Historical IQBy:MasterTonyTA
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**Historical IQ— Track % Bull/Bear to gauge Historical Context of moves**
This indicator measures the historical reliability of key percentage levels derived from pivot highs and pivot lows. Rather than simply drawing support and resistance zones, it scores each level based on what price actually did when it arrived there — giving you a data-driven read on whether a level is worth trading or fading. CUSTOM PICK A % MOVE TO SEE HOW PRICE AS REACTED AT THAT %
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**HOW IT'S CALCULATED**
The indicator operates in one of two modes — Bear or Bull — never both at once, keeping the chart clean and the analysis focused.
**Bear Mode (Pivot High → -N%)**
Every confirmed pivot high is identified using a configurable left/right bar lookback. From that pivot, a horizontal band is drawn at your chosen percentage below it — for example, -10% — with an adjustable tolerance creating a band rather than a single line. Once price enters a new pivot's range the previous band is closed off and locked for historical scoring.
On the final bar, every historical band is scanned bar by bar across its entire time window. Each band falls into one of three outcomes: price reached the band and closed above it (held as support — painted gold), price reached the band and closed below it (broke through — painted red), or price never reached the band at all (untouched — painted red but excluded from scoring).
**Bull Mode (Pivot Low → +N%)**
The same logic runs in reverse. Every confirmed pivot low generates a band at your chosen percentage above it. The three outcomes become: price reached the band and stalled without closing above it (resistance held — gold), price reached the band and closed above it (broke through — painted green), or price never reached the band (untouched — excluded from scoring).
**The Scoring**
Only bands that price actually tested are included in the stats. Untouched bands are deliberately excluded because a level that was never reached tells you nothing about whether it would have held. The gold hit rate is therefore a pure measure — out of every time price came to this level, how often did it respect it?
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**HOW TO READ THE TABLE**
The stats table sits top-right and updates on every bar. It shows:
**🟡 Gold (held/stalled)** — the number of historical bands where price tested the level and respected it. In Bear mode this means closed above; in Bull mode this means stalled without closing above.
**🔴 Broke through / 🟢 Broke through** — the number of times price tested the level and pushed straight through. These are the failures.
**Times tested** — gold plus broke. This is the denominator for all calculations. Untouched bands are not included here.
**○ Not yet reached** — shown for context only. These bands exist on the chart but have no vote in the ratio since price never arrived.
**🎯 Gold hit rate** — the headline number. This is gold divided by times tested, expressed as a percentage. A reading above 60% lights up gold. Below 60% it turns red. This is the number to watch.
**Gold : Broke ratio** — the same relationship expressed as a simplified ratio. A 3:1 ratio means for every three times the level held, it broke once.
**Reading** — a plain-language verdict based on the gold hit rate:
- 70% and above → Strong support / Strong resistance
- 50–69% → Moderate support / Moderate resistance
- 30–49% → Weak support / Weak resistance
- Below 30% → Unreliable
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**HOW TO USE IT** FIND HISTORICAL % AND WHAT HAPPENED TO SEE THE IMPLICATIONS OF MOVES
**Dialing in your target** — start by choosing a percentage that is meaningful for the asset you are trading. Volatile assets like crypto may show more meaningful clusters around larger moves such as 15–20%. Blue chip equities or indices often show cleaner structure at 8–12%. The goal is to find the percentage where the gold hit rate is consistently above 60% across history — that tells you the market has a genuine memory of that level.
**Using the tolerance** — the band width setting controls how precise price needs to be to count as a test. A tighter tolerance like 0.2% gives you a sharper level but fewer touches. A wider tolerance like 1% captures more wicks and approaches but may dilute the quality signal. Start tight and widen only if you are seeing very few tests.
**Bear mode use case** — after a significant high has formed and the market is declining, the gold bands ahead of price show levels where the market has historically found buyers at this same percentage distance from a prior peak. A high gold hit rate at your chosen decline level is a data-backed reason to watch for a bounce or entry there rather than guessing.
**Bull mode use case** — after a significant low has formed and the market is rallying, the gold bands show levels where price has historically stalled at this percentage distance from a prior trough. A high gold hit rate is a reason to consider taking profits, tightening stops, or watching for reversal signals as price approaches.
**Pivot sensitivity** — the left and right bar inputs control how significant a pivot needs to be to qualify. Higher values require a more dominant high or low with more bars confirming on either side, producing fewer but more meaningful pivots. Lower values produce more pivots and more bands but may include minor swings that add noise.
**The live label** — the percentage shown at the current bar tells you exactly where price sits relative to the most recent pivot. When price enters a band the label turns gold as a real-time visual alert that price is at a historically significant level right now.
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Modern Economic Eras DashboardOverview
This script provides a historical macroeconomic visualization of U.S. markets, highlighting long-term structural "eras" such as the Bretton Woods period, the inflationary 1970s, and the post-2020 "Age of Disorder." It overlays key economic indicators sourced from FRED (Federal Reserve Economic Data) and displays notable market crashes, all in a clean and rescaled format for easy comparison.
Data Sources & Indicators
All data is loaded monthly from official FRED series and rescaled to improve readability:
🔵 Real GDP (FRED:GDP): Total output of the U.S. economy.
🔴 Inflation Index (FRED:CPIAUCSL): Consumer price index as a proxy for inflation.
⚪ Debt to GDP (FRED:GFDGDPA188S): Federal debt as % of GDP.
🟣 Labor Force Participation (FRED:CIVPART): % of population in the labor force.
🟠 Oil Prices (FRED:DCOILWTICO): Monthly WTI crude oil prices.
🟡 10Y Real Yield (FRED:DFII10): Inflation-adjusted yield on 10-year Treasuries.
🔵 Symbol Price: Optionally overlays the charted asset’s price, rescaled.
Historical Crashes
The dashboard highlights 10 major U.S. market crashes, including 1929, 2000, and 2008, with labeled time spans for quick context.
Era Classification
Six macroeconomic eras based on Deutsche Bank’s Long-Term Asset Return Study (2020) are shaded with background color. Each era reflects dominant economic regimes—globalization, wars, monetary systems, inflationary cycles, and current geopolitical disorder.
Best Use Cases
✅ Long-term macro investors studying structural market behavior
✅ Educators and analysts explaining economic transitions
✅ Portfolio managers aligning strategy with macroeconomic phases
✅ Traders using history for cycle timing and risk assessment
Technical Notes
Designed for monthly timeframe, though it works on weekly.
Uses close price and standard request.security calls for consistency.
Max labels/lines configured for broader history (from 1860s to present).
All plotted series are rescaled manually for better visibility.
Originality
This indicator is original and not derived from built-in or boilerplate code. It combines multiple economic dimensions and market history into one interactive chart, helping users frame today's markets in a broader structural context. Indicator
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Volume StatsDescription:
Volume Stats displays volume data and statistics for every day of the year, and is designed to work on "1D" timeframe. The data is displayed in a table with columns being months of the year, and rows being days of each month. By default, latest data is displayed, but you have an option to switch to data of the previous year as well.
The statistics displayed for each day is:
- volume
- % of total yearly volume
- % of total monthly volume
The statistics displayed for each column (month) is:
- monthly volume
- % of total yearly volume
- sentiment (was there more bullish or bearish volume?)
- min volume (on which day of the month was the min volume)
- max volume (on which day of the month was the max volume)
The cells change their colors depending on whether the volume is bullish or bearish, and what % of total volume the current cell has (either yearly or monthly). The header cells also change their color (based either on sentiment or what % of yearly volume the current month has).
This is the first (and free) version of the indicator, and I'm planning to create a "PRO" version of this indicator in future.
Parameters:
- Timezone
- Cell data -> which data to display in the cells (no data, volume or percentage)
- Highlight min and max volume -> if checked, cells with min and max volume (either monthly or yearly) will be highlighted with a dot or letter (depending on the "Cell data" input)
- Cell stats mode -> which data to use for color and % calculation (All data = yearly, Column = monthly)
- Display data from previous year -> if checked, the data from previous year will be used
- Header color is calculated from -> either sentiment or % of the yearly volume
- Reverse theme -> the table colors are automatically changed based on the "Dark mode" of Tradingview, this checkbox reverses the logic (so that darker colors will be used when "Dark mode" is off, and lighter colors when it's on)
- Hide logo -> hides the cat logo (PLEASE DO NOT HIDE THE CAT)
Conclusion:
Let me know what you think of the indicator. As I said, I'm planning to make a PRO version with more features, for which I already have some ideas, but if you have any suggestions, please let me know. Indicator
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SadLittleThings Price Compare With Offset MTF by RRBSadLittleThings Price Compare With Offset MTF by RagingRocketBull 2018
Version 1.0
This indicator lets you compare multiple assets across different timeframes, supports offsets and alpha multipliers.
Standard PulseWire Compare doesn't have Offset/Timeframe/Multiplier options, hence this indicator.
Features:
- compare current asset's price with 2 custom ext OHLC sources
- plot sources as lines/bars/candles
- use offset:
- for lines - both positive/negative offsets, unlimited
- for bars/candles - only positive offsets <= 5000
- specify timeframe for each source
- uses timeframe textbox instead of input resolution dropdown to allow for 240 120 and other custom TFs
- support for timeframes in H: H, 2H, 4H etc
- show/hide sources
- colorize sources
- convert source price to 1000s, mlns, or blns using alpha multiplier
- total bars counter
Notes on using offsets:
- Max offset is defined by study max_bars_back which is limited to 5000 for free accounts. This variable specifies the number of history bars an indicator can access.
- if you see the 'internal server study error' => one of the indexes of ohlc series is out of bounds (i.e. close ) => decrease the offset <= 5000 or switch to line type
- you will be limited only by the total number of bars in history (n) +/- 1 full screen of empty bars
- you can't scroll past the beginning of history - 1 empty screen and past the end of history + 1 empty screen to be able to still see the line with applied offset
- before applying a large offset, scroll back long enough to make sure you have enough history loaded
- if you have a long history the indicator will get slower, its UI less responsive. Reloading the page may fix that.
- you will not see source's history past the beginning of the current asset - open the chart with the longest history first (i.e. BLX, not COINBASE)
- Make sure that the Left Price Scale shows up with Auto Fit Data enabled. You can reattach the indicator to a different scale in Style.
- you may not be able to plot intraday TFs < current TF, because free accounts are limited to TFs >= D1 (i.e. D, 2D, 3D, W), but you can still plot, say, H4+ on a lower TF H1 chart
1. uses plot*, security, change
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