AI Traders

Learning objectives

After reading this page you will understand:

• What pm-ai-trader and pm-ai-swarm are and when to use them
• The four personality profiles and how they differ
• How to launch a single bot or a swarm of bots
• How bots manage risk (position limits, reject breaker)
• How to configure your engine to allow AI gateway IDs
• How to set up a realistic classroom simulation

Prerequisites: Running the Engine — the engine must be running before AI traders can connect. Configuration — AI traders connect as regular gateways; their IDs must be listed in engine_config.yaml (or the engine must be in unrestricted mode).

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What are the AI trader processes?

EduMatcher ships two processes that generate autonomous order flow:

Process	Command	Purpose
pm-ai-trader	poetry run pm-ai-trader	A single autonomous bot — connects as a gateway, watches the book, submits limit orders
pm-ai-swarm	poetry run pm-ai-swarm	A swarm launcher — spawns N bots in one command, distributes profiles and symbols across them

They are designed to simulate realistic human order behaviour so that a classroom exchange has live activity even when students are not yet trading. Each bot behaves differently — some trade frequently in small sizes, others occasionally in large blocks — giving the order book variety and depth.

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How a bot works

Each bot is a fully independent participant. It connects to the engine via ZeroMQ, authenticates as a gateway, requests the symbol list, then enters a decision loop:

flowchart TD
    CONN[Connect to engine\nPUSH :5555 / SUB :5556]
    AUTH[Send gateway_connect\nwait for gateway_auth ack]
    SYM[Request symbol list\nwait for system.symbols]
    LOOP{Decision loop\nevery decision_interval_ms}
    PAUSE{Risk pause\nactive?}
    STALE{Market data\nfresh?}
    PICK[Pick a symbol\ncheck position limit]
    PRICE[Calculate order price\nbest_bid / best_ask ± offset]
    SIDE[Choose side\ncross_probability → BUY or SELL]
    SUBMIT[Submit LIMIT DAY order]
    EVENTS[Handle events\nfill, ack, reject, book, trade]
    REJECT{Reject count\n≥ max_rejects\nin window?}
    BREAKER[Reject breaker trips\npause for cooldown_sec]

    CONN --> AUTH --> SYM --> LOOP
    LOOP --> PAUSE
    PAUSE -->|yes, wait| LOOP
    PAUSE -->|no| STALE
    STALE -->|stale or no data| LOOP
    STALE -->|fresh| PICK
    PICK --> PRICE --> SIDE --> SUBMIT
    SUBMIT --> EVENTS
    EVENTS --> REJECT
    REJECT -->|yes| BREAKER --> LOOP
    REJECT -->|no| LOOP

All orders are LIMIT DAY orders at prices derived from the current book. AI traders never submit market orders, FOK, or IOC — only resting limit orders that contribute to book depth.

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Personality profiles

A profile controls how the bot trades: how often, how large, and how aggressively it crosses the spread. The four built-in profiles are:

Profile	Decision interval	Order size	Cross probability	Offset	Size distribution	Character
aggressive	250 ms	20–120	35%	0 ticks	balanced	Frequent trader; crosses the spread often; medium sizes
cautious	900 ms	10–60	5%	2 ticks away	balanced	Slow, patient; rarely crosses; small passive orders
many-small	180 ms	1–25	18%	1 tick away	small-heavy	High-frequency tiny orders; generates many executions
few-large	1400 ms	150–700	12%	1 tick away	block-heavy	Infrequent institutional-style block orders

cross_probability is the probability that the bot places a marketable limit order (price ≥ best ask for a buy, price \(\leq\) best bid for a sell) rather than a passive limit order beyond the spread.

passive_offset_ticks is how many ticks inside the spread the passive order is placed. Offset = 0 means posting at the best bid/ask; offset = 2 means posting 2 ticks behind the best price.

Size distributions

flowchart LR
    A["balanced\n(uniform random between min and max)"]
    B["small-heavy\n(quadratic — skews toward min)"]
    C["block-heavy\n(quadratic — skews toward max)"]

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Risk management

Each bot has two built-in safety mechanisms:

Position limit

The bot tracks its own position per symbol (net quantity of shares held). Once |position| reaches max_position (default: 1000), it stops adding to the position in that direction. A long bot that is at +1000 will only submit sell orders; a short bot at −1000 will only submit buy orders.

Reject breaker

If the engine rejects max_rejects orders within reject_window_sec, the bot pauses for reject_cooldown_sec before submitting again. This prevents a misconfigured bot from flooding the engine with invalid orders.

[AI:AI01 14:30:05] reject breaker tripped; pausing submissions for 5.0s

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Launching a single bot

poetry run pm-ai-trader --id AI01 --profile aggressive

Common options:

Option	Default	Description
--id	required	Gateway ID — must match an entry in engine_config.yaml or engine must be unrestricted
--profile	cautious	One of: aggressive, cautious, many-small, few-large
--symbols	all	Comma-separated list of symbols this bot watches; default is all symbols from engine
--seed	1	Random seed — same seed produces identical order sequence (useful for reproducibility)
--duration	0 (forever)	Stop automatically after this many seconds
--max-position	1000	Absolute position limit per symbol
--max-rejects	25	Reject breaker threshold within the window
--reject-window	10.0	Rolling window in seconds for reject counting
--reject-cooldown	5.0	Pause duration in seconds after reject breaker trips
--stale-data	4.0	Seconds before market data is considered too old to trade on

Example with all options:

poetry run pm-ai-trader \
  --id AI01 \
  --profile many-small \
  --symbols AAPL,MSFT \
  --seed 42 \
  --duration 120 \
  --max-position 500

The bot prints a summary on exit:

[AI:AI01 14:32:01] stopped submitted=284 acked=281 rejected=3 fills=68

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Launching a swarm

pm-ai-swarm starts N bots simultaneously, distributing profiles and symbols round-robin:

poetry run pm-ai-swarm --count 10 --duration 60

The swarm assigns gateway IDs AI01 through AI10 automatically and cycles through all four profiles.

Swarm options

Option	Default	Description
--count	10	Number of bots to launch
--prefix	AI	Gateway ID prefix (e.g. BOT → BOT01, BOT02, …)
--start-index	1	Starting index for gateway IDs
--profiles	all	Comma-separated profile cycle, e.g. aggressive,cautious
--symbols	all from config	Comma-separated symbols to trade
--config	engine_config.yaml	Path to config file used to discover symbols
--seed-base	1000	Seeds are seed_base + i for bot i
--duration	60.0	Seconds each bot runs; 0 = run until Ctrl-C
--max-position	1000	Position limit per bot per symbol
--python	current Python	Path to Python executable

flowchart LR
    SWARM["pm-ai-swarm\n--count 4"]
    BOT1["AI01\nprofile=aggressive\nsymbol=AAPL"]
    BOT2["AI02\nprofile=cautious\nsymbol=MSFT"]
    BOT3["AI03\nprofile=many-small\nsymbol=AAPL"]
    BOT4["AI04\nprofile=few-large\nsymbol=MSFT"]
    ENG["pm-engine"]

    SWARM --> BOT1 & BOT2 & BOT3 & BOT4
    BOT1 & BOT2 & BOT3 & BOT4 --> ENG

The swarm waits for all bots to finish (or until Ctrl-C), then exits. Each bot's output is interleaved in the terminal.

Graceful shutdown

Pressing Ctrl-C sends SIGINT to the swarm process, which forwards it to all child bots. Each bot cancels pending orders, prints its summary line, and disconnects cleanly. A second Ctrl-C force-kills immediately.

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Configuring gateway IDs

Unrestricted mode (no config file)

If you start the engine with no engine_config.yaml, any gateway ID can connect and trade any symbol. This is the easiest way to test:

poetry run pm-engine               # unrestricted
poetry run pm-ai-swarm --count 5

With a config file

Add the bot gateway IDs to the gateways: section. AI traders are ordinary TRADER participants:

symbols:
  AAPL:
    tick_decimals: 2
  MSFT:
    tick_decimals: 2

gateways:
  alf:
    - id: AI01
      description: AI bot 1
    - id: AI02
      description: AI bot 2
    - id: AI03
      description: AI bot 3
    # ... as many as --count
    - id: ST01
      description: Student 1
    - id: ST02
      description: Student 2

Using a range pattern

If you use the swarm default prefix AI and --count 10, the IDs will be AI01 through AI10. Add all ten to your config. With --start-index 1 (default) and --prefix AI the IDs are zero-padded to two digits.

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Classroom demo setup

A typical classroom simulation uses a swarm of bots to provide realistic background order flow while students trade alongside them. The bots generate price discovery, spread variation, and occasional large moves that students must react to.

Recommended setup

# engine_config.yaml
sessions_enabled: true   # run opening and closing auctions

symbols:
  AAPL:
    tick_decimals: 2
    last_buy_price: 149.90
    last_sell_price: 150.10
  MSFT:
    tick_decimals: 2
    last_buy_price: 415.00
    last_sell_price: 415.50
  TSLA:
    tick_decimals: 2
    last_buy_price: 250.00
    last_sell_price: 250.50

gateways:
  alf:
    # Instructor / operator
    - id: OPS01
      description: Operator console
      role: ADMIN

    # Market maker (optional, adds liquidity)
    - id: MM01
      description: Market maker
      role: MARKET_MAKER
      quote_refresh_policy: INACTIVATE_ON_ANY_FILL
      enforce_mm_obligation: true
      mm_max_spread_ticks: 20
      mm_min_qty: 100

    # AI bots (30 bots, IDs AI01–AI30)
    - id: AI01
      description: AI bot 1
    - id: AI02
      description: AI bot 2
    # ... repeat through AI30

    # Students (adjust count for your class size)
    - id: ST01
      description: Student 1
    - id: ST02
      description: Student 2
    # ...

Launch sequence

# Terminal 1: matching engine
poetry run pm-engine

# Terminal 2: session scheduler (opens at 09:30, closes at 16:00)
poetry run pm-scheduler

# Terminal 3: clearing and stats
poetry run pm-clearing &
poetry run pm-stats &

# Terminal 4: AI swarm (30 bots, all 4 profiles, run for 30 minutes)
poetry run pm-ai-swarm \
  --count 30 \
  --duration 1800 \
  --profiles aggressive,cautious,many-small,few-large

# Students connect individually
poetry run pm-alf-console --id ST01

For a quick demo without scheduling, use the launch script:

./tools/launch_all.sh

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Understanding bot output

Each bot prefixes every log line with its gateway ID and time:

[AI:AI01 14:30:00] authenticated
[AI:AI01 14:30:00] received 3 symbols: AAPL, MSFT, TSLA
[AI:AI01 14:30:00] trading AAPL
[AI:AI01 14:30:00] trading MSFT
[AI:AI01 14:30:00] trading TSLA
[AI:AI01 14:30:01] submitted BUY AAPL 45@149.97
[AI:AI01 14:30:01] reject breaker tripped; pausing submissions for 5.0s
[AI:AI01 14:31:59] stopped submitted=312 acked=308 rejected=4 fills=72

The rejected count typically reflects orders at prices outside the collar or submitted during a halt; a count of 3–5 per 300 submissions is normal. If the count is very high, check that the bot's gateway IDs are configured in the engine.

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See also

• Market-Maker Bot (pm-mm-bot) — autonomous market-maker process; complements AI traders by providing liquidity
• Running the Engine — startup order and launch scripts
• Configuration — how to register gateway IDs and symbols
• Order Types — AI bots submit LIMIT DAY orders only
• Risk Controls — price collars and halts that affect bot activity
• Processes — where pm-ai-trader and pm-ai-swarm fit in the architecture
• Getting Started — quick walkthrough including a swarm demo