Philosophy
Satis Omnibus uses a systematic dip-buying strategy designed for consistent, mechanical execution. The algorithm doesn't predict the future — it identifies moments when price has pulled back into statistically favourable zones, then enters with strict risk management.
The strategy works across all asset classes because it's based on universal market mechanics: trend, momentum, volatility, and mean reversion. The same logic that finds a crypto dip also finds a stock pullback or a forex retracement.
Six Indicators, Two Modes
Every 15 minutes, the algorithm scans all 75 instruments using six technical indicators. Each indicator casts a vote (pass or fail). The combination of votes determines whether a signal fires.
EMA Crossover
8-period and 21-period Exponential Moving Averages. Bullish when fast EMA crosses above slow EMA, confirming short-term momentum shift.
RSI (Relative Strength Index)
14-period RSI. Bullish when RSI is between 30-50 (oversold recovery zone). Avoids chasing overbought conditions above 70.
MACD
12/26/9 MACD. Bullish when the MACD line crosses above the signal line, confirming momentum is turning positive.
Stochastic RSI
14-period StochRSI. Bullish when K line crosses above D line from oversold territory, signaling momentum reversal.
Gaussian Channel
Price position relative to the Gaussian Channel. Bullish when price is near or below the lower band, indicating a potential mean-reversion opportunity.
Bollinger Bands
20-period, 2 standard deviations. Bullish when price touches or penetrates the lower band, identifying statistical oversold extremes.
Strict Mode (6/6)
All six indicators must agree. This is the highest-conviction signal — every single condition is met. These trades are rarer but have the highest probability of success.
Dip Mode (4/6)
At least four of six indicators agree, with emphasis on oversold conditions (RSI and Bollinger Bands must be among the passing indicators). These catch deeper pullbacks where not every indicator has turned yet, but the dip-buy setup is strong.
Why two modes? Strict mode catches clean trend continuation setups. Dip mode catches deeper pullbacks where momentum hasn't fully reversed yet but price is at a statistical extreme. Together, they capture the full range of high-probability entries.
Signal Scoring
Each signal gets a score from 1-6 based on how many indicators pass. This score drives position sizing — higher scores get larger positions because the probability is higher.
| Score | Mode | Position Size | Meaning |
|---|---|---|---|
| 6/6 | Strict | Full size | Maximum conviction — all conditions aligned |
| 5/6 | Dip | 75% size | Strong setup — one indicator lagging |
| 4/6 | Dip | 50% size | Good dip — core oversold conditions met |
| 3/6 or less | — | No trade | Insufficient confluence — algorithm waits |
Risk Management
Every trade has a built-in stop-loss and take-profit calculated from the instrument's ATR (Average True Range):
- Stop-loss: 1.5x ATR below entry price. This gives the trade enough room to breathe without risking too much. Maximum stop-loss width is capped at 6%.
- Take-profit: 3x ATR above entry price (2:1 reward-to-risk ratio). Winners are designed to be roughly twice the size of losers.
- Position sizing: Based on your risk percentage setting (1-5% of balance) divided by the stop-loss distance. Larger stops = smaller positions.
Backtested Performance
The strategy has been backtested across 2,383 historical trades spanning crypto, stocks, forex, and commodities:
| Metric | Value |
|---|---|
| Total Trades | 2,383 |
| Win Rate | 41.1% |
| Profit Factor | 1.44 |
| Net Profit | $8,547 |
| Max Drawdown | $334 |
| Average Trade | +$3.59 |
Yes, the win rate is 41%. That means most trades lose. The strategy makes money because winning trades are significantly larger than losing ones (profit factor 1.44). This is normal for trend-following and dip-buying systems — you accept many small losses in exchange for fewer but larger wins.
Past performance does not guarantee future results. All trading involves risk of loss. Backtested results may not reflect real-world slippage, fees, or liquidity constraints. Only trade with money you can afford to lose.
What We Scan
75 instruments across 7 asset classes, scanned every 15 minutes:
- Crypto (16): BTC, ETH, SOL, ADA, DOT, AVAX, LINK, MATIC, UNI, ATOM, NEAR, FTM, ALGO, XRP, DOGE, SHIB
- US Tech Stocks (10): AAPL, MSFT, GOOGL, AMZN, NVDA, META, TSLA, AMD, CRM, NFLX
- NZX Shares (8): FPH, ATM, SPK, AIR, MFT, EBO, FBU, SKC
- ASX Shares (8): CBA, BHP, CSL, WBC, ANZ, NAB, WES, FMG
- Forex (8): EUR/USD, GBP/USD, USD/JPY, AUD/USD, NZD/USD, USD/CAD, USD/CHF, EUR/GBP
- Commodities (8): Gold, Silver, Crude Oil, Natural Gas, Copper, Platinum, Palladium, Wheat
- Indices (5): S&P 500, NASDAQ, Dow Jones, FTSE 100, ASX 200
Open and Transparent
We show you every signal — the ticker, the score, which indicators passed, the entry price, stop-loss, and take-profit. There's no hidden logic or secret sauce. The algorithm is mechanical and consistent, which means you can verify every decision it makes.
Free users see signals with a 30-minute delay. Paid users see them in real-time and can enable auto-trading to execute them automatically.