Heiken Ashi Supertrend ADXHeiken Ashi Supertrend ADX Indicator
Overview
This indicator combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement. These are overlayed onto normal candes for more accuarte signalling and plotting
Supertrend Filter: Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop: Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters : All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters : Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings : Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
[Recommended Timeframes : Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Performance Characteristics
When properly optimized, this has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This indicator represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
Médias Móveis
Dskyz (DAFE) MAtrix with ATR-Powered Precision Dskyz (DAFE) MAtrix with ATR-Powered Precision
This cutting‐edge futures trading strategy built to thrive in rapidly changing market conditions. Developed for high-frequency futures trading on instruments such as the CME Mini MNQ, this strategy leverages a matrix of sophisticated moving averages combined with ATR-based filters to pinpoint high-probability entries and exits. Its unique combination of adaptable technical indicators and multi-timeframe trend filtering sets it apart from standard strategies, providing enhanced precision and dynamic responsiveness.
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Core Functional Components
1. Advanced Moving Averages
A distinguishing feature of the DAFE strategy is its robust, multi-choice moving averages (MAs). Clients can choose from a wide array of MAs—each with specific strengths—in order to fine-tune their trading signals. The code includes user-defined functions for the following MAs:
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Hull Moving Average (HMA):
The hma(src, len) function calculates the HMA by using weighted moving averages (WMAs) to reduce lag considerably while smoothing price data. This function computes an intermediate WMA of half the specified length, then a full-length WMA, and finally applies a further WMA over the square root of the length. This design allows for rapid adaptation to price changes without the typical delays of traditional moving averages.
Triple Exponential Moving Average (TEMA):
Implemented via tema(src, len), TEMA uses three consecutive exponential moving averages (EMAs) to effectively cancel out lag and capture price momentum. The final formula—3 * (ema1 - ema2) + ema3—produces a highly responsive indicator that filters out short-term noise.
Double Exponential Moving Average (DEMA):
Through the dema(src, len) function, DEMA calculates an EMA and then a second EMA on top of it. Its simplified formula of 2 * ema1 - ema2 provides a smoother curve than a single EMA while maintaining enhanced responsiveness.
Volume Weighted Moving Average (VWMA):
With vwma(src, len), this MA accounts for trading volume by weighting the price, thereby offering a more contextual picture of market activity. This is crucial when volume spikes indicate significant moves.
Zero Lag EMA (ZLEMA):
The zlema(src, len) function applies a correction to reduce the inherent lag found in EMAs. By subtracting a calculated lag (based on half the moving average window), ZLEMA is exceptionally attuned to recent price movements.
Arnaud Legoux Moving Average (ALMA):
The alma(src, len, offset, sigma) function introduces ALMA—a type of moving average designed to be less affected by outliers. With parameters for offset and sigma, it allows customization of the degree to which the MA reacts to market noise.
Kaufman Adaptive Moving Average (KAMA):
The custom kama(src, len) function is noteworthy for its adaptive nature. It computes an efficiency ratio by comparing price change against volatility, then dynamically adjusts its smoothing constant. This results in an MA that quickly responds during trending periods while remaining smoothed during consolidation.
Each of these functions—integrated into the strategy—is selectable by the trader (via the fastMAType and slowMAType inputs). This flexibility permits the tailored application of the MA most suited to current market dynamics and individual risk management preferences.
2. ATR-Based Filters and Risk Controls
ATR Calculation and Volatility Filter:
The strategy computes the Average True Range (ATR) over a user-defined period (atrPeriod). ATR is then used to derive both:
Volatility Assessment: Expressed as a ratio of ATR to closing price, ensuring that trades are taken only when volatility remains within a safe, predefined threshold (volatilityThreshold).
ATR-Based Entry Filters: Implemented as atrFilterLong and atrFilterShort, these conditions ensure that for long entries the price is sufficiently above the slow MA and vice versa for shorts. This acts as an additional confirmation filter.
Dynamic Exit Management:
The exit logic employs a dual approach:
Fixed Stop and Profit Target: Stops and targets are set at multiples of ATR (fixedStopMultiplier and profitTargetATRMult), helping manage risk in volatile markets.
Trailing Stop Adjustments: A trailing stop is calculated using the ATR multiplied by a user-defined offset (trailOffset), which captures additional profits as the trade moves favorably while protecting against reversals.
3. Multi-Timeframe Trend Filtering
The strategy enhances its signal reliability by leveraging a secondary, higher timeframe analysis:
15-Minute Trend Analysis:
By retrieving 15-minute moving averages (fastMA15m and slowMA15m) via request.security, the strategy determines the broader market trend. This secondary filter (enabled or disabled through useTrendFilter) ensures that entries are aligned with the prevailing market direction, thereby reducing the incidence of false signals.
4. Signal and Execution Logic
Combined MA Alignment:
The entry conditions are based primarily on the alignment of the fast and slow MAs. A long condition is triggered when the current price is above both MAs and the fast MA is above the slow MA—complemented by the ATR filter and volume conditions. The reverse applies for a short condition.
Volume and Time Window Validation:
Trades are permitted only if the current volume exceeds a minimum (minVolume) and the current hour falls within the predefined trading window (tradingStartHour to tradingEndHour). An additional volume spike check (comparing current volume to a moving average of past volumes) further filters for optimal market conditions.
Comprehensive Order Execution:
The strategy utilizes flexible order execution functions that allow pyramiding (up to 10 positions), ensuring that it can scale into positions as favorable conditions persist. The use of both market entries and automated exits (with profit targets, stop-losses, and trailing stops) ensures that risk is managed at every step.
5. Integrated Dashboard and Metrics
For transparency and real-time analysis, the strategy includes:
On-Chart Visualizations:
Both fast and slow MAs are plotted on the chart, making it easy to see the market’s technical foundation.
Dynamic Metrics Dashboard:
A built-in table displays crucial performance statistics—including current profit/loss, equity, ATR (both raw and as a percentage), and the percentage gap between the moving averages. These metrics offer immediate insight into the health and performance of the strategy.
Input Parameters: Detailed Breakdown
Every input is meticulously designed to offer granular control:
Fast & Slow Lengths:
Determine the window size for the fast and slow moving averages. Smaller values yield more sensitivity, while larger values provide a smoother, delayed response.
Fast/Slow MA Types:
Choose the type of moving average for fast and slow signals. The versatility—from basic SMA and EMA to more complex ones like HMA, TEMA, ZLEMA, ALMA, and KAMA—allows customization to fit different market scenarios.
ATR Parameters:
atrPeriod and atrMultiplier shape the volatility assessment, directly affecting entry filters and risk management through stop-loss and profit target levels.
Trend and Volume Filters:
Inputs such as useTrendFilter, minVolume, and the volume spike condition help confirm that a trade occurs in active, trending markets rather than during periods of low liquidity or market noise.
Trading Hours:
Restricting trade execution to specific hours (tradingStartHour and tradingEndHour) helps avoid illiquid or choppy markets outside of prime trading sessions.
Exit Strategies:
Parameters like trailOffset, profitTargetATRMult, and fixedStopMultiplier provide multiple layers of risk management and profit protection by tailoring how exits are generated relative to current market conditions.
Pyramiding and Fixed Trade Quantity:
The strategy supports multiple entries within a trend (up to 10 positions) and sets a predefined trade quantity (fixedQuantity) to maintain consistent exposure and risk per trade.
Dashboard Controls:
The resetDashboard input allows for on-the-fly resetting of performance metrics, keeping the strategy’s performance dashboard accurate and up-to-date.
Why This Strategy is Truly Exceptional
Multi-Faceted Adaptability:
The ability to switch seamlessly between various moving average types—each suited to particular market conditions—enables the strategy to adapt dynamically. This is a testament to the high level of coding sophistication and market insight infused within the system.
Robust Risk Management:
The integration of ATR-based stops, profit targets, and trailing stops ensures that every trade is executed with well-defined risk parameters. The system is designed to mitigate unexpected market swings while optimizing profit capture.
Comprehensive Market Filtering:
By combining moving average crossovers with volume analysis, volatility thresholds, and multi-timeframe trend filters, the strategy only enters trades under the most favorable conditions. This multi-layered filtering reduces noise and enhances signal quality.
-Final Thoughts-
The Dskyz Adaptive Futures Elite (DAFE) MAtrix with ATR-Powered Precision strategy is not just another trading algorithm—it is a multi-dimensional, fully customizable system built on advanced technical principles and sophisticated risk management techniques. Every function and input parameter has been carefully engineered to provide traders with a system that is both powerful and transparent.
For clients seeking a state-of-the-art trading solution that adapts dynamically to market conditions while maintaining strict discipline in risk management, this strategy truly stands in a class of its own.
****Please show support if you enjoyed this strategy. I'll have more coming out in the near future!!
-Dskyz
Caution
DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
Multi-SMA Dashboard (10 SMAs)Description:
This script, "Multi-SMA Dashboard (10 SMAs)," creates a dashboard on a TradingView chart to analyze ten Simple Moving Averages (SMAs) of varying lengths. It overlays the chart and displays a table with each SMA’s direction, price position relative to the SMA, and angle of movement, providing a comprehensive trend overview.
How It Works:
1. **Inputs**: Users define lengths for 10 SMAs (default: 5, 10, 20, 50, 100, 150, 200, 250, 300, 350), select a price source (default: close), and customize table appearance and options like angle units (degrees/radians) and debug plots.
2. **SMA Calculation**: Computes 10 SMAs using the `ta.sma()` function with user-specified lengths and price source.
3. **Direction Determination**: The `sma_direction()` function checks each SMA’s trend:
- "Up" if current SMA > previous SMA.
- "Down" if current SMA < previous SMA.
- "Flat" if equal (no strength distinction).
4. **Price Position**: Compares the price source to each SMA, labeling it "Above" or "Below."
5. **Angle Calculation**: Tracks the most recent direction change point for each SMA and calculates its angle (atan of price change over time) in degrees or radians, based on the `showInRadians` toggle.
6. **Table Display**: A 12-column table shows:
- Columns 1-10: SMA name, direction (Up/Down/Flat), Above/Below status, and angle.
- Column 11: Summary of Up, Down, and Flat counts.
- Colors reflect direction (lime for Up/Above, red for Down/Below, white for Flat).
7. **Debug Option**: Optionally plots all SMAs and price for visual verification when `debug_plots_toggle` is enabled.
Indicators Used:
- Simple Moving Averages (SMAs): 10 user-configurable SMAs ranging from short-term (e.g., 5) to long-term (e.g., 350) periods.
The script runs continuously, updating the table on each bar, and overlays the chart to assist traders in assessing multi-timeframe trend direction and momentum without cluttering the view unless debug mode is active.
Heiken Ashi Supertrend ADX - StrategyHeiken Ashi Supertrend ADX Strategy
Overview
This strategy combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement.
Supertrend Filter : Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop : Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters: All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters: Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings: Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
Recommended Timeframes: Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Position Sizing: The strategy uses a percentage of equity approach (default: 3%) for position sizing
Performance Characteristics
When properly optimized, this strategy has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This strategy represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
SPY Hunter SetupBuilt for traders who want to capture high-probability momentum moves on SPY using clean technical logic.
This strategy was developed and refined to help filter out noise and highlight only the best potential trade setups by combining multiple proven indicators into a cohesive system. The goal is to reduce false signals, limit overtrading, and increase confidence in your entries.
🔻 Put Signals Trigger When:
RSI is above 35
ZLSMA or EMA 9 is sloping down
MACD histogram is bearish
OB/OS value is ≥ 25
Volume is ≥ 70% of the 20-bar average
🔺 Call Signals Trigger When:
RSI is below 50
ZLSMA or EMA 9 is sloping up
MACD histogram is bullish
OB/OS value is ≤ -70
Volume is ≥ 100% of the 20-bar average
Parameter Value (In Indicator Settings)
RSI Source close
RSI Length 14
Call: RSI below 50
Put: RSI above 35
MACD Fast Length 12
MACD Slow Length 26
MACD Signal Smoothing 9
ZLSMA Length 50
EMA Length 9
Volume SMA Length 20
Call: Volume SMA % Threshold 1.0
Put: Volume SMA % Threshold 0.7
Call: OB/OS ≤ -70
Put: OB/OS ≥ 25
OB/OS Source close
OB/OS Length 5
EMA & MA Crossover StrategyGuys, you asked, we did. Strategy for crossing moving averages .
The Moving Average Crossover trading strategy is possibly the most popular
trading strategy in the world of trading. First of them were written in the
middle of XX century, when commodities trading strategies became popular.
This strategy is a good example of so-called traditional strategies.
Traditional strategies are always long or short. That means they are never
out of the market. The concept of having a strategy that is always long or
short may be scary, particularly in today’s market where you don’t know what
is going to happen as far as risk on any one market. But a lot of traders
believe that the concept is still valid, especially for those of traders who
do their own research or their own discretionary trading.
This version uses crossover of moving average and its exponential moving average.
Strategy parameters:
Take Profit % - when it receives the opposite signal
Stop Loss % - when it receives the opposite signal
Current Backtest:
Account: 1000$
Trading size: 0.01
Commission: 0.05%
WARNING:
- For purpose educate only
- This script to change bars colors.
Multi-timeframe Moving Average Overlay w/ Sentiment Table🔍 Overview
This indicator overlays selected moving averages (MA) from multiple timeframes directly onto the chart and provides a dynamic sentiment table that summarizes the relative bullish or bearish alignment of short-, mid-, and long-term moving averages.
It supports seven moving average types — including traditional and advanced options like DEMA, TEMA, and HMA — and provides visual feedback via table highlights and alerts when strong momentum alignment is detected.
This tool is designed to support traders who rely on multi-timeframe analysis for trend confirmation, momentum filtering, and high-probability entry timing.
⚙️ Core Features
Multi-Timeframe MA Overlay:
Plot moving averages from 1-minute, 5-minute, 1-hour, 1-day, 1-week, and 1-month timeframes on the same chart for visual trend alignment.
Customizable MA Type:
Choose from:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
DEMA (Double EMA)
TEMA (Triple EMA)
WMA (Weighted MA)
VWMA (Volume-Weighted MA)
HMA (Hull MA)
Adjustable MA Length:
Change the length of all moving averages globally to suit your strategy (e.g. 9, 21, 50, etc.).
Sentiment Table:
Visually track trend sentiment across four key zones (Hourly, Daily, Weekly, Monthly). Each is based on the relative positioning of short-term and long-term MAs.
Sentiment Symbols Explained:
↑↑↑: Strong bullish momentum (short-term MAs stacked above longer-term MAs)
↑↑ / ↑: Moderate bullish bias
↓↓↓: Strong bearish momentum
↓↓ / ↓: Moderate bearish bias
Table Customization:
Choose the table’s position on the chart (bottom right, top right, bottom left, top left).
Style Customization:
Display MA lines as standard Line or Stepline format.
Color Customization:
Individual colors for each timeframe MA line for visual clarity.
Built-in Alerts:
Receive alerts when strong bullish (↑↑↑) or bearish (↓↓↓) sentiment is detected on any timeframe block.
📈 Use Cases
1. Trend Confirmation:
Use sentiment alignment across multiple timeframes to confirm the overall trend direction before entering a trade.
2. Entry Timing:
Wait for a shift from neutral to strong bullish or bearish sentiment to time entries during pullbacks or breakouts.
3. Momentum Filtering:
Only trade in the direction of the dominant multi-timeframe trend. For example, ignore long setups when all sentiment blocks show bearish alignment.
4. Swing & Intraday Scalping:
Use hourly and daily sentiment zones for swing trades, or rely on 1m/5m MAs for precise scalping decisions in fast-moving markets.
5. Strategy Layering:
Combine this overlay with support/resistance, RSI, or volume-based signals to enhance decision-making with multi-timeframe context.
⚠️ Important Notes
Lower-timeframe values (1m, 5m) may appear static on higher-timeframe charts due to resolution limits in TradingView. This is expected behavior.
The indicator uses MA stacking, not crossover events, to determine sentiment.
Order Blocks & Breaker Blocks + EMA 50/200 + RSIthis instrument shows actual trend with order blocks on different timeframes and EMA 50/200
RSI Full [Titans_Invest]RSI Full
One of the most complete RSI indicators on the market.
While maintaining the classic RSI foundation, our indicator integrates multiple entry conditions to generate more accurate buy and sell signals.
All conditions are fully configurable, allowing complete customization to fit your trading strategy.
⯁ WHAT IS THE RSI❓
The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend.
⯁ HOW TO USE THE RSI❓
The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:
Overbought: When the RSI is above 70, indicating that the asset may be overbought.
Oversold: When the RSI is below 30, indicating that the asset may be oversold.
Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions.
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND/OR .
📈 RSI Conditions:
🔹 RSI > Upper
🔹 RSI < Upper
🔹 RSI > Lower
🔹 RSI < Lower
🔹 RSI > Middle
🔹 RSI < Middle
🔹 RSI > MA
🔹 RSI < MA
📈 MA Conditions:
🔹 MA > Upper
🔹 MA < Upper
🔹 MA > Lower
🔹 MA < Lower
📈 Crossovers:
🔹 RSI (Crossover) Upper
🔹 RSI (Crossunder) Upper
🔹 RSI (Crossover) Lower
🔹 RSI (Crossunder) Lower
🔹 RSI (Crossover) Middle
🔹 RSI (Crossunder) Middle
🔹 RSI (Crossover) MA
🔹 RSI (Crossunder) MA
🔹 MA (Crossover) Upper
🔹 MA (Crossunder) Upper
🔹 MA (Crossover) Lower
🔹 MA (Crossunder) Lower
📈 RSI Divergences:
🔹 RSI Divergence Bull
🔹 RSI Divergence Bear
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND/OR .
📉 RSI Conditions:
🔸 RSI > Upper
🔸 RSI < Upper
🔸 RSI > Lower
🔸 RSI < Lower
🔸 RSI > Middle
🔸 RSI < Middle
🔸 RSI > MA
🔸 RSI < MA
📉 MA Conditions:
🔸 MA > Upper
🔸 MA < Upper
🔸 MA > Lower
🔸 MA < Lower
📉 Crossovers:
🔸 RSI (Crossover) Upper
🔸 RSI (Crossunder) Upper
🔸 RSI (Crossover) Lower
🔸 RSI (Crossunder) Lower
🔸 RSI (Crossover) Middle
🔸 RSI (Crossunder) Middle
🔸 RSI (Crossover) MA
🔸 RSI (Crossunder) MA
🔸 MA (Crossover) Upper
🔸 MA (Crossunder) Upper
🔸 MA (Crossover) Lower
🔸 MA (Crossunder) Lower
📉 RSI Divergences:
🔸 RSI Divergence Bull
🔸 RSI Divergence Bear
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
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Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : RSI Full
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy the Spell!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Leavitt Convolution ProbabilityTechnical Analysis of Markets with Leavitt Market Projections and Associated Convolution Probability
The aim of this study is to present an innovative approach to market analysis based on the research "Leavitt Market Projections." This technical tool combines one indicator and a probability function to enhance the accuracy and speed of market forecasts.
Key Features
Advanced Indicators : the script includes the Convolution line and a probability oscillator, designed to anticipate market changes. These indicators provide timely signals and offer a clear view of price dynamics.
Convolution Probability Function : The Convolution Probability (CP) is a key element of the script. A significant increase in this probability often precedes a market decline, while a decrease in probability can signal a bullish move. The Convolution Probability Function:
At each bar, i, the linear regression routine finds the two parameters for the straight line: y=mix+bi.
Standard deviations can be calculated from the sequence of slopes, {mi}, and intercepts, {bi}.
Each standard deviation has a corresponding probability.
Their adjusted product is the Convolution Probability, CP. The construction of the Convolution Probability is straightforward. The adjusted product is the probability of one times 1− the probability of the other.
Customizable Settings : Users can define oversold and overbought levels, as well as set an offset for the linear regression calculation. These options allow for tailoring the script to individual trading strategies and market conditions.
Statistical Analysis : Each analyzed bar generates regression parameters that allow for the calculation of standard deviations and associated probabilities, providing an in-depth view of market dynamics.
The results from applying this technical tool show increased accuracy and speed in market forecasts. The combination of Convolution indicator and the probability function enables the identification of turning points and the anticipation of market changes.
Additional information:
Leavitt, in his study, considers the SPY chart.
When the Convolution Probability (CP) is high, it indicates that the probability P1 (related to the slope) is high, and conversely, when CP is low, P1 is low and P2 is high.
For the calculation of probability, an approximate formula of the Cumulative Distribution Function (CDF) has been used, which is given by: CDF(x)=21(1+erf(σ2x−μ)) where μ is the mean and σ is the standard deviation.
For the calculation of probability, the formula used in this script is: 0.5 * (1 + (math.sign(zSlope) * math.sqrt(1 - math.exp(-0.5 * zSlope * zSlope))))
Conclusions
This study presents the approach to market analysis based on the research "Leavitt Market Projections." The script combines Convolution indicator and a Probability function to provide more precise trading signals. The results demonstrate greater accuracy and speed in market forecasts, making this technical tool a valuable asset for market participants.
2m + 15m 20T Trend Reversal SignalsCombination of my 2m and 15m 20T signals - created for my system and those who trade it, you won't find use in this indicator otherwise
Multi-Timeframe TRAMAs (1m-10m)Combines Luxalgo's 1m, 2m, 3m, 5m and 10m TRAMAs to be visible on any timeframe.
Created to pick targets on OBs near flat 200Ts, so that it's impossible to miss an exit signal.
Smoothed Heiken Ashi- HODL FLIP V2Smoothed Heiken Ashi - HODL FLIP V2:
Strategy Overview
The SHA HODL FLIP V2 strategy combines smoothed Heikin Ashi candles with a dual EMA approach to identify trend changes in cryptocurrency markets. Unlike traditional "HODL" (Hold On for Dear Life) strategies that only capture upside, this system aims to capture both upward and downward price movements by automatically "flipping" your entire position between long and short depending on the trend direction, allowing you to grow your holdings through complete market cycles.
Technical Approach
The strategy uses a unique two-layer smoothing method:
Primary smoothing: Calculates Heikin Ashi candles using a standard EMA (default: 14 periods)
Secondary smoothing: Further refines the signal by applying an additional EMA filter (default: 8 periods)
This double-smoothing technique reduces false signals and market noise, providing clearer trend identification. The strategy generates entry and exit signals when the color of the smoothed Heikin Ashi candles changes from red to green (long signal) or green to red (short signal).
Capital Allocation
This strategy is designed to utilize 100% of your available capital, effectively "flipping" your entire position between long and short positions as market trends change. Using 1x leverage for short positions keeps risk profile similar to holding spot positions.
Trade Management
Entry Logic: Enter long positions when smoothed HA candles turn green, and short positions when they turn red
Exit Logic: Manually exit your position when an opposing signal appears
Risk Management: Rather than using traditional stop-losses, the strategy relies on trend reversal signals to manage risk
Timeframe Selection
While the strategy can be applied to multiple timeframes, it typically performs best on daily, 2-day, and 3-day charts. Each cryptocurrency pair may have optimal timeframe settings, and backtesting is recommended to determine the most effective parameters for specific assets.
Performance Characteristics
The Smoothed Heiken Ashi HODL FLIP V2 strategy aims to outperform traditional buy-and-hold approaches by:
Capturing gains during bull markets (like traditional HODL)
Generating additional profits during downtrends (unlike traditional HODL)
Preserving capital during major market corrections
During trending markets (both up and down), the strategy tends to perform exceptionally well, generating substantial returns. As with most trend-following systems, performance may reduce during choppy, sideways markets, but the strategy is designed to quickly recover and generate excess profits once a clear trend reasserts itself.
Visualization
The strategy provides clear visual signals directly on your chart:
Green and red candles indicating the current trend direction
Triangular markers showing entry points
A blue horizontal line displaying your current entry price
This complete trading system offers a disciplined, systematic approach to cryptocurrency trading that aims to maximize returns throughout full market cycles rather than just during bull markets. Each asset has very unique settings so thorough backtesting is recommended instead of using 1 setting for all assets.
This is available in an Indicator version which can provide automatic connection to exchanges via webhooks and signal bots, so this can be a hands of strategy. It's called "Smoothed Heiken Ashi Candles with Delayed Signals" . The signals appear at the opening of the next bar, opposed to the close of the existing bar here. Essentially identical, but visually different buy 1 bar.
EMA + Supertrend (Clean)This script is designed to help traders visually identify the primary market trend using a combination of two Exponential Moving Averages (EMA50 and EMA200) and a reversed-color Supertrend indicator.
✅ Key Features:
EMA50 and EMA200 are plotted with dynamic coloring: green when EMA50 is above EMA200 (bullish), and red when EMA50 is below EMA200 (bearish).
Supertrend is plotted with reversed colors for better clarity: red during uptrends and green during downtrends — making cross-analysis easier.
A translucent background fill (green or red) highlights trend dominance based on EMA crossover.
Clean and minimal interface — no buy/sell signals, alerts, or TP/SL levels — ideal for traders who prefer to combine this with other indicators or price action analysis.
🔍 Best suited for swing traders and trend followers, especially on 4H and Daily timeframes. Helps you stay on the right side of the market without clutter.
⚠️ Note: This indicator is not financial advice. Always backtest and combine with your own strategy for best results.
Created by for the global TradingView community. Feel free to customize and build on top of it!
Bollinger Bands Strategy Direction & VWAP This is an updated version of classic Bollinger bands. It adds the VWAP line for reference but does not include the bands usually associated with that. It also allows for the turning on and off of longs or shorts, and limiting the duration of trades by the number of days with the default being set to 4(2 seems to be the optimal) I tested this against crypto currency perpetual markets and it consistently wins more than 60 percent of the trades against the majors ( BTC, ETH, SOL) but doesn't seems to do well against some small cap Alts. Id love to hear your feedback
MA Deviation// -----------------------------------------------------------------------------
// MA Deviation Marking & Alert (MA Divergence)
// -----------------------------------------------------------------------------
// Short Title: MA Deviation Radar
// Author: zhipeng luo
// Version: 1.0
// Date: 2025-04-11
// -----------------------------------------------------------------------------
// Overview:
// This indicator identifies and highlights price bars where the closing price
// deviates significantly from its Simple Moving Average (SMA) by a user-defined
// percentage. It visually marks these bars on the chart and provides
// configurable alert conditions for threshold breaches.
//
// How it Works:
// 1. Calculates the Simple Moving Average (SMA) based on the 'MA Period' input.
// 2. Computes the percentage deviation of the closing price from the SMA value.
// Formula: `((Close - SMA) / SMA) * 100`
// 3. Compares the calculated deviation percentage against the positive and
// negative 'Threshold (%)' input values.
// 4. Marks the background of the price bars when a threshold is exceeded:
// - Red Background: Price deviation is greater than the positive threshold.
// - Green Background: Price deviation is less than the negative threshold.
// 5. Includes an optional, non-visible plot of the MA line itself.
// 6. Offers three distinct alert conditions for automation and notifications.
//
// Features:
// - Customizable Simple Moving Average period.
// - Adjustable deviation threshold percentage.
// - Clear visual signals using background colors on the main chart.
// - Built-in Alert Conditions:
// - MA Positive Deviation Alert (Triggers when price > MA + Threshold %)
// - MA Negative Deviation Alert (Triggers when price < MA - Threshold %)
// - MA Deviation Alert - Any (Triggers on either positive or negative breach)
//
// How to Use:
// - Identify Potential Extremes: Useful for spotting potential overbought (large
// positive deviation) or oversold (large negative deviation) conditions
// which might precede price corrections or mean reversion.
// - Gauge Trend Extension: Extreme deviations can sometimes indicate that a
// trend is overextended and might be due for a pause or reversal.
// - Parameter Tuning: Adjust the 'MA Period' and '(Threshold %)' settings to
// suit the specific asset, timeframe, and volatility characteristics you
// are analyzing. Lower thresholds yield more signals; higher thresholds
// focus on more significant deviations.
// - Alerts: Set up alerts via the TradingView alert menu using the provided
// conditions ("MA Positive Deviation Alert", "MA Negative Deviation Alert",
// "MA Deviation Alert - Any") to get notified of potential setups.
//
// Parameters:
// - MA Period (Default: 200): The lookback period for the SMA calculation.
// - (Threshold %) (Default: 7.0): The percentage deviation (positive and
// negative) from the MA required to trigger a background signal and alert.
//
// Alerts & Important Note:
// Three alert conditions corresponding to the signals are available:
// 1. "MA Positive Deviation Alert"
// 2. "MA Negative Deviation Alert"
// 3. "MA Deviation Alert - Any"
//
// ***Please Note:*** The value shown after "( {{plot_0}}%)" or
// "( {{plot_0}}%)" in the default alert message refers to the
// **Moving Average value** (`plot_0`), not the actual deviation percentage.
// The alert *triggers correctly* based on the deviation percentage crossing
// the threshold, but the number displayed by the `{{plot_0}}` placeholder
// in the message is the MA's value at that time due to the script's
// internal plot order.
//
// Disclaimer: This indicator is provided for informational and analytical
// purposes only. It does not constitute financial advice or a recommendation
// to buy or sell any asset. Always conduct your own research and use proper
// risk management. Trading involves significant risk.
// -----------------------------------------------------------------------------
HHVL Filtre Göstergesi by @tanrisevdirIt is derived from a free Meta Stock formula which is written as a Moving Average. I changed the formula as a filter to increase correct signals for buy and sell strategies.
Estrategia XAUUSD - Confirmación SMA 200💰 Professional XAUUSD (Gold) Strategy | Confirmation + SMA 200 + Risk Management 💡
This script implements a precise and rigorous strategy for trading XAUUSD (Gold), focusing on reaction to key levels from the previous day, candle confirmations, and the main trend defined by the SMA 200 on the 4H timeframe.
🧠 Strategy Logic:
Automatic Levels: Marks the high and low of the previous day's candle.
15M Confirmations:
Bullish engulfing candle at support (previous day's low).
Bearish engulfing candle at resistance (previous day's high).
Pin bar with rejection.
Trend Filter with the 200 SMA on 4H:
Only buy if the price is above the 200 SMA.
Only sell if the price is below the 200 SMA.
Smart Risk Management:
By default, takes 1% of the capital entered as a parameter.
SL is placed at the most recent relevant high/low (15M).
TP with a fixed ratio of 1:10 or 1:15.
When a 1:5 ratio is reached, the SL is moved to the entry point automatically.
Alerts and Visualization:
Displays levels, entry points, SL, and TP.
Includes labels and key statistical calculations (win rate, profit factor, average R:B ratio).
EMA 9 / EMA 15 Buy-Sell Indicatorthis indicator is for scalping for xauusd gold and accurecy is 80% made more profits use it and earn more money
EMA Swing Strategy (No Patterns)// DESCRIPTION:
// This EMA Swing Strategy is built for short-term swing trades (2-3 days holding period) in volatile markets.
// It uses EMA 5, 10, 20, and 100 to identify momentum and trend alignment without relying on patterns, wicks, or pullbacks.
// The strategy looks for price crossing and holding above/below EMA 10 & 20 for mean reversion entries, with EMA 100 as a trend filter.
// Optional MACD histogram and ATR volatility filters can be toggled on or off for cleaner entries.
// Alerts are included for BUY/SELL signals, and the strategy is designed for high-speed, clean mechanical execution.
// Ideal for traders adapting to modern, fast-moving price action who prefer systemized logic over traditional chart reading.
Visualisation tendancesThis script allows you to visualize the current trend of a financial asset.
It has two colors:
- Green for bullish phases
- Red for bearish phases
This allows you to instantly position yourself in the direction of the trend.
It also integrates Bollinger Bands, a volatility indicator.
This allows you to display two different indicators in a single indicator.
RSI + MA + Divergence + SnR + Price levelOverview
This indicator combines several technical analysis tools to give traders a comprehensive view based on the RSI indicator. Its main features include:
RSI & Moving Averages on RSI:
RSI: Calculates the RSI based on the closing price (or a user-selected source) with a configurable period (default is 14).
EMA and WMA: Computes and plots an Exponential Moving Average (EMA with a period of 9) and a Weighted Moving Average (WMA with a period of 45) on the RSI, helping to smooth out signals and better identify trends.
Price Ladder Based on RSI:
Draws horizontal lines at specified target RSI levels (from targetRSI1 to targetRSI7, default levels ranging from 20 to 80).
Calculates a target price based on the price change relative to the averaged gains and losses, providing an estimated price level when the RSI reaches those critical levels.
Divergence Detection:
Identifies divergence between price and RSI:
Bullish Divergence: Detected when the price forms a lower low but RSI fails to confirm with a corresponding lower low, with the RSI falling under a configurable threshold (d_below).
Bearish Divergence: Detected when the price forms a higher high while the RSI does not, with the RSI exceeding a configurable upper threshold (d_upper).
Optionally displays labels on the chart to alert the trader when divergence signals are detected.
Auto Support & Resistance on RSI:
Automatically calculates and plots support and resistance lines based on the RSI over different lookback periods (e.g., 34, 89, 200 bars).
Helps traders identify key RSI levels where price reversals or breakouts might occur.
Benefits for the Trader
This indicator is designed to assist traders in their decision-making process by integrating multiple technical analysis elements:
Identifying Market Trends:
By combining the RSI with its moving averages (EMA, WMA), traders can better assess market trends and the strength of these trends, thereby improving trade entry accuracy.
Early Reversal Signals via Divergence:
Divergence signals (both bullish and bearish) can help forecast potential reversals in the market, allowing traders to adjust their strategies timely.
Determining RSI-Based Support/Resistance Levels:
Automatic identification of support and resistance levels on the RSI provides key areas where a price reversal or breakout may occur, assisting traders in setting stop-loss and take-profit levels strategically.
Price Target Forecasting with the Price Ladder:
The target price labels calculated at important RSI levels provide insights into potential price objectives, aiding in risk management and profit planning.
Flexible Configuration:
Traders can customize key parameters such as the RSI period, lengths for EMA and WMA, target RSI levels, divergence conditions, and support/resistance settings. This flexibility allows the indicator to adapt to different trading styles and strategies.
How to read data
Some use-cases
Used to estimate price according to the RSI level.
When you trade using RSI, you want to set your stop-loss or take-profit levels based on RSI. By looking at the price ladder, you know the corresponding price level to enter a trade.
Used to determine the entry zone.
RSI often reacts to its own previously established support/resistance levels. Use the Auto SnR feature to identify those zones.
Used to determine the trend.
RSI and its moving averages help identify the price trend:
Uptrend: 3 lines separate and point upward.
Downtrend: 3 lines separate and point downward.
Use WMA45 to determine the trend:
Uptrend: WMA45 is moving upward or trading above the 50 level.
Downtrend: WMA45 is moving downward or trading below the 50 level.
Sideways: WMA45 is trading around the 50 level.
Use EMA9 to confirm the trend: A crossover of EMA9 through WMA45 confirms the formation of a new trend.
Configuration
The script allows users to configure a number of important parameters to suit their analytical preferences:
RSI Settings:
RSI Length (rsiLengthInput): The number of periods used to compute the RSI (default is 14, adjustable as needed).
RSI Source (rsiSourceInput): Select the price source (default is the closing price).
RSI Color (rsiClr): The color used to display the RSI line.
Moving Averages on RSI:
EMA Length (emaLength): The period for calculating the EMA on RSI (default is 9).
WMA Length (wmaLength): The period for calculating the WMA on RSI (default is 45).
EMA Color (emaClr) and WMA Color (wmaClr): Customize the colors of the EMA and WMA lines.
Price Ladder Settings:
Toggle Price Ladder (showPrice): Enable or disable the display of the price ladder.
Target RSI Levels: targetRSI1 through targetRSI7: RSI values at which target prices are calculated (default values range from 20, 30, 40, 50, 60, 70 to 80).
Price Label Color (priceColor): The text color for displaying the target price labels.
Divergence Settings:
Divergence Toggle (calculateDivergence): Option to enable or disable divergence calculation and display.
Divergence Conditions:
d_below: RSI level below which bullish divergence is considered.
d_upper: RSI level above which bearish divergence is considered.
Display Divergence Labels (showDivergenceLabel): Option to display labels on the chart when divergence is detected.
Auto Support & Resistance on RSI:
Toggle Auto S&R (enableAutoSnR): Enable or disable automatic plotting of support and resistance levels.
Lookback Periods for Support/Resistance:
L1_lookback: Lookback period for level 1 (e.g., 34 bars).
L2_lookback: Lookback period for level 2 (e.g., 89 bars).
L3_lookback: Lookback period for level 3 (e.g., 200 bars).
Support and Resistance Colors:
rsiSupportClr: Color for the support line.
rsiResistanceClr: Color for the resistance line.
Alerts:
Divergence Alerts: Alert conditions are set up to notify the trader when bullish or bearish divergence is detected, aiding in timely decision-making.
