Meet FoxTrader: Our AI Trading Experiment

Everyone talks about AI trading. We decided to actually do it — and show you everything.

FoxTrader is our AI-powered swing trading system. We built it, funded it with real money, and we're documenting every trade, every win, and every loss publicly. No cherry-picked results. No "backtested on historical data" disclaimers. Just a real AI system making real trade decisions with real dollars on the line.

This page explains what FoxTrader is, how it works under the hood, and what rules we follow.

What Is FoxTrader?

FoxTrader is an AI swing trading assistant built by the FinanceFox team. It's not a black-box trading bot that runs autonomously — it's a systematic research and analysis system that:

Scans the entire stock market daily for swing trading setups
Computes technical indicators and scores potential trades
Generates specific trade ideas with entry prices, stop-losses, and profit targets
Structures trades as bracket orders for automatic execution

A human (our team) reviews each trade before execution, but the analysis, scanning, and trade structuring is done entirely by the AI. We're the oversight layer, not the decision engine.

Why We Built It

There's no shortage of AI trading claims online. "My bot makes $5,000 a day." "This algorithm has a 94% win rate." You've seen the ads. We've seen them too, and we're skeptical of most of them.

We wanted to answer a simple question: can you actually build a profitable AI trading system as a retail trader, starting with a modest amount of money?

Instead of theorizing, we built one. And instead of only showing the wins, we're showing everything — including the inevitable losses and lessons learned along the way.

How FoxTrader Works: The Technical Details

Step 1: Market Scanning

Every trading day, FoxTrader scans a universe of stocks looking for specific swing trading setups. The scanner filters for:

Liquidity — minimum average daily volume to ensure easy entry and exit
Price range — stocks in a tradeable range for our account size
Volatility — enough movement to generate swing trading opportunities, but not so volatile that stops get blown out randomly
Trend context — preference for stocks in established uptrends or showing early reversal signals

The scanner reduces thousands of stocks down to a manageable watchlist of 10-30 candidates each day.

Step 2: Technical Indicator Analysis

For each candidate stock, FoxTrader computes a battery of technical indicators:

RSI (Relative Strength Index) — identifies overbought and oversold conditions. FoxTrader looks for RSI divergences and extreme readings.
MACD (Moving Average Convergence Divergence) — tracks momentum shifts and potential trend changes. Signal line crossovers are weighted in the scoring.
VWAP (Volume Weighted Average Price) — the institutional benchmark price. FoxTrader considers whether a stock is trading above or below VWAP for intraday context.
Moving averages — 20, 50, and 200-day moving averages for trend identification and dynamic support/resistance levels.
Volume analysis — comparing current volume to averages to identify accumulation, distribution, or volume-confirmed breakouts.
ATR (Average True Range) — used to set appropriately sized stop-losses based on each stock's natural volatility.

Each indicator contributes to an overall trade score that ranks setups from strongest to weakest. FoxTrader doesn't trade every signal — it prioritizes the highest-conviction setups where multiple indicators align.

Step 3: Trade Structuring with Bracket Orders

When FoxTrader identifies a high-scoring setup, it generates a complete trade plan:

Entry price — the specific price or condition to enter the trade
Stop-loss — a predefined exit point to limit losses, typically set based on ATR or key support levels
Profit target — a predefined exit point to take gains, usually at a minimum 2:1 reward-to-risk ratio

These three components form a bracket order — a type of order that automatically sets both the stop-loss and profit target when the entry is filled. This means once a trade is entered, the exits are managed automatically by the broker. No need to watch the screen all day.

Why bracket orders matter:

They enforce discipline — your stops and targets are set before emotion enters the picture
They define risk precisely — you know your maximum loss before entering
They allow "set and forget" trading — critical for swing trading, where you hold for days

The Rules We Follow

FoxTrader operates under strict, predefined rules. We set these before starting and don't change them mid-experiment:

Account Allocation

$1,000 allocated to stock trades — swing trades in equities with defined entries, stops, and targets
$1,000 allocated to options trades — primarily buying calls or puts on high-conviction setups for leveraged exposure

Risk Management Rules

Maximum 2% risk per trade — no single trade can risk more than 2% of the account
Minimum 2:1 reward-to-risk ratio — we don't take a trade unless the potential upside is at least twice the potential downside
No more than 3 open positions at a time (per account) — prevents over-concentration
No averaging down — if a trade goes against us, we take the stop, not add more
No overnight options holds unless specified — options positions have defined expiration strategies

Transparency Rules

Every trade is documented with entry, exit, thesis, and result
Wins AND losses are published
Running P&L is tracked and shared
No trades are taken off-the-record

What FoxTrader Is NOT

Let's be crystal clear about what this project is and isn't:

It's not a product you can buy. FoxTrader is our internal experiment, not a commercial trading bot or signal service.
It's not a "get rich quick" scheme. We started with $2,000. We expect losses. The goal is learning and transparency, not selling a dream.
It's not fully autonomous. A human reviews and approves each trade before execution. The AI does the analysis; we make the final call.
It's not financial advice. We're sharing our experiment for educational purposes. Your situation is different from ours.

Follow Along

We're publishing regular updates documenting FoxTrader's trades, performance, and lessons learned:

Day 1: I Gave an AI $1,000 to Swing Trade — the first entry in the series, covering how we set up FoxTrader and its first trade ideas

New entries will be published as trades are made and closed. Bookmark this page or check our blog for the latest updates.

Why This Matters

AI trading is real. The tools are accessible. Retail traders can build and run these systems today. But the space is flooded with hype, scams, and unrealistic expectations.

We believe the best way to cut through that noise is radical transparency. Show the actual system. Document the actual trades. Publish the actual results — good and bad.

That's what FoxTrader is about. Not proving AI can beat the market. Not selling a course or a bot. Just an honest experiment, documented in public, showing what happens when you actually build and run an AI trading system.

Follow along. Learn with us. And if we lose money, at least it'll make for a good story.

Disclaimer: FoxTrader is an educational experiment. Nothing published in this series constitutes financial advice, investment advice, or trading recommendations. Trading stocks and options involves substantial risk of loss. Past performance does not guarantee future results. Do not trade with money you cannot afford to lose.