Aura Volume Delta Matrix [Pineify]Aura Volume Delta Matrix
This indicator measures the net demand pressure behind each bar by separating candle volume into buying and selling components, smoothing the difference, and plotting it as a gradient histogram against a signal line. Rather than treating volume as a single unsigned number, it asks: how much of this bar's volume was buying versus selling? The answer — volume delta — reveals whether the crowd was net accumulating or distributing, even when price barely moved.
Key Features
Candle-polarity volume split: full bar volume attributed to buyers when close > open, sellers when close < open, and split 50/50 on doji candles
Dual EMA smoothing pipeline — one pass to extract the trend from noisy raw delta, a second pass to generate a crossover signal line
Normalized gradient histogram: bar intensity scales to the 100-bar rolling maximum, so weak readings appear faint and strong readings appear saturated, giving an immediate visual sense of magnitude relative to recent history
Crossover signals that only fire when delta is already on the correct side of zero — filtering out shallow, mean-reverting crosses that would otherwise generate noise
How It Works
The calculation pipeline has three stages.
Volume attribution: Each bar's total volume is assigned to buyers or sellers based on candle polarity. A bullish close (close > open) attributes 100% to buyers; a bearish close (close < open) attributes 100% to sellers; equal open and close splits it evenly. This is a bar-level proxy for order flow — not tick-level CVD, but a reasonable approximation available on any timeframe without premium data.
Delta smoothing: Raw delta (bullVol − bearVol) is noisy on its own. A configurable EMA (default 14) removes single-bar spikes and reveals the directional bias over recent bars. This smoothed delta is what plots as the histogram.
Signal line: A second EMA (default 9) is applied to the smoothed delta. This behaves like the MACD signal line — when the histogram crosses above it while already positive, demand is re-accelerating from a bullish baseline; crossing below while negative signals the opposite.
The gradient coloring normalizes the histogram against its own 100-bar peak, so you can immediately tell whether current delta intensity is historically significant or just routine churn.
How the Components Work Together
The two-pass EMA structure is intentional. A single EMA of raw delta would react quickly but produce too many false crosses. By smoothing first and then deriving a signal from the smoothed output, the crossover logic only fires when momentum has already built enough to survive the first layer of filtering. The zero-side gate on signals adds a second filter: a bullish crossover below zero means demand is recovering within a still-bearish context, which is a weaker setup than a crossover that occurs while net buying is already dominant. Together these two conditions — crossover confirmed by zero-side context — push the signal rate down and focus it on higher-conviction shifts.
Trading Ideas and Insights
Use bullish crossovers (delta crosses above signal while delta > 0) as a candidate entry trigger on trending assets. Consider waiting for price to also be above a longer-period moving average before acting on the signal.
Divergence between price making a new high and delta making a lower high may indicate absorption — sellers stepping in at resistance without moving price yet. This is worth watching rather than acting on automatically.
On ranging markets, delta will oscillate around zero and the smoothing will compress toward the baseline. Low histogram intensity (faint gradient bars) visually signals low-conviction conditions where crossover signals are less reliable.
The signal line alert conditions can be used to push notifications when the crossover setup occurs, removing the need to watch the chart continuously. Still, confirm with price structure before entering.
As with any volume-based indicator, results vary by asset liquidity and data provider. Crypto and futures markets with transparent volume data tend to produce cleaner delta readings than instruments where reported volume is an estimate.
Unique Aspects
The gradient normalization against a rolling 100-bar peak is a visual improvement over fixed-scale histograms: it adapts to each instrument's typical volume range without manual scaling, making the chart readable across different assets.
The zero-side signal filter avoids a common problem in oscillator crossover systems — signals that fire during shallow pullbacks within a larger counter-trend, where the histogram is technically crossing but the broader context is unfavorable.
The doji split (50/50 at open = close) is a minor but honest edge case handling that most simplified volume delta scripts skip.
How to Use
Add the indicator to any chart. It works on all timeframes, though intraday timeframes tend to show more granular delta shifts.
Watch histogram color and intensity. Solid, saturated green bars suggest strong net buying relative to recent history; faint bars suggest low-conviction buying or a quiet session.
Look for crossovers of the orange signal line. Bullish: histogram rises through the signal line while above zero. Bearish: histogram falls below the signal while below zero. Half-crossovers (histogram crosses signal but is on the wrong side of zero) are filtered from alerts.
Set alerts via the indicator's alert conditions if you want to monitor for crossover setups without watching the chart.
Customization
Delta Smoothing Length (default: 14) — Controls how much the raw volume delta is smoothed before plotting. Higher values produce a slower, more stable histogram but introduce more lag. Lower values react faster and may show more noise.
Signal Line Length (default: 9) — The EMA length applied to the smoothed delta to create the crossover trigger. Shorter values generate more frequent signals; longer values are more selective.
Bullish / Bearish / Signal Colors — Fully customizable to match your chart theme or personal preference.
Conclusion
Aura Volume Delta Matrix translates raw bar volume into a directional demand measure, smooths it through a dual-EMA pipeline, and presents the result as a gradient histogram with a signal-line crossover system. It's most useful for traders who want a volume-based confirmation layer that isn't just "volume went up" but instead reflects which side of the trade had more participation. Pair it with price structure or trend context for best results — no volume indicator tells the full story on its own.
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EMA's [Ordinary Trader]EMAs by Plots two parallel stacks of three EMAs — one anchored to a Higher Timeframe of your choice, one following the chart's current timeframe. Built around the Ordinary Trader methodology, where the 15-minute 50 / 100 / 300 EMA stack acts as a higher-timeframe directional filter while trading on lower timeframes.
**WHAT YOU SEE ON THE CHART**
Six EMAs total, split into two groups:
- **HTF EMAs** — three EMAs locked to a higher timeframe of your choice (default 15-minute). They stay anchored to 15-minute data even when you drop the chart to 1m, 3m, or 5m. Drawn as **thick** lines.
- **LTF EMAs** — three EMAs that follow the chart's current timeframe (or any specific lower timeframe you pin them to). Drawn as **thin** lines.
Same colour for the same EMA length across both groups: 50 = sage green, 100 = terracotta orange, 300 = purple-grey. Thickness tells you which timeframe you're looking at; colour tells you which EMA length.
**HOW TO USE IT**
The default setup is the Ordinary Trader 15-minute filter: HTF set to 15-minute, LTF following the chart. Pull up a 1m, 3m, or 5m chart and you'll see both groups at once — the thick lines are your 15-minute anchor, the thin lines are your chart-timeframe stack for entries.
By default the 50 and 100 EMAs are on in both groups; the 300 EMA is off but available. Flip it on in the Settings panel if you want the full stack.
**AUTO-HIDE FOR THE LTF GROUP**
When your chart timeframe is equal to or higher than the HTF timeframe, the LTF group hides automatically. So on a 15-minute chart (with HTF still at 15-minute) only the HTF group shows — no point drawing the LTF stack on top of an identical HTF stack. Same on the 1-hour, daily, or higher.
**VISUAL SMOOTHING**
When a higher-timeframe EMA is plotted on a lower-timeframe chart, it naturally looks stepped — each new HTF bar updates the EMA in one chunk, so the line moves in jumps rather than smoothly. The Visual Smoothing option (on by default) applies a light smoothing pass so the line reads cleanly on lower-timeframe charts. It trades a tiny amount of lag for a cleaner look — turn it off if you'd rather see the raw, stepped HTF values.
**SETTINGS**
- **General** — LTF Timeframe, HTF Timeframe, Plot Style (Line / Stepline), Visual Smoothing on/off + length
- **HTF EMAs** — toggle, length, and price source for each of the three HTF EMAs
- **LTF EMAs** — toggle, length, and price source for each of the three LTF EMAs
**NOTES**
- Pairs naturally with the other Ordinary Trader-family indicators (STRATEGY, ZONES, KEY LEVELS, FVGs). مؤشر
EMA 9 + VWAP Strategy with ATR Trailing Stop - WIN THE TRADEEMA 9 + VWAP Strategy with ATR Trailing Stop
A simple trend-following strategy that combines the power of the 9 EMA , VWAP , and an ATR-based trailing stop for cleaner entries and dynamic trade management.
This strategy is designed for traders who want a straightforward system with minimal discretion and clear buy/sell conditions.
Strategy Logic
Buy Conditions
A long position is opened when the 9 EMA crosses above VWAP.
Sell Conditions
A short position is opened when the 9 EMA crosses below VWAP.
Trade Management
Uses an ATR trailing stop to automatically lock in profits and manage risk. The trailing stop dynamically adjusts based on market volatility.
Features
EMA + VWAP crossover entries
ATR-based trailing stop exits
Visual BUY/SELL labels
Dynamic trailing stop lines plotted on chart
Built-in alerts
Works well for scalping, intraday trading, and trend continuation setups
Best Markets
This strategy can be used on Forex, Gold (XAUUSD), Indices, Crypto, and Stocks.
Recommended Timeframes
Popular timeframes include 1 Minute, 5 Minute, 15 Minute, and 1 Hour.
Lower timeframes generally produce more signals, while higher timeframes can provide cleaner trends.
Inputs
ATR Length controls the ATR calculation period.
ATR Multiplier adjusts the trailing stop distance.
Increasing the ATR multiplier gives trades more room to breathe, while lowering it creates tighter exits.
Alerts
The script includes ready-to-use JSON webhook alerts for automation and bot integrations.
You can connect it to trading bots, Discord alerts, Telegram alerts, trade execution systems, and prop firm automation tools.
Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Always test and optimize settings before using on a live account.
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EMA Edge - Multi-EMA Backtest Table with Golden/Death CrossEMA Edge — Multi-EMA Backtest Table with Golden/Death Cross
A clean, all-in-one performance dashboard that backtests 6 long-only strategies side-by-side against a Buy & Hold benchmark — 5 single-EMA crossover strategies plus a classic Golden Cross / Death Cross strategy — with on-chart cross markers and built-in alerts.
Instead of guessing which EMA length works best for a given stock or timeframe, this indicator runs the math for you and shows the answer in a single glance, ranked against simply holding the asset.
What It Does
For each of 5 user-defined EMA lengths, the indicator simulates a simple long-only strategy:
Buy when price closes above the EMA (when flat)
Sell when price closes below the EMA (when long)
Equity starts at 100 and compounds across trades using the close-to-close return of each trade
A 6th strategy row tests the classic Golden/Death Cross:
Buy when the fast EMA crosses above the slow EMA (Golden Cross)
Sell when the fast EMA crosses below the slow EMA (Death Cross)
Special first-bar handling: if the fast EMA is already above the slow EMA at the start of your backtest window (i.e., we're mid-trend with no fresh Golden Cross to wait for), the strategy enters immediately at that bar's opening price. This avoids the unrealistic outcome of sitting in cash for years waiting for a cross that already happened.
All strategies are compared against a Buy & Hold baseline that starts at the close of the first in-range bar. If a position is open at the last bar, its equity is marked-to-market so every strategy is compared on equal terms — fully invested vs. partially invested at the cutoff.
Features
5 configurable EMAs — defaults 9 / 21 / 50 / 100 / 200, fully editable
Golden/Death Cross strategy — uses independent fast/slow EMA inputs (default 50 / 200)
Performance table showing Return %, delta vs. Buy & Hold, and Outperform / Underperform status per strategy
Flexible backtest window — X weeks, X years, or full chart lifetime
On-chart GC / DC markers with optional subtle background tint on cross bars
Built-in alerts for both Golden Cross and Death Cross events
Fully customizable table — 9 position options, 6 text sizes, all colors exposed as inputs
Soft, light color palette designed not to dominate the chart
Optional EMA plotting (off by default to keep the chart clean)
How To Read The Table
ColumnMeaningStrategyThe rule being testedReturnTotal % return of the strategy over the chosen windowVs StockDifference between the strategy's return and Buy & HoldStatus▲ Outperform if the strategy beat Buy & Hold, ▼ Underperform if not
Green-tinted rows = strategy beat Buy & Hold
Red-tinted rows = strategy underperformed Buy & Hold
Cream row = the Buy & Hold baseline itself
How To Use
Add the indicator to any chart — works on stocks, ETFs, crypto, forex, any timeframe.
Choose your backtest window (e.g., 1 Year, 5 Years, or Lifetime).
Scan the table to see which strategy historically beat Buy & Hold on this asset.
Use the on-chart GC / DC labels to spot historical and live cross events. Right-click any marker → Add Alert to be notified on new crosses.
Tip: Test the same EMA lengths across daily and weekly timeframes and across different assets. You'll usually find that what works on a steady index like SPY does not work on a volatile single stock, and vice versa. That's the entire point of the table — to make those differences visible instead of assumed.
Key Inputs
EMA 1–5: Lengths for the 5 single-EMA strategies
Show EMAs: Plot EMAs on chart (off by default)
Use Lifetime Performance: Backtest from the very first bar instead of a fixed window
Performance Timeframe Type / Value: Weeks or Years lookback
Crosses group: Toggle GC/DC display, set fast/slow EMA lengths, customize colors
Table Style group: Position, text size, background and text colors
Notes & Limitations
All strategies are long-only — no shorts, no leverage, no stops, no commissions, no slippage. This is a clean rule-based comparison, not a turnkey trading system. Live results will differ.
Entries and exits use close prices, except for the GC/DC strategy's first-bar entry when already in a golden state, which uses open.
Open positions at the last bar are marked-to-market so the comparison vs. Buy & Hold is apples-to-apples.
Past performance is not indicative of future results. Use this as a research and screening tool.
The GC/DC strategy uses separate EMA lengths from the 5 table EMAs by design, so you can run 9/21/50/100/200 in the table while still testing the classic 50/200 cross.
Alerts Available
Golden Cross: Fast EMA crossed above Slow EMA
Death Cross: Fast EMA crossed below Slow EMA
If you find this useful, a boost is appreciated. Suggestions and feedback welcome in the comments.
Open-source — feel free to study, fork, and adapt. مؤشر
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Multi-Timeframe MA Structure & RSI ConfluenceThis indicator combines multi-timeframe moving averages, RSI-based swing structure labels, and a compact RSI confluence panel into one chart overlay.
Features:
EMA/SMA 50 and 200 for 15m, 1h, 4h, Daily and Weekly timeframes
Optional automatic hiding of lower-timeframe MAs on higher-timeframe charts
EMA/SMA visual distinction using solid and dashed lines
RSI-based swing high/low labels: HH, HL, LH, LL
Developing swings marked with “?”
Structure-based label coloring: HH/HL green, LH/LL red
Regular bullish and bearish RSI divergence labels
Compact RSI panel showing RSI value, regime, momentum, RSI vs MA, recent MA cross and recent divergence
The indicator is designed as a visual market-structure and confluence tool. It does not generate buy or sell signals and should not be used as a standalone trading system.
The swing logic is inspired by RSI overbought/oversold cycle concepts originally published by BalintDavid. مؤشر
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Mean Reversion at or under 200MAThis strategy is based on the 30 minute of the S&P futures chart, MES
A Long Buy will be executed if, the EMA 9 or price comes down to or under the 200 MA, AND THEN the slope of the ema 9 subsequently changes from negative to positive.
The buy will be executed either; at a retest of the local lows (defined by the lowest wick between the most recent red candle that is subsequently followed by a green candle) (a retest is defined as 70% retrace from the local highs (inversely defined from local lows) to the local lows), or if a retest of the lows fails to occur, a market order will be executed at the local highs.
With a fixed position size of 10 contracts, the take profits will be established as such; 2 contracts sold up 6 points of profit, the next two will be sold up 10 points of profit, and the remaining 2 contracts will be sold for 20 points of profit. As soon as the first trim is made, a stop loss is placed at break even. Further, as soon as the second trim is made, the stop loss will be moved to +5 profit points.
In the instance that the ema 9 returns to downward sloping, stop orders will be executed. This will trigger sells either at local lows or local highs.
Kind of just made this for a class project, but the logic is sound, and the results are formidable thus far - enjoy :) استراتيجية
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Dual EMA ZloiVOVERVIEW
Dual EMA ZloiV is a trend‑following indicator based on two exponential moving averages that color both the EMAs and the ribbon between them according to the current market direction. It is designed as a clean trend filter that quickly highlights bullish, bearish, and neutral phases without additional oscillators or visual noise.
FEATURES
Two customizable EMAs (fast and slow) with separate length and color settings for uptrend and downtrend, so you can adapt the tool to any market or timeframe.
Dynamic color change of each EMA depending on its slope and relative position, making trend shifts visually obvious on the chart.
Optional ribbon between the EMAs that reflects the overall trend direction (bullish/bearish/neutral) and helps you see momentum transitions at a glance.
Minimalistic design focused purely on trend visualization, so you can use it as a universal building block on top of your own strategies, entries and exits.
HOW TO USE
Use Dual EMA ZloiV as your primary trend filter: trade in the direction of the ribbon and EMA colors, and avoid or size down trades that go against the current trend.
Shorter EMA lengths work better for scalping and intraday trading, while longer lengths are more suitable for swing and positional setups.
Combine the indicator with your preferred entry tools (RSI, Stoch RSI, price action patterns, volume, etc.): Dual EMA ZloiV defines the direction, and other tools fine‑tune entries and exits.
LIMITATIONS
This script does not generate trade signals or execute orders; it only visualizes trend conditions based on two EMAs.
In choppy or low‑volatility markets the EMAs can frequently change color, so consider adding a separate trend/volatility filter (e.g., ADX, ATR, volume) in your system to reduce whipsaws. مؤشر
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mbergeschI built this indicator to make my market read cleaner, faster, and more objective.
It brings together the main elements I use when analyzing momentum stocks:
• moving averages to understand trend and pace;
• benchmark comparison to see how the stock is performing against the market;
• relative strength to identify true leadership;
• tables with key information to support faster decision-making.
The goal is not to predict the future or automate the process. The goal is to reduce noise and make it easier to see when a stock is actually standing out.
For me, a good setup is not just price breaking out. It needs context: trend, relative strength, market comparison, structure, volume, and narrative.
This indicator was built around that idea: turning the chart into a cleaner and more practical decision-making dashboard for momentum trading.
Not financial advice. Just a tool for process, discipline, and better market reading.
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1M Scalping StrategyThis script is an educational Heikin Ashi and EMA study designed to help traders observe pullback/doji conditions and EMA reclaim behavior.
The script uses Heikin Ashi candle data together with a configurable EMA, defaulted to 100. It is designed mainly for short-term chart review and backtesting, especially on lower timeframes such as the 1-minute chart.
There are two main study conditions included:
1. HA Pullback Watch
The pullback watch condition looks for price location relative to the EMA and a specific Heikin Ashi candle sequence.
For a bullish pullback watch, the script looks for:
- Heikin Ashi price above the EMA
- Two red Heikin Ashi pullback candles
- The pullback candles having little to no upper wick
- A green doji-style Heikin Ashi candle forming after the pullback
For a bearish pullback watch, the script looks for:
- Heikin Ashi price below the EMA
- Two green Heikin Ashi pullback candles
- The pullback candles having little to no lower wick
- A red doji-style Heikin Ashi candle forming after the pullback
These conditions are marked as watch or confirmed conditions depending on whether the candle is still forming or has closed.
2. EMA Reclaim Watch
The EMA reclaim portion of the script looks for price moving from one side of the EMA to the other.
A bullish EMA reclaim condition happens when Heikin Ashi price was recently below the EMA, then pushes back above the EMA with a stronger green candle near the EMA area.
A bearish EMA reclaim condition happens when Heikin Ashi price was recently above the EMA, then pushes back below the EMA with a stronger red candle near the EMA area.
The script includes optional settings for:
- EMA length
- Doji body percentage
- Wick tolerance
- Strong candle body percentage
- EMA reclaim lookback
- EMA touch tolerance
- Volume filter
- Showing or hiding different study markers
The chart markers are intended to help users study possible pullback and EMA reclaim behavior. They are not financial advice, trade recommendations, or guaranteed buy/sell signals. Because the script uses Heikin Ashi data, users should be aware that Heikin Ashi candles are calculated candles and may not represent actual traded prices.
This script should be used for educational study, manual review, and backtesting only. Users should apply their own analysis, risk management, and confirmation before making any trading decisions. مؤشر
