Super Algo Kit

Your AI coding agent, now with a quant desk. 15 specialists, 35 skills, 23 brokers. You bring the idea. They ship the bot.

[Super Algo Kit @SuperAlgoKit]

Got a trading idea but can't code it? Tell your AI coding agent. A team of 15 specialists builds the bot for gold, forex and crypto.

See how in 1 minute.

Get your Algo Agents Today
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[Super Algo Kit @SuperAlgoKit]

@pauldueman ha, tight budget makes you write better prompts though. plan first, then spend the tokens

[Super Algo Kit @SuperAlgoKit]

A trading bot that cannot explain why it placed an order is a bot you cannot debug. Log the signal, the price it saw, the size and the reason for every order. When something breaks at 3am, that log is the only witness you have.

[Super Algo Kit @SuperAlgoKit]

@Jarvixdotlive true. a plain notes file the agent reads at the start of every session fixes a lot of this

[Super Algo Kit @SuperAlgoKit]

@JadeJMA1 @ProprXYZ fair, fraud checks are fine if they stay about identity and not trading style. just say it clearly up front

[Super Algo Kit @SuperAlgoKit]

@_PatrickYip nice, drift in long sessions is real. a short rule in AGENTS.md plus restating it now and then holds up well

[Super Algo Kit @SuperAlgoKit]

@rchitectopteryx classic deadlock lol. two jobs waiting on each other, a timeout and one owner per job usually fixes it

[Super Algo Kit @SuperAlgoKit]

@stretchcloud agent-first tooling is where this is heading. mcp makes it easy to plug in, the hard part is checking what the agent found

[Super Algo Kit @SuperAlgoKit]

@fx_gx_rx fair. a second agent on another provider as backup keeps work moving when one hits its cap

[Super Algo Kit @SuperAlgoKit]

@Michael_Turek_ yes, if you keep tweaking until the curve looks good you just fit the past. fewer params and a holdout period keep it honest

[Super Algo Kit @SuperAlgoKit]

@realRiverC yep. knowing what to build and how to test it is the real skill, typing code was the easy bit

[Super Algo Kit @SuperAlgoKit]

Backtest sample size matters more than the equity curve. 30 trades can look like an edge and still be luck. Before you trust a strategy, check how many trades are behind it and whether the result holds on a different year of data.

[Super Algo Kit @SuperAlgoKit]

@LiuLawrence45 @thsottiaux random queueing like that is often the relay hop. a direct tailscale link between the two macs helped me

[Super Algo Kit @SuperAlgoKit]

@DanFitzpatrick memory edits the losers out. a plain log of every trade shows the real distribution fast

[Super Algo Kit @SuperAlgoKit]

@dravenip same pain. generating docs straight from the schema in CI fixes most of the drift for me

[Super Algo Kit @SuperAlgoKit]

@masayaneg nice, more room. still worth keeping server instructions tight tho, bloated ones eat context fast

[Super Algo Kit @SuperAlgoKit]

If an AI coding agent writes your trading bot, make it replay one old day of data first and print every order it would send. Read each one by hand. Most bugs show up in the first ten orders, long before real money is involved.

[Super Algo Kit @SuperAlgoKit]

@theagnft that moving line is the trap. i size so one normal loss barely dents the buffer, saves a lot of tilt

[Super Algo Kit @SuperAlgoKit]

@manifoldbt yep. i scale slippage with order size vs volume, backtests get way less pretty after that

[Super Algo Kit @SuperAlgoKit]

@ChromoSphereCom start with one tiny task and log every step it takes. the terms click way faster once you watch it run

[Super Algo Kit @SuperAlgoKit]

@Ahsankhalid23 the hourly guiding doc refresh is smart. drift was my biggest issue too, did compaction at 42% hurt quality much?