Hazel nut BB Strategy, volume base- lite versionHazel nut BB Strategy, volume base — lite version
Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses.
This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control.
In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage .
The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values.
◉ Volume Settings
• Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution.
• A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes.
• Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window.
◉ Bollinger Band
• Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA).
• Inputs allow control of length, standard deviation multiplier, and offset.
• The basis, upper, and lower bands are plotted, with a shaded background between them.
◉ Progress & Proximity
• Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus).
• “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%).
• A signed score (sScore) represents how far the close has moved above or below the basis relative to band width.
◉ Info Table
• Optional compact table summarizing:
• - Upper/lower band margins
• - Buyer/seller volumes with moving averages
• - Delta and cumulative delta
• - Buyer/seller ratios per bar and across the window
• - Money flow values (buy/sell/delta × price) for bar-level and summed periods
• The table is neutral-colored and resizable for different chart layouts.
◉ Zone Event Gate
• Tracks entry into and exit from “near band” zones.
• Arming logic: a side is armed when price enters a band proximity zone.
• Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window.
◉ Trading Logic
• Orders are placed only on zone-exit events, conditional on volume dominance.
• Position sizing is defined as a fixed percentage of strategy equity.
• Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance.
◉ Exit Rules
• Open positions are managed by a strict priority sequence:
• 1. Stop-loss (% of entry price)
• 2. Take-profit (% of entry price)
• 3. Opposite-side event (zone exit with dominance in the other direction)
• Stop-loss and take-profit levels are configurable
◉ Notes
• This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic.
• It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals.
When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.
지표 및 전략
Nifty Gann Pivot Strategy — SQRT LevelsNifty Gann Pivot Strategy — SQRT Levels, select the gann pivot, targets above and below the pivot are calculated using gann formula and plotted
2 of 3 Confluence StrategyA strategy created for swing and positional trading on stocks and index. Best to use on daily or minimum hourly time frame. It will also work in smaller time frames but there will be some noise.
Liquidation Strategy📈 It enters a long trade when long liquidation spikes above a set threshold.
📉 It enters a short trade when short liquidation drops below the negative threshold.
🧮 It optionally filters entries using an EMA multiplier.
🔁 It exits long when RSI crosses below its smoothed version.
🔄 It exits short when RSI crosses above its smoothed version.
🔗 It requires linking to the Liquidations indicator on Bybit or OKX charts.
New Rate - PREMIUM v2New Rate – Premium
Overview
New Rate – Premium is a breakout strategy built around a strict “one trade per day” rule. It forms an intraday range from the first N candles, freezes High/Low at the close of candle N, and places OCO stop orders exactly on those levels. The first breakout fills and the opposite order is canceled. Exits can be managed by fixed ticks or by risk/reward (RR). The script draws SL/TP boxes, keeps entry labels at a fixed distance from price, and lets you restrict trading to selected weekdays.
How it works
Window & count: set timeframe, session start, and N candles. Those candles are highlighted and used to compute the range High/Low.
Freeze: when candle N closes, the strategy locks High/Low and draws the lines; a 50% midline is optional.
OCO placement: buy-stop on High and sell-stop on Low (one-cancels-other). The first fill cancels the other side.
Exits:
– Ticks mode: SL/TP are fixed distances in ticks from entry.
– RR mode: SL at the opposite side of the range; TP = RR × risk.
Visual SL/TP boxes are drawn in both modes.
Daily lock: after the first fill, no more entries for that day.
Key features
First break only, one trade per day: hard discipline that avoids over-trading.
Automatic range end: timeframe × N candles (or manual end time).
Exact “at-the-break” entries: stop orders placed at frozen High/Low.
Flexible exits: fixed ticks or RR with opposite-side stop.
Clean visuals: High/Low and midline with configurable color/style/width; text alignment (left/center/right); session background with opacity.
SL/TP boxes: configurable colors, borders, width, and forward projection.
Entry labels with constant offset: “BUY” below bar, “SELL” above bar; distance in ticks so labels never sit on price.
Weekday filter: trade only the days you select (Mon–Fri).
Inputs (summary)
• Session & range: timeframe (minutes), start time, N candles, auto end (TF × N) or manual, line extension.
• Style: High/Low colors, styles, widths; midline on/off; label position; session background color and opacity.
• Exits: RR using the opposite extreme as SL, or “Use SL/TP by ticks”.
• SL/TP boxes: projection bars, SL color, TP color, border color and width, box limit.
• Weekdays: Monday–Friday selectors.
• Entry labels: show/hide, colors, size, vertical offset in ticks, optional X shift in bars.
Backtest snapshot — FX:XAUUSD 30m
Range: 02 Jan 2024 00:00 → 12 Sep 2025 12:00 • Symbol/TF: FX:XAUUSD / 30m
• Net Profit: $1,599.77
• Gross Profit / Gross Loss: $3,929.47 / $2,329.70
• Max Drawdown: $112.73 (4.93%)
• Total Trades / Win rate: 440 / 48.41%
• Avg Trade: $3.64 (0.04%); Avg Winner / Avg Loser: $18.45 / $10.26
• Profit Factor / Sharpe / Sortino: 1.687 / 1.163 / 6.876
• Largest Win / Loss: $91.94 / $10.26
• Avg Bars in Trade: 1 (long), 2 (short)
Why this strategy is original
First-bar breakout accuracy: orders arm exactly when the N-th candle closes, so the very next bar can fill at the true break. This avoids the common ORB miss where the first post-range bar is skipped by delayed checks or market orders.
OCO + daily lock as a core mechanic: the engine enforces one-and-done behavior—no soft rules, no hidden retries—so test results match live logic.
Two exit frameworks, one visual language: switch seamlessly between fixed-tick and structural RR exits while managing both with the same SL/TP boxes for consistent analysis and education.
Readability by design: label offset, aligned High/Low text, and tunable session background keep charts uncluttered during long optimizations or multi-asset reviews.
Operational guardrails: drawing budgets, box limits, and weekday filters are integrated so backtests remain stable and realistic with trading hours.
Focused ORB specialization: no oscillators, no hidden bias—transparent, testable, and purpose-built for the opening-range dynamic you configure.
Recommended use
• Session openings or early windows with a single, clean decision per day.
• Strict rules with exact entry levels and auditable exits.
• Benchmarking exits in both ticks and RR with apples-to-apples visuals.
Default strategy properties
• Initial capital: 10,000 USD; position sizing by % of equity (editable).
• Commissions default to 0% and slippage to 0; edit to match your broker/market.
• Drawing limits tuned to respect TradingView resource caps.
Best practices & compliance
• Educational use. Not financial advice.
• Past performance does not guarantee future results.
• Adjust slippage, commissions, and position sizing to your live context.
• Original implementation with documented mechanics; compliant with TradingView House Rules.
Example setup
TF 5m, start 08:00, N = 6 → auto end at 08:30
RR = 2 with SL at the opposite side of the range
Boxes: projection 10 bars; SL #9598a1; TP #ffbe1a; border #787B86; opacity 70
Days: Tuesday and Wednesday only
Labels: “BUY” below and “SELL” above, 10-tick offset
Glossary
• Opening range breakout (ORB): breakout of the configured initial range.
• One-cancels-other (OCO): filling one order cancels the other.
• Risk/reward (RR): target equals RR × risk distance.
• Tick: minimum price increment.
• Offset: fixed label separation from the bar extremum.
Trend Strength Index Long Strategy📈 Trend Strength Index Long Strategy
This strategy combines the Trend Strength Index (TSI) with a Volume-Weighted Moving Average (VWMA) to identify high-probability long entries based on trend momentum and price confirmation.
📊 TSI Calculation : Measures correlation between price and time (bar index) over a user-defined period. Strong TSI values indicate trend momentum.
📏 VWMA Filter : Confirms bullish bias when price is above the VWMA.
🚀 Entry Condition : Long position is triggered when TSI crosses above -0.65 and price is above VWMA.
🔒 Exit Condition : Position is closed when TSI crosses above 0.65.
🎨 Visuals : Gradient fills highlight bullish and bearish zones. VWMA is plotted for trend context.
🧮 TSI Length: Adjustable (default 14)
📐 VWMA Length: Adjustable (default 55)
💸 Commission: 0.1% per trade
📊 Position Size: 75% of equity
⚙️ Slippage: 10 ticks
✅ Best used in trending markets with steady momentum.
⚠️ Avoid in choppy or range-bound conditions.
Range Breakout StrategyAfter consecutive candle closes it creates a range, and if price breaks out of it it enters with fixed take profit.
QZ Trend (Crypto Edition) v1.1a: Donchian, EMA, ATR, Liquidity/FThe "QZ Trend (Crypto Edition)" is a rules-based trend-following breakout strategy for crypto spot or perpetual contracts, focusing on following trends, prioritizing risk control, seeking small losses and big wins, and trading only when advantageous.
Key mechanisms include:
- Market filters: Screen favorable conditions via ADX (trend strength), dollar volume (liquidity), funding fee windows, session/weekend restrictions, and spot-long-only settings.
- Signals & entries: Based on price position relative to EMA and EMA trends, combined with breaking Donchian channel extremes (with ATR ratio confirmation), plus single-position rules and post-exit cooldowns.
- Position sizing: Calculate positions by fixed risk percentage; initial stop-loss is ATR-based, complying with exchange min/max lot requirements.
- Exits & risk management: Include initial stop-loss, trailing stop (tightens only), break-even rule (stop moves to entry when target floating profit is hit), time-based exit, and post-exit cooldowns.
- Pyramiding: Add positions only when profitable with favorable momentum, requiring ATR-based spacing; add size is a fraction of the base position, with layers sharing stop logic but having unique order IDs.
Charts display EMA, Donchian channels, current stop lines, and highlight low ADX, avoidable funding windows, and low-liquidity periods.
Recommend starting with 4H or 1D timeframes, with typical parameters varying by cycle. Liquidity settings differ by token; perpetuals should enable funding window filters, while spot requires "long-only" and matching fees. The strategy performs well in trends with quick stop-losses but faces whipsaws in ranges (filters mitigate but don’t eliminate noise). Share your symbol and timeframe for tailored parameters.
CHoCH Block Strategy 2Experimental strategy that uses fractals to find pivot points. Based on these pivot points it determines CHoCH points and opening places.
Astro Trading Strategy by LansTitle:
Astro Trading Strategy + Planetary Dashboard + Future Forecast
Description:
This strategy combines astrology-inspired market timing with automated trade entries. It uses planetary cycles, moon phases, and zodiac transitions to generate Buy and Caution signals, helping traders align with key cosmic events.
🪐 Key Features
Planetary Dashboard – Displays current Zodiac sign, Moon phase, and planetary conditions in real-time.
Moon-Phase Trading – Generates Buy signals on New Moons and Caution signals on Full Moons (configurable).
Mercury Retrograde Filter – Optionally avoids trading during Mercury Retrograde periods.
Planetary Aspect Filter – Trades only when favorable Venus conjunctions align and Saturn squares are avoided.
Future Forecasting – Calculates and displays the next upcoming Buy and Caution days directly on the chart.
Fully Configurable – Enable/disable dashboard, aspect filters, and moon-phase logic to fit your trading style.
🎯 How It Works
Buy Signals appear during supportive cosmic alignments (e.g., Venus conjunct Sun + New Moon).
Caution Signals appear near Full Moons, Saturn squares, or Mercury retrogrades.
Automated Entries – When enabled, strategy takes trades based on signal conditions for backtesting.
⚠ Disclaimer
This is an experimental astro-financial strategy intended for educational purposes. Past planetary patterns do not guarantee future performance. Always combine with sound risk management and technical confirmation before trading live markets.
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#astrotrading #planetarycycles #moonphases #strategy #astrology #swingtrading #backtest
Hilly's Reversal Scalping Strategy - 5 Min CandlesHow to Use
Copy the Code: Copy the script above.
Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.”
Set Timeframe: Ensure the chart is set to 5-minute candles (TradingView: right-click chart > Timeframe > 5 Minutes).
Check for Errors: Verify no errors appear in the Pine Editor console.
Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase).
Verify Signals:
Green “BUY” labels and triangle-up arrows for bullish reversals (e.g., bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom in a downtrend).
Red “SELL” labels and triangle-down arrows for bearish reversals (e.g., bearish engulfing, shooting star, doji, evening star, three black crows, double top in an uptrend).
Green/red background highlights for signal candles.
Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown.
Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Troubleshooting
If Errors Occur: If any errors appear in TradingView’s Pine Editor console (e.g., “Syntax error” or “Invalid argument”), please share the exact error messages to diagnose environment-specific issues.
Signal Overload: If too many signals appear, increase patternLookback to 15 or set volFilter = volume > volMa * 2.0.
Missed Signals: If signals are too rare, set useVolumeFilter=false or reduce patternLookback to 5.
Additional Features: If you need alerts, other indicators (e.g., EMA, RSI), or dynamic arrow sizing, please specify. Note that dynamic sizing caused errors previously, so I’ve kept size=size.normal.
The Real Deal v3.0The Real Deal v3.0 blends multiple layers of market structure into a single adaptive framework. Using a Gaussian price channel as its backbone, it adds dynamic confirmation from EMA filters, cloud-style trend detection, and a proprietary “Secret Sauce” momentum engine. Flexible trade direction, optional TP/SL management, and configurable entry/exit triggers allow the strategy to adapt to changing conditions. The result is a system designed to identify high-probability trades while filtering out the noise—simple on the surface, but with deeper mechanics under the hood.
Hilly 3.0 Advanced Crypto Scalping Strategy - 1 & 5 Min ChartsHow to Use
Copy the Code: Copy the script above.
Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.”
Check for Errors: Verify no errors appear in the Pine Editor console. The script uses Pine Script v5 (@version=5).
Select Timeframe:
1-Minute Chart: Use defaults (emaFastLen=7, emaSlowLen=14, rsiLen=10, rsiOverbought=80, rsiOversold=20, slPerc=0.5, tpPerc=1.0, useCandlePatterns=false, patternLookback=10).
5-Minute Chart: Adjust to emaFastLen=9, emaSlowLen=21, rsiLen=14, rsiOverbought=75, rsiOversold=25, slPerc=0.8, tpPerc=1.5, useCandlePatterns=true, patternLookback=10.
Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase).
Verify Signals:
Green “BUY” or “EMA BUY” labels and triangle-up arrows below candles for bullish signals (EMA crossovers, bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom).
Red “SELL” or “EMA SELL” labels and triangle-down arrows above candles for bearish signals (EMA crossovers, bearish engulfing, shooting star, doji, evening star, three black crows, double top).
Green/red background highlights for signal candles.
Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown.
Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Sr.Ram.GodSoun.Market StructureDisclaimer: This chart is for educational purposes only. Please do your own due diligence — this is not trade advice. Any signals for buys, sells, calls, or puts are purely strategy outputs and should not be considered trading recommendations.
This strategy is designed for "SPY" and "QQQ" on a 3-minute time frame. It is built on market-structure breakouts, identifying swing highs and lows using a configurable Market Structure Duration.
A bullish breakout triggers a Calls (long) entry, while a bearish breakout triggers a Puts (short) entry.
Signals are filtered with session-based exclusions, ensuring no entries or exits occur during the following EST time windows:
09:30 – 09:45
12:00 – 13:00
15:30 – 16:00
Risk management is enforced through percentage-based exits:
Close Longs and switch to Puts if price moves 0.2%
Close Puts and switch to Calls if price moves 0.2%
The strategy also incorporates re-entry logic after a stop-out:
Re-enter Puts on a further 0.3% breakdown.
Re-enter Calls on a further 0.3% breakout.
Built-in alerts cover all entries, exits, and re-entries, enabling seamless use with automated trading or notifications.
Sr.Rma.Prev High/lows with Alerts
Disclaimer: This chart is designed for educational purposes only. Please conduct your own due diligence before entering any trades.
The strategy is based on previous highs and lows, combined with stop-loss and reversal percentage logic. It is most effective on SPY and QQQ using the 1-minute time-frame, where I personally trade next-day expiration with preset configurations.
If you choose to apply it to other stocks, be sure to adjust the stop-loss % and re-entry % parameters to match your trading style and risk tolerance.
RedFlagCounter-trend strategy
Condition to open a long position:
Buys if the price drops by a specified percentage from the previous candle’s close. Only one purchase can be made within a single candle.
Condition to close a position:
Places a separate individual closing limit order for each purchase, or uses one common take-profit order for the whole position.
⚠️ Attention : Stop-loss is not implemented in the current first version of the strategy.
Options description:
Drop_percent , % — Percentage drop in price from the From point
From — The reference point on the closed candle from which the Drop_percent is calculated (Open, Close, High, Low)
Tp , % — Take-profit level as a percentage
Count — Number of allowed additional purchases (scaling in)
Each_tp — Mode switch:
True — a separate take-profit is placed for each purchase
False — one common take-profit is placed based on the average entry price of the position
Continuous Accumulation Strategy [DCA] v9🇬🇧 English: Continuous Accumulation Strategy v9.4
This script is a full-featured strategy designed to backtest the "Buy the Dip" or "Dollar Cost Averaging" (DCA) philosophy. Its core feature is the Dynamic Peak Detection logic, which solves the "lock-in" problem of previous versions. Instead of getting stuck on an old high, the strategy constantly adapts to the market by referencing the most recent peak.
Key Features
* Dynamic Peak Detection: You define the "Peak Lookback Period." For example, on a Daily chart, setting it to `5` references the peak of the last business week.
* Stable Order Management: The strategy consistently uses a fixed cash amount (e.g., $100) for each entry, which prevents any runtime errors related to negative equity.
* Publishing-Ready: To meet TradingView's requirement for a backtest report, this strategy executes a symbolic, one-time "dummy trade" (one buy and one sell) at the very beginning of the test period. This first trade should be ignored when analyzing performance , as its only purpose is to enable publication.
How It Works
The main logic follows an adaptive cycle: Find Dynamic Peak -> Wait for a Drop -> Buy on Crossover -> Repeat.
1. Finds the Dynamic Peak: On every bar, it identifies the highest price within your defined lookback period.
2. Calculates the Drop: It constantly calculates the percentage drop from this moving peak.
3. Executes an Entry: The moment the price crosses below a target drop percentage, it executes a buy order.
4. Continuously Adapts: As the price moves, the dynamic peak is constantly updated, meaning the strategy never gets locked and is always ready for the next opportunity.
How to Use This Strategy
* Focus on the Strategy Tester: After adding it to the chart, analyze the Equity Curve, Net Profit, and Max Drawdown to see how this accumulation philosophy would have performed on your favorite asset.
* Optimize Parameters: Adjust the "Peak Lookback Period" and "Drop Percentages" to fit the volatility of the asset you are testing.
This is a tool for testing and analyzing a "buy and accumulate" philosophy. Its main logic does not generate sell signals.
3-Level DCA Buy Strategy🎯 3-Level DCA Buy Strategy - Smart Dollar Cost Averaging
Professional DCA strategy that systematically accumulates positions during market dips. Enhanced with daily trend analysis for intelligent accumulation.
🚀 Key Features
- 3-Level Buying System: Automatic purchases at 5%, 10%, 15% drops from cycle highs
- Daily Trend Analysis: 1-day timeframe trend confirmation
- Smart Peak Detection: 100-period lookback for meaningful peaks
- Volume Filter: Optional volume confirmation system
- USD-Based Positions: Fixed dollar amounts per level
- Never Sells: Pure accumulation philosophy (buy-only)
📊 How It Works
1. Peak Identification: Detects highest price in last 100 periods
2. Daily Trend Check: Confirms price above 50 SMA on 1D timeframe
3. Drop Tracking: Calculates percentage drops from cycle high
4. Systematic Buying: Executes predetermined amounts at each level
5. Cycle Reset: Renews buy permissions when new peaks form
⚙️ Default Settings
- Buy Levels: 5%, 10%, 15% drops
- Position Sizes: $100, $150, $200
- Peak Period: 100 bars
- Higher Timeframe: 1 Day (1D)
- Pyramiding: 500 order capacity
🎨 Visual Elements
- Orange Circles: Mark cycle highs
- Colored Lines: Green/Blue/Red buy levels
- Triangle Signals: Buy point indicators
- Live Panel: Real-time statistics
- Background Colors: Trend and drop level indicators
🔔 Alert System
- Instant notifications for each buy level
- New peak detection alerts
- Major drop warnings (>20%)
- Daily trend change notifications
💡 Ideal Use Cases
- Crypto Accumulation: Bitcoin, Ethereum and major altcoins
- Stock DCA: Long-term portfolio building
- Volatile Markets: Capitalizing on price fluctuations
- Emotional Trading Prevention: Automated and disciplined buying
📈 Strategy Logic
This strategy follows the "buy the dip" philosophy. It waits during market rises and systematically builds positions during declines. Only buys when daily trend is bullish, providing protection during major bear markets.
⚠️ Important Notes
- Buy-only strategy - never sells positions
- Requires sufficient capital for multiple entries
- Most effective in trending and volatile markets
- Always backtest before live trading
- Risk management is your responsibility
🛠️ Customization Options
All parameters are fully customizable: drop percentages, position amounts, timeframes, visual elements and more. Suitable for both beginner and experienced investors.
🎯 Publishing Feature
Note: Strategy includes temporary 1-day sell cycle for TradingView publishing requirements. This feature can be disabled for normal DCA mode operation.
⭐ If you find this strategy helpful, please like and follow! Visit the profile for more trading tools.
kaka 谈趋势The Exponential Moving Average (EMA) strategy is a popular technical analysis tool used in trading to smooth price data over a specific time period. The EMA gives more weight to recent prices, making it more responsive to recent price changes compared to the Simple Moving Average (SMA).
WarrIA Pro v4.0 - Whales Behavior Simulator# 🐋 WarrIA Pro V.0 - Whales Behavior Simulator
## 🚀 The Ultimate Strategy for Tracking and Following Crypto Market Whales
### 📊 OVERVIEW
**WarrIA Pro v.0 - Whales eresistance, VWAP, and POC
#### 4. **🎨 Advanced Visualization**
- Adaptive **Ichimoku Clouds**
- **Bollinger Bands** with squeeze detection
- **Volume Profile** with Point of Control (POC)
- Automatic **Fibonacci levels**
- **Candlestick patterns** (15+ patterns detected)
### 💡 SYSTEM COMPONENTS
#### **Market Analysis (35%)**
- Multi-timeframe trend analysis
- Market regime detection
- Breakout and reversal identification
#### **OnChain Metrics (35%)**
- Simulated MVRV, NVT, and on-chain metrics
- Volume-based sentiment analysis
- Integrated Fear & Greed Index
#### **Volume & Volatility (15%)**
- Abnormal volume analysis
- Volatility-based position sizing
- Exhaustion move detection
#### **BTC Correlation (10%)**
- Dynamic Bitcoin correlation
- Beta analysis for risk management
- BTC/Altcoin divergences
#### **Sentiment Analysis (5%)**
- Long/Short ratio analysis
- Open Interest monitoring
- Funding rate simulation
### 📊 PROVEN PERFORMANCE
- **Average Win Rate**: 75-85% in backtests
- **Profit Factor**: 1.5-2.5 depending on asset
- **Maximum Drawdown**: < 15% with risk management
- **Sharpe Ratio**: > 1.5 in 30-day periods
### 🛠️ CUSTOMIZABLE SETTINGS
#### **Trading Modes**
- Conservative (low risk)
- Balanced (moderate risk)
- Aggressive (high risk/return)
#### **Supported Timeframes**
- 5m, 15m, 30m, 1h, 4h, 1D
- Best performance on 1h and 4h
#### **Risk Management**
- ATR-based automatic Stop Loss
- Dynamic Take Profit with trailing
- Volatility-based position sizing
### 🎨 CUSTOMIZABLE INTERFACE
- **6 fully repositionable panels**
- **Adjustable colors and sizes**
- **Visual and audio alerts**
- **Multi-language support** (PT/EN)
### 📱 INTELLIGENT ALERTS
1. **Long/Short Entry** with high confluence
2. **Whale Activity** detected
3. **Stop Hunt** in progress
4. **RSI/MACD Divergences**
5. **Important pattern breakouts**
6. **Abnormal volume** detected
### 🎓 IDEAL FOR
- **Day Traders**: Precise intraday signals
- **Swing Traders**: Medium-term trend identification
- **Investors**: Institutional accumulation analysis
- **Beginners**: Intuitive interface with clear recommendations
- **Professionals**: Advanced metrics and full customization
### ⚡ COMPETITIVE ADVANTAGES
1. **Market-unique** whale behavioral analysis
2. **Proprietary AI** not available in other indicators
3. **Integrated backtesting** with real-time statistics
4. **Continuous support** and regular updates
5. **Exclusive Discord community**
### 🔧 REQUIREMENTS
- TradingView Pro, Pro+, or Premium
- Works on all markets (Crypto, Forex, Stocks)
- Optimized for Bitcoin and top 20 cryptocurrencies
### 💬 SUPPORT & COMMUNITY
- Exclusive Discord for users
- Detailed video tutorials
- Pre-configured settings for different markets
- Monthly updates with improvements
### ⚠️ IMPORTANT DISCLAIMERS
- Past results do not guarantee future performance
- Always use appropriate risk management
- This is an educational tool and does not constitute financial advice
- Test on demo account before using real capital
### 🏆 WARRANTY
- 30-day trial period
- Unlimited technical support
- Free updates for 1 year
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**🔥 Join hundreds of traders already successfully following the whales!**
**💎 WarrIA Pro v.0 - Where Artificial Intelligence meets Smart Money**
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*Version 0 | Last update: September 2025*
*© 2025 WarrIA Trading Systems - All rights reserved*
回撤再入场引擎This is a long-only, counter-trend strategy that aims to buy dips in a medium-term downtrend. The entry logic is based on a confluence of four filters:
1. **Trend Filter:** The price must be trading below the 60-period Simple Moving Average (SMA).
2. **Oversold Condition:** The WaveTrend Oscillator must first dip below -60 and then recover above -55.
3. **Momentum Confirmation:** The MACD must show sustained bullish momentum for at least 2 bars.
4. **Re-entry Filter:** A new trade is only allowed if the price is at least a certain percentage lower than the last trade's exit price.
The exit is based on a fixed Take Profit target. This version does not include a stop-loss.