📈 Trading Studio

Backtest classic signals, watch the paper portfolio, and track the AI research engine — all in one place.

The Six Signals, in Plain English

Each card is one trading idea the studio can test. No jargon — just what it does and who would use it.

Momentum (12-1)

momentum_12_1

Buy last year's winners

Ranks stocks by how much they rose over the past year (skipping the most recent month) and buys the strongest performers. The simple idea: stocks that have been going up tend to keep going up for a while.

Who uses it The classic quant factor — used by trend-followers and most systematic equity funds. A go-to starting point.

Volatility-Scaled Momentum

vol_scaled_mom

Winners, adjusted for how bumpy they are

Same 'buy the winners' idea as momentum, but it favours stocks whose climb has been steady over ones that lurch up and down. It divides each stock's gain by its choppiness, rewarding smooth winners.

Who uses it Risk-aware funds that want momentum returns with fewer wild swings and smaller drawdowns.

Trend (200-Day Average)

trend_ma200

Only own stocks in an uptrend

Looks at each stock's average price over the last 200 trading days. If today's price is above that line, the stock is considered to be in an uptrend and is held; if it falls below, it's dropped.

Who uses it Long-term trend followers and anyone wanting a simple rule to stay out of falling stocks.

RSI Oversold

rsi_oversold

Buy sharp recent drops

Uses the RSI gauge to spot stocks that have just dropped hard and look 'oversold'. It buys them expecting a short-term bounce back toward normal — betting that fear was overdone.

Who uses it Short-term mean-reversion and swing traders hunting for quick rebounds.

Short-Term Reversal (1-Month)

reversal_1m

Buy last month's losers

Buys the stocks that did worst over the past month. Over short horizons beaten-down names often snap back, so yesterday's losers can become next month's winners.

Who uses it Mean-reversion desks and market-makers — the mirror image of momentum, profiting when crowds overreact.

Low Volatility

low_volatility

Own the calmest stocks

Picks the stocks whose prices move the least day to day. Historically these boring, stable names have delivered solid returns with much smaller ups and downs than the hottest stocks.

Who uses it Conservative and pension investors who want equity exposure with a smoother ride (the well-known 'low-vol anomaly').

Backtest

Run all six signals on a basket of stocks and compare them to simply buying & holding.

Each row is one strategy. Annual = average yearly return · Sharpe = return per unit of risk (higher is better) · MaxDD = worst peak-to-trough drop (smaller is better) · Total = total return over the whole period · Win% = share of months that were positive. A green row means it beat buy & hold on both Sharpe and total return.

Long-only · ~10 years of daily data · monthly rebalance · net of 10 bps trading costs.

Paper Portfolio

Live view of the paper-trading account written by the executor module.

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AI Research Engine Coming online

Where autonomous strategy discovery will live.

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What's coming

The next module pairs Qlib (an AI quant research platform) with RD-Agent, an autonomous agent that proposes new trading ideas, backtests them, learns from the results, and proposes better ones — a research loop that runs on its own. Discovered signals will be written to the signals table and show up automatically in the Backtest and Portfolio tabs.

  • Today: six hand-built signals you can backtest right now.
  • Next: Qlib + RD-Agent generate and vet brand-new signals automatically.
  • Then: the best ones flow to the executor and into the paper portfolio.