Scary Flush Indicator R0Work in progress.
Calculates the gradient based on candle lows (previous low to current low). Works on all time frames.
Looks for a selling gradient of >0.75pts per minute then highlights. Anything less than this indicates a lazy grind down and indicates a potential invalidation for the FBD.
Indicadores e estratégias
Cold Brew Ranges🧭 Core Logic and Calculation
The fundamental logic for each range (OR and CR) is identical:
Time Definition: Each range is defined by a specific Start Time and a fixed 30-second duration. The timestamp function, using the "America/New_York" time zone, is used to calculate the exact start time in Unix milliseconds for the current day.
Example: t0200 = timestamp(TZ, yC, mC, dC, 2, 0, 0) sets the start time for the 02:00 OR to 2:00:00 AM NY time.
Range Data Collection: The indicator uses the request.security_lower_tf() function to collect the High (hArr) and Low (lArr) prices of all bars that fall within the defined 30-second window, using a user-specified, sub-chart-timeframe (openrangetime, defaulted to "1" second, "30S", or "5" minutes). This ensures high precision in capturing the exact high and low during the 30-second window.
High/Low Determination: It iteratively finds the absolute highest price (OR_high) and the absolute lowest price (OR_low) recorded by the bars during that 30-second window.
Range Locking: Once the current chart bar's time (lastTs) passes the 30-second End Time (tEnd), the High and Low are locked (OR_locked = true), meaning the range calculation is complete for the day.
Drawing: Upon locking, the range is drawn on the chart using line.new for the High, Low, and Equilibrium, and box.new for the shaded fill. The lines are extended to a subsequent time anchor point (e.g., the 02:00 OR is extended to 08:20, the 09:30 OR is extended to 16:00).
Equilibrium (EQ): This is calculated as the simple average (midpoint) of the High and Low of the range.
EQ=
2
OR_High+OR_Low
⏰ Defined Trading Ranges
The indicator defines and tracks the following specific 30-second ranges:
Range Name Type Start Time (NY) Line Extension End Time (NY) Common Market Context
02:00 OR Opening 02:00:00 08:20:00 Asian/European Market Overlap
08:20 OR Opening 08:20:00 16:00:00 Pre-New York Open
09:30 OR Opening 09:30:00 16:00:00 New York Stock Exchange Open (Most significant OR)
18:00 OR Opening 18:00:00 20:00:00 Futures Market Open (Sunday/Monday)
20:00 OR Opening 20:00:00 Next Day's session start Asian Session Start
15:50 CR Closing 15:50:00 20:00:00 New York Close Range
⚙️ Key User Inputs and Customization
The script offers extensive control over which ranges are displayed and how they are visualized:
Range Time & History
openrangetime: Sets the sub-timeframe (e.g., "1" for 1 second) used to calculate the precise High/Low of the 30-second range. Crucial for accuracy.
showHistory: A toggle to show the ranges from previous days (up to a histCap of 50 days).
Range Toggles and Styling
On/Off Toggles: Independent input.bool (e.g., OR_0200_on) to enable or disable the display of each individual range.
Colors & Width: Separate color and width inputs for the High/Low lines (hlC), the Equilibrium line (eqC), and the background fill (fillC) for each range.
Line Styles: Global inputs for the line styles of High/Low (lineStyleInput) and Equilibrium (eqLineStyleInput) lines (Solid, Dotted, or Dashed).
showFill: Global toggle to enable the shaded background box that highlights the area between the High and Low.
Extensions
The script calculates and plots extensions (multiples of the initial range) above the High and below the Low.
showExt: Toggles the visibility of the extension lines.
useRangeMultiples: If true, the step size for each extension level is equal to the initial range size:
Step=Range=OR_High−OR_Low
If false, the step size is a fixed value defined by stepPts (e.g., 60.0 points, which is a common value for NQ futures).
stepCnt: Determines how many extension levels (multiples) are drawn above and below the range (default is 10).
📈 Trading Strategy Implications
The Cold Brew Ranges indicator is a tool for session-based support and resistance and range breakout/reversal strategies.
Key Support/Resistance: The High and Low of these defined opening ranges often act as strong, predefined price levels. Traders look for price rejection off these boundaries or a breakout with conviction.
Equilibrium (Midpoint): The EQ often represents a fair value for that specific session's opening. Movements away from it are seen as opportunities, and a return to it is common.
Extensions: The range extensions serve as potential profit targets or stronger, layered support/resistance levels if the market trends aggressively after the opening range is set.
The core idea is that the activity in the first 30 seconds of a significant trading session (like the NYSE or a market session open) sets a bias and initial boundary for the trading period that follows.
RSI 14 Cross Up SMA(14) Within Last 4 BarsMomentum based crossover, seems to be best for swing trades
RV − IV Spread Alert (SPY vs VIX)Realized vs Implied Volatility Spread (RV − IV) for the S&P 500 / SPY.
Plots the daily difference between 30-day realized volatility (SPY) and implied volatility (VIX) in basis points.
Key insight from the research: when the spread turns and stays above ≈ +50 bps, forward returns historically degrade and volatility of returns rises sharply — a useful early-warning regime flag.
Features:
- Clean daily plot of RV − IV in bps
- Horizontal lines at 0, −50 bps and +50 bps
- Red background when spread > +50 bps
- Built-in alert condition that fires once per bar close when spread closes above +50 bps
- Optional “all-clear” alert when it drops back below
Use on SPY or ES1! daily chart. Perfect for anyone wanting a simple notification when the market enters the “risk-on” volatility regime highlighted by Machina Quanta and the original Bali & Hovakimian (2007) paper.
Moon Boys LineWe have the 44 and 125 day moving averages. When they cross, the trend is bullish or bearish.
STUDENT WYCKOFF Smart RSISTUDENT WYCKOFF Smart RSI is not just “RSI above 70 / below 30”.
It adapts its levels to volatility, highlights real extreme zones and marks the moments when momentum is leaving them.
Use it to see where buying or selling pressure is truly exhausting and combine it with your own price action and Wyckoff logic.
STUDENT WYCKOFF Smart RSI is a flexible, context-driven version of the classic RSI. It is designed for traders who want to read momentum in a more intelligent way than just “RSI above 70, RSI below 30”.
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1. Concept
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Instead of fixing RSI to one rigid set of levels, this script lets you choose how sensitive you want the oscillator to be and how you want to visualize that information:
• Classic 70/30 – standard overbought/oversold bands, familiar to most traders.
• Aggressive 80/20 – fewer but more extreme signals, useful for strong trends.
• Dynamic Std Bands – adaptive zones based on the mean and standard deviation of RSI, so the levels “breathe” with volatility rather than staying flat.
The goal is not to create magic entry signals, but to give you a clean, configurable picture of buying/selling pressure that fits different market conditions and styles of trading.
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2. RSI logic and plotting
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• Base indicator: standard RSI calculated on a chosen source (by default – close) with a configurable length.
• Optional smoothing: a short SMA of RSI (signal length) to reduce noise. If you set the smoothing length to 1, the script plots the raw RSI.
• Auto-coloring:
– Above 50 → “bullish pressure” color.
– Below 50 → “bearish pressure” color.
– Around 50 → neutral color.
You can fully customize all colors directly in the settings.
The script can also show:
• Overbought / oversold level lines (depending on the selected mode).
• A middle line at 50 to quickly see which side of the market is dominant.
• Background highlighting when RSI is inside overbought or oversold zones, so you can read the context at a glance without staring at numbers.
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3. Smart zone exits and signals
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Instead of signaling every time RSI simply “touches” a level, the script focuses on exits from extreme zones:
• LONG context signal
– RSI has been below the lower band (oversold).
– Then RSI crosses back above this lower band.
– A small green upward triangle is plotted at the RSI value.
• SHORT context signal
– RSI has been above the upper band (overbought).
– Then RSI crosses back below this upper band.
– A small red downward triangle is plotted at the RSI value.
All signals are calculated only on bar close using `barstate.isconfirmed`. This helps reduce repaint-like behaviour and makes the signals more reliable for alerts and discretionary decision-making.
These signals are NOT a complete trading system. They are context markers that tell you: “momentum is leaving an extreme zone, pay attention to the price action, volume and higher-timeframe structure”.
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4. Alerts
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The script contains two built-in alertconditions with constant messages:
• STUDENT WYCKOFF Smart RSI LONG – triggers when RSI exits the oversold zone upward.
• STUDENT WYCKOFF Smart RSI SHORT – triggers when RSI exits the overbought zone downward.
To use them:
1. Add the indicator to your chart.
2. Open the Alerts panel in TradingView.
3. Choose this script as the condition.
4. Select one of the available alert names (LONG or SHORT).
5. Set your preferred timeframe, expiry and notification method.
Once configured, the alerts will inform you every time a new arrow appears.
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5. How to use in practice
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• Works on any symbol and timeframe supported by TradingView.
• On higher timeframes, the Dynamic Std Bands mode can help you see where RSI is “statistically unusual” relative to its recent behaviour.
• On lower timeframes, Classic or Aggressive modes can help filter noise by waiting for strong expansions of momentum and subsequent exits.
• Combine the signals with your own price action, Wyckoff logic, volume analysis, trend structure and risk management. RSI alone should never be the only reason to enter or exit a position.
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6. Disclaimer
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This script is published for educational and analytical purposes only. It does not provide financial, investment or trading advice and does not guarantee any results. Always test tools on historical data, understand the logic behind them and use proper risk management according to your own trading plan.
仓位计算器# 仓位计算器
通过开仓、止损、止盈计算固定盈亏比适合的开仓数量,根据开仓和止损判断开仓方向。
首次使用需要手动设置开仓、止盈、止损,之后可以手动拖拽价格线设置值然后自动计算仓位信息。
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# Position Calculator
Calculates the optimal position size with a fixed profit/loss ratio based on opening, stop-loss, and take-profit levels. Determines the direction of the position based on the opening and stop-loss settings.
Initial use requires manual setting of opening, take-profit, and stop-loss. Afterward, you can manually drag the price line to set values and the system will automatically calculate position information.
Price Forecast - Future price Ichimoku ATR RSI Kumo It predicts
Future price (projected close)
future high-low (ATR projection)
Ichimoku Future Span overlay
alerts "future price above/below threshold".
Ichimoku Kumo Projection (Leading Span A & B). Senkou Span A (Future A) Senkou Span B (Future B).
ATR Projection Channel (ATR Bands/Volatility Forecast).
Linear regression forecast for +1 bar.
Multi timeframe
RSI+Kumo filter for clearer signals.
SHUBHAM 50000 ULTRA OPTIONSHUBHAM 50000 ULTRA OPTION
OptionFlow Pro: Smart Money & Anomaly Detection Indicator
Tagline: Don't just follow the flow. Understand it.
Core Concept:
OptionFlow Pro is an advanced, real-time market scanner and visual indicator that transforms raw options chain data into actionable trading intelligence. It goes beyond simple volume and open interest by identifying Unusual Options Activity (UOA), tracking Sweep Orders, and calculating the Volume-Weighted Put/Call Ratio to highlight where institutional "smart money" is placing its bets.
Key Features for Traders:
Unusual Activity & Sweep Detector:
What it does: Scans every tick for orders that significantly deviate from normal trading patterns—large block trades executed at the ask (for calls) or bid (for puts), and "sweep" orders that clean out multiple price levels instantly.
Trader Benefit: Pinpoints potential breakout or breakdown candidates before major moves occur in the underlying stock. Alerts you to aggressive, high-conviction buying or selling that retail traders often miss.
Volume-Weighted Put/Call Ratio (with Trend):
What it does: Calculates the put/call ratio not just by volume, but by the premium spent. A high premium-weighted put/call ratio shows bears are putting serious money behind their bets, making it a stronger signal.
Trader Benefit: Offers a more nuanced view of market sentiment than standard PCR. Helps gauge extreme fear (potential oversold bounce) or complacency (overbought top) in a specific stock or index (SPX/SPY).
Max Pain & Gamma Exposure (GEX) Visualizer:
What it does: Dynamically calculates the "Max Pain" strike (where option sellers face minimal losses) and estimates Gamma Exposure levels. Visual overlays on the chart show key pin levels and large gamma walls.
Trader Benefit: Identifies potential price magnets for weekly/monthly expiry. Understand where hedging activity by market makers may amplify volatility (negative gamma) or suppress it (positive gamma), aiding in entry/exit planning.
Implied Volatility (IV) Rank & Skew Analysis:
What it does: Compares current IV to its historical range (IV Rank) and visualizes the volatility smile/skew across strikes. Highlights expensive vs. cheap option premiums.
Trader Benefit: Empowers you to sell overpriced volatility (high IV Rank) and buy underpriced volatility (low IV Rank). Skew anomalies can signal asymmetric risk/reward opportunities or market fears about a sharp directional move.
Customizable Alerts & Heatmaps:
What it does: Set alerts for specific UOA criteria, PCR spikes, or IV changes. The platform-wide heatmap aggregates flow data across all symbols to show sector-level money movement.
Trader Benefit: Saves hours of manual scanning. Focus only on the setups that match your strategy (e.g., "Alert me for any $1M+ call sweeps in tech stocks").
Who Is It For?
Active Options Traders & Scalpers: Find high-probability directional plays with institutional confirmation.
Hedgers & Portfolio Managers: Identify tail-risk hedging activity and gauge overall market dealer positioning.
Volatility Traders: Precisely time entries for strangles, straddles, or iron condors based on IV regime and gamma.
Swing Traders & Technical Analysts: Confirms or diverges from classic chart patterns (e.g., breakout with strong call flow = higher conviction).
Why It's Different:
Most indicators look backward at price. OptionFlow Pro looks forward at market structure, liquidity, and dealer hedging flows. It doesn't predict the future; it reveals the present positioning that will influence future price action.
Platform Integration: Available as a standalone web platform, a TradingView custom script, and a direct data feed into thinkorswim, Interactive Brokers, and other major brokerages.
MMBS HkOrE FX [V5.11]The Multi-Model Bias System (MMBS) is a composite bias-detection framework that evaluates price behavior using three independent analytical engines: structural confirmation, normalized volatility expansion, and momentum velocity dynamics. The goal of the tool is not to generate trading signals, but to identify the dominant directional bias through multi-factor validation.
🔧 1. Structural Recognition Engine (Multi-Pivot Confirmation)
MMBS identifies market structure using a multi-confirmation pivot model rather than a single swing point.
A Swing High/Low is only confirmed when several consecutive pivot conditions align.
This reduces noise and produces a “stable structure map.”
A bullish bias requires sequential higher-low and higher-high confirmations; bearish bias requires the opposite.
Because this model relies on progressive confirmation, it behaves differently from common fractal-based structure indicators.
This approach allows the bias to remain stable during minor price fluctuations.
🔧 2. Normalized Volatility Boundary (Modified ATR Model)
Volatility is processed using a custom ATR-based normalization:
The script calculates a rolling ATR range, then scales it using a smoothing function to prevent extreme expansion.
This produces a volatility boundary line that adapts proportionally to recent market conditions.
When price approaches this boundary while structural strength weakens, the system flags reduced confidence in the existing bias.
This method differs from standard ATR bands because it compresses outlier volatility instead of amplifying it.
🔧 3. Momentum Velocity Engine (Smoothed ROC Filter)
The momentum module measures acceleration rather than raw momentum:
A smoothed Rate-of-Change curve evaluates whether price velocity is supporting or diverging from the current structure.
Deceleration near the volatility boundary is interpreted as potential instability.
No buy/sell signals are generated—momentum is used strictly for bias confidence filtering.
By focusing on velocity shifts instead of momentum direction alone, the system captures early structural weakening.
🔗 How the Components Interact
A directional bias is assigned only when:
Structure confirmation
Volatility normalization
Momentum velocity
are aligned in the same direction.
If any module diverges, MMBS defaults to a neutral (no-bias) state.
This behavior distinguishes it from single-module indicators that rely solely on trend, volatility, or momentum.
📊 Visual Output
Bias Color Bar — shows the dominant directional bias (bullish / bearish / neutral).
Volatility Boundary Line — reflects the normalized ATR range used for stability validation.
Momentum Markers — point to areas where velocity divergence may invalidate the bias.
These components are informational only and do not represent entry or exit signals.
⚙️ User-Adjustable Inputs
Structure Sensitivity — modifies how many pivot confirmations are required.
Volatility Scaling — adjusts ATR normalization strength.
Momentum Smoothing — controls responsiveness to short-term velocity changes.
🔒 Why the Script Is Invite-Only
The script uses custom structural logic, a custom-developed ATR normalization method, and a ROC-based velocity filter that differs from publicly available tools.
Invite-only access is maintained to ensure responsible use and preserve controlled distribution of the multi-factor bias-model framework.
The script does not rely on any publicly available template and integrates multiple independent computational layers, which justifies restricted visibility under TradingView’s policies.
Time-Candle Sync — The Book of TIME by Nancy_PelosiTime-Candle Sync is a precision time-alignment framework designed to synchronize candle opens, closes, and session transitions across multiple timeframes and custom trading windows.
Built to work hand-in-hand with Nancy Pelosi’s Book of Time, this tool visualizes how market structure responds to time itself — not indicators, not signals, but when price is allowed to move.
By mapping higher-timeframe boundaries and user-defined time segments directly onto lower-timeframe candles, Time-Candle Sync helps traders identify:
True session transitions
Time-based inflection points
Candle alignment across multiple timeframes
Periods of increased probability and structural change
Custom Time Control
The script supports fully customizable time windows, allowing users to define specific market sessions, macro periods, or personal trading windows. All dividers are anchored to the selected chart timezone to ensure accurate alignment regardless of asset or exchange.
Designed for Time-Aware Trading
This indicator does not generate buy or sell signals. Instead, it provides structural context so traders can:
Align executions with time-based events
Avoid trading during low-probability periods
Confirm when candles are synchronized across timeframes
Intended Use
Time-Candle Sync is best used alongside:
Session-based trading
Market structure concepts
Time-driven frameworks such as The Book of Time
Time controls price access.
Candles reveal when that access is granted.
Algo & Dark Pool Activity - Find Hidden LiquidityThe script is designed to highlight potential algorithmic buying pressure and dark pool accumulation proxies on a TradingView chart. It overlays signals directly on price bars so you can visually spot when unusual activity may be occurring.
HTF Candle Time Left (1m/2m/3m/5m/15m) + HV Color per TFWhat it shows:
Countdown for:
1m, 2m, 3m, 5m, 15m candles
Each row displays:
TF: M:SS (example: 5m: 01:23)
Color logic:
Red text = less than 10 seconds left before that candle closes
Orange (or your chosen color) = that timeframe is currently on a high-volume bar
White = normal
You can:
Turn each timeframe on/off
Move the table to any corner of the chart
Match the high-volume settings to your other volume indicator
Perfect if you scalp or day trade and want to:
Time entries to HTF candle closes
See when a big move is loading on 3m/5m/15m
React faster when volume and time line up.
Volume Delta + Bandas de Bollinger📊 Volume Delta + Bollinger Bands Indicator
Characteristics
• Volume Delta Histogram
• Shows the difference between buying and selling pressure.
• Green bars indicate positive delta (buyers dominating).
• Red bars indicate negative delta (sellers dominating).
• The histogram oscillates around the zero line, which represents balance between buyers and sellers.
• Bollinger Bands applied to Delta
• A moving average (basis line) of the delta is calculated.
• Upper and lower bands are plotted using standard deviation.
• These bands highlight periods when the delta moves to statistically extreme levels.
• Helps identify unusual buying or selling pressure compared to recent history.
• Zero Line Reference
• A horizontal line at zero shows equilibrium.
• Crossing above zero suggests net buying pressure.
• Crossing below zero suggests net selling pressure.
How to Use
• Identify Buyer/Seller Dominance
• Green histogram bars above zero → buyers are stronger.
• Red histogram bars below zero → sellers are stronger.
• Spot Extremes with Bollinger Bands
• When delta touches or exceeds the upper band, it signals unusually strong buying pressure.
• When delta touches or exceeds the lower band, it signals unusually strong selling pressure.
• These extremes can precede reversals or mark continuation if confirmed by price action.
• Combine with Price Analysis
• Use delta signals together with price trends and support/resistance levels.
• For example, if price is at resistance and delta spikes into the upper band, it may indicate exhaustion of buyers.
• If price is at support and delta spikes into the lower band, it may indicate exhaustion of sellers.
• Trading Strategy Ideas
• Reversal setups: Look for delta extremes against key price levels.
• Trend confirmation: Sustained delta above zero supports bullish trends; sustained delta below zero supports bearish trends.
• Volatility filter: Bollinger Bands help filter out normal fluctuations and highlight significant imbalances.
👉 In short, this indicator combines order flow pressure (delta) with volatility context (Bollinger Bands), making it useful for spotting moments when buying or selling activity becomes unusually strong compared to recent history.
CK FVGThis indicator automatically finds bullish and bearish Fair Value Gaps and shows you which ones still matter — without you drawing anything.
What it does:
Marks every new FVG on the chart
Shows bullish (green) and bearish (red) gaps
Removes gaps once they’re mitigated (filled)
Highlights rejections when price taps the FVG and shoots away
Option to only show the last few unmitigated FVGs
Works on any timeframe
Extra features:
Dashboard showing total FVGs + mitigation %
Alert system for new FVGs and mitigations
Static or dynamic gap mode depending on your preference
Why traders like it:
No more drawing FVG boxes manually
Helps spot clean reaction zones
Perfect for ICT-style setups, liquidity plays, and reversals
Simple, clean, and does all the FVG work for you.
Triple ATR Adaptive MAs + VWAP Option + Clouds + Candle Trend V2Another one of my experiences ... combining things...
📘 Indicator Description – Triple ATR Adaptive Moving Averages with VWAP Influence
This indicator plots three adaptive moving averages whose behavior changes dynamically based on market volatility (ATR) and optionally VWAP deviation.
Because they adapt in real time to both volatility and VWAP pressure, their movement, slope, and reaction speed differ significantly from traditional moving averages.
🔶 1. ATR-Adaptive Moving Averages
Each of the three MAs uses a custom adaptive formula:
ATR (Average True Range) is measured over a chosen period.
Higher ATR → more volatility → the MA becomes more reactive and moves closer to price.
Lower ATR → stable market → the MA becomes smoother and slower.
This creates a volatility-aware smoothing factor, making the MA expand, contract, and respond to market conditions in ways a classic SMA, EMA, or HMA cannot.
🔷 2. Optional VWAP Influence
Each MA has an independent toggle allowing it to be influenced by VWAP.
When enabled:
The MA is gently “pulled” toward VWAP.
The strength of this attraction is determined by the VWAP Influence parameter (0–1).
This causes the moving averages to behave differently from normal MAs:
In trending markets, the ATR and price push the MA away from VWAP.
In mean-reverting or balanced conditions, VWAP pulls the MA back toward fair value.
The result is an MA that reflects both trend pressure and fair-value pressure.
🔶 3. Visual Behavior: Non-Traditional Movement
Because each MA is simultaneously influenced by volatility, trend magnitude, and VWAP deviation, their shape is often very distinct from normal moving averages.
They may:
Respond faster during high volatility
Flatten out earlier during consolidation
Curve toward VWAP when price becomes extended
Separate or compress depending on ATR strength
This is intentional and essential, since the goal is to show:
✔ Volatility expansion
✔ Trend exhaustion
✔ Overextended price relative to VWAP
✔ Dynamic trend confirmation
Rather than simply smoothing past price.
🔷 4. Three Independent Adaptive Lines
Each of the three moving averages has:
Its own ATR length
Its own sensitivity multiplier
Its own optional VWAP influence
Its own color and trail
This allows the user to combine:
a fast volatility-adaptive trend line
a mid-range adaptive baseline
a slow adaptive long-trend MA
All adapting independently to volatility and VWAP conditions.
🔶 5. Optional Candle Coloring
The indicator can color candles according to trend strength derived from the fast/slow MAs.
Stronger trends produce more vivid colors. Neutral or conflicting trends produce softer colors.
This adds a visual layer to identify:
Trend direction
Trend strength
Volatility state
Market compression
at a glance.
📌 Summary
This indicator does not behave like standard SMAs or EMAs because each line dynamically adapts to:
🔸 ATR (volatility)
🔸 VWAP (fair value)
This makes the indicator extremely responsive to market conditions while still reducing noise during stable phases.
It provides a more realistic, context-aware, and intelligent representation of price behavior compared to traditional moving averages.















