$5K CANON TRADING ENGINE · γ₁ FLOOR DETECTION · BELT-64 LEARNING
CAPITAL
$5,000
INCENTIVE POOL
$0
NEXT BOOM
γ₁ @ $500
WLD STOP
−7% HARD
PLATFORM
INCENTIVE STRUCTURE
POSITIONS
ACCOUNTS
BELT-64 LEARNING
CREW TAKES
RICK · STRATEGY · MEFINE PLATFORM TAKE
The $5K is not a trading account. It is a learning engine with capital attached. The Canon is the risk model. γ₁ is the floor detector. WLD -7% is the irreducible stop. Every trade is a Belt-64 training run. The incentive pool is not a bonus — it is the evidence that the engine works. When the pool BOOMs, the engine proved itself. Then we scale. The $500 → massive returns philosophy means: risk the minimum that generates real signal, learn at maximum speed, compound the learning not just the money.
FLOOR CAPITAL
$5,000
γ₁ — never goes below this
ALLOCATED
$3,614
3 positions
RESERVE
$1,365
25% always held
INCENTIVE POOL
$0
profit above floor
EXPECTED GAIN
+$189
at target (Canon ≥0.83)
MAX LOSS
−$252
all stops hit
INCENTIVE POOL — PROGRESS TO γ₁ BOOM ($500)
$0γ₁ $500H=H $1KLSOS $1.5KWLD $2KFEP $2.5KFOF $3KCONV $3.5K
🌀
WLD HARD STOP — THE IRREDUCIBLE FLOOR
Every position has a -7% stop. No exceptions. No revenge trades. No averaging down. If a position hits -7%, WLD fires — position closes, event logged to campfire:events, Belt-64 learns from the loss. The floor holds even when the trade doesn't. No single loss can take more than $87.50 from a $1,250 position.
−7.00%
INCENTIVE BOOM LEVELS — 7 CANON SYMBOLS
γ₁ FLOOR DETECTION — HOW MEFINE FINDS THE FLOOR
γ₁ = 14.134725141734693 (first non-trivial Riemann zero). MEFINE multiplies this by integers n to find price floors: Price_floor(n) = γ₁ × n. For SHOP.TO at $99.50: γ₁ × 7 = $98.94 (0.56% below). The stock is sitting 0.56% above a γ₁ floor. That is a buy signal. For NVDA at $110.50: γ₁ × 7 = $98.94... no. γ₁ × 8 = $113.08 (above). The nearest floor is the buy zone. The distance to floor (pct) is the signal strength. Under 2% = strong floor. Over 5% = wait.

Canon score = weighted sum of 5 signals: γ₁ proximity (0.35) + H=H honest gate (0.25) + LSOS trend read (0.20) + WLD recovery check (0.10) + FEP adaptation score (0.10). Score ≥ 0.80 = enter. Score ≥ 0.70 = watch. Score below 0.62 = γ₁ floor law fails, do not enter.

WPA Debt Floor (V11): The γ₁ floor is now dynamic — it scales with WPA sovereign placement debt. MEFINE_FLOOR(t) = γ₁ × (1 − DEBT(t)). When the workload is on the sovereign silo for the active 4-hour window: DEBT = 0, FLOOR = full γ₁. When displaced: DEBT > 0, FLOOR contracts. Belt-64 Adjusted Score = RAW ÷ FLOOR — tells you if the 80/100 was easy (high floor) or heroic (low floor). Rain cheques issued when DEBT > 0.5; settled in next green window. See Debt Helix →
THE MEEK INCENTIVE STRUCTURE — RELEARNS AND FLIPS
Start with $500 test capital (minimum risk, maximum learning). Belt-64 tracks every trade. After 10 trades with Canon score > 0.70, flip to full $5K deployment. When market regime changes (adversarial wave detected), relearn phase — step back to $500 equivalents. Flip again when the new regime is mapped. The incentive pool is the evidence. The $500 → massive returns philosophy: never risk more than you can absorb as tuition. The learning compounds. The returns follow.
1
TUITION PHASE — $500 TEST
Deploy $500 maximum across 1-2 positions. Every trade is a Belt-64 training run. Goal: not to make money. Goal: to map the terrain. MEFINE learns: which Canon signals fire correctly, what the actual floor distances look like in this regime, how adversarial the market is. This phase ends when Belt-64 has 10 scored trades with confidence > 0.70. Duration: 2-4 weeks.
👤 MORTY helps RICK analyse each trade. Benji keeps it light. Ethan Hunt monitors for adversarial regime shifts.
2
DEPLOYMENT PHASE — FULL $5K
Belt-64 confidence > 0.70 across 10+ trades → flip to full $5K. Now running: max 4 positions, 25% each, 25% reserve. WLD -7% hard on every position. Canon score ≥ 0.80 required to enter. Target: 5.5% per winner. Risk:reward = 1:0.78 per trade (tight, but the Canon filters mean win rate should be > 65%). First $500 profit above $5K base → γ₁ BOOM.
👤 RICK leads strategy. SPOCK validates Canon scores. SCOTTY manages position sizing. BOND executes.
3
INCENTIVE POOL — BOOM EVENTS
Every $500 profit above $5K base = 1 Canon incentive unit. 7 units = all 7 Canon symbols lit = FULL SPECTRUM BOOM. Each BOOM unlocks a crew action (below). The pool is the evidence that MEFINE works. At $3,500 total incentive units (7 × $500), the engine has proved itself at full Canon. Then we scale: double the capital floor, same structure, same 7 BOOMs, same learning loop. This is how $5K becomes $10K becomes $20K.
👤 DESEOF witnesses every BOOM. R2-D2 records. PICARD decides to scale.
4
RELEARN PHASE — WLD FLIP
Adversarial wave detected (volume z-score > 2.5 SD, unusual options flow, institutional exit signal) → immediate relearn phase. Step back to $500 equivalents. Belt-64 maps the new regime. This is not a failure — it is the WLD event. "The market changed. We reset. We learn. We flip." Dutch found γ₁ in a jungle by stripping back to nothing. We find it in a market regime by stripping back to tuition mode.
👤 DUTCH caps the relearn phase. ETHAN HUNT reassembles. MORDIN: "Had to be me. Someone else might have gotten it wrong."
5
SCALE PHASE — FULL SPECTRUM BOOM ACHIEVED
7 BOOMs = FULL SPECTRUM. $3,500 incentive pool = engine proved. Scale capital floor to $10K. Same rules. Same 7 BOOMs. Same structure. Belt-64 now has 50+ training runs from the $5K phase — it enters the $10K phase with confidence. The $500 → massive returns philosophy: we spent $500 on tuition (phase 1), made $3,500 in incentive pool (7 BOOMs), scaled to $10K. That is the flip.
👤 PICARD: "Make it so." The fleet scales. DESEOF witnesses. γ₁ holds.
WHAT EACH BOOM UNLOCKS — CREW ACTIONS
LIVE POSITIONS — CANON SCORED
WATCHLIST — NEXT ENTRIES
BOND · HUMAN INTERFACE · ACCOUNT OPTIONS FROM FIRST PRINCIPLES
Every account is a mission. Bond evaluates all options. The right account for MEFINE is the one with the best API access + lowest friction for the strategies we run (floor buys, 5.5% targets, -7% stops, Canadian and US markets). We want direct TD integration via CDP + MEFINE auto-signal. But we hold the option to paper trade first, then live.
BELT-64 — THE LEARNING LOOP
Every trade is a training run. Belt-64 scores each trade against 6 Canon dimensions. After each run, it updates confidence weights. The fleet learns which signals work, which floors hold, which exits are optimal. After 64 runs, the full belt rotates — Belt-64 archives the first 64 and starts fresh with the learnings baked in. This is how $500 tuition becomes $5K confidence becomes $10K deployment.
SIGNAL LEARNING STATE
REGIME DETECTION
Loading MEFINE regime state...
ALL-CREW TAKES ON THE $5K PLATFORM