Quantitative Research System
ForgeQuant has entered Re-Development. The old one-time scanner package is no longer the product story Greyforge should lead with.
The rebuild keeps the valuable core: multi-gate signal qualification, macro valuation discipline, portfolio metrics, clean rejection logic, and auditable reports. The delivery model is being rebuilt before public checkout returns as the main call to action.
Re-Development Notice
ForgeQuant is being rebuilt from a passive source-package offer into a stronger research system. Treat this page as a status and proof surface until the new public offer is ready.
Status
Re-Development
Prior Kit
v0.1.0
Mode
Research infrastructure
OwnershipThe Value Is The Stock Screener, Not A Pick List
ForgeQuant is being rebuilt around the part that still matters: a working research system with a scanner engine, provider layer, quant math modules, reporting templates, setup path, and auditable source. The product should explain why a ticker did or did not survive the protocol, not sell tomorrow's ticker.
Multi-Gate Signal Protocol
A ticker must survive separate trend, timing, volatility, flow, persistence, and valuation checks before it earns attention.
Advanced Quant Features
Includes Hurst persistence, VPIN-style flow toxicity, fractional differentiation, Hilbert phase, ATR stops, and Chandelier exits.
Macro Valuation Hurdle
Higher-conviction scanner labels are checked against a 10-year Treasury plus equity-risk-premium hurdle instead of raw chart excitement.
Universe And Basket Scans
Supports TMP v15 baskets plus S&P 500 and Nasdaq-100 discovery mode when market providers are available.
Provider Resilience
Uses provider selection, local snapshots, market cache, and circuit-breaker state so data failures are handled visibly.
Auditable Research Core
The useful lineage is the scanner, math modules, provider adapters, templates, CLI, example config, docs, and setup workflow.
Why It Is DifferentBuilt To Reject Weak Setups Before They Look Convincing
Most scanners collapse dozens of signals into one score, which lets a beautiful momentum reading hide fragile fundamentals, toxic flow, or a regime that will not follow through. ForgeQuant was designed around the opposite rule: no single strength should be allowed to launder a failed condition.
The result is a research engine that is comfortable being selective. A quiet report is not a malfunction. It is the protocol refusing to manufacture conviction when the gates do not line up.
Separate gates score separate failure modes.
Only survivors get ranked into the brief.
The output explains the conditions that mattered.
Evidence SurfaceWhat The Prior Package Proved
The prior customer archive was not a thin wrapper around a chart API. It proved an isolated ForgeQuant runtime with local key handling, product-local cache state, provider fallback, report rendering, and compatibility paths. The rebuild should carry that proof into a clearer offer.
Protocol
TMP v15 default profile with v9 compatibility mode.
Universe
TMP baskets plus full S&P 500 and Nasdaq-100 discovery mode.
Math
EMA, ADX, RSI, Connors RSI, MACD, Bollinger compression, ATR, Hurst, VPIN, FFD, Hilbert.
Fundamentals
10Y Treasury plus equity-risk-premium hurdle, FCF yield checks, PEG exception for kinetic basket names.
Resilience
YFinance and Stooq providers, Wikipedia and snapshot universe sources, local cache, circuit breaker.
Delivery
HTML preview, text brief, JSON-capable scanner path, source, templates, config, and docs.
Local WorkflowFrom Raw Market Data To A Defensible Stock Watchlist
Run the packaged scanner locally in preview mode or live mode after configuring market-data keys.
Let the protocol build its universe, fetch daily market data, and apply technical, flow, persistence, and valuation checks.
Review the ranked HTML or text brief with ticker, score, regime, risk frame, stop, trailing exit, and plain-English reasoning.
Open the source when you want to audit a rule, change a threshold, add a provider, or adapt the protocol to your own research process.
Treat every output as a research candidate that still requires your independent judgment, not as a trade command.
Research BoundariesSerious Tool, Serious Caveats
ForgeQuant can help organize market research. It cannot predict the market, remove risk, or tell you what to buy or sell.
- Helps with research, not automatic trading.
- No financial advice.
- No profitable-trade guarantee.
- No guarantee that public data providers stay available or complete.
- No brokerage execution or account connection.
- No hosted signal delivery.
- No recurring subscription.
- Some technical setup is required.
Buyer FitWho This Is For
For technical investors
You want a repeatable scanner you can run, inspect, and modify instead of a feed of unexplained picks.
For builders
You want a working quant-research codebase with provider adapters, templates, and math modules already wired together.
For disciplined research
You want a tool that can say "nothing qualified today" and make that absence part of the system design.
MethodThe Method Is Explained
The ForgeQuant Chronicle documents the architecture behind the package: why the protocol uses independent gates, how those gates prevent weighted-score masking, and why the system refuses to publish performance claims that cannot be reproduced.
How ForgeQuant Works: Scanner Intelligence ExplainedPrice LogicCommercial Reset
ForgeQuant is not being led as a passive download while the product model is under review. The next public offer needs a cleaner boundary between research tooling, private buildouts, and any future hosted system before checkout returns.
ForgeQuant Re-Development
Public checkout is no longer the lead offer while the system is rebuilt.
Research Core
Preserve the useful gate logic, rejection discipline, portfolio framing, and audit output.
Delivery Model
Rebuild the offer away from a passive download and toward a cleaner research-system surface.
Commercial Boundary
No advice, no return promises, no market-data guarantee, and no implied execution service.
The old source package remains part of the product lineage, but this page now presents the current Re-Development status.