Prop Firm Risk Guard I EonMetrics Prop Firm Risk Guard
Prop Firm Risk Guard is a risk dashboard and position size calculator for prop firm challenge and funded-account traders. It keeps the numbers that decide whether your account survives — the Daily Loss Limit, the Max Drawdown floor and the size of your next trade — on one screen, derived from one shared account state.
Stated plainly up front: PulseWire cannot see your broker account. Your balance and today's P&L are MANUAL inputs — you type them in, the script does the limit math and the sizing math. Entry, Stop and Take Profit are also yours: the script never calculates or suggests any of them, it only draws the levels you decided on and does the arithmetic. The only live, price-driven element is the Entry/SL/TP lines and their cross alerts. No signals, no trade suggestions.
🔶 WHY ONE SCRIPT
A challenge usually fails through one compounding mistake: a trade sized without checking how much of today's loss allowance is actually left, so a routine stop-out becomes a daily breach. That check only works when the daily limit, the drawdown floor and the position size are computed from the same account state at the same moment — which is why they are one dashboard instead of separate tools you would have to cross-reference by hand. The last sizing row makes the link explicit: it compares one full stop-out against your remaining daily room and turns red BEFORE the trade if it doesn't fit.
🔶 WHAT IT DOES
Daily Loss Limit — enter your firm's daily loss % and its basis (starting or current balance). Today's P&L is a NET number, wins offset losses. Because firms word this rule two ways, both models are supported: Floor (the day has a fixed equity floor, so intraday profit adds room before it — the common model) and Hard Cap (the allowed loss is fixed, profit does not extend it). The table shows the remaining allowance in money and a status ladder: OK → CAUTION (50% used) → DANGER (80%) → BREACHED.
Max Drawdown — Static (floor fixed below the starting balance) or Trailing (floor follows the equity high-water mark). Shows the floor as an actual money level and the buffer above it, with the same status ladder.
Position sizing — risk per trade as % of balance or a fixed amount, planned entry (or live price) and stop. Returns the size in units, the forex conversion to 100k lots and the notional value. A Contract Multiplier input keeps the math correct on futures (e.g. ES = 50, GC = 100) as well as stocks, crypto and forex.
Take Profit (optional) — add your own TP price to see the R:R ratio and the money gain if it hits, using the same calculated size. If the TP sits on the wrong side of entry for your direction, the cell flags it instead of showing a meaningless ratio.
Entry / SL / TP lines — your levels drawn on the chart, with three alert conditions that fire when price crosses any of them.
🔶 HOW TO USE
1. Settings → Account: starting balance, current balance; high-water mark for trailing-drawdown firms (0 = auto).
2. Prop Firm Rules: copy the exact numbers and models from your firm's dashboard.
3. During the session, keep Today's P&L updated — the daily section only knows what you tell it.
4. Before a trade: set risk, entry and stop; read the size; make sure the last row is not red.
5. Optional: add a TP for R:R, and set alerts on the three price-cross conditions.
🔶 SETTINGS
Account (balances, high-water mark) · Prop Firm Rules (daily loss % + basis + Floor/Hard Cap, max drawdown % + Static/Trailing, profit target) · Today's P&L · Position Sizing (risk mode, entry/stop/TP, contract multiplier, lines toggle) · Table (position, text size).
This tool does the arithmetic of your firm's rules and your own trade plan. It does not know your account, does not predict anything and does not tell you what to trade.
Part of the EonMetrics toolset.
Indicator
Risk Management Engine | AnonycryptousRisk management engine | Anonycryptous
Description & user manual
Important notice — read first.
Why is this indicator different?
Most indicators in this collection focus on reading the market — structure, momentum, sessions, entries.
That was the moment I thought of an indicator, one that protects you and gives you the opportunity to train your discipline.
It was also supposed to be a free indicator; too many people trading aimlessly and soullessly due to the many losses or are victims of so-called gurus.
As said, most risk managers looking at many things, but not at the most important one, the Trader himself.
Risk management engine does none of that. It does not look at price at all.
It looks only at you, at every input you do, and as soon as you make a mistake or reach your limit, it holds up a mirror to you.
Where other indicators help you find trades, Risk management engine exists to make sure the trades you find do not destroy the account you are trading with. It is the only tool in this collection that is entirely about the trader rather than the market. That makes it, in many ways, the most important one.
You can be right about the market and still blow your account. Risk management engine is the system that prevents that — but only if you use it honestly.
* Note: Risk management engine does not generate trading signals.
- It does not tell you when to buy or sell.
- It does not predict market direction.
- It does not replace your trading strategy or technical analysis.
-What it does
You simply trade using your own strategy/technical analysis, and you use the Risk Management Engine for account management.
The indicator shows you potential entry, stop-loss, and 3 targets.
If your own strategy says entry, the Risk Management Engine shows you the number of max contracts, and especially your stop-loss and potential targets, based on your entered account details.
-What it does more: it holds up a mirror.
Every number on the dashboard is a reflection of your own decisions — your stop placement, your risk tier, your trade results, your discipline. The system tracks what you tell it. It enforces nothing automatically. It stops nothing by force.
This means one thing matters above all else: your honesty with yourself.
It is easy to disable the lockout when the chart goes red. It is easy to skip logging a trade you are not proud of. It is easy to set your tier to full when you should be at half. It is easy to pretend a violation did not happen.
The moment you start deceiving the system, you are not deceiving the indicator. You are deceiving yourself. And the market will make sure you pay for that eventually.
Risk management engine is a tool for traders who are ready to be accountable — not for traders looking for a way around their own rules.
Use it in honestly.
Use it with discipline.
1. Overview
Risk management engine is a real-time risk compliance and position sizing dashboard for traders of all styles and instruments — from futures scalpers on funded accounts to retail forex traders managing their own capital.
The core philosophy is straightforward: before you enter a trade, you should know exactly how much you are risking, how many contracts you are allowed to trade, where your stop is, and where your targets are. After you close a trade, you log the result. The system tracks your session progress, warns you when you are approaching limits, and locks the chart when you have reached them.
Everything is manual. Everything is intentional. Manual logging forces conscious decisions. Conscious decisions build the habit of accountability that separates disciplined traders from impulsive ones.
2. Who this is for
- Prop firm traders tracking daily drawdown limits
- Funded account traders using tiered risk rules
- Retail traders who want a personal risk framework
- Scalpers who need position size calculated instantly
- Any trader who wants structure-based stops
- Anyone who needs visual accountability on their chart
- Traders recovering from a drawdown period
- Traders building consistency through disciplined journaling
This indicator is for traders who understand that risk management is not a constraint on profitability — it is the foundation of it.
3. Core concepts
3.1 The tiered risk system
Risk management engine uses a three-tier risk framework that reflects your performance state during a session. You set your tier manually based on your results. The system then calculates your allowed position size for that tier.
Full — 100% of calculated risk per trade.
Use at the start of a clean session. No deficit carried over. No losses taken yet today.
Half — 50% of calculated risk per trade.
Use after your first losing trade. You are still in the session but at reduced size. Protect the drawdown.
Quarter — 25% of calculated risk per trade.
Use after a second loss or after a rule violation. Minimum exposure. Your only goal is to stop the bleeding and potentially work back toward promotion.
The tier does not change automatically. You change it. That is by design. The moment of demotion is a conscious act of discipline — not something that happens to you, but something you choose to do because you respect the rules.
3.2 Position sizing
Before every trade, risk engine calculates exactly how many contracts you are allowed to trade based on:
- Your daily loss limit
- Your max risk percentage per trade
- Your current risk tier
- Your stop distance in ticks
- Your tick value
The formula is:
Risk amount = daily loss limit × max risk % × tier multiplier
Contracts = floor(risk amount / (stop distance in ticks × tick value))
Example (mnq):
Daily loss limit: $500
Max risk %: 2%
Tier: full (1.0×)
Stop distance: 20 ticks
Tick value: $0.50
Risk amount = $500 × 2% × 1.0 = $10.00
Contracts = floor($10.00 / (20 × $0.50)) = floor($10.00 / $10.00) = 1
You are allowed 1 mnq contract on this setup.
3.3 Structure-based stops
Instead of placing stops at arbitrary price levels based on fear or round numbers, Risk management engine calculates stops from recent pivot structure:
- Long setup: stop below the most recent pivot low plus buffer
- Short setup: stop above the most recent pivot high plus buffer
The buffer is measured in ticks and gives your trade breathing room beyond the exact pivot level. Stops that respect market structure are more meaningful than stops placed at random.
You can also disable the auto-pivot stop and enter a manual stop price if you prefer to set your own level.
3.4 Risk/reward visualization
Once your stop is set, three take profit levels are drawn on the chart automatically based on your risk distance:
- Tp1 = entry + (stop distance × rr1 ratio)
- Tp2 = entry + (stop distance × rr2 ratio)
- Tp3 = entry + (stop distance × rr3 ratio)
Default ratios: 1:1, 1:2, 1:3 — all adjustable.
A red risk zone box fills the area between entry and stop. A green reward zone box fills the area between entry and tp1. This gives you an immediate visual read on the asymmetry of your planned trade before you enter.
If the red box looks bigger than the green box — reconsider!
3.5 The carryover system
When you are demoted from one tier to a lower tier, you carry a deficit from that session into the next. You must earn back half of what you lost before you are eligible to promote back to a higher tier.
Example:
You lost 12 points at full tier.
You are demoted to half.
Your carryover deficit = 12 points.
Your promotion threshold = 12 / 2 = 6 points.
At half tier in the next session, you log your results.
The dashboard shows: 3.5 / 6.0
You still need 2.5 more points to promote back to full.
Quarter risk violation special case:
If you had a rule violation at quarter tier, an additional deficit is added on top of the standard carryover. You must dig out of a deeper hole — because violations carry consequences, not just losses.
3.6 Session lockout
The session ends and the chart is covered with a status overlay when any of the following occur:
- Daily target reached — green overlay, walk away with the win
- Maximum trades reached — red overlay, session over
- Maximum losses reached — red overlay, session over
- Rule violation logged — red overlay, immediate lockout
The lockout can be disabled in settings. There is a tooltip that reads: "Disable at your own peril."
That is not a joke. The lockout exists for a reason. Traders who disable it and continue trading after a lockout trigger are making a choice that the system cannot protect them from. Only their own discipline can.
4. Understanding result units
Risk management engine supports four result units to match how you measure your own performance:
Points — price distance between entry and exit. Common for futures traders.
Ticks — smallest price increment. One point equals the number of ticks per point for your instrument.
Dollar — direct monetary result. Works for any instrument.
Percent — result as a percentage of your account or reference value.
Choose the unit that matches how you think about your trades. Consistency matters more than which unit you pick. Do not switch mid-session.
For mnq, points is the most natural unit. For crypto or equity traders, dollar is usually clearer.
5. Settings overview
Account & risk
- Daily loss limit
- Max risk per trade (%)
- Daily target
- Max trades per session
- Max losses per session
- Tick value
- Ticks per point
Risk tier
- Current tier (full / half / quarter)
- Carryover deficit
- Promotion threshold
Stop settings
- Auto-pivot stop on/off
- Pivot lookback
- Stop buffer (ticks)
- Manual stop price
Risk/reward
- Rr1, rr2, rr3 ratios
- Visual zone colors
Trade log
- Up to 10 trade slots
- Tier per trade
- Result per trade
- Violation flag
Result units
- Points / ticks / dollar / percent
Session lockout
- Enable/disable
- Overlay color
Dashboard
- Position
- Size
6. Dashboard reference
The dashboard updates in real time as you log trades.
Rows displayed:
- Risk tier — current tier
- Contracts — allowed contracts for this setup
- Risk amount — dollar risk for this trade
- Stop — calculated stop price
- Tp1 / tp2 / tp3 — take profit levels
- Session p&l — cumulative result this session
- Trades — trades logged / max trades
- Losses — losses logged / max losses
- Target — progress toward daily target
- Carryover — deficit / promotion threshold
- Status — active / target hit / locked
Header color reflects current session health: green for active and progressing, red for locked or in violation.
7. How to use
7.1 Before the session
1. Set your daily loss limit and daily target
2. Set your tick value and ticks per point for your instrument
3. Set your risk/reward ratios
4. Set your starting tier (usually full if no carryover)
5. Update carryover deficit if you are carrying one from a previous session
6. Clear all trade log slots from yesterday
7.2 Before each trade
1. Check the dashboard — confirm your tier and allowed contracts
2. Identify your stop level — either auto-pivot or manual
3. Read the rr visualization on the chart — entry, stop, tp levels
4. Confirm the asymmetry looks acceptable before entering
7.3 After each trade
1. Open indicator settings
2. Go to the trade log section
3. Find the next empty trade slot
4. Select the tier you actually used
5. Enter the result in your chosen unit — positive for a win, negative for a loss
6. Close settings — dashboard updates instantly
Do this every time. No exceptions. Not logging a trade because you do not like the result is the first step toward self-deception.
7.4 Mid-session adjustments
After a loss — manually change your tier to half.
After a second loss — change to quarter.
After a violation — log it as violation, accept the lockout.
The system recalculates allowed contracts and shows your new promotion threshold automatically.
7.5 Session end
When the session ends:
- Target hit: walk away. Do not give it back.
- Locked out by losses: walk away. Come back tomorrow.
- Violation: accept the consequence. Log it honestly.
Manual reset for next session:
1. Clear all trade log slots back to none / 0
2. Update carryover deficit if you are carrying one
3. Set your new starting tier
4. Adjust daily loss limit if needed for the new day
8. Tips & best practices
8.1 The most important rule
Log every trade. Immediately after it closes. Not later. Not after "one more trade." Right now.
The discipline of immediate logging is itself a trading skill. It keeps you present, accountable, and aware of exactly where you stand at all times.
8.2 Respect the tier system
The tier system only works if you apply it consistently.
If you take a loss and stay at full because "it was a good setup" or "the market was unusual today" — you are not using the system. You are using the system when it is convenient and ignoring it when it is not.
Apply the demotion every time, without exception. The whole point of the tier system is that it removes the emotional decision from the equation. Commit to the rules before the session starts, not in the middle of a losing run.
8.3 Do not move your sto
The contracts allowed calculation is based on your stop distance. If you move your stop wider to give the trade more room, your actual risk per trade increases beyond what the system calculated. You are now taking more risk than the dashboard shows.
If you want a wider stop — recalculate. Accept fewer contracts. Do not silently increase your exposure.
8.4 The lockout is there for a reason
When the chart goes red and the lockout appears, there is a setting that lets you disable it. Do not use it.
The lockout exists because the rules exist. If you have reached your maximum losses or maximum trades, continuing to trade means operating outside your rules — which means operating in a state where previous decisions have already shown your judgment is impaired for the day.
Come back tomorrow. The market will still be there.
8.5 Target hit means stop
When the dashboard shows target hit and the chart goes green — that is the signal to stop. Not to "go for one more." Not to "see if the trend continues."
Most traders who blow accounts do not do it on bad days. They do it on good days when they got overconfident after hitting their target and kept trading. Walk away with the win. That is a skill.
8.6 Setting realistic targets and limits
Your daily loss limit should be a number that, if lost, does not materially damage your account or your psychology.
Your daily target should be a number that is achievable on a normal day — not your best day ever. Consistent achievement of a realistic target builds an account faster than occasional achievement of an aggressive target.
A useful starting framework:
- Daily loss limit: 2–5% of account
- Max risk per trade: 1–2% of daily loss limit
- Daily target: 2–3× your average risk per trade
- Max trades: 3–5
- Max losses: 2–3
Adjust based on your instrument, style, and account size.
8.7 Instrument tick value setup
The single most common setup error is entering the wrong tick value. If your contracts allowed number seems too high or too low, check your tick value and ticks per point first.
- Mnq: tick value = $0.50, ticks per point = 4
- Es: tick value = $12.50, ticks per point = 4
- Crypto in dollar mode: set tick value to match your contract specification or use dollar result unit
9. What this indicator does not do
- Does not generate buy or sell signals
- Does not predict market direction
- Does not connect to your broker
- Does not automatically stop you from trading
- Does not track open positions in real time
- Does not replace your trading strategy
- Does not guarantee profitability
- Does not prevent violations — you must log them yourself
This is an accountability tool. The accountability only works if you bring the honesty. The indicator brings the structure. You bring the discipline.
10. Disclaimer
This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation.
All trading decisions are made entirely by the user. The indicator provides calculation tools based on user-entered parameters — the accuracy of any output depends entirely on the accuracy of those inputs.
Trading financial instruments involves substantial risk of loss. Past performance is not indicative of future results. You may lose all of your invested capital.
Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using risk engine or any content in this manual. Indicator
Discipline Guard [CrestAlgo]Discipline Guard
🔍 What This Indicator Does
Every trader has sessions they should avoid. The post-lunch chop. The pre-market noise. The late-night revenge trade window. You know these windows exist because your journal proves it. The problem is remembering in the moment.
Discipline Guard is a behavioral guardrail that visually obscures the chart during user-defined time windows where you have identified that you tend to underperform. It serves as a pattern-interrupt: a deliberate visual barrier between you and a trade you should not be taking.
This is not a signal indicator. It does not tell you what to trade. It tells you when to stop.
🛑 How It Works — The Four Stages
The indicator uses a progressive warning system so you are never caught off guard mid-position:
Stage 1 — Early Warning (15 minutes before window)
A subtle amber tint appears on the chart background. This is your cue to begin winding down any open positions and stop scanning for new setups.
Stage 2 — Approaching (5 minutes before window)
The amber tint deepens and a warning label appears above the current bar showing the window name. Final warning before the blackout begins.
Stage 3 — Active Block (during the window)
The chart is covered with a configurable-opacity dark overlay and a centered message. The default reads "NO-TRADE ZONE — SCHEDULED PAUSE" but you can customize it to anything. This is the core of the indicator — making it psychologically harder to enter a trade during your known bad window.
Stage 4 — Recovery (5 minutes after window ends)
The overlay fades gradually back to a clean chart. This gives you a moment to recalibrate before re-engaging.
The progressive ramp can be toggled off if you prefer an instant blackout with no lead-in.
🌍 Per-Window Timezone Support
Each window has its own timezone selector with 14 options covering all major trading sessions:
America/New_York (default), America/Chicago, America/Los_Angeles, Europe/London, Europe/Amsterdam, Europe/Frankfurt, Asia/Tokyo, Asia/Hong_Kong, Asia/Singapore, Asia/Shanghai, Asia/Dubai, Australia/Sydney, UTC, and Chart (uses the symbol's exchange timezone).
This means you can configure one window for the NY lunch chop in Eastern time and another for the London close in GMT on the same chart. Each window resolves its own day-of-week and time-of-day independently.
⚙️ Configuration
Up to 5 independent no-trade windows can be configured. Each window has:
Enable/Disable toggle
Custom label (e.g., "Post-Lunch Slump", "Pre-FOMC", "Revenge Trade Zone")
Timezone selector (14 options)
Day-of-week checkboxes (Mon through Sun)
Start and end time in 24-hour HHMM-HHMM format
Visual settings (global):
Blackout color (default: near-black #0A0A0A)
Blackout opacity (40-95%, default 70%)
Warning tint color (default: amber)
Warning symbol (🛑 🚫 ⛔ ❌ 🔒 ⚠️)
Custom blackout message text
Message font size (Small / Medium / Large / Huge)
Progressive ramp toggle (on/off)
Historical display:
Show Historical Windows toggle (off by default — keeps your chart clean)
Realtime Range (how many bars back from current to shade, default 48)
🔔 Alerts
Two alert conditions are available:
Window approaching (fires when Stage 2 begins, 5 minutes before the blackout)
Window active (fires when Stage 3 begins)
To set an alert: right-click the indicator name on your chart → "Add alert on Discipline Guard."
🕐 Timeframe Compatibility
This indicator works on all timeframes and all markets (futures, stocks, forex, crypto, commodities, indices).
For the full four-stage progressive warning to render correctly, use on timeframes of 15 minutes or less. On higher timeframes (1H, 4H, Daily), the warning stages may collapse onto a single bar since each bar spans more time than the 15-minute lead-in window. The blackout itself works correctly on all timeframes.
Practical guidance:
1m to 5m: Full progressive ramp renders smoothly. Ideal for day traders and scalpers.
15m: Warning stages may render on only 1 bar each. Still functional.
1H and above: Use with progressive ramp disabled (instant blackout mode). The blackout still activates at the correct time.
📐 Default Configuration
Window 1 is enabled out of the box:
Label: "NY Post-Lunch Slump"
Timezone: America/New_York
Time: 13:00 – 13:30 ET
Days: Monday through Friday
This targets the well-known low-volume, choppy lunch period in US equity index futures trading. Adjust or disable it to match your own trading journal findings.
Windows 2-5 are pre-configured with common session labels (NY Pre-Open, London Lunch, Tokyo Fix, Custom) but disabled by default. Enable and adjust them to fit your own discipline rules.
⚠️ Limitations
This indicator enforces time-based discipline rules. It does not analyze price action, volume, or any market data beyond the current bar's timestamp.
The timing logic is derived from bar timestamps, not a separate wall clock. On inactive symbols where bars do not print continuously, the warning stages may not appear if no bar falls within the warning window.
Windows that cross midnight in their configured timezone (e.g., 23:30 to 00:30) require both days to be enabled in the day-of-week settings. Each day is evaluated independently.
The blackout is a visual overlay only. It does not prevent order execution or interact with your broker in any way. You can still place trades during a blackout if you choose to. The decision is always yours.
⚖️ Disclaimer
This indicator is a behavioral visualization tool for educational and informational purposes only. It does not constitute financial, investment, or trading advice. It does not generate trade signals, recommendations, or any form of market analysis.
No representation is made that using this tool will improve trading performance, reduce losses, or produce any specific result. Trading discipline is a personal responsibility. This tool provides a visual reminder; it does not guarantee behavioral change.
Trading futures, options, and other financial instruments involves substantial risk of loss and is not appropriate for all investors. Past performance is not indicative of future results. Indicator
Indicator
Profit Punch: Risk & Target Planner (ATR + Fixed R)Profit Punch: Risk & Target Planner (ATR + Fixed R)
This indicator is a complete trade planning tool designed to visualize your Risk (R) and Reward levels instantly. Whether you use a volatility-based strategy (ATR) or precise manual levels, this tool draws your roadmap directly on the chart.
It solves the problem of calculating "R-Multiples" manually and ensures every trade plan is consistent.
Key Features
1. Smart Risk Calculation
Auto Mode (ATR): Uses the stock's daily volatility (ATR) to automatically suggest a logical Stop Loss.
Manual Mode: Lets you type in your exact Stop Loss price (e.g., below a recent low), and the tool automatically adjusts your Profit Targets to match that specific risk.
2. Hybrid Targeting (The "Nuance")
You can set a tight manual stop but keep your profit targets based on daily volatility (ATR). This allows for "Hybrid" setups where you risk a small amount (tight stop) but aim for a standard volatility move (ATR targets).
3. Backtesting Friendly
Use the "Target Date" feature to apply the tool to any past candle. It will calculate the targets based on what the volatility was on that specific day , allowing you to accurately review past trades.
4. Clean & Customizable
Editable Labels: Rename "1R" to "Goal 1" or "Take Profit".
Clean Look: Toggle any line on/off to keep your chart simple.
Timeframe Independent: Calculations are always anchored to Daily data for consistency, even if you are viewing a 5-minute chart.
How to Use
Step 1: Add to Chart. The lines will appear on the latest bar by default.
Step 2: Set Entry. In Settings, check "Use Manual Entry" to type your exact buy price, or leave unchecked to use the closing price.
Step 3: Set Stop. Choose "Auto (ATR)" for a volatility-based stop, or "Manual Price" to type in your specific stop level.
Step 4: Visualize. The tool draws your 1R, 3R, 5R, and 7R targets instantly.
Settings Guide
Risk Factor: Multiplier for the ATR calculation (Default is 1.5).
Target Base: Choose whether profit targets are multiples of your Stop Distance (Classic) or Fixed ATR (Volatility).
Custom Labels: Change the text displayed on the chart (e.g., "Safe Exit" instead of "1R").
Who is this for?
This tool is built for swing traders, educators, and anyone who uses "R-Multiples" (Risk Units) to manage their portfolio. It is especially useful for creating consistent trade plan screenshots. Indicator
Mutanabby_AI | Algo Pro Strategy# Mutanabby_AI | Algo Pro Strategy: Advanced Candlestick Pattern Trading System
## Strategy Overview
The Mutanabby_AI Algo Pro Strategy represents a systematic approach to automated trading based on advanced candlestick pattern recognition and multi-layered technical filtering. This strategy transforms traditional engulfing pattern analysis into a comprehensive trading system with sophisticated risk management and flexible position sizing capabilities.
The strategy operates on a long-only basis, entering positions when bullish engulfing patterns meet specific technical criteria and exiting when bearish engulfing patterns indicate potential trend reversals. The system incorporates multiple confirmation layers to enhance signal reliability while providing comprehensive customization options for different trading approaches and risk management preferences.
## Core Algorithm Architecture
The strategy foundation relies on bullish and bearish engulfing candlestick pattern recognition enhanced through technical analysis filtering mechanisms. Entry signals require simultaneous satisfaction of four distinct criteria: confirmed bullish engulfing pattern formation, candle stability analysis indicating decisive price action, RSI momentum confirmation below specified thresholds, and price decline verification over adjustable lookback periods.
The candle stability index measures the ratio between candlestick body size and total range including wicks, ensuring only well-formed patterns with clear directional conviction generate trading signals. This filtering mechanism eliminates indecisive market conditions where pattern reliability diminishes significantly.
RSI integration provides momentum confirmation by requiring oversold conditions before entry signal generation, ensuring alignment between pattern formation and underlying momentum characteristics. The RSI threshold remains fully adjustable to accommodate different market conditions and volatility environments.
Price decline verification examines whether current prices have decreased over a specified period, confirming that bullish engulfing patterns occur after meaningful downward movement rather than during sideways consolidation phases. This requirement enhances the probability of successful reversal pattern completion.
## Advanced Position Management System
The strategy incorporates dual position sizing methodologies to accommodate different account sizes and risk management approaches. Percentage-based position sizing calculates trade quantities as equity percentages, enabling consistent risk exposure across varying account balances and market conditions. This approach proves particularly valuable for systematic trading approaches and portfolio management applications.
Fixed quantity sizing provides precise control over trade sizes independent of account equity fluctuations, offering predictable position management for specific trading strategies or when implementing precise risk allocation models. The system enables seamless switching between sizing methods through simple configuration adjustments.
Position quantity calculations integrate seamlessly with PulseWire's strategy testing framework, ensuring accurate backtesting results and realistic performance evaluation across different market conditions and time periods. The implementation maintains consistency between historical testing and live trading applications.
## Comprehensive Risk Management Framework
The strategy features dual stop loss methodologies addressing different risk management philosophies and market analysis approaches. Entry price-based stop losses calculate stop levels as fixed percentages below entry prices, providing predictable risk exposure and consistent risk-reward ratio maintenance across all trades.
The percentage-based stop loss system enables precise risk control by limiting maximum loss per trade to predetermined levels regardless of market volatility or entry timing. This approach proves essential for systematic trading strategies requiring consistent risk parameters and capital preservation during adverse market conditions.
Lowest low-based stop losses identify recent price support levels by analyzing minimum prices over adjustable lookback periods, placing stops below these technical levels with additional buffer percentages. This methodology aligns stop placement with market structure rather than arbitrary percentage calculations, potentially improving stop loss effectiveness during normal market fluctuations.
The lookback period adjustment enables optimization for different timeframes and market characteristics, with shorter periods providing tighter stops for active trading and longer periods offering broader stops suitable for position trading approaches. Buffer percentage additions ensure stops remain below obvious support levels where other market participants might place similar orders.
## Visual Customization and Interface Design
The strategy provides comprehensive visual customization through eight predefined color schemes designed for different chart backgrounds and personal preferences. Color scheme options include Classic bright green and red combinations, Ocean themes featuring blue and orange contrasts, Sunset combinations using gold and crimson, and Neon schemes providing high visibility through bright color selections.
Professional color schemes such as Forest, Royal, and Fire themes offer sophisticated alternatives suitable for business presentations and professional trading environments. The Custom color scheme enables precise color selection through individual color picker controls, maintaining maximum flexibility for specific visual requirements.
Label styling options accommodate different chart analysis preferences through text bubble, triangle, and arrow display formats. Size adjustments range from tiny through huge settings, ensuring appropriate visual scaling across different screen resolutions and chart configurations. Text color customization maintains readability across various chart themes and background selections.
## Signal Quality Enhancement Features
The strategy incorporates signal filtering mechanisms designed to eliminate repetitive signal generation during choppy market conditions. The disable repeating signals option prevents consecutive identical signals until opposing conditions occur, reducing overtrading during consolidation phases and improving overall signal quality.
Signal confirmation requirements ensure all technical criteria align before trade execution, reducing false signal occurrence while maintaining reasonable trading frequency for active strategies. The multi-layered approach balances signal quality against opportunity frequency through adjustable parameter optimization.
Entry and exit visualization provides clear trade identification through customizable labels positioned at relevant price levels. Stop loss visualization displays active risk levels through colored line plots, ensuring complete transparency regarding current risk management parameters during live trading operations.
## Implementation Guidelines and Optimization
The strategy performs effectively across multiple timeframes with optimal results typically occurring on intermediate timeframes ranging from fifteen minutes through four hours. Higher timeframes provide more reliable pattern formation and reduced false signal occurrence, while lower timeframes increase trading frequency at the expense of some signal reliability.
Parameter optimization should focus on RSI threshold adjustments based on market volatility characteristics and candlestick pattern timeframe analysis. Higher RSI thresholds generate fewer but potentially higher quality signals, while lower thresholds increase signal frequency with corresponding reliability considerations.
Stop loss method selection depends on trading style preferences and market analysis philosophy. Entry price-based stops suit systematic approaches requiring consistent risk parameters, while lowest low-based stops align with technical analysis methodologies emphasizing market structure recognition.
## Performance Considerations and Risk Disclosure
The strategy operates exclusively on long positions, making it unsuitable for bear market conditions or extended downtrend periods. Users should consider market environment analysis and broader trend assessment before implementing the strategy during adverse market conditions.
Candlestick pattern reliability varies significantly across different market conditions, with higher reliability typically occurring during trending markets compared to ranging or volatile conditions. Strategy performance may deteriorate during periods of reduced pattern effectiveness or increased market noise.
Risk management through stop loss implementation remains essential for capital preservation during adverse market movements. The strategy does not guarantee profitable outcomes and requires proper position sizing and risk management to prevent significant capital loss during unfavorable trading periods.
## Technical Specifications
The strategy utilizes standard PulseWire Pine Script functions ensuring compatibility across all supported instruments and timeframes. Default configuration employs 14-period RSI calculations, adjustable candle stability thresholds, and customizable price decline verification periods optimized for general market conditions.
Initial capital settings default to $10,000 with percentage-based equity allocation, though users can adjust these parameters based on account size and risk tolerance requirements. The strategy maintains detailed trade logs and performance metrics through PulseWire's integrated backtesting framework.
Alert integration enables real-time notification of entry and exit signals, stop loss executions, and other significant trading events. The comprehensive alert system supports automated trading applications and manual trade management approaches through detailed signal information provision.
## Conclusion
The Mutanabby_AI Algo Pro Strategy provides a systematic framework for candlestick pattern trading with comprehensive risk management and position sizing flexibility. The strategy's strength lies in its multi-layered confirmation approach and sophisticated customization options, enabling adaptation to various trading styles and market conditions.
Successful implementation requires understanding of candlestick pattern analysis principles and appropriate parameter optimization for specific market characteristics. The strategy serves traders seeking automated execution of proven technical analysis techniques while maintaining comprehensive control over risk management and position sizing methodologies. Strategy
Mutanabby_AI | Fresh Algo V24Mutanabby_AI | Fresh Algo V24: Advanced Multi-Mode Trading System
Overview
The Mutanabby_AI Fresh Algo V24 represents a sophisticated evolution of multi-component trading systems that adapts to various market conditions through advanced operational configurations and enhanced analytical capabilities. This comprehensive indicator provides traders with multiple signal generation approaches, specialized assistant functions, and dynamic risk management tools designed for professional market analysis across diverse trading environments.
Primary Signal Generation Framework
The Fresh Algo V24 operates through two fundamental signal generation approaches that accommodate different market perspectives and trading philosophies. The Trending Signals Mode serves as the primary trend-following mechanism, combining Wave Trend Oscillator analysis with Supertrend directional signals and Squeeze Momentum breakout detection. This mode incorporates ADX filtering that requires values exceeding 20 to ensure sufficient trend strength exists before signal activation, making it particularly effective during sustained directional market movements where momentum persistence creates profitable trading opportunities.
The Contrarian Signals Mode provides an alternative approach targeting reversal opportunities through extreme market condition identification. This mode activates when the Wave Trend Oscillator reaches critical threshold levels, specifically when readings surpass 65 indicating potential bearish reversal conditions or drop below 35 suggesting bullish reversal opportunities. This methodology proves valuable during overextended market phases where mean reversion becomes statistically probable.
Advanced Filtering Mechanisms
The system incorporates multiple sophisticated filtering mechanisms designed to enhance signal quality and reduce false positive occurrences. The High Volume Filter requires volume expansion confirmation before signal activation, utilizing exponential moving average calculations to ensure institutional participation accompanies price movements. This filter substantially improves signal reliability by eliminating low-conviction breakouts that lack adequate volume support from professional market participants.
The Strong Filter provides additional trend confirmation through 200-period exponential moving average analysis. Long position signals require price action above this benchmark level, while short position signals necessitate price action below it. This ensures strategic alignment with longer-term trend direction and reduces the probability of trading against major market movements that could invalidate shorter-term signals.
Cloud Filter Configuration System
The Fresh Algo V24 offers four distinct cloud filter configurations, each optimized for specific trading timeframes and market approaches. The Smooth Cloud Filter utilizes the mathematical relationship between 150-period and 250-period exponential moving averages, providing stable trend identification suitable for position trading strategies. This configuration generates signals exclusively when price action aligns with cloud direction, creating a more deliberate but highly reliable signal generation process.
The Swing Cloud Filter employs modified Supertrend calculations with parameters specifically optimized for swing trading timeframes. This filter achieves optimal balance between responsiveness and stability, adapting effectively to medium-term price movements while filtering excessive market noise that typically affects shorter-term analytical systems.
For active intraday traders, the Scalping Cloud Filter utilizes accelerated Supertrend calculations designed to capture rapid trend changes effectively. This configuration provides enhanced signal generation frequency suitable for compressed timeframe strategies. The advanced Scalping+ Cloud Filter incorporates Hull Moving Average confirmation, delivering maximum responsiveness for ultra-short-term trading while maintaining signal quality through additional momentum validation processes.
Specialized Assistant Functionality
The system includes two distinct assistant modes that provide supplementary market analysis capabilities. The Trend Assistant Mode activates advanced cloud analysis overlays that display dynamic support and resistance zones calculated through adaptive volatility algorithms. These levels automatically adjust to current market conditions, providing visual guidance for identifying trend continuation patterns and potential reversal areas with mathematical precision.
The Trend Tracker Mode concentrates on long-term trend identification by displaying major exponential moving averages with color-coded fill areas that clarify directional bias. This mode maintains visual simplicity while providing comprehensive trend context evaluation, enabling traders to quickly assess broader market direction and align shorter-term strategies accordingly.
Dynamic Risk Management System
The integrated risk management system automatically adapts across all operational modes, calculating stop loss and take profit targets using Average True Range multiples that adjust to current market volatility. This approach ensures consistent risk parameters regardless of selected operational mode while maintaining relevance to prevailing market conditions.
Stop loss placement occurs at dynamically calculated distances from entry points, while three progressive take profit targets establish at customizable ATR multiples respectively. The system automatically updates these levels upon trend direction changes, ensuring current market volatility influences all risk calculations and maintains appropriate risk-reward ratios throughout trade management.
Comprehensive Market Analysis Dashboard
The sophisticated dashboard provides real-time market analysis including volatility measurements, institutional activity assessment, and multi-timeframe trend evaluation across five-minute through four-hour periods. This comprehensive market context assists traders in selecting appropriate operational modes based on current market characteristics rather than relying exclusively on historical performance data.
The multi-timeframe analysis ensures mode selection considers broader market context beyond the primary trading timeframe, improving overall strategic alignment and reducing conflicts between different temporal market perspectives. The dashboard displays market state classification, volatility percentages, institutional activity levels, current trading session information, and trend pressure indicators with professional formatting and clear visual hierarchy.
Enhanced Trading Assistants
The Fresh Algo V24 includes specialized trading assistant features that complement the primary signal generation system. The Reversal Dot functionality identifies potential reversal points through Wave Trend Oscillator analysis, displaying visual indicators when crossover conditions occur at extreme levels. These reversal indicators provide early warning signals for potential trend changes before they appear in the primary signal system.
The Dynamic Take Profit Labels feature automatically identifies optimal profit-taking opportunities through RSI threshold analysis, marking potential exit points at multiple levels for long positions and corresponding levels for short positions. This automated profit management system helps traders optimize exit timing without requiring constant manual monitoring of technical indicators.
Advanced Alert System
The comprehensive alert system accommodates all operational modes while providing granular notification control for various signal types and risk management events. Traders can configure separate alerts for normal buy signals, strong buy signals, normal sell signals, strong sell signals, stop loss triggers, and individual take profit target achievements.
Cloud crossover alerts notify traders when trend direction changes occur, providing early indication of potential strategy adjustments. The alert system includes detailed trade setup information, timeframe data, and relevant entry and exit levels, ensuring traders receive complete context for informed decision-making without requiring constant chart monitoring.
Technical Foundation Architecture
The Fresh Algo V24 combines multiple proven technical analysis components including Wave Trend Oscillator for momentum assessment, Supertrend for directional bias determination, Squeeze Momentum for volatility analysis, and various exponential moving averages for trend confirmation. Each component contributes specific market insights while the unified system provides comprehensive market evaluation through their mathematical integration.
The multi-component approach reduces dependency on individual indicator limitations while leveraging the analytical strengths of each technical tool. This creates a robust analytical framework capable of adapting to diverse market conditions through appropriate mode selection and parameter optimization, ensuring consistent performance across varying market environments.
Market State Classification
The indicator incorporates advanced market state classification through ADX analysis, distinguishing between trending, ranging, and transitional market conditions. This classification system automatically adjusts signal sensitivity and filtering parameters based on current market characteristics, optimizing performance for prevailing conditions rather than applying static analytical approaches.
The volatility measurement system calculates current market activity levels as percentages, providing quantitative assessment of market energy and helping traders select appropriate operational modes. Institutional activity detection through volume analysis ensures signal generation aligns with professional market participation patterns.
Implementation Strategy Considerations
Successful implementation requires careful matching of operational modes to prevailing market conditions and individual trading objectives. Trending modes demonstrate optimal performance during directional markets with sustained momentum characteristics, while contrarian modes excel during range-bound or overextended market conditions where reversal probability increases.
The cloud filter configurations provide varying degrees of confirmation strength, with smoother settings reducing false signal occurrence at the expense of some responsiveness to price changes. Traders must balance signal quality against signal frequency based on their risk tolerance and available trading time, utilizing the comprehensive customization options to optimize performance for their specific requirements.
Multi-Timeframe Integration
The system provides seamless multi-timeframe analysis through the integrated dashboard, displaying trend alignment across multiple time horizons from five-minute through four-hour periods. This analysis helps traders understand broader market context and avoid conflicts between different temporal perspectives that could compromise trade outcomes.
Session analysis identifies current trading session characteristics, providing context for expected market behavior patterns and helping traders adjust their approach based on typical session volatility and participation levels. This geographic market awareness enhances strategic decision-making and improves timing for trade execution.
Advanced Visualization Features
The indicator includes sophisticated visualization capabilities through gradient candle coloring based on MACD analysis, providing immediate visual feedback on momentum strength and direction. This enhancement allows rapid market assessment without requiring detailed indicator analysis, improving efficiency for traders managing multiple instruments simultaneously.
The cloud visualization system uses color-coded fill areas to clearly indicate trend direction and strength, with automatic adaptation to selected operational modes. This visual clarity reduces analytical complexity while maintaining comprehensive market information display through professional chart presentation.
Performance Optimization Framework
The Fresh Algo V24 incorporates performance optimization features including signal strength classification, automatic parameter adjustment based on market conditions, and dynamic filtering that adapts to current volatility levels. These optimizations ensure consistent performance across varying market environments while maintaining signal quality standards.
The system automatically adjusts sensitivity levels based on selected operational modes, ensuring appropriate responsiveness for different trading approaches. This adaptive framework reduces the need for manual parameter adjustments while maintaining optimal performance characteristics for each operational configuration.
Conclusion
The Mutanabby_AI Fresh Algo V24 represents a comprehensive solution for professional trading analysis, combining multiple analytical approaches with advanced visualization and risk management capabilities. The system's strength lies in its adaptive multi-mode design and sophisticated filtering mechanisms, providing traders with versatile tools for various market conditions and trading styles.
Success with this system requires understanding the relationship between different operational modes and their optimal application scenarios. The comprehensive dashboard and alert system provide essential market context and trade management support, enabling systematic approach to market analysis while maintaining flexibility for individual trading preferences.
The indicator's sophisticated architecture and extensive customization options make it suitable for traders at all experience levels, from those seeking systematic signal generation to advanced practitioners requiring comprehensive market analysis tools. The multi-timeframe integration and adaptive filtering ensure consistent performance across diverse market conditions while providing clear guidelines for strategic implementation. Indicator
Mutanabby_AI | Ultimate Algo | Remastered+Overview
The Mutanabby_AI Ultimate Algo Remastered+ represents a sophisticated trend-following system that combines Supertrend analysis with multiple moving average confirmations. This comprehensive indicator is designed specifically for identifying high-probability trend continuation and reversal opportunities across various market conditions.
Core Algorithm Components
**Supertrend Foundation**: The primary signal generation relies on a customizable Supertrend indicator with adjustable sensitivity (1-20 range). This adaptive trend-following tool uses Average True Range calculations to establish dynamic support and resistance levels that respond to market volatility.
**SMA Confirmation Matrix**: Multiple Simple Moving Averages (SMA 4, 5, 9, 13) provide layered confirmation for signal strength. The algorithm distinguishes between regular signals and "Strong" signals based on SMA 4 vs SMA 5 relationship, offering traders different conviction levels for position sizing.
**Trend Ribbon Visualization**: SMA 21 and SMA 34 create a visual trend ribbon that changes color based on their relationship. Green ribbon indicates bullish momentum while red signals bearish conditions, providing immediate visual trend context.
**RSI-Based Candle Coloring**: Advanced 61-tier RSI system colors candles with gradient precision from deep red (RSI ≤20) through purple transitions to bright green (RSI ≥79). This visual enhancement helps traders instantly assess momentum strength and overbought/oversold conditions.
Signal Generation Logic
**Buy Signal Criteria**:
- Price crosses above Supertrend line
- Close price must be above SMA 9 (trend confirmation)
- Signal strength determined by SMA 4 vs SMA 5 relationship
- "Strong Buy" when SMA 4 ≥ SMA 5
- Regular "Buy" when SMA 4 < SMA 5
**Sell Signal Criteria**:
- Price crosses below Supertrend line
- Close price must be below SMA 9 (trend confirmation)
- Signal strength based on SMA relationship
- "Strong Sell" when SMA 4 ≤ SMA 5
- Regular "Sell" when SMA 4 > SMA 5
Advanced Risk Management System
**Automated TP/SL Calculation**: The indicator automatically calculates stop loss and take profit levels using ATR-based measurements. Risk percentage and ATR length are fully customizable, allowing traders to adapt to different market conditions and personal risk tolerance.
**Multiple Take Profit Targets**:
- 1:1 Risk-Reward ratio for conservative profit taking
- 2:1 Risk-Reward for balanced trade management
- 3:1 Risk-Reward for maximum profit potential
**Visual Risk Display**: All risk management levels appear as both labels and optional trend lines on the chart. Customizable line styles (solid, dashed, dotted) and positioning ensure clear visualization without chart clutter.
**Dynamic Level Updates**: Risk levels automatically recalculate with each new signal, maintaining current market relevance throughout position lifecycles.
Visual Enhancement Features
**Customizable Display Options**: Toggle trend ribbon, TP/SL levels, and risk lines independently. Decimal precision adjustments (1-8 decimal places) accommodate different instrument price formats and personal preferences.
**Professional Label System**: Clean, informative labels show entry points, stop losses, and take profit targets with precise price levels. Labels automatically position themselves for optimal chart readability.
**Color-Coded Momentum**: The gradient RSI candle coloring system provides instant visual feedback on momentum strength, helping traders assess market energy and potential reversal zones.
Implementation Strategy
**Timeframe Optimization**: The algorithm performs effectively across multiple timeframes, with higher timeframes (4H, Daily) providing more reliable signals for swing trading. Lower timeframes work well for day trading with appropriate risk adjustments.
**Sensitivity Adjustment**: Lower sensitivity values (1-5) generate fewer but higher-quality signals, ideal for conservative approaches. Higher sensitivity (15-20) increases signal frequency for active trading styles.
**Risk Management Integration**: Use the automated risk calculations as baseline parameters, adjusting risk percentage based on account size and market conditions. The 1:1, 2:1, 3:1 targets enable systematic profit-taking strategies.
Market Application
**Trend Following Excellence**: Primary strength lies in capturing significant trend movements through the Supertrend foundation with SMA confirmation. The dual-layer approach reduces false signals common in single-indicator systems.
**Momentum Assessment**: RSI-based candle coloring provides immediate momentum context, helping traders assess signal strength and potential continuation probability.
**Range Detection**: The trend ribbon helps identify ranging conditions when SMA 21 and SMA 34 converge, alerting traders to potential breakout opportunities.
Performance Optimization
**Signal Quality**: The requirement for both Supertrend crossover AND SMA 9 confirmation significantly improves signal reliability compared to basic trend-following approaches.
**Visual Clarity**: The comprehensive visual system enables rapid market assessment without complex calculations, ideal for traders managing multiple instruments.
**Adaptability**: Extensive customization options allow fine-tuning for specific markets, trading styles, and risk preferences while maintaining the core algorithm integrity.
## Non-Repainting Design
**Educational Note**: This indicator uses standard PulseWire functions (Supertrend, SMA, RSI) with normal behavior patterns. Real-time updates on current candles are expected and standard across all technical indicators. Historical signals on closed candles remain fixed and unchanged, ensuring reliable backtesting and analysis.
**Signal Confirmation**: Final signals are confirmed only when candles close, following standard technical analysis principles. The algorithm provides clear distinction between developing signals and confirmed entries.
Technical Specifications
**Supertrend Parameters**: Default sensitivity of 4 with ATR length of 11 provides balanced signal generation. Sensitivity range from 1-20 allows adaptation to different market volatilities and trading preferences.
**Moving Average Configuration**: SMA periods of 8, 9, and 13 create multi-layered trend confirmation, while SMA 21 and 34 form the visual trend ribbon for broader market context.
**Risk Management**: ATR-based calculations with customizable risk percentage ensure dynamic adaptation to market volatility while maintaining consistent risk exposure principles.
Recommended Settings
**Conservative Approach**: Sensitivity 4-5, RSI length 14, higher timeframes (4H, Daily) for swing trading with maximum signal reliability.
**Active Trading**: Sensitivity 6-8, RSI length 8-10, intermediate timeframes (1H) for balanced signal frequency and quality.
**Scalping Setup**: Sensitivity 10-15, RSI length 5-8, lower timeframes (15-30min) with enhanced risk management protocols.
## Conclusion
The Mutanabby_AI Ultimate Algo Remastered+ combines proven trend-following principles with modern visual enhancements and comprehensive risk management. The algorithm's strength lies in its multi-layered confirmation approach and automated risk calculations, providing both novice and experienced traders with clear signals and systematic trade management.
Success with this system requires understanding the relationship between signal strength indicators and adapting sensitivity settings to match current market conditions. The comprehensive visual feedback system enables rapid decision-making while the automated risk management ensures consistent trade parameters.
Practice with different sensitivity settings and timeframes to optimize performance for your specific trading style and risk tolerance. The algorithm's systematic approach provides an excellent framework for disciplined trend-following strategies across various market environments. Indicator
ATR Stop-Loss with Fibonacci Take-Profit [jpkxyz]ATR Stop-Loss with Fibonacci Take-Profit Indicator
This comprehensive indicator combines Average True Range (ATR) volatility analysis with Fibonacci extensions to create dynamic stop-loss and take-profit levels. It's designed to help traders set precise risk management levels and profit targets based on market volatility and mathematical ratios.
Two Operating Modes
Default Mode (Rolling Levels)
In default mode, the indicator continuously plots evolving stop-loss and take-profit levels based on real-time price action. These levels update dynamically as new bars form, creating rolling horizontal lines across the chart. I use this mode primarily to plot the rolling ATR-Level which I use to trail my Stop-Loss into profit.
Characteristics:
Levels recalculate with each new bar
All selected Fibonacci levels display simultaneously
Uses plot() functions with trackprice=true for price tracking
Custom Anchor Mode (Fixed Levels)
This is the primary mode for precision trading. You select a specific timestamp (typically your entry bar), and the indicator locks all calculations to that exact moment, creating fixed horizontal lines that represent your actual trade levels.
Characteristics:
Entry line (blue) marks your anchor point
Stop-loss calculated using ATR from the anchor bar
Fibonacci levels projected from entry-to-stop distance
Lines terminate when price breaks through them
Includes comprehensive alert system
Core Calculation Logic
ATR Stop-Loss Calculation:
Stop Loss = Entry Price ± (ATR × Multiplier)
Long positions: SL = Entry - (ATR × Multiplier)
Short positions: SL = Entry + (ATR × Multiplier)
ATR uses your chosen smoothing method (RMA, SMA, EMA, or WMA)
Default multiplier is 1.5, adjustable to your risk tolerance
Fibonacci Take-Profit Projection:
The distance from entry to stop-loss becomes the base unit (1.0) for Fibonacci extensions:
TP Level = Entry + (Entry-to-SL Distance × Fibonacci Ratio)
Available Fibonacci Levels:
Conservative: 0.618, 1.0, 1.618
Extended: 2.618, 3.618, 4.618
Complete range: 0.0 to 4.764 (23 levels total)
Multi-Timeframe Functionality
One of the indicator's most powerful features is timeframe flexibility. You can analyze on one timeframe while using stop-loss and take-profit calculations from another.
Best Practices:
Identify your entry point on execution timeframe
Enable "Custom Anchor" mode
Set anchor timestamp to your entry bar
Select appropriate analysis timeframe
Choose relevant Fibonacci levels
Enable alerts for automated notifications
Example Scenario:
Analyse trend on 4-hour chart
Execute entry on 5-minute chart for precision
Set custom anchor to your 5-minute entry bar
Configure timeframe setting to "4h" for swing-level targets
Select appropriate Fibonacci Extension levels
Result: Precise entry with larger timeframe risk management
Visual Intelligence System
Line Behaviour in Custom Anchor Mode:
Active levels: Lines extend to the right edge
Hit levels: Lines terminate at the breaking bar
Entry line: Always visible in blue
Stop-loss: Red line, terminates when hit
Take-profits: Green lines (1.618 level in gold for emphasis)
Customisation Options:
Line width (1-4 pixels)
Show/hide individual Fibonacci levels
ATR length and smoothing method
ATR multiplier for stop-loss distance
Indicator
Strategy
Indicator
Intramarket Difference Index StrategyHi Traders !!
The IDI Strategy:
In layman’s terms this strategy compares two indicators across markets and exploits their differences.
note: it is best the two markets are correlated as then we know we are trading a short to long term deviation from both markets' general trend with the assumption both markets will trend again sometime in the future thereby exhausting our trading opportunity.
📍 Import Notes:
This Strategy calculates trade position size independently (i.e. risk per trade is controlled in the user inputs tab), this means that the ‘Order size’ input in the ‘Properties’ tab will have no effect on the strategy. Why ? because this allows us to define custom position size algorithms which we can use to improve our risk management and equity growth over time. Here we have the option to have fixed quantity or fixed percentage of equity ATR (Average True Range) based stops in addition to the turtle trading position size algorithm.
‘Pyramiding’ does not work for this strategy’, similar to the order size input togeling this input will have no effect on the strategy as the strategy explicitly defines the maximum order size to be 1.
This strategy is not perfect, and as of writing of this post I have not traded this algo.
Always take your time to backtests and debug the strategy.
🔷 The IDI Strategy:
By default this strategy pulls data from your current TV chart and then compares it to the base market, be default BINANCE:BTCUSD . The strategy pulls SMA and RSI data from either market (we call this the difference data), standardizes the data (solving the different unit problem across markets) such that it is comparable and then differentiates the data, calling the result of this transformation and difference the Intramarket Difference (ID). The formula for the the ID is
ID = market1_diff_data - market2_diff_data (1)
Where
market(i)_diff_data = diff_data / ATR(j)_market(i)^0.5,
where i = {1, 2} and j = the natural numbers excluding 0
Formula (1) interpretation is the following
When ID > 0: this means the current market outperforms the base market
When ID = 0: Markets are at long run equilibrium
When ID < 0: this means the current market underperforms the base market
To form the strategy we define one of two strategy type’s which are Trend and Mean Revesion respectively.
🔸 Trend Case:
Given the ‘‘Strategy Type’’ is equal to TREND we define a threshold for which if the ID crosses over we go long and if the ID crosses under the negative of the threshold we go short.
The motivating idea is that the ID is an indicator of the two symbols being out of sync, and given we know volatility clustering, momentum and mean reversion of anomalies to be a stylised fact of financial data we can construct a trading premise. Let's first talk more about this premise.
For some markets (cryptocurrency markets - synthetic symbols in TV) the stylised fact of momentum is true, this means that higher momentum is followed by higher momentum, and given we know momentum to be a vector quantity (with magnitude and direction) this momentum can be both positive and negative i.e. when the ID crosses above some threshold we make an assumption it will continue in that direction for some time before executing back to its long run equilibrium of 0 which is a reasonable assumption to make if the market are correlated. For example for the BTCUSD - ETHUSD pair, if the ID > +threshold (inputs for MA and RSI based ID thresholds are found under the ‘‘INTRAMARKET DIFFERENCE INDEX’’ group’), ETHUSD outperforms BTCUSD, we assume the momentum to continue so we go long ETHUSD.
In the standard case we would exit the market when the IDI returns to its long run equilibrium of 0 (for the positive case the ID may return to 0 because ETH’s difference data may have decreased or BTC’s difference data may have increased). However in this strategy we will not define this as our exit condition, why ?
This is because we want to ‘‘let our winners run’’, to achieve this we define a trailing Donchian Channel stop loss (along with a fixed ATR based stop as our volatility proxy). If we were too use the 0 exit the strategy may print a buy signal (ID > +threshold in the simple case, market regimes may be used), return to 0 and then print another buy signal, and this process can loop may times, this high trade frequency means we fail capture the entire market move lowering our profit, furthermore on lower time frames this high trade frequencies mean we pay more transaction costs (due to price slippage, commission and big-ask spread) which means less profit.
By capturing the sum of many momentum moves we are essentially following the trend hence the trend following strategy type.
Here we also print the IDI (with default strategy settings with the MA difference type), we can see that by letting our winners run we may catch many valid momentum moves, that results in a larger final pnl that if we would otherwise exit based on the equilibrium condition(Valid trades are denoted by solid green and red arrows respectively and all other valid trades which occur within the original signal are light green and red small arrows).
another example...
Note: if you would like to plot the IDI separately copy and paste the following code in a new Pine Script indicator template.
indicator("IDI")
// INTRAMARKET INDEX
var string g_idi = "intramarket diffirence index"
ui_index_1 = input.symbol("BINANCE:BTCUSD", title = "Base market", group = g_idi)
// ui_index_2 = input.symbol("BINANCE:ETHUSD", title = "Quote Market", group = g_idi)
type = input.string("MA", title = "Differrencing Series", options = , group = g_idi)
ui_ma_lkb = input.int(24, title = "lookback of ma and volatility scaling constant", group = g_idi)
ui_rsi_lkb = input.int(14, title = "Lookback of RSI", group = g_idi)
ui_atr_lkb = input.int(300, title = "ATR lookback - Normalising value", group = g_idi)
ui_ma_threshold = input.float(5, title = "Threshold of Upward/Downward Trend (MA)", group = g_idi)
ui_rsi_threshold = input.float(20, title = "Threshold of Upward/Downward Trend (RSI)", group = g_idi)
//>>+----------------------------------------------------------------+}
// CUSTOM FUNCTIONS |
//<<+----------------------------------------------------------------+{
// construct UDT (User defined type) containing the IDI (Intramarket Difference Index) source values
// UDT will hold many variables / functions grouped under the UDT
type functions
float Close // close price
float ma // ma of symbol
float rsi // rsi of the asset
float atr // atr of the asset
// the security data
getUDTdata(symbol, malookback, rsilookback, atrlookback) =>
indexHighTF = barstate.isrealtime ? 1 : 0
= request.security(symbol, timeframe = timeframe.period,
expression = [close , // Instentiate UDT variables
ta.sma(close, malookback) ,
ta.rsi(close, rsilookback) ,
ta.atr(atrlookback) ])
data = functions.new(close_, ma_, rsi_, atr_)
data
// Intramerket Difference Index
idi(type, symbol1, malookback, rsilookback, atrlookback, mathreshold, rsithreshold) =>
threshold = float(na)
index1 = getUDTdata(symbol1, malookback, rsilookback, atrlookback)
index2 = getUDTdata(syminfo.tickerid, malookback, rsilookback, atrlookback)
// declare difference variables for both base and quote symbols, conditional on which difference type is selected
var diffindex1 = 0.0, var diffindex2 = 0.0,
// declare Intramarket Difference Index based on series type, note
// if > 0, index 2 outpreforms index 1, buy index 2 (momentum based) until equalibrium
// if < 0, index 2 underpreforms index 1, sell index 1 (momentum based) until equalibrium
// for idi to be valid both series must be stationary and normalised so both series hae he same scale
intramarket_difference = 0.0
if type == "MA"
threshold := mathreshold
diffindex1 := (index1.Close - index1.ma) / math.pow(index1.atr*malookback, 0.5)
diffindex2 := (index2.Close - index2.ma) / math.pow(index2.atr*malookback, 0.5)
intramarket_difference := diffindex2 - diffindex1
else if type == "RSI"
threshold := rsilookback
diffindex1 := index1.rsi
diffindex2 := index2.rsi
intramarket_difference := diffindex2 - diffindex1
//>>+----------------------------------------------------------------+}
// STRATEGY FUNCTIONS CALLS |
//<<+----------------------------------------------------------------+{
// plot the intramarket difference
= idi(type,
ui_index_1,
ui_ma_lkb,
ui_rsi_lkb,
ui_atr_lkb,
ui_ma_threshold,
ui_rsi_threshold)
//>>+----------------------------------------------------------------+}
plot(intramarket_difference, color = color.orange)
hline(type == "MA" ? ui_ma_threshold : ui_rsi_threshold, color = color.green)
hline(type == "MA" ? -ui_ma_threshold : -ui_rsi_threshold, color = color.red)
hline(0)
Note it is possible that after printing a buy the strategy then prints many sell signals before returning to a buy, which again has the same implication (less profit. Potentially because we exit early only for price to continue upwards hence missing the larger "trend"). The image below showcases this cenario and again, by allowing our winner to run we may capture more profit (theoretically).
This should be clear...
🔸 Mean Reversion Case:
We stated prior that mean reversion of anomalies is an standerdies fact of financial data, how can we exploit this ?
We exploit this by normalizing the ID by applying the Ehlers fisher transformation. The transformed data is then assumed to be approximately normally distributed. To form the strategy we employ the same logic as for the z score, if the FT normalized ID > 2.5 (< -2.5) we buy (short). Our exit conditions remain unchanged (fixed ATR stop and trailing Donchian Trailing stop)
🔷 Position Sizing:
If ‘‘Fixed Risk From Initial Balance’’ is toggled true this means we risk a fixed percentage of our initial balance, if false we risk a fixed percentage of our equity (current balance).
Note we also employ a volatility adjusted position sizing formula, the turtle training method which is defined as follows.
Turtle position size = (1/ r * ATR * DV) * C
Where,
r = risk factor coefficient (default is 20)
ATR(j) = risk proxy, over j times steps
DV = Dollar Volatility, where DV = (1/Asset Price) * Capital at Risk
🔷 Risk Management:
Correct money management means we can limit risk and increase reward (theoretically). Here we employ
Max loss and gain per day
Max loss per trade
Max number of consecutive losing trades until trade skip
To read more see the tooltips (info circle).
🔷 Take Profit:
By defualt the script uses a Donchain Channel as a trailing stop and take profit, In addition to this the script defines a fixed ATR stop losses (by defualt, this covers cases where the DC range may be to wide making a fixed ATR stop usefull), ATR take profits however are defined but optional.
ATR SL and TP defined for all trades
🔷 Hurst Regime (Regime Filter):
The Hurst Exponent (H) aims to segment the market into three different states, Trending (H > 0.5), Random Geometric Brownian Motion (H = 0.5) and Mean Reverting / Contrarian (H < 0.5). In my interpretation this can be used as a trend filter that eliminates market noise.
We utilize the trending and mean reverting based states, as extra conditions required for valid trades for both strategy types respectively, in the process increasing our trade entry quality.
🔷 Example model Architecture:
Here is an example of one configuration of this strategy, combining all aspects discussed in this post.
Future Updates
- Automation integration (next update) Strategy
QTY@RISK VWAP based calculationVWAP Volatility-Based Risk Management Calculator for Intraday Trading
Overview
This script is an innovative tool designed to help traders manage risk effectively by calculating position sizes and stop-loss levels using the Volume Weighted Average Price (VWAP) and its standard deviation (StdDev). Unlike traditional methods that rely on time-based calculations, this approach is time-independent within the intraday timeframe, making it particularly useful for traders seeking precision and efficiency.
Key Concepts
VWAP (Volume Weighted Average Price): VWAP is a trading benchmark that represents the average price a security has traded at throughout the day, based on both volume and price. It provides insight into the average price level over a specific period, helping traders understand the market trend.
StdDev (Standard Deviation): In the context of VWAP, the standard deviation measures the volatility around the VWAP. It provides a quantifiable range that traders can use to set stop-loss levels, ensuring they are neither too tight nor too loose.
How the Script Works
1. VWAP Calculation: The script calculates the VWAP continuously as the market trades, integrating both price and volume data.
2. Volatility Measurement: It then computes the standard deviation of the VWAP, giving a measure of market volatility.
3. Stop-Loss Calculation: Using user-defined StdDev factors, the script calculates two stop-loss levels. These levels adjust dynamically based on market conditions, ensuring they remain relevant throughout the trading session.
4. Position Sizing: By incorporating your risk tolerance, the script determines the appropriate position size. This ensures that your maximum loss per trade does not exceed your predefined risk value.
How to Use the Calculator
1. Select Two VWAP StdDev Factors: Choose two standard deviation factors for calculating stop-loss levels. For example, you might choose 0.5 and 0.75 to set conservative and aggressive stop-losses respectively.
2. Set Your Trading Account Size: Enter your total trading capital. For example, $50,000.
3. Maximum Lot Size: Define the maximum number of shares you are willing to trade in a single position. For instance, 200 shares.
4. Risk Value per Trade: Input the maximum amount of money you are willing to risk on a single trade. For instance, $50.
5. Plotting Options: If you wish to visualize the stop-loss levels, enable the plot option and choose the price base for the plot, such as the closing price or the average of the high and low prices (hl2).
Example of Use
1. Initial Setup: After the market opens, wait for at least 15 minutes to ensure the VWAP has stabilized with sufficient volume data.
2. Parameter Configuration: Input your desired parameters into the calculator. For instance:
- VWAP StdDev Factors: 0.5 and 0.75
- Trading Account Size: $50,000
- Maximum Lot Size: 200 shares
- Risk Value per Trade: $50
- Plot Option: On, using "hl2" or "close" as the price base
3. Execution: Based on the inputs, the script calculates the position size and stop-loss levels. If the calculated stop-loss falls within the selected VWAP StdDev range, it will provide you with precise stop-loss prices.
4. Trading: Use the calculated position size and stop-loss levels to execute your trades confidently, knowing that your risk is managed effectively.
Advantages for Traders
- Time Independence: By relying on VWAP and its StdDev, the calculations are not dependent on specific time intervals, making them more adaptable to real-time trading conditions.
- Focus on Strategy: Novice traders can focus more on their trading strategies rather than getting bogged down with complex calculations.
- Dynamic Adjustments: The script adjusts stop-loss levels dynamically based on evolving market conditions, providing more accurate and relevant risk management.
- Flexibility: Traders can tailor the calculator to their risk preferences and trading style by adjusting the StdDev factors and risk parameters.
By incorporating these concepts and using this risk management calculator, traders can enhance their trading efficiency, improve their risk management, and ultimately make more informed trading decisions. Indicator
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VaR Market Sentiment by TenozenHello there! I am excited to share with you my new trading concept implemented in the "VaR Market Sentiment" indicator. But before that, let me explain what VaR is. VaR, or Value at Risk, is an indicator that helps you identify the worst-case scenario of a market movement based on a percentile/confidence level. This means that it calculates the worst moves, whether it's a buy or sell, based on the timeframe you're using.
Now, let's discuss how VaR Market Sentiment works. It uses a historical VaR to calculate the worst move either if the market goes up or down based on a percentile/confidence level. The default setting is the 95th percentile, which means that the market is unlikely to hit your SL level within the day if you're using a daily timeframe, etc.
To determine the strength of a candle, it subtracts the value of both sides based on the returns of the current timeframe with the VaR value (Bullish VaR - Bullish Returns, Bearish VaR - Bearish Returns). If the result is above the mean, the current candle is potentially weak. Conversely, if the result is below the mean, the current candle is potentially strong. The deviation shows critical sentiments, where if the market is above the deviation, it means that the current candle is really weak. If it's below the deviation, it means that the current candle is really strong.
It's important to note that this indicator needs other supporting indicators such as trend-following or mean reversion indicators based on your trading style. Also, as a follow-up to my previous concept, I called out that the market has what's called "power." And for now, I conclude that VaR Market Sentiment is the "power."
I'm going to share more helpful indicators in the future! I hope this indicator will be helpful for you guys! Ciao! Indicator
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Mason’s Line IndicatorThe Macon Strategy is an idea conceived by Didier Darcet , co-founder of Gavekal Intelligence Software. Inspired by the Water Level, an instrument used by masons to check the horizontality or verticality of a wall. This method aims to measure the psychology of financial markets and determine if the market is balanced or tilting towards an unfavorable side, focusing on the behavioral risk of markets rather than economic or political factors.
The strategy examines the satisfaction and frustration of investors based on the distance between the low and high points of the market over a period of one year. Investor satisfaction is influenced by the current price of the index and the path taken to reach that price. The distance to the low point provides satisfaction, while the distance to the high point generates frustration. The balance between the two dictates investors’ desire to hold or sell their positions.
To refine the strategy, it is important to consider the opinion of a group of investors rather than just one individual. The members of a hypothetical investor club invest successively throughout the past year. The overall satisfaction of the market on a given day is a democratic expression of all participants.
If the overall satisfaction is below 50%, investors are frustrated and sell their positions. If it is above, they are satisfied and hold their positions. The position of the group of investors relative to the high and low points represents the position of the air bubble in the water level. Market performance is measured day by day based on participant satisfaction or dissatisfaction.
In conclusion, memory, emotions, and decision-making ability are closely linked, and their interaction influences investment decisions. The Macon Strategy highlights the importance of the behavioral dimension in understanding financial market dynamics. By studying investor behavior through this strategy, it is possible to better anticipate market trends and make more informed investment decisions.
Presentation of the Mason’s Line Indicator:
The main strategy of this indicator is to measure the average satisfaction of investors based on the position of an imaginary air bubble in a tube delimited by the market’s highs and lows over a given period. After calculating the satisfaction level, it is then normalized between 0 and 1, and a moving average can be used to visualize trends.
Key features:
Calculation of highs and lows over a user-defined period.
Determination of the position of the air bubble in the tube based on the closing price.
Calculation of the average satisfaction of investors over a selected period.
Normalization of the average satisfaction between 0 and 1.
Visualization of normalized or non-normalized average satisfaction levels, as well as their corresponding moving averages.
User parameters:
Period for min and max (days) : Sets the period over which highs and lows will be calculated (1 to 365 days).
Period for average satisfaction (days) : Determines the period over which the average satisfaction of investors will be calculated (1 to 365 days).
Period for SMA : Sets the period of the simple moving average used to smooth the data (1 to 1000 days).
Bubble_value : Adjustment of the air bubble value, ranging from 0 to 1, in increments of 0.025.
Normalized average satisfaction : Option to choose whether to display the normalized or non-normalized average satisfaction.
Please note that the Mason’s Line Indicator is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
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Basic Position Calculator (BPC)In trading, proper position sizing is essential to managing risk and maximizing returns. The script provided is a Basic Position Calculator that allows traders to quickly and easily calculate their position size, stop loss, take profit, and risk reward ratio for a given trade.
The script starts by defining several inputs for the user to customize the calculations. The first input is the "Account Size", which specifies the total amount of funds available for the trade. The next input is "Risk Amount %", which is the percentage of the account size that the trader is willing to risk per trade. The "Stop Loss" input specifies the maximum amount of loss that the trader is willing to accept, while the "Reward" input is the desired profit target for the trade. Finally, there is a "Position" input that allows the user to specify where on the chart the table of calculations will be displayed.
The script then calculates the position size, stop loss, take profit and risk reward ratio using the user-specified inputs. The position size is calculated by dividing the risk amount by the stop loss. The stop loss is calculated by multiplying the stop loss percentage by the close price, and the take profit is calculated by multiplying the stop loss percentage by the close price and the reward. Risk-reward ratio is the ratio of amount of profit potential to the amount of risk in a trade.
The script then creates a table and displays the calculated values on the chart at the specified location. The table includes the following information: account size, position size, account risk %, stop loss, stop loss %, take profit, take profit % and risk reward ratio. This allows the trader to quickly and easily see all the key calculations for their trade in one place.
Overall, the Basic Position Calculator script is a valuable tool for any trader looking to quickly and easily calculate their position size, stop loss, take profit, and risk reward ratio for a given trade. The ability to customize the inputs and display the calculations on the chart makes it a useful and user-friendly tool for managing risk and maximizing returns. Indicator
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SUPPORT RESISTANCE STRATEGY [5MIN TF]A SUPPORT RESISTANCE BREAKOUT STRATEGY for 5 minute Time-Frame , that has the time condition for Indian Markets
The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more.
The commission is also included in the strategy .
The basic idea is when ,
1) Price crosses above Resistance Level ,indicated by Red Line, is a Long condition.
2) Price crosses below Support Level ,indicated by Green Line , is a Short condition.
3) Candle high crosses above ema1, is a part of the Long condition .
4) Candle low crosses below ema1, is a part of the Short condition .
5) Volume Threshold is an added confirmation for long/short positions.
6) Maximum Risk per trade for the intraday trade can be changed .
7) Default qty size is set to 50 contracts , which can be changed under settings → properties → order size.
8) ATR is used for trailing after entry, as mentioned in the inputs below.
// ═════════════════════════//
// ————————> INPUTS <————————— //
// ═════════════════════════//
→ L_Bars ———————————> Length of Resistance / Support Levels.
→ R_Bars ———————————> Length of Resistance / Support Levels.
→ Volume Break ———————> Volume Breakout from range to confirm Long/Short position.
→ Price Cross Ema —————> Added condition as explained above (3) and (4).
→ ATR LONG —————————> ATR stoploss trail for Long positions.
→ ATR SHORT ————————> ATR stoploss trail for Short positions.
→ RISK ————————————> Maximum Risk per trade intraday.
The strategy was back-tested on TCS ,the input values and the results are mentioned under "BACKTEST RESULTS" below.
// ═════════════════════════ //
// ————————> PROPERTIES<——————— //
// ═════════════════════════ //
Default_qty_size ————> 50 contracts , which can be changed under
Settings
↓
Properties
↓
Order size
// ═══════════════════════════════//
// ————————> TIME CONDITION <————————— //
// ═══════════════════════════════//
The time can be changed in the script , Add it → click on ' { } ' → Pine editor→ making it a copy [right top corner} → Edit the line 27.
The Indian Markets open at 9:15am and closes at 3:30pm.
The 'time_cond' specifies the time at which Entries should happen .
"Close All" function closes all the trades at 3pm , at the open of the next candle.
To change the time to close all trades , Go to Pine Editor → Edit the line 92 .
All open trades get closed at 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm .
// ═══════════════════════════════════════════════ //
// ————————> BACKTEST RESULTS ( 100 CLOSED TRADES )<————————— //
// ═══════════════════════════════════════════════ //
INPUTS can be changed for better Back-Test results.
The strategy applied to NSE:TCS ( 5 min Time-Frame and contract size 50) gives us 60% profitability , as shown below
It was tested for a period a 6 months with a Profit Factor of 1.8 ,net Profit of 30,000 Rs profit .
Sharpe Ratio : 0.49
Sortino Ratio : 1.4
The graph has a Linear Curve with Consistent Profits.
The INPUTS are as follows,
1) L_Bars —————————> 4
2) R_Bars —————————> 4
3) Volume Break ————> 5
4) Price Cross Ema ——> 100
5) ATR LONG ——————> 2.4
6) ATR SHORT —————> 2.6
7) RISK —————————> 2000
8) Default qty size ——> 50
NSE:TCS
Save it to favorites.
Apply it to your charts Now !!
Thank You ☺ NSE:TCS Strategy
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