Enter a ticker
Use liquid symbols first. Start with five years of history to give cycles and macro proxies enough room.
How to read the model
From ticker to wave thesis
Inv-Wave blends price waves, nature-inspired formation physics, company shape, market coast, macro weather, and risk into a decision layer. Treat it as a research cockpit: it gives a structured setup, levels, and validation evidence, not certainty.
GreenConstructive
RedDefensive
WhiteNeutral
Workflow
Run a clean analysis loop
Pick a horizon
The default 30 trading days is a swing horizon. Shorter horizons emphasize wave state; longer horizons emphasize drift and volatility.
Read the buying panel
Use the action, setup score, target, pullback, breakout, invalidation, data reliability, and reasons before reading secondary scores.
Validate
Run the backtest, then compare directional accuracy, information coefficient, error, interval hits, and hidden-wave hit rate.
Buy guidance
What the decision layer means
Buyable now
Forecast, setup score, risk, and formation physics are aligned enough for the model to support current-price exposure.
Starter / confirmation
The setup is constructive but not dominant. The model prefers smaller sizing or waiting for breakout confirmation.
Wait for pullback
The thesis is constructive, but the current wave is extended. Pullback entry is the cleaner modeled risk point.
Hidden-wave watch
The physics layer detects stored energy or precursor rhythm, but confirmation from price, macro, or risk is incomplete.
Watchlist only
No decisive edge. The model is saying the stock may be interesting, but not actionable yet.
Avoid / reduce
Downside pressure, risk, or poor composite quality dominates. This is a defensive posture, not a buy signal.
Model layers
The wave analogy as math
WavePrice heartbeat: trend, dominant cycle, frequency, repetition, RSI, ATR, and break risk.
PhysicsFormation mechanics: rhythm, bandwidth, steepness, stored energy, instability, source/sink flux, and hidden-wave setup.
ShapeCompany fundamentals: valuation, growth, profitability, balance-sheet quality, and data confidence when available.
CoastThe domain the wave breaks against: sector, industry, beta, cyclicality, rate sensitivity, innovation, defensiveness, and moat priors.
WeatherMacro regime proxy: SPY/QQQ momentum, VIX, rates, commodities, and market beta pressure.
RiskVolatility, drawdown, downside deviation, CVaR, beta shock, classical break risk, and physics break stress.
3D surface
Reading the formation map
Ridges
High ridges represent stronger formation energy from price normalization, rhythm, stored energy, and wave concentration.
Color
Cyan leans toward organized energy, amber toward stored/ignition energy, and magenta toward break stress.
Interaction
Drag the surface to inspect structure. It does not auto-spin, so visual motion does not imply market motion.
Validation
Backtest readout
NNumber of historical forecast windows tested.
DirDirectional accuracy: whether predicted and realized return direction matched.
ICInformation coefficient: correlation between predicted and realized returns. Positive is better.
MAEMean absolute error between modeled and realized return. Lower is better.
68 hitHow often realized price landed inside the model's 68 percent interval.
TsuHidden-wave setup count and hit rate for the tsunami-style precursor layer.
No lookaheadHistorical validation excludes current fundamentals unless explicitly enabled in code.
OverlapAppears when validation windows share trading days, so samples are not independent.
Limits
Use it like a research instrument
This is experimental quantitative research software. It can miss regime shifts, bad data, news shocks, liquidity events, and structural breaks. Do not treat outputs as personalized financial advice. The useful habit is iteration: analyze, backtest, compare, refine thresholds, and keep position sizing outside the model.