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 own-capital records, public language, and platform capabilities stay aligned.

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YZ

Yuzhuo Zhang

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

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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 research note has real-world context.

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Markets carry risk; research must stay explicit.

WARNING

Notably, our research, tools and market data are for educational and illustrative purposes only.

Good Faith

All information provided is given in good faith, but we make no warranties.

Limitations

The accuracy, reliability, and availability of any information may not be completely valid.

Compliance

Our tools do not provide personalised recommendations, manage funds, or replace regulated professional advice.

Our Features

Research Workbench

Market data, watchlists, alerts, notes, and own-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)

We are proud of:

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

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

Price Alerts: Create watch rules for market moves and keep alert history connected to the research process.

Our Pricing

Data Access Plans

Choose the workspace level that fits your market-data, watchlist, alert, and research-note needs.

Standard

£0.00/mo

  • Market data basics
  • Limited Use of Tools
  • Community Access
  • Support
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Most Popular
Premium

£8.19/mo

  • Webinars
  • Research workflow tools
  • Research note templates
  • Free Support 24/5
Choose Plan
Ultimate

£288/mo

  • Expanded alert history
  • Advanced data views
  • Platform asset signals
  • Free 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. HW & YZ does not accept client funds, manage accounts, place trades, or make decisions for users. The workbench is for market observation, research notes, alerts, and own-capital records only.
No. The platform may show data, calculations, watchlists, alerts, and research templates, but it does not provide personalised recommendations or referrals. Users remain responsible for their own judgement and should seek regulated advice where required.
HW & YZ provides market data views, DCA calculations, watchlists, price alerts, research-note structures, and own-capital performance records. The aim is to make research assumptions explicit and reviewable.
Not yet. The current workbench focuses on market data, watchlists, alerts, calculations, and research notes. A portfolio simulator is planned separately from the public research record.
At present, our data is meticulously 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 research notebook rather than a decision engine. Beginners can start with indices, currency data, DCA calculations, watchlists, and plain-language risk notes before using more advanced views.
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