Strategy backtest

SkillCommerce & finance

Compare strategies on an IDX symbol, backtest the survivor walk-forward, and hand the result to TradingView as Pine Script. Use when the user asks whether a strategy works, to test an idea, or for a Pine script.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Strategy backtest skill

What this skill tells your AI

The instructions your AI receives, as published by ino-xious/stockbit-mcp in skills/strategy-backtest/SKILL.md and read by ahel’s review.

The sequence

  1. strategy_compare symbol=… — nine built-in strategies over the same bars, ranked. This is the cheap first pass: it tells you whether anything on this symbol has an edge worth testing properly, and the bars are fetched once for all of them.
  2. backtest symbol=… strategy=… on the one or two that stood out. Set walk_forward=true and give it folds. An in-sample result on two years of daily bars is a description of the past, and presenting one as a strategy is the single most misleading thing this server can be used to do.
    • Set commission_buy_pct and commission_sell_pct to the user's real fees. IDX defaults are roughly 0.15% buy and 0.25% sell, and the difference between gross and net is where most paper edges live.
    • stop_loss_pct, take_profit_pct and max_hold_bars change the answer more than the entry rule usually does.
  3. pine_script symbol=… kind=strategy to hand it to TradingView, with the entry and exit conditions carried across.

workflow_run name=strategy_check and name=pine_handoff package steps 1–2 and 3.

What to report, and what not to

  • warnings and inconclusive are the result, not a footnote. Read them out. If the backtest says the sample was too small, that is the answer to the user's question.
  • ARA/ARB-locked bars break fills. A limit-up day has no liquidity at the printed price. The backtester flags these; a strategy whose returns come from limit-locked entries did not happen.
  • Two years of daily bars is about 480 sessions. That supports claims about daily setups. It does not support a claim about monthly seasonality, and it does not survive being sliced by regime.
  • Trade count matters more than return. Nine trades with a 60% win rate is not a 60% win rate.
  • Never annualise a backtest or extrapolate it forward.

Presenting it

Give the net return after commission, the trade count, the maximum drawdown, and the walk-forward folds side by side — if fold three lost money, that belongs in the first paragraph. Then the warnings. Then, plainly: backtested results do not predict future returns, and this is not advice.

Signals

GitHub stars
36
Forks
13
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
strategy-backtest
Source
github.com/ino-xious/stockbit-mcp