CCI Extreme and OBV DivergenceThis is my second set of two indicators combined utilize Multi time frame analysis of 5 minutes and 15 minutes.
CCI:
Green = uptrending
Red = downtrending
Bright Green = overbought, look to go SHORT
Bright Red = oversold, look to go LONG
OBV:
this use to predict the market direction buy drawing trend line.
It is also very good indicator to sport Smart Money moment. When price move higher but OBV trend lower, smart money is taking profit and reversing their position, look to go Short to you spot this type of divergence.
Also else already not there is no holy grail indicator so I also use this set of indicator to improve the signal
在脚本中搜索"smart"
Ultra chingching moneyssThis is just the smart money concepts indicator with a couple little changes you can use it if you want it shows order block fvg equel highs/low and much more but its only suppose to be for jups
HUNT_line [Dr.Forexy]HUNT_line Strategy
This strategy is optimized for the 5-minute timeframe.
It is designed to detect potential false breakouts by combining price structure analysis with dynamic filters.
Please always test on demo before using it live.
⸻
⚠️ Disclaimer
This script is for educational purposes only.
It is not financial advice.
Always manage risk properly and never risk more than 1–2% per trade.
⸻
🔹 Credits
This strategy was inspired by and partially reuses open-source concepts from the script:
“Smart Money Concepts” by LuxAlgo.
Modifications and improvements include:
• Added false breakout detection filters
• Optimized parameters for short-term (5m) trading
• Adjusted ATR-based stop levels
• Customized risk management logic
The purpose of these modifications is to make the script more suitable for high-frequency intraday strategies and to improve the clarity of breakout signals.
Market Structure 2.0- Zig Zag , BoS and Supply/Demand ZonesMarket Structure 2.0- Zig Zag, BoS and Supply/Demand
Unlock the full picture of market structure with this all-in-one indicator. At its core, it’s built around precise price action reversals, detected through smart engulfment of highs and lows. Every reversal acts as a single, powerful trigger that automatically maps out supply and demand zones and structural levels (swing high/lows, BoS and market shift) — everything you need to understand the market at a glance.
Whether you’re scanning for trend continuation, identifying structural levels for entries and exits, or marking key areas for Fibonacci retracements, this indicator simplifies it all. BoS signals help you ride the prevailing trend, zones highlight areas of interest, and swing highs/lows give you structural context — all perfectly aligned with each other, all as a result of price-action based reversals.
Want to see the bigger picture? The HTF input lets you track higher timeframe structures right on your current chart, giving you an edge for live trading. Just remember: for consistent results, refresh your chart before observing HTF structure, and use caution when back-testing, as higher timeframe patterns may appear inconsistent in bar-replay (refresh chart regularly for accurate results). Also, be aware that supply/demand zones are most accurate on the chosen timeframes raw timeframe (for example if using 4h on HTF input, 4h supply/demand zones are more accurate when observing 4h chart and may show discrepancy on lower timeframes).
With this tool, the chaos of the market is transformed into a clean, actionable map — all guided by the same unique reversal logic.
Real-Time Alerts
This indicator doesn’t just visualize market structure — it actively notifies you when critical events occur, so you can observe passively without being glued to the charts. Alerts are fully customizable and cover every key element of market behavior:
Supply & Demand Zones
• New Supply Zone (Bullish) – Triggers when a fresh supply area forms.
• New Demand Zone (Bearish) – Alerts you to newly established demand.
Internal Shifts & Swing Points
• Bullish Internal Shift – Detects bullish price shifts across all swing lows.
• Bearish Internal Shift – Detects bearish shifts across all swing highs.
• Higher Highs (HH) / Higher Lows (HL) / Lower Highs (LH) / Lower Lows (LL) – Track critical swing points with precise conditions to avoid false signals.
• Liquidity Sweeps (LS) – Alerts when price sweeps stop-loss areas, signaling potential traps or continuation setups.
Market Structure & Breaks of Structure (BoS)
• Bullish / Bearish BoS – Highlights breaks in structure that confirm trend continuation or reversals.
• Bullish / Bearish Market Shifts – Flags larger trend changes detected by the indicator’s unique reversal logic.
Alerts can be triggered on LTF , MTF , or HTF charts, giving you flexibility to match your trading style. Each alert is configurable, so you receive only the notifications that matter to you — whether it’s swing points, market shifts, or key supply and demand levels.
With these alerts, you’re not just watching the market — you’re anticipating it.
AI Agent PRIMEFLOW v1AI Agent PRIMEFLOW v1 — Trend + Breakout + Smart Stops
*By AI Agent Community*
## Overview
PRIMEFLOW v1 is a clean, rules-based signal tool that fires only when **trend + regime + market structure** align.
It combines a **baseline trend**, a **volatility regime filter** (ATR z-score), and **Donchian breakouts**, with **ATR bands** and **Chandelier-style stops** for risk control. Optional **HTF confirmation** keeps entries in sync with higher-timeframe bias.
> Built from public trading concepts (EMA/KAMA/HMA baselines, Donchian breakout, ATR trailing). No proprietary code used.
---
## What it does (3-Layer Confirmation)
1. **Trend** – EMA50/200 relationship + user-selectable baseline (EMA/HMA/KAMA).
2. **Regime** – ATR% z-score filter reduces chop; “Conservative/Balanced/Aggressive” modes adjust threshold.
3. **Structure** – Donchian breakout confirms momentum beyond recent range.
Only when all three align do BUY/SELL labels appear. ATR bands and dynamic stops are plotted for exits and trailing.
---
## Signals & Risk
* **Long**: Trend up (EMA50>EMA200), regime trending, price crosses above baseline **and** breaks the prior Donchian high.
* **Short**: Mirror conditions to the downside.
* **Stops**: Auto-plotted **Long/Short Stop** (ATR-based, Chandelier-style).
* **Targets**: Consider 1.5–2× ATR or ATR bands; keep a runner with trailing stop.
---
## Inputs (key)
* **Signal Mode**: Conservative / Balanced / Aggressive (regime threshold).
* **Use Heikin Ashi Source** (optional smoothing).
* **Structure Lookback (Donchian)**.
* **Volatility Lookback** (for ATR z-score).
* **Baseline Type & Length**: EMA / HMA / KAMA.
* **Trend Filter EMAs**: Fast (default 50) vs Slow (default 200).
* **HTF Confirmation**: set a higher TF (blank = off).
* **ATR Length & Multiplier** (bands & stops).
* **Style toggles**: Bands, regime background, labels.
---
## Recommended Presets
**XAUUSD – M15 (scalping/intraday)**
* Mode: *Balanced* · Baseline: *EMA 50* · Donchian: *20* · ATR: *10 × 2.5* · HTF: *H1*.
**XAUUSD – H1 (intraday)**
* Baseline: *KAMA 50* · Donchian: *25* · ATR: *14 × 2.5* · HTF: *H4*.
**BTCUSDT – H1 (crypto)**
* Baseline: *EMA 100* · Donchian: *30* · ATR: *14 × 2.0* · HTF: *H4* · Mode: *Conservative* in chop.
---
## Alerts (ready)
Create alerts **Once Per Bar Close**:
* **PRIMEFLOW Long** – long entry condition met.
* **PRIMEFLOW Short** – short entry condition met.
* **Trail Flip (Long)** – long trailing stop flips (exit/trim).
* **Trail Flip (Short)** – short trailing stop flips.
Tip: Route alerts to your bot/Telegram/WA webhook. Include placeholders (e.g., `{{ticker}} | {{interval}} | {{close}} | LONG/SHORT | SL: {{plot("Long Stop")}}`).
---
## Best Practices
* Avoid taking breakouts that are **>1.5× ATR** away from baseline (overextended).
* Re-enter on pullbacks while trend & regime remain valid.
* Around high-impact news (NFP/FOMC), wait 15–30 minutes after release.
* Use **HTF 4×** your chart TF (e.g., M15→H1, H1→H4).
---
## Who it’s for
Swing/scalp traders who want higher-quality trend entries with **built-in structure confirmation** and **clear risk lines**, especially on **XAUUSD** and **BTC**.
---
## Notes
* This is an **indicator** (not a strategy). A strategy/backtest version can be provided.
* Educational purposes only. Not financial advice. Trading involves risk.
**Tags:** trend, breakout, ATR, Donchian, chandelier stop, regime filter, XAUUSD, BTC, scalping, intraday, multi-timeframe, heikin ashi
**Changelog**
v1.0 – Initial release: 3-Layer Confirmation, ATR bands/stops, HTF bias, 4 alerts.
Validated Order Blocks with Fib LevelsThis indicator automatically identifies and displays Smart Money Concepts (SMC) order blocks based on market structure breaks:
How it works:
Bearish Order Blocks (Red): Marks the last bullish candle before a swing high. The OB becomes valid when price breaks below the previous swing low, indicating institutional selling zones. Drawn from the candle's close (body top) to its low (bottom wick).
Bullish Order Blocks (Green): Marks the last bearish candle before a swing low. The OB becomes valid when price breaks above the previous swing high, indicating institutional buying zones. Drawn from the candle's high (top wick) to its close (body bottom).
Features:
Three Fibonacci retracement levels (50%, 75%, 100%) for each order block
Fib 100% faces downward on bearish OBs and upward on bullish OBs
Auto-validation: OBs are removed when price closes through them
Customizable: Adjustable swing detection, timeframe selection, and OB display limits
Optional Break of Structure (BOS) markers to show when OBs activate
Works on any timeframe with HTF analysis support
Perfect for identifying key institutional support/resistance zones and potential reversal areas.
Shamji's Liquidity Sweep + FVG (Follow-up + Filters) Purpose (what it does)
This indicator looks for two related price structures used by many smart-money / liquidity-hunt traders:
Liquidity Sweeps — candles that wick beyond a recent swing high (for buy-side stop-hunts) or swing low (for sell-side stop-hunts), then close back inside. These are flagged as potential stop-hunt events that clear obvious liquidity.
Fair Value Gaps (FVGs) — simple 3-bar style gaps where an older bar’s high is below the current low (bullish FVG) or an older bar’s low is above the current high (bearish FVG). When an FVG appears after a sweep (within a configurable window), this is considered a follow-up alignment.
The script adds optional filters (volume spike and candle-range vs ATR) to increase confidence, and can restrict marking/alerts to only events that meet the follow-up and filter rules.
BOCS Channel Scalper Indicator - Mean Reversion Alert System# BOCS Channel Scalper Indicator - Mean Reversion Alert System
## WHAT THIS INDICATOR DOES:
This is a mean reversion trading indicator that identifies consolidation channels through volatility analysis and generates alert signals when price enters entry zones near channel boundaries. **This indicator version is designed for manual trading with comprehensive alert functionality.** Unlike automated strategies, this tool sends notifications (via popup, email, SMS, or webhook) when trading opportunities occur, allowing you to manually review and execute trades. The system assumes price will revert to the channel mean, identifying scalp opportunities as price reaches extremes and preparing to bounce back toward center.
## INDICATOR VS STRATEGY - KEY DISTINCTION:
**This is an INDICATOR with alerts, not an automated strategy.** It does not execute trades automatically. Instead, it:
- Displays visual signals on your chart when entry conditions are met
- Sends customizable alerts to your device/email when opportunities arise
- Shows TP/SL levels for reference but does not place orders
- Requires you to manually enter and exit positions based on signals
- Works with all TradingView subscription levels (alerts included on all plans)
**For automated trading with backtesting**, use the strategy version. For manual control with notifications, use this indicator version.
## ALERT CAPABILITIES:
This indicator includes four distinct alert conditions that can be configured independently:
**1. New Channel Formation Alert**
- Triggers when a fresh BOCS channel is identified
- Message: "New BOCS channel formed - potential scalp setup ready"
- Use this to prepare for upcoming trading opportunities
**2. Long Scalp Entry Alert**
- Fires when price touches the long entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "LONG scalp signal at 24731.75 | TP: 24743.2 | SL: 24716.5"
**3. Short Scalp Entry Alert**
- Fires when price touches the short entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "SHORT scalp signal at 24747.50 | TP: 24735.0 | SL: 24762.75"
**4. Any Entry Signal Alert**
- Combined alert for both long and short entries
- Use this if you want a single alert stream for all opportunities
- Message: "BOCS Scalp Entry: at "
**Setting Up Alerts:**
1. Add indicator to chart and configure settings
2. Click the Alert (⏰) button in TradingView toolbar
3. Select "BOCS Channel Scalper" from condition dropdown
4. Choose desired alert type (Long, Short, Any, or Channel Formation)
5. Set "Once Per Bar Close" to avoid false signals during bar formation
6. Configure delivery method (popup, email, webhook for automation platforms)
7. Save alert - it will fire automatically when conditions are met
**Alert Message Placeholders:**
Alerts use TradingView's dynamic placeholder system:
- {{ticker}} = Symbol name (e.g., NQ1!)
- {{close}} = Current price at signal
- {{plot_1}} = Calculated take profit level
- {{plot_2}} = Calculated stop loss level
These placeholders populate automatically, creating detailed notification messages without manual configuration.
## KEY DIFFERENCE FROM ORIGINAL BOCS:
**This indicator is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities:
- **Original BOCS**: 1-3 signals per channel (only on breakout)
- **Scalper Indicator**: 5-15+ signals per channel (every touch of entry zones)
- **Trade Style**: Mean reversion vs trend following
- **Hold Time**: Seconds to minutes vs minutes to hours
- **Best Markets**: Ranging/choppy conditions vs trending breakouts
This makes the indicator ideal for active day traders who want continuous alert opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased signal frequency also means higher potential commission costs and requires disciplined trade selection when acting on alerts.
## TECHNICAL METHODOLOGY:
### Price Normalization Process:
The indicator normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis.
### Volatility Detection:
A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The indicator uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars).
### Channel Formation Logic:
When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The indicator tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas.
### Entry Signal Generation:
The indicator uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%):
- **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2)
- **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2)
Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. Visual markers (arrows and labels) appear on chart, and configured alerts fire immediately.
### Cooldown Filter:
An optional cooldown period (measured in bars) prevents alert spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long alert will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period.
### ATR Volatility Filter:
The indicator includes a multi-timeframe ATR filter to avoid alerts during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while viewing 5-minute charts). The filter compares current ATR to a user-defined minimum threshold:
- If ATR ≥ threshold: Alerts enabled
- If ATR < threshold: No alerts fire
This prevents notifications during dead zones where mean reversion is unreliable due to insufficient price movement. The ATR status is displayed in the info table with visual confirmation (✓ or ✗).
### Take Profit Calculation:
Two TP methods are available:
**Fixed Points Mode**:
- Long TP = Entry + (TP_Ticks × syminfo.mintick)
- Short TP = Entry - (TP_Ticks × syminfo.mintick)
**Channel Percentage Mode**:
- Long TP = Entry + (ChannelRange × TP_Percent)
- Short TP = Entry - (ChannelRange × TP_Percent)
Default 50% targets the channel midline, a natural mean reversion target. These levels are displayed as visual lines with labels and included in alert messages for reference when manually placing orders.
### Stop Loss Placement:
Stop losses are calculated just outside the channel boundary by a user-defined tick offset:
- Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick)
- Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick)
This logic assumes channel breaks invalidate the mean reversion thesis. SL levels are displayed on chart and included in alert notifications as suggested stop placement.
### Channel Breakout Management:
Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations.
## INPUT PARAMETERS:
### Channel Settings:
- **Nested Channels**: Allow multiple overlapping channels vs single channel
- **Normalization Length**: Lookback for high/low calculation (1-500, default 100)
- **Box Detection Length**: Period for volatility detection (1-100, default 14)
### Scalping Settings:
- **Enable Long Scalps**: Toggle long alert generation on/off
- **Enable Short Scalps**: Toggle short alert generation on/off
- **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%)
- **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5)
- **Cooldown Period (Bars)**: Minimum spacing between alerts (0 = no cooldown)
### ATR Filter:
- **Enable ATR Filter**: Toggle volatility filter on/off
- **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.)
- **ATR Length**: Smoothing period (1-100, default 14)
- **Min ATR Value**: Threshold for alert enablement (0.1+, default 10.0)
### Take Profit Settings:
- **TP Method**: Choose Fixed Points or % of Channel
- **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30)
- **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%)
### Appearance:
- **Show Entry Zones**: Toggle zone labels on channels
- **Show Info Table**: Display real-time indicator status
- **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right)
- **Long Color**: Customize long signal color (default: darker green for readability)
- **Short Color**: Customize short signal color (default: red)
- **TP/SL Colors**: Customize take profit and stop loss line colors
- **Line Length**: Visual length of TP/SL reference lines (5-200 bars)
## VISUAL INDICATORS:
- **Channel boxes** with semi-transparent fill showing consolidation zones
- **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼"
- **Entry signal arrows** below/above bars marking long/short alerts
- **TP/SL reference lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL)
- **Info table** showing channel status, last signal, entry/TP/SL prices, risk/reward ratio, and ATR filter status
- **Visual confirmation** when alerts fire via on-chart markers synchronized with notifications
## HOW TO USE:
### For 1-3 Minute Scalping with Alerts (NQ/ES):
- ATR Timeframe: "1" (1-minute)
- ATR Min Value: 10.0 (for NQ), adjust per instrument
- Entry Zone %: 20-25%
- TP Method: Fixed Points, 20-40 ticks
- SL Offset: 5-10 ticks
- Cooldown: 2-3 bars to reduce alert spam
- **Alert Setup**: Configure "Any Entry Signal" for combined long/short notifications
- **Execution**: When alert fires, verify chart visuals, then manually place limit order at entry zone with provided TP/SL levels
### For 5-15 Minute Day Trading with Alerts:
- ATR Timeframe: "5" or match chart
- ATR Min Value: Adjust to instrument (test 8-15 for NQ)
- Entry Zone %: 20-30%
- TP Method: % of Channel, 40-60%
- SL Offset: 5-10 ticks
- Cooldown: 3-5 bars
- **Alert Setup**: Configure separate "Long Scalp Entry" and "Short Scalp Entry" alerts if you trade directionally based on bias
- **Execution**: Review channel structure on alert, confirm ATR filter shows ✓, then enter manually
### For 30-60 Minute Swing Scalping with Alerts:
- ATR Timeframe: "15" or "30"
- ATR Min Value: Lower threshold for broader market
- Entry Zone %: 25-35%
- TP Method: % of Channel, 50-70%
- SL Offset: 10-15 ticks
- Cooldown: 5+ bars or disable
- **Alert Setup**: Use "New Channel Formation" to prepare for setups, then "Any Entry Signal" for execution alerts
- **Execution**: Larger timeframes allow more analysis time between alert and entry
### Webhook Integration for Semi-Automation:
- Configure alert webhook URL to connect with platforms like TradersPost, TradingView Paper Trading, or custom automation
- Alert message includes all necessary order parameters (direction, entry, TP, SL)
- Webhook receives structured data when signal fires
- External platform can auto-execute based on alert payload
- Still maintains manual oversight vs full strategy automation
## USAGE CONSIDERATIONS:
- **Manual Discipline Required**: Alerts provide opportunities but execution requires judgment. Not all alerts should be taken - consider market context, trend, and channel quality
- **Alert Timing**: Alerts fire on bar close by default. Ensure "Once Per Bar Close" is selected to avoid false signals during bar formation
- **Notification Delivery**: Mobile/email alerts may have 1-3 second delay. For immediate execution, use desktop popups or webhook automation
- **Cooldown Necessity**: Without cooldown, rapidly touching price action can generate excessive alerts. Start with 3-bar cooldown and adjust based on alert volume
- **ATR Filter Impact**: Enabling ATR filter dramatically reduces alert count but improves quality. Track filter status in info table to understand when you're receiving fewer alerts
- **Commission Awareness**: High alert frequency means high potential trade count. Calculate if your commission structure supports frequent scalping before acting on all alerts
## COMPATIBLE MARKETS:
Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features are not included in this indicator version. Multi-timeframe ATR requires higher-tier TradingView subscription for request.security() functionality on timeframes below chart timeframe.
## KNOWN LIMITATIONS:
- **Indicator does not execute trades** - alerts are informational only; you must manually place all orders
- **Alert delivery depends on TradingView infrastructure** - delays or failures possible during platform issues
- **No position tracking** - indicator doesn't know if you're in a trade; you must manage open positions independently
- **TP/SL levels are reference only** - you must manually set these on your broker platform; they are not live orders
- **Immediate touch entry can generate many alerts** in choppy zones without adequate cooldown
- **Channel deletion at 10-tick breaks** may be too aggressive or lenient depending on instrument tick size
- **ATR filter from lower timeframes** requires TradingView Premium/Pro+ for request.security()
- **Mean reversion logic fails** in strong breakout scenarios - alerts will fire but trades may hit stops
- **No partial closing capability** - full position management is manual; you determine scaling out
- **Alerts do not account for gaps** or overnight price changes; morning alerts may be stale
## RISK DISCLOSURE:
Trading involves substantial risk of loss. This indicator provides signals for educational and informational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Mean reversion strategies can experience extended drawdowns during trending markets. Alerts are not guaranteed to be profitable and should be combined with your own analysis. Stop losses may not fill at intended levels during extreme volatility or gaps. Never trade with capital you cannot afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Always verify alerts against current market conditions before executing trades manually.
## ACKNOWLEDGMENT & CREDITS:
This indicator is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community.
Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based alert generation, comprehensive alert condition system with customizable notifications, multi-timeframe ATR volatility filtering, cooldown period for alert management, dual TP methods (fixed points vs channel percentage), visual TP/SL reference lines, and real-time status monitoring table. This indicator version is specifically designed for manual traders who prefer alert-based decision making over automated execution.
BOCS Channel Scalper Strategy - Automated Mean Reversion System# BOCS Channel Scalper Strategy - Automated Mean Reversion System
## WHAT THIS STRATEGY DOES:
This is an automated mean reversion trading strategy that identifies consolidation channels through volatility analysis and executes scalp trades when price enters entry zones near channel boundaries. Unlike breakout strategies, this system assumes price will revert to the channel mean, taking profits as price bounces back from extremes. Position sizing is fully customizable with three methods: fixed contracts, percentage of equity, or fixed dollar amount. Stop losses are placed just outside channel boundaries with take profits calculated either as fixed points or as a percentage of channel range.
## KEY DIFFERENCE FROM ORIGINAL BOCS:
**This strategy is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities:
- **Original BOCS**: 1-3 signals per channel (only on breakout)
- **Scalper Version**: 5-15+ signals per channel (every touch of entry zones)
- **Trade Style**: Mean reversion vs trend following
- **Hold Time**: Seconds to minutes vs minutes to hours
- **Best Markets**: Ranging/choppy conditions vs trending breakouts
This makes the scalper ideal for active day traders who want continuous opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased trade frequency also means higher commission costs and requires tighter risk management.
## TECHNICAL METHODOLOGY:
### Price Normalization Process:
The strategy normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis.
### Volatility Detection:
A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars).
### Channel Formation Logic:
When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The strategy tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas.
### Entry Signal Generation:
The strategy uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%):
- **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2)
- **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2)
Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. This captures mean reversion opportunities as price reaches channel extremes.
### Cooldown Filter:
An optional cooldown period (measured in bars) prevents signal spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long signal will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period.
### ATR Volatility Filter:
The strategy includes a multi-timeframe ATR filter to avoid trading during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while trading on 5-minute charts). The filter compares current ATR to a user-defined minimum threshold:
- If ATR ≥ threshold: Trading enabled
- If ATR < threshold: No signals fire
This prevents entries during dead zones where mean reversion is unreliable due to insufficient price movement.
### Take Profit Calculation:
Two TP methods are available:
**Fixed Points Mode**:
- Long TP = Entry + (TP_Ticks × syminfo.mintick)
- Short TP = Entry - (TP_Ticks × syminfo.mintick)
**Channel Percentage Mode**:
- Long TP = Entry + (ChannelRange × TP_Percent)
- Short TP = Entry - (ChannelRange × TP_Percent)
Default 50% targets the channel midline, a natural mean reversion target. Larger percentages aim for opposite channel edge.
### Stop Loss Placement:
Stop losses are placed just outside the channel boundary by a user-defined tick offset:
- Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick)
- Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick)
This logic assumes channel breaks invalidate the mean reversion thesis. If price breaks through, the range is no longer valid and position exits.
### Trade Execution Logic:
When entry conditions are met (price in zone, cooldown satisfied, ATR filter passed, no existing position):
1. Calculate entry price at zone boundary
2. Calculate TP and SL based on selected method
3. Execute strategy.entry() with calculated position size
4. Place strategy.exit() with TP limit and SL stop orders
5. Update info table with active trade details
The strategy enforces one position at a time by checking strategy.position_size == 0 before entry.
### Channel Breakout Management:
Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations.
### Position Sizing System:
Three methods calculate position size:
**Fixed Contracts**:
- Uses exact contract quantity specified in settings
- Best for futures traders (e.g., "trade 2 NQ contracts")
**Percentage of Equity**:
- position_size = (strategy.equity × equity_pct / 100) / close
- Dynamically scales with account growth
**Cash Amount**:
- position_size = cash_amount / close
- Maintains consistent dollar exposure regardless of price
## INPUT PARAMETERS:
### Position Sizing:
- **Position Size Type**: Choose Fixed Contracts, % of Equity, or Cash Amount
- **Number of Contracts**: Fixed quantity per trade (1-1000)
- **% of Equity**: Percentage of account to allocate (1-100%)
- **Cash Amount**: Dollar value per position ($100+)
### Channel Settings:
- **Nested Channels**: Allow multiple overlapping channels vs single channel
- **Normalization Length**: Lookback for high/low calculation (1-500, default 100)
- **Box Detection Length**: Period for volatility detection (1-100, default 14)
### Scalping Settings:
- **Enable Long Scalps**: Toggle long entries on/off
- **Enable Short Scalps**: Toggle short entries on/off
- **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%)
- **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5)
- **Cooldown Period (Bars)**: Minimum spacing between signals (0 = no cooldown)
### ATR Filter:
- **Enable ATR Filter**: Toggle volatility filter on/off
- **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.)
- **ATR Length**: Smoothing period (1-100, default 14)
- **Min ATR Value**: Threshold for trade enablement (0.1+, default 10.0)
### Take Profit Settings:
- **TP Method**: Choose Fixed Points or % of Channel
- **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30)
- **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%)
### Appearance:
- **Show Entry Zones**: Toggle zone labels on channels
- **Show Info Table**: Display real-time strategy status
- **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right)
- **Color Settings**: Customize long/short/TP/SL colors
## VISUAL INDICATORS:
- **Channel boxes** with semi-transparent fill showing consolidation zones
- **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼"
- **Entry signal arrows** below/above bars marking long/short entries
- **Active TP/SL lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL)
- **Info table** showing position status, channel state, last signal, entry/TP/SL prices, and ATR status
## HOW TO USE:
### For 1-3 Minute Scalping (NQ/ES):
- ATR Timeframe: "1" (1-minute)
- ATR Min Value: 10.0 (for NQ), adjust per instrument
- Entry Zone %: 20-25%
- TP Method: Fixed Points, 20-40 ticks
- SL Offset: 5-10 ticks
- Cooldown: 2-3 bars
- Position Size: 1-2 contracts
### For 5-15 Minute Day Trading:
- ATR Timeframe: "5" or match chart
- ATR Min Value: Adjust to instrument (test 8-15 for NQ)
- Entry Zone %: 20-30%
- TP Method: % of Channel, 40-60%
- SL Offset: 5-10 ticks
- Cooldown: 3-5 bars
- Position Size: Fixed contracts or 5-10% equity
### For 30-60 Minute Swing Scalping:
- ATR Timeframe: "15" or "30"
- ATR Min Value: Lower threshold for broader market
- Entry Zone %: 25-35%
- TP Method: % of Channel, 50-70%
- SL Offset: 10-15 ticks
- Cooldown: 5+ bars or disable
- Position Size: % of equity recommended
## BACKTEST CONSIDERATIONS:
- Strategy performs best in ranging, mean-reverting markets
- Strong trending markets produce more stop losses as price breaks channels
- ATR filter significantly reduces trade count but improves quality during low volatility
- Cooldown period trades signal quantity for signal quality
- Commission and slippage materially impact sub-5-minute timeframe performance
- Shorter timeframes require tighter entry zones (15-20%) to catch quick reversions
- % of Channel TP adapts better to varying channel sizes than fixed points
- Fixed contract sizing recommended for consistent risk per trade in futures
**Backtesting Parameters Used**: This strategy was developed and tested using realistic commission and slippage values to provide accurate performance expectations. Recommended settings: Commission of $1.40 per side (typical for NQ futures through discount brokers), slippage of 2 ticks to account for execution delays on fast-moving scalp entries. These values reflect real-world trading costs that active scalpers will encounter. Backtest results without proper cost simulation will significantly overstate profitability.
## COMPATIBLE MARKETS:
Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features require data feed with volume information but are optional for core functionality.
## KNOWN LIMITATIONS:
- Immediate touch entry can fire multiple times in choppy zones without adequate cooldown
- Channel deletion at 10-tick breaks may be too aggressive or lenient depending on instrument tick size
- ATR filter from lower timeframes requires higher-tier TradingView subscription (request.security limitation)
- Mean reversion logic fails in strong breakout scenarios leading to stop loss hits
- Position sizing via % of equity or cash amount calculates based on close price, may differ from actual fill price
- No partial closing capability - full position exits at TP or SL only
- Strategy does not account for gap openings or overnight holds
## RISK DISCLOSURE:
Trading involves substantial risk of loss. Past performance does not guarantee future results. This strategy is for educational purposes and backtesting only. Mean reversion strategies can experience extended drawdowns during trending markets. Stop losses may not fill at intended levels during extreme volatility or gaps. Thoroughly test on historical data and paper trade before risking real capital. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Automated trading systems can malfunction - monitor all live positions actively.
## ACKNOWLEDGMENT & CREDITS:
This strategy is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community.
Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based signals, multi-timeframe ATR volatility filtering, flexible position sizing (fixed/percentage/cash), cooldown period filtering, dual TP methods (fixed points vs channel percentage), automated strategy execution with exit management, and real-time position monitoring table.
Period Separator - MTF with Price LevelsPeriod Separator - MTF with Price Levels
A customizable multi-timeframe period separator indicator that displays a user-defined number of vertical lines with corresponding horizontal price levels.
Key Features:
Multi-Timeframe Support: Works with all timeframes from 1-minute to yearly (12M, 3M, M, W, D, 4H, 1H, 15m, 5m, 1m)
Complete Price Level Analysis: Shows horizontal lines for High, Low, 0.75, 0.50, 0.25, and Open levels for all visible periods between vertical separators
Seconds Chart Compatibility: Special 1-minute separator option for seconds timeframes
Full Customization: Independent color, style, and width settings for all lines
Smart Alerts: Optional price break alerts for high/low levels with sound options
Clean Memory Management: Automatically manages line objects to prevent chart clutter
Sliding Window Display: Set exactly how many vertical separator lines to show (1-20), with older lines automatically removed as new periods begin
Perfect for:
Session/period analysis with controlled visual complexity
Support/resistance level identification across multiple periods
Fibonacci-style level trading between defined time periods
Clean chart presentation with limited historical data display
Settings:
Number of Vertical Lines: Controls exactly how many period separators are visible
All price levels can be toggled on/off independently
Comprehensive styling options for professional chart presentation
Ideal for traders who want period-based analysis without overwhelming their charts with too many historical lines.
Watermark with Session Boxes (by Rufi)Watermark & Session Boxes - Chart Branding Tool
What it does: Combines professional chart watermarking with automated trading session visualization for clean, branded analysis.
Key Features:
Smart Session Boxes: Auto-draws boxes around Asia (8PM-11:59PM), London (2AM-5AM), and NY (7AM-10AM) sessions using high/low detection
Custom Watermark: Professional text overlay with your brand/tagline
Full Customization: Adjustable colors, transparency (0-100%), and display limits (1-30 days)
How it works: Uses Pine Script's time() function to detect session periods, tracks price extremes during each session, then draws filled rectangles from session high to low. Perfect for identifying key support/resistance levels from major trading periods.
Best for: Intraday traders who want branded charts with clear session-based S/R levels. Ideal for forex, indices, and crypto on lower timeframes.
RSI ROC Signals with Price Action# RSI ROC Signals with Price Action
## Overview
The RSI ROC (Rate of Change) Signals indicator is an advanced momentum-based trading system that combines RSI velocity analysis with price action confirmation to generate high-probability buy and sell signals. This indicator goes beyond traditional RSI analysis by measuring the speed of RSI changes and requiring price confirmation before triggering signals.
## Core Concept: RSI Rate of Change (ROC)
### What is RSI ROC?
RSI ROC measures the **velocity** or **acceleration** of the RSI indicator, providing insights into momentum shifts before they become apparent in traditional RSI readings.
**Formula**: `RSI ROC = ((Current RSI - Previous RSI) / Previous RSI) × 100`
### Why RSI ROC is Superior to Standard RSI:
1. **Early Momentum Detection**: Identifies momentum shifts before RSI reaches traditional overbought/oversold levels
2. **Velocity Analysis**: Measures the speed of momentum changes, not just absolute levels
3. **Reduced False Signals**: Filters out weak momentum moves that don't sustain
4. **Dynamic Thresholds**: Adapts to market volatility rather than using fixed RSI levels
5. **Leading Indicator**: Provides earlier signals compared to traditional RSI crossovers
## Signal Generation Logic
### 🟢 Buy Signal Process (3-Stage System):
#### Stage 1: Trigger Activation
- **RSI ROC** > threshold (default 7%) - RSI accelerating upward
- **Price ROC** > 0 - Price moving higher
- Records the **trigger high** (highest point during trigger)
#### Stage 2: Invalidation Check
- Signal invalidated if **RSI ROC** drops below negative threshold
- Prevents false signals during momentum reversals
#### Stage 3: Confirmation
- **Price breaks above trigger high** - Price action confirmation
- **Current candle is green** (close > open) - Bullish price action
- **State alternation** - Ensures no consecutive duplicate signals
### 🔴 Sell Signal Process (3-Stage System):
#### Stage 1: Trigger Activation
- **RSI ROC** < negative threshold (default -7%) - RSI accelerating downward
- **Price ROC** < 0 - Price moving lower
- Records the **trigger low** (lowest point during trigger)
#### Stage 2: Invalidation Check
- Signal invalidated if **RSI ROC** rises above positive threshold
- Prevents false signals during momentum reversals
#### Stage 3: Confirmation
- **Price breaks below trigger low** - Price action confirmation
- **Current candle is red** (close < open) - Bearish price action
- **State alternation** - Ensures no consecutive duplicate signals
## Key Features
### 🎯 **Smart Signal Management**
- **State Alternation**: Prevents signal clustering by alternating between buy/sell states
- **Trigger Invalidation**: Automatically cancels weak signals that lose momentum
- **Price Confirmation**: Requires actual price breakouts, not just momentum shifts
- **No Repainting**: Signals are confirmed and won't disappear or change
### ⚙️ **Customizable Parameters**
#### **RSI Length (Default: 14)**
- Standard RSI calculation period
- Shorter periods = more sensitive to price changes
- Longer periods = smoother, less noisy signals
#### **Lookback Period (Default: 1)**
- Period for ROC calculations
- 1 = compares to previous bar (most responsive)
- Higher values = smoother momentum detection
#### **RSI ROC Threshold (Default: 7%)**
- Minimum RSI velocity required for signal trigger
- Lower values = more signals, potentially more noise
- Higher values = fewer but higher-quality signals
### 📊 **Visual Signals**
- **Green Arrow Up**: Buy signal below price bar
- **Red Arrow Down**: Sell signal above price bar
- **Clean Chart**: No additional lines or oscillators cluttering the view
- **Size Options**: Customizable arrow sizes for visibility preferences
## Advantages Over Traditional Indicators
### vs. Standard RSI:
✅ **Earlier Signals**: Detects momentum changes before RSI reaches extremes
✅ **Dynamic Thresholds**: Adapts to market conditions vs. fixed 30/70 levels
✅ **Velocity Focus**: Measures momentum speed, not just position
✅ **Better Timing**: Combines momentum with price action confirmation
### vs. Moving Average Crossovers:
✅ **Leading vs. Lagging**: RSI ROC is forward-looking vs. backward-looking MAs
✅ **Volatility Adaptive**: Automatically adjusts to market volatility
✅ **Fewer Whipsaws**: Built-in invalidation logic reduces false signals
✅ **Momentum Focus**: Captures acceleration, not just direction changes
### vs. MACD:
✅ **Price-Normalized**: RSI ROC works consistently across different price ranges
✅ **Simpler Logic**: Clear trigger/confirmation process vs. complex crossovers
✅ **Built-in Filters**: Automatic signal quality control
✅ **State Management**: Prevents over-trading through alternation logic
## Trading Applications
### 📈 **Trend Following**
- Use in trending markets to catch momentum continuations
- Combine with trend filters for directional bias
- Excellent for breakout strategies
### 🔄 **Swing Trading**
- Ideal timeframes: 4H, Daily, Weekly
- Captures major momentum shifts
- Perfect for position entries/exits
### ⚡ **Scalping (Advanced Users)**
- Lower timeframes: 1m, 5m, 15m
- Reduce threshold for more frequent signals
- Combine with volume confirmation
### 🎯 **Momentum Strategies**
- Perfect for momentum-based trading systems
- Identifies acceleration phases in trends
- Complements breakout and continuation patterns
## Optimization Guidelines
### **Conservative Settings (Lower Risk)**
- RSI Length: 21
- ROC Threshold: 10%
- Lookback: 2
### **Standard Settings (Balanced)**
- RSI Length: 14 (default)
- ROC Threshold: 7% (default)
- Lookback: 1 (default)
### **Aggressive Settings (Higher Frequency)**
- RSI Length: 7
- ROC Threshold: 5%
- Lookback: 1
## Best Practices
### 🎯 **Entry Strategy**
1. Wait for signal arrow confirmation
2. Consider market context (trend, support/resistance)
3. Use proper position sizing based on volatility
4. Set stop-loss below/above trigger levels
### 🛡️ **Risk Management**
1. **Stop Loss**: Place beyond trigger high/low levels
2. **Position Sizing**: Use 1-2% risk per trade
3. **Market Context**: Avoid counter-trend signals in strong trends
4. **Time Filters**: Consider avoiding signals near major news events
### 📊 **Backtesting Recommendations**
1. Test on multiple timeframes and instruments
2. Analyze win rate vs. average win/loss ratio
3. Consider transaction costs in backtesting
4. Optimize threshold values for different market conditions
## Technical Specifications
- **Pine Script Version**: v6
- **Signal Type**: Non-repainting, confirmed signals
- **Calculation Basis**: RSI velocity with price action confirmation
- **Update Frequency**: Real-time on bar close
- **Memory Management**: Efficient state tracking with minimal resource usage
## Ideal For:
- **Momentum Traders**: Captures acceleration phases
- **Swing Traders**: Medium-term position entries/exits
- **Breakout Traders**: Confirms momentum behind breakouts
- **System Traders**: Mechanical signal generation with clear rules
This indicator represents a significant evolution in momentum analysis, combining the reliability of RSI with the precision of rate-of-change analysis and the confirmation of price action. It's designed for traders who want sophisticated momentum detection with built-in quality controls.
QTheoryQTheory –
This indicator is built on Quarterly Theory (developed by Daye)
🔹 Quarterly Theory
Markets often unfold in repeating quarterly cycles (Q1–Q4) across multiple timeframes — yearly, monthly, weekly, daily, 90-minute, and even micro cycles. By dividing price action into these quarters, traders can better anticipate structural shifts, accumulation/distribution phases, and liquidity runs.
🔹 Sequential SMT (SSMT)
Sequential SMT extends standard SMT (Smart Money Technique) by comparing multiple assets (such as FX majors) to identify divergences across quarters.
🔹 Features of QTheory
Automatic detection of quarterly cycles across multiple timeframes.
Visual cycle boxes & customizable dividers.
Integrated SSMT signals with divergence line visualization.
DFR (Defining Range) with Fibonacci levels.
Support for up to 5 comparison assets, with inversion options.
Auto-cycle selection for seamless multi-timeframe adaptation.
Extensive customization for colors, opacity, and signal display.
🔹 How it works
QTheory divides price data into consistent “quarters” across multiple timeframes. Within each cycle, it tracks highs, lows, and divergences, then overlays this information as boxes, dividers, and optional signals on your chart. Traders can use these visual cues to better align entries and exits with institutional market behavior patterns.
🔹 How to use it
Enable the desired cycle type (e.g., weekly, daily, 90-minute) from the settings.
Toggle boxes, dividers, and signals depending on your trading style.
Use SSMT divergences and DFR Fibs to anticipate a reversal
Compare against other assets (e.g., DXY or correlated pairs) to refine confluence.
⚠️ Disclaimer: This tool is for educational purposes only. It does not constitute financial advice. Always perform your own analysis and risk management.
Attribution: Portions of this script extend the quarter-cycle logic from TFlab’s “Quarterly Theory ICT 04”, released under the Mozilla Public License 2.0
BOCS AdaptiveBOCS Adaptive Strategy - Automated Volatility Breakout System
WHAT THIS STRATEGY DOES:
This is an automated trading strategy that detects consolidation patterns through volatility analysis and executes trades when price breaks out of these channels. Take-profit and stop-loss levels are calculated dynamically using Average True Range (ATR) to adapt to current market volatility. The strategy closes positions partially at the first profit target and exits the remainder at the second target or stop loss.
TECHNICAL METHODOLOGY:
Price Normalization Process:
The strategy begins by normalizing price to create a consistent measurement scale. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). The current close price is then normalized using the formula: (close - lowest_low) / (highest_high - lowest_low). This produces values between 0 and 1, allowing volatility analysis to work consistently across different instruments and price levels.
Volatility Detection:
A 14-period standard deviation is applied to the normalized price series. Standard deviation measures how much prices deviate from their average - higher values indicate volatility expansion, lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() functions to track when volatility reaches peaks and troughs over the detection length period (default 14 bars).
Channel Formation Logic:
When volatility crosses from a high level to a low level, this signals the beginning of a consolidation phase. The strategy records this moment using ta.crossover(upper, lower) and begins tracking the highest and lowest prices during the consolidation. These become the channel boundaries. The duration between the crossover and current bar must exceed 10 bars minimum to avoid false channels from brief volatility spikes. Channels are drawn using box objects with the recorded high/low boundaries.
Breakout Signal Generation:
Two detection modes are available:
Strong Closes Mode (default): Breakout occurs when the candle body midpoint math.avg(close, open) exceeds the channel boundary. This filters out wick-only breaks.
Any Touch Mode: Breakout occurs when the close price exceeds the boundary.
When price closes above the upper channel boundary, a bullish breakout signal generates. When price closes below the lower boundary, a bearish breakout signal generates. The channel is then removed from the chart.
ATR-Based Risk Management:
The strategy uses request.security() to fetch ATR values from a specified timeframe, which can differ from the chart timeframe. For example, on a 5-minute chart, you can use 1-minute ATR for more responsive calculations. The ATR is calculated using ta.atr(length) with a user-defined period (default 14).
Exit levels are calculated at the moment of breakout:
Long Entry Price = Upper channel boundary
Long TP1 = Entry + (ATR × TP1 Multiplier)
Long TP2 = Entry + (ATR × TP2 Multiplier)
Long SL = Entry - (ATR × SL Multiplier)
For short trades, the calculation inverts:
Short Entry Price = Lower channel boundary
Short TP1 = Entry - (ATR × TP1 Multiplier)
Short TP2 = Entry - (ATR × TP2 Multiplier)
Short SL = Entry + (ATR × SL Multiplier)
Trade Execution Logic:
When a breakout occurs, the strategy checks if trading hours filter is satisfied (if enabled) and if position size equals zero (no existing position). If volume confirmation is enabled, it also verifies that current volume exceeds 1.2 times the 20-period simple moving average.
If all conditions are met:
strategy.entry() opens a position using the user-defined number of contracts
strategy.exit() immediately places a stop loss order
The code monitors price against TP1 and TP2 levels on each bar
When price reaches TP1, strategy.close() closes the specified number of contracts (e.g., if you enter with 3 contracts and set TP1 close to 1, it closes 1 contract). When price reaches TP2, it closes all remaining contracts. If stop loss is hit first, the entire position exits via the strategy.exit() order.
Volume Analysis System:
The strategy uses ta.requestUpAndDownVolume(timeframe) to fetch up volume, down volume, and volume delta from a specified timeframe. Three display modes are available:
Volume Mode: Shows total volume as bars scaled relative to the 20-period average
Comparison Mode: Shows up volume and down volume as separate bars above/below the channel midline
Delta Mode: Shows net volume delta (up volume - down volume) as bars, positive values above midline, negative below
The volume confirmation logic compares breakout bar volume to the 20-period SMA. If volume ÷ average > 1.2, the breakout is classified as "confirmed." When volume confirmation is enabled in settings, only confirmed breakouts generate trades.
INPUT PARAMETERS:
Strategy Settings:
Number of Contracts: Fixed quantity to trade per signal (1-1000)
Require Volume Confirmation: Toggle to only trade signals with volume >120% of average
TP1 Close Contracts: Exact number of contracts to close at first target (1-1000)
Use Trading Hours Filter: Toggle to restrict trading to specified session
Trading Hours: Session input in HHMM-HHMM format (e.g., "0930-1600")
Main Settings:
Normalization Length: Lookback bars for high/low calculation (1-500, default 100)
Box Detection Length: Period for volatility peak/trough detection (1-100, default 14)
Strong Closes Only: Toggle between body midpoint vs close price for breakout detection
Nested Channels: Allow multiple overlapping channels vs single channel at a time
ATR TP/SL Settings:
ATR Timeframe: Source timeframe for ATR calculation (1, 5, 15, 60, etc.)
ATR Length: Smoothing period for ATR (1-100, default 14)
Take Profit 1 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 2.0)
Take Profit 2 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 3.0)
Stop Loss Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 1.0)
Enable Take Profit 2: Toggle second profit target on/off
VISUAL INDICATORS:
Channel boxes with semi-transparent fill showing consolidation zones
Green/red colored zones at channel boundaries indicating breakout areas
Volume bars displayed within channels using selected mode
TP/SL lines with labels showing both price level and distance in points
Entry signals marked with up/down triangles at breakout price
Strategy status table showing position, contracts, P&L, ATR values, and volume confirmation status
HOW TO USE:
For 2-Minute Scalping:
Set ATR Timeframe to "1" (1-minute), ATR Length to 12, TP1 Multiplier to 2.0, TP2 Multiplier to 3.0, SL Multiplier to 1.5. Enable volume confirmation and strong closes only. Use trading hours filter to avoid low-volume periods.
For 5-15 Minute Day Trading:
Set ATR Timeframe to match chart or use 5-minute, ATR Length to 14, TP1 Multiplier to 2.0, TP2 Multiplier to 3.5, SL Multiplier to 1.2. Volume confirmation recommended but optional.
For Hourly+ Swing Trading:
Set ATR Timeframe to 15-30 minute, ATR Length to 14-21, TP1 Multiplier to 2.5, TP2 Multiplier to 4.0, SL Multiplier to 1.5. Volume confirmation optional, nested channels can be enabled for multiple setups.
BACKTEST CONSIDERATIONS:
Strategy performs best during trending or volatility expansion phases
Consolidation-heavy or choppy markets produce more false signals
Shorter timeframes require wider stop loss multipliers due to noise
Commission and slippage significantly impact performance on sub-5-minute charts
Volume confirmation generally improves win rate but reduces trade frequency
ATR multipliers should be optimized for specific instrument characteristics
COMPATIBLE MARKETS:
Works on any instrument with price and volume data including forex pairs, stock indices, individual stocks, cryptocurrency, commodities, and futures contracts. Requires TradingView data feed that includes volume for volume confirmation features to function.
KNOWN LIMITATIONS:
Stop losses execute via strategy.exit() and may not fill at exact levels during gaps or extreme volatility
request.security() on lower timeframes requires higher-tier TradingView subscription
False breakouts inherent to breakout strategies cannot be completely eliminated
Performance varies significantly based on market regime (trending vs ranging)
Partial closing logic requires sufficient position size relative to TP1 close contracts setting
RISK DISCLOSURE:
Trading involves substantial risk of loss. Past performance of this or any strategy does not guarantee future results. This strategy is provided for educational purposes and automated backtesting. Thoroughly test on historical data and paper trade before risking real capital. Market conditions change and strategies that worked historically may fail in the future. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions.
ACKNOWLEDGMENT & CREDITS:
This strategy is built upon the channel detection methodology created by AlgoAlpha in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns and sharing this innovative technique with the TradingView community. The enhancements added to the original concept include automated trade execution, multi-timeframe ATR-based risk management, partial position closing by contract count, volume confirmation filtering, and real-time position monitoring.
Oscillator Matrix [Alpha Extract]A comprehensive multi-oscillator system that combines volume-weighted money flow analysis with enhanced momentum detection, providing traders with a unified framework for identifying high-probability market opportunities across all timeframes. By integrating two powerful oscillators with advanced confluence analysis, this indicator delivers precise entry and exit signals while filtering out market noise through sophisticated threshold-based regime detection.
🔶 Volume-Weighted Money Flow Analysis
Utilizes an advanced money flow calculation that tracks volume-weighted price movements to identify institutional activity and smart money flow. This approach provides superior signal quality by emphasizing high-volume price movements while filtering out low-volume market noise.
// Volume-weighted flows
up_volume = price_up ? volume : 0
down_volume = price_down ? volume : 0
// Money Flow calculation
up_vol_sum = ta.sma(up_volume, mf_length)
down_vol_sum = ta.sma(down_volume, mf_length)
total_volume = up_vol_sum + down_vol_sum
money_flow_ratio = total_volume > 0 ? (up_vol_sum - down_vol_sum) / total_volume : 0
🔶 Enhanced Hyper Wave Oscillator
Features a sophisticated MACD-based momentum oscillator with advanced normalization techniques that adapt to different price ranges and market volatility. The system uses percentage-based calculations to ensure consistent performance across various instruments and timeframes.
// Enhanced MACD-based oscillator
fast_ma = ta.ema(src, hw_fast)
slow_ma = ta.ema(src, hw_slow)
macd_line = fast_ma - slow_ma
signal_line = ta.ema(macd_line, hw_signal)
// Proper normalization using percentage of price
price_base = ta.sma(close, 50)
macd_normalized = macd_line / price_base
hyper_wave = macd_range > 0 ? macd_normalized / macd_range : 0
🔶 Multi-Factor Confluence System
Implements an intelligent confluence scoring mechanism that combines signals from both oscillators to identify high-probability trading opportunities. The system assigns strength scores based on multiple confirmation factors, significantly reducing false signals.
🔶 Fixed Threshold Levels
Uses predefined threshold levels optimized for standard oscillator ranges to distinguish between normal market fluctuations and significant momentum shifts. The dual-threshold system provides clear visual cues for overbought/oversold conditions while maintaining consistent signal criteria across different market conditions.
🔶 Overflow Detection Technology
Advanced overflow indicators identify extreme market conditions that often precede major reversals or continuation patterns. These signals highlight moments when market momentum reaches critical levels, providing early warning for potential turning points.
🔶 Dual Oscillator Integration
The indicator simultaneously tracks volume-weighted money flow and momentum-based price action through two independent oscillators. This dual approach ensures comprehensive market analysis by capturing both institutional activity and technical momentum patterns.
// Multi-factor confluence scoring
confluence_bull = (mf_bullish ? 1 : 0) + (hw_bullish ? 1 : 0) +
(mf_overflow_bull ? 1 : 0) + (hw_overflow_bull ? 1 : 0)
confluence_bear = (mf_bearish ? 1 : 0) + (hw_bearish ? 1 : 0) +
(mf_overflow_bear ? 1 : 0) + (hw_overflow_bear ? 1 : 0)
confluence_strength = confluence_bull > confluence_bear ? confluence_bull / 4 : -confluence_bear / 4
🔶 Intelligent Signal Generation
The system generates two tiers of reversal signals: strong signals that require multiple confirmations across both oscillators, and weak signals that identify early momentum shifts. This hierarchical approach allows traders to adjust position sizing based on signal strength.
🔶 Visual Confluence Zones
Background coloring dynamically adjusts based on confluence strength, creating visual zones that immediately communicate market sentiment. The intensity of background shading corresponds to the strength of the confluent signals, making pattern recognition effortless.
🔶 Threshold Visualization
Color-coded threshold zones provide instant visual feedback about oscillator positions relative to key levels. The fill areas between thresholds create clear overbought and oversold regions with graduated color intensity.
🔶 Candle Color Integration
Optional candle coloring applies confluence-based color logic directly to price bars, creating a unified visual framework that helps traders correlate indicator signals with actual price movements for enhanced decision-making.
🔶 Overflow Alert System
Specialized circular markers highlight extreme overflow conditions on both oscillators, drawing attention to potential climax moves that often precede significant reversals or accelerated trend continuation.
🔶 Customizable Display Options
Comprehensive display controls allow traders to toggle individual components on or off, enabling focused analysis on specific aspects of the indicator. This modularity ensures the indicator adapts to different trading styles and analytical preferences.
1 Week
1 Day
15 Min
This indicator provides a complete analytical framework by combining volume analysis with momentum detection in a single, coherent system. By offering multiple confirmation layers and clear visual hierarchies, it empowers traders to identify high-probability opportunities while maintaining precise risk management across all market conditions and timeframes. The sophisticated confluence system ensures that signals are both timely and reliable, making it an essential tool for serious technical analysts.
Multi-TF 👀### Multi-Timeframe Analysis (MTF-Analysis)
**Overview**
The Multi-Timeframe Analysis indicator is a powerful visualization tool designed for traders who incorporate multi-timeframe (MTF) strategies into their decision-making process. It overlays compact, customizable candle representations from up to four higher timeframes directly on your chart, positioned to the right of the last bar for quick reference. This allows you to monitor price action, momentum via EMAs, and key levels like Fair Value Gaps (FVGs) across multiple resolutions without switching charts. Built with efficiency in mind, it supports automatic timeframe detection, real-time updates, and a clean, non-intrusive design that enhances your trading workflow.
Ideal for day traders, swing traders, and scalpers, this indicator helps identify alignments between timeframes, spot potential reversals or continuations, and validate entries/exits based on higher-timeframe context. It leverages Pine Script v6 for smooth performance, with optimizations to handle up to 5000 bars back and extensive drawing limits.
**Key Features**
- **Multi-Timeframe Candle Display**: Renders recent candles (configurable from 5 to 100 per timeframe) from selected higher timeframes (e.g., 5m, 15m, 1H, 4H) as compact bars with customizable width, spacing, and padding. Bullish and bearish candles are color-coded for instant recognition.
- **Automatic Timeframe Adaptation**: When enabled, the indicator intelligently selects complementary timeframes based on your chart's resolution (e.g., on a 1m chart, it might show 5m, 15m, and 1H). Manual overrides are available for full control.
- **EMA Overlays**: Plots EMA9, EMA21, and EMA50 on each MTF section using a user-defined source (e.g., OHLC/4, close). EMAs can be dashed for clarity and enabled/disabled per timeframe, helping to gauge momentum and trend strength.
- **Fair Value Gaps (FVGs)**: Detects bullish (+FVG) and bearish (-FVG) gaps with a configurable lookback length (5-50 bars). Gaps are visualized as dotted boxes extending from the candle, highlighting potential support/resistance zones or imbalances.
- **Time Labels and Debugging**: Displays timestamp labels under every fourth candle for chronological context. A debug mode expands spacing and adds detailed labels (e.g., OHLC, volume, EMA values) for testing and verification.
- **Customization Options**: Extensive inputs for colors (bodies, wicks, EMAs, FVGs), label sizes/styles, and layout ensure seamless integration with your chart theme. Supports futures symbols with a time offset adjustment.
- **Performance Optimizations**: Uses arrays for efficient data management, clears drawings on realtime updates or timeframe changes, and limits buffer sizes to prevent overload.
**How to Use**
1. Add the indicator to your chart via TradingView's "Indicators" menu.
2. Configure timeframes: Enable/disable up to four TFs and set the number of candles to display. Use "Auto Timeframe" for smart defaults.
3. Adjust EMAs: Select the source type and toggle per TF to focus on relevant momentum signals (e.g., EMA9 crossovers for short-term trades).
4. Enable FVGs: Activate per TF and tweak the length to suit your market (shorter for volatile assets, longer for trends).
5. Fine-tune appearance: Modify padding, candle width, and colors to avoid clutter. Use debug mode during setup.
6. Interpret: Align your chart's price action with MTF candles—look for confluence in trends, FVGs filling as support/resistance, or EMA alignments for high-probability setups.
**Input Settings**
- **General**: Hour offset for time adjustments (useful for futures).
- **Timeframes**: Enable TFs 1-4, select resolutions (e.g., "5m"), and set candle counts. Auto mode simplifies this.
- **FVG/iFVG**: Toggle per TF, customize colors and detection length.
- **EMA**: Enable per TF, choose source, colors, and dashed style.
- **Candle Appearance**: Bull/bear colors for bodies/wicks, width/spacing/padding, label size/color.
- **Debug**: Expands view for detailed inspection.
**Notes**
- This indicator is non-repainting and updates in realtime, but performance may vary on lower timeframes with many candles—reduce counts if needed.
- FVGs are calculated locally on recent bars for efficiency; historical gaps beyond the buffer aren't shown.
- Compatible with all symbols, but best on volatile markets like forex, crypto, or indices.
- Feedback welcome—updates may include more MA types or advanced FVG filters.
Enhance your edge with multi-timeframe insights—try MTF-Analysis today!
Universal Gann Square & Cube LevelsUniversal Gann Square & Cube Levels - Dynamic Support/Resistance
Description:
📊 UNIVERSAL GANN LEVELS INDICATOR
This powerful indicator automatically plots Gann Square and Cube levels around the current stock price, providing dynamic support and resistance levels based on W.D. Gann's mathematical theories.
🎯 KEY FEATURES:
✅ Auto-Adaptive: Works for ANY stock price (₹20 to ₹100,000+)
✅ Real-time Detection: Uses current close price automatically
✅ Dual Level System: Square levels (black) + Cube levels (red)
✅ Customizable Range: Adjust percentage range (5% to 50%)
✅ Clean Display: Toggle square/cube lines independently
✅ Universal Compatibility: Works on all timeframes and instruments
📈 HOW IT WORKS:
Square Levels (Black Lines): Based on perfect squares (n²) around current price
Cube Levels (Red Lines): Based on perfect cubes (n³) around current price
Smart Range: Automatically calculates relevant levels within your specified percentage range
Info Display: Shows current price and level counts
⚙️ SETTINGS:
Price Range %: Control how many levels appear (default: 15%)
Show Square Levels: Toggle black square lines on/off
Show Cube Levels: Toggle red cube lines on/off
🔥 PERFECT FOR:
Day traders seeking precise entry/exit points
Swing traders identifying key support/resistance zones
Gann theory practitioners and students
Multi-timeframe analysis across all instruments
💡 USAGE TIPS:
Use 10-20% range for active day trading
Use 30-50% range for swing trading analysis
Watch for price reactions at square/cube intersections
Combine with volume analysis for confirmation
🌟 WHY THIS INDICATOR?
Unlike fixed Gann calculators, this indicator dynamically adapts to ANY price level, making it truly universal for Indian stocks, crypto, forex, and commodities.
⚠️ DISCLAIMER:
This indicator is for educational and informational purposes only. It is not financial advice and should not be considered as a recommendation to buy or sell any security. Trading involves significant risk of loss and may not be suitable for all investors. Past performance does not guarantee future results. Always conduct your own research and consult with a qualified financial advisor before making any investment decisions. The developer assumes no responsibility for any trading losses incurred through the use of this indicator.
📋 COMPATIBILITY:
All TradingView plans
All timeframes (1m to 1M)
Stocks, Crypto, Forex, Commodities
Mobile and desktop platforms
Multi-Timeframe Bias by Atif MuzzammilMulti-Timeframe Bias Indicator
This indicator implements multi TF bias concepts across multiple timeframes simultaneously. It identifies and displays bias levels.
Key Features:
Multi-Timeframe Analysis (Up to 5 Timeframes)
Supports all major timeframes: 5m, 15m, 30m, 1H, 4H, Daily, Weekly, Monthly
Each timeframe displays independently with customisable colors and line weights
Clean visual separation between different timeframe bias levels
ICT Bias Logic
Bearish Bias: Previous period close below the prior period's low
Bullish Bias: Previous period close above the prior period's high
Ranging Bias: Previous period close within the prior period's range
Draws horizontal lines at previous period's high and low levels
Advanced Customisation
Individual enable/disable for each timeframe
Custom colors and line thickness per timeframe
Comprehensive label settings with 4 position options
Adjustable label size, style (background/no background/text only)
Horizontal label positioning (0-100%) for optimal placement
Vertical offset controls for fine-tuning
Smart Detection
Automatic timeframe change detection using multiple methods
Enhanced detection for 4H, Weekly, and Monthly periods
Works correctly when viewing same timeframe as bias timeframe
Proper handling of market session boundaries
Clean Interface
Simple timeframe identification labels
Non-intrusive design that doesn't obstruct price action
Organized settings grouped by function
Debug mode available for troubleshooting
Compatible with all chart timeframes and works on any market that follows standard session timing.
EMA50 + SR Boxes + VP Right + ATR + SL% + Entries + SentimentThis indicator combines several pro-grade building blocks to read the market at a glance:
EMA50 as a trend filter.
Smart Support/Resistance zones (rectangles) detected where price has touched multiple times.
“U / Inverted U” markers (confirmed pivots).
Optional Buy/Sell signals: only when a U appears inside a support zone with price above the EMA50 (buy), or an inverted U inside a resistance zone with price below the EMA50 (sell).
Simplified right-side Volume Profile (with a special Forex fallback if volume isn’t usable).
ATR & SL%: displays current ATR and an SL% based on ATR(100) Daily / Close × 100, attached to the latest candle.
Weekend Hunter Ultimate v6.2 Weekend Hunter Ultimate v6.2 - Automated Crypto Weekend Trading System
OVERVIEW:
Specialized trading strategy designed for cryptocurrency weekend markets (Saturday-Sunday) when institutional traders are typically offline and market dynamics differ significantly from weekdays. Optimized for 15-minute timeframe execution with multi-timeframe confluence analysis.
KEY FEATURES:
- Weekend-Only Trading: Automatically activates during configurable weekend hours
- Dynamic Leverage: 5-20x leverage adjusted based on market safety and signal confidence
- Multi-Timeframe Analysis: Combines 4H trend, 1H momentum, and 15M execution
- 10 Pre-configured Crypto Pairs: BTC, ETH, LINK, XRP, DOGE, SOL, AVAX, PEPE, TON, POL
- Position & Risk Management: Max 4 concurrent positions, -30% account protection
- Smart Trailing Stops: Protects profits when approaching targets
RISK MANAGEMENT:
- Maximum daily loss: 5% (configurable)
- Maximum weekend loss: 15% (configurable)
- Per-position risk: Capped at 120-156 USDT
- Emergency stops for flash crashes (8% moves)
- Consecutive loss protection (4 losses = pause)
TECHNICAL INDICATORS:
- CVD (Cumulative Volume Delta) divergence detection
- ATR-based dynamic stop loss and take profit
- RSI, MACD, Bollinger Bands confluence
- Volume surge confirmation (1.5x average)
- Weekend liquidity adjustments
INTEGRATION:
- Designed for Bybit Futures (0.075% taker fee)
- WunderTrading webhook compatibility via JSON alerts
- Minimum position size: 120 USDT (Bybit requirement)
- Initial capital: $500 recommended
TARGET METRICS:
- Win rate target: 65%
- Average win: 5.5%
- Average loss: 1.8%
- Risk-reward ratio: ~3:1
IMPORTANT DISCLAIMERS:
- Past performance does not guarantee future results
- Leveraged trading carries substantial risk of loss
- Weekend crypto markets have 13% of normal liquidity
- Not suitable for traders who cannot afford to lose their entire investment
- Requires continuous monitoring and adjustment
USAGE:
1. Apply to 15-minute charts only
2. Configure weekend hours for your timezone
3. Set up webhook alerts for automation
4. Monitor performance table in top-right corner
5. Adjust parameters based on your risk tolerance
This is an experimental strategy for educational purposes. Always test with small amounts first and never invest more than you can afford to lose completely.
Analitica Trading — Previous Day SR (2 lines + labels) 2.0📊 Analitica Trading — Previous Day SR (Support & Resistance)
This indicator displays the previous day’s key levels on any timeframe:
Prev High → Green horizontal line with label.
Prev Low → Red horizontal line with label.
🔹 Stable across timeframes: The levels are calculated from the daily candles and remain fixed, no matter if you switch to 1D, 1H, or 5m.
🔹 Simple & clean: Exactly two lines only (no duplicates).
🔹 Price labels included: Each line has a clear tag showing the exact level.
🔹 Dynamic update: Lines refresh automatically at the start of each new daily session.
🔹 Alerts: Optional alerts trigger when the price breaks above the Prev High or below the Prev Low.
💡 Ideal for support/resistance trading, breakouts, and Smart Money Concepts (SMC) strategies.
Analítica Trading — Prev Day Levels🤖📊 Analítica Trading — Previous Day Levels
This indicator clearly and precisely displays the key levels from the previous day:
📈 Previous Day High (green line).
📉 Previous Day Low (red line).
The lines are fixed horizontals, updated automatically at the start of each new session, and remain visible throughout the entire day, providing a reliable reference for trading.
It also includes:
🔔 Configurable alerts when the price breaks any of the levels.
🏷️ Labels on the chart with the exact value of each level.
💡 Ideal for Support and Resistance, Breakout strategies, and Smart Money Concepts (SMC).
维加斯双通道策略Vegas Channel Comprehensive Strategy Description
Strategy Overview
A comprehensive trading strategy based on the Vegas Dual Channel indicator, supporting dynamic position sizing and fund management. The strategy employs a multi-signal fusion mechanism including classic price crossover signals, breakout signals, and retest signals, combined with trend filtering, RSI+MACD filtering, and volume filtering to ensure signal reliability.
Core Features
Dynamic Position Sizing: Continue adding positions on same-direction signals, close all positions on opposite signals
Smart Take Profit/Stop Loss: ATR-based dynamic TP/SL, updated with each new signal
Fund Management: Supports dynamic total amount management for compound growth
Time Filtering: Configurable trading time ranges
Risk Control: Maximum order limit to prevent over-leveraging
Leverage Usage Instructions
Important: This strategy does not use TradingView's margin functionality
Setup Method
Total Amount = Actual Funds × Leverage Multiplier
Example: Have 100U actual funds, want to use 10x leverage → Set total amount to 100 × 10 = 1000U
Trading Amount Calculation
Each trade percentage is calculated based on leveraged amount
Example: Set 10% → Actually trade 100U margin × 10x leverage = 1000U trading amount
Maximum Orders Configuration
Must be used in conjunction with leveraged amount
Example: 1000U total amount, 10% per trade, maximum 10 orders = maximum use of 1000U
Note: Do not exceed 100% of total amount to avoid over-leveraging
Parameter Configuration Recommendations
Leverage Configuration Examples
Actual funds 100U, 5x leverage, total amount setting 500U, 10% per trade, 50U per trade, recommended maximum orders 10
Actual funds 100U, 10x leverage, total amount setting 1000U, 10% per trade, 100U per trade, recommended maximum orders 10
Actual funds 100U, 20x leverage, total amount setting 2000U, 5% per trade, 100U per trade, recommended maximum orders 20
Risk Control
Conservative: 5-10x leverage, 10% per trade, maximum 5-8 orders
Aggressive: 10-20x leverage, 5-10% per trade, maximum 10-15 orders
Extreme: 20x+ leverage, 2-5% per trade, maximum 20+ orders
Strategy Advantages
Signal Reliability: Multiple filtering mechanisms reduce false signals
Capital Efficiency: Dynamic fund management for compound growth
Risk Controllable: Maximum order limits prevent liquidation
Flexible Configuration: Supports various leverage and fund allocation schemes
Time Control: Configurable trading hours to avoid high-risk periods
Usage Notes
Ensure total amount is set correctly (actual funds × leverage multiplier)
Maximum orders should not exceed the range allowed by total funds
Recommend starting with conservative configuration and gradually adjusting parameters
Regularly monitor strategy performance and adjust parameters timely
维加斯通道综合策略说明
策略概述
基于维加斯双通道指标的综合交易策略，支持动态加仓和资金管理。策略采用多信号融合机制，包括经典价穿信号、突破信号和回踩信号，结合趋势过滤、RSI+MACD过滤和成交量过滤，确保信号的可靠性。
核心功能
动态加仓：同向信号继续加仓，反向信号全部平仓
智能止盈止损：基于ATR的动态止盈止损，每次新信号更新
资金管理：支持动态总金额管理，实现复利增长
时间过滤：可设置交易时间范围
风险控制：最大订单数限制，防止过度加仓
杠杆使用说明
重要：本策略不使用TradingView的保证金功能
设置方法
总资金 = 实际资金 × 杠杆倍数
示例：实际有100U，想使用10倍杠杆 → 总资金设置为 100 × 10 = 1000U
交易金额计算
每笔交易百分比基于杠杆后的金额计算
示例：设置10% → 实际交易 100U保证金 × 10倍杠杆 = 1000U交易金额
最大订单数配置
必须配合杠杆后的金额使用
示例：1000U总资金，10%单笔，最大10单 = 最多使用1000U
注意：不要超过总资金的100%，避免过度杠杆
参数配置建议
杠杆配置示例
实际资金100U，5倍杠杆，总资金设置500U，单笔百分比10%，单笔金额50U，建议最大订单数10单
实际资金100U，10倍杠杆，总资金设置1000U，单笔百分比10%，单笔金额100U，建议最大订单数10单
实际资金100U，20倍杠杆，总资金设置2000U，单笔百分比5%，单笔金额100U，建议最大订单数20单
风险控制
保守型：5-10倍杠杆，10%单笔，最大5-8单
激进型：10-20倍杠杆，5-10%单笔，最大10-15单
极限型：20倍以上杠杆，2-5%单笔，最大20单以上
策略优势
信号可靠性：多重过滤机制，减少假信号
资金效率：动态资金管理，实现复利增长
风险可控：最大订单数限制，防止爆仓
灵活配置：支持多种杠杆和资金配置方案
时间控制：可设置交易时间，避开高风险时段
使用注意事项
确保总资金设置正确（实际资金×杠杆倍数）
最大订单数不要超过总资金允许的范围
建议从保守配置开始，逐步调整参数
定期监控策略表现，及时调整参数
