Parabolic RSI [ChartPrime]The Parabolic RSI indicator applies the Parabolic SAR directly to the Relative Strength Index (RSI) . This combination helps traders identify trend shifts and potential reversal points within the RSI framework. The indicator provides both regular and strong signals based on whether the Parabolic SAR crosses above or below key RSI thresholds.
⯁ KEY FEATURES
Parabolic SAR Applied to RSI – Tracks momentum shifts within the RSI indicator.
Dynamic SAR Dots – Plots SAR levels directly on the RSI for visual clarity.
Threshold-Based Signal Filtering – Uses upper (70) and lower (30) RSI levels to determine strong signals.
Simple and Strong Signal System :
Big Diamonds (Strong Signals) – Appear when Parabolic SAR crosses above 70 or below 30 RSI, indicating potential reversals.
Small Diamonds (Regular Signals) – Appear when Parabolic SAR flips inside the RSI range, signaling weaker trend shifts.
Chart Overlay Signals – Highlights strong RSI-based trend shifts directly on the price chart.
Fully Customizable – Modify RSI length, SAR parameters, colors, and signal displays.
⯁ HOW TO USE
Look for strong signals (big diamonds) when SAR flips above 70 RSI (overbought) or below 30 RSI (oversold) for potential reversals.
Use regular signals (small diamonds) for minor trend shifts within the RSI range.
Combine with price action and other indicators to confirm entry and exit points.
Adjust the SAR acceleration factors to fine-tune sensitivity based on market conditions.
⯁ CONCLUSION
The Parabolic RSI indicator merges trend-following and momentum-based analysis by applying the Parabolic SAR to RSI. This allows traders to detect trend shifts inside the RSI space with an intuitive diamond-based signal system . Whether used alone or as part of a broader trading strategy, this indicator provides a clear and structured approach to identifying momentum reversals and potential trading opportunities.
센터드 오실레이터
MA Smoothed RSI For LoopMA Smoothed RSI For Loop
Introduction
The MA Smoothed RSI For Loop is a refined momentum indicator that enhances the classic Relative Strength Index (RSI) through advanced smoothing techniques and intelligent visual cues. By applying a moving average smoothing process within a for loop structure and integrating upper and lower threshold logic, this tool enables traders to detect trends with greater clarity and robustness. It is specifically built for traders who seek high-confidence signals through smoothed momentum analysis and contextual visual feedback.
Key Features
For Loop RSI Smoothing: Applies iterative moving average smoothing to the RSI using a for loop, reducing false signals and improving overall trend accuracy.
Threshold-Based Trend Detection: Incorporates upper and lower RSI thresholds to filter out weak signals and confirm strong momentum-driven trends.
Customizable Moving Averages: Supports a variety of moving average types (such as SMA, EMA, WMA) and lengths for tailored responsiveness.
Dynamic Color Feedback: Colors adapt based on RSI position and momentum, making it easy to interpret strength, reversal zones, or trend continuations.
Real-Time Trend Table: Trend Direction (uptrend/downtrend), Strength of Trend (based on RSI slope and threshold behavior) and Duration (number of bars in the current trend phase).
Weighted Loop Control: Allows users to apply weights during the smoothing loop, fine-tuning the indicator’s sensitivity.
How It Works
The indicator begins by computing the RSI from price data. It then enters a for loop where the RSI is repeatedly smoothed with a chosen moving average. This recursive process stabilizes the signal, minimizing the effects of short-term noise.
Upper and lower RSI thresholds are applied to define meaningful zones of momentum. Only when the smoothed RSI crosses and sustains beyond these thresholds is a trend considered significant. The direction and persistence of these movements are visually encoded using dynamic color schemes and captured numerically in the trend table.
This dual-layered method smoothing and threshold filtering provides a robust structure for identifying and monitoring meaningful price momentum.
Use Case
In the example described above we have one long and short positions early triggered once the momentum signal crossed its related threshold up in the case of bullish trend and down for the bearish one.
Conclusion
The MA Smoothed RSI For Loop offers a sophisticated approach to trend analysis by blending smoothed RSI logic with threshold-based confirmation and rich visual interpretation.
Disclaimer
This indicator is designed for educational and informational use only. It should not be construed as financial advice or a recommendation to trade. Always perform your own analysis and consult a qualified financial advisor before making investment decisions. Use at your own risk.
Dynamic Momentum BandsDynamic Momentum Bands
Introduction
The Dynamic Momentum Bands indicator is a powerful analytical tool designed to help traders identify the strength and direction of market momentum with greater precision. By combining key technical methodologies such as Relative Strength Index (RSI), adaptive volatility analysis, and customizable moving averages this indicator offers a multi-dimensional perspective on evolving market conditions. Whether in trending or ranging environments, Dynamic Momentum Bands aim to deliver actionable insights that enhance decision-making and risk management.
Key Features
Adaptive Band Calculation: The bands adjust dynamically in response to market conditions, allowing them to expand during volatile periods and contract during consolidation phases.
RSI-Driven Volatility Scaling: Integrates RSI analysis to scale the width of the bands based on momentum strength, creating a responsive and context-aware framework for trend evaluation.
Multiple Moving Average Options: Offers flexibility with various smoothing techniques, enabling users to tailor the indicator to their preferred strategies (e.g., EMA, SMA, WMA).
Smooth Gradient-Based Visualization: Enhances visual clarity with color gradients that reflect momentum intensity and directional bias, supporting intuitive interpretation of the market state.
How It Works
The Dynamic Momentum Bands indicator operates by combining three core components:
Adaptive Moving Averages: A central baseline is calculated using a selected moving average type. This baseline reflects the general price trend over a user-defined lookback period.
Volatility-Scaled Band Widths: Band distances from the central average are determined using an RSI-based volatility model. Higher RSI values and volatility readings cause the bands to widen, signaling stronger price momentum or potential breakouts.
Gradient Visualization: The bands are color-coded with gradient fills to reflect changes in momentum strength, providing real-time visual cues about potential trend shifts or exhaustion points.
This integration of methodologies allows the indicator to remain responsive to price action while maintaining a smooth, noise-filtered representation of market dynamics.
Conclusion
The Dynamic Momentum Bands indicator offers a versatile and insightful approach to tracking market momentum and volatility. Its adaptive design and multifactor methodology make it suitable for traders who seek a deeper understanding of price behavior beyond conventional moving average envelopes. By delivering a visually rich and responsive analysis tool, it empowers users to make more informed trading decisions across various market environments.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users are advised to conduct their own analysis and consult with a licensed financial advisor before making any trading decisions.
Dynamic Volume Profile OscillatorDynamic Volume Profile Oscillator
Introduction
The Dynamic Volume Profile Oscillator (DVPO) is an advanced technical analysis tool that merges volume profiling with price action dynamics to enhance trend identification and improve trade entry precision. Unlike conventional oscillators that rely solely on price-based metrics, DVPO incorporates adaptive volume-weighted mean deviations to present a more responsive and insightful perspective on market behavior. This makes it a powerful instrument for traders seeking refined momentum insights and context-aware overbought/oversold detection.
Key Features
Adaptive Volume Profiling: Utilizes real-time volume data to adjust the oscillator’s sensitivity to prevailing market activity, enabling more accurate trend and exhaustion zone identification.
Mean Reversion Mode: Highlights potential reversion points when price deviates significantly from volume-weighted norms, ideal for contrarian and range-bound strategies.
Oscillator Smoothing: Integrates optional smoothing filters to reduce noise and provide clearer directional signals without sacrificing responsiveness.
Dynamic Midline & Zones: Features an evolving midline calibrated to the current volume-weighted context, along with dynamically adjusting overbought and oversold zones.
Signal Crossovers: Generates actionable momentum signals when the oscillator crosses key thresholds or the midline, aiding in timing entries and exits.
Gradient Zone Visualization: Visually represents intensity and directional bias through gradient color zones, helping users quickly assess momentum strength and market condition shifts.
How It Works
The DVPO calculates deviations from a volume-weighted average price baseline across a defined lookback period. These deviations are then transformed into an oscillator that fluctuates above and below a dynamic midline, which represents the fair value zone based on recent volume distribution.
To enhance interpretability, the indicator introduces:
Dynamic Zones that expand or contract based on current volatility and volume skewness.
Smoothing algorithms (optional) that can be applied to reduce erratic movements caused by sudden spikes in volume.
Gradient coloring to reflect the strength and direction of the momentum — darker tones indicate stronger trends, while lighter ones suggest potential reversals or weakening trends.
Crossover logic that detects when the oscillator line crosses above or below the midline or critical thresholds, often coinciding with trend initiations or reversals.
Conclusion
The Dynamic Volume Profile Oscillator offers a significant enhancement to traditional momentum indicators by intelligently adapting to both price and volume shifts. Whether used for trend following, mean reversion, or breakout confirmation, its comprehensive design provides traders with an intuitive yet powerful edge in identifying actionable market signals across varying conditions.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users should perform their own due diligence and consult a qualified financial advisor before making any trading decisions.
Multi-Oscillator Adaptive KernelMulti-Oscillator Adaptive Kernel
Introduction
The Multi-Oscillator Adaptive Kernel (MOAK) is a powerful momentum-based indicator that fuses multiple popular oscillators RSI, Stochastic, MFI, and CCI into a single, adaptive tool. Through advanced kernel smoothing techniques, MOAK is engineered to filter out market noise and deliver clearer, more consistent trend signals. Whether in trending or ranging markets, MOAK equips traders with a holistic perspective on momentum across multiple timeframes.
Key Features
Oscillator Fusion: Combines normalized values from RSI, Stochastic, Money Flow Index, and Commodity Channel Index to capture broader momentum shifts.
Advanced Kernel Smoothing: Utilizes three kernel smoothing algorithms—Exponential, Linear, and Gaussian—to refine raw oscillator data and minimize false signals.
Customizable Sensitivity: Traders can tailor the indicator's responsiveness by adjusting lookback periods, kernel lengths, and smoothing sensitivity.
Clear Visual Signals: Features a color-coded signal line—cyan for bullish, magenta for bearish—with gradient fills to reflect trend intensity and direction.
Overbought/Oversold Zones: A central zero line helps identify momentum extremes, with layered gradients to indicate the strength of potential reversals or continuations.
Adaptive Signal Design: Dynamically adjusts its output to align with changing market conditions, offering reliable performance across diverse market environments.
How It Works
MOAK starts by calculating and normalizing input from four widely used momentum oscillators: Relative Strength Index (RSI), Stochastic Oscillator, Money Flow Index (MFI), and Commodity Channel Index (CCI). These values are then aggregated to form a composite momentum reading.
To reduce market noise and enhance signal clarity, the composite reading is passed through one of three user-selectable kernel smoothing filters—Exponential, Linear, or Gaussian. These algorithms shape the data curve, softening abrupt fluctuations while preserving meaningful trends.
The resulting smoothed output is rendered visually as a central signal line, colored cyan for upward momentum and magenta for downward momentum. A series of gradient fills around this line illustrates the intensity of the underlying momentum, with the zero line acting as a visual boundary between overbought and oversold regions. Users can customize key parameters such as lookback window, kernel length, and sensitivity level, ensuring the indicator can be optimized for different assets and trading styles.
Examples
MOAK is able to provide clear trend detection on large cap token such as Bitcoin in the example shown below and resistant to noise during consolidation period.
Downside positions are also handled by the indicator, this time on Solana which is more volatile than Bitcoin but even with more volatility MOAK was able to catch an early entry in the downside move.
Below an example on a lower timeframe with a low cap token Fartcoin where MOAK triggered an early entry on a positive uptrend.
Conclusion
MOAK is a sophisticated yet intuitive momentum indicator, merging the strengths of multiple oscillators into a cohesive and adaptive signal. Its kernel-based smoothing and customizable parameters make it a valuable tool for traders seeking to identify trend direction, assess momentum strength, and filter out short-term noise with precision. Ideal for both trend-following and range-trading strategies, MOAK offers a versatile edge in dynamic market conditions.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice, nor does it guarantee specific results. Always perform your own analysis and consult a licensed financial advisor before making any trading decisions. Use at your own risk.
Custom RSI Order Blocks MomentumThat indicator shows when the coin is overbought or Oversold where there are buy and sell orders
[blackcat] L3 Ehlers DFT-Adapted RSIOVERVIEW
The L3 Ehlers DFT-Adapted RSI is an advanced technical indicator that combines Digital Fourier Transform (DFT) analysis with traditional RSI calculations to provide enhanced market trend identification and trading signals.
FEATURES
• DFT-based frequency analysis of price movements
• Adaptive RSI calculation using dominant cycle detection
• Fast and slow moving average lines
• Color-coded candlestick visualization
• Horizontal reference lines at 45 and 55
• Intelligent sideways detection and label management
• Customizable parameter inputs
HOW TO USE
Configure the following inputs:
• Price source (default: HL2)
• Window size (default: 50)
• Overbought threshold (default: 70)
• Oversold threshold (default: 30)
• Fraction multiplier (default: 0.5)
Interpret the indicator:
• Yellow candles indicate bullish momentum
• Fuchsia candles indicate bearish momentum
• Crosses between fast and slow lines suggest potential trend changes
• Position relative to the 45/55 lines indicates overall market sentiment
• Labels appear only when sideways conditions break
SIDESWAYS DETECTION
• Sideways conditions are identified when:
The difference between fast and slow lines is less than 0.5
Both lines show minimal movement (< 0.1) • During sideways periods:
Existing labels are removed
No new labels are generated • When sideways ends:
If trend reverses, opposite label is generated
If trend continues, no new label is created
LIMITATIONS
• Requires sufficient historical data for accurate calculations
• Performance may vary across different market conditions
• Parameter sensitivity requires careful calibration
NOTES
• The indicator uses Ehlers' proprietary DFT methodology
• Default settings are optimized for general market conditions
• Consider adjusting parameters based on your trading timeframe and strategy
Kombine Al/Sat SistemiFeatures:
Support/Resistance Levels: Green line indicates support, red line indicates resistance levels.
RSI Indicator: Green triangle signals when RSI goes above 30.
Buy/Sell Signals: Shows "BUY" and "SELL" labels with EMA intersections and RSI combination.
Money Input: Marked with a blue circle in case of volume increase + price increase.
MACD Histogram: Provides extra momentum information.
This indicator will show all these features together when you add it to your chart. You can adjust the parameters according to your own trading strategy.
Pullback Long Screener indicator V2 - 15minThis indicator automatically detects long entry opportunities in strong uptrends on the 15-minute timeframe.
It identifies potential trend continuation signals after a temporary pullback, using Stoch RSI crossovers, EMA 9 and EMA 21 alignment, and a RSI value above 50.
Criteria used:
EMA 9 > EMA 21 and price above EMA 21
Temporary pullback to EMA 21 without breaking it
Bullish Stoch RSI crossover in the lower zone
RSI > 50 (and optionally < 75 if the filter is enabled)
Close above the previous candle (breakout)
Recommended usage:
Combine with higher timeframe confirmation (1H / 4H) to filter the best setups.
Ideal for scalpers and swing traders.
Pullback Long Screener V3.1 - BUY & Slope Filter📈 **Pullback Long Screener V3.1 – BUY & Slope Filter**
This indicator helps traders detect high-probability buying opportunities during strong bullish trends — ideal for scalping and swing setups in crypto and other assets.
🔍 **Core Features**:
- Detects temporary pullbacks in an uptrend
- Filters for high-quality continuation signals:
- EMA 21 upward slope confirmation
- Bullish breakout with at least +0.3% move
- Stoch RSI bullish crossover from oversold
- RSI > 50 (optional RSI < 75 filter)
- Score-based BUY labels:
- 🟢 BUY 5/5: Strong confirmed entry
- 🔵 BUY 4/5: Near-perfect setup
- 🟡 BUY 3/5: Optional visibility (via toggle)
🎯 Best used on 15-minute charts, combined with multi-timeframe confluence.
Developed with real setups and precision in mind for traders looking for clean trend continuation entries.
Pullback Short Screener V3.1 - SELL & Slope FilterThis indicator is designed to detect high-probability short-selling opportunities during strong bearish trends on any asset, especially in crypto futures scalping.
🔍 **Key Features**:
- Identifies pullbacks in a downtrend with smart filtering.
- Confirms trend continuation with:
- EMA 21 downward slope
- Bearish breakout with minimum -0.3% move
- Stochastic RSI crossover from overbought
- RSI < 50 (configurable lower bound)
- Displays score-based SELL labels:
- 🟥 SELL 5/5: Strong short signal
- 🟧 SELL 4/5: Near-perfect setup
- 🟨 SELL 3/5: Optional, toggled via input
🎯 Best used on 15min charts, combined with multi-timeframe analysis and key resistance zones.
Created with scalpers, swing traders, and automated strategy testers in mind.
Gas/Oil SpreadGas/Oil Spread Analyzer with Static Overbought/Oversold Zones
This indicator measures the spread between the actual price of natural gas and its oil-based equivalent, derived from a defined oil/gas ratio. It helps traders identify potential mispricings and mean-reversion opportunities between the two energy commodities.
Key Features:
- Calculates spread: Gas Price – Oil-Based Equivalent Price
- Supports dynamic or static oil/gas ratio
- Plots a smoothed version of the spread (SMA)
- Displays static overbought and oversold zones to highlight extreme deviations
Use Cases:
- Detect overvalued or undervalued gas relative to oil
- Spot potential reversion setups in intermarket trading
- Evaluate energy market dislocations and hedging opportunities
MACD Chart Signalsgoes with other macd - this is the actual macd that is displayed separately from the trading signals. don't have to use them together. the buy/sell signals come from here. converted from old python algorithm......
MACD Indicatormacd indicator converted from algorithm written in python. nothing revolutionary, more of an experiment - goes with other macd indicator
macd - RSI - Stoch RSI - Long OnlyThis is a scalping indicator only for Long positions.
It is designed ONLY FOR CRYPTO. It is possible to make a version for other assets, but I repeat, this is only for crypto.
It combines macd, RSI and Stochastic RSI parameters to find the right entries, and this provides a very high win rate.
The default settings work better on the 15min timeframe.
As mentioned above, this indicator is for scalping, therefore it enters and exits quickly.
5-Min Call/Put Entry StrategyNifty / Bank Nifty /FinNifty
Call buy signal (all conditions must) :-
5 min time frame Close above 21SMA high
Close above vwap
5 min time frame close above 50 ema
RSI above 60 on 5 min time frame
Put buy signal (all conditions must) :-
5 min time frame Close below 21SMA low
Close below vwap 5 min time frame
close below 50 ema
RSI below 40 on 5 min time frame
Stop Loss condition for Call : 5 min time frame Close below 21SMA Low
Stop Loss condition for Put : 5 min time frame close above 21SMA High
Precision RSI StrategyCall buy signal (all conditions must) :-
5 min time frame Close above 21SMA high
Close above vwap
5 min time frame close above 50 ema
RSI above 60 on 5 min time frame
Put buy signal (all conditions must) :-
5 min time frame Close below 21SMA low
Close below vwap 5 min time frame
close below 50 ema
RSI below 40 on 5 min time frame
Stop Loss condition for Call : 5 min time frame Close below 21SMA Low
Stop Loss condition for Put : 5 min time frame close above 21SMA High
Z-Score IndicatorThis is just a basic Z score indicator with some settings I find useful.
Z-score is a statistical measure that tells you how many standard deviations a data point is from the mean. It’s a way of understanding how unusual or extreme a current value is compared to a typical baseline.
This can be useful for:
1. Mean Reversion
Traders look for values with high or low Z-scores (e.g. > +2 or < –2) to identify when a price is far from the mean and might revert.
Example: A stock trading at a +2.5 Z-score relative to its moving average may be considered "overbought".
2. Pairs Trading
Z-scores help detect divergences between correlated instruments.
Example: If Stock A and Stock B usually trade in sync, and their spread has a Z-score of –2, that may signal a long A / short B setup.
3. Risk Management / Anomaly Detection
A high Z-score on volume, volatility, or other indicators can alert you to outlier conditions or potential breakouts.
4. Standardization
Z-scores allow different instruments or timeframes to be compared on the same scale, by normalizing the data.
In general:
0 At the mean
±1 Within 1 std dev (68% of data) — normal range
±2 Outside 95% of data — getting extreme
±3+ Very rare — possible reversion or breakout point
TrendPulse ADX [Fixed]The TrendPulse ADX helps you spot strong market trends by combining two key signals:
ADX (Average Directional Index) shows how strong a trend is (up or down).
Volume confirms that the trend has enough trading activity to trust it.
What it does:
Lights up when a trend is strong (ADX above a threshold) and volume is higher than usual.
Avoids weak signals by checking market volatility (using ATR).
Shows clear buy/sell signals with green/red triangles on the chart.
Why it’s better:
Reacts faster than standard ADX to catch trends early.
Only triggers on significant volume spikes, reducing false signals.
Works for stocks, crypto, forex, or any market you trade.
How to use:
Add it to your TradingView chart.
Look for green triangles (potential buy) or red triangles (potential sell).
Adjust settings like ADX threshold or volume multiplier to fit your trading style (e.g., scalping or swing trading).
Always confirm with price action or other tools and use a stop-loss to manage risk.
AlphaTrendThis indicator works very well to identify trending markets. Use with ADX to eliminate false positives in case of sideways market
Multi-Divergence Strategy - VerbeterdThe Multi-Divergence Strategy is designed for traders who want to capitalize on technical divergences while maintaining disciplined risk management. This strategy integrates three popular indicators (RSI, MACD, and Stochastic) to identify bullish and bearish signals through crossovers. Users can choose, on an indicator-by-indicator basis, whether to include them in the analysis. Additionally, a trend filter based on a 50-period moving average ensures that positions are only taken in line with the prevailing market trend. For risk management, both fixed stop-loss and take-profit levels, as well as a trailing stop, are implemented to limit losses and secure profits. This combination makes the strategy robust and flexible, suitable for both beginners and experienced traders looking for a systematic approach to technical analysis and position management.
SYMBOL ; XAUUSD on 5 MINUTES TIMEFRAME
Disclaimer:
Trading in financial markets carries significant risks and may result in the loss of your entire investment. The information, strategies, and signals provided herein are intended solely for educational and informational purposes and do not constitute financial or investment advice. No warranty is given regarding the profitability of any strategy, and past performance is not indicative of future results. You are advised to conduct your own thorough research and, if necessary, consult with a qualified financial advisor before making any trading decisions. Always trade using risk capital that you can afford to lose and assume full responsibility for your investment decisions.
Hamid Double RSIRSI with Moving Average and Another RSI
This script combines two Relative Strength Index (RSI) indicators with configurable moving averages. It allows traders to track momentum and market strength with adjustable periods for both the RSI and moving averages. The script also allows you to choose different data sources for each RSI, offering flexibility in analysis.
Features:
Two RSIs: One with a shorter period and another with a longer period .
Moving Averages: Each RSI has its own configurable moving average . The moving averages help smooth out the RSI and provide clearer trends.
Customizable Inputs: Adjust the RSI period and the length of the moving averages. You can also choose different sources for each RSI (e.g., close, open, high, low).
Mid Line: A horizontal line at 50, which is commonly used as the neutral level for the RSI. It helps identify whether the RSI is above or below neutral, indicating bullish or bearish conditions.
Overbought and Oversold Levels: Horizontal lines at 70 (overbought) and 30 (oversold) to highlight when the asset might be overbought or oversold according to the RSI.
How it works:
RSI Calculation: The script calculates two RSIs using different lengths
Moving Averages: A Simple Moving Average (SMA) is applied to both RSIs to smooth their values and help identify trends.
Overbought/Oversold Indicators: The script includes horizontal lines at 70 and 30 to show overbought and oversold conditions. The mid line is plotted at 50 to highlight neutral levels.
This indicator is useful for traders who want to compare the behavior of two RSIs over different time periods and use the moving averages to filter out noise. The ability to customize the source data for each RSI makes this script adaptable to different trading strategies.
Scalping Strategy with DCA - V2Strategy Overview
This advanced scalping strategy combines technical analysis with strategic Dollar Cost Averaging (DCA) for short-term crypto trading. It utilizes multiple indicators to identify high-probability entry points and implements a structured approach to position management with predefined risk controls.
Key Features
Multi-indicator confirmation system using EMA 48, RSI 14, MACD, and Bollinger Bands
Smart entry detection based on trend changes, price action, and divergence patterns
Fixed risk management limiting exposure to 1-3% of total account per trade
Structured DCA approach with 1-2-6 ratio for averaging down
Higher timeframe confirmation to avoid false signals
Preset take-profit levels at 0.5% and 1% for partial profit taking
Dynamic stop-loss adjustment with breakeven protection after securing profits
Trading Conditions
The strategy enters trades when all of the following conditions align:
Price crosses the EMA 48 in the intended direction
RSI confirms strength (>60 for longs, <40 for shorts)
MACD line crosses above/below signal line confirming momentum
Price is near previous support/resistance zones
RSI shows divergence at the 5th peak/trough
Higher timeframe confirms this is the 2nd pivot point
Risk Management
Initial risk limited to 1-3% of account
Position sizing follows 1-2-6 DCA ratio for averaging down
Stop loss set at 1-3% from entry, calculated in monetary terms
After full DCA deployment, stop loss updated to 1.3% from entry
Take profit at 0.5% (close 25%) and 1% (close 50%)
Stop loss moves to breakeven after second take profit hit
Best Trading Conditions
Use only on cryptocurrencies with large market capitalization
Trade coins with holder percentage above 7%
Best results in trending markets with clear support/resistance
Optimal on 5-minute to 1-hour timeframes for scalping
Implementation Notes
This strategy is designed for precision scalping in crypto markets. It combines volatility controls with trend-following techniques and systematic position management to maximize reward while strictly limiting risk exposure.
Puts vs Longs vs Price Oscillator SwiftEdgeWhat is this Indicator?
The "Low-Latency Puts vs Longs vs Price Oscillator" is a custom technical indicator built for TradingView to help traders visualize buying and selling activity in a market without access to order book data. It displays three lines in an oscillator below the price chart:
Green Line (Longs): Represents the strength of buying activity (bullish pressure).
Red Line (Puts): Represents the strength of selling activity (bearish pressure).
Yellow Line (Price): Shows the asset’s price in a scaled format for direct comparison.
The indicator uses price movements, volume, and momentum to estimate when buyers or sellers are active, providing a quick snapshot of market dynamics. It’s optimized for fast response to price changes (low latency), making it useful for both short-term and longer-term trading strategies.
How Does it Work?
Since TradingView doesn’t provide direct access to order book data (which shows real-time buy and sell orders), this indicator approximates buying and selling pressure using commonly available data: price, volume, and a momentum measure called Rate of Change (ROC). Here’s how it combines these elements:
Price Movement: The indicator checks if the price is rising or falling compared to the previous candlestick. A rising price suggests buying (longs), while a falling price suggests selling (puts).
Volume: Volume acts as a "weight" to measure the strength of these price moves. Higher volume during a price increase boosts the green line, while higher volume during a price decrease boosts the red line. This mimics how large orders in an order book would influence the market.
Rate of Change (ROC): ROC measures how fast the price is changing over a set period (e.g., 5 candlesticks). It adds a momentum filter—strong upward momentum reinforces buying signals, while strong downward momentum reinforces selling signals.
These components are calculated for each candlestick and summed over a short lookback period (e.g., 5 candlesticks) to create the green and red lines. The yellow line is simply the asset’s closing price scaled down to fit the oscillator’s range, allowing you to compare buying/selling strength directly with price action.
Why Combine These Elements?
The combination of price, volume, and ROC is intentional and synergistic:
Price alone isn’t enough—it tells you what happened but not how strong the move was.
Volume adds context by showing the intensity behind price changes, much like how order book volume indicates real buying or selling interest.
ROC ensures the indicator captures momentum, filtering out weak or random price moves and focusing on significant trends, similar to how aggressive order execution might appear in an order book.
Together, they create a balanced picture of market activity that’s more reliable than any single factor alone. The goal is to simulate the insights you’d get from an order book—where you’d see buy/sell imbalances—using data available in TradingView.
How to Use It
Setup:
Add the indicator to your chart via TradingView’s Pine Editor by copying and pasting the script.
Adjust the inputs to suit your trading style:
Lookback Period: Number of candlesticks (default 5) to sum buying/selling activity. Shorter = more responsive; longer = smoother.
Price Scale Factor: Scales the yellow price line (default 0.001). Increase for high-priced assets (e.g., 0.01 for indices like DAX) or decrease for low-priced ones (e.g., 0.0001 for crypto).
ROC Period: Candlesticks for momentum calculation (default 5). Shorter = faster response.
ROC Weight: How much momentum affects the signal (default 0.5). Higher = stronger momentum influence.
Volume Threshold: Minimum volume multiplier (default 1.5) to boost signals during high activity.
Reading the Oscillator:
Green Line Above Yellow: Strong buying pressure—price is rising with volume and momentum support. Consider this a bullish signal.
Red Line Above Yellow: Strong selling pressure—price is falling with volume and momentum support. Consider this a bearish signal.
Green/Red Crossovers: When the green line crosses above the red, it suggests buyers are taking control. When the red crosses above the green, sellers may be dominating.
Yellow Line Context: Compare green/red lines to the yellow price line to see if buying/selling strength aligns with price trends.
Trading Examples:
Bullish Setup: Green line spikes above yellow after a price breakout with high volume (e.g., DAX opening jump). Enter a long position if confirmed by other indicators.
Bearish Setup: Red line rises above yellow during a price drop with increasing volume. Look for a short opportunity.
Reversal Warning: If the green line stays high while price (yellow) flattens or drops, it could signal overbought conditions—be cautious.
What Makes It Unique?
Unlike traditional oscillators like RSI or MACD, which focus solely on price momentum or trends, this indicator blends price, volume, and momentum into a three-line system that mimics order book dynamics. Its low-latency design (short lookback and no heavy smoothing) makes it react quickly to market shifts, ideal for volatile markets like DAX or forex. The visual separation of buying (green) and selling (red) against price (yellow) offers a clear, intuitive way to spot imbalances without needing complex data.
Tips and Customization
Volatile Markets: Use a shorter lookback (e.g., 3) and ROC period (e.g., 3) for faster signals.
Stable Markets: Increase lookback (e.g., 10) for smoother, less noisy lines.
Scaling: If the green/red lines dwarf the yellow, adjust Price Scale Factor up (e.g., 0.01) to balance them.
Experiment: Test on your asset (stocks, crypto, indices) and tweak inputs to match its behavior.
