1024 Strategy Store

Overview

1024 Strategy Store is the marketplace, discovery, and distribution layer for quantitative strategies in the 1024 ecosystem.

It helps traders find, evaluate, and deploy strategies with clear performance and risk context, while enabling creators to publish, iterate, and monetize strategies through a transparent, performance-first distribution channel.

Strategy Store is designed to make strategy discovery more standardized, strategy evaluation more understandable, and strategy deployment more accessible across supported markets and venues.

Core features

1024 Strategy Store provides a structured environment for both strategy discovery and strategy distribution.

For traders

Discover strategies by category, market, time horizon, risk profile, and creator
Compare strategies using standardized performance and risk metrics
Review both backtest and live results in a clearly separated format
Understand execution assumptions, supported assets, and deployment requirements
Deploy strategies via 1024Quant / 1024SDK, with one-click deployment where supported
Allocate capital to strategies and manage exposure over time
Track updates through watchlists, creator profiles, and leaderboards

For creators

Publish strategies with metadata, parameters, documentation, and update notes
Maintain version history and iterate strategies safely over time
Present strategies with structured analytics and consistent disclosure
Build reputation through live performance, transparency, and community signals where applicable
Monetize through platform-supported fee and distribution models where applicable

Platform-level capabilities

Standardized strategy pages for easier evaluation
Strategy filters, tags, and ranking systems for faster discovery
Clear separation between simulated and live results
Risk and execution context presented alongside performance
Ongoing updates to rankings, creator visibility, and discovery surfaces as live data accumulates

What you can do

For traders

Discover strategies by category, market, time horizon, and risk profile
Compare strategies using standardized performance and risk metrics
Deploy strategies via 1024Quant / 1024SDK (one-click where available)
Allocate capital to strategies and manage exposure over time
Follow creators, watchlists, and leaderboards for updates

For creators

Publish strategies with metadata, parameters, and documentation
Version and iterate safely with changelogs and updates
Build reputation via live performance, reviews, and community signals where applicable
Monetize through platform-supported fee models where applicable

Strategy types

Strategy Store may include a range of strategy styles depending on market support, execution venue, and creator configuration.

Typical categories include:

Trend-following

Strategies that seek to capture sustained directional moves across spot, perpetual, or other supported markets.

Mean reversion

Strategies built around the assumption that price deviations may revert toward historical averages or equilibrium levels.

Arbitrage

Strategies designed to capture price dislocations across venues, instruments, or related markets, subject to latency and execution constraints.

Market-making

Strategies that aim to provide two-sided liquidity and earn spread, rebates, or inventory-adjusted edge while managing exposure risk.

Event-driven

Strategies that respond to catalysts such as macro events, scheduled announcements, or market-structure changes.

Momentum

Strategies that attempt to follow recent strength or weakness in price, volume, or broader market behavior.

Hedging and risk-overlay

Strategies intended to reduce directional exposure, manage downside risk, or improve portfolio resilience.

Yield / carry / basis

Strategies focused on funding spreads, carry opportunities, basis trades, or other structural return sources where supported.

AI-assisted or signal-driven

Strategies that use model-generated signals, data pipelines, or rule systems to inform entries, exits, or position management.

Note: Available strategy types, analytics, and deployment options may vary by asset class, execution venue, and product support.

Strategy transparency model

The Strategy Store separates backtest and live performance and presents them in a consistent format.

Performance

Returns
Drawdowns
Volatility
Win rate
Time-window breakdowns

Risk

Leverage
Liquidation exposure
Concentration
Tail-risk indicators where applicable

Execution context

Supported markets and venues
Latency assumptions
Cost model notes
Turnover and execution sensitivity where applicable

Strategy details

Description
Logic summary
Parameter ranges
Supported assets
Version history and update notes where applicable

Note: Exact metrics and risk indicators may vary by strategy type and execution venue.

Ranking and discovery

Strategies can be explored through:

Leaderboards (for example 7D / 30D / all-time)
Filters such as asset, market, risk level, style, time horizon, and creator
Tags and categories such as trend, mean reversion, arbitrage, market-making, and event-driven
Curation signals such as risk-adjusted metrics, consistency, creator credibility, and community feedback where applicable

The goal is not only to surface top-performing strategies, but also to help users identify strategies that match their own risk tolerance, market preferences, and time horizon.

Monetization and incentives

Creators may earn through one or more of the following:

Subscription fees (access-based)
Performance fees (outcome-based)
Revenue share or commissions from followers who deploy the strategy
Incentives or points for early creators and high-quality strategies

Supported fee models may vary depending on strategy type, deployment method, and platform configuration.

How it works

A creator publishes a strategy with metadata, parameters, and documentation. Code visibility depends on the creator’s settings and supported configuration.
The strategy is listed with standardized analytics, performance views, and safety/risk context.
Traders discover the strategy through search, filters, tags, rankings, or creator pages.
Traders review the strategy’s structure, assumptions, risk profile, and execution requirements.
The strategy is deployed via 1024Quant / 1024SDK where supported, and capital is allocated based on the trader’s chosen size and risk preference.
Live performance updates over time, feeding rankings, discovery, and creator reputation.

How to use

For traders

Step 1: Discover Browse the Strategy Store using leaderboards, filters, tags, or creator profiles.

Step 2: Evaluate Review the strategy page carefully, including:

backtest vs live performance
drawdown and volatility
leverage and liquidation exposure
supported markets and assets
execution assumptions and cost model

Step 3: Select a strategy Choose a strategy that matches your market view, time horizon, and risk tolerance.

Step 4: Deploy Deploy the strategy through 1024Quant / 1024SDK where supported. One-click deployment may be available for certain strategies.

Step 5: Allocate capital Start with a small allocation, set your exposure limits, and scale gradually as you build confidence.

Step 6: Monitor and manage Track live performance, review updates from the creator, and adjust or stop allocation as needed.

For creators

Step 1: Publish Create a strategy page with a clear description, parameters, supported assets, and documentation.

Step 2: Disclose clearly Present the strategy with transparent assumptions, risk context, and performance segmentation.

Step 3: Maintain versions Use changelogs and version history to explain updates and keep followers informed.

Step 4: Build trust Improve discoverability and reputation through consistency, transparency, and live performance over time.

Step 5: Monetize Choose supported monetization models where available, such as subscriptions, performance fees, or follower-linked revenue share.

Safety and risk notes

Past performance is not indicative of future results.

Strategies may experience slippage, latency impacts, oracle anomalies, market dislocation, and liquidation risk, especially under leverage.

Always review risk metrics, verify strategy assumptions, understand deployment requirements, start with small allocations, and diversify appropriately.