Apex Wallet - Lorentzian Classification: Adaptive Signal SuiteOverview The Apex Wallet Lorentzian Classification is a high-performance signal engine that utilizes an adaptive multi-feature approach to identify high-probability entry points. It synthesizes five distinct technical features—RSI, CCI, ADX, MFI, and ROC—to calculate a weighted trend bias.
Dynamic Adaptation The core strength of this indicator is its ability to automatically recalibrate its internal periods based on your selected Trading Mode.
Scalping: Uses ultra-fast periods (e.g., RSI 7, ADX 10) for quick reaction on 1m to 5m charts.
Day-Trading: Balanced settings (e.g., RSI 14, ADX 14) optimized for 15m to 1h timeframes.
Swing-Trading: Smooth, long-term filters (e.g., RSI 21, ADX 20) to capture major market shifts.
Logic & Signal Flow
Feature Extraction: The script calculates five momentum and volatility features using the current close price.
Signal Summation: Each feature contributes to a global signal score based on established technical thresholds.
EMA Smoothing: The raw signal is processed through an EMA filter to eliminate market noise and false breakouts.
Execution: Clear BUY and SELL labels are printed directly on the chart when the smoothed score crosses specific conviction levels.
Key Features:
Zero-Configuration: No need to manually adjust lengths; simply pick your trading style.
Clean Visuals: High-fidelity labels (BUY/SELL) with integrated alert conditions for automation.
Prop-Firm Ready: Ideal for traders needing fast confirmation for high-conviction trades.
Forecasting
LINHFX Bull Bear DivergenceBull Bear Divergence is a momentum-based indicator designed to analyze bullish and bearish strength and identify divergence between price action and market momentum.
It helps traders detect:
Bullish divergence (potential upside reversal)
Bearish divergence (potential downside reversal)
Shifts in buying and selling pressure
This indicator is ideal for Price Action, Smart Money Concept (SMC), intraday and swing trading, and works across multiple timeframes and markets such as Forex, Gold, Crypto, and Indices.
Best used in combination with market structure, key levels, and risk manageme
LinhFX Bull Bear Divergence 2.0 Bull Bear Divergence is a momentum-based indicator designed to analyze bullish and bearish strength and identify divergence between price action and market momentum.
It helps traders detect:
Bullish divergence (potential upside reversal)
Bearish divergence (potential downside reversal)
Shifts in buying and selling pressure
This indicator is ideal for Price Action, Smart Money Concept (SMC), intraday and swing trading, and works across multiple timeframes and markets such as Forex, Gold, Crypto, and Indices.
Best used in combination with market structure, key levels, and risk manageme
Custom Daily POC with Date LabelsThis indicator provides a clear view of today's control levels in relation to the point of control from previous days, revealing where the big whales are navigating and manipulating the market.
It's a simple yet genius tool...
Advanced kNN Target Price and TimeDeliver Target Price, Target Price probability and time to reach.
Machine Learning Based.
Eccodax Robust k-NN Machine Learning LorentzianHere is the complete, final, corrected, and clean code, already including:
✅ Fixed shadowing of the variable d
✅ No compilation warnings
✅ No temporal leaks
✅ Target = real future return
✅ Robust Lorentzian distance
✅ Correct Matrix structure
✅ Consistent feature engineering
✅ Min-Max normalization
✅ Weighted k-NN inference
✅ Correct price reconstruction
1. What this code is
It is a predictive indicator based on classic Machine Learning (k-Nearest Neighbors), fully implemented in PineScript v6, designed to:
Learn historical market patterns
Compare the current state with similar past states
Estimate the expected future price movement
Reconstruct a projected price consistent with the current level
It is not an oscillator, it is not a traditional technical indicator, and it does not react only to the immediate past.
2. What the Model Learns (Supervised Learning)
2.1 Features (Input Variables)
The model uses three dimensions of information, all normalized by Z-score:
Return
Measures the percentage change in price
Captures the immediate momentum of the market
Momentum (ROC)
Measures acceleration or deceleration of the movement
Differentiates trends from consolidations
Volatility
Measures the degree of market uncertainty
Adjusts the weight of strong movements vs. noise
These three variables form a market state vector.
2.2 Normalization (Z-Score)
Each feature is converted to:
Mean ≈ 0
Standard deviation ≈ 1
This ensures that:
No variable dominates the distance
The statistical comparison is valid
The model is stable in different price regimes
2.3 Target (Predicted Variable)
The model does not predict absolute price. It learns:
Observed future return after forecastBars
That is:
Learns movement, not level
Eliminates historical bias
Avoids predictions inconsistent with the current price
3. How the model makes the prediction
3.1 Search for similar patterns (k-NN)
For each current candle, the model:
Analyzes the last lookback candles
Calculates the Euclidean distance between the current state and each past state
Selects the k most similar states
Observes what happened after them
3.2 Inference
The predicted return is calculated as:
Weighted average of the future returns of the neighbors
Weights inversely proportional to the distance
More similar states → greater influence.
4. Price Reconstruction (Key Information)
From the predicted return, the model reconstructs:
Predicted Price = Current Close × (1 + Predicted Return)
Predicted Price = Current Close × (1 + Predicted Return)
This ensures that:
The forecast respects the current market level
The output is visually interpretable
There is no regression to past regimes
5. Relevant Information the Indicator Delivers
5.1 Predicted Price (Green Line)
What it is: Estimated price after forecastBars.
How to use:
Above the current price → bullish bias
Below → bearish bias
Large distance → expectation of strong movement
5.2 Predicted Return (Implicit)
Even though not plotted directly, it is the most important information in the model.
Positive → expectation of appreciation
Negative → expectation of decline
Negative → expectation of decline
Near zero → sideways market
5.3 Directional Classification (optional)
The model also acts as a binary classifier:
High if expected return > 0
Low if expected return < 0
This is used as:
Noise filter
Trend confirmation
False signal reduction
5.4 Implicit statistical context
The indicator carries information that is not visual, but is fundamental:
Market regime (trending vs. sideways)
Statistical similarity with the past
Relative confidence (via distance from neighbors)
6. What this indicator does NOT do
It is important to align expectations:
❌ Does not predict exogenous events
❌ Does not anticipate gaps
❌ Does not work well on illiquid assets
❌ Does not extrapolate long trends
k-NN replicates patterns, does not create scenarios Unprecedented.
7. Where this model works best
Markets with repetitive structure
Medium timeframes (5m – 1D)
Liquid assets
Environments with alternating regimes
8. How to use it in practice (professional recommendation)
Ideal use:
k-NN direction → bias
Technical indicator → timing
Risk management → execution
Never use it in isolation for entry.
9. Executive summary
This code delivers:
A functional supervised ML model in Pine
Prediction consistent with the current price
Statistical market direction
Reduction of historical bias
Solid foundation for quantitative strategies
Eccodax Advanced kNN Lorentziano Matrix1. What this code is
It is a predictive indicator based on classic Machine Learning (k-Nearest Neighbors), fully implemented in PineScript v6, designed to:
Learn historical market patterns
Compare the current state with similar past states
Estimate the expected future price movement
Reconstruct a projected price consistent with the current level
It is not an oscillator, it is not a traditional technical indicator, and it does not react only to the immediate past.
2. What the Model Learns (Supervised Learning)
2.1 Features (Input Variables)
The model uses three dimensions of information, all normalized by Z-score:
Return
Measures the percentage change in price
Captures the immediate momentum of the market
Momentum (ROC)
Measures acceleration or deceleration of the movement
Differentiates trends from consolidations
Volatility
Measures the degree of market uncertainty
Adjusts the weight of strong movements vs. noise
These three variables form a market state vector.
2.2 Normalization (Z-Score)
Each feature is converted to:
Mean ≈ 0
Standard deviation ≈ 1
This ensures that:
No variable dominates the distance
The statistical comparison is valid
The model is stable in different price regimes
2.3 Target (Predicted Variable)
The model does not predict absolute price. It learns:
Observed future return after forecastBars
That is:
Learns movement, not level
Eliminates historical bias
Avoids predictions inconsistent with the current price
3. How the model makes the prediction
3.1 Search for similar patterns (k-NN)
For each current candle, the model:
Analyzes the last lookback candles
Calculates the Euclidean distance between the current state and each past state
Selects the k most similar states
Observes what happened after them
3.2 Inference
The predicted return is calculated as:
Weighted average of the future returns of the neighbors
Weights inversely proportional to the distance
More similar states → greater influence.
4. Price Reconstruction (Key Information)
From the predicted return, the model reconstructs:
Predicted Price = Current Close × (1 + Predicted Return)
Predicted Price = Current Close × (1 + Predicted Return)
This ensures that:
The forecast respects the current market level
The output is visually interpretable
There is no regression to past regimes
5. Relevant Information the Indicator Delivers
5.1 Predicted Price (Green Line)
What it is: Estimated price after forecastBars.
How to use:
Above the current price → bullish bias
Below → bearish bias
Large distance → expectation of strong movement
5.2 Predicted Return (Implicit)
Even though not plotted directly, it is the most important information in the model.
Positive → expectation of appreciation
Negative → expectation of decline
Negative → expectation of decline
Near zero → sideways market
5.3 Directional Classification (optional)
The model also acts as a binary classifier:
High if expected return > 0
Low if expected return < 0
This is used as:
Noise filter
Trend confirmation
False signal reduction
5.4 Implicit statistical context
The indicator carries information that is not visual, but is fundamental:
Market regime (trending vs. sideways)
Statistical similarity with the past
Relative confidence (via distance from neighbors)
6. What this indicator does NOT do
It is important to align expectations:
❌ Does not predict exogenous events
❌ Does not anticipate gaps
❌ Does not work well on illiquid assets
❌ Does not extrapolate long trends
k-NN replicates patterns, does not create scenarios Unprecedented.
7. Where this model works best
Markets with repetitive structure
Medium timeframes (5m – 1D)
Liquid assets
Environments with alternating regimes
8. How to use it in practice (professional recommendation)
Ideal use:
k-NN direction → bias
Technical indicator → timing
Risk management → execution
Never use it in isolation for entry.
9. Executive summary
This code delivers:
A functional supervised ML model in Pine
Prediction consistent with the current price
Statistical market direction
Reduction of historical bias
Solid foundation for quantitative strategies
Relevant information provided by this code
1. Forecasted price (line)
Statistical projection consistent with the current level
Based on similar historical patterns
2. Implicit direction
Return > 0 → bullish bias
Return < 0 → bearish bias
3. Structural robustness
Lower sensitivity to outliers
Lower scale bias
Better adaptation to different regimes
This refactored version introduces significant improvements based on modern quantitative Machine Learning practices (similar to those found in jdehorty's "Lorentzian Classification" indicator):
Lorentzian Distance: Replaces the Euclidean distance (which is affected by noise and outliers) with Lorentzian Distance, which is much more robust for financial markets.
Matrix Structure: Uses the matrix object in Pine V6 to manage training data more efficiently and cleanly than loose arrays.
Feature Engineering (WaveTrend & RSI): Replaces simple Momentum with normalized indicators (RSI, WaveTrend, CCI, ADX), better capturing market dynamics.
Min-Max Normalization: Features are normalized on a 0-100 scale so that indicators with different magnitudes do not distort the distance calculation.
Inverse Distance Weighting: Instead of a simple average, the nearest neighbors (most similar) have greater weight in the prediction.
VSA 2.0ENG
VSA 2.0 is a next-generation Volume Spread Analysis based on tick volume and price behavior, stripped of classical rules and indicators.
It focuses on context, effort vs result, and institutional intent, filtering retail noise to read what smart money is doing, not what textbooks say.
Follow me on YOUTUBE and Telegram!
BehindTheScalper
ETH&BTCThis script is a streamlined trend-following strategy designed specifically for major crypto pairs like ETH and BTC.
It eliminates the noise by using a hardcoded, "black box" logic that combines Price Action with Trend Momentum. Instead of relying on lagging indicators alone, it analyzes market structure, volume flows, and directional strength to identify high-probability entry points.
Minimalist Integrated Trading[WuYaa]图表出现信号后看大时间框架趋势是否一致
例：15分钟出现信号，看1小时或4小时趋势是否与15分钟框架一致
After a signal appears on the chart, check whether the trend on a larger timeframe is consistent.
For example: if a signal appears on the 15-minute chart, check whether the trend on the 1-hour or 4-hour chart is consistent with the 15-minute timeframe.
SPY / DIA Divergence Z-Score (30s Optimized)SPY / DIA Divergence Z-Score (30s Optimized) is a short-term relative strength indicator designed for opening-range mean reversion trading.
This script measures normalized return divergence between SPY and DIA, converts it into a Z-score, and highlights statistically extreme conditions where short-term reversion is more likely to occur.
Key characteristics:
Optimized specifically for the 30-second timeframe
Uses EMA-smoothed returns to reduce microstructure noise
Focuses on divergence and reversion, not trend-following
Includes a session filter targeting the early NYSE open
Designed as a decision-support tool, not an automated strategy
Intended use:
Best used between 9:32–9:45 ET
Works best when combined with VWAP and price action
Signals indicate potential exhaustion and reversion zones, not guaranteed entries
Important notes:
No trade entries or exits are provided
No repainting
Not financial advice
Meant for discretionary traders who understand execution risk on lower timeframes
This indicator is most effective when used with disciplined risk management and strict time-of-day constraints.
How to Use:
Apply the indicator to a 30-second chart (designed for 30s only)
Trade only during the early NYSE session (approx. 9:32–9:45 ET)
Watch for Z-Score extremes beyond the upper or lower thresholds
Look for stalling behavior (loss of momentum) at extreme readings
Use in confluence with VWAP and price action for confirmation
Signals highlight potential mean-reversion zones, not automatic entries
Use tight risk management and avoid overtrading
Disclaimer:
This script is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or trade signals. Past performance is not indicative of future results. Use at your own risk.
Gold Premium Histogram
Compares Altins1 to gram gold in turkish lira to see the deviation and suggesting when to arbitrage
Altcoins Buy&Sell 1h tw: stoova0This strategy is designed for Altcoins on the 1H timeframe. It includes hardcoded filters based on specific user requirements. To set an alert, simply open the chart, select the indicator, and choose 'Any alert() function call' from the options.
BTC Buy&Sell 1h tw: stoova0Twitter: stoova0
This works exclusively on the BTC 1h chart. It is recommended to use the OKX exchange chart (specifically BtcUsdt.p) for analysis and trading. To set an alert, simply open the chart, select the indicator, and choose 'Any alert() function call' from the options.
reddddicatorStrategy: Sell 0dte TVC:SPX credit spreads beyond the upper and lower levels.
Time frame: 15min
Session-Anchored Volatility Expansion Bands
reddddicator is a session-aware volatility expansion framework designed to model next-session price dispersion using a multi-day realized range aggregation with custom normalization.
The indicator does not rely on ATR, ADR, standard deviation bands, or moving-average–based volatility estimators. Instead, it derives projected price boundaries from completed daily range realizations , selectively anchored to the most recent fully confirmed daily close based on session state.
Conceptual Methodology (High-Level)
The model samples a fixed window of completed daily high-low ranges.
These ranges are aggregated and normalized using a non-standard divisor , intentionally reducing sensitivity to single-day volatility spikes.
The resulting expansion value is anchored to the last confirmed daily settlement , dynamically determined based on whether the current trading session is open or closed.
Symmetric forward-projected upper and lower volatility bands are plotted and extended into the next session.
This approach is designed to reflect realized volatility expansion tendencies , rather than implied volatility or trend continuation.
Analytical Purpose
The projected bands function as statistical excursion boundaries, intended to identify areas where price extension risk asymmetrically increases.
The indicator is particularly suited for:
Short-duration options frameworks (e.g., TVC:SPX 0DTE credit spreads)
Mean-reversion and volatility exhaustion studies
Contextual risk placement rather than directional forecasting
reddddicator does not generate trade signals and should be used as a volatility reference layer, in conjunction with the user’s own execution logic and risk controls.
Timeframe & Instrument Scope
Calculations are derived from daily market data
Display is optimized for intraday charting
Most effective on liquid index products (e.g., SP:SPX SPX), but adaptable to other instruments
This script does not reproduce ATR, ADR, Bollinger Bands, or any publicly available volatility indicator. While it uses daily range data as an input, the aggregation, normalization, and session-aware anchoring logic are custom implementations developed by the author and are not derived from open-source TradingView scripts or educational materials.
Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, trade recommendations, or investment guidance. Past behavior of volatility or price expansion does not guarantee future outcomes. Users are solely responsible for their trading decisions, position sizing, and risk management.
BTC RiskThe BTC Risk Metric is a normalized market-cycle indicator designed to quantify how risky Bitcoin is to buy or hold at any point in time relative to its own historical behaviour.
It measures how far price has deviated from its long-term trend by calculating the logarithmic distance between Bitcoin’s price and a long-duration moving average (a 377-day simple moving average), then scales that distance by time to account for Bitcoin’s exponential growth.
This raw value is tracked against its historical extremes and normalized into a 0–1 range, where values near zero correspond to deep, low-risk accumulation zones typically seen around major cycle bottoms, and values near one correspond to high-risk conditions historically associated with late-cycle tops. Rather than predicting price, the metric provides a relative, regime-aware framework for assessing risk across cycles, allowing different market phases to be compared on a consistent scale.
Monte Carlo Option Forecast [Lite]Turn your chart into a Quantitative Trading Terminal.
Forget linear predictions. The market is driven by probability. Montecarlo Option Forecast leverages 2,000+ Monte Carlo simulations to model future price paths, assess volatility, and calculate the "fair" mathematical value of options directly on your chart.
This tool doesn't just tell you where the price might go—it visualizes the probability distribution (The Fan) and the most likely deterministic path (The Neon Line) to help you find a mathematical edge.
🔥 Key Features
1. 🧠 Smart Simulation Engine
3 Calculation Modes:
Historical (Raw): For trending assets (uses past returns).
Stationary (Flat): For ranging markets (random walk).
Ensemble: A balanced 50/50 mix.
Neon Line: A dynamic forecast line that visualizes the projected path based on your settings.
2. 🧲 Magnet Mechanics (Mean Reversion)
Markets tend to return to the mean. Adjust the Magnet Strength to simulate trends decaying or prices pulling back to fair value over time.
3. 📊 Option Desk (ATM Edition)
An embedded terminal that calculates theoretical option values (Call/Put) based on your simulations.
MC vs. Black-Scholes: Compares your custom Monte Carlo valuation against standard models to find edge.
Kelly Criterion: Suggests position sizing based on probability.
Smart Markers: ⌖ (Spot Price) and ★ (Forecast Target).
Note: This Lite edition is optimized for At-The-Money (ATM) analysis. Deep OTM strikes and wide steps are available in the PRO version.
4. 🏆 The Judge (Backtester)
The script constantly "judges" itself by running backtests on past data. It displays honest accuracy stats (Win Rate, Error %, Drift) to help you calibrate the model.
BTC Trend Forecast (Trend-Follow + Reversal)This indicator should only be used on Bitcoin. Be careful if you use it for other coins. I suggest looking at the 1-hour candlestick chart.
Top / Bottom Indicator v69Built in TA uses multiple signals to predict tops and bottoms based on a high confidence score. Longer runs followed by retracements that signify a reversal are also indicated. Buy and sell signals are displayed and best to use "on candle close" to confirmation. Designed for day trading on auto trading with automatic alerts at 2:50 CST to close out all open positions.
SOL HTF Fib levelsJust marked the HTF fib levels on SOL, best asset to trade, don't use it for other assets
Multi-Timeframe Stochastic RSI (Daily + Weekly)View the Daily and Weekly Stochastic RSI together on any timeframe to see how they oscillate
Penny Stock Short Signal Pro# Penny Stock Short Signal Pro (PSSP) v1.0
## Complete User Guide & Documentation
---
# 📋 TABLE OF CONTENTS
1. (#introduction)
2. (#why-short-penny-stocks)
3. (#the-7-core-detection-systems)
4. (#installation--setup)
5. (#understanding-the-dashboard)
6. (#input-settings-deep-dive)
7. (#visual-elements-explained)
8. (#alert-configuration)
9. (#trading-strategies)
10. (#risk-management)
11. (#best-practices)
12. (#troubleshooting)
13. (#changelog)
---
# Introduction
**Penny Stock Short Signal Pro (PSSP)** is a comprehensive Pine Script v6 indicator specifically engineered for identifying high-probability short-selling opportunities on low-priced, high-volatility stocks. Unlike generic indicators that apply broad technical analysis, PSSP is purpose-built for the unique characteristics of penny stock price action—where parabolic moves, retail FOMO, and violent reversals create predictable patterns for prepared traders.
## Key Features
- **7 Independent Detection Systems** working in concert to identify exhaustion points
- **Composite Signal Engine** that requires multiple confirmations before triggering
- **Real-Time Dashboard** displaying all signal states and market metrics
- **Automatic Risk Management** with dynamic stop-loss and profit target calculations
- **Customizable Sensitivity** for different trading styles (scalping vs. swing)
- **Built-in Alert System** for all major signal types
## Who Is This For?
- **Active Day Traders** looking to capitalize on intraday reversals
- **Short Sellers** who specialize in penny stocks and small caps
- **Momentum Traders** who want to identify when momentum is exhausting
- **Risk-Conscious Traders** who need clear entry/exit levels
---
# Why Short Penny Stocks?
## The Penny Stock Lifecycle
Penny stocks follow a remarkably predictable lifecycle that creates shorting opportunities:
```
PHASE 1: ACCUMULATION
└── Low volume, tight range
└── Smart money quietly building positions
PHASE 2: MARKUP / PROMOTION
└── News catalyst or promotional campaign
└── Volume increases, price begins rising
└── Early momentum traders enter
PHASE 3: DISTRIBUTION (YOUR OPPORTUNITY)
└── Parabolic move attracts retail FOMO buyers
└── Smart money selling into strength
└── Volume climax signals exhaustion
└── ⚠️ PSSP SIGNALS FIRE HERE ⚠️
PHASE 4: DECLINE
└── Support breaks, panic selling
└── Price returns toward origin
└── Short sellers profit
```
## Why Shorts Work on Penny Stocks
1. **No Fundamental Support**: Most penny stocks have no earnings, revenue, or assets to justify elevated prices
2. **Promotional Nature**: Many rallies are driven by promoters who will eventually stop
3. **Retail Exhaustion**: Retail buying power is finite—when it's exhausted, gravity takes over
4. **Float Dynamics**: Low float stocks move fast in both directions
5. **Technical Levels Matter**: VWAP, round numbers, and prior highs become self-fulfilling resistance
---
# The 7 Core Detection Systems
PSSP employs seven independent detection algorithms. Each identifies a specific type of exhaustion or reversal signal. When multiple systems fire simultaneously, the probability of a successful short dramatically increases.
---
## 1. PARABOLIC EXHAUSTION DETECTOR
### What It Detects
Identifies when price has moved too far, too fast and is likely to reverse. This system looks for the classic "blow-off top" pattern common in penny stock runners.
### Technical Logic
```
Parabolic Signal = TRUE when:
├── Consecutive green candles ≥ threshold (default: 3)
├── AND price extension from VWAP ≥ threshold ATRs (default: 1.5)
└── OR shooting star / upper wick rejection pattern forms
```
### Visual Representation
```
╱╲ ← Shooting star / upper wick
╱ ╲ (Parabolic exhaustion)
╱
╱
╱
══════════════ VWAP
╱
╱
```
### Why It Works on Penny Stocks
Penny stocks are notorious for parabolic moves driven by retail FOMO. When everyone who wants to buy has bought, there's no one left to push prices higher. The shooting star pattern shows that sellers are already stepping in at higher prices.
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Lookback Period | 10 | 3-30 | Bars to analyze for pattern |
| Extension Threshold | 1.5 ATR | 0.5-5.0 | How far above VWAP is "parabolic" |
| Consecutive Green Bars | 3 | 2-10 | Minimum green bars for exhaustion |
---
## 2. VWAP REJECTION SYSTEM
### What It Detects
Volume Weighted Average Price (VWAP) is the single most important level for institutional traders. This system identifies when price tests above VWAP and gets rejected back below—a powerful short signal.
### Technical Logic
```
VWAP Rejection = TRUE when:
├── Candle high pierces above VWAP
├── AND candle closes below VWAP
├── AND candle is bearish (close < open)
└── AND rejection distance is within sensitivity threshold
```
### Visual Representation
```
High ──→ ╱╲
╱ ╲
VWAP ════════╱════╲═══════════
Close ←── Rejection
```
### Extended VWAP Signals
The system also tracks VWAP standard deviation bands. Rejection from the upper band (2 standard deviations above VWAP) is an even stronger signal.
### Why It Works on Penny Stocks
- Algorithms and institutions use VWAP as their benchmark
- Failed attempts to reclaim VWAP often lead to waterfall selling
- VWAP acts as a "magnet" that price tends to revert toward
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Rejection Sensitivity | 0.5 ATR | 0.1-2.0 | How close to VWAP for valid rejection |
| Show VWAP Line | True | - | Display VWAP on chart |
| Show VWAP Bands | True | - | Display standard deviation bands |
| Band Multiplier | 2.0 | 0.5-4.0 | Standard deviations for bands |
---
## 3. VOLUME CLIMAX DETECTOR
### What It Detects
Identifies "blow-off tops" where extreme volume accompanies a price spike. This often marks the exact top as it represents maximum retail participation—after which buying power is exhausted.
### Technical Logic
```
Volume Climax = TRUE when:
├── Current volume ≥ (Average volume × Climax Multiple)
├── AND one of:
│ ├── Selling into the high (upper wick > lower wick on green bar)
│ └── OR post-climax weakness (red bar following climax bar)
```
### Visual Representation
```
Price: ╱╲
╱ ╲
╱ ╲
╱ ╲
╱
Volume:
▂▃▅▇██▇▅▃▂▁
↑
Volume Climax (3x+ average)
```
### Why It Works on Penny Stocks
- Retail traders pile in at the top, creating volume spikes
- Market makers and smart money use this liquidity to exit
- Once the volume spike passes, there's no fuel left for higher prices
- The "smart money selling into dumb money buying" creates the top
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Volume MA Length | 20 | 5-50 | Period for average volume calculation |
| Climax Volume Multiple | 3.0x | 1.5-10.0 | Multiple of average for "climax" |
| Show Volume Bars | True | - | Visual volume representation |
---
## 4. RSI DIVERGENCE ANALYZER
### What It Detects
Bearish divergence occurs when price makes higher highs but RSI (momentum) makes lower highs. This indicates that momentum is weakening even as price pushes higher—a warning of imminent reversal.
### Technical Logic
```
Bearish Divergence = TRUE when:
├── RSI is in overbought territory (> threshold)
├── AND RSI is declining (current < previous < prior)
└── Indicates momentum exhaustion before price catches up
```
### Visual Representation
```
Price: /\ /\
/ \ / \ ← Higher high
/ \/
/
/
RSI: /\
/ \ /\
/ \/ \ ← Lower high (DIVERGENCE)
/ \
════════════════════ Overbought (70)
```
### Why It Works on Penny Stocks
- Penny stocks often push to new highs on weaker and weaker momentum
- Divergence signals that fewer buyers are participating at each new high
- Eventually, the lack of buying pressure leads to collapse
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| RSI Length | 14 | 5-30 | Standard RSI calculation period |
| Overbought Level | 70 | 60-90 | RSI level considered overbought |
| Divergence Lookback | 14 | 5-30 | Bars to look back for swing highs |
---
## 5. KEY LEVEL REJECTION TRACKER
### What It Detects
Identifies rejections from significant price levels where shorts are likely to be concentrated: High of Day (HOD), premarket highs, and psychological levels (whole and half dollars).
### Technical Logic
```
Level Rejection = TRUE when:
├── Price touches key level (within 0.2% tolerance)
├── AND candle is bearish (close < open)
├── AND close is in lower portion of candle range
│
├── Key Levels Tracked:
│ ├── High of Day (HOD)
│ ├── Premarket High
│ └── Psychological levels ($1.00, $1.50, $2.00, etc.)
```
### Visual Representation
```
HOD ─────────────────────────────────
╱╲ ← Rejection
╱ ╲
╱ ╲
╱
─────────────────────────────────
PM High ─────────────────────────────
```
### Why It Works on Penny Stocks
- **HOD**: The high of day is where the most traders are trapped long. Failure to break HOD often triggers stop-loss cascades
- **Premarket High**: Represents overnight enthusiasm; failure to exceed often means the "news" is priced in
- **Psychological Levels**: Round numbers ($1, $2, $5) attract orders and act as natural resistance
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Track HOD Rejection | True | - | Monitor high of day |
| Track Premarket High | True | - | Monitor premarket resistance |
| Track Psychological Levels | True | - | Monitor round numbers |
---
## 6. FAILED BREAKOUT DETECTOR
### What It Detects
Identifies "bull traps" where price breaks above resistance but immediately fails and closes back below. This traps breakout buyers and often leads to accelerated selling.
### Technical Logic
```
Failed Breakout = TRUE when:
├── Price breaks above recent high (lookback period)
├── AND one of:
│ ├── Same bar closes below the breakout level
│ └── OR following bars show consecutive red candles
```
### Visual Representation
```
╱╲
╱ ╲ ← False breakout
Recent High ══╱════╲════════════════
╱ ╲
╱ ╲
╱ ╲ ← Trapped longs panic sell
```
### Why It Works on Penny Stocks
- Breakout traders enter on the break, providing exit liquidity for smart money
- When the breakout fails, these traders become trapped and must exit
- Their forced selling accelerates the decline
- Penny stocks have thin order books, making failed breakouts especially violent
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Breakout Lookback | 5 | 2-15 | Bars to define "recent high" |
| Confirmation Bars | 2 | 1-5 | Bars to confirm failure |
---
## 7. MOVING AVERAGE BREAKDOWN SYSTEM
### What It Detects
Monitors exponential moving averages (EMAs) for bearish crossovers and price rejections. EMA crosses often signal trend changes, while rejections from EMAs indicate resistance.
### Technical Logic
```
MA Breakdown = TRUE when:
├── Bearish EMA cross (fast crosses below slow)
└── OR EMA rejection (price tests EMA from below and fails)
```
### Visual Representation
```
╱╲ ← Rejection from EMA
╱ ╲
EMA 9 ═══════════╱════╲═══════════
╲
EMA 20 ═══════════════════╲════════
╲
Bearish cross ↓
```
### Why It Works on Penny Stocks
- EMAs smooth out the noise and show underlying trend direction
- When fast EMA crosses below slow EMA, it signals momentum shift
- Rejected attempts to reclaim EMAs show sellers are in control
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Fast EMA | 9 | 3-20 | Short-term trend |
| Slow EMA | 20 | 10-50 | Medium-term trend |
| Show EMAs | True | - | Display on chart |
---
# Installation & Setup
## Step 1: Access Pine Editor
1. Open TradingView (tradingview.com)
2. Open any chart
3. Click "Pine Editor" at the bottom of the screen
## Step 2: Create New Indicator
1. Click "Open" → "New blank indicator"
2. Delete any existing code
3. Paste the entire PSSP code
## Step 3: Save and Add to Chart
1. Click "Save" (give it a name like "PSSP")
2. Click "Add to chart"
3. The indicator will appear with default settings
## Step 4: Configure Settings
1. Click the gear icon (⚙️) on the indicator
2. Adjust settings based on your trading style (see Settings section)
3. Click "OK" to apply
## Recommended Chart Setup
- **Timeframe**: 1-minute or 5-minute for scalping, 15-minute for swing shorts
- **Chart Type**: Candlestick
- **Extended Hours**: Enable if trading premarket/afterhours
- **Volume**: Can disable default volume since PSSP tracks it
---
# Understanding the Dashboard
The real-time dashboard provides at-a-glance status of all systems:
```
┌─────────────────────────────────────────┐
│ 📊 SHORT SIGNAL DASHBOARD │
├─────────────────────────────────────────┤
│ Signal Strength: 5/7 │
├─────────────────────────────────────────┤
│ ─── ACTIVE SIGNALS ─── │
│ │
│ Parabolic Exhaustion 🔴 2.1 ATR │
│ VWAP Rejection 🔴 Above │
│ Volume Climax 🔴 4.2x Avg │
│ RSI Divergence ⚪ RSI: 68 │
│ Level Rejection 🔴 @ HOD │
│ Failed Breakout 🔴 │
│ MA Breakdown ⚪ Bullish │
├─────────────────────────────────────────┤
│ ─── RISK LEVELS ─── │
│ Stop: $2.45 T1: $2.10 T2: $1.85 │
└─────────────────────────────────────────┘
```
## Dashboard Elements Explained
### Signal Strength Indicator
| Rating | Signals | Color | Interpretation |
|--------|---------|-------|----------------|
| STRONG | 5-7 | Red | High-confidence short opportunity |
| MODERATE | 3-4 | Orange | Decent setup, consider other factors |
| WEAK | 1-2 | Gray | Insufficient confirmation |
| NONE | 0 | Gray | No short signals active |
### Signal Status Icons
- 🔴 = Signal is ACTIVE (condition met)
- ⚪ = Signal is INACTIVE (condition not met)
### Contextual Metrics
Each signal row includes relevant metrics:
- **Parabolic**: Shows ATR extension from VWAP
- **VWAP**: Shows if price is Above/Below VWAP
- **Volume**: Shows current volume as multiple of average
- **RSI**: Shows current RSI value
- **Level**: Shows which level was touched (HOD, PM High, etc.)
- **MA**: Shows EMA relationship (Bullish/Bearish)
### Risk Levels
When a composite short signal fires:
- **Stop**: Suggested stop-loss level (high + ATR multiple)
- **T1**: First profit target (1:1 risk/reward)
- **T2**: Second profit target (user-defined R:R)
---
# Input Settings Deep Dive
## Group 1: Parabolic Exhaustion
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Lookback Period | 10 | 15 | 5 | Bars analyzed for pattern |
| Extension Threshold | 1.5 | 2.0 | 1.0 | ATRs above VWAP for "parabolic" |
| Consecutive Green Bars | 3 | 4 | 2 | Minimum green bars required |
**Tuning Tips:**
- Lower thresholds = more signals but more false positives
- Higher thresholds = fewer signals but higher quality
- For very volatile penny stocks, consider higher thresholds
## Group 2: VWAP Rejection
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Rejection Sensitivity | 0.5 | 0.3 | 0.8 | ATR distance for valid rejection |
| Show VWAP Line | True | True | True | Display VWAP |
| Show VWAP Bands | True | True | True | Display deviation bands |
| Band Multiplier | 2.0 | 2.5 | 1.5 | Standard deviations for bands |
**Tuning Tips:**
- Tighter sensitivity (lower number) = must reject very close to VWAP
- Wider bands = less frequent upper band rejections but more significant
## Group 3: Volume Climax
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Volume MA Length | 20 | 30 | 10 | Baseline volume period |
| Climax Volume Multiple | 3.0 | 4.0 | 2.0 | Multiple for "climax" status |
| Show Volume Profile | True | True | True | Visual volume bars |
**Tuning Tips:**
- Higher multiple = only extreme volume spikes trigger
- Shorter MA = more responsive to recent volume changes
- For highly liquid stocks, consider higher multiples
## Group 4: Momentum Divergence
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| RSI Length | 14 | 21 | 7 | RSI calculation period |
| Overbought Level | 70 | 75 | 65 | Threshold for "overbought" |
| Divergence Lookback | 14 | 20 | 10 | Bars for swing high detection |
**Tuning Tips:**
- Lower overbought threshold = more frequent signals
- Shorter RSI length = more responsive but noisier
## Group 5: Key Level Rejection
| Setting | Default | Description |
|---------|---------|-------------|
| Enable | True | Master toggle for level system |
| Track Premarket High | True | Monitor premarket resistance |
| Track HOD Rejection | True | Monitor high of day |
| Track Psychological Levels | True | Monitor round numbers |
**Tuning Tips:**
- Disable premarket tracking if stock doesn't have significant premarket activity
- Psychological levels work best on stocks under $10
## Group 6: Failed Follow-Through
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Breakout Lookback | 5 | 8 | 3 | Bars defining "recent high" |
| Confirmation Bars | 2 | 3 | 1 | Bars to confirm failure |
**Tuning Tips:**
- Shorter lookback = more breakouts detected but smaller significance
- More confirmation bars = higher confidence but later entry
## Group 7: Moving Average Signals
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Fast EMA | 9 | 12 | 5 | Short-term trend |
| Slow EMA | 20 | 26 | 13 | Medium-term trend |
| Show EMAs | True | True | True | Display on chart |
**Tuning Tips:**
- Standard 9/20 works well for most penny stocks
- Faster EMAs (5/13) for scalping, slower (12/26) for swing trading
## Group 8: Composite Signal
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Minimum Signals | 3 | 4-5 | 2 | Signals needed for trigger |
| Show Dashboard | True | True | True | Display signal table |
| Dashboard Position | top_right | - | - | Screen location |
**Tuning Tips:**
- **Minimum Signals is the most important setting**
- Higher minimum = fewer trades but higher win rate
- Lower minimum = more trades but more false signals
## Group 9: Risk Management
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Show Stop Levels | True | True | True | Display stop loss |
| Stop ATR Multiple | 1.5 | 2.0 | 1.0 | Stop distance in ATRs |
| Show Targets | True | True | True | Display profit targets |
| Target R:R | 2.0 | 1.5 | 3.0 | Risk:Reward for Target 2 |
**Tuning Tips:**
- Tighter stops (lower ATR multiple) = less risk but more stop-outs
- Higher R:R targets = bigger winners but fewer targets hit
## Group 10: Visual Settings
| Setting | Default | Description |
|---------|---------|-------------|
| Bullish Color | Green | Color for bullish elements |
| Bearish Color | Red | Color for bearish/short signals |
| Warning Color | Orange | Color for caution signals |
| Neutral Color | Gray | Color for inactive elements |
---
# Visual Elements Explained
## Chart Overlays
### VWAP Line (Blue)
- **Solid blue line** = Volume Weighted Average Price
- Price above VWAP = bullish bias
- Price below VWAP = bearish bias
- **Use**: Short when price rejects from above VWAP
### VWAP Bands (Purple circles)
- Upper band = 2 standard deviations above VWAP
- Lower band = 2 standard deviations below VWAP
- **Use**: Extreme extension to upper band signals potential reversal
### EMAs (Orange and Red)
- **Orange line** = Fast EMA (9-period default)
- **Red line** = Slow EMA (20-period default)
- **Use**: Bearish cross or price rejection from EMAs confirms short
### HOD Line (Red, dashed)
- Shows the current day's high
- **Use**: Rejection from HOD is a key short signal
### Premarket High (Orange, dashed)
- Shows premarket session high
- **Use**: Failure to break PM high often signals weakness
## Signal Markers
### Individual Signal Markers (Small)
| Shape | Color | Signal |
|-------|-------|--------|
| ▼ Triangle | Purple | Parabolic Exhaustion |
| ✕ X-Cross | Blue | VWAP Rejection |
| ◆ Diamond | Yellow | Volume Climax |
| ● Circle | Orange | RSI Divergence |
| ■ Square | Red | Failed Breakout |
### Composite Short Signal (Large)
- **Large red triangle** with "SHORT" text
- Only appears when minimum signal threshold is met
- This is your primary trading signal
## Risk Level Lines
### Stop Loss (Red line)
- Calculated as: Entry + (ATR × Stop Multiple)
- Represents maximum acceptable loss
- **RESPECT THIS LEVEL**
### Target 1 (Light green line)
- First profit target at 1:1 risk/reward
- Consider taking partial profits here
### Target 2 (Dark green line)
- Second profit target at user-defined R:R
- Let winners run to this level
## Background Coloring
### Light Red Background
- Appears when composite short signal is active
- Indicates you should be looking for shorts, not longs
### Light Purple Background
- Appears during extreme parabolic extension
- Warning of potential imminent reversal
---
# Alert Configuration
## Available Alerts
### 1. Composite Short Signal
**Best for**: Primary trading signal
```
Condition: Composite short signal fires
Message: "PSSP: Short Signal Triggered - {ticker} at {close}"
```
### 2. Parabolic Exhaustion
**Best for**: Early warning of potential top
```
Condition: Parabolic exhaustion detected
Message: "PSSP: Parabolic exhaustion detected on {ticker}"
```
### 3. Volume Climax
**Best for**: Blow-off top identification
```
Condition: Volume climax occurs
Message: "PSSP: Volume climax / blow-off top on {ticker}"
```
### 4. Strong Short Setup (5+ Signals)
**Best for**: High-confidence opportunities only
```
Condition: 5 or more signals active
Message: "PSSP: STRONG short setup on {ticker}"
```
### 5. Very Strong Short Setup (6+ Signals)
**Best for**: Maximum confidence trades
```
Condition: 6 or more signals active
Message: "PSSP: VERY STRONG short setup on {ticker}"
```
### 6. Failed Breakout
**Best for**: Bull trap identification
```
Condition: Failed breakout detected
Message: "PSSP: Failed breakout detected on {ticker}"
```
### 7. Key Level Rejection
**Best for**: Resistance level plays
```
Condition: Key level rejection occurs
Message: "PSSP: Key level rejection on {ticker}"
```
## Setting Up Alerts in TradingView
1. Right-click on the chart
2. Select "Add Alert"
3. Set Condition to "Penny Stock Short Signal Pro"
4. Choose your desired alert condition
5. Configure notification method (popup, email, webhook, etc.)
6. Set expiration (or "Open-ended" for permanent)
7. Click "Create"
## Alert Strategy Recommendations
### For Active Day Traders
- Enable: Composite Short Signal, Volume Climax
- Set to: Popup + Sound
- Check frequently during market hours
### For Swing Traders
- Enable: Strong Short Setup (5+), Very Strong Short Setup (6+)
- Set to: Email + Mobile Push
- Review at key times (open, lunch, close)
### For Part-Time Traders
- Enable: Very Strong Short Setup (6+) only
- Set to: Email + SMS
- Only trade highest-conviction setups
---
# Trading Strategies
## Strategy 1: The Parabolic Fade
**Setup Requirements:**
- Parabolic Exhaustion signal ACTIVE
- Extension from VWAP ≥ 2.0 ATR
- Volume climax or declining volume on push
**Entry:**
- Short on first red candle after signal
- Or short on break below prior candle's low
**Stop Loss:**
- Above the high of the parabolic move
- Maximum: 1.5 ATR above entry
**Targets:**
- T1: VWAP (take 50% off)
- T2: Lower VWAP band or LOD
**Best Time:** 9:30-10:30 AM (morning runners)
---
## Strategy 2: VWAP Rejection Short
**Setup Requirements:**
- VWAP Rejection signal ACTIVE
- Price came from below VWAP
- Rejection candle has significant upper wick
**Entry:**
- Short on close below VWAP
- Or short on break below rejection candle low
**Stop Loss:**
- Above VWAP + 0.5 ATR
- Or above rejection candle high
**Targets:**
- T1: Lower VWAP band
- T2: Prior support or LOD
**Best Time:** Midday (11:00 AM - 2:00 PM)
---
## Strategy 3: HOD Failure Short
**Setup Requirements:**
- Level Rejection signal ACTIVE (HOD)
- Multiple tests of HOD without breakthrough
- Volume declining on each test
**Entry:**
- Short on confirmed HOD rejection
- Wait for close below the rejection candle
**Stop Loss:**
- Above HOD + 0.25 ATR (tight)
- Clear invalidation if HOD breaks
**Targets:**
- T1: VWAP
- T2: Morning support levels
**Best Time:** 10:30 AM - 12:00 PM
---
## Strategy 4: Volume Climax Fade
**Setup Requirements:**
- Volume Climax signal ACTIVE
- Volume ≥ 3x average on green candle
- Followed by bearish candle or upper wick
**Entry:**
- Short on first red candle after climax
- Or short on break below climax candle low
**Stop Loss:**
- Above climax candle high
- Give room for volatility spike
**Targets:**
- T1: 50% retracement of the run
- T2: VWAP or start of the run
**Best Time:** First hour of trading
---
## Strategy 5: The Full Composite (High Conviction)
**Setup Requirements:**
- Composite Short signal ACTIVE
- Minimum 4-5 individual signals
- Clear visual of signal markers clustering
**Entry:**
- Short immediately on composite signal
- Use market order for fast-moving stocks
**Stop Loss:**
- Use indicator's automatic stop level
- Do not deviate from system
**Targets:**
- T1: Indicator's T1 level (1:1)
- T2: Indicator's T2 level (2:1)
**Best Time:** Any time with sufficient signals
---
# Risk Management
## Position Sizing Formula
```
Position Size = (Account Risk %) / (Stop Loss %)
Example:
- Account: $25,000
- Risk per trade: 1% = $250
- Entry: $2.00
- Stop: $2.20 (10% stop)
- Position Size: $250 / 10% = $2,500 worth
- Shares: $2,500 / $2.00 = 1,250 shares
```
## Risk Rules
### The 1% Rule
Never risk more than 1% of your account on any single trade. For a $25,000 account, max risk = $250.
### The 2x Stop Rule
If your stop gets hit twice on the same stock, stop trading it for the day. The pattern isn't working.
### The Daily Loss Limit
Set a maximum daily loss (e.g., 3% of account). Stop trading if hit.
### The Size-Down Rule
After a losing trade, reduce your next position size by 50%. Rebuild after a winner.
## Short-Specific Risks
### The Short Squeeze
- Penny stocks can squeeze violently
- ALWAYS use stops
- Never "hope" a position comes back
- Size appropriately for volatility
### The Hard-to-Borrow
- Check borrow availability before trading
- High borrow fees eat into profits
- Some stocks become HTB mid-trade
### The Halt Risk
- Penny stocks can halt on volatility
- Position size for worst-case halt against you
- Halts can open significantly higher
---
# Best Practices
## DO's
✅ **Wait for multiple signals** - Single signals have lower accuracy
✅ **Trade with the trend** - Short when daily trend is down
✅ **Use the dashboard** - Check signal count before entering
✅ **Respect stops** - The indicator calculates them for a reason
✅ **Size appropriately** - Penny stocks are volatile; position small
✅ **Trade liquid stocks** - Volume ≥ 500K daily average
✅ **Know the catalyst** - Understand why the stock is moving
✅ **Take partial profits** - Secure gains at T1
✅ **Journal your trades** - Track what works and what doesn't
✅ **Time your entries** - Best shorts often come 10:30-11:30 AM
## DON'Ts
❌ **Don't short strong stocks** - If it won't go down, don't force it
❌ **Don't fight the tape** - A stock going up can keep going up
❌ **Don't average up on losers** - Adding to losing shorts is dangerous
❌ **Don't ignore the dashboard** - It exists to help you
❌ **Don't overtrade** - Quality over quantity
❌ **Don't short into news** - Wait for the reaction first
❌ **Don't trade the first 5 minutes** - Too chaotic for reliable signals
❌ **Don't hold overnight** - Penny stock gaps can destroy accounts
❌ **Don't trade without stops** - Ever.
❌ **Don't trade on tilt** - After losses, take a break
## Optimal Trading Windows
| Time (ET) | Quality | Notes |
|-----------|---------|-------|
| 9:30-9:35 | ⭐ | Too volatile, avoid |
| 9:35-10:30 | ⭐⭐⭐⭐⭐ | Best shorts, morning runners exhaust |
| 10:30-11:30 | ⭐⭐⭐⭐ | Secondary exhaustion, HOD rejections |
| 11:30-2:00 | ⭐⭐ | Midday lull, lower quality |
| 2:00-3:00 | ⭐⭐⭐ | Afternoon setups develop |
| 3:00-3:30 | ⭐⭐⭐⭐ | End of day momentum |
| 3:30-4:00 | ⭐⭐ | Closing volatility, risky |
---
# Troubleshooting
## Common Issues
### "Signals aren't appearing"
- Check that the relevant system is enabled in settings
- Ensure minimum signals threshold isn't too high
- Verify the stock has sufficient volume for calculations
### "Too many false signals"
- Increase minimum signals threshold
- Use more conservative settings (see Settings section)
- Focus on stocks with cleaner price action
### "Dashboard not showing"
- Ensure "Show Signal Dashboard" is enabled
- Check that your chart has enough space
- Try a different dashboard position
### "VWAP line is missing"
- VWAP requires intraday timeframes (1m, 5m, 15m, etc.)
- VWAP resets daily; won't show on daily+ charts
- Ensure "Show VWAP Line" is enabled
### "Stop loss seems too tight/wide"
- Adjust Stop ATR Multiple in Risk Management settings
- Lower multiple = tighter stop
- Higher multiple = wider stop
### "Alerts not triggering"
- Verify alert is set to the correct indicator
- Check that alert hasn't expired
- Ensure notification settings are configured in TradingView
## Performance Optimization
If the indicator is slow:
1. Reduce the number of visual elements shown
2. Disable unused signal systems
3. Use on fewer simultaneous charts
4. Close unused browser tabs
---
# Changelog
## Version 1.0 (Initial Release)
- 7 core detection systems implemented
- Real-time signal dashboard
- Automatic risk management calculations
- 7 alert conditions
- Full visual overlay system
- Comprehensive input settings
## Planned Features (Future Updates)
- Scanner integration for multi-stock screening
- Machine learning signal weighting
- Backtesting statistics panel
- Volume profile analysis
- Level 2 data integration (if available)
- Custom timeframe VWAP options
---
# Support & Feedback
## Reporting Issues
When reporting issues, please include:
1. TradingView username
2. Stock symbol and timeframe
3. Screenshot of the issue
4. Your indicator settings
5. Steps to reproduce
## Feature Requests
We welcome suggestions for improving PSSP. Consider:
- What specific pattern are you trying to catch?
- How would this help your trading?
- Any reference examples?
---
# Disclaimer
**IMPORTANT: This indicator is for educational and informational purposes only.**
- Past performance does not guarantee future results
- Short selling carries unlimited risk potential
- Always use proper position sizing and stop losses
- Paper trade before using real capital
- The creator assumes no liability for trading losses
- Consult a financial advisor before trading
**Trade at your own risk.**
---
*Penny Stock Short Signal Pro v1.0*
*Pine Script v6*
*© 2025*
