By William Brandon Autry · Portfolio snapshot: September 22, 2026 · All amounts in USD
I developed AIKON to make the trading approach I already used easier to configure, monitor, and manage.
Before AIKON, I handled much more of the configuration manually and checked the accounts more often. Today, I manage ten accounts as a coordinated portfolio, with Ask Aikon bringing assessments and recommended actions to me for confirmation. For me, the improvement is practical: less manual setup, less frequent checking, and a clearer view of what needs my attention.
My public signals document the approach over time, including its results, withdrawals, drawdowns, and evolution. Their longer histories give you a record against which to assess the consistency I value. AIKON grew out of that experience. Each signal shows one account’s experience; the combined figures show what is happening across all ten.
To understand my approach, look at each account’s results together with its share of the portfolio. A loss on a smaller account affects the total according to the dollars involved. That is why I show both the individual signals and the combined account figures here.
At the public-signal snapshot used for this article, these accounts had received $4,898.89 in deposits. I had withdrawn $3,118.58, and $4,589.28 remained in equity, including open losses.
Remaining equity plus withdrawals, less deposits, puts the accounts $2,808.97 ahead—57.34% of total deposited funds. This is a cumulative cash comparison across the accounts’ histories, not an annualized return.
At the same snapshot, open losses were $458.26, or 9.08% of the combined $5,047.54 balance. That is the current floating-loss percentage, not a claim about the portfolio’s historical maximum drawdown. These figures cover the accounts’ full histories, including my previous products. I began transitioning gradually to AIKON in mid-August 2026; in early September, it also inherited some positions opened by those products.
Where AI fits into the trading
AIKON connects AI analysis, automated trading, and a conversation with the system managing the accounts. The practical value is being able to evaluate opportunities, manage the operation, and understand what the system is doing from the same environment.
There are three places where AI contributes, depending on the functions enabled in your setup:
| AI function | What it does | Practical advantage |
| Market analysis and trade decisions | With AI trading enabled, evaluates available market information to inform trading decisions within the configured strategy. | Trading analysis can consider changing market context. |
| Position management | When AI position management is enabled, reassesses open positions and can take management actions permitted by its settings. | Analysis can continue after entry as the position and market develop. |
| Ask Aikon | Reads the operation, answers questions, and prepares changes for confirmation. In my setup, it also proactively recommends campaign interventions. | I receive explanations and recommendations that I can confirm or decline. |
The capital framework gives these capabilities defined boundaries. My Balanced 2:1 allocation and Reserve Guard use programmed calculations and permissions. AI supplies analysis and interaction; execution must still pass the applicable trading and capital checks.
Why I developed Ask Aikon—and how I use it
Previously, I relied on a percentage equity stop, configured more of the operation manually, and watched the accounts more often. I wanted the system to bring useful assessments to me as conditions changed. That is one of the reasons I developed Ask Aikon: to make ongoing management easier and reduce how often I needed to check everything myself.
In my current setup, Ask Aikon proactively informs me and recommends whether a Recovery campaign should continue, whether selected positions should close, or whether the entire campaign should be closed. I confirm or decline the recommendation. I do not have to initiate every review, and these recommended interventions require my approval. The routine Veyra and Echelon rules continue to manage trading automatically within their settings.
For me, this is a better fit than relying on a percentage threshold alone. It gives me an explanation to consider and keeps the final decision on these interventions with me. I remain willing to take losses. Ask Aikon helps inform that decision; its assessment does not guarantee that a campaign will recover.
The conversation is connected to the trading operation: its settings, positions, capital, and connected accounts. You can ask questions such as:
- “Why has this market not traded? Check what is blocking it.”
- “Review my portfolio exposure and explain what needs attention.”
- “Prepare a change for this account and explain it before I confirm.”
- “Pause new entries while existing positions continue under their management rules.”
The advantage is a direct route from a question to an explanation or a proposed action. Requested operational changes go through confirmation and validation. The same conversational interface can be accessed through a paired Telegram connection while MT5 remains running and connected.
Watch the Ask Aikon demonstration · approximately 13 minutes.
The signals show the account results. They do not isolate how much of that performance came specifically from AI. The demonstrations let you examine the AI workflow itself: analysis, ongoing reassessment when enabled, and conversational access to information and controls.
From an opportunity to a managed trade
A typical workflow with AI trading enabled looks like this:
- Evaluate the opportunity. AI analyzes the market information available to the configured trading function.
- Check permission to trade. AIKON checks account eligibility, capital permissions, and the applicable trading restrictions. A favorable analysis does not override those checks.
- Execute when eligible. A trade can open automatically under the enabled rules. Routine automated entries do not require an Ask Aikon conversation or confirmation of every trade.
- Manage the position. Configured exits and management functions govern the trade. If AI position management is enabled, it can reassess the position within its permitted scope.
- Review or change the operation. I can use Ask Aikon to investigate a decision, inspect exposure, or prepare a change for confirmation.
This is an example of the supported workflow, not a claim that every historical trade in my signals followed the same configuration. The records span earlier products, the transition to AIKON, and subsequent operation.
How my Master/Node setup manages exposure
My ten accounts participate in a coordinated fleet. A trading opportunity does not automatically mean ten identical entries. The Master coordinates the connected nodes, which share analysis and account state. An eligible fleet member can perform the shared AI analysis; that job is not permanently restricted to the Master.
Before a new campaign—a position or managed basket—begins, the fleet checks where it can be placed:
- Account readiness and capacity. A node needs permission to trade the market, available capacity, and the required connection and policy state.
- Existing workload. Deployment generally favors idle eligible accounts ahead of accounts already carrying campaigns, especially those carrying Recovery additions. Directional exposure, remaining allowance, and recent participation also help rank the candidates.
- Fleet participation limits. Limits govern how many accounts can join an opportunity and how many distinct markets can be active. More than one eligible account may participate. New entries reserve their place before execution so simultaneous requests can be counted together.
- Shared currency exposure. When enabled, the directional-currency guard checks whether a proposed campaign would exceed its configured net concentration limit.
For example, buying EURUSD and buying GBPUSD both create short-USD exposure. Different pair names do not make those positions independent. The currency guard recognizes that common direction and can refuse another campaign that would exceed its limit. This particular limit counts directional campaign participation; it is not a dollar-loss ceiling or a full statistical correlation model.
AI helps evaluate the opportunity; the fleet’s programmed rules determine where it is eligible to trade. Each account also retains its own capital and trading checks. This coordination gives practical meaning to the portfolio view, while each individual signal still shows the pressure on its own account. Cash and margin remain separate between accounts.
Why I use Veyra Recovery and Echelon
I prefer Recovery because I enjoy managing it and value the consistency I have experienced with my approach. Single Entry is a valid choice, and AIKON supports it. My preference is for a process that lets me manage positions through several stages, review the exposure, and decide when continuing or taking a loss makes sense.
Veyra gives my Recovery entries a defined progression. It uses Fibonacci-based distances tied to a daily-range reference that stays fixed during the campaign. The required gaps widen at deeper levels. Each addition must reach its calculated distance and pass the applicable capital, margin, drawdown, and entry checks. These are programmed entry conditions; a fresh AI approval is not required for every addition. A fast market can still cross the distances quickly.
Echelon allows selected positions to exit while others remain under management. Its selective exit logic can close an older and a newer position when their combined result meets the calculated target. A profitable position can offset a losing one in that exit. The whole campaign does not have to finish at once.
This gives me flexibility to capture profits and reduce open volume in stages while continuing to manage the remaining positions. Eligible accounts can also participate in new opportunities under the fleet’s controls. Closing a profitable pair does not necessarily make the remaining floating-loss figure smaller, so I assess realized profit, remaining exposure, and total equity together.
My current Recovery settings are a maximum of five open positions per symbol and Max DD per symbol at 25%. Once a symbol’s calculated drawdown exceeds 25% of its applicable risk-capital basis, further Recovery additions are paused. This is an addition threshold, not an instruction to close every position at a 25% loss. Existing exposure remains under management.
New campaigns and additions to existing campaigns have separate checks. My fleet controls govern participation across accounts, while each Recovery campaign remains subject to its own limits. Adding positions increases exposure, which is why account allocation, selective exits, and ongoing review all matter to my process.
My portfolio, in actual dollars
I look at closed results together with open exposure and money already withdrawn. A growing balance alone does not tell the whole story.
| Ten public accounts combined | Amount |
| Total deposits, including initial funding | $4,898.89 |
| Total withdrawals | $3,118.58 |
| Closed profit reported by the signals | $3,267.23 |
| Combined balance | $5,047.54 |
| Open floating P/L, calculated as equity minus balance | −$458.26 |
| Combined equity | $4,589.28 |
| Equity + withdrawals − deposits | +$2,808.97 |
The account records reconcile: $4,898.89 deposited + $3,267.23 closed profit − $3,118.58 withdrawn = $5,047.54 balance.
Withdrawals are cash flows, not additional profit to add to closed trading profit. The equity calculation above includes the open losses at the time of the check. Separate software, AI-provider, and hosting costs are not deducted from these account figures.
What one account’s drawdown means for the portfolio
It is reasonable to inspect every signal. The next question is: how much of the combined capital does this account represent, and how many dollars is it losing?
For example, at this snapshot, Portfolio 7 had a $451.28 balance and $80.28 in open losses. That is 17.79% of that account’s balance. The same $80.28 contributes 1.59 percentage points to the whole portfolio’s 9.08% current floating loss.
The loss matters at both levels. The account percentage describes pressure on that account; the portfolio contribution describes its share of the combined loss. Other accounts’ contributions must also be included.
Why I divide the capital between accounts
Each account contains only a portion of my trading capital. AIKON coordinates the accounts, but their cash and margin remain separate. A campaign on one account does not automatically have access to the funds held in the others.
Here is a stress test using my actual September 22 account snapshot. I start with the combined $4,589.28 equity, which already includes open losses. The examples use the three largest accounts by remaining equity: Portfolio 2 ($538.10), Portfolio 5 ($531.19), and Portfolio 4 ($520.27).
What would further losses on these accounts mean for the whole portfolio?
| Hypothetical scenario | Additional loss | Loss / snapshot portfolio equity | Equity remaining |
| Portfolio 2 equity falls to zero | $538.10 | 11.73% | $4,051.18 |
| Portfolios 2, 5 equity falls to zero | $1,069.29 | 23.30% | $3,519.99 |
| Portfolios 2, 5, 4 equity falls to zero | $1,589.56 | 34.64% | $2,999.72 |
| Portfolios 2, 5, 4 each lose 25% of snapshot equity | $397.39 | 8.66% | $4,191.89 |
These are hypothetical additional losses from the dated snapshot, not forecasts or historical maximum drawdowns. Other accounts remain unchanged; no funds are added or transferred. Full-account-loss scenarios assume equity stops at zero and broker arrangements prevent liabilities from reaching other funds. Previously withdrawn money is outside this remaining-equity calculation. Figures are rounded.
Even the largest account represents only a portion of the portfolio. Losing its entire remaining equity would reduce the combined equity by 11.73%; losing the three largest would reduce it by 34.64%. Which accounts lose matters because their allocations differ.
The partial-loss example shows the same principle without assuming complete account losses: a further 25% reduction in each of those three accounts’ equity would reduce combined equity by 8.66%. This illustration is separate from my 25% symbol-DD setting, which pauses Recovery additions and does not impose a 25% account-loss stop.
This is the account-level containment I mean when discussing my method. It does not make an account loss acceptable or prevent simultaneous losses elsewhere. I use the allocation, fleet exposure controls, and Ask Aikon’s assessments together to review risk before it reaches these scenarios.
All ten signals, with their portfolio impact
Each account name links to its public MQL5 record. The table uses the same September 22 snapshot throughout. The final column divides each account’s open loss by the combined $5,047.54 balance.
| Account | Balance | Open loss | Loss / account balance | Contribution to portfolio loss |
| Portfolio 1 | $533.51 | $80.37 | 15.06% | 1.59 pp |
| Portfolio 2 | $562.87 | $24.77 | 4.40% | 0.49 pp |
| Portfolio 3 | $548.60 | $54.85 | 10.00% | 1.09 pp |
| Portfolio 4 | $521.26 | $0.99 | 0.19% | 0.02 pp |
| Portfolio 5 | $561.85 | $30.66 | 5.46% | 0.61 pp |
| Portfolio 6 | $578.50 | $95.17 | 16.45% | 1.89 pp |
| Portfolio 7 | $451.28 | $80.28 | 17.79% | 1.59 pp |
| Portfolio 8 | $352.75 | $0.00 | 0.00% | 0.00 pp |
| Portfolio 9 | $421.70 | $88.09 | 20.89% | 1.75 pp |
| Portfolio 10 | $515.22 | $3.08 | 0.60% | 0.06 pp |
| Combined | $5,047.54 | $458.26 | — | 9.08% |
“pp” means percentage points contributed to the combined current floating-loss percentage. Figures are rounded. These are current floating losses, not the historical maximum drawdowns displayed on the signal pages.
Historical account drawdowns remain relevant. They tell you what each account has experienced. They cannot simply be added or averaged to establish the portfolio’s historical maximum: the largest losses may have occurred on different dates, with different capital allocations. A reliable historical portfolio drawdown requires an aligned combined equity history with deposits and withdrawals accounted for.
Several accounts can also lose together. The combined figures include those losses; splitting capital across ten accounts alone does not establish diversification. My reason for showing both views is to make the total exposure and each account’s contribution visible.
The track record behind AIKON
The age of these signals matters to me because readers can inspect the approach over a longer period, including the difficult periods and losses. Their histories show the experience that informed AIKON’s development.
I began gradually transitioning this portfolio to AIKON in mid-August 2026, ahead of its public MQL5 Market release on September 5, 2026. In early September, AIKON also took over some positions opened by my previous products. A position closing after the transition does not necessarily mean AIKON opened it, and the full historical profits are not attributable exclusively to AIKON.
What AIKON has improved for me is the day-to-day operation of this approach. Configuration, account coordination, monitoring, and the review of possible interventions are easier to manage. The signals document the account results over time; the demonstrations show how AIKON helps me run the operation today.
How I organize the capital
My current setup uses Protected Capital, Balanced 2:1, Fleet Sync ON, and Reserve Guard set to Block New with a 5% buffer. Recovery is in use in this portfolio; the screenshot shows ten Recovery baskets and 38 open positions.
Balanced 2:1 allocates two-thirds of each account’s active capital basis to working capital and one-third to reserve. It does not simply divide the entire current balance every time a trade closes.
In my September 22 dashboard snapshot, the allocation was:
- $2,950.19 working capital.
- $1,475.10 protected reserve.
- $622.25 balance above the active allocation, displayed as harvestable profit.
Together, these reconcile to the $5,047.54 combined balance. Automatic compounding is disabled in this build, so additional profit does not automatically expand the authorized operating allocation.
Fleet Sync lets the connected accounts follow the same capital policy while calculating their own dollar allocations. The accounts remain separate: cash held in one account does not automatically fund another account’s open positions. Multiple accounts also do not remove the possibility of correlated losses.
What the reserve setting actually does
The 5% Reserve Guard buffer is calculated above each account’s protected reserve: reserve plus 5% of authorized working capital. With my selected Block New action, reaching that boundary blocks new campaigns. Existing positions continue to be managed, and Recovery additions may remain eligible under the other controls.
Protected capital remains inside the broker account. This allocation is not a withdrawal, and the Block New setting is not an automatic close-all stop or a guarantee that losses cannot reach the reserve.
That distinction also applies to the dashboard’s position-SL count: it reports individual broker-side stop coverage, not the full set of account or basket controls. I want readers to understand the actual mechanism when evaluating this setup.
Why I look at both portfolio and operating figures
The earlier dashboard screenshot shows $4,596.15 equity against $5,047.54 balance, with $451.39 in open losses. It also shows $2,819.63 operating equity against $2,950.19 operating balance, producing a 4.43% operating shortfall.
Those are different measurements. AIKON calculates operating equity account by account after reserving capital and applying the working-capital ceiling. Balance above an account’s allocation can absorb some open loss before that account’s operating equity falls. The smaller operating percentage does not erase the actual floating loss.
The public-signal check above was taken separately and shows $6.87 less equity. Its deposits, withdrawals, and balance match the screenshot exactly. The performance tables in this article consistently use the public signals’ figures.
The dashboard’s 81.91% Gain is AIKON’s composite closed-trade growth calculation. It is a separate measure from simple profit divided by deposits and from the net cash comparison at the beginning of this article. Current drawdown figures also do not establish the portfolio’s historical maximum drawdown.
Setup and capital-management demonstrations
Alongside the Ask Aikon demonstration near the beginning of this article, these videos explain setup and capital management:
- AIKON — introduction and setup · approximately 6 minutes.
- AIKON Capital Management · approximately 9 minutes.
These videos were recorded earlier in September 2026. Interface details may differ from the current version.
You can begin with one account
Ten accounts are my own portfolio arrangement. AIKON can also operate on one account. Its starting profiles include Forex Single Entry with Stop Loss, Gold Single Entry with Stop Loss, and optional Forex Recovery.
A buyer can choose an approach they understand, inspect the settings, and use Ask Aikon to help explain the operation. AI features require a configured provider connection, with separate provider charges. Automated operation requires MT5 to remain running and connected.
My results are a record of these accounts, their histories, and the decisions made along the way. They are not a promised outcome for another trader. What you can examine before buying is the software’s workflow, the controls it provides, and the public records linked here.
Watch the demonstrations. Inspect the signals. See how the capital is organized. Then decide whether this approach fits the way you want to manage your own trading.
