Documentation

🔹 QuantumFlow

Deep Explanation:

QuantumFlow is inspired by the idea that markets are not random but driven by institutionalplayers—big funds, banks, and hedge funds. These institutions leave footprints—order blocks,liquidity gaps, and zones of premium or discount—that retail traders often overlook.

Market Microstructure Theory:

Market microstructure studies how trades and order book dynamics influence price movements.QuantumFlow leverages this by identifying where the big players are likely to act, providing amap of potential support and resistance zones rooted in actual flow.

Core Components:

• Order Blocks: Zones where large orders have accumulated, often leading to reversals orbreakouts.
• Fair Value Gaps: Price zones where trading was imbalanced, indicating potential areas ofreversion.
• Liquidity Sweeps: Rapid price movements that clear liquidity, often preceding big institutionalmoves.
• Premium/Discount Zones: Areas where price is overextended relative to recentvalue—potential reversal points.

Application in Trading:

• Add QuantumFlow to your chart to visualize these zones.
• Use overlays to see where institutional footprints align with other signals like TrendScore orEdgeFlow.
• When price approaches a significant order block or liquidity zone, consider it a probabilitycluster—the market may reverse or accelerate.

Advanced Application:

Combine QuantumFlow with other tools to filter false signals. For example, only take entrieswhen QuantumFlow zones align with high EdgeFlow momentum or a strong TrendScore.

Historical Insight:

The concept of order flow has been a staple in professional trading rooms for decades. Moderntechnology allows retail traders to access similar insights, leveling the playing field.

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🔹 TrendScore

In-Depth Mechanics:

TrendScore distills the complex idea of trend strength into a single, easy-to-understand metric. Itconsiders multiple factors:

• Slope: The steepness of recent price moves.
• Momentum Efficiency: How smoothly prices are moving in one direction without excessivevolatility or reversals.
• Fractal Persistence: How consistently a trend has been maintained across multipletimeframes.

Quantitative Foundations:

• Uses linear regression to assess slope.
• Applies momentum indicators like RSI or MACD in a normalized way.
• Incorporates fractal analysis to measure how often a pattern repeats across scales.

Why It Matters:

By simplifying trend strength into a single score, traders can avoid false signals from choppymarkets. It’s a trend filter that ensures you only trade when the odds are in your favor.

Practical Use Cases:

• Enter long when TrendScore > +0.03 and aligned with your other signals.
• Short when below –0.03.
• Stay out or wait when in the neutral zone, especially during sideways or choppy markets.

Historical Note:

The idea of quantifying trend strength has roots in the development of momentum models usedby fund managers—here, it’s simplified for retail use but retains the core principles.

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🔹 Deepwave Oscillator

Technical Deep Dive:

Deepwave is inspired by the idea that volatility is not just random noise but a structuredphenomenon—markets tend to cycle through phases of calm and chaos. It models these cycles,measuring the strength and likelihood of breakouts or reversals.

Mathematical Model:

• Combines volatility clustering models (like GARCH) with cycle detection algorithms.
• Outputs a score from 0–100 indicating current volatility strength.

Market Scenarios:

• During low scores (0–30), the market is in a quiet phase—less trading, less opportunity forquick profits.
• During moderate (30–70), volatility is active—suitable for intraday trading.
• During high (70–100), markets are more likely to breakout or reverse—ideal for breakoutstrategies.

Usage Tips:

• Use Deepwave to decide when to stand aside or when to prepare for big moves.
• Combine with QuantumFlow to pinpoint where big moves may originate.
• Adjust your position sizes based on the volatility level—smaller during calm, larger duringactive phases.

Historical Context:

Volatility modeling is a cornerstone of risk management in hedge funds. Our implementationdemocratizes this insight for retail traders, enabling better timing and risk controls.

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🔹 EdgeFlow Oscillator

Technical Deep Dive:

Deepwave is inspired by the idea that volatility is not just random noise but a structuredphenomenon—markets tend to cycle through phases of calm and chaos. It models these cycles,measuring the strength and likelihood of breakouts or reversals.

Mathematical Model:

• Combines volatility clustering models (like GARCH) with cycle detection algorithms.
• Outputs a score from 0–100 indicating current volatility strength.

Market Scenarios:

• During low scores (0–30), the market is in a quiet phase—less trading, less opportunity forquick profits.
• During moderate (30–70), volatility is active—suitable for intraday trading.
• During high (70–100), markets are more likely to breakout or reverse—ideal for breakoutstrategies.

Usage Tips:

• Use Deepwave to decide when to stand aside or when to prepare for big moves.
• Combine with QuantumFlow to pinpoint where big moves may originate.
• Adjust your position sizes based on the volatility level—smaller during calm, larger duringactive phases.

Historical Context:

Volatility modeling is a cornerstone of risk management in hedge funds. Our implementationdemocratizes this insight for retail traders, enabling better timing and risk controls.

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🔹 SignalWave

Technical Deep Dive:

SignalWave employs advanced pattern recognition algorithms combined with trend analysis toidentify potential trade setups across multiple timeframes. It filters out noise and emphasizessignals with the highest probability of success.

Underlying Technology:

• Uses machine learning models trained on decades of market data.
• Recognizes complex patterns like breakouts, pullbacks, and reversals.

Practical Scenarios:

• During trending markets, SignalWave highlights pullbacks that offer high-probability entries.
• In ranging markets, it signals potential breakouts or reversals.

Usage Tips:

• Always confirm SignalWave signals with other indicators like TrendScore or QuantumFlow.
• Use it as an initial scan tool to prioritize setups.

Historical Analogy:

It mimics how institutional traders use pattern recognition software to scan for high-probabilitysetups quickly.

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🔹 Nova AI Trader

In-Depth Functionality:

Nova AI leverages machine learning and adaptive algorithms that process real-time marketdata—volatility, flow, structure—and adjust trading parameters dynamically. It mimics thedecision-making process of top quant funds, learning from ongoing market behavior.

How It Works:

• It monitors live data feeds, including order book flow, volatility, and price action.
• Adjusts risk, targets, and entries on the fly based on evolving conditions.
• Provides alerts, recommendations, or automatic execution options.

Ideal Usage:

• Use during volatile periods to adapt quickly
• Combine with manual signals for hybrid trading.
• Use for backtesting adaptive strategies over historical data.

Historical Context:

Adaptive AI systems are the cutting edge of modern finance implemented by top hedge fundsfor portfolio rebalancing and trade timing.

Still stuck? Use the contact form on our site/Discord to open a support ticket. Providescreenshots where possible for faster help.

• If you lose access, confirm your subscription is active. Payment failures will automatically pause access.
• For billing questions, reach out directly via our support form

Problem:

Heiken Ashi candles, Deepwave oscillator, or other overlays do not display correctly

Solution:

• Go to Chart Settings → Symbol tab and disable Body, Borders, and Wick if using HeikenAshi-based indicators.
• Ensure Regular candles are selected in chart settings.
• Refresh or reapply the indicator if overlays appear misaligned.

Pro Tip:

Some indicators like Deepwave or QuantumFlow rely on color-coded outputs; ensure chartbackground and theme don’t obscure signals.

Problem:

Webhook alerts fail or return HTTP errors.

Solution:

• Ensure the webhook URL starts with https:// (TradingView requires secure endpoints).
• Verify your server/bot can accept POST requests in JSON format.
• Check for firewall or security rules that may block TradingView requests.

Pro Tip:

Use tools like RequestBin or Webhook.site to test payload reception before connecting to livesystems.

Problem:

Webhook or chart alerts trigger too frequently or repeat for the same candle.

Solution:

• Set the alert frequency to “Once per bar close” instead of “Every time.”
• Enable primary + secondary filters in Paradox Algo settings to reduce noise.
• Avoid using low-timeframe charts with multiple timeframe confirmations — this can createoverlapping alerts.

Pro Tip:

Combine with TrendScore or EdgeFlow Oscillator filters to reduce false signals.

Problem:

Entry/exit signals do not appear in real-time or seem delayed.

Solution:

• Ensure your chart timeframe matches your selected primary timeframe in Paradox Algosettings.
• Confirm your TradingView connection is stable (alerts require an active internet connection).
• Verify non-repainting mode is enabled if you want only confirmed closed-candle signals.

Pro Tip:

Using multiple timeframe filters (secondary/tertiary) may delay signals slightly — this is normaland increases accuracy.

Problem:

Users cannot see the indicator in TradingView under “Invite-Only Scripts.”

Solution:

• Confirm your TradingView username was correctly submitted during signup.
• Check your subscription plan to verify the indicator is included.
• Refresh TradingView, and search exactly by script name in Invite-Only Scripts.

Pro Tip:

Log out and back into TradingView after gaining access — sometimes refresh is required.

Problem: Users may struggle to set up webhook alerts for automated signals from the ParadoxAlgo indicator on TradingView.

Solution:

1. Open TradingView and go to your chart with Paradox Algo applied.
2. Click the “Alerts” button (bell icon) in the top toolbar.
3. In the Condition dropdown, select Paradox Algo – Entry/Exit Signals.
4. Choose “Webhook URL” and paste your server/bot URL where you want alerts sent.
5. In the Message box, use the default signal placeholders or customize them to include:
   
   • {{ticker}} – Symbol
   • {{strategy.order.action}} – Buy/Sell
   • {{close}} – Price at signal
6. Set alert expiration and frequency (only once or every bar).
7. Click Create. Alerts will now trigger automatically to your webhook whenever the indicatorfires a signal.

Pro Tip:

Test your webhook with a manual alert first to ensure the URL is reachable and properlyformatted. Ensure your bot/server can process JSON payloads from TradingView.

⚠️ Each third-party service is different (e.g., brokers, Discord bots, trade copiers). They willprovide their own instructions and message templates. Follow these carefully.

If alerts aren’t firing, double-check your alert conditions and ensure the webhook URL iscorrect.

1. Scalper (5m) — Manual
   
   • TrendScore (15m) = bias
   • Deepwave on 5m = filter (only trade when 30–70)
   • EdgeFlow on 5m = entry/exit
   • SignalWave = confirmation
2. Swing (4H / Daily) — Manual
   
   • TrendScore (Daily) = bias
   • QuantumFlow = structure (order blocks)
   • EdgeFlow (4H) = entry timing
   • Deepwave = volatility sizing
3. Futures Day Trade
   
   • TrendScore 1H for bias
   • QuantumFlow for session order blocks
   • EdgeFlow for intraday entries
   • Deepwave to avoid low-volatility traps

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• Does this trade fit within my daily risk cap?
• Will my stop loss keep my per-trade risk acceptable?
• Am I using structural or tactical indicators to justify my stop?
• Have I tracked cumulative risk for the day?

If any answer is “No,” do not take the trade. Discipline is non-negotiable in prop trading.

Stops protect your capital. Proper stop placement is not arbitrary—it should be logical,structural, and consistent with your risk rules.

Important Note: Paradox tools do not automatically place stops for you. You must set stopsmanually, using indicator context and your risk management rules.

1. Use indicator context for tactical stops:
   
   • SignalWave line or EdgeFlow inflection points can guide short-term stop placement
   • QuantumFlow order block invalidation can serve as a structural stop
2. Stop distance matters:
   
   • Too tight → frequent stop-outs (micro-noise)
   • Too wide → violates your position sizing rules
   • Goal: tight enough to respect your daily risk, wide enough to avoid random noise
3. Scaling and skipping trades:
   
   • If a proper stop would require risking more than your allowed per-trade allocation, do not takethe trade or reduce the number of contracts
4. Consistency is key:
   
   • Follow the same logic for every trade
   • Never move stops farther just to avoid a loss
   • Discipline in stops = survival in prop trading

Position sizing ensures that each trade fits your daily risk rules. Here’s a concrete example withfutures contracts:

1. Suppose your stop loss is 20 ticks, and each tick is worth $5. Risk per contract = 20 × $5 = $100
2. Daily risk limit = $400. Maximum contracts allowed = $400 ÷ $100 = 4 contracts
3. If you want to open a second trade: Check combined risk: Trade 1 risk + Trade 2 risk ≤ $400. If not, reduce the number of contracts or skip the second trade

Always calculate the worst-case scenario before placing any trade.

1. Check your max drawdown limit in the prop firm contract. Example: $4,000
2. Calculate your daily risk limit by multiplying max drawdown × 10%. Example: $4,000 × 10% = $400
3. Determine per-trade risk before entering a trade. Ask: If my stop loss is hit, how much will I lose in dollars per contract or lot?
4. Track cumulative risk for the day. Formula: total_loss_today = current_day_losses + sum(all_open_trade_risks). Ensure total ≤ daily cap. If adding a new trade exceeds the cap, reduce your position size or skip the trade entirely.
5. Stop trading when the cap is reached. No exceptions, no “just one more trade.” Protects your account and builds discipline,a key traitprop firms look for.

The golden rule:

• Only risk 10% of your maximum drawdown per trading day/session.
• This ensures that one bad day does not ruin your account or violate the prop firm’s rules.

Example:

• Prop account max drawdown: $4,000
• Daily risk limit: 10% × $4,000 = $400
• This $400 is the total allowable loss for the entire day, regardless of how many trades youtake.

If your trades hit this cap, stop trading immediately—no exceptions. This is critical to preserveyour capital and your prop account.

Risk management is the most important skill in prop trading. No indicator, system, or strategycan save you from blowing an account if you ignore risk limits. The following guide breakseverything down step by step, using concrete examples, so it’s easy to follow—even if you’renew to prop trading.

Paradox Algo is built to give traders flexible tools,not rigid systems. While our automatedstrategy is available, it’s designed for automation. For manual trading, focus on the indicators tobuild your own setups.

Scalping

• Look for fast intraday moves
• Use EdgeFlow Oscillator for precise entries/exits.
• Apply SignalWave or TrendScore on higher timeframes (15m–1h) to stay aligned with trendbias.
• Avoid trading during unstable volatility spikes with Deepwave.

Swing Trading

• Focus on broader moves across 4H–Daily charts.
• Use TrendScore/SignalWave to establish long-term trend bias.
• Verify market structure with QuantumFlow(order blocks, liquidity sweeps, premium/discountzones).
• Use EdgeFlow for timing entries within your larger bias.

Key Point:

Each trader should combine these tools in a way that fits their style. There’s no single bestsetup.The indicators are designed to adapt to you, not the other way around.

• Scalping: 1m–5m
• Day Trading: 15m–1h
• Swing: 4h–1D

A.I Fibonacci [Paradox]

Description:

The A.I fibonacci is a tool designed to assist traders in identifying potential price levels followinga retracement. Unlike many other Fibonacci indicators available, this script is tailored to highlightthe most crucial levels for entries, take profits, and stop losses.

Key Features:

• Automatic Calculation: The script automatically calculates and plots Fibonacci extension levelsbased on the price movement and the highs and the lows on the chart.
• Optimal Levels: It emphasizes the most relevant levels for making informed trading decisions,ensuring traders focus on what specific levels.
• Versatility: Suitable for all markets, making it a versatile tool for traders across different assetclasses.
• User-Friendly: Designed with both novice and experienced traders in mind, the script is easy touse and interpret.

How It Stands Out:

While there are numerous Fibonacci tools available, the A.I Fibonacci is distinct in its approach.It not only calculates potential price reversal areas but also pinpoints possible price levels aftera retracement is completed. This dual functionality ensures traders have a comprehensive viewof the market.

How to Use:

Apply the script to your desired chart.

Observe the plotted Fibonacci levels.

Use these levels to determine potential entry, exit, and stop-loss points.

Green - Entry levels

Red - Stop Loss Levels

Yellow - Take Profit Levels

Applicability:

A.I Fibonacci is designed for all markets, making it a versatile tool for forex, stocks,commodities, and more.

Conditions for Use:

The script performs optimally under various market conditions. However, as with all technicaltools, it's recommended to use it in conjunction with other indicators and analysis methods forbest results.

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Support & Resistance AI LevelScope

Support & Resistance AI LevelScope is an advanced, AI-driven tool that automatically detectsand highlights key support and resistance levels on your chart. This indicator leverages smartalgorithms to pinpoint the most impactful levels, providing traders with a precise, real-time viewof critical price boundaries. Save time and enhance your trading edge with effortless, intelligentsupport and resistance identification.

Key Features:

• AI-Powered Level Detection: The LevelScope algorithm continuously analyzes price action,dynamically plotting support and resistance levels based on recent highs and lows across yourchosen timeframe.
• Sensitivity Control: Customize the sensitivity to display either major levels for a macro view ormore frequent levels for detailed intraday analysis. Easily adjust to suit any trading style ormarket condition.
• Level Strength Differentiation: Instantly recognize the strength of each level with visual cuesbased on how often price has touched each one. Stronger levels are emphasized, highlightingareas with higher significance, while weaker levels are marked subtly.
• Customizable Visuals: Tailor the look of your chart with customizable color schemes and linethickness options for strong and weak levels, ensuring clear visibility without clutter.
• Proximity Alerts: Receive alerts when price approaches key support or resistance, giving you aheads-up for potential market reactions and trading opportunities.

Who It’s For:

Whether you're a day trader, swing trader, or just want a quick, AI-driven way to identifyhigh-probability levels on your chart, Support & Resistance AI LevelScope is designed to keepyou focused and informed. This indicator is the perfect addition to any trader’s toolkit,empowering you to make more confident, data-backed trading decisions with ease.

Upgrade your analysis with AI-powered support and resistance—no more manual lines, onlysmart levels!

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Flow Optimized Moving Average

Overview:

The Flow Optimized Moving Average (Flow OMA) [ParadoxAlgo] is an advanced adaptivemoving average designed to dynamically adjust smoothing factors based on market efficiencyand volatility. By integrating the Efficiency Ratio (ER) with an Adaptive Moving Average (AMA)and leveraging ATR-based bands, this indicator provides traders with a refined tool foridentifying trend direction, strength, and potential reversal zones.

Key Features:

• Adaptive Moving Average (AMA) - Adjusts to price action based on the Efficiency Ratio (ER), reducing lag in trending marketswhile smoothing noise in ranging conditions.
• Efficiency Ratio (ER) - Measures the effectiveness of price movement over a defined lookback period.Helps in dynamically adjusting the smoothing constant of the AMA.
• ATR-Based Volatility Bands - Creates upper and lower dynamic bands based on the Average True Range (ATR).Expands in high volatility and contracts in low volatility, providing traders with a contextualunderstanding of price action.
• Slope-Based Trend Strength - Normalizes the moving average slope relative to ATR.Generates a trend strength score, which influences band opacity, making strong trends visuallydistinguishable.

Dynamic Color Coding

Bullish Trends: Cyan/Turquoise (#00e2ff)

Bearish Trends: Blue (#003ff5)

Neutral Trends: Gray

The transparency of the bands dynamically adjusts based on trend strength.

Fill Zone Effect

The area between the ATR bands is filled with a gradient-like effect, giving a clear visualrepresentation of trend strength and transitions.

Indicator Components:

Inputs (User Settings)

ER Lookback Period: Defines how many bars are used in the Efficiency Ratio calculation(default: 10).

Fast & Slow Periods: Control the sensitivity of the Adaptive Moving Average (default: 2 & 30).

ATR Period: Defines the lookback for Average True Range (default: 14).

Band Multiplier: Determines the width of ATR-based bands (default: 1.5).

Slope Average Period: Smooths trend slope for more stable trend assessment (default: 5).

Efficiency Ratio Calculation

Measures how effectively price moves in a straight line compared to its total movement.

A higher ER value suggests strong trend momentum, while a lower value implies consolidation.

Adaptive Moving Average (AMA)

Dynamically adjusts its smoothing factor based on ER.

Uses a smoothing constant that ranges between the fastest and slowest specified values.

Volatility-Based Bands

Constructed using the ATR multiplier.

Expand and contract dynamically in response to market volatility.

Trend Strength & Direction

Computed using the normalized slope of AMA against ATR

Positive slope = Bullish trend, Negative slope = Bearish trend.

Visual Enhancements

Colored Adaptive MA Line: Changes based on trend direction.

ATR Bands with Gradient Fill: Visual representation of market conditions.

Dynamic Opacity: Highlights trend strength through transparency.

How to Use the Flow OMA Indicator

Trend Identification:

When the Adaptive MA is rising and colored cyan, a bullish trend is in play.

When the Adaptive MA is falling and colored blue, a bearish trend is present.

Trend Strength Assessment

A stronger trend results in more opaque band fills, indicating a clear directional bias.

Weaker trends or consolidations result in fainter fills, signaling a loss of momentum.

Reversal Signals

If price touches the upper band in a bullish move and starts reversing, it can indicate potentialprofit-taking areas.

If price approaches the lower band in a bearish move and rebounds, a short-term reversal maybe imminent.

Volatility Insights

Narrow bands indicate low volatility and possible breakout conditions.

Wider bands suggest increased volatility, warning traders of potential price swings.

Best Practices:

✅ Combine with Other Indicators

Use RSI, MACD, or Volume Profile for confirmation before executing trades.

✅ Apply to Multiple Timeframes

Works effectively in higher timeframes (1H, 4H, Daily) for trend trading.

Can be utilized in lower timeframes (5m, 15m) for scalping setups.

✅ Adjust Parameters Based on Asset Volatility

Increase ATR Period for stocks with high volatility.

Reduce ATR Multiplier for forex pairs to avoid excessive band width.

The Flow Optimized Moving Average (Flow OMA) [ParadoxAlgo] is a powerful trend-followingtool designed for both swing and intraday traders. Its adaptive nature allows it to efficiently tracktrends while minimizing false signals. By incorporating dynamic volatility bands andtrend-sensitive color coding, this indicator enhances traders' ability to read price actioneffectively. Whether used standalone or in combination with other indicators, Flow OMAprovides a significant edge in trend analysis

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Adaptable Relative Momentum Index [ParadoxAlgo]

The Adaptable Relative Momentum Index (RMI) by ParadoxAlgo is an advancedmomentum-based indicator that builds upon the well-known RSI (Relative Strength Index)concept by introducing a customizable momentum length. This indicator measures pricemomentum over a specified number of periods and applies a Rolling Moving Average (RMA) toboth the positive and negative price changes. The result is a versatile tool that can help tradersgauge the strength of a trend, pinpoint overbought/oversold levels, and potentially identifybreakout opportunities.

Smart Configuration Feature:

What sets this version of the RMI apart is ParadoxAlgo’s exclusive “Smart Configuration”functionality. Instead of manually adjusting parameters, traders can simply select their AssetClass (e.g., Stocks, Forex, Futures/Indices, Crypto, Commodities) and Trading Style (e.g.,Scalping, Day Trading, Swing Trading, Short-Term Investing, Long-Term Investing). Based onthese selections, the indicator automatically optimizes its core parameters:

• Length – The period over which the price changes are smoothed.
• Momentum Length – The number of bars used to calculate the price change.

By automating this process, users save time on tedious trial-and-error adjustments, ensuringthat the RMI’s settings are tailored to the characteristics of specific markets and personal tradinghorizons.

Key Features & Benefits:

1. Momentum-Based Insights
   
   • Uses RMA to smooth price movements, helping identify shifts in market momentum moreclearly than a basic RSI.
   • Enhanced adaptability for a wide range of asset classes and time horizons.
2. Simple Yet Powerful Configuration
   
   • Smart Configuration automatically sets optimal parameter values for each combination ofasset class and trading style.
   • Eliminates guesswork and manual recalibration when switching between markets ortimeframes.
3. Overbought & Oversold Visualization
   
   • Integrated highlight zones mark potential overbought and oversold extremes (default at 80 and 20).
   • Optional breakout highlighting draws attention to times when the indicator crosses these keythresholds, helping spot possible entry or exit signals.
4. Intuitive Design & Ease of Use
   
   • Clean plotting and color-coded signal lines make it easy to interpret bullish or bearish shifts inmomentum.
   • Straightforward dropdown menus keep the interface user-friendly, even for novice traders.

Practical Applications:

• Early Trend Detection: Spot emerging trends when the RMI transitions from oversold to higherlevels or vice versa.
• Breakout Confirmation: Confirm potential breakout trades by tracking overbought/oversoldbreakouts alongside other technical signals.
• Support/Resistance Confluence: Combine RMI signals with horizontal support/resistancelevels to reinforce trade decisions.
• Trade Timing: Quickly gauge when momentum could be shifting, helping you time entries andexits more effectively.

Disclaimer:

As with any technical indicator, the Adaptable Relative Momentum Index should be used as partof a broader trading strategy that includes risk management, fundamental analysis, and otherforms of technical confirmation. Past performance does not guarantee future results.

Enjoy using the Adaptable RMI [ParadoxAlgo] and experience a more streamlined, flexibleapproach to momentum analysis. Feel free to explore different asset classes and trading stylesto discover which configurations resonate best with your unique trading preferences.

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Chaikin Money Flow (CMF) [ParadoxAlgo]

OVERVIEW

This indicator implements the Chaikin Money Flow oscillator as an overlay on the price chart,designed to help traders identify institutional money flow patterns. The Chaikin Money Flowcombines price and volume data to measure the flow of money into and out of a security,making it particularly useful for detecting accumulation and distribution phases.

WHAT IS CHAIKIN MONEY FLOW?

Chaikin Money Flow was developed by Marc Chaikin and measures the amount of Money FlowVolume over a specific period. The indicator oscillates between +1 and -1, where:

Positive values indicate money flowing into the security (accumulation)

Negative values indicate money flowing out of the security (distribution)

Values near zero suggest equilibrium between buying and selling pressure

CALCULATION METHOD

Big Money Detection:

• Identifies significant institutional activity when CMF exceeds user-defined thresholds.
• Requires volume confirmation (volume above average) to validate signals.
• Uses battery icon (🔋) for institutional buying and lightning icon (⚡) for institutional selling.

Visual Elements:

• Background coloring based on money flow direction.
• Support and resistance levels calculated using Average True Range.
• Real-time dashboard showing current CMF value, volume strength, and signal status.

Customizable Parameters:

• CMF Period: Calculation period for the money flow (default: 20)
• Signal Smoothing: EMA smoothing applied to reduce noise (default: 5)
• Big Money Threshold: CMF level required to trigger institutional signals (default: 0.15)
• Volume Threshold: Volume multiplier required for signal confirmation (default: 1.5x)

INTERPRETATION

Signal Types:

🔋 (Battery): Indicates strong institutional buying when CMF > threshold with high volume

⚡ (Lightning): Indicates strong institutional selling when CMF < -threshold with high volume

Background color: Green tint for positive money flow, red tint for negative money flow

Dashboard Information:

• CMF Value: Current Chaikin Money Flow reading
• Volume: Current volume as a multiple of 20-period average
• Big Money: Status of institutional activity (BUYING/SELLING/QUIET)
• Signal: Strength assessment (STRONG/MEDIUM/WEAK)

TRADING APPLICATIONS

• Trend Confirmation: Use CMF direction to confirm price trends
• Divergence Analysis: Look for divergences between price and money flow
• Volume Validation: Confirm breakouts with corresponding money flow
• Accumulation/Distribution: Identify phases of institutional activity

PARAMETER RECOMMENDATIONS

Day Trading: CMF Period 14-21, higher sensitivity settings

Swing Trading: CMF Period 20-30, moderate sensitivity

Position Trading: CMF Period 30-50, lower sensitivity for major trends

ALERTS

Optional alert system notifies users when:

Big money buying is detected (CMF above threshold with volume confirmation)

Big money selling is detected (CMF below negative threshold with volume confirmation)

LIMITATIONS

May generate false signals in low-volume conditions

Best used in conjunction with other technical analysis tools

Effectiveness varies across different market conditions and timeframes

EDUCATIONAL PURPOSE

This open-source indicator is provided for educational purposes to help traders understandmoney flow analysis. It demonstrates the practical application of the Chaikin Money Flowconcept with visual enhancements for easier interpretation.

TECHNICAL SPECIFICATIONS

• Overlay indicator (displays on price chart)
• No repainting - all calculations are based on closed bar data.
• Suitable for all timeframes and asset classes.
• Minimal resource usage for optimal performance

DISCLAIMER

This indicator is for educational and informational purposes only. Past performance does notguarantee future results. Always conduct your own analysis and consider risk managementbefore making trading decisions.

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QFisher-R™ [ParadoxAlgo]

QFISHER-R™ (Regime-Aware Fisher Transform)

A research/education tool that helps visualize potential momentum exhaustion and probableinflection zones using a quantitative, non-repainting Fisher framework with regime filters andmulti-timeframe (MTF) confirmation.

What it does:

• Converts normalized price movement into a stabilized Fisher domain to highlight potentialturning points.
• Uses adaptive smoothing, robust (MAD/quantile) thresholds, and optional MTF alignment tocontextualize extremes.
• Provides a Reversal Probability Score (0–100) to summarize signal confluence (extreme,slope, cross, divergence, regime, and MTF checks).

Key features:

• Non-repainting logic (bar-close confirmation; security() with no lookahead).
• Dynamic exhaustion bands (data-driven thresholds vs fixed ±2).
• Adaptive smoothing (efficiency-ratio based).
• Optional divergence tags on structurally valid pivots.
• MTF confirmation (same logic computed on a higher timeframe).
• Compact visuals with subtle plotting to reduce chart clutter.

Inputs (high level):

• Source (e.g., HLC3 / Close / HA).
• Core lookback, fast/slow range blend, and ER length.
• Band sensitivity (robust thresholding).
• MTF timeframe(s) and agreement requirement.
• Toggle divergence & intrabar previews (default off).

Signals & Alerts:

• Turn Candidate (Up/Down) when multiple conditions align.
• Trade-Grade Turn when score ≥ threshold and MTF agrees.
• Divergence Confirmed when structural criteria are met.
• Alerts are generated on the confirmed bar close by default. Optional “preview” mode isavailable for experimentation.
• Toggle divergence & intrabar previews (default off).

How to use:

• Start on your preferred timeframe; optionally enable an HTF (e.g., 4×) for confirmation.
• Look for RPS clusters near the exhaustion bands, slope inflections, and (optionally)divergences.
• Combine with your own risk management, liquidity, and trend context.
• Paper test first and calibrate thresholds to your instrument and timeframe.

Notes & limitations:

• This is not a buy/sell signal generator and does not predict future returns.
• Readings can remain extreme during strong trends; use HTF context and your own filters.
• Parameters are intentionally conservative by default; adjust carefully.

Compliance / Disclaimer:

• Educational & research tool only. Not financial advice. No recommendation to buy/sell anysecurity or derivative.
• Past performance, backtests, or examples (if any) are not indicative of future results.
• Trading involves risk; you are responsible for your own decisions and risk management.
• Built upon the Fisher Transform concept (Ehlers); all modifications, smoothing, regime logic,scoring, and visualization are original work by Paradox Algo.

🔹 Paradox Algo Automated Strategy (Main)

Deep Dive:

This is the backbone of our system. It encapsulates a set of rules derived from statistical analysis of market data. Think of it as a financial engine that interprets market signals based onmultiple layers of information—trend, volatility, momentum, and market structure.

Historical Foundations:

The development of automated trading engines draws from concepts like the Black-Scholes model for option pricing, mean reversion theories, and trend-following algorithms. These modelshave been refined over decades, leveraging massive datasets and computational power toidentify subtle patterns.

Mathematical Principles:

• Statistical Significance: Signals are validated through hypothesis testing—ensuring they are not random artifacts.
• Trend Timeframe Analysis: Used to determine the strength and direction of trends.
• Volatility Modeling: Employs our DeepWave model or similar to adapt to changing market regimes.
• Pattern Recognition: Machine learning techniques are incorporated to detect complex patterns, such as regime shifts or liquidity accumulation.

Operational Mechanics:

• The system evaluates price action in real-time, comparing it against historical models.
• It assesses whether market conditions are favorable for a move—considering volatility, trend strength, and liquidity.
• When conditions align, it issues a high-confidence signal—either to enter, exit, or stay out.

Practical Application:

• Use the engine for automated trading, but always monitor and review signals.
• Run backtests across different assets and timeframes to understand its behavior.
• Adjust parameters cautiously—markets evolve, and models need recalibration.

Limitations & Considerations:

• No model can predict 100% of market moves; always manage risk.
• Use in conjunction with manual analysis for confirmation.
• Be aware of market gaps, news events, or black-swan scenarios that models might not capture.

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Strategy Properties Setup

Before configuring any input settings, you must first adjust your Strategy Properties to match your trading conditions.

Required Properties:

• Initial Capital: Set this to match your actual account size or prop firm starting capital
• Order Size: Set the number of contracts/shares/units you'll trade per position
• Commission: Enter your broker's commission per contract/trade

Example for MNQ on Tradovate:

• Initial Capital: $150,000
• Order Size: 10 contracts
• Commission: $0.74 per side

Important: Accurate commission settings are critical for realistic backtest results. Using incorrect values will give you false performance metrics.

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Data Mode

Category: Data Mode
Type: Dropdown Menu
Options: Real-Time Data | Historical Data

Real-Time Data

Uses live, unconfirmed bar data for maximum responsiveness. The algo adapts to market conditions as they develop in real-time.

Advantages:

• Highly responsive to market changes
• Faster signal detection
• Optimal for scalping and day trading strategies
• Best overall performance

Trade-offs:

• May experience occasional repainting due to live market adaptation
• Signals can shift as bars develop

Best For: Traders who prioritize speed and responsiveness over absolute signal stability. Recommended for active scalping and day trading.

Historical Data

Uses only confirmed, closed bar data. Every signal is based on completed candles only.

Advantages:

• Zero repainting
• Signals are final once generated
• More conservative approach

Trade-offs:

• Slower signal response
• May miss fast-moving opportunities
• Backtest results may differ significantly from Real-Time mode

Best For: Traders who require zero repainting, automated bot trading, or conservative signal confirmation.

Note: The same strategy configuration can produce different backtest results depending on which Data Mode you select. Always test both modes with your specific asset and timeframe.

Paradox Settings

Asset Class

Type: Dropdown Menu
Options: Crypto | Forex | Stocks | Futures

This setting configures the entire algo to optimize for your chosen asset class. Different models and logic conditions are enabled/disabled based on your selection.

How It Works:Each asset class has unique characteristics (volatility patterns, liquidity profiles, market structure). Selecting the correct asset class ensures the algo uses the most appropriate models for that market.

Selection Guide:

• Crypto: Bitcoin, Ethereum, altcoins (24/7 markets, high volatility)
• Forex: Currency pairs (FX majors, minors, exotics)
• Stocks: Individual equities, ETFs
• Futures: Index futures (ES, NQ, MNQ), commodities, bonds

Critical: Always match this setting to what you're actually trading. Incorrect selection will result in suboptimal performance.

Trading Style

Type: Dropdown Menu
Options: Scalping | Day Trading | Swing Trading

This setting fine-tunes the algo's behavior, timeframes, and sensitivity based on your trading approach.

How It Works:Each trading style requires different position holding times, risk parameters, and model sensitivities. The algo automatically adjusts internal parameters to match your selected style.

Selection Guide:

Scalping:

• Hold time: Seconds to minutes
• Target: Small, quick profits (0.1% - 0.5%)
• Best for: High-frequency traders, prop firm accounts, micro timeframes (1m-15m)

Day Trading:

• Hold time: Minutes to hours (close by EOD)
• Target: Intraday price movements (0.5% - 2%)
• Best for: Active traders, 15m-1H timeframes

Swing Trading:

• Hold time: Days to weeks
• Target: Multi-day trend movements (2% - 10%+)
• Best for: Position traders, 4H-Daily timeframes

Tip: Your Trading Style selection should align with your Take Profit distances and Stop Loss settings.

Prop Firm Settings

Enable Prop Firm Settings

Type: Boolean (On/Off)
Default: Off

When enabled, activates daily profit/loss limits to comply with prop firm trading rules.

How It Works:The algo monitors net P&L from the start of each trading day. When either the Daily Profit Limit or Daily Loss Limit is reached, the algo blocks all new entries for the remainder of that day. Existing positions can still be exited.

When to Use:

• Trading with a funded prop firm account
• Self-imposed daily risk management
• Preventing overtrading after reaching goals

Daily Profit Limit

Type: Float Input
Format: Dollar amount
Example: 4000 = Stop opening new trades after +$4,000 profit

Sets the maximum profit target per day. Once reached, no new entries are allowed until the next trading day.

Configuration Tips:

• Set this to 70-80% of your prop firm's actual daily limit (buffer for slippage)
• Consider your typical win rate and average trade size
• Don't set it too low or you'll cap earning potential

Daily Loss Limit

Type: Float Input
Format: Dollar amount (enter as positive number)
Example: 2500 = Stop opening new trades after -$2,500 loss

Sets the maximum loss allowed per day. Once reached, no new entries are allowed until the next trading day.

Configuration Tips:

• Set this to 70-80% of your prop firm's actual daily limit (buffer for drawdown)
• Should be proportional to your account size (typically 1-5%)
• Protects you from catastrophic daily losses

Important: These limits reset at the start of each new trading day based on your configured Time Zone.

Trend Timeframes

The algo requires directional confirmation before entering trades. Trend Timeframes determine which timeframes are analyzed to identify market direction.

You can configure up to 4 separate trend timeframes. Each timeframe can have different logic models enabled.

Trend Timeframe Selection

Type: Dropdown Menu (per timeframe)
Options: Chart | 1m | 5m | 15m | 30m | 1H | 4H | Daily | etc.
Default: Chart (uses your main chart timeframe)

How to Configure:

Primary Trend Timeframe:

• Your highest timeframe for trend identification
• Most important directional filter
• Recommended: 2-4x your main trading chart timeframe

Secondary Trend Timeframe:

• Confirms primary trend direction
• Recommended: 1-2x your main trading chart timeframe

Third & Fourth Timeframes:

• Optional additional confirmation layers
• Most traders leave these as "Chart" (disabled)

Example Configuration for 5m Chart Scalping:

• Primary: 40m
• Secondary: 15m
• Third: Chart (disabled)
• Fourth: Chart (disabled)

Enable TrendScore Logic

Type: Boolean (On/Off per timeframe)

Enables TrendScore model for the selected timeframe. TrendScore measures the STRENGTH and QUALITY of a trend using quantitative analysis.

When to Enable:

• On your highest/primary timeframe for maximum filtering
• When you want to measure trend conviction
• To avoid weak, choppy trends

When to Disable:

• On lower timeframes to avoid over-filtering
• When you want more trade signals

Enable SignalWave Logic

Type: Boolean (On/Off per timeframe)

Enables SignalWave model for the selected timeframe. SignalWave identifies the trend DIRECTION (bullish/bearish).

When to Enable:

• On ALL active trend timeframes for directional confirmation
• Essential for multi-timeframe alignment

When to Disable:

• Never disable on active trend timeframes (you need directional confirmation)

Best Practice Configuration:

Primary Trend Timeframe:

• Enable BOTH TrendScore + SignalWave
• This is your strongest filter

Secondary Trend Timeframe:

• Enable SignalWave ONLY
• Confirms direction without over-filtering

Lower Timeframes:

• Leave as "Chart" (disabled) to start
• Add more confirmation only if needed

Pro Tip: You can visually monitor what the algo is reading by opening a multi-timeframe layout with your configured trend timeframes and adding the TrendScore and SignalWave indicators to those charts.

TrendScore Settings

TrendScore Long Threshold

Type: Float Input
Range: 0.01 - 0.10
Recommended: 0.03 - 0.05
Default: 0.04

Minimum TrendScore value required to validate LONG entries.

TrendScore Short Threshold

Type: Float Input
Range: -0.01 to -0.10
Recommended: -0.03 to -0.05
Default: -0.04

Maximum TrendScore value required to validate SHORT entries (negative number).

How It Works:TrendScore outputs a value representing trend strength. These thresholds determine how strong a trend must be before the algo will enter trades.

Configuration Guide:

Lower Thresholds (0.03 / -0.03):

• More sensitive to trend strength
• More trade signals
• May include weaker trends
• Higher trade frequency, potentially lower quality

Middle Thresholds (0.04 / -0.04): ⭐ RECOMMENDED

• Balanced approach
• Filters out weak trends
• Quality over quantity

Higher Thresholds (0.05 / -0.05):

• Very strict trend filtering
• Fewer signals
• Only strongest trends
• May miss opportunities or enter late (at tops/bottoms)

Warning: Going outside the 0.03-0.05 range typically degrades performance. Lower = trash trades. Higher = missed opportunities.

EFO Settings

EFO Entry Timeframe

Type: Dropdown Menu
Default: Chart

Selects which timeframe to use for EFO (Enhanced Flow Optimization) entry condition analysis.

EFO Long Threshold / EFO Short Threshold

Type: Float Input

Determines sensitivity for EFO entry condition validation.

Usage:These settings only matter if you enable "Enable EFO Entry" in the Entry & Exit Settings section. EFO is an advanced entry condition for experienced users who want to experiment with optimization.

Recommendation: Leave these at default unless you specifically want to test EFO entry conditions. Most users won't need to adjust these.

Deepwave Settings

Deepwave is Paradox Algo's proprietary volatility measurement model. It determines when volatility is safe for entries and dangerous for exits.

Deepwave Entry Timeframe

Type: Dropdown Menu
Default: Chart

Selects which timeframe to measure volatility for entry validation.

Deepwave Exit Timeframe

Type: Dropdown Menu
Default: Chart

Selects which timeframe to measure volatility for high-volatility exit triggers.

Configuration Tip: Most traders use "Chart" (main timeframe) for both. Advanced users may use higher timeframes for smoother volatility readings.

Deepwave Entry Mode

Type: Dropdown Menu
Options: Low Volatility | Rising Volatility

Low Volatility Mode:Validates entries ONLY when volatility is below the "Deepwave Low Entry Threshold" value. Prevents entries during chaotic market conditions.

Best For:

• Scalping and day trading
• Futures markets (ES, NQ, MNQ)
• High-frequency strategies
• Avoiding whipsaw entries

Rising Volatility Mode:Validates entries when volatility is RISING from a low level (breakout hunting). Uses the "Deepwave Entry Rising From" threshold.

Best For:

• Breakout strategies
• Swing trading
• Crypto markets
• Volatility expansion plays

Recommendation: Use Low Volatility mode for scalping/day trading. Use Rising Volatility for swing/breakout strategies.

Deepwave Entry Rising From

Type: Float Input
Used with: Rising Volatility Mode

Sets the minimum volatility level that must be present before the algo looks for rising volatility breakouts.

How It Works:Higher values = stricter requirements = fewer breakout signals.

When to Adjust:Only relevant if using Rising Volatility mode. Most futures/scalp traders can ignore this setting.

Deepwave Low Entry Threshold

Type: Float Input
Used with: Low Volatility Mode
Recommended Range: 0.8 - 1.5

Maximum volatility reading allowed for entry validation in Low Volatility mode.

How It Works:The algo measures real-time volatility. If the reading is BELOW this threshold, entries are allowed. If ABOVE, entries are blocked.

Configuration Guide:

Lower Values (0.8 - 1.0):

• Very strict volatility filter
• Only enters in extremely calm conditions
• Fewer trades
• Safest entries

Middle Values (1.0 - 1.3): ⭐ RECOMMENDED

• Balanced approach
• Filters out high volatility without being too restrictive

Higher Values (1.4+):

• More lenient
• Allows entries in choppier conditions
• More trades, higher risk

Asset-Specific Recommendations:

• MNQ/NQ: 1.2
• ES/MES: 1.0
• Crypto: 1.5
• Forex: 1.0-1.2

Key Concept: You want to enter when volatility is LOW (controlled). This threshold defines what "low" means.

Deepwave High Exit Threshold

Type: Float Input
Used with: High Volatility Exit (enabled in Entry & Exit Settings)
Recommended Range: 1.5 - 2.5

Volatility level that triggers an immediate full position exit when "High Volatility Exit" is enabled.

How It Works:If volatility SPIKES above this threshold while you're in a position, the algo exits immediately—regardless of profit/loss status or TP/SL levels.

Why Higher Than Entry?You can tolerate more volatility when you're IN a trade (you have stop-loss protection) than when you're ENTERING a trade (full risk exposure).

Configuration Guide:

Lower Values (1.5 - 1.8):

• Hair trigger exit
• Exits at first sign of volatility spike
• Protects capital aggressively
• May exit too early

Middle Values (1.8 - 2.2): ⭐ RECOMMENDED

• Balanced protection
• Exits on legitimate volatility explosions
• Gives trades room to breathe

Higher Values (2.3+):

• Tolerates significant volatility
• Stays in during larger price swings
• Higher risk, but may capture larger moves

Asset-Specific Recommendations:

• MNQ/NQ: 2.0
• ES/MES: 1.8
• Crypto: 2.5
• Forex: 1.8-2.0

Trend Line Settings

Trend Line Length

Type: Float Input
Default: 50

Defines the period length for moving average calculations when using "Enable MA Entry" condition.

Usage:Only relevant if you enable "Enable MA Entry" in Entry & Exit Settings. This setting is for traders who want to use moving average trend confirmation as an entry filter.

Note: Most configurations don't use MA Entry conditions. This can be ignored unless you specifically want to experiment with MA-based filters.

Take Profit Settings

Take Profit Format

Type: Dropdown Menu
Options: % | Ticks | Points | Pips
CRITICAL SETTING

Determines how all Take Profit levels are measured.

Format Guide:

% (Percentage):

• Best for: Crypto, stocks
• Example: 2.5% = 2.5% price movement from entry

Ticks:

• Best for: Futures contracts (ES, NQ, MNQ, etc.)
• Example: 100 ticks on MNQ = 100 ticks ($5 per tick on MNQ)

Points:

• Best for: Stocks, some futures
• Example: 10 points = $10 price movement

Pips:

• Best for: Forex trading
• Example: 50 pips

CRITICAL: This format MUST match your "Stop Loss Format" and "Breakeven Offset Format." Mismatched formats will cause errors.

Enable TP1 / Enable TP2 / Enable TP3

Type: Boolean (On/Off for each level)

Activates each Take Profit level. You can use 1, 2, or all 3 levels.

Single TP Strategy:

• Enable TP3 only
• Set QTY % TP3 to 100%
• Simple all-or-nothing exit

Dual TP Strategy:

• Enable TP1 + TP3
• Scale out at two levels

Triple TP Strategy: ⭐ RECOMMENDED

• Enable all three
• Maximum profit scaling
• Locks gains incrementally

TP1 / TP2 / TP3 Value

Type: Float Input
Format: Based on "Take Profit Format" setting

Sets the distance from entry for each Take Profit level.

Configuration Strategy:

Scalping (MNQ Example):

• TP1: 89 ticks (quick scalp)
• TP2: 144 ticks (continuation)
• TP3: 233 ticks (runner)

Day Trading (ES Example):

• TP1: 10 points
• TP2: 18 points
• TP3: 30 points

Swing Trading (BTC Example):

• TP1: 1.5%
• TP2: 3%
• TP3: 5%

Best Practice:

• TP1: Conservative target (high probability)
• TP2: Moderate target (trend continuation)
• TP3: Aggressive target (maximum move)

QTY % TP1 / QTY % TP2 / QTY % TP3

Type: Float Input (Percentage)
Total Must Equal: 100%

Determines what percentage of your position closes at each TP level.

Common Distributions:

30 / 40 / 30: ⭐ RECOMMENDED

• Balanced scaling
• Works with 10-contract positions perfectly

50 / 50 / 0:

• Two-level exit
• Simple and effective

25 / 25 / 50:

• Let winners run
• Keeps most of position for TP3

100 / 0 / 0:

• All-or-nothing at first target
• Simple but less optimal

Contract Size Compatibility

IMPORTANT: Your contract size must divide evenly with your TP percentages, or you'll get rounding issues.

Example Issue:

• Trading 8 contracts with 30% / 40% / 30%
• 30% of 8 = 2.4 contracts (rounds to 2)
• Results in imperfect scaling

Solution: Use contract sizes that divide evenly (3, 5, 10) with your chosen percentages, or adjust your percentages to match your contract size.

Stop Loss Settings

Stop Loss Format

Type: Dropdown Menu
Options: % | Ticks | Points | Pips

Determines how the Stop Loss distance is measured.

CRITICAL: This MUST match your "Take Profit Format." Mismatched formats will cause errors.

Stop Loss Value

Type: Float Input
Format: Based on "Stop Loss Format" setting

Sets the distance from entry price to your stop-loss level.

Configuration Best Practices:

Conservative Approach:

• Stop Loss = TP1 distance
• Tight risk control
• May get stopped out of winners

Balanced Approach: ⭐ RECOMMENDED

• Stop Loss = TP2 distance
• Gives trades room to develop
• Still protects capital

Risk-Tolerant Approach:

• Stop Loss = TP3 distance
• Maximum trade room
• 1:1 risk-reward on full position
• Use with dynamic stop movement features

Example (MNQ Scalping):

• TP3 = 233 ticks
• Stop Loss = 233 ticks
• 1:1 R:R, but you're scaling out at TP1/TP2

Golden Rule:Never set your Stop Loss wider than your TP3 level. You'll create negative risk-reward scenarios.

Move SL to Entry After TP1 Hits

Type: Boolean (On/Off)

When enabled, automatically moves your stop-loss to your entry price (breakeven) as soon as TP1 is reached.

How It Works:

1. You enter a trade
2. Price moves in your favor
3. TP1 is hit → Partial profit taken
4. Stop-loss instantly moves to breakeven
5. Trade is now risk-free

Advantages:

• Eliminates risk immediately after first profit
• Protects against reversals
• Psychological relief (can't lose money)
• Great for scalping

Considerations:

• May get stopped out at breakeven on trades that would have recovered
• Requires TP1 to be realistic/achievable

Recommendation: ENABLE for scalping and day trading. This is a powerful risk management tool.

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Move SL to TP1 After TP2 Hits

Type: Boolean (On/Off)

When enabled, automatically moves your stop-loss to your TP1 level as soon as TP2 is reached.

How It Works:

1. TP1 hits → Partial profit + Stop moved to breakeven
2. TP2 hits → More profit + Stop moved to TP1
3. Worst case = you still profit at TP1 level
4. Trade is now a guaranteed winner

Advantages:

• Locks in guaranteed profit
• Eliminates chance of losing trade after TP2
• Maximum psychological security
• Free-rolls the rest of the position

Power Combo:When BOTH "Move SL to Entry" and "Move SL to TP1" are enabled:

• TP1 → Risk-free trade
• TP2 → Guaranteed profit
• You literally cannot lose after TP2 hits

Recommendation: ENABLE for most strategies. This transforms your risk profile dramatically.

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Breakeven Offset Format

Type: Dropdown Menu
Options: % | Ticks | Points | Pips

Determines how the breakeven offset is measured.

Must match: Take Profit Format and Stop Loss Format

Breakeven Offset Value

Type: Float Input
Format: Based on "Breakeven Offset Format"

Adds a buffer above your entry price when moving stop-loss to breakeven.

Purpose:Covers commission fees so you're not just breaking even—you're actually profiting enough to cover costs.

How to Calculate:

For Futures:

1. Find your round-trip commission (entry + exit)
2. Convert to ticks
3. Add small buffer

Example (MNQ on Tradovate):

• Commission: $0.74 per side = $1.48 round trip
• MNQ tick value: $0.50
• Minimum offset: 3 ticks ($1.50)
• Recommended: 10 ticks (includes buffer for slippage)

For Other Assets:

• Calculate total fees + spread
• Convert to your TP format
• Add 20-30% buffer

Why This Matters: Without an offset, "breakeven" still results in a loss after fees. This ensures true breakeven or better.

Cooldown Period Settings

Enable Cooldown Period

Type: Boolean (On/Off)

When enabled, blocks new trade entries for a specified time period after exiting a position.

Purpose:

• Prevents revenge trading
• Avoids choppy re-entries
• Forces patience between trades
• Reduces overtrading

Cooldown Minutes

Type: Float Input
Unit: Minutes

Number of minutes to wait after exiting a trade before allowing new entries.

Configuration Guide:

Short Cooldown (5-15 minutes):

• High-frequency scalping
• Fast-moving markets
• Multiple opportunities per session

Medium Cooldown (20-45 minutes): ⭐ RECOMMENDED

• Standard day trading
• Prevents immediate re-entry
• Allows market to settle

Long Cooldown (60+ minutes):

• Swing trading
• Fewer trades per day
• Maximum selectivity

Example Configuration:

• Scalping MNQ: 30 minutes
• Day trading ES: 45 minutes
• Swing trading crypto: 120 minutes

Psychology Note: This is one of the most important risk management tools. It forces emotional discipline by preventing impulsive re-entries after exits.

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Entry & Exit Settings

Max Trades

Type: Float Input
Default: 5

Maximum number of trades allowed based on your "Limit Orders By" setting (Day / Session / Custom Session).

Configuration Strategy:

1 Trade:

• One-shot approach
• Highest selectivity
• Best for beginners
• Prop firm safe

2-3 Trades:

• Balanced approach
• Multiple opportunities
• Not overtrading

5+ Trades:

• Active trading
• Higher risk of overtrading
• Requires strong discipline

Prop Firm Consideration:Lower Max Trades = less risk of hitting daily loss limits

Recommendation: Start with 1-2 trades per session until you're consistently profitable.

Limit Orders By

Type: Dropdown Menu
Options: Day | Session | Custom Session

Determines how "Max Trades" is calculated.

Day:

• Counts trades from midnight to midnight
• Based on your configured Time Zone
• Simple 24-hour reset

Session:

• Counts trades within major market sessions
• Uses TradingView's built-in session definitions
• Examples: New York Session, London Session, etc.

Custom Session: ⭐ RECOMMENDED

• Counts trades within YOUR custom trading hours
• Configured in "Trading Time String" setting
• Maximum control and flexibility

Example:

• Max Trades: 1
• Limit Orders By: Custom Session
• Trading Time String: 0500-1100
• Result: Only 1 trade allowed between 5 AM - 11 AM

Enable MA Entry

Type: Boolean (On/Off)

Adds a moving average trend confirmation filter to entry conditions.

How It Works:

• LONG entries: Price must be above the MA
• SHORT entries: Price must be below the MA
• MA period set in "Trend Line Length" setting

When to Use:

• Additional trend confirmation
• Filtering counter-trend trades
• Slower, more selective entries

When to Disable:

• Already using strong trend filters
• Want more trade frequency
• Scalping (MA can lag)

Note: Most users don't need this if TrendScore and SignalWave are properly configured.

Enable EFO Entry

Type: Boolean (On/Off)

Activates Enhanced Flow Optimization entry condition using EFO thresholds configured in EFO Settings.

Usage:Advanced entry condition for experienced users. EFO analyzes order flow dynamics for entry timing optimization.

Recommendation: Leave DISABLED until you're familiar with the core algo behavior. Experimental feature.

Enable Volatility Entry

Type: Boolean (On/Off) ⭐ RECOMMENDED: ON

Requires Deepwave volatility reading to be below "Deepwave Low Entry Threshold" before allowing entries.

How It Works:

• Measures real-time volatility using Deepwave model
• Blocks entries when volatility exceeds threshold
• Prevents entries during chaotic price action

Why This Matters:Entering trades during high volatility = wider spreads, slippage, unpredictable price action, and failed setups.

When to Enable:

• Scalping and day trading (ALWAYS)
• Futures markets (ALWAYS)
• Risk-conscious trading

When to Disable:

• Breakout strategies that WANT volatility
• Swing trading with wide stops
• You know what you're doing

Bottom Line: This should be enabled 90% of the time. It's one of your best risk filters.

Enable HA Logic

Type: Boolean (On/Off)

Adds Heikin Ashi candle logic as an entry condition filter.

How It Works:Uses Heikin Ashi candle patterns (smoothed price representation) for trend confirmation.

When to Use:

• Additional trend smoothing
• Filtering noisy markets
• You specifically want HA confirmation

Considerations:

• Adds another filter = fewer trades
• Can lag price action
• Most users don't need this

Recommendation: Leave DISABLED unless you specifically understand and want HA filtering.

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Enable VWAP Entry

Type: Boolean (On/Off)

Requires price position relative to VWAP (Volume Weighted Average Price) to validate entries.

How It Works:

• LONG entries: Price must be above VWAP
• SHORT entries: Price must be below VWAP

When to Use:

• Day trading equities
• Futures trading (NQ, ES)
• Institutional price level awareness

When to Disable:

• Swing trading
• 24/7 markets (crypto)
• Small timeframes where VWAP less relevant

Asset-Specific:

• NQ/MNQ: Good filter ✅
• ES/MES: Good filter ✅
• Crypto: Less useful
• Forex: Less useful

Note: Works well for NQ/ES, but may over-filter on other assets. Test both ways.

Stop Loss Type

Type: Dropdown Menu
Options: Manual | Trend SL

Manual:Uses the fixed "Stop Loss Value" you configured in Stop Loss Settings.

Advantages:

• Predictable risk per trade
• Consistent R:R ratio
• Simple to backtest and understand
• RECOMMENDED for scalping and day trading

Trend SL:Places stop-loss at the level where trend direction changes (based on SignalWave).

Advantages:

• Dynamic stops based on market structure
• Can capture larger moves
• Automatically adjusts to volatility

Disadvantages:

• Unpredictable stop distance
• May result in very wide stops
• Can increase risk significantly
• Risky for scalping

Recommendation: Use "Manual" for scalping/day trading. Only use "Trend SL" for swing trading with large accounts.

High Volatility Exit

Type: Boolean (On/Off)

When enabled, exits entire position immediately if volatility spikes above "Deepwave High Exit Threshold."

How It Works:Monitors real-time volatility via Deepwave. If volatility explodes, exits the position regardless of current P&L or TP/SL status.

Why This Matters:Volatility spikes often precede major reversals or flash crashes. This exit protects you from catastrophic moves.

When to Enable: ⭐ RECOMMENDED: ON

• Scalping (ALWAYS)
• Day trading (ALWAYS)
• Risk-conscious trading
• Futures markets

When to Disable:

• Swing trading (positions should withstand volatility)
• Breakout strategies (volatility is expected)
• Very large stops that can handle spikes

Bottom Line: This is emergency risk management. Enable it.

Trailing Take Profit Settings

Enable Trailing Take Profit (TTP)

Type: Boolean (On/Off)

When enabled, after TP3 is reached, the algo activates a trailing stop instead of closing the entire position.

How It Works:

1. TP1 hits → Close partial position
2. TP2 hits → Close more partial position
3. TP3 hits → Instead of closing, activate trail
4. Trail follows price using "TTP Retracement" distance
5. Exit when price retraces by that distance

Advantages:

• Captures extended moves
• Lets winners run
• Can significantly increase profit on strong trends

Disadvantages:

• Might give back TP3 profit
• Adds complexity
• Can lead to late exits

TTP Retracement Format

Type: Dropdown Menu
Options: % | Ticks | Points | Pips

Must match your Take Profit Format.

TTP Retracement Value

Type: Float Input

Distance price must retrace from peak before trailing stop exits.

Configuration Best Practice:Set this equal to the distance between TP2 and TP3.

Example (MNQ):

• TP2: 144 ticks
• TP3: 233 ticks
• Distance: 89 ticks
• TTP Retracement: 89 ticks

This allows the trade to retrace back to TP2 level before exiting.

Recommendation: Most traders should DISABLE trailing TP and just use the three static TP levels. Trailing adds complexity and often underperforms the simple scale-out approach.

Time Filter Settings

Time Zone

Type: String Input
Format: UTC offset (e.g., UTC-5, UTC+1)

Sets the timezone for all time-based filters and calculations.

Examples:

• New York (EST): UTC-5
• New York (EDT): UTC-4
• London: UTC+0
• Tokyo: UTC+9
• Sydney: UTC+10

Important:

• All session filters use this timezone
• Daily P&L limits reset based on this timezone
• Weekday filters use this timezone

Action Required: ALWAYS set this to YOUR local timezone or the timezone of the market you're trading.

Force Trades to Close?

Type: Dropdown Menu
Options: Don't Force Close | Force Close at Day | Force Close at Session | Force Close at Custom Closure Time String

Controls whether positions are automatically closed at specific time boundaries.

Don't Force Close:

• Positions remain open until TP/SL
• Can hold overnight/multi-day
• For swing trading

Force Close at Day:

• Closes all positions at midnight (your timezone)
• Simple day trading rule

Force Close at Session:

• Closes at major session end (NY, London, etc.)
• Useful for session traders

Force Close at Custom Closure Time String: ⭐ RECOMMENDED for Day Trading

• Closes at YOUR specified time
• Maximum control
• Prevents overnight holds

Example (MNQ Scalping):

• Trading Session: 5 AM - 11 AM
• Force Close: Custom Closure Time String
• Result: All positions closed by 11 AM automatically

Enable Weekdays Filter

Type: Boolean (On/Off)

When enabled, restricts trading to only the weekdays you select.

How It Works:Select checkboxes for Monday, Tuesday, Wednesday, Thursday, Friday. The algo only trades on checked days.

When to Use:

• Crypto trading (markets never close)
• Avoiding specific days (e.g., no Friday trading)
• Personal schedule restrictions

When NOT Needed:

• Futures trading (markets already close weekends)
• Stocks (markets already close weekends)

Note: Most futures/stock traders should leave this DISABLED since those markets don't trade weekends anyway.

Enable Session Filter

Type: Boolean (On/Off)

When enabled, restricts trading to major market sessions.

Available Sessions:

• New York (9:30 AM - 4 PM ET)
• London (3 AM - 11:30 AM ET)
• Tokyo (7 PM - 4 AM ET)
• Sydney (5 PM - 2 AM ET)

When to Use:

• Trading specific liquidity windows
• Forex trading (session-dependent)
• International indices (Nikkei, FTSE, DAX)

Example Use Cases:

• Only trade NQ during New York session
• Forex: Trade EUR/USD during London + NY overlap
• Nikkei futures: Only during Tokyo session

Enable Custom Filter

Type: Boolean (On/Off) ⭐ RECOMMENDED for Day Traders

When enabled, restricts trading to the custom time window(s) you define in "Trading Time String."

Why This Is Powerful:

• Trade only YOUR optimal hours
• Avoid low-liquidity periods
• Align with your schedule
• Maximum control

When to Use:

• Day trading and scalping (ALWAYS)
• Prop firm trading
• Part-time traders
• Optimizing for specific market behavior windows

Trading Time String

Type: String Input
Format: 24-hour format "HHMM-HHMM"
Example: "0500-1100" = 5 AM to 11 AM

Defines your custom trading session(s).

Single Session Example:

0500-1100

Trades only from 5 AM to 11 AM (your timezone).

Multiple Sessions Example:*
```
0200-0500,1000-1400
```
Trades from 2 AM to 5 AM AND 10 AM to 2 PM.

**Configuration Tips:**

**For MNQ/NQ:**
- **0500-1100** (5 AM - 11 AM CT) = New York open volatility
- **0830-1200** (8:30 AM - 12 PM CT) = Core morning session

**For ES:**
- **0830-1100** (8:30 AM - 11 AM CT) = Highest volume

**For Crypto:**
- Custom based on historical volatility patterns
- Often: **0800-1600** for daytime trading

For Forex:
- **0200-1200** (London + NY overlap)

> **Pro Tip**: Backtest different time windows to find when YOUR strategy performs best. Every algo has optimal hours.

---

### Force Close Hour (24h) / Force Close Minute
**Type**: Integer Input  
**Format**: 24-hour time

Sets exact time to force close all positions when using "Force Close at Custom Closure Time String."

How It Works:
- **Force Close Hour**: 0-23 (24-hour format)
- **Force Close Minute**: 0-59

Example:
- Force Close Hour: 11
- Force Close Minute: 0
- Result: All positions closed at 11:00 AM

**Important Notes:**
- Uses your configured Time Zone
- Closes at market price (market order)
- Overrides TP/SL levels

> **Note**: If you're using "Enable Custom Filter" with "Trading Time String," the algo will automatically close positions at the end of your custom session. These manual close time settings provide additional control if needed.

---

## Quick Start Configuration Templates

### MNQ Scalping Template
```
DATA MODE: Real-Time Data
ASSET CLASS: Futures
TRADING STYLE: Scalping

PROP FIRM:
- Enable: ON
- Daily Profit: $1,000
- Daily Loss: $1,000

TREND TIMEFRAMES:
- Primary: 40m (TrendScore + SignalWave)
- Secondary: 15m (SignalWave only)

TRENDSCORE: 0.04 / -0.04

DEEPWAVE:
- Entry Mode: Low Volatility
- Entry Threshold: 1.2
- Exit Threshold: 2.0

TAKE PROFIT (Ticks):
- Format: Ticks
- TP1: 89 (30%)
- TP2: 144 (40%)
- TP3: 233 (30%)

STOP LOSS (Ticks):
- Format: Ticks
- Value: 233
- Move to Entry after TP1: ON
- Move to TP1 after TP2: ON
- Breakeven Offset: 10 ticks

COOLDOWN: 30 minutes

ENTRY CONDITIONS:
- Enable Volatility Entry: ON
- Stop Loss Type: Manual
- High Volatility Exit: ON

MAX TRADES: 1
LIMIT BY: Custom Session

TIME FILTER:
- Time Zone: UTC-5
- Enable Custom Filter: ON
- Trading Time String: 0500-1100
- Force Close: Custom Closure Time String
```

---

### ES Day Trading Template
```
DATA MODE: Real-Time Data
ASSET CLASS: Futures
TRADING STYLE: Day Trading

TREND TIMEFRAMES:
- Primary: 1H (TrendScore + SignalWave)
- Secondary: 30m (SignalWave only)

TRENDSCORE: 0.04 / -0.04

DEEPWAVE:
- Entry Threshold: 1.0
- Exit Threshold: 1.8

TAKE PROFIT (Ticks):
- TP1: 40 (30%)
- TP2: 72 (40%)
- TP3: 120 (30%)

STOP LOSS (Ticks):
- Value: 120
- Move to Entry after TP1: ON
- Move to TP1 after TP2: ON

COOLDOWN: 45 minutes

MAX TRADES: 2
CUSTOM SESSION: 0830-1500
```

---

### Crypto Swing Trading Template
```
DATA MODE: Historical Data
ASSET CLASS: Crypto
TRADING STYLE: Swing Trading

TREND TIMEFRAMES:
- Primary: 4H (TrendScore + SignalWave)
- Secondary: 1H (SignalWave only)

TRENDSCORE: 0.04 / -0.04

TAKE PROFIT (%):
- TP1: 1.5% (40%)
- TP2: 3% (60%)
- TP3: Disabled

STOP LOSS (%):
- Value: 2%
- Stop Loss Type: Manual

COOLDOWN: Disabled

ENTRY CONDITIONS:
- Enable Volatility Entry: OFF
- Enable VWAP Entry: OFF

MAX TRADES: 5
LIMIT BY: Day

‍

Troubleshooting Common Issues

"My backtest shows no trades"

Possible Causes:

1. TrendScore thresholds too strict (>0.05)
2. Too many entry conditions enabled
3. Deepwave thresholds too restrictive
4. Custom time session doesn't match chart timeframe data
5. Max Trades set to 0

Solution:

• Disable all optional entry conditions
• Set TrendScore to 0.04/-0.04
• Increase Deepwave Entry Threshold
• Verify time zone settings

"Backtest results drastically different between Real-Time and Historical"

This is normal. The two modes use fundamentally different data:

• Real-Time = Live bar data (repaints during bar formation)
• Historical = Only closed bar data

Solution:

• Choose one mode and stick with it
• Real-Time for live trading
• Historical for bot trading or zero-repaint requirement

"Positions not closing at my TP levels"

Possible Causes:

1. Take Profit Format doesn't match Stop Loss Format
2. Contract size doesn't divide evenly with TP percentages
3. TTP enabled (overriding TP3)

Solution:

• Verify all formats match (TP/SL/Breakeven)
• Use compatible contract sizes (3, 5, 10)
• Disable Trailing TP if not using

"Stop loss too wide / too tight"

Solution:

• Tight stops: Increase "Stop Loss Value" or use "Move SL to Entry after TP1"
• Wide stops: Decrease "Stop Loss Value" or change from "Trend SL" to "Manual"

"Too many/few trades"

Too Many Trades:

• Lower TrendScore thresholds (closer to 0.03)
• Enable more entry conditions (Volatility, VWAP, EFO)
• Increase Deepwave Entry Threshold (stricter)
• Decrease Max Trades
• Enable Cooldown Period

Too Few Trades:

• Raise TrendScore thresholds (closer to 0.05)
• Disable optional entry conditions
• Decrease Deepwave Entry Threshold (more lenient)
• Use lower trend timeframes
• Widen custom trading session

Best Practices Summary

1. Always start with a proven template (like MNQ config above), then tweak
2. Match all formats (TP Format = SL Format = Breakeven Format)
3. Use compatible contract sizes with TP percentages
4. Enable "Move SL to Entry after TP1" for risk-free trades
5. Enable "Enable Volatility Entry" for cleaner entries
6. Use Custom Session filtering for optimal trading hours
7. Set realistic Daily Loss Limits if using prop firms
8. Start with Max Trades = 1 until consistently profitable
9. Enable Cooldown Period to prevent overtrading
10. Backtest extensively before live trading

Support & Resources

Need Help?

• Join our Discord community
• Check video tutorials library
• Submit support tickets through dashboard

Experimentation:The beauty of Paradox Algo is its configurability. These docs provide foundations, but YOUR best settings come from testing on YOUR assets, YOUR timeframes, YOUR risk tolerance.

Start with templates. Test. Tweak. Optimize. Dominate.

Welcome to Paradox Algo v6.0. 🚀

‍

‍

‍

🔹 Quantum Edge Automated Strategy

In-Depth Functionality:

This strategy focuses on futures markets, especially those using Renko bricks—a charting method that filters out minor price noise to highlight significant moves. It is optimized for capturing big, institutional-style entries.

Mathematical Underpinning:

• Renko Chart Logic: Based on fixed or ATR-based brick sizes, which adapt to market volatility.
• Precision Entry Algorithms: Use pattern recognition and flow analysis to pinpoint optimal entry points.
• Adaptive Stop-Loss / Take-Profit: Based on volatility and recent market structure; avoids static targets that become irrelevant in changing regimes.

Practical Scenarios:

• During trending markets, Quantum Edge can identify high-probability entries with tight stops.
• In choppy markets, it reduces trade frequency, avoiding false signals.
• When volatility spikes, it dynamically adjusts position sizes and targets.

Advanced Tips:

• Combine with TrendScore to ensure trades align with the broader trend.
• Use session filters to avoid false signals during low-liquidity periods.
• Regularly review the model’s parameters as market conditions evolve.

Historical Fact:

Futures markets, especially commodities and indices, are heavily influenced by liquidity andmacroeconomic factors. Quant models that incorporate liquidity footprints and volatility regimescan outperform traditional trend-following or breakout systems.

Time needed: 5 minutes

Steps:

• Subscribe on paradoxalgo.com.
• Send your TradingView username.
• Log into TradingView, open any chart.
• Add the core indicator (we recommend starting with Paradox Algo Strategy).
• Observe signals, entries, and exits appearing in real-time.
• Begin paper trading or small live trades to familiarize yourself.

Step 1: Log into TradingView with your account.

Step 2: Open your preferred asset chart—be it a forex pair, futures contract, or stock.

Step 3: Navigate to Indicators → Invite-Only Scripts.

Step 4: Select your Paradox Algo indicators.

Step 5: Customize parameters,these are designed to be flexible for different assets and styles.

Tip: Use multiple indicators in tandem to confirm signals.This reduces false positives andincreases confidence.

1. Subscription: Choose the plan that fits your trading style and asset focus on paradoxalgo.com.
2. User Information: Post-subscription, provide your TradingView username to us for access.
3. Invitation: You will receive an invite link—usually within 24 hours—allowing you to unlock premiumscripts.
4. Activation: Open TradingView, head to Indicators → Invite-Only Scripts. Your tools will be listed there,ready to deploy.
5. Setup:Adjust the indicator parameters to suit your chosen timeframe, asset class, and trading style.

Experiment with different settings to understand how each impacts the signals.

Understanding the nature of these tools is essential. Think of them as marketmicroscopes—they reveal hidden structures and flow that are invisible to the naked eye ortraditional indicators. They do not rely on lagging signals but instead interpret the market’scurrent state and likely future.

Scenario:

Suppose the market is in a ranging phase with low volatility. Traditional indicators might givemixed signals. Our models, however, recognize the low-volatility regime using volatilityclustering models and suggest waiting until the market shifts into a trending phase—indicating ahigher probability for profitable trades.

In contrast, during high-volatility periods, our models adjust their sensitivity, reducing falsesignals and filtering noise, much like a seasoned trader who knows when to tighten stops orreduce position sizes.

• Predictive Power: Our Quantitative models are designed to forecast market moves before they fully materialize, giving you an edge.
• Neural Testing: All tools are backtested across multiple years, assets, and market conditions using Quantitative neural models to ensure reliability & accuracy.
• Ease of Use: While based on complex models, our tools are plug-and-play, allowing traders to focus on execution rather than complex analysis.

Our tools are designed for traders who want to trade with the precision and consistency of large institutions. We recognize that retail traders often operate with limited information and rely heavily on visual indicators that can be deceptive. Paradox Algo’s goal is to bridge that gap with models that interpret the underlying market microstructure, flow, and macro trends.

What Makes Our System Different:

• Unlike simple moving average crossovers, our models analyze the context of a move, considering volatility regimes, order book imbalances, and liquidity zones.
• Our indicators adapt to different timeframes, recognizing that the same model can serve scalpers, day traders, or swing traders with appropriate parameter adjustments.
• We incorporate the concept of anticipation—predicting where the market is likely to go next—rather than just confirming what has already happened.

Paradox Algo represents a new frontier in the world of trading tools. At its core, it is asophisticated, data-driven, and mathematically grounded trading system rooted in principlesfrom quantitative finance—an area that has revolutionized asset management and hedge fundsover the past few decades. Unlike retail trading indicators, which are often based on simplifiedheuristics or heuristic overlays that can produce false signals, Paradox Algo leveragesadvanced algorithms, statistical models, and institutional techniques to generate high-probabilitytrading signals.

Historical Context and Evolution:

Quantitative finance emerged in the late 20th century as a response to the limitations ofdiscretionary trading. Hedge funds and institutional investors started employing mathematicians,statisticians, and computer scientists to analyze markets at scale—using vast datasets toidentify patterns, inefficiencies, and arbitrage opportunities. These models often rely onconcepts like mean reversion, momentum, volatility clustering, and liquidity flows—concepts thatform the backbone of Paradox Algo’s design.

Why Quantitative Models Matter:

Traditional retail indicators—like RSI, MACD, or Fibonacci retracements—are often lagging oroversimplified. They do not incorporate the multitude of factors influencing price movements,such as order book dynamics, macroeconomic news, or institutional footprints. Paradox Algo, bycontrast, employs a multi-layered approach, combining price action with underlying marketstructure, flow, and volatility to produce signals that anticipate moves

Core Principles of Paradox Algo:

• Data-Driven: All signals are generated through rigorous testing and validation against historicalmarket data, ensuring robustness.
• Rule-Based: Instead of discretionary judgment, signals follow explicit mathematical rules,reducing emotional bias.
• Adaptive: Indicators adjust to changing market regimes—whether trending, ranging, orvolatile—mimicking how institutions manage risk.
• Multi-Asset Compatibility: Designed to work seamlessly across futures, forex, stocks, andcrypto, recognizing that different markets have unique characteristics but share underlyingfinancial principles.