ZV-Resources by ZuperView.comLibrary "zuperview"
ComputeMAValue(maType, series, period)
ComputeMAValue
@description Computes the moving average (MA) value based on the specified MA type.
Parameters:
maType (string) : (string) The type of moving average: "EMA", "SMA", "RMA", "WMA", "HMA", "VWMA", "LinReg".
series (float) : (float) The input price series (typically close).
period (simple int) : (int) The number of periods used for MA calculation.
Returns: (float) The computed MA value or `na` if maType is invalid.
ComputeATRValue(period)
ComputeATRValue
@description Computes the moving average (ATR) value based on the specified ATR type.
Parameters:
period (int) : (int) The number of periods used for MA calculation.
Returns: (float) The computed ATR value or `na` if maType is invalid.
Max(src, period)
Parameters:
src (float)
period (int)
Min(src, period)
Parameters:
src (float)
period (int)
ComputeRSIValue(src, period, smooth)
ComputeRSIValue
@description Computes the moving average (RSI) value based on the specified RSI type.
Parameters:
src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.
period (int) : (int) The number of periods used for MA calculation.
smooth (int)
Returns: (float) The computed RSI value or `na` if maType is invalid.
ComputeSMMAValue(src, period)
ComputeSMMAValue
@description Computes the moving average (SMMA) value based on the specified SMMA type.
Parameters:
src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.
period (int) : (int) The number of periods used for MA calculation.
Returns: (float) The computed SMMA value or `na` if maType is invalid.
ComputeStochasticValue(src, periodD, periodK, smoothingMethod, smoothingPeriod)
ComputeStochasticValue
@description Computes the moving average (SMMA) value based on the specified SMMA type.
Parameters:
src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.
periodD (simple int) : (int) The number of periods used for MA calculation.
periodK (int) : (int) The number of periods used for MA calculation.
smoothingMethod (string) : (string) The type of moving average: "EMA", "SMA", "RMA", "WMA", "HMA", "VWMA", "LinReg".
smoothingPeriod (simple int) : (int) The number of periods used for MA calculation.
Returns: (float) The computed Stochastic(K, D) value or `na` if maType is invalid.
지표 및 전략
NQ FVG + MSS ChecklistThe NQ FVG + MSS Quick Checklist is a simple yet powerful visual tool for traders focusing on the Nasdaq 100 (NQ) futures. It provides a step-by-step checklist to assess trade setups based on key market concepts like Fair Value Gaps (FVG), Market Structure Shifts (MSS), session highs/lows, and previous day levels.
This indicator helps you quickly see which elements of your trading plan are met before entering a trade. Each checklist item can be manually toggled, and a cumulative Trade Score provides a quick visual guide to setup strength.
Key Features:
Step-by-step checklist for NQ trading setups
Track levels: Session highs/lows & Previous Day High/Low
Spot 5M FVG and Retests
Identify MSS on 1M and find 1M FVG inside MSS
Manual SL & TP guidance
Trade Score for quick setup strength assessment
Fully visible table overlay on top of the chart
How to Use:
Mark session & previous day levels
Observe reaction at key levels (Sweep or Continue)
Identify 5M FVG and any retests
Spot 1M MSS and 1M FVG inside MSS
Set SL/TP based on FVG extremes and next session levels
Check the cumulative Trade Score for setup confirmation
Note: This indicator is manual input-based, letting traders tick off items as they analyze the chart, making it a lightweight trading checklist HUD that stays on top of all chart elements.
BarLibrary "Bar"
A comprehensive library for creating and managing custom multi-timeframe (MTF) candlestick bars without using request.security calls, providing enhanced visualization and analytical capabilities with improved performance
Candle()
Creates a new candle object initialized with current bar's OHLC data
Returns: A new _Candle instance with current market data
method body(this)
Calculates the absolute size of the candle body (distance between open and close)
Namespace types: _Candle
Parameters:
this (_Candle)
Returns: The absolute difference between closing and opening prices
method topWick(this)
Calculates the length of the upper wick (shadow above the candle body)
Namespace types: _Candle
Parameters:
this (_Candle)
Returns: The distance from the higher of open/close to the high price
method bottomWick(this)
Calculates the length of the lower wick (shadow below the candle body)
Namespace types: _Candle
Parameters:
this (_Candle)
Returns: The distance from the low price to the lower of open/close
method display(this, bullishColor, bearishColor, transp, borderWidth, lineWidth)
Renders the candle visually on the chart with customizable colors and styling options
Namespace types: _Candle
Parameters:
this (_Candle)
bullishColor (color)
bearishColor (color)
transp (int)
borderWidth (int)
lineWidth (int)
candles(tf, autoDisplay)
Creates and manages an array of custom timeframe candles with optional automatic display
Parameters:
tf (string) : Target timeframe string (e.g., "60", "240", "D") for candle aggregation
autoDisplay (bool)
Returns: Array containing all completed candles for the specified timeframe
_Candle
Custom candlestick data structure that stores OHLCV data with visual rendering components
Fields:
start (series int) : Opening timestamp of the candle period
end (series int) : Closing timestamp of the candle period
o (series float) : Opening price of the candle
h (series float) : Highest price reached during the candle period
l (series float) : Lowest price reached during the candle period
c (series float) : Closing price of the candle
v (series float) : Volume traded during the candle period
bodyBox (series box)
wickLine (series line)
Example Usage
// Change version with latest version
import EmreKb/Bar/1 as bar
// "240" for 4h timeframe
// true for auto display candles on chart (default: false)
candlesArr = bar.candles("240", true)
Min/Max del PeriodoThe indicator is useful for finding the highs and lows of a given period of time, indicating the level with lines that follow the price and with the possibility of setting the level both on the closes/opens, and on the highs/lows of the candles of the indicated period.
EMA+MACD+RSI+StochJust like SMA but EMA!
this EMA base indicator helps you to find the trend.
use pivot point standard for make better decesion on Long and Short
zuperviewResourcesLibrary "zuperview"
ComputeMAValue(maType, series, period)
ComputeMAValue
@description Computes the moving average (MA) value based on the specified MA type.
Parameters:
maType (string) : (string) The type of moving average: "EMA", "SMA", "RMA", "WMA", "HMA", "VWMA", "LinReg".
series (float) : (float) The input price series (typically close).
period (simple int) : (int) The number of periods used for MA calculation.
Returns: (float) The computed MA value or `na` if maType is invalid.
ComputeATRValue(period)
ComputeATRValue
@description Computes the moving average (ATR) value based on the specified ATR type.
Parameters:
period (int) : (int) The number of periods used for MA calculation.
Returns: (float) The computed ATR value or `na` if maType is invalid.
Max(src, period)
Parameters:
src (float)
period (int)
Min(src, period)
Parameters:
src (float)
period (int)
ComputeRSIValue(src, period, smooth)
ComputeRSIValue
@description Computes the moving average (RSI) value based on the specified RSI type.
Parameters:
src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.
period (int) : (int) The number of periods used for MA calculation.
smooth (int)
Returns: (float) The computed RSI value or `na` if maType is invalid.
ComputeSMMAValue(src, period)
ComputeSMMAValue
@description Computes the moving average (SMMA) value based on the specified SMMA type.
Parameters:
src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.
period (int) : (int) The number of periods used for MA calculation.
Returns: (float) The computed SMMA value or `na` if maType is invalid.
ComputeStochasticValue(src, periodD, periodK, smoothingMethod, smoothingPeriod)
ComputeStochasticValue
@description Computes the moving average (SMMA) value based on the specified SMMA type.
Parameters:
src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.
periodD (simple int) : (int) The number of periods used for MA calculation.
periodK (int) : (int) The number of periods used for MA calculation.
smoothingMethod (string) : (string) The type of moving average: "EMA", "SMA", "RMA", "WMA", "HMA", "VWMA", "LinReg".
smoothingPeriod (simple int) : (int) The number of periods used for MA calculation.
Returns: (float) The computed Stochastic(K, D) value or `na` if maType is invalid.
FindSwingsByNeighborhood(arraySwingTop, arraySwingBottom, neighborhood)
Find Swings By Neighborhood
@description Computes the moving average (SMMA) value based on the specified SMMA type.
Parameters:
arraySwingTop (array) : (array): An array to store detected swing highs.
arraySwingBottom (array) : (array): An array to store detected swing lows.
neighborhood (int) : (int): The number of bars to consider when identifying a swing point.
Returns: none
FindSwingsByOffset(arraySwingTop, arraySwingBottom, minSwingLength)
Find Swings By Offset
@description Identifies swing points based on a minimum swing length criteria.
Parameters:
arraySwingTop (array) : (array): An array to store detected swing highs.
arraySwingBottom (array) : (array): An array to store detected swing lows.
minSwingLength (float) : (float): The minimum price movement required to qualify as a swing point.
Returns: none
SwingPoint
Fields:
Key (series int)
IsTop (series bool)
Price (series float)
BarStart (series int)
BarEnd (series int)
TimeStart (series int)
TimeEnd (series int)
Sign (series int)
Label (series label)
Market Internal Strength (DJI/Nasdaq/S&P)Market Health Dow, Nasdaq & S\&P 500 Breadth
Track the true internal health of the US market's three most important indices the Dow Jones Industrial Average (DJI), the Nasdaq 100 (NDX), and the S\&P 500 (SPX).
Price action alone can be deceiving. A rising index might be driven by only a handful of mega-cap stocks, masking underlying weakness. This indicator provides a crucial look "under the hood" to measure the market's true breadth.
It visualizes the percentage of stocks within each index that are trading above their key moving averages (5, 20, 50, 100, 150, and 200-day). This allows you to instantly gauge whether a market trend is broadly supported by the majority of its constituent stocks.
Key Features
* Covers 3 Major US Indices Seamlessly switch your analysis between the Dow Jones, Nasdaq 100, and S\&P 500.
* Complete Breadth Picture Six MA periods offer a full view, from short-term momentum (5D, 20D) to the long-term institutional trend (150D, 200D).
* Fully Customizable Toggle the visibility of any line and adjust overbought/oversold levels to fit your personal strategy.
How to Use
1. Extreme Readings (Overbought/Oversold)
* Above 80% Signals a very strong, potentially overbought market. Caution is advised as a pullback could be near.
* Below 20% Signals a deeply oversold market, often indicating capitulation and potential buying opportunities.
2. Divergence (Powerful Warning Signal)
* Bearish The index price makes a new high, but this indicator makes a lower high. This warns that the rally is not broad-based and may be losing steam.
* Bullish The index price makes a new low, but this indicator makes a higher low. This suggests internal strength is building and a bottom may be forming.
3. Trend Confirmation
When the long-term lines (150D, 200D) remain high (e.g., \> 50%), the primary market trend is healthy and confirmed.
Master Candle# Master Candle Indicator
## Overview
The Master Candle Indicator identifies and highlights significant price consolidation patterns where multiple candles trade within the high-low range of a single "master" candle. This technical analysis tool helps traders spot potential breakout zones and key support/resistance levels.
## What is a Master Candle?
A Master Candle is a candlestick that contains 4 or more subsequent candles completely within its high-low range. These formations often indicate:
- Market consolidation phases
- Potential breakout areas
- Strong support and resistance levels
- Areas of price compression before significant moves
## Features
✅ **Automatic Detection**: Scans historical data to identify Master Candle patterns
✅ **Visual Highlighting**: Draws colored boxes around detected Master Candles
✅ **Customizable Parameters**: Adjust minimum candles required (2-20)
✅ **Candle Counter**: Shows exact number of candles contained within each Master Candle
✅ **Performance Optimized**: Efficient lookback system with memory management
✅ **Clean Interface**: Non-intrusive visual design that doesn't clutter charts
## How to Use
1. Add the indicator to your chart
2. Adjust the "Minimum candles inside" parameter (default: 4)
3. Set the lookback period for historical scanning (default: 50)
4. Master Candles will be automatically highlighted with colored boxes
5. Use these levels as potential support/resistance zones for your trading strategy
## Settings
- **Minimum candles inside**: Set how many candles must be contained (2-20)
- **Lookback period**: How far back to scan for patterns (10-200 bars)
## Educational Purpose
This indicator is designed for educational and analysis purposes. It helps traders:
- Understand market consolidation patterns
- Identify potential breakout zones
- Recognize key support and resistance areas
- Improve market structure analysis skills
## Technical Details
- Compatible with all timeframes
- Works on any trading instrument
- Optimized for performance with automatic memory management
- Uses historical data analysis for pattern detection
## Important Notes
- This indicator is for educational and analytical purposes only
- Past patterns do not guarantee future results
- Always combine with other analysis tools
- Practice proper risk management in your trading
- Not financial advice - for educational use only
PowerTrend Pro Strategy – Gold OptimizedTired of false signals on Gold?
PowerTrend Pro combines VWAP, Supertrend, RSI, and smart MA filters with trailing stops & break-even logic to deliver high-probability trades on XAUUSD.
PowerTrend Pro Strategy is a professional-grade trading system designed to capture high-probability swing and intraday opportunities on XAUUSD (Gold) and other volatile markets.
🔑 Core Features
VWAP Anchoring – institutional fair value reference to filter trades.
Supertrend (ATR-based) – adaptive trend filter tuned for Gold’s volatility.
Multi-Timeframe RSI – confirms momentum alignment across intraday and higher timeframe.
EMA + SMA Combo – ensures trades follow strong directional bias, reducing false signals.
Dynamic Risk Management
Adjustable Take Profit / Stop Loss (%)
Trailing Stop that locks in profits on extended moves
Break-Even Logic (stop loss moves to entry once price is in profit)
⚡ Gold-Tuned Presets
XAUUSD 1H → tighter TP/SL & faster entries for active intraday trading.
XAUUSD 4H → wider ATR filter & trailing stops to capture bigger swings.
Generic Mode → works on Forex, Indices, and Crypto (fully customizable).
🎯 Why It Works
Gold is notoriously volatile — quick spikes wipe out weak strategies. PowerTrend Pro solves this by combining:
✅ Institutional bias (VWAP)
✅ Adaptive trend filter (Supertrend)
✅ Momentum confirmation (RSI MTF)
✅ Robust trend structure (EMA + SMA)
✅ Smart exits (TP, SL, trailing & breakeven)
This multi-layer confirmation makes entries stronger and keeps risk under control.
🛠️ Usage
Add the strategy to your chart.
Choose a preset (XAUUSD 1H, 4H, or Generic).
Run Strategy Tester for performance metrics.
Optimize TP/SL and ATR values for your broker & market conditions.
🔥 Pro Tip: Combine this strategy with a session filter (London/NY overlap) or volume confirmation to boost accuracy in Gold.
[blackcat] L1 Dual Ehlers Bandpass FilterOVERVIEW
The Dual Ehlers Bandpass Filter combines two bandpass filters tuned to the dominant and subdominant market cycles, creating a powerful signal extraction tool. This indicator uses John Ehlers' advanced digital signal processing techniques to isolate specific frequency components from price data. By mixing the outputs of two bandpass filters, it provides a smoother, more responsive signal that captures both primary and secondary market cycles. The indicator includes divergence detection capabilities and multiple mixing methods for customizable signal extraction.
FEATURES
- Dual bandpass filtering with dominant and subdominant cycle detection
- Multiple dominant cycle calculation methods (HoDyDC, PhAcDC, DuDiDC, CycPer, BPZC)
- Flexible mixing options: weighted, sum, difference, dominant-only, or subdominant-only
- Adjustable bandwidth parameters for both filters
- Built-in divergence detection with customizable lookback periods
- Optional display of individual filter components
- Color-coded signals and alerts for bullish/bearish divergences
HOW TO USE
1. Select your preferred price source (close, high, low, etc.)
2. Choose the dominant cycle calculation method from the available options
3. Set the subdominant cycle ratio (typically 0.1-0.9 of the dominant cycle)
4. Adjust bandwidth parameters for both filters (0.1-1.0 range)
5. Select your preferred mixing method:
- Weighted: Mix based on adjustable weights
- Sum: Add both filter outputs
- Difference: Subtract subdominant from dominant
- Dominant: Show only the dominant filter
- Subdominant: Show only the subdominant filter
6. Enable divergence detection to identify potential trend reversals
7. Optionally enable individual filter plots for analysis
LIMITATIONS
- The indicator requires sufficient historical data for accurate cycle detection
- Dominant cycle calculations may vary significantly during low volatility periods
- Divergence signals are lagging indicators and should be used with confirmation
- Bandpass filters may produce false signals during choppy market conditions
- The indicator is not suitable for all trading styles and timeframes
NOTES
- The indicator uses the blackcat1402/dc_ta library for advanced cycle calculations
- Zero line crossing can indicate potential trend changes
- Positive values typically suggest bullish momentum, negative values bearish momentum
- Divergence signals appear as colored dots and labels on the chart
- Alert conditions are available for both bullish and bearish divergences
THANKS
Special thanks to John Ehlers for his pioneering work in digital signal processing for financial markets.
Simultaneous 1m, 5m, 15m 200 EMAShows 1m, 5m and 15m 200 EMA. Helpful to have a bigger perspective when doing day trading.
FUMO 200 MagnetWhat it does
FUMO Magnet measures how far price has stretched away from its long-term “magnet” — a blended EMA/SMA moving average (200 by default).
It plots a logarithmic deviation (optionally normalized) as an oscillator around zero.
Above 0** → price is above the magnet (stretched up)
Below 0** → price is below the magnet (stretched down)
Guide levels** highlight potential overbought/oversold zones
---
Why log deviation?
Log returns make extremes comparable across cycles and compress exponential trends — especially useful for BTC and other crypto assets.
Normalization modes further adjust the scale, keeping the oscillator readable on any chart.
---
Inputs
**Base**
* Source (default: Close)
* Base Length (default: 200 EMA/SMA)
* EMA vs SMA weight (%) — 0% = pure SMA, 100% = pure EMA, 50% = blended
* EMA smoothing of deviation — acts as a noise filter
**Normalization**
* None (Log Deviation) — raw log stretch in % terms
* Z-score — deviation in standard deviations (σ)
* Robust Z (MAD) — deviation vs median absolute deviation, resistant to outliers
* Tanh squash — smooth nonlinear squash of extremes for compact scale
* Normalization window (for Z / MAD)
* Tanh scale (lower = stronger squash)
* Clamp after normalization — hard cap at ±X
**Levels**
* Guide levels (Upper / Lower) — visual thresholds (default ±12)
* Zero line toggle
---
### How to read it
* **Trend bias**: sustained time above 0 = uptrend, below 0 = downtrend
* **Stretch / mean reversion**: the farther from 0, the higher the reversion risk
* **Cross-checks**: combine with structure (HH/HL, LH/LL), volume, or momentum (RSI, MACD)
---
### Recommended settings by timeframe
**Long-term (1D / 1W)**
* Normalization: None (Log Deviation)
* Base Length: 200
* EMA vs SMA weight: 50% (adjust 35–65% for faster/slower magnet)
* Deviation smoothing: 20 (10–30 range)
* Guide levels: ±12 to ±20
* Use case: cycle extremes, portfolio rebalancing, trim/add logic
**Swing (4H – 1D)**
* Normalization: Z-score
* Window: 200 (100–250)
* Smoothing: 14–20
* Guide levels: ±2σ to ±3σ
* Use case: stretched conditions across regimes; ±3σ is rare, often mean-reverts
**Intraday / Active swing (1H – 4H)**
* Normalization: Robust Z (MAD)
* Window: 200 (150 for faster response)
* Smoothing: 10–16
* Guide levels: ±3 to ±4 (robust units)
* Use case: handles spikes better than σ, fewer false overbought/oversold signals
**Scalping / Universal readability (15m – 1H)**
* Normalization: Tanh squash
* Tanh scale: 6–10 (start with 8)
* Smoothing: 8–12
* Guide levels: ±8 to ±12
* Use case: compact panel across assets and timeframes; not % or σ, but visually consistent
---
### Optional
* Clamp: enable ±20 (or ±25) for strict bounded range (useful for public charts)
---
### Quick setups
**BTC Daily (“cycle view”)**
* Normalization: None
* Blend: 50%
* Smooth: 20
* Levels: ±12–15
**BTC 4H (“swing”)**
* Normalization: Z-score
* Window: 200
* Smooth: 16
* Levels: ±2.5σ to ±3σ
**Alts 1H (“volatile”)**
* Normalization: Robust Z (MAD)
* Window: 200
* Smooth: 12
* Levels: ±3.5 to ±4.5
**Mixed assets 15m (“compact panel”)**
* Normalization: Tanh squash
* Scale: 8
* Smooth: 10
* Levels: ±8–12
* Clamp: ±20
Ludvig Indicator PROThe Ludvig Indicator is designed to identify high-probability breakout setups by combining trend, volume, volatility, and relative strength filters. It helps you enter stocks (or ETFs/crypto) when institutional money is likely flowing in, while avoiding false breakouts and weak trends.
🔑 Core Features
Zero-Lag EMA (ZLEMA)
Faster, less lagging trend detection compared to traditional EMAs.
Used as the basis for dynamic ATR bands.
ATR Volatility Bands
Adaptive bands based on the Average True Range (ATR).
Define the zone where price must close outside to confirm trend strength.
Breakout Confirmation
Requires price to close above recent highs (lookback configurable).
Ensures signals are “true breakouts,” not just noise around moving averages.
Volume Filter (Relative Volume)
Validates breakouts with significantly higher volume than average.
Prevents low-liquidity signals from triggering.
Trend Strength (ADX)
Built-in ADX calculation ensures only strong, trending moves are considered.
Default filter: ADX ≥ 18 (configurable).
Relative Strength vs. Benchmark
Compares the asset’s momentum against a benchmark (default: SPY).
Only signals when the asset is outperforming the benchmark.
Useful for sector rotation and picking leaders instead of laggards.
Alerts & Signals
Breakout entries are marked with small green triangles.
Built-in alerts for automated notifications (TradingView alerts).
Sweep2Trade Pro [CHE]Sweep2Trade Pro \ — Liquidity Sweep → Trend → Confirmation
Sweep2Trade Pro \ helps you catch high-probability reversals or continuations that start with a liquidity sweep, align with the T3 trend, and finalize with a structure confirmation (BOS). It’s designed to reduce noise, time your entries, and keep you out of weak, chop-driven signals.
What’s a “sweep”?
A liquidity sweep happens when price briefly breaks a prior swing high/low (where many stops sit), triggers those stops, and then snaps back. This “stop-hunt” creates liquidity for bigger players and often precedes a sharp move in the opposite direction if the break fails, or fuels continuation if structure actually shifts.
What’s a BOS (Break of Structure)?
A BOS is a price action event where the market takes out a recent swing level in the trend’s direction, signaling continuation and confirming that structure has shifted (bullish BOS through a recent swing high, bearish BOS through a recent swing low).
How the indicator works (at a glance)
1. Regime Filter (T3 + R²)
T3 Moving Average: A smoother, faster-responding moving average that aims to reduce lag while filtering noise, so trend direction changes are clearer.
R² (Coefficient of Determination): Measures how “linear” the recent price path is (0→1). Higher values = stronger, cleaner trend; lower values = more chop. Used here to allow trades only when trend quality exceeds a user-set threshold.
2. Sweep Detection
Bullish sweep: price pokes below a prior swing low and closes back above it.
Bearish sweep: price pokes above a prior swing high and closes back below it.
Lookback length is configurable.
3. Sequence Lock (built-in FSM)
The script manages state in phases so you don’t jump the gun:
Phase 1: Sweep detected → wait for T3 to turn in the corresponding direction.
Phase 2: T3 direction confirmed → show “SWEEP OK” and wait for final confirmation.
Trade Signal: Only fires if confirmation arrives before a timeout.
4. Confirmation Layer
BOS via wick or close (you choose),
Strong close toward the signal (top/bottom quartile of the candle),
Optional “close above/below T3” condition.
These checks help avoid weak sweeps that immediately fade.
5. Alerts & Visuals
“SWEEP OK” markers show when the sweep + T3 direction align.
Final BUY/SELL arrows appear only when the confirmation layer passes.
Ready-made alert conditions for automation.
What you can do with it
Time reversals after sweeps: Enter when a stop-hunt fades and structure confirms.
Ride continuations: Use BOS with the T3 trend to pyramid or re-enter with structure on your side.
Filter chop: Let R² gate entries to periods with cleaner directional drift.
Automate: Use the included alerts with your platform or webhook setup.
Inputs (key settings)
Regime Filter
T3 Length / Volume Factor: Controls smoothness and responsiveness. Smaller length → faster, more sensitive; higher volume factor → smoother curve.
R² Lookback & Threshold: Length of the linear fit window and the minimum “trend quality” required. Higher thresholds mean fewer, cleaner signals.
Sweep / Sequence
Swing Lookback: How far back to define the “reference” high/low for sweeps.
Timeout: Maximum bars allowed between phases to keep signals fresh.
Restart timeout on Phase 2: Optional safety so entries don’t go stale.
Confirmation
BOS Lookback: Micro-pivot window for structure breaks.
Wick vs Close BOS: Conservative traders may prefer close.
Require close above/below T3: Tightens confirmation with trend alignment.
Practical guide (quick start)
1. Timeframe & markets: Works across majors, indices, and crypto. Start with 5m–1h intraday or 1h–4h swing; adjust R² threshold upward on noisier pairs.
2. Entry recipe (Long):
Bullish sweep of a prior low → T3 turns up → BOS/strong close.
Optional: enable “close above T3” for extra confirmation.
3. Entry recipe (Short): Mirror the above.
4. Stops: Common choices are just beyond the sweep wick (tighter) or past the BOS invalidation (safer).
5. Targets: Previous structural levels, measured move, or a T3 trail (exit when price closes back through T3).
6. Avoid low-quality contexts: If R² is very low, market is likely ranging erratically—skip or widen filters.
Tips & best practices
Context first: The same sweep means different things in a strong trend vs. flat regime; that’s why the T3+R² filter exists.
BOS choice: Wick-based BOS is earlier but noisier; close-based BOS is slower but cleaner. Tune per market.
Backtest -> Forward test: Validate settings per symbol/timeframe; then paper trade before going live.
Risk: Fixed fractional risk with asymmetric R\:R (e.g., 1:1.5–1:3) generally performs better than “all-in” discretionary sizing.
Behind the scenes (for the curious)
T3 is a multi-stage EMA construction that produces a smooth curve with reduced lag versus simple/standard EMAs.
R² is the square of correlation (0–1). Here it’s used as a moving gauge of how well price aligns to a linear path—our “trend quality” dial.
Stop-hunts / sweeps are a recognized microstructure phenomenon where clustered stops provide the liquidity that fuels the next move.
Disclaimer
No indicator guarantees profits. Sweep2Trade Pro \ is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
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Enhance your trading precision and confidence 🚀
Happy trading
Chervolino
Stoch TraderSimple example strategy that has greater than 60% win rate on 1m, 3m, and 5m views. Using something as simple as this with leverage can produce decent returns within 15-30min. It's also very easy to lose money doing this.
[blackcat] L1 Value Trend IndicatorOVERVIEW
The L1 Value Trend Indicator is a sophisticated technical analysis tool designed for TradingView users seeking advanced market trend identification and trading signals. This comprehensive indicator combines multiple analytical techniques to provide traders with a holistic view of market dynamics, helping identify potential entry and exit points through various signal mechanisms. 📈 It features a main Value Trend line along with a lagged version, golden cross and dead cross signals, and multiple technical indicators including RSI, Williams %R, Stochastic %K/D, and Relative Strength calculations. The indicator also includes reference levels for support and resistance analysis, making it a versatile tool for both short-term and long-term trading strategies. ✅
FEATURES
📈 Primary Value Trend Line: Calculates a smoothed value trend using a combination of SMA and custom smoothing techniques
🔍 Value Trend Lag: Implements a lagged version of the main trend line for cross-over analysis
🚀 Golden Cross & Dead Cross Signals: Identifies buy/sell opportunities when the main trend line crosses its lagged version
💸 Multi-Indicator Integration: Combines multiple technical analysis tools for comprehensive market view
📊 RSI Calculations: Includes 6-period, 7-period, and 13-period RSI calculations for momentum analysis
📈 Williams %R: Provides overbought/oversold conditions using the Williams %R formula
📉 Stochastic Oscillator: Implements both Stochastic %K and %D calculations for momentum confirmation
📋 Relative Strength: Calculates relative strength based on highest highs and current price
✅ Visual Labels: Displays BUY and SELL labels on chart when crossover conditions are met
📣 Alert Conditions: Provides automated alert conditions for golden cross and dead cross events
📌 Reference Levels: Plots entry (25) and exit (75) reference lines for support/resistance analysis
HOW TO USE
Copy the Script: Copy the complete Pine Script code from the original file
Open TradingView: Navigate to TradingView website or application
Access Pine Editor: Go to the Pine Script editor (usually found in the chart toolbar)
Paste Code: Paste the copied script into the editor
Save Script: Save the script with a descriptive name like " L1 Value Trend Indicator"
Select Chart: Choose the chart where you want to apply the indicator
Add Indicator: Apply the indicator to your chart
Configure Parameters: Adjust input parameters to customize behavior
Monitor Signals: Watch for golden cross (BUY) and dead cross (SELL) signals
Use Reference Levels: Monitor entry (25) and exit (75) lines for support/resistance levels
LIMITATIONS
⚠️ Potential Repainting: The script may repaint due to lookahead bias in some calculations
📉 Lookahead Bias: Some calculations may reference future values, potentially causing repainting issues
🔄 Parameter Sensitivity: Results may vary significantly with different parameter settings
📉 Computational Complexity: May impact chart performance with heavy calculations on large datasets
📊 Resource Usage: Requires significant processing power for multiple indicator calculations
🔄 Data Sensitivity: Results may be affected by data quality and market conditions
NOTES
📈 Signal Timing: Cross-over signals may lag behind actual price movements
📉 Parameter Optimization: Optimal parameters may vary by market conditions and asset type
📋 Market Conditions: Performance may vary significantly across different market environments
📈 Multi-Indicator: Combine signals with other technical indicators for confirmation
📉 Timeframe Analysis: Use multiple timeframes for enhanced signal accuracy
📋 Volume Analysis: Incorporate volume data for additional confirmation
📈 Strategy Integration: Consider using this indicator as part of a broader trading strategy
📉 Risk Management: Use signals as part of a comprehensive risk management approach
📋 Backtesting: Test parameter combinations with historical data before live trading
THANKS
🙏 Original Creator: blackcat1402 creates the L1 Value Trend Indicator
📚 Community Contributions: Recognition to TradingView community for continuous improvements and contributions
📈 Collaborative Development: Appreciation for collaborative efforts in enhancing technical analysis tools
📉 TradingView Community: Special thanks to TradingView community members for their ongoing support and feedback
📋 Educational Resources: Recognition of educational resources that helped in understanding technical analysis principles
