An upcoming crypto-specific EA
Valery Trading describes Valery Trading as a system built specifically for Bitcoin and Ethereum, not an existing Forex EA adapted for crypto. The developer says its central idea is momentum: participate when price movement indicates a sustained direction, rather than trying to predict the catalyst or calculate what an asset should be worth.
The emails describe the approach as Trend Trading. In principle, a system following this style seeks to enter after a move becomes visible, exit or change direction when the trend no longer holds, cut losses, and leave room for stronger moves to continue. The developer’s “whales” analogy suggests that large participants may build positions over time and contribute to price movement. It is an explanatory metaphor, not evidence that a particular institution’s activity can be identified from price alone.
Why the developer favors momentum
The vendor’s thesis is that market information does not always reach every participant at once. Reactions can unfold gradually; rising prices may attract more buyers, while crowd behavior can reinforce an existing move. Large orders may also take time to execute. In such conditions, a trend can persist while participants respond to new information and to price itself.
This is a rationale for investigating a trend-following method, not proof that it will work on these instruments. Crypto prices can reverse sharply, trade sideways for extended periods, or move through gaps and liquidity changes. A trend system may experience repeated small losses while waiting for a larger move. Whether any larger winner offsets those losses depends on the actual entry and exit rules, position sizing, fees, slippage and market conditions.
Important details are still missing
Because the product has not been publicly released, the two emails do not provide the evidence needed to evaluate its implementation. They do not include live-account records, complete backtests, drawdown figures, trade history, settings, supported platforms, timeframes, execution requirements or specific risk controls. The developer says those details are planned for later updates.
The description that the EA is intended to trade Bitcoin and Ethereum, including long and short trends, should therefore be treated as a statement of intent. It does not explain how the system handles position sizing, leverage, stop conditions, financing costs or rapid reversals. Before considering real funds, prospective users should look for independently inspectable live results, full test data and clear operating requirements, then test cautiously in a demo environment.
What to look for in the next update
- Complete historical tests with periods, data sources, settings, fees and drawdowns clearly stated.
- Live-account records that can be checked independently, including open positions and the full trading history.
- Platform and broker requirements, including how Bitcoin and Ethereum instruments are named and priced.
- Risk controls and examples showing how the system behaves during sideways markets, sharp reversals and extended trends.
Until that information is available, Valery Trading is best viewed as a pre-release concept with a defined trading philosophy, not an assessed or proven system.
Broker and account considerations
Once the developer confirms platform and instrument compatibility, traders who choose to evaluate the EA may consider whether an account with IC fits their setup. Compare account types, platform access, spreads, commissions, execution and the broker’s crypto contract conditions before use. The broker has also introduced a deposit bonus; availability and eligibility depend on the current offer and its official terms. A bonus does not reduce trading risk or guarantee results.
Conclusion
The idea behind Valery Trading is straightforward: follow sustained movement in Bitcoin and Ethereum rather than predict what should happen next. That makes the concept understandable, but it does not establish the quality of the actual EA. The decisive assessment must wait for the promised live statistics, full backtesting data and implementation details. Until then, treat the announcement as an introduction—not a performance recommendation.
