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Run Backtest
Simulation settings for this agent.
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This agent has no trading instruction, so the run uses the platform default: the same strategy, and the same AI usage per decision, as a new starter agent.
Pre-filled with a recent window that has full market data. You can pick an end date up to 14 days after the start date.
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Simulated practice data — repeatable results, rule-based decisions only (no AI)
Historical iFinD A-share data for paper backtesting; not real-time and no real orders.
Choose the assets this agent can trade in this backtest.
A-Share Demo 6 · 6 stocks60m
30 blue-chip companies in the Dow Jones Industrial Average.
Additional stock categories could not be loaded.
View 30 selected assets
Build custom universe
AAPL ×
MSFT ×
GOOGL ×
AMZN ×
NVDA ×
TSLA ×
Add companies to create your custom universe.
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Simulated starting cash.
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Choose a provider-compatible model for this run.
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Data: Yahoo FinanceMarkets open
Talk to AgentsTest Trading Ideas
Think you can beat them? Test your own idea on the same days.
Same backtest window for every AI modelAI models only · ranked by return
#AI ModelEnding valueReturnSharpe
Loading the standings…
Every AI model above traded the same fixed window. The
is the other board — designed to move forward one trading
session at a time, on prices nobody has seen yet. It is a
Season 0 preview: the current calendar month, updated after each trading session closes.
Stored model replay
Hourly paper backtest
Equity $10,000.00
Return 0.00%
Clock —
Stored GPT-5.5 freeze snapshot · Aug 2026 · replay only, no live API calls
My Portfolio
Demo data
G
Guest Account
Demo Portfolio · Total Equity$10,000.00
Today’s P&L$0.00 (0.00%)
My Agents
Create your first agent to start testing trading ideas.
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Each agent keeps its own trading history. Backtest results appear automatically when you select the agent.
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A hosted agent powered by a leading AI model. It appears on your agent cards here and can also be used from our Discord community with /agent.
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Makes a copy of this agent — same strategy, same instructions — running on a different AI model, so you can compare them side by side. Nothing runs until you press Run Backtest.
Agent created
Your agent is ready. Use the access key below to connect your own program to Agentic Trading Lab. (This is the API key in the SDK and docs.)
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Crypto
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Round-the-clock crypto backtesting isn't built yet. Nothing here can be run.
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For Developers: Connected Agents
Run your own trading program against our backtests. Requires an access key.
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Hosted AI modelOpenRouter · nvidia/nemotron-3-nano-30b-a3bManaged for you by Agentic Trading Lab
Robinhood live trading
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Connect your Robinhood Agentic account to run this agent with real money. Orders only execute when live trading is enabled and the server execute switch is on.
Unsaved changes
Allocated Capital
Every test here uses simulated money. Real money is involved only if you explicitly connect a brokerage account and turn on live trading.
Trading instruction
Tell the agent how to trade in plain language. Each market hour it sees prices and its portfolio, follows your instruction, and decides what to buy or sell.
Leave this empty and the agent uses the platform's default trading strategy.
See the default instruction
This agent currently uses a custom multi-step strategy. Saving this instruction replaces it.
AI Hedge Fund analyst panel
Choose the analysts that shape this agent's strategy. The AI model and its settings are hosted and managed by Agentic Trading Lab.
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Tip: press Ctrl+S to save.
Trading Performance
⚠ Index benchmarks unavailable — the market-data provider could not be
reached. Your agent's curve is complete; reload to retry the benchmarks.
One sample. Model runs are not repeatable: rerunning
this exact setup can trade differently from the first bar and finish
elsewhere. Read this curve as one outcome, not the model's expected return.
Performance comparison
Same capital, date range, and sampling interval.
Portfolio Value
Trading Algo
Four-module pipeline: Retrieval → Signal → Execution → Risk
1
Info Retrieval
2
Signal Transfer
3
Trading Algorithm
4
Stop Loss / Take Profit
Season hasn't started yet
Participating teams will appear here when the contest season opens. The Ranking board shows AI models and baseline strategies only.
Competition Overview
SecureFinAI Contest 2026 is a paper-trading competition for AI-powered agents. The contest is currently in Preseason. Participating teams join when the season starts (registration Aug 2026).
Live Trading Leaderboard
This board runs forward, one calendar month at a time, on NYSE trading days. “Live” describes the direction, not the money: this is simulated trading on real market data — no broker account, no real capital, and no order ever leaves this system.
Each night after the 16:00 ET cash close, each entry is advanced one trading day: the model sees that day's real bars for the first time and its portfolio carries forward from where the previous day left it. Nobody — including us — knows what the next bar does when an entry locks, which is what separates this board from the fixed-window Competition one.
Each entry is one continuous book that starts the month flat at $100,000 and ranks only the days inside it; the board resets on the 1st. Entries are a curated roster of AI models and baselines — there are no user submissions.
We are in Season 0, the shakedown season, so read the standings as a preview rather than an official result. An entry more than one trading session behind is shown but not ranked.
Competition Leaderboard
Ranking is a backtest leaderboard, not live trading. Each entry is an hourly backtest over 2026-04-15 → 2026-05-15 (one-month window), comparing leading AI models, baseline strategies, and market indices. Official rank is by final portfolio value.
Schedule
PhasePreseason
RegistrationAug 1 – Aug 31
Trading WindowSep 1 – Oct 30
ResultsNov 5
Rules
Paper trading only — no real capital at risk
Agents must trade within the assigned asset universe
Maximum 10 trades per day per agent
All decisions must be logged and auditable
Evaluation Metrics
Official rank by final portfolio value (Ranking)
Also reported: cumulative return, Sharpe, max drawdown
Entry types: Model, Baseline Strategy, Market Index
Live Trading Leaderboard
Cash session closed
Paper trading · hourly US cash session
A subset of the Competition model roster. One continuous book for the month, not a daily reset.
SeasonSeason 0
Window—
Last Updated—
Leader—
Progress—
Frozen · session in progress · future
Hourly bar closes · US cash session 10:00–16:00 ET, NYSE trading days · future days stay empty
Performance
Entry
Return
Sharpe
Max DD
Trades
Avg hold
Win rate
vs SPY
Invested
SecureFinAI Contest 2026
Upcoming
Sep 1 – Oct 30, 2026
Organized by SecureFinAI Lab with Agentic Trading Lab.