Equal Highs/Lows Multi-Pivot [Julio]Equal Highs/Lows Multi-Pivot
Description
A sophisticated multi-timeframe pivot analysis tool that detects and highlights equal highs and equal lows across four different pivot lengths simultaneously. This indicator identifies price levels where the market creates identical extremes, a powerful signal of institutional support/resistance and potential reversal or breakout zones.
How It Works
Four Independent Pivot Streams
Pivot 1 (Intraday - 2 bars): Ultra-fast level detection for scalpers
Pivot 2 (Session - 4 bars): Short-term swing levels
Pivot 3 (Daily - 6 bars): Medium-term structural levels
Pivot 4 (Weekly - 9 bars): Long-term institutional levels
Equal High (EQH) Detection
Compares consecutive swing highs and draws a line when two highs are nearly identical within a defined threshold. The indicator uses ATR-based confluence to determine "equality," filtering out noise while catching true market structure.
Equal Low (EQL) Detection
Same logic applied to swing lows, identifying support zones where price repeatedly fails to break below previous lows.
Key Features
Four Simultaneous Timeframes: Analyze intraday, session, daily, and weekly structures all on one chart
ATR-Based Confluence Threshold: Automatically adjusts sensitivity based on current volatility (no fake signals)
Color-Coded Levels: Each pivot length has distinct colors for instant visual identification
Highs: Red, Orange, Yellow, Fuchsia
Lows: Green, Blue, Aqua, Purple
Confirmation Mode: Optional setting to wait for full pivot confirmation before marking levels
Customizable Alert Zones: Toggle individual pivot lengths on/off to reduce clutter
Smart Label Positioning: Labels auto-center between the two equal pivots for clarity
Ideal For
Swing traders tracking support/resistance across multiple timeframes
Scalpers identifying micro-structure for quick entries and exits
Market structure analysts studying institutional price action patterns
Multi-timeframe traders needing confluence from intraday to weekly levels
Anyone trading 1-minute to 4-hour charts
Trading Applications
Identify strong support/resistance zones: Equal levels = confirmed institutional levels
Confirm trend reversals: Multiple equal lows = strong accumulation zone; multiple equal highs = distribution
Plan entries with precision: Enter near equal levels for higher probability setups
Detect liquidity concentration: Where price repeatedly tests the same level
Multi-timeframe confluence: Look for equal levels across multiple pivot lengths for ultra-strong zones
How to Use
Identify the equal levels: Color-coded lines instantly show where price creates matching extremes
Check for confluence: Strong setups occur where multiple pivot lengths align
Wait for price action: Watch for breakouts through equal levels or reversals at these zones
Enter with structure: Use equal levels as entry/exit triggers combined with your trading methodology
Manage with confidence: These levels mark institutional decision points
Customization Options
Adjust pivot lengths to match your preferred timeframe structure
Set ATR threshold sensitivity (lower = stricter equality, higher = more signals)
Toggle confirmation mode for additional filter
Enable/disable individual pivot streams to reduce visual clutter
Customize colors to match your chart theme
Default Settings Optimized For
NASDAQ futures and liquid forex pairs
Intraday and swing trading (1-minute to 4-hour charts)
Smart Money / ICT trading methodologies
Volatility-adjusted confluence detection
Recherche dans les scripts pour "zone"
Single AHR DCA (HM) — AHR Pane (customized quantile)Customized note
The log-regression window LR length controls how long a long-term fair value path is estimated from historical data.
The AHR window AHR window length controls over which historical regime you measure whether the coin is “cheap / expensive”.
When you choose a log-regression window of length L (years) and an AHR window of length A (years), you can intuitively read the indicator as:
“Within the last A years of this regime, relative to the long-term trend estimated over the same A years, the current price is cheap / neutral / expensive.”
Guidelines:
In general, set the AHR window equal to or slightly longer than the LR window:
If the AHR window is much longer than LR, you mix different baselines (different LR regimes) into one distribution.
If the AHR window is much shorter than LR, quantiles mostly reflect a very local slice of history.
For BTC / ETH and other BTC-like assets, you can use relatively long horizons (e.g. LR ≈ 3–5 years, AHR window ≈ 3–8 years).
For major altcoins (BNB / SOL / XRP and similar high-beta assets), it is recommended to use equal or slightly shorter horizons, e.g. LR ≈ 2–3 years, AHR window ≈ 2–3 years.
1. Price series & windows
Working timeframe: daily (1D).
Let the daily close of the current symbol on day t be P_t .
Main length parameters:
HM window: L_HM = maLen (default 200 days)
Log-regression window: L_LR = lrLen (default 1095 days ≈ 3 years)
AHR window (regime window): W = windowLen (default 1095 days ≈ 3 years)
2. Harmonic moving average (HM)
On a window of length L_HM, define the harmonic mean:
HM_t = ^(-1)
Here eps = 1e-10 is used to avoid division by zero.
Intuition: HM is more sensitive to low prices – an extremely low price inside the window will drag HM down significantly.
3. Log-regression baseline (LR)
On a window of length L_LR, perform a linear regression on log price:
Over the last L_LR bars, build the series
x_k = log( max(P_k, eps) ), for k = t-L_LR+1 ... t, and fit
x_k ≈ a + b * k.
The fitted value at the current index t is
log_P_hat_t = a + b * t.
Exponentiate to get the log-regression baseline:
LR_t = exp( log_P_hat_t ).
Interpretation: LR_t is the long-term trend / fair value path of the current regime over the past L_LR days.
4. HM-based AHR (valuation ratio)
At each time t, build an HM-based AHR (valuation multiple):
AHR_t = ( P_t / HM_t ) * ( P_t / LR_t )
Interpretation:
P_t / HM_t : deviation of price from the mid-term HM (e.g. 200-day harmonic mean).
P_t / LR_t : deviation of price from the long-term log-regression trend.
Multiplying them means:
if price is above both HM and LR, “expensiveness” is amplified;
if price is below both, “cheapness” is amplified.
Typical reading:
AHR_t < 1 : price is below both mid-term mean and long-term trend → statistically cheaper.
AHR_t > 1 : price is above both mid-term mean and long-term trend → statistically more expensive.
5. Empirical quantile thresholds (Opp / Risk)
On each new day, whenever AHR_t is valid, add it into a rolling array:
A_t_window = { AHR_{t-W+1}, ..., AHR_t } (at most W = windowLen elements)
On this empirical distribution, define two quantiles:
Opportunity quantile: q_opp (default 15%)
Risk quantile: q_risk (default 65%)
Using standard percentile computation (order statistics + linear interpolation), we get:
Opp threshold:
theta_opp = Percentile( A_t_window, q_opp )
Risk threshold:
theta_risk = Percentile( A_t_window, q_risk )
We also compute the percentile rank of the current AHR inside the same history:
q_now = PercentileRank( A_t_window, AHR_t ) ∈
This yields three valuation zones:
Opportunity zone: AHR_t <= theta_opp
(corresponds to roughly the cheapest ~q_opp% of historical states in the last W days.)
Neutral zone: theta_opp < AHR_t < theta_risk
Risk zone: AHR_t >= theta_risk
(corresponds to roughly the most expensive ~(100 - q_risk)% of historical states in the last W days.)
All quantiles are purely empirical and symbol-specific: they are computed only from the current asset’s own history, without reusing BTC thresholds or assuming cross-asset similarity.
6. DCA simulation (lightweight, rolling window)
Given:
a daily budget B (input: budgetPerDay), and
a DCA simulation window H (input: dcaWindowLen, default 900 days ≈ 2.5 years),
The script applies the following rule on each new day t:
If thresholds are unavailable or AHR_t > theta_risk
→ classify as Risk zone → buy = 0
If AHR_t <= theta_opp
→ classify as Opportunity zone → buy = 2B (double size)
Otherwise (Neutral zone)
→ buy = B (normal DCA)
Daily invested cash:
C_t ∈ {0, B, 2B}
Daily bought quantity:
DeltaQ_t = C_t / P_t
The script keeps rolling sums over the last H days:
Cumulative position:
Q_H = sum_{k=t-H+1..t} DeltaQ_k
Cumulative invested cash:
C_H = sum_{k=t-H+1..t} C_k
Current portfolio value:
PortVal_t = Q_H * P_t
Cumulative P&L:
PnL_t = PortVal_t - C_H
Active days:
number of days in the last H with C_k > 0.
These results are only used to visualize how this AHR-quantile-driven DCA rule would have behaved over the recent regime, and do not constitute financial advice.
[ArchLabs] Support & Resitance Levels Support & Resistance Levels — SR-v1.100
Smart, auto-managed zones for clean market structure
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🔍 What this indicator does
This script automatically finds and maintains high-quality support & resistance zones on your chart, so you don’t have to keep redrawing levels by hand.
It:
• Detects major swing highs and lows (pivots)
• Builds support and resistance zones (not just thin lines)
• Filters out overlapping / redundant levels
• Tracks how price interacts with those zones in real time
• Marks and alerts:
• ✅ Breakouts
• 🚨 False breakouts
• 🔁 Retests
• Flips broken support → resistance and resistance → support automatically
You get a clean structural map of the market, continuously updated.
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🧠 How levels are built (conceptually)
1. The indicator looks back over a configurable window and finds significant highs and lows (pivots).
2. From each confirmed pivot, it creates:
• A core level price (horizontal line)
• A price area around it (shaded zone), sized relative to recent price range/volatility
3. It then checks for overlaps between existing levels and new candidates:
• If a new level is too close to an existing one (within your overlap threshold), it gets discarded.
• This keeps only the most meaningful, non-redundant levels on the chart.
4. A cap of around 10 levels per side (support / resistance) keeps the view readable.
The result: a curated set of zones that actually matter, not a wall of lines.
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🎨 Visuals on the chart
You’ll see:
• Support zones
• Line: bullish color (default green)
• Area: semi-transparent band below/around the line
• Resistance zones
• Line: bearish color (default red)
• Area: semi-transparent band above/around the line
Colors are customizable for:
• Level line
• Zone area
• Breakout highlight
• Retest label
This makes it easy to visually separate support vs resistance and quickly spot key reactions.
⸻
⚡ Dynamic behavior & level lifecycle
Each level goes through a natural “life cycle,” which the indicator tracks for you:
1. Active zone
• The level is valid and extended to the right as long as price stays “engaged” with it (using smoothed highs/lows to avoid noise).
2. Extension / pause
• When price pulls away from the level far enough, the extension can temporarily stop so the level doesn’t stretch indefinitely without interaction.
• If price comes back into the zone with meaningful action, the level can resume extension.
3. Break & role reversal
• When price cleanly breaks the level (based on smoothed price, not just a wick), the zone is:
• Stopped and locked in place
• Marked as broken
• Immediately cloned and flipped:
• Broken support becomes a new resistance zone at the same area.
• Broken resistance becomes a new support zone.
This gives you automatic role-reversal levels without manually redrawing anything.
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🧷 Event tags & alerts
The indicator tracks three key interactions with each zone:
1. Breakouts (optional)
When price decisively breaks a level:
• A small breakout label appears on/near the level:
• Support broken → bearish breakout style
• Resistance broken → bullish breakout style
• An alert message is fired (if alerts are enabled on the script)
Use this to catch true structural breaks that may signal trend continuation or regime change.
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2. False breakouts (optional)
False breakouts are marked when price:
• Wicks through a level, but
• Fails to close beyond it and quickly returns inside the zone
When detected:
• A 🚨 FB label appears at the level
• The label tracks with price while the false breakout is active
• An alert can fire each time this behavior is confirmed
This is very useful for reversal traders and anyone fading failed breakouts.
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3. Retests (optional)
Retests are detected when:
• Price re-enters a zone after previously moving away from it
• The candle comes back into the area for the first time in this new approach
The script:
• Marks the retest with a “T” label in a distinct color for support vs resistance
• Brings that level to the top of the internal priority list, keeping fresh retests visually and logically “hot”
Traders often use these as high-probability reaction points (e.g., breakout → retest → continuation).
⸻
⚙️ Key settings
All inputs are grouped for clarity:
Support / Resistance Levels
• Pivots Lookback
Controls how far back the indicator looks for swing highs/lows.
• Higher value → fewer, stronger levels
• Lower value → more reactive, more levels
• Overlap Multiplier (Pips)
Sets how aggressively overlapping levels are merged/ignored.
• Higher value → fewer levels, more consolidation
• Lower value → more granular levels
• Auto Overlap
When enabled, the script automatically adjusts the overlap threshold based on timeframe:
• Intraday lower timeframes → tighter filtering
• Higher/intra-session → more appropriate scaling
This lets you drop the indicator on multiple timeframes without constantly retuning.
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Level Event Toggles
• Breakout Labels & Alerts (on/off)
• False Breakout Labels & Alerts (on/off)
• Retest Labels & Alerts (on/off)
Turn on only what fits your style.
Scalpers might want all three; swing traders may prefer only breakouts + retests.
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Support / Resistance Colors
Separate color groups for:
• Line & area of support levels
• Line & area of resistance levels
• Visual styling for breakouts
• Visual styling for retests
You can match your existing chart theme or build a dedicated SR layout.
⸻
📈 How to use it in your trading
Here are a few practical ways to integrate this indicator:
• Context map
Use it as a structural overlay on any symbol/timeframe to see where price is likely to react.
• Breakout + retest setups
• Wait for a level to break with a breakout label.
• Then watch for a T (retest) label into the flipped zone.
• Combine with your own confirmation (price action, volume, oscillators, etc.).
• Mean-reversion & fade trades
• Hunt for false breakout (FB) labels on key levels.
• These are often good spots to fade aggressive moves that lose momentum.
• Confluence builder
• Combine zones with trend tools, VR/DC, moving averages, or higher timeframe structure.
• A breakout/retest at a level that also lines up with higher TF structure can be especially meaningful.
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✅ Summary
Support & Resistance Levels (SR-v1.100) is designed to be:
• Clean – no cluttered spaghetti of lines
• Adaptive – zones evolve with the market and flip roles automatically
• Actionable – breakout, false breakout, and retest events are clearly marked and alert-ready
• Flexible – works on any market and timeframe with simple, intuitive inputs
Drop it on your chart, tune the lookback & overlap to your style, and let it handle the heavy lifting of structural mapping while you focus on decisions.
Easy [CHE] Easy — Minimalist Pine Script for detecting EMA direction changes to define fixed price zones for simple support and resistance visualization, ideal for manual trading workflows.
Summary
This indicator's programming is kept minimalist and super simple, with core logic in under 20 lines for easy comprehension and modification. It creates fixed price zones based on divergences between a base exponential moving average and its smoother counterpart, helping traders spot potential consolidation or reversal areas without dynamic adjustments. By locking the zone at the high and low of the signal bar, it avoids over-expansion in volatile conditions, offering a stable reference line colored by price position relative to the zone. This approach differs from expanding channels by prioritizing simplicity and persistence until a new qualifying signal, reducing visual clutter while highlighting directional bias through midpoint coloring.
Motivation: Why this design?
Traders often face noisy signals from moving averages that flip frequently in sideways markets or lag during breakouts, leading to premature entries or missed opportunities. This indicator addresses that by focusing on confirmed direction shifts between the base and smoothed averages, then anchoring a non-expanding zone to capture the initial price range of the shift. The result is a cleaner tool for marking equilibrium levels, assuming price respects these bounds in ranging or mildly trending conditions.
What’s different vs. standard approaches?
- Reference baseline: Traditional moving average crossovers or simple channels that update every bar.
- Architecture differences:
- Zones are set only on new divergence signals and remain fixed until reset by a gap from the prior zone.
- No ongoing high-low expansion; relies on persistent variables to hold bounds across bars.
- Midpoint plotting with conditional coloring based on close position, plus a highlight for zone initiations.
- Practical effect: Charts show persistent horizontal references instead of drifting lines, making it easier to gauge if price is rejecting or embracing the zone—useful for avoiding false breaks in low-volatility setups.
How it works (technical)
The indicator first computes a base exponential moving average of closing prices over a user-defined length, then applies a second exponential moving average to smooth that base. It checks if both the base and smoothed values are increasing or decreasing compared to their prior values, indicating aligned direction. A signal triggers when this alignment breaks, marking a potential shift.
On a new signal, if the current bar's high and low fall outside any existing zone (or none exists), the zone bounds update to those extremes and persist via dedicated variables. The midpoint of these bounds becomes the primary plot line, colored green if below the close (bullish lean), red if above (bearish lean), or gray otherwise. A secondary thick line highlights the midpoint briefly when a zone first sets, aiding visual confirmation. No higher timeframe data or external fetches are used, so updates occur on each bar close without lookahead.
Parameter Guide
EMA Length — Sets the period for the base moving average; longer values smooth more, reducing signal frequency but increasing lag. Default: 50. Trade-offs/Tips: Shorter for faster response in intraday charts (risks noise); longer for daily trends (may miss early shifts).
Smoother Length — Defines the period for the secondary smoothing on the base average; higher values dampen minor wiggles for stabler direction checks. Default: 3. Trade-offs/Tips: Keep low (2–5) for sensitivity; increase to 7+ if zones trigger too often in choppy markets, at cost of delayed signals.
Reading & Interpretation
The main circle plot at the zone midpoint serves as a dynamic equilibrium line: green suggests price is above the zone (potential strength), red indicates below (potential weakness), and gray shows containment within bounds (neutral consolidation). A sudden thick foreground line at the midpoint flags a fresh zone start, prompting review of the prior bar's context. Absence of a plot means no active zone, implying reliance on price action alone until the next signal.
Practical Workflows & Combinations
- Trend following: Enter long on green midpoint after a higher low touches the zone lower bound, confirmed by structure like higher highs; filter shorts similarly on red with lower highs.
- Exits/Stops: Use the opposite zone bound as a conservative stop (e.g., below lower for longs); trail aggressively to midpoint on strong moves, tightening near gray neutrality.
- Multi-asset/Multi-TF: Defaults work across forex and stocks on 1H–Daily; for crypto volatility, shorten EMA Length to 20–30. Pair with volume oscillators for confirmation, avoiding isolated use.
Behavior, Constraints & Performance
- Repaint/confirmation: Plots update on bar close using historical closes, so confirmed signals hold; live bars may shift until close but without future references.
- security()/HTF: Not used, eliminating related repaint risks.
- Resources: Minimal overhead—no loops, arrays, or bar limits exceeded; suitable for real-time on any timeframe.
- Known limits: Fixed zones may lag in strong trends (price drifts away without reset); signals skip if no gap from prior zone, potentially missing clustered shifts. Assumes standard OHLC data; untested on non-equity assets.
Sensible Defaults & Quick Tuning
Start with EMA Length at 50 and Smoother Length at 3 for balanced daily charts. If signals fire too frequently (e.g., in ranges), extend EMA Length to 100 for fewer but stabler zones. For sluggish response in trends, drop Smoother Length to 2 and EMA Length to 30, monitoring for added noise. In high-vol setups, widen both to 75/5 to filter extremes, trading speed for reliability.
What this indicator is—and isn’t
This is a lightweight visualization layer for EMA-driven zones, aiding manual chart reading and basic signal spotting. It is not a standalone system, predictive model, or automated alert generator—integrate with broader analysis like market structure and risk rules. (Unknown/Optional: No built-in alerts or multi-timeframe scaling.)
Disclaimer
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.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Order Blocks + Order-Flow ProxiesOrder Blocks + Order-Flow Proxies
This indicator combines structural analysis of order blocks with lightweight order-flow style proxies, providing a tool for chart annotation and contextual study. It is designed to help users visualize where significant structural shifts occur and how simple volume-based signals behave around those areas. The script does not guarantee profitable outcomes, nor does it issue financial advice. It is intended purely for research, learning, and discretionary use.
Conceptual Background
Order Blocks
An “order block” is a term often used to describe a zone on the chart where price left behind a significant reversal or imbalance before continuing strongly in the opposite direction. In practice, this can mean the last bullish or bearish candle before a strong breakout. Traders sometimes study these regions because they believe that unfilled resting orders may exist there, or simply because they mark important pivots in price structure. This indicator detects such moments by scanning for breaks of structure (BOS). When price pushes above or below recent swing levels with sufficient displacement, the script identifies the prior opposite candle as the potential order block.
Break of Structure
A break of structure in this context is defined when the closing price moves beyond the highest high or lowest low of a short lookback window. The script compares the magnitude of this break to an ATR-based displacement filter. This helps ensure that only meaningful moves are marked rather than small, random fluctuations.
Order-Flow Proxies
Traditional order flow analysis may use bid/ask data, footprint charts, or volume profiles. Because TradingView scripts cannot access true order-book data, this indicator instead uses proxy signals derived from standard chart data:
Delta (proxy): Estimated imbalance of buying vs. selling pressure, approximated using bar direction and volume.
Imbalance ratio: Normalizes delta by total volume, ranging between -1 and +1 in theory.
Cumulative Delta (CVD): Running sum of delta over time.
Effort vs. Result (EvR): A comparison between volume and actual bar movement, highlighting cases where large effort produced little result (or vice versa).
These are not real order-flow measurements, but rather simple mathematical constructs that mimic some of its logic.
How the Script Works
Detecting Break of Structure
The user specifies a swing length. When price closes above the recent high (for bullish BOS) or below the recent low (for bearish BOS), a potential shift is recorded.
To qualify, the breakout must exceed a displacement filter proportional to the ATR. This helps filter out weak moves.
Locating the Order Block Candle
Once a BOS is confirmed, the script looks back within a short window to find the last opposite-colored candle.
The high/low or open/close of that candle (depending on user settings) is marked as the potential order block zone.
Drawing and Maintaining Zones
Each order block is represented as a colored rectangle extending forward in time.
Bullish zones are teal by default, bearish zones are red.
Zones extend until invalidated (price closing or wicking beyond them, depending on user preference) or until a user-defined lifespan expires.
A pruning mechanism ensures that only the most recent set number of zones remain, preventing chart overload.
Monitoring Touches
The script checks whether the current bar’s range overlaps any existing order block.
If so, the “closest” zone is considered touched, and a label may appear on the chart.
Confirmation Filters
Touches can optionally be confirmed by order-flow proxies.
For a bullish confirmation, the following must align:
Imbalance ratio above threshold,
Delta EMA positive,
Effort vs. Result positive.
For a bearish confirmation, the opposite holds true.
Optionally, a higher-timeframe EMA slope filter can gate these confirmations. For example, a bullish confirmation may only be accepted if the higher-timeframe EMA is sloping upward.
Alerts
Users may create alerts based on conditions such as “bullish touch confirmed” or “bearish touch confirmed.”
Alerts can be gated to only fire after bar close, reducing intrabar noise.
Standard alertcondition calls are provided, and optional inline alert() calls can be enabled.
Inputs and Customization
Structure & OB
Swing length: Defines how many bars back to check for BOS.
ATR length & displacement factor: Adjust sensitivity for structural breaks.
Body vs. wick reference: Choose whether zones are based on candle bodies or full ranges.
Invalidation rule: Pick between wick breach or close beyond the level.
Lifespan (bars): Limit how long a zone remains active.
Max keep: Cap the number of zones stored to reduce clutter.
Order-Flow Proxies
Delta mode: Choose between “Close vs Previous Close” or “Body” for delta calculation.
EMA length: Smooths the delta/imbalance series.
Z-score lookback: Defines the averaging window for EvR.
Confirmation thresholds: Adjust the imbalance levels required for long/short confirmation.
Higher Timeframe Filter
Enable HTF gate: Optional filter requiring higher-timeframe EMA slope alignment.
HTF timeframe & EMA length: Configurable for context alignment.
Style
Colors and transparency for bullish and bearish zones.
Border color customization.
Alerts
Enable inline alerts: Optional direct calls to alert().
Alerts on bar close only: Helps avoid multiple firings during bar formation.
Practical Use
This tool is best seen as a way to annotate charts and to study how simple volume-derived signals behave near important structural levels. Some users may:
Observe whether order blocks line up with later price reactions.
Study how imbalance or cumulative delta conditions align with these zones.
Use it in a discretionary workflow to highlight areas of interest for deeper analysis.
Because the proxies are based only on candle OHLCV data, they are approximations. They cannot replace true depth-of-market analysis. Similarly, order block detection here is one specific algorithmic interpretation; other traders may define order blocks differently.
Limitations and Disclaimers
This indicator does not predict future price movement.
It does not access real order book or tick-by-tick data. All signals are derived from bar OHLCV.
Past performance of signals or zones does not guarantee future results.
The script is for educational and informational purposes only. It is not financial advice.
Users should test thoroughly, adjust parameters to their own instruments and timeframes, and use it in combination with broader analysis.
Summary
The Order Blocks + Order-Flow Proxies script is an experimental study tool that:
Detects potential order blocks using a displacement-filtered break of structure.
Marks these zones as boxes that persist until invalidation or expiry.
Provides lightweight order-flow-style proxies such as delta, imbalance, CVD, and effort vs. result.
Allows confirmation of zone touches through these proxies and optional higher-timeframe context.
Offers flexible customization, alerting, and chart-style options.
It is not a trading system by itself but rather a framework for studying price/volume behavior around structurally significant areas. With careful exploration, it can give users new ways to visualize market structure and to understand how simple flow-like measures behave in those contexts.
Profitable Loser Model [MMT]Profitable Loser Model
Overview
The Profitable Loser Model is a powerful PineScript v6 indicator designed to enhance your trading by visualizing key price levels, session open zones, Fibonacci retracements, and premium/discount zones. This overlay indicator provides traders with a customizable toolkit to analyze market structure across any timeframe, making it ideal for intraday and swing trading strategies.
Features
Open Zone Visualization
- Plots a box based on the open and close of the first candle in a user-defined timeframe (default: 5-minute).
- Customizable box color, projection offset, and label size (Tiny, Small, Normal, Large).
- Displays a timeframe label (e.g., "5m Open Zone") for quick reference, toggleable on/off.
Session Open Lines
- Optionally draws horizontal lines at key session opens (8:30 AM, 9:30 AM, 1:30 PM, Midnight, New York time).
- Customize line color, style (Solid, Dashed, Dotted), width, and label size for each session.
- Perfect for identifying critical intraday price levels.
Premium and Discount Zones
- Highlights premium (above midpoint) and discount (below midpoint) zones based on session high/low.
- Toggleable with customizable colors and projection offsets.
- Helps traders spot overbought/oversold areas for potential mean-reversion trades.
Fibonacci Retracement Levels
- Plots user-defined Fibonacci levels (default: 0.23, 0.35, 0.5, 0.62, 0.705, 0.79, 0.886, 1, 1.1).
- Customizable line style, width, color, and labels (showing percentage and/or price).
- Dynamically adjusts based on price movement relative to the open zone.
Take Profit (TP) and Stop Loss (SL) Levels
- Highlights TP (default: 0.23) and SL (default: 1.1) Fibonacci levels with distinct colors.
- Fully customizable to align with your risk-reward strategy.
How It Works
- Session Detection : Resets daily (or per user-defined timeframe) to capture the first candle's open, high, low, and close.
- Open Zone : Draws a box between the open and close, extended forward by the projection offset.
- Session Lines : Plots lines at specified session opens with customizable styles and labels.
- Fibonacci Retracement : Adjusts levels dynamically based on session high/low and price action.
- Premium/Discount Zones : Calculated from the session range midpoint, updated in real-time.
Settings
- Open Zone :
- Timeframe (default: 5m), Calculate Timeframe (default: Daily).
- Toggle label, adjust size, box color, and projection offset.
- Session Open Lines :
- Enable/disable lines for 8:30 AM, 9:30 AM, 1:30 PM, Midnight.
- Customize color, style, width, label size, and vertical offset.
- Premium/Discount Zones :
- Toggle visibility, set colors, and adjust projection offset.
- Fibonacci Retracement :
- Toggle visibility, set custom levels, line style, width, color, and label options.
- Adjust projection offset.
- TP/SL :
- Set TP/SL Fibonacci levels and colors.
Use Cases
- Intraday Trading : Use session open lines and open zones to trade key market hours.
- Swing Trading : Leverage Fibonacci levels for potential reversal or continuation zones.
- Risk Management : Set precise TP/SL levels based on Fibonacci retracements.
- Market Structure : Identify overbought/oversold zones with premium/discount areas.
Notes
- Optimized with `dynamic_requests = true` for efficient real-time data handling.
- Visual elements (boxes, lines, labels) are cleaned up at the start of each new session.
- Session lines use New York time (`America/New_York`) for alignment with major markets.
Random Coin Toss Strategy📌 Overview
This strategy is a probability-based trading simulation that randomly decides trade direction using a coin-toss mechanism and executes trades with a customizable risk-reward ratio. It's designed primarily for testing entry frequency and risk dynamics, not predictive accuracy.
🎯 Core Concept
Every N bars (configurable), the strategy performs a pseudo-random coin toss.
Based on the result:
If heads → Buy
If tails → Sell
Once a position is opened, it sets a Stop-Loss (SL) and Take-Profit (TP) based on a multiple of the current ATR (Average True Range) value.
⚙️ Configurable Inputs
ATR Length Period for ATR calculation, determines volatility basis.
SL Multiplier SL distance = ATR × multiplier (e.g., 1.0 means 1x ATR) .
TP Multiplier TP distance = ATR × multiplier (e.g., 2.0 = 2x ATR) .
Entry Frequency Bars to wait between each new coin toss decision.
Show TP/SL Zones Toggle on/off for drawing visual TP and SL zones.
Box Size Number of bars used to define the width of the TP/SL boxes.
🔁 Entry & Exit Logic
Entry:
Happens only when no current position exists and it's the correct bar interval.
Entry direction is randomly decided.
Exit:
Positions exit at either:
Take-Profit (TP) level
Stop-Loss (SL) level
Both are calculated using the configured ATR-based distances.
🖼️ Visual Features
TP and SL zones:
Rendered as shaded rectangles (boxes) only once per trade.
Green box for TP zone, red box for SL zone.
Automatically deleted and redrawn for each new trade to avoid chart clutter.
ATR Display Table:
A minimal info table at the top-right shows the current ATR value.
Updates every few bars for performance.
🧪 Use Cases
Ideal for risk-reward modeling, strategy prototyping, and understanding how volatility-based SL/TP behavior affects results.
Great for backtesting frequency, RR tweaks (e.g., 2:5 or 3:1), and execution structure in random conditions.
⚠️ Disclaimer
Since the trade direction is random, this script is not meant for predictive trading but serves as a powerful experiment framework for studying how SL, TP, and volatility interact with random chance in a controlled, repeatable system.
Deviation Trend Profile [BigBeluga]🔵 OVERVIEW
A statistical trend analysis tool that combines moving average dynamics with standard deviation zones and trend-specific price distribution.
This is an experimental indicator designed for educational and learning purposes only.
🔵 CONCEPTS
Trend Detection via SMA Slope: Detects trend shifts when the slope of the SMA exceeds a ±0.1 threshold.
Standard Deviation Zones: Calculates ±1, ±2, and ±3 levels from the SMA using ATR, forming dynamic envelopes around the mean.
Trend Distribution Profile: Builds a histogram that shows how often price closed within each deviation zone during the active trend phase.
🔵 FEATURES
Trend Signals: Immediate shift markers using colored circles at trend reversals.
SMA Gradient Coloring: The SMA line dynamically changes color based on its directional slope.
Trend Duration Label: A label above the histogram shows how many bars the current trend has lasted.
Trend Distribution Histogram: Visual bin-based profile showing frequency of price closes within deviation bands during trend lookback period.
Adjustable Bin Count: Set the granularity of the distribution using the “Bins Amount” input.
Deviation Labels and Zones: Clearly marked ±1, ±2, ±3 lines with consistent color scheme.
Trend Strength Insight:
• Wide profile skewed to ±2/3 = strong directional trend.
• Profile clustered near SMA = potential trend exhaustion or range.
🔵 HOW TO USE
Use trend shift dots as entry signals:
• 🔵 = Bullish start
• 🔴 = Bearish start
Trade with the trend when price clusters in outer zones (±2 or ±3).
Be cautious or fade the trend when price distribution contracts toward the SMA.
View across multiple timeframes for trend confluence or divergence.
🔵 CONCLUSION
Deviation Trend Profile visualizes how price distributes during trends relative to statistical deviation zones.
It’s a powerful confluence tool for identifying strength, exhaustion, and the rhythm of price behavior—ideal for swing traders and volatility analysts alike.
Hybrid Swing/Day Alert System - PLATINUM EditionThis indicator is a complete trading assistant designed for crypto swing and day traders, built to identify high-probability long and short setups based on a multi-confirmation system.
Strategy Logic
The system scans and confirms entries only when 6 major confluences align:
1. EMA Trend: Price is above or below the EMA 9, 21, and 200 (bullish or bearish trend).
2. RSI Zone: RSI(14) is between 40-60 (ideal reversal zone).
3. Volume Confirmation: Volume is declining on pullback and then spikes.
4. Accumulation/Distribution: A/D line rising (for longs) or falling (for shorts).
5. Fibonacci Pullback Zone: Automatic detection of swing high/low and checks if price is inside the golden zone (0.5-0.618).
Built-In Alerts
- Long Setup Confirmed - Short Setup Confirmed - Setup Forming: Monitor
Conclusion
This script is ideal for disciplined traders who value confluence-based entries, risk/reward logic, and trend-aligned trades. Perfect for semi-automated trading via alerts or manual execution.6. Candle Pattern: Bullish (hammer, doji, engulfing) or Bearish (rejection wick, engulfing, doji).
Visual Features
- Long Entry: Green square
- Short Entry: Red triangle
- Pre-Signal Alert: Blue circle (confluence forming)
- Dynamic Table: Displays all 6 confirmations in real time
- Fibonacci Zones: Auto-plotted long/short retracement zones
- Customizable: Turn on/off alerts, overlays, and direction filters
Best Use Cases
- 4H/Daily: Trend confirmation
- 1H: Entry execution
- 15min: Scalping (use cautiously)
- Works great with BTC, ETH, SOL, XAU, and meme coins
Institutional Support/Resistance Locator🏛️ Institutional Support/Resistance Locator
Overview
The Institutional Support/Resistance Locator identifies high-probability demand and supply zones based on strong price rejection, large candle bodies, and elevated volume . These zones are commonly targeted or defended by institutional participants, helping traders anticipate potential reversal or continuation areas.
⸻
How It Works
The indicator uses a confluence of conditions to detect zones:
• Large Body Candles: Body size must exceed the moving average body size multiplied by a user-defined factor.
• High Volume: Volume must exceed the moving average volume by a configurable multiplier.
• Wick Rejection: Candles must show strong upper or lower wicks indicating aggressive rejection.
• If all criteria are met:
• Bullish candles form a Demand Zone.
• Bearish candles form a Supply Zone.
Each zone is plotted for a customizable number of future bars, representing areas where institutions may re-engage with the market.
⸻
Key Features
• ✅ Highlights institutional demand and supply areas dynamically
• ✅ Customizable sensitivity: body, volume, wick, padding, and zone extension
• ✅ Zones plotted as translucent regions with auto-expiry
• ✅ Works across all timeframes and markets
⸻
How to Use
• Trend Traders: Use demand zones for potential bounce entries in uptrends, and supply zones for pullback short entries in downtrends.
• Range Traders: Use zones as potential reversal points inside sideways market structures.
• Scalpers & Intraday Traders: Combine with volume or price action near zones for refined entries.
Always validate zone reactions with supporting indicators or price behavior.
⸻
Why This Combination?
The combination of wick rejection, volume confirmation, and large candle structure is designed to reflect footprints of smart money. Rather than relying on fixed pivots or subjective zones, this logic adapts to the current market context with statistically grounded conditions.
⸻
Why It’s Worth Using
This tool offers traders a structured way to interpret institutional activity on charts without relying on guesswork. By plotting potential high-impact areas, it helps improve reaction time.
⸻
Note :
• This script is open-source and non-commercial.
• No performance guarantees or unrealistic claims are made.
• It is intended for educational and analytical purposes only.
Dynamic Breakout Master by tradingbauhaus 🌟 Code Description:
This Pine Script implements a trading strategy called "Dynamic Breakout Master" 💥. The core idea of the strategy is to identify breakouts (price movements) at key support 💙 and resistance 🔴 levels, through a dynamic channel that adapts to the market’s conditions. Here's how it works:
🔧 Customizable Input Parameters:
🧭 Pivot Period: This defines the number of bars (candles) to the left and right used to detect pivots (highs and lows) that mark the support and resistance zones.
📊 Data Source: You can choose whether to use highs and lows or closes and opens of the candles to identify the pivots.
📏 Max Channel Width: Specifies the maximum width allowed for the support/resistance channel, expressed as a percentage over the last 300 bars.
💪 Minimum Pivot Strength: This defines the minimum number of pivots needed for a support or resistance level to be considered valid.
🏔 Max Support/Resistance Zones: Limits the number of key zones displayed on the chart.
📅 Lookback Period: Adjusts how many bars back the system should check to find and validate support and resistance levels.
🎨 Custom Colors: You can choose colors for the support, resistance, and in-channel zones.
📉 Moving Averages (MA): The strategy allows adding up to two moving averages (SMA or EMA) to assist in making trading decisions.
📊 Calculating Support/Resistance Levels:
The system uses an algorithm to identify pivots from prices and calculates dynamic support and resistance zones 🔒🔓.
The closer the pivots are and the stronger their influence, the more relevant the zone becomes for the strategy.
The dynamic channel is drawn on the chart, with a maximum width limit for these zones defined by the input parameter.
📈 Trading Logic:
🚀 Identifying Breakouts:
The strategy looks for when the price breaks (breakouts) a resistance or support level.
If the price breaks upward through the resistance level, a buy order 📈 is triggered.
If the price breaks downward through the support level, a sell order 📉 is triggered.
🔔 Alerts:
Resistance Break (ResBreak) and Support Break (SupBreak) alerts are configured to notify users when a significant breakout occurs.
💰 Commissions:
The strategy includes a commission (0.1%) to simulate transaction costs for each trade.
📊 Chart Visualization:
The support and resistance zones are displayed as colored rectangles:
🔴 Resistance (red) and
🔵 Support (blue).
Pivots of support and resistance can be labeled as P (for resistance) and V (for support).
Breakouts of support or resistance levels are marked with triangles that appear on the chart 🔺🔻.
📈 Trading Strategy:
If the price breaks upward through the resistance level, a long position (buy) 📈 is opened.
If the price breaks downward through the support level, a short position (sell) 📉 is opened.
🏆 Conclusion:
This script is a dynamic breakout strategy 💥 that allows traders to capture significant price movements when support or resistance channels break. The customizable parameters let users fine-tune the strategy according to their preferences, while the visual alerts on the chart make it easier to follow trading opportunities. The inclusion of moving averages and key price zones adds an extra layer of analysis to improve decision-making 💡.
Heatmap Suite [PhenLabs]📊 Heatmap Suite
Version: PineScript™ v6
📌 Description
The Heatmap Suite is an advanced technical analysis tool that combines multiple density calculation methods with dynamic visualization to identify significant price levels and trading activity zones. It features a sophisticated analysis system that processes price and volume data through various kernel methods, providing traders with insights into market structure, support/resistance zones, and potential price reaction areas.
🚀 Points of Innovation:
Multi-method density calculation incorporating three distinct approaches
Adaptive visualization system with dynamic color gradients
Real-time dashboard with key market metrics
Significant level detection with automatic threshold adjustment
🚨 Important🚨
🔸Comprehensive tooltips included in the PhenLabs dashboard for in depth guidance
🔧 Core Components
Density Analysis: Multiple calculation methods for price distribution assessment
Heat Mapping: Dynamic visualization of price congestion zones
Level Detection: Automatic identification of significant price levels
Dashboard System: Real-time market metrics and analysis
🔥 Key Features
The indicator provides comprehensive analysis through:
Kernel Density: Traditional balanced view of price distribution
Exponential Kernel: Time-weighted analysis emphasizing recent price action
Volume-Weighted: Focus on high-volume price areas
Significant Levels: Automatic detection of important price zones
Heat Distribution: Color-coded visualization of price congestion
🎨 Visualization
Heat Zones: Shows intensity of price activity
Significant Lines: Key level indicators
Color Gradients: Indicates density strength
Dashboard Display: Real-time metrics
Dynamic Opacity: Reflects density intensity
📖 Usage Guidelines
The indicator offers several customization options:
Basic Settings:
Calculation Method: Choose between three density calculation approaches
Lookback Period: Analysis timeframe adjustment
Zone Count: Price range division granularity
Heat Sensitivity: Contrast adjustment for visualization
🎛️ Visual Settings:
Dashboard Size: Text size customization
Position: Dashboard placement options
Color Scheme: Heat map gradient visualization
Level Display: Significant price zone indicators
✅ Best Use Cases:
Identify strong support/resistance zones through high-density areas
Spot potential price reversal zones at significant levels
Analyze price congestion patterns
Monitor real-time changes in market structure
⚠️ Limitations
Requires sufficient historical data
Computational intensity increases with longer lookback periods
Heat sensitivity needs adjustment based on market conditions
Dashboard placement may need adjustment based on price action
💡 What Makes This Unique
Multi-method Analysis: Three distinct calculation approaches
Adaptive Visualization: Dynamic color gradient system
Real-time Metrics: Comprehensive dashboard display
Automatic Level Detection: Significant price zone identification
Memory-efficient Design: Optimized calculation methods
🔬 How It Works
The indicator processes market data through four main components:
1. Density Calculation:
Processes price and volume data
Applies selected kernel method
Generates density distribution
2. Heat Mapping:
Converts density values to color gradients
Updates visualization in real-time
Displays price congestion zones
3. Level Detection:
Identifies significant price levels
Applies threshold filtering
Marks important zones
4. Dashboard Updates:
Calculates real-time metrics
Updates display components
Provides market context
💡Note:
The indicator performs best with adequate historical data and proper sensitivity settings. Its sophisticated density analysis provides valuable insights into market structure beyond traditional support/resistance indicators.
MEMEQUANTMEMEQUANT
This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets.
Key Features:
1. Category-Based Indices:
• Tracks the performance of token categories like:
• AI Agent Tokens
• AI Tokens
• Animal Tokens
• Murad Picks
• Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories.
• Visualizes category indices in a line chart to identify trends and compare money flow between categories.
2. Fibonacci Correction Zones:
• Highlights key retracement levels (e.g., 60%, 70%, 80%).
• These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns.
• Fully customizable to match individual trading strategies.
3. Trend Lines:
• Automatically detects major support and resistance levels.
• Separates long-term and short-term trend lines, allowing traders to focus on significant price movements.
4. Enhanced Info Table:
• Provides real-time insights, including:
• % Distance from All-Time High (ATH)
• Current Trading Volume
• 50-bar Average Volume
• Volume Change Percentage
• Displays information in an easy-to-read table on the chart.
5. Customizable Settings:
• Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table.
• Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences.
How It Works:
1. Tracking Money Flow Across Categories:
• The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend.
• A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation.
2. Identifying Retracement Patterns:
• Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones.
• Combines this with trend line analysis for additional confirmation.
3. Leader Tokens as Indicators:
• Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category.
When to Use:
• Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market.
• Reversal Zones: To spot potential support or resistance levels using Fibonacci zones.
• Money Flow: To understand how capital is moving across different token categories in real time.
Who Is This For?
This script is tailored for:
• Traders specializing in meme coins and DEX tokens.
• Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels.
• Anyone aiming to track money flow dynamics between different token categories.
Future Updates:
This is the initial version of the script. Future updates may include:
• Support for additional token categories and DEX data.
• More advanced pattern recognition and alerts for volume and price anomalies.
• Enhanced visualization for historical data trends.
With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens.
This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
Support and Resistance Non-Repainting [AlgoAlpha]Elevate your technical analysis with the Non-Repainting Support and Resistance indicator from AlgoAlpha. Designed for traders who value precision, this tool highlights key support and resistance zones without repainting, ensuring reliable signals for better market decisions.
Key Features
🔍 Concise Zones: Identifies critical levels in real-time without repainting.
🖍 Customizable Appearance: Choose your preferred colors for bullish and bearish zones.
📏 Pivot Sensitivity Settings: Adjust the lookback period to fit different market conditions.
🔔 Visual Alerts: Highlights zones on your chart with clear, dynamic boxes and lines.
How to Use
Add the Indicator : Add it to your favorites chart by clicking the star icon. Adjust the lookback period, max zone duration, and colors to match your strategy.
Analyze the Chart : Look for zones where prices frequently react, indicating strong support or resistance.
Set Alerts : Enable notifications for new zone formations and zone invalidations, ensuring you never miss critical market moves.
How It Works
The indicator detects pivot highs and lows using a specified lookback period. When a pivot is confirmed, it draws corresponding support or resistance zones using TradingView’s built-in drawing tools. These zones extend until price breaks through them or they expire based on a maximum allowed duration. The indicator continuously checks if price interacts with any active zones and adjusts accordingly, ensuring accurate and real-time visualization.
Holt-Winters Forecast BandsDescription:
The Holt-Winters Adaptive Bands indicator combines seasonal trend forecasting with adaptive volatility bands. It uses the Holt-Winters triple exponential smoothing model to project future price trends, while Nadaraya-Watson smoothed bands highlight dynamic support and resistance zones.
This indicator is ideal for traders seeking to predict future price movements and visualize potential market turning points. By focusing on broader seasonal and trend data, it provides insight into both short- and long-term market directions. It’s particularly effective for swing trading and medium-to-long-term trend analysis on timeframes like daily and 4-hour charts, although it can be adjusted for other timeframes.
Key Features:
Holt-Winters Forecast Line: The core of this indicator is the Holt-Winters model, which uses three components — level, trend, and seasonality — to project future prices. This model is widely used for time-series forecasting, and in this script, it provides a dynamic forecast line that predicts where price might move based on historical patterns.
Adaptive Volatility Bands: The shaded areas around the forecast line are based on Nadaraya-Watson smoothing of historical price data. These bands provide a visual representation of potential support and resistance levels, adapting to recent volatility in the market. The bands' fill colors (red for upper and green for lower) allow traders to identify potential reversal zones without cluttering the chart.
Dynamic Confidence Levels: The indicator adapts its forecast based on market volatility, using inputs such as average true range (ATR) and price deviations. This means that in high-volatility conditions, the bands may widen to account for increased price movements, helping traders gauge the current market environment.
How to Use:
Forecasting: Use the forecast line to gain insight into potential future price direction. This line provides a directional bias, helping traders anticipate whether the price may continue along a trend or reverse.
Support and Resistance Zones: The shaded bands act as dynamic support and resistance zones. When price enters the upper (red) band, it may be in an overbought area, while the lower (green) band may indicate oversold conditions. These bands adjust with volatility, so they reflect the current market conditions rather than fixed levels.
Timeframe Recommendations:
This indicator performs best on daily and 4-hour charts due to its reliance on trend and seasonality. It can be used on lower timeframes, but accuracy may vary due to increased price noise.
For traders looking to capture swing trades, the daily and 4-hour timeframes provide a balance of trend stability and signal reliability.
Adjustable Settings:
Alpha, Beta, and Gamma: These settings control the level, trend, and seasonality components of the forecast. Alpha is generally the most sensitive setting for adjusting responsiveness to recent price movements, while Beta and Gamma help fine-tune the trend and seasonal adjustments.
Band Smoothing and Deviation: These settings control the lookback period and width of the volatility bands, allowing users to customize how closely the bands follow price action.
Parameters:
Prediction Length: Sets the length of the forecast, determining how far into the future the prediction line extends.
Season Length: Defines the seasonality cycle. A setting of 14 is typical for bi-weekly cycles, but this can be adjusted based on observed market cycles.
Alpha, Beta, Gamma: These parameters adjust the Holt-Winters model's sensitivity to recent prices, trends, and seasonal patterns.
Band Smoothing: Determines the smoothing applied to the bands, making them either more reactive or smoother.
Ideal Use Cases:
Swing Trading and Trend Following: The Holt-Winters model is particularly suited for capturing larger market trends. Use the forecast line to determine trend direction and the bands to gauge support/resistance levels for potential entries or exits.
Identifying Reversal Zones: The adaptive bands act as dynamic overbought and oversold zones, giving traders potential reversal areas when price reaches these levels.
Important Notes:
No Buy/Sell Signals: This indicator does not produce direct buy or sell signals. It’s intended for visual trend analysis and support/resistance identification, leaving trade decisions to the user.
Not for High-Frequency Trading: Due to the nature of the Holt-Winters model, this indicator is optimized for higher timeframes like the daily and 4-hour charts. It may not be suitable for high-frequency or scalping strategies on very short timeframes.
Adjust for Volatility: If using the indicator on lower timeframes or more volatile assets, consider adjusting the band smoothing and prediction length settings for better responsiveness.
Supports & Resistances [UAlgo]The "Supports & Resistances " indicator is designed to identify and visualize key support and resistance levels on the price chart. It utilizes the Average True Range (ATR) and Pivot Points to define the boundaries of S & R zones and considers historical price action to assess the strength of these zones.
🔶 How to Obtain Zones
The script continuously analyzes the price action and identifies potential support and resistance zones based on the following criteria:
Zone Creation: For swing highs, a zone is created with the high price at the zone length as the top and the top minus the Average True Range (ATR) as the bottom. Conversely, for swing lows, the zone is created with the low price at the zone length as the bottom and the low plus the ATR as the top.
Zone Strength Calculation: The script iterates through historical bars within the zone and counts how many times the price (low for support, high for resistance) touched but failed to break entirely through the zone. This count is assigned as the zone's "strength".
Zone Display and Removal: It identifying zones by assigning a "strength" value based on how many times the price has approached but failed to break the zone. This helps prioritize stronger potential support/resistance levels. Only zones exceeding the defined "strength threshold" are visually displayed on the chart. Weaker zones or those broken by price are automatically removed.
🔶 Parameters
Zone Length: Traders can adjust S & R detection sensitivity, length to be used to find pivot points.
Strength Threshold: Set the minimum number of times the price needs to touch but fail to break a zone for it to be considered "strong" and displayed.
Visual Settings: Tailor the appearance of the support/resistance zones by defining separate colors and text size for borders, backgrounds, and zone text.
🔶 Disclaimer
The "Supports & Resistances " indicator is provided for educational and informational purposes only.
It should not be considered as financial advice or a recommendation to buy or sell any financial instrument.
The use of this indicator involves inherent risks, and users should employ their own judgment and conduct their own research before making any trading decisions. Past performance is not indicative of future results.
🔷 Related Scripts
Support and Resistance with Signals
ATR Based Support and Resistance Zones
Smart Money Concept [TradingFinder] Major OB + FVG + Liquidity🔵 Introduction
"Smart Money" refers to funds under the control of institutional investors, central banks, funds, market makers, and other financial entities. Ordinary people recognize investments made by those who have a deep understanding of market performance and possess information typically inaccessible to regular investors as "Smart Money".
Consequently, when market movements often diverge from expectations, traders identify the footprints of smart money. For example, when a classic pattern forms in the market, traders take short positions. However, the market might move upward instead. They attribute this contradiction to smart money and seek to capitalize on such inconsistencies in their trades.
The "Smart Money Concept" (SMC) is one of the primary styles of technical analysis that falls under the subset of "Price Action". Price action encompasses various subcategories, with one of the most significant being "Supply and Demand", in which SMC is categorized.
The SMC method aims to identify trading opportunities by emphasizing the impact of large traders (Smart Money) on the market, offering specific patterns, techniques, and trading strategies.
🟣 Key Terms of Smart Money Concept (SMC)
• Market Structure (Trend)
• Change of Character (ChoCh)
• Break of Structure (BoS)
• Order Blocks (Supply and Demand)
• Imbalance (IMB)
• Inefficiency (IFC)
• Fair Value Gap (FVG)
• Liquidity
• Premium and Discount
🔵 How Does the "Smart Money Concept Indicator" Work?
🟣 Market Structure
a. Accumulation
b. Market-Up
c. Distribution
d. Market-Down
a) Accumulation Phase : During the accumulation period, typically following a downtrend, smart money enters the market without significantly affecting the pricing trend.
b) Market-Up Phase : In this phase, the price of an asset moves upward from the accumulation range and begins to rise. Usually, the buying by retail investors is the main driver of this trend, and due to positive market sentiment, it continues.
c) Distribution Phase : The distribution phase, unlike the accumulation stage, occurs after an uptrend. In this phase, smart money attempts to exit the market without causing significant price fluctuations.
d) Market-Down Phase : In this stage, the price of an asset moves downward from the distribution phase, initiating a prolonged downtrend. Smart money liquidates all its positions by creating selling pressure, trapping latecomer investors.
The result of these four phases in the market becomes the market trend.
Types of Trends in Financial Markets :
a. Up-Trend
b. Down Trend
c. Range (No Trend)
a) Up-Trend : The market breaks consecutive highs.
b) Down Trend : The market breaks consecutive lows.
c) No Trend or Range : The market oscillates within a range without breaking either highs or lows.
🟣 Change of Character (ChoCh)
The "ChoCh" or "Change of Character" pattern indicates an initial change in order flow in financial markets. This structural change occurs when a major pivot in the opposite direction of the market trend fails. It signals a potential change in the market trend and can serve as a signal for short-term or long-term trend changes in a trading symbol.
🟣 Break of Structure (BoS)
The "BoS" or "Break of Structure" pattern indicates the continuation of the trend in financial markets. This structure forms when, in an uptrend, the price breaks its ceiling or, in a downtrend, the price breaks its floor.
🟣 Order Blocks (Supply and Demand)
Order blocks consist of supply and demand areas where the likelihood of price reversal is higher. There are six order blocks in this indicator, categorized based on their origin and formation reasons.
a. Demand Main Zone, "ChoCh" Origin.
b. Demand Sub Zone, "ChoCh" Origin.
c. Demand All Zone, "BoS" Origin.
d. Supply Main Zone, "ChoCh" Origin.
e. Supply Sub Zone, "ChoCh" Origin.
f. Supply All Zone, "BoS" Origin.
🟣 FVG | Inefficiency | Imbalance
These three terms are almost synonymous. They describe the presence of gaps between consecutive candle shadows. This inefficiency occurs when the market moves rapidly. Primarily, imbalances and these rapid movements stem from the entry of smart money and the imbalance between buyer and seller power. Therefore, identifying these movements is crucial for traders.
These areas are significant because prices often return to fill these gaps or even before they occur to fill price gaps.
🟣 Liquidity
Liquidity zones are areas where there is a likelihood of congestion of stop-loss orders. Liquidity is considered the driving force of the entire market, and market makers may manipulate the market using these zones. However, in many cases, this does not happen because there is insufficient liquidity in some areas.
Types of Liquidity in Financial Markets :
a. Trend Lines
b. Double Tops | Double Bottoms
c. Triple Tops | Triple Bottoms
d. Support Lines | Resistance Lines
All four types of liquidity in this indicator are automatically identified.
🟣 Premium and Discount
Premium and discount zones can assist traders in making better decisions. For instance, they may sell positions in expensive ranges and buy in cheaper ranges. The closer the price is to the major resistance, the more expensive it is, and the closer it is to the major support, the cheaper it is.
🔵 How to Use
🟣 Change of Character (ChoCh) and Break of Structure (BoS)
This indicator detects "ChoCh" and "BoS" in both Minor and Major states. You can turn on the display of these lines by referring to the last part of the settings.
🟣 Order Blocks (Supply and Demand)
Order blocks are Zones where the probability of price reversal is higher. In demand Zones you can buy opportunities and in supply Zones you can check sell opportunities.
The "Refinement" feature allows you to adjust the width of the order block according to your strategy. There are two modes, "Aggressive" and "Defensive," in the "Order Block Refine". The difference between "Aggressive" and "Defensive" lies in the width of the order block.
For risk-averse traders, the "Defensive" mode is suitable as it provides a lower loss limit and a greater reward-to-risk ratio. For risk-taking traders, the "Aggressive" mode is more appropriate. These traders prefer to enter trades at higher prices, and this mode, which has a wider order block width, is more suitable for this group of individuals.
🟣 Fair Value Gap (FVG) | Imbalance (IMB) | Inefficiency (IFC)
In order to identify the "fair value gap" on the chart, it must be analyzed candle by candle. In this process, it is important to pay attention to candles with a large size, and a candle and a candle should be examined before that.
Candles before and after this central candle should have long shadows and their bodies should not overlap with the central candle body. The distance between the shadows of the first and third candles is known as the FVG range.
These areas work in two ways :
• Supply and demand area : In this case, the price reacts to these areas and the trend is reversed.
• Liquidity zone : In this scenario, the price "fills" the zone and then reaches the order block.
Important note : In most cases, the FVG zone of very small width acts as a supply and demand zone, while the zone of significant width acts as a liquidity zone and absorbs price.
When the FVG filter is activated, the FVG regions are filtered based on the specified algorithm.
FVG filter types include the following :
1. Very Aggressive Mode : In addition to the initial condition, an additional condition is considered. For bullish FVG, the maximum price of the last candle must be greater than the maximum price of the middle candle.
Similarly, for a bearish FVG, the minimum price of the last candle must be lower than the minimum price of the middle candle. This mode removes the minimum number of FVGs.
2. Aggressive : In addition to the very aggressive condition, the size of the middle candle is also considered. The size of the center candle should not be small and therefore more FVGs are removed in this case.
3. Defensive : In addition to the conditions of the very aggressive mode, this mode also considers the size of the middle pile, which should be relatively large and make up the majority of the body.
Also, to identify bullish FVGs, the second and third candles must be positive, while for bearish FVGs, the second and third candles must be negative. This mode filters out a significant number of FVGs and keeps only those of good quality.
4. Very Defensive : In addition to the conditions of the defensive mode, in this mode the first and third candles should not be very small-bodied doji candles. This mode filters out most FVGs and only the best quality ones remain.
🟣 Liquidity
These levels are where traders intend to exit their trades. "Market makers" or smart money usually accumulate or distribute their trading positions near these levels, where many retail traders have placed their "stop loss" orders. When liquidity is collected from these losses, the price often reverses.
A "Stop hunt" is a move designed to offset liquidity generated by established stop losses. Banks often use major news events to trigger stop hunts and capture liquidity released into the market. For example, if they intend to execute heavy buy orders, they encourage others to sell through stop-hots.
Consequently, if there is liquidity in the market before reaching the order block area, the validity of that order block is higher. Conversely, if the liquidity is close to the order block, that is, the price reaches the order block before reaching the liquidity limit, the validity of that order block is lower.
🟣 Alert
With the new alert functionality in this indicator, you won't miss any important trading signals. Alerts are activated when the price hits the last order block.
1. It is possible to set alerts for each "symbol" and "time frame". The system will automatically detect both and include them in the warning message.
2. Each alert provides the exact date and time it was triggered. This helps you measure the timeliness of the signal and evaluate its relevance.
3. Alerts include target order block price ranges. The "Proximal" level represents the initial price level strike, while the "Distal" level represents the maximum price gap in the block. These details are included in the warning message.
4. You can customize the alert name through the "Alert Name" entry.
5. Create custom messages for "long" and "short" alerts to be sent with notifications.
🔵 Setting
a. Pivot Period of Order Blocks Detector :
Using this parameter, you can set the zigzag period that is formed based on the pivots.
b. Order Blocks Validity Period (Bar) :
You can set the validity period of each Order Block based on the number of candles that have passed since the origin of the Order Block.
c. Demand Main Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Demand Main Zone, "ChoCh" Origin.
d. Demand Sub Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Demand Sub Zone, "ChoCh" Origin.
e. Demand All Zone, "BoS" Origin :
You can control the display or not display as well as the color of Demand All Zone, "BoS" Origin.
f. Supply Main Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Supply Main Zone, "ChoCh" Origin.
g. Supply Sub Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Supply Sub Zone, "ChoCh" Origin.
h. Supply All Zone, "BoS" Origin :
You can control the display or not display as well as the color of Supply All Zone, "BoS" Origin.
i. Refine Demand Main : You can choose to be refined or not and also the type of refining.
j. Refine Demand Sub : You can choose to be refined or not and also the type of refining.
k. Refine Demand BoS : You can choose to be refined or not and also the type of refining.
l. Refine Supply Main : You can choose to be refined or not and also the type of refining.
m. Refine Supply Sub : You can choose to be refined or not and also the type of refining.
n. Refine Supply BoS : You can choose to be refined or not and also the type of refining.
o. Show Demand FVG : You can choose to show or not show Demand FVG.
p. Show Supply FVG : You can choose to show or not show Supply FVG
q. FVG Filter : You can choose whether FVG is filtered or not. Also specify the type of filter you want to use.
r. Show Statics High Liquidity Line : Show or not show Statics High Liquidity Line.
s. Show Statics Low Liquidity Line : Show or not show Statics Low Liquidity Line.
t. Show Dynamics High Liquidity Line : Show or not show Dynamics High Liquidity Line.
u. Show Dynamics Low Liquidity Line : Show or not show Dynamics Low Liquidity Line.
v. Statics Period Pivot :
Using this parameter, you can set the Swing period that is formed based on Static Liquidity Lines.
w. Dynamics Period Pivot :
Using this parameter, you can set the Swing period that is formed based Dynamics Liquidity Lines.
x. Statics Liquidity Line Sensitivity :
is a number between 0 and 0.4. Increasing this number decreases the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of lines identified. The default value is 0.3.
y. Dynamics Liquidity Line Sensitivity :
is a number between 0.4 and 1.95. Increasing this number increases the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of lines identified. The default value is 1.
z. Alerts Name : You can customize the alert name using this input and set it to your desired name.
aa. Alert Demand Main Mitigation :
If you want to receive the alert about Demand Main 's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
bb. Alert Demand Sub Mitigation :
If you want to receive the alert about Demand Sub's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
cc. Alert Demand BoS Mitigation :
If you want to receive the alert about Demand BoS's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
dd. Alert Supply Main Mitigation :
If you want to receive the alert about Supply Main's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
ee. Alert Supply Sub Mitigation :
If you want to receive the alert about Supply Sub's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
ff. Alert Supply BoS Mitigation :
If you want to receive the alert about Supply BoS's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
gg. Message Frequency :
This parameter, represented as a string, determines the frequency of announcements. Options include: 'All' (triggers the alert every time the function is called), 'Once Per Bar' (triggers the alert only on the first call within the bar), and 'Once Per Bar Close' (activates the alert only during the final script execution of the real-time bar upon closure). The default setting is 'Once per Bar'.
hh. Show Alert time by Time Zone :
The date, hour, and minute displayed in alert messages can be configured to reflect any chosen time zone. For instance, if you prefer London time, you should input 'UTC+1'. By default, this input is configured to the 'UTC' time zone.
ii. Display More Info : The 'Display More Info' option provides details regarding the price range of the order blocks (Zone Price), along with the date, hour, and minute. If you prefer not to include this information in the alert message, you should set it to 'Off'.
You also have access to display or not to display, choose the Style and Color of all the lines below :
a. Major Bullish "BoS" Lines
b. Major Bearish "BoS" Lines
c. Minor Bullish "BoS" Lines
d. Minor Bearish "BoS" Lines
e. Major Bullish "ChoCh" Lines
f. Major Bearish "ChoCh" Lines
g. Minor Bullish "ChoCh" Lines
h. Minor Bearish "ChoCh" Lines
i. Last Major Support Line
j. Last Major Resistance Line
k. Last Minor Support Line
l. Last Minor Resistance Line
ORB Algo | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ORB Algo indicator! ORB stands for "Opening Range Breakout" which is a common trading strategy. The indicator can analyze the market trend in the current session and give "Buy / Sell", "Take Profit" and "Stop Loss" signals. For more information about the analyzing process of the indicator, you can read "How Does It Work ?" section of the description.
Features of the new ORB Algo indicator :
Buy & Sell Signals
Up To 3 Take Profit Signals
Stop-Loss Signals
Alerts for Buy / Sell, Take-Profit and Stop-Loss
Customizable Algoritm
Session Dashboard
Backtesting Dashboard
📌 HOW DOES IT WORK ?
This indicator works best in 1-minute timeframe. The idea is that the trend of the current session can be forecasted by analyzing the market for a while after the session starts. However, each market has it's own dynamics and the algorithm will need fine-tuning to get the best performance possible. So, we've implemented a "Backtesting Dashboard" that shows the past performance of the algorithm in the current ticker with your current settings. Always keep in mind that past performance does not guarantee future results.
Here are the steps of the algorithm explained briefly :
1. The algorithm follows and analyzes the first 30 minutes (can be adjusted) of the session.
2. Then, algorithm checks for breakouts of the opening range's high or low.
3. If a breakout happens in a bullish or a bearish direction, the algorithm will now check for retests of the breakout. Depending on the sensitivity setting, there must be 0 / 1 / 2 / 3 failed retests for the breakout to be considered as reliable.
4. If the breakout is reliable, the algorithm will give an entry signal.
5. After the position entry, algorithm will now wait for Take-Profit or Stop-Loss zones and signal if any of them occur.
If you wonder how does the indicator find Take-Profit & Stop-Loss zones, you can check the "Settings" section of the description.
🚩UNIQUENESS
While there are indicators that show the opening range of the session, they come short with features like indicating breakouts, entries, and Take-Profit & Stop-Loss zones. We are also aware of that different stock markets have different dynamics, and tuning the algorithm for different markets is really important for better results, so we decided to make the algorithm fully customizable. Besides all that, our indicator contains a detailed backtesting dashboard, so you can see past performance of the algorithm in the current ticker. While past performance does not yield any guarantee for future results, we believe that a backtesting dashboard is necessary for tuning the algorithm. Another strength of this indicator is that there are multiple options for detection of Take-Profit and Stop-Loss zones, which the trader can select one of their liking.
⚙️SETTINGS
Keep in mind that best chart timeframe for this indicator to work is the 1-minute timeframe.
TP = Take-Profit
SL = Stop-Loss
EMA = Exponential Moving Average
OR = Opening Range
ATR = Average True Range
1. Algorithm
ORB Timeframe -> This setting determines the timeframe that the algorithm will analyze the market after a new session begins before giving any signals. It's important to experiment with this setting and find the best option that suits the current ticker for the best performance. More volatile stocks will often require this setting to be larger, while more stabilized stocks may have this setting shorter.
Sensitivity -> This setting determines how much failed retests are needed to take a position entry. Higher senstivity means that less retests are needed to consider the breakout as reliable. If you think that the current ticker makes strong movements in a bullish & bearish direction after a breakout, you should set this setting higher. If you think the opposite, meaning that the ticker does not decide the trend right after a breakout, this setting show be lower.
(High = 0 Retests, Medium = 1 Retest, Low = 2 Retests, Lowest = 3 Retests)
Breakout Condition -> The condition for the algorithm to detect breakouts.
Close = Bar needs to close higher than the OR High Line in a bullish breakout, or lower than the OR Low Line in a bearish breakout. EMA = The EMA of the bar must be higher / lower than OR Lines instead of the close price.
TP Method -> The method for the algorithm to use when determining TP zones.
Dynamic = This TP method essentially tries to find the bar that price starts declining the current trend and going to the other direction, and puts a TP zone there. To achieve this, it uses an EMA line, and when the close price of a bar crosses the EMA line, It's a TP spot.
ATR = In this TP method, instead of a dynamic approach the TP zones are pre-determined using the ATR of the entry bar. This option is generally for traders who just want to know their TP spots beforehand while trading. Selecting this option will also show TP zones at the ORB Dashboard.
"Dynamic" option generally performs better, while the "ATR" method is safer to use.
EMA Length -> This setting determines the length of the EMA line used in "Dynamic TP method" and "EMA Breakout Condition". This is completely up to the trader's choice, though the default option should generally perform well. You might want to experiment with this setting and find the optimal length for the current ticker.
Stop-Loss -> Algorithm will place the Stop-Loss zone using setting.
Safer = The SL zone will be placed closer to the OR High for a bullish entry, and closer to the OR Low for a bearish entry.
Balanced = The SL zone will be placed in the center of OR High & OR Low
Risky = The SL zone will be placed closer to the OR Low for a bullish entry, and closer to the OR High for a bearish entry.
Adaptive SL -> This option only takes effect if the first TP zone is hit.
Enabled = After the 1st TP zone is hit, the SL zone will be moved to the entry price, essentially making the position risk-free.
Disabled = The SL zone will never change.
2. ORB Dashboard
ORB Dashboard shows the information about the current session.
3. ORB Backtesting
ORB Backtesting Dashboard allows you to see past performance of the algorithm in the current ticker with current settings.
Total amount of days that can be backtested depends on your TV subscription.
Backtesting Exit Ratios -> You can select how much of percent your entry will be closed at any TP zone while backtesting. For example, %90, %5, %5 means that %90 of the position will be closed at the first TP zone, %5 of it will be closed at the 2nd TP zone, and %5 of it will be closed at the last TP zone.
DB Change Forecast ProDB Change Forecast Pro
What does the indicator do?
The DB Change Forecast Pro is a unique indicator that uses price change on HLC3 to detect buy and sell periods along with plotting a linear regression price channel with oversold and undersold zones. It also has a linear regression change forecast mode to optionally project market direction.
Change is calculated by taking a two-bar change of HLC3 and dividing that by the price or, optionally, a fixed divisor.
A fast-moving change cloud is then calculated and displayed as the "regular version" plot (shown in light gray). When the cloud bottom is above low, a buy zone is detected. When the cloud top is below the high, a sell zone is detected.
The linear regression price channel is calculated similarly but using a much slower change rate. The linear regression price channel shows reasonable high, low and HLC3 ranges. At the bar's opening, the channel will be more compact and come fairly accurate about 1/4 into the bar timeframe.
The change forecasted price is projected on the right side of the current bar to indicate the current timeframe direction. Please note this forecasting feature is shown in orange when it's early in the timeframe and gray when the timeframe is more likely to produce an accurate direction forecast for the upcoming bar.
You can use these projected dashed lines to see possible market movements for the Current bar and possible market direction for the next bar. Kindly note these projects change; they should be used to understand possible extreme highs/lows for the current bar or market direction.
The indicator includes an optional change forecast projection feature hidden by default. It will project the market forecast channel with an offset of 1. The forecast is defaulted to an offset of 1 to show market direction. However, you can modify to zero the offset to show the current bar forecast and forecast history.
How should this indicator be used?
First, very important,
1. Settings > Set Symbol to Desired
2. Settings > Set High Timeframe to "Chart"
3. Settings > Ensure "Use price as divisor" is checked.
It's recommended to use this indicator in higher timeframes. Buy and sell signals are displayed in real-time. However, waiting until 1/4 to 1/2 into the current bar is recommended before taking action, and change can happen.
The buy/sell signals (zones) provide recommendations on playing a long vs. a short. When in a buy sone, only play longs. When in a sell zone, only play shorts.
Then use the linear regression price channel oversold and undersold zones to optionally open and close positions within the buy/sell zones.
For example, consider opening a long in a buy zone when the linear regression price channel shows undersold. Then consider closing the long when the price moves into the linear regression oversold or higher. Then repeat as long as it's in the buy zone. Then vice versa for sell zones and shorting.
At basic design, buy in the buy zone, sell or short in the sell zone. If you are up for higher trading frequencies, use the linear regression price channel as described in the example above.
Please note, as, with all indicators, you may need to adjust to fit the indicator to your symbol and desired timeframe.
This is only an example of use. Please use this indicator as your own risk and after doing your due diligence.
Does the indicator include any alerts?
Yes,
"DB CFHLC3: Signal BUY" - Is triggered when a buy signal is fired.
"DB CFHLC3: Signal SELL" - Is triggered when a sell signal is fired.
"DB CFHLC3: Zone BUY" - Is triggered when a buy zone is detected.
"DB CFHLC3: Zeon SELL" - Is triggered when a sell zone is detected.
"DB CFHLC3: Oversold SELL" - Is triggered when the price exceeds the oversold level.
"DB CFHLC3: Undersold BUY" - Is triggered when the price goes below the undersold level.
Any other tips?
Once you have configured the indicator for your symbol and chart timeframe. Meaning the plots are displayed over the price. Check out larger timeframes such as W, 2W, 3W, 4W, M, and 4M. It works wonderfully for showing market lows and highs for long-term investing too!
Another, tip is to combine it with your favorite indicator, such as TTM Squeeze or MACD for confirmation purposes. You may be surprised how fast the indicator shows market direction changes on higher timeframes.
You can just as easily use a high timeframe such as D, 2D, or 3D for day trading due to how the linear price channel works.
Why am I not selling this indicator?
I would like to bless the TradingView community, and I enjoy publishing custom indicators.
If you enjoy this indicator, please consider leaving a thumbs up or a comment for others to know about your experience or recommendations.
Enjoy!
Latent Energy Reactor [The_lurker]Latent Energy Reactor | مفاعل الطاقة الكامنة
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🔬 THE PHILOSOPHY
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Markets operate in cycles of compression and expansion. Before every significant price movement, there exists a period where buyers and sellers reach a temporary equilibrium — a consolidation zone where energy accumulates like pressure building in a reactor.
The Latent Energy Reactor was designed to identify these critical zones, measure the energy building within them, and predict the direction of the inevitable breakout.
This indicator transforms the abstract concept of "market energy" into a quantifiable, visual system that traders can use to anticipate high-probability breakout opportunities.
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🎯 THE THREE BOX STATES
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Understanding the three box states is crucial for proper interpretation:
📦 STATE 1: ACTIVE ZONE (GRAY BOX)
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Visual Characteristics:
• Color: Gray/Neutral with 3D depth effect
• Extends to the right edge of the chart (future projection)
• Contains pressure lines (dotted horizontal lines inside)
• Displays gravity center line (dashed line showing volume-weighted center)
• Energy progress bar beneath the box
• Real-time information panel appears on screen
What It Means:
The gray box represents a LIVE consolidation zone currently forming. Price is contained within the boundaries, and energy is actively accumulating. This is the "waiting phase" where the reactor is charging.
What to Watch:
• Energy percentage climbing toward critical levels (80%+)
• Gravity center position (upper half = bullish bias, lower half = bearish bias)
• Top and bottom rejection counts in the information panel
• Phase progression (Forming → Growth → Mature → Exhaustion)
Trading Approach:
Do NOT trade inside the gray box. This is the preparation phase. Monitor the energy levels and predicted direction, but wait for confirmation.
📦 STATE 2: BULLISH BREAKOUT BOX (GREEN BOX)
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Visual Characteristics:
• Color: Green with 3D depth effect
• Box boundaries are now fixed (no longer extending right)
• Displays "BUY" text centered inside the box
• Stop Loss line appears below the box (orange)
• Three Take Profit lines appear above (teal/cyan)
• Entry line at the box's upper boundary (white dashed)
What It Means:
The green box indicates a CONFIRMED bullish breakout. Price has broken above the consolidation zone's upper boundary, releasing the accumulated energy upward.
Automatic Calculations Displayed:
• Entry Price: Upper boundary of the box
• Stop Loss: Lower boundary minus ATR buffer
• TP1: Entry + (Risk × 1.0) — 1:1 reward ratio
• TP2: Entry + (Risk × 1.5) — 1.5:1 reward ratio
• TP3: Entry + (Risk × 2.0) — 2:1 reward ratio
Trading Approach:
Consider long positions with the displayed SL/TP levels as guidelines. The higher the energy level and breakout quality score were before the breakout, the more reliable the signal.
📦 STATE 3: BEARISH BREAKOUT BOX (RED BOX)
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Visual Characteristics:
• Color: Red with 3D depth effect
• Box boundaries are now fixed
• Displays "SELL" text centered inside the box
• Stop Loss line appears above the box (orange)
• Three Take Profit lines appear below (teal/cyan)
• Entry line at the box's lower boundary (white dashed)
What It Means:
The red box indicates a CONFIRMED bearish breakout. Price has broken below the consolidation zone's lower boundary, releasing the accumulated energy downward.
Automatic Calculations Displayed:
• Entry Price: Lower boundary of the box
• Stop Loss: Upper boundary plus ATR buffer
• TP1: Entry - (Risk × 1.0) — 1:1 reward ratio
• TP2: Entry - (Risk × 1.5) — 1.5:1 reward ratio
• TP3: Entry - (Risk × 2.0) — 2:1 reward ratio
Trading Approach:
Consider short positions with the displayed SL/TP levels as guidelines. Stronger setups have higher pre-breakout energy and quality scores.
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⚛️ THE ENERGY CALCULATION SYSTEM
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The energy percentage (0-100%) is calculated using four factors:
Compression Score (up to 40 points)
Measures how tight the range is relative to normal volatility (ATR). Tighter compression = higher energy storage.
Time Score (up to 35 points)
Longer consolidation periods accumulate more energy. Each bar adds to the score up to the maximum.
Maturity Bonus (up to 15 points)
Zones that reach mature phases receive bonus energy points, recognizing that extended consolidations often produce more powerful breakouts.
Tightness Bonus (up to 10 points)
Extra points awarded when the range height is exceptionally small relative to ATR.
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📊 THE GRAVITY CENTER SYSTEM
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How It Works:
The gravity center is the volume-weighted average price within the consolidation zone. It reveals where the majority of trading activity (and thus institutional interest) is concentrated.
Interpretation:
• Gravity center in UPPER half → Institutions accumulating → Bullish bias
• Gravity center in LOWER half → Institutions distributing → Bearish bias
• Gravity center at MIDDLE → Neutral/Uncertain
Visual Display:
A dashed line with a ⚖️ symbol marks the gravity center inside active zones. The line color matches the directional bias.
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🏦 INSTITUTIONAL FOOTPRINT DETECTION
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What It Measures:
The indicator scans for volume anomalies — bars where volume significantly exceeds the average while price remains contained within the zone.
Why It Matters:
Large volume without price movement often indicates institutional players building positions. They cannot accumulate or distribute large quantities without leaving a "footprint" in the volume data.
Score Interpretation:
• Below 30%: Normal retail activity
• 30-50%: Some institutional interest detected
• Above 50%: Significant institutional footprint (marked with 🏦 icon)
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📈 MATURITY PHASES
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⚒ Forming Phase
The zone has just been identified. Energy is low, and the pattern needs more time to develop. Premature breakouts during this phase have higher failure rates.
📈 Growth Phase
The zone is developing nicely. Energy is building, and the consolidation pattern is becoming more defined. Watch for increasing rejection counts at boundaries.
✅ Mature Phase
Optimal trading phase. The zone has accumulated significant energy, institutional footprints are often visible, and breakout quality scores are typically highest.
⚠ Exhaustion Phase
The zone has persisted beyond typical duration. While energy remains high, the pattern may be losing its predictive power.
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🎨 VISUAL ELEMENTS GUIDE
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3D Box Effect
The 3D rendering creates visual depth with a top face and side face, making boxes stand out clearly. Adjustable via "3D Depth" and "3D Height %" settings.
Pressure Lines
Dotted horizontal lines inside active zones visualize internal pressure distribution. Lines closer to the gravity center are more opaque.
Energy Progress Bar
A horizontal bar beneath each zone shows energy level visually. Color progresses: green (low) → yellow (moderate) → orange (high) → red (critical).
Imminent Breakout Warning
When energy reaches critical threshold (default 80%), a warning label "⚠ IMMINENT!" appears above the active zone.
Information Panel
Real-time table displaying: Energy Level, Phase, Prediction, Breakout Quality, Institutional Footprint, Top/Bottom Rejections.
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📊 READING THE SIGNALS
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Energy Levels:
• Below 40%: Low energy — breakout unlikely soon
• 40-60%: Moderate energy — zone developing
• 60-80%: High energy — prepare for potential breakout
• Above 80%: Critical energy — breakout imminent
Breakout Quality Score:
• Below 50%: Weak setup — higher false breakout risk
• 50-70%: Moderate setup — proceed with caution
• Above 70%: Strong setup — high probability trade
Direction Confidence:
• Below 55%: Neutral — wait for clearer signals
• 55-70%: Moderate confidence
• Above 70%: High confidence prediction
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⚙️ RECOMMENDED SETTINGS
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For Scalping (1-15 min):
Min Bars in Range: 10-15 | ATR Period: 10 | Range ATR Multiplier: 2.0
For Day Trading (15min-1H):
Min Bars in Range: 15-20 | ATR Period: 14 | Range ATR Multiplier: 2.5
For Swing Trading (4H-Daily):
Min Bars in Range: 20-30 | ATR Period: 20 | Range ATR Multiplier: 3.0
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🔔 ALERTS
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• New Zone Alert: Triggers when a new consolidation zone is identified
• Imminent Breakout Alert: Triggers when energy reaches critical levels
• Bullish Breakout Alert: Triggers on confirmed bullish breakout
• Bearish Breakout Alert: Triggers on confirmed bearish breakout
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⚠️ DISCLAIMER
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This indicator is designed as a technical analysis tool to identify consolidation patterns and anticipate potential breakout directions. No indicator can predict the future with certainty. The displayed SL/TP levels are suggestions based on mathematical calculations, not guarantees.
This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses.
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مفاعل الطاقة الكامنة | Latent Energy Reactor
🔬 الفلسفة
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تعمل الأسواق في دورات من الضغط والتمدد. قبل كل حركة سعرية كبيرة، توجد فترة يصل فيها المشترون والبائعون إلى توازن مؤقت — منطقة تجميع حيث تتراكم الطاقة مثل الضغط المتراكم في مفاعل.
صُمم مفاعل الطاقة الكامنة لتحديد هذه المناطق الحرجة، وقياس الطاقة المتراكمة داخلها، والتنبؤ باتجاه الاختراق الحتمي.
يحوّل هذا المؤشر المفهوم المجرد لـ "طاقة السوق" إلى نظام قابل للقياس والعرض البصري يمكن للمتداولين استخدامه لتوقع فرص الاختراق عالية الاحتمالية.
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🎯 حالات الصندوق الثلاث
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فهم حالات الصندوق الثلاث ضروري للتفسير الصحيح:
📦 الحالة الأولى: المنطقة النشطة (الصندوق الرمادي)
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الخصائص البصرية:
• اللون: رمادي/محايد مع تأثير عمق ثلاثي الأبعاد
• يمتد إلى الحافة اليمنى للرسم البياني (إسقاط مستقبلي)
• يحتوي على خطوط الضغط (خطوط أفقية منقطة بالداخل)
• يعرض خط مركز الثقل (خط متقطع يُظهر المركز المرجح بالحجم)
• شريط تقدم الطاقة أسفل الصندوق
• تظهر لوحة المعلومات الفورية على الشاشة
ماذا يعني:
الصندوق الرمادي يمثل منطقة تجميع حَيّة تتشكل حالياً. السعر محتوى داخل الحدود، والطاقة تتراكم بنشاط. هذه هي "مرحلة الانتظار" حيث المفاعل يشحن.
ما يجب مراقبته:
• نسبة الطاقة تصعد نحو المستويات الحرجة (80%+)
• موقع مركز الثقل (النصف العلوي = ميل صعودي، النصف السفلي = ميل هبوطي)
• عدد الرفض العلوي والسفلي في لوحة المعلومات
• تقدم المرحلة (تشكّل ← نمو ← نضج ← إرهاق)
نهج التداول:
لا تتداول داخل الصندوق الرمادي. هذه مرحلة الإعداد. راقب مستويات الطاقة والاتجاه المتوقع، لكن انتظر التأكيد.
📦 الحالة الثانية: صندوق الاختراق الصعودي (الصندوق الأخضر)
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الخصائص البصرية:
• اللون: أخضر مع تأثير عمق ثلاثي الأبعاد
• حدود الصندوق ثابتة الآن (لم تعد تمتد لليمين)
• يعرض نص "شراء" أو "BUY" في منتصف الصندوق
• يظهر خط وقف الخسارة أسفل الصندوق (برتقالي)
• تظهر ثلاثة خطوط أهداف فوق الصندوق (فيروزي)
• خط الدخول عند الحد العلوي للصندوق (أبيض متقطع)
ماذا يعني:
الصندوق الأخضر يشير إلى اختراق صعودي مُؤَكَّد. كسر السعر فوق الحد العلوي لمنطقة التجميع، محرراً الطاقة المتراكمة للأعلى.
الحسابات التلقائية المعروضة:
• سعر الدخول: الحد العلوي للصندوق
• وقف الخسارة: الحد السفلي ناقص حاجز ATR
• الهدف 1: الدخول + (المخاطرة × 1.0) — نسبة مكافأة 1:1
• الهدف 2: الدخول + (المخاطرة × 1.5) — نسبة مكافأة 1.5:1
• الهدف 3: الدخول + (المخاطرة × 2.0) — نسبة مكافأة 2:1
نهج التداول:
فكر في صفقات شراء مع مستويات وقف الخسارة والأهداف المعروضة كإرشادات. كلما ارتفع مستوى الطاقة ودرجة جودة الاختراق قبل الكسر، كانت الإشارة أكثر موثوقية.
📦 الحالة الثالثة: صندوق الاختراق الهبوطي (الصندوق الأحمر)
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الخصائص البصرية:
• اللون: أحمر مع تأثير عمق ثلاثي الأبعاد
• حدود الصندوق ثابتة الآن
• يعرض نص "بيع" أو "SELL" في منتصف الصندوق
• يظهر خط وقف الخسارة فوق الصندوق (برتقالي)
• تظهر ثلاثة خطوط أهداف أسفل الصندوق (فيروزي)
• خط الدخول عند الحد السفلي للصندوق (أبيض متقطع)
ماذا يعني:
الصندوق الأحمر يشير إلى اختراق هبوطي مُؤَكَّد. كسر السعر تحت الحد السفلي لمنطقة التجميع، محرراً الطاقة المتراكمة للأسفل.
الحسابات التلقائية المعروضة:
• سعر الدخول: الحد السفلي للصندوق
• وقف الخسارة: الحد العلوي زائد حاجز ATR
• الهدف 1: الدخول - (المخاطرة × 1.0) — نسبة مكافأة 1:1
• الهدف 2: الدخول - (المخاطرة × 1.5) — نسبة مكافأة 1.5:1
• الهدف 3: الدخول - (المخاطرة × 2.0) — نسبة مكافأة 2:1
نهج التداول:
فكر في صفقات بيع مع مستويات وقف الخسارة والأهداف المعروضة كإرشادات. الإعدادات الأقوى لديها طاقة ودرجات جودة أعلى قبل الاختراق.
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⚛️ نظام حساب الطاقة
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تُحسب نسبة الطاقة (0-100%) باستخدام أربعة عوامل:
درجة الضغط (حتى 40 نقطة)
تقيس مدى ضيق النطاق نسبة للتقلب الطبيعي (ATR). ضغط أشد = تخزين طاقة أعلى.
درجة الوقت (حتى 35 نقطة)
فترات التجميع الأطول تراكم طاقة أكثر. كل شمعة تضيف للدرجة حتى الحد الأقصى.
مكافأة النضج (حتى 15 نقطة)
المناطق التي تصل لمراحل النضج تحصل على نقاط طاقة إضافية، اعترافاً بأن التجميعات الممتدة غالباً تنتج اختراقات أقوى.
مكافأة الضيق (حتى 10 نقاط)
نقاط إضافية تُمنح عندما يكون ارتفاع النطاق صغيراً استثنائياً نسبة لـ ATR.
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📊 نظام مركز الثقل
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كيف يعمل:
مركز الثقل هو متوسط السعر المرجح بالحجم داخل منطقة التجميع. يكشف أين يتركز معظم النشاط التداولي (وبالتالي الاهتمام المؤسسي).
التفسير:
• مركز الثقل في النصف العلوي ← المؤسسات تجمّع ← ميل صعودي
• مركز الثقل في النصف السفلي ← المؤسسات توزّع ← ميل هبوطي
• مركز الثقل في المنتصف ← محايد/غير مؤكد
العرض البصري:
خط متقطع مع رمز ⚖️ يحدد مركز الثقل داخل المناطق النشطة. لون الخط يطابق الميل الاتجاهي.
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🏦 كشف البصمة المؤسسية
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ما يقيسه:
يفحص المؤشر الشذوذات الحجمية — شموع حجمها يتجاوز المتوسط بشكل كبير بينما يبقى السعر محتوى داخل المنطقة.
لماذا هذا مهم:
الحجم الكبير بدون حركة سعرية غالباً يشير إلى لاعبين مؤسسيين يبنون مراكز. لا يمكنهم تجميع أو توزيع كميات كبيرة بدون ترك "بصمة" في بيانات الحجم.
تفسير الدرجة:
• أقل من 30%: نشاط تجزئة عادي
• 30-50%: بعض الاهتمام المؤسسي مكتشف
• فوق 50%: بصمة مؤسسية كبيرة (تُحدد بأيقونة 🏦)
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📈 مراحل النضج
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⚒ مرحلة التشكّل
المنطقة تم تحديدها للتو. الطاقة منخفضة، والنمط يحتاج وقتاً أكثر للتطور. الاختراقات المبكرة خلال هذه المرحلة لديها معدلات فشل أعلى.
📈 مرحلة النمو
المنطقة تتطور بشكل جيد. الطاقة تتراكم، ونمط التجميع يصبح أكثر تحديداً. راقب زيادة عدد الرفض عند الحدود.
✅ مرحلة النضج
مرحلة التداول المثلى. المنطقة راكمت طاقة كبيرة، البصمات المؤسسية غالباً مرئية، ودرجات جودة الاختراق عادة في أعلى مستوياتها.
⚠ مرحلة الإرهاق
المنطقة استمرت أطول من المدة النموذجية. بينما تبقى الطاقة مرتفعة، قد يفقد النمط قوته التنبؤية.
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🎨 دليل العناصر البصرية
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تأثير الصندوق ثلاثي الأبعاد
العرض ثلاثي الأبعاد يخلق عمقاً بصرياً مع وجه علوي ووجه جانبي، مما يجعل الصناديق بارزة بوضوح. قابل للتعديل عبر إعدادات "عمق 3D" و"ارتفاع 3D %".
خطوط الضغط
خطوط أفقية منقطة داخل المناطق النشطة تصور توزيع الضغط الداخلي. الخطوط الأقرب لمركز الثقل أكثر وضوحاً.
شريط تقدم الطاقة
شريط أفقي أسفل كل منطقة يُظهر مستوى الطاقة بصرياً. اللون يتدرج: أخضر (منخفض) ← أصفر (متوسط) ← برتقالي (مرتفع) ← أحمر (حرج).
تحذير الاختراق الوشيك
عندما تصل الطاقة للعتبة الحرجة (افتراضياً 80%)، يظهر تحذير "⚠ كسر وشيك!" فوق المنطقة النشطة.
لوحة المعلومات
جدول فوري يعرض: مستوى الطاقة، المرحلة، التوقع، جودة الاختراق، البصمة المؤسسية، الرفض العلوي/السفلي.
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📊 قراءة الإشارات
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مستويات الطاقة:
• أقل من 40%: طاقة منخفضة — الاختراق غير مرجح قريباً
• 40-60%: طاقة متوسطة — المنطقة في طور التطور
• 60-80%: طاقة مرتفعة — استعد لاختراق محتمل
• فوق 80%: طاقة حرجة — الاختراق وشيك
درجة جودة الاختراق:
• أقل من 50%: إعداد ضعيف — خطر اختراق كاذب أعلى
• 50-70%: إعداد متوسط — تقدم بحذر
• فوق 70%: إعداد قوي — صفقة عالية الاحتمالية
ثقة الاتجاه:
• أقل من 55%: محايد — انتظر إشارات أوضح
• 55-70%: ثقة متوسطة
• فوق 70%: توقع عالي الثقة
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⚙️ الإعدادات الموصى بها
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للمضاربة السريعة (1-15 دقيقة):
الحد الأدنى للشموع: 10-15 | فترة ATR: 10 | مضاعف ATR: 2.0
للتداول اليومي (15 دقيقة - ساعة):
الحد الأدنى للشموع: 15-20 | فترة ATR: 14 | مضاعف ATR: 2.5
للتداول المتأرجح (4 ساعات - يومي):
الحد الأدنى للشموع: 20-30 | فترة ATR: 20 | مضاعف ATR: 3.0
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🔔 التنبيهات
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• تنبيه منطقة جديدة: يُفعّل عند تشكّل منطقة تجميع جديدة
• تنبيه اختراق وشيك: يُفعّل عند وصول الطاقة لمستويات حرجة
• تنبيه اختراق صعودي: يُفعّل عند تأكيد كسر صعودي
• تنبيه اختراق هبوطي: يُفعّل عند تأكيد كسر هبوطي
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⚠️ إخلاء المسؤولية
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هذا المؤشر مصمم كأداة تحليل فني لتحديد أنماط التجميع وتوقع اتجاهات الاختراق المحتملة. لا يمكن لأي مؤشر التنبؤ بالمستقبل بيقين. مستويات وقف الخسارة والأهداف المعروضة هي اقتراحات مبنية على حسابات رياضية، وليست ضمانات.
هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Volume Pressure OscillatorThe Volume Pressure Oscillator (VPO) is a momentum-based indicator that measures the directional pressure of cumulative volume delta (CVD) combined with price efficiency. It oscillates between 0 and 100, with readings above 50 indicating net buying pressure and readings below 50 indicating net selling pressure.
The indicator is designed to identify the strength and sustainability of volume-driven trends while remaining responsive during consolidation periods.
How the Indicator Works
The VPO analyzes volume flow by examining price action at lower timeframes to build a Cumulative Volume Delta (CVD). For each chart bar, the indicator looks at intrabar price movements to classify volume as either buying volume or selling volume. These classifications are accumulated into a running total that tracks net directional volume.
The indicator then measures the momentum of this CVD over both short-term and longer-term periods, providing responsiveness to recent changes while maintaining awareness of the broader trend. These momentum readings are normalized using percentile ranking, which creates a stable 0-100 scale that works consistently across different instruments and market conditions.
A key feature is the extreme zone persistence mechanism. When the indicator enters extreme zones (above 80 or below 20), it maintains elevated readings as long as volume pressure continues in the same direction. This allows the VPO to stay in extreme zones during strong trends rather than quickly reverting to neutral, making it useful for identifying sustained volume pressure rather than just temporary spikes.
What Makes This Indicator Different
While many indicators measure volume or volume delta, the VPO specifically measures how aggressively CVD is currently changing and whether that pressure is being sustained. It's the difference between knowing "more volume has accumulated on the buy side" versus "buying pressure is intensifying right now and shows signs of continuation."
1. Focus on CVD Momentum, Not CVD Levels
Most CVD indicators display the cumulative volume delta as a line that trends up or down indefinitely. The VPO is fundamentally different - it measures the slope of CVD rather than the absolute level. This transforms CVD from an unbounded cumulative metric into a bounded 0-100 oscillator that shows the intensity and direction of current volume pressure, not just the historical accumulation.
2. Designed to Stay in Extremes During Trends
Unlike traditional oscillators that treat extreme readings (above 80 or below 20) as overbought/oversold reversal signals, the VPO is engineered to oscillate within extreme zones during strong trends. When sustained buying or selling pressure exists, the indicator remains elevated (e.g., 80-95 or 5-20) rather than quickly reverting to neutral. This makes it useful for trend continuation identification rather than exclusively for reversal trading.
3. Percentile-Based Normalization
The VPO uses percentile ranking over a lookback window, which provides consistent behavior across different instruments, timeframes, and volatility regimes without constant recalibration.
4. Dual-Timeframe Momentum Synthesis
The indicator simultaneously considers short-term CVD momentum (responsive to recent changes) and longer-term CVD momentum (tracking trend direction), weighted and combined with a slow-moving trend bias. This multi-timeframe approach helps it stay responsive in ranging markets while maintaining context during trends.
How to Use the Indicator
Understanding the Zones:
80-100 (Strong Buying Pressure): CVD momentum is strongly positive. In trending markets, the indicator oscillates within this zone rather than immediately reverting to neutral. This suggests sustained accumulation and trend continuation probability.
60-80 (Moderate Buying): Positive volume pressure but not extreme. Suitable for identifying pullback entry opportunities within uptrends.
40-60 (Neutral Zone): Volume pressure is balanced or unclear. No strong directional edge from volume. Often seen during consolidation or trend transitions.
20-40 (Moderate Selling): Negative volume pressure developing. May indicate distribution or downtrend continuation setups.
0-20 (Strong Selling Pressure): CVD momentum is strongly negative. During downtrends, sustained readings in this zone suggest continued distribution and downside follow-through probability.
Practical Applications:
Trend Confirmation: When price makes new highs/lows, check if VPO confirms with similarly elevated readings. Divergences (price making new highs while VPO fails to reach prior highs) may indicate weakening momentum.
Range Trading: During consolidation, the VPO typically oscillates between 30-70. Readings toward the low end of the range (30-40) may present accumulation opportunities, while readings at the high end (60-70) may indicate distribution zones.
Extreme Persistence: If VPO reaches 90+ or drops below 10, this indicates exceptional volume pressure. Rather than fading these extremes immediately, monitor whether the indicator stays elevated. Sustained extreme readings suggest strong trend continuation potential.
Context with Price Action: The VPO is most effective when combined with price action or other orderflow indicators. Use the indicator to gauge whether volume is confirming or contradicting.
What the Indicator Does NOT Do:
It does not provide specific entry or exit signals
It does not predict future price direction
It does not guarantee profitable trades
It should not be used as a standalone trading system
Settings Explanation
Momentum Period (Default: 14)
This parameter controls the lookback period for CVD rate-of-change calculations.
Lower values (5-10): Make the indicator more responsive to recent volume changes. Useful for shorter-term trading and more active oscillation. May produce more whipsaws in choppy markets.
Default value (14): Provides balanced responsiveness while filtering out most noise. Suitable for swing trading and daily timeframe analysis.
Higher values (20-50): Create smoother readings and focus on longer-term volume trends. Better for position trading and reducing false signals, but with slower reaction to genuine changes in volume pressure.
Important Notes:
This indicator requires intrabar data to function properly. On some instruments or timeframes where lower timeframe data is not available, the indicator may not display.
The indicator uses request.security_lower_tf() which has a limit of intrabars. On higher timeframes, this provides extensive history, but on very low timeframes (<1-minute charts), the indicator may only cover limited historical bars.
Volume data quality varies by exchange and instrument. The indicator's effectiveness depends on accurate volume reporting from the data feed.
Supply & demand with qualifieres [By:CienF-OTC]🚀 Supply & Demand (S/D) Zones Indicator - Precision Pattern 🚀
This Advanced Supply and Demand (S/D) Zones Indicator is engineered to identify high-probability zones: Indecisive Base (Consolidation) followed by an Explosive Exit (Expansion), coupled with a strict momentum validation process.
🎯 Key Features and High-Precision Logic 🎯
The indicator filters potential zones through three critical movement stages:
1. Strict Indecisive Base Detection:
Rule: A candle is defined as an Indecisive Base if its body is less than or equal to 50% of its total range (High - Low). This accurately captures Dojis, Spinning Tops, and true equilibrium candles.
Zone Drawing: The zone covers the price range (High/Low) of one or more consecutive base candles.
2. Validation of the Explosive Exit:
The candle immediately following the base must be an Explosive/Decisive Candle, exceeding a minimum body threshold (default 50.0% in the current version) to confirm significant capital entry.
3. Strict Momentum and Freshness Filters
The core of the indicator's precision lies in these filters, which you can activate in the settings:
🚫 Anti-Stall Filter (Strict Follow-up): The candle that follows the explosion CANNOT be Indecisive (i.e., its body cannot be $\leq 50\%$ of its range). If the follow-up candle is weak, the zone is rejected for lack of true commitment. (Note: This filter is set to OFF by default in v6.0 for flexibility but highly recommended for high-probability setups).
Freshness (Mitigation): Zones that have been previously tested/touched by the price (mitigated) are deactivated and colored gray (optional) or automatically deleted, keeping your chart clean and showing only active, fresh zones.
Range Oscillator (Zeiierman)█ Overview
Range Oscillator (Zeiierman) is a dynamic market oscillator designed to visualize how far the price is trading relative to its equilibrium range. Instead of relying on traditional overbought/oversold thresholds, it uses adaptive range detection and heatmap coloring to reveal where price is trading within a volatility-adjusted band.
The oscillator maps market movement as a heat zone, highlighting when the price approaches the upper or lower range boundaries and signaling potential breakout or mean-reversion conditions.
Highlights
Adaptive range detection based on ATR and weighted price movement.
Heatmap-driven coloring that visualizes volatility pressure and directional bias.
Clear transition zones for detecting trend shifts and equilibrium points.
█ How It Works
⚪ Range Detection
The indicator identifies a dynamic price range using two main parameters:
Minimum Range Length: The number of bars required to confirm that a valid range exists.
Range Width Multiplier: Expands or contracts the detected range proportionally to the ATR (Average True Range).
This approach ensures that the oscillator automatically adapts to both trending and ranging markets without manual recalibration.
⚪ Weighted Mean Calculation
Instead of a simple moving average, the script calculates a weighted equilibrium mean based on the size of consecutive candle movements:
Larger price changes are given greater weight, emphasizing recent volatility.
⚪ Oscillator Formula
Once the range and equilibrium mean are defined, the oscillator computes:
Osc = 100 * (Close - Mean) / RangeATR
This normalizes price distance relative to the dynamic range size — producing consistent readings across volatile and quiet periods.
█ Heatmap Logic
The Range Oscillator includes a built-in heatmap engine that color-codes each oscillator value based on recent price interaction intensity:
Strong Bullish Zones: Bright green — price faces little resistance upward.
Weak Bullish Zones: Muted green — uptrend continuation but with minor hesitation.
Transition Zones: Blue — areas of uncertainty or trend shift.
Weak Bearish Zones: Maroon — downtrend pressure but soft momentum.
Strong Bearish Zones: Bright red — strong downside continuation with low resistance.
Each color band adapts dynamically using:
Number of Heat Levels: Controls granularity of the heatmap.
Minimum Touches per Level: Defines how reactive or “sensitive” each color zone is.
█ How to Use
⚪ Trend & Momentum Confirmation
When the oscillator stays above +0 with green coloring, it suggests sustained bullish pressure.
Similarly, readings below –0 with red coloring, it suggests sustained bearish pressure.
⚪ Range Breakouts
When the oscillator line breaks above +100 or below –100, the price is exceeding its normal volatility range, often signaling breakout potential or exhaustion extremes.
⚪ Mean Reversion Trades
Look for the oscillator to cross back toward zero after reaching an extreme. These transitions (often marked by blue tones) can identify early reversals or range resets.
⚪ Divergence
Use oscillator peaks and troughs relative to price action to spot hidden strength or weakness before the next move.
█ Settings
Minimum Range Length: Number of bars needed to confirm a valid range.
Range Width Multiplier: Expands or contracts range width based on ATR.
Number of Heat Levels: Number of gradient bands used in the oscillator.
Minimum Touches per Level: Sensitivity threshold for when a zone becomes “hot.”
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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.
