IU Martingale StrategyDESCRIPTION
This strategy is a Martingale-based trading system that enters a long position based on simple candle patterns and doubles the position size after each loss. It tracks the worst-case drawdown using a live risk matrix table to help traders visualize the downside. With clear profit and loss points, auto position sizing, and a risk visualization table, it’s perfect for backtesting the Martingale concept directly on charts.
WHAT IS MARTINGALE SYSTEM?
The Martingale system is a position-sizing strategy where you double your trade size after every loss, aiming to recover all previous losses with a single profitable trade. It assumes that a winning trade will eventually occur. While it can be high-risk, it’s often used in controlled environments or with high probability setups.
USER INPUTS
📦 Starting Position: Initial position size for the first trade
📈 Profit Points: Target profit in price points
📉 Loss Points: Stop loss in price points
📊 Show Risk Matrix Table: Enable or disable a live table showing current streak and risk stats
LONG CONDITION
A long trade is triggered when the current candle closes higher than it opened, and no open position exists. The condition is simple and used to simulate market entry for testing the Martingale logic.
// Entry Condition:
close > open and no existing position
LONG EXIT
Each trade has a fixed stop-loss and take-profit, based on the user's input:
Stop Loss = Entry Price − Loss Points
Take Profit = Entry Price + Profit Points
The exit is handled using strategy.exit() with these dynamic values.
WHY IT IS UNIQUE
🔁 Implements a dynamic Martingale position sizing system
📊 Includes a visual Risk Matrix Table tracking losing streaks, max size, and risk
📈 Automatically resets position size after a win
🧠 Smart use of array to manage loss history and control logic
🎯 Customizable SL and TP for each entry
🎨 Beautiful chart visuals for entry, stop loss, and target levels
HOW USER CAN BENEFIT FROM IT
🧪 Test the sustainability of a Martingale system with real chart data
👁️ Visualize the risks and impact of consecutive losses
📈 Explore risk vs. reward scenarios before deploying in real markets
🧰 Use it as a base template to build more advanced Martingale or grid-based systems
📚 Great for educational purposes to understand the mathematical drawdowns involved in doubling strategies
Disclaimer :
This Video is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
Statistics
SOL Smart Alert SystemITECS built this to work alongside my AI agent and scripts to provide a robust notification/alert system that can be configured to best work with the current market conditions.
80% Rule BacktestStrategy Overview: 80% Rule Backtest Tool
This strategy tester is designed to validate the classic 80% Rule setup within a defined ETH futures session. Signals are triggered when price reenters the prior day's value area and holds for a qualified duration — targeting the Point of Control (POC) for primary exits, while tracking full value area traversals for research purposes.
- 📅 Session Logic: Anchored to a true 22-hour ETH futures window (5PM–3PM Pacific), with global time zone support
- 🧠 Signal Confirmation: Price must reenter and hold inside value area for ≥ 45 minutes to validate entry
Note: Optimized for 15-minute charts — aligns exactly with traditional rule definition (3-bar hold)
- 🎯 Targets: Primary TP at POC; visual logs for full VAH/VAL reach
- 🔍 Manual Override Mode: Precise SVP-level control when auto logic isn’t preferred
- 🔧 Debug Mode: Single-bar diagnostic labels for development and forward testing
This tool supports both auto-calculated and manually anchored value areas, allowing traders to blend systematic backtesting with discretionary insight.
working on this tool to be used as a strategy tester
Z-Score Multi-Model ClusteringA price/volume clustering framework combining three market behavior models into a single indicator. Designed to help identify emerging trend strength, turning points, and volatility-driven entries or exits.
🔍 How It Works
This indicator classifies market states by comparing normalized price/volume behavior (via Z-Score) to different types of statistical or geometric "cluster centers." You can choose from three clustering approaches:
🧠 Clustering Models
1. Percentile (Z+CVD) – Trend Momentum Bias
Uses volume Z-Score + Cumulative Volume Delta (CVD).
Detects institutional pressure by clustering volume surges with directional delta.
Best for: Breakouts, momentum trades, volume-led reversals.
Cluster Colors:
🔹 Green triangle = Strong bullish confluence
🔻 Red triangle = Bearish divergence (bull trap risk)
⚪ Gray = Neutral/low conviction
2. Euclidean (Z+Slope) – Swing Mean-Reversion
Measures the angle of recent Z-score slope and compares it to directional cluster centers.
Helps detect early directional shifts or exhaustion.
Best for: Swing entries, pullback setups, exit timing
3. Hilbert Phase – Turn Detection via Signal Phase
Applies Hilbert Transform to the Z-Score, measuring the phase difference between trend and oscillator components.
Ideal for anticipating turns or detecting cyclical inflection points.
Useful for: Scalping, top/bottom spotting, volatility fades
✅ Features
Auto-updating cluster logic based on current data
Tooltips and clean user interface
Optional cluster bar coloring (can be toggled off)
Signal-only plotting keeps candlesticks readable
Clear entry/exit logic with triangle markers
Supports trend, swing, and oscillation-based systems
🛠️ Suggested Use Cases
Combine with VWAP, Session High/Low, or Liquidity Zones to confirm entry conditions.
Use Cluster 2 (strong bullish) on pullbacks to trend structure for add-on entries.
Use Cluster 1 in strong trends to watch for potential traps or exits.
Toggle models based on your strategy: e.g., Hilbert for scalping, Percentile for macro trend breaks.
🧪 Best Timeframes
Works across all markets and timeframes
For Percentile (Z+CVD), use intraday TF with 1m–5m CVD source
Hilbert and Euclidean preferred on 5m–1h for accurate slope/phase signals
⚠️ Notes
Clusters do not generate trade signals alone; use them in context with structure, VWAP, or trend filters.
Marker signals are filtered with a magnitude threshold to reduce noise.
Eliora Gold 1min (Heikin Ashi)Eliora -focused trading strategy designed for anything on the 1-minute timeframe using Heikin Ashi candles. This mode combines advanced market logic with structured risk management to deliver smooth, disciplined trade execution.
Key Features:
✅ Trend Confirmation – Aligns with dominant market direction for higher accuracy.
✅ ATR-Based Volatility Filter – Avoids high-risk conditions and chaotic price action.
✅ Candle Strength Logic – Filters weak setups, focusing on strong momentum.
✅ Balanced Risk/Reward – Calculates stop-loss and take-profit dynamically for consistent results.
✅ Cooldown & Overtrade Protection – Limits frequency to maintain trade quality.
This version of Eliora is built for scalpers and intraday traders seeking high-probability entries with graceful exits.
Orthogonal Projections to Latent Structures (O-PLS)Version 0.1
Orthogonal Projections to Latent Structures (O-PLS) Indicator for TradingView
This indicator, named "Orthogonal Projections to Latent Structures (O-PLS)", is designed to help traders understand the relevance or predictive power of various market variables on the future close price of the asset it's applied to. Unlike standard correlation coefficients that show a simple linear relationship, O-PLS aims to separate variables into "predictive" (relevant to Y) and "orthogonal" (irrelevant noise) components. This Pine Script indicator provides a simplified proxy of the relevance score derived from O-PLS principles.
Purpose of the Indicator
The primary purpose of this indicator is to identify which technical factors (such as price, volume, and other indicators) have the strongest relationship with the future price movement of the current trading instrument. By providing a "relevance score" for each input variable, it helps traders focus on the most influential data points, potentially leading to more informed trading decisions.
Inputs
The indicator offers the following user-definable inputs:
* **Lookback Period:** This integer input (default: 100, min: 10, max: 500) determines the number of past bars used to calculate the relevance scores for each variable. A longer lookback period considers more historical data, which can lead to smoother, less reactive scores but might miss recent shifts in variable importance.
* **External Asset Symbol:** This symbol input (default: `BINANCE:BTCUSDT`) allows you to specify an external asset (e.g., `BINANCE:ETHUSDT`, `NASDAQ:TSLA`) whose close price will be included in the analysis as an additional variable. This is useful for cross-market analysis to see how other assets influence the current chart.
* **Plot Visibility Checkboxes (e.g., "Plot: Open Price Relevance", "Plot: Volume Relevance", etc.):** These boolean checkboxes allow you to toggle the visibility of individual relevance score plots on the chart, helping to declutter the display and focus on specific variables.
Outputs
The indicator provides two main types of output:
Relevance Score Plots: These are lines plotted in a separate pane below the main price chart. Each line corresponds to a specific market variable (Open Price, Close Price, High Price, Low Price, Volume, various RSIs, SMAs, MFI, and the External Asset Close). The value of each line represents the calculated "relevance score" for that variable, typically scaled between 0 and 10. A higher score indicates a stronger predictive relationship with the future close price.
Sorted Relevance Table : A table displayed in the top-right corner of the chart provides a clear, sorted list of all analyzed variables and their corresponding relevance scores. The table is sorted in descending order of relevance, making it easy to identify the most influential factors at a glance. Each variable name in the table is colored according to its plot color, and the external asset's name is dynamically displayed without the "BINANCE:" prefix.
How to Use the Indicator
1. **Add to Chart:** Apply the "Orthogonal Projections to Latent Structures (O-PLS)" indicator to your desired trading chart (e.g., ETH/USDT).
2. **Adjust Inputs:**
* **Lookback Period:** Experiment with different lookback periods to see how the relevance scores change. A shorter period might highlight recent correlations, while a longer one might show more fundamental relationships.
* **External Asset Symbol:** If you trade BTC/USDT, you might add ETH/USDT or SPX as an external asset to see its influence.
3. **Analyze Relevance Scores:**
* **Plots:** Observe the individual relevance score plots over time. Are certain variables consistently high? Do scores change before significant price moves?
* **Table:** Refer to the sorted table on the latest confirmed bar to quickly identify the top-ranked variables.
4. **Incorporate into Strategy:** Use the insights from the relevance scores to:
* Prioritize certain indicators or price actions in your trading strategy. For example, if "Volume" has a high relevance score, it suggests volume confirmation is critical for future price moves.
* Understand the influence of inter-market relationships (via the External Asset Close).
How the Indicator Works
The indicator works by performing the following steps on each bar:
1. **Data Fetching:** It gathers historical data for various price components (open, high, low, close), volume, and calculated technical indicators (SMA, RSI, MFI) for the specified `lookback` period. It also fetches the close price of an `External Asset Symbol` .
2. **Standardization (Z-scoring):** All collected raw data series are standardized by converting them into Z-scores. This involves subtracting the mean of each series and dividing by its standard deviation . Standardization is crucial because it brings all variables to a common scale, preventing variables with larger absolute values from disproportionately influencing the correlation calculations.
3. **Correlation Calculation (Proxy for O-PLS Relevance):** The indicator then calculates a simplified form of correlation between each standardized input variable and the standardized future close price (Y variable) . This correlation is a proxy for the relevance that O-PLS would identify. A high absolute correlation indicates a strong linear relationship.
4. **Relevance Scaling:** The calculated correlation values are then scaled to a range of 0 to 10 to provide an easily interpretable "relevance score" .
5. **Output Display:** The relevance scores are presented both as time-series plots (allowing observation of changes over time) and in a real-time sorted table (for quick identification of top factors on the current bar) .
How it Differs from Full O-PLS
This indicator provides a *simplified proxy* of O-PLS principles rather than a full, mathematically rigorous O-PLS model. Here's why and how it differs:
* **Dimensionality Reduction:** A full O-PLS model would involve complex matrix factorization techniques to decompose the independent variables (X) into components that are predictive of Y and components that are orthogonal (unrelated) to Y but still describe X's variance. Pine Script's array capabilities and computational limits make direct implementation of these matrix operations challenging.
* **Orthogonal Components:** A true O-PLS model explicitly identifies and removes orthogonal components (noise) from the X data that are unrelated to Y. This indicator, in its simplified form, primarily focuses on the direct correlation (relevance) between each X variable and Y after standardization, without explicitly modeling and separating these orthogonal variations.
* **Predictive Model:** A full O-PLS model is ultimately a predictive model that can be used for regression (predicting Y). This indicator, however, focuses solely on **identifying the relevance/correlation of inputs to Y**, rather than building a predictive model for Y itself. It's more of an analytical tool for feature importance than a direct prediction engine.
* **Computational Intensity:** Full O-PLS involves Singular Value Decomposition (SVD) or Partial Least Squares (PLS) algorithms, which are computationally intensive. The indicator uses simpler statistical measures (mean, standard deviation, and direct correlation calculation over a lookback window) that are feasible within Pine Script's execution limits.
In essence, this Pine Script indicator serves as a practical tool for gaining insights into variable relevance, inspired by the spirit of O-PLS, but adapted for the constraints and common use cases of a TradingView environment.
Entry Signal Paint (RSI + DMI + Stoch + MACD)RSI above 60
Stoch - cross overslod
DMI - Ungli
// === RSI Condition ===
rsi = ta.rsi(rsiSource, rsiPeriod)
rsiCondition = rsi > 60
// === ADX and DI Condition ===
adx = ta.adx(adxPeriod)
plusDI = ta.plus_di(adxPeriod)
minusDI = ta.minus_di(adxPeriod)
adxCondition = adx > 15 and plusDI > minusDI
// === Stochastic Condition ===
k = ta.stoch(close, high, low, stochK)
d = ta.sma(k, stochD)
stochOversoldCross = ta.crossover(k, d) and k < 20
Aggressive RSI + EMA Strategy with TP/SLWhat This Strategy Does 🔥
📉 It monitors RSI to find when the market is potentially oversold (RSI < 40) or overbought (RSI > 60).
📈 It checks the trend direction using two EMAs — fast EMA (short-term) and slow EMA (long-term).
✅ It only buys when the market looks oversold and the short-term trend is up (fast EMA > slow EMA).
❌ It only sells when the market looks overbought and the short-term trend is down (fast EMA < slow EMA).
💰 Once in a trade, it sets a take profit at 1% gain and a stop loss at 0.5% loss — so profits are locked and risks controlled.
🔄 This cycle repeats continuously, aiming to catch many small, quick moves rather than waiting for big swings.
🚀 The aggressive RSI thresholds mean it triggers trades more often — ideal for active traders who want lots of setups.
📊 It shows clear visual indicators and plots on the chart so you can easily see entries, exits, and indicator levels.
🔔 It also supports alerts, so you can get notified instantly when a trade setup happens.
In short, it’s a fast, trend-aware momentum strategy with built-in risk control designed for active trading and consistent small wins.
Multi-Crypto Principal Component AnalysisVersion 0.2
## 📌 Multi-Crypto Principal Component Analysis (PCA) — Indicator Summary
### 🎯 Purpose
This indicator identifies **cryptocurrency assets that are behaving differently** from the rest of the market, using a simplified approach inspired by Principal Component Analysis (PCA). It’s designed to help traders spot **cross-market divergences**, detect outliers, and improve asset selection and correlation-based strategies.
### ⚙️ How It Works
The indicator analyzes the **log returns** of up to 7 user-defined assets over a configurable lookback period (default: 100 bars). It computes the **z-score** (standardized deviation) for each asset’s return series and compares it against the average behavior of the group.
If an asset’s behavior deviates significantly (beyond a threshold of 1.5 standard deviations), it’s flagged as an **outlier**.
- Each outlier is plotted as a **colored dot horizontally spaced** above the price bar
- Up to **3 dots per bar** are shown for visual clarity
This PCA-style detection works in real time, directly on the chart, and gives you a quick overview of which assets are breaking correlation.
### 🔧 Inputs
- 🕒 **Lookback Period**: Number of bars to analyze (default: 100)
- 🔢 **Assets 1–7**: Choose any 7 crypto symbols from any exchange
- 🎨 **Colors**: Predefined per asset (e.g. BTCUSDT = red, ETHUSDT = yellow)
- 📈 **Threshold**: Internal (1.5 std dev); adjustable in code if needed
### 📊 Outputs
- 🟢 Dots above candles representing assets that are acting as outliers
- 🧠 Real-time clustering insight based on statistical deviation
- 🧭 Spatially spaced dots to avoid visual overlap when multiple outliers appear
### ⚠️ Limitations
- This is a **PCA-inspired approximation**, not true matrix-based PCA
- It does **not compute principal components or eigenvectors**
- Sensitivity may vary with asset volatility or sparse trading data
- Real PCA requires external tools like Python or R for full dimensional analysis
This tool is ideal for traders who want real-time crypto correlation insights without needing external data science platforms. It’s lightweight, fast, and highly visual — and gives you a powerful lens into market dislocations across multiple assets.
Multi-TF Z-Score IndicatorIndicator to find the Z score for the daily 4h, 1h, 15m and 5 min time frames with 20 previous samples.
ZScore Plot with Ranked TableVersion 0.1
ZScore Plot with Ranked Table — Overview
This indicator visualizes the rolling ZScores of up to 10 crypto assets, giving traders a normalized view of log return deviations over time. It's designed for volatility analysis, anomaly detection, and clustering of asset behavior.
🎯 Purpose
• Show how each asset's performance deviates from its historical mean
• Identify potential overbought/oversold conditions across assets
• Provide a ranked leaderboard to compare asset behavior instantly
⚙️ Inputs
• Lookback: Number of bars to calculate mean and standard deviation
• Asset 1–10: Choose up to 10 symbols (e.g. BTCUSDT, ETHUSDT)
📈 Outputs
• ZScore Lines: Each asset plotted on a normalized scale (mean = 0, SD = 1)
• End-of-Line Labels: Asset names displayed at latest bar
• Leaderboard Table: Ranked list (top-right) showing:
◦ Asset name (color-matched)
◦ Final ZScore (rounded to 3 decimals)
🧠 Use Cases
• Quantitative traders seeking cross-asset momentum snapshots
• Signal engineers tracking volatility clusters
• Risk managers monitoring outliers and systemic shifts
Daily Gain/Loss Statistics by Day of WeekDaily Gain/Loss Statistics by Day of Week
Overview
This Pine Script indicator analyzes historical price data to provide comprehensive day-of-week performance statistics, helping traders identify patterns and optimize their trading strategies based on which days historically perform better or worse.
Key Features
📊 Day-of-Week Analysis
7-day breakdown showing Monday through Sunday statistics
Average Gain % - Average percentage gains on winning days for each day of the week
Average Loss % - Average percentage losses on losing days (displayed with minus sign)
Median High % - Typical percentage move from open to daily high
Median Low % - Typical percentage move from open to daily low
🎯 Visual Performance Indicators
🚀 Rocket symbol - Marks the best performing day (highest average gains)
🔻 Red triangle down - Marks the worst performing day (lowest average gains)
Current day highlighting - Today's row highlighted in yellow (#ffdd444b)
⚡ Real-Time Session Tracking
Current Session row - Shows today's performance percentage in real-time
Color-coded gains/losses - Green for positive, red for negative
🎨 Professional Themes
⚙️ Customization Options
Date range selection - Choose specific time periods for analysis
Table positioning - 9 different screen positions
Table sizing - 6 size options from tiny to huge
Timeframe protection - Works only on 1D timeframe with user-friendly warnings
How It Works
Data Collection - Analyzes daily OHLC data within your selected date range
Day Classification - Categorizes each trading day by day of the week
Statistical Calculation - Computes averages and medians for each day type
Performance Ranking - Identifies best and worst performing days
Real-Time Display - Shows current session performance vs historical patterns
Trading Applications
Entry/Exit Timing - Identify optimal days for opening/closing positions
Risk Management - Avoid trading on historically poor-performing days
Strategy Optimization - Align trading strategies with day-of-week patterns
Market Timing - Understand weekly market cycles and seasonality
This indicator transforms raw price data into actionable intelligence, helping traders make more informed decisions based on proven historical day-of-week performance patterns.
8 AM & 9 AM NY Candle HighlighterThis indicator helps me to know when the 9am NY candle has closed above or below the previous candle.
DOGE 15MIN**Warm Reminder:** This strategy is intended solely for exploratory research and experimentation to evaluate the effectiveness of various signals. Drawing inspiration from patterns observed on the DOGE cryptocurrency 15-minute chart, it provides a tailored framework to identify potential trading opportunities. For optimal results, it is currently recommended exclusively for DOGE 15min charts. Remember, trading involves inherent risks, and past performance is not indicative of future results. We are dedicated to ongoing optimizations and refinements to enhance its robustness across broader applications—stay tuned for updates!
#### **A. Long Entry Signals**
These conditions trigger a long position entry, provided the strategy has no existing position (position_size == 0) and is not blocked. Signals can be enabled/disabled via input toggles (e.g., enable_vix).
- **VIX Reversal (vix_long)**: VIX signal shifts from high to low volatility (non-high volatility), with RSI between 30-50.
- **RSI Oversold (rsi_long)**: RSI crosses above 30.
- **CVD Bullish (cvd_long)**: CVD is rising.
- **Price RSI Bullish (prsi_long)**: Price RSI crosses above 30 or a long signal is triggered.
- **RangeEMA Bullish (rema_long)**: Candlestick is above POC, with KAMA trend flipping upward.
- **ZVWAP Oversold (zvwap_long)**: ZVWAP enters the oversold zone.
- **KAMA + Volume Bullish (kama_long)**: KAMA trend flips upward, candlestick is above POC, volume is rising, and the candle is bullish (green).
- **Volume Burst Bullish (vol_burst_long)**: Volume RSI crosses below threshold (default 70), open > close (bearish/red candle), triggered within the last two candles. **Special: Ignores all blocks** (bypasses not_long, Pivot, OI, RSI/ADX extreme filters).
#### **B. Short Entry Signals**
Similar to long entries: requires no existing position and no blocks.
- **RSI Overbought (rsi_short)**: RSI crosses below 70.
- **CVD Bearish (cvd_short)**: CVD is declining.
- **Price RSI Bearish (prsi_short)**: Price RSI crosses below 70 or a short signal is triggered.
- **RangeEMA Bearish (rema_short)**: Candlestick is below POC, with KAMA trend flipping downward.
- **ZVWAP Overbought (zvwap_short)**: ZVWAP enters the overbought zone.
- **KAMA + Volume Bearish (kama_short)**: KAMA trend flips downward, candlestick is below POC, volume is declining, and the candle is bearish (red).
- **Chop Bearish (chop_short)**: Chop crosses below 38.2, with RSI > 50.
- **Volume Burst Bearish (vol_burst_short)**: Volume RSI crosses below threshold (default 70), RSI > 70, and close > open (bullish/green candle), triggered within the last two candles. **Special: Ignores all blocks** (bypasses not_short, Pivot, OI, RSI/ADX extreme filters).
#### **C. Long Entry Blocks/Filters**
These conditions block long entries unless the signal ignores blocks (e.g., Volume Burst).
- **Base Prohibition (not_long)**: Volume is declining, or ADX is bearish (di_bear), or VIX is in high volatility (vix_flag), or RSI < 30.
- **Pivot Filter**: Recent Pivot is in a disadvantaged position.
- **OI Filter**: OI is declining.
- **RSI/ADX Extreme Filter**: RSI > 70 or ADX is bullish (di_bull).
- **Other**: Strategy already has a position (position_size != 0), or extreme volatility (is_extreme, though disabled in code).
#### **D. Short Entry Blocks/Filters**
Similar to long blocks.
- **Base Prohibition (not_short)**: Volume is rising, or (Chop < 38.2 and RSI > 50), or ADX is bullish (di_bull), or RSI > 70.
- **Pivot Filter**: Recent Pivot is in a disadvantaged position.
- **OI Filter**: OI is rising.
- **RSI/ADX Extreme Filter**: RSI < 30 or ADX is bearish (di_bear).
- **Other**: Existing position, or extreme volatility.
#### **E. Long Exit Signals**
Triggers closing of long positions, based on states (e.g., super_long, weak_long, only_kama).
- **KAMA Bearish Flip (exist_long)**: KAMA trend flips downward, or KAMA is downward with a short signal.
- **VIX Signal**: VIX shifts from low to high volatility, with RSI < 50.
- **Reversal Signal**: Short signal present and KAMA is downward.
- **Weak Trend Stop-Loss (weak_stop_long)**: In weak_long state, candlestick near POC, and close crosses below POC.
- **Weak KAMA Stop-Loss (weak_kama_long)**: In weak_long state, candlestick far from POC, and KAMA trend reverses.
- **Global Exit (exist_all)**: Volume RSI crosses below threshold (vol_under), or KAMA exit (kama_exit_long), or weak stop-loss, etc.
- **Special**: If in strong_long_hold (only_kama and KAMA remains bullish), ignore certain exit signals to hold the position.
#### **F. Short Exit Signals**
Similar to long exits.
- **KAMA Bullish Flip (exist_short)**: KAMA trend flips upward, or KAMA is upward with a long signal.
- **Reversal Signal**: Long signal present and KAMA is upward.
- **Weak Trend Stop-Loss (weak_stop_short)**: In weak_short state, candlestick near POC, and close crosses above short_state.current_max.
- **Weak KAMA Stop-Loss (weak_kama_short)**: In weak_short state, candlestick far from POC, and KAMA flips upward.
- **Global Exit (exist_all)**: Same as above.
Vortex Hunter X - Strategy (3-Min TF) | PEPE Signal (Binance)⚙️ Vortex Hunter X - Strategy (3-Min TF) | PEPE Signal (Binance)
This strategy is designed for analyzing the PEPE/USDT pair on Binance Futures within the TradingView platform, and can be used to execute trades on any exchange of your choice.
Each position has a fixed 4% profit target and a fixed 2% stop loss. These parameters are hard-coded and do not change dynamically. The risk-to-reward ratio is fixed at 1:2.
🔎 Non-Repainting Signals and Consistency Between Backtest and Live Trading
The signals generated by this strategy are completely non-repainting, meaning once a signal is issued, it will not be altered or modified later.
Backtesting results and live trading performance on TradingView are exactly consistent, demonstrating the high reliability of the strategy.
🔁 Note About Replay Mode on TradingView
When running the strategy in Replay mode on TradingView (historical playback of the chart), you may notice some differences compared to live or backtest results.
These differences arise due to the way data is processed in Replay mode and delays in how certain filters access past information.
✅ However, it is important to understand that these differences do not indicate any repainting of signals. In live and backtest modes, signals are generated exactly according to the strategy’s logic without any changes.
🔄 Important Recommendation for Proper Script Loading
Due to the use of complex filters, multi-stage processing, and sensitive conditions in the signal logic, sometimes the browser cache may cause the script not to load fully or precisely, or some components may load with delays.
This can lead to signals not displaying correctly or minor issues in the strategy’s performance.
✅ Therefore, it is strongly recommended to clear your browser cache or press Ctrl + F5 for a full refresh on the TradingView chart page before the first use and periodically (e.g., every few days).
This ensures the script loads freshly and completely from TradingView servers, enabling accurate and smooth strategy operation.
⚠️ Important Usage Notes:
🔸 This strategy is specifically designed and optimized only for the following conditions:
Symbol: PEPEUSDT
Exchange: BINANCE
Market: Futures
Timeframe: 3 minutes (3m)
🔸 For accurate signals, please ensure the strategy runs only on the PEPE/USDT Futures chart on Binance with a 3-minute timeframe in TradingView.
🔸 ⚠️ Note: For actual trading execution, you may use any exchange (e.g., Binance, Bybit, OKX, etc.), but analysis and strategy operation must be performed strictly within TradingView with the exact above settings.
Using the strategy on incorrect symbols, timeframes, or markets may result in invalid signals.
ℹ️ Strategy Naming:
Each strategy’s name clearly indicates the asset it is configured for.
For example:
Vortex Hunter X - Strategy (3-Min TF) | PEPE Signal (Binance) for PEPE
Vortex Hunter X - Strategy (3-Min TF) | SUI Signal (Binance) for SUI
Currently, the strategy is configured and optimized for only these two pairs:
PEPEUSDT (Binance Futures)
SUIUSDT (Binance Futures)
📌 Purchasing a single subscription grants you access to both strategies (PEPE and SUI).
📈 More assets will be added to this strategy in the future, and subscribers will gain access to new versions automatically.
✅ Summary of Settings:
🎯 Take Profit (TP): 4%
⛔ Stop Loss (SL): 2%
📊 Risk-to-Reward Ratio: 1:2
⏱️ Timeframe: 3 minutes
🧪 Target Market: PEPE Futures on Binance
📩 For access or support, contact:
Polaris Trend All-in-One📘 Polaris Trend Indicator: Trading Rules & Strategy
Guide
The Polaris Trend Indicator is designed to simplify trading decisions by identifying key entry
and exit signals without the need for excessive technical analysis. This system combines the
Polaris Trend with the Polaris Golden Wave and Market Bias tools to give you confidence
across multiple timeframes.
This guide outlines clear trading rules for two use cases:
● Swing Trading
● Long-Term Investing and Holding
⚡ Swing Trading Strategy
Swing trading can be challenging when the market direction is unclear. The Polaris Trend helps
traders stay on the right side of momentum with straightforward visual signals. This approach is
best used on the Daily or Weekly chart.
✅ Entry Criteria (Bullish Trades)
● A solid green column appears above the zero line.
● A green upward arrow confirms bullish momentum.
● Enter your trade immediately when the green column first appears.
● Hold the trade until a red column appears, signaling a shift in momentum.
🚫 Exit Criteria (Bullish Trades)
● The first appearance of a red column after a green run.
● Multiple green columns followed by a red column.
● Do not enter trades mid-trend; always enter on the first green flip.
***Recommended Swing Strategy
● When a new daily green column appears but the weekly columns are still red, stay
nimble. Enter your position when the Polaris Trend Indicator turns green and displays an
upward-pointing arrow.
● If the price pulls back to a higher low but a red daily column forms, sell 50% of your
position and move your stop loss to your original entry. Then, wait for the next daily
green column and arrow to reappear, this is your signal to reenter the 50% you exited.
● If the price continues to rise and the weekly columns also turn green, shift your focus
to the weekly chart. Ignore daily signals and hold the trade until the weekly column
turns red, which will be your cue to exit. The weekly green column is your confirmation of
a stronger uptrend and a potential longer hold.
🔻 Entry Criteria (Bearish Trades)
● A solid red column appears below the zero line.
● A red downward arrow confirms bearish momentum.
● Enter your short trade immediately when the red column first appears.
● Hold until a green column appears, indicating momentum has shifted.
🔁 Exit Criteria (Bearish Trades)
● The first green column that follows a red sequence.
● Same rule applies: enter only on the initial flip, not mid-trend.
Note: The first color flip is the most reliable entry point. Avoid entering positions
deep into a trend, wait for the clear signal from Polaris.
🧭 Long-Term Investing Strategy
This approach combines the Polaris Golden Wave, Polaris Trend, and Market Bias to help
long-term investors buy at deep value levels and scale into positions over time.
📉 Ideal Entry: Golden Zone + Polaris Trend Signal
● Use the Golden Wave to identify the monthly 0.618–0.826 retracement zone
(significant discount levels).
● When price enters the Golden Zone and the Polaris Trend shows a green column on
the Daily or Weekly, this is your optimal entry point.
● If the trend turns red inside the zone, consider trimming positions and re-entering on the
next bullish signal.
If price drops below the Golden Zone, the stock becomes even more undervalued,
wait for the next green Polaris Trend signal to enter.
💰 Secondary Entry: Market Bias Rebounds
● If you miss the Golden Zone entry or are dollar-cost averaging:
○ Use the Market Bias on a Weekly timeframe.
○ Wait for price to retrace into the Market Bias band after moving higher.
○ Look for a red Polaris Trend column, then wait for price to enter the Market
Bias band and once it enters, wait for Polaris Trend signal to flip back to green
for your entry. If the trend turns red inside the zone, consider trimming positions
and re-entering on the next bullish signal.
Think of the Market Bias like a lake and price like a skipping stone—you want to
buy when the stone comes down and touches the surface.
📊 Indicator Explanations
🔶 Golden Wave (Monthly Fibonacci Retracement Zones)
● Highlights key monthly retracement zones (0.618 to 0.826).
● Helps identify deep-value entries on longer timeframes.
● Visible across all chart timeframes for consistent macro reference.
🔴 Market Bias (Smoothed Heikin-Ashi Trend Filter)
● Measures trend direction and strength using smoothed Heikin-Ashi candles and
oscillation logic.
● Customizable smoothing, oscillator period, and timeframe inputs.
● Option to display trend signals in a separate pane with dynamic coloring.
This combined approach empowers traders to make high-quality decisions with clarity and
discipline. Whether you're entering short-term swings or building long-term positions, the
Polaris Trend system guides you with timely, data-driven signals.
[🧪] LABS-ANALYTIX: CANDLE.BEHAVIORAL.ANALYTIX LABS ANALYTIX – Indicator Description
LABS ANALYTIX is your on‑demand Market Recon Tool. It scans every candle across your chosen timeframe and breaks out key performance metrics by weekday, so you can pinpoint patterns, optimize entries, and manage risk with surgical precision.
Features:
• Weekday Performance Metrics – Calculates % of up vs. down candles for Mon→Sun
• Average Gain & Loss – Computes mean gain on winning days and mean loss on losing days
• Max Single‑Bar Run‑Up – Identifies the largest one‑bar gain per weekday
• Max Single‑Bar Drawdown – Identifies the largest one‑bar loss per weekday
• Historical Lookback Control – Set “Lookback Bars” to limit analysis to the most recent X bars or use “0” for full history
• Neon‑themed Table Overlay – Renders a compact, color‑coded table in the top‑right corner for instant tactical insight
Use Cases:
• Discover your strongest and weakest weekdays
• Quantify average move sizes to tailor your stop‑loss and take‑profit levels
• Identify outlier candles for potential trade setups or cautionary risk flags
• Drill into specific timeframes with adjustable lookback
How to Use:
1. Add the indicator to any chart (overlay=false).
2. Adjust “Lookback Bars” input to focus on recent samples or entire history.
3. Refer to the Neon Table to guide your weekly trade cadence and refine strategy.
INTELLECT-AURAINTELLECT‑AURA is a premium charting tool that fuses multiple layers of market context into one unified view—helping you spot high‑confidence trade opportunities without drowning in indicators.
Dynamic Trend Ribbon
A six‑line exponential ribbon adapts to price action, shifting its hue to show when the market is in a strong uptrend, downtrend, or in a corrective pullback phase—so you know at a glance whether to favor longs, shorts, or stand aside.
Customizable Buy/Sell Markers
Proprietary cross‑over and pullback logic triggers clear BUY and SELL labels directly on your chart, filtered through our adaptive trend ribbon to reduce noise and false signals.
Real‑Time Multi‑Timeframe Pulse
A compact status box tracks trend direction across key timeframes—from 5 minutes up to daily—plus an embedded momentum oscillator readout, giving you an instant “market health” snapshot without ever leaving your main chart.
Session Extension Pivot Levels
Daily pivot zones automatically calculate and extend into the current session as clean support and resistance lines, helping you set precise entries, stops, and targets.
Fully Toggleable Display
Turn on or off any component—trend ribbon, signals, status panel, or pivot lines—to tailor the workspace to your strategy and avoid clutter.
Built‑In Alerts
Receive real‑time notifications for every signal, so you never miss a trade setup whether you’re glued to the screen or on the move.
Why Traders Love INTELLECT‑AURA:
Cuts through the noise with an elegant, all‑in‑one dashboard
Aligns entries with both micro and macro trends
Helps manage risk around proven pivot zones
Ideal for scalpers, day‑traders, and swing‑traders seeking precision
Note: Core logic remains intentionally abstracted to preserve its edge. Users get robust signals and clean visuals without ever seeing the underlying thresholds.
INTELLECT-ZENINTELLECT-ZEN — Smart Market Reversal Detection
INTELLECT-ZEN is a proprietary, high-precision indicator designed to identify key market turning points using a unique combination of price behavior, volatility dynamics, and structural confirmation.
Crafted for traders who demand quality over quantity, this tool helps you:
Spot high-confidence buy and sell signals at key levels
Avoid fakeouts and low-probability setups
Stay aligned with smart-money market shifts
🧠 What Makes INTELLECT-ZEN Unique?
Adaptive signal logic filters out noise and focuses only on the most probable reversal setups.
Designed to detect liquidity-driven price traps and align entries with shifts in momentum.
Combines multiple market layers into a single streamlined signal.
Built-in alerts ensure you never miss a setup, whether you're at the screen or not.
⚙️ Fully Customizable Inputs:
Adjustable sensitivity and filters to suit scalping, day trading, or swing trading.
Works across all major asset classes: Crypto, Forex, Stocks, Indices, and more.
✅ Why Traders Love INTELLECT-ZEN:
Clean, intuitive signal display — no clutter
Avoids laggy indicators and common retail traps
Works with or without confluence from other strategies
Confidence-building tool for precise entries and timely exits
📌 Note: This is a proprietary system. The logic behind signal generation is intentionally abstracted to protect the effectiveness and uniqueness of the tool.
INTELLECT-AURAINTELLECT‑AURA is a premium charting tool that fuses multiple layers of market context into one unified view—helping you spot high‑confidence trade opportunities without drowning in indicators.
Dynamic Trend Ribbon
A six‑line exponential ribbon adapts to price action, shifting its hue to show when the market is in a strong uptrend, downtrend, or in a corrective pullback phase—so you know at a glance whether to favor longs, shorts, or stand aside.
Customizable Buy/Sell Markers
Proprietary cross‑over and pullback logic triggers clear BUY and SELL labels directly on your chart, filtered through our adaptive trend ribbon to reduce noise and false signals.
Real‑Time Multi‑Timeframe Pulse
A compact status box tracks trend direction across key timeframes—from 5 minutes up to daily—plus an embedded momentum oscillator readout, giving you an instant “market health” snapshot without ever leaving your main chart.
Session Extension Pivot Levels
Daily pivot zones automatically calculate and extend into the current session as clean support and resistance lines, helping you set precise entries, stops, and targets.
Fully Toggleable Display
Turn on or off any component—trend ribbon, signals, status panel, or pivot lines—to tailor the workspace to your strategy and avoid clutter.
Built‑In Alerts
Receive real‑time notifications for every signal, so you never miss a trade setup whether you’re glued to the screen or on the move.
Why Traders Love INTELLECT‑AURA:
Cuts through the noise with an elegant, all‑in‑one dashboard
Aligns entries with both micro and macro trends
Helps manage risk around proven pivot zones
Ideal for scalpers, day‑traders, and swing‑traders seeking precision
Note: Core logic remains intentionally abstracted to preserve its edge. Users get robust signals and clean visuals without ever seeing the underlying thresholds.
UniversalPositionCalculatorV5🚀 Universal Position Calculator v5 (with Margin-Check) 🚀
Stop using calculators and complicated Excel sheets! 🤯 With the Universal Position Calculator v5, you have the ultimate tool right on your TradingView chart to manage your position size perfectly. Whether it's Forex, Gold, or Indices – this indicator does all the work for you!
✨ What does this indicator do? ✨
This indicator is your personal risk manager. It calculates the exact lot size for your next trade based on your capital, your desired risk, and your leverage. The best part? It immediately checks if your trade is even possible with your margin and warns you if you're about to over-leverage your account! 🚦
🌟 Key Features at a Glance 🌟
Automatic Lot Calculation: Just enter your risk in percent, and the indicator calculates the perfect lot size.
Margin Check: Instantly detects if your desired position size is limited by your margin and adjusts it. No more margin calls due to oversized positions!
For All Asset Classes: Works perfectly for Forex pairs (e.g., EURUSD) and other assets like commodities (XAUUSD) or indices (GER30). 💹
Currency Conversion: Automatically converts between your account currency and the asset's currency. It doesn't matter if you trade in EUR, USD, CHF, or JPY. 💱
Interactive Lines: Simply drag and drop the Entry and Stop Loss lines directly on the chart to plan your trade. 🎯
Clear Info Panel: All important information (lot size, required margin, risk in €/$/...) is displayed cleanly and clearly on your chart.
🛠️ How to Use: It's This Easy! 🛠️
The setup is a piece of cake and done in two simple steps.
Step 1: Configure Your Setup
Go to the indicator settings and fill out the "1. Setup" section:
Asset Type: Choose Forex for currency pairs or Other for everything else (e.g., Gold, Oil, Indices).
Account Currency: Enter the currency of your trading account (e.g., USD).
Account Capital: Enter your current account capital.
Risk in % per Trade: How much of your capital do you want to risk per trade? (e.g., 1.0 for 1%).
Leverage: Enter your account's leverage (e.g., 30 for 30:1).
Contract Size for 'Other': IMPORTANT! Only for the Other type. For Gold (XAUUSD), this is often 100; for the DAX (GER30), it's often 1 or 25. Check your broker's specifications for this!
Step 2: Plan Your Trade
Now for the fun part in the "2. Trade Control" section:
Entry Line (Blue Line): Click on the blue line and drag it to your desired entry level. You can also enter the value manually in the settings.
Stop Loss Line (Red Line): Click on the red line and drag it to your stop-loss level.
Step 3: Read the Results
As soon as you've set your Entry and Stop Loss, the Info Panel in the top-right corner will instantly show you the results:
Correct Lot Size: This is the lot size you need to enter with your broker for this trade.
⚠️ Heads up: If it says "Lot Size (Margin Limited!)" in orange, it means your desired risk was too high for your leverage. The indicator has automatically reduced the lot size to the maximum possible to avoid a margin call.
Required Margin: This is how much capital will be blocked on your account as a security deposit (margin) for this trade.
Risk in : The exact amount of money you will lose if your stop loss is triggered.
With this tool, you can make disciplined and mathematically sound trading decisions. Good luck and Happy Trading! 📈💰