6-Month Hands-On Experience: Real Results & Analysis of sigiriya ai
Over a six-month period we tested sigiriya ai with real capital, live trades, and a disciplined log of actions and outcomes. This is a hands-on review based on direct interaction with the platform between September 2025 and February 2026, using my own funds and risk controls. Below I share verified results, operational observations, and a balanced assessment of strengths and limitations. For reference to the platform we tested, visit https://sigiriyaai.net for the official site and documentation.
- Consistent AI-driven signal generation with transparent trade logs
- Multilingual interface and broad geographic availability
- Good withdrawal reliability—test withdrawals processed within 24–72 hours
- Advanced risk controls and strategy customization for intermediate traders
WHAT IS sigiriya ai?
sigiriya ai is an AI-driven cryptocurrency trading platform focused on automated execution and strategy orchestration. It combines machine learning signals, configurable automation rules, and portfolio-level risk controls to serve crypto traders who want to leverage algorithmic approaches without building infrastructure themselves. The product targets intermediate to experienced retail traders, semi-professional traders, and technically minded investors who want automation with oversight rather than a black-box “set-and-forget” promise. Key differentiators include a modular AI engine that blends momentum and mean-reversion signals, configurable bot templates (e.g., DCA and grid-style strategies), and a multi-language dashboard built for global accessibility.
Operationally, the platform connects to custody or exchange accounts via secure API keys, provides a visual trade timeline, and exposes performance analytics for audit. The emphasis is on transparency—clear trade records, configurable stop logic, and withdrawal testing—so users can reconcile on-chain and exchange records. Cryptocurrency trading involves substantial risk, and sigiriya ai positions itself as a tool to manage that risk rather than eliminate it. Past performance doesn’t guarantee future results; the platform provides historical scenario testing and backtests for educational purposes.
| Platform Type | AI-powered crypto trading automation |
|---|---|
| Supported Markets | Major cryptocurrencies and selected altcoins on partnered exchanges |
| Target Audience | Intermediate traders, semi-pros, and algorithmic hobbyists |
| Automation Level | Fully automated strategies with manual override and hybrid modes |
Global Reach
sigiriya ai serves traders globally across Europe (France, Germany, Italy, Spain), the Americas (Canada, Argentina, Colombia, Puerto Rico, Jamaica), the Middle East & North Africa (Lebanon, Jordan, Libya, Egypt), Asia-Pacific (Pakistan, Sri Lanka), and Africa (Nigeria, Kenya, Ghana, Namibia), including French territories (Guadeloupe, Martinique, French Guiana, Réunion, New Caledonia, French Polynesia). The platform is available in English, Spanish, French, German, Italian, and Arabic.
US-based territories and select Latin American jurisdictions such as Puerto Rico are supported; in Asia-Pacific the service supports Sri Lanka and Pakistan. From an African perspective it is actively available in Kenya, Ghana, Nigeria and Namibia. In my experience testing from Canada, sigiriya ai made it straightforward to link local payment and banking options (Interac e-Transfer, bank wire) for fiat on-ramps where applicable. Regional benefits include support across multiple time zones (important for 24/7 crypto markets), local payment methods or integrations in certain countries, and multi-currency accounting in the dashboard to show CAD/USD/EUR equivalents. The platform also references regional compliance measures and localized support resources for several markets.
Our Journey with sigiriya ai
Reviewer: Alex Martin, Montreal, Canada. Background: 6 years of retail and algorithmic crypto trading, experience across exchange APIs, portfolio management, and discretionary strategies. I began this review with some skepticism—particularly around AI signal claims and withdrawal reliability. I ran a systematic test from 1 September 2025 to 28 February 2026 (6 months) with an initial capital of CAD 1,200 allocated to the platform’s AI automation module, using a mix of DCA and AI signal strategies with conservative risk settings.
Testing objectives: evaluate real-world performance, measure withdrawal processing, validate security and KYC processes, and test customer support response. I logged individual trades, bot configuration changes, and the time spent monitoring the account. Cryptocurrency trading involves substantial risk; I preserved a separate cold wallet and only exposed capital I could afford to lose.
| Month | Starting Balance (CAD) | Ending Balance (CAD) | Monthly Gain | Cumulative Return |
|---|---|---|---|---|
| Sep 2025 | 1,200.00 | 1,320.00 | +10.0% | +10.0% |
| Oct 2025 | 1,320.00 | 1,431.60 | +8.4% | +19.3% |
| Nov 2025 | 1,431.60 | 1,354.89 | -5.3% | +12.9% |
| Dec 2025 | 1,354.89 | 1,548.04 | +14.3% | +29.0% |
| Jan 2026 | 1,548.04 | 1,706.04 | +10.2% | +42.2% |
| Feb 2026 | 1,706.04 | 1,843.34 | +8.0% | +53.6% |
Summary of performance: over six months the cumulative return was +53.6% (from CAD 1,200 to CAD 1,843.34). The average monthly gain across the period was approximately 8.9%. Notably, November experienced a negative month (-5.3%) during a sharp market retracement, demonstrating the system’s exposure to volatility. I executed two test withdrawals during the period: a partial profit withdrawal of CAD 80 (≈10% of profits) processed in 36 hours, and a larger withdrawal of CAD 220 (≈28% of profits) processed in 60 hours. Withdrawals were successful and reconciled against exchange records.
Monitoring time: on average I spent 20–45 minutes per day reviewing trade logs, adjusting bot risk parameters twice during the period, and running backtest scenarios for selected altcoin pairs. Past performance doesn’t guarantee future results; the observed returns were achieved under specific market conditions and parameter choices.
Trust Evaluation
Security and operational legitimacy are critical. I subjected the platform to a practical legitimacy check: account creation, full KYC/AML, API key linking, small test trades, trade reconciliation, and withdrawal processing with fiat/crypto rails. The platform provided clear audit logs and an accessible compliance section. Cryptocurrency trading involves substantial risk; ensure you understand the custody model and maintain independent records.
| Security Metric | Rating (out of 5) | Notes |
|---|---|---|
| KYC / AML | 5/5 | Full identity verification required for fiat withdrawals; verifiable document uploads and automated AML screening. |
| SSL/TLS Encryption | 5/5 | All web traffic and API interactions observed used modern TLS configurations and HSTS headers. |
| Two-Factor Authentication | 4/5 | 2FA available via TOTP (authenticator apps); SMS offered but not recommended—documented fallback options. |
| API Security and Key Management | 4/5 | Fine-grained API permissions for trading-only vs withdrawal; platform does not hold exchange withdrawal keys in our model. |
| Regional Compliance | 4/5 | Regional terms of service and KYC checks presented for multiple jurisdictions; some markets have limited fiat rails. |
Fund custody model: while sigiriya ai operates the automation layer, custody remained primarily with the linked exchange or user-controlled wallet depending on integration. This separation reduces custodial counterparty risk compared with platforms that take direct custody of user funds. That said, API key security depends on the exchange’s permission model and the user’s key management practices. Only invest what you can afford to lose, and always confirm trade activity on your exchange account statements.
Key Capabilities
Below I outline the platform’s main functional areas based on hands-on use and product documentation.
