dsh-paper-trade

痛点:想练交易的人直接上真钱,亏掉的是学费。 解法:10 万美元虚拟盘 + 哈希链防篡改账本 + 机器强制纪律(无报价拒单、现金不足拒单),只练一条——下单前写理由、成交后留证据。 证据:14 个测试全绿,CI 绿,awesome-dsh 已收录,零第三方依赖。

A zero-dependency paper-trading CLI for the DeepSeek Harness ecosystem: a virtual $100,000 account, real daily stock quotes, and every trade recorded in a hash-chained, tamper-evident ledger. It exists to train one discipline — write the reason before the order, leave the evidence after the fill — without ever touching real money.

MIT · pure Python standard library · by Taiji Whale (太极鲸)

Why it exists

The DSH ecosystem has almost no financial tooling. Most people jump straight to a real brokerage and burn real money. This tool turns "evidence-based trading discipline" into the smallest runnable system:

• Paper only — no brokerage integration, no real funds. The red line is baked into the design.
• Hash-chained ledger — every trade record carries the hash of the previous record; one command verifies nothing was altered.
• Machine-enforced discipline — reject on insufficient cash, reject on insufficient position, reject when no quote exists, $1 virtual commission per trade, $20 minimum notional.
• Zero dependencies — free Yahoo daily bars with a local CSV cache fallback. No third-party libraries.

Install

git clone https://github.com/yangfei222666-9/dsh-paper-trade.git
cd dsh-paper-trade
python3 paper_trade.py status

Requires Python 3.9+. No pip install step: the entire codebase uses only the standard library.

Usage

python3 paper_trade.py quote AAPL            # latest close (Yahoo; cached fallback)
python3 paper_trade.py buy AAPL 10 "reason"  # buy: cash check + commission
python3 paper_trade.py sell AAPL 5 "reason"  # sell: position check
python3 paper_trade.py status                # positions + unrealized P/L
python3 paper_trade.py report                # JSON snapshot (weekly review)
python3 paper_trade.py chain-check           # verify ledger integrity

Command	Purpose
quote SYM	Latest close for a ticker
buy SYM <shares> <reason>	Buy (cash validation + $1 fee)
sell SYM <shares> <reason>	Sell (position validation + $1 fee)
status	Cash, positions, unrealized P/L, total assets
report	Timestamped JSON snapshot under snapshots/
chain-check	Hash-chain integrity verification

The reason argument is not optional decoration — the ledger records it with the trade. If you cannot state a reason, the trade should not happen.

The hash-chained ledger

Every trade appends one line to trades.jsonl:

{"ts": "2026-08-20 09:15:00", "action": "buy", "ticker": "AAPL", "shares": 10,
 "price": 100.0, "px_date": "2026-08-19", "fee": 1.0, "reason": "…",
 "prev": "<first 16 hex of previous hash>", "hash": "<sha1[:16] of this record>"}

• Each record's hash is sha1 over its own canonical body (sorted keys, excluding hash).
• Each record's prev links to the previous record's hash; the head hash is stored in portfolio.json as chain.
• chain-check recomputes every hash from the file and reports the first break point.

Ledger rules: append-only; never rewritten; tampering is detectable, not preventable — the goal is evidence, and the evidence must survive a casual edit.

Design red lines (never change)

1. Paper only. Never connect a real brokerage, never place a real order.
2. No return promises. This is a discipline trainer, not an advisor.
3. No data, no trade. A missing quote rejects the order instead of guessing a price.
4. The ledger is append-only. Established records are never rewritten.

Tests

Stdlib-only unit tests (hash-chain integrity, tamper detection, trade accounting):

python3 -m unittest discover -s tests -v

CI runs the same suite on Python 3.9–3.13 (see .github/workflows/ci.yml).

Files

• prices.py — quote engine (Yahoo daily bars + CSV cache)
• paper_trade.py — trading CLI + hash-chained ledger
• paper_data.py — dashboard data generator
• watchlist.json — example watchlist
• tests/ — stdlib unit tests

Relationship to DeepSeek Harness

The tool runs independently of DSH (any Python 3.9+ environment works). It originated as the investing lane of the "Taiji Whale" butler system inside the DSH ecosystem, and was split out to fill the financial-tooling gap. Roadmap: a DSH plugin panel and a strategy backtest layer.

License

MIT © Taiji Whale (太极鲸)