Strategy Atlas
The strategy layer, explained without giving away the private playbook
ZeroTrade turns broad quantitative strategy research into protected strategy families for crypto, Solana, selected meme workflows, gold, broker markets, replay, paper mode, and advisory AI.
Plain English
ZeroTrade does not expose a cookbook. It exposes the operating framework.
The source research is used as a map of market behaviours: trend, range, relative value, volatility, carry, macro, liquidity, machine learning, hedging, and research probes. Customers see the family, purpose, risk controls, and first safe mode. The sealed implementation remains private.
ZeroTrade uses the source material as a research map, then converts ideas into guarded families, replay tests, and risk controls.
Customers need to know the type of logic being used without seeing private implementation details or strategy code.
Every strategy family starts in demo, replay, or paper until the runtime, data, venue, and risk posture are proven.
AI, quant, sentiment, and quantum research can advise, but live authority remains deterministic and auditable.
Customer Path
Four steps are enough for a non-trader to understand the system
Pick the market
Choose crypto/Solana, gold, FX, shares, indices, or another supported workflow.
Select the family
The system chooses trend, range, rotation, macro, liquidity, or research playbooks.
Replay and paper
Run the idea against historical sessions and simulated live operation before trusting it.
Risk-core decides
Every live draft still needs spread, slippage, liquidity, drawdown, data, and license approval.
Automation Windows
Auto-trading is run through time-boxed windows, not random impulses
ZeroTrade can watch different opportunity horizons while keeping every action behind expiry, review cadence, and risk-core approval. The public product explains the posture; the private runtime holds the exact scoring and guardrails.
Fast scout
Used when the system is watching a short-lived setup and must stay selective.
Tight spread, fresh data, quick reviewIntraday tactical
A balanced intraday window for opportunities that need more time than a quick scalp.
Regime check, liquidity check, cooldown awareSession monitor
A session-level window for monitoring markets without forcing constant activity.
Thesis review, event risk, position healthDaily regime
A slower window for daily market structure and lower-noise decision review.
Drawdown throttle, macro context, no churnGuarded swing
A guarded swing window for setups that need time while still staying under review.
Thesis decay, exposure review, exit disciplineLibrary
12 strategy families, each with risk controls attached
These are not promises of profit. They are research families the runtime can classify, replay, paper-test, explain, and gate through deterministic controls before any live posture is considered.
papercrypto / gold / indices / FX
Trend and momentum
Looks for markets that are already moving with enough structure to justify attention.
How ZeroTrade uses it
Ranks continuation setups, then blocks weak entries when friction, volatility, or stale data overwhelms the edge.
Controls
fresh data / spread cap / slippage cap / volatility halt
AI role
Summarise regime and explain why the system is watching or rejecting.
papergold / FX / indices / liquid crypto
Mean reversion and range
Looks for stretched moves returning toward a fairer range, but only when the range is stable enough.
How ZeroTrade uses it
Keeps the system from chasing every breakout by allowing a calmer range playbook in replay and paper mode.
Controls
range quality / stop discipline / no averaging down / max hold time
AI role
Classify whether the market is range-like or too unstable.
replayshares / ETFs / indices / broker markets
Pairs and relative value
Compares related instruments and watches for one side drifting too far from the other.
How ZeroTrade uses it
Creates comparison signals while keeping live order authority behind broker/venue adapters and risk-core.
Controls
correlation health / spread model age / leg imbalance cap / paper validation
AI role
Explain the relationship and flag when the comparison is no longer valid.
papershares / ETFs / sectors / crypto watchlists
Multi-factor rotation
Ranks a basket using several simple factors instead of trusting one indicator.
How ZeroTrade uses it
Feeds the quant model with bounded factor scores before replay, paper, or advisory quantum probes.
Controls
factor freshness / concentration cap / rebalance cooldown / turnover penalty
AI role
Turn factor output into a plain-English briefing without inventing new signals.
papergold / indices / options-derived data / crypto
Volatility and regime
Checks whether the market is calm, unstable, compressed, or expanding before a strategy is allowed to act.
How ZeroTrade uses it
Acts as a gate and sizing input rather than a free-standing promise of profit.
Controls
volatility halt / drawdown throttle / size reduction / event calendar
AI role
Warn when market conditions do not fit the active playbook.
replaycommodities / FX / futures / fixed income
Carry and roll yield
Looks at whether holding or rolling an exposure has a structural tailwind or headwind.
How ZeroTrade uses it
Adds macro and curve context to gold, FX, commodity, and futures-style research lanes.
Controls
calendar awareness / funding assumptions / liquidity check / paper replay
AI role
Brief why carry is supportive, neutral, or dangerous.
papergold / indices / FX / shares
Macro and event
Responds to larger market context such as announcements, rates, inflation, or sector shocks.
How ZeroTrade uses it
Keeps macro context advisory and separated from deterministic execution.
Controls
event windows / spread widening guard / manual review / post-event cooldown
AI role
Summarise context and explain why the node is pausing, watching, or reducing trust.
paperSolana / meme coins / exchanges / broker markets
Liquidity and execution quality
Checks whether the venue itself is safe enough for the idea to survive execution costs.
How ZeroTrade uses it
Prevents noisy activity by blocking ideas when the route, spread, depth, or venue health is poor.
Controls
min liquidity / max spread / max slippage / idempotent orders
AI role
Explain why a trade was blocked because the venue was not good enough.
papercrypto / shares / news-driven markets / watchlists
Machine learning and sentiment
Uses model or sentiment signals as extra evidence, not as unchecked trading authority.
How ZeroTrade uses it
Routes AI and model signals through schema validation, audit-safe logging, and risk-core gates.
Controls
schema validation / prompt redaction / confidence floor / no direct live authority
AI role
Classify and explain, never bypass risk-core.
replayshares / ETFs / indices / gold
Hedging and portfolio overlay
Uses offsetting exposure or risk budgets to reduce one-sided fragility.
How ZeroTrade uses it
Provides research and operator context for risk budgets, not hidden leverage.
Controls
exposure map / gross/net limits / instrument allowlist / basis risk warning
AI role
Summarise what exposure is being reduced and what risk remains.
paperSolana / selected crypto / small accounts / paper research
Small-account selective mode
Trades less often, demands more evidence, and treats no-trade as a valid decision.
How ZeroTrade uses it
Applies tiny-wallet guardrails with hard caps on spread, slippage, position count, and averaging down.
Controls
one position / no martingale / no averaging down / dynamic no-trade
AI role
Explain why the safest action may be to wait.
researchresearch / portfolios / factor models
Quantum research probe
Prepares advisory portfolio or factor probes for optional quantum-computing research.
How ZeroTrade uses it
Turns sanitized factor vectors into advisory-only IonQ-compatible jobs outside live execution.
Controls
sanitized payload / prepared-only default / no secrets / no live authority
AI role
Interpret results as research context, not as order approval.