RSI - 5UP Overview
The "RSI - 5UP" indicator is a versatile tool that enhances the traditional Relative Strength Index (RSI) by adding smoothing options, Bollinger Bands, and divergence detection. It provides a clear visual representation of RSI levels with customizable bands and optional moving averages, helping traders identify overbought/oversold conditions and potential trend reversals through divergence signals.
Features
Customizable RSI: Adjust the RSI length and source to fit your trading style.
Overbought/Oversold Bands: Visualizes RSI levels with intuitive color-coded bands (red for overbought at 70, white for neutral at 50, green for oversold at 30).
Smoothing Options: Apply various types of moving averages (SMA, EMA, SMMA, WMA, VWMA) to the RSI, with optional Bollinger Bands for volatility analysis.
Divergence Detection: Identifies regular bullish and bearish divergences, with visual labels ("Bull" for bullish, "Bear" for bearish) and alerts.
G radient Fills: Highlights overbought and oversold zones with gradient fills (green for overbought, red for oversold).
How to Use
1. Add to Chart: Apply the "RSI - 5UP" indicator to any chart. It works well on timeframes from 5 minutes to daily.
2. Configure Settings:
RSI Settings:
RSI Length: Adjust the period for RSI calculation (default: 14).
Source: Choose the price source for RSI (default: close).
Calculate Divergence: Enable to detect bullish/bearish divergences (default: disabled).
Smoothing:
Type: Select the type of moving average to smooth the RSI ("None", "SMA", "SMA + Bollinger Bands", "EMA", "SMMA (RMA)", "WMA", "VWMA"; default: "SMA").
Length: Set the period for the moving average (default: 14).
BB StdDev: If "SMA + Bollinger Bands" is selected, adjust the standard deviation multiplier for the bands (default: 2.0).
3.Interpret the Indicator:
RSI Levels: The RSI line (purple) oscillates between 0 and 100. Levels above 70 (red band) indicate overbought conditions, while levels below 30 (green band) indicate oversold conditions. The 50 level (white band) is neutral.
Gradient Fills: The background gradients (green above 70, red below 30) highlight overbought and oversold zones for quick reference.
Moving Average (MA): If enabled, a yellow MA line smooths the RSI. If "SMA + Bollinger Bands" is selected, green bands appear around the MA to show volatility.
Divergences: If "Calculate Divergence" is enabled, look for "Bull" (green label) and "Bear" (red label) signals:
Bullish Divergence: Indicates a potential upward reversal when the price makes a lower low, but the RSI makes a higher low.
Bearish Divergence: Indicates a potential downward reversal when the price makes a higher high, but the RSI makes a lower high.
4. Set Alerts:
Use the "Regular Bullish Divergence" and "Regular Bearish Divergence" alert conditions to be notified when a divergence is detected.
Notes
The indicator does not provide direct buy/sell signals. Use the RSI levels, moving averages, and divergence signals as part of a broader trading strategy.
Divergence detection requires the "Calculate Divergence" option to be enabled and may not work on all timeframes or assets due to market noise.
The Bollinger Bands are only visible when "SMA + Bollinger Bands" is selected as the smoothing type.
Credits
Developed by Marrulk. Enjoy trading with RSI - 5UP! 🚀
Komut dosyalarını "bear" için ara
Quantum Flow Navigator @DaviddTechQuantum Flow Navigator – DaviddTech
Precision Strategy Builder Powered by Adaptive Filters, Statistical Noise Reduction & Multi-Modal Confirmation
🚀 Bullish Signal : Enter when ALMA, FluxWave, and QuickSilver all confirm bullish trend, with high volume and valid noise filter state.
🔻 Bearish Signal : Enter short when all components align bearishly and filters validate the signal.
🚪 Exit : Automatically managed by dynamic SL/TP or indicator-based reversal logic.
✅ Overview & DaviddTech Methodology
Quantum Flow Navigator is an advanced, multi-component trading system engineered around the strict modular logic of the DaviddTech methodology .
It integrates every core component required for a fully rule-based and signal-driven strategy—baseline, confirmations, volume filter, exit system, and noise filter.
Designed for traders who demand structure, clarity, and data-backed decision-making on 15M, 1H, and 4H charts.
🔍 Indicator Components
Baseline: Adaptive ALMA Filter
Smooth and responsive dynamic trend detection, with momentum validation and optional filled zones for enhanced visual feedback.
Confirmation #1: FluxWave Oscillator
Developed from an enhanced Trendlio concept by @dudeowns , FluxWave uses ALMA-smoothed rate-of-change logic with configurable signal behavior.
Confirmation #2: QuickSilver Band System
Custom breakout engine that maps volatility envelopes using multi-layered deviation bands for clear confirmation of structure breaks and trend direction.
Volume Filter: Normalized Volume Energy
Innovative volume filter inspired by @ceyhun 's work. Filters trades by classifying energy into High, Normal, or Low based on normalized volume context.
Exit System: Dynamic Momentum Stop Loss
Choose from Smart Adaptive, Trailing, Stepped, Percentage, ATR, or Volatility-adjusted logic. Supports TP via risk/reward, ATR multiples, or percentage targets.
Noise Filtration: Quantum Statistical Noise Reduction
Fuses Kalman smoothing with wavelet decomposition to eliminate non-signal noise and improve trade quality and confidence.
🎨 Visual System & Dashboard
🚀/🔻/🚪 Emoji Labels : Buy, sell, and exit trades clearly marked for instant recognition.
Color-Shifting Bars : Reflect FluxWave’s trend bias in real-time.
ALMA Fill Zone : Visual trend envelope between price and ALMA baseline.
QuickSilver Bands : Volatility envelopes with graduated depth for support/resistance awareness.
SL & TP Visuals : Dynamic stop-loss and take-profit zones plotted directly on chart.
Navigator Panel : In-chart dashboard displays real-time trend status, volume energy, noise filter state, signal strength, and active position tracking.
📈 How to Trade with It
Entry Mode Selection : Choose between Combined, ALMA, FluxWave, QuickSilver, or Custom scoring logic.
Final Signals : Trigger only when confirmations align, volume energy is valid, and noise is low.
Dashboard Summary : Use real-time signal display to validate entry strength.
Timeframes : 15M–1H recommended for swing/intraday setups; 5M–15M for automation.
💡 Advanced Features
Entry Strength Scoring: Composite weight of all active components + filters.
Cooldown System: Limits excessive signals in volatile periods.
Multiple Exit Strategies: SL & TP modes with optional indicator-based exits.
Statistical Filtering: Wavelet + Kalman combination optimizes entry confidence.
Full Alert Suite: Covers entries, exits, filter triggers, volume states, and more.
🧠 Suggested Strategy Usage
Wait for full confirmation from ALMA, FluxWave, and QuickSilver.
Ensure volume energy is High and noise filter confirms trend clarity.
Use adaptive SL/TP or indicator-based exits.
Monitor dashboard for live signal strength ≥ threshold.
Use “Balanced” mode for general use; switch to “Aggressive” for tighter signals.
📝 Credits & Originality
Concept based on DaviddTech’s component-driven methodology .
FluxWave Oscillator built as an evolved version of Trendlio with full signal customization — credit @dudeowns .
Volume Energy Filter adapted from the work of @ceyhun .
Noise filtration and system architecture developed independently using Pine Script v6.
All code and logic is original, non-rehashed, and completely refactored to ensure uniqueness.
Quantum Flow Navigator fuses adaptive baselines, confirmation logic, energy-based filters, and statistical refinement into a precision signal engine—optimized for traders who value structure, clarity, and control.
DoppelLibLibrary "DoppelLib"
getDailyClose(offset)
Returns the daily close for a specific offset.
For each offset value (from 1 to 21), the function uses a static request.security() call
to retrieve the daily close from the previous day at the specified offset.
Parameters:
offset (int) : (int) The offset value (from 1 to 21) representing the desired close value.
Returns: (float) The daily close for the specified offset or na if offset is out of range.
isVolumeAboveThreshold(vol, mediaPeriod, thresholdPercent)
Checks if the current volume is above the threshold based on its moving average.
The threshold is calculated as the average volume plus a percentage increment.
Parameters:
vol (float) : (series float) The volume series (e.g. the chart volume).
mediaPeriod (int) : (int) The period for calculating the moving average.
thresholdPercent (float) : (float) The percentage to add to the average for the threshold.
Returns: (bool) True if the volume exceeds the threshold, false otherwise.
calcPvsra(pvsraVolume, pvsraHigh, pvsraLow, pvsraClose, pvsraOpen, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, darkGreyCandleColor, lightGrayCandleColor)
Calculates the PVSRA candle color, determines if a vector candle has appeared,
and returns additional support parameters (average volume, volume spread, highest volume spread).
- "High" (Climax): volume >= 200% of the average OR (volume * candle spread) >= highest spread over the previous 10 bars.
-> Bull candle: green; Bear candle: red.
- "Medium": volume >= 150% of the average.
-> Bull candle: blue; Bear candle: violet.
- Otherwise, default (non-vector) candle colors are used.
Parameters:
pvsraVolume (float) : (series float) Volume series.
pvsraHigh (float) : (series float) High price series.
pvsraLow (float) : (series float) Low price series.
pvsraClose (float) : (series float) Close price series.
pvsraOpen (float) : (series float) Open price series.
redVectorColor (simple color) : (simple color) Color for bearish candle in high scenario.
greenVectorColor (simple color) : (simple color) Color for bullish candle in high scenario.
violetVectorColor (simple color) : (simple color) Color for bearish candle in medium scenario.
blueVectorColor (simple color) : (simple color) Color for bullish candle in medium scenario.
darkGreyCandleColor (simple color) : (simple color) Color for bearish candle in non-vector situation.
lightGrayCandleColor (simple color) : (simple color) Color for bullish candle in non-vector situation.
Returns: (tuple) A tuple containing: .
Deadzone Pro @DaviddTechDeadzone Pro by @DaviddTech – Adaptive Multi-Strategy NNFX Trading System
Deadzone Pro by @DaviddTech is a meticulously engineered trading indicator that strictly adheres to the No-Nonsense Forex (NNFX) methodology. It integrates adaptive trend detection, dual confirmation indicators, advanced volatility filtering, and dynamic risk management into one powerful, visually intuitive system. Ideal for traders seeking precision and clarity, this indicator consistently delivers high-probability trade setups across all market conditions.
🔥 Key Features:
The Setup:
Adaptive Hull Moving Average Baseline: Clearly identifies trend direction using an advanced, gradient-colored Hull MA that intensifies based on trend strength, providing immediate visual clarity.
Dual Confirmation Indicators: Combines Waddah Attar Explosion (momentum detector) and Bull/Bear Power (strength gauge) for robust validation, significantly reducing false entries.
Volatility Filter (ADX): Ensures entries are only made during strong trending markets, filtering out weak, range-bound scenarios for enhanced trade accuracy.
Dynamic Trailing Stop Loss: Implements a SuperTrend-based trailing stop using adaptive ATR calculations, managing risk effectively while optimizing exits.
Dashboard:
💎 Gradient Visualization & User Interface:
Dynamic gradient colors enhance readability, clearly indicating bullish/bearish strength.
Comprehensive dashboard summarizes component statuses, real-time market sentiment, and entry conditions at a glance.
Distinct and clear buy/sell entry and exit signals, with adaptive stop-loss levels visually plotted.
Candlestick coloring based on momentum signals (Waddah Attar) for intuitive market reading.
📈 How to Interpret Signals:
Bullish Signal: Enter when Hull MA baseline trends upward, both confirmation indicators align bullish, ADX indicates strong trend (>25), and price breaks above the previous trailing stop.
Bearish Signal: Enter short or exit long when Hull MA baseline trends downward, confirmations indicate bearish momentum, ADX confirms trend strength, and price breaks below previous trailing stop.
📊 Recommended Usage:
Timeframes: Ideal on 1H, 4H, and Daily charts for swing trading; effective on shorter (5M, 15M) charts for day trading.
Markets: Compatible with Forex, Crypto, Indices, Stocks, and Commodities.
The Entry & Exit:
🎯 Trading Styles:
Choose from three distinct trading modes:
Conservative: Requires full alignment of all indicators for maximum accuracy.
Balanced (Default): Optimized balance between signal frequency and reliability.
Aggressive: Fewer confirmations needed for more frequent trading signals.
📝 Credits & Originality:
Deadzone Pro incorporates advanced concepts inspired by:
Hull Moving Average by @Julien_Eche
Waddah Attar Explosion by @LazyBear
Bull Bear Power by @Pinecoders
ADX methodology by @BeikabuOyaji
This system has been significantly refactored and enhanced by @DaviddTech to maximize synergy, clarity, and usability, standing apart distinctly from its original components.
Deadzone Pro exemplifies precision and discipline, aligning fully with NNFX principles to provide traders with a comprehensive yet intuitive trading advantage.
Multi-Timeframe S/R & Breakout Projection1) What This Script Does
Collects S/R levels from the 15-minute and 1-hour timeframes, using each timeframe’s pivot detection.
Sorts those pivot-based levels by their distance from the current price, so you see the nearest levels first.
Draws up to a user-defined number of those levels as horizontal rays on the current chart.
Checks breakouts at the nearest S/R line (the one with the smallest distance from price):
Real Breakout: price breaks above a level and sustains above it for the specified number of bars.
False Breakout: price breaks above but quickly closes back below within the specified lookback.
On confirmation of a real or false breakout, that S/R line changes color to green if price is going higher, or red if price is going lower.
Displays a small table in the corner with:
Daily Trend: bullish or bearish, using an SMA on a 30-minute timeframe.
Sentiment: bullish or bearish, using RSI on the same 30-minute timeframe.
2) How It Works
Multi-Timeframe Pivot Detection
The script uses request.security() to fetch pivot highs/lows from two higher timeframes (15m and 60m).
It collects up to a user-specified number of these pivots (numRecent) from each TF.
Sorting & Plotting S/R Lines
Once pivot values are gathered, the script calculates their “distance” from current price.
It sorts them so that the S/R lines drawn on your chart are the nearest ones first.
Each line is drawn with a color and style you can customize:
srRayColor sets the overall color (e.g. yellow).
srRayStyleOptions can be Solid, Dashed, or Dotted.
Breakout Determination
After drawing the lines, the script looks at the nearest line and applies two specialized checks (f_isFalseBreakout & f_isRealBreakout):
A real breakout occurs if price closes above (or below) and remains on that side for breakLook bars.
A false breakout occurs if price closes above (or below) but quickly returns.
When a breakout is confirmed, that nearest line changes color to:
Green if price is ultimately going up,
Red if price is going down.
Daily Trend & Sentiment Table
A small table in the bottom-right corner shows:
Daily Trend: uses a 30-minute SMA to see if your price is above/below on that timeframe.
Sentiment: uses the RSI (also on 30m). A value over 50 suggests bullish sentiment; under 50 suggests bearish.
3) How to Use It
Timeframes & Pivots
Choose how many pivots (numRecent) from each TF to fetch (up to 10 total). A higher number means you’ll see more historical S/R lines.
Customize pivotLeft & pivotRight for how “wide” the pivot detection is.
Line Customization
In the script’s Inputs tab, you’ll find:
S/R Rays Color – sets the hue of the lines.
S/R Line Style – pick from Solid, Dashed, or Dotted.
Liquidity Lines Color – color for the smaller pivot lines from your chart timeframe’s pivot detection.
Breakout Lookback
breakLook determines how many bars must confirm or refute the breakout. Adjust it based on how conservative or aggressive you want the breakout detection.
Check the Table
In the bottom-right, watch the script’s “Daily Trend” & “Sentiment”. This can be a quick filter for trades:
“Bullish” daily trend with a bullish sentiment is often more favorable for long trades.
Conversely, “Bearish” daily trend & sentiment can confirm short ideas.
Scenarios
If you see a “Real Breakout” label near the line, the script recolors that line green or red, indicating a possible continuous move.
A “False Breakout” label suggests the price has quickly retraced.
4) Originality & Concepts
Multi-Timeframe Approach: Many S/R indicators fetch only local pivot lines; here, we explicitly gather pivot points from two separate TFs (15m & 60m) and project them onto your lower timeframe chart.
Distance-Based Sorting ensures you only see the nearest lines on the chart, preventing clutter from excessive lines.
Breakout Logic used is straightforward but effective: it checks if price truly holds beyond a level (real breakout) or fails to hold (false breakout).
Line Recoloring provides immediate visual feedback on the success or failure of the breakout.
5) Chart Usage
Plot this script on a relatively low timeframe chart (like the 1m, 5m, or 15m) to see the higher timeframe S/R lines.
Select how many S/R lines you want to show, choose the line style, set your pivot detection parameters, then watch for breakouts.
Tips:
Start with fewer lines (maxLevels=3 or 5) so the chart remains clear.
You can experiment with a small breakLook if you want more immediate breakout signals, or a higher breakLook if you need stronger confirmation.
Enjoy using the “Multi-Timeframe S/R & Breakout Projection” script! It simplifies the manual process of spotting higher timeframe pivot lines and helps you quickly assess potential breakouts or fakes on your intraday charts, all while giving you a snapshot of the higher timeframe’s trend and sentiment.
Multitimeframe Fair Value Gap – FVG (Zeiierman)█ Overview
The Multitimeframe Fair Value Gap – FVG (Zeiierman) indicator provides a dynamic and customizable visualization of institutional imbalances (Fair Value Gaps) across multiple timeframes. Built for traders who seek to analyze price inefficiencies, this tool helps highlight potential entry points, unmitigated gaps, and directional bias using smart volume logic and adaptive visual elements.
A Fair Value Gap (FVG) forms when there's a three-candle sequence in which a market imbalance leaves a "gap" between the wicks of candle 1 and candle 3. These areas are often considered footprints of institutional activity, and this indicator gives you the tools to track them with surgical precision across any timeframe you choose—regardless of the one you're viewing.
This indicator also includes a trend filter powered by a low-pass Butterworth filter, enabling traders to distinguish between countertrend vs. trend-aligned FVGs for more intelligent decision-making. On top of that, it features a dynamic FVG table for live tracking and bull/bear volume power visualization inside each gap, adding powerful clarity to market intent.
█ How It Works
The indicator analyzes the open, high, low, close, and volume of candles from a user-selected timeframe. It identifies Fair Value Gaps based on wick logic and only confirms those that meet customizable strength criteria. Once detected, the indicator visualizes each FVG with dynamically extending boxes, optional buy/sell volume bars, and a real-time mitigation check.
⚪ Multitimeframe Logic
Users can analyze FVGs from a higher or lower timeframe regardless of their current chart.
This is achieved using request.security() to fetch OHLCV data from the chosen timeframe.
⚪ Wick Sensitivity & Impulse Filter
The script measures the wick size of potential FVG candles and compares them to a running average. Only FVGs with wick sizes above a certain sensitivity threshold (user-controlled) are plotted. This ensures only meaningful price dislocations (e.g., strong impulsive moves) are shown, reducing noise.
⚪ Midpoint Mitigation Logic
FVGs are marked as "mitigated" when the price revisits the gap area. Traders can choose whether full gap closure or just a midpoint touch is required. This allows faster reactivity in real-time trading environments.
⚪ Bull & Bear Power – Volume-Weighted Visualization
Every Fair Value Gap box includes sub-bars representing the estimated buy and sell effort that created the gap. These are calculated using the candle's close in relation to its high/low range and volume:
Buy Volume % ≈ effort from low to close
Sell Volume % ≈ effort from high to close
Each sub-bar inside the FVG:
Is color-coded (UpCol for bullish, DnCol for bearish)
Is drawn proportionally to the strength of buyers or sellers
Visually displays who was in control during the imbalance
⚪ FVG Table – Dynamic On-Chart Overview
The indicator includes an optional on-chart table that displays all currently active (unmitigated) FVGs in a side panel format:
Automatic updates as gaps are formed and mitigated
Color-coded rows to show bullish vs. bearish FVGs
Timestamps to know precisely when the gap formed
User-controlled position via Table Left and Table Right
This is a gap watchlist overlay, giving traders a concise view of current inefficiencies without manually scanning the chart.
⚪ FVG Trend Filter (Butterworth Smoother)
Using a two-pole Butterworth low-pass filter, the indicator computes a trendline based on average FVG values, offering a smooth but responsive directional signal.
Passband Ripple (dB): Controls sensitivity and overshoot tolerance
Cutoff Frequency (0–0.5): Sets how quickly the trendline reacts
The trendline helps categorize each FVG:
Trend up → favor bullish FVGs
Trend down → favor bearish FVGs
It adds an extra dimension to FVG entries, helping distinguish between trend-aligned and countertrend signals.
█ How to Use
⚪ Identify Institutional Gaps
Use this tool to identify areas where institutions may have left imbalances behind quickly.
These areas often become:
Strong support/resistance zones
Areas where price might react sharply
Targets for liquidity sweeps or retracements
⚪ React to Trend or Countertrend
The built-in trendline helps categorize each FVG:
Trend up → Bullish FVGs have higher validity
Trend down → Bearish FVGs have higher validity
⚪ Volume Context via Bull/Bear Power
Each Fair Value Gap is more than just a price imbalance — it’s a story of effort and intent. The Bull/Bear Power feature visualizes the buy and sell pressure behind each FVG, helping you understand how the gap was formed and who was in control.
A bullish FVG with a strong buy effort suggests continuation potential — buyers dominated the move.
A bullish FVG with a dominant sell effort could signal a trap or reversal — sellers may have overwhelmed the breakout.
These insights allow you to confirm imbalance strength, spot traps early, and add confidence to entries based on dominant volume profiles.
Instead of viewing gaps as static zones, this feature turns each into a live volume map — a visual breakdown of who moved the market and whether that move had conviction.
⚪ Plan with the FVG Table
The FVG Table acts as your on-chart control center for tracking active imbalances. When enabled, it provides a clear summary of all unmitigated Fair Value Gaps, helping you stay organized and focused during fast-moving sessions.
Track live and historical gaps: See exactly when and where each FVG formed.
Monitor older, still-valid zones: Gaps off-screen but not mitigated remain in play — perfect for anticipating future reactions.
Gauge market bias at a glance: The balance of bullish vs. bearish FVGs helps you understand overall directional pressure.
Plan entries confidently: Use the table to reference all zones for risk management, confluence stacking, or layered execution strategies.
Instead of manually scanning your chart, the FVG Table offers a clean, at-a-glance overview of the market’s inefficiencies — giving you the structure needed to act with precision.
█ Settings
FVG Timeframe
Select any timeframe to source FVGs independent of your current chart.
Sensitivity
Filter FVGs by how impulsive the move is — it helps you eliminate weak gaps.
Mitigated on Mid
Control whether gaps are removed at midpoint touch or full fill.
Table Settings
Control the table position and width. Cleanly view all active FVGs.
FVG Style
Customize gap box colors, length, and bullish/bearish overlays.
Trend Filter
Enable or disable the smoothed FVG-based trendline with customizable smoothing controls.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Money Flow Oscillator [BullByte]
Overview :
The Money Flow Oscillator is a versatile technical analysis tool designed to provide traders with insights into market momentum through the Money Flow Index (MFI). By integrating trend logic, dynamic support/resistance levels, multi-timeframe analysis, and additional indicators like ADX and Choppiness, this script delivers a detailed view of market conditions and signal strength—all while adhering to TradingView’s publication guidelines.
Key Features :
Money Flow Analysis :
Uses the MFI to assess buying and selling pressure, helping traders gauge market momentum.
Trend Switch Logic :
Employs ATR-based calculations to determine trend direction. The background color adjusts dynamically to signal bullish or bearish conditions, and a prominent center line changes color to reflect the prevailing trend.
Dynamic Support/Resistance :
Calculates oscillator support and resistance over a pivot lookback period. These levels help you identify potential breakouts or reversals as the MFI moves above or below prior levels.
Signal Metrics & Classifications :
Combines MFI values with additional metrics to classify signals into categories such as “Strong Bullish,” “Bullish,” “Bearish,” or “Strong Bearish.” An accompanying note provides details on momentum entry and overall signal strength.
Multi-Timeframe Order Flow Confirmatio n:
Analyzes the MFI on a higher timeframe to confirm order flow. This extra layer of analysis helps verify the short-term signals generated on your primary chart.
Volume and ADX Integration :
Incorporates volume analysis and a manual ADX calculation to further validate signal strength and trend stability. A dashboard displays these metrics for quick reference.
Choppiness Indicator :
Includes a choppiness index to determine if the market is trending or choppy. When the market is identified as choppy, the script advises caution by adjusting the overall signal note.
Comprehensive Dashboard :
A built-in dashboard presents key metrics—including ADX, MFI, order flow, volume score, and support/resistance details—allowing you to quickly assess market conditions at a glance.
How to Use :
Trend Identification : Monitor the dynamic background and center line colors to recognize bullish or bearish market conditions.
Signal Confirmation : Use the oscillator support/resistance levels along with the signal classifications and dashboard data to make informed entry or exit decisions.
Multi-Timeframe Analysis : Validate short-term signals with the higher timeframe MFI order flow confirmation.
Risk Management : Always combine these insights with your own risk management strategy and further analysis.
Disclaimer :
This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Always perform your own analysis and use proper risk management before making any trading decisions. Past performance is not indicative of future results.
Trendline Breakout Navigator [LuxAlgo]The Trendline Breakout Navigator indicator shows three trendlines, representing trends of different significance between Swing Points.
Dots highlight a Higher Low (HL) or Lower High (LH) that pierces through the Trendline without the closing price breaking the Trendline.
A bar color and background color option is included, which offers insights into the price against the trendlines.
🔶 USAGE
Trendlines (TL) are drawn, starting as a horizontal line from a Swing Point.
When an HL (in the case of a bullish TL) or an LH (bearish TL) is found, this Swing Point is connected to the first Swing Point. In both cases, the TL can be optimized when one or more historical close prices breach the TL (see DETAILS).
A solid-styled long-term trendline represents the overall market direction, while a dashed-styled medium-term trendline captures medium-term movements within the long-term trend. Finally, a dotted-styled short-term trendline tracks short-term fluctuations.
🔹 Swing Points vs. Trend
A "Higher High" (HH) or "Lower Low" (LL) will initialize a new trendline, respectively, starting from the previous "Swing Low" or Swing High".
To spot the trend shift, "HH/LL" labels and an optional background color are included. They can be enabled/disabled or set at "Long, Medium, or Short" term TL (Settings—"MS", "HH/LL" and "Background Color").
These features are linked to one Trendline of choice only.
Where the "HH/LL" labels can show a potential trend shift, the background color is:
Green from the moment the close price breaks above a bearish trendline or when an HH occurs
Red from the moment the close price breaks below a bullish trendline or when an LL occurs
🔹 Bar Color
The bar color will depend on the location of the closing price against the three trendlines. When a trendline is unavailable (for example, if the close price breaks the TL and there is no HH/LL), the last known trendline value will be considered.
All three trendlines influence the bar color.
If the close price is above the "Long Term" TL, the bar color will show a gradient of green, darker when the close price is below the "Medium Term" and/or "Short Term" TLs.
On the other hand, when the close price is below the "Long Term" TL, the bar color will show a gradient of red, which becomes darker when the close price is above the "Medium Term" and/or "Short Term" TLs.
To keep the above example simple, only the "Long Term" TL is considered. The white line (not included in the script) resembles the actual value of the TL at each bar, where you can see the effect on the bar color.
Combined with the trendlines and dots, the bar color can provide extra depth and insights into the underlying trends.
🔹 Tested Trendlines
If a new HL/LH pierces the Trendline without the close price breaking the Trendline, the Trendline will be updated.
The exact location where the price exceeded the Trendline is visualized by a dot, colored blue on a bullish trendline and orange when bearish.
These dots can be indicative of a potential trend continuation or reversal.
🔹 Higher TimeFrame Option
The "Period" setting enables users to visualize higher-timeframe trendlines as long as the line length doesn't exceed 5000 bars.
🔶 DETAILS
When a new trendline is drawn, the script first draws a preliminary line and then checks whether a historical close price exceeded this line above (in the case of a bearish TL) or below (in a bullish case).
Subsequently, the most valid point in between is chosen as the starting point of the Trendline.
🔶 SETTINGS
Period: Choose "chart" for trendlines from the current chart timeframe, or choose a higher timeframe
🔹 Swing Length
Toggle and Swing Length for three trendlines: Period used for the swing detection, with higher values returning longer-term Swing Levels.
🔹 Style
Trendline: color for bullish/bearish Trendline
Wick Dot: color for bullish/bearish trendline test
Term: Long-, medium- or short-term
HH/LL: Show HH/LL labels (with or without previous Swing High/Low) of chosen Term
Background Color: Green when the closing price is above the trendline of choice, red otherwise
Bar Color
Uptrick: Z-Score FlowOverview
Uptrick: Z-Score Flow is a technical indicator that integrates trend-sensitive momentum analysi s with mean-reversion logic derived from Z-Score calculations. Its primary objective is to identify market conditions where price has either stretched too far from its mean (overbought or oversold) or sits at a statistically “normal” range, and then cross-reference this observation with trend direction and RSI-based momentum signals. The result is a more contextual approach to trade entry and exit, emphasizing precision, clarity, and adaptability across varying market regimes.
Introduction
Financial instruments frequently transition between trending modes, where price extends strongly in one direction, and ranging modes, where price oscillates around a central value. A simple statistical measure like Z-Score can highlight price extremes by comparing the current price against its historical mean and standard deviation. However, such extremes alone can be misleading if the broader market structure is trending forcefully. Uptrick: Z-Score Flow aims to solve this gap by combining Z-Score with an exponential moving average (EMA) trend filter and a smoothed RSI momentum check, thus filtering out signals that contradict the prevailing market environment.
Purpose
The purpose of this script is to help traders pinpoint both mean-reversion opportunities and trend-based pullbacks in a way that is statistically grounded yet still mindful of overarching price action. By pairing Z-Score thresholds with supportive conditions, the script reduces the likelihood of acting on random price spikes or dips and instead focuses on movements that are significant within both historical and current contextual frameworks.
Originality and Uniquness
Layered Signal Verification: Signals require the fulfillment of multiple layers (Z-Score extreme, EMA trend bias, and RSI momentum posture) rather than merely breaching a statistical threshold.
RSI Zone Lockout: Once RSI enters an overbought/oversold zone and triggers a signal, the script locks out subsequent signals until RSI recovers above or below those zones, limiting back-to-back triggers.
Controlled Cooldown: A dedicated cooldown mechanic ensures that the script waits a specified number of bars before issuing a new signal in the opposite direction.
Gradient-Based Visualization: Distinct gradient fills between price and the Z-Mean line enhance readability, showing at a glance whether price is trading above or below its statistical average.
Comprehensive Metrics Panel: An optional on-chart table summarizes the Z-Score’s key metrics, streamlining the process of verifying current statistical extremes, mean levels, and momentum directions.
Why these indicators were merged
Z-Score measurements excel at identifying when price deviates from its mean, but they do not intrinsically reveal whether the market’s trajectory supports a reversion or if price might continue along its trend. The EMA, commonly used for spotting trend directions, offers valuable insight into whether price is predominantly ascending or descending. However, relying solely on a trend filter overlooks the intensity of price moves. RSI then adds a dedicated measure of momentum, helping confirm if the market’s energy aligns with a potential reversal (for example, price is statistically low but RSI suggests looming upward momentum). By uniting these three lenses—Z-Score for statistical context, EMA for trend direction, and RSI for momentum force—the script offers a more comprehensive and adaptable system, aiming to avoid false positives caused by focusing on just one aspect of price behavior.
Calculations
The core calculation begins with a simple moving average (SMA) of price over zLen bars, referred to as the basis. Next, the script computes the standard deviation of price over the same window. Dividing the difference between the current price and the basis by this standard deviation produces the Z-Score, indicating how many standard deviations the price is from its mean. A positive Z-Score reveals price is above its average; a negative reading indicates the opposite.
To detect overall market direction, the script calculates an exponential moving average (emaTrend) over emaTrendLen bars. If price is above this EMA, the script deems the market bullish; if below, it’s considered bearish. For momentum confirmation, the script computes a standard RSI over rsiLen bars, then applies a smoothing EMA over rsiEmaLen bars. This smoothed RSI (rsiEma) is monitored for both its absolute level (oversold or overbought) and its slope (the difference between the current and previous value). Finally, slopeIndex determines how many bars back the script compares the basis to check whether the Z-Mean line is generally rising, falling, or flat, which then informs the coloring scheme on the chart.
Calculations and Rational
Simple Moving Average for Baseline: An SMA is used for the core mean because it places equal weight on each bar in the lookback period. This helps maintain a straightforward interpretation of overbought or oversold conditions in the context of a uniform historical average.
Standard Deviation for Volatility: Standard deviation measures the variability of the data around the mean. By dividing price’s difference from the mean by this value, the Z-Score can highlight whether price is unusually stretched given typical volatility.
Exponential Moving Average for Trend: Unlike an SMA, an EMA places more emphasis on recent data, reacting quicker to new price developments. This quicker response helps the script promptly identify trend shifts, which can be crucial for filtering out signals that go against a strong directional move.
RSI for Momentum Confirmation: RSI is an oscillator that gauges price movement strength by comparing average gains to average losses over a set period. By further smoothing this RSI with another EMA, short-lived oscillations become less influential, making signals more robust.
SlopeIndex for Slope-Based Coloring: To clarify whether the market’s central tendency is rising or falling, the script compares the basis now to its level slopeIndex bars ago. A higher current reading indicates an upward slope; a lower reading, a downward slope; and similar readings, a flat slope. This is visually represented on the chart, providing an immediate sense of the directionality.
Inputs
zLen (Z-Score Period)
Specifies how many bars to include for computing the SMA and standard deviation that form the basis of the Z-Score calculation. Larger values produce smoother but slower signals; smaller values catch quick changes but may generate noise.
emaTrendLen (EMA Trend Filter)
Sets the length of the EMA used to detect the market’s primary direction. This is pivotal for distinguishing whether signals should be considered (price aligning with an uptrend or downtrend) or filtered out.
rsiLen (RSI Length)
Defines the window for the initial RSI calculation. This RSI, when combined with the subsequent smoothing EMA, forms the foundation for momentum-based signal confirmations.
rsiEmaLen (EMA of RSI Period)
Applies an exponential moving average over the RSI readings for additional smoothing. This step helps mitigate rapid RSI fluctuations that might otherwise produce whipsaw signals.
zBuyLevel (Z-Score Buy Threshold)
Determines how negative the Z-Score must be for the script to consider a potential oversold signal. If the Z-Score dives below this threshold (and other criteria are met), a buy signal is generated.
zSellLevel (Z-Score Sell Threshold)
Determines how positive the Z-Score must be for a potential overbought signal. If the Z-Score surpasses this threshold (and other checks are satisfied), a sell signal is generated.
cooldownBars (Cooldown (Bars))
Enforces a bar-based delay between opposite signals. Once a buy signal has fired, the script must wait the specified number of bars before registering a new sell signal, and vice versa.
slopeIndex (Slope Sensitivity (Bars))
Specifies how many bars back the script compares the current basis for slope coloration. A bigger slopeIndex highlights larger directional trends, while a smaller number emphasizes shorter-term shifts.
showMeanLine (Show Z-Score Mean Line)
Enables or disables the plotting of the Z-Mean and its slope-based coloring. Traders who prefer minimal chart clutter may turn this off while still retaining signals.
Features
Statistical Core (Z-Score Detection):
This feature computes the Z-Score by taking the difference between the current price and the basis (SMA) and dividing by the standard deviation. In effect, it translates price fluctuations into a standardized measure that reveals how significant a move is relative to the typical variation seen over the lookback. When the Z-Score crosses predefined thresholds (zBuyLevel for oversold and zSellLevel for overbought), it signals that price could be at an extreme.
How It Works: On each bar, the script updates the SMA and standard deviation. The Z-Score is then refreshed accordingly. Traders can interpret particularly large negative or positive Z-Score values as scenarios where price is abnormally low or high.
EMA Trend Filter:
An EMA over emaTrendLen bars is used to classify the market as bullish if the price is above it and bearish if the price is below it. This classification is applied to the Z-Score signals, accepting them only when they align with the broader price direction.
How It Works: If the script detects a Z-Score below zBuyLevel, it further checks if price is actually in a downtrend (below EMA) before issuing a buy signal. This might seem counterintuitive, but a “downtrend” environment plus an oversold reading often signals a potential bounce or a mean-reversion play. Conversely, for sell signals, the script checks if the market is in an uptrend first. If it is, an overbought reading aligns with potential profit-taking.
RSI Momentum Confirmation with Oversold/Overbought Lockout:
RSI is calculated over rsiLen, then smoothed by an EMA over rsiEmaLen. If this smoothed RSI dips below a certain threshold (for example, 30) and then begins to slope upward, the indicator treats it as a potential sign of recovering momentum. Similarly, if RSI climbs above a certain threshold (for instance, 70) and starts to slope downward, that suggests dwindling momentum. Additionally, once RSI is in these zones, the indicator locks out repetitive signals until RSI fully exits and re-enters those extreme territories.
How It Works: Each bar, the script measures whether RSI has dropped below the oversold threshold (like 30) and has a positive slope. If it does, the buy side is considered “unlocked.” For sell signals, RSI must exceed an overbought threshold (70) and slope downward. The combination of threshold and slope helps confirm that a reversal is genuinely in progress instead of issuing signals while momentum remains weak or stuck in extremes.
Cooldown Mechanism:
The script features a custom bar-based cooldown that prevents issuing new signals in the opposite direction immediately after one is triggered. This helps avoid whipsaw situations where the market quickly flips from oversold to overbought or vice versa.
How It Works: When a buy signal fires, the indicator notes the bar index. If the Z-Score and RSI conditions later suggest a sell, the script compares the current bar index to the last buy signal’s bar index. If the difference is within cooldownBars, the signal is disallowed. This ensures a predefined “quiet period” before switching signals.
Slope-Based Coloring (Z-Mean Line and Shadow):
The script compares the current basis value to its value slopeIndex bars ago. A higher reading now indicates a generally upward slope, while a lower reading indicates a downward slope. The script then shades the Z-Mean line in a corresponding bullish or bearish color, or remains neutral if little change is detected.
How It Works: This slope calculation is refreshingly straightforward: basis – basis . If the result is positive, the line is colored bullish; if negative, it is colored bearish; if approximately zero, it remains neutral. This provides a quick visual cue of the medium-term directional bias.
Gradient Overlays:
With gradient fills, the script highlights where price stands in relation to the Z-Mean. When price is above the basis, a purple-shaded region is painted, visually indicating a “bearish zone” for potential overbought conditions. When price is below, a teal-like overlay is used, suggesting a “bullish zone” for potential oversold conditions.
How It Works: Each bar, the script checks if price is above or below the basis. It then applies a fill between close and basis, using distinct colors to show whether the market is trading above or below its mean. This creates an immediate sense of how extended the market might be.
Buy and Sell Labels (with Alerts):
When a legitimate buy or sell condition passes every check (Z-Score threshold, EMA trend alignment, RSI gating, and cooldown clearance), the script plots a corresponding label directly on the chart. It also fires an alert (if alerts are set up), making it convenient for traders who want timely notifications.
How It Works: If rawBuy or rawSell conditions are met (refined by RSI, EMA trend, and cooldown constraints), the script calls the respective plot function to paint an arrow label on the chart. Alerts are triggered simultaneously, carrying easily recognizable messages.
Metrics Table:
The optional on-chart table (activated by showMetrics) presents real-time Z-Score data, including the current Z-Score, its rolling mean, the maximum and minimum Z-Score values observed over the last zLen bars, a percentile position, and a short-term directional note (rising, falling, or flat).
Current – The present Z-Score reading
Mean – Average Z-Score over the zLen period
Min/Max – Lowest and highest Z-Score values within zLen
Position – Where the current Z-Score sits between the min and max (as a percentile)
Trend – Whether the Z-Score is increasing, decreasing, or flat
Conclusion
Uptrick: Z-Score Flow offers a versatile solution for traders who need a statistically informed perspective on price extremes combined with practical checks for overall trend and momentum. By leveraging a well-defined combination of Z-Score, EMA trend classification, RSI-based momentum gating, slope-based visualization, and a cooldown mechanic, the script reduces the occurrence of false or premature signals. Its gradient fills and optional metrics table contribute further clarity, ensuring that users can quickly assess market posture and make more confident trading decisions in real time.
Disclaimer
This script is intended solely for informational and educational purposes. Trading in any financial market comes with substantial risk, and there is no guarantee of success or the avoidance of loss. Historical performance does not ensure future results. Always conduct thorough research and consider professional guidance prior to making any investment or trading decisions.
Donchian Channel Trend Tracker by KellyLikesCrypto### Overview
This indicator is written in Pine Script® (version 6) and is designed to overlay on a price chart. It combines the classic Donchian Channel—a tool popular among trend-following traders—with additional trend-tracking features. By identifying when the channel’s highs and lows are making new extreme values, the indicator helps signal potential trend shifts. It is especially suited for scalpers using 1-hour charts, as it provides clear, actionable signals for rapid entry and exit decisions.
---
### Key Components & Inputs
1. **User Inputs:**
- **Length:** The period over which the indicator calculates the highest high and the lowest low (default is 27 bars). This value can be adjusted to smooth or tighten the channel based on the trader’s preference.
- **Offset:** A parameter allowing the plotted lines to be shifted left or right on the chart, providing flexibility in aligning the indicator with price action.
2. **Donchian Channel Calculations:**
- **Lower Bound (`lower`):** Calculated using `ta.lowest(length)`, it identifies the lowest low over the defined period.
- **Upper Bound (`upper`):** Determined by `ta.highest(length)`, capturing the highest high during the same period.
- **Basis:** The midline of the channel, computed as the average of the upper and lower bounds. This line can serve as an equilibrium or reference point in the trend analysis.
---
### Visual Representation
- **Plotting the Channels:**
- The **basis** is plotted in a standout orange color (#FF6D00) to make the central trend reference easily visible.
- The **upper** and **lower** bounds are plotted in blue (#2962FF), creating clear boundaries for the price action.
- The area between these two lines is filled with a semi-transparent blue, enhancing the visual context of the channel and helping traders quickly assess whether price is near an extreme or within a normal range.
---
### Trend Identification Logic
Beyond plotting the basic Donchian Channel, the indicator introduces additional logic to track short-term trend changes:
1. **Higher Highs and Higher Lows:**
- **Higher High (`higherHigh`):** This condition checks if the current upper bound is greater than the previous bar’s upper bound, signaling a potential upward push.
- **Higher Low (`higherLow`):** Similarly, it checks if the current lower bound exceeds the previous bar’s lower bound, reinforcing an upward trend if the support level is rising.
2. **Lower Highs and Lower Lows:**
- **Lower High (`lowerHigh`):** This evaluates if the current upper bound is less than that of the previous bar, indicating a possible downward shift.
- **Lower Low (`lowerLow`):** It verifies if the current lower bound is lower than the previous bar’s, further confirming a bearish tendency.
The use of the `nz()` function ensures that on the very first bar—where no previous data exists—the code handles the values gracefully without causing errors.
---
### Visual Markers for Trend Signals
To make trend signals immediately apparent:
- **Markers are Plotted on the Chart:**
- **Green Labels ("HH" and "HL"):** These are placed on the chart when the indicator detects higher highs or higher lows, suggesting bullish momentum.
- **Red Labels ("LH" and "LL"):** These markers are shown when lower highs or lower lows are detected, indicating bearish pressure.
Each label is plotted either above or below the corresponding bar, ensuring that the chart remains uncluttered and that the trend signals are clear.
---
### Scalping Strategy on 1-Hour Charts
This indicator is specifically tailored for scalping strategies on 1-hour charts. Scalping involves capturing small, rapid profits from short-term price movements, and the clear trend signals provided by this tool can help traders pinpoint optimal entry and exit points. Here’s how it integrates into a scalping strategy:
- **Quick Trend Identification:** The green markers (HH and HL) suggest bullish conditions ideal for quick long entries, while the red markers (LH and LL) signal bearish conditions suitable for short entries.
- **Timing and Precision:** On a 1-hour chart, the indicator’s sensitivity to higher highs and lower lows allows traders to make rapid decisions aligned with the prevailing trend.
- **Complementary Analysis:** While the indicator provides fast signals, it is recommended to use it alongside additional tools (like oscillators or volume analysis) and strict risk management practices, ensuring that scalpers can confirm entries and exits efficiently.
By leveraging the indicator’s visual cues within a broader scalping framework, traders can enhance their ability to capture quick moves, thus optimizing their overall strategy on 1-hour timeframes.
---
### Conclusion
The “Donchian Channel Trend Tracker by KellyLikesCrypto” is a powerful tool for visualizing price extremes and trend direction. By combining the classical Donchian Channel with additional trend-tracking markers, it offers traders a clear and immediate way to assess whether the market is gaining bullish momentum or beginning to turn bearish. Its customizable parameters and clear visual signals make it particularly effective for a scalping strategy on 1-hour charts, where rapid decision-making is crucial.
This detailed breakdown should provide a comprehensive understanding of how each component of the indicator works together and how it can be effectively integrated into a short-term scalping strategy.
Institutional Activity AnalysisThe Institutional Activity Analysis (IAA) indicator is a powerful tool designed to help traders identify potential institutional buying and selling activity in the market. By analyzing volume, price movement, and accumulation/distribution trends, this indicator provides insights into market dynamics that may signal significant activity.
This indicator is not a buy or sell recommendation but rather a tool to assist traders in understanding market behavior. It should be used in conjunction with other technical analysis tools and strategies for a comprehensive trading approach.
Key Features:
Smart Money Flow Index (SMFI):
1). Tracks the flow of "smart money" by analyzing price action relative to volume.
2). Helps identify whether institutional activity is bullish or bearish.
Accumulation/Distribution (Acc/Dist):
1). Measures buying and selling pressure in the market.
2). Indicates whether the market is in an accumulation (buying) or distribution (selling) phase.
Volume Spike Detection:
1. Identifies unusual volume spikes that may signal institutional activity.
2. Highlights these spikes with a yellow circle on the chart.
Significant Price Movement:
1. Detects strong price movements accompanied by high volume.
2. Marks these movements with a green triangle on the chart.
Customizable Dashboard:
1. Displays key metrics such as volume flow, smart money flow, accumulation/distribution, and volatility.
2. Includes visual signals for volume spikes and significant moves.
3. The dashboard can be positioned anywhere on the chart or turned off.
Heatmap for Activity Intensity:
1. Visualizes the intensity of market activity by combining volume and price volatility.
How to Read the Indicator:
Smart Money Flow (SMFI):
1. A positive SMFI value indicates bullish institutional activity.
2. A negative SMFI value suggests bearish institutional activity.
3. The blue line on the indicator represents the smoothed SMFI.
Accumulation/Distribution (Acc/Dist):
1. A positive slope indicates accumulation (buying pressure).
2. A negative slope indicates distribution (selling pressure).
3. The purple line on the indicator shows the smoothed Acc/Dist slope.
Volume Spikes:
1. Yellow circles on the chart indicate unusual volume spikes.
2. These spikes may signal institutional interest or significant market activity.
Significant Price Movements:
1. Green triangles on the chart highlight strong price movements with high volume.
2. These movements may indicate potential breakouts or reversals.
Dashboard:
The dashboard provides a quick summary of key metrics:
1. Volume Flow: Indicates whether volume is above or below the average.
2. Smart Money: Shows whether institutional activity is bullish or bearish.
3. Acc/Dist: Displays whether the market is in accumulation or distribution.
4. Volatility: Provides the current volatility level.
5. Signals: Highlights whether there are volume spikes or significant moves.
How to Use the Indicator:
Identify Institutional Activity:
1. Look for confluences between volume spikes, significant price movements, and the direction of the SMFI and Acc/Dist slope.
2. For example, a volume spike combined with a positive SMFI and accumulation may indicate bullish institutional activity.
Confirm Market Trends:
1. Use the indicator to confirm trends by analyzing the direction of the SMFI and Acc/Dist slope.
2. A rising SMFI and positive Acc/Dist slope suggest a strong uptrend, while the opposite indicates a downtrend.
Monitor Volatility:
1. High volatility combined with volume spikes may signal potential breakouts or reversals.
2. Use the volatility metric on the dashboard to gauge market conditions.
Set Alerts:
1. Use the built-in alert conditions to get notified of volume spikes and significant price movements.
2. Alerts can help you stay informed about potential market opportunities.
Important Notes:
1. This is not a buy or sell recommendation. The IAA indicator is a technical analysis tool designed to provide insights into market activity. Always use it in conjunction with other tools and strategies.
2. The indicator works best when combined with other forms of analysis, such as support/resistance levels, trendlines, and candlestick patterns.
3. Past performance is not indicative of future results. Always practice proper risk management and trade responsibly.
Customization:
The indicator includes several customizable settings:
1. Volume Spike Threshold: Adjust the sensitivity for detecting volume spikes.
2. Smoothing Period: Change the period for calculating SMFI and Acc/Dist.
3. Price Movement Threshold: Modify the sensitivity for detecting significant price movements.
4. Dashboard Position: Move the dashboard to any corner of the chart or turn it off.
5. Visual Settings: Customize the colors and transparency of the dashboard and signals.
Example Use Case:
Imagine you're analyzing a stock that has been consolidating for several days. Suddenly, the IAA indicator detects:
1. A volume spike (yellow circle),
2. A significant price movement (green triangle),
3. A positive SMFI (bullish smart money flow),
4. And an accumulation phase (positive Acc/Dist slope).
This confluence of signals may indicate that institutional buyers are entering the market, potentially leading to a breakout. You can then use this information to plan your trade, such as setting alerts or monitoring for confirmation from other indicators.
Disclaimer:
The Institutional Activity Analysis (IAA) indicator is for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any security. Always conduct your own research and consult with a financial advisor before making trading decisions. Use this tool responsibly and at your own risk.
FA_PA_LIBLibrary "FA_PA_LIB"
A collection of custom tools & utility functions commonly used for coding Dr Al Brooks, Price Action System with my scripts
getBodySize()
Gets the current candle's body size (in POINTS, divide by 10 to get pips)
Returns: The current candle's body size in POINTS
getTopWickSize()
Gets the current candle's top wick size (in POINTS, divide by 10 to get pips)
Returns: The current candle's top wick size in POINTS
getTopWickPercent()
Gets the current candle's top wick size (in POINTS, divide by 10 to get pips)
Returns: Percent of total candle width that is occupied by the upper wick
getBottomWickSize()
Gets the current candle's bottom wick size (in POINTS, divide by 10 to get pips)
Returns: The current candle's bottom wick size in POINTS
getBottomWickPercent()
Gets the current candle's bottom wick size (in POINTS, divide by 10 to get pips)
Returns: Percent of total candle width that is occupied by the lower wick
getBarMidPoint()
Gets the current candle's midpoint wick to wick
Returns: The current candle's mid point
getBodyPercent()
Gets the current candle's body size as a percentage of its entire size including its wicks
Returns: The current candle's body size percentage (00.00)
bullFib(priceLow, priceHigh, fibRatio)
Calculates a bullish fibonacci value
Parameters:
priceLow (float) : The lowest price point
priceHigh (float) : The highest price point
fibRatio (float) : The fibonacci % ratio to calculate
Returns: The fibonacci value of the given ratio between the two price points
bearFib(priceLow, priceHigh, fibRatio)
Calculates a bearish fibonacci value
Parameters:
priceLow (float) : The lowest price point
priceHigh (float) : The highest price point
fibRatio (float) : The fibonacci % ratio to calculate
Returns: The fibonacci value of the given ratio between the two price points
isBr()
Checks if the current bar is a Bear Bar
Returns: A boolean - true if the current bar is bear candle
isBl()
Checks if the current bar is a Bull Bar
Returns: A boolean - true if the current bar is Bull candle
isTrendBar()
Checks if the current bar is a Trend Bar. Candle that its body size is greater than 50% of entire candle size
Returns: A boolean - true if the current bar is Trend candle
isBlTrendBar()
Checks if the current bar is a Bull Trend Bar. Bullish candle that its body size is greater than 50% of entire candle size
Returns: A boolean - true if the current bar is Bull Trend candle
isBrTrendBar()
Checks if the current bar is a Bull Trend Bar. Bullish candle that its body size is greater than 50% of entire candle size
Returns: A boolean - true if the current bar is Bull Trend candle
isBlRevB()
Checks if the current bar is a Bull Reversal Bar. Bullish candle that closes on upper half of candle body
Returns: A boolean - true if the current bar is Bull Reversal candle
isBrRevB()
Checks if the current bar is a Bear Reversal Bar. BulBearish candle that closes on lower half of candle body
Returns: A boolean - true if the current bar is Bear Reversal candle
isDoji(wickSize, bodySize)
Checks if the current bar is a doji candle based on the given parameters
Parameters:
wickSize (float) : (default=2) The maximum top wick size compared to the bottom (and vice versa)
bodySize (float) : (default=0.05) The maximum body size as a percentage compared to the entire candle size
Returns: A boolean - true if the current bar matches the requirements of a doji candle
isHammer(fib, colorMatch)
Checks if the current bar is a hammer candle based on the given parameters
Parameters:
fib (float) : (default=0.382) The fib to base candle body on
colorMatch (bool) : (default=true) Does the candle need to be green? (true/false)
Returns: A boolean - true if the current bar matches the requirements of a hammer candle
isStar(fib, colorMatch)
Checks if the current bar is a shooting star candle based on the given parameters
Parameters:
fib (float) : (default=0.382) The fib to base candle body on
colorMatch (bool) : (default=false) Does the candle need to be red? (true/false)
Returns: A boolean - true if the current bar matches the requirements of a shooting star candle
isBlOB()
Detects Bullish outside bars(OB)
Returns: Returns true if the current bar is a bull outside bar
isBrOB()
Detects Bearish outside bars(OB)
Returns: Returns true if the current bar is a bear outside bar
DAMA OSC - Directional Adaptive MA OscillatorOverview:
The DAMA OSC (Directional Adaptive MA Oscillator) is a highly customizable and versatile oscillator that analyzes the delta between two moving averages of your choice. It detects trend progression, regressions, rebound signals, MA cross and critical zone crossovers to provide highly contextual trading information.
Designed for trend-following, reversal timing, and volatility filtering, DAMA OSC adapts to market conditions and highlights actionable signals in real-time.
Features:
Support for 11 custom moving average types (EMA, DEMA, TEMA, ALMA, KAMA, etc.)
Customizable fast & slow MA periods and types
Histogram based on percentage delta between fast and slow MA
Trend direction coloring with “Green”, “Blue”, and “Red” zones
Rebound detection using close or shadow logic
Configurable thresholds: Overbought, Oversold, Underbought, Undersold
Optional filters: rebound validation by candle color or flat-zone filter
Full visual overlay: MA lines, crossover markers, rebound icons
Complete alert system with 16 preconfigured conditions
How It Works:
Histogram Logic:
The histogram measures the percentage difference between the fast and slow MA:
hist_value = ((FastMA - SlowMA) / SlowMA) * 100
Trend State Logic (Green / Blue / Red):
Green_Up = Bullish acceleration
Blue_Up (or Red_Up, depending the display settings) = Bullish deceleration
Blue_Down (or Green_Down, depending the display settings) = Bearish deceleration
Red_Down = Bearish acceleration
Rebound Logic:
A rebound is detected when price:
Crosses back over a selected MA (fast or slow)
After being away for X candles (rebound_backstep)
Optional: filtered by histogram zones or candle color
Inputs:
Display Options:
Show/hide MA lines
Show/hide MA crosses
Show/hide price rebounds
Enable/disable blue deceleration zones
DAMA Settings:
Fast/Slow MA type and length
Source input (close by default)
Overbought/Oversold levels
Underbought/Undersold levels
Rebound Settings:
Use Close and/or Shadow
Rebound MA (Fast/Slow)
Candle color validation
Flat zone filter rebounds (between UnderSold and UnderBought)
Available MA type:
SMA (Simple MA)
EMA (Exponential MA)
DEMA (Double EMA)
TEMA (Triple EMA)
WMA (Weighted MA)
HMA (Hull MA)
VWMA (Volume Weighted MA)
Kijun (Ichimoku Baseline)
ALMA (Arnaud Legoux MA)
KAMA (Kaufman Adaptive MA)
HULLMOD (Modified Hull MA, Same as HMA, tweaked for Pine v6 constraints)
Notes:
**DEMA/TEMA** reduce lag compared to EMA, useful for faster reaction in trending markets.
**KAMA/ALMA** are better suited to noisy or volatile environments (e.g., BTC).
**VWMA** reacts strongly to volume spikes.
**HMA/HULLMOD** are great for visual clarity in fast moves.
Alerts Included (Fully Configurable):
Golden Cross:
Fast MA crosses above Slow MA
Death Cross:
Fast MA crosses below Slow MA
Bullish Rebound:
Rebound from below MA in uptrend
Bearish Rebound:
Rebound from above MA in downtrend
Bull Progression:
Transition into Green_Up with positive delta
Bear Progression:
Transition into Red_Down with negative delta
Bull Regression:
Exit from Red_Down into Blue/Green with negative delta
Bear Regression:
Exit from Green_Up into Blue/Red with positive delta
Crossover Overbought:
Histogram crosses above Overbought
Crossunder Overbought:
Histogram crosses below Overbought
Crossover Oversold:
Histogram crosses above Oversold
Crossunder Oversold:
Histogram crosses below Oversold
Crossover Underbought:
Histogram crosses above Underbought
Crossunder Underbought:
Histogram crosses below Underbought
Crossover Undersold:
Histogram crosses above Undersold
Crossunder Undersold:
Histogram crosses below Undersold
Credits:
Created by Eff_Hash. This code is shared with the TradingView community and full free. do not hesitate to share your best settings and usage.
Elliott Wave Identification By Akash Patel
This script is designed to visually highlight areas on the chart where there are consecutive bullish (green) or bearish (red) candles. It also identifies sequences of three consecutive candles of the same type (bullish or bearish) and highlights those areas with adjustable box opacity. Here's a breakdown of the functionality:
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### Key Features:
1. **Bullish & Bearish Candle Identification:**
- **Bullish Candle:** When the closing price is higher than the opening price (`close > open`).
- **Bearish Candle:** When the closing price is lower than the opening price (`close < open`).
2. **Consecutive Candle Counter:**
- The script counts consecutive bullish and bearish candles, which resets when the direction changes (from bullish to bearish or vice versa).
- The script tracks these counts using the `bullishCount` and `bearishCount` variables, which are incremented based on whether the current candle is bullish or bearish.
3. **Highlighting Candle Areas:**
- If there are **3 or more consecutive bullish candles**, the script will highlight the background in a green color with 90% transparency (adjustable).
- Similarly, if there are **3 or more consecutive bearish candles**, the script will highlight the background in a red color with 90% transparency (adjustable).
4. **Three-Candle Sequence:**
- The script checks if there are three consecutive bullish candles (`threeBullish`) or three consecutive bearish candles (`threeBearish`).
- A box is drawn around these areas to visually highlight the sequence. The boxes extend to the right edge of the chart, and their opacity can be adjusted.
5. **Box Creation:**
- For bullish sequences, a green box is created using the high and low prices of the three candles in the sequence.
- For bearish sequences, a red box is created in the same manner.
- The box size is determined by the highest high and the lowest low of the three consecutive candles.
6. **Box Opacity:**
- You can adjust the opacity of the boxes through the input parameters `Bullish Box Opacity` and `Bearish Box Opacity` (ranging from 0 to 100).
- A higher opacity will make the boxes more solid, while a lower opacity will make them more transparent.
7. **Box Cleanup:**
- The script also includes logic to remove boxes when they are no longer needed, ensuring the chart remains clean without excessive box overlays.
8. **Extending Boxes to the Right:**
- When a bullish or bearish sequence is identified, the boxes are extended to the right edge of the chart for continued visibility.
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### How It Works:
- **Bullish Area Highlight:** When three or more consecutive bullish candles are detected, the background will turn green to indicate a strong bullish trend.
- **Bearish Area Highlight:** When three or more consecutive bearish candles are detected, the background will turn red to indicate a strong bearish trend.
- **Three Consecutive Candle Box:** A green box will appear around three consecutive bullish candles, and a red box will appear around three consecutive bearish candles. These boxes can be extended to the right edge of the chart, making the sequence visually clear.
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### Adjustable Parameters:
1. **Bullish Box Opacity:** Set the opacity (transparency) level of the bullish boxes. Ranges from 0 (completely transparent) to 100 (completely opaque).
2. **Bearish Box Opacity:** Set the opacity (transparency) level of the bearish boxes. Ranges from 0 (completely transparent) to 100 (completely opaque).
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This indicator is useful for identifying strong trends and visually confirming market momentum, especially in situations where you want to spot sequences of bullish or bearish candles over multiple bars. It can be customized to suit different trading styles and chart preferences by adjusting the opacity of the boxes and background highlights.
Internal Market StructureInternal Market Structure Indicator (Based on Bearish/Bullish Candle Patterns)
This custom market structure indicator is designed to help traders identify key shifts in market pressure based on bullish and bearish candle patterns. The indicator tracks consecutive bullish and bearish candles and identifies significant points where the price action suggests a potential reversal or continuation of the current market trend.
Key Features:
1. Bullish & Bearish Candle Recognition: The indicator monitors individual candles to determine if they are bullish (close > open) or bearish (close < open), and uses this information to track price direction over consecutive candles.
2. Consecutive Candle Tracking: It tracks consecutive bullish and bearish candles, giving insight into the strength of the prevailing trend. The number of consecutive candles can be adjusted to refine the analysis based on market conditions.
3. Engulfing Candle Detection: The indicator identifies Bullish and Bearish Engulfing signals when a reversal pattern is detected. These are plotted as triangle shapes on the chart:
-Bullish Engulfing: Indicates a potential reversal or continuation of an upward move, where a bullish candle fully engulfs the previous bearish candle.
-Bearish Engulfing: Indicates a potential reversal or continuation of a downward move, where a bearish candle fully engulfs the previous bullish candle.
4. Internal Shifts: The indicator also tracks Internal Shifts, which occur when the price closes beyond the highest or lowest levels of previous bullish or bearish sequences, signaling a potential trend change:
-Bullish Internal Shift: A shift indicating the market may be turning bullish.
-Bearish Internal Shift: A shift indicating the market may be turning bearish.
5. Alerts: Custom alerts are included to notify traders when any of the above conditions are met:
-Bullish Pressure Change Alert
-Bearish Pressure Change Alert
-Bullish Internal Shift Alert
-Bearish Internal Shift Alert
Plotting:
The indicator visually marks these key price levels with shapes on the chart:
-Green Triangle Up: Bullish Engulfment
-Red Triangle Down: Bearish Engulfment
-Blue Triangle Down: Bearish Internal Shift
-Orange Triangle Up: Bullish Internal Shift
Usage:
This indicator can be used to spot potential reversals, continuation patterns, and shifts in market sentiment. Traders can combine these signals with other technical indicators to form a more robust trading strategy.
By focusing on candle patterns and market structure, this indicator offers a clear, actionable framework for understanding market behavior and making more informed trading decisions.
*NOTE*
The polyline and horizontal trend lines drawn are not included in this indicator, but are there to show how this indicator can be used to illustrate the internal market structure of the given timeframe.
Momentum Volume Divergence (MVD) EnhancedMomentum Volume Divergence (MVD) Enhanced is a powerful indicator that detects price-momentum divergences and momentum suppression for reversal trading. Optimized for XRP on 1D charts, it features dynamic lookbacks, ATR-adjusted thresholds, and SMA confirmation. Signals include strong divergences (triangles) and suppression warnings (crosses). Includes a detailed user guide—try it out and share your feedback!
Setup: Add to XRP 1D chart with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA crossovers. See full guide for details!
Disclaimer: This indicator is for educational purposes only, not financial advice. Trading involves risk—use at your discretion.
Momentum Volume Divergence (MVD) Enhanced Indicator User Guide
Version: Pine Script v6
Designed for: TradingView
Recommended Use: XRP on 1-day (1D) chart
Date: March 18, 2025
Author: Herschel with assistance from Grok 3 (xAI)
Overview
The Momentum Volume Divergence (MVD) Enhanced indicator is a powerful tool for identifying price-momentum divergences and momentum suppression patterns on XRP’s 1-day (1D) chart. Plotted below the price chart, it provides clear visual signals to help traders spot potential reversals and trend shifts.
Purpose
Detect divergences between price and momentum for buy/sell opportunities.
Highlight momentum suppression as warnings of fading trends.
Offer actionable trading signals with intuitive markers.
Indicator Components
Main Plot
Volume-Weighted Momentum (vw_mom): Blue line showing momentum adjusted by volume.
Above 0 = bullish momentum.
Below 0 = bearish momentum.
Zero Line: Gray dashed line at 0, separating bullish/bearish zones.
Key Signals
Strong Bearish Divergence:
Marker: Red triangle at the top.
Meaning: Price makes a higher high, but momentum weakens, confirmed by a drop below the 5-day SMA.
Action: Potential sell/short signal.
Strong Bullish Divergence:
Marker: Green triangle at the bottom.
Meaning: Price makes a lower low, but momentum strengthens, confirmed by a rise above the 5-day SMA.
Action: Potential buy/long signal.
Bearish Suppression:
Marker: Orange cross at the top + red background.
Meaning: Strong bullish momentum with low volume in a volume downtrend, suggesting fading strength.
Action: Warning to avoid longs or exit early.
Bullish Suppression:
Marker: Yellow cross at the bottom + green background.
Meaning: Strong bearish momentum with low volume in a volume uptrend, suggesting fading weakness.
Action: Warning to avoid shorts or exit early.
Debug Plots (Optional)
Volume Ratio: Gray line (volume vs. its MA) vs. yellow line (threshold).
Momentum Threshold: Purple lines (positive/negative momentum cutoffs).
Smoothed Momentum: Orange line (raw momentum).
Confirmation SMA: Purple line (price trend confirmation).
Labels
Text labels (e.g., "Bear Div," "Bull Supp") mark detected patterns.
How to Use the Indicator
Step-by-Step Trading Process
1. Monitor the Chart
Load your XRP 1D chart with the indicator applied.
Observe the blue vw_mom line and signal markers.
2. Spot a Signal
Primary Signals: Look for red triangles (strong_bear) or green triangles (strong_bull).
Warnings: Note orange crosses (suppression_bear) or yellow crosses (suppression_bull).
3. Confirm the Signal
For Strong Bullish Divergence (Buy):
Green triangle appears.
Price closes above the 5-day SMA (purple line) and a recent swing high.
Optional: Volume ratio (gray line) exceeds the threshold (yellow line).
For Strong Bearish Divergence (Sell):
Red triangle appears.
Price closes below the 5-day SMA and a recent swing low.
Optional: Volume ratio (gray line) falls below the threshold (yellow line).
4. Enter the Trade
Long:
Buy at the close of the signal bar.
Stop loss: Below the recent swing low or 2 × ATR(14) below entry.
Short:
Sell/short at the close of the signal bar.
Stop loss: Above the recent swing high or 2 × ATR(14) above entry.
5. Manage the Trade
Take Profit:
Aim for a 2:1 or 3:1 risk-reward ratio (e.g., risk $0.05, target $0.10-$0.15).
Or exit when an opposite suppression signal appears (e.g., orange cross for longs).
Trailing Stop:
Move stop to breakeven after a 1:1 RR move.
Trail using the 5-day SMA or 2 × ATR(14).
Early Exit:
Exit if a suppression signal appears against your position (e.g., suppression_bull while short).
6. Filter Out Noise
Avoid trades if a suppression signal precedes a divergence within 2-3 days.
Optional: Add a 50-day SMA on the price chart:
Longs only if price > 50-SMA.
Shorts only if price < 50-SMA.
Example Trades (XRP 1D)
Bullish Trade
Signal: Green triangle (strong_bull) at $0.55.
Confirmation: Price closes above 5-SMA and $0.57 high.
Entry: Buy at $0.58.
Stop Loss: $0.53 (recent low).
Take Profit: $0.63 (2:1 RR) or exit on suppression_bear.
Outcome: Price hits $0.64, exit at $0.63 for profit.
Bearish Trade
Signal: Red triangle (strong_bear) at $0.70.
Confirmation: Price closes below 5-SMA and $0.68 low.
Entry: Short at $0.67.
Stop Loss: $0.71 (recent high).
Take Profit: $0.62 (2:1 RR) or exit on suppression_bull.
Outcome: Price drops to $0.61, exit at $0.62 for profit.
Tips for Success
Combine with Price Levels:
Use support/resistance zones (e.g., weekly pivots) to confirm entries.
Monitor Volume:
Rising volume (gray line above yellow) strengthens signals.
Adjust Sensitivity:
Too many signals? Increase div_strength_threshold to 0.7.
Too few signals? Decrease to 0.3.
Backtest:
Review 20-30 past signals on XRP 1D to assess performance.
Avoid Choppy Markets:
Skip signals during low volatility (tight price ranges).
Troubleshooting
No Signals:
Lower div_strength_threshold to 0.3 or mom_threshold_base to 0.2.
Check if XRP’s volatility is unusually low.
False Signals:
Increase sma_confirm_length to 7 or add a 50-SMA filter.
Indicator Not Loading:
Ensure the script compiles without errors.
Customization (Optional)
Change Colors: Edit color.* values (e.g., color.red to color.purple).
Add Alerts: Use TradingView’s alert menu for "Strong Bearish Divergence Confirmed," etc.
Test Other Assets: Experiment with BTC or ETH, adjusting inputs as needed.
Disclaimer
This indicator is for educational purposes only and not financial advice. Trading involves risk, and past performance does not guarantee future results. Use at your own discretion.
Setup: Use on XRP 1D with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA cross. Stop: 2x ATR(14). Profit: 2:1 RR or suppression exit. Full guide available separately!
Quarterly Theory ICT 03 [TradingFinder] Precision Swing Points🔵 Introduction
Precision Swing Point (PSP) is a divergence pattern in the closing of candles between two correlated assets, which can indicate a potential trend reversal. This structure appears at market turning points and highlights discrepancies between the price behavior of two related assets.
PSP typically forms in key timeframes such as 5-minute, 15-minute, and 90-minute charts, and is often used in combination with Smart Money Concepts (SMT) to confirm trade entries.
PSP is categorized into Bearish PSP and Bullish PSP :
Bearish PSP : Occurs when an asset breaks its previous high, and its middle candle closes bullish, while the correlated asset closes bearish at the same level. This divergence signals weakness in the uptrend and a potential price reversal downward.
Bullish PSP : Occurs when an asset breaks its previous low, and its middle candle closes bearish, while the correlated asset closes bullish at the same level. This suggests weakness in the downtrend and a potential price increase.
🟣 Trading Strategies Using Precision Swing Point (PSP)
PSP can be integrated into various trading strategies to improve entry accuracy and filter out false signals. One common method is combining PSP with SMT (divergence between correlated assets), where traders identify divergence and enter a trade only after PSP confirms the move.
Additionally, PSP can act as a liquidity gap, meaning that price tends to react to the wick of the PSP candle, making it a favorable entry point with a tight stop-loss and high risk-to-reward ratio. Furthermore, PSP combined with Order Blocks and Fair Value Gaps in higher timeframes allows traders to identify stronger reversal zones.
In lower timeframes, such as 5-minute or 15-minute charts, PSP can serve as a confirmation for more precise entries in the direction of the higher timeframe trend. This is particularly useful in scalping and intraday trading, helping traders execute smarter entries while minimizing unnecessary stop-outs.
🔵 How to Use
PSP is a trading pattern based on divergence in candle closures between two correlated assets. This divergence signals a difference in trend strength and can be used to identify precise market turning points. PSP is divided into Bullish PSP and Bearish PSP, each applicable for long and short trades.
🟣 Bullish PSP
A Bullish PSP forms when, at a market turning point, the middle candle of one asset closes bearish while the correlated asset closes bullish. This discrepancy indicates weakness in the downtrend and a potential price reversal upward.
Traders can use this as a signal for long (buy) trades. The best approach is to wait for price to return to the wick of the PSP candle, as this area typically acts as a liquidity level.
f PSP forms within an Order Block or Fair Value Gap in a higher timeframe, its reliability increases, allowing for entries with tight stop-loss and optimal risk-to-reward ratios.
🟣 Bearish PSP
A Bearish PSP forms when, at a market turning point, the middle candle of one asset closes bullish while the correlated asset closes bearish. This indicates weakness in the uptrend and a potential price decline.
Traders use this pattern to enter short (sell) trades. The best entry occurs when price retests the wick of the PSP candle, as this level often acts as a resistance zone, pushing price lower.
If PSP aligns with a significant liquidity area or Order Block in a higher timeframe, traders can enter with greater confidence and place their stop-loss just above the PSP wick.
Overall, PSP is a highly effective tool for filtering false signals and improving trade entry precision. Combining PSP with SMT, Order Blocks, and Fair Value Gaps across multiple timeframes allows traders to execute higher-accuracy trades with lower risk.
🔵 Settings
Mode :
2 Symbol : Identifies PSP and PCP between two correlated assets.
3 Symbol : Compares three assets to detect more complex divergences and stronger confirmation signals.
Second Symbol : The second asset used in PSP and correlation calculations.
Third Symbol : Used in three-symbol mode for deeper PSP and PCP analysis.
Filter Precision X Point : Enables or disables filtering for more precise PSP and PCP detection. This filter only identifies PSP and PCP when the base asset's candle qualifies as a Pin Bar.
Trend Effect : By changing the Trend Effect status to "Off," all Pin bars, whether bullish or bearish, are displayed regardless of the current market trend. If the status remains "On," only Pin bars in the direction of the main market trend are shown.
Bullish Pin Bar Setting : Using the "Ratio Lower Shadow to Body" and "Ratio Lower Shadow to Higher Shadow" settings, you can customize your bullish Pin bar candles. Larger numbers impose stricter conditions for identifying bullish Pin bars.
Bearish Pin Bar Setting : Using the "Ratio Higher Shadow to Body" and "Ratio Higher Shadow to Lower Shadow" settings, you can customize your bearish Pin bar candles. Larger numbers impose stricter conditions for identifying bearish Pin bars.
🔵 Conclusion
Precision Swing Point (PSP) is a powerful analytical tool in Smart Money trading strategies, helping traders identify precise market turning points by detecting divergences in candle closures between correlated assets. PSP is classified into Bullish PSP and Bearish PSP, each playing a crucial role in detecting trend weaknesses and determining optimal entry points for long and short trades.
Using the PSP wick as a key liquidity level, integrating it with SMT, Order Blocks, and Fair Value Gaps, and analyzing higher timeframes are effective techniques to enhance trade entries. Ultimately, PSP serves as a complementary tool for improving entry accuracy and reducing unnecessary stop-outs, making it a valuable addition to Smart Money trading methodologies.
V Pattern TrendDESCRIPTION:
The V Pattern Trend Indicator is designed to identify and highlight V-shaped reversal patterns in price action. It detects both bullish and bearish V formations using a five-candle structure, helping traders recognize potential trend reversal points. The indicator filters out insignificant patterns by using customizable settings based on ATR, percentage, or points, ensuring that only meaningful V patterns are displayed.
CALCULATION METHOD
The user can choose how the minimum length of a V pattern is determined. The available options are:
- ATR (Average True Range) – Filters V patterns based on ATR, making the detection adaptive to market volatility.
- Percentage (%) – Considers V patterns where the absolute price difference between the V low and V high is greater than a user-defined percentage of the V high.
- Points – Uses a fixed number of points to filter valid V patterns, making it useful for assets with consistent price ranges.
ATR SETTINGS
- ATR Length – Defines the number of periods for ATR calculation.
- ATR Multiplier – Determines the minimum V length as a multiple of ATR.
PERCENTAGE THRESHOLD
- Sets a minimum percentage difference between the V high and V low for a pattern to be considered valid.
POINTS THRESHOLD
- Defines the minimum price movement (in points) required for a V pattern to be considered significant.
PATTERN VISUALIZATION
- A bullish V pattern is plotted using two upward-sloping lines, with a filled green region to highlight the formation.
- A bearish V pattern is plotted using two downward-sloping lines, with a filled red region to indicate the reversal.
- The indicator dynamically updates and marks only the most recent valid patterns.
UNDERSTANDING V PATTERNS
A V pattern is a sharp reversal formation where price moves strongly in one direction and then rapidly reverses in the opposite direction, forming a "V" shape on the chart.
BULLISH V PATTERN
- A bullish V pattern is formed when the price makes three consecutive lower lows, followed by two consecutive higher lows.
- The pattern is confirmed when the highest high of the formation is greater than the previous highs within the structure.
- This pattern suggests a potential trend reversal from bearish to bullish.
- The lowest point of the pattern represents the V low, which acts as a support level.
bull_five_candle_v = low > low and low > low and low > low and low > low
and high > math.max(high , high , high ) and high > math.max(high , high , high )
BEARISH V PATTERN
- A bearish V pattern is detected when the price makes three consecutive higher highs, followed by two consecutive lower highs.
- The pattern is confirmed when the lowest low of the formation is lower than the previous lows within the structure.
- This pattern signals a possible trend reversal from bullish to bearish.
- The highest point of the pattern represents the V high, which acts as a resistance level.
bear_five_candle_v = high < high and high < high and high < high and high < high
and low < math.min(low , low , low ) and low < math.min(low , low , low )
HOW THIS IS UNIQUE
- Advanced Filtering Mechanism – Unlike basic reversal indicators, this tool provides customizable filtering based on ATR, percentage, or points, ensuring that only significant V patterns are displayed.
- Enhanced Visual Clarity – The indicator uses color-coded fills and structured plotting to make reversal patterns easy to recognize.
- Works Across Market Conditions – Adaptable to different market environments, filtering out weak or insignificant price fluctuations.
- Multi-Timeframe Usability – Can be applied across different timeframes and asset classes, making it useful for both intraday and swing trading.
HOW TRADERS CAN USE THIS INDICATOR
- Identify potential trend reversals early based on structured price action.
- Filter out weak or insignificant reversals to focus only on strong V formations.
- Use the V pattern’s highs and lows as key support and resistance zones for trade entries and exits.
- Combine with other indicators like moving averages, trendlines, or momentum oscillators for confirmation.
Dynamic Timeframe Trend AnalyzerPurpose and Core Logic
This indicator automatically adjusts its calculations based on the current chart’s timeframe, allowing traders to analyze trends, momentum, and mean reversion opportunities without manually changing indicator settings for each interval. It detects potential long or short setups by combining several techniques:
Dynamic Timeframe Factor
The script compares the current timeframe to a base (e.g., 5 minutes) and calculates a “factor” to scale certain parameters, such as EMA lengths or ATR settings. This reduces the need to reconfigure indicators when switching timeframes.
Regime Detection
It uses ADX (Average Directional Index) to classify the market as strongly trending, moderately trending, choppy, or in a potential mean-reversion phase.
RSI (Relative Strength Index) is also monitored for extreme levels (e.g., overbought/oversold) to detect potential reversal zones.
Volume is compared to a moving average to confirm or refute volatility conditions.
Trend & Mean Reversion Signals
EMA Alignment (8/21/55) helps identify bullish or bearish phases (strong bull if all EMAs align upward, strong bear if aligned downward).
For mean reversion opportunities, the script checks if ADX is sufficiently low (indicating weak or no trend) while price and RSI are at extreme levels—suggesting a snapback or countertrend move may occur.
Dynamic Stop Loss & Take Profit
Uses ATR (Average True Range) to set initial stop-loss (SL) and take-profit (TP) levels, then adjusts these levels further with “regime multipliers” based on whether the market is in a high-volatility trend or a quieter mean-reversion environment.
This approach aims to place stops and targets in a more adaptive way, reflecting current market conditions rather than a one-size-fits-all approach.
Visual Aids
Color-coded chart backgrounds (e.g., greenish for bullish trend, red for bearish, yellow/orange for mean reversion).
Triangles to show recent bullish/bearish signals.
A status table in the top-right corner (optional) displaying key metrics like ADX, RSI, dynamic thresholds, current SL/TP levels, and whether a stop loss has been hit.
How It Works Internally
ADX & Dynamic Thresholds:
A moving average (adx_mean) and standard deviation (adx_std) of the ADX are calculated over a lookback period to define “strong” vs. “weak” ADX thresholds.
This allows the script to adapt to changing volatility and trend strength in different markets or timeframes.
Mean Reversion Criteria:
The indicator checks if price deviates significantly from its own moving average, alongside RSI extremes. If ADX suggests no strong directional push (i.e., the market is “quiet”), it may classify conditions as mean-reverting.
Regime Multipliers:
Once the script identifies the market regime (e.g., strong uptrend, choppy, mean reversion), it applies different multipliers to the user-defined base values for stop-loss and take-profit. For instance, strong trending conditions might allow for wider stops to handle volatility, while mean reversion signals use tighter exits to capture quick reversals.
How to Use It
Timeframe Agnostic
Simply apply it to any timeframe (from 1-minute up to daily or weekly). The “Dynamic Timeframe Factor” will scale the indicator parameters automatically.
Look for Buy/Sell Triangles
When the script detects a valid bullish trend shift or a mean-reversion long setup, it plots a green triangle under the price bar. Conversely, it plots a red triangle above the price bar for bearish or mean-reversion short setups.
Check the Status Table
The table in the top-right corner summarizes the indicator’s current readings: ADX, RSI, volume trends, and the market regime classification.
The table also shows if a stop loss has been hit (SL Hit) and displays recommended SL/TP levels if a signal is active.
Stop Loss & Take Profit
The script plots lines for SL and TP on your chart after a new signal. These lines are automatically adjusted based on ATR, volume conditions, and ADX-derived multipliers.
Mean Reversion vs. Trend-Following
If you see a “Mean Rev” state in the table or the background turning yellow/orange, it suggests potential countertrend trades. Conversely, “STRONG BULL” or “STRONG BEAR” states favor momentum-based entries in the prevailing direction.
Originality & Benefits
Adaptive to Timeframe: Many indicators require reconfiguration when switching from short to long timeframes. This script automates that process using the “timeframe factor” logic.
Regime-Based SL/TP: Instead of fixed risk parameters, the script dynamically tunes stop and target levels depending on whether the market is trending or reverting.
Comprehensive Market View: It combines multiple factors—ADX, RSI, volume, moving averages, and volatility measurements—into a single, integrated framework that categorizes the market regime in real time.
Best Practices & Notes
Timeframes: It typically performs well on intraday timeframes (5m, 15m, 1H) but can also be used for swing trading on 4H or Daily charts.
Settings: The defaults are a good starting point, but you can adjust the base ATR multiplier or ADX lookbacks if you prefer a different balance between sensitivity and stability.
Risk Management: This indicator is not a guarantee of any specific results. Always use proper risk management (position sizing, stop-losses, and diversified strategies).
Alert Conditions: Built-in alert conditions can notify you when a new long or short signal appears, or when a stop loss is triggered.
Triangle Reversal IndicatorTriangle Reversal Indicator – A Visual Tool for Identifying Reversal Patterns
This indicator is designed to highlight potential trend reversal moments by comparing the current candle with the previous one. It offers a unique approach by focusing on distinct candle patterns rather than generic trend indicators, making it a valuable addition to your trading toolkit.
How It Works:
For a bullish signal, the indicator checks if:
The current candle is bullish (closing higher than it opens) while the previous candle was bearish.
The current candle’s low breaches the previous bearish candle’s low.
The current candle’s close is above the previous bearish candle’s close.
When these conditions are met, a tiny green triangle is plotted below the candle to signal a potential bullish reversal.
Conversely, for a bearish signal, it verifies if:
The current candle is bearish (closing lower than it opens) following a bullish candle.
The current candle’s high exceeds the previous bullish candle’s high.
The current candle’s close falls below the previous bullish candle’s close.
If all conditions are satisfied, a small red triangle appears above the candle to indicate a potential bearish reversal.
How to Use:
Simply apply the indicator on your chart and look for the tiny triangles that appear above or below the candles. These markers can serve as an additional visual cue when confirming entry or exit points, but it’s best used alongside your other analysis techniques.
Customization Options:
Users can further enhance the script by adding inputs for lookback periods, adjusting the triangle size, or modifying colors to match their chart themes.
Strategy SuperTrend SDI WebhookThis Pine Script™ strategy is designed for automated trading in TradingView. It combines the SuperTrend indicator and Smoothed Directional Indicator (SDI) to generate buy and sell signals, with additional risk management features like stop loss, take profit, and trailing stop. The script also includes settings for leverage trading, equity-based position sizing, and webhook integration.
Key Features
1. Date-based Trade Execution
The strategy is active only between the start and end dates set by the user.
times ensures that trades occur only within this predefined time range.
2. Position Sizing and Leverage
Uses leverage trading to adjust position size dynamically based on initial equity.
The user can set leverage (leverage) and percentage of equity (usdprcnt).
The position size is calculated dynamically (initial_capital) based on account performance.
3. Take Profit, Stop Loss, and Trailing Stop
Take Profit (tp): Defines the target profit percentage.
Stop Loss (sl): Defines the maximum allowable loss per trade.
Trailing Stop (tr): Adjusts dynamically based on trade performance to lock in profits.
4. SuperTrend Indicator
SuperTrend (ta.supertrend) is used to determine the market trend.
If the price is above the SuperTrend line, it indicates an uptrend (bullish).
If the price is below the SuperTrend line, it signals a downtrend (bearish).
Plots visual indicators (green/red lines and circles) to show trend changes.
5. Smoothed Directional Indicator (SDI)
SDI helps to identify trend strength and momentum.
It calculates +DI (bullish strength) and -DI (bearish strength).
If +DI is higher than -DI, the market is considered bullish.
If -DI is higher than +DI, the market is considered bearish.
The background color changes based on the SDI signal.
6. Buy & Sell Conditions
Long Entry (Buy) Conditions:
SDI confirms an uptrend (+DI > -DI).
SuperTrend confirms an uptrend (price crosses above the SuperTrend line).
Short Entry (Sell) Conditions:
SDI confirms a downtrend (+DI < -DI).
SuperTrend confirms a downtrend (price crosses below the SuperTrend line).
Optionally, trades can be filtered using crossovers (occrs option).
7. Trade Execution and Exits
Market entries:
Long (strategy.entry("Long")) when conditions match.
Short (strategy.entry("Short")) when bearish conditions are met.
Trade exits:
Uses predefined take profit, stop loss, and trailing stop levels.
Positions are closed if the strategy is out of the valid time range.
Usage
Automated Trading Strategy:
Can be integrated with webhooks for automated execution on supported trading platforms.
Trend-Following Strategy:
Uses SuperTrend & SDI to identify trend direction and strength.
Risk-Managed Leverage Trading:
Supports position sizing, stop losses, and trailing stops.
Backtesting & Optimization:
Can be used for historical performance analysis before deploying live.
Conclusion
This strategy is suitable for traders who want to automate their trading using SuperTrend and SDI indicators. It incorporates risk management tools like stop loss, take profit, and trailing stop, making it adaptable for leverage trading. Traders can customize settings, conduct backtests, and integrate it with webhooks for real-time trade execution. 🚀
Important Note:
This script is provided for educational and template purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Ragi's Divergence HelperThis is Ragi's Divergence Helper is a TradingView indicator designed to track bullish and bearish divergences across multiple timeframes. It provides a clear, structured dashboard that remains fixed in a chosen corner of the chart for easy visibility.
Recommendations:
Put dashboard on lower left corner is less obstructive.
Use along with any RSI indicator for confirmations of bullish and bearish divergences.
Key Features:
✅ Timeframe Coverage: Monitors 5m, 10m, 15m, 30m, 1H, 2H, 4H, and Daily timeframes.
✅ Divergence Detection: Identifies whether a bullish (green) or bearish (red) divergence is present on each timeframe, displaying "None" if no divergence is detected.
✅ Divergence Lineup: Summarizes the overall market direction by checking if multiple timeframes align bullish or bearish.
✅ Customizable Settings: Users can adjust colors, panel position (Top Right, Bottom Right, Bottom Left, Top Left), and background color for better chart integration.
✅ Fixed & Readable Panel: Ensures the information is always visible without interfering with price action analysis.
How to Use It:
If multiple timeframes show bullish divergences, it may indicate a potential trend reversal or continuation to the upside.
If multiple timeframes show bearish divergences, it may signal a possible price drop or reversal downward.
When no divergences are present, it suggests no immediate divergence-based trading opportunity.
This indicator is ideal for traders looking for quick divergence insights across different timeframes without needing to analyze multiple indicators manually. 🚀
FVG Breakout Lite by tradingbauhausExplanation of "FVG Breakout Lite by tradingbauhaus"
This script is a trading strategy built for TradingView that helps you spot and trade "Fair Value Gaps" (FVGs)—price areas where the market moved quickly, leaving a gap that might act as support or resistance later. It’s designed to catch breakout opportunities when the price moves strongly in one direction, with extra filters to make trades more reliable. Here’s how it works and how you can use it:
What It Does
1. Finds Fair Value Gaps (FVGs):
A "Bullish FVG" happens when the price jumps up quickly, leaving a gap below where it didn’t trade much (e.g., today’s low is higher than the high from two bars ago).
A "Bearish FVG" is the opposite: the price drops fast, leaving a gap above (e.g., today’s high is lower than the low from two bars ago).
The script draws colored boxes on your chart to show these gaps: green for bullish, red for bearish.
2. Spots Breakouts:
It looks for "strong" FVGs by comparing them to a trend (based on the highest highs and lowest lows over a set period).
If a bullish gap forms above the recent highs, or a bearish gap below the recent lows, it’s marked as a breakout opportunity.
3. Adds a Volume Check:
Trades only happen if the market’s volume is higher than usual (e.g., 1.2x the average volume over the last 20 bars). This helps ensure the breakout has real momentum behind it.
4. Trades Automatically:
Long Trades (Buy): If a bullish breakout FVG forms and volume is high, it buys at the current price.
Short Trades (Sell): If a bearish breakout FVG forms with high volume, it sells short.
Each trade comes with a stop loss (to limit losses) and a take profit (to lock in gains), both adjustable by you.
5. Shows Mitigation Lines (Optional):
If you turn on "Display Mitigation Zones," it draws lines at the edge of each breakout FVG. These lines show where the price might return to "fill" the gap later, helping you see key levels.
6. Includes Webull Costs:
The script factors in real trading fees from Webull, like tiny SEC and FINRA fees for selling, and a daily margin cost if you’re borrowing money to trade. These don’t show up on the chart but affect the strategy’s performance in backtesting.
How to Use It
1. Add to Your Chart:
Copy the script into TradingView’s Pine Editor, click "Add to Chart," and it’ll start drawing FVGs and running the strategy.
2. Customize Settings:
Trend Period (Default: 25): How many bars it looks back to define the trend. Longer periods mean fewer but stronger signals.
Volume Lookback (Default: 20) & Volume Threshold (Default: 1.2): Adjust how it measures "high volume." Increase the threshold for stricter trades.
Stop Loss % (Default: 1.5%) & Take Profit % (Default: 3%): Set how much you’re willing to lose or aim to gain per trade.
Margin Rate % (Default: 8.74%): Webull’s rate for borrowing money—lower it if your account qualifies for a better rate.
Display Mitigation Zones (Default: On): Toggle this to see or hide the gap lines.
Colors: Change the green (bullish) and red (bearish) shades to suit your chart.
3. Backtest It:
Go to the "Strategy Tester" tab in TradingView to see how it performs on past data. It’ll show trades, profits, losses, and Webull fees included.
4. Watch It Work:
Green boxes mean bullish FVGs; red boxes mean bearish FVGs. If volume spikes and the price breaks out, you’ll see trades happen automatically.
What to Expect
Visuals: You’ll see colored boxes for FVGs and optional lines showing where they start. These help you spot key price zones even if you’re not trading.
Trades: It’s selective—only trades when FVGs align with a breakout and volume confirms it. Expect fewer trades but with higher potential.
Risk: The stop loss keeps losses in check, while the take profit aims for a 2:1 reward-to-risk ratio by default (3% gain vs. 1.5% loss).
Costs: Webull’s fees are small but baked into the results, so you’re seeing a realistic picture of profits.
Tips for Users
Test it on a small timeframe (like 5-minute charts) for day trading or a larger one (like daily) for swing trading.
Play with the volume threshold—if you get too few trades, lower it (e.g., 1.1); if too many, raise it (e.g., 1.5).
Watch how price reacts to the mitigation lines—they’re often support or resistance zones traders target.
This strategy is lightweight, focused, and built for traders who like breakouts with a bit of confirmation. It’s not foolproof (no strategy is!), but it gives you a clear way to trade FVGs with some smart filters.
