[GrandAlgo] HTF Swing Sweep & Reversal IndicatorHTF Swing Sweep & Reversal Indicator
This indicator is built to spot liquidity sweeps of Higher Timeframe (HTF) swing levels and highlight potential reversal opportunities on your chosen Lower Timeframe (LTF).
✨ Core Idea
Markets often grab liquidity above highs or below lows before reversing. This script does the work for you by marking HTF swings, watching the LTF for sweeps, and confirming when price reclaims or rejects those levels.
🎯 Key Features
👉 Marks HTF swing highs (red) and HTF swing lows (green) using your chosen HTF Swing Length and timeframe.
👉 Detects a sweep whenever the LTF closes beyond an HTF swing level.
👉 Draws a temporary Breach Line at the sweep bar’s open, adjusting as price develops.
👉 Signals Long when price reclaims after sweeping an HTF low.
👉 Signals Short when price rejects after sweeping an HTF high.
👉 Includes optional filters for stricter confirmations:
• Mid Filter → requires stronger body confirmation.
• Strict Filter → requires close beyond the original HTF level.
👉 Customizable colors, line styles, and visibility options.
👉 Built-in alerts so you never miss a setup.
⚡ How to Use
👉 Select a Higher Timeframe (htf) for structure (e.g., 1H, 4H, Daily).
👉 Let the script plot HTF swing highs and lows.
👉 Watch for sweeps and wait for confirmation signals (labels + alerts).
👉 Combine with other tools (order blocks, FVGs, SMT, volume) for confluence.
✅ Notes
👉 Signals are non-repainting once confirmed.
👉 Both HTF and LTF are fully user-defined — there are no fixed defaults.
👉 Filters let you decide between aggressive entries or conservative confirmation.
⚠️ Disclaimer: This tool is for educational purposes only. Not financial advice. Always backtest and validate with your own strategy before using in live trading.
Buysellsignal
Moon Scalper v3 + VSAMoon Scalper v3 is a high-precision scalping indicator optimized for the 15-minute chart. It delivers clean buy/sell signals with TP1 (1:1 risk-reward) exits using layered confirmations:
• **Volatility Bands** — SMA + multiplier detect expansion zones
• **EMA Filter (200)** — ensures trades align with trend
• **RSI Range Filter** — avoids extreme overbought/oversold traps (buy: 52–62, sell: 38–48)
• **Volume Spike Filter** — filters for institutional activity (vol > 1.4×SMA)
• **VSA Confirmation** — requires wide-spread, high-volume bars with reclaim (volume × 1.4, spread × 1.5, reclaim 50%)
**Usage Notes:**
Best used on 15m timeframe for liquid pairs (e.g., BTCUSDT, ETHUSDT). Signals appear as “BUY” / “SELL” labels on chart. Defaults yield high TP1 hit rate; use only during active sessions (e.g., London/NY) for best accuracy.
**Disclaimer:**
This indicator is for educational purposes only. Past performance is not a guarantee of future results. Always backtest before live trading and manage risk responsibly.
Trendline + Bull/Bear Flag + EMA 9/21 Buy-Sell Signalseasy scalping and buy sell signals on 9-21 ema cross and trendline breakout
Balanced Big Wicks (50/50) HighlighterThis open-source indicator highlights candles with balanced long wicks (50/50 style)—that is, candles where both upper and lower shadows are each at least 30–60% of the full range and within ~8% of each other, while retaining a substantial body. This specific structure often reflects indecision or liquidity sweeps and can precede strong breakout moves.
How It Works (Inputs and Logic)
Min wick % (each side): 30–60% of candle range
Max body %: up to 60% of range (preserves strong body presence)
Equality tolerance: wicks within 8% of each other
ATR filter (multiples of ATR14): ensures only significant-range candles are flagged
When a “50/50” candle forms, it’s visually colored and labeled; audibly alertable.
How to Use It
Long setup: price closes above the wick-high → potential long entry (SL below wick-low, TP = 1:1).
Short setup: price closes below wick-low → potential short entry (SL above wick-high, TP = 1:1).
Especially effective on 5–15 minute scalping charts when aligned with high-volume sessions or HTF trend context.
Why This Indicator Is Unique
Unlike standard wick or doji voters, this script specifically filters for candles with a strong body and symmetrical wicks, paired with a range filter, reducing noise significantly.
Important Notes
No unrealistic claims: backtested setups indicate high occurrence of clean breakouts, though performance depends on market structure.
Script built responsibly: uses real-time calculations only, no future-data lookahead.
Visuals on the published chart reflect default input values exactly.
Signalgo CHoCHSignalgo CHoCH: Informative Technical Overview
Signalgo CHoCH is a multi-factor indicator designed for TradingView to detect “Change of Character” (CHoCH) shifts in market structure, signaling significant trend reversals and managing trades with risk control. This documentation details how it operates, its customizable parameters, signal methodology, what makes it different from traditional tools, and typical strategy applications.
How Signalgo CHoCH Works
1. Market Structure Detection
Swing High & Low Identification: The indicator uses an adaptive swing length to isolate important pivot highs and lows in price action. These pivots signal points where the market reversed direction or paused, forming the “swing structure” core to this strategy.
Body Strength Validation: Not every pivot break is meaningful. Signalgo CHoCH assesses price bar “body strength”—quantifying if the current candle’s body is disproportionately large compared to a recent average—to filter out weak or indecisive moves, retaining only those breaks likely to indicate genuine momentum.
2. Change of Character (CHoCH) Signal Logic
Bullish CHoCH: Triggered when price closes above the last significant swing low (the most recent support) with a strong candle body, indicating a transition from bearish to bullish market structure.
Bearish CHoCH: Triggered when price closes below the last significant swing high (key resistance) with a strong bearish candle, denoting a shift from bullish to bearish structure.
One-Time Event Recognition: Each break is tracked so that signals are issued only once per directional change, reducing repeated or redundant entries.
3. Higher Timeframe Confirmation
Multi-Timeframe Consistency: The indicator requires the CHoCH signal (on the current trading timeframe) to be confirmed by the market structure status of a selected higher timeframe. This adds an extra layer of validation, ensuring the signal aligns with broader trends.
Inputs
SwingLen: The number of bars used to define swing pivots.
bodyStrength & bodyLookback: Control sensitivity for body size validation, filtering which candle breaks are considered strong enough for signaling.
htfTf: Selects the higher timeframe for multi-timeframe checking.
show_tpsl: Toggle to show/hide automated Take Profit (TP) and Stop Loss (SL) levels on the chart.
ATR, TP/SL/RR/Trailing Settings: Determines how risk and reward are managed, using ATR for stop placement and multi-level profit targets with optional trailing stop activation after TP1.
Entry & Exit Strategy
Entry Logic
Long Entry: When a bullish CHoCH is detected, optionally confirmed by the higher timeframe, it marks a buy opportunity at the close of the breakout candle.
Short Entry: When a bearish CHoCH forms, also with optional higher timeframe confirmation, it identifies a sell entry at the close of the confirmation candle.
Exit & Trade Management
Stop Loss (SL): Automatically placed at a set ATR distance from entry, dynamically adapting to volatility.
Take Profits (TP1, TP2, TP3): Multiple reward targets are calculated and marked for systematic scaling out or profit-taking, based on a defined risk multiple.
Trailing Stop: Once the first profit target is hit, SL moves to breakeven, and a trailing stop engages, incrementally securing further gains if the trend continues.
State Tracking: All TP, SL, and trailing events are labeled on the chart for easy post-trade analysis.
Body Strength and Trend Filtering: Breakouts are only considered if the candle’s body confirms significant momentum, not just a fleeting spike, improving signal quality.
Event-Driven, Not Rolling: Each bullish or bearish “character change” is signaled only at the true point of structural shift, with strict per-event marking, not continuous signal generation as with typical MA cross strategies.
Integrated Multi-Timeframe Logic: higher timeframe validation minimizes false positives from short-term volatility noise, a capability not found in most indicator-based tools.
Automated, Dynamic Trade Management: This indicator overlays a complete trade management suite (TPs, SL, trailing) that moves with market conditions, allowing for risk handling directly from each signal.
Trading Strategy Application
Trend Reversal & Continuation: Suitable for identifying both sudden reversals and structural continuations, adaptable for intraday, swing, or positional trading styles.
Noise Filtering: Multiple checks (body strength, momentum, multi-timeframe) focus signals on genuine trend changes, filtering out most “whipsaws” seen in pure MA systems.
Visual Feedback: All transitions, TPs, SLs, and trailing events are visually annotated, enhancing the educational and review process.
Signalgo VSignalgo V: Technical Overview and Unique Aspects
Signalgo V is a technical indicator for TradingView that integrates multiple layers of analysis: moving averages, MACD, Bollinger Bands and RSI to deliver buy and sell signals. Below is an informational breakdown of how the indicator functions, its input parameters, signal logic, exit methodology, and how it stands apart from traditional moving average (MA) tools, without disclosing specifics that allow for code duplication.
How Signalgo V Works
1. Multi-Layered Technical Synthesis
Signalgo V processes several technical studies simultaneously:
Fast/Slow Moving Averages: Uses either EMA or SMA (user-selected) with adjustable periods. These are central to initial trend detection through crossovers.
MACD Filter: MACD line vs. signal line cross-check ensures trend direction is supported by both momentum and MA structure.
RSI Confirmation: The RSI is monitored to verify that signals are not excessively overbought or oversold, tuning the system to changing momentum regimes.
Bollinger Bands Context: Entry signals are only considered when price action is beyond the Bollinger Bands envelope, which further filters for unusually strong movements.
These strict, multi-indicator entry criteria are designed to ensure only the most robust signals are surfaced, each is contingent on the presence of aligned trend, momentum and volatility.
2. Exit Methodology
Take-Profit Levels: After entering a trade, the strategy automatically sets three predefined profit targets (TP1, TP2, TP3). If the price reaches any of these targets, the system marks it, helping you lock in profits at different stages.
Stop-Loss System: Simultaneously, a stop-loss (SL) value is set, protecting you from significant losses if the market moves against your position.
Dynamic Adjustment: When the first profit target (TP1) is hit, the system can automatically move the stop-loss to your entry price. This means your worst-case outcome is break-even from that point, reducing downside risk.
Trailing Stop-Loss: After TP1 is reached, a dynamic trailing stop can activate. This allows the stop-loss to follow the price as it moves in your favor, aiming to capture more profit if the trend continues, while still protecting your gains if the price reverses.
Visual Markers: The system plots all important exit levels (profit targets, stop-loss, trailing stop) directly on the chart. Optional labels also appear whenever a target or stop-loss is hit, making it easy to see progress.
Visual cues (labels) are plotted directly on the bar where a buy or sell signal triggers, clarifying entry points and aiding manual exit/risk management decisions.
Input Parameters
rsiLen: Lookback period for RSI calculation.
rsiOB and rsiOS: Overbought/oversold thresholds, adaptive to the indicator’s multi-layered logic.
maFastLen and maSlowLen: Periods for fast and slow MAs.
maType: EMA or SMA selectable for both MAs.
bbLen: Length for Bollinger Bands mean calculation.
bbMult: Standard deviation multiplier for BB width.
macdFast, macdSlow, macdSig: Standard MACD parameterization for nuanced momentum oversight.
What Separates Signalgo V from Traditional Moving Average Indicators
Composite Signal Architecture: Where traditional MA systems generate signals solely on MA crossovers, Signalgo V requires layered, cross-confirmational logic across trend (MAs), momentum (MACD), volatility (Bollinger Bands), and market strength (RSI).
Adaptive Volatility Context: MA signals only “count” when price is meaningfully breaking out of its volatility envelope, filtering out most unremarkable crosses that plague basic MA strategies.
Integrated Multi-Factor Filters: Strict compliance with all layers of signal logic is enforced. A marked improvement over MA strategies that lack secondary or tertiary confirmation.
Non-Redundant Event Limiting: Each entry is labeled as a unique event. The indicator does not repeat signals on subsequent bars unless all entry conditions are freshly met.
Trading Strategy Application
Trend Identification: By requiring concurrence among MA, MACD, RSI, and BB, this tool identifies only those trends with robust, multifactor support.
Breakout and Momentum Entry: Signals are bias-toward trades that initiate at likely breakout points (outside BB range), combined with fresh momentum and trend alignment.
Manual Discretion for Exits: The design is to empower traders with high-confidence entries and leave risk management or partial profit-taking adaptive to trader style, using visual cues from all component indicators.
Alert Generation: Each buy/sell event optionally triggers an alert, supporting systematic monitoring without constant chart watching.
LogPressure Envelope [BOSWaves]LogPressure Envelope – Adaptive Volatility & Trend Visualizer
Overview
LogPressure Envelope is a specialized trading tool designed to normalize market behavior using logarithmic price scaling while providing an adaptive framework for volatility and trend detection. The indicator calculates a log-based moving average midline, surrounds it with asymmetric volatility envelopes, and replaces the conventional cloud with progressive fan lines to present price action in a more interpretable form.
By integrating rate-of-change midline coloring, fading trend strength, and structured buy/sell markers, LogPressure Envelope simplifies the reading of complex market dynamics. Its design makes it suitable for multiple trading approaches, including scalping, intraday, and swing trading, where volatility behavior and trend shifts must be understood quickly and objectively.
Unlike static envelope indicators, LogPressure Envelope adapts continuously to price scale and volatility conditions. It evaluates log-transformed prices, applies configurable moving average methods (EMA, SMA, WMA), and derives asymmetric standard-deviation bands for both upside and downside moves. These envelopes are projected as fan lines with adjustable opacity, producing a layered volatility map that evolves with the market.
This system ensures each visual element—midline shading, candle coloring, fan structure, and signal markers—reflects real-time market conditions, allowing traders to interpret volatility expansion, contraction, and directional bias with clarity.
How It Works
The foundation of LogPressure Envelope is the logarithmic transformation of price. By operating in log space, the indicator removes distortions caused by large nominal price differences across assets, enabling consistent analysis of both low-priced and high-priced instruments.
A moving average of log prices is calculated (EMA, SMA, or WMA depending on user input) and then re-converted to normal price scale, forming the log midline. Standard deviation of log prices is then measured over a separate period, with independent multipliers for upside and downside deviations. This asymmetry captures the fact that markets often expand differently in bullish versus bearish phases.
Instead of plotting a filled cloud, the envelope is expressed as ten equidistant fan lines stretching from the lower to upper boundary. Each line is shaded progressively to visualize volatility clustering and directional strength without overloading the chart.
Trend determination is smoothed using a fade mechanism: shifts in bias do not flip instantly but gradually move toward the new state, producing fewer false transitions. Buy and sell markers are generated when trend strength crosses confirmation thresholds, ensuring signals are event-driven and contextually meaningful.
Signals and Visuals
LogPressure Envelope provides multiple layers of structured signals:
Midline Bias – Central moving average colored by rate-of-change, reflecting directional acceleration or deceleration.
Volatility Fan – Ten progressive lines forming a gradient between lower and upper bands, visually encoding volatility spread.
Buy Signals – Labels below bars when upward trend strength is confirmed.
Sell Signals – Labels above bars when downward trend strength is confirmed.
Candle Coloring – Optional shading of candles based on trend alignment with the log midline, highlighting bullish, bearish, or neutral conditions.
These signals remain clear even during high-volatility phases, with visual hierarchy maintained through progressive opacity control.
Interpretation
Trend Analysis : Midline direction and candle coloring provide continuous feedback on prevailing bias. Upward-sloping midlines with blue shading indicate bullish phases, while downward slopes with orange shading confirm bearish conditions.
Volatility and Risk Assessment : Expansion of fan lines indicates rising volatility and potential breakout conditions; contraction indicates consolidation and possible mean reversion.
Signal Confirmation : Buy and sell markers validate transitions when trend strength thresholds are crossed, aligning with volatility envelope dynamics.
Market Context : Asymmetric envelopes allow traders to see where bearish acceleration differs from bullish expansion, improving interpretation of liquidity conditions and institutional pressure.
Strategy Integration
LogPressure Envelope can be applied across trading styles:
Trend Following : Enter trades in the direction of midline bias, confirmed by buy or sell markers.
Pullback Entries : Use midline retests during trending conditions as lower-risk continuation points.
Volatility Breakouts : Identify sharp expansions in fan line spacing as early signals of directional moves.
Reversal Strategies : Fade extreme envelope touches when momentum shows exhaustion and fan contraction begins.
Multi-Timeframe Confirmation : Align signals from higher and lower timeframes to reduce noise and validate trade setups.
Stop-loss levels can be set near the opposite envelope boundary, while targets may be managed through progressive volatility zones or midline convergence.
Advanced Techniques
For greater precision, LogPressure Envelope can be combined with other analytical tools:
Pair with volume or liquidity measures to validate breakout or reversal conditions.
Use momentum indicators to confirm ROC-based midline bias.
Track sequences of fan line expansions and contractions to anticipate regime shifts in volatility.
Apply across multiple timeframes to monitor how volatility clusters align at different market scales.
Adjusting parameters such as envelope multipliers, moving average type, and fade bars allows the indicator to adapt to diverse asset classes and volatility environments.
Inputs and Customization
Midline Type : Select EMA, SMA, or WMA.
Line Opacity : Control visibility of fan lines.
Enable Candle Coloring : Toggle trend-based bar shading.
MA Length / StdDev Length : Define periods for midline and volatility calculation.
Multipliers : Set asymmetric scaling for upside and downside envelopes.
Fade Bars : Control smoothness of trend strength transitions.
Fan Lines : Adjust number of envelope subdivisions for visualization granularity.
Why Use LogPressure Envelope
LogPressure Envelope translates complex volatility and trend interactions into a structured and adaptive framework. By combining logarithmic normalization, asymmetric standard deviation envelopes, and smoothed trend confirmation, it allows traders to:
Normalize price analysis across assets of different scales.
Visualize volatility expansion and contraction in real time.
Identify and confirm directional shifts with objective signal markers.
Apply a disciplined system for trend, breakout, and reversal strategies.
This indicator is designed for traders who want a systematic, visually clear approach to volatility-based market analysis without relying on static bands or arbitrary scaling.
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands
Part 1 — Mathematics and Algorithmic Design
Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals.
Data pipeline.
1. Choose a source (default `close`; MTF optional via `request.security`).
2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$.
3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists).
4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer.
5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline).
6. Smooth levels with a short EMA for readability.
Rolling quantiles.
Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate:
* Buy band $\approx Q(q)$
* Sell band $\approx Q(1-q)$
* Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$
Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead.
Residual transform (optional).
In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price.
Volatility-adaptive percentile.
Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is:
Smoothing.
Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals.
Latched state machines.
Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset:
* BUY latch:
(1) HLC3 crosses above the median →
(2) the median is rising →
(3) HLC3 prints above the upper (orange) band → BUY latched.
* SELL latch:
(1) HLC3 crosses below the median →
(2) the median is falling →
(3) HLC3 prints below the lower (teal) band → SELL latched.
Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn.
MTF behavior and repainting.
MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability.
Complexity and parameters.
Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$.
Part 2 — Practical Use for Discretionary/Active Traders
What the bands mean in practice.
The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts.
Two core playbooks.
1. Mean-reversion around a stable median.
* Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging.
* Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up.
* Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry.
* Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop.
* Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down.
2. Continuation with latched confirmations.
* Context: A developing trend where you want fewer but cleaner signals.
* Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation.
* Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum.
* Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple.
Parameter guidance by timeframe.
* Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise.
* Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6.
* Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4.
Baseline choice.
Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands.
How to time entries.
Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size.
Risk management.
Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution.
Combos and filters.
* Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median).
* Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation).
* Volume or session filters (e.g., avoid illiquid hours) can materially improve execution.
Alerts for discretion.
Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise.
Common pitfalls.
Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops.
A concise checklist.
1. Is the median flat (range) or sloped (trend)?
2. Is band width expanding or contracting vs ATR?
3. Are we near the tail level aligned with the intended trade?
4. For continuation: did the 3 steps for a latched signal complete?
5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)?
6. Are you trading during liquid hours for the instrument?
Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries.
Disclaimer
No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
VWMA MACD Amanita Buy/Sell Signals VWMA MACD Amanita Buy/Sell Signals – Volume-Weighted Momentum Indicator
A twist on the classic MACD: this indicator uses Volume Weighted Moving Averages (VWMA) instead of EMAs, giving more weight to price moves backed by higher volume.
Features:
VWMA-based MACD line & signal line
Histogram highlights bullish/bearish momentum
Color-coded for easy visualization
Quick Guide:
MACD above Signal → bullish
MACD below Signal → bearish
Rising histogram → strengthening trend
Falling histogram → weakening trend
Perfect for traders who want momentum confirmed by volume.
Buy/Sell Indicator with Resistance/Support LevelsThis is a simple Multi-Indicator Analysis
Customizable moving averages (SMA, EMA, WMA)
RSI with overbought/oversold levels
MACD with signal line crossovers
Automatic support and resistance level detection
Smart Signal Generation
Strong signals: Require multiple indicators to align
Weak signals: Single indicator confirmations
Visual markers for different signal strengths
Advanced Features
Real-time info table showing current values
Automatic support/resistance line drawing
Multiple alert conditions
Clean, customizable display options
ASI - Meme-CoinsAltcoin Season Indicator (ASI) — Meme Coins (Multi-Timeframe)
Purpose-built for meme coins, which often move off-cycle, with explosive volatility and crowd-driven momentum.
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Why this preset:
Tuned for fast, outsized swings and sharper euphoria/capitulation than standard altcoins.
Prioritizes early trend confirmation and strict overheating exits to help avoid round-trips.
Designed to keep you rational when headlines and social spikes dominate price.
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Usage:
Timeframes: 1D for established memes; 8h for active phases/younger listings; 1h optional for event-driven bursts (expect more noise—confirm with 8h/1D).
Best fit: high-volatility meme coins with sufficient trading activity/liquidity.
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Reading:
Green zone → Entry (credible bottoming / early impulse)
Red zone → Exit (overheating / distribution risk)
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Who is it for?
Intermediate to advanced crypto traders who focus on memes and want a disciplined, visual BUY/EXIT framework that captures big moves while respecting risk.
*(ASI is a timing tool, not financial advice.)*
ASI - Large-CapsAltcoin Season Indicator (ASI) — Large Caps (1D)
Purpose-built for top-tier, established altcoins (typically Top 10–30, ≳ $15B market cap) that have lived through multiple cycles and move differently than small/mid caps.
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Why this preset:
Calibrated for large-cap behavior: longer bases, steadier trends, and fewer whipsaws.
Highlights true bottoming and genuine overheating on the daily chart—without overreacting to short-term noise.
Ideal when you want clean timing on names that dominate liquidity and follow broader cycle dynamics.
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Usage:
Timeframe: 1D (primary).
Best fit: mature, high-cap projects (Top 10–30; ≳ $15B).
Playbook: Use Large Caps (1D) as your default for majors. If a name becomes more volatile or “mid-cap-like,” you can compare against the Mid Caps (1D) preset; for very young listings, start with Small Caps (8h) until history builds.
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Reading:
Green zone → Entry (credible bottom formation / early uptrend)
Red zone → Exit (overheating / distribution risk)
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Who is it for?
Investors and active traders who want disciplined, visual BUY/EXIT timing on the market’s most established altcoins—capturing the meat of the move while avoiding premature signals.
*(ASI is a timing tool, not financial advice.)*
ASI - Mid-CapsAltcoin-Season Indicator (ASI) - Mid Caps (1D)
Built for established yet still nimble altcoins.
This preset targets projects typically in the ~$200M–$2B market-cap range—assets with solid history but more volatility than top-tier names.
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Why this preset:
Tuned for mid-cap volatility: sensitive enough to catch rotations, restrained enough to avoid noise.
Reads bottoming and overheating phases cleanly on the daily chart.
Versatile across sectors; also works on seasoned small caps that now have sufficient history.
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Usage:
Timeframe: 1D (primary).
Best fit: mid-caps (~$200M–$2B), and small caps with a longer price record.
Playbook: Use Mid Caps (1D) as your go-to once a project has matured beyond the “new listing” phase. If the Default (1D) feels too broad or sluggish for a volatile name, switch to Mid Caps; if a coin is very young, start with Small Caps (8h) and move up to Mid Caps (1D) as history builds.
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Reading:
Green zone → Entry (credible bottoming, start of a new trend)
Red zone → Exit (overheating, distribution risk)
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Who is it for?
Investors and active traders who want disciplined, visual BUY/EXIT timing across a broad mid-cap universe—without overfitting.
*(ASI is a timing tool, not financial advice.)*
ASI - Small-CapsAltcoin Season Indicator (ASI) — Small Caps (8h)
Built for young, fast-moving altcoins with limited price history.
This preset keeps ASI’s core edge—timed entries at real bottoms and timely exits near overheating—but is tuned to read early small-cap structure on the 8-hour chart.
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Why this preset:
Optimized for new listings and low-cap projects with short daily history.
Higher sensitivity to early trend shifts without chasing one-off spikes.
Same clean read as Default: it adapts to the coin and the market phase.
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Usage:
Timeframe: 8h (primary).
Best fit: newer/smaller projects (e.g., early listings and emerging narratives).
Playbook: If the Default (1D) shows no actionable read on a young coin, switch to Small Caps (8h). As the asset matures and builds sufficient history, transition back to Default (1D).
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Reading:
Green zone → Entry (credible bottoming, start of a new leg)
Red zone → Exit (overheating, distribution risk)
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Who is it for?
Traders hunting early rotations in small caps who still want disciplined timing and clear visuals.
*(ASI is a timing tool, not financial advice.)*
Elite indicatorElite Indicator – AI-Driven Signals for Profitable Trading in Stocks, Forex, and Crypto !
Unlock your trading potential with the Elite Indicator, your ultimate AI-powered trading companion for stocks, forex, and crypto markets. Designed to simplify your trading journey, this indicator delivers precise BUY/SELL signals directly on your chart, empowering you to trade with confidence across multiple timeframes, from 1-minute scalping to 1-day trading strategies.
Leverage the power of AI to identify high-probability trading opportunities, backed by rigorous backtesting and a proven high win-rate.
Join the ranks of traders who have transformed their strategies with Elite Indicator – where advanced technology meets user-friendly design. Elevate your trading game and stay ahead of the curve in today's fast-paced markets.
Transform Your Trading – Join the Elite! 🔥
Disclaimer: Trading involves inherent risks. Use this indicator as part of a broader risk management strategy and never invest more than you can afford to lose.
Multi EMA Cross with EMA ConfluenceMulti EMA Cross with EMA Confluence
This indicator combines the power of multiple EMA crossovers with a higher-timeframe confluence filter to help traders visualize potential bullish and bearish conditions on their charts.
Two groups of EMAs work together to establish alignment:
Group 1 (Fast / Slow Pair) – Shorter-term momentum shifts
Group 2 (Fast / Slow Pair) – Broader trend confirmation
On top of that, an optional Confluence EMA (default 200 EMA) acts as an additional filter, ensuring that signals align with the larger market trend.
Key features:
Customizable EMA lengths, colors, and confluence settings
Background highlighting when conditions align bullish or bearish
Clear buy/sell labels when new conditions trigger
Flexible enough to adapt across timeframes and trading styles
This tool is designed to enhance chart clarity and help you stay aligned with momentum and trend. It is not meant to replace your own analysis but rather to complement it.
Disclaimer: This script is for educational and informational purposes only. It is not financial advice. Trading involves risk, and you should always do your own research or consult with a licensed financial professional before making investment decisions.
The Oracle by JaeheeThe Oracle
Summary
The Oracle is a volatility-adaptive trend indicator built on a smoothed range filter, persistence counters, and regime-flip logic. Signals appear only when price establishes a sustained move and flips from one regime to the other. An EMA(50)-anchored ribbon provides a flowing visual context but does not drive signals.
What it does
① Calculates a smoothed volatility-based range to adapt to market conditions
② Builds a filtered price path that reduces single-bar noise
③ Tracks persistence of upward or downward filter movement with counters
④ Confirms Buy/Sell signals only on regime flips, not on single ticks
⑤ Draws a multi-phase ribbon around EMA(50) to visualize slope and bias
How it works (concept level)
① Smoothed Range: Double EMA of absolute price change, scaled by multiplier
② Filtered Price: Range filter constrains price movement to reduce noise
③ Persistence Counters: Upward/Downward counters accumulate only if the filter continues in one direction
④ Signal Logic:
• Buy = price above filter AND prior regime was short
• Sell = price below filter AND prior regime was long
• Requires a full flip of state to confirm new signals
⑤ Ribbon: EMA(50) baseline with sinusoidal offsets creates a flowing ribbon, colored by EMA slope (visual only)
Why it is useful
① Noise resistance: Avoids whipsaws by requiring persistence + state flips
② Clarity: Ribbon visually encodes background trend for quick recognition
③ Balanced design: Combines volatility adaptation, persistence, and confirmation in one framework
④ Adaptable: Works across assets and timeframes without heavy parameter tuning
How to use it
① Signal reading:
• ✧ Buy marker = confirmed transition into an upward regime
• ✧ Sell marker = confirmed transition into a downward regime
• Use bar close confirmation
② Ribbon context: Align trades with ribbon slope/color to stay with the dominant trend
③ Timeframes:
• Higher (4H, Daily) = better swing bias
• Lower (5m, 15m) = faster signals but noisier
④ Combination: Pair with ATR stops, position sizing, or volume/momentum studies for added confirmation
Limitations
① Still possible to see false flips in choppy consolidations
② Smoothing introduces slight delay in regime confirmation
③ Signals can repaint intrabar — confirm on bar close
④ Indicator only — no built-in money management or strategy logic
Best Practices (Recommended Use)
① Confirm on bar close
• Signals can change intrabar; always make decisions after the bar has closed.
② Validate across multiple timeframes
• Although the tool adapts to volatility, reliability improves on higher timeframes.
• In practice, the 1-hour chart has shown the most stable balance between reactivity and noise.
③ Align with ribbon bias
• Trade in the same direction as the ribbon slope/color to reduce countertrend exposure.
④ Combine with independent risk management
• Use stop-losses, position sizing, or ATR-based targets outside the script.
• The indicator highlights transitions, but risk control must be user-defined.
⑤ Use as confirmation, not prediction
• Treat signals as confirmation of regime change, not as a forecast of future price.
Altcoin-Season Indicator (ASI)Altcoin Season Indicator (ASI) — Invite Only
The ASI is not just another standard oscillator .
It identifies with impressive precision when an altcoin is reaching local tops – often exactly at the peak of an altcoin season – and when a true bottom formation is taking place.
Uniqueness:
It dynamically adapts to every market phase and to each individual altcoin.
This avoids two of the biggest mistakes:
- Entering too early into ongoing sell-offs ( “catching a falling knife” )
- Exiting too early before actual overheating
The result: maximum flexibility, highest precision.
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Usage:
- Timeframe: 1D (recommended), 8h only for very young coins
- Best range: approx. Top 300 altcoins (Small-, Mid- and Large Caps)
Reading:
- Green zone → Entry signal (true bottom formation, start of a new trend phase)
- Red zone → Exit signal (overheating, start of distribution)
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Who is it for?
- Beginners: clear, visual BUY/EXIT signals without complex interpretation
- Advanced & professionals: a tool that integrates seamlessly into existing strategies and captures the big moves
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*(The ASI is a timing tool. Not financial advice.)*
PA Buy Sell : By Josh Sniper Laos – PROPA Buy : Sell : By Josh Sniper Laos
อินดี้วิเคราะห์พฤติกรรมราคา (Price Action) และรูปแบบแท่งเทียน (Candlestick Patterns) พร้อมสัญญาณ Buy/Sell และคำอธิบายแนวโน้มภาษาไทย
💡 แนวคิดการทำงาน
อินดี้นี้ออกแบบมาเพื่อให้เทรดเดอร์สามารถ อ่านพฤติกรรมราคาได้อย่างรวดเร็ว ผ่านการตรวจจับแท่งเทียนสำคัญ และให้สัญญาณพร้อมคำอธิบายแนวโน้มทันที โดยสามารถเลือกได้ว่าจะรอให้แท่งปิดก่อน หรือให้สัญญาณทันทีแบบ Real-time
🔍 ฟีเจอร์หลัก
ตรวจจับ Candlestick Patterns ครอบคลุมกว่า 15 แบบ
Bullish Engulfing, Bearish Engulfing
Hammer, Inverted Hammer
Morning Star, Evening Star
Bullish Harami, Bearish Harami
Three White Soldiers, Three Black Crows
Piercing Pattern, Dark Cloud Cover
Belt Hold (Bull/Bear)
Kicker Pattern (Bull/Bear)
Tweezer Top, Tweezer Bottom
และแพทเทิร์นสำคัญอื่น ๆ
คำอธิบายแนวโน้มเป็นภาษาไทย
เช่น “แนวโน้มขาขึ้น – มีแรงซื้อชัดเจน” หรือ “แนวโน้มขาลง – มีแรงขายกดดัน”
เหมาะสำหรับมือใหม่ที่ยังไม่ชำนาญการอ่านแท่งเทียน
ปรับแต่งสีของตัวหนังสือได้
สามารถตั้งสีสัญญาณ Buy/Sell ให้เข้ากับธีมกราฟของคุณได้ทันที
เลือกโหมดสัญญาณ
รอปิดแท่งก่อน เพื่อความแม่นยำ
ไม่รอปิดแท่ง เพื่อรับสัญญาณเร็ว (เหมาะกับสาย Scalping)
โหมดแสดงผล
แสดงเป็นไอคอน Buy/Sell บนกราฟ
หรือแสดงพร้อมคำอธิบายประกอบ
🧠 วิธีใช้
Buy: ใช้เมื่อขึ้นสัญญาณ Bullish พร้อมคำอธิบายแนวโน้มสนับสนุน เช่น Bullish Engulfing หรือ Morning Star ในโซนสนับสนุน (Support)
Sell: ใช้เมื่อขึ้นสัญญาณ Bearish พร้อมคำอธิบายแนวโน้มสนับสนุน เช่น Bearish Engulfing หรือ Evening Star ในโซนต้าน (Resistance)
ใช้ร่วมกับเครื่องมืออื่น ๆ เช่น เส้นแนวโน้ม, OB/FVG, หรือ RSI เพื่อเพิ่มความแม่นยำ
📌 Indicator Name
PA Buy : Sell : By Josh Sniper Laos
Price Action & Candlestick Pattern Analyzer with Buy/Sell Signals + Trend Description in English & Thai.
💡 Concept
This indicator is designed to help traders read price action instantly by detecting key candlestick patterns and providing clear Buy/Sell signals along with trend descriptions.
You can choose between waiting for bar close for higher accuracy or real-time alerts for faster reactions.
🔍 Key Features
Covers 15+ Major Candlestick Patterns
Bullish Engulfing, Bearish Engulfing
Hammer, Inverted Hammer
Morning Star, Evening Star
Bullish Harami, Bearish Harami
Three White Soldiers, Three Black Crows
Piercing Pattern, Dark Cloud Cover
Bull/Bear Belt Hold
Bull/Bear Kicker Pattern
Tweezer Top, Tweezer Bottom
And more…
Bilingual Trend Descriptions (English + Thai)
Example: “Bullish Trend – Strong Buying Pressure”
Example: “แนวโน้มขาขึ้น – มีแรงซื้อชัดเจน”
Perfect for both beginners and advanced traders.
Customizable Text Colors
Easily match your chart theme for better visibility.
Signal Mode Options
Wait for Candle Close – Higher accuracy, reduced false signals.
No Wait (Real-Time) – Faster entry signals, great for scalping.
Flexible Display Modes
Icons only (Buy/Sell)
Icons + Text description for more context
🧠 How to Use
Buy: When a Bullish signal appears along with a supportive trend description, e.g., Bullish Engulfing or Morning Star at a key Support zone.
Sell: When a Bearish signal appears along with a supportive trend description, e.g., Bearish Engulfing or Evening Star at a Resistance zone.
Combine with market structure, Support/Resistance, OB/FVG, or RSI for better precision.
Josh Sniper Laos📌 Josh Sniper Laos – Who It’s For & Why You Need It
If you’re…
Tired of indicators that throw false signals and leave you entering late or exiting too soon
Looking for trend direction, entry/exit points, and risk level all in one clean chart
Wanting a system that filters out noise and focuses only on high-probability opportunities
Trading Swing, Day Trade, or even Scalping and need adaptable tools
Josh Sniper Laos was built for you.
This isn’t just another “signal spam” tool — it’s a precision sniper system.
You’ll see the main trend, price zones, entry and exit levels, and risk levels at a glance, without flipping between multiple indicators or second-guessing your trades.
What Makes It Different
Combines trend analysis, entry timing, exit signals, and risk assessment in one tool
Filters out low-quality setups with volatility and price structure detection
Fully customizable to fit your trading style and risk tolerance
If you want a decision-making edge that shows you the big picture and the exact moments to act with confidence,
this is the one indicator you’ll want to keep on your chart — trade after trade.
Trader's Club IndicatorTrader’s Club Indicator
The Trader’s Club Indicator is an advanced confluence-based tool combining Bollinger Bands , Relative Strength Index (RSI) , VWAP with multi-band overlays , and an intelligent chained divergence detection engine. It identifies potential buy/sell setups by aligning price extremes with momentum shifts and volume-weighted trends. The “E” signal highlights enhanced entry opportunities based on RSI divergence and price candle behaviour — offering a timing edge for informed traders.
TRADING METHOD
This indicator works best on 1-Minute candles. Tested it successfully on XAUUSD.
Buy signal: 'E' in a Blue box.
Sell signal: 'E' in a Red box.
Chained Divergence: White dot on the top or bottom of a candle. This shows possibility of a reversal from that zone.
Use the Buy/Sell signals in conjunction with the VWAP levels. If the Buy/Sell Signals form at VWAP and a key support/resistance level, that is an additional confluence.
Disclaimer
This indicator is for informational and educational purposes only. Trading involves risk, and you are solely responsible for your decisions. Do not rely solely on the buy/sell ‘E’ signals — it’s crucial to use additional confirmation, context, and personal judgment before placing trades. Always practice proper risk management and consider combining this indicator with broader technical or fundamental confluences.
52SIGNAL RECIPE Whale Smart Money Detector52SIGNAL RECIPE Whale Smart Money Detector
◆ Overview
52SIGNAL RECIPE Whale Smart Money Detector is an innovative indicator that detects the movements of whales (large investors) in the cryptocurrency market in real-time. This powerful tool tracks large-scale trading activities that significantly impact the market, providing valuable signals before important market direction changes occur. It can be applied to any cryptocurrency chart, allowing traders to follow the movements of big money anytime, anywhere.
The unique strength of this indicator lies in its comprehensive analysis of volume surges, price volatility, and trend strength to accurately capture whale market entries and exits. By providing clear visual representation of large fund flow data that is difficult for ordinary traders to detect, you gain the opportunity to move alongside the big players in the market.
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◆ Key Features
• Whale Activity Detection System: Analyzes volume surges and price impacts to capture large investor movements in real-time
• Precise Volume Analysis: Distinguishes between regular volume and whale volume to track only meaningful market movements
• Market Impact Measurement: Quantifies and analyzes the real impact of whale buying/selling on the market
• Continuity Tracking: Follows market direction continuity after whale activity to confirm signal validity
• Intuitive Visualization: Easily identifies whale activity points through color bar charts and clear labels
• Trend Strength Display: Calculates and displays current market buy/sell strength in real-time in a table
• Whale Signal Filtering: Applies multiple filtering systems to detect only genuine whale activity
• Customizable Sensitivity Settings: Offers flexible parameters to adjust whale detection sensitivity according to market conditions
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◆ Understanding Signal Types
■ Whale Buy Signal
• Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price rises beyond normal volatility
• Visual Representation: Translucent blue bar coloring with "🐋Whale Buying Detected!" label on the candle where the buy signal occurs
• Market Interpretation: Indicates that large funds are actively buying the coin, which is likely to lead to price increases
■ Whale Sell Signal
• Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price falls beyond normal volatility
• Visual Representation: Translucent pink bar coloring with "🐋Whale Selling Detected!" label on the candle where the sell signal occurs
• Market Interpretation: Indicates that large funds are actively selling the coin, which is likely to lead to price decreases
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◆ Understanding Trend Analysis
■ Trend Analysis Method
• Definition: Measures current trend and strength by analyzing the ratio of up/down candles over a set period
• Visual Representation: Displayed in the table as "BUY" and "SELL" percentages, with the current trend clearly marked as "BULLISH", "BEARISH", or "NEUTRAL"
• Calculation Method:
▶ Buy ratio = (Number of up candles) / (Total analysis period)
▶ Sell ratio = (Number of down candles) / (Total analysis period)
▶ Current trend determined by the dominant ratio as "BULLISH" or "BEARISH"
■ Trend Utilization Methods
• Whale Signal Confirmation: Signal reliability increases when whale signals align with the current trend
• Reversal Point Identification: Opposing whale signals during strong trends may indicate important reversal points
• Market Strength Assessment: Understand the balance of power in the current market through buy/sell ratios
• Signal Context Understanding: Consider trend information alongside whale signals for interpretation in a broader market context
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◆ Indicator Settings Guide
■ Key Setting Parameters
• Volume Impact Factor:
▶ Purpose: Sets the minimum multiplier for immediate volume impact to be considered whale activity
▶ Lower values: Generate more signals, detect smaller whales
▶ Higher values: Fewer signals, detect only very large whales
▶ Recommended range: 2.0-4.0 (adjust according to market conditions)
• Sensitivity Factor:
▶ Purpose: Adjusts sensitivity of price movement relative to normal volatility
▶ Lower values: Increased sensitivity, more signals generated
▶ Higher values: Decreased sensitivity, only stronger price impacts detected
▶ Recommended range: 0.2-0.5 (set higher in highly volatile markets)
• Trend Analysis Period:
▶ Purpose: Sets the number of candles to calculate buy/sell ratios
▶ Lower values: More responsive to recent trends
▶ Higher values: More stable analysis considering longer-term trends
▶ Recommended range: 30-70 (adjust according to trading style)
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◆ Synergy with Other Indicators
• Key Support/Resistance Levels:
▶ Whale signals occurring near important technical levels have higher reliability
▶ Coincidence of weekly/monthly pivot points and whale signals confirms important price points
• Moving Averages:
▶ Pay attention to whale signals near key moving averages (50MA, 200MA)
▶ Simultaneous occurrence of moving average breakouts and whale signals indicates important technical events
• Volume Profile:
▶ Whale activity near high volume nodes confirms important price levels
▶ Whale signals at low volume nodes may indicate possibility of rapid price movements
• Volatility Indicators:
▶ Whale signals after periods of low volatility may mark the beginning of new market movements
▶ Whale signals after Bollinger Band contraction may be precursors to large movements
• Market Structure:
▶ Whale signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
▶ Coincidence of market structure changes and whale activity may signal important trend changes
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◆ Conclusion
52SIGNAL RECIPE Whale Smart Money Detector tracks the trading activities of large investors in the cryptocurrency market in real-time, providing traders with valuable insights. Because it can be applied to any cryptocurrency chart, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of large fund flows that are easily missed by ordinary traders. By comprehensively analyzing volume surges, immediate price impacts, and trend continuity to accurately capture whale activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals and real-time trend strength measurements help traders quickly grasp market conditions and understand market direction. By integrating this powerful tool into your trading system, gain insights into where the market's smart money is flowing for better market understanding.
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※ Disclaimer: Like all trading tools, the 52SIGNAL RECIPE Whale Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of whale behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
52SIGNAL RECIPE Whale Smart Money Detector
◆ 개요
52SIGNAL RECIPE Whale Smart Money Detector는 암호화폐 시장에서 고래(대형 투자자)의 움직임을 실시간으로 감지하는 혁신적인 지표입니다. 이 강력한 도구는 시장에 큰 영향을 미치는 대규모 트레이딩 활동을 추적하여 중요한 시장 방향 전환이 일어나기 전에 귀중한 신호를 제공합니다. 모든 암호화폐 차트에 적용 가능하여 트레이더들이 언제 어디서든 대형 자금의 움직임을 따라갈 수 있게 해줍니다.
이 지표의 독보적인 강점은 거래량 급증, 가격 변동성, 그리고 추세 강도를 종합적으로 분석하여 고래의 시장 진입과 퇴출을 정확히 포착한다는 점입니다. 일반 트레이더들이 놓치기 쉬운 대형 자금의 흐름 데이터를 시각적으로 명확하게 제공함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
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◆ 주요 특징
• 고래 활동 감지 시스템: 거래량 급증과 가격 임팩트를 분석하여 대형 투자자의 움직임을 실시간으로 포착
• 정밀한 거래량 분석: 일반 거래량과 고래 거래량을 구분하여 의미 있는 시장 움직임만 추적
• 시장 영향력 측정: 고래의 매수/매도가 시장에 미치는 실질적 영향력을 수치화하여 분석
• 연속성 추적: 고래 활동 이후 시장 방향의 지속성을 추적하여 신호의 유효성 확인
• 직관적 시각화: 컬러 바 차트와 명확한 라벨을 통해 고래 활동 지점을 쉽게 식별
• 추세 강도 표시: 현재 시장의 매수/매도 강도를 실시간으로 계산하여 테이블에 표시
• 고래 신호 필터링: 진정한 고래 활동만 감지하도록 다중 필터링 시스템 적용
• 맞춤형 감도 설정: 시장 상황에 따라 고래 감지 감도를 조절할 수 있는 유연한 파라미터 제공
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◆ 신호 유형 이해하기
■ 고래 매수 신호
• 정의: 거래량이 평균보다 크게 증가하고, 즉각적인 거래량 충격이 크며, 가격이 정상 변동성을 초과하여 상승할 때 발생
• 시각적 표현: 매수 신호가 발생한 캔들에 반투명 파란색 바 컬러링과 함께 "🐋Whale Buying Detected!" 라벨 표시
• 시장 해석: 대형 자금이 적극적으로 코인을 매수하고 있으며, 이는 곧 가격 상승으로 이어질 가능성이 높음을 의미
■ 고래 매도 신호
• 정의: 거래량이 평균보다 크게 증가하고, 즉각적인 거래량 충격이 크며, 가격이 정상 변동성을 초과하여 하락할 때 발생
• 시각적 표현: 매도 신호가 발생한 캔들에 반투명 분홍색 바 컬러링과 함께 "🐋Whale Selling Detected!" 라벨 표시
• 시장 해석: 대형 자금이 적극적으로 코인을 매도하고 있으며, 이는 곧 가격 하락으로 이어질 가능성이 높음을 의미
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◆ 추세 분석 이해하기
■ 추세 분석 방식
• 정의: 설정된 기간 동안의 상승/하락 캔들 비율을 분석하여 시장의 현재 추세와 강도를 측정
• 시각적 표현: 테이블에 "BUY"와 "SELL" 비율이 백분율로 표시되며, 현재 추세가 "BULLISH", "BEARISH" 또는 "NEUTRAL"로 명확하게 표시됨
• 계산 방식:
▶ 매수 비율 = (상승 캔들 수) / (전체 분석 기간)
▶ 매도 비율 = (하락 캔들 수) / (전체 분석 기간)
▶ 우세한 비율에 따라 "BULLISH" 또는 "BEARISH" 추세 결정
■ 추세 활용 방법
• 고래 신호 확인: 고래 신호가 현재 추세와 일치할 때 신호의 신뢰도가 높아짐
• 반전 포인트 식별: 강한 추세 속에서 발생하는 반대 방향의 고래 신호는 중요한 반전 포인트일 수 있음
• 시장 강도 평가: 매수/매도 비율을 통해 현재 시장의 세력 균형 파악
• 신호 발생 맥락 이해: 추세 정보와 고래 신호를 함께 고려하여 더 넓은 시장 컨텍스트에서 해석
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◆ 지표 설정 가이드
■ 주요 설정 매개변수
• Volume Impact Factor (거래량 임팩트 요소):
▶ 목적: 고래 활동으로 간주할 즉각적인 거래량 충격의 최소 배수 설정
▶ 낮은 값: 더 많은 신호 생성, 작은 고래도 감지
▶ 높은 값: 더 적은 신호, 매우 큰 고래만 감지
▶ 권장 범위: 2.0-4.0 (시장 상황에 따라 조정)
• Sensitivity Factor (민감도 요소):
▶ 목적: 정상 변동성 대비 가격 변동의 민감도 조절
▶ 낮은 값: 민감도 증가, 더 많은 신호 생성
▶ 높은 값: 민감도 감소, 더 강한 가격 충격만 감지
▶ 권장 범위: 0.2-0.5 (변동성이 높은 시장에서는 높게 설정)
• Trend Analysis Period (추세 분석 기간):
▶ 목적: 매수/매도 비율을 계산할 캔들 수 설정
▶ 낮은 값: 최근 추세에 더 민감하게 반응
▶ 높은 값: 더 긴 기간의 추세를 고려하여 안정적인 분석
▶ 권장 범위: 30-70 (트레이딩 스타일에 따라 조정)
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◆ 다른 지표와의 시너지
• 주요 지지/저항 레벨:
▶ 중요한 기술적 레벨 근처에서 발생하는 고래 신호는 더 높은 신뢰도를 가짐
▶ 주간/월간 피봇 포인트와 고래 신호의 일치는 중요한 가격 지점을 확인해줌
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처에서 발생하는 고래 신호에 주목
▶ 이동평균선 돌파와 고래 신호가 동시 발생 시 중요한 기술적 이벤트 확인
• 볼륨 프로필:
▶ 높은 볼륨 노드 근처에서의 고래 활동은 중요한 가격 레벨 확인
▶ 낮은 볼륨 노드에서 발생하는 고래 신호는 급격한 가격 이동 가능성 암시
• 변동성 지표:
▶ 낮은 변동성 구간 이후 발생하는 고래 신호는 새로운 시장 움직임의 시작일 수 있음
▶ 볼린저 밴드 수축 후 발생하는 고래 신호는 큰 움직임의 전조일 수 있음
• 시장 구조:
▶ 주요 시장 구조(높은 고점/저점, 낮은 고점/저점) 근처에서 발생하는 고래 신호는 구조 변화 암시
▶ 시장 구조 변화와 고래 활동의 일치는 중요한 트렌드 변화 신호일 수 있음
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◆ 결론
52SIGNAL RECIPE Whale Smart Money Detector는 암호화폐 시장에서 대형 투자자들의 거래 활동을 실시간으로 추적하여 트레이더들에게 귀중한 통찰력을 제공합니다. 모든 암호화폐 차트에 적용 가능하기 때문에, 여러분이 선호하는 트레이딩 플랫폼에서 바로 활용할 수 있습니다.
이 지표의 핵심 가치는 일반 트레이더들이 놓치기 쉬운 대형 자금의 흐름을 직관적으로 시각화하여 제공한다는 점입니다. 거래량 급증, 즉각적인 가격 충격, 그리고 추세 지속성을 종합적으로 분석하여 고래의 활동을 정확히 포착함으로써, 여러분은 시장을 움직이는 큰 손들과 함께할 수 있는 기회를 얻게 됩니다.
명확한 매수/매도 신호와 실시간 추세 강도 측정은 트레이더들이 시장 상황을 한눈에 파악하고 시장의 방향성을 이해하는 데 도움을 줍니다. 이 강력한 도구를 여러분의 트레이딩 시스템에 통합함으로써, 시장의 스마트 머니가 어디로 흘러가는지 파악하고 더 나은 통찰력을 얻으세요.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, 52SIGNAL RECIPE Whale Smart Money Detector는 보조 지표로 사용해야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 고래 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 활용하세요.
Signalgo MASignalgo MA is a TradingView indicator based on moving average (MA) trading by combining multi-timeframe logic, trend strength filtering, and adaptive trade management. Here’s a deep dive into how it works, its features, and why it stands apart from traditional MA indicators.
How Signalgo MA Works
1. Multi-Timeframe Moving Average Analysis
Simultaneous EMA & SMA Tracking: Signalgo MA calculates exponential (EMA) and simple (SMA) moving averages across a wide range of timeframes—from 1 minute to 3 months.
Layered Cross Detection: It detects crossovers and crossunders on each timeframe, allowing for both micro and macro trend detection.
Synchronized Signal Mapping: Instead of acting on a single crossover, the indicator requires agreement across multiple timeframes to trigger signals, filtering out noise and false positives.
2. Trend Strength & Quality Filtering
ADX Trend Filter: Trades are only considered when the Average Directional Index (ADX) confirms a strong trend, ensuring signals are not triggered during choppy or directionless markets.
Volume & Momentum Confirmation: For the strongest signals, the system requires:
A significant volume spike
Price above/below a longer-term EMA (for buys/sells)
RSI momentum confirmation
One-Time Event Detection: Each crossover event is flagged only once per occurrence, preventing repeated signals from the same move.
Inputs
Preset Parameters:
EMA & SMA Lengths: Optimized for both short-term and long-term analysis.
ADX Length & Minimum: Sets the threshold for what is considered a “strong” trend.
Show Labels/Table: Visual toggles for displaying signal and trade management information.
Trade Management:
Show TP/SL Logic: Toggle to display or hide take-profit (TP) and stop-loss (SL) levels.
ATR Length & Multipliers: Fine-tune how SL and TP levels adapt to market volatility.
Enable Trailing Stop: Option to activate dynamic stop movement after TP1.
Entry & Exit Strategy
Entry Logic
Long (Buy) Entry: Triggered when multiple timeframes confirm bullish EMA/SMA crossovers, ADX confirms trend strength, and all volume/momentum filters align.
Short (Sell) Entry: Triggered when multiple timeframes confirm bearish crossunders, with the same strict filtering.
Exit & Trade Management
Stop Loss (SL): Automatically set based on recent volatility (ATR), adapting to current market conditions.
Take Profits (TP1, TP2, TP3): Three profit targets at increasing reward multiples, allowing for flexible trade management.
Trailing Stop: After TP1 is hit, the stop loss moves to breakeven and a trailing stop is activated to lock in further gains.
Event Markers: Each time a TP or SL is hit, a visual label is placed on the chart for full transparency.
Strict Signal Quality Filters: Signals are only generated when volume spikes, momentum, and trend strength all align, dramatically reducing false positives.
Adaptive, Automated Trade Management: Built-in TP/SL and trailing logic mean you get not just signals, but a full trade management suite, rarely found in standard MA indicators.
Event-Driven, Not Static: Each signal is triggered only once per event, eliminating repetitive or redundant entries.
Visual & Alert Integration: Every signal and trade event is visually marked and can trigger TradingView alerts, keeping you informed in real time.
Trading Strategy Application
Versatility: Suitable for scalping, day trading, swing trading, and longer-term positions thanks to its multi-timeframe logic.
Noise Reduction: The layered filtering logic means you only see the highest-probability setups, helping you avoid common MA “fakeouts” and overtrading.
So basically what separates Signalgo MA from traditional MA indicators?
1. Multi-Timeframe Analysis
Traditional MA indicators: Usually measure crossovers or signals within a single timeframe.
Signalgo MA: simultaneously calculates fast/slow EMAs & SMAs for multiple periods. This enables it to create signals based on synchronized or stacked momentum across multiple periods, offering broader trend confirmation and reducing noise from single-timeframe signals.
2. Combinatorial Signal Logic
Traditional: A basic crossover is typically “if fast MA crosses above/below slow MA, signal buy/sell.”
Signalgo MA: Generates signals only when MA crossovers align across several timeframes, plus takes into consideration the presence or absence of conflicting signals in shorter or longer frames. This reduces false positives and increases selectivity.
3. Trend Strength Filtering (ADX Integration)
Traditional: Many MA indicators are “blind” to trend intensity, potentially triggering signals in low volatility or ranging conditions.
Signalgo MA: Employs ADX as a minimum trend filter. Signals will only fire if the trend is sufficiently strong, reducing whipsaws in choppy or sideways markets.
4. Volume & Strict Confirmation Layer
Traditional: Few MA indicators directly consider volume or require confluence with other major indicators.
Signalgo MA: Introduces a “strict signal” filter that requires not only MA crossovers and trend strength, but also (on designated frames):
Significant volume spike,
Price positioned above/below a higher timeframe EMA (trend anchor),
RSI momentum confirmation.
5. Persistent, Multi-Level TP/SL Automated Trade Management
Traditional: Separate scripts or manual management for stop-loss, take-profit, and trailing-stops, rarely fully integrated visually.
Signalgo MA: Auto-plots up to three take-profit levels, initial stop, and a trailing stop (all ATR-based) on the chart. It also re-labels these as they are hit and resets for each new entry, supporting full trade lifecycle visualization directly on the chart.
6. Higher Timeframe SMA Crosses for Long-Term Context
Traditional: Focuses only on the current chart’s timeframe.
Signalgo MA: Incorporates SMA cross logic for weekly, monthly, and quarterly periods, which can contextualize lower timeframe trades within broader cycles, helping filter against counter-trend signals.
7. “Signal Once” Logic to Prevent Over-Trading
Traditional: Will often re-fire the same signal repeatedly as long as the condition is true, possibly resulting in signal clusters and over-trading.
Signalgo MA: Fires each signal only once per condition—prevents duplicate alerts for the same trade context.
