Install
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npx agentmarket install skill/zhijucen-mql5-from-pinescript
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About
Use cases: data, security
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/mql5-from-pinescript
What's inside
- Skill name
mql5-from-pinescript- Description
- Port TradingView Pine Script indicators to MQL5. Fetch open-source Pine via the pine-facade endpoint (no login/browser), map Pine constructs (offsets, fill, plotshape, request.security, alertcondition, var-state) onto MQL5 buffers/chart objects with a shift-invariance + closed-bar state-machine model, compile via mql5_helper, and record every deviation.
- License
- MIT
- Metadata
- version: 0.1
- Instructions
- 183 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (51)
- SKILL.md
- 0004-supertrend-regime-confluence.ini · assets/mql5-side/
- 0005-macd-pullback-sniper.ini · assets/mql5-side/
- 0006-aurora-kama.ini · assets/mql5-side/
- BufferDump-EA.mq5 · assets/mql5-side/
- parity_0002.ini · assets/mql5-side/
- AdaptiveDecyclerSupertrend.mq5 · assets/mql5/
- AuroraKamaTrend-EA.mq5 · assets/mql5/
- DirectionalKernelFilter.mq5 · assets/mql5/
- MACDPullbackSniper-EA.mq5 · assets/mql5/
- ModernIchimokuCloud.mq5 · assets/mql5/
- SuperTrendRegimeConfluence-EA.mq5 · assets/mql5/
- strategy-common.mqh · assets/mql5/
- PROVENANCE.md · assets/pine-scripts/
- adaptive-decycler-supertrend.pine · assets/pine-scripts/
- aurora-kama.pine · assets/pine-scripts/
- directional-kernel-filter.pine · assets/pine-scripts/
- macd-pullback-sniper.pine · assets/pine-scripts/
- modern-ichimoku-cloud.pine · assets/pine-scripts/
- supertrend-regime-confluence.pine · assets/pine-scripts/
- README.md · references/pine-script-docs/
- concepts-alerts.md · references/pine-script-docs/
- concepts-bar-states.md · references/pine-script-docs/
- concepts-chart-information.md · references/pine-script-docs/
- concepts-inputs.md · references/pine-script-docs/
- concepts-other-timeframes-and-data.md · references/pine-script-docs/
- concepts-repainting.md · references/pine-script-docs/
- concepts-strategies.md · references/pine-script-docs/
- concepts-timeframes.md · references/pine-script-docs/
- faq-strategies.md · references/pine-script-docs/
- faq-variables-and-operators.md · references/pine-script-docs/
- language-built-ins.md · references/pine-script-docs/
- language-execution-model.md · references/pine-script-docs/
- language-type-system.md · references/pine-script-docs/
- language-variable-declarations.md · references/pine-script-docs/
- reference-drawing.md · references/pine-script-docs/
- reference-input.md · references/pine-script-docs/
- reference-misc.md · references/pine-script-docs/
- reference-plotting.md · references/pine-script-docs/
- reference-strategy.md · references/pine-script-docs/
- reference-ta.md · references/pine-script-docs/
- pine-to-mql5.md · references/
- 0001-modern-ichimoku-cloud.md · references/ports/
- 0002-adaptive-decycler-supertrend.md · references/ports/
- 0003-directional-kernel-filter.md · references/ports/
- 0004-supertrend-regime-confluence.md · references/ports/
- 0005-macd-pullback-sniper.md · references/ports/
- 0006-aurora-kama.md · references/ports/
- check_0002_parity.py · scripts/
- extract_pine.py · scripts/
- fetch_pine_docs.py · scripts/
SKILL.md (first lines)
# Pine Script → MQL5 Porting Skill Turn an open-source TradingView Pine indicator into an MQL5 indicator (`.mq5`, chart window or subwindow) with an explicit, recorded fidelity contract. Ports live in `assets/mql5/`; the fetched Pine original is kept verbatim in `assets/pine-scripts/` as the fixed source asset. ## When to use - User points at a TradingView script URL and wants it in MQL5/MT5. - A Pine port needs review: fidelity check, deviation audit, re-compile. - deciding whether a script is portable at all (open-source? plots only? drawing-heavy? repainting strategies are out of scope). Out of scope: closed-source scripts (masked) — ask the user for the Pine source; never decompile or screenshot-transcribe. Pine *strategies* (`strategy.*`, order simulation) port to an **EA** only after the user asks for trading logic; this skill's default target is indicators. ## Step 1 — Fetch the Pine source (open-source first) ```bash # writes the verbatim source + prints metadata python skills/mql5-from-pinescript/scripts/extract_pine.py fetch \ "https://www.tradingview.com/script/<id>-<slug>/" \ -o skills/mql5-from-pinescript/assets/pine-scripts/<name>.pine # later: prove the asset still matches the published source python .../extract_pine.py fetch "<url>" --check assets/pine-scripts/<name>.pine ``` How it works: page HTML embeds `"script_id_part":"PUB;<hex>"` → `https://pine-facade.tradingview.com/pine-facade/get/PUB%3B<hex>/1` returns JSON with `source`, `scriptAccess`, `version`. (`scriptAccess != "open_no_auth"` → warn, source may be masked.) **Never** copy from the rendered code viewer: it renders spaces as U+00A0 and silently corrupts the file (this happened — see `assets/pine-scripts/PROVENANCE.md`). Also record provenance (URL, id, version, fetch date, normalization) in a `PROVENANCE.md` next to the asset. ## Step 2 — Triage before writing code Read the whole Pine file once. Classify every construct: | Class | Examples | Port strategy | |-------|----------|---------------| | Direct | `plot`, math, `input.*`, crossovers | buffers + `input` (mapping table below) | | Shifted plot | `offset=±k` | value remap at write time, EMPTY slots where data doesn't exist yet | | Fill | `fill()` | `DRAW_FILLING` (only 2 dynamic colors — see D1 pattern) | | Shapes/labels/tables | `plotshape`, `label`, `table` | `DRAW_ARROW` / `OBJ_TEXT` / `OBJ_LABEL` grid | | Background | `bgcolor` | impossible → corner readout, record deviation | | MTF | `request.security` | hand-built HTF series + closed-bar margin | | State | `var`, `barstate.isconfirmed` | one state class + closed-bar state machine | | Alerts | `alertcondition` | `Alert()` on realtime-closed bars only | | Strategy orders | `strategy.entry/exit` | out of scope (EA, ask user) | Estimate object counts (`line`/`label`/`table` creations): every Pine object becomes a chart object — cap them (FIFO) or drop the feature and record it. ## Step 3 — Apply the mapping Full table + rules: `references/pine-to-mql5.md`. When a construct's semantics are unclear, consult the curated excerpts in `references/pine-script-docs/` (manual pages + API entries actually used by ports — see its README) before guessing. The four rules that decide correctness: 1. **Shift-invariance** — displayed values are intrinsic per bar; compute once, let MT5's buffer shifting carry them. Refresh only index 0 (per tick) and slots whose supplier bar was just born. 2. **Closed-bar state machine** — `var`/`isconfirmed` logic runs exactly once per closed bar, chronologically, guarded by `m_lastProcessedTime`; bulk backfill on the first call. 3. **Realtime-only alerts** — backfill accumulates, never alerts. 4. **ATR parity** — Pine `ta.atr` is Wilder RMA; MQL5 `iATR` is SMA of TR. Compute RMA inline; never use `iATR` when the port must match TV. ## Step 4 — Write the `.mq5` - Target path: `skills/mql5-from-pinescript/assets/mql5/<Name>.mq5`. - Follow the MQL5 code style (`skills/mql5/references/quick-ref-code-style.md`): PascalCase functions/methods, `C`+PascalCase classes, `m_`+camelCase members, ALL_CAPS constants, K&R braces, 4-space indent. - One state class for `var` state (members reset in `OnInit`, objects deleted in `OnDeinit` via `ObjectsDeleteAll(chart, prefix)`); free functions for pure math (blend, percentile, RMA, bounds-checked highest/lowest). - Every input mirrors a Pine input 1:1 (same default!) under an `input group` / `[Group]` comment matching Pine's `group = ...`. - Header comment block: port number, Pine source path, deviations summary (D-numbers from the port record). ## Step 5 — Compile & verify ```bash python skills/mql5/scripts/mql5_helper.py check assets/mql5/<Name>.mq5 python skills/mql5/scripts/mql5_helper.py compile assets/mql5/<Name>.mq5 ``` Wine exit 0 ≠ success: require a fresh `.ex5` + `.log` next to the source (Pitfall #17 in `skills/mql5/SKILL.md`). Then run the checklist in `references/pine-to-mql5.md` §5 — the two invariants that catch most port bugs: - **idempotence**: no new bar ⇒ no buffer/object changes; - **no repaint**: a closed bar's values/objects never change afterwards. ## Step 6 — Record the port Create `references/ports/NNNN-<name>.md` (zero-padded, next free number) with: source/port/provenance table, faithful list, ATR/semantics decisions, **numbered deviations D1…Dn (mandatory, even when empty)**, and open verification tasks. Register the port id in this SKILL.md's `metadata.ports`. ## Layout
From ZhijuCen/mql5-skills, MIT.
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- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 22, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 0.1
- License
- MIT
- Repository
- github.com/ZhijuCen/mql5-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
mql5-from-pinescript skill. Agent Mart. https://agentmart.dev/skills/zhijucen-mql5-from-pinescript (last updated 2026-10-24)