Epotech builds disciplined, capital-preserving trading infrastructure across traditional and digital markets — from crypto and equities to emerging ecosystems like Bittensor. We prioritize drawdown control, position sizing, and volatility-aware execution so you survive the market before you scale.
Markets we cover
Crypto never sleeps. We build systems that handle round-the-clock volatility, exchange fragmentation, and sudden liquidity gaps — with strict position limits and volatility filters.
Equity markets reward discipline around sessions, earnings events, and sector rotation. Our engines respect market hours, gap risk, and correlation across holdings.
Forex moves on macro data, central bank policy, and session overlaps. We size positions around news releases and adjust exposure when correlation clusters spike.
Commodities react to supply shocks, weather, and macro cycles. Our models account for contango, roll costs, and sudden geopolitical repricing.
Derivatives amplify both edge and risk. We enforce leverage caps, margin buffers, and Greeks-aware limits so one bad leg can't blow up the book.
Bittensor and TAO sit at the intersection of crypto volatility and subnet-specific dynamics. We combine on-chain staking flows, subnet emissions, and TAO price action into unified risk models.
Modern markets move fast — crypto, equities, forex, and emerging networks like Bittensor each carry unique volatility and structure. Epotech exists to navigate all of them with engineering rigor and institutional-grade risk discipline.
We design systems that decide when to enter, exit, reduce, hold, or stay out — always with capital protection as the first constraint, not an afterthought.
End-to-end trading capabilities for any asset class — with deep expertise in high-volatility and emerging markets.
Signal evaluation layered with stop-loss discipline, volatility filters, and position sizing — returning clear actions: enter, exit, reduce, hold, or stay flat.
Continuous assessment of account drawdown, exposure limits, and market regime shifts. Automated guardrails when conditions turn dangerous.
Rigorous historical analysis on OHLCV data with realistic slippage and fee assumptions. Validate edge before deploying capital.
Macro regime analysis, on-chain flows, and sector-specific research — including dedicated coverage of Bittensor subnets, staking dynamics, and TAO microstructure.
Every system we ship follows a strict priority hierarchy — because surviving drawdowns is prerequisite to compounding returns.
Hard limits on per-trade risk and total exposure. No single decision can threaten the account.
Automatic de-risking when equity curves deteriorate beyond configured thresholds.
Predefined exit levels enforced by the engine — not overridden by emotion or hope.
Volatility-adjusted sizing that scales down in turbulent markets and up only when conditions permit.
Filters that keep the system flat during extreme price swings and abnormal volume spikes.
Cooldown periods and trade frequency caps to prevent churning fees and whipsaw losses.
Tell us about your goals — whether you're building a bot, managing a multi-asset portfolio, or exploring strategies in crypto, traditional markets, or Bittensor. We'll find the right starting point.
hello@epotech.orgdef evaluate_trade(candles, balance, position, config):
# Risk-first decision
if volatility_too_high(candles):
return {"action": "STAY_OUT"}
if drawdown_exceeded(balance, config):
return {"action": "REDUCE"}
return sized_entry(candles, config)