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Automation

Trading bots are rules with a send button.

Vega Trades treats bots as software that watches, sizes, and executes — not as a substitute for a human who owns the keys, the risk, and the off switch.

Bot · 9/21 SMA cross
Sample
SMA 9SMA 21▲ buy ▼ exit Equity · long only
1 entries1 exitsSample 15.3%

What a trading bot actually is

A bot is software that watches prices, applies rules, and can place or cancel orders without sitting on the screen all day. The intelligence is in the rules — not in a black box that “knows the market.”

  • Signal: decide when a setup is valid (indicator, price level, time, or news filter).
  • Risk: size the order, set a stop, cap daily loss, and refuse to trade when data is stale.
  • Execution: send the order to a broker or exchange API, then log fills, slippage, and errors.
  • Supervision: a person still owns the account, the keys, and the off switch.

Trend-following bots

These bots assume that a move already in progress can continue. They buy strength or sell weakness after a moving average, breakout, or higher-high structure confirms.

  • Typical inputs: dual moving averages, Donchian channels, or ADX to skip choppy days.
  • Strength: they can stay with a long run and avoid guessing bottoms.
  • Weakness: they give back profit in ranges and need wide stops.

Mean-reversion and grid bots

Mean reversion bets that price returns toward an average. Grid bots ladder buy and sell orders around a range. Both shine when the tape oscillates — and suffer when a trend never looks back.

  • RSI or Bollinger bands often flag “stretched” prices.
  • Grid spacing must match volatility; too tight and fees eat the account.
  • A hard stop or hedge is required when the range breaks.

DCA, market-making, and event bots

Dollar-cost averaging bots buy on a schedule. Market-making bots quote both sides for a spread. Event bots react to listings, funding, or scheduled data — and they fail when the feed is late.

  • DCA reduces timing stress but does not remove drawdown.
  • Market making needs inventory limits and a plan for one-way markets.
  • News bots are only as good as latency, parsing, and the kill switch.

Backtest, paper, then live — with humility

A pretty equity curve on history is not a live edge. Overfit bots memorise the past. Fees, gaps, partial fills, and API outages never appear in a naive spreadsheet.

  • Walk-forward or out-of-sample tests beat a single perfect curve.
  • Paper trade the same venue you will use live.
  • Start small. Log every override. Retire a bot that cannot survive a month of real noise.