About Algonney
A rule-based crypto trading automation platform — built out of years of hands-on trading, and the conviction that traders should stay in control of their capital, their strategies, and their risk.
Our Mission
Make serious systematic-trading infrastructure accessible to individual traders — while keeping control, transparency, discipline, and risk awareness exactly where they belong: with you.
Trading infrastructure worth trusting usually gets assembled piece by piece — data feeds, execution scripts, servers, monitoring — until maintenance becomes its own job. We build that infrastructure so individual traders don't have to.
Accessibility never lowers the stakes. Trading futures involves real risk, which is why honesty about capabilities and limits is part of this product rather than an obstacle to it.
Built From Real Trading Experience
Algonney did not begin as a startup idea looking for a market. It began with years of hands-on trading: studying charts, planning trades, managing positions manually, and living with the outcome of every decision.
That experience changed what mattered. The hard part of trading was never access to indicators or screens. It was execution — consistently doing what had already been decided, at any hour and in any conditions, without the plan dissolving under stress.
Our Story
Like many traders, we started out manually. Study the chart, define the plan, place the trade, manage it — and discover how much effort goes into simply holding a plan while the market does everything it can to pull your attention somewhere else.
One pattern kept repeating itself: having rules and following rules are two different problems. Decisions that looked straightforward during calm evening review became fragile the moment real money was moving. So a practical question emerged: if a trading botcarried out entries, exits, and position sizing according to specification — at any hour, without hesitation or fatigue — would discipline finally hold?
The hardest part was never finding rules. It was keeping them — late at night, under pressure, when every instinct argued for improvising.
Automation helped, but it was never enough on its own. A bot follows instructions faithfully, including untested ones. So testing came next: running strategies against historical market data before anything touched real funds. Then risk controls, so mistakes stay bounded. Then monitoring, because software acting on your behalf has to remain observable. Each answer created the need for the next tool — and those tools gradually became a platform.
Algonney is that evolution, opened up for traders walking a similar road. It carries the lessons rather than the drama: rules over improvisation, evidence over optimism, and honest limits stated plainly — because respecting limits is precisely what makes automation worth having.
What Algonney Actually Does
Algonney is a platform for building, testing, and running rule-based crypto trading strategies without writing code. You stay the author of the strategy; the platform provides the machinery around it.
Define entry, exit, filter, and risk rules visually. Examine them against historical market data through backtesting, then rehearse them in paper trading with simulated funds before any real exposure.
When you decide a strategy is ready, it can run automatically on USDT-margined perpetual markets on Binance, Bybit, and OKX — connected through your own exchange account. Capabilities scale by plan, with clear pricing at every level.
Rule definition without code — entry, exit, filter, and risk conditions expressed visually, in concepts rather than programming syntax.
Historical backtesting on closed Binance Spot candles, with results reported alongside the limits of what history can show.
Strategy Boost explores parameter ranges you specify, running deterministic combinations with statistical ranking. Not AI, not prediction — search you can audit.
Non-custodial exchange connectivity, automated execution within your defined rules, and continuous performance visibility once a strategy goes live.
How It Works
One connected path from idea to managed automation — authored by you at every stage.
Idea
Every systematic approach starts as an idea with logic behind it: trend following, mean reversion, breakouts, filtered variations. Any coherent idea is a valid starting point.
Rules
Express the idea precisely — when to enter, when to exit, what to filter out, how much to risk per position. Defined visually, without code.
Backtest
Run the rules against historical market data to see how they would have behaved, wins and losses included. Evidence informs decisions; it cannot promise the future.
Improve
Test parameter combinations systematically instead of guessing. Strategy Boost searches variants, runs each through a full backtest, and ranks the results statistically.
Paper Trade
Rehearse the complete strategy against live market data with simulated funds, before real capital is involved.
Connect Exchange
Link your own account at Binance, Bybit, or OKX through API credentials scoped to read-and-trade — withdrawals disabled by design, capital stays yours.
Automate
Go live when ready. The platform acts on your defined conditions continuously, regardless of hour or volatility, within the limits you set.
Monitor
Follow executions, positions, and performance as they happen. Automation without observability isn't serious — visibility is built in from the start.
At every stage the trader remains the author. Algonney supplies infrastructure — definition, testing, simulation, execution, monitoring — not opinions about what to trade.
What We Believe
Stated plainly enough to hold us to them.
Rules Over Emotion
Discipline breaks most often under pressure. Technology should help traders follow systems they deliberately built instead of improvising when markets get loud.
Test Before Risk
A strategy should face historical evidence before real capital faces the market — and every report should be candid about what history cannot prove.
Trader Control
Your strategy. Your risk settings. Your exchange account. Your decision to run, pause, or stop. Infrastructure serves these decisions; it never replaces them.
Transparency Over Hype
No profit promises. Measurements, limitations, execution details, and risk are shown the way we would want them shown before trusting a platform with our own money.
Reliability Matters
Automation only counts when it operates continuously, observably, and safely. Monitoring, careful failure behavior, and recoverability are features — not operational extras.
Improve Through Evidence
Measured behavior and real trader workflows change this platform faster than assumptions ever will.
Trader Control & Non-Custodial Design
Two boundaries shape how this platform relates to you and your capital.
You author the strategy
Entry, exit, filters, sizing, leverage ceilings, risk settings — configured by you or not configured at all. Algonney executes decisions; it does not make them. There is no signal service here and no financial adviser.
Your capital stays in your exchange account
Connectivity happens through API credentials you create on your own exchange account, encrypted where stored and scoped to read-and-trade only. The platform's automated processes act inside those permissions.
Stopping is always available
Pause, adjust, or disable automation whenever you choose. An off switch harder to reach than the on switch would be a design failure — ours are equals.
Your trading capital stays yours
Algonney does not take custody of connected-exchange trading funds. They remain in your exchange account while automated strategies act on them within the permissions you granted.
Non-custodial design reduces custody exposure. It does not eliminate trading risk or exchange risk — markets, liquidity, latency, and exchange failures remain real.
Security & Reliability
Described conservatively, and checked against what the system actually does.
Encrypted, permission-scoped credentials
Exchange API credentials are encrypted at rest and internally restricted. Connections permit read-and-trade operations only — withdrawal stays outside the permissions these keys hold.
Second factors where risk lives
High-risk actions — connecting, modifying, or deleting exchange API keys, confirming withdrawals — require two-factor authentication rather than trust alone.
Audit logging
Algonney maintains audit logging and records of important strategy and execution activity, so questions can be answered from evidence afterward instead of guesswork.
Continuous operation, monitored
Automated trading runs day and night, so operation is monitored continuously, with safeguards designed to stop problems quickly and visibly rather than silently.
A fuller technical description of our security model — including what we require from your API keys and why — lives on the security page.
Who Algonney Is For
Traders on a specific journey get the most out of it:
- Manual traders moving toward systematic trading, who want discipline supported by infrastructure instead of willpower alone.
- Traders who already think in rules and want them made exact — precise conditions, precise sizing, tested before deployed.
- Careful traders who want historical evidence and simulated execution before real capital is exposed.
- Traders who want automation without assembling their own patchwork of scripts, servers, and exchange plumbing.
- Experienced systematic traders who prefer configurable tools, honest metrics, and direct exchange connectivity over black boxes.
And who it is not for: anyone seeking effortless passive income. Automated leveraged trading rewards study — understanding risk management is a prerequisite here, not an optional upgrade.
What We Don't Promise
- We don't guarantee profits — trading crypto futures involves substantial risk of loss.
- We don't predict markets — no feature of this platform knows tomorrow's price.
- We don't eliminate risk — automation changes how risk is taken; it never removes it.
- We don't pretend automation rescues weak strategies — flawless execution of a flawed idea just loses money efficiently.
- We don't treat backtests as proof — past performance suggests possibility, not replication.
What we do promise:
Serious, transparent infrastructure for researching, testing, simulating, automating, and monitoring strategies that you author — plus straight answers about everything this platform does and refuses to do.
Our Vision
Ambitions stated as ambitions — this is where we are heading, not what already exists.
We're building toward one connected home for the whole trading lifecycle: developing an idea into explicit rules, testing them honestly, optimizing deliberately, rehearsing them safely, automating the ones that earn it, monitoring outcomes, and learning from them — without stitching together five disconnected systems along the way.
The point underneath: traders should spend less time watching screens and more time thinking clearly about strategy, evidence, and risk. Systematic decision-making deserves accessible infrastructure that leaves its user in control, states its limitations openly, and improves through evidence rather than noise.
Editorial standards
Last reviewed: 2026-08-27
How we review claims
Public pages describing what the platform does are checked against the product’s actual behaviour — the running code and its configuration — not against marketing copy. Where a page and the code disagreed, we changed the page.
Technical-claim verification
Statements about markets, data sources, execution, and security are sourced from a single internal product-truth registry, and build-time checks scan published copy against it. Claims the registry forbids outright — describing the product as AI-driven, or attributing backtest data to an exchange whose candles were never used — fail those checks rather than being published.
Comparison sourcing
Comparison pages record where each competitor fact came from and the date it was checked. Competitor details change without notice, so we publish the check date alongside the claim and remove figures we cannot source. See the comparison hub.
Update cadence
Pages are reviewed when the product changes and during periodic content reviews. Articles carry a visible last-updated date that matches their structured-data and sitemap dates — we do not refresh those dates unless the content actually changed.
Corrections
If you find something inaccurate, email support@algonney.com and tell us the page and the claim. We correct confirmed errors at their source and then update the affected content, along with the page’s last-reviewed date.
Authorship
Content is published and maintained by Algonney as an organization rather than under individual bylines, and our structured data says the same. We do not attribute articles to named authors or reviewers we have not published, and we do not use invented personas.
For how backtest results specifically are produced — including the dataset, its limits, and what we cannot claim — see the backtesting methodology.
Trade Your Plan
Build your strategy. Test your rules. Decide when you're ready to automate.