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Big-Data Quant Screener
Smarter Stock Picking
Fully Automated · 8,000+ US Stocks Screened Daily

•Daily Stock Signals: Pushed via Telegram at 4 PM — precise trade setup alerts

•Deep Learning Engine: 100+ high-dimensional features extracting hidden market signals

•Data-Driven Validation: Transparent backtest results, stress-tested across 10+ extreme scenarios

•Options Bootcamp: 40-minute hands-on course — get started fast

Strategy Center

Signal History

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Signal History Ranking

Gain from signal to peak

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Latest Signal

Subscribe to VIP Level 1 for real-time signals

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Today's Signal

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Core Features · From Signal to Profit

By 4 PM daily, before US market opens, our AI engine completes all analysis — you just need to plan and execute with discipline

01

Receive Telegram Signals

Get instant AI signal notifications via Telegram — no need to watch screens all day

Sent at 4 PM every trading day

Receive Telegram Signals
02

Plan in Strategy Center

Visit the Strategy Center for signal details, chart analysis, and build your trade plan

Backed by technical indicators and charts

Plan in Strategy Center
03

Risk Calculation · Position + Stop Loss/Take Profit

Input your max acceptable loss, max consecutive losses, and other risk parameters

Auto-calculate optimal position size, set stop-loss and take-profit levels, and quantify risk

Risk Calculation · Position + Stop Loss/Take ProfitRisk Calculation · Position + Stop Loss/Take Profit
04

Execute Trades

Plan complete — execute with discipline during US market hours

Place trades through your preferred broker and strictly follow your trading plan

Execute Trades
Interactive Brokers
Futu
Webull
Yuanta
1st Trade
Interactive Brokers
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Webull
Yuanta
1st Trade
Interactive Brokers
Futu
Webull
Yuanta
1st Trade
Interactive Brokers
Futu
Webull
Yuanta
1st Trade
Interactive Brokers
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Webull
Yuanta
1st Trade

Subscribe to receive daily Telegram signals

VIP Member Stock Signals
Daily AI Pattern Recognition + Breakout Stock Alerts

VIP Level 1

HK$499/mo

As low as HK$399/mo with yearly, save 20%

Telegram VIP Member Channel
Strategy 1: Pullback Breakout — steady wins, suitable for conservative investors (Target 10%-20% profit)
TOP 20 signals delivered daily at 4 PM
Professional charting with auto-drawn support/resistance on multiple timeframes
Smart stop-loss and take-profit alerts
Detailed video tutorials + chart analysis + market insights
Recommended

VIP Level 2

HK$799/mo

As low as HK$638/mo with yearly, save 20%

All VIP Level 1 benefits
Strategy 2: Continuation Breakout — positioning after breakouts to capture trend momentum, higher reward with higher risk, suitable for aggressive investors (Target 20-40% profit)
AI Real-time Portfolio Sharing (Coming Soon)

Daily auto-generated buy and sell signals. Members receive real-time instructions and can query AI's current positions via Telegram

Daily AI signal delivery + full backtest reports
Early access to new strategies

Super VIP

HK$1988/mo

As low as HK$1582/mo with yearly, save 20%

All VIP Level 1 + Level 2 benefits
Strategy 3: Smart Select Strategy — advanced multi-factor model, maximize returns while controlling risk, strongest performer among 3 strategies (Target 30-50% profit)
AI Deep Market Analysis

Built for traders追求极致, penetrating macro and micro levels to dynamically optimize your portfolio across different dimensions

AI Real-time Market Monitoring

Unafraid of market regime changes — deploy in both range-bound and trending markets

AI Disaster Alert System (Coming Soon)

Identifies individual stock momentum exhaustion to optimize profit retention

All plans include Telegram signal delivery · Supports Credit Card / PayPal / FPS

Stock Screener Demo

From signal analysis to position management — make smarter investment decisions, faster

Your all-in-one AI trading decision assistant — interpret signals, assess risk, and optimize positions in seconds

  • Independently analyze AI trading signals
  • Quickly review company background, sector, and market cap
  • Adjust risk parameters and calculate suggested position size
  • Identify optimal entry timing and calculate risk-reward ratio
  • Set stop-loss and take-profit levels based on your risk tolerance
  • Preview options contract details and estimate entry cost from spreads
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Tested by Real Members Proven Profits

Real member portfolios + strategy tracking — building a verifiable profit system

Member Portfolio Showcase

Follow breakout signals to capture short-term profit opportunities

Trade Profit Records

Members unlock quantitative advantages to amplify compounding returns

Strategy Signal Trade Records

Return:

Signal Trigger: Apr 26 $989.42

High Price: May 8 $1562

Return: +56%

Apr 26

Strategy 2 detected a breakout pattern and issued an entry signal: SNDK $989.42. Technicals showed strong continuation with volume expansion and risk ratio controlled within 13%.

Apr 27

Signal published to member channel. Same day, price rose to $1044, a ~+5% single-day gain. A poll showed 70% of members chose to wait, reflecting cautious sentiment.

May 8

Price peaked at $1562, a +56% gain over two weeks. The equity curve shows steady growth, demonstrating the strategy's real performance under disciplined execution.

Enterprise-Grade Strategy Auto-Refresh Mechanism

Algo Lab's AI models are retrained weekly with the latest market data and expert review, ensuring strategies continuously adapt to market changes and prevent model decay

1

New Data Import

Automated

Regularly collect the latest market data including price, volume, options, fundamentals, and sentiment indicators to ensure the model is built on the most complete information

2

Model Training

Optimize Params

Retrain models using cross-validation (CV) and fine-tuning techniques to optimize parameter combinations and improve prediction accuracy

3

Model Validation

Backtest

Validate model performance through historical backtesting and real-time simulation, checking key metrics including return rate, max drawdown, and win rate

4

Human Review

Expert Approval

Quantitative analysts review model logic, risk control metrics, and trading rules to ensure every update adheres to trading discipline

5

Update & Optimize

Live

Approved models are deployed to the Algo Trading Pipeline, generating real-time trading signals and continuously optimizing strategy performance

Continuous Cycle · Always Optimizing
Model Approval Request

Always Adapt to Market

Models update weekly with the latest data, capturing structural shifts and emerging trends to prevent strategy failure due to changing market conditions

Prevent Model Decay

Regular retraining effectively combats model decay, maintaining peak predictive performance

Continuously Improve Accuracy

Each training iteration optimizes through cross-validation and performance feedback, with signal accuracy and risk control capabilities improving over time

1

New Data Import

Automated

Regularly collect the latest market data including price, volume, options, fundamentals, and sentiment indicators to ensure the model is built on the most complete information

2

Model Training

Optimize Params

Retrain models using cross-validation (CV) and fine-tuning techniques to optimize parameter combinations and improve prediction accuracy

3

Model Validation

Backtest

Validate model performance through historical backtesting and real-time simulation, checking key metrics including return rate, max drawdown, and win rate

4

Human Review

Expert Approval

Quantitative analysts review model logic, risk control metrics, and trading rules to ensure every update adheres to trading discipline

5

Update & Optimize

Live

Approved models are deployed to the Algo Trading Pipeline, generating real-time trading signals and continuously optimizing strategy performance

Continuous Cycle · Always Optimizing
Model Approval Request

Core Benefits

Always Adapt to Market

Models update weekly with the latest data, capturing structural shifts and emerging trends to prevent strategy failure due to changing market conditions

Prevent Model Decay

Regular retraining effectively combats model decay, maintaining peak predictive performance

Continuously Improve Accuracy

Each training iteration optimizes through cross-validation and performance feedback, with signal accuracy and risk control capabilities improving over time

Why Choose Algo Lab

Algo Lab sits between retail and institutional investors — delivering near-institutional-grade AI quantitative trading capabilities at an affordable price

Retail InvestorAlgo LabInstitutional Investor
Market Coverage & Data Depth
Limited monitoring — only a few dozen stocks. Basic analytical tools relying on candlestick patterns and simple indicators. Fundamental analysis limited to financial statement summaries. Lack of multi-dimensional data makes consistent profitability difficult.All 8,000+ US stocks, over 100M data points — detailed fundamental analysis, options data (Put/Call, implied volatility), market sentiment, macroeconomics, market structureGlobal markets, all stocks, supercomputer-level massive data, alternative data sources
Trade Frequency & Scale
Low frequency — a few to a dozen trades per month; 5-20 positions10-100 trading signals daily (200-2000 opportunities per month); tens to hundreds of positions — optimal balance between capturing opportunities and managing costsUltra-high frequency — thousands to tens of thousands of trades daily; thousands of positions
Automation Level
Fully manual — screen, analyze, and place trades yourself. Time-consuming and inefficient.Semi to fully automated — AI scans the entire market, generates signals, and calculates risk/position sizing. Users can choose manual confirmation or set automation rules.100% automated quantitative system — end-to-end no human intervention
Emotional Discipline
Highly susceptible to fear and greed — chasing highs, selling too early, refusing to cut lossesSystematic signal-driven — every entry and exit decision is backed by AI data with preset stop-loss and take-profit levels, significantly reducing emotional interference100% quantitative-driven, zero emotional factors
Barrier & Accessibility
Zero barrier — but also zero advantage. Relies solely on personal judgment and limited tools.Low barrier to institutional-grade tools — a subscription model that lets retail investors access AI quantitative capabilities once reserved for institutionsExtremely high barrier — requires million-dollar tech teams and supercomputer infrastructure
Market Coverage & Data Depth

Retail Investor

Limited monitoring — only a few dozen stocks. Basic analytical tools relying on candlestick patterns and simple indicators. Fundamental analysis limited to financial statement summaries. Lack of multi-dimensional data makes consistent profitability difficult.

Algo Lab

All 8,000+ US stocks, over 100M data points — detailed fundamental analysis, options data (Put/Call, implied volatility), market sentiment, macroeconomics, market structure

Institutional Investor

Global markets, all stocks, supercomputer-level massive data, alternative data sources

Trade Frequency & Scale

Retail Investor

Low frequency — a few to a dozen trades per month; 5-20 positions

Algo Lab

10-100 trading signals daily (200-2000 opportunities per month); tens to hundreds of positions — optimal balance between capturing opportunities and managing costs

Institutional Investor

Ultra-high frequency — thousands to tens of thousands of trades daily; thousands of positions

Automation Level

Retail Investor

Fully manual — screen, analyze, and place trades yourself. Time-consuming and inefficient.

Algo Lab

Semi to fully automated — AI scans the entire market, generates signals, and calculates risk/position sizing. Users can choose manual confirmation or set automation rules.

Institutional Investor

100% automated quantitative system — end-to-end no human intervention

Emotional Discipline

Retail Investor

Highly susceptible to fear and greed — chasing highs, selling too early, refusing to cut losses

Algo Lab

Systematic signal-driven — every entry and exit decision is backed by AI data with preset stop-loss and take-profit levels, significantly reducing emotional interference

Institutional Investor

100% quantitative-driven, zero emotional factors

Barrier & Accessibility

Retail Investor

Zero barrier — but also zero advantage. Relies solely on personal judgment and limited tools.

Algo Lab

Low barrier to institutional-grade tools — a subscription model that lets retail investors access AI quantitative capabilities once reserved for institutions

Institutional Investor

Extremely high barrier — requires million-dollar tech teams and supercomputer infrastructure

AI Quantitative Trading · Pattern Recognition · ML Stock Selection

Every trading decision is validated by over 100 million data points. We use AI pattern recognition and machine learning models to automatically detect Cup & Handle, VCP, and other breakout patterns, generating precise stock selection signals.

120M+

Daily Data Points Processed

8,148

US Stocks Scanned in Real-time

247

AI Multi-factor Indicators

10+ Years

Historical Data Backtested

Multi-Factor Radar

AI Neural Processing

Signal Analytics

SemiconductorsNVDAAMDAVGOQCOMMUMRVLBig TechAAPLMSFTGOOGMETAFinancialsJPMBACGSMSEnergyXOMCVXCOP

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Frequently Asked Questions

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