I created this page to give a more comprehensive display of my skills and what I am learning and doing in the tech industry and in life. If you are here as a result of reading my resume, welcome!
I have always existed at the cross section of soul and technology. I have always been passionate about new things and learning. This was a gift that was passed down to me from my father, who worked as a Sr Engineer at IBM since the 70's and is now a reverend. I got to experience the personal computer revolution that Steve Jobs and so many others brought us, first hand because of that. He always brought home the latest cutting-edge technologies before they went to market and I was able to play with them for fun, which gave me a head start into the world of technology, it made me a native before this digital land was even built and I have always existed almost primarily in it. That guidance and experience has provided me with a forward-looking perspective that has enabled me to have a long, rewarding career that I remain passionate about to this day. Even now at the age of 51, I could not be more excited and hopeful about the world to come and I try my best to keep my eyes on it and help bring us all there together, in my own ways. Some call me an optimist, some call me a dreamer, but in the words of John Lennon — "I know I'm not the only one."
What Drives Me
Important Things
Being Creative
Putting things together, even when it doesn't make sense to or you're told not to do it, can lead to the most rewarding experiences and outcomes.
Life Learning
The goal in life I feel should be to never stop learning and improving. It keeps you sharp and honestly, what's the point if you're not always growing?
Keeping Balance
As the world speeds up, don't forget to slow down. Taking a walk, hiking a mountain, balancing some rocks or just breathing can make all the difference.
Career Specialties
Skills
We are all works in progress. Right now, these are the areas in which I have experienced the most. Don't have to believe me, take ChatGPT and Claude's word for it.
85%Networking
75%CyberSecurity
80%Virtualization
70%Cloud
88%Systems Engineering
65%Blockchain
75%Artificial Intelligence
Verified Knowledge
Achievements
Tinker Town
Labs, Projects & Resources
Namkuzu-da OS
namkuzu-da
Shell
AI-native operating system — Claude Code brain, voice control, 8 automated pipelines, 4-monitor workstation.
Directory-as-agent system — cd into a folder and Claude assumes that division's role. Multi-tier CLAUDE.md hierarchy, skill registries, rule inheritance.
Living Thesis Pipeline
Shell
YouTube transcript → Claude extraction → structured knowledge base. Automated prompt-chaining pipeline for continuous learning.
Trading Ecosystem
trade-signal-backend
JavaScript
Algorithmic trading engine — 15+ strategies, Claude AI integration, paper trading & alerts.
Operating comfortably at architecture level. Not just configuring — thinking structurally.
SonicWall firewall configuration and management
VLAN design and network segmentation strategy
DNS architecture including Synology as backup DNS
MSP multi-site network awareness
Packet inspection concepts
Security-first network design philosophy
CyberSecurity
75% — Strong Defensive Mindset
Consistently thinking in terms of attack surface and defense. Strong blue-team architecture brain.
2FA enforcement across M365 and Authenticator
Firewall upgrades for security posture improvement
Vulnerability scanning VM architecture
SIEM implementation and discussion
Zero-cloud AI inference for data control
Incident response mindset — dealt with real attacks
Virtualization
80% — Infrastructure Fluent
Understanding virtualization as infrastructure, not just lab usage.
Hyper-V including performance troubleshooting
Linux VM deployment and management
Synology VM environments
Multi-GPU LLM servers in Docker
Cross-platform Mac/Windows virtualization needs
Cloud
70% — Hybrid-Heavy Strength
Leaning hybrid/on-prem secure architecture more than pure cloud-native SaaS engineering.
Microsoft 365 tenant management
Entra integration concepts
Multi-tenant management strategy
Authentication models and identity sync
Hybrid cloud architecture planning
Systems Engineering
88% — Core Competency
This is not IT support. This is infrastructure systems engineering. 25+ years of cross-platform systems work.
Windows, macOS, and Linux administration
DNS and domain consolidation planning
Infrastructure modernization strategy
RAID decisions and storage architecture
Identity architecture and access management
Automation mindset across all platforms
Blockchain
65% — Investor + Systems Awareness
Understanding the ecosystem at a structural and capital allocation level.
What a blockchain is (distributed ledger, consensus, immutability)
Difference between Bitcoin-style monetary chains and smart contract platforms
Market cycles and volatility mechanics
Token economics at a macro level
Layer 1 vs Layer 2 concepts
Custody risks (self-custody vs exchange risk)
Why decentralization matters (and where it's overstated)
Artificial Intelligence
75% — Builder + Deployer
Not just using AI — deploying it on infrastructure, building with it, and thinking about where it's going.
LLM deployment on local infrastructure
Multi-GPU server builds for AI inference
AI-assisted automation and workflow design
Secure on-prem AI for data sovereignty
Strategic understanding of the AI landscape
Schwab API
Data Source
The primary external data feed powering the entire trading ecosystem. Provides real-time and historical market data across multiple asset classes.
Real-time price data for stocks, ETFs, and options
Historical OHLCV data for backtesting strategies
Options chains with Greeks, IV, and open interest
Account and position data for portfolio tracking
Feeds into → DATA hub, Options-CalcExternal Service
Scout-Win
Intelligence Gathering
Automated market reconnaissance system that scrapes multiple sources and generates a structured intelligence dashboard for daily trading decisions.
Scrapes X/Twitter for market sentiment and breaking news
Monitors YouTube for analyst commentary and trade ideas
Aggregates RSS feeds from financial news sources
Generates a consolidated dashboard (dash.html) for morning prep
Feeds into → DATA hub, Trading PrepPrivate Repository
DATA
Central Hub — The Backbone
The shared data backbone that every other tool in the ecosystem queries. Collects, processes, and stores market data from multiple sources, then exposes it via REST API.
Tracks 33 symbols across ETFs and individual stocks
Stores price data, IV/HV, VIX, and volume in SQLite
Processes RSS feeds and YouTube content metadata
REST API (port 3000/3443) for all downstream tools
Matrix-style web interface for direct data exploration
Every tool in the ecosystem connects herePrivate Repository
Signal Engine
trade-signal-backend — Algorithmic Core
The algorithmic trading engine at the heart of the platform. Runs 15+ strategies with multi-timeframe analysis and Claude AI integration for intelligent trade vetting.
15+ strategies: ORB, Golden Setup, VWAP Reversion, Mean Reversion, and more
Multi-timeframe analysis across intraday and swing periods
Claude AI integration for trade veto and learning loop
Paper trading with realistic slippage modeling
Real-time alerts via SSE, Discord, and Telegram
SQLite backend with 40+ tables tracking strategy performance
Queries ← DATA hub | Outputs → Wingman, AlertsPrivate Repository
Wingman
AI-Assisted Trading Workstation
The comprehensive trading dashboard and daily command center. Combines all strategies, analysis tools, and market data into a single AI-assisted workstation.
Full web dashboard with strategy views and daily workflows
VWAP + Divergence integrated trading system
Built-in backtesting tools for strategy validation
Earnings scanner for upcoming catalysts
Daily workflow pages for structured pre-market and EOD routines
Queries ← DATA hub, Signal EnginePrivate Repository
Options-Calc
Gamma Exposure Analysis
Schwab Trading Dashboard focused on gamma exposure (GEX) analysis. Shows where market makers are positioned and where price is likely to pin, reverse, or accelerate.
Dealer positioning and gamma exposure visualization
Call/put walls and gamma flip level detection
0DTE expected move calculations
AI-powered (Claude) trade setup suggestions
Real-time data streaming from Schwab API + Yahoo
Queries ← DATA hub, Schwab APIPrivate Repository
Divergence Scanner
Inter-Market Analysis
Real-time scanner that detects relative strength shifts, correlation breakdowns, and sector rotation signals across markets. Catches moves before they become obvious.
Automated pre-market and end-of-day research report generator. Uses Claude Code to synthesize market data, signals, and intelligence into actionable daily briefs.
Automated pre-market morning research reports
End-of-day recap and performance analysis
Powered by Claude Code with custom prompt templates
A custom AI-powered computing environment built on Ubuntu 24.04 LTS with Claude Code as the orchestration brain. Designed for accessibility (hands-free operation) with voice control, automated pipelines, and agentic AI driving every workflow.
Claude Code as system brain — xdotool, wmctrl, scrot for desktop control
4-monitor workstation with night/day display modes
Custom systemd services, shell toolbox, and Chrome extensions
Synology NAS nightly backups with email alerts
Private Repository
Voice Input
Speech → Transcription → Claude
Hands-free voice input layer. Spoken commands are captured by the microphone, transcribed in real-time using CUDA-accelerated Whisper, and fed directly into Claude Code for processing and action.
WM-Voice — Faster-Whisper (large-v3-turbo) + Silero VAD
Whisper Writer — hotkey dictation to any application via Insert key
RTX 3070 Ti CUDA acceleration for real-time transcription
Accessibility-first — designed for hands-free operation
Voice output via Kokoro TTS feeds back through System Control
Private Repository
Market Data
APIs · RSS · Economic Data
The raw data pipeline feeding the brain. Market quotes, news feeds, and economic indicators flow in on automated schedules — 26 RSS feeds, Schwab broker API, and FRED economic data.
Schwab API proxy at 192.168.10.60 — real-time quotes & technicals
Collected automatically by cron at 4:30 AM Mon–Fri
Feeds Morning Briefs, Eagle Eye & Trading Prep
Web & Research
YouTube · Browser · Inbox
Web content and research inputs that feed the knowledge system. YouTube transcripts, browser research, and inbox files are routed through Claude for extraction, analysis, and integration.
Living Thesis Chrome extension — one-click YouTube transcript capture
Native messaging bridge from browser → Claude Code
Inbox file processing via /inbox skill
Web research amplification via /enhance skill
Polymarket prediction data via /predict skill
Feeds Knowledge Base & Research Pipeline
Terminal Stack
GPU-Accelerated Development Environment
A modern, GPU-accelerated terminal environment optimized for AI-assisted development. Multiple panes for Claude Code, file management, and shell access.
Wezterm — GPU-accelerated terminal with Tokyo Night theme
Zellij — terminal multiplexer with dev.kdl layout
Starship — cross-shell prompt with git integration
Yazi — terminal file manager with previews
Modern CLI: eza, bat, fzf, zoxide, fd, ripgrep
Core Development Interface
Display System
4-Monitor Workstation
A multi-monitor command center managed via xrandr with automated display modes for extended trading and development sessions.
Primary: 1440p center (DP-0) — main workspace
Top: 1440p (HDMI-0) — video and night mode display
Sides: dual 1080p portrait (DP-3, DP-5)
Night mode: reduced brightness + amber gamma tint
Day mode: full brightness + normal gamma
Custom xrandr + Gamma Scripts
Published Intelligence
8 Automated Cron Jobs → Live Reports
The brain's primary output. Market data flows in, Claude Opus analyzes it, writes institutional-quality reports, and publishes them to the web — all autonomously on schedule, zero human intervention.
4:30 AM — Morning Brief: 26 RSS feeds + Schwab API → Claude analysis → HTML publish
4:30 AM — Trading Prep: pre-market structure analysis
5:00 AM — Auto-inject into BigPic Capital daily notes
4:00 PM Sun — Eagle Eye: weekly macro cycle report
5:00 PM Sun — Auto-inject weekly notes
Every 15 min — Google Drive sync + GPU health monitoring
Zero-Touch Daily Operations
Knowledge System
Living Thesis · Research Synthesis
An automated knowledge management pipeline. One-click YouTube transcript extraction flows through Claude-powered analysis into a structured, evolving knowledge base.
Living Thesis Chrome extension — one-click YouTube → knowledge base
Zero-prompt automation — fully hands-off after click
Browser → Claude → Knowledge Base
System Services
Backup · Bluetooth · GPU Monitoring
Custom systemd services and automation scripts that keep the workstation running reliably. Nightly backups, auto-connecting peripherals, and hardware monitoring.
Nightly rsync backup to Synology NAS with email alerts on failure
Bluetooth auto-switch — D-Bus monitoring for A2DP headset connect
GPU health monitor — RTX 3070 Ti temp/utilization logged every 15 min
Google Drive mount via rclone (full VFS cache, 720h retention)
Realtek BT adapter fix — modprobe reload at boot
Systemd + Custom Shell Toolbox
System Control
Voice TTS · Desktop · Display
The brain's physical output layer. Claude controls the workstation — speaking responses via Kokoro TTS, manipulating windows and applications, and managing the 4-monitor display environment.
Kokoro TTS — Claude speaks responses aloud via Docker container
xdotool + wmctrl — window management and keyboard automation
scrot — screenshot capture for visual context
4-monitor xrandr control with night/day gamma modes
Systemd services: backup, Bluetooth auto-switch, GPU monitoring
Synology NAS nightly rsync with email alerts on failure
Brain → Physical World
Cloud & Network
Google Drive · LAN APIs · Scanner Infrastructure
The distributed data layer. Google Drive mounts via rclone feed all three BigPic divisions into the brain, while local network APIs serve real-time market and scanner data from dedicated machines.
rclone — 2 Google Drive mounts (BigPic Capital & Technology)
Options API — GEX analysis, dealer positioning (dedicated LAN server)
Intel API — market intelligence aggregation (dedicated LAN server)
Scanner API — divergence & momentum scanning (secondary LAN node)
Synology NAS — nightly rsync backup with failure alerts
Cloud + LAN → Brain
Alerts & Delivery
Email · Google Drive · Automated Notifications
The outbound delivery system. Automated pipelines push finished intelligence products to email, save reports to Google Drive for team access, and trigger notifications when critical market events fire.
msmtp — sends automated reports to daryll@bigpicsolutions.com
Google Drive export — morning briefs, EOD summaries, research saved to shared folders
A multi-tier system where Google Drive directories become autonomous AI-managed business units. Each directory has a CLAUDE.md that auto-loads context — cd into a folder and Claude assumes that division's role. An orchestrator layer coordinates across divisions with rule inheritance, skill registries, and shared infrastructure.
Multi-tier CLAUDE.md hierarchy — root orchestrator inherits rules to all divisions
Experimental agent teams for multi-agent workflows
Filesystem as Org Chart
Living Thesis Pipeline
Knowledge Management Automation
A two-stage Claude Code pipeline that takes unstructured video content and integrates it into a structured research corpus. Stage 1 downloads YouTube transcripts and extracts key claims. Stage 2 incorporates extracted claims into a topic-organized knowledge base.
YouTube transcript download and validation
Claude-powered key claims extraction (Stage 1)
Structured knowledge base integration (Stage 2)
Topic-organized research corpus with cross-references
Error handling, cleanup traps, and logging
Feeds the morning brief and research report pipelines
Unstructured → Structured Knowledge
Buyback Blackout Analyzer
Quantitative Analysis
Identifies trading opportunities during corporate buyback blackout periods — windows when companies halt share repurchases before earnings, creating predictable price patterns.
Analyzes historical price data during blackout windows
Detects predictable patterns when large buyback programs pause
Quantifies edge from reduced institutional buying pressure
A public-facing GitHub Pages site serving a market intelligence dashboard with a cosmic visual theme. Displays curated research and market data for external consumption.
Lightweight monitoring dashboard that watches the health and uptime of all trading platform services. Ensures the ecosystem stays operational during market hours.
Service health checks across the platform
Real-time status and uptime tracking
Node.js/TypeScript backend
Private Repository
MrCrabs
Investment Research Dashboard
A single-page investment research dashboard displaying real-time market sentiment, metrics, and research signals. Named with the right energy for the mission.
Market sentiment cards for equities, crypto, liquidity, macro
Structured research data and signal tracking
YAML-based master plan with real-time market signals
A Python engine that aggregates 11 independent data sources and produces confluence-scored price levels ranked by institutional significance. Outputs structured JSON for downstream AI agents (HERMES) and markdown for human review.
11 data sources: gamma levels, open interest, VWAP, pivot points, SMA, swing points, gap fills, volume profile, round numbers, Fibonacci, Gann Square of Nine
Weighted scoring algorithm — each source contributes independently
Gann Square of Nine component validated at z=+9.51 against 33 years of data
JSON output feeds HERMES trading execution agent
Real-time Schwab API integration for live market data
Private Repository11 Sources → 1 Truth
Convergence Scoring Engine
Quantitative Capital Deployment
A 7-dimension scoring system that replaces subjective gut-feel with multi-factor scoring for capital deployment decisions. Each dimension draws from independent data sources to avoid double-counting signals.
Source independence enforcement — no signal counted twice
Strategy library with verified win rates and sample sizes
Portfolio phase management (Hyper-Growth through Income)
Deployment rules with numerical thresholds
Private RepositoryDecision Science, Not Gut Feel
Prediction Market Scanner
Polymarket AI Analysis Pipeline
An async Python system that scans Polymarket for trading opportunities. Tracks whale wallets, gathers news sentiment, calculates signal confluence, and feeds everything to Claude AI for probability estimation. Only high-confidence alerts reach Telegram.
Polymarket Gamma API integration — real-time prediction market probabilities
Whale wallet tracking — large position changes as leading indicators
News sentiment aggregation and enrichment
Claude AI probability estimation with confidence scoring
SQLite persistence and prompt/response artifact logging
Private RepositoryCrowd Wisdom → Trading Edge
BigPic Solutions
Research & Development
An AI-native R&D company powered by agentic systems — Claude AI agents, custom skill frameworks, and automated pipelines drive every division. Three operating units span investment operations, IT consulting, and autonomous fleet management.
BigPic Capital — AI-powered investment research & trading
BigPic Technology — IT consulting & security services
BigPic CyberCab — autonomous vehicle fleet (in development)
Agentic AI across all divisions — 20+ custom Claude skills, automated workflows, and AI-driven decision support
An AI-native investment operating system that replicates a full institutional team — research, macro strategy, quant analysis, risk management, and trading execution — with AI agents and automated pipelines.
HERMES trading execution agent with verified strategy library
TERMINUS price level engine aggregating 11 data sources
Wingman market intelligence with real-time scanner APIs
9 completed sector investment theses with interactive reports
Remote IT consulting and automation services specializing in AI-augmented infrastructure, cloud advisory, and productized security assessments for the SMB market.
A venture focused on autonomous vehicle fleet ownership. Building financial models and operational plans for Tesla CyberCab fleet deployment on the autonomous ride-hailing network.
Unit economics modeling across utilization scenarios
Revenue projections: $36K–$78K gross per vehicle per year
Phased deployment: research → first vehicle → fleet scaling
Currently in Research & Planning Phase
Trading Systems
HERMES · TERMINUS · Strategies
The execution layer of BigPic Capital. HERMES is the trading agent with a comprehensive methodology, TERMINUS identifies price levels from 11 sources, and the strategy library holds backtested edges.
HERMES — 83K-word trading methodology with execution rules
Mean Reversion v4: 81.2% win rate over 203 trades (10yr backtest)
Buyback Blackout: 77% win rate, verified across 106 events
7-dimension Convergence scoring engine for capital deployment
Internal Operations
Market Intelligence
Wingman · Scanners · APIs
Real-time market intelligence infrastructure. Wingman provides session-aware market analysis while remote scanner APIs deliver live options flow, gamma data, and sentiment fusion scores.
Wingman — living market regime tracking and trading rules
Options API — real-time quotes, gamma, IV, flow analysis
Intel API — market outlook, sentiment scores, trade journal
15 Claude AI skills for session workflow automation
Internal Operations
Research & Publishing
Sector Theses · Reports · Briefs
A complete research pipeline producing institutional-quality investment research across 9 high-growth sectors, weekly macro reports, and daily pre-market intelligence briefs.
A productized network security assessment platform targeting the SMB market gap between basic scanning and enterprise pentest firms. Fully automated multi-phase engagements with compliance-mapped reporting.
Service tiers: External ($2.5K), Internal ($5K), Comprehensive ($10K+)
Financial modeling for the CyberCab fleet venture. Revenue projections, cost analysis, and ROI scenarios across utilization rates, fare structures, and market conditions.
Vehicle cost under $30K with 75/25 owner/Tesla revenue split
A production invoicing system built for BigPic Technology's consulting business. Manages clients, generates branded PDF invoices with QR payment links, and tracks the sales pipeline from lead to payment.
Flask backend with SQLite persistence
Stripe integration for payment processing
ReportLab PDF generation with branded templates
QR code payment links on each invoice
Client management and job tracking
Lead pipeline and CSV export
Private RepositoryReal Business, Real Tool
Cyber Defense Command Center
Distributed Security Platform
A full-stack cybersecurity monitoring platform with distributed scanning agents, a secure REST API, and a real-time visualization dashboard. Built to continuously monitor network infrastructure and detect vulnerabilities.
TLS encryption, 3-tier rate limiting, CORS whitelisting
Input validation via Joi schemas, audit logging
CIDR network discovery and host enumeration
Private RepositorySee Everything. Miss Nothing.
Pentester Platform
Automated Security Assessment Suite
A 4-tool CLI suite that orchestrates multi-phase network security assessments, classifies findings by CVSS/CWE severity, generates compliance-mapped reports, and automates remediation. Built on Kali Linux for professional engagements.
bigpic-engage — client onboarding, scope definition, rules of engagement
bigpic-scan — orchestrated scanning via Nmap, Masscan, Nuclei, Nikto
A collection of 8 hand-written Python offensive security tools built from scratch. Each tool demonstrates fundamental understanding of networking, cryptography, and system exploitation — the practical skills behind the pentesting platform.
Port Scanner — TCP/UDP port enumeration with service detection
Network Scanner — CIDR host discovery and ARP scanning
SSH Brute Forcer — dictionary attack with threading
A hands-free Linux voice assistant that lets you speak commands and hear Claude's responses. Push-to-talk interface powered by cutting-edge speech AI.
Claude Agent SDK for AI-powered responses
Whisper STT for speech-to-text transcription
Silero VAD for voice activity detection
Kokoro TTS in Docker for natural voice output
Push-to-talk interface for clean interactions
Private Repository
VideoToText
Video Transcription Tool
Windows GUI and CLI tool that downloads videos from X/Twitter and transcribes them to text using OpenAI Whisper. Built for capturing and processing video content at scale.
Architectural blueprint for a vibe-coding freelancer collective — a Service DAO that combines human freelancers with autonomous AI agent swarms to deliver software at scale.
Service DAO organizational model (Raid Guild, Vector DAO precedents)
Hybrid workforce: human freelancers + AI agent swarms
A WebGL-powered portal that serves as the hub for three interconnected interactive experiences — Zen, Ancients, and BreakTheCode. Features cosmic backgrounds, 3D sacred geometry, and floating mandalas.
WebGL cosmic background with particle effects
3D sacred geometry navigation elements
Interactive book as the central portal
Links to Zen, Ancients, and BreakTheCode sub-projects
An immersive Zen meditation website presenting the classic story "Enter Zen From There." A full digital meditation space with multiple interactive elements.
Guided breathing exercises with visual feedback
Cosmic meditation mode with ambient visuals
Interactive zen garden — raking, placing stones, koi fish
An interactive web-based history timeline spanning prehistoric to modern eras, exploring alternative theories about pre-cataclysm advanced civilizations through an immersive WebGL experience.
An immersive interactive digital book exploring consciousness expansion and personal transformation. Features a cosmic theme with animated visuals across 6 chapters.
Animated DNA helix and starfield backgrounds
6 chapters on awakening and breaking unconscious patterns
Deep analysis of X's open-sourced "For You" feed algorithm. Decompiled the scoring formula and extracted actionable posting strategies to maximize reach.
Research and vision documents proposing a privacy-preserving bridge between Zcash and Solana — combining Zcash's privacy technology with Solana's speed and throughput.
Privacy-preserving cross-chain bridge concept
Zcash shielded transactions + Solana speed
Multi-AI research synthesis (Claude, Grok, Gemini)
Private RepositoryEvery Confirmed Signal Is Contrarian
Breadth-Exhaustion-Signal
Market Breadth Research Platform
A complete Python research platform testing market breadth exhaustion signals against 27 years of NYSE data. Thesis confirmed with p<0.05 statistical significance using Monte Carlo null hypothesis testing.
Monte Carlo null hypothesis testing for signal validation
Sensitivity analysis with parameter heatmaps
Multiple data input modes: proxy, real ADD, Schwab live, ThinkOrSwim import
Equity curve generation and drawdown analysis
Private Repository27 Years of Data, One Signal
Gann Square of Nine Backtester
Century-Old Theory, Modern Rigor
A 56KB Python backtester that formalizes 6 quantifiable W.D. Gann techniques and stress-tests them against 33 years of S&P 500 data with Monte Carlo null hypothesis testing. Found that Square of Nine support/resistance significantly outperforms random and round-number baselines.
6 Gann techniques formalized mathematically and backtested
Monte Carlo null hypothesis testing against random levels
Round-number baseline comparison for additional rigor
Feeds TERMINUS confluence engine as one of 11 data sources
Private Repositoryz = +9.51 · p = 0.0000
Mean Reversion Strategy Lab
Full Strategy Development Lifecycle
A complete strategy development lab spanning indicator ideation to production deployment. Multiple PineScript versions for TradingView, Python brute-force parameter sweep (20,736 combinations), and event-driven walk-forward backtesting with out-of-sample validation.
PineScript strategies for TradingView (multiple iterations)
