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.
Multi-Timeframe Scanning
The engine scans every 15 minutes across six timeframes — 15-minute, 30-minute, 1-hour, 4-hour, Daily, and Weekly — giving you scalp-to-swing coverage with short-term momentum, medium-term trend direction, and long-term structural context for every instrument. That's 4,000+ scans per cycle (678 instruments × 6 timeframes).
Higher timeframes act as a gate: a 4H signal must align with the Daily trend, and a Daily signal must align with the Weekly trend. This prevents trading against the dominant direction and dramatically improves win quality.
Core Indicators & Signal Modes
On each timeframe, the algorithm evaluates six core technical indicators. Each casts a vote (pass or fail). The combination of votes determines whether a signal fires. Additional confluence indicators then refine signal quality.
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.
Scalp Mode (Crypto only, 4H)
A fast-action mode exclusive to crypto on the 4-hour timeframe. When Strict and Dip modes don't fire but short-term momentum is turning — RSI recovering from oversold, StochRSI crossing up, and MACD histogram turning positive — Scalp mode catches quick mean-reversion trades with tighter stops and targets.
Position Mode (Daily/Weekly)
A long-term trend-following mode that holds trades for weeks to months. Uses Daily and Weekly timeframe analysis — Daily EMA stack alignment (9 > 21 > 55), price above EMA 200, RSI in the healthy zone (40–70), MACD expanding, Gaussian Channel confirmation, and Weekly EMA 21 > 55 for trend direction. Wider stops (2–3× Daily ATR) with trailing exits on the Weekly EMA 21. Best suited to indices, ETFs, commodities, and large-cap instruments where trends persist.
Why four modes? Strict mode catches clean trend continuation setups. Dip mode catches deeper pullbacks at statistical extremes. Scalp mode captures fast crypto reversals that don't meet full dip criteria but show strong short-term momentum. Position mode rides long-term trends on higher timeframes with wider stops and longer hold times. Together, they cover the full range of high-probability entries across all market conditions and time horizons.
Confluence Indicators
Beyond the six core conditions, the engine evaluates ten additional confluence indicators that boost signal quality without changing the entry requirements. When two or more agree with the primary signal direction, the quality score is boosted — resulting in larger position sizing for high-conviction setups.
SMA Golden Cross
50-period and 200-period Simple Moving Averages. Bullish when the SMA 50 crosses above the SMA 200 — a classic long-term trend confirmation signal.
Slow Stochastic (14,3,3)
Applied to price (not RSI). Bullish when %K crosses above %D from below 30, confirming momentum reversal from oversold territory.
TDI (Traders Dynamic Index)
Combines RSI with moving averages and Bollinger Bands of RSI. Bullish when the green line (fast RSI MA) crosses above the red line (slow RSI MA) and price is above the yellow mid-line.
Auto Trend Lines
Automatically detected from swing point fitting over the last 60 bars. Bullish when price is near or bouncing off a rising support trend line.
Bollinger Band Squeeze Breakout
Detects when Bollinger Band width narrows to the tightest in 20 bars (a "squeeze"), then price breaks outside the band with expanding width. Buy on upper breakout, sell on lower breakout.
RSI Divergence
Bullish divergence: price makes a lower low while RSI makes a higher low — momentum is recovering before price confirms. Bearish divergence: price makes a higher high while RSI makes a lower high — a classic topping signal.
MACD Zero-Line Crossover
The MACD line crossing above zero signals a trend change from bearish to bullish momentum. Crossing below zero signals the opposite. Stronger than a simple histogram flip.
Stoch RSI Re-Entry
Detects when %K drops back below 80 after being overbought (sell signal) or rises above 20 after being oversold (buy signal). Catches exhaustion reversals at key levels.
EMA 9/21 Crossover
Golden cross (EMA 9 crosses above EMA 21) confirms short-term bullish momentum shift. Death cross (EMA 9 crosses below EMA 21) confirms bearish shift. A fast, responsive trend-change signal.
VWAP (Volume Weighted Average Price)
The volume-weighted average price acts as an institutional benchmark. Price above VWAP suggests buyers are in control; below VWAP suggests sellers dominate. Visible as a chart overlay.
Quality Scoring
Each signal receives a quality star rating (1-3 stars) based on how many confluence indicators agree beyond the core six. This rating drives position sizing — higher confluence gets larger positions.
| Stars | Criteria | Position Size |
|---|---|---|
| ★★★ | 3+ confluence signals agree — BB squeeze, MACD zero-cross, EMA crossover, divergence, Stoch re-entry, plus classic boosters (SMA, Slow Stochastic, TDI, trend lines) | $1,500 |
| ★★ | 2 confluence signals agree with the primary signal direction | $500 |
| ★ | Base signal — core conditions met, fewer than 2 confluence signals | $500 |
1-star and 2-star trades receive the same $500 sizing because backtesting showed 2-star signals don't outperform 1-star enough to justify larger positions. Only 3-star trades — with full confluence from multiple independent signal types — earn the larger $1,500 allocation.
Extended Analysis
Beyond the core and confluence indicators, every scan includes a deep analysis layer that adds context and conviction to each signal:
- Fibonacci Retracements — anchored to Elliott Wave 1 low and highest wave pivot, drawing key support/resistance levels at 23.6%, 38.2%, 50%, 61.8%, and 78.6% retracement zones from the true impulse wave origin
- Fibonacci Extensions — calculates the 161.8% extension level as an alternative take-profit target when it offers a better exit than the default ATR-based target
- Elliott Wave Analysis — scans up to 1,000 bars of price history to identify the structural Wave 1 low and subsequent wave pivots, estimating which wave phase price is in (impulse or corrective) with connecting lines and markers on the chart
- Volume & OBV Analysis — confirms whether volume supports the current price move
- Candlestick Patterns — detects reversal and continuation patterns (hammers, engulfing, doji, etc.)
- Chart Patterns — identifies structural formations (double bottoms, head & shoulders, etc.)
- Support & Resistance — calculates dynamic levels from swing highs and lows
This analysis is displayed in the scanner's expandable detail view for every instrument, giving you a complete picture before any trade is taken.
Risk Management
Every trade has a built-in stop-loss and take-profit calculated from the instrument's ATR (Average True Range):
- Stop-loss: Structure-based using the nearest swing low, with a 0.3% buffer. Maximum stop-loss width is capped at 2% of entry price. Trades with wider stops are rejected.
- Take-profit: 1.5x the risk distance (1.5:1 reward-to-risk ratio). After TP1 is hit, the trade enters a trailing phase.
- Position sizing: Quality-weighted — $500 for 1-2 star signals, $1,500 for 3-star signals.
- Time-stop: If a trade hasn't hit its first take-profit within 6 bars (24 hours on 4H), it's closed at market. This prevents capital from being tied up in stagnant positions.
Two-Phase Exit System
Exits use a two-phase approach designed to lock in profits while letting winners run:
- Phase 1: Hard stop-loss + TP1 target. If TP1 is hit, stop moves to breakeven.
- Phase 2: Ratcheting trail floor (locks 75% of max profit) + EMA50 trailing stop. The trade stays open as long as the trend continues, capturing extended moves.
Backtested Performance
The strategy has been backtested across historical data spanning crypto, stocks, forex, and commodities. The test period covers August 2025 — July 2026, which included a broad bear market with the post-2024 crypto correction and US equity pullbacks — proving the strategy works in difficult conditions, not just bull markets.
These are the strategies that survived honest, survivorship-bias-free testing — walk-forward, out-of-sample, Monte-Carlo, real costs, spot-only, long-only. Most ideas we tried failed that filter (including the naive dip and active crypto trading). Risk-adjusted return (Sharpe) is shown, because it's what actually matters; the index benchmark is Sharpe ~0.9.
| Strategy | Sharpe | CAGR | Max Drawdown | Validation |
|---|---|---|---|---|
| Index + Trend blend | 1.70 | 18.6% | 16.9% | WF + OOS + MC ✓ |
| Trend sleeve | 1.41 | 20.3% | 20.0% | WF + OOS + MC ✓ |
| Crypto (BTC regime-timing) | ~1.1 | 33–44% | 34% | 9 yrs, 2 cycles ✓ |
| Smart-Dip | ~1.0 | ~12% | 16% | 79/81 perturbations robust ✓ |
These edges are currently proving live in paper before any real capital is committed. An earlier per-account-size table headlined "+128%" has been retired — it was a per-instrument, ~0.1%-effective-risk envelope, not a portfolio you could trade. We'd rather show the honest Sharpe. See the full research. Hypothetical, not a guarantee of future performance; FMA licensing in progress.
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. Never trade what you can't afford to lose.
What We Scan
678 instruments across 6 asset classes, scanned every 15 minutes on 6 timeframes (4,000+ scans per cycle):
- Crypto (50): BTC, ETH, SOL, XRP, DOGE, ADA, AVAX, LINK, DOT, NEAR, UNI, AAVE, and 38 more. XRP/RLUSD trades directly on the XRPL decentralized exchange.
- S&P 500 Shares (500): All US large-cap constituents — AAPL, MSFT, NVDA, AMZN, GOOGL, TSLA, META, and every S&P 500 component
- NZX Shares (21): FPH, ATM, MFT, AIA, IFT, VGL, CEN, MEL, MCY, GNE, FBU, SKC, RYM, SUM, POT, SKL, AIR, CNU, FRW, HLG, NPH
- ASX Shares (3): BHP, CBA, CSL
- ETFs (20): SPY, QQQ, VOO, IVV, VTI, IWM, DIA, TLT, GLD, SLV, sector SPDRs
- Indices (8): S&P 500, ASX 200, FTSE 100, DAX, NASDAQ, Dow Jones, Nikkei, Hang Seng
- Forex (31): All majors plus crosses — EUR/USD, GBP/USD, USD/JPY, AUD/USD, NZD/USD, and 26 more pairs
- Commodities (10): Gold, Silver, Platinum, Palladium, Crude Oil, Natural Gas, Wheat, Soybean, Copper, Cattle
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.