BTC Hashrate with smoothingBTC Hashrate with smoothing - thanks to the recent integration of IntoTheBlock data into Tradingview, we can now effortlessly show Hashrate data on our chart.
One popular use for Hashrate is to buy when the 30 day moving average crosses above the 60 day moving average, signifying that miner capitulation is over and recovery has started.
Definition
The Bitcoin hash rate is the number of times per second that computers on the Bitcoin network are hashing data to verify transactions and perform the encryption that secures the network. The hash rate is an indicator of how healthy the Bitcoin network is at any given time, and is driven primarily by difficulty mining and the number of miners. Generally, a high hash rate is considered a good thing.
More precisely, the Bitcoin hash rate is the number of times per second that computers on the Bitcoin network are hashing data to verify transactions and perform the encryption that secures the network.
Cerca negli script per "btc期权交割时间"
BTC GRID bot Visualisation. 31 steps/100USDT, simple adjustableBTC GRID bot Visualisation. 31 steps/100USDT, simple adjustable
(CRISIS) Aggregate BTC Volume V0.1Agreggate volume from 3 exchanges into one indicator.
Securities can be changed in settings -> inputs
BTC Price Prediction Model [Global PMI]V2🇺🇸 English Guide
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
💡 Unique Insight: PMI & The 4-Year Cycle
A key distinguishing feature of this model is the hypothesis that Bitcoin's famous "4-Year Halving Cycle" may be intrinsically linked to the Global Business Cycle (PMI), rather than just supply shocks.
Therefore, the model incorporates PMI as a valuation "Amplifier".
Note: Due to TradingView data limitations, US PMI is currently used as the proxy for the global cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
7. Support Us ❤️
If you find this indicator useful, please Boost 👍, Comment, and add it to your Favorites! Your support keeps us going.
🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
💡 独家洞察：PMI 与 4年周期
本模型的一个核心独特之处在于：我们认为比特币著名的“4年减半周期”背后的真正驱动力，可能与全球商业周期 (PMI) 高度同步，而不仅仅是供应减半。
因此，模型特别引入 PMI 作为估值的“放大器” (Amplifier)。
注：由于 TradingView 数据源限制，目前采用历史数据最详尽的美国 PMI 作为全球周期的代理指标。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
BTC Price Prediction Model [Global PMI]🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
🇺🇸 English Guide (英文说明)
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
BTC – LEVR: Leverage Efficiency & Volume RatioLEVR: Leverage Efficiency & Volume Ratio
Observation-only. Data: IntoTheBlock.
Overview
The Leverage Efficiency & Volume Ratio (LEVR) is a market structure oscillator designed to detect "Paper Bubbles" and "Organic Bottoms" by separating speculative greed from network utility. While most indicators analyze price action, LEVR analyzes market fragility. It operates on the thesis that Sustainable Rallies are driven by Spot/Network Activity, while Fragile Rallies are driven by Derivatives Leverage.
Synergy
How it works with VERI
LEVR is designed to be the tactical counterpart to the fundamental VERI Indicator (Valuation & Entity Ratio Index).
Use VERI for Strategy: To identify Value. (Is Bitcoin cheap? Are Whales buying?)
Use LEVR for Risk: To identify Structure. (Is the current price move real, or is it a leverage bubble about to pop?)
The "Perfect Setup"
The strongest buy signals occur when VERI is in the Accumulation Zone (Whales buying) AND LEVR is in the Organic Zone (Leverage is flushed out) (as it was the case in the Dec 2022 Bear Market Bottom).
Why LEVR is Unique
Standard indicators often fail to contextualize Open Interest:
vs. Raw Open Interest: Raw OI always trends up over time as the market grows. LEVR solves this by normalizing OI against Active Addresses. This reveals when leverage is outpacing actual adoption.
vs. ELR (Estimated Leverage Ratio): Classic ELR divides Open Interest by Exchange Reserves. However, Exchange Reserves are notoriously difficult to track accurately. LEVR uses Active Addresses (Network Utility) as a cleaner, more reliable denominator for network health.
Methodology
The Mathematics: The indicator calculates a normalized Z-Score ratio between two IntoTheBlock datasets:
The Numerator (Greed): Perpetual Open Interest. The total dollar value of all open futures contracts. This represents the "Gambling" capital.
The Denominator (Utility): Active Addresses. The number of unique addresses transacting on-chain. This represents the "Real" user base.
The Formula : LEVR = Z-Score ( Perpetual Open Interest / Active Addresses )
How to Interpret the Visuals
The line color changes dynamically to reflect the current risk regime:
🟥 Speculative Premium (Red Line > 2.0) :
Signal: "Leverage Bubble."
Context: Open Interest is rising significantly faster than User Growth. The rally is fueled by debt.
Risk: High probability of a "Long Squeeze" or liquidation cascade.
🟦 Organic Base (Blue Line < -1.5) :
Signal: "Spot Driven Market."
Context: Speculators have been flushed out, but active network usage remains high. The line turns Blue to signal a healthy opportunity zone.
Risk: Low. Historically marks robust bottoms where hands are strong.
🟧 Neutral (Orange Line) :
The market is in a transition phase between organic growth and speculation.
Settings & Inputs
Users can customize the sensitivity of the Z-Score to fit their trading style (in brackets their current standard value):
Lookback Period (365) : The rolling window used to establish the "Baseline." A 365-day window captures the yearly trend.
Signal Smoothing (7) : A short moving average to reduce daily data noise.
Bubble Zone Top/Bottom (3.0 / 2.0) : The thresholds for the Red Zone. Raising the "Top" value will only show the most extreme, generational leverage bubbles.
Organic Zone Top/Bottom (-1.5 / -2.5) : The thresholds for the Green Zone. Lowering these values requires a deeper "flush" to trigger a signal.
Optimization
This indicator is mathematically optimized for the Daily (1D) timeframe. Using it on lower timeframes may result in noise due to the daily resolution of on-chain data.
Important Note on Historical Data
Please be aware that aggregated global Perpetual Open Interest data only becomes reliable and widely available starting around 2020-2021.
Pre-2021: The indicator will show a flat line or empty values. This is not a bug; it reflects the lack of historical derivatives market data for that period.
2021-Present: The indicator functions fully as intended.
Credits
Concept inspired by the "Estimated Leverage Ratio" (ELR) popularised by CryptoQuant and analysts like Willy Woo. LEVR adapts this concept for TradingView by substituting Exchange Reserves with Network Activity for better reliability.
Disclaimer
This tool is for research purposes only. It visualizes market structure data and does not constitute financial advice.
Tags
bitcoin, btc, open interest, leverage, on-chain, intotheblock, risk, derivatives, levr, veri
BTC Macro Heatmap (Fed Cuts & Hikes)🔴 1. Red line – Fed Funds Rate (policy trend)
This line tells you what stage of the monetary cycle we’re in.
Rising red line = the Fed is hiking → liquidity is tightening → money leaves risk assets like BTC.
Flat = pause → markets start pricing in the next move (often sideways BTC).
Falling = easing / cutting → liquidity returns → bullish environment builds.
The rate of change matters more than the level. When the slope turns down, capital starts seeking yield again — BTC benefits first because it’s the most volatile asset.
💚 2. Dim green zones – detected cuts
These are data-based easing events pulled directly from FRED.
They show when the actual effective rate began moving down, not necessarily the exact meeting day.
Think of them as the Fed’s “foot off the brake” — that’s when risk markets begin responding.
🟩 3. Bright green lines – official FOMC cuts
These are the real policy shifts — the Fed formally changed direction.
After these appear, BTC historically transitions from accumulation → markup phase.
Look at 2020: the bright green lines came right before BTC’s full reversal.
You’re seeing the same thing now with the 2025 lines — early-stage liquidity return.
🟠 4. Orange line – DXY (US Dollar Index)
DXY is your “risk-off” gauge.
When DXY rises, global investors flock to dollars → BTC usually weakens.
When DXY peaks and starts dropping, it means risk appetite is coming back → BTC rallies.
BTC and DXY are inversely correlated about 70–80% of the time.
Watch for DXY lower highs after rate cuts — that’s your macro confirmation of a BTC-friendly environment.
🟦 5. Aqua line – BTC (normalized)
You’re not looking for the price itself here, but its shape relative to DXY and the Fed line.
When BTC curls up as the red line flattens and DXY rolls over → that’s historically the start of a major bull phase.
BTC tends to bottom before the first cut and explode once DXY decisively breaks down.
🧠 Putting it together
Here’s the rhythm this chart shows over and over:
Fed hikes (red line rising) → BTC weakens, DXY climbs.
Fed pauses (red line flat) → BTC stops falling, DXY tops.
Fed cuts (dim + bright green) → DXY turns down → BTC begins long recovery → bull cycle starts.
BTC / XAU Calculator/Hesaplayıcı
USER GUIDE
BTC/XAU Calculator is a table-based indicator that displays Bitcoin price, Gold price (XAU/USD), and the BTC/XAU ratio simultaneously. It pulls real-time market data and calculates values based on your manual inputs.
⸻
Features
• Automatically fetches live BTCUSD and XAUUSD prices.
• Supports two-way manual calculations:
• BTC price → Ratio calculation
• Ratio → BTC price calculation
• Clear table layout showing Market vs Calculated values.
• Compatible with Binance, OANDA, and all brokers.
⸻
1. Settings
Gold Price (XAU/USD)
• When “Use live XAU price” is enabled, the indicator uses real-time XAU/USD.
• If disabled, you can enter your own gold price manually.
⸻
2. Calculation Modes
A) Calculate BTC from Ratio
BTC = Ratio × Gold price
Example:
XAU = 4200
Ratio = 19.08
→ BTC = 4200 × 19.08 = 80,136 USD
⸻
B) Calculate Ratio from BTC
Ratio = BTC price ÷ Gold price
Example:
BTC = 90,000
XAU = 4250
→ Ratio = 90,000 / 4,250 = 21.18
3. Suggested Uses
• Evaluate BTC as cheap/expensive relative to gold
• BTC target projections based on gold
• Macro hedge and correlation analysis
• BTC/XAU ratio-based scenario modeling
⸻
Notes
• This indicator does not generate trading signals.
• It is intended for numerical comparison and scenario building only.
Source: The design and calculation logic of this indicator were created in collaboration with OpenAI’s ChatGPT model.
BTC vs US2000 – Ratio & Spread (BarDai v6 CLEAN)📌 How the Indicator Works
BTC vs US2000 — Ratio & Spread
The indicator shows:
who is stronger right now — crypto-risk (BTC) or equity-risk (US2000 / Russell-2000)
📈 Top Panel — RATIO + Risk Regime Signals
🎯 Ratio (cyan line)
Measures BTC’s relative strength versus US2000:
📈 Ratio rising → BTC outperforming → Risk-ON environment
📉 Ratio falling → BTC underperforming → Risk-OFF environment
📉 EMA (white line)
A smoothed benchmark.
➡ Key signal — when Ratio crosses the EMA
That marks a shift in the risk regime.
🟩🟥 Background Coloring (Risk Mode)
Condition Regime Meaning Trading Logic
Ratio above EMA 🟩 Risk-ON Capital flows into risk assets Favor BTC longs
Ratio below EMA 🟥 Risk-OFF Capital flows out of risk Prefer shorts / hedge / cash
🧭 SpreadNorm — Bottom Panel
🎯 SpreadNorm shows how strong the deviation is:
🟩 Above 0 → BTC risk premium
🟥 Below 0 → Equity-side risk premium (US2000 stronger)
It helps to:
✔ confirm regime signals
✔ filter false crossovers
✔ measure strength of risk move
(Yellow dots mark extreme deviations → mean-reversion potential)
📌 Trading Usage Guide
Scenario Interpretation Action
Ratio above EMA + SpreadNorm green Stable Risk-ON Look for BTC long entries
Ratio below EMA + SpreadNorm red Stable Risk-OFF Avoid aggressive longs
SpreadNorm extreme + yellow dot Reversal potential Take profit / wait for crossover
📌 Best used on 30–60m timeframes for intraday decision making.
🎁 Final Takeaway
The indicator tracks where risk-capital is flowing.
If BTC outperforms equities → we buy BTC.
If BTC underperforms → we don’t buy (or short it).
BTC vs US2000 – Correlation (BarDai)📉 Bottom Panel — BTC vs US2000 Correlation
This panel measures how synchronized BTC and US2000 are moving right now.
Correlation range: +1.00 … -1.00
Correlation Value Meaning Market Behavior
+0.5 to +1.0 Strong Positive Correlation BTC and US2000 move together (same direction)
0.0 to +0.5 Weak/Neutral Positive Similar direction but unstable
0.0 to -0.5 Weak Negative Early decoupling — BTC may lead
-0.5 to -1.0 Strong Negative Correlation BTC and US2000 move opposite ways — risk divergence
🧠 Why this is important?
Correlation shows whether the ratio movement is reliable.
✔ Valid Risk Signal
If:
Ratio = Risk-ON
AND Correlation is positive
→ BTC rising with equities → strong confirmation
→ You can trust the Risk-ON regime
⚠️ Risk Divergence (Decoupling)
If:
Ratio = Risk-ON
BUT Correlation drops into negative
→ BTC is pumping alone, not backed by global risk
→ Breakout is weaker / can fail
This often happens before trend reversals.
🟡 Yellow “Decoupling Dots”
These appear when correlation is low but volatility is high.
They indicate:
Market tension
Possible rotation of capital
Early warning of shift
➡ Good for catching reversals early, but never alone — must confirm with the Ratio crossover.
🔍 Practical Usage Summary
What you see Interpretation Strategy
Ratio above EMA + Correlation > 0 Global Risk-ON Favor BTC longs
Ratio below EMA + Correlation > 0 Global Risk-OFF Protective mode
Ratio > EMA but Correlation < 0 Fake Risk-ON Reduce risk, wait
Strong negative correlation Markets diverging Look for reversal signals
🎯 Main Message
Correlation tells you how trustworthy the risk regime is.
The ratio tells who leads
The correlation tells whether the move is real
Together → a powerful institutional macro signal 🔥
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.
