Forex pairs
EUR/USD, GBP/USD, USD/JPY, USD/INRMajor and select cross pairs covered around the clock during liquid hours.
Trading
Quantum AI Trading: Algorithm-Driven Strategies Across Asset Classes
Quantum AI Trading combines four decorrelated strategy families with strict pre-execution risk filters. Each signal carries explicit confidence, sizing, and stop-loss data so users can audit every trade.
Strategies
Four Strategy Families
Each strategy targets a distinct market behaviour. Running them concurrently keeps drawdowns from stacking when one regime stops working.
Trend-following on momentum signals
Identifies sustained price moves using moving-average envelopes, ADX confirmation, and volume-weighted momentum. The strategy enters on confirmed breakouts and trails stops as the trend extends. Works best on liquid forex majors and large-cap indices.
Mean-reversion on range-bound pairs
Targets pairs and instruments in established trading ranges using Bollinger Bands, RSI extremes, and statistical Z-score tests. Position sizes are smaller than trend trades since each individual mean-reversion entry has a lower edge per trade but a higher hit rate.
Volatility breakout on event-driven setups
Sits ready around scheduled high-impact events — central bank rates, GDP releases, inflation prints — and triggers only after volatility expands past statistical thresholds. Profit targets and stops are tight, exposure window short.
Regime-detection meta layer
A meta-strategy that observes the other three and adjusts allocation weights as market state shifts between trending, ranging, and volatile regimes. This is what keeps the platform from over-allocating to mean-reversion in a strongly trending market or vice versa.
Markets
Markets and Asset Classes
Diversification across uncorrelated markets is core to our methodology. Strategies run across four asset classes:
Cryptocurrencies
BTC/USD, ETH/USD, SOL/USDTop-cap assets only. Strict position caps to limit volatility exposure.
Indices
Nifty 50, Sensex, S&P 500, DAXCash and futures-based contracts depending on broker availability.
Commodities
Gold, Silver, Crude Oil, Natural GasUsed as macro hedges and standalone trend opportunities.
Risk
Position Sizing and Risk Management
Every signal is filtered through three layers before it reaches your dashboard:
- Position-size cap: No single trade exceeds 2.5% of account equity by default. You can lower this; raising it requires confirming a risk-tolerance prompt.
- Correlation budget: Concurrent open positions cannot together exceed an aggregate correlated-exposure ceiling. If gold and silver are both signalled long, the second one is rejected.
- Monthly drawdown brake: If realised drawdown for the month crosses a configurable threshold (default 8%), new entries are paused until the next calendar month.
Performance
Performance Snapshot
| Metric | Q1 2026 | Q2 2026 | YTD 2026 |
|---|---|---|---|
| Win rate | 64.2% | 67.1% | 65.8% |
| Average drawdown | 4.8% | 5.1% | 5.0% |
| Average trade duration | 3.6 days | 3.2 days | 3.4 days |
| Sharpe ratio | 1.42 | 1.51 | 1.47 |
| Recovery factor | 2.1 | 2.3 | 2.2 |
Aggregated across all live strategies. Past performance is not indicative of future results.
Examples EUR/USD Nifty 50 BTC/USD
Recent Trade Examples
Illustrative entries from live strategies. Numbers approximate actual trades; specific timestamps anonymised for partner-broker confidentiality.
Trend long — Entry 1.0845, stop 1.0795, target 1.0950. Triggered by 4-hour momentum break with confirming Frankfurt-session volume.
Long +0.78% Mean reversion — Entry on RSI 28 oversold reading near the lower Bollinger Band. Held three sessions, exited on RSI 52.
Long +1.12% Volatility breakout — Triggered after announced ETF flow data exceeded one-week implied volatility expectation. Stop hit overnight on follow-through reversal.
Short -0.42% FAQ
Quantum AI Trading FAQ
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Which strategies run on the Trading page assets?
Four core strategies run simultaneously: trend-following on momentum signals, mean-reversion on range-bound pairs, volatility breakout on event-driven setups, and regime-detection that adjusts strategy weight based on current market state. Strategies are decorrelated so drawdowns rarely stack.
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What instruments are tradeable?
Major forex pairs, large-cap cryptocurrencies, leading global and Indian indices, and the four primary commodities (gold, silver, crude oil, natural gas). Asset selection depends on the partner broker available to you and your residency.
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How are stop-loss and take-profit levels set?
Each strategy sets levels using ATR-based volatility bands at the time of signal generation. Stop and target distances scale with the volatility of the instrument at that moment — wider during high-volatility periods, tighter when markets are calm.
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Can I override a signal?
Yes. Every signal can be accepted, rejected, or adjusted manually before submission. The platform records overrides for your own analytics — over time you can see whether your interventions improved or hurt results.
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