Lot Size & Risk Calculator All Pairs NEWLot Size & Risk Calculator All Pairs NEW
Description
Professional risk and position size calculator for traders working with various financial instruments.
Main difference from standard indicators:
Standard risk calculators only show basic Risk/Reward for the entire position. But in real trading, we often close positions partially at different take-profit levels, and the final Risk/Reward changes significantly with this approach! This indicator calculates weighted Risk/Reward taking into account position distribution across multiple take-profit levels.
Main features:
- Support for 4 instrument types: Forex, XAUUSD (gold), BTCUSD (bitcoin), US100 (NASDAQ index)
- Automatic position size calculation based on risk and stop-loss distance
- Multiple take-profit levels with customizable closing percentages
- Weighted Risk/Reward calculation considering position distribution
- Ability to adjust position distribution between take-profits to optimize final profit
- Display of total percentage growth of deposit from all take-profit levels
- 2 visualization options: colored fill between levels or lines
- Informative results panel in table format
Settings by groups:
Core Settings
- Currency: select instrument type (Forex, XAUUSD, BTCUSD, US100)
- Account Balance: trading account size in dollars
- Risk %: risk percentage from deposit (0.1-100%)
- Use Custom Contract Sizes: manual contract size configuration
Point Value Settings
- Use automatic point value calculation: automatic point value calculation
- Manual point value: manual point value input (for non-standard contracts)
Levels
- Entry Price: entry price (confirmation required on first use)
- Stop Price: stop-loss price
- Take-Profit Prices: take-profit prices (up to 3 levels)
- TP Close %: percentage of position closed at each take-profit level
Dashboard
- Show Targets Profit: display profit from take-profit levels
- Label Size: text size in the table
- Dashboard Position: table position on the chart
How to use:
Step 1: Initial setup (when first adding)
1. Enter entry price (Entry Price) - confirmation window will appear (click on desired bar)
2. Then enter stop-loss price (Stop Price) (click on desired bar)
3. Add first take-profit (TP1) (click on desired bar)
4. Second and third take-profits are added through checkboxes (click on the settings gear icon to open them)
Step 2: Instrument selection and risk configuration
1. In "Core" group, select your instrument type
2. Set account balance and risk percentage
Step 3: Position distribution configuration
1. Set TP Close % for each take-profit level (e.g.: TP1 - 33%, TP2 - 33%, TP3 - 34%)
2. Experiment with distribution! By changing closing percentages, you can:
- Increase/decrease final Risk/Reward
- Optimize risk/profit ratio
- Find the most comfortable position distribution for you
Step 4: Results analysis
1. Results table will show:
- Calculated position size (lots/contracts)
- Risk in monetary terms
- Risk/Reward for each take-profit level
- Weighted R:R considering position distribution
- Total potential profit from all take-profits
- Percentage growth of deposit - total profit percentage from all take-profit levels
Key features:
Position distribution adjustment
You can easily find optimal position distribution between take-profits:
- Aggressive approach: higher percentage on distant take-profit (higher profit potential)
- Conservative approach: higher percentage on near take-profit (faster profit taking)
- Balanced: even distribution for risk reduction
Weighted Risk/Reward
The indicator calculates not just simple R:R for the entire position, but weighted value that considers:
- Position distribution between take-profits
- Different distances to each take-profit level
- Closing percentage at each level
Results visualization
- Colored fill shows risk and profit zones
- Labels at levels display specific profit/loss values
- Results table contains all key metrics
Creation story
This indicator was created based on the original calculator by @Algoryze As a trader, I lacked the ability to see real Risk/Reward when partially closing positions and a convenient tool for selecting optimal position distribution between take-profit levels. I improved the indicator by adding:
- Weighted Risk/Reward calculation
- Ability to adjust closing percentage at each take-profit
- Display of total percentage growth of deposit
- Improved interface and visualization
I hope this tool will be useful to other traders who use strategies with partial position closing!
Important notes:
1. When first adding the indicator, be sure to enter prices in order: Entry → Stop → TP1
2. TP2 and TP3 are added through input fields (no confirmation required)
3. Closing percentages are automatically normalized if the sum is not 100%
4. Experiment with position distribution to find optimal risk/profit ratio
5. For different instruments, add separate copies of the indicator in different tabs
Support
For questions and suggestions, leave comments in the indicator publication on TradingView.
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Important: All calculations are provided for informational purposes only. Trading involves risks, trade responsibly. The indicator helps with calculations but does not guarantee profit.
Portföy Yönetimi
StopLoss Calculator ... Manual or Chart Entry, EUR or perc. RiskStop-Loss Calculator for manual or chart entry, EUR or % risk. Works for long & short positions on all timeframes. Entry and stop-loss lines are fully customizable. Use at your own risk.
Stop-Loss Rechner für manuellen oder Chart-Einstieg, Risiko in EUR oder %. Funktioniert für Long- & Short-Positionen in allen Timeframes. Entry- und Stop-Loss-Linien sind vollständig anpassbar. Nutzung auf eigenes Risiko.
Stop-Loss Calculator – Manual or Chart Entry, EUR or % Risk
This indicator calculates the optimal stop-loss price for trades based on the selected entry, position size, and risk tolerance. You can choose between manual entry or using the current chart price, and define risk as either a fixed amount (EUR) or a percentage of your capital. It works for both long and short positions and is compatible with all timeframes.
The script plots the entry and stop-loss levels, with colors and line styles fully customizable.
How to Use
Entry Selection: Choose between the chart’s current price or a manual entry price.
Position Size: Enter the number of units/shares/contracts you are trading.
Risk Mode: Select Absolute (EUR) or Percent (%). Enter the corresponding value.
Direction: Choose Long or Short.
Stop-Loss: The script automatically calculates and displays the stop-loss line.
BTC - Satoshis Altcoin Graveyard OVERVIEW
The Satoshi's Altcoin Graveyard (SAG) is a macro-statistical engine designed to solve the problem of Survivorship Bias . It is a well-known phenomenon in the crypto markets that the "Top 10" list is in a constant state of flux. If you look at historical data from CoinMarketCap (CMC) year by year, you will see a revolving door of projects that once seemed "too big to fail" disappearing into obscurity. Meanwhile, Bitcoin has remained the undisputed #1 since inception.
While most traders have a "gut feeling" that Altcoins eventually depreciate against Bitcoin, I believe in measuring it and drawing it on a chart for better visibility. By locking in specific "Cohorts" of market leaders from the past, we can track their inevitable decay through the Satoshi Sieve .
THE 13-COIN STATISTICAL BUCKET
To ensure an objective, non-biased audit, each cohort (we look at 2018, 2020 and 2022) is constructed using a fixed market-cap methodology from the snapshot date (excluding stablecoins):
• The Core: The Top 10 non-stablecoin assets at that time by Marketcap.
• The Risk Alpha: Representative samples from the Top #25, #50, and #100 ranks. (By including lower-ranked "riskier" alts, we capture the full statistical decay of the market, not just the "Blue Chips.")
TECHNICAL ARCHITECTURE
This script is engineered to push the boundaries of the Pine Script engine. TradingView enforces a hard limit of 40 unique data requests . By tracking 3 cohorts of 13 assets plus the Bitcoin base, this indicator utilizes exactly 40/40 requests , providing the maximum possible data density in a single chart window.
THE SPS CONCEPT (Survival Probability Score)
The SPS measures the Breadth of Survival . It answers: "How many coins from this year (the year of the snapshot) are actually outperforming BTC?"
We use a binary logic system to determine if a coin is "Winning" or "Losing" against the only benchmark that matters: Bitcoin.
• The Status Formula: Status = Current_Alt_BTC_Ratio >= Entry_Alt_BTC_Ratio ? 1 : 0 . This means: Every single day, at the Daily Close , the script compares the current Alt/BTC ratio to the fixed ratio from the snapshot date. If the coin is worth more in Bitcoin today than it was back then, it is assigned a "1" (a Win). If it has lost value against Bitcoin, it gets a "0" (a Loss).
• The SPS Line: SPS Line = (Sum of 'Wins' / 13) * 100 This means: We add up all the "Winners" for that specific day and turn it into a percentage. For example, if the Aqua line is at 7.69% on your chart, it confirms that on that day , exactly 1 out of the 13 coins was successfully beating Bitcoin, while the other 12 were underperforming.
THE PERFORMANCE MATRIX
In the top-right corner, we provide a Weighted Portfolio Simulation . This answers the financial question: "If I swapped 1 BTC into an equal-weight basket of these 13 coins on the snapshot day, what is my BTC value today?".
• Value < 1.0 BTC: You lost purchasing power compared to holding Bitcoin.
• Value > 1.0 BTC: You successfully achieved "Alpha" over the benchmark.
HOW TO READ THE CHART
• The Waterfall: Lines generally trend downward as the "Satoshi Sieve" filters out assets that cannot maintain their BTC-relative value.
• Dynamic Winners: We dynamically print the names of the current survivors at the tip of each line. If a cohort shows "None," the graveyard is full.
HOW TO READ THE MATRIX
• The BTC Target: Any portfolio value in the matrix below 1.0 BTC represents a failed altcoin rotation.
• Class of 2018: A portfolio value near 0.15 BTC at the current date, means a 85% loss rate.
• Class of 2020: A portfolio value near 0.77 BTC at the current date, means an approx 20 % loss rate.
• Class of 2022: A portfolio value near 0.31 BTC at the current date, means an approx 70% loss rate.
DIFFERENCE FROM AN ALTCOIN INDEX
Standard Altcoin Indexes (like my ALSI Index ) "rebalance" by removing losers and adding new winners. This is deceptive. The Altcoin Graveyard never rebalances . It forces you to watch the "losers" decay, providing a realistic look at the long-term opportunity cost of "Buy and Hold" for anything other than Bitcoin.
CONCLUSION
The data revealed by the Satoshi Sieve leads to a singular, sobering "Lesson Learned": Picking the right coin to outperform Bitcoin is not just difficult—it is statistically improbable over a long-term horizon.
While the "Risk-Reward" of altcoins is often marketed as having higher upside, the Altcoin Graveyard proves that for the vast majority of assets, the reward does not justify the risk of total portfolio erosion in BTC terms.
• The Mathematical Odds: If you picked a Top 10 coin in 2018, your chance of outperforming BTC today is effectively 0%.
• The Rotation Trap: Most investors "HODL" these assets into the graveyard, hoping for a return to previous ATHs that never comes because the liquidity has already moved on to the next "Class" of winners.
The final conclusion is clear: Diversification into altcoins is often just a slow-motion transfer of wealth back to Bitcoin. If you cannot identify the 1-out-of-13 that survives the Sieve, your best risk-adjusted move has historically been to simply hold the benchmark.
DISCLAIMER
This script is for educational purposes only. It does not constitute financial advice. It is a mathematical study of historical opportunity cost and survivorship bias.
Tags
bitcoin, btc, satoshis graveyard, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths, robmaths
Satoshi Frame Risk FrameSatoshi Frame Risk Frame
Trade with structure, not emotion.
Satoshi Frame – Risk Frame is a minimalist capital and risk management tool designed for traders who value discipline over hype.
This indicator helps you:
Calculate position size based on fixed risk
Control margin usage with leverage awareness
Visualize risk before entering any trade
Stay consistent across different market conditions
Built for futures and leveraged trading, Risk Frame focuses on one rule only:
Protect your capital first. Profits come later.
This is the first public release by Satoshi Frame —
a framework, not a signal .
Athanor - Context Execution EngineAthanor is a discretionary-to-mechanical execution indicator designed for traders who want to apply market judgment once and then remove themselves entirely from the trade.
Rather than generating signals or predictions, Athanor acts as a controlled execution furnace: you define the trade context (entry, invalidation, and target), and the system executes that decision exactly as specified — without interference, re-entries, or emotional overrides.
This makes Athanor especially suited for:
Prop firm evaluations
Set-and-forget trading
Overnight or “sleep-safe” execution
Traders who want discipline enforced after analysis is complete
Key Features
• Supports up to four independent trade scenarios (e.g. range fades and breakouts)
• One-and-done execution — first fill locks all others (OCO behavior)
• Daily arming logic prevents historical or stale triggers
• Time-based expiry ensures trades only execute while context is valid
• Optional global cancel time for session-based trading
• Webhook alerts compatible with automation services (e.g. TradersPost)
What Athanor Is Not
Athanor does not:
Predict direction
Trail stops
Scale positions
Re-enter after a stop
Override your decisions
It executes only what you explicitly authorize.
Intended Workflow
Analyze the market and identify a complete, self-contained trade idea
Define entry, stop, and target levels
Arm Athanor for the current session
Walk away and let the trade resolve
If price reaches your level, the trade executes.
If not, the idea expires without consequence.
Philosophy
Athanor is built on the principle that judgment and execution should not occur at the same time.
By separating analysis from execution, traders reduce emotional interference, over-management, and rule-breaking — especially during high-pressure environments such as prop firm evaluations.
Stop lossHi all!
This simple indicator will alert you when a price limit is reached (stop loss). I've created this indicator out of 2 reasons:
1. My broker only lets me to set a stop loss limit until a certain time. The time is a couple of months forward in time, but with a Tradingview plan that lets you set open-ended alerts this can alert you later than that.
2. I would like a stop loss on closing price only. This will not get you stopped out by a wick, but needing a 'close' price to be equal or below (for long trades) or equal or above (for short trades).
So this indicator will alert you when your stop to is hit and exit with a 'runtime.error' on the tick after the alert. It won't give you any good looking visuals, just a red line of your chosen stop loss price. Set it in the settings or click '...'->'Reset points...' and drag the line to your desired limit price. Also choose if your trade direction is long or short and if the bar that enters below/above your stop loss needs to be closed.
Note that there's a limitation depending on your style of trading (short term or long term) and if your Tradingview subscription provides live data or not. Also this will only alert you, not buy (for short trades) or sell (for long trades) your contracts when the stop loss is hit.
Best of trading luck!
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use)
Overview
This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars.
The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve.
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Why use logarithms?
Price action is typically more meaningful in **percentage moves** than in absolute dollar moves.
* A move from $100 → $200 is +100%
* A move from $2000 → $2100 is only +5%
By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes.
So instead of modelling (P), the indicator models:
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The growth model: Power-law curve
The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time:
where (t) is the number of days (or bars) since the first data point.
It then fits a straight-line model in log-log space:
Substituting back in:
Exponentiating both sides gives the curve in normal price units:
This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports.
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What “expanding regression” means
The model uses all data available from the beginning of the chart up to the current bar. That means:
* Early in the asset’s history the curve can change more because there are fewer points.
* Over time the curve becomes more stable as more history is included.
Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in.
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Measuring “typical deviation” from the curve (residual volatility)
Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it.
At any time point:
* Actual log price is (y = \ln(P))
* Predicted log price from the curve is (\hat{y} = a + b\ln(t))
The **residual** is:
The indicator computes the standard deviation of these residuals:
This (\sigma) is a measure of typical “distance from trend” in log terms.
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Building the bands (the key idea)
The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down:
Upper band (k):
Lower band (k):
Where:
* (k) is the band number (1, 2, 3, …)
* (s) is a user-chosen spacing factor (band spacing)
* (\sigma) is the residual standard deviation
Converting back to normal price:
Upper band (k):
Lower band (k):
Why bands look like “translated copies”
Because shifting by a constant in log space equals multiplying by a constant in price space:
So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts.
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Optional curve shift (manual adjustment)
A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower.
Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor:
* Positive shift → multiplies all bands upward
* Negative shift → multiplies all bands downward
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How to interpret the zones
The base curve represents a long-term “trend center” in log-growth terms.
* Price near the base curve → near long-term trend
* Price in upper bands → expensive relative to long-term trend
* Price in lower bands → cheap relative to long-term trend
Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels.
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Long-term buy zones (Lower 1 and Lower 2)
**Lower 1** and **Lower 2** are intended as **long-term accumulation zones**.
When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to:
* deep bear markets,
* high fear / capitulation phases,
* long accumulation periods.
A simple long-term framework many users apply:
* **Accumulate gradually when price enters Lower 1**
* **Accumulate more aggressively when price enters Lower 2**
* Reduce risk / take profits progressively in higher upper bands
These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions.
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## Notes / limitations
* This indicator is a **macro trend tool**, not an intraday trading system.
* The curve is derived from historical behavior; it can shift slowly as new data arrives.
* Extremely new market regimes or structural changes can reduce reliability.
* Use alongside risk management and additional confirmation if trading.
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Apex-Wallet - Risk & Reward Calc (Futures/Prop-Firm)Overview The Apex Risk & Reward Calc is a specialized utility tool designed for Futures traders, particularly those working with Prop Firms (Apex, MyFundedFutures, etc.). It eliminates the need for manual calculations by providing an instant, clear visualization of your Risk/Reward parameters directly on the chart.
How it works Trading Futures (ES, NQ, MES, MNQ) requires knowing exactly how many ticks correspond to your financial target. This script automatically detects the active instrument and calculates the precise number of ticks needed for both your Take Profit (TP) and Stop Loss (SL) based on your desired cash outcome and chosen ratio.
Key Features:
Automatic Ticker Recognition: Supports ES, NQ, MES, and MNQ with built-in tick values.
Cash-Based Planning: Enter your desired profit in dollars (e.g., $50), and the script tells you the required tick move.
Dynamic Ratio Selection: Choose from 9 different R:R ratios (from 1/5 to 5/1) to instantly see the impact on your Stop Loss.
Compact Professional UI: A clean, 3-column dashboard at the bottom-right of your screen showing active lots, ticks, and gross cash values.
Trading Application Perfect for intraday scalpers who need to set their ATM strategies in platforms like Tradovate or NinjaTrader. It ensures your execution remains consistent with your risk management plan.
Hedge Mini Calculator (Avg Long/Short + Alerts) with dca
Hedge Mini Calculator is a position-management indicator for traders who use long & short hedging.
It plots:
Long average price
Short average price
Optional hedge close level (+% above hedge average)
The indicator also provides alerts when price reaches the long or short average, helping you manage hedge exits and directional bias with precision.
Designed for risk control, not signals.
🔹 How to Use (Simple & Clear)
1. Enter Your Positions
In the indicator settings:
Add the dollar amount and entry price for each long leg
Add the dollar amount and entry price for each short leg
Set your leverage (default x4)
The indicator does not connect to your exchange.
All values are entered manually.
2. Read the Lines
Avg Long line → average entry of all long positions
Avg Short line → average entry of all short positions
Hedge Close line (optional) → price level where you may close shorts and stay long
3. Use Alerts
You can create alerts for:
Price reaching Avg Long
Price reaching Avg Short
Alerts trigger when the candle touches the average price (high–low range).
4. Manage the Hedge
Typical workflow:
Keep both long & short active while price is inside the range
When price moves favorably and reaches your target level:
Close the hedge leg (usually shorts)
Keep the directional position (longs)
5. PnL Awareness
The info table shows:
Estimated Long PnL
Estimated Short PnL
Net PnL (based on margin & leverage)
These values are approximations for decision support.
⚠️ Disclaimer
This indicator is not a trading signal.
It is a position management tool for hedging, scaling, and risk control.
LANZ Origins🔷 LANZ Origins – Multi-Framework Liquidity, Structure & Risk Management Overlay
LANZ Origins is a multi-tool TradingView indicator designed to provide session context, liquidity mapping, imbalance visualization, higher-timeframe candle projection, and a fixed-SL lot size calculator.
It includes:
Risk & Lot Size Panel (up to 5 accounts):
Calculates lot size using a fixed Stop Loss in pips and a standard pip value assumption ($10 per pip per 1.0 lot). For each enabled account, it displays the estimated lots and dollar risk based on account capital and risk %. The panel is fully customizable (colors, text size, visibility).
Session Backgrounds (New York time):
Colors the chart by time blocks: Day Division, No Action Zone, Killzone, and Hold Session, helping traders visually segment the trading day.
Asian Range Liquidity Box (19:00–02:00 NY):
Draws a dynamic box tracking the session high/low, plus an optional midline (50%) with optional label. The script correctly handles sessions that cross midnight.
Imbalance Detector:
Detects and draws Fair Value Gaps (FVG), Opening Gaps (OG), and Volume Imbalances (VI) with adjustable filters (min width by points/%/ATR and extension). Optionally shows a dashboard summarizing frequency and fill rate.
ICT HTF Candles Overlay:
Projects selected higher-timeframe candles to the right of price (e.g., 30m enabled by default), with optional labels, remaining time, trace lines (O/C/H/L) and internal imbalance highlights for those HTF candle sets.
30m ZigZag projected to all timeframes:
Computes ZigZag pivots from the 30-minute timeframe and draws them on any chart timeframe, including an optional live extending leg.
LANZ Origins does not execute trades and does not generate buy/sell entries. It is a visual framework for analysis, context, and risk planning.
Share Size CalcCalculate the share size to be used based on a percentage risk per trade and total capital in the account.
Portfolio TrackerPortfolio Tracker – Manual Position Dashboard
This indicator provides a clean, non-intrusive dashboard for tracking open equity positions directly on your chart.
You can manually enter up to 20 positions (symbol, quantity, and buy price), and the dashboard will automatically compute:
- Invested amount per position
- Live market price
- Current market value
- Profit / Loss (absolute)
- Profit / Loss (%)
- Portfolio-level totals
The dashboard updates on the latest bar only, ensuring stable values and minimal redraw overhead.
Visuals :
- Supports up to 20 simultaneous positions
- Clear green / red P&L highlighting per position
- Portfolio totals calculated in real time
- Adjustable dashboard size (Small / Normal / Large)
- User-selectable dashboard position (top/bottom, left/right)
No trading logic, no signals, no repainting — tracking only
Market Structure Break + RSI ExitSignal Architect™ — Developer Note
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across futures, algorithmic systems, options, and equity trading.
Every tool I release is built with one principle in mind:
clarity of direction without over-promising or under-delivering.
That is why all Signal Architect™ tools emphasize:
Market structure first
High-probability directional context
Clear, visual risk framing
No predictive claims, no curve-fit illusions
What you are seeing here is only a small glimpse of a much broader internal framework I actively use in live environments.
🧠 Background & Scope
Over the years, I have personally developed 800+ programs spanning:
Equities
Futures
Options
Dividend & income systems
Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several of which operate under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my full system—only educational and analytical previews designed to demonstrate how structure and probability can be aligned visually.
🤝 Support & Collaboration
If you find value in what I share:
Please subscribe, boost, and share my scripts, Ideas, and MINDS posts
You are always welcome to message me directly with questions or if you need something built or adapted
Constructive feedback and collaboration are encouraged
For traders looking to go deeper, I offer optional memberships that include:
Access to additional signals
Early previews
Occasional free tools and upgrades to support your trading journey
🔗 Membership & Signals:
trianchor.gumroad.com
⚠️ Final Note
Everything published publicly is for educational and analytical purposes only.
Markets carry risk. Discipline and risk management always come first.
— Signal Architect™
You can Find my personally developed GBT below
chatgpt.com
chatgpt.com
chatgpt.com
********************************************************************************************************************WHAT THIS INDICATOR DOES
This indicator is a structure-first breakout engine designed around how price actually transitions between balance and expansion.
It does not predict reversals.
It waits for confirmed market structure breaks, then:
Anchors risk using recent wave extremes
Projects deterministic TP/SL zones
Tracks outcomes visually and statistically
Optionally exits early when momentum exhausts (RSI fade)
This makes it ideal for:
Directional traders
Swing continuation setups
Expansion phases after compression
🧠 CORE SIGNAL ARCHITECT LOGIC
1️⃣ Market Structure Identification
The system uses pivot highs and pivot lows to define true structural levels:
Pivot High break → Long bias
Pivot Low break → Short bias
This avoids:
Random candle breakouts
Intrabar noise
False momentum spikes
Only confirmed structural levels are traded.
2️⃣ Entry Trigger (Structure Break)
A trade is triggered only when price closes through structure:
Direction Requirement
Long Close breaks above last confirmed pivot high
Short Close breaks below last confirmed pivot low
📌 Important:
No signal fires if you are already in a trade — one position at a time, clean sequencing.
3️⃣ Stop-Loss Logic (Wave-Anchored Risk)
Stops are not arbitrary.
They are anchored to:
Recent wave low (for longs)
Recent wave high (for shorts)
This ensures:
Stops sit beyond real market structure
Risk reflects actual auction failure, not candle noise
4️⃣ Take-Profit Logic (Risk × Reward)
Take-profit is mechanically derived:
TP = Risk × Risk:Reward Ratio
Examples:
RR = 1.0 → TP = same distance as SL
RR = 1.5 → TP = 1.5× SL distance
RR = 2.0 → TP = expansion-focused swings
This keeps results comparable, repeatable, and testable.
5️⃣ Optional RSI Exit (Momentum Fade)
RSI is not used for entries.
It is used only as an optional early-exit filter:
Trade RSI Condition
Long RSI crosses down from Overbought
Short RSI crosses up from Oversold
This is designed for:
Reducing give-back during exhaustion
Tight markets where expansion stalls
Volatility contraction environments
🔕 You can disable this entirely for pure structure trading.
📦 VISUAL OUTPUTS
🔲 Risk Boxes (Core Feature)
Every trade plots:
Green box = profit zone
Red box = loss zone
Boxes:
Extend forward bar-by-bar
Stop updating once trade resolves
Allow instant visual expectancy review
🔺 Signal Arrows
Green ▲ = Structure Break Long
Red ▼ = Structure Break Short
No repainting.
No intrabar guessing.
🧮 Performance Stats Table
Tracks:
Total trades
Wins
Losses
Win rate %
📌 This is contextual feedback, not a promise of future results.
🎯 RECOMMENDED TIMEFRAMES (VERY IMPORTANT)
This indicator performs best when structure matters.
⭐ PRIMARY TIMEFRAMES (Recommended)
Timeframe Use Case
15-Minute Intraday structure breaks, clean expansions
30-Minute Session-level continuation
1-Hour Swing structure, reduced noise
2-Hour Institutional rhythm, fewer false breaks
4-Hour Macro structure legs
✔ These timeframes allow pivots to form properly
✔ Stops remain structurally meaningful
✔ RR math stays realistic
⚠️ SECONDARY / CONDITIONAL
Timeframe Notes
5-Minute Use only during trend days
Daily Works well, but slower signal frequency
🚫 NOT RECOMMENDED
Timeframe Why
1–3 Minute Too much pivot distortion
Tick / Seconds Breaks structure logic entirely
This is not a scalping indicator.
🟩 BACKGROUND BIAS SHADING
Green tint → Active long bias
Red tint → Active short bias
No tint → Neutral / flat
This helps:
Avoid over-trading
Stay aligned with active structure
Recognize when the system is waiting
🧠 HOW TO USE THIS CORRECTLY
Best Practices
✔ Trade only in expansion environments
✔ Let pivots form before expecting signals
✔ Respect the stop — it is structurally valid
✔ Journal results per timeframe
Avoid
✘ Forcing trades in chop
✘ Using this as a reversal indicator
✘ Lowering timeframe to “get more signals”
⚠️ IMPORTANT DISCLAIMER
This indicator is for educational and analytical purposes only.
It does not:
Predict markets
Guarantee profits
Replace risk management
Trading involves substantial risk and can result in loss of capital.
Past performance does not guarantee future results.
ATH Dip Levels - Crypto Edition with Reactive TPHarika bir fikir! Bu indikatörü toplulukla paylaşırken (TradingView Public Library veya GitHub gibi), insanların stratejinin mantığını ve gücünü anlamaları için etkileyici bir İngilizce açıklama hazırladım.
İşte paylaşımın için kullanabileceğin başlık, özet ve özellikler listesi:
🚀 Indicator Title: ATH Dip Levels - Crypto Reactive Strategy
Overview
This indicator is a specialized "Buy the Dip" and "Reactive Take Profit" system designed specifically for the high volatility of the crypto market. Instead of following lagging indicators, it focuses on the most fundamental metric: Percentage drawdown from the rolling All-Time High (ATH).
It identifies historical discount zones and automatically calculates a "Reactive Take Profit" target for each entry, allowing you to scale out during market bounces.
Key Features
📉 1. Dynamic Buy Zones (DCA Levels)
The script tracks a rolling 220-day ATH and plots 7 distinct discount levels:
Minor Pullbacks: 10%, 20%
Major Corrections: 30%, 40%
Capitulation / Bear Market Bottoms: 55%, 70%, 85% (Highlighted in Neon for max opportunity).
💰 2. Reactive Take Profit (The "Half-Drop" Rule)
This is the core of the strategy. For every buy level triggered, the script automatically sets a "RE-SELL" target based on the severity of the drop:
Logic: The profit target is exactly half of the percentage drop.
Example: If you buy at a 30% dip, the target is a +15% recovery from that entry.
Example: If you buy at a 70% dip, the target is a +35% recovery from that entry. This captures the natural "Dead Cat Bounce" or "Mean Reversion" common in crypto.
🧠 3. Intelligent State Management
Single Trigger per Cycle: Each level triggers only once per ATH cycle to avoid "choppy" market noise.
Automatic Reset: All levels and status flags reset automatically when the price makes a New ATH, preparing you for the next market cycle.
📊 4. Live Status Dashboard
A clean, real-time table on the top-right shows you:
Current ATH price.
Which buy levels have been Hit (✅).
Which profit targets have been Sold (💰).
How to Use
Accumulate: When price hits a green "BUY" label, it's a historical discount zone.
Scale Out: When price hits the purple "RE-SELL" label, take profits on that specific position to reclaim liquidity.
HODL the Rest: Use this to lower your break-even price while keeping a "moon bag" for the next ATH.
Author's Note
Best used on 4H and 1D timeframes. This is a mathematical approach to volatility, removing emotions from your trading.
ATH Dip Levels - Buy on Dips
This indicator is a "Buy the Dip" guide designed for assets in long-term uptrends, such as Nasdaq (QQQ) or S&P 500 (SPY). It uses a mathematical discipline to identify accumulation zones based on the rolling 220-bar All-Time High (ATH).
Key Features:
Dynamic Levels: Automatically calculates entry points at 3%, 5%, 10%, 15%, 25%, 35%, and 50% retracements from the recent ATH.
Smart Filter: Each level is triggered only once per ATH cycle. It prevents over-trading in sideways markets; levels only reset when a brand-new high is formed.
Clean Visuals: Features precise "BUY" labels at exact price points and a handy status dashboard in the top-right corner.
Unified Alerts: Simplify your workflow by setting a single alert for all 7 dip levels.
Cumulative % Change & Inflation-Adjusted (Auto CPI by Currency)This indicator tracks an asset’s cumulative performance from a user-defined start date (T0) and compares nominal returns with inflation-adjusted (“real”) returns, automatically selecting the appropriate CPI series based on the asset currency (USD or EUR).
What it shows
Nominal cumulative return (%) from T0, based on the selected price series.
Inflation change (%) from T0, using a monthly CPI index:
USD assets: US CPI (FRED CPIAUCSL)
EUR assets: Euro Area CPI (TradingView Economics EUCPI)
Real cumulative return (%) from T0, i.e., nominal return deflated by cumulative CPI.
Key inputs
T0 (start date): Year / month / day used as the reference point.
Asset currency (USD/EUR): Drives automatic CPI selection.
Initial capital: Starting value expressed in the asset’s currency; used to display current nominal and real (inflation-adjusted) portfolio value.
Performance ticker (optional): Lets you compute performance using a different symbol than the chart (e.g., a total-return series or an accumulating ETF). If left empty, the script uses the chart’s symbol.
Outputs
Plots
Nominal cumulative % change
Real (inflation-adjusted) cumulative % change
CPI % change
Summary table
Nominal return %
Real return %
CPI change %
Reference date (T0)
Initial value
Current nominal value
Current inflation-adjusted value
Performance ticker used
Notes
CPI is monthly, so the inflation line updates in steps.
If you use a price series that does not include dividends (standard “close”), nominal/real returns may underestimate total return for dividend-paying assets.
Silver vs S&P 500 (Rebased to 100) I have ensured that silver prices and the s&p 500 price are overlayed to give the common folk an understanding. The important part is that the prices are rebased in nature. i.e. if they both started at 100 from an n year which in this case is 1992.
Risk Size Calculator - Indices/Metals This indicator is a universal position sizing tool that automatically calculates how many contracts or units to trade based on your defined dollar risk and stop size, while intelligently adapting to the asset you’re trading.
Key Features
Works on any asset: indices, metals, futures, stocks, crypto, etc.
Auto stop interpretation:
Metals (GC, MGC, SI, SIL, etc.) → Ticks
Everything else → Points
Single stop input (no switching between points/ticks manually)
Auto preset stops per asset class (optional)
Uses TradingView’s native contract data (pointvalue, mintick) for accuracy
Clean, readable top-right panel with:
Risk ($)
Stop (Points or Ticks, auto-labeled)
Contracts / Units
Actual Risk ($)
Optional manual $-per-point override for edge cases or custom instruments
Designed for fast execution with zero mental math and minimal chart disruption.
Peter's Helpful LabelI was having trouble quickly understanding what sector and industry a given stock was in, so I had ChatGPT whip up a helpful script that displays it clearly. Hope it's helpful to others!
BTC vs GOLD Macro RotationBTC vs GOLD Macro Rotation Indicator
BTC vs GOLD Macro Rotation Model
This indicator is a macroeconomic rotation model that compares the relative attractiveness of Bitcoin (BTC) versus Gold (GOLD) based on multiple fundamental macro factors.
How does it work?
The model analyzes weekly data from various macroeconomic indicators and generates a score for each asset. The taller bar indicates the preferred asset to rotate capital into.
- Green bars (above zero): BTC strength
- Yellow bars (below zero):GOLD strength
- Info table:Shows exact percentages and rotation recommendation
Macroeconomic Factors Analyzed:
1. DXY (US Dollar Index)
- Strong dollar → Favors GOLD
- Weak dollar → Favors BTC
2. Oil (WTI Crude)
- Oil rising → Favors GOLD
- Oil falling → Favors BTC
3. Copper
- Copper rising → Favors BTC (risk-on)
- Copper falling → Favors GOLD (risk-off)
4. Real Rates (Fed Funds - YoY Inflation)
- Real rates falling → Favors GOLD
- Real rates rising → Favors BTC
5. Fertilizer/Natural Gas Regime (Urea, Ammonia, Natural Gas)**
- Specific combinations of movements in these commodities generate inflationary/deflationary regime signals
Fertilizer Rules:**
| Urea | Ammonia | Gas | Signal |
|------|---------|-----|--------|
| ↑ | ↑ | ↓ | GOLD +2 |
| ↑ | ↑ | ↑ | GOLD +3, BTC -1 |
| ↓ | ↓ | ↓ | BTC +3, GOLD -1 |
| ↑ | ↓ | ↓ | BTC +3 |
| ↓ | ↑ | ↑ | GOLD +3, BTC -1 |
Technical Features:
- Operates on weekly timeframe regardless of chart
- Normalized changes for signal stability
- Configurable EMA smoothing
- Safe handling of invalid symbols (won't break if a ticker doesn't exist)
- All tickers are user-editable
Configurable Inputs:
- Symbols for all assets (BTC, GOLD, DXY, Oil, Copper, CPI, Fed Funds, Gas, Urea, Ammonia)
- Individual weights for each macro component
- Normalization length
- EMA smoothing
Interpretation:**
- **BTC dominant (taller green):** Macro conditions favor risk/digital assets
- **GOLD dominant (taller yellow):** Macro conditions favor safe-haven/tangible assets
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research before making investment decisions.
Recommended Timeframe: Weekly (W) or Daily (D)
Position Size Calc - Prime Hour Trading v2Descriptive Summary:
The tool acts as a "cockpit dashboard" for your trades, visually mapping out entry, stop-loss, and take-profit levels directly on your chart. It eliminates manual math by instantly converting your personal risk parameters—such as account balance and risk percentage (e.g., 1–2%)—into the exact number of shares, lots, or contracts required for the trade.
Core Features & Functionality
Dynamic Visual Planning: Users can drag entry and exit lines in real-time, with position sizes automatically recalculating as the distance between entry and stop-loss changes.
Automated Risk Modeling: It provides a real-time Risk-to-Reward Ratio (RRR) and precise dollar amounts for potential profit or loss, helping traders stay disciplined and avoid emotional overleveraging.
Advanced Calculation Modes:
Fixed Risk: Risking a set dollar amount or percentage of total equity.
How to Use It
Select the Tool: In the left-hand toolbar, select the Long Position or Short Position drawing tool.
Define Levels: Click on the chart to set your entry, then drag the shaded regions to set your target prices or Take Profit and then Stop Loss.
Input Account Data: Double-click the tool to open "Settings" and enter your Account Size and Risk % or Amount.
MEGA Sector Rotation CRYPTOCAP - 8 Narrativas (Optimized Daily)### MEGA Sector Rotation CRYPTOCAP - 7 Narratives
**Description for publishing on TradingView:**
This advanced indicator lets you visualize in real time the **rotation of narratives** within the crypto market through 7 key sectors, normalized for perfect side-by-side comparison.
Each line represents the **historical relative strength** (min-max normalization over 5000 bars) of a specific narrative, based on TradingView's official aggregated market caps (CRYPTOCAP) and custom sums. The lines oscillate between 0 and 100, with clear crossovers signaling when a sector is gaining or losing momentum relative to the others.
**The 7 narratives included:**
1. **Layer1** (pink) – Aggregated market cap of major Layer 1 blockchains.
2. **Memecoins** (bright green) – Official MEME.C sector (PEPE, SHIB, WIF, BONK, etc.).
3. **AI** (orange) – Artificial Intelligence and Big Data narrative.
4. **Exchanges** (purple) – Exchange tokens (centralized and decentralized).
5. **DeFi Total** (cyan) – Full aggregated market cap of the DeFi ecosystem.
6. **RWA Custom** (brown) – Custom sum of Real World Assets: ONDO + LINK + CFG + SYRUP.
7. **Privacy** (dark orange) – Custom sum of privacy coins: XMR + ZEC + DASH.
**Quick interpretation:**
- Line >80 and rising → Narrative is **HOT** (strong bullish rotation).
- Line <20 → Narrative is **COLD** (losing strength).
- Bullish crossovers → Money rotating into that sector.
- Transparent fills between lines to highlight leadership zones.
**Features:**
- Optimized for **lower timeframes** (5m, 15m, 1H, 4H) → ideal for day trading and scalping narratives.
- Works on any TF thanks to 5-minute resolution data.
- Thick lines, vibrant colors, and horizontal references (20/50/80) for instant reading.
Perfect for spotting early which narrative is attracting capital flows and anticipating sector moves in the crypto market.
Add this indicator and trade rotations like a pro!
#crypto #sectorrotation #narratives #altcoins #tradingview
US Index Market Snapshot Cash, Futures & ETFsBrief Description
This study displays a real-time table of major U.S. equity indices—Dow Jones, S&P 500, Nasdaq, and Russell—across Cash, Futures, and ETF markets.
Each cell shows the current price along with the daily percentage change, with color-coded backgrounds for quick trend identification.
Designed as a compact market dashboard, it provides an at-a-glance view of cross-market alignment and relative performance.
Alternative Title Options
US Indices Dashboard (Cash • Futures • ETFs)
Index Market Matrix – Prices & Daily Change
Multi-Market US Index Table
