Blog

Writing from Quantarya

Notes on signal marketplaces, trading journals, automation, and the product decisions behind Quantarya. Early posts are intentionally practical: what the alpha is, why the journal matters, and how alerts become traceable strategy events.

Risk Management

August 16, 2026

6 min read

Martingale vs anti-martingale in trading

Why I do not use martingale sizing, why percent-at-stop sizing behaves a little like anti-martingale, and why I would choose anti-martingale if forced.

Risk Management

August 16, 2026

Trailing stop losses in trading

Why I personally do not use trailing stop losses much, why some traders like them, and why the answer depends on strategy, coding complexity, and evidence.

Risk Management

August 16, 2026

When to take profit

Why taking profit is partly psychological, how TP1, TP2, and TP3 can reduce pressure, and why exits still need to match the strategy.

Risk Management

August 16, 2026

Fixed vs percentage vs ATR stop losses

How fixed, percentage, ATR, and other stop-loss styles compare, and why I usually prefer ATR-based stops because volatility changes.

Trading Basics

August 14, 2026

Do support and resistance work?

Why I think support and resistance can matter because humans, round numbers, order clustering, and real money flows shape market behavior.

Trading Research

August 14, 2026

Which markets should you trade?

How market selection changes between manual and algorithmic trading, and why manual traders should usually go narrower and deeper.

Trading Research

August 14, 2026

Different markets for trading

A practical tour through crypto, metals, energy, grains, currencies, index futures, bonds, meat, and soft markets, plus why forex and indices are my favorites.

Trading Psychology

August 14, 2026

Can I trade part-time and win?

Why casual part-time trading is difficult, but systematic and algorithmic workflows can make serious trading fit around the rest of life.

Trading Research

August 14, 2026

Why trading systems stop working

Why trading edges can decay over time as markets adapt, other participants find the same inefficiencies, and strategy performance needs continuous monitoring.

Risk Management

August 14, 2026

What leverage is for in trading

Why I see leverage as a capital-efficiency tool, not a reason to increase risk, and why correlation matters when several trades are open.

Trading Research

August 14, 2026

Can you build trading systems without knowing code?

Why no-code tools, TradingView indicators, and GenAI-generated Pine Scripts can help beginners build trading systems, as long as the logic is still tested properly.

Trading Infrastructure

August 14, 2026

Python for algorithmic trading

Why I would stick with Python for algorithmic trading: not because it is always the fastest at runtime, but because it is fast to build, test, and deploy.

Trading Research

August 14, 2026

You do not need complex math to test trading ideas

Why trading research can start with simple hypotheses, measured outcomes, and honest tests before touching advanced quant models.

Trading Infrastructure

August 14, 2026

Scalability in trading

Why a strategy that performs beautifully at one account size cannot be assumed to compound forever without capacity limits, changing markets, and market impact.

Trading Psychology

August 14, 2026

Trading in the Zone and Quantarya

An original Quantarya-style book note on Trading in the Zone, the pull of flow states, and why trading still needs rules, risk limits, and journaling.

Trading Infrastructure

August 14, 2026

Manual trading can run anywhere, algos belong in the cloud

Why manual trading works from phones and laptops, but production algorithmic trading deserves cloud infrastructure, monitoring, and remote controls.

Trading Basics

August 14, 2026

Different order types in trading

A practical explanation of market orders, stop orders, limit orders, stop-limit orders, and MIT orders, plus why I mostly work with limit orders.

Trading Signals

August 14, 2026

How to evaluate trading signals from the internet

Why trading signals should come from sources you trust, how winrate claims can mislead, and why Quantarya should make signal performance transparent.

Trading Psychology

August 14, 2026

How does a perfect equity line look?

There is no perfect equity line, but a healthy one should rise over time while still leaving room for normal drawdown periods.

Trading Psychology

August 14, 2026

Is trading stressful?

Why trading can feel stressful, how risk size changes the pressure, and why weekend exposure needs a plan before the market closes.

Commodity Research

August 14, 2026

Is it a good time to invest in gold or oil?

Why I would not answer that question with a simple yes or no, and why serious commodity exposure needs research before conviction.

Commodity Research

August 14, 2026

What to research before buying gold or oil exposure

A practical research checklist for people who want commodity exposure without pretending price direction is obvious.

Commodity Research

August 14, 2026

Commodity positions need a thesis and a risk plan

Why a commodity trade or investment should start with a written thesis, invalidation point, and position-size logic.

Trading Infrastructure

August 13, 2026

Why traceability beats clever automation

Why a useful trading automation platform needs clear lifecycle records, broker outcomes, and audit trails before it needs more clever execution logic.

AI Trade Review

August 12, 2026

AI signal review without black boxes

How AI can help review strategy behavior in Quantarya without hiding the lifecycle evidence a trader needs.

AI Trade Review

August 11, 2026

AI-assisted trade journaling

A practical view of using AI to draft trade notes while Quantarya keeps the actual record grounded in structured events.

AI Trade Review

August 10, 2026

AI-generated strategy notes need evidence

Why generated strategy notes should cite signals, trades, and lifecycle events instead of becoming vague strategy marketing.

AI Trade Review

August 9, 2026

Using LLMs to review missed trades

How an AI review layer can help explain missing trades without hiding the account-level reason a broker order failed.

AI Trade Review

August 8, 2026

AI risk summaries for trading teams

How AI can summarize active risk across accounts while Quantarya keeps risk decisions explicit and reviewable.

AI Trade Review

August 7, 2026

AI execution anti-patterns

The risky patterns to avoid when AI is placed too close to order execution instead of review and control surfaces.

AI Trade Review

August 6, 2026

When AI should not place the trade

Why AI belongs behind explicit execution rules when real money, prop account limits, and broker constraints are involved.

AI Trade Review

August 5, 2026

Backtesting prompts are not proof

Why prompted backtest summaries must be treated as hypotheses until they are tied to reproducible strategy data.

AI Trade Review

August 4, 2026

Why human review still matters for bots

Automation reduces repetitive work, but Quantarya should still make human review easier when trades behave strangely.

Signal Readiness

August 3, 2026

A trade plan readiness checklist

A Quantarya-specific readiness checklist for signals before they are allowed to create live trade records.

Signal Readiness

August 2, 2026

Acceptance criteria for trading signals

How to make TradingView and API signals testable before they become part of a live Quantarya strategy.

Signal Readiness

August 1, 2026

Strategy backlog refinement for traders

How to refine strategy ideas into smaller testable changes before they hit live execution.

Signal Readiness

July 31, 2026

Splitting large strategy ideas

A practical way to split broad trading automation ideas into smaller Quantarya experiments.

Signal Readiness

July 30, 2026

Common strategy backlog mistakes

The strategy planning mistakes that make automated trading harder to inspect and improve.

Signal Readiness

July 29, 2026

When to run a market spike

How a short research spike can reduce risk before adding a symbol, index, or session to Quantarya automation.

Signal Readiness

July 28, 2026

Testable trading alerts

How to design alerts that can be validated in Quantarya before they reach broker execution.

Signal Readiness

July 27, 2026

Strategy vs signal vs trade

Why Quantarya separates strategy, signal, and trade concepts instead of treating every alert as the whole story.

Signal Readiness

July 26, 2026

What makes a signal ready?

A Quantarya view of signal readiness before an alert is allowed to create a trade.

Risk Capacity

July 25, 2026

Risk capacity for prop accounts

How to think about capacity when a strategy routes across multiple prop accounts with different limits.

Risk Capacity

July 24, 2026

Focus factor for trading automation

A trading version of focus factor: how much of the market day is actually suitable for a strategy.

Risk Capacity

July 23, 2026

Position capacity vs strategy velocity

Why a high number of signals is not useful if the account cannot safely carry the resulting positions.

Risk Capacity

July 22, 2026

How drawdown affects trade capacity

Why drawdown should reduce available automation capacity instead of being treated as an after-the-fact chart.

Risk Capacity

July 21, 2026

Planning risk around news events

How to treat high-impact news as a capacity and pause-rule problem for automated strategies.

Risk Capacity

July 20, 2026

What to do when risk changes mid-session

A practical approach to risk settings when account state changes while markets are open.

Risk Capacity

July 19, 2026

Why traders overcommit accounts

The trading automation version of overcommitment: too many signals, too much exposure, and not enough capacity discipline.

Forecasting

July 18, 2026

Historical data beats optimism

Why Quantarya should make planning decisions from trade history instead of from how a strategy feels this week.

Forecasting

July 17, 2026

Forecasting trade outcomes with ranges

Why strategy forecasts should use ranges and confidence bands rather than one precise profit number.

Forecasting

July 16, 2026

P50 vs P85 for strategy expectancy

A practical explanation of percentile thinking for strategy review, drawdown, and expected outcomes.

Forecasting

July 15, 2026

Monte Carlo thinking for trade journals

How simulation thinking can help traders understand sequence risk without turning Quantarya into a prediction machine.

Forecasting

July 14, 2026

Why a single winrate number misleads

Why Quantarya should count wins from final trade outcome instead of first take-profit touches.

Forecasting

July 13, 2026

Communicating strategy confidence

How public strategy pages can show confidence without pretending automated trading is certain.

Forecasting

July 12, 2026

Why estimation uncertainty should be visible

Why risk estimates, target estimates, and strategy expectations should display uncertainty instead of hiding it.

Forecasting

July 11, 2026

Throughput forecasting vs winrate forecasting

Why trade frequency and winrate answer different questions when reviewing a strategy.

Trade Flow

July 10, 2026

Trade flow metrics explained

A Quantarya introduction to flow metrics for signals, orders, open trades, and closed outcomes.

Trade Flow

July 9, 2026

Trade age for open positions

How trade age can reveal stale positions, slow exits, and strategies that behave differently than expected.

Trade Flow

July 8, 2026

Queue time vs fill time

Why Quantarya should separate alert processing delay from broker order fill behavior.

Trade Flow

July 7, 2026

Flow load for open risk

How the amount of open work in a trading system maps to open positions, pending orders, and active risk.

Trade Flow

July 6, 2026

Detecting bottlenecks in trade routing

How to spot whether missed trades come from payload validation, symbol mapping, account routing, or broker response.

Trade Flow

July 5, 2026

Blocked trades destroy predictability

Why unresolved blocked trades make strategy metrics less trustworthy than a clean losing streak.

Trade Flow

July 4, 2026

Why WIP limits work for trading

A trading automation view of WIP limits: fewer simultaneous positions can create clearer risk and review.

Trade Flow

July 3, 2026

Flow distribution for symbols and sessions

How to see whether a strategy depends too heavily on one symbol, index, or trading session.

Trade Flow

July 2, 2026

Actionable trading metrics vs vanity metrics

How Quantarya can separate metrics that help improve a strategy from numbers that only look impressive.

Trade Quality

July 1, 2026

Definition of done for trades

When is a trade really done in Quantarya: closed position, lifecycle recorded, metrics updated, and audit state clear.

Trade Quality

June 30, 2026

Definition of ready for signals

A concrete readiness rule for automated signals before they enter the Quantarya trade journal.

Trade Quality

June 29, 2026

Acceptance criteria vs exit rules

Why signal validation and trade exit logic belong to different parts of Quantarya's lifecycle model.

Trade Quality

June 28, 2026

How to evolve trade quality rules

How Quantarya can mature signal and trade quality rules without freezing the product too early.

Trade Quality

June 27, 2026

Why your signal readiness rule is too heavy

How to keep signal readiness useful without blocking every strategy experiment in Quantarya.

Trade Quality

June 26, 2026

Audit checklists for frontend, backend, and data

A Quantarya quality checklist for the UI, Lambda workflow, broker routing, and stored trade records.

Trading Roles

June 25, 2026

Who owns strategy quality?

Why strategy quality needs shared ownership between the trader, operator, and product system.

Trading Roles

June 24, 2026

Trader vs operator vs developer

How to separate responsibilities when a Quantarya workflow spans trading judgment, live operations, and code.

Trading Roles

June 23, 2026

How stakeholders should read strategy pages

A practical guide to reading Quantarya public strategy pages without overreacting to one chart or one metric.

Trading Roles

June 22, 2026

Who should change SL/TP rules?

Why stop loss and take profit settings should have ownership, audit history, and clear review moments.

Trading Roles

June 21, 2026

Product owner thinking for Quantarya

How to decide what to build next when the product is both a trading journal and automation control surface.

Platform Architecture

June 20, 2026

Simple architecture beats microservices in trading bots

Why Quantarya should keep its trading automation architecture simple until boundaries truly demand more services.

Platform Architecture

June 19, 2026

AWS services behind a trade journal

A practical look at the AWS-shaped pieces behind Quantarya: Lambdas, APIs, storage, secrets, and observability.

Risk Management

June 10, 2026

Should my quant bot always be running?

Why event-driven quant bots can run continuously, and why every serious system still needs explicit pause rules for extraordinary market regimes.

Trading Infrastructure

June 9, 2026

From TradingView alerts to a strategy journal

How Quantarya treats TradingView as a signal source while keeping strategy IDs, trade lifecycle events, and execution metadata traceable.

Product Thinking

June 8, 2026

A signal marketplace needs a trading journal first

The marketplace layer only becomes useful when every signal can be inspected, grouped, filtered, and audited through a durable journal.

Product Notes

June 7, 2026

Quantarya is in alpha, and that is the point

Why the first version focuses on simple strategy routing, journaling, and honest product boundaries before adding marketplace complexity.

Author

Christian Weiss

Christian has worked in software engineering, data platforms, and cloud infrastructure for over a decade. He currently works on large-scale AWS-based data platforms and writes about software engineering, trading systems, automation, and the lessons learned while building Quantarya. He is also a hobby quant and the founder of Quantarya.

Software engineering

AWS data platforms

Hobby quant

Product notes

Short updates about dashboard improvements, strategy metadata, organizations, and platform changes.

Trading infrastructure

Practical writing about signal ingestion, strategy routing, journaling, and execution workflows.

Guides and thinking

Longer-form posts on how Quantarya approaches signal markets, audit trails, and strategy review.