paigep.llc - SuperMA
SuperMA is a multi-layered moving-average and candle-coloring system that combines SMA, EMA, and optional HMA logic to help traders visualize trend shifts, pullbacks, and momentum changes in a clean, structured way.
The script includes multiple modules: trend-based moving averages, pullback signals, exit logic, and an optional HMA cross engine.
📌 Core Features
1. Full SMA + EMA Framework
The indicator plots multiple moving averages (8, 9, 13, 20, 50, 200) using both SMA and EMA calculations. Each line automatically colors bullish or bearish based on its relationship to the 200-period baseline. Users can toggle SMAs and EMAs independently for clearer chart control.
2. Main Trend Entry & Exit Logic (8×200 and 8×20)
Built-in crossover logic detects:
Main Entry: SMA 8 crossing above/below EMA 200
Main Exit: SMA 8 and SMA 20 cross (with an option to choose which SMA is treated as the “fast” leg)
A “first exit only” option allows the script to ignore additional exit signals until a new trend regime begins.
3. Pullback Module (20 SMA Interaction)
Pullback entries and exits occur when price crosses the 20 SMA during existing trend conditions.
This includes:
Pullback entries through the 20 SMA
Pullback exits back across the 20 SMA
Labels and candle colors are available for all pullback events.
4. Optional HMA Cross Module
A separate module allows traders to use two Hull Moving Averages (HMA) with customizable:
Lengths
Independent timeframes
Line colors
Cross-based entries and exits
This module has its own events, labels, and optional candle coloring.
5. Advanced Candle Coloring System
Candle coloring is layered in priority order, based on:
Main trend entries
Main exits
HMA entries
HMA exits
Pullback entries
Pullback exits
Trend-only candles (based on SMA 8 relative to EMA 200)
Users may also independently color wicks and borders.
6. Configurable Alerts (Fully Decoupled from Visuals)
Alerts are available for all major events, including:
Main Entries (8×200)
Main Exits (8×20)
Pullback Entries and Exits
HMA Entries and Exits
Bull or Bear Trend candles
Any colored candle event
Alerts can fire on bar close only or intrabar, depending on user preference.
Use Cases
SuperMA helps traders visualize:
Trend direction using SMA/EMA structure
Momentum shifts through HMA crosses
Pullback zones around the 20 SMA
Early regime transitions based on the 8×200 relationship
Candle-level context through color-coded bars
The indicator works across all markets and timeframes.
⚠️ Note
This tool is for visual and analytical assistance only. It does not guarantee future performance and should be combined with additional analysis and risk management. Penunjuk
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Mambo MA & HAMambo MA & HA is a combined trend-view indicator that overlays Heikin Ashi direction markers and up to eight customizable moving averages on any chart.
The goal is to give a clear, uncluttered visual summary of short-term and long-term trend direction using both regular chart data and Heikin Ashi structure.
This indicator displays:
Heikin Ashi (HA) directional markers on the chart timeframe
Optional Heikin Ashi markers from a second, higher timeframe
Up to eight different moving averages (SMA, EMA, SMMA/RMA, WMA, VWMA)
Adjustable colors and transparency for visual layering
Offset controls for HA markers to prevent overlap with price candles
It is designed for visual clarity without altering the underlying price candles.
Heikin Ashi Direction Markers (Chart Timeframe)
The indicator generates HA OHLC values internally and compares the HA open and close:
Green (bullish) HA candle → triangle-up marker plotted above the bar
Red (bearish) HA candle → triangle-down marker plotted above the bar
The triangles use soft pastel colors for minimal obstruction:
Up marker: light green (rgb 204, 232, 204)
Down marker: light red (rgb 255, 204, 204)
The “HA Offset (chart TF ticks)” input lets users shift the triangle vertically in price terms to avoid overlapping the real candles or MAs.
Heikin Ashi Markers from a Second Timeframe
An optional second timeframe (default: 60m) shows additional HA direction:
Green HA (higher timeframe) → tiny triangle-up below the bar
Red HA (higher timeframe) → tiny triangle-down below the bar
This allows a trader to see higher-timeframe HA structure without switching charts.
The offset for the second timeframe is independent (“HA Offset (extra TF ticks)”).
Custom Moving Averages (Up to Eight)
The indicator includes eight individually configurable MAs, each with:
On/off visibility toggle
MA type
SMA
EMA
SMMA / RMA
WMA
VWMA
Source
Length
Color (with preset 70% transparency for visual stacking)
The default MA lengths are: 10, 20, 50, 100, 150, 200, 250, 300.
All MA colors are slightly transparent by design to avoid obscuring price bars and HA markers.
Purpose of the Indicator
This tool provides a simple combined view of:
Immediate trend direction (chart-TF HA markers)
Higher-timeframe HA trend bias (extra-TF markers)
Overall moving-average structure from short to very long periods
It is particularly useful for:
Monitoring trend continuation vs. reversal
Confirming entries with multi-TF Heikin Ashi direction
Identifying pullbacks relative to layered moving averages
Viewing trend context without switching timeframes
There are no signals, alerts, or strategy components.
It is strictly a visual trend-context tool.
Key Features Summary
Two-timeframe Heikin Ashi direction
Separate offsets for HA markers
Eight fully configurable MAs
Clean color scheme with low opacity
Non-intrusive overlays
Compatible with all markets and chart types Penunjuk
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HTF BIAS FILTER🧭HTF Bias Filter Indicator: 5 in 1 indicator
Technical Overview
The Bias Filter is a comprehensive multi-timeframe tool designed to confirm directional bias using five key indicators before entering a trade. It plots higher-timeframe Moving Averages directly on the chart and provides an immediate status summary via a static dashboard.
The more confluence on the dashboard, the greater the probability of the direction of the trade.
1. 📊 Display Components
A. Plotted Lines
The indicator uses the request.security function to draw Moving Averages from higher timeframes onto your current chart:
1H EMA 21 (Purple): The 21-period Exponential Moving Average calculated on the 1-Hour (60 min) chart. Plotted using a step-line style.
4H EMA 50 (Red): The 50-period Exponential Moving Average calculated on the 4-Hour (240 min) chart. Plotted using a step-line style.
B. Directional Dashboard
A fixed-position summary table is anchored to the bottom-right corner of the chart, providing a quick glance at the current status of all five filters.
2. 🎨 Colour Logic
Each of the five indicators is assigned a colour based on its current directional signal. The more indicators that show the same colour (confluence), the stronger the signal and the higher the likelihood of a high-probability trade.
🟢 Green indicators are signaling UP/BUY (Bullish momentum or trend).
🔴 Red indicators are signaling DOWN/SELL (Bearish momentum or trend).
⚫ Gray indicators are signaling Mixed or flat directions (neutral or undecided).
Note: The dashboard's main header color is determined by a strict confluence logic (All four 4H filters must align for Green/Red), while individual indicator colors follow the simple rules above.
3. 📋 Indicator Breakdown and Logic
The dashboard provides the direction of five different filters.
3.1. Higher-Timeframe (HTF) Trend Indicators
These two signals determine the immediate slope and direction of the primary Moving Averages:
4H EMA 50:
Timeframe: 4-Hour (240 min)
Logic: Compares the current EMA value to the value two bars ago on the 4H chart.
Output: UP ↑, DOWN ↓, or FLAT ⏸
1H EMA 21:
Timeframe: 1-Hour (60 min)
Logic: Compares the current EMA value to the value two bars ago on the 1H chart.
Output: UP ↑, DOWN ↓, or FLAT ⏸
3.2. 4-Hour Confluence Filters
These three indicators provide supplementary confirmation on Volume, Price Position, and Momentum, all calculated on the 4-Hour (240 min) chart:
4H OBV (Smoothed):
Timeframe: 4-Hour (240 min)
Logic: Direction is based on the current value of the 21-bar smoothed On-Balance Volume (OBV) compared to its value nine bars ago.
Output: UP ↑, DOWN ↓, or FLAT ⏸
4H ATR DIR (EMA Proxy):
Timeframe: 4-Hour (240 min)
Logic: Determines the price position by comparing the current Close price against the 4H EMA 50.
Output: BUY 🟢 (Close > EMA 50), SELL 🔴 (Close < EMA 50), or FLAT ⏸️ (Close = EMA 50).
4H RSI (14):
Timeframe: 4-Hour (240 min)
Logic: Momentum check comparing the 14-period Relative Strength Index (RSI) value against the 50 level.
Output: BUY 🟢 (RSI > 50), SELL 🔴 (RSI < 50), or FLAT ⏸️ (RSI = 50). Penunjuk
Vital Wave 20-50Simplicity is almost always the most effective approach, and here I’m giving you a trend-following system that exploits the bullish bias of traditional markets and their trending nature, with very basic rules.
Rules (long entries only)
• Market entry: When the EMA 20 crosses above the EMA 50 (from below)
• Main market exit: When the EMA 20 crosses below the EMA 50 (from above)
• Fixed Stop Loss: Placed at the price level of the Lower Bollinger Band at the moment the trade is entered.
In my strategy, the primary exit is when the EMA 20 crosses below the EMA 50. However, this crossover can sometimes take a while to occur, and in the meantime the price may have already dropped significantly. The Stop Loss based on the Lower Bollinger Band is designed to limit losses in case the market moves sharply against the position without giving the bearish crossover signal in time. Having two exit conditions makes the strategy much more robust in terms of risk management.
Risk Management:
• Initial capital: $10,000
• Position size: 10% of available capital per trade
• Commissions: 0.1% on traded volume
• Stop Loss: Based on the Lower Bollinger Band
• Take Profit / Exit: When EMA 20 crosses below EMA 50
Recommended Markets:
XAUUSD (OANDA) (Daily)
Period: January 3, 1833 – November 23, 2025
Total Profit & Loss: +$6,030.62 USD (+57.57%)
Maximum Drawdown: $541.53 USD (3.83%)
Total Trades: 136
Winning Trades (Win Rate): 36.03% (49/136)
Profit Factor: 2.483
XAUUSD (OANDA) (12-hour)
Period: March 19, 2006 – November 23, 2025
Total Profit & Loss: +$1,209.56 USD (+11.89%)
Maximum Drawdown: $384.58 USD (3.61%)
Total Trades: 97
Winning Trades (Win Rate): 35.05% (34/97)
Profit Factor: 1.676
XAUUSD (OANDA) (8-hour)
Period: March 19, 2006 – November 23, 2025
Total Profit & Loss: +$1,179.36 USD (+11.81%)
Maximum Drawdown: $246.88 USD (2.32%)
Total Trades: 147
Winning Trades (Win Rate): 31.97% (47/147)
Profit Factor: 1.626
Tesla (NASDAQ) (4-hour)
Period: June 29, 2010 – November 23, 2025
Total Profit & Loss (Absolute): +$11,687.90 USD (+116.88%)
Maximum Drawdown: $922.05 USD (6.50%)
Total Trades: 68
Winning Trades (Win Rate): 39.71% (27/68)
Profit Factor: 4.156
Tesla (NASDAQ) (3-hour)
Total Profit & Loss: +$11,522.33 USD (+115.22%)
Maximum Drawdown: $1,247.60 USD (8.80%)
Total Trades: 114
Winning Trades: 33.33% (38/114)
Profit Factor: 2.811
Additional Recommendations
(These assets have shown good trending behavior with the same strategy across multiple timeframes):
• NVDA (15 min, 30 min, 1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• NFLX (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• MA (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• META (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• AAPL (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily)
• SPY (12h, Daily)
About the Code
The user can modify:
• EMA periods (20 and 50 by default)
• Bollinger Bands length (20 periods)
• Standard deviation (2.0)
Visualization
• EMA 20: Blue line
• EMA 50: Red line
• Green background when EMA20 > EMA50 (bullish trend)
• Red background when EMA20 < EMA50 (bearish trend)
Important Note:
We can significantly increase the profit factor and overall profitability by risking a fixed percentage per trade instead of a fixed amount. This would prevent losses from fluctuating with changes in volatility.
This could be implemented by reducing position size or adjusting leverage based on the volatility percentage required for each trade, but I’m not sure if this is fully possible in Pine Script. In my other script, “ Golden Cross 50/200 EMA ,” I go deeper into this topic and provide examples.
I hope you enjoy this contribution. Best regards!
Strategi
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SMI Color Red/Green📌 TradingView Description – SMI Red/Green Momentum Line
🔥 Stochastics Momentum Index (SMI) – Dynamic Red/Green Version
This indicator is an enhanced and modernized version of the Stochastic Momentum Index (SMI), designed to deliver a more visual, intuitive, and responsive view of trend momentum.
It includes:
✔️ Smoothed SMI
✔️ Dynamic Red/Green momentum coloring
✔️ Signal EMA line
✔️ Overbought/Oversold zones with shading
🎨 Dynamic Red/Green SMI Line
The main SMI line automatically changes color based on momentum direction:
Green → Bullish momentum (SMI rising)
Red → Bearish momentum (SMI falling)
This provides instant visual feedback and highlights early momentum changes even before traditional signal-line crossovers.
📉 Indicator Structure
1️⃣ Smoothed SMI
The SMI is calculated using the price’s position inside its range and then smoothed with an SMA to reduce noise.
2️⃣ EMA Signal Line
A customizable EMA acts as a signal line, providing:
Clear bullish/bearish crossovers
Trend confirmation
Cleaner entry/exit signals
3️⃣ Overbought / Oversold Zones
Extreme levels are highlighted using color-filled zones:
Red Zone (Overbought) → potential bearish reversal
Green Zone (Oversold) → potential bullish reversal
Levels are fully adjustable.
💡 How to Use It
The indicator works exceptionally well across all timeframes.
The most powerful signals are:
✔️ SMI crossing above/below the EMA
SMI crosses above EMA → bullish signal
SMI crosses below EMA → bearish signal
✔️ Leaving Overbought/Oversold zones
SMI exits the oversold zone → potential long setup
SMI exits the overbought zone → potential short setup
✔️ Color shifts (momentum direction)
Red → Green : early bullish momentum
Green → Red : early bearish momentum
Perfect for scalping, day trading, and swing trading.
🚀 Why This Version Is Better
Extremely visual momentum reading
Noise reduction through smoothing
Instantly readable color-coded trend
Strong OB/OS zone visualization
Works on any market and timeframe
Great in combination with RSI, MACD, HMA, ALMA, and trend filters
If you'd like, I can also write:
🔹 a SEO-optimized title,
🔹 recommended TradingView tags,
🔹 or a shorter promotional description. Penunjuk
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Vortex Pro with Moving average [point algo]Vortex Pro with MA Dropdown is an enhanced version of the classic Vortex Indicator (VI), designed to help visualize directional strength by comparing positive and negative trend movement.
This version includes a smoothed “Vortex Pro” line, adjustable moving-average filtering, and dynamic zone coloring for improved readability.
How It Works:
The script calculates VI+ and VI− using directional movement and true range.
“Vortex Pro” is derived from the difference between VI+ and VI−, scaled for clarity.
A customizable moving average (EMA, SMA, HMA, WMA) is applied to help smooth volatility and highlight shifts in momentum.
Features :
• Vortex Pro Line
A scaled trend-strength line showing when positive movement is dominating or weakening.
• MA Type Dropdown
Choose between EMA, SMA, HMA, or WMA to smooth the Vortex Pro line.
• Zero-Line Structure
A plotted zero line is used to compare positive vs. negative strength visually.
• Dynamic Fill Zones
Green shading when the Vortex Pro line is above zero, red when below.
Usage:
This tool is designed for visual analysis of trend direction and momentum strength.
It does not generate buy/sell signals and should be used as part of a broader analysis approach.
Suitable for all timeframes and markets. Penunjuk
Trend-Adaptive 3-Band Reversal CloudThis indicator plots a trend-adaptive, volatility-based 3-band cloud on your chart to visually contextualize potential high-probability reversal, balance, and exhaustion price zones — all in strict alignment with TradingView’s house rules and best compliance practices.
How It Works
Trend Detection:
The script determines short-term trend direction using two adjustable EMAs (fast and slow). When the fast EMA is above the slow, the environment is classified as an uptrend; when below, as a downtrend.
Adaptive Bands and Clouds:
Around the dynamic trend baseline, three cloud “bands” are drawn using multiples of an ATR (Average True Range) volatility filter, automatically adjusting for evolving market conditions:
Middle Band (Fair Value Zone): Area around the baseline, where price is statistically balanced.
Upper Outer Band: In an uptrend, this shows a potential 'exhaustion/overextension' area; in a downtrend, it can act as a deep pullback or reversal area.
Lower Outer Band: In an uptrend, this highlights a possible 'deep pullback/reversal' area; in a downtrend, it becomes the potential exhaustion zone.
Contextual RSI Markers:
When price is in one of the outer bands and RSI is overbought (upper) or oversold (lower), a tiny diamond marker appears on that band as extra context — offering a visual cue for a possible high-momentum exhaustion or deep reversal zone, but never a trade signal or advice.
Visuals and Compliance:
All cloud regions use three different, semi-transparent colors for easy reading, and never block price action.
Labels indicate only “Possible Exhaustion,” “Deep Pullback Zone,” and “Balanced/Fair Value”—the language is strictly neutral and descriptive.
All calculations run only on confirmed, historical bars with zero repainting, no future bar lookahead, and no predictive overlays.
How to Use
Add to Chart:
Simply add the indicator to any chart and timeframe.
Configure:
Adjust the EMA, ATR, and RSI settings via the input panel to best fit your instrument and preferred sensitivity.
Choose band multipliers to widen or contract the cloud according to volatility or your system.
Toggle RSI marker/context highlighting as desired.
Interpretation:
Middle Cloud (“Balanced/Fair Value”): Price in this zone suggests mean reversion, equilibrium, or fair pricing for the session’s volatility/trend conditions.
Outer Clouds: If price reaches an outer cloud, pay attention for potential mean-reversion (if trend persists) or exhaustion zones (especially if a diamond appears).
Uptrend: Lower cloud is where larger pullbacks/reversals are often initiated; upper cloud indicates potential trend exhaustion.
Downtrend: Upper and lower clouds are reversed in interpretation.
Diamond Markers: A red diamond atop the upper band signifies RSI overbought; a lime diamond below the lower band shows RSI oversold. These do not recommend trading—only highlight increased likelihood that buyers/sellers may be overextended.
Best Practices:
Do not use the indicator in isolation or as a signal generator. Combine its context with price action confirmation, volume, or other non-repainting tools.
Use labels only for navigation/context, never as actionable advice.
Technical Details
Inputs/Customization: Fully adjustable (EMAs, ATR period, band multipliers, RSI thresholds, label/marker toggles).
Logic: All code processes only historical closed bars and overlays information in real time.
No repaint, strategy, or alerts: No signals, no script-driven trading, and no claims of prediction or guaranteed probability.
House-rule Clean: The script and its visuals are compliant with TradingView’s publishing requirements, both visually and textually.
Summary:
This tool is designed for traders who want to visually frame high-probability reversal, equilibrium, and exhaustion zones adaptively—while keeping price action primary and avoiding visual or conceptual clutter. Use it to better understand where price may statistically find resistance/support or revert, not to automate signals or guarantee outcomes Penunjuk
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate.
Below, I show you a simple bullish trend-following system with clear execution rules:
System Rules
-Long entries when the 50-period EMA crosses above the 200-period EMA.
-Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle.
-Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA.
Risk Management
-Initial capital: $10,000
-Position size: 10% of capital per trade
-Commissions: 0.1% per trade
Important Note:
In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility.
Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility.
For example, we can maintain a fixed loss percentage when volatility is low by using the following formula:
Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss
And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly.
Practical example:
Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%):
23.57% − 15% = 8.57%
Now suppose we normally use $200 per trade.
To calculate 8.57% of $200:
200 × (8.57 / 100) = $17.14
Then subtract that amount from the original position size:
$200 − $17.14 = $182.86
In summary:
If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings.
I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account.
About the code:
Strategy declaration:
The strategy is named 'Golden Cross 50/200 EMA'.
overlay=true means it will be drawn directly on the price chart.
initial_capital=10000 sets the initial capital to $10,000.
default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity.
margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required).
commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade.
Indicators:
Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200).
Crossover detection:
bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross).
bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross).
Recent swing:
swingLow calculates the lowest low of the previous 15 periods.
Stop Loss:
entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs.
Entry and exit conditions:
Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened.
Exit on opposite signal: When a bearCross occurs, the long position is closed.
Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed.
Visualization:
Both EMAs are plotted (50-period in blue, 200-period in red).
Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross.
A horizontal orange line is drawn that shows the stop loss level whenever a position is open.
Alerts:
Alerts are created for:Long entry
Exit on bearish crossover (Death Cross)
Exit triggered by stop loss
Favorable Conditions:
Tesla (45-minute timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $12,458.73 or +124.59%
Maximum drawdown: $1,210.40 or 8.29%
Total trades: 107
Winning trades: 27.10% (29/107)
Profit factor: 3.141
Tesla (1-hour timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $7,681.83 or +76.82%
Maximum drawdown: $993.36 or 7.30%
Total trades: 75
Winning trades: 29.33% (22/75)
Profit factor: 3.157
Netflix (45-minute timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,380.73 or +113.81%
Maximum drawdown: $699.45 or 5.98%
Total trades: 134
Winning trades: 36.57% (49/134)
Profit factor: 2.885
Netflix (1-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,689.05 or +116.89%
Maximum drawdown: $844.55 or 7.24%
Total trades: 107
Winning trades: 37.38% (40/107)
Profit factor: 2.915
Netflix (2-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $12,807.71 or +128.10%
Maximum drawdown: $866.52 or 6.03%
Total trades: 56
Winning trades: 41.07% (23/56)
Profit factor: 3.891
Meta (45-minute timeframe)
May 18, 2012 – November 17, 2025
Total net profit: $2,370.02 or +23.70%
Maximum drawdown: $365.27 or 3.50%
Total trades: 83
Winning trades: 31.33% (26/83)
Profit factor: 2.419
Apple (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,232.55 or +80.59%
Maximum drawdown: $581.11 or 3.16%
Total trades: 140
Winning trades: 34.29% (48/140)
Profit factor: 3.009
Apple (1-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $9,685.89 or +94.93%
Maximum drawdown: $374.69 or 2.26%
Total trades: 118
Winning trades: 35.59% (42/118)
Profit factor: 3.463
Apple (2-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,001.28 or +77.99%
Maximum drawdown: $755.84 or 7.56%
Total trades: 67
Winning trades: 41.79% (28/67)
Profit factor: 3.825
NVDA (15-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $11,828.56 or +118.29%
Maximum drawdown: $1,275.43 or 8.06%
Total trades: 466
Winning trades: 28.11% (131/466)
Profit factor: 2.033
NVDA (30-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $12,203.21 or +122.03%
Maximum drawdown: $1,661.86 or 10.35%
Total trades: 245
Winning trades: 28.98% (71/245)
Profit factor: 2.291
NVDA (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $16,793.48 or +167.93%
Maximum drawdown: $1,458.81 or 8.40%
Total trades: 172
Winning trades: 33.14% (57/172)
Profit factor: 2.927
Strategi
Advanced Intraday Darvas BoxThis indicator applies a modern Darvas Box strategy for intraday traders, using non-repainting pivot detection combined with strong filters to reduce chart noise:
Confirmed swing highs and lows: Boxes only form when genuine swing pivots appear, ensuring fully non-repainting signals.
Minimum box height: Small, "noise" boxes are filtered out using ATR multiples for meaningful zones.
Trend filter: Choose EMA, SMA, or VWAP to lock boxes and breakouts to market direction.
Volume confirmation: Boxes are only confirmed when volume is above a user-defined threshold, highlighting high-participation moves.
Breakout filter: Signals trigger only if the breakout candle closes substantially beyond the box, reducing false breakouts.
Limited box display: Recent boxes only, keeping your chart clean and readable.
Features & Inputs
Pivot sensitivity: Set the number of bars for swing calculation.
Box filtering: Specify the minimum ATR multiple for box size.
Trend selection: EMA, SMA, VWAP, or None.
Volume filter & threshold: Activate for greater breakout confidence.
Breakout/Breakdown strength: Set how far price must close beyond the box to signal power.
Maximum boxes: Control the number of active boxes to keep the chart clear.
How to Add and Use
Add to Chart:
Click the “Add to Favorite Scripts” star to mark this indicator.
Open your desired intraday chart (1m–30m works best).
Click “Indicators,” search for “Advanced Intraday Darvas Box,” and add to your chart.
Customize Inputs:
Use the settings gear ⚙️ to adjust pivot sensitivity, trend logic, box filtering, and volume confirmation.
Lower minimum box height or pivot length for more frequent signals. Raise them for sparser, higher conviction setups.
Reading Darvas Boxes:
Box Edges: Horizontal lines mark resistance (top) and support (bottom) of detected zones.
Shaded regions: Highlight the most relevant trading zones and where price could coil before breakout.
Breakout labels (↑/↓): These appear only when price makes a powerful, confirmed move beyond the box edge—aligned with trend.
Alerts: Turn on chart alerts using the “Strong Bullish Breakout” or “Strong Bearish Breakdown” alert conditions for automated signal monitoring.
Best Practices:
Use Darvas boxes to complement price action analysis. Combine with candlestick patterns, volume spikes, and other price structure.
Only trade strong breakout signals confirmed by volume and market direction.
Avoid excessive boxes—adjust "Max Boxes" and filters for your instrument and timeframe.
Important
This indicator is non-repainting and built for display clarity and clean signals.
No brokerage automation, no external linking, and pure price/volume logic—fully compliant with TradingView House Rules.
Always test settings and confirmations before using for live decision-making.
Penunjuk
