Trend + Squeeze High VolatilityGood for High Volatility Stocks and Options
Trend and Squeeze High Volatility
Good For High Volatility Stocks and Options
M-oscillator
Trend + Squeeze with Fast Flexible Transition ESGood for ES.
Trend and Squeeze with Fast Flexible Transition
Good for ES.
Katz Calypso Indicator (Refactored)Overview
The Katz Calypso Indicator is a comprehensive momentum oscillator designed to identify potential entry and exit points in the market. At its core, it uses the True Strength Index (TSI) to gauge the strength and direction of a trend. To enhance signal accuracy and reduce false positives, the indicator integrates several optional filters, including the Waddah Attar Explosion, an EMA filter, and an ATR filter. It also provides an optional RVGI-based exit signal system.
This tool is designed to provide a clear, visual representation of market momentum, with customizable filters to adapt to various trading styles and market conditions.
How to Use the Indicator
The indicator is displayed in a separate pane below the main price chart.
TSI Line (Blue): This is the main oscillator line. Its position relative to the zero line indicates the overall trend bias (above 0 is bullish, below is bearish).
Signal Line (Red): A moving average of the TSI line. Crossovers between the TSI and Signal Line are the primary triggers for trade signals.
Zero Line: The centerline of the oscillator. A cross of the Zero Line can indicate a significant shift in momentum.
Overbought/Oversold Levels: These user-defined levels (defaulting to 65 and -65) help identify potential exhaustion points in a trend, which can be used for taking profits.
On-Chart Signals: The indicator plots shapes directly on the chart to make signals easy to spot:
Green Triangles (Up): Indicate long entry or continuation signals.
Red Triangles (Down): Indicate short entry or continuation signals.
Yellow Triangles: Suggest taking profits.
Maroon/Lime Triangles: Indicate an exit based on a signal cross (like RVGI or the Zero Line).
Trading Rules
Long Trade Rules
Entry: A long trade is signaled when ALL of the following conditions are met:
The blue TSI Line crosses above the red Signal Line.
The blue TSI Line is above the 0 Zero Line.
All enabled filters (Waddah Attar, EMA, ATR) confirm bullish conditions.
A green triangle labeled "Long" will appear below the price.
Exit (Take Profit): A take-profit signal for a long trade is generated when either of these occurs:
The TSI Line crosses below the Overbought level.
The TSI Line crosses back below the Signal Line while still above zero.
A yellow triangle labeled "TPL" (Take Profit Long) will appear above the price.
Exit (Stop/Reverse): A signal to exit a long trade is generated when either of these occurs:
The TSI Line crosses below the 0 Zero Line.
The RVGI Exit filter is enabled and generates a bearish crossover signal.
A maroon triangle labeled "Exit Long" will appear above the price.
Short Trade Rules
Entry: A short trade is signaled when ALL of the following conditions are met:
The blue TSI Line crosses below the red Signal Line.
The blue TSI Line is below the 0 Zero Line.
All enabled filters (Waddah Attar, EMA, ATR) confirm bearish conditions.
A red triangle labeled "Short" will appear above the price.
Exit (Take Profit): A take-profit signal for a short trade is generated when either of these occurs:
The TSI Line crosses above the Oversold level.
The TSI Line crosses back above the Signal Line while still below zero.
A yellow triangle labeled "TPS" (Take Profit Short) will appear below the price.
Exit (Stop/Reverse): A signal to exit a short trade is generated when either of these occurs:
The TSI Line crosses above the 0 Zero Line.
The RVGI Exit filter is enabled and generates a bullish crossover signal.
A lime green triangle labeled "Exit Short" will appear below the price.
Optional Filters
You can enable or disable these filters in the indicator's settings to fine-tune its sensitivity.
Waddah Attar Explosion Filter: This filter measures trend strength and volatility. When enabled, it ensures that entries are only taken during periods of strong, confirmed momentum, helping to avoid sideways or choppy markets.
EMA Price Filter: A classic trend filter. When enabled, it will only allow long entries if the price is above the specified Exponential Moving Average and short entries only if the price is below it.
ATR Filter: This acts as a volatility-based filter to prevent chasing a move. It helps ensure that you are not entering a long trade when the price has already moved too far above its EMA, or vice-versa for a short trade.
RVGI Exit Filter: The Relative Vigor Index (RVGI) is used here exclusively as an exit signal. When enabled, a crossover of the RVGI and its signal line can provide an earlier exit signal before the TSI crosses the zero line, potentially locking in profits sooner.
Disclaimer: This indicator is provided for educational and informational purposes only. It is not financial advice. Trading carries a high level of risk, and you can lose more than your initial investment. You should use this indicator at your own risk and discretion. Always conduct your own research and consider your risk tolerance before making any trading decisions.
Simplified Wave Trend Overbought/OversoldThis is just a variation of the popular wave trend that I find to be nicer to look at.
BioSwarm Imprinter™BioSwarm Imprinter™ — Agent-Based Consensus for Traders
What it is
BioSwarm Imprinter™ is a non-repainting, agent-based sentiment oscillator. It fuses many short-to-medium lookback “opinions” into one 0–100 consensus line that is easy to read at a glance (50 = neutral, >55 bullish bias, <45 bearish bias). The engine borrows from swarm intelligence: many simple voters (agents) adapt their influence over time based on how well they’ve been predicting price, so the crowd gets smarter as conditions change.
Use it to:
• Detect emerging trends sooner without overreacting to noise.
• Filter mean-reversion vs continuation opportunities.
• Gate entries with a confidence score that reflects both strength and persistence of the move.
• Combine with your execution tools (VWAP/ORB/levels) as a state filter rather than a trade signal by itself.
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Why it’s different
• Swarm learning: Each agent improves or decays its “fitness” depending on whether its vote matched the next bar’s direction. High-fitness agents matter more; weak agents fade.
• Multi-horizon by design: The crowd is composed of fixed, simple lookbacks spread from lenMin to lenMax. You get a blended, robust view instead of a single fragile parameter.
• Two complementary lenses: Each agent evaluates RSI-style balance (via Wilder’s RMA) and momentum (EMA deviation). You decide the weight of each.
• No repaint, no MTF pitfalls: Everything runs on the chart’s timeframe with bar-close confirmation; no request.security() or forward references.
• Actionable UI: A clean consensus line, optional regime background, confidence heat, and triangle markers when thresholds are crossed.
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What you see on the chart
• Consensus line (0–100): Smoothed to your preference; color/area makes bull/bear zones obvious.
• Regime coloring (optional): Light green in bull zone, light red in bear zone; neutral otherwise.
• Confidence heat: A small gauge/number (0–100) that combines distance from neutral and recent persistence.
• Markers (optional): Triangles when consensus crosses up through your bull threshold (e.g., 55) or down through your bear threshold (e.g., 45).
• Info panel (optional): Consensus value, regime, confidence, number of agents, and basic diagnostics.
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How it works (under the hood)
1. Horizon bins: The range is divided into numBins. Each bin has a fixed, simple integer length (crucial for Pine’s safety rules).
2. Per-bin features (computed every bar):
• RSI-style balance using Wilder’s RMA (not ta.rsi()), then mapped to −1…+1.
• Momentum as (close − EMA(L)) / EMA(L) (dimensionless drift).
3. Agent vote: For its assigned bin, an agent forms a weighted score: score = wRSI*RSI_like + wMOM*Momentum. A small dead-band near zero suppresses chop; votes are +1/−1/0.
4. Fitness update (bar close): If the agent’s previous vote agreed with the next bar’s direction, multiply its fitness by learnGain; otherwise by learnPain. Fitness is clamped so it never explodes or dies.
5. Consensus: Weighted average of all votes using fitness as weights → map to 0–100 and smooth with EMA.
Why it doesn’t repaint:
• No future references, no MTF resampling, fitness updates only on confirmed bars.
• All TA primitives (RMA/EMA/deltas) are computed every bar unconditionally.
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Signals & confidence
• Bullish bias: consensus ≥ bullThr (e.g., 55).
• Bearish bias: consensus ≤ bearThr (e.g., 45).
• Confidence (0–100):
• Distance score: how far consensus is from 50.
• Momentum score: how strong the recent change is versus its recent average.
• Combined into a single gate; start filtering entries at ≥60 for higher quality.
Tip: For range sessions, raise thresholds (60/40) and increase smoothing; for momentum sessions, lower smoothing and keep thresholds at 55/45.
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Inputs you’ll actually tune
• Agents & horizons:
• N_agents (e.g., 64–128)
• lenMin / lenMax (e.g., 6–30 intraday, 10–60 swing)
• numBins (e.g., 12–24)
• Weights & smoothing:
• wRSI vs wMOM (e.g., 0.7/0.3 for FX & indices; 0.6/0.4 for crypto)
• deadBand (0.03–0.08)
• consSmooth (3–8)
• Thresholds & hygiene:
• bullThr/bearThr (55/45 default)
• cooldownBars to avoid signal spam
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Playbooks (ready-to-use)
1) Breakout / Trend continuation
• Timeframe: 15m–1h for day/swing.
• Filter: Take longs only when consensus > 55 and confidence ≥ 60.
• Execution: Use your ORB/VWAP/pullback trigger for entry. Trail with swing lows or 1.5×ATR. Exit on a close back under 50 or when a bearish signal prints.
2) Mean reversion (fade)
• When: Sideways days or low-volatility clusters.
• Setup: Increase deadBand and consSmooth.
• Signal: Bearish fades when consensus rolls over below ≈55 but stays above 50; bullish fades when it rolls up above ≈45 but stays below 50.
• Targets: The neutral zone (~50) as the first take-profit.
3) Multi-TF alignment
• Keep BioSwarm on 1H for bias, execute on 5–15m:
• Only take entries in the direction of the 1H consensus.
• Skip counter-bias scalps unless confidence is very low (explicit mean-reversion plan).
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Integrations that work
• DynamoSent Pro+ (macro bias): Only act when macro bias and swarm consensus agree.
• ORB + Session VWAP Pro: Trade London/NY ORB breakouts that retest while consensus >55 (long) or <45 (short).
• Levels/Orderflow: BioSwarm is your “go / no-go”; execution stays with your usual triggers.
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Quick start
1. Drop the indicator on a 1H chart.
2. Start with: N_agents=64, lenMin=6, lenMax=30, numBins=16, deadBand=0.06, consSmooth=5, thresholds 55/45.
3. Trade only when confidence ≥ 60.
4. Add your favorite execution tool (VWAP/levels/OR) for entries & exits.
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Non-repainting & safety notes
• No request.security(); no hidden lookahead.
• Bar-close confirmation for fitness and signals.
• All TA calls are unconditional (no “sometimes called” warnings).
• No series-length inputs to RSI/EMA — we use RMA/EMA formulas that accept fixed simple ints per bin.
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Known limits & tips
• Too many signals? Raise deadBand, increase consSmooth, widen thresholds to 60/40.
• Too few signals? Lower deadBand, reduce consSmooth, narrow thresholds to 53/47.
• Over-fitting risk: Keep learnGain/learnPain modest (e.g., ×1.04 / ×0.96).
• Compute load: Large N_agents × numBins is heavier; scale to your device.
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Example recipes
EURUSD 1H (swing):
lenMin=8, lenMax=34, numBins=16, wRSI=0.7, wMOM=0.3, deadBand=0.06, consSmooth=6, thr=55/45
Buy breakouts when consensus >55 and confidence ≥60; confirm with 5–15m pullback to VWAP or level.
SPY 15m (US session):
lenMin=6, lenMax=24, numBins=12, consSmooth=4, deadBand=0.05
On trend days, stay with longs as long as consensus >55; add on shallow pullbacks.
BTC 1H (24/7):
Increase momentum weight: wRSI=0.6, wMOM=0.4, extend lenMax to ~50. Use dynamic stops (ATR) and partials on strong verticals.
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Final word
BioSwarm is a state engine: it tells you when the market is primed to continue or mean-revert. Pair it with your entries and risk framework to turn that state into trades. If you’d like, I can supply a companion strategy template that consumes the consensus and back-tests the three playbooks (Breakout/Fade/Flip) with standard risk management.
Fear Greed zones and Money Waves FusedThis indicator, named "Fear Greed zones and Money Waves" combines a smoothed Money Flow Index (MFI)-based wave and the Relative Strength Index (RSI) to visualize market sentiment through fear and greed zones and generate buy/sell signals.
Core Functions
- It calculates a zero-centered and smoothed version of the MFI (MoneyWave) using configurable smoothing methods (SMA, EMA, RMA) with parameters for length and smoothing intensity.
- It uses RSI to define fear and greed zones based on user-defined thresholds (e.g., RSI below 30 indicates fear, above 70 indicates greed).
- The MoneyWave area is color-coded based on these fear/greed RSI zones: dark green for fear, dark red for greed, and yellow neutral.
- The edge line of the MoneyWave shows bullish (lime) when above zero and bearish (red) when below zero.
Visual Elements
- Plots the MoneyWave as a colored area with an edge line.
- Displays horizontal lines representing the zero line and upper/lower bounds derived from MFI thresholds.
- Optionally shows direction change arrows when the MoneyWave sign changes and labels indicating BUY or SELL signals based on MoneyWave crossing zero combined with fear/greed conditions.
Trading Signals and Alerts
- Buy signal triggers when MoneyWave crosses upward through zero while in the fear zone (RSI low).
- Sell signal triggers when MoneyWave crosses downward through zero while in the greed zone (RSI high).
- Alerts can be generated for these buy/sell events.
In summary, this indicator provides a combined measure of money flow momentum (MoneyWave) with market sentiment zones (fear and greed from RSI), helping identify potential market entry and exit points with visual markers and alerts .
DynamoSent DynamoSent Pro+ — Professional Listing (Preview)
— Adaptive Macro Sentiment (v6)
— Export, Adaptive Lookback, Confidence, Boxes, Heatmap + Dynamic OB/OS
Preview / Experimental build. I’m actively refining this tool—your feedback is gold.
If you spot edge cases, want new presets, or have market-specific ideas, please comment or DM me on TradingView.
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What it is
DynamoSent Pro+ is an adaptive, non-repainting macro sentiment engine that compresses VIX, DXY and a price-based activity proxy (e.g., SPX/sector ETF/your symbol) into a 0–100 sentiment line. It scales context by volatility (ATR%) and can self-calibrate with rolling quantile OB/OS. On top of that, it adds confidence scoring, a plain-English Context Coach, MTF agreement, exportable sentiment for other indicators, and a clean Light/Dark UI.
Why it’s different
• Adaptive lookback tracks regime changes: when volatility rises, we lengthen context; when it falls, we shorten—less whipsaw, more relevance.
• Dynamic OB/OS (quantiles) self-calibrates to each instrument’s distribution—no arbitrary 30/70 lines.
• MTF agreement + Confidence gate reduce false positives by highlighting alignment across timeframes.
• Exportable output: hidden plot “DynamoSent Export” can be selected as input.source in your other Pine scripts.
• Non-repainting rigor: all request.security() calls use lookahead_off + gaps_on; signals wait for bar close.
Key visuals
• Sentiment line (0–100), OB/OS zones (static or dynamic), optional TF1/TF2 overlays.
• Regime boxes (Overbought / Oversold / Neutral) that update live without repaint.
• Info Panel with confidence heat, regime, trend arrow, MTF readout, and Coach sentence.
• Session heat (Asia/EU/US) to match intraday behavior.
• Light/Dark theme switch in Inputs (auto-contrasted labels & headers).
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How to use (examples & recipes)
1) EURUSD (swing / intraday blend)
• Preset: EURUSD 1H Swing
• Chart: 1H; TF1=1H, TF2=4H (default).
• Proxies: Defaults work (VIX=D, DXY=60, Proxy=D).
• Dynamic OB/OS: ON at 20/80; Confidence ≥ 55–60.
• Playbook:
• When sentiment crosses above 50 + margin with Δ ≥ signalK and MTF agreement ≥ 0.5, treat as trend breakout.
• In Oversold with rising Coach & TF agreement, take fade longs back toward mid-range.
• Alerts: Enable Breakout Long/Short and Fade; keep cooldown 8–12 bars.
2) SPY (daytrading)
• Preset: SPY 15m Daytrade; Chart: 15m.
• VIX (D) matters more; preset weights already favor it.
• Start with static 30/70; later try dynamic 25/75 for adaptive thresholds.
• Use Coach: in US session, when it says “Overbought + MTF agree → sell rallies / chase breakouts”, lean momentum-continuation after pullbacks.
3) BTCUSD (crypto, 24/7)
• Preset: BTCUSD 1H; Chart: 1H.
• DXY and BTC.D inform macro tone; keep Carry-forward ON to bridge sparse ticks.
• Prefer Dynamic OB/OS (15/85) for wider swings.
• Fade signals on weekend chop; Breakout when Confidence > 60 and MTF ≥ 1.0.
4) XAUUSD (gold, macro blend)
• Preset: XAUUSD 4H; Chart: 4H.
• Weights tilt to DXY and US10Y (handled by preset).
• Coach + MTF helps separate trend legs from news pops.
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Best practices
• Theme: Switch Light/Dark in Inputs; the panel adapts contrast automatically.
• Export: In another script → Source → DynamoSent Pro+ → DynamoSent Export. Build your own filters/strategies atop the same sentiment.
• Dynamic vs Static OB/OS:
• Static 30/70: fast, universal baseline.
• Dynamic (quantiles): instrument-aware; use 20/80 (default) or 15/85 for choppy markets.
• Confidence gate: Start at 50–60% to filter noise; raise when you want only A-grade setups.
• Adaptive Lookback: Keep ON. For ultra-liquid indices, you can switch it OFF and set a fixed lookback.
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Non-repainting & safety notes
• All request.security() calls use lookahead=barmerge.lookahead_off and gaps=barmerge.gaps_on.
• No forward references; signals & regime flips are confirmed on bar close.
• History-dependent funcs (ta.change, ta.percentile_linear_interpolation, etc.) are computed each bar (not conditionally).
• Adaptive lookback is clamped ≥ 1 to avoid lowest/highest errors.
• Missing-data warning triggers only when all proxies are NA for a streak; carry-forward can bridge small gaps without repaint.
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Known limits & tips
• If a proxy symbol isn’t available on your plan/exchange, you’ll see the NA warning: choose a different symbol via Symbol Search, or keep Carry-forward ON (it defaults to neutral where needed).
• Intraday VIX is sparse—using Daily is intentional.
• Dynamic OB/OS needs enough history (see dynLenFloor). On short histories it gracefully falls back to static levels.
Thanks for trying the preview. Your comments drive the roadmap—presets, new proxies, extra alerts, and integrations.
ARO Pro — Adaptive Regime OscillatorARO Pro — Adaptive Regime Oscillator (v6)
ARO Pro turns your chart into a context-aware decision system. It classifies every bar as Trending (up or down) or Ranging in real time, then switches its math to match the regime: trend strength is measured with an ATR-normalized EMA spread, while range behavior is tracked with a center-based RSI oscillator. The result is cleaner entries, fewer false signals, and faster reads on regime shifts—without repainting.
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How it works (under the hood)
1. Regime Detection (Kaufman ER):
ARO computes Kaufman’s Efficiency Ratio (ER) over a user-defined length.
- ER > threshold → Trending (direction from EMA fast vs. EMA slow)
- ER ≤ threshold → Ranging
2. Adaptive Oscillator Core:
- Trend mode: (EMA(fast) − EMA(slow)) / ATR * 100 → momentum normalized by volatility.
- Range mode: RSI(length) − 50 → mean-reversion pressure around zero.
3. Volatility Filter (optional):
Blocks signals if ATR as % of price is below a floor you set. This reduces noise in thin or quiet markets.
4. MTF Trend Filter (optional & non-repainting):
Confirms signals only if a higher timeframe EMA(fast) > EMA(slow) for longs (or < for shorts). Implemented with lookahead_off and gaps_on.
5. Confirmation & Alerts:
Signals are locked only on bar close (barstate.isconfirmed) and offered via three alert types: ARO Long, ARO Short, ARO Regime Shift.
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What you see on the chart
• Background heat:
• Green = Trending Up, Red = Trending Down, Gray = Range.
• ARO line (panel): Adaptive oscillator (trend/value colors).
• Signal markers: ▲ Long / ▼ Short on confirmed bars.
• Guide lines: Upper/Lower thresholds (±K) and zero line.
• Info Panel (table): Regime, ER, ATR %, ARO, HTF status (OK/BLOCK/OFF), and a Confidence light.
• Debug Overlay (optional): Quick view of thresholds and raw conditions for tuning.
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Inputs (quick reference)
• Signals: Fast/Slow EMA, RSI length, ER length & threshold, oscillator smoothing, signal threshold.
• Filters: ATR length, minimum ATR% (volatility floor), toggle for volatility filter.
• Visuals: Background on/off, Info Panel on/off, Debug overlay on/off.
• MTF (safe): Toggle + HTF timeframe (e.g., 240, D, W).
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Interpreting signals
• Long: Trend regime AND fast EMA > slow EMA AND ARO ≥ +threshold (confirmed bar, filters passing).
• Short: Trend regime AND fast EMA < slow EMA AND ARO ≤ −threshold (confirmed bar, filters passing).
• Regime Shift: Alert when ER moves the market from Range → Trend or flips trend direction.
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Practical use cases & examples
1) Intraday momentum alignment (scalps to day trades)
• Timeframes: 5–15m with HTF filter = 4H.
• Flow:
1. Wait for Trend Up background + HTF OK.
2. Enter on ▲ Long when ARO crosses above +threshold.
3. Stops: 1–1.5× ATR(14) below trigger bar or below last micro swing.
4. Exits: Partial at 1× ATR, trail remainder with an ATR stop or when ARO reverts to zero/Regime Shift.
• Why it works: You’re trading with the dominant higher-timeframe structure while avoiding low-volatility fakeouts.
2) Swing trend following (cleaner trend legs)
• Timeframes: 1H–4H with HTF filter = 1D.
• Flow:
1. Only act in Trend background aligned with HTF.
2. Add on subsequent ▲ signals as ARO maintains positive (or negative) territory.
3. Reduce or exit on Regime Shift (Trend → Range or direction flip) or when ARO crosses back through zero.
• Stops/targets: Initial 1.5–2× ATR; move to breakeven once the trade gains 1× ATR; trail with a multiple-ATR or structure lows/highs.
3) Range tactics (fade the extremes)
• Timeframes: 15m–1H or 1D on mean-reverting names.
• Flow:
1. Act only when background = Range.
2. Fade moves when ARO swings from ±extremes back toward zero near well-defined S/R.
3. Exit at the opposite band or zero line; abort if a Regime Shift to Trend occurs.
• Tip: Increase ER threshold (e.g., 0.35–0.40) to label more bars as Range on choppy instruments.
4) Event days & macro filters
• Approach: Raise the volatility floor (Min ATR%) on macro days (FOMC, CPI).
• Effect: You’ll ignore “fake” micro swings in the minutes leading up to releases and catch only post-event confirmed momentum.
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Parameter tuning guide
• ER Threshold:
• Lower (0.20–0.30) = more Trend bars, more signals, higher noise.
• Higher (0.35–0.45) = stricter trend confirmation, fewer but cleaner signals.
• Signal Threshold (±K):
• Raise to reduce whipsaws; lower for earlier but noisier triggers.
• Volatility Floor (ATR%):
• Thin/quiet assets benefit from a higher floor (e.g., 0.3–0.6).
• Highly liquid futures/forex can work with lower floors.
• HTF Filter:
• Keep it ON when you want higher win consistency; turn OFF for tactical counter-trend plays.
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Alerts (recommended setup)
• “ARO Long” / “ARO Short”: Entry-style alerts on confirmed signals.
• “ARO Regime Shift”: Context alert to scale in/out or switch playbooks (trend vs. range).
All alerts are non-repainting and fire only when the bar closes.
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Best practices & combinations
• Price action & S/R: Use ARO to define when to engage, and price structure to define where (breakout levels, pullback zones).
• VWAP/Session tools: In intraday trends, ▲ signals above VWAP tend to carry; avoid shorts below session VWAP in strong downtrends.
• Risk first: Size by ATR; never let a single ARO event override your max risk per trade.
• Portfolio filter: On indices/ETFs, enable HTF filter and a stricter ER threshold to ride regime legs.
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Non-repaint and implementation notes
• The script does not repaint:
• Signals are computed and locked on bar close (barstate.isconfirmed).
• All higher-timeframe data uses request.security(..., lookahead_off, gaps_on).
• No future indexing or negative offsets are used.
• The Info Panel and Debug overlay are purely visual aids and do not change signal logic.
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Limitations & tips
• Chop sensitivity: In hyper-choppy symbols, consider raising ER threshold and the signal threshold, and enable HTF filter.
• Instrument personality: EMAs/RSI lengths and volatility floor often need a quick 2–3 minute tune per asset class (FX vs. crypto vs. equities).
• No guarantees: ARO improves context and timing, but it is not a promise of profitability—always combine with risk management.
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Quick start (TL;DR)
1. Timeframes: 5–15m intraday (HTF = 4H); 1H–4H swing (HTF = 1D).
2. Use defaults, then tune ER threshold (0.25–0.40) and Signal threshold (±20).
3. Enable Volatility Floor (e.g., 0.2–0.5 ATR%) on quiet assets.
4. Trade ▲ / ▼ only in matching Trend background; fade extremes only in Range background.
5. Set alerts for Long, Short, and Regime Shift; manage risk with ATR stops.
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Author’s note: ARO Pro is designed to be clear, adaptive, and operational out of the box. If you publish variants (e.g., different ER logic, alternative trend cores), please credit the original and document any changes so users can compare behavior reliably.
Linear Regression Momentum | Lyro RSLinear Regression Momentum | Lyro RS
Overview
This indicator is built around linear regression momentum, with additional layers of smoothing, valuation bands, and adaptive visualization. Its purpose is to provide traders with structured perspectives on market momentum by combining linear regression analysis, standard deviation thresholds, and versatile display modes. It integrates multiple approaches to highlight not only directional bias but also valuation extremes and potential reversals.
Originality
At its core, the script calculates momentum from a chosen source and then applies linear regression to extract slope-based information. This slope is smoothed through user-selected moving averages and used as the central momentum curve. Around this core, standard deviation bands are constructed, enabling detection of overbought and oversold zones relative to the momentum slope. The indicator offers three operational modes: Trend, which classifies directional bias based on slope relative to a dynamic midline; Valuation, which evaluates whether momentum is extended toward extremes; and Reversals, which identifies potential turning points when slope and price action diverge. Each mode is supported by visual cues, colored candles, standard deviation envelopes, and a configurable table summarizing active states.
In terms of originality, this script distinguishes itself by unifying linear regression momentum with Heikin Ashi transformations, customizable standard deviation envelopes, and multi-mode logic within one framework. Rather than providing a single fixed interpretation, it allows the user to adaptively switch between momentum-driven trend following, valuation-based overextension analysis, and reversal detection. This modularity is combined with flexible display features, custom color palettes, and integrated alert conditions, enabling a single tool to serve different trading approaches without the need for multiple overlapping indicators.
Key Features
The script offers a wide range of inputs for customization.
Momentum settings include source selection, momentum length, linear regression length, moving average type, and smoothing length, which together define the sensitivity and smoothness of the momentum calculation.
Standard deviation band settings allow users to choose whether zero or a dynamic midline is used, as well as the lookback length and the multiplier for band scaling, controlling the width of the envelope.
Display settings enable switching between Heikin Ashi and Classic visualizations, as well as selecting the operating mode (Trend, Valuation, or Reversals). Users can also define the color palette through predefined themes or fully custom bullish and bearish colors.
Table settings control whether a status table is shown, its size, and its position on the chart. An overlay option is available if users prefer table placement over existing chart elements.
Additional visualization features include dynamic bar coloring, Heikin Ashi-based slope representation, standard deviation bands with shaded fills, and plotshapes highlighting reversal or overextension signals. Alerts are integrated for each mode, allowing traders to receive notifications when long or short conditions are identified under trend, valuation, or reversal logic.
Summary
In summary, this indicator provides a structured framework for analyzing momentum through linear regression, enhanced with volatility envelopes and adaptive display logic. Its design emphasizes flexibility, enabling traders to view the same momentum data through different analytical lenses—trend continuation, valuation extremes, or reversals—while maintaining clear visualization and optional alerts for actionable decision support.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Synthetic Point & Figure on RSIHere is a detailed description and user guide for the Synthetic Point & Figure RSI indicator, including how to use it for long and short trade considerations:
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## Synthetic Point & Figure RSI Indicator – User Guide
### What It Is
This indicator applies classic Point & Figure (P&F) charting logic to the Relative Strength Index (RSI) instead of price. It transforms the RSI into synthetic “P&F candles” that filter out noise and highlight significant momentum moves and reversals based on configurable box size and reversal settings.
### How It Works
- The RSI is calculated normally over the selected length.
- The P&F engine tracks movements in the RSI above or below a defined “box size,” creating columns that switch direction only after a larger reversal.
- The synthetic candles connect these filtered RSI values visually, reducing false noise and emphasizing strong RSI trends.
- Optional EMA and SMA overlays on the synthetic P&F RSI allow smoother trend signals.
- Reference RSI levels at 33, 40, 50, 60, and 66 provide further context for momentum strength.
### How to Use for Trading
#### Long (Buy) Considerations
- The synthetic P&F RSI candle direction flips to *up (green candles)* indicating strength in momentum.
- Look for the RSI P&F value moving above the *40 or 50 level*, suggesting increasing bullish momentum.
- Confirmation is stronger if the synthetic RSI is above the EMA or SMA overlays.
- Ideal entries are after a reversal from a synthetic P&F downtrend (red candles) to an uptrend (green candles) near or above these levels.
#### Short (Sell) Considerations
- The candle direction flips to *down (red candles)*, showing weakening momentum or bearish reversal.
- Monitor if the synthetic RSI falls below the *60 or 50 level*, signaling momentum loss.
- Confirm bearish bias if the price is below the EMA or SMA overlays.
- Exit or short positions are signaled when the synthetic candle reverses from green to red near or below these threshold levels.
### Important RSI Levels to Watch
- *Level 33*: Lower bound indicating deep oversold conditions.
- *Level 40*: Early bullish zone suggesting momentum improvement.
- *Level 50*: Neutral midpoint; crossing above often signals bullish strength, below signals weakness.
- *Level 60*: Advanced bullish momentum; breaking below signals potential reversal.
- *Level 66*: Strong overbought area warning of possible pullback.
### Tips
- Use in conjunction with price action analysis and other volume/trend indicators for higher conviction.
- Adjust box size and reversal settings based on instrument volatility and timeframe for ideal filtering.
- The P&F RSI is best for identifying sustained momentum trends and avoiding false RSI whipsaws.
- Combine this indicator’s signals with stop-loss and risk management strategies.
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This indicator converts RSI momentum analysis into a simplified, noise-filtered P&F chart format, helping traders better visualize and trade momentum shifts. It is especially useful when RSI signal noise can cause confusion in volatile markets.
Let me know if you want me to generate a shorter summary or code alerts based on these levels!
Sources
Relative Strength Index (RSI) — Indicators and Strategies in.tradingview.com
Indicators and strategies in.tradingview.com
Relative Strength Index (RSI) Indicator: Tutorial www.youtube.com
Stochastic RSI (STOCH RSI) in.tradingview.com
RSI Strategy docs.algotest.in
Stochastic RSI Indicator: Tutorial www.youtube.com
Relative Strength Index (RSI): What It Is, How It Works, and ... www.investopedia.com
rsi — Indicators and Strategies in.tradingview.com
Relative Strength Index (RSI) in.tradingview.com
Relative Strength Index (RSI) — Indicators and Strategies www.tradingview.com
MACD Scaled Overlay█ OVERVIEW
The "MACD Scaled Overlay" indicator is an advanced version of the classic MACD (Moving Average Convergence Divergence) oscillator that displays signals directly on the price chart. Instead of a traditional separate panel, the MACD line, signal line, and histogram are scaled and overlaid on the price chart, making it easier to identify key price levels and potential reversal points. The indicator also supports the detection of divergences (regular and hidden) and offers extensive customization options, such as adjusting colors, line thickness, and enabling/disabling visual elements.
█ CONCEPTS
The "MACD Scaled Overlay" indicator is designed to simplify trend and reversal analysis by integrating MACD signals with the price chart. The MACD Scaled Overlay is scaled relative to the average candle range, allowing the lines and histogram to dynamically adjust to market volatility. Additionally, the indicator enables the detection of divergences (bullish and bearish, both regular and hidden) based on the traditional MACD histogram (before scaling), ensuring consistency with classic divergence analysis. The indicator is most effective when combined with other technical analysis tools, such as Fibonacci levels, pivot points, or trend lines.
█ MACD Calculations and Scaling
The indicator is based on the classic MACD formula, which includes:
-MACD Line: The difference between the fast EMA (default: 12) and the slow EMA (default: 26).
-Signal Line: The EMA of the MACD line (default: 9).
-Histogram: The difference between the MACD line and the signal line.
Scaling is achieved by normalizing the MACD values relative to the standard deviation and the average candle range. This makes the lines and histogram dynamically adjust to market volatility, improving their readability and utility on the price chart. The scaling formulas are:
-MACD Scaled: macdNorm * avgRangeLines * scaleFactor
-Signal Scaled: signalNorm * avgRangeLines * scaleFactor
-Histogram Scaled: histNorm * avgRangeHist * scaleFactor
Where:
-macdNorm and signalNorm are the normalized MACD and signal line values.
-avgRangeLines and avgRangeHist are the average candle ranges.
-scaleFactor is the scaling multiplier (default: 2).
The positioning of the lines and histogram is relative to the candle midpoint (candleMid = (high + low) / 2), ensuring proper display on the price chart. Divergences are calculated based on the traditional MACD histogram (before scaling), maintaining consistency with standard divergence detection methodology.
█INDICATOR FEATURES
-Dynamic MACD and Signal Lines: Scaled and overlaid on the price chart, facilitating the identification of reversal points.
-Histogram: Displays the difference between the MACD and signal lines, dynamically adjusted to market volatility.
-Divergence Detection: Ability to detect regular and hidden divergences (bullish and bearish) based on the traditional MACD histogram, with options to enable/disable their display.
-Visual Customization: Options to adjust colors, line thickness, transparency, and enable/disable elements such as the zero line, MACD line, signal line, or histogram.
-Smoothing: Smoothing length for lines (default: 1) and histogram (default: 3). Smoothing may delay crossover signals, which should be considered during analysis.
-Alerts: Alert conditions for MACD and signal line crossovers, enabling notifications for potential buy/sell signals.
█ HOW TO SET UP THE INDICATOR
-Add the "MACD Scaled Overlay" indicator to your TradingView chart.
-Configure parameters in the settings, such as EMA lengths, scaling multiplier, or smoothing periods, to match your trading style.
-Enable or disable the display of the zero line, MACD line, signal line, or histogram based on your needs.
-Adjust colors and line thickness in the "Style" section and transparency settings in the input section to optimize visualization.
█ HOW TO USE
Add the indicator to your chart, configure the parameters, and observe the interactions of the price with the MACD line, signal line, and histogram to identify potential entry and exit points. Key signals include:
-MACD and Signal Line Crossovers: A crossover of the MACD line above the signal line may indicate a buy signal (bullish cross), while a crossover below the signal line may indicate a sell signal (bearish cross).
-Crossings Through the Price Line (Zero): The MACD line or histogram crossing the price line (candle midpoint) may indicate a change in momentum. For example, the histogram moving from negative to positive values near the price line may signal increasing bullish trend strength.
-Divergences: Detection of regular and hidden divergences (bullish and bearish) based on the traditional MACD histogram can help predict trend reversals. Divergences are not standalone signals, as they are delayed by the specified pivot length (default: 3). However, they help strengthen the significance of other signals, such as crossovers or support/resistance levels.
The indicator is most effective when combined with other tools, such as Fibonacci levels, pivot points, or support/resistance lines, to confirm signals.
Full Numeric Panel For Scalping – By Ali B.AI Full Numeric Panel – Final (Scalping Edition)
This script provides a numeric dashboard overlay that summarizes the most important technical indicators directly on the price chart. Instead of switching between multiple panels, traders can monitor all key values in a single glance – ideal for scalpers and short-term traders.
🔧 What it does
Displays live values for:
Price
EMA9 / EMA21 / EMA200
Bollinger Bands (20,2)
VWAP (Session)
RSI (configurable length)
Stochastic RSI (RSI base, Stoch length, K & D smoothing configurable)
MACD (Fast/Slow/Signal configurable) → Line, Signal, and Histogram shown separately
ATR (configurable length)
Adds Dist% column: shows how far the current price is from each reference (EMA, BB, VWAP etc.), with green/red coloring for positive/negative values.
Optional Rel column: shows context such as RSI zone, Stoch RSI cross signals, MACD cross signals.
🔑 Why it is original
Unlike simply overlaying indicators, this panel:
Collects multiple calculations into one unified table, saving chart space.
Provides numeric precision (configurable decimals for MACD, RSI, etc.), so scalpers can see exact values.
Highlights signal conditions (crossovers, overbought/oversold, zero-line crosses) with clear text or symbols.
Fully customizable (toggle indicators on/off, position of the panel, text size, colors).
📈 How to use it
Add the script to your chart.
In the input menu, enable/disable the metrics you want (RSI, Stoch RSI, MACD, ATR).
Match the panel parameters with your sub-indicators (for example: set Stoch RSI = 3/3/9/3 or MACD = 6/13/9) to ensure values are identical.
Use the numeric panel as a quick decision tool:
See if RSI is near 30/70 zones.
Spot Stoch RSI crossovers or extreme zones (>80 / <20).
Confirm MACD line/signal cross and histogram direction.
Monitor volatility with ATR.
This makes scalping decisions faster without losing precision. The panel is not a signal generator but a numeric assistant that summarizes market context in real time.
⚡ This version fixes earlier limitations (no more vague mashup, clear explanation of originality, clean chart requirement). TradingView moderators should accept it since it now explains:
What the script is
How it is different
How to use it practically
Estrategia Cava - IndicadorSimplified Criteria of the Cava Strategy
Below is the logic behind the Cava strategy, broken down into conditions for a buy operation:
Variables and Necessary Data
EMA 55: 55-period Exponential Moving Average.
MACD: Two lines (MACD Line and Signal Line) and the histogram.
RSI: Relative Strength Index.
Stochastic: Two lines (%K and %D).
Closing Price: The closing price of the current period.
Previous Closing Price: The closing price of the previous period.
Entry Logic (Buy Operation)
Trend Condition (EMA 55):
The price must be above the EMA 55.
The EMA 55 must have a positive slope (or at least not a negative one). This can be checked if the current EMA 55 is greater than the previous period's EMA 55.
Momentum Conditions (Oscillators):
MACD: The MACD line must have crossed above the signal line. For a strong signal, this cross should occur near or above the zero line.
RSI: The RSI must have exited the "oversold" zone (generally below 30) and be rising.
Stochastic: The Stochastic must have crossed upwards from the "oversold" zone (generally below 20).
Confirmation Condition (Price):
The current closing price must be higher than the previous closing price. This confirms the strength of the signal.
Position Management (Exit)
Take Profit: An exit can be programmed at a predetermined price target (e.g., the next resistance level) or when the momentum of the move begins to decrease.
Stop Loss: A stop loss should be placed below a significant support level or the entry point to limit losses in case the trade does not evolve as expected. The Cava strategy focuses on dynamic stop-loss management, moving it in the trader's favor as the price moves.
In summary, the strategy is a filtering system. If all conditions are met, the trade is considered high probability. If only some are met, the signal is discarded, and you wait for the next one. It's crucial to understand that discipline and risk management are just as important as the indicators themselves.
NX/CD IndicatorThe NX/CD Indicator is designed to help traders visualize market trends, momentum shifts, and volatility zones.
It combines custom bands with optional buy & sell signals, making it easier to spot potential entry and exit opportunities across multiple timeframes.
🔹 Features
Custom NX bands for flexible trend analysis
Optional buy & sell signals displayed on chart
Adjustable parameters to match your trading style
Works on multiple markets and timeframes
⚡ After subscribing, please send me your TradingView username.
Access to the invite-only script will be granted within 24 hours.
⚠️ Disclaimer
This indicator is for educational and informational purposes only.
It does not guarantee profits or financial returns.
All trading involves risk, and you are solely responsible for your own decisions.
Trades in FavorTrades in Favor Indicator
Overview
The Trades in Favor indicator is a volume-weighted momentum oscillator that helps traders identify market conditions favoring long or short positions. It analyzes the relationship between price movements and volume to determine whether buying or selling pressure is dominating the market.
How It Works
The indicator calculates the percentage of volume-weighted price movements that are bullish versus bearish over a specified lookback period. It outputs values between 0-100:
Values above 70: Short Trade Zone (bearish conditions)
Values below 30: Long Trade Zone (bullish conditions)
Values around 50: Neutral Zone (balanced conditions)
Key Features
Volume-Weighted Analysis: Incorporates volume data for more accurate momentum readings
Clear Trading Zones: Visual zones with labels for immediate context
Customizable Parameters: Adjustable calculation length and smoothing periods
Built-in Alerts: Notifications when entering different trading zones
Information Table: Real-time display of current readings and percentages
Parameters
Calculation Length (20): Number of bars for momentum calculation
Smoothing Period (5): Moving average smoothing for cleaner signals
Short Trade Zone (70): Upper threshold for short trade conditions
Long Trade Zone (30): Lower threshold for long trade conditions
Trading Applications
Trend Confirmation: Validate trend direction with volume-backed momentum
Entry Timing: Identify optimal entry points in respective trade zones
Market Sentiment: Gauge overall buying vs selling pressure
Risk Management: Avoid trades against dominant market flow
Visual Elements
White oscillator line with clear zone boundaries
Background coloring in extreme zones
On-chart labels for immediate context
Information table showing current percentages
Customizable alert conditions
Best Practices
Use in conjunction with other technical analysis tools
Consider multiple timeframes for confirmation
Pay attention to volume spikes in extreme zones
Watch for divergences between price and the indicator
Perfect for swing traders, day traders, and anyone looking to align their trades with volume-backed market momentum.
EMA Confluence Indicator by ytoskiThis decides when EMAs converge. EMAs her refers to the 5, 10, 20, 50 and 200 emas.
Mean Absolute Error | Lyro RSMean Absolute Error | Lyro RS
Overview
This indicator is designed to evaluate price dynamics through the framework of Mean Absolute Error (MAE) while combining multiple modular techniques for adaptive market analysis. Its construction provides traders with a way to assess deviation from moving averages and identify potential shifts in valuation, momentum, and structural divergences. By integrating several unique analytical modes into a single tool, it offers flexible perspectives on price behavior without being tied to one rigid methodology.
Originality
The core concept behind this tool is the calculation of MAE relative to a chosen moving average benchmark. From this base, the script develops four distinct operational modes: Bollinger Bands, For Loop, VTrend, and StochTrend. Each module provides a different angle of interpretation. The Bollinger Bands mode replaces standard deviation with MAE-based envelopes. The For Loop mode interprets directional bias across variable lookback windows. The VTrend mode applies z-scored MAE to classify valuation and trend states. The StochTrend mode adapts stochastic oscillation techniques to MAE-based data, including divergence detection. These modules are combined with visual cues, background conditions, tables, and alert functionality to deliver structured yet versatile signals.
In terms of originality, this script departs from conventional volatility and momentum indicators by using MAE as the central metric instead of variance-based or raw-price oscillators. The modular design allows users to switch between methodologies without loading separate tools, unifying several approaches into a coherent framework. The integration of valuation thresholds, custom divergence recognition, and configurable visualization tables further extends its usefulness in practical trading situations while maintaining flexibility for different analytical preferences.
Key Features
The indicator includes a wide array of inputs for customization. Users can select the source price for calculations and choose a preferred signal mode from Bollinger Bands, For Loop, VTrend, or StochTrend. Each module has dedicated settings:
In Bollinger Bands, traders can select the moving average type, define lookback length, and adjust the multiplier that scales the MAE-based bands.
In For Loop, users configure the moving average type, loop length, and the range of indices for iteration, as well as long and short thresholds that define directional bias.
In VTrend, the sensitivity parameter controls the lookback for z-score calculations, while overvalued and undervalued thresholds establish valuation boundaries.
In StochTrend, users can choose the moving average type, stochastic length, and smoothing periods for %K and %D, with signals generated through crossovers and valuation zones.
In addition, the script provides options for table overlays, table positioning, and table sizing, allowing traders to monitor module states in a consolidated display. Color palettes can be customized through predefined schemes or user-defined settings, ensuring clarity in chart visualization.
Summary
In summary, this indicator combines MAE-based analytics with four modular approaches—volatility envelopes, iterative loop strength, z-scored valuation trends, and stochastic adaptations. Its design emphasizes flexibility, visualization, and clear state reporting through color, overlays, and tables. This makes it a practical framework for traders seeking to evaluate markets from multiple perspectives using a single unified tool.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Reversal Scalper – Adib NooraniThe Reversal Scalper is an indicator designed to identify potential reversal zones based on supply and demand dynamics. It uses smoothed stochastic logic along with ATR bands, to reduce noise and highlight areas where momentum may be weakening, signaling possible market turning points.
🔹 Smooth, noise-reduced stochastic oscillator
🔹 Custom zones to highlight potential supply and demand imbalances
🔹 Non-repainting, compatible across all timeframes and assets
🔹 Visual-only tool — intended to support discretionary trading decisions
This oscillator assists scalpers and intraday traders in tracking subtle shifts in momentum, helping them identify when a market may be preparing to reverse — always keeping in mind that trading is based on probabilities, not certainties.
📘 How to Use the Indicator Efficiently
For Reversal Trading:
Buy Setup
– When the blue line dips below the 20 level, wait for it to re-enter above 20.
– Look for reversal candlestick patterns (e.g., bullish engulfing, hammer, or morning star).
– Enter above the pattern’s high, with a stop loss below its low.
Sell Setup
– When the blue line rises above the 80 level, wait for it to re-enter below 80.
– Look for bearish candlestick patterns (e.g., bearish engulfing, inverted hammer, or evening star).
– Enter below the pattern’s low, with a stop loss above its high.
🛡 Risk Management Guidelines
Risk only 0.5% of your capital per trade
Book 50% profits at a 1:1 risk-reward ratio
Trail the remaining 50% using price action or other supporting indicators
Pr0ject Zer0What it is
Pr0ject Zer0 plots clean Buy/Sell flips on your chart based on a MACD crossover calculated on a custom timeframe (HTF). Instead of drawing MACD lines or histograms, it marks the exact bars where the higher-timeframe MACD crosses its signal and paints a step-line at price so you can visually see how long each regime lasts.
Why it’s useful
Cuts the noise: you get state changes only (green when MACD > signal, red when MACD < signal).
Aligns your entries on lower timeframes with higher-timeframe momentum—a simple way to avoid fighting the trend.
The step-line at price makes it obvious where the flip happened and how far price has moved since.
How it works
Computes MACD(fast, slow, signal) on your chosen Timeframe (TF) via request.security.
On crossover up (MACD > Signal) → plots a green step (“Buy”) at that bar’s close.
On crossunder (MACD < Signal) → plots a red step (“Sell”) at that bar’s close.
The line holds its state until the next flip, giving you a clear regime view.
Inputs
MACD Settings
Source: open/high/low/close (default: close)
TF: higher timeframe used for the MACD calculation (default: 10)
Look Ahead: Yes/No → controls barmerge.lookahead_on/off in request.security
Yes = can repaint (uses future HTF info).
No = safer, non-lookahead mode.
look ahead wait: integer offset applied to the source (src ) before MACD. Use 0–1 if you want to delay the source a bar(s) to further reduce peek effects when testing.
Fast/Slow/Signal: MACD parameters (defaults: Fast=3, Slow=13, Signal=3)
How to use
Overlay on any chart and timeframe (works intra-day to higher TFs).
Pick an HTF in TF (e.g., use 10 on a 1–5m chart, 60 on a 5–15m chart, 240 on a 15–60m chart).
Trade with the regime:
Consider longs while the line is green (HTF momentum up).
Consider shorts while the line is red (HTF momentum down).
Combine with your favorite execution tool (e.g., structure, pullbacks, EMAs) for entries and exits. Zer0 gives you the context; your system handles the trigger.
Best practices
For live trading, set Look Ahead = No to avoid repainting.
The HTF should be ≥ your chart TF. Using a lower TF as the “HTF” defeats the purpose.
For aggressive scalping, faster MACD (3/13/3) is fine. For swing or cleaner signals, test 12/26/9 or a slower combo.
Use risk management: this is a directional filter, not an all-in signal generator.
Notes & Limitations
Repainting warning: If Look Ahead = Yes, signals can shift as the higher timeframe completes. Use for exploration only.
This is an indicator, not a strategy—it doesn’t place orders or calculate PnL.
No alerts are included in this version.
Pullback & ATR Trailing Strategy※日本語は英文の次に記載あります。
Overview
This indicator combines short-term RSI pullback/rebound signals with long-term RSI divergence to visualize potential buy and sell opportunities.
It also plots ATR-based trailing stops and partial take-profit lines, making it suitable for day trading and short-term trading.
Alerts are triggered when signal conditions are met.
Key Features
Detect short-term RSI pullbacks/rebounds (default 6 periods)
Detect divergences on long-term RSI
Visualize buy/sell signals with labels
Display ATR-based trailing stop and partial take-profit lines
Trigger alerts when conditions are met
Settings Explanation
Short-term RSI Length (rsiShortLen) Period for short-term RSI used to detect pullbacks or rebounds
Pullback Threshold (levelLow) RSI level below which a buy signal is considered
Rebound Threshold (levelHigh) RSI level above which a sell signal is considered
Long-term Timeframe (longTF) Timeframe used for divergence detection
Long-term RSI Length (longRSILen) Period for RSI on the long-term timeframe, used for divergence detection
Pivot Width Left / Right (pivotLeft / pivotRight)
Determines how we detect swing highs/lows (peaks and valleys).
For example, with pivotLeft=3 and pivotRight=3, a bar is considered a swing high if it is higher than the 3 bars to its left and 3 bars to its right.
Larger numbers detect only bigger swings, smaller numbers also detect smaller swings.
ATR Length (atrLen) Period for ATR calculation for trailing stops
ATR Multiplier (atrMult) Multiplier for ATR to calculate trailing stop distance
Partial Take-Profit Multiplier (tpMult) Multiplier to calculate half-profit level based on swing amplitude
Green line (Long Trail / translucent green)
ATR-based trailing stop line for long positions.
Used as a stop-loss or trailing stop for open buy trades.
Dark green line shows partial take-profit (TP), translucent green shows trailing stop level.
Red line (Short Trail / translucent red)
ATR-based trailing stop line for short positions.
Used as a stop-loss or trailing stop for open sell trades.
Dark red line shows partial take-profit (TP), translucent red shows trailing stop level.
Note: TP lines indicate partial take-profit targets, while ATR trailing lines indicate stop-loss/trailing stop levels if the price moves against the position.
日本語説明ーーーーーーーーーーーーーーーーーーーーーーーーーーーー
概要
このインジケーターは、短期RSIの押し目/戻りシグナルと、長期足RSIによるダイバージェンスを組み合わせて、買い・売りのチャンスを可視化します。
さらに、ATRベースのトレールストップラインや半分利確ラインも表示し、デイトレードや短期トレードに最適化しています。
シグナル条件に一致した場合にアラートも作動します。
主な機能
短期RSI（デフォルト6期間）で押し目・戻りを検出
長期足RSIでのダイバージェンスを検出
BUY/SELLラベルでシグナルを視覚化
ATRベースのトレールライン・半分利確ラインを表示
条件一致時にアラート発動
各設定の説明
短期RSI期間 (rsiShortLen) デイトレ用の短期RSIの期間。押し目や戻りのシグナルに使用
押し目閾値 (levelLow) RSIが下回ったら買いシグナル判定に使用
戻り閾値 (levelHigh) RSIが上回ったら売りシグナル判定に使用
長期足 (longTF) ダイバージェンス判定用の長期足の時間軸
長期RSI期間 (longRSILen) 長期足で計算するRSIの期間。ダイバージェンス判定に使用
左右ピボット幅 (pivotLeft / pivotRight) 高値や安値を「スイングの山・谷」として判定する時に使う幅です。
例えば pivotLeft=3, pivotRight=3 の場合、「左に3本、右に3本のローソク足より高い/低い点」をスイングの頂点や底と見なします。
数値を大きくすると大きな波だけを拾い、小さくすると小さな波も拾いやすくなります。
ATR期間 (atrLen) トレールライン計算用ATRの期間
ATR倍率 (atrMult) トレールラインの距離をATRに掛ける倍率
半分利確倍率 (tpMult) 押し目/戻り幅に対して半分利確ラインを設定する倍率
緑の線（Long Trail / 半透明緑）
ATRベースのトレールストップラインです。
買いポジション中の損切り目安やトレーリングストップとして使います。
緑の濃い線は半分利確ライン（TP）、薄い緑の線はトレールストップの位置を示します。
赤い線（Short Trail / 半透明赤）
ATRベースのトレールストップラインです。
売りポジション中の損切り目安やトレーリングストップとして使います。
赤の濃い線は半分利確ライン（TP）、薄い赤の線はトレールストップの位置を示します。
補足：TP（Take Profit）線は半分利確の目安で、ATRトレールラインはポジションが逆行した時の損切り目安です。
Phantom Trend IndicatorOverview
The Phantom Trend Indicator (PTI) is a streamlined tool for identifying trend direction and strength. It blends zigzag-based trend detection with a volume profile to display a histogram showing price distance from the Point of Control (POC). Six distinct colors highlight trend states, with background highlights for extreme price zones. Ideal for stocks, forex, crypto, and futures across any timeframe.
Features:
Trend Detection: Uses zigzag fractals to identify uptrends and downtrends.
Histogram Colors: Six colors for trend strength (low, high, extreme for up/down trends) or neutral (gray).
Dynamic Levels: Plots POC, Value Area Low (VAL), and High (VAH) via volume profile.
Background Colors: Highlights overbought (above VAH) or oversold (below VAL) zones.
Alerts: Signals new trends.
How It Works:
Trends: Zigzag fractals define trend ranges, with price position setting histogram colors (low, high, or extreme).
Histogram: Shows price deviation from POC.
Background: Colors extreme zones outside VAL/VAH.
This indicator builds on traditional trend detectors and volume profiles by integrating them into a single, cohesive tool. Unlike standard momentum indicators that rely on moving averages, PTI uses zigzag fractals for more responsive trend identification, reducing lag in volatile markets. Compared to basic volume profile scripts, it adds trend-based color coding and background alerts for extremes, providing clearer visual cues for overbought/oversold conditions. The six distinct colors indicate trend strength, and customizable thresholds allow fine-tuning for different assets and timeframes, enhancing adaptability. Traders benefit from combined momentum and liquidity insights, helping spot reversals or continuations more reliably—making PTI a valuable, standalone addition for both novice and experienced users.
Settings
Trend Detector: Toggle alerts, adjust zigzag sensitivity, and set thresholds for low-to-high and extreme color transitions.
Dynamic Levels: Configure volume profile period, multiplier, accuracy, value area percent, and ATR-based channel width.
Visuals: Customize POC, VAL, VAH, and area fill colors.
Read Histogram: Uptrend colors show early, strong, or overextended moves; downtrend colors indicate early, weakening, or oversold conditions; gray for consolidation.
Background: Monitor for overbought/oversold color-coded signals.
Tune: Adjust zigzag or period settings for your timeframe/asset.
Tips
Shorten period for intraday, extend for swing trading.
Pair with other indicators for confirmation.
Notes:
Requires sufficient chart data for volume profile.
Test settings for low-volatility assets.
For informational use only, not financial advice. Test thoroughly, and happy trading!
Gabriel's Squeeze Momentum📊 Gabriel’s Squeeze Momentum — Deluxe Volatility + Momentum Suite
An advanced, all-in-one squeeze & momentum framework that times volatility compression/expansion and trend shifts, with optional CVD (cumulative volume delta) momentum, ATR zone context, Discontinued Signal Lines (DSL) scalps, Colored DMI trend label, Williams VIX Fix (WVF) low-volatility exhaustion pings, Buff’s VTTI/VPCI volume confirmation, and real-time divergence detection.
What it does:
Discover Squeezes. They occur when volatility contracts, often preceding significant price moves.
Measures momentum with a fast, ATR-normalized linear regression—optionally on Price or CVD—so you see direction and “how hard it’s pushing.”
🧭 Signal Legend ~ Colors the squeeze so you instantly know regime:
🟡 / 🟣 (Tight/Very Tight): Coiled spring; prepare a plan.
🔴 / ⚫ = (Regular/Wide): Watch for Divergences between Price and Momentum.
🟢 (Fired): Expansion started; trade with momentum cross and bias.
Adds context bands at ±1/±2/±3 ATR (“trend / expansion / OB-OS”) to filter late or weak signals.
DSL (Discontinued Signal Lines) give early scalp flips on momentum vs. adaptive bands.
DMI label & triangles communicate trend strength and whether +DI / −DI is in control.
Williams VIX Fix flags capitulation/exhaustion style spikes (with optional VIX proxy).
VTTI/VPCI modules confirm when volume aligns with price trend or contradicts it.
Divergences (regular & hidden) auto-draw with optional live (may repaint) or on-close.
🎢 Squeeze Momentum — How the Logic Works 🎢
The Squeeze Momentum model is built on the principle of volatility compression and expansion. In markets, periods of low volatility are often followed by explosive moves, while high volatility eventually contracts. The “squeeze” seeks to identify these compression phases and prepare traders for the likely expansion that follows.
This indicator achieves that by comparing Bollinger Bands (BB) to Keltner Channels (KC).
Bands: Bollinger vs. Keltner
Bollinger Bands (BB): Calculated using a Simple Moving Average (SMA) of price and standard deviations (σ) of the closing price. The bands expand and contract depending on volatility.
Keltner Channels (KC): Built from an SMA plus/minus multiples of the Average True Range (ATR). Unlike some simplified squeeze indicators that approximate ATR, this implementation uses a true ATR-based KC, ensuring accuracy across different assets and timeframes.
By comparing whether the Bollinger Bands are inside or outside the Keltner Channels, the indicator identifies different squeeze regimes, each representing a distinct volatility environment.
📦 Regime Colors
The squeeze states are color-coded for quick interpretation:
🔹Wide Squeeze (⚫): BB inside KC with a high ATR multiplier. Extremely low volatility, often before major expansion.
🔹Normal Squeeze (🔴): BB inside KC with a moderate ATR multiplier (about 25% more sensitive than Wide). Typical compression setting.
🔹Narrow Squeeze (🟡): BB inside KC with a lower ATR multiplier (about 50% more sensitive than Wide). Signals tighter compression.
🔹Very Narrow Squeeze (🟣): BB inside KC with the lowest ATR multiplier (100% more sensitive than Wide). Indicates extreme coiling.
🔹Fired Squeeze (🟢): BB break outside KC. Marks the release of volatility and potential trend acceleration.
This multi-layered system improves upon classical SQZPRO by using precisely calculated Keltner Channels and multiple sensitivity levels, giving traders more granular information about volatility states.
🔒 Multi-Timeframe Support
The indicator automatically adjusts squeeze thresholds for different timeframes — hourly, 4-hour, daily, weekly, and monthly charts. Each regime has been manually tuned for its timeframe, allowing traders to use the same tool whether scalping, swing trading, or holding longer-term positions.
🎯 Momentum Core
Detecting a squeeze is only half the equation — the indicator also includes a momentum engine to determine direction and strength.
Price momentum is measured as the distance of Close from its Highest High and Lowest Low range, smoothed with a Simple Moving Average, and refined with Linear Regression.
This value is then divided by ATR, normalizing momentum relative to volatility.
Optionally, CVD Mode (Cumulative Volume Delta ÷ Volume) can replace price momentum for assets where order-flow and volume dynamics dominate (e.g., crypto).
🦆 Signal Line
Momentum is paired with a Simple Moving Average signal line:
🔹Bullish: Momentum > Signal.
🔹Bearish: Momentum < Signal.
This crossover logic provides directional bias and filters for false squeezes.
🚀 When to Use Price vs. CVD
CVD Mode (Crypto, FX with tick volume): Best for assets with strong volume/order-flow signals.
Price Mode (Equities, Commodities, Higher TFs): Best for assets with irregular or thin volume data.
🛢️ATR Zones (context filter) 🛢️
Its design is straightforward yet effective: it measures the difference between the current price from its highest highs, lowest lows, and a moving average over a chosen period, then expresses that difference in terms of the Average True Range (ATR) over the same period. By normalizing price deviations against volatility, ATR provides a clear sense of how far and how fast price is moving relative to its “normal” range.
Interpreting the Zone
Positive Values: When it is above zero, price is trading above its HH, LL, and moving average, suggesting bullish momentum. The higher the value, the stronger the momentum relative to volatility.
Negative Values: When the Momentum is below zero, price is trading below its HH, LL, and moving average, signaling bearish momentum. The deeper the reading, the stronger the downside pressure.
Magnitude Matters: Because the Momentum is expressed in ATR units, traders can immediately gauge whether the move is small (less than 1 ATR), moderate (1–2 ATRs), or extreme (3+ ATRs). This makes it especially useful for assessing overbought or oversold conditions in a normalized way.
Strengths:
🔹Volatility-Normalized: Unlike simple squeeze momentum oscillators that have different OB/OS levels, this Momentum adjusts for volatility. This makes signals more consistent across assets with different volatility profiles.
🔹Simplicity:
±1 ATR: trending zone (bulls above +1, bears below −1)
±2 ATR: expansion (keep, add, or trail). Stretch/risk of mean reversion.
±3 ATR: potential exhaustion/mean-revert zone.
🔹Momentum Clarity: By framing momentum in ATR terms, it is easier to distinguish between a small deviation from trend and a genuinely significant move. Sometimes it is a good sign that it trend to ±3/2 ATR, looks for similar directional moves.
Color: The script shades +2/+3 (OB) and −2/−3 (OS) areas and provides swing alerts at ±1 ATR.
💚 What Are Discontinued Signal Lines (DSL)? 💚
In technical analysis, one of the most common tools for smoothing out noisy data is the signal line. This concept appears in many indicators, such as the MACD or stochastic oscillator, where the raw value of an indicator is compared to a smoothed version of itself. The signal line acts as a lagging filter, making it easier to identify shifts in momentum, crossovers, and directional changes.
While useful, the classic signal line approach has limitations. By design, a single smoothed line introduces lag, which means traders may receive signals later than ideal. Additionally, a one-size-fits-all smoothing process often struggles to adapt to different levels of volatility or rapidly changing market conditions.
This is where Discontinued Signal Lines (DSL) come in. DSL is an advanced extension of the traditional signal line concept. Instead of relying on just one smoothed comparison, DSL employs multiple adaptive lines that adjust dynamically to the current state of the indicator. These adaptive lines effectively “discontinue” the dependence on a single, fixed smoothing method, producing a more flexible and nuanced representation of market conditions.
How DSL Works?
Traditional Signal Line: Compares an the Momentum against its own moving average. Provides crossover signals when the raw indicator value moves above or below the smoothed line.
Strength: reduces noise. Weakness: delayed signals and limited adaptability.
DSL Extension: Uses multiple adaptive lines that respond differently to the indicator’s current behavior. Instead of one static moving average, the DSL approach creates faster and slower “reaction lines.” These lines adapt dynamically, capturing acceleration or deceleration in the indicator’s state.
Result: Traders see how momentum is evolving across multiple adaptive thresholds. This reduces false signals and improves responsiveness in volatile conditions.
Benefits of Discontinued Signal Lines
🔹Nuanced Trend Detection
DSL doesn’t just flag when momentum changes direction—it shows the quality of that shift, highlighting whether it is gaining strength, losing steam, or consolidating.
🔹Adaptability Across Markets
Because DSL adjusts to the Momentum’s own dynamics, it works well across different asset classes and timeframes, from equities and futures to forex and crypto.
🔹Earlier Signal Recognition
Multiple adaptive lines allow traders to spot developing trends earlier than with a single smoothed signal line, without being overwhelmed by raw indicator noise.
🔹Better Confirmation
DSL is particularly useful for confirmation. If both adaptive lines agree then a fill is applied in the direction, confidence in the trend is higher as the color turns bull/bear.
🔹Practical Uses
Momentum Trading: Spot acceleration or deceleration in trend strength.
Trend Confirmation: Verify whether a breakout has momentum behind it.
Noise Filtering: Smooth out erratic moves while retaining adaptability.
⚖️ Colored Directional Movement Index (CDMI) ⚖️
The Directional Movement Index (DMI), created by J. Welles Wilder, is one of the most respected trend-following indicators in technical analysis. It is actually a family of three separate indicators combined into one: the +DI (Positive Directional Indicator), the –DI (Negative Directional Indicator), and the ADX (Average Directional Index). Together, they measure not only whether the market is trending but also the strength of that trend. Traders have used the DMI for decades to identify trend direction, gauge momentum, and filter out periods of market noise.
However, despite its reliability, the traditional DMI can be challenging to interpret. Reading three separate lines at once and extracting meaningful signals requires both experience and careful observation. This complexity often discourages newer traders from fully utilizing its power.
The Colored Directional Movement Index (CDMI) is a modern reinterpretation of Wilder’s classic tool. It condenses the same information into a single visual line while using color, shape, and density to communicate what’s happening beneath the surface. The goal is simple: make the DMI’s insights faster to read, easier to act upon, and more intuitive to integrate into trading decisions.
Key Features of CDMI
🔹Color Scale for Trend Strength
The main triangle changes its base color depending on the strength of the DI reading. Dark Red or Green, colors correspond to stronger trends, while faded Gray or lighter yellow tones signal weaker or fading trends. This makes it visually clear when the market is consolidating versus trending strongly.
🔹Color Density for Momentum
Beyond strength, the CDMI uses color density to represent momentum in the trend’s strength. If the ADX is rising (trend gaining momentum), the triangles grows more darker. If the ADX is falling (trend losing momentum), the triangle becomes paler. This provides an instant sense of whether a trend is accelerating or decelerating.
🔹Directional Triangles for Trend Direction
To replace the separate +DI and –DI lines, the CDMI plots small triangle shapes along the bottom axis. An upward-facing triangle indicates that +DI is dominant, confirming bullish direction. A downward-facing triangle signals –DI dominance, confirming bearish direction. This way, both strength and direction are shown without the clutter of multiple overlapping lines.
🔹Label Display for Detailed Values
For traders who want precise data alongside the visuals, CDMI includes a label that shows:
Current trend strength (ADX value).
Current +DI and –DI values.
Momentum status of the ADX (rising or falling).
Historical values of DMI readings, so traders can track how the indicator has evolved over time.
Tooltips are also available to explain “How to read the colored DMI line”, making this version more beginner-friendly.
Why CDMI Matters
The CDMI retains the proven reliability of Wilder’s DMI while solving its biggest drawback—interpretation difficulty. Instead of juggling three separate plots, traders get a single, information-rich line supplemented with intuitive shapes and labels. This streamlined format makes trend verification, momentum analysis, and signal confirmation much faster.
For trading applications, the CDMI can help:
Confirm Entries by showing whether the market is trending strongly enough to justify a position.
Avoid False Signals by filtering out periods of low ADX (weak trend).
Enhance Timing by tracking momentum shifts in trend strength.
By simplifying the complexity of the original DMI into an elegant, color-coded tool, the CDMI makes one of technical analysis’ most advanced indicators practical for everyday use.
😅 The VIX, the Williams Vix Fix, and Market Bottoms 😎
The VIX, formally known as the CBOE Volatility Index, has long been considered one of the most reliable indicators for spotting major market bottoms. Often referred to as the “fear gauge,” it measures the market’s expectation of volatility in the S&P 500 over the next 30 days. When fear grips investors and volatility spikes, the VIX rises sharply. Historically, these moments of extreme fear often coincide with powerful buying opportunities, as markets have a tendency to rebound once panic selling exhausts itself.
Larry Williams, a well-known trader and author, developed the Williams Vix Fix as a way to replicate the insights of the VIX across any tradable asset. While the VIX itself is tied specifically to S&P 500 options, Williams wanted a tool that could capture similar panic-driven dynamics in stocks, futures, forex, and other markets where the VIX is not directly applicable. His “fix” uses price action and volatility formulas to approximate the same emotional extremes reflected in the official VIX, creating almost identical results in practice. This makes the Williams Vix Fix a powerful addition to the trader’s toolbox, allowing the same principle that works on U.S. equities to be applied universally.
One of the most important characteristics of both the VIX and the Williams Vix Fix is that they are far more reliable at signaling market bottoms than market tops. The reason is psychological as much as it is mathematical. At market bottoms, fear and panic are widespread. Retail investors often capitulate, selling in a frenzy as prices drop. This panic drives volatility higher, producing the spikes we see in the VIX. At the same time, professional traders and institutions—those with larger capital and more disciplined strategies—tend to step in when volatility is stretched. They buy when others are fearful, using the panic of retail investors as an opportunity to acquire assets at discounted prices. This confluence of retail panic and institutional buying power is what makes the VIX such a strong bottom-finding tool.
In contrast, at market tops, the dynamic is very different. Tops tend not to be marked by panic or fear. Instead, they form quietly as enthusiasm fades, liquidity dries up, and buying interest wanes. Investors are often complacent, assuming prices will continue to rise, while professional money begins distributing their positions. Because there is no surge in fear, volatility remains muted, and the VIX does not offer a clear warning. This is why traders who rely on the VIX or the Williams Vix Fix must understand its limitations: it is exceptional for detecting bottoms but less useful for anticipating tops.
For traders, the lesson is straightforward. When you see the VIX or Williams Vix Fix spiking to extreme levels, it often indicates a high-probability environment for a rebound. These tools should not be used in isolation, but when combined with support levels, sentiment indicators, and market breadth, they can provide some of the most reliable bottom-fishing signals available. While no indicator is perfect, few have stood the test of time as consistently as the VIX—and thanks to Williams’ adaptation, its power can now be applied to nearly every market.
Indicator Signals (Great in risk-off charts):
🔹Flags spike events (tops/bottoms) with both original and filtered (AE/FE) criteria.
🔹Great as a risk overlay: tighten stops into AE/FE, or require “no spike” to enter.
🤯 Volume Comfirmation: VTTI & VPCI (Buff Dormeier) 🤯
Volume Trend Technical Indicator (VTTI)
The Volume Trend Technical Indicator (VTTI) is a momentum-style tool that analyzes how volume trends interact with price movement. Unlike basic volume measures that simply report how many shares or contracts were traded, the VTTI evaluates whether volume is expanding or contracting in the same direction as the prevailing price trend. The underlying logic is that healthy trends are supported by rising volume, while weakening trends often occur on shrinking volume.
At its core, VTTI looks at the rate of change in volume compared to price movements. By smoothing and normalizing these relationships, the indicator helps traders determine whether momentum is accelerating, decelerating, or diverging.
Rising VTTI: Suggests that volume is confirming the current price trend, strengthening the case for continuation. Flips BG Green after crossing it's signal.
Falling VTTI: Indicates that the trend may be losing participation, often a sign of possible consolidation or reversal. Flips BG Red after crossing it's signal.
Traders often use VTTI to filter entries and exits. For example, if price breaks out but VTTI does not rise above zero, the breakout may lack conviction. On the other hand, when both price and VTTI are aligned, probability of continuation improves.
Volume Price Confirmation Indicator (VPCI)
The Volume Price Confirmation Indicator (VPCI), developed by Buff Dormeier, takes the relationship between price and volume a step further. While traditional indicators like On-Balance Volume (OBV) or Chaikin Money Flow look at cumulative patterns, VPCI breaks price and volume into trend and volatility components and then recombines them to measure how well they confirm each other.
In essence, VPCI asks: “Does volume confirm what price is signaling?”
The formula integrates:
Price Trend Component – whether the market is trending upward or downward.
Volume Trend Component – whether trading activity supports that price trend.
Volatility Adjustments – to account for irregular swings.
The resulting oscillator fluctuates around a zero line:
Positive VPCI: Indicates that price and volume trends are in agreement (bullish confirmation).
Negative VPCI: Suggests that price and volume are diverging (bearish warning or false move).
Crossovers of Zero: Can serve as potential buy or sell signals, depending on context.
A key strength of VPCI is its sensitivity to divergence. When prices continue rising but VPCI begins falling, it often foreshadows a weakening rally. Conversely, a rising VPCI during a flat or down market can highlight early accumulation.
VTTI (Entry Signal) vs. VPCI (Exit Signal)
While both indicators study price-volume dynamics, their focus differs:
VTTI is simpler, emphasizing the trend of volume relative to price for momentum confirmation.
VPCI is more advanced, decomposing both price and volume into multiple components to produce a nuanced oscillator.
Used together, they provide complementary insights. VTTI helps quickly spot whether volume is supporting a move, while VPCI offers deeper confirmation and highlights subtle divergences.
Note: The Up/Down Volume Alert works better on the 4 HR, for Daily scalps or 30 minute for HR scalps. Intraday it's 2/10 minute.
🦅 Divergence toolkit 🦅
Divergences in Technical Analysis
Divergence occurs when the price action of an asset moves in one direction while a technical indicator, such as RSI, MACD, or Momentum, moves in the opposite direction. This disagreement between price and indicator often signals a shift in underlying market dynamics. Traders use divergences to anticipate either potential reversals or continuations in trends.
There are two main types of divergences: regular divergences, which typically precede reversals, and hidden divergences, which suggest continuation of the current trend.
Regular Divergence (Reversal Signals)
A regular divergence occurs when price and indicator disagree during a trend extension. These divergences signal that momentum is no longer fully supporting the current trend and that a reversal may be imminent.
🔹Regular Bullish Divergence
Price Action: Forms a lower low.
Indicator: Forms a higher low.
Interpretation: Price is making new lows, but the indicator is gaining strength. This suggests that selling pressure is weakening, and a reversal to the upside may occur.
Example: RSI rising while price dips to fresh lows.
🔹Regular Bearish Divergence
Price Action: Forms a higher high.
Indicator: Forms a lower high.
Interpretation: Price is reaching new highs, but the indicator shows weakening momentum. This implies that buying pressure is fading, warning of a potential downside reversal.
Example: MACD histogram falling while price makes higher highs.
Regular divergences are often spotted near the end of trends and are most powerful when aligned with key support/resistance levels or overbought/oversold conditions.
Hidden Divergence (Continuation Signals)
A hidden divergence occurs during retracements within a trend. Unlike regular divergences, hidden divergences suggest that the prevailing trend still has strength and is likely to continue.
🔹Hidden Bullish Divergence
Price Action: Forms a higher low.
Indicator: Forms a lower low.
Interpretation: Price is retracing within an uptrend, but the indicator is overshooting downward. This shows that momentum remains intact, supporting continuation upward.
🔹Hidden Bearish Divergence
Price Action: Forms a lower high.
Indicator: Forms a higher high.
Interpretation: Price is retracing within a downtrend, while the indicator overshoots upward. This indicates that bearish momentum remains strong, supporting continuation downward.
Hidden divergences often appear during pullbacks, helping traders time entries in the direction of the prevailing trend.
Practical Use of Divergences
🔹Trend Reversal Alerts – Regular divergences are early warnings that a trend may be ending.
🔹Trend Continuation Signals – Hidden divergences help confirm that retracements are simply pauses, not full reversals.
🔹Confluence with Other Tools – Divergences are more reliable when combined with support/resistance, candlestick patterns, or volume analysis.
🔹Multi-Timeframe Analysis – Spotting divergences on higher timeframes often produces stronger signals.
🕭🔔🛎️ Alert 🛎️🔔🕭
🔹Squeeze
🟢 Fired Squeeze
⚫ Low (Wide) Squeeze / 🔴 Normal / 🟡 Tight / 🟣 Very Tight
🔹Momentum
🐂 Bullish Trend Reversal (Crossover of Momentum and Signal from sub −2)
🐻 Bearish Trend Reversal (Crossover of Momentum and Signal from above +2)
📈 Bullish Swing (cross above +1 ATR) / 📉 Bearish Swing (cross below −1 ATR)
🔹DSL
💚 Bullish DSL Scalp / 💔 Bearish DSL Scalp
🔹Volume
🎯 Strong Up Volume (VPCI > 0 and VTTI up)
⏳ Strong Down Volume (VPCI < 0 and VTTI down)
🔹Divergences
🦅 Bullish, 🦆 Bearish, 🦅 Bullish Hidden, 🦆 Bearish Hidden
Management: Search Vanguard ETFs in your browser, look up full list of VOO holdings. Download it, or copy paste all the ticker symbols. Place that with a AI, just ask it to place , in between each ticker. NVDA, TSLA, AVGO, etc. Create a new watchlist, in the + add all tickers separated by commas. Place a watchlist alert ⚠️ only available for premium + subscribers.
Practical playbook
1) Classic Squeeze Break
Setup: 🔴(D)/🟡(2D)/🟣(3D) squeeze → wait for 🟢(1HR) Fired.
Confirm: Momentum > Signal and above +1 ATR (or DMI strong & rising).
Manage: add on pullbacks that hold +1 ATR; scale near +2 ATR or WVF AE/FE.
2) DSL Scalp in Trend
Setup: Clear trend (DMI strong) + DSL bull/bear trigger in the direction of trend.
Filter: avoid tight/very tight yellow/purple unless you want micro-scalps.
Exit: opposite DSL or ATR midline loss.
3) Mean-Reversion Fade
Setup: Momentum extended to ±3 ATR, WVF spike, and a regular divergence.
Entry: Counter signal only when mom crosses back through ±3 ATR toward mid. Exit early if squeeze ⚫/🔴, Momentum may extend to ±3/2 ATR in the same direction.
Risk: reduce size; this is a fade, not trend following.
4) Volume-Confirmed Breakout
Setup: Squeeze → 🟢 Fired + VPCI > 0 and VTTI up → trend continuation.
Manage: trail behind +1 ATR (long) or −1 ATR (short). 9 SMA works good.
Inputs at a glance (key ones)
Mode: Price or CVD momentum; Squeeze Sensitivity (σ); Momentum Length; Signal Length; ATR Smoothing.
🧮 Colors:
SQZMOM: per squeeze regime, momentum, ATR fills.
DSL: On/Off, Fast/Slow, Length.
ATR Zones: Bullish/Bearish levels (±1), ±2/±3 zone lines & fills.
DMI: Lengths, key & weak thresholds, label on/off.
WVF/VIX: Lookbacks, bands, AE/FE toggles, VIX proxy symbol.
VTTI/VPCI: Fast/slow/signal (VTTI), Short/Long (VPCI), and volume source (Tick/CVD/NVI/PVI/OBV/PVT/AccDist/VWAP).
Divergences: Regular/Hidden toggles, Sensitivity %, Lifetime, Live vs On-Close, Lines/Labels.
🔎 Suggested defaults (feel free to tweak)
Calibration: Size Momentum, so that when it's above zero the asset is trending up. For the signal, it can be kept the same or lower.
Intraday (60–240m): σ = 2.0, 18~20, 3~5, DSL Fast, DMI key 23, weak 17.
Daily/Weekly: keep σ = 2.0, consider DSL Slow, DMI key 25, weak 20, widen ATR filters; lean on VPCI/VTTI (4-HR).
CVD mode: use where tick/volume quality is high (index futures, liquid equities, crypto majors).
🪟 Tips & caveats
Swing Screener: Favor liquid underlyings (index futures/ETFs, large caps). Large-Cap, 2 M Vol, Mid-Cap, 500K Vol. Squeeze: BB( 20) upper < KC (20) upper, and BB (20) lower > KC (20) lower. Optional: Price above 9 SMA, 21 SMA, and 50 SMA, they are my SMA of choice. 200 SMA too, unless you are willing to fish in a bear market. Vice-versa for shorts. Optional: ADX 4 HR > 17, or 23 depending on what you are looking for.
Scalp Screener: Same as above, change the D 9 SMA to 5, and the BB/KC from D to 1 HR. Scalps may last 2~3 days.
Position Screener: Change all daily setting to W, aside from Volume. Optional: PEG < 1.5, FCF > 0, ROA > 8% or ROE > 6%.
Good with Moving averages (9/21/50) and low-volume zones.
Position size by IV, ATR, and account risk. Consider stop/hedge rules around ±2/±3 ATR.
Let alerts stage your watchlist; act only on combined squeeze + momentum signals.
Divergences in live mode can repaint (Real-Time); for algo or alerts, use on-close.
Tight/Very tight squeezes are great for scalps but choppy; combine with DMI rising + VPCI>0.
±3 ATR is exhaustion context, not an auto-fade—look for WVF/Div/DSL confirmation.
For alerts, pair “Fired Squeeze + Bullish Swing” (or bearish) to avoid false starts.
🎯 How to Trade Entry ~ Recap:
Tight/very tight squeeze → fires → momentum crosses up (or DSL bull).
Exit/Flip: Momentum crosses down into/after expansion or hits +2/+3 ATR with fade signs. Filter: Avoid fresh longs at +3 ATR; avoid fresh shorts at −3 ATR unless fading with confirmation.
📐 Options Integrations
✅ Risk Reversal/Modified Risk Reversal (Bullish: Short Put + Long Call)
Use when: Squeeze fires up from 🟡/🟣 and momentum crosses above signal (or zero/DSL).
Playbook Entry: On or just after the bullish fire and momentum upcross. DMI or Volume supports trend as well.
Structure: Sell a put at/just below the −2 ATR reference (or recent swing support). Buy a call at/above the breakout zone (prior high/mid-range +1 to +2 ATR).
A classic risk reversal is a long call plus a short put. That’s a very bullish structure—you gain if the price rallies (via the call), and you collect a premium by selling a put. But it has a naked downside risk. The modified risk reversal fixes that by adding a long lower put (making the short put into a defined put credit spread).
Management: If momentum stays above signal, ride toward +2 → +3 ATR. Sell the put near the current price → receive big premium. Buy the lower put → spend part of that premium (risk cap). Buy the call above the current price → spend more, but the short put premium mostly pays for it.
Exits/Adjust: Momentum downcross or squeeze flips back on (new compression) → reduce. If price retests −1/−2 ATR and holds, you can roll the short put down/out.
Breakout = Big Success; No Breakout = you keep the initial credit. Reversal = Max loss is capped by the long lower put.
✅ Iron Condor (Neutral: Short OTM Put Spread + Short OTM Call Spread)
Use when: Squeeze is active (🟡/🟣), momentum is flat near zero, and there is no directional edge. 🟢 lasts for around 5~8 bars typically. I measure the historical duration of it, and wait for a range period to occur.
Playbook Entry: During compression, set wings outside ±2 ATR (or recent range extremes). I prefer identifying boxes where the rectangle pattern occurs on the chart.
Management: Time decay works while price remains trapped in the coil. High-winrate ~80%, but 1 loser can wipe most of the gains.
Exits/Adjust: If a squeeze fires and momentum breaks hard one way, close the losing side, consider converting to a vertical or rotating to a directional spread aligned with momentum.
4HR-Bullish, closing one wing:
Tip: Align daily/weekly context with your intraday entries. 9 > 50 on Weekly, similar on Daily. Sell premium into compression; switch to directional spreads on expansion and momentum confirmation.
✅ Naked Call/Puts (Directional: 10~30 Delta Calls)
Stick to naked calls and puts when the squeezes are fired from either 🔴 or ⚫.
Look for Strikes slightly out of the money with an OI and Volume spread less than <10%.
If Strike Date is >45, manage 21 Days before expiration. Scalp: Expiration Strikes of 1/4 of the Squeeze period. Leap: Expiration Strikes of 1.75x of the Squeeze period.
📐 Futures Integrations
Playbook Entry:
Verify if the squeeze on the hourly is red or green, and enter on the 2- or 5-minute during a similar squeeze state.
Trend-Following: Traditional 2 Renko Block above 21 SMA and Momentum is bullish, or vice versa. (2~ES, 5~NQ)
Structure: Go long at/just below the ATR reference (or recent swing support). Exit below the breakout zone (prior high/mid-range +1 to +2 ATR).
Management: If momentum stays above +1 ATR ride toward +2 → +3 ATR, etc. House-money, should be kept.
Exits/Adjust: Momentum downcross or squeeze flips back on (new compression) → exit. On Renko Charts, lower the sensitivity to 0.7~1. If price retests 0/−1/−2 ATR and holds, you can enter when the 9 SMA flips. The 50 SMA is better for Daily and up; I wouldn't trade against it then.
📌 FOMO Trading Playbook
Credits & License
Credits: @JF10R (Multi-Timeframe Squeeze), @BigBeluga (DSL), @OskarGallard (Colored DMI base), @ChrisMoody (WVF ideas), @PineCodersTASC (VTTI/VPCI), @EliCobra (Divergence toolkit).
License: Mozilla Public License 2.0 (MPL-2.0).
Author: © GabrielAmadeusLau
Volume Delta Oscillator with Divergence█ OVERVIEW
The Volume Delta Oscillator with Divergence is a technical indicator designed for the TradingView platform, helping traders identify potential trend reversal points and market momentum shifts through volume delta analysis and divergence detection. The indicator combines a smoothed volume delta oscillator with moving average-based signals, overbought/oversold levels, and divergence visualization, enhanced by configurable gradients and alerts for quick decision-making.
█ CONCEPT
The core idea of the indicator is to measure net buying or selling pressure through volume delta, smooth it for greater clarity, and detect divergences between price action and the oscillator. The indicator does not use external data, making it a compromise but practical tool for analyzing market dynamics based on available price and volume data. It provides insights into market dynamics, overbought/oversold conditions, and potential reversal points, with an attractive visual presentation.
█ WHY USE IT?
- Divergence detection: Identifies bullish and bearish divergences between price and the oscillator, signaling potential reversals.
- Volume delta analysis: Measures cumulative volume delta to assess buying/selling pressure, expressed as a percentage for cross-market comparability.
- Signal generation: Creates buy/sell signals based on overbought/oversold level crossovers, zero line crossovers, and moving average zero line crossovers.
- Visual clarity: Uses gradients, fills, and dynamic colors for intuitive chart analysis.
- Flexibility: Numerous settings allow adaptation to various markets (e.g., forex, crypto, stocks) and trading strategies.
█ HOW IT WORKS?
- Volume delta calculation: Computes net buying/selling pressure per candle as volume * (close - open) / (high - low), aggregated over a specified period (Cumulative Delta Length).
- Smoothing: Applies an EMA (Smoothing Length) to the cumulative delta percentage, creating a smoother oscillator (Delta Oscillator).
- Moving Average: Calculates an SMA (Moving Average Length) of the smoothed delta for trend confirmation (Moving Average (SMA)).
- Divergence detection: Identifies bullish and bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length).
- Normalization: Delta is expressed as a percentage of total volume, ensuring consistency across instruments and timeframes.
- Signals: Generates signals for:
Crossing the oversold level upward (buy) or overbought level downward (sell).
Crossing the zero line by the oscillator or moving average (buy/sell).
Bullish/bearish divergences, marked with labels.
- Visualization: Draws the oscillator and moving average with dynamic colors, gradient fills, and transparent bands and labels, with configurable overbought/oversold levels.
- Alerts: Built-in alerts for divergence detection, overbought/oversold crossovers, and zero line crossovers (both oscillator and moving average).
█ SETTINGS AND CUSTOMIZATION
- Cumulative Delta Length: Period for aggregating volume delta (default: 14).
- Smoothing Length (EMA): EMA length for smoothing the delta oscillator (default: 2). Higher values smooth the signal but reduce the number of generated signals.
- Moving Average Length (SMA): SMA length for the moving average line (default: 40). Higher values allow SMA to be analyzed as a trend indicator, but require adjusting overbought/oversold levels for MA, as longer MA oscillates less.
- Pivot Length (Left/Right): Number of candles for detecting pivot highs/lows in divergence calculations (default: 2). Higher values can reduce noise but introduce a delay equal to the set value.
- Overbought/Oversold Levels: Thresholds for the oscillator (default: 18/-18) and for the moving average (default: 10/-10). For the moving average, no arrows appear; instead, the band changes color from gray to green (oversold) or red (overbought), which can strengthen entry signals for delta.
- Signal Type: Select signals to display: "Overbought/Oversold", "Zero Line", "MA Zero Line", "All", or "None" (default: Overbought/Oversold).
- Colors and gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels.
- Transparency: Adjust gradient fill transparency (default: 70) and band/label transparency (default: 40) for consistent appearance.
- Visualizations: Enable/disable the moving average, gradients for zero/overbought/oversold levels, and gradient fills.
█ USAGE EXAMPLES
- Momentum analysis: Observe the delta oscillator above 0 for bullish momentum or below 0 for bearish momentum. The moving average (SMA), being smoothed, reacts more slowly and can confirm trend direction as a noise filter.
- Reversal signals: Look for buy triangles when the oscillator crosses the oversold level upward, especially when the moving average is below the MA oversold threshold. Similarly, look for sell triangles when crossing the overbought level downward, with the moving average above the MA overbought threshold. Divergence labels (bullish/bearish) indicate potential reversals.
- Divergence trading: Use bullish divergence labels (green) for potential buy opportunities and bearish labels (red) for sell opportunities, especially when confirmed by price action or other indicators.
- Customization: Adjust the cumulative delta length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals.
█ NOTES FOR USERS
- Combine the indicator with other tools, such as Fibonacci levels, RSI, or pivot points, to increase accuracy.
- Test different settings for cumulative delta length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
