Common Questions

ETH Core AI is an AI-powered Ethereum trading decision engine. It scans ETH market structure, multi-timeframe bias, chart patterns, liquidity, funding rates, BTC correlation, macro/news risk, and AI reasoning to produce clear trade decisions — with entry, stop loss, take profit, confidence score, and an explanation.

No. ETH Core AI is a fully independent product built by Saud Faisal. It has no affiliation with the Ethereum Foundation, Consensys, or any blockchain organization. The name refers to the asset (ETH) it analyzes — not any organizational relationship.

No. ETH Core AI is a decision support engine, not an automated trading bot. It produces signals and trade plans, but all trade execution is done manually by the trader based on their own judgment. You are always in control of your trades.

ETH Core AI is exchange-agnostic. It produces trade signals and levels — where and how you execute is entirely up to you. Any ETH/USD or ETH/USDT perpetual futures exchange can be used.

ETH Core AI is built primarily for the 15-minute ETH trading context. This is the setup timeframe. It uses 4H and 1H for trend and structure, and 5m/1m for trigger confirmation — but the primary setup timeframe is 15 minutes.

Currently, ETH Core AI is focused exclusively on Ethereum. BTC correlation is used as a context signal, but signals are not generated for BTC independently. Expansion to other assets may happen in the future after the ETH engine is validated.

EXECUTABLE means the signal has passed all eight risk gates: confidence threshold, confirmed entry trigger, minimum RR ratio, normal volatility, no macro blackout, no news blackout, no liquidity squeeze risk, and no AI reasoning conflict. Only EXECUTABLE signals are recommended for live entries.

Direction (LONG/SHORT/WAIT) and execution readiness are separate judgments. The system may determine the market favors LONG, but if the entry trigger is not confirmed, RR is insufficient, a news blackout is active, or the AI reasoning conflicts — the trade is blocked from execution. Non-executable signals are for context only, not for entries.

A triggered trade means a LONG or SHORT direction was detected — a pattern or setup was identified. An executable trade means the setup also passed all risk and quality filters. Triggered trades can occur frequently; executable trades are rare and high-quality. You should only act on executable signals.

Yes. Confidence is one of eight gates. Even with maximum confidence, a trade will be blocked if a macro blackout is active, a news event is imminent, volatility is extreme, or the AI reasoning directly contradicts the signal direction. High confidence does not override safety filters.

A news blackout is a period when high-impact news or macro events (FOMC rate decision, CPI data, etc.) are expected within a specified time window. During blackouts, ETH Core AI suspends trade execution regardless of signal quality, because news events can invalidate technical setups instantly.

No. Crypto trading involves significant financial risk. ETH Core AI is designed to improve decision quality and filter weak setups — but no trading system can guarantee profits. Past performance does not guarantee future results. You should never risk money you cannot afford to lose.

Performance data is available on the Performance page. As of now, the system is in an early live tracking phase and the sample size is still growing. We do not make win rate claims at this stage because the data is not yet statistically significant. We track everything transparently — including losses.

There is no minimum requirement from our side, but for practical risk management, a minimum of $1,000 is suggested. This allows you to apply recommended 1–2% risk per trade without position sizes being too small to be meaningful.

ETH Core AI does not recommend leverage amounts. In general, keeping leverage low (3–5x or lower) gives more room to let trades breathe before SL is hit. High leverage amplifies both gains and losses — use it cautiously and in line with your personal risk tolerance.

The AI assistant is powered by Google Gemini. It has access to the current signal, trade plan, recent history, and market context. You can ask it to explain the current decision, analyze a past trade, discuss current risks, or answer general Ethereum trading questions in natural language.

The system analyzes trade outcomes to identify recurring failure patterns. When evidence accumulates, it generates a structured recommendation — a specific parameter change with reasoning. The trader reviews this in the dashboard and explicitly approves or rejects it. No strategy change happens automatically.

No. The learning system can propose changes, but every strategy modification requires human approval. This is a deliberate design choice — to prevent the system from adapting to noise or making unreviewed changes that could harm performance.