Indicator
Indicator
Elaris Smart Scalping IndicatorElaris Smart Scalping Indicator is a non-repainting trend and momentum scalping tool designed to help traders identify higher-quality buy and sell conditions using a structured confluence model.
The indicator combines EMA trend direction, RSI momentum, MACD histogram confirmation, volume strength, ATR volatility filtering, optional higher-timeframe bias, and session filtering into a clean signal-scoring system. Signals are confirmed only after candle close, helping reduce intrabar noise and repainting behavior.
It also includes visual TP/SL guide levels, trend background shading, buy/sell labels, alert conditions, and a compact dashboard showing trend state, HTF bias, RSI, ATR percentage, volume filter status, and signal score.
This tool is designed for scalping and short-term trading analysis across crypto, forex, indices, and other liquid markets. It is not financial advice and should be used with proper risk management and additional market context.
Key Features
Non-repainting confirmed buy/sell signals
EMA-based trend engine with adjustable strictness
RSI and MACD momentum confirmation
Optional higher-timeframe trend filter
Volume and ATR volatility quality filters
Optional session filter
Signal score system from 0–100
Visual entry, stop loss, TP1, and TP2 guide levels
Clean dashboard for live market state
Built-in PulseWire alert conditions Indicator
Real Strength Scalper Overview
A momentum-continuation scalping strategy designed for the 5-minute timeframe. It uses a single custom oscillator — the Real Strength histogram — combined with a dual SMA trend filter to capture confirmed directional moves, while a static percentage stop loss and an adaptive, regime-dependent exit logic manage open trades.
Concept and Originality
Most momentum oscillators answer either *which direction* or *how strong*, rarely both in a way that requires real conviction. The Real Strength histogram fuses three independent components into one signed value:
- Price momentum** — Rate of Change of price over N bars (provides the sign)
- Volume confirmation** — current volume divided by its moving average (amplifier)
- Trend strength** — ADX scaled around a 20 reference (amplifier)
These three are multiplied together (with a small floor to prevent the amplifiers from zeroing out the result on quiet bars) and then smoothed with an EMA. The output is an oscillator where the sign tells direction and the magnitude reflects how much *real* force is behind the move. A high histogram reading requires all three components to align — price moving, volume present, ADX confirming.
This composite differs from a standalone ROC, MACD, or volume-weighted oscillator because none of those three on their own require simultaneous confirmation across price, participation, and trend strength.
Entry Logic
A long entry requires every condition below to be true on the same bar:
- Histogram above the positive threshold (default 1.0)
- Histogram rising vs. the previous bar (no entries on a fading peak)
- ADX above the minimum level (default 14)
- DI+ greater than DI− (directional confirmation)
- Volume ratio above minimum (default 1.2× average)
- *Optional:* Fast SMA above Slow SMA (default 30/60, toggleable)
Short entries mirror these conditions on the bearish side.
Exit Logic — Regime-Dependent
The exit behavior changes based on whether the SMA trend filter still confirms the position. This is the central design choice of the strategy:
While SMA still confirms the position:
The trade exits only when the histogram crosses through zero into the opposite zone past a defined flip threshold (default ±0.8). This allows winners to ride through pullbacks and consolidations as long as the larger structure (SMA cross) still favors the trade.
After SMA reverses against the position:
The trade exits on a classic peak-drop rule — if the histogram falls 25% or more from its peak value reached during the trade, the position is closed. This protects open profits when structure breaks down.
A hard static stop loss (default 1%) is always active and overrides both exit modes if reached first. A minimum hold of 3 bars prevents premature exits caused by noise immediately after entry.
Re-Entry Lock
After a stop loss is hit, the strategy refuses to re-enter in the same direction until the histogram returns to (or crosses) zero. This prevents immediately re-entering the same momentum that just stopped the previous trade out — a common cause of consecutive losses on choppy bars.
Settings Guide
- Strength threshold (1.0):** minimum histogram magnitude required for entry. Lower values produce more trades; higher values are more selective.
- Min ADX (14):** filters out low-trending environments.
- Volume Ratio (1.2):** requires above-average participation on the entry bar.
- SMA Fast / Slow (30 / 60):** trend regime filter; can be disabled to compare baseline performance.
- Stop Loss % (1.0):** static distance from entry. Adjust per instrument volatility.
- Peak drop % (25):** how much the histogram must fall from peak to trigger peak-exit.
- Flip exit threshold (0.8):** how far the histogram must travel into the opposite zone to trigger flip-exit.
- Min bars before peak/flip (3):** protects against same-bar noise exits.
Default Properties and Backtesting Realism
- Initial capital: 100,000
- Position size: 3% of equity per trade
- Commission: 0.04%
- Slippage: 3 ticks
- Process orders on close: true
- No pyramiding
These defaults reflect realistic crypto futures conditions. Users trading other instruments or venues should adjust commission and slippage to match their broker.
Intended Use
- Built and validated on the 5-minute timeframe
- Best suited for liquid markets with consistent volume profile
- One position at a time, both long and short
- Re-tune thresholds per instrument; defaults are starting points, not optimal values for every market
Notes
Past performance does not guarantee future results. Backtest outcomes depend strongly on the chosen instrument, time range, and parameter settings. This strategy is published as an educational tool to demonstrate a composite-momentum approach with regime-dependent exits — not as a turnkey trading system. Always test with your own data and risk parameters before any live use. Strategy
Ultimate Scalping Tool 2.0 [BullByte]Ultimate Scalping Tool 2.0
What This Tool Was Built For
UST 2.0 is a flux oscillator designed to help scalpers and intraday traders read market state more clearly. It sits in the lower pane of your chart and shows you whether the current market environment is trending cleanly, compressing before a move, chopping in a range, or losing momentum after an extension.
The core idea is simple. Four internal measurements feed into one oscillator. Each measurement looks at a different part of market behavior: how cleanly price is traveling, whether momentum is meaningful given current volatility, what volatility itself is doing, and whether participation is building or fading. These four readings are weighted differently depending on what the market is doing right now. During a trend, directional measurements get more weight. During compression, volatility and flow get more weight. During a range, momentum and participation matter most.
The output is displayed as a candle on the oscillator pane. The candle color, the regime label, the confluence histogram, and the structural overlays all update on every bar to give you a current read on conditions. This is not a signal generator. It is a state monitor. You still need to decide when and how to act.
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Why Version 2.0 Exists Separately
Ultimate Scalping Tool Version 1.0 is still published. It uses a different internal structure and outputs labeled signals like Strong Buy and Pullback Sell. Many traders built their workflows around that approach, and changing it would have broken their setups. Keeping both versions available lets traders choose the workflow that fits how they trade.
Version 2.0 shifts away from signal labels toward market state classification. The four internal measurements are different. The adaptive weighting engine is different. The visual output is different. The confluence scoring, multi-timeframe context, and oscillator-native zones are all new. The two scripts serve related but different purposes, which is why they exist side by side rather than as an update that replaces the first one.
The continuity between them is the Flux State Candle concept. That visualization approach worked well enough in version 1.0 that it became the foundation for how version 2.0 displays its output.
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One Engine, Not a Collection of Indicators
This is worth addressing directly because it is easy to look at a script that mentions RSI, ATR, and Bollinger Bands and assume it is just wrapping existing indicators together. That is not what is happening here.
RSI does not appear on the chart. ATR does not appear on the chart. Bollinger Bands do not appear on the chart. None of the four internal measurements produce a visible output of their own. They are inputs into a calculation that produces one single output: the Flux Oscillator value. That value is then displayed as a candle.
The reason RSI is used inside the Adaptive Momentum subsystem is not because RSI is a good indicator to show. It is because RSI gives a normalized momentum reading on a known scale, which makes it easier to combine mathematically with the other three measurements on equal footing. The period is not fixed. It changes at runtime based on current volatility, which standard RSI does not do. The output is scaled before it enters the weighting engine. What comes out the other side is not RSI. It is one weighted component of a composite reading.
The same logic applies to ATR inside the Volatility Regime subsystem and to bar-structure calculations inside the Flow Proxy. These are raw materials, not finished products. They feed a pipeline that produces something different from any of them individually.
The four subsystems were chosen because they answer four different questions: is price traveling efficiently, is momentum meaningful right now, is volatility expanding or contracting, and is participation building or fading. Those four questions together give a more complete picture of market state than any one of them alone. That is the design intent, and it is why the adaptive weighting engine matters. Different market conditions make different questions more relevant. The engine adjusts accordingly.
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The Four Internal Measurements
The oscillator is built on four subsystems. Each one measures something the others do not.
Directional Efficiency looks at how cleanly price is moving. A market that travels 100 points in a straight line has high efficiency. A market that gyrates up and down while netting only 20 points forward has low efficiency. This helps you see whether a trending move is organized or grinding. For scalping, clean efficient moves are easier to work with than choppy grinders.
Adaptive Momentum uses RSI internally but selects the period based on current volatility. When volatility is high, it uses a shorter period to stay responsive. When volatility is low, it uses a longer period to reduce noise. The reading is then adjusted so that momentum in a high-volatility environment is not overstated and momentum in a quiet environment is not understated.
Volatility Regime combines three volatility signals: where ATR sits within its recent range, whether short-window ATR is rising or falling relative to long-window ATR, and where Bollinger Band width sits within its range. Positive values mean volatility is expanding. Negative values mean it is contracting. Deep negative values below -0.20 usually mean the market is compressing hard, which often precedes directional expansion.
Flow Proxy estimates directional participation from bar structure and relative volume. It approximates buying versus selling pressure using close position within range, price velocity weighted by volume, and absorption detection for high-volume bars with small bodies. This is not true order flow because that requires tick data. It is a proxy built from OHLCV data, and it behaves like one.
These four readings are combined using weights that shift based on what the market is doing. You get one oscillator value per bar. That value is displayed as a candle, classified into a regime state, scored for confluence, and optionally blended with a higher-timeframe context reading.
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How the Regime Classification Works
The script classifies every bar into one of four states: TREND UP, TREND DOWN, COIL, or RANGE.
When efficiency is strong, momentum is aligned, and volatility is not compressing, the regime is TREND . When efficiency is low, volatility is compressing hard, and participation is building, the regime is COIL . When none of those conditions are met, the regime is RANGE .
The regime label appears near the bottom of the pane on the last bar. The background tint changes subtly based on the regime. This classification affects how the four measurements are weighted before they combine into the oscillator value.
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The Confluence Histogram
The gold histogram at the bottom of the pane shows the confluence score from 0 to 100. The score measures how aligned six independent factors are: regime matches oscillator direction, oscillator magnitude is strong, the four internal measurements agree on direction, the higher timeframe aligns with the current one, flow quality is clean without absorption, and volatility context supports the current structure.
A low score means conditions are mixed or weak. A high score means the environment is organized and several factors are confirming the same picture. The histogram grows taller as the score rises. When the bar is short and dark amber, confluence is low. When the bar is tall and bright gold, confluence is high.
This is useful for filtering. If you are watching for a breakout from a consolidation and confluence is at 80, the setup has more environmental support than the same breakout pattern with confluence at 30. The score does not tell you to enter or exit. It tells you whether the broader conditions are organized or scattered.
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How to Read the Flux State Candle
The candle is built from the oscillator value, not from price. Green candles mean the oscillator is above its moving average. Red candles mean it is below. Violet candles mean a volume absorption bar was detected , which is a specific condition where high volume produced a small-bodied bar.
The border brightness increases when the oscillator is further from its moving average. A bright border means conviction. A dim border means the reading is close to neutral.
When the candle is consistently green and the cloud below it is stacked with the fast line above the slow line, the oscillator trend is internally aligned in a bullish direction. When the candle flips to red and the cloud inverts, the oscillator trend is bearish. When the cloud is mixed and candles are alternating color frequently, the oscillator is in a transition or range state.
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Oscillator-Native Zones and Trendlines
The red and green-cyan lines you see on the oscillator pane are support and resistance zones, but they are zones on the oscillator itself, not on price. They mark levels where the oscillator has repeatedly turned. These are built from confirmed pivot highs and lows.
When the oscillator approaches a red resistance zone that has been touched five times, you know the flux reading is approaching a level where it has reversed before. If price is near a key price level at the same time and confluence is high, that convergence can add weight to a reversal setup you are already watching on the price chart.
The cyan and orange trendlines work the same way. They connect confirmed swing points on the oscillator. A cyan ascending trendline from oscillator swing lows tells you the oscillator structure is building higher. An orange descending trendline from oscillator swing highs tells you the oscillator structure is weakening lower. These lines appear after the swing points are confirmed, not before.
All of these structural tools use confirmed pivot logic, which means they appear a few bars after the actual turning point. This is intentional. Unconfirmed pivots fail frequently. Waiting for confirmation removes most of the false starts. When you see a zone or trendline appear or update, it is showing you structure that has been validated by subsequent price action, not structure that might form.
Reading the oscillator structure in practice looks like this.
Two red resistance lines sitting around +25 and +30 on the oscillator, both labelled R MAJO R, tell you that every time flux has pushed up into that band it has been rejected. That ceiling has held six and seven touches respectively. Until flux breaks and closes above those two red lines, the upside is capped on the oscillator. Below there is an S ZONE 3T sitting near -15. That is the floor that has caught the most recent bounce.
On the trendline side, three cyan ascending lines rising from the lower left are bull trendlines built from oscillator swing lows. The lowest at TL 52% is the broadest support. The middle at TL 66% is tighter. The top at TL 74% is the steepest and most recent. If flux bounces off the TL 74% line, that is the most important touch right now. An orange descending line pressing down from above is the bear trendline. When flux is squeezed between a rising cyan trendline and a falling orange trendline, that is a classic wedge compression on the oscillator and it often precedes a directional expansion once one side breaks.
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Divergence Labels
When the oscillator and price stop agreeing on direction, the divergence engine marks it on the chart.
There are four labels. Each one means something specific.
DIV+ appears below the oscillator at a swing low. It means price made a lower low on the price chart, but the oscillator made a higher low at the same point. The downward move is losing internal support. This is regular bullish divergence and it tends to appear near potential exhaustion of a downward move.
DIV- appears above the oscillator at a swing high. It means price made a higher high on the price chart, but the oscillator made a lower high at the same point. The upward move is losing internal support. This is regular bearish divergence and it tends to appear near potential exhaustion of an upward move.
H+ appears as a small circle at a swing low. It means price made a higher low, a normal pullback in an uptrend, but the oscillator made a lower low. The oscillator dipped deeper than price did. This is hidden bullish divergence. It often appears mid-trend during a pullback and can suggest the trend is likely to continue.
H- appears as a small circle at a swing high. It means price made a lower high, a normal pullback in a downtrend, but the oscillator made a higher high. The oscillator pushed higher than price did. This is hidden bearish divergence. It often appears mid-trend during a bounce and can suggest the downtrend is likely to continue.
All four labels appear a few bars after the actual swing point because the pivot must be confirmed by subsequent bars before the label is placed. When you see a label appear, it is sitting on a past bar where the swing has already been validated. Nothing is marked in advance. The label was not there before, and it will not move or disappear after it appears.
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How This Fits Into a Price Action Workflow
Here is one example of how the tool can layer into a real trade setup.
You are watching a 5-minute chart. Price has been consolidating in a tight range for the last hour. On the main price chart, you see a clean horizontal level being tested multiple times. That is your setup area. You are waiting for a breakout.
You glance at the oscillator pane. The regime label says COIL. The flux candles are small and alternating color near the zero line. The confluence histogram is rising and just reached 65. VRI in the dashboard shows -0.25, which is hard compression. COFP is positive and building.
This tells you the oscillator agrees with what you are seeing on price: the market is compressing. Volatility is contracting. Participation is starting to build in one direction. Confluence is improving, meaning the internal measurements are starting to agree.
You wait. Price breaks the consolidation upward on increased volume. At the same moment, the flux candle turns bright green with a strong border. The regime label flips to TREND UP. The confluence histogram jumps to 78. The cloud stacks bullish. The dashboard shows all four internal measurements turned positive.
You already know where your entry is from the price chart. The oscillator is not telling you to buy. The oscillator is telling you the conditions support the breakout you are watching. Efficiency turned positive, meaning price is traveling cleanly. Momentum confirmed. Volatility started expanding. Flow is directional. The environment is organized.
You take the trade based on your price-action plan. You manage the trade from price structure. But while you are in the trade, you glance at the oscillator occasionally. If the flux candle stays green and confluence stays high, conditions remain supportive. If the candle turns red and confluence drops, you tighten your management because the internal read is weakening.
A real chart example of what COIL into expansion looks like: Gold on the 3-minute chart shows a full cycle, a base building through the early session, a strong impulsive rally, then a controlled rollover where the oscillator hugs just above zero with the regime label reading COIL. The oscillator has compressed hard after the post-peak selloff, and the cyan ascending bull trendline is now acting as the floor of the oscillator structure. This is the compression phase the tool is designed to identify before the next directional move develops.
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What This Tool Does Not Do
This script does not tell you where to enter or exit. It does not produce buy and sell signals. The flux candle, the regime label, the confluence score, and the structural overlays all describe conditions, not actions.
The zones and trendlines on the oscillator are not price levels. They are oscillator levels. They tell you where the oscillator has turned before, not where price will turn next.
The HTF oscillator is a simplified version of the current-timeframe calculation. It uses fixed parameters and reduced components for cross-timeframe stability. It is useful for context, but it is not identical to the full engine running on the higher timeframe.
Pivot-based elements appear after confirmation, which means they lag the actual pivot by the confirmation period . This is intentional. The tradeoff is fewer false signals at the cost of slightly delayed information.
Confluence measures environmental alignment, not trade direction. A high score means conditions are organized. A low score means they are not. Neither tells you to buy or sell.
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Recommended Timeframes and Settings
This tool works best on intraday timeframes from 1 minute to 1 hour. For active scalping, use 1-minute to 5-minute charts with the HTF set to 15 minutes. For slightly slower intraday swings, use 15-minute to 60-minute charts with the HTF set to 4 hours or daily.
The multi-timeframe panel should show timeframes that are meaningfully different from your chart timeframe. If you are on 5 minutes, set the panel to 15 minutes, 60 minutes, and 240 minutes. If the panel shows timeframes that are too close together, the readings will be nearly identical and provide no additional information.
The default settings are balanced for general use. If the oscillator is too noisy, increase the DER length or the AMVS base period. If the oscillator is too slow, decrease them. If zones and trendlines are appearing too frequently, increase the minimum touch requirements. If they are not appearing enough, decrease them.
The adaptive weighting setting should generally stay on unless you have a specific reason to use fixed manual weights. The adaptive behavior is part of how the tool adjusts to different market conditions.
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Understanding the Limitations
No indicator can predict the future . This tool shows you the current state of several internal measurements and how aligned they are. It does not know what will happen next.
Markets can shift from organized to chaotic in seconds. A high confluence reading can drop to low confluence on the next bar if one of the internal measurements changes direction. That is normal. The tool is reactive, not predictive .
The S/R zones and trendlines are based on past oscillator behavior. Just because the oscillator turned at a zone five times before does not mean it will turn there again. Past structure informs context but does not guarantee repetition.
Divergence suggests momentum quality is changing. It does not guarantee reversal. Many divergences resolve with price continuing in the original direction after a brief pause or consolidation.
Volume absorption detection is based on relative volume and body size. It identifies a specific bar condition but does not tell you how the market will respond to that condition.
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A Note on Expectations
This script was built to give scalpers and intraday traders more clarity about market state. It was not built to replace chart reading, price action analysis, or trade management discipline.
If you are looking for a tool that tells you exactly when to enter and exit, this is not that tool. If you are looking for a tool that helps you see whether the current environment is organized or messy, whether internal measurements are aligned or conflicting, and whether higher-timeframe context supports or opposes your intended direction, this can help with that.
The best results come when the oscillator is used as confirmation for setups you are already identifying from price structure, not as a standalone signal generator. The flux candle, regime label, confluence score, and structural overlays are all context layers. They work best when layered on top of solid price action principles, not in place of them.
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Disclaimer
This script is published for educational purposes. Trading involves substantial risk of loss. No indicator or tool can eliminate that risk. Past performance of any indicator does not predict future results. The author is not responsible for any trading decisions made using this script. Always apply your own risk management, test thoroughly on demo or simulation before live use, and never risk more than you can afford to lose.
- BullByte Indicator
Indicator
Quantum Scalper 5MWelcome to the Quantum Scalper 5M, a highly precise, confluence-based reversal indicator designed specifically for lower timeframes. Unlike traditional indicators that generate signals on simple crossovers, this system is built on a strict "Touch & Reject" logic, filtering out market noise and focusing only on high-probability reversal zones.
🔥 Core Philosophy: The Power of Triple Confluence
A signal is ONLY generated when price simultaneously interacts with three independent technical components. It must "touch/wick" the extreme levels of all three components and strictly "close" inside them, confirming a valid rejection.
Support & Resistance (SR): Dynamic lookback-based structure levels.
Bollinger Bands (BB): Volatility-based standard deviation bands.
Quantum Trend Flow (QTF): An advanced ATR and Volatility-based dynamic channel.
⚙️ Key Features:
Strict "Touch & Reject" Logic: Buy signals appear only when the low of the candle touches the lower BB, lower QTF, and Support, while the close remains above them. Sell signals require the exact opposite at resistance zones.
Dynamic Risk/Reward (RR) Boxes: Once a signal is triggered, the indicator automatically draws a real-time Risk/Reward box (Default: 0.5% SL, 1.0% TP). These boxes dynamically extend to the right with every new candle until the Take Profit or Stop Loss is explicitly hit, acting as a visual trade journal on your chart!
Multi-Timeframe (MTF) Trend Filter: An optional built-in higher timeframe filter ensures you are only taking scalp trades in the direction of the macro trend.
Momentum & Trend Dashboard: A clean, non-intrusive dashboard displays the current MTF Trend status, RSI-based Momentum strength (Strong/Weak Bull or Bear), and the last active signal.
Clean Visuals: By default, the complex bands and channels are hidden to keep your chart perfectly clean. You only see what matters: Price action, strict signals, and your dynamic RR boxes.
📊 How to Use:
Timeframe: Optimized for 5-minute (5M) and 15-minute (15M) charts.
Markets: Highly effective on Crypto, Forex, and Indices with decent volatility.
Risk Management: The dynamic RR boxes are visual guides. Always use hard stop losses in your actual exchange terminal.
Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always backtest strategies before using real funds. Indicator
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Trend Gauge [BullByte]Trend Gauge
Summary
A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status.
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## 1. Purpose of the Indicator
Why this was built
Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades.
Key Design Goals
Signal Aggregation
Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically.
Market Regime Awareness
Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts.
Magnitude-Based Scaling
Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength.
Momentum Divergence Penalty
Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries.
Confidence Transparency
Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable.
Momentum Acceleration Visualization
Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making.
Compact Informational Dashboard
Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment.
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## 2. Why a Trader Should Use It
Main benefits and use cases
1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals.
2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts.
3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized.
4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal.
5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions.
6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator.
7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts.
8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic.
9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications.
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## 3. Component Rationale (“Why These Specific Indicators?”)
Each sub-component was chosen because it adds complementary information about trend or momentum:
1. EMA Cross
o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets.
2. VWMA Momentum
o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum.
3. Volume Spikes
o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars.
4. ATR Breakout
o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal.
5. Higher-Timeframe EMA Alignment
o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases.
6. ADX Regime Filter (Manual Calculation)
o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired).
7. RSI Pivot-Divergence Penalty
o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise.
8. Confidence Meter
o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals.
9. Δ Score Momentum View
o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator.
10. Dashboard
• A table in the indicator pane’s top-right with 11 rows:
1. EMA Cross status
2. VWMA Momentum status
3. Volume Spike status
4. ATR Breakout status
5. Higher-Timeframe Trend status
6. Score (numeric)
7. Confidence %
8. Regime (“Trending” or “Ranging”)
9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”)
10. Gauge bar visually representing score magnitude
• All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency.
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## 4. What Makes This Indicator Stand Out
• Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals.
• Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1.
• Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time.
• Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric.
• Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early.
• Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts.
• Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias.
• Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear.
• Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips.
• Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations.
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## 5. Recommended Timeframes & Tuning
• Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However:
o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence.
o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart).
• Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust:
o ADX threshold (e.g., 20–30) based on instrument volatility.
o VWMA and ATR scaling lengths to match average volatility cycles.
o Pivot lookback for divergence: shorter for faster markets, longer for slower ones.
• Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor.
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## 6. How Scoring and Logic Works (Step-by-Step)
1. Compute Sub-Scores
o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0.
o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to .
o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0.
o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low.
o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment.
2. ADX Regime Weighting
o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.”
o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired).
3. Aggregate Raw Score
o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero.
4. Divergence Penalty
o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:
If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).
If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty.
o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright.
5. Normalize and Smooth
o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range.
o Optional EMA smoothing of this normalized score to reduce noise.
6. Interpretation
o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral.
o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”).
o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration.
o Confidence: Percentage of sub-indicators aligned with the score’s sign.
o Regime: Indicates whether trend-based signals are fully weighted or down-weighted.
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## 7. Oscillator Plot & Visualization: How to Read It
Main Score Line & Area
The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds.
Δ Score Histogram
If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar.
Divergence Highlight Fill
If enabled, when a pivot-based divergence is confirmed:
• Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish.
• Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish.
These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag.
Trend Direction Label
When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur.
Dashboard Panel
In the indicator pane’s top-right, a table shows:
1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled”
2. VWMA Momentum status: similarly
3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled”
4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled”
5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled”
6. Score: numeric value (rounded)
7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low)
8. Regime: “Trending” or “Ranging” (colored accordingly)
9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”)
10. Gauge: a bar of blocks representing |score|/100
All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny).
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## 8. Example Usage (Illustrative Scenario)
Example: BTCUSD 5 Min
1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small.
2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment.
3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits.
4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur.
5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section.
6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right.
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## 9. Inputs Explanation
A concise yet clear summary of inputs helps users understand and adjust:
1. General Settings
• Theme (Dark/Light): Choose background-appropriate colors for the indicator pane.
• Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible.
2. Indicator Settings
• Enable EMA Cross: Toggle on/off basic EMA alignment check.
o Fast EMA Length and Slow EMA Length: Periods for EMAs.
• Enable VWMA Momentum: Toggle VWMA momentum check.
o VWMA Length: Period for VWMA.
o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum.
• Enable Volume Spike: Toggle volume spike detection.
o Volume SMA Length: Period to compute average volume.
o Volume Spike Multiplier: How many times above average volume qualifies as spike.
o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish.
• Enable ATR Breakout: Toggle ATR breakout detection.
o ATR Length: Period for ATR.
o Breakout Lookback: Bars to look back for recent highs/lows.
o ATR Multiplier: Multiplier for breakout threshold.
• Enable Higher Timeframe Trend: Toggle HTF EMA alignment.
o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off.
• Enable ADX Regime Filter: Toggles regime-based weighting.
o ADX Length: Period for manual ADX calculation.
o ADX Threshold: Value above which market considered trending.
o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5).
• Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude.
o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum.
• Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR.
o ATR Scale Cap: Maximum multiple of ATR used for breakout strength.
• Enable Price-RSI Divergence: Toggle divergence detection.
o RSI Length for Divergence: Period for RSI.
o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low.
o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5).
3. Score Settings
• Smooth Score: Toggle EMA smoothing of normalized score.
• Score Smoothing Length: Period for smoothing EMA.
• Weak Threshold: Absolute score value under which trend is considered weak or neutral.
• Medium Threshold: Score above Weak but below Medium is moderate.
• Strong Threshold: Score above this indicates strong trend.
4. Visualization Settings
• Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true.
• Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true.
Each input has a tooltip in the code.
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## 10. Limitations, Repaint Notes, and Disclaimers
10.1. Repaint & Lag Considerations
• Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result:
o Divergence labels or fills appear with a delay equal to the pivot lookback.
o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag.
o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed.
• Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars.
• No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off.
10.2. Market & Noise Considerations
• In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters.
• On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features.
• On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals.
10.3. Not a Standalone Trading System
• This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management.
• Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context).
• No guarantees: past behavior does not guarantee future performance.
10.4. Disclaimers
• Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice.
• Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management.
• No Guarantees: The author is not responsible for trading outcomes based on this indicator.
• License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms.
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## 11. Alerts
• The indicator defines three alert conditions:
1. Bullish Trend: when the aggregated score crosses above the Weak threshold.
2. Bearish Trend: when the score crosses below the negative Weak threshold.
3. Neutral Trend: when the score returns within ±Weak after being outside.
Good luck
– BullByte
Indicator
Ultimate Scalping Tool[BullByte]Overview
The Ultimate Scalping Tool is an open-source PulseWire indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators.
Core Components
Quantum Flux Candle (QFC) Construction
The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own.
Oscillator Normalization & Adaptive Weights
The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale).
Trend/Momentum/Volume/Volatility Fusion
Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength.
Signal Classification
The script interprets the QFC oscillator to label trades. For example:
• Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend.
• Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal.
• Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow.
These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion).
Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX)
Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.)
Dashboard Metrics & Color Logic
The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences.
1. Dashboard Layout & Customization
Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input.
Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input.
Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script.
2. Key Metrics Displayed
The dashboard presents critical trading metrics in a structured table format:
Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) .
Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds.
Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator.
Basic & Advanced Signals:
Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade).
Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts.
RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions.
HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter.
VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it.
ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red).
Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom).
Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**.
3. Filters Status Panel
A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals:
- DI Reversal Filter: On/Off (confirms reversals before generating signals).
- Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility).
- Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility).
- Early Signal: On/Off (enables early momentum-based signals).
- Leading HTF Filter: On/Off (applies higher timeframe trend confirmation).
4. Visual Enhancements
Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation.
Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends.
Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator.
How It(QFC) Differs from Traditional Indicators
Quantum Flux Candle (QFC) Versus Heikin-Ashi
Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart.
Versus Standard Oscillators
Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one.
Signal Style
Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code.
Key Term Definitions
• Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting.
• Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade.
• Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended.
What is the Flux MA?
The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish.
How it’s calculated (Flux MA):
1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0).
2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods).
3.The result is rescaled back to the oscillator’s original range for plotting.
Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts.
Color of the Flux Candle
The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means:
• Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward.
• Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward.
• Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long.
• Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short.
The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions.
How to Trade the Flux MA with Respect to the Candle
Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide:
1. Identify the Trend Direction
• Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum.
• Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum.
The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure.
2. Interpret Candle Colors for Trade Signals
• Green Candle : General bullish momentum. Consider entering or holding a long position.
• Red Candle : General bearish momentum. Consider entering or holding a short position.
• Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade.
• Purple Candle : A strong sell signal. This is an ideal time to enter a short trade.
3. Enter Trades Based on Crossovers and Colors
• Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long.
• Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short.
4. Exit Trades
• Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing.
• Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing.
•You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal).
5. Use Additional Confirmation
To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example:
•A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal.
•A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting.
Practical Example
Imagine you’re scalping a cryptocurrency:
• Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA.
• Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA.
Market Presets and Adaptation
This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type.
Usage Guidelines
• Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings.
• Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs.
• Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability.
• Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger.
• Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands.
Background Shading
To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark):
Neutral (Gray)
When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands.
Bullish (Green)
As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight.
Bearish (Red)
Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30.
By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions.
The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference.
Disclaimer
No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders.
Good luck!
- BullByte
Indicator
Williams R Zone Scalper v1.0[BullByte]Originality & Usefulness
Unlike standard Williams R cross-over scripts, this strategy layers five dynamic filters—moving-average trend, Supertrend, Choppiness Index, Bollinger Band Width, and volume validation —and presents a real-time dashboard with equity, PnL, filter status, and key indicator values. No other public Pine script combines these elements with toggleable filters and a custom dashboard. In backtests (BTC/USD (Binance), 5 min, 24 Mar 2025 → 28 Apr 2025), adding these filters turned a –2.09 % standalone Williams R into a +5.05 % net winner while cutting maximum drawdown in half.
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What This Script Does
- Monitors Williams R (length 14) for overbought/oversold reversals.
- Applies up to five dynamic filters to confirm trend strength and volatility direction:
- Moving average (SMA/EMA/WMA/HMA)
- Supertrend line
- Choppiness Index (CI)
- Bollinger Band Width (BBW)
- Volume vs. its 50-period MA
- Plots blue arrows for Long entries (R crosses above –80 + all filters green) and red arrows for Short entries (R crosses below –20 + all filters green).
- Optionally sets dynamic ATR-based stop-loss (1.5×ATR) and take-profit (2×ATR).
- Shows a dashboard box with current position, equity, PnL, filter status, and real-time Williams R / MA/volume values.
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Backtest Summary (BTC/USD(Binance), 5 min, 24 Mar 2025 → 28 Apr 2025)
• Total P&L : +50.70 USD (+5.05 %)
• Max Drawdown : 31.93 USD (3.11 %)
• Total Trades : 198
• Win Rate : 55.05 % (109/89)
• Profit Factor : 1.288
• Commission : 0.01 % per trade
• Slippage : 0 ticks
Even in choppy March–April, this multi-filter approach nets +5 % with a robust risk profile, compared to –2.09 % and higher drawdown for Williams R alone.
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Williams R Alone vs. Multi-Filter Version
• Total P&L :
– Williams R alone → –20.83 USD (–2.09 %)
– Multi-Filter → +50.70 USD (+5.05 %)
• Max Drawdown :
– Williams R alone → 62.13 USD (6.00 %)
– Multi-Filter → 31.93 USD (3.11 %)
• Total Trades : 543 vs. 198
• Win Rate : 60.22 % vs. 55.05 %
• Profit Factor : 0.943 vs. 1.288
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Inputs & What They Control
- wrLen (14): Williams R look-back
- maType (EMA): Trend filter type (SMA, EMA, WMA, HMA)
- maLen (20): Moving-average period
- useChop (true): Toggle Choppiness Index filter
- ciLen (12): CI look-back length
- chopThr (38.2): CI threshold (below = trending)
- useVol (true): Toggle volume-above-average filter
- volMaLen (50): Volume MA period
- useBBW (false): Toggle Bollinger Band Width filter
- bbwMaLen (50): BBW MA period
- useST (false): Toggle Supertrend filter
- stAtrLen (10): Supertrend ATR length
- stFactor (3.0): Supertrend multiplier
- useSL (false): Toggle ATR-based SL/TP
- atrLen (14): ATR period for SL/TP
- slMult (1.5): SL = slMult × ATR
- tpMult (2.0): TP = tpMult × ATR
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How to Read the Chart
- Blue arrow (Long): Williams R crosses above –80 + all enabled filters green
- Red arrow (Short) : Williams R crosses below –20 + all filters green
- Dashboard box:
- Top : position and equity
- Next : cumulative PnL in USD & %
- Middle : green/white dots for each filter (green=passing, white=disabled)
- Bottom : Williams R, MA, and volume current values
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Usage Tips
- Add the script : Indicators → My Scripts → Williams R Zone Scalper v1.0 → Add to BTC/USD chart on 5 min.
- Defaults : Optimized for BTC/USD.
- Forex majors : Raise `chopThr` to ~42.
- Stocks/high-beta : Enable `useBBW`.
- Enable SL/TP : Toggle `useSL`; stop-loss = 1.5×ATR, take-profit = 2×ATR apply automatically.
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Common Questions
- * Why not trade every Williams R reversal?*
Raw Williams R whipsaws in sideways markets. Choppiness and volume filters reduce false entries.
- *Can I use on 1 min or 15 min?*
Yes—adjust ATR length or thresholds accordingly. Defaults target 5 min scalping.
- *What if all filters are on?*
Fewer arrows, higher-quality signals. Expect ~10 % boost in average win size.
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Disclaimer & License
Trading carries risk of loss. Use this script “as is” under the Mozilla Public License 2.0 (mozilla.org). Always backtest, paper-trade, and adjust risk settings to your own profile.
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Credits & References
- Pine Script v6, using PulseWire’s built-in `ta.supertrend()`.
- PulseWire House Rules: www.pulsewire.com
Goodluck!
BullByte
Strategy
Strategy
Pro Scalper AI [BullByte]The Pro Scalper AI is a powerful, multi-faceted scalping indicator designed to assist active traders in identifying short-term trading opportunities with precision. By combining trend analysis, momentum indicators, dynamic weighting, and optional AI forecasting, this tool provides both immediate and latched trading signals based on confirmed (closed bar) data—helping to avoid repainting issues. Its flexible design includes customizable filters such as a higher timeframe trend filter, and adjustable settings for ADX, ATR, and Hull Moving Average (HMA), giving traders the ability to fine-tune the strategy to different markets and timeframes.
Key Features :
- Confirmed Data Processing :
Utilizes a helper function to lock in price and volume data only from confirmed (closed) bars, ensuring the reliability of signals without the risk of intrabar repainting.
- Trend Analysis :
Employs ADX and Directional Movement (DI) calculations along with a locally computed HMA to detect short-term trends. An optional higher timeframe trend filter can further refine the analysis.
- Flexible Momentum Modes :
Choose between three momentum calculation methods—Stochastic RSI, Fisher RSI, or Williams %R—to match your preferred style of analysis. This versatility allows you to optimize the indicator for different market conditions.
- Dynamic Weighting & Volatility Adjustments :
Adjusts the contribution of trend, momentum, volatility, and volume through dynamic weighting. This ensures that the indicator responds appropriately to varying market conditions by scaling its sensitivity with user-defined maximum factors.
- Optional AI Forecast :
For those who want an extra edge, the built-in AI forecasting module uses linear regression to predict future price moves and adjusts oscillator thresholds accordingly. This feature can be toggled on or off, with smoothing options available for more stable output.
- Latching Mode for Signal Persistenc e:
The script features a latching mechanism that holds signals until a clear reversal is detected, preventing whipsaws and providing more reliable trade entries and exits.
- Comprehensive Visualizations & Dashboard :
- Composite Oscillator & Dynamic Thresholds : The oscillator is plotted with dynamic upper and lower thresholds, and the area between them is filled with a color that reflects the active trading signal (e.g., Strong Buy, Early Sell).
- Signal Markers : Both immediate (non-latching) and stored (latched) signals are marked on the chart with distinct shapes (circles, crosses, triangles, and diamonds) to differentiate between signal types.
- Real-Time Dashboard : A customizable dashboard table displays key metrics including ADX, oscillator value, chosen momentum mode, HMA trend, higher timeframe trend, volume factor, AI bias (if enabled), and more, allowing traders to quickly assess market conditions at a glance.
How to Use :
1. S ignal Interpretation :
- Immediate Signals : For traders who prefer quick entries, the indicator displays immediate signals such as “Strong Buy” or “Early Sell” based on the current market snapshot.
- Latched Signals : When latching is enabled, the indicator holds a signal state until a clear reversal is confirmed, offering sustained trade setups.
2. Trend Confirmation :
- Use the HMA trend indicator and the optional higher timeframe trend filter to confirm the prevailing market direction before acting on signals.
3. Dynamic Thresholds & AI Forecasting :
- Monitor the dynamically adjusted oscillator thresholds and, if enabled, the AI bias to gauge potential shifts in market momentum.
4. Risk Management :
- Combine these signals with additional analysis and sound risk management practices to determine optimal entry and exit points for scalping trades.
Disclaimer :
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always perform your own analysis and use proper risk management strategies before trading.
Indicator
Strategy
CANDLE LEVELS [PRO]This indicator provides you with 55 levels! with labels to help you identify quickly where current price is in relation to the OPEN, CLOSE, HIGH OF DAY and LOW OF DAY to a respective level. Choose from levels as low as the 5 minute time frame all the way up to 200 days. All of the levels except the day's OPEN, HIGH OF DAY AND LOW OF DAY use the PREVIOUS time frame's level. In other words, when you're looking at the "1 DAY HIGH", that's actually the previous day's HIGH OF DAY. Whether you're a scalper on the lower time frames or a swing trader that mainly uses the 1 hour and above, these candle levels can be an invaluable source of support and resistance; in other words you'll often see price bounce off of a level (whether price is increasing or decreasing) once or multiple times and that could be an indication of a price's direction. Another way that you could utilize this indicator is to use it in confluence with other popular signals, such as an EMA crossover. For instance, you could watch as price rises above the 21 EMA all the while price is also crossing up and over the previous day's HIGH OF DAY with a relative volume that's double that of the previous week's average. These are just a few of some potential bullish signals that you could look for to go long on a trade using the candle levels provided.
I've made this indicator extremely customizable:
⚡Each level has 2 labels: 1 "at level" and 1 "at right", each label and price can be disabled
⚡Each label has its own input for label padding. The "at right" label padding input allows you to zoom in and out of a chart without the labels moving along their respective axis
⚡Each label's text can be customized via an "input.string" code base
⚡Each level's label can be changed via a plot style setting to determine if the label is centered with it's respective level or rides along the top of it
⚡Significant figures input allows you to round price up or down
⚡A "bias EMA" tool that color codes the candles and price line to show you where price is in relation to the 21 EMA (or another value that you pick). As a result, this can be an effective visual to help reduce cognitive load
⚡A "fill level" where color is determined by price opening above or below the previous day's close
⚡A "use current close" setting that's great to use in pre-market as it shows you where price is in relation to the previous days' close
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🙏Thanks to (c)satymahajan for the inspiration behind the ATR "previous close" and "bias candle" code base
🙏Thanks to my mentor (c)SimpleCryptoLife for the libraries and extensive code to help create this indicator Indicator
Opening Range & Prior Day High/Low [Gorb]Introduction:
Opening Range & Prior Day High/Low indicator is an easy to use day traders tool. This indicator automatically plots the previous days high and low, as well as drawing a box from the opening range that the user specifies in the settings. These two together can help provide an indication of market sentiment and price trends for the day. They are often used as a trading strategy for day traders.
Overview:
The Opening Range , draws a box from the high to the low of the user defined time period and is extended until the end of the trading session. Most common are the 5/15/30min opening ranges.
Prior Day High/Low , draws lines from the previous days high and low that extend across the current session. These are used as support/resistance and also a marker to see market sentiment by crossing one of these levels.
The indicator is designed for all kinds of traders, offering a simple approach to automatically plot levels for you.
Features:
All skill-level friendly presets, easy to enable with one-click
Opening Range: Allows user to choose what time the range starts and ends to measure the high & low.
Extend Range Lines: allows the user to choose when the box stops extending according to the trading session time.
Enable Opening Range Box: allows the user to choose to plot the opening range or not.
ORB Border Color: allows the user to change the box border color.
ORB Box Shade Color: allows the user to change the background of the opening range box.
ORB Line Width: allows users to chose the width of the opening range box lines.
Enable Previous Day High: allows users to enable the previous days high to be plotted.
Enable Previous Day Low: allows users to enable the previous days high to be plotted.
Previous Day High Color: allows users to choose the color for this line.
Previous Day Low Color: allows users to choose the color for this line.
All colors are changeable for the user to customize to their liking.
Usage Demonstration
In the image below, we can see a basic example of how these 3 features function.
As explained above, the opening range is customizable to meet the users needs and can be disabled with one click. Same goes for the prior day high(green) and low(red) lines. All 3 are plotted each day automatically for the user if enabled.
In the image below, we can see an example of using the opening range break and prior day high together for a trading strategy.
This is a great example of using the prior day high with the opening range to use as a day trading strategy. It provides the trader with levels to watch for price to break out from for possible trade setups.
In this next image, we can see a failed breakdown from the opening range that results in a bullish breakout.
The first move was a fake breakdown with the failed rejection on the retest of the opening range lows. This led to a breakout above the range and a confirmation bounce on the breakout retest. Price did break above the prior day high and confirmed with a retest bounce on that level as well.
In the image below, we can see how previous days levels can act as resistance to use with the opening range.
Price didn't reject the opening range low, but it did reject the prior day high for the second time. This could be used as an entry or once price breaks down out of the opening range again.
Conclusion:
We believe in providing user-friendly tools to help speed up traders technical analysis and implement easy trading strategies. The goal is to provide a user-friendly indicator to automatically draw opening ranges and previous days levels to suit the users needs and trading style.
RISK DISCLAIMER
All content, tools, scripts & education provided by Monstanzer or Gorb Algo LLC are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results. Indicator
Indicator
Time Based Crypto DayTrade StrategyThis is a time based strategy, designed to enter and exit within the same day of the week, using different hours for entry and exit.
The script is long only direction, and it has no risk management inside, so use it with caution.
At the same time you can also calculate each individual hour return within a certain day, and make your own idea about the best moments to be enter.
In order to filter a bit from the bad trades, I have applied an ATR filter, to check if that volatility is rising in order to help eliminate some of the bad trades when there is no volatility around.
For this example, on BTC, it seems that for the last years, on tuesday and thursday, enterring at the beginning of the daily candle, 01:00hours and exit at 00:00 hours, seems to give positive results giving the idea that can be converted in some sort of edge into our favor.
However dont take this entirelly for granted and conduct your own searches
Strategy
Attrition Scalper v2.0Green/Red Arrowed Buy/Sell signals are just simple buy sell signals based on SuperTrend, VWAP, Bollinger, Linear Regression
Purple Arrowed Buy/Sell Signals happen when the price/candle cross over or under the yellow outer lines (4.236 fib lines) It's extremely rare and hard for price to stay above these lines therefore we can usually and comfortably buy/sell it, a key information here though when price pumps or dumps super fast and hard to the point of crossing these borders, the trend might also be extremely strong and continous so even if the price temporarily goes back inside the borders as the lines expand over time price can continue riding or crossing these lines back again and continue the uptrend/downtrend, therefore crossing these outer borders doesn't necessarilly and always mean a reversal is due.
When analyzing the instrument you're trading the important factors for support/resistance areas are usually the outer lines like i said previously it's super hard for price to be outside these and will almost always get back inside quickly. The Middle thicker green/red line which is Variable Index Dynamic Average should also be a nice pivot line for major support and resistance . All the other lines are also important dynamic support/resistance lines.
Their Importance Order
1- Outer Yellow Line (4.236 Fibs)
2- Thicker Middle Green/Red Line (VIDYA)
3- Thinner Upper/Lower Green/Red Line (VIDYA +3, VIDYA -3)
4- The Rest Of The Lines (Fib Lines)
You can use this indicator in any market condition in any market to determine key support/resistance levels, use it for mean reversion through price expanding to outside of the most outer line therefore being overbought/oversold basically using the purple buy/sell signals or only follow the normal buy/sell signals or use it in confluence with each other. You can also use this indicator in confluence with your own manual technical analysis or other indicators/strategies you are already using and are comfortable with.
A good part is the support/resistance lines from timeframe to timeframe pictures the whole situation quite well, you can use lower timeframe to find your entry/exit positions and higher timeframe to find your key support/resistance points, they all should be somewhat in confluence from timeframe to timeframe anyways. My recommendation would be to look at 1HR, 4HR and 1D charts for swing trading and 5-15 Min for quick scalping/day trading
You should still probably at least take a look to higher timeframes so that you don't get burned when you realize there is a huge resistance line at price XXXXX on the 4 hour chart but you're expecting it to go above it on the 5 minute chart, it can go above it temporarily but we analyze everything on a closing basis so it most likely won't close above it. Again don't take a position or FOMO when price breaks a support/resistance line, we're looking for a CLOSE above/below them and a retest to see if S/R flip happened would even be better.
Sometimes the most outer line won't be the 4.236 (Yellow) lines as when it gets quite volatile the Thinner Upper/Lower Green/Red Lines (VIDYA +3, VIDYA-3) might cross them to be the most outer line, in this case i have observed that the trend is extremely strong this time price almost always doesn't go above or below the VIDYA line but can stay outside of the Yellow 4.236 Fib line for an extended amount of time (price will still get back inside the channel relatively quickly, just not as fast as the normal condition)
With Proper Risk Management and Discipline this indicator can be of great use to you as it's surprisingly successful especially at mean reversion and pointing out the support/resistance lines, they are so much more successful than your average MA/EMA lines. Indicator
