WaveRider [Scalping-Algo]# 📊 TrendPulse Pro - Indicator Guide
## 🎯 What is it?
A clean all-in-one trend tool. Combines 4 smoothed MAs, candlestick patterns & session highlights. No clutter, just signals.
---
## 🔧 Features
### 📈 4 Smoothed Moving Averages
- **21 SMMA** (Cyan) → Fast trend, scalping
- **50 SMMA** (Green) → Swing entries
- **100 SMMA** (Gold) → Medium trend filter
- **200 SMMA** (Red) → Major trend direction
💡 *Price above all = strong bull. Below all = strong bear.*
---
### ⚡ 3 Line Strike Pattern
Rare but powerful reversal signal.
- 🟢 **Bull 3LS** → 3 red candles + 1 big green that closes above first candle
- 🔴 **Bear 3LS** → 3 green candles + 1 big red that closes below first candle
💡 *Best near support/resistance zones.*
---
### 💎 Engulfing Candles
Shows momentum shift.
- 🟢 **Bull Engulf** → Green candle swallows previous red
- 🔴 **Bear Engulf** → Red candle swallows previous green
💡 *Filter with trend direction for better win rate.*
---
### 🕐 Session Highlight
See your trading window clearly.
- Light shade = Pre-session (prep time)
- Darker shade = Active session (go time)
💡 *Default is CME hours. Adjust in settings.*
---
## 📝 Quick Setup
1. Add to chart
2. Pick your timeframe (works on any)
3. Toggle what you need ON/OFF
4. Set your session times
5. Trade with confidence
---
## 🎨 Color Guide
| Element | Default Color | Meaning |
|---------|---------------|---------|
| 21 MA | Cyan | Fast trend |
| 50 MA | Green | Swing trend |
| 100 MA | Gold | Filter |
| 200 MA | Red | Big picture |
| Fill Green | Light Green | Bullish bias |
| Fill Red | Light Red | Bearish bias |
---
## ⚠️ Tips
✅ Use MA stack for trend bias
✅ Wait for patterns AT key levels
✅ Combine with volume
✅ Respect the 200 MA
❌ Don't trade against all MAs
❌ Don't chase every signal
❌ Don't ignore session times
---
## 🚀 Best Practices
**For Scalping:**
- Focus on 21 & 50 MA
- Trade engulfing patterns
- Use 1-5 min charts
**For Swing:**
- Focus on 100 & 200 MA
- Trade 3 Line Strike
- Use 1H-4H charts
---
Made with ☕ by a trader, for traders.
*"Keep it simple. Let price do the talking."*
Indicateurs et stratégies
LogTrend Retest EngineLogTrend Retest Engine (LTRE)
LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering .
Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends.
🔹 How It Works
Logarithmic Regression Core
Performs linear regression on log-transformed price and time
Produces a structurally accurate trend midline that scales with price growth
Volatility-Adjusted Deviation Bands
Dynamic upper and lower zones based on statistical deviation
ATR weighting expands or contracts bands as volatility changes
Adaptive Lookback (Optional)
Automatically adjusts regression length using volatility pressure
Faster response in high-volatility environments, smoother in consolidation
🔹 Market Regime Detection
LTRE actively filters conditions using:
R² trend strength (trend quality, not just slope)
Volatility compression vs expansion
User-defined minimum trend strength threshold
Signals are disabled during ranging or low-quality conditions .
🔹 Breakout → Retest Signal Logic
LTRE does not chase breakouts.
Signals trigger only when:
1. Price breaks cleanly outside the deviation band
2. Market regime is confirmed as trending
3. Price performs a controlled retest within a user-defined tolerance
BUY
Break above upper band → retest → trend confirmed
SELL
Break below lower band → retest → trend confirmed
This structure is designed to reduce false breakouts and late entries.
🔹 Visual & Projection Tools
Clean midline and deviation bands
Optional filled zones
Optional future trend projection for forward structure planning
On-chart statistics for trend strength and volatility compression
🔹 Best Use Cases
Trend continuation & pullback strategies
Crypto, Forex, Indices, and equities
Works best on 15m and higher timeframes
⚠️ Disclaimer
LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context.
Built for traders who wait for structure — not noise.
Adaptive Log Trend Zones + Retest SignalsAdaptive Log Trend Zones + Retest Signals
Adaptive Log Trend Zones is a trend-following overlay built to identify high-probability breakout retests in strong market conditions. It combines logarithmic regression , volatility-adaptive behavior , and ATR-based trend zones to help traders stay aligned with dominant momentum while avoiding chop.
🔹 Core Features
Logarithmic Regression Midline
Uses linear regression on log price to better handle exponential market moves
Produces smoother, more realistic trend structure on higher timeframes
Volatility-Adaptive Lookback
Automatically expands or contracts the regression length based on ATR volatility
Reacts faster in high volatility, smoother in consolidation
Dynamic Trend Zones
Upper and lower bands are ATR-adjusted and trend-colored
Optional future projection for visual trend guidance
Breakout → Retest Signal Logic
Detects clean breakouts beyond the trend zone
Waits for a controlled pullback (retest) before signaling
Signals only trigger when trend strength is confirmed
Trend Quality Filter
Internal regime detection filters out low-quality, sideways conditions
Uses slope strength and volatility compression to validate entries
🔹 Signals
BUY : Bullish breakout followed by a valid retest in a trending regime
SELL : Bearish breakout followed by a valid retest in a trending regime
Signals are designed for trend continuation , not mean reversion.
🔹 Best Use Cases
Crypto, Forex, and Index markets
Higher timeframes (15m+ recommended)
Trend continuation and pullback strategies
⚠️ Notes
This indicator is not a standalone trading system . Always use proper risk management and confirm signals with structure, volume, or higher-timeframe context.
Designed for traders who prefer structure, patience, and momentum alignment.
CIRRUS strategyVWAP EMA CROSS VOLUME STRATEGY WITH TIME FILTER
with this indicator you will be able to use a free strategy using selected volume , emas and vwaps using the timeframe filter too
Atilla EMA Cloud PRO (FINAL - FIXED)Atilla EMA Cloud PRO (FINAL – FIXED) is a professional trend-filtering indicator designed to eliminate noise and keep traders out of low-probability, sideways markets.
This indicator is built around a multi-EMA structure (EMA 9 / 21 / 35 / 55) combined with an ATR-based sensitivity filter and candle confirmation logic. Its primary goal is not to generate constant signals, but to clearly define when the market is worth trading — and when it is not.
Key Features:
Advanced EMA Cloud that defines clear NO-TRADE ZONES
ATR-based sideways market detection to suppress fake trends
Trend confirmation using momentum + candle structure
Adjustable sensitivity for different market conditions
Optimized for 15-minute charts, suitable for both crypto and forex
Designed to favor quality over quantity
How to use:
Trade only when price is outside the EMA Cloud
Ignore signals during gray / flat conditions
Focus on sustained color changes confirmed by EMA alignment
Best used with proper risk management and higher timeframe context
This indicator does not chase every move.
It waits for structure, momentum, and clarity.
Built for traders who value discipline, patience, and consistency over noise.
Ultimate Futures Daytrade Suite v1 - The Strategy GuideHere is the complete **Strategy Guide** translated into English.
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# 📘 Ultimate Futures Daytrade Suite – The Strategy Guide
### 1. The Visual Legend (What is what?)
Before you trade, you need to understand the hierarchy of your lines. Not every line has the same importance.
* **🟣 Daily EMA 50 (Neon Violet):** The **"Big Boss"**. It determines the **Macro Trend**.
* *Price above:* We are primarily looking for Longs.
* *Price below:* We are primarily looking for Shorts.
* **🟢 4h EMA 50 (Neon Green):** The **"Swing Trend"**. Your most important level for **Pullback Entries** (Re-entries).
* **🟡 POC (Gold) & TPO:** The **"Magnet"**. Price often returns here.
* *Rule:* Never open a trade directly *on* the POC (Risk of "Chop"). Use it as a **Target** (Take Profit).
* **🟠 IB High/Low (Orange Lines):** The **"Daily Structure"**.
* A breakout from the IB (Initial Balance) often indicates the trend direction for the day.
* **🟥/🟩 Boxes (Supply/Demand):** Resistance and Support zones from the 1h timeframe.
* **⬜ FVG Boxes:** "Gaps" in the market that are often filled.
---
### 2. The Trading Workflow (Top-Down Method)
Go through this mental checklist before every trade:
#### Step 1: Trend Check (The Traffic Light)
Look at the **Violet Line (Daily)** and the **Green Line (4h)**.
* **Bullish:** Price is above Violet AND above Green. -> *Focus: Buy dips.*
* **Bearish:** Price is below Violet AND below Green. -> *Focus: Sell rallies.*
* **Mixed:** Price is between Violet and Green. -> *Caution! Market is undecided (Range Trading).*
#### Step 2: Location (The Context)
Where is the price currently located?
* Are we at a **Green Demand Zone**?
* Are we testing the **4h EMA 50 (Green)** from above?
* Are we at the **VWAP**?
* *Never trade in "No Man's Land"!* Wait until the price touches one of your lines.
#### Step 3: Trigger (The Execution)
Now zoom into your lower timeframe (e.g., 5min or 15min).
* Wait for a reaction at the zone.
* Use the **EMA 9 (Yellow)** as a momentum trigger. If price breaks the EMA 9 and closes above/below it, that is your "Go".
---
### 3. The Setup Blueprints
Here are the two most profitable scenarios you can trade with this script:
#### A) The "Golden Trend" Setup (Long)
* **Context:** Price > **Daily EMA (Violet)**.
* **Preparation:** Price corrects (drops) back to the **4h EMA 50 (Green)** or to the **VWAP**.
* **Confluence:** Ideally, there is also a **Demand Zone (Green Box)** or an **FVG** at that level.
* **Entry:** As soon as a candle touches the zone and closes bullish again (or reclaims the EMA 9).
* **Stop-Loss:** Below the 4h EMA 50.
* **Take-Profit:** Next **Supply Zone (Red)** or the **IB High (Orange)**.
#### B) The "Daytrade Breakout" (Intraday)
* **Context:** Price opens inside yesterday's Value Area.
* **Signal:** Price breaks through the **IB High (Orange)** with momentum.
* **Filter:** Price must be above the **VWAP**.
* **Entry:** On the retest of the IB High or directly on the breakout.
* **Target:** Price often trends in that direction for the rest of the day.
---
### 4. Warning Signals (When NOT to trade)
1. **The "Concrete Ceiling":** If you want to go Long, but the **Violet Daily EMA 50** is running directly above you. This is massive resistance. Better wait until it is broken.
2. **The "POC Dance":** If price is dancing sideways around the **Gold Line (POC)**. This is a "No-Trade Zone". Day traders lose the most money here due to fees and whipsaws.
3. **Overextension:** If price is extremely far away from the **4h EMA 50 (Green)** (Rubber Band Effect). Do not enter in the trend direction here; wait for a pullback to the line.
### Summary
Your chart is now telling you a story:
* **Violet** tells you the Direction.
* **Green** gives you the Entry.
* **Red/Green Boxes** show you the Obstacles.
* **Yellow (EMA 9)** gives you the Timing.
Good luck with the Suite! This is a setup similar to what institutional traders use.
Range Breakout Statistics [Honestcowboy]⯁ Overview
The Range Breakout Statistics uses a very simple system to detect ranges/consolidating markets. The principle is simple, it looks for areas where the slope of a moving average is flat compared to past values. If the moving average is flat for X amount of bars that's a range and it will draw a box.
The statistics part of the script is a bit more complicated. The aim of this script is to expand analysis of trading signals in a different way than a regular backtest. It also highlights the polyline tool, one of my favorite drawing tools on the tradingview platform.
⯁ Statistics Methods
The script has 2 different modes of analyzing a trading signals strength/robustness. It will do that for 2 signals native to the script.
Upper breakout: first price breakout at top of box, before max bars (100 bars by default)
Lower breakout: first price breakout at bottom of box, before max bars
The analysis methods themselves are straightforward and it should be possible for tradingview community to expand this type of analysis to other trading signals. This script is a demo for this analysis, yet some might still find the native signals helpful in their trading, that's why the script includes alerts for the 2 native signals. I've also added a setting to disable any data gathering, which makes script run faster if you want to automate it.
For both of the analysis methods it uses the same data, just with different calculations and drawing methods. The data set is all past price action reactions to the signals saved in a matrix. Below a chart for explaining this visually.
⯁ Method 1: Averages Projection
The idea behind this is that just showing all price action that happened after signal does not give actionable insights. It's more a spaghetti jumble mess of price action lines. So instead the script averages the data out using 3 different approaches, all selectable in the settings menu.
Geometric Average: useful as it accurately reflects compound returns over time, smoothing out the impact of large gains or losses. Accounts for volatility drift.
Arithmetic Average: a standard average calculation, can be misleading in trading due to volatility drift. It is the most basic form of averaging so I included it.
Median: useful as any big volatility huge moves after a signal does not really impact the mean as it's just the middle value of all values.
These averages are the 2 lines you will find in the middle of the projection. Having a clear difference between a lower break average and upper break average price reaction can signal significance of the trading signal instead of pure chaos.
Outside of this I also included calculations for the maximum and minimum values in the dataset. This is useful for seeing price reactions range to the signal, showing extreme losses or wins are possible. For this range I also included 2 matrices of highs and lows data. This makes it possible to draw a band between the range based on closing price and the one using high/low data.
Below is a visualisation of how the averages data is shown on chart.
⯁ Method 2: Equity Simulation
This method will feel closer to home for traders as it more closely resembles a backtest. It does not include any commissions however and also is just a visualisation of price reaction to a signal. This method will simulate what would happen if you would buy at the breakout point and hold the trade for X amount of bars. With 0 being sell at same bar close. To test robustness I've given the option to visualise Equity simulation not just for 1 simulation but a bunch of simulations.
On default settings it will draw the simulations for 0 bars holding all the way to 10 bars holding. The idea behind it is to check how stable the effect is, to have further confirmation of the significance of the signal. If price simulation line moves up on average for 0 bars all the way to 10 bars holding time that means the signal is steady.
Below is a visualisation of the Equity Simulation.
⯁ Signal filtering
For the boxes themselves where breakouts come from I've included a simple filter based on the size of the box in ATR or %. This will filter out all the boxes that are larger top to bottom than the ATR or % value you setup.
⯁ Coloring of Script
The script includes 5 color themes. There are no color settings or other visual settings in the script, the script themes are simple and always have colors that work well together. Equity simulation uses a gradient based on lightness to color the different lines so it's easier to differentiate them while still upper breaks having a different color than lower breaks.
This script is not created to be used in conjunction with other scripts, it will force you into a background color that matches the theme. It's purpose is a research tool for systematic trading, to analyse signals in more depth.
Metaverse color theme:
⯁ Conclusion
I hope this script will help traders get a deeper understanding of how different assets react to their assets. It should be possible to convert this script into other signals if you know how to code on the platform. It is my intention to make more publications that include this type of analysis. It is especially useful when dealing with signals that do not happen often enough, so a regular backtest is not enough to test their significance.
Zig Zag ++ SG (Premium)🔥 Zig Zag ++ SG
Professional Market Structure & Cycle Analyzer
Zig Zag ++ SG is an advanced, research-grade market structure indicator built on top of a refined ZigZag engine, designed for traders and investors who want to understand price cycles, not chase candles.
This is not a buy-sell arrow tool.
It is a decision-support system used to analyze trend strength, exhaustion, pullback depth, and cycle behavior across any market and timeframe.
🧠 What Makes Zig Zag ++ SG Different?
Most ZigZag indicators only draw lines.
Zig Zag ++ SG answers the real questions:
Is the trend getting stronger or weaker?
Are higher highs still meaningful?
How deep are pullbacks in percentage terms?
Which stocks recover fast vs stay weak?
Is this accumulation, distribution, or reversal?
It does this by combining:
Market Structure (HH / HL / LH / LL)
Consecutive structure counting
Gain & fall percentage per swing
Clean visual logic (no repaint confusion)
📌 Core Features
✅ 1. Automatic Market Structure Detection
Labels every major swing as:
HH – Higher High
HL – Higher Low
LH – Lower High
LL – Lower Low
This instantly shows whether the market is:
Trending
Consolidating
Distributing
Reversing
✅ 2. Consecutive Structure Count (ON by default)
Each structure type is counted sequentially:
HH (1), HH (2), HH (3)…
HL (1), HL (2)…
This reveals:
Trend maturity
Exhaustion zones
Early breakdown warnings
Example:
HH (4) = trend may be overextended
HL (3) = healthy trend continuation
✅ 3. Gain & Fall % on Every Swing (ON by default)
Every HH, HL, LH, LL shows:
Exact % move from the previous pivot
This allows you to:
Compare pullback depth across stocks
Identify leaders (shallow HLs)
Spot weak stocks (deep HLs / LHs)
Study cycle symmetry
Example label:
HL (2)
-6.4%
✅ 4. Clean, Readable Visual Design
🟩 Green labels → White text
🟥 Red labels → High-contrast white text
Optional background trend shading (OFF by default)
Works perfectly in dark & light mode
Designed for long chart study sessions, not flashy screenshots.
✅ 5. Safe Repaint Logic (Transparent by Design)
Uses ZigZag logic intentionally
No fake “non-repainting” claims
Ideal for analysis, research & planning
What you see is structurally correct
This indicator is for thinking traders, not signal chasers.
⚙️ Best Settings (Recommended)
🔹 Intraday Trading
Timeframe: 5m / 15m
Depth: 8–10
Deviation: 3–5
Backstep: 2
🔹 Swing Trading (Most Popular)
Timeframe: Daily
Depth: 12–15
Deviation: 5
Backstep: 2
🔹 Long-Term / Investing
Timeframe: Weekly
Depth: 15–20
Deviation: 5–8
Backstep: 3
💡 Tip:
Lower depth = more swings
Higher depth = cleaner, major cycles
📈 How to Use Zig Zag ++ SG (Practically)
🔹 Trend Strength
HH (3+) + HL (2–3)
→ Strong, healthy trend
🔹 Exhaustion Warning
HH (4+)
→ Risk of distribution or slowdown
🔹 Pullback Quality
HL −3% to −7%
→ Strong stock
HL −12% to −20%
→ Weak hands / fragile trend
🔹 Reversal Confirmation
LH followed by LL (2+)
→ Trend change likely
🧪 Who Is This Indicator For?
✅ Swing traders
✅ Positional traders
✅ Long-term investors
✅ Market structure students
✅ Stock researchers
✅ Anyone tired of noisy indicators
❌ Not for:
People wanting instant buy/sell arrows
Scalpers chasing 1-minute signals
“Magic indicator” seekers
💎 Why This Is Worth Purchasing
Built with Pine Script v6 best practices
Solves real market questions
Helps avoid:
Buying late
Selling early
Holding weak stocks too long
Encourages process-driven trading
One-time learning tool you’ll use for years
Most traders lose money not because of entries —
but because they misread structure and cycles.
Zig Zag ++ SG fixes that.
TDPOWERSYS vs Market-Cap Weighted Peersfor QIC - UnCut Diamonds team..
to compare one company vs its peers bundled as basket.
editable..
Nixxo ATR Stop LossATR that prints stop losses for short or long positions with a table that shows the pip values in each case!
Daily Extension from 50DMA (adjustable) in ATR%Indicator to easily spot over extended prices in relation to ATR.
ATR or ADR easily referenced
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description
Purpose
This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context.
Data Sources
All fundamentals are pulled from TradingView’s financial dataset using:
request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on)
Where:
"FQ" = Quarterly frequency
barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available)
Financial fields used:
FREE_CASH_FLOW (FCF)
ENTERPRISE_VALUE (EV)
TOTAL_SHARES_OUTSTANDING
DILUTED_SHARES_OUTSTANDING
Market cap is derived (not pulled directly in this version):
marketCap = totalSharesOutstanding * close
(Only used as a reference in the script; the yield itself is based on EV.)
Core Calculation
1) FCF Yield (Net)
The base yield is:
FCF Yield
(
%
)
=
FCF
Enterprise Value
×
100
FCF Yield(%)=
Enterprise Value
FCF
×100
Implementation detail:
If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors.
Dilution Adjustment (Optional Series)
2) Dilution Ratio
The script estimates dilution impact using:
dilutionRatio
=
Total Shares Outstanding
Diluted Shares Outstanding
dilutionRatio=
Diluted Shares Outstanding
Total Shares Outstanding
Notes:
If dilutedSharesOutstanding is missing or zero, the ratio becomes na.
3) Diluted FCF Yield
If the ratio indicates dilution (<= 1), yield is scaled down:
FCF Yield Diluted
=
FCF Yield
×
dilutionRatio
FCF Yield Diluted=FCF Yield×dilutionRatio
Else (ratio > 1 or na), the script defaults to the net yield:
FCF Yield Diluted
=
FCF Yield
FCF Yield Diluted=FCF Yield
Practical interpretation:
More dilution → lower ratio → lower diluted yield.
If dilution fields are not reliable for a ticker, the script falls back to the base yield.
Plotting
Two series are shown:
FCF Yield Net: plotted as columns (bars)
FCF Yield Diluted: plotted as an area overlay
This makes it easy to see:
Step changes when new quarter data arrives
Whether dilution meaningfully reduces the yield
Labels (Per-bar)
When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level.
Important technical point:
Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting:
str.tostring(fcfYieldDiluted / 100, format.percent)
Rolling History & Averages
1) Rolling storage
The script maintains a rolling array of the most recent 40 quarterly values:
40 quarters ≈ 10 years
Each time a non-NA quarterly yield appears:
It pushes it into the array
If array length exceeds 40, it removes the oldest value
2) Trailing averages (quarter windows)
Averages are computed over the most recent N quarters:
1Q (latest quarter value)
4Q ≈ 1 year
8Q ≈ 2 years
20Q ≈ 5 years
40Q ≈ 10 years
If fewer than N values exist, that average is na.
End-of-chart Summary Label
On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above.
Placement logic
The label is positioned slightly to the right of the current bar:
Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future.
frequencyUnit is computed as:
frequencyUnit
≈
Seconds in 12 months
Seconds per chart bar
÷
4
frequencyUnit≈
Seconds per chart bar
Seconds in 12 months
÷4
This is only for visual spacing, not calculation correctness.
Limitations / Notes
The yield series is “step-like” and updates only when new quarterly fundamentals are available.
For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield.
EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.
XAUUSD 15m - Clean Signals (Anti-Spam v3)This **XAUUSD 15m – Clean Signals (Anti-Spam v3)** is a trend-aligned signal indicator built around an **EMA basis + ATR channel**. It aims to produce **fewer but cleaner** long/short prompts. A 7-EMA acts as the basis line, ATR forms inner/outer bands, and a 50-EMA provides a trend filter. By default, it uses **ADX strength filtering** plus a **confirmation candle** rule to avoid choppy conditions and weak breakouts. Signals come in three types: **DR (pullback → reversal back above/below the basis)**, **MR (pierce the inner band then reclaim it)**, and **BO (inner-band breakout, off by default due to over-triggering)**. To control frequency, it adds a **cooldown (minimum bars between signals)** and a strict **arming/reset de-duplication**: after a same-direction signal fires, it won’t fire again until price “resets” by touching the inner band or the basis (user-selectable). A “room to outer band” filter helps prevent chasing near extremes. Overall, it’s designed for disciplined 15-minute momentum-pullback entries, especially during liquid sessions like London.
4H Session High/Low4H Asia Session Anchor Range Description: This indicator identifies and plots the price range of the specific 4-hour candle starting at 04:00 (local time). By utilizing Multi-Timeframe (MTF) logic, the high and low boundaries (wick-to-wick) remain fixed and accurate even when scaling down to lower timeframes like the 1-minute or 5-minute charts. The levels extend horizontally to the right, providing clear institutional support and resistance zones based on the early morning volatility.
MTF 4MA Direction Dashboard and TF AlignmentThe MTF 4MA Direction Dashboard is a multi-timeframe trend-alignment tool designed to answer one core trading question:
Are higher and lower timeframes pointing in the same direction — and how strong is that alignment?
Instead of relying on a single chart timeframe, this indicator evaluates directional consistency across five timeframes simultaneously using a fast 4-period moving average. The result is a weighted directional score, expressed as Bull/Bear percentages and summarized with a clear letter grade and interpretation.
This makes the indicator ideal as a trend filter, bias confirmation tool, or higher-timeframe context engine for discretionary and systematic traders alike.
How It Works
For each selected timeframe (default: 1H, 4H, 1D, 1W, 1M):
A 4-period moving average is calculated (user-selectable MA type).
The indicator determines direction by comparing the current MA value to the prior bar:
Rising MA → Bullish
Falling MA → Bearish
Each timeframe contributes to a weighted score, allowing higher timeframes to carry more influence if desired.
The combined result is converted into:
Bull %
Bear %
Letter Grade (A–F)
Plain-English interpretation
All results are displayed in a compact, customizable on-chart dashboard.
Dashboard Metrics Explained
Aligned TFs
Shows how many timeframes are bullish vs bearish.
Bull % / Bear %
Weighted directional confidence across all timeframes.
Grade (A–F)
A structured summary of alignment strength:
A → Strong bullish alignment
B → Constructive bullish bias
C → Transitional / mixed conditions
D → Weak structure
F → Bearish or poorly aligned
Grade Condition & Interpretation
Explicit thresholds and a clear contextual reading of current market structure.
How to Use This Indicator
This is not an entry signal by itself.
It is best used as a context and confirmation tool.
Common use cases include:
✅ Trend Filtering
Only take long trades when Bull % is elevated (e.g., Grade A or B).
✅ Multi-Timeframe Confirmation
Confirm that lower-timeframe setups agree with higher-timeframe structure.
✅ Bias Control
Reduce over-trading during mixed or transitional conditions (Grade C/D).
✅ Risk Management Context
Scale position size or aggressiveness based on alignment strength.
Ideal Trading Conditions
This indicator performs best in:
Trending or structurally developing markets
Swing trading and position trading
Higher-timeframe-aware intraday strategies
Markets where directional follow-through matters more than noise
During highly choppy or mean-reverting conditions, grades will naturally compress toward the middle — providing a visual cue to reduce directional exposure.
Customization & Controls
Select MA type (SMA, EMA, RMA, WMA)
Adjust timeframe importance via custom weights
Fully customizable table colors and position
Toggle dashboard visibility on/off
This flexibility allows the indicator to be adapted to different assets, trading styles, and risk preferences.
Final Notes
The MTF 4MA Direction Dashboard is designed to bring clarity to multi-timeframe analysis by transforming raw directional data into a structured, readable decision framework.
Use it to align trades with structure, avoid fighting dominant trends, and maintain consistency across timeframes.
KAMA Momentum Extension WarningKAMA Momentum Extension Warning (Parabolic Exit)
Description This indicator is designed for Momentum & Trend Following strategies. Its primary goal is to identify "Parabolic Blow-Off" tops—moments where price moves vertically away from the trend, creating an unsustainable "rubber band" effect.
While standard trend-following tools (like moving averages) tell you when to enter or hold, this tool tells you exactly when to take profit into strength before a likely crash.
Visual Signals
Blue Line (KAMA 21): The "Floor." This represents the sustainable trend. In a healthy move, price should hug this line.
Orange Line (Extension Limit): The "Ceiling." This is calculated as KAMA + (ATR * Multiplier). It represents the mathematical limit of a normal move.
Yellow Candles: The "Climax Signal."
This triggers when the High of the day pierces the Orange Extension Limit.
It indicates the price is statistically over-extended (vertical).
How to Trade It
Trend Following: As long as candles are "Normal" colored and above the Blue Line, hold the position.
The Warning: If a candle paints Yellow, the stock has gone parabolic.
The Execution:
Sell 50% of the position immediately (do not wait for the close).
Tighten the stop loss on the remaining shares to the Low of the Previous Day.
Settings / Inputs
KAMA Length (Default: 21): Controls the baseline trend. Increase for longer-term trends, decrease for faster entries.
ATR Length (Default: 21): The volatility lookback period (usually matches the KAMA length).
Extension Multiplier (Default: 3.5): The "Sensitivity."
3.5 - 4.0: Best for volatile "Super Stocks" (Crypto, Biotech, Tech).
2.5 - 3.0: Best for slower, large-cap stocks.
Tip: Adjust in 0.1 increments to fit the specific stock's personality.
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow - |K| |A| |E| |F|
KAE Flow is a quantitative trend-aggregation engine designed to determine the dominant market bias by fusing three distinct market dimensions: Volatility, Trend Strength, and Volume.
This script does not rely on a single metric. Instead, it creates a composite "Flow" score derived from the Daily timeframe to act as a high-level bias filter for intraday or swing trading.
1. The Quantitative Logic (The Engine)
The core of this indicator is the KAE Engine, which polls data from the Daily timeframe (by default) to ensure you are always trading in alignment with the macro trend. It aggregates three logical components:
K (Keltner Channels): Measures Volatility Breakouts.
Logic: Returns bullish if price closes above the Upper Channel, bearish if below the Lower Channel. This captures the expansion phase of price action.
A (Aroon): Measures Trend Age & Strength.
Logic: Returns bullish only if the Aroon Up is > 70 and dominating the Aroon Down. This ensures the trend is not just present, but mathematically strong.
E (Elder’s Force Index): Measures Volume-Weighted Momentum.
Logic: Uses volume pressure to confirm price moves. Positive smoothed force indicates bullish accumulation.
2. Signal Processing (ALMA)
Raw data is noisy. The KAE Flow takes the aggregated raw score from the components above and runs it through an ALMA (Arnaud Legoux Moving Average).
Why ALMA? It offers the best balance between smoothness and responsiveness, removing "false flips" in the trend bias while reacting quickly to genuine reversals.
The Color (The Bias):
Deep Blue: Strong Bullish Flow (KAE Score > 0.1). Look for Long entries .
White: Strong Bearish Flow (KAE Score < -0.1). Look for Short entries.
Gray: Neutral/Transition. Volatility is contracting or the trend is conflicting.
5. Settings & Configuration
Keltner/Aroon/EFI Lengths: Fully customizable to fit different asset classes (Crypto vs. Forex).
Active Smoothing: Toggle ALMA on/off.
Active Components: You can toggle specific engines (K, A, or E) on or off. Default uses Keltner + Aroon for a pure Price/Time analysis.
Risk Warning: This indicator pulls higher-timeframe data (Daily) to color lower-timeframes. While this provides a powerful macro view, be aware that closed candle data is used to prevent repainting issues in real-time.
D_Quant --- Trade With Discipline
SMC Buy and Sell Signals By Amit NamdeoSMC Buy and Sell Signals
Overview
The SMC Buy and Sell Signals indicator is a comprehensive trading tool designed to identify high-probability setups based on Smart Money Concepts (SMC) and Market Structure principles. It automates the detection of structural breaks—specifically Break of Structure (BOS) and Change of Character (CHoCH)—to generate clear Buy and Sell signals.
Beyond simple signal generation, this tool assists with trade management by automatically projecting Stop Loss (SL) and three distinct Take Profit (TP) levels immediately after a breakout is confirmed, helping traders maintain a disciplined Risk-to-Reward ratio.
Key Features
Automated Market Structure Identification:
The script dynamically identifies Pivot Highs and Pivot Lows based on a user-defined Swing Size.
It differentiates between trend continuations (BOS) and potential trend reversals (CHoCH).
Buy & Sell Signals:
Bullish Signal: Generated when price breaks above a valid structural high.
Bearish Signal: Generated when price breaks below a valid structural low.
Dynamic Trade Management (Auto TP & SL):
Upon a signal, the indicator immediately plots an Entry, Stop Loss, and 3 Take Profit levels.
TP1 (Conservative): Closest target.
TP2 (Moderate): Middle target.
TP3 (Aggressive): Furthest target based on a 1:3 Risk/Reward profile relative to the calculated volatility.
Live Statistics Dashboard:
A table displayed on the chart tracks the performance of the signals in real-time, showing the Total Signals generated and the Win Rate for hitting TP1, TP2, and TP3.
Visual Trend Confirmation:
Candles are colored based on the active trade status (Bullish Green or Bearish Red), making it easy to identify the current market bias at a glance.
Comprehensive Alerts:
Fully integrated alerts for Signal detection, TP hits, and SL hits, allowing for automated trading notifications.
How It Works
Pivot Detection: The indicator looks back and forward a specific number of bars (defined by Market Structure Time-Horizon) to find significant high and low points.
Breakout Confirmation: You can choose to confirm a breakout based on the Candle Close (more conservative) or the Wick (more aggressive).
Level Calculation:
The distance for targets is calculated based on the volatility of the breakout move.
SL is placed just below/above the breakout structure.
TPs are projected in the direction of the breakout using a tiered structure.
Settings
Market Structure Time-Horizon: Adjusts the sensitivity of the pivot detection. Higher numbers result in fewer but more significant signals (swing trading); lower numbers are better for scalping.
BOS Confirmation Type:
Candle Close: Price must close beyond the structure to trigger a signal.
Wicks: A wick piercing the structure triggers a signal.
Show CHoCH: Toggles the specialized labels for Change of Character (trend reversals).
Visualization: Fully customizable colors for Bullish and Bearish setups.
How to Use
Trend Trading: Use BOS signals to add to positions in the direction of the prevailing trend.
Reversal Trading: Watch for CHoCH labels to catch early trend reversals.
Risk Management: Use the projected SL and TP lines to set your orders. The statistics table will help you understand the probability of price reaching TP1 vs TP3 on the current asset/timeframe.
Double Supertrend + DEMA + Split Exits by Amit NamdeoStrategy Overview
This is a Trend-Following Confluence Strategy. Instead of relying on a single indicator, it requires three different technical layers to agree before entering a trade. This helps filter out "fake outs" (false signals) that often happen in choppy markets.
1. The Indicators Used
Supertrend 1 (Standard): Detects the immediate trend direction.
Default: ATR 10, Factor 3.0
Supertrend 2 (Confirmation): Acts as a second opinion.
Default: ATR 14, Factor 2.0
DEMA (Trend Filter): A 200-period Double Exponential Moving Average. It acts as the "Traffic Light" for the overall market direction.
Rule: You only trade in the direction of the DEMA.
2. Trading Rules
🟢 LONG (Buy Signal)
You enter a Buy position only when ALL three conditions are met simultaneously:
Supertrend 1 is GREEN (Uptrend).
Supertrend 2 is GREEN (Uptrend).
Price is ABOVE the DEMA line (Ensures you are in a long-term bull market).
Note: If the DEMA checkbox is disabled, only the first two rules apply.
🔴 SHORT (Sell Signal)
You enter a Sell position only when ALL three conditions are met simultaneously:
Supertrend 1 is RED (Downtrend).
Supertrend 2 is RED (Downtrend).
Price is BELOW the DEMA line (Ensures you are in a long-term bear market).
❌ EXIT Rules (The "Mismatch" Logic)
This is the safety mechanism of the strategy. Instead of waiting for a full trend reversal (which might result in giving back too much profit), the strategy exits as soon as the trend shows weakness.
Exit Buy: Triggered if you are in a Long position and the two Supertrends disagree (one turns Red while the other is still Green).
Exit Sell: Triggered if you are in a Short position and the two Supertrends disagree (one turns Green while the other is still Red).
3. Why this is better than a standard Supertrend?
Fewer False Signals: A single Supertrend often flips back and forth during sideways markets. By requiring two Supertrends to agree + price to be on the correct side of the DEMA, you avoid many bad trades.
Faster Exits: Standard strategies often wait for the Supertrend to flip completely to the opposite color to exit. This strategy exits on the first sign of disagreement, effectively tightening your stop-loss as the trend matures.
4. Visual Guide
Green "BUY" Label: Start of a Long Trade.
Red "SELL" Label: Start of a Short Trade.
Red "X" (Exit Buy): Close your Long trade (Take profit or cut loss).
Green "X" (Exit Sell): Close your Short trade.
Purple Line: The DEMA Filter.
Background: Green or Red shading appears only when a trade is active.
Volume Profile Visible Range (VPVR) with POC PriceThis script visualizes volume distribution for the bars currently visible on your chart, helping you identify key liquidity zones and high-traffic price levels.
Main Features:
・Dynamic Range: Recalculates automatically as you zoom or scroll.
・POC Price Label: Highlights the Point of Control (highest volume) with a clear price tag.
・Value Area (VA): Visually separates the most active trading zone (default 70%).
・Highly Flexible: Choose your preferred layout (Left or Right) and colors.
How to use:
1. Spot S/R Levels: Look for long bars (High Volume Nodes); these often act as strong support or resistance.
2. Monitor the POC: The Point of Control is a price magnet. Watch for reactions or retests at this level.
3. Low Volume Gaps: Price tends to move quickly through areas with very short volume bars.
Live Candle Range Position SizerThis script displays a fixed execution HUD on the chart that continuously measures the current candle range (high–low) and automatically calculates position size based on a fixed Risk Unit (RU).
4 EMA Perfect Order + Strength + MTFリリースノート
🇯🇵 日本語説明文
📌 スクリプト概要
このスクリプトは、EMA10・20・40・80 を使用して「パーフェクトオーダー（PO）」を判定し、
PO が確定したタイミングで矢印とアラートを表示します。
さらに、PO の強さ（短期と長期 EMA の乖離率）を数値化して表示し、
上位足（MTF）でも同様の判定と強さ表示が可能です。
🔧 機能一覧
• EMA10/20/40/80 のライン表示（黒・赤・オレンジ・青）
• パーフェクトオーダー（Bull/Bear）の自動判定
• PO 確定時に矢印（▲/▼）を表示
• PO の強さ（乖離率）をリアルタイム表示
• 上位足（MTF）での PO 判定と強さ表示
• アラート条件付き（Bull/Bear PO 確定時）
• 背景は白で視認性を重視
📈 パーフェクトオーダーとは？
• Bull PO（上昇トレンド）
EMA10 > EMA20 > EMA40 > EMA80
• Bear PO（下降トレンド）
EMA10 < EMA20 < EMA40 < EMA80
PO が確定したバーで矢印とアラートが発生します。
🧠 活用例
• PO の強さを使ってトレンドの勢いを測定
• 上位足の PO と一致しているか確認して精度を向上
• トレンドフォロー戦略のフィルターとして利用
• EMA の並びが崩れたら背景色を塗るなどの拡張も可能
🇺🇸 English Description
📌 Overview
This script detects “Perfect Order” (PO) conditions using EMA10, EMA20, EMA40, and EMA80.
When a PO is confirmed, it displays arrows and triggers alerts.
It also calculates the strength of the PO (based on EMA divergence) and supports multi‑timeframe (MTF) analysis.
🔧 Features
• Displays EMA10/20/40/80 with color coding (black, red, orange, blue)
• Detects Bull and Bear Perfect Order conditions
• Shows arrows (▲/▼) when PO is confirmed
• Displays PO strength as a percentage (EMA10 vs EMA80 divergence)
• Supports MTF PO detection and strength display
• Includes alert conditions for Bull/Bear PO confirmation
• Clean white background for better visibility
📈 What is a Perfect Order?
• Bull PO (Uptrend): EMA10 > EMA20 > EMA40 > EMA80
• Bear PO (Downtrend): EMA10 < EMA20 < EMA40 < EMA80
Arrows and alerts are triggered only when the PO condition is newly confirmed.
🧠 Use Cases
• Measure trend momentum using PO strength
• Confirm alignment with higher timeframe trends
• Use as a trend‑following filter
• Can be extended with background coloring or histogram strength display
