Rifaat Ultra Gold AI v6.1🔄 SL moves with each new candle if the price moves in favor of the trade.
🟢 Break-Even Protection
If a certain profit percentage is reached, the SL is moved to the entry point (zero loss).
🔕 Audio and Visual Alerts
A sound notification on buy/sell signals.
A visual alert on the screen.
🎛️ Settings Control
Adjustable from the settings menu.
Statistics
WLSMA: fast approximation🙏🏻 Sup TV & @alexgrover
O(N) algocomplexity, just one loop inside. No, you can't do O(1) @ updates in moving window mode, only expanding window will allow that.
Now I have time series & stats models of my own creation, nowhere else available, just TV and my github for now, ain’t no legacy academic industry I always have fun about, but back in 2k20 when I consciously ain’t known much about quant, I remember seeing post by @alexgrover recreating Moving Regression Endpoint dropped on price chart (called LSMA here) as a linear filter combination of filters (yea yeah DSP terms) as 3WMA - 2SMA. Now it’s my time to do smth alike aye?
...
This script is remake of my 1st degree WLSMA via linear filter combo. It’s much faster, we aint calculate moving regression per se, we just match its freq response. You can see it on the screen (WLSMAfa) almost perfectly matching the original one (WLSMA).
...
While humans like to overfit, I fw generalizations. So your lovely WMA is actually just one case of a more general weight pattern: pow(len - i, e), where pow is the power function and e is the exponent itself. So:
- If e = 0, then we have SMA (every number in 0th power is one)
- If e = 1, we get WMA
- If e = 2, we get quadratic weights.
We can recreate WLSMA freq response then by combining 2 filters with e = 1 and e = 2.
This is still an approximation, even tho enormously precise for the tasks you’ve shared with me. Due to the non-linear nature of the thing it’s all we can do, and as window size grows, even this small discrepancy converges with true WLSMA value, so we’re all good. Pls don’t try to model this 0.00xxxx discrepancy, it’s not natural.
...
DSP approach is unnatural for prices, but you can put this thing on volume delta and be happy, or on other metrics of yours, if for some reason u dont wanna estimate thresholds by fitting a distro.
All good TV
∞
P.S.: strangely, the first script made & dropped in the location in Saint P where my actual quant way has started ~5 years ago xD, very thankful
Premarket & ORB Body High/Low Lines Till Market CloseDraw horizontal line for PRE-MARKET and ORB --Wicks is excluded.
What it does:
Tracks premarket body high/low 4:00–9:29 AM NY time
Tracks Opening Range Breakout (ORB) body high/low 9:30–9:44 AM NY time
Draws horizontal lines extended right until you scroll forward (no fixed length)
Labels show current value and update dynamically
Resets everything cleanly at the start of each new day
IFF Visual FX v2.4IFF Visual FX v2.4 is an advanced visual module for detecting market phase shifts.
This script displays:
✅ Phase change labels (buy/sell).
✅ Reaccumulation and Redistribution zones.
✅ Tolerated pullbacks.
✅ Strong acceleration signals.
✅ Real-time phase transitions.
Based on smoothed acceleration, dynamic slope, and proprietary Phase Strength Index (IFF).
Designed to help traders anticipate market phase transitions and optimize decision-making in indices, commodities, forex, and cryptocurrencies.
Invite-only script.
To get access: contact via DM or through Gumroad.
MÈGAS ALGO : MÈGAS Signals [INDICATOR]Overview
The MÈGAS Signals is a cutting-edge, multi-functional trading tool designed for advanced traders seeking to identify high-probability trade setups. This script combines price action analysis, machine learning techniques, and real-time signal generation across multiple timeframes to provide actionable insights. The indicator is optimized for both bullish and bearish market conditions and includes features like backtesting metrics, take-profit tools, and customizable alerts.
Key Features
1. Machine Learning and Statistical Clustering
The script implements the K-Means clustering algorithm , a widely used unsupervised machine learning technique, to segment historical price movements into distinct clusters based on magnitude and distribution characteristics. These clusters represent quantized levels of bullish and bearish momentum, enabling the system to adaptively model market behavior across varying volatility regimes.
By applying this statistical clustering approach to real-time price data, the algorithm dynamically identifies meaningful thresholds for key Smart Money Concepts (SMC) such as Break of Structure (BOS) and Change of Character (CHOCH) . This integration enhances classical SMC logic with a data-driven, self-adjusting mechanism that responds to evolving market conditions, effectively bridging traditional price action analysis with modern machine learning methodologies.
2.Multi-Timeframe Table:
A dynamic, real-time multi-timeframe table displayed on the chart that provides at-a-glance insight into:
-Current trend or signal status per timeframe
-Percentage price change relative to the previous bar
-Countdown to the next bar open , updated every second
This table empowers traders with cross-timeframe context , helping them identify confluence, reversals, or divergences across multiple horizons — from scalping (1m) to long-term trends (1D).
3.Dynamic Trailing Stops with Enhanced Visualization
The dynamic trailing stop mechanism adjusts based on volatility clusters, ensuring tighter risk
management during low-volatility periods and wider stops during high-volatility phases.
The feed speed feature enhances visualization by adjusting the transparency of candle
coloring relative to the trailing stop. This makes it easier to interpret trend strength and
momentum, allowing traders to stay ahead of price action.
4.Customizable Alerts for Seamless Execution
Sublimia Signals offers highly customizable alerts that can be tailored to specific timeframes
and trading preferences.
With the intra-bar calculation feature, alerts can be triggered on every tick rather than just
on bar close, empowering traders to act swiftly in fast-moving markets.
Personalized alert messages allow you to create clear and concise notifications for entry and
exit points, streamlining your trading workflow.
5.Comprehensive Backtesting Metrics
The built-in performance metrics table provides detailed backtesting results, including total
trades, win rates, cumulative profit/loss, profit factor, best profit, and worst loss for both
long and short positions.
These metrics enable traders to evaluate the effectiveness of their strategies and optimize
input parameters for better performance.
6.Non-Standard Candle Integration for Smoother Price Action Analysis
The optional Non-Standard Candle toggle allows users to switch between "Traditional", "Heikin-Ashi", "Volume-Weighted" and "Hybrid" candles.
This feature is particularly useful for identifying trends and filtering out market noise, while
backtesting remains based on normal candles to ensure accuracy.
7.Intra-Bar Calculation for Granular Insights
When enabled, the intra-bar calculation feature provides granular insights into price
movements within each bar, offering traders a deeper understanding of market dynamics.
This feature also modifies the algorithm's logic, triggering alerts on every tick rather than just
on bar close, making it ideal for scalpers and day traders who need ultra-responsive tools.
8.Take-Profit/Trailing-Profit Tools: Precision and Flexibility
This feature allows you to set multiple profit levels with customizable percentage
distances, giving you unparalleled control over your trades.
Selectable Type of exit mode : Take-Profit or Trailing-Profit.
Selectable Number of Profit Levels: Define as many profit targets as you need,
ensuring you can capture profits at different stages of price movement.
Percentage-Based Distance: Set each profit level based on a percentage distance from
your entry point. This ensures precise positioning tailored to your risk-reward preferences.
Integrated Alerts: Never miss an opportunity! The tool includes built-in alerts that notify you
when each take-profit level is reached, keeping you informed in real-time.
9.Optimized Visualization
The script ensures optimized visualization of trend strength through smooth transitions in
candle transparency, making it easier to interpret market momentum.
The feed speed parameter calculates how quickly the candle coloring adjusts relative to the
trailing stop, enhancing clarity and decision-making.
How it work
Identify the Primary Trend Using Multi-Timeframe Analysis :
Focus on Higher Timeframes : Start by analyzing the 4h, 8h, or 24h timeframes to determine the primary trend. These higher timeframes provide a clearer picture of long-term momentum.
The built-in table provides real-time updates across all primarly timeframes. Look for confluence—when multiple timeframes align in the same direction.
Confirm Entry Points Using Lower Timeframes :
Fine-Tune Entries with Shorter Timeframes : Once you’ve identified the primary trend, use lower timeframes (e.g., 1m, 5m, or 15m ) to confirm entry points.
Set Take-Profit Levels Based on Percentage Distances :
Customizable Take-Profit Tools : Use the take-profit feature to set multiple levels based on percentage distances from your entry point.
Use Customizable Alerts for Real-Time Updates :
Enable alerts for specific timeframes (e.g., 4h, 8h, 15m) to stay informed about changes in the primary trend or short-term opportunities.
For fast-moving markets, enable the intra-bar calculation feature to receive alerts on every tick, ensuring you don’t miss critical entries or exits.
Backtesting for Strategy Optimization :
Performance Metrics : Use the backtesting metrics table to evaluate how well your trend-following strategy performs over time. Analyze win rates, profit factor, and best/worst trades to refine your approach.
Adjust Inputs : Fine-tune settings like slippage and commission(%) to optimize the indicator for your prefer pair.
Please Note:
This indicator is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
AXR-VolSD-Loc📈 AXR-VolSD-Loc — Volatility & Range Mapping Tool for Smart Traders
The AXR-VolSD-Loc indicator is a professional-grade tool designed for traders who rely on precise volatility analysis and structured range-based levels. It combines dynamic volatility bands with configurable price ranges such as ADR, AWR, AMR, and AQR — offering strategic clarity across all timeframes.
🔍 Key Features
Multi-Timeframe Range Calculation
Supports Daily (ADR), Weekly (AWR), Monthly (AMR), and Quarterly (AQR) ranges — each with independent period controls.
Standard Deviation Volatility Bands
Automatically or manually calculate standard deviation (%) to plot multiple upper/lower levels from a base price reference.
Fully Customizable Lines & Labels
Choose the number of bands, enable half-volatility levels, apply color gradients, customize line styles, widths, label positions, font sizes and offsets.
Flexible Anchor Logic
Set the base line for volatility from Hi/Lo/50%/0% of AXR, or input your own manual price — ideal for ICT model alignment.
Smart Visuals & Optimized Drawing
Clean line and label management using line.new() and label.new() with efficient updates only when required.
Data Table & Summary Panel
Floating table displays key metrics like high/low range, midpoint, volatility settings, and source references.
Built-In Alerts
Receive alerts when price approaches key volatility levels or AXR range extremes — ideal for anticipating institutional behavior.
🛠️ How to Use & Configure
1. Choose the Range Mode
In "AXR Mode & Period Settings", select your preferred range type:
Daily (ADR) – Short-term or intraday.
Weekly (AWR) – Medium swing positions.
Monthly (AMR) – Optimal for higher-timeframe structure.
Quarterly (AQR) – Best for macro-level zones.
Then define the number of days/weeks/months/quarters used to calculate each.
2. Define the Volatility Base Line
Under "Volatility Base Line Settings", configure the anchor:
Use 0% AXR for midpoint, or Hi/Lo/50% for edges.
Manual mode allows custom price input.
Adjust the line color, style, and thickness.
3. Configure Standard Deviation
In "Standard Deviation - Calculation & Levels", select the source:
Automatic AXR — calculates % based on AXR range.
Manual — allows custom % input.
Define how many levels above/below the base line.
Use the scale factor to adjust relative strength (e.g., 0.5 = 50% of AXR).
4. Adjust Visual Display
In "Display & Labels":
Enable or disable volatility lines.
Use color progression for intensity from blue to red.
Show or hide intermediate lines (half deviation).
Choose label alignment: right, center, or left.
Fine-tune label position with candle offset and text size.
5. Extend Lines and Define Visibility
You can choose to extend the lines left, right or both directions — or use a fixed number of bars when not extended.
This applies to both volatility lines and AXR levels.
6. Show AXR Hi/Lo/50%/0% Lines
In "AXR Levels":
Enable display of Hi, Lo, midpoint, and 50% levels.
Toggle display of AXR open levels (MO-based).
Customize style, color and width of each line.
7. Enable the Table (Optional)
Turn on the floating data table to see a quick summary:
Range high/low/midpoint.
Volatility multiplier.
Source (manual vs automatic).
Period length.
Useful for fast review during market sessions.
8. Alerts
Receive automated alerts when price approaches:
AXR Hi/Lo
0% midpoint level
Custom-defined deviation bands
✅ Use Cases
Define and monitor volatility zones around structured ranges.
Combine AMR or AQR with deviation bands for swing setups.
React to price imbalances at 50% or 0% AXR zones.
Integrate with order blocks, liquidity zones or ICT-based confluences.
Questions or suggestions? Contact us via TradingView message or in the comments.
Happy trading!
Uptrick: Z-Trend BandsOverview
Uptrick: Z-Trend Bands is a Pine Script overlay crafted to capture high-probability mean-reversion opportunities. It dynamically plots upper and lower statistical bands around an EMA baseline by converting price deviations into z-scores. Once price moves outside these bands and then reenters, the indicator verifies that momentum is genuinely reversing via an EMA-smoothed RSI slope. Signal memory ensures only one entry per momentum swing, and traders receive clear, real-time feedback through customizable bar-coloring modes, a semi-transparent fill highlighting the statistical zone, concise “Up”/“Down” labels, and a live five-metric scoring table.
Introduction
Markets often oscillate between trending and reverting, and simple thresholds or static envelopes frequently misfire when volatility shifts. Standard deviation quantifies how “wide” recent price moves have been, and a z-score transforms each deviation into a measure of how rare it is relative to its own history. By anchoring these bands to an exponential moving average, the script maintains a fluid statistical envelope that adapts instantly to both calm and turbulent regimes. Meanwhile, the Relative Strength Index (RSI) tracks momentum; smoothing RSI with an EMA and observing its slope filters out erratic spikes, ensuring that only genuine momentum flips—upward for longs and downward for shorts—qualify.
Purpose
This indicator is purpose-built for short-term mean-reversion traders operating on lower–timeframe charts. It reveals when price has strayed into the outer 5 percent of its recent range, signaling an increased likelihood of a bounce back toward fair value. Rather than firing on price alone, it demands that momentum follow suit: the smoothed RSI slope must flip in the opposite direction before any trade marker appears. This dual-filter approach dramatically reduces noise-driven, false setups. Traders then see immediate visual confirmation—bar colors that reflect the latest signal and age over time, clear entry labels, and an always-visible table of metric scores—so they can gauge both the validity and freshness of each signal at a glance.
Originality and Uniqueness
Uptrick: Z-Trend Bands stands apart from typical envelope or oscillator tools in four key ways. First, it employs fully normalized z-score bands, meaning ±2 always captures roughly the top and bottom 5 percent of moves, regardless of volatility regime. Second, it insists on two simultaneous conditions—price reentry into the bands and a confirming RSI slope flip—dramatically reducing whipsaw signals. Third, it uses slope-phase memory to lock out duplicate signals until momentum truly reverses again, enforcing disciplined entries. Finally, it offers four distinct bar-coloring schemes (solid reversal, fading reversal, exceeding bands, and classic heatmap) plus a dynamic scoring table, rather than a single, opaque alert, giving traders deep insight into every layer of analysis.
Why Each Component Was Picked
The EMA baseline was chosen for its blend of responsiveness—weighting recent price heavily—and smoothness, which filters market noise. Z-score deviation bands standardize price extremes relative to their own history, adapting automatically to shifting volatility so that “extreme” always means statistically rare. The RSI, smoothed with an EMA before slope calculation, captures true momentum shifts without the false spikes that raw RSI often produces. Slope-phase memory flags prevent repeated alerts within a single swing, curbing over-trading in choppy conditions. Bar-coloring modes provide flexible visual contexts—whether you prefer to track the latest reversal, see signal age, highlight every breakout, or view a continuous gradient—and the scoring table breaks down all five core checks for complete transparency.
Features
This indicator offers a suite of configurable visual and logical tools designed to make reversal signals both robust and transparent:
Dynamic z-score bands that expand or contract in real time to reflect current volatility regimes, ensuring the outer ±zThreshold levels always represent statistically rare extremes.
A smooth EMA baseline that weights recent price more heavily, serving as a fair-value anchor around which deviations are measured.
EMA-smoothed RSI slope confirmation, which filters out erratic momentum spikes by first smoothing raw RSI and then requiring its bar-to-bar slope to flip before any signal is allowed.
Slope-phase memory logic that locks out duplicate buy or sell markers until the RSI slope crosses back through zero, preventing over-trading during choppy swings.
Four distinct bar-coloring modes—Reversal Solid, Reversal Fade, Exceeding Bands, Classic Heat—plus a “None” option, so traders can choose whether to highlight the latest signal, show signal age, emphasize breakout bars, or view a continuous heat gradient within the bands.
A semi-transparent fill between the EMA and the upper/lower bands that visually frames the statistical zone and makes extremes immediately obvious.
Concise “Up” and “Down” labels that plot exactly when price re-enters a band with confirming momentum, keeping chart clutter to a minimum.
A real-time, five-metric scoring table (z-score, RSI slope, price vs. EMA, trend state, re-entry) that updates every two bars, displaying individual +1/–1/0 scores and an averaged Buy/Sell/Neutral verdict for complete transparency.
Calculations
Compute the fair-value EMA over fairLen bars.
Subtract that EMA from current price each bar to derive the raw deviation.
Over zLen bars, calculate the rolling mean and standard deviation of those deviations.
Convert each deviation into a z-score by subtracting the mean and dividing by the standard deviation.
Plot the upper and lower bands at ±zThreshold × standard deviation around the EMA.
Calculate raw RSI over rsiLen bars, then smooth it with an EMA of length rsiEmaLen.
Derive the RSI slope by taking the difference between the current and previous smoothed RSI.
Detect a potential reentry when price exits one of the bands on the prior bar and re-enters on the current bar.
Require that reentry coincide with an RSI slope flip (positive for a lower-band reentry, negative for an upper-band reentry).
On first valid reentry per momentum swing, fire a buy or sell signal and set a memory flag; reset that flag only when the RSI slope crosses back through zero.
For each bar, assign scores of +1, –1, or 0 for the z-score direction, RSI slope, price vs. EMA, trend-state, and reentry status.
Average those five scores; if the result exceeds +0.1, label “Buy,” if below –0.1, label “Sell,” otherwise “Neutral.”
Update bar colors, the semi-transparent fill, reversal labels, and the scoring table every two bars to reflect the latest calculations.
How It Actually Works
On each new candle, the EMA baseline and band widths update to reflect current volatility. The RSI is smoothed and its slope recalculated. The script then looks back one bar to see if price exited either band and forward to see if it reentered. If that reentry coincides with an appropriate RSI slope flip—and no signal has yet been generated in that swing—a concise label appears. Bar colors refresh according to your selected mode, and the scoring table updates to show which of the five conditions passed or failed, along with the overall verdict. This process repeats seamlessly at each bar, giving traders a continuous feed of disciplined, statistically filtered reversal cues.
Inputs
All parameters are fully user-configurable, allowing you to tailor sensitivity, lookbacks, and visuals to your trading style:
EMA length (fairLen): number of bars for the fair-value EMA; higher values smooth more but lag further behind price.
Z-Score lookback (zLen): window for calculating the mean and standard deviation of price deviations; longer lookbacks reduce noise but respond more slowly to new volatility.
Z-Score threshold (zThreshold): number of standard deviations defining the upper and lower bands; common default is 2.0 for roughly the outer 5 percent of moves.
Source (src): choice of price series (close, hl2, etc.) used for EMA, deviation, and RSI calculations.
RSI length (rsiLen): period for raw RSI calculation; shorter values react faster to momentum changes but can be choppier.
RSI EMA length (rsiEmaLen): period for smoothing raw RSI before taking its slope; higher values filter more noise.
Bar coloring mode (colorMode): select from None, Reversal Solid, Reversal Fade, Exceeding Bands, or Classic Heat to control how bars are shaded in relation to signals and band positions.
Show signals (showSignals): toggle on-chart “Up” and “Down” labels for reversal entries.
Show scoring table (enableTable): toggle the display of the five-metric breakdown table.
Table position (tablePos): choose which corner (Top Left, Top Right, Bottom Left, Bottom Right) hosts the scoring table.
Conclusion
By merging a normalized z-score framework, momentum slope confirmation, disciplined signal memory, flexible visuals, and transparent scoring into one Pine Script overlay, Uptrick: Z-Trend Bands offers a powerful yet intuitive tool for intraday mean-reversion trading. Its adaptability to real-time volatility and multi-layered filter logic deliver clear, high-confidence reversal cues without the clutter or confusion of simpler indicators.
Disclaimer
This indicator is provided solely for educational and informational purposes. It does not constitute financial advice. Trading involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own testing and apply careful risk management before trading live.
Day Separator with Day LabelsAdjustable day separator that paints vertical lines through the start of day. Default set to GMT however totally customisable.
Has the day of week ladled also which is also optional in position.
there is a check box for a light chart background chart but default is dark background.
Vertical lines are customisable regarding thickness and colour.
Pretty new to it all so welcome feedback and amendment ideas.
PCA Regime-Adjusted MomentumSummary
The PCA Regime-Adjusted Momentum (PCA-RAM) is an advanced market analysis tool designed to provide nuanced insights into market momentum and structural stability. It moves beyond traditional indicators by using Principal Component Analysis (PCA) to deconstruct market data into its most essential patterns.
The indicator provides two key pieces of information:
A smoothed momentum signal based on the market's dominant underlying trend.
A dynamic regime filter that gauges the stability and clarity of the market's structure, advising you when to trust or fade the momentum signals.
This allows traders to not only identify potential shifts in momentum but also to understand the context and confidence behind those signals.
Core Concepts & Methodology
The strength of this indicator lies in its sound, data-driven methodology.
1. Principal Component Analysis (PCA)
At its core, the indicator analyzes a rolling window (default 50 periods) of standardized market data (Open, High, Low, Close, and Volume). PCA is a powerful statistical technique that distills this complex, 5-dimensional data into its fundamental, uncorrelated components of variance. We focus on the First Principal Component (PC1), which represents the single most dominant pattern or "theme" driving the market's behavior in the lookback window.
2. The Momentum Signal
Instead of just looking at price, we project the current market data onto this dominant underlying pattern (PC1). This gives us a raw "projection score" that measures how strongly the current bar aligns with the historically dominant market structure. This raw score is then smoothed using two an exponential moving averages (a fast and a slow line) to create a clear, actionable momentum signal, similar in concept to a MACD.
3. The Dynamic Regime Filter
This is arguably the indicator's most powerful feature. It answers the question: "How clear is the current market picture?"
It calculates the Market Concentration Ratio, which is the percentage of total market variance explained by PC1 alone.
A high ratio indicates that the market is moving in a simple, one-dimensional way (e.g., a clear, strong trend).
A low ratio indicates the market is complex, multi-dimensional, and choppy, with no single dominant theme.
Crucially, this filter is dynamic. It compares the current concentration ratio to its own recent average, allowing it to adapt to any asset or timeframe. It automatically learns what "normal" and "choppy" look like for the specific chart you are viewing.
How to Interpret the Indicator
The indicator is displayed in a separate pane with two key visual elements:
The Momentum Lines (White & Gold)
White Line: The "Fast Line," representing the current momentum.
Gold Line: The "Slow Line," acting as the trend confirmation.
Bullish Signal: A crossover of the White Line above the Gold Line suggests a shift to positive momentum.
Bearish Signal: A crossover of the White Line below the Gold Line suggests a shift to negative momentum.
The Regime Filter (Purple & Dark Red Background)
This is your confidence gauge.
Navy Blue Background (High Concentration): The market structure is stable, simple, and trending. Momentum signals are more reliable and should be given higher priority.
Dark Red Background (Low Concentration): The market structure is complex, choppy, or directionless. Momentum signals are unreliable and prone to failure or "whipsaws." This is a signal to be cautious, tighten stops, or potentially stay out of the market.
Potential Trading Strategies
This tool is versatile and can be used in several ways:
1. Primary Signal Strategy
Condition: Wait for the background to turn Purple, confirming a stable, high-confidence regime.
Entry: Take the next crossover signal from the momentum lines (White over Gold for long, White under Gold for short).
Exit/Filter: Consider exiting positions or ignoring new signals when the background turns Navy.
2. As a Confirmation or Filter for Your Existing Strategy
Do you have a trend-following system? Only enable its long and short signals when the PCA-RAM background is Purple.
Do you have a range-trading or mean-reversion system? It might be most effective when the PCA-RAM background is Navy, indicating a lack of a clear trend.
3. Advanced Divergence Analysis
Look for classic divergences between price and the momentum lines. For example, if the price is making a new high, but the Gold Line is making a lower high, it may indicate underlying weakness in the trend, even on a Purple background. This divergence signal is more powerful because it shows that the new price high is not being confirmed by the market's dominant underlying pattern.
Price Statistical Strategy-Z Score V 1.01
Price Statistical Strategy – Z Score V 1.01
Overview
A technical breakdown of the logic and components of the “Price Statistical Strategy – Z Score V 1.01”.
This script implements a smoothed Z-Score crossover mechanism applied to the closing price to detect potential statistical deviations from local price mean. The strategy operates solely on price data (close) and includes signal spacing control and momentum-based candle filters. No volume-based or trend-detection components are included.
Core Methodology
The strategy is built on the statistical concept of Z-Score, which quantifies how far a value (closing price) is from its recent average, normalized by standard deviation. Two moving averages of the raw Z-Score are calculated: a short-term and a long-term smoothed version. The crossover between them generates long entries and exits.
Signal Conditions
Entry Condition:
A long position is opened when the short-term smoothed Z-Score crosses above the long-term smoothed Z-Score, and additional entry conditions are met.
Exit Condition:
The position is closed when the short-term Z-Score crosses below the long-term Z-Score, provided the exit conditions allow.
Signal Gapping:
A minimum number of bars (Bars gap between identical signals) must pass between repeated entry or exit signals to reduce noise.
Momentum Filter:
Entries are prevented during sequences of three or more consecutively bullish candles, and exits are prevented during three or more consecutively bearish candles.
Z-Score Function
The Z-Score is calculated as:
Z = (Close - SMA(Close, N)) / STDEV(Close, N)
Where N is the base period selected by the user.
Input Parameters
Enable Smoothed Z-Score Strategy
Enables or disables the Z-Score strategy logic. When disabled, no trades are executed.
Z-Score Base Period
Defines the number of bars used to calculate the simple moving average and standard deviation for the Z-Score. This value affects how responsive the raw Z-Score is to price changes.
Short-Term Smoothing
Sets the smoothing window for the short-term Z-Score. Higher values produce smoother short-term signals, reducing sensitivity to short-term volatility.
Long-Term Smoothing
Sets the smoothing window for the long-term Z-Score, which acts as the reference line in the crossover logic.
Bars gap between identical signals
Minimum number of bars that must pass before another signal of the same type (entry or exit) is allowed. This helps reduce redundant or overly frequent signals.
Trade Visualization Table
A table positioned at the bottom-right displays live PnL for open trades:
Entry Price
Unrealized PnL %
Text colors adapt based on whether unrealized profit is positive, negative, or neutral.
Technical Notes
This strategy uses only close prices — no trend indicators or volume components are applied.
All calculations are based on simple moving averages and standard deviation over user-defined windows.
Designed as a minimal, isolated Z-Score engine without confirmation filters or multi-factor triggers.
MVRV Ratio [Alpha Extract]The MVRV Ratio Indicator provides valuable insights into Bitcoin market cycles by tracking the relationship between market value and realized value. This powerful on-chain metric helps traders identify potential market tops and bottoms, offering clear buy and sell signals based on historical patterns of Bitcoin valuation.
🔶 CALCULATION The indicator processes MVRV ratio data through several analytical methods:
Raw MVRV Data: Collects MVRV data directly from INTOTHEBLOCK for Bitcoin
Optional Smoothing: Applies simple moving average (SMA) to reduce noise
Status Classification: Categorizes market conditions into four distinct states
Signal Generation: Produces trading signals based on MVRV thresholds
Price Estimation: Calculates estimated realized price (Current price / MVRV ratio)
Historical Context: Compares current values to historical extremes
Formula:
MVRV Ratio = Market Value / Realized Value
Smoothed MVRV = SMA(MVRV Ratio, Smoothing Length)
Estimated Realized Price = Current Price / MVRV Ratio
Distance to Top = ((3.5 / MVRV Ratio) - 1) * 100
Distance to Bottom = ((MVRV Ratio / 0.8) - 1) * 100
🔶 DETAILS Visual Features:
MVRV Plot: Color-coded line showing current MVRV value (red for overvalued, orange for moderately overvalued, blue for fair value, teal for undervalued)
Reference Levels: Horizontal lines indicating key MVRV thresholds (3.5, 2.5, 1.0, 0.8)
Zone Highlighting: Background color changes to highlight extreme market conditions (red for potentially overvalued, blue for potentially undervalued)
Information Table: Comprehensive dashboard showing current MVRV value, market status, trading signal, price information, and historical context
Interpretation:
MVRV ≥ 3.5: Potential market top, strong sell signal
MVRV ≥ 2.5: Overvalued market, consider selling
MVRV 1.5-2.5: Neutral market conditions
MVRV 1.0-1.5: Fair value, consider buying
MVRV < 1.0: Potential market bottom, strong buy signal
🔶 EXAMPLES
Market Top Identification: When MVRV ratio exceeds 3.5, the indicator signals potential market tops, highlighting periods where Bitcoin may be significantly overvalued.
Example: During bull market peaks, MVRV exceeding 3.5 has historically preceded major corrections, helping traders time their exits.
Bottom Detection: MVRV values below 1.0, especially approaching 0.8, have historically marked excellent buying opportunities.
Example: During bear market bottoms, MVRV falling below 1.0 has identified the most profitable entry points for long-term Bitcoin accumulation.
Tracking Market Cycles: The indicator provides a clear visualization of Bitcoin's market cycles from undervalued to overvalued states.
Example: Following the progression of MVRV from below 1.0 through fair value and eventually to overvalued territory helps traders position themselves appropriately throughout Bitcoin's market cycle.
Realized Price Support: The estimated realized price often acts as a significant
support/resistance level during market transitions.
Example: During corrections, price often finds support near the realized price level calculated by the indicator, providing potential entry points.
🔶 SETTINGS
Customization Options:
Smoothing: Toggle smoothing option and adjust smoothing length (1-50)
Table Display: Show/hide the information table
Table Position: Choose between top right, top left, bottom right, or bottom left positions
Visual Elements: All plots, lines, and background highlights can be customized for color and style
The MVRV Ratio Indicator provides traders with a powerful on-chain metric to identify potential market tops and bottoms in Bitcoin. By tracking the relationship between market value and realized value, this indicator helps identify periods of overvaluation and undervaluation, offering clear buy and sell signals based on historical patterns. The comprehensive information table delivers valuable context about current market conditions, helping traders make more informed decisions about market positioning throughout Bitcoin's cyclical patterns.
Arnaud Legoux Trend Aggregator | Lyro RSArnaud Legoux Trend Aggregator
Introduction
Arnaud Legoux Trend Aggregator is a custom-built trend analysis tool that blends classic market oscillators with advanced normalization, advanced math functions and Arnaud Legoux smoothing. Unlike conventional indicators, 𝓐𝓛𝓣𝓐 aggregates market momentum, volatility and trend strength.
Signal Insight
The 𝓐𝓛𝓣𝓐 line visually reflects the aggregated directional bias. A rise above the middle line threshold signals bullish strength, while a drop below the middle line indicates bearish momentum.
Another way to interpret the 𝓐𝓛𝓣𝓐 is through overbought and oversold conditions. When the 𝓐𝓛𝓣𝓐 rises above the +0.7 threshold, it suggests an overbought market and signals a strong uptrend. Conversely, a drop below the -0.7 level indicates an oversold condition and a strong downtrend.
When the oscillator hovers near the zero line, especially within the neutral ±0.3 band, it suggests that no single directional force is dominating—common during consolidation phases or pre-breakout compression.
Real-World Example
Usually 𝓐𝓛𝓣𝓐 is used by following the bar color for simple signals; however, like most indicators there are unique ways to use an indicator. Let’s dive deep into such ways.
The market begins with a green bar color, raising awareness for a potential long setup—but not a direct entry. In this methodology, bar coloring serves as an alert mechanism rather than a strict entry trigger.
The first long position was initiated when the 𝓐𝓛𝓣𝓐 signal line crossed above the +0.3 threshold, suggesting a shift in directional acceleration. This entry coincided with a rising price movement, validating the trade.
As price advanced, the position was exited into cash—not reversed into a short—because the short criteria for this use case are distinct. The exit was prompted by 𝓐𝓛𝓣𝓐 crossing back below the +0.3 level, signaling the potential weakening of the long trend.
Later, as 𝓐𝓛𝓣𝓐 crossed below 0, attention shifted toward short opportunities. A short entry was confirmed when 𝓐𝓛𝓣𝓐 dipped below -0.3, indicating growing downside momentum. The position was eventually closed when 𝓐𝓛𝓣𝓐 crossed back above the -0.3 boundary—signaling a possible deceleration of the bearish move.
This logic was consistently applied in subsequent setups, emphasizing the role of 𝓐𝓛𝓣𝓐’s thresholds in guiding both entries and exits.
Framework
The Arnaud Legoux Trend Aggregator (ALTA) combines multiple technical indicators into a single smoothed signal. It uses RSI, MACD, Bollinger Bands, Stochastic Momentum Index, and ATR.
Each indicator's output is normalized to a common scale to eliminate bias and ensure consistency. These normalized values are then transformed using a hyperbolic tangent function (Tanh).
The final score is refined with a custom Arnaud Legoux Moving Average (ALMA) function, which offers responsive smoothing that adapts quickly to price changes. This results in a clear signal that reacts efficiently to shifting market conditions.
⚠️ WARNING ⚠️: THIS INDICATOR, OR ANY OTHER WE (LYRO RS) PUBLISH, IS NOT FINANCIAL OR INVESTMENT ADVICE. EVERY INDICATOR SHOULD BE COMBINED WITH PRICE ACTION, FUNDAMENTALS, OTHER TECHNICAL ANALYSIS TOOLS & PROPER RISK. MANAGEMENT.
Support and Resistance Logistic Regression | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Logistic Regression Support / Resistance indicator! This tool leverages advanced statistical modeling "Logistic Regressions" to identify and project key price levels where the market is likely to find support or resistance. For more information about the process, please check the "HOW DOES IT WORK ?" section.
Logistic Regression Support / Resistance Features :
Intelligent S/R Identification : The indicator uses a logistic regression model to intelligently identify and plot significant support and resistance levels.
Predictive Probability : Each identified level comes with a calculated probability, indicating how likely it is to act as a true support or resistance based on historical data.
Retest & Break Labels : The indicator clearly marks on your chart when a detected support or resistance level is retested (price touches and respects the level) or broken (price decisively crosses through the level).
Alerts : Real-time alerts for support retests, resistance retests, support breaks, and resistance breaks.
Customizable : You can change support & resistance line style, width and colors.
🚩 UNIQUENESS
What makes this indicator truly unique is its application of logistic regression to the concept of support and resistance. Instead of merely identifying historical highs and lows, our indicator uses a statistical model to predict the future efficacy of these levels. It analyzes underlying market conditions (like RSI and body size at pivot formation) to assign a probability to each potential S/R zone. This predictive insight, combined with dynamic, real-time labeling of retests and breaks, provides a more robust and adaptive understanding of market structure than traditional, purely historical methods.
📌HOW DOES IT WORK ?
The Logistic Regression Support / Resistance indicator operates in several key steps:
First, it identifies significant pivot highs and lows on the chart based on a user-defined "Pivot Length." These pivots are potential areas of support or resistance.
For each detected pivot, the indicator extracts relevant market data at that specific point, including the RSI (Relative Strength Index) and the Body Size (the absolute difference between the open and close price of the candle). These serve as input features for the model.
The core of the indicator lies in its logistic regression model. This model is continuously trained on past pivot data and their subsequent behavior (i.e., whether they were "respected" as support/resistance multiple times). It learns the relationship between the extracted features (RSI, Body Size) and the likelihood of a pivot becoming a significant S/R level.
When a new pivot is identified, the model uses its learned insights to calculate a prediction value—a probability (from 0 to 1) that this specific pivot will act as a strong support or resistance.
If the calculated probability exceeds a user-defined "Probability Threshold," the pivot is designated a "Regression Pivot" and drawn on the chart as a support or resistance line. The indicator then actively tracks how price interacts with these levels, displaying "R" labels for retests when the price bounces off the level and "B" labels for breaks when the price closes beyond it.
⚙️ SETTINGS
1. General Configuration
Pivot Length: This setting defines the number of bars used to determine a significant high or low for pivot detection.
Target Respects: This input specifies how many times a level must be "respected" by price action for it to be considered a strong support or resistance level by the underlying model.
Probability Threshold: This is the minimum probability output from the logistic regression model for a detected pivot to be considered a valid support or resistance level and be plotted on the chart.
2. Style
Show Prediction Labels: Enable or disable labels that display the calculated probability of a newly identified regression S/R level.
Show Retests: Toggle the visibility of "R" labels on the chart, which mark instances where price has retested a support or resistance level.
Show Breaks: Toggle the visibility of "B" labels on the chart, which mark instances where price has broken through a support or resistance level.
Pearson vs Approx. Spearman CorrelationThis indicator displays the rolling Pearson and approximate Spearman correlation between the chart's asset and a second user-defined asset, based on log returns over a customizable window.
Features:
- Pearson correlation of log returns (standard linear dependency measure)
- Approximate Spearman correlation, using percentile ranks to better capture nonlinear and monotonic relationships
/ Horizontal lines showing:
Maximum and minimum correlation values over a statistical window
1st quartile (25%) and 3rd quartile (75%) — helpful for identifying statistically high or low regimes
This script is useful for identifying dynamic co-movements, regime changes, or correlation breakdowns between assets — applicable in risk management, portfolio construction, and pairs trading strategies.
LANZ Strategy 4.0 [Backtest]🔷 LANZ Strategy 4.0 — Strategy Execution Based on Confirmed Structure + Risk-Based SL/TP
LANZ Strategy 4.0 is the official backtesting engine for the LANZ Strategy 4.0 trading logic. It simulates real-time executions based on breakout of Strong/Weak Highs or Lows, using a consistent structural system with SL/TP dynamically calculated per trade. With integrated risk management and lot size logic, this script allows traders to validate LANZ Strategy 4.0 performance with real strategy metrics.
🧠 Core Components:
Confirmed Breakout Entries: Trades are executed only when price breaks the most recent structural level (Strong High or Strong Low), detected using swing pivots.
Dynamic SL and TP Logic: SL is placed below/above the breakout point with a customizable buffer. TP is defined using a fixed Risk-Reward (RR) ratio.
Capital-Based Risk Management: Lot size is calculated based on account equity, SL distance, and pip value (e.g. $10 per pip on XAUUSD).
Clean and Controlled Executions: Only one trade is active at a time. No new entries are allowed until the current position is closed.
📊 Visual Features:
Automatic plotting of Entry, SL, and TP levels.
Full control of swing sensitivity (swingLength) and SL buffer.
SL and TP lines extend visually for clarity of trade risk and reward zones.
⚙️ How It Works:
Detects pivots and classifies trend direction.
Waits for breakout above Strong High (BUY) or below Strong Low (SELL).
Calculates dynamic SL and TP based on buffer and RR.
Computes trade size automatically based on risk per trade %.
Executes entry and manages exits via strategy engine.
📝 Notes:
Ideal for evaluating the LANZ Strategy 4.0 logic over historical data.
Must be paired with the original indicator (LANZ Strategy 4.0) for live trading.
Best used on assets with clear structural behavior (gold, indices, FX).
📌 Credits:
Backtest engine developed by LANZ based on the official rules of LANZ Strategy 4.0. This script ensures visual and logical consistency between live charting and backtesting simulations.
AltcoinEvreni Entry/TP RR ToolMulti-Entry / Take-Profit Risk-Reward Tool
This indicator is designed to help traders visually plan and manage their trade entries, take-profit targets, stop-loss levels, and risk/reward calculations directly on the chart.
Key Features:
--- Up to 3 customizable entry levels with separate position sizing for each.
--- Up to 5 take-profit (TP) levels, each with individual allocation percentages.
--- Automatic calculation of weighted average entry price.
--- Dynamic risk and potential profit calculation based on your inputs.
--- Visual colored zones for entry, stop-loss, and take-profit areas on the chart.
--- Adjustable leverage and margin for position sizing.
--- Informative floating table displaying position type, entries, stop-loss, risk in $, potential
--- profit in $, and overall RR ratio.
--- Fully customizable appearance (colors, box width, table font size, etc.).
How to Use:
1- Set your trade direction (Long or Short).
2- Enter your planned entry prices, allocation percentages, and stop-loss.
3- Configure your take-profit levels and their respective allocation percentages.
4- Adjust margin, leverage, and visual preferences as desired.
5- The tool will display all relevant zones and statistics, helping you make better risk-managed trading decisions.
Notes:
--- All calculations and drawings update dynamically as you change your parameters.
--- Works on any symbol and timeframe.
--- For educational and planning purposes – always use your own judgment and risk management.
MMTools - Backtester❖ Overview
Backtester is a script implemented as a strategy, featuring multiple conditions and tools to offer an alternative way to work with Catcher. It supports both backtesting and algorithmic trading, allowing you to evaluate the indicator's performance on historical data for any instrument using the Strategy Tester.
❖ Settings
⚙️ Custom Conditions and Signals
This section is intended to provide flexibility when working with Catcher. (If you intend to use Catcher alone, this section can be disregarded). You may combine the primary indicator (Catcher) with additional custom indicators to define entry and exit signals. Simply add the custom indicator to your chart, display it and then select its name in the corresponding dropdown menu. By default, the 'Close' option is selected, meaning custom conditions are disabled.
Operator 'OR': An entry order is activated when either your custom signal or the primary signal occurs.
Operator 'AND': An entry order is activated only when both the custom and primary signals occur simultaneously.
If both 'AND' and 'OR' operators are used, enabling the 'Only Primary' option will apply the 'AND' operator only to the primary indicator.
Custom Exit: Allows the strategy to close a position based on a custom signal, in addition to standard exit conditions. The first condition met will trigger the exit.
Note: The strategy executes orders at the open of the next bar after the custom condition is met.
⚙️ Confirmation
When enabled, the strategy will enter a position only if a specified number of signals occur within a defined lookback period.
⚙️ Exits
Two types of exit mechanisms are available for take-profit and stop-loss:
Timeout: Sets a maximum duration (in bars) that a trade can remain open. If this limit is exceeded, the strategy will close the position.
Percentage-Based: Exit positions based on a specified percentage move.
⚙️ Start Date
Specifies the starting point for the backtest.
⚙️ Plotting
The green line represents the take-profit level, while the red line indicates the stop-loss level. Plotting is limited to the last 250 bars.
⚙️ Other Settings
Remember to configure additional parameters under the “Properties” tab, including commissions, slippage, and pyramiding. Default commission is set at 0.05%.
❖ Access
Please refer to the Author's Instructions field to request access to the script.
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Disclaimer
The information provided by my scripts is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making financial decisions.
Candle/Keltner Channels BUY SELLWhy Use Candlesticks?
They help traders visualize price action
Used in technical analysis and price pattern recognition (e.g., Doji, Engulfing, Hammer)
Assist in determining entry and exit points
Why Traders Use Keltner Channels?
Keltner Channels are widely used by traders for identifying trends, detecting volatility, and spotting trade opportunities.
1. Trend Identification
The middle line (EMA) shows the general trend.
If price consistently stays above the middle line, it indicates a strong uptrend.
If price stays below, it signals a downtrend.
Use: Traders follow the trend direction to enter trades in line with momentum.
2. Volatility Measurement
The width of the channel expands and contracts based on Average True Range (ATR).
Wider channels = high volatility, tighter channels = low volatility.
Use: Helps traders decide when to expect breakouts or calm periods.
3. Breakout Signals
A break above the upper band can signal a bullish breakout.
A break below the lower band can signal a bearish breakout.
Use: Traders use this for momentum trading and breakout entries.
4. Overbought/Oversold Conditions
Price touching or crossing the upper band may suggest it's overbought.
Price touching or crossing the lower band may suggest it's oversold.
Use: Traders combine this with RSI or MACD to confirm reversal setups.
5. Trade Entry and Exit
When price pulls back to the middle EMA during a trend, it may present a buy/sell opportunity.
Exits can also be planned if price returns inside the bands after a breakout.
Use: Helps with precise entry and exit timing.
6. Combines Well With Other Indicators
Commonly used with:
RSI (for confirmation)
MACD (for momentum)
Candlestick patterns (for price action signals)
Combining Candlestick Patterns with Keltner Channels gives traders a powerful method to confirm entries, spot reversals, and improve accuracy. Here’s why this combination works so well:
1. Context for Candlestick Signals
Candlestick patterns (like doji, engulfing, or pin bars) show potential price reversals, but they need context to be reliable. Keltner Channels provide that context:
A bullish candlestick near the lower band suggests a stronger buy signal.
A bearish candlestick near the upper band strengthens a sell signal.
2. Filtering False Signals
Candlestick patterns occur frequently, and not all are meaningful.
The location within the Keltner Channel helps filter out weak or false patterns.
Example: A bullish engulfing candle outside the lower band = high-probability reversal.
3. Improved Entry Timing
Traders wait for a candlestick pattern confirmation when price touches or crosses a Keltner band.
This avoids premature entries and allows tighter stop-losses.
4. Better Risk-Reward Setup
Candlestick entry near channel extremes (upper/lower band) lets traders place stop-losses just beyond recent highs/lows.
The target can be the opposite side of the channel or the middle EMA.
5. Visual Simplicity
Keltner Channels + Candles are visually intuitive.
Even beginner traders can easily recognize:
Overextended candles near channel edges.
Confirmed breakouts or reversals.
This Timeframe 5 min : XAUUSD
Correlation Coefficient📊 Correlation Coefficient (CC)
This indicator measures the statistical correlation between two selected securities over a defined period, scaled from -100 to +100.
It helps you quickly assess whether assets are moving:
Together (positive correlation)
Opposite (negative correlation)
Independently (zero correlation)
🔧 Features:
Select any two symbols (default: NIFTY & BANKNIFTY)
Adjustable length parameter for short-term or long-term correlation analysis
Clean, color-coded plot with horizontal levels to easily identify key correlation zones
📈 Useful For:
Pair trading setups
Hedging strategies
Detecting market regime shifts or intermarket divergences
⚠️ Disclaimer: This is not trading or investment advice.
This indicator is intended for informational purposes only and is not recommended for making
direct trading decisions.
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD)
Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis
The Revolutionary Concept: When Physics Meets Trading
After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits.
The Core Innovation: Ergodic Theory Applied to Markets
What Makes Markets Ergodic or Non-Ergodic?
In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading:
Ergodic Markets (Mean-Reverting)
- Time averages equal ensemble averages
- Historical patterns repeat reliably
- Price oscillates around equilibrium
- Traditional indicators work well
Non-Ergodic Markets (Trending)
- Path dependency dominates
- History doesn't predict future
- Price creates new equilibrium levels
- Momentum strategies excel
The Mathematical Framework
The Ergodic Score combines three critical divergences:
Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3
Where:
Price Divergence: How far current price deviates from market consensus
Return Divergence: Momentum differential between instrument and market
Volatility Divergence: Volatility regime misalignment
Market Stress: Adaptive multiplier based on current conditions
The Ensemble Analysis Revolution
Beyond Single-Instrument Analysis
Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach:
Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves
Filters False Signals: Requires broader market confirmation
Identifies Regime Shifts: Detects when entire market structure changes
Provides Context: Shows if moves are isolated or systemic
Dynamic Threshold Adaptation
Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions:
Base Threshold = SMA(Ergodic Score, Lookback × 3)
Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity
Final Threshold = Smoothed(Base + Adaptive)
This creates context-aware signals that remain effective across different market environments.
The Confidence Engine: Know Your Signal Quality
Multi-Factor Confidence Scoring
Every signal receives a confidence score based on:
Signal Clarity (0-35%): How decisively the ergodic threshold is crossed
Momentum Strength (0-25%): Rate of ergodic change
Volatility Alignment (0-20%): Whether volatility supports the signal
Market Quality (0-20%): Price convergence and path dependency factors
Real-Time Confidence Updates
The Live Confidence metric continuously updates, showing:
- Current opportunity quality
- Market state clarity
- Historical performance influence
- Signal recency boost
- Visual Intelligence System
Adaptive Ergodic Field Bands
Dynamic bands that expand and contract based on market state:
Primary Color: Ergodic state (mean-reverting)
Danger Color: Non-ergodic state (trending)
Band Width: Expected price movement range
Squeeze Indicators: Volatility compression warnings
Quantum Wave Ribbons
Triple EMA system (8, 21, 55) revealing market flow:
Compressed Ribbons: Consolidation imminent
Expanding Ribbons: Directional move developing
Color Coding: Matches current ergodic state
Phase Transition Signals
Clear entry/exit markers at regime changes:
Bull Signals: Ergodic restoration (mean reversion opportunity)
Bear Signals: Ergodic break (trend following opportunity)
Confidence Labels: Percentage showing signal quality
Visual Intensity: Stronger signals = deeper colors
Professional Dashboard Suite
Main Analytics Panel (Top Right)
Market State Monitor
- Current regime (Ergodic/Non-Ergodic)
- Ergodic score with threshold
- Path dependency strength
- Quantum coherence percentage
Divergence Metrics
- Price divergence with severity
- Volatility regime classification
- Strategy mode recommendation
- Signal strength indicator
Live Intelligence
- Real-time confidence score
- Color-coded risk levels
- Dynamic strategy suggestions
Performance Tracking (Left Panel)
Signal Analytics
- Total historical signals
- Win rate with W/L breakdown
- Current streak tracking
- Closed trade counter
Regime Analysis
- Current market behavior
- Bars since last signal
- Recommended actions
- Average confidence trends
Strategy Command Center (Bottom Right)
Adaptive Recommendations
- Active strategy mode
- Primary approach (mean reversion/momentum)
- Suggested indicators ("weapons")
- Entry/exit methodology
- Risk management guidance
- Comprehensive Input Guide
Core Algorithm Parameters
Analysis Period (10-100 bars)
Scalping (10-15): Ultra-responsive, more signals, higher noise
Day Trading (20-30): Balanced sensitivity and stability
Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes
Divergence Threshold (0.5-5.0)
Hair Trigger (0.5-1.0): Catches every wiggle, many false signals
Balanced (1.5-2.5): Good signal-to-noise ratio
Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance
Path Memory (20-200 bars)
Short Memory (20-50): Recent behavior focus, quick adaptation
Medium Memory (50-100): Balanced historical context
Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag
Signal Spacing (5-50 bars)
Aggressive (5-10): Allows rapid-fire signals
Normal (15-25): Prevents clustering, maintains flow
Conservative (30-50): Major setups only Default: 15 - optimal trade frequency
Ensemble Configuration
Select markets for consensus analysis:
SPY: Broad market sentiment
QQQ: Technology leadership
IWM: Small-cap risk appetite
DIA: Blue-chip stability
More instruments = stronger consensus but potentially diluted signals
Visual Customization
Color Themes (6 professional options):
Quantum: Cyan/Pink - Modern trading aesthetic
Matrix: Green/Red - Classic terminal look
Heat: Blue/Red - Temperature metaphor
Neon: Cyan/Magenta - High contrast
Ocean: Turquoise/Coral - Calming palette
Sunset: Red-orange/Teal - Warm gradients
Display Controls:
- Toggle each visual component
- Adjust transparency levels
- Scale dashboard text
- Show/hide confidence scores
- Trading Strategies by Market State
- Ergodic State Strategy (Primary Color Bands)
Market Characteristics
- Price oscillates predictably
- Support/resistance hold
- Volume patterns repeat
- Mean reversion dominates
Optimal Approach
Entry: Fade moves at band extremes
Target: Middle band (equilibrium)
Stop: Just beyond outer bands
Size: Full confidence-based position
Recommended Tools
- RSI for oversold/overbought
- Bollinger Bands for extremes
- Volume profile for levels
- Non-Ergodic State Strategy (Danger Color Bands)
Market Characteristics
- Price trends persistently
- Levels break decisively
- Volume confirms direction
- Momentum accelerates
Optimal Approach
Entry: Breakout from bands
Target: Trail with expanding bands
Stop: Inside opposite band
Size: Scale in with trend
Recommended Tools
- Moving average alignment
- ADX for trend strength
- MACD for momentum
- Advanced Features Explained
Quantum Coherence Metric
Measures phase alignment between individual and ensemble behavior:
80-100%: Perfect sync - strong mean reversion setup
50-80%: Moderate alignment - mixed signals
0-50%: Decoherence - trending behavior likely
Path Dependency Analysis
Quantifies how much history influences current price:
Low (<30%): Technical patterns reliable
Medium (30-50%): Mixed influences
High (>50%): Fundamental shift occurring
Volatility Regime Classification
Contextualizes current volatility:
Normal: Standard strategies apply
Elevated: Widen stops, reduce size
Extreme: Defensive mode required
Signal Strength Indicator
Real-time opportunity quality:
- Distance from threshold
- Momentum acceleration
- Cross-validation factors
Risk Management Framework
Position Sizing by Confidence
90%+ confidence = 100% position size
70-90% confidence = 75% position size
50-70% confidence = 50% position size
<50% confidence = 25% or skip
Dynamic Stop Placement
Ergodic State: ATR × 1.0 from entry
Non-Ergodic State: ATR × 2.0 from entry
Volatility Adjustment: Multiply by current regime
Multi-Timeframe Alignment
- Check higher timeframe regime
- Confirm ensemble consensus
- Verify volume participation
- Align with major levels
What Makes EMD Unique
Original Contributions
First Ergodic Theory Trading Application: Transforms abstract physics into practical signals
Ensemble Market Analysis: Revolutionary multi-market divergence system
Adaptive Confidence Engine: Institutional-grade signal quality metrics
Quantum Coherence: Novel market alignment measurement
Smart Signal Management: Prevents clustering while maintaining responsiveness
Technical Innovations
Dynamic Threshold Adaptation: Self-adjusting sensitivity
Path Memory Integration: Historical dependency weighting
Stress-Adjusted Scoring: Market condition normalization
Real-Time Performance Tracking: Built-in strategy analytics
Optimization Guidelines
By Timeframe
Scalping (1-5 min)
Period: 10-15
Threshold: 0.5-1.0
Memory: 20-30
Spacing: 5-10
Day Trading (5-60 min)
Period: 20-30
Threshold: 1.5-2.5
Memory: 40-60
Spacing: 15-20
Swing Trading (1H-1D)
Period: 40-60
Threshold: 2.0-3.0
Memory: 80-120
Spacing: 25-35
Position Trading (1D-1W)
Period: 60-100
Threshold: 3.0-5.0
Memory: 100-200
Spacing: 40-50
By Market Condition
Trending Markets
- Increase threshold
- Extend memory
- Focus on breaks
Ranging Markets
- Decrease threshold
- Shorten memory
- Focus on restores
Volatile Markets
- Increase spacing
- Raise confidence requirement
- Reduce position size
- Integration with Other Analysis
- Complementary Indicators
For Ergodic States
- RSI divergences
- Bollinger Band squeezes
- Volume profile nodes
- Support/resistance levels
For Non-Ergodic States
- Moving average ribbons
- Trend strength indicators
- Momentum oscillators
- Breakout patterns
- Fundamental Alignment
- Check economic calendar
- Monitor sector rotation
- Consider market themes
- Evaluate risk sentiment
Troubleshooting Guide
Too Many Signals:
- Increase threshold
- Extend signal spacing
- Raise confidence minimum
Missing Opportunities
- Decrease threshold
- Reduce signal spacing
- Check ensemble settings
Poor Win Rate
- Verify timeframe alignment
- Confirm volume participation
- Review risk management
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques.
Transform market chaos into trading clarity with Ergodic Market Divergence.
Created with passion for the TradingView community
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
Palgo Trading - Palgo🎯THE PALGO INDICATOR
The "Palgo Trading - Palgo" indicator, developed by PALGOTRADING is a sophisticated technical analysis tool designed to identify potential buy and sell signals by combining trend analysis with momentum and optional AI-driven sentiment assessment. This indicator provides a clear visual representation of potential trading opportunities directly on the price chart.
At its core, the Palgo indicator synthesizes information from well-established technical analysis concepts with statistical functions, and has optional AI Integration for social analysis of the asset using external data :
Supertrend: This indicator identifies the prevailing trend direction. A positive Supertrend value suggests an upward trend, while a negative value indicates a downward trend. The Palgo indicator utilizes a Supertrend with a customizable multiplier and a user-configurable Average True Range (ATR) length (defaulting to 21).
🛜Signal Generation Logic
The indicator generates buy and sell signals based on a calculated "final direction" value. This value is derived by combining the Supertrend direction and a modified RSI. The modification involves scaling the RSI output to a range of -0.5 to 0.5 and then further adjusting it.
The buy and sell conditions are as follows:
Buy Signal: A buy signal is triggered when the "final direction" crosses above a positive activation threshold while the current signal is not already bullish. Upon signal generation, a "Buy" label (colored green) appears below the bar, and initial Take Profit (TP) and Stop Loss (SL) levels are calculated and stored.
Sell Signal: Conversely, a sell signal is triggered when the "final direction" crosses below a negative activation threshold while the current signal is not already bearish. A "Sell" label (colored red) is plotted above the bar, and corresponding TP and SL levels are determined.
✅ Optimized Take-Profit / Stop-Loss
The Take-Profit (TP) & Stop-Loss (SL) signals are optimized with Kernel Density Estimation (KDE), the script uses KDE activated by gaussian function on previous pivot points and trains the model, then tries to estimate new pivot points early, to determine new TP / SL levels for the current signal. Kernel Density Estimation takes values of the previous confirmed pivots' RSI values, body size & more factors to determine their role. This indicator can generate up to 5 TP signals per signal.
📈 Signal Trail
Palgo also includes a "Signal Trail" that visually shows the market's momentum. This trail is like a dynamic line that follows the price.
When the market is in an uptrend and looking strong, you'll see a green trail.
When it's in a downtrend and looking weak, you'll see a red trail.
This trail helps you see if the market is currently aligned with Palgo's bullish (buy) or bearish (sell) signal. It also acts as a visual guide for potential support or resistance levels.
📊Backtesting Dashboard
The Palgo indicator includes an optional Backtesting Dashboard to help you understand its historical performance. This dashboard appears directly on your chart and provides a quick summary of how the indicator's signals have performed in the past.
Here's what you'll see on the dashboard:
Sensitivity: This shows the specific "Sensitivity" setting you've chosen for the indicator. This setting influences how often signals are generated.
Wins: This number tells you how many trades initiated by the Palgo indicator historically ended in profit (reached a Take-Profit target or closed profitably when the signal reversed).
Loss: This number indicates how many trades historically ended in a loss (hit the Stop-Loss).
Winrate: This is a very important metric, displayed as a percentage. It shows you the proportion of winning trades compared to the total number of trades (Wins / (Wins + Loss)). A higher winrate generally suggests a more effective strategy.
This dashboard is a valuable tool for reviewing the indicator's effectiveness with different settings and helping you make informed decisions about its use in your trading.
🤖AI Integration (Optional):
A unique feature of the Palgo indicator is the optional integration of Artificial Intelligence (AI) sentiment analysis. When the "Use AI" input is enabled, the indicator incorporates two additional user-defined inputs:
Impression Change %: This input represents the percentage change in overall market sentiment as assessed by an external AI.
Positivity Change: This input reflects the change in positive sentiment, also provided by an AI.
These AI inputs are combined to create an "AI Score," which then influences the "final direction" calculation. A positive AI Score amplifies the bullish signals and dampens bearish signals, while a negative AI Score has the opposite effect.
❓Why PALGO ?
All-in-One Analysis: Palgo combines trend, momentum, and advanced statistical analysis into one easy-to-use tool, giving you a complete picture without needing multiple indicators.
Dynamic Profit & Loss Management: Unlike many tools with fixed targets, Palgo's smart profit and stop-loss system adapts to the market using KDE. This helps you potentially capture more gains and limit losses effectively.
Optional AI Insights: For an extra edge, Palgo can tap into Artificial Intelligence (AI) to gauge overall market mood. If the AI sees a lot of positive buzz, it can strengthen buy signals; if it's negative, it can reinforce sell signals. This helps you trade with a better understanding of the market's pulse.
Clear and Customizable: Palgo is designed to be very visual. It changes the color of the price bars, adds clear "Buy" or "Sell" labels, and marks your profit and stop-loss points. You can also change the colors to suit your preference.
Palgo aims to be a comprehensive and adaptable trading tool, giving you clearer insights.
⚙️Visualizations and Customization
The Palgo indicator offers several visual cues to aid traders:
Bar Coloring: The price bars are colored green when the indicator identifies a bullish signal and red during a bearish signal.
Signal Labels: Clear "Buy" and "Sell" labels are plotted at the signal generation points.
Take Profit and Stop Loss Markers: Distinct shapes and labels indicate when the price reaches the calculated TP and SL levels.
Style Options: Users can customize the colors for bullish and bearish bars, text, and TP/SL markers within the indicator's settings.
Volume Profile (PRO) [ActiveQuants]The Volume Profile (PRO) indicator is an advanced analytical tool designed to provide traders with a deep understanding of market dynamics by displaying trading activity across different price levels over a specified period. By meticulously plotting volume distribution , this indicator helps identify significant price zones, such as areas of high acceptance ( High Volume Nodes - HVNs ), rejection ( Low Volume Nodes - LVNs ), Volume Peaks Clusters , Volume Troughs Clusters , the Point of Control (POC) , and the Value Area (VA) . This insight is crucial for spotting potential support/resistance levels, assessing market sentiment, and making more informed trading decisions.
This indicator operates on the principle that price levels with higher traded volume hold greater significance, often acting as pivotal points for future price movements. Conversely, areas with low volume typically indicate less agreement on price, leading to quicker price transitions. The Volume Profile (PRO) offers extensive customization to tailor the analysis to your specific needs and trading style.
█ KEY FEATURES
Comprehensive Volume Analysis: Visualize volume distribution horizontally, revealing key price levels based on actual traded volume.
Dynamic Profile Calculation: Uses a rolling lookback period to keep the profile relevant to recent price action.
Point of Control (POC): Automatically identifies and plots the price level with the highest traded volume within the profile period. Available as a "Regular" (fixed for the current profile) or "Developing" line that tracks its evolution bar-by-bar.
Value Area (VA): Highlights the price range where a specified percentage (typically 70%) of the total volume was traded. Also available as "Regular" or "Developing" VAH (Value Area High) and VAL (Value Area Low) lines.
High and Low Volume Nodes (HVNs & LVNs): Option to automatically detect and highlight a specified number of the highest volume concentration zones (HVNs) and lowest volume zones (LVNs) within the profile. These are crucial for identifying support/resistance and areas of potential quick price movement.
Volume Peaks and Troughs Detection: Identify statistically significant high-volume (Peaks) and low-volume (Troughs) rows relative to their neighbors, either as single rows or clusters. These can pinpoint precise levels of interest.
Multiple Volume Display Types: Choose to display volume as:
- Up/Down: Shows buying and selling volume side-by-side for each row.
- Total: Shows the aggregate volume for each row.
- Delta: Shows the difference between buying and selling volume for each row, highlighting imbalances.
Extensive Customization: Fine-tune lookback period, number of rows, profile width, horizontal placement, Value Area percentage, colors for all elements, and specific parameters for node/peak/trough detection.
Visual Enhancements:
- Optional gradient colors for volume bars.
- Display volume figures directly on rows.
- Background shading for the Value Area and the entire Profile range.
- Price labels for POC, VAH, VAL, Profile High, and Profile Low.
Integrated Alert System: Pre-built alert conditions for critical volume profile events. (See section on "█ SETTING UP ALERTS " for more details).
█ USER INPUTS
The settings panel is organized into distinct sections:
- Calculation Settings:
Lookback: Number of most recent bars for profile calculation.
Number of Rows: Resolution of the volume profile.
Profile Width: Relative horizontal length of the volume bars.
Horizontal Offset: Horizontal positioning of the profile.
Value Area (%): Percentage of volume to include in the Value Area.
Volume: Display type ("Up/Down", "Total", "Delta").
Profile Placement: "Right" or "Left" side of the chart.
- Appearance:
Volume Profile On/Off: Toggle visibility of the entire profile.
Rows Border Width & Color: Customize the outline of volume rows.
Gradient Colors: Enable/disable gradient coloring for volume bars.
Row Volume: Display numerical volume on each row.
VAH (Value Area High): Display type ("None", "Regular", "Developing"), Color, Price Label, Line Width.
VAL (Value Area Low): Display type ("None", "Regular", "Developing"), Color, Price Label, Line Width.
Profile High Price Label & Color: Toggle and customize.
Profile Low Price Label & Color: Toggle and customize.
Value Area Up/Down Color: Colors for up/down volume within VA.
Profile Up/Down Color: Colors for up/down volume outside VA.
Total Volume Color: For "Total" volume display type.
Delta Volume Positive/Negative Color: For "Delta" volume display type.
POC (Point of Control): Display type ("None", "Regular", "Developing"), Color, Line Width, Price Label.
Value Area Background & Color: Enable and customize VA background shading.
Profile Background & Color: Enable and customize profile range background shading.
Volume Nodes:
Highest Volume Nodes & Color: Number of HVNs to highlight and their color.
Lowest Volume Nodes & Color: Number of LVNs to highlight and their color.
Volume Peaks: Detection type ("None", "Single Row", "Cluster"), Color.
Compared Neighbors (Peaks): Number of neighboring rows to compare against for peak detection.
Minimum Peak Ratio (Peaks): Volume ratio required for a row to be considered a peak.
Volume Troughs: Detection type ("None", "Single Row", "Cluster"), Color.
Compared Neighbors (Troughs): Number of neighboring rows to compare against for trough detection.
Minimum Trough Ratio (Troughs): Volume ratio required for a row to be considered a trough.
█ SETTING UP ALERTS
The Volume Profile (PRO) indicator comes with a comprehensive set of pre-configured alert conditions to notify you of key market events related to volume structure. To set up an alert:
Click the " Alert " button (clock icon) on TradingView's right-hand toolbar or top panel.
In the " Condition " dropdown, select " Volume Profile (PRO) ".
A second dropdown will appear, allowing you to choose from the following specific alert conditions built into the script:
- POC Price Change: Triggers when the Point of Control price level changes.
- POC Crossover: Triggers when the closing price crosses over the POC line and is now above it.
- POC Crossunder: Triggers when the closing price crosses under the POC line and is now below it.
- Close Inside Value Area: Triggers when the closing price enters the Value Area.
- Close Outside Value Area: Triggers when the closing price exits the Value Area.
- Close Inside High Volume Node: Triggers when the closing price enters a detected High Volume Node.
- Close Inside Low Volume Node: Triggers when the closing price enters a detected Low Volume Node.
- Close Inside Volume Peak: Triggers when the closing price enters a detected Volume Peak row.
- Close Inside Volume Peak Cluster: Triggers when the closing price enters the area of a Volume Peak cluster.
- Close Inside Volume Trough: Triggers when the closing price enters a detected Volume Trough row.
- Close Inside Volume Trough Cluster: Triggers when the closing price enters the area of a Volume Trough cluster.
Choose your preferred " Trigger " option:
- " Only Once ": The alert triggers the first time the condition is met.
- " Once Per Bar Close ": ( Recommended for most profile signals ) The alert triggers only after the current bar closes if the condition was true on that closed bar. This ensures signals are based on confirmed price action.
Customize the alert name, message, and notification preferences.
Click " Create ".
█ STRATEGY EXAMPLES
The following examples are for illustrative purposes only to demonstrate how the Volume Profile (PRO) can be used. They are not financial advice. Always conduct thorough backtesting and research.
1. POC as Dynamic Support/Resistance
Goal: Identify potential bounces or rejections from the Point of Control.
Setup: Enable "POC Line" (Regular or Developing) and observe price interaction.
Entry (Long):
- Price approaches the POC from above and shows signs of holding (e.g., bullish candlestick patterns, deceleration).
- Enter on confirmation of support at the POC.
Entry (Short):
- Price approaches the POC from below and shows signs of rejection (e.g., bearish candlestick patterns).
- Enter on confirmation of resistance at the POC.
Management: Stop-loss beyond the recent swing pivot or the POC itself after a confirmed break. Target the next significant volume node (HVN/LVN) or Value Area boundary.
2. Trading Low Volume Nodes (LVNs) as "Vacuum Zones"
Goal: Capitalize on rapid price movement through LVNs and their potential to become support/resistance once traversed.
Setup: Enable "Lowest Volume Nodes" to identify LVNs.
Entry (Long):
- Price breaks decisively above an LVN.
- Look for a retest of the top of the LVN as support. Enter long on confirmation.
Entry (Short):
- Price breaks decisively below an LVN.
- Look for a retest of the bottom of the LVN as resistance. Enter short on confirmation.
Concept: Price is expected to move quickly through LVNs (volume vacuum). Once price has passed through an LVN, that area of prior low acceptance can act as a new support/resistance zone.
Management: Stop-loss beyond the retested LVN. Target the next HVN or significant price level.
█ CONCLUSION
The Volume Profile (PRO) indicator offers a sophisticated and highly customizable approach to volume analysis. By providing clear visualizations of POC, Value Area, HVNs, LVNs, and Volume Peaks/Troughs, along with integrated alerts and developing levels, this tool empowers traders to identify critical price zones, understand market structure, and develop more nuanced trading strategies. Whether you're looking for precise entry points, areas of support and resistance, or confirmation of market sentiment, this Volume Profile indicator is an invaluable addition to your technical analysis toolkit.
█ IMPORTANT NOTES
⚠ Lookback vs. Calculated Bars Relationship: The value set in the " Lookback " input ( Calculation Settings ) must be less than half of the number of bars the indicator is set to calculate on your chart (referred to as " Calculated bars " in the script, typically controlled by TradingView's historical data loading or a calc_bars_count setting within the script's indicator() declaration – in this script, it is 1200 bars by default). For example, if "Calculated bars" is 1200, your Lookback should be less than 600. The default Lookback of 500 respects this. Setting a Lookback too high relative to available calculated bars can lead to errors or incorrect profile rendering.
⚠ Parameter Optimization: The default settings are starting points. Always adjust indicator parameters (Lookback, Number of Rows, VA%, etc.) based on the specific asset, its volatility, and the timeframe you are trading. Thorough backtesting is crucial.
⚠ Context is Key: Volume Profile is powerful, but its signals are best interpreted within the broader market context (trend, news, other technical indicators).
⚠ Lookback vs. Profile Stability: A shorter lookback makes the profile very responsive to recent action but less stable. A longer lookback provides more stable levels but may lag in fast-moving markets.
⚠ Number of Rows: Higher row counts offer more granularity but can impact performance and may show too much noise. Lower row counts offer a broader view but may obscure finer details.
⚠ Alert Confirmation: Using " Once Per Bar Close " for alerts is generally recommended to ensure signals are based on confirmed price action.
█ RISK DISCLAIMER
Trading involves a substantial risk of loss and is not suitable for all investors. The Volume Profile (PRO) indicator is provided for educational and informational purposes only . It does NOT constitute financial advice or a recommendation to buy or sell any asset. Indicator signals identify potential patterns based on historical data but do not guarantee future price movements or profitability. Always conduct your own thorough research, utilize multiple sources of information, and implement robust risk management practices before making any trading decisions. Past performance is not indicative of future results.
📊 Happy trading! 🚀
Profit Guard ProProfitGuard Pro
ProfitGuard Pro is a risk management and profit calculation tool that helps traders optimize their trades by handling position sizing, risk management, leverage, and take profit calculations. With support for both cumulative and non-cumulative take profit strategies, this versatile indicator provides the insights you need to maximize your trading strategy.
How to Use ProfitGuard Pro:
Load the Indicator: Add ProfitGuard Pro to your chart in TradingView.
Set Your Entry Position: Input your desired entry price.
Define Your Stop Loss: Enter the price at which your trade will exit to minimize losses.
Add Take Profit Levels: Input your TP1, TP2, TP3, and TP4 levels, as needed.
If you want fewer take profit levels, adjust the number of TPs in the settings menu. You can choose between 1 to 4 take profit levels based on your strategy.
Adjust Risk Settings: Specify your account size and risk percentage to calculate position size and leverage.
Choose Cumulative or Non-Cumulative Mode: Toggle cumulative profit mode to either recalculate position sizes as each take profit is hit or keep position sizes static for each TP.
Once set up, ProfitGuard Pro will automatically calculate your position size, leverage, and potential profits for each take profit level, providing a clear visual on your chart to guide your trading decisions.
Key Features:
Risk Management:
Calculate your risk percentage based on account size and stop loss.
Visualize risk in dollar terms and percentage of your account.
Position Size & Leverage:
Automatically calculate the ideal position size and leverage for your trade based on your entry, stop loss, and risk settings.
Ensure you are trading with the appropriate leverage for your account size.
Cumulative vs Non-Cumulative Profit Mode:
Cumulative Mode: Adjusts position size after each take profit is reached, recalculating for remaining contracts.
Non-Cumulative Mode: Treats each take profit as a separate calculation using the full position size.
Take Profit Levels:
Set up to 4 customizable take profit levels.
Adjust percentage values for each TP target, and visualize them on your chart with easy-to-read lines.
Profit Calculation:
Displays potential profits for each take profit level based on whether cumulative or non-cumulative mode is selected.
Calculate your risk-reward ratio dynamically at each TP.
Customizable Visuals:
Easily customize the table's size, position, and color scheme to fit your chart.
Visualize key trade details like leverage, contracts, margin, and profits directly on your chart.
Short and Long Position Support:
Automatically adjusts calculations based on whether you're trading long or short.
