REMS First Strike OverlayThe REMS First Strike indicator is a multi-factor, confluence-based system that combines momentum (RSI, Stochastic RSI), trend (EMA, MACD), and optional filters (volume, MACD histogram, session time) to identify high-probability trade setups. Signals are only triggered when all enabled conditions align, giving the trader a filtered, visually clear entry signal.
This indicator uses an optional 'cool down' feature where in it will signal an entry only after any of the specified cross events occur.
To use the indicator, select which technical indicators you wish to filter, the session you wish to apply (default is 9:30am - 4pm EST, based on your chart time settings), and if which cross events you wish to trigger a reset on the cooldown.
The default settings filter the 4 major technical indicators (RSI, EMAs, MACD, Stochastic RSI) but optional filters exist to further fine tune Stochastic Range, MACD momentum and strength, and volume, with optional visual cues for MACD position, Stochastic RSI position, and volume.
EMAs can be drawn on the chart from this indicator with optional shaded background.
This indicator is an alternative to REMS Snap Shot, which uses a recency filter instead of a cool down.
在腳本中搜尋"momentum"
Dynamic Value Zone Oscillator (DVZO) - @CRYPTIK1Dynamic Value Zone Oscillator (DVZO) @CRYPTIK1
Introduction: What is the DVZO?
The Dynamic Value Zone Oscillator (DVZO) is a powerful momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI or Stochastics, the DVZO measures the current price relative to a significant, higher-timeframe Value Zone (e.g., the previous week's entire price range).
This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, "Where is the current price in relation to its recently established area of value?"
This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, leading to higher-probability reversal and trend-following signals.
The Core Concept: Price vs. Value
The market is constantly trying to find equilibrium or "fair value." The DVZO is built on the principle that the high and low of a significant prior period (like the previous day, week, or month) create a powerful area of perceived value.
The Value Zone: The range between the high and low of the selected higher timeframe. The midpoint of this zone is the equilibrium (0 line on the oscillator).
Premium Territory (Distribution Zone): When price breaks above the Value Zone High (+100 line), it is trading at a premium. This is an area where sellers are more likely to become active and buyers may be over-extending.
Discount Territory (Accumulation Zone): When price breaks below the Value Zone Low (-100 line), it is trading at a discount. This is an area where buyers are more likely to see value and sellers may be exhausted.
By anchoring its analysis to these significant structural levels, the DVZO filters out much of the noise from lower-timeframe price fluctuations.
Key Features
The Oscillator:
The main blue line visualizes exactly where the current price is within the context of the Value Zone.
+100: The high of the Value Zone.
0: The midpoint/equilibrium of the Value Zone.
-100: The low of the Value Zone.
Automatic Divergence Detection:
The DVZO automatically identifies and plots bullish and bearish divergences on both the price chart and the oscillator itself.
Bullish Divergence: Price makes a new low, but the DVZO makes a higher low. This is a strong signal that downside momentum is fading and a reversal to the upside is likely.
Bearish Divergence: Price makes a new high, but the DVZO makes a lower high. This indicates that upside momentum is waning and a pullback is probable.
Value Migration Histogram:
The purple histogram in the background visualizes the width of the Value Zone.
Expanding Histogram: Volatility is increasing, and the accepted value range is getting wider.
Contracting Histogram: Volatility is decreasing, and the price is coiling in a tight range, often in anticipation of a major breakout.
How to Use the DVZO: Trading Strategies
1. Reversion Trading
This is the most direct way to use the indicator.
Look for Buys: When the DVZO line drops below -100, the price is in the "Accumulation Zone." Wait for the price to show signs of strength (e.g., a bullish candle pattern) and the DVZO line to start turning back up towards the -100 level. This is a high-probability mean reversion setup.
Look for Sells: When the DVZO line moves above +100, the price is in the "Distribution Zone." Look for signs of weakness (e.g., a bearish engulfing candle) and the DVZO line to start turning back down towards the +100 level.
2. Divergence Trading
Divergences are powerful confirmation signals.
Entry Signal: When a Bullish Divergence appears, it provides a strong entry signal for a long position, especially if it occurs within the Accumulation Zone (below -100).
Exit/Short Signal: When a Bearish Divergence appears, it can serve as a signal to take profit on long positions or to look for a short entry, especially if it occurs in the Distribution Zone (above +100).
3. Best Practices & Settings
Timeframe Synergy: The DVZO is most effective when your chart timeframe is lower than your selected Value Zone Source.
For Day Trading (e.g., 1H, 4H chart): Use the "Previous Day" Value Zone.
For Swing Trading (e.g., 1D, 12H chart): Use the "Previous Week" or "Previous Month" Value Zone.
Confirmation is Key: The DVZO is a powerful tool, but it should not be used in isolation. Always combine its signals with other forms of analysis, such as market structure, support/resistance levels, and candlestick patterns, for confirmation.
All Time High & All Time Low + 52-Week (ATH & ATL) | by Octopu$🚀 All Time High & All Time Low (ATH & ATL) + 52-Week with % and $ Info| by Octopu$
What is a 52-week, ATH or ATL?
52-Week High
The highest price a stock has traded at in the past 52 weeks (Approx. 1 year).
Acts like a “short-term ATH.” Many traders and investors use it as a momentum signal — breaking above it shows strength. Often used by screeners (“Stocks near 52-week high”).
IF a Ticker highest price in the last year is $500, and it’s currently trading at $555, it just made a new 52-week high (but not necessarily an all-time high).
52-Week Low
The lowest price a stock has traded at in the past 52 weeks (Approx. 1 year).
Acts like a “short-term ATL.” Traders watch it for breakdowns, and long-term investors watch it for potential bargains/buy the dip. Also important for risk management and Stop Losses.
IF a Ticker lowest price in the last year was $100, and it falls to $88, it just made a new 52-week low (but not necessarily an all-time low).
ATH (All-Time High)
The highest price a stock (or index, crypto, etc...) has EVER reached in its entire trading history.
Shows maximum bullish strength. When price breaks to a new ATH, there is no overhead resistance → often leads to strong momentum rallies. Also used as a psychological level in case of resistance/breakout.
ATL (All-Time Low)
The lowest price a stock (or asset) has EVER traded at since it began trading.
Reflects maximum bearish weakness. Breaking below the ATL is dangerous (no historical support below). Often associated with companies in crisis or risk of delisting. Or simply crashers or faders, whatever slang you may call it. Generally heavily shorted.
EXAMPLE:
AMEX:SPY
www.tradingview.com
This indicator however should not be used as a standalone tool.
(The combination of factors relies on your own knowledge about Confluence Factors along with your Due Diligence)
This indicator is not an advice to buy or sell securities in any form.
ANY Ticker. ANY Timeframe.
Features:
• 52-Week High
• 52-Week Low
• ALL Time High
• ALL Time Low
• $ Value Difference (of Current Price)
• % Percentage Difference (of Current Price)
Options:
• Customization
• Toggles
Notes:
v1.0
Indicator release.
Changes and updates can come in the future for additional functionalities or per requests. Follow and Stay Tuned!
Did you like it? Please Support and Shoot me a message! I'd appreciate if you dropped by to say thanks! Thank you.
- Octopu$
🐙
Smart Money SignalsSmart Money Signals – Market Flow & Structure Visualizer
Overview
Smart Money Signals is a precision trading tool designed for traders who want to see market structure and momentum flow in real time. By detecting pivots, momentum imbalances, and dynamic support/resistance levels, the indicator transforms raw price action into a clear visual narrative of where capital is entering and exiting the market.
Instead of lagging averages or cluttered signals, Smart Money Signals highlights the moments that matter most—where bullish and bearish flows are confirmed, where support or resistance breaks, and where momentum zones show the true battleground between buyers and sellers. Its adaptive design makes it equally effective for scalpers seeking sharp entries, swing traders tracking reversals, and longer-term traders looking for confirmation of bias.
How It Works
The engine behind Smart Money Signals relies on swing detection and a configurable sensitivity filter. By monitoring directional momentum across recent bars, the system identifies bullish pivots (where downside exhaustion flips into strength) and bearish pivots (where upward thrust collapses into weakness).
When price confirms a pivot, the indicator draws flow lines to mark the breakout and labels them as either continuation or reversal events, depending on existing market bias. Momentum zones are automatically plotted, highlighting the critical areas where buyers defended price or sellers pressed it lower.
Dynamic support and resistance levels extend forward in time, updating live as price develops. These zones change color when broken, visually signaling whether structure has held or failed. Gradient background shading further emphasizes moments of extreme momentum, such as overbought or oversold surges, so that traders instantly see when market pressure intensifies.
Signals and Market Flows
Smart Money Signals provides visual cues that are both intuitive and actionable:
📈 Bullish Flow Signals appear when price breaks above a confirmed pivot, signaling continuation or reversal into strength.
📉 Bearish Flow Signals appear when price breaks below a confirmed pivot, indicating continuation or reversal into weakness.
Momentum Zones highlight the defended areas between pivots, giving traders a visual map of where structure is strongest.
Dynamic Support & Resistance lines extend across the chart, shifting from defense to failure when broken, ensuring that the most relevant levels are always visible.
Break Signals mark the exact bar where key levels give way, confirming structural violations in real time.
By filtering out noise and focusing on meaningful flow events, the system helps traders avoid overreaction and focus only on high-probability structural shifts.
Strategy Integration
Smart Money Signals is versatile across trading styles:
Trend Continuation : Enter in the direction of flow signals, using dynamic zones as both confirmation and stop-loss placement.
Reversal Trading : Watch for pivots tagged as reversal points, where market bias flips and new structure is created.
Momentum Zone Entries : Use the automatically drawn zones to identify low-risk entries on pullbacks or retests.
Bias Alignment : The integrated dashboard reveals the current market bias—bullish, bearish, or neutral—helping traders stay aligned with the dominant flow.
Stop-losses can be positioned beyond the dynamic zone on the opposite side, while take-profits may be guided by the width of zones or momentum-driven extensions. On higher timeframes, the indicator provides context for macro structure, while lower timeframes allow for tactical entry refinement.
Advanced Techniques
Traders seeking deeper precision can combine Smart Money Signals with volume or order flow tools to validate pivots and zone defenses. Monitoring the sequence of bullish and bearish flows helps identify trend maturity, while analyzing the success rate of pivots in the analytics panel builds a data-driven approach to confidence in signals.
Adjusting swing period and sensitivity allows the indicator to adapt to different market conditions, from volatile crypto pairs to steady forex majors. The flexible visual themes—Cyber, Ocean, Sunset, Matrix—ensure readability across setups, while gradient shading keeps the chart intuitive even under fast-moving conditions.
Why Use Smart Money Signals
Markets are driven by liquidity, momentum, and structure. Smart Money Signals uncovers these forces by translating price action into a clear visual map of flow. It shows:
Where structure was built.
Where it was defended.
Where it was broken.
And where momentum is likely to carry next.
By combining flow detection, dynamic zones, and a live analytics dashboard, the indicator provides traders with a complete framework for reading price action in real time.
Whether you trade crypto, forex, or indices, Smart Money Signals adapts seamlessly to any asset class, giving you clarity, precision, and confidence to execute without second-guessing.
OctaScalp Precision Pro [By TraderMan]What is OctaScalp Precision Pro ? 🚀
OctaScalp Precision is a powerful scalping indicator designed for fast, short-term trades. It combines eight technical indicators to generate 💪 high-accuracy buy 📗 and sell 📕 signals. Optimized for scalpers, this tool targets small price movements in low timeframes (1M, 5M). With visual lines 📈, labels 🎯, and Telegram alerts 📬, it simplifies quick decision-making, enhances risk management, and tracks trade performance.
What Does It Do? 🎯
Fast Signals: Produces reliable buy/sell signals using a consensus of eight indicators.
Risk Management: Offers automated Take Profit (TP) 🟢 and Stop Loss (SL) 🔴 levels with a 2:1 reward/risk ratio.
Trend Confirmation: Validates short-term trends with a 30-period EMA zone.
Performance Tracking: Records trade success rates (%) and the last 5 trades 📊.
User-Friendly: Displays market strength, signal type, and trade details in a top-right table.
Alerts: Sends Telegram-compatible notifications for new positions and trade results 📲.
How Does It Work? 🛠️
OctaScalp Precision integrates eight technical indicators (RSI, MACD, Stochastic, Momentum, 200-period EMA, Supertrend, CCI, OBV) for robust analysis. Each indicator contributes 0 or 1 point to a bullish 📈 or bearish 📉 score (max 8 points). Signals are generated as follows:
Buy Signal 📗: Bullish score ≥6 and higher than bearish score.
Sell Signal 📕: Bearish score ≥6 and higher than bullish score.
EMA Zone 📏: A zone (default 0.1%) around a 30-period EMA confirms trends. Price staying above or below the zone for 4 bars validates the direction:
Up Direction: Price above zone, color green 🟢.
Down Direction: Price below zone, color red 🔴.
Neutral: Price within zone, color gray ⚪.
Entry/Exit: Entries are triggered on new signals, with TP (2% profit) and SL (1% risk) auto-calculated.
Table & Alerts: Displays market strength (% bull/bear), signal type, entry/TP/SL, and success rate in a table. Telegram alerts provide instant notifications.
How to Use It? 📚
Setup 🖥️:
Add the indicator to TradingView and use default settings or customize (EMA length, zone width, etc.).
Best for low timeframes (1M, 5M).
Signal Monitoring 🔍:
Check the table: Bull Strength 📗 and Bear Strength 📕 percentages indicate signal reliability.
Confirm Buy (📗 BUY) or Sell (📕 SELL) signals when trendSignal is 1 or -1.
Entering a Position 🎯:
Buy: trendSignal = 1, bullish score ≥6, and higher than bearish score, enter at the entry price.
Sell: trendSignal = -1, bearish score ≥6, and higher than bullish score, enter at the entry price.
TP and SL: Follow the green (TP) 🟢 and red (SL) 🔴 lines on the chart.
Exiting 🏁:
If price hits TP, trade is marked ✅ successful; if SL, marked ❌ failed.
Results are shown in the “Last 5 Trades” 📜 section of the table.
Setting Alerts 📬:
Enable alerts in TradingView. Receive Telegram notifications for new positions and trade outcomes.
Position Entry Strategy 💡
Entry Conditions:
For Buy: Bullish score ≥6, trendSignal = 1, price above EMA zone 🟢.
For Sell: Bearish score ≥6, trendSignal = -1, price below EMA zone 🔴.
Check bull/bear strength in the table (70%+ is ideal for strong signals).
Additional Confirmation:
Use on high-volume assets (e.g., BTC/USD, EUR/USD).
Validate signals with support/resistance levels.
Be cautious in ranging markets; false signals may increase.
Risk Management:
Stick to the 2:1 reward/risk ratio (TP 2%, SL 1%).
Limit position size to 1-2% of your account.
Tips and Recommendations 🌟
Best Markets: Ideal for volatile markets (crypto, forex) and low timeframes (1M, 5M).
Settings: Adjust EMA length (default 30) or zone width (0.1%) based on the market.
Backtesting: Test on historical data to evaluate success rate 📊.
Discipline: Follow signals strictly and avoid emotional decisions.
OctaScalp Precision makes scalping fast, precise, and reliable! 🚀
TMO of Relative StrengthThis indicator shows 3 TMOs, one for the charted symbol, one for a chosen index symbol, and one for the relative strength ratio of the 2 symbols.
While a normal TMO measures momentum of a stock, this indicator measures the subtle momentum shifts that happen in the relative strength ratio of the stock , which can sometimes happen before the momentum of the stock itself shifts. This provides the potential for an early warning that a move may be about to begin, even before the stock price starts heading in one direction.
Many traders watch relative strength ratio charts to see when a stock begins to outperform the index. This indicator doesn't measure the relative or comparative strength ratio itself, but instead measures the change in momentum of relative strength .
Signals and alerts are provided for when the Ratio's TMO line crosses above/below the Stock's TMO line, or the Market Index's TMO line, and also for when the Stock's TMO line crosses above/below the Market's TMO line even if the ratio isn't crossing currently. Also alerts when the Ratio or Stock TMO lines cross their prior values.
I created a version of this for Thinkorswim originally and it has been valuable to me and my clients, so I hope it provides value here as well.
-Josiah
VIX Filter/RSI/EMA Bias/Cum-TICK w/ Exhaustion Zone DashboardThis all-in-one dashboard gives intraday traders a real-time visual read of market conditions, combining volatility regime, trend bias, momentum exhaustion, and internal strength — all in a fully customizable overlay that won’t clutter your chart.
📉 VIX Market Regime Detector
Identifies "Weak", "Normal", "Volatile", or "Danger" market states based on customizable VIX ranges and symbol (e.g., VXN or VIX).
📊 RSI Momentum Readout
Displays real-time RSI from any selected timeframe or symbol, with adjustable length, OB/OS thresholds, and color-coded exhaustion alerts.
📈 EMA Trend Bias Scanner
Compares fast and slow EMAs to define bullish or bearish bias, using your preferred timeframe, symbol, and EMA lengths — ideal for multi-timeframe setups.
🧠 Cumulative TICK Pressure & Exhaustion Engine
Analyzes internal market strength using cumulative TICK data to classify conditions as:
-Strong / Mild Bullish or Bearish Pressure
-Choppy / No Edge
-⚠️ Exhaustion Zones — when raw TICK values hit extreme highs/lows, a separate highlight box appears in the dashboard, warning of potential turning points
All logic is customizable, including TICK symbol, timeframes, thresholds, and lookback periods.
Scalpers and day traders who want fast, visual insight into market internals, exhaustion, and trend bias.
PRO Investing - Apex EnginePRO Investing - Apex Engine
1. Core Concept: Why Does This Indicator Exist?
Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static.
The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action.
This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines:
Volatility analysis (ATR) to generate adaptive lookback periods.
Momentum measurement (ROC) to gauge the speed of price changes.
Statistical analysis (Correlation) to validate which momentum measurement is most effective right now.
Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions.
The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal.
2. How It Works: The Engine's Three-Stage Process
To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal.
Stage 1: Adapt (Dynamic Length Calculation)
The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len.
Stage 2: Validate (Self-Optimizing Mode Selection)
This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard.
Stage 3: Signal (Normalized Velocity Oscillator)
The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light.
3. How to Use the Indicator: A Practical Guide
Reading the Visuals:
Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow).
Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals.
Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align.
Background Color (Green/Red/Gray): This is your trend context.
Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear.
Red: Bearish trend confirmed. Only Sell signals (▼) can appear.
Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out.
Trading Strategy Example:
Wait for a colored background. A green or red background indicates the market is in a tradable trend.
Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear.
Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns).
Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears.
4. Settings and Customization
This script is open-source, and its settings are transparent. You are encouraged to understand them.
Synaptic Engine Group:
Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable.
Optimization Lookback: How many bars to use for the correlation check.
Switch Sensitivity: A buffer to prevent frantic switching between modes.
Advanced Configuration & Filters Group:
Price Source: The data source for momentum calculation (default close).
Trend Filter MA Type & Length: Define your long-term trend.
Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA.
ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold.
5. Important Disclaimer
This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
Future is hereOverview
"Future is Here" is an original, multi-faceted Pine Script indicator designed to provide traders with a comprehensive toolset for identifying high-probability trading opportunities. By integrating volatility-based entry zones, trend-based price targets, momentum confirmation, dynamic support/resistance levels, and risk-reward ratio (RRR) calculations, this indicator offers a cohesive and actionable trading framework. Each feature is carefully designed to complement the others, ensuring a synergistic approach that enhances decision-making across various market conditions. This script is unique in its ability to combine these elements into a single, streamlined interface with clear visual cues and customizable alerts, making it suitable for both novice and experienced traders.
Key Features and How They Work Together
Volatility-Based Entry Zones
Purpose: Identifies overbought and oversold conditions using a volatility-adjusted moving average, helping traders spot potential reversal zones.
Mechanism: Utilizes a user-defined volatility length and multiplier to calculate dynamic overbought/oversold thresholds based on the standard deviation of price. Crossovers and crossunders of these levels trigger "Buy Zone" or "Sell Zone" labels.
Synergy: These zones act as the foundation for entry signals, which are later confirmed by momentum and trend filters to reduce false signals.
Trend-Based Price Targets
Purpose: Projects potential price targets based on the prevailing trend, giving traders clear objectives for profit-taking.
Mechanism: Combines a fast and slow moving average to determine trend direction, then calculates target prices using a multiplier of the price deviation from the slow MA. Labels display bullish or bearish targets when the fast MA crosses the slow MA.
Synergy: Works in tandem with entry zones and momentum signals to align targets with market conditions, ensuring traders aim for realistic price levels supported by trend strength.
Momentum Confirmation
Purpose: Validates entry signals by assessing momentum strength, filtering out weak setups.
Mechanism: Uses the momentum indicator to detect bullish or bearish momentum crossovers, labeling them as "Strong" or "Weak" based on a comparison with a smoothed momentum average.
Synergy: Enhances the reliability of buy/sell signals by ensuring momentum aligns with volatility zones and trend direction, reducing the risk of premature entries.
Dynamic Support/Resistance Levels
Purpose: Highlights key price levels where the market is likely to react, aiding in trade planning and risk management.
Mechanism: Detects pivot highs and lows over a user-defined lookback period, drawing horizontal lines for the most recent support and resistance levels (limited to two each for clarity). Labels mark these levels with price values.
Synergy: Complements entry zones and price targets by providing context for potential reversal or continuation points, helping traders set logical stop-losses or take-profits.
Buy/Sell Signals with Risk-Reward Ratios
Purpose: Generates precise buy/sell signals with integrated take-profit (TP), stop-loss (SL), and RRR calculations for disciplined trading.
Mechanism: Combines volatility zone crossovers, trend confirmation, and positive momentum to trigger signals. ATR-based TP and SL levels are calculated, and the RRR is displayed in labels for quick assessment.
Synergy: This feature ties together all previous components, ensuring signals are only generated when volatility, trend, and momentum align, while providing clear risk-reward metrics for trade evaluation.
Customizable Alerts
Purpose: Enables traders to stay informed of trading opportunities without constant chart monitoring.
Mechanism: Alert conditions are set for buy and sell signals, delivering notifications with the entry price for seamless integration into trading workflows.
Synergy: Enhances usability by allowing traders to act on high-probability setups identified by the indicator’s combined logic.
Originality
"Future is Here" is an original creation that distinguishes itself through its holistic approach to technical analysis. Unlike single-purpose indicators, it integrates volatility, trend, momentum, and support/resistance into a unified system, reducing the need for multiple scripts. The inclusion of RRR calculations directly in signal labels is a unique feature that empowers traders to evaluate trade quality instantly. The script’s design emphasizes clarity and efficiency, with cooldowns to prevent label clutter and a limit on support/resistance lines to maintain chart readability. This combination of features, along with its customizable parameters, makes it a versatile and novel tool for traders seeking a robust, all-in-one solution.
How to Use
Setup: Add the indicator to your TradingView chart and adjust input parameters (e.g., Volatility Length, Trend Length, TP/SL Multipliers) to suit your trading style and timeframe.
Interpretation:
Look for "Buy Zone" or "Sell Zone" labels to identify potential entry points.
Confirm entries with "Bull Mom" or "Bear Mom" labels and trend direction (Bull/Bear Target labels).
Use Support/Resistance lines to set logical TP/SL levels or anticipate reversals.
Evaluate Buy/Sell signals with TP, SL, and RRR for high-probability trades.
Alerts: Set up alerts for Buy/Sell signals to receive real-time notifications.
Customization: Fine-tune multipliers and lengths to adapt the indicator to different markets (e.g., stocks, forex, crypto) or timeframes.
Uptrick: Universal Z-Score ValuationOverview
The Uptrick: Universal Z-Score Valuation is a tool designed to help traders spot when the market might be overreacting—whether that’s on the upside or the downside. It does this by combining the Z-scores of multiple key indicators into a single average, letting you see how far the current market conditions have stretched away from “normal.” This average is shown as a smooth line, supported by color-coded visuals, signal markers, optional background highlights, and a live breakdown table that shows the contribution of each indicator in real time. The focus here is on spotting potential reversals, not following trends. The indicator works well across all timeframes and asset classes, from fast intraday charts like the 1-minute and 5-minute, to higher timeframes such as the 4-hour, daily, or even weekly. Its universal design makes it suitable for any market — whether you're trading crypto, stocks, forex, or commodities.
Introduction
To understand what this indicator does, let’s start with the idea of a Z-score. In simple terms, a Z-score tells you how far a number is from the average of its recent history, measured in standard deviations. If the price of an asset is two standard deviations above its mean, that means it’s statistically “rare” or extended. That doesn’t guarantee a reversal—but it suggests the move is unusual enough to pay attention.
This concept isn’t new, but what this indicator does differently is apply the Z-score to a wide set of market signals—not just price. It looks at momentum, volatility, volume, risk-adjusted performance, and even institutional price baselines. Each of those indicators is normalized using Z-scores, and then they’re combined into one average. This gives you a single, easy-to-read line that summarizes whether the entire market is behaving abnormally. Instead of reacting to one indicator, you’re reacting to a statistically balanced blend.
Purpose
The goal of this script is to catch turning points—places where the market may be topping out or bottoming after becoming overstretched. It’s built for traders who want to fade sharp moves rather than follow trends. Think of moments when price explodes upward and starts pulling away from every moving average, volume spikes, volatility rises, and RSI shoots up. This tool is meant to spot those situations—not just when price is stretched, but when multiple different indicators agree that something is overdone.
Originality and Uniqueness
Most indicators that use Z-scores only apply them to one thing—price, RSI, or maybe Bollinger Bands. This one is different because it treats each indicator as a contributor to the full picture. You decide which ones to include, and the script averages them out. This makes the tool flexible but also deeply informative.
It doesn’t rely on complex or hidden math. It uses basic Z-score formulas, applies them to well-known indicators, and shows you the result. What makes it unique is the way it brings those signals together—statistically, visually, and interactively—so you can see what’s happening in the moment with full transparency. It’s not trying to be flashy or predictive. It’s just showing you when things have gone too far, too fast.
Inputs and Parameters
This indicator includes a wide range of configurable inputs, allowing users to customize which components are included in the Z-score average, how each indicator is calculated, and how results are displayed visually. Below is a detailed explanation of each input:
General Settings
Z-Score Lookback (default: 100): Number of bars used to calculate the mean and standard deviation for Z-score normalization. Larger values smooth the Z-scores; smaller values make them more reactive.
Bar Color Mode (default: None): Determines how bars are visually colored. Options include: None: No candle coloring applied. - Heat: Smooth gradient based on the Z-score value. - Latest Signal: Applies a solid color based on the most recent buy or sell signal
Boolean - General
Plot Universal Valuation Line (default: true): If enabled, plots the average Z-score (zAvg) line in the separate pane.
Show Signals (default: true): Displays labels ("𝓤𝓹" for buy, "𝓓𝓸𝔀𝓷" for sell) when zAvg crosses above or below user-defined thresholds.
Show Z-Score Table (default: true): Displays a live table listing each enabled indicator's Z-score and the current average.
Select Indicators
These toggles enable or disable each indicator from contributing to the Z-score average:
Use VWAP Z-Score (default: true)
Use Sortino Z-Score (default: true)
Use ROC Z-Score (default: true)
Use Price Z-Score (default: true)
Use MACD Histogram Z-Score (default: false)
Use Bollinger %B Z-Score (default: false)
Use Stochastic K Z-Score (default: false)
Use Volume Z-Score (default: false)
Use ATR Z-Score (default: false)
Use RSI Z-Score (default: false)
Use Omega Z-Score (default: true)
Use Sharpe Z-Score (default: true)
Only enabled indicators are included in the average. This modular design allows traders to tailor the signal mix to their preferences.
Indicator Lengths
These inputs control how each individual indicator is calculated:
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Bollinger Basis Length (default: 20): Used to compute the Bollinger %B.
Bollinger Deviation Multiplier (default: 2.0): Standard deviation multiplier for the Bollinger Band calculation.
Stochastic Length (default: 14)
ATR Length (default: 14)
RSI Length (default: 14)
ROC Length (default: 10)
Zones
These thresholds define key signal levels for the Z-score average:
Neutral Line Level (default: 0): Baseline for the average Z-score.
Bullish Zone Level (default: -1): Optional intermediate zone suggesting early bullish conditions.
Bearish Zone Level (default: 1): Optional intermediate zone suggesting early bearish conditions.
Z = +2 Line Level (default: 2): Primary threshold for bearish signals.
Z = +3 Line Level (default: 3): Extreme bearish warning level.
Z = -2 Line Level (default: -2): Primary threshold for bullish signals.
Z = -3 Line Level (default: -3): Extreme bullish warning level.
These zone levels are used to generate signals, fill background shading, and draw horizontal lines for visual reference.
Why These Indicators Were Merged
Each indicator in this script was chosen for a specific reason. They all measure something different but complementary.
The VWAP Z-score helps you see when price has moved far from the volume-weighted average, often used by institutions.
Sortino Ratio Z-score focuses only on downside risk, which is often more relevant to traders than overall volatility.
ROC Z-score shows how fast price is changing—strong momentum may burn out quickly.
Price Z-score is the raw measure of how far current price has moved from its mean.
RSI Z-score shows whether momentum itself is stretched.
MACD Histogram Z-score captures shifts in trend strength and acceleration.
%B (Bollinger) Z-score indicates how close price is to the upper or lower volatility envelope.
Stochastic K Z-score gives a sense of how high or low price is relative to its recent range.
Volume Z-score shows when trading activity is unusually high or low.
ATR Z-score gives a read on volatility, showing if price movement is expanding or contracting.
Sharpe Z-score measures reward-to-risk performance, useful for evaluating trend quality.
Omega Z-score looks at the ratio of good returns to bad ones, offering a more nuanced view of efficiency.
By normalizing each of these using Z-scores and averaging only the ones you turn on, the script creates a flexible, balanced view of the market’s statistical stretch.
Calculations
The core formula is the standard Z-score:
Z = (current value - average) / standard deviation
Every indicator uses this formula after it’s calculated using your chosen settings. For example, RSI is first calculated as usual, then its Z-score is calculated over your selected lookback period. The script does this for every indicator you enable. Then it averages those Z-scores together to create a single value: zAvg. That value is plotted and used to generate visual cues, signals, table values, background color changes, and candle coloring.
Sequence
Each selected indicator is calculated using your custom input lengths.
The Z-score of each indicator is computed using the shared lookback period.
All active Z-scores are added up and averaged.
The resulting zAvg value is plotted as a line.
Signal conditions check if zAvg crosses user-defined thresholds (default: ±2).
If enabled, the script plots buy/sell signal labels at those crossover points.
The candle color is updated using your selected mode (heatmap or signal-based).
If extreme Z-scores are reached, background highlighting is applied.
A live table updates with each individual Z-score so you know what’s driving the signal.
Features
This script isn’t just about stats—it’s about making them usable in real time. Every feature has a clear reason to exist, and they’re all there to give you a better read on market conditions.
1. Universal Z-Score Line
This is your primary reference. It reflects the average Z-score across all selected indicators. The line updates live and is color-coded to show how far it is from neutral. The further it gets from 0, the brighter the color becomes—cyan for deeply oversold conditions, magenta for overbought. This gives you instant feedback on how statistically “hot” or “cold” the market is, without needing to read any numbers.
2. Signal Labels (“𝓤𝓹” and “𝓓𝓸𝔀𝓷”)
When the average Z-score drops below your lower bound, you’ll see a "𝓤𝓹" label below the bar, suggesting potential bullish reversal conditions. When it rises above the upper bound, a "𝓓𝓸𝔀𝓷" label is shown above the bar—indicating possible bearish exhaustion. These labels are visually clear and minimal so they don’t clutter your chart. They're based on clear crossover logic and do not repaint.
3. Real-Time Z-Score Table
The table shows each indicator's individual Z-score and the final average. It updates every bar, giving you a transparent breakdown of what’s happening under the hood. If the market is showing an extreme average score, this table helps you pinpoint which indicators are contributing the most—so you’re not just guessing where the pressure is coming from.
4. Bar Coloring Modes
You can choose from three modes:
None: Keeps your candles clean and untouched.
Heat: Applies a smooth gradient color based on Z-score intensity. As conditions become more extreme, candle color transitions from neutral to either cyan (bullish pressure) or magenta (bearish pressure).
Latest Signal: Applies hard coloring based on the most recent signal—greenish for a buy, purple for a sell. This mode is great for tracking market state at a glance without relying on a gradient.
Every part of the candle is colored—body, wick, and border—for full visibility.
5. Background Highlighting
When zAvg enters an extreme zone (typically above +2 or below -2), the background shifts color to reflect the market’s intensity. These changes aren’t overwhelming—they’re light fills that act as ambient warnings, helping you stay aware of when price might be reaching a tipping point.
6. Customizable Zone Lines and Fills
You can define what counts as neutral, overbought, and oversold using manual inputs. Horizontal lines show your thresholds, and shaded regions highlight the most extreme zones (+2 to +3 and -2 to -3). These lines give you visual structure to understand where price currently stands in relation to your personal reversal model.
7. Modular Indicator Control
You don’t have to use all the indicators. You can enable or disable any of the 12 with a simple checkbox. This means you can build your own “blend” of market context—maybe you only care about RSI, price, and volume. Or maybe you want everything on. The script adapts accordingly, only averaging what you select.
8. Fully Customizable Sensitivity and Lengths
You can adjust the Z-score lookback length globally (default 100), and tweak individual indicator lengths separately. This lets you tune the indicator’s responsiveness to suit your trading style—slower for longer swings, faster for scalping.
9. Clean Integration with Any Chart Layout
All visual elements are designed to be informative without taking over your chart. The coloring is soft but clear, the labels are readable without being huge, and you can turn off any feature you don’t need. The indicator can work as a full dashboard or as a simple line with a couple of alerts—it’s up to you.
10. Precise, Real-Time Signal Logic
The crossover logic for signals is exact and only fires when the Z-score moves across your defined boundary. No estimation, no delay. Everything is calculated based on current and previous bar data, and nothing repaints or back-adjusts.
Conclusion
The Universal Z-Score Valuation indicator is a tool for traders who want a clear, unbiased way to detect overextension. Instead of relying on a single signal, you get a composite of several market perspectives—momentum, volatility, volume, and more—all standardized into a single view. The script gives you the freedom to control the logic, the visuals, and the components. Whether you use it as a confirmation tool or a primary signal source, it’s designed to give you clarity when markets become chaotic.
Disclaimer
This indicator is for research and educational use only. It does not constitute financial advice or guarantees of performance. All trading involves risk, and users should test any strategy thoroughly before applying it to live markets. Use this tool at your own discretion.
Volume Momentum [BackQuant]Volume Momentum
The Volume Momentum indicator is designed to help traders identify shifts in market momentum based on volume data. By analyzing the relative volume momentum, this indicator provides insights into whether the market is gaining strength (uptrend) or losing momentum (downtrend). The strategy uses a combination of percentile-based volume normalization, weighted moving averages (WMA), and exponential moving averages (EMA) to assess volume trends.
The system focuses on the relationship between price and volume, utilizing normalized volume data to highlight key market changes. This approach allows traders to focus on volume-driven price movements, helping them to capture momentum shifts early.
Key Features
1. Volume Normalization and Percentile Calculation:
The signed volume (positive when the close is higher than the open, negative when the close is lower) is normalized against the rolling average volume. This normalized volume is then subjected to a percentile interpolation, allowing for a robust statistical measure of how the current volume compares to historical data. The percentile level is customizable, with 50 representing the median.
2. Weighted and Smoothed Moving Averages for Trend Detection:
The normalized volume is smoothed using weighted moving averages (WMA) and exponential moving averages (EMA). These smoothing techniques help eliminate noise, providing a clearer view of the underlying momentum. The WMA filters out short-term fluctuations, while the EMA ensures that the most recent data points have a higher weight, making the system more responsive to current market conditions.
3. Trend Reversal Detection:
The indicator detects momentum shifts by evaluating whether the volume momentum crosses above or below zero. A positive volume momentum indicates a potential uptrend, while a negative momentum suggests a possible downtrend. These trend reversals are identified through crossover and crossunder conditions, triggering alerts when significant changes occur.
4. Dynamic Trend Background and Bar Coloring:
The script offers customizable background coloring based on the trend direction. When volume momentum is positive, the background is colored green, indicating a bullish trend. When volume momentum is negative, the background is colored red, signaling a bearish trend. Additionally, the bars themselves can be colored based on the trend, further helping traders quickly visualize market momentum.
5. Alerts for Momentum Shifts:
The system provides real-time alerts for traders to monitor when volume momentum crosses a critical threshold (zero), signaling a trend reversal. The alerts notify traders when the market momentum turns bullish or bearish, assisting them in making timely decisions.
6. Customizable Parameters for Flexible Usage:
Users can fine-tune the behavior of the indicator by adjusting various parameters:
Volume Rolling Mean: The period used to calculate the average volume for normalization.
Percentile Interpolation Length: Defines the range over which the percentile is calculated.
Percentile Level: Determines the percentile threshold (e.g., 50 for the median).
WMA and Smoothing Periods: Control the smoothing and response time of the indicator.
7. Trend Background Visualization and Trend-Based Bar Coloring:
The background fill is shaded according to whether the volume momentum is positive or negative, providing a visual cue to indicate market strength. Additionally, bars can be color-coded to highlight the trend, making it easier to see the trend’s direction without needing to analyze numerical data manually.
8. Note on Mean-Reversion Strategy:
If you take the inverse of the signals, this indicator can be adapted for a mean-reversion strategy. Instead of following the trend, the strategy would involve buying assets that are underperforming and selling assets that are overperforming, based on volume momentum. However, it’s important to note that this approach may not work effectively on highly correlated assets, as their price movements may be too similar, reducing the effectiveness of the mean-reversion strategy.
Final Thoughts
The Volume Momentum indicator offers a comprehensive approach to analyzing volume-based momentum shifts in the market. By using volume normalization, percentile interpolation, and smoothed moving averages, this system helps identify the strength and direction of market trends. Whether used for trend-following or adapted for mean-reversion, this tool provides traders with actionable insights into the market’s volume-driven movements, improving decision-making and portfolio management.
Precision Stochastic DivergenceThis indicator is designed to identify potential market turning points and continuations by detecting Regular and Hidden divergences between closing price action and the Stochastic momentum oscillator. It utilizes specific default parameters (Stochastic: 40,4,3; Pivot Lookback: 5,5 based on close) and incorporates specialized filtering logic for signal qualification.
Core Functionality & Features:
Divergence Detection: Identifies standard Regular (potential reversal) and Hidden (potential continuation) divergence patterns. Logic has been optimized for accurate detection of both types.
Precision Filter Mechanism (Regular Divergences): Employs a unique dual-level validation process:
Requires the initial pivot's Stochastic value (%D) to meet Overbought (>80) or Oversold (<20) criteria.
Requires the subsequent pivot's Stochastic value (%D) to reside within a precisely defined range (Default parameterization: Bullish 19-30, Bearish 70-81). This aims to filter divergences based on specific momentum conditions following an initial extreme reading.
Standard Filter (Hidden Divergences): Filters Hidden Divergence signals by requiring both associated Stochastic pivot values to remain outside the primary Overbought/Oversold zones (i.e., >20 for Bullish, <80 for Bearish).
Signal Plotting: Displays 'R' (Regular) and 'H' (Hidden) markers on the chart upon confirmation of filtered divergence conditions. Relevant Stochastic threshold levels and filter range boundaries are plotted for visual reference.
Configuration & Usage Notes:
Parameterization: The default settings (Stochastic: 40,4,3; Pivots: 5,5; Levels: 80/20; Ranges: 19-30 / 70-81) have been specifically calibrated. For optimal performance according to the intended methodology, modification of these core parameters is strongly discouraged.
EMA Filter: Note that EMA trend filtering functionality has been intentionally removed from this version of the indicator.
Applicable Timeframes: While adaptable, performance consistency has been observed on the Hourly (1H) timeframe. Lower intervals such as 6m and 10m are considered optimal secondary timeframes, with 5m and 15m also demonstrating viability depending on market conditions.
Instrument Applicability & Validation:
!!!WARNING FOR GOLD TRADERS!!!
Low time frame spot gold (xauusd) mysteriously proves to give more incorrect signals than every other asset I have tested although higher timeframes like hourlies still signal as intended. The reason MAY be because of not enough testing.
The underlying principle of Stochastic divergence is applicable to various instruments, including Cryptocurrencies (Bitcoin, Ethereum) and Major Indices (SP500, NASDAQ, etc.).
However, the efficiency of this indicator's specific parameterization is contingent upon the volatility profile and price dynamics of the selected instrument.
Mandatory Validation: Rigorous backtesting and/or simulated trading on the specific instrument and timeframe is imperative prior to live deployment. This validation is crucial to ascertain performance characteristics and confirm alignment with individual trading plans and risk management protocols.
By Matthew James
Disclaimer:
Trading involves substantial risk. This indicator serves as an analytical tool and does not constitute financial advice or a guarantee of future results. Users assume full responsibility for their trading decisions. Always employ robust risk management practices.
IDX - 5UPThe UDX-5UP is a custom indicator designed to assist traders in identifying trends, entry and exit signals, and market reversal moments with greater accuracy. It combines price analysis, volume, and momentum (RSI) to provide clear buy ("Buy") and sell ("Sell") signals across any asset and timeframe, whether you're a scalper on the 5M chart or a swing trader on the 4H chart. Inspired by robust technical analysis strategies, the UDX-5UP is ideal for traders seeking a reliable tool to operate in volatile markets such as cryptocurrencies, forex, stocks, and futures.
Components of the UDX-5UP
The UDX-5UP consists of three main panels that work together to provide a comprehensive view of the market:
Main Panel (Price):
Pivot Supertrend: A dynamic line that changes color to indicate the trend. Green for an uptrend (look for buys), red for a downtrend (look for sells).
SMAs (Simple Moving Averages): Two SMAs (8 and 21 periods) to confirm the trend direction. When the SMA 8 crosses above the SMA 21, it’s a bullish signal; when it crosses below, it’s a bearish signal.
Entry/Exit Signals: "Buy" (green) and "Sell" (red) labels are plotted on the chart when entry or exit conditions are met.
Volume Panel:
Colored Volume Bars: Green bars indicate dominant buying volume, while red bars indicate dominant selling volume.
Volume Moving Average (MA 20): A blue line that helps identify whether the current volume is above or below the average, confirming the strength of the movement.
RSI Panel:
RSI (Relative Strength Index): Calculated with a period of 14, with overbought (70) and oversold (30) lines to identify momentum extremes.
Divergences: The indicator detects divergences between the RSI and price, plotting signals for potential reversals.
How the UDX-5UP Works
The UDX-5UP uses a combination of rules to generate buy and sell signals:
Buy Signal ("Buy"):
The Pivot Supertrend changes from red to green.
The SMA 8 crosses above the SMA 21.
The volume is above the MA 20, with green bars (indicating buying pressure).
The RSI is rising and, ideally, below 70 (not overbought).
Example: On the 4H chart, the price of Tether (USDT) is at 0.05515. The Pivot Supertrend turns green, the SMA 8 crosses above the SMA 21, the volume shows green bars above the MA 20, and the RSI is at 46. The UDX-5UP plots a "Buy".
Sell Signal ("Sell"):
The Pivot Supertrend changes from green to red.
The SMA 8 crosses below the SMA 21.
The volume is above the MA 20, with red bars (indicating selling pressure).
The RSI is falling and, ideally, above 70 (overbought).
Example: On the 4H chart, the price of Tether rises to 0.05817. The Pivot Supertrend turns red, the SMA 8 crosses below the SMA 21, the volume shows red bars, and the RSI is above 70. The UDX-5UP plots a "Sell".
RSI Divergences:
The indicator identifies bullish divergences (price makes a lower low, but RSI makes a higher low) and bearish divergences (price makes a higher high, but RSI makes a lower high), plotting alerts for potential reversals.
Adjustable Settings
The UDX-5UP is highly customizable to suit your trading style:
Pivot Supertrend Period: Default is 2. Increase to 3 or 4 for more conservative signals (fewer false positives, but more lag).
SMA Periods: Default is 8 and 21. Adjust to 5 and 13 for smaller timeframes (e.g., 5M) or 13 and 34 for larger timeframes (e.g., 1D).
RSI Period: Default is 14. Reduce to 10 for greater sensitivity or increase to 20 for smoother signals.
Overbought/Oversold Levels: Default is 70/30. Adjust to 80/20 in volatile markets.
Display Panels: You can enable/disable the volume and RSI panels to simplify the chart.
How to Use the UDX-5UP
Identify the Trend:
Use the Pivot Supertrend and SMAs to determine the market direction. Uptrend: look for buys. Downtrend: look for sells.
Confirm with Volume and RSI:
For buys: Volume above the MA 20 with green bars, RSI rising and below 70.
For sells: Volume above the MA 20 with red bars, RSI falling and above 70.
Enter the Trade:
Enter a buy when the UDX-5UP plots a "Buy" and all conditions are aligned.
Enter a sell when the UDX-5UP plots a "Sell" and all conditions are aligned.
Plan the Exit:
Use Fibonacci levels or support/resistance on the price chart to set targets.
Exit the trade when the UDX-5UP plots an opposite signal ("Sell" after a buy, "Buy" after a sell).
Tips for Beginners
Start with Larger Timeframes: Use the 4H or 1D chart for more reliable signals and less noise.
Combine with Other Indicators: Use the UDX-5UP with tools like Fibonacci or the Candles RSI (another powerful indicator) to confirm signals.
Practice in Demo Mode: Test the indicator in a demo account before using real money.
Manage Risk: Always use a stop-loss and don’t risk more than 1-2% of your capital per trade.
Why Use the UDX-5UP?
Simplicity: Clear "Buy" and "Sell" signals make trading accessible even for beginners.
Versatility: Works on any asset (crypto, forex, stocks) and timeframe.
Multiple Confirmations: Combines price, volume, and momentum to reduce false signals.
Customizable: Adjust the settings to match your trading style.
Author’s Notes
The UDX-5UP was developed based on years of trading and technical analysis experience. It is an evolution of tested strategies, designed to help traders navigate volatile markets with confidence. However, no indicator is infallible. Always combine the UDX-5UP with proper risk management and fundamental analysis, especially in unpredictable markets. Feedback is welcome – leave a comment or reach out with suggestions for improvements!
Whale Activity Tracker Enhanced"Whale Activity Tracker Enhanced: Multi-Timeframe Adaptive Trading Signals"
Description:
The Whale Activity Tracker Enhanced (WAT+) is an innovative, multi-dimensional indicator designed to detect and visualize significant market moves likely driven by large players ("whales"). It combines volume analysis, price action, volatility, and momentum to provide traders with a comprehensive view of potential high-impact market events.
Key Features:
1. Adaptive Volume Spike Detection: Dynamically adjusts to market conditions, identifying unusual volume surges relative to recent activity.
2. Multi-Factor Confirmation: Combines volume spikes with price movements, RSI levels, and volatility measures for higher-probability signals.
3. Liquidity Grab Detection: Identifies potential stop-loss raids and liquidity sweeps through wick-to-body ratio analysis.
4. Customizable Signal Strength: Provides a visual representation of signal intensity, allowing traders to focus on the most significant events.
5. Flexible Timeframe Usage: Optimized settings for both scalp and swing trading, making it versatile across different trading styles.
How It Works:
- Volume Spike Analysis: Compares current volume to a user-defined multiple of the average volume.
- Price Move Threshold: Flags significant percentage price changes to filter out minor fluctuations.
- RSI Integration: Uses RSI to identify potential overbought/oversold conditions coinciding with other signals.
- Volatility Measurement: Incorporates ATR to detect periods of increased market volatility.
- Wick Analysis: Detects potential liquidity grabs by analyzing the ratio of candle wicks to bodies.
Originality:
Unlike standard volume or price action indicators, WAT+ synthesizes multiple market factors to provide a holistic view of potential whale activity. Its adaptive nature and customizable parameters allow it to work across various market conditions and trading styles.
Usage Guide:
1. Scalp Trading Setup:
- Use shorter lookback periods (12-15 bars) and tighter RSI levels (75/25).
- Focus on quick, high-probability trades triggered by volume spikes and price moves.
- Utilize the signal strength indicator for entry confirmation.
2. Swing Trading Setup:
- Extend lookback periods (20-30 bars) and use standard RSI levels (70/30).
- Look for sustained signals over multiple candles for trend confirmation.
- Combine with broader market trend analysis for higher-probability setups.
3. General Tips:
- Use the info panel to analyze the components of each signal.
- Adjust volume and price thresholds based on the specific asset's volatility.
- Combine with support/resistance levels for optimal entry and exit points.
By providing a multi-faceted approach to market analysis, the Whale Activity Tracker Enhanced empowers traders to identify and capitalize on significant market moves across various timeframes and trading styles.
Swing Trading Settings:
General Settings
Lookback Period: 20 to 30 bars. This provides a smoother signal and better context for swing trading.
Volume Spike Multiplier: 2.5 to 3.0. Higher thresholds ensure only significant volume spikes are considered.
Price Move % Threshold: 2.0 to 3.0%. Larger price move thresholds align with swing trading objectives.
RSI Period: 14 to 21. Longer periods smooth out short-term fluctuations.
RSI Overbought/Oversold Levels: 70/30. These levels work well for identifying potential reversals in swing trading.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: True (important for identifying strong trends)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: True (useful for detailed analysis of swing setups)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Parameters
ATR Period: 14 to 20. This helps identify volatility and set stop-loss levels.
Wick-to-Body Ratio: 2.0 or higher. This ensures only significant liquidity grabs are flagged.
Signal Strength Smoothing: 3 to 5 bars for steadier signals.
Scalp Trading:
General Settings
Lookback Period: 12 to 15 bars. This allows for a balance between responsiveness and noise reduction.
Volume Spike Multiplier: 2.0 to 2.2. This setting helps detect significant volume spikes without overreacting to minor fluctuations.
Price Move % Threshold: 1.0 to 1.2%. This captures substantial price movements suitable for scalp trading.
RSI Period: 7 to 9. Shorter periods provide quicker signals, ideal for scalp trading.
RSI Overbought/Oversold Levels: 75/25. Tighter levels help identify potential reversals sooner.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: False (optional, depends on market conditions)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: False (optional, for cleaner charts)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Tips
ATR Period: Keep it around 14 for volatility assessment.
Wick-to-Body Ratio: Adjust to 1.8 or higher for clearer liquidity grabs.
Signal Strength Smoothing: Use 2 to 3 bars for a responsive yet stable signal.
TrendPredator FOTrendPredator Fakeout Highlighter (FO)
The TrendPredator Fakeout Highlighter is designed to enhance multi-timeframe trend analysis by identifying key market behaviors that indicate trend strength, weakness, and potential reversals. Inspired by Stacey Burke’s trading approach, this tool focuses on trend-following, momentum shifts, and trader traps, helping traders capitalize on high-probability setups.
At its core, this indicator highlights peak formations—anchor points where price often locks in trapped traders before making decisive moves. These principles align with George Douglas Taylor’s 3-day cycle and Steve Mauro’s BTMM method, making the FO Highlighter a powerful tool for reading market structure. As markets are fractal, this analysis works on any timeframe.
How It Works
The TrendPredator FO highlights key price action signals by coloring candles based on their bias state on the current timeframe.
It tracks four major elements:
Breakout/Breakdown Bars – Did the candle close in a breakout or breakdown relative to the last candle?
Fakeout Bars (Trend Close) – Did the candle break a prior high/low and close back inside, but still in line with the trend?
Fakeout Bars (Counter-Trend Close) – Did the candle break a prior high/low, close back inside, and against the trend?
Switch Bars – Did the candle lose/ reclaim the breakout/down level of the last bar that closed in breakout/down, signalling a possible trend shift?
Reading the Trend with TrendPredator FO
The annotations in this example are added manually for illustration.
- Breakouts → Strong Trend
Multiple candles closing in breakout signal a healthy and strong trend.
- Fakeouts (Trend Close) → First Signs of Weakness
Candles that break out but close back inside suggest a potential slowdown—especially near key levels.
- Fakeouts (Counter-Trend Close) → Stronger Reversal Signal
Closing against the trend strengthens the reversal signal.
- Switch Bars → Momentum Shift
A shift in trend is confirmed when price crosses back through the last closed breakout candles breakout level, trapping traders and fuelling a move in the opposite direction.
- Breakdowns → Trend Reversal Confirmed
Once price breaks away from the peak formation, closing in breakdown, the trend shift is validated.
Customization & Settings
- Toggle individual candle types on/off
- Customize colors for each signal
- Set the number of historical candles displayed
Example Use Cases
1. Weekly Template Analysis
The weekly template is a core concept in Stacey Burke’s trading style. FO highlights individual candle states. With this the state of the trend and the developing weekly template can be evaluated precisely. The analysis is done on the daily timeframe and we are looking especially for overextended situations within a week, after multiple breakouts and for peak formations signalling potential reversals. This is helpful for thesis generation before a session and also for backtesting. The annotations in this example are added manually for illustration.
📈 Example: Weekly Template Analysis snapshot on daily timeframe
2. High Timeframe 5-Star Setup Analysis (Stacey Burke "ain't coming back" ACB Template)
This analysis identifies high-probability trade opportunities when daily breakout or down closes occur near key monthly levels mid-week, signalling overextensions and potentially large parabolic moves. Key signals for this are breakout or down closes occurring on a Wednesday. This is helpful for thesis generation before a session and also for backtesting. The annotations in this example are added manually for illustration. Also an indicator can bee seen on this chart shading every Wednesday to identify the signal.
📉 Example: High Timeframe Setup snapshot
3. Low Timeframe Entry Confirmation
FO helps confirm entry signals after a setup is identified, allowing traders to time their entries and exits more precisely. For this the highlighted Switch and/ or Fakeout bars can be highly valuable.
📊 Example (M15 Entry & Exit): Entry and Exit Confirmation snapshot
📊 Example (M5 Scale-In Strategy): Scaling Entries snapshot
The annotations in this examples are added manually for illustration.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
None of the information provided shall be considered financial advice.
Users are fully responsible for their trading decisions and outcomes.
Multi-Asset & TF RSI
Multi-Asset & TF RSI
This indicator allows you to compare the Relative Strength Index (RSI) values of two different assets across multiple timeframes in a single pane. It’s ideal for traders who wish to monitor momentum across different markets or instruments simultaneously.
Key Features:
Primary Asset RSI:
The indicator automatically calculates the RSI for the chart’s asset. You can adjust the timeframe for this asset using a dropdown that offers standard TradingView timeframes, a "Chart" option (which syncs with your current chart timeframe), or a "Custom" option where you can enter any timeframe.
Optional Second Asset RSI:
Enable the “Display Second Asset” option to compare another asset’s RSI. Simply select the symbol (default is “DXY”) and choose its timeframe from an identical dropdown. When enabled, the second asset’s RSI is computed and plotted for easy comparison.
RSI Settings:
Customize the RSI length and choose the data source (e.g., close price) to suit your trading strategy.
Visual Aids:
Overbought (70) and oversold (30) levels are clearly marked, along with a midline at 50. These visual cues help you quickly assess market conditions.
Asset Information Table:
A dynamic table at the top of the pane displays the symbols being analysed – the chart’s asset as the “1st” asset and, if enabled, the second asset as the “2nd.”
How to Use:
Apply the Indicator:
Add the indicator to your chart. By default, it will calculate the RSI for the chart’s current asset using your chart’s timeframe.
Adjust Primary Asset Settings:
Use the “Main Asset Timeframe” dropdown to choose the timeframe for the RSI calculation on the chart asset. Select “Chart” to automatically match your current chart’s timeframe or choose a preset/custom timeframe.
Enable and Configure the Second Asset:
Toggle the “Display Second Asset” option to enable the second asset’s RSI. Select the asset symbol and its desired timeframe using the provided dropdown. The RSI for the second asset will be plotted if enabled.
Monitor the RSI Values:
Observe the plotted RSI lines along with the overbought/oversold levels. Use the table at the top-centre of the pane to verify which asset symbols are being displayed.
This versatile tool is designed to support multi-asset analysis and can be a valuable addition to your technical analysis toolkit. Enjoy enhanced RSI comparison across markets and timeframes!
Happy Trading!
MomentumQ Momentum ROCMomentumQ Momentum Rate of Change (ROC) Indicator
The MomentumQ Momentum ROC Indicator is a powerful and user-friendly tool designed to measure the speed and strength of price momentum. By calculating the percentage change in price over a customizable period, this indicator helps traders identify trend shifts and market momentum with ease.
How It Works :
Rate of Change (ROC) Calculation :
Measures the percentage price change over a specified period (default: 14).
Helps traders determine whether an asset's momentum is increasing or decreasing.
Moving Average Smoothing :
A Simple Moving Average (SMA) is applied to the ROC for better trend visualization.
This helps filter out market noise and highlights sustained momentum trends.
Zero-Level Reference Line :
A dashed horizontal line at 0% provides a clear reference point for momentum shifts.
Above 0%: Indicates positive momentum (potential uptrend).
Below 0%: Indicates negative momentum (potential downtrend).
Key Features :
Customizable Input Parameters:
Adjust the ROC period (default: 14) to analyze short- or long-term momentum.
Modify the SMA period (default: 10) for smoother trend identification.
Intuitive Visualization :
Blue Line: Represents the Rate of Change (ROC) to track momentum shifts.
White Line: Represents the SMA of ROC, helping traders see long-term momentum.
Gray Dashed Line: A fixed reference at 0% for trend interpretation.
Momentum-Based Trading Signals :
Rising ROC: Increasing momentum, potential breakout.
Falling ROC: Weakening momentum, possible reversal.
ROC Crossing Zero: Signals a possible trend change.
User-Friendly Input Options :
Grouped settings menu for an intuitive setup experience.
Tooltips included to help traders understand each parameter.
Concepts and Calculations :
Momentum Rate of Change (ROC):
ROC = ((Close - Close ) / Close ) * 100
where n is the selected ROC period.
Simple Moving Average (SMA) of ROC :
Smooths ROC fluctuations for clearer trend insights.
How to Use :
Open the indicator settings.
Customize the ROC period (14 by default).
Enable and adjust the SMA period for smoothing (default: 10).
Analyze the plotted ROC and its SMA in relation to the zero line:
ROC > 0: Momentum is positive (uptrend).
ROC < 0: Momentum is negative (downtrend).
ROC rising or falling: Indicates strengthening or weakening momentum.
Use the insights to refine your entries and exits in trades.
Why It’s Useful :
Identifies Trend Strength – Helps detect early momentum shifts.
Confirms Trend Reversals – Zero-line crossovers can indicate changes in direction.
Works Across Multiple Markets – Stocks, Forex, Crypto, Commodities.
Customizable & Easy to Use – Adjustable settings for different strategies.
Use the MomentumQ Momentum ROC Indicator to gain deeper insights into market momentum and improve your trading decisions.
Volume & Trend Confluence OscillatorVolume & Trend Confluence Oscillator (VTCO)
Overview:
The Volume & Trend Confluence Oscillator (VTCO) is a technical analysis tool designed to help traders assess market conditions by integrating volume analysis, momentum, and trend direction into a single oscillator. This indicator provides traders with additional confirmation when evaluating potential trade entries and exits.
Key Features:
Volume Analysis: Calculates a Z-score to detect unusual trading activity.
Momentum Measurement: Evaluates the rate of price change to gauge market velocity.
Trend Confirmation: Utilizes an Exponential Moving Average (EMA) to assess overall market direction.
Signal Filtering: Incorporates minimum movement thresholds and a confirmation period to reduce false signals.
Visual Enhancements: Background shading indicates trend direction, and buy/sell markers highlight key signals.
How It Works:
The VTCO applies a volume multiplier to momentum readings when volume activity significantly deviates from its historical norm. Additionally, it prioritizes momentum moves that align with the prevailing market trend. A smoothing mechanism refines the oscillator’s signal line, ensuring a more stable and actionable output. The indicator generates alerts when key conditions are met, assisting traders in identifying potential trend shifts.
Signal Generation:
Buy Signal: Triggered when the oscillator crosses above zero after an oversold condition, ideally within an uptrend.
Sell Signal: Triggered when the oscillator crosses below zero after an overbought condition, ideally within a downtrend.
Alerts: Configurable alerts notify traders when key market conditions are met.
Usage Considerations:
Works effectively across various timeframes but may provide more reliable signals on higher timeframes.
Best utilized in conjunction with additional technical indicators and risk management strategies.
No indicator guarantees future performance; proper analysis and trade management remain essential.
Disclaimer:
This indicator is provided for educational purposes only and should not be considered financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct independent analysis before making trading decisions.
RSI & DPO support/resistanceThis indicator combines the Relative Strength Index (RSI) to identify overbought and oversold conditions with the Detrended Price Oscillator (DPO) to highlight support and resistance levels.
Unlike traditional indicators that display these metrics in a separate window, this tool integrates them directly onto the main price chart.
This allows for a more cohesive analysis, enabling traders to easily visualize the relationship between price movements and momentum indicators in one unified view.
How to Use It:
Identify Overbought and Oversold Conditions:
Look for RSI values above 70 to identify overbought conditions, suggesting a potential price reversal or pullback. Conversely, RSI values below 30 indicate oversold conditions, which may signal a potential price bounce or upward movement.
Analyze Support and Resistance Levels:
Observe the DPO lines on the main chart to identify key support and resistance levels. When the price approaches these levels, it can provide insights into potential price reversals or breakouts.
Combine Signals for Trading Decisions:
Use the RSI and DPO signals together to make informed trading decisions. For example, if the RSI indicates an overbought condition while the price is near a resistance level identified by the DPO, it may be a good opportunity to consider selling or taking profits.
Monitor Divergences:
Watch for divergences between the RSI and price movements. If the price is making new highs while the RSI is not, it could indicate weakening momentum and a potential reversal.
Set Alerts:
Consider setting alerts for when the RSI crosses above or below the overbought or oversold thresholds, or when the price approaches significant support or resistance levels indicated by the DPO.
Practice Risk Management:
Always use proper risk management techniques, such as setting stop-loss orders and position sizing, to protect your capital while trading based on these indicators.
By following these steps, traders can effectively utilize this indicator to enhance their market analysis and improve their trading strategies.
Bollinger Bands color candlesThis Pine Script indicator applies Bollinger Bands to the price chart and visually highlights candles based on their proximity to the upper and lower bands. The script plots colored candles as follows:
Bullish Close Above Upper Band: Candles are colored green when the closing price is above the upper Bollinger Band, indicating strong bullish momentum.
Bearish Close Below Lower Band: Candles are colored red when the closing price is below the lower Bollinger Band, signaling strong bearish momentum.
Neutral Candles: Candles that close within the bands remain their default color.
This visual aid helps traders quickly identify potential breakout or breakdown points based on Bollinger Band dynamics.
Kalman Synergy Oscillator (KSO)The Kalman Synergy Oscillator (KSO) is an innovative technical indicator that combines the Kalman filter with two well-established momentum oscillators: the Relative Strength Index (RSI) and Williams %R. This combination aims to provide traders with a more refined tool for market analysis.
The use of the Kalman filter is a key feature of the KSO. This sophisticated algorithm is known for its ability to extract meaningful signals from noisy data. In financial markets, this translates to smoothing out price action while maintaining responsiveness to genuine market movements. By applying the Kalman filter to price data before calculating the RSI and Williams %R, the KSO potentially offers more stable and reliable signals.
The synergy between the Kalman-filtered price data and the two momentum indicators creates an oscillator that attempts to capture market dynamics more effectively. The RSI contributes its strength in measuring the magnitude and speed of price movements, while Williams %R adds sensitivity to overbought and oversold conditions. Basing these calculations on Kalman-filtered data may help reduce false signals and provide a clearer picture of underlying market trends.
A notable aspect of the KSO is its dynamic weighting system. This approach adjusts the relative importance of the RSI and Williams %R based on their current strengths, allowing the indicator to emphasize the most relevant information as market conditions change. This flexibility, combined with the noise-reduction properties of the Kalman filter, positions the KSO as a potentially useful tool for different market conditions.
In practice, traders might find that the KSO offers several potential benefits:
Smoother oscillator movements, which could aid in trend identification and reversal detection.
Possibly reduced whipsaws, particularly in choppy or volatile markets.
Potential for improved divergence detection, which might lead to more timely reversal signals.
Consistent performance across different timeframes, due to the adaptive nature of the Kalman filter.
While the KSO builds upon existing concepts in technical analysis, its integration of the Kalman filter with traditional momentum indicators offers traders an interesting tool for market analysis. It represents an attempt to address common challenges in technical analysis, such as noise reduction and false signal minimization.
As with any technical indicator, the KSO should be used as part of a broader trading strategy rather than in isolation. Its effectiveness will depend on how well it aligns with a trader's individual approach and market conditions. For traders looking to explore a more refined momentum oscillator, the Kalman Synergy Oscillator could be a worthwhile addition to their analytical toolkit.
Bullrun Profit Maximizer [QuantraSystems]Bullrun Profit Maximizer
Quantra Systems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors.
Important Note!
The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script.
Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance.
This ensures that the system is less likely to degrade in performance over time, compared to hyper optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post backtest.
Even More Important Note!!
The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing.
While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes.
Introduction
The "Adaptive Pairwise Momentum System" is not a prototype to the Bullrun Profit Maximizer (BPM) . The Bullrun Profit Maximizer is a fully re-engineered, higher frequency momentum system.
The Bullrun Profit Maximizer (BPM) uses a completely different filter logic and refines momentum calculations, specifically to support higher frequency trading on Crypto's Blue Chip assets. It correctly calculates fees and slippage by compounding them against System Profit before plotting the equity curve.
Unlike prior systems, this script utilizes a completely new filter logic and refined momentum calculation, specifically built to support higher frequency trading on blue-chip assets, while minimizing the impact of fees and slippage.
While the APMS focuses on Macro Trend Alignment, the BPM instead applies an equity curve based filter, allowing for targeted precision on the current asset’s trend without relying on broader market conditions. This approach delivers more responsive and asset specific signals, enhancing agility in today’s fast paced crypto markets.
The BPM dynamically optimizes capital allocation across up to four high performing assets, ensuring that the portfolio adapts swiftly to changing market conditions. The system logic consists of sophisticated quantitative methods, rapid momentum analysis and alpha cyclicality/seasonality optimizations. The overarching goal is to ensure that the portfolio is always invested in the highest performing asset based on dynamic market conditions, while at the same time managing risk through rapid asset filters and internal mechanisms like alpha cyclicality, volatility and beta analysis.
In addition to these core functionalities, the BPM comes with the typical Quantra Systems UI design, structured to reduce data clutter and provide users with only the most essential, impactful information. The BPM UI format delivers clear and easy to read signals. It enables rapid decision making in a high frequency environment without compromising on depth or accuracy.
Bespoke Logic Filtering with Equity Curve Precision
The BPM script utilizes a completely new methodology and focuses on intraday rotations of blue-chip crypto assets, while previously built systems were designed with a longer term focus in mind.
In response to the need for more precise signal generation, the BPM replaces the previous macro trend filter with a new, highly specific equity curve activation filter. This unique logic filter is driven solely by the performance trends of the asset currently held by the system. By analyzing the equity curve directly, this system can make more targeted, timely allocations based on asset specific momentum, allowing for quick adjustments that are more relevant to the held asset rather than general market conditions.
The benefits of this new, unique approach are twofold: first, it avoids premature allocation shifts based on broader macro movements, and second, it enables the system to adapt dynamically to the performance of each asset individually. This asset specific filtering allows traders to capitalize on localized strength within individual blue-chip cryptoassets without being affected by lags in the overall market trend.
High Frequency Momentum Calculation for Enhanced Flexibility
The BPM incorporates a newly designed momentum calculation that increases its suitability across lower timeframes. This new momentum indicator captures and processes more data points within a shorter window than ever before, rather than extending bar intervals and potentially losing high frequency detail. This creates a smooth, data rich featureset that is especially suited for blue-chip assets, where liquidity reduces slippage and fees, making higher frequency trading viable.
By retaining more data, this system captures subtle shifts in momentum more effectively than traditional approaches, offering higher resolution insights. These modifications result in a system capable of generating highly responsive signals on faster timeframes, empowering traders to act quickly in volatile markets.
User Interface and Enhanced Readability
The BPM also features a reimagined, streamlined user interface, making it easier than ever to monitor essential signals at a glance. The new layout minimizes extraneous data points in the tables, leaving only the most actionable information for traders. This cleaner presentation is purpose built to help traders identify the strongest asset in real time, with clear, color coded signals to facilitate swift decision making in fast moving markets.
Equity Stats Table : Designed for clarity, the stats table focuses on the current allocation’s performance metrics, emphasizing the most critical metrics without unnecessary clutter.
Color Coded Highlights : The interface includes the option to highlight both the current top performing asset, and historical allocations - with indicators of momentum shifts and performance metrics readily accessible.
Clear Signals : Visual cues are presented in an enhanced way to improve readability, including simplified line coloring, and improve visualization of the outperforming assets in the allocation table.
Dynamic Asset Reallocation
The BPM dynamically allocates capital to the strongest performing asset in a selected pool. This system incorporates a re-engineered, pairwise momentum measurement designed to operate at higher frequencies. The system evaluates each asset against others in real time, ensuring only the highest momentum asset receives allocation. This approach keeps the portfolio positioned for maximum efficiency, with an updated weighting logic that favors assets showing both strength and sustainability.
Position Changes and Slippage Calculation
Position changes are optimized for faster reallocation, with realistic slippage and fee calculations factored into each trade. The system’s structure minimizes the impact of these costs on blue-chip assets, allowing for more active management on short timeframes without incurring significant drag on performance.
A Special Note on Fees + Slippage
In the image above, the system has been applied to four different timeframes - 12h, 8h, 4h and 1h - using identical settings and a selected slippage and fees amount of 0.2%. In this stress test, we isolate the choppy downwards period from the previous Bitcoin all time high - set in March 2024, to the current date where Bitcoin is currently sitting at around the same level.
This illustrates an important concept: starting at the 12h, the system performed better as the timeframes decreased. In fact, only on the 4hr chart did the system equity curve make a new all time high alongside Bitcoin. It is worth noting that market phases that are “non-trending” are generally the least profitable periods to use a momentum/trend system - as most systems will get caught by false momentum and will “buy the top,” and then proceed to “sell the bottom.”
Lower timeframes typically offer more data points for the algorithm to compute over, and enable quicker entries and exits within a robust system, often reducing downside risk and compounding gains more effectively - in all market environments.
However, slippage, fees, and execution constraints are still limiting factors. Although blue-chip cryptocurrencies are more liquid and can be traded with lower fees compared to low cap assets, frequent trading on lower timeframes incurs cumulative slippage costs. With the BPM system set to a realistic slippage rate of 0.2% per trade, this example emphasizes how even lower fees impact performance as trade frequency increases.
Finding the optimal balance between timeframe and slippage impact requires careful consideration of factors such as portfolio size, liquidity of selected tokens, execution speed, and the fee rate of the exchange you execute trades on.
Number of Position Changes
Understanding the number of position changes in a strategy is critical to assessing its feasibility in real world trading. Frequent position changes can lead to increased costs due to slippage and fees. Monitoring the number of position changes provides insight into the system’s behavior - helping to evaluate how active the strategy is and whether it aligns with the trader's desired time input for position management.
Equity Curve and Performance Calculations
To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents a 100% allocation to Bitcoin, the highest market cap cryptoasset. This allows users to easily compare the performance of the dynamic rotation system with that of a more traditional investment strategy.
The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including:
Sharpe Ratio
The Sharpe Ratio is a key metric that evaluates a portfolio’s risk adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market.
By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets.
Sortino Ratio
The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the Bullrun Profit Maximizer - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto.
Omega Ratio
The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels.
Usage Summary:
While the backtests in this description are generated as if a trader held a portfolio of just the strongest tokens, this was mainly designed as a method of logical verification and not a recommended investment strategy. In practice, this system can be used in multiple ways.
It can be used as above, or as a factor in forming part of a broader asset selection tool, or even a method of filtering tokens by strength in order to inform a day trader which tokens might be optimal to look at, for long-only trading setups on an intrabar timeframe.
Summary
The Bullrun Profit Maximizer is an advanced tool tailored for traders, offering the precision and agility required in today’s markets. With its asset specific equity curve filter, reworked momentum analysis, and streamlined user interface, this system is engineered to maximize gains and minimize risk during bullmarkets, with a strong focus on risk adjusted performance.
Its refined approach, focused on high resolution data processing and adaptive reallocation, makes it a powerful choice for traders looking to capture high quality trends on clue-chip assets, no matter the market’s pace.
Fusion MFI RSIHello fellas,
This superb indicator summons two monsters called Relative Strength Index (RSI) and Money Flow Index (MFI) and plays the Yu-Gi-Oh! card "Polymerization" to combine them.
Overview
The Fusion MFI RSI Indicator is an advanced analytical tool designed to provide a nuanced understanding of market dynamics by combining the Relative Strength Index (RSI) and the Money Flow Index (MFI). Enhanced with sophisticated smoothing techniques and the Inverse Fisher Transform (IFT), this indicator excels in identifying key market conditions such as overbought and oversold states, trends, and potential reversal points.
Key Features (Brief Overview)
Fusion of RSI and MFI: Integrates momentum and volume for a comprehensive market analysis.
Advanced Smoothing Techniques: Employs Hann Window, Jurik Moving Average (JMA), T3 Smoothing, and Super Smoother to refine signals.
Inverse Fisher Transform (IFT) Enhances the clarity and distinctiveness of indicator outputs.
Detailed Feature Analysis
Fusion of RSI and MFI
RSI (Relative Strength Index): Developed by J. Welles Wilder Jr., the RSI measures the speed and magnitude of directional price movements. Wilder recommended using a 14-day period and identified overbought conditions above 70 and oversold conditions below 30.
MFI (Money Flow Index): Created by Gene Quong and Avrum Soudack, the MFI combines price and volume to measure trading pressure. It is typically calculated using a 14-day period, with over 80 considered overbought and under 20 as oversold.
Application in Fusion: By combining RSI and MFI, the indicator leverages RSI's sensitivity to price changes with MFI's volume-weighted confirmation, providing a robust analysis tool. This combination is particularly effective in confirming the strength behind price movements, making the signals more reliable.
Advanced Smoothing Techniques
Hann Window: Traditionally used to reduce the abrupt data discontinuities at the edges of a sample, it is applied here to smooth the price data.
Jurik Moving Average (JMA): Known for preserving the timing and smoothness of the data, JMA reduces market noise effectively without significant lag.
T3 Smoothing: Developed to respond quickly to market changes, T3 provides a smoother response to price fluctuations.
Super Smoother: Filters out high-frequency noise while retaining important trends.
Application in Fusion: These techniques are chosen to refine the output of the combined RSI and MFI values, ensuring the indicator remains responsive yet stable, providing clearer and more actionable signals.
Inverse Fisher Transform (IFT):
Developed by John Ehlers, the IFT transforms oscillator outputs to enhance the clarity of extreme values. This is particularly useful in this fusion indicator to make critical turning points more distinct and actionable.
Mathematical Calculations for the Fusion MFI RSI Indicator
RSI (Relative Strength Index)
The RSI is calculated using the following steps:
Average Gain and Average Loss: First, determine the average gain and average loss over the specified period (typically 14 days). This is done by summing all the gains and losses over the period and then dividing each by the period.
Average Gain = (Sum of Gains over the past 14 periods) / 14
Average Loss = (Sum of Losses over the past 14 periods) / 14
Relative Strength (RS): This is the ratio of average gain to average loss.
RS = Average Gain / Average Loss
RSI: Finally, the RSI is calculated using the RS value:
RSI = 100 - (100 / (1 + RS))
MFI (Money Flow Index)
The MFI is calculated using several steps that incorporate both price and volume:
Typical Price: Calculate the typical price for each period.
Typical Price = (High + Low + Close) / 3
Raw Money Flow: Multiply the typical price by the volume for the period.
Raw Money Flow = Typical Price * Volume
Positive and Negative Money Flow: Compare the typical price of the current period to the previous period to determine if the money flow is positive or negative.
If today's Typical Price > Yesterday's Typical Price, then Positive Money Flow = Raw Money Flow; Negative Money Flow = 0
If today's Typical Price < Yesterday's Typical Price, then Negative Money Flow = Raw Money Flow; Positive Money Flow = 0
Money Flow Ratio: Calculate the ratio of the sum of Positive Money Flows to the sum of Negative Money Flows over the past 14 periods.
Money Flow Ratio = (Sum of Positive Money Flows over 14 periods) / (Sum of Negative Money Flows over 14 periods)
MFI: Finally, calculate the MFI using the Money Flow Ratio.
MFI = 100 - (100 / (1 + Money Flow Ratio))
Fusion of RSI and MFI
The final Fusion MFI RSI value could be calculated by averaging the IFT-transformed values of RSI and MFI, providing a single oscillator value that reflects both momentum and volume-weighted price action:
Fusion MFI RSI = (MFI weight * MFI) + (RSI weight * RSI)
Suggested Settings and Trading Rules
Original Usage
RSI: Wilder suggested buying when the RSI moves above 30 from below (enter long) and selling when the RSI moves below 70 from above (enter short). He recommended exiting long positions when the RSI reaches 70 or higher and exiting short positions when the RSI falls below 30.
MFI: Quong and Soudack recommended buying when the MFI is below 20 and starts rising (enter long), and selling when it is above 80 and starts declining (enter short). They suggested exiting long positions when the MFI reaches 80 or higher and exiting short positions when the MFI falls below 20.
Fusion Application
Settings: Use a 14-day period for this indicator's calculations to maintain consistency with the original settings suggested by the inventors.
Trading Rules:
Enter Long Signal: Consider entering a long position when both RSI and MFI are below their respective oversold levels and begin to rise. This indicates strong buying pressure supported by both price momentum and volume.
Exit Long Signal: Exit the long position when either RSI or MFI reaches its respective overbought threshold, suggesting a potential reversal or decrease in buying pressure.
Enter Short Signal: Consider entering a short position when both indicators are above their respective overbought levels and begin to decline, suggesting that selling pressure is mounting.
Exit Short Signal: Exit the short position when either RSI or MFI falls below its respective oversold threshold, indicating diminishing selling pressure and a potential upward reversal.
How to Use the Indicator
Select Source and Timeframe: Choose the data source and the timeframe for analysis.
Configure Fusion Settings: Adjust the weights for RSI and MFI.
Choose Smoothing Technique: Select and configure the desired smoothing method to suit the market conditions and personal preference.
Enable Fisherization: Optionally apply the Inverse Fisher Transform to enhance signal clarity.
Customize Visualization: Set up gradient coloring, background plots, and bands according to your preferences.
Interpret the Indicator: Use the Fusion value and visual cues to identify market conditions and potential trading opportunities.
Conclusion
The Fusion MFI RSI Indicator integrates classical and modern technical analysis concepts to provide a comprehensive tool for market analysis. By combining RSI and MFI with advanced smoothing techniques and the Inverse Fisher Transform, this indicator offers enhanced insights, aiding traders in making more informed and timely trading decisions. Customize the settings to align with your trading strategy and leverage this powerful tool to navigate financial markets effectively.
Best regards,
simwai
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Credits to:
@loxx – T3
@everget – JMA
@cheatcountry – Hann Window
