Agentify
ObservingReasoningValidatingExecuting the tape

The market never sleeps.
Neither does this.

Agentify is an autonomous trading runtime. Four AI agents research, plan, execute and criticize each other around the clock, and every dollar they touch clears five risk gates first.

simulated live session
Equity
$108,940.55
Session
+8.94%
Win rate
74%23 trades
Equity curve
[RESEARCH_NODE] Ingesting market signals for 4 symbols
[REASON_ENGINE] NVDA momentum +3.1% vs SMA(12). Building thesis
[RISK_ENGINE] 5 gates evaluated. confidence 0.74, pass
Five gates on this order
min_confidence0.74 vs 0.60 floorpass
max_trade_risk1.4% vs 2.0% cappass
max_order_notional$5.3k vs $25kpass
positive_quantity45 sharespass
max_exposure0.31 vs 0.60 cappass
[TRADE_ENGINE] Simulated BUY 45 NVDA @ 118.20 filled
[RESEARCH_NODE] AAPL quote 227.90, spread 0.04
[REASON_ENGINE] AAPL signal below threshold. Holding
agentify systems // boot sequence
000 / 100
24/7
always-on autonomy
4
specialist agents
5
risk gates per trade
100%
traceable decisions

The system

Built like a trading desk. Run by machines.

Four minds, one desk

A Planner decomposes goals, an Executor runs deterministic plans, a Critic hunts for defects, and a Strategist retunes the whole system. They never sleep and never improvise outside the rails.

Risk gates everything

Confidence, trade risk, notional caps, exposure and quantity checks run on every single order. Fail one and the trade dies on the spot.

Simulation first

Every trade fills on paper before anything real is even considered. Live execution sits behind an explicit switch.

Append-only memory

Every step, tool call and risk verdict lands in an immutable trace. Replay any decision the system ever made.

Deterministic core

Same inputs, same execution path, same trace. No dice rolls in the runtime, so behavior is testable and auditable.

You hold the reins

Type an order like a thought: Analyze NVDA. Close AAPL. The console queues intents; the runtime does the work through the same gates.

The heartbeat

One loop. No end condition.

1
Observe

Pull quotes, positions and system state.

2
Generate

Spawn and rescore tasks autonomously.

3
Execute

Run step-by-step deterministic plans.

4
Validate

Force every action through the risk layer.

5
Repeat

Persist state. Go again. Forever.

The sandbox

Run the numbers yourself.

Pick a market regime and a starting balance. The same momentum rule the engine trades with runs over a simulated price series, so you can see how the logic behaves in a rally, a drawdown, and everything between.

2024Momentum market
20202025
$

Simulated market data for illustration only. This is not historical performance, not a forecast, and not investment advice.

Final balance
$26,272.95
Strategy return
+162.7%
Buy and hold
+165.7%
trailed by +2.9%
Max drawdown
-1.2%
1 position changes

The analyst

Ask the desk anything.

The Analyst sits on top of the same state the agents trade from. Ask about your positions, why a trade fired or died at a gate, what moved the market today, or pull a one-page digest on any symbol on your watchlist. Answers cite the runtime, not vibes.

  • Portfolio answers grounded in your actual positions and traces
  • Plain-language explanations of every risk-gate verdict
  • Per-symbol digests and a markets-today brief on demand
ANALYST
grounded in runtime state
How is my portfolio positioned going into the close?
You are net long tech with 34% of equity in two names. NVDA carries most of the risk today; the momentum signal is still positive but exposure is one gate away from the cap. Nothing needs action before the close.
Why did the engine skip the TSLA entry this morning?
The plan cleared four gates and failed max_trade_risk: projected loss at the stop was 2.3% of equity against a 2% ceiling. The full trace is in the log if you want the step-by-step.

“Most trading tools wait for you to click. This one wakes up before you do, checks the tape, argues with itself, and files the paperwork.”

Research · Reasoning · Execution · Outcome

Give the machine the night shift.

Paper money, real market logic. Watch the agents work before you trust them with anything that matters.