Bardan Indicator 2.0 (Compact)Uses EMAs and SMAs anchored to both daily and weekly chart to determine bullish, bearish, or flat bias
移動平均線
EMA8/21+VWAP+MOM+ADX FilterEMA8/21 MTF Momentum-ADX Trade Assistant
This script is not a basic “EMA crossover” indicator. The goal is not just to flash a signal, but to provide an actual trade plan: entry, confirmation, stop, profit targets, and position management in one package.
1. Core Logic
The main trigger of the indicator is the EMA8 and EMA21 crossover:
When EMA8 crosses ABOVE EMA21 → potential LONG signal.
When EMA8 crosses BELOW EMA21 → potential EXIT / WEAKNESS signal.
This structure is designed to work on 30-minute and 60-minute charts.
Fast EMA: default 8
Slow EMA: default 21
Trend EMA: for 30m charts ~50–55, for 60m charts ~100 (this is adjustable via input)
2. Advanced confirmations for LONG entries
The LONG signal is not taken blindly at every crossover. It can be filtered (optionally) by several confirmation layers. All of these can be turned on/off from the inputs:
Momentum filter: Is price actually pushing, or did it just barely cross? A long is only confirmed if momentum is above a chosen threshold.
ADX / DMI filter: Is there real trend strength? The script can require ADX above a threshold and +DI > -DI (bullish directional bias). This helps avoid fake breakouts in choppy, sideways zones.
Relative Volume filter: Is there real participation behind the move? The script can require current volume to be at least X times the recent average volume (for example 1.5x the 20-bar average). This helps avoid signals that appear on “empty” volume.
Higher Timeframe Trend filter (MTF): Example: if you’re trading on the 30-minute chart, you can force longs to only trigger when the 60-minute trend is already bullish. This prevents going long against the dominant higher-timeframe direction. (On a 60m chart you might compare against 240m / 4h, etc.)
The purpose of these filters is:
→ When entering long, don’t just chase any crossover. Demand alignment in trend, strength, demand, and higher timeframe structure.
Note: These filters are independent. You are NOT forced to enable all of them at once. Different tickers behave differently. The user can decide which confirmations make sense for that specific instrument.
3. How does the SHORT/EXIT signal work?
The exit/weakness signal is intentionally kept simple:
When EMA8 crosses BELOW EMA21, the script immediately fires a signal.
No extra conditions (no momentum, no ADX, etc.).
You can treat this as “take profit / reduce risk / exit warning.”
Why is it designed like that?
When entering a position, you want to be very selective.
When protecting profit or cutting risk, you want to be fast, not slow.
So LONG entry is filtered and disciplined. EXIT warning is fast and blunt.
4. Trade management (automatic Stop / Targets / Trailing Stop)
When a confirmed LONG signal appears, the indicator does more than say “go long.” It also drafts a mini plan on the chart:
Entry: Uses the close of the signal candle as the assumed entry.
Stop: Default stop level is placed at (or near) the low of the signal candle.
TP1 (Partial Take Profit): A first target such as 1R (customizable). Think of this as partial take profit. When TP1 is reached, the label updates visually (e.g. “TP1 ✅”).
TP2 (Final target): A second target such as 2R (customizable). This is plotted separately with its own line and label.
Trailing Stop: While the position is “open,” the stop level can automatically trail upward as new higher lows form. The stop is never moved downward. You can turn trailing on/off.
All of these levels (Stop / TP1 / TP2) are drawn directly on the chart, with readable labels.
After an EXIT (bearish crossover) is triggered and the position is considered closed, those lines/labels are grayed out. Visually this makes it clear: “that trade is done.”
5. Position state tracking
The script internally tracks whether you are considered “in a position” or “flat”:
When a confirmed LONG triggers and you are not already in a position → it marks you as “in position.”
When an EXIT signal triggers → it marks you as flat / position closed.
While in position, it keeps updating Stop / TP levels and the trailing stop logic.
It will not spam repeated “long long long” signals every bar.
This makes the tool behave more like a lightweight trade assistant rather than a dumb arrow plotter.
6. How to actually use it
This tool does NOT force a single style. Instead, it gives you building blocks (filters and management rules) that you can mix depending on the instrument and market condition.
For example:
Profile A: Trend-Following / Swing-Style
ADX filter: ON
Higher Timeframe filter: ON
Momentum filter: ON
Relative Volume filter: optional
Larger R targets (TP2 ~2R or more), trailing stop ON
This profile is for cleaner, directional names that actually trend. You’re trying to ride continuation, not scalp noise.
Profile B: Intraday Momentum / One-Shot Burst
Momentum filter: ON
Relative Volume filter: ON (you want expansion in volume)
ADX filter: OFF (ADX often lags on the first impulse bar)
Higher Timeframe filter: can be looser if you’re just playing the spike
Focus on TP1 / fast partial exit more than holding forever
This profile tries to catch sharp breakouts that come with volume. You care about speed, not holding all day.
Profile C: Simple / Low-Stress Mode
Only Higher Timeframe filter: ON
Other filters: OFF
Idea: “I’ll only take longs if the bigger timeframe is already bullish. Otherwise I do nothing.”
This is useful when you don’t want to overthink. Fewer rules, less noise.
So in practice, instead of forcing the same confirmation stack on every ticker, you select the subset of filters that best fits how that ticker usually moves and how YOU want to trade it. That flexibility is intentional.
7. Time-of-day context
Signal quality is not only about technical conditions, it’s also about timing:
A “perfect” long setup in the first strong impulse of the session is not the same as a random crossover in low-liquidity midday chop.
Near the close, a signal might mean “carry this into the next session,” which is a different risk profile than a quick intraday scalp.
The script does not automatically block signals by session time, but you should treat early-session breakouts, midday noise, and late-session continuation differently in your decision-making. The filters (volume, higher timeframe alignment, ADX) help, but discretion about timing still matters.
8. Mental discipline
One very important workflow tip:
Before you take a trade, say (to yourself), which “profile” you are using.
For example:
“This is a Momentum Burst trade. I’m using volume + momentum. I only care about TP1. I’m not trying to swing this overnight.”
or
“This is a Trend-Follow trade. ADX is on, higher timeframe is aligned. I will trail this and aim for TP2.”
Why is this important?
It stops you from panicking mid-trade and changing your plan emotionally.
After 10–20 trades, you can review which profile actually performs for you. You’ll see which filters are truly adding edge, and which are just “comfort filters” that feel safe but don’t actually improve results.
That review is how this tool goes from “indicator” to “personal trading process.”
9. Disclaimer
This script is for educational and experimental trading workflow support.
It is NOT financial advice.
Trading involves significant risk. All decisions and outcomes are your own.
Do not use this live with real capital without forward testing and proper risk management.
Summary:
This script is not just an arrow that says “BUY/SELL.”
It’s a compact trade assistant built around the EMA8/21 structure.
It can:
filter long entries using momentum, ADX/DMI strength, higher timeframe alignment, and relative volume,
generate fast exit warnings on bearish cross,
automatically draw stop, TP1, TP2, and even trail the stop while the position is active,
and track whether you’re “in a trade” or flat.
You’re not forced into one rigid style. You choose which confirmation layers match the personality of the ticker you’re trading — and you get visual risk management on the chart.
EMA6 or SMA6 Touch AlertThis script monitors the market and notifies you whenever the price touches either the 6-period EMA or the 6-period SMA.
It helps identify potential pullbacks, reaction points, or entry zones, as price interaction with these moving averages often signals short-term market shifts.
What the script does:
Calculates the EMA 6 and SMA 6
Detects if price touches either moving average within the candle
Plots both lines on the chart for visibility
Allows you to set alerts to receive automatic notifications
Best suited for:
Scalping
Day Trading
Pullback Entries
Short-term trend reactions
Cyberbikes Adjustable 4x EMA + 4x SMAProbably the best EMA + SMA because you can choose the lenght of 8 different EMA and SMA.
By standard 9,21,80,200 EMA and SMA. Great for tradingview free users, many EMA and SMA in one indicator!
HEK Dynamic Price Channel StrategyHEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
(15M) Gold Daily Signal — Invite OnlyQuick Start
Symbol XAUUSD, timeframe 15m.
Defaults: TP 50 pips, SL 150 pips.
Wait for green (long) or red (short) background after bar close.
Place orders at the plotted Entry / TP / SL; optional scale-ins at E1/E2.
Max signals kept on chart – housekeeping only (limits old drawings).
Alerts
Turn Green → ready-to-buy signal.
Turn Red → ready-to-sell signal.
Create alerts once per bar close and keep the default message or customize.
Multi-MA Multi-TFMulti-MA Multi-TF Indicator
Visualize up to 8 customizable Moving Averages across multiple timeframes directly on your current chart. This indicator is designed to provide a comprehensive overview of trend dynamics without cluttering your workspace with numerous separate indicators.
Key Features:
Up to 8 Moving Averages: Configure each MA individually.
Flexible Configuration: For each MA, independently set:
Timeframe (5m, 15m, 1h, 4h, Daily, Weekly)
MA Type (SMA or EMA)
Length (Period)
Line Width
Color
Whether to plot the MA line
Whether to show the MA in the summary table
Whether to display its label
Informative Labels: Optional labels appear next to the MA lines, displaying:
MA identification (e.g., Daily EMA(9))
Current MA value
Optional percentage distance of the MA from the current price (+% if MA is above price, -% if MA is below).
Label Only Mode: Choose to display only the labels with short line segments, hiding the main MA lines for a cleaner look.
Summary Table: An optional table provides a quick overview of selected MAs:
Lists the MA name (Timeframe, Type, Length).
Shows the percentage distance from the current price, color-coded for clarity:
Green ▲: Price is currently above the MA.
Red ▼: Price is currently below the MA.
Select which MAs appear in the table via individual MA settings.
Position the table in any corner of the chart.
|Magical Trend Line with RSI & ADX|# 📊 Multi-Symbol RSI + ADX Trend Confirmation System
### Adaptive Multi-Layer Trend Analyzer with EMA Structure, RSI Momentum, ADX Strength & Table Dashboard
**Version:** 1.0 | **Language:** Pine Script v6 | **Author:** ask2maniish
---
## 🔍 Summary of the Script
This indicator combines **EMA trend structure**, **RSI**, and **ADX** to form a **multi-layered trend confirmation system** with rich visual cues and a live table dashboard.
---
## 🧭 1. Trend Direction System
Uses **EMA Fast**, **EMA Slow**, and **Main EMA (default 100-period)** to detect the current trend structure.
Classifies trends into 5 categories:
| Trend Type | Color | Description |
|-------------|--------|-------------|
| 🟢 Bright Green | Strong Bullish | Strong upside with momentum |
| 🟩 Green | Moderate Bullish | Controlled upward structure |
| ⚪ Gray | Sideways / Neutral | Low momentum or indecision |
| 🟧 Orange | Moderate Bearish | Controlled decline |
| 🔴 Red | Strong Bearish | Aggressive downward pressure |
---
## ⚙️ 2. RSI + ADX Momentum Filter
**RSI** detects momentum direction and exhaustion:
- RSI > 70 → Overbought (Potential reversal)
- RSI < 30 → Oversold (Potential reversal)
- RSI rising above 50 → Bullish momentum
- RSI falling below 50 → Bearish momentum
**ADX** identifies trend strength:
- ADX > 25 → Strong trend
- ADX < 25 → Weak / ranging market
✅ **Combined Logic:**
RSI defines direction, ADX confirms strength.
When both align with EMA structure, trend continuation probability increases.
---
## 📈 3. Multiple EMA Layers (7 Total)
Optionally visualize up to **7 EMAs (5, 8, 13, 21, 144-high, 144-close, 144-low)**.
Each EMA auto-colors using localized slope and RSI/ADX confluence logic.
Gives a clear view of **momentum stacking** and **trend maturity**.
---
## 📊 4. Trend Meter Table (HTF + LTF View)
A dynamic table provides both **current timeframe (LTF)** and **higher timeframe (HTF)** trend confirmation.
| Table Section | Description |
|----------------|-------------|
| **Current TF Trend** | EMA-based directional bias |
| **HTF Trend** | Optional higher timeframe confirmation |
| **RSI Status** | Momentum context |
| **ADX Strength** | Trend power |
| **Overall Bias** | Combined directional strength |
🧩 Example:
- ✅ Both LTF & HTF show Bullish → focus on longs.
- ❌ Both Bearish → focus on shorts.
- ⚪ Mixed → stand aside or scalp.
---
## 🎨 5. Background & Label System
- **Soft background shading** → shows live market bias.
- **On-chart labels** → display EMA trend, RSI/ADX values, and crossover events.
- **Color-coded EMA bands** → provide instant visual context.
---
## 🎯 How to Trade Using This Indicator
### 1️⃣ Identify Overall Market Context
Use the **Trend Meter Table** for directional bias.
- ✅ Bullish on both TFs → Focus on long setups.
- ❌ Bearish on both TFs → Focus on short setups.
- ⚪ Mixed signals → Wait for clarity or scalp only.
---
### 2️⃣ Entry Logic
**Long Setup**
- Main EMA color = 🟢 Green or Bright Green
- RSI rising above 50 (not yet overbought)
- ADX > threshold (e.g., 25)
- Price above both Fast & Slow EMA
**Short Setup**
- Main EMA color = 🟧 Orange or 🔴 Red
- RSI below 50 (not yet oversold)
- ADX > threshold
- Price below both Fast & Slow EMA
---
### 3️⃣ Exit / Reversal
- RSI enters overbought/oversold zone → take profit or tighten stop.
- Trend label shifts from “Strong” to “Moderate” → trend weakening.
- Candle closes below/above EMA cluster → exit signal.
---
### 4️⃣ Multi-Timeframe Confirmation
Always trade in the direction of **HTF bias**.
Example:
📍 On 15m → Confirm with 4H trend.
If 4H = “Strong Bullish”, only take long entries when local (15m) = bullish.
---
## ⚡ Tips
- Use with Smart Money Concepts or liquidity tools for added confluence.
- Works well for swing, intraday, and positional setups.
- Adjust RSI/ADX thresholds to match volatility regime.
---
## 📘 Disclaimer
This indicator is for **educational purposes** only and does not constitute financial advice.
Trade responsibly and use risk management at all times.
---
**© 2025 ask2maniish | Magical Trend Line with RSI & ADX**
Double Weighted Moving Average (DWMA)# DWMA: Double Weighted Moving Average
## Overview and Purpose
The Double Weighted Moving Average (DWMA) is a technical indicator that applies weighted averaging twice in sequence to create a smoother signal with enhanced noise reduction. Developed in the late 1990s as an evolution of traditional weighted moving averages, the DWMA was created by quantitative analysts seeking enhanced smoothing without the excessive lag typically associated with longer period averages. By applying a weighted moving average calculation to the results of an initial weighted moving average, DWMA achieves more effective filtering while preserving important trend characteristics.
## Core Concepts
* **Cascaded filtering:** DWMA applies weighted averaging twice in sequence for enhanced smoothing and superior noise reduction
* **Linear weighting:** Uses progressively increasing weights for more recent data in both calculation passes
* **Market application:** Particularly effective for trend following strategies where noise reduction is prioritized over rapid signal response
* **Timeframe flexibility:** Works across multiple timeframes but particularly valuable on daily and weekly charts for identifying significant trends
The core innovation of DWMA is its two-stage approach that creates more effective noise filtering while minimizing the additional lag typically associated with longer-period or higher-order filters. This sequential processing creates a more refined output that balances noise reduction and signal preservation better than simply increasing the length of a standard weighted moving average.
## Common Settings and Parameters
| Parameter | Default | Function | When to Adjust |
|-----------|---------|----------|---------------|
| Length | 14 | Controls the lookback period for both WMA calculations | Increase for smoother signals in volatile markets, decrease for more responsiveness |
| Source | close | Price data used for calculation | Consider using hlc3 for a more balanced price representation |
**Pro Tip:** For trend following, use a length of 10-14 with DWMA instead of a single WMA with double the period - this provides better smoothing with less lag than simply increasing the period of a standard WMA.
## Calculation and Mathematical Foundation
**Simplified explanation:**
DWMA first calculates a weighted moving average where recent prices have more importance than older prices. Then, it applies the same weighted calculation again to the results of the first calculation, creating a smoother line that reduces market noise more effectively.
**Technical formula:**
```
DWMA is calculated by applying WMA twice:
1. First WMA calculation:
WMA₁ = (P₁ × w₁ + P₂ × w₂ + ... + Pₙ × wₙ) / (w₁ + w₂ + ... + wₙ)
2. Second WMA calculation applied to WMA₁:
DWMA = (WMA₁₁ × w₁ + WMA₁₂ × w₂ + ... + WMA₁ₙ × wₙ) / (w₁ + w₂ + ... + wₙ)
```
Where:
- Linear weights: most recent value has weight = n, second most recent has weight = n-1, etc.
- n is the period length
- Sum of weights = n(n+1)/2
**O(1) Optimization - Inline Dual WMA Architecture:**
This implementation uses an advanced O(1) algorithm with two complete inline WMA calculations. Each WMA uses the dual running sums technique:
1. **First WMA (source → wma1)**:
- Maintains buffer1, sum1, weighted_sum1
- Recurrence: `W₁_new = W₁_old - S₁_old + (n × P_new)`
- Cached denominator norm1 after warmup
2. **Second WMA (wma1 → dwma)**:
- Maintains buffer2, sum2, weighted_sum2
- Recurrence: `W₂_new = W₂_old - S₂_old + (n × WMA₁_new)`
- Cached denominator norm2 after warmup
**Implementation details:**
- Both WMAs fully integrated inline (no helper functions)
- Each maintains independent state: buffers, sums, counters, norms
- Both warm up independently from bar 1
- Performance: ~16 operations per bar regardless of period (vs ~10,000 for naive O(n²) implementation)
**Why inline architecture:**
Unlike helper functions, the inline approach makes all state variables and calculations visible in a single scope, eliminating function call overhead and making the dual-pass nature explicit. This is ideal for educational purposes and when debugging complex cascaded filters.
> 🔍 **Technical Note:** The dual-pass O(1) approach creates a filter that effectively increases smoothing without the quadratic increase in computational cost. Original O(n²) implementations required ~10,000 operations for period=100; this optimized version requires only ~16 operations, achieving a 625x speedup while maintaining exact mathematical equivalence.
## Interpretation Details
DWMA can be used in various trading strategies:
* **Trend identification:** The direction of DWMA indicates the prevailing trend
* **Signal generation:** Crossovers between price and DWMA generate trade signals, though they occur later than with single WMA
* **Support/resistance levels:** DWMA can act as dynamic support during uptrends and resistance during downtrends
* **Trend strength assessment:** Distance between price and DWMA can indicate trend strength
* **Noise filtering:** Using DWMA to filter noisy price data before applying other indicators
## Limitations and Considerations
* **Market conditions:** Less effective in choppy, sideways markets where its lag becomes a disadvantage
* **Lag factor:** More lag than single WMA due to double calculation process
* **Initialization requirement:** Requires more data points for full calculation, showing more NA values at chart start
* **Short-term trading:** May miss short-term trading opportunities due to increased smoothing
* **Complementary tools:** Best used with momentum oscillators or volume indicators for confirmation
## References
* Jurik, M. "Double Weighted Moving Averages: Theory and Applications in Algorithmic Trading Systems", Jurik Research Papers, 2004
* Ehlers, J.F. "Cycle Analytics for Traders," Wiley, 2013
Weighted Moving Average (WMA)This implementation uses O(1) algorithm that eliminates the need to loop through all period values on each bar. It also generates valid WMA values from the first bar and is not returning NA when number of bars is less than period.
## Overview and Purpose
The Weighted Moving Average (WMA) is a technical indicator that applies progressively increasing weights to more recent price data. Emerging in the early 1950s during the formative years of technical analysis, WMA gained significant adoption among professional traders through the 1970s as computational methods became more accessible. The approach was formalized in Robert Colby's 1988 "Encyclopedia of Technical Market Indicators," establishing it as a staple in technical analysis software. Unlike the Simple Moving Average (SMA) which gives equal weight to all prices, WMA assigns greater importance to recent prices, creating a more responsive indicator that reacts faster to price changes while still providing effective noise filtering.
## Core Concepts
* **Linear weighting:** WMA applies progressively increasing weights to more recent price data, creating a recency bias that improves responsiveness
* **Market application:** Particularly effective for identifying trend changes earlier than SMA while maintaining better noise filtering than faster-responding averages like EMA
* **Timeframe flexibility:** Works effectively across all timeframes, with appropriate period adjustments for different trading horizons
The core innovation of WMA is its linear weighting scheme, which strikes a balance between the equal-weight approach of SMA and the exponential decay of EMA. This creates an intuitive and effective compromise that prioritizes recent data while maintaining a finite lookback period, making it particularly valuable for traders seeking to reduce lag without excessive sensitivity to price fluctuations.
## Common Settings and Parameters
| Parameter | Default | Function | When to Adjust |
|-----------|---------|----------|---------------|
| Length | 14 | Controls the lookback period | Increase for smoother signals in volatile markets, decrease for responsiveness |
| Source | close | Price data used for calculation | Consider using hlc3 for a more balanced price representation |
**Pro Tip:** For most trading applications, using a WMA with period N provides better responsiveness than an SMA with the same period, while generating fewer whipsaws than an EMA with comparable responsiveness.
## Calculation and Mathematical Foundation
**Simplified explanation:**
WMA calculates a weighted average of prices where the most recent price receives the highest weight, and each progressively older price receives one unit less weight. For example, in a 5-period WMA, the most recent price gets a weight of 5, the next most recent a weight of 4, and so on, with the oldest price getting a weight of 1.
**Technical formula:**
```
WMA = (P₁ × w₁ + P₂ × w₂ + ... + Pₙ × wₙ) / (w₁ + w₂ + ... + wₙ)
```
Where:
- Linear weights: most recent value has weight = n, second most recent has weight = n-1, etc.
- The sum of weights for a period n is calculated as: n(n+1)/2
- For example, for a 5-period WMA, the sum of weights is 5(5+1)/2 = 15
**O(1) Optimization - Dual Running Sums:**
The key insight is maintaining two running sums:
1. **Unweighted sum (S)**: Simple sum of all values in the window
2. **Weighted sum (W)**: Sum of all weighted values
The recurrence relation for a full window is:
```
W_new = W_old - S_old + (n × P_new)
```
This works because when all weights decrement by 1 (as the window slides), it's mathematically equivalent to subtracting the entire unweighted sum. The implementation:
- **During warmup**: Accumulates both sums as the window fills, computing denominator each bar
- **After warmup**: Uses cached denominator (constant at n(n+1)/2), updates both sums in constant time
- **Performance**: ~8 operations per bar regardless of period, vs ~100+ for naive O(n) implementation
> 🔍 **Technical Note:** Unlike EMA which theoretically considers all historical data (with diminishing influence), WMA has a finite memory, completely dropping prices that fall outside its lookback window. This creates a cleaner break from outdated market conditions. The O(1) optimization achieves 12-25x speedup over naive implementations while maintaining exact mathematical equivalence.
## Interpretation Details
WMA can be used in various trading strategies:
* **Trend identification:** The direction of WMA indicates the prevailing trend with greater responsiveness than SMA
* **Signal generation:** Crossovers between price and WMA generate trade signals earlier than with SMA
* **Support/resistance levels:** WMA can act as dynamic support during uptrends and resistance during downtrends
* **Moving average crossovers:** When a shorter-period WMA crosses above a longer-period WMA, it signals a potential uptrend (and vice versa)
* **Trend strength assessment:** Distance between price and WMA can indicate trend strength
## Limitations and Considerations
* **Market conditions:** Still suboptimal in highly volatile or sideways markets where enhanced responsiveness may generate false signals
* **Lag factor:** While less than SMA, still introduces some lag in signal generation
* **Abrupt window exit:** The oldest price suddenly drops out of calculation when leaving the window, potentially causing small jumps
* **Step changes:** Linear weighting creates discrete steps in influence rather than a smooth decay
* **Complementary tools:** Best used with volume indicators and momentum oscillators for confirmation
## References
* Colby, Robert W. "The Encyclopedia of Technical Market Indicators." McGraw-Hill, 2002
* Murphy, John J. "Technical Analysis of the Financial Markets." New York Institute of Finance, 1999
* Kaufman, Perry J. "Trading Systems and Methods." Wiley, 2013
Iriza4 -DAX EMA+HULL+ADX TP40 SL205 MIN SKALP. Additional filters improve accuracy: the strategy blocks trades after too many consecutive bullish or bearish candles (streak filter) and ignores signals when price is too far from the EMA (measured by ATR distance).
Each position uses a fixed risk-to-reward ratio of 1 : 2 with clear stop-loss and take-profit targets, without partial exits or breakevens. The goal is to identify clean pullbacks inside strong trends and filter out late or exhausted entries
Empire OS Trading Fully Automated Prop Firm Ready💎 Prop-Firm-Ready Momentum System v3 — The Gold-Mine Algorithm 💎
Engineered for the same standards that top prop firms demand — minimal drawdown, consistent equity growth, and precision-based execution. This isn’t a basic indicator; it’s a refined momentum engine built for traders who scale capital and manage risk like professionals.
Performance Snapshot
• Profit Factor 2.26 • Win Rate 33 % • Max Drawdown 0.9 % • Total P/L + $447 • W/L Ratio 4.6 : 1
Stress-tested on Gold (XAUUSD) across live-market conditions, it stays composed under volatility and delivers structured, data-driven consistency.
⚡ See it. Test it. Scale it.
Built for prop-firm precision — from $10 K to $300 K and beyond.
Simple Moving Average (SMA)## Overview and Purpose
The Simple Moving Average (SMA) is one of the most fundamental and widely used technical indicators in financial analysis. It calculates the arithmetic mean of a selected range of prices over a specified number of periods. Developed in the early days of technical analysis, the SMA provides traders with a straightforward method to identify trends by smoothing price data and filtering out short-term fluctuations. Due to its simplicity and effectiveness, it remains a cornerstone indicator that forms the basis for numerous other technical analysis tools.
## What’s Different in this Implementation
- **Constant streaming update:**
On each bar we:
1) subtract the value leaving the window,
2) add the new value,
3) divide by the number of valid samples (early) or by `period` (once full).
- **Deterministic lag, same as textbook SMA:**
Once full, lag is `(period - 1)/2` bars—identical to the classic SMA. You just **don’t lose the first `period-1` bars** to `na`.
- **Large windows without penalty:**
Complexity is constant per tick; memory is bounded by `period`. Very long SMAs stay cheap.
## Behavior on Early Bars
- **Bars < period:** returns the arithmetic mean of **available** samples.
Example (period = 10): bar #3 is the average of the first 3 inputs—not `na`.
- **Bars ≥ period:** behaves exactly like standard SMA over a fixed-length window.
> Implication: Crosses and signals can appear earlier than with `ta.sma()` because you’re not suppressing the first `period-1` bars.
## When to Prefer This
- Backtests needing early bars: You want signals and state from the very first bars.
- High-frequency or very long SMAs: O(1) updates avoid per-bar CPU spikes.
- Memory-tight scripts: Single circular buffer; no large temp arrays per tick.
## Caveats & Tips
Backtest comparability: If you previously relied on na gating from ta.sma(), add your own warm-up guard (e.g., only trade after bar_index >= period-1) for apples-to-apples.
Missing data: The function treats the current bar via nz(source); adjust if you need strict NA propagation.
Window semantics: After warm-up, results match the textbook SMA window; early bars are a partial-window mean by design.
## Math Notes
Running-sum update:
sum_t = sum_{t-1} - oldest + newest
SMA_t = sum_t / k where k = min(#valid_samples, period)
Lag (full window): (period - 1) / 2 bars.
## References
- Edwards & Magee, Technical Analysis of Stock Trends
- Murphy, Technical Analysis of the Financial Markets
RSI +WMA+ MA + Div SETUPRSI +WMA+ MA + Div SETUP
Индикатор объединяет анализ RSI, скользящих средних RSI (EMA/WMA), дивергенций, автоматические уровни поддержки/сопротивления на RSI, «лестницу цен» для целевых уровней RSI и фильтр тренда со старшего таймфрейма (HTF).
Точки входа формируются строго в месте пересечения RSI с заданным уровнем после выполнения выбранного сетапа. Поддержан режим «без повторов до смены направления».
Что показывает
Линии RSI, EMA(9) от RSI и WMA(45) от RSI.
Фон панели: бычий/медвежий/нейтральный режим импульса RSI (по соотношению EMA и WMA и наклону WMA).
Маркеры ▲/▼ — смена фазы импульса RSI (не торговые сигналы).
Дивергенции (регулярные): Bull/Bear с метками.
Auto SnR на RSI: динамические уровни поддержки/сопротивления по экстремумам RSI.
WMA SnR points: точки ретеста WMA на RSI.
Лестница цен: оценка цены, при которой RSI достигнет выбранных уровней.
HTF-линия: WMA(45) от RSI на старшем ТФ (по желанию).
Торговые сигналы (BUY/SELL)
Сигналы строятся в окне осциллятора RSI ровно в точке кросса:
BUY: (по выбранному сетапу) + пересечение RSI↑ заданного уровня (по умолчанию 40) + (опционально) выполнен HTF-фильтр.
SELL: (по выбранному сетапу) + пересечение RSI↓ заданного уровня (по умолчанию 60) + (опционально) выполнен HTF-фильтр.
Сетапы входа (переключатель)
Setup 1: Div + Cross — требуется подтверждённая дивергенция (Bull/Bear) и кросс RSI уровня в пределах заданного «окна» баров.
Setup 2: Cross only — только кросс RSI уровня, без требования дивергенции.
HTF-фильтр тренда
Расчёт WMA(45) от RSI на настраиваемом HTF (M, H1=60, H4=240, D и т. д.).
Разрешение Лонга, если HTF_WMA45 ≥ L-уровня (например, 50).
Разрешение Шорта, если HTF_WMA45 ≤ S-уровня.
Опция «Только после закрытия HTF-свечи» исключает перерисовку фильтра до закрытия старшего бара.
Основные настройки
RSI Length, Source.
EMA Length / WMA Length (для линий на RSI).
Визуальные уровни RSI (Up/Down) и подсветка фона.
Divergence: пороги показа (RSI ≤ X / ≥ Y), метки.
Price ladder: список целевых уровней RSI и «шаг» вывода цен.
Auto SnR: три окна lookback, цвета линий.
WMA SnR: чувствительность к ретестам WMA.
Entries: выбор сетапа, окно после дивергенции, уровни для Лонга/Шорта (по умолчанию 40/60), «ставить метку по фактическому RSI», без повторов.
HTF Filter: вкл/выкл, ТФ, уровни для Лонга/Шорта, «только по закрытию», показать HTF-линию.
Алерты
BUY: HTF ok + Setup OK + RSI cross up
SELL: HTF ok + Setup OK + RSI cross down
Сообщения алертов — константные строки (совместимы с Pine).
Перерисовка
Локальные сигналы ставятся на закрытии бара кросса RSI — не перерисовываются.
Дивергенции используют pivot-логику (подтверждаются через lookback) — метка появляется после подтверждения.
HTF-фильтр без перерисовки при включённой опции «Только после закрытия HTF-свечи».
Пример использования
H1 фильтр ≥ 50, M5 Setup 1: дождитесь Bull-дивергенции на M5, затем кросса RSI↑40 в течение N баров — получите BUY.
Для входов без дивергенций выберите Setup 2.
English Description
RSI +WMA+ MA + Div SETUP
All-in-one RSI toolkit: native RSI, RSI-based EMA/WMA, divergence detection, automatic RSI Support/Resistance, price ladder (target prices for chosen RSI levels), and a configurable Higher-Timeframe (HTF) trend filter.
Entry markers are printed exactly at the RSI level cross once the selected setup conditions are met. Includes a No-Repeat option to avoid duplicate signals.
Visuals
RSI, EMA(9) of RSI, WMA(45) of RSI.
Background shading for bull/bear/neutral RSI impulse phases (EMA vs WMA and WMA slope).
▲/▼ phase-change markers (context only, not trade signals).
Regular Bull/Bear divergences with optional labels.
Auto RSI SnR lines from RSI extremes.
WMA SnR points (RSI retests of WMA).
Price ladder: estimated price to reach given RSI levels.
Optional HTF line: WMA(45) of RSI calculated on a higher timeframe.
Trade Signals (BUY/SELL)
Signals plot in the RSI pane at the cross point:
BUY: selected setup satisfied + RSI crosses up the chosen level (default 40) + optional HTF filter passes.
SELL: selected setup satisfied + RSI crosses down the chosen level (default 60) + optional HTF filter passes.
Entry Setups (selector)
Setup 1: Div + Cross — requires a confirmed Bull/Bear divergence and an RSI level cross within a user-defined bar window.
Setup 2: Cross only — RSI level cross only (no divergence required).
HTF Trend Filter
Computes WMA(45) of RSI on a configurable higher timeframe (e.g., 60=H1, 240=H4, D, etc.).
Long allowed if HTF_WMA45 ≥ Long threshold (e.g., 50).
Short allowed if HTF_WMA45 ≤ Short threshold.
“Close-only” option ensures the HTF filter updates only after the HTF bar closes (no repaint).
Key Inputs
RSI length/source; EMA/WMA lengths.
Visual RSI up/down levels & background shading.
Divergence thresholds (RSI ≤ / ≥), labels.
Price ladder: target RSI levels & label spacing.
Auto SnR: three lookback windows, colors.
WMA SnR: retest sensitivity.
Entries: setup selector, divergence window, Long/Short levels (40/60 by default), “mark at actual RSI value”, no-repeat.
HTF Filter: enable, timeframe, Long/Short thresholds, close-only, show HTF line.
Alerts
BUY: HTF ok + Setup OK + RSI cross up
SELL: HTF ok + Setup OK + RSI cross down
Alert messages are constant strings (Pine-compatible).
Repaint Notes
LTF entry signals are placed at bar close when the cross occurs — no repaint.
Divergences rely on pivots; labels plot after confirmation.
HTF filter does not repaint when Close-only is enabled.
Example
H1 filter ≥ 50, M5 Setup 1: wait for a Bull divergence on M5 and an RSI cross up 40 within N bars — you’ll get a BUY.
Choose Setup 2 for cross-only entries.
ATR Money Line Bands V2The "ATR Money Line Bands V2" is a clever TradingView overlay designed for trend identification with volatility-aware bands, evolving from basic ATR envelopes.
Reasoning Behind Construction: The core idea is to blend a smoothed trend line with dynamic volatility bands for reliable signals in varying markets. The "Money Line" uses linear regression (ta.linreg) on closes over a length (default 16) instead of a moving average, as it fits data via least-squares for a cleaner, forward-projected trend without lag artifacts. ATR (default 12-period) powers the bands because it measures true range volatility better than std dev in gappy assets like crypto/stocks—bands offset from the Money Line by ATR * multiplier (default 1.5). A dynamic multiplier (boosts by ~33% on spikes > prior ATR * 1.3) prevents tight bands from false breakouts during surges. Trend detection checks slope against an ATR-scaled tolerance (default 0.15) to ignore noise, labeling bull/bear/neutral—avoiding whipsaws in flats.
Properties: It's an overlay with a colored Money Line (green bull, red bear, yellow neutral) and invisible bands (toggle to show gray lines) filled semi-transparently matching trend for visual pop. Dynamic adaptation makes bands widen/contract intelligently. An info table (positionable, e.g., top_right) displays real-time values: Money Line, bands, ATR, trend—great for quick scans. Limits history (2000 bars) and labels (500) for efficiency.
Tips for Usage: Apply to any timeframe/asset; defaults suit medium-term (e.g., daily stocks). Watch color flips: green for longs (enter on pullbacks to lower band), red for shorts (vice versa), yellow to sit out. Use bands as S/R—breakouts signal momentum, squeezes impending vol. Tweak length for sensitivity (shorter for intraday), multiplier for width (higher for trends), tolerance for fewer neutrals. Pair with volume/RSI for confirmation; backtest to optimize. In choppy markets, disable dynamic mult to avoid over-expansion. Overall, it's adaptive and visual—helps trend-follow without overcomplicating.
Eesan Day & Swing Trading Indicator🧭 Eesan Day & Swing Trading Indicator
🔍 Overview
The Eesan Day & Swing Trading Indicator is an all-in-one trend, momentum, and volatility tool designed for active traders who want clean, reliable signals for both day trading and swing trading.
It automatically detects buy and sell signals based on moving averages, RSI, and ATR — giving traders clear visual guidance on when to enter or exit trades.
⚙️ How It Works
This indicator combines three powerful concepts:
Trend Detection (EMA Crossovers)
Fast EMA (20) and Slow EMA (50) identify trend direction.
When the Fast EMA crosses above the Slow EMA → BUY Signal
When the Fast EMA crosses below the Slow EMA → SELL Signal
Momentum Confirmation (RSI Filter)
RSI ensures signals align with market momentum.
Avoids chasing overbought or oversold conditions.
Volatility Visualization (ATR Bands)
ATR Bands show potential price expansion zones.
Helps manage risk and visualize support/resistance.
🧠 Signal Logic
BUY → Fast EMA crosses above Slow EMA and RSI is below Overbought (70).
SELL → Fast EMA crosses below Slow EMA and RSI is above Oversold (30).
The background color changes with market trend:
🟩 Green = Bullish Trend
🟥 Red = Bearish Trend
📈 Visual Elements
Green & Red Triangles: Buy and Sell signal markers.
Colored EMAs: Reflect trend direction in real time.
ATR Bands: Show upper and lower price expansion zones.
Background Color: Indicates the dominant market trend.
⚡ Alerts
You’ll get alerts when:
✅ A BUY signal appears → “Eesan Indicator: BUY on @ ”
❌ A SELL signal appears → “Eesan Indicator: SELL on @ ”
Set alerts on the chart using “Condition → Eesan Day & Swing Trading Indicator → Buy Alert / Sell Alert.”
🧩 Best Used For
Intraday and Swing Trading
Stocks, Crypto, Forex, and Indexes
Works on all timeframes (15m, 1H, 4H, 1D recommended)
⚠️ Note
This tool is for educational and analytical purposes only.
Always confirm signals with your trading plan and proper risk management.
👤 Created by
Eesan — blending simplicity, clarity, and precision to empower traders.
EMA and SMI Long / Short SignalsDescription:
This indicator combines several proven market mechanisms into a clearly structured system suitable for both swing traders and trend followers.
It helps to better classify market phases, identify entry and exit signals, and objectively measure trend strength.
The foundation is the 21 EMA, around which an ATR channel is drawn. This shows whether the current price is overextended or underextended (similar to Bollinger Bands, but based on volatility).
In addition, SMI-based momentum signals, volume spikes, 52-week high/low levels, and Wyckoff climax events are visualized.
The goal: clear, technically grounded decisions on trend direction, momentum, and market extremes.
Disclaimer
The information and publications are not intended to constitute, and do not represent, financial, investment, trading, or any other form of advice or recommendation provided or endorsed by TradingView.
Please refer to the Terms of Use for more information.
Malama's MTF MA Alignment ScannerMalama's Multi-Timeframe Moving Average Alignment Scanner (MTF MA Scanner) is an overlay indicator designed to simplify trend analysis by evaluating the alignment of multiple moving averages (MAs) across user-defined timeframes. It scans for bullish (MAs stacked ascending), bearish (descending), or mixed/neutral configurations, incorporating a VWAP (Volume Weighted Average Price) filter to contextualize price position relative to volume-based equilibrium. The result is a compact dashboard table summarizing signals from up to three timeframes, helping traders spot confluence for entries or reversals without manually switching charts. This tool draws from classic MA ribbon concepts but adds flexible MA types, dynamic sorting, and an overall trend score for quicker multi-TF insights.
Core Mechanics
The indicator processes data in layers to detect alignment and bias:
Moving Average Calculation: Supports five customizable MAs per timeframe, with types including Simple (SMA), Exponential (EMA), Double Exponential (DEMA for reduced lag), Smoothed (SMMA), or Butterworth 2-Pole filter (a low-lag recursive smoother approximating Ehlers' design for cleaner signals). Defaults use EMAs at lengths 6, 9, 21, 56, and 200—shorter for fast trends, longer for structure. Users enable/disable each independently.
Alignment Detection: For enabled MAs, it dynamically sorts them by length (shortest first) and checks their relative order: All ascending (shortest MA > longest) signals "Bullish" (uptrend strength); all descending signals "Bearish" (downtrend); otherwise "Mixed" or "Neutral" (if <2 MAs). This avoids bias from unsorted plots.
VWAP Integration: Computes session-anchored VWAP (daily/weekly/monthly) as a volume-weighted mean, classifying price as "Above" (bullish bias) or "Below" (bearish) to filter alignments—e.g., bullish MA stack above VWAP strengthens longs.
Multi-Timeframe Aggregation: Pulls MA and VWAP data from up to three timeframes (e.g., current, 5m, 15m) using secure requests without lookahead bias. It consolidates into a table: Per-TF rows show alignment status (with icons: ✅ Bullish, ❌ Bearish, ⚠️ Mixed, ➖ Neutral), VWAP icon/status (📈 Above, 📉 Below), current price, and optional MA values (e.g., "9 EMA: 1.2345").
Overall Summary: Counts bullish/bearish TFs for a net score (e.g., 2/3 bullish = "Weak Bullish"), highlighting confluence in the final row.
This setup emphasizes regime detection: Aligned short-term MAs confirm momentum, while longer ones validate structure, all filtered by VWAP for volume context.
Why This Adds Value & Originality
Standard MA crossovers or ribbons often clutter charts or require manual TF switches, leading to analysis fatigue. Here, the mashup of diverse MA types (e.g., lag-reduced DEMA with smooth Butterworth) into a sortable alignment check creates a "trend thermometer" that's adaptable—e.g., EMAs for responsiveness in forex, SMAs for stocks. The VWAP layer adds a fair-value anchor absent in pure MA tools, while the dashboard condenses MTF data into one glanceable view with a net score, reducing cognitive load. It's not a simple merge: Dynamic UDT-based sorting ensures consistent evaluation regardless of user tweaks, and optional value display aids precise level targeting. This makes it uniquely practical for confluence trading, evolving basic alignment into a scannable system without repainting risks.
How to Use
Setup: Add to your chart (overlay=true). In inputs: Enable TFs (e.g., 1H for structure, 15m/5m for entries); customize MAs (e.g., switch to DEMA for volatile crypto); set VWAP anchor (Daily for intraday). Toggle table position/size and chart plots.
Interpret the Dashboard (top-right default):
Per-TF Rows: Green cells for Bullish (long bias); red for Bearish (short); orange for Mixed (caution); gray for Neutral/low data. Check VWAP for confirmation—e.g., Bullish + Above = strong buy setup.
MA Values Column (if enabled): Lists current levels (e.g., "21 EMA: 4500.50") for support/resistance pulls.
Overall Row: "Strong Bullish" (all green) for aggressive longs; "Weak" variants for scaled entries. Score like "2/3" shows TF agreement.
Trading Application: On a 1H chart, look for 3/3 Bullish with price above VWAP for longs—enter on pullback to shortest MA. Use alerts (e.g., "All Timeframes Bullish") for notifications. Best on liquid assets (e.g., EURUSD, SPX) across 15m-4H. Combine with price action for edges.
Customization Tips: Disable unused MAs to declutter; test Butterworth on noisy data for smoother aligns.
Limitations & Disclaimer
Alignments lag by MA lengths and TF resolutions, so they're directional filters—not precise entries (pair with candlesticks). VWAP resets on anchors, potentially skewing mid-session. In sideways markets, "Mixed" dominates—avoid forcing trades. No built-in risk management; backtest on your symbols (e.g., via Strategy Tester) to validate. Results use historical data without guarantees—markets evolve. Not financial advice; trade at your own risk. For feedback, comment publicly.1.1s
Advanced Order Blocks - Z-Score DetectionThis advanced Pine Script indicator identifies high-probability order blocks using statistical Z-score analysis combined with trend filtering.Key Features:
-Z-Score Detection: Identifies institutional order blocks by detecting abnormal price movements using statistical deviation analysis
-Smart Zone Mapping: Automatically draws and manages bullish/bearish order block zones with customizable colors and transparency
-EMA Trend Filter: 750-period EMA filter ensures signals align with the dominant trend (bullish signals above EMA, bearish below)
-Rejection Signals: Detects when price bounces off order block zones, indicating strong support/resistance
-Zone Management: Automatic zone extension, mitigation detection, and age-based expiration
-Overlap Prevention: Optional setting to avoid cluttered charts by preventing overlapping zones
-Fully Customizable: Adjustable Z-score threshold, lookback periods, colors, and rejection sensitivity
How It Works:
The indicator calculates the Z-score of price changes to identify impulse moves. When an abnormal move occurs (beyond the threshold), it marks the preceding consolidation zone as an order block where institutions likely placed their orders. The EMA filter ensures you only trade in the direction of the overall trend.Perfect for swing traders and institutional-style trading on any timeframe.
Adaptive Trend SelectorThe Adaptive Trend Selector is a comprehensive trend-following tool designed to automatically identify the optimal moving average crossover strategy. It features adjustable parameters and an integrated backtester that delivers institutional-grade insights into the recommended strategy. The model continuously adapts to new data in real time by evaluating multiple moving average combinations, determining the best performing lengths, and presenting the backtest results in a clear, color-coded table that benchmarks performance against the buy-and-hold strategy.
At its core, the model systematically backtests a wide range of moving average combinations to identify the configuration that maximizes the selected optimization metric. Users can choose to optimize for absolute returns or risk-adjusted returns using the Sharpe, Sortino, or Calmar ratios. Alternatively, users can enable manual optimization to test custom fast and slow moving average lengths and view the corresponding backtest results. The label displays the Compounded Annual Growth Rate (CAGR) of the strategy, with the buy-and-hold CAGR in parentheses for comparison. The table presents the backtest results based on the fast and slow lengths displayed at the top:
Sharpe = CAGR per unit of standard deviation.
Sortino = CAGR per unit of downside deviation.
Calmar = CAGR relative to maximum drawdown.
Max DD = Largest peak-to-trough decline in value.
Beta (β) = Return sensitivity relative to buy-and-hold.
Alpha (α) = Excess annualized risk-adjusted returns.
Win Rate = Ratio of profitable trades to total trades.
Profit Factor = Total gross profit per unit of losses.
Expectancy = Average expected return per trade.
Trades/Year = Average number of trades per year.
This indicator is designed with flexibility in mind, enabling users to specify the start date of the backtesting period and the preferred moving average strategy. Supported strategies include the Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), Weighted Moving Average (WMA), and Volume-Weighted Moving Average (VWMA). To minimize overfitting, users can define constraints such as a minimum and maximum number of trades per year, as well as an optional optimization margin that prioritizes longer, more robust combinations by requiring shorter-length strategies to exceed this threshold. The table follows an intuitive color logic that enables quick performance comparison against buy-and-hold (B&H):
Sharpe = Green indicates better than B&H, while red indicates worse.
Sortino = Green indicates better than B&H, while red indicates worse.
Calmar = Green indicates better than B&H, while red indicates worse.
Max DD = Green indicates better than B&H, while red indicates worse.
Beta (β) = Green indicates better than B&H, while red indicates worse.
Alpha (α) = Green indicates above 0%, while red indicates below 0%.
Win Rate = Green indicates above 50%, while red indicates below 50%.
Profit Factor = Green indicates above 2, while red indicates below 1.
Expectancy = Green indicates above 0%, while red indicates below 0%.
In summary, the Adaptive Trend Selector is a powerful tool designed to help investors make data-driven decisions when selecting moving average crossover strategies. By optimizing for risk-adjusted returns, investors can confidently identify the best lengths using institutional-grade metrics. While results are based on the selected historical period, users should be mindful of potential overfitting, as past results may not persist under future market conditions. Since the model recalibrates to incorporate new data, the recommended lengths may evolve over time.
