Smoothed Heiken Ashi- HODL FLIP V2Smoothed Heiken Ashi - HODL FLIP V2:
Strategy Overview
The SHA HODL FLIP V2 strategy combines smoothed Heikin Ashi candles with a dual EMA approach to identify trend changes in cryptocurrency markets. Unlike traditional "HODL" (Hold On for Dear Life) strategies that only capture upside, this system aims to capture both upward and downward price movements by automatically "flipping" your entire position between long and short depending on the trend direction, allowing you to grow your holdings through complete market cycles.
Technical Approach
The strategy uses a unique two-layer smoothing method:
Primary smoothing: Calculates Heikin Ashi candles using a standard EMA (default: 14 periods)
Secondary smoothing: Further refines the signal by applying an additional EMA filter (default: 8 periods)
This double-smoothing technique reduces false signals and market noise, providing clearer trend identification. The strategy generates entry and exit signals when the color of the smoothed Heikin Ashi candles changes from red to green (long signal) or green to red (short signal).
Capital Allocation
This strategy is designed to utilize 100% of your available capital, effectively "flipping" your entire position between long and short positions as market trends change. Using 1x leverage for short positions keeps risk profile similar to holding spot positions.
Trade Management
Entry Logic: Enter long positions when smoothed HA candles turn green, and short positions when they turn red
Exit Logic: Manually exit your position when an opposing signal appears
Risk Management: Rather than using traditional stop-losses, the strategy relies on trend reversal signals to manage risk
Timeframe Selection
While the strategy can be applied to multiple timeframes, it typically performs best on daily, 2-day, and 3-day charts. Each cryptocurrency pair may have optimal timeframe settings, and backtesting is recommended to determine the most effective parameters for specific assets.
Performance Characteristics
The Smoothed Heiken Ashi HODL FLIP V2 strategy aims to outperform traditional buy-and-hold approaches by:
Capturing gains during bull markets (like traditional HODL)
Generating additional profits during downtrends (unlike traditional HODL)
Preserving capital during major market corrections
During trending markets (both up and down), the strategy tends to perform exceptionally well, generating substantial returns. As with most trend-following systems, performance may reduce during choppy, sideways markets, but the strategy is designed to quickly recover and generate excess profits once a clear trend reasserts itself.
Visualization
The strategy provides clear visual signals directly on your chart:
Green and red candles indicating the current trend direction
Triangular markers showing entry points
A blue horizontal line displaying your current entry price
This complete trading system offers a disciplined, systematic approach to cryptocurrency trading that aims to maximize returns throughout full market cycles rather than just during bull markets. Each asset has very unique settings so thorough backtesting is recommended instead of using 1 setting for all assets.
This is available in an Indicator version which can provide automatic connection to exchanges via webhooks and signal bots, so this can be a hands of strategy. It's called "Smoothed Heiken Ashi Candles with Delayed Signals" . The signals appear at the opening of the next bar, opposed to the close of the existing bar here. Essentially identical, but visually different buy 1 bar.
Gestione portafoglio
OverUnder Yield Spread🗺️ OverUnder is a structural regime visualizer , engineered to diagnose the shape, tone, and trajectory of the yield curve. Rather than signaling trades directly, it informs traders of the world they’re operating in. Yield curve steepening or flattening, normalizing or inverting — each regime reflects a macro pressure zone that impacts duration demand, liquidity conditions, and systemic risk appetite. OverUnder abstracts that complexity into a color-coded compression map, helping traders orient themselves before making risk decisions. Whether you’re in bonds, currencies, crypto, or equities, the regime matters — and OverUnder makes it visible.
🧠 Core Logic
Built to show the slope and intent of a selected rate pair, the OverUnder Yield Spread defaults to 🇺🇸US10Y-US2Y, but can just as easily compare global sovereign curves or even dislocated monetary systems. This value is continuously monitored and passed through a debounce filter to determine whether the curve is:
• Inverted, or
• Steepening
If the curve is flattening below zero: the world is bracing for contraction. Policy lags. Risk appetite deteriorates. Duration gets bid, but only as protection. Stocks and speculative assets suffer, regardless of positioning.
📍 Curve Regimes in Bull and Bear Contexts
• Flattening occurs when the short and long ends compress . In a bull regime, flattening may reflect long-end demand or fading growth expectations. In a bear regime, flattening often precedes or confirms central bank tightening.
• Steepening indicates expanding spread . In a bull context, this may signal healthy risk appetite or early expansion. In a bear or crisis context, it may reflect aggressive front-end cuts and dislocation between short- and long-term expectations.
• If the curve is steepening above zero: the world is rotating into early expansion. Risk assets behave constructively. Bond traders position for normalization. Equities and crypto begin trending higher on rising forward expectations.
🖐️ Dynamically Colored Spread Line Reflects 1 of 4 Regime States
• 🟢 Normal / Steepening — early expansion or reflation
• 🔵 Normal / Flattening — late-cycle or neutral slowdown
• 🟠 Inverted / Steepening — policy reversal or soft landing attempt
• 🔴 Inverted / Flattening — hard contraction, credit stress, policy lag
🍋 The Lemon Label
At every bar, an anchored label floats directly on the spread line. It displays the active regime (in plain English) and the precise spread in percent (or basis points, depending on resolution). Colored lemon yellow, neither green nor red, the label is always legible — a design choice to de-emphasize bias and center the data .
🎨 Fill Zones
These bands offer spatial, persistent views of macro compression or inversion depth.
• Blue fill appears above the zero line in normal (non-inverted) conditions
• Red fill appears below the zero line during inversion
🧪 Sample Reading: 1W chart of TLT
OverUnder reveals a multi-year arc of structural inversion and regime transition. From mid-2021 through late 2023, the spread remains decisively inverted, signaling persistent flattening and credit stress as bond prices trended sharply lower. This prolonged inversion aligns with a high-volatility phase in TLT, marked by lower highs and an accelerating downtrend, confirming policy lag and macro tightening conditions.
As of early 2025, the spread has crossed back above the zero baseline into a “Normal / Steepening” regime (annotated at +0.56%), suggesting a macro inflection point. Price action remains subdued, but the shift in yield structure may foreshadow a change in trend context — particularly if follow-through in steepening persists.
🎭 Different Traders Respond Differently:
• Bond traders monitor slope change to anticipate policy pivots or recession signals.
• Equity traders use regime shifts to time rotations, from growth into defense, or from contraction into reflation.
• Currency traders interpret curve steepening as yield compression or divergence depending on region.
• Crypto traders treat inversion as a liquidity vacuum — and steepening as an early-phase risk unlock.
🛡️ Can It Compare Different Bond Markets?
Yes — with caveats. The indicator can be used to compare distinct sovereign yield instruments, for example:
• 🇫🇷FR10Y vs 🇩🇪DE10Y - France vs Germany
• 🇯🇵JP10Y vs 🇺🇸US10Y - BoJ vs Fed policy curves
However:
🙈 This no longer visualizes the domestic yield curve, but rather the differential between rate expectations across regions
🙉 The interpretation of “inversion” changes — it reflects spread compression across nations , not within a domestic yield structure
🙊 Color regimes should then be viewed as relative rate positioning , not absolute curve health
🙋🏻 Example: OverUnder compares French vs German 10Y yields
1. 🇫🇷 Change the long-duration ticker to FR10Y
2. 🇩🇪 Set the short-duration ticker to DE10Y
3. 🤔 Interpret the result as: “How much higher is France’s long-term borrowing cost vs Germany’s?”
You’ll see steepening when the spread rises (France decoupling), flattening when the spread compresses (convergence), and inversions when Germany yields rise above France’s — historically rare and meaningful.
🧐 Suggested Use
OverUnder is not a signal engine — it’s a context map. Its value comes from situating any trade idea within the prevailing yield regime. Use it before entries, not after them.
• On the 1W timeframe, OverUnder excels as a macro overlay. Yield regime shifts unfold over quarters, not days. Weekly structure smooths out rate volatility and reveals the true curvature of policy response and liquidity pressure. Use this view to orient your portfolio, define directional bias, or confirm long-duration trend turns in assets like TLT, SPX, or BTC.
• On the 1D timeframe, the indicator becomes tactically useful — especially when aligning breakout setups or trend continuations with steepening or flattening transitions. Daily views can also identify early-stage regime cracks that may not yet be visible on the weekly.
• Avoid sub-daily use unless you’re anchoring a thesis already built on higher timeframe structure. The yield curve is a macro construct — it doesn’t oscillate cleanly at intraday speeds. Shorter views may offer clarity during event-driven spikes (like FOMC reactions), but they do not replace weekly context.
Ultimately, OverUnder helps you decide: What kind of world am I trading in? Use it to confirm macro context, avoid fighting the curve, and lean into trades aligned with the broader pressure regime.
Lot Size TableLot Size Table Indicator – Pine Script (v5)
This TradingView script, “Lot Size Table,” creates a dynamic on-chart table that helps forex traders quickly calculate position sizes (lot sizes) for different capital and risk settings across various stop-loss (SL) pip scenarios.
🔧 Key Features:
📊 Real-time Forex Price Integration
Retrieves daily forex prices from OANDA for accurate lot size adjustments.
Instruments supported: USDJPY, USDCHF, AUDUSD, GBPUSD, NZDUSD, USDCAD, EURUSD.
🧠 Smart Lot Size Adjustments
Custom function adjustLotSize() adjusts lot sizes based on:
The currency of the instrument (e.g., JPY, GBP, AUD, etc.).
Special multiplier for symbols like US30 (e.g., ×8.5).
🧾 Flexible Capital & Risk Inputs
Supports 3 customizable capital groups, each with its own:
Capital amount
Risk percentage
📉 Multiple Stop-Loss (SL) Scenarios
Users input a comma-separated list of SL pip values (e.g., "20,25,30,...").
For each SL value, lot sizes are calculated for all 3 capital/risk combinations.
📋 Formatted On-Chart Table
Displays in a user-selected corner of the chart.
Customizable size, background color, and border.
Header row includes capital values and risk % (formatted to "k" if over 1,000).
Remaining rows show calculated lot sizes for each SL pip value.
📐 How It Works:
User Inputs: Capital, risk %, SL pip list, and table styling.
Calculation:
Lot size = (capital × risk%) / (SL pips × 10)
Adjusted based on instrument’s currency.
Display:
Table shows all SL pip scenarios and the corresponding adjusted lot sizes for each capital group.
Drawdown Visualizer v1.0Drawdown Visualizer
The Drawdown Visualizer tracks the percentage decline from all-time highs, providing valuable insights into market corrections and potential buying opportunities.
Key Features:
1) Real-Time Drawdown Tracking: The indicator continuously calculates and displays the current percentage drawdown from the all-time high price, color-coded from green (minimal drawdown) to red (severe drawdown) for instant visual feedback.
2) Maximum Drawdown Detection: Permanently tracks and displays the maximum historical drawdown encountered during the analyzed period, helping traders understand worst-case scenarios.
3) Statistical Analysis: Calculates and displays three important statistical measures:
* Average Drawdown: The mean value of all drawdowns recorded
* Median Drawdown: The middle value in the sorted list of all drawdowns, providing insight
into typical decline patterns
* Normal Drawdown Range: Visualizes the expected range of typical drawdowns based on
statistical standard deviation
Practical Applications:
1) Risk Management: Understand typical and extreme drawdowns to set appropriate stop-loss levels
2) Market Context: Gain perspective on whether current corrections are normal or exceptional
3) Entry Point Analysis: Identify potential buying opportunities when drawdowns reach statistical extremes
Z-Score Normalized VIX StrategyThis strategy leverages the concept of the Z-score applied to multiple VIX-based volatility indices, specifically designed to capture market reversals based on the normalization of volatility. The strategy takes advantage of VIX-related indicators to measure extreme levels of market fear or greed and adjusts its position accordingly.
1. Overview of the Z-Score Methodology
The Z-score is a statistical measure that describes the position of a value relative to the mean of a distribution in terms of standard deviations. In this strategy, the Z-score is calculated for various volatility indices to assess how far their values are from their historical averages, thus normalizing volatility levels. The Z-score is calculated as follows:
Z = \frac{X - \mu}{\sigma}
Where:
• X is the current value of the volatility index.
• \mu is the mean of the index over a specified period.
• \sigma is the standard deviation of the index over the same period.
This measure tells us how many standard deviations the current value of the index is away from its average, indicating whether the market is experiencing unusually high or low volatility (fear or calm).
2. VIX Indices Used in the Strategy
The strategy utilizes four commonly referenced volatility indices:
• VIX (CBOE Volatility Index): Measures the market’s expectations of 30-day volatility based on S&P 500 options.
• VIX3M (3-Month VIX): Reflects expectations of volatility over the next three months.
• VIX9D (9-Day VIX): Reflects shorter-term volatility expectations.
• VVIX (VIX of VIX): Measures the volatility of the VIX itself, indicating the level of uncertainty in the volatility index.
These indices provide a comprehensive view of the current volatility landscape across different time horizons.
3. Strategy Logic
The strategy follows a long entry condition and an exit condition based on the combined Z-score of the selected volatility indices:
• Long Entry Condition: The strategy enters a long position when the combined Z-score of the selected VIX indices falls below a user-defined threshold, indicating an abnormally low level of volatility (suggesting a potential market bottom and a bullish reversal). The threshold is set as a negative value (e.g., -1), where a more negative Z-score implies greater deviation below the mean.
• Exit Condition: The strategy exits the long position when the combined Z-score exceeds the threshold (i.e., when the market volatility increases above the threshold, indicating a shift in market sentiment and reduced likelihood of continued upward momentum).
4. User Inputs
• Z-Score Lookback Period: The user can adjust the lookback period for calculating the Z-score (e.g., 6 periods).
• Z-Score Threshold: A customizable threshold value to define when the market has reached an extreme volatility level, triggering entries and exits.
The strategy also allows users to select which VIX indices to use, with checkboxes to enable or disable each index in the calculation of the combined Z-score.
5. Trade Execution Parameters
• Initial Capital: The strategy assumes an initial capital of $20,000.
• Pyramiding: The strategy does not allow pyramiding (multiple positions in the same direction).
• Commission and Slippage: The commission is set at $0.05 per contract, and slippage is set at 1 tick.
6. Statistical Basis of the Z-Score Approach
The Z-score methodology is a standard technique in statistics and finance, commonly used in risk management and for identifying outliers or unusual events. According to Dumas, Fleming, and Whaley (1998), volatility indices like the VIX serve as a useful proxy for market sentiment, particularly during periods of high uncertainty. By calculating the Z-score, we normalize volatility and quantify the degree to which the current volatility deviates from historical norms, allowing for systematic entry and exit based on these deviations.
7. Implications of the Strategy
This strategy aims to exploit market conditions where volatility has deviated significantly from its historical mean. When the Z-score falls below the threshold, it suggests that the market has become excessively calm, potentially indicating an overreaction to past market events. Entering long positions under such conditions could capture market reversals as fear subsides and volatility normalizes. Conversely, when the Z-score rises above the threshold, it signals increased volatility, which could be indicative of a bearish shift in the market, prompting an exit from the position.
By applying this Z-score normalized approach, the strategy seeks to achieve more consistent entry and exit points by reducing reliance on subjective interpretation of market conditions.
8. Scientific Sources
• Dumas, B., Fleming, J., & Whaley, R. (1998). “Implied Volatility Functions: Empirical Tests”. The Journal of Finance, 53(6), 2059-2106. This paper discusses the use of volatility indices and their empirical behavior, providing context for volatility-based strategies.
• Black, F., & Scholes, M. (1973). “The Pricing of Options and Corporate Liabilities”. Journal of Political Economy, 81(3), 637-654. The original Black-Scholes model, which forms the basis for many volatility-related strategies.
Dhokiya's Research Analyst - Chetan DhokiyaDescription of "Dhokiya's Research Analyst - Chetan Dhokiya"
Overview: The "Dhokiya's Research Analyst" script is designed for traders who want to identify key price levels based on the first 5-minute candle of the trading day. This script operates within the Indian stock market's trading hours, specifically from 9:15 AM to 3:25 PM. It calculates and visualizes upper and lower price levels derived from the closing price of the first 5-minute candle, providing traders with potential support and resistance levels for the day.
Key Features:
Market Timing: The script is programmed to recognize the market's opening and closing times, ensuring that it only operates during active trading hours.
First 5-Minute Candle Identification: The script identifies the first 5-minute candle of the trading day, which is crucial for setting the day's initial price levels.
Dynamic Level Calculation: It calculates two key levels based on the closing price of the first 5-minute candle:
Upper Level: Set at 0.09% above the closing price of the first candle.
Lower Level: Set at 0.09% below the closing price of the first candle.
Visual Representation: The script draws horizontal lines on the chart to represent the upper and lower levels, allowing traders to easily visualize these critical price points. The upper level is indicated with a green line, while the lower level is shown with a red line.
Line Extension: The lines are dynamically extended throughout the trading day until the market closes at 3:25 PM, providing continuous reference points for traders.
How to Use:
Setup: Add the script to your trading platform during the market hours. Ensure that you are viewing a 5-minute chart for optimal results.
Trading Strategy: Use the upper and lower levels as potential entry and exit points. Traders may consider buying near the lower level and selling near the upper level, depending on market conditions and additional analysis.
Risk Management: Always incorporate risk management strategies when trading around these levels, as price action can be volatile.
Underlying Concepts:
The script leverages the concept of the first candle's price action to establish a framework for the day's trading. The rationale is that the initial price movement can set the tone for the rest of the trading day.
By calculating levels slightly above and below the first candle's close, the script aims to capture potential breakout and reversal points, which are critical for day trading strategies.
Conclusion: "Dhokiya's Research Analyst" is a valuable tool for traders looking to enhance their intraday trading strategies. By focusing on the first 5-minute candle and establishing key price levels, this script provides a structured approach to navigating the market's daily fluctuations. Traders are encouraged to combine these levels with other technical analysis tools and indicators for a comprehensive trading strategy.
0.09 Version Strategy Indicator by Dhokiya's Research Analyst
Mobile - 7575065656
Website - dhokiyas.com/
Email - care@dhokiyas.com
Prop Firm Guard: Risk & Sizing Tracker by TFTProp Firm Guard: Risk & Sizing Tracker by TFT
Overview:
This script is designed to help prop firm traders stay within risk rules and avoid emotional overtrading. It tracks your max loss limits, daily loss rules, and gives real-time position sizing suggestions based on your account status.
This tool is especially helpful for newer traders navigating prop firm challenges and rules like trailing drawdowns and daily stopouts.
Key Features:
✅ Real-time tracking of max loss and daily loss limits
✅ Supports both Intraday and End-of-Day (EOD) drawdown styles
✅ Calculates remaining “distance” to max/daily loss levels
✅ Automatically locks max loss once it trails up to starting balance
✅ Provides smart, tier-based position sizing suggestions (5%–50%)
✅ Shows profit target progress and live daily P&L
Use Case Example:
Let’s say you’re trading a $50,000 prop account with a $2,000 max drawdown limit.
If you're using Intraday Drawdown:
• You start the day at $50,000.
• During the day, your balance grows to $51,000 (including unrealized profits).
• The drawdown logic will trail this intraday high — so your new max loss limit becomes $49,000 (51K - 2K).
• If your balance drops to $49,400, this tool will show you’re $400 away from breaching the limit.
• Sizing suggestions will adjust accordingly to keep you in a safe range.
If you're using End-of-Day (EOD) Drawdown:
• The same scenario (account grows to $51,000 intraday) won’t affect your max loss limit immediately.
• EOD drawdown is only updated based on your end-of-day closing balance.
• So even if you hit $51K intraday, your max loss limit still remains at $48,000 (50K - 2K) until the trading day closes and updates your best equity.
• This mode offers more flexibility during the day — and the tool reflects this in how it calculates distances and sizing.
📌 It will then suggest a conservative sizing range — maybe 5–10% of your allowed contract size — until you're safer again.
📌 Make sure you update your current balance after each trade and follow your risk settings.
Inputs Explained (with Tips):
• Overall Account Starting Balance: Your full prop account size (e.g., 50000 or 100000, 150000, 300000, so on)
• Day Start Balance: What your balance was when the trading day started
• Daily Max Loss: How much you’re allowed to lose in one day (used only for EOD drawdown)
• Daily Profit Target: Your goal for the day (e.g., 500 or 1000 or so on)
• Allowed Overall Drawdown: Usually 4% for prop firms — like 2000 on 50K, or 6000 on 300K
• Drawdown Mode:
→ Intraday: Includes floating/unrealized profits in drawdown logic
→ EOD: Uses only end-of-day equity for drawdown logic
• Best Day High: Your highest balance to date. If not above your starting balance, this is ignored
• Intraday High (Manual): Optional override if your peak balance isn’t same as equity (used only for intraday drawdown mode)
• Current Equity: Update this during the session to reflect your live balance — everything else updates automatically
What You’ll See on the Chart:
🟩 Equity Section: Start balance, current balance, intraday high, best day high
🟥 Risk Section:
• Max loss limit (based on trailing logic)
• Distance from current balance to that limit
• Daily loss limit and distance (EOD mode only)
🟦 Performance Metrics:
• Daily P&L in $ and %
• Progress to profit target (shows ✅ Accomplished when goal is hit)
📦 Sizing Suggestion:
Based on how close you are to a drawdown breach, and your total drawdown tier.
Ranges from ⚠️ 5–10% to ✅ 40–50% of your max allowed contract size.
Who It's Best For:
• Built and optimized for 50K prop firm accounts
• Works well with 100K, 150K, or even 300K — but the sizing logic is most precise at 50K
• Best suited for futures or forex prop firm traders using account challenge-style rules
Manual Input Required:
Due to TradingView limitations, we cannot read your actual trades or live balance.
You'll need to update the Current Equity field yourself — but the rest is auto-calculated from there.
Most inputs (like overall balance and drawdown) are set once and rarely changed.
Beta Notice:
This tool is currently in beta and under testing. It's free for now and designed to help the trading community — but accuracy may vary.
Please send feedback if you'd like to suggest improvements or report bugs.
Disclaimer:
This tool is for educational purposes only and does not provide trading advice or signal any trades.
Always trade according to your firm’s rules. The author is not responsible for losses resulting from use of this script.
ATR VolatilityWe know that instruments have different levels of volatility. Therefore, this indicator introduces a table that describes volatility in a simple way. This table inform you for period, change(%), ATR and volatility in the timeframe: day, 4 hours, 1 hour, 30 minutes, 15 minutes and 5 minutes. It is important for you who need to measure volatility simply as a reference for setting a takeprofit and a stoploss.
Stander RSI MomentumDon't sell too early!
Stander Momentum RSI will help you ride the momentum until it's gone and keep you from missing hard earned gains!
We have all bought a volatile stock and sold it for a 12% move, when it continued to 50% gains! It's tempting to take profits before the momentum is dead. Human traders fear both losses, and giving back gains. This is natural. We need to act not natural to be successful traders.
The beauty of this is it's very simple. So simple you can not look at the price action. This cuts the action in half: either bullish momentum, or bearish momentum.
1. Set the timefame per bar on your chart
2. If you are long hold while Stander RSI remains Green, for *your* timeframe
(see below for timeframes)
3. If you are short, hold while Stander RSI remains Red, for your timeframe
For example, if my setup is on a 15 minute chart and I'm in the trade, on a pullback to neutral (50), I may add to the trade. I am not watching smaller timeframes.
Example Time Frames
----------------------
1 minute for the true scalper. Even in the craziest,
most volatile environment, you can find
trends to trade on a 1 minute chart. Hold long while Stander RSI is green
7, 9, 15, 65 minutes - ideal for day trading
78 minutes
(1/4 trading day session) good for 2-5 day swing trades
195 minutes
(1/2 session) good to hold for 2+ days
I want this green if I intend to hold a new trade overnight
1 Week
My recommended timeframe for investors
Consider reducing the position or selling it when Stander RSI is red.
Buy back when Stander RSI is green
Note: 2025 Feb-April correction, Stander RSI flipped red at SPX 5800, and
and the most recent low was 4830! You would have < 5% loss,
instead of the 20% low
1 Month - Usually a bear market is under weigh if Stander RSI is red on this timeframe!
As of April 10, 2025 this correction just went red
1 Quarter (3 months) - Only red in a serious bear market
Automatic Position Size Tool @aqerez📈 Automatic Position Size & Risk Calculator
This indicator is designed to help crypto traders accurately size their positions based on dollar risk, stop loss distance, and customizable trading fees — all directly on the chart.
designed by (IG): @aqerez
✅ Key Features:
- Drag-and-drop Entry & Stop Loss levels
- Visually place your trade levels without typing
- Live Position Size Calculation
- Automatically calculates the exact position size to match your desired risk in USD
- Supports Trading Fees
- Enter custom entry and exit fees (%); fees are factored into the size calculation
- Risk-to-Reward Ratio
- Auto-updates based on your TP and SL positions
- Leverage Estimator
- Instantly see the required leverage for your position based on your account size
- Clean On-Chart Display
- Entry price (rounded), position size, R:R, and required leverage are displayed in a floating label
- Fully Customizable
- Change risk, fees, minimum size, and allowed deviation through the indicator settings
🧠 Perfect For:
- Scalpers and day traders managing tight risk
- Futures traders who need precise sizing with leverage
- Anyone who wants to eliminate manual risk calculations while trading crypto
🛠 Settings Include:
- Entry and Stop Loss prices
- Account (portfolio) size
- Desired risk in USD
- Entry & Exit fee percentages
This tool was built to help you trade like a pro by keeping your risk consistent and your sizing precise — no spreadsheets or external calculators needed.
Blended Net Liquidity CorrelationThis indicator visualizes a customizable net liquidity metric based on key U.S. Federal Reserve and Treasury data from FRED. It allows users to blend two liquidity models:
• With WALCL: Incorporates the Fed’s total balance sheet (WALCL) — ideal for capturing long-term structural liquidity from QE/QT.
• Without WALCL: Excludes the balance sheet and focuses on short-term operational flows like RRP, TGA, BTFP, and commercial lending.
Use the “Weight on WALCL” slider to find your optimal blend. A setting of 1.0 uses only WALCL, 0.0 uses only short-term flows, and any value in between gives a mix.
The indicator also calculates the correlation between net liquidity and price over various timeframes:
• 30D, 60D, 90D, 180D
• 1Y, 1.5Y, 2Y
• A custom length (default 3 years)
Portfolio ValueDisplays the value of your portfolio based on the most recent closing price. This indicator allows you to also enter your break-even value on your position. The label on the last bar of the indicator will display the portfolio value, the percent change from the current bar to the previous bar, and the percent change from the current bar to your break-even value.
Currently, the script is set up for 34 symbols, with corresponding position sizes.
Correlation Heatmap█ OVERVIEW
This indicator creates a correlation matrix for a user-specified list of symbols based on their time-aligned weekly or monthly price returns. It calculates the Pearson correlation coefficient for each possible symbol pair, and it displays the results in a symmetric table with heatmap-colored cells. This format provides an intuitive view of the linear relationships between various symbols' price movements over a specific time range.
█ CONCEPTS
Correlation
Correlation typically refers to an observable statistical relationship between two datasets. In a financial time series context, it usually represents the extent to which sampled values from a pair of datasets, such as two series of price returns, vary jointly over time. More specifically, in this context, correlation describes the strength and direction of the relationship between the samples from both series.
If two separate time series tend to rise and fall together proportionally, they might be highly correlated. Likewise, if the series often vary in opposite directions, they might have a strong anticorrelation . If the two series do not exhibit a clear relationship, they might be uncorrelated .
Traders frequently analyze asset correlations to help optimize portfolios, assess market behaviors, identify potential risks, and support trading decisions. For instance, correlation often plays a key role in diversification . When two instruments exhibit a strong correlation in their returns, it might indicate that buying or selling both carries elevated unsystematic risk . Therefore, traders often aim to create balanced portfolios of relatively uncorrelated or anticorrelated assets to help promote investment diversity and potentially offset some of the risks.
When using correlation analysis to support investment decisions, it is crucial to understand the following caveats:
• Correlation does not imply causation . Two assets might vary jointly over an analyzed range, resulting in high correlation or anticorrelation in their returns, but that does not indicate that either instrument directly influences the other. Joint variability between assets might occur because of shared sensitivities to external factors, such as interest rates or global sentiment, or it might be entirely coincidental. In other words, correlation does not provide sufficient information to identify cause-and-effect relationships.
• Correlation does not predict the future relationship between two assets. It only reflects the estimated strength and direction of the relationship between the current analyzed samples. Financial time series are ever-changing. A strong trend between two assets can weaken or reverse in the future.
Correlation coefficient
A correlation coefficient is a numeric measure of correlation. Several coefficients exist, each quantifying different types of relationships between two datasets. The most common and widely known measure is the Pearson product-moment correlation coefficient , also known as the Pearson correlation coefficient or Pearson's r . Usually, when the term "correlation coefficient" is used without context, it refers to this correlation measure.
The Pearson correlation coefficient quantifies the strength and direction of the linear relationship between two variables. In other words, it indicates how consistently variables' values move together or in opposite directions in a proportional, linear manner. Its formula is as follows:
𝑟(𝑥, 𝑦) = cov(𝑥, 𝑦) / (𝜎𝑥 * 𝜎𝑦)
Where:
• 𝑥 is the first variable, and 𝑦 is the second variable.
• cov(𝑥, 𝑦) is the covariance between 𝑥 and 𝑦.
• 𝜎𝑥 is the standard deviation of 𝑥.
• 𝜎𝑦 is the standard deviation of 𝑦.
In essence, the correlation coefficient measures the covariance between two variables, normalized by the product of their standard deviations. The coefficient's value ranges from -1 to 1, allowing a more straightforward interpretation of the relationship between two datasets than what covariance alone provides:
• A value of 1 indicates a perfect positive correlation over the analyzed sample. As one variable's value changes, the other variable's value changes proportionally in the same direction .
• A value of -1 indicates a perfect negative correlation (anticorrelation). As one variable's value increases, the other variable's value decreases proportionally.
• A value of 0 indicates no linear relationship between the variables over the analyzed sample.
Aligning returns across instruments
In a financial time series, each data point (i.e., bar) in a sample represents information collected in periodic intervals. For instance, on a "1D" chart, bars form at specific times as successive days elapse.
However, the times of the data points for a symbol's standard dataset depend on its active sessions , and sessions vary across instrument types. For example, the daily session for NYSE stocks is 09:30 - 16:00 UTC-4/-5 on weekdays, Forex instruments have 24-hour sessions that span from 17:00 UTC-4/-5 on one weekday to 17:00 on the next, and new daily sessions for cryptocurrencies start at 00:00 UTC every day because crypto markets are consistently open.
Therefore, comparing the standard datasets for different asset types to identify correlations presents a challenge. If two symbols' datasets have bars that form at unaligned times, their correlation coefficient does not accurately describe their relationship. When calculating correlations between the returns for two assets, both datasets must maintain consistent time alignment in their values and cover identical ranges for meaningful results.
To address the issue of time alignment across instruments, this indicator requests confirmed weekly or monthly data from spread tickers constructed from the chart's ticker and another specified ticker. The datasets for spreads are derived from lower-timeframe data to ensure the values from all symbols come from aligned points in time, allowing a fair comparison between different instrument types. Additionally, each spread ticker ID includes necessary modifiers, such as extended hours and adjustments.
In this indicator, we use the following process to retrieve time-aligned returns for correlation calculations:
1. Request the current and previous prices from a spread representing the sum of the chart symbol and another symbol ( "chartSymbol + anotherSymbol" ).
2. Request the prices from another spread representing the difference between the two symbols ( "chartSymbol - anotherSymbol" ).
3. Calculate half of the difference between the values from both spreads ( 0.5 * (requestedSum - requestedDifference) ). The results represent the symbol's prices at times aligned with the sample points on the current chart.
4. Calculate the arithmetic return of the retrieved prices: (currentPrice - previousPrice) / previousPrice
5. Repeat steps 1-4 for each symbol requiring analysis.
It's crucial to note that because this process retrieves prices for a symbol at times consistent with periodic points on the current chart, the values can represent prices from before or after the closing time of the symbol's usual session.
Additionally, note that the maximum number of weeks or months in the correlation calculations depends on the chart's range and the largest time range common to all the requested symbols. To maximize the amount of data available for the calculations, we recommend setting the chart to use a daily or higher timeframe and specifying a chart symbol that covers a sufficient time range for your needs.
█ FEATURES
This indicator analyzes the correlations between several pairs of user-specified symbols to provide a structured, intuitive view of the relationships in their returns. Below are the indicator's key features:
Requesting a list of securities
The "Symbol list" text box in the indicator's "Settings/Inputs" tab accepts a comma-separated list of symbols or ticker identifiers with optional spaces (e.g., "XOM, MSFT, BITSTAMP:BTCUSD"). The indicator dynamically requests returns for each symbol in the list, then calculates the correlation between each pair of return series for its heatmap display.
Each item in the list must represent a valid symbol or ticker ID. If the list includes an invalid symbol, the script raises a runtime error.
To specify a broker/exchange for a symbol, include its name as a prefix with a colon in the "EXCHANGE:SYMBOL" format. If a symbol in the list does not specify an exchange prefix, the indicator selects the most commonly used exchange when requesting the data.
Note that the number of symbols allowed in the list depends on the user's plan. Users with non-professional plans can compare up to 20 symbols with this indicator, and users with professional plans can compare up to 32 symbols.
Timeframe and data length selection
The "Returns timeframe" input specifies whether the indicator uses weekly or monthly returns in its calculations. By default, its value is "1M", meaning the indicator analyzes monthly returns. Note that this script requires a chart timeframe lower than or equal to "1M". If the chart uses a higher timeframe, it causes a runtime error.
To customize the length of the data used in the correlation calculations, use the "Max periods" input. When enabled, the indicator limits the calculation window to the number of periods specified in the input field. Otherwise, it uses the chart's time range as the limit. The top-left corner of the table shows the number of confirmed weeks or months used in the calculations.
It's important to note that the number of confirmed periods in the correlation calculations is limited to the largest time range common to all the requested datasets, because a meaningful correlation matrix requires analyzing each symbol's returns under the same market conditions. Therefore, the correlation matrix can show different results for the same symbol pair if another listed symbol restricts the aligned data to a shorter time range.
Heatmap display
This indicator displays the correlations for each symbol pair in a heatmap-styled table representing a symmetric correlation matrix. Each row and column corresponds to a specific symbol, and the cells at their intersections correspond to symbol pairs . For example, the cell at the "AAPL" row and "MSFT" column shows the weekly or monthly correlation between those two symbols' returns. Likewise, the cell at the "MSFT" row and "AAPL" column shows the same value.
Note that the main diagonal cells in the display, where the row and column refer to the same symbol, all show a value of 1 because any series of non-na data is always perfectly correlated with itself.
The background of each correlation cell uses a gradient color based on the correlation value. By default, the gradient uses blue hues for positive correlation, orange hues for negative correlation, and white for no correlation. The intensity of each blue or orange hue corresponds to the strength of the measured correlation or anticorrelation. Users can customize the gradient's base colors using the inputs in the "Color gradient" section of the "Settings/Inputs" tab.
█ FOR Pine Script® CODERS
• This script uses the `getArrayFromString()` function from our ValueAtTime library to process the input list of symbols. The function splits the "string" value by its commas, then constructs an array of non-empty strings without leading or trailing whitespaces. Additionally, it uses the str.upper() function to convert each symbol's characters to uppercase.
• The script's `getAlignedReturns()` function requests time-aligned prices with two request.security() calls that use spread tickers based on the chart's symbol and another symbol. Then, it calculates the arithmetic return using the `changePercent()` function from the ta library. The `collectReturns()` function uses `getAlignedReturns()` within a loop and stores the data from each call within a matrix . The script calls the `arrayCorrelation()` function on pairs of rows from the returned matrix to calculate the correlation values.
• For consistency, the `getAlignedReturns()` function includes extended hours and dividend adjustment modifiers in its data requests. Additionally, it includes other settings inherited from the chart's context, such as "settlement-as-close" preferences.
• A Pine script can execute up to 40 or 64 unique `request.*()` function calls, depending on the user's plan. The maximum number of symbols this script compares is half the plan's limit, because `getAlignedReturns()` uses two request.security() calls.
• This script can use the request.security() function within a loop because all scripts in Pine v6 enable dynamic requests by default. Refer to the Dynamic requests section of the Other timeframes and data page to learn more about this feature, and see our v6 migration guide to learn what's new in Pine v6.
• The script's table uses two distinct color.from_gradient() calls in a switch structure to determine the cell colors for positive and negative correlation values. One call calculates the color for values from -1 to 0 based on the first and second input colors, and the other calculates the colors for values from 0 to 1 based on the second and third input colors.
Look first. Then leap.
JCAC Time Segments15-Minute Segment Indicator
This custom TradingView indicator divides the trading day into clear 15-minute segments, helping traders visualize intraday price action with precision. Ideal for scalpers and day traders, it enhances timing, structure recognition, and session-based analysis.
TP/SL Percentage & RR Visual Tool📊 TP/SL Percentage & RR Visual Tool
This advanced trading indicator is designed to enhance your decision-making process by visually displaying dynamic risk-to-reward (RR) levels, trend conditions, and market signals directly on your chart. Whether you're scalping or swing trading, this tool gives you real-time insight into trade opportunities with built-in logic from the UT Bot.
🧠 Key Features:
TP/SL Levels: Automatically plots up to 3 customizable take-profit and stop-loss levels based on percentage.
Risk-to-Reward Visualization: Clearly displayed entry, TP, and SL zones to help manage risk and improve trade planning.
UT Bot Alerts Logic: Smart entry and exit signals using UT Bot crossover logic with optional Heikin Ashi candle filtering.
Trend Strength Meter: Detects market structure and trend direction using multi-timeframe EMAs (20 vs 50 EMA).
Volatility Indicator: Shows high or low volatility zones using ATR with a 100-period average benchmark.
Session Dashboard: Includes real-time trend analysis across 5m, 15m, 1h, 4h, and 1D timeframes.
Price Action Signals: Detects bullish and bearish engulfing patterns.
Customizable EMA Overlay: Plot EMA 20, 50, 100, and 200 directly on the chart.
Dynamic Table Display: Summarizes all key data points in a fixed-position, Excel-style table for quick reference.
🔧 Fully Customizable:
TP/SL percentages and line styles
EMA lengths and colors
Table placement
Heikin Ashi logic toggle
Volatility and trend sensitivity
CME Price Limits (Futures Prop Firm Rule)This indicator shows the CME Price Limit, combined with a safety distance that is used by several futures prop firms. Trading in the highlighted area means a rule violation for many Futures prop firm accounts.
The levels are calculated from the "Settlement as close" closing price of the previous daily candle.
Live Risk/Reward Lines (Dynamic Update: Tick or Bar Close)This script displays dynamic Risk and Reward target lines directly on the chart.
You can choose whether the updates happen live with each price tick or only once a bar closes.
It supports both long and short trading directions, with customizable risk and reward percentages.
Key Features:
Dynamic live updates (per tick or per bar close).
Choose Long or Short trade direction.
Customize risk and reward percentages individually.
Adjustable line length and color.
Option to show or hide risk and reward lines.
How It Works:
For long trades: Risk = Close Price * (1 - Risk %), Reward = Close Price * (1 + Reward %).
For short trades: Risk = Close Price * (1 + Risk %), Reward = Close Price * (1 - Reward %).
Lines are automatically centered around the current bar.
Why It Is Unique:
Unlike static risk/reward indicators, this script allows traders to see real-time dynamic changes based on the latest tick or bar close.
It offers full flexibility for scalpers and swing traders by allowing manual control over update timing and visualization style.
Usage Instructions:
Select your trade direction (Long or Short) from the settings.
Set your preferred risk and reward percentages.
Choose whether lines should update with every tick or only on bar close.
Optionally adjust the length and colors of the lines.
Important:
The script focuses on visualizing risk and reward directly on the price chart without giving buy or sell signals.
Disclaimer:
This tool is intended for educational and informational purposes only and should not be considered financial advice.
🧮Calculadora de Entrada/ApalancamientoThis tool automatically calculates the required position size and leverage for a trade based on the user's defined risk amount, stop loss percentage, and capital allocated for the operation.
📊 It displays the following data in a clean table at the bottom-right corner of the chart:
🟨 Required position size
⚡ Leverage needed
💰 Capital used in the trade
🟥 Risk amount per trade
Perfect for traders who manage their capital and risk with precision.
Values update automatically every few candles.
💡 Recommended for traders using fixed risk management strategies (% of capital) and who want a quick visual reference for executing safe and efficient trades.
Circuit Breaker - MFFUThis Indicator Is Used To Protect User From Over Trading After Market Hit The Circuit Breakers.
The CME Exchange Usually Halts Trading If Market Hit + or - 7%.
To Protect Users From Extreme Volatile Condition MFFU, Halts Trading If Market Hits + or - 5%.
This Indicator helps us to plot the circuit breaking lines helping us to when to stop trading.
Myriad | OpusTechnical Indicator Overview
The Myriad | Opus (Overlay Edition) is a powerful portfolio management tool that overlays equity curves and trade signals directly on your price chart. It evaluates SOL, BTC, and ETH using a composite trend-scoring system, dynamically allocates capital, and compares performance against a Bitcoin HODL benchmark. Enhanced with glow effects, customizable dashboards, and JSON-based alerts, this indicator offers traders a comprehensive view of market regimes and system performance.
Key Features 🌟
Overlay Equity Curves: Displays system and BTC HODL equity curves on the price chart with optional multi-layer glow effects.
Multi-Asset Trend Analysis: Ranks SOL, BTC, and ETH based on a blend of technical indicators and relative strength scores.
Dynamic Allocation: Distributes capital evenly among top-performing assets when bullish, reverting to cash during neutral conditions.
Flexible Dashboard: Choose between a Signal-Focused table for quick insights or a Detailed table with metrics like Sharpe, Sortino, and Max Drawdown.
JSON Alerts: Sends structured notifications via webhook (e.g., Discord) when the system state or dominant assets change, including performance metrics.
Usage Guidelines 📋
Bullish Allocation: Invest in assets (SOL, BTC, ETH) when their trend scores peak and the system state switches to "ON," tracked via the equity curve and table.
Cash Mode: Hold cash when no assets meet bullish criteria, indicated by "CASH" in the dashboard and a flat system equity curve.
Performance Comparison: Compare the system equity curve (long color) to the BTC HODL curve (short color) to evaluate outperformance.
Alert Monitoring: Use JSON alerts to receive real-time updates on system state changes or shifts in dominant assets, ideal for automated workflows.
Customizable Settings ⚙️
Table Position: Select from Top Left, Middle Right, Bottom Center, etc., to position the dashboard on the chart.
Table Style: Opt for Signal-Focused for a concise signal view or Detailed for full backtesting metrics.
Color Theme: Choose from Synthwave, Origins, Outrun, Lush, Eighties, Sapphire, or Scarlet Blues for a tailored aesthetic.
Glow Effect: Enable/disable glow on equity curves and adjust intensity (1-10) for visual enhancement.
Start Date: Set the analysis start date (default: January 1, 2018) to define the backtest period.
Applications 🌍
The Myriad | Opus (Overlay Edition) is perfect for traders and portfolio managers who want to visualize portfolio performance directly on their charts while staying informed via real-time alerts. Its robust trend analysis, dynamic allocation, and risk-adjusted metrics make it ideal for crypto trading strategies and performance benchmarking—all under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) © 2025 Opus Capital.
Technical Methodology (Bonus Section) 🔍
Trend Scoring: Aggregates smoothed outputs from multiple indicators (e.g., SAURYA2, VALOREM) and calculates relative strength against SOL, BTC, and ETH.
Asset Selection: Ranks assets by trend score, allocating capital to those with the highest scores and positive signals; ties split weighting evenly.
Equity Tracking: Computes system equity based on daily returns of selected assets, overlaid with a BTC HODL equity curve from the same starting capital.
Performance Metrics: Calculates Sharpe, Sortino, Omega, and Max Drawdown, adjusted for timeframe, displayed in the Detailed table.
Alert System: Triggers JSON-formatted alerts on system state changes (OFF to ON) or asset shifts, embedding metrics and timestamps for external integration.
50 EMA Crossover With Monthly DCARecommended Chart Interval = 1W
Overview:
This strategy combines trend-following principles with dollar-cost averaging (DCA), aiming to efficiently deploy capital while minimizing market timing risk.
How It Works:
When the Long Condition is Not Met (i.e., Price < 50 EMA):
- If the price is below the 50 EMA, a fixed DCA amount is added to a cash reserve every month.
- This ensures that capital is consistently accumulated, even when the strategy isn't in a long position.
When the Long Condition is Met (i.e., Price > 50 EMA):
- A long position is opened when the price is above the 50 EMA.
- At this point, the entire capital, including the accumulated cash reserve, is deployed into the market.
- While the strategy is long, a DCA buy order is placed every month using the set DCA amount, continuously investing as the market conditions allow.
Exit Strategy:
If the price falls below the 50 EMA, the strategy closes all positions, and the cash reserve accumulation process begins again.
Key Benefits:
✔ Systematic Investing: Ensures consistent capital deployment while following trend signals.
✔ Cash Efficiency: Accumulates uninvested funds when conditions aren’t met and deploys them at optimal moments.
✔ Risk Management: Exits when the price trend weakens, protecting capital.
Conclusion:
This method allows for efficient capital growth by combining a trend-following approach with disciplined DCA, ensuring risk is managed while capital is deployed systematically at optimal points in the market. 🚀
Z3N EMA + Candles + LinesIndicator crafted by traders for traders, this tool serves as the guide of your 15-minute chart. It enables you to scalp trades hourly while effectively managing risk and generating profits in the market.
BB Sidecar CalculatorBB Sidecar Calculator
Visual trade planner and dynamic risk-to-reward tool
Overview
The BB Sidecar Calculator is a precision planning tool designed to help traders visualize risk, reward, and position sizing directly on their charts. By inputting basic trade parameters, the indicator calculates stop-loss distance, potential profit targets in R multiples, and total dollar risk or gain based on the instrument type and lot size. It supports a wide range of assets including futures, forex, and equities.
Features
• Manually input or click-to-place entry and stop levels directly on the chart
• Drag and adjust levels dynamically with real-time updates to targets and risk values
• Automatic detection of long or short direction based on entry vs. stop placement
• Supports optional Max Dollar Risk setting to cap trade risk based on your account limits
• Configurable number of R-multiple targets (1R to 10R)
• Instrument-aware calculations with pip support for forex and point-based logic for stocks and futures
• Adjustable label display with configurable text size, color, and price precision
• Customizable currency symbol to match your account denomination
How to Use
1. When you first add the indicator, click on the chart to place your Entry and Stop levels.
2. The indicator will automatically determine whether the trade is Long or Short.
3. Drag either level up or down to adjust your setup visually.
4. Set your Lot Size and optionally define a Max $ Risk value.
5. The indicator will display:
• Entry line with lot size label
• Stop line with dollar risk and distance
• Up to 10 risk-multiple profit targets (1R, 2R, etc.)
Max Risk Logic
When a value is entered for Max $ Risk, the indicator calculates the maximum price difference you can afford based on your lot size and instrument type. It will then:
• Calculate a stop-loss price that aligns with your risk cap
• Compare this with the user-defined stop price
• Select the more conservative stop (the one with less dollar risk)
• Display updated profit targets based on the selected stop level
For forex pairs, pip value and pip size are accounted for in risk calculations. For stocks and futures, point value is used.
If Max $ Risk is set to 0, the indicator uses your manually defined stop price exclusively.
Notes
• Labels and visuals are rendered only on the latest bar for clarity
• Supports various decimal precision levels for accurate price formatting
• Designed for use in planning, not live trade execution
• Works across multiple timeframes and instrument types
Automated Lot Size Calculator // © Laurent3372
The "Automated Lot Size Calculator" is a sophisticated tool for traders who want to calculate the ideal position size based on their capital, risk, and the asset pair they wish to trade. Here is a detailed description of its features:
1. Language Selector
You can select the interface language (French, English, Spanish, German, or Italian). This makes the tool accessible and understandable to an international audience.
2. User Settings for Risk Calculation
The risk percentage per trade is configurable. The entered percentage is divided by 100 to obtain a fraction (for example, 1% becomes 0.01).
3. Selection of Equity in USD or EUR
The user chooses whether their equity is in US dollars or euros. Based on this choice, the calculation is based on the appropriate value.
A field for entering equity is available for both currencies, with a default initial amount. 4. Stop Loss in Pips
The stop loss can be entered in decimal places (such as 2.8 pips), allowing for high precision in risk calculations.
5. Interface Color Customization
You can configure the text and background colors for headers, values, and other visual elements, allowing you to customize the display.
6. Display Table Position and Size
You can choose the table location (top right, top left, bottom right, bottom left) as well as the display size (extra small, small, normal, large, extra large).
7. Asset Pair Detection and Pip Value
The code automatically detects the financial instrument (currency, crypto, precious metal) and adjusts the pip value according to the asset's characteristics. For example:
For JPY pairs, the pip is 0.01.
For cryptocurrencies, the pip is adjusted to 0.01.
For precious metals such as gold and silver, specific adjustments are also made.
8. Retrieving real-time exchange rates
The script uses the request.security function to retrieve real-time exchange rates for currencies or cryptocurrencies.
The code automatically adapts according to the trading pair and retrieves the appropriate rate (e.g., EUR/GBP, BTC/USD).
9. Calculating the risk amount in USD or EUR
The risk is calculated based on the selected capital (USD or EUR).
If the capital is in euros, it is converted to USD to simplify lot calculations.
10. Calculating position sizes in standard lots
The formula for calculating position sizes varies depending on the asset:
EUR/GBP is calculated with a specific adjustment.
Precious metals and cryptocurrencies have their own adapted formulas.
Exotic currencies incorporate a special conversion factor, taking into account pairs with more than two decimal places. 11. Lot Type Definition
The lot type is automatically adjusted according to the asset: "Micro Lot", "Standard Lot", or "Exotic Lot".
12. Results Display with Dynamic Translation
The results (currency, equity, risk, lot type, and size) are displayed in real time and automatically translated into the selected language.
The left column contains the parameters, and the right column displays the corresponding values.
13. Dynamically Creating the Results Table
The table is dynamically created using the specified position and size options. It contains all essential information, such as currency, equity, risk, and position size in lots.
Conclusion:
This script allows traders to automatically calculate their ideal position size by taking into account the currency, desired risk, and asset-specific parameters (such as cryptocurrencies and metals). Thanks to its customization options and automatic translations, it is suitable for global use, regardless of user profile.
