Trend Following
8.9 years of backtest, positive every single year — including the 2018 and 2022 bear markets that cut BTC in half. A fully-automated, systematic multi-asset strategy: it trades only major, highly liquid crypto, risks a fixed fraction per trade, scales positions down as volatility rises, and runs multiple built-in circuit breakers. It doesn't predict markets — it follows trends and cuts losses without mercy.
Ride the bulls, don't bleed with the bears: in 2018 BTC fell 73% while the strategy made +112%; in 2022 BTC fell 64% while the strategy made +70%. Trading both directions turns bear markets into a source of returns, not a disaster.
What we believe
Markets range most of the time and trend only occasionally. The vast majority of profit comes from those few big moves; the vast majority of losses come from being chopped up in the ranges.
Most people do the opposite — overtrading the chop, taking profits too early in the big moves. Not because they don't know better, but because they can't help it: fear, greed and hope break the plan at the worst moment. Our fix is boring but effective — hand judgment to the rules and execution to the machine. Emotion doesn't get a vote; discipline never takes a discount.
Strategy character
Trend, never counter-trend
We don't bottom-fish or pick tops — we step in only once direction is confirmed. We'd rather miss the first leg up than catch a falling knife.
Fully automated
Built on the professional-grade NautilusTrader engine, wired straight into exchange matching — millisecond reactions, 24/7, no human delay and no "not feeling it today".
Risk-first sizing
Every trade's worst case is defined before entry; position size scales with volatility. Decide what you can lose before you think about what you can make.
Let winners run, cut losers short
Hold the right direction, exit the wrong one fast — the mathematical basis for a trend strategy being positive over time.
Transparent, consistent rules
The same market conditions always produce the same action. There is no "this time is different".
Long-horizon, low frequency
Not scalping, not day-trading. It waits quietly and only acts when acting is worth it.
We publish the strategy's character, not its triggers. The exact entry/exit conditions are core know-how and stay private — an edge that can be trivially copied disappears fast.
Risk management: what we care about most
Markets give and take, but surviving is the only thing that lets you be there for the next big move. So risk control is not a feature — it is the foundation.
- Fixed per-trade risk cap — the worst case of any single trade is locked before entry.
- Volatility-scaled sizing — the wilder the market, the more conservative the exposure, not the reverse.
- Hard stops, no averaging down — losing positions are never "averaged" or bet on to come back.
- Multiple circuit breakers — exposure is cut automatically in extreme conditions.
Backtest Advanced
Compound annual growth rate
- Win rate A low win rate is by design. Trend following "lets profits run and cuts losses short" (tight stops): many small, cheap stop-outs on the wrong side, a few big winners riding a real trend. Most trades are small losses; a few are large gains. As long as the profit factor is high enough (1.33 here), a low win rate is still profitable long-term — that is the mathematical basis of trend following.
- 35.4%
- Positive months
- 62%
- P/L ratio Profit factor (P/L ratio) = total gains ÷ total losses. Above 1.0 means the strategy makes more than it loses; 1.33 means every $1 lost is offset by $1.33 earned. A low win rate can still be very profitable when the profit factor is high enough.
- 1.33
- Max DD
- −49%
- Sharpe Sharpe ratio measures return per unit of risk (volatility). Higher is smoother — above 1 is solid, above 1.5 is excellent for crypto. It rewards steady growth and penalises wild swings, so a high Sharpe means the returns did not come from reckless risk-taking.
- 1.73
- Period
- 2017–2026
We deliberately do not advertise "compounding multiples" — such numbers ignore capacity and slippage and are easily distorted. Judge this strategy by CAGR, the annual and monthly return tables, and the equity-growth curve.
Copy-trading setup: Standard (public) vs Advanced (private upgrade)
| Standard Public copy-trading | Advanced Private upgrade | |
|---|---|---|
| CAGR CAGR (Compound Annual Growth Rate) is the steady yearly return that would grow the starting balance into the ending balance over the same period. It puts strategies of different lengths on one comparable scale — a truer read of yearly earning speed than a headline "total-return multiple." Compound annual growth rate | +157% | +248% |
| Sharpe / Max DD | 1.70 / −39% | 1.73 / −49% |
| Win rate / Profit factor | 35.3% / 1.38 | 35.4% / 1.33 |
| Trade frequency | 4.7/wk · 2.3-day avg hold | same |
| Max consecutive losses | 21 | 22 |
| Positive months / worst month | 61% / −20.4% (Mar 2025) | 62% / −26.7% (Mar 2025) |
| Where to copy | | Invite-code registration, or a copy balance ≥ 5,000 USDT |
How do I copy the Advanced strategy (private upgrade)?
Standard (public copy-trading) and Advanced (private upgrade) share one strategy core at different risk tiers. Advanced accepts deeper drawdowns for higher compounding (backtested ~248% CAGR, −49% max drawdown). To copy Advanced (private upgrade): register the exchange with your Quant Nova invite code; or, with a copy balance of 5,000 USDT or more, the invite-code requirement is waived — just contact support directly for the Advanced private copy code.
Two ways to qualify for Advanced
- ①Register your exchange account with our Quant Nova invite code, then contact support for the copy code.
- ②Or: with a copy-trading balance of 5,000 USDT or more, the invite-code registration is waived — just contact support directly for the Advanced private copy code.
To claim your copy code, contact support: Telegram @quant_nova QQ 3454521921
Live copy-trading accounts
Real-time equity and cumulative return of our own-capital live accounts (updated hourly). For research reference only — past performance is not indicative of future results, and this is not investment advice.
…
Strategy growth vs BTC buy & hold
$10,000 start · backtested compounding
Annual returns vs BTC buy & hold
| Year | Standard | Advanced | BTC |
|---|---|---|---|
| CAGR | +157% | +206% | +35% |
| 2017* | +53% | +67% | +220% |
| 2018 | +112% | +150% | −73% |
| 2019 | +185% | +229% | +94% |
| 2020 | +391% | +514% | +302% |
| 2021 | +215% | +271% | +60% |
| 2022 | +70% | +91% | −64% |
| 2023 | +275% | +440% | +156% |
| 2024 | +215% | +297% | +121% |
| 2025 | +33% | +38% | −6% |
| 2026* | +18% | +18% | −30% |
2017 covers Aug–Dec; 2026 covers Jan–Jul. Advanced yearly figures are the existing backtest breakdown; see the copy-trading setup card above for this tier's headline CAGR.
Monthly returns heatmap
| Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | · | · | · | · | · | · | · | +0 | −1 | +8 | +23 | +28 |
| 2018 | +4 | −4 | +16 | +4 | +0 | −1 | +5 | +38 | +16 | −6 | +32 | −0 |
| 2019 | −9 | +18 | +6 | +39 | +48 | +39 | +4 | +17 | +11 | −14 | −8 | −4 |
| 2020 | +3 | +38 | +53 | +14 | +15 | −19 | +66 | +5 | +6 | −1 | +11 | +30 |
| 2021 | +46 | +64 | +29 | +56 | −9 | −6 | −3 | +20 | −9 | −14 | −8 | +8 |
| 2022 | +36 | −19 | +17 | −14 | +49 | +36 | +10 | −13 | −14 | +6 | −20 | +20 |
| 2023 | −1 | −10 | +8 | −2 | +1 | +38 | +82 | +33 | +5 | +4 | +5 | +50 |
| 2024 | −15 | +69 | −8 | +47 | +15 | −12 | +24 | +16 | −5 | −8 | +52 | +6 |
| 2025 | −13 | +34 | −24 | −7 | +22 | −14 | +23 | −18 | +9 | +30 | +24 | −9 |
| 2026 | −10 | +50 | −20 | −19 | −2 | +41 | −2 | · | · | · | · | · |
Each cell is that month's return — green positive, red negative, deeper = larger. Defaults to Advanced; toggle to Standard. Roughly 61–62% of months are positive. 2017 starts in August; 2026 runs through July.
How we guard against overfitting
Most miracle backtests die of overfitting. Here is our validation process and the evidence, in the open:
- 1 In-sample / out-of-sample iron rule: every parameter was decided on data up to 2023-12-31 only; 2024 onward is validation, never tuning — any change that failed validation was discarded.
- 2 Parameter plateaus, not lonely peaks: neighboring settings give nearly identical Sharpe, and the deployed values are deliberately not the in-sample maximum. An isolated peak is the fingerprint of overfitting; a plateau is structural edge.
- 3 Independent matching-engine cross-check: reproduced on an independent open-source engine (NautilusTrader) at 1-minute resolution — Sharpe differs by just 0.02, trade counts match one-for-one.
- 4 Conservative fills: stops that gap through their trigger fill at market, gaps fill at the open, real historical funding is charged — no backtest-only advantages.
- 5 Zero-hindsight coin selection: a mechanical rule that re-picks the universe quarterly using only past data still captured 84% of the deployed pool's out-of-sample Sharpe — performance comes from the strategy, not cherry-picked lucky coins.
Out-of-sample validation (parameters frozen)
| In-sample →2023 | Out-of-sample 2024→ | |
|---|---|---|
| Sharpe | 1.88 | 1.22 |
| CAGR | +191% | +86% |
| Max DD | −39% | −34% |
Every parameter was set on pre-2024 data; from 2024 on we only validate, never tune. The decay is fully visible — and still strong.
Questions you should ask
Why is the win rate only 35%? Isn't that losing more than winning?
A low win rate with a high payoff ratio is the nature of trend following: most trades are small stop-outs, a few catch big trends and win large. As long as the payoff ratio is high enough (1.38 here), the few big winners more than pay for the many small losses. Don't judge by win rate alone — what matters is whether you can sleep through the max drawdown and whether the payoff ratio is high enough.
Why can it survive both bull and bear markets?
Because it trades both directions and only follows, never predicts. Trend up → long; trend down → short. In 2018 BTC fell 73% while the strategy made +112%; in 2022 BTC fell 64% while it made +70% — crash years are harvest years because the trend is clear. The truly hard periods are directionless, choppy ranges (like March 2025).
Isn't this just overfitting — driving by the rear-view mirror?
Four lines of defense stop exactly that:
- 1. In-sample / out-of-sample iron rule — parameters are set on pre-2024 data only; from 2024 on we validate and never re-tune.
- 2. Parameter plateaus, not lone peaks — we deliberately avoid the in-sample maximum, since a lone spike is the fingerprint of overfitting.
- 3. Independent open-source matching engine (NautilusTrader) reproduces it trade-for-trade, with Sharpe differing by only 0.02.
- 4. Zero-hindsight coin selection — a past-data-only rule re-picks the universe and still captures 84% of the Sharpe.
Out-of-sample Sharpe is still 1.22. See "How we guard against overfitting" and the out-of-sample table above.
How deep is the drawdown, and how long must I hold?
Historically ~−39% max drawdown, up to 21 consecutive losing trades, worst single month −20.4%. The value of a trend strategy is staying on the right side of the big moves with discipline; drawdowns and losing streaks are the entry fee, not a malfunction. The worst thing you can do is switch it off at a drawdown low — that means exiting at the worst possible price.
Who this is for
A fit
- People who believe in trends and can accept a "many small losses, few big wins" rhythm.
- People with no time to watch screens who want disciplined, passive participation.
- People who can tolerate drawdown and think in months-to-years.
Not a fit
- People who want "steady daily profit, never a loss" — that does not exist.
- People who cannot stomach the account dropping back for a stretch.
- People who only want to double up short-term and walk away.
Honestly: this strategy has stretches of consecutive losses (ranges are especially painful) and it has drawdowns. Its value is not "never losing" — it is standing on the right side of the big moves, with discipline, over the long run.
The full picture: growth, drawdown & out-of-sample
Everything in one view — equity growth (vs buy-&-hold BTC) above the underwater drawdown, split at the 2024-01-01 parameter freeze into in-sample and out-of-sample. Toggle Standard / Advanced.
Our deepest drawdown, dissected
Here is our most painful stretch laid bare: 18 Jul – 7 Sep 2025, the Standard portfolio equity fell −24.0% peak-to-trough, ending the window −16.3%. BTC merely chopped sideways with false breakouts the whole time — the true risk profile: losses come from trendless, choppy markets grinding the stops, not from crashes. Conversely, the crash years (2018, 2022) were among our best. Understand and accept this out-of-sync loss rhythm before copying.
Deepest drawdown window under the microscope: 18 Jul – 7 Sep 2025
The solid line is the real BTC price (left axis); the dashed line is the whole-book strategy equity (right axis, window start = 100). BTC's own 5 trades added only −4.9% (Standard), yet the equity still fell −16.3% — the rest came from other coins chopping the same way. The markers sit on the BTC price: two false breakouts long near $122k, stopped within a day; flipped short into the drop, swept by a 90-minute bounce; the last two shorts left by the 4-bar reverse channel.
The markers are BTC's 5 actual fills that window, sitting on the real BTC price line: ▲/▼ long/short entries, red dots stop-losses, green dots channel exits. The dashed line is the whole 13-coin book's equity — not BTC alone; BTC held no position before 11 Aug, so the earlier equity drop is entirely other coins. Both tiers share the same entry/exit points.
Risk disclosure
Backtest assumptions: 0.048% fee per side (0.06% taker with a 20% rebate), zero slippage, real historical funding costs, and order fills modeled with conservative live-trading semantics. This strategy has historically seen drawdowns over 40% and 21 consecutive losing trades.
- Everything on this page — strategy logic, backtest data and any live records — is our team's quantitative strategy research and information sharing only. It is not investment advice, a recommendation, an offer, a solicitation, or a basis for buying or selling any financial product.
- Quant Nova does not provide managed accounts, discretionary trading, asset management or advisory services. We do not make trading decisions for you, and we never handle, hold or control your funds — every trade is executed by you, independently, in your own exchange account, at your own risk.
- We do not guarantee or promise any profit, income or performance. Backtested, simulated and historical results do not indicate future results; actual outcomes may differ materially — including losses — due to market conditions, fees, slippage, funding costs and execution timing.
- "Copy trading" is a feature provided by the exchange itself: through the exchange's own copy-trading product you choose to follow our publicly shared strategy, and the exchange automatically mirrors orders in your own account according to the parameters you set. Your funds stay in — and under the control of — your own exchange account at all times; Quant Nova never handles, manages or can access them. You can adjust or stop copying at any time, and the associated risk and results are yours.
- Any live records shown here come from our own team trading with our own capital on each exchange, published solely for research validation and transparency. They do not represent any client account and are not a guarantee of returns.
- Crypto and derivatives (contract) trading is a high-risk, high-leverage activity with sharp price swings that can lead to partial or total loss of principal. Use only spare capital you can fully afford to lose.
- Any decision is yours alone and should be assessed against your own financial situation, risk tolerance and objectives; consult a qualified professional adviser where appropriate. Past performance and the information here should not be your sole basis for any decision.
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