Click on the link https://ct.spotware.com/investor/MTj91sTO?lang=en&theme=light&platform=ios to see if and when Goddess NanaAkua gets going and makes a good profitable job, on US500 15-minute timeframe.

GODDESS NANAAKUA is a sophisticated, multi-engine algorithmic trading system engineered for FX pairs and adaptable to a wide range of liquid markets. Designed with a modular architecture, it seamlessly blends trend-aware positioning, structured position scaling, and precision short-cycle execution. The system prioritises capital preservation, adaptive risk scaling, and intelligent market filtering to maintain consistency across varying volatility regimes.

GODDESS NANAAKUA algorithm has been successfully backtested on exotic pairs GBP/SGP, GBP/JPY, USD/JPY, EUR/JPY, AUD/USD, NZD/USD. With this algorithm, you will also have indicators and a live info panel on the chart: 4-EMA, 3 ATR, 2-RSI, and a live info panel tracking daily PnL, win rate, and trades. GODDESS NANAAKUA comes with an inbuilt algorithmic logic of Profit Accumulation and daily profit targets, so as to reinforce the algorithm logic machine learning of winning trade patterns.

Why exotic FX Pairs? Because these CFDs are more difficult for your broker to hedge, and trades are less crowded, Nordic FX pairs, such as USD/SEK and USD/NOK, are often traded by investment bank FX desks for profit, very successfully.

GODDESS NANAAKUA backtesting has been implemented with raw/account spreads,

⚙️ Core Algorithm Logic

Broad functional overview of the system’s decision-making framework:

🔹 Regime-Aware Signal Engine

Identifies prevailing market structure using a fusion of trend-filtered momentum and mean-reversion dynamics. Entries are strategically placed via pending order logic to optimise execution precision and reduce market impact.

🔹 Structured Grid & Scaling Framework

A controlled accumulation engine manages position layering during consolidating or ranging environments. Features dynamic spacing, time-based order pacing, and progressive lot scaling to maintain structural integrity while managing drawdown exposure.

🔹 Precision Scalping Module

A dedicated short-cycle engine captures micro-inefficiencies and rapid momentum shifts. Integrated with instant-lock protocols and rapid exit routines to secure quick gains while minimising overnight or extended exposure.

🔹 Volatility & Liquidity Filters

Built-in market condition monitors automatically adjust trading activity based on real-time spread, slippage, and volatility thresholds. Ensures the system operates only when execution quality aligns with predefined stability criteria.

🛡️ Risk & Position Management

GODDESS NANAKUA employs a layered defence system to protect capital and optimise trade lifecycles:

• Smart Exit Architecture: Dynamic break-even triggers, intelligent partial profit-taking, and volatility-adjusted trailing protocols lock in gains while allowing room for favourable price extension.
• Quick-Protect & Circuit Breakers: Automated position shielding activates during adverse price movement. Consecutive loss thresholds and drawdown throttling mechanisms pause or reduce exposure during unfavourable market phases.
• Adaptive Capital Scaling: Performance-based sizing algorithms gradually adjust risk parameters as account equity grows, promoting sustainable compounding while capping exposure during retracement cycles.
• Position & Exposure Limits: Configurable caps on concurrent trades, grid levels, and scalping activity prevent over-leveraging and maintain balanced portfolio distribution.

🌍 Recommended Algorithmic Trading Best Practice

• Markets: Optimised for exotic FX pairs; fully adaptable to majors, minors, indices, and commodities with sufficient liquidity.
• Timeframes: Configured for mid-to-higher timeframe stability (H1 and above recommended for core logic).
• Environment: Requires a reliable VPS for uninterrupted execution and order management.
• Best Practice: Begin with conservative parameters in a demo environment. Gradually scale exposure and adjust risk multipliers as you validate system behaviour under live market conditions.

⚠️ Risk Disclosure

Trading financial instruments carries a high level of risk and may not be suitable for all investors. Past performance, historical replay results, or backtest data are not indicative of future results. GODDESS NANAKUA is designed to assist with systematic, rule-based trading but does not guarantee profits or eliminate the possibility of loss. Users are solely responsible for understanding market risks, conducting thorough testing, and managing their own capital allocation. Always trade with funds you can afford to lose.

For backtesting the Try Product, you can input these parameters for standard and ECN raw accounts.

With the try product optimisation,n any trader can find many setups to backtest and try with Demo.

⚠️ Important Disclaimers

1. No Performance Guarantees: Trading financial instruments involves substantial risk. Past performance, including backtested or historical replay results, is not indicative of future results. The developer makes no representations or warranties regarding profitability, consistency, or drawdown behaviour in live markets.
2. Market & Broker Dependency: Actual results vary based on broker execution quality, spread conditions, slippage, liquidity, news volatility, and server infrastructure. The algorithm’s filters and hedging logic assume stable, low-latency execution environments.
3. Parameter Responsibility: All configurable settings (grid spacing, multipliers, risk per trade, session filters, lot sizing, etc.) are user-adjustable. Improper configuration may increase exposure, breach margin limits, or trigger unintended position clustering. Users must thoroughly test parameter sets in demo environments before live deployment.
4. Use at Your Own Risk: By installing or running CBOTs, you acknowledge that you have read, understood, and accepted all technical requirements, configuration responsibilities, and risk disclosures. The developer assumes no liability for losses, margin calls, platform errors, or execution deviations resulting from live trading.
5. Electronic Communication Network (Finance/Trading): a computerised system that automatically matches buy and sell orders for securities. It allows major brokerages and individual traders to trade directly without an intermediary like a stock exchange specialist. Broker-dealers ' quality of matching engine and order-filling varies across the industry and requires traders to actively monitor slippage and spreads, limiting max spread and max slippage to obtain optimal order matching. Important to understand that Broker-dealer desks often do not match retail traders' algorithmic strategies, as this is due to the technical requirement of VPS latency <1ms. but also on Brokers' routing choices. CFDs are synthetic prices, not centrally cleared at the stock exchange level, but algorithmically matched by Broker-Dealers ' desks.

Important on Optimisation Requirements

This algorithm is designed for both beginner and expert traders, but it is absolutely not suitable for lazy traders. For each financial instrument you wish to trade, whether it is a currency pair, index, commodity like gold or silver, or individual stock, you must perform your own optimisation process to find the optimal settings. Market behaviour differs significantly between instruments, and what works perfectly on one symbol will not work on another without proper tuning. The algorithm provides a state-of-the-art, high-quality framework and unique fitness optimisation tools, but you must be willing to invest the effort to adapt it to your chosen markets. This is a precision tool for serious, active traders who understand that market adaptation is the key to long-term profitability.

Past performance, including the backtest results presented for XAUUSD, does not guarantee future results. The algorithm's performance will vary based on market conditions, broker execution quality, latency, and parameter configuration. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown in backtests.

The algorithm requires instrument-specific optimisation. Parameters that perform well on one symbol or timeframe may produce losses on another. Users are solely responsible for conducting their own testing and validation before deploying the algorithm on a live account.

© GODDESS NANAAKUA | Engineered for cTrader Platform | Multi-Asset Adaptive Architecture