Rate of Change Indicator [JopAlgo] (ROCI)Rate of Change Indicator (ROCI) — see impulse early, skip the dead moves
What it is (one line):
ROCI tells you how fast price changed vs N bars ago , in percent. It’s a clean momentum gauge:
Above 0 → price is higher than N bars ago (bullish momentum).
Below 0 → price is lower than N bars ago (bearish momentum).
Further from 0 → stronger impulse.
The default +5 / −5 bands highlight strong thrust . Zero-line crosses flag momentum shifts.
What you’ll see
Blue line = ROCI.
Orange dotted line = 0 (bull/bear divider).
White dotted lines = ±Strong Momentum levels (default ±5).
Green/red panel tint when ROCI lives above +5 or below −5.
Read in 3 seconds: Which side of 0? How far? Growing or fading vs last bar?
How to use it (simple playbook)
Direction filter
Trade longs only while ROCI > 0.
Trade shorts only while ROCI < 0.
Timing
Breakouts: prefer breaks where ROCI pushes through +5/−5 and holds on the first retest.
Pullbacks in trend: in an uptrend, let ROCI dip toward 0 and then turn back up → entry. (Mirror for downtrends.)
Do less in chop
If ROCI whips around near 0, you’re in balance. Only act at objective levels.
Rule of thumb: Zero cross = heads-up. ±5 hold = go-with.
Entries, exits, risk (use this, keep it tight)
Continuation entry (trend):
Bias up at your level (e.g., VAL/AVWAP). ROCI stays > 0 and turns up from a shallow dip → enter long.
Stop: under structure/level. Targets: POC/HVNs or next swing.
Breakout entry:
Break through a level with ROCI > +5 (or < −5 for shorts). Enter on the retest that holds while ROCI remains outside the band.
Invalidation: quick fall back inside the band and under 0 → stand down.
Exit/trim:
On longs, repeated lower ROCI peaks into your target (momentum fading) → take profits or tighten.
Timeframe guide
1–5m (scalps) : ROC Period 10–20, Strong 6–10. Many signals; require level + confirmation.
15m–1H (intraday): ROC Period 14–34, Strong 4–7. Sweet spot.
2H–4H (swing): ROC Period 20–50, Strong 3–6. Cleaner legs, fewer flips.
1D+ (position): ROC Period 50–100, Strong 2–5. Use for backdrop; trigger on lower TF.
Settings that actually matter (and how to tune)
ROC Period (default 32) : lookback for comparison.
Shorter = earlier signals, more noise.
Longer = steadier bias, slower turns.
Strong Momentum Threshold (default 5) : where you say “this is real thrust.”
Pick it by history: scroll back, mark thrusts that ran, and note their typical ROCI. Set the band slightly inside that value so you see the start of good moves.
Pattern cheatsheet
Impulse leg : ROCI above 0 making higher peaks → trend leg in progress.
Healthy pullback : ROCI dips toward 0 but doesn’t flip negative, then turns up → add/entry with trend.
Weak breakout / likely fail: Price pokes level but ROCI stays near 0 or rolls over quickly.
Divergence (lightweight): Price makes a higher high, ROCI peaks lower → momentum thinning; trail tight into HVNs.
Best combos (kept simple)
Volume Profile v3.2 : Use VAH/VAL/LVNs/POC for where. ROCI tells you if the break has juice.
Anchored VWAP : Reclaim/reject AVWAP with ROCI on the correct side of 0 for higher quality.
CVDv1 :
Yes: ROCI thrust + CVD Alignment OK + no Absorption → higher odds the move sticks.
No: ROCI thrust but Absorption red → don’t chase; wait for the fail/reclaim.
(Optional add: RVOL—high participation + strong ROCI is the A+ combo for breaks.)
Common mistakes this avoids
Buying a breakout while ROCI sits near 0 (no impulse).
Shorting a strong trend when ROCI is firmly > 0 (or > +5).
Treating every zero cross as a trade (it’s a heads-up, not an entry by itself).
Quick defaults to start
ROC Period: 32
Strong Threshold: 5
Process: Level → ROCI side/strength → (optionally) CVD quality → Execute with structure-based risk
Screenshots tip: show a level break where ROCI pushes through +5 and a pullback where ROCI turns up from ~0.
Mini-disclaimer
Educational tool, not financial advice. Test first, size sensibly, and always anchor decisions to levels, flow, and risk.
ווליום
Basic Odds Enhancer: Supply Zone for ShortsHow to Use/Adjust:
On your chart, it marks bars where a 20-bar high coincides with high volume and bearish divergence—flag these as supply zones.
Tweak supply_threshold to 2.0 for stricter volume (fewer but stronger signals).
For zones, manually draw rectangles around the flagged area (use Drawing Tools > Rectangle).
Backtest: Apply to historical data (e.g., EUR/USD 4H) and check win rate with shorts on retests.
This setup typically yields 2-5 signals per week on major pairs, depending on volatility. Test on a demo account, and combine with market context (e.g., avoid shorts in strong uptrends).
Odds Enhancer: Volume + RSI DivHow it Works: This flags potential demand zones where price hits a 20-bar low with a volume spike and bullish RSI divergence. Customize for supply zones by flipping logic.
Relative Volume (RVOL) [JopAlgo]Relative Volume (RVOL) — “Filter Fakes, Ride Real Moves”
What it does:
Shows how today’s volume compares to its own average.
RVOL = current volume ÷ SMA(volume, length)
RVOL > cutoff → participation above normal (green)
RVOL < cutoff → participation below normal (red)
Use it to confirm breaks, filter entries, and avoid chasing moves fueled by thin volume.
Read it in 5 seconds
Above/Below the cutoff line (white) = high/low participation now.
Spikes through the cutoff on a break = real interest.
Dry-ups (well below cutoff) into support/resistance = good risk for mean-revert or pullback entries.
If you remember one rule: don’t chase a breakout with RVOL under the cutoff.
Simple playbook (copy this)
Breakout confirmation
Break at VAH/LVN/structure and RVOL > cutoff → take the retest that holds.
If RVOL stays below cutoff on the break → likely fake; wait for reclaim.
Pullback in trend
Trend up, price pulls to AVWAP / VAL / MA cluster with RVOL below cutoff → take the bounce when price turns; add if RVOL rises on the resume.
Fade the exhaustion
Into resistance, huge RVOL spike but no follow-through (long wick, CVD Absorption) → look for the fail back inside value.
Do less in chop
When RVOL hugs below cutoff all session, expect range; trade edges only.
Timeframe guide
1–5m (scalps): Signals are frequent. Keep cutoff ≥ 1.5; demand RVOL on breaks.
15m–1H (intraday): Sweet spot. cutoff 1.5–2.0 is a solid filter.
2H–4H (swing): Look for clustered bars > cutoff during expansions; dry-ups flag pullback entries.
1D+: Use RVOL to separate true trend days from drift.
Settings that matter
Length (default 14):
Shorter = reacts faster; Longer = smoother baseline.
Intraday: 14–20
Swing/Daily: 20–30
Cutoff (default 1.0):
Set the bar for “real” volume.
Conservative confirmation: 1.5–2.0
For slower pairs/timeframes: 1.2–1.5
Tune by scrolling back and marking where good breaks happened.
Color logic: green above cutoff, red below—no surprises.
Best combos (kept simple)
Volume Profile v3.2 : Confirm breaks of VAH/VAL/LVNs with RVOL > cutoff; target POC/HVNs.
Anchored VWAP : Reclaims/rejections with RVOL > cutoff stick more often.
CVDv1 :
Yes: RVOL high and CVD Alignment OK and no Absorption → higher-quality move.
No: RVOL high but Absorption red → don’t chase; look for fail/reclaim.
Pattern cheat sheet
Trend day: RVOL stays > cutoff on pushes; pullbacks show RVOL dip, then re-expand.
False break: Price pokes level, RVOL < cutoff, quick give-back.
Accumulation: Series of low-RVOL bars compressing under a level → watch for the first RVOL pop to go.
Exhaustion wick: RVOL spike + long wick into resistance/support → likely trap unless next bar accepts.
Notes & pitfalls
Exchange volume varies (crypto): use the same feed you trade and calibrate cutoff there.
RVOL ≠ direction: it’s participation. Always pair with location, structure, and flow.
Quick defaults to start
Length: 20
Cutoff: 1.5 (intraday) / 1.8–2.0 (for stricter confirmation)
Process: Level → RVOL above/below cutoff → CVD quality → Execute with structure-based risk
Mini-disclaimer
Educational tool, not financial advice. Test first, size sensibly, and always anchor decisions to levels, flow, and risk.
Elliott Wave Oscillator [JopAlgo]Elliott Wave Oscillator — a simple impulse meter that tells you when the move has “real push”
If price is the story, impulse is the emotion behind each chapter. The Elliott Wave Oscillator (EWO) is a clean way to see that emotion: it’s just the difference between a fast and a slow moving average. When the fast MA pulls away from the slow MA, the histogram grows; when they come back together, it shrinks. Above zero = bullish impulse; below zero = bearish impulse.
EWO keeps the math honest and the read effortless:
Choose SMA, EMA, or a volume-weighted average for each side (the “VWAP” option here uses a rolling VWMA over the chosen length).
A zero line anchors the read (bull vs bear).
Bars color by slope: rising = building momentum, falling = momentum fading.
(For screenshots: image #1 label the zero line, rising/falling bars, and a zero cross. Image #2 show a strong impulse leg hugging one side of zero, then fading into a pullback.)
What you’re seeing (and how it’s built)
Short MA (default 5) and Long MA (default 35) are computed using your selected MA Type (SMA, EMA, or rolling volume-weighted).
EWO = Short MA − Long MA.
EWO > 0: fast MA above slow → bullish impulse.
EWO < 0: fast MA below slow → bearish impulse.
Histogram colors:
Green bar: EWO increasing vs previous bar (momentum building).
Red bar: EWO decreasing (momentum waning).
Alerts: fire when EWO crosses the zero line (bullish or bearish “trend shift” heads-up).
New to this? Think of EWO as a throttle: above zero the engine is pushing forward; below zero it’s pushing backward. The height shows how hard it’s pushing; the color shows if that push is growing or fading right now.
How to use EWO on any timeframe
Same framework everywhere—what changes is your location and targets (from your other tools).
Scalping (1–5m)
Breakout confirmation: Only chase a micro-break if EWO flips above zero and grows green as price leaves a level (VAL/LVN/AVWAP). If it flips then immediately shrinks red, that’s your “don’t chase” warning.
Pullback timing: In a quick trend, wait for EWO to dip but stay above zero, then turn green again. That flip is often your pullback end.
Intraday (15m–1H)
Continuation filter: After a level break, ride as long as EWO stays on your side of zero. The first red bar while still above zero is a cue to partial or tighten stops.
Failed break tell: A poke through VAH/VAL with EWO still near zero (no expansion) is often a trap. Prefer retest/reclaim trades.
Swing (2H–4H)
Impulse leg ID: Strong trends show an EWO “bulge” (wide, mostly green bars above zero for longs). When that bulge shrinks back toward zero, look for mean-reversion to AVWAP/POC before the next leg.
Divergence (lightweight): Price makes a higher high, but EWO tops at a lower peak → impulse is weaker; plan for retrace to value.
Position (1D–1W)
Regime bias: Weeks where EWO lives above zero are net constructive; below zero are net distributive. Use that as a backdrop for adds/reductions at your higher-TF levels (Weekly AVWAP, composite VAL/VAH).
Entries, exits, and risk (simple rules)
Entry: At your level (from VP/AVWAP), take the side where EWO is on the correct side of zero and turning green (for longs) or red→green below zero for shorts? Careful—below zero, red means waning bear impulse. For shorts, you want EWO < 0 and increasing in magnitude (i.e., more negative) which still paints red in this script? Here’s the practical translation:
Longs: EWO > 0 and rising (green bar).
Shorts: EWO < 0 and falling (more negative vs prior bar). In this script, that also paints red—which is correct for building bearish impulse.
Manage: If your long was driven by EWO above zero, consider reducing when bars turn red repeatedly or EWO rolls back toward zero at your target node.
Invalidation: A zero cross against you after entry is a hard warning—tighten or exit unless higher-TF context strongly favors holding.
Stops: Place beyond the price level/structure you used, not on an EWO flip alone.
Settings that actually matter (and how to tune them)
MA Type (SMA / EMA / VWAP):
EMA: most responsive; great for scalping/fast intraday.
SMA: smoother; better for swings where you want fewer false wiggles.
VWAP (rolling VWMA): weights price by volume over your length—nice on pairs where volume behavior matters. (Note: this is a rolling VWMA, not an anchored session VWAP.)
Short/Long Lengths (default 5/35):
Shorter/faster (e.g., 4/20) → earlier flips, more noise.
Longer/slower (e.g., 8/50) → fewer but stronger signals.
Keep the ratio—something like 1:4 to 1:6—so the “bulge” is meaningful.
Zero-cross alerts: leave them on but treat as heads-up, not entries in isolation. You still want location + flow.
What to look for (pattern cheatsheet)
Impulse bulge: Wide, consecutive bars above zero (mostly green) → trend leg in progress. Expect shallow pullbacks only.
Pullback reset: After a leg, EWO shrinks but stays above zero, then flips green again → pullback likely done.
No-juice breakout: Price pokes the level but EWO stays near zero / flips red quickly → skip the chase; look for reclaim setups.
Divergence at extremes: New price high with lower EWO peak → risk of fade to value (POC/AVWAP).
Combining EWO with other tools
Cumulative Volume Delta v1 (CVDv1):
Use EWO for impulse, CVDv1 for quality. Best trades line up as:
EWO > 0 and increasing + CVDv1 ALIGN = OK + Imbalance strong + Absorption ≠ red → take the breakout/retest.
If EWO says “go” but CVDv1 flags Absorption, don’t chase.
Volume Profile v3.2:
Use VAH/VAL/LVNs/POC as where. EWO tells you if the push has fuel to leave/enter value.
Example: VAL retest with EWO turning up → rotate to POC/HVN.
Anchored VWAP:
Reclaims are higher quality when EWO flips above zero on the reclaim bar and holds green on the first pullback.
(Optional mention in screenshots: show a VAH break where EWO bulges and CVDv1 shows Alignment OK—clean continuation.)
Common pitfalls EWO helps you avoid
Buying a break with no impulse: Zero-line hugs and shrinking bars tell you the fast MA isn’t pulling away—skip.
Fading a real leg: Wide, persistent bars on one side of zero = don’t fight; use pullbacks to value instead.
Confusing volume-weighted vs anchored VWAP: The “VWAP” choice here is a rolling VWMA over the lookback, not a session/event AVWAP. Use Anchored VWAP when you need the true event-anchored line.
Practical defaults to start with
MA Type: EMA
Short/Long: 5 / 35
Timeframes: works out of the box on 15m–4H; for 1–5m try 4/20; for daily swings try 8/50.
Keep zero-cross alerts on as an attention ping; still require location + flow.
Alerts (what they mean)
Bullish EWO Signal: EWO crossed above zero → bullish impulse engaged. Look for a retest at your level with CVDv1 quality before entry.
Bearish EWO Signal: EWO crossed below zero → bearish impulse.
Open source & disclaimer
This indicator is published open source so traders can study it, tweak it, and build rules they trust. Tools inform decisions, but risk management decides outcomes.
Disclaimer — Not Financial Advice.
The “Elliott Wave Oscillator ” indicator and this description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including possible loss of capital. makes no warranties and assumes no responsibility for any trading decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results.
Use EWO to judge when there’s real push, Volume Profile v3.2 and Anchored VWAP for where to act, and CVDv1 to verify who’s actually pushing. That trio keeps you selective on any timeframe.
Anchored VWAP Bands v3.3 [JopAlgo]Anchored VWAP — a fair-value compass you can trust on any timeframe
If Volume Profile shows where business concentrated, Anchored VWAP (AVWAP) shows what the crowd has paid on average since a moment that matters. It’s a running average of price weighted by traded volume, reset at a point you choose (the “anchor”). That makes AVWAP a reliable fair-value line: above it, the average participant since the anchor is in profit; below it, they’re under water. Markets naturally react around that line.
This version focuses on the parts that make AVWAP practical for real trading:
Clear, event-anchored VWAP so you can ask “since this moment, where is fair value?”
Optional higher-timeframe anchors (e.g., Weekly AVWAP) to define regime
Simple visuals so newer traders can read it instantly, and advanced traders can layer multiple anchors without clutter
(When you add screenshots: image #1 should point to the main AVWAP line with a label “fair value since anchor”, and show a bounce/reject. Image #2 can show confluence: AVWAP kissing VAL/VAH from Volume Profile v3.2 or a clean reclaim through AVWAP.)
What you’re seeing (and why price cares)
The AVWAP line: the volume-weighted average price since your anchor time.
Price above AVWAP → average long (since anchor) is in profit → pullbacks to AVWAP tend to support.
Price below AVWAP → average long is losing → rallies to AVWAP tend to resist.
Multiple anchors (optional): you can plot more than one AVWAP (e.g., Weekly AVWAP and an Event AVWAP) to separate regime (weekly) from tactical timing (event/session).
AVWAP works because it ties “fair value” to time and participation, not just price. When price departs far from AVWAP and then returns, participants frequently defend the line. When price accepts on the other side (closes and holds), that’s often a regime change relative to the anchor.
Anchors: how to pick them (and what changes when you do)
An anchor is simply the timestamp where you start the calculation. Changing it changes both context and expectations:
Session anchors (intraday) — e.g., session open, London/NY open.
Use: scalps/intraday plays.
Behavior: frequent tests; strong for fade-to-mean trades and quick reclaims.
Event anchors — listing, major news, ETF approval, earnings, a swing high/low.
Use: track how price behaves since the catalyst.
Behavior: excellent for measured pullbacks and “is the market digesting this event yet?”
Weekly/Monthly anchors — the Weekly AVWAP is a regime line.
Use: swing/position bias.
Behavior: clean “reclaim” and “rejection” signals; great with Volume Profile’s VAH/VAL.
Rule of thumb:
Choose the slowest anchor that defines your bias (e.g., Weekly AVWAP for swings) and one faster anchor for timing (e.g., Session/Event AVWAP). Too many lines → hesitation.
How to use AVWAP on any timeframe
The framework doesn’t change—only your anchor choices and expectations do.
Scalping (1–5m charts)
Anchors: Session open, London/NY open, or the prior swing low/high.
Setup: If price trends away from the session AVWAP, fade back to AVWAP only when flow isn’t showing absorption against you (pair with CVDv1). If price reclaims AVWAP after a push below, look for inside-back retests at the line.
Intraday (15m–1H)
Anchors: Session open + important event AVWAP (FOMC-like news, ETF day, etc.).
Setup: Use pullbacks to AVWAP to join trend; require acceptance above/below (close and hold) before flipping bias. Confluence of AVWAP with VP v3.2’s VAH/VAL = high-quality location.
Swing (2H–4H)
Anchors: Weekly AVWAP for regime + event AVWAP for timing.
Setup: Reclaim of Weekly AVWAP → prefer longs on pullbacks to that line; rejection → fade rallies into Weekly AVWAP (target POC/HVNs from VP). The best entries are AVWAP + VP edge with CVDv1 not flashing Absorption.
Position (1D–1W)
Anchors: Monthly/Quarterly/Cycle AVWAP.
Setup: Treat the higher-timeframe AVWAP as the mean. Acceptance through it (and hold) often marks cycle transitions. Add on pullbacks to the line that hold.
Reading reclaims, rejections, and “acceptance”
Reclaim: price trades below AVWAP, then closes back above and holds on a retest → bullish signal since the anchor.
Rejection: price pops above AVWAP, prints rejection wick and closes back under → bearish.
Acceptance: multiple bars closing and holding beyond AVWAP, ideally with CVDv1 Alignment OK and no Absorption → higher odds the move persists.
With Volume Profile v3.2, treat AVWAP at VAL/VAH as A-tier locations:
VAL + AVWAP reclaim → mean-reversion long to POC is common.
VAH + AVWAP rejection → fade back to POC or to the next HVN.
Settings that matter (and simple defaults)
Names may vary by version, but these are the ideas you’ll see.
Anchor Time — pick a timestamp (session open, event, week start). Newer traders: start with Session AVWAP intraday; add Weekly AVWAP for swings.
Multiple anchors — if enabled, you can show Weekly AVWAP alongside your custom anchor. Keep it to two lines to stay decisive.
Smoothing / Display — most traders use raw AVWAP (no smoothing). Make sure the line is visible across zoom levels.
Theme & Colors — use distinct colors for each anchor (e.g., white for Weekly, aqua for Session/Event) so you don’t mix them up.
How AVWAP pairs with other tools
Cumulative Volume Delta v1 (CVDv1) — confirms flow quality at AVWAP.
Don’t chase a tag through AVWAP if CVD Absorption is red (typical failed break conditions).
Do prefer reclaims when Alignment = OK and Imbalance % is strong for your anchor.
Volume Profile v3.2 — gives you objective levels (POC/VAH/VAL/HVNs).
AVWAP + VAH/VAL confluence is where you plan trades.
Passing through an LVN toward AVWAP often travels fast; use that to manage risk.
(Add a screenshot that highlights AVWAP touching VAL with CVDv1 “Efficient” → clean bounce to POC.)
A simple, durable playbook
Pick one slow anchor (e.g., Weekly) for bias and one fast anchor (Session/Event) for timing.
Trade at the line, not mid-air: reclaims and rejections at AVWAP are your signals.
Require confirmation from flow: CVDv1 Alignment OK, Imbalance strong, Absorption ≠ red on the trigger bar.
Add Volume Profile v3.2 for targets (POC/HVNs) and edges (VAH/VAL).
If price accepts beyond AVWAP (closes and holds), stop fading and instead join pullbacks to the line.
Common mistakes AVWAP solves
“Mean keeps moving, my MA lies.” AVWAP weights actual traded volume, so fair value adapts to where business was done, not just where price wandered.
“It broke the line and reversed.” That’s no acceptance (or CVDv1 flagged Absorption). Wait for the retest/hold.
“Too many lines, can’t decide.” Keep two anchors max: one for bias, one for timing.
Practical defaults to start with
Intraday: Session AVWAP only. Add an Event AVWAP on special days.
Swing: Weekly AVWAP + one Event AVWAP (start of move or weekly open).
Colors: Distinct but readable (e.g., white for Weekly, aqua for Session/Event).
No smoothing. Let the line be honest—your eyes adjust quickly.
Open source & disclaimer
This indicator is provided open source so you can learn, test, and adapt it to your workflow. Trading involves risk; tools guide decisions but don’t remove uncertainty.
Disclaimer — Not Financial Advice.
The “Anchored VWAP ” indicator and this description are for educational purposes only and do not constitute financial or investment advice. Markets involve risk, including possible loss of capital. makes no warranties and assumes no responsibility for any trading decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results.
Use Anchored VWAP for the where and when around fair value; let CVDv1 judge who’s pushing, and let Volume Profile v3.2 define targets and edges. That trio stays reliable across any timeframe.
3 Red Heikin Ashi with Higher Lows3 Red Heikin Ashi with Higher Lows will give Buy signal when 3 Red Heikin Ashi with Higher Lows is formed
💎DrFX Diamond Algo 💎Diamond Algo - Multi-Feature Trading System
Advanced trading system combining Supertrend signals with multiple confirmation filters, risk management tools, and a comprehensive market analysis dashboard.
═══ CORE FEATURES ═══
• Smart Buy/Sell signals using modified Supertrend algorithm
• Multi-timeframe trend analysis (M1 to D1)
• Support & Resistance zone detection
• Risk management with automatic TP/SL levels (1:1, 2:1, 3:1)
• Real-time market dashboard with key metrics
• Multiple trend cloud overlays for visual confirmation
═══ SIGNAL GENERATION ═══
BUY Signal:
• Supertrend bullish crossover
• Price above SMA filter
• Optional smart signals (EMA 200 confirmation)
SELL Signal:
• Supertrend bearish crossunder
• Price below SMA filter
• Optional smart signals (EMA 200 confirmation)
═══ DASHBOARD COMPONENTS ═══
• Multi-timeframe trend status (8 timeframes)
• Current position indicator
• Market state analysis (Trending/Ranging/No trend)
• Volatility percentage
• Institutional activity monitor
• Trading session tracker (NY/London/Tokyo/Sydney)
• Trend pressure indicator
═══ VISUAL OVERLAYS ═══
• Trend Cloud: Long-term trend visualization
• Trend Follower: Adaptive trend line
• Comulus Cloud: Dual ALMA-based trend zones
• Cirrus Cloud: Short-term trend bands
• Smart Trail: Fibonacci-based trailing stop
• Dynamic trend lines with breakout alerts
═══ RISK MANAGEMENT ═══
• Automatic Stop-Loss placement (ATR-based)
• Three Take-Profit levels with Risk:Reward ratios
• Entry price labeling
• Optional distance and decimal customization
• Visual lines connecting entry to targets
═══ INPUT PARAMETERS ═══
Sensitivity (1-20): Controls signal frequency
Smart Signals Only: Filters for high-probability setups
Bar Coloring: Trend-based or gradient coloring
Dashboard Location/Size: Customizable placement
Multiple overlay toggles for clean charts
═══ BEST PRACTICES ═══
• Lower sensitivity (1-5) for swing trading
• Higher sensitivity (10-20) for scalping
• Enable Smart Signals for conservative approach
• Use dashboard to confirm multi-timeframe alignment
• Monitor volatility % before entering trades
═══ ALERT CONDITIONS ═══
• Buy Alert: Triggered on bullish signal
• Sell Alert: Triggered on bearish signal
• Trend line breakout alerts (automated)
═══ VERSION INFO ═══
Pine Script: v5
Max Labels: 500
Repainting: Minimal (uses confirmed bars for signals)
```
Volume Based Sampling [BackQuant]Volume Based Sampling
What this does
This indicator converts the usual time-based stream of candles into an event-based stream of “synthetic” bars that are created only when enough trading activity has occurred . You choose the activity definition:
Volume bars : create a new synthetic bar whenever the cumulative number of shares/contracts traded reaches a threshold.
Dollar bars : create a new synthetic bar whenever the cumulative traded dollar value (price × volume) reaches a threshold.
The script then keeps an internal ledger of these synthetic opens, highs, lows, closes, and volumes, and can display them as candles, plot a moving average calculated over the synthetic closes, mark each time a new sample is formed, and optionally overlay the native time-bars for comparison.
Why event-based sampling matters
Markets do not release information on a clock: activity clusters during news, opens/closes, and liquidity shocks. Event-based bars normalize for that heteroskedastic arrival of information: during active periods you get more bars (finer resolution); during quiet periods you get fewer bars (coarser resolution). Research shows this can reduce microstructure pathologies and produce series that are closer to i.i.d. and more suitable for statistical modeling and ML. In particular:
Volume and dollar bars are a common event-time alternative to time bars in quantitative research and are discussed extensively in Advances in Financial Machine Learning (AFML). These bars aim to homogenize information flow by sampling on traded size or value rather than elapsed seconds.
The Volume Clock perspective models market activity in “volume time,” showing that many intraday phenomena (volatility, liquidity shocks) are better explained when time is measured by traded volume instead of seconds.
Related market microstructure work on flow toxicity and liquidity highlights that the risk dealers face is tied to information intensity of order flow, again arguing for activity-based clocks.
How the indicator works (plain English)
Choose your bucket type
Volume : accumulate volume until it meets a threshold.
Dollar Bars : accumulate close × volume until it meets a dollar threshold.
Pick the threshold rule
Dynamic threshold : by default, the script computes a rolling statistic (mean or median) of recent activity to set the next bucket size. This adapts bar size to changing conditions (e.g., busier sessions produce more frequent synthetic bars).
Fixed threshold : optionally override with a constant target (e.g., exactly 100,000 contracts per synthetic bar, or $5,000,000 per dollar bar).
Build the synthetic bar
While a bucket fills, the script tracks:
o_s: first price of the bucket (synthetic open)
h_s: running maximum price (synthetic high)
l_s: running minimum price (synthetic low)
c_s: last price seen (synthetic close)
v_s: cumulative native volume inside the bucket
d_samples: number of native bars consumed to complete the bucket (a proxy for “how fast” the threshold filled)
Emit a new sample
Once the bucket meets/exceeds the threshold, a new synthetic bar is finalized and stored. If overflow occurs (e.g., a single native bar pushes you past the threshold by a lot), the code will emit multiple synthetic samples to account for the extra activity.
Maintain a rolling history efficiently
A ring buffer can overwrite the oldest samples when you hit your Max Stored Samples cap, keeping memory usage stable.
Compute synthetic-space statistics
The script computes an SMA over the last N synthetic closes and basic descriptors like average bars per synthetic sample, mean and standard deviation of synthetic returns, and more. These are all in event time , not clock time.
Inputs and options you will actually use
Data Settings
Sampling Method : Volume or Dollar Bars.
Rolling Lookback : window used to estimate the dynamic threshold from recent activity.
Filter : Mean or Median for the dynamic threshold. Median is more robust to spikes.
Use Fixed? / Fixed Threshold : override dynamic sizing with a constant target.
Max Stored Samples : cap on synthetic history to keep performance snappy.
Use Ring Buffer : turn on to recycle storage when at capacity.
Indicator Settings
SMA over last N samples : moving average in synthetic space . Because its index is sample count, not minutes, it adapts naturally: more updates in busy regimes, fewer in quiet regimes.
Visuals
Show Synthetic Bars : plot the synthetic OHLC candles.
Candle Color Mode :
Green/Red: directional close vs open
Volume Intensity: opacity scales with synthetic size
Neutral: single color
Adaptive: graded by how large the bucket was relative to threshold
Mark new samples : drop a small marker whenever a new synthetic bar prints.
Comparison & Research
Show Time Bars : overlay the native time-based candles to visually compare how the two sampling schemes differ.
How to read it, step by step
Turn on “Synthetic Bars” and optionally overlay “Time Bars.” You will see that during high-activity bursts, synthetic bars print much faster than time bars.
Watch the synthetic SMA . Crosses in synthetic space can be more meaningful because each update represents a roughly comparable amount of traded information.
Use the “Avg Bars per Sample” in the info table as a regime signal. Falling average bars per sample means activity is clustering, often coincident with higher realized volatility.
Try Dollar Bars when price varies a lot but share count does not; they normalize by dollar risk taken in each sample. Volume Bars are ideal when share count is a better proxy for information flow in your instrument.
Quant finance background and citations
Event time vs. clock time : Easley, López de Prado, and O’Hara advocate measuring intraday phenomena on a volume clock to better align sampling with information arrival. This framing helps explain volatility bursts and liquidity droughts and motivates volume-based bars.
Flow toxicity and dealer risk : The same authors show how adverse selection risk changes with the intensity and informativeness of order flow, further supporting activity-based clocks for modeling and risk management.
AFML framework : In Advances in Financial Machine Learning , event-driven bars such as volume, dollar, and imbalance bars are presented as superior sampling units for many ML tasks, yielding more stationary features and fewer microstructure distortions than fixed time bars. ( Alpaca )
Practical use cases
1) Regime-aware moving averages
The synthetic SMA in event time is not fooled by quiet periods: if nothing of consequence trades, it barely updates. This can make trend filters less sensitive to calendar drift and more sensitive to true participation.
2) Breakout logic on “equal-information” samples
The script exposes simple alerts such as breakout above/below the synthetic SMA . Because each bar approximates a constant amount of activity, breakouts are conditioned on comparable informational mass, not arbitrary time buckets.
3) Volatility-adaptive backtests
If you use synthetic bars as your base data stream, most signal rules become self-paced : entry and exit opportunities accelerate in fast markets and slow down in quiet regimes, which often improves the realism of slippage and fill modeling in research pipelines (pair this indicator with strategy code downstream).
4) Regime diagnostics
Avg Bars per Sample trending down: activity is dense; expect larger realized ranges.
Return StdDev (synthetic) rising: noise or trend acceleration in event time; re-tune risk.
Interpreting the info panel
Method : your sampling choice and current threshold.
Total Samples : how many synthetic bars have been formed.
Current Vol/Dollar : how much of the next bucket is already filled.
Bars in Bucket : native bars consumed so far in the current bucket.
Avg Bars/Sample : lower means higher trading intensity.
Avg Return / Return StdDev : return stats computed over synthetic closes .
Research directions you can build from here
Imbalance and run bars
Extend beyond pure volume or dollar thresholds to imbalance bars that trigger on directional order flow imbalance (e.g., buy volume minus sell volume), as discussed in the AFML ecosystem. These often further homogenize distributional properties used in ML. alpaca.markets
Volume-time indicators
Re-compute classical indicators (RSI, MACD, Bollinger) on the synthetic stream. The premise is that signals are updated by traded information , not seconds, which may stabilize indicator behavior in heteroskedastic regimes.
Liquidity and toxicity overlays
Combine synthetic bars with proxies of flow toxicity to anticipate spread widening or volatility clustering. For instance, tag synthetic bars that surpass multiples of the threshold and test whether subsequent realized volatility is elevated.
Dollar-risk parity sampling for portfolios
Use dollar bars to align samples across assets by notional risk, enabling cleaner cross-asset features and comparability in multi-asset models (e.g., correlation studies, regime clustering). AFML discusses the benefits of event-driven sampling for cross-sectional ML feature engineering.
Microstructure feature set
Compute duration in native bars per synthetic sample , range per sample , and volume multiple of threshold as inputs to state classifiers or regime HMMs . These features are inherently activity-aware and often predictive of short-horizon volatility and trend persistence per the event-time literature. ( Alpaca )
Tips for clean usage
Start with dynamic thresholds using Median over a sensible lookback to avoid outlier distortion, then move to Fixed thresholds when you know your instrument’s typical activity scale.
Compare time bars vs synthetic bars side by side to develop intuition for how your market “breathes” in activity time.
Keep Max Stored Samples reasonable for performance; the ring buffer avoids memory creep while preserving a rolling window of research-grade data.
Smart Money Concept v1Smart Money Concept Indicator – Visual Interpretation Guide
What Happens When Liquidity Lines Are Broken
🟩 Green Line Broken (Buy-Side Liquidity Pool Swept)
- Indicates price has dipped below a previous swing low where sell stops are likely placed.
- Market Makers may be triggering these stops to accumulate long positions.
- Often followed by a bullish reversal.
- Trader Actions:
• Look for a bullish candle close after the sweep.
• Confirm with nearby Bullish Order Block or Fair Value Gap.
• Consider entering a Buy trade (SLH entry).
- If price continues falling: Indicates trend continuation and invalidation of the buy-side liquidity zone.
🟥 Red Line Broken (Sell-Side Liquidity Pool Swept)
- Indicates price has moved above a previous swing high where buy stops are likely placed.
- Market Makers may be triggering these stops to accumulate short positions.
- Often followed by a bearish reversal.
- Trader Actions:
• Look for a bearish candle close after the sweep.
• Confirm with nearby Bearish Order Block or Fair Value Gap.
• Consider entering a Sell trade (SLH entry).
- If price continues rising: Indicates trend continuation and invalidation of the sell-side liquidity zone.
Chart-Based Interpretation of Green Line Breaks
In the provided DOGE/USD 15-minute chart image:
- Green lines represent buy-side liquidity zones.
- If these lines are broken:
• It may be a stop hunt before a bullish continuation.
• Or a false Break of Structure (BOS) leading to deeper retracement.
- Confirmation is needed from candle structure and nearby OB/FVG zones.
Is the Pink Zone a Valid Bullish Order Block?
To validate the pink zone as a Bullish OB:
- It should be formed by a strong down-close candle followed by a bullish move.
- Price should have rallied from this zone previously.
- If price is now retesting it and showing bullish reaction, it confirms validity.
- If formed during low volume or price never rallied from it, it may not be valid.
Smart Money Concept - Liquidity Line Breaks Explained
This document explains how traders should interpret the breaking of green (buy-side) and red (sell-side) liquidity lines when using the Smart Money Concept indicator. These lines represent key liquidity pools where stop orders are likely placed.
🟩 Green Line Broken (Buy-Side Liquidity Pool Swept)
When the green line is broken, it indicates:
• - Price has dipped below a previous swing low where sell stops were likely placed.
• - Market Makers have triggered those stops to accumulate long positions.
• - This is often followed by a bullish reversal.
Trader Actions:
• - Look for a bullish candle close after the sweep.
• - Confirm with a nearby Bullish Order Block or Fair Value Gap.
• - Consider entering a Buy trade (SLH entry).
🟥 Red Line Broken (Sell-Side Liquidity Pool Swept)
When the red line is broken, it indicates:
• - Price has moved above a previous swing high where buy stops were likely placed.
• - Market Makers have triggered those stops to accumulate short positions.
• - This is often followed by a bearish reversal.
Trader Actions:
• - Look for a bearish candle close after the sweep.
• - Confirm with a nearby Bearish Order Block or Fair Value Gap.
• - Consider entering a Sell trade (SLH entry).
📌 Additional Notes
• - If price continues beyond the liquidity line without reversal, it may indicate a trend continuation rather than a stop hunt.
• - Always confirm with Higher Time Frame bias, Institutional Order Flow, and price reaction at the zone.
Liquidity Spectrum Visualizer [BigBeluga] [Optimized]This version of Liquidity Spectrum Visualizer (© BigBeluga) has been optimized to improve execution speed and reduce script load times without altering the visual output or analytical logic of the original indicator. The key improvements focus on reducing computational complexity, eliminating redundant calculations, and minimizing expensive function calls within loops.
Core Optimization Changes
Single-Pass Volume Binning (O(N) instead of O(N×M))
Original: For each bin (100) the script iterated through every bar (lookback), resulting in ~20,000 operations.
Optimized: Each bar is processed once to directly calculate its bin index. This reduces the loop complexity from O(N×M) to O(N), where N = lookback.
Precomputed Min/Max Values
Original: array.min() and array.max() were repeatedly called inside loops, re-scanning arrays hundreds of times.
Optimized: Min and max are computed once before all calculations and reused, reducing computational overhead.
Reduced Label Creation
Original: Labels were created in every iteration, potentially hundreds of times per update — a very expensive operation in Pine.
Optimized: Only two labels are created for significant high and low levels, cutting down label calls by ~99%.
Efficient Resource Management
All boxes and lines are cleared once before re-rendering instead of being deleted individually inside nested loops.
Optional gradient rendering and POC drawing remain, but only after binning is complete.
Performance Evaluation
The most important change is the reduction of loop complexity — instead of performing around 20,000 iterations per update, the optimized version now processes only about 200. This reduces execution time and makes the indicator much lighter.
Function calls such as min() and max() are now calculated only once instead of hundreds of times, which removes unnecessary overhead. Likewise, label creation has been reduced from hundreds of labels per refresh to just two, further improving performance.
As a result, the average loading time of the indicator dropped from roughly 1.5–3 seconds to about 0.05–0.2 seconds on typical datasets.
Long Elite Squeeze (LES 2.1) NV/CDV AI LindsayLES 2.1 — Long Elite Squeeze
Creator: Hunter Hammond •: Elite × FineFir H.H (AI “Lindsay”)
Discord: elitexfinefir
LES (“Long Elite Squeeze”) is a momentum + flow-aware long strategy built for small-float, high-velocity stocks. It blends a classic squeeze engine (BB/KC), adaptive RVOL/RSI gating, VWAP slope, ADX trend filtering, WaveTrend timing, and new Net-Volume/CVD flow exits—all wrapped with on-chart HUDs, a trade tracker, trap detection, and a lightweight AI selector to adapt entries to live conditions.
Who it’s for (and where it thrives)
LES 2.1 is tuned for the morning session and stocks that can really move:
Top Pre-Market and Day Gainers
Highest or Top Volume on Day
Float: ≤ 40M
Price: ≤ $20
Volume: ≥ 5× the 30-day average (intraday RVOL pop)
Catalyst: ideally a fresh news driver / “day gainer”
Timeframe: 1-minute (designed & tuned for 1m). Works on 2m/3m/5m, but wasn’t specifically designed for them (see tuning tips below).
Evolution at a glance
LES 1.0 — The foundation
Squeeze engine using Bollinger vs. Keltner to detect expansion (“squeeze OFF”).
EMA – ATR offset line (dynamic risk anchor) with EMA as trend filter.
RSI guard for overheated moves.
RVOL confirmation using average volume lookback.
WaveTrend (WT + Signal) to time entries/exits.
Basic buy/sell logic + simple on-chart labels.
LES 2.0 — Quality-of-life & timing upgrades
AI Lindsay assistant v2 (periodic / contextual commentary).
VWAP Slope Detector with sensitivity modes (Loose → Very Strict).
Manual defaults pre-tuned for ease of use.
Double-EMA trailing (visual take-profit helper).
Improved on-chart commentary and Trade Summary (10:30am snapshot).
AI Version Suggester (V1/V2/V3 modes) with stickiness/cooldown.
Trap Detector Pro (sweep, VWAP reject, blow-off, etc.) with scored severity.
Trade Tracker HUD + Entry Checklist HUD.
Overall stability & UX polish.
LES 2.1 — Flow-based exit superpowers
New Flow Exit: integrates 1m Net Volume and 5m CVD-style pressure:
1m NetVol window (rolling sum of signed volume)
5m CVD window (downsampled, smoothed)
Debounce (consecutive red bars to avoid one-tick fakes)
Optional ATR Guard (only exit if the move is meaningful vs ATR)
Cooldown after a flow exit to avoid re-chop
Chart labels: “SELL (NV/CVD)” when flow triggers
Keeps you in good trends, but kicks you out when aggressive sellers actually show up.
How the engine works (plain English)
Market prep: We confirm trend & energy using EMA/ATR, RSI, RVOL, Squeeze OFF, and Price > VWAP.
Entry mode (V1/V2/V3):
V1 — Balanced trades (default “safe” behavior)
V2 — Fast trades (more aggressive when action heats up)
V3 — Trending trades (stricter; waits for strong slope & trend)
You can pick a version manually or let the AI Suggester switch modes based on slope/ADX/RVOL/acceleration (with a cooldown so it doesn’t flip-flop).
Entry timing: WaveTrend and squeeze momentum improve timing while VWAP slope avoids buying flat tape.
Risk anchor: The EMA – (ATR × Multiplier) “offset line” is your dynamic stop/line in the sand.
Exits:
Base exits (version-aware): WT crossback, momentum fade, price losing offsetLine or EMA.
Flow Exit (2.1): If 1m NetVol and 5m CVD both turn decisively red (with debounce and optional ATR guard), close—no arguing.
Entry rules (exactly what has to be true)
Buy (Core) — fires when all are true:
Not already in a trade
Close > EMA and Close > OffsetLine (offsetLine = EMA − ATR × Mult)
RVOL confirmed (meets dynamic RVOL multiplier)
RSI below the overbought ceiling (version-aware slack in V3)
Squeeze OFF (BBs expanded outside Keltner)
Price > VWAP (toggleable)
Extra for V3 (Trending trades):
VWAP slope gate passes (and, if set, VWAP must be green)
ADX strong (≥ 25 by design, ≥ 20 baseline)
Minimum slopePctPerBar met (default V3 expects ≥ 0.05%/bar)
AI Suggester (optional):
Scores V1/V2/V3 from conditions like ADX, VWAP slope, RVOL, intrabar acceleration, then locks a pick for aiSwitchCoolBars bars.
On-chart help:
Checklist HUD lights up ✅/❌ for each gate (EMA, ATR, RVOL, RSI, VWAP, Slope, etc.).
Trade Quality Rating (🌟x/10) appears on buy bars if enabled.
Exit rules (every sell condition)
Base sells (V1/V2):
WaveTrend crossback (signal crosses over WT) OR
Momentum fade (two darker squeeze momentum bars) OR
Close < OffsetLine OR Close < EMA
Base sells (V3):
Close < OffsetLine OR Close < EMA (trend-respecting; ignores WT/momentum so you’re not shaken out early)
Flow Exit (2.1, applies to all versions if enabled):
In trade AND Flow Exit enabled
1m NetVol window is red (and ≥ Min |NetVol|)
5m CVD (smoothed) is red
**Deb
*** FYI: Play with settings until it fits your style, everything thats set default when script is loaded is what I run currently. I made LES 2.1 more customizable than ever to meet every trades style and execution. LES 2.1 with Lindsay upgrade new AI trade tracking feature (when enabled) and risk management LES 2.1 is something special to meet many challenges a trader faces everyday.
Fixed-Range Volume-Profile ZonesFixed Range Volume Profile Zones (with Dynamic Percentile Buffers)
This indicator calculates a fixed‑range volume profile over a user‑defined lookback period and identifies three key zones:
– VAL (Value Area Low)
– POC (Point of Control)
– VAH (Value Area High)
Volume is grouped into user‑selected price bins to create a profile of where the most trading activity occurred.
The script then splits the distribution into three zones and highlights the extremes (VAL/VAH) and the highest‑volume price (POC).
Dynamic Percentile Buffers
Instead of static offsets, this version computes the 10th and 90th percentile prices (user‑adjustable) of recent closes over the same lookback window.
These percentiles are used to create adaptive buffers above VAH and below VAL.
The buffers automatically expand or contract with market volatility and recent price distribution, filtering out weak or noisy touches.
Visual Elements:
– Green/orange/red horizontal lines = VAL / VAH / POC
– Green shading below VAL = buy zone
– Red shading above VAH = sell zone
– Down arrows above bars = closes above VAH + buffer
– Up arrows below bars = closes below VAL – buffer
Inputs:
– Lookback Days: number of bars used to build the profile
– Number of Bins: controls resolution of the volume profile
– VAH Percentile and VAL Percentile: choose which percentile levels to use for dynamic buffers
Use Cases:
– Quickly identify areas of high participation (POC) and potential support/resistance (VAL/VAH)
– Filter out weak breakouts using dynamic buffers
– Combine with other signals to improve entries/exits
⚠️ Disclaimer:
This script is for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Past performance or historical data does not guarantee future results.
Always perform your own analysis and use risk management when trading.
VWAP / ORB / VP & POCThis is an all-in-one technical analysis tool designed to give you a comprehensive view of the market on a single chart. It combines three powerful indicators—VWAP, Opening Range, and Volume Profile—to help you identify key price levels, understand intraday trends, and spot areas of high liquidity.
What It Does
The indicator plots three distinct components on your chart:
Volume-Weighted Average Price (VWAP): A benchmark that shows the average price a security has traded at throughout the day, based on both price and volume. It's often used by institutional traders to gauge whether they are getting a good price. The script also plots standard deviation or percentage-based bands around the VWAP line, which can act as dynamic support and resistance.
Opening Range Breakout (ORB): A tool that highlights the high and low of the initial trading period of a session (e.g., the first 15 minutes). The script draws lines for the opening price, range high, and range low for the rest of the session. It also colors the chart with zones to visually separate price action above, below, and within this critical opening range.
Volume Profile (VP): A powerful study that shows trading activity over a set number of bars at specific price levels. Unlike traditional volume that is plotted over time, this is plotted on the price axis. It helps you instantly see where the most and least trading has occurred, identifying significant levels like the Point of Control (POC)—the single price with the most volume—and the Value Area (VA), where the majority of trading took place.
How to Use It for Trading
The real strength of this indicator comes from finding confluence, where two or more of its components signal the same key level.
Identifying Support & Resistance: The POC, VWAP bands, Opening Range high/low, and session open price are all powerful levels to watch. When price approaches one of these levels, you can anticipate a potential reaction (a bounce or a breakout).
Gauging Intraday Trend: A simple rule of thumb is to consider the intraday trend bullish when the price is trading above the VWAP and bearish when it is trading below the VWAP.
Finding High-Value Zones: The Volume Profile’s Value Area (VA) shows you where the market has accepted a price. Trading within the VA is considered "fair value," while prices outside of it are "unfair." Reversals often happen when the price tries to re-enter the Value Area from the outside.
Settings:
Here’s a breakdown of all the settings you can change to customize the indicator to your liking.
Volume Profile Settings:
Number of Bars: How many of the most recent bars to use for the calculation. A higher number gives a broader profile.
Row Size: The number of price levels (rows) in the profile. Higher numbers give a more detailed, granular view.
Value Area Volume %: The percentage of total volume to include in the Value Area (standard is 70%).
Horizontal Offset: Moves the Volume Profile further to the right to avoid overlapping with recent price action.
Colors & Styles: Customize the colors for the POC line, Value Area, and the up/down volume bars.
VWAP Settings:
Anchor Period: Resets the VWAP calculation at the start of a new Session, Week, Month, Year, etc. You can even anchor it to corporate events like Earnings or Splits.
Source: The price source used in the calculation (default is hlc3, the average of the high, low, and close).
Bands Calculation Mode:
Standard Deviation: The bands are based on statistical volatility.
Percentage: The bands are a fixed percentage away from the VWAP line.
Bands Multiplier: Sets the distance of the bands from the VWAP. You can enable and configure up to three sets of bands.
ORB Settings (Opening Range)
Opening Range Timeframe: The duration of the opening range (e.g., 15 for 15 minutes, 60 for the first hour).
Market Session & Time Zone: Crucial for ensuring the range is calculated at the correct time for the asset you're trading.
Line & Zone Styles: Full customization for the colors, thickness, and style (Solid, Dashed, Dotted) of the High, Low, and Opening Price lines, as well as the background colors for the zones above, below, and within the range.
HUNT_line [Dr.Forexy]HUNT_line Indicator
📊 **Category:** Price Action & Market Structure
⏰ **Recommended Timeframe:** 5-minute and higher
🎯 **Purpose:** Advanced market structure visualization for professional traders
⸻
⚡ **Key Features:**
• Break of Structure (BOS) and Change of Character (CHOCH) detection
• Internal & Swing Market Structure analysis
• Order Blocks identification with smart filtering
• Fair Value Gaps (FVG) visualization
• Premium/Discount Zones
• Multi-timeframe support
• Real-time structure alerts
⸻
🛠 **How to Use:**
1. Apply on 5M or higher timeframes for best results
2. Monitor BOS/CHOCH for trend direction changes
3. Use Order Blocks as potential support/resistance areas
4. Watch for FVG fills as price inefficiency zones
5. Combine multiple confluences for higher probability setups
⸻
⚠️ **Risk Disclaimer:**
This indicator is for educational purposes only.
Not financial advice. Always conduct your own research.
⸻
🔹 **Credits:**
Inspired by LuxAlgo's "Smart Money Concepts" with custom improvements
Engulfing Pattern Scanner with RSI FilterEngulfing Pattern Scanner with RSI Filter
This indicator identifies high-probability engulfing patterns using multiple confirmation filters including candle stability, RSI divergence, and price momentum over a specified period.
═══ INDICATOR LOGIC ═══
BUY Signal Generated When:
• Bullish engulfing pattern forms
• Candle stability exceeds threshold (body/wick ratio)
• RSI is below oversold threshold
• Price has decreased over the delta period
• Bar is confirmed (no repainting)
SELL Signal Generated When:
• Bearish engulfing pattern forms
• Candle stability exceeds threshold
• RSI is above overbought threshold
• Price has increased over the delta period
• Bar is confirmed (no repainting)
═══ KEY FEATURES ═══
• Candle Stability Index (0-1): Filters out unstable/noisy candles
• RSI Index (0-100): Confirms momentum conditions
• Candle Delta Length: Defines lookback period for price movement
• Disable Repeating Signals: Removes consecutive same-direction signals
• Multiple visual styles: Text bubbles, triangles, or arrows
• Customizable colors and label sizes
• Built-in alert conditions
═══ INPUT PARAMETERS ═══
Candle Stability Index (0.5 default): Higher values require more decisive candles
RSI Index (50 default): Threshold for overbought/oversold conditions
Candle Delta Length (5 default): Bars to measure price change
Label customization: Size, style, and colors
═══ HOW TO USE ═══
1. Add indicator to chart
2. Adjust technical parameters based on market volatility
3. Set visual preferences for signal display
4. Create alerts using the built-in conditions
5. Higher Candle Stability = fewer but higher quality signals
6. Lower RSI Index = more conservative entry points
═══ BEST PRACTICES ═══
• Use on higher timeframes (4H+) for swing trading
• Combine with support/resistance for confluence
• Test parameters on historical data before live trading
• Consider market conditions when adjusting filters
═══ VERSION INFO ═══
Pine Script: v5
Repainting: No (uses barstate.isconfirmed)
Max Labels: 500
```
Volume PivotOVERVIEW
Volume Pivot is a technical analysis tool for TradingView designed to identify key turning points in the market by focusing on volume rather than price. It detects peaks and troughs (pivots) in trading volume to pinpoint moments of maximum market interest or exhaustion.
This indicator performs its analysis on both the Current Timeframe (CTF) and a user-defined Higher Timeframe (HTF). This dual-perspective approach allows traders to simultaneously grasp short-term market reactions and long-term structural shifts, leading to more informed and high-conviction trading decisions.
FEATURES
Automatic Pivot Detection
Automatically identifies and plots Volume Pivot Highs (peaks) and Pivot Lows (troughs) based on a user-defined Lookback Length.
Dual Timeframe Display
- CTF Signals : Plotted as tiny circles directly above the corresponding volume bars for immediate, short-term context.
- HTF Signals : Plotted as slightly larger circles at the bottom of the indicator pane, making them easy to distinguish as signals of higher significance.
Flexible HTF Configuration
Customize which higher timeframe to use for analysis based on your current chart timeframe. For example, you can set the indicator to reference the 1-hour chart as the HTF when you are on the 5-minute chart, and the Daily chart as the HTF when you are on the 1-hour chart.
Intuitive Volume Bars
The volume bars are color-coded to show whether volume is increasing (bullish color) or decreasing (bearish color) compared to the previous bar, offering a quick visual gauge of market momentum.
Full Customization
Easily toggle the visibility of CTF and HTF signals and customize the colors for bullish and bearish pivots to match your charting preferences.
Actually Engulfing CandlesticksThis thing attempts to find price reversals with actually engulfing candlesticks with volume spikes and RSI values as confirmation. It works well on mean reverting assets I guess.
Green dots below bars = bullish reversal
Fuchsia dots above bars = bearish reversal
Have fun!
Anchored VWAP + Prev Session Levels by Avenoircustom vwap for weekly, monthly, quarterly and yearly vawp.
also highlighting previous vwaps.
VWAP Daily/Weekly/Monthly - Automatic AnchoredExplanation:
This script plots Volume-Weighted Average Price (VWAP) lines that are automatically anchored to the beginning of key timeframes — daily, weekly, and monthly. VWAP is a widely used trading indicator that shows the average price of an asset weighted by trading volume, making it useful for identifying fair value and institutional trading levels.
The “automatic anchored” feature means that you don’t have to manually select starting points. Instead, the script automatically resets the VWAP at the start of each day, week, or month, depending on the chosen setting. This ensures the VWAP always reflects the true average price for that period, providing traders with a consistent reference for support, resistance, and trend direction across multiple timeframes.
Notice:
On the chart, you may notice visible “jumps” in the VWAP lines. These are intentional. Each jump marks the reset point at the start of a new day, week, or month, depending on the selected setting. This design keeps the VWAP history from the previous period intact, allowing you to clearly see how price interacted with VWAP in past sessions.
By keeping these historical resets, you can easily compare short-term (daily) VWAP behavior against longer-term levels like weekly and monthly VWAP. This provides valuable context, helping you spot when price respects or diverges from fair value across different timeframes.
In short:
Daily VWAP resets at the start of each trading day.
Weekly VWAP resets at the beginning of each trading week.
Monthly VWAP resets at the start of each month.
This makes it easy to analyze how price interacts with VWAP levels across different time horizons without manual adjustments.
Swing Dashboard - Pro Trader Metrics with MTF & Enhanced VolumeDESCRIPTION:
A comprehensive real-time dashboard designed for swing traders and active investors trading US equities. Displays all critical metrics in one customizable panel overlay - no need to clutter your chart with multiple indicators.
KEY FEATURES:
📊 Relative Strength Analysis:
Stock vs Market (SPY/QQQ/IWM/DIA)
Stock vs Sector (automatic sector ETF detection)
Sector vs Market comparison
Customizable lookback period (5-60 days)
📈 Price & Range Metrics:
Daily range, change, and gap percentages
Distance from SMA20, SMA50, VWAP
52-week position percentage
ATR% and ADR% for volatility assessment
Range/ADR ratio for breakout detection
💪 Advanced Volume Analysis:
RVOL (full day volume vs 20-day average)
Volume Strength (bar-by-bar analysis)
Volume Trend (5-day vs 20-day momentum)
Customizable RVOL alert thresholds
Non-repainting volume calculations
⚙️ Multi-Timeframe (MTF) Mode:
View daily charts with 5-min or 15-min metric updates
Perfect for monitoring positions without switching timeframes
All calculations remain accurate across timeframes
🎨 Fully Customizable:
Choose which metrics to display
9 position options for the dashboard
Adjustable text size and colors
Toggle individual metrics on/off
Sector-specific ETF mapping for accurate RS calculations
TECHNICAL SPECIFICATIONS:
✅ Non-repainting - all calculations use confirmed bar data
✅ No lookahead bias or future data
✅ Optimized for US stocks with proper sector mapping
✅ Works on any timeframe (best on 5m-Daily)
✅ Pine Script v6 with best practices
✅ Handles edge cases and missing data gracefully
IDEAL FOR:
Swing traders monitoring multiple positions
Day traders needing quick metric overview
Investors tracking relative strength and momentum
Anyone who wants institutional-grade metrics in one place
SECTOR ETF MAPPING:
Automatically maps to correct sector ETFs: XLK, XLF, XLV, XLY, XLP, XLE, XLB, XLI, XLRE, XLC, XLU
HOW TO USE:
Green = Positive/Strong | Red = Negative/Weak | White = Neutral
RS > 0 = Outperforming benchmark/sector
RVOL > 1.5x = High volume day
VWAP% negative = Price below VWAP (mean reversion opportunity)
R/ADR > 100% = Extended range (potential exhaustion)
Perfect for traders who need professional-grade analysis without chart clutter.
TAGS:
dashboard, swing, relativestrengrh, sectoranalysis, volume, rvol, multitimeframe, mtf, tradingdashboard, metrics, daytrading, swingtrading, momentum, vwap, atr, volatility, volumeanalysis
RVol+ Enhanced Relative Volume Indicator📊 RVol+ Enhanced Relative Volume Indicator
Overview
RVol+ (Relative Volume Plus) is an advanced time-based relative volume indicator designed specifically for swing traders and breakout detection. Unlike simple volume comparisons, RVol+ analyzes volume at the same time of day across multiple sessions, providing statistically significant insights into institutional activity and breakout potential.
🎯 Key Features
Core Volume Analysis
Time-Based RVol Calculation - Compares current cumulative volume to the average volume at this exact time over the past N days
Statistical Z-Score - Measures volume in standard deviations from the mean for true anomaly detection
Volume Percentile - Shows where current volume ranks historically (0-100%)
Sustained Volume Filter - 3-bar moving average prevents false signals from single-bar spikes
Breakout Detection
🚀 Confirmed Breakouts - Identifies price breakouts validated by high volume (RVol > 1.5x)
⚠️ False Breakout Warnings - Alerts when price breaks key levels on low volume (high failure risk)
Multi-Timeframe Context - Weekly volume overlay prevents chasing daily noise
Advanced Metrics
OBV Divergence Detection - Spots bullish/bearish accumulation/distribution patterns
Volume Profile Integration - Identifies institutional positioning
Money Flow Analysis - Tracks smart money vs retail activity
Extreme Volume Alerts - 🔥 Labels mark unusual spikes beyond the display cap
Visual Intelligence
Smart Color Coding:
🟢 Bright Teal = High activity (RVol ≥ 1.5x)
🟡 Medium Teal = Caution zone (RVol ≥ 1.2x)
⚪ Light Teal = Normal activity
🟠 Orange = Breakout confirmed
🔴 Red = False breakout risk
Comprehensive Stats Table:
Current Volume (formatted as M/K/B)
RVol ratio
Z-Score with significance
Volume percentile
Historical average and standard deviation
Sustained volume confirmation
📈 How to Use
For Swing Trading (1D - 3W Holds)
Perfect Setup:
✓ RVol > 1.5x (bright teal)
✓ Z-Score > 2.0 (⚡ alert)
✓ Percentile > 90%
✓ Sustained = ✓
✓ 🚀 Breakout label appears
Avoid:
✗ Red "Low Vol" warning during breakouts
✗ RVol < 1.0 at key levels
✗ Sustained volume not confirmed
Signal Interpretation
⚡ Z>2 Labels - Statistically significant volume (95th+ percentile) - highest probability moves
↗️ OBV+ Labels - Bullish accumulation (OBV rising while price consolidates)
↘️ OBV- Labels - Bearish distribution (OBV falling while price rises)
🔵 Blue Background - Weekly volume elevated (confirms daily strength)
⚙️ Customization
Basic Settings
N Day Average - Number of historical days for comparison (default: 5)
RVol Thresholds - Customize highlight levels (default: 1.2x, 1.5x)
Visual Display Cap - Prevent extreme spikes from compressing view (default: 4.0x)
Advanced Metrics (Toggle On/Off)
Z-Score analysis
Weekly RVol context
OBV divergence detection
Volume percentile ranking
Breakout signal generation
Table Customization
Position - 9 placement options to avoid chart overlap
Size - Tiny to Huge
Colors - Full customization of positive/negative/neutral values
Transparency - Adjustable background
Debug Mode
Enable Pine Logs for calculation transparency
Adjustable log frequency
Real-time calculation breakdown
🔬 Technical Details
Algorithm:
Binary search for historical lookups (O(log n) performance)
Time-zone aware session detection
DST-safe timestamp calculations
Exponentially weighted standard deviation
Anti-repainting architecture
Performance:
Optimized for max_bars_back = 5000
Efficient array management
Built-in function optimization
Memory-conscious data structures
📊 What Makes RVol+ Different?
vs. Standard Volume:
Context-aware (time-of-day matters)
Statistical significance testing
False breakout filtering
vs. Basic RVol:
Z-Score normalization (2-3 sigma detection)
Multi-timeframe confirmation
OBV divergence integration
Sustained volume filtering
Smart visual scaling
vs. Professional Tools:
Free and open-source
Fully customizable
No black-box algorithms
Educational debug logs
💡 Best Practices
Wait for Confirmation - Don't enter on first bar; wait for sustained volume ✓
Combine with Price Action - RVol validates, price structure determines entry
Weekly Context Matters - Blue background = institutional interest
Z-Score is King - Focus on ⚡ alerts for highest probability
Avoid Low Volume Breakouts - Red ⚠️ labels = high failure risk
🎓 Trading Psychology
Volume precedes price. When RVol+ shows:
High RVol + Rising OBV = Accumulation before breakout
High RVol at Resistance = Test of conviction
Low RVol on Breakout = Retail-driven (fade candidate)
Z-Score > 3 = Potential "whale" positioning
📝 Credits
Based on the time-based RVol concept from /u/HurlTeaInTheSea, enhanced with:
Statistical analysis (z-scores, percentiles)
Multi-timeframe integration
OBV divergence detection
Professional-grade visualization
Swing trading optimization
🔧 Version History
v2.0 - Enhanced Edition
Added Z-Score analysis
Multi-timeframe volume context
OBV divergence detection
Breakout confirmation system
Smart color coding
Customizable stats table
Debug logging mode
Performance optimizations
📚 Learn More
For optimal use with swing trading:
Combine with support/resistance levels
Watch for volume clusters in consolidation
Use weekly timeframe for trend confirmation
Monitor OBV divergence for early warnings
⚠️ Disclaimer
This indicator is for educational purposes. Volume analysis is one component of trading decisions. Always use proper risk management, consider multiple timeframes, and validate signals with price structure. Past performance does not guarantee future results.
🚀 Getting Started
Add indicator to chart
Adjust "N Day Average" to your preference (5-10 days typical)
Position stats table to avoid overlap
Enable features you want to monitor
Watch for 🚀 breakout confirmations!
Happy Trading! 📈
CNagda-MomentumX - Institutional FlowMomentumX is designed to empower traders with a deeper understanding of market movements by focusing on Institutional Flow and advanced market structure analytics. The core goal is to identify and visualize where major market participants are operating, and to translate these complex footprints into clear, actionable trading signals — all in real time.
Real-time institutional activity mapping
Actionable entry and exit signals based on live market structure
Intuitive dashboard and dynamic chart visuals
Fully customizable modules for trend, liquidity, and order blocks
Core Logic Design
At the heart of MomentumX lies a robust algorithmic engine built to capture and surface institutional trading behavior. By leveraging advanced mathematical models, the indicator calculates institutional volume ratios and price momentum to pinpoint aggressive moves from large participants.
Institutional Volume & Price Momentum:
Utilizes custom volume indicators and price change analysis to detect strong buying or selling pressure, filtering out retail noise.
Liquidity Grab Detection & Activity Zones:
The script identifies liquidity grabs by monitoring abrupt price sweeps at major support/resistance levels—often where institutions trigger stop hunts or reversals. All critical activity zones are automatically color-coded on the chart for instant recognition.
Dashboard Visualization:
A fully dynamic dashboard table overlays live scores for accumulation, distribution, strength, and weakness—giving traders a real-time scan of market health.
Trendline & Order Block Architecture:
The logic auto-detects pivot highs/lows to draw smart trendlines, while the order block system highlights key reversal areas and breaker zones—making market structure clear and actionable.
MomentumX is packed with high-performance modules, each engineered to simplify complex market behavior and enhance decision-making for traders:
Institutional Flow Signals:
Instantly identifies spots where institutional players drive momentum, using unique volume and price activity analytics.
Bullish/Bearish Liquidity Grab Detection:
Marks abrupt price moves that signal stop hunts or reversals, letting traders anticipate snap-backs or trend shifts.
Trendline Auto-Detection:
Smartly draws trendlines based on significant swing highs and lows, automatically adjusting as price evolves.
Order Block System (Rejection/Breaker):
Spots and highlights key reversal zones with order block rectangles, confirming rejections or breakouts at strategic levels.
Dashboard and Bar Coloring:
A clean dashboard overlay presents live market scores, while dynamic bar coloring makes trend, strength, and high-activity periods instantly visible.
User Input Toggles for Each Module:
Every major feature is fully customizable—enable or disable modules to match individual trading setups or preferences.
Scripting/Development
MomentumX’s scripting process is modular, enabling clarity, scalability, and fast optimization throughout development:
Initialization & Inputs:
Start by defining all user input options, module toggles, color settings, and calculation parameters—ensuring maximum flexibility early on.
Core Calculation Functions:
Script advanced institutional volume and price momentum algorithms. Build out swing length logic, market state filters, and activity scoring methods.
Detection Engines:
Develop and integrate engines for liquidity grabs, automated trendline detection, and order block identification—each with dedicated functions for speed and precision.
Visual Overlays & Plotting:
Implement powerful plotting logic for colored bars, score dashboards, trendlines, reversal zones, and liquidity markers—making every data point clear and actionable on the chart.
Testing Handlers:
Add diagnostic panels and debug outputs to refine calculations and assure accuracy in every market environment.
Sample Trade Setups (Usage)
Cnagda MomentumX delivers clarity for multiple trading styles by providing timely, actionable setups grounded in institutional behavior and market structure. Here’s how traders can leverage the indicator for confident decision-making:
Liquidity Grab Reversal
Enter trades around detected liquidity grabs when price sweeps major support/resistance and the dashboard signals a momentum shift.
Example: Wait for a bullish/Bearish grab near market lows/high, with institutional flow turning positive/negative—enter long/short for potential mean reversion.
Order Block Breakout
Trade breakouts when price cleanly rejects or flips key order block zones highlighted on the chart.
Example: Short at a marked breaker block after a rejection signal, confirmed by a downward institutional activity spike.
Trendline Continuation
Ride established market moves by entering on trendline confirmations plotted by the auto-detect system.
Example: Go long after a trendline retest, confirmed by a green bar color and dashboard strength score.
Dashboard Confirmation
Combine dashboard metrics (strength, accumulation, distribution) with bar color overlays for multi-factor entries.
Example: Enter trades only when all market signals align in real time for maximum probability.
For Short Entry check -- Weakness : For Long Entry Check - Strength With Other Indications
MomentumX is not just another indicator – it’s your edge for reading the market like an insider. By transparently mapping institutional flow, uncovering hidden liquidity zones, and color-coding every major structure shift, MomentumX transforms complexity into actionable clarity. Whether you’re scalping, swing trading, or investing, you’ll gain a decisive, real-time advantage on every chart.
Embrace smarter decisions, adapt to changing market conditions instantly, and join a new generation of technically empowered traders.
Customize, observe, and let the market reveal opportunities in a way you’ve never experienced before.
Happy Trading
