ForecastForecast (FC), indicator documentation
Type: Study, not a strategy
Primary timeframe: 1D chart, most plots and the on-chart table only render on daily bars
Inspiration: Robert Carver’s “forecast” concept from Advanced Futures Trading Strategies, using normalized, capped signals for comparability across markets
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What the indicator does
FC builds a volatility-normalized momentum forecast for a chosen symbol, optionally versus a benchmark. It combines an EWMAC composite with a channel breakout composite, then caps the result to a common scale. You can run it in three data modes:
• Absolute: Forecast of the selected symbol
• Relative: Forecast of the ratio symbol / benchmark
• Combined: Average of Absolute and Relative
A compact table can summarize the current forecast, short-term direction on the forecast EMAs, correlation versus the benchmark, and ATR-scaled distances to common price EMAs.
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PineScreener, relative-strength screening
This indicator is excellent for screening on relative strength in PineScreener, since the forecast is volatility-normalized and capped on a common scale.
Available PineScreener columns
PineScreener reads the plotted series. You will see at least these columns:
• FC, the capped forecast
• from EMA20, (price − EMA20) / ATR in ATR multiples
• from EMA50, (price − EMA50) / ATR in ATR multiples
• ATR, ATR as a percent of price
• Corr, weekly correlation with the chosen benchmark
Relative mode and Combined mode are recommended for cross-sectional screens. In Relative mode the calculation uses symbol / benchmark, so ensure the ratio ticker exists for your data source.
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How it works, step by step
1. Volatility model
Compute exponentially weighted mean and variance of daily percent returns on D, annualize, optionally blend with a long lookback using 10y %, then convert to a price-scaled sigma.
2. EWMAC momentum, three legs
Daily legs: EMA(8) − EMA(32), EMA(16) − EMA(64), EMA(32) − EMA(128).
Divide by price-scaled sigma, multiply by leg scalars, cap to Cap = 20, average, then apply a small FDM factor.
3. Breakout momentum, three channels
Smoothed position inside 40, 80, and 160 day channels, each scaled, then averaged.
4. Composite forecast
Average the EWMAC composite and the breakout composite, then cap to ±20.
Relative mode runs the same logic on symbol / benchmark.
Combined mode averages Absolute and Relative composites.
5. Weekly correlation
Pearson correlation between weekly closes of the asset and the benchmark over a user-set length.
6. Direction overlay
Two EMAs on the forecast series plus optional green or red background by sign, and optional horizontal level shading around 0, ±5, ±10, ±15, ±20.
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Plots
• FC, capped forecast on the daily chart
• 8-32 Abs, 8-32 Rel, single-leg EWMAC plus breakout view
• 8-32-128 Abs, 8-32-128 Rel, three-leg composite views
• from EMA20, from EMA50, (price − EMA) / ATR
• ATR, ATR as a percent of price
• Corr, weekly correlation with the benchmark
• Forecast EMA1 and EMA2, EMAs of the forecast with an optional fill
• Backgrounds and guide lines, optional sign-based background, optional 0, ±5, ±10, ±15, ±20 guides
Most plots and the table are gated by timeframe.isdaily. Set the chart to 1D to see them.
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Inputs
Symbol selection
• Absolute, Relative, Combined
• Vs. benchmark for Relative mode and correlation, choices: SPY, QQQ, XLE, GLD
• Ticker or Freeform, for Freeform use full TradingView notation, for example NASDAQ:AAPL
Engine selection
• Include:
• 8-32-128, three EWMAC legs plus three breakouts
• 8-32, simplified view based on the 8-32 leg plus a 40-day breakout
EMA, applied to the forecast
• EMA1, EMA2, with line-width controls, plus color and opacity
Volatility
• Span, EW volatility span for daily returns
• 10y %, blend of long-run volatility
• Thresh, Too volatile, placeholders in this version
Background
• Horizontal bg, level shading, enabled by default
• Long BG, Hedge BG, colors and opacities
Show
• Table, Header, Direction, Gain, Extension
• Corr, Length for correlation row
Table settings
• Position, background, opacity, text size, text color
Lines
• 0-lines, 10-lines, 5-lines, level guides
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Reading the outputs
• Forecast > 0, bullish tilt; Forecast < 0, bearish or hedge tilt
• ±10 and ±20 indicate strength on a uniform scale
• EMA1 vs EMA2 on the forecast, EMA1 above EMA2 suggests improving momentum
• Table rows, label colored by sign, current forecast value plus a green or red dot for the forecast EMA cross, optional daily return percent, weekly correlation, and ATR-scaled EMA9, EMA20, EMA50 distances
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Data handling, repainting, and performance
• Daily and weekly series are fetched with request.security().
• Calculations use closed bars, values can update until the bar closes.
• No lookahead, historical values do not repaint.
• Weekly correlation updates during the week, it finalizes on weekly close.
• On intraday charts most visuals are hidden by design.
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Good practice and limitations
• This is a research indicator, not a trading system.
• The fixed Cap = 20 keeps a common scale, extreme moves will be clipped.
• Relative mode depends on the ratio symbol / benchmark, ensure both legs have data for your feed.
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Credits
Concept inspired by Robert Carver’s forecast methodology in Advanced Futures Trading Strategies. Implementation details, parameters, and visuals are specific to this script.
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Changelog
• First version
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Disclaimer
For education and research only, not financial advice. Always test on your market and data feed, consider costs and slippage before using any indicator in live decisions.
In den Scripts nach "weekly" suchen
BTC NY Session Envelopes: Dynamic Levels & Settle AlertsCore Concept and Genesis
Born from forex institutional timing principles, this tool has been precision-engineered for the relentless pace of Bitcoin and cryptocurrency markets. It visualizes adaptive session-derived boundaries—spanning weekly, daily, and Asia-specific envelopes—capped with a Friday US settlement "sentinel" zone. Enhanced with targeted alerts for crossings of Asia highs/lows, daily highs/lows, weekly highs/lows, and the settle midpoint, it empowers traders to capture momentum shifts in real-time, transforming raw price data into actionable intelligence for volatile, non-stop assets.
The Fusion Edge: What Sets This Apart
This isn't a generic level plotter; it's a synergistic ecosystem where NY-timed envelopes intersect to reveal hidden confluences, like Asia's quiet buildup funneling into daily volatility spikes or the US settle acting as a "gap magnet" for weekend resolutions. Tailored for BTC's unique liquidity flows, it employs a low-timeframe data pull for noise-free accuracy, sidestepping common pitfalls in 24/7 charts. The built-in alerts—firing on precise crossovers—add a proactive layer, alerting to potential "liquidity hunts" or reversals (e.g., a breakout above weekly high amid high volume). In personal simulations across 500+ BTC sessions, this setup flagged ~65% of high-conviction moves with fewer false positives than isolated tools—always backtest to confirm your edge.
Inner Mechanics: A Transparent Peek
Weekly/Daily Envelopes: Anchored to 5pm NY resets for institutional alignment; computes highs/lows/mids through ongoing max/min accumulation, sourced from a user-defined sub-timeframe for cross-chart reliability.
Asia Envelope: A dynamic 8pm-3am NY capture window that evolves bar-by-bar, spotlighting pre-London setups often overlooked in crypto.
US Settle Sentinel: Zeroes in on Friday's 4:45pm NY 15-minute finale, rendering a containment box and midpoint to forecast post-weekend reactions. Overlaps are intelligently clustered in labels for at-a-glance clarity, with extension options for forward projection.
Timeframe-Adaptive Visibility: To declutter higher timeframes and focus on relevant horizons, the Asia envelope auto-hides on charts above 1hr, while daily envelopes vanish above 4hr—ensuring a streamlined view for swing or position traders without sacrificing intraday detail.
Alert System: Leverages crossover/crossunder detection on closing prices against levels, with granular triggers (e.g., "Surge Beyond Asia Low") for customized notifications—perfect for webhook integrations or mobile pings.
Strategic Deployment and Scenarios
BTC Day-Trading Playbook: Initiate longs when price rebounds from Asia low near a daily mid, amplified by an alert on "Dip Below Daily Low" for entry confirmation—pair with external volume spikes for confluence.
Trend Harmony: Overlay with a 200-period EMA; use "Breach Under Weekly High" alerts to exit longs in downtrends, safeguarding against fakeouts.
Caveats and Optimization: Thrives in momentum-driven phases but tune out in ultra-low volatility; alerts activate post-bar, so layer with candlestick patterns. Ideal for 15m-4H frames on perpetual futures like BTCUSDT.P.
Exclusive Access Rationale (If Restricted) The bespoke crypto recalibrations, seamless multi-envelope fusion, and alert-driven foresight deliver a tactical advantage absent in off-the-shelf alternatives—reach out via TradingView message for tailored access and optimization insights.
VWAP RIBBONVWAP Ribbon Indicator
The VWAP Ribbon Indicator is a comprehensive technical analysis tool designed for TradingView, utilizing multiple Volume-Weighted Average Price (VWAP) calculations across different timeframes (Daily, Weekly, Monthly, Yearly, and Custom) to identify potential trading opportunities. It generates buy/sell signals, detects institutional bias, compression zones, breakouts, false breakouts, and reversions, providing traders with a robust framework for decision-making. The indicator is highly customizable, allowing users to tailor its settings to their trading style and timeframe.
Features
Multi-Timeframe VWAPs: Plots VWAPs for Daily, Weekly, Monthly, Yearly, and a user-defined Custom timeframe, each with configurable deviation bands.
Buy/Sell Signals: Generates signals based on price interactions with VWAPs, rebounds, and crosses, with adjustable sensitivity and minimum conditions.
Institutional Bias: Identifies bullish or bearish institutional bias based on VWAP alignments and slopes.
Compression Zones: Detects areas where VWAPs converge, indicating potential accumulation or distribution phases.
Breakout and False Breakout Detection: Identifies confirmed breakouts and false breakouts after compression zones, with volume and price confirmation.
Reversion Signals: Detects reversions after price excesses beyond VWAP deviation bands, anchored to pivot points.
Custom VWAP: Allows users to define a custom VWAP timeframe (e.g., specific hours, days, weeks) for tailored analysis.
Tactical Panel: Displays real-time signal and market data in a customizable panel (compact or detailed).
Advanced Filters: Incorporates volume, RSI, EMA, and candlestick patterns to enhance signal accuracy.
How to Use
Adding the Indicator:
In TradingView, go to the Pine Editor, paste the provided code, and click "Add to Chart."
The indicator will overlay VWAP lines and deviation bands on your chart, with optional labels and a tactical panel.
Configuration: The indicator is divided into several input groups for easy customization:
⚙️ Activate VWAPs in Signals: Enable or disable Daily, Weekly, Monthly, Yearly, or Custom VWAPs for signal generation.
Visual VWAP Ribbon Settings: Toggle visibility and adjust colors for VWAP lines and deviation bands. Customize the Custom VWAP timeframe (e.g., 4 hours, 2 days).
Buy/Sell Signals: Enable labels for basic signals ("B" for Buy, "S" for Sell), set minimum conditions (1–10), and adjust signal sensitivity (0.1–1.0).
Institutional Bias Conditions: Enable background coloring for bias, set minimum VWAP spacing (%), and optionally require price alignment with VWAPs.
Statistical Signals: Enable reversion labels, adjust lookback periods, and set volume gates for reversions.
VWAP Compression: Enable detection of VWAP convergence zones and breakout/false breakout signals.
Custom Signals: Enable labels for Custom VWAP rebounds with configurable cooldowns.
Pro Filters: Apply advanced filters like minimum VWAP slope, relative price confirmation, volume thresholds, RSI, and EMA weights.
Signal Weight Configuration: Assign weights to various conditions (e.g., price crosses, rebounds) to fine-tune signal scoring.
Tactical Panel: Enable the panel, choose its position (e.g., top-right), and select compact or detailed mode.
Interpreting Signals:
Buy/Sell Signals: Appear as "B" (Buy) or "S" (Sell) labels with detailed tooltips listing triggered conditions (e.g., price crossing Daily VWAP, rebound from lower band). Signals require a minimum number of conditions (default: 3) and a normalized score above the sensitivity threshold (default: 0.5).
Institutional Bias: Background coloring (green for bullish, red for bearish) indicates VWAP alignment (e.g., Daily > Weekly > Monthly) and slope conditions. Neutral bias has no coloring.
Compression Zones: Gray background highlights areas where VWAPs are within a user-defined threshold (default: 0.5%), signaling potential accumulation/distribution.
Breakout Signals: Labeled as "BREAK ▲" or "BREAK ▼" after exiting a compression zone with strong candlestick confirmation and volume.
False Breakout Signals: Labeled as "FALSE ▲" or "FALSE ▼" when price crosses a Daily VWAP band but reverses back, indicating a failed breakout.
Reversion Signals: Labeled as "▲ R ▬ BUY" or "▼ R ▬ SELL" at pivot points after price excesses beyond VWAP bands, confirmed by volume (if enabled).
Custom VWAP Signals: Labeled as "C-BUY" or "C-SELL" for rebounds off the Custom VWAP’s deviation bands, with configurable volume and candlestick filters.
Tactical Panel: Displays the latest signal, price, date, bias, compression status, trend direction, VWAP distances, volume state, and technical summary (slopes, band distances).
Best Practices:
Timeframe Selection: The indicator auto-scales parameters for different timeframes (Daily+, Intraday ≥1h, Sub-hour). Adjust settings like lookbackBars or devThreshold for specific timeframes if autoScaleReversion is disabled.
Signal Sensitivity: Increase signalSensitivity (e.g., 0.7) for stricter signals or decrease (e.g., 0.3) for more frequent signals. Adjust minConditions to balance signal frequency and reliability.
Volume Filters: Enable useVolumeGate or useLiquidityFilter for high-liquidity assets to reduce false signals in low-volume conditions.
Compression and Breakouts: Use compression zones to anticipate breakouts. Enable showBreakoutLabels and showfalseBreakoutLabels to monitor confirmed and failed breakouts.
Custom VWAP: Set a specific timeframe (e.g., 4 hours) for intraday trading or longer periods (e.g., 2 weeks) for swing trading. Enable showCustomSignalLabels for tailored signals.
Reversion Trading: Use reversion signals for mean-reversion strategies, especially in range-bound markets. Adjust devThreshold and pivotLength for sensitivity.
Tactical Panel: Use the detailed panel for a quick overview of market conditions. Compact mode is ideal for minimal screen clutter.
Alerts:
Set up alerts for:
Institutional Bias (Buy/Sell)
VWAP Compression (Start/End)
Basic Buy/Sell Signals
Reversion Signals (Buy/Sell)
Breakout Signals (Bullish/Bearish)
False Breakout Signals (Bullish/Bearish)
Custom VWAP Rebound Signals (Buy/Sell)
Weekly/Monthly/Yearly VWAP Rebound Signals
In TradingView, go to the Alerts tab, select the indicator, and choose the desired condition. Customize alert messages as needed.
Notes
Performance: The indicator uses max_bars_back=5000 and max_labels_count=500 to ensure compatibility with most assets. For low-liquidity assets, consider enabling useLiquidityFilter to avoid noisy signals.
Customization: Experiment with weights in the "Signal Weight Configuration" group to prioritize specific conditions (e.g., increase wReboundD for Daily VWAP rebounds).
Limitations: Signals are based on historical data and VWAP interactions. Always combine with other analysis tools and risk management strategies.
License: This indicator is released under the Mozilla Public License 2.0.
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.
Fundur - Trend TraderFundur - Trend Trader: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Trend Trader is a comprehensive dual-timeframe analysis indicator that combines fair value structure analysis, risk-reward calculations, and dynamic trend identification into one powerful trading tool. This indicator is designed to provide traders with precise entry and exit points while offering complete risk management insights.
What Makes Trend Trader Unique?
The Trend Trader goes beyond traditional pivot point indicators by introducing Fair Value Structure Analysis - a methodology that analyzes the relationship between two timeframes to determine market bias and optimal trading opportunities. Unlike static indicators, Trend Trader provides dynamic analysis that adapts to market conditions in real-time.
Core Methodology
The indicator operates on the principle that markets oscillate between Premium (overvalued) and Discount (undervalued) zones relative to fair value levels. By analyzing these zones across multiple timeframes, traders can identify high-probability trade setups with clearly defined risk-reward parameters.
Key Features
🎯 Dual-Timeframe Fair Value Analysis
Higher Timeframe Structure : Primary trend direction and major levels
Lower Timeframe Structure : Refined entry opportunities and micro-trend analysis
Dynamic Relationship : Real-time analysis of timeframe alignment
📊 Comprehensive Level System
Fair Value (FV) : Central equilibrium level for entries
Premium Levels (P1, P2, P3) : Sell zones with increasing distance from fair value
Discount Levels (D1, D2, D3) : Buy zones with increasing distance from fair value
🧠 Intelligent Trend Detection
Session-to-Session Analysis : Compares current vs previous session fair values
Trend Signals : Clear LONG/SHORT setup identification
Structure Bias : Bullish/Bearish fair value structure determination
⚖️ Advanced Risk-Reward System
Real-Time R:R Calculations : Dynamic risk-reward ratios for all levels
Leverage Recommendations : Optimal position sizing based on measured risk
Risk Percentage Display : Precise risk calculations for informed decisions
🎨 Smart Visual Features
Level Hit Tracking : Automatically darkens touched levels during session
Squeeze Detection : Identifies low-volatility periods with special bar coloring
Dynamic Highlighting : Price-responsive level emphasis
Zone Fills : Visual premium and discount area identification
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart
Click the "Indicators" button or press "/" key
Search for "Fundur - Trend Trader"
Add the indicator to your chart
Step 2: Basic Configuration
Timeframe Settings
Higher Timeframe : Default is Weekly (W), adjust based on your trading style:
Scalping : Use 4H for higher timeframe
Day Trading : Use Daily (D) for higher timeframe
Short-Term Swing Trading : Use Weekly (W) for higher timeframe
Long-Term Swing Trading : Use Monthly (M) for higher timeframe
Position Trading : Use Quarterly (3M) or Yearly (12M) for higher timeframe
History Bars :
Higher Timeframe: 10 bars (recommended)
Lower Timeframe: 50 bars (recommended)
Visual Settings
Line Widths : Adjust for visibility preference
Zone Fills : Enable for better visual zone identification
Bar Coloring : Enable structure and squeeze coloring
Step 3: Label Configuration
Essential Labels (Recommended Settings)
✅ Show All Labels: ON
✅ Show Trend Direction: ON
✅ Show Higher Timeframe Labels: ON
⚠️ Show Lower Timeframe Labels: OFF (avoid clutter initially)
✅ Show Price Values: ON
Label Style Options
Use Short Names : ON (P1, D2, FV instead of full names)
Combine Timeframe & Description : ON (creates compact labels like "W-FV")
Label Style : Choose between Modern or Classic
Step 4: Risk-Reward Setup
✅ Show Risk-Reward Analysis: ON
✅ Show Measured Risk Values: ON
✅ Apply Leverage to Calculations: ON
Leverage Multiplier : Start with 1.0, adjust based on your risk tolerance
Basic Trading Guide
Understanding Fair Value Structure
The indicator's foundation is the Fair Value Structure - the relationship between higher and lower timeframe fair value levels:
Bullish Structure (🔵)
Condition : Lower timeframe FV above higher timeframe FV
Bias : Look for LONG opportunities
Focus : Fair Value Structure for entries (continuation strategy)
Strategy : Enter long positions at Fair Value, take profits at Premium levels (P1, P2, P3)
Bearish Structure (🟠)
Condition : Lower timeframe FV below higher timeframe FV
Bias : Look for SHORT opportunities
Focus : Fair Value Structure for entries (continuation strategy)
Strategy : Enter short positions at Fair Value, take profits at Discount levels (D1, D2, D3)
Entry Strategies
Primary Strategy: Fair Value Continuation Entries
Setup : Price approaches fair value level with established structure bias
Entry : In Fair Value Structure (in between the lower timeframe and higher timeframe fair value)
Direction : Follow the structure bias (long in bullish structure, short in bearish structure)
Stop Loss: Two approaches available:
Advanced Method : Place stop shy of liquidation point to avoid liquidation
Hassle-Free Method : Previous high/low OR just beyond higher timeframe Fair Value
For Long Positions : Stop below higher timeframe Fair Value
For Short Positions : Stop above higher timeframe Fair Value
Profit Taking Strategy:
For Long Positions (Bullish Structure):
75% profits at Premium 1 (P1) - highest probability target
50% of remaining position at Premium 2 (P2)
Close entire position at Premium 3 (P3)
Move stop loss to break even after first profits
For Short Positions (Bearish Structure):
75% profits at Discount 1 (D1) - highest probability target
50% of remaining position at Discount 2 (D2)
Close entire position at Discount 3 (D3)
Move stop loss to break even after first profits
Alternative Strategy: Structure Transition Entries
Setup : Structure changes from bearish to bullish (or vice versa)
Entry : At new fair value level after structure confirmation
Risk Management : Tight stops during structure transition periods
Targets : Follow primary profit-taking methodology above
Risk Management Framework
Position Sizing Using Leverage Recommendations
The indicator calculates optimal leverage based on measured risk:
Conservative : Use 50% of recommended leverage
Moderate : Use 75% of recommended leverage
Aggressive : Use 100% of recommended leverage
Never exceed : 150% of recommended leverage
Stop Loss Placement
Follow the methodology outlined in the Primary Strategy section:
Advanced Method : Place stop shy of liquidation point to avoid forced liquidation
Hassle-Free Method : Use structural levels for clear invalidation
Long Positions : Stop below higher timeframe Fair Value
Short Positions : Stop above higher timeframe Fair Value
Alternative : Previous significant high/low levels
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Timeframe Settings:
Higher Timeframe: 4H (240)
Lower Timeframe: 1H (auto-calculated)
History: 5 bars for higher, 20 bars for lower
Visual Settings:
Enable all visual features for quick decision making
Use Classic label style for cleaner appearance
Enable squeeze coloring for volatility awareness
Trading Approach:
Focus on fair value continuation entries
Quick entries in fair value structure
Tight risk management using R:R table
Target P1/D1 levels for primary profits (75% position)
Setup 2: Day Trading Configuration (5-15 minute charts)
Timeframe Settings:
Higher Timeframe: Daily (D)
Lower Timeframe: 4H (auto-calculated)
History: 10 bars for higher, 30 bars for lower
Visual Settings:
Enable zone fills for clear premium/discount identification
Show both timeframe labels
Enable level hit tracking
Trading Approach:
Use structure bias for directional bias
Enter in fair value structure for continuation trades
75% profits at P1/D1, scale out to P2/D2, close at P3/D3
Hold positions across multiple sessions following structure
Setup 3: Short-Term Swing Trading Configuration (1-4 hour charts)
Timeframe Settings:
Higher Timeframe: Weekly (W)
Lower Timeframe: Daily (auto-calculated)
History: 15 bars for higher, 50 bars for lower
Visual Settings:
Emphasize higher timeframe levels
Show trend direction signals
Enable complete risk-reward analysis
Trading Approach:
Primary focus on higher timeframe structure
Patient entries in fair value structure
Follow standard profit-taking: 75% at P1/D1, scale to P3/D3
Use lower timeframe for refined fair value entries
Setup 4: Long-Term Swing Trading Configuration (4H charts)
Timeframe Settings:
Higher Timeframe: Monthly (M)
Lower Timeframe: Weekly (auto-calculated)
History: 20 bars for higher, 75 bars for lower
Visual Settings:
Clean label setup focusing on major levels
Enable trend direction for bias confirmation
Simplified visual approach for clarity
Trading Approach:
Monthly structure provides major trend direction
Entries in fair value structure
Hold positions for several weeks
Apply standard profit-taking methodology at premium/discount zones
Setup 5: Position Trading Configuration (Daily/Weekly charts)
Timeframe Settings:
Higher Timeframe: Quarterly (3M) or Yearly (12M)
Lower Timeframe: Monthly or Quarterly (auto-calculated)
History: 25 bars for higher, 100 bars for lower
Visual Settings:
Clean label setup focusing on key levels
Enable all alert systems
Simplified color scheme
Trading Approach:
Structure changes signal major macro trend shifts
Very patient entries in fair value structure confirmation
Long-term continuation trades targeting extended premium/discount levels
Hold positions for months to years following structure bias
Focus on major market cycles and long-term trend continuations
Setup 6: Multi-Asset Analysis Configuration
For Forex Pairs:
Adjust decimal precision for pip accuracy
Focus on daily/weekly structure
Use tight risk management due to leverage
For Crypto Assets:
Higher volatility requires wider stops
24/7 markets need continuous monitoring
Structure breaks often lead to extended moves
For Stock Indices:
Respect market hours for structure analysis
Economic events can override technical levels
Seasonal patterns affect structure behavior
Visual Components
Level Indicators
Solid Lines : Active levels based on current price position
Highlighted Levels : Levels within current price range
Darkened Levels : Previously touched levels during current session
Zone Fills
Red Zones : Premium areas (selling opportunities)
Green Zones : Discount areas (buying opportunities)
Cloud Fill : Area between dual timeframe fair values
Bar Coloring
Purple Bars : Squeeze conditions (low volatility)
Structure Colors : Based on price position relative to fair value levels
Labels and Information
Level Labels : Price values and targets for each level
Trend Signals : Clear LONG/SHORT setup indications
Risk-Reward Table : Comprehensive analysis panel
Risk Management
Built-in Risk Controls
Measured Risk System
The indicator automatically calculates risk percentages based on:
Distance from fair value to premium/discount levels
Current price position
Leverage settings applied
Optimal Leverage Calculations
Long Positions : Based on discount risk measurement
Short Positions : Based on premium risk measurement
Dynamic Adjustment : Changes with market conditions
Risk-Reward Ratios
Each level displays its R:R ratio considering:
Entry point (fair value or current price)
Target level
Stop loss level
Applied leverage
Recommended Risk Parameters
Conservative Trading
Maximum 1-2% risk per trade
Use 50% of recommended leverage
Target R:R ratios above 2:1
Focus on high-probability setups only
Moderate Trading
Maximum 2-3% risk per trade
Use 75% of recommended leverage
Accept R:R ratios above 1.5:1
Trade multiple setups with correlation awareness
Aggressive Trading
Maximum 3-5% risk per trade
Use up to 100% of recommended leverage
Accept R:R ratios above 1:1
Active management required
Alert System
Structure Alerts
Fair Value Structure Bullish : When structure turns bullish
Fair Value Structure Bearish : When structure turns bearish
Level Interaction Alerts
For each premium and discount level:
Touch Alerts : When price reaches the level
Cross Above : When price breaks above the level
Cross Below : When price breaks below the level
Range Alerts
Rising into FV : Price enters fair value range from below
Falling into FV : Price enters fair value range from above
Rising Above FV : Price breaks above fair value range
Falling Below FV : Price breaks below fair value range
Setting Up Alerts
Enable desired alert types in indicator settings
Create TradingView alerts using the indicator
Configure notification methods (email, SMS, app)
Test alerts with historical data first
Customization Options
Color Schemes
Fair Value Colors : Customize based on structure bias
Premium/Discount Colors : Match your chart theme
Dynamic Coloring : Automatically adjusts based on price position
Label Customization
Text Transparency : Adjust readability
Background Transparency : Control label prominence
Size Options : From tiny to large based on chart size
Position Options : Multiple screen positions available
Table Settings
Position : 9 different screen positions
Size : 4 size options for different screen resolutions
Transparency : Adjust for chart readability
Best Practices
Chart Setup Recommendations
Screen Real Estate Management
Use larger timeframes for cleaner appearance
Minimize lower timeframe labels on smaller screens
Position risk-reward table to avoid price action interference
Multi-Timeframe Analysis
Keep one chart with higher timeframe focus
Use secondary chart for lower timeframe entries
Synchronize timeframe selection across charts
Trading Psychology Integration
Patience with Structure
Wait for clear structure bias before trading
Avoid trading during structure transition periods
Respect the higher timeframe bias
Risk Management Discipline
Never ignore the calculated risk percentages
Use leverage recommendations as guidelines, not rules
Adjust position sizes based on market conditions
Entry Timing
Use lower timeframes for precise entries
Wait for price to reach significant levels
Confirm entries with additional confluence factors
Common Mistakes to Avoid
Over-Analysis
Don't wait for perfect setups that may never come
Focus on high-probability scenarios
Accept that not every level will hold
Ignoring Structure Bias
Don't fight the overall structure direction
Adjust strategies when structure changes
Respect multi-timeframe alignment
Poor Risk Management
Never risk more than the indicator suggests
Don't ignore stop loss levels
Avoid emotional position sizing
Advanced Techniques
Structure Transition Trading
Identify when structure is changing
Position for new bias direction
Use tight risk management during transitions
Level Confluence
Look for multiple level alignments
Combine with support/resistance
Use volume analysis for confirmation
Seasonal and Market Hour Awareness
Adjust for different market sessions
Consider seasonal patterns in structure
Account for economic calendar events
Conclusion
The Fundur - Trend Trader indicator represents a comprehensive approach to modern technical analysis, combining traditional pivot point methodology with advanced fair value structure analysis. By following the guidelines in this manual and adapting the settings to your trading style, you can harness the full power of this indicator for more informed and profitable trading decisions.
Remember that no indicator is perfect, and the Trend Trader should be used as part of a complete trading strategy that includes fundamental analysis, risk management, and proper psychology. Start with conservative settings and gradually increase sophistication as you become more familiar with the indicator's behavior in different market conditions.
For best results, practice with the indicator in demo accounts first, understand its behavior in various market conditions, and always prioritize risk management over profit potential.
Mid-Term Refuges by MFCMid-Term Refuges by MFC
Description in English
OverviewThe "Mid-Term Refuges by MFC" indicator is a versatile tool designed for TradingView, tailored for mid-term and short-term traders. It combines Classic Pivots, Higher Highs/Lower Highs/Lower Lows/Higher Lows (HH/HL/LL/LH), Daily/Weekly/Monthly/Annual Open Levels, Mid-Term Levels based on the annual open, and the All-Time High (ATH) level. Ideal for swing trading, day trading, and market structure analysis, it offers customizable visualizations to adapt to various trading styles and timeframes.
Key Features
1. Classic Pivots
Purpose: Displays pivot points (PP, S1, R1, S2, R2, S3, R3) calculated from the high, low, and close of a selected timeframe.
Visualization: Lines for the central pivot (PP), supports (S1, S2, S3), and resistances (R1, R2, R3), with customizable colors and styles.
Customization:
Enable/disable pivot lines and price labels.
Select pivot timeframe (1H, 4H, 8H, D, W, M, 12M).
Adjust colors, line thickness (1-4), and styles (solid, dashed, dotted).
Show pivots on all timeframes or only higher ones.
Display price values on lines with customizable text color and size.
2. HH/HL/LL/LH Pivots
Purpose: Identifies Higher Highs (HH), Lower Highs (LH), Lower Lows (LL), and Higher Lows (HL) to detect trend continuations or reversals.
Visualization: Dashed lines and labels at pivot points, with green for HH/LH and red for LL/HL.
Customization:
Enable/disable HH/HL/LL/LH pivots.
Adjust left/right bars (default: 5) for pivot sensitivity.
Set colors for each pivot type and limit historical pivots (up to 20).
Customize label text size and color.
3. Open Levels (Daily, Weekly, Monthly, Annual)
Purpose: Plots open prices for daily, weekly, monthly, and annual periods as key reference levels.
Visualization: Horizontal lines with labels showing the open price, updated at the start of each period.
Customization:
Enable/disable individual open levels.
Show on all timeframes or restrict to higher timeframes.
Adjust colors, line thickness (1-4), and styles (solid, dashed, dotted).
Display price labels with customizable text color and size.
4. Mid-Term Levels
Purpose: Displays upper (L1 to L8+) and lower (L-1 to L-8+) levels based on the annual open, calculated using customizable percentages.
Visualization: Dotted lines with labels for up to 8 default levels plus additional levels (up to 10).
Customization:
Enable/disable mid-term levels.
Set upper/lower percentages (default: 10%) and additional levels (0-10).
Adjust colors and line styles for primary and additional levels.
5. All-Time High (ATH)
Purpose: Tracks and displays the all-time high price of the asset.
Visualization: A horizontal line with a label at the ATH level, updated dynamically.
Customization:
Enable/disable ATH line and label.
Adjust color, line thickness (1-4), and style (solid, dashed, dotted).
Customize label text size and color.
6. Debugging Table
Purpose: Provides a table with real-time data for debugging and analysis.
Visualization: A table in the top-right corner showing pivot values, open levels, mid-term levels, and ATH.
Customization: Enable/disable the table.
Indicator Settings
General Settings
Show Debugging Table: Toggle the debugging table.
Pivot Timeframe: Select timeframe for classic pivots (1H, 4H, 8H, D, W, M, 12M).
Show Classic Pivots: Enable/disable classic pivot lines.
Show HH/HL/LL/LH Pivots: Enable/disable trend pivot lines.
Show Open Levels: Enable/disable daily, weekly, monthly, and annual open lines.
Classic Pivots
Colors and Styles: Set colors and styles (solid, dashed, dotted) for PP, S1, R1, S2, R2, S3, R3.
Line Thickness: Adjust line thickness (1-4).
Show Price Labels: Toggle price values on pivot lines.
Text Color and Size: Customize label appearance.
Enable on All Timeframes: Show pivots on intraday timeframes.
HH/HL/LL/LH Pivots
Left/Right Bars: Set sensitivity (default: 5 bars).
Colors: Green for HH/LH, red for LL/HL.
Max Historical Pivots: Limit displayed pivots (1-20).
Open Levels
Enable Daily/Weekly/Monthly/Annual: Toggle individual open levels.
Enable on All Timeframes: Show open levels on intraday timeframes.
Colors and Styles: Set colors and styles for each open level.
Line Thickness: Adjust thickness (1-4).
Show Price Labels: Toggle price values with customizable text color and size.
Mid-Term Levels
Enable Mid-Term Levels: Toggle upper/lower levels.
Upper/Lower Percentages: Set percentages (default: 10%).
Additional Levels: Add up to 10 extra levels.
Colors and Styles: Customize for primary and additional levels.
ATH
Show ATH: Toggle ATH line and label.
Color, Thickness, Style: Customize appearance.
Show Price Label: Toggle ATH price with customizable text.
How to Use
Add to Chart:
Search for "Mid-Term Refuges by MFC" in TradingView’s indicators and add it.
Initial Setup:
By default, all features (pivots, open levels, mid-term levels, ATH) are enabled.
Adjust colors, styles, percentages, and timeframes to match your strategy.
Interpretation:
Classic Pivots: Use PP, S1, R1, S2, R2, S3, R3 as support/resistance zones for entries, exits, or stops.
HH/HL/LL/LH Pivots: Identify trend direction (HH/HL for bullish, LL/LH for bearish) or reversals.
Open Levels: Use daily, weekly, monthly, and annual opens as key reference points for price reactions.
Mid-Term Levels: Monitor upper (L1 to L8+) and lower (L-1 to L-8+) levels for mid-term trend targets.
ATH: Track the all-time high as a critical resistance level.
Debugging Table: Review real-time values for pivots, opens, and levels.
Timeframes:
Ideal for swing trading (4H, D, W) and day trading (1H, 15M).
Enable "All Timeframes" for intraday analysis (1M, 5M).
Customization:
Adjust pivot sensitivity (left_bars, right_bars) for HH/HL/LL/LH.
Fine-tune percentages for mid-term levels and line styles for clarity.
Notes and Recommendations
Swing Trading: Use higher timeframes (4H, D, W) for classic pivots and mid-term levels to identify key zones.
Day Trading: Enable "All Timeframes" for open levels and pivots on lower timeframes (1M, 5M).
Avoid Clutter: Adjust text size or disable labels if the chart becomes crowded.
Testing: Experiment with pivot timeframes and mid-term level percentages for different markets (Forex, stocks, crypto).
Limitations: In low timeframes, HH/HL/LL/LH pivots may be sensitive to noise. Increase left_bars/right_bars for robustness.
OB/OS adaptative v1.1# OB/OS Adaptative v1.1 - Multi-Timeframe Adaptive Overbought/Oversold Indicator
## Overview
The `tradingview_indicator_emas.pine` script is a sophisticated multi-timeframe indicator designed to identify dynamic overbought and oversold levels in financial markets. It combines EMA (Exponential Moving Average) crossovers and Bollinger Bands across monthly, weekly, and daily timeframes to create adaptive support and resistance levels that adjust to changing market conditions.
## Core Functionality
### Multi-Timeframe Analysis
The indicator analyzes three timeframes simultaneously:
- **Monthly (M)**: Long-term trend identification
- **Weekly (W)**: Intermediate-term trend identification
- **Daily (D)**: Short-term volatility measurement
### Technical Indicators Used
- **EMA 9 and EMA 20**: For trend identification and momentum assessment
- **Bollinger Bands (20-period)**: For volatility measurement and extreme level identification
- **Price action**: For confirmation of level validity and signal generation
## Key Features
### Adaptive Level Calculation
The indicator dynamically determines overbought and oversold levels based on market structure and trend bias:
#### Monthly Level Logic
- **Bullish Bias** (when monthly open > EMA20):
- Oversold = lower of EMA9 or EMA20
- Overbought = upper of EMA9 or Bollinger Upper Band
- **Bearish/Neutral Bias** (when monthly open ≤ EMA20):
- Oversold = Bollinger Lower Band
- Overbought = upper of EMA20 or EMA9
#### Weekly Level Logic
- **Bullish Bias** (when weekly open > EMA20):
- Oversold = lower of EMA9 or EMA20
- Overbought = Bollinger Upper Band
- **Bearish/Neutral Bias** (when weekly open ≤ EMA20):
- Oversold = Bollinger Lower Band
- Overbought = upper of EMA20 or EMA9
#### Daily Level Logic
- Simple Bollinger Bands:
- Oversold = Bollinger Lower Band
- Overbought = Bollinger Upper Band
### Final Level Determination
The indicator combines all three timeframes through a weighted averaging process:
1. Calculates initial values as the average of monthly, weekly, and daily levels
2. Ensures mathematical consistency by enforcing overbought_final ≥ oversold_final using min/max functions
3. Calculates a midpoint average level as the center of the range
### Visual Elements
- **Dynamic Lines**: Draws horizontal lines for current and previous period overbought, oversold, and average levels
- **Labels**: Places clear textual labels at the start of each period
- **Color Coding**:
- Red for overbought levels (resistance)
- Green for oversold levels (support)
- Blue for average levels (pivot point)
- **Transparency**: Previous period lines use semi-transparent colors to distinguish between current and historical levels
### Update Mechanism
- **Calculation Day**: User-defined day of the week (default: Monday)
- On the specified calculation day, the indicator:
- Updates all levels based on previous bar's data
- Draws new lines extending forward for a user-defined number of days
- Maintains previous period lines for comparison and trend analysis
- Automatically deletes and recreates lines to ensure clean visualization
### Proximity Detection
- Alerts when price approaches overbought/oversold levels (configurable distance in percentage)
- Helps identify potential reversal zones before actual crossovers occur
- Distance thresholds are user-configurable for both overbought and oversold conditions
### Alert Conditions
The indicator provides four distinct alert types:
1. **Cross below oversold**: Triggered when price crosses below the oversold level
2. **Cross above overbought**: Triggered when price crosses above the overbought level
3. **Near oversold**: Triggered when price approaches the oversold level within the configured distance
4. **Near overbought**: Triggered when price approaches the overbought level within the configured distance
### Debug Mode
When enabled, displays comprehensive debug information including:
- Current values for all levels (oversold, overbought, average)
- Timeframe-specific calculations and raw data points
- System status information (current day, calculation day, etc.)
- Lines existence and timing information
- Organized in multiple labels at different price levels to avoid overlap
## Configuration Parameters
| Parameter | Default Value | Description |
|---------|---------------|-------------|
| Short EMA (9) | 9 | Length for short-term EMA calculation |
| Long EMA (20) | 20 | Length for long-term EMA calculation |
| BB Length | 20 | Period for Bollinger Bands calculation |
| Std Dev | 2.0 | Standard deviation multiplier for Bollinger Bands |
| Distance to overbought (%) | 0.5 | Percentage threshold for "near overbought" alerts |
| Distance to oversold (%) | 0.5 | Percentage threshold for "near oversold" alerts |
| Calculation day | Monday | Day of week when levels are recalculated |
| Lookback days | 7 | Number of days to extend previous period lines backward |
| Forward days | 7 | Number of days to extend current period lines forward |
| Show Debug Labels | false | Toggle for comprehensive debug information display |
## Trading Applications
### Primary Use Cases
1. **Reversal Trading**: Identify potential reversal zones when price approaches overbought/oversold levels
2. **Trend Confirmation**: Use the adaptive nature of levels to confirm trend strength and direction
3. **Position Sizing**: Adjust position size based on distance from key levels
4. **Stop Placement**: Use opposite levels as dynamic stop-loss references
### Strategic Advantages
- **Adaptive Nature**: Levels adjust to changing market volatility and trend structure
- **Multi-Timeframe Confirmation**: Signals are validated across multiple timeframes
- **Visual Clarity**: Clear color-coded lines and labels enhance decision-making
- **Proactive Alerts**: "Near" conditions provide early warnings before crossovers
## Implementation Details
### Data Security
Uses `request.security()` function to fetch data from higher timeframes (monthly, weekly) while maintaining proper bar indexing with ` ` offset for open prices.
### Performance Optimization
- Uses `var` keyword to declare persistent variables that maintain state across bars
- Efficient line and label management with proper deletion before recreation
- Conditional execution of debug code to minimize performance impact
### Error Handling
- Comprehensive NA (not available) checks throughout the code
- Graceful degradation when data is unavailable for higher timeframes
- Mathematical safeguards to prevent invalid level calculations
## Conclusion
The OB/OS Adaptative v1.1 indicator represents a sophisticated approach to identifying market extremes by combining multiple technical analysis concepts. Its adaptive nature makes it particularly useful in trending markets where static levels may be less effective. The multi-timeframe approach provides a comprehensive view of market structure, while the visual elements and alert system enhance its practical utility for active traders.
Stochastic Trend Signal with MTF FilterMulti-Timeframe Stochastic Trend Filter – Real Signals with Confirmation Candles
This script is a multi-timeframe Stochastic trend filter designed to help traders identify reliable BUY/SELL signals based on both momentum and higher-timeframe trend context.
It combines three key components:
Entry Signal Logic:
Entry is based on the Stochastic Oscillator (%K, 14,3), where overbought/oversold conditions are detected in the current chart's timeframe.
A green (bullish) candle following a red candle with %K below 20 can trigger a BUY signal.
A red (bearish) candle following a green candle with %K above 80 can trigger a SELL signal.
Trend Confirmation – Daily Filter:
The script uses Stochastic on the 1D (Daily) timeframe to determine whether short-term momentum aligns with a broader daily trend.
BUY signals are only allowed if the Daily %K is above 50.
SELL signals are only allowed if the Daily %K is below 50.
Long-Term Trend Filter – Weekly Stochastic:
A second filter uses Weekly %K:
BUY signals are suppressed if the Weekly trend is bearish (Weekly %K < 50) while Daily %K is bullish (> 50).
SELL signals are suppressed if the Weekly trend is bullish (Weekly %K > 50) while Daily %K is bearish (< 50).
🖼️ The chart background changes color to visually assist users:
Green background: bullish alignment on Daily and Weekly Stochastic.
Red background: bearish alignment.
Gray background: trend conflict (Daily and Weekly disagree).
✅ This script is ideal for swing traders or position traders who want to enter with confirmation while avoiding false signals during trend conflict zones.
🔔 Alerts are provided for BUY and SELL signals once all conditions are met.
How to use:
Apply on timeframe (4H recommended).
Add alerts for "BUY Alert" and "SELL Alert".
Use background color and plotted labels as entry filters.
Disclaimer: This is not financial advice. Always use proper risk management and test on demo accounts first.
Polaris Trend All-in-One📘 Polaris Trend Indicator: Trading Rules & Strategy
Guide
The Polaris Trend Indicator is designed to simplify trading decisions by identifying key entry
and exit signals without the need for excessive technical analysis. This system combines the
Polaris Trend with the Polaris Golden Wave and Market Bias tools to give you confidence
across multiple timeframes.
This guide outlines clear trading rules for two use cases:
● Swing Trading
● Long-Term Investing and Holding
⚡ Swing Trading Strategy
Swing trading can be challenging when the market direction is unclear. The Polaris Trend helps
traders stay on the right side of momentum with straightforward visual signals. This approach is
best used on the Daily or Weekly chart.
✅ Entry Criteria (Bullish Trades)
● A solid green column appears above the zero line.
● A green upward arrow confirms bullish momentum.
● Enter your trade immediately when the green column first appears.
● Hold the trade until a red column appears, signaling a shift in momentum.
🚫 Exit Criteria (Bullish Trades)
● The first appearance of a red column after a green run.
● Multiple green columns followed by a red column.
● Do not enter trades mid-trend; always enter on the first green flip.
***Recommended Swing Strategy
● When a new daily green column appears but the weekly columns are still red, stay
nimble. Enter your position when the Polaris Trend Indicator turns green and displays an
upward-pointing arrow.
● If the price pulls back to a higher low but a red daily column forms, sell 50% of your
position and move your stop loss to your original entry. Then, wait for the next daily
green column and arrow to reappear, this is your signal to reenter the 50% you exited.
● If the price continues to rise and the weekly columns also turn green, shift your focus
to the weekly chart. Ignore daily signals and hold the trade until the weekly column
turns red, which will be your cue to exit. The weekly green column is your confirmation of
a stronger uptrend and a potential longer hold.
🔻 Entry Criteria (Bearish Trades)
● A solid red column appears below the zero line.
● A red downward arrow confirms bearish momentum.
● Enter your short trade immediately when the red column first appears.
● Hold until a green column appears, indicating momentum has shifted.
🔁 Exit Criteria (Bearish Trades)
● The first green column that follows a red sequence.
● Same rule applies: enter only on the initial flip, not mid-trend.
Note: The first color flip is the most reliable entry point. Avoid entering positions
deep into a trend, wait for the clear signal from Polaris.
🧭 Long-Term Investing Strategy
This approach combines the Polaris Golden Wave, Polaris Trend, and Market Bias to help
long-term investors buy at deep value levels and scale into positions over time.
📉 Ideal Entry: Golden Zone + Polaris Trend Signal
● Use the Golden Wave to identify the monthly 0.618–0.826 retracement zone
(significant discount levels).
● When price enters the Golden Zone and the Polaris Trend shows a green column on
the Daily or Weekly, this is your optimal entry point.
● If the trend turns red inside the zone, consider trimming positions and re-entering on the
next bullish signal.
If price drops below the Golden Zone, the stock becomes even more undervalued,
wait for the next green Polaris Trend signal to enter.
💰 Secondary Entry: Market Bias Rebounds
● If you miss the Golden Zone entry or are dollar-cost averaging:
○ Use the Market Bias on a Weekly timeframe.
○ Wait for price to retrace into the Market Bias band after moving higher.
○ Look for a red Polaris Trend column, then wait for price to enter the Market
Bias band and once it enters, wait for Polaris Trend signal to flip back to green
for your entry. If the trend turns red inside the zone, consider trimming positions
and re-entering on the next bullish signal.
Think of the Market Bias like a lake and price like a skipping stone—you want to
buy when the stone comes down and touches the surface.
📊 Indicator Explanations
🔶 Golden Wave (Monthly Fibonacci Retracement Zones)
● Highlights key monthly retracement zones (0.618 to 0.826).
● Helps identify deep-value entries on longer timeframes.
● Visible across all chart timeframes for consistent macro reference.
🔴 Market Bias (Smoothed Heikin-Ashi Trend Filter)
● Measures trend direction and strength using smoothed Heikin-Ashi candles and
oscillation logic.
● Customizable smoothing, oscillator period, and timeframe inputs.
● Option to display trend signals in a separate pane with dynamic coloring.
This combined approach empowers traders to make high-quality decisions with clarity and
discipline. Whether you're entering short-term swings or building long-term positions, the
Polaris Trend system guides you with timely, data-driven signals.
Time Frame Color ClassifierTime Frame Colour Classifier
A professional Pine Script indicator that provides instant visual identification of trading sessions through intelligent colour-coded backgrounds.
Key Features
📅 Daily Session Colours
- Monday: Green | Tuesday: Blue | Wednesday: Yellow | Thursday: Red | Friday: Purple
📊 Weekly Classification
- Week 1-5 : Colour-coded by week of the month using the same colour scheme
## How It Works
Intraday Charts (1min-4H) : Shows daily colours - every candle on Monday displays green background, Tuesday shows blue, etc.
Daily/Weekly Charts : Switches to weekly colours - all days in Week 1 show green, Week 2 shows blue, etc.
Professional Applications
✅ Multi-Timeframe Analysis : Seamlessly switch between timeframes whilst maintaining visual context
✅ Session Recognition : Instantly identify which trading day you're analysing
✅ Pattern Analysis : Spot recurring patterns on specific days of the week
✅ Strategy Development : Incorporate temporal factors into trading strategies
✅ Performance Attribution : Correlate results with specific trading sessions
Customisation Options
- Toggle daily/weekly colours on/off
- Fully customisable colour schemes
- Adjustable background transparency
- Optional day labels
Technical Details
- Pine Script v5for optimal performance
- Automatic timeframe detection - no manual configuration required
- Minimal resource usage - won't slow down your charts
- Works on all chart types and timeframes
Perfect For
- Day traders switching between multiple timeframes
- Swing traders analysing weekly patterns
- Algorithmic strategy development
- Multi-timeframe market analysis
- Trading education and research
---
Developed by @wyckoffnawaf
Transform your chart analysis with visual timeframe clarity
Fibonacci Retracement levels Automatically D/W/MIndicator Description: Fibonacci Retracement levels Automatically
Fibonacci retracement levels based on the day, week, month High Low range and Fibonacci retracement levels draws automatically .This Pine Script indicator is designed to plot Fibonacci retracement levels based on the high and low prices of a user-selected timeframe (Daily, Weekly, or Monthly). It identifies bullish or bearish candles in the chosen timeframe, draws key price levels, and overlays Fibonacci retracement lines and semi-transparent colored boxes to highlight potential support and resistance zones. The indicator dynamically updates with each new period and extends lines, labels, and boxes to the current bar for real-time visualization. Key Features
1. Timeframe Selection: Users can choose the timeframe for analysis: Daily, Weekly, or Monthly via an input dropdown. The indicator retrieves the open, high, low, and close prices for the selected timeframe using `request.security`.
2. High and Low Tracking : Tracks the highest high and lowest low within the selected timeframe. Stores these values and their corresponding bar indices in arrays (`whigh`, `wlow`, `whighIdx`,`wlowIdx`). Limits the array size to the most recent period to optimize performance.
3. Bullish and Bearish Candle Detection : Identifies whether the previous period’s candle is bullish (`close > open`) or bearish (`close < open`). Uses this to determine the direction for Fibonacci retracement calculations. Bullish candle: Fibonacci levels are drawn from low to high
Bearish candle: Fibonacci levels are drawn from high to low
4. Fibonacci Retracement Levels : Plots Fibonacci levels at 0.236, 0.382, 0.5, 0.618, and 0.786 between the high and low of the period. For bullish candles, levels are calculated from the low (support) to the high (resistance). For bearish candles, levels are calculated from the high (resistance) to the low (support). Each Fibonacci level is drawn as a horizontal line with a unique color:
- 0.236: Blue
- 0.382: Purple
- 0.5: Yellow
- 0.618: Teal
- 0.786: Fuchsia
5. Visual Elements: - High/Low Lines and Labels: Draws a red line and label for the previous period’s high. Draws a green line and label for the previous period’s low. Fibonacci Lines and Labels: Each Fibonacci level has a horizontal line and a label displaying the ratio.
Colored Boxes: Semi-transparent boxes are drawn between consecutive Fibonacci levels (including high and low) to highlight zones.
6. Dynamic Updates:
- At the start of a new period (e.g., new week for Weekly timeframe), the indicator:
- Clears previous Fibonacci lines, labels, and boxes.
- Recalculates the high and low for the new period.
- Redraws lines, labels, and boxes based on the new data.
- Extends all lines, labels, and boxes to the current bar index for real-time tracking.
7. Performance Optimization:
- Deletes old lines, labels, and boxes to prevent clutter.
- Limits the storage of highs and lows to the most recent period.
How It Works
1. Initialization: Defines variables for tracking bullish/bearish candles, lines, labels, and arrays for Fibonacci levels and boxes. Sets up color arrays for Fibonacci lines and boxes with distinct, semi-transparent colors.
2. Data Collection: Fetches the previous period’s OHLC (open, high, low, close) using `request.security`. Detects new periods (e.g., new week or month) using `ta.change(time(tf))`.
3. Fibonacci Calculation: On a new period, stores the high and low prices and their bar indices.
- Identifies the maximum high and minimum low from the stored data. - Calculates Fibonacci levels based on the range (`maxHigh - minLow`) and the direction (bullish or bearish).
4. Drawing:
- Draws high/low lines and labels at the identified price levels. Plots Fibonacci retracement lines and labels for each ratio. Creates semi-transparent boxes between Fibonacci levels to visually distinguish zones.
5. Updates:
- Extends all lines, labels, and boxes to the current bar index when a new period is detected. Clears old Fibonacci elements to avoid overlap and ensure clarity.
Usage
- Purpose: This indicator is useful for traders who use Fibonacci retracement levels to identify potential support and resistance zones in financial markets.
- Application:
- Select the desired timeframe (Daily, Weekly, Monthly) via the input settings.
- The indicator automatically plots the previous period’s high/low and Fibonacci levels on the chart.
- Use the labeled Fibonacci levels and colored boxes to identify key price zones for trading decisions.
- Customization:
- Modify the `timeframe` input to switch between Daily, Weekly, or Monthly analysis.
- Adjust the `fibLineColors` and `fibFillColors` arrays to change the visual appearance of lines and boxes.
- The indicator is designed for use on TradingView with Pine Script.
- The maximum array size for highs/lows is limited to 1 period in this version (can be adjusted by modifying the `array.shift` logic).
- The indicator dynamically updates with each new period, ensuring real-time relevance.
This indicator make educational purpose use only
National Financial Conditions Index (NFCI)This is one of the most important macro indicators in my trading arsenal due to its reliability across different market regimes. I'm excited to share this with the TradingView community because this Federal Reserve data is not only completely free but extraordinarily useful for portfolio management and risk assessment.
**Important Disclaimers**: Be aware that some NFCI components are updated only monthly but carry significant weighting in the composite index. Additionally, the Fed occasionally revises historical NFCI data, so historical backtests should be interpreted with some caution. Nevertheless, this remains a crucial leading indicator for financial stress conditions.
---
## What is the National Financial Conditions Index?
The National Financial Conditions Index (NFCI) is a comprehensive measure of financial stress and liquidity conditions developed by the Federal Reserve Bank of Chicago. This indicator synthesizes over 100 financial market variables into a single, interpretable metric that captures the overall state of financial conditions in the United States (Brave & Butters, 2011).
**Key Principle**: When the NFCI is positive, financial conditions are tighter than average; when negative, conditions are looser than average. Values above +1.0 historically coincide with financial crises, while values below -1.0 often signal bubble-like conditions.
## Scientific Foundation & Research
The NFCI methodology is grounded in extensive academic research:
### Core Research Foundation
- **Brave, S., & Butters, R. A. (2011)**. "Monitoring financial stability: A financial conditions index approach." *Economic Perspectives*, 35(1), 22-43.
- **Hatzius, J., Hooper, P., Mishkin, F. S., Schoenholtz, K. L., & Watson, M. W. (2010)**. "Financial conditions indexes: A fresh look after the financial crisis." *US Monetary Policy Forum Report*, No. 23.
- **Kliesen, K. L., Owyang, M. T., & Vermann, E. K. (2012)**. "Disentangling diverse measures: A survey of financial stress indexes." *Federal Reserve Bank of St. Louis Review*, 94(5), 369-397.
### Methodological Validation
The NFCI employs Principal Component Analysis (PCA) to extract common factors from financial market data, following the methodology established by **English, W. B., Tsatsaronis, K., & Zoli, E. (2005)** in "Assessing the predictive power of measures of financial conditions for macroeconomic variables." The index has been validated through extensive academic research (Koop & Korobilis, 2014).
## NFCI Components Explained
This indicator provides access to all five official NFCI variants:
### 1. **Main NFCI**
The primary composite index incorporating all financial market sectors. This serves as the main signal for portfolio allocation decisions.
### 2. **Adjusted NFCI (ANFCI)**
Removes the influence of credit market disruptions to focus on non-credit financial stress. Particularly useful during banking crises when credit markets may be impaired but other financial conditions remain stable.
### 3. **Credit Sub-Index**
Isolates credit market conditions including corporate bond spreads, commercial paper rates, and bank lending standards. Important for assessing corporate financing stress.
### 4. **Leverage Sub-Index**
Measures systemic leverage through margin requirements, dealer financing, and institutional leverage metrics. Useful for identifying leverage-driven market stress.
### 5. **Risk Sub-Index**
Captures market-based risk measures including volatility, correlation, and tail risk indicators. Provides indication of risk appetite shifts.
## Practical Trading Applications
### Portfolio Allocation Framework
Based on the academic research, the NFCI can be used for portfolio positioning:
**Risk-On Positioning (NFCI declining):**
- Consider increasing equity exposure
- Reduce defensive positions
- Evaluate growth-oriented sectors
**Risk-Off Positioning (NFCI rising):**
- Consider reducing equity exposure
- Increase defensive positioning
- Favor large-cap, dividend-paying stocks
### Academic Validation
According to **Oet, M. V., Eiben, R., Bianco, T., Gramlich, D., & Ong, S. J. (2011)** in "The financial stress index: Identification of systemic risk conditions," financial conditions indices like the NFCI provide early warning capabilities for systemic risk conditions.
**Illing, M., & Liu, Y. (2006)** demonstrated in "Measuring financial stress in a developed country: An application to Canada" that composite financial stress measures can be useful for predicting economic downturns.
## Advanced Features of This Implementation
### Dynamic Background Coloring
- **Green backgrounds**: Risk-On conditions - potentially favorable for equity investment
- **Red backgrounds**: Risk-Off conditions - time for defensive positioning
- **Intensity varies**: Based on deviation from trend for nuanced risk assessment
### Professional Dashboard
Real-time analytics table showing:
- Current NFCI level and interpretation (TIGHT/LOOSE/NEUTRAL)
- Individual sub-index readings
- Change analysis
- Portfolio guidance (Risk On/Risk Off)
### Alert System
Professional-grade alerts for:
- Risk regime changes
- Extreme stress conditions (NFCI > 1.0)
- Bubble risk warnings (NFCI < -1.0)
- Major trend reversals
## Optimal Usage Guidelines
### Best Timeframes
- **Daily charts**: Recommended for intermediate-term positioning
- **Weekly charts**: Suitable for longer-term portfolio allocation
- **Intraday**: Less effective due to weekly update frequency
### Complementary Indicators
For enhanced analysis, combine NFCI signals with:
- **VIX levels**: Confirm stress readings
- **Credit spreads**: Validate credit sub-index signals
- **Moving averages**: Determine overall market trend context
- **Economic surprise indices**: Gauge fundamental backdrop
### Position Sizing Considerations
- **Extreme readings** (|NFCI| > 1.0): Consider higher conviction positioning
- **Moderate readings** (|NFCI| 0.3-1.0): Standard position sizing
- **Neutral readings** (|NFCI| < 0.3): Consider reduced conviction
## Important Limitations & Considerations
### Data Frequency Issues
**Critical Warning**: While the main NFCI updates weekly (typically Wednesdays), some underlying components update monthly. Corporate bond indices and commercial paper rates, which carry significant weight, may cause delayed reactions to current market conditions.
**Component Update Schedule:**
- **Weekly Updates**: Main NFCI composite, most equity volatility measures
- **Monthly Updates**: Corporate bond spreads, commercial paper rates
- **Quarterly Updates**: Banking sector surveys
- **Impact**: Significant portion of index weight may lag current conditions
### Historical Revisions
The Federal Reserve occasionally revises NFCI historical data as new information becomes available or methodologies are refined. This means backtesting results should be interpreted cautiously, and the indicator works best for forward-looking analysis rather than precise historical replication.
### Market Regime Dependency
The NFCI effectiveness may vary across different market regimes. During extended sideways markets or regime transitions, signals may be less reliable. Consider combining with trend-following indicators for optimal results.
**Bottom Line**: Use NFCI for medium-term portfolio positioning guidance. Trust the directional signals while remaining aware of data revision risks and update frequency limitations. This indicator is particularly valuable during periods of financial stress when reliable guidance is most needed.
---
**Data Source**: Federal Reserve Bank of Chicago
**Update Frequency**: Weekly (typically Wednesdays)
**Historical Coverage**: 1973-present
**Cost**: Free (public Fed data)
*This indicator is for educational and analytical purposes. Always conduct your own research and risk assessment before making investment decisions.*
## References
Brave, S., & Butters, R. A. (2011). Monitoring financial stability: A financial conditions index approach. *Economic Perspectives*, 35(1), 22-43.
English, W. B., Tsatsaronis, K., & Zoli, E. (2005). Assessing the predictive power of measures of financial conditions for macroeconomic variables. *BIS Papers*, 22, 228-252.
Hatzius, J., Hooper, P., Mishkin, F. S., Schoenholtz, K. L., & Watson, M. W. (2010). Financial conditions indexes: A fresh look after the financial crisis. *US Monetary Policy Forum Report*, No. 23.
Illing, M., & Liu, Y. (2006). Measuring financial stress in a developed country: An application to Canada. *Bank of Canada Working Paper*, 2006-02.
Kliesen, K. L., Owyang, M. T., & Vermann, E. K. (2012). Disentangling diverse measures: A survey of financial stress indexes. *Federal Reserve Bank of St. Louis Review*, 94(5), 369-397.
Koop, G., & Korobilis, D. (2014). A new index of financial conditions. *European Economic Review*, 71, 101-116.
Oet, M. V., Eiben, R., Bianco, T., Gramlich, D., & Ong, S. J. (2011). The financial stress index: Identification of systemic risk conditions. *Federal Reserve Bank of Cleveland Working Paper*, 11-30.
ds-Volume with Flags & Alerts v1.2ds-Volume with Flags & Alerts: User & Training Guide
1. Summary of Features
This indicator is a powerful, all-in-one tool designed to give you a deep and customizable view of market volume. By analyzing volume in multiple ways, it helps you spot unusual activity, confirm trends, and identify potential reversals.
How It Helps a Trader:
Spotting Institutional Activity: The core purpose of the Volume Flags (using either the Multiplier or Standard Deviation method) is to highlight bars with exceptionally high volume. These spikes often signal the entry or exit of large institutional players. A high-volume up-bar can confirm bullish conviction, while a high-volume down-bar can signal significant selling pressure.
Identifying Climactic Events: The HVE (Highest Volume Ever) and HV1 (Highest Volume - 1 Year) labels automatically pinpoint the most significant volume events on the chart. A "blow-off top" at the end of a long uptrend or a "capitulation" event at a market bottom is almost always accompanied by an HVE or HV1 bar. These are critical moments to watch for potential trend reversals.
Gauging Buying vs. Selling Pressure: The Up/Down Volume Ratio gives you a more nuanced view than volume alone. A ratio consistently above 1.2 suggests that buyers are more aggressive, while a ratio below 0.8 suggests sellers are in control. Watching this ratio can help you confirm the strength of a trend or spot divergences where price is rising but the ratio is falling (a potential warning sign).
Visual Confirmation & Customization: With options to color both the volume bars and the main price bars, you can get instant visual confirmation of these events without having to look away from the price action. The ability to toggle features on and off keeps your chart clean and focused on what matters most to you.
Actionable Alerts: The comprehensive alert system ensures you don't miss a key event. You can be notified of everything from a new all-time high volume bar to a subtle shift in the Up/Down Volume Ratio, allowing you to react to market changes in real-time.
2. User-Changeable Options
This indicator is highly customizable. Here is a breakdown of every setting available in the "Inputs" tab.
General Settings
MA Length: The lookback period for the simple moving average (the gray area plot) of the volume.
Volume Flags
Color Price Bars with Flags: If checked, the main price bars on your chart will be colored when a high or low volume flag condition is met.
Color Volume Bars with Flags: If checked, the volume bars in the indicator pane will be colored for flag conditions.
Flag Calculation Method: This is a crucial setting.
Multiplier (Default): Identifies high volume based on a simple multiple of the average volume (e.g., volume is 1.4x its average). It's simple and intuitive.
Standard Deviation: Identifies high volume based on how statistically unusual it is compared to its recent behavior. This method is more adaptive to changing market volatility.
Daily/Weekly Lookback (Multiplier): Sets the lookback period for calculating the average volume when using the "Multiplier" method.
Daily/Weekly High-Vol Multiplier: Sets the multiplier for a high volume event (e.g., 1.4).
STDEV Length (Daily/Weekly): Sets the lookback period for calculating the average and standard deviation when using the "Standard Deviation" method.
STDEV Threshold (Daily/Weekly): Sets the number of standard deviations above the average required to trigger a high volume flag (e.g., 2.0).
Daily/Weekly Low-Vol Multiplier: Sets the threshold for a low volume event (e.g., 0.5 means volume is less than 50% of its average). This is always based on the multiplier method.
Ratios & Stats
Up/Down Ratio Daily/Weekly Lookback: Sets the lookback period for calculating the sum of up volume and down volume for the ratio.
Ratio Calculation Method:
Close vs. Open: Defines an "up volume" bar as one where the close is higher than the open.
Close vs. Previous Close (Default): Defines an "up volume" bar as one where the close is higher than the previous bar's close. This is a common standard.
Up Ratio Arrow Threshold: If the U/D Ratio exceeds this value, a green "up" arrow will appear.
Show Up Ratio Arrow: Toggles the visibility of the green "up" arrow.
Down Ratio Arrow Threshold: If the U/D Ratio falls below this value, a red "down" arrow will appear.
Show Down Ratio Arrow: Toggles the visibility of the red "down" arrow.
Psychological Levels Indicator🧠 Psychological Levels Indicator
The Psychological Levels Indicator is a dynamic intraday trading tool that automatically identifies, adapts, and projects psychological price zones based on market structure and volatility. It integrates a layered calculation engine built around weekly price behavior to deliver actionable levels and trend bias.
🔍 Core Methodology
Weekly Foundation Logic:
The first psychological high and low of the current week form the initial range (spread). This spread becomes the anchor for the rest of the week’s levels.
Breakout-Based Scaling:
The indicator detects the largest directional breakout from the previous week's psychological high or low. This move determines how many dynamic levels are generated for the current week, scaled proportionally to the current spread.
Directional Bias Formation:
Typically, the tool respects levels mostly in one direction (based on the breakout bias) early in the week, while adjusting if a stronger directional move is established midweek.
✨ What Makes It Unique
Automatic Asset Detection:
Automatically adjusts calculations based on whether the chart is Forex, Crypto, Stocks, or Indices – with an optional manual override.
Dynamic Extra Levels:
Extra psychological levels are calculated using dynamic array logic, scaling with weekly volatility. This mirrors a manual process developed by trader Dave (HaighTech), now fully automated.
Live Weekly Tracking:
Users can choose to automatically track this week’s evolving high/low range or manually input fixed boundaries.
Midpoints & Multi-Tiered Zones:
Each main and extra level is optionally split into midpoints, providing granular insight and tighter control.
⚙️ Features & Usage
Custom Display Controls:
Independently toggle standard levels, extra breakout levels, labels, and historical data.
Smart Session Handling:
Correct timezone & DST awareness for NY, UK, and Sydney markets. Weekly/daily start logic adapts per asset type.
Advanced Volatility Mapping:
Includes weekly high, low, and average levels, as well as a rolling monthly average based on the prior breakout structure.
Alerts & Backtesting:
Alerts trigger on price interaction with key levels. Historical plots enable review and strategy refinement.
✅ Ideal For Traders Who Want To:
Trade using psychological zones and adaptive breakout logic
Project early-week levels and adapt to real-time market direction
Use auto-adjusting support/resistance levels tailored to volatility
Leverage manually inspired but automated zone mapping for faster decision-making
Dividers Timeframe/Session/Calendar-Based [ARTech]Dividers Timeframe/Session/Calendar-Based
This indicator provides customizable visual dividers for multiple timeframes, trading sessions, and calendar-based periods (daily, weekly, monthly). It helps traders visually separate chart areas by key time boundaries without cluttering the chart with price lines.
Key Features:
Multi-Timeframe Dividers: Select up to 4 timeframes (e.g., 60 min, 4 hours, daily, weekly) to display customizable lines marking the start of each timeframe’s candle.
Session Dividers: Define up to 4 trading sessions with user-defined time zones, colors, and active weekdays. The indicator highlights the session’s highest and lowest price range using a box, and compares the session’s opening and closing prices. Based on this comparison, it displays a green or red emoji to indicate bullish or bearish sessions, making it easy to identify session momentum visually.
Calendar-Based Dividers: Enable daily, weekly, or monthly background color zones, with individual toggles and color settings for each day, week, or month. Perfect for visually distinguishing trading periods.
Why use this indicator?
Divider Indicator helps keep your chart organized by visually segmenting timeframes, sessions, and calendar periods, aiding in better analysis of price action relative to important time boundaries.
How to Use
███████ Timezone ███████
A valid timezone name exactly as it appears in the chart’s lower-right corner (e.g. New York, London).
A valid UTC offset in ±H:MM or ±HH:MM format. Hours: 0–14 (zero-padded or not, e.g. +1:30, +01:30, -0:00). Minutes: Must be 00, 15, 30, or 45.
Examples;
UTC → ✅ Valid
Exchange → ✅ Valid
New York → ✅ Valid
London → ✅ Valid
Berlin → ✅ Valid
America/New York → ❌ Invalid. (Use "New York" instead)
+1:30 → ✅ Valid offset with single-digit hour
+01:30 → ✅ Valid offset with zero-padded hour
-05:00 → ✅ Valid negative offset
-0:00 → ✅ Valid zero offset
+1:1 → ❌ Invalid (minute must be 00, 15, 30, or 45)
+2:50 → ❌ Invalid (minute must be 00, 15, 30, or 45)
+15:00 → ❌ Invalid (hour must be 14 or below)
███████ Timeframe ███████
Use this section to display vertical divider lines at the opening of higher timeframe candles (e.g., 1H, 4H, Daily, Weekly). This helps visually separate price action according to larger market structures.
1. Enable a Timeframe:
Turn on one or more timeframes (e.g., 60, 240, D, W) by checking their respective toggle boxes.
2. Lines Mark Candle Opens:
Each active timeframe will draw a vertical line at the start of its candle , making it easier to align intraday moves with larger timeframe shifts.
3. Customize Line Style:
For each timeframe, you can individually set:
Line Style: Solid, dashed, or dotted.
Line Width: From 1 to 10 pixels.
Line Color: Pick any color to match your chart theme.
Opacity: Use transparent colors to avoid overwhelming the chart.
4. Use Multiple Timeframes Together:
You can enable multiple timeframe dividers simultaneously. To maintain clarity:
Use distinct colors for each timeframe.
Use thinner or dotted lines for lower timeframes and bolder lines for higher ones.
Match line style and color intensity to reflect timeframe importance. (e.g., a thick green solid line for Weekly, a thin gray dotted line for 1H)
5. Visual Tip:
These dividers are especially useful for identifying higher timeframe candle opens during intraday trading, spotting breaks above/below previous candle ranges, or aligning session-based strategies with higher timeframe trends.
███████ Session ███████
Use this section to visually highlight specific trading sessions (e.g., London, New York, Tokyo, Sydney) on your chart using time zones, session ranges, and optional weekday filters. This helps focus your analysis on active market hours.
1. Enable a Session:
Activate up to 4 separate trading sessions. Each session can be named (e.g., "London") and customized independently.
2. Set Session Time and Days:
Define session time using the hhmm-hhmm format. (e.g., 0800-1700)
Select which days of the week the session applies to (Sunday through Saturday)
Set your preferred time zone (UTC, Exchange, etc.) from the global settings.
3. Session Box Drawing:
For each active session, the indicator will:
Draw a background-colored box from the session’s start to end time.
Stretch the box to fit the highest and lowest price within that time window.
Draw an outline using customizable border style and width.
4. Session Labels and Directional Hints:
Optionally display the session’s name as a label.
The indicator compares the session’s opening and closing prices . Based on the result:
📈 Green emoji shows a bullish session (close >= open)
📉 Red emoji shows a bearish session (close < open)
5. Display Options:
Show all sessions, only the last session, or a specific number of previous sessions.
Customize label size, location (top/bottom), and whether it appears inside or outside the box.
Adjust background opacity to blend the sessions neatly into your chart.
6. Visual Tip:
Session boxes are particularly useful for:
Spotting repeated highs/lows during active trading hours.
Recognizing session-based breakouts or consolidations.
Comparing performance across different markets and time zones.
███████ Calendar-Based ███████
This section helps you visually segment your chart based on calendar periods: daily, weekly, and monthly. You can enable background color highlighting for individual days, weeks, or months to better track price movements within these time frames.
1. Enable Daily, Weekly, or Monthly Highlighting:
Toggle on the options for Daily, Weekly, and/or Monthly highlighting according to your needs.
2. Select Specific Days, Weeks, or Months:
For Daily, enable any combination of days (up to 7) to color-code.
For Weekly, enable up to 5 weeks per month to cover partial weeks.
For Monthly, enable up to 12 months with individual toggles and colors.
3. Customize Colors for Each Period:
Assign distinct colors to each day, week, or month for easy differentiation. Choose hues that stand out but avoid colors that are too close in tone for adjacent periods.
4. Background Opacity:
Adjust the opacity level of the background coloring to ensure it complements your chart without obscuring price data.
5. Handling Partial Weeks and Overlaps:
The weekly highlighting accounts for months that span 4 to 6 weeks by allowing toggles up to 5 weeks, including weeks that may partially overlap with previous or next months.
6. Visual Tip:
Calendar-based backgrounds are excellent for:
Quickly identifying price behavior within specific calendar units.
Comparing price action across days, weeks, or months.
Spotting seasonal trends or recurring patterns tied to calendar cycles.
45pointsJ3FF Enhanced# 45pointsJ3FF Enhanced Pine Script Indicator
This is a comprehensive multi-timeframe support and resistance indicator for TradingView that displays key price levels and VWAP (Volume Weighted Average Price) across different time periods.
## 🎯 **Core Functionality**
The indicator plots critical price levels from multiple timeframes simultaneously on your chart, helping traders identify key support/resistance zones and volume-based price levels.
## 📊 **Key Levels Displayed**
### **Multi-Timeframe Levels:**
- **Daily**: Open, High, Low + Previous Day levels
- **Weekly**: Open, High, Low + Previous Week levels
- **Monthly**: Open, High, Low + Previous Month levels
- **Yearly**: Open, High, Low + Previous Year levels
### **Equilibrium Levels:**
- **50% Retracement** levels for previous periods (midpoint between high and low)
- Helps identify potential reversal zones
### **VWAP Levels:**
- **Daily VWAP**: Volume-weighted average for current day
- **Weekly VWAP**: Custom calculation for current week
- **Monthly VWAP**: Custom calculation for current month
- **Yearly VWAP**: Custom calculation for current year
## ⚙️ **Customization Options**
### **Display Controls:**
- **Individual toggles** for each timeframe (Daily/Weekly/Monthly/Yearly)
- **Previous period toggles** to show/hide historical levels
- **Line extension options**: Short, Right, Both
- **Adjustable line width** (1-3 pixels)
### **Visual Customization:**
- **Custom colors** for each timeframe
- **Individual line styles** (Solid, Dashed, Dotted) for each timeframe
- **Price labels** can be toggled on/off for lines and VWAPs
### **Price Table Features:**
- **Comprehensive side table** showing all active level prices
- **4 position options**: Top/Bottom + Left/Right corners
- **3 size options**: Small, Normal, Large
- **Color-coded entries** matching chart lines
- **Auto-filtering**: Only shows enabled levels
## 🔧 **Technical Implementation**
### **VWAP Calculations:**
- **Daily**: Uses built-in `ta.vwap()` function
- **Weekly/Monthly/Yearly**: Custom accumulative calculations using volume-weighted price averaging
- **Timeframe Detection**: Higher timeframe VWAPs only show on intraday charts
### **Higher Timeframe Data:**
- Uses `request.security()` to fetch OHLC data from higher timeframes
- **Lookahead enabled** for real-time updates
- **Previous period data** accessed using ` ` historical referencing
### **Drawing System:**
- **Dynamic line drawing** with customizable extension
- **Smart labeling system** with price formatting
- **Tick-rounded prices** for clean display
- **Performance optimized** with conditional drawing
## 📈 **Trading Applications**
### **Support & Resistance:**
- **Previous day/week/month highs and lows** act as key S/R levels
- **Opening levels** often serve as pivot points
- **Equilibrium levels** (50% retracements) are common reversal zones
### **VWAP Trading:**
- **Daily VWAP**: Intraday trend direction and mean reversion
- **Higher timeframe VWAPs**: Longer-term trend bias
- **Multiple VWAP confluence** creates stronger levels
### **Multi-Timeframe Analysis:**
- **Level confluence**: Multiple timeframes aligning creates stronger zones
- **Trend context**: Higher timeframe levels provide broader market context
- **Entry/Exit planning**: Previous period levels help plan trades
## 🎨 **Visual Organization**
### **Color Coding:**
- **Blue**: Daily levels (default)
- **Yellow**: Weekly levels (default)
- **Purple**: Monthly levels (default)
- **Red**: Yearly levels (default)
- **Transparency**: Previous period levels shown in lighter shades
### **Line Styles:**
- **Solid lines**: Current period highs/lows
- **Dashed lines**: Opening levels
- **Dotted lines**: Previous period levels
- **Thick lines**: VWAP plots (2px width)
## 🔍 **Unique Features**
1. **Custom VWAP calculations** for weekly/monthly/yearly periods
2. **Intelligent table display** that only shows active levels
3. **Comprehensive customization** without overwhelming interface
4. **Performance optimized** with conditional rendering
5. **Professional presentation** with watermark and clean styling
This indicator is particularly valuable for traders who use multiple timeframe analysis and want a clean, organized way to visualize key price levels and volume-based averages all in one tool.
10x HTF Candles Dynamic with LTF FVG and Key LevelsPurpose
The 10x HTF Candles Dynamic Pine Script is a versatile, all-in-one trading tool designed for TradingView to empower traders with actionable insights across multiple timeframes. It combines advanced price action analysis, Fair Value Gap (FVG) detection, market structure evaluation, and key level visualization into a single, highly customizable interface. Built for day traders, swing traders, and scalpers, this script enhances decision-making by providing a clear, multi-dimensional view of market dynamics, liquidity zones, and trend biases. Its purpose is to streamline technical analysis, reduce chart clutter, and deliver real-time, visually intuitive data to support precise trading strategies.
What the Script Does
How the Script Works:
The script leverages Pine Script v5’s advanced features to deliver a robust and efficient trading tool. Below is a step-by-step explanation of its functionality:
1. Initialization and Configuration:
- Initializes with @version=5, enabling dynamic requests, and sets limits for bars (500), lines, labels, boxes, and polylines to manage resources.
- Defines user inputs for candle settings, timeframe selection, FVG parameters, DWM levels, market structure table, and visual preferences.
- Dynamically calculates 10 higher timeframes based on the current chart timeframe (e.g., 1m chart → 5m, 15m, 60m, etc.) or allows custom timeframes.
2. Data Acquisition:
- Fetches OHLC data for up to 10 timeframes using request.security, storing it in optimized TfData objects (arrays for open, high, low, close).
- Loops through enabled timeframes to minimize redundant code, improving processing speed.
3. Candlestick Rendering:
- Draws HTF candlesticks at user-defined offsets, with customizable bullish/bearish colors, wick colors, and widths.
- Calculates bar types (Inside, Normal, Outside) and optionally labels them above candles for pattern analysis.
4. FVG Detection and Visualization:
- Scans for FVGs by comparing candle highs and lows across three bars (e.g., low of candle 1 > high of candle 3 for bullish FVG).
- Detects IFVGs based on user-selected methods (wick, close, or midpoint) and highlights them with distinct colors.
- Draws FVG boxes with configurable borders, midpoint lines, and labels, tracking mitigation status.
- Limits FVG display to a user-defined maximum (1–200) to maintain chart clarity.
5. Horizontal Levels and DWM Lines:
- Computes Highs, Lows, Midpoints, and Quarter Points for each timeframe, drawing lines with customizable styles and extensions.
- Plots DWM open, close, high, low, and control point lines, with optional alerts for high/low breaks.
- Supports session-based opening price lines (e.g., 09:30 Market Open) with similar customization.
6. Market Structure and Bias:
Calculates trend bias by comparing the current close to the midpoint of the timeframe’s range (highest high to lowest low).
Updates a market structure table with timeframe, bias, and premium/discount status, using color-coded cells for quick interpretation.
7. Countdown Timers:
- Converts timeframe strings to seconds and calculates the time remaining until the next candle using timenow.
- Renders countdown labels with timeframe names (e.g., “1h\n(00:45)”) at user-defined positions.
8. Optimization and Cleanup:
- Uses VisualElements UDTs to manage lines, wicks, and labels, reducing memory usage.
- Deletes outdated drawings when limits are exceeded, ensuring a clean and responsive chart.
- Employs loops and arrays to streamline repetitive tasks, enhancing performance.
How to Use the Script:
This script is user-friendly yet powerful, suitable for traders of all experience levels. Follow these steps to maximize its potential:
1. Add to TradingView:
- Copy the script into TradingView’s Pine Editor.
- Click “Add to Chart” to apply it to your active chart.
2. Customize Settings:
- Candle Settings: Adjust the number of candles (1–10), starting position, group spacing, bullish/bearish colors, wick colors, and candle width.
- Timeframe Settings: Enable/disable up to 10 timeframes, choosing dynamic (auto-selected) or custom timeframes (e.g., 3m, 60m, D).
- FVG Settings: Toggle FVG detection, set detection methods (wick/close/midpoint), adjust thresholds, and customize colors, borders, and midpoint lines.
- DWM Settings: Enable daily/weekly/monthly lines (open, close, high, low, midpoint), set colors, and configure alerts for high/low breaks.
- Market Structure Table: Show/hide columns for timeframe, trend bias, and premium/discount, and adjust table position (top-left, bottom-right, etc.).
- Countdown Timers: Enable timers, adjust offsets, and customize text/background colors.
- Label Settings: Configure price label precision, transparency, and offsets for clarity.
3.Interpret Visuals:
- Candlesticks: Analyze HTF candles to gauge trend direction and momentum across timeframes.
- FVGs: Look for unmitigated FVGs (colored boxes) as potential support/resistance zones or trade setups.
- Key Levels: Use Highs, Lows, Midpoints, and Quarter Points to identify breakout or reversal areas.
4. Market Structure Table: Check trend bias and premium/discount status to align trades with market conditions.
- DWM Lines: Monitor daily/weekly/monthly levels for institutional reference points.
- Countdown Timers: Time entries/exits based on upcoming candle formations.
5. Integrate with Strategy:
- Combine script insights with your trading plan (e.g., use FVGs for entries, key levels for stops/targets).
- Set alerts for high/low breaks or liquidity zone approaches to stay proactive.
- Export table data or screenshot visuals for documentation and analysis.
6. Optimize Performance:
Limit the number of candles, FVGs, and lines to match your device’s capabilities.
Regularly review settings to focus on the most relevant timeframes and features.
Why the Script is Original
The 10x HTF Candles Dynamic script stands out in the TradingView community due to its innovative design, comprehensive functionality, and trader-centric approach. Here’s what makes it unique:
1. Seamless Multi-Timeframe Integration:
- Unlike single-timeframe indicators, this script synthesizes data from up to 10 timeframes, offering a holistic view of market structure.
- Dynamic timeframe selection adapts to the chart’s timeframe, ensuring relevance across all trading styles.
2 . Advanced FVG and IFVG Detection:
- Provides granular control over FVG detection with three IFVG methods (wick, close, midpoint), a rarity in most scripts.
- Tracks mitigation status and highlights unmitigated FVGs, enabling traders to capitalize on high-probability setups.
- Visualizes FVGs with boxes, midpoint lines, and labels, enhancing clarity and usability.
3. Sophisticated Market Structure Analysis:
-The bias calculation, introduced in recent updates (2 days ago), uses a robust algorithm to assess trend direction based on range midpoints.
- The market structure table, with premium/discount zones (added 20 hours ago), offers a unique summary of market conditions, unmatched by standard indicators.
4. Comprehensive DWM and Session Support:
- Integrates daily, weekly, and monthly levels alongside session-based opening prices, catering to institutional and retail traders alike.
- Customizable alerts for high/low breaks add actionable functionality.
5. Visual Hierarchy and Clarity:
- Scales line widths and transparency by timeframe, prioritizing higher timeframes for strategic focus.
- Countdown timers provide real-time context, a feature rarely seen in multi-timeframe scripts.
6.Performance Optimization:
- Recent updates introduced loops and UDTs to reduce code redundancy and boost processing speed.
- Automated cleanup mechanisms prevent chart clutter, ensuring smooth operation even on low-resource devices.
7. High Customizability:
- Offers extensive settings for visuals, timeframes, FVGs, DWM lines, and alerts, accommodating diverse trading preferences.
- Balances complexity with accessibility, making it approachable for beginners and powerful for advanced users.
8.Continuous Evolution:
- Regular updates (e.g., bias filter table, premium/discount feature, code optimization) demonstrate ongoing commitment to improvement.
- Closed-source protection (noted 20 hours ago) ensures intellectual integrity while allowing free use, fostering trust in the TradingView community.
Conclusion
The 10x HTF Candles Dynamic Pine Script is a groundbreaking tool that redefines multi-timeframe analysis on TradingView. By combining candlestick visualization, FVG detection, market structure insights, DWM levels, and countdown timers, it provides traders with a comprehensive, real-time view of market dynamics. Its advanced optimization, customization options, and continuous updates make it a standout choice for traders seeking precision, clarity, and efficiency. Whether you’re scalping intraday moves or swing trading weekly trends, this script equips you with the tools to master the markets with confidence.
AZRO Systems XRP Top/Bottom Indicator — Invite-OnlyAZRO Systems – XRP Top/Bottom Indicator — Invite-Only
VERSION v1.0.4 — Early tops & bottoms flagged; label auto-flips to MAJOR at weekly close
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WHAT IT DOES
• EARLY TOP / EARLY BOTTOM prints intra-bar the moment any multi-factor recipe triggers.
• When the weekly bar closes, the label flips to MAJOR TOP / MAJOR BOTTOM and the confirmed alert fires.
• (If Soft-Confirm is ON, a TOP must first pull back ≈ 30 % of ATR-90 before confirmation.)
• Adds large green/red labels and a light bar-tint once major status is confirmed.
• Historical tests indicate materially lower drawdowns versus passive holding while still capturing each macro upswing.
HOW IT WORKS (concept level — exact thresholds are locked)
• Macro-Rotation Gauge – BTC dominance
Weekly BTC.D enters a historic extreme, then reverses for ≥ 2 weekly closes to flag potential rotation; never fires solo.
• Asset-Share Pivot – XRP market-cap share filters out false RSI spikes.
• Momentum-Stress Check – Weekly RSI + ATR pull-back captures exhaustion without waiting for close.
A label prints only when a recipe combining these lenses is met, greatly reducing false signals versus single-factor scripts.
HOW TO USE
Chart : XRP-USD · 1-WEEK (lower timeframes unsupported)
Watch : EARLY label → flips to MAJOR at weekly confirmation (bar tint appears)
Alerts : • EARLY Bottom / EARLY Top → ONCE PER BAR
• MAJOR Bottom / MAJOR Top → ONCE PER BAR CLOSE
USER-VISIBLE INPUTS
• Label distance (% ATR-90) – vertical offset for labels (Default 50)
• Light-mode palette – swap colors for bright themes (Default OFF)
• Soft-Confirm filter – ON waits for ≈ 30 % ATR pull-back on tops; OFF prints faster tops (Default ON)
• Warning checkbox – visual reminder only; no impact on signals (Default OFF)
ROADMAP
An intraday scalp mode for this XRP script is under development.
LIMITATIONS & DISCLAIMER
• Designed exclusively for the weekly timeframe; extreme market events can override any model—always manage risk.
• Educational tool — not financial advice. Past performance ≠ future returns.
Advanced Volume Profile Levels (Working)This indicator is a powerful tool for traders who use volume profile analysis to identify significant price levels. It automatically calculates and plots the three most critical levels derived from volume data—the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL)—for three different timeframes simultaneously: the previous week, the previous day, and the current, live session.
The primary focus of this indicator is unmatched readability. It features dynamic, floating labels that stay clear of price action, combined with a high-contrast design to ensure you can see these crucial levels at a glance without any visual clutter.
Key Features
Multi-Session Analysis: Gain a complete market perspective by viewing levels from different timeframes on a single chart.
Weekly Levels: Identify the long-term areas of value and control from the prior week's trading activity.
Daily Levels: Pinpoint the most significant levels from the previous day's Regular Trading Hours (9:30 AM - 4:00 PM ET).
Current Session Levels: Track the developing value area and POC in real-time with a dynamic profile that updates with every bar.
Advanced Visuals for Clarity:
Floating Labels: The labels for the weekly and daily levels intelligently "float" on the right side of your chart, moving with the price to ensure they are never obscured by candles.
High-Contrast Design: Labels are designed for maximum readability with solid, opaque backgrounds and an automatic text color (black or white) that provides the best contrast against your chosen level color.
Trailing Current Levels: The labels for the current session neatly trail the most recent price action, providing an intuitive view of intra-day developments.
Comprehensive Customization: Tailor the indicator's appearance to your exact preferences.
Toggle each profile (Weekly, Daily, Current) on or off.
Individually set the color, line style (solid, dashed, dotted), and line width for each set of levels.
Adjust the text size, background transparency, and horizontal offset for all on-chart labels.
Information Hub:
On-Chart Price Labels: Each label clearly displays both the level name and its precise price (e.g., "D-POC: 22068.50").
Corner Table: An optional, clean table in the top-right corner provides a quick summary of all active weekly and daily level values.
Built-in Alerts:
Create alerts directly from the script to be notified whenever the price crosses above or below the weekly or daily Point of Control, helping you stay on top of key market movements.
How to Use
The levels provided by this indicator serve as powerful reference points for market activity:
Point of Control (POC): The price level with the highest traded volume. It acts as a magnet for price and represents the area of "fair value" for that session. Markets often test or revert to the POC.
Value Area High (VAH) & Value Area Low (VAL): These levels define the range where approximately 70% of the session's volume occurred. They are critical support and resistance zones.
Price acceptance above the VAH may signal a bullish breakout.
Price acceptance below the VAL may signal a bearish breakdown.
Rejection at the VAH or VAL often leads to price moving back across the value area towards the POC.
SEJKING - TimingSEJKING - Timing Indicator: Professional Session-Based Trading Tool
The SEJKING - Timing indicator is a sophisticated trading tool designed for intraday traders who focus on key market sessions. It provides visual cues for Asian, London, and New York trading sessions, highlights important price levels, and delivers volatility metrics - all in one comprehensive package.
Key Features:
Session Visualization:
Color-coded boxes for Asian (purple), London (gray), and New York (gray) sessions
Automatic Daylight Saving Time adjustments (2022-2025)
Customizable colors and visibility for each session
Volatility Measurement:
Real-time pip count calculations for each session
Visual labels showing range volatility (A=Asian, L=London, N=New York)
Critical Price Levels:
Daily Levels:
Previous day's high/low as black dashed lines (HOPD/LOPD)
Lines extend until 5 AM EST the following day
"HOPD" (High of Previous Day) and "LOPD" (Low of Previous Day) labels
Weekly Levels:
Previous week's high/low as orange dashed lines
Lines extend until following Wednesday at 5 AM EST
"WH" (Weekly High) and "WL" (Weekly Low) labels at line ends
Smart Timeframe Handling:
Auto-hides elements on higher timeframes (15-30 minute setting)
Special handling for Asian session on higher timeframes
Key Reference Lines:
Yesterday's high, low, and close
Weekly high and low levels
Option to display only on most recent bar
Benefits for Traders:
Session Awareness: Visually track active market sessions to align with peak volatility periods
Key Level Identification: Quickly spot crucial support/resistance from daily and weekly levels
Volatility Gauge: Measure session range strength through pip counts
Time-Based Analysis: Extended lines help identify which levels remain relevant throughout the trading day
DST-Proof: Automatically adjusts for global daylight saving time changes
Ideal For:
Forex traders focusing on London/NY sessions
Asian session specialists
Price action traders using previous day/week levels
Volatility-based strategies
Intraday traders needing session awareness
Input Options:
Toggle visibility for each trading session
Customize Asian session colors
Set maximum timeframe for box visibility (15-30 mins)
Choose to display key levels only on recent bars
How It Works:
The indicator automatically calculates session timings based on UTC-7 (US Mountain Time), with intelligent DST adjustments. At the start of each Asian session, it plots new daily and weekly levels, extending them to their respective expiration times (5 AM EST next day for daily, next Wednesday for weekly). Session boxes show the price range during each market open, with pip counts displayed at session close.
Trading Applications:
Use HOPD/LOPD as breakout or reversal levels
Trade bounces off weekly levels (WH/WL)
Identify low-volatility sessions for range trading
Spot high-volatility sessions for breakout strategies
Combine session boxes with key levels for confluence
Note: Optimized for Forex but works on all instruments. Asian session hours automatically adjust for non-Forex assets.
FIB W-VWAP [A0A_Indicator]FIB W-VWAP is an advanced weekly anchored VWAP indicator that leverages Fibonacci-based deviation bands and a custom price source for improved market relevance.
Key Features:
Weekly Anchored VWAP: Resets automatically at the Friday NYSE close, providing a rolling weekly anchor that aligns with professional trading practice.
Fibonacci Deviation Levels: Plots multiple deviation bands around the VWAP, calculated using fixed Fibonacci-inspired multipliers for both positive and negative directions. These serve as key support and resistance zones for mean reversion or trend continuation strategies.
Dynamic Standard Deviation: Each band is based on the live, rolling standard deviation of price within the current weekly session, adapting in real time to changing volatility.
Unique Hybrid Price Source:
VWAP and deviation bands are calculated using a custom price formula:
hidden
This approach gives extra weight to the closing price while still considering intrabar extremes, resulting in a smoother and more robust anchor compared to classic VWAP formulas (such as typical price or close-only).
Visual Enhancements:
Distinct color fills and lines for each band
Configurable transparency and labels
Clearly marked VWAP and all deviation levels, labeled with their corresponding Fibonacci levels
Adaptable for Discretionary and Systematic Trading:
Useful for identifying mean reversion trades, breakouts, and overextended moves during the trading week.
How it works:
At each new weekly session (NY close on Friday), the VWAP and its standard deviation reset.
The script continuously updates cumulative price × volume, cumulative volume, and cumulative price² × volume to maintain accurate VWAP and standard deviation calculations.
Each deviation band is plotted as a multiple of the weekly standard deviation above and below the VWAP, using fixed Fibonacci coefficients.
Labels and horizontal lines extend into the future for clear, actionable visual reference.
Why use this version?
This indicator offers greater precision in turbulent markets, robust support/resistance mapping, and is especially effective for traders seeking a more nuanced, statistically informed view of weekly price structure. The hybrid source makes it more reliable during volatility spikes than classic VWAP methods.
Ready for all timeframes and asset classes—especially powerful for intraday and swing traders working with weekly cycles.
Black Box Trading Measuring Tool (BlackBox - BBT)Overview
The Black Box Trading Indicator is a comprehensive technical analysis tool that combines multiple trading concepts into a single, powerful indicator. It displays custom session ranges, Average Daily Range (ADR) projections, support/resistance levels, and order blocks to help traders identify key market levels and potential trading opportunities.
Key Features
1. Custom Session Ranges
Define and visualize any trading session with customizable start and end times
Automatically calculates session high, low, and midpoint
Displays quarter levels (25% and 75% of range)
Shows range projections at 100%, 150%, 200%, and 250% extensions
2. Average Daily Range (ADR) Analysis
Calculates and displays ADR for daily, weekly, monthly, and custom timeframes
Shows projected high and low targets based on ADR
Includes "hash" levels at 50% ADR from session midpoint
Visual range boxes highlight potential support/resistance zones
3. Market Structure Levels
Daily and weekly opening prices with dynamic coloring
Previous daily and weekly center mass (50% of previous period's range)
Real-time range statistics displayed in an information table
4. Order Block Detection
Automatically identifies bullish and bearish order blocks
Visual representation with customizable colors and transparency
Mitigation tracking to remove invalidated blocks
Alert system for price interaction with order blocks
Parameter Guide
Display Settings
Show Blocks
Enables/disables order block visualization
Useful for cleaner charts when focusing on other elements
Show Previous Daily/Weekly Center Mass
Displays the midpoint of the previous period's range
Helps identify potential support/resistance from prior price acceptance areas
Show Daily/Weekly Open
Shows opening prices with color coding (blue for bullish, orange for bearish)
Important reference points for intraday trading
Show ADR Targets
Displays projected highs and lows based on Average Daily Range
Essential for setting realistic profit targets and stop losses
Show Range Projection
Extends the session range by multiples (1x, 1.5x, 2x, 2.5x)
Helps identify potential price targets during trending moves
Show Average Daily Range
Displays the ADR statistics table
Shows current range metrics for multiple timeframes
Display range in pips
Converts range values to pips for forex traders
Provides standardized measurement across different instruments
ADR Configuration
ADR Days
Number of days to include in current ADR calculation
Default: 1 (shows today's developing range)
ADR Period
Lookback period for calculating average range
Default: 14 days (standard period for volatility measurement)
Custom Range
Select between 60-minute or 240-minute timeframes
Allows analysis of intermediate timeframes
Session Time Settings (EST)
Start Hour/Minute
Define when your custom session begins
Default: 19:00 EST (Asian session open)
End Hour/Minute
Define when your custom session ends
Default: 02:45 EST (London session approach)
Extend To Hour/Minute
How far to extend the horizontal lines
Default: 19:00 EST (full 24-hour extension)
Visual Customization
Color Settings
Top Color: Used for upper levels and bullish projections
Bottom Color: Used for lower levels and bearish projections
Range Outline Color: Main session range boundaries
Center Range Line Color: Session midpoint visualization
Line Settings
Range Outline Width: Thickness of range box borders
Session Line Width: Thickness of horizontal level lines
Line Styles: Choose between solid, dashed, or dotted
Text Settings
Text Color: Color for all labels
Text Size: AUTO, tiny, small, normal, or large
Order Block Settings
Sensitivity
Percentage threshold for order block detection (1-100)
Higher values = fewer but stronger blocks
Default: 25 (detects 25% price movements)
OB Mitigation Type
Close: Block is mitigated when price closes beyond it
Wick: Block is mitigated when price wicks beyond it
Color Configuration
Separate colors for bullish and bearish blocks
Border and background colors can be customized independently
Trading Applications
1. Session-Based Trading
Identify the initial balance (first hour of trading)
Trade breakouts from defined session ranges
Use range projections for profit targets
Monitor for range-bound vs trending conditions
2. ADR-Based Strategies
Set daily profit targets based on ADR projections
Identify overextended moves when price exceeds ADR
Use ADR levels for position sizing and risk management
Compare current range to average for volatility assessment
3. Support/Resistance Trading
Use previous period center mass as dynamic S/R
Trade bounces from daily/weekly opens
Combine multiple timeframe levels for confluence
Monitor order blocks for potential reversal zones
4. Order Block Trading
Enter trades when price returns to unmitigated blocks
Use blocks as stop loss placement guides
Look for confluence with other indicator levels
Monitor block mitigation for trend confirmation
Best Practices
1. Multi-Timeframe Analysis
Use higher timeframe blocks for major levels
Combine with lower timeframe entries
Monitor weekly levels on daily charts
2. Confluence Trading
Look for areas where multiple levels align
Combine order blocks with ADR targets
Use session ranges with center mass levels
3. Risk Management
Use ADR for realistic daily profit targets
Place stops beyond order blocks or range extremes
Size positions based on distance to key levels
4. Alert Usage
Set alerts for ADR target hits
Monitor order block interactions
Track range breakouts and hash level tests
Tips for Effective Use
Start Simple: Begin with basic session ranges and ADR before adding all features
Color Coding: Use consistent colors across your trading setup
Time Zones: Ensure session times match your trading schedule
Clean Charts: Toggle off unused features for clarity
Backtesting: Study how price respects these levels historically
Journaling: Document which levels work best for your traded instruments
Common Trading Scenarios
Range Trading
Enter longs at session low or lower projections
Enter shorts at session high or upper projections
Target the session midpoint or opposite extreme
Breakout Trading
Wait for clear breaks of session range
Use range width for measuring targets
Monitor ADR to gauge breakout potential
Trend Following
Use order blocks as pullback entries
Trail stops using range projections
Scale out at ADR targets
Reversal Trading
Look for price rejection at ADR extremes
Monitor order block mitigation failures
Use center mass as reversal confirmation
8EMA/VWAP14 Oscillator w/ Trend Exhaustion Bands8EMA/VWAP14 Oscillator w/ Trend Exhaustion Bands + Performance Screener
Introducing the 8EMA/VWAP14 Oscillator with Trend Exhaustion Bands + Screener Suite - a comprehensive trading system that combines trend identification, momentum analysis, and real-time performance tracking all in one indicator. This system features a four-tier signal approach: early momentum warning dots before anything happens, confirmed entry/exit triangles when it's time to act, a dynamic trend ribbon on your price chart, and adaptive exhaustion bands that adjust to each asset's unique characteristics. The built-in performance tracker shows exactly how well your signals are working - success rates, average time to hit targets, and more - providing clear insight for confident trading decisions. Optimized for daily and weekly timeframes, this suite is suitable for both manual traders and automated strategies.
Aim of the Indicator
The 8EMA/VWAP14 Oscillator with Trend Exhaustion Bands is an advanced momentum oscillator system that combines trend identification, momentum analysis, and forward-looking performance validation. This comprehensive tool measures the percentage difference between an 8-period Exponential Moving Average and a 14-period Volume Weighted Average Price while providing multiple layers of signal confirmation through visual trend ribbons, momentum shift alerts, and adaptive exhaustion detection.
How to Interpret the Indicator
Visual Trend System: The indicator displays a dynamic ribbon between the 8EMA and 14VWAP lines on the price chart, automatically colored green when EMA8 is above VWAP14 (bullish trend) and red when below (bearish trend), providing instant trend context.
Four-Tier Signal System:
Tiny Green Dots (Below Bars): Early bullish momentum shifts when the oscillator crosses above its adaptive baseline
Green Triangles (Below Bars): Confirmed buy signals when EMA8 crosses above VWAP14
Tiny Red Dots (Above Bars): Early bearish momentum shifts when the oscillator crosses below its adaptive baseline
Red Triangles (Above Bars): Confirmed sell signals when EMA8 crosses below VWAP14
Oscillator Analysis: The separate pane displays the momentum oscillator with a dynamic zero line (thin blue) representing the recent average EMA8/VWAP14 relationship. Trend exhaustion is detected through adaptive bands - orange for potential upside exhaustion and purple for potential downside exhaustion, calculated dynamically based on the oscillator's historical range relative to its adaptive baseline.
Key Settings and Flexibility
Signal Source Customization: Choose from Open, High, Low, Close, OHLC Average, or HL Average to optimize signal sensitivity for different market conditions and trading styles.
Multi-Timeframe Capability: Enable higher timeframe analysis to use signals from longer periods while trading on shorter timeframes, significantly reducing noise and improving signal quality for more reliable entries.
Dynamic Baseline Controls: Adjust the adaptive zero line calculation period (5-100 bars) - shorter periods provide more responsive momentum detection, while longer periods offer smoother trend context and reduced false signals.
Entry Timing Options: "Bar Opening Only" mode ensures signals trigger only at confirmed bar close using realistic entry prices, eliminating mid-bar noise and providing accurate backtesting results for automated trading systems.
Adaptive Exhaustion Detection: Customize lookback periods and threshold multipliers to fine-tune exhaustion sensitivity for different volatility environments and asset classes.
Comprehensive Performance Tracking: Set custom profit targets (1-50%) and maximum holding periods to analyze forward-looking signal effectiveness with real-time success rate monitoring.
Advanced Features and Benefits
Forward-Looking Performance Analytics: Unlike traditional backtesting, this system tracks how often buy signals reach specified profit targets and measures average time to target, providing immediate validation of signal quality across different assets and timeframes.
Adaptive Baseline Technology: The dynamic zero line automatically adjusts to each asset's unique EMA8/VWAP14 relationship patterns, making momentum signals contextually relevant rather than using static thresholds that may not suit all market conditions.
Professional Entry/Exit Tracking: When "Bar Opening Only" is enabled, all performance calculations use actual tradeable prices (next bar's open) rather than theoretical mid-bar prices, ensuring realistic performance expectations.
Visual Performance Dashboard: Real-time table displaying success rate, average bars to target, fastest/slowest target achievement, and active position tracking with complete transparency about timeframe, signal source, and methodology being used.
Integrated Alert System: Comprehensive alerts for both early momentum shifts and confirmed crossover signals, enabling automated trading integration and timely manual intervention.
Best Practices for Timing Entries and Exits
Entry Timing Strategy:
Watch for Early Warning: Monitor tiny green dots as momentum builds - this is your preparation phase
Confirm with Ribbon: Ensure the ribbon color aligns with your intended direction (green for long positions)
Enter on Triangle Signal: Execute entries when confirmed buy triangles appear, using realistic bar opening prices
Avoid Exhaustion Zones: Be cautious entering when the oscillator is near orange (upper) exhaustion bands
Exit Timing Strategy:
Monitor Momentum Shifts: Red dots above bars provide early warning of potential reversals before actual sell signals
Use Exhaustion Bands: Consider partial profit-taking when oscillator reaches exhaustion zones (orange/purple bands)
Confirm with Sell Signals: Exit positions when red triangles appear, especially if preceded by bearish momentum dots
Time-Based Exits: Utilize the "Max Bars to Target" setting to avoid holding losing positions indefinitely
Risk Management Integration:
Position Sizing: Use success rate metrics to adjust position sizes - higher success rates may warrant larger positions
Multi-Timeframe Confluence: Combine daily signals with weekly context for highest probability setups
Avoid False Signals: Wait for momentum dots before triangles for stronger signal confirmation, reducing whipsaw trades
Optimal Market Conditions:
Trending Markets: Ribbon provides clear directional bias - trade in direction of ribbon color
Range-Bound Markets: Focus on exhaustion bands for reversal opportunities near dynamic support/resistance levels
Volatile Conditions: Use higher timeframe settings to filter noise and focus on more significant moves
Optimal Timeframe Usage
This indicator achieves exceptional performance on Daily timeframes and delivers superior results on Weekly timeframes. Weekly analysis is particularly powerful for position trading and swing strategies, as the adaptive exhaustion bands and momentum shifts have greater statistical significance over extended periods. The ribbon visualization becomes especially valuable on longer timeframes, clearly delineating major trend phases while filtering out intraday noise that can plague shorter-term analysis.
Alternative Applications
Multi-Timeframe Confluence System: Use weekly signals for trend direction while executing entries on daily timeframes, combining the indicator's momentum dots and triangles across different time horizons for high-probability setups.
Automated Trading Integration: The indicator's comprehensive alert system and realistic entry tracking make it ideal for automated trading platforms, with clear signal hierarchy and performance validation built into the system.
Risk-Adjusted Position Sizing: Utilize real-time success rate data and average holding period metrics to dynamically adjust position sizes based on current market effectiveness of the strategy.
Market Regime Detection: The ribbon color changes and exhaustion band interactions help identify when markets transition between trending and ranging conditions, allowing strategy adaptation accordingly.
Performance Validation Tool: Test signal effectiveness across different assets, timeframes, and market conditions before committing capital, using the forward-looking analytics to validate strategy assumptions.
Conclusion
The 8EMA/VWAP14 Oscillator with Trend Exhaustion Bands represents a comprehensive trading system that bridges the gap between manual analysis and automated execution. Its multi-layered approach provides both leading momentum indicators and lagging confirmation signals, while the adaptive baseline technology ensures relevance across different market conditions and asset classes. The integration of visual trend ribbons, performance analytics, and flexible timing controls makes it suitable for both discretionary traders seeking enhanced market insight and systematic traders requiring robust signal validation for automated strategies.
