Inside Bar + Volume + MAs + RVol + Volume MilestonesDisplays :
Inside bar near 10 MA
Power volume
MA's
RVOL
HVQ/Y/E
Plots line on Tight Bar closing within 1.5%
RS movement compared to BM & Self
Volatilite
Wolf long or short this indicator is based on RSI, Stoch, BB , this indicator is giving a better understanding of short or long combined with 3 indicator
PLAIN VAMSThe PLAIN VAMS (Volatility-Adjusted Momentum Score) is a visual tool designed to help traders identify momentum shifts relative to prevailing volatility conditions. Unlike traditional momentum indicators, VAMS adapts dynamically to price fluctuations by comparing current price levels to volatility-based boundaries derived from customizable moving averages.
Key Features:
- Volatility-Adjusted Zones: Prices are evaluated against upper and lower dynamic boundaries, signaling potential overbought or oversold momentum conditions.
Two Modes:
- PLAIN VAMS (default): Uses a longer lookback period for smoother, trend-following behavior.
- RAW VAMS: A shorter lookback for high-sensitivity, intraday or scalping setups.
Customizable Moving Averages:
Choose from multiple MA types (EMA, SMA, WMA, etc.) to match your strategy preferences.
Visual Clarity:
- Color-coded candles for quick signal recognition.
- Optional background shading for immediate context.
- Boundary lines to define momentum thresholds.
How It Works:
The script calculates a moving average (based on user-selected type and period) and applies an upper and lower multiplier to create dynamic price boundaries. When price closes beyond these bands, it suggests a strong directional momentum move. The indicator is fully customizable to adapt to your trading style and timeframe.
Use Cases:
- Identify potential breakouts or trend continuations.
- Filter entries/exits based on momentum strength.
- Combine with other tools for confirmation in your strategy.
This indicator does not repaint or use future-looking data. It’s designed for discretionary and systematic traders looking for an adaptive way to visualize momentum relative to market volatility.
Seasonality Monte Carlo Forecaster [BackQuant]Seasonality Monte Carlo Forecaster
Plain-English overview
This tool projects a cone of plausible future prices by combining two ideas that traders already use intuitively: seasonality and uncertainty. It watches how your market typically behaves around this calendar date, turns that seasonal tendency into a small daily “drift,” then runs many randomized price paths forward to estimate where price could land tomorrow, next week, or a month from now. The result is a probability cone with a clear expected path, plus optional overlays that show how past years tended to move from this point on the calendar. It is a planning tool, not a crystal ball: the goal is to quantify ranges and odds so you can size, place stops, set targets, and time entries with more realism.
What Monte Carlo is and why quants rely on it
• Definition . Monte Carlo simulation is a way to answer “what might happen next?” when there is randomness in the system. Instead of producing a single forecast, it generates thousands of alternate futures by repeatedly sampling random shocks and adding them to a model of how prices evolve.
• Why it is used . Markets are noisy. A single point forecast hides risk. Monte Carlo gives a distribution of outcomes so you can reason in probabilities: the median path, the 68% band, the 95% band, tail risks, and the chance of hitting a specific level within a horizon.
• Core strengths in quant finance .
– Path-dependent questions : “What is the probability we touch a stop before a target?” “What is the expected drawdown on the way to my objective?”
– Pricing and risk : Useful for path-dependent options, Value-at-Risk (VaR), expected shortfall (CVaR), stress paths, and scenario analysis when closed-form formulas are unrealistic.
– Planning under uncertainty : Portfolio construction and rebalancing rules can be tested against a cloud of plausible futures rather than a single guess.
• Why it fits trading workflows . It turns gut feel like “seasonality is supportive here” into quantitative ranges: “median path suggests +X% with a 68% band of ±Y%; stop at Z has only ~16% odds of being tagged in N days.”
How this indicator builds its probability cone
1) Seasonal pattern discovery
The script builds two day-of-year maps as new data arrives:
• A return map where each calendar day stores an exponentially smoothed average of that day’s log return (yesterday→today). The smoothing (90% old, 10% new) behaves like an EWMA, letting older seasons matter while adapting to new information.
• A volatility map that tracks the typical absolute return for the same calendar day.
It calculates the day-of-year carefully (with leap-year adjustment) and indexes into a 365-slot seasonal array so “March 18” is compared with past March 18ths. This becomes the seasonal bias that gently nudges simulations up or down on each forecast day.
2) Choice of randomness engine
You can pick how the future shocks are generated:
• Daily mode uses a Gaussian draw with the seasonal bias as the mean and a volatility that comes from realized returns, scaled down to avoid over-fitting. It relies on the Box–Muller transform internally to turn two uniform random numbers into one normal shock.
• Weekly mode uses bootstrap sampling from the seasonal return history (resampling actual historical daily drifts and then blending in a fraction of the seasonal bias). Bootstrapping is robust when the empirical distribution has asymmetry or fatter tails than a normal distribution.
Both modes seed their random draws deterministically per path and day, which makes plots reproducible bar-to-bar and avoids flickering bands.
3) Volatility scaling to current conditions
Markets do not always live in average volatility. The engine computes a simple volatility factor from ATR(20)/price and scales the simulated shocks up or down within sensible bounds (clamped between 0.5× and 2.0×). When the current regime is quiet, the cone narrows; when ranges expand, the cone widens. This prevents the classic mistake of projecting calm markets into a storm or vice versa.
4) Many futures, summarized by percentiles
The model generates a matrix of price paths (capped at 100 runs for performance inside TradingView), each path stepping forward for your selected horizon. For each forecast day it sorts the simulated prices and pulls key percentiles:
• 5th and 95th → approximate 95% band (outer cone).
• 16th and 84th → approximate 68% band (inner cone).
• 50th → the median or “expected path.”
These are drawn as polylines so you can immediately see central tendency and dispersion.
5) A historical overlay (optional)
Turn on the overlay to sketch a dotted path of what a purely seasonal projection would look like for the next ~30 days using only the return map, no randomness. This is not a forecast; it is a visual reminder of the seasonal drift you are biasing toward.
Inputs you control and how to think about them
Monte Carlo Simulation
• Price Series for Calculation . The source series, typically close.
• Enable Probability Forecasts . Master switch for simulation and drawing.
• Simulation Iterations . Requested number of paths to run. Internally capped at 100 to protect performance, which is generally enough to estimate the percentiles for a trading chart. If you need ultra-smooth bands, shorten the horizon.
• Forecast Days Ahead . The length of the cone. Longer horizons dilute seasonal signal and widen uncertainty.
• Probability Bands . Draw all bands, just 95%, just 68%, or a custom level (display logic remains 68/95 internally; the custom number is for labeling and color choice).
• Pattern Resolution . Daily leans on day-of-year effects like “turn-of-month” or holiday patterns. Weekly biases toward day-of-week tendencies and bootstraps from history.
• Volatility Scaling . On by default so the cone respects today’s range context.
Plotting & UI
• Probability Cone . Plots the outer and inner percentile envelopes.
• Expected Path . Plots the median line through the cone.
• Historical Overlay . Dotted seasonal-only projection for context.
• Band Transparency/Colors . Customize primary (outer) and secondary (inner) band colors and the mean path color. Use higher transparency for cleaner charts.
What appears on your chart
• A cone starting at the most recent bar, fanning outward. The outer lines are the ~95% band; the inner lines are the ~68% band.
• A median path (default blue) running through the center of the cone.
• An info panel on the final historical bar that summarizes simulation count, forecast days, number of seasonal patterns learned, the current day-of-year, expected percentage return to the median, and the approximate 95% half-range in percent.
• Optional historical seasonal path drawn as dotted segments for the next 30 bars.
How to use it in trading
1) Position sizing and stop logic
The cone translates “volatility plus seasonality” into distances.
• Put stops outside the inner band if you want only ~16% odds of a stop-out due to noise before your thesis can play.
• Size positions so that a test of the inner band is survivable and a test of the outer band is rare but acceptable.
• If your target sits inside the 68% band at your horizon, the payoff is likely modest; outside the 68% but inside the 95% can justify “one-good-push” trades; beyond the 95% band is a low-probability flyer—consider scaling plans or optionality.
2) Entry timing with seasonal bias
When the median path slopes up from this calendar date and the cone is relatively narrow, a pullback toward the lower inner band can be a high-quality entry with a tight invalidation. If the median slopes down, fade rallies toward the upper band or step aside if it clashes with your system.
3) Target selection
Project your time horizon to N bars ahead, then pick targets around the median or the opposite inner band depending on your style. You can also anchor dynamic take-profits to the moving median as new bars arrive.
4) Scenario planning & “what-ifs”
Before events, glance at the cone: if the 95% band already spans a huge range, trade smaller, expect whips, and avoid placing stops at obvious band edges. If the cone is unusually tight, consider breakout tactics and be ready to add if volatility expands beyond the inner band with follow-through.
5) Options and vol tactics
• When the cone is tight : Prefer long gamma structures (debit spreads) only if you expect a regime shift; otherwise premium selling may dominate.
• When the cone is wide : Debit structures benefit from range; credit spreads need wider wings or smaller size. Align with your separate IV metrics.
Reading the probability cone like a pro
• Cone slope = seasonal drift. Upward slope means the calendar has historically favored positive drift from this date, downward slope the opposite.
• Cone width = regime volatility. A widening fan tells you that uncertainty grows fast; a narrow cone says the market typically stays contained.
• Mean vs. price gap . If spot trades well above the median path and the upper band, mean-reversion risk is high. If spot presses the lower inner band in an up-sloping cone, you are in the “buy fear” zone.
• Touches and pierces . Touching the inner band is common noise; piercing it with momentum signals potential regime change; the outer band should be rare and often brings snap-backs unless there is a structural catalyst.
Methodological notes (what the code actually does)
• Log returns are used for additivity and better statistical behavior: sim_ret is applied via exp(sim_ret) to evolve price.
• Seasonal arrays are updated online with EWMA (90/10) so the model keeps learning as each bar arrives.
• Leap years are handled; indexing still normalizes into a 365-slot map so the seasonal pattern remains stable.
• Gaussian engine (Daily mode) centers shocks on the seasonal bias with a conservative standard deviation.
• Bootstrap engine (Weekly mode) resamples from observed seasonal returns and adds a fraction of the bias, which captures skew and fat tails better.
• Volatility adjustment multiplies each daily shock by a factor derived from ATR(20)/price, clamped between 0.5 and 2.0 to avoid extreme cones.
• Performance guardrails : simulations are capped at 100 paths; the probability cone uses polylines (no heavy fills) and only draws on the last confirmed bar to keep charts responsive.
• Prerequisite data : at least ~30 seasonal entries are required before the model will draw a cone; otherwise it waits for more history.
Strengths and limitations
• Strengths :
– Probabilistic thinking replaces single-point guessing.
– Seasonality adds a small but meaningful directional bias that many markets exhibit.
– Volatility scaling adapts to the current regime so the cone stays realistic.
• Limitations :
– Seasonality can break around structural changes, policy shifts, or one-off events.
– The number of paths is performance-limited; percentile estimates are good for trading, not for academic precision.
– The model assumes tomorrow’s randomness resembles recent randomness; if regime shifts violently, the cone will lag until the EWMA adapts.
– Holidays and missing sessions can thin the seasonal sample for some assets; be cautious with very short histories.
Tuning guide
• Horizon : 10–20 bars for tactical trades; 30+ for swing planning when you care more about broad ranges than precise targets.
• Iterations : The default 100 is enough for stable 5/16/50/84/95 percentiles. If you crave smoother lines, shorten the horizon or run on higher timeframes.
• Daily vs. Weekly : Daily for equities and crypto where month-end and turn-of-month effects matter; Weekly for futures and FX where day-of-week behavior is strong.
• Volatility scaling : Keep it on. Turn off only when you intentionally want a “pure seasonality” cone unaffected by current turbulence.
Workflow examples
• Swing continuation : Cone slopes up, price pulls into the lower inner band, your system fires. Enter near the band, stop just outside the outer line for the next 3–5 bars, target near the median or the opposite inner band.
• Fade extremes : Cone is flat or down, price gaps to the upper outer band on news, then stalls. Favor mean-reversion toward the median, size small if volatility scaling is elevated.
• Event play : Before CPI or earnings on a proxy index, check cone width. If the inner band is already wide, cut size or prefer options structures that benefit from range.
Good habits
• Pair the cone with your entry engine (breakout, pullback, order flow). Let Monte Carlo do range math; let your system do signal quality.
• Do not anchor blindly to the median; recalc after each bar. When the cone’s slope flips or width jumps, the plan should adapt.
• Validate seasonality for your symbol and timeframe; not every market has strong calendar effects.
Summary
The Seasonality Monte Carlo Forecaster wraps institutional risk planning into a single overlay: a data-driven seasonal drift, realistic volatility scaling, and a probabilistic cone that answers “where could we be, with what odds?” within your trading horizon. Use it to place stops where randomness is less likely to take you out, to set targets aligned with realistic travel, and to size positions with confidence born from distributions rather than hunches. It will not predict the future, but it will keep your decisions anchored to probabilities—the language markets actually speak.
Multi-Timeframe Bias Dashboard + VolatilityWhat it is: A corner table (overlay) that gives a quick higher-timeframe read for Daily / 4H / 1H using EMA alignment, MACD, RSI, plus a volatility gauge.
How it works (per timeframe):
EMA block (50/100/200): “Above/Below/Mixed” based on price vs all three EMAs.
MACD: “Bullish/Bearish/Neutral” from MACD line vs Signal and histogram sign.
RSI: Prints the value and an ↑/↓ based on 50 line.
Volatility: Compares ATR(14) to its SMA over 20 bars → High (>*1.2), Normal, Low (<*0.8).
Bias: Combines three votes (EMA, MACD, RSI):
Bullish if ≥2 bullish, Bearish if ≥2 bearish, else Mixed.
Display:
Rows: D / 4H / 1H.
Columns: Bias, EMA(50/100/200), RSI, MACD, Volatility.
Bias cell is color-coded (green/red/gray).
Position setting lets you park the table in Top Right / Bottom Right / Bottom Left (works on mobile too).
Use it for:
Quickly aligning intraday setups with higher-TF direction.
Skipping low-volatility periods.
Confirming momentum (MACD/RSI) when price returns to your OB/FVG zones.
Aladin 2.0 — Invite‑Only (Custom Smoother + Supertrend Filter)Aladin 2.0 invite‑only by @AryaTrades69
Overview
Aladin 2.0 blends a proprietary multi‑stage smoother baseline, volatility envelopes, and a Supertrend‑based ATR trailing filter to structure clean, bar‑close signals. Optional “golden‑zone style” retracement gating and mapped SL/TP zones are included. This is a tool for analysis, accuracy is best when you add manual confluence (trendlines, support/resistance) to filter out low‑quality signals.
What’s inside
Proprietary multi‑stage smoother (baseline)
Custom smoothed baseline with adjustable length and a smoothing coefficient. Drives core breakout logic without revealing internal formulas.
Volatility envelopes
Breakout candidates when price closes beyond adaptive volatility bands.
Supertrend‑based trend filter (optional, MTF)
ATR‑trailing regime filter to keep signals aligned with trend; can run on higher timeframes.
Golden‑zone style retracement gate (optional)
Only allow signals within a defined pullback zone of the recent range.
Spacing & structure controls
Minimum bars between signals plus a simple HH/LL gate to avoid clustered whipsaws.
SL/TP mapping (optional)
SL from most recent confirmed swing; ATR fallback if no swing is found.
TP1/TP2/TP3 by user‑defined R:R; move SL to breakeven at TP1.
Shaded zones for SL and target area (time‑limited for clarity).
How to use
Choose your timeframe (intraday to swing). Signals compute on bar close.
Enable the trend filter for strictly trend‑aligned entries (Supertrend‑based ATR trail). MTF is supported.
Use the golden‑zone gate to prioritize higher‑quality pullbacks.
Validate with manual confluence:
Trendlines, structure breaks
Support/resistance or supply/demand
Session/volatility context
Optionally enable SL/TP areas, set R:R, and configure alerts.
Inputs (key controls)
Smoother length & smoothing coefficient (baseline sensitivity/lag)
Range period & multiplier (volatility envelopes)
Min bars between signals (signal frequency)
Trend filter (ATR trail): factor, ATR period, line smoothing, optional higher timeframe
Golden‑zone retracement: lookback, min/max bounds
SL/TP: swing lookback, ATR fallback, TP1/2/3 R:R, zone display width
Alerts
Long/Short signal on bar close
TP1/TP2/TP3 hit
SL hit / Breakeven event
(Setup: Add Alert → Condition: Aladin 2.0 → choose event)
MTF & repaint policy
Signals are calculated on bar close; the trend filter uses security with lookahead off.
Swing‑based SL uses confirmed pivots.
With an HTF filter enabled on an LTF chart, the HTF line/state finalizes when the HTF bar closes (standard MTF behavior).
Best practices
Not a set‑and‑forget system. Accuracy improves when you manually filter weaker signals with trendlines and support/resistance, and prioritize clean market structure.
Consider conservative settings or the trend filter during choppy, low‑volatility periods.
Access
Invite‑Only. Request access via TradingView PM to @AryaTrades69.
Redistribution or code extraction is not permitted.
Disclaimer
For educational purposes only. Not financial advice.
No guarantees of profitability. Trading involves risk. Do your own research.
Changelog (v2.0)
Optional MTF ATR‑trail trend filter (Supertrend concept)
Golden‑zone style retracement gating
Min‑bars spacing and basic HH/LL gating
SL/TP mapping with BE at TP1 and shaded zones
Stability and performance improvements
EMA Crossover Entry + ATR ExitOverview
A robust trend-following strategy that combines multiple Exponential Moving Averages (EMAs) for precise entry signals with smoothed Average True Range (ATR) for dynamic, volatility-based exits. Designed for traders who want to capture strong trending long-term moves while protecting profits with intelligent stop-loss management.
Strategy Logic
Entry Signal:
- Enters LONG when price closes above EMA 20, AND
- EMA 20 > EMA 50 > EMA 100 > EMA 200 (Perfect bull alignment)
Ensures entry only during confirmed uptrends with all EMAs properly stacked
Exit Signal:
- Uses smoothed ATR.
- Creates dynamic trailing stop that adjusts to market volatility
- Exits when price closes below ATR.
Check volume in addition to this, to boost confidence for your entry.
This works well for Long Term Investment.
Use Daily or Weekly timeframe.
Key Features
✅ Trend Confirmation: Four-EMA stack ensures strong trend alignment before entry
✅ Volatility-Adaptive Exits: ATR smoothing prevents whipsaw exits in choppy markets
Perfect for traders seeking systematic trend-following with professional risk management. Combines the reliability of multiple timeframe trend confirmation with the precision of volatility-based exits.
Happy Investing!
:)
Feel free to provide feedback; I would love to hear from you.
Note:
Strategy executes on bar close to prevent repainting.
Past performance does not guarantee future results.
Use proper risk management.
Chicago 17:00-19:00 Overnight RangeThis indicator will map out range high and range low of previous 17:00 - 19:00 of the chart. It can also display mid range if needed
Opening Range — Chicago 17:00-19:00 (Customizable)Maps opening 2 hour range of Chicago timezone with the range high range low and medium zone. It can be customized to fit your needs
Enhanced Circle CandlestickEnhanced Circle Candlestick
This script transforms standard candlesticks into circles, visualizing momentum, volume, and volatility in a unique way. The size and color of the circles change based on the body size of the candlestick, while a change in color signifies a volume spike. Long wicks are also highlighted, providing a quick visual cue for potential reversals or indecision.
Features
Circle Visualization: Replaces the standard candlestick body with a circle. The size of the circle is determined by the size of the candlestick body, making it easy to spot periods of high momentum.Gradient Color: The circle's opacity changes based on the body size. Smaller bodies have a lighter color, while larger, more powerful bodies have a darker, more vivid color. This visual gradient provides a clear indication of a bar's strength.Volume Spike Highlight: The circle's color will change to a bright yellow when the current volume exceeds the average volume by a user-defined factor, indicating a significant influx of buying or selling pressure.Long Wick Markers: The script draws a small triangle above or below the candlestick when a wick's length surpasses a user-defined percentage of the body's size. This helps identify potential exhaustion, rejection, or indecision in the market.
Settings
Bullish/Bearish Color: Customize the base colors for bullish (green) and bearish (red) circles.Volume Spike Color: Choose the color for the circle when a volume spike occurs.Volume Spike Factor: Set the multiplier for the volume spike detection. For example, a value of 2.0 means a volume spike is detected when the current volume is twice the 20-period moving average.Circle Opacity (0-100): Adjust the base transparency of the circles. Lower numbers result in more opaque (solid) colors.Opacity Factor: Controls how quickly the color gradient changes based on the body size. A higher value makes the color change more dramatic.Wick Length Factor (vs Body): Set the threshold for marking long wicks. A value of 0.8 means a wick is marked if its length is 80% or more of the candlestick body's size.
How to Use
Add this indicator to your chart.Open the Chart Settings.In the "Symbol" tab, set the transparency of the candlestick "Body" to 0%. (This step is essential because the indicator's settings will not be applied when the indicator is not selected, and the default platform settings take precedence.)
I do not speak English at all. Please understand that if you send me a message, I may not be able to reply, or my reply may have a different meaning. Thank you for your understanding.
EEI Strategy — Greedy/Guarded v1.2Purpose
Day‑trading strategy (5‑min focus) that hunts “armed” setups (PRE) and confirms them (GO) with greedy-but‑guarded execution. It adapts to symbol type, trend strength, and how long it’s been since the last signal.
Core signals & regime
Trend/Regime: EMA‑200 (intraday bias), VWAP, and a non‑repainting HTF EMA (via request.security(...) ).
Momentum/Structure: Manual Wilder DMI/ADX, micro‑ribbon (EMA 8/21), Bollinger‑Keltner squeeze + “squeeze fire,” BOS (break of swing high/low), pullback to band.
Liquidity/Vol: RVOL vs SMA(volume) + a latch (keeps eligibility a few bars after the first spike).
Volatility: ATR + ATR EMA (expansion).
PRE / GO engine
Score (0–100) aggregates trend, momentum, RVOL, squeeze, OBV slope, ribbon, pullback, BOS, and an Opening‑Range (OR) proximity penalty.
PRE arms when the adjusted score ≥ threshold and basic hygiene passes (ATR%, cooldown, etc.).
GO confirms within a dynamic window (1–3 bars):
Wick‑break mode on hot momentum (trend‑day / high ADX+RVOL): stop orders above/below the PRE high/low with a tick buffer.
Close‑through mode otherwise: close must push through PRE high/low plus ATR buffer.
Chase guard: entry cannot be too far from PRE price (ATR‑based), with a tiny extra allowance when the 8/21 ribbon aligns.
Multiple PREs per squeeze (capped) + per‑entry cooldown.
Adaptive behavior
Presets (Conservative/Balanced/Aggressive/Turbo) shift score/ADX/RVOL/ATR gates, GO window, cooldown, and max chase.
Profiles / Auto by Symbol:
Mega Trend (e.g., AMD/NVDA/TSLA/AAPL): looser chase, ATR stop, chandelier trail.
Mid Guarded (e.g., TTD/COIN/SOFI): swing stop, EMA trail, moderate gates.
Small Safe (e.g., BTAI/BBAI class): tighter gates, more guardrails.
BBAI micro‑override: easier arming (lower score/ADX/RVOL), multi‑PRE=3, swing stop + EMA trail, lighter OR penalty.
Trend‑day detector: if ADX hot + RVOL strong + ATR expanding + distance from day‑open large → GO window = 1 and wick‑break mode.
Mid‑day relaxers: mild score bonus between 10:30–14:30 to keep signals flowing in quieter tape.
Auto‑Relaxer (no‑signal fallback): after N bars without PRE/GO, gradually lowers score/ADX/RVOL/ATR% gates and raises max chase so the engine doesn’t stall on sleepy symbols.
Auto‑Session fallback: if RTH session isn’t detected (some tickers/premarket), it falls back to daily boundaries so Opening Range and day‑open logic still work.
Risk & exits
Initial stop per side chosen by ATR, Swing, or OR (computed every bar; no conditional calls).
Scaled targets: TP1/TP2 (R‑based) + runner with optional Chandelier or EMA trailing.
BE logic: optional move to breakeven after TP1; trailing can start after TP1 if configured.
Opening Range (OR)
Computes day open, OR high/low over configurable minutes; applies a penalty when entries are too close to OR boundary (lighter for small caps/BBAI). Protects against boundary whips.
Alerts & visuals
Alertconditions: PRE Long/Short Armed, GO Long/Short + explicit alert() calls for once‑per‑bar automation.
Plots: EMA‑200, HTF EMA, BB/KC bands, OR lines, squeeze shading, and PRE markers.
Why it’s robust
Non‑repainting HTF technique, all series precomputed every bar, no function calls hidden in conditionals that could break history dependence, and consistent state handling (var + sentinels).
Tuning cheat‑sheet (fast wins)
More trades: lower scoreBase, adxHot, or rvolMinBase a notch; reduce cooldownBase; increase maxPREperSqueeze.
Fewer whips: increase closeBufferATR, wickBufferTicks, or atrMinPct; reduce maxChaseATRBase.
Trend capture: use trailType="Chandelier", smaller trailLen, slightly larger trailMult; set preset="Aggressive".
Choppy names: prefer stopMode="Swing", enable EMA trail, keep OR penalty on.
[Top] ≈ SyncLineFind the hidden currents between markets.
What it does
SyncLine overlays up to three cross-asset guide lines on your current chart, translating each selected symbol’s intraday position into the price scale of the chart you’re viewing. The result is a clean, session-aware “sync” of other markets on your chart so you can quickly spot alignment, leadership, and divergence without clutter.
How it works
For each selected symbol, SyncLine calculates that symbol’s intraday position relative to its own session baseline, then projects that position onto your active chart based on its own baseline.
Lines reset each session to remain relevant to the current day’s action.
Optional smoothing makes the guides easier to read during noisy tape.
Note: This script is intraday-only . It will stop with a clear warning if applied to non-intraday timeframes.
Inputs
Symbols
Show Symbol 1/2/3 – Toggle each overlay line.
Symbol 1/2/3 – Choose any ticker (e.g., index futures, ETFs, single names).
Color 1/2/3 – Line colors.
Labels - Optional labels for each line.
Smoothing
Enable Smoothing – On/Off.
Method – EMA / SMA / WMA / RMA.
Length – 1–50.
How to use
Add one or more driver markets (e.g., ES, NQ, DXY, sector leaders) to observe when they align with your instrument.
Look for:
Confluence : your price and one or more SyncLines moving together.
Leadership : a SyncLine turns/accelerates before your price.
Divergence : your price disagrees with the majority of SyncLines.
Notes & limitations
Designed for intraday timeframes (1m–1h).
Lines are calculated from completed data and do not repaint after bar close .
Works best during regular liquid sessions ; thin markets can reduce signal quality.
Best practices
Pair SyncLine with your execution framework (structure, liquidity zones, time-of-day).
Use distinct colors for each symbol and keep the set small (1–3) for clarity.
Tony O's Euler BandsTony O’s Euler Bands is a volatility-based overlay that uses the mathematical constant e (~2.71828) to scale price bands in a non-linear way. Unlike traditional Bollinger Bands or Keltner Channels, these bands are spaced by exponential functions of volatility (σ), creating zones that expand and contract more dynamically across different market regimes.
How it works:
A configurable moving average (EMA/SMA/RMA/WMA) is used as the basis.
Volatility (σ) is calculated as the standard deviation of returns over a user-defined lookback.
Four band levels are plotted above and below the basis at distances equal to:
basis × 𝑒^(𝑚⋅𝜎⋅𝑘)
where m is a user multiplier and k = {2, 4, 6, 8} for each successive band.
This produces inner bands that highlight mild deviations and outer bands that signal extreme moves.
What makes it unique:
Uses e as the base for band expansion instead of linear multiples or Fibonacci ratios.
Bands scale multiplicatively, making them more consistent across assets and price scales.
Multiple symmetric bands per side, color-coded from green (mild) to purple (extreme) for intuitive visual cues.
Optional transparent fill to show volatility envelopes without obscuring price action.
How to use:
Trend monitoring: Sustained closes beyond an inner band can indicate momentum; closes beyond outer bands can signal overextension.
Reversion spotting: Touches on extreme bands (level 4) can highlight potential exhaustion points.
Works on any asset/timeframe; adjust basis length, volatility lookback, and multiplier to suit your market.
0DTE Credit Spreads IndicatorDescription:
This indicator is designed for SPX traders operating on the 15-minute timeframe, specifically targeting 0 Days-to-Expiration (0DTE) options with the intention to let them expire worthless.
It automatically identifies high-probability entry points for Put Credit Spreads (PCS) and Call Credit Spreads (CCS) by combining intraday price action with a custom volatility filter.
Key Features:
Optimized exclusively for SPX on the 15-minute chart.
Intraday volatility conditions adapt based on real-time VIX readings, allowing credit expectations to adjust to market environment.
Automatic visual labeling of PCS and CCS opportunities.
Built-in stop loss level display for risk management.
Optional same-day PCS/CCS signal allowance.
Fully adjustable colors and display preferences.
How It Works (Concept Overview):
The script monitors intraday momentum, relative volatility levels, and proprietary pattern recognition to determine favorable spread-selling conditions.
When conditions align, a PCS or CCS label appears on the chart along with a stop loss level.
VIX is used at the moment of signal to estimate the ideal option credit range.
Recommended Use:
SPX only, 15-minute timeframe.
Intended for 0DTE options held to expiration, though you may take profits earlier based on your own strategy.
Works best during regular US market hours.
Disclaimer:
This script is for informational and educational purposes only and is not financial advice. Trading options carries risk. Always perform your own analysis before entering a trade.
BB Squeeze + Keltner Breakout + VolumeHow the Strategy Works
Bollinger Bands Squeeze: The strategy first looks for a "squeeze" in the Bollinger Bands. This happens when the bands narrow significantly, indicating a period of low market volatility and potential consolidation. The bbSqueeze variable becomes true when the Bollinger Bandwidth falls below a set
New RSI📌 New RSI
The New RSI is a modern, enhanced version of the classic RSI created in 1978 — redesigned for today’s fast-moving markets, where algorithmic trading and AI dominate price action.
This indicator combines:
Adaptive RSI: Adjusts its calculation length in real time based on market volatility, making it more responsive during high volatility and smoother during calm periods.
Dynamic Bands: Upper and lower bands calculated from historical RSI volatility, helping you spot overbought/oversold conditions with greater accuracy.
Trend & Regime Filters: EMA and ADX-based detection to confirm signals only in favorable market conditions.
Volume Confirmation: Signals appear only when high trading volume supports the move — green volume for bullish setups and red volume for bearish setups — filtering out weak and unreliable trades.
💡 How it works:
A LONG signal appears when RSI crosses above the lower band and the volume is high with a bullish candle.
A SHORT signal appears when RSI crosses below the upper band and the volume is high with a bearish candle.
Trend and higher timeframe filters (optional) can help improve precision and adapt to different trading styles.
✅ Best Use Cases:
Identify high-probability reversals or pullbacks with strong momentum confirmation.
Avoid false signals by trading only when volume validates the move.
Combine with your own support/resistance or price action strategy for even higher accuracy.
⚙️ Fully Customizable:
Adjustable RSI settings (length, volatility adaptation, smoothing)
Dynamic band sensitivity
Volume threshold multiplier
Higher timeframe RSI filter
Color-coded background for market regime visualization
This is not just another RSI — it’s a complete, next-gen momentum tool designed for traders who want accuracy, adaptability, and confirmation in every signal.
Heiken Ashi + Ichimoku Baseline ScalperHi
This a trend identification strategy. You can hold your trade as long as the signals are in your favor.
GreenRushR - Confluence HUD (v1.7)Hello traders,
Does it feel like the market perfectly snipes your stop-loss before reversing in the direction you originally predicted? This is one of the most common frustrations in trading, and it often happens when we're on the wrong side of the overall market structure.
The GreenRushR HUD was built from the ground up to solve this exact problem.
It's a comprehensive, all-in-one dashboard that lives on your chart, giving you an instant, crystal-clear view of the trend across nine key timeframes—from the monthly all the way down to the 1-minute. By consolidating this data, the HUD helps you quickly identify when the Higher Timeframes (HTF), Market Structure, and Lower Timeframes (LTF) are in alignment, allowing you to trade with the institutional flow, not against it.
Key Features
📈 All-in-One Dashboard: Instantly see the trend status of the Monthly, Weekly, Daily, 4-Hour, 1-Hour, 30-Minute, 15-Minute, 5-Minute, and 1-Minute timeframes.
🚥 Confluence Signals: The main display shows you the status of three key groups (HTF, Structure, LTF) and gives a clear "CONFLUENCE" signal when key timeframes are aligned, highlighting high-probability conditions.
🔔 "A-Grade" Setup Alerts: The script includes a powerful, pre-configured alert condition for "A-Grade" setups. This allows you to receive a notification the moment a high-probability, multi-timeframe alignment occurs.
🎯 Built-in Exit Logic: To aid in trade management and backtesting, the script includes logic to track multiple potential exit strategies based on ATR (for Stop Loss & Take Profit), Heikin Ashi reversals, and bias flips.
How to Use This Indicator
Wait for Alignment: Look for the dashboard's main groups (HTF and Structure) to show a clear bullish (teal) or bearish (coral) alignment.
Confirm with an Alert: Wait for an "A-Grade Setup" alert to fire, confirming a high-probability entry condition based on the script's logic.
Trade with Confidence: Use the confluence signal as a powerful confirmation for your existing trading plan, helping you avoid low-quality setups and trades against the trend.
Settings
Bullish/Bearish Color: Customize the colors of the dashboard to fit your chart theme.
ATR Multipliers: Adjust the ATR multipliers to set custom Stop Loss and Take Profit levels that suit your risk tolerance.
Enable A-Grade Setup Alerts: A simple toggle to turn the main alert condition on or off.
How to Get Access
This is an invite-only script.
To request access, please leave a comment below or send me a direct message here on TradingView. I will grant you access as soon as possible.
You can also find more information by visiting the website listed on my TradingView profile.
Disclaimer: This indicator is for educational purposes only and should not be considered financial advice. All trading involves substantial risk. Past performance is not indicative of future results. Please trade responsibly.
Becomnigforextrader XAU M1 ScalperHi
The blue line is baseline of ichimoku or kiju sen. When thee is divergence between pice and baseline, the signals are not correct.
As long as there are signals in your trade direction, you can hold your trade.
This strategy depicts mometum and current trend.
Advanced VWAP Position SizerBelow is a TradingView description for the "Advanced VWAP Position Sizer" script, written in a clear and concise manner suitable for the platform's indicator description field. The description highlights the script's purpose, features, and usage instructions, tailored to its functionality based on the provided code.
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### Advanced VWAP Position Sizer
**Category:** Custom Indicators
**Type:** Overlay
The **Advanced VWAP Position Sizer** is a powerful trading tool that combines the Volume Weighted Average Price (VWAP) with dynamic position sizing based on your portfolio risk tolerance. This indicator calculates the VWAP with customizable anchor periods and band levels, then determines the optimal trade size to ensure the full distance between the VWAP centerline and a selected band does not exceed 0.3% of your daily portfolio balance. Ideal for day traders seeking to manage risk effectively while leveraging VWAP-based strategies.
#### Key Features:
- **Customizable VWAP**: Adjust the anchor period (Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits) to reset the VWAP calculation based on your preferred timeframe.
- **Band Calculations**: Displays upper and lower bands using Standard Deviation or Percentage-based multipliers (1.0, 2.0, 3.0), with options to show/hide each band level.
- **Percentage Difference**: Calculates the percentage difference between the VWAP centerline and the selected band (Upper or Lower), automatically chosen based on trade direction (Long/Short).
- **Position Sizing**: Determines the number of shares to trade based on a user-defined portfolio balance and a 0.3% risk limit, accounting for stop loss distance, commissions, and slippage.
- **Interactive Table**: Displays real-time data including Risk per Trade, VWAP-to-Band Distance, Band % Difference, Risk per Share, Shares, and Position Value, with black text for readability.
- **Flexible Entry**: Supports manual entry price or uses the current price, with customizable stop levels relative to the band distance.
#### How to Use:
1. **Input Your Settings**:
- Set your daily **Portfolio Balance** (e.g., $50,000) to reflect your current capital.
- Adjust the **Risk % of Portfolio** (default 0.3%) to define your risk tolerance.
- Choose your **Direction** (Long or Short) and **Band** (Upper, Lower, or Auto by Direction).
- Select **Entry Price** mode (Current Price or Manual) and set a manual entry if needed.
- Configure **VWAP Settings** (Anchor Period, Source, Offset) and **Bands Settings** (Calculation Mode, Multipliers).
- Add **Commission** and **Slippage** per share, and enable **Fractional Shares** if desired.
- Position the table (Top Right, Bottom Right, Top Left, Bottom Left).
2. **Interpret the Table**:
- **Risk / Trade**: Total risk amount based on your portfolio and risk percentage.
- **VWAP→Band Dist**: Dollar distance from VWAP to the selected band.
- **Band % Diff**: Percentage difference between VWAP and the band, ensuring it stays within 0.3% of your portfolio.
- **Risk / Share**: Risk per share including stop distance and costs.
- **Shares**: Recommended number of shares to trade.
- **Position $**: Total position value based on shares and entry price.
3. **Trading Strategy**:
- Use the VWAP as a trend indicator and the bands for potential entry/exit points.
- Adjust your position size to align with the calculated shares, ensuring your risk does not exceed 0.3% of your portfolio balance.
- Monitor the **Entry** and **Stop** plots for trade execution and risk management.
#### Notes:
- This indicator overlays on the price chart and requires volume data to function correctly.
- The table updates on the last bar and may not display on timeframes (1D or above) if "Hide VWAP on 1D or Above" is enabled.
- Ensure your portfolio balance is updated daily to reflect accurate risk calculations.
- Compatible with Pine Script v6; adjust to v5 if compatibility issues arise.
**Disclaimer**: This is not financial advice. Consult a financial advisor and avoid sharing personal identifiable information.