SCANNER + STRATEGY LAB
Freedom Fund.
Live observations. A track record we can inspect.
Connecting to daily data
Our Robinhood Chain Radar + trades task updates ↗
Opening the research terminal
Reading the collector’s latest observations.
Project feed · published snapshot
Our Robinhood Chain Radar
Building an investment research process that can support greater financial independence: collect verifiable evidence, test explicit rules, and measure results after costs. We are at the research and validation stage; sustainable investment income has not been demonstrated.
Eligible wallet history found · The fixed daily SPY-or-cash candidate now has a Monday review plan and a private journal for user-designated confirmed fills. Authenticated Agentic equity evidence is still missing. The BTC/ETH paper comparison retains its Sunday checkpoint; strategy profitability remains unmeasured.
Captured · local research data, not a real-time feed
Scorer: Transparent local rules. History: still collecting. Observed chain fills belong to tracked wallets, not trades made by our account. Wallet eligibility alone is not a four-wallet entry signal.
Our Radar fork · Build log · Public data · Track B · paper
What we’re learning
Evidence from the first experiments, and the next change worth testing.
Build a rule the broker and data can support
A daily decision can fit a tool-assisted workflow better than copying a fast on-chain burst. The first slower candidate uses SPY or cash and can hold its target for days or weeks.
Costs come before clever signals
A tiny position can still pay a large percentage spread. The first cost probe finished about 2.08% below its starting virtual balance.
Fresh prices need a trustworthy path
A dashboard refreshing is not the same as a fresh market quote. A price without available size is not a guaranteed fill.
Path to a testable trading model
- Complete Monday’s readiness checks for exact SPY fractional eligibility, 100 completed adjusted sessions, the exchange calendar and fresh bid/ask with observed size. Missing evidence means wait. Keep any confirmed user-submitted fills separate from research decisions and register a future paper comparison before claiming simulated equity returns.
- Keep the platform scope clear: Robinhood Agentic supplies the BTC/ETH paper quotes. Robinhood Chain wallet copying is a separate hypothesis and requires exact contract support plus verified wallet events.
- Improve quote coverage. The Agentic pilot currently receives supervised 15-minute samples through Grok; it has no continuous feed or verified fill capacity. Its freshness rules remain in force, and missing observations stay missing.
- Preserve each policy and paper journal. Test one justified improvement on subsequent observations against unchanged rules, cash and a cost-matched buy-and-hold baseline. Cost probes and software fixtures do not count as strategy returns.
- Run hourly health checks and daily local database backups. Review evidence daily, record failures and completed improvements, and publish reviewed milestones. Collection and local follow-ups require the host to stay awake and online.
- Review the weekend pilot on Sunday, September 13, 2026 at 6 p.m. Mountain. Report coverage, completed strategy positions, costs and blockers; a working test or a profitable weekend does not establish dependable income.
This feed publishes reviewed project milestones and aggregate research snapshots. The Solana scanner above is a separate experiment. Live-account records keep their own dated source. Research signals, simulations, and confirmed account fills are recorded separately.
From the trades task · build log
Monday review plan and confirmed-fill accounting prepared
The existing follow-up now includes Monday preparation and planned readiness, model and end-of-day checkpoints. A separate private journal records user-designated confirmed test fills, retaining actual quantities, prices and known fees. The daily page and existing MCP status tool display its accounting alongside the research decision.
93 software checks passed, including partial-sale cost basis, duplicate and conflicting receipts, stale marks, scope and chronology. The running page shows no confirmed test fills. SPY history, fractional eligibility and current market evidence remain unverified; Monday readiness is conditional on those inputs. The BTC/ETH rules and Sunday checkpoint were preserved.
Health checks now follow the actual sampling cadence
A maintenance review found that the old 90-minute warning threshold could miss several scheduled 15-minute quote samples. The check now uses the configured interval plus a five-minute grace period and reports its threshold. Missing quotes remain gaps, even when the dashboard refreshes.
All 22 maintenance and publication tests passed, including the previously missed 75-minute gap, threshold boundaries, missing quotes and configured cadence. Fresh supervised BTC/ETH reports resumed at 20:24 UTC after a host-access gap; the missing interval was preserved. This repairs monitoring, not the strategy or its profitability.
The daily model can be called through MCP
Five local MCP operations expose the frozen policy, current status, capability planning, evidence evaluation and private observation recording. The existing broker data connection is configured for the daily model’s equity inputs. The interface distinguishes configured tools from a fresh host catalog and successful broker responses.
86 tests passed, including actual local MCP tool calls in current and legacy protocol modes, strict input validation, rejection of arbitrary paths and private fields, and concurrent duplicate-record handling. Authenticated broker equity responses are still needed. These are integration checks, not trades or performance results.
A daily model designed around Agentic capabilities
The new candidate compares the latest completed adjusted SPY close with its trailing 100-session average, targeting SPY above it and cash otherwise. A local interactive page explains the rule and displays missing evidence. Review happens during the following regular session, with the target held until the daily rule changes.
70 engine tests pass, including 11 daily-model checks; interface and read-only endpoint checks also pass. The account still needs verified equity eligibility, adjusted history, calendar and fresh quotes. No equity observations, forward fills or returns have been claimed. The existing BTC/ETH experiment and website backtests remain separate.
Paper feedback now explains costs and rejected entries
The existing BTC/ETH desk now records entry and exit reasons, distinct quote rejections, and a cost waterfall separating market movement from spread, assumed slippage and modeled fees. Its follow-up samples every 15 minutes when the host and quote access are available. The registered comparison remains unchanged.
The current engine and feedback suite passed 59 tests. A dated private review reconciles about $0.4125 modeled cost drag and $0.0038 midpoint loss to the completed $0.4163 cost-probe loss. There are no completed breakout trades from which to infer a strategy win rate.
The Radar setup spec is reconciled with the running desk
A verified resume workflow and private continuity files now preserve strategy, evidence and account scope. The public Learning Journal adds the six proposed gates, their current evidence gaps and corrections to the advertised burst equation and replay interpretation. Existing experiments were preserved.
The first ten distinct recorded NO_TRADE observations are BTC/ETH rejections, not wallet-copy fills. Wallet copying still lacks normalized first-entry events, exact Agentic instrument identity and usable market-capacity evidence. The upstream 39% replay figure is not an executed-trade win rate.
A prospective strategy comparison is running
The unchanged selective breakout rule is being compared with passive BTC/ETH and cash over one registered window. At the entry snapshot, the selective book held virtual cash and the holding benchmark had two indicative paper entries. The completed cost probe stays outside the comparison.
The trades task reported 51 software checks passed. The dated local report verifies the registered window, two holding-benchmark entries, zero selective entries and separate cash baseline. No historical backtest or best-strategy claim is made.
A dedicated Learning Journal moon
The Financial Freedom collection now has a page for lessons, evidence and the next improvements to test. The project feed highlights key findings and links to the full journal. Completed results, active experiments and planned work keep distinct labels.
The journal is generated from curated public notes and connected to the galaxy, site search and the wiki directory. Only reviewed research findings are published; no private account data or raw chat is copied.
Hourly maintenance and daily research review configured
The existing publication follow-up now checks pipeline health and quote-sampling gaps, keeps daily private SQLite backups, and schedules a daily review of evidence. Improvements must preserve prior results and be tested as separate paper variants before any performance claim.
Six maintenance checks passed, including committed WAL-data backup, missing-source handling, account-scope rejection and stale-data detection. The first live maintenance run found healthy Radar services and verified four local database copies. Backups are on the same disk; the local host must remain available.
Agentic BTC/ETH paper cost test completed
A separate virtual $20 BTC/ETH cost probe completed at $19.58, a modeled loss of about $0.42 after the observed spread and assumed slippage. The breakout strategy rejected entries because spreads exceeded its limit. This result measures the cost model and accounting, not a profitable signal.
Thirteen Agentic-model software checks passed. The private journal contains two completed indicative paper positions. Quotes were relayed through Grok, available size was unknown, and continuous collection and broker execution remain unvalidated. No funded order was placed by these engines.
Weekend observation runner is active
A local service records dated Radar health and signal snapshots once a minute and maintains a separate paper ledger. It resumes across restarts and stops at the Sunday readiness checkpoint. Aggregate observations never become invented wallet events or simulated fills.
Checked September 12 at 17:41 UTC: collector healthy; zero normalized trade, instrument, or quote inputs; zero forward paper fills. This is an observation service, with the trading data adapters still missing. The host must stay awake and online.
Paper budget and stale-data controls tested
The paper engine now enforces a total experiment deployment ceiling that profits and exits cannot reset. Missing or stale exit quotes leave position values unknown. Quiet feeds expire pending entries, and incomplete or replayed input records cannot silently create duplicate fills.
30 tests passed across the engine and observation runner, covering budget enforcement, insufficient exit capacity, replay recovery, malformed inputs, and source failures. These are software checks; forward profitability remains unmeasured.
ONE LEDGER. SHARED CONTEXT.
Built for you.
Readable by your agents.
The chart, scoreboard, and JSON API use the same calculations. Agents can read scans, trigger collection, and append sourced public snapshots or decisions to the research ledger.
GET /api/freedom-scannerRUN AN AUTHENTICATED COLLECTIONPOST /api/freedom-scannerHISTORICAL SCOREBOARD + PUBLIC AGENT LEDGERGET /api/freedom-fund?period=126Checking collector connection.
Authenticated writes · versioned rules · sourced evidencePaper simulations only. No wallet signing or real orders.
How the scoreboard is calculated
The Freedom Fund strategy scoreboard compares S&P 500 buy-and-hold, equal-weight allocation, trend following, relative momentum, and mean reversion using real daily market prices. Historical simulations, recorded live portfolios, and paper strategies have separate results. Every comparison includes its dates, net return, drawdown, transaction-cost assumptions, and evidence source. Agents read and append public observations through the shared API.
The goal: build evidence, make better decisions, and compound what works. Read the research notebook ↗