SMAgainSMAgain in ProfitTrailer is the strategy using the spread difference between the price and combination of fast SMA and slow SMA.
Buy value and time frame numbers are from popular setting, which can be modified in format.
If you set buy value positive for gain starategy, it is mostly between the price and slow SMA except one or two candle right after cross (sometimes three candles). In the time point indicated by "▲", the trailing for buy will start.
If you set buy value negative for gain starategy, it is mostly between the price and fast SMA except one or two candle right after cross (sometimes three candles). In the time point indicated by "▼", the trailing for buy will start.
This script is to help myself understand the buy strategies of ProfitTrailer.
Any comments and suggestions are welcome.
Wyszukaj w skryptach "profit"
SMAgain vs EMAgain for ProfitTrailerSMAgain or EMAgain in ProfitTrailer is the strategy using the spread difference between the price and combination of fast MA and slow MA.
Time frame numbers are from popular settings.
If you have positive buy value for gain starategy, it is mostly between the price and slow MA except one or two candle right after cross (sometimes three candles).
If you have negative buy value for gain starategy, it is mostly between the price and fast MA except one or two candle right after cross (sometimes three candles).
This script is to help myself understand the buy strategies of ProfitTrailer.
Any comments and suggestions are welcome.
EMASPREAD - SMASPREAD - EMAGAIN - SMAGAIN for profit trailerYou can turn on and off EMASPREAD - SMASPREAD - EMAGAIN - SMAGAIN
Play with the different indicators and see how it will affect the buy trigger.
Trailing is not implemented!
This is still a work in progress. Please leave a comment if you are liking what you see :)
Trend-following Microprofit w/ Smart DCA + Profit Plot + AlertsThis alert script is oriented towards automated trading with Gunbot.
I call it "Options Galore" because of all the user-configurable settings it offers for up-trending and down-trending markets. (See: " Market Tone " study).
A strategy script for quantitative backtesting, smarter buy/sell indicator such as TSI or Stoch RSI, and stop loss/trailing stop are all in the pipeline. Please share any other suggestions in the comments!
Features:
Set backtesting range, or start forward testing from the current time. Historical Renko charts can lead to repainting, which is avoided by keeping the chart open in your browser and running with real time data.
Average protection: only buy if price drops by a certain % below your average price -- can be automatically toggled by market trender if we want to continue buying during an uptrend. This reduces net profit but increases gross profit.
Gain protection: only sell if price is a certain % above your average price -- can be automatically toggled by market trender. Wait for larger profits in an uptrend, but sell earlier in a down trend.
Minimum percent gain can also be set to a negative value to allow selling at a loss. This is not true stop loss behavior, we still need a sell signal from the indicator. This means we will try to get the best price above your price floor, but in some rare situations we may not sell before the price drops below your price floor.
Position plotter: plots average long position price relative to current price.
Plot loss level: plots average price - loss %. With pyramiding turned off, this can be used to find out where to set your stop loss.
This script is free to use, just comment or PM for access. It is mainly meant to showcase some new features, and is only safe to use in carefully selected markets such as USDT-BTC.
Stay posted for upcoming scripts with smarter signaling and additional features! If you would like to add these features to your own preferred strategy, please PM me.
Cash and Carry Strategy and Profit ExpectationCash and Carry Strategy and Profit Expectation
In contemporary finance, price discrepancies between spot markets and futures markets represent a significant source of profit opportunities. One of the most established and widely utilized methods of arbitrage to exploit these discrepancies is the Cash and Carry Strategy. This approach is not speculative in nature, but rather market-neutral, grounded in the principle that the spot price and the futures price of an asset must converge upon the expiration of the futures contract.
The essence of the strategy lies in simultaneously purchasing the underlying asset in the spot market and selling an equivalent position in the futures market. By doing so, the investor holds the physical or underlying asset while securing a predetermined selling price through the futures contract. The difference between the futures price and the spot price at the inception of the trade—referred to as the carry spread—becomes the expected profit of the strategy.
Because the spot position and the futures position are of equal size but opposite direction, the investor is largely insulated from fluctuations in the underlying asset’s price. Any losses incurred in the spot position due to price declines are offset by corresponding gains in the futures position, and vice versa. The net result is a locked-in profit equal to the carry spread, provided that costs are properly accounted for. For this reason, the Cash and Carry is categorized as a market-neutral strategy, attractive to institutional investors and funds seeking stable, predictable returns while minimizing exposure to volatility.
In practice, however, the realized profit depends on more than the raw spread between futures and spot. Transaction costs, exchange commissions, and financing expenses must all be deducted from the gross profit. In many cases, these costs can erode, or even entirely eliminate, the arbitrage margin. Careful calculation and capital management are therefore essential for effective implementation.
Beyond its profit potential, the Cash and Carry strategy also plays a systemic role in maintaining market efficiency. When futures contracts are overpriced relative to their theoretical fair value, arbitrageurs enter into Cash and Carry positions, which exert downward pressure on the futures price and upward pressure on the spot price. This process restores equilibrium, ensuring consistency with the Law of One Price, which states that identical assets should not persistently trade at different prices. Thus, the strategy not only benefits individual investors but also contributes to the overall stability and fairness of financial markets.
In conclusion, the Cash and Carry strategy exemplifies how arbitrage can serve as both a tool for profit generation and a mechanism of systemic balance. It demonstrates that investors need not rely on forecasting the direction of markets to achieve returns; rather, they can profit from temporary inefficiencies in price structures. Ultimately, the strategy’s significance lies not only in its ability to secure predictable profit through the carry spread but also in its broader contribution to the efficiency and stability of global financial systems.
TitanFlow Position CalculatorTitanFlow Position Calculator - Professional Risk Management Tool
Transform your trading with precision position sizing and advanced risk management
The TitanFlow Position Calculator is a comprehensive Pine Script indicator designed for serious traders who demand professional-grade risk management tools. Whether you're trading forex, commodities, indices, or crypto, this calculator ensures you never risk more than intended while maximizing your profit potential.
🎯 Key Features:
SMART POSITION SIZING
Automatic lot size calculation based on your risk parameters
Support for percentage risk, fixed amount, or losing streak buffer modes
Real-time position size updates as market conditions change
Double-up mode for aggressive trading strategies
MULTI-ASSET SUPPORT
Pre-configured settings for Forex Major/Minor pairs
Commodities: Gold, Silver, Oil with accurate pip values
Stock indices with proper contract specifications
Cryptocurrency trading support
Custom instrument configuration for any asset
ADVANCED RISK MANAGEMENT
Visual risk level categorization (Conservative, Moderate, Aggressive, Extreme)
Color-coded risk warnings with threshold alerts
Margin requirement calculations with leverage integration
Take profit level planning with lot distribution
PROFESSIONAL THEMES
TitanFlow Dark theme matching the professional trading platform
TitanFlow Light theme for bright chart environments
Classic dark/light themes for traditional traders
Full custom colour control for personalized setups
COMPREHENSIVE LEVERAGE SUPPORT
Complete leverage options from 1:1 to 1:500 including:
1:1, 1:10, 1:15, 1:20, 1:30, 1:50, 1:100, 1:200, 1:300, 1:400, 1:500
📊 What You'll See:
REAL-TIME CALCULATIONS
Position size in lots displayed prominently
Risk level percentage with color coding
Margin requirements in your account currency
Stop loss distance in pips
Take profit distribution across multiple levels
CLEAN INFORMATION TABLE
Account balance and currency display
Current risk amount being wagered
Calculated position size and margin needs
Risk categorization with visual indicators
Leverage ratio confirmation
SMART ALERTS
Extreme risk warnings (>5% per trade)
Large position alerts (>10 lots)
High margin usage notifications (>50% account)
Real-time risk assessment updates
🚀 Take Your Trading Further with TitanFlow
Want more than just position sizing?
Visit titanflow.co.uk to discover the complete TitanFlow trading ecosystem:
✅ Advanced Trading Dashboard - Comprehensive portfolio tracking and analytics
✅ Trade Journal Integration - Log and analyze every trade automatically
✅ AI-Powered Coaching - Get personalized trading insights and recommendations
✅ Monthly Performance Reports - Detailed analytics delivered to your inbox
✅ Risk Management Suite - Professional tools for serious traders
✅ Trading Calendar - Never miss important market events
✅ Community Access - Connect with successful traders worldwide
Special Offer: TradingView users get exclusive access to premium features. Transform your trading from guesswork to systematic success. coming soon
🎨 Customization Options:
Theme Selection
Choose from 5 professional themes
Customize every colour element
Match your chart aesthetic perfectly
Professional branding options
Display Controls
Position table in any corner
Show/hide alerts and warnings
Adjustable text sizes
Clean, distraction-free interface
💡 Perfect For:
Day Traders who need quick position sizing decisions
Swing Traders planning multi-level exits
Scalpers requiring precise risk control
Portfolio Managers overseeing multiple accounts
Risk Managers monitoring exposure levels
Trading Educators teaching proper risk management
🚀 How to Use:
Set Your Account - Enter balance and currency
Choose Risk Mode - Percentage (recommended 1-2%), fixed amount, or losing streak buffer
Configure Instrument - Select asset type or use custom settings
Set Stop Loss - Enter your stop distance in pips
Read Results - Get instant position size and risk analysis
⚠️ Risk Management Excellence:
This calculator embodies the core principle that successful trading is about risk management, not just profit hunting. By using proper position sizing, you'll:
Survive losing streaks with capital intact
Compound profits systematically
Sleep better knowing your risk is controlled
Build consistent trading habits
Protect your trading capital long-term
Ready to elevate your entire trading operation? Start with this position calculator, then visit titanflow.co.uk to unlock the full potential of systematic, professional trading.
This indicator is part of the TitanFlow trading ecosystem. titanflow.co.uk coming soon here you'll be able to obtain the complete professional trading platform.
Adaptive HMA Trendfilter & Profit SpikesShort Description
Adaptive trend-following filter using Hull Moving Average (HMA) slope.
Includes optional Keltner Channel entries/exits and dynamic spike-based take-profit markers (ATR/Z-Score).
Optional Fast HMA for early entry visualization (not included in logic).
USER GUIDE:
1) Quick Overview
Trend Filter: Slow HMA defines Bull / Bear / Sideways (via slope & direction).
Entries / Exits:
Entry: Color change of the slow HMA (red→green = Long, green→red = Short), optionally filtered by the Keltner basis.
Exit: Preferably via Keltner Band (Long: Close under Upper Band; Short: Close above Lower Band).
Fallback: exit on opposite HMA color change.
Take-Profit Spikes: Marks abnormal moves (ATR, Z-Score, or both) as discretionary TP signals.
Fast HMA (optional): Purely visual for early entry opportunities; not part of the core trading logic (see §5).
2) Adding & Basic Setup
Add the indicator to your chart.
Open Settings (gear icon) and configure:
HMA: Slow HMA Length = 55, Slope Lookback = 10, Slope Threshold = 0.20%.
Keltner: KC Length = 20, Multiplier = 1.5.
Spike-TP: Mode = ATR+Z, ATR Length = 14, Z Length = 20, Cooldown = 5.
Optionally: enable Fast HMA (e.g., length = 20).
3) Input Parameters – Key Controls
Slow HMA Length: Higher = smoother, fewer but cleaner signals.
Slope Lookback: How far back HMA slope is compared against.
Slope Threshold (%): Minimum slope to avoid “Sideways” regime.
KC Length / Multiplier: Width and reactivity of Keltner Channels.
Exits via KC Bands: Toggle on/off (recommended: on).
Entries only above/below KC Basis: Helps filter out chop.
Spike Mode: Choose ATR, Z, or ATR+Z (stricter, fewer signals).
Spikes only when in position: TP markers show only when you’re in a trade.
4) Entry & Exit Logic
Entries
Long: Slow HMA turns from red → green, and (if filter enabled) Close > KC Basis.
Short: Slow HMA turns from green → red, and (if filter enabled) Close < KC Basis.
Exits
KC Exit (recommended):
Long → crossunder(close, Upper KC) closes trade.
Short → crossover(close, Lower KC).
Fallback Exit: If KC Exits are off → exit on opposite HMA color change.
Spike-TP (Discretionary)
Marks unusually large deviations from HMA.
Use for partial profits or tightening stops.
⚠️ Not auto-traded — only marker/alert.
5) Early Entry Opportunities (Fast HMA Cross – visual only)
The script can optionally display a Fast HMA (e.g., 20) alongside the Slow HMA (e.g., 55).
Bullish early hint: Fast HMA crosses above Slow HMA, or stays above, before the Slow HMA officially turns green.
Bearish early hint: opposite.
⚠️ These signals are not part of the built-in logic — they are purely discretionary:
Advantage: Earlier entries, more profit potential.
Risk: Higher chance of whipsaws.
Practical workflow (early long entry):
Fast HMA crosses above Slow HMA AND Close > KC Basis.
Enter small position with tight stop (under KC Basis or HMA swing).
Once Slow HMA confirms green → add to position or trail stop tighter.
6) Recommended Presets
Crypto (1h/2h):
HMA: 55 / 10 / 0.20–0.30%
KC: 20 / 1.5–1.8
Spikes: ATR+Z, ATR=14, Z=20, Cooldown 5
FX (1h/4h):
HMA: 55 / 8–10 / 0.10–0.25%
KC: 20 / 1.2–1.5
Indices (15m/1h):
HMA: 50–60 / 8–12 / 0.15–0.30%
KC: 20 / 1.3–1.6
Fine-tuning:
Too noisy? → Raise slope threshold or increase HMA length.
Too sluggish? → Lower slope threshold or shorten HMA length.
7) Alerts – Best Practice
Long/Short Entry – get notified when trend color switches & KC filter is valid.
Long/Short Exit – for KC exits or fallback exits.
Long/Short Spike TP – for discretionary profit-taking.
Set via TradingView: Create Alert → Select this indicator → choose condition.
8) Common Pitfalls & Tips
Too many false signals?
Raise slope threshold (more “Sideways” filtering).
Enable KC filter for entries.
Entries too late?
Use Fast HMA cross for early discretionary entries.
Or lower slope threshold slightly.
Spikes too rare/frequent?
More frequent → ATR mode or lower ATR multiplier / Z-threshold.
Rarer but stronger → ATR+Z with higher thresholds.
9) Example Playbook (Long Trade)
Regime: Slow HMA still red, Fast HMA crosses upward (early hint).
Filter: Close > KC Basis.
Early Entry: Small size, stop below KC Basis or recent swing low.
Confirmation: Slow HMA turns green → scale up or trail stop.
Management: Partial profits at Spike-TP marker; full exit at KC upper band break.
Indicator: Profitability by Day & Hour (stacked, non-overlay)What it does
This tool performs a simple seasonality study on the selected symbol. It measures historical returns and summarizes them in two horizontal heatmaps:
Hours table (top) — Columns 00–23 show the average return of each clock hour, plus sample size, win rate, volatility (SD), and a t-score.
Days table (middle) — Columns 1–7 correspond to Mon–Sun with the same metrics.
Summary (bottom) — Shows the most profitable day and hour in the history loaded on your chart.
Green cells indicate higher average returns; red cells indicate lower/negative averages. The layout is centered on the screen, with the hours table above the days table for quick scanning.
How it works (methodology)
Returns: by default the indicator uses log returns ln(Ct/Ct-1) (you can switch to simple % if you prefer).
Daily aggregation (no look-ahead): day statistics are computed from completed daily closes via a higher timeframe request. Yesterday’s daily close vs. the prior day is added to the appropriate weekday bucket, preventing repaint/forward bias.
Hourly aggregation (intraday only): hour statistics are computed bar-to-bar on the current intraday timeframe and accumulated by clock hour (00–23) of the symbol’s exchange timezone.
Metrics per bucket:
Mean: average return in that bucket.
n: number of observations.
Win%: share of positive returns.
SD: standard deviation of returns (volatility proxy).
t-score: mean / SD * sqrt(n) — a quick stability signal (not a hypothesis test).
The indicator does not rely on future data and does not repaint past values.
Reading the tables
Start with the Mean row in each table: it’s color-mapped (red → yellow → green).
Check n (sample size). A bright green cell with very low n is less meaningful than a mild green cell with large n.
Use Win% and SD to judge consistency and noise.
t-score is a compact “signal-to-noise × sample size” measure; higher absolute values suggest more stable effects.
Typical observations traders look for (purely illustrative): for some equity indices, the first hour after the cash open can dominate; for FX/crypto, certain late-US or early-Asia hours sometimes stand out. Always verify on your symbol and timeframe.
Futures PnL Levels [MFFU]Futures PnL Levels is a purpose-built indicator designed specifically for futures traders using TradingView. Whether you're backtesting strategies, planning trades, or managing live positions, this tool gives you a clean, visual overlay of your Profit & Loss directly on the chart, based on your custom input.
Why This Indicator is Different
If you trade using Tradovate through TradingView , you’ve likely noticed a major limitation: TradingView does not show your real-time PnL. This has made it nearly impossible to track live profits and losses within the charting platform until now.
Futures PnL Levels bridges that gap . By inputting your entry, TP, SL, and contract size, you can now replicate a live, dynamic PnL experience directly on your TradingView chart. This solves a long-standing issue for Tradovate users and significantly improves real-time trade awareness.
Key Features
Trade Modeling
Define your trade parameters upon activating the indicator:
Set your entry price , profit target , and stop loss
Input the number of contracts to reflect real-world position sizing
Visual PnL Display
Auto-drawing Take Profit (TP) , Stop Loss (SL) , and Breakeven levels
Live PnL tracking that moves with current market price
Optional live display of floating PnL values and breakeven zones
Styling & Display Options
Adjust line colors and widths for TP/SL/Breakeven
Differentiate real-time positive vs. negative PnL with separate colors
Toggle visibility of label lines and full readouts
Customize label size , price rounding , and other chart elements
Position Summary Table
View a compact summary of your trade parameters
Float this table anywhere on the chart (e.g., top right )
Provides an at-a-glance view of your current setup
Built for CME Futures
Fully compatible with CME instruments like ES, NQ, CL, GC , and more
Supports both long and short positions
Works with auto-detected or manually defined futures contracts
Who It’s For
Futures traders looking to plan trades visually before entering a position
Backtesters and strategy developers who need PnL clarity during analysis
Active traders using Tradovate through TradingView who are missing live PnL tracking
Why Use Futures PnL Levels ?
Unlike generic TP/SL indicators, this tool offers a true replacement for missing PnL visibility in the TradingView + Tradovate ecosystem. Instead of manually inputting your profits, this indicator lets you see your trade’s performance unfold in real time — directly on the chart .
Whether you're preparing a precise entry or managing an open position, Futures PnL Levels adds structure, confidence, and clarity to every trade.
EPS+Sales+Net Profit+MCap+Sector & Industry📄 Full Description
This script displays a comprehensive financial data panel directly on your TradingView chart, helping long-term investors and swing traders make informed decisions based on fundamental trends. It consolidates key financial metrics and business classification data into a single, visually clear table.
🔍 Key Features:
🧾 Financial Metrics (Auto-Fetched via request.financial):
EPS (Earnings Per Share) – Displayed with trend direction (QoQ or YoY).
Sales / Revenue – In ₹ Crores (for Indian stocks), trend change also included.
Net Profit – Also in ₹ Crores, along with percentage change.
Market Cap – Automatically calculated using outstanding shares × price, shown in ₹ Cr.
Free Float Market Cap – Based on float shares × price, also in ₹ Cr.
🏷️ Sector & Industry Info:
Automatically identifies and displays the Sector and Industry of the stock using syminfo.sector and syminfo.industry.
Displayed inline with metrics, making it easy to know what business the stock belongs to.
📊 Table View:
Compact and responsive table shown on your chart.
Columns: Date | EPS | QoQ | Sales | QoQ | Net Profit | QoQ | Metrics
Metrics column dynamically shows:
Market Cap
Free Float
Sector (Row 4)
Industry (Row 5)
🌗 Appearance:
Supports Dark Mode and Mini Mode toggle.
You can also customize:
Number of data points (last 4+ quarters or years)
Table position and size
🎯 Use Case:
This script is ideal for:
Fundamental-focused traders who use EPS/Sales trends to identify momentum.
Swing traders who combine price action with fundamental tailwinds.
Portfolio builders who want to see sector/industry alignment quickly.
It works best with fundamentally sound stocks where earnings and profitability are a major factor in price movements.
✅ Important Notes:
Script uses request.financial which only works with supported symbols (mostly stocks).
Market Cap and Free Float are calculated in ₹ Crores.
All financial values are rounded and formatted for readability (e.g., 1,234 Cr).
🙏 Credits:
Developed and published by Sameer Thorappa
Built with a clean, minimalist approach for high readability and functionality.
Supply In Profit Z-ScoreZ-score of BTC Supply in Profit.
Supply in Profit is an On-Chain BTC indicator that shows the percentage of BTC in profit.
In this indicator you can choose to use a Z-Score or not.
Risk Calculator PRO — manual lot size + auto lot-suggestionWhy risk management?
90 % of traders blow up because they size positions emotionally. This tool forces Risk-First Thinking: choose the amount you’re willing to lose, and the script reverse-engineers everything else.
Key features
1. Manual or Market Entry – click “Use current price” or type a custom entry.
2. Setup-based ₹-Risk – four presets (A/B/C/D). Edit to your workflow.
3. Lot-Size Input + Auto Lot Suggestion – you tell the contract size ⇒ script tells you how many lots.
4. Auto-SL (optional) – tick to push stop-loss to exactly 1-lot risk.
5. Instant Targets – 1 : 2, 1 : 3, 1 : 4, 1 : 5 plotted and alert-ready.
6. P&L Preview – table shows potential profit at each R-multiple plus real ₹ at SL.
7. Margin Column – enter per-lot margin once; script totals it for any size.
8. Clean Table UI – dark/light friendly; updates every 5 bars.
9. Alert Pack – SL, each target, plus copy-paste journal line on the chart.
How to use
1. Add to chart > “Format”.
2. Type the lot size for the symbol (e.g., 1250 for Natural Gas, 1 for cash equity).
3. Pick Side (Buy / Sell) & Setup grade.
4. ✅ If you want the script to place SL for you, tick Auto-SL (risk = 1 lot).
5. Otherwise type your own Stop-loss.
6. Read the table:
• Suggested lots = how many to trade so risk ≤ setup ₹.
• Risk (currency) = real money lost if SL hits.
7. Set TradingView alerts on the built-in conditions (T1_2, SL_hit, etc.) if you’d like push / email.
8. Copy the orange CSV label to Excel / Sheets for journalling.
Best practices
• Never raise risk to “fit” a trade. Lower size instead.
• Review win-rate vs. R multiple monthly; adjust setups A–D accordingly.
• Test Auto-SL in replay before going live.
Disclaimer
This script is educational. Past performance ≠ future results. The author isn’t responsible for trading losses.
DAILY CANDLE PROFIT TARGET BIAS @MaxMaserati
Max Maserati Method for Candle Bias and effective price action Analysis
The MMM CANDLE BIAS 2.0 indicator, built on the proprietary Max Maserati Method, classifies candles to deliver clear, real-time market bias insights. It decodes price action, revealing institutional trading patterns often missed by retail traders.
The Six Core Candle Classifications: The Foundation of MMM Analysis
Master these six closing patterns, and you'll unlock the true language of price action. These are the building blocks of institutional trading behavior:
Bullish Body Close
Identification: Candle closes above the previous candle’s high.
Psychology: Strong buying pressure overcomes prior resistance.
Implication: Signals bullish trend continuation or reversal.
Bearish Body Close
Identification: Candle closes below the previous candle’s low.
Psychology: Intense selling pressure breaks past support.
Implication: Indicates bearish trend continuation or reversal.
Bullish Affinity
Identification: High tests or breaches previous low, but close stays within previous candle’s range.
Psychology: Buyers defend lower levels, rejecting downside.
Implication: Hidden bullish strength in consolidation.
Bearish Affinity
Identification: Low tests or breaches previous high, but close remains within previous candle’s range.
Psychology: Sellers cap upside attempts, gaining control.
Implication: Subtle bearish pressure despite failed breakout.
Seek & Destroy
Identification: Candle breaks both previous high and low, closing inside previous range.
Psychology: Institutions test liquidity on both sides before committing.
Implication: Direction depends on close—upper half (bullish affinity) or lower half (bearish affinity).
Close Inside
Identification: High and low stay within previous candle’s range.
Psychology: Consolidation with underlying directional bias.
Implication: Bias determined by close position relative to range.
Plus/Minus Strength System
Bullish Strength: Measures distance from low to close (buying pressure).
Bearish Strength: Measures distance from high to close (selling pressure).
Plus (+): Dominant strength significantly outweighs the other, indicating strong directional conviction.
Minus (-): Balanced strengths suggest a contested market, requiring caution.
Key Features
Automated Pattern Recognition: Instantly detects candle formations.
Color-Coded Bars: Green for bullish, red for bearish bias.
Dynamic Profit Targets: Projects targets based on higher timeframe high/low.
Real-Time Metrics: Displays bullish/bearish strength percentages and volume delta.
Customizable Table: Shows timeframe, symbol, bias, volume, and special note (“Analyze | Wait | Repeat”).
Bias Lines: Plots high/low lines on higher timeframe, with optional extension.
Labels: Customizable bias and profit target labels (Tiny, Small, Normal sizes).
Trading Advantages
Reveals institutional moves before retail traders react.
Detects reversals ahead of conventional indicators.
Enables precise entry timing with smart money.
Enhances risk management with clear strength signals.
Simplifies complex price action into actionable insights.
Profit Target Framework
Bullish Patterns: Target higher timeframe high.
Bearish Patterns: Target higher timeframe low.
Plus Strength: Expects direct move to target.
Minus Strength: Anticipates measured advance with potential pullbacks and/or violations.
Visual Implementation
Lines and Labels: High/low bias lines and profit target markers adapt to timeframe.
Table Display: Configurable position (top/middle/bottom, left/center/right) with key metrics.
Bar Coloring: Optional coloring based on bias or plus/minus strength.
Trader’s Mantra
"Analyze | Wait | Repeat" - Discipline turns market reading into consistent profits.
Elevate your trading with MMM CANDLE BIAS 2.0, where professional-grade analysis meets intuitive design.
Note: Based on the proprietary Max Maserati Method for educational and analytical use.
FA Dashboard: Valuation, Profitability & SolvencyFundamental Analysis Dashboard: A Multi-Dimensional View of Company Quality
This script presents a structured and customizable dashboard for evaluating a company’s fundamentals across three key dimensions: Valuation, Profitability, and Solvency & Liquidity.
Unlike basic fundamental overlays, this dashboard consolidates multiple financial indicators into visual tables that update dynamically and are grouped by category. Each ratio is compared against configurable thresholds, helping traders quickly assess whether a company meets certain value investing criteria. The tables use color-coded checkmarks and fail marks (✔️ / ❌) to visually signal pass/fail evaluations.
▶️ Key Features
Valuation Ratios:
Earnings Yield: EBIT / EV
EV / EBIT and EV / FCF: Enterprise value metrics for profitability
Price-to-Book, Free Cash Flow Yield, PEG Ratio
Profitability Ratios:
Return on Invested Capital (ROIC), ROE, Operating, Net & Gross Margins, Revenue Growth
Solvency & Liquidity Ratios:
Debt to Equity, Debt to EBITDA, Current Ratio, Quick Ratio, Altman Z-Score
Each of these metrics is calculated using request.financial() and can be viewed using either annual (FY) or quarterly (FQ) data, depending on user preference.
🧠 How to Use
Add the script to any stock chart.
Select your preferred data period (FY or FQ).
Adjust thresholds if desired to match your personal investing strategy.
Review the visual dashboard to see which metrics the company passes or fails.
💡 Why It’s Useful
This tool is ideal for traders or long-term investors looking to filter stocks using fundamental criteria. It draws inspiration from principles used by Benjamin Graham, Warren Buffett, and Joel Greenblatt, offering a fast and informative way to screen quality businesses.
This is not a repackaged built-in or autogenerated script. It’s a custom-built, interactive tool tailored for fundamental analysis using official financial data provided via Pine Script’s request.financial().
Supply In Profit Z-Score | Vistula LabsOverview
The Supply In Profit Z-Score indicator is a Pine Script™ tool developed by Vistula Labs for technical analysis of cryptocurrencies, specifically Bitcoin (BTC) and Ethereum (ETH). It utilizes on-chain data from IntoTheBlock to calculate the difference between the percentage of addresses in profit and those in loss, transforming this metric into a Z-Score. This indicator helps traders identify market sentiment, trend-following opportunities, and overbought or oversold conditions.
What is Supply In Profit?
Supply In Profit is defined as the net difference between the percentage of addresses in profit and those in loss:
Profit Percentage: The proportion of addresses where the current value of holdings exceeds the acquisition price.
Loss Percentage: The proportion of addresses where the current value is below the acquisition price.
A positive value indicates more addresses are in profit, suggesting bullish sentiment, while a negative value indicates widespread losses, hinting at bearish sentiment.
How It Works
The indicator computes a Z-Score to normalize the Supply In Profit data relative to its historical behavior:
Z-Score = (Current Supply In Profit - Moving Average of Supply In Profit) / Standard Deviation of Supply In Profit
Current Supply In Profit: The latest profit-minus-loss percentage.
Moving Average: A customizable average (e.g., EMA, SMA) over a default 180-bar period.
Standard Deviation: Calculated over a default 200-bar lookback period.
Key Features
Data Source:
Selectable between BTC and ETH, pulling daily profit/loss percentage data from IntoTheBlock.
Customization:
Moving Average Type: Options include SMA, EMA, DEMA, RMA, WMA, or VWMA (default: EMA).
Moving Average Length: Default is 180 bars.
Z-Score Lookback: Default is 200 bars.
Thresholds: Adjustable for long/short signals and overbought/oversold levels.
Signals:
Long Signal: Z-Score crosses above the Long Threshold (default: 1.0).
Short Signal: Z-Score crosses below the Short Threshold (default: -0.64).
Overbought/Oversold Conditions:
Overbought: Z-Score > 3.0.
Oversold: Z-Score < -2.0.
Visualizations:
Z-Score Plot: Teal for long signals, magenta for short signals.
Threshold Lines: Dashed lines for long/short, solid lines for overbought/oversold.
Candlestick Coloring: Matches signal colors (teal/magenta).
Arrows: Green up-triangles for long entries, red down-triangles for short entries.
Background Colors: Magenta for overbought, teal for oversold.
Alerts:
Conditions for Long Opportunity, Short Opportunity, Overbought, and Oversold.
Usage Guide
Trend Following
Long Entry: When Z-Score crosses above 1.0, indicating potential upward momentum.
Short Entry: When Z-Score crosses below -0.64, suggesting potential downward momentum.
Overbought/Oversold Analysis
Overbought (Z-Score > 3.0): Consider profit-taking or preparing for a reversal.
Oversold (Z-Score < -2.0): Look for buying opportunities or exiting shorts.
Timeframe
Uses daily IntoTheBlock data, ideal for medium to long-term analysis.
Interpretation
High Z-Score: Indicates Supply In Profit is significantly above its historical mean, potentially signaling overvaluation.
Low Z-Score: Suggests Supply In Profit is below its mean, indicating possible undervaluation.
Signals and thresholds help traders act on shifts in market sentiment or extreme conditions.
Conclusion
The Supply In Profit Z-Score indicator provides a robust, data-driven approach to analyzing cryptocurrency market trends and sentiment. By combining on-chain metrics with statistical normalization, it empowers traders to make informed decisions based on historical context and current market dynamics.
Stop Loss / Take Profit Table// (\_/)
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📈 Introducing the Stop Loss / Take Profit Table Indicator! 📈
Enhance your trading strategy with our powerful Stop Loss / Take Profit Table indicator, designed for traders in the Crypto, Stock, and Forex markets. This easy-to-use tool helps you manage risk and maximize profits by clearly displaying your Stop Loss and Take Profit levels based on your trading position.
Key Features:
Custom Asset Types: Choose between Crypto, Stock, or Forex to tailor the indicator to your specific trading style.
Dynamic Stop Loss & Take Profit Calculation: Set your desired Stop Loss percentage, and the indicator will automatically calculate your Stop Loss and two Take Profit levels based on different timeframes (1 min to 240 min).
Position Type Flexibility: Whether you're trading Long or Short, the indicator adjusts the calculations accordingly, providing you with precise price levels for effective risk management.
Visual Representation: Stop Loss and Take Profit levels are marked directly on the chart with distinctive horizontal lines in vibrant colors for easy reference.
Informative Table Display: A dedicated table displayed on the chart shows your asset type, position type, and calculated prices for Stop Loss and Take Profit levels, ensuring you have all critical data at a glance.
Alert Notifications: Stay informed with optional alerts that signal when your Stop Loss or Take Profit levels are hit, allowing you to react swiftly in fast-moving markets.
Why Use This Indicator?
Managing your trades is critical for success in the financial markets. With our Stop Loss / Take Profit Table, you can easily set your parameters and visually track your risk and reward levels, making it a practical addition to any trader's toolkit.
Get started today and take control of your trading strategy! ✨
Happy trading! 📊🚀
Scalping Tool with Dynamic Take Profit & Stop Loss### **Scalping Indicator: Summary and User Guide**
The **Scalping Indicator** is a powerful tool designed for traders who focus on short-term price movements. It combines **Exponential Moving Averages (EMA)** for trend identification and **Average True Range (ATR)** for dynamic stop loss and take profit levels. The indicator is highly customizable, allowing traders to adapt it to their specific trading style and risk tolerance.
---
### **Key Features**
1. **Trend Identification**:
- Uses two EMAs (Fast and Slow) to identify trend direction.
- Generates **Buy Signals** when the Fast EMA crosses above the Slow EMA.
- Generates **Sell Signals** when the Fast EMA crosses below the Slow EMA.
2. **Dynamic Take Profit (TP) and Stop Loss (SL)**:
- **Take Profit (TP)**:
- TP levels are calculated as a percentage above (for long trades) or below (for short trades) the entry price.
- TP levels are **dynamically recalculated** when the price reaches the initial target, allowing for multiple TP levels during a single trade.
- **Stop Loss (SL)**:
- SL levels are calculated using the ATR multiplier, providing a volatility-based buffer to protect against adverse price movements.
3. **Separate Settings for Long and Short Trades**:
- Users can independently enable/disable and configure TP and SL for **Buy** and **Sell** orders.
- This flexibility ensures that the indicator can be tailored to different market conditions and trading strategies.
4. **Visual Signals and Levels**:
- **Buy/Sell Signals**: Clearly marked on the chart with labels ("BUY" or "SELL").
- **TP and SL Levels**: Plotted on the chart for both long and short trades, making it easy to visualize risk and reward.
---
### **How to Use the Scalping Indicator**
#### **1. Setting Up the Indicator**
- Apply the indicator to your chart in TradingView.
- Configure the input parameters based on your trading preferences:
- **Fast Length**: The period for the Fast EMA (default: 5).
- **Slow Length**: The period for the Slow EMA (default: 13).
- **ATR Length**: The period for the ATR calculation (default: 14).
- **Buy/Sell TP and SL**: Enable/disable and set the percentage or ATR multiplier for TP and SL levels.
#### **2. Interpreting the Signals**
- **Buy Signal**:
- When the Fast EMA crosses above the Slow EMA, a "BUY" label appears below the price bar.
- The TP and SL levels for the long trade are plotted on the chart.
- **Sell Signal**:
- When the Fast EMA crosses below the Slow EMA, a "SELL" label appears above the price bar.
- The TP and SL levels for the short trade are plotted on the chart.
#### **3. Managing Trades**
- **Take Profit (TP)**:
- When the price reaches the initial TP level, the indicator automatically recalculates the next TP level based on the new close price.
- This allows traders to capture additional profits as the trend continues.
- **Stop Loss (SL)**:
- The SL level is based on the ATR multiplier, providing a dynamic buffer against market volatility.
- If the price hits the SL level, the trade is considered closed, and the indicator resets.
#### **4. Customization**
- Adjust the **Fast Length** and **Slow Length** to suit your trading timeframe (e.g., shorter lengths for scalping, longer lengths for swing trading).
- Modify the **ATR Multiplier** and **TP Percentage** to align with your risk-reward ratio.
- Enable/disable TP and SL for long and short trades based on your trading strategy.
---
### **Tips for Getting the Best Results**
1. **Combine with Price Action**:
- Use the Scalping Indicator in conjunction with support/resistance levels, candlestick patterns, or other technical analysis tools to confirm signals.
2. **Optimize for Your Timeframe**:
- For **scalping**, use shorter EMA lengths (e.g., Fast: 5, Slow: 13).
- For **swing trading**, use longer EMA lengths (e.g., Fast: 10, Slow: 20).
3. **Adjust Risk Management**:
- Use a smaller **ATR Multiplier** for tighter stop losses in low-volatility markets.
- Increase the **TP Percentage** to allow for larger price movements in high-volatility markets.
4. **Backtest and Practice**:
- Test the indicator on historical data to understand its performance in different market conditions.
- Use a demo account to practice trading with the indicator before applying it to live trading.
---
### **Conclusion**
The **Scalping Indicator** is a versatile and user-friendly tool for traders who want to capitalize on short-term price movements. By combining trend-following EMAs with dynamic TP and SL levels, it provides a clear and systematic approach to trading. Whether you're a scalper or a swing trader, this indicator can help you identify high-probability setups and manage risk effectively. Customize it to fit your strategy, and always remember to combine it with sound risk management principles for the best results.
Z PLUS table take profit & Stop lose ### General Description:
The **Z PLUS Take Profit & Stop Loss** indicator is designed to provide traders with a structured approach to setting take profit (TP) and stop loss (SL) levels. It integrates multiple technical analysis techniques, including moving averages, the Relative Strength Index (RSI), and the Average True Range (ATR), to generate signals for potential trade entries and exits.
Key features of this indicator include:
1. **Trend Detection** – Uses a moving average-based strategy combined with RSI confirmation to determine bullish or bearish trends. The system identifies trend reversals and signals potential long (buy) or short (sell) opportunities.
2. **ATR-Based Stop Loss** – Implements an adaptive stop-loss mechanism that adjusts dynamically based on market volatility. This ensures that stop losses are positioned in a way that minimizes premature exits while still protecting against excessive losses.
3. **Swing High & Swing Low Take Profit Levels** – Incorporates a swing high and swing low detection method to identify key levels for taking profits. These levels help traders optimize their risk-reward ratios.
4. **ADX for Trend Strength Confirmation** – Utilizes the Average Directional Index (ADX) to determine the strength of the trend and adjust stop-loss levels accordingly. The indicator differentiates between strong and weak trends to enhance decision-making.
5. **Visual Signals & Color Coding** – Provides visual cues such as colored stop-loss lines and plotted take-profit markers to enhance usability. The indicator dynamically updates these levels based on price movements.
6. **Flexible Configuration** – Allows users to modify key parameters such as ATR length, sensitivity factors, and profit target percentages to tailor the strategy to their specific trading style and market conditions.
This indicator is best suited for traders looking to improve their risk management strategies while maintaining a structured approach to profit-taking and stop-loss placement.
Stop Loss & Take Profit LevelsCalculate and Plot Stop Loss (SL) Levels:
The indicator calculates the Stop Loss price level based on the account balance, risk percentage, and the trade's entry price.
For long positions, the SL is below the entry price.
For short positions, the SL is above the entry price.
Calculate and Plot Take Profit (TP) Levels:
The indicator calculates up to three Take Profit (TP) levels, each based on different Risk/Reward (R:R) ratios.
The R:R ratio determines how much reward (profit) you aim to achieve relative to the risk (the distance between the entry price and the stop loss).
These TP levels are plotted on the chart as lines above the entry price for long positions or below the entry price for short positions.
Manual Entry Price:
The user can input a manual entry price to simulate trades or plan trades before entering the market. This makes it useful for pre-trade analysis.
Dynamic Position Type:
Users can toggle between Long or Short positions:
Long Position: The trader expects the price to go up.
Short Position: The trader expects the price to go down.
The indicator adapts its calculations (SL and TP levels) based on the selected position type.
Risk Calculation Based on Account Balance:
The indicator calculates the amount of capital at risk (in €) based on the trader's account balance and the selected risk percentage.
For example:
If the account balance is €1,000 and the Stop Loss percentage is 1%, the risk amount is €10.
Visual Representation on the Chart:
The following levels are plotted on the chart:
Stop Loss Level (Red Line): The price level at which the trader would exit the trade to limit losses.
Take Profit Levels (Green Lines): Up to three price levels where the trader could take profits based on R:R ratios.
Entry Price (Blue Line): The price level where the trade begins.
These lines are dynamically updated as inputs are changed, providing instant feedback to the trader.
Bullrun Profit Maximizer [QuantraSystems]Bullrun Profit Maximizer
Quantra Systems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors.
Important Note!
The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script.
Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance.
This ensures that the system is less likely to degrade in performance over time, compared to hyper optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post backtest.
Even More Important Note!!
The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing.
While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes.
Introduction
The "Adaptive Pairwise Momentum System" is not a prototype to the Bullrun Profit Maximizer (BPM) . The Bullrun Profit Maximizer is a fully re-engineered, higher frequency momentum system.
The Bullrun Profit Maximizer (BPM) uses a completely different filter logic and refines momentum calculations, specifically to support higher frequency trading on Crypto's Blue Chip assets. It correctly calculates fees and slippage by compounding them against System Profit before plotting the equity curve.
Unlike prior systems, this script utilizes a completely new filter logic and refined momentum calculation, specifically built to support higher frequency trading on blue-chip assets, while minimizing the impact of fees and slippage.
While the APMS focuses on Macro Trend Alignment, the BPM instead applies an equity curve based filter, allowing for targeted precision on the current asset’s trend without relying on broader market conditions. This approach delivers more responsive and asset specific signals, enhancing agility in today’s fast paced crypto markets.
The BPM dynamically optimizes capital allocation across up to four high performing assets, ensuring that the portfolio adapts swiftly to changing market conditions. The system logic consists of sophisticated quantitative methods, rapid momentum analysis and alpha cyclicality/seasonality optimizations. The overarching goal is to ensure that the portfolio is always invested in the highest performing asset based on dynamic market conditions, while at the same time managing risk through rapid asset filters and internal mechanisms like alpha cyclicality, volatility and beta analysis.
In addition to these core functionalities, the BPM comes with the typical Quantra Systems UI design, structured to reduce data clutter and provide users with only the most essential, impactful information. The BPM UI format delivers clear and easy to read signals. It enables rapid decision making in a high frequency environment without compromising on depth or accuracy.
Bespoke Logic Filtering with Equity Curve Precision
The BPM script utilizes a completely new methodology and focuses on intraday rotations of blue-chip crypto assets, while previously built systems were designed with a longer term focus in mind.
In response to the need for more precise signal generation, the BPM replaces the previous macro trend filter with a new, highly specific equity curve activation filter. This unique logic filter is driven solely by the performance trends of the asset currently held by the system. By analyzing the equity curve directly, this system can make more targeted, timely allocations based on asset specific momentum, allowing for quick adjustments that are more relevant to the held asset rather than general market conditions.
The benefits of this new, unique approach are twofold: first, it avoids premature allocation shifts based on broader macro movements, and second, it enables the system to adapt dynamically to the performance of each asset individually. This asset specific filtering allows traders to capitalize on localized strength within individual blue-chip cryptoassets without being affected by lags in the overall market trend.
High Frequency Momentum Calculation for Enhanced Flexibility
The BPM incorporates a newly designed momentum calculation that increases its suitability across lower timeframes. This new momentum indicator captures and processes more data points within a shorter window than ever before, rather than extending bar intervals and potentially losing high frequency detail. This creates a smooth, data rich featureset that is especially suited for blue-chip assets, where liquidity reduces slippage and fees, making higher frequency trading viable.
By retaining more data, this system captures subtle shifts in momentum more effectively than traditional approaches, offering higher resolution insights. These modifications result in a system capable of generating highly responsive signals on faster timeframes, empowering traders to act quickly in volatile markets.
User Interface and Enhanced Readability
The BPM also features a reimagined, streamlined user interface, making it easier than ever to monitor essential signals at a glance. The new layout minimizes extraneous data points in the tables, leaving only the most actionable information for traders. This cleaner presentation is purpose built to help traders identify the strongest asset in real time, with clear, color coded signals to facilitate swift decision making in fast moving markets.
Equity Stats Table : Designed for clarity, the stats table focuses on the current allocation’s performance metrics, emphasizing the most critical metrics without unnecessary clutter.
Color Coded Highlights : The interface includes the option to highlight both the current top performing asset, and historical allocations - with indicators of momentum shifts and performance metrics readily accessible.
Clear Signals : Visual cues are presented in an enhanced way to improve readability, including simplified line coloring, and improve visualization of the outperforming assets in the allocation table.
Dynamic Asset Reallocation
The BPM dynamically allocates capital to the strongest performing asset in a selected pool. This system incorporates a re-engineered, pairwise momentum measurement designed to operate at higher frequencies. The system evaluates each asset against others in real time, ensuring only the highest momentum asset receives allocation. This approach keeps the portfolio positioned for maximum efficiency, with an updated weighting logic that favors assets showing both strength and sustainability.
Position Changes and Slippage Calculation
Position changes are optimized for faster reallocation, with realistic slippage and fee calculations factored into each trade. The system’s structure minimizes the impact of these costs on blue-chip assets, allowing for more active management on short timeframes without incurring significant drag on performance.
A Special Note on Fees + Slippage
In the image above, the system has been applied to four different timeframes - 12h, 8h, 4h and 1h - using identical settings and a selected slippage and fees amount of 0.2%. In this stress test, we isolate the choppy downwards period from the previous Bitcoin all time high - set in March 2024, to the current date where Bitcoin is currently sitting at around the same level.
This illustrates an important concept: starting at the 12h, the system performed better as the timeframes decreased. In fact, only on the 4hr chart did the system equity curve make a new all time high alongside Bitcoin. It is worth noting that market phases that are “non-trending” are generally the least profitable periods to use a momentum/trend system - as most systems will get caught by false momentum and will “buy the top,” and then proceed to “sell the bottom.”
Lower timeframes typically offer more data points for the algorithm to compute over, and enable quicker entries and exits within a robust system, often reducing downside risk and compounding gains more effectively - in all market environments.
However, slippage, fees, and execution constraints are still limiting factors. Although blue-chip cryptocurrencies are more liquid and can be traded with lower fees compared to low cap assets, frequent trading on lower timeframes incurs cumulative slippage costs. With the BPM system set to a realistic slippage rate of 0.2% per trade, this example emphasizes how even lower fees impact performance as trade frequency increases.
Finding the optimal balance between timeframe and slippage impact requires careful consideration of factors such as portfolio size, liquidity of selected tokens, execution speed, and the fee rate of the exchange you execute trades on.
Number of Position Changes
Understanding the number of position changes in a strategy is critical to assessing its feasibility in real world trading. Frequent position changes can lead to increased costs due to slippage and fees. Monitoring the number of position changes provides insight into the system’s behavior - helping to evaluate how active the strategy is and whether it aligns with the trader's desired time input for position management.
Equity Curve and Performance Calculations
To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents a 100% allocation to Bitcoin, the highest market cap cryptoasset. This allows users to easily compare the performance of the dynamic rotation system with that of a more traditional investment strategy.
The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including:
Sharpe Ratio
The Sharpe Ratio is a key metric that evaluates a portfolio’s risk adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market.
By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets.
Sortino Ratio
The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the Bullrun Profit Maximizer - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto.
Omega Ratio
The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels.
Usage Summary:
While the backtests in this description are generated as if a trader held a portfolio of just the strongest tokens, this was mainly designed as a method of logical verification and not a recommended investment strategy. In practice, this system can be used in multiple ways.
It can be used as above, or as a factor in forming part of a broader asset selection tool, or even a method of filtering tokens by strength in order to inform a day trader which tokens might be optimal to look at, for long-only trading setups on an intrabar timeframe.
Summary
The Bullrun Profit Maximizer is an advanced tool tailored for traders, offering the precision and agility required in today’s markets. With its asset specific equity curve filter, reworked momentum analysis, and streamlined user interface, this system is engineered to maximize gains and minimize risk during bullmarkets, with a strong focus on risk adjusted performance.
Its refined approach, focused on high resolution data processing and adaptive reallocation, makes it a powerful choice for traders looking to capture high quality trends on clue-chip assets, no matter the market’s pace.
Kenji Indicator Version 2.0KenJi Indicator Version 2.0
Indicator Class : Average analysis/trend following
Trading type : Any
Time frame : Any
Purpose : Trend-based trading
Level of aggressiveness : Flexible
Introduction
The basic rule of trading is as follows: "trend is your friend." Means, it is extremely important to follow the current market sentiments rather than resisting them. Following this principle allows a trader to feel as comfortable as possible during the trading: positions typically are in a profit zone and there is no psychological pressure of a negative financial result that often leads to hasty position closures.
Despite the advantages of trend-following strategies, many traders struggle to accurately identify the prevailing trend and market sentiments, resulting in bad trading decisions and, consequently, unfavorable trading outcomes.
To address these challenges, streamline the analysis process, and enhance the overall quality of trading decisions, our team of analysts has developed The KenJi Indicator Version 2.0.
About the KenJi Indicator Version 2.0
The KenJi Indicator Version 2.0 offers a novel approach to traditional average-based analysis. Many conventional strategies relying on averages tend to generate numerous false signals, especially in “flat” markets where frequent crossovers and shifts in direction are common. This reduces the overall effectiveness of average analysis.
The KenJi Indicator Version 2.0 addresses these issues by incorporating a unique algorithm, which combines correlation and moving average analysis to avoid the pitfalls of traditional methods. It accurately identifies market conditions—indicated by colors: red for a downtrend, blue for an uptrend, and green for a “flat” market—thereby improving the quality of signals and helping traders manage trends more effectively.
The KenJi Indicator Version 2.0 indicator not only identifies optimal entry points but also assists in timing exits for profit-taking. Moreover, it assesses the aggressiveness of signals, making it suitable for both novice and experienced traders.
Trading Rules
Using the KenJi Indicator Version 2.0 is straightforward. When the price enters the buy or sell zone—represented by a blue or red area between the fast and slow averages—it generates a signal to enter a position. This position remains active until the market condition changes (such as a shift from a downtrend to “flat”) or until a close signal appears, indicated by a significant divergence shown by a blue or red cross.
Indicator Structure
The KenJi Indicator Version 2.0 consists of colored zones, level lines and stop crosses:
Trend Zones : These are color-coded (blue, red, or green) to highlight trend conditions and entry points.
Level Lines : The lines indicate the nearest support/resistance lines (red for resistance, blue for support). Available for 4H time-frame and below
Stop Crosses : Blue or Red crosses are displayed on the Chart to show the moments of extreme price divergence from the current trend. A good moment to fix profits.
For ease of use, the indicator shows buy and sell signals directly on the chart.
Signal Types:
Standard : Uses the basic lot size for trades.
Aggressive : Uses double the standard lot size for higher risk/reward trades.
Profit zones are marked by blue/red x-crosses: red x-crosses indicate "sell" take-profit zones, while blue x-crosses indicate "buy" take-profit zones.
Alerts and Notifications
The indicator includes built-in alerts and notifications, ensuring traders don’t miss any "buy" or "sell" signals.
Input Parameters
The KenJi Indicator Version 2.0 offers several input parameters for customization:
Slow Average Period : Defines the period for the slow average. Longer periods provide a more stable, conservative response to price changes.
Fast Average Period : Defines the period for the fast average. Similar to the slow average, a longer period provides more conservative signals.
Correlation Period : Used to calculate the Pearson correlation coefficient and estimate the relationship between the fast and slow averages, improving trend identification.
Divergence Sensitivity : Determines the placement of take-profit zones, with higher values increasing the distance of these zones.
Access to the KenJi Indicator Version 2.0
For more information or to request access to the Kenji 2.0 Indicator, please send inquiries via private messages.
Risk Management Calculator with Fees and Take Profit [CHE]Risk Management Calculator with Fees and Take Profit
Welcome to the Risk Management Calculator with Fees and Take Profit script! This powerful tool is designed to help traders manage their risk effectively, calculate leverage, and set take profit targets. The script is inspired by and builds upon the ideas from the following TradingView script: ().
This script is inspired by and builds upon the ideas from the following TradingView script:
Features
1. Portfolio Size Input: Enter the size of your portfolio to accurately calculate your risk and leverage.
2. Max Loss Percent Input: Specify the maximum percentage of your portfolio that you are willing to risk on a single trade.
3. Max Leverage Input: Set the maximum leverage you are comfortable using.
4. Trading Fee Input: Include trading fees in your calculations to get a more realistic view of your potential losses and gains.
5. ATR Settings: Configure the ATR period and multiplier to calculate your stop loss and take profit levels.
6. RSI Settings: Adjust the RSI period for trend analysis.
How to Use
Portfolio Size
- Description: This is the total value of your trading account.
- Input: `portfolioSize`
- Default Value: 100
- Minimum Value: 0.001
Max Loss Percent
- Description: The maximum percentage of your portfolio you are willing to lose on a single trade.
- Input: `maxLossPercent`
- Default Value: 3%
- Range: 0.1% to 100%
Max Leverage
- Description: The maximum leverage you wish to use.
- Input: `maxLeverage`
- Default Value: 125
- Range: 1 to 125
Trading Fee
- Description: The fee percentage you pay per trade.
- Input: `feeRate`
- Default Value: 1%
- Range: 0% to 10%
ATR Settings
- ATR Period: Number of bars used to calculate the Average True Range.
- Input: `atrPeriod`
- Default Value: 5
- ATR Multiplier: Multiplier for ATR to set stop loss levels.
- Input: `atrMultiplier`
- Default Value: 2.0
Take Profit Multiplier
- Description: Multiplier for ATR to set take profit levels.
- Input: `takeProfitMultiplier`
- Default Value: 2.0
RSI Settings
- RSI Period: Period for the RSI calculation.
- Input: `rsiPeriod`
- Default Value: 14
Dashboard
The script includes a customizable dashboard that displays the following information:
- Portfolio Size
- Maximum Loss Amount
- Entry Price
- Stop Loss Price
- Stop Loss Percentage
- Calculated Leverage
- Order Value
- Order Quantity
- Trend Direction
- Adjusted Maximum Loss Percentage
- Take Profit Price
Dashboard Settings
- Location: Choose the position of the dashboard on the chart.
- Options: 'Top Right', 'Bottom Right', 'Top Left', 'Bottom Left'
- Size: Adjust the size of the dashboard text.
- Options: 'Tiny', 'Small', 'Normal', 'Large'
- Text/Frame Color: Set the color for the text and frame of the dashboard.
Underlying Principles and Assumptions
Leverage Calculation
The leverage calculation is fundamental to risk management in trading. It ensures that the risk per trade does not exceed a specified percentage of the portfolio. This calculation takes into account the potential loss from the entry price to the stop loss level, adjusted for trading fees. By dividing the maximum acceptable loss by the total potential loss (including fees), we derive a leverage that limits the exposure per trade. This approach helps traders avoid over-leveraging, which can lead to significant losses.
ATR and Stop Loss
The Average True Range (ATR) is used to set stop loss levels because it measures market volatility. A higher ATR indicates more volatility, which means wider stop losses are needed to avoid being prematurely stopped out by normal market fluctuations. By using an ATR multiplier, the stop loss is dynamically adjusted based on current market conditions, providing a more robust risk management strategy.
Take Profit Calculation
The take profit level is calculated as a multiple of the ATR, ensuring that it is set at a realistic level relative to market volatility. This method aims to capture significant price movements while avoiding the noise of smaller fluctuations. Setting take profit targets this way helps in locking in profits when the market moves favorably.
RSI for Trend Confirmation
The Relative Strength Index (RSI) is used to confirm the trend direction. An RSI above 50 typically indicates a bullish trend, while an RSI below 50 indicates a bearish trend. By aligning trades with the prevailing trend, the script increases the probability of successful trades. This trend confirmation helps in making informed decisions about leverage and position sizing.
Risk Color Coding
The script uses color coding to visually indicate the risk level and trend direction. Green indicates a favorable condition for long trades, red for short trades, and gray for neutral conditions. This intuitive color coding aids in quickly assessing the market conditions and making timely trading decisions.
Conclusion
This script aims to provide a comprehensive risk management tool for traders. By integrating portfolio size, leverage, fees, ATR, and RSI, it helps in making informed trading decisions. We hope you find this tool useful in your trading journey.
Happy Trading!
Buffett Quality Score [Industry]The Buffett Quality Score is a composite indicator developed to assess the financial health and quality of companies operating within the Industrial sector. It combines a carefully selected set of financial ratios, each weighted with specific thresholds, to provide a comprehensive evaluation of company performance.
Selected Financial Ratios and Criteria:
1. Return on Assets (ROA) > 5%
ROA measures a company's profitability by evaluating how effectively it utilizes its assets. An ROA exceeding 5% earns 1 point.
2. Debt to Equity Ratio < 1.0
The Debt to Equity Ratio reflects a company's leverage. A ratio below 1.0 earns 1 point, indicating lower reliance on debt financing.
3. Interest Coverage Ratio > 3.0
The Interest Coverage Ratio assesses a company's ability to meet interest payments. A ratio above 3.0 earns 1 point, indicating strong financial health.
4. Gross Margin % > 25%
Gross Margin represents the profitability of sales after deducting production costs. A margin exceeding 25% earns 1 point, indicating better pricing power.
5. Current Ratio > 1.5
The Current Ratio evaluates a company's liquidity by comparing current assets to current liabilities. A ratio above 1.5 earns 1 point, indicating sufficient short-term liquidity.
6. EBITDA Margin % > 15%
EBITDA Margin measures operating profitability, excluding non-operating expenses. A margin exceeding 15% earns 1 point, indicating efficient operations.
7. Altman Z-Score > 2.0
The Altman Z-Score predicts bankruptcy risk based on profitability, leverage, liquidity, solvency, and activity. A score above 2.0 earns 1 point, indicating financial stability.
8. EPS Basic One-Year Growth % > 5%
EPS One-Year Growth reflects the percentage increase in earnings per share over the past year. Growth exceeding 5% earns 1 point, indicating positive earnings momentum.
9. Revenue One-Year Growth % > 5%
Revenue One-Year Growth represents the percentage increase in revenue over the past year. Growth exceeding 5% earns 1 point, indicating healthy sales growth.
10. Piotroski F-Score > 6
The Piotroski F-Score evaluates fundamental strength based on profitability, leverage, liquidity, and operating efficiency. A score above 6 earns 1 point, indicating strong fundamental performance.
Score Calculation Process:
Each company is evaluated against these criteria.
For every criterion met or exceeded, 1 point is assigned.
The total points accumulated determine the Buffett Quality Score out of a maximum of 10.
Interpretation of Scores:
0-4 Points: Indicates potential weaknesses across multiple financial areas.
5 Points: Suggests average performance based on the selected criteria.
6-10 Points: Signifies strong overall financial health and quality, meeting or exceeding most of the performance thresholds.
Research and Development:
The selection and weighting of these specific financial ratios underwent extensive research to ensure relevance and applicability to the Industrial sector. This scoring methodology aims to provide valuable insights for investors and analysts seeking to evaluate company quality and financial robustness within the Industrial landscape.
The information provided about the Buffett Quality Score is for educational purposes only. This document serves as an illustrative example of financial evaluation methodology and should not be construed as financial advice, investment recommendation, or a guarantee of future performance. Actual results may vary based on individual circumstances and specific factors affecting each company. We recommend consulting qualified professionals for personalized financial advice tailored to your individual situation.
