge rules around ±2/±3 ATR.
Let alerts stage your watchlist; act only on combined squeeze + momentum signals.
Divergences in live mode can repaint (Real-Time); for algo or alerts, use on-close.
Tight/Very tight squeezes are great for scalps but choppy; combine with DMI rising + VPCI>0.
±3 ATR is exhaustion context, not an auto-fade—look for WVF/Div/DSL confirmation.
For alerts, pair “Fired Squeeze + Bullish Swing” (or bearish) to avoid false starts.
🎯 How to Trade Entry ~ Recap:
Tight/very tight squeeze → fires → momentum crosses up (or DSL bull).
Exit/Flip: Momentum crosses down into/after expansion or hits +2/+3 ATR with fade signs. Filter: Avoid fresh longs at +3 ATR; avoid fresh shorts at −3 ATR unless fading with confirmation.
📐 Options Integrations
✅ Risk Reversal/Modified Risk Reversal (Bullish: Short Put + Long Call)
Use when: Squeeze fires up from 🟡/🟣 and momentum crosses above signal (or zero/DSL).
Playbook Entry: On or just after the bullish fire and momentum upcross. DMI or Volume supports trend as well.
Structure: Sell a put at/just below the −2 ATR reference (or recent swing support). Buy a call at/above the breakout zone (prior high/mid-range +1 to +2 ATR).
A classic risk reversal is a long call plus a short put. That’s a very bullish structure—you gain if the price rallies (via the call), and you collect a premium by selling a put. But it has a naked downside risk. The modified risk reversal fixes that by adding a long lower put (making the short put into a defined put credit spread).
Management: If momentum stays above signal, ride toward +2 → +3 ATR. Sell the put near the current price → receive big premium. Buy the lower put → spend part of that premium (risk cap). Buy the call above the current price → spend more, but the short put premium mostly pays for it.
Exits/Adjust: Momentum downcross or squeeze flips back on (new compression) → reduce. If price retests −1/−2 ATR and holds, you can roll the short put down/out.
Breakout = Big Success; No Breakout = you keep the initial credit. Reversal = Max loss is capped by the long lower put.
✅ Iron Condor (Neutral: Short OTM Put Spread + Short OTM Call Spread)
Use when: Squeeze is active (🟡/🟣), momentum is flat near zero, and there is no directional edge. 🟢 lasts for around 5~8 bars typically. I measure the historical duration of it, and wait for a range period to occur.
Playbook Entry: During compression, set wings outside ±2 ATR (or recent range extremes). I prefer identifying boxes where the rectangle pattern occurs on the chart.
Management: Time decay works while price remains trapped in the coil. High-winrate ~80%, but 1 loser can wipe most of the gains.
Exits/Adjust: If a squeeze fires and momentum breaks hard one way, close the losing side, consider converting to a vertical or rotating to a directional spread aligned with momentum.
4HR-Bullish, closing one wing:
Tip: Align daily/weekly context with your intraday entries. 9 > 50 on Weekly, similar on Daily. Sell premium into compression; switch to directional spreads on expansion and momentum confirmation.
✅ Naked Call/Puts (Directional: 10~30 Delta Calls)
Stick to naked calls and puts when the squeezes are fired from either 🔴 or ⚫.
Look for Strikes slightly out of the money with an OI and Volume spread less than <10%.
If Strike Date is >45, manage 21 Days before expiration. Scalp: Expiration Strikes of 1/4 of the Squeeze period. Leap: Expiration Strikes of 1.75x of the Squeeze period.
📐 Futures Integrations
Playbook Entry:
Verify if the squeeze on the hourly is red or green, and enter on the 2- or 5-minute during a similar squeeze state.
Trend-Following: Traditional 2 Renko Block above 21 SMA and Momentum is bullish, or vice versa. (2~ES, 5~NQ)
Structure: Go long at/just below the ATR reference (or recent swing support). Exit below the breakout zone (prior high/mid-range +1 to +2 ATR).
Management: If momentum stays above +1 ATR ride toward +2 → +3 ATR, etc. House-money, should be kept.
Exits/Adjust: Momentum downcross or squeeze flips back on (new compression) → exit. On Renko Charts, lower the sensitivity to 0.7~1. If price retests 0/−1/−2 ATR and holds, you can enter when the 9 SMA flips. The 50 SMA is better for Daily and up; I wouldn't trade against it then.
📌 FOMO Trading Playbook
Credits & License
Credits: @JF10R (Multi-Timeframe Squeeze), @BigBeluga (DSL), @OskarGallard (Colored DMI base), @ChrisMoody (WVF ideas), @PineCodersTASC (VTTI/VPCI), @EliCobra (Divergence toolkit).
License: Mozilla Public License 2.0 (MPL-2.0).
Author: © GabrielAmadeusLau
Wskaźniki i strategie
unFair Value Gap Detector [theUltimator5]The unFair Value Gap Detector (uFVG) highlights imbalance zones that form when trend strength is weak but directional pressure spikes—a condition often followed by price reversion back into that level. Unlike the classic 3-candle ICT FVG, this tool is designed to help you have an unFair edge in gap retracement detection by plotting high probability gap reversion opportunities on the current timeframe and the next FIVE (yes five) higher timeframes.
What you’ll see:
Gap line per event: A single, no-nonsense line at the level price most often returns to.
Auto multi-timeframe view: uFVG ladders up through five higher timeframes and shows their levels too—each with its own color.
Smart de-clutter: Near-duplicate lines across timeframes are filtered so your chart stays readable.
Note: This indicator is intentionally minimalistic visually to minimize chart clutter, while still being an extremely powerful tool
Optional visuals:
Light background tint during quiet, coiling conditions.
Soft fill from price to the active line for quick context.
Compact labels that note the price and which timeframe printed it.
Why it is unique and effective (the “unfair” edge):
Early, practical context: Spots levels near when the imbalance forms—useful before the crowd catches on.
Clarity over noise: One line per event. No boxes, no sprawling zones, fewer “maybe” areas.
Timeframe confluence: When multiple timeframes cluster around the same price, you’ve got a stronger focal point.
Simple risk framing: If price slices through the line decisively, that idea’s done. Next.
How to use it:
Mean-reversion play: Look for price to tag the line, take profits into it, or fade a first reaction.
Continuation play: After the line is “mitigated,” reassess in the original direction.
Prioritize by timeframe: Higher-timeframe lines tend to carry more weight.
Respect clusters: Multiple lines stacked near one price often mark important pivots.
Customization
Colors: Separate colors for current and higher-timeframe lines.
Toggles: Turn on/off background highlights, line-to-price fill, and labels.
Minimal fuss: The rest is auto—timeframes, line lifecycle, and de-duplication are handled for you.
VSA Volume MonitorDescription
This script provides a clear and adaptable visual representation of volume activity, helping traders understand how current participation compares to recent norms.
It calculates a moving average of volume over a user-defined smoothing window and uses that baseline to classify each bar’s volume into several intensity levels.
Bars are color-coded to reflect these levels:
• Blue for below-average activity
• Green for moderate activity
• Yellow for above-average surges
• Red for exceptionally high or climactic volume
In addition to color-coded bars, the script plots two reference bands that represent the typical (baseline) and elevated (climactic) volume zones.
These bands form a shaded cloud that helps visually separate normal market participation from periods of unusual crowd activity or volatility.
The purpose of this indicator is purely visual and informational — it does not generate buy or sell signals, and it does not predict future price movement.
Instead, it gives traders an at-a-glance view of how market interest is shifting, so they can combine that context with their own analysis or strategy.
This tool is lightweight, easy to read, and designed for use alongside other forms of technical analysis, making it suitable for traders who want to build their own framework for understanding volume behavior.
Emas cryptosmart## General Summary
The Emas cryptosmart indicator is a technical analysis tool designed to provide a clear and comprehensive view of the market trend. It combines a long-term Hull Moving Average (HMA) to establish the overall trend with a faster, more responsive Triple Hull Moving Average (THMA) to identify short-term momentum.
Its primary feature is the dynamic candle coloring, which offers immediate visual cues about price direction, simplifying trading decisions.
## Indicator Components
This indicator is composed of two main lines:
Hull 200 (HMA): The Long-Term Trend Anchor
This line (dynamic lime/red by default) acts as a filter for the main market trend. Due to its 200-period setting, it moves smoothly and establishes the general context.
Uptrend: When the Hull 200 is rising (lime color), it indicates the macro trend is bullish.
Downtrend: When it is falling (red color), the macro trend is bearish.
THMA 55: The Short-Term Momentum Line
This line (dynamic aqua/orange by default) is a Triple Hull Moving Average. It is extremely fast and sensitive to recent price changes, designed to capture immediate momentum.
This is the key line for the candle coloring and for identifying potential entry or exit points.
## How to Interpret It
The primary strategy is to use the Hull 200 to define the direction for your trades and the THMA 55 to fine-tune your timing.
Candle Coloring (Main Signal):
Bullish Candles (default: aqua): When the price closes above the THMA 55, the candles turn to a bullish color. This signals that immediate momentum is positive and can be considered a buy signal or confirmation to stay in a long position.
Bearish Candles (default: orange): When the price closes below the THMA 55, the candles turn to a bearish color. This indicates that immediate momentum is negative, suggesting a potential sell or an exit from a long position.
Confluence Strategy:
The highest-probability signals occur when both moving averages are aligned.
Strong Buy Example: Look for a situation where the Hull 200 is rising (lime color) and wait for the candles to turn bullish as the price crosses above the THMA 55.
Strong Sell Example: Look for a situation where the Hull 200 is falling (red color) and wait for the candles to turn bearish as the price crosses below the THMA 55.
## Key Features
Visual Clarity: Automatic candle coloring eliminates the need to constantly interpret crosses, allowing for a quick read of the market's state.
Dual Perspective: Offers a balanced view by combining a slow trend indicator with a fast momentum indicator.
Reduced Lag: The use of Hull variants minimizes the delay typical of conventional moving averages (SMAs/EMAs).
Fully Customizable: All colors, for both the lines and the candles, can be adjusted in the settings menu to fit your visual style.
oscillator fast cryptosmart (Bands on Scale)The oscillator fast cryptosmart is a high-sensitivity momentum indicator designed to generate signals more rapidly than many traditional oscillators, such as the MACD. It is engineered to detect potential price breakouts by analyzing short-term market cycles.
At its core, the indicator uses a Detrended Price Oscillator (DPO) to remove the longer-term trend from price action, allowing it to focus purely on the underlying momentum cycles. It then calculates dynamic volatility bands around this oscillator line.
Signals are generated when momentum breaks out from a normal range, providing traders with an early warning of a potential acceleration in price.
How to Interpret the Signals:
Buy Signal (Green Vertical Line): A buy signal is generated when the oscillator's main line (yellow) crosses above its upper statistical band. This indicates a sharp surge in positive momentum, suggesting a potential upward move is beginning.
Sell Signal (Red Vertical Line): A sell signal is generated when the oscillator's main line crosses below its lower statistical band. This indicates a significant increase in negative momentum, suggesting a potential downward move is starting.
By focusing on momentum breakouts rather than lagging moving average crossovers, the oscillator fast cryptosmart aims to provide an edge in identifying opportunities in fast-moving markets.
oi + funding oscillator cryptosmartThe oi + funding oscillator cryptosmart is an advanced momentum tool designed to gauge sentiment in the crypto derivatives market. It combines Open Interest (OI) changes with Funding Rates, normalizes them into a single oscillator using a z-score, and identifies potential market extremes.
This provides traders with a powerful visual guide to spot when the market is over-leveraged (overheated) or when a significant deleveraging event has occurred (oversold), signaling potential reversals.
How It Works
Combined Data: The indicator tracks the rate of change in Open Interest and the value of Funding Rates.
Oscillator: It blends these two data points into a single, smoothed oscillator line that moves above and below a zero line.
Extreme Zones:
Overheated (Red Zone): When the oscillator enters the upper critical zone, it suggests excessive greed and high leverage, increasing the risk of a sharp correction (long squeeze). A cross below this level generates a potential sell signal.
Oversold (Green Zone): When the oscillator enters the lower critical zone, it indicates panic, liquidations, and a potential market bottom. A cross above this level generates a potential buy signal.
Trading Strategy & Timeframes
This oscillator is designed to be versatile, but its effectiveness can vary depending on the timeframe.
Optimal Timeframes (1H and 4H): The indicator has shown its highest effectiveness on the 1-hour and 4-hour charts. These timeframes are ideal for capturing significant shifts in market sentiment reflected in OI and funding data, filtering out short-term noise while still providing timely reversal signals.
Lower Timeframes (e.g., 1-min, 5-min, 15-min): On shorter timeframes, the oscillator is still a highly effective tool, but it is best used as a confluence factor within a broader trading system. Due to the increased noise on these charts, it is not recommended to use its signals in isolation. Instead, use it as a final argument for entry. For example, if your primary scalping strategy gives you a buy signal, you can check if the oscillator is also exiting the oversold (green) zone to add a powerful layer of confirmation to your trade.
Heikin Ashi Overlay SuiteHeikin Ashi Overlay Suite is designed to give traders more control and clarity when working with Heikin Ashi candles — whether you're analyzing trend strength, reducing chart noise, or simply improving your visual read of market momentum. It works by layering multiple types of HA overlays and color systems on top of your standard candlestick chart — without switching chart types. With dynamic gradient coloring, smoothing options, and a predictive line tool, this script helps you see not just what the current trend is, but how strong it is, and what it would take to reverse it.
Heikin Ashi candles help reduce noise but this script goes further by:
➡️adding color intelligence that shows trend strength using a streak counter
➡️uses smoothing logic to clean up chop and whipsaws
➡️introduces a predictive close line — a subtle but powerful guide for anticipating trend flips before they happen
Everything is configurable: colors, candle sources, overlays, predictive tools, and line styles. It’s built for traders who want visual speed, but don’t want to sacrifice signal quality.
At its core, the script offers two powerful dropdown controls:
💥HA Color Scheme (Colors Regular Candles) — Applies Heikin Ashi-derived coloring to your regular candles based on trend direction or streak strength. This gives you instant visual context without switching to a separate chart type.
💥HA Candle Overlay Mode — Overlays actual Heikin Ashi-style candles directly on top of your chart, using your preferred source:
➡️Custom HA candles using internal formula logic
➡️TradingView’s built-in Heikin Ashi source with your own colors
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
🎨 Custom + Gradient HA Coloring🎨
See trend strength at a glance:
➡️1–4 bar streaks → lighter tone
➡️5–8 bars → medium tone
➡️9+ bars → bold tone, ideal for momentum-based entries, exits, or scaling strategies
→ Choose from:
➡️Your own custom color set
➡️A simple 2-color base mode
➡️Or a 3-level gradient for progressive trend analysis (using the streak counter)
🏛️ TradingView Official Heikin Ashi Overlay
Prefer native HA candles but want your own colors?
This mode plots TradingView's Heikin Ashi source, with your personal bullish/bearish color scheme.
➡️Ensures consistency with built-in charts while still leveraging your visual style.
🌊 Smoothed Heikin Ashi Candles — Clarity in Chaos🌊
These aren’t your standard HA candles. Smoothed Heikin Ashi uses a two-step EMA process to transform chaotic price action into a cleaner, slower-moving trend structure:
🔹 First, it smooths the raw OHLC data using EMA — filtering out minor price fluctuations.
🔹 Then, it applies the Heikin Ashi transformation on top of the smoothed data.
🔹 Finally, it applies a second EMA smoothing pass to the HA values — creating ultra-smooth candles.
📈 What You See:
Trends appear more fluid and consistent.
Choppy ranges and fakeouts are visually suppressed.
Minor pullbacks within a trend are de-emphasized, helping you avoid premature exits.
🎯 Best For:
Swing traders looking to stay in positions longer.
Intraday traders dealing with volatile or noisy instruments.
Anyone who wants a "trend map" overlay without the distractions of raw price action.
✅ Reduces whipsaws
✅ Delivers high-contrast trend zones
✅ Makes reversals more visually apparent (but with a slight lag)
📍 Predictive Close Line📍
Shows where the real close must land to flip the current HA candle's color.
✅ Use it like predictive support/resistance
✅ Know if the trend is actually at risk
✅Visualize potential fakeouts or confirmation
Color-coded based on current HA direction (bullish, bearish, or neutral).
📈 Tick by tick & bar-to-bar Plots📈
Provides 2 plot types:
1)1 plot that tracks a bar tick by tick
2)another plot that tracks the close from bar to bar
For the bar to bar plot, you can choose between 2 options:
✅Full Plot — continuous line colored by HA trend
✅Recent Segments — color just the last few bars (configurable) to reduce chart clutter
✅ Customize width, number of bars, and visibility
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📘 How to Use this script📘
Imagine you're watching a choppy 15-minute chart on a volatile crypto pair — price action is messy, and it’s hard to tell if a trend is forming or just noise.
Here’s how to cut through the chaos using Heikin Ashi Overlay Suite:
🔹 Step 1: Enable "Smoothed HA Candles"
Start by turning on the smoothed candles. You’ll immediately notice the noise fades, and broader directional moves become easier to follow. It's like switching from static to clean trend zones.
🧠 Why: Smoothed HA uses a double EMA process that filters out small reversals and lets larger moves stand out. Perfect for sideways or jittery charts.
🔹 Step 2: Watch the Color Gradient Build
As the smoothed candles begin to align in one direction, the gradient coloring (1–4, 5–8, 9+ streaks) gives you an at-a-glance visual of how strong the trend is.
✅ If you see 9+ same-colored candles? You’re likely in a mature trend.
✅ If it resets often? You’re in chop — consider staying out.
🔹 Step 3: Use the Predictive Close Line for Anticipation
Now here’s the edge — this line tells you where the candle would have to close to flip colors.
📉 If price is hovering just above it during a bullish run — momentum may be weakening.
📈 If price bounces off it — the trend may be strengthening.
This is excellent for confirming entries, exits, or spotting early warning signs.
🔹 Step 4: Switch Between Candle Modes as Needed
You can flip between:
✅ Custom HA: Gradient candles with your colors
✅ TradingView HA: The official source with your styling
✅ None: Just color regular candles using the HA logic
Use what fits your style — everything is modular.
🔹 Step 5: Tune It to Your Chart
Lastly, tweak streak thresholds (currently only can do this within the source code), smoothing lengths, and line styles to match your timeframe and strategy.
🎯 Tailor The Settings to Fit Your Trading Style🎯
🔹 🧪 Scalper (1–5 min charts)
If you’re trading fast intraday moves, you want quicker responsiveness and less lag.
Try these settings:
🔸Smoothing Lengths: Use lower values (e.g. len = 3, len2 = 5)
🔸Candle Mode: Use Custom HA or TV’s HA for real-time color flips
🔸Predictive Close Line: Great for ultra-fast anticipation of color reversals
🔸Line Mode: Use Recent Segments mode to track short bursts of trend
🔸Colors: Use high-contrast, opaque colors for clarity
✅ These settings help you catch micro-trends and flip signals faster, while still filtering out the worst of the noise.
🔹 🧪 Swing Trader (30m–4h charts and beyond)
If you’re looking for multi-hour or multi-day trend confirmation, prioritize clarity and staying in moves longer.
Recommended setup:
🔸Smoothing Lengths: Medium to high values (e.g. len = 8, len2 = 21)
🔸Candle Mode: Use Smoothed HA Candles to block out intrabar chop
🔸Gradient Colors: Enable to visualize trend maturity and strength
🔸Predictive Close Line: Helps confirm trend continuation or spot early reversals
🔸Line Mode: Use Full Plot Line for clean HA-based trend tracking
✅ These settings give you a calm, clean view of the bigger picture — ideal for holding positions longer and avoiding early exits.
🔧 This script isn’t just a chart overlay — it’s a visual trend engine.🔧
Ideal For:
🔶 Trend-followers who want clean, color-coded confirmation
🔶 Reversal traders spotting exhaustion via predictive flips
🔶 Scalpers filtering noise with lighter smoothing
🔶 Swing traders using smoothed visuals to hold longer
📌 Final Note
Heikin Ashi Overlay Pro is designed to help you see momentum, trend shifts, and market structure with greater clarity — not to predict price on its own. For best results:
✔️ Combine with support/resistance, moving averages, or price action patterns
✔️ Use Predictive Close as a confirmation tool, not a signal generator
✔️ Pair gradient colors with structure to gauge trend maturity
✔️ Always zoom out and check higher timeframes for context
🧠 Use this as part of a layered approach — not a standalone system.
🙏 Credits🙏
⚡HA logic based on SimpleCryptoLife
⚡Smoothed HA concept adapted from a script by Jackvmk
💡💡💡Turn logic into clarity. Structure into trades. And uncertainty into confidence.💡💡💡
Otekura Range Trade Algorithm [Tradebuddies]The Range Trade Algorithm calculates the levels for Monday.
On the chart you will see that the Monday levels will be marked as 1 0 -1.
The M High level calculates Monday's high close and plots it on the screen.
M Low calculates the low close of Monday and plots it on the screen.
The coloured lines on the screen are the points of the range levels formulated with fibonacci values.
The indicator has its own Value table. The prices of the levels are written.
Potential Range breakout targets tell prices at points matching the fibonacci values. These are Take profit or reversal points.
Buy and Sell indicators are determined by the range breakout.
Users can set an alarm on the indicator and receive direct notification with their targets when a new range occurs.
Fib values are multiplied by range values and create an average target according to the price situation. These values represent an area. Breakdown targets show that the target is targeted until the area.
DMI Histogram IndicatorThe Directional Movement Index (DMI) was originally developed by J. Welles Wilder Jr. in 1978. Wilder introduced the DMI along with the Average Directional Index (ADX) in his book, “New Concepts in Technical Trading Systems,” which became a foundational reference for technical analysis.
The indicator can be a bit intimidating for people to interpret if they aren't familiar with it. So this DMI Histogram uses the underlying DMI data to present a different way to visualize the price movement and trend. The goal is to help provide insight into the rising or falling momentum behind the price, at times when the chart itself may not be as obvious. This could potentially help spot a momentum divergence before it plays out on the chart.
The user has the option of displaying ADX reversals as red and green arrows. The ADX is the trend indicator portion of the DMI. When it changes direction, that sometimes leads to shift in who is exerting the most influence on the price, buyers or sellers.
The user also has the option of coloring the candlesticks to match the histogram.
This indicator is meant to be combined with other indicators and other chart analysis tools.
MTF Levels [OmegaTools]📖 Introduction
The Ω Levels Indicator is a complete market structure and level-mapping framework designed to help traders identify key zones where price is likely to react.
It blends classic technical anchors (VWAP, pivots, means, standard deviations) with modern statistical pattern recognition to dynamically project areas of manipulation, extension, and equilibrium.
At its core, Ω Levels creates an evolving map of market balance vs. imbalance, showing traders where liquidity is most likely to build and where price could pivot or accelerate.
But what makes it truly unique is the Pivot Forecaster — an embedded predictive engine that applies machine-learning inspired logic to recognize conditions that historically precede market turning points.
🔎 Key Features
Customizable Levels Framework
Define up to three levels (manipulation, extensions, VWAP, pivots, stdev bands, or prior extremes).
Choose mean references such as Open, VWAP, Pivot Mean, or Previous Session Mean.
Style controls (solid, dotted, dashed) and fill modes (internal, external, ranges) allow you to adapt the chart to your visual workflow.
Dynamic Zone Highlighting
Automatic fills between internal/external levels, or between specific level pairs (1–2, 1–3, 2–3).
Makes it easy to visualize value areas, expansions, and compression zones at a glance.
Multi-Timeframe Anchoring
Works on any timeframe, but calculations can be anchored to a higher timeframe (e.g., show daily VWAP & pivots on a 15m chart).
This allows traders to align intraday execution with higher timeframe context.
Pivot Forecaster (Machine Learning / Pattern Recognition)
This is the advanced predictive component.
The algorithm collects historical conditions observed around pivot highs and lows (volume state, ATR state, % candle expansion, oscillator conditions).
It then builds statistical “profiles” of typical pivot behavior and compares them in real-time against current market conditions.
When conditions match the “signature” of a pivot, the indicator highlights a Forecast Pivot High or Forecast Pivot Low (displayed as small diamond markers).
This functions as a pattern-recognition system, effectively learning from past pivots to anticipate where the next turning point is more likely to occur.
⚡ How Traders Can Use It
Intraday Execution: Use VWAP, manipulation, and extension levels to frame trades around liquidity zones.
Swing Context: Overlay higher timeframe pivots and means to guide medium-term positioning.
Fade Setups: Forecasted pivots often coincide with exhaustion zones where fading momentum carries edge.
Breakout Validation: When price breaks a structural level but the forecaster does not confirm a pivot, continuation probability is higher.
Risk Management: Levels provide natural stop/target placements, while pivot forecasts serve as warning signals for potential reversals.
⚙️ Settings Overview
Timeframe: Choose the anchor timeframe for calculations (default: Daily).
Means: Two selectable mean references (Open, VWAP, Pivot Point, Previous Mean).
Levels: Three levels can be customized (Manipulation, Extension, 1–2 StDev, Pivot Point, VWAP, Previous Extremes).
Fill Modes: Highlight zones between internal/external levels or custom ranges.
Visual Customization: Colors, line styles, fill opacity, and toggle for old levels.
Pivot Forecaster: Fully automated — no settings required, it adapts to instrument and timeframe.
🧭 Best Practices
Align Levels With Market Profile: Treat the levels as dynamic S/R zones and watch how price interacts with them.
Use Forecaster as Confirmation: The diamonds are not standalone signals; they are context filters that help you decide whether a move has higher reversal odds.
Higher Timeframe Anchoring: On intraday charts, set the timeframe to Daily or Weekly to trade with institutional levels.
Combine With ATR: Pair with the Ω ATR Indicator to size positions according to volatility while Ω Levels provides the structural roadmap.
📌 Summary
The Ω Levels Indicator is more than a level plotter — it’s a market map + predictive engine.
By combining traditional levels with an intelligent pivot forecaster, it gives traders both the static structure of where price should react, and the dynamic signal of where it is likely to react next.
This dual-layer approach — structural + predictive — makes it an invaluable tool for discretionary intraday traders, swing traders, and anyone who wants to anticipate price behavior instead of just reacting to it.
Imbalance (FVG)Indicator Description
This script is designed to automatically identify and visualize Fair Value Gaps (FVGs), also known as Imbalances, on your chart. An FVG is a key price action concept that highlights areas where the price moved swiftly, leaving a gap behind. This indicator is simple to use and fully customizable, making it an excellent tool for both novice and experienced traders.
Key Features
Automatic Detection: The indicator scans the market in real-time, automatically drawing FVG zones for both Bullish and Bearish moves.
Mitigation Tracking: When the price returns to an FVG zone, the indicator automatically marks it as "mitigated" (filled) by changing its color and style. This provides a clear signal that the imbalance has been neutralized.
Extend Zones Into the Future: Unmitigated FVG zones are automatically extended into the future, allowing them to be used as potential future support or resistance levels.
Full Customization: The user has complete control over the indicator's appearance. You can change the colors for bullish, bearish, and mitigated zones, as well as toggle their visibility on and off.
Performance Optimization: A built-in limit for the number of drawn objects prevents chart clutter and avoids errors from TradingView's drawing limits, ensuring smooth performance.
How to Use?
FVG zones can be used in various ways, including:
Price Magnets: Markets often tend to revert to "fill" these gaps.
Potential Entry Points: Price entering an FVG zone can present an opportunity to open a position, especially if confirming signals appear.
Support/Resistance Zones: Unfilled gaps can act as strong, dynamic levels of support or resistance.
Omega ATR Indicator📖 Introduction
The Ω ATR Indicator was created to provide a more complete and professional framework for volatility analysis than the classic Average True Range (ATR).
While the traditional ATR is a useful tool, it has limitations: it delivers a simple rolling average of volatility, but it does not adapt to market regimes, it does not highlight extreme events, and it often leaves the trader with incomplete information about risk.
The Ω ATR takes the same foundation and elevates it into a multi-dimensional volatility dashboard, adding statistical layers, adaptive calculations, and clear visual references that allow traders to interpret volatility in a way that is immediately actionable.
🔎 What makes it different from a standard ATR?
This indicator introduces several features beyond the classic formula:
True Range Core – plots the raw True Range (TR) for each bar, providing a direct, bar-by-bar view of volatility impulses.
Standard & Adjusted ATR – includes both the conventional ATR (smoothed average) and an Adjusted ATR that automatically corrects for extreme conditions by incorporating percentile rescaling.
Percentile Volatility Levels – dynamically calculated extreme thresholds (99.8%, 75%, 50%, 25%), plotted as dotted levels across the chart. These act as reference lines for “normal” vs. “abnormal” volatility, useful for spotting unusual price expansions or contractions.
Linear Regression Volatility Trend – overlays a regression line of volatility, showing whether the market is moving toward expansion (rising vol), contraction (falling vol), or stability.
Monetary Value Translation – the indicator converts volatility into points, ticks, and dollar values (based on the instrument’s point value). This allows futures traders and high-value instruments users to immediately see how much volatility is “worth” in cash terms.
Interactive Table Display – a real-time statistics table is displayed directly on the chart, showing:
SMA of ATR in $ and points
Percentile-based volatility range (VAR) in $ and points
Tick equivalences, for quick position sizing
⚡ How traders can use it
The Ω ATR Indicator is designed to be versatile, fitting both discretionary traders and systematic strategy developers.
Risk Management: ATR-based stop losses and position sizing are significantly improved by using the adjusted ATR and percentile thresholds. Traders can size their positions according to volatility regimes, not just raw averages.
Breakout & Exhaustion Detection: When TR or ATR values spike above the 99.8% or 95% percentile levels, this often corresponds to breakout conditions or volatility exhaustion — useful for breakout strategies, mean-reversion setups, and volatility fades.
Market Regime Identification: The regression line helps distinguish if volatility is rising (trending environment, larger swings expected) or compressing (range-bound environment, lower risk opportunities).
Multi-Asset Flexibility: Works equally well on equities, futures, crypto, and FX. Its point/tick/dollar conversion makes it especially powerful for futures traders who need to quantify risk precisely.
Scalping to Swing Trading: On lower timeframes, it acts as a micro-volatility detector; on higher timeframes, it functions as a strategic risk gauge for position management.
⚙️ Settings and Customization
Length: The ATR lookback period (default = 34).
Shorter lengths (14–21) for intraday traders who want fast response.
Longer lengths (34–55) for swing/position traders who want smoother readings.
AVG / ADJ AVG: Toggle to display the standard ATR or the adjusted ATR.
Volatility Levels: Enable/disable up to 4 percentile-based levels (1st = 25%, 2nd = 50%, 3rd = 75%, 4th = 99.8%). Recommended: keep 3 levels active for clarity.
Color Controls: All plots and levels are fully customizable to match your chart style.
Table Display: Positioned on the chart (default: middle-right) with key values updated in real time.
🧭 Best Practices for Use
Combine with Trend Tools: Volatility readings are most powerful when combined with trend filters or volume analysis. For example, a breakout with both high volatility and trend confirmation is stronger than either alone.
ATR Stops: Use the Adjusted ATR rather than the standard one when trailing stops in highly volatile instruments like crypto or Nasdaq futures, as it adapts to outlier spikes.
Dollar Risk Translation: Use the dollar-value outputs to predefine maximum acceptable risk per trade (e.g., “I only risk $250 per position”). This bridges volatility to portfolio risk management.
Event Monitoring: Around economic events or earnings, expect volatility spikes above higher percentile levels. The indicator makes these moves instantly visible.
📌 Summary
The Ω ATR Indicator is not just “another ATR.” It is a comprehensive volatility framework that transforms volatility from a simple statistic into an actionable trading signal.
By combining:
the classic ATR,
an adjusted ATR,
percentile extremes,
regression-based volatility trends,
and real-time dollar conversions,
…this tool allows traders to precisely understand, visualize, and act on volatility in ways that a standard ATR simply cannot provide.
Whether you are scalping intraday moves, swing trading equities, or managing futures positions, the Ω ATR equips you with a professional-grade volatility dashboard that clarifies risk, highlights opportunity, and adapts across all markets and timeframes.
👉 Designed and developed by OmegaTools for traders who demand precision, clarity, and adaptability in their volatility analysis.
ICT Institutional Order Flow (Riz)This indicator implements Inner Circle Trader (ICT) institutional order flow concepts to identify high-probability entry points where smart money is actively participating in the market. It combines volume analysis, market structure, and price action patterns to detect institutional accumulation and distribution zones.
Core Concepts & Methodology
1. Institutional Order Blocks Detection
Order blocks represent the last opposing candle before a strong directional move, indicating institutional accumulation (bullish) or distribution (bearish) zones.
How it works:
⦁ Identifies the final bearish candle before bullish expansion (accumulation)
⦁ Identifies the final bullish candle before bearish expansion (distribution)
⦁ Validates with volume spike (2x average) to confirm institutional participation
⦁ Requires minimum 0.5% price displacement to filter weak moves
⦁ Tracks these zones as future support/resistance levels
2. Fair Value Gap (FVG) Analysis
FVGs are price inefficiencies created by aggressive institutional orders that leave gaps in price action.
Detection method:
⦁ Bullish FVG: When current low > high from 2 bars ago
⦁ Bearish FVG: When current high < low from 2 bars ago
⦁ Minimum gap size filter (0.1% default) eliminates noise
⦁ Monitors gap fills with volume for entry signals
⦁ Gaps act as magnets drawing price back for "rebalancing"
3. Liquidity Hunt Detection
Institutions often trigger retail stop losses before reversing direction, creating liquidity for their positions.
Algorithm:
⦁ Calculates rolling 20-period highs/lows as liquidity pools
⦁ Detects wicks beyond these levels (0.1% sensitivity)
⦁ Identifies rejection back inside range (liquidity grab)
⦁ Volume spike confirmation ensures institutional involvement
⦁ These reversals often mark significant turning points
4. Volume Profile Integration
Analyzes volume distribution across price levels to identify institutional interest zones.
Components:
⦁ Point of Control (POC): Price level with highest volume (institutional consensus)
⦁ Value Area: 70% of volume range (institutional comfort zone)
⦁ Uses 50-bar lookback to build volume histogram
⦁ 20 price levels for granular distribution analysis
5. Market Structure Analysis
Determines overall trend bias using pivot points and swing analysis.
Process:
⦁ Identifies swing highs/lows using 3-bar pivots
⦁ Bullish structure: Price above last swing high
⦁ Bearish structure: Price below last swing high
⦁ Filters signals to trade with institutional direction
Signal Generation Logic
BUY signals trigger when ANY condition is met:
1. Order Block Formation: Bearish-to-bullish transition + volume spike + strong move
2. Liquidity Grab Reversal: Sweep below lows + recovery + volume spike
3. FVG Fill: Price fills bullish gap with institutional volume (within 3 bars)
4. Order Block Respect: Price bounces from previous bullish OB + volume
SELL signals trigger when ANY condition is met:
1. Order Block Formation: Bullish-to-bearish transition + volume spike + strong move
2. Liquidity Grab Reversal: Sweep above highs + rejection + volume spike
3. FVG Fill: Price fills bearish gap with institutional volume (within 3 bars)
4. Order Block Respect: Price rejects from previous bearish OB + volume
Additional filters:
⦁ Signals align with market structure (no counter-trend trades)
⦁ No new signals while position is active
⦁ All signals require volume confirmation (institutional fingerprint)
Trading Style Auto-Configuration
The indicator features intelligent preset configurations for different trading styles:
Scalping Mode (1-5 min charts):
⦁ Volume multiplier: 1.5x (more signals)
⦁ Tighter parameters for quick trades
⦁ Risk:Reward 1.5:1, ATR multiplier 1.0
Day Trading Mode (15-30 min charts):
⦁ Volume multiplier: 1.7x (balanced)
⦁ Medium sensitivity settings
⦁ Risk:Reward 2:1, ATR multiplier 1.5
Swing Trading Mode (1H-4H charts):
⦁ Volume multiplier: 2.0x (quality focus)
⦁ Conservative parameters
⦁ Risk:Reward 3:1, ATR multiplier 2.0
Custom Mode:
⦁ Full manual control of all parameters
Visual Components
⦁ Order Blocks: Colored rectangles (green=bullish, red=bearish)
⦁ Fair Value Gaps: Orange boxes showing imbalances
⦁ Liquidity Levels: Dashed blue lines at key highs/lows
⦁ Volume Spikes: Yellow background highlighting
⦁ POC Line: Orange line showing highest volume price
⦁ Value Area: Blue shaded zone of 70% volume
⦁ Buy/Sell Signals: Triangle markers with text labels
⦁ Stop Loss/Take Profit: Dotted lines (red/green)
Information Panel
Real-time dashboard displaying:
⦁ Current trading mode
⦁ Volume ratio (current vs average)
⦁ Market structure (bullish/bearish)
⦁ Active order blocks count
⦁ Position status
⦁ Configuration details
How to Use
Step 1: Select Trading Style
Choose your style in settings - all parameters auto-adjust
Step 2: Timeframe Selection
⦁ Scalping: 1-5 minute charts
⦁ Day Trading: 15-30 minute charts
⦁ Swing: 1H-4H charts
Step 3: Signal Interpretation
⦁ Wait for BUY/SELL markers
⦁ Check volume ratio >2 for strong signals
⦁ Verify market structure alignment
⦁ Note automatic SL/TP levels
Step 4: Risk Management
⦁ Default 2:1 risk:reward (adjustable)
⦁ Stop loss: 1.5x ATR from entry
⦁ Position sizing based on stop distance
Best Practices
1. Higher probability setups occur when multiple conditions align
2. Volume confirmation is crucial - avoid signals without volume spikes
3. Trade with structure - longs in bullish, shorts in bearish structure
4. Monitor POC - acts as dynamic support/resistance
5. Confluence zones where OBs, FVGs, and liquidity levels overlap are strongest
Important Notes
⦁ Not a standalone system - combine with your analysis
⦁ Works best in trending markets with clear structure
⦁ Adjust settings based on instrument volatility
⦁ Backtest thoroughly on your specific markets
⦁ Past performance doesn't guarantee future results
Alerts Available
⦁ ICT Buy Signal
⦁ ICT Sell Signal
⦁ Volume Spike Detection
⦁ Liquidity Grab Detection
This indicator provides a systematic approach to ICT concepts, helping traders identify where institutions are entering positions through volume analysis and key price action patterns. The auto-configuration feature ensures optimal settings for your trading style without manual adjustment.
Disclaimer
This tool is for educational and research purposes only. It is not financial advice, nor does it guarantee profitability. All trading involves risk, and users should test thoroughly before applying live.
Outside the Bollinger Bands Alerting Indicator Overview
The Outside the Bollinger Bands Alerting Indicator is a comprehensive technical analysis tool that combines multiple proven
indicators into a single, powerful system designed to identify high-probability reversal patterns at Bollinger Band extremes. This
indicator goes beyond simple band touches to detect sophisticated pattern formations that often signal strong directional moves.
Key Features & Capabilities
🎯 Advanced Pattern Recognition
Bollinger Band Breakout Patterns
- Detects "pierce-and-reject" formations where price breaks through a Bollinger Band but immediately reverses back inside
- Identifies failed breakouts that often lead to strong moves in the opposite direction
- Combines multiple confirmation signals: engulfing candle patterns, MACD momentum, and ATR volatility filters
- Visual alerts with symbols positioned below (bullish) or above (bearish) candles
Tweezer Top & Bottom Patterns
- Identifies consecutive candles with nearly identical highs (tweezer tops) or lows (tweezer bottoms)
- Requires at least one candle to breach the respective Bollinger Band
- Confirms reversal with directional close requirements
- Customizable tolerance settings for pattern sensitivity
- Visual alerts with ❙❙ symbols for easy identification
📊 Multi-Indicator Integration
Bollinger Bands Indicator
- Dual-band configuration with outer (2.0 std dev) and inner (1.5 std dev) bands that can be adjusted to suit your own parameters
- Configurable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA
- Customizable length, source, and offset parameters
- Color-coded band fills for visual clarity
Moving Average Suite
- EMA 9, 21, 50, and 200 (individually toggleable)
- Special "SMA 3 High" for help visualizing and detecting Bollinger Band break-outs
- Dynamic color coding based on price relationship
Optional Ichimoku Cloud overlay
- Complete Ichimoku implementation with customizable periods
- Dynamic cloud coloring based on trend direction
- Toggleable overlay that doesn't interfere with other indicators
🚨 Comprehensive Alert System
Real-Time JSON Alerts
- Sends structured data on every confirmed bar close
- Includes all indicator values: BB levels, EMAs, MACD, RSI
- Contains signal states and crossover conditions
- Perfect for automated trading systems and webhooks
{"timestamp":1753118700000,"symbol":"ETHUSD","timeframe":"5","price":3773.3,"bollinger_bands":{"upper":3826.95,"basis":3788.32,"lower":3749.68},"emas":{"ema_9":3780.45,"ema_21":3788.92,"ema_50":3800.79,"ema_200":3787.74,"sma_3_high":3789.45},"macd":{"macd":-10.1932,"signal":-11.3266,"histogram":1.1334},"rsi":{"rsi":40.5,"rsi_ma":39.32,"level":"neutral"}}
Specific Alert Conditions
- MACD histogram state changes (rising to falling, falling to rising)
- RSI overbought/oversold crossovers
- All pattern detections (BB Bounce, Tweezer patterns)
- Bollinger Band breakout alerts
🎨 Visual Elements
Pattern Identification
- ♻ symbols for Bollinger Band breakout patterns (green for bullish, red for bearish)
- ❙❙ symbols for tweezer patterns (green below for bottoms, red above for tops)
- Color-coded band fills for trend visualization
Chart Overlay Options
- All moving averages with distinct colors
- Bollinger Bands with inner and outer boundaries
- Optional Ichimoku cloud with trend-based coloring
Trading Applications
Reversal Trading
- Identify high-probability reversal points at extreme price levels
- Use failed breakout patterns for entry signals
- Combine multiple timeframes for enhanced accuracy
Trend Analysis
- Monitor moving average relationships for trend direction
- Use Ichimoku cloud for trend strength assessment
- Track momentum with MACD and RSI integration
Risk Management
- ATR-based volatility filtering reduces false signals
- Multiple confirmation requirements improve signal quality
- Real-time alerts enable prompt decision making
Suggested Use
- Use on multiple timeframes for confluence
- Combine with support/resistance levels for enhanced accuracy
- Set up alerts for hands-free monitoring
- Customize settings based on market volatility and trading style
- Consider volume confirmation for stronger signals
Sessions Highs/LowsThis indicator plots the High and Low of the three main trading sessions:
Asia (20:00–03:00) – green lines
London (03:00–08:00) – blue lines
New York (08:00–13:00) – red lines
Features:
Levels update in real time during each session.
When a new session starts, the previous lines are deleted – only the latest active sessions remain visible.
Default session times are set to Asia (20:00–03:00), London (03:00–08:00), and New York (08:00–13:00), but you can adjust them to your own custom hours in the settings.
Colors can also be customized.
Use cases:
Quickly visualize session ranges.
Track session highs/lows for breakouts, fakeouts, and reactions around liquidity zones.
Dual Best MA Strategy AnalyzerDual Best MA Strategy Analyzer (Lookback Window)
What it does
This indicator scans a range of moving-average lengths and finds the single best MA for long crossovers and the single best MA for short crossunders over a fixed lookback window. It then plots those two “winner” MAs on your chart:
Best Long MA (green): The MA length that would have made the highest total profit using a simple “price crosses above MA → long; exit on cross back below” logic.
Best Short MA (red): The MA length that would have made the highest total profit using “price crosses below MA → short; exit on cross back above.”
You can switch between SMA and EMA, set the min/max length, choose a step size, and define the lookback window used for evaluation.
How it works (brief)
For each candidate MA length between Min MA Length and Max MA Length (stepping by Step Size), the script:
Builds the MA (SMA or EMA).
Simulates a naïve crossover strategy over the last Lookback Window candles:
Long model: enter on crossover, exit on crossunder.
Short model: enter on crossunder, exit on crossover.
Sums simple P&L in price units (no compounding, no fees/slippage).
Picks the best long and best short lengths by total P&L and plots those two MAs.
Note: Long and short are evaluated independently. The script plots MAs only; it doesn’t open positions.
Inputs
Min MA Length / Max MA Length – Bounds for MA search.
Step Size – Spacing between tested lengths (e.g., 10 tests 10, 20, 30…).
Use EMA instead of SMA – Toggle average type.
Lookback Window (candles) – Number of bars used to score each MA. Needs enough history to be meaningful.
What the plots mean
Best Long MA (green): If price crosses above this line (historically), that MA length produced the best long-side results over the lookback.
Best Short MA (red): If price crosses below this line (historically), that MA length produced the best short-side results.
These lines can change over time as new bars enter the lookback window. Think of them as adaptive “what worked best recently” guides, not fixed signals.
Practical tips
Timeframe matters: Run it on the timeframe you trade; the “best” length on 1h won’t match 1m or 1D.
Step size trade-off: Smaller steps = more precision but heavier compute. Larger steps = faster scans, coarser choices.
Use with confirmation: Combine with structure, volume, or volatility filters. This is a single-factor tester.
Normalization: P&L is in raw price units. For cross-symbol comparison, consider using one symbol at a time (or adapt the script to percent P&L).
Limitations & assumptions
No fees, funding, slippage, or position sizing.
Simple “in/out” on the next crossover; no stops/targets/filters.
Results rely on lookback choice and will repaint historically as the “best” length is re-selected with new data (the plot is adaptive, not forward-fixed).
The script tests up to ~101 candidates internally (bounded by your min/max/step).
Good uses
Quickly discover a recently effective MA length for trend following.
Compare SMA vs EMA performance on your market/timeframe.
Build a playbook: note which lengths tend to win in certain regimes (trending vs choppy).
Not included (by design)
Alerts, entries/exits, or a full strategy report. It’s an analyzer/overlay.
If you want alerts, you can add simple conditions like:
ta.crossover(close, plotLongMA) for potential long interest
ta.crossunder(close, plotShortMA) for potential short interest
Changelog / Notes
v1: Initial release. Array-based scanner, SMA/EMA toggle, adaptive long/short best MA plots, user-set lookback.
Disclaimer
This is educational tooling, not financial advice. Test thoroughly and use proper risk management.
MACD ProThe MACD Pro is a modern take on the classic MACD, designed to give traders deeper insights into market momentum, trend conditions, and potential turning points. While it keeps the standard MACD foundation, it introduces a few enhancements to make it more adaptive and visually intuitive.
At its core, the indicator calculates the traditional MACD line, Signal line and Histogram. The histogram can be optionally displayed.
One of the things that set this version apart is the addition of the MACD Leader, an optional feature that makes the MACD more responsive to price action. By applying an adaptive smoothing factor (Leader Sensitivity), the Leader line can provide earlier momentum cues compared to the standard MACD and help anticipate shifts before they become obvious on a standard MACD indicator.
Another enhancement is the regime-based color system for the MACD line. Instead of simply coloring based on the MACD or histogram itself, this indicator identifies the overall market regime using momentum and trend strength conditions.
Bullish Regime: Momentum is positive and trend strength is above average.
Bearish Regime: Momentum is negative and trend strength is above average.
Sideways Regime: Momentum remains weak and within noise levels.
This regime detection allows the MACD line to visually adapt, giving traders an extra layer of context beyond standard MACD signals to blend momentum analysis with market conditions, helping distinguish between trending and ranging environments.
Trend ChannelThis Trend Channel is designed to simplify how traders view trends, while also keeping track of potential shifts in trends with signals. It is designed for traders that prefer less over more.
The indicator can be used for trend following, trend reversals and confirmation in combination with price or other indicators.
At the core is one EMA and a smoothed volatility based channel around it.
The purpose of the channel is to avoid false signals on trend reclaim or trend loss and instead identify trend deviations.
The indicator also incorporates long and short EMA cross-over signals to recognize possible shifts in trend without having to overlay multiple EMAs and keep the chart cleaner.
Additionally the indicator fires warnings for potential false signals on golden/death crosses with a letter "W" above/below the signal candle. Those warnings are based on the distance between price and the crossover. When the distance is above a certain threshold the indicator fires a warning that price might mean revert.
Traders can customize all inputs in the settings.
Smarter Money Concepts Dashboard [PhenLabs]📊Smarter Money Concepts Dashboard
Version: PineScript™v6
📌Description
The Smarter Money Concepts Dashboard is a comprehensive institutional trading analysis tool that combines six of our most powerful smarter money concepts indicators into one unified suite. This advanced system automatically detects and visualizes Fair Value Gaps, Inverted FVGs, Order Blocks, Wyckoff Springs/Upthrusts, Wick Rejection patterns, and ICT Market Structure analysis.
Built for serious traders who need institutional-grade market analysis, this dashboard eliminates subjective interpretation by automatically identifying where smart money is likely positioned. The integrated real-time dashboard provides instant status updates on all active patterns, making it easy to monitor market conditions at a glance.
🚀Points of Innovation
● Multi-Module Integration: Six different SMC concepts unified in one comprehensive system
● Real-Time Dashboard Display: Live tracking of all active patterns with customizable positioning
● Advanced Volume Filtering: Institutional volume confirmation across all pattern types
● Automated Pattern Management: Smart memory system prevents chart clutter while maintaining relevant zones
● Probability-Based Wyckoff Detection: Mathematical probability calculations for spring/upthrust patterns
● Dual FVG System: Both standard and inverted Fair Value Gap detection with equilibrium analysis
🔧Core Components
● Fair Value Gap Engine: Detects standard FVGs with volume confirmation and equilibrium line analysis
● Inverted FVG Module: Advanced IFVG detection using RVI momentum filtering for inversion confirmation
● Order Block System: Institutional order block identification with customizable mitigation methods
● Wyckoff Pattern Recognition: Automated spring and upthrust detection with probability scoring
● Wick Rejection Analysis: High-probability reversal patterns based on wick-to-body ratios
● ICT Market Structure: Simplified institutional concepts with commitment tracking
🔥Key Features
● Comprehensive Pattern Detection: All major SMC concepts in one indicator with automatic identification
● Volume-Confirmed Signals: Multiple volume filters ensure only institutional-grade patterns are highlighted
● Interactive Dashboard: Real-time status display with active pattern counts and module status
● Smart Memory Management: Automatic cleanup of old patterns while preserving relevant market zones
● Full Alert System: Complete notification coverage for all pattern types and signal generations
● Customizable Display Options: Adjustable colors, transparency, and positioning for all visual elements
🎨Visualization
● Color-Coded Zones: Distinct color schemes for bullish/bearish patterns across all modules
● Dynamic Box Extensions: Automatically extending zones until mitigation or invalidation
● Equilibrium Lines: Fair Value Gap midpoint analysis with dotted line visualization
● Signal Markers: Clear spring/upthrust signals with directional arrows and probability indicators
● Dashboard Table: Professional-grade status panel with module activation and pattern counts
● Candle Coloring: Wick rejection highlighting with transparency-based visual emphasis
📖Usage Guidelines
Fair Value Gap Settings
● Days to Analyze: Default 15, Range 1-100 - Controls historical FVG detection period
● Volume Filter: Enables institutional volume confirmation for gap validity
● Min Volume Ratio: Default 1.5 - Minimum volume spike required for gap recognition
● Show Equilibrium Lines: Displays FVG midpoint analysis for precise entry targeting
Order Block Configuration
● Scan Range: Default 25 bars - Lookback period for structure break identification
● Volume Filter: Institutional volume confirmation for order block validation
● Mitigation Method: Wick or Close-based invalidation for different trading styles
● Min Volume Ratio: Default 1.5 - Volume threshold for significant order block formation
Wyckoff Analysis Parameters
● S/R Lookback: Default 20 - Support/resistance calculation period for spring/upthrust detection
● Volume Spike Multiplier: Default 1.5 - Required volume increase for pattern confirmation
● Probability Threshold: Default 0.7 - Minimum probability score for signal generation
● ATR Recovery Period: Default 5 - Price recovery calculation for pattern strength assessment
Market Structure Settings
● Auto-Detect Zones: Automatic identification of high-volume thin zones
● Proximity Threshold: Default 0.20% - Price proximity requirements for zone interaction
● Test Window: Default 20 bars - Time period for zone commitment calculation
Display Customization
● Dashboard Position: Four corner options for optimal chart layout
● Text Size: Scalable from Tiny to Large for different screen configurations
● Pattern Colors: Full customization of all bullish and bearish zone colors
✅Best Use Cases
● Swing Trading: Identify major institutional zones for multi-day position entries
● Day Trading: Precise intraday entries at Fair Value Gaps and Order Block boundaries
● Trend Analysis: Market structure confirmation for directional bias establishment
● Risk Management: Clear invalidation levels provided by all pattern boundaries
● Multi-Timeframe Analysis: Works across all timeframes from 1-minute to monthly charts
⚠️Limitations
● Market Condition Dependency: Performance varies between trending and ranging market environments
● Volume Data Requirements: Requires accurate volume data for optimal pattern confirmation
● Lagging Nature: Some patterns confirmed after initial price movement has begun
● Pattern Density: High-volatility markets may generate excessive pattern signals
● Educational Tool: Requires understanding of smart money concepts for effective application
💡What Makes This Unique
● Complete SMC Integration: First indicator to combine all major smart money concepts comprehensively
● Real-Time Dashboard: Instant visual feedback on all active institutional patterns
● Advanced Volume Analysis: Multi-layered volume confirmation across all detection modules
● Probability-Based Signals: Mathematical approach to Wyckoff pattern recognition accuracy
● Professional Memory Management: Sophisticated pattern cleanup without losing market relevance
🔬How It Works
1. Pattern Detection Phase:
● Multi-timeframe scanning for institutional footprints across all enabled modules
● Volume analysis integration confirms patterns meet institutional trading criteria
● Real-time pattern validation ensures only high-probability setups are displayed
2. Signal Generation Process:
● Automated zone creation with precise boundary definitions for each pattern type
● Dynamic extension system maintains relevance until mitigation or invalidation occurs
● Alert system activation provides immediate notification of new pattern formations
3. Dashboard Update Cycle:
● Live status monitoring tracks all active patterns and module states continuously
● Pattern count updates provide instant feedback on current market condition density
● Commitment tracking for market structure analysis shows institutional engagement levels
💡Note:
This indicator represents institutional trading concepts and should be used as part of a comprehensive trading strategy. Pattern recognition accuracy improves with understanding of smart money principles. Combine with proper risk management and multiple confirmation methods for optimal results.
Implied Volatility RangeThe Implied Volatility Range is a forward-looking tool that transforms option market data into probability ranges for future prices. Based on the lognormal distribution of asset prices assumed in modern option pricing models, it converts the implied volatility curve into a volatility cone with dynamic labels that show the market’s expectations for the price distribution at a specific point in time. At the selected future date, it displays projected price levels and their percentage change from today’s close across 1, 2, and 3 standard deviation (σ) ranges:
1σ range = ~68.2% probability the price will remain within this range.
2σ range = ~95.4% probability the price will remain within this range.
3σ range = ~99.7% probability the price will remain within this range.
What makes this indicator especially useful is its ability to incorporate implied volatility skew. When only ATM IV (%) is entered, the indicator displays the standard Black–Scholes lognormal distribution. By adding High IV (%) and Low IV (%) values tied to strikes above and below the current price, the indicator interpolates between these inputs to approximate the implied volatility skew. This adjustment produces a market-implied probability distribution that indicates whether the option market is leaning bullish or bearish, based on the data entered in the menu:
ATM IV (%) = Implied volatility at the current spot price (at-the-money).
High IV (%) = Implied volatility at a strike above the current spot price.
High Strike = Strike price corresponding to the High IV input (OTM call).
Low IV (%) = Implied volatility at a strike below the current spot price.
Low Strike = Strike price corresponding to the Low IV input (OTM put).
Expiration (Day, Month, Year) = Option expiration date for the projection.
Once these inputs are entered, the indicator calculates implied probability ranges and, if both High IV and Low IV values are provided, adjusts for skew to approximate the option market’s distribution. If no implied volatility data is supplied, the indicator defaults to a lognormal distribution based on historical volatility, using past realized volatility over the same forward horizon. This keeps the tool functional even without implied volatility inputs, though in that case the output represents only an approximation of ATM IV, not the actual market view.
In summary, the Implied Volatility Range is a powerful tool that translates implied volatility inputs into a clear and practical estimate of the market’s expectations for future prices. It allows traders to visualize the probability of price ranges while also highlighting directional bias, a dimension often difficult to interpret from traditional implied volatility charts. It should be emphasized, however, that this tool reflects only the market’s expectations at a specific point in time, which may change as new information and trading activity reshape implied volatility.
IBOV ShadowEnglish
IBOV Shadow
This indicator is designed to provide a complementary analysis of the Brazilian market, offering an alternative perspective to the traditional IBOV index. It can be used BMFBOVESPA:IBOV , and it operates independently, seeking a correlation with the overall market by calculating based on commodities , global stocks , interest rates , the dollar , and other assets.
What the Indicator Does
The IBOV Shadow acts as a real-time fair price forecast for the Ibovespa . The line it plots represents the value the index should have at that moment, based on multiple market factors. The primary analysis comes from comparing the indicator's line with the actual Ibovespa price:
Underpricing (Upside Potential) : When the IBOV Shadow line is above the Ibovespa's price, it suggests that the market is underpricing the index. The "fair" value is higher than the current one, which may indicate potential for an upward move.
Overpricing (Downside Potential) : When the IBOV Shadow line is below the Ibovespa's price, it suggests that the market is overpricing the index. The "fair" value is lower than the current one, which may indicate that a downward correction could be on the way.
The indicator's line also changes color to signal its own trend: green when it's trending up (a strong market) and red when it's trending down (a weak market).
How to Use It
Capturing Divergences (The Main Point) : The most powerful use of the IBOV Shadow is in identifying divergences . A divergence occurs when the price movement of the Ibovespa and the movement of our indicator are out of sync.
Bullish Divergence : This happens when the Ibovespa's price makes a new low , but the Shadow indicator does not follow, instead making a higher low . This suggests that downward pressure is weakening.
Bearish Divergence : This occurs when the Ibovespa's price makes a new high , but the Shadow indicator fails to do the same, creating a lower high . This is a strong sign that the uptrend is weakening.
Trend Confirmation : Use the line's color as a confirmation tool. If you already have an uptrend in mind, a green line can reinforce your analysis. Likewise, a red line can confirm a downtrend.
Contextual Analysis : This indicator is most effective when used in conjunction with other tools and analyses. Do not use it as your sole decision-making source.
Final Considerations
Remember that this indicator is a supporting tool. The financial market is complex, and no single tool guarantees success. Practice and the use of multiple indicators and strategies are fundamental for a complete analysis.
Liquidity Pro Map [ChartPrime]⯁ OVERVIEW
Liquidity Pro Map is a market-structure tool that simulates liquidity distribution by splitting price history into buy-side and sell-side profiles. Using candle volume and the standard deviation of close, the indicator builds two mirrored volume maps on the right-hand side of the chart. It also extends liquidity levels backwards in time until they are crossed by price, allowing you to see which zones remain untouched and where liquidity is most likely resting. Cumulative skew lines and highlighted POC levels give additional clarity on imbalance between buyers and sellers.
⯁ KEY FEATURES
Dual Liquidity Profiles: The chart is divided into buy-side (green) and sell-side (red) liquidity profiles, letting you instantly compare both sides of order flow.
Level Extension Logic: Each liquidity level is extended back in time until price crosses it. If not crossed, it persists all the way to the indicator’s lookback period, marking zones that remain “untapped.”
Dynamic Binning with Standard Deviation: The indicator distributes candle volumes into bins using close-price deviation, creating a more realistic liquidity map than static price levels.
priceDeviation = ta.stdev(close, 25) * 2
priceReference = close > open ? low - priceDeviation : high + priceDeviation
Cumulative Volume Skew Lines: Polylines on the right-hand side show the aggregated buy and sell volume profiles, making it easy to spot imbalance.
POC Identification: Highest-volume levels on both sides are marked as POC (Point of Control) , providing key zones of interest.
Clear Color Coding: Gradient shading intensifies with volume concentration—dark teal/green for buy zones, dark pink/red for sell zones.
⯁ HOW IT WORKS (UNDER THE HOOD)
Volume Distribution: Each bar’s volume is assigned to a price bin based on its reference price (close ± standard deviation offset).
Buy vs. Sell Splitting: If bins above last close price, volume is allocated to sell-side liquidity; otherwise, it’s allocated to buy-side liquidity.
Level Extension: Boxes marking liquidity bins extend back until crossed by price. If uncrossed, they anchor all the way to the start of the lookback window.
Cumulative Polylines: As bins are stacked, cumulative buy and sell values form skew polylines plotted at the right edge.
POC Levels: The highest-volume bin on each side is highlighted with labels and arrows, marking where the heaviest liquidity is concentrated.
⯁ USAGE
Use buy/sell profiles to see where liquidity is likely resting. Green shelves suggest potential support zones; red shelves suggest resistance or sell liquidity pools.
Watch untouched extended levels —these often become magnets for price as liquidity is swept.
Track POC levels as primary liquidity targets, where reactions or fakeouts are most common.
Compare cumulative skew lines to judge which side dominates in volume. Heavy buy skew may indicate absorption of sell pressure, and vice versa.
Adjust lookback period to switch between intraday liquidity maps and larger swing-based profiles.
Use separator feature to hide bins borders for better visual clarity.
Use as a confluence tool with OBs, support/resistance, and liquidity sweep setups.
⯁ CONCLUSION
Liquidity Pro Map transforms candle volume into a structured simulation of where liquidity may rest across the chart. By dividing buy vs. sell profiles, extending untouched levels, and marking cumulative skew and POC, it equips traders with a clear visual map of potential liquidity pools. This allows for better anticipation of sweeps, reversals, and areas of high market activity.
Structural Liquidity Signals [BullByte]Structural Liquidity Signals (SFP, FVG, BOS, AVWAP)
Short description
Detects liquidity sweeps (SFPs) at pivots and PD/W levels, highlights the latest FVG, tracks AVWAP stretch, arms percentile extremes, and triggers after confirmed micro BOS.
Full description
What this tool does
Structural Liquidity Signals shows where price likely tapped liquidity (stop clusters), then waits for structure to actually change before it prints a trigger. It spots:
Liquidity sweeps (SFPs) at recent pivots and at prior day/week highs/lows.
The latest Fair Value Gap (FVG) that often “pulls” price or serves as a reaction zone.
How far price is stretched from two VWAP anchors (one from the latest impulse, one from today’s session), scaled by ATR so it adapts to volatility.
A “percentile” extreme of an internal score. At extremes the script “arms” a setup; it only triggers after a small break of structure (BOS) on a closed bar.
Originality and design rationale, why it’s not “just a mashup”
This is not a mashup for its own sake. It’s a purpose-built flow that links where liquidity is likely to rest with how structure actually changes:
- Liquidity location: We focus on areas where stops commonly cluster—recent pivots and prior day/week highs/lows—then detect sweeps (SFPs) when price wicks beyond and closes back inside.
- Displacement context: We track the last Fair Value Gap (FVG) to account for recent inefficiency that often acts as a magnet or reaction zone.
- Stretch measurement: We anchor VWAP to the latest N-bar impulse and to the Daily session, then normalize stretch by ATR to assess dislocation consistently across assets/timeframes.
- Composite exhaustion: We combine stretch, wick skew, and volume surprise, then bend the result with a tanh transform so extremes are bounded and comparable.
- Dynamic extremes and discipline: Rather than triggering on every sweep, we “arm” at statistical extremes via percent-rank and only fire after a confirmed micro Break of Structure (BOS). This separates “interesting” from “actionable.”
Key concepts
SFP (liquidity sweep): A candle briefly trades beyond a level (where stops sit) and closes back inside. We detect these at:
Pivots (recent swing highs/lows confirmed by “left/right” bars).
Prior Day/Week High/Low (PDH/PDL/PWH/PWL).
FVG (Fair Value Gap): A small 3‑bar gap (bar2 high vs bar1 low, or vice versa). The latest gap often acts like a magnet or reaction zone. We track the most recent Up/Down gap and whether price is inside it.
AVWAP stretch: Distance from an Anchored VWAP divided by ATR (volatility). We use:
Impulse AVWAP: resets on each new N‑bar high/low.
Daily AVWAP: resets each new session.
PR (Percentile Rank): Where the current internal score sits versus its own recent history (0..100). We arm shorts at high PR, longs at low PR.
Micro BOS: A small break of the recent high (for longs) or low (for shorts). This is the “go/no‑go” confirmation.
How the parts work together
Find likely liquidity grabs (SFPs) at pivots and PD/W levels.
Add context from the latest FVG and AVWAP stretch (how far price is from “fair”).
Build a bounded score (so different markets/timeframes are comparable) and compute its percentile (PR).
Arm at extremes (high PR → short candidate; low PR → long candidate).
Only print a trigger after a micro BOS, on a closed bar, with spacing/cooldown rules.
What you see on the chart (legend)
Lines:
Teal line = Impulse AVWAP (resets on new N‑bar extreme).
Aqua line = Daily AVWAP (resets each session).
PDH/PDL/PWH/PWL = prior day/week levels (toggle on/off).
Zones:
Greenish box = latest Up FVG; Reddish box = latest Down FVG.
The shading/border changes after price trades back through it.
SFP labels:
SFP‑P = SFP at Pivot (dotted line marks that pivot’s price).
SFP‑L = SFP at Level (at PDH/PDL/PWH/PWL).
Throttle: To reduce clutter, SFPs are rate‑limited per direction.
Triggers:
Triangle up = long trigger after BOS; triangle down = short trigger after BOS.
Optional badge shows direction and PR at the moment of trigger.
Optional Trigger Zone is an ATR‑sized box around the trigger bar’s close (for visualization only).
Background:
Light green/red shading = a long/short setup is “armed” (not a trigger).
Dashboard (Mini/Pro) — what each item means
PR: Percentile of the internal score (0..100). Near 0 = bullish extreme, near 100 = bearish extreme.
Gauge: Text bar that mirrors PR.
State: Idle, Armed Long (with a countdown), or Armed Short.
Cooldown: Bars remaining before a new setup can arm after a trigger.
Bars Since / Last Px: How long since last trigger and its price.
FVG: Whether price is in the latest Up/Down FVG.
Imp/Day VWAP Dist, PD Dist(ATR): Distance from those references in ATR units.
ATR% (Gate), Trend(HTF): Status of optional regime filters (volatility/trend).
How to use it (step‑by‑step)
Keep the Safety toggles ON (default): triggers/visuals on bar‑close, optional confirmed HTF for trend slope.
Choose timeframe:
Intraday (5m–1h) or Swing (1h–4h). On very fast/thin charts, enable Performance mode and raise spacing/cooldown.
Watch the dashboard:
When PR reaches an extreme and an SFP context is present, the background shades (armed).
Wait for the trigger triangle:
It prints only after a micro BOS on a closed bar and after spacing/cooldown checks.
Use the Trigger Zone box as a visual reference only:
This script never tells you to buy/sell. Apply your own plan for entry, stop, and sizing.
Example:
Bullish: Sweep under PDL (SFP‑L) and reclaim; PR in lower tail arms long; BOS up confirms → long trigger on bar close (ATR-sized trigger zone shown).
Bearish: Sweep above PDH/pivot (SFP‑L/P) and reject; PR in upper tail arms short; BOS down confirms → short trigger on bar close (ATR-sized trigger zone shown).
Settings guide (with “when to adjust”)
Safety & Stability (defaults ON)
Confirm triggers at bar close, Draw visuals at bar close: Keep ON for clean, stable prints.
Use confirmed HTF values: Applies to HTF trend slope only; keeps it from changing until the HTF bar closes.
Performance mode: Turn ON if your chart is busy or laggy.
Core & Context
ATR Length: Bigger = smoother distances; smaller = more reactive.
Impulse AVWAP Anchor: Larger = fewer resets; smaller = resets more often.
Show Daily AVWAP: ON if you want session context.
Use last FVG in logic: ON to include FVG context in arming/score.
Show PDH/PDL/PWH/PWL: ON to see prior day/week levels that often attract sweeps.
Liquidity & Microstructure
Pivot Left/Right: Higher values = stronger/rarer pivots.
Min Wick Ratio (0..1): Higher = only more pronounced SFP wicks qualify.
BOS length: Larger = stricter BOS; smaller = quicker confirmations.
Signal persistence: Keeps SFP context alive for a few bars to avoid flicker.
Signal Gating
Percent‑Rank Lookback: Larger = more stable extremes; smaller = more reactive extremes.
Arm thresholds (qHi/qLo): Move closer to 0.5 to see more arms; move toward 0/1 to see fewer arms.
TTL, Cooldown, Min bars and Min ATR distance: Space out triggers so you’re not reacting to minor noise.
Regime Filters (optional)
ATR percentile gate: Only allow triggers when volatility is at/above a set percentile.
HTF trend gate: Only allow longs when the HTF slope is up (and shorts when it’s down), above a minimum slope.
Visuals & UX
Only show “important” SFPs: Filters pivot SFPs by Volume Z and |Impulse stretch|.
Trigger badges/history and Max badge count: Control label clutter.
Compact labels: Toggle SFP‑P/L vs full names.
Dashboard mode and position; Dark theme.
Reading PR (the built‑in “oscillator”)
PR ~ 0–10: Potential bullish extreme (long side can arm).
PR ~ 90–100: Potential bearish extreme (short side can arm).
Important: “Armed” ≠ “Enter.” A trigger still needs a micro BOS on a closed bar and spacing/cooldown to pass.
Repainting, confirmations, and HTF notes
By default, prints wait for the bar to close; this reduces repaint‑like effects.
Pivot SFPs only appear after the pivot confirms (after the chosen “right” bars).
PD/W levels come from the prior completed candles and do not change intraday.
If you enable confirmed HTF values, the HTF slope will not change until its higher‑timeframe bar completes (safer but slightly delayed).
Performance tips
If labels/zones clutter or the chart lags:
Turn ON Performance mode.
Hide FVG or the Trigger Zone.
Reduce badge history or turn badge history off.
If price scaling looks compressed:
Keep optional “score”/“PR” plots OFF (they overlay price and can affect scaling).
Alerts (neutral)
Structural Liquidity: LONG TRIGGER
Structural Liquidity: SHORT TRIGGER
These fire when a trigger condition is met on a confirmed bar (with defaults).
Limitations and risk
Not every sweep/extreme reverses; false triggers occur, especially on thin markets and low timeframes.
This indicator does not provide entries, exits, or position sizing—use your own plan and risk control.
Educational/informational only; no financial advice.
License and credits
© BullByte - MPL 2.0. Open‑source for learning and research.
Built from repeated observations of how liquidity runs, imbalance (FVG), and distance from “fair” (AVWAPs) combine, and how a small BOS often marks the moment structure actually shifts.
