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
Buysellsignal
Advance Trading SystemThis Price Action + Volume based indicator combines Multi‑Timeframe swing structure, volume ranking, liquidity zones and auto long/short signal generation to create an “Advance Trading System” that displays OB (order block‑like) levels, dashboard and entry/exit labels on the chart.
What this indicator does
Looks at recent candles on different timeframes to determine if the trend is more “bullish” or “bearish” (considers it bullish if at least 2 out of 3 timeframes agree).
Picks up the recent swing points where the price can reverse and plots green/red lines on them (called “Buy OB”/“Sell OB” here).
Shows when volume has increased, whether the bar is an inside-bar or not, and a small dashboard in the top-right that shows the trend, reversal levels, volume and LTF/HTF signals.
What are the buttons/settings
Swing Strength: Based on how many bars the recent swing high/low will be confirmed; if the number increases, the signal will come late but with more confidence.
Volume Avg Period: How many bars the volume should be averaged from; this checks “whether the volume is strong or not”.
Show HH/HL/LH/LL Labels: Switch to show/hide swing labels by writing them on the chart.
Show Dashboard: Small panel on/off in the top-right.
Signal Mode: Auto, Long Only, Short Only or Both—that is, whether to follow the auto-trend or see only buy/sell.
LTF/HTF: Choose lower and higher timeframes; also 15m/30m/1h/4h are scanned in the background to understand the recent direction.
How to identify trends and swings
Candle patterns: Simple rule—if the latest candle is biased (e.g. a strong bull/bear or a particularly long wick candle), then the signal for that TF is 1 (bull) or -1 (bear); otherwise 0.
Three TFs: Lower, Mid (which is the chart TF), and Higher—the non-zero signal is considered the “last known direction”; then the number of the three is counted as bull/bear.
Swing high/low: The most recent “solid” high/low on the chart is considered the highest/lowest within a few bars to the left or right; this indicates whether the new high is above (HH) or below (LH) the old one, and whether the new low is above (HL) or below (LL).
What are the green/red lines
If the trend is bullish (at least 2 out of 3 TFs are bullish), a green line is drawn near the previous confirmed low—here it is called Buy OB; the idea is that if the price comes near this zone, a bounce is expected.
On a bearish trend, a red line is drawn near the previous confirmed high—Sell OB—which means if the price comes near that zone, a drop is expected.
Volume colors and inside-bars
color of each bar is determined by the volume ranking: orange/yellow for low volume, varying shades of blue for high volume; if an inside-bar is formed (both high/low inside the previous bar) the bar is darkened to draw attention.
Simple estimation of liquidity zone
When the recent swing high is formed, the total volume is looked at in the surrounding few bars (eg: 3-3 bars before/after) and the upper/lower edge is noted where the maximum concentration is - this is considered as the liquidity zone.
The same is done for the high TF as well and the average of both is taken to form an MTF zone to get a big-picture picture.
What the dashboard shows
Trend (Multi‑TF): HL/HH indicates bullish trend, LH/LL indicates bearish trend; color green/red.
Reversal Level: Level where the recent reversal was confirmed (high/low of the last confirmed swing).
Volume vs Prev: Volume higher/lower/equal to the previous bar.
Volume: Raw number, color green/red depending on whether Price is buy or sell.
LTF/HTF: Last received signal as BUY/SELL.
How entry/exit signals are formed
Basic conditions:
Mood bias: at least 2 TFs in the same direction.
Volume strength: current volume is well above average and higher than the previous bar—i.e. there is real juice.
Near zone: price is in a small band around the green/red line (e.g. within about -2% to +1% for Buy).
Long Entry : all three conditions above are met on the previous close of the bar in the buy direction; Short Entry is the opposite. Exit rule is also placed on the previous bar of the opposite signal, so that everything is on a “confirmed close” and false shocks are minimized.
Labels: once the signal is confirmed, the labels “LONG ENTRY”, “LONG EXIT”, “SHORT ENTRY”, “SHORT EXIT” are applied to the chart on the previous bar itself, with a small ATR-based gap for clear reading.
How Auto/Manual modes work
Auto (TF Based): The system will decide whether to look at Long Only, Short Only, or Both—depending on the Multi‑TF trend.
Long Only/Short Only: Only signals from that side will be generated; Both will generate both.
What to look for in the limits
Swing confirmation takes time, as you have to wait for a few bars to the right—so the signal is more reliable with a slight delay.
The term “OB” is used here for a simple level; this is not pro-level order-block detection (such as with FVG/break-off-structure), but it works well with this system.
Volume ranking is simple; ties are possible at equal volume, which can reduce precision in color-coding.
How to use
First check the trend from the dashboard: focus on the buy zone if HL/HH, sell zone if LH/LL.
Then check if there is a volume spike; without volume confirmation it is better to skip signals.
When the price is right near the green/red line, only work with a confirmed signal on the previous close bar, avoid rushing in between.
This can be made more robust if desired by adding true order‑block, FVG, and additional confirmations (such as RSI/MACD/Structure Break); but the base idea is to combine multi‑timeframe trend + swing levels + volume strength + zone close to produce simple, Tradeable and confirmed signals.
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 Signals - Confluence Engine v1 [mqsxn]The Confluence Signal Engine is a multi-factor indicator designed to highlight high-probability BUY and SELL opportunities.
Instead of relying on a single tool, this script combines trend, momentum, structure, volatility, volume, and higher timeframe agreement into a unified scoring system. Signals are only triggered when enough conditions align, helping filter out weak trades.
The indicator is flexible: you can adjust the importance (weight) of each module, change thresholds, or even simplify with Easy Mode for more frequent signals. Labels and background cues make entries impossible to miss, while optional risk/target lines help visualize potential exits.
This tool is not financial advice. Always backtest and combine with your own strategy and risk management.
⚙️ How it Works
- Trend Module: Checks EMA fast/slow alignment and price relative to EMAs.
- Momentum Module: RSI bias (above/below configurable thresholds).
- Structure Module: Break of structure using highest high / lowest low lookback.
- Volatility Module: Expansion when Bollinger Band width rises above average.
- Volume Module: Detects spikes above volume SMA.
- Higher Timeframe Filter: Optional trend confirmation from a larger timeframe.
- Filters: Session time, ATR rising condition, and cooldown between signals.
- Signals: Appear as giant BUY/SELL labels (Cross, Raw, Filtered) plus optional small labels.
- Risk Lines: Draws stoploss at swing + configurable risk:reward target lines.
📊 Inputs & Settings
Timeframes
- Use Higher Timeframe Filter: Enable confirmation from a larger timeframe.
- Higher Timeframe: Choose the timeframe (set to “Chart” to use the active chart).
Core Settings
- EMA Fast/Slow: Moving averages for trend direction.
- RSI Length: Period for RSI calculation.
- RSI Long/Short Thresholds: Define bullish/bearish momentum bias.
- Structure Lookback: Bars to check for breakouts/breakdowns.
- Bollinger Band Length & Multiplier: For volatility expansion.
- Volume SMA Length: Period for average volume.
- Volume Spike Factor: Multiplier for detecting spikes.
- Cooldown (bars): Minimum bars between filtered signals.
- Min Score to Signal: How strong the confluence must be before signaling.
- Module Weights (0 = ignore)
- Trend: EMA Stack
- HTF Trend Agreement
- Momentum: RSI Bias
- Structure: Breakout/Breakdown
- Volatility: Expansion from Squeeze
- Volume: Spike vs SMA
Filters
- Filter: Only when ATR Rising: Require ATR uptrend.
- ATR Length: Period for ATR.
- Filter: Session Time Only: Restrict to intraday session.
- Session: Default is 09:30–16:00 (U.S. equities).
Visuals & Alerts
- Color Bars by Bias: Paints candles by trend bias.
- Background Stripe for HTF Bias: Subtle background shading.
- Show Small Labels: Compact labels near bars.
- Show CROSS Labels: Signals when score crosses threshold.
- Show FILTERED Labels: Signals with all filters + cooldown (main mode).
- Show RAW Labels: Simple threshold signals (no filters).
Risk Lines
- Show Risk/Target Lines: Draw stop at recent swing + 1R/2R target lines.
- Stop at Recent Swing (bars): Swing lookback for SL.
- Target RR #1 & #2: Risk:Reward multiples to project.
Debug
- Easy Mode: Lower thresholds and disable filters for more frequent testing signals.
- Show Debug Plots: Overlay raw scores vs threshold.
✅ Best Practices
Start with Easy Mode to confirm labels plot, then raise thresholds and re-enable filters.
Use higher thresholds + HTF agreement for cleaner, rarer signals.
Adjust weights to prioritize the modules you trust most.
Combine with your own support/resistance, order flow, or risk management.
⚠️ Disclaimer: This script is for educational purposes only. It does not guarantee profitability. Always test on demo accounts or paper trading before applying to live capital.
Following me @mqsxn on TradingView for more, and gain access to the source code through my paid Discord (7 day free trial): whop.com
HyperTrend - [SuperTrend + More Confluences Engine] [mqsxn]HyperTrend is a next-generation trend detection and confluence engine that combines multiple proven methods into one powerful tool. Instead of relying on a single indicator, HyperTrend creates a weighted "confidence score" that shows whether the market is favoring UP or DOWN direction.
🔎 How it works
HyperTrend blends together several modules:
- Trend Bias — EMA stack, SuperTrend, Donchian slope, structural breakouts (BOS).
- Momentum — RSI pivot vs 50, MACD histogram sign, ADX (+DI/−DI).
- Volume Flow — Chaikin Money Flow (CMF), On-Balance Volume (OBV) slope.
- Volatility Regime — ATR expansion and Bollinger Band width.
- Multi-Timeframe Alignment — Optional higher-timeframe confirmation (e.g., 1H, 4H, Daily).
Each module can be weighted in importance, allowing you to fine-tune how much each factor contributes to the directional consensus.
📊 Features
- Confidence Scores — See UP vs DOWN percentages (0–100) in real time.
- Background Heatmap — Market bias shading (strong uptrend / strong downtrend).
- Confluence Table — Easy breakdown of how each module is voting.
- Visual Signals — Arrows on trend shifts, SuperTrend trail for context.
- Alerts — Turned UP / Turned DOWN / Strong Trend alerts ready to go.
⚡ How to Use
- Directional Filter — Use HyperTrend to confirm whether the bias is bullish or bearish before taking trades.
- Confidence Levels — Strong UP or DOWN signals suggest higher conviction setups, while weaker readings mean caution.
- Multi-Timeframe Confluence — Enable HTF mode to only confirm direction when the higher timeframe agrees.
🚀 Why HyperTrend?
Most tools only tell you one thing — HyperTrend merges multiple perspectives into one consensus engine. The result is a simple but powerful answer: Is the market leaning UP or DOWN?
📩 Follow @mqsxn to get notified when new tools and strategies drop.
🔔 Don’t forget to set alerts for "Turned UP" and "Turned DOWN" so you never miss a shift.
Gain access to my paid Discord for access to the full source code (paid users only) (7 day free trial): whop.com
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.
---
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
---
*(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
─────────────────────────────────────
◆ 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
─────────────────────────────────────
◆ 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.
Ultimate Scalping Strategy v2Strategy Overview
This is a versatile scalping strategy designed primarily for low timeframes (like 1-min, 3-min, or 5-min charts). Its core logic is based on a classic EMA (Exponential Moving Average) crossover system, which is then filtered by the VWAP (Volume-Weighted Average Price) to confirm the trade's direction in alignment with the market's current intraday sentiment.
The strategy is highly customizable, allowing traders to add layers of confirmation, control trade direction, and manage exits with precision.
Core Strategy Logic
The strategy's entry signals are generated when two primary conditions are met simultaneously:
Momentum Shift (EMA Crossover): It looks for a crossover between a fast EMA (default length 9) and a slow EMA (default length 21).
Buy Signal: The fast EMA crosses above the slow EMA, indicating a potential shift to bullish momentum.
Sell Signal: The fast EMA crosses below the slow EMA, indicating a potential shift to bearish momentum.
Trend/Sentiment Filter (VWAP): The crossover signal is only considered valid if the price is on the "correct" side of the VWAP.
For a Buy Signal: The price must be trading above the VWAP. This confirms that, on average, buyers are in control for the day.
For a Sell Signal: The price must be trading below the VWAP. This confirms that sellers are generally in control.
Confirmation Filters (Optional)
To increase the reliability of the signals and reduce false entries, the strategy includes two optional confirmation filters:
Price Action Filter (Engulfing Candle): If enabled (Use Price Action), the entry signal is only valid if the crossover candle is also an "engulfing" candle.
A Bullish Engulfing candle is a large green candle that completely "engulfs" the body of the previous smaller red candle, signaling strong buying pressure.
A Bearish Engulfing candle is a large red candle that engulfs the previous smaller green candle, signaling strong selling pressure.
Volume Filter (Volume Spike): If enabled (Use Volume Confirmation), the entry signal must be accompanied by a surge in volume. This is confirmed if the volume of the entry candle is greater than its recent moving average (default 20 periods). This ensures the move has strong participation behind it.
Exit Strategy
A position can be closed in one of three ways, creating a comprehensive exit plan:
Stop Loss (SL): A fixed stop loss is set at a level determined by a multiple of the Average True Range (ATR). For example, a 1.5 multiplier places the stop 1.5 times the current ATR value away from the entry price. This makes the stop dynamic, adapting to market volatility.
Take Profit (TP): A fixed take profit is also set using an ATR multiplier. By setting the TP multiplier higher than the SL multiplier (e.g., 2.0 for TP vs. 1.5 for SL), the strategy aims for a positive risk-to-reward ratio on each trade.
Exit on Opposite Signal (Reversal): If enabled, an open position will be closed automatically if a valid entry signal in the opposite direction appears. For example, if you are in a long trade and a valid short signal occurs, the strategy will exit the long position immediately. This feature turns the strategy into more of a reversal system.
Key Features & Customization
Trade Direction Control: You can enable or disable long and short trades independently using the Allow Longs and Allow Shorts toggles. This is useful for trading in harmony with a higher-timeframe trend (e.g., only allowing longs in a bull market).
Visual Plots: The strategy plots the Fast EMA, Slow EMA, and VWAP on the chart for easy visualization of the setup. It also plots up/down arrows to mark where valid buy and sell signals occurred.
Dynamic SL/TP Line Plotting: A standout feature is that the strategy automatically draws the exact Stop Loss and Take Profit price lines on the chart for every active trade. These lines appear when a trade is entered and disappear as soon as it is closed, providing a clear visual of your risk and reward targets.
Alerts: The script includes built-in alertcondition calls. This allows you to create alerts in TradingView that can notify you on your phone or execute trades automatically via a webhook when a long or short signal is generated.
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.
Signalgo BBSignalgo BB: Technical Overview
Signalgo BB is a Bollinger Bands (BB) indicator for TradingView, designed to provide a multi-dimensional view of volatility, trend, and trading opportunities within a single overlay. Below is a detailed, impartial explanation of its workings, inputs, and trading logic.
Core Mechanics
Signalgo BB operates on the principle of nested volatility bands and moving averages. It calculates:
Fast & Slow Bands: Two sets of Bollinger Bands (BB), using different moving average types (EMA or SMA), lengths, and standard deviation multipliers.
Volatility Cloud: A dynamic visual layer indicating when price is inside both, one, or neither band.
Filtering: A short-term RSI is used to confirm trend direction and filter out weak signals.
Inputs & Components
MA Type: Choice between EMA, SMA for both fast and slow MA calculations.
Fast/Slow Lengths
Fast/Slow Deviations
RSI Length/Thresholds
Show Cloud: Toggle for the visual volatility cloud.
Signal Mode: Band Break.
Prevent Repeated Signals: Option to suppress duplicate signals in the same direction.
TP/SL & Trailing Logic: Advanced, automated trade management with ATR-based distances, three take-profit levels, and a dynamic trailing stop.
Signal Generation
Band Break: Triggers when price crosses the fast BB band.
RSI Filter: All signals require RSI confirmation.
Prevent Repeated Signals: Optionally only marks the first breakout in a series to reduce overtrading.
Entry/Exit Marks: Labels are plotted for visual clarity, and signals can trigger TradingView alerts.
Trade Management
Stop Loss (SL): Set at a multiple of ATR from the entry price, adapting to current volatility.
Take Profits (TP1, TP2, TP3): Three levels scaled by risk-reward ratios, supporting partial exits.
Trailing Stop: After the first TP is hit, SL moves to breakeven and then trails at a user-defined multiple of ATR, locking in further gains.
Event Markers: Each TP, SL, and trailing stop event is labeled on the chart.
Direction State: The indicator tracks active trades, allowing for only one open position per direction at a time.
Cloud Visualization: The background color changes depending on whether price is inside both, one, or no bands, making it easier to visualize market conditions.
Multiple Signal Logics: It doesn’t just look at breakouts, it includes cloud crossings, mean reversion, and a choice of how to combine them.
Rigorous Filtering: Signals require RSI trend confirmation, reducing false entries during weak phases.
Automated Trade Management: Built-in TP/SL and trailing logic, dynamically adapting to volatility.
Signal Suppression: Option to prevent repeated signals, reducing noise and overtrading.
Customizable MA Types: Supports EMA, SMA, and a selection algorithm for future expansion.
Trading Strategy Application
Volatility Regimes: The cloud’s color indicates whether price is inside, between, or outside the bands, helping traders identify trending, ranging, or breakout conditions.
Signals: entries can be based on breakouts filtered by RSI trend strength.
Risk Management: All active trades are managed by TP/SL logic, trailing stops after TP1, and visual feedback on exits.
Visual Alerts: Both signals and TP/SL events are marked on the chart for manual review.
Flexibility: Users can switch modes or suppress repeated signals as needed, depending on trading style.
Practical Usage
Intraday to Swing: Suitable for timeframes from minutes to days, depending on the MA periods and volatility profile.
Manual or Automated: The visual overlay and alerts support both manual trading and automated strategies.
Education & Review: The colored cloud and event markers make it easy to review past price action and learn from signals.
What separates this indicator from traditional ones:
1. Dual Bollinger Bands
Traditional: Most indicators use a single set of Bollinger Bands (two standard deviations above/below a moving average).
Signalgo BB: Implements two sets of bands—a "fast" set (shorter moving average, narrower deviation) and a "slow" set (longer moving average, wider deviation). This provides both immediate (fast) and broader context (slow) for volatility and price action.
2. Volatility Cloud Visualization
Traditional: Standard Bollinger Bands display as two lines, with the area between sometimes shaded as a "band" but without dynamic color changes.
Signalgo BB: The background is colored differently depending on whether price is within both, one, or neither band, offering a visual "cloud" that distinguishes trending, ranging, or breakout regimes at a glance.
3. RSI Filtering
Traditional: Many indicators either don’t filter signals, or if they do, it’s not always configurable.
Signalgo BB: Adds an optional RSI filter, requiring signals to be confirmed by short-term RSI overbought/oversold conditions. This reduces false signals in range-bound or low-trend environments.
4. Prevention of Repeated Signals
Traditional: Most indicators will keep firing signals as long as conditions are met, which can cause overtrading.
Signalgo BB: Offers a user-toggleable option to suppress repeated signals in the same direction until the opposite signal occurs. This reduces noise for discretionary traders.
5. Integrated Trade Management
Traditional: Manual or separate coding is required for stop-loss, take-profit, and trailing stop logic.
Signalgo BB: Builds in dynamic, ATR-based stop-loss; up to three take-profit levels and a trailing stop that activates after the first TP is hit. All levels are visually plotted on the chart, and events (TP/SL hits) are labeled, aiding strategy review and automation.
6. Event Labeling and Alerts
Traditional: Alerts may exist for entry/exit, but rarely for each TP/SL event.
Signalgo BB: Places labels for every entry, exit, and TP/SL event. It also provides TradingView alertconditions for each event, enabling automated notifications or integration with trading bots.
7. Directional State Tracking
Traditional: Indicators typically do not track the "state" of a trade (e.g., active long/short/flat) beyond simple signals.
Signalgo BB: Maintains persistent variables for entry price, SL, TP, trailing stop, and trade direction, ensuring only one active signal per direction. This prevents overlapping entries and mimics realistic trade management.
8. User Customization
Traditional: Default settings are often hardcoded, or customization is limited.
Signalgo BB: Offers extensive user inputs for MA type and TP/SL logic—making the tool adaptable to many strategies and timeframes.
Diamond Peaks [EdgeTerminal]The Diamond Peaks indicator is a comprehensive technical analysis tool that uses a few mathematical models to identify high-probability trading opportunities. This indicator goes beyond traditional support and resistance identification by incorporating volume analysis, momentum divergences, advanced price action patterns, and market sentiment indicators to generate premium-quality buy and sell signals.
Dynamic Support/Resistance Calculation
The indicator employs an adaptive algorithm that calculates support and resistance levels using a volatility-adjusted lookback period. The base calculation uses ta.highest(length) and ta.lowest(length) functions, where the length parameter is dynamically adjusted using the formula: adjusted_length = base_length * (1 + (volatility_ratio - 1) * volatility_factor). The volatility ratio is computed as current_ATR / average_ATR over a 50-period window, ensuring the lookback period expands during volatile conditions and contracts during calm periods. This mathematical approach prevents the indicator from using fixed periods that may become irrelevant during different market regimes.
Momentum Divergence Detection Algorithm
The divergence detection system uses a mathematical comparison between price series and oscillator values over a specified lookback period. For bullish divergences, the algorithm identifies when recent_low < previous_low while simultaneously indicator_at_recent_low > indicator_at_previous_low. The inverse logic applies to bearish divergences. The system tracks both RSI (calculated using Pine Script's standard ta.rsi() function with Wilder's smoothing) and MACD (using ta.macd() with exponential moving averages). The mathematical rigor ensures that divergences are only flagged when there's a clear mathematical relationship between price momentum and the underlying oscillator momentum, eliminating false signals from minor price fluctuations.
Volume Analysis Mathematical Framework
The volume analysis component uses multiple mathematical transformations to assess market participation. The Cumulative Volume Delta (CVD) is calculated as ∑(buying_volume - selling_volume) where buying_volume occurs when close > open and selling_volume when close < open. The relative volume calculation uses current_volume / ta.sma(volume, period) to normalize current activity against historical averages. Volume Rate of Change employs ta.roc(volume, period) = (current_volume - volume ) / volume * 100 to measure volume acceleration. Large trade detection uses a threshold multiplier against the volume moving average, mathematically identifying institutional activity when relative_volume > threshold_multiplier.
Advanced Price Action Mathematics
The Wyckoff analysis component uses mathematical volume climax detection by comparing current volume against ta.highest(volume, 50) * 0.8, while price compression is measured using (high - low) < ta.atr(20) * 0.5. Liquidity sweep detection employs percentage-based calculations: bullish sweeps occur when low < recent_low * (1 - threshold_percentage/100) followed by close > recent_low. Supply and demand zones are mathematically validated by tracking subsequent price action over a defined period, with zone strength calculated as the count of bars where price respects the zone boundaries. Fair value gaps are identified using ATR-based thresholds: gap_size > ta.atr(14) * 0.5.
Sentiment and Market Regime Mathematics
The sentiment analysis employs a multi-factor mathematical model. The fear/greed index uses volatility normalization: 100 - min(100, stdev(price_changes, period) * scaling_factor). Market regime classification uses EMA crossover mathematics with additional ADX-based trend strength validation. The trend strength calculation implements a modified ADX algorithm: DX = |+DI - -DI| / (+DI + -DI) * 100, then ADX = RMA(DX, period). Bull regime requires short_EMA > long_EMA AND ADX > 25 AND +DI > -DI. The mathematical framework ensures objective regime classification without subjective interpretation.
Confluence Scoring Mathematical Model
The confluence scoring system uses a weighted linear combination: Score = (divergence_component * 0.25) + (volume_component * 0.25) + (price_action_component * 0.25) + (sentiment_component * 0.25) + contextual_bonuses. Each component is normalized to a 0-100 scale using percentile rankings and threshold comparisons. The mathematical model ensures that no single component can dominate the score, while contextual bonuses (regime alignment, volume confirmation, etc.) provide additional mathematical weight when multiple factors align. The final score is bounded using math.min(100, math.max(0, calculated_score)) to maintain mathematical consistency.
Vitality Field Mathematical Implementation
The vitality field uses a multi-factor scoring algorithm that combines trend direction (EMA crossover: trend_score = fast_EMA > slow_EMA ? 1 : -1), momentum (RSI-based: momentum_score = RSI > 50 ? 1 : -1), MACD position (macd_score = MACD_line > 0 ? 1 : -1), and volume confirmation. The final vitality score uses weighted mathematics: vitality_score = (trend * 0.4) + (momentum * 0.3) + (macd * 0.2) + (volume * 0.1). The field boundaries are calculated using ATR-based dynamic ranges: upper_boundary = price_center + (ATR * user_defined_multiplier), with EMA smoothing applied to prevent erratic boundary movements. The gradient effect uses mathematical transparency interpolation across multiple zones.
Signal Generation Mathematical Logic
The signal generation employs boolean algebra with multiple mathematical conditions that must simultaneously evaluate to true. Buy signals require: (confluence_score ≥ threshold) AND (divergence_detected = true) AND (relative_volume > 1.5) AND (volume_ROC > 25%) AND (RSI < 35) AND (trend_strength > minimum_ADX) AND (regime = bullish) AND (cooldown_expired = true) AND (last_signal ≠ buy). The mathematical precision ensures that signals only generate when all quantitative conditions are met, eliminating subjective interpretation. The cooldown mechanism uses bar counting mathematics: bars_since_last_signal = current_bar_index - last_signal_bar_index ≥ cooldown_period. This mathematical framework provides objective, repeatable signal generation that can be backtested and validated statistically.
This mathematical foundation ensures the indicator operates on objective, quantifiable principles rather than subjective interpretation, making it suitable for algorithmic trading and systematic analysis while maintaining transparency in its computational methodology.
* for now, we're planning to keep the source code private as we try to improve the models used here and allow a small group to test them. My goal is to eventually use the multiple models in this indicator as their own free and open source indicators. If you'd like to use this indicator, please send me a message to get access.
Advanced Confluence Scoring System
Each support and resistance level receives a comprehensive confluence score (0-100) based on four weighted components:
Momentum Divergences (25% weight)
RSI and MACD divergence detection
Identifies momentum shifts before price reversals
Bullish/bearish divergence confirmation
Volume Analysis (25% weight)
Cumulative Volume Delta (CVD) analysis
Volume Rate of Change monitoring
Large trade detection (institutional activity)
Volume profile strength assessment
Advanced Price Action (25% weight)
Supply and demand zone identification
Liquidity sweep detection (stop hunts)
Wyckoff accumulation/distribution patterns
Fair value gap analysis
Market Sentiment (25% weight)
Fear/Greed index calculation
Market regime classification (Bull/Bear/Sideways)
Trend strength measurement (ADX-like)
Momentum regime alignment
Dynamic Support and Resistance Detection
The indicator uses an adaptive algorithm to identify significant support and resistance levels based on recent market highs and lows. Unlike static levels, these zones adjust dynamically to market volatility using the Average True Range (ATR), ensuring the levels remain relevant across different market conditions.
Vitality Field Background
The indicator features a unique vitality field that provides instant visual feedback about market sentiment:
Green zones: Bullish market conditions with strong momentum
Red zones: Bearish market conditions with weak momentum
Gray zones: Neutral/sideways market conditions
The vitality field uses a sophisticated gradient system that fades from the center outward, creating a clean, professional appearance that doesn't overwhelm the chart while providing valuable context.
Buy Signals (🚀 BUY)
Buy signals are generated when ALL of the following conditions are met:
Valid support level with confluence score ≥ 80
Bullish momentum divergence detected (RSI or MACD)
Volume confirmation (1.5x average volume + 25% volume ROC)
Bull market regime environment
RSI below 35 (oversold conditions)
Price action confirmation (Wyckoff accumulation, liquidity sweep, or large buying volume)
Minimum trend strength (ADX > 25)
Signal alternation check (prevents consecutive buy signals)
Cooldown period expired (default 10 bars)
Sell Signals (🔻 SELL)
Sell signals are generated when ALL of the following conditions are met:
Valid resistance level with confluence score ≥ 80
Bearish momentum divergence detected (RSI or MACD)
Volume confirmation (1.5x average volume + 25% volume ROC)
Bear market regime environment
RSI above 65 (overbought conditions)
Price action confirmation (Wyckoff distribution, liquidity sweep, or large selling volume)
Minimum trend strength (ADX > 25)
Signal alternation check (prevents consecutive sell signals)
Cooldown period expired (default 10 bars)
How to Use the Indicator
1. Signal Quality Assessment
Monitor the confluence scores in the information table:
Score 90-100: Exceptional quality levels (A+ grade)
Score 80-89: High quality levels (A grade)
Score 70-79: Good quality levels (B grade)
Score below 70: Weak levels (filtered out by default)
2. Market Context Analysis
Use the vitality field and market regime information to understand the broader market context:
Trade buy signals in green vitality zones during bull regimes
Trade sell signals in red vitality zones during bear regimes
Exercise caution in gray zones (sideways markets)
3. Entry and Exit Strategy
For Buy Signals:
Enter long positions when premium buy signals appear
Place stop loss below the support confluence zone
Target the next resistance level or use a risk/reward ratio of 2:1 or higher
For Sell Signals:
Enter short positions when premium sell signals appear
Place stop loss above the resistance confluence zone
Target the next support level or use a risk/reward ratio of 2:1 or higher
4. Risk Management
Only trade signals with confluence scores above 80
Respect the signal alternation system (no overtrading)
Use appropriate position sizing based on signal quality
Consider the overall market regime before taking trades
Customizable Settings
Signal Generation Controls
Signal Filtering: Enable/disable advanced filtering
Confluence Threshold: Adjust minimum score requirement (70-95)
Cooldown Period: Set bars between signals (5-50)
Volume/Momentum Requirements: Toggle confirmation requirements
Trend Strength: Minimum ADX requirement (15-40)
Vitality Field Options
Enable/Disable: Control background field display
Transparency Settings: Adjust opacity for center and edges
Field Size: Control the field boundaries (3.0-20.0)
Color Customization: Set custom colors for bullish/bearish/neutral states
Weight Adjustments
Divergence Weight: Adjust momentum component influence (10-40%)
Volume Weight: Adjust volume component influence (10-40%)
Price Action Weight: Adjust price action component influence (10-40%)
Sentiment Weight: Adjust sentiment component influence (10-40%)
Best Practices
Always wait for complete signal confirmation before entering trades
Use higher timeframes for signal validation and context
Combine with proper risk management and position sizing
Monitor the information table for real-time market analysis
Pay attention to volume confirmation for higher probability trades
Respect market regime alignment for optimal results
Basic Settings
Base Length (Default: 25)
Controls the lookback period for identifying support and resistance levels
Range: 5-100 bars
Lower values = More responsive, shorter-term levels
Higher values = More stable, longer-term levels
Recommendation: 25 for intraday, 50 for swing trading
Enable Adaptive Length (Default: True)
Automatically adjusts the base length based on market volatility
When enabled, length increases in volatile markets and decreases in calm markets
Helps maintain relevant levels across different market conditions
Volatility Factor (Default: 1.5)
Controls how much the adaptive length responds to volatility changes
Range: 0.5-3.0
Higher values = More aggressive length adjustments
Lower values = More conservative length adjustments
Volume Profile Settings
VWAP Length (Default: 200)
Sets the calculation period for the Volume Weighted Average Price
Range: 50-500 bars
Shorter periods = More responsive to recent price action
Longer periods = More stable reference line
Used for volume profile analysis and confluence scoring
Volume MA Length (Default: 50)
Period for calculating the volume moving average baseline
Range: 10-200 bars
Used to determine relative volume (current volume vs. average)
Shorter periods = More sensitive to volume changes
Longer periods = More stable volume baseline
High Volume Node Threshold (Default: 1.5)
Multiplier for identifying significant volume spikes
Range: 1.0-3.0
Values above this threshold mark high-volume nodes with diamond shapes
Lower values = More frequent high-volume signals
Higher values = Only extreme volume events marked
Momentum Divergence Settings
Enable Divergence Detection (Default: True)
Master switch for momentum divergence analysis
When disabled, removes divergence from confluence scoring
Significantly impacts signal generation quality
RSI Length (Default: 14)
Period for RSI calculation used in divergence detection
Range: 5-50
Standard RSI settings apply (14 is most common)
Shorter periods = More sensitive, more signals
Longer periods = Smoother, fewer but more reliable signals
MACD Settings
Fast (Default: 12): Fast EMA period for MACD calculation (5-50)
Slow (Default: 26): Slow EMA period for MACD calculation (10-100)
Signal (Default: 9): Signal line EMA period (3-20)
Standard MACD settings for divergence detection
Divergence Lookback (Default: 5)
Number of bars to look back when detecting divergences
Range: 3-20
Shorter periods = More frequent divergence signals
Longer periods = More significant divergence signals
Volume Analysis Enhancement Settings
Enable Advanced Volume Analysis (Default: True)
Master control for sophisticated volume calculations
Includes CVD, volume ROC, and large trade detection
Critical for signal accuracy
Cumulative Volume Delta Length (Default: 20)
Period for CVD smoothing calculation
Range: 10-100
Tracks buying vs. selling pressure over time
Shorter periods = More reactive to recent flows
Longer periods = Broader trend perspective
Volume ROC Length (Default: 10)
Period for Volume Rate of Change calculation
Range: 5-50
Measures volume acceleration/deceleration
Key component in volume confirmation requirements
Large Trade Volume Threshold (Default: 2.0)
Multiplier for identifying institutional-size trades
Range: 1.5-5.0
Trades above this threshold marked as large trades
Lower values = More frequent large trade signals
Higher values = Only extreme institutional activity
Advanced Price Action Settings
Enable Wyckoff Analysis (Default: True)
Activates simplified Wyckoff accumulation/distribution detection
Identifies potential smart money positioning
Important for high-quality signal generation
Enable Supply/Demand Zones (Default: True)
Identifies fresh supply and demand zones
Tracks zone strength based on subsequent price action
Enhances confluence scoring accuracy
Enable Liquidity Analysis (Default: True)
Detects liquidity sweeps and stop hunts
Identifies fake breakouts vs. genuine moves
Critical for avoiding false signals
Zone Strength Period (Default: 20)
Bars used to assess supply/demand zone strength
Range: 10-50
Longer periods = More thorough zone validation
Shorter periods = Faster zone assessment
Liquidity Sweep Threshold (Default: 0.5%)
Percentage move required to confirm liquidity sweep
Range: 0.1-2.0%
Lower values = More sensitive sweep detection
Higher values = Only significant sweeps detected
Sentiment and Flow Settings
Enable Sentiment Analysis (Default: True)
Master control for market sentiment calculations
Includes fear/greed index and regime classification
Important for market context assessment
Fear/Greed Period (Default: 20)
Calculation period for market sentiment indicator
Range: 10-50
Based on price volatility and momentum
Shorter periods = More reactive sentiment readings
Momentum Regime Length (Default: 50)
Period for determining overall market regime
Range: 20-100
Classifies market as Bull/Bear/Sideways
Longer periods = More stable regime classification
Trend Strength Length (Default: 30)
Period for ADX-like trend strength calculation
Range: 10-100
Measures directional momentum intensity
Used in signal filtering requirements
Advanced Signal Generation Settings
Enable Signal Filtering (Default: True)
Master control for premium signal generation system
When disabled, uses basic signal conditions
Highly recommended to keep enabled
Minimum Signal Confluence Score (Default: 80)
Required confluence score for signal generation
Range: 70-95
Higher values = Fewer but higher quality signals
Lower values = More frequent but potentially lower quality signals
Signal Cooldown (Default: 10 bars)
Minimum bars between signals of same type
Range: 5-50
Prevents signal spam and overtrading
Higher values = More conservative signal spacing
Require Volume Confirmation (Default: True)
Mandates volume requirements for signal generation
Requires 1.5x average volume + 25% volume ROC
Critical for signal quality
Require Momentum Confirmation (Default: True)
Mandates divergence detection for signals
Ensures momentum backing for directional moves
Essential for high-probability setups
Minimum Trend Strength (Default: 25)
Required ADX level for signal generation
Range: 15-40
Ensures signals occur in trending markets
Higher values = Only strong trending conditions
Confluence Scoring Settings
Minimum Confluence Score (Default: 70)
Threshold for displaying support/resistance levels
Range: 50-90
Levels below this score are filtered out
Higher values = Only strongest levels shown
Component Weights (Default: 25% each)
Divergence Weight: Momentum component influence (10-40%)
Volume Weight: Volume analysis influence (10-40%)
Price Action Weight: Price patterns influence (10-40%)
Sentiment Weight: Market sentiment influence (10-40%)
Must total 100% for balanced scoring
Vitality Field Settings
Enable Vitality Field (Default: True)
Controls the background gradient field display
Provides instant visual market sentiment feedback
Enhances chart readability and context
Vitality Center Transparency (Default: 85%)
Opacity at the center of the vitality field
Range: 70-95%
Lower values = More opaque center
Higher values = More transparent center
Vitality Edge Transparency (Default: 98%)
Opacity at the edges of the vitality field
Range: 95-99%
Creates smooth fade effect from center to edges
Higher values = More subtle edge appearance
Vitality Field Size (Default: 8.0)
Controls the overall size of the vitality field
Range: 3.0-20.0
Based on ATR multiples for dynamic sizing
Lower values = Tighter field around price
Higher values = Broader field coverage
Recommended Settings by Trading Style
Scalping (1-5 minutes)
Base Length: 15
Volume MA Length: 20
Signal Cooldown: 5 bars
Vitality Field Size: 5.0
Higher sensitivity for quick moves
Day Trading (15-60 minutes)
Base Length: 25 (default)
Volume MA Length: 50 (default)
Signal Cooldown: 10 bars (default)
Vitality Field Size: 8.0 (default)
Balanced settings for intraday moves
Swing Trading (4H-Daily)
Base Length: 50
Volume MA Length: 100
Signal Cooldown: 20 bars
Vitality Field Size: 12.0
Longer-term perspective for multi-day moves
Conservative Trading
Minimum Signal Confluence: 85
Minimum Confluence Score: 80
Require all confirmations: True
Higher thresholds for maximum quality
Aggressive Trading
Minimum Signal Confluence: 75
Minimum Confluence Score: 65
Signal Cooldown: 5 bars
Lower thresholds for more opportunities
Signalgo S/RSignalgo S/R
Signalgo S/R is a cutting-edge TradingView indicator engineered for traders who want to leverage support and resistance (S/R) in a way that goes far beyond traditional methods. This overview will help you understand its unique approach, inputs, entry and exit strategies, and what truly sets it apart.
How Signalgo S/R Works
Multi-Timeframe S/R Detection
Layered Analysis: Signalgo S/R continuously scans price action across a wide spectrum of timeframes, from 1 minute up to 3 months. This multi-layered approach ensures that both short-term and long-term S/R levels are dynamically tracked and updated.
Advanced Pivot Recognition: Instead of simply plotting static lines, the indicator uses a sophisticated pivot recognition system to identify only the most relevant and recent S/R levels, adapting as the market evolves.
Synchronized Structure: By aligning S/R levels across timeframes, it builds a robust market structure that highlights truly significant zones—areas where price is most likely to react.
Intelligent Breakout & Reversal Signals
Close Confirmation: The indicator only triggers a breakout or breakdown signal when price not just touches, but closes beyond a key S/R level, dramatically reducing false signals.
Multi-Timeframe Confirmation: True buy or sell signals require agreement across several timeframes, filtering out noise and improving reliability.
One-Time Event Detection: Each breakout or breakdown is recognized only once per occurrence, eliminating repetitive signals from the same event.
Inputs & User Controls
Preset Parameters:
Pivot Length: Adjusts how sensitive the S/R detection is to price swings.
Label Offset: Fine-tunes the placement of visual labels for clarity.
Trade Management Controls:
Show TP/SL Logic: Toggle to display or hide take-profit (TP) and stop-loss (SL) levels.
ATR Length & Multipliers: Adapt SL and TP distances to current volatility.
Enable Trailing Stop: Option to activate dynamic stop movement after TP1 is reached.
Entry & Exit Strategy
Entry Logic
Long (Buy) Entry: Triggered when multiple timeframes confirm a breakout above resistance, signaling strong upward momentum.
Short (Sell) Entry: Triggered when multiple timeframes confirm a breakdown below support, indicating strong downward momentum.
Exit & Trade Management
Stop Loss (SL): Automatically set based on recent volatility, always adapting to current market conditions.
Take Profits (TP1, TP2, TP3): Three profit targets are set at increasing reward multiples, allowing for partial exits or scaling out.
Trailing Stop: After the first profit target is reached, the stop loss moves to breakeven and a trailing stop is activated, locking in gains as the trade continues.
Event Markers: Each time a TP or SL is hit, a visual label is placed on the chart for full transparency.
What Separates Signalgo S/R from Traditional S/R Indicators?
True Multi-Timeframe Synchronization: Most S/R tools only look at a single timeframe or plot static levels. Signalgo S/R dynamically aligns levels across all relevant timeframes, providing a comprehensive market map.
Event-Driven, Not Static: Instead of plotting every minor swing, it intelligently filters for only the most actionable S/R levels and signals—reducing chart clutter and focusing attention on what matters.
Breakout Confirmation Logic: Requires a close beyond S/R, not just a wick, to validate breakouts or breakdowns. This greatly reduces false positives.
Automated, Adaptive Trade Management: Built-in TP/SL and trailing logic mean you get not just signals, but a full trade management suite—something rarely found in standard S/R indicators.
Visual & Alert Integration: Every signal, TP/SL event, and trailing stop is visually marked and can trigger TradingView alerts, keeping you informed in real time.
Trading Strategy Application
Scalping to Swing Trading: The multi-timeframe logic makes it suitable for all trading styles, from fast intraday moves to longer-term position trades.
Systematic, Disciplined Execution: By automating entries, exits, and risk management, Signalgo S/R helps you trade with confidence and consistency, removing emotion from the process.
Noise Reduction: The advanced filtering logic means you only see the highest-probability setups, helping you avoid common S/R “fakeouts.”
