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mt5cli/docs/api/sqlite_history.md
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Daichi Narushima c4232bf44d Add incremental SQLite history SDK (#16)
* Add incremental SQLite history SDK for automated pipelines.

Extract sqlite history helpers into a dedicated module and expose update_history APIs that resume from existing MAX(time) values instead of re-fetching fixed date ranges.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Fix incremental history deals and stale rate view cleanup.

Fetch account events once during incremental updates, drop stale rate_* views when timeframes change, and avoid SQLite variable limits on wide frames.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Fix incremental deal filtering edge cases

Co-authored-by: Cursor <cursoragent@cursor.com>

* Address PR review feedback for incremental SQLite history.

Make rate views collision-free, batch incremental resume queries, scope deduplication to appended boundaries, validate before opening MT5, use atomic SQLite transactions, and expand docs/tests for the new helpers.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Document collect-history SQLite schema with ER diagram.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Fix account-event filtering and drop legacy rates resume.

Account events must follow only account_event_start, not per-symbol trade
cursors. Require normalized rates schema and fail fast when timeframe is missing.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Validate normalized rates schema before incremental resume.

Require symbol, timeframe, and time on existing rates tables with clear
ValueError messages, and add regression tests for malformed schemas.

Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-09 01:28:22 +09:00

4.5 KiB

SQLite History Module

::: mt5cli.sqlite_history

collect-history schema

The collect-history command (and the matching collect_history SDK function) writes selected MT5 datasets into one SQLite database. Each dataset becomes a table; column names and types mirror the pdmt5 DataFrame schema for that export, with two additions:

  • symbol is prepended on every table.
  • timeframe is prepended on rates so appended runs at different bar sizes stay distinguishable.

SQLite does not declare foreign keys. Rows are linked logically by symbol, time windows, and (for deals) position_id / order. Duplicate rows are removed on append using dataset-specific keys (for example ticket on history tables, or (symbol, timeframe, time) on rates).

Optional views are created when --with-views is set and the history-deals dataset was written.

Entity-relationship diagram

Sample layout for a full collection with --with-views:

erDiagram
    rates {
        TEXT symbol "dedup key"
        INTEGER timeframe "dedup key"
        TEXT time "dedup key"
        REAL open
        REAL high
        REAL low
        REAL close
        INTEGER tick_volume
        INTEGER spread
        INTEGER real_volume
    }

    ticks {
        TEXT symbol "dedup key"
        TEXT time "dedup key"
        INTEGER time_msc "dedup key (preferred)"
        REAL bid
        REAL ask
        REAL last
        INTEGER volume
        INTEGER flags
        REAL volume_real
    }

    history_orders {
        INTEGER ticket "dedup key"
        TEXT symbol
        TEXT time
        INTEGER type
        INTEGER state
        REAL volume_initial
        REAL price_open
        REAL price_current
        INTEGER magic
    }

    history_deals {
        INTEGER ticket "dedup key"
        INTEGER order
        INTEGER position_id "groups position view"
        TEXT symbol
        TEXT time
        INTEGER type "0/1 trade, else cash event"
        INTEGER entry "0 IN, 1 OUT, 2 INOUT, 3 OUT_BY"
        REAL volume
        REAL price
        REAL profit
        REAL commission
        REAL swap
        REAL fee
    }

    cash_events {
        INTEGER ticket
        TEXT symbol
        TEXT time
        INTEGER type
        REAL profit
    }

    positions_reconstructed {
        INTEGER position_id
        TEXT symbol
        TEXT open_time
        TEXT close_time
        INTEGER direction
        REAL volume_open
        REAL volume_close
        REAL volume_reversal
        REAL open_price
        REAL close_price
        REAL total_profit
        INTEGER reversal_count
        INTEGER deals_count
    }

    rates ||--o{ history_deals : "symbol (logical)"
    ticks ||--o{ history_deals : "symbol (logical)"
    history_orders ||--o{ history_deals : "order ~ ticket (logical)"
    history_deals ||--|| cash_events : "VIEW: type NOT IN (0,1)"
    history_deals ||--o{ positions_reconstructed : "VIEW: GROUP BY position_id"

Tables and views

Object Kind Source Notes
rates table copy_rates_range Indexed on (symbol, timeframe, time) when columns exist.
ticks table copy_ticks_range Indexed on (symbol, time) when columns exist.
history_orders table history_orders_get Fetched per --symbol, then concatenated.
history_deals table history_deals_get Fetched per --symbol, then concatenated. Indexed on (position_id, symbol) when present.
cash_events view history_deals Non-trade deal types (deposits, balance ops, etc.). Requires type column.
positions_reconstructed view history_deals One row per closed position_id; volume-weighted prices and reversal stats.

Column sets can vary with terminal and pdmt5 version. Views are skipped with a warning when required columns are missing.

Incremental collection

The update_history SDK path uses the same base tables and optional cash_events / positions_reconstructed views. It additionally maintains rate_<symbol>__<timeframe> compatibility views when create_rate_views=True.