ZenTrader helps systematic traders prove, audit, and improve their strategy before scaling real capital β with rule adherence, broker reconciliation, paper-to-live readiness, and non-enforcing governance diagnostics.
Not a signal seller. Not copy trading. Not investment advice. ZenTrader turns your own trades, rules, broker state, and diagnostics into evidence you can inspect.
Rule Adherence
See whether your trades followed the process you claimed you were running.
Paper-to-Live
Compare paper evidence, benchmarks, exits, and readiness before scaling exposure.
Observe / Shadow
Inspect governance observations before they affect any later gated workflow.
Who ZenTrader is for
Systematic traders who need to prove their process with their own data.
Paper-to-live traders who want readiness evidence before scaling exposure.
Crypto and equity traders who care about broker sync, benchmarks, and DACH-aware records.
Operators who want rule adherence, diagnostics, and an audit trail instead of another black-box signal feed.
Who ZenTrader is not for
Not for guaranteed-profit expectations or return promises.
Not copy trading, signal rental, or a black-box entries product.
Not a broker, custodian, portfolio manager, or investment adviser.
Not autonomous live execution without review; governance diagnostics are non-enforcing unless a later gated workflow is explicitly enabled.
The Evidence Loop
Evidence tells you whether your process is improving. ZenTrader connects the journal, broker state, rules, benchmarks, exits, and readiness checks into one repeatable loop.
01
Bring broker fills and paper decisions into the same journal.
02
See whether trades matched your stated setup, sizing, and exit rules.
03
Measure against relevant crypto, equity, or random-entry baselines.
04
Review MFE/MAE, execution cost, rejected ideas, and decision feedback.
05
Use paper-to-live thresholds to decide what deserves more capital.
Governance Layer
ZenTrader surfaces observe/shadow decisions, diagnostics, approval context, and audit notes. These diagnostics are non-enforcing unless a later workflow is explicitly enabled and reviewed.
Broker Reconciliation
ZenTrader compares internal journal state against broker balances, fills, open orders, stale syncs, dust, and missing records so evidence is not built on stale assumptions.
Plans / Founding Trader
Free / Early Access explores the demo. Scout builds the evidence loop. Operator adds approval and readiness. Desk adds governance diagnostics and audit archive. Founding Traders get personal onboarding and early pricing without return promises.
Paper-only exploration, demo access, waitlist, and product feedback.
Evidence basics: rule adherence, benchmark, decision feedback, paper performance.
Approval workflow, readiness threshold, edge attribution, strategy versions.
Reconciliation status, shadow observations, alerts, audit trail, broker health.
Limited early group with onboarding, tight feedback loop, and discounted lifetime pricing.
Legal / trust boundary
ZenTrader is software infrastructure for evidence, governance diagnostics, broker reconciliation, and auditability. It is not investment advice, not a broker, not custody, and not a return promise. All trading and scaling decisions remain with the operator.
Evidence stack
MFE/MAE turns every closed trade into exit evidence: how far price moved in your favor, how far it moved against you, and whether your exit behavior is improving over time.
Compare strategy outcomes against matching buy-and-hold baselines: BTC/ETH for crypto, SPY/DAX for US and EU equities. It separates real process evidence from market beta.
ZenTrader is not a tax advisor or filing product. It keeps broker-synced, audit-friendly trade records structured for future DACH export workflows.
Crypto holding periods and taxable DE equity sales stay visible as evidence; final tax treatment remains a later export/accountant workflow.
Win rate, worst trade, best setup, benchmark drift, and rule-adherence signals are packaged into a review loop instead of disappearing into a dashboard you forget to open.
Real research universe
ZenTrader tracks one evidence loop across crypto, US equities, EU equities and ETFs: broker state, paper outcomes, benchmarks, and readiness context in one workspace. Not every instrument is executable everywhere; the research surface still stays unified.
116
NASDAQ- und S&P-Namen plus ausgewΓ€hlte Mid-/Small-Caps ΓΌber das Alpaca-Paper-Universum.
28
DAX-, CAC- und AEX-Titel mit Yahoo-Daten und IBKR-Paper-Routing-Kontext.
24/7
Kraken-EUR-Krypto, US-Index-ETFs und Sektor-ETFs bleiben Teil desselben Evidence-Loops.
Der Scope ist broker-bewusst: nicht jedes Asset ist bei jedem Broker ausfΓΌhrbar, aber Analyse, Benchmarking und Risiko-Kontext bleiben in einem Workspace sichtbar.
Supported Brokers
| Broker | Asset Class | Sync Method | Status |
|---|---|---|---|
| Interactive Brokers | EU Equities Β· US Equities Β· ETFs | IB Gateway API | API Sync |
| Alpaca | US Equities Β· ETFs | REST API Β· Paper trading | API Sync |
| Kraken | Crypto Β· EUR pairs | REST API Β· WebSocket | API Sync |
| Binance Β· Coinbase | Crypto | CSV Import | CSV |
| Any broker | All asset classes | Standardised CSV format | CSV |
Competitive position
| Tool | Trade Journal | MFE/MAE | Crypto + Equity Benchmarks | DACH Records | Weekly Email | Preis |
|---|---|---|---|---|---|---|
| CoinTracking | β | β | β | β | β | β¬299β999/Jahr |
| Blockpit | β | β | β | β | β | β¬119β599/Jahr |
| Koinly | β | β | β | β | β | β¬49β99/Jahr |
| TraderSync | β | β | β | β | β | $30β80/mo |
| EdgeWonk | β | β | β | β | β | β¬49/mo |
| Tradervue | β | β | β | β | β | $30β50/mo |
| Journalytix | β | β | β | β | β | $30/mo |
| ZenTrader | β | β | β | Prepared | β | β¬49/mo |
ZenTrader is not a tax filing suite, signal seller, broker, or return promise. Its advantage is the evidence layer: journal + exit quality + benchmark context + broker-aware records + weekly review.
Enterprise & Fintech Teams
Risk managers, compliance officers, and fintech teams use ZenTrader to impose structure on discretionary trading activity: evidence trails, approval gates, broker reconciliation, and VaR/ES risk reporting in one audit-ready workspace.
Risk Β· VaR / ES
Diversification benefit, correlation matrix, drawdown attribution β all in a single risk report.
Governance Β· Approval Gates
Operator scorecard, downloadable approval tickets, and a full audit trail of every gate decision.
Compliance Β· Audit Trail
Monthly evidence review, broker reconciliation sheets, and ruleset version history for regulatory review.
Reconciliation Β· Broker Control
IBKR, Alpaca, Kraken API sync. Dust handling, exception register, and delta visibility in one panel.
Why operators want it
ZenTrader is not sold as a magic entry button or signal feed. It is a private operating layer that turns market hypotheses, paper outcomes, broker state, and AI review into one repeatable evidence loop.
Control
Execution gates, paper-first evidence, broker reconciliation, and explicit approval paths make the system valuable even when it refuses a trade.
Compounding learning
Long, short, hedge, rejection, dust, and reconciliation events become structured context instead of forgotten screenshots and chat notes.
Ownership
ZenTrader is built for private deployment, local memory, and operator-owned research context instead of rented black-box conviction.
The honest USP
Most trading bots optimize for confidence. ZenTrader optimizes for controlled doubt: it tracks why a hypothesis exists, whether the broker state agrees, whether the data is clean, and whether a workflow has earned permission to scale.
Broker truth
ZenTrader compares journal state with Kraken/Alpaca state, handles dust explicitly, and flags readiness risk when reconciliation is not clean.
Quality gates
Missing PnL, broker mismatches, duplicate imports, weak cohorts, and stale R metrics are treated as blockers or reduction events, not ignored warnings.
Private memory
Research notes, trade context, regime labels, and outcomes become structured local memory instead of disposable chat output.
No hype
ZenTrader is built to expose weak strategies early. Long/short cohorts stay separated, so bad regimes cannot quietly poison training.
ZenTrader is designed for operators who treat research context, execution logic, and inference privacy as core assets rather than optional conveniences.
Sovereign AI
ZenTrader can run private inference and structured memory on your own infrastructure. The platform is built around operator-owned context, not shared cloud signal extraction.
Private Context. Local Memory. Operator Control.
Cognitive Memory Architecture
Every cycle can store regime, rationale, selected trades, rejected ideas, broker status, and performance diagnostics. The goal is explainable iteration, not black-box automation.
Traceable Decisions. Safer Iteration.