Private beta

The operating system for modern trading strategies.

Every data source, signal, algorithm, and agent — through one risk-aware system — executing across every market.

The pipeline

Research Signals Risk Execution Portfolio Reporting

Intelligence is fragmented

Signals, models, news, indicators, algorithms — scattered across systems that don't talk to each other.

Risk is an afterthought

Guardrails exist outside the path from idea to order — enforced by memory, not by software.

Edge has nowhere to go

Algorithms and signal providers lack distribution. Performance attribution is guesswork.

The platform

Every input. Any market.

Akasha is a mixing palette. Public data, private signals, economic events, technical indicators, news, on-chain metrics, your own models and algorithms — everything flows in, gets processed through your logic and risk controls, and executes across any market.

What flows in

Live market data Prices, bars, order flow — equities & crypto
Economic calendar & macro FOMC, CPI, NFP, yield curves, vol surfaces
News & sentiment Market-moving events, normalized
Technical indicators Regime scores, volatility, momentum, TDQS
Signals & trade alerts Stock alerts and trade signals from any channel — webhook, Discord, Telegram, WhatsApp & more
Your algorithms & models APIs, bots, quant systems — any language

Processed & executed

Risk evaluation 10-layer gate before anything is sent
Strategy routing Discretionary, algorithmic, or agent-driven
Crypto markets CEX & DEX — spot, perpetuals, multiple venues
Equities & options US brokerages, multi-account
Portfolio tracking Live exposure, PnL, attribution
Full audit trail Every decision, every fill, inspectable

Multiple venues, accounts, and workspaces. Venue-neutral by design.

Customizable AI agents

Agents that learn your edge.

Most tools stop at routing alerts. Akasha is built for agents that study your trades and pipelines, watch the markets, and sharpen with every cycle — operational participants inside your workflow, not chatbots.

Signals

Raw intelligence in

Strategies

Structured, repeatable logic

Agents

Learn, evaluate, act

Managed Capital

Under oversight

What they learn from

Your trades & outcomes Pipelines & criteria filters Risk gates & settings Market-regime snapshots Public & historical data

Configure what an agent watches and how it acts. You stay in control; the agent stays accountable.

A two-sided marketplace

Alpha, distributed.

One network, two sides. Creators publish edge — signals, trade alerts, strategies, algorithms. Allocators deploy capital behind it. A provider can be a person or a program.

Creators

Algorithmic traders · algorithm & bot providers · signal & strategy providers · quant researchers · analysts

Allocators

Serious retail traders · trading desks · family offices · capital allocators

Distribute signals & alerts

Fan out from any channel to consumer accounts and messaging apps, with full delivery tracking.

Publish strategies & algorithms

Discretionary or fully algorithmic — packaged as reusable strategies.

Build private networks

Grant and revoke access; route by workspace and trading-account bucket.

Test & compare alpha

Per-source performance snapshots build credibility over time.

Monetization is an emerging capability — built for providers, researchers, and builders to eventually turn edge into a business.

Signal fan-out

Messaging apps Webhooks API Access grants

For capital allocators

One system. Total oversight.

Centralize intake

Every source normalized into one queue.

Test different alpha

Compare providers side by side before you allocate.

Enforce risk

Per-account guardrails on sizing, exposure, and concentration.

Live portfolio view

Positions, balances, and PnL across every venue.

Consistent execution

Idea to order through auditable, repeatable paths.

Oversee any scale

Multiple workspaces, accounts, and trading-account buckets.

For builders

Your models. Our rails.

API-first. Connect any system — proprietary models, execution algorithms, quant pipelines, bots — and Akasha handles risk, execution, portfolio, and reporting beneath it.

Proprietary models
Execution algorithms
Quant pipelines
Any language / API
Custom agents
Bot integrations

Extensibility is architectural. Not a plugin — infrastructure.

akasha api · v1
# Push from your system
POST /api/v1/signal_imports
Authorization: Bearer $AKASHA_TOKEN

{
  "symbol": "BTC",
  "side":   "long",
  "entry":  64250,
  "stop":   62800
}

# → risk gates → execution → portfolio

Scoped bearer tokens. Accounts, positions, balances, snapshots, trade ideas, market regime, and more. Endpoint shape is illustrative.

Risk & execution

Policy enforced in software.

Ten layered controls run before any order is sent — account-aware, configurable, not optional.

Layered risk gates

Trade validation Concurrency limits Direction caps Cluster concentration Margin headroom Daily-loss limit Stop-out breaker Market regime Macro windows Sizing vs fees & slippage

Execution & oversight

  • Preview, send, reconcile — intent and fills stay aligned.
  • Multi-leg orders tracked from entry through stops and targets.
  • Every event captured. Every decision inspectable.
  • Rehearse in the Scenario Lab before capital goes live.

Controls reduce avoidable mistakes — they never eliminate market risk.

Markets

Every market you trade.

Centralized and decentralized crypto exchanges. US brokerages for equities and options. Multiple accounts. One workflow.

Crypto

Spot & perpetuals — CEX and DEX.

Equities

US equities across connected brokerages.

Options

US options, contract-level, end to end.

Venue-neutral by design. Availability depends on account setup.

Accountability

Everything attributable. Nothing hidden.

Provider attribution

Performance tracking

Portfolio snapshots

Execution events

Reporting

Roles & permissions

Workspaces

Operational health