JournalX VS PutFinder

JournalX's answer

JournalX started from a problem most traders recognise. You keep a spreadsheet, it grows to forty columns, and at some point you quietly stop updating it. Even when you do keep it current, it tells you what your P&L was without telling you why.

The existing journals solved half of that. They import trades and produce charts. But they still only look backward, at decisions already made and no longer changeable. The idea behind JournalX was that the interesting data is the difference between the trade you planned and the trade you actually took. Capture the plan first and the journal can show you where discipline broke down, not just where money was lost.

So the product was built around that loop: plan, execute, reconcile, review. Everything else, the analytics, the Gameplans, the notes, the AI assistant, the broker sync, exists to make that loop fast enough to run every single day.

PutFinder's answer:

PutFinder started from frustration with the options-tool landscape: nearly every tool was either a black-box "signal" service or a raw screener that dumped the whole option chain and left you to eyeball it — neither told you why a setup ranked where it did. So it was built as an honest, rules-based alternative: score every cash-secured-put setup from documented factors, publish a daily Top-10, and keep a timestamped forward-test record so the ranking can be verified — or disproven — over time. It's built in public, with the methodology documented rather than hidden, and deliberately framed as descriptive research, not a signals service and not investment advice.

JournalX's answer

Most trading journals are a record of what already happened. JournalX starts one step earlier.

You write the plan before you take the trade: setup, entry, stop, target, position size. Then you take the trade, and the journal reconciles the plan against what you actually did. Over a few hundred trades, that gap between the trade you planned and the trade you took is usually where the real problem lives, and almost no other journal measures it.

PutFinder's answer:

PutFinder is a transparent, rules-based cash-secured-put screener — not a signals service. Instead of telling you what to trade, it ranks every setup in the day's option chain by a single relative score built from documented factors (annualized yield, downside buffer, volatility risk premium, Black–Scholes delta, and an earnings gate), so you can see why one setup ranks above another. It also keeps a timestamped, forward-test record of how its ranked setups actually resolve — a checkable track record, not cherry-picked wins. Every factor is documented and reproducible; nothing is a black box. It's a research tool, not investment advice.

JournalX's answer

Three reasons.

Pre-trade planning. TradeZella, TraderSync, Tradervue, and Edgewonk are all capable at post-trade analysis. None of them ask you to commit to a plan before entry and then score you against it. That is the habit that actually changes behaviour, and it is what JournalX is built around.

Speed and interface. A journal only works if you use it every day. JournalX is fast, navigable from the keyboard through a command palette, and designed so a daily review takes minutes rather than becoming the chore you skip.

Price and coverage. Starter is $24/mo, or $19/mo billed annually. Pro is $49/mo, or $29/mo billed annually. Stocks, options, futures, forex, and crypto are supported at every tier, with broker auto-sync, CSV import, and manual entry, and there is a 7-day free trial.

PutFinder's answer:

Most options tools are either black-box "signal" services that just tell you what to trade, or raw screeners that dump the whole chain and leave you to eyeball it. PutFinder sits in between: it ranks the full chain by a documented, reproducible score and shows why each setup ranks where it does — the exact factors (annualized yield, downside buffer, volatility risk premium, delta, earnings gate) are visible. It's free, transparent, and keeps a checkable forward-test record instead of marketing cherry-picked wins. Choose it if you want a research screener you can inspect and verify, not a signals subscription. (It's descriptive research, not investment advice.)

JournalX's answer

Active, self-directed retail traders who treat trading as a craft and want a real feedback loop on their performance. That spans day and swing traders, and futures, options, forex, and crypto traders across global markets.

PutFinder's answer:

Self-directed US options traders who sell cash-secured puts (and wheel-strategy users) and want a transparent, rules-based way to shortlist setups across a curated universe of liquid names — rather than a signals service telling them what to trade. It's for people who want to see and verify the methodology, not follow black-box alerts. It assumes familiarity with options basics (strikes, expirations, delta) and is used as research, not investment advice.

PutFinder's answer:

The screening engine is written in Python (pandas, NumPy and SciPy for the indicators) over a SQLAlchemy data layer — SQLite in development, Postgres in production. Options data comes from a licensed, real-time US market-data API. The public website is a lightweight, mostly server-rendered web app hosted on Cloudflare. The whole pipeline is documented and reproducible, and built in public.