We split trading into two parts from the start. One half decides where to enter — strategy, filters, the entry point. The other decides how to open and exit — margin, averaging, stops, and risk limits. AI is only the executor; the strategy is ours.
Where to enter — and how to open and exit.
Three run in the background for reference points, two for the entry point. AI doesn't decide or adjust anything on its own — it's only an executor.
30% of the deposit is always in reserve. Entry 0.35%, averaging ×4 then ×2, max 5 positions, with a hard 30% drawdown cap.
Short targets — 0.3–5% by timeframe. The trailing stop quickly moves into profit, so a position almost cannot close in the red.
References, confirmations, filters — never forecasts.
We don't try to guess what will happen. We wait until the market itself confirms the reaction — and take the short, guaranteed part. The strategy is conservative on risk and active in the number of trades.
A fresh reference point is ready before any entry is considered.
On a restart or new machine it runs our entire strategy across all coins from the past year up to now. The output is an up-to-date reference point for every coin — then it has done its job.
Continuously runs the parallel strategy on every coin and updates the reference points — built from Fibonacci retracements, candles, Fibonacci pivots, divergences, and local maxima/minima.
The entry itself uses many filters, but references must update without them — only volume, RSI, Ichimoku, and Bollinger. This keeps the reference point accurate and undistorted.
We trade on market reactions, so extreme highs and lows are critical benchmarks — it's from them that we look for the next entry point.
The reference exists — now confirm the zone and find the level.
The first simulation answers: are we currently in a zone where we can open at all?
The second simulation finds the exact level to enter on. Our entries are always at levels, never at market.
If any of the five steps lacks confirmation, no entry happens. The bot doesn't guess — it waits until the entire chain aligns.
We work with 70%; the reserve never participates.
For each entry we use 0.5% of working margin. Since working margin is 70% of the deposit, the actual entry volume is 0.35% of the client's total deposit.
If the market gives a better point, we add to the position — averaging by level, not from panic.
A position that has passed both averagings occupies at most about 3% of the deposit — the ceiling for a single trade's size.
Two independent limiters, both computed automatically.
The bot won't take more than five open trades at once — even if the strategy keeps firing signals.
If all open positions combined reach minus 30% of the deposit, they all close automatically — the client can't physically go beyond it.
Once a position's stop-loss is moved into profit, the bot knows it will close in the positive zone either way, so it counts as "already completed" for the limit.
Example: 5 of 5 open, with 3 stop-losses already in profit. The bot allows 3 more — temporarily up to 8 — because the green ones won't stay long.
Quickly green, then it trails price — almost never closes red.
Values shown are illustrative. Actual parameters are set in configuration and may differ.
In a heavily manipulated market — aggressive wicks, a large gap between trigger and market price — such a position can close at a small loss. These cases are rare and don't break the overall strategy profile.
Take-profit scales with the entry timeframe.
The analysis runs on even more timeframes at the same time, giving multi-level confirmation.
On the shortest timeframes.
Hourly and around it.
On daily and weekly positions.
Why: we catch the reaction, not the entire move. On minutes the reaction is small, so we take 0.3%; on weekly the reversal is bigger, so up to 5%. Sometimes the price runs another +10% after our take — that's fine. Our job is the guaranteed piece, not the maximum.
The whole model at a glance.
Five simulations that check each other. Until reference → zone → filters → macro → level all converge, the bot doesn't enter.
A strict risk model: 30% always in reserve, max 3% per trade, max 5 positions, total drawdown cut at 30%. Targets short and guaranteed; the stop-loss moves into profit fast.
This describes the general architecture and operating logic of the trading bot, not every strategy or parameter. AI-generated analysis and signals are informational tools, not investment advice. Models can be wrong and market conditions change. Trading involves substantial risk and the potential loss of capital.