EPS and Sales Magic Indicator V2EPS and Sales Magic Indicator V2
EPS and Sales Magic Indicator V2
Short Title: EPS V2
Author: Trading_Tomm
Platform: TradingView (Pine Script v6)
License: Free for public use under fair usage guidelines
Overview
The EPS and Sales Magic Indicator V2 is a powerful stock fundamental visualization tool built specifically for TradingView users who wish to incorporate earnings intelligence directly onto their price chart. Designed and developed by Trading_Tomm, this upgraded version of the original 'EPS and Sales Magic Indicator' includes an enriched and more insightful presentation of company performance metrics — now with TTM EPS support, advanced color-coding, label sizing, and refined control options.
This indicator is tailored for retail traders, swing investors, and long-term fundamental analysts who need to view Quarter-over-Quarter (QoQ) earnings and revenue changes directly on the price chart without switching tabs or breaking focus.
What Does It Display?
The EPS and Sales Magic Indicator V2 intelligently detects quarterly financial updates and displays the following data points via labels:
1. EPS (Earnings Per Share) – Current Quarterly Value
This is the most recent Diluted EPS published by the company, fetched using TradingView’s request.financial() function.
Displayed in the format: EPS: ₹20.45
2. EPS QoQ Percentage Change
Shows the percentage change in EPS compared to the previous quarter.
Highlights improvement or decline using arrows (up for improvement, down for decline).
Displayed in the format: EPS: ₹20.45 (up 15.3 percent)
3. Sales (Revenue) – Current Quarterly Value
Fetches and displays Total Revenue of the company in ₹Crores for easier Indian-market readability.
Displayed in the format: Sales: ₹460Cr
4. Sales QoQ Percentage Change
Measures and presents the quarter-over-quarter percentage change in total revenue.
Uses arrows to indicate growth or contraction.
Displayed in the format: Sales: ₹460Cr (down 3.8 percent)
5. EPS TTM (Trailing Twelve Months)
You now get the TTM EPS — the sum of the last four quarterly EPS values.
This value provides a better long-term earnings snapshot compared to a single quarter.
Displayed in the format: TTM EPS: ₹78.12
All of these values are automatically calculated and displayed only on the bars where a new financial report is detected, keeping your chart clean and insightful.
Customization Features
This indicator is built with user control in mind, allowing you to personalize how and what you want to see:
Show EPS in Label: Enable or disable the display of EPS and EPS QoQ values.
Show Sales in Label: Toggle the visibility of revenue and sales change percentage.
Color Options for Label Themes: The label background color is automatically determined based on performance.
Green: Both EPS and Sales increased QoQ.
Red: Both decreased.
Orange: One increased and the other decreased.
Gray: Default color (if values are unavailable or mixed).
Label Text Size: Choose from Tiny, Small (default), or Normal.
Visual Design
Placement: The labels are positioned just below the candlesticks using yloc.belowbar, so they do not obstruct price action or interfere with technical indicators.
Anchor: Aligned precisely with the financial reporting bars to maintain clarity in historical comparisons.
Background Style: Clean, semi-transparent styling with soft text colors for comfortable viewing.
How It Works
The indicator relies on TradingView’s powerful request.financial() function to extract fiscal quarterly financials (FQ). Internally, it uses detection logic to identify fresh data updates by comparing current vs. previous values, arithmetic to compute QoQ percentage changes in EPS and Sales, logic to build formatted labels dynamically based on user selections, and conditional color and sizing logic to enhance interpretability.
Use Cases
For Long-Term Investors: Quickly identify if a company’s profitability and revenue are improving over time.
For Swing Traders: Combine recent earnings trends with price action to evaluate if post-result momentum has real backing.
For Technical and Fundamental Traders: Layer it with moving averages, RSI, or volume to create a hybrid analysis environment.
Limitations and Notes
Financial data is provided by TradingView’s financial API, and occasional missing values may occur for less-covered stocks.
This tool does not repaint but depends on the timing of the official financial updates.
All values are rounded and formatted to prioritize readability.
Works best on Daily or higher timeframes (weekly or monthly also supported).
License and Fair Use
This script is free to use and share under TradingView’s open-use guidelines. You may copy, fork, and build upon this indicator for personal or educational purposes, but commercial usage requires attribution to the author: Trading_Tomm.
Future Enhancements (Planned)
Addition of Net Profit (QoQ and TTM)
Inclusion of Operating Margin, Profit Margin, and Book Value
Option to switch between numeric and graphical display (table mode)
Alerts on extreme earnings deviation or sales slumps
Final Thoughts
The EPS and Sales Magic Indicator V2 represents a clean, visual, and smart way to monitor a company’s core performance from your chart screen. It helps you align fundamental strength with technical strategies and provides instant financial clarity, which is especially vital in today’s fast-moving markets.
Whether you’re preparing for an earnings season or scanning past performance to pick your next investment, this indicator saves time, enhances insights, and sharpens decisions.
Forecasting
Rolling Correlation (Forex)//@version=5
indicator("Rolling Correlation (Forex)", shorttitle="ρ-Corr", overlay = false)
// ── User inputs ────────────────────────────────────────────────────────────────
sym1 = input.symbol("FX_IDC:EURUSD", "First symbol") // Change if your broker uses another prefix
sym2 = input.symbol("FX_IDC:GBPUSD", "Second symbol")
len = input.int(20, "Look-back length", minval = 2)
// ── Pull closing prices from both symbols on the chart’s timeframe ────────────
p1 = request.security(sym1, timeframe.period, close,
barmerge.gaps_off, barmerge.lookahead_on)
p2 = request.security(sym2, timeframe.period, close,
barmerge.gaps_off, barmerge.lookahead_on)
// ── Convert to log-returns (removes price-level bias) ─────────────────────────
r1 = math.log(p1 / p1 )
r2 = math.log(p2 / p2 )
// ── Rolling Pearson correlation ───────────────────────────────────────────────
corr = ta.correlation(r1, r2, len)
// ── Plot ──────────────────────────────────────────────────────────────────────
plot(corr, title = "ρ", linewidth = 2)
hline( 1, "+1 (perfect)", color = color.green)
hline( 0, "0", color = color.gray)
hline(-1, "-1 (inverse)", color = color.red)
Yome US30 Kill Zones Pro📈 Yome US30 Kill Zones Pro — Precision Timing for US30 Traders
Take your US30 trading to the next level with Yome Kill Zones Pro, a powerful and easy-to-use indicator designed to help you identify high-probability trade zones, session highs/lows, liquidity sweeps, and bias direction — all tailored around the most strategic timeframes of the trading day.
🔍 What It Does:
• Plots key session high & low levels based on a user-defined time window (Kill Zone).
• Draws liquidity sweep levels when previous swing highs/lows are breached with momentum.
• Displays Kill Zone Bias (Bullish, Bearish, or Neutral) based on net price movement during the session.
• Shows Long-Term Bias using EMA + Open comparison from your selected timeframe.
• Automatically detects & extends swept levels to help you track areas where smart money may have entered.
• Table view of current bias for fast decision-making.
• Fully customizable visuals (colors, line styles, extension lengths).
🕒 Best Times to Use:
The two most profitable Kill Zone windows for US30 are:
• 12:00 UTC — London-New York overlap begins. Early volatility spike.
• 13:30 UTC — New York Stock Exchange open. High-impact reversal/continuation zones.
These times tend to produce the most meaningful market structure shifts and liquidity grabs.
📘 How to Use (Trading Strategy Guide):
1. Watch the Kill Zone High & Low Lines:
• These are drawn based on your selected session window.
• Price near the top = Sell zone.
• Price near the bottom = Buy zone.
2. Confirm the Bias:
• If Kill Zone Bias is Bullish, prioritize buy trades.
• If Bearish, favor shorts.
• Avoid entries when the bias is Neutral unless strong price action confirms.
3. Look for Sweeps:
• When the market sweeps a swing high/low (and meets momentum criteria), it can signal smart money manipulation.
• Use this as a confirmation trigger.
4. Confluence is Key:
• Best entries happen when price is near key Kill Zone levels + bias supports direction + sweep occurs.
5. Risk Management:
• All trades should be taken using a 3:1 Risk-to-Reward (RRR) model.
• Example: If risking 30 points, target 90 points minimum.
• Don’t overtrade — one high-quality setup per session is often enough.
✅ Ideal For:
• US30 (Dow Jones) intraday traders
• Smart money / liquidity-based traders
• New York & London session scalpers
• Traders who value structure, timing, and precision
📌 Pro Tip:
Combine Yome Kill Zones Pro with Yome 2BR Entry and watch how your win rate improves dramatically.
🔥 Whether you’re a seasoned trader or just starting out, this indicator helps you enter where institutions are likely active — not where the crowd chases price.
Add Yome Kill Zones Pro to your toolkit and trade US30 like a pro.
To access this code, kindly join our telegram group or DM me directly.
Potential Parabolic Candles
- Plot bullish candles meeting all parameters to designate the potential for a parabolic bullish continuation.
- Default candles have a white body with a green outline and wick(s), if present, so change to a darker color if using a light background/color theme.
- Indicator works on all timeframes, however, I believe it is more efficient fiscally if used on longer timeframes, i.e. daily, 4 hr, 2 hr, hourly, and 30 min.
- The PPC should be used along with resistance levels, trendlines, and/or order blocks, etc. as the price will struggle or may even be rejected by these structures. If they appear in close proximity to the identified candle, treat it as a false signal since the reward may not be worth the risk.
NEIROCTO Impulse Watcher (Alert Ready)
📡 Zazulya Radar — Full System
This indicator combines key elements for short-term trend identification and volume-driven impulse detection:
- EMA 9 and EMA 21 for trend phase analysis
- VWAP for intraday price equilibrium
- Bollinger Bands for volatility breakout zones
- RSI for identifying overbought/oversold moments
- Volume + SMA(20) for accumulation/distribution patterns
Perfect for scalping, grid trading and sniper entries in volatile markets.
NEIROCTO Impulse Watcher (Alert Ready)//@version=5
indicator("NEIROCTO Combo Watcher (Pump vs Dump)", overlay=true)
// === RSI и его производные ===
rsi = ta.rsi(close, 14)
rsi_sma = ta.sma(rsi, 5)
rsi_up = rsi > rsi_sma
rsi_down = rsi < rsi_sma
// === Волатильность ===
volatility = math.abs(close - close ) / close * 100
volatility_trigger = volatility > 3
// === Объёмы ===
volume_sma = ta.sma(volume, 20)
volume_up = volume > volume_sma
// === Условие пампа ===
pump_condition = rsi > 45 and rsi_up and volatility_trigger and volume_up
// === Условие отката ===
dump_condition = rsi < 40 and rsi_down and volatility_trigger and volume_up
// === Фон ===
bgcolor(pump_condition ? color.new(color.green, 85) : na)
bgcolor(dump_condition ? color.new(color.red, 85) : na)
// === Метки ===
plotshape(pump_condition, title="🚀 PUMP Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="🚀")
plotshape(dump_condition, title="⚠️ DUMP Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="⚠️")
// === Алерты ===
alertcondition(pump_condition, title="🚀 NEIROCTO: Возможен памп!", message="🚀 RSI ↑, Волатильность >3%, Объёмы высокие — возможен памп!")
alertcondition(dump_condition, title="⚠️ NEIROCTO: Возможен откат!", message="⚠️ RSI ↓, Волатильность >3%, объёмы растут — возможен откат!")
TPOC [cem_trades]This indicator displays the price level with the highest number of time-based price interactions within a session — also known as the Time Point of Control (TPOC). It helps traders visualize where the market has spent the most time, making it a key tool for identifying balanced areas and potential turning points. Includes customizable session settings, timezones, and RTH/ETH trading hours. More information at cem_trades.
M/D[cem_trades]This indicator marks the expected manipulation and distribution levels by statistically analysing the last 100 trading days. More information at cem_trades.
RSI Divergence StrategyScript identifies bullish and bearish divergences, hidden and regular. Accurate on all timeframes. There are several videos on trading with a divergence strategy, but the divergences are hard to spot.
These can be adjusted but chat gpt independently checked various token vitals and compared to the chart, and found the chart accurate with current settings.
lookback = input.int(40, title="Lookback Period for Divergence") (30-60)
minSwingDistPercent = input.float(1.5, title="Minimum Swing Distance (%)") (0.5-2.0)
minPriceMovePercent = input.float(0.5, title="Minimum Price Move from Last Swing (%)") (0.5-2.0)
Multiple Custom Sessions - Highs/LowsMultiple Custom Sessions - Highs/Lows
This indicator allows you to track and visualize the high and low price ranges for up to 4 customizable sessions on your chart.
🔹 Set your own session times and UTC offsets
🔹 Customize colors for high/low lines and the session’s background box
🔹 Toggle each session’s visibility independently
🔹 Automatically updates highs and lows as the session progresses
🔹 Alerts for when each session starts and ends
Ideal for opening range breakout strategies, session-based scalping, or tracking key market windows like London, New York, Asia sessions.
💡 Fully adjustable for any asset or timeframe.
Credit to the original work by Zeiierman — upgraded to handle multiple concurrent sessions in one clean script.
Enjoy and trade smart!
Deviation between Quantity and Price - Event Contract Quantitative strategy is a strategy developed based on trading volume and price behavior, mainly to capture the deviation between trading volume strength and price behavior in the short term, and set it as a unique fixed position of two K-lines. Therefore, this strategy is only applicable to event contract trading!!!
Note: The indicators and parameters of this strategy are specifically selected for the 5-minute cycle of ETH contracts, so they are not applicable to other varieties and cycles!
This strategy combines multiple technical indicators, quantitative analysis, and market trend filters to identify high probability trading opportunities and support both long and short trades.
Its core features include:
Quantitative analysis: Focus on the surge in trading volume, and confirm market momentum through indicators such as net trading volume (OBV) and cash flow (CMF).
Price behavior: Analyze the K-line pattern (such as long/short breaks) and its entity to full range ratio to ensure the reliability of price movements.
Trend filtering: Use exponential moving averages (EMA), average trend indices (ADX), and custom benchmark moving averages (Base MA) to confirm trend direction and strength.
External market environment: Introduce Bitcoin (BTC/USDT) trend data to align with broader market sentiment.
Risk management: Manage risks through controlling position size, trading direction, and cooling off periods after losses.
Performance tracking: Provide a detailed statistical panel to monitor transaction frequency, win rate, and continuous profit/loss records.
Those who need a strategy can contact me for authorization.
Initial balance - weeklyWeekly Initial Balance (IB) — Indicator Description
The Weekly Initial Balance (IB) is the price range (High–Low) established during the week’s first trading session (most commonly Monday). You can measure it over the entire day or just the first X hours (e.g. 60 or 120 minutes). Once that session ends, the IB High and IB Low define the key levels where the initial weekly range formed.
Why Measure the Weekly IB?
Week-Opening Sentiment:
Monday’s range often sets the tone for the rest of the week. Trading above the IB High signals bullish control; trading below the IB Low signals bearish control.
Key Liquidity Zones:
Large institutions tend to place orders around these extremes, so you’ll frequently see tests, breakouts, or rejections at these levels.
Support & Resistance:
The IB High and IB Low become natural barriers. Price will often return to them, bounce off them, or break through them—ideal spots for entries and exits.
Volatility Forecast:
The width of the IB (High minus Low) indicates whether to expect a volatile week (wide IB) or a quieter one (narrow IB).
Significance of IB Levels
Breakout:
A clear break above the IB High (for longs) or below the IB Low (for shorts) can ignite a strong trending move.
Fade:
A rejection off the IB High/Low during low momentum (e.g. low volume or pin-bar formations) offers a high-probability reversal trade.
Mid-Point:
The 50% level of the IB range often “magnetizes” price back to it, providing entry points for continuation or reversal strategies.
Three Core Monday IB Strategies
A. Breakout (Open-Range Breakout)
Entry: Wait for 1–2 candles (e.g. 5-minute) to close above IB High (long) or below IB Low (short).
Stop-Loss: A few pips below IB High (long) or above IB Low (short).
Profit-Target: 2–3× your risk (Reward:Risk ≥ 2:1).
Best When: You spot a clear impulse—such as a strong pre-open volume spike or news-driven move.
B. Fade (Reversal at Extremes)
Entry: When price tests IB High but shows weakening momentum (shrinking volume, upper-wick candles), enter short; vice versa for IB Low and longs.
Stop-Loss: Just beyond the IB extreme you’re fading.
Profit-Target: Back toward the IB mid-point (50% level) or all the way to the opposite IB extreme.
Best When: Monday’s action is range-bound and lacks a clear directional trend.
C. Mid-Point Trading
Entry: When price returns to the 50% level of the IB range.
In an up-trend: buy if it bounces off mid-point back toward IB High.
In a down-trend: sell if it reverses off mid-point back toward IB Low.
Stop-Loss: Just below the nearest swing-low (for longs) or above the nearest swing-high (for shorts).
Profit-Target: To the corresponding IB extreme (High or Low).
Best When: You see a strong initial move away from the IB, followed by a pullback to the mid-point.
Usage Steps
Configure your session: Measure IB over your chosen Monday timeframe (whole day or first X hours).
Choose your strategy: Align Breakout, Fade, or Mid-Point entries with the current market context (trend vs. range).
Manage risk: Keep risk per trade ≤ 1% of account and maintain at least a 2:1 Reward:Risk ratio.
Backtest & forward-test: Verify performance over multiple Mondays and in a paper-trading environment before going live.
Dominance Interflow DThis indicator visualizes the normalized dominance levels of key sectors in the crypto market, including Bitcoin, Ethereum, Stablecoins, and the Altcoins as grouped market segments.
All dominance values are normalized between 0 and 1 for clear visual comparison. This allows traders and analysts to:
- Track capital rotation and dominance shifts
- Identify Altseason setups or defensive market phases
- Spot Risk-On / Risk-Off sentiment based on Stablecoin dominance
- Evaluate market breadth through altcoin tracking
📊 Included Data Series:
- 🟧 Bitcoin Dominance (BTC.D)
- 🔵 Ethereum Dominance (ETH.D)
- ⚪ Stablecoin Dominance (STABLE.C.D)
- 🟥 Without Top 50 Coins (TOTALE50.D)
- 🟥 without Top 100 Coins (TOTALE100.D)
🧠 Smart Normalization:
Automatically adjusts based on timeframe
500 candles for Daily (1D)
💡 Use this tool to understand macro capital flows, identify crypto sector trends, and optimize your asset rotation strategy.
Candle Closer Levels & TP Zones📝 Description:
This indicator is designed to provide intrabar trade levels for high-speed execution strategies, such as scalping and intraday momentum trading.
🧩 Key Features:
Plots High, Low, Mid, and two Quarter Levels on the current candle only, keeping charts clean
Take Profit (TP) lines are calculated as a percentage of candle range, not fixed ticks — this makes it highly adaptable for futures like NQ/ES or volatile markets like crypto
Supports both long and short setups via a simple toggle
Customizable colors, line thickness, and length
Each TP level can be enabled or muted individually
📈 Use Case:
Apply this tool to spot candle-based breakouts or rejections. You can scale TPs dynamically based on the strength of the current candle. This is especially helpful in assets where volatility fluctuates greatly intrabar.
This is not a repackaged built-in indicator — it’s purpose-built for real-time tactical level plotting without historical noise.
Multi-Position DashMulti-Position Dash — Risk Dashboard for Forex, Stocks & Indices
Overview:
The Multi-Position Dash is a highly customizable trading dashboard designed to help active traders manage up to 8 simultaneous positions across Forex, Stocks, and Indices. Whether you're trading single entries, layering positions, using DCA (Dollar Cost Averaging), or running complex hedging setups, this tool provides essential, real-time risk and P&L insights—directly on your chart.
Key Features:
✔️ Supports Forex, Stocks, Indices — with automatic pip and contract conversions
✔️ Track up to 8 manual positions, each with customizable direction, lot size or contracts, entry price, Take Profit, and Stop Loss
✔️ Full GBP-based P&L and risk calculation, including automatic USD-to-GBP conversion for non-FX assets
✔️ Real-time display of:
Total potential Take Profit (GBP)
Total potential Stop Loss (GBP)
Risk % relative to account balance
Live P&L (GBP) based on current price
✔️ Breakeven price calculation, even across mixed-direction positions (DCA & hedging aware)
✔️ Visual breakeven line, live P&L arrows, and entry price markers
✔️ Shared Stop Loss option for all positions — perfect for DCA traders
✔️ Easy export strings for logging trades to external tools like spreadsheets
Ideal For:
✅ Forex traders using lot-based risk models
✅ Stock & Index traders wanting simplified contract-based position tracking
✅ Traders managing multiple active positions, with or without hedging
✅ Anyone needing at-a-glance P&L and risk monitoring, independent of broker platforms
Notes & Usage:
This is a manual tracking tool—you enter your positions, TP, SL levels, etc., and the dashboard calculates the rest. It does not place or manage live orders.
Supports both Long and Short positions.
All calculations are based on your inputs and market price—accuracy depends on maintaining your inputs properly.
Shared Stop Loss feature applies a single, unified stop across all active positions for simplified risk control in DCA setups.
GBP is used as the account currency—USD-to-GBP conversion is applied to stocks and indices as needed.
Disclaimer:
This tool is for educational and planning purposes only. It does not place or manage live trades, and is not a substitute for broker risk management tools. Always double-check your own position sizing and risk before placing live orders.
ATR FX DashboardATR FX Dashboard – Multi-Timeframe Volatility Monitor
Overview:
The ATR FX Dashboard provides a quick, at-a-glance view of market volatility across multiple timeframes for any forex pair. It uses the well-known Average True Range (ATR) indicator to display real-time volatility information in both pips and percentage terms, helping traders assess potential risk, position sizing, and market conditions.
How It Works:
This dashboard displays:
✔ ATR in Pips — The average price movement over a given timeframe, converted to pips for easy interpretation, automatically adjusting for JPY pairs.
✔ ATR as a Percentage of Price — Shows how significant the ATR is relative to the current price. Higher percentages often signal higher volatility or more active markets.
✔ Color-Coded Volatility Highlights — On the daily timeframe, ATR % cells are color-coded:
Green: High volatility
Orange: Moderate volatility
Red: Low volatility
Timeframes Displayed:
15 Minutes
1 Hour
4 Hour
Daily
This gives traders a clear, multi-timeframe view of short-term and broader market volatility conditions, directly on the chart.
Ideal For:
✅ Forex traders seeking quick, reliable volatility reference points
✅ Day traders and swing traders needing help with risk assessment and position sizing
✅ Anyone using ATR-based strategies or simply wanting to stay aware of changing market conditions
Additional Features:
Toggle option to display or hide ATR % relative to price
Automatic pip conversion for JPY pairs
Simple, clean table layout in the bottom-right corner of the chart
Supports all forex symbols
Disclaimer:
This tool is for informational purposes only and is not financial advice. As with all technical indicators, it should be used in conjunction with other tools and proper risk management.
M2 Liquidity Divergence ModelM2 Liquidity Divergence Model
The M2 Liquidity Divergence Model is a macro-aware visualization tool designed to compare shifts in global liquidity (M2) against the performance of a benchmark asset (default: Bitcoin). This script captures liquidity flows across major global economies and highlights whether price action is aligned ("Agreement") or diverging ("Divergence") from macro trends.
🔍 Core Features
M2 Global Liquidity Index (GLI):
Aggregates M2 money supply from major global economies, FX-adjusted, including extended contributors like India, Brazil, and South Africa. The slope of this composite is used to infer macro liquidity trends.
Lag Offset Control:
Allows the M2 signal to lead benchmark asset price by a configurable number of days (Lag Offset), useful for modeling the forward-looking nature of macro flows.
Gradient Macro Context (Background):
Displays a color-gradient background—aqua for expansionary liquidity, fuchsia for contraction—based on the slope and volatility of M2. This contextual backdrop helps users visually anchor price action within macro shifts.
Divergence Histogram (Optional):
Plots a histogram showing dynamic correlation or divergence between the liquidity index and the selected benchmark.
Agreement Mode: M2 and asset are moving together.
Divergence Mode: Highlights break in expected macro-asset alignment.
Adaptive Transparency Scaling:
Histogram and background gradients scale their visual intensity based on statistical deviation to emphasize stronger signals.
Toggle Options:
Show/hide the M2 Liquidity Index line.
Show/hide divergence histogram.
Enable/disable visual offset of M2 to benchmark.
🧠 Suggested Usage
Macro Positioning: Use the background context to align directional trades with macro liquidity flows.
Disagreement as Signal: Use divergence plots to identify when price moves against macro expectations—potential reversal or exhaustion zones.
Time-Based Alignment: Adjust Lag Offset to synchronize M2 signals with asset price behavior across different market conditions.
⚠️ Disclaimer
This indicator is designed for educational and analytical purposes only. It does not constitute financial advice or an investment recommendation. Always conduct your own research and consult a licensed financial advisor before making trading decisions.
MNQ/NQ Risk Management ToolThis tool helps MNQ and NQ futures traders automatically calculate position size based on either a fixed dollar risk or a percentage of account balance.
Simply enter your stop loss level and choose whether to risk a set dollar amount or a percentage of your account. The script will display how many contracts to trade based on your setup.
Features:
Calculates contracts based on stop loss and risk size
Toggle between dollar-based or percent-of-account risk
Works with both MNQ ($2/point) and NQ ($20/point)
Automatically updates based on current price and direction (long or short)
Displays a clean info box on your chart with risk, contracts, and settings
This tool is ideal for intraday or swing traders who want to stay consistent with risk management across trades.
Bitcoin Power Law Clock [LuxAlgo]The Bitcoin Power Law Clock is a unique representation of Bitcoin prices proposed by famous Bitcoin analyst and modeler Giovanni Santostasi.
It displays a clock-like figure with the Bitcoin price and average lines as spirals, as well as the 12, 3, 6, and 9 hour marks as key points in the cycle.
🔶 USAGE
Giovanni Santostasi, Ph.D., is the creator and discoverer of the Bitcoin Power Law Theory. He is passionate about Bitcoin and has 12 years of experience analyzing it and creating price models.
As we can see in the above chart, the tool is super intuitive. It displays a clock-like figure with the current Bitcoin price at 10:20 on a 12-hour scale.
This tool only works on the 1D INDEX:BTCUSD chart. The ticker and timeframe must be exact to ensure proper functionality.
According to the Bitcoin Power Law Theory, the key cycle points are marked at the extremes of the clock: 12, 3, 6, and 9 hours. According to the theory, the current Bitcoin prices are in a frenzied bull market on their way to the top of the cycle.
🔹 Enable/Disable Elements
All of the elements on the clock can be disabled. If you disable them all, only an empty space will remain.
The different charts above show various combinations. Traders can customize the tool to their needs.
🔹 Auto scale
The clock has an auto-scale feature that is enabled by default. Traders can adjust the size of the clock by disabling this feature and setting the size in the settings panel.
The image above shows different configurations of this feature.
🔶 SETTINGS
🔹 Price
Price: Enable/disable price spiral, select color, and enable/disable curved mode
Average: Enable/disable average spiral, select color, and enable/disable curved mode
🔹 Style
Auto scale: Enable/disable automatic scaling or set manual fixed scaling for the spirals
Lines width: Width of each spiral line
Text Size: Select text size for date tags and price scales
Prices: Enable/disable price scales on the x-axis
Handle: Enable/disable clock handle
Halvings: Enable/disable Halvings
Hours: Enable/disable hours and key cycle points
🔹 Time & Price Dashboard
Show Time & Price: Enable/disable time & price dashboard
Location: Dashboard location
Size: Dashboard size
M2 Growth Rate vs Borrowing RateHave you ever wondered how fast M2 is actually growing? Have you ever wanted to compare its percentage growth rate to the actual cost of borrowing? Are you also, like me, a giant nerd with too much time on your hands?
M2 Growth Rate vs Borrowing Rate
This Pine Script indicator analyzes the annualized growth rate of M2 money supply and compares it to key borrowing rates, providing insights into the relationship between money supply expansion and borrowing costs. Users can select between US M2 or a combined M2 (aggregating US, EU, China, Japan, and UK money supplies, adjusted for currency exchange rates). The M2 growth period is customizable, offering options from 1 month to 5 years for flexible analysis over different time horizons. The indicator fetches monthly data for US M2, EU M2, China M2, Japan M2, UK M2, and exchange rates (EURUSD, CNYUSD, JPYUSD, GBPUSD) to compute the combined M2 in USD terms.
It plots the annualized M2 growth rate alongside borrowing rates, including US 2-year and 10-year Treasury yields, corporate bond effective yield, high-yield bond effective yield, and 30-year US mortgage rates. Borrowing rates are color-coded for clarity: red if the rate exceeds the selected M2 growth rate, and green if below, highlighting relative dynamics. Displayed on a separate pane with a zero line for reference, the indicator includes labeled plots for easy identification.
This tool is designed for informational purposes, offering a visual framework to explore economic trends without providing trading signals or financial advice.
Bitcoin Power Law [LuxAlgo]The Bitcoin Power Law tool is a representation of Bitcoin prices first proposed by Giovanni Santostasi, Ph.D. It plots BTCUSD daily closes on a log10-log10 scale, and fits a linear regression channel to the data.
This channel helps traders visualise when the price is historically in a zone prone to tops or located within a discounted zone subject to future growth.
🔶 USAGE
Giovanni Santostasi, Ph.D. originated the Bitcoin Power-Law Theory; this implementation places it directly on a TradingView chart. The white line shows the daily closing price, while the cyan line is the best-fit regression.
A channel is constructed from the linear fit root mean squared error (RMSE), we can observe how price has repeatedly oscillated between each channel areas through every bull-bear cycle.
Excursions into the upper channel area can be followed by price surges and finishing on a top, whereas price touching the lower channel area coincides with a cycle low.
Users can change the channel areas multipliers, helping capture moves more precisely depending on the intended usage.
This tool only works on the daily BTCUSD chart. Ticker and timeframe must match exactly for the calculations to remain valid.
🔹 Linear Scale
Users can toggle on a linear scale for the time axis, in order to obtain a higher resolution of the price, (this will affect the linear regression channel fit, making it look poorer).
🔶 DETAILS
One of the advantages of the Power Law Theory proposed by Giovanni Santostasi is its ability to explain multiple behaviors of Bitcoin. We describe some key points below.
🔹 Power-Law Overview
A power law has the form y = A·xⁿ , and Bitcoin’s key variables follow this pattern across many orders of magnitude. Empirically, price rises roughly with t⁶, hash-rate with t¹² and the number of active addresses with t³.
When we plot these on log-log axes they appear as straight lines, revealing a scale-invariant system whose behaviour repeats proportionally as it grows.
🔹 Feedback-Loop Dynamics
Growth begins with new users, whose presence pushes the price higher via a Metcalfe-style square-law. A richer price pool funds more mining hardware; the Difficulty Adjustment immediately raises the hash-rate requirement, keeping profit margins razor-thin.
A higher hash rate secures the network, which in turn attracts the next wave of users. Because risk and Difficulty act as braking forces, user adoption advances as a power of three in time rather than an unchecked S-curve. This circular causality repeats without end, producing the familiar boom-and-bust cadence around the long-term power-law channel.
🔹 Scale Invariance & Predictions
Scale invariance means that enlarging the timeline in log-log space leaves the trajectory unchanged.
The same geometric proportions that described the first dollar of value can therefore extend to a projected million-dollar bitcoin, provided no catastrophic break occurs. Institutional ETF inflows supply fresh capital but do not bend the underlying slope; only a persistent deviation from the line would falsify the current model.
🔹 Implications
The theory assigns scarcity no direct role; iterative feedback and the Difficulty Adjustment are sufficient to govern Bitcoin’s expansion. Long-term valuation should focus on position within the power-law channel, while bubbles—sharp departures above trend that later revert—are expected punctuations of an otherwise steady climb.
Beyond about 2040, disruptive technological shifts could alter the parameters, but for the next order of magnitude the present slope remains the simplest, most robust guide.
Bitcoin behaves less like a traditional asset and more like a self-organising digital organism whose value, security, and adoption co-evolve according to immutable power-law rules.
🔶 SETTINGS
🔹 General
Start Calculation: Determine the start date used by the calculation, with any prior prices being ignored. (default - 15 Jul 2010)
Use Linear Scale for X-Axis: Convert the horizontal axis from log(time) to linear calendar time
🔹 Linear Regression
Show Regression Line: Enable/disable the central power-law trend line
Regression Line Color: Choose the colour of the regression line
Mult 1: Toggle line & fill, set multiplier (default +1), pick line colour and area fill colour
Mult 2: Toggle line & fill, set multiplier (default +0.5), pick line colour and area fill colour
Mult 3: Toggle line & fill, set multiplier (default -0.5), pick line colour and area fill colour
Mult 4: Toggle line & fill, set multiplier (default -1), pick line colour and area fill colour
🔹 Style
Price Line Color: Select the colour of the BTC price plot
Auto Color: Automatically choose the best contrast colour for the price line
Price Line Width: Set the thickness of the price line (1 – 5 px)
Show Halvings: Enable/disable dotted vertical lines at each Bitcoin halving
Halvings Color: Choose the colour of the halving lines
Intraweek Highs & Lows🔎 Track and analyze intraweek price extremes with full flexibility.
The indicator detects weekly highs or lows for any selected weekday and monitors when other days break those levels.
⚙️ Inputs
Select day
Pick which weekday’s extreme you want to monitor.
Find Low/High
Select whether you want to track Lows or Highs.
Use candle Wick/Body
Choose if extremes are calculated by full wick or candle body.
Cutoff date
Toggle the date-based filter and choose the starting date for event display.
