Regime Dashboard (SPX / NDX / R2K / BTC / Miners / Custom) Regime Dashboard (SPX / NDX / BTC / Miners) is a market “risk regime” + breadth dashboard designed to help you avoid fighting the tape and improve timing for swings and longer holds.
This indicator does not forecast price. It measures participation / trend-health in a chosen universe and converts it into a simple RISK ON / RISK OFF regime using a smoothed breadth + hysteresis (two-threshold) engine to reduce chop.
What it measures (by mode)
1) SPX Breadth
Uses PulseWire breadth symbols for the S&P 500:
% Above 200D (long-term trend participation)
% Above 50D (short-term participation)
2) Nasdaq-100 Breadth
Same concept, but for the Nasdaq-100:
% Above 200D
% Above 50D
3) BTC Trend (proxy)
BTC doesn’t have “% of components above MA”, so the indicator uses a binary trend proxy:
BTC > 200D SMA → 100, else 0
BTC > 50D SMA → 100, else 0
Smoothing turns this into a “persistence” metric (how consistently BTC stays above its long MA).
4) Miner Basket Breadth
Builds a custom basket (e.g., MARA/RIOT/CLSK/WULF/HIVE/CIFR/IREN/BTDR/HUT) and computes:
b200: % of selected miners above their own 200D SMA
b50: % above their own 50D SMA
Because baskets are smaller and step-like, this mode typically needs stronger smoothing/hysteresis.
The 3 plotted lines
200 (raw) (red): long-term participation / trend health
50 (raw) (blue): short-term participation / momentum health
Smooth(200) (white): SMA of the red line, used for regime decisions
Risk regime engine (sticky + smoothed)
Regime is determined by Smooth(200) with two thresholds (hysteresis):
If Smooth(200) ≥ Risk-ON threshold → RISK ON
If Smooth(200) ≤ Risk-OFF threshold → RISK OFF
Between thresholds → regime stays the same (“sticky”) to avoid frequent flipping.
HUD dashboard
A compact table shows:
Active mode (SPX / NDX / BTC / Miners)
Current regime (RISK ON/OFF)
200 raw / 50 raw / smoothed 200
Current parameters (smoothing + thresholds)
What it’s for
Align trades with risk conditions
Improve entry timing by waiting for breadth confirmation
Avoid “bottom picking” when the market/sector is in RISK OFF
Press winners harder when participation supports continuation
Step-by-step: How to Use It (Playbook)
Step 1 — Pick the correct mode for what you trade
Use the universe that drives your ticker:
Large caps / general equities: SPX Breadth
Tech / growth: Nasdaq-100 Breadth
Crypto exposure: BTC Trend (proxy)
Miners / BTC-linked stocks: Miner Basket Breadth
Rule: If your ticker is a “pack trade” (miners/biotech/spec small caps), use the pack’s breadth, not SPX alone.
Step 2 — Use the regime shading as your “aggression switch”
RISK ON (green background)
Favor longs / adds on pullbacks
Allow wider stops / longer holds
Expect breakouts and trend continuation to work more often
RISK OFF (red background)
Reduce size, tighten risk, take profits faster
Be skeptical of breakouts
Bottom-fishing is lower probability; prefer waiting for regime improvement
This is the core point: your strategy changes with regime.
Step 3 — Understand what the lines mean (mechanically)
Blue (50 raw) = short-term participation
Moves first at turns
Good for early “is selling pressure easing?” signals
Red (200 raw) = long-term participation
Defines whether the universe is broadly in a long-term uptrend vs downtrend
More stable, but slower to turn
White (Smooth(200)) = the decision engine
Filters noise in the red line
Prevents regime from flipping on small, temporary changes
Step 4 — Bottom timing sequence (highest probability)
For bottoms, watch the internal sequence:
RISK OFF + blue line depressed
→ the universe is weak; rallies are often “dead-cat bounces”
Blue (50) turns up (higher lows / rising trend)
→ early evidence the group is improving
Red (200) stabilizes + Smooth(200) rises
→ long-term participation starts recovering
Smooth(200) crosses above Risk-ON threshold
→ regime flips to RISK ON (confirmation that tends to last)
Use it like this:
Early entry attempts: only if you accept higher risk
Higher-probability entries: after step 2 or step 4 depending on your style
Step 5 — Trend continuation and “add points”
In RISK ON:
Adds on pullbacks work best when:
blue line stays above ~50 and/or is rising
Smooth(200) remains above the ON threshold (no loss of regime)
In RISK OFF:
Treat rallies as tactical unless internals improve.
Step 6 — Suggested starting settings (by mode)
These are starting points, not gospel.
SPX / NDX
SmoothLen: 3–5
ON/OFF: 55 / 35 (or similar)
Miners basket
SmoothLen: 7–14 (often needed because basket is step-like)
ON/OFF: 60 / 40 (wider band reduces whipsaw)
BTC proxy
SmoothLen: 10–20
ON/OFF: depends on how strict you want “trend persistence” to be
(Higher smoothing = fewer flips)
Important Notes
Breadth symbols vary by PulseWire data access. If a symbol doesn’t exist on your plan, replace it in inputs.
Miner baskets are sample-based: small baskets move in steps (e.g., 1/9 ≈ 11.1%). That’s normal.
This tool is a context filter, not a standalone trading system. Use with your price structure (S/R, AVWAP, volume profile, trend MAs) for entries/exits.
“Quick Start” (2 rules)
Only press longs in RISK ON.
When hunting bottoms, watch blue (50) turn first, then wait for Smooth(200) confirmation if you want higher win-rate. Indicator
Blockunity Miners Synthesis (BMS)Track the status of Bitcoin and Ethereum Miners' Netflows and their asset reserves.
The Idea
The goal is to provide a simple tool for visualizing the changes in miners' flows and reserves.
How to Use
Analysing the behaviour of miners enables you to detect long-term opportunities, in particular with the state of reserves, but also in the shorter term with the visualization of Netflows.
Elements
Miners Reserves
Miners Reserves represent the balances of addresses belonging to mining pools (in BTC or ETH).
This data can also be displayed in USD via the indicator parameters:
Miners Netflow
The Netflow is calculated by subtracting the outflows from the inflows originating from addresses associated with mining pools. When this result is negative, it indicates that more funds are exiting the miners' accounts than the funds they are receiving. Consequently, negative miner netflows suggests selling activity.
This data can also be displayed in USD via the indicator parameters. You can also choose the timeframe. For example, selecting "Yearly" will give a Netflow daily average taking into account the last 365 days:
Settings
In the settings, you can first choose which asset to view, between Bitcoin and Ethereum. Here are the reserves of Ethereum miners:
As with Bitcoin, Netflow can also be displayed in the timeframe of your choice. Here you can see the average daily netflow of Ethereum miners in USD over the last 30 days:
Here are all the parameters:
Asset Selector: Choose between Bitcoin or Ethereum miner data.
Get values in USD: Displays values in USD instead of assets.
Switch between Netflow and Reserve : If checked, displays Miners' Reserves data. If unchecked, displays Miners' Netflow data.
Display timeframe: Allows you to select the timeframe for displaying the Netflow plot.
Period Lookback (in days): Select the period to be taken into account when calculating the variation percentage of Miners' Reserves.
Lastly, you can modify all table and labels parameters.
Indicator
Market Activity Risk"Market Activity Risk" (MAR) - Is a dynamic tool designed to structurize the competitive landscape of blockchain transaction blocks, offering traders a strategic edge in anticipating market movements.
By capturing where market participants are actively buying and selling, the MAR indicator provides insights into areas of high competition, allowing traders to make informed decisions and potentially front-run transactions.
At the heart of this tool are blockchain transaction fees , they can represent daily shifts in transaction fee pressures.
By measuring momentum in fees, we can analyze the urgency and competition among traders to have their transactions processed first. This indicator is particularly good at revealing potential support or resistance zones, areas where traders are likely to defend their positions or increase their stakes, thus serving as critical junctures for strategic decision-making.
Key Features:
Adaptable Standard Deviation Settings: Users have the flexibility to adjust the length of the standard deviation and its multipliers, managing the risk bands to their individual risk tolerance.
Color-Coded Risk Levels: The MAR indicator employs an intuitive color scheme, making it easy to interpret the data at a glance.
Multi-Currency Compatibility: While designed with Bitcoin in mind, the MAR indicator is versatile, functioning effectively across various cryptocurrencies including Ethereum, XRP, and several other major altcoins. This broad compatibility ensures that traders across different market segments can leverage the insights provided by this tool.
Customizable Moving Average: The 730-day moving average setting is thoughtfully chosen to reflect the nuances of a typical cryptocurrency cycle, capturing long-term trends and fluctuations. However, recognizing the diverse needs and perspectives of traders, the indicator allows for the moving average period to be modified.
Indicator
Bitcoin Miner Extreme SellingThis script is for identifying extreme selling. Judging by the chart, Bitcoin miners often (not always) sell hard for two reasons: to take profit into parabolic price rises, or to stay solvent when the price is very low.
Extreme selling thus often coincides with long-term tops and bottoms in Bitcoin price. This can be a useful EXTRA data point when trying to time long-term Bitcoin spot or crypto equity investment (NOT advice, you remain responsible, etc). The difference between selling measured in BTC and in USD gives a reasonable idea of whether miners are selling to make a profit or to stay solvent.
CREDITS
The idea for using the ratio of miner outflows to reserves comes from the "Bitcoin Miner Sell Pressure" script by the pioneering capriole_charles.
The two request.security calls are identical. Another similarity is that you have to sum the outflows to make it make sense. But it doesn't make much difference, it turns out from testing, to use an average of the reserves, so I didn't. All other code is different.
The script from capriole_charles uses Bollinger bands to highlight periods when sell pressure is high, uses a rolling 30-day sum, and only uses the BTC metrics.
My script uses a configurable 2-6 week rolling sum (there's nothing magical about one month), uses different calculations, and uses BTC, USD, and composite metrics.
INPUTS
Rolling Time Basis : Determines how much data is rolled up. At the lowest level, daily data is too volatile. If you choose, e.g., 1 week, then the indicator displays the relative selling on a weekly basis. Longer time periods, obviously, are smoother but delayed, while shorter time periods are more reactive. There is no "real" time period, only an explicit interpretation.
Show Data > Outflows : Displays the relative selling data, along with a long-term moving average. You might use this option if you want to compare the "real" heights of peaks across history.
Show Data > Delta (the default): Only the difference between the relative selling and the long-term moving average is displayed, along with an average of *that*. This is more signal and less noise.
Base Currency : Configure whether the calculations use BTC or USD as the metric. This setting doesn't use the BTC price at all; it switches the data requested from INTOTHEBLOCK.
If you choose Composite (the default), the script combines BTC and USD together in a relative way (you can't simply add them, as USD is a much bigger absolute value).
In Composite mode, the peaks are coloured red if BTC selling is higher than USD, which usually indicates forced selling, and green if USD is higher, which usually indicates profit-taking. This categorisation is not perfectly accurate but it is interesting insomuch as it is derived from block data and not Bitcoin price.
In BTC or USD mode, a gradient is used to give a rough visual idea of how far from the average the current value is, and to make it look pretty.
USAGE NOTES
Because of the long-term moving averages, the length of the chart does make a difference. I recommend running the script on the longest Bitcoin chart, ticker BLX.
To use it to compare selling with pivots in crypto equities, use a split chart: one BLX with the indicator applied, and one with the equity of your choice. Sync Interval, Crosshair, Time, and Date Range, but not Symbol.
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BTC Hashrate ribbonsBTC Hash Rate ribbons / Hash Rate cross
This strategy goes long when BTCs Hash Rate 30 day moving average crosses above the 60 day moving average, signifying that miner capitulation is over and recovery has started.
When the opposite signal is given, which signifies the beginning of miner capitulation, the strategy goes short (or flat, depending on configuration). This is generally considered the most popular Hash Rate related strategy.
The strategy is based on this medium article: medium.com
Thanks to the recent integration of IntoTheBlock data into Tradingview, we can now effortlessly show Hash Rate data on our chart,
keep in mind however, that IntoTheBlock doesn't provide Hash Rate data on timeframes below daily, so this strategy is based used on the daily, weekly or even monthly time frames.
Hash Rate definition:
The Bitcoin hash rate is the number of times per second that computers on the Bitcoin network are hashing data to verify transactions and perform the encryption that secures the network. The hash rate is an indicator of how healthy the Bitcoin network is at any given time, and is driven primarily by difficulty mining and the number of miners. Generally, a high hash rate is considered a good thing.
More precisely, the Bitcoin hash rate is the number of times per second that computers on the Bitcoin network are hashing data to verify transactions and perform the encryption that secures the network. Strategy
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