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FinLab

You speak. It researches.

Build stock quant strategies in one sentence.

AI backtests across Taiwan and US.
900+ indicators. Verified results in 30 seconds.

"Find stocks with consecutive revenue growth"

Found 23 stocks, backtested CAGR 18.3%
Sharpe 1.24, Max Drawdown -12.8%
Run a free backtest

Free to use · 900+ indicators for instant backtesting

226 user survey responses · 53 published strategy reports

Before & After

From coding to plain language

Traditional Requires Python knowledge

Write code, learn APIs, tune parameters

2-4 weeks learning curve, error-prone

import finlab as fl
from finlab import data

close = data.get('price:收盤價')
rev = data.get('monthly_revenue:當月營收')
rev_growth = rev.pct_change(12)

cond1 = rev_growth > 0.2
cond2 = close == close.rolling(60).max()
cond3 = data.get('price:成交股數') * close > 1e8

position = cond1 & cond2 & cond3
report = fl.backtest(position)
report.display()
FinLab AI Zero code

Describe in plain language, AI handles everything

Instant backtesting, results in 3 seconds

Input:

"Find stocks with revenue growth > 20% YoY, 60-day price high, and daily volume > $100M"

Strategy created | Backtest complete | 3.2 sec

Live Demo

Say it, see results

finlab-ai — research
FinLab AI Research Engine v2.4.1
FinLab AI Research Engine v2.4.1
Loading Taiwan stock database — 2,847 stocks | 900+ indicators
> Find stocks with 12-month consecutive revenue growth and PE ratio below 15
[SYS] Analyzing 900+ indicator database...
[SYS] Filter: Revenue growth 12 months AND PE < 15
[SYS] Backtest period: 2019-01 to 2024-12
────────────────────────────────────────
[OUT] Found 17 matching stocks
[OUT] CAGR: 18.3% | Sharpe: 1.24 | Max DD: -12.8%
[OUT] Win rate: 72.4% | Annual turnover: 156%
────────────────────────────────────────
[OUT] Strategy saved → /strategies/revenue-growth-low-pe

Actual interface — from description to results in under 30 seconds

By the Numbers

900+
Financial Indicators
Covering revenue, institutional, chip, and technical data
32.4%
Best Strategy CAGR
Small-cap effect strategy | 2019–2024
0
Lines of Code
Natural language replaces traditional coding

Verified Results

Verified Strategy Performance

Momentum 32.4%
Sharpe
1.31
Max DD
-15.2%
Win Rate
68.7%
F-Score 28.1%
Sharpe
1.18
Max DD
-18.4%
Win Rate
71.2%
Low Volatility 22.7%
Sharpe
1.42
Max DD
-8.9%
Win Rate
74.1%
Red Packet 19.8%
Sharpe
0.97
Max DD
-21.3%
Win Rate
65.8%
Reversal 24.5%
Sharpe
1.15
Max DD
-16.7%
Win Rate
63.4%
Small-Cap Effect 35.2%
Sharpe
1.08
Max DD
-24.1%
Win Rate
66.9%

Backtest period 2019-01 to 2024-12 | Excluding transaction costs | Past performance does not guarantee future results

Not a promise — verified results

Others have already done it

35.51% CAGR
Sharpe 0.85

“營收加速選股法”

See how they did it
24.1% CAGR
Sharpe 0.87

“年化24%實戰”

See how they did it
32.8% CAGR
Sharpe 0.93

“32.8%自動挖掘”

See how they did it

38 verified strategies — which one is your starting point?

Browse All Strategy Research

Run your first backtest in 30 seconds

Free AI research, backtesting, optimization — no credit card required

Free

NT$ 0

Validate whether your stock-picking instincts stand the test of history

  • Describe ideas in plain language, AI builds strategy
  • 900+ historical indicators across US, Taiwan, JP, KR, HK markets
  • View CAGR, Sharpe ratio and other metrics
  • Strategy research article previews
View full database
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Recommended

VIP

NT$ 749/mo

Trade with daily updated data, let strategies auto-pick stocks for you

  • Everything in Free, plus:
  • Daily data updates, real-time stock picks
  • Full portfolio analysis — know when to buy and sell
  • Unlock all strategy articles + full source code
  • Auto-schedule strategy execution

    Set once, runs daily — no need to watch the market

View full database
Start Free, upgrade later

Try backtesting for free first, upgrade only when you're sure — zero risk

Three Steps to Start Profiting

Choose your method

Start in browser

Open Studio, describe strategies in plain language

studio.finlab.tw
01

Install skill

One command, supports 37+ AI tools

02

Describe

Describe your stock-picking ideas in natural language

"Find low PE, high dividend yield stocks, exclude financials"

03

Profit

Instant backtest results and stock picks

CAGR

24.5%

Sharpe

1.18

FAQ

Frequently Asked Questions

FinLab AI is an AI quantitative trading research platform covering Taiwan and US markets. Describe your stock-picking ideas in natural language, and AI automatically builds strategies, backtests, and validates — no coding required.

Not at all. Simply describe your stock selection logic in plain language, like "Find stocks with consecutive revenue growth." FinLab AI will automatically generate and backtest the strategy. Advanced users can also customize strategies using Python.

The free tier provides 900+ historical indicators for backtesting across Taiwan and US markets. VIP (NT$749/month) adds daily data updates, full portfolio analysis, auto-scheduled strategy execution, and complete source code for all strategy articles.

FinLab AI offers 900+ Taiwan stock data indicators covering fundamentals (revenue, EPS, PE ratio), technicals (moving averages, RSI, MACD), and institutional data (foreign/domestic investment, margin trading). Data sourced from TWSE and MOPS.

Backtests use real historical data simulation including transaction costs and slippage. We provide CAGR, Sharpe ratio, max drawdown, and other risk metrics for comprehensive strategy evaluation. Note: past performance does not guarantee future results — please evaluate investment decisions carefully.

Two ways: (1) Open studio.finlab.tw and describe strategies directly in the browser — zero installation. (2) Run curl -sSf https://ai.finlab.finance/install.sh | sh in your terminal to use with Claude Code, Codex, and 37+ AI tools. Advanced users can also install the Python package with pip install finlab.

No coding. No cost.
Just one sentence.

52 strategies all started with one sentence. What's yours?

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