Momentum Pro [FluxQuant]Momentum Pro — Adaptive Momentum & Regime Filter
Overview
Momentum Pro is a next-generation oscillator that combines rate-of-change (ROC), relative-strength (RSI), and stochastic-momentum frameworks into a unified adaptive model. It dynamically filters momentum through volatility, directional-movement, and trend-strength conditions to highlight only qualified signals in changing market regimes.
🔹 Key Features
Selectable Core Algorithm: Choose between ROC, RSI, or Stochastic momentum engines
Adaptive Signal System: Cross-based entries gated by volatility and trend filters
Quality Filters: Volatility, momentum intensity, and directional bias validation
Overbought / Oversold Zones: Automatic detection with background visualization
Multi-Timeframe Sync: Confirm intraday signals with higher-timeframe momentum
Divergence Scanner: Pivot-based detection of regular bullish / bearish divergences
Smart Dashboard: Real-time summary of market state, momentum strength, and filter status
Dynamic Visual Themes: Gradient, Premium, and Glassmorphism histogram modes
🧠 How It Works
Momentum Pro calculates normalized momentum using your selected algorithm and applies layered filters to ensure that only statistically significant moves are emphasized.
The volatility filter measures current vs. average ATR to confirm expansion.
The trend filter assesses DI +/ DI – differentials for directional bias.
The momentum gate suppresses signals during consolidation or low-range conditions.
Optional higher-timeframe data aligns local momentum with broader bias for cleaner entries.
When these filters agree, momentum crossovers or divergences are visually highlighted as potential study points — not trade instructions.
📈 Interpreting the Dashboard
Field Meaning
Market State Identifies current regime (Bullish, Bearish, Overbought, Oversold, Ranging)
Momentum Current oscillator value (0–100 normalized scale)
Change Recent acceleration / deceleration in momentum
Filter Whether volatility and trend criteria are satisfied
Signal Active cross or directional alignment
Trend / Vol / Intensity Strength metrics (Elite mode)
HTF Sync Confirms alignment with higher-timeframe momentum bias
Use the dashboard as a contextual overlay — not as a mechanical signal generator.
🧩 Configuration Guide
Algorithm: Select ROC for reactive speed, RSI for balanced smoothness, or Stochastic for cyclical range focus.
Signal Line: Enable to visualize crossovers. “Glow” style enhances contrast for clarity.
Filters: Keep “Enable Filter” active to limit noise. Adjust Volatility & Trend thresholds for sensitivity.
Zones: Use background fills to mark overbought / oversold regions and regime shifts.
Divergence: Turn on for automatic pivot-based divergence marking.
Multi-Timeframe: Enable HTF confirmation to study alignment with larger trend context.
Dashboard: Choose Minimal → Elite modes depending on information density preference.
🧭 Best Practices
Works on all markets — equities, futures, crypto, FX
Ideal for 15 m – 4 h – Daily timeframes
Pairs well with structure or liquidity analysis for confirmation
Use filters to isolate expansion phases; avoid trading during neutral states
⚠️ Disclaimer
Momentum Pro is an educational and analytical tool intended for research and visualization only.
It does not provide financial advice, trade signals, or guaranteed outcomes.
Always conduct independent analysis and risk assessment before making trading decisions.
🛠 Release Notes
v 1.0 — Initial Public Release
Multi-algorithm momentum core (ROC / RSI / Stochastic)
Volatility + trend quality filter system
Multi-timeframe synchronization and ribbon overlay
Divergence scanner and contextual dashboard
Dynamic visualization modes
Multitimeframe
ZenAlgo - Boxer StocksThis indicator plots multi-period Volume-Weighted Average Price (VWAP) ranges and deviation bands across several timeframes — specifically weekly, monthly, quarterly, semi-annual, and yearly. It is designed to visualize how price evolves relative to statistically weighted value areas within each period, based on both traded price and volume distribution.
Each timeframe layer is drawn independently, using its own cumulative VWAP and standard deviation calculation, and displayed as horizontal ranges aligned precisely with calendar periods. This structure allows the chart to show where price currently trades relative to past value zones and how each higher-timeframe VWAP acts as a dynamic reference for mean reversion or continuation.
Calculation Logic
1. Source and Base Inputs
The indicator uses the average of high, low, and close as its price source.
Stocks reset daily at session open.
2. VWAP and Deviation Computation
For each active timeframe, it accumulates the product of price and volume and divides it by cumulative volume, forming a continuously updated VWAP within that period.
The dispersion of price around VWAP is measured through a volume-weighted variance, converted to standard deviation.
These values form symmetrical bands around the VWAP (±1σ, ±2σ, etc.), describing the statistically typical price spread.
3. Range Drawing and Persistence
When a new period begins (e.g., a new week or month), the script finalizes the previous VWAP and deviation values, fixes them to time coordinates representing the full duration of that completed period, and draws corresponding lines or boxes across the entire range.
The user can control how many historical periods remain visible, ensuring performance and clarity even on high-frequency charts.
Each band can be toggled independently (for example ±1, ±2, ±3 deviations), and colors are adjustable per timeframe.
4. Adaptive Time Anchors
The start of each timeframe is aligned with calendar boundaries.
For stocks, the start time aligns with 9:30 New York time to coincide with market open for NYSE.
Each new anchor triggers a reset of cumulative data and creation of a new VWAP range.
5. Visualization Structure
The weekly layer is drawn first and can optionally display live VWAP bands extending backward for a user-defined number of weeks.
Monthly, quarterly, semi-annual, and yearly layers use the same computation principle but with independent accumulation windows.
The central VWAP line is dashed, while outer deviation levels are drawn as dotted or solid lines depending on their multiplier.
Boxes are rendered for key deviation intervals (e.g., ±2σ) to highlight broader value zones.
Interpretation
The VWAP represents the mean price weighted by traded volume for the given period.
Deviation bands describe statistically typical distance from that mean; outer bands mark less frequent extremes.
When price remains within ±1σ or ±2σ, it suggests balance around fair value.
Repeated touches or breaks beyond outer deviations indicate expansion or compression of volatility relative to prior periods.
Overlaps of VWAPs from multiple timeframes reveal multi-period confluence zones, useful for observing where long-term and short-term value agree or diverge.
Recommended Timeframes by Range Type
Weekly Range
Recommended timeframe: 30m to 12h
Suggested options: 30m, 1h, 2h, 3h, 4h, 6h, 8h, 12h
Using lower timeframes (like 5m) is technically possible, but higher ones provide smoother visualization and better readability.
Monthly Range
Recommended timeframe: 1h to 1D
Suggested options: 1h, 2h, 3h, 4h, 6h, 8h, 12h, 1D
Lower timeframes such as 30m may not display the full monthly range due to TradingView’s bar limits, so use higher TFs for complete coverage.
Quarterly Range
Recommended timeframe: 4h to 1W
Suggested options: 4h, 6h, 8h, 12h, 1D, 1W
Quarterly ranges benefit from higher timeframes to ensure that enough historical data is visible without exceeding chart limits.
Semi-Annual Range
Recommended timeframe: 12h to 1M
Suggested options: 12h, 1D, 1W, 1M
Lower timeframes would require too many bars to load a full six-month range; higher TFs offer a clearer overview.
Yearly Range
Recommended timeframe: 1D to 1M or higher
Suggested options: 1D, 1W, 1M
Yearly ranges often cannot display correctly on low timeframes (e.g. 1h) because of TradingView’s maximum bar limits — for instance, five years of 1h data exceeds 40,000 bars. Use higher TFs for accurate rendering.
Added Value Compared to Common Free VWAP Indicators
Incorporates five independent timeframes simultaneously (week, month, quarter, half-year, year) with exact calendar anchoring and timezone handling.
Calculates volume-weighted deviation for each layer, maintaining consistent statistical scale across assets.
Provides historical box persistence , allowing comparison of completed VWAP structures instead of only current running lines.
Enables selective visibility, bandwidth control, and precise visual differentiation through adjustable colors and line weights.
Limitations and Notes
The indicator does not generate trading signals. It is purely analytical and descriptive.
On very low timeframes or illiquid assets, deviation values may fluctuate if volume data is inconsistent.
Historical boxes are approximate in length for months with fewer than 31 days; this simplification has negligible effect on interpretation.
High visual density may occur when enabling many deviations or timeframes at once; users should limit visible history for performance.
Best Usage Practices
Apply on intraday charts (5–240 min) to study how price interacts with weekly or higher-timeframe VWAP zones.
Observe convergence of VWAPs from multiple periods to locate significant equilibrium levels.
Use outer deviations to frame potential exhaustion or re-entry zones rather than directional predictions.
Combine with independent volume- or structure-based analysis for context.
PipGuard RollerPipPipGuard RollerPip – Confirmed Swing (H/L) Detector with Visual Guidance
Indicator published by PipGuard.
PipGuard RollerPip is a confirmed swing detector that plots H (swing high) and L (swing low) labels directly on the chart. It includes horizontal guides extending to the current candle and a compact legend showing the latest detected swing.
The logic is designed to identify true structural swings , filtering out market noise and ignoring minor fluctuations that lack technical relevance.
How it Works
• Detection Method (Non-Classical):
Unlike traditional 3-candle or fractal models (e.g., ICT-style structures), RollerPip employs a more refined process. It combines trend dynamics , movement amplitude , volume intensity , and closing behavior within a dynamic bar range .
This approach allows it to detect genuine structural swings moments where price exhaustion or continuation is confirmed while drastically reducing false signals.
• Labels and Guides:
Each confirmed swing generates an H (High) or L (Low) label with a progressive effect that softens over time.
Optional horizontal guides extend the swing level to the current candle, offering a clear visual anchor for ongoing analysis.
• Dynamic Legend:
A mini-legend updates in real-time, showing the most recent swing (H or L) for immediate context of the current market phase.
• Built-in Alerts (Focus):
Alerts trigger only on candle close when a new confirmed swing High or Low is detected.
Notifications automatically include symbol and timeframe , ensuring you never miss a key structural move , even when away from the chart.
How to Use
1. Add the script to your chart.
2. Observe the H/L labels to identify confirmed swing points.
3. Use the guides to maintain a visual reference up to the current bar.
4. Enable alerts (New Swing HIGH / LOW) to receive automatic notifications whenever a new swing is confirmed.
5. Integrate this information into your own technical workflow and risk management system.
EXAMPLE OF USE
EXAMPLE OF USE
Settings
• `Label Size` → Controls the size of H/L markers.
• `Swing → Current Candle Guides` → Enables or disables guide lines.
• `Maximum Guide Length (bars)` → Sets the extension of the visual reference.
• `Dashed Style` → Toggles between solid or dashed line style.
• Integrated Alerts: Two ready-to-use conditions ( New Swing HIGH / LOW ) with formatted messages (ticker + timeframe).
• All visual parameters are preconfigured to ensure a clean, consistent, and professional display.
Limitations
• Swings are confirmed on bar close they validate turning points but do not anticipate them.
• In low-volatility or sideways phases, more frequent swings may appear.
• Past performance does not guarantee future results .
Access
This script is available under invite-only access .
To request access, use the link provided in our Signature below this publication.
Note: This is a technical analysis tool designed to study price structure and movement. It does not constitute investment advice or imply guaranteed outcomes.
Indicator published by PipGuard.
EMA921// ─────────────────────────────────────────────
// Notes for Publishing
// ─────────────────────────────────────────────
// This script plots EMA 9 and EMA 21 with trend shading.
// Colors: EMA 9 = Orange, EMA 21 = White
// Ideal for short-term trend following & entries.
Multi-Period MTF RSI MomentumThis indicator gives multi-period and multi-timeframe RSI momentum.
There are three RSI indicators. Current, Lower and Higher timeframes.
The relative position of different time frame RSIs provide relative momentum indication. Lower timeframe RIS above Higher time frame indicate improving momentum.
If the RSI is above 55 then stay bullish, below 45 bearish and 45-55 is ranging.
There are many strategies you can trade. one is if the high of candle where RSI cross 55 is crossed then buy, or low of the RSI crossng below 45 is broken ten sell etc.
TS Viewer MTFThis indicator allows you to visualize Turtle Soup (TS) and Pending Range (R) formations on the current timeframe (TF).
You can also enable other timeframes to display additional pending ranges.
Multi-TF mode can be enabled or disabled based on your needs. However, since retrieving higher-TF data takes more time to process, it’s recommended to enable only a few of them. For example, the following correlations are suggested to keep the indicator running smoothly and prevent timeout errors:
• W → D
• D → 4H
• 4H → 1H
• 1H → 5m
Also, fetching data from multiple timeframes may depend on your TradingView plan, so please keep that in mind.
This indicator is free, but it took several hours to develop.
If you’d like to buy me a coffee, it would be greatly appreciated ☕🙂
USDT TRC20:
TKjUywMV1ahBTFK2s27gE2xeVk9f2GMqDo
QV 4D BX ReversalThis algorithm excels in long-term trading and identifying momentum reversals on higher timeframes. To maximize profits, you can then leverage the QV 2H/4D 2BX & FVB Strategy algorithm, switching to a lower timeframe for precise short-term trades.
### Overview of the Strategy
The "QV 4D BX Reversal" is a Pine Script (version 5) trading strategy for TradingView, designed as a reversal-based system using a custom momentum oscillator called "B-Xtrender" on a higher timeframe (default 4-day). It supports user-selected long-only or short-only trading, entering on signs of momentum reversal or continuation in the oscillator's direction. The strategy uses 5% of equity per trade, with no commissions, and focuses on simple entry/exit rules based on the oscillator's value, changes, and thresholds. It's plotted in a separate pane as a colored histogram (green for positive/uptrending, red for negative/downtrending), with a centerline at 0. This script is suited for trend-reversal trading in assets like stocks, forex, or crypto, emphasizing higher-timeframe signals for reduced noise.
The name likely refers to:
- **QV**: QuantVault (the creator).
- **4D**: Default 4-day timeframe for the oscillator.
- **BX**: B-Xtrender oscillator.
- **Reversal**: Focus on detecting momentum shifts for entries and exits.
It's licensed under Mozilla Public License 2.0, making it open-source friendly.
### Key Indicators and Calculations
The core of the strategy is a single indicator fetched from a higher timeframe:
1. **B-Xtrender Oscillator (shortTermXtrender)**:
- Formula: `RSI(EMA(close, short_l1) - EMA(close, short_l2), short_l3) - 50`.
- Defaults: L1=5, L2=20, L3=5.
- This measures momentum in the difference between a fast and slow EMA, normalized via RSI, and centered around 0 (positive = bullish, negative = bearish).
- Fetched via `request.security` from the input timeframe (TF1, default "4D").
- Plotted as a histogram:
- Green (lime if increasing, darker if decreasing) when >0.
- Red (bright if increasing toward 0, darker if decreasing) when <0.
- A dashed gray hline at 0 acts as a centerline for crossovers.
No other indicators like ATR or bands are used—it's purely oscillator-driven.
### How the Strategy Works: Entries
Entries trigger on momentum shifts or continuations in the B-Xtrender, filtered by the selected trade direction. Only one direction is active at a time (no hedging).
- **Long Direction**:
- **Entry Condition** (`long_entry`): Triggers if either:
- Crossover above 0 (from below) AND the value is increasing (current > previous).
- OR simply increasing (current > previous), regardless of level.
- On entry, it records if the oscillator was below the exit level (exit_lvl, default 3.5) via `entryBelowExit` for a special exit rule.
- Enters a long position with 5% of equity.
- **Short Direction**:
- **Entry Condition** (`short_entry`): Triggers if either:
- Crossunder below 0 (from above) AND the value is decreasing (current < previous).
- OR simply decreasing (current < previous), regardless of level.
- Enters a short position with 5% of equity.
No pyramiding or position sizing variations—entries are straightforward and can re-enter immediately after exits if conditions met. No additional filters like volume or price action.
### How the Strategy Works: Exits
Exits close the entire position based on adverse momentum signals, with combined rules for robustness. Exits are direction-specific and only trigger if in a position.
- **Long Exits** (`long_exit`): Closes the long if any of:
- Crossunder below the exit level (default 3.5).
- Oscillator is red (<=0) AND decreasing for 2 consecutive bars (current < prev, prev < prev ).
- If entry was below exit level (`entryBelowExit` true), crossunder below 0.
- Comment on close indicates the reason (e.g., "Cross below 3.5" or "Red + 2-bar decline").
- Resets `entryBelowExit` after exit.
- **Short Exits** (`short_exit`): Closes the short if any of:
- Crossover above the negative exit level (-3.5).
- Oscillator is green (>=0) AND increasing for 2 consecutive bars (current > prev, prev > prev ).
- Comment on close indicates the reason (e.g., "Cross above -3.5" or "Green + 2-bar increase").
This setup aims to exit on weakening momentum or threshold breaches, protecting against reversals. No partial exits or trailing stops—full close only.
### Alerts
The script includes alert conditions for key events, which can be set up in TradingView for notifications:
- Long Entry (Crossover): "B-Xtrender crossed above 0 and is rising → LONG".
- Long Entry (Increasing): "B-Xtrender TF1 is increasing → LONG".
- Long Exit (Red + 2-Bar Decline): "B-Xtrender is red and decreased for 2 bars → EXIT LONG".
- Short Entry (Crossunder): "B-Xtrender crossed below 0 and is falling → SHORT".
- Short Entry (Decreasing): "B-Xtrender TF1 is decreasing → SHORT".
- Short Exit (Green + 2-Bar Increase): "B-Xtrender is green and increased for 2 bars → EXIT SHORT".
These use `alertcondition` for easy setup.
### Additional Notes
- **Customization**: Inputs allow tweaking EMA lengths, timeframe, exit level, and direction. Best for higher TFs like 4D to capture multi-day reversals.
- **Risk Management**: Relies on equity percentage sizing; no built-in stops beyond oscillator exits. Users should backtest for drawdowns.
- **Limitations**: Single-timeframe focus may miss broader trends; no volume or volatility filters. Assumes chart TF is lower than "4D" for accurate security requests.
- **Performance**: Suited for ranging or reversing markets where momentum shifts are frequent. In strong trends, it might enter/exit prematurely.
This strategy provides a simple, momentum-based reversal system, ideal for beginners or as a building block for more complex setups.
QV 1W/1M 2BX & FVB StrategyUse on Weekly Timeframe
### Overview of the Strategy
The "QV 1W/1M 2BX & FVB Strategy" is a TradingView Pine Script (version 5) strategy designed for trend-following trading on financial instruments like stocks, forex, or cryptocurrencies. It supports both long and short directions (user-selectable via input), with a focus on multi-timeframe momentum analysis using custom oscillators (called "Xtrender"), a volatility-based trailing line (Red ATR), Fair Value Bands (FVB) for deviation-based targets, and Break of Structure (BOS) for invalidation. The strategy allows pyramiding (adding to positions) and includes multiple exit mechanisms, including full exits and partial scale-outs. It's optimized for higher timeframes like weekly (1W) and monthly (1M) by default, but can be customized.
The strategy overlays indicators on the chart but runs in a non-overlay mode for its own panel (showing histograms). It uses 5% of equity per trade by default, with pyramiding limited to one additional entry (effectively doubling the position). It incorporates risk management through ATR-based stops and band deviations, and provides alerts for key events like band touches or BOS breaks.
The name likely refers to:
- **1W/1M**: Default timeframes for the two Xtrender oscillators.
- **2BX**: Dual "B-Xtrender" oscillators (short-term on two timeframes).
- **FVB**: Fair Value Bands for scaling out.
It assumes good intent for directional trading and doesn't enforce drawdown limits beyond the exits.
### Key Indicators and Calculations
The strategy relies on several custom indicators to generate signals:
1. **Short-Term Xtrender Oscillators**:
- These are momentum indicators based on RSI of the difference between two EMAs (Exponential Moving Averages), shifted by -50 to center around zero.
- **TF1 (e.g., 1W)**: Calculated as `RSI(EMA(close, short_l1) - EMA(close, short_l2), short_l3) - 50`, fetched from the specified timeframe.
- **TF2 (e.g., 1M)**: Same formula, but on a higher timeframe for broader trend confirmation.
- A combined version sums them for potential use, but the strategy primarily uses them separately.
- Plotted as histograms: Green shades for positive/upward momentum (brighter for 2-bar increases or zero crosses), red shades for negative/downward.
- TF2 direction persists across bars to detect if it's increasing or decreasing.
2. **Long-Term Xtrender**:
- Simpler RSI of an EMA: `RSI(EMA(close, long_l1), long_l2)`.
- Not directly used in entries/exits in this script (possibly a remnant or for visualization).
3. **Red ATR Line**:
- A volatility-based trailing line, similar to SuperTrend.
- Calculated using ATR (Average True Range) over a length (default 10), multiplied by a factor (default 2.5).
- It flips direction based on price closes above/below the previous line value, creating an upper/lower bound.
- Plotted as a red line on the price chart (overlay=true).
- Used for entries (pyramiding on cross), exits (full exit on adverse cross), and conditional checks.
4. **Fair Value Bands (FVB)**:
- Based on a smoothed "fair price" (SMA of OHLC4 over fair_value_length, default 33).
- Calculates median deviations from this fair price using historical high/low spreads and pivot highs/lows.
- Creates three upper bands (for longs) and three lower bands (for shorts) at multipliers (0.6x, 1.0x, 1.4x by default).
- Upper bands: Fair price + deviation spreads (boosted for pivots outside bands).
- Lower bands: Fair price - deviation spreads.
- Plotted in yellow/orange/red gradients, visible only for the selected direction.
- Used for scale-out exits and re-entry conditions after full exits.
5. **Break of Structure (BOS)**:
- Tracks the last swing low (for longs) or swing high (for shorts) using pivotlow/pivothigh over 5 bars left/right.
- Plotted as a white line if enabled.
- Acts as a support/resistance level for invalidation exits.
6. **2-Bar Conditions**:
- For longs: TF1 Xtrender red (below 0) and decreasing for two consecutive bars.
- For shorts: TF1 Xtrender green (above 0) and increasing for two consecutive bars.
- Used for adverse momentum exits.
7. **Other Checks**:
- TF1 cross above/below zero.
- Large changes in TF1 Xtrender (greater than exit_amount, default 40).
A custom T3 (Tillson T3) smoothing function is defined but not used in the visible code—possibly for future extensions.
### How the Strategy Works: Entries
The strategy enters positions based on momentum alignment across timeframes, with safeguards to avoid re-entering immediately after full exits.
- **Direction Selection**:
- User chooses "Long" or "Short" via input. The strategy only trades in that direction.
- **Main Entry** (if enabled):
- **For Longs**:
- TF2 Xtrender is increasing (change > 0) or above a threshold (default 10).
- TF1 Xtrender is increasing (current > previous).
- No existing long position (position_size <= 0).
- If previously fully exited a long, price must be <= 2x upper band (upper2) to re-enter.
- **For Shorts**:
- TF2 Xtrender is decreasing (change < 0) or below -threshold.
- TF1 Xtrender is decreasing (current < previous).
- No existing short position (position_size >= 0).
- If previously fully exited a short, price must be >= 2x lower band (lower2) to re-enter.
- Entry size: 5% of equity (default).
- **Pyramiding** (if enabled):
- Adds one more entry (doubling the position) when price crosses the Red ATR line in the favorable direction.
- For longs: Crossover above Red ATR.
- For shorts: Crossunder below Red ATR.
- Tracks initial quantity to ensure only one add-on per trade cycle.
- Pyramiding limit: 1 (as set in strategy declaration).
Upon entry, it records the initial position size, resets flags for scaling/exiting, and sets the BOS level (last swing low/high).
### How the Strategy Works: Exits
Exits are modular, with toggles for each type. Full exits set a "has_fully_exited" flag to prevent immediate re-entries until price retraces to the 2x band. Partial scale-outs (50%) can repeat unlimited times if price oscillates around bands.
- **Full Exits** (close entire position, mark as fully exited):
1. **ATR Exit** (if enabled): Adverse cross of Red ATR (e.g., close below for longs).
2. **2-Bar Exit** (if enabled): Adverse 2-bar momentum in TF1, and price below/above Red ATR (e.g., red and decreasing for longs).
3. **TF1 Below/Above Zero Exit** (if enabled): TF1 crosses zero adversely, only if price is on the wrong side of Red ATR.
4. **Large TF1 Change Exit** (if enabled): Adverse large drop/rise in TF1 (> exit_amount).
5. **BOS Exit** (if enabled): Price crosses BOS level adversely (e.g., below swing low for longs).
6. **3x Band Exit** (if enabled): Price crosses above 3x band (for longs) or below (for shorts), but waits for a cross back inside to exit fully.
- **Partial Scale-Outs** (50% of current position, repeatable):
1. **1x Band** (if enabled): Cross above 1x upper (longs) or below 1x lower (shorts), then cross back inside.
2. **2x Band** (if enabled): Similar logic for 2x bands.
Exits use waiting flags to detect the full cross-and-return cycle, ensuring they trigger only after touching and retreating from the band.
### Alerts
- **Band Touch Alerts** (if enabled): Triggers on price touching any 1x/2x/3x upper/lower band from above or below (real-time, freq_all).
- **BOS Touch Alert** (if enabled): Price touches BOS level from adverse side.
- **BOS Cross Alert** (if enabled and BOS exit on): Price crosses and closes beyond BOS (once per bar close).
- Alerts reset per new bar to allow multiple triggers if conditions recur.
### Additional Notes
- **State Management**: Uses `var` variables for persistent states like TF2 direction, swing levels, position tracking, and alert flags.
- **Visualization**: Histograms for Xtrenders, lines for Red ATR, Fair Value (blue middle), bands (colored), and BOS (white).
- **Customization**: All key params (lengths, multis, thresholds) are inputs. Disabling features simplifies the strategy.
- **Limitations**: No built-in stop-loss beyond BOS/ATR; relies on equity percent sizing. Assumes chart timeframe is lower than TF1/TF2 for security requests.
- **Performance**: Backtesting would depend on the asset and settings—e.g., works best in trending markets due to momentum filters.
This strategy combines trend confirmation (multi-TF oscillators), volatility trailing (Red ATR), and deviation targets (FVB) for a balanced approach to capturing moves while scaling out profits and cutting losses on reversals.
QV 1D/1W 2BX & FVB StrategyUse this on a 1D timeframe
### Overview of the Strategy
The "QV 1D/1W 2BX & FVB Strategy" is a custom trading strategy implemented in Pine Script v5 for the TradingView platform. It is designed for directional trading (long or short positions) on any asset, using a combination of momentum oscillators, trailing stops, fair value deviation bands, and structure breaks to generate entry and exit signals. The strategy name likely refers to "QuantVault" (the creator), using two timeframes (1D daily and 1W weekly) for "2BX" (possibly "2-Bar Xtrender" or similar), and "FVB" for Fair Value Bands.
This is not an overlay strategy (it plots indicators in a separate pane below the price chart), and it supports pyramiding (adding to positions) with a limit of 1 additional entry. It uses 5% of equity per trade by default, with an initial capital of $50,000 and commission accounted for. The strategy can be toggled for long-only or short-only modes and includes customizable enables/disables for various entry/exit rules and alerts. It aims to capture trends by entering on momentum confirmation across multiple timeframes and exiting based on reversals, profit targets (via bands), or stops.
The core idea is trend-following with risk management: Enter when higher-timeframe momentum aligns with lower-timeframe improvements, add to winners when price breaks a trailing level, and exit via multiple protective mechanisms or scaled profit-taking at deviation levels.
### Key Indicators and Calculations
The strategy relies on several custom indicators plotted on the chart or used for signals:
1. **Xtrender Oscillators (Short-Term and Long-Term)**:
- These are momentum indicators based on RSI (Relative Strength Index) applied to differences in EMAs (Exponential Moving Averages).
- **Short-Term Xtrender (on TF1 and TF2)**: Calculated as `RSI(EMA(close, short_l1) - EMA(close, short_l2), short_l3) - 50`. This creates an oscillator centered around 0.
- TF1 (default: 1D) is used for precise timing.
- TF2 (default: 1W) provides broader trend direction, with persistent state to detect if it's increasing or decreasing.
- Plotted as histograms: Green shades for positive/upward momentum, red for negative/downward. Special colors highlight 2-bar confirmations or centerline crosses.
- **Long-Term Xtrender**: Simpler RSI of EMA(close, long_l1) over long_l2, but it's defined and not directly used in the provided logic (possibly a remnant or for future expansion).
- A centerline at 0 separates bullish (above) from bearish (below) territories.
- 2-Bar Conditions: Checks for consecutive bars where the TF1 oscillator is red/green and decreasing/increasing, used for exits.
2. **Red ATR Line (Trailing Stop)**:
- A volatility-based trailing line similar to SuperTrend, using ATR (Average True Range) over a length (default: 10) multiplied by a factor (default: 2.5).
- It flips direction based on price closes: Upward trailing for longs (below price), downward for shorts (above price).
- Plotted as a red line on the price chart (forced overlay).
- Used for entries (pyramiding on cross), exits (full exit on adverse cross), and conditional checks.
3. **Fair Value Bands (FVB)**:
- These are dynamic deviation bands around a "fair price" middle line, which is an SMA (Simple Moving Average) of OHLC4 (average of open/high/low/close) over a length (default: 33).
- **Deviation Calculation**: Analyzes spreads from highs/lows to the fair price, using medians of historical deviations and pivot highs/lows (over 5 bars left/right).
- Upper bands (for longs): Boosted deviations above fair price, multiplied by factors (0.6 for 1x, 1.0 for 2x, 1.4 for 3x).
- Lower bands (for shorts): Similar but below fair price.
- Plotted only for the selected direction: Yellow (1x), orange (2x), red (3x) lines on the price chart.
- Acts as profit targets: Scale out or exit fully when price touches/crosses these bands.
- Uses arrays to store historical deviations/pivots, capped at 1000-2000 elements for efficiency.
4. **Break of Structure (BOS)**:
- Identifies the last swing low (for longs) or high (for shorts) using pivot lows/highs (5 bars left/right).
- Plotted as a white line on the price chart if enabled.
- Used as a stop-loss level: Exit if price breaks below (longs) or above (shorts).
5. **Other Elements**:
- Custom T3 (Tillson Moving Average) function is defined but not used in the script—possibly for future or removed features.
- Persistent variables track position states (e.g., initial quantity, doubled status, waiting for exits) to manage scaling and prevent re-entries after full exits until conditions reset.
### How the Strategy Works: Entry Logic
Entries are direction-specific and require alignment between timeframes for momentum.
- **Main Entry**:
- **For Longs**: Enabled if `enable_main_entry` is true.
- TF2 condition: Either increasing or above a threshold (default: 10).
- TF1 condition: Oscillator is increasing (current > previous).
- Position check: No current long position (or fully exited previously), and price is at or below the 2x upper band (to avoid chasing highs).
- Triggers a long entry with 5% equity.
- **For Shorts**: Symmetric but inverted.
- TF2 decreasing or below -threshold.
- TF1 decreasing.
- No short position (or fully exited), price at or above 2x lower band.
- Triggers a short entry.
- **Pyramiding (Adding to Position)**:
- If `enable_pyramiding` is true and not already doubled.
- For longs: When price crosses above the red ATR line (breaking resistance).
- For shorts: Crosses below red ATR.
- Adds the same initial quantity, effectively doubling the position (pyramiding=1 limits to one add).
Upon entry, it resets state variables (e.g., records initial qty, sets BOS level to last swing low/high).
### How the Strategy Works: Exit Logic
Exits are multifaceted, with full closes for protection and partial scale-outs for profit-taking. All are conditional on enabled inputs and position direction.
- **Full Exits (Close Entire Position)**:
1. **ATR Exit** (`enable_atr_exit`): For longs, if price crosses below red ATR (trailing stop hit). Symmetric for shorts (cross above).
2. **2-Bar Exit** (`enable_2bar_exit`): For longs, if TF1 is red and decreasing for 2 bars, and price is below red ATR. For shorts, green and increasing for 2 bars, price above red ATR.
3. **TF1 Centerline Exit** (`enable_tf1_below0_exit`): For longs, TF1 crosses below 0 and price below red ATR. For shorts, crosses above 0 and price above red ATR.
4. **Large TF1 Change Exit** (`enable_large_decrease_exit`): For longs, TF1 decreases by more than `exit_amount` (default: 40). For shorts, increases by that amount.
5. **BOS Exit** (`enable_bos_exit`): For longs, price crosses below swing low. For shorts, above swing high.
6. **3x Band Full Exit** (`enable_3x_exit`): Waits for crossover above 3x upper (longs) or below 3x lower (shorts), then closes on cross back under/over.
- **Partial Scale-Outs (50% of Position)**:
- Use "waiting" flags to detect touch and retreat from bands.
- **1x Scale-Out** (`enable_1x_scaleout`): Unlimited repeats. For longs, crossover above 1x upper, then close 50% on crossunder. Symmetric for shorts at 1x lower.
- **2x Scale-Out** (`enable_2x_scaleout`): Similar, at 2x bands.
After a full exit, it sets `has_fully_exited` to prevent immediate re-entry until price retreats to the 2x band.
### Alerts
- **Band Touch Alerts** (`enable_band_alerts`): Triggers on price touching any 1x/2x/3x upper/lower band from either side (e.g., "Price touched 1x Upper Deviation band from below").
- **BOS Touch Alert** (`enable_bos_touch_alert`): On touching BOS level.
- **BOS Cross Alert** (`enable_bos_cross_alert`): On crossing and closing beyond BOS.
- Alerts reset per bar and use `alert.freq_all` or `once_per_bar_close` to avoid spam.
### Additional Notes
- The strategy is backtestable in TradingView, with performance depending on parameters (e.g., timeframes, multipliers).
- It's momentum-driven on higher TFs for bias, with lower TF for timing, and volatility/fair value for risk/reward.
- No external data or ML; all calculations are self-contained using TA-Lib functions.
- Potential improvements: The unused T3 and long-term Xtrender could be integrated for filtering.
3s CISD 9 EMA- [CT]Private Algorithm that is invite only. It is only spread through word of mouth and is not available on any website.
This algorithm will give you the best chance at being green and is even better when following specific plays of someone or yourself.
This is not supposed to guarantee profit and the team are not financial advisors. Please always manage your own risk according to your risk tolerance .
Overview
The 3s CISD 9 EMA – indicator is a versatile market structure and sentiment tool that combines CISD (Change in Structural Direction) levels, EMA-based trend bias, and candlestick pattern detection to identify key turning points and continuation setups in price action.
It’s designed for traders seeking precision entries during structural shifts or reversals across any symbol or timeframe.
Key Features
🟡 9 EMA Trend Bias
Plots a 9-period Exponential Moving Average (EMA) to define short-term trend direction.
Optional bar coloring (green for bullish, red for bearish) helps visualize momentum shifts.
📊 CISD (Change in Structural Direction) Levels
Detects bullish and bearish pullbacks and confirms CISD breaks when price structure shifts direction.
Auto-draws labeled horizontal lines (+CISD / -CISD) at critical breakout points.
Supports line style customization (Solid, Dotted, Dashed), width, and extension for clarity.
Option to keep or clear old CISD levels.
Includes alert conditions when a new CISD formation is confirmed.
Real-time state table shows current structure bias: Bullish or Bearish.
📈 Candlestick Signal Suite
1. 3-Line Strike Pattern
Detects both bullish and bearish 3-line strike formations.
Useful for identifying exhaustion moves or reversals after a trend leg.
Configurable on/off toggles for each direction.
2. Engulfing (Big A$$ Candles)
Highlights large engulfing candles that dominate the previous bar.
Distinguishes bullish engulfing (orange triangle up) and bearish engulfing (blue triangle down).
Integrated alert conditions for automated notifications.
Customization Options
Toggle visibility for EMA, bar colors, CISD lines, labels, and pattern signals.
Adjustable line width, style, and extension length for CISD visuals.
Selectable table position (Top Right, Bottom Center, etc.).
Separate alert controls for bullish and bearish CISD events.
Alerts
“Bullish CISD Formed” → Indicates potential upward structural shift.
“Bearish CISD Formed” → Indicates potential downward structural shift.
Engulfing pattern alerts → Triggered when large reversal candles appear.
How to Use
Enable EMA and bar color for quick trend visualization.
Watch for CISD line breaks to anticipate structural changes.
Confirm entries with 3-Line Strike or Engulfing candle signals.
Use the State Table to track current directional bias.
Optional: Set alerts for CISD events to stay informed automatically.
Best Used For
Structure-based trading (ICT, Wyckoff, or price-action styles).
Identifying short-term reversals or continuation setups.
Multi-timeframe confluence analysis.
Momentum confirmation with 9 EMA and pattern alignment.
Disclaimer:
This script is for educational and analytical purposes only. Past performance does not guarantee future results. Always perform independent analysis before making trading decisions.
Candle Close IndicatorCandle Close IndicatorDescription:
Simple indicator for alerts on candle closes in a selected timeframe. Sends a concise message: " - candle close - price " (e.g., "solana - 1 H candle close - price 187.2"). Ideal for multi-timeframe trading without noise.Key Features: Alerts: Only ticker, timeframe & close price. Uses alert.freq_once_per_bar_close.
Visuals: Optional markers & close price line.
Table: Compact info panel (timeframe, status, last close, symbol).
Compatibility: Pine v5, all assets.
Instructions: Add to chart & set timeframe (default: 15m).
Create alert with "Candle Close" condition.
Enable markers for visuals if desired.
Time & Session Dividers### indicator Summary
This indicator is a powerful utility designed to help you visualize time-based market structure by drawing customizable vertical lines on your chart. It allows you to clearly mark the beginning of new timeframes (like hours, days, or weeks) and highlight specific trading sessions or time slots (like the London open or a news event).
It comes with **6 independent dividers** that you can configure to your exact needs:
* **3 Timeframe Dividers**
* **3 Custom Time Slot Dividers**
### Key Features
* **Timeframe Separators:** Set up to 3 different higher timeframes (e.g., 1H, 4H, 1D). The indicator will automatically draw a vertical line at the start of each new bar for that timeframe, helping you easily see hourly, daily, or weekly boundaries.
* **Custom Time Slots (Sessions):** Define up to 3 specific time windows (e.g., "09:30-16:00" for the New York session). The indicator will draw a line at the **start** of this session and another line at the **end**, allowing you to isolate specific periods of market activity.
* **Full Customization:** Each of the 6 dividers is fully independent and can be customized with:
* A simple toggle to turn it on or off.
* A unique color.
* A line style (Solid, Dotted, or Dashed).
* A toggle to show or hide its text label.
* **Smart Labels:** Labels for timeframe dividers display the timeframe (e.g., "4H"), while labels for time slots automatically format to show the precise start or end time (e.g., "09:30" and "16:00").
### How to Use
1. Add the "Timeframe Vertical Lines" indicator to your chart.
2. Open the indicator's **Settings** panel.
3. **To add a timeframe line (e.g., Daily):**
* Go to the "Timeframe Divider 1" group.
* Check the "Show Divider 1" box.
* Set the "Timeframe 1" to "1D".
* Adjust the color, style, and text visibility to your liking.
4. **To add a session line (e.g., London Session):**
* Go to the "Time Slot Divider 1" group.
* Check the "Show Time Slot Divider 1" box.
* Set the "Time Slot 1" to your desired session, e.g., "0800-1700".
* Adjust the color and style. The script will now draw lines at 08:00 and 17:00 (based on the chart's timezone).
5. Repeat the process using the other available divider slots to build a complete temporal map of your chart.
Futures Fighter MO: Multi-Confluence Day Trading System ADX/SMI👋 Strategy Overview: The Multi-Confluence Mashup
The Futures Fighter MO is a comprehensive, multi-layered day trading strategy designed for experienced traders focusing on high-liquidity futures contracts (e.g., NQ, ES, R2K).
This strategy is a sophisticated mashup that uses the 1-minute chart for surgical entries while enforcing strict environmental filtering through higher-timeframe data. We aim to capture high-conviction moves only when multiple, uncorrelated signals align.
🧠 How the Logic Works (Concepts & Confluence)
Our logic is built on four pillars, which must align for a trade to be executed:
Primary Trend Filter
Indicators :
ADX/DMI (15-Minute Lookback)
Role :
Price action is filtered to ensure the ADX (17/14) is above 25, confirming a strong, prevailing market trend (Bullish or Bearish). Trades are strictly rejected during "Flat" (sideways) market regimes.
Entry Signal Types
The system uses multiple entry types:
- 🟢 Trend Long/Short: A breakout/rejection near the 200-Period EMA is confirmed by the primary ADX trend.
- 🔴 Engulfing Rejection: A strong signal when a Bullish/Bearish Engulfing or Doji prints near the long-term 500-Period EMA (emaGOD) while the Stochastic Momentum Index (SMI on 30M) is in an extreme overbought/oversold state (below $-40$ or above $40$).
Volatility & Volume Confirmation
Indicators: Average True Range (ATR) and 20-Period SMA of Volume
Role: Every entry requires a volume spike (Current Volume $> 1.5 \times$ SMA Volume) to confirm that the move is supported by significant liquidity. Volatility is tracked via ATR to define bar range and stop boundaries.
Structural Guardrails
Indicators: Daily Pivot Points (PP, S1-S3, R1-R3)
Role: Trades are disabled if the current bar's price range intersects with a Daily Pivot Point. This is a critical filter to avoid high-chop consolidation zones near key structural levels.
📊 Strategy Results & Required Disclosures
I strive to publish backtesting results that are transparent and realistic for the retail futures trader.
- Initial Capital: $50,000 - A realistic base for Mini/Micro futures contracts.
- Order Size: 1 Contract (Pyramiding up to 3) - Conservative risk relative to the account size.
- Commission: $0.11 USD per order - Represents realistic costs for low-cost brokers.
- Slippage: 2 Ticks - Accounts for expected market friction.
⚠️ Risk Management & Deviations
Stop-Loss: The strategy uses a dynamic stop-loss system where positions are closed upon a reversal (e.g., breaking the 50-Period EMA or failure to hold a Pivot Point), rather than a fixed tick-based stop. This is suited for experienced traders using a low relative risk (single Micro-contract entry) on a larger account. Users must confirm that the first entry's maximum potential loss remains below $10\%$ of their capital for compliance.
Trade Sample Size: Due to data limitations of the TradingView Essential plan (showing $\approx 50$ trades over 2 weeks), the sample size is under the ideal $100+$ target. Justification: This system is designed to generate signals across a portfolio of correlated futures markets (NQ, ES, R2K, Gold, Crude), meaning the real sample size for a user tracking the portfolio is significantly higher.
Drawdown Control: This strategy is designed for manual management. It requires the user to turn the script/alerts OFF after a significant drawdown and only reactivate it once a recovery trend is established externally.
The strategy uses a combination of dynamic trailing stops, structural support/resistance zones, and a fixed profit target to manage open positions.
🛑 Strategy Exit Logic
1. General Stop-Loss (Dynamic Trailing Stop)
These conditions act as the primary dynamic stop, closing the position if the market reverses past a key Moving Average (MA):
- Long Positions Closed When: The current bar's close crosses under the 50-Period EMA (emaLong).
- Short Positions Closed When: The current bar's close crosses above the 50-Period EMA (emaLong).
2. Profit Target (Fixed Percentage)
The script includes a general exit based on a user-defined profit percentage:
Take Profit Trigger: The position is closed when the currentProfitPercent meets or exceeds the input Profit Target (%) (default is 1.0% of the entry price).
3. Structural Exits (Daily Pivot Points)
These exits are high-priority, "close all" orders that trigger when the price fails to hold or reclaims a recent Daily Pivot Point, suggesting a failure of the current move.
- VR Close All - Long ($\sym{size} > 0$) - Price crosses under a Daily Resistance Level (R1, R2, or R3) minus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Resistance as support.
- VS Close All - Short ($\sym{size} < 0$) - Price crosses above a Daily Support Level (S1, S2, or S3) plus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Support as resistance.
4. Trend Failure Exit (Trend-Following Signals Only)
This exit protects against holding a position when the primary high-timeframe trend used for the entry has failed:
- Long Positions Closed When: The primary trend is no longer "bullish" for more than 2 consecutive bars (i.e., it turned "bearish" or "flat").
- Short Positions Closed When: The primary trend is no longer "bearish" for more than 2 consecutive bars (i.e., it turned "bullish" or "flat").
5. End of Day (EOD) Session Control
The final hard exits based on time:
- End of Session (EoS): At 11:30 AM, new trades are disabled (TradingDay := false). Open positions are kept.
- End of Day (EoD): At 1:30 PM, all remaining open positions are closed (strategy.close_all).
🤝 Development & Disclaimer
This script and description were created with assistance from Gemini and GitHub Copilot. My focus is on helping fellow real estate investors and day traders develop mechanically sound systems.
Disclaimer: This is for educational purposes only and does not constitute financial advice. Always abide by the Realtor Code and manage your own risk.
TernTable: VolViz
VolViz - Overview
VolViz is designed to give traders an instant volume strength visualisation tool using multiple timeframes. It provides an interactive table overlay that allows users to track volume metrics across a range of custom-selected timeframes. The table can dynamically display relative volume (RVOL), average volume, and current volume for each selected timeframes in real time.
Additionally, users can toggle various features and adjust thresholds to receive alerts for both high and low volume conditions.
Key Features
* Volume Metrics: Displays three main volume-related data points across multiple timeframes: Relative Volume (RVOL), Average Volume, and Current Volume.
* Timeframe Flexibility: Supports a range of customisable timeframes from seconds, minutes, hours to daily weekly and monthly intervals up to 12 months. Users can select which timeframes to display.
* Dynamic Table: A table is dynamically updated with data for each enabled timeframe, allowing traders to quickly compare volume data across different periods.
* Optional alert System: Includes alert functionality for high and low volume conditions based on customisable thresholds. Alerts can be set for a minimum number of timeframes for a condition to trigger.
Colour Logic
The script uses specific colours to enhance the visual alert properties that represent different ranges of Relative Volume (RVOL), which are used in the table to visually highlight the volume data:
1. Red: RVOL is less than 1.0, indicating low relative volume.
2. Green: RVOL is between 1.0 and 1.2, indicating moderate relative volume.
3. Purple: RVOL is between 1.2 and 1.5, indicating above average relative volume.
4. Orange: RVOL is between 1.5 and 2.0, indicating higher relative volume.
5. Yellow: RVOL is greater than 2.0, indicating very high relative volume.
How to use
1. Inputs:
* Volume Period: Set the period for calculating the moving average of volume (14 period default).
* The script defaults to the 2m 5m 15m 30m 1h 4h 12h D W M timeframes but user defined custom timeframes can be used (comma-separated) to specify the timeframes to track ( e.g "D,W,M,3M,6M,12M”) to a max of 10 timeframes. The table dynamically adjusts its size dependant on how many timeframes the user chooses to input.
* Table Position: Choose where to display the table: Top Left, Top Right, Bottom Left, or Bottom Right.
* Maximum Decimal Places: Control how many decimal places are shown for volume data.
2. Toggles:
* Enable High Volume Alert: Toggle this to activate the high volume alert.
* Enable Low Volume Alert: Toggle this to activate the low volume alert.
* Enable Minimum Timeframes for Alerts: Toggle this to require a specific number of timeframes to meet the alert condition before triggering.
* Pane Labels: There is also an optional debug label found in the Style tab to identify / confirm the current mode selected and the number of timeframes that meet the alert mode criteria.
The Show Row toggles can be utilised to include or exclude rows to take up less space on the chart.
* Show RVOL Row: Toggle to show the relative volume row in the table.
* Show Avg Volume Row: Toggle to show the average volume row in the table.
* Show Current Volume Row: Toggle to show the current volume row in the table.
* Show Spacer Row Below Table: Toggle to show or hide a blank spacer row below the table.
* Show Spacer Row Above Header: Toggle to show or hide a blank spacer row above the header.
3. How the Table Works:
* The table is populated with the following rows:
1. Spacer Row Above Header (optional): Adds space above the table header.
2. Header Row: Displays the timeframes (e.g., "1h", "4h", "12h", etc.).
3. Relative Volume (RVOL): Shows the RVOL for each timeframe, colored according to the thresholds.
4. Average Volume: Shows the average volume for each timeframe.
5. Current Volume: Displays the current volume for each timeframe.
6. Spacer Row Below Table (optional): Adds space below the data rows.
4. Optional Visual Alerts:
* High Volume Alert: When the current volume exceeds the default or user specified threshold compared to the average volume for the enabled timeframes.
* Low Volume Alert: When the current volume is below the default or user specified threshold compared to the average volume for the enabled timeframes.
When the visual alerts trigger unobtrusive diamonds will appear on the chart. White diamonds above the bar to indicate high volume and yellow diamonds below the bar to indicate low volume. These are not trend direction nor entry or exit signals but may be used in conjunction with other indicators for contextual purposes.
Questions or comments are always welcomed and I hope it helps with your trading !
MTF VFSMA SqueezeThe purpose of this indicator is to detect a market squeeze (lack of volatility) period and to identify the initiation and direction of the breakout.
It is based on Variety-Filtered, Squeeze Moving Averages indicator.
The original indicator created by Loxx identifies both squeeze zones and breakouts/breakdowns. A squeeze zone is defined when price is below a specific volatility threshold calculated as the difference between a fast- and slow-moving average and filtered using ATR- or Pips-based threshold.
It operates on a single timeframe and includes Loxx's Expanded Source Types, signals, alerts, etc. and 35+ Loxx's Moving Averages. These adaptive, minimal-lag indicators are built upon advanced mathematical and signal processing DSP techniques that far surpass traditional Moving Averages.
This currently published indicator includes the following main developments:
Squeeze Detection using Percentile Rank Method
It detects the Squeeze by applying a Percentile Rank to the historical distance (spread) between the two MAs.
MA Spread: The basis for Squeeze detection is the distance between the two moving averages.
Percentile Rank: A statistical measure that indicates the percentage of past Spread values within the set lookback period that are lower than the current MA Spread.
Squeeze State: A Squeeze occurs when the Percentile Rank is below the set Squeeze Threshold (%)).
Example: If the threshold is 20% and the Rank is 15%, it means the MA Spread is in its tightest 15% range, below the set threshold. Therefore, the condition is currently met.
Goal: Objective volatility measurement that adapts to market conditions.
Squeeze Duration Filter
A key condition for a Breakout signal is that the MAs must have remained in the Squeeze zone for a specified minimum duration.
Goal: To filter out market noise and False Breakouts.
Multi-Timeframe (MTF) Confluence
Multi-Timeframe trend and squeeze monitoring for 3 timeframes (TFs).
Provides confirmation using the MA status from two higher timeframes (TF2, TF3).
Goal: Trend and momentum confirmation from a broader market context.
Signals Only on Bar Close?
By selecting the signalOnClose parameter to enabled, it is possible to avoid repainting on the chart TF. If it is checked, all events on the chart (L/S signals, Squeeze Start/End, MA color change) will only appear after the bar has closed, preventing repainting. Higher TF events remain in real-time.
Goal: To increase the reliability of signals.
Multi-Level Alerts and Info Panel
Comprehensive, confluence-weighted alerts and real-time status display.
Enhanced Alerts based on multi-timeframe confluences. Alerts are ready to enable/disable for Any alert() function call and ready for watchlists. Alert Frequency is also configurable in Inputs window. „Once per bar close” is the most reliable for signals. „Always” or „Once per bar” alert frequencies may generate temporary signal alerts.
Please note that even if "Once per bar close" is selected as alert frequency, this only applies to the chart TF, and TF2 and TF3 status may be modified until the close of the relevant candle.
Goal: Transparent decision-making.
Other Improvements
Unlike the original indicator, the coloring of the MA curves on the chart depends on the relative positions of the fast MA and slow MA. The curves are colored bullish when the fast MA is above the slow MA, bearish when the opposite is true, and neutral in the squeeze zone.
Data Window with Squeeze Start/End, Buy/Sell, Status, Squeeze Percentile etc. on all 3 TFs.
Ready for Pine Screener.
Please be aware that currently only the chart TF is configurable in Pine Screener, TF2 and TF3 are set to their default values.
Pine Script® version 6.
Limitations
When setting the indicator parameters, please take into account the limitations of TradingView. (Lookback period of Percentile Rank and Moving Averages periods, Execution time limit (timeout) etc.)
For example, if a NaN% message appears as the Percentile Rank value, please reduce the lookback period.
How to use it
This indicator is a Breakout-following system, but it can also be the basis for Range Trading.
The Setup Phase
This is the preparation stage. The indicator signals low volatility as the bands tighten.
Squeeze Dynamics: Monitoring the Squeeze Duration is essential. The longer the price spends in the Squeeze zone, the more likely the resulting breakout will be powerful.
The Signal Phase (Breakout)
The Breakout signal appears on the bar where the Percentile Rank first crosses above the Squeeze threshold, indicating a sudden return of volatility.
Further condition: Meets the SqueezeDuration filter.
Breakout direction: Bullish: Fast MA > SLow MA, Bearish: Fast MA < SLow MA
Applying MTF Confluence:
The most promising trades that are in line with higher timeframes:
Total Confluence: Chart TF Signal + TF2 Bullish/Bearish + TF3 Bullish/Bearish. This is the strongest, highest-probability setup.
Simple signal: Only the Chart TF signals. This should be handled with caution, as the higher timeframes (TF2, TF3) might still be in a Squeeze or in a conflicting state.
Alternative Use: Range Trading within the Squeeze Bands
If the market has low volume, the squeeze bands can be used as dynamic support/resistance for bounces off the edges of the range:
The probability of a successful range trade increases if the boundaries of the squeeze zone have only been touched a few times previously. Each touch weakens the zone boundaries and increases the chance of a Breakout.
Suggested Tactics and Risk Management
When using Breakout strategies, strict risk management and the use of confirmations are essential:
Volume Confirmation: A strong, above-average volume Breakout candle increases the probability of a successful breakout.
False Breakout: If the breakout occurs on low volume, there is a higher chance of a pullback and a False Breakout.
Entry After Retest: A safer entry: wait until the price breaks out, but only enter if it returns to the squeeze zone and bounces back from there. This reduces the risk of a False Breakout trap.
The Risk of False Breakout:
False Breakouts are part of any Breakout strategy. Always have a strict Stop Loss set.
Reversal: Be prepared for the possibility that after a Breakout signal (e.g., Long), the price returns to the zone and then breaks out in the opposite (Short) direction.
Please note that all technical analysis and trading signals only indicate probabilities. Always use your own risk management rules and follow market regulations.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice.
Trading involves substantial risk of loss and is not suitable for every investor. Past performance shown in examples is not indicative of future results.
The indicator provides signals and calculations, but trading decisions are solely your responsibility. Always:
Test strategies on paper before using real money
Never risk more than you can afford to lose
Understand that all trading involves risk
Consider seeking advice from a licensed financial advisor
The publisher makes no guarantees regarding accuracy, profitability, or performance. Use at your own risk.
Multi-Anchor VWAP | Trade Symmetry🧩 Multi-Anchor VWAP
Description:
Dynamic VWAP anchored to Session, Week, Month, Quarter, and Year — all in one view.
Full Description:
This indicator plots multiple VWAPs (Volume-Weighted Average Prices) simultaneously — each anchored to a different time period:
Session, Week, Month, Quarter, and Year.
💡 Ideal for traders who track institutional mean reversion and liquidity zones across multiple timeframes.
Features
✅ Session, Weekly, Monthly, Quarterly, and Yearly Anchored VWAPs
✅ Independent color and visibility controls for each anchor
✅ Adjustable label position and size
✅ Option to hide VWAPs on Daily or higher charts
✅ Clean and efficient performance
This tool helps you visualize volume-weighted mean levels where price often reacts — offering a clear map of bias and equilibrium across all major time horizons.
Block-Based Trend Breakout (UTB/DTB) & S/R ZonesThis indicator is designed to detect potential trend reversals or volatility bursts by analyzing price action structured into "blocks." Its primary goal is to capture the earliest signals that a defined trend structure is weakening or breaking.
Signal Generation:
🟢 DTB (Downtrend Breakout): When a confirmed downtrend is identified (e.g., price has been falling for 2 blocks), the indicator waits for the price to break above the highest high of the last completed block in that trend. When this break occurs, it signals a potential bullish reversal with a green DTB triangle below the bar.
🔴 UTB (Uptrend Breakdown): When a confirmed uptrend is identified (e.g., price has been rising for 2 blocks), the indicator waits for the price to break below the lowest low of the last completed block. When this break occurs, it signals a potential bearish reversal with a red UTB triangle above the bar.
🛠️ Key Settings
Block Size (bars): The number of bars in each block used to analyze the trend structure. Lower values track short-term trends; higher values track long-term trends.
Trend Confirmation (steps): The minimum number of consecutive blocks required to "confirm" a trend.
Tolerance: Allowed Off-Trend Steps: The number of "noise" blocks allowed while confirming a trend.
Show Support/Resistance Zones: Toggles the histogram-based S/R zones on or off.
S/R Lookback (blocks): Determines how many blocks to look back for calculating S/R zones.
S/R Zone Width (in ATR): Sets the thickness of the S/R zones, denominated in ATRs.
If you find this useful please reach out and let me know how you use it as it's fairly unique... and thus different than anything I've ever seen or used.
PipGuard Magic BoxPipGuard Magic Box – Multi-Timeframe EMA Regime Analyzer
Indicator published by PipGuard.
PipGuard Magic Box is a complete dashboard for market regime analysis, built on a Multi-Timeframe architecture.
This script goes beyond a simple crossover: it blends the power of the classic EMA(50) and EMA(200) with a dynamic "Warmap" and a compact MTF table , offering an immediate glance at trend coherence.
It identifies the dominant trend , filters noise, and prints "Buy" / "Sell" signals only on confirmed crossovers .
How it works: The Logic
• Core Logic (Regime):
The regime (Bullish or Bearish) is defined by the position of the EMA(50) relative to the EMA(200). The indicator waits for the candle close to validate the signal.
• Warmap (Momentum):
The colored area between the two EMAs is not static. It dynamically adapts to momentum, providing an immediate visual read on the trend's strength and direction.
• MTF Table (Coherence):
The panel summarizes the regime status across seven key timeframes (Current, 24h, 4h, 1h, 15m, 5m, 1m). This allows for a quick assessment of whether higher timeframes are aligned with the current one.
• Confirmation Signals:
"Buy" and "Sell" labels appear exclusively on confirmed crossovers . This approach prevents false signals generated by intra-bar noise and improves operational clarity.
How to Use
1. Add the script to your chart.
2. Observe the EMA 50/200 crossover and the Warmap to identify the dominant regime.
3. Check the MTF Table to verify directional coherence across different timeframes.
4. Set up Alerts to receive automatic notifications (push or sound) at the exact moment a crossover (bullish or bearish) is confirmed. Never miss a regime change again .
5. Use the "Buy" / "Sell" signals as confirmation tools to integrate into your risk management strategy.
EXAMPLE OF USE
EXAMPLE OF USE
Settings
• `EMA 50 / EMA 200 Length` → Adjusts the regime's sensitivity and responsiveness.
• `Table Text Color` → Adapts the table's text readability for light or dark backgrounds.
• Custom Alerts: Fully configurable for notifications on Bullish (💚) and Bearish (❤️🔥) crossovers.
• All visual parameters are pre-configured to ensure visual consistency and maximum clarity.
Limitations
• EMAs are lagging indicators. They are designed to confirm a regime change, not to anticipate it.
• The MTF table data updates at the close of the higher timeframe's candle , which may introduce slight update delays.
• Past performance does not guarantee future results .
Access
This script is available only via invite-only access .
To request access, use the link provided in our Signature below this publication.
Note: This script is a technical tool for market analysis. It does not guarantee profits or specific results.
Indicator published by PipGuard.
BMM V2.1 FINAL VERSION ⚙️ Optimized Trading Guide — MWABUFX 15-Minute Intraday Setup
🕒 Recommended Timeframe
✅ 15-Minute Chart (M15) — the most balanced and accurate for MWABUFX.
Why M15 Works Best:
Filters out small, noisy market movements found on 1m–5m charts.
Responds faster than 1H or 4H, perfect for daily profits.
Aligns well with market session volatility (London & New York).
Gives 2–5 high-probability trades per day depending on the pair.
Ideal for traders using PineConnector automation or manual execution.
🧭 How to Trade on 15-Minute
🟢 Buy Setup
EMA 238 is sloping upward and price is above it.
Supertrend flips green — wait for candle to close above the line.
Confirm trend direction on 1H timeframe (optional filter).
Enter trade at the close of the signal candle.
Stop-Loss: below recent swing low.
Take Profits:
TP1 → 1:1
TP2 → 1:2
TP3 → 1:3
Move SL to breakeven after TP1 is hit.
🔴 Sell Setup
EMA 238 is sloping downward and price is below it.
Supertrend flips red — wait for candle to close below the line.
Confirm 1H trend also bearish (optional).
Enter trade at the candle close.
Stop-Loss: above recent swing high.
Take Profits: TP1, TP2, TP3 as above.
🕐 Best Trading Hours (Kenya Time / GMT+3)
Session Time Ideal Pairs Notes
London Session 10:00 AM – 2:00 PM GBPUSD, EURUSD, Gold Cleanest 15-min trends
New York Session 3:30 PM – 7:00 PM US30, NAS100, XAUUSD, GBPUSD Strong volatility, high RR trades
Avoid After 8:30 PM — Market slows down, spreads widen
📌 If you must choose one — trade 15-minute charts during London–New York overlap (3:30 PM – 6:30 PM).
⚖️ Risk & Profit Strategy
Risk only 1–2% of balance per trade.
Focus on 1–3 solid setups per session — no overtrading.
Aim for minimum 1:2 reward-to-risk ratio.
Avoid entries when EMA 238 is flat (ranging market).
💡 Pro Tips
Use “Close of Candle” confirmation — avoid jumping in mid-bar.
Combine with session bias (e.g. buy Gold during bullish NY momentum).
Use alerts through PineConnector to catch trades instantly.
Don’t trade during major red news (NFP, CPI, FOMC).
Journal every trade — review TP/SL behavior to improve timing.
Lord Mathew ATSThe Smart Money Structure & Pattern Analyzer is a complete, all-in-one visual trading system that brings together every essential element of Smart Money Concepts (SMC), ICT methodology, and candlestick psychology into one powerful indicator.
It is designed to help traders instantly understand the market’s structure, liquidity flow, and potential turning points without switching tools or manually marking charts. Whether you trade forex, indices, crypto, or commodities, this indicator automatically identifies where institutional activity, imbalances, and price inefficiencies occur in real time.
With its advanced algorithm, it plots market structure shifts, equal highs and lows, liquidity zones, order blocks, fair value gaps (FVGs), and previous week and day levels (PWO, PWH, PWL, PWC, PDO, PDH, PDL, PDO). It also integrates a deep candlestick recognition engine that detects over ten classic and advanced candle formations including engulfing patterns, dojis, hammers, shooting stars, morning/evening stars, and spinning tops to provide precise confirmation at critical points of interest.
This indicator isn’t just a tool it’s a complete market map that helps traders visualize how institutional order flow and candlestick sentiment interact.
Core Features
📊 Market Structure Detection:
Automatically marks swing highs/lows, Break of Structure (BOS), and Change of Character (CHOCH) in real time.
💧 Liquidity Mapping:
Highlights equal highs/lows and liquidity grabs, showing where price is likely to target before a reversal or continuation.
🧱 Order Block Visualization:
Displays the last bullish or bearish candle before an impulsive displacement, acting as a potential institutional entry zone.
⚡ Fair Value Gap (FVG) Scanner:
Detects and highlights imbalances where price moved too fast, helping you identify high-probability retracement areas.
🕯️ Candlestick Pattern Recognition:
Recognizes key reversal and continuation patterns (engulfing, hammer, shooting star, doji, morning/evening star, etc.) in real time.
📅 Institutional Reference Points:
Plots previous week & day open (PWO, PDO), previous week & day high (PWH, PWH), previous week & day low (PWL, PDL), previous week & day close (PWC, PDC) and optionally previous day levels to help frame bias.
🎨 Customizable Design:
Toggle any feature, change colors, and set alerts when multiple Smart Money signals align for cleaner, faster decision-making.
How It Works
Add the indicator to your chart on any timeframe or market.
The algorithm automatically detects structure, liquidity, and imbalance zones.
Candlestick patterns are highlighted when they form near high-probability areas (like OBs or FVGs).
When confluence occurs such as a liquidity grab, FVG fill, and bullish engulfing candle—the indicator provides a visual signal zone for your confirmation-based entries.
You can refine your trades using higher-timeframe bias (HTF order flow) and lower-timeframe execution (LTF confirmation).
Best For
Traders using ICT, Smart Money Concepts, or price-action systems.
Intraday and swing traders looking for clear, data-driven chart structure.
Traders who want to simplify confluence analysis and focus on precision execution.
Why It Stands Out
Unlike standard candlestick or pattern scanners, this indicator merges institutional market logic with technical candle behavior, allowing traders to see where smart money might be entering or exiting positions.
It’s not about random signals it’s about context, structure, and confirmation.
Every feature in this indicator is built around the principle of liquidity engineering:
price creates liquidity, grabs it, and moves toward imbalance or order flow efficiency.
By merging that institutional logic with candlestick patterns, this tool gives traders an edge in recognizing not only where to trade but why price is reacting in that exact area.
Disclaimer
This indicator is intended for educational and analytical use. It does not provide financial advice or guaranteed trading results. Always backtest and manage your risk responsibly.
AlKa mtF timElinEDisplays a timeline marking higher time frame bar opening locations. Reads a countdown (in current time-frame bars) to next higher time frame bar open.
