A working map of algorithmic trading territory

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Territory one: the four strategy families Grid engines, mapped Ladders and safety orders Statistical pullback entries Breakouts from marked levels Configurations worth waypointing Where these systems sink

Territory one: the four strategy families

The automation landscape splits into regions anyone can learn to read: trend-continuation, statistical pullback, relative-value spreads, and market-making. This atlas charts the two regions where most deployed retail bots actually live. Within them, four patterns cover nearly every running system: interval grids, averaging ladders, oscillator pullbacks, and range breakouts.

Territory	Founding assumption	Seen win rates	Leading hazard
Interval grid	Price trades back and forth across a range	sixty to seventy-five percent	Inventory piles up when trends run
Averaging ladder	The average entry gets recovered	Scales with ladder depth	The asset never returns
Oscillator pullback	Extended readings contract	fifty-five to sixty-five percent	Trends turn extension permanent
Range breakout	Momentum survives a level crossing	thirty-five to forty-five percent	False crossings and traps

Grid engines, mapped

A grid engine keeps matching limit orders strung on both sides of an anchor price. One side fills; the engine instantly re-posts on the opposite side one interval away. The profit is the interval, nothing else.

Three coordinates fix any grid: interval width (percent- or volatility-based), level count (bounding maximum inventory), and the inventory ceiling (bounding worst-case exposure).

Waypoint configuration

grid:
  spacing_mode: atr          # fixed, percent, or atr
  spacing_value: 0.5         # percent, or ATR multiplier
  levels_above: 6
  levels_below: 6
  order_size: 0.5 percent    # of portfolio per level
  inventory_cap: 8           # max one-sided levels
  stop_loss: 12 percent      # emergency exit

Ladders and safety orders

Ladder engines open a base entry and schedule follow-up buys at set distances below it. Later steps typically scale up in size — the safety-order pattern — which pulls the average entry down fast. Profit targets reference the averaged price, never the first fill.

Double-sizing each safety order makes the fourth step sixteen times the base. Margin demand compounds while each step buys less improvement. Chart the ladder arithmetic before deployment.

Statistical pullback entries

Pullback engines measure distance from a mean — via RSI, z-score, or band width — and trade against the extension, exiting near the mean. They thrive in ranging markets with steady volatility.

They sink when regime change re-anchors the mean. Trend and volatility filters deserve a place beside the entry rule, in the same configuration file.

Breakouts from marked levels

Breakout engines cross a marked line — prior extreme, trendline, volatility band — with confirmation: a close beyond the level, or a volume condition. Exits trail or target; they do not wait for reversals.

Configurations worth waypointing

Each territory has a canonical configuration shape. Templates keep backtests reproducible and parameters auditable.

shared_base:
  risk:
    max_portfolio_risk: 2 percent
    max_drawdown_stop: 15 percent
    max_concurrent_positions: 3
  execution:
    order_type: limit
    post_only: true
    time_in_force: gtc
  monitoring:
    heartbeat_interval: 60s
    report_interval: 1h

Where these systems sink

Four reefs sink most automated strategies: regime shifts the entry logic cannot perceive, parameters tuned into fragility, infrastructure failing at the worst moment, and inventory that cannot be unwound. Every chart page in this atlas ends with its wreck record for that reason.

Open the master index for mapped notes on indicators, engines, and operations.