Price Heat Meter [ChartPrime]⯁ OVERVIEW
Price Heat Meter visualizes where price sits inside its recent range and turns that into an intuitive “temperature” read. Using rolling extremes, candles fade from ❄️ aqua (cold) near the lower bound to 🔥 red (hot) near the upper bound. The tool also trails recent extreme levels, tags unusually persistent extremes with a % “heat” label, and shows a bottom gauge (0–100%) with a live arrow so you can read market heat at a glance.
⯁ KEY FEATURES
Rolling Heat Map (0–100%):
The script measures where the close sits between the current Lowest Low and Highest High over the chosen Length (default 50).
Candles use a two-stage gradient: aqua → yellow (0–50%), then yellow → red (50–100%). This makes “how stretched are we?” instantly visible.
Dynamic Extremes with Time Decay:
When a new rolling High or Low is set, the script starts a faint horizontal trail at that price. Each bar that passes without a new extreme increases a counter; the line’s color gradually fades over time and fully disappears after ~100 bars, keeping the chart clean.
Persistent-Extreme Tags (Reversal Hints):
If an extreme persists for 40 bars (i.e., price hasn’t reclaimed or surpassed it), the tool stamps the original extreme pivot with its recorded Heat% at the moment the extreme formed.
• Upper extremes print a red % label (possible exhaustion/resistance context).
• Lower extremes print an aqua % label (possible exhaustion/support context).
Bottom Heat Gauge (0–100% Scale):
A compact, gradient bar renders at the bottom center showing the current Heat% with an arrow/label. ❄️ anchors the left (0%), 🔥 anchors the right (100%). The arrow adopts the same candle heat color for consistency.
Minimal Inputs, Clear Theme:
• Length (lookback window for H/L)
• Heat Color set (Cold / Mid / Hot)
The defaults give a balanced, legible gradient on most assets/timeframes.
Signal Hygiene by Design:
The meter doesn’t “call” reversals. Instead, it contextualizes price within its range and highlights the aging of extremes. That keeps it robust across regimes and assets, and ideal as a confluence layer with your existing triggers.
⯁ HOW IT WORKS (UNDER THE HOOD)
Range Model:
H = Highest(High, Length), L = Lowest(Low, Length). Heat% = 100 × (Close − L) / (H − L).
Extreme Tracking & Fade:
When High == H , we record/update the current upper extreme; same for Low == L on the lower side. If the extreme doesn’t change on the next bar, a counter increments and the plotted line’s opacity shifts along a 0→100 fade scale (visual decay).
40-Bar Persistence Labels:
On the bar after the extreme forms, the code stores the bar_index and the contemporaneous Heat% . If the extreme survives 40 bars, it places a % label at the original pivot price and index—flagging levels that were meaningfully “tested by time.”
Unified Color Logic:
Both candles and the gauge use the same two-stage gradient (Cold→Mid, then Mid→Hot), so your eye reads “heat” consistently across all elements.
⯁ USAGE
Treat >80% as “hot” and <20% as “cold” context; combine with your trigger (e.g., structure, OB, div, breakouts) instead of acting on heat alone.
Watch persistent extreme labels (40-bar marks) as reference zones for reaction or liquidity grabs.
Use the fading extreme lines as a memory map of where price last stretched—levels that slowly matter less as they decay.
Tighten Length for intraday sensitivity or increase it for swing stability.
⯁ WHY IT’S UNIQUE
Rather than another oscillator, Price Heat Meter translates simple market geometry (rolling extremes) into a readable temperature layer with time-aware extremes and a synchronized gauge . You get a continuously updated sense of stretch, persistence, and potential reversal context—without clutter or overfitting.
指標和策略
Institutional Session VWAP Bands (Zeiierman)█ Overview
Institutional Session VWAP Bands (Zeiierman) plots a clean, session-aware VWAP that restarts at the “True Close” (end of the first trading hour) for each session you enable (Sydney, Tokyo, London, New York). From that anchor, the script computes a classic volume-weighted average price plus optional standard-deviation bands to frame session fair value and dispersion.
By aligning VWAP to when institutional flows settle (the first hour), you get a reference that matches real execution behavior, yielding more credible pullbacks, retests, and mean-reversion reads inside each session.
█ How It Works
⚪ Session Detection
You choose the sessions (on/off), their UTC-aligned time windows, and colors. The script detects when each session is active on your chart timeframe.
⚪ True-Close Anchoring
At session open the indicator waits. When the first hour completes, it flips the anchor on and starts a fresh VWAP for that session, mirroring how many desks treat the first hour as the real close for the prior day’s positioning.
⚪ VWAP Core
From the true-close anchor, VWAP is calculated in the standard way: cumulative (price × volume) / cumulative volume using your chosen price source (default hlc3).
⚪ VWAP Bands (σ)
Upper/Lower bands are built using a running standard deviation of the price source since the anchor. You control the σ multiplier and line width, and you can optionally fill between the bands.
█ Why Sessions + True-Close Anchoring
⚪ Institutional Timing Matters
A new anchor at the first-hour close reflects where real flows have settled, giving you a session fair-value line that aligns with how many funds evaluate prices intraday.
⚪ Cleaner Session Reads
Because VWAP and σ-bands restart each session, your retests, squeezes, and mean-reversion signals are based on today’s order-flow context, not yesterday’s inertia.
Result: a session-true fair-value with dispersion bands that stay close to the action, improving the quality of pullback entries and risk framing.
█ How to Use
⚪ Session Fair-Value Guide
Treat VWAP as the magnet for intraday value. Impulsive moves away from VWAP that fold back often present retest opportunities.
⚪ σ-Band Reversion & Breaks
Reversion: Tests beyond the upper/lower band that snap back inside can flag exhaustion.
Trend: Price riding the VWAP band in a strong trend
⚪ Session Handoffs
When one session hands to the next, watch how price behaves around the new session’s VWAP Bands after its anchor triggers. Continuation through the new VWAP vs. rejection often sets the tone.
█ Settings
UTC: Choose the timezone used to evaluate session windows (e.g., UTC+2).
Sessions (Sydney, Tokyo, London, New York): Toggle visibility and define each HHMM-HHMM window.
VWAP Price: Source for weighting.
Band Multiplier (σ): Standard deviation multiplier.
█ Related publications
True Close – Institutional Trading Sessions (Zeiierman)
-----------------
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.
cd_RSI_Divergence_CxGeneral:
The Relative Strength Index (RSI) is a momentum oscillator widely used by traders in price analysis. In addition to showing overbought/oversold zones, divergences between RSI and price are also tracked to identify trading opportunities.
The general consensus is that oscillators alone are not sufficient for entries and should be evaluated together with multiple confirmations.
This oscillator is designed as an additional confirmation/compatible tool for strategies that already use higher time frame (HTF) sweeps and lower time frame (LTF) confirmations such as Change in State Delivery (CISD) or Change of Character (CHOCH).
Features:
While RSI oscillators are commonly displayed in line format (classic), this indicator also offers candlestick-style visualization.
Depending on the selected source, period length, and EMA length, RSI can be displayed as lines and/or candlesticks.
Divergence detection & tracking:
Price and RSI values are monitored on the chosen higher time frame (from the menu) to determine highs and lows. For divergence display, the user can choose between two modes:
1- Alignment with HTF Sweep
2- All
1 - Alignment with HTF Sweep:
First, the price must sweep the previous high/low of the candle on the HTF (i.e., break it) but fail to continue in that direction and return inside (sweep).
If this condition is met, RSI values are checked:
If price makes a high sweep but RSI fails to make a new high → divergence is confirmed.
If price makes a low sweep but RSI fails to make a new low → divergence is confirmed.
Divergence is then displayed on the chart.
2 - All:
In this mode, sweep conditions are ignored. Divergence is confirmed if:
Price makes a new high on HTF but RSI does not.
RSI makes a new high on HTF but price does not.
Price makes a new low on HTF but RSI does not.
RSI makes a new low on HTF but price does not.
Menu & Settings:
RSI visualization (source + period length + EMA period length)
Option to choose classic/candlestick style display
Color customization
Higher time frame selection
Adjustable HTF boxes and table display
Final notes:
This oscillator is designed as an additional confirmation tool for strategies based on HTF sweep + LTF CISD/CHOCH confirmation logic. The chosen HTF in the oscillator should match the time frame where sweeps are expected.
Divergence signals from this oscillator alone will not make you profitable.
For spot trades, monitoring sweeps and divergences on higher time frames is more suitable (e.g., Daily–H1 / Weekly–H4).
My personal usage preferences:
Entry TF: 3m
HTF bias: Daily + H1
Sweep + CISD: 30m / 3m
Market Structure: 3m
RSI divergence: HTF = 30m
If all of them align bullish or bearish ( timeframe alignment ), I try to take the trade.
I’d be glad to hear your feedback and suggestions for improvement.
Happy trading!
Fibonacci Sequence Circles [BigBeluga]🔵 Overview
The Fibonacci Sequence Circles is a unique and visually intuitive indicator designed for the TradingView platform. It combines the principles of the Fibonacci sequence with geometric circles to help traders identify potential support and resistance levels, as well as price expansion zones. The indicator dynamically anchors to key price points, such as pivot highs, pivot lows, or timeframe changes (daily, weekly, monthly), and generates Fibonacci-based circles around these anchor points.
⚠️For proper indicators visualization use simple not logarithmic chart
🔵 Key Features
Customizable Anchor Points : The indicator can be anchored to Pivot Highs , Pivot Lows , or timeframe changes ( Daily, Weekly, Monthly ), making it adaptable to various trading strategies.
Fibonacci Sequence Logic : The circles are generated using the Fibonacci sequence, where the diameter of each circle is the sum of the diameters of the two preceding circles.
first = start_val
secon = start_val + int(start_val/2)
three = first + secon
four = secon + three
five = three + four
six = four + five
seven = five + six
eight = six + seven
nine = seven + eight
ten = eight + nine
Adjustable Start Value : Traders can modify the starting value of the sequence to scale the circles larger or smaller, ensuring they fit the current price action.
Color Customization : Each circle can be individually enabled or disabled, and its color can be customized for better visual clarity.
Visual Labels : The diameter of each circle (in bars) is displayed next to the circle, providing additional context for analysis.
🔵 Usage
Step 1: Set the Anchor Point - Choose the anchor type ( Pivot High, Pivot Low, Daily, Weekly, Monthly ) to define the center of the Fibonacci circles.
Step 2: Adjust the Start Value - Modify the starting value of the Fibonacci sequence to scale the circles according to the price action.
Step 3: Customize Circle Colors - Enable or disable specific circles and adjust their colors for better visualization.
Step 4: Analyze Price Action - Use the circles to identify potential support/resistance levels, price expansion zones, or trend continuation areas.
Step 5: Combine with Other Tools - Enhance your analysis by combining the indicator with other technical tools like trendlines, moving averages, or volume indicators.
The Fibonacci Sequence Circles is a powerful and flexible tool for traders who rely on Fibonacci principles and geometric patterns. Its ability to anchor to key price points and dynamically scale based on market conditions makes it suitable for various trading styles and timeframes. Whether you're a day trader or a long-term investor, this indicator can help you visualize and anticipate price movements with greater precision.
Volumetric Support and Resistance [BackQuant]Volumetric Support and Resistance
What this is
This Overlay locates price levels where both structure and participation have been meaningful. It combines classical swing points with a volume filter, then manages those levels on the chart as price evolves. Each level carries:
• A reference price (support or resistance)
• An estimate of the volume that traded around that price
• A touch counter that updates when price retests it
• A visual box whose thickness is scaled by volatility
The result is a concise map of candidate support and resistance that is informed by both price location and how much trading occurred there.
How levels are built
Find structural pivots uses ta.pivothigh and ta.pivotlow with a user set sensitivity. Larger sensitivity looks for broader swings. Smaller sensitivity captures tighter turns.
Require meaningful volume computes an average volume over a lookback period and forms a volume ratio for the current bar. A pivot only becomes a level when the ratio is at least the volume significance multiplier.
Avoid clustering checks a minimum level distance (as a percent of price). If a candidate is too close to an existing level, it is skipped to keep the map readable.
Attach a volume strength to the level estimates volume strength by averaging the volume of recent bars whose high to low range spans that price. Levels with unusually high strength are flagged as high volume.
Store and draw levels are kept in an array with fields for price, type, volume, touches, creation bar, and a box handle. On the last bar, each level is drawn as a horizontal box centered at the price with a vertical thickness scaled by ATR. Borders are thicker when the level is marked high volume. Boxes can extend into the future.
How levels evolve over time
• Aging and pruning : levels are removed if they are too old relative to the lookback or if you exceed the maximum active levels.
• Break detection : a level can be removed when price closes through it by more than a break threshold set as a fraction of ATR. Toggle with Remove Broken Levels.
• Touches : when price approaches within the break threshold, the level’s touch counter increments.
Visual encoding
• Boxes : support boxes are green, resistance boxes are red. Box height uses an ATR based thickness so tolerance scales with volatility. Transparency is fixed in this version. Borders are thicker on high volume levels.
• Volume annotation : show the estimated volume inside the box or as a label at the right. If a level has more than one touch, a suffix like “(2x)” is appended.
• Extension : boxes can extend a fixed number of bars into the future and can be set to extend right.
• High volume bar tint : bars with volume above average × multiplier are tinted green if up and red if down.
Inputs at a glance
Core Settings
• Level Detection Sensitivity — pivot window for swing detection
• Volume Significance Multiplier — minimum volume ratio to accept a pivot
• Lookback Period — window for average volume and maintenance rules
Level Management
• Maximum Active Levels — cap on concurrently drawn levels
• Minimum Level Distance (%) — required spacing between level prices
Visual Settings
• Remove Broken Levels — drop a level once price closes decisively through it
• Show Volume Information on Levels — annotate volume and touches
• Extend Levels to Right — carry boxes forward
Enhanced Visual Settings
• Show Volume Text Inside Box — text placement option
• Volume Based Transparency and Volume Based Border Thickness — helper logic provided; current draw block fixes transparency and increases border width on high volume levels
Colors
• Separate colors for support, resistance, and their high volume variants
How it can be used
• Trade planning : use the most recent support and resistance as reference zones for entries, profit taking, or stop placement. ATR scaled thickness provides a practical buffer.
• Context for patterns : combine with breakouts, pullbacks, or candle patterns. A breakout through a high volume resistance carries more informational weight than one through a thin level.
• Prioritization : when multiple levels are nearby, prefer high volume or higher touch counts.
• Regime adaptation : widen sensitivity and increase minimum distance in fast regimes to avoid clutter. Tighten them in calm regimes to capture more granularity.
Why volume support and resistance is used in trading
Support and resistance relate to willingness to transact at certain prices. Volume measures participation. When many contracts change hands near a price:
• More market players hold inventory there, often creating responsive behavior on retests
• Order flow can concentrate again to defend or to exit
• Breaks can be cleaner as trapped inventory rebalances
Conditioning level detection on above average activity focuses attention on prices that mattered to more participants.
Alerts
• New Support Level Created
• New Resistance Level Created
• Level Touch Alert
• Level Break Alert
Strengths
• Dual filter of structure and participation, reducing trivial swing points
• Self cleaning map that retires old or invalid levels
• Volatility aware presentation using ATR based thickness
• Touch counting for persistence assessment
• Tunable inputs for instrument and timeframe
Limitations and caveats
• Volume strength is an approximation based on bars spanning the price, not true per price volume
• Pivots confirm after the sensitivity window completes, so new levels appear with a delay
• Narrow ranges can still cluster levels unless minimum distance is increased
• Large gaps may jump past levels and immediately trigger break conditions
Practical tuning guide
• If the chart is crowded: increase sensitivity, increase minimum level distance, or reduce maximum active levels
• If useful levels are missed: reduce volume multiplier or sensitivity
• If you want stricter break removal: increase the ATR based break threshold in code
• For instruments with session patterns: tailor the lookback period to a representative window
Interpreting touches and breaks
• First touch after creation is a validation test
• Multiple shallow touches suggest absorption; a later break may then travel farther
• Breaks on high current volume merit extra attention
Multi timeframe usage
Levels are computed on the active chart timeframe. A common workflow is to keep a higher timeframe instance for structure and a lower timeframe instance for execution. Align trades with higher timeframe levels where possible.
Final Thoughts
This indicator builds a lightweight, self updating map of support and resistance grounded in swings and participation. It is not a full market profile, but it captures much of the practical benefit with modest complexity. Treat levels as context and decision zones, not guarantees. Combine with your entry logic and risk controls.
Polynomial Regression HeatmapPolynomial Regression Heatmap – Advanced Trend & Volatility Visualizer
Overview
The Polynomial Regression Heatmap is a sophisticated trading tool designed for traders who require a clear and precise understanding of market trends and volatility. By applying a second-degree polynomial regression to price data, the indicator generates a smooth trend curve, augmented with adaptive volatility bands and a dynamic heatmap. This framework allows users to instantly recognize trend direction, potential reversals, and areas of market strength or weakness, translating complex price action into a visually intuitive map.
Unlike static trend indicators, the Polynomial Regression Heatmap adapts to changing market conditions. Its visual design—including color-coded candles, regression bands, optional polynomial channels, and breakout markers—ensures that price behavior is easy to interpret. This makes it suitable for scalping, swing trading, and longer-term strategies across multiple asset classes.
How It Works
The core of the indicator relies on fitting a second-degree polynomial to a defined lookback period of price data. This regression curve captures the non-linear nature of market movements, revealing the true trajectory of price beyond the distortions of noise or short-term volatility.
Adaptive upper and lower bands are constructed using ATR-based scaling, surrounding the regression line to reflect periods of high and low volatility. When price moves toward or beyond these bands, it signals areas of potential overextension or support/resistance.
The heatmap colors each candle based on its relative position within the bands. Green shades indicate proximity to the upper band, red shades indicate proximity to the lower band, and neutral tones represent mid-range positioning. This continuous gradient visualization provides immediate feedback on trend strength, market balance, and potential turning points.
Optional polynomial channels can be overlaid around the regression curve. These three-line channels are based on regression residuals and a fixed width multiplier, offering additional reference points for analyzing price deviations, trend continuation, and reversion zones.
Signals and Breakouts
The Polynomial Regression Heatmap includes statistical pivot-based signals to highlight actionable price movements:
Buy Signals – A triangular marker appears below the candle when a pivot low occurs below the lower regression band.
Sell Signals – A triangular marker appears above the candle when a pivot high occurs above the upper regression band.
These markers identify significant deviations from the regression curve while accounting for volatility, providing high-quality visual cues for potential entry points.
The indicator ensures clarity by spacing markers vertically using ATR-based calculations, preventing overlap during periods of high volatility. Users can rely on these signals in combination with heatmap intensity and regression slope for contextual confirmation.
Interpretation
Trend Analysis :
The slope of the polynomial regression line represents trend direction. A rising curve indicates bullish bias, a falling curve indicates bearish bias, and a flat curve indicates consolidation.
Steeper slopes suggest stronger momentum, while gradual slopes indicate more moderate trend conditions.
Volatility Assessment :
Band width provides an instant visual measure of market volatility. Narrow bands correspond to low volatility and potential consolidation, whereas wide bands indicate higher volatility and significant price swings.
Heatmap Coloring :
Candle colors visually represent price position within the bands. This allows traders to quickly identify zones of bullish or bearish pressure without performing complex calculations.
Channel Analysis (Optional) :
The polynomial channel defines zones for evaluating potential overextensions or retracements. Price interacting with these lines may suggest areas where mean-reversion or trend continuation is likely.
Breakout Signals :
Buy and Sell markers highlight pivot points relative to the regression and volatility bands. These are statistical signals, not arbitrary triggers, and should be interpreted in context with trend slope, band width, and heatmap intensity.
Strategy Integration
The Polynomial Regression Heatmap supports multiple trading approaches:
Trend Following – Enter trades in the direction of the regression slope while using the heatmap for momentum confirmation.
Pullback Entries – Use breakouts or deviations from the regression bands as low-risk entry points during trend continuation.
Mean Reversion – Price reaching outer channel boundaries can indicate potential reversal or retracement opportunities.
Multi-Timeframe Alignment – Overlay on higher and lower timeframes to filter noise and improve entry timing.
Stop-loss levels can be set just beyond the opposing regression band, while take-profit targets can be informed by the distance between the bands or the curvature of the polynomial line.
Advanced Techniques
For traders seeking greater precision:
Combine the Polynomial Regression Heatmap with volume, momentum, or volatility indicators to validate signals.
Observe the width and slope of the regression bands over time to anticipate expanding or contracting volatility.
Track sequences of breakout signals in conjunction with heatmap intensity for systematic trade management.
Adjusting regression length allows customization for different assets or timeframes, balancing responsiveness and smoothing. The combination of polynomial curve, adaptive bands, heatmap, and optional channels provides a comprehensive statistical framework for informed decision-making.
Inputs and Customization
Regression Length – Determines the number of bars used for polynomial fitting. Shorter lengths increase responsiveness; longer lengths improve smoothing.
Show Bands – Toggle visibility of the ATR-based regression bands.
Show Channel – Enable or disable the polynomial channel overlay.
Color Settings – Customize bullish, bearish, neutral, and accent colors for clarity and visual preference.
All other internal parameters are fixed to ensure consistent statistical behavior and minimize potential misconfiguration.
Why Use Polynomial Regression Heatmap
The Polynomial Regression Heatmap transforms complex price action into a clear, actionable visual framework. By combining non-linear trend mapping, adaptive volatility bands, heatmap visualization, and breakout signals, it provides a multi-dimensional perspective that is both quantitative and intuitive.
This indicator allows traders to focus on execution, interpret market structure at a glance, and evaluate trend strength, overextensions, and potential reversals in real time. Its design is compatible with scalping, swing trading, and long-term strategies, providing a robust tool for disciplined, data-driven trading.
SExI - Super Exhaustion Indicator [Da_Prof]As we know, the RSI can remain at "overbought" or "oversold" levels for long periods of time while the price continues in that direction. The SExI (Super Exhaustion Indicator) is an indicator designed to help detect exhaustion of strong moves.
The SExI is a combination of the RSI and "upper" Aroon. For the indicator to trigger, the RSI has to be above or below a top/bottom trigger line when the Aroon has had a set number of drives up or down correspondingly. An Aroon top drive is defined as the Aroon hitting 100% on the current candle when the previous candle was below 100%. An Aroon bottom drive is defined as the Aroon hitting 0% on the current candle when the previous candle was above 0%. Consecutive top or bottom drives are counted and exhaustion triggers when these drives hit a setpoint (default is 5 drives = the Aroon exhaustion trigger). When Aroon exhaustion is triggered and the RSI is correspondingly above/below a trigger line, the overall indicator signals exhaustion. There are two lines for bottoms and tops, one each for a "normal" trigger and and an "extreme" trigger.
The Aroon drives are visualized at the top and bottom of the indicator. The RSI is plotted as a line that crosses top and bottom trigger lines. There are extreme trigger values for both the bottom and top exhaustion triggers.
--Da_Prof
Low Volatility Breakout in Trend
█ OVERVIEW
"Low Volatility Breakout in Trend" is a technical analysis tool that identifies periods of low-volatility consolidation within an ongoing trend and signals potential breakouts aligned with the trend's direction. The indicator detects trends using a simple moving average (SMA) of price, identifies consolidation zones based on the size of candle bodies, and displays the percentage change in volume (volume delta) at the breakout moment.
█ CONCEPTS
The core idea of the indicator is to pinpoint moments where traders can join an ongoing trend by capitalizing on breakouts from consolidation zones, supported by additional information such as volume delta. It provides clear visualizations of trends, consolidation zones, and breakout signals to facilitate trading decisions.
Why Use It?
* Breakout Identification: The indicator locates low-volatility consolidation zones (measured by the size of individual candle bodies, not the price range of the consolidation) and signals breakouts, enabling traders to join the trend at key moments.
* Volume Analysis: Displays the percentage change in volume (delta) relative to its simple moving average, providing insight into market activity rather than acting as a signal filter.
* Visual Clarity: Colored trend lines, consolidation boxes (drawn only after the breakout candle closes, not on subsequent candles), and volume delta labels enable quick chart analysis.
* Flexibility: Adjustable parameters, such as the volatility window length or SMA period, allow customization for various trading strategies and markets.
How It Works
* Trend Detection: The indicator calculates a simple moving average (SMA) of price (default: based on the midpoint of high/low) and creates dynamic trend bands, offset by a percentage of the average candle height (band scaling). A price above the upper band signals an uptrend, while a price below the lower band indicates a downtrend. Trend changes occur not when the price crosses the SMA but when it crosses above the upper band or below the lower band (offset by the average candle height multiplied by the scaling factor).
* Consolidation Identification: Identifies low-volatility zones when the candle body size is smaller than the average body size over a specified period (default: 20 candles) multiplied by a volatility threshold — the maximum allowable body size as a percentage of the average body (e.g., 2 means the candle body must be less than twice the average body to be considered low-volatility).
* Breakout Signals: A breakout occurs when the candle body exceeds the volatility threshold, is larger than the maximum body in the consolidation, and aligns with the trend direction (bullish in an uptrend, bearish in a downtrend).
* Visualization: Draws a trend line with a gradient, consolidation boxes (appearing only after the breakout candle closes, marking the consolidation zone), and volume delta labels. Optionally displays breakout signal arrows.
* Signals and Alerts: The indicator generates signals for bullish and bearish breakouts, including the volume delta percentage. Alerts are an additional feature that can be enabled for notifications.
Settings and Customization
* Volatility Window: Length of the period for calculating the average candle body size (default: 20).
* Volatility Threshold: Maximum candle body size as a percentage of the average body (default: 2).
* Minimum Consolidation Bars: Number of candles required for a consolidation (default: 10).
* SMA Length for Trend: Period of the SMA for trend detection (default: 100).
* Band Scaling: Offset of trend bands as a percentage of the average candle height (default: 250%), determining the distance from the SMA.
* Visualization Options: Enable/disable consolidation boxes (Show Consolidation Boxes, drawn after the breakout candle closes), volume delta labels (Show Volume Delta Labels), and breakout signals (Show Breakout Signals, e.g., triangles).
* Colors: Customize colors for the trend line, consolidation boxes, and volume delta labels.
█ OTHER SECTIONS
Usage Examples
* Joining an Uptrend: When the price breaks out of a consolidation in an uptrend with a volume delta of +50%, open a long position; the signal is stronger if the breakout candle surpasses a local high.
* Avoiding False Breakouts: Ignore breakout signals with low volume delta (e.g., below 0%) and combine the indicator with other tools (e.g., support/resistance levels or oscillators) to confirm moves in low-activity zones.
Notes for Users
* On markets that do not provide volume data, the indicator will not display volume delta — disable volume labels and enable breakout signals (e.g., triangles) instead.
* Adjust parameters to suit the market's characteristics to minimize noise.
* Combine with other tools, such as Fibonacci levels or oscillators, for greater precision.
Best Intraday Indicators It's not any new indicator. Its only version change and suitable name distinct from the oiginal one.
Best Intraday Indicators This is not any new indicator. It has been converted from version 5 to 6 and a little name change to look separate from version5 one
HiLo Stop Indicator [AlphaGroup.Live]Don't give your money back!
The HiLo Stop is a classic trend-following tool designed to keep trading simple and disciplined.
It plots a single continuous “stair-step” line that switches sides when the trend changes:
• In uptrend , the line appears below price as a green stop.
• In downtrend , the line appears above price as a red stop.
This indicator is commonly used as:
• A trailing stop to protect open profits.
• A trend filter to confirm buy/sell direction.
• A visual guide to avoid trading against the trend.
Key features:
• Clean “one line only” design — never plots both sides at once.
• Adjustable HiLo period for sensitivity control.
• Color-coded trend visualization for quick decision making.
How traders apply it:
• Take trades in the direction of the HiLo line.
• Place stop-loss orders at or near the line.
• Close or reverse positions when price closes across the stop.
About us:
AlphaGroup.Live develops battle-tested trading systems and tools for real traders — indicators, bots, dashboards, and strategy manuals.
Visit alphagroup.live to get our free eBook: The Ultimate 100 Trading Strategies .
Accumulation / Manipulation / Distribution [mqsxn]Spot, box, and label classic A→M→D market structure in real time.
This tool objectively classifies price action into Accumulation, Manipulation, and Distribution phases, draws a box around each qualifying segment, and (optionally) only reveals clean, direct A→M→D triplets. It works on any symbol and timeframe, and supports nested triplets (smaller AMD sequences appearing inside larger ones).
Accumulation (A) — Compression bars: range is small vs ATR and body is relatively small.
Manipulation (M) — Stop-run + rejection: takes out a prior swing (high or low), shows a long wick, and (optionally) closes back inside the prior range.
Distribution (D) — Expansion + drive: range expands vs ATR, close is near an extreme and aligns with EMA slope.
Contiguous bars with the same phase form a segment. Each finalized segment becomes a box spanning that segment’s high/low and first/last bars. Segments below your minimum bar thresholds are discarded (no box). Labels are plain text at the top-center of each visible box; label color matches the box fill, and you can nudge it upward by a configurable tick offset.
When three consecutive segments form A→M→D, the indicator can (optionally) draw an outline around their combined span and, if you enable the filter, hide everything that isn’t part of such a direct triplet (no border, no label on non-triplet segments).
Key features
- Objective AMD detection (ATR, wick fraction, EMA slope, swing breaks)
- Minimum bars per phase (default 3/3/3) to avoid micro noise
- Only show direct A→M→D filter to keep charts clean
- Triplet outline box (configurable history length)
- Top-center labels (plain text, no background; color = box fill; configurable vertical offset)
- Optional A/M/D dots at the top of the chart for quick bar-by-bar debugging
- Works on any timeframe; supports nested AMD sequences
Inputs
Core
- ATR Lookback (14)
- Trend EMA (21)
- Swing Ref (10)
Accumulation
- Range < ATR × (0.55)
- Body / Range ≤ (0.45)
Manipulation
- Min Wick Fraction (0.6)
- Close Back Inside Prior Range (On)
Distribution
- Range ≥ ATR × (1.2)
- Close near extreme ≤ (0.25)
Minimum Candles per Section
- Min bars for Accumulation (3)
- Min bars for Manipulation (3)
- Min bars for Distribution (3)
Visualization
- Phase fill colors (A / M up / M down / D up / D down)
- Box Border color
- Extend boxes right (bars)
- Show Phase Labels (On)
- Label Font Size
- Label Offset (ticks above box top)
Filters
- Only show boxes that are part of a direct A→M→D sequence (On by default)
AMD Triplet Outline
- Draw outline (On)
- Outline Border color
- Keep last N outlines (20)
Debug / Markers
- Show A/M/D dots at top (Off by default)
Advanced
- Priority: Manipulation overrides others (On)
- Carry last phase through “None” bars (On)
Follow @mqsxn for updates on this indicator, and find my strategies and more in my paid Discord: whop.com
EdgeFlow Pullback [CHE]EdgeFlow Pullback \ — Icon & Visual Guide (Deep Dive)
TL;DR (1-minute read)
⏳ Hourglass = Pending verdict. A countdown runs from the signal bar until your Evaluation Window ends.
✔ Checkmark (green) = OK. After the evaluation window, price (HLC3) is on the correct side of the EMA144 for that signal’s direction.
✖ Cross (red) = Fail. After the evaluation window, price (HLC3) is on the wrong side of the EMA144.
▲ / ▼ Triangles = the actual PB Long/Short signal bar (sequence completed in time).
Small lime/red crosses = visual markers when HLC3 crosses EMA144 (context, not trade signals).
Orange line = EMA144 (baseline/trend filter).
T3 line color = Context signal: green when T3 is below HLC3, red when T3 is above HLC3.
Icon Glossary (What each symbol means)
1) ⏳ Hourglass — “Pending / Countdown”
Appears immediately when a PB signal fires (Long or Short).
Shows `⏳ currentBars / EvaluationBars` (e.g., `⏳ 7/30`).
The label stays anchored at the signal bar and its original price level (it does not drift with price).
During ⏳ you get no verdict yet. It’s simply the waiting period before grading.
2) ✔ Checkmark (green) — “Condition met”
Appears after the Evaluation Window completes.
Logic:
Long signal: HLC3 (typical price) is above EMA144 → ✔
Short signal: HLC3 is below EMA144 → ✔
The label turns green and text says “✔ … Condition met”.
This is rules-based grading, not PnL. It tells you if the post-signal structure behaved as expected.
3) ✖ Cross (red) — “Condition failed”
Appears after the Evaluation Window completes if the condition above is not met.
Label turns red with “✖ … Condition failed”.
Again: rules-based verdict, not a guarantee of profit or loss.
4) ▲ “PB Long” triangle (below bar)
Marks the exact bar where the 4-step Long sequence completed within the allowed window.
That bar is your signal bar for Long setups.
5) ▼ “PB Short” triangle (above bar, red)
Same as above, for Short setups.
6) Lime/Red “+” crosses (tiny cross markers)
Lime cross (below bar): HLC3 crosses above EMA144 (crossover).
Red cross (above bar): HLC3 crosses below EMA144 (crossunder).
These crosses are context markers; they’re not entry signals by themselves.
The Two Clocks (Don’t mix them up)
There are two different time windows at play:
1. Signal Window — “Max bars for full sequence”
A pullback signal (Long or Short) only fires if the 4-step sequence completes within this many bars.
If it takes too long: reset (no signal, no triangle, no label).
Purpose: avoid stale setups.
2. Evaluation Window — “Evaluation window after signal (bars)”
Starts after the signal bar. The label shows an ⏳ countdown.
When it reaches the set number of bars, the indicator checks whether HLC3 is on the correct side of EMA144 for the signal direction.
Then it stamps the signal with ✔ (OK) or ✖ (Fail).
Timeline sketch (Long example):
```
→ ▲ PB Long at bar t0
Label shows: ⏳ 0/EvalBars
t0+1, t0+2, ... t0+EvalBars-1 → still ⏳
At t0+EvalBars → Check HLC3 vs EMA144
Result → ✔ (green) or ✖ (red)
(Label remains anchored at t0 / signal price)
```
What Triggers the PB Signal (so you know why triangles appear)
LONG sequence (4 steps in order):
1. T3 falling (the pullback begins)
2. HLC3 crosses under EMA144
3. T3 rising (pullback ends)
4. HLC3 crosses over EMA144 → PB Long triangle
SHORT sequence (mirror):
1. T3 rising
2. HLC3 crosses over EMA144
3. T3 falling
4. HLC3 crosses under EMA144 → PB Short triangle
If steps 1→4 don’t complete in time (within Max bars for full sequence), the sequence is abandoned (no signal).
Lines & Colors (quick interpretation)
EMA144 (orange): your baseline trend filter.
T3 (green/red):
Green when T3 < HLC3 (price above the smoothed path; often supportive in up-moves)
Red when T3 > HLC3 (price below the smoothed path; often pressure in down-moves)
HLC3 (gray): the typical price the logic uses ( (H+L+C)/3 ).
Label Behavior (anchoring & cleanup)
Each signal creates one label at the signal bar with ⏳.
The label is position-locked: it stays at the same bar index and y-price it was born at.
After the evaluation check, the label text and color update to ✔/✖, but position stays fixed.
The indicator keeps only the last N labels (your “Show only the last N labels” input). Older ones are deleted to reduce clutter.
What You Can (and Can’t) Infer from ✔ / ✖
✔ OK: Structure behaved as intended during the evaluation window (HLC3 finished on the correct side of EMA144).
Inference: The pullback continued in the expected direction post-signal.
✖ Fail: Structure ended up opposite the expectation.
Inference: The pullback did not continue cleanly (chop, reversal, or insufficient follow-through).
> Important: ✔/✖ is not profit or loss. It’s an objective rule check. Use it to identify market regimes where your entries perform best.
Input Settings — How they change the visuals
T3 length:
Shorter → faster turns, more signals (and more noise).
Longer → smoother turns, fewer but cleaner sequences.
T3 volume factor (0–1, default 0.7):
Higher → more curvature/smoothing.
Typical sweet spot: 0.5–0.9.
EMA length (baseline) default 144:
Smaller → faster baseline, more cross events, more aggressive signals.
Larger → slower, stricter trend confirmation.
Max bars for full sequence (signal window):
Smaller → only fresh, snappy pullbacks can signal.
Larger → allows slower pullbacks to complete.
Evaluation window (after signal):
Smaller → verdict arrives quickly (less tolerance).
Larger → gives the trade more time to prove itself structurally.
Show only the last N labels:
Controls chart clutter. Increase for more history, decrease for focus.
(FYI: The “Debug” toggle exists but doesn’t draw extra overlays in this version.)
Practical Reading Flow (how to use visuals in seconds)
1. Triangles catch your eye: ▲ for Long, ▼ for Short. That’s the setup completion.
2. ⏳ label starts—don’t judge yet; let the evaluation run.
3. Watch EMA slope and T3 color for context (trend + pressure).
4. After the window: ✔/✖ stamps the outcome. Log what the market was like when you got ✔.
Common “Why did…?” Questions
Q: Why did I get no triangle even though T3 turned and EMA crossed?
A: The 4 steps must happen in order and within the Signal Window. If timing breaks, the sequence resets.
Q: Why did my label stay ⏳ for so long?
A: That’s by design until the Evaluation Window completes. The verdict only happens at the end of that window.
Q: Why is ✔/✖ different from my PnL?
A: It’s a structure check, not a profit check. It doesn’t know your entries/exits/stops.
Q: Do the small lime/red crosses mean buy/sell?
A: No. They’re context markers for HLC3↔EMA crosses, useful inside the sequence but not standalone signals.
Pro Tips (turn visuals into decisions)
Entry: Use the ▲/▼ triangle as your trigger, in trend direction (check EMA slope/market structure).
Stop: Behind the pullback swing around the signal bar.
Exit: Structure levels, R-multiples, or a reverse HLC3↔EMA cross as a trailing logic.
Tuning:
Intraday/volatile: shorter T3/EMA + tighter Signal Window.
Swing/slow: default 144 EMA + moderate windows.
Learn quickly: Filter your chart to show only ✔ or only ✖ windows in your notes; see which sessions, assets, and volatility regimes suit the system.
Disclaimer
No indicator guarantees profits. Sweep2Trade Pro \ is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Happy trading
Chervolino
OMN Heikin Ashi Candle Direction Reversal AlertThis is a indicator to let you know once Heikin Ashi candle has changed direction compared to the candle before it. Set an alert on the indicator to get an audible alert.
FVG Fusion – by EB | Smart Money ConceptsFVG Fusion – by EB is an advanced indicator based on Smart Money Concepts (SMC).
It automatically detects Fair Value Gaps (FVG) on multiple timeframes, along with key PDH/PDL (Daily Previous) and PWH/PWL (Weekly Previous) levels.
🔹 Key Features
Automatic detection of bullish and bearish FVGs
Multi-timeframe (M5 to D1)
PDH/PDL and PWH/PWL levels with lightning bolts
Configurable alerts when tapping on a FVG
Customizable colors, thicknesses, and automatic clearing.
💡 Ideal for traders who use Price Action and SMC to identify imbalances and high-probability zones.
Best Intraday ComboThis is an attempt to upgrading pine versions of several indicators for trading. It has no originality, and I profusely acknowledge the contributions of creator of the indicators for helping traders.
Harmonic Patterns + Fib [CRT Trader]Overview
The Harmonic Patterns Fibonacci indicator is an advanced technical analysis tool designed to automatically detect and visualize Fibonacci-based harmonic patterns on financial charts. This indicator helps traders identify high-probability reversal zones and potential entry/exit points based on precise mathematical relationships.
Supported Patterns
5-Point Patterns (X-A-B-C-D Structure)
Gartley Pattern: The most common harmonic pattern with reliable reversal signals
AB/XA = 0.618, BC/AB = 0.618, CD/BC = 1.272, AD/XA = 0.786
Butterfly Pattern: Strong reversal pattern indicating potential trend changes
AB/XA = 0.786, BC/AB = 0.618, CD/BC = 1.618, AD/XA = 1.270
Bat Pattern: Medium-term reversal pattern with high accuracy
AB/XA = 0.382, BC/AB = 0.886, CD/BC = 1.618, AD/XA = 0.886
Crab Pattern: Aggressive reversal pattern with extended D point
AB/XA = 0.618, BC/AB = 0.886, CD/BC = 2.240, AD/XA = 1.618
Shark Pattern: Trend continuation or reversal pattern
AB/XA = 0.618, BC/AB = 1.130, CD/BC = 1.618, AD/XA = 0.886
4-Point Pattern (A-B-C-D Structure)
ABCD Pattern: Basic harmonic structure forming the foundation of all patterns
BC/AB = 0.382-0.886, CD/BC = 1.130-2.618
Key Features
Fibonacci Validation
Each pattern is validated against precise Fibonacci ratios with customizable tolerance
Mathematical accuracy ensures reliable pattern recognition
Eliminates false signals through strict ratio requirements
Performance Optimization
Pivot Detection: Automatically identifies significant highs and lows
Scan Frequency Control: Adjustable scanning intervals to optimize performance
Early Exit Algorithms: Efficient computation to reduce processing load
Pattern Limit: Control maximum number of patterns displayed
Visual Elements
Pattern Lines: Clear visualization of pattern structure with colored lines
Fill Areas: Highlighted zones between pattern legs
Point Labels: X, A, B, C, D markers for easy identification
Fibonacci Levels: Optional Fibonacci retracement/extension levels
Bullish/Bearish Colors: Green for bullish, red for bearish patterns
Customizable Settings
Pattern Selection: Enable/disable specific pattern types
Tolerance Adjustment: Fine-tune pattern recognition sensitivity (5-30%)
Color Customization: Personalize visual appearance
Information Table: Optional statistics display
Trading Applications
Entry Signals
Reversal Zones: Identify high-probability reversal areas at pattern completion
Confluence Trading: Combine with other technical indicators for confirmation
Risk Management: Use pattern structure to define stop-loss levels
Market Analysis
Support/Resistance: Pattern points often act as future S/R levels
Price Targets: Fibonacci extensions provide potential profit targets
Market Structure: Understand underlying market geometry and rhythm
Strategy Integration
Swing Trading: Ideal for medium-term position entries
Position Trading: Long-term trend reversal identification
Day Trading: Intraday reversal patterns on lower timeframes
How to Use
Add to Chart: Apply the indicator to any timeframe and instrument
Configure Settings: Adjust tolerance, colors, and pattern types as needed
Wait for Completion: Patterns are valid only when D point is formed
Confirm with Volume: Look for volume confirmation at pattern completion
Set Stop Loss: Place stops beyond X point for 5-point patterns, or A point for ABCD
Target Levels: Use Fibonacci extensions for profit targets
Important Notes
Pattern Completion: Wait for full pattern formation before taking action
Market Context: Consider overall market trend and conditions
Risk Management: Always use appropriate position sizing and stops
Backtesting: Test the indicator on historical data before live trading
Multiple Timeframes: Analyze patterns across different timeframes for confirmation
Technical Requirements
Lookback Period: Adjustable pivot detection sensitivity
Depth Setting: Controls how far back the algorithm searches for patterns
Memory Efficient: Optimized for real-time performance without lag
This indicator is suitable for all experience levels, from beginners learning harmonic patterns to advanced traders seeking automated pattern recognition. The combination of mathematical precision and visual clarity makes it an essential tool for harmonic trading strategies.
Moving Average Adaptive RSI [BackQuant]Moving Average Adaptive RSI
What this is
A momentum oscillator that reshapes classic RSI into a zero-centered column plot and makes it adaptive. It builds RSI from two parts:
• A sensitivity window that scans several recent bars to capture the strongest up and down impulses.
• A selectable moving average that smooths those impulses before computing RSI.
The output ranges roughly from −100 to +100 with 0 as the midline, with optional extra smoothing and built-in divergence detection.
How it works
Impulse extraction
• For each bar the script inspects the last rsi_sen bars and collects upward and downward price changes versus the current price.
• It keeps the maximum upward change and maximum downward change from that window, emphasizing true bursts over single-bar noise.
MA-based averaging
• The up and down impulse series are averaged with your chosen MA over rsi_len bars.
• Supported MA types: SMA, EMA, DEMA, WMA, HMA, SMMA (RMA), TEMA.
Zero-centered RSI transform
• RS = UpMA ÷ DownMA, then mapped to a symmetric scale: 100 − 200 ÷ (1 + RS) .
• Above 0 implies positive momentum bias. Below 0 implies negative momentum bias.
Optional extra smoothing
• A second smoothing pass can be applied to the final oscillator using smoothing_len and smooth_type . Toggle with “Use Extra Smoothing”.
Visual encoding
• The oscillator is drawn as columns around the zero line with a gradient that intensifies toward extremes.
• Static bands mark 80 to 100 and −80 to −100 for extreme conditions.
Key inputs and what they change
• Price Source : input series for momentum.
• Calculation Period (rsi_len) : primary averaging window on up and down components. Higher = smoother, slower.
• Sensitivity (rsi_sen) : how many recent bars are scanned to find max impulses. Higher = more responsive to bursts.
• Calculation Type (ma_type) : MA family that shapes the core behavior. HMA or DEMA is faster, SMA or SMMA is slower.
• Smoothing Type and Length : optional second pass to calm noise on the final output.
• UI toggles : show or hide the oscillator, candle painting, and extreme bands.
Reading the oscillator
• Midline cross up (0) : momentum bias turning positive.
• Midline cross down (0) : momentum bias turning negative.
• Positive territory :
– 0 to 40: constructive but not stretched.
– 40 to 80: strong momentum, continuation more likely.
– Above 80: extreme risk of mean reversion grows.
• Negative territory : mirror the same levels for the downside.
Divergence detection
The script plots four divergence types using pivot highs and lows on both price and the oscillator. Lookbacks are set by lbL and lbR .
• Regular bullish : price lower low, oscillator higher low. Possible downside exhaustion.
• Hidden bullish : price higher low, oscillator lower low. Bias to trend continuation up.
• Regular bearish : price higher high, oscillator lower high. Possible upside exhaustion.
• Hidden bearish : price lower high, oscillator higher high. Bias to trend continuation down.
Labels: ℝ for regular, ℍ for hidden. Green for bullish, red for bearish.
Candle coloring
• Optional bar painting: green when the oscillator is above 0, red when below 0. This is for visual scanning only.
Strengths
• Adaptive sensitivity via a rolling impulse window that responds to genuine bursts.
• Configurable MA core so you can match responsiveness to the instrument.
• Zero-centered scale for simple regime reads with 0 as a clear bias line.
• Built-in regular and hidden divergence mapping.
• Flexible across symbols and timeframes once tuned.
Limitations and cautions
• Trends can remain extended. Treat extremes as context rather than automatic reversal signals.
• Divergence quality depends on pivot lookbacks. Short lookbacks give more signals with more noise. Long lookbacks reduce noise but add lag.
• Double smoothing can delay zero-line transitions. Balance smoothness and timeliness.
Practical usage ideas
• Regime filter : only take long setups from your separate method when the oscillator is above 0, shorts when below 0.
• Pullback confirmation : in uptrends, look for dips that hold above 0 or turn up from 0 to 40. Reverse for downtrends.
• Divergence as a heads-up : wait for a zero-line cross or a price trigger before acting on divergence.
• Sensitivity tuning : start with rsi_sen 2 to 5 on faster timeframes, increase slightly on slower charts.
Alerts
• MA-A RSI Long : oscillator crosses above 0.
• MA-A RSI Short : oscillator crosses below 0.
Use these as bias or timing aids, not standalone trade commands.
Settings quick reference
• Calculation : Price Source, Calculation Type, Calculation Period, Sensitivity.
• Smoothing : Smoothing Type, Smoothing Length, Use Extra Smoothing.
• UI : Show Oscillator, Paint Candles, Show Static High and Low Levels.
• Divergences : Pivot Lookback Left and Right, Div Signal Length, Show Detected Divergences.
Final thoughts
This tool reframes RSI by extracting strong short-term impulses and averaging them with a moving-average model of your choice, then presenting a zero-centered output for clear regime reads. Pair it with your structure, risk and execution process, and tune sensitivity and smoothing to the market you trade.
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy
The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins.
This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend.
Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy.
It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model.
✅ Why did I choose OTHERS.D and MEME.D as reference indices?
I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins.
🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap.
This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins.
🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins.
A rising OTHERS.D often signals the start of broader altcoin rallies.
🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity.
It's perfect for timing momentum shifts in high-risk, high-reward tokens.
By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior.
📐 How It Works — Core Logic and Execution Model
At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index.
A trade is only executed when both EMA crossovers agree on the direction. For example:
Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA
Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA
You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy.
Additionally, the strategy includes:
- Adaptive position sizing, based on fixed capital or current equity (compound mode)
- Take Profit and Stop Loss in percentage terms
- Smart partial exits when trend momentum fades
- Date filtering for precise backtesting over specific timeframes
- Real-time performance stats, equity tracking, and visual cues on chart
⚙️ Parameters & Customization
🔁 EMA Settings
Each EMA pair is customizable:
Coin Fast EMA: Default = 47
Coin Slow EMA: Default = 50
Index Fast EMA: Default = 47
Index Slow EMA: Default = 50
These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive.
🧭 Index Reference
The correlation mechanism uses CryptoCap sector dominance indexes:
OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones
MEME.D: Dominance of all Meme coins
These are dynamically calculated using:
OTHERS_D = OTHERS_cap / TOTAL_cap * 100
MEME_D = MEME_cap / TOTAL_cap * 100
You can select:
Reference Index: OTHERS.D or MEME.D
Or disable the index reference completely (Don't Use Index Reference)
💰 Position Sizing & Risk Management
Two capital allocation models are supported:
- Fixed % of initial capital (default)
- Compound profits, which scales positions as equity grows
Settings:
- Compound profits?: true/false
- % of equity: Between 1% and 200% (default = 10%)
This is critical for users who want to balance growth with risk.
🎯 Take Profit / Stop Loss
Customizable thresholds determine automatic exits:
- TakeProfit: Default = 99999 (disabled)
- StopLoss: Default = 5 (%)
These exits are percentage-based and operate off the entry price vs. current close.
📉 Trend Weakening Exit (Scale Out)
If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position:
- Scale Position on Weak Trend?: true/false
- Scaled Percentage: % to close (default = 65%)
This feature is useful for preserving profits without exiting completely.
📆 Date Filter
Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets):
- Filter Date Range of Backtest: ON/OFF
- Start Date and End Date: Custom time range
OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab):
- Initial Capital is set to 100 USD
- Commission is set to 0.055% (The ones I have on Bybit)
- Slippage is set to 3 ticks
- Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation
📊 Visual Feedback and Debug Tools
📈 EMA Trend Visualization
The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend:
Lime: Coin and index both bullish
Teal: Only coin bullish
Maroon: Only index bullish
Red: Both bearish
This allows for immediate visual confirmation of current trend strength.
💬 Real-Time PnL Labels
When a trade closes, a label shows:
Previous trade return in % (first value is the effective PL)
Green background for profit, Red for losses.
📑 Summary Table Overlay
This table appears in a corner of the chart (user-defined) and shows live performance data including:
Trade direction (yellow long, purple short)
Emojis: 💚 for current profit, 😡 for current loss
Total number of trades
Win rate
Max drawdown
Duration in days
Current trade profit/loss (absolute and %)
Cumulative PnL (absolute and %)
APR (Annualized Percentage Return)
Each metric is color-coded:
Green for strong results
Yellow/orange for average
Red/maroon for poor performance
You can select where this appears:
Top Left
Top Right
Bottom Left
Bottom Right (default)
📚 Interpretation of Key Metrics
Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”)
Net Profit: Total gains including open positions
Max Drawdown: Largest peak-to-valley drop in strategy equity
APR: Annualized return calculated based on equity growth and days elapsed
Win Rate: % of profitable trades
PnL %: Percentage profit on the most recent trade
🧠 Advanced Logic & Safety Features
🛑 “Don’t Re-Enter” Filter
If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets.
🧷 Equity Protection
No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical.
Keep in mind that past results in no way guarantee future performance.
Eddie Bitcoin
Dual Stochastic with Trend FilterThe "Dual Stochastic with Trend Filter" is an oscillator indicator designed to provide clearer, trend-aligned trading signals. It uses two distinct stochastic oscillators to identify potential entry points and incorporates an optional EMA-based trend filter to ensure that you are trading in the direction of the broader market momentum.
How It Works and How to Use It
This indicator combines two key technical analysis concepts: momentum (via stochastics) and trend (via moving averages).
Core Components:
Dual Stochastic Oscillators:
Signal Line 1 (Blue): A standard stochastic oscillator.
Signal Line 2 (Red): A second stochastic oscillator, often using a different source (like hlcc4) to provide a smoother, more reliable signal.
A buy signal is generated when the Blue Line (d1) crosses above the Red Line (d2).
A sell signal is generated when the Blue Line (d1) crosses below the Red Line (d2).
Trend Filter (Optional):
This feature uses a fast and a slow Exponential Moving Average (EMA) to determine the overall market trend.
When the fast EMA is above the slow EMA, the background will turn green, indicating an uptrend.
When the fast EMA is below the slow EMA, the background will turn red, indicating a downtrend.
This filter can be toggled on or off in the indicator settings.
How to Use:
With Trend Filter Enabled (Recommended):
Long (Buy) Entry: Look for a green triangle buy signal (▲). This signal only appears when:
The Blue Signal Line crosses above the Red Signal Line.
The market is in a confirmed uptrend (green background).
Short (Sell) Entry: Look for a red triangle sell signal (▼). This signal only appears when:
The Blue Signal Line crosses below the Red Signal Line.
The market is in a confirmed downtrend (red background).
Exit Signal:
A yellow circle (●) appears to suggest closing an open trade. This signal is triggered for a long position if either the stochastics have a bearish cross or the trend flips to a downtrend. Conversely, for a short position, it's triggered by a bullish stochastic cross or a trend flip to an uptrend.
With Trend Filter Disabled:
If you turn off the "Use Trend Filter" option, the indicator will function as a simple dual stochastic crossover system.
A green triangle (▲) will appear every time the Blue Line crosses above the Red Line.
A red triangle (▼) will appear every time the Blue Line crosses below the Red Line.
The background coloring and exit signals based on trend flips will be deactivated. This mode is more sensitive but may produce more false signals in choppy markets.
Key Visuals:
Blue Line: The primary signal line.
Red Line: The secondary, often smoother, signal line.
Green Triangle (▲): Bullish entry signal.
Red Triangle (▼): Bearish entry signal.
Yellow Circle (●): Suggested trade exit/stop.
Green/Red Background: Visual confirmation of the current uptrend or downtrend.
By filtering stochastic signals with the dominant trend, this indicator helps traders avoid common pitfalls like entering short positions during a strong uptrend or buying into a bearish market. This alignment of momentum and trend is key to improving signal quality.
Disclaimer
This indicator is provided for educational and informational purposes only and should not be considered as financial advice or a recommendation to buy or sell any asset. All trading and investment decisions are your own sole responsibility.
Trading financial markets involves a high level of risk, and you may lose more than your initial investment. Past performance is not indicative of future results. The signals generated by this indicator are not guaranteed to be accurate, and you should always use this tool in conjunction with other forms of analysis and sound risk management practices.
Before using this indicator in a live trading environment, it is strongly recommended that you backtest it thoroughly and practice with it on a demo account. The author is not responsible for any financial losses you may incur from using this script.
NY Session Candle (09:30-16:00 ET, Mon-Fri)This indicator plots one synthetic candle per day that represents the official New York trading session (09:30–16:00 ET).
It aggregates the open, high, low, and close across the entire session and draws a single candle on your chart, making it easier to compare session ranges, direction, and volatility.
Features
Aggregates intraday OHLC into one candle per session.
Colors the candle green/red depending on close vs. open.
Excludes weekends (Sat/Sun) automatically.
Adjustable timezone and session window in settings.
Works on any intraday chart.
Use case
Helps traders visually analyze how each New York session behaved without changing chart timeframes. It is a visualization tool only and does not generate trading signals or predictions.
Notes
The script does not repaint and does not use lookahead.
It is for analysis purposes only, not a trading strategy.
Original code; no third-party scripts reused.
