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(CRISIS) Aggregate BTC Volume V0.1Agreggate volume from 3 exchanges into one indicator.
Securities can be changed in settings -> inputs
BTC CME Gaps Detector [SwissAlgo]BTC CME Gaps Detector
Track Unfilled Gaps & Identify Price Magnets
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Overview
The BTC CME Gap Detector identifies and tracks unfilled price gaps on any timeframe (1-minute recommended for scalping) to gauge potential trading bias.
Verify Gap Behavior Yourself : Use TradingView's Replay Mode on the 1-Minute chart to observe how the price interacts with gaps. Load the BTC1! ticker (Bitcoin CME Futures), enable Replay Mode, and play forward through time (for example: go back 15 days). You may observe patterns such as price frequently returning to fill gaps, nearest gaps acting as near-term targets, and gaps serving as potential support/resistance zones. Some gaps may fill quickly, while others may remain open for longer periods. This hands-on analysis lets you independently assess how gaps may influence price movement in real market conditions and whether you may use this indicator as a complement to your trading analysis.
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Purpose
Price gaps occur when there is a discontinuity between consecutive candles - when the current candle's low is above the previous candle's high (gap up), or when the current candle's high is below the previous candle's low (gap down).
This indicator identifies and tracks these gaps on any timeframe to help traders:
Identify gap zones that may attract price (potential "price magnets")
Monitor gap fill progression
Assess potential directional bias based on nearest unfilled gaps (long, short)
Analyze market structure and liquidity imbalances
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Why Use This Indicator?
Universal Gap Detection : Identifies all gaps on any timeframe (1-minute, hourly, daily, etc.)
Multi-Candle Mitigation Tracking : Detects gap fills that occur across multiple candles
Distance Analysis : Shows percentage distance to nearest bullish and bearish gaps
Visual Representation : Color-coded boxes indicate gap status (active vs. mitigated)
Age Filtering : Option to display only gaps within specified time periods (3/6/12/24 months), as older gaps may lose relevance
ATR-Based Sizing : Minimum gap size adjusts to instrument volatility to filter noise (i.e. small gaps)
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Trading Concept
Gaps represent price zones where no trading occurred. Historical market behavior suggests that unfilled gaps may attract price action as markets tend to revisit areas of incomplete price discovery. This phenomenon creates potential trading opportunities:
Bullish gaps (above current price) may act as upside targets where the price could move to fill the gap
Bearish gaps (below current price) may act as downside targets where price could move to fill the gap
The nearest gap often provides directional bias, as closer gaps may have a higher probability of being filled in the near term
This indicator helps quantify gap proximity and provides a visual reference for these potential target zones.
EXAMPLE
Step 1: Bearish Gaps Appear Below Price
Step 2: Price Getting Close to Fill Gap
Step 3: Gap Mitigated Gap
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Recommended Setup
Timeframe: 1-minute chart recommended for maximum gap detection frequency. Works on all timeframes (higher timeframes will show fewer, larger gaps).
Symbol: Any tradable instrument. Originally designed for BTC1! (CME Bitcoin Futures) but compatible with all symbols.
Settings:
ATR Length: 14 (default)
Min Gap Size: 0.5x ATR (adjust based on timeframe and noise level)
Gap Age Limit: 3 months (configurable)
Max Historical Gaps: 300 (adjustable 1-500)
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How It Works
Gap Detection : Identifies price discontinuities on every candle where:
Gap up: current candle low > previous candle high
Gap down: current candle high < previous candle low
Minimum gap size filter (ATR-based) eliminates insignificant gaps
Mitigation Tracking : Monitors when price touches both gap boundaries. A gap is marked as filled when the price has touched both the top and bottom of the gap zone, even if this occurs across multiple candles.
Visual Elements :
Green boxes: Unfilled gaps above current price (potential bullish targets)
Red boxes: Unfilled gaps below current price (potential bearish targets)
Gray boxes: Filled gaps (historical reference)
Labels: Display gap type, price level, and distance percentage
Analysis Table: Shows :
Distance % to nearest bullish gap (above price)
Distance % to nearest bearish gap (below price)
Trade bias (LONG if nearest gap is above, SHORT if nearest gap is below)
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Key Features
Detects gaps on any timeframe (1m, 5m, 1h, 1D, etc.)
Boxes extend 500 bars forward for active gaps, stop at the fill bar for mitigated gaps
Real-time distance calculations update on every candle
Configurable age filter removes outdated gaps
ATR multiplier ensures gap detection adapts to market volatility and timeframe
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Disclaimer
This indicator is provided for informational and educational purposes only.
It does not constitute financial advice, investment recommendations, or trading signals. The concept that gaps attract price is based on historical observation and does not guarantee future results.
Gap fills are not certain - gaps may remain unfilled indefinitely, or the price may reverse before reaching a gap. This indicator should not be used as the sole basis for trading decisions.
All trading involves substantial risk, including the potential loss of principal. Users should conduct their own research, apply proper risk management, test strategies thoroughly, and consult with qualified financial professionals before making trading decisions.
The authors and publishers are not responsible for any losses incurred through the use of this indicator.
BTC Confluence Score + Confirmed Signals (12m/1h)This script combines 7 different signals across multiple timeframes (12 min + 1 hour + BTC dominance), then only gives you a BUY or SELL when everything aligns.
It’s designed to filter out fake-outs and help you catch momentum reversals that stick.
WHAT IT’S DOING UNDER THE HOOD
Timeframes
12 min (fast) → short-term trigger (RSI, Stoch RSI, volatility)
1 hour (slow) → trend confirmation (EMA structure, RSI, MACD)
BTC Dominance (1 h) → strength/flow confirmation (is capital rotating into BTC or alts?)
This gives you a multi-timeframe confluence, which is what professional traders look for before entering a trade.
2. The 7 “Score” Ingredients
Each bar gets a “score” from –7 (super bearish) to +7 (super bullish) based on:
# Condition Bullish signal (+1) Bearish signal (–1)
1 RSI (12m) RSI > 50 RSI < 50
2 RSI (1h) RSI > 50 RSI < 50
3 MACD Histogram > 0 Histogram < 0
4 BTC Dominance level > 59.8 % < 59.8 %
5 BTC Dominance trend 3 EMA > 8 EMA 3 EMA < 8 EMA
6 1h EMAs trend 50 EMA > 200 EMA and price > 50 EMA 50 EMA < 200 EMA and price < 50 EMA
7 Volatility (ATR) Current ATR > average (momentum increasing) —
The Confluence Score bar at the bottom shows this numerically:
💚 +5 to +7 → Strong bullish conditions
❤️ –5 to –7 → Strong bearish conditions
🩶 Between –2 and +2 → Choppy / neutral
3️⃣ Confirmed Entry Logic (the clear triangles you see now)
You’ll now see only two real actionable markers:
✅ BUY (Green Triangle Up)
Triggered when:
Stoch RSI crosses upward on 12 min
RSI > 50 (momentum confirmation)
MACD histogram > 0 (trend shift)
Confluence score ≥ 4 (default threshold)
This means momentum + trend + structure + volume all agree on an upward move.
→ Ideal for going long or closing shorts.
🚨 SELL (Red Triangle Down)
Triggered when:
Stoch RSI crosses downward
RSI < 50
MACD histogram < 0
Confluence score ≥ 4 bearish
That’s your exit / short confirmation.
4️⃣ Color Bars (Score Strength)
At the bottom of the chart:
💚 Green Bars = full bullish confluence (+5 or more)
💛 Lime/Orange Bars = moderate bullish or early reversal
❤️ Red Bars = strong bearish confluence (–5 or less)
🩶 Gray Bars = chop/no edge
If you prefer visual simplicity, just use:
BUY = Green Triangle appears on green bars
SELL = Red Triangle appears on red bars
That’s your “double confirmation.”
🎯 HOW TO TRADE IT
⏱ Timeframes
Use 12 min for entries (fast scalps or 1–2 hr setups).
Confirm direction with the 1 hour timeframe — only trade in that direction.
💰 Entry Playbook
Signal What to Do
✅ Green Triangle appears Enter long or scale in. Set stop below recent swing low.
🚨 Red Triangle appears Exit long / enter short / scale out.
Bars gray or alternating Stay out — market is undecided.
🧮 Min Score Setting
Default = 4 (balanced).
Raise to 5 for cleaner, fewer signals.
Lower to 3 for more aggressive, frequent trades.
📲 Alerts
You can now create TradingView alerts using:
BUY Confirmed
SELL Confirmed
Set alert type:
“Once per bar close” — so you only get notified after confirmation, not mid-bar noise.
Y ou now have your own BTC AI Confluence System:
Filters all noise from RSI, MACD, EMAs, volatility, and BTC dominance
Waits for perfect alignment across multiple timeframes
Gives you one simple green (BUY) or red (SELL) signal
Lets you scalp 1–2 % moves safely or swing trade confirmations
BTC Price TrendThe crypto market is reacting very quickly based on BTC price, thus monitoring the BTC price is very helpful.
This script will color the candles based on the BTC price trend. Set the timeframe and down/up percentage to monitor the BTC price trend, and the script should not repaint.
The indicator will monitor the BTC price in a high frame, for example, for 4 hours, if the price goes down the set percentage during one candle, will change the candle color. Thereafter, if the price goes up within a small timeframe (as you set) then the candle color will be changed.
So, in case the bar color is red, then it is recommended to avoid trading since the BTC price is down trending.
The indicator is requesting the BTC price as of now, and the previous closed price, then it will calculate the price difference, if it result is minus, then the price is in a downtrend, else it is in an uptrend.
BTC(Sats Stacking) - CDC Action zone filterType: Indicator (Pine v6) • Category: Strategy Tools / DCA • Overlay: Yes
Overview
This indicator simulates fixed-amount Bitcoin DCA (dollar-cost averaging) and lets you apply a CDC Action Zone filter to only buy in specific market conditions. It plots EMA(12/26) lines with a shaded zone (green when fast > slow, red when slow > fast), shows buy markers on the chart when a DCA event actually executes, and displays a concise performance table.
The simulation tracks real invested capital (sum of your buys), not hypothetical equity injections, and reports PnL vs invested capital.
Key features
DCA frequency: Everyday, Every week, or Every month
CDC filter: Buy on all days, only when CDC is Green (trend-up above fast EMA), or only when Red (trend-down below fast EMA)
Execution price: Choose to buy at bar close or next bar open
Capital controls: Fixed DCA amount per event, optional max budget cap
Currency support: Portfolio currency label plus optional FX conversion (by symbol or manual rate)
Chart visuals: Buy markers on candles; EMA(12/26) lines with shaded “action zone”
Metrics table: Invested capital, buys executed, BTC accumulated, average price per BTC (quote), equity (portfolio), PnL% vs invested, and CAGR
How it works
CDC state:
Green = EMA(fast) > EMA(slow) and price ≥ EMA(fast)
Red = EMA(fast) < EMA(slow) and price < EMA(fast)
DCA trigger: Fires on new day/week/month boundaries (timeframe-agnostic).
Buy execution: When a DCA event occurs and passes the CDC filter and budget check, the script spends the fixed amount and adds the corresponding BTC at the chosen execution price.
Inputs (highlights)
Simulation
Symbol (blank = current chart), Buy at close/open, DCA amount, Max total invested
DCA Schedule
Everyday / Every week / Every month
CDC Action Zone
Filter mode (All / Green only / Red only), Price source, Fast/Slow EMA lengths (defaults 12/26)
Currency / Conversion
Portfolio currency label, Convert on/off, By symbol (e.g., OANDA:USDTHB) or Manual rate
Backtest Range
Optional start/end dates
Style
Show EMA lines and zone, colors and opacities, buy marker size and color
Display
Show qty/price labels on buys, show metrics table, number formatting
Metrics
Invested capital: Sum of all DCA spends in your portfolio currency
Equity (portfolio): BTC holdings marked to market and converted back if FX is enabled
PnL % vs invested: (Equity / Invested - 1) × 100
CAGR: Based on elapsed time from first in-range bar to the latest bar
Average price per BTC (quote): Spend in quote currency divided by BTC accumulated
Notes
This is an indicator, not a broker-connected strategy. It simulates buys and displays results without placing orders.
For more realistic fills, use Buy at next bar open.
If your portfolio currency differs from the symbol’s quote currency, enable Convert and supply a conversion symbol or manual rate.
EMA shading is purely visual; the filter logic uses the same EMA definitions.
Attribution & License
Inspired by the DCA idea and community simulations; CDC filtering implemented with standard EMA(12/26) logic.
License: MPL-2.0 (see code header).
Author: MiSuNoJo
Disclaimer
This tool is for research and education only and is not financial advice. Past performance does not guarantee future results. Use at your own risk.
BTC Fractal Momentum ExtremesDescription – BTC Fractal Momentum Extremes (BTCFME)
BTC Fractal Momentum Extremes (BTCFME) is a multi-factor, multi-method technical indicator designed to detect potential top and bottom reversal points in Bitcoin price action by integrating a confluence of unconventional signals. It combines fractals, adaptive momentum, volume dynamics, price velocity convergence, and market structure shifts — all filtered through real-time volatility and contextualized by temporal market conditions.
This tool is best used by traders looking to spot high-confidence turning points on intraday or swing timeframes, and works particularly well in volatile, momentum-driven environments.
Key Components & Methodology
BTCFME utilizes five independent signal-generation methods:
1. Fractal Volume Divergence
Detects reversal fractals in price (5-bar patterns) and validates them with volume anomalies:
Volume spikes (e.g., climax moves) or
Volume exhaustion (e.g., waning participation)
2. Adaptive Momentum Oscillator
Calculates momentum normalized by ATR-adjusted volatility, filtering out noise in choppy markets. It spots directional shifts when momentum inflects from extreme levels.
3. Market Structure Breaks
Identifies dynamic support and resistance using a configurable lookback, and flags potential breakouts or breakdowns from those levels.
4. Price Velocity Convergence
Analyzes the rate of change (velocity) and its acceleration. When both compress within a narrow volatility range, it signals a potential inflection zone.
5. Temporal Confluence Filter
Signals are only considered valid during active market hours (9 AM – 4 PM, excluding weekends) to reduce false positives during illiquid or inefficient trading periods.
Signal Logic & Sensitivity
Signals are generated when at least 3 out of 4 core methods agree, controlled by the Signal Sensitivity setting:
1 (High Sensitivity) = Trigger signals with fewer confirmations
5 (Low Sensitivity) = Require stronger multi-factor confluence
🔹 Buy (Bottom) Signals trigger when:
Bullish fractals appear
Momentum is deeply negative but improving
Price tests structure support
Velocity compresses below average
🔺 Sell (Top) Signals trigger when:
Bearish fractals with volume spikes appear
Momentum peaks and starts to decline
Price tests resistance
Velocity compresses near highs
Visual Features
Arrows: Buy signals = green arrow below candle. Sell signals = red arrow above candle.
Background Color: Indicates overall momentum regime (green = bullish bias, red = bearish, gray = neutral).
Dynamic Support & Resistance Lines: Based on recent swing highs/lows.
Signal Table (top-right): Shows real-time stats on:
Momentum value
Volatility factor
Volume strength (vs. 20-SMA)
Market structure status
Alerts
You can set alerts using the built-in conditions:
BTC Bottom Alert → Fires on potential market bottoms.
BTC Top Alert → Fires on potential market tops.
These alerts are filtered to avoid whipsaw conditions, by checking that opposite signals did not trigger in the last 2 candles.
How to Use
Timeframes: Best suited for 1H–4H and Daily BTC charts, but adaptable to others with parameter tuning.
Confirm with Price Action: Use BTCFME signals in conjunction with candlestick patterns or S/R zones for best results.
Adjust Sensitivity: Lower values catch more signals (good for scalping), higher values filter for stronger reversals (ideal for swing trades).
Use in Trending or Reversing Markets: BTCFME performs best during trending environments or volatile reversals — avoid during prolonged flat/ranging zones.
Notes & Recommendations
BTCFME is not a standalone buy/sell signal; combine it with risk management and trend confirmation tools.
Avoid using it during extremely low-volume sessions (e.g., late weekends).
Adjust parameters based on BTC's evolving volatility and your trading style.
BTC vs ALT Lag Detector [MEXC Overlay]This indicator monitors the price movement of Bitcoin (BTC) and compares it in real time to a customizable list of major altcoins on the MEXC exchange.
It helps you identify lagging altcoins — tokens that are underperforming or overperforming BTC’s price action over a selected timeframe. These temporary deviations can offer profitable entry or rotation opportunities, especially for scalpers, day traders, and arbitrage-style strategies.
Key Features:
- Real-time deviation detection between BTC and altcoins
- Customizable comparison timeframe: 1m, 6m, 12m, 30m, 1h, 4h, or 1d
- Deviation threshold alert: Highlights coins that lag BTC by more than 0.5%, 1%, 2%, or 3%
- Compact stats table embedded in the price chart
- Fully adjustable layout: Table position (Top/Bottom/Center + Left/Right), Font size (Tiny, Small, Medium)
- Built-in alert system when deviation exceeds your chosen threshold
How to Use It:
Set your desired timeframe for comparison (e.g., 1 hour).
Select a deviation threshold (e.g., 1.0%).
The table will show:
Each altcoin’s % change
BTC’s % change
The delta (deviation) vs BTC
Red highlights indicate alts whose deviation exceeded the threshold.
When at least one alt lags beyond your threshold, the indicator can trigger an alert — helping you capitalize on potential catch-up trades.
Please provide any feedback on it.
BTC Trading RobotOverview
This Pine Script strategy is designed for trading Bitcoin (BTC) by placing pending orders (BuyStop and SellStop) based on local price extremes. The script also implements a trailing stop mechanism to protect profits once a position becomes sufficiently profitable.
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Inputs and Parameter Setup
1. Trading Profile:
o The strategy is set up specifically for BTC trading.
o The systemType input is set to 1, which means the strategy will calculate trade parameters using the BTC-specific inputs.
2. Common Trading Inputs:
o Risk Parameters: Although RiskPercent is defined, its actual use (e.g., for position sizing) isn’t implemented in this version.
o Trading Hours Filter:
SHInput and EHInput let you restrict trading to a specific hour range. If these are set (non-zero), orders will only be placed during the allowed hours.
3. BTC-Specific Inputs:
o Take Profit (TP) and Stop Loss (SL) Percentages:
TPasPctBTC and SLasPctBTC are used to determine the TP and SL levels as a percentage of the current price.
o Trailing Stop Parameters:
TSLasPctofTPBTC and TSLTgrasPctofTPBTC determine when and by how much a trailing stop is applied, again as percentages of the TP.
4. Other Parameters:
o BarsN is used to define the window (number of bars) over which the local high and low are calculated.
o OrderDistPoints acts as a buffer to prevent the entry orders from being triggered too early.
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Trade Parameter Calculation
• Price Reference:
o The strategy uses the current closing price as the reference for calculations.
• Calculation of TP and SL Levels:
o If the systemType is set to BTC (value 1), then:
Take Profit Points (Tppoints) are calculated by multiplying the current price by TPasPctBTC.
Stop Loss Points (Slpoints) are calculated similarly using SLasPctBTC.
A buffer (OrderDistPoints) is set to half of the take profit points.
Trailing Stop Levels:
TslPoints is calculated as a fraction of the TP (using TSLTgrasPctofTPBTC).
TslTriggerPoints is similarly determined, which sets the profit level at which the trailing stop will start to activate.
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Time Filtering
• Session Control:
o The current hour is compared against SHInput (start hour) and EHInput (end hour).
o If the current time falls outside the allowed window, the script will not place any new orders.
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Entry Orders
• Local Price Extremes:
o The strategy calculates a local high and local low using a window of BarsN * 2 + 1 bars.
• Placing Stop Orders:
o BuyStop Order:
A long entry is triggered if the current price is less than the local high minus the order distance buffer.
The BuyStop order is set to trigger at the level of the local high.
o SellStop Order:
A short entry is triggered if the current price is greater than the local low plus the order distance buffer.
The SellStop order is set to trigger at the level of the local low.
Note: Orders are only placed if there is no current open position and if the session conditions are met.
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Trailing Stop Logic
Once a position is open, the strategy monitors profit levels to protect gains:
• For Long Positions:
o The script calculates the profit as the difference between the current price and the average entry price.
o If this profit exceeds the TslTriggerPoints threshold, a trailing stop is applied by placing an exit order.
o The stop price is set at a distance below the current price, while a limit (profit target) is also defined.
• For Short Positions:
o The profit is calculated as the difference between the average entry price and the current price.
o A similar trailing stop exit is applied if the profit exceeds the trigger threshold.
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Summary
In essence, this strategy works by:
• Defining entry levels based on recent local highs and lows.
• Placing pending stop orders to enter the market when those levels are breached.
• Filtering orders by time, ensuring trades are only taken during specified hours.
• Implementing a trailing stop mechanism to secure profits once the trade moves favorably.
This approach is designed to automate BTC trading based on price action and dynamic risk management, although further enhancements (like dynamic position sizing based on RiskPercent) could be added for a more complete risk management system.
BTC Price Percentage Difference( Bitfinex - Coinbase)Introduction:
The BTC Price Percentage Difference Histogram Indicator is a powerful tool designed to help traders visualize and capitalize on the price discrepancies of Bitcoin (BTC) between two major exchanges: Bitfinex and Coinbase. By calculating the real-time percentage difference of BTC-USD prices and displaying it as a color-coded histogram, this indicator enables you to quickly spot potential arbitrage opportunities and gain deeper insights into market dynamics.
Features:
• Real-Time Percentage Difference Calculation:
• Computes the percentage difference between BTC-USD prices on Bitfinex and Coinbase.
• Color-Coded Histogram Visualization:
• Green Bars: Indicate that the BTC price on Bitfinex is higher than on Coinbase.
• Red Bars: Indicate that the BTC price on Bitfinex is lower than on Coinbase.
• User-Friendly and Intuitive:
• Simple setup with no additional inputs required.
• Automatically adapts to the chart’s timeframe for seamless integration.
Why Bitfinex Whales Matter:
Bitfinex is renowned for hosting some of the largest Bitcoin traders, often referred to as “whales.” These influential players have the capacity to move the market, and historically, they’ve demonstrated a high success rate in buying at market bottoms and selling at market tops. By tracking the price discrepancies between Bitfinex and other exchanges like Coinbase, you can gain valuable insights into the sentiment and actions of these key market participants.
BTC Correlation PercentagePurpose
This indicator displays the correlation percentage between the current trading instrument and Bitcoin (BTC/USDT) as a text label on the chart. It helps traders quickly assess how closely an asset's price movements align with Bitcoin's fluctuations.
Key Features
Precise Calculation: Shows correlation as a percentage with one decimal place (e.g., 25.6%).
Customizable Appearance: Allows adjustment of colors, position, and calculation period.
Clean & Simple: Displays only essential information without cluttering the chart.
Universal Compatibility: Works on any timeframe and with any trading pair.
Input Settings
Core Parameters:
BTC Symbol – Ticker for Bitcoin (default: BINANCE:BTCUSDT).
Correlation Period – Number of bars used for calculation (default: 50 candles).
Show Correlation Label – Toggle visibility of the correlation label.
Visual Customization:
Text Color – Label text color (default: white).
Background Color – Label background color (default: semi-transparent blue).
Border Color – Border color around the label (default: gray).
Label Position – Where the label appears on the chart (default: top-right).
Interpreting Correlation Values
70% to 100% → Strong positive correlation (asset moves in sync with BTC).
30% to 70% → Moderate positive correlation.
-30% to 30% → Weak or no correlation.
-70% to -30% → Moderate negative correlation (asset moves opposite to BTC).
-100% to -70% → Strong negative correlation.
Practical Use Cases
For Altcoins: A correlation above 50% suggests high dependence on Bitcoin’s price action.
For Futures Trading: Helps assess systemic risks tied to BTC movements.
During High Volatility: Determines whether an asset’s price change is driven by its own factors or broader market trends.
How It Works
The indicator recalculates automatically with each new candle. For the most reliable results, it is recommended for use on daily or higher timeframes.
This tool provides traders with a quick, visual way to gauge Bitcoin’s influence on other assets, improving decision-making in crypto markets. 🚀
This response is AI-generated, for reference only.
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BTC Daily DCA CalculatorThe BTC Daily DCA Calculator is an indicator that calculates how much Bitcoin (BTC) you would own today by investing a fixed dollar amount daily (Dollar-Cost Averaging) over a user-defined period. Simply input your start date, end date, and daily investment amount, and the indicator will display a table on the last candle showing your total BTC, total invested, portfolio value, and unrealized yield (in USD and percentage).
Features
Customizable Inputs: Set the start date, end date, and daily dollar amount to simulate your DCA strategy.
Results Table: Displays on the last candle (top-right of the chart) with:
Total BTC: The accumulated Bitcoin from daily purchases.
Total Invested ($): The total dollars invested.
Portfolio Value ($): The current value of your BTC holdings.
Unrealized Yield ($): Your profit/loss in USD.
Unrealized Yield (%): Your profit/loss as a percentage.
Visual Markers: Green triangles below the chart mark each daily investment.
Overlay on Chart: The table and markers appear directly on the BTCUSD price chart for easy reference.
Daily Timeframe: Designed for Daily (1D) charts to ensure accurate calculations.
How to Use
Add the Indicator: Apply the indicator to a BTCUSD chart (e.g., Coinbase:BTCUSD, Binance:BTCUSDT).
Set Daily Timeframe: Ensure your chart is on the Daily (1D) timeframe, or the script will display an error.
Configure Inputs: Open the indicator’s Settings > Inputs tab and set:
Start Date: When to begin the DCA strategy (e.g., 2024-01-01).
End Date: When to end the strategy (e.g., 2025-04-27 or earlier).
Daily Investment ($): The fixed dollar amount to invest daily (e.g., $100).
View Results: Scroll to the last candle in your date range to see the results table in the top-right corner of the chart. Green triangles below the bars indicate investment days.
Settings
Start Date: Choose the start date for your DCA strategy (default: 2024-01-01).
End Date: Choose the end date (default: 2025-04-27). Must be after the start date and within available chart data.
Daily Investment ($): Set the daily investment amount (default: $100). Minimum is $0.01.
Notes
Timeframe: The indicator requires a Daily (1D) chart. Other timeframes will trigger an error.
Data: Ensure your BTCUSD chart has historical data for the selected date range. Use reliable pairs like Coinbase:BTCUSD or Binance:BTCUSDT.
Limitations: Does not account for trading fees or slippage. Future dates (beyond the current date) will not display results.
Performance: Works best with historical data. Free TradingView accounts may have limited historical data; consider premium for longer ranges.
BTC Macro Composite Global liquidity Index -OffsetThis indicator is based on the thesis that Bitcoin price movements are heavily influenced by macro liquidity trends. It calculates a weighted composite index based on the following components:
• Global Liquidity (41%): Sum of central bank balance sheets (Fed , ECB , BoJ , and PBoC ), adjusted to USD.
• Investor Risk Appetite (22%): Derived from the Copper/Gold ratio, inverse VIX (as a risk-on signal), and the spread between High Yield and Investment Grade bonds (HY vs IG OAS).
• Gold Sensitivity (15–20%): Combines the XAUUSD price with BTC/Gold ratio to reflect the historical influence of gold on Bitcoin pricing.
Each component is normalized and then offset forward by 90 days to attempt predictive alignment with Bitcoin’s price.
The goal is to identify macro inflection points with high predictive value for BTC. It is not a trading signal generator but rather a macro trend context indicator.
❗ Important: This script should be used with caution. It does not account for geopolitical shocks, regulatory events, or internal BTC market structure (e.g., miner behavior, on-chain metrics).
💡 How to use:
• Use on the 1D timeframe.
• Look for divergences between BTC price and the macro index.
• Apply in confluence with other technical or fundamental frameworks.
🔍 Originality:
While similar components exist in macro dashboards, this script combines them uniquely using time-forward offsets and custom weighting specifically tailored for BTC behavior.
BTC/Dominance RSI by Sajad BagheriTitle: "BTC/Dominance RSI by Sajad Bagheri"
Description: "Combines BTC Price RSI (Red) and BTC Dominance RSI (Green) to detect trend conflicts and overbought/oversold conditions."
Category: Oscillators
Tags: #BTC, #Dominance, #RSI, #Bitcoin
Access: Public/Private
BTC/Dominance RSI by Sajad BagheriTitle: "BTC/Dominance RSI by Sajad Bagheri"
Description: "Combines BTC Price RSI (Red) and BTC Dominance RSI (Green) to detect trend conflicts and overbought/oversold conditions."
Category: Oscillators
Tags: #BTC, #Dominance, #RSI, #Bitcoin
Access: Public/Private
BTC/Fiat Divergence & Spread Monitor📄 BTC/Fiat Divergence & Spread Monitor
This indicator visualizes Bitcoin’s relative performance across multiple fiat currencies and highlights periods of unusual divergence. It helps traders assess which fiat pairs BTC has outperformed or underperformed over a configurable lookback period and monitor the dynamic spread between the strongest and weakest pairs.
Features:
Relative Performance Matrix:
Ranks BTC returns in 6 fiat pairs, displaying a color-coded table of percentage changes and ranks.
Divergence Spread Oscillator:
Calculates the spread between the top and bottom performing pairs and normalizes this using a Z-Score. The oscillator helps identify when fiat pricing divergence is unusually high or compressed.
Dynamic Smoothing:
Optional Hull Moving Average smoothing to reduce noise in the spread signal.
Customizable Inputs:
Lookback period for percent change.
Z-Score normalization window.
Smoothing length.
Symbol selection for each fiat pair.
Visual Mode Toggle:
Switch between relative performance lines and spread oscillator view.
Potential Use Cases:
Fiat Rotation:
Identify which fiat is relatively weak or strong to optimize your exit currency when taking BTC profits.
Volatility Detection:
Use the spread Z-Score to detect periods of high divergence across fiat pairs, signaling macro FX volatility or dislocations.
Regime Analysis:
Track when fiat spreads are converging or expanding, potentially signaling market regime shifts.
Risk Management:
When divergence is extreme (Z-Score > +1), consider reducing position sizing or waiting for reversion.
Disclaimer:
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making trading decisions. Use at your own risk.
Tip:
Experiment with different lookback periods and smoothing settings to adapt the indicator to your timeframe and trading style.
Coinbase BTC Premium by BIGTAKERBTC Premium Gap Analysis: Binance, Coinbase, Upbit
This indicator provides real-time analysis and visualization of the premium gap between the Binance BTCUSDT price and the BTC prices on Coinbase (BTCUSD) and Upbit (BTCKRW).
Key Features
Coinbase Premium Gap
Measures the price difference between Coinbase and Binance as a percentage.
To improve visibility, the Coinbase premium is visually amplified by 10x.
Upbit Premium Gap
Calculates the premium by comparing Upbit's BTCKRW price (converted into USD using the real-time USDKRW exchange rate) against Binance BTCUSDT.
Dynamic Color Coding
Premiums above 0% are displayed in lime green, indicating positive premiums.
Premiums below 0% are displayed in red, indicating discounts.
Real-Time Labels
Displays real-time premium values for both Coinbase and Upbit on the right side of the chart.
Additional Notes
Upbit premiums are adjusted for the USD/KRW exchange rate to ensure accurate USD-based comparison.
The Coinbase premium is magnified visually (10x) to better capture minor movements, while the actual premium value remains correctly displayed.
The indicator is optimized for traders who monitor global BTC market price disparities across major exchanges.
How to Use
Quickly track global BTC price discrepancies across Binance, Coinbase, and Upbit.
Detect "Kimchi Premium" conditions in the Korean market through Upbit premiums.
Analyze buying and selling pressure in North American markets through Coinbase premiums.
BTC Volatility ForecastThe "BTC Volatility Forecast" indicator is designed to help traders anticipate Bitcoin (BTC) price volatility by analyzing historical daily price ranges and projecting future fluctuations. Inspired by advanced volatility forecasting studies, it calculates an approximate realized variance using the squared difference between each day’s high and low prices. By applying a simple linear regression model over the past five days of variance data (customizable via the "Lag Period" input), the indicator provides a forecast for the next day’s volatility. This makes it a valuable tool for BTC traders looking to gauge potential market turbulence and adjust their strategies accordingly.
On the chart, the indicator displays two lines: a blue solid line representing the current realized variance and an orange line showing the forecasted volatility for the upcoming day. Traders can set a "Volatility Threshold" to trigger alerts when the forecast exceeds a specified level, aiding in risk management or trade planning. A debug label on the last bar also shows the exact current and forecasted values for quick reference. While this version uses daily data for simplicity, it captures the essence of volatility prediction and can be a starting point for understanding BTC market dynamics—perfect for both novice and experienced traders on TradingView.
BTC x M2 Divergence (Weekly)### Why the "M2 Money Supply vs BTC Divergence with Normalized RSI" Indicator Should Work
IMPORTANT
- Weekly only indicator
- Combine it with BTC Halving Cycle Profit for better results
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator leverages the relationship between macroeconomic factors (M2 money supply) and Bitcoin price movements, combined with technical analysis tools like RSI, to provide actionable trading signals. Here's a detailed rationale on why this indicator should be effective:
1. **Macroeconomic Influence**:
- **M2 Money Supply**: Represents the total money supply, including cash, checking deposits, and easily convertible near money. Changes in M2 reflect liquidity in the economy, which can influence asset prices, including Bitcoin.
- **Bitcoin Sensitivity to Liquidity**: Bitcoin, being a digital asset, often reacts to changes in liquidity conditions. An increase in money supply can lead to higher asset prices as more money chases fewer assets, while a decrease can signal tightening conditions and lower prices.
2. **Divergence Analysis**:
- **Economic Divergence**: The indicator calculates the divergence between the percentage changes in M2 and Bitcoin prices. This divergence can highlight discrepancies between Bitcoin's price movements and broader economic conditions.
- **Market Inefficiencies**: Large divergences may indicate inefficiencies or imbalances that could lead to price corrections or trends. For example, if M2 is increasing (indicating more liquidity) but Bitcoin is not rising proportionately, it might suggest a potential upward correction in Bitcoin's price.
3. **Normalization and Smoothing**:
- **Normalized Divergence**: Normalizing the divergence to a consistent scale (-100 to 100) allows for easier comparison and interpretation over time, making the signals more robust.
- **Smoothing with EMA**: Applying Exponential Moving Averages (EMAs) to the normalized divergence helps to reduce noise and identify the underlying trend more clearly. This double-smoothed divergence provides a clearer signal by filtering out short-term volatility.
4. **RSI Integration**:
- **RSI as a Momentum Indicator**: RSI measures the speed and change of price movements, indicating overbought or oversold conditions. Normalizing the RSI and incorporating it into the divergence analysis helps to confirm the strength of the signals.
- **Combining Divergence with RSI**: By using RSI in conjunction with divergence, the indicator gains an additional layer of confirmation. For instance, a bullish divergence combined with an oversold RSI can be a strong buy signal.
5. **Dynamic Zones and Sensitivity**:
- **Good DCA Zones**: Highlighting zones where the divergence is significantly positive (good DCA zones) indicates periods where Bitcoin might be undervalued relative to economic conditions, suggesting good buying opportunities.
- **Red Zones**: Marking zones with extremely negative divergence, combined with RSI confirmation, identifies potential market tops or bearish conditions. This helps traders avoid buying into overbought markets or consider selling.
- **Peak Detection**: The sensitivity setting for detecting upside down peaks allows for early identification of potential market bottoms, providing timely entry points for traders.
6. **Visual Cues and Alerts**:
- **Clear Visualization**: The plots and background colors provide immediate visual feedback, making it easier for traders to spot significant conditions without deep analysis.
- **Alerts**: Built-in alerts for key conditions (good DCA zones, red zones, sell signals) ensure traders can act promptly based on the indicator's signals, enhancing the practicality of the tool.
### Conclusion
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator integrates macroeconomic data with technical analysis to offer a comprehensive view of Bitcoin's market conditions. By analyzing the divergence between M2 money supply and Bitcoin prices, normalizing and smoothing the data, and incorporating RSI for momentum confirmation, the indicator provides robust signals for identifying potential buying and selling opportunities. This holistic approach increases the likelihood of capturing significant market movements and making informed trading decisions.
