Full Feature Breakdown
Built for Precision, Not Volume.
Every feature in ETH Core AI was designed around a single goal: give traders fewer, better, more explainable trade decisions.
01
Executable Signal Filter
The most important feature. ETH Core AI separates directional bias (LONG/SHORT/WAIT) from execution readiness. A signal is only marked EXECUTABLE when all gates pass simultaneously.
✓
Confidence Gate
Signal must reach minimum confidence threshold based on multi-factor alignment score.
⚡
Trigger Confirmation
Reclaim, rejection, breakdown, or bounce pattern must be confirmed on a lower timeframe before entry.
📐
RR Requirement
Risk-to-reward ratio must meet minimum threshold (typically ≥ 1.5:1) with clear SL and TP levels.
🛑
Macro/News Blackout
Trading is suspended during high-impact macro events (FOMC, CPI, etc.) or active news blackouts.
💨
Volatility Filter
Extreme volatility conditions automatically flag the signal as not safe to enter.
🤖
AI Conflict Check
If Gemini AI reasoning directly contradicts the signal direction, the trade is blocked.
02
Trade Plan
Every executable signal includes a complete, actionable trade plan — not just a direction.
Entry Zone
A specific price range for the entry, calculated from pattern and structure analysis.
Stop Loss
Clear invalidation level placed below/above key structure. Never arbitrary.
Take Profit 1 & 2
Two target levels with different RR ratios, based on liquidity and structure analysis.
Risk-to-Reward
Calculated RR shown for TP1 so traders know the expected payoff before entering.
03
Multi-Timeframe Engine
Each timeframe plays a specific role in the analysis pipeline. No single timeframe makes a decision alone.
4H
Trend Direction
The 4-hour chart sets the dominant market bias. Trades go with this trend unless there is a strong counter-trend setup.
1H
Market Structure
The 1-hour chart confirms higher-low / lower-high structure, key levels, and trend continuation or reversal signs.
15m
Setup Timeframe
The 15-minute chart is the primary setup timeframe for ETH Core AI — where patterns form and entries are planned.
5m
Trigger Confirmation
The 5-minute chart is used to confirm entry triggers — candle closes, reclaims, and pattern confirmation.
1m
Micro Context
The 1-minute chart provides short-term RSI, momentum, and micro structure for precise timing awareness.
04
AI Reasoning Layer
Powered by Gemini AI, the reasoning layer explains every decision in plain English — so you always understand why a trade is or is not safe.
🤖
Trade Explanation
Explains the current signal decision, what conditions are met, and what is still missing for execution.
🔍
Loss Analysis
After a trade closes at a loss, AI analyzes what went wrong and what could be learned from the setup.
💬
Assistant Chat
Ask the AI assistant about current market conditions, specific trades, or general ETH analysis in natural language.
05
Smart Money & Derivatives
Market context beyond price — funding rates, open interest, liquidity levels, and BTC correlation inform every decision.
📊
Funding Rate
Tracks whether the market is overcrowded long or short, which can signal squeeze risk or momentum exhaustion.
📈
Open Interest
OI changes reveal whether new money is entering the market or positions are closing — critical for move validity.
💧
Liquidity Levels
Coinalyze-powered liquidation level data shows where forced selling or buying may create price magnets.
₿
BTC Correlation
BTC trend bias is tracked and used to validate or conflict with ETH signals during correlated market conditions.
06
Trade History & Loss Diagnosis
Every triggered trade is logged with a unique ID, outcome tracking, and detailed loss analysis — so nothing is forgotten or hidden.
Trade Log
Every signal that triggers a trade entry is logged with timestamp, entry, SL, TP, decision, and confidence score.
Outcome Tracking
TP1, TP2, or SL hit is recorded. Max favorable and adverse excursion data is tracked for each trade.
Loss Diagnosis
When a trade hits SL, the system diagnoses the primary reason: early entry, news event, liquidity sweep, or pattern failure.
Win Rate Split
Separate win rates are tracked for all triggered trades vs. executable-only trades — the difference matters.
07
Human-Approved Learning
ETH Core AI learns from its mistakes — but no strategy change happens without human review and explicit approval.
1
System Identifies Patterns
After enough trade data, the system identifies recurring failure patterns and generates improvement proposals.
2
Recommendation Created
A structured recommendation is created with evidence, expected impact, and the proposed parameter change.
3
Human Reviews & Approves
The trader reviews the recommendation in the dashboard and explicitly approves or rejects the proposed change.
4
Strategy Updated
Only after approval is the strategy configuration updated. Every change is logged with reason and date.
Ready to see it in action?