[TravTradesCrypto] Year Start Markers + Cycle LabelsSimple year-start markers with political cycle labels.
Draws a vertical line at the start of each year and annotates Election, Inauguration, and Midterm years on chart. Adjustable look back (up to 20 years).
المؤشرات والاستراتيجيات
Nifty 50 Logarithmic Rainbow (7 Bands)This description is written to be pasted directly into the "Description" field on TradingView when you publish or share the indicator. It explains the logic, how to read it, and the specific calibration for the Nifty 50.Description: Nifty 50 Logarithmic Regression Rainbow (Calibrated)OverviewThis indicator is a long-term valuation tool for the Nifty 50, inspired by the logarithmic regression models used by Benjamin Cowen for Bitcoin. Unlike standard linear trendlines, this model accounts for the exponential growth and diminishing volatility of a maturing stock index over decades.It is designed to help investors identify historical cycle extremes—distinguishing between "generational buying opportunities" and "overheated bubble territory."The MathematicsThe indicator uses a Power Law regression model based on over 30 years of Nifty 50 historical data (from 1990 to the present):$$\ln(\text{Price}) = a + b \cdot \ln(\text{Time} + \text{Offset})$ PSECZ:FIXED Parameters: The slope and intercept are hard-coded based on a best-fit analysis of the Nifty’s history, ensuring the bands remain stable and do not "jump" or repaint when you scroll through the chart.Time Offset: A specific 10,000-day offset is applied to the origin. This flattens the curve to perfectly match the Nifty's stable growth transition from the 1990s through the 2008 and 2020 cycles.How to Read the 7-Band RainbowThe chart is divided into 7 distinct color-coded zones:Red / Orange (Upper Bands): Cycle Peaks. Historically, when the Nifty enters these zones (like in 1992 and 2008), it is significantly overvalued and a correction or consolidation is likely.Yellow (Upper-Mid): Overheated. The index is trading above its fair value.Green / Cyan (Center Bands): Fair Value. This represents the "Mean" of the index. During healthy bull markets, the Nifty 50 spends the majority of its time oscillating within these zones.Blue / Purple (Lower Bands): Generational Value. These zones represent extreme undervaluation. Historically, these have aligned with major market bottoms, such as the 2003 accumulation phase, the 2008 crash bottom, and the 2020 COVID-19 lows.How to UseTimeframe: Optimized for Weekly (W) and Daily (D) views.Scale: IMPORTANT: You MUST enable Logarithmic Scale on your TradingView chart (click the 'Log' button in the bottom right) for the bands to display their intended geometric curves.Customization: You can adjust the Band Width in the settings to fine-tune how strictly the bands wrap around historical peaks and troughs.DisclaimerThis indicator is a mathematical model based on historical data. Past performance is not indicative of future results. It is intended for educational and macro-analysis purposes and should not be used as the sole basis for financial decisions.
Test Script Ignore MeTest Script Ignore Me. Just testing script publish capabilities so this script should not be used.
LIB_Signal_SupertrendLibrary "LIB_Signal_Supertrend"
sig_supertrend(_signal_ha_mode, _use_ha_for_supertrend, _haOpen, _haHigh, _haLow, _haClose, _open, _high, _low, _close, _st_atr, _st_factor, _st_use_wicks)
Parameters:
_signal_ha_mode (string)
_use_ha_for_supertrend (bool)
_haOpen (float)
_haHigh (float)
_haLow (float)
_haClose (float)
_open (float)
_high (float)
_low (float)
_close (float)
_st_atr (float)
_st_factor (float)
_st_use_wicks (bool)
LIB_Signal_RangeFilterLibrary "LIB_Signal_RangeFilter"
sig_rangefilter(_adx, _plusDI, _minusDI, _chop, _src, _adxTrendThresh, _adxRangeThresh, _chopTrendThresh, _chopRangeThresh, _rsiLen, _rsiOS, _rsiOB, _bbLen, _bbMult, _useBBFilter)
Parameters:
_adx (float)
_plusDI (float)
_minusDI (float)
_chop (float)
_src (float)
_adxTrendThresh (float)
_adxRangeThresh (float)
_chopTrendThresh (float)
_chopRangeThresh (float)
_rsiLen (simple int)
_rsiOS (float)
_rsiOB (float)
_bbLen (int)
_bbMult (float)
_useBBFilter (bool)
LIB_ConfirmationLayerLibrary "LIB_ConfirmationLayer"
apply_confirmation(longRaw, shortRaw, signalDir, signalLine, posSize, o, h, l, c, _bar_index, _time, conf_useBreakout, conf_useSwing, conf_useMomentum, conf_momMode, conf_atrLen, conf_momAtrMult, conf_rocMinPct, conf_useSessionFilter, conf_session, conf_plotLevels, conf_requireCloseBeyond, conf_confirmTimeoutBars, conf_minWaitBars, conf_gateOnlyWhenFlat, conf_dynamicLevelWhileWaiting, conf_dynUpdateMode, conf_deferBreakOnLevelUpdate, conf_refreshOnNewRawSignal, conf_rawEventMode, conf_tieRule, conf_barCloseOnly, conf_requireRawStillTrue, conf_breakBufferTicks, conf_maxSwingDistPct, conf_maxPivotAgeBars, conf_pLeft, conf_pRight)
Parameters:
longRaw (bool)
shortRaw (bool)
signalDir (int)
signalLine (float)
posSize (float)
o (float)
h (float)
l (float)
c (float)
_bar_index (int)
_time (int)
conf_useBreakout (bool)
conf_useSwing (bool)
conf_useMomentum (bool)
conf_momMode (string)
conf_atrLen (simple int)
conf_momAtrMult (float)
conf_rocMinPct (float)
conf_useSessionFilter (bool)
conf_session (string)
conf_plotLevels (bool)
conf_requireCloseBeyond (bool)
conf_confirmTimeoutBars (int)
conf_minWaitBars (int)
conf_gateOnlyWhenFlat (bool)
conf_dynamicLevelWhileWaiting (bool)
conf_dynUpdateMode (string)
conf_deferBreakOnLevelUpdate (bool)
conf_refreshOnNewRawSignal (bool)
conf_rawEventMode (string)
conf_tieRule (string)
conf_barCloseOnly (bool)
conf_requireRawStillTrue (bool)
conf_breakBufferTicks (int)
conf_maxSwingDistPct (float)
conf_maxPivotAgeBars (int)
conf_pLeft (int)
conf_pRight (int)
EURUSD 5m SMA(5) x SMA(20) AlertsTracks every time the 5 sma crosses the 20 sma on the 5 minute chart
Non-Repainting Support/Resistance TrendlinesFeatures of This Version
Support lines: upward only, start at lowest low → next higher low
Resistance lines: downward only, start at highest high → next lower high
Lines do not cross price action (validated by every bar along the line)
Non-repainting, confirmed pivots only
Maximum number of trendlines is adjustable
Time-Segmented RVOLTime-Segmented RVOL
The Mathematical Flaw in Standard RVOL
Most Relative Volume (RVOL) indicators are built on a "Linear Scaling" hypothesis. They take the daily average and divide it by the number of bars in the day. This fails to account for the "Volume Smile"—the natural tendency for volume to be heavy at the open/close and dry up during mid-day. This leads to "False Highs" every morning and "False Lows" during lunch.
The Solution: Time-Slot Memory
This script uses a high-performance array to create a 20-Day Memory for every specific minute of the trading day.
Contextual Comparison: It compares the current 10:30 AM bar only to the previous twenty 10:30 AM bars.
Pre-Market Precision: Because it compares 4:00 AM volume to historical 4:00 AM volume, it can spot "early-bird" runners hours before the opening bell, identifying unusual interest when total volume is still low.
The Coherent Momentum Tiers
We have organized the color logic into four distinct, logical tiers to assist in rapid decision-making:
Cold (Blue): RVOL < 1.0 . Volume is below the historical average for this specific time slot.
Building (Green): RVOL 1.0 – 3.0. Active participation. The stock is "Awake" and moving with healthy, sustainable interest.
High Intensity (Yellow): RVOL 3.0 – 5.0. Extreme interest. The trade is becoming "crowded"; look for increased volatility.
Parabolic/Super High (Pink): RVOL > 5.0. Massive abnormality (5x+ normal volume). Common in small-cap "pumpers" and major institutional news events.
Trading Strategy: Spotting the "In-Play" Runner
The Awake Signal: Watch for a transition from Blue to Green. This confirms the ticker is "in-play" relative to its own 20-day history.
The Breakout: Look for Yellow or Pink bars accompanied by a price breakout from a consolidation zone. High RVOL confirms the move has real conviction.
Exhaustion (White X): The script includes built-in divergence tracking. If the price makes a new high but the RVOL bars are shrinking, a "White X" will appear. This suggests "Volume Exhaustion"—the fuel is running out.
Settings
Lookback (Days): Default is 20. This acts as a "Truth Filter" to ensure the baseline remains grounded in long-term reality rather than chasing short-term noise.
Custom Thresholds: Fully adjustable levels for the Green, Yellow, and Pink tiers to suit different asset classes (Small-caps vs. Mega-caps).
libhs_td6Library Overview Data for logger
This library contains test data used by library logger
import GETpacman/logger/x as logger
The Fantastic 4 - Momentum Rotation StrategyOverview
The Fantastic 4 is a tactical momentum rotation indicator. It rotates capital monthly across four carefully selected assets based on their 75-day Rate of Change (ROC), allocating only to assets with positive momentum and proportionally weighting them by their momentum strength.
This indicator tracks the strategy's historical performance, displays current allocation recommendations, and sends monthly rebalance alerts so you can easily manage your portfolio. Simply set your capital amount and the indicator shows exactly how much to invest in each asset.
Why These Four Assets?
The selection of 20-year Bonds, Gold, Russell 2000, and Emerging Markets is based on their specific volatility and decorrelation characteristics, which allow the strategy to react quickly to market shifts while providing protection during downturns.
Russell 2000 (Small Caps)
Chosen over the S&P 500 because it is more "lively" and active (Nowadays you could use also the Nasdaq). Its trends are steeper and more vertical, making it easier for a momentum indicator to catch clear trends. While the S&P 500 has more inertia, the Russell 2000 develops faster, allowing the strategy to capture gains in shorter periods.
Emerging Markets
Included because they can act like a "rocket," offering explosive growth potential while maintaining high decorrelation from developed equity markets. When emerging markets trend, they trend hard.
20-Year Bonds
Selected because they are the most decorrelated asset from equities. When a stock market crash occurs, capital typically flows into fixed income, and long-term bonds (20-year) notice this influx the most, making their price reaction more significant and easier to trade. This is the strategy's primary "safe haven."
Gold
Along with bonds, gold serves as a defensive asset providing a "shield" for the portfolio when general market conditions deteriorate. It offers additional decorrelation and crisis protection.
How the Strategy Works
The 75-Day Momentum Engine
The strategy uses a 75-day momentum lookback (roughly 3.5 months), which is considered very "agile" compared to other models like Global Equity Momentum (GEM) that use 200-day periods. This shorter window allows the strategy to:
React quickly to changes in trend
Catch upward movements in volatile assets early
Exit quickly when trends break
Monthly Rebalancing Process
At the end of each month:
Step 1: Calculate 75-day ROC for each asset
Step 2: Filter out assets with negative momentum (they receive 0% allocation)
Step 3: Distribute capital proportionally based on momentum strength
Step 4: Apply 5% minimum threshold (smaller allocations become zero)
Step 5: Apply 80% maximum cap (no single asset exceeds 80%, remainder stays in cash)
The 80% Ceiling Rule
There is an 80% investment ceiling for any single asset to prevent over-exposure. If only one asset (like bonds) has positive momentum, 80% goes to that asset and 20% remains in cash/liquidity.
Behavior in Bearish Markets
When markets turn bearish, the strategy protects capital through several mechanisms:
Automatic Risk-Off
Because the strategy only invests in assets with positive momentum, it automatically moves away from crashing equities. If an asset's trend becomes negative, the strategy stays "on the sidelines" for that asset.
The Bond Haven
During prolonged bearish periods or sudden crashes (like COVID-19), the strategy typically shifts into 20-year bonds. During the COVID-19 crash in March 2020, while global markets were collapsing, strategies like this reportedly yielded positive returns by being positioned in bonds.
Full Liquidity Option
If no assets show positive momentum, the strategy moves to 100% cash. This is rare given the decorrelation between the four assets—when equities crash, bonds and gold typically rise.
What This Indicator Does
This is a tracking and alerting tool that:
Calculates the optimal allocation based on current momentum
Shows historical monthly performance of the strategy
Simulates portfolio equity growth from your specified starting capital
Displays exact dollar amounts to invest in each asset
Sends monthly rebalance alerts with complete instructions
Detects missing data to prevent false signals
Features
Dynamic allocation table showing weights, dollar amounts, and ROC values
Monthly returns history with color-coded performance
Data availability detection with visual status indicators
Configurable alerts for rebalancing, go-to-cash, and missing data
Simulated equity curve from initial capital
Settings Guide
Assets
Configure your four ETFs. The default European ETFs are:
Asset 1 - XETR:IS04: iShares 20+ Year Treasury Bond (Bonds)
Asset 2 - XETR:GZUR: Gold ETC
Asset 3 - XETR:XRS2: Xtrackers Russell 2000 (Small Caps)
Asset 4 - XETR:XMME: Xtrackers Emerging Markets (EM)
For US markets, consider: TLT (20-year bonds), GLD (Gold), IWM (Russell 2000), EEM (Emerging Markets)
Strategy Settings
ROC Period - Momentum lookback in daily bars. Default: 75 days (~3.5 months)
Max Allocation % - Maximum weight for any single asset. Default: 80%
Min Allocation % - Threshold below which allocation becomes zero. Default: 5%
Capital
Initial Capital - Your portfolio value. The indicator calculates exact amounts for each asset based on this. Default: $20,000
Display
Table Positions - Position the allocation and history tables on screen
Months of History - How many past months to display (3-24)
Alerts
Monthly Rebalance Alert - Sends complete allocation details at month end
Go-to-Cash Alert - Alerts when all assets have negative momentum
Missing Data Alert - Warns when asset data is unavailable
How to Use
Initial Setup
Add indicator to any chart and switch to MONTHLY timeframe
Configure your four ETF tickers
Set your portfolio capital amount
Position the tables where you prefer
Setting Up Alerts
Click Alert button or press Alt+A
Set Condition to "Fanta4"
Select "Any alert() function call"
Choose notification method (Email, Push, Webhook, etc.)
Set expiration to "Open-ended"
Monthly Workflow
Receive rebalance alert at the start of each month
Alert shows exact percentages AND dollar amounts for each asset
Adjust your portfolio accordingly
No action needed during the month
Reading the Tables
Green = positive returns/momentum
Red = negative returns/momentum
Orange "N/A" = missing data
Alloc column shows weight distribution (e.g., "45/35/20/—")
Alert Message Example
Monthly alerts include:
Target month for the new allocation
Current portfolio value
Each asset's percentage AND dollar amount
Each asset's momentum (ROC) value
Cash allocation if applicable
Total return since inception
Historical Context
This strategy combines elements of:
Dual Momentum (Gary Antonacci) - Relative and absolute momentum
Global Equity Momentum (GEM) - But with shorter 75-day vs 200-day lookback
Risk parity concepts - Decorrelated asset selection
The key innovation is the specific asset selection optimized for momentum trading and the agile 75-day lookback period that allows faster reactions to trend changes.
Data Requirements
The strategy activates only when all four assets have valid price data (minimum 75 days of history). The data status row shows checkmarks for available data. Note: Some ETFs have limited history (e.g., XMME data starts June 2017).
Limitations
This is a tracking indicator, not an automated trading system
Past performance is hypothetical and does not guarantee future results
Requires all four assets to have valid data; partial allocation not supported
Monthly rebalancing may miss shorter-term momentum shifts
Transaction costs, slippage, and taxes are not included in simulation
ETF availability and liquidity vary by region
The 75-day momentum may whipsaw in choppy, trendless markets
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice.
Version History
v1.0 - Initial release with momentum rotation, allocation tables, data validation, and monthly alerts
KJ Sessions (Today Only): Asia/London/US + OverlapKJ Sessions : Asia/London/US + Overlap.
best for people to clearly mark Asia, UK and US opening and closing timing.
logger.DEMO◼ Objective
This is an accompanying script to logger library. As the library has lot of logging features, this script demonstrates how all fields and methods interact to display logs on screen.
Please always use the latest version of the library and the key information functions
◼ How to access help and info about this library
Import the latest version of Library, call logger.overview(), and hover mouse over overview() to see help in Editor!
import GETpacman/logger/4 as logger
logger.overview() => Help and general information
logger.sampleCode() => Sample Code Usage
logger.fields() => For listing all fields
logger.methods() => For listing of all methods
TSLA Cycle Timing - 122-Day Reversal Map (Adaptive Framework)This indicator is a timing map built specifically for Tesla (TSLA) on the Daily chart. It plots a repeating set of vertical, color-coded timing markers inside a 122-bar cycle (commonly treated as ~122 trading days on the Daily timeframe). These markers highlight reversal “zones”—areas where TSLA has historically shown a tendency to pivot from high-to-low and low-to-high within the cycle.
The script includes:
23 TSLA-derived set points (Points 1–23): the core timing map used to mark the most repeatable reversal areas.
Two optional “Inversion Points” (INV A / INV B): manual markers you can enable when TSLA’s high/low sequence appears to flip due to a structural deviation.
One additional optional marker (OPT C) for user customization.
This is not an auto-buy/sell system. It is a cycle-structure framework designed to help you anticipate when a reversal is more likely to occur, so you can combine it with your own confirmation tools (price action, trend context, support/resistance, volume, etc.).
Definitions (How this script interprets highs/lows)
In the context of cycle mapping:
A High Point is the highest price reached between two neighboring high pivots.
A Low Point is the lowest price reached between two neighboring low pivots.
The vertical lines are timing markers, not “guaranteed pivot candles.” Price may top/bottom slightly before or after a line. That’s why the script includes an optional ± window (in bars) to visualize a small tolerance zone around each marker.
How it works (Conceptually)
The script defines a repeating cycle length (default 122 bars).
Inside each cycle, each point has an offset measured in bars from the cycle start.
For every cycle instance (past, current, and optional future cycles), the script draws:
a vertical dotted line at each enabled point offset
optional ± window bands around the line
optional labels (numbers for set points and “INV” labels for inversion points)
Because this is a Tesla-specific map, the default offsets for Points 1–23 are preconfigured based on TSLA’s observed structure, and the remaining optional points are user-controlled.
How to Use (Important)
1) Use the Daily chart first
This model is designed around TSLA’s Daily cycle behavior. Start with:
Symbol: TSLA
Timeframe: 1D
If you use other timeframes, the cycle “tempo” can change and may require different offsets.
2) Identify the cycle start (anchor)
Cycle mapping depends on where the current cycle is anchored.
Use “Bars Back to Current Cycle Start” to shift the cycle start so that the script’s point sequence aligns with your most recent known cycle beginning. Once aligned, the points should repeat near each 122-bar interval.
3) Read the vertical markers as reversal zones
The colored vertical lines represent areas where reversals have historically occurred, not a promise that price must reverse exactly on the line.
A practical approach:
Use the marker as a “heads-up” zone
Wait for confirmation (trend break, candle structure, momentum shift, key level reaction, etc.)
4) Understand “set points” vs “Inversion Points”
Set Points (1–23)
These are the primary TSLA reversal zones that tend to recur within the 122-bar structure. Specific numbered points often appear near the same relative position inside each cycle.
Inversion Points (INV A / INV B)
Occasionally, TSLA’s cycle behavior can flip—meaning the expected high-to-low (or low-to-high) progression temporarily swaps order. This is what I refer to as an inversion.
When you see a cycle behaving “backwards” relative to the usual sequence:
Enable INV A and/or INV B
Place their offsets at the bar locations where the flip becomes obvious
Use these markers as manual annotations so your cycle notes stay consistent even when TSLA deviates from its typical rhythm
These inversion markers do not force the script to predict a flip—they allow you to document it cleanly.
5) Use the ± Window Bands to manage real-world variance
Markets don’t pivot on perfect timestamps. If a reversal tends to happen “around” a point:
Enable ± Window Bands
Set Window ± Bars (commonly 1–3 bars on 1D)
This gives a realistic visual tolerance zone around each timing marker.
Settings Guide (Practical)
Cycle Length (bars): 122 (TSLA Daily baseline)
Lookback Bars: increase to study more history, decrease for performance
Future Cycles: use sparingly; future markers are guidance zones, not guarantees
Past Cycles: Lines Only: recommended ON for stable performance
Labels at Top: helps keep the chart clean and readable
Final Notes / Limitations
This is a historical timing framework designed to map TSLA’s repeating reversal structure. It helps estimate when reversal pressure tends to appear, but it does not replace risk management or confirmation. Cycle behavior can stretch, compress, or invert during unusual volatility regimes—hence the inclusion of optional inversion markers.
Daily ATR + DeltaThis indicator shows last value of ATR with this parameters: Length 14, Smoothing RMA, Timeframe 1 day i Wait for timeframe closes.
Also, it shows Delta in percentage.
Delta is calculated in this way: -((the last one-minute closing price of the previous day's stock exchange)-(last price at the moment))/(value of ATR) * 100
Notice:
If you are in postmarket or premarket, delta will be also calculated from the "the last one-minute closing prices of the previous day's stock exchange" not from the "the last one-minute closing price of the todays stock exchange".
You dont need to have indicator Average True Range for this indicator to be working.
StO Price Action - Impulse CandleShort Summary
- Highlights impulse candles based on relative momentum
- Compares current or previous closed candles against prior price movement
- Uses a configurable momentum factor to filter significant impulses
- Designed to make strong directional candles visually stand out
Full Description
Overview
- Identifies impulse candles with strong momentum
- Focuses on candle-to-candle expansion rather than trend or structure
- Intended to visually emphasize moments of acceleration in price
- Works as a complementary tool to price action and volatility analysis
Impulse Candle Logic
- Impulse candles are detected by comparing the current candle range to previous candles
- A candle is considered an impulse when its range exceeds prior movement by a defined factor
- The comparison basis can be (current forming Candle, previous fully closed Candle)
Momentum Factor
- The momentum factor defines how much stronger a candle must be compared to earlier candles
- Higher values filter out smaller moves and highlight only extreme impulses
- Lower values allow more frequent impulse detection
- Helps adapt the indicator to different instruments and volatility regimes
Range Calculation
- Two range calculation modes are available:
- Open / Close (Body range):
- Measures body-based momentum
- Focuses on directional conviction
- High / Low (Candle range):
- Measures full volatility expansion
- Includes wicks and intrabar extremes
Visualization
- Impulse candles are highlighted using a customizable bar color
- Designed to remain minimal and unobtrusive
Alerts
- Optional alert can be enabled after detected impulse candles
- Useful for monitoring momentum shifts without constant screen time
Usage
- Suitable for breakout detection and momentum confirmation
- Helps identify volatility expansion phases
- Can be used for entry timing or trade management
Notes
- This indicator does not predict direction on its own
- Impulse candles may occur in both trending and ranging markets
- Best used in combination with structure, levels or higher-timeframe context
- Momentum thresholds should be adjusted per market and timeframe
BuyLow SellHigh Bands | ProjectSyndicate________________________________________
📊 BuyLow SellHigh (BLSH) Bands
Comprehensive Trading Guide – by ProjectSyndicate
________________________________________
🔰 1. Introduction
The BuyLow SellHigh (BLSH) Bands indicator is a powerful technical analysis tool designed for the TradingView platform. Works with any symbol. Gold/FX/indices/oil/crypto/stocks.
It provides traders with a clear, visual representation of:
• 📈 Overbought conditions
• 📉 Oversold conditions
This makes it easier to identify high-probability entry and exit points.
The indicator is built on:
• Dynamic price channels
• Fibonacci-based zones
• Color-coded market structure
💡 While the BLSH Bands can be used on Forex, Crypto, and Futures, this guide focuses on Gold (XAUUSD) using:
• M5
• M15
• M30 timeframes
________________________________________
🧠 2. Core Concepts
The BLSH Bands structure is created using two key components:
________________________________________
📐 Dynamic Price Bands
• Upper and lower bands are calculated using the highest high and lowest low
• Based on a user-defined lookback period (fiboPeriod)
• Reflects recent volatility and price range
This creates a self-adjusting channel that adapts to market conditions.
________________________________________
🧮 Fibonacci Zones
The space between the bands is divided into six Fibonacci-based zones:
• 0.786
• 0.618
• 0.500
• 0.382
• 0.214
⚠️ These are not traditional retracements — they are used to grade price extremity within the channel.
________________________________________
🎨 Color-Coded Zones Overview
Zone (Fib Level) Color Market Condition Interpretation
1.000 – 0.786 🔴 Red Extreme Overbought High reversal / pullback probability
0.786 – 0.618 🟠 Orange Overbought Selling pressure building
0.618 – 0.500 🟡 Yellow Mildly Overbought Bullish momentum weakening
0.500 – 0.382 🟢 Aqua Mildly Oversold Bearish momentum weakening
0.382 – 0.214 🔵 Deep Sky Blue Oversold Strong buying interest
0.214 – 0.000 🔷 Blue Extreme Oversold High bounce / reversal probability
🖤 Solid black separator lines ensure clean visual separation between zones for precise price location.
________________________________________
🪙 3. Trading Strategies for XAUUSD (Gold)
Gold’s volatility and respect for technical levels make it ideal for BLSH Bands strategies.
________________________________________
⚡ M5 Timeframe – Scalping Strategy
Designed for fast mean-reversion trades from extreme zones.
🟢 BUY Setup
• Price enters Extreme Oversold (Blue) zone
• Bullish confirmation candle appears:
o Hammer
o Bullish engulfing
• Enter BUY
🔴 SELL Setup
• Price enters Extreme Overbought (Red) zone
• Bearish confirmation candle appears:
o Shooting star
o Bearish engulfing
• Enter SELL
🎯 Take Profit:
• Median band (between Yellow & Aqua)
🛑 Stop Loss:
• Just outside the outer band
________________________________________
📆 M15 Timeframe – Day Trading Strategy
Balanced timeframe for higher-probability reversals.
🟢 BUY Setup
• Price enters Oversold (Blue / Deep Sky Blue)
• Strong bullish reversal candle closes back inside bands
• Enter BUY after close
🔴 SELL Setup
• Price enters Overbought (Red / Orange)
• Bearish reversal candle closes back inside bands
• Enter SELL after close
🎯 Take Profit (Multi-Target):
1. Median band
2. Opposite extreme band
🛑 Stop Loss:
• Beyond high/low of confirmation candle
________________________________________
🔄 M30 Timeframe – Swing Trading Strategy
Used for identifying major swing points.
🔍 Trend Filter
• Use 100 or 200 EMA
• Trade only in trend direction
🟢 Uptrend
• Buy pullbacks into Oversold zones
🔴 Downtrend
• Sell rallies into Overbought zones
📉 Confirmation:
• Band rejection
• RSI or MACD divergence
🎯 Take Profit:
• Previous structure levels
• Opposite band extreme
🛑 Stop Loss:
• Below / above recent swing high or low
________________________________________
🚨 4. Alerts System
Alerts are disabled by default to keep charts clean.
✅ How to Enable
• Open indicator settings
• Check “Enable Alerts”
________________________________________
🔔 Available Alerts
🔴 Overbought Alert
• Trigger: Price crosses above 0.786
• Message:
🔴 SELL SIGNAL: Price entered Overbought Zone – Consider selling or taking profits
🟢 Oversold Alert
• Trigger: Price crosses below 0.214
• Message:
🟢 BUY SIGNAL: Price entered Oversold Zone – Consider buying or entering long
________________________________________
⏱ Alert Spacing Logic
• Default: 20/50 bars
• Prevents repeated alerts in choppy markets
• Filters for higher-quality signals
________________________________________
⚙️ 5. Customization Settings
Adjust the indicator in the Settings panel:
🔧 Core Inputs
• fiboPeriod → Band sensitivity
• extremes → Price source (High/Low or Close)
🔔 Alert Controls
• Enable / disable alerts
• Separate control for overbought & oversold
• Alert spacing (bars)
________________________________________
⭐ How You Can Support ProjectSyndicate (3 Steps)
1. ✅ Click “Add to Favorites” to save this script to your TradingView Favorites
2. 🔎 Check out our other scripts to complete your SMC toolkit
3. 👤 Follow ProjectSyndicate for the latest updates, upgrades, and new releases
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⚠️ 6. Disclaimer
Trading involves significant risk and may not be suitable for all traders.
This indicator is a decision-support tool, not a standalone trading system.
Always apply:
• Proper risk management
• Additional confirmations
• Sound trading discipline
📉 Past performance does not guarantee future results.
VWAP Enhanced (Visual Feedback)This is the standard Volume-Weighted Average Price (VWAP) indicator, with the addition of an adjustable anchored time point. This modification aligns with the objective of analyzing price action relative to a specific subsequent event.






















