Liquidity Trend Horizon [Pineify]Pineify - Liquidity Trend Horizon
The Liquidity Trend Horizon is a sophisticated trend-following indicator designed to identify potential liquidity sweep zones while providing clear visual trend direction. It combines adaptive volatility bands with smart liquidity detection to help traders spot high-probability reversal points where institutional activity may be occurring.
Key Features
Dynamic trend baseline using WMA and EMA smoothing
ATR-based volatility bands that adapt to market conditions
Automatic liquidity sweep detection with visual alerts
Gradient-filled channels for intuitive trend visualization
Real-time candle coloring based on trend direction
How It Works
The indicator calculates a weighted moving average (WMA) of the closing price, then applies exponential smoothing (EMA) to create a responsive yet stable baseline. This dual-smoothing approach filters out market noise while maintaining sensitivity to genuine trend changes.
Volatility bands are constructed using a 200-period Average True Range (ATR) multiplied by a user-defined factor. This creates dynamic support and resistance zones that automatically widen during volatile periods and contract during consolidation.
How Multiple Indicators Work Together
The synergy between WMA, EMA, and ATR creates a comprehensive trend analysis system:
The WMA provides the initial trend estimation with emphasis on recent price action
The EMA layer adds smoothness to reduce false signals
The ATR bands define probabilistic boundaries where price is likely to find support or resistance
Trading Ideas and Insights
Liquidity sweeps occur when price wicks beyond the volatility bands but closes back within the channel. These events often indicate:
Stop-loss hunting by larger market participants
False breakouts that may lead to reversals
Areas of accumulated liquidity being absorbed
A bullish sweep (wick below lower band, close above) suggests potential buying opportunity. A bearish sweep (wick above upper band, close below) may signal selling pressure.
Unique Aspects
Unlike traditional channel indicators, the Liquidity Trend Horizon specifically identifies sweep events where price temporarily breaks boundaries before reverting. This behavior is commonly associated with institutional order flow and smart money concepts.
How to Use
Observe the baseline color for overall trend direction (cyan for bullish, purple for bearish)
Watch for sweep markers (🚀 BULL / 📉 BEAR) at band extremes
Use background flashes as immediate alerts for sweep events
Consider entries when sweeps align with the prevailing trend direction
Customization
Trend Period - Adjust baseline sensitivity (default: 24)
Channel Width Multiplier - Control band distance from baseline (default: 2.0)
Smoothness - Fine-tune signal responsiveness (default: 5)
Color Settings - Personalize bullish/bearish colors and transparency
Conclusion
The Liquidity Trend Horizon bridges technical analysis with liquidity concepts, offering traders a unique perspective on market structure. By highlighting potential sweep zones within an adaptive trend framework, it helps identify areas where reversals are statistically more likely to occur.
センタリングオシレーター
HOHO Oscillator Squeeze With AGAIG TurnsHOHO OSCILLATOR SQUEEZE WITH AGAIG TURN DETECTION
═════════════════════════════════════════════════════════════
OVERVIEW
This powerful indicator combines three proven trading concepts into one visually stunning, highly accurate momentum and trend analysis tool:
• HOHO (Hump Oscillator) - Multi-timeframe momentum oscillator
• Squeeze Indicator - Bollinger Bands/Keltner Channel volatility compression detector
• AGAIG (As Good As It Gets) Turn Detection - Intelligent price reversal identification
The result is a comprehensive trading system that identifies high-probability entry and exit points with exceptional visual clarity.
═════════════════════════════════════════════════════════════
KEY FEATURES
HOHO OSCILLATOR
The foundation of this indicator is the Hump Oscillator, which creates distinctive wave patterns ("humps") above and below the zero line. These colorful columns provide instant visual feedback on momentum direction and strength:
• Fast oscillator (thin columns) - Responsive to immediate price action
• Slow oscillator (wide columns) - Confirms underlying trend momentum
• Color-coded bars shift from bright (strong momentum) to dark (weakening momentum)
• Fully customizable MA types (EMA/SMA) and lengths
SQUEEZE DETECTION
Integrated Bollinger Band and Keltner Channel analysis identifies volatility compression:
• Yellow zero-line dots signal active squeeze conditions
• Optional yellow background highlights compression zones
• Anticipates explosive breakout moves
• Adjustable BB and KC parameters for different markets and timeframes
AGAIG TURN DETECTION
Intelligent price reversal identification based on the "As Good As It Gets" methodology:
• Automatically identifies significant market turning points
• Adjustable sensitivity via "Turn Detection Length" (lower = more signals, higher = fewer signals)
• Strength filter ensures only quality setups are marked (1-10 scale)
• Eliminates noise and false signals common in traditional pivot indicators
VISUAL SIGNALS
• BUY arrows (green triangles) mark bullish reversal opportunities
• SELL arrows (red triangles) mark bearish reversal opportunities
• Text labels positioned for optimal readability
• All arrows appear at actual turning points with configurable lookback offset
FLEXIBLE CUSTOMIZATION
• Choose between EMA or SMA for all moving average calculations
• Adjustable oscillator lengths for different trading styles
• Configurable turn detection sensitivity
• Optional bar coloring based on Fast or Slow momentum
• Clean, professional visual design
═════════════════════════════════════════════════════════════
HOW TO USE
ENTRY SIGNALS
Look for BUY/SELL arrows combined with:
1. Squeeze conditions (yellow markers) for highest-probability setups
2. Oscillator color confirmation (green for longs, red for shorts)
3. Turn strength that meets your minimum requirements
TREND CONFIRMATION
• Strong green humps = bullish momentum building
• Strong red humps = bearish momentum building
• Oscillator crossing zero = momentum shift
• Color transitions = momentum strengthening or weakening
VOLATILITY ANALYSIS
• Yellow zero-line dots = consolidation/squeeze active
• Expansion after squeeze = high-probability breakout opportunity
• Combine with turn arrows for precise entry timing
PARAMETER TUNING
For scalping/day trading (5m-15m charts):
• Turn Detection Length: 3-5
• Turn Strength: 2-4
For swing trading (1H-4H charts):
• Turn Detection Length: 5-8
• Turn Strength: 3-5
For position trading (Daily charts):
• Turn Detection Length: 8-15
• Turn Strength: 5-7
═════════════════════════════════════════════════════════════
CREDITS & ATTRIBUTION
This indicator builds upon the excellent work of:
• HOHO (Hump Oscillator) - Original concept from ThinkorSwim community
• Squeeze Indicator - Based on TTM Squeeze by John Carter
• AGAIG (As Good As It Gets) - Turn detection methodology by NPR21
Converted and enhanced for TradingView with permission from the trading community.
═════════════════════════════════════════════════════════════
BEST PRACTICES
✓ Use on liquid markets (major indices, forex pairs, crypto)
✓ Combine with support/resistance levels for confluence
✓ Wait for oscillator color confirmation before entry
✓ Higher turn strength settings = fewer but higher-quality signals
✓ Squeeze breakouts offer exceptional risk/reward opportunities
✓ Practice proper risk management and position sizing
✗ Don't trade every arrow - wait for confluence
✗ Don't ignore the oscillator colors - they show momentum health
✗ Don't use overly sensitive settings in choppy markets
✗ Don't trade counter to the oscillator trend without strong confirmation
═════════════════════════════════════════════════════════════
WHAT MAKES THIS INDICATOR UNIQUE
Unlike standalone momentum oscillators or simple pivot indicators, this tool synthesizes three proven methodologies into a single, coherent visual system. The combination of momentum analysis (HOHO), volatility detection (Squeeze), and intelligent turn identification (AGAIG) provides traders with a comprehensive view of market conditions and high-probability trading opportunities.
The indicator's visual design uses color psychology and positioning to make complex market analysis instantly understandable at a glance - critical for fast-moving markets and quick decision-making.
═════════════════════════════════════════════════════════════
SUITABLE FOR
• Day traders on 5m-30m timeframes
• Swing traders on 1H-Daily timeframes
• Scalpers seeking momentum confirmation
• Options traders identifying reversal points
• Futures traders (especially /ES, /NQ, /YM)
• Forex traders on major pairs
• Cryptocurrency traders
Stochastic RSI with DivergencesStochastic RSI with Divergences - Enhanced Edition
DESCRIPTION
- This is an enhanced version of the classic Stochastic RSI indicator with divergence detection, originally created by @fskrypt (Log RSI), @RicardoSantos (Divergences), @JustUncleL (edits), and @NeoButane (2018 modifications). Full credit to these talented developers for the foundational work.
ENHANCEMENTS & MODIFICATIONS
- This version adds several user-requested features for improved customization and clarity:
- Divergence Signal Labels: Regular divergence signals now display "Buy" (green) and "Sell" (red) instead of generic "R" markers. Hidden divergences show "H-Buy" and "H-Sell" for clearer identification.
- Customizable Colors: User-adjustable colors for both K line (default: blue) and D line (default: orange) allow traders to match their chart themes.
- Adjustable Transparency: Separate opacity controls for the K/D fill shading (default: 70%) and background zones (default: 98%) provide precise visual customization without overwhelming the chart.
- Optional Divergence Lines: Toggle the green and red divergence connecting lines on/off while keeping the Buy/Sell labels visible, reducing visual clutter when desired.
- Organized Settings: All inputs are logically grouped (StochRSI Settings, Divergence Settings, Colors, Opacity) for easier navigation and configuration.
HOW IT WORKS
- The indicator identifies regular and hidden divergences between price action and the Stochastic RSI oscillator:
- Regular Bullish Divergence (Buy): Price makes lower lows while StochRSI makes higher lows - potential reversal signal
- Regular Bearish Divergence (Sell): Price makes higher highs while StochRSI makes lower highs - potential reversal signal
- Hidden Bullish Divergence (H-Buy): Price makes higher lows while StochRSI makes lower lows - trend continuation signal
- Hidden Bearish Divergence (H-Sell): Price makes lower highs while StochRSI makes higher highs - trend continuation signal
- The Stochastic RSI oscillates between 0-100, with readings above 80 indicating overbought conditions and below 20 indicating oversold conditions.
SETTINGS
StochRSI Settings
RSI Length: 14 (default)
Stoch Length: 14 (default)
K Smoothing: 3 (default)
D Smoothing: 3 (default)
Log Scale: Optional logarithmic transformation
Average K & D: Optional blending of both lines
Divergence Settings
Show Divergences: Toggle all divergence signals
Show Hidden Divergences: Toggle H-Buy/H-Sell signals
Show Divergence Lines: Toggle connecting lines between divergence points
Show Divergences Channel: Display fractal channels
Colors
K Line Color: Customize the fast line
D Line Color: Customize the slow line
Opacity
- Background Opacity: Control 20-80 zone shading (0-100)
K/D Fill Opacity: Control area between K and D lines (0-100)
USE CASES
- Momentum trading: Identify overbought/oversold conditions
Divergence trading: Spot potential reversals and trend continuations
Multi-timeframe analysis: Confirm signals across different timeframes
Trend confirmation: Use with other indicators for confluence
CREDITS
- Original concept and code: @fskrypt (Log RSI), @RicardoSantos (Divergence detection), @JustUncleL (modifications), @NeoButane (2018 updates)
Enhanced by: NPR21 (User interface improvements, label modifications, transparency controls)
Kewme//@version=5
indicator("EMA 9/15 + ATR TP/SL Separate Boxes (No Engulfing)", overlay=true, max_lines_count=500, max_boxes_count=500)
// ===== INPUTS =====
atrLen = input.int(14, "ATR Length")
slMult = input.float(1.0, "SL ATR Multiplier")
rr = input.float(2.0, "Risk Reward")
// ===== EMA =====
ema9 = ta.ema(close, 9)
ema15 = ta.ema(close, 15)
plot(ema9, color=color.green, title="EMA 9")
plot(ema15, color=color.red, title="EMA 15")
// ===== TREND STATE =====
var int trendState = 0
// ===== ATR =====
atr = ta.atr(atrLen)
// ===== Indecision =====
bodySize = math.abs(close - open)
candleRange = high - low
indecision = bodySize <= candleRange * 0.35
// ===== SIGNAL CONDITIONS (NO Engulfing) =====
buySignal =
ema9 > ema15 and
trendState != 1 and
indecision and
close > ema9
sellSignal =
ema9 < ema15 and
trendState != -1 and
indecision and
close < ema9
// ===== UPDATE TREND STATE =====
if buySignal
trendState := 1
if sellSignal
trendState := -1
// ===== SL & TP =====
buySL = close - atr * slMult
buyTP = close + atr * slMult * rr
sellSL = close + atr * slMult
sellTP = close - atr * slMult * rr
// ===== PLOTS =====
plotshape(buySignal, text="BUY", style=shape.labelup, location=location.belowbar, color=color.green, size=size.tiny)
plotshape(sellSignal, text="SELL", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.tiny)
// ===== VARIABLES =====
var line buySLLine = na
var line buyTPLine = na
var line sellSLLine = na
var line sellTPLine = na
var box buySLBox = na
var box buyTPBox = na
var box sellSLBox = na
var box sellTPBox = na
// ===== BUY SIGNAL =====
if buySignal
// Delete previous
if not na(buySLLine)
line.delete(buySLLine)
line.delete(buyTPLine)
box.delete(buySLBox)
box.delete(buyTPBox)
// Draw lines
buySLLine := line.new(bar_index, buySL, bar_index + 15, buySL, color=color.red, width=2)
buyTPLine := line.new(bar_index, buyTP, bar_index + 15, buyTP, color=color.green, width=2)
// Draw separate boxes
buySLBox := box.new(bar_index, buySL - atr*0.1, bar_index + 15, buySL + atr*0.1, border_color=color.red, bgcolor=color.new(color.red,70))
buyTPBox := box.new(bar_index, buyTP - atr*0.1, bar_index + 15, buyTP + atr*0.1, border_color=color.green, bgcolor=color.new(color.green,70))
// ===== SELL SIGNAL =====
if sellSignal
// Delete previous
if not na(sellSLLine)
line.delete(sellSLLine)
line.delete(sellTPLine)
box.delete(sellSLBox)
box.delete(sellTPBox)
// Draw lines
sellSLLine := line.new(bar_index, sellSL, bar_index + 15, sellSL, color=color.red, width=2)
sellTPLine := line.new(bar_index, sellTP, bar_index + 15, sellTP, color=color.green, width=2)
// Draw separate boxes
sellSLBox := box.new(bar_index, sellSL - atr*0.1, bar_index + 15, sellSL + atr*0.1, border_color=color.red, bgcolor=color.new(color.red,70))
sellTPBox := box.new(bar_index, sellTP - atr*0.1, bar_index + 15, sellTP + atr*0.1, border_color=color.green, bgcolor=color.new(color.green,70))
Simple RSI Strategy - Rule Based Higher Timeframe Trading
HOW IT WORKS
With the default settings, the strategy buys when RSI reaches 30 and closes when RSI reaches 40 .
That’s it.
A simple, rule-based mean reversion strategy designed for higher timeframes , where market noise is lower and trading becomes easier to manage.
Core logic:
Long when RSI moves into oversold territory
Exit when RSI mean-reverts upward
Optional short trades from overbought levels
One position at a time (no pyramiding)
No filters.
No discretion.
Just clear, testable rules.
MARKETS & TIMEFRAMES
This strategy is intended for:
Indices (Nasdaq, S&P 500, DAX, etc.)
Liquid futures and CFDs
Higher timeframes: 2H, 4H and Daily
The published example is Nasdaq (NDX) on the 2-hour timeframe .
Higher timeframes are strongly recommended.
HOW TO USE IT
Apply the strategy on a higher timeframe
Adjust RSI levels per market if needed
Use TradingView alerts to avoid constant screen-watching
Focus on execution, risk control, and consistency
This strategy is meant to be a building block , not a complete trading business on its own.
For long-term consistency, it works best when combined with other uncorrelated, rule-based systems.
IMPORTANT
This is not financial advice
All results are historical and not indicative of future performance
Always forward-test and apply proper risk management
For additional notes, setups and related systems, visit my TradingView profile page .
VWAP Gravity Oscillator (VGO) (Intraday Only)VWAP Gravity Oscillator (VGO)
The VWAP Gravity Oscillator (VGO) is an intraday analytical indicator designed to quantify price displacement from VWAP and the rate of change of that displacement.
The indicator models VWAP as a statistical equilibrium level and evaluates:
Price deviation from VWAP (Delta)
Momentum and acceleration of that deviation via MACD
This framework enables assessment of trend persistence versus mean-reversion pressure in intraday price action.
Methodology
VWAP Delta
Measures the signed distance between price and VWAP, representing directional bias relative to equilibrium.
MACD on Delta
Captures the first- and second-order dynamics of VWAP deviation, highlighting acceleration, deceleration, and potential inflection points.
Zero Line
Represents price–VWAP equilibrium. Crossings may indicate regime transitions.
Interpretation Guidelines
Positive Delta
Price is trading above VWAP with positive directional bias.
Negative Delta
Price is trading below VWAP with negative directional bias.
Increasing MACD
Expansion of VWAP deviation (trend reinforcement).
Decreasing or reversing MACD
Contraction of VWAP deviation (mean-reversion risk).
Intended Applications
Intraday trend validation
Early detection of trend exhaustion
Mean-reversion risk assessment
Filtering low-conviction or balanced market conditions
Implementation Notes
Designed exclusively for intraday timeframes
Automatically suppressed on higher-timeframe charts
Intended as a contextual analysis tool, not a standalone signal generator
Conceptual Summary
VGO evaluates whether price is diverging from, stabilizing around, or reverting toward VWAP by analyzing both displacement and its rate of change.
VWAP Gravity Oscillator (VGO) (Intraday Only)Update: Configurable Price Source for VWAP Calculation
This update adds a configurable Price Source for VWAP calculation, independent of the price used to measure VWAP deviation (Delta).
Users can now separately select:
The price used to compute VWAP
The price used to compute Delta (Price − VWAP)
Both inputs support the same set of options:
Close
Average of High, Low, Close (default for VWAP)
Maximum of Open and Close
Minimum of Open and Close
This enhancement allows finer control over how equilibrium (VWAP) and price displacement are defined, supporting different intraday behaviour such as wick sensitivity, breakout confirmation, and mean-reversion analysis.
VWAP Gravity Oscillator (VGO) (Intraday Only)Update: Configurable Price Source for VWAP Delta
This update introduces a configurable Price Source for calculating VWAP deviation (Delta).
Users can now select how price is defined when measuring displacement from VWAP:
Close (default)
Average of High, Low, Close
Maximum of Open and Close
Minimum of Open and Close
This enhancement allows the VWAP Gravity Oscillator to adapt to different intraday behaviors, including wick-sensitive conditions, breakout confirmation, and mean-reversion analysis, while preserving the original indicator logic and defaults.
No changes were made to signal structure, scaling, or timeframe restrictions.
[CT] Daily & Weekly Percentage Price Oscillator Daily & Weekly Percentage Price Oscillator, or D&W PPO, is a dual-speed momentum oscillator that blends a slower “weekly-style” percentage oscillator with a faster “daily-style” percentage oscillator, then turns the relationship between them into a clean histogram that is easy to trade. The script builds four EMAs from the chart’s close. The first pair, L1 and L2, is used to create the W component, which behaves like a slow, higher-timeframe trend pressure line. W is calculated as the percentage distance between EMA(L1) and EMA(L2), normalized by EMA(L2). When W is rising and positive, it tells you the broader momentum is expanding upward, and when W is falling and negative, the broader momentum is expanding downward. The second pair, L3 and L4, creates the D component, which behaves like a faster, lower-timeframe momentum pulse, also expressed as a percentage but normalized by the same EMA(L2), so both components share a consistent “scale.” The script then combines them into R = W + D, which represents the total blended momentum, where W supplies the slow structure and D supplies the fast impulse.
The indicator is plotted as a histogram using “R − W,” and that choice is intentional. Because R = W + D, the histogram value “R − W” is mathematically identical to D. In other words, the columns you see are the fast momentum component, but anchored to a clear baseline that reflects whether the fast component is adding to, or subtracting from, the slower component’s trend context. The zero line is the equilibrium point where R equals W, meaning the fast component is neutral relative to the slow trend context. When the histogram is above zero, the fast component is contributing positive momentum and the script colors the columns with the Bull color, indicating that R is above W and the short-term push is aligned to the upside. When the histogram is below zero, the fast component is contributing negative momentum and the script colors the columns with the Bear color, indicating that R is below W and the short-term push is aligned to the downside. If you enable “Color price bars,” the chart candles are painted with the same logic so you can visually stay in sync with the fast momentum regime without staring at the panel.
How to trade it comes down to treating the histogram as your actionable trigger layer and using its behavior around the zero line as the decision boundary. A basic long framework is to prioritize long trades when the histogram is above zero and either expanding or printing consecutive positive columns, because that tells you the fast momentum pulse is supportive and not fighting the current regime. The cleanest long entries usually occur when the histogram flips from negative to positive and holds above zero for at least a bar or two, because that transition often marks the shift from pullback pressure into renewed upside impulse. You can add selectivity by watching for a “dip and re-strengthen” pattern above zero: after a positive run, the histogram contracts toward the baseline without breaking materially below it, then turns back up, which often corresponds to a controlled pullback followed by continuation. A basic short framework is the mirror image: prioritize shorts when the histogram is below zero and expanding downward, and treat flips from positive to negative that hold below zero as the higher-quality transition into downside impulse. In both directions, the histogram is especially useful for avoiding trades during momentum dead zones, because when columns chop tightly around the zero line with frequent flips, it is signaling indecision and a lack of clean directional impulse, which is where most “false starts” tend to happen.
Risk management with this tool is straightforward because the oscillator gives you a natural invalidation concept. For long trades, a common invalidation is the histogram losing the zero line and staying negative, since that indicates the fast component has turned from supportive to opposing. For short trades, invalidation is the histogram regaining the zero line and holding positive. Another practical way to manage trades is to use histogram contraction as an early warning that the impulse is weakening. If you are long and positive columns begin to shrink toward zero for several bars, you can tighten risk, take partials, or wait for a fresh expansion before adding. If you are short and negative columns begin to shrink toward zero, the same concept applies. The optional W line can be shown if you want a visual anchor of the slow component; while the histogram is already built to reflect the fast component relative to the slow context, viewing W can help you quickly recognize whether the larger momentum backdrop is generally rising or falling, which can be used as an additional bias filter for trade selection.
In practice, the D&W PPO is best used as a momentum alignment and timing tool: the slow component defines the “weather,” the fast component defines the “wind,” and the histogram tells you whether the wind is pushing with the weather or pushing against it. When the histogram is cleanly one-sided and expanding, it supports continuation-style trading and trend-following entries. When the histogram is choppy around zero, it warns you that conditions are rotational and patience usually pays.
EMA Spread Exhaustion DetectorEMA Spread Exhaustion – Reversal Scalper's Tool
Identifies trend exhaustion for high-probability counter-trend entries. Triggers when EMA(4/9/20) stack is fully aligned and spread stretches beyond ±ATR threshold. Ideal confluence for TDI hooks + strong rejection candles on 15s charts. Visual markers, fills, and alerts for quick scalps.
Momentum Pro (Tuned v6)Momentum Pro (Tuned v6) is an intraday momentum strategy designed to capture high-quality continuation moves while aggressively filtering out chop and low-participation setups. It combines trend alignment, volume confirmation, momentum strength, and volatility-based risk control into a single rules-driven system.
The strategy is optimized for 1–5 minute charts on liquid stocks and ETFs and is intended for short-term trading, not mean reversion or scalping.
Momentum Pro requires price to be above session VWAP and EMA(8) to be above EMA(18), ensuring trades align with the dominant intraday trend. Momentum quality is confirmed using the MACD histogram and an RSI entry band that favors strength without chasing overextended moves. Relative Volume must exceed a strict threshold to ensure real participation, and ADX is used to avoid low-trend, choppy conditions.
Entries occur only on confirmed breakouts above recent highs, reducing false signals during consolidation. Risk is managed using an ATR-based stop that adapts to volatility, paired with a fixed reward-to-risk profit target to enforce positive expectancy. Optional early exits are included to protect profits if momentum fades or price loses VWAP.
This strategy is not predictive and does not attempt to call tops or bottoms. It is designed to trade only when multiple conditions align, favoring fewer, higher-quality trades over frequency. It works best when used with a higher-timeframe market bias and strict risk discipline.
Intuitive Predictive MACD TargetsThis indicator uses Reverse Engineering math to calculate the exact price the market needs to reach for specific MACD events to happen on the current bar.
Standard MACD is a lagging indicator—you usually wait for the candle to close to confirm a signal. This script changes that by drawing "Finish Lines" on your chart, showing you exactly where price must go right now to trigger a Crossover or a Momentum Hook.
The "Reverse Engineering" Concept
Instead of calculating MACD from Price, we calculate the Required Price from the Target MACD.
Q: "At what price will the MACD line cross the Signal line?"
A: The script solves this and draws the Green/Red "Crossover" Line.
Key Features
1. Three Distinct Targets
Crossover Target (PCO/NCO): The exact price needed to trigger a Buy/Sell signal on the current candle.
Dynamic Coloring: Turns Green if price needs to go UP to cross, Red if price needs to go DOWN.
Settlement Target (The Hook): The exact price where the MACD momentum flattens out (Angle = 0). If price touches this Orange Dashed Line, the trend is likely pausing or preparing to reverse.
Zero Cross Target: The price needed for MACD to reclaim the Zero Line.
2. Smart "Staggered" Labels (No Overlap)
Unlike other scripts where text piles up and becomes unreadable, this indicator automatically spreads labels horizontally.
Crossover info stays near the price.
Settlement info is shifted to the right.
Zero info is shifted further right.
Result: You can read all three targets clearly, even if the prices are almost identical.
3. Full Customization
Line Length: Choose "Infinite" to see targets as Support/Resistance levels across the screen, or "Short" to keep your chart background clean.
Text Visibility: Option to force text to White or Black for high contrast on Dark/Light themes.
Styles: Fully adjustable colors, line widths, and styles (Solid, Dashed, Dotted) for each target type.
How to Use
The "Finish Line" Strategy: If you are Long, and the Red NCO Line appears just below the current price, be cautious. It means a very small drop will confirm a Bearish Cross.
Momentum Checks: Watch the Orange "Settlement" Line.
If price is moving away from the Orange line, the trend is accelerating (Safe to hold).
If price touches the Orange line, momentum has died (Consider taking profit).
Settings
Visual Settings: Change Line Length (Infinite/Short) and Text Color.
MACD Settings: Standard inputs (Default 12, 26, 9).
Toggles: Option to show/hide the Zero Line target.
BTC Scalping 3m | Supertrend + MACD Squeeze (NY) [v6 FINAL]BTC 3-Minute Scalping Strategy
Supertrend Bias + MACD Squeeze (New York Session)
This is a fully mechanical BTC scalping strategy designed to capture short momentum bursts that occur when volatility expands in the direction of the higher-timeframe trend.
The strategy combines trend confirmation, volatility compression/expansion, and strict session filtering to reduce noise and improve consistency.
How It Works
Trend Bias
Uses a 15-minute Supertrend to define market direction.
Trades are taken only in the direction of the higher-timeframe trend.
Counter-trend signals are ignored.
Timing & Entry
Executes on the 3-minute chart.
Waits for volatility compression using a LazyBear-style MACD Squeeze.
Enters only when the squeeze releases and momentum turns positive.
Entry occurs on candle close above the execution-timeframe Supertrend.
Session Filter
Trades only during the New York session (13:00–21:00 UTC).
This avoids low-liquidity periods and reduces false breakouts.
Risk & Exits
Dynamic stop-loss placed at the execution-timeframe Supertrend.
Risk is calculated using the actual filled entry price for accurate R-based exits.
Primary profit target is 0.5R, optimized for scalping.
Positions are exited immediately if:
Price closes against Supertrend
Supertrend flips direction
Momentum (MACD histogram) turns negative
Trades are typically short-lived (1–3 candles), keeping exposure minimal.
Key Characteristics
Non-repainting logic
Fully rule-based (no discretion)
High win-rate, low-RR scalping profile
Designed for BTC futures/perpetuals
Optimized for New York session volatility
Usage Notes
Run on BTC 3-minute charts
Best results during active NY hours
Performance will vary by exchange, fees, and slippage
This strategy is intended for education and testing, not financial advice
Summary
This strategy focuses on trading volatility expansion aligned with trend, using Supertrend for structure and MACD Squeeze for timing. By restricting trades to high-liquidity hours and enforcing strict exits, it aims for consistent, repeatable scalps rather than large directional bets.
Laplace Transform Oscillator Pro主要功能：
拉普拉斯變換近似：使用指數衰減權重來模擬拉普拉斯域的平滑效果
震盪器(LTO)：顯示價格與拉普拉斯平滑值的差異
信號線：提供交易信號的參考線
柱狀圖：顯示LTO與信號線的差異
參數說明：
Length：拉普拉斯變換的窗口長度（預設14）
Alpha：衰減係數，控制平滑程度（預設0.3，越小越平滑）
Signal Line Length：信號線的EMA週期（預設9）
交易信號：
🟢 買入信號：LTO向上穿越信號線時出現綠色三角形
🔴 賣出信號：LTO向下穿越信號線時出現紅色三角形
背景顏色會根據趨勢變化（綠色=看漲，紅色=看跌）
功能：
資訊面板：顯示當前LTO值、訊號線、趨勢強度和距離上次訊號的K棒數
視覺標記：🚀(買入) 🔻(賣出)更清楚的標示
門檻線：綠色/紅色虛線顯示訊號觸發區域
⚙️ 建議參數調整：
提高Signal Threshold(0.5→1.0)可進一步減少訊號
增加Min Bars Between Signals(5→10)延長間隔
調整Length(21)可改變靈敏度
Main functions：
Laplace transform approximation: Use exponential attenuation weights to simulate the smoothing effect of the Laplace domain
Oscillator (LTO): Shows the difference between the price and the Laplace smoothing value
Signal line: A reference line that provides trading signals
Histogram: Shows the difference between LTO and signal line
Parameter description：
Length: The window length of the Laplace transform (preset 14)
Alpha: Attenuation coefficient, control the degree of smoothing (preset 0.3, the smaller the smoother)
Signal Line Length: The EMA cycle of the signal line (default 9)
Trading signals：
🟢Buy signal: A green triangle appears when LTO crosses the signal line upward
🔴Sell signal: A red triangle appears when LTO crosses the signal line downwards
The background color will change according to the trend (green = bullish, red = bearish)
function：
Information panel: displays the current LTO value, signal line, trend strength, and the number of K bars from the last signal
Visual marking:清楚(buy) 🔻 (sell) Clearer marking
Threshold line: Green/red dotted line shows the signal trigger area
️️ Recommended parameter adjustment：
Increasing the Signal Threshold (0.5→1.0) can further reduce the signal
Increase Min Bars between Signals (5→10) to extend the interval
Adjust the length (21) to change the sensitivity
Zenith MACD Evolution [JOAT]
Zenith MACD Evolution - Volatility-Normalized Momentum Oscillator
Introduction and Purpose
Zenith MACD Evolution is an open-source oscillator indicator that takes the classic MACD and normalizes it by ATR (Average True Range) to create consistent overbought/oversold levels across different market conditions. The core problem this indicator solves is that traditional MACD values are incomparable across different volatility regimes. A MACD reading of 50 might be extreme in a quiet market but normal in a volatile one.
This indicator addresses that by dividing MACD by ATR and scaling to a consistent range, allowing traders to use fixed overbought/oversold levels that work across all market conditions.
Why ATR Normalization Works
Traditional MACD problems:
- Values vary wildly based on price and volatility
- No consistent overbought/oversold levels
- Hard to compare across different instruments
- Extreme readings in one period may be normal in another
ATR-normalized MACD (Zenith) solves these:
- Values scaled to consistent range
- Fixed overbought/oversold levels work across all conditions
- Comparable across different instruments
- Extreme readings are truly extreme regardless of volatility
How the Normalization Works
// Classic MACD
= ta.macd(close, fastLength, slowLength, signalLength)
// ATR for normalization
float atrValue = ta.atr(atrNormLength)
// Volatility-Normalized MACD
float zenithMACD = atrValue != 0 ? (histLine / atrValue) * 100 : 0
float zenithSignal = ta.ema(zenithMACD, signalLength)
The result is a MACD that typically ranges from -200 to +200, with consistent levels:
- Above +150 = Overbought
- Below -150 = Oversold
- Above +200 = Extreme overbought
- Below -200 = Extreme oversold
Signal Types
Zero Cross Up/Down - Zenith crosses zero line (trend change)
Overbought/Oversold Entry - Zenith enters extreme zones
Overbought/Oversold Exit - Zenith leaves extreme zones (potential reversal)
Momentum Shift - Histogram direction changes (early warning)
Divergence - Price makes new high/low but Zenith does not
Histogram Coloring
The histogram uses four colors to show momentum state:
- Strong Bull (Teal) - Positive and rising
- Weak Bull (Light Teal) - Positive but falling
- Strong Bear (Red) - Negative and falling
- Weak Bear (Light Red) - Negative but rising
This helps identify momentum shifts before crossovers occur.
Dashboard Information
Zenith - Current normalized MACD value with signal line
Zone - Current zone (EXTREME OB/OVERBOUGHT/NORMAL/OVERSOLD/EXTREME OS)
Momentum - Direction (RISING/FALLING/FLAT)
Histogram - Current histogram value
ATR Norm - Current ATR value used for normalization
Classic - Traditional MACD value for reference
How to Use This Indicator
For Mean-Reversion:
1. Wait for Zenith to reach extreme zones (+200/-200)
2. Look for momentum shift (histogram color change)
3. Enter counter-trend when exiting extreme zone
For Trend Following:
1. Enter long on zero cross up
2. Enter short on zero cross down
3. Use histogram color to gauge momentum strength
For Divergence Trading:
1. Watch for DIV labels (price vs Zenith divergence)
2. Bullish divergence at support = potential long
3. Bearish divergence at resistance = potential short
Input Parameters
Fast/Slow/Signal Length (12/26/9) - Standard MACD parameters
ATR Normalization Period (26) - Period for ATR calculation
Overbought/Oversold Zone (150/-150) - Zone thresholds
Extreme Level (200) - Extreme threshold
Show Classic MACD Lines (false) - Toggle traditional lines
Show Divergence Detection (true) - Toggle divergence signals
Divergence Lookback (14) - Bars to scan for divergence
Timeframe Recommendations
All timeframes work due to normalization
Higher timeframes provide smoother signals
Normalization makes cross-timeframe comparison meaningful
Limitations
ATR normalization adds slight lag
Divergence detection is simplified
Extreme zones can persist in strong trends
Works best when combined with price action analysis
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Momentum analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Vortex Trend Matrix [JOAT]Vortex Trend Matrix - Multi-Factor Trend Confluence System
Introduction and Purpose
Vortex Trend Matrix is an open-source overlay indicator that combines Ichimoku-style equilibrium analysis with the Vortex Indicator to create a comprehensive trend confluence system. The core problem this indicator solves is that single trend indicators often give conflicting signals. Price might be above a moving average but momentum might be weakening.
This indicator addresses that by combining five different trend factors into a single composite score, making it easy to identify when multiple factors align for high-probability trend trades.
Why These Components Work Together
Each component measures trend from a different perspective:
1. Cloud Position - Price above/below the equilibrium cloud indicates overall trend bias. The cloud acts as dynamic support/resistance.
2. TK Relationship - Conversion line vs Base line (like Tenkan/Kijun in Ichimoku). Conversion above Base = bullish momentum.
3. Lagging Span - Current price compared to price N bars ago. Confirms whether current move has follow-through.
4. Vortex Indicator - VI+ vs VI- measures directional movement strength. Provides momentum confirmation.
5. Base Direction - Whether the base line is rising or falling. Indicates medium-term trend direction.
How the Trend Score Works
float trendScore = 0.0
// Cloud position (+2/-2)
trendScore += aboveCloud ? 2.0 : belowCloud ? -2.0 : 0.0
// TK relationship (+1/-1)
trendScore += conversionLine > baseLine ? 1.0 : conversionLine < baseLine ? -1.0 : 0.0
// Lagging span (+1/-1)
trendScore += laggingBull ? 1.0 : laggingBear ? -1.0 : 0.0
// Vortex (+1.5/-1.5)
trendScore += vortexBull ? 1.5 : vortexBear ? -1.5 : 0.0
// Base direction (+0.5/-0.5)
trendScore += baseDirection * 0.5
Score ranges from approximately -6 to +6:
- +4 or higher = STRONG BULL
- +2 to +4 = BULL
- -2 to +2 = NEUTRAL
- -4 to -2 = BEAR
- -4 or lower = STRONG BEAR
Signal Types
TK Cross Up/Down - Conversion line crosses Base line (momentum shift)
Base Direction Change - Base line changes direction (medium-term shift)
Strong Bull/Bear Trend - Score reaches +4/-4 (high confluence)
Dashboard Information
Trend - Overall status with composite score
Cloud - Price position (ABOVE/BELOW/INSIDE)
TK Cross - Conversion vs Base relationship
Lagging - Lagging span bias
Vortex - VI+/VI- relationship
VI+/VI- - Individual vortex values
How to Use This Indicator
For Trend Following:
1. Enter long when trend score reaches +4 or higher (STRONG BULL)
2. Enter short when trend score reaches -4 or lower (STRONG BEAR)
3. Use cloud as dynamic support/resistance for entries
For Momentum Timing:
1. Watch for TK Cross signals for entry timing
2. Base direction changes indicate medium-term shifts
3. Vortex confirmation adds conviction
For Risk Management:
1. Exit when trend score drops to neutral
2. Use cloud edges as stop-loss references
3. Reduce position when score weakens
Input Parameters
Conversion Period (9) - Fast equilibrium line
Base Period (26) - Slow equilibrium line
Lead Span Period (52) - Cloud projection period
Displacement (26) - Cloud and lagging span offset
Vortex Period (14) - Period for vortex calculation
VI+ Strength (1.10) - Threshold for strong bullish vortex
VI- Strength (0.90) - Threshold for strong bearish vortex
Timeframe Recommendations
4H-Daily: Best for equilibrium-based analysis
1H: Good for intraday trend following
Lower timeframes may require adjusted periods
Limitations
Equilibrium calculations have inherent lag
Cloud displacement means signals are delayed
Works best in trending markets
May whipsaw in ranging conditions
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Adjusted RSI - [JTCAPITAL]Adjusted RSI – is a modified and enhanced way to use the Relative Strength Index (RSI) combined with double normalization, adaptive exponential smoothing, and range compression to create a smoother, more readable, and more structurally consistent momentum oscillator for Trend-Following and momentum analysis.
This indicator is designed to solve several common RSI issues at once:
Excessive noise in raw RSI values
Inconsistent scaling across different market conditions
Difficulty identifying true momentum shifts versus random fluctuations
By re-centering, compressing, normalizing, and smoothing RSI data twice , this script produces a highly refined momentum curve that reacts smoothly while still respecting directional changes.
The indicator works by calculating in the following steps:
Raw RSI Calculation
The script begins by calculating a standard RSI using the selected RSI Length . This RSI is based on the closing price and measures relative strength by comparing average gains and losses over the defined period.
RSI Re-Centering
After the RSI is calculated, the script subtracts 50 from the RSI value.
This converts the RSI from its native scale into a centered oscillator ranging around 0 , making positive values bullish momentum and negative values bearish momentum.
Initial RSI Smoothing
The re-centered RSI is then smoothed using a Simple Moving Average (SMA) over the defined RSI Smoothing Length .
This step removes high-frequency noise and stabilizes short-term RSI fluctuations before further processing.
Range Compression (Clipping)
To prevent extreme outliers from dominating future calculations, the RSI values are clipped:
Values below -10 are forced to -10
Values above +10 are forced to +10
This creates a controlled and consistent RSI range, ensuring later normalization behaves reliably.
First Normalization (Min-Max Scaling)
The clipped RSI values are normalized over the selected Smoothing Length :
The lowest RSI value in the window is detected
The highest RSI value in the window is detected
Current RSI is scaled to a 0–100 range based on this dynamic range
This allows the indicator to adapt automatically to changing volatility and momentum environments.
First Adaptive Smoothing
The normalized RSI is then smoothed using a custom exponential smoothing formula controlled by the Smoothing Factor .
This smoothing behaves similarly to an EMA but allows explicit control over responsiveness.
Second Normalization
The smoothed values undergo a second min-max normalization over the same length.
This further stabilizes the oscillator and ensures consistent amplitude and structure, regardless of market regime.
Second Adaptive Smoothing
A second exponential smoothing pass is applied to the normalized data, further refining the curve and reducing residual noise.
Final Re-Centering
Finally, the indicator subtracts 50 from the smoothed normalized values, re-centering the oscillator around zero .
This produces the final Adjusted RSI line used for visualization and analysis.
Common interpretations for use include:
Bullish Momentum :
When the Adjusted RSI is above zero and rising, indicating strengthening bullish pressure.
Bearish Momentum :
When the Adjusted RSI is below zero and falling, indicating strengthening bearish pressure.
Momentum Shifts :
A change in slope (from falling to rising or vice versa) often signals an early momentum transition.
Divergences :
Differences between price direction and Adjusted RSI direction can highlight potential reversals.
Because the indicator is normalized and smoothed, it pairs exceptionally well with:
Trend filters (moving averages, trend lines)
Volatility filters
Higher-timeframe confirmation
Features and Parameters:
RSI Length
Defines the lookback period for the initial RSI calculation.
RSI Smoothing Length
Controls the SMA smoothing applied directly to the re-centered RSI.
Smoothing Length
Determines the lookback window used for both normalization passes.
Smoothing Factor
Controls the responsiveness of the adaptive exponential smoothing.
Lower values = smoother, slower reaction
Higher values = faster, more responsive reaction
Specifications:
Relative Strength Index (RSI)
RSI is a momentum oscillator that measures the speed and magnitude of recent price changes. By re-centering RSI around zero, the script converts it into a directional momentum oscillator that is easier to interpret for trend-following.
Simple Moving Average (SMA)
The SMA reduces short-term fluctuations in RSI, ensuring that only meaningful momentum changes proceed to later calculations.
Range Clipping
By limiting RSI values to a defined range, extreme spikes are prevented from skewing normalization. This keeps the indicator stable across different assets and timeframes.
Min-Max Normalization
Normalization rescales values into a fixed range (0–100), allowing momentum behavior to remain consistent regardless of volatility conditions.
Adaptive Exponential Smoothing
This smoothing technique gradually adjusts values toward new data based on the smoothing factor. It allows the indicator to remain smooth while still reacting to genuine momentum shifts.
Double Normalization and Double Smoothing
Applying normalization and smoothing twice significantly improves structural stability. The result is a refined oscillator that filters noise without sacrificing trend awareness.
Why This Combination Works
By combining RSI with controlled compression, adaptive smoothing, and dynamic normalization, this indicator transforms raw momentum data into a highly structured and trend-aligned oscillator. The result is an RSI-based tool that:
Reduces noise
Adapts to volatility
Maintains consistent scaling
Highlights true momentum direction
This makes the Adjusted RSI particularly effective for swing trading, trend confirmation, and momentum-based strategies across all markets and timeframes.
Enjoy!
Digital MACD Divergences MTF [LUPEN]Digital MACD Divergences MTF V1.0
Overview:
Digital MACD Divergences MTF is an advanced momentum oscillator based on digital signal processing techniques.
Instead of relying on traditional moving-average smoothing, it applies Finite Impulse Response (FIR) digital filters to extract momentum more cleanly, reducing lag and short-term market noise.
The indicator is designed to provide a clear visualization of momentum structure, divergence behavior, and multi-timeframe context, rather than discrete trading signals.
Conceptual Architecture
At its core, the indicator reinterprets the classic MACD framework through digital convolution logic:
FIR filters are used to compute momentum in a more responsive and stable manner than standard EMA-based MACD.
The resulting histogram represents momentum intensity and direction as a continuous state rather than binary conditions.
A digitally smoothed signal line provides structural reference without introducing excessive delay.
This approach emphasizes momentum quality and structure, not signal frequency.
Divergence Detection Logic:
The script includes automatic divergence detection based on pivot analysis:
Regular bullish and bearish divergences are identified using confirmed pivot points.
Divergences are visualized with explicit line structures and optional filled areas, highlighting the zone of disagreement between price behavior and momentum.
The visualization is designed to remain readable without obscuring price action.
Divergences are presented as contextual information, not as mandatory actions.
Multi-Timeframe (MTF) Context
Digital MACD Divergences MTF supports native multi-timeframe analysis through a dual-pane workflow:
A lower-timeframe instance visualizes local momentum dynamics.
A higher-timeframe instance visualizes the broader momentum regime within which lower-timeframe fluctuations occur.
The higher-timeframe view is not intended as confirmation or filtering logic, but as a contextual background layer that helps interpret short-term momentum behavior inside a larger structural environment.
This separation avoids decision compression and keeps each timeframe’s role conceptually distinct.
Visual Design
Gradient-based histogram fills represent momentum intensity in a continuous manner.
Positive and negative momentum regions are clearly differentiated while remaining adaptable to both dark and light chart themes.
All visual elements are designed to emphasize state and regime, not discrete events.
Reliability
No repainting: all divergences and momentum states are confirmed on candle close and remain fixed.
Designed for consistency across instruments and timeframes.
Customization Options
Timeframe selection for MTF mode (leave empty to use the chart’s timeframe).
Adjustable signal smoothing parameters.
Divergence visibility controls, pivot sensitivity, and optional divergence fill.
Fully customizable color palette.
Usage Notes
This indicator is a visual market analysis tool intended to support momentum interpretation and structural context.
It does not provide investment advice, trading signals, or automated decision logic, and should be used as part of a broader analytical framework.
Final quotes:
"Trading is not about prediction, but about understanding momentum structure.
Digital MACD removes noise to make that structure visible."
Aura Vortex Oscillator [Pineify]Aura Vortex Oscillator – Adaptive Momentum with Visual Depth
The Aura Vortex Oscillator is a sophisticated momentum indicator that transforms raw price action into a visually immersive analytical tool. By combining Sigmoid-based normalization through ArcTan mathematics with adaptive momentum calculations, this oscillator delivers clear, bounded signals while filtering market noise. The distinctive "Vortex Mesh" visualization creates a layered depth effect that reveals trend consensus across multiple smoothing periods.
Key Features
Sigmoid normalization using ArcTan function for bounded output (-100 to +100)
Adaptive momentum calculation with standard deviation normalization
Multi-layered "Vortex Mesh" creating visual depth and trend confluence signals
Dynamic color-coded visualization for instant trend recognition
Zero-line crossover signals with plotted reversal markers
Extreme zone highlighting for overbought/oversold conditions
How It Works
The core calculation begins with computing the Z-score of price relative to its simple moving average, normalized by standard deviation. This adaptive component automatically adjusts sensitivity based on recent volatility. The normalized value then passes through an ArcTan function, which acts as a sigmoid transformation, "squarifying" the output to emphasize extreme conditions while keeping values bounded.
os = atan(z × intensity) × 63.66
The multiplier 63.66 scales the output to approximately -100 to +100, providing intuitive overbought/oversold levels at ±50.
Trading Ideas and Insights
Use zero-line crossovers as primary trend change signals – bullish when crossing above, bearish when crossing below
Monitor the Vortex Mesh thickness – a thick, solid aura indicates strong trend consensus across timeframes
Watch for background highlighting at ±50 levels to identify statistical extremes for potential reversals
Combine with price action analysis when the oscillator reaches boundary zones
How Multiple Indicators Work Together
The Aura Vortex Oscillator integrates three technical concepts into one cohesive system. The adaptive momentum calculation provides the raw signal, responding dynamically to market volatility. The ArcTan normalization bounds this signal and emphasizes extremes without clipping. Finally, the Vortex Mesh applies multiple EMA smoothing layers to the base signal, creating visual depth that shows whether different momentum speeds agree on trend direction.
Unique Aspects
Unlike traditional oscillators that show a single line, this indicator visualizes momentum as a "thermal field" through its layered mesh system. The mesh expands and contracts based on trend agreement – a thick, cohesive glow suggests high-confluence momentum, while a thin, scattered appearance warns of choppy, range-bound conditions.
How to Use
Add the indicator to your chart as a separate pane
Look for color transitions (green to red or vice versa) at zero-line crosses for trend reversals
Use the ±50 boundary zones and background highlighting to identify overextended conditions
Enable the Vortex Mesh to visualize trend strength and momentum consensus
Customization
Vortex Sensitivity (20) : Base period for momentum calculation – lower values increase responsiveness
Vortex Intensity (2.0) : Amplifies signal squarification – higher values push readings toward extremes faster
Aura Smoothing (8) : EMA period for the main signal line – higher values reduce noise
Enable Vortex Mesh : Toggle the layered visualization effect
Color Settings : Customize bullish, bearish, and neutral colors
Conclusion
The Aura Vortex Oscillator offers traders a unique perspective on momentum analysis by combining mathematical rigor with innovative visualization. Its adaptive normalization ensures reliable signals across different market conditions, while the Vortex Mesh provides instant visual feedback on trend quality. Whether you are identifying trend reversals, measuring momentum strength, or seeking confluence confirmation, this oscillator delivers actionable insights in an intuitive format.
Hull DMI - MattesHull DMI - Mattes
A Directional Movement Index enhanced with Hull Moving Average smoothing for refined trend detection.
This indicator reimagines the classic Directional Movement Index (DMI) by incorporating Hull Moving Average (HMA) smoothing on high and low prices. It calculates the +DI and -DI components based on changes in these hulled values, then derives the ADX for trend strength. The core plot displays the difference between +DI and -DI, colored to indicate bullish (blue) or bearish (purple) dominance when ADX is rising. Additionally, it overlays colored candles on the price chart to visually represent the prevailing trend direction.
Key Features:
Hull-Smoothed Inputs: Applies HMA to highs and lows before computing directional changes, reducing noise and lag compared to standard DMI.
Customizable Lengths: Adjustable periods for HMA, DI, and ADX smoothing to suit various timeframes and assets.
Trend Visualization: Plots DI difference with dynamic coloring and overlays trend-colored candles for at-a-glance analysis.
Alert Conditions: Built-in alerts for long (bullish) and short (bearish) signals when conditions shift.
How It Differs from Standard DMI/ADX:
Unlike the traditional DMI, which uses raw price changes and true range, this version employs Hull Moving Averages on highs and lows for smoother, more responsive directional calculations. This minimizes whipsaws in choppy markets while preserving sensitivity to genuine trends. The ADX is integrated to filter signals, ensuring color changes and alerts only occur during strengthening trends, setting it apart from basic oscillator-based indicators. Why It's Useful:
Enhanced Trend Identification: The HMA smoothing provides clearer signals in volatile environments, helping traders spot emerging trends earlier.
Visual Clarity: Colored DI plot and candle overlays make it easy to interpret market bias without cluttering the chart.
Versatility: Suitable for stocks, forex, crypto, and more; excels in trend-following strategies or as a filter for other systems.
Risk Management Aid: By focusing on ADX-confirmed moves, it reduces false signals, potentially improving win rates in systematic trading.
This Hull DMI variant offers several practical advantages that can directly improve trading decisions and performance:
Reduced Lag with Smoother Signals: By applying Hull Moving Average smoothing to highs and lows, the indicator responds faster to genuine trend changes than the standard DMI while filtering out much of the noise that causes false signals in ranging or choppy markets. Traders get earlier entries into trending moves without excessive whipsaws.
Built-in Trend Strength Filter: The optional ADX confirmation (enabled by default) ensures bullish signals and blue coloring only activate when trend strength is increasing (ADX rising). This helps traders avoid entering long positions during weakening or sideways trends, focusing capital on higher-probability setups.
Clear Visual Bias at a Glance: The single oscillator line (+DI – -DI) centered on zero, combined with dynamic blue/purple coloring and full candle overlay on the price chart, instantly shows the dominant trend direction. No need to interpret multiple lines—traders can quickly assess market bias across multiple charts or timeframes.
Versatile Across Markets and Styles: Works effectively on stocks, forex, futures, and cryptocurrencies. Trend-following traders can use it standalone for entries/exits, swing traders can use it for bias confirmation, and scalpers/day traders benefit on lower timeframes due to the reduced lag.
Improved Risk Management: By prioritizing ADX-confirmed directional moves, the indicator naturally filters low-conviction setups. This can lead to higher win rates and better risk-reward ratios when used systematically, especially when combined with proper stop-loss placement below/above recent swings.
Easy Integration: Built-in alert conditions and simple long/short logic make it straightforward to incorporate into automated strategies, watchlists, or as a confirming filter alongside other indicators (e.g., moving averages, RSI, volume profile).
Customizable Sensitivity: Separate inputs for Hull length, DI period, and ADX smoothing allow traders to optimize the indicator for specific assets, volatility regimes, or personal trading horizons—making it adaptable rather than one-size-fits-all.
Signals & Interpretation
The oscillator plots the difference between +DI and -DI (positive = bullish dominance, negative = bearish).
Bullish Signal (Long): +DI crosses above -DI, and (if ADX confirmation enabled) ADX is rising — triggers blue coloring, candle overlay, and long alert.
Bearish Signal (Short): -DI crosses above +DI — triggers purple coloring, candle overlay, and short alert.
Zero line acts as neutrality; crossings indicate potential trend shifts.
Best used in trending markets; ADX rising filter helps avoid whipsaws.
// Example Usage in Strategy
strategy("Hull DMI Strategy Example", overlay=true)
if L
strategy.entry("Long", strategy.long)
if S
strategy.entry("Short", strategy.short)
Great Inventions Require great care
Disclaimer: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Past performance is not indicative of future results. Always backtest thoroughly on your specific assets and timeframes, and consult a qualified financial advisor before making trading decisions. The author assumes no responsibility for any losses incurred from its use.
MACD Standard DeviationThe MACD Standard Deviation is a new trend following tool, designed to be smoother & more accurate
Benefits
- High BINANCE:BNBUSDT performance
- Fast entries with less noise
- Simple calculation
The Idea
The idea is simple - get a MACD that is less noisy. This would increase the accuracy and make it a more reliable tool.
How is works
It works by calculating the MACD and calculating the Standard Deviation of the MACD and add it as "bands". This adjusts the MACD to be more accurate and to be able to reduce false signals.
Enjoy Gs!
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
---
Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
---
Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
---
2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
---
Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
---
Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
Pulse Volume Commitment [JOAT]
Pulse Volume Commitment - Three-Dimensional Momentum Analysis
Introduction and Purpose
Pulse Volume Commitment is an open-source oscillator indicator that analyzes price action through three distinct dimensions: Quantity (candle count), Quality (body structure), and Commitment (volume-weighted quality). The core problem this indicator solves is that simple bullish/bearish candle counts miss important context. A market can have more green candles but still be weak if those candles have small bodies and low volume.
This indicator addresses that by requiring all three dimensions to align before generating strong signals, filtering out weak moves that lack conviction.
Why These Three Dimensions Work Together
Each dimension measures a different aspect of market conviction:
1. Quantity - Counts bullish vs bearish candles over the lookback period. Tells you WHO is winning the candle count battle.
2. Quality - Scores candles by body size relative to total range. Full-bodied candles (small wicks) indicate stronger conviction than doji-like candles. Tells you HOW decisively price is moving.
3. Commitment - Weights quality scores by volume. High-quality candles on high volume indicate institutional participation. Tells you WHETHER smart money is involved.
When all three align (e.g., more bullish candles + bullish quality + bullish commitment), the signal is significantly more reliable.
How the Calculations Work
Quantity Analysis:
int greenCount = 0
int redCount = 0
for i = 0 to lookbackPeriod - 1
if close > open
greenCount += 1
if close < open
redCount += 1
bool quantityBull = greenCount > redCount
Quality Analysis (body-to-range scoring):
for i = 0 to lookbackPeriod - 1
float candleBody = close - open // Signed (positive = bull)
float candleRange = high - low
float bodyQuality = candleRange > 0 ? (candleBody / candleRange * 100) * candleRange : 0.0
sumBodyQuality += bodyQuality
bool qualityBull = sumBodyQuality > 0
Signal Types
FULL BULL - All three dimensions bullish (Quantity + Quality + Commitment)
FULL BEAR - All three dimensions bearish
LEAN BULL/BEAR - 2 of 3 dimensions agree
MIXED - No clear consensus
STRONG BUY/SELL - Full confluence + ADX confirms trending market
ADX Integration
The indicator includes ADX (Average Directional Index) to filter signals:
- ADX >= 20 = TRENDING market (signals more reliable)
- ADX < 20 = RANGING market (signals may whipsaw)
Strong signals only trigger when full confluence occurs in a trending environment.
Dashboard Information
Quantity - BULL/BEAR/FLAT with green/red candle ratio
Quality - Directional bias based on body quality scoring
Commit - Volume-weighted commitment reading
ADX - Trend strength (TRENDING/RANGING)
Signal - Confluence status (FULL BULL/FULL BEAR/LEAN/MIXED)
Action - STRONG BUY/STRONG SELL/WAIT
How to Use This Indicator
For High-Conviction Entries:
1. Wait for FULL BULL or FULL BEAR confluence
2. Confirm ADX shows TRENDING
3. Enter when Action shows STRONG BUY or STRONG SELL
For Filtering Weak Setups:
1. Avoid entries when signal shows MIXED
2. Be cautious when ADX shows RANGING
3. Require at least 2 of 3 dimensions to agree
For Divergence Analysis:
1. Watch for Quantity bullish but Commitment bearish (distribution)
2. Watch for Quantity bearish but Commitment bullish (accumulation)
Input Parameters
Lookback Period (9) - Bars to analyze for all three dimensions
ADX Smoothing (14) - Period for ADX calculation
ADX DI Length (14) - Period for directional indicators
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Lookback period may need adjustment for different timeframes
Limitations
Lookback period affects signal responsiveness vs reliability tradeoff
Volume data quality varies by exchange
ADX filter may cause missed entries in early trends
Works best on liquid instruments with consistent volume
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Confluence signals do not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
