Everything you need to time the market
Professional-grade Bitcoin analysis tools, without the professional-grade price tag.
Bitcoin Cycle Detection
Bitcoin's price follows a roughly four-year cycle closely tied to the halving schedule. MANTIS analyses this rhythm across multiple timeframes — weekly, monthly and yearly — scoring each potential cycle low with a confidence rating so you can gauge how far along the current cycle is and when accumulation conditions are strongest.
- Automated low detection with scored confidence bands
- Days-since-low counter and cycle progress bar
- Colour-coded accumulation zone overlays on the chart
- DSS Bressert & RSI oscillators for confirmation
Cycle Detection Dashboard
200-Week SMA Dashboard
200-Week SMA Zones
The 200-week simple moving average has acted as a generational floor for Bitcoin's price. Every time BTC has touched or dipped below it, long-term holders were rewarded handsomely. MANTIS plots this level in real time and categorises the current price into Discount, Fair Value, or Premium territory so you know exactly how stretched — or compressed — the market is.
- Live SMA value calculated from weekly close data
- Three-tier colour-coded zone system on the chart
- Percentage deviation gauge for quick reference
Smart Money Index
Retail traders chase price; smart money front-runs sentiment. The MANTIS Smart Money Index pulls together the DSS Bressert oscillator, RSI, exchange net-flow data and the Fear & Greed Index into one composite reading. Instead of flipping between five tabs, you get a single, clear gauge telling you whether conditions favour accumulation or caution.
- Fear & Greed Index with historical overlay
- Exchange net-flow tracking (in vs. out)
- On-chain health metrics and miner behaviour
- Single composite score: Accumulate / Neutral / Caution
Smart Money Composite
Top Signal Dashboard
Bitcoin Top Signal
Knowing when to stop buying is just as important as knowing when to start. The MANTIS Top Signal is a proprietary composite that combines on-chain metrics, momentum oscillators and sentiment data. Historically, it has fired at every major Bitcoin cycle top. It assigns a risk score from Low to Extreme so you can start de-risking before the crowd realises the party is over.
- Fired at every major cycle top in back-testing
- On-chain, sentiment & technical data fused into one reading
- Five-tier risk scoring with chart zone highlights
Four Accumulation Frameworks We've Backtested
Here are four accumulation approaches we personally use and have backtested across previous Bitcoin cycles. MANTIS is built to study these frameworks — the cockpit panels let you explore how each one has historically behaved, cycle by cycle.
BTC HODL Accumulatoor
This is the framework we apply when thinking about long-term BTC accumulation around the 4-year cycle low. Historically, two-tranche entries — one at the first confirmed weekly low, a second deeper if capitulation extends — have provided better average cost basis than single entries. The Top Signal is then used to study distribution timing at the cycle peak. A permanent hold portion is never rotated out.
- Historically, two-tranche entries around the 4-year low
- Top Signal used to study historical distribution timing
- Permanent hold portion modelled as never sold
BTC HODL Accumulatoor
BTC Swing Trader
BTC Swing Trader
This framework examines how entering at each confirmed weekly cycle low — and trailing a dynamic stop through the subsequent rally — has historically performed across bull market legs. A Year 4 sit-out condition is modelled to study the effect of pausing entries when the 4-year bear phase begins. We use this to understand weekly cycle behaviour, not as a signal to act.
- Studies each confirmed weekly cycle low across the bull
- Trailing 10-day SMA exit modelled in backtest
- Year 4 sit-out condition studied for bear phase behaviour
MSTR Hare
This is how we study MSTR's weekly cycle behaviour. The core of this framework is a cycle classification engine — a six-component Parabola Score that identifies what type of cycle is unfolding by week 7. The backtest only models entries on confirmed PARABOLA cycles; all others are sat out entirely. MSTR carries significantly higher volatility than BTC and involves substantial additional risk.
- Six-component engine classifies each MSTR cycle historically
- Backtest entries limited to confirmed PARABOLA cycles only
- Bear market sit-out condition modelled after defensive exits
MSTR Hare — $MSTR
COIN Tortoise — $COIN
COIN Tortoise
This framework studies Coinbase ($COIN) weekly cycle behaviour. Like the MSTR Hare, it uses a cycle classification engine to identify what type of cycle is developing. The backtest models a partial exit early in the move, then lets the remainder run with a trailing stop — regardless of cycle type. A 4-year top sit-out gate is modelled once the COIN Top Signal fires, with re-engagement studied only after Bitcoin's own cycle bottom is confirmed.
- Cycle classification engine identifies what type of cycle is developing
- COIN Top Signal used to model 4-year sit-out in backtest
- Re-engagement condition studied after Bitcoin cycle bottom
Under the Hood
Multi-Timeframe Charts
Daily, weekly, monthly and yearly views with synchronised crosshairs across every panel.
Live Data Feeds
Pulls from Binance, CoinGecko and on-chain APIs. Cached locally so the app stays fast even offline.
Zero Tracking
No accounts, no analytics, no data leaves your machine. Your financial research stays private.
Clean Interface
Deliberately stripped-back UI. Every element earns its place — no clutter, no distractions.
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