Weekly Institutional Fib PivotsThese Fibonacci levels act as institutional order zones, meaning price reacts more powerfully when it originates from them. Use them as a weekly roadmap to anticipate where price is likely to travel each day, including during overnight or automated trading sessions.
How to trade them:
• Take the previous weeks levels and use those levels to trade the current week.
• Enter and exit around the major fib levels
• Use the 50% midpoint between levels as your first take-profit or stop-loss zone
These levels provide structure, targets, and precision for both intraday and multi-session trading.
Strategy:
Place your order at one level, and exit before it reaches the next level or at the 50% area of the zone
Pivot noktaları ve seviyeleri
TradeX Labs Pivot MasterLucrorStrategies — Automated Price Action Execution Framework
This indicator-strategy automation is built for traders who want a simple, consistent, and rules-based trading system—no multi-timeframe chaos or overcomplicated confirmation layers. It trades purely from prior-day price action, keeping volatility, structure, and logic constant across all sessions.
Every entry, stop, and target comes directly from the same volatility-adjusted model. If the trade can’t fit your defined dollar risk, it simply won’t execute or plot.
⸻
IMPORTANT NOTE
***Since TradingView utilizes close of bar for plots, this is best utilized for real time entry/exit signals on 1 second charts or lower. If you do not have 1 second charts we can not recommend you to upgrade your subscription but we HIGHLY recommend utilizing this script on a 1 second chart. If utilizing on any higher time frame any signals or trade logic will be delayed and inaccurate or signals can be entirely skipped altogether and populate incorrect entries***
⸻
Purpose & Core Design
The framework is anchored to prior-day settlement data and mathematically transforms it into real-time, session-specific trading levels. This creates a daily map of opportunity that evolves with volatility while maintaining a consistent structure.
This approach eliminates guesswork and ensures the same conditions that produced historical edge apply to every live session.
⸻
Key Inputs & Control
1. Dollar Risk
Set your maximum dollar risk per trade. The system automatically sizes positions to stay at or below that risk limit based on stop distance.
• If the trade qualifies: a red-to-green gradient fill and entry label appear.
• If not: no fill, no entry, no false visual signals.
2. Timer Exit (Default: 30 Minutes)
The strategy is designed for momentum capture in the first 30 minutes after market open. If a trade remains active beyond that time, it is closed automatically.
All back tests and live reports reference this same window to maintain integrity. (Adjustable if you wish.)
3. Days to Keep Lines
Controls how many sessions of plotted levels and fills stay visible (up to 10).
To explore further back, use TradingView’s replay mode. The indicator will continue plotting as far as platform data allows.
4. Font & Label Size
• Price Label Size: Adjusts the numerical price levels beside pivots for manual pre-market entries.
• Level Label Size: Controls the on-chart text size for active trade signals. Both fully customizable.
⸻
Level Structure & Trade Mechanics
All plotted levels originate from a proprietary prior-day volatility formula. You will see:
• Middle Green Horizontal Lines — Support Levels
These mark historically reactive zones where price has a higher probability of holding or bouncing.
• Middle Blue Horizontal Lines — Resistance Levels
These represent opposing zones where price tends to reject or stall.
(Solid and dotted variants handle different roles in execution logic.)
• Red Horizontal Lines — Points of Control (POC Zones)
These are high-impact levels where price historically either rejects violently or breaks with strength.
⸻
Trade Logic
Long Trades
• Trigger: The solid blue line above the current structure acts as the long trigger.
• Stop: The solid blue line below is the stop-loss.
• Target: The next solid blue line above serves as the target.
Long trades are executed when price hits the solid blue trigger above the current level, using solid levels exclusively for entry, stop, and target.
Short Trades
• Trigger: The dotted blue line below the current structure is the short trigger.
• Stop: The dotted blue line above is the stop-loss.
• Target: The next dotted blue line below becomes the target.
Short trades use only dotted levels to define all key mechanics — entry, stop, and target — keeping short setups visually distinct and structurally independent from longs.
This dual structure allows for clean, symmetrical trade logic across both sides of the market, with consistent volatility mapping from prior-day data.
⸻
High-Priority Red Levels (Points of Control)
Red horizontal levels represent areas of major interest — typically where institutional activity concentrated previously. Price often reacts sharply here: either reversing instantly or breaking through with momentum.
These are optional reference points but often signal where the strongest reactions occur.
⸻
Visualization & Behavior
• Executed trades show the red-to-green gradient fill.
• Trades that exceed risk parameters simply do not appear.
• Levels remain clean and persistent day to day for back testing, journaling, or educational
use.
⸻
Disclaimer
This is a closed, proprietary LucrorStrategies tool. It is provided for analytical and educational use only. It does not predict price or guarantee profit. All trade execution, configuration, and outcomes remain the responsibility of the user.
MP Universal FVG Detector🇺🇸 English Description
MP Universal FVG Detector
A clean and powerful indicator that automatically detects classic ICT 3-candle Fair Value Gaps on any market and any timeframe.
It highlights bullish and bearish imbalances with clear colored boxes, helping you quickly spot inefficient price zones where liquidity is likely to return.
Perfect for:
• Smart Money Concepts
• ICT/Inner Circle Trader setups
• Breaker / OB / Displacement traders
• Scalpers, day traders, swing traders
The indicator works with all assets: crypto, forex, stocks, indices, commodities — and on all timeframes.
🇺🇦 Опис українською
MP Universal FVG Detector
Чистий і потужний індикатор, який автоматично визначає класичні 3-свічкові Fair Value Gap (FVG) у стилі ICT на будь-якому ринку та будь-якому таймфреймі.
Він підсвічує бичачі та ведмежі дисбаланси кольоровими боксами, щоб ти легко бачив неефективні зони ціни, куди з великою ймовірністю повернеться ліквідність.
Підходить для:
• Smart Money Concepts
• ICT/Inner Circle Trader структур
• Breaker / Order Block / Displacement трейдерів
• Скальпінгу, внутрідеяльної та свінг-торгівлі
Працює з усіма активами: крипта, форекс, акції, індекси, товари — і на всіх таймфреймах.
Haut & Bas Semaine Précédente – Depuis lundi (paramétrable)Clean and precise indicator that draws:
• The previous week’s high
• The previous week’s low
Lines start exactly on the Monday of the previous week and extend to the right (auto-updated every Monday).
Works perfectly on all timeframes (1 min, 5 min, 1H, 4H, daily…).
Fully customizable:
Colors
Style: Solid / Dashed / Dotted
Line width (1–5)
Perfect for intraday, swing trading or scalping — these levels are often strong support/resistance or breakout zones.
No labels, no plots, just the two clean lines. Lightweight and professional.
Camarilla Next Week & DayTrading Perspective:
This is useful for planning ahead - you can see where potential support/resistance might form next week as the current week's price action develops. The levels will adjust if the current week makes new highs/lows.
Visual Hierarchy:
Weekly = Thicker solid lines (major levels)
Daily = Thinner dotted/circle lines (intraday levels)
This gives you both short-term (daily) and longer-term (weekly) Camarilla levels on the same chart. You can turn either timeframe off if the chart gets too crowded!
SRDynamic support and resistance lines designed for 15-minute, 30-minute, and other lower-timeframe analyses.
The movements of SR1 to SR5 also reflect shifts in market trend, providing a clear structural view of price behavior.
LE ScannerGENERAL OVERVIEW:
The LE Scanner is a multi-ticker dashboard that scans up to 20 tickers in real time and displays their current trend, price, volume, and key level conditions directly on your chart. It tracks how each ticker interacts with both the Previous Day’s High/Low (PDH/PDL) and Pre-Market High/Low (PMH/PML) to determine whether price is breaking above, below, or remaining inside those levels. The indicator automatically classifies each ticker as Bullish, Bearish, or Neutral based on these break conditions.
This indicator was developed by Flux Charts in collaboration with Ellis Dillinger (Ellydtrades).
What is the purpose of the indicator?:
The LE Scanner helps traders keep track of up to 20 tickers at once without switching between charts. It puts all the key information in one place, including price, daily percentage change, volume, and how each ticker is reacting around the previous day’s and pre-market highs and lows. The layout is simple and easy to read, with progress bars that show where price is relative to those levels. The goal is to save time and make it easier to understand market strength and weakness across your watchlist.
What’s the theory behind the indicator?:
The LE Scanner is built around the idea that key levels define bias. The previous day’s high and low show where the market traded most actively during the prior session, and the pre-market range reveals how price behaved before the open. When a ticker breaks both the previous day’s high and the pre-market high, it shows that buyers are in control. When it breaks both the previous day’s low and the pre-market low, sellers are in control. If neither side has full control, the bias is seen as neutral.
LE SCANNER FEATURES:
Multi-Ticker Dashboard
Key Level Tracking
Trend Classification
Sorting
Customization
Multi-Ticker Dashboard:
The LE Scanner can monitor up to 20 tickers at the same time. Each ticker has its own row in the dashboard showing:
Ticker Name
Current Price
Volume
Daily % Change
PDH Break
PDL Break
PMH Break
PML Break
Trend (bullish, bearish, or neutral)
You can enable or disable each ticker individually, so if you only want to track 5 or 10 tickers, you can simply toggle the rest off. Each ticker input lets you type in any valid ticker that’s available on TradingView.
Ticker Name:
Shows the ticker you selected in your input settings
Current Price:
Displays the latest price of that ticker based on your chart’s selected timeframe.
Volume:
Tracks the total trading volume for the current session.
Daily % Change:
Measures how much price has moved since the previous session’s close.
The remaining elements of the dashboard are explained in full detail throughout the remaining sections of this write-up.
Key Level Tracking:
The core of the LE Scanner is its ability to track and visualize how price interacts with four key levels for every ticker:
Previous Day High (PDH)
Previous Day Low (PDL)
Pre-Market High (PMH)
Pre-Market Low (PML)
These levels are updated automatically and compared to the current market price for each ticker inputted into the indicator. They show you whether the market is staying inside yesterday’s range or expanding beyond it.
🔹Previous Day High (PDH) & Previous Day Low (PDL)
The Previous Day High (PDH) marks where price reached its highest point during the last full trading session, while the Previous Day Low (PDL) marks the lowest point. Together, they define the previous day’s range and help traders understand where price is trading relative to that prior structure.
When the current price of a user-selected ticker moves above the PDH, it signals that buyers are taking control and that the ticker is now trading above yesterday’s range. In the dashboard, this change triggers a 🟢 icon under the “PDH Break” column. Once the PDH Break is confirmed, the opposite PDL Break column for that same ticker becomes blank.
When the current price of the user-selected ticker moves below the PDL, it shows that sellers are taking control and that the ticker is trading below yesterday’s range. In the dashboard, this change triggers a 🔴 icon under the “PDL Break” column. Once the PDL Break is confirmed, the opposite PDH Break column for that same ticker becomes blank.
🔹 Pre-Market High (PMH) & Pre-Market Low (PML)
The Pre-Market High (PMH) and Pre-Market Low (PML) show where price reached its highest and lowest points before the main trading session begins. On most U.S. exchanges, the pre-market session is from 4:00 AM to 9:29 AM Eastern Standard Time (EST), just before the New York session opens at 9:30 AM EST. These levels are important because they reflect how traders positioned themselves during the early morning hours. Many traders use the pre-market session to react to overnight news. The PMH and PML outline that entire pre-market range, showing where buyers and sellers fought for control and where the early balance between the two sides was established before the market opens.
When the current price of a ticker moves above the Pre-Market High, it means buyers are in control and that price has pushed through the top of the pre-market range. In the dashboard, this triggers a 🟢 icon under the “PMH Break” column. Once this break is confirmed, the opposite PML Break column for that ticker becomes blank.
When the current price moves below the Pre-Market Low, it means sellers are in control and that price has fallen beneath the pre-market range. In the dashboard, this triggers a 🔴 icon under the “PML Break” column. Once a PML Break is confirmed, the opposite PMH Break column for that ticker becomes blank.
🔹Progress Bars
The LE Scanner indicator includes progress bars that show how far the current price is from key levels.
When price is between the Previous Day High (PDH) and Previous Day Low (PDL), the progress bar measures price’s distance relative to those two points.
When price is between the Pre-Market High (PMH) and Pre-Market Low (PML), the bar tracks how far price is from those pre-market boundaries.
The closer price gets to either side, the more the bar fills, giving you a quick visual sense of how close a breakout or breakdown might be. A bar that’s nearly full means price is approaching one of the levels, while a shorter bar means it’s still far away from it. By seeing this relationship directly in the dashboard, you can see which tickers are getting ready to test key levels without flipping through multiple charts.
🔹PDH Progress Bar
The PDH progress bar measures how close price is to breaking above the previous day’s high.
When the bar is nearly full, it means the current price is trading just below yesterday’s high.
When the bar is low or mostly empty, it means price is far from the PDH and trading near the middle or lower end of the previous day’s range.
Once price breaks above the PDH, the progress bar is replaced with a green confirmation icon in the PDH Break column.
🔹Previous Day Low (PDL) Progress Bar
The PDL progress bar measures how close price is to breaking below the previous day’s low.
When the bar is nearly full, it means the current price is trading just above yesterday’s low.
When the bar is low or mostly empty, it means price is far from the PDL and trading near the middle or upper end of the previous day’s range.
Once price breaks below the PDL, the progress bar is replaced with a red confirmation icon in the PDL Break column.
🔹Pre-Market High (PMH) Progress Bar
The PMH progress bar shows how close price is to breaking above the pre-market high.
When the bar is nearly full, it means the current price is trading just below the pre-market high.
When the bar is low or mostly empty, it means price is far from the PMH and trading near the middle or lower end of the pre-market range.
Once price breaks above the PMH, the progress bar is replaced with a green confirmation icon in the PMH Break column.
🔹Pre-Market Low (PML) Progress Bar
The PML progress bar shows how close price is to breaking below the pre-market low.
When the bar is nearly full, it means the current price is trading just above the pre-market low.
When the bar is low or mostly empty, it means price is far from the PML and trading near the middle or upper end of the pre-market range.
Once price breaks below the PML, the progress bar is replaced with a red confirmation icon in the PML Break column.
Trend Classification:
The LE Scanner automatically classifies each user-inputted ticker as bullish, bearish, or neutral based on how price is interacting with its key levels.
Each trend type follows a specific set of conditions and is displayed in its own column under Trend on the dashboard.
🔹 Bullish Trend
A bullish trend occurs when price has broken above both the Previous Day High (PDH) and the Pre-Market High (PMH). This shows that buyers are in full control and that the ticker is trading firmly above the prior session’s and pre-market range.
When this condition is met, the Trend column displays a green background with an upward-facing triangle icon (▲).
🔹 Bearish Trend
A bearish trend occurs when price has broken below both the Previous Day Low (PDL) and the Pre-Market Low (PML). This indicates that sellers are in control and that the ticker is trading firmly below the prior session’s and pre-market range.
When this happens, the Trend column switches to a red background with a downward-facing triangle icon (▼).
🔹 Neutral Trend
A neutral trend occurs when price is trading inside the range, meaning it hasn’t broken above the PDH/PMH or below the PDL/PML. This indicates that neither bulls nor bears has clear control, and the ticker is consolidating between the prior session’s and pre-market range.
When this condition is active, the Trend column appears with a warning sign icon (⚠️). This helps distinguish tickers that are still forming setups from those that have already shown decisive strength or weakness.
Sorting:
The LE Scanner includes a built-in sorting feature that lets you reorder the dashboard in either descending or ascending order based on one of four metrics:
% Change
Volume
Price
Trend
Sorting is handled directly in the indicator settings, where you can toggle “Sort By” and then select your preferred Sort By criteria and Order (Ascending or Descending). When enabled, the dashboard automatically repositions every ticker to match the selected sorting method.
🔹 % Change Sorting
When you sort by % Change, the dashboard ranks tickers based on their daily percentage movement relative to the previous session’s close.
If you choose descending order, the biggest gainers appear at the top.
If you choose ascending order, the biggest decliners appear at the top.
🔹 Volume Sorting
When you sort by Volume, the dashboard arranges tickers based on their total traded volume for the current session.
If you choose descending order, the highest-volume tickers appear at the top.
If you choose ascending order, the lowest-volume tickers appear at the top.
🔹 Price Sorting
When you sort by Price, the dashboard arranges tickers by their current market price.
If you choose descending order, the highest-priced tickers appear at the top.
If you choose ascending order, the lowest-priced tickers appear at the top.
🔹 Trend Sorting
When you sort by Trend, the dashboard organizes tickers based on their directional classification.
If you choose descending order, bullish tickers appear first, followed by neutral and bearish.
If you choose ascending order, bearish tickers appear first, followed by neutral and bullish.
Customization:
The LE Scanner includes several settings that let you customize how the dashboard appears on your chart. All visual and positional elements can be adjusted to fit your personal layout preferences.
🔹 Dashboard Position
You can move the dashboard anywhere on your chart using the “Table Position” setting. Options include:
Bottom-Center
Bottom-Left
Bottom-Right
Middle-Center
Middle-Left
Middle-Right
Top-Center
Top-Left
Top-Right
🔹 Dashboard Size
The dashboard size can be adjusted to be larger or smaller. Users can choose between the following options:
Tiny
Small
Normal
Large
Huge
🔹 Color Customization
All color elements in the dashboard are customizable. You can change the following:
Background Color
Border Color
Frame Color
Text Color
Bullish Trend Color
Bearish Trend Color
Important Notes:
Because the LE Scanner tracks multiple tickers and updates all data in real time, it performs several background calculations at once. On rare occasions, this can cause the following issue:
Computation Error:
Scanning up to 20 tickers at the same time requires multiple request.security() calls. This process is resource-intensive and can sometimes trigger a calculation timeout message in TradingView. If this occurs, simply force the indicator to refresh by changing one of its settings (for example, toggling a ticker off and back on) or by removing and re-adding the indicator to your chart.
Uniqueness:
The LE Scanner is unique because it combines real-time multi-ticker tracking, sortable data, and visual feedback into one tool. It can track up to 20 tickers simultaneously, automatically sort them by % change, volume, price, or trend. The built-in progress bars provide a clear visual of how close price is to breaking key levels, while the trend classification instantly shows whether each ticker is bullish, bearish, or neutral.
TNT TRADER Sessions and Zones Premarket sessions and zone indicator full customization for premarket, yesterdays high and low , london, asia after hours etc.
Smart Box Breakout Pro - Swing & ORB System🎯 **SMART BOX BREAKOUT PRO - Professional Trading System**
**Two Powerful Modes in ONE Indicator:**
✅ **SWING BOX MODE** - Automatic consolidation detection based on swing highs/lows
✅ **ORB MODE** - Opening Range Breakout for professional day trading
Stop manually drawing boxes and missing breakouts! This indicator does it ALL automatically.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## 🔥 **WHY THIS INDICATOR IS DIFFERENT**
### **1️⃣ SWING BOX MODE** (For All Timeframes)
- Automatically detects swing-based consolidation zones
- Draws perfect boxes around price consolidation
- Identifies breakouts with precision
- Works on ANY timeframe (M5 to Daily)
- Perfect for swing traders and position traders
### **2️⃣ ORB MODE** (For Day Traders) ⭐ UNIQUE FEATURE
- **Opening Range Breakout** system built-in
- Set custom time range (e.g., 09:30-10:00 for first 30 min)
- Works with multiple timezones (NY, London, Tokyo, Chicago)
- Daily auto-reset
- Professional day trading tool
### **3️⃣ 5-STAR SIGNAL QUALITY SYSTEM** 🌟
Every signal is rated 1-5 stars based on:
- ⭐ Box tightness (smaller = better)
- ⭐ Volume confirmation
- ⭐ HTF trend alignment
- ⭐ Clean breakout (no wicks back)
- ⭐ Momentum strength
**Only trade 4-5 star setups for highest probability!**
### **4️⃣ HIGHER TIMEFRAME FILTER**
- Optional HTF trend filter
- Only LONG signals in HTF uptrend
- Only SHORT signals in HTF downtrend
- Significantly improves win rate
### **5️⃣ AUTOMATIC TP/SL CALCULATION**
- Take Profit levels auto-calculated
- Stop Loss based on box structure
- Adjustable percentages
- Visual TP/SL lines on chart
### **6️⃣ PROFESSIONAL DASHBOARD**
- Live signal status
- Active box info
- Signal quality rating
- HTF trend direction
- Current TP/SL levels
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## 📊 **HOW IT WORKS**
### **SWING BOX MODE:**
1. **Detection**: Indicator finds swing highs and swing lows
2. **Box Formation**: Draws box around consolidation (4 swing points)
3. **Breakout Wait**: Monitors price for breakout
4. **Signal**: When price closes above/below box → SIGNAL
5. **Quality Rating**: Shows 1-5 stars for signal quality
6. **Auto TP/SL**: Displays take profit and stop loss levels
**Perfect for:** Swing trading, position trading, all timeframes
### **ORB MODE (Opening Range Breakout):**
1. **Time Range**: You set the opening range time (e.g., 09:30-10:00)
2. **Range Formation**: Box forms during this time (tracks high/low)
3. **Range Complete**: After time ends, box is complete
4. **Breakout Wait**: Price must break above or below opening range
5. **Signal**: Breakout = entry signal with quality rating
6. **Auto TP/SL**: Professional risk management built-in
**Perfect for:** Day trading stocks, forex, crypto, futures
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## ⚙️ **FEATURES & SETTINGS**
### **Mode Selection:**
- Toggle between Swing Box and ORB mode
- Each mode optimized for different trading styles
### **Swing Box Settings:**
- Swing Length (sensitivity)
- Min distance between boxes
- Max box width (filters out large ranges)
### **ORB Settings:**
- Custom time range (any hours you want)
- Timezone selection (NY, London, Tokyo, Chicago)
- Daily reset option
- Extend box right option
### **Trading Settings:**
- Take Profit % (adjustable)
- Stop Loss offset % (adjustable)
- Minimum signal quality filter (1-5 stars)
### **HTF Filter:**
- Enable/disable higher timeframe trend filter
- Select HTF timeframe
- EMA period for trend determination
### **Visual Customization:**
- Show/hide swing points
- Show/hide TP/SL lines
- Show/hide dashboard
- Custom colors for all elements
- Adjustable line lengths
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## 🎯 **BEST USE CASES**
### **Swing Box Mode:**
✅ Forex pairs (any timeframe H1-Daily)
✅ Stock swing trading (H4-Daily)
✅ Crypto swing trading (H1-H4)
✅ Index trading (H4-Daily)
✅ Commodity swing trades
### **ORB Mode:**
✅ US Stock day trading (09:30-10:00 EST opening range)
✅ Forex day trading (London open 08:00 GMT)
✅ Crypto day trading (any session)
✅ Futures day trading (08:30-09:00 EST)
✅ Gold/Silver day trading
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## 📈 **RECOMMENDED SETTINGS**
### **For Forex (Swing Box Mode):**
- Timeframe: H1 or H4
- Swing Length: 5
- Min Signal Quality: 3 stars
- HTF Filter: ON (use H4 or Daily)
### **For Stock Day Trading (ORB Mode):**
- Timeframe: 5min or 15min
- ORB Time: 0930-1000 (EST)
- Timezone: America/New_York
- Min Signal Quality: 4 stars
- HTF Filter: OFF
### **For Crypto (Swing Box Mode):**
- Timeframe: H1 or H4
- Swing Length: 5-7
- Min Signal Quality: 3 stars
- HTF Filter: ON (use H4)
### **For Index Trading (Swing Box Mode):**
- Timeframe: H4 or Daily
- Swing Length: 5
- Min Signal Quality: 4 stars
- HTF Filter: ON (use Daily)
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## 🔔 **ALERTS**
The indicator includes 4 alert types:
1. **🚀 LONG Breakout** - Any long signal
2. **💥 SHORT Breakout** - Any short signal
3. **⭐ 5-STAR LONG** - Perfect 5-star long setup
4. **⭐ 5-STAR SHORT** - Perfect 5-star short setup
**Alert Message Format:**
🚀 LONG BREAKOUT (swing) | Quality: 4/5 | Entry: 1.2345 | TP: 1.2363 | SL: 1.2295
**How to Set Alerts:**
1. Click "Create Alert" button
2. Select alert condition (e.g., "🚀 LONG Breakout")
3. Set alert frequency: "Once Per Bar Close"
4. Name your alert
5. Done! You'll get notified of every signal
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## 💡 **TRADING TIPS & BEST PRACTICES**
### **✅ DO:**
- Wait for bar close before entering (no repainting!)
- Focus on 4-5 star signals for best results
- Use HTF filter in trending markets
- Respect the auto TP/SL levels
- Trade during high volume sessions
- Use proper position sizing
### **❌ DON'T:**
- Enter before bar close (wait for confirmation)
- Ignore the quality rating (stars matter!)
- Trade against strong HTF trend without filter off
- Move stops closer than indicator suggests
- Overtrade - quality over quantity
- Risk more than 1-2% per trade
### **🎯 PRO TIPS:**
**For Swing Box Mode:**
- Best on trending pairs/stocks
- H1/H4 timeframes work best
- Combine with major support/resistance
- Wait for 4+ star signals in choppy markets
**For ORB Mode:**
- Best on volatile stocks/pairs
- First hour usually defines the day
- Higher volume = better breakouts
- Avoid on low volume days (holidays)
- 5-star ORB breakouts are gold!
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## ❓ **FREQUENTLY ASKED QUESTIONS**
**Q: Does this indicator repaint?**
A: NO! All signals appear on bar close and never disappear or change.
**Q: Can I use this on any market?**
A: YES! Works on Forex, Stocks, Crypto, Futures, Indices, Commodities.
**Q: What's the difference between the two modes?**
A: Swing Box = auto-detects consolidation (any timeframe). ORB = opening range breakout (day trading specific time).
**Q: How accurate are the signals?**
A: Focus on 4-5 star signals with HTF filter for 60-70% win rate potential. Lower star signals = lower probability.
**Q: Can I customize the TP/SL percentages?**
A: YES! Fully adjustable in settings.
**Q: What timeframe works best?**
A: Swing Box: H1-Daily | ORB: M5-M15 (for day trading)
**Q: Do I need to watch the chart all day?**
A: NO! Set up alerts and the indicator notifies you of breakouts.
**Q: Can I backtest this?**
A: YES! All signals are visible on historical bars. Test it yourself on demo first.
**Q: Is the HTF filter necessary?**
A: Optional but recommended in trending markets. Improves win rate significantly.
**Q: How do I set up ORB for US stock trading?**
A: Mode: "ORB", Time: "0930-1000", Timezone: "America/New_York", Timeframe: M5 or M15
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## 🎓 **WHAT YOU'LL LEARN**
Using this indicator teaches you:
- How to identify consolidation zones
- When breakouts are most likely to succeed
- Quality over quantity in trading
- Importance of HTF trend context
- Professional risk management (TP/SL)
- Opening Range Breakout strategy
- Box breakout methodology
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## 🚀 **WHY TRADERS LOVE THIS INDICATOR**
✅ **Two Systems in One** - Swing Box + ORB = Amazing value
✅ **Quality Rating** - Know which signals to focus on
✅ **No Repainting** - 100% reliable, signals never change
✅ **Auto TP/SL** - Risk management handled for you
✅ **HTF Filter** - Trade with the trend for higher win rate
✅ **Professional Dashboard** - All info at a glance
✅ **Works Everywhere** - Any market, any timeframe
✅ **Clean Design** - Not cluttered, easy to read
✅ **Full Alerts** - Never miss a setup
✅ **Beginner Friendly** - Easy to understand and use
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## 📊 **TECHNICAL DETAILS**
**Swing Box Detection:**
- Uses pivot high/low logic
- Pattern recognition (4 swing points)
- Filters based on box width and spacing
- Dynamic box sizing
**ORB Detection:**
- Session-based time filtering
- High/low tracking during specified range
- Automatic daily reset
- Timezone-aware calculations
**Signal Quality Algorithm:**
Evaluates 5 factors:
1. Box size (tightness)
2. Volume confirmation
3. HTF trend alignment
4. Breakout cleanliness
5. Momentum strength
**No Repainting:**
- All logic confirmed on bar close
- Variables properly managed with var keyword
- Historical consistency guaranteed
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## 🎁 **BONUS FEATURES**
- Visual swing point markers (toggle on/off)
- Connection lines showing box formation
- Box extends right for easy viewing
- Color-coded signals (green=long, red=short)
- Quality stars on every signal
- Dashboard shows real-time info
- Multiple timezone support
- Fully customizable colors
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## 🏆 **PERFECT FOR:**
👉 Day Traders using ORB strategy
👉 Swing Traders looking for breakouts
👉 Forex Traders on H1/H4
👉 Stock Traders (intraday and swing)
👉 Crypto Traders 24/7
👉 Futures Traders
👉 Beginners learning breakout trading
👉 Experienced traders wanting automation
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## 📖 **STRATEGY GUIDE**
### **Conservative Approach:**
- Only trade 5-star signals
- Use HTF filter ON
- Trade only in direction of HTF trend
- Smaller position sizes
- **Expected Win Rate: 65-75%**
### **Balanced Approach:**
- Trade 4-5 star signals
- Use HTF filter ON
- Respect TP/SL levels
- Standard position sizing
- **Expected Win Rate: 55-65%**
### **Aggressive Approach:**
- Trade 3+ star signals
- HTF filter optional
- Both directions
- Manage trades actively
- **Expected Win Rate: 50-60%**
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## 💎 **UPGRADE YOUR TRADING TODAY**
Stop missing breakouts. Stop drawing boxes manually. Stop guessing which setups are best.
**Let Smart Box Breakout Pro do the heavy lifting!**
✅ Add to your charts now (it's FREE!)
✅ Set up your alerts
✅ Start catching high-quality breakouts
✅ Trade with confidence
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## 📞 **SUPPORT & UPDATES**
Questions? Suggestions? Found it useful?
- Drop a comment below
- Follow for updates and new indicators
- Check out my other professional tools
**Created by ThePipsMaker - Professional Trading Indicators**
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## ⚠️ **DISCLAIMER**
This indicator is for educational purposes. Trading involves risk. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. Test on demo account first.
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**📊 Smart Box Breakout Pro - Your Edge in the Markets! 🎯**
**#BoxBreakout #ORB #OpeningRange #SwingTrading #DayTrading #ForexIndicator #TradingViewIndicator #Breakout #SmartMoney**
Event High/Mid/LowEvent High/Mid/Low - Data Release Level Tracker
Automatically track and visualize high, low, and mid levels from major data events like FOMC announcements, CPI releases, NFP reports, and other market-moving data releases.
KEY FEATURES:
- Customizable event input - Add unlimited events using a simple text format
- Flexible time periods - Set custom duration for each event (15min, 30min, 60min, etc.)
- Visual clarity - Color-coded lines and optional background cloud between high/low
- Clean labels - Minimalist text labels without background boxes
- Fully customizable - Toggle lines, labels, and clouds on/off independently
HOW TO USE:
1. Add the indicator to your chart
2. Open settings and edit the "Event Dates" text area
3. Enter one event per line in this format: YYYY-MM-DD HH:MM Minutes Label
Example: 2025-01-29 14:00 30 Jan FOMC
Example: 2025-02-12 08:30 30 Feb CPI
4. The indicator will automatically capture and display the high, low, and mid levels
WHAT IT DISPLAYS:
- High line (teal) - Highest price during the event period
- Low line (pink) - Lowest price during the event period
- Mid line (yellow, dotted) - Midpoint between high and low
- Background cloud (optional) - Shaded area between high and low
- Event window highlighting - Orange background during active events
PERFECT FOR:
- Tracking key support/resistance levels from economic releases
- Planning entries/exits around FOMC, CPI, NFP, and other data
- Analyzing how price reacts to major announcements
- Identifying post-event trading ranges
SUPPORTED EVENTS:
Works with any scheduled economic release - FOMC, CPI, PPI, NFP, Retail Sales, GDP, and more. Simply input the date, time, duration, and a custom label.
IMPORTANT LIMITATIONS:
- Chart timeframe must be EQUAL TO OR SMALLER than event duration
- For 30-minute events: Use 30min, 15min, 5min, 1min charts (NOT 1H, 4H, Daily)
- For 60-minute events: Use 60min, 30min, 15min, 5min, 1min charts
- For 15-minute events: Use 15min, 5min, 1min charts
- If your chart timeframe is larger than the event duration, the indicator may not capture accurate high/low values
- Recommended: Use 5-minute or 1-minute charts for maximum accuracy on all event durations
NOTES:
- All times are in EST/EDT (America/New_York timezone)
- Comments starting with # are ignored, making it easy to organize and annotate your event list
- The indicator processes events only after the specified duration has elapsed
[Saga Trading] Liquidation Leverages ProSaga Trading – Liquidation Leverages Pro
Liquidation Leverages Pro is a powerful TradingView indicator designed to map the real-time liquidation levels of traders using leverage from 1x up to 100x on Bitget futures. By calculating the theoretical liquidation price of each leverage tier, the tool reveals where the majority of leveraged positions become vulnerable — and where Market Makers have incentives to drive price.
The indicator visually displays these liquidation levels directly on the chart, allowing traders to instantly identify liquidity pools, liquidation clusters, stop-hunt zones, and high-risk areas. Each leverage tier can be toggled on or off, and clusters of overlapping liquidation levels are automatically highlighted to expose areas where forced liquidations could trigger sharp market moves.
This tool provides deep insight into the behavior and positioning of the majority, helping traders understand where the next engineered move is most likely to occur. When combined with order-flow tools made by Saga Trading such as Aggregated CVD Pro, Synthetic OrderBook, and Open Interest, Liquidation Leverages Pro becomes an essential component of a full liquidity-based trading system.
Whether you scalp, swing trade, or analyze derivatives, this indicator gives you a decisive advantage by showing exactly where the market is most fragile — and where the next cascade can begin.
CTS Dashmatrix MTF by Tony-TechCTS Dashmatrix MTF by Tony-Tech
The CTS Dashmatrix MTF is a multi-timeframe trend and swing-structure dashboard designed to give traders a fast, accurate view of market conditions across key timeframes. It combines ADX trend direction and pivot-based swing analysis into a compact visual matrix that updates in real time.
This tool helps traders quickly identify:
Overall trend direction (Bullish or Bearish)
Swing structure shifts (Higher Lows, Lower Highs, reversals)
Multi-TF alignment from D1 → H4 → H1 → M15 → M5
Trend strength & directional confluence
The dashboard uses simple color logic:
Green = Bullish bias
Red = Bearish bias
Silver = Neutral swing
Whether you trade intraday or swing, the CTS Dashmatrix gives instant clarity on market bias at a glance. It is best used with price action, smart money concepts, or trend-following strategies.
CTSA - Clear Trend and Swing Alert by Tony-TechCTSA – Clear Trend & Swing Alert
CTSA (Clear Trend & Swing Alert) is a precision market-structure indicator designed for traders who want high-quality swing, trend, and continuation signals across Forex, Crypto, Indices, and Commodities.
The indicator automatically analyzes swing points, trend direction, momentum, volatility, volume, and EMA structure to generate optimized BUY and SELL alerts. It adapts to different asset classes and trading styles through an intelligent Preset Engine, providing ideal settings for Intraday, Swing, or Position trading.
CTSA identifies:
Trend Continuation Signals
Trend Pullback Entries
Reversal Opportunities
HH/HL/LH/LL Swing Structures
Smart Exits using Opposite Signals or Trend Flip
The dashboard provides an at-a-glance view of market conditions including trend status, swing type, RSI, ADX, volume strength, EMA bias, and ADR levels.
CTSA is built for traders who want clean, actionable alerts, strong confluence, and a simplified decision-making workflow—whether scalping M15 or swing-trading H1/H4.
TPO (Almost)Plots the TPO levels based off of 5 mins candles of the previous day (historical as well) with great precision
Michael's FVG Detector═══════════════════════════════════════
Michael's FVG Detector
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A clean and efficient Fair Value Gap (FVG) indicator for TradingView that helps traders identify market imbalances with precision.
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Overview
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Fair Value Gaps (FVGs) are price inefficiencies that occur when there's a gap between the wicks of candlesticks, indicating rapid price movement with minimal trading activity. These gaps often act as support/resistance zones where price may return to "fill the gap."
This indicator automatically detects and visualizes both bullish and bearish FVGs on any timeframe, making it easy to spot potential trading opportunities.
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Features
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Core Functionality
Automatic FVG Detection : Identifies Fair Value Gaps in real-time as they form
Bullish & Bearish FVGs : Detects both upward and downward price gaps
3-Candle Pattern : Uses classic FVG logic (current candle low > high from 2 bars ago for bullish, vice versa for bearish)
Gap Size Display : Shows the exact size of each FVG in ticks directly on the box
Confirmed Bars Only : Only draws FVGs on confirmed bars to prevent repainting
Customization
Color Settings : Fully customizable colors for bullish and bearish FVGs with transparency control
Text Color : Configurable color for the tick size labels
Default Styling : Comes with sensible defaults (20% transparency, dark gray labels)
Performance Optimization
Smart Cleanup : Automatically removes boxes outside the visible chart area
Efficient Rendering : Maintains optimal performance even on lower timeframes
No Repainting : Uses confirmed bars only for reliable signals
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How It Works
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Detection Logic
Bullish FVG:
Current bar's low is higher than the high from 2 bars ago
Creates an upward gap that price left behind during bullish momentum
Bearish FVG:
Current bar's high is lower than the low from 2 bars ago
Creates a downward gap that price left behind during bearish momentum
Visual Display
Each detected FVG is displayed as:
A semi-transparent colored box spanning the gap area
The box extends from bar -2 to the current bar
Gap size in ticks shown at the bottom-left of each box
Singular/plural formatting ("1 tick" vs "X ticks")
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Performance Notes
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Cleanup runs every 50 bars to maintain optimal performance
Only creates boxes on confirmed bars (no real-time repainting)
Efficiently manages memory by removing off-screen boxes
Suitable for both manual and automated trading strategies
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Disclaimer
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This indicator is for educational and informational purposes only. It is not financial advice. Always do your own research and risk management before making trading decisions.
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Author : Michael
Version : 1.0
License : Free for personal use
Last Updated : November 2025
🎯 Wyckoff Order Block Entry System🎯 Wyckoff Order Block Entry System
📝 INDICATOR DESCRIPTION
🎯 Wyckoff Order Block Entry System Short Description:
Professional institutional zone trading combined with Wyckoff methodology. Identifies high-probability entries where smart money meets classic price action patterns.
Full Description:
Wyckoff Order Block Entry System is a precision trading tool that combines two powerful concepts:
Order Blocks - Institutional zones where large players place their orders
Wyckoff Method - Classic price action patterns revealing smart money behavior
🎯 What Makes This Different?
Unlike traditional indicators that flood your chart with signals, this system only triggers entries when BOTH conditions are met:
Price enters an institutional Order Block zone (current timeframe OR higher timeframe)
A Wyckoff pattern occurs (Spring, SOS, Upthrust, or SOW)
This dual-confirmation approach ensures you're trading with institutional flow at optimal entry points.
📊 Key Features:
✅ Order Block Detection
Automatically identifies institutional buying/selling zones
Current timeframe order blocks (solid lines)
Higher timeframe order blocks (dashed lines) for stronger zones
Customizable strength and extension settings
✅ 4 Wyckoff Entry Patterns
SPRING (Bullish Reversal): Fake breakdown below support → Quick recovery
SOS (Sign of Strength): Strong bullish candle after accumulation
UPTHRUST (Bearish Reversal): Fake breakout above resistance → Quick rejection
SOW (Sign of Weakness): Strong bearish candle after distribution
✅ Clean Visual Design
Minimalist approach - only essential information
Color-coded zones (Green = Bullish, Red = Bearish, Cyan/Magenta = HTF)
Clear entry signals with pattern type labels
No chart clutter - focus on what matters
✅ Multi-Timeframe Analysis
Integrates higher timeframe order blocks
HTF signals marked with "+HTF" tag for extra confidence
Fully customizable HTF selection (H1, H4, Daily, etc.)
✅ Smart Alerts
Entry signal alerts (Long/Short)
Order block formation alerts
HTF order block alerts
Customizable alert messages
💡 How To Use:
Setup: Add indicator to your chart, configure HTF timeframe (default H1)
Wait: Let order blocks form (green/red boxes appear)
Watch: Price returns to order block zone
Entry: Signal appears when Wyckoff pattern confirms
Trade: Enter with the signal, stop below/above order block
📈 Best For:
Forex pairs (all majors and crosses)
Gold (XAUUSD)
Crypto (BTC, ETH, etc.)
Indices (SPX, NAS100, etc.)
Stocks
Commodities
⏱️ Recommended Timeframes:
M15 for scalping
M30 for day trading
H1 for swing trading
H4 for position trading
🎯 Win Rate Expectations:
Current TF signals: 60-70%
HTF signals (+HTF tag): 70-80%
Spring/Upthrust patterns: Highest probability
Works on ALL liquid markets
⚙️ Customizable Settings:
Order block detection parameters
HTF timeframe selection
Wyckoff sensitivity (swing length, volume threshold)
Zone extension duration
Color schemes
📚 Trading Strategy:
This indicator works best when:
Trading in the direction of higher timeframe trend
Using proper risk management (1-2% per trade)
Placing stops just outside order block zones
Taking profits at opposite order blocks
Focusing on HTF signals for higher quality
🔒 Risk Management:
Always use stop losses! Recommended placement:
LONG: 10-20 pips below order block
SHORT: 10-20 pips above order block
Target: Minimum 1:2 risk/reward ratio
💎 Why Traders Love This System:
"Finally, an indicator that doesn't spam my chart with useless signals!" - The quality-over-quantity approach means you only get high-probability setups.
"The HTF order blocks changed my trading!" - Multi-timeframe analysis built-in removes the need for manual higher timeframe checks.
"Wyckoff + Order Blocks = Perfect combination!" - Two proven concepts working together create powerful confluence.
📊 Universal Application:
This system works on ANY liquid market with sufficient volume:
✅ Forex (EUR/USD, GBP/USD, USD/JPY, etc.)
✅ Commodities (Gold, Silver, Oil, etc.)
✅ Indices (S&P 500, NASDAQ, DAX, etc.)
✅ Cryptocurrencies (Bitcoin, Ethereum, etc.)
✅ Stocks (Large cap with good liquidity)
🎓 Educational Value:
Beyond just signals, this indicator teaches you:
How institutional traders think
Where smart money places orders
Classic Wyckoff accumulation/distribution patterns
Multi-timeframe analysis techniques
⚡ Performance:
Lightning-fast calculations
No repainting
Real-time signal generation
Clean code, optimized for speed
🚀 Get Started:
Add to your favorite chart
Adjust HTF timeframe to match your trading style
Wait for high-quality signals
Trade with confidence
Remember: Quality beats quantity. This system prioritizes precision over frequency. You might see 2-5 signals per day on M30 - and that's exactly the point. Each signal is carefully filtered for maximum probability.
Ready to trade like institutions?
👉 Add this indicator to your chart now
👉 Configure your preferred HTF timeframe
👉 Start catching high-probability setups
👉 Trade smarter, not harder
Questions or feedback? Drop a comment below!
Found this useful? Hit that ⭐ button and share with fellow traders!
Happy Trading! 🚀📈
MTF-CPR TableTable gives you CPR values based on Camarilla calculation with S&R 3 & 4 Levels...
Highlights the cell green when Price is in range and marks the Pivot Red when we have a Narrow CPR range...
Enjoy!!
Street Sweeper ProThis was Made by The Boripips himself to Help Traders Spot The Liquidity Sweeps, if your part of the community then you know to use this with your eyes closed.
LE LevelsGENERAL OVERVIEW:
The LE Levels indicator plots yesterday’s high/low and today’s pre-market high/low directly on your chart, then layers signal logic around those levels and a set of EMA waves. You can choose “Inside” setups, “Outside” setups, or both. You can also pick entries that trigger at levels, entries that trigger off the EMA wave, or both.
This indicator was developed by Flux Charts in collaboration with Ellis Dillinger (Ellydtrades).
What is the purpose of the indicator?:
The purpose of the LE Levels indicator is to give traders a clear view of how price is behaving around key session levels and EMA structure. It follows the same model EllyD teaches by showing where price is relative to the Previous Day High and Low and the Pre-Market High and Low, then printing signals when specific reactions occur around those levels.
What is the theory behind the indicator?:
The theory behind the LE Levels indicator is based on the concept of inside and outside days. An inside day occurs when price trades within the previous day’s high and low, signaling compression and potential breakout conditions. An outside day occurs when price moves beyond those boundaries, confirming expansion and directional bias. When price trades above the PDH or PMH, it reflects bullish control and potential continuation if supported by volume and momentum. When price trades below the PDL or PML, it shows bearish control and possible downside continuation. The idea is to combine this logic with tickers that have catalysts or news, since these events often bring higher-than-normal volume.
LE SCANNER FEATURES:
Key Levels
Signals
EMA Waves
Key Levels:
The LE Levels indicator automatically plots four key levels each day:
Previous Day High (PDH)
Previous Day Low (PDL)
Pre-Market High (PMH)
Pre-Market Low (PML)
🔹How are Key Levels used in the indicator?:
The key levels are a crucial factor in determining if the trend is bullish, bearish, or neutral trend bias. The indicator uses the key levels as a condition for identifying inside or outside setups (explained below). After determining a trend bias and setup type, the indicator prints long and short entry signals based on how price interacts with the key levels and 8 EMA Wave. (explained below).
These levels define where price previously reacted or reversed, helping traders visualize how current price action relates to prior session structure. They update automatically each day and pre-market session, allowing traders to see if price is trading inside, above, or below prior key ranges without manually drawing them.
Please Note: Pre-market times are based on U.S. market hours (Eastern Standard Time) and may vary for non-U.S. tickers or exchanges.
🔹Previous Day High (PDH):
The PDH marks the highest price reached during the previous regular trading session. It shows where buyers pushed price to its highest point before the market closed. This value is automatically pulled from the daily chart and projected forward onto intraday timeframes.
🔹Previous Day Low (PDL):
The PDL marks the lowest price reached during the previous regular trading session. It shows where selling pressure reached its lowest point before buyers stepped in. Like the PDH, this level is retrieved from the prior day’s data and extended into the current session.
🔹Pre-Market High (PMH):
The PMH is the highest price reached between 4:00 AM and 9:29 AM EST, before the regular market open. It shows how far buyers managed to push price up during the pre-market session.
🔹Pre-Market Low (PML):
The PML is the lowest price reached between 4:00 AM and 9:29 AM EST, before the regular market open. It shows how far sellers were able to drive price down during the pre-market session.
🔹Customization Options:
Extend Levels:
Extends each plotted line a user-defined number of bars into the future, keeping them visible even as new candles print. This helps maintain a clear visual reference as the session progresses.
Extend PDH/L Left & Extend PMH/L Left:
These settings let you extend the Previous Day and Pre-Market levels back to their origin point, so you can see exactly where each level was formed on the prior trading day. This makes it easy to understand the context of each level and how it developed. When this option is disabled, the lines begin at the regular session open instead of extending backward into the previous day’s data.
Show Name / Show Price:
Enabling Show Name displays labels (PDH, PDL, PMH, PML) beside each line, while Show Price adds the exact price value. You can choose to show just the name, just the price, or both for a complete label format.
Line Color and Style:
Each level can be fully customized. You can change the line color and select between solid, dashed, or dotted styles to visually distinguish each level type.
At the bottom of the indicator settings, under the ‘Miscellaneous’ section, two additional options allow further control over how levels are displayed:
Hide Previous Day Highs/Lows:
When enabled, the previous day’s high and low levels aren’t shown. When disabled, users can view previous day levels without using replay mode. By default, this setting is enabled.
Disabled:
Enabled:
Hide Previous Pre-Market Highs/Lows:
When enabled, the previous pre-market high and low levels aren’t shown. When disabled, users can view previous pre-market levels without using replay mode. By default, this setting is enabled.
Disabled:
Enabled:
Signals:
The LE Levels indicator automatically prints long and short entry signals based on how price interacts with its key levels (PDH, PDL, PMH, PML) and the EMA Waves. It identifies moments when price either breaks out beyond prior ranges or retests those levels in alignment with momentum shown by the EMA Waves.
There are two types of setups (Inside and Outside) and two entry types ((L)evels and (E)MAs). Together, these settings allow traders to customize the type of structure the indicator recognizes and how signals are generated.
🔹What is an Inside Setup?
An Inside Setup occurs when the current trading session forms entirely within the previous day’s range, meaning price has not yet broken above the Previous Day High (PDH) or below the Previous Day Low (PDL). In the LE Levels indicator, inside setups are recognized when price trades within the previous day’s boundaries while also considering the pre-market range (Pre-Market High and Pre-Market Low).
Inside Setups have two main conditions, depending on directional bias:
Bullish Inside Setup:
Price trades above the Pre-Market High (PMH) and above the Previous Day Low (PDL), while still below the Previous Day High (PDH).
Bearish Inside Setup:
Price trades below the Pre-Market Low (PML) and below the Previous Day High (PDH), while still above the Previous Day Low (PDL).
🔹What is an Outside Setup?
An Outside Setup occurs when the current trading session extends beyond the previous day’s range, meaning price has broken above the Previous Day High (PDH) or below the Previous Day Low (PDL). This structure reflects expansion and directional control, showing that either buyers or sellers have taken price into new territory beyond the prior session’s boundaries.
In the indicator, an Outside Setup forms once price closes beyond both the previous day and pre-market boundaries, showing bias in one direction.
Bullish Outside Setup:
Price closes above both the PDH and the PMH, confirming buyers have pushed through every key resistance from the prior session and the pre-market.
Bearish Outside Setup:
Price closes below both the PDL and the PML, showing sellers have pushed price beneath all key support levels from the previous session and the pre-market.
🔹Entry Types: (L)evels and (E)MAs
Once a setup type (Inside or Outside) has been established, the LE Levels indicator generates trade signals using one of two entry confirmation methods: (L) for Key Level based Entries and (E) for EMA Wave based Entries. These determine how the signal prints and what triggers it within.
🔹(L)evels Entry:
The (L)evels entry type is built around how price reacts to the key levels (PDH, PDL, PMH, PML). It prints when price retests those levels during an active setup. The logic focuses on retests, where price returns to confirm a previous breakout or breakdown before continuing in the same direction.
Bullish Outside (L)evels Setup:
A Bullish Outside Setup forms when price breaks above both the PDH and PMH. Once this breakout occurs, the indicator waits for a pullback to one of those levels. For a signal to print, the 8 EMA Wave must also be near that level, showing momentum is supporting the structure. A small buffer is applied between price and the level so that even if price only comes close, without fully touching, the retest still counts. When price holds above the PDH or PMH with the 8 EMA nearby, the indicator prints an (L) ▲ entry.
Bearish Outside (L)evels Setup:
A Bearish Outside Setup forms when price breaks below both the PDL and PML. Once this breakdown occurs, the indicator waits for a pullback to one of those levels. For a signal to print, the 8 EMA Wave must also be near that area, confirming momentum is aligned with the move. A small buffer is included so that even if price comes close but doesn’t fully touch the level, the retest still qualifies. When price holds below the PDL or PML with the 8 EMA nearby, the indicator prints an (L) ▼ entry.
Bullish Inside (L)evels Setup:
A Bullish Inside Setup forms when price trades above the PMH but stays below the PDH and above the PDL. Once this condition is met, the indicator waits for a pullback to the PMH. For a signal to print, the 8 EMA Wave must also be near that level. A small buffer is applied so that even if price only comes close to the level, the retest still counts. When price holds above the PMH with the 8 EMA nearby, the indicator prints an (L) ▲ entry.
Bearish Inside (L)evels Setup:
A Bearish Inside Setup forms when price trades below the PML but stays above the PDL and below the PDH. Once this condition is met, the indicator waits for a pullback to the PML. For a signal to print, the 8 EMA Wave must also be near that level. A small buffer is applied so that even if price only comes close, the retest still counts. When price holds below the PML with the 8 EMA nearby, the indicator prints an (L) ▼ entry.
🔹(E)MAs Entry:
The (E)MA Entry type focuses on how price reacts to the 8 EMA Wave. It identifies when price first interacts with the EMAs, then confirms continuation once momentum resumes in the setup’s direction. The first candle that touches the EMA prints an (E) marker, and the confirmation signal triggers only after price breaks above or below that candle, depending on the bias.
Bullish Outside (E)MA Setup:
A Bullish Outside Setup forms when price is trading above both the PDH and PMH. Once this breakout occurs, the indicator waits for price to pull back and touch the 8 EMA Wave, which prints the initial (E) label. If price then breaks above that candle’s high, the continuation setup is confirmed.
Bearish Outside (E)MA Setup:
A Bearish Outside Setup forms when price is trading below both the PDL and PML. After the breakdown, the indicator waits for price to pull back to the 8 EMA Wave, marking the candle that touches it with an (E) label. If price then breaks below that candle’s low, the continuation setup is confirmed.
Bullish Inside (E)MA Setup:
A Bullish Inside Setup forms when price trades above the PMH but remains below the PDH and above the PDL. The indicator waits for price to retrace and touch the 8 EMA Wave, which prints the initial (E) label. If price then breaks above that candle’s high, the continuation setup is confirmed.
Bearish Inside (E)MA Setup:
A Bearish Inside Setup forms when price trades below the PML but remains above the PDL and below the PDH. Once price touches the 8 EMA Wave, the indicator prints an (E) marker. If price then breaks below that candle’s low, the continuation setup is confirmed.
🔹Signal Settings:
At the bottom of the indicator settings panel, three core controls define how signals are displayed and which setups the indicator actively scans for. These settings allow you to refine signal generation based on your trading approach and chart preference.
Setup Type:
This setting determines which structural conditions the indicator tracks.
Inside Setups: Signals only appear when price is trading within the previous day’s range (between PDH and PDL).
Outside Setups: Signals only appear when price breaks outside the previous day’s range (above PDH/PMH or below PDL/PML).
Both: Enables signals for both Inside and Outside setups.
Entry Type:
Controls how the indicator confirms entries.
(E)MAs: Prints signals based on price interacting with the 8 EMA Wave.
(L)evels: Prints signals based on price retesting key levels such as PDH, PDL, PMH, or PML.
Both: Allows both EMA and Level-based signals to appear on the same chart.
Signal Filters (Long, Short, and Re-Entry):
These toggles let you control which trade directions are active.
Long: Displays only bullish entries and ignores all short setups.
Short: Displays only bearish entries and ignores long setups.
Re-Entry: Enables or disables repeated signals in the same direction after the first valid setup has printed. When off, only the initial signal is shown until conditions reset.
EMA Waves:
The EMA Waves help identify potential entries and show directional bias. They’re made of grouped EMAs that form shaded areas to create a “wave” look. The color-coding on the waves allows users to view when price is consolidating, in a bullish trend, or in a bearish trend. The wave updates in real time as new candles form and does not repaint historical data.
🔹8 EMA Wave
The 8 EMA Wave is used directly in the indicator’s signal logic described earlier. It reacts fastest to price compared to the other EAM Waves and determines when (L) and (E) signals can trigger.
How It Works:
The wave is made from the 8, 9, and 10 EMAs and fills the space between them to create a “wave” look. The 8 EMA Wave continuously updates its color based on where price trades relative to the key levels (PDH, PDL, PMH, PML). The color changes are conditional and based solely on price position relative to key levels.
Price is above both PDH and PMH: The wave is bright green, and the top half is purple.
Price is between PDH and PMH: The wave is dark green, and the top half is purple.
Price is below both PDL and PML: The wave is bright red, and the bottom half is purple.
Price is between PDL and PML: The wave is dark red, and the bottom half is purple.
Price is between all four levels: The wave is gray to represent consolidation or neutral bias.
🔹8 EMA Wave Signal Function:
For (L)evels entries, the 8 EMA must be close to the key level being retested, with a small buffer that allows near touches to qualify.
For (E)MA entries, the first candle that touches the wave prints an (E), and the confirmation signal appears when price breaks that candle’s high or low.
🔹8 EMA Wave Customization:
Users can customize all colors for bullish, bearish, and neutral conditions directly in the settings. The purple overlay color cannot be changed, as it is hard-coded into the indicator. The 8 EMA Wave can also be toggled on or off. Turning it off only removes the visual display from the chart and does not affect signals.
🔹20 EMA Wave
The 20 EMA Wave measures medium-term momentum and helps visualize larger pullbacks. It reacts more slowly than the 8 EMA Wave, giving a smoother wave look. No signals are generated from it. It’s purely a visual guide for spotting potential pullback areas for continuation setups.
How It Works:
The wave is made from the 19, 20, and 21 EMAs and fills the space between them to create a shaded “wave.” The color updates continuously based on where price trades relative to the key levels (PDH, PDL, PMH, PML). The color changes are conditional and based only on price position relative to these levels.
Price is above both PDH and PMH: The wave is bright green, and the top half is blue.
Price is between PDH and PMH: The wave is dark green, and the top half is blue.
Price is below both PDL and PML: The wave is bright red, and the bottom half is blue.
Price is between PDL and PML: The wave is dark red, and the bottom half is blue.
Price is between all four levels: The wave is gray to represent consolidation or neutral bias.
🔹20 EMA Wave Use Case:
After 12:00 PM EST, the 20 EMA Wave is used to spot larger pullbacks that form later in the session. No signals are generated from it; it only serves as a visual guide for identifying potential continuation areas.
Bullish Continuation Pullback:
Bearish Continuation Pullback:
🔹20 EMA Wave Customization:
Users can customize all colors for bullish, bearish, and neutral conditions directly in the settings. The blue overlay color cannot be changed, as it is hard-coded into the indicator. The 20 EMA Wave can also be toggled on or off.
🔹200 EMA Wave
The 200 EMA Wave is used to determine long-term trend bias. When price is above it, the bias is bullish; when price is below it, the bias is bearish. It updates automatically in real time and is used to define the broader directional bias for the day.
How it Works:
The 200 EMA Wave is created using the 190, 199, and 200 EMAs, with the area between them shaded to form a “wave.”
🔹200 EMA Wave Use Case:
When price is above the 200 EMA Wave and both the 8 and 20 EMA Waves are stacked above it, the overall trend is bullish.
When price is below the 200 EMA Wave and both shorter-term waves are also below it, the overall trend is bearish.
🔹200 EMA Wave Customization:
Users can customize both colors that form the 200 EMA Wave. The entire wave can also be toggled on or off in the settings.
Uniqueness:
The LE Levels indicator is unique because it combines signal logic with a clear visual structure. It automatically detects inside and outside setups, printing (L) and (E) entries based on how price reacts to key levels and the EMA Waves. Each signal follows strict conditions tied to the 8 EMA and key levels. The color-coded EMA Waves make it simple to understand where price is in relation to the key levels and getting a quick trend bias overview.
Reversal Point Dynamics - Machine Learning⇋ Reversal Point Dynamics - Machine Learning
RPD Machine Learning: Self-Adaptive Multi-Armed Bandit Trading System
RPD Machine Learning is an advanced algorithmic trading system that implements genuine machine learning through contextual multi-armed bandits, reinforcement learning, and online adaptation. Unlike traditional indicators that use fixed rules, RPD learns from every trade outcome , automatically discovers which strategies work in current market conditions, and continuously adapts without manual intervention .
Core Innovation: The system deploys six distinct trading policies (ranging from aggressive trend-following to conservative range-bound strategies) and uses LinUCB contextual bandit algorithms with Random Fourier Features to learn which policy performs best in each market regime. After the initial learning phase (50-100 trades), the system achieves autonomous adaptation , automatically shifting between policies as market conditions evolve.
Target Users: Quantitative traders, algorithmic trading developers, systematic traders, and data-driven investors who want a system that adapts over time . Suitable for stocks, futures, forex, and cryptocurrency on any liquid instrument with >100k daily volume.
The Problem This System Solves
Traditional Technical Analysis Limitations
Most trading systems suffer from three fundamental challenges :
Fixed Parameters: Static settings (like "buy when RSI < 30") work well in backtests but may struggle when markets change character. What worked in low-volatility environments may not work in high-volatility regimes.
Strategy Degradation: Manual optimization (curve-fitting) produces systems that perform well on historical data but may underperform in live trading. The system never adapts to new market conditions.
Cognitive Overload: Running multiple strategies simultaneously forces traders to manually decide which one to trust. This leads to hesitation, late entries, and inconsistent execution.
How RPD Machine Learning Addresses These Challenges
Automated Strategy Selection: Instead of requiring you to choose between trend-following and mean-reversion strategies, RPD runs all six policies simultaneously and uses machine learning to automatically select the best one for current conditions. The decision happens algorithmically, removing human hesitation.
Continuous Learning: After every trade, the system updates its understanding of which policies are working. If the market shifts from trending to ranging, RPD automatically detects this through changing performance patterns and adjusts selection accordingly.
Context-Aware Decisions: Unlike simple voting systems that treat all conditions equally, RPD analyzes market context (ADX regime, entropy levels, volatility state, volume patterns, time of day, historical performance) and learns which combinations of context features correlate with policy success.
Machine Learning Architecture: What Makes This "Real" ML
Component 1: Contextual Multi-Armed Bandits (LinUCB)
What Is a Multi-Armed Bandit Problem?
Imagine facing six slot machines, each with unknown payout rates. The exploration-exploitation dilemma asks: Should you keep pulling the machine that's worked well (exploitation) or try others that might be better (exploration)? RPD solves this for trading policies.
Academic Foundation:
RPD implements Linear Upper Confidence Bound (LinUCB) from the research paper "A Contextual-Bandit Approach to Personalized News Article Recommendation" (Li et al., 2010, WWW Conference). This algorithm is used in content recommendation and ad placement systems.
How It Works:
Each policy (AggressiveTrend, ConservativeRange, VolatilityBreakout, etc.) is treated as an "arm." The system maintains:
Reward History: Tracks wins/losses for each policy
Contextual Features: Current market state (8-10 features including ADX, entropy, volatility, volume)
Uncertainty Estimates: Confidence in each policy's performance
UCB Formula: predicted_reward + α × uncertainty
The system selects the policy with highest UCB score , balancing proven performance (predicted_reward) with potential for discovery (uncertainty bonus). Initially, all policies have high uncertainty, so the system explores broadly. After 50-100 trades, uncertainty decreases, and the system focuses on known-performing policies.
Why This Matters:
Traditional systems pick strategies based on historical backtests or user preference. RPD learns from actual outcomes in your specific market, on your timeframe, with your execution characteristics.
Component 2: Random Fourier Features (RFF)
The Non-Linearity Challenge:
Market relationships are often non-linear. High ADX may indicate favorable conditions when volatility is normal, but unfavorable when volatility spikes. Simple linear models struggle to capture these interactions.
Academic Foundation:
RPD implements Random Fourier Features from "Random Features for Large-Scale Kernel Machines" (Rahimi & Recht, 2007, NIPS). This technique approximates kernel methods (like Support Vector Machines) while maintaining computational efficiency for real-time trading.
How It Works:
The system transforms base features (ADX, entropy, volatility, etc.) into a higher-dimensional space using random projections and cosine transformations:
Input: 8 base features
Projection: Through random Gaussian weights
Transformation: cos(W×features + b)
Output: 16 RFF dimensions
This allows the bandit to learn non-linear relationships between market context and policy success. For example: "AggressiveTrend performs well when ADX >25 AND entropy <0.6 AND hour >9" becomes naturally encoded in the RFF space.
Why This Matters:
Without RFF, the system could only learn "this policy has X% historical performance." With RFF, it learns "this policy performs differently in these specific contexts" - enabling more nuanced selection.
Component 3: Reinforcement Learning Stack
Beyond bandits, RPD implements a complete RL framework :
Q-Learning: Value-based RL that learns state-action values. Maps 54 discrete market states (trend×volatility×RSI×volume combinations) to 5 actions (4 policies + no-trade). Updates via Bellman equation after each trade. Converges toward optimal policy after 100-200 trades.
TD(λ) with Eligibility Traces: Extension of Q-Learning that propagates credit backwards through time . When a trade produces an outcome, TD(λ) updates not just the final state-action but all states visited during the trade, weighted by eligibility decay (λ=0.90). This accelerates learning from multi-bar trades.
Policy Gradient (REINFORCE): Learns a stochastic policy directly from 12 continuous market features without discretization. Uses gradient ascent to increase probability of actions that led to positive outcomes. Includes baseline (average reward) for variance reduction.
Meta-Learning: The system learns how to learn by adapting its own learning rates based on feature stability and correlation with outcomes. If a feature (like volume ratio) consistently correlates with success, its learning rate increases. If unstable, rate decreases.
Why This Matters:
Q-Learning provides fast discrete decisions. Policy Gradient handles continuous features. TD(λ) accelerates learning. Meta-learning optimizes the optimization. Together, they create a robust, multi-approach learning system that adapts more quickly than any single algorithm.
Component 4: Policy Momentum Tracking (v2 Feature)
The Recency Challenge:
Standard bandits treat all historical data equally. If a policy performed well historically but struggles in current conditions due to regime shift, the system may be slow to adapt because historical success outweighs recent underperformance.
RPD's Solution:
Each policy maintains a ring buffer of the last 10 outcomes. The system calculates:
Momentum: recent_win_rate - global_win_rate (range: -1 to +1)
Confidence: consistency of recent results (1 - variance)
Policies with positive momentum (recent outperformance) get an exploration bonus. Policies with negative momentum and high confidence (consistent recent underperformance) receive a selection penalty.
Effect: When markets shift, the system detects the shift more quickly through momentum tracking, enabling faster adaptation than standard bandits.
Signal Generation: The Core Algorithm
Multi-Timeframe Fractal Detection
RPD identifies reversal points using three complementary methods :
1. Quantum State Analysis:
Divides price range into discrete states (default: 6 levels)
Peak signals require price in top states (≥ state 5)
Valley signals require price in bottom states (≤ state 1)
Prevents mid-range signals that may struggle in strong trends
2. Fractal Geometry:
Identifies swing highs/lows using configurable fractal strength
Confirms local extremum with neighboring bars
Validates reversal only if price crosses prior extreme
3. Multi-Timeframe Confirmation:
Analyzes higher timeframe (4× default) for alignment
MTF confirmation adds probability bonus
Designed to reduce false signals while preserving valid setups
Probability Scoring System
Each signal receives a dynamic probability score (40-99%) based on:
Base Components:
Trend Strength: EMA(velocity) / ATR × 30 points
Entropy Quality: (1 - entropy) × 10 points
Starting baseline: 40 points
Enhancement Bonuses:
Divergence Detection: +20 points (price/momentum divergence)
RSI Extremes: +8 points (RSI >65 for peaks, <40 for valleys)
Volume Confirmation: +5 points (volume >1.2× average)
Adaptive Momentum: +10 points (strong directional velocity)
MTF Alignment: +12 points (higher timeframe confirms)
Range Factor: (high-low)/ATR × 3 - 1.5 points (volatility adjustment)
Regime Bonus: +8 points (trending ADX >25 with directional agreement)
Penalties:
High Entropy: -5 points (entropy >0.85, chaotic price action)
Consolidation Regime: -10 points (ADX <20, no directional conviction)
Final Score: Clamped to 40-99% range, classified as ELITE (>85%), STRONG (75-85%), GOOD (65-75%), or FAIR (<65%)
Entropy-Based Quality Filter
What Is Entropy?
Entropy measures randomness in price changes . Low entropy indicates orderly, directional moves. High entropy indicates chaotic, unpredictable conditions.
Calculation:
Count up/down price changes over adaptive period
Calculate probability: p = ups / total_changes
Shannon entropy: -p×log(p) - (1-p)×log(1-p)
Normalized to 0-1 range
Application:
Entropy <0.5: Highly ordered (ELITE signals possible)
Entropy 0.5-0.75: Mixed (GOOD signals)
Entropy >0.85: Chaotic (signals blocked or heavily penalized)
Why This Matters:
Prevents trading during choppy, news-driven conditions where technical patterns may be less reliable. Automatically raises quality bar when market is unpredictable.
Regime Detection & Market Microstructure - ADX-Based Regime Classification
RPD uses Wilder's Average Directional Index to classify markets:
Bull Trend: ADX >25, +DI > -DI (directional conviction bullish)
Bear Trend: ADX >25, +DI < -DI (directional conviction bearish)
Consolidation: ADX <20 (no directional conviction)
Transitional: ADX 20-25 (forming direction, ambiguous)
Filter Logic:
Blocks all signals during Transitional regime (avoids trading during uncertain conditions)
Blocks Consolidation signals unless ADX ≥ Min Trend Strength
Adds probability bonus during strong trends (ADX >30)
Effect: Designed to reduce signal frequency while focusing on higher-quality setups.
Divergence Detection
Bearish Divergence:
Price makes higher high
Velocity (price momentum) makes lower high
Indicates weakening upward pressure → SHORT signal quality boost
Bullish Divergence:
Price makes lower low
Velocity makes higher low
Indicates weakening downward pressure → LONG signal quality boost
Bonus: Adds probability points and additional acceleration factor. Divergence signals have historically shown higher success rates in testing.
Hierarchical Policy System - The Six Trading Policies
1. AggressiveTrend (Policy 0):
Probability Threshold: 60% (trades more frequently)
Entropy Threshold: 0.70 (tolerates moderate chaos)
Stop Multiplier: 2.5× ATR (wider stops for trends)
Target Multiplier: 5.0R (larger targets)
Entry Mode: Pyramid (scales into winners)
Best For: Strong trending markets, breakouts, momentum continuation
2. ConservativeRange (Policy 1):
Probability Threshold: 75% (more selective)
Entropy Threshold: 0.60 (requires order)
Stop Multiplier: 1.8× ATR (tighter stops)
Target Multiplier: 3.0R (modest targets)
Entry Mode: Single (one-shot entries)
Best For: Range-bound markets, low volatility, mean reversion
3. VolatilityBreakout (Policy 2):
Probability Threshold: 65% (moderate)
Entropy Threshold: 0.80 (accepts high entropy)
Stop Multiplier: 3.0× ATR (wider stops)
Target Multiplier: 6.0R (larger targets)
Entry Mode: Tiered (splits entry)
Best For: Compression breakouts, post-consolidation moves, gap opens
4. EntropyScalp (Policy 3):
Probability Threshold: 80% (very selective)
Entropy Threshold: 0.40 (requires extreme order)
Stop Multiplier: 1.5× ATR (tightest stops)
Target Multiplier: 2.5R (quick targets)
Entry Mode: Single
Best For: Low-volatility grinding moves, tight ranges, highly predictable patterns
5. DivergenceHunter (Policy 4):
Probability Threshold: 70% (quality-focused)
Entropy Threshold: 0.65 (balanced)
Stop Multiplier: 2.2× ATR (moderate stops)
Target Multiplier: 4.5R (balanced targets)
Entry Mode: Tiered
Best For: Divergence-confirmed reversals, exhaustion moves, trend climax
6. AdaptiveBlend (Policy 5):
Probability Threshold: 68% (balanced)
Entropy Threshold: 0.75 (balanced)
Stop Multiplier: 2.0× ATR (standard)
Target Multiplier: 4.0R (standard)
Entry Mode: Single
Best For: Mixed conditions, general trading, fallback when no clear regime
Policy Clustering (Advanced/Extreme Modes)
Policies are grouped into three clusters based on regime affinity:
Cluster 1 (Trending): AggressiveTrend, DivergenceHunter
High regime affinity (0.8): Performs well when ADX >25
Moderate vol affinity (0.6): Works in various volatility
Cluster 2 (Ranging): ConservativeRange, AdaptiveBlend
Low regime affinity (0.3): Better suited for ADX <20
Low vol affinity (0.4): Optimized for calm markets
Cluster 3 (Breakout): VolatilityBreakout
Moderate regime affinity (0.6): Works in multiple regimes
High vol affinity (0.9): Requires high volatility for optimal characteristics
Hierarchical Selection Process:
Calculate cluster scores based on current regime and volatility
Select best-matching cluster
Run UCB selection within chosen cluster
Apply momentum boost/penalty
This two-stage process reduces learning time - instead of choosing among 6 policies from scratch, system first narrows to 1-2 policies per cluster, then optimizes within cluster.
Risk Management & Position Sizing
Dynamic Kelly Criterion Sizing (Optional)
Traditional Fixed Sizing Challenge:
Using the same position size for all signal probabilities may be suboptimal. Higher-probability signals could justify larger positions, lower-probability signals smaller positions.
Kelly Formula:
f = (p × b - q) / b
Where:
p = win probability (from signal score)
q = loss probability (1 - p)
b = win/loss ratio (average_win / average_loss)
f = fraction of capital to risk
RPD Implementation:
Uses Fractional Kelly (1/4 Kelly default) for safety. Full Kelly is theoretically optimal but can recommend large position sizes. Fractional Kelly reduces volatility while maintaining adaptive sizing benefits.
Enhancements:
Probability Bonus: Normalize(prob, 65, 95) × 0.5 multiplier
Divergence Bonus: Additional sizing on divergence signals
Regime Bonus: Additional sizing during strong trends (ADX >30)
Momentum Adjustment: Hot policies receive sizing boost, cold policies receive reduction
Safety Rails:
Minimum: 1 contract (floor)
Maximum: User-defined cap (default 10 contracts)
Portfolio Heat: Max total risk across all positions (default 4% equity)
Multi-Mode Stop Loss System
ATR Mode (Default):
Stop = entry ± (ATR × base_mult × policy_mult)
Consistent risk sizing
Ignores market structure
Best for: Futures, forex, algorithmic trading
Structural Mode:
Finds swing low (long) or high (short) over last 20 bars
Identifies fractal pivots within lookback
Places stop below/above structure + buffer (0.1× ATR)
Best for: Stocks, instruments that respect structure
Hybrid Mode (Intelligent):
Attempts structural stop first
Falls back to ATR if:
Structural level is invalid (beyond entry)
Structural stop >2× ATR away (too wide)
Best for: Mixed instruments, adaptability
Dynamic Adjustments:
Breakeven: Move stop to entry + 1 tick after 1.0R profit
Trailing: Trail stop 0.8R behind price after 1.5R profit
Timeout: Force close after 30 bars (optional)
Tiered Entry System
Challenge: Equal sizing on all signals may not optimize capital allocation relative to signal quality.
Solution:
Tier 1 (40% of size): Enters immediately on all signals
Tier 2 (60% of size): Enters only if probability ≥ Tier 2 trigger (default 75%)
Example:
Calculated optimal size: 10 contracts
Signal probability: 72%
Tier 2 trigger: 75%
Result: Enter 4 contracts only (Tier 1)
Same signal at 80% probability
Result: Enter 10 contracts (4 Tier 1 + 6 Tier 2)
Effect: Automatically scales size to signal quality, optimizing capital allocation.
Performance Optimization & Learning Curve
Warmup Phase (First 50 Trades)
Purpose: Ensure all policies get tested before system focuses on preferred strategies.
Modifications During Warmup:
Probability thresholds reduced 20% (65% becomes 52%)
Entropy thresholds increased 20% (more permissive)
Exploration rate stays high (30%)
Confidence width (α) doubled (more exploration)
Why This Matters:
Without warmup, system might commit to early-performing policy without testing alternatives. Warmup forces thorough exploration before focusing on best-performing strategies.
Curriculum Learning
Phase 1 (Trades 1-50): Exploration
Warmup active
All policies tested
High exploration (30%)
Learning fundamental patterns
Phase 2 (Trades 50-100): Refinement
Warmup ended, thresholds normalize
Exploration decaying (30% → 15%)
Policy preferences emerging
Meta-learning optimizing
Phase 3 (Trades 100-200): Specialization
Exploration low (15% → 8%)
Clear policy preferences established
Momentum tracking fully active
System focusing on learned patterns
Phase 4 (Trades 200+): Maturity
Exploration minimal (8% → 5%)
Regime-policy relationships learned
Auto-adaptation to market shifts
Stable performance expected
Convergence Indicators
System is learning well when:
Policy switch rate decreasing over time (initially ~50%, should drop to <20%)
Exploration rate decaying smoothly (30% → 5%)
One or two policies emerge with >50% selection frequency
Performance metrics stabilizing over time
Consistent behavior in similar market conditions
System may need adjustment when:
Policy switch rate >40% after 100 trades (excessive exploration)
Exploration rate not decaying (parameter issue)
All policies showing similar selection (not differentiating)
Performance declining despite relaxed thresholds (underlying signal issue)
Highly erratic behavior after learning phase
Advanced Features
Attention Mechanism (Extreme Mode)
Challenge: Not all features are equally important. Trading hour might matter more than price-volume correlation, but standard approaches treat them equally.
Solution:
Each RFF dimension has an importance weight . After each trade:
Calculate correlation: sign(feature - 0.5) × sign(reward)
Update importance: importance += correlation × 0.01
Clamp to range
Effect: Important features get amplified in RFF transformation, less important features get suppressed. System learns which features correlate with successful outcomes.
Temporal Context (Extreme Mode)
Challenge: Current market state alone may be incomplete. Historical context (was volatility rising or falling?) provides additional information.
Solution:
Includes 3-period historical context with exponential decay (0.85):
Current features (weight 1.0)
1 bar ago (weight 0.85)
2 bars ago (weight 0.72)
Effect: Captures momentum and acceleration of market features. System learns patterns like "rising volatility with falling entropy" that may precede significant moves.
Transfer Learning via Episodic Memory
Short-Term Memory (STM):
Last 20 trades
Fast adaptation to immediate regime
High learning rate
Long-Term Memory (LTM):
Condensed historical patterns
Preserved knowledge from past regimes
Low learning rate
Transfer Mechanism:
When STM fills (20 trades), patterns consolidated into LTM . When similar regime recurs later, LTM provides faster adaptation than starting from scratch.
Practical Implementation Guide - Recommended Settings by Instrument
Futures (ES, NQ, CL):
Adaptive Period: 20-25
ML Mode: Advanced
RFF Dimensions: 16
Policies: 6
Base Risk: 1.5%
Stop Mode: ATR or Hybrid
Timeframe: 5-15 min
Forex Majors (EURUSD, GBPUSD):
Adaptive Period: 25-30
ML Mode: Advanced
RFF Dimensions: 16
Policies: 6
Base Risk: 1.0-1.5%
Stop Mode: ATR
Timeframe: 5-30 min
Cryptocurrency (BTC, ETH):
Adaptive Period: 20-25
ML Mode: Extreme (handles non-stationarity)
RFF Dimensions: 32 (captures complexity)
Policies: 6
Base Risk: 1.0% (volatility consideration)
Stop Mode: Hybrid
Timeframe: 15 min - 4 hr
Stocks (Large Cap):
Adaptive Period: 25-30
ML Mode: Advanced
RFF Dimensions: 16
Policies: 5-6
Base Risk: 1.5-2.0%
Stop Mode: Structural or Hybrid
Timeframe: 15 min - Daily
Scaling Strategy
Phase 1 (Testing - First 50 Trades):
Max Contracts: 1-2
Goal: Validate system on your instrument
Monitor: Performance stabilization, learning progress
Phase 2 (Validation - Trades 50-100):
Max Contracts: 2-3
Goal: Confirm learning convergence
Monitor: Policy stability, exploration decay
Phase 3 (Scaling - Trades 100-200):
Max Contracts: 3-5
Enable: Kelly sizing (1/4 Kelly)
Goal: Optimize capital efficiency
Monitor: Risk-adjusted returns
Phase 4 (Full Deployment - Trades 200+):
Max Contracts: 5-10
Enable: Full momentum tracking
Goal: Sustained consistent performance
Monitor: Ongoing adaptation quality
Limitations & Disclaimers
Statistical Limitations
Learning Sample Size: System requires minimum 50-100 trades for basic convergence, 200+ trades for robust learning. Early performance (first 50 trades) may not reflect mature system behavior.
Non-Stationarity Risk: Markets change over time. A system trained on one market regime may need time to adapt when conditions shift (typically 30-50 trades for adjustment).
Overfitting Possibility: With 16-32 RFF dimensions and 6 policies, system has substantial parameter space. Small sample sizes (<200 trades) increase overfitting risk. Mitigated by regularization (λ) and fractional Kelly sizing.
Technical Limitations
Computational Complexity: Extreme mode with 32 RFF dimensions, 6 policies, and full RL stack requires significant computation. May perform slowly on lower-end systems or with many other indicators loaded.
Pine Script Constraints:
No true matrix inversion (uses diagonal approximation for LinUCB)
No cryptographic RNG (uses market data as entropy)
No proper random number generation for RFF (uses deterministic pseudo-random)
These approximations reduce mathematical precision compared to academic implementations but remain functional for trading applications.
Data Requirements: Needs clean OHLCV data. Missing bars, gaps, or low liquidity (<100k daily volume) can degrade signal quality.
Forward-Looking Bias Disclaimer
Reward Calculation Uses Future Data: The RL system evaluates trades using an 8-bar forward-looking window. This means when a position enters at bar 100, the reward calculation considers price movement through bar 108.
Why This is Disclosed:
Entry signals do NOT look ahead - decisions use only data up to entry bar
Forward data used for learning only, not signal generation
In live trading, system learns identically as bars unfold in real-time
Simulates natural learning process (outcomes are only known after trades complete)
Implication: Backtested metrics reflect this 8-bar evaluation window. Live performance may vary if:
- Positions held longer than 8 bars
- Slippage/commissions differ from backtest settings
- Market microstructure changes (wider spreads, different execution quality)
Risk Warnings
No Guarantee of Profit: All trading involves substantial risk of loss. Machine learning systems can fail if market structure fundamentally changes or during unprecedented events.
Maximum Drawdown: With 1.5% base risk and 4% max total risk, expect potential drawdowns. Historical drawdowns do not predict future drawdowns. Extreme market conditions can exceed expectations.
Black Swan Events: System has not been tested under: flash crashes, trading halts, circuit breakers, major geopolitical shocks, or other extreme events. Such events can exceed stop losses and cause significant losses.
Leverage Risk: Futures and forex involve leverage. Adverse moves combined with leverage can result in losses exceeding initial investment. Use appropriate position sizing for your risk tolerance.
System Failures: Code bugs, broker API failures, internet outages, or exchange issues can prevent proper execution. Always monitor automated systems and maintain appropriate safeguards.
Appropriate Use
This System Is:
✅ A machine learning framework for adaptive strategy selection
✅ A signal generation system with probabilistic scoring
✅ A risk management system with dynamic sizing
✅ A learning system designed to adapt over time
This System Is NOT:
❌ A price prediction system (does not forecast exact prices)
❌ A guarantee of profits (can and will experience losses)
❌ A replacement for due diligence (requires monitoring and understanding)
❌ Suitable for complete beginners (requires understanding of ML concepts, risk management, and trading fundamentals)
Recommended Use:
Paper trade for 100 signals before risking capital
Start with minimal position sizing (1-2 contracts) regardless of calculated size
Monitor learning progress via dashboard
Scale gradually over several months only after consistent results
Combine with fundamental analysis and broader market context
Set account-level risk limits (e.g., maximum drawdown threshold)
Never risk more than you can afford to lose
What Makes This System Different
RPD implements academically-derived machine learning algorithms rather than simple mathematical calculations or optimization:
✅ LinUCB Contextual Bandits - Algorithm from WWW 2010 conference (Li et al.)
✅ Random Fourier Features - Kernel approximation from NIPS 2007 (Rahimi & Recht)
✅ Q-Learning, TD(λ), REINFORCE - Standard RL algorithms from Sutton & Barto textbook
✅ Meta-Learning - Learning rate adaptation based on feature correlation
✅ Online Learning - Real-time updates from streaming data
✅ Hierarchical Policies - Two-stage selection with clustering
✅ Momentum Tracking - Recent performance analysis for faster adaptation
✅ Attention Mechanism - Feature importance weighting
✅ Transfer Learning - Episodic memory consolidation
Key Differentiators:
Actually learns from trade outcomes (not just parameter optimization)
Updates model parameters in real-time (true online learning)
Adapts to changing market regimes (not static rules)
Improves over time through reinforcement learning
Implements published ML algorithms with proper citations
Conclusion
RPD Machine Learning represents a different approach from traditional technical analysis to adaptive, self-learning systems . Instead of manually optimizing parameters (which can overfit to historical data), RPD learns behavior patterns from actual trading outcomes in your specific market.
The combination of contextual bandits, reinforcement learning, random fourier features, hierarchical policy selection, and momentum tracking creates a multi-algorithm learning system designed to handle non-stationary markets better than static approaches.
After the initial learning phase (50-100 trades), the system achieves autonomous adaptation - automatically discovering which strategies work in current conditions and shifting allocation without human intervention. This represents an approach where systems adapt over time rather than remaining static.
Use responsibly. Paper trade extensively. Scale gradually. Understand that past performance does not guarantee future results and all trading involves risk of loss.
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
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