Context gets repeated
Stack, market, conventions, and constraints live in your head instead of travelling with the project.
The Agentic Kit
for building
Algo Bots
Bring 12 specialist roles and 32 reusable skills together to build and review trading tools with a coding agent.
$ npx super-algo-kit init
✓ Installing into your-project
✓ algo development -> roles, skills, commands
✓ 12 roles, 32 skills, 4 build sets ready
✓ wrote SUPER_ALGO_KIT.md, fill it in so the kit learns your project
› Done. Super Algo Kit is ready.
Works with what you already use
Bring the kit
into your workflow.
Keep the same starting point whether your work lives in GitHub or an AI coding agent. The kit travels with the project, so every handoff starts with context.
- GitHubRepositoryKeep your files, history, and decisions together.
- Claude CodeCoding agentMove from a brief to a focused change.
- CodexCoding agentTurn context into an owned implementation.
- GrokCoding agentCarry the same workflow into another agent.
Bring the kit to GitHub, Claude Code, Codex, or Grok as part of your existing workflow. It is reusable development content, not an official integration or partnership with any provider.
The solo-builder tax
You have the idea.
The starting point keeps moving.
Trading software gets expensive before the first useful test: the brief is vague, the data contract is assumed, and every new session starts by rebuilding context.
One generalist gets every job
Research, architecture, execution, testing, and copy blur together when there is no clear role for the next decision.
Important gates arrive late
Hypothesis, data quality, risk boundaries, and failure behavior are easier to review when they are part of the build from the start.
A clearer first move
Carry the context.
Not the clutter.
Start each build with the few inputs that change the answer: the market, the data, the rules, and the boundary around the work.
PROJECT STARTER READY TO ADAPT
01 / INPUTMarket context
Instrument, session, data source, and constraints.
02 / OUTPUTReviewable build
Rules, state, tests, and the next decision.
- One source of context for the next specialist
- Clear handoffs from research into code
- Boundaries visible before live decisions
Why the kit exists
Give the agent
better starting material.
“Build me a trading bot.”
You get a blank-page conversation. The important questions around data, state, risk, testing, and release arrive late or not at all.
“Use the right set for this job.”
Start from a focused procedure, give the agent your context, and keep the resulting work in the codebase you own.
What you can build
One kit for the
work between ideas.
Start with the outcome you want. Use the set that helps you shape, test, and improve it.
Algo bots
Turn rules into signals, positions, state, and order boundaries you can inspect.
Start with a botMarket scanners
Define universes, conditions, ranking, and outputs without hunting charts by hand.
Build a scannerBacktests
Make assumptions and evaluation criteria explicit before trusting a result.
Test an ideaTrading tools
Build dashboards, alerts, paper runners, and the pieces that make a system legible.
Shape the stackThe agent sets
Specialists for
the next move.
Each set narrows the job. Use one specialist or move across the build as your project becomes clearer.
12 agent roles in the kit
Research
Strategy researcher
Turn a market idea into a testable hypothesis with explicit assumptions.
HypothesisContextEdge review
Build
Trading systems architect
Map the tool, its boundaries, and the order in which the work should happen.
ArchitectureContractsBuild plan
Build
Algo bot developer
Build signals, positions, state transitions, and execution-ready strategy logic.
SignalsStateOrder flow
Research
Market scanner builder
Search symbols, sessions, and conditions without manual chart hunting.
UniverseConditionsRanking
Research
Backtest engineer
Challenge the edge with clean data contracts, metrics, and walk-forward checks.
Event loopMetricsValidation
Markets
Market data engineer
Make feeds, symbols, sessions, timestamps, and freshness visible in the system.
FeedsSessionsData quality
Safety
Risk and sizing engineer
Define exposure, sizing, limits, stops, and failure behavior before live decisions.
Risk gatesSizingDrawdown
Build
Execution and broker engineer
Shape order lifecycles, retries, slippage handling, and broker reconciliation.
OrdersRetriesReconciliation
Build
Portfolio engineer
Coordinate multiple strategies, capital allocation, and portfolio-level exposure.
AllocationExposureCorrelation
Build
Monitoring tool builder
Build dashboards, logs, and alerts that make a trading system legible.
DashboardsObservabilityAlerts
Safety
QA and failure analyst
Probe edge cases, paper-trading behavior, and the paths a happy test misses.
Test matrixFailure modesPaper run
Release
Release and operations engineer
Turn “looks ready” into a documented release decision with runbooks and gates.
RunbooksReadinessRelease
The skills library
Focused skills.
Clear handoffs.
Reusable procedures keep an agent from skipping the details that make trading software understandable and testable.
Research
Strategy hypothesis
Turn a market idea into a falsifiable question with explicit assumptions.
Research
Market regime map
Describe the conditions where the strategy should work and where it should not.
Research
Universe design
Build a symbol universe that matches the instrument, venue, and research question.
Research
Indicator audit
Check what each input measures, when it is available, and how it can mislead.
Research
Signal definition
Turn a chart idea into rules that another person can implement and test.
Research
Backtest design
Choose the event loop, assumptions, metrics, and evidence a backtest must produce.
Research
Walk-forward validation
Separate discovery from evaluation so the result has a chance to generalise.
Research
Bias and leakage audit
Find look-ahead, survivorship, selection, and timestamp errors before trusting a result.
Build
Algo bot scaffold
Start a clean bot structure with signals, state, positions, and order boundaries.
Build
Scanner builder
Turn conditions into a repeatable scanner with ranking, filters, and output.
Build
Data feed adapter
Connect a feed behind an explicit interface for symbols, bars, ticks, and health.
Build
Symbol and session normalizer
Make names, timezones, sessions, and trading calendars consistent.
Build
Strategy state machine
Make entry, hold, exit, pause, and recovery states explicit and testable.
Build
Broker order adapter
Keep broker-specific order calls behind a small, testable execution boundary.
Build
Position ledger
Track intent, submitted orders, fills, quantities, average price, and realised state.
Build
Portfolio allocator
Coordinate capital, exposure, and constraints across multiple strategies.
Build
Trading dashboard
Make signals, positions, orders, data health, and failures visible in one place.
Build
Alert workflow
Route meaningful events to the right channel without turning noise into a system.
Build
Paper trading runner
Run the complete loop without sending live orders and capture useful evidence.
Build
Market replay harness
Replay recorded data to reproduce decisions, failures, and timing-sensitive behavior.
Markets
Crypto exchange adapter
Shape exchange symbols, 24/7 sessions, funding, liquidity, and API quirks.
Markets
Forex session model
Work with pairs, sessions, spreads, and the conditions that change through the day.
Markets
NSE and BSE symbol map
Keep Indian instruments, segments, market hours, and broker names aligned.
Markets
Options chain and Greeks
Build around strikes, expiries, Greeks, payoff shape, and defined risk.
Safety
Risk budget
Translate a trading idea into limits for loss, exposure, leverage, and concentration.
Safety
Position sizing
Define how size changes with risk, volatility, capital, and confidence.
Safety
Stop and exit logic
Make stops, targets, time exits, and emergency flattening explicit.
Safety
Slippage model
Expose the difference between a signal price and a realistic execution price.
Safety
Retry and idempotency
Prevent reconnects and retries from creating duplicate or unknown orders.
Safety
Reconciliation audit
Compare intent, broker state, and internal state before deciding what happened.
Safety
Failure-mode matrix
List what can fail, how it appears, and what the system should do next.
Safety
Release readiness
Turn “looks ready” into evidence, gates, a runbook, and a clear decision.
The workflow
Describe the job.
Keep the result.
A simple loop for people who want to build, inspect, and improve, not just prompt and hope.
Choose a set
Start with the question in front of you.
Pick research, build, markets, or safety based on what the project needs next.
Give the context
Explain the job in your own words.
Share the market, constraints, existing code, and the outcome you want to examine.
Review the output
Keep what makes the system better.
Your agent writes with you. You decide what enters your repository and what is ready for the next gate.
Built for ownership. The kit is a starting system, not a hosted trading service. Your code, data choices, credentials, and decisions stay in your hands.
Why builders choose the kit
Keep the craft.
Lose the repetition.
The value is not another chat window. It is a set of repeatable decisions that stays close to the code, the market, and the person responsible for the result.
- 01
Context travels with the project
Write the stack, conventions, market, and boundaries once. Use them again when the next specialist takes over.
- 02
Specialists narrow the next decision
Researcher, architect, builder, risk reviewer, and release owner each have a clear job to do.
- 03
Outputs stay inspectable
Prompts become briefs, checklists, code, and review notes you can change, test, and own.
One clear offer
Start with
the kit.
Everything you need to give a coding agent a better starting point for algo-bot and trading-tool work.
One-time access · private delivery · updates included- 01Reusable skills
Focused procedures for research, building, markets, and safety.
- 02Agent sets
Specialist roles that help you decide what to solve next.
- 03Build workflows
Practical paths for bots, scanners, backtests, and tools.
- 04Use with your agent
Bring it to Claude Code, Codex, Grok, and your own repository.
Risk boundary: Super Algo Kit is development software and workflow content. It is not investment advice, a signal service, or a promise of performance. Trading involves substantial risk; you remain responsible for code review, data quality, credentials, infrastructure, compliance, and any decision to trade live.
FAQ
Clear answers
before you start.
Do I need coding knowledge?
No. You can start by describing the tool or question in plain language. A developer can use the same kit for deeper implementation and review.
Which coding agents can I use?
The kit is designed to work with coding agents such as Claude Code, Codex, and Grok. The exact setup depends on the agent and repository you choose.
What can I build with it?
Use it to shape algo bots, market scanners, backtests, dashboards, paper runners, risk tools, broker workflows, and other trading development projects.
Is this a signal service or a bot I can switch on?
No. It is a reusable development kit. It does not send signals, manage an account, place orders, or promise that a strategy will make money.
Who owns what I build?
Your project and code stay in the repository you use. You are responsible for reviewing, testing, securing, and operating anything you create.
What does the $49 access include?
One-time access to the current kit, its reusable skills and agent sets, practical build workflows, and future kit updates as described at the time of access.
Build from a better starting point