WHILE25
An AI-native agentic workflow for traders.
NATIVE PYTHON SDK
Strategies, indicators and monitors, all in Python. Your indicators show up in the same picker as the built-in ones, with the same config dialog. No install, no keys, no separate stack.
AI EVERYWHERE
The agent reads your workspace, runs the query, and builds the panel. Going live takes your confirmation, and the orders come from your strategy's rules.
you › is BTC bottoming? give me a verdict, the key levels, and the chart
BACKTESTING
Real fills, slippage and fees. A losing strategy shows up as a loss.
TOTAL RETURN
−5.4278%
CAGR
−0.39%
MAX DRAWDOWN
−5.7%
SHARPE
−10.75
WIN RATE
32.2%
PROFIT FACTOR
0.37
PROFESSIONAL EXECUTION
PAPER AND LIVE NEVER SHARE A PATH
The engine enforces the routing separation. A paper order has no route to a live venue.
A BACKTEST REFUSES TO INVENT BARS
Ask for a window the cache does not hold and the backtest fails, and tells you the range it does have. It never substitutes other bars to fill the gap.
YOUR STRATEGY RUNS ON YOUR MATHEMATICS
Once you deploy, orders come from your rules, the same way every time. Nothing rewrites them mid-session.
PLATFORM CAPABILITIES · CHARTING
Trend, momentum, volatility, volume and structure ship with the terminal. When the library does not have what you want, write it in Python and it lands in the same picker, with the same config dialog. We built the charting engine, so your code runs as a real study.
MARKET COVERAGE
US equities · ETFs · indices · crypto · forex · live today · global markets rolling on
FUNDAMENTALS
Forty-two line items on one tear-sheet: statements, ratios, growth, valuation, ownership, technicals. Point the agent at any of it.
GENERATED REPORTS
WHAT WE DON'T HAVE YET
Today the AI writes the strategy, backtests it, deploys it, and watches it for you. Adjusting a running strategy on its own comes next. Until then, your rules run the same way every time.