EMA MTF Trend Dashboard (Cross & Bias Modes)EMA MTF Trend Dashboard (Cross & Bias Modes)
A clean, multi-timeframe trend-alignment tool designed to support disciplined entries and higher-probability trades.
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🔍 What This Dashboard Does
The EMA MTF Trend Dashboard provides a clear, structured view of trend direction across seven key timeframes:
1m • 5m • 15m • 30m • 1H • 4H • Daily
It highlights your execution timeframe, displays EMA-based trend direction per timeframe, and produces a plain-English directional bias using either Single EMA mode or Dual EMA Cross mode.
This makes it useful for scalpers, intraday traders, swing traders, and anyone who wants clarity before executing a trade.
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🧠 How to Read the Dashboard
1. Execution Timeframe (Blue Row)
The blue row is your execution timeframe — the timeframe used to calculate the final bias.
• In Chart mode, it automatically matches your current chart timeframe.
• In Locked mode, it remains fixed, even if you switch to other chart timeframes.
This ensures consistency and removes any ambiguity before entering a trade.
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2. EMA Mode (Use Any Length You Like)
You’re free to choose any EMA lengths — the dashboard adapts to your strategy.
• Smaller EMAs (5–20):
React quickly and highlight short-term momentum changes or early trend shifts.
• Larger EMAs (50–200+):
Move more slowly and provide a smoother read of overall trend structure, filtering out low-timeframe noise.
This flexibility lets you tune the dashboard to your preferred approach — whether you want fast tactical signals or slower, more stable directional structure.
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3. Cross & Bias Modes
The dashboard supports two core engines:
✔ Single EMA Mode (Price vs EMA + ATR Neutral Buffer)
A trend-following model that avoids false signals when price is close to the EMA.
✔ Dual EMA Cross Mode (Fast vs Slow EMA)
A crossover-based trend engine ideal for traders who prefer structure shifts based on EMA alignment.
You can switch modes instantly from the settings.
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4. Bias (Plain-English Trend Assessment)
The bias row at the bottom shows the overall directional bias for the blue timeframe, calculated using weighted multi-timeframe logic:
• Strong Bull
• Bullish
• Neutral
• Bearish
• Strong Bear
This provides instant clarity on whether market conditions support (or conflict with) your trade idea.
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5. Trend Table (Heatmap View)
Each timeframe shows:
• ▲ Bullish
• ▼ Bearish
• – Neutral
Colour coded for clarity:
• Green = bullish
• Red = bearish
• Grey = neutral
• Blue = execution timeframe highlight
This creates a clean, at-a-glance trend heatmap.
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⚙️ Customisation Options
• Fully adjustable EMA lengths
• Single EMA mode (with ATR neutral zone)
• Dual EMA Cross mode (fast/slow)
• Selectable text colour (dark/light theme friendly)
• Execution timeframe mode: Chart or Locked
• Compact and visually clear table layout
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✔ Why This Tool Helps
This dashboard gives traders a structured, rule-aligned view of trend direction by:
• Keeping you aligned with broader multi-timeframe structure
• Reducing counter-trend mistakes
• Clarifying trend shifts and momentum changes
• Making decision-making faster and more consistent
• Supporting any systematic or rule-based trading plan
It is a decision-support tool, not a buy/sell signal — making it useful for all trading styles.
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📌 Notes for Users
• Non-repainting (uses confirmed closes)
• Works universally: Forex, crypto, indices, commodities
• Suitable for scalpers, day-traders, swing traders
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💬 Feedback & Future Enhancements
If you’d like to see additional timeframes, alternative trend engines, an ultra-compact mode, or alert integrations, feel free to request upgrades.
Moving Averages
Smart MA Crossover█ OVERVIEW
"Smart MA Crossover" is a technical analysis indicator designed to enhance the effectiveness of strategies based on MA crossovers, combining classic moving average crossovers with breakouts from boxes and dynamic trend visualizations. The indicator is fully customizable—you can freely adjust both parameters and graphical elements.
█ CONCEPTS
Trading approaches based solely on moving average crossover moments generate a large number of false signals. Smart MA Crossover was created to improve this statistic. That's why boxes are added, which are formed from the candle where the MA crossover occurred and generate signals only upon breakout from them. The boxes have bullish (green) and bearish (red) colors. By default, the show_only_matching filter is enabled, displaying entry signals only when the breakout direction matches the box color (e.g., only upward for a bullish box). Boxes are by default the size of the candle on which the crossover occurred, but their size can be adjusted to suit your strategy via an optional average candle size multiplier.
█ FEATURES
- Moving Averages: Two configurable MAs (fast_length, default 10; slow_length, default 30) with selectable type (SMA, EMA, WMA, HMA, VWMA). Optionally displayed with gradient fill between them (color depends on trend: green for uptrend, red for downtrend).
- MA Gradient and Candle Coloring: Enable gradient fill between MAs (transparency: gradient_opacity, default 85) and dynamic candle coloring based on trend (green/red).
- Fog Gradient Trend: Multi-layered gradient "fog" around hl2, consisting of 5 levels up and down, with offset based on average candle size (offset_mult, default 0.7) and increasing transparency (base_transp, default 80; transp_inc, default 4). Fog colors are dynamic (green/red).
- Breakout Boxes: Created at the moment of MA crossover, extending to the right. Box height optionally multiplied by average candle size (use_box_multiplier, box_multiplier, default 1.0). Boxes close and generate a signal when price breaks out beyond the top/bottom edge.
Signals:
- Triangles: Green downward triangles (buy breakout) below the bar, red upward triangles (sell breakout) above the bar—only on breakouts matching direction (if show_only_matching = true). When the matching filter is disabled, every box generates a signal based not on the MA crossover, but on the breakout direction.
- Labels: “BUY” (green, below bar) and “SELL” (red, iabove bar) with transparent background (transparency 40).
- Matching Filter: The show_only_matching option limits signals to breakouts consistent with box direction (bullish box → only buy, bearish → only sell).
- Visualization: Gradient MA lines, fill between MAs, multi-layered fog with increasing transparency, boxes with transparent background (85) and colored borders, dynamic trend colors.
- Alerts: Built-in alerts for BUY and SELL signals (with message including ticker and timeframe).
█ HOW TO USE
Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView.
Configure Settings:
- MA Settings: Adjust fast (fast_length, default 10) and slow (slow_length, default 30) MA lengths and type (ma_type, default SMA).
- Visualization: Enable/disable MA lines (show_ma_lines), MA gradient (use_gradient_ma), fog trend (show_fog), candle coloring (color_candles).
- Boxes and Breakouts: Enable candle size multiplier (use_box_multiplier) and set value (box_multiplier, default 1.0). Enable signal filter (show_only_matching).
- Signals: Choose type (signal_type): Triangles or Labels (Buy/Sell).
- Fog Trend: Adjust offset (offset_mult), base transparency (base_transp), and increment (transp_inc). Select trend colors (col_up, col_dn).
Signal Interpretation:
- Buy Signals: Green triangles below the bar or “BUY” label—on upward breakout from a bullish box (after bull cross).
- Sell Signals: Red triangles above the bar or “SELL” label—on downward breakout from a bearish box (after bear cross).
- Fog and Gradient: green fog/fill = uptrend; red = downtrend.
- Boxes: Active boxes indicate potential breakout zones; their closure confirms the move.
Signal Confirmation: Use with other tools, such as support/resistance levels, volume, or additional MAs to filter false crossovers.
█ APPLICATIONS
- MA Cross Strategies: Replace classic crossovers—boxes and breakouts eliminate many false signals, thereby increasing effectiveness. Confirm with other indicators, e.g., RSI, Fibonacci, FVG, pivot levels.
- Trend Following: Can be used as a classic trend indicator, especially with larger MA values.
█ NOTES
- Test the indicator across different timeframes and assets, adjusting MA lengths and box multiplier to market volatility.
- In consolidating markets, the indicator generates more false signals.
NQ Scalping WMAThis indicator plots two Weighted Moving Averages (WMAs) derived from the high and close to visualize short-term momentum extremes on NQ (Nasdaq futures). I built it for myself for scalping reversals on the 1-minute timeframe.
The area between the upper WMA (“Top-Source”) and lower WMA (“Bot-Source”) is filled with contextual color: green when price is above the top WMA, red when price is below the bottom WMA, and neutral gray otherwise. This makes it easy to spot overextensions, potential snap-back zones, and quick mean-reversion opportunities. Inputs include WMA length, line color, and separate sources for top/bottom WMAs, allowing fast tuning for changing intraday volatility.
The original code I used to make this is from PlayBit EMA by FFriZz
10 - EMA - Exponential Moving Averages - emaThese are the EMAs 10 in one, can be adjusted to your needs
Multi Rolling VWAPMulti Rolling VWAP Indicator
Displays 4 volume-weighted average price (VWAP) levels on your chart:
7D VWAP - Weekly rolling average
30D VWAP - Monthly rolling average
90D VWAP - Quarterly rolling average
365D VWAP - Yearly rolling average
Each VWAP shows where the average price is, weighted by volume. Institutional traders often use these levels as support/resistance.
Optional Features:
Bands show volatility zones (Value Area High/Low)
Anchor modes: Reset weekly, monthly, quarterly, or yearly instead of rolling
Crypto volume aggregation from 15+ exchanges for accurate calculations
Clean, minimal design for white background charts.
369 Energy Flow – GOLD & FOREXTesla-Inspired 3-6-9 Breakout System
Harness the hidden rhythm of the market with 369 Energy Flow, a precision indicator that maps 3:00, 6:00, and 9:00 price levels across UTC or EST, capturing the exact high and low of each sacred node.
Core Features:
• 369 Grid – Auto-detected 3-6-9 hourly levels with clean, color-coded lines (purple, orange, red)
• Vortex Math Filter – Only triggers when candle range reduces to 3, 6, or 9 (true harmonic resonance)
• Confluence Engine (C3–C18) – Scores price interaction with 369 levels:
C3 = single touch • C9 = 9-level break • C18 = full 3-6-9 alignment
• 22 EMA Equilibrium – Price must close above (long) or below (short) the 22-period EMA
• Previous Day Bias – Filters entries with yesterday’s open/close direction
• Smart Alerts – “369 LONG @ 4205.4 | Conf: 12” with exact price and confluence
Signal Logic (Mechanical):
LONG → Bull day + Close > 22 EMA + C≥6 + Vortex ON + Break above highest 369 high
SHORT → Bear day + Close < 22 EMA + C≥6 + Vortex ON + Break below lowest 369 low
Bar RangeI use this to complement the daily ATR bars. It is interesting to see how much the stock has actually moved vs the ATR movement.
QED_MAX_MIN (COM)-The yellow diamond and blue star are strong "Long" signals when the QED_MAX_MIN indicator's pink line crosses below 10.
-The pink star and yellow star are strong "short" signals when the QED_MAX_MIN indicator(NOT STUPID RSI) is above 90.
-The oversold (exclamation mark) signal indicates that a strong upward or downward trend could be imminent.
SUBSCRIPTION IS NEEDEED.
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when pink line hits the bottom (close to 0). go for long. same as the short (opposite way)
DO NOT ENTER WHEN PINK LINE IS IN THE MIDDLE (close to YELLOW LINE). That's not the bottom or top you are looking for.
imgur.com/a/VyIHhQq
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-노란색 다이아몬드와 파란색 별은 "Long" 시그널로 QED_MAX_MIN 핑크색 라인이 하단 10을 통과할때 강력합니다.
-핑크색과 노란색 별은 "short"시그널로 QED_MAX_MIN90이상일때 강력합니다.
-과매도(느낌표) 시그널은 곧 상승/하락의 추세가 될 수 있음을 의미합니다.
Liquidity Sweeps 2.0 – MGTrading Professional Liquidity Sweep Engine with Volume, MACD, Trend, SMT Divergence & Rolling VWAP
Liquidity Sweeps 2.0 is a **complete precision-based liquidity detection framework** built for traders who follow smart money concepts, sweep-based entries, and algorithmic price behavior.
This tool detects **high-probability buy/sell sweeps**, confirms them with market structure, Volume, MACD engine, Trend filtering, SMT divergence, and overlays a Rolling VWAP to track accumulation & distribution behavior.
It is designed for futures, indices, forex, crypto, and options traders.
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🔥 **MAIN FEATURES**
✅ **1. True Liquidity Sweep Detection**
Automatically detects when price:
* Sweeps a prior high (Sell Sweep)
* Sweeps a prior low (Buy Sweep)
* Rejects and closes back inside the previous range
This helps identify real **stop hunts**, **liquidity grabs**, and **reversal moments**.
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✅ **2. Volume Spike Confirmation (Smart Filter) **
Sweeps are only confirmed when volume exceeds the dynamic SMA threshold.
This filters out weak sweeps and keeps only **high-quality liquidity grabs**.
✅ **3. MACD Engine Confirmation**
Advanced MACD rules confirm sweeps by:
* MACD direction
* MACD signal agreement
* MACD histogram alignment
This dramatically increases accuracy and removes fake sweeps that occur in weak trends.
Optional **MACD Divergence Detection** reveals trend exhaustion before major reversals.
✅ **4. EMA Trend Filter (9/21) **
Avoid fighting the trend with the optional trend filter:
* Only buy sweeps in uptrend
* Only sell sweeps in downtrend
Great for scalpers and day traders who want trend alignment.
✅ **5. SMT Divergence (Relative Strength vs Reference Symbol) **
Enable SMT to detect when:
* Your chart sweeps a high/low
* But the reference symbol DOES NOT
This creates **displacement**, a powerful reversal signal used by institutional traders.
The symbol is selectable (ES, NQ, SPY, QQQ, BTC.D, DXY, etc.).
✅ **6. Rolling VWAP (RVWAP)**
A more dynamic version of VWAP using:
* Time-based rolling windows
* Volume-weighted price
* Automatic or adjustable window size
* Color change based on slope
Excellent for tracking **accumulation**, **distribution**, and **algorithmic trend bias**.
✅ **7. Clean Mode**
Only show “confirmed” sweeps with a ✓
Ideal for traders who want a simple and clean chart.
# 📊 **LABELS & COLOR CODING**
* 🟥 **Sweep Sell**
* 🟩 **Sweep Buy**
* 🟧 **MACD Bearish Divergence**
* 🟩 **MACD Bullish Divergence**
* 🟦/🟧 **RVWAP Up/Down Trend**
* “✓” means the sweep passed all confirmations.
# 🎯 **WHO IS THIS FOR?**
✔ Futures Traders (ES, NQ, YM, RTY, CL, GC)
✔ Options Traders (SPX, SPY, QQQ)
✔ Forex Traders
✔ Crypto Traders
✔ Smart Money / ICT Style Traders
✔ Liquidity Sweep Traders
✔ Scalpers, Day Traders, Swing Traders
If you trade **liquidity**, **sweeps**, **SMT**, **divergence**, or **VWAP-based behavior**, this indicator is designed for you.
# 🧠 **HOW TO USE IT**
1. Wait for a sweep label to appear at a liquidity pool.
2. Confirm with volume + MACD + trend (if enabled).
3. Watch RVWAP for bias (accumulation vs distribution).
4. Enter on the imbalance/FVG, retrace, or structure break.
5. Use SMT divergence as a premium confirmation.
This tool does NOT repaint after the bar closes.
Signals only appear when conditions are confirmed.
# 📦 **SETTINGS OVERVIEW**
* Lookback window for sweeps: (7 - 13)
* Volume spike threshold
* MACD lengths & filters
* Trend filter (EMA 9/21)
* SMT reference symbol
* RVWAP window + colors
RVWAP Line Width: (2) & Minimum Window Bars: (5)
* Label placement & visual adjustments
* Clean mode
Everything is fully customizable.
⚠️ **DISCLAIMER**
This indicator is for educational purposes only.
It does not guarantee profits.
Always backtest, practice proper risk management, and trade responsibly.
❤️ **If this helped you, leave a like & comment! **
Your support motivates further updates, improvements, and new tools.
Dual TF VWAP + ATR BandsDual TF VWAP + EMA (3×3 Outer Shells)
A precision volatility framework combining institutional VWAP structure with trend-anchored EMA logic.
🔍 Overview
Dual TF VWAP + EMA is a multi-layer trend and volatility system designed for traders who want clean directional context, controlled volatility boundaries, and a reliable method to spot pivots, expansions, compressions, and exhaustion points across any timeframe.
This tool blends:
Higher-Timeframe VWAP (50-period rolling)
Local EMA Midline (configurable)
3×3 ATR Outer Shells
Directional Color Coding
Signal-Ready Interaction Zones
Unlike traditional Bollinger Bands, Keltner channels, or static envelopes, this indicator adapts dynamically with both price and volume, giving deeper insight into how institutions accumulate, distribute, or expand trends.
🎯 What It Shows
1. Higher-Timeframe VWAP Midline
A 50-period Rolling VWAP that reflects where real volume-weighted control sits.
Perfect for reading:
Institutional trend bias
Value area reclaims
High-confidence mean reversions
High-probability trend continuations
2. Local EMA Trendline (Configurable)
A flexible EMA that acts as your local “risk-on/off” trend gauge.
You can use:
12 EMA for aggression
20 EMA for balanced trending
50 EMA for slower institutional rhythm
This EMA + VWAP pairing creates a powerful trend confirmation system.
3. Outer ATR Shells (U1–U3 / L1–L3)
Three upper and three lower ATR-based shells form a volatility map showing:
U1/L1: First reaction zones
U2/L2: Overextension zones
U3/L3: Exhaustion / blow-off tops / panic bottoms
The 3×3 shells tell you instantly whether price is:
Expanding
Compressing
Overextended
Reversing
Trending cleanly
📘 How To Use It — Practical Trading Logic
1. Trend Confirmation
Bullish: Price above VWAP + EMA rising + 12 EMA above U1
Bearish: Price below VWAP + EMA falling + 12 EMA under L1
2. Reversals
U3/L3 taps signal exhaustion
EMA rejection at U1/U2 confirms fading momentum
VWAP reclaim confirms the reversal
Trend resumes once EMA crosses back above/below VWAP
3. Momentum Acceleration
When price floats above the EMA without touching it and rides between:
EMA → U1 → U2
trend acceleration is underway (trip-wire continuation signal).
4. Safe Entries
EMA reclaim
VWAP reclaim after sweep
EMA → VWAP “compression and release”
Price floating above EMA with U1 break
5. Safe Exits
U2/U3 spikes
EMA flattening
EMA cross back under VWAP
Shell compression before trend shift
---Why This Tool Works---
Traditional bands are one-dimensional:
They react to price only.
This tool uses price + volatility + volume, so it shows:
Real trend strength
Institutional control zones
High-probability reversal points
Low-risk entry pockets
It performs exceptionally well across:
SPY / QQQ
Tech momentum
Small caps
Crypto
High-beta growth names
Summary
Dual TF VWAP + EMA (3×3 Outer Shells) is built for traders who want:
Clear trend direction
Accurate expansion/reversal signals
Dynamic institutional value zones
Multi-timeframe confidence
Clean volatility boundaries
A powerful companion for confirmation systems, breakout strategies, and liquidity-based execution.
300/200 EMA Spread HeatmapHighlights the difference between 300 and 200 EMA to indicated potential over extensions in breakout structures.
Range Oascilator + LessDivergences + MACD+StochRSIRange Oscillator + EMA Filter
Calculates a custom oscillator based on the highest high and lowest low over a chosen period.
Generates BUY signals when the oscillator crosses up from the oversold zone and price is above the EMA.
Generates SELL signals when the oscillator crosses down from the overbought zone and price is below the EMA.
MACD (3‑10‑16 EMA Settings)
Uses fast EMA = 3, slow EMA = 10, signal EMA = 16.
Detects bullish and bearish crossovers.
These crossovers only trigger a single unified buy/sell signal if they coincide with Stochastic RSI being in oversold (for buy) or overbought (for sell) zones.
Stochastic RSI
Standard calculation with %K and %D smoothing.
Defines oversold (<20) and overbought (>80) zones.
Used both for divergence detection and as a filter for MACD signals.
Divergence Detection
RSI Divergence: Price makes a lower low but RSI makes a higher low (bullish), or price makes a higher high but RSI makes a lower high (bearish).
MACD Histogram Divergence: Price makes a lower low but MACD histogram makes a higher low (bullish), or price makes a higher high but MACD histogram makes a lower high (bearish).
Stochastic RSI Divergence: Similar logic applied to %K line.
Divergences are flagged only once per pivot to avoid repetitive signals.
Visuals
EMA plotted on chart.
BUY/SELL signals shown as triangles above/below bars.
Divergences shown as labels (e.g., “RSI BullDiv”, “MACD BearDiv”).
Unified MACD+Stoch RSI signals shown in distinct colors (lime for buy, orange for sell).
CryptoSmart Octa-MA TrendCryptoSmart Octa-MA Trend: Detailed Indicator Description
1. Core Concept
The "CryptoSmart Octa-MA Trend" is a comprehensive, multi-layered trend visualization tool. Its primary function is to display an 8-line moving average (MA) ribbon while simultaneously coloring the main chart's candles to reflect the price's position relative to one single, user-selected "base" MA.
This dual-function system allows you to:
Instantly identify the primary trend regime (bullish or bearish) via the candle colors.
Analyze the market structure (support, resistance, momentum) using the 8-line MA ribbon.
2. Key Features
8-Line MA Ribbon: A fully customizable ribbon of 8 independent moving averages.
Dynamic Candle Coloring: The main chart's candles are colored (by default, White for bullish, Blue for bearish) based on the price's position relative to your chosen "base" MA.
Total Customization: Every single MA line can be independently configured:
Type: EMA, SMA, WMA, VWMA, or RMA.
Source: Close, High, Low, Open, etc.
Length: Any period.
Color: Any color.
Visibility Control: Each of the 8 MAs can be toggled on or off from the "Visibility" tab, allowing you to create a clean chart that shows only the MAs you need while keeping the logic of the hidden MAs active (e.g., for the bar color).
3. How It Works: The Logic Explained
The indicator's logic is split into two main components:
1. The Ribbon Calculation The script calculates 8 independent moving averages (ma1 through ma8). The custom f_ma() function allows each one to be an EMA, SMA, WMA, etc., based on your selections in the "Configuración de la Cinta" (Ribbon Configuration) tab. This gives you complete control over building complex ribbon structures.
2. The Bar Coloring Logic This is the indicator's core visual feature:
You select a "base" MA using the "MA Base para el Color" dropdown (defaulting to MA #2).
The script then runs a simple but powerful check on every bar:
if close > ma_for_color (Is the closing price above the base MA?)
If true, the color_bull (default White) is applied to the candle.
If false, the color_bear (default Blue) is applied.
This barcolor function provides an immediate, unambiguous visual representation of the trend as defined by your single most important moving average.
4. How to Use It (Strategy & Interpretation)
This indicator is designed for trend confluence trading.
Primary Trend Filter: Use the candle colors as your main trend filter.
If candles are White (Bullish, close > MA #2), you should primarily be looking for buy/long opportunities.
If candles are Blue (Bearish, close < MA #2), you should primarily be looking for sell/short opportunities.
Dynamic Support & Resistance: Use the visible ribbon lines (MAs #1-4 by default) as dynamic levels of support or resistance.
Example (Bullish): If the candles are White, a price pullback that touches the MA #3 (80 EMA of Low) or the MA #4 (200 SMA) could be a "buy the dip" opportunity.
Example (Bearish): If the candles are Blue, a price rally that touches the MA #1 (80 EMA of High) could be a "sell the rally" opportunity.
Context & Momentum: The hidden MAs (MAs #5-8, which are shorter-term EMAs like 21, 34, 55, 89) can be toggled on to analyze the short-term momentum within the larger trend structure.
5. Default Settings (Based on Your Images)
The indicator loads with a specific preset designed for immediate use:
Visible MAs (Default):
MA #1: 80-period EMA (Source: High)
MA #2: 80-period EMA (Source: Close)
MA #3: 80-period EMA (Source: Low)
MA #4: 200-period SMA (Source: Close)
Hidden MAs (Default): MAs #5-8 (21, 34, 55, 89 EMAs) are hidden but can be enabled.
Bar Color: The default coloring is ON, using MA #2 as the base.
CyberFX Round NumbersThis is a traditional Round Numbers indicators. As all know RND # are psychological levels that represents Support and Resistance. Of course they are not exact science but in general they can give us a possible level where maybe the price move will be rejected.
One other thing I have been using in my strategy is no matter what the time frame I am trading I always check the Daily trend. We know that the banks and financial institutions are always looking for the high TFs trend for long investments so, on my understand, the Daily trend will affect the lower TFs in one way or other so I decided to add this option into this indicator.
Also to avoid an over crowed chart with many lines around I added the option to Show/Hide the RND# so during the analysis I can check the RND# levels.
The Daily Trend is based on a SMA(200).
Sani Momentum Target System [wjdtks255]Sani Momentum Target System Explanation & Trading Method
The Sani Momentum Target System is a momentum-based trading indicator that helps traders identify trend changes and determine precise entry points, stop-loss levels, and multiple profit targets.
Key Features:
Smoothed Price Calculation: Utilizes a glide-like smoothing function to reduce noise in price data.
Moving Averages: Calculates fast and slow EMAs on the smoothed price; the difference creates an oscillator.
Signal Line: A simple moving average smooths the oscillator to generate a signal line.
Trend Signals:
Buy signal when oscillator crosses above the signal line.
Sell signal when oscillator crosses below the signal line.
Entry, Stop Loss, Target Levels:
Entry price is set at current close on signal.
Stop loss is set by multiplying ATR by 2 against trend direction.
Three take profit targets (T1, T2, T3) are set by user-defined multiples of ATR.
Visual Display: Includes colored horizontal lines and labels for entry, stop loss, and targets.
Bars are colored by trend direction, and triangular markers show buy/sell signals.
How To Use This Indicator:
Entry: Place trades in the direction of the signal (long on buy, short on sell).
Stop Loss: Use the ATR-based stop loss line to minimize downside risk.
Profit Taking: Scale out profits or exit trades at target levels T1, T2, and T3.
Trend Confirmation: Confirm with oscillator trend direction before entry to avoid false signals.
Parameter Adjustment: Modify smoothing lengths, ATR period, and target multipliers to fit your trading style and timeframe.
Final Notes:
This indicator streamlines momentum trading by providing clear price targets and risk levels visually.
Always backtest strategies and apply proper risk management.
Suitable across asset classes: stocks, forex, cryptocurrencies.
If you want detailed guidance or customization, feel free to ask!
OPPLIGER SMA Stufen-TP Strategie (200/100/50/25) mit Reentry✔️ 5.- transaction costs
✔️ 7% Stop-Loss
✔️ 3 Take-Profit SMA-levels
✔️ Reentry via SMA100 correction
✔️ Reentry via SMA25/SMA50 crossover
✔️ New REENTRY rule after Stop-Loss
→ only if SMA stack is bullish AND the 3rd & 4th candle after SL are above SMA25
Accurate Sideways Market Detectorthis indicator is used to determine when the market is moving sideways
SMA Stufen-TP Strategie (200/100/50/25) mit ReentryStrategy Description for TradingView: Multi-SMA Momentum & Reentry System
This Pine Script strategy, named "SMA Stufen-TP Strategie (200/100/50/25) mit Reentry," is a Long-Only trend-following system designed to capitalize on upward momentum and capture significant gains while incorporating sophisticated logic for reentry after corrections.
The system relies on four Simple Moving Averages (SMAs): SMA 200, SMA 100, SMA 50, and SMA 25. These indicators are used to define the trend structure, trigger entries, and set dynamic, layered Take-Profit (TP) levels.
Entry Rules
The strategy has one main entry and two specific reentry triggers:
Main Entry (Standard Trend): A long position is opened when the price crosses above the SMA 200. This acts as the initial signal for a strong, long-term uptrend.
Reentry 1 (Medium Correction): This reentry is sought after an official exit (Stop Loss or Take Profit). It is permitted if the SMA 100 is above the SMA 200 and two conditions are met: the price previously dipped below the SMA 100 during the correction, and it now closes two consecutive bars above the SMA 100. This targets a confirmed bounce within an overall bullish structure.
Reentry 2 (Deep Correction/Momentum Shift): This triggers during a deep correction where all shorter SMAs (100, 50, 25) are below the SMA 200. Reentry occurs when the SMA 25 crosses above the SMA 50, signaling a powerful short-term momentum shift that precedes a larger recovery.
Exit and Take-Profit Logic
Exits are governed by a prioritized system including a fixed Stop Loss and three dynamic Take-Profit stages.
A. Stop Loss (Highest Priority)
The primary risk control is a fixed Stop Loss at -10% below the entry price. This is always the first exit condition checked.
B. Layered Take-Profits (TP)
Profits are secured using a step-wise mechanism that trails the price using the shorter SMAs, but only after specific profit thresholds are met. This ensures that the strategy provides ample room for a strong rally while securing gains as the trend matures.
TP Stage 1: Activated when the price first crosses above the SMA 100. The position is closed if the profit reaches 10% or more and the price closes two consecutive bars below the SMA 100.
TP Stage 2: Activated when the price first crosses above the SMA 50. The position is closed if the profit reaches 20% or more and the price closes two consecutive bars below the SMA 50.
TP Stage 3: Activated when the price first crosses above the SMA 25. The position is closed if the profit reaches 40% or more and the price closes two consecutive bars below the SMA 25.
The exit priority ensures that the tightest active stop is used: Stop Loss takes precedence, followed by TP 3 (the highest profit and tightest trail), then TP 2, and finally TP 1.
Range Oscillator Strategy + Stoch Confirm🔹 Short summary
This is a free, educational long-only strategy built on top of the public “Range Oscillator” by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. It’s a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades.
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0. Legal / risk disclaimer
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• This script is FREE and public. I do not charge any fee for it.
• It is for EDUCATIONAL PURPOSES ONLY.
• It is NOT financial advice and does NOT guarantee profits.
• Backtest results can be very different from live results.
• Markets change over time; past performance is NOT indicative of future performance.
• You are fully responsible for your own trades and risk.
Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital.
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1. About default settings and risk (very important)
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The script is configured with the following defaults in the `strategy()` declaration:
• `initial_capital = 10000`
→ This is only an EXAMPLE account size.
• `default_qty_type = strategy.percent_of_equity`
• `default_qty_value = 100`
→ This means 100% of equity per trade in the default properties.
→ This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade.
TradingView’s House Rules recommend risking only a small part of equity per trade (often 1–2%, max 5–10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to:
1. Open **Strategy Settings → Properties**.
2. Set:
• Order size: **Percent of equity**
• Order size (percent): e.g. **1–2%** per trade
3. Make sure **commission** and **slippage** match your own broker conditions.
• By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets.
If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading.
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2. What this strategy tries to do (conceptual overview)
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This is a LONG-ONLY strategy designed to explore the combination of:
1. **Range Oscillator (Zeiierman-based)**
- Measures how far price has moved away from an adaptive mean.
- Uses an ATR-based range to normalize deviation.
- High positive oscillator values indicate strong price expansion away from the mean in a bullish direction.
2. **Stochastic as a timing filter**
- A classic Stochastic (%K and %D) is used.
- The logic requires %K to be below a user-defined level and then crossing above %D.
- This is intended to catch moments when momentum turns up again, rather than chasing every extreme.
3. **EMA Exit Filter (trend slope)**
- An EMA with configurable length (default 70) is calculated.
- The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition.
- This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted.
4. **Optional risk-management layer**
- Percentage-based Stop Loss and Take Profit (SL/TP).
- Risk/Reward (R-multiple) exit based on the distance from entry to SL.
- Implemented as OCO orders that work *on top* of the logical exits.
The goal is not to create a “holy grail” system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes.
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3. Components and how they work together
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(1) Range Oscillator (based on “Range Oscillator (Zeiierman)”)
• The script computes a weighted mean price and then measures how far price deviates from that mean.
• Deviation is normalized by an ATR-based range and expressed as an oscillator.
• When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction.
• When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled).
(2) Stochastic confirmation
• Classic Stochastic (%K and %D) is calculated.
• An entry requires:
- %K to be below a user-defined “Cross Level”, and
- then %K to cross above %D.
• This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point.
(3) EMA Exit Filter
• The EMA length is configurable via `emaLength` (default 70).
• The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA.
• If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition.
• This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit.
(4) Risk management (optional)
• Stop Loss (SL) and Take Profit (TP):
- Defined as percentages relative to average entry price.
- Both are disabled by default, but you can enable them in the Inputs.
• Risk/Reward Exit:
- Uses the distance from entry to SL to project a profit target at a configurable R-multiple.
- Also optional and disabled by default.
These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first.
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4. Entry & Exit logic (high level)
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A) Time filter
• You can choose a **Start Year** in the Inputs.
• Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`).
• This prevents accidental use of tiny cherry-picked windows and makes tests more honest.
B) Entry condition (long-only)
A long entry is allowed when ALL the following are true:
1. `timeCondition` is true (inside the backtest window).
2. If `useOscEntry` is true:
- Range Oscillator value must be above `entryLevel`.
3. If `useStochEntry` is true:
- Stochastic condition (`stochCondition`) must be true:
- %K < `crossLevel`, then %K crosses above %D.
If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`.
C) Exit condition (logical exits)
A position can be closed when:
1. `timeCondition` is true AND a long position is open, AND
2. At least one of the following is true:
- If `useOscExit` is true: Oscillator is below `exitLevel`.
- If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`).
In that case, `strategy.close("Long")` is called.
D) Risk-management exits
While a position is open:
• If SL or TP is enabled:
- `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages.
• If Risk/Reward exit is enabled:
- `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance.
These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels.
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5. Recommended backtest configuration (to avoid misleading results)
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To align with TradingView House Rules and avoid misleading backtests:
1. **Initial capital**
- 10 000 (or any value you personally want to work with).
2. **Order size**
- Type: **Percent of equity**
- Size: **1–2%** per trade is a reasonable starting point.
- Avoid risking more than 5–10% per trade if you want results that could be sustainable in practice.
3. **Commission & slippage**
- Commission: around 0.1% if that matches your broker.
- Slippage: a few ticks (e.g. 3) to account for real fills.
4. **Timeframe & markets**
- Volatile symbols (e.g. crypto like BTCUSDT, or major indices).
- Timeframes: 1H / 4H / **1D (Daily)** are typical starting points.
- I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes.
5. **No “caution warning”**
- Make sure your chosen symbol + timeframe + settings do not trigger TradingView’s caution messages.
- If you see warnings (e.g. “too few trades”), adjust timeframe/symbol or the backtest period.
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5a. About low trade count and rare signals
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This strategy is intentionally designed to trade RARELY:
• It is **long-only**.
• It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter).
• On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest.
TradingView’s House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case:
• The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window.
• The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals.
• Because of the low trade count, results should NOT be interpreted as statistically strong or “proven” – they are only one sample of how this logic would have behaved on past data.
Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample.
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6. How to use this strategy (step-by-step)
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1. Add the script to your chart.
2. Open the **Inputs** tab:
- Set the backtest start year.
- Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter.
- Optionally enable SL, TP, and Risk/Reward exits.
3. Open the **Properties** tab:
- Set a realistic account size if you want.
- Set order size to a realistic % of equity (e.g. 1–2%).
- Confirm that commission and slippage are realistic for your broker.
4. Run the backtest:
- Look at Net Profit, Max Drawdown, number of trades, and equity curve.
- Remember that a low trade count means the statistics are not very strong.
5. Experiment:
- Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params.
- See how the metrics and trade frequency change.
6. Forward-test:
- Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time.
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7. Originality and usefulness (why this is more than a mashup)
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This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component:
• Range Oscillator:
- Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric.
• Stochastic:
- Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn.
• EMA Exit Filter:
- Trend-slope-based safety net to exit when the medium-term direction changes against the position.
• Risk module:
- Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic.
It aims to give traders a ready-made **framework to study and modify**, not a black box or “signals” product.
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8. Limitations and good practices
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• No single strategy works on all markets or in all regimes.
• This script is long-only; it does not short the market.
• Performance can degrade when market structure changes.
• Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit.
Good practices:
- Test on multiple symbols and timeframes.
- Focus on stability and drawdown, not only on how high the profit line goes.
- View this as a learning tool and a basis for your own research.
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9. Licensing and credits
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• Core oscillator idea & base code:
- “Range Oscillator (Zeiierman)”
- © Zeiierman, licensed under CC BY-NC-SA 4.0.
• Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer:
- Modifications by jokiniemi.
Please respect both the original license and TradingView House Rules if you fork or republish any part of this script.
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10. No payments / no vendor pitch
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• This script is completely FREE to use on TradingView.
• There is no paid subscription, no external payment link, and no private signals group attached to it.
• If you have questions, please use TradingView’s comment system or private messages instead of expecting financial advice.
Use this script as a tool to learn, experiment, and build your own understanding of markets.
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11. Example backtest settings used in screenshots
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To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration:
• Symbol: BTCUSDT (or similar major BTC pair)
• Timeframe: 1D (Daily)
• Backtest period: from 2018 to the most recent data
• Initial capital: 10 000
• Order size type: Percent of equity
• Order size: 2% per trade
• Commission: 0.1%
• Slippage: 3 ticks
• Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default
• Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled
If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
Swing Trade BUY/SELL + SCORING +COLOUR FIXBUY/SELL labels now appear with a score (1–3) next to them.
Color coding visually distinguishes signal strength:
BUY → 1 yellow, 2 light green, 3 dark green
SELL → 1 orange, 2 red, 3 burgundy
This allows you to instantly see the signal strength both numerically and visually.
ORB Pro SuiteOverview
ORB Pro with Filters + Debug Overlay is an advanced Opening Range Breakout indicator designed for precision intraday trading. It defines a configurable ORB window, automatically builds the breakout range, and triggers long or short signals only when all active filters align. The script also includes a built-in debug overlay that explains why each breakout is accepted or blocked, allowing traders to fine-tune entries with transparency.
What Makes It Unique
• Modular filter stack – close-confirmation vs. instant breaks, retest confirmation with adjustable tolerance %, volume-spike and EMA-trend filters, ORB-size range, session cutoff, and cooldown logic.
• Non-blocking debug overlay – inline or corner display of the exact rejection reason (“Too late,” “Low volume,” “Trend mismatch,” etc.).
• Fully customizable visuals – choose shaded, outline, or line-only ORB styles; set opacity, border color, and right-edge offset so the box never hides current candles.
• Integrated reversal engine – detects doji, hammer, and engulfing structures within a time-filtered window and optional VWAP/EMA confluence.
How It Works
During the defined opening window (default 9:30 – 9:45 NY), the indicator records the session high and low.
After the box closes, it looks for breakouts confirmed by candle close or retest (per user settings).
Each signal passes through range, volume, trend, time-delay, and session filters before printing.
Visual stop-loss / take-profit levels appear for reference using either R:R multiples or fixed %.
The optional reversal layer marks short-term exhaustion zones for counter-scalp setups.
Usage Guidelines
• Apply to standard candlestick charts (not Heikin Ashi, Renko, or Range).
• Select your local ORB start / end time, then enable or disable filters based on your playbook.
• Use the “Outline only” or “Corner table” debug modes for a cleaner chart.
• The script provides visual and alert-based confirmations only; it does not execute orders or backtest performance.
Inputs at a Glance
– ORB window (start/end time)
– Close-confirm toggle
– Retest tolerance %
– Volume SMA length
– EMA length for trend filter
– Min/Max range % filter
– Cooldown bars and session cutoff
– Visual R:R ratio or fixed SL/TP %
– Box style, opacity, border width / color
– Debug overlay mode (inline or table) and leader lines
Notes & Disclaimers
• This script is for analysis and educational purposes only. It does not constitute financial advice or guarantee performance.
• Signals are calculated on completed bars without lookahead.
• Invite-only access ensures version integrity and controlled distribution.
© Trades with B – Original development in Pine v6. Reuse of this code requires explicit permission from the author.
BulletProof - iTrend Regularity Adaptive Moving AverageThis Pine Script (version 5) implements an enhanced version of the Trend Regularity Adaptive Moving Average (TRAMA) indicator, and overlays it on TradingView charts. Named "iTRAMA", it adapts a moving average to market trends by detecting regularity in price extremes, making it more responsive to trend changes while reducing lag compared to traditional moving averages.






















