01
Research & data
Replay, labelling, vision extraction, and market-data tools that turn source material into inspectable evidence.
Lookup Trader · Signals Scrapper · cTrader Markets
Algorithmic research · 17 documented systems
A research-to-execution platform with every boundary documented.
Strategy services, execution hubs, data tooling, and shared infrastructure, organized so that signal logic, safety controls, and operating behavior stay inspectable.
System ledgerv1.0 / 2026
- Documented systems
- 17
- Starred
- 05
- Catalogue
- 12
- Last audited
- Aug 2026
- 01Research
- 02Validate
- 03Route
- 04Observe
System map
One platform, four operating lanes
The deployed documentation covers research tools, market strategies, execution services, and the shared infrastructure between them.
02
Strategy systems
Rule-based systems across foreign exchange and digital assets, each with explicit inputs, profiles, and failure boundaries.
Pump.fun · LuxAlgo · IPDA · VRVP · +5
03
Execution services
Authenticated routing and terminal adapters designed around validation, idempotency, dry-run controls, and reconciliation.
MT5 Trader · Forex Execution · Telegram → MT5
04
Shared infrastructure
Notification, ingestion, and operator-facing services shared across otherwise independent research and execution systems.
Notification Service · Telegram Bot
Starred systems
Five entry points into the platform
These systems sit at the front of the live documentation because they show the platform's range: event execution, pattern research, vision extraction, and signal routing.
01 · Event-driven strategy
Pump.fun Scalper
Detects pump.fun graduations, rejects unsafe candidates through a ten-check guardrail engine, and manages small positions with fast exits.
- Graduation detection across multiple event feeds
- Ten mandatory token and liquidity guardrails
- Paper-first operation with circuit breakers
- Durable position state and pre-signed exit ladders
TypeScriptSolanaRisk Engine
02 · Pattern research
Lookup Trader
A local bar-replay and manual labelling environment for building a pattern-based probability and outcome database from historical price data.
- HistData ingestion into partitioned Parquet
- Bar-by-bar replay and manual setup labelling
- Triple-barrier outcomes and feature storage
- Research-only artifacts with execution disabled
PythonDuckDBReact
03 · Signal service
LuxAlgo
Polls candles, calculates Supertrend direction, layers confluence rules, and submits validated trading instructions to MT5 Trader.
- Warmup-aware candle polling and alignment
- Hard target and confluence profiles
- Deterministic signals for downstream execution
- Configuration and acceptance tests documented
PythonSupertrendMT5
04 · Signal service
IPDA
An RSI Buy Chance / Sell Chance service with session gates, hard target profiles, operator alerts, and idempotent routing to MT5 Trader.
- RSI reversal logic ported from Pine Script
- Tokyo and New York session controls
- Deterministic signal identifiers prevent duplicate fills
- Break-even advisory and operator runbook
PythonFastAPIPine Script
05 · Vision extraction
Signals Scrapper
A scheduled NestJS service that captures IC Markets research pages, extracts structured signals with vision models, and can forward them to MT5 Trader.
- Scheduled research-page capture
- OpenAI vision extraction into structured signals
- Optional routing into the shared execution service
- Explicit configuration and architecture documentation
NestJSOpenAI VisionAutomation
Five starred systems · twelve in the wider catalogue
Browse the deployed documentation ↗Full catalogue
Twelve more systems across execution, data, and infrastructure
Each entry links to its current deployed documentation, including setup, architecture, configuration, and operating constraints where available.
01Execution
MT5 Trader
Authenticated FastAPI service that validates and idempotently executes signals through a local MetaTrader 5 terminal.
02Strategy
FU Strategy
Capital.com multi-timeframe system with higher-timeframe bias, zones, operator alerts, and optional 1-minute execution.
03Strategy
Bitcoin 9to5
BTC perpetual system that shorts US cash hours and holds long exposure overnight with adaptive zone timing.
04Market data
cTrader Markets
Profile-scoped FastAPI wrapper for cTrader Open API ticks, OHLC, and symbols over HTTP and SSE.
05Data intake
Telegram Bot
GramJS poller that detects Gold and XAU buy/sell phrases and fans operator alerts out through SMS.
06Execution
Telegram → MT5
Windows Telethon copier that reads one Telegram chat and places fixed-lot MT5 market orders, dry-run by default.
07Execution
Forex Execution
TypeScript and Fastify service for authenticated OANDA account, instrument, and execution APIs.
08Infrastructure
Notification Service
NestJS multi-channel API for Telegram, email, SMS, and WhatsApp with SQLite delivery history.
09Strategy
VRVP Strategy
Multi-timeframe forex system combining Supertrend, StochRSI, Fair Value Gaps, and Volume Profile.
10Strategy research
Jesse Strategies
Auction Market Theory experiments in Jesse, covering trend continuation and mean-reversion systems.
11Strategy
Tinga Tinga
RSI crossover system with Binance market data, balance-based sizing, risk management, and backtesting.
12Strategy library
Binance Crypto
TypeScript and JavaScript cryptocurrency strategies with reusable indicator and exchange utilities.
Operating model
How evidence becomes controlled system behavior
The platform uses a shared discipline across research, strategy, execution, and infrastructure, even when individual services have different responsibilities.
- 01
Research inputs
Candles, event feeds, research pages, and operator-labelled examples are normalized into inputs that can be replayed, inspected, and tested.
- 02
Explicit validation
Strategy rules, token guardrails, profile schemas, session gates, and instrument constraints reject incomplete or unsafe instructions before routing.
- 03
Controlled routing
Deterministic identifiers, dry-run modes, idempotency checks, terminal locks, and circuit breakers bound how accepted instructions can affect downstream systems.
- 04
Observable operation
Status endpoints, durable state, delivery histories, structured logs, and operator notifications make system behavior visible during and after operation.
Risk disclaimer
Nothing on this page or in this code is financial advice. Automated trading carries a substantial risk of loss. Systems that performed well historically can still lose money in future market conditions. Past performance never guarantees future results, and all deployment decisions require independent review, controls, and accountability.