V3 Multi-MA MTF Full (by RUG)This Multiple Moving Averages (MA) indicator lets you plot and compare several moving averages on the same chart to quickly read trend direction and momentum. You can configure up to 10 MAs, choosing each one’s type (for example, SMA or EMA), length (periods), and—most importantly—its own independent timeframe (for instance, a 9-period EMA on the daily timeframe while you’re viewing a 15-minute chart). This creates a clean “context layer” that blends short-, mid-, and long-term trends, helping you spot trend alignment, dynamic support/resistance zones, and key crossovers without constantly switching timeframes.
Indicadores e estratégias
SilverHawk Flip Confirm (4-Step)This premium indicator identifies high-probability trend flips using a 4-step confirmation sequence (Sweep → Displacement → BOS → Retest/Hold) with zone-based filters.
Core logic & how it works:
- Step 1 (Sweep): price wicks through a recent Supply/Demand area or Order Block (ATR-buffered)
- Step 2 (Displacement): strong candle body (ATR size + min body %) after sweep
- Step 3 (BOS): price breaks previous swing high/low
- Step 4 (Retest + Hold): price retests the entry zone (OB or S&D area) without breaking opposite side
- Zone modes: Hybrid (S&D area + OB entry), Supply/Demand only, or Order Block only
- Non-repainting option (confirmed bars only)
- Timeout: max bars between steps to avoid stale setups
Features:
- Visual zones (boxes) for S&D areas & OBs (toggleable)
- Step labels (Sweep/Disp/BOS/Retest) on signal candles
- Small panel with current steps, confidence %, and perfect sequence reminder
- Alerts for full flip confirmation + individual steps
- Customizable zone padding, pivot lengths, ATR buffers
Settings:
- Zone Mode: Hybrid, Supply & Demand only, Order Block only
- Use Confirmed Bars Only: non-repainting toggle
- Max Bars Between Steps: timeout for sequence
- Pivot lengths for S&D and BOS
- ATR multipliers for sweep buffer, displacement, padding, retest tolerance
- Visuals: show zones/labels/panel
- Alerts: enable/disable full flip + step triggers
Best used on H1–D4 timeframes in Forex or indices for spotting trend reversals or continuations after liquidity sweeps. Combine with higher-timeframe structure and risk management.
Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
SilverHawk Scenario Matrix ProThis premium indicator scans historical price patterns and projects forward-looking scenarios based on similarity to past analogs.
Core calculation & how it works:
- Current window (length L) normalized for shape, volatility, RVOL, trend slope, structure
- Scans up to 2000 bars back (configurable) to find top K most similar past windows
- Weights similarity across shape correlation, vol regime, RVOL regime, trend slope, structure
- Projects forward H bars using the matched historical paths → computes P10 (low), P50 (median), P90 (high) quantiles
- Smooths projections (configurable %) to reduce noise
- Calculates metrics: match quality (MatchQ), uncertainty %, confidence, regime, gate pass/fail, quality rating (A/B/WAIT)
Features:
- Visual projection lines (P10 red, P50 white, P90 green) with endpoint labels
- Decision table: bias, confidence, MatchQ, uncertainty, regime, gate, strength, volume, near HTF, expected range
- Optional smoothing on projections (0–100%)
- Update modes: Locked (fixed on signal), On Close, Live
- Alerts on new high-quality scenarios (optional)
Settings:
- Pattern length L & projection horizon H
- History bars to scan & min gap from present
- Top K matches to consider
- Similarity weights (shape, vol, RVOL, trend, structure)
- Regime thresholds & normalizers
- Decision thresholds (MatchQ, confidence, uncertainty, bias)
- Display: location, manual panel, smoothing %, update mode
- Projection plot: show lines, colors, style
Best used on H1–D1 timeframes in Forex or indices for forward-looking pattern-based forecasting and scenario planning. Combine with structure, volume confirmation and risk management.
Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
SilverHawk HTF Alignment Panel ProThis premium dashboard displays multi-timeframe trend alignment, confidence score, regime, and risk assessment in a single, easy-to-read panel.
Core calculation & how it works:
- Trend direction: user-selectable engine (EMA cross, price vs EMA, Supertrend)
- Strength %: EMA spread relative to historical max
- Volume %: current RVOL vs average
- Volatility %: current ATR vs historical max
- Momentum %: RSI(14)
- Confidence %: weighted blend of strength, volume, volatility, momentum
- Regime: expansion (high vola + strength), compression (low vola + strength), normal
- Alignment %: agreement between chart TF trend + 2 higher TFs
- Gate: pass if at least 2 TFs align
- Risk Load: ATR relative to distance from slow EMA
- Quality (A/B/WAIT): final score based on confidence, alignment, risk, regime
Features:
- Color-coded table (bullish green, bearish red, neutral gray)
- Customizable location (top/bottom left/right)
- Optional info column explaining each metric
- Optional manual reference panel
- High-performance rendering (fixed rows/columns)
Settings:
- Dashboard Location: top-left/right, bottom-left/right
- Trend Engine: EMA Cross, Price vs EMA, Supertrend
- EMA lengths, Supertrend period/factor
- Lookbacks for strength, volume, volatility
- Weights for confidence calculation
- Style: header/row colors, text color, border
- Extras: show manual panel, show info column
Best used on H1–D1 timeframes in Forex or indices for quick multi-timeframe assessment and decision support. Combine with structure, volume confirmation and risk management.
Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
cephxs / Precision Swing Points [Pro+]PRECISION SWING POINTS (PSP)
Spot institutional repositioning through divergence between correlated assets on the closing direction of the candle.
THE CONCEPT
Markets don't move in isolation. When ES makes a new high but NQ doesn't follow—that's SMT divergence. When Euro rallies but Pound fails to rally too—that's SMT divergence. These moments reveal where institutions are repositioning.
But a Precision Swing Point (PSP) is simpler: a swing pivot where correlated assets diverge by closing direction .
Example: When ES closes bullish but NQ closes bearish—that's a PSP/PC (Price Candle divergence).
This indicator detects these closing direction divergences automatically and marks them on your chart. No complex setups, no manual asset pairing—just clean signals where it matters.
Conceptual Credits to TraderDaye
TWO MODES
PSP Mode: Only marks swing pivots (highs/lows) that have closing direction divergence. This is the precision filter—fewer signals, higher quality.
PC Mode: Marks every candle where closing direction divergence exists. Use this to see all divergence activity, not just at pivots.
Start with PSP mode. Switch to PC mode when you want the full picture.
HOW IT WORKS
The indicator compares your chart against up to two correlated assets:
Fetches OHLC data for correlated assets
Determines if each asset's candle closed bullish or bearish
Flags divergence when one asset closes opposite another
In PSP mode, only highlights when divergence coincides with a swing pivot
Three divergence relationships are tracked:
Primary vs Secondary (e.g., ES vs NQ)
Primary vs Tertiary (e.g., ES vs YM)
Secondary vs Tertiary (e.g., NQ vs YM)
Any divergence triggers a signal.
AUTO ASSET DETECTION
In Auto mode, the indicator uses the AssetCorrelationUtils library to detect your chart's asset class and automatically select correlated pairs:
Index Futures: NQ ↔ ES ↔ YM, RTY ↔ NQ ↔ ES (+ micro variants)
Index CFD: NAS100 ↔ SP500 ↔ DJ30
Forex Futures: 6E ↔ 6B ↔ DXY (inverted)
Forex CFD: EURUSD ↔ GBPUSD ↔ DXY (inverted), USDJPY ↔ USDCHF ↔ DXY
Metal Futures: GC ↔ Copper ↔ Silver (+ micro variants)
Metal CFD: XAUUSD ↔ Copper ↔ XAGUSD
Energy Futures: CL ↔ RB ↔ HO (Crude ↔ Gasoline ↔ Heating Oil)
Treasury Futures: ZB ↔ ZF ↔ ZN (30Y ↔ 5Y ↔ 10Y)
Crypto: BTC ↔ ETH ↔ TOTAL3
EU Stocks: GER40 ↔ EU50 (dyad)
No configuration required—just add to chart and go.
HOW TO USE
Add to chart: Auto mode detects correlated assets automatically
Watch for circles: Bullish PSP = circle below bar. Bearish PSP = circle above bar.
Note the context: PSPs at key levels (PDH, PDL, weekly open) carry more weight
Confirm on LTF: Use PSPs as directional bias, enter on lower timeframe structure
Layer with other tools: PSP + sweep + FVG = high-probability setup
INPUTS
PSP Settings
Mode: PSP (swing pivots only) or PC (all divergence candles)
Precise Mode: Only highlight pivots on current asset (stricter confirmation)
Display Settings
Bullish/Bearish Shapes: Toggle and color the divergence markers
Color Candle Bodies: Highlight the actual candle, not just add a shape
Asset Selection
Correlation Preset: Off, Auto (library-detected), or Manual
Manual Assets 1/2/3: Specify custom correlated assets
Invert Asset 3: Flip bullish/bearish for inverse correlations (e.g., DXY)
Alerts
Bullish PSP Alert: Notify on bullish divergence pivots
Bearish PSP Alert: Notify on bearish divergence pivots
TPD Alert: Notify on any Terminus Price Divergence
KEY FEATURES
Auto Asset Detection: No manual setup—library handles correlation pairing
Dynamic Reordering: When you switch charts, assets reorder so chart is always primary
Inverse Correlation Support: Properly handles DXY and other inversely correlated assets
Two Modes: PSP for precision, PC for full divergence visibility
Precise Mode: Stricter filtering—only pivots on your chart, not correlated assets
Built-in Alerts: Get notified when PSPs form
BEST PRACTICES
Use PSP mode for trading signals, PC mode for market context
PSPs at session opens, previous day levels, or weekly boundaries = stronger signals
Multiple PSPs in same direction = building momentum
A failed PSP (price continues through) often becomes a runner—don't chase
Trust the Auto mode pairing—it's tuned for common institutional correlations
DISCLAIMER
This indicator is for educational purposes only and does not constitute financial advice. Divergences do not guarantee reversals—always use proper risk management and confirm with your own analysis. Past performance does not guarantee future results.
CREDITS
Developed by cephxs. Uses the AssetCorrelationUtils library by fstarcapital for auto asset detection.
Made with ❤️ by cephxs
This is a reupload to comply with emoji rules. Former script was hidden because of emojis in the title.
First Upload was around May on another account that got banned
Second Upload was Last Year on this account - Oct 17, 2025, got hidden for violating emoji rules.
This is the third Upload, and as usual, it comes with improvements. Never a step backwards.
SilverHawk Market Decision Panel ProThis premium dashboard aggregates multiple market metrics into a single, easy-to-read panel to help make faster trading decisions.
Core calculation & concepts:
- Trend direction: EMA cross, price vs EMA, or Supertrend (user-selectable)
- Strength/Confidence %: weighted blend of trend force (EMA spread vs max), volume (RVOL vs avg), volatility (ATR vs max), momentum (RSI)
- Regime detection: expansion (high vola + strength), compression (low vola + strength), normal
- Risk Load: ATR relative to distance from EMA (lower = better entry)
- Quality rating (A/B/C): final score based on confidence, alignment, risk, regime
Features:
- Clean table layout (customizable location: top-left/right, bottom-left/right)
- Color-coded status (bullish/green, bearish/red, neutral/gray)
- Optional info column explaining each metric
- Optional manual reference panel
- High-performance (fixed rows/columns, no excessive objects)
Settings:
- Dashboard Location: top-left/right, bottom-left/right
- Trend Engine: EMA Cross, Price vs EMA, Supertrend
- EMA lengths, Supertrend period/factor
- Lookbacks for strength, volume, volatility
- Weights for confidence calculation (adjustable)
- Style: header/row colors, text color, border
- Extras: show manual panel, show info column
Best used on H1–D1 timeframes in Forex or indices for quick market assessment and decision support. Combine with structure, volume confirmation and risk management.
Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
Confirmation Candle (BUY Always Above EMA)- How to interpret signals
Only react to BUY labels, not CONF by itself.
CONF is just a “possible setup starting.”
X means “setup invalidated — ignore it.”
BUY means “setup passed all filters.”
- Suggested manual trade usage (if you’re trading it)
Entry idea: enter at close of BUY candle or next candle open
Risk management: you decide (this is an indicator, not a strategy)
Common choices: below the CONF candle low, ATR stop, or below EMA
K MOB strategy, volatile script This uses Kevin Micheal O'brien's script from his book. "Breakthrough: A Consistent Daily Options Trading Strategy For Volatile Stocks"
ET Boxes @RukinRomanDraws Fibonacci boxes.
Takes into account the time you specify, the drawing will be based on that.
Color and display of the boxes are configured separately.
ATR+Highest high&lowest low stop loss 5.0ATR+Highest high&lowest low stop loss 5.0ATR+Highest high&lowest low stop loss 5.0ATR+Highest high&lowest low stop loss 5.0ATR+Highest high&lowest low stop loss 5.0ATR+Highest high&lowest low stop loss 5.0
FlowMap / Flowly IndicatorsIntroducing FlowMap
FlowMap is built to be minimal, yet a powerful tool for navigating orderflow with all key concepts baked into one.
Concepts
💧 Liquidity Heatmap
🌀 Internal Flow
🔅 Value Area & POC
🔥 Liquidations
On top of the concepts themselves, FlowMap supports a wide range of features for backtesting orderflow events as well as automating workflows using alerts and scanning with PineScreener.
Features
🧪 Signal builder
📊 Backtesting & Analytics
🔔 Custom alerts
📡 Custom scans
FlowMap can be used on all timeframes and charts available on TradingView. FlowMap differs from traditional orderflow tools by detecting key orderflow events algorithmically using price and volume, rather than using direct exchange trade feed. This approach comes with its own unique advantages and disadvantages, which are discussed further ahead.
For getting access to FlowMap, see "Author's instructions" section. Please review "Limitations & considerations" also.
Let’s go over in detail all the concepts, key features and how to use FlowMap in practical ways.
💧 Liquidity Heatmap
Before jumping into the heatmap itself, let's first go over what liquidity is. Liquidity refers to buy and sell orders placed in an orderbook at various price levels. Depth of liquidity refers to how many buy and sell orders are clustered around various price levels.
Deep liquidity
Buy/sell orders that are clustered around narrow area in price
-> Price struggles to move to higher/lower prices, hard passage
Thin liquidity
Buy/sell orders that are spread out across a larger area
-> Price doesn't struggle to move to higher/lower prices, easy passage
As every buy order needs a seller and every sell order needs a buyer, price naturally finds resistance at deep liquidity where resting limit orders are overwhelming incoming market orders. Here’s a ballpark illustration of how price can be expected to react at deep vs. thin liquidity.
FlowMap is built to detect only deep liquidity where price is likely to find resistance. Deep liquidity is detected using specific type of turns in price that signal an underlying liquidity pool, responsible for the turn.
When a liquidity pool is detected, FlowMap estimates its depth using volume traded at the pool. The larger the estimated liquidity pool, the larger the line and brighter the color. Deep liquidity can also be gauged by looking for multiple overlapping lines.
Liquidity pool manipulation
FlowMap also highlights events where a liquidity pool is exceeded and price closes back in, referred to as manipulation. The idea behind manipulation is to identify extremes where traders have sold or bought into overwhelming limit orders set by larger players, leaving the participating traders as exit liquidity.
When market psychology starts to play out, these traders are compelled to cover their losses, further fueling a reversal.
🌀 Internal Flow
Internal Flow displays unusual volume activity taking place inside a candle, highlighted in a heatmap style - brighter color corresponding to higher volume. In simple terms, Internal Flow shows an X-ray view of activity inside candles, revealing high value orders and key flows.
How Internal Flow is calculated
Internal Flow is calculated using lower timeframe price moves and the volume associated with them. For example, on 1H chart FlowMap goes over 60x1 minute price moves inside the candle, assesses their volume and visualizes unusual activity. FlowMap automatically chooses an appropriate lower timeframe that maintains same level of accuracy across all charts and timeframes.
🔅 Value Area & POC
Sometimes a candle does not have high value orders or extreme activity, but it is regardless useful to know where most volume and highest volume was traded. Value Area displays area in each candle where 70% (customizable) of the volume was traded, visualized using a blue box. Point of Control (POC), displays point in price where highest amount of volume was traded, visualized using a black horizontal line.
How Value Area & POC are calculated
Like with Internal Flow, Value Area and POC are also calculated using lower timeframe price moves. Using same 1H chart example, FlowMap goes over 60x1 minute price moves inside the candle to calculate range where 70% of all volume was traded (Value Area).
Point of control (POC) is defined as closing price of the lower timeframe candle where largest volume occurred. Value area is then calculated starting from this point, progressively calculating an area to the upside and downside, until the area captures 70% of all trading volume.
🔥 Liquidations
Liquidations are detected by a complex algorithm that uses volume and price anomalies to identify events where traders were forcefully liquidated. In simple terms, liquidations signify traders who have suffered significant losses and pain, leaving price exhausted and creating a window of opportunity for a reversal/halt in price. Size of the bubbles indicate estimated amount of realized liquidations. The bigger the bubble, the more liquidations.
🧪 Signal builder
Signal builder can be used to build custom orderflow based signals using any single event or combining multiple. Once signal is defined and built, it can be used for backtesting, creating alerts and market scans.
The following events are available for creating a signal:
- Liquidations
- Liquidity pool sweeps
- Liquidity pool confirmed
- Manipulation
Signals can be previewed on chart visually, showing where they have historically triggered. Preview mode also shows backtest metrics for each signal.
📊 Backtest & Analytics
Once conditions are defined using Signal builder, FlowMap detects each occurrence of the signal and measures its performance using price and volume metrics, shown on the right side table.
1. Amount of signals
Amount of signals shows how many times the custom signal has occurred through the chart’s history.
2. Volume test
Volume test refers to how much volume traded at signal is above/below average volume. This concept is also known as relative volume, comparing current volume traded to a historical average (average of 20 historical candles).
Example: When volume gain is +30%, volume traded at signal is typically 30% higher than average. Volume test allows us to validate and measure liquidity depth typically found when signal fires.
3. Highs/lows hold test
Highs/lows hold test measures likelihood of price staying above signal low price (bullish impact test) and staying below signal high price (bearish impact test). This test is measured for 3 candles after signal confirmation, giving us an idea of resistance in price.
Example: Highs hold score of 66% indicates two out of three candles after a signal stay below signal high price, indicating price at least stops trending up most of the time.
4. Max. run test
Max. run test measures maximum price increase (bullish impact test) and decrease (bearish impact test) after a confirmed signal, expressed in percentage change. Max. run is calculated by measuring highest/lowest price within 3 candles after a signal, compared to signal closing price. This test gives an idea for typical reversal magnitude.
Example: Max. run up score of +1.2% indicates that a signal typically leads to 1.2% upside move.
Together, FlowMap's backtesting can be used to form evidence based trade thesis/ideas and get a sense for what is reasonable to expect from various orderflow events. The backtest results will always vary from chart to chart and conditions selected for a signal, which is good to keep in mind. Users should also note that the metrics are guidelines, historical performance does not guarantee future results .
🔔 Creating alerts
Custom signals can also be used for alerts. Once we have defined the conditions for the signal we wish to get notified on, we can enable an alert for it using TradingView's alert menu.
📡 Creating scans
In the same way, custom signals can be used for market scans using PineScreener. PineScreener allows scanning custom watchlists for signals using any indicator, including FlowMap.
Head to PineScreener and select FlowMap under Indicators to prepare for a scan.
Scroll down in FlowMap's settings menu to find all available events. In this example, we're scanning for downside liquidations. Once we have selected downside liquidation from the events, let's click "Apply" to save the changes.
To scan the selected watchlist of charts, set “Custom signal” to “True”. Then just click “Scan”. PineScreener will begin to look for charts where downside liquidation has recently occurred, shown as a list of symbols where signal was found. We can see that PineScreener found a downside liquidation on MSFT (Microsoft).
We can then hop over to TradingView and open up Microsoft's chart to confirm a downside liquidation is indeed there.
❓ Limitations and considerations
FlowMap is based on algorithmic orderflow, which significantly differs from orderbook based orderflow. That being said, FlowMap has some unique advantages and disadvantages that users should be aware of.
1. Advantages vs. disadvantages
✅ Reduced noise, clearer read on orderflow
✅ Can be validated using backtesting
✅ Can be used for alerts and market scans
❌ Some orderflow events have a slight delay (see below)
❌ Not based on volume tick data
2. Confirmation times
Due to the nature of algorithmic orderflow, some events are not detected in real-time. The algorithm powering FlowMap is designed to be at a sweet spot for less noise/more accurate indications without sacrificing reasonable confirmation times.
Liquidity pool sweep : ⚡️ Real-time, no delays
Liquidity pool sweeps are detected real-time, drawn as they develop without delays.
Value area & POC : ⚡️ Real-time, no delays
Value area & POC are calculated real-time, drawn as they develop without delays.
Internal Flow : ⚡️ Real-time, no delays
High value trades shown by Internal Flow are real-time, drawn as they develop without delays.
Liquidations : ⏱️ On candle close
Liquidation conditions are checked on candle close, after which they are considered confirmed.
Manipulation : ⏱️ On candle close
Manipulation pattern confirms once price has closed back inside exceeded liquidity pool.
Liquidity pool confirmation : ⏱️ 2-3 candle delay
Liquidity pools are confirmed on average in 2-3 candles after a qualifying turn in price.
3. TradingView related limitations
While FlowMap can be used on free plans, due to TradingView related restrictions some functionality are available only for users with a paid plan.
Internal Flow and Value Area & POC on 1 minute charts
Internal Flow and Value Area & POC can be used on 1 minute timeframe only if you have a Premium plan or above (as of writing this guide).
This is due to TradingView restricting seconds based timeframes only for these plans, which FlowMap uses on 1 minute charts.
Market scans
Market scans using PineScreener are only available if you have a Premium plan or above (as of writing this guide).
All other functionality of FlowMap works the same way for free plans.
💡 How to use FlowMap
FlowMap is a simple, yet a powerful tool allowing one to see inside charts and identify when the flows are favorable. Let's cover a few practical ways on how to take advantage of FlowMap.
Identify absorption/trapped traders
Absorption refers to an event where price forms a reversal shaped candle pattern, while high amount of volume is traded at the wick.
The idea behind absorption is that price found liquidity to which traders bought/sold into with high effort, but reaped little reward. Absorption can be interpreted as a sign of deep and impactful liquidity, potentially causing a halt/reversal in price.
Absorption can be seen using Internal Flow by looking for high value trades in wicks. Ideal point of confluence for absorption is a preceding parabola-type trend, increasing likelihood of exhaustion.
Although the high value trades at wick imply greater absorption (therefore more likely exhaustion/price impact), absorption can also be spotted using just Value Area and POC at wick as well.
Identify trend initiation
Internal Flow, Value Area and POC are also useful for gauging when large players are initiating new moves. Uptrend initiations can be seen from large amount of flows at candle high, downtrend initiations at candle low.
Unlike with absorption, ideal point of confluence for trend initiations is a preceding low volatility/stable period of price action.
Identify rekt traders
While absorption often coincides with forced liquidations, another simple and straightforward way to detect such instances on FlowMap is liquidation bubbles and manipulation patterns.
Liquidations indicate when traders are forcefully liquidated and price moves away from them, creating ideal conditions for a halt/turn in price.
Although less frequent, manipulations are also apt indications for detecting pain. Buyers and sellers that are trapped into liquidity pool sweep create ideal conditions for long and short squeezes.
Detecting key levels
Liquidity pools on FlowMap can be used to anticipate key levels where price is likely to find liquidity, resulting in resistance.
📃 Disclaimer
FlowMap does not provide a standalone trading strategy or financial advice. It also does not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Hypothetical or simulated performance does not represent actual trading and past results do not guarantee future performance.
For getting access to FlowMap, see "Author's instructions" section.
XAUUSD: Ultimate Sniper v6.0 [Order Flow & Macro]This indicator is a comprehensive trading system designed specifically for XAUUSD (Gold). It moves away from lagging indicators by combining real-time Macro-Economic sentiment, Regression Analysis, and Institutional Order Flow logic into a single professional interface.
### Core Strategy & Features: 1. Macro Correlation Filter: Gold has a strong inverse correlation with the USD (DXY) and Treasury Yields (US10Y). This script monitors them in the background. If DXY/US10Y are Bullish, Gold Buy signals are filtered out to prevent trading against the trend. 2. Linear Regression Channel: Defines the "Fair Value" of price. We only look for reversal trades when price hits the extreme Upper or Lower bands. 3. Order Flow Pressure (New): Analyzes the internal structure of each candle (Wick vs Body). A signal is only confirmed if the "Buying Pressure" or "Selling Pressure" within the candle supports the move (e.g. >50%). 4. RSI Divergence: Automatically spots Bullish and Bearish divergences to identify momentum exhaustion.
### ⚙️ Recommended Settings / Best Practices To get the best results, adjust the settings based on your trading style:
🏎️ SCALPING (1min - 5min Charts) * Goal: Quick entries, smaller targets, higher frequency. * DXY/US10Y Timeframe: Set to "15" or "30" (Reacts faster to macro changes). * Regression Length: 50 or 80 (Adapts to short-term trends). * RSI Length: 9 or 14.
🛡️ INTRADAY (15min - 1h Charts) - * Goal: Balanced trading, capturing the daily range. * DXY/US10Y Timeframe: Set to "60" (1 Hour). * Regression Length: 100 (Standard setting). * RSI Length: 14.
🦅 SWING TRADING (4h - Daily Charts) * Goal: Catching major trend reversals. * DXY/US10Y Timeframe: Set to "240" (4 Hours) or "D" (Daily). * Regression Length: 200 (Long-term trend baseline). * Channel Width: Increase to 2.5 or 3.0.
### How to Trade: - BUY Signal: Valid when the Dashboard shows "BEARISH" DXY/US10Y and the Live Pressure is "BUYERS". - SELL Signal: Valid when the Dashboard shows "BULLISH" DXY/US10Y and the Live Pressure is "SELLERS". - Risk Management: The script automatically calculates ATR-based Stop Loss (SL) and Take Profit (TP) levels.
Impulse Trend Levels [BOSWaves]Impulse Trend Levels - Momentum-Adaptive Trend Detection with Impulse-Driven Confidence Bands
Overview
Impulse Trend Levels is a momentum-aware trend identification system that tracks directional price movement through adaptive confidence bands, where band width dynamically adjusts based on impulse strength and freshness to reflect real-time conviction in the current trend direction.
Instead of relying on fixed moving average crossovers or static band multipliers, trend state, band positioning, and zone thickness are determined through impulse detection patterns, exponential decay modeling, and volatility-normalized momentum measurement.
This creates dynamic trend boundaries that reflect actual momentum intensity rather than arbitrary technical levels - contracting during fresh impulse conditions when trend conviction is high, expanding during impulse decay periods when directional confidence weakens, and incorporating momentum freshness calculations to reveal whether trends are accelerating or deteriorating.
Price is therefore evaluated relative to bands that adapt to momentum state rather than conventional static thresholds.
Conceptual Framework
Impulse Trend Levels is founded on the principle that meaningful trend signals emerge when price momentum intensity reaches significant thresholds relative to recent volatility rather than when price simply crosses moving averages.
Traditional trend-following methods identify directional changes through price-indicator crossovers, which often ignore the underlying momentum dynamics and conviction levels that sustain those moves. This framework replaces static-threshold logic with impulse-driven band construction informed by actual momentum strength and decay characteristics.
Three core principles guide the design:
Trend direction should be determined by volatility-normalized momentum breaches, not simple price crossovers alone.
Band width must adapt to impulse freshness, reflecting real-time confidence in the current trend.
Momentum decay modeling reveals whether trends are maintaining strength or losing conviction.
This shifts trend analysis from static indicator levels into adaptive, momentum-anchored confidence boundaries.
Theoretical Foundation
The indicator combines exponential moving average smoothing, mean absolute deviation measurement, impulse detection methodology, and exponential decay tracking.
An EMA-based trend baseline provides directional reference, while Mean Absolute Deviation (MAD) offers volatility-normalized scaling for momentum measurement. Impulse detection identifies significant price movements relative to recent volatility, triggering fresh momentum readings that decay exponentially over time. Band multipliers interpolate between tight and wide settings based on calculated impulse freshness.
Four internal systems operate in tandem:
Trend Baseline Engine : Computes EMA-smoothed price levels for directional reference and band anchoring.
Volatility Measurement System : Calculates MAD to provide adaptive scaling that normalizes momentum across varying market conditions.
Impulse Detection Logic : Identifies volatility-normalized price movements exceeding threshold levels, capturing momentum intensity and direction.
Decay-Based Confidence Modeling : Applies exponential decay to impulse readings, converting raw momentum into time-weighted freshness metrics that drive band adaptation.
This design allows trend confidence to reflect actual momentum behavior rather than reacting mechanically to price formations.
How It Works
Impulse Trend Levels evaluates price through a sequence of momentum-aware processes:
Baseline Calculation : EMA smoothing of open and close creates a directional trend reference that filters short-term noise.
Volatility Normalization : MAD calculation over a specified lookback provides dynamic scaling for momentum measurement.
Raw Impulse Detection : Price change over impulse lookback divided by MAD creates volatility-normalized momentum readings.
Threshold-Based Activation : When normalized momentum exceeds threshold (1.0), impulse registers with absolute magnitude and directional sign.
Exponential Decay Application : Between impulse events, stored impulse value decays exponentially via configurable decay rate.
Freshness Conversion : Decaying impulse transforms into freshness metric (0-100%) representing current momentum conviction.
Adaptive Band Construction : Band multiplier interpolates between minimum (fresh) and maximum (stale) settings based on freshness, then scales MAD to determine band width.
Trend State Logic : Price crossing above upper band triggers bullish state; crossing below lower band triggers bearish state; state persists until opposite breach.
Signal Generation : Trend state switches from bearish to bullish produce buy signals; bullish to bearish switches produce sell signals.
Retest Identification : Price touching inner band edge after signal buffer period marks retests, with cooldown periods preventing excessive plotting.
Together, these elements form a continuously updating trend framework anchored in momentum reality.
Interpretation
Impulse Trend Levels should be interpreted as momentum-anchored trend confidence boundaries:
Bullish Trend State (Cyan) : Established when price closes above adaptive upper band, indicating upward momentum breach with associated confidence level.
Bearish Trend State (Magenta) : Established when price closes below adaptive lower band, signaling downward momentum breach with directional conviction.
Trend Cloud : Visual gradient zone displays between outer and inner band edges, with opacity reflecting current trend state and confidence.
Band Width Dynamics : Tighter bands indicate fresh impulse (high confidence), wider bands indicate impulse decay (reduced confidence).
▲ Buy Signals : Green upward triangles mark bullish trend state initiations at crossovers above upper band.
▼ Sell Signals : Red downward triangles mark bearish trend state initiations at crossovers below lower band.
✦ Retest Markers : Small diamonds identify price retouching inner band edge after sufficient buffer period from initial signal.
Retest Extension Lines : Horizontal projections from retest points extend forward, marking potential support/resistance levels.
Colored Candles : Optional bar coloring reflects current trend state for immediate visual reference. Note: The original chart candles must be disabled in chart settings for the trend-colored candles to display properly.
Impulse freshness, band width dynamics, and momentum normalization outweigh isolated price movements.
Signal Logic & Visual Cues
Impulse Trend Levels presents two primary interaction signals:
Buy Signal (▲) : Green label appears when trend state switches from bearish to bullish via upper band crossover, suggesting momentum shift to upside.
Sell Signal (▼) : Red label displays when trend state switches from bullish to bearish via lower band crossunder, indicating momentum shift to downside.
Retest detection provides secondary confirmation when price revisits inner band boundaries after signal buffer cooldown expires.
Alert generation covers trend state switches (long/short), retest occurrences, and impulse freshness decay below 50% threshold for systematic monitoring.
Strategy Integration
Impulse Trend Levels fits within momentum-informed and adaptive trend-following approaches:
Momentum-Confirmed Entries : Use band crossovers as high-probability trend initiation points where volatility-normalized momentum exceeded threshold.
Freshness-Based Position Sizing : Scale exposure based on impulse freshness - larger positions during fresh impulse periods, reduced sizing as impulse decays.
Band-Width Risk Management : Expect wider price ranges when bands expand during decay, tighter ranges when bands contract during fresh impulse.
Retest-Based Re-entry : Use inner band retests as lower-risk entry opportunities within established trends after initial signal cooldown.
Cloud-Aligned Directional Bias : Favor trades aligning with current trend state rather than counter-trend positions.
Multi-Timeframe Momentum Confirmation : Apply higher-timeframe impulse trend state to filter lower-timeframe entry precision.
Technical Implementation Details
Core Engine : EMA-based baseline with MAD volatility measurement
Impulse Model : Volatility-normalized momentum detection with directional sign capture
Decay System : Exponential decay application (0.8-0.99 range) with freshness conversion
Band Construction : Linear interpolation between min/max multipliers scaled by MAD
Visualization : Gradient-filled cloud zones with bar coloring and signal labels
Signal Logic : State-switch detection with retest buffer and cooldown mechanisms
Performance Profile : Optimized for real-time execution across all timeframes
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-trend detection for scalping with responsive impulse settings
15 - 60 min : Intraday momentum tracking with balanced decay characteristics
4H - Daily : Swing-level trend identification with sustained impulse persistence
Suggested Baseline Configuration:
Trend Length : 19
Impulse Lookback : 5
Decay Rate : 0.99
MAD Length : 20
Band Min (Fresh) : 1.5
Band Max (Stale) : 1.9
Signal Buffer Period : 10
Show Trend Cloud : Enabled
Color Bars : Enabled (requires disabling original chart candles in chart settings)
Show Buy/Sell Signals : Enabled
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Excessive signal noise : Increase Trend Length to demand smoother baseline crossovers or increase Impulse Lookback for less reactive momentum detection.
Missed momentum shifts : Decrease Impulse Lookback to capture shorter-term momentum changes or reduce Decay Rate to allow faster impulse fade.
Bands too tight/wide : Adjust Band Min and Band Max multipliers to modify confidence zone thickness across freshness spectrum.
Impulse decays too quickly : Increase Decay Rate toward 0.99 to sustain impulse readings longer between fresh events.
Impulse decays too slowly : Decrease Decay Rate toward 0.8 for faster momentum fade and more frequent band expansion.
Unstable volatility scaling : Increase MAD Length to smooth volatility measurement and reduce sensitivity to short-term spikes.
Too many retest markers : Increase retest cooldown period (55 bars hardcoded) or increase Signal Buffer Period to space out signals.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Trending markets with clear momentum phases and directional persistence
Instruments with consistent volatility characteristics where MAD scaling normalizes effectively
Momentum continuation strategies entering on fresh impulse signals
Trend-following approaches benefiting from adaptive confidence measurement
Reduced Effectiveness:
Choppy, range-bound markets with frequent whipsaw crossovers
Extremely low volatility environments where impulse threshold becomes difficult to breach
News-driven or gapped markets with discontinuous momentum patterns
Mean-reversion dominant conditions where momentum breaches quickly reverse
Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement
Integration Guidelines
Confluence : Combine with BOSWaves structure, volume analysis, or traditional trend indicators
Freshness Respect : Trust signals occurring during high impulse freshness periods with contracted bands
Decay Awareness : Reduce position sizing or tighten stops as impulse decays and bands widen
Retest Utilization : Treat inner band retests as continuation confirmation rather than reversal signals
State Discipline : Maintain directional bias aligned with current trend state until opposite band breach occurs
Disclaimer
Impulse Trend Levels is a professional-grade momentum and trend analysis tool. It uses volatility-normalized impulse detection with exponential decay modeling but does not predict future price movements. Results depend on market conditions, volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
StO Price Action - Bank Timings [Demo]Short Summary
- Visualizes market activity intensity based on historical price movement data (Oanda, M5)
- Highlights zones where price moves most frequently across market times
- Lvl 0 marks the highest intensity areas
- Includes experimental projection into future bars
- Supported markets: XAU/USD (Gold), EUR/USD (EU) with Lvl 0 & 1
Demo Restrictions
- Timeframe dropdown selections are limited
- Line style dropdown selections are limited
- Multi-timeframe functionality is removed or restricted
- Alerts are disabled or completely removed
- No code logic runs behind disabled GUI elements
Full Description
Overview
- Shows historical price movement data for some markets (from FX, Futures, Indexes, etc.)
- Identifies time zones with the highest concentration of price activity
- Designed to show when markets are statistically more active
- Supported are three limited marks
Intensity Levels
- Lvl 0 represents the highest concentration of price movement
- Lvl 1 shows strong but slightly reduced activity
- Lvl 2 marks moderate recurring activity
- Lvl 3 highlights lower but still relevant activity zones
- Each level can be enabled or disabled independently
Visualization
- Intensity levels are visualized using colored bars or markers
- Stronger intensity levels use more prominent coloring
- Works across different symbols and markets
Future Bars Projection
- Experimental feature to project intensity into future bars
- Helps anticipate periods of increased market activity
- Projection is time-based (vertical bars), not price-based
- Best suited for timeframes below H1
Future Shift Control
- Allows shifting projected intensity forward or backward in time
- Shift values are defined in hours (sometimes needed)
- Useful for session alignment and market timing
Notes
- Indicator is based on historical statistical aggregation
- No prediction of direction, only activity intensity
- Experimental future projection may vary by market
- Best used as a contextual timing tool
RSI Min/Max Tracker - HD AlgoRSI Min/Max Tracker – HD Algo
RSI Min/Max Tracker is a momentum analysis indicator designed to enhance traditional RSI usage by continuously tracking the lowest and highest RSI values reached over the visible chart history. This provides immediate context on whether the current RSI is relatively extended or compressed compared to prior market behavior.
How it works
Calculates the Relative Strength Index (RSI) using a user-defined length and price source.
Dynamically records the minimum and maximum RSI values observed since the indicator started.
Updates these extremes in real time as new bars form.
Visual elements
RSI Line (Blue): The current RSI value.
Lowest RSI (Red): The historical minimum RSI reached.
Highest RSI (Green): The historical maximum RSI reached.
Reference Levels:
70 – Overbought (dashed red)
50 – Midline (dotted gray)
30 – Oversold (dashed green)
Info Table
A compact table in the top-right corner displays:
Current RSI
Lowest recorded RSI
Highest recorded RSI
Use cases
Identify whether RSI is near historical extremes.
Improve overbought/oversold context beyond fixed 30/70 levels.
Support mean-reversion, momentum, and divergence-based strategies.
Best used for
Intraday and swing traders who want a clearer perspective on RSI behavior relative to recent market conditions, rather than relying solely on static thresholds.
StO Price Action - Bank Timings [Light]Short Summary
- Visualizes market activity intensity based on historical price movement data (Oanda, M5)
- Highlights zones where price moves most frequently across market times
- Lvl 0 marks the highest intensity areas
- Includes experimental projection into future bars
- Supported markets: XAU/USD (Gold), XAG/USD (Silver) EUR/USD (EU), BTC (Bitcoin) with Lvl 0 & 1
Light Restrictions
- Timeframe dropdown selections are limited
- Line style dropdown selections are limited
- Multi-timeframe functionality is removed or restricted
- Alerts are disabled or completely removed
- No code logic runs behind disabled GUI elements
Full Description
Overview
- Shows historical price movement data for some markets (from FX, Futures, Indexes, etc.)
- Identifies time zones with the highest concentration of price activity
- Designed to show when markets are statistically more active
Intensity Levels
- Lvl 0 represents the highest concentration of price movement
- Lvl 1 shows strong but slightly reduced activity
- Lvl 2 marks moderate recurring activity
- Lvl 3 highlights lower but still relevant activity zones
- Each level can be enabled or disabled independently
Visualization
- Intensity levels are visualized using colored bars or markers
- Stronger intensity levels use more prominent coloring
- Works across different symbols and markets
Future Bars Projection
- Experimental feature to project intensity into future bars
- Helps anticipate periods of increased market activity
- Projection is time-based (vertical bars), not price-based
- Best suited for timeframes below H1
Future Shift Control
- Allows shifting projected intensity forward or backward in time
- Shift values are defined in hours (sometimes needed)
- Useful for session alignment and market timing
Notes
- Indicator is based on historical statistical aggregation
- No prediction of direction, only activity intensity
- Experimental future projection may vary by market
- Best used as a contextual timing tool
ATR lowATR Low is an indicator designed to identify potential local market bottoms after an impulsive price decline. It helps highlight moments when selling pressure weakens and the market may be preparing for a bounce or reversal.
ATR Low — это индикатор для поиска потенциальных локальных минимумов рынка после импульсного падения цены. Он помогает увидеть момент, когда давление продаж ослабевает и рынок готов к отскоку или развороту.
RSI Buy Sell Signals (Fixed) TSMRSI Buy–Sell Signals Indicator is a simple and effective momentum-based tool designed for scalping and intraday trading. It uses the Relative Strength Index (RSI) to identify high-probability BUY and SELL opportunities directly on the price chart.
🔹 How It Works
BUY Signal
Triggers when RSI crosses above 30 (oversold recovery) or above 50 (bullish momentum).
SELL Signal
Triggers when RSI crosses below 70 (overbought reversal) or below 50 (bearish momentum).
Signals are non-repainting and appear at candle close.
Multi-TF MA Master (10 MA or EMAs)Tired of adding multiple scripts just to see a few moving averages? This all-in-one tool lets you run up to 10 fully customizable MAs—including SMA, EMA, and independent timeframes like 200W or 150M—within a single indicator.
bosstvs tikole sir + VWAP + EMA21 + SMA50Simple VWAP + SMA Trend with Pivot High/Low
📖 Description
This indicator is designed to identify bullish and bearish market conditions using VWAP, 21 SMA, and 50 SMA, along with Pivot High and Pivot Low lines for structure-based support and resistance.
It helps traders quickly understand trend direction, market bias, and key price levels on any timeframe.
✅ Bullish Conditions
Price is above 21 SMA
Price is above VWAP
🟢 Indicates strong bullish momentum.
❌ Bearish Conditions
Price is below 21 SMA
Price is below 50 SMA
Price is below VWAP
🔴 Indicates strong bearish momentum.
📐 Pivot High / Low
Pivot High lines act as resistance
Pivot Low lines act as support
Helps in identifying breakouts, reversals, and structure
🎯 Best Use
Intraday & Swing trading
Trend confirmation
Support & Resistance mapping
Works well with price action strategies
FxShare - Trend MomentumThis one is just a clean background script. You can use it as an addition to your other indicators or if you just want:
a clean Trend Channel
a calm background
Momentum Strength meter panel.
It is based on our favorite accurate combo ATR, MACD and RSI mix . It has only one outside parameter for channel smoothing - 0-50 range. Use it, break it, improve it..
EMA 1h-4h-1d-ATRThis indicator shows a specific EMA across three timeframes: 1H, 4H, and 1Dm. Additionally, it displays the ATR x 2 with its maximum and minimum values.
