SB - VWDEMAScalping @ 1 Minute time frame.
Rules : -
1. Call entry - If Dema and ATR both turns green ( 1 minute TF )
2. Put Entry - If Dema and ATR both turns red ( 1minute TF )
If one is red and other is green wait till both align in same direction.
Vwap - Price above VWAP, call side entry will be rewarded well ( Try to find entry in calls) and if price is below Vwap Put side entry will be rewarded well ( Try to find entry in Puts).
Exit - Follow ATR stop loss line at 1 minute TF ( candle closing basis ).
Can be used on option charts directly.
Best results - Nifty derivatives @ 1 Minute TF, however it can work well with other instruments too.
Make your display setting as per your convenience.
Cari skrip untuk "scalping"
US100 Liquidity Precision StrategyScalping strategy 5-10 point sl / 17 points tp
Automatic BE
Consistent money over time
Scalping all timeframe EMA & RSIEMA 50 and EMA 100 combined with RSI 14
Should also be accompanied by the RSI 14 chart.
With the following conditions:
IF the EMAs are close but not crossing:
* Be prepared to take a Sell position if the first Bearish Candlestick crosses the lowest EMA, and the RSI value is equal to or below 40.
* Be prepared to take a Buy position if the first Bullish Candlestick crosses the highest EMA, and the RSI value is equal to or above 60.
IF the EMAs are overlapping and crossing:
* Be prepared to take a Sell position if the first Bearish Candlestick crosses both EMAs, and the RSI value crosses below 50.
*Be prepared to take a Buy position if the first Bullish Candlestick crosses both EMAs, and the RSI value crosses above 50.
Scalping System by Machine# Custom Trading System Indicator
This Pine Script indicator is designed to identify potential trading setups based on a specific set of rules. It's intended for use on lower timeframes (M1-M5) in the forex market, particularly during the New York-London overlap period.
## Key Features
1. **EMA Condition**: Uses a 20-period Exponential Moving Average (EMA) to determine trend direction.
2. **Candle Analysis**: Identifies strong bars and candle color changes.
3. **Volume Confirmation**: Checks for increasing volume.
4. **Volatility Filter**: Utilizes the Average True Range (ATR) to gauge market volatility.
5. **Time-based Filter**: Highlights the New York-London overlap period.
6. **Visual Aids**: Plots potential entry points, stop losses, and take profit levels.
## Trading Rules
1. **Buy Signal**:
- Price is above the 20 EMA
- Candle color changes from red to green
- Current candle is a strong bar (closing within 75% of its range)
- Volume is higher than the previous bar
- ATR(14) is above 4 pips OR it's during the NY-London overlap
2. **Sell Signal**:
- Price is below the 20 EMA
- Candle color changes from green to red
- Current candle is a strong bar (closing within 75% of its range)
- Volume is higher than the previous bar
- ATR(14) is above 4 pips OR it's during the NY-London overlap
3. **Stop Loss**: Placed near the low of the setup candle for buys, or near the high for sells.
4. **Take Profit**: Aimed at 1R (one times the range of the setup candle).
## Visual Elements
- **20 EMA**: Plotted as a blue line on the chart.
- **Buy Signals**: Green triangles below the candles.
- **Sell Signals**: Red triangles above the candles.
- **Stop Loss Levels**: Small red dots at the calculated stop loss prices.
- **Take Profit Levels**: Small green dots at the calculated take profit prices.
- **Information Table**: Displays current values for ATR, strong bar condition and volume condition.
## Usage Notes
1. This indicator is designed for manual trading, not automated execution.
2. It works best when combined with analysis of major trend lines, support, and resistance levels.
3. Exercise caution with very large setup candles.
4. Consider additional filters or money management rules for enhanced performance.
5. For higher timeframe bias validation, consider incorporating a 100-period break of structure (BOS) analysis.
## Customization
The indicator includes several input parameters that can be adjusted:
- EMA Length
- ATR Length and Threshold
- Volume Multiplier
- Strong Bar Percentage
Users can also toggle the visibility of stop loss and take profit markers.
Remember, while this indicator can identify potential setups, it should be used in conjunction with other forms of analysis and risk management strategies. Always consider the overall market context and your personal risk tolerance when making trading decisions.
Scalping CPRFetch Previous Day's Data:
Uses request.security to get the previous day's high, low, and close prices.
lookahead=barmerge.lookahead_on ensures the data fetched is fixed for the current session.
Calculate CPR Levels:
Pivot: Average of the previous day's high, low, and close.
Bottom Central Pivot (BC): Average of the previous day's high and low.
Top Central Pivot (TC): Derived from the pivot and BC.
R1 and S1: First resistance and support levels calculated from the pivot and previous day's prices.
Plotting:
Plots the CPR levels (pivot, BC, TC, R1, S1) on the chart with different colors.
Scalping 1minMost trustworthy indicator for 1 minutes trader! This indicator is the same as the Bollinger band but much more reliable with extremely on-point signals! a lower line means buy, upper lines mean sell, the middle line is an extremely powerline so trade on the middle line will be mostly profitable!
Scalping Trading System ALERT Crypto and StocksThis is the alert version of the strategy with the same name.
Indicators
SImple Moving Average
Exponential Moving Average
Keltner Channels
MACD Histogram
Stochastics
Rules for entry
long= Close of the candle bigger than both moving averages and close of the candle is between the top and bot levels from Keltner . At the same time the macd histogram is negative and stochastic is below 50.
short= Close of the candle smaller than both moving averages and close of the candle is between the top and bot levels from Keltner . At the same time the macd histogram is positive and stochastic is above 50.
Rules for exit
We exit when we meet an opposite reverse order.
This strategy has no risk management inside, so use it with caution !
Scalping EMA ADX RSI with Buy/Sell AlertsThis is a study indicator that shows the entries in the strategy seen in one of the youtube channel so it does not belong to me. I can't tell who it is because it's against the House Rules to advertise but you can find out if you look for it on youtube. Default values of oscilators and ema adjusted as suggested. He says he got the best results in 5 min timeframe but i tried to make things as modifiable as possible so you can mess around with the settings and create your own strategy for different timeframes if you'd like. Suggested to use with normal candlestick charts. The blue line below indicates the ADX is above the selected threshold set in the settings named "Trend Ready Limit". You can set alerts for Buy, Sell or Buy/Sell signal together.
The entry strategy itself is pretty straight forward.
The rules for entry are as follows, the script will check all of this on auto and will give you buy or sell signal :
Recommended time frame: 5 min
For Long Entry:
- Check if price above the set EMA (Can disable this rule if you'd like in the settings)
- RSI is in Oversold
- ADX is above set "Trend Ready" threshold (Meaning there is a trend going on)
- Price must approve the trend of previous candles. This is bullish for buy entries and bearish for sell entries.
- Enter with stop loss below last swing low with 1:1 or 1.5:1 take profit ratio.
For Short Entry:
- Check if price below the set EMA (Can disable this rule if you'd like in the settings)
- RSI is in Overbought
- ADX is above set "Trend Ready" threshold (Meaning there is a trend going on)
- Price must approve the trend of previous candles. This is bullish for buy entries and bearish for sell entries.
- Enter with stop loss above last swing high with 1:1 or 1.5:1 take profit ratio.
This is my first indicator. Let me know if you want any updates. I am not sure if i can add everything but i'll try nonetheless.
Changed: Signals will check up to 2 candles before if the RSI is below or above the set value to show signal. This is because sometimes the entry signal is right but the response might be a bit late.
Scalping Dips On Trend (by Coinrule)Coinrule's Community is an excellent source of inspiration for our trading strategies.
In these months of Bull Market, our traders opted mostly on buy-the-dips strategies, which resulted in great returns recently. But there has been an element that turned out to be the cause for deep division among the Community.
Is it advisable or not to use a stop-loss during a Bull Market?
This strategy comes with a large stop-loss to offer a safer alternative for those that are not used to trade with a downside protection.
Entry
The strategy buys only when the price is above the Moving Average 50 , making it less risky to buy the dip, which is set to 2%.
The preferred time frame is 1-hour.
The stop-loss is set to be quite loose to increase the chances of closing the trade in profit, yet protecting from unexpected larger drawdowns that could undermine the allocation's liquidity.
Exit
Stop loss: 10%
Take Profit: 3%
In times of Bull Market, such a trading system has a very high percentage of trades closed in profit (ranging between 70% to 80%), which makes it still overall profitable to have a stop-loss three times larger than the take profit.
Pro tip: use a larger stop-loss only when you expect to close in profit most of the trades!
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
Market Breadth MomentumThe indicator operates by fetching data from external tickers (usually market internal symbols like ATHI and ATLO) and processing them through a momentum filter. It aims to identify "breadth thrusts" or exhaustion points before they become obvious on a standard price chart.
Key ComponentsCustom Data Inputs: By default, it uses New Highs and New Lows tickers. You can toggle between calculating the Net difference (Highs minus Lows) or a Ratio (Highs divided by Lows).
Dual Mode Logic:Raw Mode: Visualizes the raw spread between highs and lows.Momentum Mode: Applies a McClellan-style calculation (Fast EMA minus Slow EMA) to show the rate of change in market breadth.Signal Line: Includes a 9-period EMA (Signal Line) to help identify trend shifts and provide crossover alerts.
Visual InterpretationThe indicator is displayed in a separate pane below the price chart:ElementDescription
Teal ColumnsIndicate that the breadth momentum is increasing (bullish divergence or strengthening trend).
Maroon Columns Indicate that the breadth momentum is decreasing (bearish divergence or weakening trend).Orange LineThe Signal Line; used to smooth out noise and provide entry/exit triggers.Zero LineThe "neutral" mark. Values above zero generally suggest bullish internal health; values below suggest bearish.
Identifying Divergences
If the S&P 500 is making new price highs, but the Breadth Momentum histogram is making lower highs, it suggests the rally is losing participation. This is often a precursor to a market correction.
Momentum Crossovers
A common signal is the "Signal Line Cross." When the columns cross above the orange Signal Line, it indicates a short-term surge in market participation (a "Thrust").
Mean Reversion
Extreme extensions away from the Zero Line (either positive or negative) can signal that the market is overbought or oversold on an internal level, regardless of what the price action looks like.
Settings & Inputs
New Highs/Lows Ticker: Ensure these match the symbols provided by your broker (e.g., HI_NY or ATHI).
Fast/Slow EMA: Standard settings are 19 and 39 (McClellan defaults), but these can be tightened for faster scalping or widened for long-term trend following.
Show Momentum: Toggle this off if you simply want to see the raw "Net Highs" data without the EMA smoothing.
Trinity Trend Dashboard"Trinity Trend Dashboard with Trend Alerts & Custom Colors" indicator
### Trading Dashboard โ Quick User Guide
**Purpose**
This indicator displays a compact status dashboard showing how the current price relates to several key levels:
- Previous day's VWAP
- Current (session) VWAP
- Previous day's High
- Previous day's Low
- Donchian Channel basis line (midpoint of highest high / lowest low over chosen period)
Each level shows whether price is **Above** (bullish) or **Below** (bearish), with colored backgrounds to make it instantly readable.
An **overall trend summary** combines all five signals into one clear status:
- **Strong Bullish** โ all 5 signals are bullish
- **Strong Bearish** โ all 5 signals are bearish
- **Mixed Trend** โ anything in between
**How to Read the Dashboard**
- **Left column** = name of the level
- **Right column** = current price position ("Above" or "Below")
- **Green background** = price is above the level (bullish signal)
- **Red background** โ price is below the level (bearish signal)
- **Bottom merged row** = overall trend verdict + large colored background
**Key Settings You Can Change**
- **Table Position** โ top-right (default), top-left, bottom-left, bottom-right
- **Font Size** โ tiny / small (default) / normal / large
- **Donchian Channel Period** โ default 20 bars (classic value; adjust for faster/slower basis line)
- **Colors** (fully customizable):
- Left column text color (default: yellow)
- Bullish background (default: lime green)
- Bearish background (default: red)
- Mixed trend background (default: gray)
- Header background & text color
- **Alert toggles** โ turn on/off notifications for:
- Trend changed โ Strong Bullish
- Trend changed โ Strong Bearish
- Trend changed โ Mixed Trend
**Alerts**
Alerts fire only when the **overall trend status changes** (e.g. Mixed โ Strong Bullish).
Recommended setup in TradingView:
1. Add the indicator to chart
2. Create alert โ select this indicator
3. Condition = "Any alert() function call"
4. Frequency = "Once Per Bar Close" (cleanest for daily/lower-timeframe use)
5. Add your preferred notification (popup, email, webhook, etc.)
**Tips for Best Use**
- Works on any timeframe, but shines on intraday charts (5 min โ 1 hour) when using daily previous levels.
- Previous-day levels update automatically at the start of each new trading day.
- On very low-liquidity symbols, VWAP may behave differently โ test first.
- For scalping/day trading: watch when overall status flips to Strong Bullish/Bearish โ often strong momentum confirmation.
- Customize colors so they stand out clearly against your chart background (e.g. darker green/red if chart is bright).
Enjoy cleaner, faster decision-making โ all important levels in one glance!
Luxy Super-Duper SuperTrend Predictor Engine and Buy/Sell signalA professional trend-following grading system that analyzes historical trend
patterns to provide statistical duration estimates using advanced similarity
matching and k-nearest neighbors analysis. Combines adaptive Supertrend with
intelligent duration statistics, multi-timeframe confluence, volume confirmation,
and quality scoring to identify high-probability setups with data-driven
target ranges across all timeframes.
Note: All duration estimates are statistical calculations based on historical data, not guarantees of future performance.
WHAT MAKES THIS DIFFERENT
Unlike traditional SuperTrend indicators that only tell you trend direction, this system answers the critical question: "What is the typical duration for trends like this?"
The Statistical Analysis Engine:
โข Analyzes your chart's last 15+ completed SuperTrend trends (bullish and bearish separately)
โข Uses k-nearest neighbors similarity matching to find historically similar setups
โข Calculates statistical duration estimates based on current market conditions
โข Learns from estimation errors and adapts over time (Advanced mode)
โข Displays visual duration analysis box showing median, average, and range estimates
โข Tracks Statistical accuracy with backtest statistics
Complete Trading System:
โข Statistical trend duration analysis with three intelligence levels
โข Adaptive Supertrend with dynamic ATR-based bands
โข Multi-timeframe confluence analysis (6 timeframes: 5M to 1W)
โข Volume confirmation with spike detection and momentum tracking
โข Quality scoring system (0-70 points) rating each setup
โข One-click preset optimization for all trading styles
โข Anti-repaint guarantee on all signals and duration estimates
METHODOLOGY CREDITS
This indicator's approach is inspired by proven trading methodologies from respected market educators:
โข Mark Minervini - Volatility Contraction Pattern (VCP) and pullback entry techniques
โข William O'Neil - Volume confirmation principles and institutional buying patterns (CANSLIM methodology)
โข Dan Zanger - Volatility expansion entries and momentum breakout strategies
Important: These are educational references only. This indicator does not guarantee any specific trading results. Always conduct your own analysis and risk management.
KEY FEATURES
1. TREND DURATION ANALYSIS SYSTEM - The Core Innovation
The statistical analysis engine is what sets this indicator apart from standard SuperTrend systems. It doesn't just identify trend changes - it provides statistical analysis of potential duration.
How It Works:
Step 1: Historical Tracking
โข Automatically records every completed SuperTrend trend (duration in bars)
โข Maintains separate databases for bullish trends and bearish trends
โข Stores up to 15 most recent trends of each type
โข Captures market conditions at each trend flip: volume ratio, ATR ratio, quality score, price distance from SuperTrend, proximity to support/resistance
Step 2: Similarity Matching (k-Nearest Neighbors)
โข When new trend begins, system compares current conditions to ALL historical flips
โข Calculates similarity score based on:
- Volume similarity (30% weight) - Is volume behaving similarly?
- Volatility similarity (30% weight) - Is ATR/volatility similar?
- Quality similarity (20% weight) - Is setup strength comparable?
- Distance similarity (10% weight) - Is price distance from ST similar?
- Support/Resistance proximity (10% weight) - Similar structural context?
โข Selects the 15 MOST SIMILAR historical trends (not just all trends)
โข This is like asking: "When conditions looked like this before, how long did trends last?"
Step 3: Statistical Analysis
โข Calculates median duration (most common outcome)
โข Calculates average duration (mean of similar trends)
โข Determines realistic range (min to max of similar trends)
โข Applies exponential weighting (recent trends weighted more heavily)
โข Outputs confidence-weighted statistical estimate
Step 4: Advanced Intelligence (Advanced Mode Only)
The Advanced mode applies five sophisticated multipliers to refine estimates:
A) Market Structure Multiplier (ยฑ30%):
โข Detects nearby support/resistance levels using pivot detection
โข If flip occurs NEAR a key level: Estimate adjusted -30% (expect bounce/rejection)
โข If flip occurs in open space: Estimate adjusted +30% (clear path for continuation)
โข Uses configurable lookback period and ATR-based proximity threshold
B) Asset Type Multiplier (ยฑ40%):
โข Adjusts duration estimates based on asset volatility characteristics
โข Small Cap / Biotech: +40% (explosive, extended moves)
โข Tech Growth: +20% (momentum-driven, longer trends)
โข Blue Chip / Large Cap: 0% (baseline, steady trends)
โข Dividend / Value: -20% (slower, grinding trends)
โข Cyclical: Variable based on macro regime
โข Crypto / High Volatility: +30% (parabolic potential)
C) Flip Strength Multiplier (ยฑ20%):
โข Analyzes the QUALITY of the trend flip itself
โข Strong flip (high volume + expanding ATR + quality score 60+): +20%
โข Weak flip (low volume + contracting ATR + quality score under 40): -20%
โข Logic: Historical data shows that powerful flips tend to be followed by longer trends
D) Error Learning Multiplier (ยฑ15%):
โข Tracks Statistical accuracy over last 10 completed trends
โข Calculates error ratio: (estimated duration / Actual Duration)
โข If system consistently over-estimates: Apply -15% correction
โข If system consistently under-estimates: Apply +15% correction
โข Learns and adapts to current market regime
E) Regime Detection Multiplier (ยฑ20%):
โข Analyzes last 3 trends of SAME TYPE (bull-to-bull or bear-to-bear)
โข Compares recent trend durations to historical average
โข If recent trends 20%+ longer than average: +20% adjustment (trending regime detected)
โข If recent trends 20%+ shorter than average: -20% adjustment (choppy regime detected)
โข Detects whether market is in trending or mean-reversion mode
Three analysis modes:
SIMPLE MODE - Basic Statistics
โข Uses raw median of similar trends only
โข No multipliers, no adjustments
โข Best for: Beginners, clean trending markets
โข Fastest calculations, minimal complexity
STANDARD MODE - Full Statistical Analysis
โข Similarity matching with k-nearest neighbors
โข Exponential weighting of recent trends
โข Median, average, and range calculations
โข Best for: Most traders, general market conditions
โข Balance of accuracy and simplicity
ADVANCED MODE - Statistics + Intelligence
โข Everything in Standard mode PLUS
โข All 5 advanced multipliers (structure, asset type, flip strength, learning, regime)
โข Highest Statistical accuracy in testing
โข Best for: Experienced traders, volatile/complex markets
โข Maximum intelligence, most adaptive
Visual Duration Analysis Box:
When a new trend begins (SuperTrend flip), a box appears on your chart showing:
โข Analysis Mode (Simple / Standard / Advanced)
โข Number of historical trends analyzed
โข Median expected duration (most likely outcome)
โข Average expected duration (mean of similar trends)
โข Range (minimum to maximum from similar trends)
โข Advanced multipliers breakdown (Advanced mode only)
โข Backtest accuracy statistics (if available)
The box extends from the flip bar to the estimated endpoint based on historical data, giving you a visual target for trend duration. Box updates in real-time as trend progresses.
Backtest & Accuracy Tracking:
โข System backtests its own duration estimates using historical data
โข Shows accuracy metrics: how well duration estimates matched actual durations
โข Tracks last 10 completed duration estimates separately
โข Displays statistics in dashboard and duration analysis boxes
โข Helps you understand statistical reliability on your specific symbol/timeframe
Anti-Repaint Guarantee:
โข duration analysis boxes only appear AFTER bar close (barstate.isconfirmed)
โข Historical duration estimates never disappear or change
โข What you see in history is exactly what you would have seen real-time
โข No future data leakage, no lookahead bias
2. INTELLIGENT PRESET CONFIGURATIONS - One-Click Optimization
Unlike indicators that require tedious parameter tweaking, this system includes professionally optimized presets for every trading style. Select your approach from the dropdown and ALL parameters auto-configure.
"AUTO (DETECT FROM TF)" - RECOMMENDED
The smartest option: automatically selects optimal settings based on your chart timeframe.
โข 1m-5m charts โ Scalping preset (ATR: 7, Mult: 2.0)
โข 15m-1h charts โ Day Trading preset (ATR: 10, Mult: 2.5)
โข 2h-4h-D charts โ Swing Trading preset (ATR: 14, Mult: 3.0)
โข W-M charts โ Position Trading preset (ATR: 21, Mult: 4.0)
Benefits:
โข Zero configuration - works immediately
โข Always matched to your timeframe
โข Switch timeframe = automatic adjustment
โข Perfect for traders who use multiple timeframes
"SCALPING (1-5M)" - Ultra-Fast Signals
Optimized for: 1-5 minute charts, high-frequency trading, quick profits
Target holding period: Minutes to 1-2 hours maximum
Best markets: High-volume stocks, major crypto pairs, active futures
Parameter Configuration:
โข Supertrend: ATR 7, Multiplier 2.0 (very sensitive)
โข Volume: MA 10, High 1.8x, Spike 3.0x (catches quick surges)
โข Volume Momentum: AUTO-DISABLED (too restrictive for fast scalping)
โข Quality minimum: 40 points (accepts more setups)
โข Duration Analysis: Uses last 15 trends with heavy recent weighting
Trading Logic:
Speed over precision. Short ATR period and low multiplier create highly responsive SuperTrend. Volume momentum filter disabled to avoid missing fast moves. Quality threshold relaxed to catch more opportunities in rapid market conditions.
Signals per session: 5-15 typically
Hold time: Minutes to couple hours
Best for: Active traders with fast execution
"DAY TRADING (15M-1H)" - Balanced Approach
Optimized for: 15-minute to 1-hour charts, intraday moves, session-based trading
Target holding period: 30 minutes to 8 hours (within trading day)
Best markets: Large-cap stocks, major indices, established crypto
Parameter Configuration:
โข Supertrend: ATR 10, Multiplier 2.5 (balanced)
โข Volume: MA 20, High 1.5x, Spike 2.5x (standard detection)
โข Volume Momentum: 5/20 periods (confirms intraday strength)
โข Quality minimum: 50 points (good setups preferred)
โข Duration Analysis: Balanced weighting of recent vs historical
Trading Logic:
The most balanced configuration. ATR 10 with multiplier 2.5 provides steady trend following that avoids noise while catching meaningful moves. Volume momentum confirms institutional participation without being overly restrictive.
Signals per session: 2-5 typically
Hold time: 30 minutes to full day
Best for: Part-time and full-time active traders
"SWING TRADING (4H-D)" - Trend Stability
Optimized for: 4-hour to Daily charts, multi-day holds, trend continuation
Target holding period: 2-15 days typically
Best markets: Growth stocks, sector ETFs, trending crypto, commodity futures
Parameter Configuration:
โข Supertrend: ATR 14, Multiplier 3.0 (stable)
โข Volume: MA 30, High 1.3x, Spike 2.2x (accumulation focus)
โข Volume Momentum: 10/30 periods (trend stability)
โข Quality minimum: 60 points (high-quality setups only)
โข Duration Analysis: Favors consistent historical patterns
Trading Logic:
Designed for substantial trend moves while filtering short-term noise. Higher ATR period and multiplier create stable SuperTrend that won't flip on minor corrections. Stricter quality requirements ensure only strongest setups generate signals.
Signals per week: 2-5 typically
Hold time: Days to couple weeks
Best for: Part-time traders, swing style
"POSITION TRADING (D-W)" - Long-Term Trends
Optimized for: Daily to Weekly charts, major trend changes, portfolio allocation
Target holding period: Weeks to months
Best markets: Blue-chip stocks, major indices, established cryptocurrencies
Parameter Configuration:
โข Supertrend: ATR 21, Multiplier 4.0 (very stable)
โข Volume: MA 50, High 1.2x, Spike 2.0x (long-term accumulation)
โข Volume Momentum: 20/50 periods (major trend confirmation)
โข Quality minimum: 70 points (excellent setups only)
โข Duration Analysis: Heavy emphasis on multi-year historical data
Trading Logic:
Conservative approach focusing on major trend changes. Extended ATR period and high multiplier create SuperTrend that only flips on significant reversals. Very strict quality filters ensure signals represent genuine long-term opportunities.
Signals per month: 1-2 typically
Hold time: Weeks to months
Best for: Long-term investors, set-and-forget approach
"CUSTOM" - Advanced Configuration
Purpose: Complete manual control for experienced traders
Use when: You understand the parameters and want specific optimization
Best for: Testing new approaches, unusual market conditions, specific instruments
Full control over:
โข All SuperTrend parameters
โข Volume thresholds and momentum periods
โข Quality scoring weights
โข analysis mode and multipliers
โข Advanced features tuning
Preset Comparison Quick Reference:
Chart Timeframe: Scalping (1M-5M) | Day Trading (15M-1H) | Swing (4H-D) | Position (D-W)
Signals Frequency: Very High | High | Medium | Low
Hold Duration: Minutes | Hours | Days | Weeks-Months
Quality Threshold: 40 pts | 50 pts | 60 pts | 70 pts
ATR Sensitivity: Highest | Medium | Lower | Lowest
Time Investment: Highest | High | Medium | Lowest
Experience Level: Expert | Advanced | Intermediate | Beginner+
3. QUALITY SCORING SYSTEM (0-70 Points)
Every signal is rated in real-time across three dimensions:
Volume Confirmation (0-30 points):
โข Volume Spike (2.5x+ average): 30 points
โข High Volume (1.5x+ average): 20 points
โข Above Average (1.0x+ average): 10 points
โข Below Average: 0 points
Volatility Assessment (0-30 points):
โข Expanding ATR (1.2x+ average): 30 points
โข Rising ATR (1.0-1.2x average): 15 points
โข Contracting/Stable ATR: 0 points
Volume Momentum (0-10 points):
โข Strong Momentum (1.2x+ ratio): 10 points
โข Rising Momentum (1.0-1.2x ratio): 5 points
โข Weak/Neutral Momentum: 0 points
Score Interpretation:
60-70 points - EXCELLENT:
โข All factors aligned
โข High conviction setup
โข Maximum position size (within risk limits)
โข Primary trading opportunities
45-59 points - STRONG:
โข Multiple confirmations present
โข Above-average setup quality
โข Standard position size
โข Good trading opportunities
30-44 points - GOOD:
โข Basic confirmations met
โข Acceptable setup quality
โข Reduced position size
โข Wait for additional confirmation or trade smaller
Below 30 points - WEAK:
โข Minimal confirmations
โข Low probability setup
โข Consider passing
โข Only for aggressive traders in strong trends
Only signals meeting your minimum quality threshold (configurable per preset) generate alerts and labels.
4. MULTI-TIMEFRAME CONFLUENCE ANALYSIS
The system can simultaneously analyze trend alignment across 6 timeframes (optional feature):
Timeframes analyzed:
โข 5-minute (scalping context)
โข 15-minute (intraday momentum)
โข 1-hour (day trading bias)
โข 4-hour (swing context)
โข Daily (primary trend)
โข Weekly (macro trend)
Confluence Interpretation:
โข 5-6/6 aligned - Very strong multi-timeframe agreement (highest confidence)
โข 3-4/6 aligned - Moderate agreement (standard setup)
โข 1-2/6 aligned - Weak agreement (caution advised)
Dashboard shows real-time alignment count with color-coding. Higher confluence typically correlates with longer, stronger trends.
5. VOLUME MOMENTUM FILTER - Institutional Money Flow
Unlike traditional volume indicators that just measure size, Volume Momentum tracks the RATE OF CHANGE in volume:
How it works:
โข Compares short-term volume average (fast period) to long-term average (slow period)
โข Ratio above 1.0 = Volume accelerating (money flowing IN)
โข Ratio above 1.2 = Strong acceleration (institutional participation likely)
โข Ratio below 0.8 = Volume decelerating (money flowing OUT)
Why it matters:
โข Confirms trend with actual money flow, not just price
โข Leading indicator (volume often leads price)
โข Catches accumulation/distribution before breakouts
โข More intuitive than complex mathematical filters
Integration with signals:
โข Optional filter - can be enabled/disabled per preset
โข When enabled: Only signals with rising volume momentum fire
โข AUTO-DISABLED in Scalping mode (too restrictive for fast trading)
โข Configurable fast/slow periods per trading style
6. ADAPTIVE SUPERTREND MULTIPLIER
Traditional SuperTrend uses fixed ATR multiplier. This system dynamically adjusts the multiplier (0.8x to 1.2x base) based on:
โข Trend Strength: Price correlation over lookback period
โข Volume Weight: Current volume relative to average
Benefits:
โข Tighter bands in calm markets (less premature exits)
โข Wider bands in volatile conditions (avoids whipsaws)
โข Better adaptation to biotech, small-cap, and crypto volatility
โข Optional - can be disabled for classic constant multiplier
7. VISUAL GRADIENT RIBBON
26-layer exponential gradient fill between price and SuperTrend line provides instant visual trend strength assessment:
Color System:
โข Green shades - Bullish trend + volume confirmation (strongest)
โข Blue shades - Bullish trend, normal volume
โข Orange shades - Bearish trend + volume confirmation
โข Red shades - Bearish trend (weakest)
Opacity varies based on:
โข Distance from SuperTrend (farther = more opaque)
โข Volume intensity (higher volume = stronger color)
The ribbon provides at-a-glance trend strength without cluttering your chart. Can be toggled on/off.
8. INTELLIGENT ALERT SYSTEM
Two-tier alert architecture for flexibility:
Automatic Alerts:
โข Fire automatically on BUY and SELL signals
โข Include full context: quality score, volume state, volume momentum
โข One alert per bar close (alert.freq_once_per_bar_close)
โข Message format: "BUY: Supertrend bullish + Quality: 65/70 | Volume: HIGH | Vol Momentum: STRONG (1.35x)"
Customizable Alert Conditions:
โข Appear in TradingView's "Create Alert" dialog
โข Three options: BUY Signal Only, SELL Signal Only, ANY Signal (BUY or SELL)
โข Use TradingView placeholders: {{ticker}}, {{interval}}, {{close}}, {{time}}
โข Fully customizable message templates
All alerts use barstate.isconfirmed - Zero repaint guarantee.
9. ANTI-REPAINT ARCHITECTURE
Every component guaranteed non-repainting:
โข Entry signals: Only appear after bar close
โข duration analysis boxes: Created only on confirmed SuperTrend flips
โข Informative labels: Wait for bar confirmation
โข Alerts: Fire once per closed bar
โข Multi-timeframe data: Uses lookahead=barmerge.lookahead_off
What you see in history is exactly what you would have seen in real-time. No disappearing signals, no changed duration estimates.
HOW TO USE THE INDICATOR
QUICK START - 3 Steps to Trading:
Step 1: Select Your Trading Style
Open indicator settings โ "Quick Setup" section โ Trading Style Preset dropdown
Options:
โข Auto (Detect from TF) - RECOMMENDED: Automatically configures based on your chart timeframe
โข Scalping (1-5m) - For 1-5 minute charts, ultra-fast signals
โข Day Trading (15m-1h) - For 15m-1h charts, balanced approach
โข Swing Trading (4h-D) - For 4h-Daily charts, trend stability
โข Position Trading (D-W) - For Daily-Weekly charts, long-term trends
โข Custom - Manual configuration (advanced users only)
Choose "Auto" and you're done - all parameters optimize automatically.
Step 2: Understand the Signals
BUY Signal (Green Triangle Below Price):
โข SuperTrend flipped bullish
โข Quality score meets minimum threshold (varies by preset)
โข Volume confirmation present (if filter enabled)
โข Volume momentum rising (if filter enabled)
โข duration analysis box shows expected trend duration
SELL Signal (Red Triangle Above Price):
โข SuperTrend flipped bearish
โข Quality score meets minimum threshold
โข Volume confirmation present (if filter enabled)
โข Volume momentum rising (if filter enabled)
โข duration analysis box shows expected trend duration
Duration Analysis Box:
โข Appears at SuperTrend flip (start of new trend)
โข Shows median, average, and range duration estimates
โข Extends to estimated endpoint based on historical data visually
โข Updates mode-specific intelligence (Simple/Standard/Advanced)
Step 3: Use the Dashboard for Context
Dashboard (top-right corner) shows real-time metrics:
โข Row 1 - Quality Score: Current setup rating (0-70)
โข Row 2 - SuperTrend: Direction and current level
โข Row 3 - Volume: Status (Spike/High/Normal/Low) with color
โข Row 4 - Volatility: State (Expanding/Rising/Stable/Contracting)
โข Row 5 - Volume Momentum: Ratio and trend
โข Row 6 - Duration Statistics: Accuracy metrics and track record
Every cell has detailed tooltip - hover for full explanations.
SIGNAL INTERPRETATION BY QUALITY SCORE:
Excellent Setup (60-70 points):
โข Quality Score: 60-70
โข Volume: Spike or High
โข Volatility: Expanding
โข Volume Momentum: Strong (1.2x+)
โข MTF Confluence (if enabled): 5-6/6
โข Action: Primary trade - maximum position size (within risk limits)
โข Statistical reliability: Highest - duration estimates most accurate
Strong Setup (45-59 points):
โข Quality Score: 45-59
โข Volume: High or Above Average
โข Volatility: Rising
โข Volume Momentum: Rising (1.0-1.2x)
โข MTF Confluence (if enabled): 3-4/6
โข Action: Standard trade - normal position size
โข Statistical reliability: Good - duration estimates reliable
Good Setup (30-44 points):
โข Quality Score: 30-44
โข Volume: Above Average
โข Volatility: Stable or Rising
โข Volume Momentum: Neutral to Rising
โข MTF Confluence (if enabled): 3-4/6
โข Action: Cautious trade - reduced position size, wait for additional confirmation
โข Statistical reliability: Moderate - duration estimates less certain
Weak Setup (Below 30 points):
โข Quality Score: Below 30
โข Volume: Low or Normal
โข Volatility: Contracting or Stable
โข Volume Momentum: Weak
โข MTF Confluence (if enabled): 1-2/6
โข Action: Pass or wait for improvement
โข Statistical reliability: Low - duration estimates unreliable
USING duration analysis boxES FOR TRADE MANAGEMENT:
Entry Timing:
โข Enter on SuperTrend flip (signal bar close)
โข duration analysis box appears simultaneously
โข Note the median duration - this is your expected hold time
Profit Targets:
โข Conservative: Use MEDIAN duration as profit target (50% probability)
โข Moderate: Use AVERAGE duration (mean of similar trends)
โข Aggressive: Aim for MAX duration from range (best historical outcome)
Position Management:
โข Scale out at median duration (take partial profits)
โข Trail stop as trend extends beyond median
โข Full exit at average duration or SuperTrend flip (whichever comes first)
โข Re-evaluate if trend exceeds estimated range
analysis mode Selection:
โข Simple: Clean trending markets, beginners, minimal complexity
โข Standard: Most markets, most traders (recommended default)
โข Advanced: Volatile markets, complex instruments, experienced traders seeking highest accuracy
Asset Type Configuration (Advanced Mode):
If using Advanced analysis mode, configure Asset Type for optimal accuracy:
โข Small Cap: Stocks under $2B market cap, low liquidity
โข Biotech / Speculative: Clinical-stage pharma, penny stocks, high-risk
โข Blue Chip / Large Cap: S&P 500, mega-cap tech, stable large companies
โข Tech Growth: High-growth tech (TSLA, NVDA, growth SaaS)
โข Dividend / Value: Dividend aristocrats, value stocks, utilities
โข Cyclical: Energy, materials, industrials (macro-driven)
โข Crypto / High Volatility: Bitcoin, altcoins, highly volatile assets
Correct asset type selection improves Statistical accuracy by 15-20%.
RISK MANAGEMENT GUIDELINES:
1. Stop Loss Placement:
Long positions:
โข Place stop below recent swing low OR
โข Place stop below SuperTrend level (whichever is tighter)
โข Use 1-2 ATR distance as guideline
โข Recommended: SuperTrend level (built-in volatility adjustment)
Short positions:
โข Place stop above recent swing high OR
โข Place stop above SuperTrend level (whichever is tighter)
โข Use 1-2 ATR distance as guideline
โข Recommended: SuperTrend level
2. Position Sizing by Quality Score:
โข Excellent (60-70): Maximum position size (2% risk per trade)
โข Strong (45-59): Standard position size (1.5% risk per trade)
โข Good (30-44): Reduced position size (1% risk per trade)
โข Weak (Below 30): Pass or micro position (0.5% risk - learning trades only)
3. Exit Strategy Options:
Option A - Statistical Duration-Based Exit:
โข Exit at median estimated duration (conservative)
โข Exit at average estimated duration (moderate)
โข Trail stop beyond average duration (aggressive)
Option B - Signal-Based Exit:
โข Exit on opposite signal (SELL after BUY, or vice versa)
โข Exit on SuperTrend flip (trend reversal)
โข Exit if quality score drops below 30 mid-trend
Option C - Hybrid (Recommended):
โข Take 50% profit at median estimated duration
โข Trail stop on remaining 50% using SuperTrend as trailing level
โข Full exit on SuperTrend flip or quality collapse
4. Trade Filtering:
For higher win-rate (fewer trades, better quality):
โข Increase minimum quality score (try 60 for swing, 50 for day trading)
โข Enable volume momentum filter (ensure institutional participation)
โข Require higher MTF confluence (5-6/6 alignment)
โข Use Advanced analysis mode with appropriate asset type
For more opportunities (more trades, lower quality threshold):
โข Decrease minimum quality score (40 for day trading, 35 for scalping)
โข Disable volume momentum filter
โข Lower MTF confluence requirement
โข Use Simple or Standard analysis mode
SETTINGS OVERVIEW
Quick Setup Section:
โข Trading Style Preset: Auto / Scalping / Day Trading / Swing / Position / Custom
Dashboard & Display:
โข Show Dashboard (ON/OFF)
โข Dashboard Position (9 options: Top/Middle/Bottom + Left/Center/Right)
โข Text Size (Auto/Tiny/Small/Normal/Large/Huge)
โข Show Ribbon Fill (ON/OFF)
โข Show SuperTrend Line (ON/OFF)
โข Bullish Color (default: Green)
โข Bearish Color (default: Red)
โข Show Entry Labels - BUY/SELL signals (ON/OFF)
โข Show Info Labels - Volume events (ON/OFF)
โข Label Size (Auto/Tiny/Small/Normal/Large/Huge)
Supertrend Configuration:
โข ATR Length (default varies by preset: 7-21)
โข ATR Multiplier Base (default varies by preset: 2.0-4.0)
โข Use Adaptive Multiplier (ON/OFF) - Dynamic 0.8x-1.2x adjustment
โข Smoothing Factor (0.0-0.5) - EMA smoothing applied to bands
โข Neutral Bars After Flip (0-10) - Hide ST immediately after flip
Volume Momentum:
โข Enable Volume Momentum Filter (ON/OFF)
โข Fast Period (default varies by preset: 3-20)
โข Slow Period (default varies by preset: 10-50)
Volume Analysis:
โข Volume MA Length (default varies by preset: 10-50)
โข High Volume Threshold (default: 1.5x)
โข Spike Threshold (default: 2.5x)
โข Low Volume Threshold (default: 0.7x)
Quality Filters:
โข Minimum Quality Score (0-70, varies by preset)
โข Require Volume Confirmation (ON/OFF)
Trend Duration Analysis:
โข Show Duration Analysis (ON/OFF) - Display duration analysis boxes
โข analysis mode - Simple / Standard / Advanced
โข Asset Type - 7 options (Small Cap, Biotech, Blue Chip, Tech Growth, Dividend, Cyclical, Crypto)
โข Use Exponential Weighting (ON/OFF) - Recent trends weighted more
โข Decay Factor (0.5-0.99) - How much more recent trends matter
โข Structure Lookback (3-30) - Pivot detection period for support/resistance
โข Proximity Threshold (xATR) - How close to level qualifies as "near"
โข Enable Error Learning (ON/OFF) - System learns from estimation errors
โข Memory Depth (3-20) - How many past errors to remember
Box Visual Settings:
โข duration analysis box Border Color
โข duration analysis box Background Color
โข duration analysis box Text Color
โข duration analysis box Border Width
โข duration analysis box Transparency
Multi-Timeframe (Optional Feature):
โข Enable MTF Confluence (ON/OFF)
โข Minimum Alignment Required (0-6)
โข Individual timeframe enable/disable toggles
โข Custom timeframe selection options
All preset configurations override manual inputs except when "Custom" is selected.
ADVANCED FEATURES
1. Scalpel Mode (Optional)
Advanced pullback entry system that waits for healthy retracements within established trends before signaling entry:
โข Monitors price distance from SuperTrend levels
โข Requires pullback to configurable range (default: 30-50%)
โข Ensures trend remains intact before entry signal
โข Reduces whipsaw and false breakouts
โข Inspired by Mark Minervini's VCP pullback entries
Best for: Swing traders and day traders seeking precision entries
Scalpers: Consider disabling for faster entries
2. Error Learning System (Advanced analysis mode Only)
The system learns from its own estimation errors:
โข Tracks last 10-20 completed duration estimates (configurable memory depth)
โข Calculates error ratio for each: estimated duration / Actual Duration
โข If system consistently over-estimates: Applies negative correction (-15%)
โข If system consistently under-estimates: Applies positive correction (+15%)
โข Adapts to current market regime automatically
This self-correction mechanism improves accuracy over time as the system gathers more data on your specific symbol and timeframe.
3. Regime Detection (Advanced analysis mode Only)
Automatically detects whether market is in trending or choppy regime:
โข Compares last 3 trends to historical average
โข Recent trends 20%+ longer โ Trending regime (+20% to estimates)
โข Recent trends 20%+ shorter โ Choppy regime (-20% to estimates)
โข Applied separately to bullish and bearish trends
Helps duration estimates adapt to changing market conditions without manual intervention.
4. Exponential Weighting
Option to weight recent trends more heavily than distant history:
โข Default decay factor: 0.9
โข Recent trends get higher weight in statistical calculations
โข Older trends gradually decay in importance
โข Rationale: Recent market behavior more relevant than old data
โข Can be disabled for equal weighting
5. Backtest Statistics
System backtests its own duration estimates using historical data:
โข Walks through past trends chronologically
โข Calculates what duration estimate WOULD have been at each flip
โข Compares to actual duration that occurred
โข Displays accuracy metrics in duration analysis boxes and dashboard
โข Helps assess statistical reliability on your specific chart
Note: Backtest uses only data available AT THE TIME of each historical flip (no lookahead bias).
TECHNICAL SPECIFICATIONS
โข Pine Script Version: v6
โข Indicator Type: Overlay (draws on price chart)
โข Max Boxes: 500 (for duration analysis box storage)
โข Max Bars Back: 5000 (for comprehensive historical analysis)
โข Security Calls: 1 (for MTF if enabled - optimized)
โข Repainting: NO - All signals and duration estimates confirmed on bar close
โข Lookahead Bias: NO - All HTF data properly offset, all duration estimates use only historical data
โข Real-time Updates: YES - Dashboard and quality scores update live
โข Alert Capable: YES - Both automatic alerts and customizable alert conditions
โข Multi-Symbol: Works on stocks, crypto, forex, futures, indices
Performance Optimization:
โข Conditional calculations (duration analysis can be disabled to reduce load)
โข Efficient array management (circular buffers for trend storage)
โข Streamlined gradient rendering (26 layers, can be toggled off)
โข Smart label cooldown system (prevents label spam)
โข Optimized similarity matching (analyzes only relevant trends)
Data Requirements:
โข Minimum 50-100 bars for initial duration analysis (builds historical database)
โข Optimal: 500+ bars for robust statistical analysis
โข Longer history = more accurate duration estimates
โข Works on any timeframe from 1 minute to monthly
KNOWN LIMITATIONS
โข Trending Markets Only: Performs best in clear trends. May generate false signals in choppy/sideways markets (use quality score filtering and regime detection to mitigate)
โข Lagging Nature: Like all trend-following systems, signals occur AFTER trend establishment, not at exact tops/bottoms. Use duration analysis boxes to set realistic profit targets.
โข Initial Learning Period: Duration analysis system requires 10-15 completed trends to build reliable historical database. Early duration estimates less accurate (first few weeks on new symbol/timeframe).
โข Visual Load: 26-layer gradient ribbon may slow performance on older devices. Disable ribbon if experiencing lag.
โข Statistical accuracy Variables: Duration estimates are statistical estimates, not guarantees. Accuracy varies by:
- Market regime (trending vs choppy)
- Asset volatility characteristics
- Quality of historical pattern matches
- Timeframe traded (higher TF = more reliable)
โข Not Best Suitable For:
- Ultra-short-term scalping (sub-1-minute charts)
- Mean-reversion strategies (designed for trend-following)
- Range-bound trading (requires trending conditions)
- News-driven spikes (estimates based on technical patterns, not fundamentals)
FREQUENTLY ASKED QUESTIONS
Q: Does this indicator repaint?
A: Absolutely not. All signals, duration analysis boxes, labels, and alerts use barstate.isconfirmed checks. They only appear after the bar closes. What you see in history is exactly what you would have seen in real-time. Zero repaint guarantee.
Q: How accurate are the trend duration estimates?
A: Accuracy varies by mode, market conditions, and historical data quality:
โข Simple mode: 60-70% accuracy (within ยฑ20% of actual duration)
โข Standard mode: 70-80% accuracy (within ยฑ20% of actual duration)
โข Advanced mode: 75-85% accuracy (within ยฑ20% of actual duration)
Best accuracy achieved on:
โข Higher timeframes (4H, Daily, Weekly)
โข Trending markets (not choppy/sideways)
โข Assets with consistent behavior (Blue Chip, Large Cap)
โข After 20+ historical trends analyzed (builds robust database)
Remember: All duration estimates are statistical calculations based on historical patterns, not guarantees.
Q: Which analysis mode should I use?
A:
โข Simple: Beginners, clean trending markets, want minimal complexity
โข Standard: Most traders, general market conditions (RECOMMENDED DEFAULT)
โข Advanced: Experienced traders, volatile/complex markets (biotech, small-cap, crypto), seeking maximum accuracy
Advanced mode requires correct Asset Type configuration for optimal results.
Q: What's the difference between the trading style presets?
A: Each preset optimizes ALL parameters for a specific trading approach:
โข Scalping: Ultra-sensitive (ATR 7, Mult 2.0), more signals, shorter holds
โข Day Trading: Balanced (ATR 10, Mult 2.5), moderate signals, intraday holds
โข Swing Trading: Stable (ATR 14, Mult 3.0), fewer signals, multi-day holds
โข Position Trading: Very stable (ATR 21, Mult 4.0), rare signals, week/month holds
Auto mode automatically selects based on your chart timeframe.
Q: Should I use Auto mode or manually select a preset?
A: Auto mode is recommended for most traders. It automatically matches settings to your timeframe and re-optimizes if you switch charts. Only use manual preset selection if:
โข You want scalping settings on a 15m chart (overriding auto-detection)
โข You want swing settings on a 1h chart (more conservative than auto would give)
โข You're testing different approaches on same timeframe
Q: Can I use this for scalping and day trading?
A: Absolutely! The preset system is specifically designed for all trading styles:
โข Select "Scalping (1-5m)" for 1-5 minute charts
โข Select "Day Trading (15m-1h)" for 15m-1h charts
โข Or use "Auto" mode and it configures automatically
Volume momentum filter is auto-disabled in Scalping mode for faster signals.
Q: What is Volume Momentum and why does it matter?
A: Volume Momentum compares short-term volume (fast MA) to long-term volume (slow MA). It answers: "Is money flowing into this asset faster now than historically?"
Why it matters:
โข Volume often leads price (early warning system)
โข Confirms institutional participation (smart money)
โข No lag like price-based indicators
โข More intuitive than complex mathematical filters
When the ratio is above 1.2, you have strong evidence that institutions are accumulating (bullish) or distributing (bearish).
Q: How do I set up alerts?
A: Two options:
Option 1 - Automatic Alerts:
1. Right-click on chart โ Add Alert
2. Condition: Select this indicator
3. Choose "Any alert() function call"
4. Configure notification method (app, email, webhook)
5. You'll receive detailed alerts on every BUY and SELL signal
Option 2 - Customizable Alert Conditions:
1. Right-click on chart โ Add Alert
2. Condition: Select this indicator
3. You'll see three options in dropdown:
- "BUY Signal" (long signals only)
- "SELL Signal" (short signals only)
- "ANY Signal" (both BUY and SELL)
4. Choose desired option and customize message template
5. Uses TradingView placeholders: {{ticker}}, {{close}}, {{time}}, etc.
All alerts fire only on confirmed bar close (no repaint).
Q: What is Scalpel Mode and should I use it?
A: Scalpel Mode waits for healthy pullbacks within established trends before signaling entry. It reduces whipsaws and improves entry timing.
Recommended ON for:
โข Swing traders (want precision entries on pullbacks)
โข Day traders (willing to wait for better prices)
โข Risk-averse traders (prefer fewer but higher-quality entries)
Recommended OFF for:
โข Scalpers (need immediate entries, can't wait for pullbacks)
โข Momentum traders (want to enter on breakout, not pullback)
โข Aggressive traders (prefer more opportunities over precision)
Q: Why do some duration estimates show wider ranges than others?
A: Range width reflects historical trend variability:
โข Narrow range: Similar historical trends had consistent durations (high confidence)
โข Wide range: Similar historical trends had varying durations (lower confidence)
Wide ranges often occur:
โข Early in analysis (fewer historical trends to learn from)
โข In volatile/choppy markets (inconsistent trend behavior)
โข On lower timeframes (more noise, less consistency)
The median and average still provide useful targets even when range is wide.
Q: Can I customize the dashboard position and appearance?
A: Yes! Dashboard settings include:
โข Position: 9 options (Top/Middle/Bottom + Left/Center/Right)
โข Text Size: Auto, Tiny, Small, Normal, Large, Huge
โข Show/Hide: Toggle entire dashboard on/off
Choose position that doesn't overlap important price action on your specific chart.
Q: Which timeframe should I trade on?
A: Depends on your trading style and time availability:
โข 1-5 minute: Active scalping, requires constant monitoring
โข 15m-1h: Day trading, check few times per session
โข 4h-Daily: Swing trading, check once or twice daily
โข Daily-Weekly: Position trading, check weekly
General principle: Higher timeframes produce:
โข Fewer signals (less frequent)
โข Higher quality setups (stronger confirmations)
โข More reliable duration estimates (better statistical data)
โข Less noise (clearer trends)
Start with Daily chart if new to trading. Move to lower timeframes as you gain experience.
Q: Does this work on all markets (stocks, crypto, forex)?
A: Yes, it works on all markets with trending characteristics:
Excellent for:
โข Stocks (especially growth and momentum names)
โข Crypto (BTC, ETH, major altcoins)
โข Futures (indices, commodities)
โข Forex majors (EUR/USD, GBP/USD, etc.)
Best results on:
โข Trending markets (not range-bound)
โข Liquid instruments (tight spreads, good fills)
โข Volatile assets (clear trend development)
Less effective on:
โข Range-bound/sideways markets
โข Ultra-low volatility instruments
โข Illiquid small-caps (use caution)
Configure Asset Type (in Advanced analysis mode) to match your instrument for best accuracy.
Q: How many signals should I expect per day/week?
A: Highly variable based on:
By Timeframe:
โข 1-5 minute: 5-15 signals per session
โข 15m-1h: 2-5 signals per day
โข 4h-Daily: 2-5 signals per week
โข Daily-Weekly: 1-2 signals per month
By Market Volatility:
โข High volatility = more SuperTrend flips = more signals
โข Low volatility = fewer flips = fewer signals
By Quality Filter:
โข Higher threshold (60-70) = fewer but better signals
โข Lower threshold (30-40) = more signals, lower quality
By Volume Momentum Filter:
โข Enabled = Fewer signals (only volume-confirmed)
โข Disabled = More signals (all SuperTrend flips)
Adjust quality threshold and filters to match your desired signal frequency.
Q: What's the difference between entry labels and info labels?
A:
Entry Labels (BUY/SELL):
โข Your primary trading signals
โข Based on SuperTrend flip + all confirmations (quality, volume, momentum)
โข Include quality score and confirmation icons
โข These are actionable entry points
Info Labels (Volume Spike):
โข Additional market context
โข Show volume events that may support or contradict trend
โข 8-bar cooldown to prevent spam
โข NOT necessarily entry points - contextual information only
Control separately: Can show entry labels without info labels (recommended for clean charts).
Q: Can I combine this with other indicators?
A: Absolutely! This works well with:
โข RSI: For divergences and overbought/oversold conditions
โข Support/Resistance: Confluence with key levels
โข Fibonacci Retracements: Pullback targets in Scalpel Mode
โข Price Action Patterns: Flags, pennants, cup-and-handle
โข MACD: Additional momentum confirmation
โข Bollinger Bands: Volatility context
This indicator provides trend direction and duration estimates - complement with other tools for entry refinement and additional confluence.
Q: Why did I get a low-quality signal? Can I filter them out?
A: Yes! Increase the Minimum Quality Score in settings.
If you're seeing signals with quality below your preference:
โข Day Trading: Set minimum to 50
โข Swing Trading: Set minimum to 60
โข Position Trading: Set minimum to 70
Only signals meeting the threshold will appear. This reduces frequency but improves win-rate.
Q: How do I interpret the MTF Confluence count?
A: Shows how many of 6 timeframes agree with current trend:
โข 6/6 aligned: Perfect agreement (extremely rare, highest confidence)
โข 5/6 aligned: Very strong alignment (high confidence)
โข 4/6 aligned: Good alignment (standard quality setup)
โข 3/6 aligned: Moderate alignment (acceptable)
โข 2/6 aligned: Weak alignment (caution)
โข 1/6 aligned: Very weak (likely counter-trend)
Higher confluence typically correlates with longer, stronger trends. However, MTF analysis is optional - you can disable it and rely solely on quality scoring.
Q: Is this suitable for beginners?
A: Yes, but requires foundational knowledge:
You should understand:
โข Basic trend-following concepts (higher highs, higher lows)
โข Risk management principles (position sizing, stop losses)
โข How to read candlestick charts
โข What volume and volatility mean
Beginner-friendly features:
โข Auto preset mode (zero configuration)
โข Quality scoring (tells you signal strength)
โข Dashboard tooltips (hover for explanations)
โข duration analysis boxes (visual profit targets)
Recommended for beginners:
1. Start with "Auto" or "Swing Trading" preset on Daily chart
2. Use Standard Analysis Mode (not Advanced)
3. Set minimum quality to 60 (fewer but better signals)
4. Paper trade first for 2-4 weeks
5. Study methodology references (Minervini, O'Neil, Zanger)
Q: What is the Asset Type setting and why does it matter?
A: Asset Type (in Advanced analysis mode) adjusts duration estimates based on volatility characteristics:
โข Small Cap: Explosive moves, extended trends (+30-40%)
โข Biotech / Speculative: Parabolic potential, news-driven (+40%)
โข Blue Chip / Large Cap: Baseline, steady trends (0% adjustment)
โข Tech Growth: Momentum-driven, longer trends (+20%)
โข Dividend / Value: Slower, grinding trends (-20%)
โข Cyclical: Macro-driven, variable (ยฑ10%)
โข Crypto / High Volatility: Parabolic potential (+30%)
Correct configuration improves Statistical accuracy by 15-20%. Using Blue Chip settings on a biotech stock may underestimate trend length (you'll exit too early).
Q: Can I backtest this indicator?
A: Yes! TradingView's Strategy Tester works with this indicator's signals.
To backtest:
1. Note the entry conditions (SuperTrend flip + quality threshold + filters)
2. Create a strategy script using same logic
3. Run Strategy Tester on historical data
Additionally, the indicator includes BUILT-IN duration estimate validation:
โข System backtests its own duration estimates
โข Shows accuracy metrics in dashboard and duration analysis boxes
โข Helps assess reliability on your specific symbol/timeframe
Q: Why does Volume Momentum auto-disable in Scalping mode?
A: Scalping requires ultra-fast entries to catch quick moves. Volume Momentum filter adds friction by requiring volume confirmation before signaling, which can cause missed opportunities in rapid scalping.
Scalping preset is optimized for speed and frequency - the filter is counterproductive for that style. It remains enabled for Day Trading, Swing Trading, and Position Trading presets where patience improves results.
You can manually enable it in Custom mode if desired.
Q: How much historical data do I need for accurate duration estimates?
A:
Minimum: 50-100 bars (indicator will function but duration estimates less reliable)
Recommended: 500+ bars (robust statistical database)
Optimal: 1000+ bars (maximum Statistical accuracy)
More history = more completed trends = better pattern matching = more accurate duration estimates.
New symbols or newly-switched timeframes will have lower Statistical accuracy initially. Allow 2-4 weeks for the system to build historical database.
IMPORTANT DISCLAIMERS
No Guarantee of Profit:
This indicator is an educational tool and does not guarantee any specific trading results. All trading involves substantial risk of loss. Duration estimates are statistical calculations based on historical patterns and are not guarantees of future performance.
Past Performance:
Historical backtest results and Statistical accuracy statistics do not guarantee future performance. Market conditions change constantly. What worked historically may not work in current or future markets.
Not Financial Advice:
This indicator provides technical analysis signals and statistical duration estimates only. It is not financial, investment, or trading advice. Always consult with a qualified financial advisor before making investment decisions.
Risk Warning:
Trading stocks, options, futures, forex, and cryptocurrencies involves significant risk. You can lose all of your invested capital. Never trade with money you cannot afford to lose. Only risk capital you can lose without affecting your lifestyle.
Testing Required:
Always test this indicator on a demo account or with paper trading before risking real capital. Understand how it works in different market conditions. Verify Statistical accuracy on your specific instruments and timeframes before trusting it with real money.
User Responsibility:
You are solely responsible for your trading decisions. The developer assumes no liability for trading losses, incorrect duration estimates, software errors, or any other damages incurred while using this indicator.
Statistical Estimation Limitations:
Trend Duration estimates are statistical estimates based on historical pattern matching. They are NOT guarantees. Actual trend durations may differ significantly from duration estimates due to unforeseen news events, market regime changes, or lack of historical precedent for current conditions.
CREDITS & ACKNOWLEDGMENTS
Methodology Inspiration:
โข Mark Minervini - Volatility Contraction Pattern (VCP) concepts and pullback entry techniques
โข William O'Neil - Volume analysis principles and CANSLIM institutional buying patterns
โข Dan Zanger - Momentum breakout strategies and volatility expansion entries
Technical Components:
โข SuperTrend calculation - Classic ATR-based trend indicator (public domain)
โข Statistical analysis - Standard median, average, range calculations
โข k-Nearest Neighbors - Classic machine learning similarity matching concept
โข Multi-timeframe analysis - Standard request.security implementation in Pine Script
For questions, feedback, or support, please comment below or send a private message.
Happy Trading!
Malama's Range BreakoutMalama's Range Breakout is a dynamic indicator designed to automatically detect periods of price consolidation (tight ranges) and generate actionable signals for breakouts or wick-based reversals.
Why It's Useful: Unlike fixed-time tools like Opening Range Breakouts (ORB), this indicator is Adaptive. It uses a volatility-adjusted threshold (ATR multiplier) to determine when a market is truly consolidating. This helps traders avoid false signals in choppy markets and focus on periods where volatility is compressing.
Key Features:
Adaptive Detection: Uses ATR over a user-defined lookback to find tight ranges automatically.
Preset Profiles: Quickly switch between optimized settings for:
Scalping: (Tight Ranges)
Intraday: (Normal Ranges)
Swing Trading: (Loose Ranges)
Options/Chop: (Extreme sideways movement)
Breakout Signals: Triggers "BUY/SELL" labels when price closes outside the box. Includes an optional Volume Filter to ignore low-momentum breakouts.
Wick Reversals: Detects "Fake-outs" where wicks probe the range boundary but fail to close outside, signaling a potential reversal back into the range.
How to Use:
Select a Profile: Choose "Normal" for standard day trading or "Tight" for scalping.
Wait for the Box: The indicator will draw an orange box when price consolidates.
Trade the Break: Wait for a confirmed close outside the box (Look for the "Malama BUY/SELL" label).
Watch for Rejection: If you see a "Wick" label, it means the breakout failedโbe cautious or trade the reversal.
Settings:
Profile: Select your trading style (Scalping, Intraday, Swing).
Volume Filter: Require a volume spike to confirm breakouts (Recommended).
Wick Confirmation: Require a confirmation candle before signaling a wick reversal.
Grothendieck-Teichmรผller Geometric SynthesisDskyz's Grothendieck-Teichmรผller Geometric Synthesis (GTGS)
THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES
The ๐ GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementationโsuch a task would demand computational power far beyond current trading platformsโit leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures.
1. Grothendieck-Teichmรผller Theory: Deforming Market Structure
The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces.
Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts.
2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns
The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency.
Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty.
3. Tropical Geometry: Simplifying Complexity
The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication.
Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly.
4. Motivic Cohomology & Non-Commutative Geometry
The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces.
Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements.
5. Perfectoid Spaces & Homotopy Type Theory
The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics.
Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis.
The Combination is Key : No single theory dominates. GTGS โs Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains.
๐๏ธ INPUTS: CONFIGURING THE GEOMETRIC ENGINE
The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision.
Grothendieck-Teichmรผller Theory Inputs
๐งฌ Deformation Depth (Absolute Galois) :
What It Is : Controls the depth of Galois group deformations analyzed in market structure.
How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries.
Optimization :
Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D).
Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min).
Timeframes :
Scalping (1-5min) : 3-6 for quick local shifts.
Day Trading (15min-1H) : 8-12 for balanced analysis.
Swing Trading (4H-1D) : 12-20 for deep structural trends.
Sectors :
Stocks : Use 8-12 for stable trends.
Crypto : 3-8 for volatile, short-term moves.
Forex : 12-15 for smooth, cyclical patterns.
Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity.
๐ผ Teichmรผller Tower Height :
What It Is : Determines the height of the Teichmรผller modular tower for hierarchical pattern detection.
How It Works : Builds modular levels to identify nested market patterns.
Optimization :
Higher Values (6-8) : Detects complex fractals, ideal for swing trading.
Lower Values (2-4) : Focuses on primary patterns, faster for scalping.
Timeframes :
Scalping : 2-3 for speed.
Day Trading : 4-5 for balanced patterns.
Swing Trading : 5-8 for deep fractals.
Sectors :
Indices : 5-8 for robust, long-term patterns.
Crypto : 2-4 for rapid shifts.
Commodities : 4-6 for cyclical trends.
Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware.
๐ข Galois Prime Base :
What It Is : Sets the prime base for Galois field computations.
How It Works : Defines the field extension characteristic for market analysis.
Optimization :
Prime Characteristics :
2 : Binary markets (up/down).
3 : Ternary states (bull/bear/neutral).
5 : Pentagonal symmetry (Elliott waves).
7 : Heptagonal cycles (weekly patterns).
11,13,17,19 : Higher-order patterns.
Timeframes :
Scalping/Day Trading : 2 or 3 for simplicity.
Swing Trading : 5 or 7 for wave or cycle detection.
Sectors :
Forex : 5 for Elliott wave alignment.
Stocks : 7 for weekly cycle consistency.
Crypto : 3 for volatile state shifts.
Pro Tip : Use 7 for most markets; 5 for Elliott wave traders.
Topos Theory & Sheaf Cohomology Inputs
๐๏ธ Temporal Site Size :
What It Is : Defines the number of time points in the topological site.
How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness.
Optimization :
Higher Values (30-50) : Smoother cohomology, better for trends in swing trading.
Lower Values (5-15) : Responsive, ideal for reversals in scalping.
Timeframes :
Scalping : 5-10 for quick responses.
Day Trading : 15-25 for balanced analysis.
Swing Trading : 25-50 for smooth trends.
Sectors :
Stocks : 25-35 for stable trends.
Crypto : 5-15 for volatility.
Forex : 20-30 for smooth cycles.
Pro Tip : Match site size to your average holding period in bars for optimal coherence.
๐ Sheaf Cohomology Degree :
What It Is : Sets the maximum degree of cohomology groups computed.
How It Works : Higher degrees capture complex topological obstructions.
Optimization :
Degree Meanings :
1 : Simple obstructions (basic support/resistance).
2 : Cohomological pairs (double tops/bottoms).
3 : Triple intersections (complex patterns).
4-5 : Higher-order structures (rare events).
Timeframes :
Scalping/Day Trading : 1-2 for simplicity.
Swing Trading : 3 for complex patterns.
Sectors :
Indices : 2-3 for robust patterns.
Crypto : 1-2 for rapid shifts.
Commodities : 3-4 for cyclical events.
Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection.
๐ Grothendieck Topology :
What It Is : Chooses the Grothendieck topology for the site.
How It Works : Affects how local data integrates into global patterns.
Optimization :
Topology Characteristics :
รtale : Finest topology, captures local-global principles.
Nisnevich : A1-invariant, good for trends.
Zariski : Coarse but robust, filters noise.
Fpqc : Faithfully flat, highly sensitive.
Sectors :
Stocks : Zariski for stability.
Crypto : รtale for sensitivity.
Forex : Nisnevich for smooth trends.
Indices : Zariski for robustness.
Timeframes :
Scalping : รtale for precision.
Swing Trading : Nisnevich or Zariski for reliability.
Pro Tip : Start with รtale for precision; switch to Zariski in noisy markets.
Unified Field Configuration Inputs
โ๏ธ Field Coupling Constant :
What It Is : Sets the interaction strength between geometric components.
How It Works : Controls signal amplification in the unified field equation.
Optimization :
Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets.
Lower Values (0.001-0.1) : Subtle signals for trending markets.
Timeframes :
Scalping : 0.5-0.8 for quick, strong signals.
Swing Trading : 0.1-0.3 for trend confirmation.
Sectors :
Crypto : 0.5-1.0 for volatility.
Stocks : 0.1-0.3 for stability.
Forex : 0.3-0.5 for balance.
Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets.
๐ Geometric Weighting Scheme :
What It Is : Determines the framework for combining geometric components.
How It Works : Adjusts emphasis on different mathematical structures.
Optimization :
Scheme Characteristics :
Canonical : Equal weighting, balanced.
Derived : Emphasizes higher-order structures.
Motivic : Prioritizes arithmetic properties.
Spectral : Focuses on frequency domain.
Sectors :
Stocks : Canonical for balance.
Crypto : Spectral for volatility.
Forex : Derived for structured moves.
Indices : Motivic for arithmetic cycles.
Timeframes :
Day Trading : Canonical or Derived for flexibility.
Swing Trading : Motivic for long-term cycles.
Pro Tip : Start with Canonical; experiment with Spectral in volatile markets.
Dashboard and Visual Configuration Inputs
๐ Show Enhanced Dashboard, ๐ Size, ๐ Position :
What They Are : Control dashboard visibility, size, and placement.
How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality .
Optimization :
Scalping : Small size, Bottom Right for minimal chart obstruction.
Swing Trading : Large size, Top Right for detailed analysis.
Sectors : Universal across markets; adjust size based on screen setup.
Pro Tip : Use Large for analysis, Small for live trading.
๐ Show Motivic Cohomology Bands, ๐ Morphism Flow, ๐ฎ Future Projection, ๐ท Holographic Mesh, โ๏ธ Spectral Flow :
What They Are : Toggle visual elements representing mathematical calculations.
How They Work : Provide intuitive representations of market dynamics.
Optimization :
Timeframes :
Scalping : Enable Morphism Flow and Spectral Flow for momentum.
Swing Trading : Enable all for comprehensive analysis.
Sectors :
Crypto : Emphasize Morphism Flow and Future Projection for volatility.
Stocks : Focus on Cohomology Bands for stable trends.
Pro Tip : Disable non-essential visuals in fast markets to reduce clutter.
๐ซ๏ธ Field Transparency, ๐ Web Recursion Depth, ๐จ Mesh Color Scheme :
What They Are : Adjust visual clarity, complexity, and color.
How They Work : Enhance interpretability of visual elements.
Optimization :
Transparency : 30-50 for balanced visibility; lower for analysis.
Recursion Depth : 6-8 for balanced detail; lower for older hardware.
Color Scheme :
Purple/Blue : Analytical focus.
Green/Orange : Trading momentum.
Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading.
โฑ๏ธ Minimum Bars Between Signals :
What It Is : Minimum number of bars required between consecutive signals.
How It Works : Prevents signal clustering by enforcing a cooldown period.
Optimization :
Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading.
Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping.
Timeframes :
Scalping : 0-2 bars for rapid signals.
Day Trading : 3-5 bars for balance.
Swing Trading : 5-10 bars for stability.
Sectors :
Crypto : 0-3 for volatility.
Stocks : 5-10 for trend clarity.
Forex : 3-7 for cyclical moves.
Pro Tip : Increase in choppy markets to filter noise.
Hardcoded Parameters
Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence).
Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets.
๐จ ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE
The GTTMTSF โs visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions.
Motivic Cohomology Bands :
What They Are : Dynamic bands ( Hโฐ , Hยน , Hยฒ ) representing cohomological support/resistance.
Color & Meaning : Colors reflect energy levels ( Hโฐ tightest, Hยฒ widest). Breaks into Hยน signal momentum; Hยฒ touches suggest reversals.
How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups.
Morphism Flow (Webbing) :
What It Is : White particle streams visualizing market momentum.
Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation.
How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts.
Future Projection Web (Fractal Grid) :
What It Is : Fibonacci-period fractal projections of support/resistance.
Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (ฯ), resonance (ฯ), and obstruction ( Hยน ). โก marks extreme anomalies.
How to Trade : Target โก/โ levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups.
Holographic Mesh & Spectral Flow :
What They Are : Visuals of harmonic interference and spectral energy.
How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement.
๐ THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL
The Dashboard translates complex mathematics into actionable intelligence.
Unified Field & Signals :
FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations.
RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves.
SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups.
Geometric Components :
What They Are : Breakdown of seven mathematical engines.
How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening.
Signal Performance :
What It Is : Tracks indicator signal performance.
How to Use : Assesses real-time performance to build confidence and understand system behavior.
๐ DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS
The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series.
Why This Is Unlike Anything Else :
Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools.
Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field .
Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice.
Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding.
The GTTMTSF is more than an indicator; itโs a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos.
" Where there is matter, there is geometry. " - Johannes Kepler
โ Dskyz , Trade with insight. Trade with anticipation.
Ultimate RSI [captainua]Ultimate RSI
Overview
This indicator combines multiple RSI calculations with volume analysis, divergence detection, and trend filtering to provide a comprehensive RSI-based trading system. The script calculates RSI using three different periods (6, 14, 24) and applies various smoothing methods to reduce noise while maintaining responsiveness. The combination of these features creates a multi-layered confirmation system that reduces false signals by requiring alignment across multiple indicators and timeframes.
The script includes optimized configuration presets for instant setup: Scalping, Day Trading, Swing Trading, and Position Trading. Simply select a preset to instantly configure all settings for your trading style, or use Custom mode for full manual control. All settings include automatic input validation to prevent configuration errors and ensure optimal performance.
Configuration Presets
The script includes preset configurations optimized for different trading styles, allowing you to instantly configure the indicator for your preferred trading approach. Simply select a preset from the "Configuration Preset" dropdown menu:
- Scalping: Optimized for fast-paced trading with shorter RSI periods (4, 7, 9) and minimal smoothing. Noise reduction is automatically disabled, and momentum confirmation is disabled to allow faster signal generation. Designed for quick entries and exits in volatile markets.
- Day Trading: Balanced configuration for intraday trading with moderate RSI periods (6, 9, 14) and light smoothing. Momentum confirmation is enabled for better signal quality. Ideal for day trading strategies requiring timely but accurate signals.
- Swing Trading: Configured for medium-term positions with standard RSI periods (14, 14, 21) and moderate smoothing. Provides smoother signals suitable for swing trading timeframes. All noise reduction features remain active.
- Position Trading: Optimized for longer-term trades with extended RSI periods (24, 21, 28) and heavier smoothing. Filters are configured for highest-quality signals. Best for position traders holding trades over multiple days or weeks.
- Custom: Full manual control over all settings. All input parameters are available for complete customization. This is the default mode and maintains full backward compatibility with previous versions.
When a preset is selected, it automatically adjusts RSI periods, smoothing lengths, and filter settings to match the trading style. The preset configurations ensure optimal settings are applied instantly, eliminating the need for manual configuration. All settings can still be manually overridden if needed, providing flexibility while maintaining ease of use.
Input Validation and Error Prevention
The script includes comprehensive input validation to prevent configuration errors:
- Cross-Input Validation: Smoothing lengths are automatically validated to ensure they are always less than their corresponding RSI period length. If you set a smoothing length greater than or equal to the RSI length, the script automatically adjusts it to (RSI Length - 1). This prevents logical errors and ensures valid configurations.
- Input Range Validation: All numeric inputs have minimum and maximum value constraints enforced by TradingView's input system, preventing invalid parameter values.
- Smart Defaults: Preset configurations use validated default values that are tested and optimized for each trading style. When switching between presets, all related settings are automatically updated to maintain consistency.
Core Calculations
Multi-Period RSI:
The script calculates RSI using the standard Wilder's RSI formula: RSI = 100 - (100 / (1 + RS)), where RS = Average Gain / Average Loss over the specified period. Three separate RSI calculations run simultaneously:
- RSI(6): Uses 6-period lookback for high sensitivity to recent price changes, useful for scalping and early signal detection
- RSI(14): Standard 14-period RSI for balanced analysis, the most commonly used RSI period
- RSI(24): Longer 24-period RSI for trend confirmation, provides smoother signals with less noise
Each RSI can be smoothed using EMA, SMA, RMA (Wilder's smoothing), WMA, or Zero-Lag smoothing. Zero-Lag smoothing uses the formula: ZL-RSI = RSI + (RSI - RSI ) to reduce lag while maintaining signal quality. You can apply individual smoothing lengths to each RSI period, or use global smoothing where all three RSIs share the same smoothing length.
Dynamic Overbought/Oversold Thresholds:
Static thresholds (default 70/30) are adjusted based on market volatility using ATR. The formula: Dynamic OB = Base OB + (ATR ร Volatility Multiplier ร Base Percentage / 100), Dynamic OS = Base OS - (ATR ร Volatility Multiplier ร Base Percentage / 100). This adapts to volatile markets where traditional 70/30 levels may be too restrictive. During high volatility, the dynamic thresholds widen, and during low volatility, they narrow. The thresholds are clamped between 0-100 to remain within RSI bounds. The ATR is cached for performance optimization, updating on confirmed bars and real-time bars.
Adaptive RSI Calculation:
An adaptive RSI adjusts the standard RSI(14) based on current volatility relative to average volatility. The calculation: Adaptive Factor = (Current ATR / SMA of ATR over 20 periods) ร Volatility Multiplier. If SMA of ATR is zero (edge case), the adaptive factor defaults to 0. The adaptive RSI = Base RSI ร (1 + Adaptive Factor), clamped to 0-100. This makes the indicator more responsive during high volatility periods when traditional RSI may lag. The adaptive RSI is used for signal generation (buy/sell signals) but is not plotted on the chart.
Overbought/Oversold Fill Zones:
The script provides visual fill zones between the RSI line and the threshold lines when RSI is in overbought or oversold territory. The fill logic uses inclusive conditions: fills are shown when RSI is currently in the zone OR was in the zone on the previous bar. This ensures complete coverage of entry and exit boundaries. A minimum gap of 0.1 RSI points is maintained between the RSI plot and threshold line to ensure reliable polygon rendering in TradingView. The fill uses invisible plots at the threshold levels and the RSI value, with the fill color applied between them. You can select which RSI (6, 14, or 24) to use for the fill zones.
Divergence Detection
Regular Divergence:
Bullish divergence: Price makes a lower low (current low < lowest low from previous lookback period) while RSI makes a higher low (current RSI > lowest RSI from previous lookback period). Bearish divergence: Price makes a higher high (current high > highest high from previous lookback period) while RSI makes a lower high (current RSI < highest RSI from previous lookback period). The script compares current price/RSI values to the lowest/highest values from the previous lookback period using ta.lowest() and ta.highest() functions with index to reference the previous period's extreme.
Pivot-Based Divergence:
An enhanced divergence detection method that uses actual pivot points instead of simple lowest/highest comparisons. This provides more accurate divergence detection by identifying significant pivot lows/highs in both price and RSI. The pivot-based method uses a tolerance-based approach with configurable constants: 1% tolerance for price comparisons (priceTolerancePercent = 0.01) and 1.0 RSI point absolute tolerance for RSI comparisons (pivotTolerance = 1.0). Minimum divergence threshold is 1.0 RSI point (minDivergenceThreshold = 1.0). It looks for two recent pivot points and compares them: for bullish divergence, price makes a lower low (at least 1% lower) while RSI makes a higher low (at least 1.0 point higher). This method reduces false divergences by requiring actual pivot points rather than just any low/high within a period. When enabled, pivot-based divergence replaces the traditional method for more accurate signal generation.
Strong Divergence:
Regular divergence is confirmed by an engulfing candle pattern. Bullish engulfing requires: (1) Previous candle is bearish (close < open ), (2) Current candle is bullish (close > open), (3) Current close > previous open, (4) Current open < previous close. Bearish engulfing is the inverse: previous bullish, current bearish, current close < previous open, current open > previous close. Strong divergence signals are marked with visual indicators (๐ for bullish, ๐ป for bearish) and have separate alert conditions.
Hidden Divergence:
Continuation patterns that signal trend continuation rather than reversal. Bullish hidden divergence: Price makes a higher low (current low > lowest low from previous period) but RSI makes a lower low (current RSI < lowest RSI from previous period). Bearish hidden divergence: Price makes a lower high (current high < highest high from previous period) but RSI makes a higher high (current RSI > highest RSI from previous period). These patterns indicate the trend is likely to continue in the current direction.
Volume Confirmation System
Volume threshold filtering requires current volume to exceed the volume SMA multiplied by the threshold factor. The formula: Volume Confirmed = Volume > (Volume SMA ร Threshold). If the threshold is set to 0.1 or lower, volume confirmation is effectively disabled (always returns true). This allows you to use the indicator without volume filtering if desired.
Volume Climax is detected when volume exceeds: Volume SMA + (Volume StdDev ร Multiplier). This indicates potential capitulation moments where extreme volume accompanies price movements. Volume Dry-Up is detected when volume falls below: Volume SMA - (Volume StdDev ร Multiplier), indicating low participation periods that may produce unreliable signals. The volume SMA is cached for performance, updating on confirmed and real-time bars.
Multi-RSI Synergy
The script generates signals when multiple RSI periods align in overbought or oversold zones. This creates a confirmation system that reduces false signals. In "ALL" mode, all three RSIs (6, 14, 24) must be simultaneously above the overbought threshold OR all three must be below the oversold threshold. In "2-of-3" mode, any two of the three RSIs must align in the same direction. The script counts how many RSIs are in each zone: twoOfThreeOB = ((rsi6OB ? 1 : 0) + (rsi14OB ? 1 : 0) + (rsi24OB ? 1 : 0)) >= 2.
Synergy signals require: (1) Multi-RSI alignment (ALL or 2-of-3), (2) Volume confirmation, (3) Reset condition satisfied (enough bars since last synergy signal), (4) Additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance). Separate reset conditions track buy and sell signals independently. The reset condition uses ta.barssince() to count bars since the last trigger, returning true if the condition never occurred (allowing first signal) or if enough bars have passed.
Regression Forecasting
The script uses historical RSI values to forecast future RSI direction using four methods. The forecast horizon is configurable (1-50 bars ahead). Historical data is collected into an array, and regression coefficients are calculated based on the selected method.
Linear Regression: Calculates the least-squares fit line (y = mx + b) through the last N RSI values. The calculation: meanX = sumX / horizon, meanY = sumY / horizon, denominator = sumXยฒ - horizon ร meanXยฒ, m = (sumXY - horizon ร meanX ร meanY) / denominator, b = meanY - m ร meanX. The forecast projects this line forward: forecast = b + m ร i for i = 1 to horizon.
Polynomial Regression: Fits a quadratic curve (y = axยฒ + bx + c) to capture non-linear trends. The system of equations is solved using Cramer's rule with a 3ร3 determinant. If the determinant is too small (< 0.0001), the system falls back to linear regression. Coefficients are calculated by solving: nรc + sumXรb + sumXยฒรa = sumY, sumXรc + sumXยฒรb + sumXยณรa = sumXY, sumXยฒรc + sumXยณรb + sumXโดรa = sumXยฒY. Note: Due to the O(nยณ) computational complexity of polynomial regression, the forecast horizon is automatically limited to a maximum of 20 bars when using polynomial regression to maintain optimal performance. If you set a horizon greater than 20 bars with polynomial regression, it will be automatically capped at 20 bars.
Exponential Smoothing: Applies exponential smoothing with adaptive alpha = 2/(horizon+1). The smoothing iterates from oldest to newest value: smoothed = alpha ร series + (1 - alpha) ร smoothed. Trend is calculated by comparing current smoothed value to an earlier smoothed value (at 60% of horizon): trend = (smoothed - earlierSmoothed) / (horizon - earlierIdx). Forecast: forecast = base + trend ร i.
Moving Average: Uses the difference between short MA (horizon/2) and long MA (horizon) to estimate trend direction. Trend = (maShort - maLong) / (longLen - shortLen). Forecast: forecast = maShort + trend ร i.
Confidence bands are calculated using RMSE (Root Mean Squared Error) of historical forecast accuracy. The error calculation compares historical values with forecast values: RMSE = sqrt(sumSquaredError / count). If insufficient data exists, it falls back to calculating standard deviation of recent RSI values. Confidence bands = forecast ยฑ (RMSE ร confidenceLevel). All forecast values and confidence bands are clamped to 0-100 to remain within RSI bounds. The regression functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, division-by-zero protection, and bounds checking for all array access operations to prevent runtime errors.
Strong Top/Bottom Detection
Strong buy signals require three conditions: (1) RSI is at its lowest point within the bottom period: rsiVal <= ta.lowest(rsiVal, bottomPeriod), (2) RSI is below the oversold threshold minus a buffer: rsiVal < (oversoldThreshold - rsiTopBottomBuffer), where rsiTopBottomBuffer = 2.0 RSI points, (3) The absolute difference between current RSI and the lowest RSI exceeds the threshold value: abs(rsiVal - ta.lowest(rsiVal, bottomPeriod)) > threshold. This indicates a bounce from extreme levels with sufficient distance from the absolute low.
Strong sell signals use the inverse logic: RSI at highest point, above overbought threshold + rsiTopBottomBuffer (2.0 RSI points), and difference from highest exceeds threshold. Both signals also require: volume confirmation, reset condition satisfied (separate reset for buy vs sell), and all additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance).
The reset condition uses separate logic for buy and sell: resetCondBuy checks bars since isRSIAtBottom, resetCondSell checks bars since isRSIAtTop. This ensures buy signals reset based on bottom conditions and sell signals reset based on top conditions, preventing incorrect signal blocking.
Filtering System
RSI(50) Filter: Only allows buy signals when RSI(14) > 50 (bullish momentum) and sell signals when RSI(14) < 50 (bearish momentum). This filter ensures you're buying in uptrends and selling in downtrends from a momentum perspective. The filter is optional and can be disabled. Recommended to enable for noise reduction.
Trend Filter: Uses a long-term EMA (default 200) to determine trend direction. Buy signals require price above EMA, sell signals require price below EMA. The EMA slope is calculated as: emaSlope = ema - ema . Optional EMA slope filter additionally requires the EMA to be rising (slope > 0) for buy signals or falling (slope < 0) for sell signals. This provides stronger trend confirmation by requiring both price position and EMA direction.
ADX Filter: Uses the Directional Movement Index (calculated via ta.dmi()) to measure trend strength. Signals only fire when ADX exceeds the threshold (default 20), indicating a strong trend rather than choppy markets. The ADX calculation uses separate length and smoothing parameters. This filter helps avoid signals during sideways/consolidation periods.
Volume Dry-Up Avoidance: Prevents signals during periods of extremely low volume relative to average. If volume dry-up is detected and the filter is enabled, signals are blocked. This helps avoid unreliable signals that occur during low participation periods.
RSI Momentum Confirmation: Requires RSI to be accelerating in the signal direction before confirming signals. For buy signals, RSI must be consistently rising (recovering from oversold) over the lookback period. For sell signals, RSI must be consistently falling (declining from overbought) over the lookback period. The momentum check verifies that all consecutive changes are in the correct direction AND the cumulative change is significant. This filter ensures signals only fire when RSI momentum aligns with the signal direction, reducing false signals from weak momentum.
Multi-Timeframe Confirmation: Requires higher timeframe RSI to align with the signal direction. For buy signals, current RSI must be below the higher timeframe RSI by at least the confirmation threshold. For sell signals, current RSI must be above the higher timeframe RSI by at least the confirmation threshold. This ensures signals align with the larger trend context, reducing counter-trend trades. The higher timeframe RSI is fetched using request.security() from the selected timeframe.
All filters use the pattern: filterResult = not filterEnabled OR conditionMet. This means if a filter is disabled, it always passes (returns true). Filters can be combined, and all must pass for a signal to fire.
RSI Centerline and Period Crossovers
RSI(50) Centerline Crossovers: Detects when the selected RSI source crosses above or below the 50 centerline. Bullish crossover: ta.crossover(rsiSource, 50), bearish crossover: ta.crossunder(rsiSource, 50). You can select which RSI (6, 14, or 24) to use for these crossovers. These signals indicate momentum shifts from bearish to bullish (above 50) or bullish to bearish (below 50).
RSI Period Crossovers: Detects when different RSI periods cross each other. Available pairs: RSI(6) ร RSI(14), RSI(14) ร RSI(24), or RSI(6) ร RSI(24). Bullish crossover: fast RSI crosses above slow RSI (ta.crossover(rsiFast, rsiSlow)), indicating momentum acceleration. Bearish crossover: fast RSI crosses below slow RSI (ta.crossunder(rsiFast, rsiSlow)), indicating momentum deceleration. These crossovers can signal shifts in momentum before price moves.
StochRSI Calculation
Stochastic RSI applies the Stochastic oscillator formula to RSI values instead of price. The calculation: %K = ((RSI - Lowest RSI) / (Highest RSI - Lowest RSI)) ร 100, where the lookback is the StochRSI length. If the range is zero, %K defaults to 50.0. %K is then smoothed using SMA with the %K smoothing length. %D is calculated as SMA of smoothed %K with the %D smoothing length. All values are clamped to 0-100. You can select which RSI (6, 14, or 24) to use as the source for StochRSI calculation.
RSI Bollinger Bands
Bollinger Bands are applied to RSI(14) instead of price. The calculation: Basis = SMA(RSI(14), BB Period), StdDev = stdev(RSI(14), BB Period), Upper = Basis + (StdDev ร Deviation Multiplier), Lower = Basis - (StdDev ร Deviation Multiplier). This creates dynamic zones around RSI that adapt to RSI volatility. When RSI touches or exceeds the bands, it indicates extreme conditions relative to recent RSI behavior.
Noise Reduction System
The script includes a comprehensive noise reduction system to filter false signals and improve accuracy. When enabled, signals must pass multiple quality checks:
Signal Strength Requirement: RSI must be at least X points away from the centerline (50). For buy signals, RSI must be at least X points below 50. For sell signals, RSI must be at least X points above 50. This ensures signals only trigger when RSI is significantly in oversold/overbought territory, not just near neutral.
Extreme Zone Requirement: RSI must be deep in the OB/OS zone. For buy signals, RSI must be at least X points below the oversold threshold. For sell signals, RSI must be at least X points above the overbought threshold. This ensures signals only fire in extreme conditions where reversals are more likely.
Consecutive Bar Confirmation: The signal condition must persist for N consecutive bars before triggering. This reduces false signals from single-bar spikes or noise. The confirmation checks that the signal condition was true for all bars in the lookback period.
Zone Persistence (Optional): Requires RSI to remain in the OB/OS zone for N consecutive bars, not just touch it. This ensures RSI is truly in an extreme state rather than just briefly touching the threshold. When enabled, this provides stricter filtering for higher-quality signals.
RSI Slope Confirmation (Optional): Requires RSI to be moving in the expected signal direction. For buy signals, RSI should be rising (recovering from oversold). For sell signals, RSI should be falling (declining from overbought). This ensures momentum is aligned with the signal direction. The slope is calculated by comparing current RSI to RSI N bars ago.
All noise reduction filters can be enabled/disabled independently, allowing you to customize the balance between signal frequency and accuracy. The default settings provide a good balance, but you can adjust them based on your trading style and market conditions.
Alert System
The script includes separate alert conditions for each signal type: buy/sell (adaptive RSI crossovers), divergence (regular, strong, hidden), crossovers (RSI50 centerline, RSI period crossovers), synergy signals, and trend breaks. Each alert type has its own alertcondition() declaration with a unique title and message.
An optional cooldown system prevents alert spam by requiring a minimum number of bars between alerts of the same type. The cooldown check: canAlert = na(lastAlertBar) OR (bar_index - lastAlertBar >= cooldownBars). If the last alert bar is na (first alert), it always allows the alert. Each alert type maintains its own lastAlertBar variable, so cooldowns are independent per signal type. The default cooldown is 10 bars, which is recommended for noise reduction.
Higher Timeframe RSI
The script can display RSI from a higher timeframe using request.security(). This allows you to see the RSI context from a larger timeframe (e.g., daily RSI on an hourly chart). The higher timeframe RSI uses RSI(14) calculation from the selected timeframe. This provides context for the current timeframe's RSI position relative to the larger trend.
RSI Pivot Trendlines
The script can draw trendlines connecting pivot highs and lows on RSI(6). This feature helps visualize RSI trends and identify potential trend breaks.
Pivot Detection: Pivots are detected using a configurable period. The script can require pivots to have minimum strength (RSI points difference from surrounding bars) to filter out weak pivots. Lower minPivotStrength values detect more pivots (more trendlines), while higher values detect only stronger pivots (fewer but more significant trendlines). Pivot confirmation is optional: when enabled, the script waits N bars to confirm the pivot remains the extreme, reducing repainting. Pivot confirmation functions (f_confirmPivotLow and f_confirmPivotHigh) are always called on every bar for consistency, as recommended by TradingView. When pivot bars are not available (na), safe default values are used, and the results are then used conditionally based on confirmation settings. This ensures consistent calculations and prevents calculation inconsistencies.
Trendline Drawing: Uptrend lines connect confirmed pivot lows (green), and downtrend lines connect confirmed pivot highs (red). By default, only the most recent trendline is shown (old trendlines are deleted when new pivots are confirmed). This keeps the chart clean and uncluttered. If "Keep Historical Trendlines" is enabled, the script preserves up to N historical trendlines (configurable via "Max Trendlines to Keep", default 5). When historical trendlines are enabled, old trendlines are saved to arrays instead of being deleted, allowing you to see multiple trendlines simultaneously for better trend analysis. The arrays are automatically limited to prevent memory accumulation.
Trend Break Detection: Signals are generated when RSI breaks above or below trendlines. Uptrend breaks (RSI crosses below uptrend line) generate buy signals. Downtrend breaks (RSI crosses above downtrend line) generate sell signals. Optional trend break confirmation requires the break to persist for N bars and optionally include volume confirmation. Trendline angle filtering can exclude flat/weak trendlines from generating signals (minTrendlineAngle > 0 filters out weak/flat trendlines).
How Components Work Together
The combination of multiple RSI periods provides confirmation across different timeframes, reducing false signals. RSI(6) catches early moves, RSI(14) provides balanced signals, and RSI(24) confirms longer-term trends. When all three align (synergy), it indicates strong consensus across timeframes.
Volume confirmation ensures signals occur with sufficient market participation, filtering out low-volume false breakouts. Volume climax detection identifies potential reversal points, while volume dry-up avoidance prevents signals during unreliable low-volume periods.
Trend filters align signals with the overall market direction. The EMA filter ensures you're trading with the trend, and the EMA slope filter adds an additional layer by requiring the trend to be strengthening (rising EMA for buys, falling EMA for sells).
ADX filter ensures signals only fire during strong trends, avoiding choppy/consolidation periods. RSI(50) filter ensures momentum alignment with the trade direction.
Momentum confirmation requires RSI to be accelerating in the signal direction, ensuring signals only fire when momentum is aligned. Multi-timeframe confirmation ensures signals align with higher timeframe trends, reducing counter-trend trades.
Divergence detection identifies potential reversals before they occur, providing early warning signals. Pivot-based divergence provides more accurate detection by using actual pivot points. Hidden divergence identifies continuation patterns, useful for trend-following strategies.
The noise reduction system combines multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to significantly reduce false signals. These filters work together to ensure only high-quality signals are generated.
The synergy system requires alignment across all RSI periods for highest-quality signals, significantly reducing false positives. Regression forecasting provides forward-looking context, helping anticipate potential RSI direction changes.
Pivot trendlines provide visual trend analysis and can generate signals when RSI breaks trendlines, indicating potential reversals or continuations.
Reset conditions prevent signal spam by requiring a minimum number of bars between signals. Separate reset conditions for buy and sell signals ensure proper signal management.
Usage Instructions
Configuration Presets (Recommended): The script includes optimized preset configurations for instant setup. Simply select your trading style from the "Configuration Preset" dropdown:
- Scalping Preset: RSI(4, 7, 9) with minimal smoothing. Noise reduction disabled, momentum confirmation disabled for fastest signals.
- Day Trading Preset: RSI(6, 9, 14) with light smoothing. Momentum confirmation enabled for better signal quality.
- Swing Trading Preset: RSI(14, 14, 21) with moderate smoothing. Balanced configuration for medium-term trades.
- Position Trading Preset: RSI(24, 21, 28) with heavier smoothing. Optimized for longer-term positions with all filters active.
- Custom Mode: Full manual control over all settings. Default behavior matches previous script versions.
Presets automatically configure RSI periods, smoothing lengths, and filter settings. You can still manually adjust any setting after selecting a preset if needed.
Getting Started: The easiest way to get started is to select a configuration preset matching your trading style (Scalping, Day Trading, Swing Trading, or Position Trading) from the "Configuration Preset" dropdown. This instantly configures all settings for optimal performance. Alternatively, use "Custom" mode for full manual control. The default configuration (Custom mode) shows RSI(6), RSI(14), and RSI(24) with their default smoothing. Overbought/oversold fill zones are enabled by default.
Customizing RSI Periods: Adjust the RSI lengths (6, 14, 24) based on your trading timeframe. Shorter periods (6) for scalping, standard (14) for day trading, longer (24) for swing trading. You can disable any RSI period you don't need.
Smoothing Selection: Choose smoothing method based on your needs. EMA provides balanced smoothing, RMA (Wilder's) is traditional, Zero-Lag reduces lag but may increase noise. Adjust smoothing lengths individually or use global smoothing for consistency. Note: Smoothing lengths are automatically validated to ensure they are always less than the corresponding RSI period length. If you set smoothing >= RSI length, it will be auto-adjusted to prevent invalid configurations.
Dynamic OB/OS: The dynamic thresholds automatically adapt to volatility. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets.
Volume Confirmation: Set volume threshold to 1.2 (default) for standard confirmation, higher for stricter filtering, or 0.1 to disable volume filtering entirely.
Multi-RSI Synergy: Use "ALL" mode for highest-quality signals (all 3 RSIs must align), or "2-of-3" mode for more frequent signals. Adjust the reset period to control signal frequency.
Filters: Enable filters gradually to find your preferred balance. Start with volume confirmation, then add trend filter, then ADX for strongest confirmation. RSI(50) filter is useful for momentum-based strategies and is recommended for noise reduction. Momentum confirmation and multi-timeframe confirmation add additional layers of accuracy but may reduce signal frequency.
Noise Reduction: The noise reduction system is enabled by default with balanced settings. Adjust minSignalStrength (default 3.0) to control how far RSI must be from centerline. Increase requireConsecutiveBars (default 1) to require signals to persist longer. Enable requireZonePersistence and requireRsiSlope for stricter filtering (higher quality but fewer signals). Start with defaults and adjust based on your needs.
Divergence: Enable divergence detection and adjust lookback periods. Strong divergence (with engulfing confirmation) provides higher-quality signals. Hidden divergence is useful for trend-following strategies. Enable pivot-based divergence for more accurate detection using actual pivot points instead of simple lowest/highest comparisons. Pivot-based divergence uses tolerance-based matching (1% for price, 1.0 RSI point for RSI) for better accuracy.
Forecasting: Enable regression forecasting to see potential RSI direction. Linear regression is simplest, polynomial captures curves, exponential smoothing adapts to trends. Adjust horizon based on your trading timeframe. Confidence bands show forecast uncertainty - wider bands indicate less reliable forecasts.
Pivot Trendlines: Enable pivot trendlines to visualize RSI trends and identify trend breaks. Adjust pivot detection period (default 5) - higher values detect fewer but stronger pivots. Enable pivot confirmation (default ON) to reduce repainting. Set minPivotStrength (default 1.0) to filter weak pivots - lower values detect more pivots (more trendlines), higher values detect only stronger pivots (fewer trendlines). Enable "Keep Historical Trendlines" to preserve multiple trendlines instead of just the most recent one. Set "Max Trendlines to Keep" (default 5) to control how many historical trendlines are preserved. Enable trend break confirmation for more reliable break signals. Adjust minTrendlineAngle (default 0.0) to filter flat trendlines - set to 0.1-0.5 to exclude weak trendlines.
Alerts: Set up alerts for your preferred signal types. Enable cooldown to prevent alert spam. Each signal type has its own alert condition, so you can be selective about which signals trigger alerts.
Visual Elements and Signal Markers
The script uses various visual markers to indicate signals and conditions:
- "sBottom" label (green): Strong bottom signal - RSI at extreme low with strong buy conditions
- "sTop" label (red): Strong top signal - RSI at extreme high with strong sell conditions
- "SyBuy" label (lime): Multi-RSI synergy buy signal - all RSIs aligned oversold
- "SySell" label (red): Multi-RSI synergy sell signal - all RSIs aligned overbought
- ๐ emoji (green): Strong bullish divergence detected
- ๐ป emoji (red): Strong bearish divergence detected
- ๐ emoji: Weak divergence signals (if enabled)
- "H-Bull" label: Hidden bullish divergence
- "H-Bear" label: Hidden bearish divergence
- โก marker (top of pane): Volume climax detected (extreme volume) - positioned at top for visibility
- ๐ง marker (top of pane): Volume dry-up detected (very low volume) - positioned at top for visibility
- โ triangle (lime): Uptrend break signal - RSI breaks below uptrend line
- โ triangle (red): Downtrend break signal - RSI breaks above downtrend line
- Triangle up (lime): RSI(50) bullish crossover
- Triangle down (red): RSI(50) bearish crossover
- Circle markers: RSI period crossovers
All markers are positioned at the RSI value where the signal occurs, using location.absolute for precise placement.
Signal Priority and Interpretation
Signals are generated independently and can occur simultaneously. Higher-priority signals generally indicate stronger setups:
1. Multi-RSI Synergy signals (SyBuy/SySell) - Highest priority: Requires alignment across all RSI periods plus volume and filter confirmation. These are the most reliable signals.
2. Strong Top/Bottom signals (sTop/sBottom) - High priority: Indicates extreme RSI levels with strong bounce conditions. Requires volume confirmation and all filters.
3. Divergence signals - Medium-High priority: Strong divergence (with engulfing) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal.
4. Adaptive RSI crossovers - Medium priority: Buy when adaptive RSI crosses below dynamic oversold, sell when it crosses above dynamic overbought. These use volatility-adjusted RSI for more accurate signals.
5. RSI(50) centerline crossovers - Medium priority: Momentum shift signals. Less reliable alone but useful when combined with other confirmations.
6. RSI period crossovers - Lower priority: Early momentum shift indicators. Can provide early warning but may produce false signals in choppy markets.
Best practice: Wait for multiple confirmations. For example, a synergy signal combined with divergence and volume climax provides the strongest setup.
Chart Requirements
For proper script functionality and compliance with TradingView requirements, ensure your chart displays:
- Symbol name: The trading pair or instrument name should be visible
- Timeframe: The chart timeframe should be clearly displayed
- Script name: "Ultimate RSI " should be visible in the indicator title
These elements help traders understand what they're viewing and ensure proper script identification. The script automatically includes this information in the indicator title and chart labels.
Performance Considerations
The script is optimized for performance:
- ATR and Volume SMA are cached using var variables, updating only on confirmed and real-time bars to reduce redundant calculations
- Forecast line arrays are dynamically managed: lines are reused when possible, and unused lines are deleted to prevent memory accumulation
- Calculations use efficient Pine Script functions (ta.rsi, ta.ema, etc.) which are optimized by TradingView
- Array operations are minimized where possible, with direct calculations preferred
- Polynomial regression automatically caps the forecast horizon at 20 bars (POLYNOMIAL_MAX_HORIZON constant) to prevent performance degradation, as polynomial regression has O(nยณ) complexity. This safeguard ensures optimal performance even with large horizon settings
- Pivot detection includes edge case handling to ensure reliable calculations even on early bars with limited historical data. Regression forecasting functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, and division-by-zero protection in all mathematical operations
The script should perform well on all timeframes. On very long historical data, forecast lines may accumulate if the horizon is large; consider reducing the forecast horizon if you experience performance issues. The polynomial regression performance safeguard automatically prevents performance issues for that specific regression type.
Known Limitations and Considerations
- Forecast lines are forward-looking projections and should not be used as definitive predictions. They provide context but are not guaranteed to be accurate.
- Dynamic OB/OS thresholds can exceed 100 or go below 0 in extreme volatility scenarios, but are clamped to 0-100 range. This means in very volatile markets, the dynamic thresholds may not widen as much as the raw calculation suggests.
- Volume confirmation requires sufficient historical volume data. On new instruments or very short timeframes, volume calculations may be less reliable.
- Higher timeframe RSI uses request.security() which may have slight delays on some data feeds.
- Regression forecasting requires at least N bars of history (where N = forecast horizon) before it can generate forecasts. Early bars will not show forecast lines.
- StochRSI calculation requires the selected RSI source to have sufficient history. Very short RSI periods on new charts may produce less reliable StochRSI values initially.
Practical Use Cases
The indicator can be configured for different trading styles and timeframes:
Swing Trading: Select the "Swing Trading" preset for instant optimal configuration. This preset uses RSI periods (14, 14, 21) with moderate smoothing. Alternatively, manually configure: Use RSI(24) with Multi-RSI Synergy in "ALL" mode, combined with trend filter (EMA 200) and ADX filter. This configuration provides high-probability setups with strong confirmation across multiple RSI periods.
Day Trading: Select the "Day Trading" preset for instant optimal configuration. This preset uses RSI periods (6, 9, 14) with light smoothing and momentum confirmation enabled. Alternatively, manually configure: Use RSI(6) with Zero-Lag smoothing for fast signal detection. Enable volume confirmation with threshold 1.2-1.5 for reliable entries. Combine with RSI(50) filter to ensure momentum alignment. Strong top/bottom signals work well for day trading reversals.
Trend Following: Enable trend filter (EMA) and EMA slope filter for strong trend confirmation. Use RSI(14) or RSI(24) with ADX filter to avoid choppy markets. Hidden divergence signals are useful for trend continuation entries.
Reversal Trading: Focus on divergence detection (regular and strong) combined with strong top/bottom signals. Enable volume climax detection to identify capitulation moments. Use RSI(6) for early reversal signals, confirmed by RSI(14) and RSI(24).
Forecasting and Planning: Enable regression forecasting with polynomial or exponential smoothing methods. Use forecast horizon of 10-20 bars for swing trading, 5-10 bars for day trading. Confidence bands help assess forecast reliability.
Multi-Timeframe Analysis: Enable higher timeframe RSI to see context from larger timeframes. For example, use daily RSI on hourly charts to understand the larger trend context. This helps avoid counter-trend trades.
Scalping: Select the "Scalping" preset for instant optimal configuration. This preset uses RSI periods (4, 7, 9) with minimal smoothing, disables noise reduction, and disables momentum confirmation for faster signals. Alternatively, manually configure: Use RSI(6) with minimal smoothing (or Zero-Lag) for ultra-fast signals. Disable most filters except volume confirmation. Use RSI period crossovers (RSI(6) ร RSI(14)) for early momentum shifts. Set volume threshold to 1.0-1.2 for less restrictive filtering.
Position Trading: Select the "Position Trading" preset for instant optimal configuration. This preset uses extended RSI periods (24, 21, 28) with heavier smoothing, optimized for longer-term trades. Alternatively, manually configure: Use RSI(24) with all filters enabled (Trend, ADX, RSI(50), Volume Dry-Up avoidance). Multi-RSI Synergy in "ALL" mode provides highest-quality signals.
Practical Tips and Best Practices
Getting Started: The fastest way to get started is to select a configuration preset that matches your trading style. Simply choose "Scalping", "Day Trading", "Swing Trading", or "Position Trading" from the "Configuration Preset" dropdown to instantly configure all settings optimally. For advanced users, use "Custom" mode for full manual control. The default configuration (Custom mode) is balanced and works well across different markets. After observing behavior, customize settings to match your trading style.
Reducing Repainting: All signals are based on confirmed bars, minimizing repainting. The script uses confirmed bar data for all calculations to ensure backtesting accuracy.
Signal Quality: Multi-RSI Synergy signals in "ALL" mode provide the highest-quality signals because they require alignment across all three RSI periods. These signals have lower frequency but higher reliability. For more frequent signals, use "2-of-3" mode. The noise reduction system further improves signal quality by requiring multiple confirmations (signal strength, extreme zone, consecutive bars, optional zone persistence and RSI slope). Adjust noise reduction settings to balance signal frequency vs. accuracy.
Filter Combinations: Start with volume confirmation, then add trend filter for trend alignment, then ADX filter for trend strength. Combining all three filters significantly reduces false signals but also reduces signal frequency. Find your balance based on your risk tolerance.
Volume Filtering: Set volume threshold to 0.1 or lower to effectively disable volume filtering if you trade instruments with unreliable volume data or want to test without volume confirmation. Standard confirmation uses 1.2-1.5 threshold.
RSI Period Selection: RSI(6) is most sensitive and best for scalping or early signal detection. RSI(14) provides balanced signals suitable for day trading. RSI(24) is smoother and better for swing trading and trend confirmation. You can disable any RSI period you don't need to reduce visual clutter.
Smoothing Methods: EMA provides balanced smoothing with moderate lag. RMA (Wilder's smoothing) is traditional and works well for RSI. Zero-Lag reduces lag but may increase noise. WMA gives more weight to recent values. Choose based on your preference for responsiveness vs. smoothness.
Forecasting: Linear regression is simplest and works well for trending markets. Polynomial regression captures curves and works better in ranging markets. Exponential smoothing adapts to trends. Moving average method is most conservative. Use confidence bands to assess forecast reliability.
Divergence: Strong divergence (with engulfing confirmation) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal, useful for trend-following strategies. Pivot-based divergence provides more accurate detection by using actual pivot points instead of simple lowest/highest comparisons. Adjust lookback periods based on your timeframe: shorter for day trading, longer for swing trading. Pivot divergence period (default 5) controls the sensitivity of pivot detection.
Dynamic Thresholds: Dynamic OB/OS thresholds automatically adapt to volatility. In volatile markets, thresholds widen; in calm markets, they narrow. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets.
Alert Management: Enable alert cooldown (default 10 bars, recommended) to prevent alert spam. Each alert type has its own cooldown, so you can set different cooldowns for different signal types. For example, use shorter cooldown for synergy signals (high quality) and longer cooldown for crossovers (more frequent). The cooldown system works independently for each signal type, preventing spam while allowing different signal types to fire when appropriate.
Technical Specifications
- Pine Script Version: v6
- Indicator Type: Non-overlay (displays in separate panel below price chart)
- Repainting Behavior: Minimal - all signals are based on confirmed bars, ensuring accurate backtesting results
- Performance: Optimized with caching for ATR and volume calculations. Forecast arrays are dynamically managed to prevent memory accumulation.
- Compatibility: Works on all timeframes (1 minute to 1 month) and all instruments (stocks, forex, crypto, futures, etc.)
- Edge Case Handling: All calculations include safety checks for division by zero, NA values, and boundary conditions. Reset conditions and alert cooldowns handle edge cases where conditions never occurred or values are NA.
- Reset Logic: Separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) ensure logical correctness.
- Input Parameters: 60+ customizable parameters organized into logical groups for easy configuration. Configuration presets available for instant setup (Scalping, Day Trading, Swing Trading, Position Trading, Custom).
- Noise Reduction: Comprehensive noise reduction system with multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to reduce false signals.
- Pivot-Based Divergence: Enhanced divergence detection using actual pivot points for improved accuracy.
- Momentum Confirmation: RSI momentum filter ensures signals only fire when RSI is accelerating in the signal direction.
- Multi-Timeframe Confirmation: Optional higher timeframe RSI alignment for trend confirmation.
- Enhanced Pivot Trendlines: Trendline drawing with strength requirements, confirmation, and trend break detection.
Technical Notes
- All RSI values are clamped to 0-100 range to ensure valid oscillator values
- ATR and Volume SMA are cached for performance, updating on confirmed and real-time bars
- Reset conditions handle edge cases: if a condition never occurred, reset returns true (allows first signal)
- Alert cooldown handles na values: if no previous alert, cooldown allows the alert
- Forecast arrays are dynamically sized based on horizon, with unused lines cleaned up
- Fill logic uses a minimum gap (0.1) to ensure reliable polygon rendering in TradingView
- All calculations include safety checks for division by zero and boundary conditions. Regression functions validate that horizon doesn't exceed array size, and all array access operations include bounds checking to prevent out-of-bounds errors
- The script uses separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) for logical correctness
- Background coloring uses a fallback system: dynamic color takes priority, then RSI(6) heatmap, then monotone if both are disabled
- Noise reduction filters are applied after accuracy filters, providing multiple layers of signal quality control
- Pivot trendlines use strength requirements to filter weak pivots, reducing noise in trendline drawing. Historical trendlines are stored in arrays and automatically limited to prevent memory accumulation when "Keep Historical Trendlines" is enabled
- Volume climax and dry-up markers are positioned at the top of the pane for better visibility
- All calculations are optimized with conditional execution - features only calculate when enabled (performance optimization)
- Input Validation: Automatic cross-input validation ensures smoothing lengths are always less than RSI period lengths, preventing configuration errors
- Configuration Presets: Four optimized preset configurations (Scalping, Day Trading, Swing Trading, Position Trading) for instant setup, plus Custom mode for full manual control
- Constants Management: Magic numbers extracted to documented constants for improved maintainability and easier tuning (pivot tolerance, divergence thresholds, fill gap, etc.)
- TradingView Function Consistency: All TradingView functions (ta.crossover, ta.crossunder, ta.atr, ta.lowest, ta.highest, ta.lowestbars, ta.highestbars, etc.) and custom functions that depend on historical results (f_consecutiveBarConfirmation, f_rsiSlopeConfirmation, f_rsiZonePersistence, f_applyAllFilters, f_rsiMomentum, f_forecast, f_confirmPivotLow, f_confirmPivotHigh) are called on every bar for consistency, as recommended by TradingView. Results are then used conditionally when needed. This ensures consistent calculations and prevents calculation inconsistencies.
BlackScrum Swing Boxes 1/2/3 After seeing influencers selling their indicator suite's online, I decided to start making replicas of them, maybe mine are better, maybe they are worse. I use them in my day to day trading and they help me make money, hopefully they help you make money.
Not financial advice, Do Your Own Research.
Everything provided without warranty or liability. If you stuff up, learn from it, get better, we all make mistakes.
// BlackScrum โ 1/2/3-Bar Swing Boxes (auto timeframe)
//
// DESCRIPTION
// This indicator displays three swing-direction boxes (1B, 2B, 3B) in the top-right corner of the chart.
// The boxes automatically adapt to the chart's timeframe (15m, 1H, 4H, 1D, etc.).
// Each box represents the direction of the most recently confirmed swing pivot:
// โข 1B โ 1-bar swing (fastest, most sensitive)
// โข 2B โ 2-bar swing (medium confirmation)
// โข 3B โ 3-bar swing (slowest, strongest confirmation)
//
// COLORS
// โข GREEN = last confirmed swing pivot was a higher low (up swing)
// โข RED = last confirmed swing pivot was a lower high (down swing)
// โข GREY = no clear swing yet (fresh/transition area)
//
// CONFLUENCE
// โข ALL GREEN = bullish alignment across 1B, 2B, 3B โ strong trend continuation signal
// โข ALL RED = bearish alignment across all three โ strong downtrend continuation signal
//
// HOW TO USE (TRADEPLAY)
//
// 1) ENTRIES
// โข Aggressive entry โ enter when ALL GREEN prints on your timeframe.
// โข Safer pullback entry โ wait for 1B to briefly turn red during a green 2B/3B,
// then flip back to green. Enter on the re-flip.
// โข Multi-timeframe filter:
// Take longs only when higher TF (e.g., 1H/4H) boxes are at least neutral-to-green.
//
// 2) EXITS
// โข Weakness exit โ when 1B flips against your position while 2B is neutral/red.
// โข Full exit โ when ALL RED prints.
// โข Time stop โ if price hasnโt moved after several bars of your execution timeframe.
//
// 3) STOP-LOSS / RISK
// โข Place stops beyond the latest opposite swing used by 2B or 3B.
// โข Add 0.5โ1ร ATR buffer if your market has stop-hunt volatility.
// โข Always size position based on the distance to the swing stop.
//
// 4) WHEN TO IGNORE SIGNALS
// โข Chop zones โ 1B flipping repeatedly while 2B/3B disagree.
// โข News candles โ wait for pivots to confirm on the *closed* bar.
//
// 5) USING WITH OTHER TOOLS
// โข With a trend ribbon (e.g., Larsson-style):
// Only take ALL GREEN longs when the ribbon is UP, and ALL RED shorts when ribbon is DOWN.
// โข With a Fear & Greed index:
// Prefer longs when F&G > 60,
// Avoid longs when F&G < 40 unless countertrend scalping.
//
// 6) TIMEFRAME GUIDANCE
// โข Scalping: 5m / 15m, confirmed by 1H or 4H boxes.
// โข Swinging: 1H / 4H with daily filter.
// โข Positioning: 1D with weekly confirmation.
//
// 7) INTERPRETATION CHEATSHEET
// โข 1B green, 2B grey, 3B red โ short-term bounce inside higher timeframe downtrend.
// โข 1B/2B green, 3B grey โ early trend reversal forming.
// โข All grey โ fresh swing area; wait for direction.
//
// 8) CUSTOMIZATION
// โข len1 / len2 / len3 control sensitivity (higher = slower & cleaner).
// โข Can add a timeframe header box (e.g., โ15m / 4H / 1Dโ).
// โข Can add a multi-timeframe grid (e.g., 15m | 1H | 4H | 1D each with 1B/2B/3B).
//
// ====================================================================================================
Clean Multi-Indicator Alignment System
Overview
A sophisticated multi-indicator alignment system designed for 24/7 trading across all markets, with pure signal-based exits and no time restrictions. Perfect for futures, forex, and crypto markets that operate around the clock.
Key Features
๐ฏ Multi-Indicator Confluence System
EMA Cross Strategy: Fast EMA (5) and Slow EMA (10) for precise trend direction
VWAP Integration: Institution-level price positioning analysis
RSI Momentum: 7-period RSI for momentum confirmation and reversal detection
MACD Signals: Optimized 8/17/5 configuration for scalping responsiveness
Volume Confirmation: Customizable volume multiplier (default 1.6x) for signal validation
๐ Advanced Entry Logic
Initial Full Alignment: Requires all 5 indicators + volume confirmation
Smart Continuation Entries: EMA9 pullback entries when trend momentum remains intact
Flexible Time Controls: Optional session filtering or 24/7 operation
๐ช Pure Signal-Based Exits
No Forced Closes: Positions exit only on technical signal reversals
Dual Exit Conditions: EMA9 breakdown + RSI flip OR MACD cross + EMA20 breakdown
Trend Following: Allows profitable trends to run their full course
Perfect for Swing Scalping: Ideal for multi-session position holding
๐ Visual Interface
Real-Time Status Dashboard: Live alignment monitoring for all indicators
Color-Coded Candles: Instant visual confirmation of entry/exit signals
Clean Chart Display: Toggle-able EMAs and VWAP with professional styling
Signal Differentiation: Clear labels for entries, X-crosses for exits
๐ Alert System
Entry Notifications: Separate alerts for buy/sell signals
Exit Warnings: Technical breakdown alerts for position management
Mobile Ready: Push notifications to TradingView mobile app
Market Applications
Perfect For:
Gold Futures (GC): 24-hour precious metals trading
NASDAQ Futures (NQ): High-volatility index scalping
Forex Markets: Currency pairs with continuous operation
Crypto Trading: 24/7 cryptocurrency momentum plays
Energy Futures: Oil, gas, and commodity swing trades
Optimal Timeframes:
1-5 Minutes: Ultra-fast scalping during high volatility
5-15 Minutes: Balanced approach for most markets
15-30 Minutes: Swing scalping for trend following
๐ง Smart Position Management
Tracks implied position direction
Prevents conflicting signals
Allows trend continuation entries
State-aware exit logic
โก Scalping Optimized
Fast-reacting indicators with shorter periods
Volume-based confirmation reduces false signals
Clean entry/exit visualization
Minimal lag for time-sensitive trades
Configuration Options
All parameters fully customizable:
EMA Lengths: Adjustable from 1-30 periods
RSI Period: 1-14 range for different market conditions
MACD Settings: Fast (1-15), Slow (1-30), Signal (1-10)
Volume Confirmation: 0.5-5.0x multiplier range
Visual Preferences: Colors, displays, and table options
Risk Management Features
Clear visual exit signals prevent emotion-based decisions
Volume confirmation reduces false breakouts
Multi-indicator confluence improves signal quality
Optional time filtering for session-specific strategies
Best Use Cases
Futures Scalping: NQ, ES, GC during active sessions
Forex Swing Trading: Major pairs during overlap periods
Crypto Momentum: Bitcoin, Ethereum trend following
24/7 Automated Systems: Algorithmic trading implementation
Multi-Market Scanning: Portfolio-wide signal monitoring
ProScalper๐ ProScalper - Professional 1-Minute Scalping System
๐ฏ Overview
ProScalper is a sophisticated, multi-confluence scalping indicator designed specifically for 1-minute chart trading. Combining advanced technical analysis with intelligent signal filtering, it provides high-probability trade setups with clear entry, stop loss, and take profit levels.
โจ Key Features
๐บ Smart Signal Detection
Range Filter Technology: Fast-responding trend detection (25-period) optimized for 1-minute timeframe
Medium-sized triangles appear above/below candles for clear buy/sell signals
Only most recent signal shown - no chart clutter
Automatically deletes old signals when new ones appear
๐ Real-Time Signal Table
Top-center display shows complete trade breakdown
Grade system: A+, A, B+, B, C+ ratings for every setup
All confluence reasons listed with checkmarks
Score and R:R displayed for instant trade quality assessment
Color-coded: Green for LONG, Red for SHORT
๐ Multi-Confluence Analysis
ProScalper combines 10+ technical factors:
โ
EMA Trend: 4 EMAs (200, 48, 13, 8) for multi-timeframe alignment
โ
VWAP: Dynamic support/resistance
โ
Fibonacci Retracement: Golden ratio (61.8%), 50%, 38.2%, 78.6%
โ
Range Filter: Adaptive trend confirmation
โ
Pivot Points: Smart reversal detection
โ
Volume Analysis: Spike detection and volume profile
โ
Higher Timeframe: 5-minute trend confirmation
โ
HTF Support/Resistance: Key levels from higher timeframes
โ
Liquidity Sweeps: Smart money detection
โ
Opening Range Breakout: First 15-minute range
๐ฐ Complete Trade Management
Entry Lines: Dashed green (LONG) or red (SHORT) showing exact entry
Stop Loss: Red dashed line with price label
Take Profit: Blue dashed line with price label and R:R
Partial Exits: 1R level marked with orange dashed line
All lines extend 10 bars for clean alignment with Fibonacci levels
๐ Dynamic Risk/Reward
Adaptive R:R calculation based on market volatility
Targets adjusted for pivot distances
Minimum 1.2:1 to maximum 3.5:1 for scalping
Position sizing based on account risk percentage
๐จ Professional Visualization
Clean chart layout - no clutter, only essential information
Custom EMA colors: Red (200), Aqua (48), Green (13), White (8)
Gold VWAP line for key support/resistance
Color-coded Fibonacci: Bright yellow (61.8%), white (50%), orange (38.2%), fuchsia (78.6%)
No shaded zones - pure price action focus
๐ Performance Tracking
Real-time statistics table (optional)
Win rate, total trades, P&L tracking
Average R:R and win/loss ratios
Setup-specific performance metrics
โ๏ธ Settings & Customization
Risk Management
Adjustable account risk per trade (default: 0.5%)
ATR-based stop loss multiplier (default: 0.8 for tight scalping)
Dynamic position sizing
Signal Sensitivity
Confluence Score Threshold: 40-100 (default: 55 for balanced signals)
Range Filter Period: 25 bars (fast signals for 1-min)
Range Filter Multiplier: 2.2 (tighter bands for more signals)
Visual Controls
Toggle signal table on/off
Show/hide Fibonacci levels
Control EMA visibility
Adjust table text size
Partial Exits
1R: 50% (default)
2R: 30% (default)
3R: 20% (default)
Fully customizable percentages
Trailing Stops
ATR-Based (best for scalping)
Pivot-Based
EMA-Based
Breakeven trigger at 0.8R
๐ฏ Best Use Cases
Ideal For:
โ
1-minute scalping on liquid instruments
โ
Day traders looking for quick 2-8 minute trades
โ
High-frequency trading with 8-15 signals per session
โ
Trending markets where Range Filter excels
โ
Crypto, Forex, Futures - works on all liquid assets
Trading Style:
Timeframe: 1-minute (can work on 3-5 min with adjusted settings)
Hold Time: 3-8 minutes average
Target: 1.2-3R per trade
Frequency: 8-15 signals per day
Win Rate: 45-55% (with proper risk management)
๐ How to Use
Step 1: Wait for Signal
Watch for green triangle (BUY) or red triangle (SELL)
Signal table appears at top center automatically
Step 2: Review Confluence
Check grade (prefer A+, A, B+ for best quality)
Review all reasons listed in table
Confirm score is above your threshold (55+ recommended)
Note the R:R ratio
Step 3: Enter Trade
Enter at current market price
Set stop loss at red dashed line
Set take profit at blue dashed line
Mark 1R level (orange line) for partial exit
Step 4: Manage Trade
Exit 50% at 1R (orange line)
Move to breakeven after 0.8R
Trail remaining position using your chosen method
Exit fully at TP or opposite signal
๐จ Chart Setup Recommendations
Optimal Display:
Timeframe: 1-minute
Chart Type: Candles or Heikin Ashi
Background: Dark theme for best color visibility
Volume: Enable volume bars below chart
Complementary Indicators (optional):
Order flow/Delta for institutional confirmation
Market profile for key levels
Economic calendar for news avoidance
โ ๏ธ Important Notes
Risk Disclaimer:
Not financial advice - for educational purposes only
Always use proper risk management (0.5-1% per trade max)
Past performance doesn't guarantee future results
Test on demo account before live trading
Best Practices:
โ
Trade during high liquidity hours (9:30-11 AM, 2-4 PM EST)
โ
Avoid news events and market open/close (first/last 2 minutes)
โ
Use tight stops (0.8-1.0 ATR) for 1-minute scalping
โ
Take partial profits quickly (1R = 50% off)
โ
Respect max daily loss limits (3% recommended)
โ
Focus on A and B grade setups for consistency
What Makes This Different:
๐ฏ Complete system - not just signals, but full trade management
๐ Multi-confluence - 10+ factors analyzed per trade
๐จ Professional visualization - clean, focused chart design
โก Optimized for 1-min - settings specifically tuned for fast scalping
๐ Transparent reasoning - see exactly why each trade was taken
๐ Grade system - instantly know trade quality
๐ง Technical Details
Pine Script Version: 5
Overlay: Yes (plots on price chart)
Max Lines: 500
Max Labels: 100
Non-repainting: All signals confirmed on bar close
Alerts: Compatible with TradingView alerts
๐ Support & Updates
This indicator is actively maintained and optimized for 1-minute scalping. Settings can be adjusted for different timeframes and trading styles, but default configuration is specifically tuned for high-frequency 1-minute scalping.
๐ Get Started
Add ProScalper to your 1-minute chart
Adjust settings to your risk tolerance
Wait for signals (green/red triangles)
Follow the signal table guidance
Manage trades using provided levels
Track performance with stats table
Happy Scalping! ๐โก๐ฐ
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide
๐ Important Technical Limitation ๐
**This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means:
- Results will vary depending on what chart timeframe you're viewing
- Levels may not match actual higher timeframe candle highs/lows
- You might miss important wicks or gaps that occurred between chart timeframe bars
- **Always verify levels against actual higher timeframe charts before trading**
Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks)
Core Components
1. Dual Timeframe Level Tracking
- Short Timeframe Levels: Tracks opening price extremes within shorter periods
- Long Timeframe Levels: Tracks actual high/low extremes within longer periods
- Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period
- Momentum Detection: Identifies when levels change mid-period, indicating active price movement
2. Visual Zone System
- High Zones: Areas between long timeframe highs and short timeframe highs
- Low Zones: Areas between long timeframe lows and short timeframe lows
- Fill Coloring: Dynamic colors based on whether levels are static or actively changing
- Momentum Highlighting: Special colors when levels break during active periods
3. Customizable Display Options
- Multiple Plot Styles: Line, circles, or cross markers
- Flexible Timeframe Selection: Wide range of short and long timeframe combinations
- Color Customization: Separate colors for each level type and momentum state
- Toggle Controls: Show/hide different elements based on trading preference
Main Features
Timeframe Settings
- Short Timeframe Options: 15m, 30m, 1h, 2h, 4h
- Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W
- Recommended Combinations:
- Scalping: 15m/1h or 30m/2h
- Day Trading: 30m/4h or 1h/4h
- Swing Trading: 4h/1D or 1D/1W
Display Configuration
- Level Visibility: Toggle short/long timeframe levels independently
- Fill Zone Control: Enable/disable colored zones between levels
- Momentum Fills: Special highlighting for actively changing levels
- Line Customization: Width, style, and color options for all elements
Color System
- Short TF High: Default red for resistance levels
- Short TF Low: Default green for support levels
- Long TF High: Transparent red for broader resistance context
- Long TF Low: Transparent green for broader support context
- Momentum Colors: Brighter colors when levels are actively changing
Technical Implementation Details
How Level Tracking Works
The indicator uses a custom tracking function that:
1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin
2. Tracks Extremes: Monitors highest/lowest values within each period
3. Resets on New Periods: Clears tracking when timeframe periods change
4. Updates Mid-Period: Continues tracking if new extremes are reached
The Timeframe Limitation Explained
`pinescript
// What the indicator does:
short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start
= track_highest(open, short_tf_start) // BUT uses chart TF opens!
// What true multi-timeframe would be:
// short_tf_high = request.security(syminfo.tickerid, short_timeframe, high)
`
This means:
- On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows
- On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows
- Results will be different between chart timeframes
- May miss important price action that occurred between your chart's bars
Visual Elements
1. Level Lines
- Short TF High: Upper resistance line from shorter timeframe analysis
- Short TF Low: Lower support line from shorter timeframe analysis
- Long TF High: Broader resistance context from longer timeframe
- Long TF Low: Broader support context from longer timeframe
2. Zone Fills
- High Zone: Area between long TF high and short TF high (potential resistance cluster)
- Low Zone: Area between long TF low and short TF low (potential support cluster)
- Regular Fill: Standard transparency when levels are static
- Momentum Fill: Enhanced visibility when levels are actively changing
3. Dynamic Coloring
- Static Periods: Normal colors when levels haven't changed recently
- Active Periods: Momentum colors when levels are being tested/broken
- Confluence Zones: Different intensities based on timeframe alignment
Trading Applications
1. Support/Resistance Trading
- Entry Points: Trade bounces from zone boundaries
- Confluence Areas: Focus on areas where short and long TF levels cluster
- Zone Breaks: Enter on confirmed breaks through entire zones
- Multiple Timeframe Confirmation: Stronger signals when both timeframes align
2. Range Trading
- Zone Boundaries: Use fill zones as range extremes
- Mean Reversion: Trade back toward opposite zone when price reaches extremes
- Breakout Preparation: Watch for momentum color changes indicating potential breakouts
- Risk Management: Place stops outside the opposite zone
3. Trend Following
- Direction Bias: Trade in direction of zone breaks
- Pullback Entries: Enter on pullbacks to broken zones (now support/resistance)
- Momentum Confirmation: Use momentum coloring to confirm trend strength
- Multiple Timeframe Alignment: Strongest trends when both timeframes agree
4. Scalping Applications
- Quick Bounces: Trade rapid moves between zone boundaries
- Momentum Signals: Enter when momentum colors appear
- Short-Term Targets: Use opposite zone as profit target
- Tight Stops: Place stops just outside current zone
Optimization Guide
1. Timeframe Selection
For Different Trading Styles:
- Scalping: 15m/1h - Quick levels, frequent updates
- Day Trading: 30m/4h - Balanced view, good for intraday moves
- Swing Trading: 4h/1D - Longer-term perspective, fewer false signals
- Position Trading: 1D/1W - Major structural levels
2. Chart Timeframe Considerations
**Important**: Your chart timeframe affects results
- Lower Chart TF: More granular level tracking, but may be noisy
- Higher Chart TF: Smoother levels, but may miss important price action
- Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe
3. Display Settings
- Busy Charts: Disable fills, show only key levels
- Clean Analysis: Enable all fills and momentum coloring
- Multi-Monitor Setup: Use different color schemes for easy identification
- Mobile Trading: Increase line width for visibility
Best Practices
1. Level Verification
- Always Cross-Check: Verify levels against actual higher timeframe charts
- Multiple Timeframes: Check 2-3 different chart timeframes for consistency
- Price Action Confirmation: Wait for candlestick confirmation at levels
- Volume Analysis: Combine with volume for stronger confirmation
2. Risk Management
- Stop Placement: Use zones rather than exact prices for stops
- Position Sizing: Reduce size when zones are narrow (higher risk)
- Multiple Targets: Scale out at different zone boundaries
- False Break Protection: Allow for minor zone penetrations
3. Signal Quality Assessment
- Momentum Colors: Higher probability when momentum coloring appears
- Zone Width: Wider zones often provide stronger support/resistance
- Historical Testing: Backtest on your preferred timeframe combinations
- Market Conditions: Adjust sensitivity based on volatility
Advanced Features
1. Momentum Detection System
The indicator tracks when levels change mid-period:
`pinescript
short_high_changed = short_high != short_high and not short_tf_start
`
This identifies:
- Active level testing
- Potential breakout situations
- Increased market volatility
- Trend acceleration points
2. Dynamic Color System
Complex conditional logic determines fill colors:
- Static Zones: Regular transparency for stable levels
- Active Zones: Enhanced colors for changing levels
- Mixed States: Different combinations based on user preferences
- Custom Overrides: User can prioritize certain color schemes
3. Zone Interaction Analysis
- Convergence: When short and long TF levels approach each other
- Divergence: When timeframes show conflicting levels
- Alignment: When both timeframes agree on direction
- Transition: When one timeframe changes while other remains static
Common Issues and Solutions
1. Inconsistent Levels
Problem: Levels look different on various chart timeframes
Solution: Always verify against actual higher timeframe charts
2. Missing Price Action
Problem: Important wicks or gaps not reflected in levels
Solution: Use chart timeframe closer to indicator's short timeframe setting
3. Too Many Signals
Problem: Excessive level changes and momentum alerts
Solution: Increase timeframe settings or reduce chart timeframe granularity
4. Lagging Signals
Problem: Levels seem to update too slowly
Solution: Decrease chart timeframe or use more sensitive timeframe combinations
Recommended Setups
Conservative Approach
- Timeframes: 4h/1D
- Chart: 1h
- Display: Show fills only, no momentum coloring
- Use: Swing trading, position management
Aggressive Approach
- Timeframes: 15m/1h
- Chart: 5m
- Display: All features enabled, momentum highlighting
- Use: Scalping, quick reversal trades
Balanced Approach
- Timeframes: 30m/4h
- Chart: 15m
- Display: Selective fills, momentum on key levels
- Use: Day trading, multi-session analysis
Final Notes
**Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts.
**Best Results When**:
- Combined with actual multi-timeframe analysis
- Used for confluence confirmation rather than primary signals
- Applied with proper risk management
- Verified against price action and volume
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
