Strategy Guides
Published On
Jul 08, 2026
This hub collects Stingray’s practical trading strategy guides in one place. The common pattern is simple: state a thesis, resolve the market data, turn the idea into a typed rule, backtest it, then monitor or activate it with the right controls.
Crypto markets appear often because they are the first perfect-information surface where venue data, funding, order books, prediction markets, and onchain activity can be tested with less guesswork. The broader direction is market infrastructure as traditional finance moves onto onchain rails.
Start here
- How Stingray Works explains the thesis-to-rule workflow, data plane, backtest artifact, alert rule, and activation trust ladder.
- How to Read a Backtest Card explains trigger count, cooldown, forward returns, signal density, and data coverage.
- Trading Strategy Backtesting Methodology documents replay semantics, source coverage, warmup, event counting, forward returns, and publication safeguards.
- Strategy Examples collects published prompts, data sources, trigger counts, and forward-return summaries.
- What Is Stingray? Automated Trading Strategies Explained gives the short product overview for turning trading ideas into inspectable workflows.
- How Stingray’s Agentic Trading Desk Works is the page to keep for people searching the “agentic” wording, while still grounding the workflow in concrete strategy artifacts.
Backtest a thesis
Use these guides when the question is whether an idea worked historically before it becomes a live alert or activation flow.
- Backtest a Funding-Rate Rule in One Prompt
- How to Backtest a Strategy with Funding Rates and Macro Events
- Crypto Perpetual Trading: Backtest the Strategy Before You Go Live
- WAL Price Strategy: From Thesis to Backtest in Plain English
Build and monitor live rules
These articles focus on moving from a market read to a typed condition that can be watched in production.
- How to Automate an Onchain Trading Strategy Without Code
- FOMC Transcripts as Onchain Trading Strategy Inputs
- Polymarket Odds as a Trading Signal
- Whale Feed Strategies: How to Trade Open Interest Divergence
- A BTC Breakout Alert, Built and Backtested in One Sentence
Evaluate strategy tools
These guides compare tools by the artifacts they produce: typed rules, backtest cards, alerts, execution controls, and the audit trail around each decision.
- Top Agentic Crypto Trading Tools for Plain-English Strategies
- Trading Strategy Backtesting Platform Comparison
- Best Automated Crypto Trading Bots for No-Code Strategy Building
- Best AI Trading Platforms for Binance and Hyperliquid Backtesting
- Coinrule Alternatives for Hyperliquid AI Strategies
- Stingray vs. 3Commas
Current guide categories
- Funding and derivatives: funding rates, open interest, perpetual markets, execution assumptions.
- Macro and event data: FOMC transcripts, market news, prediction-market odds, event windows.
- Onchain signals: wallet flow, token context, public-market activity, and the data needed to audit a rule.
- Activation controls: notify, preview-confirm, and opt-in execution paths where supported.
How to use this hub
Pick the article that matches the signal you already care about. If the idea is vague, start with the workflow overview. If the idea is concrete, start with the closest backtest guide and reject the strategy quickly if the historical artifact does not hold up.
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