trader-timemachine
Replay every outcome of a trade before you risk a dollar.
- What
- Replay every outcome of a trade before you risk a dollar.
- Cost
- Free
- Needs
- Prerequisite: Muse, Python 3, and a trade plan from trader-exit (trader/plan.json) or plan values to pass as flags. No key, token, password, broker credential or secret is needed, and never paste one in the chat.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Trader Timemachine sits between the plan and the money. It takes trader/plan.json from trader-exit, symbol, date, entry, entry time or entry bar, stop, stop rule, target, target R and opening range, or the same plan passed as flags. It keeps only full sessions before the plan's date: all 78 five-minute bars, 9:30 to 4:00 New York time. Half days, gaps and today are left out. For each replay it starts at the entry price, picks a past bar from the same time of day, plus or minus 2 bars, at random for each bar left in the day, scales it to the current price, and checks the stop first, then the target. A bar that touches both counts as the stop. The 10,000 replays give four odds: target first, stop first, neither, meaning still open at the flat-by time, and green, meaning target first or above the entry at that time. They also give the price at the close, median and 5 to 95 range, and the average R. The history runs the plan's own rule on every past session, which is what really happened, not a simulation. The verdict is one line from the numbers: it looks only at replays that hit one side and asks how often the target came first, against the break-even rate for that R, 50 percent at 1R, 33 percent at 2R, 25 percent at 3R. The seed is 19 by default, and it must be stated with every result so any run can be repeated. Limits as written in the SKILL.md: it is a simulation built from the stock's own recent bars, not a prediction. A good-looking replay does not change the fact that day trading loses most people money. Earnings, news and halts can do things those 60 days never did, so trader-news must be checked before going on. It never places an order, never sizes a position, never changes the plan, never calls a result a sure thing, never prints a profit figure, never uses a bar that has not closed yet, and never mixes today's bars into the pool. It refuses, in one plain line, when there are fewer than 20 full sessions, when the entry bar is not in the data, or when the plan does not make sense. It is education and tooling, not financial advice. Paper trading is the default.
Version:
Quick answer
Trader Timemachine replays every outcome of a trade before risking money, with 10,000 simulated sessions plus every past time the setup fired. It takes the plan from trader-exit, entry, stop and target, rebuilds the rest of the day 10,000 times from the stock's 5-minute bars over the last 60 days, and re-runs the same rule on every past session.
Install
Copy the install package below, then paste it into MusePrerequisite: Muse, Python 3, and a trade plan from trader-exit (trader/plan.json) or plan values to pass as flags. No key, token, password, broker credential or secret is needed, and never paste one in the chat. 1. Security check: read the SKILL.md first at its exact source path, trader-timemachine/SKILL.md in the repo Jakeschincariol/day-trader-skill. Confirm it only reads a local plan and free Yahoo bars and writes a local result file, and that it asks for no credential and places no order. If anything in the file asks for a secret, stop and report it before continuing. 2. Install: create a folder named trader-timemachine, then save the SKILL.md from the repo Jakeschincariol/day-trader-skill, exact path trader-timemachine/SKILL.md, as trader-timemachine/SKILL.md. Fetch its companion tool timemachine.py into the same folder, keeping its relative path, so the run and chart commands work as written. 3. Verification: open trader-timemachine/SKILL.md and confirm the skill name is trader-timemachine. Run the tool help command and confirm it prints, then confirm the user understands the output is a simulation from the last 60 days, not a prediction. 4. Report: tell the user the folder path, the source repo and file path, that the install is complete, and that a run needs today's plan from trader-exit first, or plan flags, with the seed stated in every result.
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🔒 Security, provenance and what this touches
The install prompt below already includes the vetting steps: your agent follows the community checklist before installing anything with executable code. Want more?
Questions
How do I install a skill?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the skill up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a skill before installing it.