HW & YZ

HW & YZ

HW & YZ is an own-capital research and market-data workbench for observing markets, recording decisions, and turning price signals into structured notes.

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HW

Haowen Dong

We set the research boundaries and long-term direction so house-capital records, research voice, and system capabilities stay aligned.

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YZ

Yuzhuo Zhang

We connect data, workflow, and product rhythm so the internal research system can operate as sustainable infrastructure.

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JC

Hunt Chiu

We use disciplined financial frameworks to break down price, valuation, and risk-return assumptions into research that can be checked.

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YX

Yucy Mung

We start with reporting quality, cash flow, and accounting assumptions, testing whether the numbers are reliable before framing scenarios and risks.

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ZX

Zane Yuen

We use models, volatility, and scenario analysis to track price changes and turn abstract risk into comparable exposures and boundaries.

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YJ

Colin Chow

We follow macro conditions, cross-market relationships, and business cycles so each market observation has real-world context.

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Markets carry risk; research must stay explicit.

WARNING

This system is for internal research and information management only. It does not constitute investment advice and is not offered to external clients as a regulated service.

Data Sources

All information is provided from sources currently available to us, but without warranty of any kind.

Use Limitations

We do not guarantee that any information is complete, accurate, or continuously available in all circumstances.

Compliance

This system does not accept client funds or provide personalised recommendations, and cannot replace regulated professional advice.

Our Features

Research Infrastructure

Market data, portfolio value curves, period performance, and house-capital records in one focused workspace.


indicator("Double Moving Average Trading Strategy", overlay=true)

fastLength = input.int(10, title="Fast MA Period")
slowLength = input.int(20, title="Slow MA Period")

fastMA = ta.sma(close, fastLength)
slowMA = ta.sma(close, slowLength)

plot(fastMA, title="Fast MA", color=color.blue)
plot(slowMA, title="Slow MA", color=color.red)

if (ta.crossover(fastMA, slowMA))
    label.new(bar_index, high, text="Buy", color=color.green)
    alert("Buy at: " + str.tostring(close), alert.freq_once_per_bar_close)

if (ta.crossunder(fastMA, slowMA))
    label.new(bar_index, low, text="Sell", color=color.red)
    alert("Sell at: " + str.tostring(close), alert.freq_once_per_bar_close)

The system currently provides:

Market Data: Track indices, currencies, commodities, and reference prices without turning data into advice.

Research Records: Record thesis, assumptions, risks, entry and exit plans, and later reviews in a structure that can be audited.

Observation Signals: Set observation rules for market movements and link alert history back into research workflows and position records.

Our Pricing

Access Levels

Choose the access level that matches your research role for market data and position records.

Researcher

£0.00/mo

  • Standard market data
  • Basic research tools
  • Internal research library
  • Support
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Common
Analyst

£8.19/mo

  • Research workflow templates
  • Research workflow tools
  • Performance review templates
  • Internal support 24/5
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Research Lead

£288/mo

  • Expanded alert history
  • Advanced data views
  • Internal signal library
  • Internal support 24/7
Choose Plan
Our FAQs

Frequently Asked Questions

Further explanation of our business to ensure your understanding.

FAQ

Frequently Asked Questions

Providing comprehensive answers to help you better understand our services

Swift Responses
Professional & Reliable
Comprehensive Coverage
No. This system does not accept client funds, manage accounts, place trades, or make decisions for users. It is for internal market observation, portfolio value curves, calculations, and house-capital records only.
No. The system may show data, calculations, portfolio value curves, and reference metrics, but it does not provide personalised recommendations or referrals. Users remain responsible for their own judgement and should seek regulated advice where required.
The system provides market data views, cash-flow projections, portfolio value curves, period performance, and house-capital records. The aim is to make market observation explicit and reviewable.
Not yet. The current system focuses on market data, portfolio value curves, calculations, and performance review. A portfolio simulator is planned separately.
At present, our data is sourced from reputable providers including Alpha Vantage, Bloomberg, EOD, IEX Cloud, Intrinio, Morningstar, Quandl, Refinitiv, Xignite, and Yahoo Finance. We ensure seamless integration by directly accessing their respective Python packages and APIs.
Yes, if used as a market-data and research system rather than a decision engine. Beginners can start with indices, currency data, and cash-flow projections.
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