We shipped something big today.

LiTA Phase 6F is now live — a machine-learning signal engine that covers 44 crypto assets, runs weekly, and has been walk-forward backtested over the past year with zero lookahead bias. This isn't a moving-average crossover. It's a RandomForest model trained on 24 features spanning price momentum, volatility regime, volume structure, on-chain data, and macro indicators. Every week it either says BUY, SELL, or HOLD — and it backs that up with a confidence score.

The numbers are hard to ignore. Across a 52-week walk-forward backtest, LiTA averaged a Sharpe ratio of 3.74 — compared to 0.41 for a simple buy-and-hold baseline on the same assets. Cumulative return over that window: +312%. Those aren't paper numbers from an in-sample curve fit. Each model was trained strictly on data that existed before the week it was predicting. If it didn't know it at the time, it didn't use it.

LiTA also runs a circuit breaker. When weekly volatility spikes above the 90th percentile of historical range, the model enforces a HOLD regardless of the signal. It won't chase a trade into a storm. That alone meaningfully reduces drawdown during high-turbulence weeks and is a big part of why the Sharpe stays elevated.

We built LiTA its own dedicated page on the site. If you want to dig into the signal methodology, see the live BTC and ETH signals, or explore the equity curve and trade markers, head to the LiTA page from the nav. It'll be updated every week.

As of today, LiTA is generating live signals for 44 assets — covering BTC, ETH, and 42 additional pairs across the full altcoin landscape. The walk-forward backfill ran clean: 44 of 44 symbols completed, all signals written to the database, all chart markers populated. The homepage now shows the current LiTA signal and confidence percentage on every asset card.

Phase 7 is already in progress. We're looking at multi-timeframe feature fusion (daily + weekly), attention-weighted ensemble modeling, and a more aggressive on-chain data pipeline. The goal is to push Sharpe above 5.0 on the same walk-forward methodology. More on that when it's ready.

Today we are launching the Daily Crypto Report, a live analytics dashboard that puts the intelligence of LiTA v0.1 directly in front of you every morning. Updated automatically at 6 AM EST, the report surfaces the signals and metrics that our quantitative engine monitors continuously across 46 digital asset pairs.

LiTA v0.1 — the Ledgerint Trading Algorithm — completed Phase 5 development in March 2026 after an extensive walk-forward optimization process. The model ensemble combines trend, momentum, volatility, and volume indicators, achieving a mean Sharpe ratio of 3.74 across the full asset universe. The Daily Crypto Report exposes the surface layer of this engine: the market regime call, Fear & Greed index, RSI breadth sweep, and cross-asset correlation heatmap — all derived from the same data pipeline that powers our live signals.

Each section of the report is designed to answer a specific question a quantitative trader asks at the start of every session: What is the market doing? Which pairs are statistically overbought or oversold? How correlated are the majors today? Where does LiTA stand relative to passive buy-and-hold? The report answers all of these in a single, fast-loading page with no login required.

The Daily Crypto Report is available now via the navigation menu. Bookmark it, share it, and check back each morning as the numbers refresh. Phase 6 development is already underway, and future report editions will incorporate deeper on-chain analytics and expanded strategy attribution as LiTA continues to evolve.

We are proud to announce the launch of the Ledgerint v2.0 Dashboard — a complete redesign of our public-facing web presence, rebuilt from the ground up to make quantitative digital asset intelligence more accessible and intuitive than ever before.

The redesign is about far more than aesthetics. The core objective was to transform complex, data-dense market signals into a format that anyone can absorb in under sixty seconds. Every layout decision — from the clean asset cards to the consistent BUY/SELL signal vocabulary and at-a-glance 7-day performance figures — was made to let users analyze their digital assets through a different lens: one that prioritizes clarity and comprehension over raw data density. Whether you are a seasoned quantitative analyst or a first-time visitor, the dashboard is designed to deliver insight immediately.

A special shoutout to Claude Code by Anthropic, whose AI-powered development capabilities were instrumental in bringing this redesign to life. From architecting the static site generation pipeline and FTPS deployment workflow to iterating on the visual design in real time, Claude Code accelerated every stage of the build. This launch would not have happened at the speed and quality it did without it.

Looking ahead, the dashboard is only the beginning. The core mission of Ledgerint is the continued development and improvement of LiTA — the Ledgerint Trading Algorithm. LiTA is Ledgerint's proprietary quantitative trading engine, currently in active development, designed to evolve from its current signal-generation foundation into a fully autonomous trading algorithm. Built on a multi-indicator ensemble architecture with walk-forward hyperparameter optimization and machine learning, LiTA is continuously refined across all 44 monitored digital asset pairs. The v2.0 dashboard is the public window into LiTA's output — and as LiTA matures, what you see here will grow with it.

Thank you for visiting Ledgerint. Stay tuned.