Risk Appetite IndexWhat This Indicator Does
The Risk Appetite Index measures market participants' willingness to take risk by analyzing multiple market factors. This indicator attempts to provide insights into overall market sentiment by combining information from different market segments into a single composite measure.
How It Works
The indicator uses a multi-factor approach that examines various aspects of market behavior including equity market conditions, interest rate environments, credit markets, volatility patterns, and other relevant market data. These factors are processed and combined to create a composite reading on a 0-100 scale.
Theoretical Foundation
The methodology is grounded in established financial theories including Modern Portfolio Theory principles for risk assessment, behavioral finance concepts regarding market sentiment cycles, and factor investing approaches for multi-dimensional market analysis. The indicator incorporates insights from academic research on market microstructure, volatility clustering phenomena, and cross-asset correlation patterns during different market regimes.
The approach draws from research on fear and greed cycles in financial markets, term structure modeling, and credit risk assessment methodologies. Statistical techniques employed include robust normalization methods and composite index construction principles established in econometric literature.
The methodology employs statistical techniques to normalize the different market inputs and reduce the impact of extreme values. The final output aims to reflect the general level of risk appetite present in financial markets.
Signal Interpretation
Values above 60 may suggest higher risk appetite conditions in markets. Values below 30 may indicate lower risk appetite environments. The 30-60 range represents neutral or mixed conditions where market sentiment may be unclear.
The indicator includes threshold levels that may help identify potential changes in market conditions. However, like all technical indicators, these levels should be considered as potential reference points rather than definitive signals.
Research Context
The approach builds upon established sentiment measurement methodologies documented in financial literature, including studies on VIX-based fear indicators, credit spread analysis, yield curve interpretation, and cross-asset momentum research. The multi-factor design reflects principles from academic research on composite economic indicators and systematic risk assessment frameworks used by central banks and institutional investors.
The threshold-based signal generation follows established precedents in quantitative finance research regarding regime detection and market state classification methodologies documented in institutional portfolio management literature.
Key Features
Analytics Dashboard: Displays real-time information about current readings, market regime assessment, and signal quality indicators.
Visual Tools: Multiple color schemes and background options to help visualize current market conditions and trends.
Alert System: Optional alerts for threshold crossings and regime changes to help monitor market conditions.
Quality Assessment: Built-in filters attempt to distinguish between higher and lower confidence readings based on data quality and market conditions.
How to Use
This indicator is designed to be used on daily timeframes and displays in a separate panel below the main chart. It works best when used as part of a comprehensive market analysis approach rather than as a standalone trading tool.
The dashboard provides additional context about current readings and may help users understand the quality and reliability of current signals. Users should consider multiple factors and conduct their own analysis when making trading decisions.
Important Considerations
This indicator is designed for educational and analytical purposes. It does not guarantee profitable trading results and should not be used as the sole basis for trading decisions.
Market conditions can change rapidly and unpredictably. Past behavior of any indicator does not predict future market movements. All trading involves substantial risk and may not be suitable for all investors.
The indicator's effectiveness may vary across different market environments and conditions. Users should consider their own risk tolerance and investment objectives when using any analytical tool.
Data Limitations
The indicator relies on multiple external data sources and may be affected by data quality, market holidays, or limited trading hours. Performance may vary during unusual market conditions or structural changes in financial markets.
Like all quantitative models, this indicator has inherent limitations and may not capture all relevant market factors or unprecedented market events.
Intended Use
This indicator may be useful for traders and analysts seeking additional tools for market sentiment analysis. It is designed for those who want to incorporate multiple market factors into their decision-making process.
Academic Research Foundation
The development approach incorporates established research methodologies from quantitative finance literature. Key theoretical frameworks include:
Factor Models: Based on research into multi-factor asset pricing models and their application to portfolio construction and risk management practices developed in academic finance literature.
Behavioral Finance: Incorporates findings from behavioral economics research on market anomalies, investor psychology, and sentiment-driven market movements as documented in financial psychology studies.
Market Microstructure: Utilizes principles from market microstructure research regarding information flow, price discovery mechanisms, and cross-market relationships established in institutional finance literature.
Risk Management: Built upon established risk measurement frameworks including Value at Risk methodologies, stress testing approaches, and systematic risk assessment techniques documented in risk management research.
Econometric Methods: Employs statistical techniques based on time series analysis, robust estimation methods, and composite index construction principles established in econometric literature and central bank research methodologies.
The proprietary methodology combines various market inputs in an attempt to provide insights into overall risk appetite trends, though results may vary and should always be considered alongside other forms of analysis.
Risk Warnings
Past performance does not guarantee future results. All trading involves substantial risk of loss. This indicator does not eliminate market risk and should be used as part of a comprehensive trading plan. Market conditions can change rapidly and unexpectedly. No indicator is accurate in all market conditions.
Technical Requirements
Optimal use on daily charts with TradingView Pro or higher for real-time data access. Designed primarily for US equity market analysis during regular trading hours.
Note: This is a closed-source indicator with proprietary calculation methods designed to maintain effectiveness and provide users with a unique analytical tool.
Analisi fondamentale
TSI Indicator with Trailing StopAuthor: ProfitGang
Type: Indicator (visual + alerts). No orders are executed.
What it does
This tool combines the True Strength Index (TSI) with a simple tick-based trailing stop visualizer.
It plots buy/sell markers from a TSI cross with momentum confirmation and, if enabled, draws a trailing stop line that “ratchets” in your favor. It also shows a compact info table (position state, entry price, trailing status, and unrealized ticks).
Signal logic (summary)
TSI is computed with double EMA smoothing (user lengths).
Signals:
Buy when TSI crosses above its signal line and momentum (TSI–Signal histogram) improves, with TSI above your Buy Threshold.
Sell when TSI crosses below its signal line and momentum weakens, with TSI below your Sell Threshold.
Confirmation: Optional “Confirm on bar close” setting evaluates signals on closed bars to reduce repaint risk.
Trailing stop (visual only)
Units are ticks (uses the symbol’s min tick).
Start Trailing After (ticks): activates the trail only once price has moved in your favor by the set amount.
Trailing Stop (ticks): distance from price once active.
For longs: stop = close - trail; it never moves down.
For shorts: stop = close + trail; it never moves up.
Exits shown on chart when the trailing line is touched or an opposite signal occurs.
Note: This is a simulation for visualization and does not place, manage, or guarantee broker orders.
Inputs you can tune
TSI Settings: Long Length, Short Length, Signal Length, Buy/Sell thresholds, Confirm on Close.
Trailing Stop: Start Trailing After (ticks), Trailing Stop (ticks), Show/Hide trailing lines.
Display: Toggle chart signals, info table, and (optionally) TSI plots on the price chart.
Alerts included
TSI Buy / TSI Sell
Long/Short Trailing Activated
Long/Short Trail Exit
Tips for use
Timeframes/markets: Works on any symbol/timeframe that reports a valid min tick. If your market has large ticks, adjust the tick inputs accordingly.
TSI view: By default, TSI lines are hidden to avoid rescaling the price chart. Enable “Show TSI plots on price chart” if you want to see the oscillator inline.
Non-repainting note: With Confirm on bar close enabled, signals are evaluated on closed bars. Intrabar previews can change until the bar closes—this is expected behavior in TradingView.
Limitations
This is an indicator for education/research. It does not execute trades, and visuals may differ from actual broker fills.
Performance varies by market conditions; thresholds and trail settings should be tested by the user.
Disclaimer
Nothing here is financial advice. Markets involve risk, including possible loss of capital. Always do your own research and test on a demo before using any tool in live trading.
— ProfitGang
Financial Change % Table - ToluFinancial Change % Table which includes revenue , operating profit and earning per share . compares the financial data with previous quarter QoQ and previous year YoY . and shows the change in %.
Institutional level Indicator V5Smart money concept indicator with added VWAP for better understanding for fair price with relation to movement of price.
PFA_Earnings Surprise %📌 Indicator Name: Earnings Surprise %
📖 Description:
The Earnings Surprise % indicator calculates and plots the difference between reported EPS (Earnings Per Share) and analyst consensus estimates, expressed as a percentage of the estimate. It helps traders and investors quickly gauge how much a company’s earnings have deviated from expectations on each earnings release date.
Earnings Surprise % — See how earnings stack up against expectations!
This simple yet powerful tool shows the percentage difference between reported EPS and analyst estimates directly on your chart. Positive surprises are plotted in green, negative surprises in red, so you can instantly spot earnings beats and misses. Great for combining with gap analysis, volume spikes, or technical setups around earnings dates. Works best on daily charts of stocks and ETFs with regular earnings reports.
Fair Value Gap with Swing PointsFair Value Gaps occur when there's a significant price difference between the close of one period and the opening of the next, signaling market inefficiencies. Bullish gaps indicate potential upward momentum, while bearish gaps suggest potential downward pressure.
⚡ AbyssX Dip Hunter ⚡SP_Quant⚡AbyssX Dip Hunter ⚡ by SP_Quant
AbyssX Dip Hunter is a clean and effective indicator designed to help you identify potential dip-buying opportunities using Z-Score analysis and an optional RSI filter.
🔍 How It Works:
Z-Score Logic: Detects statistical price dips when the Z-Score drops below your set threshold.
Optional RSI Filter: Filters signals only when RSI is under a specified level — useful for avoiding false positives in strong trends.
Custom Color Mode: Choose your preferred signal color (Purple, Cyan, Green, or Orange).
Chart Visuals: Dip signals are shown with triangle markers and soft background highlights.
Live Info Panel: Displays real-time RSI, Z-Score, and signal status in a table on your chart.
⚙️ Settings:
Z-Score Length & Threshold
RSI Filter ON/OFF with custom RSI Length and Threshold
Visual Style (Color Mode)
✅ Best for traders who use oversold/mean-reversion strategies or look for extreme pullbacks.
⚠️ Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice, trading advice, or investment recommendations. Use it at your own risk. Always perform your own analysis before making any trading decisions. The author is not liable for any losses or damages resulting from the use of this script.
MK SpreadCalculates the spread between two instruments, with a primary use case of tracking the differential between real (inflation-adjusted) and nominal yields.
ZoneShift+StochZ+LRO + AI Breakout Bands [Combined]This composite Pine Script brings together four powerful trend and momentum tools into a single, easy-to-read overlay:
ZoneShift
Computes a dynamic “zone” around price via an EMA/HMA midpoint ± average high-low range.
Flags flips when price closes convincingly above or below that zone, coloring candles and drawing the zone lines in bullish or bearish hues.
Stochastic Z-Score
Converts your chosen price series into a statistical Z-score, then runs a Stochastic oscillator on it and HMA-smooths the result.
Marks momentum flips in extreme over-sold (below –2) or over-bought (above +2) territory.
Linear Regression Oscillator (LRO)
Builds a bar-indexed linear regression, normalizes it to standard deviations, and shows area-style up/down coloring.
Highlights local reversals when the oscillator crosses its own look-back values, and optionally plots LRO-colored candles on price.
AI Breakout Bands (Kalman + KNN)
Applies a Kalman filter to price, smooths it further with a KNN-weighted average, then measures mean-absolute-error bands around that smoothed line.
Colors the Kalman trend line and bands for bullish/bearish breaks, giving you a data-driven channel to trade.
Composite Signals & Alerts
Whenever the ZoneShift flip, Stoch Z-Score flip, and LRO reversal all agree and price breaks the AI bands in the same direction, the script plots a clear ▲ (bull) or ▼ (bear) on the chart and fires an alert. This triple-confirmation approach helps you zero in on high-probability reversal points, filtering out noise and combining trend, momentum, and statistical breakout criteria into one unified signal.
CVDD Z-ScoreCumulative Value Days Destroyed (CVDD) - The CVDD was created by Willy Woo and is the ratio of the cumulative value of Coin Days Destroyed in USD and the market age (in days). While this indicator is used to detect bottoms normally, an extension is used to allow detection of BTC tops. When the BTC price goes above the CVDD extension, BTC is generally considered to be overvalued. Because the "strength" of the BTC tops has decreased over the cycles, a logarithmic function for the extension was created by fitting past cycles as log extension = slope * time + intercept. This indicator is triggered for a top when the BTC price is above the CVDD extension. For the bottoms, the CVDD is shifted upwards at a default value of 120%. The slope, intercept, and CVDD bottom shift can all be modified in the script.
Now with the automatic Z-Score calculation for ease of classification of Bitcoin's valuation according to this metric.
Created for TRW.
Leader-Lagger DashboardSummary:
The ultimate frustration for a trader: being right on the idea, but wrong on the asset.
You correctly predict a market move, develop a solid bullish or bearish thesis, but the instrument you choose fails to follow through. Meanwhile, a correlated asset makes the exact move you anticipated, leaving you with a losing trade or a missed opportunity.
This common pitfall is precisely what the Leader/Lagger Dashboard is designed to solve.
The Solution: Instant Clarity on Relative Strength
The Leader/Lagger Dashboard provides a clear, real-time verdict on the relative strength between two correlated assets, such as ES (S&P 500 futures) and NQ (Nasdaq 100 futures).
By instantly identifying the Leader (the stronger asset) and the Lagger (the weaker asset), it empowers you to focus your capital on the instrument with the highest probability of performing in line with your market view.
As shown in the example image, if your idea is to short the market, choosing the "Weak" asset (ES) results in a winning trade, while shorting the "Strong" asset (NQ) would have failed. This tool helps you make that critical distinction before you enter.
How It Works
The engine at the core of this dashboard analyzes the price action of two assets on a higher timeframe (defaulting to 90 minutes). It measures how the current bar's high and low are performing relative to the previous bar's range for each asset. By comparing these normalized values, it generates a score to determine which asset is exhibiting stronger momentum (the Leader) and which is showing weakness (the Lagger).
A tie-breaking mechanism using a lower timeframe ensures you always have a decisive verdict.
How to Use It
The principle is simple: Go long the leader, and short the lagger.
If you are Bullish: Look for the asset marked "Strong." This is the instrument most likely to lead the upward move.
If you are Bearish: Look for the asset marked "Weak." This is the instrument most likely to lead the downward move.
By aligning your trade execution with the market's internal momentum, you dramatically increase your odds of success and avoid the frustration of trading against underlying strength or weakness.
Key Features
Instant Verdict: A simple on-chart table displays a "Strong" or "Weak" verdict for each asset.
Focus on the Leader: Easily identify which asset is leading the move to align your trades with momentum.
Avoid the Lagger: Steer clear of the weaker asset that might chop around or reverse, even if your directional bias is correct.
Fully Customizable: Change the two assets to any symbols you trade (e.g., GOLD vs. SILVER, EURUSD vs. GBPUSD).
Adjustable Display: Control the table's position and font size to perfectly fit your chart layout. The table is designed to be visible on lower timeframes (5-minutes and under) to assist with day trading execution.
This tool is designed to be a crucial part of your decision-making process, providing an objective layer of confirmation for your trading ideas. so Stop guessing and start trading the right asset.
As always, use this indicator in conjunction with your own complete analysis and risk management strategy.
Bitcoin Logarithmic Growth Curve 2025 Z-Score"The Bitcoin logarithmic growth curve is a concept used to analyze Bitcoin's price movements over time. The idea is based on the observation that Bitcoin's price tends to grow exponentially, particularly during bull markets. It attempts to give a long-term perspective on the Bitcoin price movements.
The curve includes an upper and lower band. These bands often represent zones where Bitcoin's price is overextended (upper band) or undervalued (lower band) relative to its historical growth trajectory. When the price touches or exceeds the upper band, it may indicate a speculative bubble, while prices near the lower band may suggest a buying opportunity.
Unlike most Bitcoin growth curve indicators, this one includes a logarithmic growth curve optimized using the latest 2024 price data, making it, in our view, superior to previous models. Additionally, it features statistical confidence intervals derived from linear regression, compatible across all timeframes, and extrapolates the data far into the future. Finally, this model allows users the flexibility to manually adjust the function parameters to suit their preferences.
The Bitcoin logarithmic growth curve has the following function:
y = 10^(a * log10(x) - b)
In the context of this formula, the y value represents the Bitcoin price, while the x value corresponds to the time, specifically indicated by the weekly bar number on the chart.
How is it made (You can skip this section if you’re not a fan of math):
To optimize the fit of this function and determine the optimal values of a and b, the previous weekly cycle peak values were analyzed. The corresponding x and y values were recorded as follows:
113, 18.55
240, 1004.42
451, 19128.27
655, 65502.47
The same process was applied to the bear market low values:
103, 2.48
267, 211.03
471, 3192.87
676, 16255.15
Next, these values were converted to their linear form by applying the base-10 logarithm. This transformation allows the function to be expressed in a linear state: y = a * x − b. This step is essential for enabling linear regression on these values.
For the cycle peak (x,y) values:
2.053, 1.268
2.380, 3.002
2.654, 4.282
2.816, 4.816
And for the bear market low (x,y) values:
2.013, 0.394
2.427, 2.324
2.673, 3.504
2.830, 4.211
Next, linear regression was performed on both these datasets. (Numerous tools are available online for linear regression calculations, making manual computations unnecessary).
Linear regression is a method used to find a straight line that best represents the relationship between two variables. It looks at how changes in one variable affect another and tries to predict values based on that relationship.
The goal is to minimize the differences between the actual data points and the points predicted by the line. Essentially, it aims to optimize for the highest R-Square value.
Below are the results:
snapshot
snapshot
It is important to note that both the slope (a-value) and the y-intercept (b-value) have associated standard errors. These standard errors can be used to calculate confidence intervals by multiplying them by the t-values (two degrees of freedom) from the linear regression.
These t-values can be found in a t-distribution table. For the top cycle confidence intervals, we used t10% (0.133), t25% (0.323), and t33% (0.414). For the bottom cycle confidence intervals, the t-values used were t10% (0.133), t25% (0.323), t33% (0.414), t50% (0.765), and t67% (1.063).
The final bull cycle function is:
y = 10^(4.058 ± 0.133 * log10(x) – 6.44 ± 0.324)
The final bear cycle function is:
y = 10^(4.684 ± 0.025 * log10(x) – -9.034 ± 0.063)
The main Criticisms of growth curve models:
The Bitcoin logarithmic growth curve model faces several general criticisms that we’d like to highlight briefly. The most significant, in our view, is its heavy reliance on past price data, which may not accurately forecast future trends. For instance, previous growth curve models from 2020 on TradingView were overly optimistic in predicting the last cycle’s peak.
This is why we aimed to present our process for deriving the final functions in a transparent, step-by-step scientific manner, including statistical confidence intervals. It's important to note that the bull cycle function is less reliable than the bear cycle function, as the top band is significantly wider than the bottom band.
Even so, we still believe that the Bitcoin logarithmic growth curve presented in this script is overly optimistic since it goes parly against the concept of diminishing returns which we discussed in this post:
This is why we also propose alternative parameter settings that align more closely with the theory of diminishing returns."
Now with Z-Score calculation for easy and constant valuation classification of Bitcoin according to this metric.
Created for TRW
Regime Reaper | QuantEdgeB📊 Regime Reaper | QuantEdgeB
🔍 What is Regime Reaper?
Regime Reaper is QuantEdgeB’s premier regime detection engine, designed to quantify market behavior through a scientific blend of stationarity tests, trend diagnostics, and reversion signals.
Rather than guessing if a market is trending or mean-reverting, Regime Reaper mathematically determines it—blending econometrics with market momentum, volatility texture, and predictive correlation.
💡 Think of Regime Reaper as a financial MRI — probing deep statistical layers to tell you what kind of environment you're in before you make a move.
⚙️ Core Components
✅ Z-Blend Framework
At its core, Regime Reaper combines up to 15 independent signals, each normalized via Z-Scores, including:
• 🧪 Stationarity Tests: ADF, KPSS, PP Test — detecting mean-reverting pressure or randomness
• 🌀 Cycle Predictors: Hurst exponent, Fourier approximation
• 🔥 Trend Strength: ADX, Price Momentum Correlation (PMC), Relative Price Change
• 💣 Volatility Analysis: GARCH, BBW, VAM
• ⚡ Behavioral Texture: Choppiness Index, Wavelet Energy, Half-Life
Each signal is optionally enabled/disabled — allowing surgical custom blends tailored to your asset or timeframe.
✅ Z-Avg Value Engine
• All active signals are aggregated into a composite Z-Score (Z-Avg)
• This value forms the backbone of regime classification logic
• Combined with adaptive percentile thresholds for precision detection
🎯 Regime Classification Logic
🧭 Z-Avg-Based Threshold Model
Regime Reaper classifies markets into three states:
Z-Avg Score Market Regime
≥ Threshold + Percentile 🔺 Trending
≥ Threshold Only ⚖️ Neutral / Weak Trend
≤ Reversion Threshold 🔻 Mean-Reverting
These scores are colored, plotted, and displayed in a histogram view to make regime transitions immediately visible.
✅ Custom threshold values via:
• Trending Threshold
• Reverting Threshold
• Percentile Rank Comparison
📊 Dashboard Overlay (Optional)
Regime Reaper includes three live tables:
1. Metrics Panel (𝓡𝓮𝓰𝓲𝓶𝓮 𝓡𝓮𝓪𝓹𝓮𝓻)
o Displays the Z-Score of each active metric
o Highlights total Z-Blend Score
o Shows current regime stage (Trending, Reverting, Neutral)
2. Signal Scanner Table
o Explains current Z-Avg score & decision logic
o Displays thresholds for trend/revert neutrality
o Delivers a stage verdict with live updates
3. Info Panel
o Visual color-coded regime bars
o Snapshot of all 3 possible states
🎨 Visual Signal System
• Z-Avg Histogram — core value colored by regime state
• Background Coloring — lightly shades trending vs reverting periods
• Table Text Coloring — shows metric strength in live table updates
• User-Specified Color Themes — switch between Magic, Strategy, Cool, etc.
🧠 Why Use Regime Reaper?
Because knowing the market’s regime changes everything:
• Reversion strategies fail in strong trends
• Trend systems bleed during choppy reverts
• Random walks are dangerous to both
With Regime Reaper, you no longer have to guess — you measure.
💼 Ideal Use Cases
• Trend vs Mean-Reversion Filters
• System Mode Switching (Auto Toggle)
• Volatility Regime Adaptation
• Signal Confidence Boosting (by regime match)
• Portfolio Allocation Strategy Filters
🧬 Default Config
• Composite Model: All 15 metrics ON
• Trending Threshold: +0.15
• Reversion Threshold: −0.15
• Adaptive Filtering via Percentile Ranks
🧬 In Summary
Regime Reaper | QuantEdgeB is more than a filter — it's a regime recognition system built on powerful statistical indicators and dynamic Z-Score fusion. It doesn’t just observe behavior; it categorizes it.
Use it to confirm entries, time exits, suppress signals in bad regimes, or dynamically change your system logic.
📌 Trade the Right Logic in the Right Market | Powered by QuantEdgeB
🔹 Disclaimer: No indicator guarantees future performance.
🔹 Tip: Tune metric
15-Min ORB Box x SmartBlackGirlThe 15-Minute ORB (Opening Range Breakout) Box plots the first 15-minute high and low after the market opens, giving you a visual reference for potential breakout zones and **direction
Multi-Tool Nasdaq US100 IndikatorA combination of several tools such as moving averages (EMA 50, 100, 200), Fibonacci retracements, pivot points, RSI (Relative Strength Index), order blocks, fair value gaps, supply and demand zones, and a simple volume profile.
The indicator is designed to enable high profitability by combining various established technical analysis approaches into one tool, facilitating decision-making regarding entry and exit points.
The script can be integrated and used directly in TradingView by creating a new indicator script and pasting the code there.
Risk & Money Calculator / Fixed Losses This indicator is designed for people who want to control their losses as precisely as possible!
It allows you to quickly calculate the potential loss on a position, taking commission into account. It's designed so that you can have a fixed loss with different stop-loss lengths by adjusting the position size, expressed in currency!
Next to the Stop Loss price, you'll see the percentage distance to the stop and the actual loss, including the double commission (for opening and closing).
The indicator is very easy to use. You select the trade direction, enter the entry price, and the Stop Loss price. Optionally, you can set a Take Profit price to visualize the profit percentage! Since commission is charged both when opening and closing a position, you need to specify the size of your one-way commission.
Important!
• DON'T FORGET ABOUT LIQUIDATION, WHICH HAPPENS BEFORE THE CORRESPONDING STOP LOSS PERCENTAGE IS REACHED!
• YOU ARE SOLELY RESPONSIBLE FOR YOUR CALCULATIONS AND LOSSES!
• IF YOU HAVE ANY WISHES OR SUGGESTIONS RELATED TO THE INDICATOR'S OPERATION, I'M READY TO LISTEN AND POSSIBLY MAKE CHANGES TO ITS FUNCTIONALITY!
Bitcoin: Pi Cycle Top & Bottom Indicator Z ScoreIndicator Overview
The Pi Cycle Top Indicator has historically been effective in picking out the timing of market cycle highs within 3 days.
It uses the 111 day moving average (111DMA) and a newly created multiple of the 350 day moving average, the 350DMA x 2.
Note: The multiple is of the price values of the 350DMA, not the number of days.
For the past three market cycles, when the 111DMA moves up and crosses the 350DMA x 2 we see that it coincides with the price of Bitcoin peaking.
It is also interesting to note that 350 / 111 is 3.153, which is very close to Pi = 3.142. In fact, it is the closest we can get to Pi when dividing 350 by another whole number.
It once again demonstrates the cyclical nature of Bitcoin price action over long time frames. However, in this instance, it does so with a high degree of accuracy over Bitcoin's adoption phase of growth.
Bitcoin Price Prediction Using This Tool
The Pi Cycle Top Indicator forecasts the cycle top of Bitcoin’s market cycles. It attempts to predict the point where Bitcoin price will peak before pulling back. It does this on major high time frames and has picked the absolute tops of Bitcoin’s major price moves throughout most of its history.
How It Can Be Used
Pi Cycle Top is useful to indicate when the market is very overheated. So overheated that the shorter-term moving average, which is the 111-day moving average, has reached an x2 multiple of the 350-day moving average. Historically, it has proved advantageous to sell Bitcoin around this time in Bitcoin's price cycles.
It is also worth noting that this indicator has worked during Bitcoin's adoption growth phase, the first 15 years or so of Bitcoin's life. With the launch of Bitcoin ETF's and Bitcoin's increased integration into the global financial system, this indicator may cease to be relevant at some point in this new market structure.
Added the Z-Score metric for easy classification of the value of Bitcoin according to this indicator.
Created for TRW
Opening Range Breakout (9:30 - 9:45 EST)Here's a Pine Script (v5) for TradingView that plots the Opening Range Breakout (ORB) lines from 9:30 AM to 9:45 AM EST on a 15-minute chart.
It draws a green line at the high of the opening range and a red line at the low, both extending through the rest of the day.
buysellsignal-Santhosh Buy Point and Sell PointThis indicator utilizes a custom signal engine based on price depth, deviation, and backstep algorithms to identify potential buy/sell zones. It marks critical swing points on the chart and triggers signals based on directional price shifts. Users can customize input parameters and visual styling, and alerts are integrated for seamless automation. Designed for traders seeking dynamic entry/exit signals and compatible with algorithmic trading strategies
STATEMAP | QuantEdgeBIntroducing STATEMAP by QuantEdgeB
🔍 Overview
STATEMAP | QuantEdgeB is a holistic Trend & Valuation dashboard for 16 key crypto and index assets. It distills each asset’s momentum regime and valuation state into two live averages—trend average and valuation average—and presents them via color-coded candles, dynamic plots, and a comprehensive bottom-right table. Switch effortlessly between Trend and Valuation views to spot regime shifts across the market.
✨ Key Features
• 🧭 Trend vs. Valuation Toggle
Flip between viewing the overall market’s trend average or its valuation average with a single input.
• 📊 Trend Average
Aggregates each asset’s directional bias (bullish vs. bearish) into one composite gauge that flags risk-on vs. risk-off regimes.
• 💎 Valuation Average
Blends each asset’s statistical valuation score to highlight extreme under-/over-valued conditions.
• 🎨 Color-Coded Visualization
Candles turn blue for bullish, red for bearish, and gray for neutral; fills and horizontal bands reinforce regime thresholds.
• 🗺️ Live Asset Matrix
A 16×8 table shows for each symbol:
• Current Trend (Bullish/Bearish)
• Score & Prior Score with direction arrows (⬆️/⬇️/🔄)
• RoC (momentum change)
• Valuation State label (e.g. “Strong UnderValued”)
• Valuation value & prior value with change indicator
• 🚦 Market Stage Banner
A top-row line combines both averages into a concise “Market Stage” message (e.g. “Trend ⟹ Bullish Value ⟹ Sli. OverValued”).
⚙️ How It Works
• Universal Trend Assessment
Uses a library of trend-following logic to classify each asset as bullish or bearish, then averages those signals into the trend average.
• Adaptive Valuation Mapping
Evaluates each asset’s statistical valuation band, maps it into intuitive labels (under-/fair-/over-valued), and averages into the valuation average.
• Regime Thresholds
• Trend average above +0.1 ⇒ risk-on (bullish); below –0.1 ⇒ risk-off (bearish); otherwise neutral.
• Valuation average buckets assign six states from “Strong UnderValued” to “Strong OverValued.”
• Dynamic Visualization
Color-coded candlesticks and filled plot areas highlight when the market crosses key levels, making regime changes immediately apparent.
🎯 Who Should Use It
• Systematic Traders looking for a unified regime filter across multiple assets
• Portfolio Managers wanting a pulse on market momentum vs. valuation before reallocations
• Swing & Position Traders confirming cross-asset alignment or spotting divergences
• Risk Managers monitoring broad contractions (trend bearish) vs. expansions (trend bullish) alongside valuation extremes
🧬 Default Settings
• View Mode: Trend
• Bar color: Yes
• Assets Covered: TOTAL market cap, TOTAL OTHERS, BTC, ETH, SOL, FET, RNDR, INJ, VRA, ORDI, PAAL, ONDO, TIA, AKT, PEPE, DOGE
📌 Conclusion
STATEMAP | QuantEdgeB delivers a clear, emoji-tagged map of where the crypto market stands in both momentum and valuation space. With an easy toggle and a rich dashboard, it empowers you to make regime-aware trading and allocation decisions at a glance.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Gold Killzone Bias Suite🟡 Gold Killzone Bias Suite
The Gold Killzone Bias Suite is an advanced institutional-grade tool designed to generate high-confidence directional bias for XAU/USD (Gold) during the London and New York killzones.
Built for traders using a structured, confluence-driven approach, this tool blends price action, smart money principles, momentum, and volume into a real-time bias engine with a clean, easy-to-read dashboard.
🔧 Key Features
🕰️ Session-Based Bias (London / New York)
Independent bias calculation per session
Killzone times customizable with timezone support
Background highlighting (blue/red) for each session
📊 VWAP Engine
Reclaim & rejection detection
VWAP deviation alerts
Daily HTF VWAP integration
Score impact based on VWAP behaviour
📉 Market Structure (CHoCH / BOS)
Detects swing highs/lows
Labels bullish/bearish CHoCHs
Structure score contributes to session bias
💧 Liquidity Grabs
Detects stop hunts above highs / below lows
Confirms with candle rejection (body % filter)
Plots labels and adds to bias scoring
⚡ Momentum Filters
RSI: Bullish >55, Bearish <45
MACD: Histogram + Signal Line crossovers
Combined momentum score used in bias
🧠 Smart Money Proximity
Optional FVG/OB score toggle (placeholder for custom logic)
Adds static confluence for proximity-based setups
⏫ Higher Time Frame Context
Daily VWAP comparison
4H high/low structure breaks
Adds trend score to current session bias
🧠 How Bias Works
The suite uses a scoring model. Each confluence adds or subtracts points:
VWAP reclaim/reject: ±30
CHoCH/BOS: ±30
Liquidity grab: ±20
RSI/MACD: ±10
FVG/OB Proximity: +10
Daily VWAP trend: ±10
H4 Trend Break: ±10
Final Bias:
Bullish if score ≥ +20
Bearish if score ≤ -20
Neutral if between -19 and +19
A confidence % (capped at 100) is also shown, along with the contributing confluences (VWAP, Structure, Liquidity, etc.).
📋 Dashboard
A real-time dashboard shows for each session:
Session name and time
Bias (Bullish / Bearish / Neutral)
Confidence (%)
Confluences used
Position can be moved (Top Left, Top Right, etc.). Designed to be unobtrusive yet informative.
🧪 Best Practices
Use on 15m / 5m charts for intraday setups
Confirm with D1 or H4 structure for directional context
Combine with OB/FVG zones or SMT for entries
Use Trading View alerts for bias flips or liquidity grabs (custom logic can be added)
Bar Replay compatible for back testing and journaling bias shifts
🔐 Notes
Does not generate trade signals or alerts by default
Focused on bias generation and confluence stacking
Compatible with funded account trading models
📈 Built for traders who want a systematic, score-based approach to identifying directional edge in high-volume gold sessions.
Year Dividers with LabelsDraws year start markers due visually show start of a year. Useful when looking at year seasonality and related factors
Fundamental Analysis & Economic-Based Stock ValuationFundamental Analysis & Economic-Based Stock Valuation
The Fundamental Analysis & Economic-Based Stock Valuation is a powerful tool designed to give traders and investors a quick, comprehensive overview of a company’s financial health. This horizontal, color-coded table includes live financial data, progress indicators, and smart health insights for informed decision-making. Below are the key financial metrics included in the table:
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1. Market Capitalization (Market Cap)
Definition: Market Cap is calculated as the total number of outstanding shares multiplied by the current stock price.
Importance: This gives investors an idea of the company’s size and valuation.
How to Use:
• Large-cap stocks (> $10B) are typically stable, established companies.
• Small- or mid-cap stocks may offer higher growth but come with more volatility.
aiTrendview Feature: Progress bars visually represent the company's size. This helps users quickly gauge whether the stock is a micro-cap, mid-cap, or large-cap investment opportunity.
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2. Earnings Yield (%)
Definition: Earnings Yield = (EPS / Price) × 100. It shows how much a company earns relative to its stock price.
Importance: It’s the inverse of the P/E ratio and is used to compare returns from equity with bond yields.
How to Use:
• A yield > 10% may indicate undervaluation.
• Lower yield (< 3%) may indicate an overpriced stock.
aiTrendview Feature: Health indicators like “STRONG”, “FAIR”, or “POOR” and a progress bar help investors assess return potential relative to risk.
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3. Price-to-Book Ratio (P/B Ratio)
Definition: P/B Ratio = Market Price / Book Value per Share.
Importance: Measures market valuation relative to the company's net assets.
How to Use:
• A ratio < 1 can mean the stock is undervalued.
• 3 might indicate overvaluation unless justified by high ROE.
aiTrendview Feature: Color-coded health markers show if the company is UNDERVALUED, FAIR, or OVERVALUED, making valuation analysis visual.
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4. Price-to-Earnings Ratio (P/E Ratio)
Definition: P/E = Price / Earnings per Share. It tells you how much investors are paying for each unit of earnings.
Importance: One of the most commonly used valuation metrics.
How to Use:
• A low P/E (< 15) might indicate undervaluation.
• High P/E (> 30) could mean overvaluation or growth expectations.
aiTrendview Feature: The health indicator ("CHEAP", "FAIR", "HIGH", "EXPENSIVE") with a visual bar helps judge sentiment and valuation instantly.
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5. Price-to-Sales Ratio (P/S Ratio)
Definition: Market Cap / Revenue. Indicates how much investors pay per dollar of sales.
Importance: Useful for valuing companies with low or negative earnings.
How to Use:
• < 2 is attractive in most industries.
• Higher ratios need to be justified by strong growth.
aiTrendview Feature: P/S-based health tags and progress bars help traders decide whether the stock is reasonably priced on revenue.
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6. EBITDA (Earnings Before Interest, Taxes, Depreciation & Amortization)
Definition: A measure of a company's core operational profitability.
Importance: Strips out non-operational costs and is used for comparative analysis.
How to Use:
• Positive EBITDA suggests financial strength.
• Compare year-over-year for growth consistency.
aiTrendview Feature: Visual score and health indicator classify profitability status as “PROFIT” or “LOSS”.
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7. Total Revenue
Definition: The total income from sales before expenses.
Importance: Indicates the scale of business operations.
How to Use:
• Rising revenue over quarters = growth.
• Compare with competitors for market share insight.
aiTrendview Feature: Categorizes revenue scale as “MICRO”, “SMALL”, “MEDIUM”, or “LARGE” – useful for gauging company tier.
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8. Net Income
Definition: Profit after all expenses, taxes, and interest.
Importance: Shows the company’s actual profitability.
How to Use:
• Positive Net Income = healthy bottom line.
• Use for EPS and ROE calculations.
aiTrendview Feature: Margin percentage + status label (“PROFIT” or “LOSS”) instantly convey financial strength.
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9. Book Value Per Share (BVPS)
Definition: Total equity divided by the number of outstanding shares.
Importance: Indicates the liquidation value per share.
How to Use:
• Compare with current market price.
• Price < BVPS can mean undervaluation.
aiTrendview Feature: Shows whether the stock is trading at “DISCOUNT” or “PREMIUM” to its actual value.
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10. Earnings Per Share (EPS)
Definition: Net income divided by outstanding shares.
Importance: Measures profitability on a per-share basis.
How to Use:
• Key input for valuation and dividend decisions.
• Positive EPS is essential for investment appeal.
aiTrendview Feature: Labeled “PROFIT” or “LOSS” and enhanced with visual status for clarity.
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11. Symbol & Exchange Info
Definition: Displays the trading symbol and exchange (e.g., NSE, NYSE).
Importance: Ensures clarity when analyzing or sharing screenshots.
How to Use:
• Useful for verifying ticker and confirming data source.
aiTrendview Feature: Clearly displayed with "LIVE" tag for credibility.
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12. Fundamental Health Score
Definition: aiTrendview computes a composite score (0–100) based on 5 core metrics: Net Income, EPS, P/E, P/B, and EBITDA.
Importance: Provides a single summary score to assess the company's overall financial strength.
How to Use:
• Use this as a filter to shortlist strong candidates.
• Score > 80 = “EXCELLENT”; 60–80 = “GOOD”; < 40 = “POOR”.
aiTrendview Feature: A professional horizontal progress bar with color-coded grade makes it visually intuitive.
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⚠️ Disclaimer from aiTrendview
The information provided in this Fundamental Analysis dashboard is for educational and informational purposes only. While the data is sourced live and computed dynamically, it should not be interpreted as investment advice. Traders and investors must do their own due diligence and consider risk appetite, macroeconomic factors, and other indicators before making any financial decisions. aiTrendview.com or its affiliates shall not be held liable for any loss arising from the use of this tool. Markets are risky — trade wisely and responsibly.
