Your ideas deserve more than a promising backtest. Research, build, and challenge your strategies in one workspace.We handle the infrastructure. You follow the evidence.
Start with an idea. Make every assumption explicit.
Try the workspace belowModern developers use platforms instead of rebuilding cloud, deployment, data, and observability from scratch. Weavers brings that same platform layer to systematic trading.
Weavers handles the data, run environment, compute path, broker readiness, and operational plumbing around systematic research.
Every strategy is challenged by a repeatable validation pipeline before it earns confidence, certification, or distribution.
The marketplace matters only if trust exists first: validated artifacts become discoverable, comparable, forkable, and eventually monetisable.
Ideas are abundant. Backtests are easy to produce. The hard question is whether a strategy survives a rigorous, repeatable, evidence-first process.
Users should research markets, not maintain data pipelines, environments, broker adapters, monitoring glue, and validation scripts.
The product is designed to expose overfitting, regime dependence, cost sensitivity, and weak evidence before capital is involved.
The future marketplace is credible only because every strategy can point back to the same transparent validation process.
Weavers gives builders a golden path: discover an idea, express it as a strategy artifact, challenge it with evidence, then move it toward paper or live readiness under explicit controls.
Weavers treats validation like a sceptical reviewer. It checks data provenance, out-of-sample behavior, synthetic regimes, Monte Carlo robustness, trading costs, and execution readiness before a strategy earns more confidence.
BUILT FOR DEVELOPERS
Connect your research to the data behind Weavers. Explore public data and the account APIs behind your research workflows. Start with strategies, market niches, and price channels below.
Interactive examples below: public reads · No API key required
/api/strategiesBring published strategies and their research context into your own workflow.
curl --fail-with-body 'https://api.weavers.app/api/strategies?limit=5'const response = await fetch("https://api.weavers.app/api/strategies?limit=5", {
signal: AbortSignal.timeout(15000),
});
if (!response.ok) {
throw new Error(`Weavers API returned ${response.status}`);
}
const data = await response.json();
console.log(data);import json
from urllib.request import urlopen
with urlopen("https://api.weavers.app/api/strategies?limit=5", timeout=15) as response:
data = json.load(response)
print(data){
"strategies": [
{
"strategyKey": "example-momentum",
"strategyVariant": "daily",
"strategyName": "Example momentum strategy",
"strategyId": "example-strategy",
"tradingStatus": "paper"
}
]
}/api/nichesExplore five market niches and discover the research behind them.
curl --fail-with-body 'https://api.weavers.app/api/niches?limit=5'const response = await fetch("https://api.weavers.app/api/niches?limit=5", {
signal: AbortSignal.timeout(15000),
});
if (!response.ok) {
throw new Error(`Weavers API returned ${response.status}`);
}
const data = await response.json();
console.log(data);import json
from urllib.request import urlopen
with urlopen("https://api.weavers.app/api/niches?limit=5", timeout=15) as response:
data = json.load(response)
print(data){
"niches": [
{
"nicheId": 1,
"nicheKey": "example-niche",
"displayName": "Example research niche",
"source": "platform",
"visibility": "public",
"membershipKind": "static",
"targetRegime": null,
"assetType": "ETF",
"countryCode": "US",
"exchange": null,
"certifiedCount": 0,
"liveCount": 0,
"medianDailyDollarVolume": null,
"realizedVolatility": null,
"crossSectionalDispersion": null,
"historyDepthDays": null,
"pricedConstituentCount": null,
"metricsAsOfDate": null
}
]
}/api/channelsInspect stored price channels for a symbol, with direction and fitting-window data.
curl --fail-with-body 'https://api.weavers.app/api/channels?symbol=AAPL&limit=5'const response = await fetch("https://api.weavers.app/api/channels?symbol=AAPL&limit=5", {
signal: AbortSignal.timeout(15000),
});
if (!response.ok) {
throw new Error(`Weavers API returned ${response.status}`);
}
const data = await response.json();
console.log(data);import json
from urllib.request import urlopen
with urlopen("https://api.weavers.app/api/channels?symbol=AAPL&limit=5", timeout=15) as response:
data = json.load(response)
print(data){
"symbol": "AAPL",
"channels": [
{
"id": 1,
"timeframe": "1D",
"windowSize": 20,
"direction": "ascending",
"isValid": true,
"startDay": "2026-01-01",
"endDay": "2026-01-28"
}
]
}Notes on research, engineering, and building a more thoughtful way to work with markets.
Find your next read
The curve is a starting point. The real work is understanding what lies beneath it.
Featured story: A good backtest is only the beginning.
Why changing the test can tell you more than improving the result.
A practical starting point for exploring public data in your own tools.
The thinking behind a workspace built around the research process.
The goal is not more backtests. The goal is a disciplined research workspace where infrastructure is handled and every strategy earns confidence through evidence, stress, and operational readiness.
Find strategy projects, inspect saved experiment results, and prepare drafts for review with your own Weavers account. Connect from Claude's directory and approve access. No API key or manual setup needed.
How to connect
