Chainbey Ai - Swing High/Low Range📈 Chainbey Ai – Swing High / Swing Low Range
Chainbey Ai – Swing High / Swing Low Range is a clean and powerful market-structure indicator designed to automatically identify key swing levels and visualize the active price range on any chart.
This tool helps traders clearly see where price is reacting, consolidating, or preparing for a breakout.
🔹 What This Indicator Does
✔ Automatically detects the latest confirmed Swing High
✔ Automatically detects the latest confirmed Swing Low
✔ Draws horizontal levels for both swings
✔ Labels levels clearly as “Swing High” and “Swing Low”
✔ Highlights the range between swings using a background fill
✔ Updates dynamically as new market structure forms
🔹 Why It’s Useful
Identify support & resistance without manual drawing
Visualize consolidation zones instantly
Spot breakout and fake-out areas faster
Ideal for range trading, breakout trading, and trend confirmation
Works perfectly with price action, volume, and order-flow concepts
🔹 Best Use Cases
Crypto (Spot & Futures)
Forex
Indices
Commodities (Gold, Silver, Oil)
Timeframes: Works on all timeframes (especially strong on 15M, 30M, 1H)
🔹 How to Trade With It
Buy bias when price holds above Swing Low inside the range
Sell bias when price rejects from Swing High
Breakout confirmation when price closes strongly outside the range
Combine with volume, momentum, or liquidity concepts for higher accuracy
🔹 Customization
Adjust Swing Length to control sensitivity
Enable/disable range background fill
Customize colors and transparency
Extend swing levels to the right for forward guidance
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always manage risk and confirm signals with your own strategy.
🔗 Built by Chainbey Ai
Smart Structure • Clean Levels • Clear Ranges 🚀
Tìm kiếm tập lệnh với "GOLD"
DeeptestDeeptest: Quantitative Backtesting Library for Pine Script
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█ OVERVIEW
Deeptest is a Pine Script library that provides quantitative analysis tools for strategy backtesting. It calculates over 100 statistical metrics including risk-adjusted return ratios (Sharpe, Sortino, Calmar), drawdown analysis, Value at Risk (VaR), Conditional VaR, and performs Monte Carlo simulation and Walk-Forward Analysis.
█ WHY THIS LIBRARY MATTERS
Pine Script is a simple yet effective coding language for algorithmic and quantitative trading. Its accessibility enables traders to quickly prototype and test ideas directly within TradingView. However, the built-in strategy tester provides only basic metrics (net profit, win rate, drawdown), which is often insufficient for serious strategy evaluation.
Due to this limitation, many traders migrate to alternative backtesting platforms that offer comprehensive analytics. These platforms require other language programming knowledge, environment setup, and significant time investment—often just to test a simple trading idea.
Deeptest bridges this gap by bringing institutional-level quantitative analytics directly to Pine Script. Traders can now perform sophisticated analysis without leaving TradingView or learning complex external platforms. All calculations are derived from strategy.closedtrades.* , ensuring compatibility with any existing Pine Script strategy.
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█ ORIGINALITY AND USEFULNESS
This library is original work that adds value to the TradingView community in the following ways:
1. Comprehensive Metric Suite: Implements 112+ statistical calculations in a single library, including advanced metrics not available in TradingView's built-in tester (p-value, Z-score, Skewness, Kurtosis, Risk of Ruin).
2. Monte Carlo Simulation: Implements trade-sequence randomization to stress-test strategy robustness by simulating 1000+ alternative equity curves.
3. Walk-Forward Analysis: Divides historical data into rolling in-sample and out-of-sample windows to detect overfitting by comparing training vs. testing performance.
4. Rolling Window Statistics: Calculates time-varying Sharpe, Sortino, and Expectancy to analyze metric consistency throughout the backtest period.
5. Interactive Table Display: Renders professional-grade tables with color-coded thresholds, tooltips explaining each metric, and period analysis cards for drawdowns/trades.
6. Benchmark Comparison: Automatically fetches S&P 500 data to calculate Alpha, Beta, and R-squared, enabling objective assessment of strategy skill vs. passive investing.
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█ KEY FEATURES
Performance Metrics
Net Profit, CAGR, Monthly Return, Expectancy
Profit Factor, Payoff Ratio, Sample Size
Compounding Effect Analysis
Risk Metrics
Sharpe Ratio, Sortino Ratio, Calmar Ratio (MAR)
Martin Ratio, Ulcer Index
Max Drawdown, Average Drawdown, Drawdown Duration
Risk of Ruin, R-squared (equity curve linearity)
Statistical Distribution
Value at Risk (VaR 95%), Conditional VaR
Skewness (return asymmetry)
Kurtosis (tail fatness)
Z-Score, p-value (statistical significance testing)
Trade Analysis
Win Rate, Breakeven Rate, Loss Rate
Average Trade Duration, Time in Market
Consecutive Win/Loss Streaks with Expected values
Top/Worst Trades with R-multiple tracking
Advanced Analytics
Monte Carlo Simulation (1000+ iterations)
Walk-Forward Analysis (rolling windows)
Rolling Statistics (time-varying metrics)
Out-of-Sample Testing
Benchmark Comparison
Alpha (excess return vs. benchmark)
Beta (systematic risk correlation)
Buy & Hold comparison
R-squared vs. benchmark
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█ QUICK START
Basic Usage
//@version=6
strategy("My Strategy", overlay=true)
// Import the library
import Fractalyst/Deeptest/1 as *
// Your strategy logic
fastMA = ta.sma(close, 10)
slowMA = ta.sma(close, 30)
if ta.crossover(fastMA, slowMA)
strategy.entry("Long", strategy.long)
if ta.crossunder(fastMA, slowMA)
strategy.close("Long")
// Run the analysis
DT.runDeeptest()
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█ METRIC EXPLANATIONS
The Deeptest table displays 23 metrics across the main row, with 23 additional metrics in the complementary row. Each metric includes detailed tooltips accessible by hovering over the value.
Main Row — Performance Metrics (Columns 0-6)
Net Profit — (Final Equity - Initial Capital) / Initial Capital × 100
— >20%: Excellent, >0%: Profitable, <0%: Loss
— Total return percentage over entire backtest period
Payoff Ratio — Average Win / Average Loss
— >1.5: Excellent, >1.0: Good, <1.0: Losses exceed wins
— Average winning trade size relative to average losing trade. Breakeven win rate = 100% / (1 + Payoff)
Sample Size — Count of closed trades
— >=30: Statistically valid, <30: Insufficient data
— Number of completed trades. Includes 95% confidence interval for win rate in tooltip
Profit Factor — Gross Profit / Gross Loss
— >=1.5: Excellent, >1.0: Profitable, <1.0: Losing
— Ratio of total winnings to total losses. Uses absolute values unlike payoff ratio
CAGR — (Final / Initial)^(365.25 / Days) - 1
— >=10%: Excellent, >0%: Positive growth
— Compound Annual Growth Rate - annualized return accounting for compounding
Expectancy — Sum of all returns / Trade count
— >0.20%: Excellent, >0%: Positive edge
— Average return per trade as percentage. Positive expectancy indicates profitable edge
Monthly Return — Net Profit / (Months in test)
— >0%: Profitable month average
— Average monthly return. Geometric monthly also shown in tooltip
Main Row — Trade Statistics (Columns 7-14)
Avg Duration — Average time in position per trade
— Mean holding period from entry to exit. Influenced by timeframe and trading style
Max CW — Longest consecutive winning streak
— Maximum consecutive wins. Expected value = ln(trades) / ln(1/winRate)
Max CL — Longest consecutive losing streak
— Maximum consecutive losses. Important for psychological risk tolerance
Win Rate — Wins / Total Trades
— Higher is better
— Percentage of profitable trades. Breakeven win rate shown in tooltip
BE Rate — Breakeven Trades / Total Trades
— Lower is better
— Percentage of trades that broke even (neither profit nor loss)
Loss Rate — Losses / Total Trades
— Lower is better
— Percentage of unprofitable trades. Together with win rate and BE rate, sums to 100%
Frequency — Trades per month
— Trading activity level. Displays intelligently (e.g., "12/mo", "1.5/wk", "3/day")
Exposure — Time in market / Total time × 100
— Lower = less risk
— Percentage of time the strategy had open positions
Main Row — Risk Metrics (Columns 15-22)
Sharpe Ratio — (Return - Rf) / StdDev × sqrt(Periods)
— >=3: Excellent, >=2: Good, >=1: Fair, <1: Poor
— Measures risk-adjusted return using total volatility. Annualized using sqrt(252) for daily
Sortino Ratio — (Return - Rf) / DownsideDev × sqrt(Periods)
— >=2: Excellent, >=1: Good, <1: Needs improvement
— Similar to Sharpe but only penalizes downside volatility. Can be higher than Sharpe
Max DD — (Peak - Trough) / Peak × 100
— <5%: Excellent, 5-15%: Moderate, 15-30%: High, >30%: Severe
— Largest peak-to-trough decline in equity. Critical for risk tolerance and position sizing
RoR — Risk of Ruin probability
— <1%: Excellent, 1-5%: Acceptable, 5-10%: Elevated, >10%: Dangerous
— Probability of losing entire trading account based on win rate and payoff ratio
R² — R-squared of equity curve vs. time
— >=0.95: Excellent, 0.90-0.95: Good, 0.80-0.90: Moderate, <0.80: Erratic
— Coefficient of determination measuring linearity of equity growth
MAR — CAGR / |Max Drawdown|
— Higher is better, negative = bad
— Calmar Ratio. Reward relative to worst-case loss. Negative if max DD exceeds CAGR
CVaR — Average of returns below VaR threshold
— Lower absolute is better
— Conditional Value at Risk (Expected Shortfall). Average loss in worst 5% of outcomes
p-value — Binomial test probability
— <0.05: Significant, 0.05-0.10: Marginal, >0.10: Likely random
— Probability that observed results are due to chance. Low p-value means statistically significant edge
Complementary Row — Extended Metrics
Compounding — (Compounded Return / Total Return) × 100
— Percentage of total profit attributable to compounding (position sizing)
Avg Win — Sum of wins / Win count
— Average profitable trade return in percentage
Avg Trade — Sum of all returns / Total trades
— Same as Expectancy (Column 5). Displayed here for convenience
Avg Loss — Sum of losses / Loss count
— Average unprofitable trade return in percentage (negative value)
Martin Ratio — CAGR / Ulcer Index
— Similar to Calmar but uses Ulcer Index instead of Max DD
Rolling Expectancy — Mean of rolling window expectancies
— Average expectancy calculated across rolling windows. Shows consistency of edge
Avg W Dur — Avg duration of winning trades
— Average time from entry to exit for winning trades only
Max Eq — Highest equity value reached
— Peak equity achieved during backtest
Min Eq — Lowest equity value reached
— Trough equity point. Important for understanding worst-case absolute loss
Buy & Hold — (Close_last / Close_first - 1) × 100
— >0%: Passive profit
— Return of simply buying and holding the asset from backtest start to end
Alpha — Strategy CAGR - Benchmark CAGR
— >0: Has skill (beats benchmark)
— Excess return above passive benchmark. Positive alpha indicates genuine value-added skill
Beta — Covariance(Strategy, Benchmark) / Variance(Benchmark)
— <1: Less volatile than market, >1: More volatile
— Systematic risk correlation with benchmark
Avg L Dur — Avg duration of losing trades
— Average time from entry to exit for losing trades only
Rolling Sharpe/Sortino — Dynamic based on win rate
— >2: Good consistency
— Rolling metric across sliding windows. Shows Sharpe if win rate >50%, Sortino if <=50%
Curr DD — Current drawdown from peak
— Lower is better
— Present drawdown percentage. Zero means at new equity high
DAR — CAGR adjusted for target DD
— Higher is better
— Drawdown-Adjusted Return. DAR^5 = CAGR if max DD = 5%
Kurtosis — Fourth moment / StdDev^4 - 3
— ~0: Normal, >0: Fat tails, <0: Thin tails
— Measures "tailedness" of return distribution (excess kurtosis)
Skewness — Third moment / StdDev^3
— >0: Positive skew (big wins), <0: Negative skew (big losses)
— Return distribution asymmetry
VaR — 5th percentile of returns
— Lower absolute is better
— Value at Risk at 95% confidence. Maximum expected loss in worst 5% of outcomes
Ulcer — sqrt(mean(drawdown^2))
— Lower is better
— Ulcer Index - root mean square of drawdowns. Penalizes both depth AND duration
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█ MONTE CARLO SIMULATION
Purpose
Monte Carlo simulation tests strategy robustness by randomizing the order of trades while keeping trade returns unchanged. This simulates alternative equity curves to assess outcome variability.
Method
Extract all historical trade returns
Randomly shuffle the sequence (1000+ iterations)
Calculate cumulative equity for each shuffle
Build distribution of final outcomes
Output
The stress test table shows:
Median Outcome: 50th percentile result
5th Percentile: Worst 5% of outcomes
95th Percentile: Best 95% of outcomes
Success Rate: Percentage of simulations that were profitable
Interpretation
If 95% of simulations are profitable: Strategy is robust
If median is far from actual result: High variance/unreliability
If 5th percentile shows large loss: High tail risk
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█ WALK-FORWARD ANALYSIS
Purpose
Walk-Forward Analysis (WFA) is the gold standard for detecting strategy overfitting. It simulates real-world trading by dividing historical data into rolling "training" (in-sample) and "validation" (out-of-sample) periods. A strategy that performs well on unseen data is more likely to succeed in live trading.
Method
The implementation uses a non-overlapping window approach following AmiBroker's gold standard methodology:
Segment Calculation: Total trades divided into N windows (default: 12), IS = ~75%, OOS = ~25%, Step = OOS length
Window Structure: Each window has IS (training) followed by OOS (validation). Each OOS becomes the next window's IS (rolling forward)
Metrics Calculated: CAGR, Sharpe, Sortino, MaxDD, Win Rate, Expectancy, Profit Factor, Payoff
Aggregation: IS metrics averaged across all IS periods, OOS metrics averaged across all OOS periods
Output
IS CAGR: In-sample annualized return
OOS CAGR: Out-of-sample annualized return ( THE key metric )
IS/OOS Sharpe: In/out-of-sample risk-adjusted return
Success Rate: % of OOS windows that were profitable
Interpretation
Robust: IS/OOS CAGR gap <20%, OOS Success Rate >80%
Some Overfitting: CAGR gap 20-50%, Success Rate 50-80%
Severe Overfitting: CAGR gap >50%, Success Rate <50%
Key Principles:
OOS is what matters — Only OOS predicts live performance
Consistency > Magnitude — 10% IS / 9% OOS beats 30% IS / 5% OOS
Window count — More windows = more reliable validation
Non-overlapping OOS — Prevents data leakage
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█ TABLE DISPLAY
Main Table — Organized into three sections:
Performance Metrics (Cols 0-6): Net Profit, Payoff, Sample Size, Profit Factor, CAGR, Expectancy, Monthly
Trade Statistics (Cols 7-14): Avg Duration, Max CW, Max CL, Win, BE, Loss, Frequency, Exposure
Risk Metrics (Cols 15-22): Sharpe, Sortino, Max DD, RoR, R², MAR, CVaR, p-value
Color Coding
🟢 Green: Excellent performance
🟠 Orange: Acceptable performance
⚪ Gray: Neutral / Fair
🔴 Red: Poor performance
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█ IMPLEMENTATION NOTES
Data Source: All metrics calculated from strategy.closedtrades , ensuring compatibility with any Pine Script strategy
Calculation Timing: All calculations occur on barstate.islastconfirmedhistory to optimize performance
Limitations: Requires at least 1 closed trade for basic metrics, 30+ trades for reliable statistical analysis
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█ QUICK NOTES
➙ This library has been developed and refined over two years of real-world strategy testing. Every calculation has been validated against industry-standard quantitative finance references.
➙ The entire codebase is thoroughly documented inline. If you are curious about how a metric is calculated or want to understand the implementation details, dive into the source code -- it is written to be read and learned from.
➙ This description focuses on usage and concepts rather than exhaustively listing every exported type and function. The library source code is thoroughly documented inline -- explore it to understand implementation details and internal logic.
➙ All calculations execute on barstate.islastconfirmedhistory to minimize runtime overhead. The library is designed for efficiency without sacrificing accuracy.
➙ Beyond analysis, this library serves as a learning resource. Study the source code to understand quantitative finance concepts, Pine Script advanced techniques, and proper statistical methodology.
➙ Metrics are their own not binary good/bad indicators. A high Sharpe ratio with low sample size is misleading. A deep drawdown during a market crash may be acceptable. Study each function and metric individually -- evaluate your strategy contextually, not by threshold alone.
➙ All strategies face alpha decay over time. Instead of over-optimizing a single strategy on one timeframe and market, build a diversified portfolio across multiple markets and timeframes. Deeptest helps you validate each component so you can combine robust strategies into a trading portfolio.
➙ Screenshots shown in the documentation are solely for visual representation to demonstrate how the tables and metrics will be displayed. Please do not compare your strategy's performance with the metrics shown in these screenshots -- they are illustrative examples only, not performance targets or benchmarks.
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█ HOW-TO
Using Deeptest is intentionally straightforward. Just import the library and call DT.runDeeptest() at the end of your strategy code in main scope. .
//@version=6
strategy("My Strategy", overlay=true)
// Import the library
import Fractalyst/Deeptest/1 as DT
// Your strategy logic
fastMA = ta.sma(close, 10)
slowMA = ta.sma(close, 30)
if ta.crossover(fastMA, slowMA)
strategy.entry("Long", strategy.long)
if ta.crossunder(fastMA, slowMA)
strategy.close("Long")
// Run the analysis
DT.runDeeptest()
And yes... it's compatible with any TradingView Strategy! 🪄
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█ CREDITS
Author: @Fractalyst
Font Library: by @fikira - @kaigouthro - @Duyck
Community: Inspired by the @PineCoders community initiative, encouraging developers to contribute open-source libraries and continuously enhance the Pine Script ecosystem for all traders.
if you find Deeptest valuable in your trading journey, feel free to use it in your strategies and give a shoutout to @Fractalyst -- Your recognition directly supports ongoing development and open-source contributions to Pine Script.
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█ DISCLAIMER
This library is provided for educational and research purposes. Past performance does not guarantee future results. Always test thoroughly and use proper risk management. The author is not responsible for any trading losses incurred through the use of this code.
Power Hour Trendlines [LuxAlgo]The Power Hour Trendlines indicator is based on Power Hours detection, and includes up to three displayed trendlines derived from the closing prices of all the bars within the last user-selected Power Hours.
Users can edit the time of Power Hours, choose how many sessions to take into account, enable or disable any trendlines, and change their colors.
🔶 USAGE
The Power Hour is defined as the last hour of the trading session and is set by default from 3:00 p.m. to 4:00 p.m. New York time. During this period, volume and volatility enter the market. Traders using higher timeframes may use this period to enter or exit positions by placing MOC (Market on Close) orders.
This tool works under the hypothesis that prices made during power hours (periods with high trading activity) are more relevant when used for the construction of trendlines.
An initial trendline is fit using linear regression; prices from power hours located above this initial fit are used for the upper trendline, while the ones below the fit are used for the lower one.
As with any trendline, traders can analyze the slope to determine the market's direction:
Positive slope: The market is trending up.
Negative slope: The market is trending down.
No slope: The market is trending sideways.
As we can see in the image, Nasdaq and Bitcoin are clearly in downtrends, gold is clearly in an uptrend, and the euro/U.S. dollar is in a sideways market over the last visible sessions.
As you can see, the trend lines may or may not be parallel to each other. The wider the area, the more volatile the data. The narrower the area, the less volatile the data. Let's look at an example.
In the image, the Dow30 and the euro/U.S. dollar have opposite behaviors. The volatility above the middle trendline is growing in the first case but shrinking in the second. In both cases, the volatility in the bottom area seems steady, so there are no big surprises there.
Traders can adjust the number of sessions for calculations, making the tool ideal for analyzing price behavior over different time frames.
As the image shows, we can clearly see how the market behaves over different time periods. XLY has been moving down over the last 10, 20, and 40 sessions, with a steeper decline over shorter periods. However, it has been moving sideways over the last 70 sessions.
One of the main uses of trendlines is to provide key support and resistance. In the image, SPY is shown with trendlines over the last 20 sessions. These lines provide excellent reference points for trading and observing price behavior in those areas, such as whether prices are accepted or rejected, which may trigger a response from other traders.
🔹 Not Allowed Timeframes
For obvious reasons, timeframes larger than 1H are not allowed. The Power Hour is defined as the last hour of the trading session. The tool will display a warning message if the timeframe is longer than 60 minutes.
🔶 SETTINGS
Power Hour (NY Time): Choose a custom Power Hour in New York time
Sessions Memory: Select how many Power Hours to take into account for calculations.
🔹 Style
Top: Enable or disable the top line and choose the line and background colors.
Middle: Enable or disable the middle line and choose the line color.
Bottom: Enable or disable the bottom line and choose the line and background colors.
Background: Enable or disable the background color for top and bottom lines.
Bloomberg Mega Board [v2.5 Fixed]Transform your TradingView chart into a professional-grade command center. Designed for traders who need high-level market awareness without switching tabs, this dashboard provides deep, multi-timeframe analysis across US Sectors, Commodities, Currencies, and Crypto.
Key Features
1. Multi-Asset Paging System Pine Script has a limit of 40 security calls, which usually limits how much data you can see. This script bypasses that limitation using a smart Paging System:
Sectors Page: Tracks the top 10 US Sectors (SPY, XLK, XLF, etc.) & Indices.
Commodities Page: Gold, Silver, Oil, Gas, Copper, Corn, etc.
Currencies Page: Major Forex pairs including DXY, EURUSD, USDJPY.
Crypto Page: Top 10 Cryptocurrencies by volume.
Switch pages instantly via the Settings menu.
2. Smart "News" Headlines Since Pine Script cannot access the live internet for news, this script uses an Algorithmic Headline Generator. It analyzes price action and trend alignment to generate a "Market Status" summary:
Full Bull Trend: Intraday + Daily + Weekly trends are all positive.
Strong Rally: Asset is up significantly (>1.25%) on the day.
Heavy Sell-off: Asset is down significantly (<-1.25%) on the day.
Pullback (Buy?): Daily trend is UP, but Intraday is DOWN (potential entry).
Consolidating: Market is chopping sideways.
3. Timeframe Trend Matrix Monitor momentum across the curve with a single glance. The "Trend" columns are powered by the 5 EMA (Exponential Moving Average):
Intraday: Adapts to your current chart timeframe (e.g., switch your chart to 15m to see the 15m trend).
Daily / Weekly / Monthly: These are hard coded to always show the higher timeframe trend, regardless of what chart you are looking at. Trend is determined by price in relation to it's 5 EMA.
4. "Terminal" Aesthetic
Styled with a dark, high-contrast Bloomberg Terminal look.
Uses Amber tickers and Neon status blocks for rapid visual scanning.
Optimized for Full Screen Mode: Hide your main chart candles to turn your monitor into a dedicated data dashboard.
How to Use
Add the indicator to your chart and move it to "New Lower Indicator" Then repeat 4 times for each dashboard.
Open Settings (the gear icon) and find "Select Page".
Choose your desired market view (e.g., Sectors, Crypto, Currencies, Commodities)
Optional: To replicate the full dashboard look, go to your Chart Settings -> Symbol -> Uncheck "Body" and "Borders" to hide the candles behind the table.
2 hours ago
Release Notes
Transform your TradingView chart into a professional-grade command center. Designed for traders who need high-level market awareness without switching tabs, this dashboard provides deep, multi-timeframe analysis across US Sectors, Commodities, Currencies, and Crypto.
Key Features
1. Multi-Asset Paging System Pine Script has a limit of 40 security calls, which usually limits how much data you can see. This script bypasses that limitation using a smart Paging System:
Sectors Page: Tracks the top 10 US Sectors (SPY, XLK, XLF, etc.) & Indices.
Commodities Page: Gold, Silver, Oil, Gas, Copper, Corn, etc.
Currencies Page: Major Forex pairs including DXY, EURUSD, USDJPY.
Crypto Page: Top 10 Cryptocurrencies by volume.
Switch pages instantly via the Settings menu.
2. Smart "News" Headlines Since Pine Script cannot access the live internet for news, this script uses an Algorithmic Headline Generator. It analyzes price action and trend alignment to generate a "Market Status" summary:
Full Bull Trend: Intraday + Daily + Weekly trends are all positive.
Strong Rally: Asset is up significantly (>1.25%) on the day.
Heavy Sell-off: Asset is down significantly (<-1.25%) on the day.
Pullback (Buy?): Daily trend is UP, but Intraday is DOWN (potential entry).
Consolidating: Market is chopping sideways.
3. Timeframe Trend Matrix Monitor momentum across the curve with a single glance. The "Trend" columns are powered by the 5 EMA (Exponential Moving Average):
Intraday: Adapts to your current chart timeframe (e.g., switch your chart to 15m to see the 15m trend).
Daily / Weekly / Monthly: These are hard coded to always show the higher timeframe trend, regardless of what chart you are looking at. Trend is determined by price in relation to it's 5 EMA.
4. "Terminal" Aesthetic
Styled with a dark, high-contrast Bloomberg Terminal look.
Uses Amber tickers and Neon status blocks for rapid visual scanning.
Optimized for Full Screen Mode: Hide your main chart candles to turn your monitor into a dedicated data dashboard.
How to Use
Add the indicator to your chart and move it to "New Lower Indicator" Then repeat 4 times for each dashboard.
Open Settings (the gear icon) and find "Select Page".
Choose your desired market view (e.g., Sectors, Crypto, Currencies, Commodities)
Optional: To replicate the full dashboard look, go to your Chart Settings -> Symbol -> Uncheck "Body" and "Borders" to hide the candles behind the table.
2 hours ago
Release Notes
Transform your TradingView chart into a professional-grade command center. Designed for traders who need high-level market awareness without switching tabs, this dashboard provides deep, multi-timeframe analysis across US Sectors, Commodities, Currencies, and Crypto.
Key Features
1. Multi-Asset Paging System Pine Script has a limit of 40 security calls, which usually limits how much data you can see. This script bypasses that limitation using a smart Paging System:
Sectors Page: Tracks the top 10 US Sectors (SPY, XLK, XLF, etc.) & Indices.
Commodities Page: Gold, Silver, Oil, Gas, Copper, Corn, etc.
Currencies Page: Major Forex pairs including DXY, EURUSD, USDJPY.
Crypto Page: Top 10 Cryptocurrencies by volume.
Switch pages instantly via the Settings menu.
2. Smart "News" Headlines Since Pine Script cannot access the live internet for news, this script uses an Algorithmic Headline Generator. It analyzes price action and trend alignment to generate a "Market Status" summary:
Full Bull Trend: Intraday + Daily + Weekly trends are all positive.
Strong Rally: Asset is up significantly (>1.25%) on the day.
Heavy Sell-off: Asset is down significantly (<-1.25%) on the day.
Pullback (Buy?): Daily trend is UP, but Intraday is DOWN (potential entry).
Consolidating: Market is chopping sideways.
3. Timeframe Trend Matrix Monitor momentum across the curve with a single glance. The "Trend" columns are powered by the 5 EMA (Exponential Moving Average):
Intraday: Adapts to your current chart timeframe (e.g., switch your chart to 15m to see the 15m trend).
Daily / Weekly / Monthly: These are hard coded to always show the higher timeframe trend, regardless of what chart you are looking at. Trend is determined by price in relation to it's 5 EMA.
4. "Terminal" Aesthetic
Styled with a dark, high-contrast Bloomberg Terminal look.
Uses Amber tickers and Neon status blocks for rapid visual scanning.
Optimized for Full Screen Mode: Hide your main chart candles to turn your monitor into a dedicated data dashboard.
How to Use
Add the indicator to your chart and move it to "New Lower Indicator" Then repeat 4 times for each dashboard.
Open Settings (the gear icon) and find "Select Page".
Choose your desired market view (e.g., Sectors, Crypto, Currencies, Commodities)
Optional: To replicate the full dashboard look, go to your Chart Settings -> Symbol -> Uncheck "Body" and "Borders" to hide the candles behind the table.
2 hours ago
Release Notes
Transform your TradingView chart into a professional-grade command center. Designed for traders who need high-level market awareness without switching tabs, this dashboard provides deep, multi-timeframe analysis across US Sectors, Commodities, Currencies, and Crypto.
Key Features
1. Multi-Asset Paging System Pine Script has a limit of 40 security calls, which usually limits how much data you can see. This script bypasses that limitation using a smart Paging System:
Sectors Page: Tracks the top 10 US Sectors (SPY, XLK, XLF, etc.) & Indices.
Commodities Page: Gold, Silver, Oil, Gas, Copper, Corn, etc.
Currencies Page: Major Forex pairs including DXY, EURUSD, USDJPY.
Crypto Page: Top 10 Cryptocurrencies by volume.
Switch pages instantly via the Settings menu.
2. Smart "News" Headlines Since Pine Script cannot access the live internet for news, this script uses an Algorithmic Headline Generator. It analyzes price action and trend alignment to generate a "Market Status" summary:
Full Bull Trend: Intraday + Daily + Weekly trends are all positive.
Strong Rally: Asset is up significantly (>1.25%) on the day.
Heavy Sell-off: Asset is down significantly (<-1.25%) on the day.
Pullback (Buy?): Daily trend is UP, but Intraday is DOWN (potential entry).
Consolidating: Market is chopping sideways.
3. Timeframe Trend Matrix Monitor momentum across the curve with a single glance. The "Trend" columns are powered by the 5 EMA (Exponential Moving Average):
Intraday: Adapts to your current chart timeframe (e.g., switch your chart to 15m to see the 15m trend).
Daily / Weekly / Monthly: These are hard coded to always show the higher timeframe trend, regardless of what chart you are looking at. Trend is determined by price in relation to it's 5 EMA.
4. "Terminal" Aesthetic
Styled with a dark, high-contrast Bloomberg Terminal look.
Uses Amber tickers and Neon status blocks for rapid visual scanning.
Optimized for Full Screen Mode: Hide your main chart candles to turn your monitor into a dedicated data dashboard.
How to Use
Add the indicator to your chart and move it to "New Lower Indicator" Then repeat 4 times for each dashboard.
Open Settings (the gear icon) and find "Select Page".
Choose your desired market view (e.g., Sectors, Crypto, Currencies, Commodities)
Optional: To replicate the full dashboard look, go to your Chart Settings -> Symbol -> Uncheck "Body" and "Borders" to hide the candles behind the table.
Trading Sessions + IB [midst]What It Does
Displays the three major global trading sessions (Asia, London, New York) with Initial Balance (IB) ranges and extension levels. Automatically detects instrument type (ES, NQ, Gold, Silver) and applies correct IB period.
Key Features
Session Boxes: Visual high-to-low range for each session
Initial Balance: First 60 minutes of session range with IB high/mid/low lines
IB Extensions: Automatic calculation of +/-25%, 50%, 100% levels
Live IB Tracker: Real-time statistics table showing IB range, analysis, and market structure
Fully Customizable: Colors, line styles, labels, and display options
Why Use This
Identify key support/resistance levels based on session structure
Track IB breakouts for high-probability trade setups
Use extensions as profit targets or reversal zones
Compare session ranges to gauge volatility
Spot session overlaps for increased liquidity
Default Times (Chicago/Central Time)
Asia: 5:00 PM - 2:00 AM
London: 2:00 AM - 11:00 AM
New York: 7:30 AM - 4:00 PM
How To Use
Add indicator to your chart (works best on 5-15 minute timeframes)
Indicator auto-detects ES, NQ, GC, SI and applies correct 60-minute IB
Watch for price action at IB levels and extensions
Use IB Tracker table for real-time market analysis
Customization
Adjust everything: session times, IB period, colors, line styles, labels, table position. Toggle historical sessions, IB boxes, lines, extensions, and more.
Supported Instruments: ES/MES, NQ/MNQ, GC/MGC (Gold), SI (Silver) - auto-detection included
QuantLabs Mega Multi-Asset DashboardTransform your TradingView chart into a professional-grade command center. Designed for traders who need high-level market awareness without switching tabs, this dashboard provides deep, multi-timeframe analysis across US Sectors, Commodities, Currencies, and Crypto.
Key Features
1. Multi-Asset Paging System Pine Script has a limit of 40 security calls, which usually limits how much data you can see. This script bypasses that limitation using a smart Paging System:
Sectors Page: Tracks the top 10 US Sectors (SPY, XLK, XLF, etc.) & Indices.
Commodities Page: Gold, Silver, Oil, Gas, Copper, Corn, etc.
Currencies Page: Major Forex pairs including DXY, EURUSD, USDJPY.
Crypto Page: Top 10 Cryptocurrencies by volume.
Switch pages instantly via the Settings menu.
2. Smart "News" Headlines Since Pine Script cannot access the live internet for news, this script uses an Algorithmic Headline Generator. It analyzes price action and trend alignment to generate a "Market Status" summary:
Full Bull Trend: Intraday + Daily + Weekly trends are all positive.
Strong Rally: Asset is up significantly (>1.25%) on the day.
Heavy Sell-off: Asset is down significantly (<-1.25%) on the day.
Pullback (Buy?): Daily trend is UP, but Intraday is DOWN (potential entry).
Consolidating: Market is chopping sideways.
3. Timeframe Trend Matrix Monitor momentum across the curve with a single glance. The "Trend" columns are powered by the 5 EMA (Exponential Moving Average):
Intraday: Adapts to your current chart timeframe (e.g., switch your chart to 15m to see the 15m trend).
Daily / Weekly / Monthly: These are hard coded to always show the higher timeframe trend, regardless of what chart you are looking at. Trend is determined by price in relation to it's 5 EMA.
4. "Terminal" Aesthetic
Styled with a dark, high-contrast Bloomberg Terminal look.
Uses Amber tickers and Neon status blocks for rapid visual scanning.
Optimized for Full Screen Mode: Hide your main chart candles to turn your monitor into a dedicated data dashboard.
How to Use
Add the indicator to your chart and move it to "New Lower Indicator" Then repeat 4 times for each dashboard.
Open Settings (the gear icon) and find "Select Page".
Choose your desired market view (e.g., Sectors, Crypto, Currencies, Commodities)
Optional: To replicate the full dashboard look, go to your Chart Settings -> Symbol -> Uncheck "Body" and "Borders" to hide the candles behind the table.
Mashrab | Momentum X-RayStop guessing if a stock is strong or weak. The Momentum X-Ray is a professional Heads-Up Display (HUD) that tells you the truth about a stock in seconds.
Most indicators just look at price. This dashboard looks at the Context:
Relative Strength (The "King of the Hill" Check):
It doesn't just compare stocks to the S&P 500.
It automatically detects the stock's specific industry (e.g., Semiconductors, Regional Banks, Gold Miners) and compares it against its actual peers.
Green = The stock is a Leader (Beating its sector).
Red = The stock is a Laggard (Losing to its sector).
Fundamental Health (The "Engine" Check):
Instantly see Revenue Growth (QoQ and YoY) and Net Profit Margins.
Filters out "junk" stocks that are moving up on hype but have no real business growth.
Volatility Scanner:
Calculates the ADR (Average Daily Range) to help you size your positions correctly.
How to Read the Signals:
Top Table (Momentum): Look for Double Green. If a stock is beating the SPY and its Sector, it is an "Alpha Leader."
Bottom Table (Context): Check the "Industry" row to see exactly which ETF the script is using for comparison (e.g., SMH for Chips, KRE for Banks).
Trade with TreandThink of this script as a filter and a signal light for trading Gold. It helps you avoid trading in the wrong direction and tells you exactly when the price momentum is shifting.
The Three Main Parts
The Ultimate Trend (The Filter):
This is the big table in the top-right corner.
Bullish (Green): Only look for BUY signals.
Bearish (Red): Only look for SELL signals.
It uses a "300 SMA" (a long-term average) to make sure you aren't "swimming against the tide."
The Entry Signals (The Crossover):
The script watches two lines on your chart (a 20-period and a 10-period).
When they cross, it places a BUY or SELL label on your screen.
The 4 Alerts (The Notifications):
You don't have to stare at the screen all day.
You get a notification for Buy entries, Sell entries, or when the Main Trend flips from Bullish to Bearish (or vice versa).
Simple Rules for Trading
To be successful with this script, follow these four rules:
Rule 1: Check the Table. If it says "Bearish," ignore all "BUY" labels.
Rule 2: Wait for the Label. Only enter a trade when a "BUY" or "SELL" label appears and it matches the trend table.
Rule 3: Protect Your Money. Look at the last 5 candles. Put your Stop Loss just past the highest or lowest point of those candles.
Rule 4: Aim for the Target. Your profit target should be at least double the amount of money you are risking (Risk:Reward 1:2).
How to use the Settings
When you click the Settings icon on the script, you can change:
SMA Filter: Change the "300" if you want the trend to be faster or slower.
Trend Gap: Adjust how far the trailing line stays away from the price.
FX Master Confluence v41 (Smart TDI Filter)How to read your new Dashboard:
Top Row (The Boss): This is your 8-Hour WaveTrend status.
DARK GREEN: Strong Bull (Bias is Up & Above Zero). Aggressively look for buys.
LIGHT GREEN: Weak Bull (Bias is Up but Below Zero). Be cautious, could be a deep pullback.
DARK RED: Strong Bear (Bias is Down & Below Zero). Aggressively look for sells.
LTF Rows (15m - 6h):
"GOLDEN ZERO": This is the Holy Grail signal you asked for. The LTF WaveTrend just crossed the Zero line in agreement with the 8H Boss.
"REV SETUP": Standard reversal signal (useful, but lower confidence than Golden).
"TREND UP/DOWN": No signal right now, but tells you the flow of that specific timeframe.
THE ELVINATORTHE ELVINATOR is my trend-following momentum indicator built on the 20 EMA, 50 EMA, and 200 EMA, designed for trading **XAUUSD during the New York session (9:30–17:00 NY time), Monday through Friday**.
**How to trade it:**
* **Trend filter:** Only take **longs above the 200 EMA** and **shorts below the 200 EMA**. This keeps trades aligned with Gold’s dominant direction.
* **Long setups:** A **20 EMA cross above the 50 EMA** signals bullish momentum. Best entries come after a pullback into the 20–50 EMA zone followed by strong continuation candles.
* **Short setups:** A **20 EMA cross below the 50 EMA** signals bearish momentum. Look for pullbacks into the EMA zone and rejection before continuation lower.
* **Timing:** Focus on NY open and high-volume moves. Avoid choppy conditions and late-session exhaustion.
* **Risk & exits:** Place stops beyond recent swings or EMA structure. Targets can be prior highs/lows or scaled with trend continuation.
THE ELVINATOR is built for **structure, patience, and disciplined execution**, allowing traders to capitalize on Gold’s volatility without chasing noise.
Nifty Banknifty Option Buying Algo Compatible by VJhaSpecially meant for Indian market Option buying capitalising on morning momentum through algo trading. Works best on 1 min timeframe. Key highlights are:
(1) In setting set timing of your session preferably 09:15 to 11:30, entry only during this duration, running trade forced closed at end of set session.
(2) Choose fresh or continuation: if continuation is chosen, if yesterday's condition prevails during open entry will be made. If fresh is chosen, entry will be made only if fresh set up is formed
(3) You can set this indicator either on index or directly on call or put. If set on Index then buy means buy for call, sell means exit of call. Sell means buy entry for Put and buy means exit for put. However, if directly on call or put, it is straight.
(4) Choice of pivot bar number as 1 gives more trades with smaller profit. Choice of 2 lesser trades with running profit.
In fact you can use on any instrument Cash, Future, Option , Gold etc with intelligence. In Indian Option Buying deploy this from 9:15 to 11;15 am, on ordinary day, and whole day on trending
Bar Countdown ClockBar Countdown Clock
Description:
Displays the remaining time for the current bar on the chart. The countdown label follows the previous EMA5 price to stay stable during high-volatility markets. Font size and label position are fully customizable. Works well on BTC, Gold, Forex, and other trading instruments.
How to Use:
Add the indicator to your chart.
Adjust Clock Color, Font Size, and X Offset to suit your preference.
The label will automatically track the previous EMA5 price.
The countdown updates in real-time until the current bar closes.
Tips:
Increase X Offset if the label overlaps the current bar.
For high-volatility instruments, the label remains stable by following EMA5.
EMA Length can be adjusted to change the anchor point for the label.
Ultimate Lines Statistical Backtest @MaxMaseratiUltimate lines (MAs/MACD/VWAP,DWA etc..) Statistical Backtest
This is a comprehensive statistical backtesting tool that allows traders to objectively measure the performance of 27+ different trading lines across multiple timeframes and sessions. Instead of guessing which moving averages, VWAPs, or volume levels actually work for your trading style, this indicator provides hard data showing exactly how price behaves around each line at specific times of day.
The indicator solves a critical problem: most lines create whipsaws in choppy markets, but knowing which lines have the highest continuation rates vs reversal rates at specific session times helps you avoid false signals and focus on setups with proven statistical edges.
🎯 LINES YOU CAN TEST
MMM Core Lines:
Mid MA: Trend velocity tracker using simple moving average
MMPD Line: Premium/Discount change-of-direction indicator
Fair Value Golden Ratio: 0.618 equilibrium level between premium and discount zones
Volume-Based Lines:
VWAP Daily/Weekly: Volume-weighted average price (daily and weekly sessions)
Volume POC Multi-TF: Multi-timeframe Point of Control (highest volume price level)
Volume POC Weekly: Weekly momentum pivot based on volume distribution
Range Midpoints:
Range Midpoint 50: 50-period high/low midpoint
Range Midpoint 14 TF1/TF2: Configurable timeframe range midpoints with smoothing options
Moving Averages (10 MA Types):
MACD Fast (12) / Signal (26): Standard MACD moving averages
Fast MA 20 / Mid MA 50 / Slow MA 200: Classic trend-following averages
Available MA Types: SMA, EMA, WMA, HMA, DEMA, TEMA, LSMA, KAMA, ALMA, VWMA
Volatility Indicators:
MVM Upper/Lower Bands: Momentum-based volatility bands with adaptive option
HVC Bullish/Bearish: High Volume Candle support/resistance levels
Ultimate Suite Advanced Lines:
DWAP (Delta Weighted Average Price): Directional volume-weighted price with upper/lower bands
HVN (High Volume Node): High-frequency trading node detection
Hybrid Line: Volume-weighted momentum composite
Trend Filter: Two-pole smoothing filter for trend clarity
STL Lines:
iBuSTL / iBeSTL: Internal Bullish/Bearish Structural Trend Liquidity levels
⚙️ HOW TO TEST
Select Lines: Check the boxes for lines you want to analyze (Mid MA, VWAP Daily, Volume POC, etc.)
Choose Times: Enable tracking for specific session times (default: 8:30 AM, 9:30 AM, 10:00 AM, Daily Close - EST)
Set Lookback: Choose how many days of historical data to analyze (default: 60 days)
Enable Pattern Analysis: Turn on "Enable Pattern Analysis" in settings
Wait for Data: The indicator needs 20 bars after each signal time to complete analysis
Review Statistics: Check the statistics table for detailed breakdowns
📈 STATISTICS EXPLAINED
For Each Tracked Time, You'll See:
🟢 Above Selected Lines (X samples):
Continued↑: Price stayed above the lines = bullish continuation
Reversed↓: Price broke below the lines = reversal/rejection
→Kept Going↓: After reversing down, price continued lower (bars 11-20)
→Stalled: After reversing down, price came back up (consolidation)
Neutral: Price didn't make a clear move either way
🔴 Below Selected Lines (X samples):
Continued↓: Price stayed below the lines = bearish continuation
Reversed↑: Price broke above the lines = reversal/support bounce
→Kept Going↑: After reversing up, price continued higher (bars 11-20)
→Stalled: After reversing up, price came back down (consolidation)
Neutral: No clear directional move
⭐ Star Ratings: Show which outcome happens most frequently (best probability)
🔬 HYBRID DETECTION SYSTEM (ADVANCED)
When enabled, the indicator uses a multi-signal composite scoring system that goes beyond simple percentage movements:
Signal A - % Movement Direction (40% weight):
Measures the strength and direction of price movement. Strong directional moves (>0.8%) score higher, while opposite-direction moves score negatively.
Signal B - Inside Candles (30% weight):
Detects true consolidation by counting how many candles close within a defined range. High inside-candle counts indicate choppy, stalled price action rather than clean continuation.
Signal C - Successive Closes (30% weight):
Tracks momentum persistence by counting consecutive closes in the expected direction. Long streaks (6+ bars) indicate strong follow-through, while breaks in the sequence suggest weakness.
Composite Score Classification:
⭐⭐⭐ Strong (75-100 points): All three signals align - high-confidence pattern
⭐⭐ Moderate (50-75 points): Two signals agree - reliable pattern
⭐ Weak (25-50 points): Mixed signals - lower confidence
⚠️ Strong Stalled (0-25 points): Signals show consolidation/reversal
This provides nuanced pattern detection that identifies not just IF a pattern succeeded, but HOW STRONGLY it performed.
💡 INTERPRETING RESULTS
Good Lines Show:
High continuation % when price is above/below (>60% is strong)
Clean "Kept Going" patterns after reversals (>50% indicates reliable rejection)
Low stalled % (less whipsaw/consolidation)
Consistent patterns across multiple times (validates the line's reliability)
Poor Lines Show:
50/50 continuation vs reversal (coin flip = no edge)
High stalled % (lots of whipsaw/false signals)
Inconsistent patterns across different times (unreliable)
Example Interpretation:
9:30 AM - VWAP Daily (120 samples)
🟢 Above:
Continued↑ 75 (62.5%) ⭐ BEST
Reversed↓ 30 (25.0%)
Meaning: When price is above VWAP Daily at 9:30 AM, it continues higher 62.5% of the time - this is a statistically strong bullish signal for that session time.
🎯 PRACTICAL VALUE
Solves the Whipsaw Problem:
Most moving averages and lines work beautifully in trending markets but create endless false signals in choppy, range-bound conditions. By analyzing specific session times and continuation vs reversal patterns, you can:
Identify high-probability setups: Focus on lines that show >60% continuation at your preferred trading times
Avoid weak signals: Skip lines with high stall rates or 50/50 outcomes
Time your entries better: Know which session times produce the cleanest patterns
Combine complementary lines: Stack multiple high-scoring lines for confluence
Adapt to market conditions: Switch to different lines when market structure changes
Real-World Application:
Instead of blindly trading VWAP crosses or MA bounces, you'll have objective data showing: "At 9:30 AM on ES, when price is above Mid MA + VWAP Daily + Volume POC, it continues higher 68% of the time with strong momentum (⭐⭐⭐)." This transforms discretionary guesswork into data-driven decision making.
⚙️ LINE DEFINITIONS
Moving Averages: Smooth price data over X periods to identify trend direction and dynamic support/resistance.
VWAP: Anchored average price weighted by volume - institutional traders' benchmark for "fair value."
Volume POC (Point of Control): Price level with the most traded volume - represents maximum market acceptance.
Fair Value Golden Ratio: Fibonacci 0.618 level between recent premium (high) and discount (low) - equilibrium zone.
DWAP (Delta Weighted): Price average weighted by buying vs selling volume delta - shows directional money flow.
Range Midpoints: Geometric center of recent high/low range - mean reversion pivot.
Volatility Bands: Envelope around momentum lines showing normal price deviation ranges.
HVN (High Volume Node): Automated detection of high-volume price clusters - institutional accumulation/distribution zones.
Note: This indicator is purely for statistical analysis and backtesting. It does not generate trade signals or provide entry/exit recommendations. Use the statistics to inform your own trading decisions and strategy development.
BTC - DCA vs HODL Calculator MatrixBTC - DCA vs. HODL Calculator Matrix | RM
Overview
The BTC - DCA vs. HODL Calculator Matrix is a high-performance telemetry laboratory designed to settle the ultimate debate in Bitcoin accumulation: Is it more efficient to deploy all capital at once ( Lump Sum & HODL ) or utilize a recurring purchase strategy ( DCA )? More importantly, if DCA is the choice, which exact frequency and weekday provides the mathematical edge?
The Calculator Matrix was engineered to solve a critical limitation in the current script ecosystem (at least I couldnt find such an indicator): the inability to compare multiple DCA frequencies and specific calendar days simultaneously within a single dashboard. While developing this tool, I found that existing calculators typically only permit testing one strategy at a time (e.g., a generic "Weekly" buy). This script fills that gap by utilizing a high-performance array-based "Telemetry Engine" to rank dozens of variables—including every individual weekday and specific monthly dates—against a HODL benchmark in real-time. This unique simultaneous comparison allows investors to mathematically identify "Weekday Alpha" across any user-defined timeframe.
Core Philosophy
The script utilizes a Normalized Capital Model . To ensure a true "apples-to-apples" comparison, your total capital (e.g., $10,000) is distributed with mathematical precision across the exact number of entries for each specific strategy. This eliminates the ROI skewing commonly found in basic scripts, ensuring that every strategy is judged on the same total dollar expenditure over the same "Race Track."
Key Features & Analytics
• The Podium System: An automated ranking algorithm that awards 🥇 Gold, 🥈 Silver, and 🥉 Bronze medals to the top three performing strategies. Spoiler: Regular Winner: 1-time HODL (Lump Sum)
• Simultaneous Strategy Testing: Compare Daily, 7 different Weekly days (Mon-Sun), and Monthly dates (1st–28th) all at once.
• Risk Telemetry: Integrated Max Drawdown (MDD) sensors for every strategy, revealing the "Emotional Cost" of your accumulation path.
• Race Track Visuals: Blue dashed "Green Flag" and "Checkered Flag" lines visually define the boundaries of your backtest.
• Dashboard Customization: Use the "Odd/Even" filter to keep the matrix sleek and readable on (nearly) any screen resolution.
The Strategies Tested
• 1-TIME HODL: The benchmark (Lump sum entry on Day 1 - meaning all the capital is deployed at the start date).
• DAILY DCA: High-frequency, day-by-day accumulation (the capital is split amongst the different entries).
• WEEKLY (SUN-SAT): Evaluates which specific day of the week historically captures the best entries (e.g., "Weekend Dips").(The capital is split amongst the different entries).
• MONTHLY (1-28 + END): Tests monthly date performance to optimize for beginning-of-month or end-of-month cycles. (The capital is split amongst the different entries).
Monte Carlo Simulation & Python Research
While this tool allows you to manually check any specific timeframe, manual testing is limited by "Start Date Bias." To find the Universal Winner , I have conducted a Monte Carlo Simulation using 100 random entry dates over the last 5 years via Python/Colab. This research reveals the statistical probability of a day (like Saturday) winning the Gold medal across all market conditions.
Access the Python Heatmap Research in my substack article (link for substack in Bio).
How to Use
1. Set the Race Track: Input Start and End dates in the settings.
2. Fuel the Engine: Set your Total Capital ($).
3. Analyze the Matrix: Compare ROI vs. MAX DD. The goal is not just the highest return, but the best Risk-Adjusted return.
Technical Implementation
This script utilizes an array-based telemetry engine to handle the simultaneous calculation of 30+ independent investment strategies. To ensure computational efficiency and bypass the limitations of standard security-based backtesting, I implemented a custom-built accumulator logic using array.new_float() and array.set() . The core calculation loop ( if in_race and is_new_day ) processes capital deployment on a per-bar basis, utilizing ta.change(time("D")) to ensure entry synchronization with the Daily UTC close. By decoupling the unit accumulation ( u_weekly , u_monthly ) from the final valuation logic ( f_get_stats ), the script maintains a Normalized Capital Model. This ensures that even with complex comparative logic across varying frequencies, the script provides a mathematically rigorous, reproducible result that matches real-world execution at the Daily UTC Midnight close.
Note: All calculations are made on the "close" bar, which means UTC 00:00. By creating a strategy or using the research, make sure to be aware of your time zone
Disclaimer: Past performance is not indicative of future results. This tool is for educational and research purposes only. Rob Maths is not liable for any financial losses.
Tags:
robmaths, Rob Maths, DCA, HODL, Bitcoin, BTC, Backtest, RiskManagement, Investment, Strategy, Statistics
Time-Based Level & Watermark [PTN.Trades]Hello NTA Bros. Let's test my script! Hello Hello TDV said my description is too brief. I have to write something more!
## 3 Ways to Cook Crispy, Fluffy, and Delicious Omelettes Without the Grease
Calling all **Egg Lovers**! Today, we’re diving into the "Omelette"—a dish that seems simple but is packed with secret techniques. Everyone has their own signature style, and today, Maggi is sharing 3 different ways to fry an omelette. Whether you’re craving that **extra crispy and fluffy** version you find at restaurants, a **healthy, low-oil** version that isn't greasy, or a **thick and soft** omelette for a full, satisfying bite—we’ve got you covered!
---
### 1. How to Fry a Crispy Omelette
**Ingredients:**
1. 1 tsp Maggi Cooking Sauce
2. Cooking oil (about half a pan deep)
**Instructions:**
1. Pour oil into the pan and heat until hot. Crack the eggs, season, and beat well.
2. Once the oil is boiling, pour the egg mixture through a **strainer** into the pan to create a fluffy texture. When the egg turns golden brown, flip it over. Fry until cooked through and serve.
**Pro-Tips for Crispiness:**
* Don't over-beat the eggs until they are too bubbly, or they will flow through the strainer too slowly.
* Wait for the oil to get hot, then reduce to medium heat for about 10 seconds before testing a small amount of egg through the strainer. If it fluffs up beautifully, pour the rest through the strainer across the pan.
* If using an **electric stove**, use the highest heat. Once the oil is hot, test with a little egg. If it fluffs up, pour the rest in without reducing the heat.
* Pouring through a strainer creates small "strands" of egg that fluff up instantly when hitting the hot oil.
---
### 2. The Healthy Version: Low-Oil Omelette
**Ingredients:**
1. 2 Eggs
2. 1 tsp Maggi Cooking Sauce
3. A small amount of oil
**Instructions:**
1. Crack the eggs, season, and beat well. Heat the pan first, then add a little vegetable oil.
2. Pour the egg into the pan. Once golden brown, flip to the other side and serve.
**Pro-Tips for Low-Oil:**
* **Heating the pan before adding oil** prevents the egg from sticking, which is crucial since we are using very little oil.
* When you pour the egg in, use the edge of your spatula to stir the center quickly. This helps the egg cook faster, makes it easier to flip, and results in a thicker, softer texture.
---
### 3. How to Make a Thick and Soft Omelette
**Ingredients:**
1. 4 Eggs
2. 2 tsp Maggi Cooking Sauce
3. Cooking oil
**Instructions:**
1. Crack the eggs, season, and beat well. Pour about 3 tbsp of oil into a **pot**. You don't need to wait for the oil to be extremely hot.
2. Pour the egg in and use a fork to stir the center quickly (similar to making scrambled eggs). This helps the egg set fast without spreading too much. Use medium-low heat (or medium heat for electric stoves).
3. Once the egg starts to set, tilt the pot slightly and use a spatula to flip the egg. Add a tiny bit more oil, increase the heat, and wait for a beautiful color. Flip again and use high heat briefly to "push out" any excess oil. Remove, drain the oil, and serve.
**Pro-Tips for a Thick & Soft Texture:**
* **Frying in a pot** forces the egg to stay thick and shapely. Choose a small pot to make the omelette look taller and fluffier.
* Stirring quickly with a fork helps the egg cook and bind together faster, making it much easier to flip.
* Using medium-low heat ensures the egg doesn't burn before the thick center is fully cooked.
---
So, what do you think? With these 3 different methods, you can choose the style that fits your mood—whether it’s crispy, thick, or healthy. You can easily make these at home and ensure every bite is perfectly seasoned and delicious with **Maggi Cooking Sauce**.
---
**Would you like me to adjust the tone to be more formal, or perhaps help you write a catchy title for social media?**
TGS By ShadTGS Levels — Tesla–W.D. Gann Strategy
TGS Levels is a price-geometry indicator designed to map algorithmic decision zones on the chart using principles inspired by W.D. Gann price geometry and Tesla 3-6-9 harmonic structure.
This indicator is not a signal generator.
It provides a structured price map to help traders understand where reactions or breakouts are statistically more likely to occur.
🔹 Core Concept
Markets do not move randomly.
They rotate and expand around harmonic price cycles.
TGS Levels automatically plots a 100-unit price cycle framework (ideal for XAUUSD / Gold) and divides each cycle into hierarchical angles used by institutional and algorithmic trading models.
🔹 Level Hierarchy (Very Important)
TGS uses four types of levels, each with a different purpose:
🔴 SUPER ANGLE (+45)
Primary decision level
Price often shows strong rejection or explosive breakout
Highest importance level
🟥 MAIN ANGLES (+27, +63, +81)
High-probability reaction zones
Used for structured pullbacks, rejections, or continuation confirmation
🟠 SECONDARY ANGLES (+18, +36, +54, +72, +90)
Context & management levels
Expect hesitation, partial profit zones, or stop-tightening areas
Not recommended for direct entries
🟡 MICRO LEVELS (+3, +6, +9)
Liquidity & compression map
Help visualize absorption, stop hunts, and consolidation
For structure awareness only
🔹 What This Indicator Is Used For
✔ Identifying where price is likely to react
✔ Understanding market structure and rotation
✔ Distinguishing rejection vs breakout zones
✔ Improving trade timing when combined with:
Volatility (ATR)
Market structure (HL / LH / BOS)
Session timing (London / New York)
🔹 What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not a prediction tool
❌ Not based on indicators like RSI or MACD
TGS Levels is a price-first framework, designed to be used with price action, volatility, and structure.
🔹 Best Use Case
Asset: XAUUSD (Gold)
Execution Timeframe: M5
Sessions: London & New York
Style: Scalping / Intraday structure trading
The same logic can be adapted to other instruments by adjusting the cycle size.
🔹 How to Trade With TGS (High-Level)
When volatility is low or falling → expect rejections at main/super angles
When volatility is expanding → expect breakouts through angles
Use oscillators (like Stochastic) only for timing, not direction
Always confirm with price behavior at the level
🔹 Final Note
TGS Levels provides a clean, non-repainting price map that stays aligned when zooming or scrolling the chart.
All levels are calculated automatically and update dynamically with price.
Levels explain behavior — reactions create opportunity.
TGS By ShadTGS Levels — Tesla–W.D. Gann Strategy
TGS Levels is a price-geometry indicator designed to map algorithmic decision zones on the chart using principles inspired by W.D. Gann price geometry and Tesla 3-6-9 harmonic structure.
This indicator is not a signal generator.
It provides a structured price map to help traders understand where reactions or breakouts are statistically more likely to occur.
🔹 Core Concept
Markets do not move randomly.
They rotate and expand around harmonic price cycles.
TGS Levels automatically plots a 100-unit price cycle framework (ideal for XAUUSD / Gold) and divides each cycle into hierarchical angles used by institutional and algorithmic trading models.
🔹 Level Hierarchy (Very Important)
TGS uses four types of levels, each with a different purpose:
🔴 SUPER ANGLE (+45)
Primary decision level
Price often shows strong rejection or explosive breakout
Highest importance level
🟥 MAIN ANGLES (+27, +63, +81)
High-probability reaction zones
Used for structured pullbacks, rejections, or continuation confirmation
🟠 SECONDARY ANGLES (+18, +36, +54, +72, +90)
Context & management levels
Expect hesitation, partial profit zones, or stop-tightening areas
Not recommended for direct entries
🟡 MICRO LEVELS (+3, +6, +9)
Liquidity & compression map
Help visualize absorption, stop hunts, and consolidation
For structure awareness only
🔹 What This Indicator Is Used For
✔ Identifying where price is likely to react
✔ Understanding market structure and rotation
✔ Distinguishing rejection vs breakout zones
✔ Improving trade timing when combined with:
Volatility (ATR)
Market structure (HL / LH / BOS)
Session timing (London / New York)
🔹 What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not a prediction tool
❌ Not based on indicators like RSI or MACD
TGS Levels is a price-first framework, designed to be used with price action, volatility, and structure.
🔹 Best Use Case
Asset: XAUUSD (Gold)
Execution Timeframe: M5
Sessions: London & New York
Style: Scalping / Intraday structure trading
The same logic can be adapted to other instruments by adjusting the cycle size.
🔹 How to Trade With TGS (High-Level)
When volatility is low or falling → expect rejections at main/super angles
When volatility is expanding → expect breakouts through angles
Use oscillators (like Stochastic) only for timing, not direction
Always confirm with price behavior at the level
🔹 Final Note
TGS Levels provides a clean, non-repainting price map that stays aligned when zooming or scrolling the chart.
All levels are calculated automatically and update dynamically with price.
Levels explain behavior — reactions create opportunity.
TGS by Shad TGS Levels — Tesla–W.D. Gann Strategy
TGS Levels is a price-geometry indicator designed to map algorithmic decision zones on the chart using principles inspired by W.D. Gann price geometry and Tesla 3-6-9 harmonic structure.
This indicator is not a signal generator.
It provides a structured price map to help traders understand where reactions or breakouts are statistically more likely to occur.
🔹 Core Concept
Markets do not move randomly.
They rotate and expand around harmonic price cycles.
TGS Levels automatically plots a 100-unit price cycle framework (ideal for XAUUSD / Gold) and divides each cycle into hierarchical angles used by institutional and algorithmic trading models.
🔹 Level Hierarchy (Very Important)
TGS uses four types of levels, each with a different purpose:
🔴 SUPER ANGLE (+45)
Primary decision level
Price often shows strong rejection or explosive breakout
Highest importance level
🟥 MAIN ANGLES (+27, +63, +81)
High-probability reaction zones
Used for structured pullbacks, rejections, or continuation confirmation
🟠 SECONDARY ANGLES (+18, +36, +54, +72, +90)
Context & management levels
Expect hesitation, partial profit zones, or stop-tightening areas
Not recommended for direct entries
🟡 MICRO LEVELS (+3, +6, +9)
Liquidity & compression map
Help visualize absorption, stop hunts, and consolidation
For structure awareness only
🔹 What This Indicator Is Used For
✔ Identifying where price is likely to react
✔ Understanding market structure and rotation
✔ Distinguishing rejection vs breakout zones
✔ Improving trade timing when combined with:
Volatility (ATR)
Market structure (HL / LH / BOS)
Session timing (London / New York)
🔹 What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not a prediction tool
❌ Not based on indicators like RSI or MACD
TGS Levels is a price-first framework, designed to be used with price action, volatility, and structure.
🔹 Best Use Case
Asset: XAUUSD (Gold)
Execution Timeframe: M5
Sessions: London & New York
Style: Scalping / Intraday structure trading
The same logic can be adapted to other instruments by adjusting the cycle size.
🔹 How to Trade With TGS (High-Level)
When volatility is low or falling → expect rejections at main/super angles
When volatility is expanding → expect breakouts through angles
Use oscillators (like Stochastic) only for timing, not direction
Always confirm with price behavior at the level
🔹 Final Note
TGS Levels provides a clean, non-repainting price map that stays aligned when zooming or scrolling the chart.
All levels are calculated automatically and update dynamically with price.
Levels explain behavior — reactions create opportunity.
SNIPER Initial Balance V1SNIPER INITIAL BALANCE V1
### What It Does
Draws the first hour's high/low range with extensions and breakout signals.
### IB Times (Auto-Selected)
| Market Type | IB Period (ET) |
|-------------|----------------|
| Index (ES/NQ/YM) | 9:30 - 10:30 |
| Gold (GC/MGC) | 8:30 - 9:30 |
| Energy (CL) | 9:00 - 10:00 |
### Levels Drawn
| Level | Style | Purpose |
|-------|-------|---------|
| IB High | Solid | Resistance |
| IB Low | Solid | Support |
| IB Mid | Dashed | Mean reversion |
| 50% Ext | Dotted | Target 1 |
| 100% Ext | Dotted | Target 2 |
| 1SD (1.28x) | Dashed | 80% range |
| 2SD (2.0x) | Dashed | 95% range |
### Signals
| Signal | Meaning | Action |
|--------|---------|--------|
| `IB↑` | Breakout above IB High | Look for long |
| `IB↓` | Breakout below IB Low | Look for short |
| `RT↑` | Retest long entry | **BEST ENTRY** - Go long |
| `RT↓` | Retest short entry | **BEST ENTRY** - Go short |
| `FK` | Fakeout warning | **AVOID** - Don't enter |
### Entry Requirements (All Must Be True)
- ✅ Close above/below level (not just wick)
- ✅ Volume ≥ 1.3x average
- ✅ Body ≥ 60% of candle
- ✅ Minimal adverse wick
### Quick Trade Plan
```
LONG: Wait for RT↑ → SL below IB Low → TP at 50% or 100% ext
SHORT: Wait for RT↓ → SL above IB High → TP at 50% or 100% ext
```
---
HMA Fibo Trend RibbonHMA Fibo Trend Ribbon - Fibonacci Trend Indicator
📊 Indicator Description
This is a trend indicator based on the harmony of Fibonacci numbers. The indicator uses seven Hull Moving Averages with periods corresponding to the Fibonacci sequence: 8, 13, 21, 34, 55, 89, 144. This mathematical harmony allows the indicator to perfectly align with natural market cycles and wave structures.
🎯 Fibonacci Philosophy in Market Analysis
The Fibonacci sequence is not just a set of numbers, but a fundamental pattern found in nature, art, and financial markets. Using these periods provides:
Natural alignment with market cycles
Multifractal analysis (covering different wave levels)
Harmonious interaction between timeframes
Universal application across all timeframes
🔧 Indicator Settings
Visual Settings:
Show Main Line - Show main line (HMA 144 - golden ratio)
Show Ribbon Lines - Show the remaining 6 Fibonacci lines
Show Trend Change Labels - Show trend change labels
Show Info (Trend %) - Show info label with trend percentage
Ribbon Opacity - Ribbon transparency (0-100%)
🎨 Visualization of Fibonacci Structure
Color Harmony:
Each HMA line corresponds to a specific Fibonacci level
Collective movement creates the "Fibonacci Ribbon"
Color differentiation based on direction
Info Label:
Displays consensus of 7 Fibonacci levels
Percentage ratio of bullish/bearish lines
Color coding of the trend
📊 Interpretation of Fibonacci Signals
Consistency Levels:
7/7 lines in one direction - Perfect Fibonacci harmony
5-6/7 lines - Strong trend
3-4/7 lines - Consolidation/transition phase
0-2/7 lines - Opposite trend
🚀 Advantages of Fibonacci Approach
Natural harmony with market cycles
Universal - works on any asset and timeframe
Predictive power - anticipates reversal zones
Period synergy - signal amplification when aligned
Minimal lag - HMA responds better than regular MAs
⚡ Implementation Features
Technical Details:
Algorithm: Hull Moving Average (optimized for speed)
Periods: Pure Fibonacci sequence
Calculation: Consensus of 7 harmonic levels
Visualization: Intuitive color scheme
Performance:
Optimized for TradingView
Minimal system load
Support for all chart types
⚠️ Usage Recommendations
Combine with other Fibonacci tools
Verify signals on different timeframes
Use for trade entry filtering
Test on historical data before live trading
✍️ Author: A-Swift
📅 Version: 1.0 Fibonacci
🔗 Code: Open Source (MPL 2.0)
🧮 Basis: Fibonacci Sequence (8, 13, 21, 34, 55, 89, 144)
Fibonacci Fact:
The number 144 in the Fibonacci sequence is the square of its ordinal number (12²) and represents perfect harmony in market cycles. This makes the HMA with period 144 particularly significant for determining the main trend.
SAR Volume ScalperSAR Volume Scalper is a minimalist intraday scalping indicator designed for 1–2 minute charts, optimized for high-liquidity markets such as NASDAQ (NQ) and Gold (GC).
The indicator combines Parabolic SAR price crossings with a neutral volume participation filter (Volume ≥ EMA(Volume)), ensuring that signals appear only when the market is active, without relying on rare or aggressive volume spikes.
🔑 Core Logic
Parabolic SAR identifies precise micro-trend shifts
Trend EMA filters directional bias and reduces counter-trend trades
Neutral volume filter confirms market participation while preserving signal frequency
ATR-based targets adapt automatically to current volatility
🎯 Designed For
High-frequency scalping on 1–2 minute timeframes
Manual trade execution during active market sessions
Traders who prefer price and flow confirmation over heavy indicator stacking
⚠️ Disclaimer
This indicator is a decision-support tool and should not be used as standalone trading advice.
It is not intended for fully automated trading.
Custom Sector Comparison Index (CSCI)Compare any stock against a custom basket of its true peers.
Most traders compare stocks to broad indexes like the S&P 500 (SPY) or the Nasdaq (QQQ). But if you are analyzing a niche sector—like Residential REITs, Gold Miners, or AI Semis—broad indexes are too noisy.
This indicator allows you to build your own Custom Equal-Weight Index made up of up to 12 specific symbols. It then plots the performance of the stock you are currently viewing against that custom index, starting from a specific "Anchor Date" of your choosing.
Why use this?
Standard relative strength tools force you to compare against a single symbol (like SPY). But if you want to know if Centerspace (CSR) is lagging its direct competitors, comparing it to SPY (which contains Tech and Healthcare) is useless. Comparing it to VNQ (which contains Cell Towers and Malls) is also imperfect.
With this tool, you can create a "Pure Residential REIT" index and see exactly how your stock is performing against the group.
Key Features:
Fully Configurable: Input up to 12 different symbols to build your custom index.
Smart Filtering: Automatically ignores blank slots. You can build a basket of 3 stocks or 12 stocks without breaking the math.
Custom Anchor Date: Set the specific start date for the comparison (e.g., YTD, Q3 start, or a specific market event).
Visual Performance Gap: Green shading indicates your stock is outperforming the basket; Red shading indicates underperformance.
Example Use Case: Residential REITs
I developed this to analyze the "Residential REIT" sector. I wanted to see if Invitation Homes (INVH) was trading at a discount due to fundamentals or if the whole sector was down.
I configured the basket with 9 of its closest peers:
NYSE:VRE, NYSE:UDR, NYSE:MAA
NYSE:EQR, NYSE:CSR, NYSE:ESS
NYSE:CPT, NYSE:AVB, NYSE:AMH
The Result: The indicator draws a gray line representing the average return of those 9 "Big Boys." I can then load CSR on the chart and immediately see if it is lagging the pack (a potential value buy) or leading it.
How to Use:
Add the indicator to your chart.
Open Settings (Double-click the line).
Start Date: Set the date you want the "race" to begin (where all returns reset to 0%).
Symbols: Type in the tickers for your custom basket (e.g., NVDA, AMD, INTC). Leave unused slots blank.
Analyze:
Gray Line: The average performance of your basket.
Blue Line: The performance of the current symbol on your chart.
Pro Tip: You can save different "Presets" in the indicator settings for different sectors (e.g., save one preset as "Semis" and another as "Oil Majors") so you don't have to re-type symbols every time.
Confluence Execution Engine (2of3)The Confluence Execution Engine is a high-performance logic gate designed to filter out market noise and identify high-probability "Golden" entries. It moves beyond simple indicator signals by acting as a mathematical validator for price action. This engine is designed for the Systematic Trader. It removes the "guesswork" of whether a move is real or an exhaustion pump by requiring a mathematical confluence of volume, multi-timeframe momentum, and volatility-adjusted space.
Why This Tool is Unique:
Multi-Dimensional Scoring, Momentum-Adjusted Stretch, Institutional Fingerprint (RVOL + Spike)
Unlike a standard MACD or RSI, this engine uses a weighted scoring matrix. It pulls a "Bundle" of data (WaveTrend, RSI, ROC) from four different timeframes simultaneously. It doesn't give a signal unless the mathematical weight of all four timeframes crosses your "Hurdle" (Base Threshold).
Standard "overbought" indicators are often wrong during strong trends. This engine uses Dynamic Z-Score logic. The Logic: If the price moves away from the mean, it checks the Rate of Change (ROC). The Result: If momentum is massive, the "Stretch" limit expands. It understands that a "stretched" price is actually a sign of strength in a breakout, not a reason to exit. It only warns of a TRAP RISK when the price is far from the mean but momentum is starting to stall.
The engine is gated by Relative Volume. If the market is "sleepy," the engine stays in "PATIENCE" mode. It specifically hunts for Volume Spikes (default 2.5x average). A signal is only upgraded to "HIGH CONVICTION" when an institutional volume spike occurs, confirming that "Big Money" is participating.
How to Operate the Engine
Define Your Hurdle: Set your Confluence Hurdle. A higher number (e.g., 14+) requires more agreement across timeframes, leading to fewer but higher-quality trades.
Monitor the Z/Dynamic Ratio: In the HUD, watch the Z: X.XX / Y.YY. When X approaches Y, you are reaching the edge of the momentum-adjusted move.
The Entry Trigger: Wait for a "LOOK FOR..." advice to turn into a "HIGH CONVICTION" signal (marked by a triangle shape). This confirms that the MTF scoring, Volume, and HTF Trend are all aligned.
Execute the Lines: Use the red and green "Ghost Lines" to set your orders. These are ATR-based, meaning they widen during high volatility to give your trade room to breathe.
For holistic trading system, pair with Volatility Shield Pro and Session Levels
