skills/terrylica/cc-skills/plotext-financial-chart

plotext-financial-chart

SKILL.md

Plotext Financial Chart Skill

Create ASCII financial line charts for GitHub Flavored Markdown using plotext with dot marker (). Pure text output — renders correctly on GitHub, terminals, and all monospace environments.

Analogy: graph-easy is for flowcharts. plotext with dot marker is for financial line charts.

When to Use This Skill

  • Adding price path / line chart diagrams to markdown documentation
  • Visualizing trading concepts (barriers, thresholds, entry/exit levels)
  • Any GFM markdown file needing financial data visualization
  • User mentions "financial chart", "line chart", "price chart", "plotext", or "trading chart"

NOT for: Flowcharts or architecture diagrams — use graph-easy for those.

Preflight Check

All-in-One Preflight Script

/usr/bin/env bash << 'PREFLIGHT_EOF'
python3 --version &>/dev/null || { echo "ERROR: Python 3 not found"; exit 1; }
if command -v uv &>/dev/null; then PM="uv pip"
elif command -v pip3 &>/dev/null; then PM="pip3"
else echo "ERROR: Neither uv nor pip3 found"; exit 1; fi
python3 -c "import plotext" 2>/dev/null || { echo "Installing plotext via $PM..."; $PM install plotext; }
python3 -c "
import plotext as plt, re
plt.clear_figure()
plt.plot([1,2,3], [1,2,3], marker='dot')
plt.plotsize(20, 5)
plt.theme('clear')
output = re.sub(r'\x1b\[[0-9;]*m', '', plt.build())
assert '•' in output
" && echo "✓ plotext ready (dot marker verified)"
PREFLIGHT_EOF

Quick Start

import re
import plotext as plt

x = list(range(20))
y = [97, 98, 100, 101, 100, 98, 100, 101, 102, 101,
     100, 98, 100, 101, 102, 103, 102, 101, 100, 100]

plt.clear_figure()
plt.plot(x, y, marker="dot", label="Price path")
plt.hline(103)    # Upper barrier
plt.hline(97)     # Lower barrier
plt.hline(100)    # Entry price
plt.title("Triple Barrier Method")
plt.xlabel("Time (bars)")
plt.ylabel("Price")
plt.plotsize(65, 22)
plt.theme("clear")
print(re.sub(r'\x1b\[[0-9;]*m', '', plt.build()))

Mandatory Settings

Every chart MUST use these settings:

Setting Code Why
Reset state plt.clear_figure() Prevent stale data
Dot marker marker="dot" GitHub-safe alignment
No color plt.theme("clear") Clean text output
Strip ANSI re.sub(r'\x1b\[…', '', …) Remove residual escape codes
Build as string plt.build() Not plt.show()

Marker Reference

Marker GitHub Safe Use When
"dot" Yes Default — always use
"hd" Yes Terminal-only, need smoothness
"braille" No Never for markdown
"fhd" No Never — Unicode 13.0+ only

Rendering Command

/usr/bin/env bash << 'RENDER_EOF'
python3 << 'CHART_EOF'
import re
import plotext as plt

x = list(range(20))
y = [97, 98, 100, 101, 100, 98, 100, 101, 102, 101,
     100, 98, 100, 101, 102, 103, 102, 101, 100, 100]

plt.clear_figure()
plt.plot(x, y, marker="dot", label="Price path")
plt.hline(103)
plt.hline(97)
plt.hline(100)
plt.title("Triple Barrier Method")
plt.xlabel("Time (bars)")
plt.ylabel("Price")
plt.plotsize(65, 22)
plt.theme("clear")
print(re.sub(r'\x1b\[[0-9;]*m', '', plt.build()))
CHART_EOF
RENDER_EOF

Embedding in Markdown (MANDATORY: Source Adjacent to Chart)

Every chart MUST be immediately followed by a <details> block with Python source. Explanatory text goes after the <details> block, never between chart and source.

✅ CORRECT: Chart → <details> → Explanatory text
❌ WRONG:   Chart → Explanatory text → <details>

See ./references/api-and-patterns.md for full embedding template.

Mandatory Checklist

  • plt.clear_figure() — Reset state
  • marker="dot" — Dot marker for GitHub
  • plt.theme("clear") + re.sub() strip — No ANSI codes
  • plt.title("...") — Every chart needs a title
  • plt.xlabel / plt.ylabel — Axis labels
  • plt.plotsize(65, 22) — Fits 80-col code blocks
  • <details> block immediately after chart (before any explanatory text)

Troubleshooting

Issue Cause Solution
ANSI codes in output Missing theme/strip Add plt.theme("clear") and re.sub() strip
Misaligned on GitHub Wrong marker type Use marker="dot", never braille/fhd
Chart too wide plotsize too large Use plt.plotsize(65, 22) for 80-col blocks
No diagonal slopes Too few data points Use 15+ data points for visible slopes
ModuleNotFoundError Not installed Run preflight check
Empty output Missing build() Use plt.build() not plt.show()

Resources

Weekly Installs
53
GitHub Stars
19
First Seen
Feb 7, 2026
Installed on
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