BTC - VDD Multiple (Approx)Overview & Philosophy
โ ๏ธ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
The BTC โ VDD Multiple (Approx) is an advanced oscillator designed to identify market overheating and cycle tops by analyzing the velocity of value moving through the market.
In traditional On-Chain Analysis, Value Days Destroyed (VDD) is a premier metric for spotting macro tops. It multiplies the coin age (how long a coin was held) by the price at which it was moved. When old coins (HODLer money) move at high prices, VDD spikes, signaling massive profit-taking.
The Problem: Real "Coin Days Destroyed" (CDD) data is typically locked behind institutional paywalls or unavailable on standard TradingView plans.
The Solution: This script calculates a Deterministic Proxy. By analyzing the relationship between Exchange Volume, Price, and a Dormancy Constant, we can approximate the structure of the VDD Multiple without needing a premium data feed.
Methodology
The VDD Multiple works by comparing short-term market velocity against a long-term baseline.
1. The Proxy Calculation
Since we cannot directly access the age of coins on TradingView, we model the economic weight of the move:
Proxy Value = Exchange Volume * Price * Dormancy Factor
This creates a synthetic representation of "Value Throughput."
2. The Multiple
We compare the immediate heat of the market against the yearly trend:
โข Short-Term MA (2 Days): Captures flash spikes and sudden liquidity exit events.
โข Long-Term MA (365 Days): Represents the baseline "hum" of network activity.
VDD Multiple = Short Term MA / Long Term MA
How to Read the Chart
The indicator plots the Multiple as a line and uses background highlighting to signal extreme regimes.
๐ด The Red Zone (Overheated > 2.9)
Meaning: Current value transfer is ~3x higher than the yearly average.
Interpretation: Historically, sharp spikes into the Red Zone correlate with Local or Cycle Tops. This indicates that massive volume is changing hands at high pricesโtypically a sign of "Smart Money" distributing into "Dumb Money" FOMO.
Note: In strong bull runs, price can push higher even after a VDD spike, but the risk/reward ratio is extremely poor here.
๐ข The Green Zone (Undervalued < 0.75)
Meaning: Market activity is quiet and below the yearly baseline.
Interpretation: These are periods of apathy or accumulation. Historically, extended time spent in the Green Zone (the "flatline") has offered the best asymmetric buying opportunities.
๐ The Orange Line (Neutral)
Meaning: The market is in transition or equilibrium.
Strategy & Context
This indicator is best used as a Macro Cycle Tool, not a day-trading signal.
โข Exit Strategy: Look for "Clusters" of Red Spikes. A single spike often marks a local correction, but a cluster of intense spikes while price makes new highs (Divergence) is a strong Cycle Top warning.
โข Entry Strategy: Historically the best entries occur when the indicator flattens out in the Green Zone for weeks or months. This suggests sellers are exhausted and the market has reached a floor.
Credits
This script is an approximation of the original VDD Multiple concept. Full credit for the underlying on-chain theory goes to the pioneers of this metric:
โข Concept: The original Value Days Destroyed metric was popularized by Hans Hauge and Glassnode.
โข The Multiple: The specific application of a Short/Long MA Multiple on VDD is widely attributed to analysts like TXMC and Bitbo.
This script adapts these concepts for the free TradingView environment using exchange volume proxies.
Settings
โข Data Source: Defaults to BINANCE:BTCUSDT to capture high-volume liquidity.
โข Short MA: Default is 2 Days to capture rapid velocity spikes.
โข Long MA: Default is 365 Days to track the annual trend.
Disclaimer
This tool is an approximation based on exchange volume, not raw blockchain data. While exchange volume and on-chain volume are highly correlated during cycle extremes, they are not identical. This script is for educational and research purposes only. Past performance does not guarantee future results.
Tags
bitcoin, btc, onchain, vdd, cdd, valuation, cycle, top, bottom, Rob Maths
Cari dalam skrip untuk "chart"
Custom ORBIT GSK-VIZAG-AP-INDIA๐ Custom ORBIT โ Opening Range Breakout & Reversal Indicator
This indicator automatically calculates and plots the Opening Range (OR) high and low levels for a user-defined session and duration. It is designed to assist intraday traders by providing immediate visual signals for both price breakouts and subsequent reversals from these key levels.
The indicator is particularly suitable for markets with defined trading hours, such as the Indian indices (Nifty, Bank Nifty), given its default time settings are based on GMT+5:30.
โ๏ธ How It Works (Indicator Logic)
The indicator operates based on three main logical components: time definition, level calculation, and signal generation.
1. Time Session and Range Definition: All time calculations are based on GMT+5:30 (Indian Standard Time/IST). The script defines a specific trading session from a customizable start time (default 9:15 AM) to a session end time (default 3:30 PM). The Opening Range (OR) is established during the initial duration, which is set by the rangeMinutes input (default 15 minutes, meaning the OR is calculated from 9:15 AM to 9:30 AM).
2. Level Calculation and Plotting: During the initial range duration, the script captures the absolute highest price (OR High) and the absolute lowest price (OR Low). Once this period ends, two horizontal linesโa green line for the OR High and a red line for the OR Lowโare drawn and automatically extended across the chart for the remainder of the active trading session. The visual style of these lines can be customized to Dotted, Dashed, or Solid.
3. Breakout and Reversal Logic: The indicator actively tracks the market's state relative to the OR levels to generate four distinct signals:
Break Up: A signal is generated when the closing price crosses over the OR High, indicating potential upward momentum.
Break Down: A signal is generated when the closing price crosses under the OR Low, indicating potential downward momentum.
Reversal Down: This yellow signal occurs only after a price has already broken above the OR High (Break Up state), and then the price moves back into the range (closing below the ORH), suggesting a failed breakout.
Reversal Up: This yellow signal occurs only after a price has already broken below the OR Low (Break Down state), and then the price moves back into the range (closing above the ORL), suggesting a failed breakdown.
๐ก Suggested Use Cases
The signals generated by this indicator can be used in two primary ways:
Breakout Trading: A trader may enter a long position on a "Break Up" signal or a short position on a "Break Down" signal. A common risk management practice is to use the opposite OR level (ORL for long trades, ORH for short trades) as a stop-loss reference.
Faded Breakout / Reversal Trading: Look for the yellow "Reversal Up" or "Reversal Down" signals. These signals indicate a rejection of the OR level, and a trader may take a counter-trend position with the expectation that the price will return to the consolidation range or move toward the opposite OR level.
โ ๏ธ Educational Disclaimer
This indicator is for educational and illustrative purposes only. It provides technical signals based on mathematical calculation of price action and should not be construed as financial advice, trading advice, or a solicitation to buy or sell any financial instrument. Trading carries a high level of risk, and you may lose more than your initial deposit. Past performance is not indicative of future results. Always consult with a qualified financial professional before making any investment decisions.
Pivot Points High LowGaneshA Pivot Points High/Low indicator that:
Detects swing highs (ta.pivothigh) and swing lows (ta.pivotlow) using configurable left/right bar lengths.
Draws labels at the confirmed pivot points:
Down labels at pivot highs (potential resistance).
Up labels at pivot lows (potential support).
Lets you customize text color and label fill color separately for highs and lows.
Itโs designed for overlay (on-price chart), with max_labels_count=500 to allow many labels.
Smart Money Swing Strategy [All-in-One]# Pro Swing Trader ๐
A comprehensive swing trading indicator for TradingView that combines multiple confluence factors to identify high-probability trade setups with built-in risk management.
## ๐ฏ Overview
This indicator is designed for swing traders who want to catch momentum pullbacks with precision entries. It filters trades using multiple timeframe analysis, RSI zones, volume confirmation, and EMA trends to deliver only the highest-confidence setups.
### Key Features
โ
**Multi-Timeframe Confluence** - Confirms trades with higher timeframe analysis (Daily, 4H, etc.)
โ
**Smart Entry Signals** - Detects pullback-to-EMA reclaim patterns
โ
**Automatic Risk Management** - Calculates stops, targets, and R-multiples
โ
**Dynamic Stop Loss** - ATR trailing stop + break-even automation
โ
**Real-Time HUD Dashboard** - Live confluence scoring and trade metrics
โ
**Comprehensive Alerts** - Entry, TP1, TP2, and stop-loss notifications
โ
**Visual Trade Levels** - Clear on-chart stop-loss and take-profit lines
---
## ๐ How It Works
### Signal Logic
The indicator identifies two types of signals:
**Base Signals** (Small triangles):
- Price pulls back between Fast EMA and Slow EMA
- RSI is in the swing zone (40-60 by default)
- Price reclaims the Fast EMA with momentum
- Optional: Volume spike confirmation
**High-Confidence Signals** (Large triangles):
- All base signal criteria met
- Higher timeframe confirms the trend direction
- HTF RSI and slope alignment
- These are your primary trade signals
### Entry Conditions
#### Long Entry (๐ข HC L)
1. Fast EMA > Slow EMA (uptrend)
2. Previous candle closed between the EMAs (pullback)
3. Current candle crosses above and closes above Fast EMA (reclaim)
4. RSI between 40-60 (swing zone)
5. **HTF Confirmation**: Daily/4H price above EMA50, RSI > 50, positive slope
6. Optional: Volume > 1.5x 20-bar average
#### Short Entry (๐ป HC S)
1. Fast EMA < Slow EMA (downtrend)
2. Previous candle closed between the EMAs (pullback)
3. Current candle crosses below and closes below Fast EMA (reclaim)
4. RSI between 40-60 (swing zone)
5. **HTF Confirmation**: Daily/4H price below EMA50, RSI < 50, negative slope
6. Optional: Volume > 1.5x 20-bar average
---
## ๐๏ธ Settings & Parameters
### Trend Parameters
- **Fast EMA**: Default 20 - Quick trend detection
- **Slow EMA**: Default 50 - Major trend filter
- **Swing Lookback**: Default 10 - Bars to find swing high/low for stops
### RSI Settings
- **RSI Length**: Default 14
- **RSI Min**: Default 40 - Lower bound of swing zone
- **RSI Max**: Default 60 - Upper bound of swing zone
### Risk Management
- **Final TP Risk-Reward (R)**: Default 2.0 - Main profit target multiplier
- **TP1 R Multiple**: Default 1.0 - Partial profit target
- **Use Break-even Stop**: Move stop to entry after 1R profit
- **ATR Trailing Stop**: Dynamic stop based on ATR(14) x 2.0
### Filters
- **Require Volume Spike**: Optional volume confirmation filter
- **Use Higher TF Confirmation**: Enable multi-timeframe analysis
- **Higher TF**: Default "D" (Daily) - Can use 240 (4H), W (Weekly), etc.
---
## ๐ Dashboard (HUD)
The top-center dashboard shows real-time confluence status:
| Column | Meaning |
|--------|---------|
| **Trend** | Current trend direction (UP/DOWN/Flat) |
| **HTF** | Higher timeframe alignment (Bull/Bear/Flat) |
| **RSI Zone** | Is RSI in swing zone? (YES/NO) |
| **Volume** | Volume spike detected? (YES/NO) |
| **Signal** | Active signal type (HC LONG/HC SHORT/None) |
| **R Risk** | Current profit in R-multiples |
| **Stop** | Current stop-loss level |
| **TP1** | Partial take-profit status |
| **TP2** | Final take-profit status |
| **Conf %** | Overall confluence score (0-100%) |
### Confidence Score Breakdown
- **20%** - Trend present (up or down)
- **30%** - HTF confirmation aligned (or 15% if HTF off)
- **20%** - RSI in swing zone
- **10%** - Volume spike
- **20%** - High-confidence signal triggered
**Scoring**:
- ๐ข 70%+ = High probability setup
- ๐ก 40-69% = Moderate setup
- ๐ด <40% = Low probability
---
## ๐ Alert Setup
The indicator includes 8 alert conditions:
### Entry Alerts
- **HC LONG ENTRY** - High-confidence long signal triggered
- **HC SHORT ENTRY** - High-confidence short signal triggered
### Profit Target Alerts
- **LONG TP1 Reached** - Hit partial profit (1R by default)
- **LONG Final TP Reached** - Hit final target (2R by default)
- **SHORT TP1 Reached** - Hit partial profit
- **SHORT Final TP Reached** - Hit final target
### Stop Loss Alerts
- **LONG Stop/BE/Trail Level Hit** - Long position stopped out
- **SHORT Stop/BE/Trail Level Hit** - Short position stopped out
### How to Set Up Alerts
1. Click "Add Alert" on TradingView
2. Choose this indicator from the dropdown
3. Select desired alert condition
4. Set alert to trigger "Once Per Bar Close"
5. Customize notification method (popup/email/webhook)
---
## ๐ Trading Workflow
### 1. Wait for High-Confidence Signal
Look for the large **HC L** or **HC S** triangle on chart close.
### 2. Verify Confluence
Check the HUD dashboard:
- Confidence score should be 70%+
- HTF status should show alignment
- RSI Zone should be "YES"
### 3. Entry
Enter the trade at market or on next candle open.
### 4. Set Stop Loss
Use the **initial stop** shown in the HUD (red line on chart):
- **Longs**: Below the swing low (10-bar lookback)
- **Shorts**: Above the swing high (10-bar lookback)
### 5. Set Take Profits
- **TP1**: 1R (50% position close) - Yellow line
- **TP2**: 2R (remaining 50% close) - Green line
### 6. Manage the Trade
- Monitor the **R Risk** column to track profit
- Stop moves to break-even automatically after 1R (if enabled)
- ATR trailing stop engages dynamically (red line adjusts)
- Exit if price hits dynamic stop level
---
## ๐จ Visual Guide
### On-Chart Elements
**Triangles**:
- Small lime/red triangles = Base signals (lower confidence)
- Large lime/red triangles = High-confidence signals (trade these!)
**Lines**:
- ๐ข Green line = Fast EMA (20)
- ๐ Orange line = Slow EMA (50)
- ๐ด Red line = Dynamic stop-loss level
- ๐ก Yellow line = TP1 level
- ๐ข Green line = TP2 (final target)
**HUD Colors**:
- ๐ข Green = Bullish/Active/Good
- ๐ด Red = Bearish/Inactive/Warning
- ๐ก Yellow = Neutral/Caution
- ๐ต Blue = Informational
- โซ Gray = Disabled/Off
---
## ๐ก Strategy Tips
### Best Practices
1. **Only trade High-Confidence signals** - Ignore base signals unless very experienced
2. **Respect the HTF** - Don't fight the higher timeframe trend
3. **Use proper position sizing** - Risk 1-2% of account per trade
4. **Partial profits work** - Take 50% off at TP1, let rest run to TP2
5. **Let winners run** - Trailing stop helps capture extended moves
6. **Be patient** - Quality over quantity; wait for 70%+ confluence
### Optimal Timeframes
- **Primary Chart**: 1H, 4H, Daily (swing trading)
- **HTF Setting**: One level higher than your chart
- If trading 1H โ Set HTF to 4H or D
- If trading 4H โ Set HTF to D or W
- If trading Daily โ Set HTF to W
### Market Conditions
**Best Performance**:
- Trending markets with healthy pullbacks
- Clear support/resistance zones
- Moderate volatility
**Avoid Trading**:
- Extremely choppy/sideways markets
- Major news events (unless experienced)
- Low confidence scores (<40%)
---
## โ๏ธ Advanced Customization
### Aggressive Setup (More Signals)
```
Fast EMA: 12
Slow EMA: 26
RSI Min: 35
RSI Max: 65
Use HTF Confirmation: OFF
Require Volume Spike: OFF
```
### Conservative Setup (Fewer, Higher Quality)
```
Fast EMA: 20
Slow EMA: 50
RSI Min: 45
RSI Max: 55
Use HTF Confirmation: ON
Require Volume Spike: ON
Final TP R: 3.0
```
### Scalping Adaptation (Not Recommended)
```
Fast EMA: 9
Slow EMA: 21
Swing Lookback: 5
TP1 R: 0.5
Final TP R: 1.0
```
---
## โ ๏ธ Risk Disclaimer
**IMPORTANT**: This indicator is for educational and informational purposes only.
- Past performance does not guarantee future results
- No indicator is 100% accurate
- Always use proper risk management
- Never risk more than you can afford to lose
- Consider using a demo account first
- Seek professional financial advice if needed
Trading involves substantial risk of loss and is not suitable for all investors.
---
## ๐ง Troubleshooting
### "No signals appearing"
- Check if HTF confirmation is enabled but market isn't aligned
- Verify RSI zone isn't too restrictive
- Ensure volume spike isn't filtering out all setups
- Try adjusting EMA lengths for your asset
### "Too many false signals"
- Enable HTF confirmation
- Tighten RSI zone (e.g., 45-55)
- Enable volume spike requirement
- Only trade 70%+ confidence setups
### "Stops too tight/wide"
- Adjust Swing Lookback length
- Modify ATR multiplier for trailing stop
- Consider the asset's volatility
### "Alerts not working"
- Ensure alert is set to "Once Per Bar Close"
- Check indicator is added to the chart
- Verify TradingView notification settings
---
## ๐ Version History
**v1.0 (Current)**
- Initial release
- Multi-timeframe confluence system
- Dynamic risk management
- Real-time HUD dashboard
- Comprehensive alert system
- ATR trailing stops
- Break-even automation
---
## ๐ค Support & Feedback
If you find this indicator helpful:
- โญ Star the script on TradingView
- ๐ฌ Share your results and feedback
- ๐ Report bugs or suggest improvements
- ๐ Share with other traders
---
## ๐ Additional Resources
### Recommended Reading
- "The New Trading for a Living" by Dr. Alexander Elder
- "Swing Trading Using Multiple Timeframes" - Educational articles
- Risk management and position sizing guides
### Learn More About
- Multiple timeframe analysis
- EMA crossover strategies
- RSI divergence and zones
- ATR-based stops
- R-multiple profit management
---
## ๐ License
This indicator is provided as-is for personal trading use.
**Usage Rights**:
- โ
Use for personal trading
- โ
Modify for personal use
- โ Resell or redistribute
- โ Claim as original work
---
## ๐ Quick Start Checklist
- Add indicator to TradingView chart
- Set your preferred timeframe (1H/4H/Daily)
- Configure HTF setting (one level higher)
- Review default parameters
- Set up entry alerts (HC LONG/SHORT)
- Set up TP and SL alerts
- Test on historical data
- Paper trade first
- Start with small position sizes
- Track your results
---
**Happy Trading! ๐๐ฐ**
*Remember: Discipline, patience, and risk management are the keys to long-term success.*
FOMC Sweep Reaction AP Capital โ FOMC Sweep Reaction v1.0
AP Capital โ FOMC Sweep Reaction v1.0 is a news-reaction and liquidity-based trading tool designed specifically to track and trade FOMC volatility on Gold (XAUUSD) and other highly reactive instruments.
The indicator focuses on liquidity sweeps, structure breaks, and EMA reclaims that commonly occur around Federal Reserve interest-rate decisions and Powell speeches, helping traders identify high-probability reversal or continuation moves after the initial spike.
๐ What This Indicator Detects
This tool highlights the most repeatable FOMC behaviours observed across multiple months of broker data:
โข Sweeps of previous dayโs high or low
โข Stop-hunt wicks into liquidity pools
โข EMA13 reclaim after the news spike
โข Break and close beyond short-term structure
โข Momentum shift following volatility exhaustion
The goal is not to predict the news, but to react to confirmed price behaviour after liquidity has been taken.
๐ Core Features
โข FOMC Sweep Detection
Identifies aggressive wicks into prior highs/lows during news volatility
โข EMA Reclaim Confirmation
Uses EMA13 to validate momentum shift after the sweep
โข Market Structure Awareness
Filters reactions that fail to break structure to avoid false reversals
โข Session-Aligned Logic
Designed around London โ NY โ FOMC release timing
โข Clean Visuals
Minimal chart clutter for fast decision-making during volatile conditions
๐ง How to Use
Wait for FOMC release / Powell speech
Allow price to sweep previous liquidity (PDH / PDL / local extremes)
Observe reclaim of EMA13
Enter only after structure confirmation
Manage trade using EMA trailing or structure-based exits
โ ๏ธ This is a reaction system, not a prediction tool.
๐ Best Use Cases
โข XAUUSD (Gold)
โข NASDAQ / US indices
โข High-impact macro news events
โข 5-min to 15-min timeframes
โ ๏ธ Important Notes
โข News volatility is extreme โ risk management is essential
โข Not designed for low-volatility or ranging markets
โข Best combined with a clear trading plan and strict risk rules
๐ Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Trading during high-impact news events involves significant risk.
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME
Density Zones (GM Crossing Clusters) + QHO Spin Flips
OVERVIEW
This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements*
1) Density Zones (GM Crossing Clusters)
A โDensity Zoneโ is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly โsnappingโ across an equilibrium boundaryโhigh churn, high decision pressure, and repeated re-selection of direction.
2) QHO Spin Flips (Regression-Residual ฯ Breaches)
A โSpin Flipโ is detected when price deviates beyond a configurable ฯ-threshold (ฮบ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling.
These two systems are related but not identical:
- Density Zones identify where equilibrium crossings cluster (a โsingularityโ/anchor behavior around GM).
- Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance.
CORE CONCEPTS AND FORMULAS
SECTION A โ GEOMETRIC MEAN EQUILIBRIUM (GM)
We define two moving averages:
(1) MA1_t = SMA(close_t, L1)
(2) MA2_t = SMA(close_t, L2)
We define the equilibrium anchor as the geometric mean of MA1 and MA2:
(3) GM_t = sqrt( MA1_t * MA2_t )
This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high โequilibrium churn.โ
SECTION B โ CROSS EVENTS (UP/DOWN)
A โcross eventโ is registered when the sign of (close - GM) changes:
Define a sign function s_t:
(4) s_t =
+1 if close_t > GM_t
-1 if close_t < GM_t
s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips)
Then define the crossing event indicator:
(5) crossEvent_t = 1 if s_t != s_{t-1}
0 otherwise
Additionally, the indicator plots explicit cross markers:
- Cross Above GM: crossover(close, GM)
- Cross Below GM: crossunder(close, GM)
These provide directional visual cues and match the original Geometric Mean Indicator behavior.
SECTION C โ DENSITY MEASURE (CROSSING CLUSTER COUNT)
A Density Zone is based on the number of cross events occurring in the last W bars:
(6) D_t = ฮฃ_{i=0..W-1} crossEvent_{t-i}
This is a โcrossing densityโ score: how many times price has toggled across GM recently.
The script implements this efficiently using a cumulative sum identity:
Let x_t = crossEvent_t.
(7) cumX_t = ฮฃ_{j=0..t} x_j
Then:
(8) D_t = cumX_t - cumX_{t-W} (for t >= W)
cumX_t (for t < W)
SECTION D โ DENSITY ZONE TRIGGER
We define a Density Zone state:
(9) isDZ_t = ( D_t >= ฮธ )
where:
- ฮธ (theta) is the user-selected crossing threshold.
Zone edges:
(10) dzStart_t = isDZ_t AND NOT isDZ_{t-1}
(11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1}
SECTION E โ DENSITY ZONE BOUNDS
While inside a Density Zone, we track the running high/low to display zone bounds:
(12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t
(13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t
On dzStart:
(14) dzHi_t := high_t
(15) dzLo_t := low_t
Outside zones, bounds are reset to NA.
These bounds visually bracket the โsingularity spanโ (the churn envelope) during each density episode.
SECTION F โ QHO EQUILIBRIUM (REGRESSION CENTERLINE)
Define the regression equilibrium (LSR):
(16) m_t = linreg(close_t, L, 0)
This is the โcenterlineโ the QHO system uses as equilibrium.
SECTION G โ RESIDUAL AND ฯ (FIELD WIDTH)
Residual:
(17) r_t = close_t - m_t
Rolling standard deviation of residuals:
(18) ฯ_t = stdev(r_t, L)
This ฯ_t is the local volatility/width of the residual field around the regression equilibrium.
SECTION H โ NORMALIZED DISPLACEMENT AND SPIN FLIP
Define the standardized displacement:
(19) Y_t = (close_t - m_t) / ฯ_t
(If ฯ_t = 0, the script safely treats Y_t = 0.)
Spin Flip trigger uses a user threshold ฮบ:
(20) spinFlip_t = ( |Y_t| > ฮบ )
Directional spin flips:
(21) spinUp_t = ( Y_t > +ฮบ )
(22) spinDn_t = ( Y_t < -ฮบ )
The default ฮบ=3.0 corresponds to โ3ฯ excursions,โ which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal).
SECTION I โ QHO BANDS (OPTIONAL VISUALIZATION)
The indicator optionally draws the standard ฯ-bands around the regression equilibrium:
(23) 1ฯ bands: m_t ยฑ 1ยทฯ_t
(24) 2ฯ bands: m_t ยฑ 2ยทฯ_t
(25) 3ฯ bands: m_t ยฑ 3ยทฯ_t
These provide immediate context for the Spin Flip events.
WHAT YOU SEE ON THE CHART
1) MA1 / MA2 / GM lines (optional)
- MA1 (blue), MA2 (red), GM (green).
- GM is the equilibrium anchor for Density Zones and cross markers.
2) GM Cross Markers (optional)
- โGMโโ label markers appear on bars where close crosses above GM.
- โGMโโ label markers appear on bars where close crosses below GM.
3) Density Zone Shading (optional)
- Background shading appears while isDZ_t = true.
- This is the period where the crossing density D_t is above ฮธ.
4) Density Zone High/Low Bounds (optional)
- Two lines (dzHi / dzLo) are drawn only while in-zone.
- These bounds bracket the full churn envelope during the density episode.
5) QHO Bands (optional)
- 1ฯ, 2ฯ, 3ฯ shaded zones around regression equilibrium.
- These visualize the current variance field.
6) Regression Equilibrium (LSR Centerline)
- The white centerline is the regression equilibrium m_t.
7) Spin Flip Markers
- A circle is plotted when |Y_t| > ฮบ (beyond your chosen ฯ-threshold).
- Marker size is user-controlled (tiny โ huge).
HOW TO USE IT
Step 1 โ Pick the equilibrium anchor (GM)
- L1 and L2 define MA1 and MA2.
- GM = sqrt(MA1 * MA2) becomes your equilibrium boundary.
Typical choices:
- Faster equilibrium: L1=20, L2=50 (default-like).
- Slower equilibrium: L1=50, L2=200 (macro anchor).
Interpretation:
- GM acts like a โcenter of massโ between two moving averages.
- Crosses show when price flips from one side of equilibrium to the other.
Step 2 โ Tune Density Zones (W and ฮธ)
- W controls the time window measured (how far back you count crossings).
- ฮธ controls how many crossings qualify as a โdensity/singularity episode.โ
Guideline:
- Larger W = slower, broader density detection.
- Higher ฮธ = only the most intense churn is labeled as a Density Zone.
Interpretation:
- A Density Zone is not โbullishโ or โbearishโ by itself.
- It is a condition: repeated equilibrium toggling (high churn / high compression).
- These often precede expansions, but direction is not implied by the zone alone.
Step 3 โ Tune the QHO spin flip sensitivity (L and ฮบ)
- L controls regression memory and ฯ estimation length.
- ฮบ controls how extreme the displacement must be to trigger a spin flip.
Guideline:
- Smaller L = more reactive centerline and ฯ.
- Larger L = smoother, slower โfieldโ definition.
- ฮบ=3.0 = strong extreme filter.
- ฮบ=2.0 = more frequent flips.
Interpretation:
- Spin flips mark when price exits the โnormalโ residual field.
- In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium.
Step 4 โ Read the combined behavior (your key thesis)
A) Density Zone forms (GM churn clusters):
- Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope.
- dzHi/dzLo show the envelope range.
B) Expansion occurs:
- Price can release away from the density envelope (up or down).
- If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > ฮบ).
C) Re-coherence:
- After a spin flip, price often returns toward equilibrium structures:
- toward the regression centerline m_t
- and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior.
- The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes.
IMPORTANT NOTES / DISCLAIMERS
- This indicator is an analytical overlay. It does not provide financial advice.
- Density Zones are condition states derived from GM crossing frequency; they do not predict direction.
- Spin Flips are statistical excursions based on regression residuals and rolling ฯ; markets have fat tails and non-stationarity, so ฯ-based thresholds are contextual, not absolute.
- All parameters (L1, L2, W, ฮธ, L, ฮบ) should be tuned per asset, timeframe, and volatility regime.
PARAMETER SUMMARY
Geometric Mean / Density Zones:
- L1: MA1 length
- L2: MA2 length
- GM_t = sqrt(SMA(L1)*SMA(L2))
- W: crossing-count lookback window
- ฮธ: crossing density threshold
- D_t = ฮฃ crossEvent_{t-i} over W
- isDZ_t = (D_t >= ฮธ)
- dzHi/dzLo track envelope bounds while isDZ is true
QHO / Spin Flips:
- L: regression + residual ฯ length
- m_t = linreg(close, L, 0)
- r_t = close_t - m_t
- ฯ_t = stdev(r_t, L)
- Y_t = r_t / ฯ_t
- spinFlip_t = (|Y_t| > ฮบ)
Visual Controls:
- toggles for GM lines, cross markers, zone shading, bounds, QHO bands
- marker size options for GM crosses and spin flips
ALERTS INCLUDED
- Density Zone START / END
- Spin Flip UP / DOWN
- Cross Above GM / Cross Below GM
SUMMARY
This indicator treats the Geometric Mean as an equilibrium boundary and identifies โDensity Zonesโ when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers โSpin Flipsโ when price makes statistically extreme ฯ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (ฯ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
Victor aimstar past strategy -v1Introducing the ultimate all-in-one DIY strategy builder indicator, With over 30+ famous indicators (some with custom configuration/settings) indicators included, you now have the power to mix and match to create your own custom strategy for shorter time or longer time frames depending on your trading style. Say goodbye to cluttered charts and manual/visual confirmation of multiple indicators and hello to endless possibilities with this indicator.
What it does
==================
This indicator basically help users to do 2 things:
1) Strategy Builder
With more than 30 indicators available, you can select any combination you prefer and the indicator will generate buy and sell signals accordingly. Alternative to the time-consuming process of manually confirming signals from multiple indicators! This indicator streamlines the process by automatically printing buy and sell signals based on your chosen combination of indicators. No more staring at the screen for hours on end, simply set up alerts and let the indicator do the work for you.
Ahmed Gold Signals - 5M LIVE (Frequent)๐ Gold (XAUUSD) Trading Signals โ Precision-Based Strategy
Our Gold signals are built on pure price action, not random indicators or guesswork.
๐ How our signals are generated
We focus on:
๐งฒ Liquidity Sweeps
Identifying when price grabs stop-losses above highs or below lows and then reverses
๐ Clear trend direction using EMA 50 & EMA 200
โ
Strong confirmation candles after the sweep
๐ฏ Entries only in the direction of the trend to increase accuracy
๐ต BUY Signals
Bullish market structure
Price sweeps liquidity below recent lows
Strong bullish confirmation candle closes
โก๏ธ High-probability BUY setup
๐ด SELL Signals
Bearish market structure
Price sweeps liquidity above recent highs
Strong bearish confirmation candle closes
โก๏ธ High-probability SELL setup
โฑ๏ธ Timeframe
5-minute chart (5M)
Fast, precise signals ideal for scalping Gold
๐ก๏ธ Risk Management
Stop loss placed beyond the liquidity sweep
Clear take-profit targets
Risk-to-reward typically 1:2 or better
โ ๏ธ Important Notes
We do not trade every move
We wait for confirmation
Quality over quantity โ always
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)Extended Indicator Description
Ichimoku + VWAP + OBV + ATR Full System is a rule-based intraday trading indicator designed specifically for NQ day trading, focusing on trend alignment, participation confirmation, and volatility-aware execution.
This indicator does not rely on a single signal or crossover. Instead, it integrates multiple market dimensions into one structured framework to help traders identify high-probability trend continuation scenarios while avoiding low-quality, range-bound conditions.
System Philosophy
The core idea of this system is simple:
trade only when trend, price location, volume, and volatility are aligned.
Each component plays a specific role and is not meant to be used in isolation. The indicator works best when all conditions reinforce the same directional bias.
Component Breakdown
Ichimoku Cloud
Used to define the primary market structure and directional bias. The system favors trades only when price action aligns clearly above or below the cloud, helping filter out indecisive or transitional phases.
VWAP
Acts as a session-based equilibrium reference. Price position and distance relative to VWAP are used to confirm whether the market is trending with intent rather than reverting to the mean.
OBV (On-Balance Volume)
Provides participation and flow confirmation. OBV helps validate whether price movement is supported by volume, reducing the likelihood of false breakouts or weak trend signals.
ATR (Average True Range)
Used as a volatility filter and risk-awareness tool. ATR conditions help the system avoid low-volatility environments and support more realistic expectations for intraday movement.
Trade Logic Overview
The system is designed around trend-following pullbacks, not prediction or counter-trend trading.
When trend structure is established and confirmed by VWAP positioning and OBV behavior, pullback zones within the trend become areas of interest. ATR conditions ensure that trades are taken only when sufficient movement potential exists.
Rather than generating frequent signals, the system prioritizes selectivity and clarity, making it suitable for disciplined day traders who value context over quantity.
Intended Use
This indicator is built for:
NQ intraday and day trading
Trend continuation and pullback strategies
Traders who prefer structured, confirmation-based systems
Lower to mid intraday timeframes such as 3-minute, 5-minute, and 15-minute charts
Important Notes
This is not an automated trading system and does not provide guaranteed results. The indicator is designed as a decision-support tool to assist with market context, directional bias, and trade timing. Risk management, execution, and position sizing remain the responsibility of the user.
๋กฑ/์ ์ผ๊ฐํ ์๊ทธ๋
๋๊ทธ๋ผ๋ฏธ ์ฒญ์ฐ ์๊ทธ๋
VWAP ๋ฐด๋ ๊ธฐ๋ฐ ๋ฐฉํฅ์ฑ
OBV ๋ณด์กฐ์งํ
์ด๋ฆ (Name)
BTC Scalping Signal โ VWAP + OBV
์งง์ ์ค๋ช
(Short Description)
VWAP ๋ฐด๋์ OBV๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ฐฉํฅ์ฑ, ์ง์
ยท์ฒญ์ฐ ์๊ทธ๋์ ์ ๊ณตํ๋ ์ค์บํ ์งํ์
๋๋ค.
๊ธด ์ค๋ช
(Long Description)
์ด ์งํ๋ BTC ๋จ๊ธฐ ์ค์บํ์ ์ํด ์ค๊ณ๋ ๊ฒ์ผ๋ก, ํนํ 15๋ถ๋ด ํ๊ฒฝ์ ์ต์ ํ๋์ด ์์ต๋๋ค.
VWAP ๋ฐด๋์ ์์น์ ์ถ์ธ ํ๋ณ ๋ก์ง์ ๊ธฐ๋ฐ์ผ๋ก ๋กฑยท์ ์ง์
์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค.
OBV ๋ชจ๋ฉํ
์ ๋ณด์กฐ ํํฐ๋ก ์ฌ์ฉํ์ฌ ๋ํ ๋ฐ ๋๋๋ฆผ ๊ฐ๋ฅ์ฑ์ ํ๋จํฉ๋๋ค.
์์ฅ ๋ณ๋์ฑ์ด ์ถ์๋๊ฑฐ๋ ํ๊ท ํ๊ท ์ ํธ๊ฐ ๊ฐ์ง๋ ๋ ์ฒญ์ฐ ์๊ทธ๋์ ํ์ํฉ๋๋ค.
์ผ๊ฐํ(์ง์
), ์ํ(์ฒญ์ฐ) ๋ฑ ์ง๊ด์ ์๊ฐ ์์๋ฅผ ํตํด ๋น ๋ฅธ ์์ฌ๊ฒฐ์ ์ ์ง์ํฉ๋๋ค.
Trend detection zero lag Trend Detection Zero-Lag (v6)
Trend Detection Zero-Lag is a high-performance trend identification indicator designed for intraday traders, scalpers, and swing traders who require fast trend recognition with minimal lag. It combines a zero-lag Hull Moving Average, slope analysis, swing structure logic, and adaptive volatility sensitivity to deliver early yet stable trend signals.
This indicator is optimized for real-time decision-making, particularly in fast markets where traditional moving averages react too slowly.
Core Features
๐น Zero-Lag Trend Engine
Uses a Zero-Lag Hull Moving Average (HMA) to reduce lag by approximately 40โ60% versus standard moving averages.
Provides earlier trend shifts while maintaining smoothness.
๐น Multi-Factor Trend Detection
Trend direction is determined using a hybrid engine:
HMA slope (momentum direction)
Rising / falling confirmation
Swing structure detection (HH/HL vs LH/LL)
ATR-adjusted dynamic sensitivity
This approach allows fast flips when conditions change, without excessive noise.
Adaptive Volatility Sensitivity
Sensitivity dynamically adjusts based on ATR relative to price
In high volatility: faster reaction
In low volatility: smoother, more stable trend state
This ensures the indicator adapts across:
Trend days
Range days
Volatility expansion or contraction
Trend Duration Intelligence
The indicator tracks historical trend durations and maintains a rolling memory of recent bullish and bearish phases.
From this, it calculates:
Current trend duration
Average historical duration for the active trend direction
This helps traders gauge:
Whether a trend is early, mature, or extended
Probability of continuation vs exhaustion
Strength Scoring
A normalized Trend Strength Score (0โ100) is calculated using:
Zero-lag slope magnitude
ATR normalization
This provides a quick read on:
Weak / choppy trends
Healthy trend continuation
Overextended momentum
Visual Design
Color-coded Zero-Lag HMA
Bullish trend โ user-defined bullish color
Bearish trend โ user-defined bearish color
Designed for dark mode / neon-style charts
Clean overlay with no clutter
Trend Detection Zero-Lag is built for traders who need:
Faster trend recognition
Adaptive behavior across market regimes
Structural confirmation beyond simple moving averages
Clear, actionable visual signals
FANBLASTERFANBLASTER
Methodology & Rules (Live Trading Version)
Purpose
Catch the exact moment the market flips from chop into a high-conviction trending move using a clean, stacked Fib EMA ribbon + volatility + volume confirmation.
Core Idea
When the 5-8-13-21-34-55 EMA stack suddenly โfans outโ in perfect order with significant separation, a real trend is being born. Most retail traders chase late โ FANBLASTER alerts you on the very first bar the fan opens.
What Triggers a โFAN BLASTโ Alert
Perfect EMA Alignment
Bullish: 5 > 8 > 13 > 21 > 34 > 55
Bearish: 5 < 8 < 13 < 21 < 34 < 55
(Has to flip from NOT aligned on the previous bar โ aligned on this bar)
Significant Separation
Distance between EMA 5 and EMA 55 โฅ 1.3 ร ATR(14)
(1.3 is the ES sweet spot โ filters fake little wiggles)
Trend Strength Confirmation
ADX(14) โฅ 22
(Ensures the move isnโt just noise; ES trends explode while ADX is still climbing)
Volume Conviction
Current volume > 1.4 ร 20-period EMA of volume
(Real moves have real participation)
When ALL FOUR conditions are true on the same bar โ you get the green or red circle + phone alert.
How to Trade It (Live Rules)
Alert fires โ look at the chart immediately
If price is pulling back to the 8 or 13 EMA in the direction of the fan โ enter on touch or close above/below
Initial stop: opposite side of the fan (below the 55 for longs, above the 55 for shorts)
Target: 2โ4 R minimum, trail with the 21 or 34 once in profit
No alert = stay flat. This is a โtrend birthโ sniper, not a scalping tool.
Best Instruments & Timeframes (2025)
ES & NQ futures
2 min, 5 min, 15 min (all work with the exact same settings)
Works on MES/MNQ too (same params)
Bottom Line
FANBLASTER sits silent 90 % of the day and only screams when the market is actually about to run 20โ100+ points.
One alert = one high-probability trend. Thatโs it.
Lock it, load it, and let the phone do the hunting.
Good luck, stay disciplined, and stack those points.
โ Your edge is now live.
Koushik_BBEMAJust a combination of BB and EMA. An easy way to immediately add bollinger band and multiple ema to your chart.
ATR ZigZag - Volatility-Filtered Market StructureDescription
This indicator draws ZigZags using an ATR based threshold for direction switching to identify major swing highs and lows. Instead of relying on fractals or fixed bar-count swings, pivots are confirmed only when price moves beyond the prior extreme by:
threshold = ATR(length) ร ATR_mult
This filters noise, enforces valid swing structure (high โ low โ high), and adapts automatically to volatility. The ATR ZigZag is ideal for traders who want a clean, objective view of swing structure without noise. This has many uses, including mapping swing structure, drawing chart patterns, and trading around extremes.
Lag and Repainting
Pivots are confirmed only after price moves sufficiently in the opposite direction. This creates necessary lag. The ZigZag is drawn when this occurs, and will anchor to the high/low in the past. Optional detection dot plots show exactly when confirmation occurred.
What You See
ZigZag: dashed gray line, repainted to anchor at the confirmed highs and lows
Latest Pivot Levels: Dashed horizontal lines at the most recent confirmed high/low.
Optional Live Swing Leg: A real-time line from the last confirmed pivot to the current swing extreme, updating until a new pivot forms.
Optional ATR Boxes: 1รATR shaded zones around the latest pivot for structural context.
Optional Pivot Confirmation Dots: Markers show the bar where the threshold is crossed and a swing is officially confirmed. This is to understand the lag and see when the ZigZag repainted.
EMA Crossover CandlesEMA Crossover Candles
This indicator colors your chart candles based on the relationship between two Exponential Moving Averages (EMAs).
How It Works
Green Candles - When the Fast EMA is above the Slow EMA, indicating bullish momentum
Red Candles - When the Fast EMA is below the Slow EMA, indicating bearish momentum
Settings
Source - The price data used for EMA calculations (default: close)
Fast Length - Period for the fast EMA (default: 5)
Slow Length - Period for the slow EMA (default: 10)
How To Use
This indicator provides a quick visual reference for trend direction. Green candles suggest the short-term trend is bullish, while red candles suggest bearish conditions. This can help you:
Identify trend direction at a glance
Filter trades in the direction of the trend
Spot potential trend changes when candle colors shift
Tips
Adjust the Fast and Slow Length settings to match your trading timeframe
Shorter periods = more responsive but more false signals
Longer periods = smoother but slower to react to trend changes
Consider hiding default candles in Chart Settings for a cleaner look
Note: This indicator is for informational purposes only and should not be used as the sole basis for trading decisions. Always use proper risk management and consider combining with other forms of analysis.
Feel free to modify this to match your style or add any additional details you'd like to include.Claude is AI and can make mistakes. Please double-check responses. Opus 4.5
specific breakout FiFTOStrategy Description: 10:14 Breakout Only
Overview This is a time-based intraday trading strategy designed to capture momentum bursts that occur specifically after the 10:14 AM candle closes. It operates on the logic that if price breaks the high of this specific candle within a short window, a trend continuation is likely.
Core Logic & Rules
The Setup Candle (10:14 AM)
The strategy waits specifically for the minute candle at 10:14 to complete.
Once this candle closes, the strategy records its High price.
Defining the Entry Level
It calculates a trigger price by taking the 10:14 High and adding a user-defined Buffer (e.g., +1 point).
Formula: Entry Level = 10:14 High + Buffer
The "Active Window" (Expiry)
The trade setup does not remain open all day. It has a strict time limit.
By default, the setup is valid from 10:15 to 10:20.
If the price does not break the Entry Level by the expiry time (default 10:20), the setup is cancelled and no trade is taken for the day.
Entry Trigger
If a candle closes above the Entry Level while the window is open, a Long (Buy) position is opened immediately.
Exits (Risk Management)
Stop Loss: A fixed number of points below the entry price.
Target: A fixed number of points above the entry price.
Visual & Automation Features
Visual Boxes: Upon entry, the strategy draws a "Long Position" style visual on the chart. A green box highlights the profit zone, and a red box highlights the loss zone. These boxes extend automatically until the trade closes.
JSON Alerts: The strategy is pre-configured to send data-rich alerts for automation (e.g., Telegram bots).
Entry Alert: Includes Symbol, Entry Price, SL, and TP.
Exit Alerts: Specific messages for "Target Hit" or "SL Hit".
Summary of User Inputs
Entry Buffer: Extra points added to the high to filter false breaks.
Fixed Stop Loss: Risk per trade in points.
Fixed Target: Reward per trade in points.
Expiry Minute: The minute (10:xx) at which the setup becomes invalid if not triggered.
