The institutional Trader Performance Intelligence stack — for retail traders.

Retail traders don't lack signals — they lack feedback. The signals industry sells lottery tickets: opaque indicators, untracked outcomes, no behavioral feedback, no risk gates. A winning trade and a lucky one are indistinguishable; a losing trade and a disciplined one are indistinguishable. Meanwhile institutional desks score every trade as a structured decision event — behavior labelled, risk gated, edge attributed. That feedback loop stays locked inside hedge funds.

AlgoSphere Quant is the institutional Trader Performance Intelligence stack for retail traders. Every trade — human-executed or engine-executed — is a structured behavioral event with required Strategy + Psychology context. 19 deterministic metrics (revenge, tilt, FOMO, confidence drift, recency bias, strategy hopping, resilience, patience, rule adherence, self-control, risk discipline, …) collapse into one institutional verdict: the Trading Maturity Index — Beginner · Developing · Competent · Advanced · Elite. An always-on AI Coach names the top weaknesses and prescribes specific fixes. Pure math; no LLM dependency. Signals exist but are a feature, not the lead.

• •Behavioral Engine V2 — 19 deterministic metrics including confidence drift, tilt, recency bias, strategy hopping, resilience, patience, rule adherence, self-control, risk discipline, and the Trading Maturity Index
• •AI Coach (deterministic narrative) — ranked strengths, weaknesses, top-3 templated recommendations keyed to the worst axis. Free, always-on, reproducible.
• •Two-Mode Trade Journal (V4) — distinct lifecycles for human-executed (teaches about the trader) vs engine-executed (teaches about the strategy)
• •Decision Intelligence OS — 5 consolidated hubs (Capital Flows · Sentiment · Structure · Momentum · Market Pulse). Redis-cached; multi-source provider chains.
• •Strategy Lab — visual Quant Builder · realistic-cost Backtester · Monte Carlo with sample-size confidence · Optimization Center · 6-stage Deployment Readiness ladder
• •15-gate institutional risk — two-layer (strategy + capital), drawdown / kill switch / cooldowns / correlation / news shield. Overrides every signal.
• •Multi-broker execution — Binance · Bybit · OKX · MT5 via dedicated VPS bridge. AES-256 encrypted per-user vault; broker-truth reconciler enriches every closed trade.
• •Media Engine V3 + content factory — 45+ asset kinds across 9 producer modules. ffmpeg + PIL pipeline emits 1080×1920 vertical reels, branded cards, infographics, carousels, blogs, PDFs.
• •Multi-channel distribution — Telegram + Discord live; Instagram automated via Graph API; Meta + LinkedIn adapters wired; public /api/v1/decision surface
• •Crypto-only billing — USDT-TRC20 + BTC/ETH + Binance Pay with admin approval

Four-service production architecture (Vercel web · Railway engine · Railway asset-worker · Windows VPS MT5 bridge · Supabase). The codebase is auditable.

• EngineeringFour-service production stack live: Vercel web · Railway engine · Railway asset-worker · Windows VPS MT5 bridge · Supabase. Observable health, automated retries, mirror-trigger audit trail.
• ContentMedia Engine V3 producing 45+ asset kinds. 13,000+ items generated lifetime; 300+ published. Distribution live to Telegram + Discord + Instagram.
• BrokersPaper-trading live. MT5 multi-tenant bridge operational on dedicated VPS. Binance · Bybit · OKX adapters built + encrypted-vault gated.
• UsersPre-launch. Public funnels (live feed + investor brief + share cards) shipped; Maturity-Index onboarding ready.
• RevenueCrypto rails wired; tier definitions + admin approval flow shipped. Pre-revenue — first paid signups expected this launch window.
• RunwayLimited. Cloud costs (Vercel, Railway×2, Contabo VPS, Supabase, data providers) eat into a small personal budget.

No invented traction. The story is: hard engineering is done, distribution is wired, content is shipping daily; the next 60–90 days are user acquisition + monetization with extended runway.

• • Multi-service runway — operate Vercel + Railway×2 + Contabo VPS + Supabase + data providers through user onboarding and paid-tier conversion. Unit economics improve sharply at first revenue.
• • Data tier upgrades — full forex + multi-TF confirmation across the Decision Intelligence engines; higher TwelveData / Finnhub / Alpha Vantage / on-chain quotas.
• • Audited execution go-live — staged validation of the opt-in FULL_AUTOTRADE arming model before any real-money fan-out. Two-layer risk + kill switch already enforce; we add an external audit pass.
• • Distribution acceleration — content engine produces, but algorithmic invisibility caps reach. Paid amplification + influencer partnerships convert the existing factory output into Maturity-Index sign-ups.

The retail trading product space is loud and shallow. AlgoSphere is the opposite — quiet, deeply engineered, institutional by construction. One person shipped the full stack: multi-provider data, decision engines, two-layer 15-gate risk, Behavioral Engine V2, Trading Maturity Index, AI Coach, Two-Mode V4 Journal, Strategy Lab with Deployment Readiness ladder, Decision Intelligence OS, Media Engine V3 content factory, multi-broker execution (incl. dedicated MT5 VPS bridge), crypto payment rails, public APIs. That same person is asking for the runway to put it in users' hands.

If you back early-stage technical founders or you want to be the first believer in something institutional-grade built without a team, email the founder directly. Cheque size doesn't matter as much as belief and reach. SAFEs, rolling angel funds, grants, and revenue-share are all open.