Indicator
[3Commas] Triple RSI DCA Long - Risk Adjusted Averaging Strategy🔷 What it does:
This strategy executes a long-only Dollar-Cost-Averaging approach driven by three independent RSI signals layered across two timeframes. It opens a base order on a 5-minute RSI exit-from-oversold confirmation, layers a martingale-scaled safety order ladder triggered by a 30-minute RSI signal in combination with a faster 5-minute short-period RSI signal, and exits the entire position on a percentage-based take profit measured from the average entry. The architecture is designed for risk-first deployment - capturing partial upside of trending moves while maintaining a structurally bounded drawdown profile.
Base Order entry: RSI(14) on 5m crosses above 30 (oversold-exit confirmation)
Safety Order trigger: RSI(14) on 30m OR RSI(7) on 5m crosses above 30, coinciding with a structural deviation from base price
Martingale ladder: 3 safety orders, volume scale 1.9×, price step 1.0% with deviation coefficient 1.65
Take Profit: configurable percentage from average entry (default 1.3%)
🔷 Who is it for:
DCA-style traders who prefer averaged-in entries over single-shot directional bets.
Risk-conscious participants who want a smoother equity curve than passive holding.
Bot operators who automate execution through webhook integration with a DCA Bot.
Cross-instrument testers who want a single signal framework portable across crypto, perpetuals, and tokenized equities.
🔷 How does it work:
Long Entry: A base order opens when RSI(14, 5m) crosses above 30, signaling exit from a short-term oversold regime. The crossover is a single-shot confirmation per cycle to prevent re-entries during unconfirmed bottoming.
Short Entry: Not used - strategy is long-only by design.
Exit Management: The full position closes when price reaches Average Entry × (1 + Take Profit %). The strategy carries no stop loss; invalidation is replaced by the depth of the safety order ladder, which absorbs a structural pullback of up to 5.37% from base before the ladder is fully consumed.
🔷 Why it's unique:
Multi-timeframe RSI stack - three independent RSI conditions across 5m and 30m act as a regime filter, reducing false entries during trendless chop and isolating only confirmed oversold-exit conditions. Different lookback lengths (RSI(14) and RSI(7)) on the same 5m timeframe capture both medium-term and short-term momentum exhaustion, while the 30m RSI(14) provides higher-timeframe trend-context confirmation for safety orders.
Structural averaging architecture - safety orders trigger only at predefined cumulative deviations from base price (−1.00%, −2.65%, −5.37%), not at fixed time intervals. This aligns re-entries with structurally significant price levels rather than arbitrary clock-based steps, preserving capital efficiency on shallow pullbacks.
Bot Integration - all entries and exits expose alert events with webhook-ready JSON payloads, enabling automated execution through a connected DCA Bot. The strategy publishes the signal, the bot handles position management on the exchange autonomously across multiple pairs.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Designed and tested on a 3-minute base chart with the multi-RSI signal stack pulling from 5m and 30m. Best suited to liquid, volatile instruments with sufficient intraday range to populate all three RSI conditions - perpetual contracts, tokenized equities, and major altcoins. Not recommended for low-volatility, sideways-only assets where RSI rarely cycles through oversold zones.
Limitations: The strategy carries no stop loss. In sustained downtrends extending beyond the deepest safety order (−5.37% from base), the position holds unrealized loss until either the average is recovered or the deal is manually closed. Consider adding a regime filter (e.g., long-term moving average) for deployment in non-trending or bearish markets.
Backtesting & Demo Testing: Always run extended backtests across multiple market regimes — uptrend, downtrend, and ranging — before deploying real capital. Demo-trade for at least one month to observe behavior in conditions not represented in historical data. Past performance is not indicative of future results.
Parameter Adjustments: Default commission and slippage values are calibrated for typical perpetual venues. Adjust commission_value to match your exchange (e.g., 0.05 for OKX Perpetual, 0.055 for Bybit Perpetual, 0.04 for Binance USD-M Futures, 0.10 for Binance Spot, 0.40 for Kraken Spot). Slippage of 5 ticks accounts for typical taker execution on liquid pairs — reduce for very tight markets, increase for thin altcoin order books. Take profit, safety order step, and volume scale should be tuned per instrument volatility profile (see preset section below).
🔷 STRATEGY PROPERTIES
Symbol: OKX:COINUSDT.P (Perpetual Swap on tokenized Coinbase Global stock).
Timeframe: 3m chart with multi-timeframe signal stack (5m / 30m).
Test Period: Feb 26, 2026 - May 7, 2026 (instrument's full available history since listing on OKX).
Initial Capital: 200 USDT.
Order Size per Trade: Base Order 20.075 USDT, Safety Orders 15.075 / 28.64 / 54.42 USDT (martingale ×1.9). Maximum cumulative position notional ≈ 118.21 USDT. Observed Max Drawdown 5.55% - well within the ≤10% threshold.
Commission: OKX taker 0.05% - matches exchange schedule for the tested venue.
Slippage: 5 ticks - accounts for typical taker execution on liquid perpetual contracts.
Margin for Long and Short Positions: 100% (1× leverage assumed; no margin amplification applied).
Indicator Settings: Default Configuration.
Base Order Volume: 20.075 USDT
Safety Order (1st): 15.075 USDT
Max Safety Orders: 3
Volume Scale: 1.9
Price Step (1st SO): 1.0%
Step Scale: 1.65
Take Profit: 1.3% from average entry
Entry Signal: RSI(14, 5m) crossover above 30
SO Signal: RSI(14, 30m) OR RSI(7, 5m) crossover above 30
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +26.56 USDT (+13.28%)
Max Drawdown: 11.84 USDT (5.55%)
Total Closed Trades: 104
Percent Profitable: 73.08% (76 / 104)
Profit Factor: 3.911
Average Trade:
Average # Bars in Trades:
Benchmarking versus Buy & Hold over the same period:
Strategy: Max +13.43% / Current +13.43% / Min −0.66%
Buy & Hold: Max +16.83% / Current +10.66% / Min −7.54%
The strategy captured higher current return than passive holding while drawing down ~11× less at the worst point of the period - reflecting the risk-first design intent.
🔷 RECOMMENDED PRESETS FOR OTHER INSTRUMENTS
These tuning starting points are derived from comparable backtests on adjacent instruments. Always re-validate on your own venue and capital before live deployment.
COINUSDT.P (OKX Perpetual — current default):
Take Profit: 1.3% | SO Step: 1.0% | Step Scale: 1.65 | Volume Scale: 1.9
Entry: RSI(14, 5m) > 30 | SO: RSI(14, 30m) OR RSI(7, 5m) > 30
Reference period: Feb 2026 — May 2026 | Trades: 104 | Max DD: 5.55% | PF: 3.91
General tuning notes:
Higher-volatility instruments (low-cap altcoins, fresh listings): widen SO step to 1.3–1.5%, raise Step Scale to 1.8–2.0.
Lower-volatility instruments (BTC, ETH on major venues): tighten SO step to 0.6–0.8%, lower TP to 0.8–1.2%.
Ranging or accumulation regimes: lower TP (0.8–1.2%) for higher trade frequency.
Trending regimes: raise TP (2.0–3.0%) to capture larger structural moves.
🔷 How to Use It:
🔸 Adjust Settings: Set Base Order and Safety Order sizes proportional to your capital. The default 20 / 15-USDT structure is calibrated for a 200-USDT test account; scale linearly to your equity. Use the preset table above as a starting point for the instrument you intend to trade, then refine on your own backtest.
🔸 Results Review: Verify Maximum Drawdown stays within your personal risk budget. The strategy is configured to remain below 10% on tested instruments, but extended history may shift this profile. Re-test on your own venue using venue-specific commission and slippage. Demo-trade for at least one month before any live deployment.
🔸 Create alerts to trigger the DCA Bot: Two alert conditions are exposed by the script - "Deal Entry" fires on each new base order, and "Deal TP" fires when the take profit target is hit. Configure both alerts in PulseWire with webhook URLs pointing to your DCA Bot's deal-start and close-deal endpoints. Once configured, the strategy publishes the signal and the bot handles execution on the exchange autonomously.
🔷 INDICATOR SETTINGS
Base Order Volume (USD) - Notional value of the initial entry per cycle.
Safety Order Volume (1st, USD) - Notional value of the first averaging-down order; subsequent SOs scale by Volume Scale.
Max Safety Orders - Total number of averaging steps available per deal.
Volume Scale (martingale) - Size multiplier applied to each successive safety order.
Price Step % (1st SO) - Percentage deviation from base price that triggers the first safety order.
Step Scale (martingale) - Multiplier applied to each successive deviation step.
Take Profit % (from AVG) - Profit target percentage measured from average entry price.
Entry RSI Length / Threshold / Timeframe - Parameters for the base order RSI signal.
SO Sig 1 — RSI Length / Threshold / Timeframe - Parameters for the first safety order trigger.
SO Sig 2 — RSI Length / Threshold / Timeframe - Parameters for the second safety order trigger (OR-combined with the first).
Limit by date window? - Toggle to constrain backtest to a specific date range.
From / To - Date range bounds applied when the window filter is enabled.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
Indicator
BTC - PRISM: Proportional Risk & Institutional Sentiment ModelPRISM: Proportional Risk & Institutional Sentiment Model
Overview
PRISM is a multi-dimensional quantitative suite engineered to identify structural turning points in Bitcoin market cycles. While traditional indicators often suffer from "regime drift" as market dynamics evolve—such as the transition from a retail-centric environment to the institutional ETF era—PRISM utilizes a Consensus Ensemble Engine to maintain precision across fragmented market conditions. By synchronizing ten distinct data pillars across On-Chain health, TradFi flows, and global liquidity, PRISM provides a singular, high-conviction risk score between 0 and 100.
The Core Engine: Classical vs. Adaptive Modeling
The unique mathematical foundation of PRISM is its dual-processing architecture. Every data pillar is calculated through two independent quantitative philosophies before being synthesized into the final consensus score.
The Classical Model (Fixed Baseline): Built on Linear Normalization , this model utilizes absolute historical boundaries (e.g., fixed Mayer Multiple and MVRV extremes). It asks: "How extreme is this value relative to the blow-off tops of 2013, 2017, and 2021?" This model provides a "Hard Anchor" for the script, ensuring it remains grounded in Bitcoin’s long-term history.
The Adaptive Model (Statistical Rolling Baseline): Built on Z-Score Standardization , this model calculates the distance of the current value from its own 365-day mean in units of Standard Deviation . It asks: "How extreme is this value relative to the market behavior of the last year ?" This is critical for the modern era, where institutional floors and floors are evolving beyond historical precedents.
The Consensus Blend Mechanism
Through the Model Blend input, users can calibrate the "weight" of these two philosophies. This effectively allows PRISM to monitor 20 data streams simultaneously.
0.0 (Classical): Prioritizes historical fixed targets.
0.6 (Professional Standard): My recommended default 40/60 blend. This provides a slight bias toward modern statistical sensitivity while maintaining a strong 40% anchor in historical cycle data.
1.0 (Adaptive): Focuses entirely on modern statistical deviations.
The Three-Stage Sell Engine: Saturation, Rollover, and Hysteresis
Unlike standard oscillators that trigger on a single spike, PRISM uses a logic-gated "Sell Engine" to differentiate between a healthy rally and terminal exhaustion.
Stage 1: Statistical Saturation (The Dots): This frequency-based signal monitors a lookback window (default 30 days). If the PRISM Score remains in the "Scorched Zone" (>75) for a specific density (default 20 out of 30 bars), a Red Dot prints at the bottom. This pinpoint identifies Liquidity Exhaustion —the point where "dry powder" is gone and the market is structurally overextended.
Stage 2: Momentum Rollover (The Hook): The engine monitors the first derivative (slope) of our ALMA signal line. A Critical Sell State is triggered if the score is in the extreme zone (>80) and the slope turns negative, or if the raw score crosses under the signal line (The Hook).
Stage 3: Hysteresis State-Machine (The Glow): To eliminate "signal flickering," we use a Hysteresis Glow . Once the Critical Sell State is activated, the engine locks into a defensive posture. The red background shading remains active until the PRISM score drops below the 65-point "Cooling Zone," ensuring you do not re-enter during a distribution phase.
The ALMA Advantage (Arnaud Legoux Moving Average)
To provide the most responsive signal line possible, we utilize the ALMA rather than traditional EMAs.
Gaussian Weighting: The ALMA applies weights based on a Normal Distribution, allowing the signal line to "hug" the 10-pillar composite score with significantly less lag than a standard moving average.
Calibrated Response: PRISM is tuned with a 0.85 Offset and Sigma of 6 , specifically optimized to catch momentum rollovers at the daily macro level.
The 10 Data Pillars: A 360-Degree Market Analysis
Every pillar represents a different vector of the Bitcoin economy, calculated twice and blended based on your settings:
1. BEAM (Cycle Mean): Tracks price deviation from the 1400-day baseline; a proxy for the Bitcoin Power Law .
2. MVRV Z-Score (Network Profitability): Measures the "Unrealized Profit" across the network to find profit-taking extremes.
3. Metcalfe Utility (Active Addresses): Ensures price growth is supported by actual network usage utility.
4. HODL-Wave Distribution (RHODL): Monitors the transfer of supply from "Smart Money" HODLers to new retail speculators.
5. AXIS Momentum (Dual-Speed RoC): Synthesizes dual-speed rates of change to filter out noise and find structural trend shifts.
6. Mayer Premium (Institutional Baseline): Measures extension from the 200-day institutional cost-basis.
7. Institutional SSR (Liquidity Check): Compares BTC market cap to the total supply of CRYPTOCAP:USDT , CRYPTOCAP:USDC , FWB:DAI , and CRYPTOCAP:PYUSD to verify buying power.
8. Money Flow (CMF Proxy): Volume-weighted tracking of accumulation vs. quiet institutional distribution.
9. ETF Absorption Intensity ($IBIT/ CBOE:FBTC ): A modern pillar tracking Wall Street demand relative to total market volume—essential for the 2026 regime.
10. Macro RSI (Cycle Saturation): High-timeframe relative strength monitoring for absolute velocity exhaustion.
User Inputs & Technical Configuration
To provide maximum flexibility for different trading styles, PRISM allows for some customization of its core engines:
Model Blend (0.0 - 1.0): The master slider for the Consensus Engine. Set to 0.0 for a purely historical "Classical" view, 1.0 for a purely statistical "Adaptive" view, or 0.6 for the recommended professional consensus.
Heat Lookback (Days): The window used for the Saturation Dots. A higher number (e.g., 35) requires a longer period of overheating before a signal triggers, filtering out short-term "fake-outs."
Min Bars for Saturation (Density): The number of "Scorched" bars required within the lookback to trigger the Red Dots. Setting this to 20 (out of /30 (66% density)) provides a high-conviction signal for cycle tops.
Pro Lookback (Days): The period used by the Adaptive Model to calculate its rolling mean and standard deviation. 365 days is the standard for macro analysis.
ALMA Smoothing: Adjusts the "Signal Line" (Orange). We use the Arnaud Legoux Moving Average . The lookback window can be adjusted in this field.
PRISM Dashboard
The bottom-right dashboard provides a real-time "Heartbeat" of the Bitcoin network:
Score: The final aggregate value of all 10 pillars (0–100). This is the "Mood" of the market.
Heat Density: A live counter (e.g., 15 / 30) showing how many days in the current window have been "Scorched."
Days to Exit: A dynamic countdown. It tells you exactly how many more "Hot" days are required before the Saturation Dots begin to print.
Data Status: A vital monitoring row. If a ticker like NASDAQ:IBIT or $MVRV becomes stale (no updates in 5 days) or is missing from your exchange, it will flag the specific ticker in Red to ensure you never trade on broken data.
Best Practices for Use
Timeframe: This indicator is strictly designed for the 1D (Daily) Chart . Using it on lower timeframes (1H, 4H) will result in "noisy" data and is not recommended for macro cycle detection.
The "Double Red" Confirmation: The highest probability exits occur when the Red Shading (Glow) and the Red Dots (Saturation) appear simultaneously. This confirms that both momentum has rolled over and liquidity is exhausted.
Data Integrity: Always check the Data Status in the dashboard. If you see a "STALE" or "MISSING" tag, the score may be skewed due to an external provider lag.
Disclaimer: Past performance is not indicative of future results. Trading Bitcoin involves significant risk. This script is for research and educational purposes and does not constitute financial advice.
Indicator
Indicator
R2D2 Buy-Sell Indicator v1.5BSI Premium - Advanced Trend, Zone & Momentum System
Summary: A highly customizable, all-in-one momentum and trend indicator. BSI Premium features 6 unique trend states, high-conviction "Early Buy" signals, dynamically shaded trade zones, and a powerful multi-condition alert engine for automated scanning.
Description:
Overview
Welcome to the BSI Premium (Buy Sell Indicator). This script is designed to act as a complete, standalone trading system or a powerful confluence tool alongside your existing strategy. By combining smoothed momentum oscillators, dynamic Bollinger Band clouds, and strict zero-line threshold logic, BSI Premium cuts through market noise to give you clear, actionable insights into short-term trends.
Whether you are looking for lower-risk entries, managing active positions, or hunting for high-reward reversal setups, BSI Premium visually guides you through every stage of the market cycle.
🔥 Key Features
1. The 6-State Trend Engine
Instead of simple red and green, BSI Premium analyzes momentum and signal crossovers to define 6 specific micro-trends, visually plotted directly on the oscillator line:
Bright Green Dots: Trend Bullish (Momentum is accelerating in the Buy Zone).
Dark Green Dots: Fading Bull (In the Buy Zone, but losing strength).
Yellow Dots: Early Buy Setup (Momentum is improving below the zero line).
Red Dots: Trend Bearish (Momentum is falling in the Warning Zone).
Dark Red Dots: Improving Bear (In the Warning Zone, but things are getting better).
Grey Dots: Neutral (No clear short-term trend).
2. Precision Action Signals
Early Buy (Purple Bubble): Triggers the first day conditions are met below the zero line. This is designed for high-conviction stocks and offers a higher risk/reward entry.
Standard Buy (White Bubble): Triggers when conditions are met above the zero line, indicating a lower-risk entry point.
Sell (Orange Bubble): Shows possible times to take profits or tighten stop losses.
3. Visual Trade Zones & Bollinger Clouds
The chart background automatically shades Green (Buy Zones) and Red (Warning Zones) only when momentum strictly agrees with the signal line. Transitional periods are left unshaded (black), keeping your chart clean during chop. Furthermore, dynamic Bollinger Band Clouds wrap the oscillator, helping you visualize overextended momentum or squeeze conditions.
4. Ultimate Customization (14 Inputs)
Every asset breathes differently. BSI Premium allows you to fully customize the mathematical core of the indicator. You can individually change the Fast, Slow, and Signal moving average types (choose between SMA, EMA, WMA, HullMA, and Wilders RMA), adjust lengths, and tweak Bollinger Band multipliers to fit your exact trading style.
🔔 The Multi-Condition Alert Engine (Scanner Ready)
A powerful, unique feature of BSI Premium is its built-in alert engine. You can easily create automated Trade Alerts for any symbol, on any timeframe, without writing code.
Using PulseWire's alert menu, you can set up pop-ups, emails, or SMS notifications for 7 distinct conditions, complete with dynamic ticker and price data:
Early Buy Signals
Standard Buy Signals
Sell Signals
Entering the Green Buy Zone
Entering the Red Warning Zone
Momentum crossing Above the Cloud
Momentum crossing Below the Cloud
📖 How to Trade with BSI Premium
"In The Red, You’re Dead": The general rule of thumb is to avoid buying or adding to positions while in the Red Warning Zone. Most standard buy signals happen outside of this zone (with exceptions for momentum squeezes and deep reversals).
Zone Management: Use the green shaded areas to actively look for long entries. Conversely, use the red zones to tighten stops or consider closing out positions.
The "Early" Advantage: Use the Early Buy signal to enter high-conviction stocks at the bottom of a cycle for maximum risk/reward, scaling into the rest of your position when the Standard Buy triggers.
Confluence: BSI Premium works beautifully by itself, but it can also be paired with volume oscillators or broader market indicators to confirm entries.
Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always practice proper risk management and backtest indicators before using them with real capital. Indicator
Strategy
SupOsc + SSL + Willy SignalsWhat It Does
This is a confluence signal indicator that combines three separate technical indicators and only fires a buy or sell signal when all three agree simultaneously. The idea is to reduce false signals by requiring multiple independent conditions to align before triggering an entry. It plots simple B (buy) and S (sell) labels directly on your chart.
The Three Indicators
1. SuperTrend Oscillator (SupOsc)
A normalized oscillator built from a SuperTrend calculation. Rather than plotting the SuperTrend line itself, it measures how far price is from the SuperTrend bands and converts that into an oscillator value between -1 and +1. A smoothed EMA histogram runs underneath it. For signals, it watches for the oscillator crossing the -0.50 level upward (buy) or crossing the +0.50 level downward (sell). Think of it as a momentum/trend confirmation filter.
2. SSL Channel
A simple but effective trend direction tool that uses SMAs of the highs and lows to determine whether price is in a bullish or bearish regime. When the upper SSL line is above the lower line, it's bullish. When below, it's bearish. The signal requires SSL to be confirming the same direction as the SupOsc before anything fires.
3. Williams %R
A momentum oscillator that measures where price closed relative to its recent high-low range, on a scale of 0 to -100. The indicator checks the previous candle's Williams %R reading — requiring it to have been in oversold territory (below -80) for buys, or overbought territory (above -20) for sells. This acts as a pullback/exhaustion filter, helping you buy dips and sell rips rather than chasing.
Does It Repaint?
Largely no, but with one caveat to be aware of.
The SupOsc and Williams %R components are calculated purely on current timeframe bars using standard closed-bar data — no repainting there.
The SSL component uses request.security() with lookahead=barmerge.lookahead_off, which is the correct, repaint-safe setting. However, if you set the SSL Timeframe to a higher timeframe than your chart, the SSL values will only update when that higher timeframe bar closes — meaning mid-bar the value reflects the previous completed HTF bar, which is standard and expected behavior, not true repainting.
The Williams %R check also looks at wR (the previous bar's value), which is already a closed bar — safe.
Bottom line: Signals that appear on a closed bar will not disappear or move. Signals on the current live bar could technically shift if conditions change before the bar closes, which is true of virtually any indicator.
Personally I find it works best for confirmations when combined with the CCI as seen in the image below.
Indicator
Market Pressure Dashboard### **Market Pressure Dashboard (MPD)** 📊
**Overview**
The **Market Pressure Dashboard** is a professional-grade sentiment and momentum analysis tool designed to visualize the hidden forces behind price action. By combining volume-weighted cumulative delta (CVD) with normalized momentum and volatility regime filtering, the MPD provides a "Composite Score" that reveals whether market pressure is bullish, bearish, or exhausted.
Unlike standard oscillators, the MPD uses `ta.percentrank` normalization, ensuring that values are always relative to recent market history. This makes it self-calibrating across any asset or timeframe.
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**How It Works** ⚙️
1. **Composite Calculation**: The indicator blends two core metrics—Normalized CVD and Normalized Momentum—into a single **Composite Score**. This score filters out noise and highlights high-probability trend windows.
2. **Cumulative Volume Delta (CVD)**: We calculate raw delta as a mix of price action (body/wick ratio) and relative volume. This is smoothed via EMA and normalized to a ±100 scale.
3. **Momentum**: Calculated as the Rate of Change (RoC) of the normalized CVD. It identifies when market pressure is accelerating or decelerating.
4. **Divergence Detection**: The script features a **Dynamic Disagreement Filter**. It identifies "Divergence" when CVD and Momentum move in opposite directions, but only if that disagreement is statistically significant compared to recent history.
5. **Volatility Regime**: Uses ATR Percentile to identify "Low Vol" (choppy) and "High Vol" (blow-off) regimes. Signals are visually suppressed during these periods to avoid fakeouts.
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**Visual Elements** 🎨
• **Main Histogram (Columns)**: Represents Normalized CVD. Bright colors indicate strong pressure; faded colors indicate volatility suppression.
• **Secondary Histogram (Thin Bars)**: Represents Momentum. Used to spot acceleration before it shows up in price.
• **Composite Line (White/Bright)**: The master trend signal. It brightens when it agrees with the underlying **Trend Bias**.
• **Trend Bias Line (Slow EMA)**: Provides the "Big Picture" direction.
• **ATR Area Histogram**: A subordinate orange area at the bottom showing current volatility percentile (±25 = extreme).
• **Divergence Dots & Zones**: Yellow circles and background shading highlight areas where CVD and Momentum are out of sync.
• **Dashboard Table**: A floating UI (positionable in any corner) showing real-time values for CVD, Mom, Composite, and Volatility State.
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**How to Use** 🚀
• **Trend Following**: Look for the Composite Line to cross the Zero Line in agreement with the Trend Bias.
• **Mean Reversion**: Watch for Divergence Dots (Yellow) when the Composite Score is in extreme territory (±75). This often precedes a trend exhaustion.
• **Breakout Validation**: A valid breakout should be accompanied by a spike in both CVD and Momentum histograms. If price breaks out but CVD stays flat, it's likely a trap.
• **Volatility Filter**: Avoid taking new signals when the background turns **Blue (Suppressed)**. This indicates volatility is either too low for follow-through or too high for safe stops.
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**Inputs** 🛠️
• **CVD/Mom Weights**: Adjust how much "Speed" (Momentum) vs. "Force" (CVD) influences the Composite Score.
• **Normalization Lookback**: Default is 100. Higher values make the indicator more stable; lower values make it more reactive.
• **Divergence Filter**: Minimum absolute value for divergence dots to appear (default: 10). Filters out minor disagreements.
• **Table Position**: Move the dashboard UI to any corner (Top-Left, Top-Right, Bottom-Left, Bottom-Right).
• **Volume Opacity**: Control the transparency of volume histograms for better visual layering.
• **Volatility Suppression**: Enable/disable the ATR-based background colouring.
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**Best Practices** 💡
• **Timeframes**: Works on any timeframe, but performs best on 15m–4H for swing trading and 1H–D for position trading.
• **Asset Classes**: Excellent for forex, crypto, and futures. For stocks, ensure "Use Volume" is enabled in chart settings.
• **Combination**: Pair with Smart Money Concepts (ICT/SMC) for optimal entry timing. The MPD excels at confirming Order Block breakouts.
• **Divergence is King**: The most reliable signals occur when Divergence Dots appear at ±75 Composite extremes—this is where trends exhaust.
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**Credits & License**
Created by Tonsil. Free to use and modify. If you republish, please credit the original work. Indicator
Indicator
Financial Repression OscillatorThe Financial Repression Oscillator is a macro-regime indicator designed to help visualize whether current conditions are more consistent with a restrictive real-rate environment or a financial-repression-like environment.
It combines several public FRED macroeconomic series into a single bounded oscillator from 0 to 100. The goal is not to generate trade signals, but to provide a compact way to monitor real rates, inflation pressure, debt burden, and Federal Reserve balance-sheet conditions together.
Why this can be useful
Macro conditions can change the meaning of “safe” assets.
When real rates are positive, cash-like instruments and short-duration fixed income may offer meaningful real returns. When real rates are negative or falling while inflation and debt pressure remain elevated, cash and nominal fixed-income assets may lose purchasing power in real terms.
This indicator is intended to make those regime conditions easier to monitor in one place.
General interpretation
0-25 Restrictive / not repressive
25-40 Mildly restrictive
40-60 Neutral / mixed
60-75 Repression-like
75-100 Strongly repression-like
These zones are intended as a framework for macro context, not as automatic buy or sell signals.
What the indicator tracks
The oscillator uses six components:
1. 10-Year Real Yield
Series: FRED:DFII10
This is the 10-year Treasury Inflation-Protected Securities real yield. It is used as a market-based measure of long-term real interest rates.
Higher positive real yields generally suggest a more restrictive real-rate environment. Lower or negative real yields are more consistent with financial-repression-like conditions.
2. 3-Month Real Rate
Series: FRED:DTB3 minus CPI YoY
This compares the 3-month Treasury bill yield to year-over-year CPI inflation.
It helps show whether short-term cash-like instruments are providing a positive or negative real return relative to inflation.
3. Real Fed Funds Rate
Series: FRED:FEDFUNDS minus CPI YoY
This compares the effective federal funds rate to year-over-year CPI inflation.
It provides a simple estimate of whether short-term monetary policy is restrictive or accommodative after inflation.
4. CPI Inflation
Series: FRED:CPIAUCSL
Inflation is included because financial repression is usually most relevant when inflation is elevated relative to interest rates.
The script calculates CPI year-over-year inside the monthly data request so that the calculation remains consistent when the indicator is viewed on daily, weekly, or monthly charts.
5. Federal Debt to GDP
Series: FRED:GFDEGDQ188S
Debt to GDP is included as a structural pressure variable.
High debt levels do not prove that financial repression is occurring, but they may increase the policy incentive to maintain lower real borrowing costs over time.
6. Federal Reserve Total Assets
Series: FRED:WALCL
Federal Reserve total assets are used as a broad proxy for the size of the central bank’s balance sheet.
A larger balance sheet may indicate a greater central-bank footprint in financial markets, though it should not be interpreted by itself as proof of financial repression.
How the scoring works
The indicator uses a hybrid scoring model.
Each component is scored using two methods:
Absolute threshold scoring
Absolute thresholds are used so that the oscillator does not label an environment as strongly repressive simply because a value is low relative to recent history.
For example, a positive real rate should not automatically score as maximum financial repression just because it has declined from a recent high.
Percentile pressure scoring
A smaller percentile component compares each series to its own recent history over a 120-month window.
This helps the oscillator respond when conditions are deteriorating or improving relative to the recent macro regime.
Weighted blend
The real-rate components receive the largest weights because suppressed real yields are central to the concept of financial repression.
The debt and Federal Reserve asset components are included as structural context, but they are not intended to dominate the reading by themselves.
How to use it
This indicator is best used as a macro context tool on weekly or monthly charts.
Possible uses include:
Monitoring whether real-rate conditions are becoming more or less restrictive
Comparing current macro conditions to prior regimes
Adding context to cash, bond, equity, commodity, gold, or Bitcoin allocation decisions
Watching for transitions between cash-friendly and negative-real-rate environments
Supplementing other macro tools such as yield curves, credit spreads, liquidity indicators, valuation metrics, and market breadth
Important limitations
This indicator is not a trading system.
It does not issue buy or sell signals, and it does not attempt to predict short-term market direction. The underlying data comes from FRED and updates at different frequencies. Some components update daily, while others update monthly or quarterly, and macroeconomic data may be revised.
The oscillator should be interpreted as a broad macro-regime estimate, not as a precise timing model.
A high debt score or a large Federal Reserve balance sheet score does not, by itself, mean financial repression is occurring. The most important readings come from the combination of real yields, inflation, short real rates, and structural debt pressure.
Practical reading
When the oscillator is low, real-rate conditions are generally more restrictive and cash-like assets may be more competitive in real terms.
When the oscillator rises, conditions may be shifting toward a more inflationary or repression-like environment, especially if real yields are falling while inflation and debt pressure remain elevated.
The most meaningful signals are usually changes in regime over time rather than any single daily reading. Indicator
Crypto Confirmation Engine - Auto Detect CoinFull Description:
This indicator provides a multi-factor market confirmation system designed to evaluate whether a trading setup is aligned with the broader crypto market.
Instead of generating signals, it focuses on context, strength, and confirmation.
🔍 What it analyzes:
Relative strength of the coin vs BTC and ETH
Market direction using TOTAL, TOTAL2, and OTHERS
Risk sentiment through USDT Dominance (USDT.D)
Internal trend using EMA structure and RSI
🧠 How it works:
The script calculates two independent scores:
Long Score
Short Score
Then derives a final market bias:
🟢 LONG BIAS → strong bullish alignment
🔴 SHORT BIAS → strong bearish alignment
⚪ NEUTRAL / WAIT → mixed or weak conditions
All outputs are visually simplified into a clean, transparent table.
⚙️ Key Features:
Auto-detects the active chart symbol
Fully adapts to the current timeframe
Multi-market confirmation (BTC, ETH, TOTAL2, USDT.D)
Soft UI for distraction-free analysis
Designed for decision support, not signal chasing
📌 Best Use Cases:
Confirming trade setups before entry
Avoiding trades during conflicting market conditions
Evaluating altcoin strength vs the market
Filtering out low-probability trades
⚠️ Disclaimer:
This tool does not provide trading signals or financial advice.
It is intended to assist traders in understanding market alignment and should always be used alongside proper risk management and personal analysis. Indicator
Adaptive Sharpe Ratio (Robust & Regime-Aware)Adaptive Sharpe Ratio (Robust & Regime-Aware) — ASR+
ASR+ (Adaptive Sharpe Ratio) on a daily chart, highlighting regime shifts and dynamically adjusted risk-aware performance.
WHAT IS ASR+
ASR+ (Adaptive Sharpe Ratio) is an enhanced version of the traditional Sharpe Ratio designed to remain statistically reliable in real market conditions.
It improves on the standard model by correcting for autocorrelation, fat tails, and regime-dependent volatility—factors that routinely distort conventional Sharpe readings.
The result is a more stable, realistic measure of risk-adjusted performance that adapts across timeframes, asset classes, and market environments.
WHY THIS MATTERS
The standard Sharpe Ratio assumes:
Stable volatility
Independent returns
Normally distributed returns
Real markets violate all of these assumptions.
Result: Sharpe can become inflated, unstable, and misleading—often underestimating risk, especially on lower timeframes.
ASR+ is designed to overcome these shortcomings.
WHAT “ROBUST” MEANS
ASR+ is built to resist common distortions:
Outliers & fat tails → adjusted
Skewed returns → penalized
Autocorrelation → corrected (HAC / Newey–West)
Small samples → estimation bias reduced
Result: more stable and realistic Sharpe values.
WHAT “REGIME-AWARE” MEANS
Markets change — volatility and behavior shift.
ASR+ adapts dynamically:
High volatility → stronger risk penalty
Calm markets → normalized evaluation
Regime shifts → reflected in real time
Result: avoids false confidence during risky conditions.
─────────────────────────────────────────
WHAT MAKES ASR+ DIFFERENT
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🔹 HAC Autocorrelation Correction (Newey-West)
Uses a 4-lag Bartlett kernel to correct for serial correlation in returns. When returns are trending or mean-reverting, standard volatility estimates are biased. ASR+ adjusts variance to prevent Sharpe inflation during momentum regimes.
🔹 Cornish-Fisher Tail Adjustment
Incorporates skewness and excess kurtosis into the risk estimate. Markets with fat tails or negative skew carry more downside risk than standard deviation alone captures. This adjustment penalizes asymmetric or heavy-tailed return distributions at the 95% confidence level.
🔹 Volatility Regime Penalty
Detects when current volatility is elevated relative to its historical average and applies a dynamic penalty. ASR+ becomes more conservative exactly when standard Sharpe is most likely to mislead.
🔹 Small-Sample Uncertainty Correction
Applies a bias correction to the mean return estimate, accounting for statistical uncertainty from limited observations. Shorter lookbacks carry more estimation error, which ASR+ reflects.
🔹 Adaptive Risk Adjustment
All adjustments — tail risk, volatility regime, autocorrelation, and estimation uncertainty — are combined through an interaction-aware framework. This prevents double-counting while allowing interacting risk factors to generate appropriately compounded penalties. The total adjustment is capped to avoid over-penalization.
🔹 Multi-Asset, Multi-Timeframe Scaling
Automatically detects asset type (crypto, equities, forex, futures) and timeframe (seconds through monthly) and applies appropriate annualization.
Crypto → 365-day, 24-hour markets
Equities → 252-day, 6.5-hour sessions
No manual configuration required.
🔹 Extreme Value Moderation
During periods of high volatility or reduced estimation reliability, ASR+ moderates extreme Sharpe values in both directions. Positive readings may be reduced, while negative readings may move closer to zero, reflecting lower statistical confidence rather than a change in underlying performance.
🔹 Logarithmic Returns
ASR+ uses logarithmic (log) returns instead of arithmetic returns. Log returns are time-additive and more statistically consistent across timeframes, improving the stability and comparability of risk-adjusted performance, particularly over longer horizons and in the presence of compounding.
ADAPTIVE VS STANDARD SHARPE
Toggle between:
Standard Sharpe → baseline calculation (thinner line)
ASR+ → adjusted, real-world version (thicker line)
Use this to:
Detect inflated Sharpe values
Reveal hidden risk
Validate strategy robustness
─────────────────────────────────────────
REGIME CLASSIFICATION
─────────────────────────────────────────
Light theme view for clarity and accessibility. The same regime classification logic is applied across themes.
ASR+ colors both the plotted line and background for instant interpretation:
🔴 Red → Below 0 — Negative risk-adjusted return
⚫ Gray → 0 to 1 — Subpar performance
🟢 Green → 1 to 2 — Good performance
💚 Lime → Above 2 — Exceptional performance
─────────────────────────────────────────
KEY INPUTS & SETTINGS
─────────────────────────────────────────
→ Lookback Period
Minimum: 50 bars (Daily & Intraday), 36 (Weekly), 24 (Monthly)
Recommended: 63 (Daily), 100 (4H), 252 (1H), 500 (30M)
For high-volatility assets (e.g., growth stocks, crypto), longer lookbacks are recommended to reduce sensitivity to short-term trends
Short lookbacks during strong trending conditions can produce elevated readings that reflect momentum rather than sustainable risk-adjusted performance
→ Risk-Free Rate
Annualized (default 4.5%), adjustable to reflect prevailing rates
→ Show Adaptive vs Standard Sharpe
Plot both to visualize adjustment magnitude
→ EMA Smoother
Optional smoothing to reduce noise
→ Background Regime Colors
Fully customizable
─────────────────────────────────────────
WHO THIS IS FOR
─────────────────────────────────────────
→ Quantitative traders evaluating strategies
→ Multi-asset traders needing consistent metrics
→ Risk-conscious traders focused on efficiency, not just returns
→ Systematic traders monitoring regime shifts in real time
IMPORTANT
ASR+ is not a buy/sell signal.
It measures the quality of returns to support:
Strategy evaluation
Risk control
Position sizing
All calculations are based on confirmed historical data and do not rely on future values.
─────────────────────────────────────────
Built with statistical rigor for traders who demand more accurate evaluation tools.
─────────────────────────────────────────
Indicator
Indicator
Dynamic Clean RSI Divergence (Regular & Hidden)Most divergence indicators on PulseWire clutter your screen by leaving every historical divergence line on the chart. This indicator is specifically designed for traders who prefer a minimalist and clean workspace. The Dynamic Clean RSI Divergence indicator scans the market dynamically and plots only the most recent valid divergences on your chart. Once a new divergence is confirmed, the old one is automatically removed, keeping your focus purely on the current price action.
It effectively detects both Regular and Hidden (Irregular) divergences using Pivot High/Low points and works flawlessly across all timeframes.
Key Features
Zero Chart Clutter: Only the last confirmed bullish and bearish divergence lines are kept on the screen.
Regular & Hidden Divergences: Scans for trend-reversal (regular) and trend-continuation (hidden) divergences simultaneously.
Visual Clarity: Uses distinct line styles and labels to instantly identify the type of divergence:
Bull (Solid Green Line): Regular Bullish Divergence
Bear (Solid Red Line): Regular Bearish Divergence
H-Bull (Dashed Green Line): Hidden Bullish Divergence
H-Bear (Dashed Red Line): Hidden Bearish Divergence
Fully Customizable: You can adjust the RSI Length, RSI Moving Average Length, and the Pivot Lookback (Left/Right bars) to fine-tune the sensitivity according to your trading strategy.
How to Set It Up (Important)
Due to PulseWire’s standard limitations, a single indicator script cannot dynamically draw lines on both the main price chart and a separate lower oscillator pane at the same time. To achieve the perfect visual setup where divergences are connected on both the price action and the RSI oscillator, you need to apply the indicator twice.
Follow these exact steps:
Step 1: Apply to the Main Chart (Price Action)
Add the indicator to your chart.
By default, the settings are configured for the main chart. It will automatically draw the divergence lines connecting the highs and lows of the candlesticks.
Step 2: Apply to the Lower Pane (RSI View)
Add the exact same indicator to your chart a second time. It will temporarily overlay on top of your price chart.
Open the Settings of this second indicator.
Under the Inputs tab, find the "Çizim Yeri" (Drawing Location) setting and change it from "Grafik (Fiyat)" to "RSI Alt Penceresi".
Now, hover your mouse over the name of this second indicator in the top-left corner of your chart.
Click on the Three Dots (...) for the "More" menu.
Hover over "Move to" and select "New pane below".
Result: You will now have a beautifully synchronized setup with a fully styled RSI (Purple line, Yellow MA, and shaded 30-70 background) in the bottom pane, and divergence lines perfectly mirroring each other on both the price and the RSI! Indicator
Indicator
Advanced MTF RSI, Stochastic RSI & Trend DashboardAre you tired of constantly switching between timeframes to check market momentum and trend direction? The Advanced MTF RSI, Stochastic RSI & Trend Dashboard brings all the critical data you need into a single, fully customizable, and highly visual table on your chart.
Designed for day traders, swing traders, and scalpers, this indicator provides a macro and micro view of the market at a glance.
🔥 Key Features:
Multi-Timeframe (MTF) Power: Monitor 10 different timeframes simultaneously (from 1m up to 1M). You can toggle each timeframe on or off depending on your trading style.
Real-Time Trend Detection: Instantly see if the market is "Bull" or "Bear" across different timeframes based on the EMA 50.
Combined Momentum Metrics: Displays standard RSI alongside Stochastic RSI (both %K and %D lines) independently.
Dynamic Visual Alerts: The table background automatically changes color based on market conditions:
Overbought Zones: Turns Red (RSI ≥ 70, SRSI ≥ 80).
Oversold Zones: Turns Green (RSI ≤ 30, SRSI ≤ 20).
Trend Status: Green for Bull (Price > EMA 50), Red for Bear (Price < EMA 50).
Ultimate Customization:
Adjust the table's position (Top Right, Bottom Left, etc.) and text size to fit your screen perfectly.
Turn specific rows (Trend, RSI, SRSI K, SRSI D) on or off to keep your chart clean.
Fully customizable colors for headers, text, and conditional backgrounds.
Independent length and source settings for both RSI and Stochastic RSI.
💡 How to Use:
Use the Dashboard to find confluence. For example, if you are looking for a long entry, you might wait for the higher timeframes (4h, 1d) to show a "Bull" trend, while looking for the lower timeframes (5m, 15m) to hit the oversold (Green) levels on RSI/SRSI for an optimal entry point.
Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Indicator
ADX Flaeche (TIG)Here is a professional and concise description for your PulseWire script, written in English.
ADX Area (SMA) with Price Scale
This indicator provides a clean, visual representation of trend strength using the Average Directional Index (ADX). Unlike the standard Wilder’s smoothing, this version utilizes a Simple Moving Average (SMA) for the final ADX calculation, making it slightly more responsive to recent price changes while maintaining clarity.
How it works:
Trend Strength Visualization: The indicator plots the ADX as an area chart.
Dynamic Coloring: When the ADX rises above the user-defined threshold (default is 20), the area turns Blue, signaling a strengthening trend. When below the threshold, the area remains Gray, indicating a weak trend or sideways market.
Integrated Price Scale: Designed specifically to keep your workspace organized, the current ADX value is displayed clearly on the price scale (y-axis) for quick reference.
Key Features:
Customizable Length: Adjust the lookback period for the ADX calculation.
Adjustable Threshold: Define your own "trend vs. range" boundary (e.g., 20 or 25).
Visual Clarity: The shaded area allows you to see at a glance whether the market is gaining momentum or losing steam without cluttering your main price chart.
How to use:
Blue Area: Look for potential trend-following entries as the trend intensity increases.
Gray Area: Exercise caution or look for mean-reversion strategies during low-volatility periods.
Slope: A rising ADX indicates an accelerating trend (regardless of direction), while a falling ADX suggests a weakening trend.
Settings:
ADX Length: 14 (Default)
Trend Threshold: 20 (Default) Indicator
RSI + TSI Normalized v4 ============================================================================
RSI + TSI Normalized v4 — Script Overview
============================================================================
── English ─────────────────────────────────────────────────────────────────
PURPOSE
This indicator unifies RSI and TSI (True Strength Index) into a single
oscillator pane by normalizing both to a common ±50 scale centered on zero.
It then derives a weighted composite line from four components (RSI, RSI-MA,
TSI, TSI Signal) and draws an adaptive linear regression channel on that
composite — similar to the Adaptive Trend Finder concept, but applied to
momentum space rather than price.
CORE COMPONENTS
1. RSI (Normalized) — standard RSI shifted so that 50 → 0
2. RSI-MA (EMA of RSI) — smoothed RSI, drawable with user-defined offset
3. TSI — double-smoothed momentum, normalized to ±50
4. TSI Signal (EMA of TSI)— smoothed TSI, drawable with user-defined offset
5. Composite Line — weighted average of (1)–(4), scaled by a
user coefficient (0.5–1.5)
6. Regression Channel — straight-line linear regression on the composite,
with ±σ deviation bands, R² color coding,
and optional history overlay
OFFSET SYSTEM
RSI-MA and TSI Signal can each be shifted left or right (±20 bars).
All crossover detections between offset lines and non-offset lines
(composite, RSI, TSI) use a "visual crossover" algorithm that compares
values at the same *drawing* X-coordinate, not the same bar_index.
This ensures markers appear exactly where lines visually intersect.
CROSSOVER SIGNALS
③ RSI × RSI-MA — basic RSI momentum cross (hidden by default)
④ RSI × TSI — inter-indicator cross (hidden by default)
TSI Signal × RSI — diamond markers (hidden by default)
RSIMA × TSI Signal — offset-aware cross (hidden by default)
⑤ RSIMA × Composite — triangle markers, shown by default
⑥ TSI Signal × Composite — circle markers, shown by default
REGRESSION CHANNEL
Computed via manual least-squares on the composite over a configurable
lookback period. Recalculated every N bars. R² is displayed as a label
at the channel's right edge. Channel color intensity adapts to R²:
high R² = vivid blue/teal (strong trend), low R² = gray (noisy).
Past channels are preserved as dotted gray lines for trend history.
DASHBOARD TABLE
Top-right table shows real-time values: RSI, RSI-MA, TSI, TSI Signal,
MA–Signal spread, offset settings, composite value, and R².
ALERTS
JSON-formatted alertconditions for all crossover types, ready for
webhook integration.
── 日本語 ──────────────────────────────────────────────────────────────────
目的
RSI と TSI（True Strength Index）を共通の ±50 スケールに正規化し、
1つのオシレーターペインに統合するインジケーター。
4つの構成要素（RSI, RSI-MA, TSI, TSI Signal）の加重平均から合成値を算出し、
その合成値に対して Adaptive Trend Finder 風の直線回帰チャネルを描画する。
価格ではなく「モメンタム空間」にチャネル分析を適用するのが特徴。
主要コンポーネント
1. RSI（正規化） — 標準RSIを50=0基準にシフト
2. RSI-MA（RSIのEMA） — 平滑化RSI。ユーザー指定のオフセットで左右シフト可能
3. TSI — 二重平滑化モメンタム。±50に正規化
4. TSI Signal（TSIのEMA）— 平滑化TSI。ユーザー指定のオフセットで左右シフト可能
5. 合成値ライン — (1)〜(4)の加重平均 × ユーザー係数（0.5〜1.5）
6. 回帰チャネル — 合成値に対する直線回帰。±σ偏差バンド、
R²に応じた色変化、過去チャネルの履歴表示
オフセットシステム
RSI-MA と TSI Signal はそれぞれ ±20本の描画シフトが可能。
オフセット付きラインと非オフセットライン（合成値等）のクロス判定は、
「描画上の同じX座標」でのY値を比較する方式を採用。
マーカーは視覚的な交差点に正確に表示される。
クロスシグナル
③ RSI × RSI-MA — RSIモメンタムの基本クロス（デフォルト非表示）
④ RSI × TSI — 異種指標間クロス（デフォルト非表示）
TSI Signal × RSI — ダイヤモンドマーカー（デフォルト非表示）
RSIMA × TSI Signal — オフセット対応クロス（デフォルト非表示）
⑤ RSIMA × 合成値 — 三角マーカー（デフォルト表示）
⑥ TSI Signal × 合成値 — 丸マーカー（デフォルト表示）
回帰チャネル
合成値に対して最小二乗法で傾き・切片を算出し、line.new()で直線描画。
N本ごとに再計算。R²をチャネル右端にラベル表示。
R²が高い=鮮やかな青/緑（明確なトレンド）、低い=灰色（ノイズ）。
過去チャネルは灰色ドット線で残り、トレンド推移を確認可能。
ダッシュボードテーブル
右上にリアルタイム値を表示: RSI, RSI-MA, TSI, TSI Signal,
MA-Signal差, オフセット設定, 合成値, R²。
アラート
全クロスタイプのJSON形式alertconditionを搭載。Webhook連携対応。
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