Previous Day's Close Indicator (Regular Hours)This indicator was developed to replace TradingView's built-in previous close indicator—which erroneously uses the close from two trading days prior. By capturing the actual last trade during the standard session, this script provides a reliable and precise previous close level.
Key features include:
Accurate Previous Close: This indicator locks in the last trade of the regular session, ensuring you always see the true previous day close.
Customizable Display Options: Users can choose between a line or circle plot, with adjustable size settings to suit their charting preferences.
Enjoy!
Trendanalyse
Trend Trading IndicatorTrend Trading Indicator – Pine Script v5
Overview
The Trend Trading Indicator is designed to help traders identify market trends quickly and effectively. It highlights uptrends and downtrends using Exponential Moving Averages (EMAs) and provides clear buy and sell signals. The indicator is especially useful for detecting insider movements, marketing-driven price pumps, and potential death spirals in crypto and stock markets.
Key Features
✅ Fast-acting trend detection based on EMAs
✅ Clear buy & sell signals marked in blue (BUY) and red (SELL)
✅ Trend zones visually highlighted:
Green for bullish trends (uptrend)
Red for bearish trends (downtrend)
✅ Bold and visible labels for buy and sell signals
✅ Protects against insider selling & marketing hype cycles
✅ Alerts for crossover events
How It Works
Exponential Moving Averages (EMAs)
Short EMA (default: 50-period) represents fast market movement.
Long EMA (default: 100-period) represents slower trends.
When short EMA crosses above long EMA, it signals a buy opportunity.
When short EMA crosses below long EMA, it signals a sell opportunity.
Trend Zones
The area between the two EMAs is color-filled for better trend visualization.
Green Fill: Indicates a bullish trend where short EMA is above long EMA.
Red Fill: Indicates a bearish trend where short EMA is below long EMA.
Buy & Sell Labels
Buy Signal: Blue label “BUY” appears below the candle.
Sell Signal: Red label “SELL” appears above the candle.
Text is in black & bold for better visibility.
Alerts
Custom alerts notify traders when buy or sell conditions occur.
How to Use
Works best in crypto, forex, and stock markets.
Can be used in trend-following or breakout strategies.
Best suited for medium to long-term trades (adjust EMA settings for scalping).
This Trend Trading Indicator helps traders stay ahead of the market by visually identifying strong trends while reducing risks from insider manipulation and death spirals. 🚀
Segment RegressionAs an example of the descriptive power of Pine Script, this very short example traces a 'segment regression', a result not entirely obvious with so few lines of code, repositioning them when the previous inference moves away from the graph beyond the pre-set limit.
A trick used is to restart the new inference segment
- from the maximum reached in the previous trend, when positive (slope>0)
- from the minimum reached in the previous trend, when negative (slope<0)
The result can in my opinion be easily used to build strategies.
CandelaCharts - Liquidity Key Zones (LKZ)📝 Overview
The Liquidity Key Zones indicator displays the previous high and low levels for daily, weekly, monthly, quarterly, and yearly timeframes. These levels serve as crucial price zones for trading any market or instrument. They are also high-probability reaction zones, ideal for trading using straightforward confirmation patterns.
Each of these levels plays a significant role in determining whether the market continues its momentum or reverses its bias. I like to think of these levels as dual magnets—they simultaneously attract and repel price. You might wonder how having opposing views can be useful. The key is to remain neutral about direction and establish your own rules to identify when these zones are likely to attract or repel price. I have my own set of rules, and you can develop yours.
📦 Features
MTF
Styling
⚙️ Settings
Day: Shows previous day levels
Week: Shows previous week levels
Month: Shows previous month levels
Quarter: Shows previous quarter levels
Year: Shows previous year levels
Show Average: Shows previous level average price
Show Open: Shows previous level open price
⚡️ Showcase
Daily
Weekly
Monthly
Quarterly
Yearly
Average
Open
📒 Usage
When the price breaks through a significant level, such as a daily, weekly, or monthly high or low, it often signals a potential reversal in market direction. This occurs because these levels represent key areas of support or resistance, where traders anticipate heightened activity, including profit-taking, stop-loss orders, or new positions being initiated.
Once the price breaches these levels, it may trigger a sharp reaction as market participants adjust their strategies, leading to a reversal. Monitoring price action and volume around these levels can provide valuable confirmation of such reversals.
Another effective approach to utilizing these pivot points is by incorporating them into a structured trading strategy, such as the X Model, which leverages multiple timeframes and technical tools to refine trade entries and exits.
X Model conditions:
(D1) Previous Day High (ERL)
(H1) Bullish FVG/IFVG/OB (IRL)
(m15) MSS / SMT
Only Short Above 00:00
By combining these elements, the X Model offers a comprehensive framework for leveraging pivot levels effectively, emphasizing confluence between liquidity zones, time-based rules, and multi-timeframe analysis to enhance trading accuracy and consistency.
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is generated when the price breaks below the previous low level.
Bullish Signal
A bullish signal is generated when the price breaks above the previous low level.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Tillson T3 Moving Average (improved)T3 Moving Average – Advanced Smoothing for Trend Analysis
Overview
The Tillson T3 Moving Average (T3 MA) is a superior smoothing moving average that reduces lag while maintaining responsiveness to price changes. Unlike traditional moving averages such as SMA, EMA, or WMA, the T3 applies multiple levels of smoothing, making it more adaptive to market conditions.
How It Works
The T3 MA is an exponentially smoothed moving average with a factor that controls the level of smoothing. This multi-layered smoothing process allows it to:
✅ React faster than a standard EMA while still filtering out market noise.
✅ Smooth out price fluctuations better than SMA or WMA, reducing false signals.
✅ Reduce lag compared to traditional moving averages, making it useful for both trend identification and entry/exit decisions.
How to Use This Script
🔹 Trend Identification – Use T3 MA as a dynamic trend filter. Price above T3 signals an uptrend, while price below signals a downtrend.
🔹 Direction Signal – The direction of the T3 MA (i.e. sloping upwards or downwards) can itself be used as a signal. The script allows the MA line to be colored, so it's easier to spot.
🔹 Crossover Signals – Combine T3 with another moving average (e.g., a shorter T3 or EMA, SMA, etc.) to generate trade signals when they cross.
🔹 Support & Resistance – The T3 can act as dynamic support and resistance in trending markets.
Features of This Script
✅ Custom Source Selection – Apply T3 not just to price, but also to any indicator (e.g., RSI, volume, etc.).
✅ Customizable Length & Smoothing – Adjust how smooth and responsive the T3 MA is.
✅ Optional Color Changes – The T3 MA can dynamically change color based on trend direction, making it easier to read.
✅ Versatile for Any Strategy – Works well in trend-following, mean-reversion, and breakout trading systems.
This script is ideal for traders looking for a smoother, more adaptive moving average that reduces noise while remaining reactive to price action. 🚀
A-VWAP The Anchored VWAP (Volume-Weighted Average Price) is a powerful multi-functional tool that adapts to price action and volume dynamics to identify trend bias, support/resistance zones, and potential reversal points. This enhanced version integrates dynamic color-coded signals (green/red) to simplify decision-making for swing traders, intraday scalpers, and position managers.
Dynamic Trend Bias Identification
Green A-VWAP (Bullish Control): Activates when price sustains above the anchored VWAP. Highlights bullish momentum, suggesting institutional buying dominance and potential continuation setups.
Red aVWAP (Bearish Control): Triggers when price holds below the anchored VWAP. Signals bearish pressure, indicating distribution phases or downtrends.
Swing-Level Targeting
Green aVWAP serves as dynamic support for profit-taking on short positions during pullbacks and adding New long positions.
Red aVWAP becomes resistance for profit closure on Long trades. Price dipping far below red aVWAP may signal oversold conditions, with red aVWAP acting as a resistance target.
Strategic Applications
Swing Trading: Use green/red aVWAP to define trend alignment and position direction
Swing Short or Swing Long Target
Swing Long Entry or Swing Short Target
Intraday: nchored VWAP (aVWAP) with Standard Deviation (STDV) bands provides a powerful framework for identifying mean-reversion opportunities when price extends away from its volume-weighted fair value. Identifying Overextended Moves, Executing the Trade, Managing Risk
Institutional Flow Tracking: Monitor how price interacts with aVWAP to gauge institutional accumulation/distribution.
Standard Deviation Bands for Volatility Context
The indicator integrates ±1 and ±2 standard deviation bands around the Anchored VWAP. These bands quantify price dispersion, acting as dynamic boundaries for mean reversion or trend acceleration:
Tightening Bands: Signal low volatility, often preceding breakouts.
Expanding Bands: Reflect heightened volatility, indicating strong Resistance/Support.
Use these bands to identify overextended price levels.
Multi-Timeframe Anchoring Strategy
Lower Timeframe 15-Minute High/Low Focus:
For intraday scalping or short-term trades, anchor the VWAP to swing highs or lows on the 15-minute Low/High.
Higher Timeframe 1-Hour High/Low Focus:
For swing trading, anchor the VWAP to major swing points on the 1-hour Low/High. This aligns with broader market structure, offering clarity on institutional accumulation/distribution zones. A sustained green zone above the HTF VWAP signals alignment with the higher-timeframe trend.
Anchored VWAP Most Powerful tool
The enhanced VWAP with Anchoring empowers traders to harmonize short-term precision with higher-timeframe context. Whether scalping on the 15-minute chart or swing trading, this tool adapts to your strategy’s rhythm. By anchoring to critical highs/lows and layering volatility bands, it transforms raw price action into a structured roadmap—guiding entries, exits, and risk management with institutional-grade clarity.
Master the markets across timeframes with an indicator that scales with your ambition.
Money Flow Indicator (Chaikin Oscillator) with VWAPStrategy Overview
Entry Conditions:
Buy Entry:
The Chaikin Oscillator crosses above the signal line.
The current price is above the VWAP.
Sell Entry:
The Chaikin Oscillator crosses below the signal line.
The current price is below the VWAP.
Exit Conditions:
Profit Taking:
Take profit when a target profit is reached (e.g., a 2% increase from the entry price).
Stop Loss:
Set a stop loss, for example, at a 1% decline from the entry price.
Risk Management:
Manage risk by limiting each trade to no more than 1-2% of the account balance.
Calculate position size based on risk and trade accordingly.
Trend Confirmation:
Use other indicators (like moving averages) to confirm the overall trend and focus trades in the direction of the trend.
In an uptrend, prioritize buy entries; in a downtrend, prioritize sell entries.
Specific Trade Scenarios
Example 1: Buy Entry:
Enter a buy position when the Chaikin Oscillator crosses above the signal line and the price is above the VWAP.
Set a stop loss 1% below the entry price and a profit target 2% above the entry price.
Example 2: Sell Entry:
Enter a sell position when the Chaikin Oscillator crosses below the signal line and the price is below the VWAP.
Set a stop loss 1% above the entry price and a profit target 2% below the entry price.
Additional Considerations
Backtesting: Test this strategy with historical data to evaluate performance and make adjustments as needed.
Market Conditions: Pay attention to market volatility and economic indicators, adjusting the trading strategy flexibly.
Psychological Factors: Avoid emotional decisions and follow clear rules when trading.
Ultimator's bottom finder 2.0This indicator is intended to find local bottoms on certain stocks like GME and SPY.
It is only designed to be effective on a few select stocks and will be useless on others.
The bottom finder attempts to find bottoms by using a unique algorithm I developed, which creates a baseline for what the stock "should" look like vs. what it actually looks like.
Since the algorithm was created to mimic GME price action, it will not work as intended on stocks that trade vastly differently. On stocks other than GME (and SPY) you need to test it for yourself to see if it has any functionality.
Large deviations in the actual price vs baseline price create a spike on the indicator with the magnitude of the spike being the guesstimated deviation. This is intended to show options and swap hedging, which coincidentally tend to coincide with local bottoms on the chart. The indicator creates a highlight when it believes it has found a local bottom. It also changes the color of the line based on the magnitude of the spike.
I added a second line, which performs a similar mechanic, so there are two separate baselines running concurrently. The deviation between the two is shown as a shaded area between the lines.
The indicator doesn't (yet) include after hours functionality, and simply zeroes out at close and before open. Because of this, only short timeframes and long timeframes result in any meaningful data.
Optimized for 1 min and 1 day timeframes.
Alerts are set for when the line turns red and when the indicator highlights. These can be toggled in the alerts menu.
ATR Levels and Zones with Signals📌 ATR Levels and Zones with Signals – User Guide Description
🔹 Overview
The ATR Levels and Zones with Signals indicator is a volatility-based trading tool that helps traders identify:
✔ Key support & resistance levels based on ATR (Average True Range)
✔ Buy & Sell signals triggered when price enters key ATR zones
✔ Breakout confirmations to detect high-momentum moves
✔ Dynamic Stop-Loss & Take-Profit suggestions
Unlike traditional ATR bands, this indicator creates layered ATR zones based on multiple ATR multipliers, allowing traders to gauge volatility and risk-adjust their trading strategies.
🔹 How It Works
🔸 The script calculates a baseline SMA (Simple Moving Average) of the price.
🔸 ATR (Average True Range) is then used to create six dynamic price levels above & below the baseline.
🔸 These levels define different risk zones—higher levels indicate increased volatility and potential trend exhaustion.
📈 ATR Zones Explained
🔹 Lower ATR Levels (Buying Opportunities)
📉 Lower Level 1-2 → Mild Oversold Zone (Potential trend continuation)
📉 Lower Level 3-4 → High Volatility Buy Zone (Aggressive traders start scaling in)
📉 Lower Level 5-6 → Extreme Oversold Zone (High-Risk Reversal Area)
🔹 If price enters these lower zones, it may indicate a potential buying opportunity, especially if combined with trend reversal confirmation.
🔹 Upper ATR Levels (Selling / Take Profit Zones)
📈 Upper Level 1-2 → Mild Overbought Zone (Potential pullback area)
📈 Upper Level 3-4 → High Volatility Sell Zone (Aggressive traders start scaling out)
📈 Upper Level 5-6 → Extreme Overbought Zone (High-Risk for Reversal)
🔹 If price enters these upper zones, it may indicate a potential selling opportunity or trend exhaustion, especially if momentum slows.
🔹 Sensitivity Modes
🔹 Aggressive Mode (More Frequent Signals) → Triggers buy/sell signals at Lower/Upper Level 3 & 4
🔹 Conservative Mode (Stronger Confirmation) → Triggers buy/sell signals at Lower/Upper Level 5 & 6
📌 Choose the mode based on your trading style:
✔ Scalpers & short-term traders → Use Aggressive Mode
✔ Swing & trend traders → Use Conservative Mode for stronger confirmations
🚀 How to Use the Indicator
🔹 For Trend Trading:
✅ Buy when price enters the lower ATR zones (especially in uptrends).
✅ Sell when price enters the upper ATR zones (especially in downtrends).
🔹 For Breakout Trading:
✅ Breakout Buy: Price breaks above Upper ATR Level 3 → Momentum entry for trend continuation
✅ Breakout Sell: Price breaks below Lower ATR Level 3 → Momentum short opportunity
🔹 Stop-Loss & Take-Profit Suggestions
🚨 Stop-Loss: Suggested at Lower ATR Level 6 (for longs) or Upper ATR Level 6 (for shorts)
🎯 Take-Profit: Suggested at Upper ATR Level 3 (for longs) or Lower ATR Level 3 (for shorts)
🔹 Why This Indicator is Unique
✔ Multiple ATR layers for better risk-adjusted trading decisions
✔ Combines ATR-based zones with SMA trend confirmation
✔ Both aggressive & conservative trading modes available
✔ Includes automatic stop-loss & take-profit suggestions
✔ Breakout signals for momentum traders
📢 Final Notes
✅ Free & open-source for the TradingView community!
⚠ Risk Warning: Always confirm signals with other confluences (trend, volume, support/resistance) before trading.
📌 Developed by: Maddog Blewitt
📩 Feedback & improvements are welcome! 🚀
Value Area - Day Trading SuiteValue Area Day Trading Suite
A professional-grade indicator designed specifically for day traders who utilize Volume Profile and Auction Market Theory. This suite provides tracking of previous day's value areas, helping traders identify how current price interacts with these established institutional levels.
It tracks how much time has spent within the value area without Level to Help Measure Acceptance
Key Features
- Previous Day's Value Area tracking (VAH, POC, VAL)
- Precise time-in-value-area measurement
- Cash session integration with major market timezones
- Value Area acceptance alerts
Trading Applications
Perfect for day traders who:
- Trade using previous day's Volume Profile levels
- Focus on institutional price acceptance/rejection
- Trade market structure using confirmed value areas
- Want to automate their value area analysis
- Trade during specific market sessions
Value Area Analysis
The indicator tracks how long price stays within the previous day's value area, helping traders:
- Identify Potential Support / Resistance Levels
- Spot acceptance of established levels
- Find high-probability trading opportunities
- Time their entries and exits more effectively
Professional Tools
- Customizable cash session times for different markets
- Multiple timezone support
- Flexible dashboard positioning
- Clean, professional appearance with adjustable colors
- Alert system for value area acceptance
Built for day traders who utilize value areas
Custom Index CompositeCustom Index Composite calculates an unweighted composite index by averaging the daily returns of multiple stock tickers. Instead of using price-level weighting, it focuses solely on percentage change, allowing you to compare diverse market themes side by side on a common basis.
Why Use a Custom Index Composite?
Unlike traditional indices that often lean on market capitalization or price-level data, a custom composite based solely on returns strips out the bias inherent to high-priced stocks. This provides several benefits:
Objective Cross-Comparison:
When stocks or market themes trade at very different price levels, it can be difficult to assess performance objectively. Using percentage returns, the composite creates an even playing field, enabling a clear comparison between different assets or themes.
Tailored Benchmarking:
By selecting and combining specific tickers, you can create benchmarks that better represent the segments or strategies you’re interested in. This is particularly useful when standard indices do not capture the nuances of your investment approach.
Performance Normalization:
Converting raw price data into daily percentage returns minimizes distortions that arise from price differences. This normalization helps in understanding true performance trends across the chosen tickers, making the composite index a more reliable gauge of relative market movement.
Custom Analysis Framework:
The indicator offers flexibility to adjust the lookback period (defaulting to about 3 months) so you can fine-tune the sensitivity of the index to recent market behavior. This enables you to either smooth out volatility or capture a more immediate trend, depending on your analytical needs.
Key Features:
Configurable Appearance:
You can easily configure the line color, line width, index name, and index name color via the options panel.
Ticker Configuration:
By default, you can enter up to 15 different tickers into the composite index. Technically, the indicator supports up to 40 tickers (these additional inputs are commented out by default to maintain performance), and you may enable them individually if required.
Calculated Bars Length:
The indicator uses a “Calculated bars length” setting, which is set by default to 63 days (approximately 3 months). This value can be adjusted, and it is recommended to use the greatest common denominator for consistent analysis.
How To Configure Your Chart:
Add the Indicator:
Place the Custom Index Composite on your chart.
Disable Main Symbol Visibility:
Hide the primary symbol’s plot and set its scale to “None” to prevent interference with the composite display.
Pin to Right Scale:
Set the scale of the first composite indicator to “Pinned to right scale.” This helps maintain consistency across different composite indicators.
Add Multiple Composites:
You can add additional composite indicators and set their scales to “Pinned to right scale” (or alternatively to “A”) for convenient comparison.
Limitations:
If a ticker symbol is set once in the options, it cannot be cleared to an empty value later. As a result, the symbol will continue to appear in the indicator’s title on the chart. The only way to remove an unwanted symbol is to completely reset the settings and re-enter your desired tickers.
Normalized RSI Trendline with DivergencesNormalized RSI Trendline with Divergences
🔹 Overview
The Normalized RSI Trendline with Divergences indicator enhances traditional RSI analysis by normalizing RSI values within a defined range and applying a trend-following approach. It also detects bullish and bearish divergences to highlight potential trend reversals.
🔹 Features
✔ Normalized RSI Calculation – The RSI values are normalized between -1 and 1 to provide a clearer representation of market momentum.
✔ Trend & Center Lines – A trendline based on linear regression and an adaptive moving average (ALMA) for smoother trend visualization.
✔ Divergence Detection – Identifies regular and hidden divergences, displaying signals directly on the chart.
✔ Customizable Parameters – Users can adjust the signal period, lookback range, trend length, and divergence sensitivity to fit different trading strategies.
🔹 How to Use
Trend Following: The trendline helps identify the overall market direction.
Divergence Signals:
🟢 Bullish Divergence (Potential upward reversal)
🔴 Bearish Divergence (Potential downward reversal)
🟩 Hidden Bullish Divergence (Trend continuation signal)
🟧 Hidden Bearish Divergence (Trend continuation signal)
This script is suitable for trend traders, swing traders, and divergence-based strategies. Customize the settings to match your preferred trading style. 🚀
📌 Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always conduct your own analysis before making trading decisions.
Tolga's Market Radar - DashboardTolga's Market Radar - Dashboard – The Only TradingView Dashboard Showing Both Daily Performance & Daily Range Together.
This unique dashboard concisely displays both the daily percentage change and the daily range position for up to 14 user-selected tickers, all in one clear, easy-to-follow table.
A customizable dashboard to track daily percentage changes and daily range positions for up to 14 user‐defined symbols. This script displays a color‐coded table (teal for bullish moves, red for bearish moves) that updates in real‐time, helping you quickly gauge market conditions across various assets.
Key Features:
Dual Metrics: Simultaneously shows daily performance (percentage change) and range position.
Customizable: Set your preferred tickers and labels, with an option to invert for quote-driven pairs.
Color-Coded Clarity: Uses a teal/red scheme to instantly highlight bullish or bearish moves.
Flexible Timeframes: Adjust the resolution to suit your trading strategy.
Ideal for traders who want a compact, real-time snapshot of market moves without clutter. Enjoy a streamlined view that uniquely combines both performance and range data in one dashboard!
Two Measurements
Daily % Change: (Close - Previous Close) / Previous Close × 100.
Daily Range Position: Where today’s close sits relative to the day’s high/low, expressed as a percentage (0% = at low, 100% = at high).
Configure Symbols
For each row (Group 1 for the top row, Group 2 for the bottom row), enter:
Symbol Label: The text you want displayed in the table header.
Symbol Ticker: The TradingView ticker (e.g., FX:AUDUSD, TVC:USOIL, etc.).
Invert?: Toggle this on if you want to flip the percentage change (for pairs like USDCAD, turning it into CAD’s perspective).
Interpretation of the Table
Each cell shows two lines:
Daily % Change (top line).
Daily Range Position (bottom line).
The background color instantly tells you if the asset is bullish or bearish and whether the close is near the top or bottom of the day’s range.
Notes & Disclaimers:
This script is designed for informational and educational purposes. Always do your own due diligence before making trading decisions.
Performance may vary depending on your TradingView plan and the number of tickers you request.
MosaicMix V3 | QuantEdgeBIntroducing MosaicMix V3 by QuantEdgeB
🔹 Overview
MosaicMix V3 is an advanced multi-dimensional trend-following indicator designed for investors, traders, and analysts looking to assess market cycles, identify strategic entry/exit points, and optimize risk management. This system integrates on-chain data, macroeconomic insights, and technical analysis into a unified scoring model to provide a data-driven approach to market decision-making.
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🛠️ Who is it for?
✔ Long-Term Investors – Helps in understanding deep-cycle valuation trends for Bitcoin and other assets highly influenced by global macroeconomic dynamics.
✔ Swing & Position Traders – Offers trend-based buy and sell signals, combining risk-adjusted momentum with on chain indicators.
✔ Risk-Averse Traders – Uses a systematic approach to risk quantification, making it useful for those aiming to avoid high-risk trades.
✔ Long-Term Horizon – Tailored for those managing positions over months to years, particularly in global risk assets like Bitcoin, where macroeconomic and market cycle dynamics play a crucial role.
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🔑 Key Features
✔ 📊 On-Chain Intelligence – Incorporates fundamental blockchain metrics, including MVRV momentum, profit/loss ratios, and MVRV Rate of Change, to assess valuation trends and market strength.
✔ 🌍 Macro & Risk Integration – Uses global economic indicators such as China’s equity index, PMI data, Baltic Dry Index, and the Silver-to-BTC ratio to capture external market influences.
✔ 📈 Adaptive Trend Identification – Implements DEMA, WMA, and EMA smoothing techniques to refine trend direction and momentum shifts, reducing noise and improving trade reliability.
✔ 📏 Risk-Weighted Mosaic Model – Merges technical and fundamental indicators into a single, risk-adjusted composite score, enabling a structured assessment of market conditions.
✔ 🛠️ Customizable Inputs & Dashboard – Traders can adjust on-chain parameters, macro settings, and smoothing techniques, ensuring flexibility across different market environments.
✔ ⚡ Signal-Based Trading Alerts – Automatic buy/sell signals triggered based on risk conditions and on-chain trend changes, with real-time alerts for trade execution.
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🔍 How It Works
1️⃣ On-Chain Market Evaluation – The system derives trend momentum using MVRV momentum, profit/loss ratios, and MVRV Rate of Change (RoC) to assess underlying market movements.
2️⃣ Macroeconomic Risk Mosaic – A composite Z-score model evaluates external influences like equity performance, supply metrics, and commodity ratios to refine long-term positioning.
3️⃣ Risk-Adjusted Filtering – The model smooths signals with exponential averaging and volatility normalization to ensure stable and consistent trade execution.
4️⃣ Unified Signal Scoring – The final signal integrates on-chain data and macro risk factors into a single trend indication, highlighting favorable long or short opportunities.
5️⃣ Visual & Data Dashboard – The embedded dashboard provides real-time updates on macro risk, on-chain trends, and technical positioning to inform decision-making.
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Behaviour across Crypto Majors
BTC
ETH
SOL
Note: Past behaviour/performance is not indicative of future results. Always conduct thorough testing and risk management before making trading decisions.
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Signal Generation
✅ Long Signals:
A Long Signal is triggered when the Final Section in the dashboard is positive, indicating a favorable macro and on-chain environment.
✅ Short Signals:
A Short Signal (or Cash Mode) is triggered when the Final Section turns negative, signaling potential downside risk or unfavorable conditions.
- Signal confirmation is visually represented through color changes on the chart, with bullish (long) and bearish (cash) states clearly distinguished.
- When Label Display is turned off, the signals "Long" and "Cash" will still appear directly on the chart to ensure clear trade visibility.
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⚙️ Default Settings
🔹 On-Chain Section:
- MVRV Momentum: 20 (DEMA)
- MVRV WMA Smoothing: 300
- Profit/Loss Lookback: 50
- MVRV RoC Period: 110
🔹 Macro Section:
- RSI Length: 30
- China Equity Index Length: 40
- BTC Supply Length: 40
- Silver Ratio Length: 40
- Baltic Dry Index Length: 60
- SOPR Length: 150
- RiskMosaic Smoothing: 24
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Conclusion
MosaicMix V3 is a powerful fundamental trend-following system that merges on-chain analysis, macroeconomic insights, and technical momentum into a comprehensive risk-adjusted model. It is particularly well-suited and optimized for Bitcoin and macro-aware traders, but can also be applied to other assets with sufficient historical data.
Whether you are an investor seeking long-term value signals, a trader optimizing for risk-adjusted trend entries, or an analyst monitoring multi-dimensional market conditions, MosaicMix V3 provides a systematic, structured approach to market navigation.
🔹 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.
WhaleTrackBITGET:BTCUSDT.P
WhaleTrack – Volume Heatmap to Uncover Institutional Trading Activity
Overview
WhaleTrack is a volume-based heatmap indicator designed to reveal areas of high institutional trading activity. The indicator helps traders identify hidden support and resistance levels, analyze trend sustainability, and optimize stop-loss placements by displaying where significant market participants (whales) have historically traded in large volumes.
Institutions and large traders often push price into areas of historical liquidity to trigger retail stop-losses and fill their own large orders at optimal prices. WhaleTrack visualizes these critical areas, allowing traders to anticipate future price movements based on past institutional behavior.
How WhaleTrack Works
WhaleTrack analyzes historical trading volume and calculates a normalized volume intensity relative to the moving average (SMA). This data is then mapped onto a heatmap that highlights key liquidity zones.
1. Volume Normalization & SMA-Based Calculation
The script calculates the ratio of current volume to its SMA-based average.
Zones with significantly high volume spikes are identified as key liquidity areas where large traders may have accumulated or distributed assets.
The volume is quantized into different levels, ranging from Low to Extreme, creating a clear heatmap gradient.
2. Why Do Whales Manipulate Liquidity?
Large traders (whales) need liquidity to execute their orders.
They push price into historical high-volume areas to trigger stop-losses and force retail traders into selling.
This behavior allows them to accumulate at lower prices or distribute at higher prices before a major move.
Whale zones often act as support/resistance because institutions tend to protect their previous accumulation or distribution levels.
3. Heatmap Color Model & Zone Classification
WhaleTrack assigns volume intensity levels based on historical market participation:
Low → Minimal volume, weak interest
Low-Mid → Slightly increased volume
Mid → Standard trading activity, no major anomalies
Mid-High → Significant increase in volume, possible whale activity
High → Strong liquidity pool, institutional interest
Extreme → Highly concentrated volume, key reversal area
By observing these zones, traders can determine whether a price level is likely to hold as support or resistance , or if a breakout has the strength to sustain.
Trading Applications of WhaleTrack
WhaleTrack can be used to identify trade setups based on liquidity behavior:
1. Identifying Hidden Reversal Points (Support & Resistance)
Large Whale Zones below price → Likely strong support.
Large Whale Zones above price → Likely strong resistance.
These zones often lead to reversals, as large traders defend their previous positions.
2. Evaluating Trend Sustainability
A strong uptrend should leave multiple high-volume zones behind.
If no new high-volume zones form, the trend may be unsustainable.
High volume clusters in trend direction? → Likely trend continuation.
3. Optimizing Stop-Loss Placement
Placing stops inside whale zones increases stop-out risk.
Setting stops below whale buy zones protects against premature liquidation.
Stops above whale sell zones help avoid fake breakouts.
Customization & Settings
WhaleTrack is designed with flexibility in mind, offering multiple customization options:
1. Layout & Color Models
WhaleTrack Default – optimized for whale volume tracking
Model 1 & Model 2 – alternative heatmap color schemes
Contrast Mode – high visibility
White-Black & Black-White – for different chart backgrounds
Custom 1 & Custom 2 – user-defined color configurations
2. Advanced Options
Draw Full Candle Boxes – display full candle height or a partial range
Legend Visibility & Positioning – control placement of the heatmap legend
Exponential Color Model – choose between logarithmic and linear volume representation
Max Transparency Settings – adjust visibility of older zones
Number of Heatmap Colors – set the gradient sensitivity
3. Data Optimization Settings
Lookback Period – define how many bars are analyzed for volume normalization
Max Box Display – limit the number of displayed volume zones
Data Saver Mode – increase range at the expense of detail
Minimum Volume Threshold – filter out insignificant volume clusters
Disclaimer
This indicator is for educational and informational purposes only. It does not provide financial advice or guarantee future performance. Trading is risky—conduct your own research before making any investment decisions.
EMA POD Indicator #gangesThis script is a technical analysis indicator that uses multiple Exponential Moving Averages (EMAs) to identify trends and track price changes in the market. Here's a breakdown:
EMA Calculation: It calculates six different EMAs (for periods 5, 10, 20, 50, 100, and 150) to track short- and long-term trends.
Trend Identification:
Uptrend: The script identifies an uptrend when the EMAs are in ascending order (EMA5 > EMA10 > EMA20 > EMA50 > EMA100 > EMA150).
Downtrend: A downtrend is identified when the EMAs are not in ascending order.
Trend Change Tracking: It tracks when an uptrend starts and ends, displaying the duration of the trend and the percentage price change during the trend.
Visuals:
It plots the EMAs on the chart with different colors.
It adds green and red lines to represent the ongoing uptrend and downtrend.
Labels are displayed showing when the uptrend starts and ends, along with the trend's duration and price change percentage.
In short, this indicator helps visualize trends, track their changes, and measure the impact of those trends on price.
Range Breakout [BigBeluga]Range Breakout is a dynamic channel-based indicator designed to identify breakout opportunities and price reactions within defined ranges. It automatically creates upper and lower bands with a midline, helping traders spot breakout zones, retests, and potential fakeouts.
🔵 Key Features:
Dynamic Channel Formation:
Automatically plots upper and lower channel bands with a midline based on ATR calculations.
Channels adjust upon breakout events or after a predefined number of bars to reflect new price ranges.
Breakout Detection:
Green circles appear when price breaks above the upper channel edge.
Red circles appear when price breaks below the lower channel edge.
A new channel is formed after each breakout, allowing traders to monitor evolving price ranges.
Retest Signals:
Upward-pointing green triangles signal a retest of the lower band, indicating potential support.
Downward-pointing red triangles indicate a retest of the upper band, suggesting possible resistance.
Filter Signals by Trends (New Feature):
Optional toggle to filter ▲ and ▼ signals based on channel breakout conditions.
When enabled:
In a bullish channel (confirmed by a green circle breakout), only ▲ signals are displayed.
In a bearish channel (confirmed by a red circle breakout), only ▼ signals are displayed.
Helps traders align retest signals with the prevailing trend for higher-quality trade setups.
Fakeout Identification:
'X' symbols appear when price breaks the upper or lower edge of the channel and quickly returns back inside.
Helps traders identify and avoid false breakouts.
🔵 Usage:
Breakout Trading: Use the green and red circle signals to identify potential breakout trades.
Retest Confirmation: Look for triangle markers to confirm retests of key levels, aiding in entry or exit decisions.
Fakeout Alerts: Utilize the 'X' signals to spot and avoid potential trap moves.
Dynamic Range Monitoring: Stay aware of changing market conditions with automatically updating channels.
Range Breakout is an essential tool for traders seeking to capitalize on range breakouts, retests, and fakeout scenarios. Its dynamic channels and clear visual signals provide a comprehensive view of market structure and potential trade setups.
Price Change IndicatorPrice Change Indicator (PCI)
Version: 1.0
Author: LazyTrader 🚀
🔍 Overview
The Price Change Indicator (PCI) helps traders visualize and compare price changes between the current bar and the previous bar. It provides a customizable display of price changes in two formats:
Percentage (%) Change – Relative price movement.
Natural Change – Absolute difference in price units.
⚙️ Key Features
✅ Customizable Calculation Method: Choose how the price change is calculated:
Opening Price
Closing Price
High
Low
✅ Flexible Display Format:
Show Percentage (%) Change.
Show Natural (Absolute) Change in price.
✅ Adjustable Sensitivity with Multiplier:
100 (Standard Change)
1000 (Small Change)
10000 (Tiny Change)
✅ Intuitive Labeling:
Green label (above bar) for increase.
Red label (below bar) for decrease.
No label if no change.
Large, easy-to-read labels for better visibility.
✅ Perfect for Any Market:
Stocks 📈
Forex 💱
Crypto 🚀
Commodities 🛢️
📊 How It Works
The indicator calculates the difference between the current and previous bar’s price based on your chosen method.
The result is displayed as either a percentage (%) or a natural price change.
If the price has increased, a green label is displayed above the bar.
If the price has decreased, a red label is displayed below the bar.
⚡ How to Use
Add the indicator to your chart.
Go to settings and customize:
Select calculation method (Open, Close, High, Low).
Choose display format (% or Natural Change).
Adjust multiplier for more sensitivity.
Analyze the labels to see price movements easily!
🔧 Settings Explained
Setting Description
Price Calculation Method: Choose Open, Close, High, or Low price for comparison.
Display Format: Show either % Change or Natural Change.
Multiplier: Apply 100, 1000, or 10000 to scale small price changes.
Show Labels: Toggle labels on/off.
🎯 Best Use Cases
🔹 Identifying strong price movements
🔹 Spotting trends and momentum shifts
🔹 Comparing price movement intensity
🔹 Works for scalping, swing trading, and long-term analysis
Auto Fibonacci Level Indicator - El Patron=======================================================================
Auto Fibonacci Level Indicator - El Patron
=======================================================================
Description:
This indicator automatically calculates and plots Fibonacci levels based on
the highest high and lowest low of a specified lookback period from a user-
selectable timeframe. It supports a Reverse Fibonacci option to swap the
calculation (i.e. drawing levels from the swing high to the swing low) and
provides intrabar updates using the lookahead feature. Customize the color
for each Fibonacci level to suit your trading style.
Inputs:
- Time Frame:
Choose from "60" (1H), "240" (4H), or "D" (Daily) to retrieve data for
the Fibonacci calculations.
- Lookback Period:
The number of bars (in the selected timeframe) to consider for
determining the highest high and lowest low.
- Reverse Fibonacci:
Check this box to reverse the Fibonacci calculation from the usual low-
to-high to a high-to-low perspective.
- Color Inputs:
Customize the colors for each Fibonacci level, including levels such as
0, 0.11, 0.114, ... , 1.618.
Usage:
1. Apply the indicator to any chart.
2. In the settings panel, adjust the Time Frame, Lookback Period, and
Reverse Fibonacci options as desired.
3. The Fibonacci levels will be plotted as horizontal lines on your chart.
4. Intrabar updates are enabled via the lookahead parameter; note that this
may result in repainting.
Notes:
- When using intrabar lookahead, the levels update during the formation of
the current bar which might cause historical values to change (repainting).
- The indicator can pull data from a different timeframe than the chart's,
which is useful for multi-timeframe analysis.
Author: Turker Balkar - El Patron
Version: 1.0
TradFi Fundamentals: Enhanced Macroeconomic Momentum Trading Introduction
The "Enhanced Momentum with Advanced Normalization and Smoothing" indicator is a tool that combines traditional price momentum with a broad range of macroeconomic factors. I introduced the basic version from a research paper in my last script. This one leverages not only the price action of a security but also incorporates key economic data—such as GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and market volatility (VIX)—to create a comprehensive, normalized momentum score.
Previous indicator
Explanation
In plain terms, the indicator calculates a raw momentum value based on the change in price over a defined lookback period. It then normalizes this momentum, along with several economic indicators, using a method chosen by the user (options include simple, exponential, or weighted moving averages, as well as a median absolute deviation (MAD) approach). Each normalized component is assigned a weight reflecting its relative importance, and these weighted values are summed to produce an overall momentum score.
To reduce noise, the combined momentum score can be further smoothed using a user-selected method.
Signals
For generating trade signals, the indicator offers two modes:
Zero Cross Mode: Signals occur when the smoothed momentum line crosses the zero threshold.
Zone Mode: Overbought and oversold boundaries (which are user defined) provide signals when the momentum line crosses these preset limits.
Definition of the Settings
Price Momentum Settings:
Price Momentum Lookback: The number of days used to compute the percentage change in price (default 50 days).
Normalization Period (Price Momentum): The period over which the price momentum is normalized (default 200 days).
Economic Data Settings:
Normalization Period (Economic Data): The period used to normalize all economic indicators (default 200 days).
Normalization Method: Choose among SMA, EMA, WMA, or MAD to standardize both price and economic data. If MAD is chosen, a multiplier factor is applied (default is 1.4826).
Smoothing Options:
Apply Smoothing: A toggle to enable further smoothing of the combined momentum score.
Smoothing Period & Method: Define the period and type (SMA, EMA, or WMA) used to smooth the final momentum score.
Signal Generation Settings:
Signal Mode: Select whether signals are based on a zero-line crossover or by crossing user-defined overbought/oversold (OB/OS) zones.
OB/OS Zones: Define the upper and lower boundaries (default upper zones at 1.0 and 2.0, lower zones at -1.0 and -2.0) for zone-based signals.
Weights:
Each component (price momentum, GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and VIX) has an associated weight that determines its contribution to the overall score. These can be adjusted to reflect different market views or risk preferences.
Visual Aspects
The indicator plots the smoothed combined momentum score as a continuous blue line against a dotted zero-line reference. If the Zone signal mode is selected, the indicator also displays the upper and lower OB/OS boundaries as horizontal lines (red for overbought and green for oversold). Buy and sell signals are marked by small labels ("B" for buy and "S" for sell) that appear at the bottom or top of the chart when the score crosses the defined thresholds, allowing traders to quickly identify potential entry or exit points.
Conclusion
This enhanced indicator provides traders with a robust approach to momentum trading by integrating traditional price-based signals with a suite of macroeconomic indicators. Its normalization and smoothing techniques help reduce noise and mitigate the effects of outliers, while the flexible signal generation modes offer multiple ways to interpret market conditions. Overall, this tool is designed to deliver a more nuanced perspective on market momentum.
Market Structure [ActiveQuants]The Market Structure indicator is a powerful tool designed to help traders identify key market structure shifts and change of character (CHoCH) points. By plotting swing highs, swing lows, and structural breaks , this indicator allows traders to track price action dynamics, improving trade execution and strategy development.
█ KEY FEATURES
Market Structure Visualization : Automatically detects and plots pivot highs and pivot lows , highlighting structural points on the chart.
Change of Character (CHoCH) Detection : Identifies bullish and bearish CHoCH events, marking key shifts in market sentiment.
Customizable Sensitivity : Adjust the pivot sensitivity to fine-tune market structure identification based on different trading styles and timeframes.
Dynamic Labeling & Line Management : Automatically removes old lines and labels to keep the chart clean and focused on recent price action.
User-Defined Display Options : Customize the colors, visibility, and number of bars shown to match your personal trading preferences.
█ CONCLUSION
The Market Structure & CHoCH Indicator is an essential tool for traders who rely on price action and structure-based strategies. By visually mapping key swing points and structure shifts , it enhances decision-making, helping traders align with the market trend and spot potential reversals.
█ IMPORTANT
⚠ CHoCH signals should be used in conjunction with other confluences such as supply & demand zones, order flow, or trend confirmation.
⚠ Adjust pivot sensitivity based on your preferred timeframe and asset class to optimize accuracy.
Incorporate this indicator into your trading workflow to enhance market structure analysis and refine entry & exit strategies .
📈 Happy trading! 🚀
Flux Charts - SFX Screener💎 GENERAL OVERVIEW
The SFX Screener by Flux Charts is a multi-timeframe market scanner that extracts and visually organizes key conditions detected by the SFX Algo indicator across multiple assets in real-time. It does not perform independent analysis or generate new signals—instead, it pulls data directly from the SFX Algo’s calculations to ensure full alignment across different timeframes and tickers.
The SFX Algo is a multi-factor trading indicator that integrates trend analysis, signal generation, market overlays, and take-profit/stop-loss levels into a single system. It evaluates multiple trend components, including EMA direction, momentum shifts, and volatility cycles, to determine market conditions. Signal generation is based on an Adjusted Weighted Majority Algorithm, filtering out weaker signals by prioritizing the most reliable market indicators. Market overlays, such as Volatility Bands and the Retracement Wave, provide dynamic support, resistance, exit points, and entry points. Its adaptable structure allows traders to customize settings based on strategy preferences, making it effective for scalping, swing trading, and long-term trend analysis.
The SFX Screener’s purpose is to give traders a dashboard view of these SFX Algo signals across multiple tickers and timeframes in real-time.
📌 HOW DOES IT WORK ?
The SFX Algo indicator employs an Adjusted Weighted Majority algorithm to generate "buy" and "sell" signals. It evaluates multiple market indicators ("experts"), including momentum, ATR trends, and EMA trends, and assigns weights based on their recent performance. The "Time Weighting" setting allows users to balance between using more historical data or prioritizing recent trends. Unlike traditional weighted majority methods, SFX also dynamically penalizes larger losses. Signals are confirmed based on the consensus of the most successful indicators within the selected time period, filtering out weaker signals during underperforming phases.
The SFX Screener extracts these calculated outputs and visually organizes them into a real-time dashboard. Each signal, status, and volatility condition displayed in the screener is a direct output from the SFX Algo indicator.
🚩 UNIQUENESS
Unlike traditional screeners that rely on preset filters or static conditions, the SFX Screener dynamically updates its dashboard based on live outputs from the SFX Algo’s adaptive algorithm.
Traditional Screeners → Use predefined filters like “price above EMA” or “RSI overbought.” They do not adjust to market dynamics.
SFX Screener → Displays outputs directly from an adaptive algorithm that continuously evaluates trends, volatility, and momentum changes.
The SFX Screener can show SFX Algo's status on 8 different tickers on different timeframes. Key factors that make it unique include:
✅ Real-time sync with SFX Algo → Displays live conditions, not static filters.
✅ Comprehensive Dashboard – This screener provides a complete and customizable dashboard designed to enhance traders' decision-making by consolidating crucial SFX Algo insights into one user-friendly interface.
✅ Multi-Ticker & Multi-Timeframe Analysis – With support for up to 8 tickers and timeframes, traders can effortlessly analyze the bigger market picture, identifying trends and opportunities across different assets and timeframes.
By combining multiple analytical elements in a single view, this screener empowers traders with the insights needed to navigate the market more effectively.
🎯 SFX SCREENER FEATURES:
SFX Algo Signals : This tool can detect SFX Algo signals across different tickers & timeframes.
Volatility Bands : Detection of Volatility Bands Status & Retests.
Retracement Wave : Detection of Retracement Wave Status & Retests.
Highly Configurable : Offers multiple parameters for fine-tuning detection settings.
Up to 8 Tickers : Allows traders to analyze multiple tickers & timeframes simultaneously for enhanced accuracy.
📊 SFX SCREENER DATA BREAKDOWN
Signal ->
Buy -> The latest signal is a buy signal.
Sell -> The latest signal is a sell signal.
The rating of the signal is shown after the signal type.
Δ⭐ ->
Shows the rating change (delta) after the signal is triggered. Positive values mean that the rating is increased after the signal is given, negative values mean that it's decreased.
Status ->
Displays the amount of time passed after the signal is given.
TP Targets ->
Shows the Take-Profit targets of the signal, if a target was achieved, there is a ✅ symbol near it and the next target it displayed.
V. Bands ->
The Volatility Bands dynamically adjust to market conditions, expanding during high volatility and contracting during low volatility. When the volatility bands are tight, or the upper and lower bands are close to each other, the market is not volatile. During periods of low volatility, it’s common for price to consolidate or move sideways. An early indication of a large price move can occur when the bands widen or open up after being tight. When the volatility bands are wide, it reflects a period of increased volatility, typically during strong price trends or after a breakout. The volatility bands can also act as support and resistance areas. The upper band acts as resistance while the lower band acts as support. These mark out good areas for potential reversals. Breakouts can also occur when price moves beyond the bands, signaling a potential trend in the breakout direction.
Outside -> The price is currently outside of the Volatility Bands.
Inside | Upper -> The price is currently inside the Upper Volatility Band.
Inside | Lower -> The price is currently inside the Lower Volatility Band.
R. Wave ->
The Retracement Wave is used to identify entry points during pullbacks in trending markets. It can also be used to find exit points for open trades. The wave is bullish when price is above it and bearish when the price is below it. The retracement wave can be used as an area to enter during a pullback in a trending market. The wave can also be helpful for managing risk and closing out positions.
Outside | Bullish -> The Retracement Wave is currently Bullish, and the price is outside of it.
Outside | Bearish -> The Retracement Wave is currently Bearish, and the price is outside of it.
Inside | Bullish -> The Retracement Wave is currently Bullish, and the price is inside of it.
Inside | Bearish -> The Retracement Wave is currently Bearish, and the price is inside of it.
Profit & Loss (P&L) ->
Shows the amount of profit or loss the position is currently in. All values are shown in terms of percentage, and positive values mean the position is in profit while negative values mean that the position is in loss.
⚠ Timeframe Restriction : The selected timeframes for analysis cannot be lower than the chart’s current timeframe to ensure proper data alignment.
⏰ ALERTS
This screener supports alerts, so you never miss a key market move. You can choose to receive alerts when a buy or sell signal is given, helping you spot potential trading opportunities. Additionally, you can enable alerts for take-profit or stop-loss levels, which notify you when the price achieves those levels. The alerts will work for each enabled ticker in the settings. You can also toggle webhook format for alerts, and choose to include ticker metadata in it.
⚙️ SETTINGS
1. Algorithm Settings
Sensitivity: The sensitivity setting is a key parameter that influences the frequency of signals the SFX Algo generates. By adjusting this parameter, you can control the frequency of signals produced by the algorithm. Using a lower sensitivity setting generates more frequent signals that are highly responsive to minor price fluctuations. Using a higher sensitivity setting reduces the frequency of signals, focusing on more significant price movements and filtering out minor fluctuations.
Signal Strength: The Signal Strength setting filters signals based on their quality, allowing traders to focus on the most reliable opportunities. This feature helps traders balance the quantity and reliability of the algorithm’s signals to suit their trading strategy. Using a lower signal strength will display more signals, including those with lower signal ratings, for broader market coverage. Using a higher signal strength will display fewer signals by prioritizing those with higher signal ratings, reducing market noise.
Time Weighting: The Time Weighting setting in the SFX Algo determines how historical market data is analyzed to generate signals.
a) Recent Trends
Focuses on the most recent movements for short-term analysis. This setting is good for scalpers and intraday traders who need to react quickly to market changes.
b) Mixed Trends
Balances recent and historical price movements for a comprehensive market view. This setting is well-suited for swing traders and those who want to capture medium-term opportunities by combining the benefits of short-term responsiveness with the reliability of long-term trends.
c) Long-term Trends
Relies on extended historical market data to identify broader market trends, making it an excellent choice for traders focused on long-term strategies.
Minimum Star Rating : The Minimum Star Rating setting allows you to filter signals based on their strength, showing only those that meet or exceed your chosen threshold. For instance, setting the minimum star rating to 3 ensures you only receive signals with a rating of 3 stars or higher.
2. Take Profit / Stop Loss Methods
Key Levels
The Key Levels method uses pivot points to set take profit and stop-loss levels. The TP and SL levels are shown when a new signal is generated.
Volatility Bands
This TP/SL method uses the Volatility Bands overlay to set dynamic TP and SL levels. These levels are not predetermined so they will not be shown in advance when a signal is generated.
Signal Rating
Sets take profit and stop-loss levels based on changes in a signal's rating strength. These levels are not predetermined so they will not be shown in advance when a signal is generated.
Auto Stop-Loss
The auto method can only be applied to the SL. The auto method allows the algorithm to detect SL automatically when a momentum shift is detected. You can adjust the risk tolerance of the Auto SL by adjusting the ‘Auto Risk Tolerance’ setting. You can choose between Low, Medium, and High. A high-risk tolerance will result in stop losses being triggered less often.
3. Tickers
You can set, then enable or disable up to 8 tickers in this section to get informed about their latest SFX Algo signal.
‼️ Important Notes
TradingView has limitations when running advanced screeners, resulting in the following restrictions:
Computation Errors:
The computation of using MTF features and viewing several tickers is very intensive on TradingView. This can sometimes cause calculation timeouts. When this occurs simply force the recalculation by modifying one indicator’s settings or by removing the indicator and adding it to your chart again.
Inconsistencies:
You may notice inconsistencies when viewing the screener on a chart with a specific symbol because screener tickers originate from different markets. Since the cryptocurrency market operates 24/7, while stock markets have defined opening and closing hours, the screener may return varying information depending on whether you're currently viewing a cryptocurrency, stock, or currency pair.
Breakout indicatorThis indicator helps traders identify potential breakout levels based on the highest high and lowest low of the last N candles, inspired by the classic Turtle Trading strategy. The period (N) is fully customizable, allowing you to adapt it to your trading style. For daily charts, a period between 50 and 100 is recommended.
The indicator dynamically plots horizontal lines representing the highest high and lowest low over the selected period. These lines are updated in real-time as price action evolves. A breakout is confirmed when the price closes above the high line (for a bullish breakout) or below the low line (for a bearish breakout).
Customize the appearance of the lines with options for thickness, color, and style (solid, dotted, or dashed) to suit your chart preferences. Perfect for traders looking to implement a simple yet effective breakout strategy!
Key Features:
Editable period (N) for high/low calculation.
Real-time updates of high/low levels.
Customizable line thickness, color, and style.
Usage:
Use on daily charts for swing trading or position trading.
Combine with other indicators or price action analysis for better confirmation.
Window Seasonality IndicatorThis is a time window seasonal returns indicator. That is, it will provide the mean returns for a given time window based on a given number of lookbacks set by the user. The script finds matching time windows, e.g., 1st week of March going back 5 years or 9:00-10:00 window of every day going 50 days, and then calculates an average return for that window close price with respect to the close price in the immediately preceding time window, e.g. last week of February or 8:00-9:00 close price, respectively.
There are 4 input options:
1) Historical Periods to Average: Set the number of matching historical windows with which to calculate an average price. The max is 730 lookback windows. Note: for monthly or weekly windows, setting too large a number will cause the script to error out.
2) Use Open Price: calculates the seasonal returns using the open price rather than close price.
3) Show Bands: select from 1 Gaussian standard deviation or a nonparamateric ranked confidence interval. As a rough heuristic, the Gaussian band requires at least 30 lookback periods, and the ranked confidence interval requires 50 or more.
4) Upper Percentile: set the upper cutoff for ranked confidence interval.
5) Lower Percentile: set the lower cutoff for ranked confidence interval.
Please be aware, this indicator does not use rigorous statistical methodology and does not imply predictive power. You'll notice the range bands are very wide. Do not trade solely based on this indicator! Certain time windows, such as weekly and monthly, will make more sense applied to commodities, where annual cycles play a role in its supply and demand dynamics. Hourly windows are more useful in looking at equities markets. I like to look at equities with 1-hr windows to see if there is some pattern to overnight behavior or for market open and close.
