Multi-Mode Seasonality Map [BackQuant]Multi-Mode Seasonality Map
A fast, visual way to expose repeatable calendar patterns in returns, volatility, volume, and range across multiple granularities (Day of Week, Day of Month, Hour of Day, Week of Month). Built for idea generation, regime context, and execution timing.
What is “seasonality” in markets?
Seasonality refers to statistically repeatable patterns tied to the calendar or clock, rather than to price levels. Examples include specific weekdays tending to be stronger, certain hours showing higher realized volatility, or month-end flow boosting volumes. This tool measures those effects directly on your charted symbol.
Why seasonality matters
It’s orthogonal alpha: timing edges independent of price structure that can complement trend, mean reversion, or flow-based setups.
It frames expectations: when a session typically runs hot or cold, you size and pace risk accordingly.
It improves execution: entering during historically favorable windows, avoiding historically noisy windows.
It clarifies context: separating normal “calendar noise” from true anomaly helps avoid overreacting to routine moves.
How traders use seasonality in practice
Timing entries/exits : If Tuesday morning is historically weak for this asset, a mean-reversion buyer may wait for that drift to complete before entering.
Sizing & stops : If 13:00–15:00 shows elevated volatility, widen stops or reduce size to maintain constant risk.
Session playbooks : Build repeatable routines around the hours/days that consistently drive PnL.
Portfolio rotation : Compare seasonal edges across assets to schedule focus and deploy attention where the calendar favors you.
Why Day-of-Week (DOW) can be especially helpful
Flows cluster by weekday (ETF creations/redemptions, options hedging cadence, futures roll patterns, macro data releases), so DOW often encodes a stable micro-structure signal.
Desk behavior and liquidity provision differ by weekday, impacting realized range and slippage.
DOW is simple to operationalize: easy rules like “fade Monday afternoon chop” or “press Thursday trend extension” can be tested and enforced.
What this indicator does
Multi-mode heatmaps : Switch between Day of Week, Day of Month, Hour of Day, Week of Month .
Metric selection : Analyze Returns , Volatility ((high-low)/open), Volume (vs 20-bar average), or Range (vs 20-bar average).
Confidence intervals : Per cell, compute mean, standard deviation, and a z-based CI at your chosen confidence level.
Sample guards : Enforce a minimum sample size so thin data doesn’t mislead.
Readable map : Color palettes, value labels, sample size, and an optional legend for fast interpretation.
Scoreboard : Optional table highlights best/worst DOW and today’s seasonality with CI and a simple “edge” tag.
How it’s calculated (under the hood)
Per bar, compute the chosen metric (return, vol, volume %, or range %) over your lookback window.
Bucket that metric into the active calendar bin (e.g., Tuesday, the 15th, 10:00 hour, or Week-2 of month).
For each bin, accumulate sum , sum of squares , and count , then at render compute mean , std dev , and confidence interval .
Color scale normalizes to the observed min/max of eligible bins (those meeting the minimum sample size).
How to read the heatmap
Color : Greener/warmer typically implies higher mean value for the chosen metric; cooler implies lower.
Value label : The center number is the bin’s mean (e.g., average % return for Tuesdays).
Confidence bracket : Optional “ ” shows the CI for the mean, helping you gauge stability.
n = sample size : More samples = more reliability. Treat small-n bins with skepticism.
Suggested workflows
Pick the lens : Start with Analysis Type = Returns , Heatmap View = Day of Week , lookback ≈ 252 trading days . Note the best/worst weekdays and their CI width.
Sanity-check volatility : Switch to Volatility to see which bins carry the most realized range. Use that to plan stop width and trade pacing.
Check liquidity proxy : Flip to Volume , identify thin vs thick windows. Execute risk in thicker windows to reduce slippage.
Drill to intraday : Use Hour of Day to reveal opening bursts, lunchtime lulls, and closing ramps. Combine with your main strategy to schedule entries.
Calendar nuance : Inspect Week of Month and Day of Month for end-of-month, options-cycle, or data-release effects.
Codify rules : Translate stable edges into rules like “no fresh risk during bottom-quartile hours” or “scale entries during top-quartile hours.”
Parameter guidance
Analysis Period (Days) : 252 for a one-year view. Shorten (100–150) to emphasize the current regime; lengthen (500+) for long-memory effects.
Heatmap View : Start with DOW for robustness, then refine with Hour-of-Day for your execution window.
Confidence Level : 95% is standard; use 90% if you want wider coverage with fewer false “insufficient data” bins.
Min Sample Size : 10–20 helps filter noise. For Hour-of-Day on higher timeframes, consider lowering if your dataset is small.
Color Scheme : Choose a palette with good mid-tone contrast (e.g., Red-Green or Viridis) for quick thresholding.
Interpreting common patterns
Return-positive but low-vol bins : Favorable drift windows for passive adds or tight-stop trend continuation.
Return-flat but high-vol bins : Opportunity for mean reversion or breakout scalping, but manage risk accordingly.
High-volume bins : Better expected execution quality; schedule size here if slippage matters.
Wide CI : Edge is unstable or sample is thin; treat as exploratory until more data accumulates.
Best practices
Revalidate after regime shifts (new macro cycle, liquidity regime change, major exchange microstructure updates).
Use multiple lenses: DOW to find the day, then Hour-of-Day to refine the entry window.
Combine with your core setup signals; treat seasonality as a filter or weight, not a standalone trigger.
Test across assets/timeframes—edges are instrument-specific and may not transfer 1:1.
Limitations & notes
History-dependent: short histories or sparse intraday data reduce reliability.
Not causal: a hot Tuesday doesn’t guarantee future Tuesday strength; treat as probabilistic bias.
Aggregation bias: changing session hours or symbol migrations can distort older samples.
CI is z-approximate: good for fast triage, not a substitute for full hypothesis testing.
Quick setup
Use Returns + Day of Week + 252d to get a clean yearly map of weekday edge.
Flip to Hour of Day on intraday charts to schedule precise entries/exits.
Keep Show Values and Confidence Intervals on while you calibrate; hide later for a clean visual.
The Multi-Mode Seasonality Map helps you convert the calendar from an afterthought into a quantitative edge, surfacing when an asset tends to move, expand, or stay quiet—so you can plan, size, and execute with intent.
Daysofweek
MW:TA Days of the WeekENG: Vertical separators to easily detect days of the week and see which past liquidity was taken down. Screenshot example contains days of the week indicator and manually drawn lines of grabbed liquidity. Useful for trades based on liquidity grab and reaction.
Tested on Forex, Crypto, Indexes, Stocks, Commodities markets.
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РУС: Вертикальные разделители для визуального определения дней недели и просмотра снятой ликвидности на графике. На скриншоте отмечен индикатор разделительных периодов (дней) и вручную нарисованные линии, которые отмечают снятую ликвидность и реакцию цены на снятие. Полезно для тех трейдеров, которые торгуют по реакции на снятую ликвидность.
Протестировано на рынках Форекс, Крипто, ИНдексов, Акций и Сырья.
Diddly - Charts (Asian, London & New York Session + Weekdays)Overview:
Diddly Charts is for providing intraday context to where we are in the market. It does this through a series of ranges displayed throughout the day, typically broken down into the Asian, London, and New York sessions.
This indicator also highlights key market structures like monthly, weekly, and previous day's highs and lows. Lines are provided for weekday and weekend separators, with the days of the week at the bottom of the chart, making it extremely useful for traders when identifying weekly cycles.
Usage:
All aspects of this indicator are changeable within the settings, allowing you to utilise the elements that are most important to your trading strategy.
The default layout is extremely useful for currency pairs, where traders use the London and New York boxes as windows of when to engage with the market. The times of these trading sessions can be changed to suit the trading periods that you want to trade.
Adhering to trading windows can help improve discipline to ensure that you are only taking entries within the time periods that match your trading strategy.
Some traders prefer a cleaner interface and don't want any indicator to detract from the price action they are reading, this can be achieved through changing the colour and their transparency in settings. In this example, you will see different labels used to annotate key structures, these can be changed to something that is relevant to your strategy in the settings.
It can also be used for trading Stocks where sessions are broken down into pre-market, market hours and post-market. This can be helpful to see those stocks that breakout of pre-market session highs and lows and also provide trading windows to keep traders out of trades that do not comply with their trading strategy.
Using higher time frames like a 4 hour chart or even the 1 hour chart, the intraday sessions are hidden away so traders can get a broader perspective without the clutter when zooming out. Although there are options to turn it on if you would prefer.
Here on a zoomed out 1 hour chart we have the option to only display the weekly line separator, which can help get an overview of weekly cycles.
Helpful Information
The main setting that you may want to change is at the top of the indicator settings, which is asking "what asset type" is the symbol being looked at. The indicator needs to know how to display the session range information. For example for currencies, the range size will be displayed in pips. For stocks or Futures it would display the financial amount. Beyond the visual display of information, this setting has no other impact on the indicator behaviour. The default setting is "Currencies".
We often get asked what the labels that appear on the chart mean. These can all be changed to your requirements, but by default what you will see when you apply the indicator to the chart is:
Under the Asian Range appears a couple of labels.
A = x : This is the range size of the session in pips for forex or amount for other assets, from the lowest to the highest price traded during that window.
ADR = y : This is the Average Daily Range over the last 21 days for this ticker
Under the London and New York session you will see a L = x or NY = y . This is the range size of each session in pips for forex or amount for other assets.
Structure Labels
YH = Yesterday's High
YL = Yesterday's Low
WH = Current Week's High
WL = Current Week's Low
MH = Current Month's High
ML = Current Month's Low
We greatly appreciate the support and feedback from the Trading View community, and we are dedicated to continuing to improve our indicators with your support.
We want to help you manage risk, and that's why we emphasise that trading is risky and any technology used to support our trading decisions is based on information from the past. We encourage traders to take responsibility for their trading businesses and always prioritise risk management.
Day of Week BackgroundPlaces the Day of the Week on the chart. Gotta have this for efficient back testing and using the MMM
RSI StochRSI Days of Week ALL IN ONEPlot flexibly three indicators in one window:
RSI
Stochastic RSI
Days of the week in the background
Besides the higher and lower extreme levels, I have also highlighted the middle range for RSI. I find it useful for corrections during a trend, where it usually tops or bottoms.
Enter settings, and you can manage in Inputs what to plot.
Moreover, save space with one indicator.
