Multi-Timeframe VWAPShows the Daily, Weekly, Monthly, Quarterly, and Yearly VWAP.
Also shows the previous closing VWAP, which is usually very near the HLC3 standard pivot for the previous time frame. i.e. The previous daily VWAP closing price is usually near the current Daily Pivot. Tickers interact well with the previous Daily and Weekly closing VWAP.
Enabling the STDEV bands shows 3 separate standard deviation levels, defaulted at 1, 2, and 3. The lookback period for the bands is always changing with each new bar, since the standard deviation is calculated from the current bar to the beginning of the period. This is different from bollinger bands, as the lookback is constant (usually 20 periods is the textbook default).
The STDEV bands interval of interest can be changed from Day (D), Week (W), Month (M), Quarter (Q), Year (Y).
Tickers tend to bounce very well on Daily, Weekly, and Yearly VWAP (Yes... Year). Use this code and observe the Year VWAP on several major symbols through the past few years and eyes will be opened.
Cerca negli script per "weekly"
Relative Strength of 2 securities - Jayy This is an update of the Relative Strength to index as used by Leaf_West.. 4th from the top. my original RS script is 3rd from the top.
In this use of the term " Relative Strength" (RS) what is meant is a ratio of one security to another.
The RS can be inerpreted in a fashion similar to price action on a regual security chart.
If you follow his methods be aware of the different moving averages for the different time periods.
From Leaf_West: "on my weekly and monthly R/S charts, I include a 13 EMA of the R/S (brown dash line) and
an 8 SMA of the 13 EMA (pink solid line). The indicator on the bottom of the weekly/monthly charts is an
8 period momentum indicator of the R/S line. The red horizontal line is drawn at the zero line.
For daily or 130-minute time periods (or shorter), my R/S charts are slightly different
- the moving averages of the R/S line include a 20EMA (brown dash line), a 50 EMA (blue dash line) and
an 8 SMA of the20 EMA (pink solid line). The momentum indicator is also slightly different from the weekly/monthly
charts – here I use a 12 period calculation (vs 8 SMA period for the weekly/monthly charts)."
Leaf's website has gone but I if you are interested in his methods message me.
What is different from my previous RS: The RS now displays RS candles. So if you prefer to watch price action of candles to
a line chart which only plots the ratio of closes then this will be more interesting to you.
I have also thrown in a few options to have fun with.
Jayy
SuperTrend Oscillator v3Version 3: Improved aesthetically, complete turnaround for the strategy with which to use this indicator.
Once again, thanks to BlindFreddy and ChrisMoody for the bits of code that were assembled into this indicator.
Make the chart yours using the share button for the indicator with barcolors functionality.
Changes from v2 and looking forward: Indicator now uses a 14 length SuperTrend with no ATR multiplier. This my preferred use and I'd be grateful to hear your case for a different length/multiplier. Removed the Bollinger Bands and retracement dots due to these being gimmicky and marginally useful. There may be a version 4 should a similar concept using a rate of change analysis turn out to be useful. I have also tried -in vain- to plot internal trend peaks as horizontal S/R levels. Please pm if you are willing to help in that respect.
Strategy: The indicator will display the trend as a red/green area. It measures the spread between the closing price and the SuperTrend line, much like a CCI (close and ma). When the area contracts warning bars of the opposite trend color will warn of a reversal. When this happens, these areas will either be defended, reviving the trend, or will break, causing a trend flip. SuperTrend is unique in that breaks are typically large candles, and that its levels, especially on Weekly, Daily, Hourly, Minute timeframes, these levels will be defended (think similar to a 200sma or a 21ema). The STO making new highs within (internal) a trend is an overextension sign.
CVX Example: This is not a full analysis of CVX's stock , just an example potential trades. On the posted chart I used a weekly and a daily STO.
Long 1:The weekly showed warnings and then flipped. The daily made a double bottom, showed warnings and then flipped the daily STO at trendline support.
Long 2:The weekly still shows an uptrend, the daily made a weak break to downtrend and reversed back upwards at trendline support, forming a double bottom. Note the conservative exit when the STO made an internal new high.
Long 3: looking forward on CVX stock , the current downtrend made a weak break and is showing sings of reversal (pin bar) at horizontal support. Go long on flip of the daily (conservative) or flip of the hourly (aggressive).
SuperTrend OscillatorVersion 3: Improved aesthetically, complete turnaround for the strategy with which to use this indicator.
Once again, thanks to BlindFreddy and ChrisMoody for the bits of code that were assembled into this indicator.
Make the chart yours using the share button for the indicator with barcolors functionality.
Changes from v2 and looking forward: Indicator now uses a 14 length SuperTrend with no ATR multiplier. This my preferred use and I'd be grateful to hear your case for a different length/multiplier. Removed the Bollinger Bands and retracement dots due to these being gimmicky and marginally useful. There may be a version 4 should a similar concept using a rate of change analysis turn out to be useful. I have also tried -in vain- to plot internal trend peaks as horizontal S/R levels. Please pm if you are willing to help in that respect.
Strategy: The indicator will display the trend as a red/green area. It measures the spread between the closing price and the SuperTrend line, much like a CCI (close and ma). When the area contracts warning bars of the opposite trend color will warn of a reversal. When this happens, these areas will either be defended, reviving the trend, or will break, causing a trend flip. SuperTrend is unique in that breaks are typically large candles, and that its levels, especially on Weekly, Daily, Hourly, Minute timeframes, these levels will be defended (think similar to a 200sma or a 21ema). The STO making new highs within (internal) a trend is an overextension sign.
CVX Example: This is not a full analysis of CVX's stock, just an example potential trades. On the posted chart I used a weekly and a daily STO.
Long 1:The weekly showed warnings and then flipped. The daily made a double bottom, showed warnings and then flipped the daily STO at trendline support.
Long 2:The weekly still shows an uptrend, the daily made a weak break to downtrend and reversed back upwards at trendline support, forming a double bottom. Note the conservative exit when the STO made an internal new high.
Long 3: looking forward on CVX stock, the current downtrend made a weak break and is showing sings of reversal (pin bar) at horizontal support. Go long on flip of the daily (conservative) or flip of the hourly (aggressive).
Momentum of Relative strength to Index Leaf_West styleMomentum of Relative Strength to index as used by Leaf_West. This is to be used with the companion Relative Strength to Index indicator Leaf_West Style. Make sure you use the same index for comparison. If you follow his methods be aware of the different moving averages for the different time periods. From Leaf_West: "on my weekly and monthly R/S charts, I include a 13 EMA of the R/S (brown dash line) and an 8 SMA of the 13 EMA (pink solid line). The indicator on the bottom of the weekly/monthly charts is an 8 period momentum indicator of the R/S line. The red horizontal line is drawn at the zero line.
For daily or 130-minute time periods (or shorter), my R/S charts are slightly different - the moving averages of the R/S line include a 20EMA (brown dash line), a 50 EMA (blue dash line) and an 8 SMA of the20 EMA (pink solid line). The momentum indicator is also slightly different from the weekly/monthly charts – here I use a 12 period calculation (vs 8 SMA period for the weekly/monthly charts)." Leaf's methods do evolve and so watch for any changes to the preferred MAs etc..
Relative strength to Index set up as per Leaf_WestRelative Strength to index as used by Leaf_West. If you follow his methods be aware of the different moving averages for the different time periods. From Leaf_West: "on my weekly and monthly R/S charts, I include a 13 EMA of the R/S (brown dash line) and an 8 SMA of the 13 EMA (pink solid line). The indicator on the bottom of the weekly/monthly charts is an 8 period momentum indicator of the R/S line. The red horizontal line is drawn at the zero line.
For daily or 130-minute time periods (or shorter), my R/S charts are slightly different - the moving averages of the R/S line include a 20EMA (brown dash line), a 50 EMA (blue dash line) and an 8 SMA of the20 EMA (pink solid line). The momentum indicator is also slightly different from the weekly/monthly charts – here I use a 12 period calculation (vs 8 SMA period for the weekly/monthly charts)." Leaf's methods do evolve and so watch for any changes to the preferred MAs etc..
CM_Pivot Points Daily To IntradayNew Pivots Indicator With Options for Daily, 4 Hour, 2 Hour, 1 Hour, 30 Minute Pivot Levels!
Great for Forex Traders! - Take a Look at Chart with Weekly, Daily, and 4 Hour levels. Weekly Pivots Indicator is separate - Link is Below.
Plot one Pivot Level or Multiple at the Same Time via Check Boxes in the Inputs tab.
Defaults to 4 Hour Pivot Levels - Adjust in Inputs Tab.
S3 and R3 are turned off by Default - You can Activate Them In The Inputs Tab.
These Intraday Options were Requested By Users Using My CM_ Pivots Point Custom Indicator that Plots Daily, Weekly, Monthly, Quarterly, and Yearly Pivot Levels. Link is Below.
Now Both Longer-Term Traders and Shorter Term Traders Have All The Pivot Levels They Need. From Yearly Levels All The Way Down to 30 Minute Levels!
***The Candles On The Chart Are Custom Heikin-Ashi Paint Bars. Link is Below
CM_ Pivot Points Custom
Daily, Weekly, Monthly, Quarterly, Yearly Pivot Levels
Heikin-Ashi Paint Bars
CM_Pivot Points_CustomCustom Pivots Indicator - Plots Yearly, Quarterly, Monthly, Weekly, and Daily Levels.
I created this indicator because when you have multiple Pivots on one chart (For Example The Monthly, Weekly, And Daily Pivots), the only way to know exactly what pivot level your looking at is to color ALL S1 Pivots the same color, but create the plot types to look different. For example S1 = Bright Green with Daily being small circles, weekly being bigger circles, and monthly being even bigger crosses for example. This allows you to visually know exactly what pivot levels your looking at…Instantly without thinking. This indicator allows you to Choose any clor you want for any Pivot Level, and Choose The Plot Type.
DCA Investment Tracker Pro [tradeviZion]DCA Investment Tracker Pro: Educational DCA Analysis Tool
An educational indicator that helps analyze Dollar-Cost Averaging strategies by comparing actual performance with historical data calculations.
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💡 Why I Created This Indicator
As someone who practices Dollar-Cost Averaging, I was frustrated with constantly switching between spreadsheets, calculators, and charts just to understand how my investments were really performing. I wanted to see everything in one place - my actual performance, what I should expect based on historical data, and most importantly, visualize where my strategy could take me over the long term .
What really motivated me was watching friends and family underestimate the incredible power of consistent investing. When Napoleon Bonaparte first learned about compound interest, he reportedly exclaimed "I wonder it has not swallowed the world" - and he was right! Yet most people can't visualize how their $500 monthly contributions today could become substantial wealth decades later.
Traditional DCA tracking tools exist, but they share similar limitations:
Require manual data entry and complex spreadsheets
Use fixed assumptions that don't reflect real market behavior
Can't show future projections overlaid on actual price charts
Lose the visual context of what's happening in the market
Make compound growth feel abstract rather than tangible
I wanted to create something different - a tool that automatically analyzes real market history, detects volatility periods, and shows you both current performance AND educational projections based on historical patterns right on your TradingView charts. As Warren Buffett said: "Someone's sitting in the shade today because someone planted a tree a long time ago." This tool helps you visualize your financial tree growing over time.
This isn't just another calculator - it's a visualization tool that makes the magic of compound growth impossible to ignore.
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🎯 What This Indicator Does
This educational indicator provides DCA analysis tools. Users can input investment scenarios to study:
Theoretical Performance: Educational calculations based on historical return data
Comparative Analysis: Study differences between actual and theoretical scenarios
Historical Projections: Theoretical projections for educational analysis (not predictions)
Performance Metrics: CAGR, ROI, and other analytical metrics for study
Historical Analysis: Calculates historical return data for reference purposes
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🚀 Key Features
Volatility-Adjusted Historical Return Calculation
Analyzes 3-20 years of actual price data for any symbol
Automatically detects high-volatility stocks (meme stocks, growth stocks)
Uses median returns for volatile stocks, standard CAGR for stable stocks
Provides conservative estimates when extreme outlier years are detected
Smart fallback to manual percentages when data insufficient
Customizable Performance Dashboard
Educational DCA performance analysis with compound growth calculations
Customizable table sizing (Tiny to Huge text options)
9 positioning options (Top/Middle/Bottom + Left/Center/Right)
Theme-adaptive colors (automatically adjusts to dark/light mode)
Multiple display layout options
Future Projection System
Visual future growth projections
Timeframe-aware calculations (Daily/Weekly/Monthly charts)
1-30 year projection options
Shows projected portfolio value and total investment amounts
Investment Insights
Performance vs benchmark comparison
ROI from initial investment tracking
Monthly average return analysis
Investment milestone alerts (25%, 50%, 100% gains)
Contribution tracking and next milestone indicators
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📊 Step-by-Step Setup Guide
1. Investment Settings 💰
Initial Investment: Enter your starting lump sum (e.g., $60,000)
Monthly Contribution: Set your regular DCA amount (e.g., $500/month)
Return Calculation: Choose "Auto (Stock History)" for real data or "Manual" for fixed %
Historical Period: Select 3-20 years for auto calculations (default: 10 years)
Start Year: When you began investing (e.g., 2020)
Current Portfolio Value: Your actual portfolio worth today (e.g., $150,000)
2. Display Settings 📊
Table Sizes: Choose from Tiny, Small, Normal, Large, or Huge
Table Positions: 9 options - Top/Middle/Bottom + Left/Center/Right
Visibility Toggles: Show/hide Main Table and Stats Table independently
3. Future Projection 🔮
Enable Projections: Toggle on to see future growth visualization
Projection Years: Set 1-30 years ahead for analysis
Live Example - NASDAQ:META Analysis:
Settings shown: $60K initial + $500/month + Auto calculation + 10-year history + 2020 start + $150K current value
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🔬 Pine Script Code Examples
Core DCA Calculations:
// Calculate total invested over time
months_elapsed = (year - start_year) * 12 + month - 1
total_invested = initial_investment + (monthly_contribution * months_elapsed)
// Compound growth formula for initial investment
theoretical_initial_growth = initial_investment * math.pow(1 + annual_return, years_elapsed)
// Future Value of Annuity for monthly contributions
monthly_rate = annual_return / 12
fv_contributions = monthly_contribution * ((math.pow(1 + monthly_rate, months_elapsed) - 1) / monthly_rate)
// Total expected value
theoretical_total = theoretical_initial_growth + fv_contributions
Volatility Detection Logic:
// Detect extreme years for volatility adjustment
extreme_years = 0
for i = 1 to historical_years
yearly_return = ((price_current / price_i_years_ago) - 1) * 100
if yearly_return > 100 or yearly_return < -50
extreme_years += 1
// Use median approach for high volatility stocks
high_volatility = (extreme_years / historical_years) > 0.2
calculated_return = high_volatility ? median_of_returns : standard_cagr
Performance Metrics:
// Calculate key performance indicators
absolute_gain = actual_value - total_invested
total_return_pct = (absolute_gain / total_invested) * 100
roi_initial = ((actual_value - initial_investment) / initial_investment) * 100
cagr = (math.pow(actual_value / initial_investment, 1 / years_elapsed) - 1) * 100
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📊 Real-World Examples
See the indicator in action across different investment types:
Stable Index Investments:
AMEX:SPY (SPDR S&P 500) - Shows steady compound growth with standard CAGR calculations
Classic DCA success story: $60K initial + $500/month starting 2020. The indicator shows SPY's historical 10%+ returns, demonstrating how consistent broad market investing builds wealth over time. Notice the smooth theoretical growth line vs actual performance tracking.
MIL:VUAA (Vanguard S&P 500 UCITS) - Shows both data limitation and solution approaches
Data limitation example: VUAA shows "Manual (Auto Failed)" and "No Data" when default 10-year historical setting exceeds available data. The indicator gracefully falls back to manual percentage input while maintaining all DCA calculations and projections.
MIL:VUAA (Vanguard S&P 500 UCITS) - European ETF with successful 5-year auto calculation
Solution demonstration: By adjusting historical period to 5 years (matching available data), VUAA auto calculation works perfectly. Shows how users can optimize settings for newer assets. European market exposure with EUR denomination, demonstrating DCA effectiveness across different markets and currencies.
NYSE:BRK.B (Berkshire Hathaway) - Quality value investment with Warren Buffett's proven track record
Value investing approach: Berkshire Hathaway's legendary performance through DCA lens. The indicator demonstrates how quality companies compound wealth over decades. Lower volatility than tech stocks = standard CAGR calculations used.
High-Volatility Growth Stocks:
NASDAQ:NVDA (NVIDIA Corporation) - Demonstrates volatility-adjusted calculations for extreme price swings
High-volatility example: NVIDIA's explosive AI boom creates extreme years that trigger volatility detection. The indicator automatically switches to "Median (High Vol): 50%" calculations for conservative projections, protecting against unrealistic future estimates based on outlier performance periods.
NASDAQ:TSLA (Tesla) - Shows how 10-year analysis can stabilize volatile tech stocks
Stable long-term growth: Despite Tesla's reputation for volatility, the 10-year historical analysis (34.8% CAGR) shows consistent enough performance that volatility detection doesn't trigger. Demonstrates how longer timeframes can smooth out extreme periods for more reliable projections.
NASDAQ:META (Meta Platforms) - Shows stable tech stock analysis using standard CAGR calculations
Tech stock with stable growth: Despite being a tech stock and experiencing the 2022 crash, META's 10-year history shows consistent enough performance (23.98% CAGR) that volatility detection doesn't trigger. The indicator uses standard CAGR calculations, demonstrating how not all tech stocks require conservative median adjustments.
Notice how the indicator automatically detects high-volatility periods and switches to median-based calculations for more conservative projections, while stable investments use standard CAGR methods.
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📈 Performance Metrics Explained
Current Portfolio Value: Your actual investment worth today
Expected Value: What you should have based on historical returns (Auto) or your target return (Manual)
Total Invested: Your actual money invested (initial + all monthly contributions)
Total Gains/Loss: Absolute dollar difference between current value and total invested
Total Return %: Percentage gain/loss on your total invested amount
ROI from Initial Investment: How your starting lump sum has performed
CAGR: Compound Annual Growth Rate of your initial investment (Note: This shows initial investment performance, not full DCA strategy)
vs Benchmark: How you're performing compared to the expected returns
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⚠️ Important Notes & Limitations
Data Requirements: Auto mode requires sufficient historical data (minimum 3 years recommended)
CAGR Limitation: CAGR calculation is based on initial investment growth only, not the complete DCA strategy
Projection Accuracy: Future projections are theoretical and based on historical returns - actual results may vary
Timeframe Support: Works ONLY on Daily (1D), Weekly (1W), and Monthly (1M) charts - no other timeframes supported
Update Frequency: Update "Current Portfolio Value" regularly for accurate tracking
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📚 Educational Use & Disclaimer
This analysis tool can be applied to various stock and ETF charts for educational study of DCA mathematical concepts and historical performance patterns.
Study Examples: Can be used with symbols like AMEX:SPY , NASDAQ:QQQ , AMEX:VTI , NASDAQ:AAPL , NASDAQ:MSFT , NASDAQ:GOOGL , NASDAQ:AMZN , NASDAQ:TSLA , NASDAQ:NVDA for learning purposes.
EDUCATIONAL DISCLAIMER: This indicator is a study tool for analyzing Dollar-Cost Averaging strategies. It does not provide investment advice, trading signals, or guarantees. All calculations are theoretical examples for educational purposes only. Past performance does not predict future results. Users should conduct their own research and consult qualified financial professionals before making any investment decisions.
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© 2025 TradeVizion. All rights reserved.
QTN | Money CirculatingQTN | Money Circulating | VWAP-based turnover Multi Time Frames
This indicator visualizes real money flow in a stock by calculating the turnover (trading value) using volume multiplied by VWAP across daily, weekly, and monthly timeframes. It applies EMA smoothing to provide a clearer trend of money circulating in the market.
Features:
• VWAP-based turnover calculation for more accurate money flow measurement.
• EMA smoothing with customizable period.
• Table display of daily, weekly, and monthly turnover values in millions (M) for quick reference.
• Clean, color-coded visualization for easy interpretation.
Usage:
Ideal for traders and investors who want to gauge market participation intensity and detect shifts in trading momentum across multiple timeframes.
________________________________________________
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Trading involves risk, and users should conduct their own research or consult with a financial advisor before making investment decisions. The author is not responsible for any trading losses.
NDOG & NWOG Indicatorndicator automatically identifies and displays New Day Opening Gaps (NDOG) and New Week Opening Gaps (NWOG) directly on your chart. It focuses on gaps based on specific session times in the New York (NY) timezone.
Key Features:
NDOG: Identifies the gap between the NY 4:59 PM (daily close) and the NY 6:00 PM (daily open).
NWOG: Identifies the gap between the Friday NY 4:59 PM (weekly close) and the Sunday NY 6:00 PM (weekly open).
Draws customizable lines for the high and low levels of each gap.
Option to show an additional mid-level line for each gap.
Includes options for line colors, styles, and width.
Allows filtering gaps by a minimum size.
Control the maximum number of recent NDOGs and NWOGs displayed.
Optionally shows text labels on the lines and a summary table on the chart.
This tool can help traders visualize potential areas of interest related to these specific opening gaps.
Note: Calculations are based on the "America/New_York" timezone.
Disclaimer: Trading involves risk and may not be suitable for all investors. This indicator is provided for informational and educational purposes only and does not constitute financial advice or a recommendation to trade. Use at your own risk.
Key Levels with Alerts
Introducing the "Key Levels with Alerts" Indicator
This powerful and fully customizable indicator for the TradingView platform helps you easily identify and monitor crucial **daily, weekly, and monthly price levels** directly on your chart. Beyond just visual representation, the indicator offers advanced alert capabilities to notify you of any price breaks at these significant areas.
Key Levels Identified by the Indicator
This indicator calculates and displays six vital price levels based on the previous day's, week's, and month's closed candles:
1. **PDH (Previous Day High):** The highest price of the previous day.
2. **PDL (Previous Day Low):** The lowest price of the previous day.
3. **PWH (Previous Week High):** The highest price of the previous week.
4. **PWL (Previous Week Low):** The lowest price of the previous week.
5. **PMH (Previous Month High):** The highest price of the previous month.
6. **PML (Previous Month Low):** The lowest price of the previous month.
Core Features
* **Visual Line Display:** Each of these six levels is plotted as a **horizontal line** on your chart. These lines start from the current candle and extend forward for a specified number of candles (defaulting to 20 candles).
* **Complete Style Customization:** For every level (PDH, PDL, PWH, PWL, PMH, PML), you can **independently customize** the line's color, width, and style (solid, dashed, dotted) directly through the indicator's settings. This feature allows you to easily differentiate between the various levels.
* **Toggleable Labels:** You can choose whether to display text labels like "PDH", "PDL", "PWH", "PWL", "PMH", "PML" at the end of each line. The style of these labels will also automatically match their corresponding line colors.
* **Line Visibility Control:** Beyond just labels, you can also independently **show or hide the lines themselves** for PDH, PDL, PWH, PWL, PMH, and PML.
* **Price Break Alerts:** This is one of the indicator's most important features. You can set up alerts for each of these levels:
* **PDH Break Alert:** Triggers when the price moves above the **Previous Day High**.
* **PDL Break Alert:** Triggers when the price moves below the **Previous Day Low**.
* **PWH Break Alert:** Triggers when the price moves above the **Previous Week High**.
* **PWL Break Alert:** Triggers when the price moves below the **Previous Week Low**.
* **PMH Break Alert:** Triggers when the price moves above the **Previous Month High**.
* **PML Break Alert:** Triggers when the price moves below the **Previous Month Low**.
* **Clear Alert Messages:** Each alert message includes the **symbol or ticker name** (e.g., ` `) so you can quickly identify which asset the alert pertains to and which level has been broken.
* **Enable/Disable Alerts:** You have the flexibility to enable or disable each PDH, PDL, PWH, PWL, PMH, and PML alert independently via the indicator's settings.
Why This Indicator Is Useful
Daily, weekly, and monthly High and Low levels often act as **key support and resistance areas**. Traders use these levels to identify potential entry and exit points, set stop-loss and take-profit targets, and understand overall market sentiment. This indicator, with its clear visualization and timely alerts, helps you effectively leverage this crucial information in your trading strategies.
Golden Triangle Strategy (1H, Setup 1 & 2)🔺 Golden Triangle Strategy – Setup 1 & 2 with Dynamic Trailing Stop (Optimized for 1H Chart)
### 📘 Strategy Summary
This strategy blends **technical pattern recognition** with **volume confirmation** and **dynamic risk management** to capture high-probability breakouts. It features two independent entry setups . More details can be found at thepatternsite.com
I have added intelligent trailing stop that **tightens once a profit threshold is reached**. Please note that this is not mentioned in GoldenTriangle strategy. I just added to capture the profits.
### ✅ Entry Setups
#### **Setup 1 – Golden Triangle Breakout**
* Detects **triangle formations** using recent pivot highs and lows.
* A **bullish breakout** is confirmed when:
* Price **closes above the triangle top**, and
* Price is also **above the 50-period SMA**.
* Entry: At breakout candle close.
* Ideal for early momentum trades after consolidation.
#### **Setup 2 – Price + Volume Confirmation**
* Based on **mean reversion followed by volume surge**:
* Price drops **below the 50 SMA**, then closes **back above it**.
* Requires at least one **"up day"** (current close > previous close).
* Volume must be:
* Above its 50-SMA, **and**
* Higher than each of the **previous 4 days**.
* Entry: At the close of volume-confirmation day.
* Useful when triangle patterns are not clear, but accumulation is strong.
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### 📈 Entry Logic Recap
| Condition | Setup 1 | Setup 2 |
| ------------------ | --------------------- | --------------------------------------- |
| Pattern | Triangle Breakout | SMA Reclaim + Volume Surge |
| SMA Filter | Close > 50 SMA | Price drops < 50 SMA, then closes above |
| Volume Requirement | Not Required | > Volume SMA + > last 4 bars |
| Entry Trigger | Breakout candle close | After volume confirmation |
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### 🚪 Exit Strategy
#### 🔁 **Trailing Stop Loss (TSL)**
* **Initial stop:** 10% below the **highest price reached** after entry.
* **Tightening rule:**
* When profit reaches **10%**, the trailing stop is **tightened to 5%**.
* This keeps you in the trade while locking in more profit as the trade moves in your favor.
#### 🔻 **Manual Close**
* If the price drops below the trailing stop, the position is automatically closed using `strategy.close()`.
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### 🌈 Visual Aids & Additions
* Green background shading while in a trade.
* Real-time dashboard showing:
* SMA values
* Entry signals
* Plots for:
* Dynamic trailing stop
* Weekly Fibonacci R3 and S3 levels as outer support/resistance zones.
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### 🧠 Ideal Use Cases
* Works well on **1-hour charts** for intraday to short swing trades.
* Especially effective in **sideways-to-bullish markets**.
* Helps avoid false breakouts by using SMA and volume filters.
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Tip: I also showed weekly R3 on the chart. When the price touches at this level lock your profits. You Dont have to wait until price hits trailing stop loss.
warning : This strategy is published educational purposes only.
AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system.
✅ When to Use This Strategy
• Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W).
• Best used on uptrending assets like Gold.
• Designed for swing trading – holding trades from a few days to weeks.
📊 How It Works
1. Find the Trend
We only want to trade in the direction of the trend.
• The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend.
• If the price is above the 200 EMA, we consider it an uptrend and allow long trades.
2. Identify Breakout Levels
• The strategy detects recent high and low pivot points to draw Fibonacci extension levels.
• It focuses on the 1.618 Fibonacci level, which is often a target in strong trends.
• When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy.
3. Enter a Trade
• The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA).
4. Manage Risk Automatically
• The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops.
• It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks.
⚠️ Important Notes
• 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD).
• 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
CommonUtils█ OVERVIEW
This library is a utility tool for Pine Script™ developers. It provides a collection of helper functions designed to simplify common tasks such as mapping user-friendly string inputs to Pine Script™ constants and formatting timeframe strings for display. The primary goal is to make main scripts cleaner, more readable, and reduce repetitive boilerplate code. It is envisioned as an evolving resource, with potential for new utilities to be added over time based on community needs and feedback.
█ CONCEPTS
The library primarily focuses on two main concepts:
Input Mapping
Pine Script™ often requires specific constants for function parameters (e.g., `line.style_dashed` for line styles, `position.top_center` for table positions). However, presenting these technical constants directly to users in script inputs can be confusing. Input mapping involves:
Allowing users to select options from more descriptive, human-readable strings (e.g., "Dashed", "Top Center") in the script's settings.
Providing functions within this library (e.g., `mapLineStyle`, `mapTablePosition`) that take these user-friendly strings as input.
Internally, these functions use switch statements or similar logic to convert (map) the input string to the corresponding Pine Script™ constant required by built-in functions.
This approach enhances user experience and simplifies the main script's logic by centralizing the mapping process.
Timeframe Formatting
Raw timeframe strings obtained from variables like `timeframe.period` (e.g., "1", "60", "D", "W") or user inputs are not always ideal for direct display in labels or panels. The `formatTimeframe` function addresses this by:
Taking a raw timeframe string as input.
Parsing this string to identify its numerical part and unit (e.g., minutes, hours, days, weeks, months, seconds, milliseconds).
Converting it into a more standardized and readable format (e.g., "1min", "60min", "Daily", "Weekly", "1s", "10M").
Offering an optional `customSuffix` parameter (e.g., " FVG", " Period") to append to the formatted string, making labels more descriptive, especially in multi-timeframe contexts.
The function is designed to correctly interpret various common timeframe notations used in TradingView.
█ NOTES
Ease of Use: The library functions are designed with simple and understandable signatures. They typically take a string input and return the corresponding Pine Script™ constant or a formatted string.
Default Behaviors: Mapping functions (`mapLineStyle`, `mapTablePosition`, `mapTextSize`) generally return a sensible default value (e.g., `line.style_solid` for `mapLineStyle`) in case of a non-matching input. This helps prevent errors in the main script.
Extensibility of Formatting: The `formatTimeframe` function, with its `customSuffix` parameter, allows for flexible customization of timeframe labels to suit the specific descriptive needs of different indicators or contexts.
Performance Considerations: These utility functions primarily use basic string operations and switch statements. For typical use cases, their impact on overall script performance is negligible. However, if a function like `formatTimeframe` were to be called excessively in a loop with dynamic inputs (which is generally not its intended use), performance should be monitored.
No Dependencies: This library is self-contained and does not depend on any other external Pine Script™ libraries.
█ EXPORTED FUNCTIONS
mapLineStyle(styleString)
Maps a user-provided line style string to its corresponding Pine Script™ line style constant.
Parameters:
styleString (simple string) : The input string representing the desired line style (e.g., "Solid", "Dashed", "Dotted" - typically from constants like LS1, LS2, LS3).
Returns: The Pine Script™ constant for the line style (e.g., line.style_solid). Defaults to line.style_solid if no match.
mapTablePosition(positionString)
Maps a user-provided table position string to its corresponding Pine Script™ position constant.
Parameters:
positionString (simple string) : The input string representing the desired table position (e.g., "Top Right", "Top Center" - typically from constants like PP1, PP2).
Returns: The Pine Script™ constant for the table position (e.g., position.top_right). Defaults to position.top_right if no match.
mapTextSize(sizeString)
Maps a user-provided text size string to its corresponding Pine Script™ size constant.
Parameters:
sizeString (simple string) : The input string representing the desired text size (e.g., "Tiny", "Small" - typically from constants like PTS1, PTS2).
Returns: The Pine Script™ constant for the text size (e.g., size.tiny). Defaults to size.small if no match.
formatTimeframe(tfInput, customSuffix)
Formats a raw timeframe string into a more display-friendly string, optionally appending a custom suffix.
Parameters:
tfInput (simple string) : The raw timeframe string from user input or timeframe.period (e.g., "1", "60", "D", "W", "1S", "10M", "2H").
customSuffix (simple string) : An optional suffix to append to the formatted timeframe string (e.g., " FVG", " Period"). Defaults to an empty string.
Returns: The formatted timeframe string (e.g., "1min", "60min", "Daily", "Weekly", "1s", "10min", "2h") with the custom suffix appended.
TrueTrend MaxRThe TrueTrend MaxR indicator is designed to identify the most consistent exponential price trend over extended periods. It uses statistical analysis on log-transformed prices to find the trendline that best fits historical price action, and highlights the most frequently tested or traded level within that trend channel.
For optimal results, especially on high timeframes such as weekly or monthly, it is recommended to use this indicator on charts set to logarithmic scale. This ensures proper visual alignment with the exponential nature of long-term price movements.
How it works
The indicator tests 50 different lookback periods, ranging from 300 to 1280 bars. For each period, it:
- Applies a linear regression on the natural logarithm of the price
- Computes the slope and intercept of the trendline
- Calculates the unbiased standard deviation from the regression line
- Measures the correlation strength using Pearson's R coefficient
The period with the highest Pearson R value is selected, meaning the trendline drawn corresponds to the log-scale trend with the best statistical fit.
Trendline and deviation bands
Once the optimal period is identified, the indicator plots:
- A main log-scale trendline
- Upper and lower bands, based on a user-defined multiple of the standard deviation
These bands help visualize how far price deviates from its core trend, and define the range of typical fluctuations.
Point of Control (POC)
Inside the trend channel, the space between upper and lower bands is divided into 15 logarithmic levels. The script evaluates how often price has interacted with each level, using one of two selectable methods:
- Touches: Counts the number of candles crossing each level
- Volume: Weighs each touch by the traded volume at that candle
The level with the highest cumulative interaction is considered the dynamic Point of Control (POC), and is plotted as a line.
Annualized performance and confidence display
When used on daily or weekly timeframes, the script also calculates the annualized return (CAGR) based on the detected trend, and displays:
- A performance estimate in percentage terms
- A textual label describing the confidence level based on the Pearson R value
Why this indicator is useful
- Automatically detects the most statistically consistent exponential trendline
- Designed for log-scale analysis, suited to long-term investment charts
- Highlights key price levels frequently visited or traded within the trend
- Provides objective, data-based trend and volatility insights
- Displays annualized growth rate and correlation strength for quick evaluation
Notes
- All calculations are performed only on the last bar
- No future data is used, and the script does not repaint
- Works on any instrument or timeframe, with optimal use on higher timeframes and logarithmic scaling
Algo Structure [ValiantTrader_]Explanation of the "Algo Structure" Trading Indicator
This Pine Script indicator, created by ValiantTrader_, is a multi-timeframe swing analysis tool that helps traders identify key price levels and market structure across different timeframes. Here's how it works and how traders can use it:
Core Components
1. Multi-Timeframe Swing Analysis
The indicator tracks swing highs and lows across:
The current chart timeframe
A higher timeframe (weekly by default)
An even higher timeframe (monthly by default)
2. Swing Detection Logic
Current timeframe swings: Identified when price makes a 3-bar high/low pattern
Higher timeframe swings: Uses the highest high/lowest low of the last 3 bars on those timeframes
3. Visual Elements
Horizontal lines marking swing points
Labels showing the timeframe and percentage distance from current price
An information table summarizing key levels
How Traders Use This Indicator
1. Identifying Key Levels
The indicator draws recent swing highs (red) and swing lows (green)
These levels act as potential support/resistance areas
Traders watch for price reactions at these levels
2. Multi-Timeframe Analysis
By seeing swings from higher timeframes (weekly, monthly), traders can:
Identify more significant support/resistance zones
Understand the broader market context
Spot confluence areas where multiple timeframes align
3. Measuring Price Distance
The percentage display shows how far current price is from each swing level
Helps assess potential reward/risk at current levels
Shows volatility between swings (wider % = more volatile moves)
4. Table Summary
The info table provides a quick reference for:
Exact price levels of swings
Percentage ranges between highs and lows
Comparison across timeframes
5. Trading Applications
Breakout trading: When price moves beyond a swing high/low
Mean reversion: Trading bounces between swing levels
Trend confirmation: Higher highs/lows in multiple timeframes confirm trends
Support/resistance trading: Entering trades at swing levels with other confirmation
Customization Options
Traders can adjust:
The higher timeframes analyzed
Whether to show the timeframe labels
Whether to display swing levels
Whether to show the info table
The indicator also includes price alerts for new swing highs/lows on the current timeframe, allowing traders to get notifications when market structure changes.
This tool is particularly valuable for traders who incorporate multi-timeframe analysis into their strategy, helping them visualize important price levels across different time perspectives
Clock&Flow MM+InfoThis script is an indicator that helps you visualize various moving averages directly on the price chart and gain some additional insights.
Here's what it essentially does:
Displays Different Moving Averages: You can choose to see groups of moving averages with different periods, set to nominal cyclical durations. You can also opt to configure them for instruments traded with classic or extended trading hours (great for Futures), and they'll adapt to your chosen timeframe.
Colored Bands: It allows you to add colored bands to the background of the chart that change weekly or daily, helping you visualize time cycles. You can customize the band colors.
Information Table: A small table appears in a corner of the chart, indicating which cycle the moving averages belong to (daily, weekly, monthly, etc.), corresponding to the timeframe you are using on the chart.
Customization: You can easily enable or disable the various groups of moving averages or the colored bands through the indicator's settings.
It's a useful tool for traders who use moving averages to identify trends and support/resistance levels, and who want a quick overview of market cycles.
Questo script è un indicatore che aiuta a visualizzare diverse medie mobili direttamente sul grafico dei prezzi e a ottenere alcune informazioni aggiuntive.
In pratica, fa queste cose:
Mostra diverse medie mobili: Puoi scegliere di vedere gruppi di medie mobili con periodi diversi impostati sulle durate cicliche nominali. Puoi scegliere se impostarle per uno strumento quotato con orario di negoziazione classico o esteso (ottimo per i Futures) e si adattano al tuo timeframe).
Bande colorate: Ti permette di aggiungere delle bande colorate sullo sfondo del grafico che cambiano ogni settimana o ogni giorno, per aiutarti a visualizzare i cicli temporali. Puoi scegliere il colore delle bande.
Tabella informativa: In un angolo del grafico, compare una piccola tabella che indica a quale ciclo appartengono le medie mobili (giornaliero, settimanale, mensile, ecc.) e corrispondono in base al timeframe che stai usando sul grafico.
Personalizzazione: Puoi facilmente attivare o disattivare i vari gruppi di medie mobili o le bande colorate tramite le impostazioni dell'indicatore.
È uno strumento utile per i trader che usano le medie mobili per identificare trend e supporti/resistenze, e che vogliono avere un colpo d'occhio sui cicli di mercato.
IPDA with Order Blocks [Enhanced]Summary of the Code
This script plots IPDA Standard Deviations on a price chart, helping traders visualize potential support and resistance levels based on a series of user-defined deviations. It uses swing high/low points and time-based fractal lookbacks (monthly, weekly, daily, or intraday) to define price anchors and compute deviation lines.
Key features include:
Deviations: It calculates and plots deviation levels based on the distance between swing highs and lows, which traders can use as price targets or zones of interest.
Timeframes:
Monthly (higher timeframe analysis)
Weekly (medium-term analysis)
Daily and Intraday (shorter-term precision)
Customization:
Choose which deviation levels (e.g., 0, 1, -1, -2) to display.
Hide labels or adjust their sizes for cleaner charts.
Option to remove invalidated deviation levels dynamically.
Visual Cleanliness: Automatically removes clutter by hiding or deleting invalid deviation levels and focusing on active price zones.
How to Utilize It for Intraday Trading to Make $1,000
Here’s how to effectively use the indicator to optimize intraday trading:
1. Set the Right Timeframe:
Use the 15-minute or 1-hour chart for intraday setups.
Ensure the "Intraday" lookback option is enabled to focus on shorter-term swings.
2. Interpret the Levels:
Bearish Order Blocks: Look for red lines (bearish deviation) as potential resistance zones where the price may reverse downward.
Bullish Order Blocks: Look for green lines (bullish deviation) as potential support zones where the price may bounce upward.
3. Plan Entries and Exits:
Entry: Buy near a green order block or short near a red order block, confirming the trade with additional signals (e.g., candlestick patterns, momentum indicators).
Stop Loss: Place your stop below the green line (for buys) or above the red line (for shorts).
Profit Targets: Use deviation levels as targets (e.g., from the 0 level to +1 or -1).
4. Combine with Market Context:
Use the script alongside volume profile, trend indicators, or news events for confirmation.
Avoid trading during major news events unless aligned with deviations.
5. Position Sizing for $1,000 Goal:
Trade liquid instruments like Nasdaq futures (NQ) or major forex pairs.
Risk 1-2% of your capital on each trade and scale into positions if confirmed.
Target a profit of 10-20 points per trade on Nasdaq futures, with 1-2 trades daily.
6. Monitor Key Timeframes:
Pre-market (before 9:30 AM EST): Mark deviation levels to predict market open behavior.
Midday & Power Hour (3-4 PM EST): Watch for breakouts or retests around key deviation levels.
By combining this tool with disciplined risk management and a clear trading plan, you can systematically work toward your profit target while minimizing unnecessary risks
Ultimate Scalping Tool[BullByte]Overview
The Ultimate Scalping Tool is an open-source TradingView indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators.
Core Components
Quantum Flux Candle (QFC) Construction
The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own.
Oscillator Normalization & Adaptive Weights
The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale).
Trend/Momentum/Volume/Volatility Fusion
Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength.
Signal Classification
The script interprets the QFC oscillator to label trades. For example:
• Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend.
• Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal.
• Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow.
These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion).
Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX)
Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.)
Dashboard Metrics & Color Logic
The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences.
1. Dashboard Layout & Customization
Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input.
Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input.
Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script.
2. Key Metrics Displayed
The dashboard presents critical trading metrics in a structured table format:
Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) .
Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds.
Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator.
Basic & Advanced Signals:
Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade).
Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts.
RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions.
HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter.
VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it.
ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red).
Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom).
Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**.
3. Filters Status Panel
A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals:
- DI Reversal Filter: On/Off (confirms reversals before generating signals).
- Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility).
- Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility).
- Early Signal: On/Off (enables early momentum-based signals).
- Leading HTF Filter: On/Off (applies higher timeframe trend confirmation).
4. Visual Enhancements
Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation.
Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends.
Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator.
How It(QFC) Differs from Traditional Indicators
Quantum Flux Candle (QFC) Versus Heikin-Ashi
Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart.
Versus Standard Oscillators
Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one.
Signal Style
Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code.
Key Term Definitions
• Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting.
• Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade.
• Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended.
What is the Flux MA?
The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish.
How it’s calculated (Flux MA):
1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0).
2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods).
3.The result is rescaled back to the oscillator’s original range for plotting.
Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts.
Color of the Flux Candle
The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means:
• Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward.
• Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward.
• Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long.
• Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short.
The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions.
How to Trade the Flux MA with Respect to the Candle
Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide:
1. Identify the Trend Direction
• Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum.
• Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum.
The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure.
2. Interpret Candle Colors for Trade Signals
• Green Candle : General bullish momentum. Consider entering or holding a long position.
• Red Candle : General bearish momentum. Consider entering or holding a short position.
• Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade.
• Purple Candle : A strong sell signal. This is an ideal time to enter a short trade.
3. Enter Trades Based on Crossovers and Colors
• Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long.
• Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short.
4. Exit Trades
• Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing.
• Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing.
•You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal).
5. Use Additional Confirmation
To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example:
•A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal.
•A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting.
Practical Example
Imagine you’re scalping a cryptocurrency:
• Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA.
• Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA.
Market Presets and Adaptation
This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type.
Usage Guidelines
• Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings.
• Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs.
• Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability.
• Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger.
• Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands.
Background Shading
To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark):
Neutral (Gray)
When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands.
Bullish (Green)
As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight.
Bearish (Red)
Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30.
By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions.
The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference.
Disclaimer
No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders.
Good luck!
- BullByte
HTF ReversalsHTF Reversals — Big Turtle Soup & Relief Patterns
A multi-timeframe reversal indicator based on the logic of how pivots form and how true reversals begin. Designed for traders who want to catch high-probability turning points on higher timeframes, with visual clarity and actionable signals.
“Reversals don’t start from nowhere — they begin with a failed expansion and a reclaim of a prior range. This script helps you spot those moments, before the crowd.”
How It Works
Detects High Timeframe (HTF) “CR” Candles:
The script scans for large-bodied candles (“CR” candles) on higher timeframes (Monthly, Weekly, 3-Day). These candles often mark the end of a trend expansion and the start of a potential reversal zone.
Looks for “Inside” Candles:
After a CR candle, the script waits for a smaller “inside” candle, which signals a pause or failed continuation. The relationship between the CR and inside candle is key for identifying a possible reversal setup.
Engulfing Confirmation (Optional):
If the inside candle doesn’t immediately trigger a reversal, the script can wait for an engulfing move in the opposite direction, confirming the failed expansion and increasing the probability of a reversal.
Entry & Target Calculation:
For each valid setup, the script calculates a retracement entry (using Fibonacci levels like 0.382 or 0.618) and a logical target (usually the CR candle’s high or low).
Visuals: Lines & Boxes:
Each signal is marked with a horizontal line (entry) and a colored box extending from the HTF close to the entry price, visually highlighting the reversal zone for the same duration as the signal’s expected play-out.
Dashboard & Alerts:
A dashboard table summarizes the latest signals for each timeframe. Custom alerts notify you of new setups in real time.
Why It Works
Pivot Logic:
Reversals often start when a strong expansion candle (pivot) is followed by a failed attempt to continue in the same direction. This script codifies that logic, looking for the “pause” after the expansion and the first sign of a reclaim.
Multi-Timeframe Edge:
By focusing on higher timeframes, the indicator filters out noise and highlights only the most significant reversal opportunities.
Objective, Repeatable Rules:
All conditions are clearly defined and repeatable, removing subjectivity from reversal trading.
Visual Clarity:
The combination of lines and boxes makes it easy to see where reversals are likely to start and where your risk/reward lies.
How to Use
Add the indicator to your chart and select your preferred timeframes (Monthly, Weekly, 3-Day).
Watch for new signals on the dashboard or via alerts.
Use the entry line and box as your trade zone; the target is also displayed.
Combine with your own confluence (price action, volume, etc.) for best results.
This indicator is best used as a framework for understanding where high-probability reversals are likely to occur, not as a standalone buy/sell tool. Always use proper risk management.
Trailing Cumulative Volume DeltaShort Description:
A dynamic volume delta indicator that calculates a trailing sum of net buying/selling pressure over a user-defined number of recent bars, offering a more adaptive view of order flow momentum compared to fixed-anchor CVD.
Overview:
The Trailing Cumulative Volume Delta (TCVD) indicator provides a powerful way to analyze market sentiment by tracking the net difference between buying and selling volume. Unlike traditional Cumulative Volume Delta (CVD) indicators that typically reset at fixed intervals (e.g., daily, weekly), the TCVD calculates a rolling sum of volume delta over a specified number of recent bars. This "trailing" approach offers a more fluid and responsive measure of recent order flow dynamics.
How it Works:
Per-Bar Delta Calculation: For each bar on your chart, the indicator first calculates the net Volume Delta. This is done by looking at a finer, user-configurable Lower Timeframe (e.g., 1-minute data for a 15-minute chart bar) to determine the aggressive buying vs. selling volume within that bar.
Trailing Sum: The indicator then sums these individual per-bar net deltas over a user-defined Trailing Bars lookback period. For example, if "Trailing Bars" is set to 20, the TCVD value will represent the cumulative net delta of the last 20 bars.
Visualization:
The TCVD is plotted in a "MACD-Columns-Style" in a separate pane.
Teal: When the TCVD value is increasing (suggesting growing net buying pressure or diminishing net selling pressure over the trailing period).
Red: When the TCVD value is decreasing (suggesting growing net selling pressure or diminishing net buying pressure over the trailing period).
White: When it is returning to the mean.
How to Interpret and Use TCVD:
Trend Strength & Momentum:
A rising TCVD suggests that, on average over the trailing period, buying pressure is dominant or strengthening. This can confirm bullish price action or indicate underlying strength.
A falling TCVD suggests that selling pressure is dominant or strengthening, potentially confirming bearish price action or indicating weakness.
Divergences:
Unlike other Divergences, the CVD has two different types of Divergences: a) Absorption and b) Exhaustion. You only want to trade the Absorption pattern.
Zero Line Crossovers:
TCVD crossing above the zero line can indicate a shift towards net positive buying pressure over the lookback period.
TCVD crossing below the zero line can indicate a shift towards net positive selling pressure.
Confirmation: Use TCVD to confirm breakouts or breakdowns. A price breakout accompanied by a strongly rising TCVD is generally more reliable.
Key Settings:
Trailing Bars: (Default: 10)
Determines the number of recent bars to include in the cumulative delta sum.
Shorter periods make the TCVD more responsive to immediate changes.
Longer periods provide a smoother, longer-term view of order flow.
Use custom timeframe: (Checkbox, Default: false)
Allows you to override the automatic selection of the lower timeframe for delta calculation.
Timeframe for Delta Calculation: (Default: "1" - 1 minute)
Specifies the lower timeframe data used to calculate the volume delta for each individual chart bar.
Choosing a very fine timeframe (e.g., seconds) can provide high precision but may be limited by data availability or processing load.
If "Use custom timeframe" is unchecked, the script attempts to choose a sensible default based on your chart's timeframe (e.g., "1S" for second charts, "1" for intraday, "5" for daily, "60" for weekly+).
Examples:
Confirming Breakout Strength:
Price breaks out above a significant resistance level.
If the TCVD is also sharply rising and has perhaps crossed above its zero line, it provides confirmation that strong buying interest is fueling the breakout, increasing confidence in its validity.
Important Notes:
This indicator requires reliable volume data from your broker/data feed to function correctly. If your chart does not have volume, or if the volume data is unreliable, the TCVD will not be accurate.
Like all indicators, TCVD is best used as part of a comprehensive trading strategy, in conjunction with price action analysis and other indicators or tools.
Experiment with the Trailing Bars and Timeframe for Delta Calculation settings to find what best suits your trading style, the asset you are analyzing, and the chart timeframe you are using.
Feel free to modify this, add your personal touch, or include specific screenshots when you publish!
50-Week High Entry / 40-Week Low Exit StrategyThis is a simple long term strategy
Entry condition : You will enter the market when the stock’s current high exceeds its 50-week high. This condition enables you to identify upward momentum and capitalize on potential price surges.
Exit condition
Conversely, you will exit the market when the stock’s current low drops below its 40-week low. This exit strategy helps protect your capital by ensuring you withdraw from losing positions before further declines in price occur.
This trading strategy relies on the Donchian Channel indicator to monitor the relevant 50-week high and 40-week low levels. Given that this is a weekly trading strategy, all backtesting will be conducted using weekly timeframes.
