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A complete automation stack — from strategy encoding to live execution — built around the principle that protecting capital comes before chasing returns.
Strategy automation means nothing if it ignores position sizing and drawdown limits — Zenqoras treats them as equal components.
When you onboard with Zenqoras, the first step isn't connecting a broker — it's defining your risk profile. You specify your maximum loss per trade as a percentage of account equity, your daily loss ceiling, your maximum open positions, and your drawdown circuit-breaker level. Only once those parameters are set does the platform accept your strategy logic: entry conditions, exit conditions, and trade management rules encoded as a clear, auditable ruleset. The system then runs your strategy through our backtesting engine against historical tick data with realistic slippage and commission assumptions. You see a full performance summary — net return, maximum drawdown, win rate, average risk/reward — before a single real-money order is placed. Once you go live, the monitoring dashboard tracks every metric in real time. If a risk limit is approaching, you receive an alert. If it's breached, the system pauses automatically. The entire cycle — from rule definition to live performance review — is contained within one platform, designed for a solo trader without a development team behind them.
Five interconnected modules that work as one system.
Translate your entry and exit rules into a live-running automation without writing code. The rule builder uses plain-language logic blocks — 'if RSI crosses below 30 and price is above the 200-day EMA, open a long position of X% equity.' The bot monitors your chosen instruments 24 hours a day and fires orders in sub-second latency when your conditions are met.
Before going live, test your strategy against up to five years of tick-level historical data. The engine models realistic slippage, spread widening during volatile periods, and broker-level commission structures. Results include a detailed trade log, drawdown curve, and a Monte Carlo stress-test showing how the strategy might behave under adverse market conditions.
Configure up to four independent risk layers: per-trade stop-loss, per-session loss cap, total equity drawdown circuit breaker, and a maximum concurrent-positions limit. Each layer can trigger a different response — alert only, pause new entries, or close all open positions. The configuration is version-controlled so you can always see what risk settings were active during a given period.
Connect to your broker via an API key in minutes. Zenqoras validates the connection, checks margin availability, and runs a pre-trade health check before each session. If the broker API returns an error during a session, the system halts and alerts you rather than silently missing trades or placing erroneous orders.
A real-time, mobile-friendly dashboard showing open positions, P&L by strategy, daily and weekly risk utilisation as a percentage of your configured limits, and a full event log. Every order, modification, and cancellation is recorded with a UTC timestamp, a direction, a size, and the specific rule that triggered it.
Transparency about scope is part of how we keep your expectations grounded.
Zenqoras is a tool for automating a strategy you already have — or one you develop with the platform's backtesting environment. The platform does not generate trading signals, provide investment advice, or recommend which instruments to trade. Returns depend entirely on the quality of the strategy you supply and the market conditions it encounters; no outcome is guaranteed and past backtest performance does not guarantee live results. Zenqoras also does not connect to every broker in existence — a current compatibility list is available on the contact page, and we add new integrations on a quarterly schedule. If your broker is not yet supported, reach out and we'll tell you honestly whether it's on the roadmap. We work with traders who are serious about systematic execution and realistic about what automation can and cannot do.
“The backtesting engine is the most honest I've used. It showed me that a strategy I was convinced was profitable actually had a maximum drawdown of 34% over a two-year backtest — something I never would have survived emotionally in live trading. That discovery alone saved me from a very expensive mistake.”
Amina Wanjiru, Nairobi
Check the pricing page for a plan that matches your account size and trading frequency.
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