OOO Trade (By Bodinphat)Script Description (for TradingView Publish Page)
Description:
This indicator is an advanced trend-following system that combines multi-timeframe signals, order block zones (OB Zones), and precision-based metrics to help traders identify high-probability buy and sell opportunities.
It automatically analyzes EMA trends, RSI pullbacks, ADX strength, and volume confirmation to calculate a dynamic confidence score for both long and short directions.
The system also displays:
📊 Multi-Timeframe Trend Strip (M1 → D1) — showing each timeframe’s directional bias (Buy/Sell/Neutral).
🎯 OB Zones (Order Blocks) — highlights institutional demand (Bullish OB) and supply (Bearish OB) zones on the chart.
📋 Right-Side Info Panel — displays key metrics such as score, accuracy, SL/TP targets, and bias direction in real-time.
⚡ Session Filters — optional London/NY session filters for more accurate signal alignment.
This tool is ideal for traders who want to follow structured price action while maintaining a clear view of market strength and institutional zones.
It works best with XAUUSD, GBPUSD, and major indices on intraday or swing timeframes.
Disclaimer:
This indicator is for educational and informational purposes only.
It does not constitute financial advice. Please test thoroughly before using in live trading.
Statistics
Michal D. Lagless Moving Average | MisinkoMasterThe 𝕸𝖎𝖈𝖍𝖆𝖑 𝕯. 𝕷𝖆𝖌𝖑𝖊𝖘𝖘 𝕸𝖔𝖛𝖎𝖓𝖌 𝕬𝖛𝖊𝖗𝖆𝖌𝖊 is my latest creation of a trend following tool, which is a bit different from the rest. By trying to de-lag the classical moving average, it gives you fast signals on changes in trend as fast as possible, keeping traders & investors always in check for potential risks they might want to avoid.
How does it work?
First we need to calculate lengths. The lengths are calcuted using a user defined input called the "Length Multiplier" and we of course need as well the length input too.
The indicator uses 10 lengths, 5 for an average price, 5 for median price.
The length for the average is the following:
length_2_avg = length_1_avg * length_multiplier
length_3_avg = length_2_avg * length_multiplier
...
and for the median lengths:
length_1_median = length_2_avg
length_2_median = length_3_avg
Here applies this rule
length_x_median < length_x_avg
This is intentional, and it is because the average is a little more reactive, while the median is a bit slower. To make up for the "slowness" of the median, we simple reduce the length of it a bit more than the average.
Now that we have our length we are ready to calculate averages and medians over their respective period. This is the a normal average from elementary school, nothing too fancy.
Now that we have all of them we match the pairs using another user defined input called "Median Weight" like so:
(Average_x * (2-median_weight) + Median_x * median_weight)/2
This gives more weight to the average (also due to the max value limit set to avoid breaking the fundational logic behind it).
After doing it to all the pairs we now average those pairs using another input called "Exponential Weight Multiplier".
The Exponential Weight Multiplier is used for weights which I will cover soon:
weight1 = weight
weight2 = weight * weight
weight3 = weight * weight * weight....
This is done until we have all the weights calculated
This gives exponentially more weight to the less lagging indicators, which is how we delag the indicator.
Then we sum all the pairs like so:
sum = pair1 * weight1 + pair2 * weight2 + pair3 * weight3 + pair4 * weight4 + pair5 * weight5
Then the sum is divided by the sum of weights, this results in us getting the final value.
Methodology & What is the actual point & how was it made?
I want to cover this one a bit deeper:
The methodology behind this was creating an indicator that would not be lagging, and would be able to avoid lag while not producing signals too often.
In many attempts in the first part, I tried using EMA, RMA, DEMA, TEMA, HMA, SMA and so on, but they were too noisy (except for SMA & RMA, but those had their flaws), so I tried the classical average taught in elementary school. This one worked better, but the noise was too high still after all this time. This made me include the median, which helped the noise, but made it far too lagging.
Here came the idea of making the median length lower and adding weights to counter the lag of the median, but it was still too lagging. This made me make the weights for lengths more exponential, while previously they were calculated using a little bit amplified sums that were alright, but nowhere near my desired result.
Using the new weights I got further, and after a bit of testing I was sattisfied with the results.
The logic for the trend was a big part in my development part, there were many I could think of, but not enough time to try them, so I stuck to the usual one, and I leave it up to YOU to beat my trend logic and get even better results.
Use Cases:
- Price/MA Crossovers
Simple, effective, useful
- Source for other indicators
This I tried myself, and it worked in a cool way, making the signals of for example RSI much smoother, so definitely try it out if you know how to code, or just simply put it in the source of the RSI.
- ROC
This trend logic stuck with me, I think you could find a way to make it good, but mainly for the people that can code in pine, trying out to combine the trend logic with ROC could work very well, do not sleep on it!
- Education
This concept is not really that complex, so for people looking for new ideas, inspiration, or just watching how trend following tools behave in general this is something that could benefit anyone, as the concept can be applied to ANYTHING, even the classical RSI, MACD, you could try even the Parabolic SAR, maybe STC or VZO, there is no limit to imagination.
- Strategy creation
Filtering this indicator with "and" conditions, or maybe even "or" or anything really could be very useful in a strategy that desires fast signals.
- Price Distance from bands
I noticed this while looking at past performance:
The stronger the trend the higher the distance from the Moving Average.
Final Notes
Watch out for mean reverting markets, as this is trend following you could get easily screwed in them.
Play around with this if it fits your desired outcome, you might find something I did not.
Hope you find it useful,
See you next time!
Stochastic %K Colored by VolumeDescription:
"Stochastic %K Colored by Volume is a technical indicator that combines the traditional Stochastic %K oscillator with volume-based coloring. It highlights periods of high, low, and neutral trading volume by changing the color of the %K line. Additionally, it identifies bullish and bearish divergences between price and the %K oscillator, helping traders spot potential reversals and trend changes. The indicator also includes key levels for overbought, oversold, and extreme zones to guide trading decisions."
Markov Chain Regime & Next‑Bar Probability Forecast✨ What it is
A regime-aware, math-driven panel that forecasts the odds for the very next candle. It shows:
• P(next r > 0)
• P(next r > +θ)
• P(next r < −θ)
• A 4-bucket split of next-bar outcomes (>+θ | 0..+θ | −θ..0 | <−θ)
• Next-regime probabilities: Calm | Neutral | Volatile
🧠 Why the math is strong
• Markov regimes: Markets cluster in volatility “moods.” We learn a 3-state regime S∈{Calm, Neutral, Volatile} with a transition matrix A, where A = P(Sₜ₊₁=j | Sₜ=i).
• Condition on the future state: We estimate event odds given the next regime j—
q_pos(j)=P(rₜ₊₁>0 | Sₜ₊₁=j), q_gt(j)=P(rₜ₊₁>+θ | Sₜ₊₁=j), q_lt(j)=P(rₜ₊₁<−θ | Sₜ₊₁=j)—
and mix them with transitions from the current (or frozen) state sNow:
P(event) = Σⱼ A · q(event | j).
This mixture-of-regimes view (HMM-style one-step prediction) ties next-bar outcomes to where volatility is likely headed.
• Statistical hygiene: Laplace/Beta smoothing, minimum-sample gating, and unconditional fallbacks keep estimates stable. Heavy computations run on confirmed bars; “Freeze at close” avoids intrabar flicker.
📊 What each value means
• Regime label & background: 🟩 Calm, 🟧 Neutral, 🟥 Volatile — quick read of market context.
• P(next r > 0): Directional tilt for the very next bar.
• P(next r > +θ): Odds of an outsized positive move beyond θ.
• P(next r < −θ): Odds of an outsized negative move beyond −θ.
• Partition row: Distributes next-bar probability across four intuitive buckets; they ≈ sum to 100%.
• Next Regime Probs: Likelihood of switching to Calm/Neutral/Volatile on the next bar (row of A for the current/frozen state).
• Samples row: How many next-bar samples support each next-state estimate (a confidence cue).
• Smoothing α: The Laplace prior used to stabilize binary event rates.
⚙️ Inputs you control
• Returns: Log (default) or %
• Include Volume (z-score) + lookback
• Include Range (HL/PrevClose)
• Rolling window N (transitions & estimates)
• θ as percent (e.g., 0.5%)
• Freeze forecast at last close (recommended)
• Display toggles (plots, partition, samples)
🎯 How to use it
• Volatility awareness & sizing: Rising P(next regime = Volatile) → consider smaller size, wider stops, or skipping marginal entries.
• Breakout preparation: Elevated P(next r > +θ) highlights environments where range expansion is more likely; pair with your setup/trigger.
• Defense for mean-reversion: If P(next r < −θ) lifts while you’re late long (or P(next r > +θ) lifts while late short), tighten risk or wait for better context.
• Calibration tip: Start θ near your market’s typical bar size; adjust until “>+θ” flags truly meaningful moves for your timeframe.
📝 Method notes & limits
Activity features (|r|, volume z, range) are standardized; only positive z’s feed the composite activity score. Estimates adapt to instrument/timeframe; rare regimes or small windows increase variance (hence smoothing, sample gating, fallbacks). This is a context/forecast tool, not a standalone signal—combine with your entry/exit rules and risk management.
🧩 Strategies too
We also develop full strategy versions that use these probabilities for entries, filters, and position sizing. Like this publication if you’d like us to release the strategy edition next.
⚠️ Disclaimer
Educational use only. Not financial advice. Markets involve risk. Past performance does not guarantee future results.
SPYDER ORBITSPYDER ORBIT is an adaptation of the original Kaiser Windowed Sinc Moving Average by The_Peaceful_Lizard.
This version adds the dynamic standard deviation bands with the precision of a Kaiser windowed sinc filter for ultra-smooth, low-lag trend extraction — ideal for identifying dominant directional bias while minimizing market noise.
Around this smoothed orbit, SPYDER ORBIT adds multi-level deviation envelopes (1σ, 2σ, 3σ) to visualize volatility expansion and contraction zones. These act like adaptive shells, helping identify exhaustion, breakout volatility, and mean-reversion opportunities.
Credits:
Sinc MA © The_Peaceful_Lizard
Opening Range Fibonacci Extensions (ATR Adjusted)this script displays daily, weekly, or monthly range extensions as a function of ATR in a Fibonacci retracement
Simple Custom Watermark & Symbol Info ジAdd a clean, configurable watermark to any chart. This lightweight indicator displays a custom name or brand plus optional symbol, timeframe, and current date in any corner of the chart. Perfect for traders, streamers, analysts, and content creators who want consistent chart branding, fast timestamps, or tidy screenshots.
Key features
Custom watermark text (brand, username, or logo text)
Toggle display of Symbol, Timeframe, and Date
Choose position: Top/Bottom × Left/Center/Right
Text color, background color (with alpha) and text size (small/normal/large)
Ultra-light, overlay-only — no chart clutter or extra objects
Why use it
Professionalize screenshots and shared charts with consistent branding
Add automatic timestamps to charts for auditability or content posts
Useful for streaming, educational content, reports, or trading journals
Minimal footprint keeps the chart readable while adding essential metadata
How traders use it
Add your name/handle for attribution on social posts
Show timeframe & symbol automatically when switching charts
Use date stamp for sessions, reports, and evidence of analysis timing
Built for clarity, speed, and clean visuals. Simple to configure — drop it on any chart and customize the watermark to match your workflow.
SJA WINFUT B3-10
INDICATOR FOR WINFUT B3 – 5-minute chart.
This indicator was designed to trade the Bovespa index futures contract (WINFUT) on the 5-minute chart.
It integrates technical analysis and macroeconomic context elements.
It combines several indicators in which the system calculates a score weighted by color and intensity for each indicator, generating a metric called “STRENGTH %,” which reflects the dominance of buyers (green), sellers (red), or sideways movement (orange) at the moment.
The calculation is adapted to market hours:
Between 9:00 a.m. and 9:59 a.m., it considers only the available indicators; after 10:00 a.m., it uses all data.
The panel displays real-time information, including divergences between strength and price, providing robust decision support for short-term operations on the mini index.
Buying trend.
The more green indicators (at the top of the panel) and dark blue indicators (at the bottom of the panel) and the higher the strength percentage, the greater the probability of buying.
Selling trend.
The more red indicators (at the top of the panel) and dark blue indicators (at the bottom of the panel) and the higher the strength percentage, the greater the probability of selling.
Translated with DeepL.com (free version)
SJA WINFUT B3-BRINDICATOR FOR WINFUT B3 – 5-minute chart.
This indicator was designed to trade the Bovespa index futures contract (WINFUT) on the 5-minute chart.
It integrates technical analysis and macroeconomic context elements.
It combines several indicators in which the system calculates a score weighted by color and intensity for each indicator, generating a metric called “STRENGTH %,” which reflects the dominance of buyers (green), sellers (red), or sideways movement (orange) at the moment.
The calculation is adapted to market hours:
Between 9:00 a.m. and 9:59 a.m., it considers only the available indicators; after 10:00 a.m., it uses all data.
The panel displays real-time information, including divergences between strength and price, providing robust decision support for short-term operations on the mini index.
Buying trend.
The more green indicators (at the top of the panel) and dark blue indicators (at the bottom of the panel) and the higher the strength percentage, the greater the probability of buying.
Selling trend.
The more red indicators (at the top of the panel) and dark blue indicators (at the bottom of the panel) and the higher the strength percentage, the greater the probability of selling.
Bollinger Bands %b Trend | DextraOverview
The Bollinger Bands %b Trend | Dextra is a custom technical indicator designed to enhance trend identification using the Bollinger Bands %b concept. This indicator calculates the percentage position of the price relative to the Bollinger Bands and uses customizable thresholds to determine bullish or bearish trends. It integrates dynamic candle coloring and a clear visual representation to assist traders in making informed decisions.
Key Features
- Bollinger Bands %b Calculation: Measures the price's position between the upper and lower Bollinger Bands as a percentage, providing a normalized view of overbought or oversold conditions.
- Trend Detection: Identifies uptrends and downtrends based on user-defined thresholds, offering a straightforward trend-following approach.
- Dynamic Candle Coloring: Colors candles according to the detected trend (green for uptrend, magenta for downtrend, gray for neutral), enhancing visual trend analysis.
- Customizable Parameters: Allows adjustment of length, standard deviation multiplier, and trend thresholds to suit various market conditions and trading styles.
How It Works
1. Bollinger Bands Calculation:
- The indicator uses an Exponential Moving Average (EMA) as the basis, calculated with a user-defined `length` (default 34).
- Upper and lower bands are derived by adding and subtracting a multiple of the standard deviation (`mult`, default 2.0) from the EMA.
- The %b value is computed as `(src - lower) / (upper - lower)`, where `src` is the price source (default `close`).
2. Trend Identification:
- An uptrend is detected when %b exceeds the `upperthreshold` (default 0.75).
- A downtrend is detected when %b falls below the `lowerthreshold` (default 0.26).
- The trend state is maintained until a new threshold condition is met.
3. Visualization:
- The %b line is plotted with a color reflecting the trend (green for uptrend, magenta for downtrend, gray for neutral).
- Horizontal dashed lines mark the uptrend and downtrend thresholds for reference.
- Candles are colored to match the trend, providing an overlay visualization on the price chart.
Customization Options
- Length: Adjust the EMA and standard deviation period (default 34, min 1).
- Source: Select the price data source for calculations (default `close`).
- StdDev: Set the standard deviation multiplier for band width (default 2.0, range 0.001 to 50).
- Uptrend Threshold: Define the %b level for uptrend detection (default 0.75, step 0.01).
- Downtrend Threshold: Define the %b level for downtrend detection (default 0.26, step 0.01).
Ideal Use Cases
- Trend Following: Perfect for traders seeking to capitalize on sustained price movements with clear entry and exit signals.
- Volatility Analysis: Useful for identifying periods of high or low volatility when combined with the %b positioning.
- Complementary Tool: Works well alongside momentum indicators (e.g., RSI) or volume-based tools to confirm trend strength.
#### Disclaimer
This indicator is provided for educational and informational purposes only. It is not intended to serve as financial advice or a guaranteed method for trading success. Trading involves significant risks, including the potential loss of capital. Users are solely responsible for their trading decisions and should conduct their own analysis and apply appropriate risk management strategies.
Notes
- Ensure your chart has sufficient historical data to reflect accurate Bollinger Bands calculations.
- Test the indicator on a demo account before using it in live trading to validate its performance with your preferred assets and timeframes.
This indicator is a versatile addition to any trader's toolkit, offering a blend of trend detection and visual clarity tailored to modern trading needs.
VWAP Mean Reversion ZonesDescription:
VWAP Mean Reversion Zones is a multi-timeframe VWAP indicator designed to reveal price deviations and volatility structure across higher-timeframe anchors. It calculates a Volume-Weighted Average Price (VWAP) from a user-selectable timeframe (Daily, Weekly, or Monthly) and overlays it directly on your chart.
The script also computes multiple standard deviation bands around the smoothed VWAP, allowing traders to identify areas of potential mean reversion, trend extension, and volatility compression. Each deviation band helps distinguish the relative distance of price from the VWAP centerline.
Key Features:
Selectable VWAP anchor period: Daily, Weekly, or Monthly.
Multi-timeframe VWAP calculation using volume and price weighting.
Four customizable standard deviation bands with independent multipliers.
Distinct colors and full opacity for clear visual separation.
Smoothed VWAP centerline for reduced noise and better trend visualization.
Use Cases:
Identify overbought or oversold conditions relative to VWAP.
Detect volatility expansion and contraction zones.
Align entries and exits with higher-timeframe VWAP structure.
Combine with price action or other indicators for confluence trading.
This indicator is ideal for traders who rely on VWAP dynamics and mean-reversion principles to guide entries, exits, and risk management.
VWAP NectarVWAP Nectar
The Sweet Spot Between Price and Volume
VWAP Nectar is a precision-driven indicator that blends price action and volume flow into a clean, adaptive channel system.
It uses session-based VWAP calculations combined with median smoothing to filter market noise and highlight the true directional bias of price.
The indicator shades the chart between two dynamic VWAP bands, giving traders a quick visual read of whether buyers or sellers are controlling the session.
When the fill color shifts, it signals a change in momentum — simple, fast, and powerful.
How it works
Calculates session VWAPs for both highs and lows
Applies a median smoothing filter for stability and clarity
Generates adaptive upper and lower zones based on a customizable percentage
Fills the area between VWAPs in green (bullish) or red (bearish) depending on directional bias
Provides real-time alert triggers for VWAP-based trend changes
Inputs
Source selection: Choose custom data sources for close, high, and low
Zone %: Adjust sensitivity of the upper/lower VWAP envelope
Use it for
**VWAP Nectar is designed primarily for lower timeframe charts.
Confirming intraday trend direction
Spotting clean entries around VWAP pullbacks
Filtering out noise during high-volatility sessions
Building confluence with other technical tools
Skew DetectorSkew Detector is a statistical bias analyzer designed to measure and visualize market asymmetry using range-based skewness.
It helps traders identify when price movements are stretching too far in one direction — signaling potential imbalance, exhaustion, or continuation bias in momentum.
The indicator computes three independent measures of skewness — mean, median, and mode — across a customizable lookback window. These are plotted as reference lines against a synthetic "skew candle" series, allowing you to visualize how current market skew compares to its historical distribution.
When the background turns green, it indicates that the market’s current skew is greater than all three reference measures — suggesting bullish dominance or upward distortion in price movement.
When it turns red, the opposite is true — signaling potential downside bias or negative skew.
Features
Measures mean, median, and mode of return-based skewness.
Highlights extreme bias conditions through dynamic background coloring.
Visualizes a synthetic skew candle series to track short-term fluctuations.
Fully customizable lookback length and histogram resolution.
Swing Data - SimplifiedThe swing data indicator by jfsrev but simplified. Thank you jfsrev for your work!
CPR by VictorVCentral Pivot Range
Where price is vs CPR
Above TC: bullish bias; TC/BC act as support. Hold above TC → trend day likely.
Inside CPR (BC–TC): balanced/choppy; expect mean reversion between edges until a clean break.
Below BC: bearish bias; BC/TC act as resistance.
Width of the CPR
Narrow: energy coiled → higher chance of breakout/trend day.
Wide: balanced market → range-bound behavior more likely.
Shift vs yesterday
CPR shifted up: bullish undertone.
Shifted down: bearish undertone.
Overlapping: neutral/indecisive.
Intraday tells
Acceptance: Several candles holding outside BC/TC = expansion in that direction.
Rejection: Wicks through BC/TC that close back inside = likely fade back toward the opposite edge.
Pivot (P) magnet: On non-trend days, price often gravitates back to P.
Bitcoin Halving Cycle Strategy ProBitcoin Halving Cycle Strategy Pro - Advanced Market Cycle Analysis Tool
This professional indicator analyzes Bitcoin's 4-year halving cycles using precise mathematical calculations. It identifies bull and bear market phases based on 500 days before and 560 days after each halving event, providing traders with data-driven market cycle insights.
Key Features:
• Automatic Bull/Bear Market Zone Detection with color-coded areas
• Historical Halving Analysis (2012-2028) with future projections
• Live Performance Tracking during bull phases (returns, max drawdown)
• Customizable cycle parameters (days before/after halving)
• Interactive info table showing current cycle phase and metrics
• Visual timeline markers for halving dates and cycle boundaries
Perfect for long-term Bitcoin investors, cycle analysts, and traders who want to understand market psychology and timing based on historical halving patterns. Uses proven 1060-day cycle theory backed by empirical data.
Rebound Sigma Pro - IndicatorOverview
Rebound Sigma Pro is a mean-reversion indicator that detects statistically oversold conditions in trending markets.
It helps traders identify potential short-term rebounds based on momentum exhaustion and volatility-adjusted entry zones.
Concept
The indicator combines two quantitative components:
Short-term momentum to detect short-term exhaustion
Trend filter to ensure setups align with the long-term direction
When a stock in an uptrend becomes temporarily oversold, a limit-entry signal is plotted.
The trade is then tracked until short-term conditions normalize or a time-based exit occurs.
Visual Signals
Green Triangle: Suggests placing a limit order for the next session
Green Circle: Confirms entry was filled
Red Triangle: Signals an exit for the next session’s open
Orange Background: Pending order
Green Background: Position active
Red Background: Exit phase
Yellow Line: Entry reference price
User Inputs
Limit Entry (% below previous close) – Default 1 %
Use Limit Entry – Switch between limit or market entries
Enable Time Exit – Optional holding-period constraint
Maximum Holding Days
All other internal parameters (momentum length, filters) are pre-configured.
Alerts
Limit Order Signal: New setup detected
Entry Confirmed: Order filled
Exit Signal: Exit expected next day
Usage
Designed for liquid equities and ETFs
Works best in confirmed uptrends
Backtesting encouraged to adapt parameters per symbol and timeframe
Notes
Not an automated strategy; manual order execution required
Past behavior does not imply future performance
Always apply sound position sizing and risk management
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or performance assurance.
Uptrick: Relative Strength Rotation SystemIntroduction
The Uptrick: Relative Strength Rotation System is an indicator engineered to implement a regime-aware tactical allocation strategy across a predefined set of user-specified assets. It visualizes a simulated equity curve produced by a closed, managed rotation engine. The system is designed to identify relative strength relationships dynamically and rotate into stronger-performing assets, while offering an optional fallback into a defensive state when market conditions are deemed unfavorable by the logic.
Overview
This indicator allocates capital by continuously evaluating the relative strength between all asset pairs within the selected group. Unlike simplistic momentum models or rank-based selectors, this system uses internally calculated scores that compare each asset across multiple dimensions, forming a comprehensive decision matrix. These scores are evaluated through a regime-aware layer that determines whether the system should remain invested or move into an idle allocation. The rotation logic is implemented through a rebalancing structure that maintains exposure to a single asset at any time, or transitions into a fallback asset such as cash or PAXG based on internal conditions. Outputs include a dynamically colored equity curve, context-sensitive labels, and optional overlays comparing buy-and-hold performance of the selected assets.
Originality
The indicator utilizes a scoring matrix based on custom asset-to-asset comparative ratios, resulting in a relational framework that evaluates assets in the context of each other rather than in isolation. Each asset is analyzed through multiple statistical dimensions, including trend strength and normalized deviation using Z-score calculations. These metrics form the foundation of an adaptive matrix used to derive consensus leadership. A key differentiator lies in the optional routing of idle allocations to PAXG—a tokenized gold asset—offering a non-cash defensive alternative that introduces both diversification and risk modulation not typically seen in rotation models. The engine also includes an override layer that filters decisions through market state awareness, adding tactical discipline during ambiguous or bearish regimes. Taken together, these features form a self-contained rotation mechanism with multiple embedded controls and fallback logic, all of which are abstracted from the user.
Inputs and Features
Exponential Length (EMA Length)
Specifies the smoothing length used by one of the internal scoring models. Lower values allow for more responsive asset comparisons, while longer values smooth out short-term volatility in score changes.
Z Score
Controls the statistical lookback length used for normalized relative comparisons. This Z-score is a cornerstone of the system’s comparative matrix, standardizing inter-asset ratio behaviors to detect statistically significant deviations from recent behavior. It allows the rotation engine to isolate and prioritize sustained leadership across assets, regardless of price volatility.
Rebalance Every N Bars
Sets how frequently the system evaluates potential changes in leadership. This controls the cadence of reallocation and can be tuned for faster or slower responsiveness.
When Bearish / Neutral, go to
Lets the user select how the system behaves during non-confirmed or bearish conditions. It can either route to a flat cash-equivalent state or into a user-defined defensive asset (such as PAXG), introducing an added layer of optional protection.
Cash Filter
Activates an override that forces the system into an idle state during unfavorable market regimes, even if a leader is otherwise present. This regime-aware mechanism adds another layer of conditional control to mitigate exposure risk.
Start Date
Defines the point in history from which the equity simulation begins. All calculations and equity values prior to this point are excluded.
Asset Inputs (Asset 1 to Asset 4)
Allow the user to specify up to four assets to be evaluated within the rotation universe. These may include crypto, forex, or other tradable symbols supported by TradingView.
PAXG Fallback Asset
Specifies the asset used as a fallback when the idle state is active and the defensive mode is set to PAXG rather than cash.
Color Settings
Users can customize the chart color palette for each asset and idle condition for enhanced clarity.
HODL Curve Toggles
Enable buy-and-hold equity curves for each input asset to be plotted for direct performance comparison with the system’s output.
Simple Mode
Reduces visual noise by simplifying the chart’s appearance and removing optional elements.
Background Color and Shadow Equity Fill
Offer additional styling options that reflect the system's current allocation, enhancing chart readability.
COLORED EQUITY CURVE - PAXG
COLORED EQUITY CURVE - CASH
SYSTEM
Current System Text Color
Allows further customization of label text for visibility across different asset themes.
Summary
The Uptrick: Relative Strength Rotation System is a rotation engine that leverages a proprietary scoring matrix to simulate tactical asset allocation. It analyzes inter-asset behavior through pairwise ratio metrics and statistically normalized scoring methods, enabling it to identify leadership dynamics within a defined universe. The inclusion of PAXG as a defensive fallback, regime-aware cash filtering, and customizable rebalancing cadence gives the system adaptability beyond traditional relative strength models. Users are provided with transparent visual feedback through an equity curve, contextual labels, buy-and-hold overlays, and real-time equity statistics. The system is not designed to disclose its internal mechanics, but it enables full visualization of its output and decisions for comparative analysis.
Disclaimer
This script is intended solely for educational and informational purposes. It does not constitute financial advice, trading signals, or an offer to buy or sell any financial instrument. Trading and investing carry risk, and past performance does not guarantee future outcomes. Users should perform their own research and consult a licensed financial advisor before making trading decisions.
AlphaRadar - Market📊 ALPHARADAR - MARKET MONITOR
⚠️ IMPORTANT
🔴 This indicator MUST be used ONLY on DAILY (1D) timeframe. It will not work correctly on other timeframes.
Overview:
Real-time market and sector performance dashboard displaying major US indices and all 11 sector ETFs in a single, organized panel. Track market rotation and sector strength at a glance.
Features:
- Market Indices (4): SPY (S&P 500), QQQ (Nasdaq), IWM (Russell 2000), DIA (Dow Jones)
- Sector ETFs (11): Complete coverage of all US market sectors
- Performance Tracking: Day, 5D, 1M, 6M, and YTD returns
- Color-Coded: 🟢 Green (positive) / 🔴 Red (negative) for instant visual analysis
What You Can Track:
✅ Market breadth (all indices moving together vs divergence)
✅ Sector rotation (which sectors are leading/lagging)
✅ Risk-on vs Risk-off sentiment
✅ Short-term momentum (Day, 5D)
✅ Medium-term trends (1M, 6M)
✅ Year-to-date performance leaders
Market Sectors Included:
- XLC (Communication)
- XLY (Consumer Discretionary)
- XLP (Consumer Staples)
- XLE (Energy)
- XLF (Financials)
- XLV (Healthcare)
- XLI (Industrials)
- XLB (Materials)
- XLRE (Real Estate)
- XLK (Technology)
- XLU (Utilities)
How to Use:
🔍 Spot Market Rotation: Identify which sectors are outperforming
📈 Confirm Trends: All green = strong market, all red = market weakness
⚡ Find Opportunities: Rotate into leading sectors, avoid lagging ones
🎯 Risk Management: Divergence between indices = potential warning signal
Best For:
- Sector rotation strategies
- Market breadth analysis
- Swing trading
- Portfolio allocation decisions
- Daily market monitoring
Notes:
- Data updates in real-time during market hours
- All calculations based on daily closing prices
- Works with any chart symbol
- Free to use
🔔 Remember: Use DAILY (1D) charts only!
CISD Risk Calculator for futures tradingCISD Risk Calculator Indicator Explanation
The CISD Risk Calculator is a specialized trading indicator that helps traders identify key market structure changes and automatically calculate optimal position sizing based on risk parameters. Here's a detailed explanation of what it does:
Core Functionality: CISD Detection
CISD stands for "Change In Structure Direction," which identifies important shifts in market structure:
Market Structure Analysis: The indicator constantly analyzes price action to detect when the market structure changes from bullish to bearish or vice versa.
Bullish CISD: Occurs when price makes a higher high, then retraces, but fails to make a lower low. This suggests a potential bullish continuation.
Bearish CISD: Occurs when price makes a lower low, then bounces, but fails to make a higher high. This suggests a potential bearish continuation.
Risk Calculation Features
The primary purpose of this modified indicator is to calculate trading risk:
Points Risk Calculation: The indicator measures the distance in points (price units) between the current price and the relevant structure level (high or low).
Automatic Contract Value Detection: It automatically detects what instrument you're trading (ES, NQ, MES, MNQ) and applies the correct point value:
NQ: $20 per point
MNQ: $2 per point
ES: $50 per point
MES: $5 per point
Position Sizing Calculation: Using your inputted dollar risk amount (e.g., $250), it calculates exactly how many contracts you should trade to maintain that risk level.
Visual Interface
The indicator has a minimalist design:
Central Display Panel: Shows key information at the top center of your chart:
CISD Type (Bullish or Bearish)
Points Risk (distance to your stop level)
Trade Risk (recommended number of contracts)
Invisible CISD Levels: The actual CISD lines and markers are completely invisible, keeping your chart clean while still performing calculations.
Simple Settings: Only shows essential settings:
Dollar Risk Amount: How much money you want to risk
Label Color and Text Color: For visual customization
Text Size: Adjusts the display size
NQ → NAS100 Converter by Dr WThis indicator allows traders to quickly and accurately convert stop levels from NQ (E-mini Nasdaq futures) to NAS100 (CFD) values, helping users who trade across different instruments to manage risk consistently.
Key Features:
Real-time Price Conversion:
Displays the current NQ futures price and the corresponding NAS100 price on your chart, updated every bar.
Stop Distance Conversion:
Converts a user-defined stop distance in NQ points into the equivalent NAS100 stop level using proportional scaling based on current market prices.
Customizable Labels:
Choose between Candle-attached labels (appearing near the bar) or Chart-fixed labels (HUD style).
Adjust label position, background color, text color, and label style (left, right, center).
Flexible Display Options:
Show/hide NQ price, NAS100 price, and converted stop independently.
Perfect for traders who want a quick visual reference without cluttering the chart.
Trading Direction Support:
Select Long or Short trades, and the stop conversion automatically adapts to the trade direction.
How It Works:
The indicator requests the latest NQ and NAS100 prices at your chart’s timeframe.
It calculates the NAS100 stop using the formula:
NAS_Stop = NAS_Price ± (Stop_NQ_Points / NQ_Price * NAS_Price)
+ is used for short trades, - for long trades.
The converted stop, along with the underlying prices, is displayed according to your label settings.
Use Cases:
Risk management for cross-instrument traders.
Quickly visualizing equivalent stops when trading NQ futures vs NAS100 CFDs.
An educational tool to understand proportional stop sizing between instruments.
TradingView Policy Compliance Notes:
The indicator does not provide trading advice or signals; it only performs calculations and visualizations.
It does not execute trades or connect to brokerage accounts.
All values displayed are informational only; users should independently verify stop levels before placing trades.
