Bollinger BandsThis indicator is a locked Bollinger Band system designed around a long-term volatility envelope. It uses an EMA(100) as the central “basis” line and builds the upper and lower bands at 3.5 standard deviations from the basis, creating a wide channel that highlights extreme price expansion rather than frequent mean-reversion touches. In addition to the standard bands, the script plots two intermediate guide lines located at 33.33% of the distance from the basis toward the upper and lower bands. These 1/3-zone lines help visually segment the band into core, mid, and extreme areas, making it easier to judge how far price has stretched relative to the EMA and current volatility. Traders can use the basis as a trend reference, the 33.33% lines as “early extension” or pullback checkpoints, and the outer bands as high-stretch boundaries for risk management, scaling, and contextual decision-making on intraday charts.
Indikatoren und Strategien
eBacktesting - Learning: Trend LineseBacktesting - Learning: Trend Lines helps you spot clean trend lines automatically, using real swing points (highs/lows) and confirming a line only after it’s “respected” multiple times.
What you’ll see on the chart
- Uptrend lines (support) when price is making higher lows
- Downtrend lines (resistance) when price is making lower highs
- A simple way to study structure, spot “respect” of a trend line, and understand when a trend may be weakening
- Trend line breaks are based on candle closes, not just quick wicks, so the signals are clearer
You can also keep a few older lines on the chart, making it easy to review past reactions and build pattern recognition.
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
eBacktesting - Learning: Support & ResistanceeBacktesting - Learning: Support & Resistance helps you spot the price levels where the market repeatedly reacts, bounces, or rejects — the classic “floors” (support) and “ceilings” (resistance) that many day traders use to plan entries, stops, and targets.
This indicator automatically marks historical support and resistance levels right where they formed, so you can scroll back and study how price respected (or broke) those zones over time. It also highlights important moments when a level is broken, showing you how a broken resistance can later act like support (and vice-versa).
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
KCP Double Top/Bottom + VWAP + EMA 200 [Dr. K. C. Prakash]📌 **KCP Double Top/Bottom + VWAP + EMA 200
**
KCP Double Top/Bottom + VWAP + EMA 200 is a price-action–based professional reversal indicator designed to identify high-probability Double Top (DT) and Double Bottom (DB) patterns, filtered with VWAP and EMA 200 for strong trend confirmation.
🔍 What This Indicator Does
Automatically detects Double Top (M-pattern) and Double Bottom (W-pattern) structures
Confirms reversals using VWAP (institutional price benchmark)
Filters trades with EMA 200 to stay aligned with the dominant trend
Visually draws pattern structure + neckline
Highlights filled reversal zones for instant clarity
Generates clear BUY / SELL labels only when conditions are strong
🧠 Trading Logic (Simple Explanation)
🔴 Double Top – SELL
Two swing highs at almost the same price (M-shape)
Price breaks below the neckline
Price below VWAP
Price below EMA 200
→ DT SELL signal appears
🟢 Double Bottom – BUY
Two swing lows at almost the same price (W-shape)
Price breaks above the neckline
Price above VWAP
Price above EMA 200
→ DB BUY signal appears
🎯 Why VWAP & EMA 200 Are Used
VWAP confirms institutional bias (smart-money direction)
EMA 200 confirms long-term trend strength
Together they eliminate false reversals and sideways traps
👁️ Visual Features
✔ M & W structure lines
✔ Dashed neckline
✔ Filled pattern zones (Red for DT, Green for DB)
✔ Large, clear BUY / SELL labels
✔ Clean and professional chart appearance
📊 Best Use Cases
Intraday trading (5-min, 15-min)
Swing trading
Index trading (NIFTY, BANKNIFTY)
Stock & Futures charts
Works best during trending markets
⚠️ Important Note
This indicator focuses on quality over quantity.
Signals are fewer, but high-probability and trend-aligned.
🏆 Ideal For Traders Who
Trade price-action patterns
Avoid false signals
Follow trend + structure
Prefer clean, rule-based entries
Ichimoku + EMA + RSI [Enhanced]# **Ichimoku + EMA + RSI Strategy - User Instructions**
---
## **📋 TABLE OF CONTENTS**
1. (#installation)
2. (#strategy-overview)
3. (#parameter-configuration)
4. (#understanding-the-dashboard)
5. (#entry--exit-rules)
6. (#best-practices)
7. (#optimization-guide)
8. (#troubleshooting)
---
## **🚀 INSTALLATION**
### **Step 1: Add to TradingView**
1. Open TradingView.com
2. Click **Pine Editor** (bottom of screen)
3. Click **"New"** → Select **"Blank indicator"**
4. Delete all default code
5. **Copy and paste** the complete script
6. Click **"Save"** (give it a name: "Ichimoku EMA RSI Strategy")
7. Click **"Add to Chart"**
### **Step 2: Verify Installation**
✅ You should see:
- Orange **200 EMA** line
- Blue **Tenkan** line
- Red **Kijun** line
- Green/Red **Cloud** (Ichimoku cloud)
- **Dashboard** in top-right corner
- **Strategy Tester** tab at bottom
---
## **📊 STRATEGY OVERVIEW**
### **What This Strategy Does**
Combines three powerful technical indicators to identify high-probability trades:
| Component | Purpose |
|-----------|---------|
| **200 EMA** | Determines overall trend direction |
| **Ichimoku Cloud** | Provides support/resistance and momentum |
| **RSI** | Filters momentum strength |
| **Dashboard** | Real-time signal analysis |
### **Trading Logic**
- **LONG**: Enter when all bullish conditions align
- **SHORT**: Enter when all bearish conditions align
- **EXITS**: Automatic via trailing stops, cloud breach, or TK cross reversal
---
## **⚙️ PARAMETER CONFIGURATION**
### **🔵 Trend Filter Settings**
```
EMA Length: 200 (default)
```
- **Lower (100-150)**: More sensitive, faster signals
- **Higher (250-300)**: More stable, slower signals
- **Recommendation**: Keep at 200 for most timeframes
---
### **🟢 RSI Settings**
```
RSI Length: 14 (default)
RSI Long Minimum: 55
RSI Short Maximum: 45
```
**Adjustment Guide:**
- **Aggressive** (more signals): Long=50, Short=50
- **Balanced** (default): Long=55, Short=45
- **Conservative** (fewer signals): Long=60, Short=40
---
### **🟡 Ichimoku Settings**
```
Tenkan Period: 9
Kijun Period: 26
Senkou B Period: 52
Displacement: 26
```
**Standard Configurations:**
| Timeframe | Tenkan | Kijun | Senkou B |
|-----------|--------|-------|----------|
| **1H - 4H** | 9 | 26 | 52 |
| **15m - 1H** | 7 | 22 | 44 |
| **Daily** | 9 | 26 | 52 |
**Filters:**
- ✅ **Require Chikou Confirmation**: Adds extra validation (recommended)
- ✅ **Require Cloud Position**: Price must be above/below cloud (recommended)
---
### **🔴 Risk Management**
```
ATR Length: 14
ATR Stop Loss Multiplier: 2.0
ATR Take Profit Multiplier: 3.0
Min Bars Between Trades: 3
```
**Risk/Reward Profiles:**
| Profile | SL Multiplier | TP Multiplier | Description |
|---------|---------------|---------------|-------------|
| **Conservative** | 2.5 | 4.0 | Wider stops, higher R:R |
| **Balanced** | 2.0 | 3.0 | Default settings |
| **Aggressive** | 1.5 | 2.5 | Tighter stops, faster exits |
---
### **🎨 Display Settings**
```
Show Dashboard: ON
Show Entry Signals: ON
```
- **Dashboard**: Shows real-time analysis
- **Entry Signals**: Green/Red arrows on chart
---
## **📈 UNDERSTANDING THE DASHBOARD**
### **Dashboard Components**
```
┌─────────────────────┬──────────┐
│ Component │ Status │
├─────────────────────┼──────────┤
│ EMA Trend │ BULL/BEAR│
│ Cloud │ ABOVE/BELOW/INSIDE│
│ TK Cross │ BULL/BEAR│
│ RSI │ 55.3 │
│ Chikou │ BULL/BEAR│
│ Signal │ STRONG LONG│
└─────────────────────┴──────────┘
```
### **Signal Interpretation**
| Signal | Score | Meaning | Action |
|--------|-------|---------|--------|
| **STRONG LONG** | 7+ | All conditions aligned | High confidence LONG |
| **LONG** | 4-6 | Most conditions met | Moderate confidence |
| **NEUTRAL** | <4 | Mixed signals | Wait for clarity |
| **SHORT** | 4-6 | Bearish bias | Moderate SHORT |
| **STRONG SHORT** | 7+ | All bearish conditions | High confidence SHORT |
---
## **📍 ENTRY & EXIT RULES**
### **✅ LONG ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **above** 200 EMA
2. ✅ Price **above** Ichimoku Cloud
3. ✅ Tenkan **crosses above** Kijun (TK Bull Cross)
4. ✅ RSI **above** 55
5. ✅ Chikou **above** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🟢 Green triangle **below** candle
- Dashboard shows **"STRONG LONG"**
---
### **❌ LONG EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **below** cloud bottom
2. ❌ Tenkan **crosses below** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
### **✅ SHORT ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **below** 200 EMA
2. ✅ Price **below** Ichimoku Cloud
3. ✅ Tenkan **crosses below** Kijun (TK Bear Cross)
4. ✅ RSI **below** 45
5. ✅ Chikou **below** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🔴 Red triangle **above** candle
- Dashboard shows **"STRONG SHORT"**
---
### **❌ SHORT EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **above** cloud top
2. ❌ Tenkan **crosses above** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
## **💡 BEST PRACTICES**
### **Recommended Timeframes**
| Timeframe | Trading Style | Signals/Week |
|-----------|---------------|--------------|
| **15m** | Scalping | 20-30 |
| **1H** | Day Trading | 10-15 |
| **4H** | Swing Trading | 5-10 |
| **Daily** | Position Trading | 2-5 |
---
### **Asset Classes**
✅ **Best Performance:**
- Major Forex pairs (EUR/USD, GBP/USD)
- Crypto (BTC/USD, ETH/USD)
- Major indices (SPX, NAS100)
⚠️ **Use Caution:**
- Low liquidity pairs
- Highly volatile altcoins
- Stocks with gaps
---
### **Risk Management Rules**
```
1. Never risk more than 2% per trade
2. Use the built-in ATR stops (don't override)
3. Respect the "Min Bars Between Trades" cooldown
4. Don't trade during major news events
5. Monitor dashboard - only trade STRONG signals
```
---
## **🔧 OPTIMIZATION GUIDE**
### **Step 1: Run Initial Backtest**
1. Open **Strategy Tester** tab (bottom of screen)
2. Set date range (minimum 6 months)
3. Review:
- **Net Profit**
- **Win Rate** (target: >50%)
- **Profit Factor** (target: >1.5)
- **Max Drawdown** (target: <20%)
---
### **Step 2: Optimize Parameters**
**If Win Rate is Low (<45%):**
- Increase RSI thresholds (Long=60, Short=40)
- Enable both Chikou + Cloud filters
- Increase "Min Bars Between Trades" to 5
**If Too Few Signals:**
- Decrease RSI thresholds (Long=50, Short=50)
- Reduce EMA to 150
- Adjust Ichimoku to faster settings (7/22/44)
**If Drawdown is High (>25%):**
- Increase ATR Stop Loss Multiplier to 2.5
- Add longer cooldown period (5+ bars)
- Trade only STRONG signals
---
### **Step 3: Forward Test**
```
1. Paper trade for 2-4 weeks
2. Compare results to backtest
3. Adjust if live results differ significantly
4. Only go live after consistent paper trading success
```
---
## **🛠️ TROUBLESHOOTING**
### **Problem: No Signals Appearing**
**Solutions:**
- Check RSI levels aren't too restrictive
- Verify timeframe is appropriate (try 1H or 4H)
- Ensure both filters aren't enabled on ranging markets
- Review dashboard - components may be conflicting
---
### **Problem: Too Many Losing Trades**
**Solutions:**
- Enable **both** Chikou + Cloud filters
- Increase RSI thresholds (more conservative)
- Only trade when dashboard shows "STRONG" signals
- Increase cooldown period to avoid overtrading
---
### **Problem: Dashboard Not Showing**
**Solutions:**
- Verify "Show Dashboard" is enabled in settings
- Check chart isn't zoomed out too far
- Refresh chart (F5)
- Re-add indicator to chart
---
### **Problem: Stops Too Tight/Wide**
**Solutions:**
- **Too Tight**: Increase ATR Stop Loss Multiplier to 2.5-3.0
- **Too Wide**: Decrease to 1.5-1.8
- Verify ATR Length is appropriate for timeframe
- Consider asset volatility (crypto needs wider stops)
---
## **📞 QUICK REFERENCE CARD**
```
═══════════════════════════════════════════════════
STRATEGY QUICK REFERENCE
═══════════════════════════════════════════════════
BEST TIMEFRAMES: 1H, 4H, Daily
BEST ASSETS: Major Forex, BTC, ETH, Indices
RISK PER TRADE: 1-2% of capital
LONG ENTRY:
✓ Price > 200 EMA
✓ Price > Cloud
✓ TK Bull Cross
✓ RSI > 55
✓ Dashboard = STRONG LONG
SHORT ENTRY:
✓ Price < 200 EMA
✓ Price < Cloud
✓ TK Bear Cross
✓ RSI < 45
✓ Dashboard = STRONG SHORT
EXITS:
× Cloud breach
× TK reverse cross
× ATR trailing stop
× Take profit (3:1 R:R)
═══════════════════════════════════════════════════
```
---
## **⚠️ DISCLAIMER**
This strategy is for **educational purposes only**. Always:
- Backtest thoroughly on your specific assets
- Paper trade before going live
- Never risk more than you can afford to lose
- Past performance ≠ future results
- Consider market conditions and your risk tolerance
---
**Happy Trading! 📈**
TradingView — Track All Markets
Where the world charts, chats, and trades markets. We're a supercharged super-charting platform and social network for traders and investors. Free to sign up.
EMA 8 48 System v1Short Description:
A trend-following indicator using EMA crossovers, ATR-based volatility filter, and a cooldown period to reduce false signals. Designed for clear buy/sell signals in trending markets.
Full Description:
What is this indicator?
This script implements a dual EMA crossover system (8-period and 48-period EMAs) with a trend filter (EMA200), ATR-based volatility filter, and a cooldown period to avoid overtrading.
It visually plots EMAs, buy/sell signals, and ATR-based stop loss/target levels.
Why is it useful?
Helps traders identify high-probability trend entries and avoid choppy, low-volatility conditions.
Reduces false signals by requiring trend confirmation, sufficient volatility, and spacing out trades.
Suitable for intraday and swing trading on most liquid assets.
When to use:
Best used in markets showing clear trends (not sideways).
Works on most timeframes, but higher timeframes (15m, 1h, 4h, daily) tend to give more reliable signals.
How to spot buy and sell:
Buy: Green “BUY” label appears when EMA8 crosses above EMA48, price is above EMA200, and ATR is above the minimum threshold.
Sell: Red “SELL” label appears when EMA8 crosses below EMA48, price is below EMA200, and ATR is above the minimum threshold.
ATR-based stop loss and target levels are plotted for each signal.
Additional tips:
Adjust the minimum ATR and cooldown settings to match your asset’s volatility and your trading style.
Use in conjunction with price action or higher timeframe analysis for best results.
Avoid trading during low volatility or sideways markets, as signals may be less reliable.
Always backtest and forward-test before using live.
How to add signals and update settings:
Use the script’s input panel to adjust EMA lengths, ATR settings, minimum ATR, and cooldown period.
To add alerts, use TradingView’s “Add Alert” feature and select the buy or sell conditions from the script’s alert options.
For further customization, you can edit the script to add additional filters or notification logic.
This indicator is for educational purposes only. Always use proper risk management and do your own research before trading.
Disclaimer:
This script is for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Trading involves risk. Past performance is not indicative of future results. Always do your own research and use proper risk management.
The author is not responsible for any losses incurred from the use of this script. By using this script, you agree to take full responsibility for your trading decisions.
Buy Strategy by SBBuy strategy at high of highlighted candles .This will give target of 5 points at 5min time frame and 5 points sl
PLOW/PLHW (Potential weekly highs/lows)AP Capital – PLOW / PLHW (Potential Weekly Low / High)
This indicator highlights Potential Weekly Lows (PLOW) and Potential Weekly Highs (PLHW) in real time, using current-week price action, session context, and confirmed candle closes.
It is designed for intraday and swing traders who want early-week and late-week structure levels without repainting or hindsight bias.
🔹 How It Works
Potential Weekly Low (PLOW)
Detected during early week sessions
Triggers when price prints the current week’s lowest low
Confirmed only on candle close
Typically aligns with liquidity grabs, stop runs, or accumulation
Potential Weekly High (PLHW)
Detected during late week sessions
Triggers when price prints the current week’s highest high
Confirmed only on candle close
Often marks distribution or exhaustion zones
📊 Visual Elements
Clean weekly high & low levels
Optional weekly midpoint
Session-aware confirmation
Non-repainting labels
Minimalist layout (no clutter)
⚙️ Key Features
Works on any intraday timeframe
Fully non-repainting
Session-based logic (early vs late week)
Optional weekly range info panel
Suitable for Gold, FX, Indices, Crypto
🧠 Best Use Cases
Fade moves into weekly extremes
Combine with:
Previous Day High / Low
Liquidity sweeps
Market structure shifts
Identify high-probability reversals
Avoid chasing price late in the week
⚠️ Important Notes
This is NOT predictive — levels are confirmed from live price action
Best used as context, not a standalone entry system
Designed to complement price action & liquidity-based trading
📌 Disclaimer
This indicator is for educational purposes only.
Not financial advice. Always manage risk.
Sarina - EMA Dynamic -01112026This script creates a Dynamic Adaptive EMA System that goes beyond traditional moving averages by adjusting its "length" (lookback period) in real-time based on price action.Core MechanismUnlike standard EMAs with fixed periods, this indicator uses variable lengths ($c1$ and $c2$).Acceleration: When price moves aggressively, the EMA lengths increase or decrease dynamically to track the trend more closely.Time-Based Deceleration: It includes a unique feature where the "speed" of these adjustments decays every 30 seconds to prevent the indicator from becoming too erratic during high-volatility spikes.Signal Logic (The "No-Summary" System)The system categorizes signals into two tiers:S-Signals (Small): Occur when the baseline EMA (9) stabilizes above/below the Fast Dynamic EMA (13).P-Signals (Power): Occur when the baseline EMA (9) stabilizes above/below the Slow Dynamic EMA (34).Noise Reduction FeaturesTo ensure high-quality entries, the code employs two filters:Stabilization Filter (conf_bars): Price (via the 9 EMA) must hold its position for a specific number of candles before a label appears. This acts as a "shock absorber" against sudden wicks.Proximity Filter (signal_filter_window): It prevents "signal clustering" by enforcing a minimum candle distance between consecutive buy or sell labels.Visual Output: You will see a color-coded cloud between the two dynamic EMAs and a real-time Status Table in the top-right corner showing the current calculated lengths of your averages.
MA Zone Candle Color 8.0This indicator plots a selected moving average (any type: EMA, VWAP, HMA, ALMA, custom composites, RVWAP, etc.) and creates a symmetrical grid of horizontal levels/bands spaced at precise, predefined increments around it. The spacing between levels can be set in two modes:
Percent (%) of the current MA value
Points (fixed price units)
The available increment sizes follow a specific geometric-like sequence (very similar to Gann square-of-9 derived steps), giving you clean, repeatable distance choices such as 0.61, 1.22, 2.44, 4.88, 9.77 points (or their percentage equivalents).
Core purpose
It visually marks exactly how far price has moved away from your chosen moving average — in multiples of the increment you selected.
Main practical use cases -
1. Measuring distance from key reference level
VWAP or EMA(20–89), Points mode, 1.22–4.88 incr.
"Price is currently 3.5 increments above VWAP" → quick context for context
2. Identifying structured price levels
Points mode + 2.44 or 4.88 increment
Treat every band as potential support/resistance or target zone
3. Comparing extension size across instruments
Percent mode, same increment value across symbols
Makes extensions visually comparable (BTC vs ETH vs SPX vs NQ)
4. Session / intraday structure mapping
RVWAP or session VWAP + Points mode
See how many "steps" price has made since session open / reset
5. Setting objective take-profit / scale-out levels
Any MA + medium increment (4.88–19.53 points)
"I'll take partials at +2×, +4×, +6× increment" — very mechanical
6. Volatility-adjusted grid (crypto/forex)
Points mode with larger increments
Prevents bands from becoming too wide/narrow during huge volatility swings
Most common combo
MA: VWAP or RVWAP (session/day reset)
Mode: Points
Increment: 1.220704 or 2.441408 or 4.8828125
Bands per side: 30–60
→ Creates a clean, evenly-spaced ladder of levels around the daily/intraday average that traders can use purely for distance measurement and objective level marking.
In short:
It's a very precise, repeatable distance ruler built around any moving average you choose — nothing more, nothing less.
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.
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.
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.
Vix FIX dotsDescription
Vix FIX Dots is a momentum and volatility-based trend-following tool. It combines the classic Williams VIX Fix logic with Stochastic and RSI filters to identify high-probability reversal points and trend exhaustion.
Unlike the standard VIX Fix which is often displayed in a separate pane, this script overlays signals directly onto your chart as colorful dots to simplify the decision-making process.
How it Works
The script calculates the "Synthetic VIX" (Williams VIX Fix) to find market bottoms and volatility peaks. To reduce noise and false signals, it incorporates price action filters and trend-strength lookbacks.
Signal Guide
The indicator plots four distinct types of dots:
Green Circle (Below Bar): Filtered Long Entry. This represents a standard buy signal where volatility has peaked and price action confirms a move up.
Blue Circle (Below Bar): Aggressive Long Entry. A faster signal for traders looking to catch a move earlier, based on multi-candle lookbacks.
Red Circle (Above Bar): Filtered Exit/Short. Indicates a standard trend exhaustion point.
Orange Circle (Above Bar): Aggressive Exit/Short. A faster signal indicating the trend may be rolling over.
Key Features
Volatility Bands: Uses Bollinger Bands and Percentile calculations on the VIX Fix to identify extreme exhaustion.
Price Action Filter: Signals only trigger if the current close outperforms a user-defined number of previous bars.
Customizable Lookbacks: Fully adjustable settings for Stochastic and RSI filters to match your specific timeframe (M5, H1, D1, etc.).
Multi Cycles Predictive System ML - GBM IntegratedMulti-Cycle Predictive System: The Gradient Boosting Machine (GBM) Revolution
Introduction: The Death of Static Analysis
The financial markets are not static; they are a living, breathing, and chaotic system. Yet, for decades, traders have relied on static indicators—using the same RSI settings, the same MACD parameters, and the same Moving Averages regardless of whether the market is trending, chopping, or crashing.
The Multi-Cycle Predictive System (MCPS) represents a paradigm shift. It is not just an indicator; it is an Adaptive Machine Learning Engine running directly on your chart.
By integrating a fully functional Gradient Boosting Machine (GBM), this script does not guess—it learns. It monitors 13 distinct algorithmic models, calculates their real-time accuracy against future price action, and dynamically reallocates influence to the "winning" models using gradient descent.
This is Survival of the Fittest applied to technical analysis.
1. The Core Engine: Gradient Boosting & Adaptive Learning
At the heart of the MCPS is a custom-coded Gradient Boosting Machine. While most "ML" scripts on TradingView simply average a few indicators, this system replicates the architecture of advanced data science models.
How the GBM Works:
Ensemble Prediction: The system aggregates signals from 13 different mathematical models.
Residual Calculation: It compares the ensemble's previous predictions against the actual price movement (Price Return) to calculate the error (Residual).
Gradient Descent: It calculates the gradient of the loss function. We utilize a Huber Loss Gradient, which is robust against outliers (market spikes), ensuring the model doesn't overreact to volatility.
Weight Optimization: Using a configurable learning rate, the system updates the weights of each sub-algorithm. Models that predicted correctly gain weight; models that failed lose influence.
Softmax Normalization: Finally, weights are passed through a Softmax function (with Temperature control) to convert them into probabilities that sum to 1.0.
The "Winner-Takes-All" Philosophy
A common failure in ensemble systems is "Signal Dilution"—where good signals are drowned out by bad ones.
The MCPS solves this with Aggressive Weight Concentration:
Top 3 Logic: The script identifies the top 3 performing algorithms based on historical accuracy.
The 90% Rule: It forces the system to allocate up to 90% of the total decision weight to these top 3 performers.
Result: If Ehlers and Schaff are reading the market correctly, but MACD is failing, MACD is effectively silenced. The system listens only to the winners.
2. The 13 Algorithmic Pillars
The MCPS draws from a diverse library of Digital Signal Processing (DSP), Statistical, and Momentum algorithms. It does not rely on simple moving averages.
Ehlers Bandpass Filter: Isolates the dominant cycle in price data, removing trend and noise.
Zero-Lag EMA (ZLEMA): Reduces lag to near-zero to track momentum shifts instantly.
Coppock Curve: A classic long-term momentum indicator, modified here for adaptive responsiveness.
Detrended Price Oscillator (DPO): Eliminates the trend to identify short-term cycles.
Schaff Trend Cycle (STC): A double-smoothed stochastic of the MACD, excellent for identifying cycle turns.
Fisher Transform: Converts price into a Gaussian normal distribution to pinpoint turning points.
MESA Adaptive: Uses Maximum Entropy Spectral Analysis to detect the current dominant cycle period.
Goertzel Algorithm: A DSP technique used to identify the magnitude of specific frequency components in the price wave.
Hilbert Transform: Extracts the instantaneous amplitude and phase of the price action.
Autocorrelation: Measures the similarity between the price series and a lagged version of itself to detect periodicity.
Singular Spectrum Analysis (SSA): Decomposes the time series into trend, seasonal, and noise components (Simplified).
Wavelet Transform: Analyzes data at different scales (frequencies) simultaneously.
Empirical Mode Decomposition (EMD): Splits data into Intrinsic Mode Functions (IMFs) to isolate pure cycles.
3. The Dashboard: Total Transparency
Black-box algorithms are dangerous. You need to know why a signal is being generated. The MCPS features two detailed dashboards (tables) located at the bottom of your screen.
The Weight & Accuracy Table (Bottom Right)
This is your "Under the Hood" view. It displays:
Algorithm: The name of the model.
Accuracy: The rolling historical accuracy of that specific model over the lookback period (e.g., 58.2%).
Weight: The current influence that model has on the final signal. Watch this change in real-time. You will see the system "giving up" on bad models and "betting heavy" on good ones.
Prob/Sig: The raw probability and directional signal (Up/Down).
The GBM Stats Table (Bottom Left)
Tracks the health of the Machine Learning engine:
Iterations: How many learning cycles have occurred.
Entropy: A measure of market confusion. High entropy means weights are spread out (models disagree). Low entropy means the models are aligned.
Top 3 Weight: Shows how concentrated the decision power is. If this is >80%, the system is highly confident in specific models.
Confidence & Agreement: Statistical measures of the signal strength.
4. How to Trade with MCPS
This system outputs a single, composite Cycle Line (oscillating between -1 and 1) and a background Regime Color.
Strategy A: The Zero-Cross (Trend Reversal)
Bullish: When the Cycle Line crosses above 0. This indicates that the weighted average of the top-performing algorithms has shifted to a net-positive expectation.
Bearish: When the Cycle Line crosses below 0.
Strategy B: Probability Extremes (Mean Reversion)
Strong Buy: When the Cycle Line drops below -0.5 (Oversold) and turns up. This indicates a high-probability cycle bottom.
Strong Sell: When the Cycle Line rises above +0.5 (Overbought) and turns down.
Strategy C: Regime Filtering
The background color changes based on the aggregate consensus:
Green/Lime: Bullish Regime. Look primarily for Long entries. Ignore weak sell signals.
Red/Orange: Bearish Regime. Look primarily for Short entries.
Gray: Neutral/Choppy. Reduce position size or wait.
5. Configuration & GBM Settings
The script is highly customizable for advanced users who want to tune the Machine Learning hyperparameters.
Prediction Horizon: How many days into the future are we trying to predict? (Default: 3).
Accuracy Lookback: How far back does the model check to calculate "Accuracy"?
GBM Learning Rate: Controls how fast the model adapts.
High (0.2+): Adapts instantly to new market conditions but may be "jumpy."
Low (0.05): Very stable, long-term adaptation.
Temperature: Controls the "Softmax" function. Higher temperatures allow for softer, more distributed weights. Lower temperatures force a "Winner Takes All" outcome.
Max Top 3 Weight: The cap on how much power the top 3 models can hold (Default: 90%).
6. Technical Nuances (For the Geeks)
Huber Gradient: We use Huber loss rather than MSE (Mean Squared Error) for the gradient descent. This is crucial for financial time series because price spikes (outliers) can destroy the learning process of standard ML models. Huber loss transitions from quadratic to linear error, making the model robust.
Regularization: L2 Regularization is applied to prevent overfitting, ensuring the model doesn't just memorize past noise.
Memory Decay: The model has a "fading memory." Recent accuracy is weighted more heavily than accuracy from 200 bars ago, allowing the system to detect Regime Shifts (e.g., transitioning from a trending market to a ranging market).
Disclaimer:
This tool is a sophisticated analytical instrument, not a crystal ball. Machine Learning attempts to optimize probabilities based on historical patterns, but no algorithm can predict black swan events or fundamental news shocks. Always use proper risk management.
The "Warmup Period" is required. The script needs to process 50 bars of history before the GBM engine initializes and produces signals.
Author's Note:
I built the MCPS because I was tired of indicators that stopped working when the market "personality" changed. By integrating GBM, this script adapts to the market's personality in real-time. If the market is cycling, Ehlers and Goertzel take over. If the market is trending, Coppock and ZLEMA take the lead. You don't have to choose—the math chooses for you.
Please leave a boost and a comment if you find this helpful!
Gann Square (Weekly) + Auto-Fit Helper v6Helps show best fit for the Gann Square on the weekly log scale chart
Canales Pivot H y P - EXTREMOSBollinger Extremes measures the average estimated volatility during the day, compared to the closing price.
My Swift-like Algo J.ALIMOJANIDSwift Algo Chart — Trend, Structure & ATR Risk
Swift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management.
It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions.
🔑 Key Features
Trend Regime Detection
Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs.
Pullback Entry Signals
Signals appear only in the direction of the active trend, with optional RSI confirmation.
ATR-Based Risk Levels
Automatically plots SL, TP1, and TP2, including exact price values on the chart.
Preview Levels
Shows projected SL/TP levels when a trend is active, even before an entry.
Market Structure Visualization
Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH.
Clean & Non-Repainting Logic
Uses confirmed pivots and closed candles for stability.
Strategy-Compatible
Can be used for discretionary trading or full strategy backtesting.
🧠 Best Used For
Crypto, Forex, Indices
15m to 4H timeframes
Traders who want structure + trend + risk clarity in one tool
Support Resistance by EVThis indicator is designed to provide a clean and practical market structure view by combining automatic support and resistance detection with dynamic trend analysis. It identifies key support and resistance levels using confirmed swing highs and lows, intelligently merging nearby levels based on market volatility and filtering out outdated or irrelevant zones to keep the chart clear and focused on what matters now.
In addition to horizontal support and resistance, the indicator offers two complementary ways to read trend context. It can display diagonal trendlines built from the most recent swing highs and swing lows to visualize directional structure, or horizontal trend rays based on the latest pivots to highlight dynamic support and resistance acting as trend references. The user can switch between these modes depending on trading style and market conditions.
All visual elements are anchored by time rather than bar index to ensure stability when zooming or scrolling the chart. The indicator is fully non-repainting, relies only on confirmed pivots, and is suitable for any market or timeframe. It is intended as an open-source, professional-grade tool that helps traders quickly identify structure, trend bias, and key reaction levels without clutter or visual noise.
My Swift-like Algo ALIMOJANIDSwift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management.
It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions.
🔑 Key Features
Trend Regime Detection
Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs.
Pullback Entry Signals
Signals appear only in the direction of the active trend, with optional RSI confirmation.
ATR-Based Risk Levels
Automatically plots SL, TP1, and TP2, including exact price values on the chart.
Preview Levels
Shows projected SL/TP levels when a trend is active, even before an entry.
Market Structure Visualization
Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH.
Clean & Non-Repainting Logic
Uses confirmed pivots and closed candles for stability.
Strategy-Compatible
Can be used for discretionary trading or full strategy backtesting.
🧠 Best Used For
Crypto, Forex, Indices
15m to 4H timeframes
Traders who want structure + trend + risk clarity in one tool
Volume Bubbles by EV Volume Bubbles visualizes high-activity candles using chart bubbles placed at an estimated intrabar origin point derived from lower timeframe data. When enabled, the script uses lower timeframe OHLC to approximate directional volume delta and selects an origin candle inside the parent bar using one of several methods. A relative-volume filter based on the parent bar can be used to reduce noise, and bubble size can be mapped to relative volume to highlight unusually active bars. If intrabar data is unavailable, the script can fall back to placing bubbles on the parent bar to keep behavior consistent. For best stability, the “Only confirmed bars” option is recommended.
PropKorea US10Y Monitor for NQPropKorea US10Y Monitor for NQ
Overview This indicator is specifically designed for Nasdaq (NQ) day traders and scalpers. It visualizes the real-time fluctuations of the US 10-Year Treasury Yield (US10Y), which historically has a strong Inverse Correlation with tech stocks.
By monitoring the US10Y yield in real-time, traders can gauge the macro pressure on the Nasdaq. This script features a Smart Smoothing Algorithm to filter out tick noise on lower timeframes (e.g., 1-minute chart) and uses a "Neon" visual effect to intuitively display market sentiment (Risk On/Off).
Key Features
Neon Trend Signals (Risk Gauge)
🔴 Red Zone: Yield is UP vs. Previous Close (Bearish pressure on NQ → Short Bias).
🟢 Green Zone: Yield is DOWN vs. Previous Close (Bullish pressure on NQ → Long Bias).
⚪ Gray (Neutral): Trend is reversing or consolidating (Wait or Exit signal).
Smart Smoothing (Noise Filter)
Apply a customizable Moving Average filter to ignore minor tick whipsaws on 1-minute charts.
Adjust the Smoothing Strength in settings to fit your trading style.
1:1 Candle Matching (Dot Style)
Supports "Line + Dots" style to align yield data points perfectly with NQ candles for precise timing.
Session Filter
The Neon effect activates only during the main NY Session (08:30 – 17:00 EST) to focus on high-liquidity hours.
How to Use
Add this indicator to a separate pane below your NQ chart.
Short Setup: If the background/line is Red, look for Short opportunities when NQ bounces.
Long Setup: If the background/line is Green, look for Long opportunities when NQ dips.
Caution: If the color turns Gray, the yield trend is losing momentum. Consider tightening stops or waiting.
Disclaimer This tool is for informational purposes only and does not guarantee profits. Please be aware that markets can decouple from yields during major news events (e.g., Earnings surprises).
개요 (Overview) 이 지표는 나스닥(NQ) 데이 트레이더와 스캘퍼를 위해 제작되었습니다. 기술주와 강력한 **역상관 관계(Inverse Correlation)**를 가지는 **미국 10년물 국채 금리(US10Y)**의 실시간 변동을 시각화하여 트레이딩에 도움을 줍니다.
1분봉 이하의 빠른 스캘핑 환경에서도 틱 노이즈(Noise)에 속지 않도록 스마트 스무딩(Smart Smoothing) 알고리즘이 적용되어 있으며, 네온(Neon) 효과를 통해 현재 시장의 분위기(Risk On/Off)를 직관적으로 파악할 수 있습니다.
핵심 기능 (Key Features)
네온 트렌드 신호 (Neon Trend)
🔴 레드존 (Red Zone): 전일 대비 금리 상승 중 (나스닥 하방 압력 → 매도 우위)
🟢 그린존 (Green Zone): 전일 대비 금리 하락 중 (나스닥 상방 압력 → 매수 우위)
⚪ 회색 (Gray): 추세 반전 또는 횡보 구간 (관망 또는 청산 신호)
스마트 스무딩 (노이즈 제거)
이동평균 필터를 적용하여 1분봉 차트에서의 자잘한 틱 튀김 현상을 걸러냅니다.
설정에서 노이즈 제거 강도를 조절하여 본인의 스타일에 맞게 튜닝할 수 있습니다.
1:1 캔들 매칭 (Dot Style)
"Line + Dots" 스타일을 지원하여 나스닥 캔들과 금리 데이터를 1:1로 매칭해 정확한 타점을 볼 수 있습니다.
세션 필터 (Session Filter)
유동성이 풍부한 뉴욕 본장(08:30~17:00 EST) 시간에만 네온 효과가 켜지고, 그 외 시간에는 눈의 피로를 줄이기 위해 차분한 회색으로 전환됩니다.
사용 가이드 (How to Use)
NQ 차트 하단 패널에 이 지표를 추가하십시오.
매도 진입: 배경과 선이 붉은색일 때, 나스닥이 반등하면 매도 포지션 진입을 고려합니다.
매수 진입: 배경과 선이 초록색일 때, 나스닥이 눌림목을 주면 매수 포지션 진입을 고려합니다.
주의: 선명하던 색상이 회색으로 변하면 금리 추세가 멈추거나 반전되고 있다는 신호이므로 주의가 필요합니다.
주의 사항 (Disclaimer) 본 지표는 보조 도구일 뿐이며 절대적인 수익을 보장하지 않습니다. 강력한 개별 호재(실적 발표 등)가 있는 날에는 금리와 디커플링(Decoupling) 될 수 있음을 유의하십시오.
Developed by PropKorea
