Montealgos · portfolio_ccex1_v1

179 strategies. 9 years. One equity curve.

portfolio_ccex1_v1 is a systematic portfolio of 179 algorithmic strategies (139 long, 40 short) trading 71 crypto perpetual pairs. With every trade on one timeline from Aug 2017 to Oct 2026, the simulated equity returned +1,678.80% (+36.82% a year) over 26,411 trades, with a maximum drawdown of −6.38%.

portfolio_ccex1_v1 · since +1,678.80% $17,788.03 ·
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  • Total return+1,678.80%
  • Per year+36.82%
  • Max drawdown−6.38%
  • Trades26,411

portfolio_ccex1_v1

portfolio_ccex1_v1: from $1,000.00 to $17,788.03.

portfolio_ccex1_v1 is a systematic portfolio of 179 algorithmic strategies (139 long, 40 short) trading 71 crypto perpetual pairs. With every trade on one timeline from Aug 2017 to Oct 2026, the simulated equity returned +1,678.80% (+36.82% a year) over 26,411 trades, with a maximum drawdown of −6.38%.

Strategies
179 139 long · 40 short
Pairs
71 USDT perpetuals
Period
→
Risk per trade
2% of equity · grids up to 23.44%

Three windows

Fitted, then unseen, then now.

Each strategy splits its own history: it is optimized on the oldest part, then replays the rest unseen, then keeps running until today. The windows below compound only the trades of each phase; the curve beside them keeps the out of sample trades alone, +102.67% since .

+102.67% Out of sample · Forward + live trades only
  1. In sample →

    Backtest

    The in sample trades: the data each of the 179 strategies was optimized on, between and . Every strategy was fitted on its own slice, so it is the most flattering window by construction: 19,247 trades, a profit factor of 2.77 and 100% of the strategies finishing in profit.

    Return
    +777.66%
    Max drawdown
    −6.38%
    Profit factor
    2.77
    Win rate
    63.73%
    Trades
    19,247
    Annualized
    +30.00%
  2. Out of sample →

    Forward test

    The candles each strategy never saw during its optimization, between and . Nothing was re-optimized: the same strategy objects replay unseen data. 92% of the strategies closed the window in profit, and these trades alone returned +97.01% with a −2.42% worst drawdown.

    Return
    +97.01%
    Max drawdown
    −2.42%
    Profit factor
    2.09
    Win rate
    67.84%
    Trades
    4,555
    Annualized
    +37.21%
  3. Most recent →

    Live window

    The most recent trades, after each strategy's forward test and until today, closest to the current market regime. 84% of the strategies traded, 53% are in profit, and these trades are up +2.81% with a profit factor of 1.39.

    Return
    +2.81%
    Max drawdown
    −1.27%
    Profit factor
    1.39
    Win rate
    47.57%
    Trades
    2,609
    Strategies in profit
    53%

Underwater curve

How far the equity sat below its previous high, week by week. The deepest point, −6.38%, ran from to ; the longest stretch without a new high lasted 107 days.

Max drawdown
−6.38%
Longest underwater
107 days
Sharpe (daily)
3.06
Positive months
61.3%

Returns

Year by year, month by month.

Calendar returns of the equity, every trade included. 61.3% of months closed positive; the best was January 2021 at +30.55% and the worst August 2024 at −4.54%.

  1. 0.00% 2017*
  2. 0.00% 2018
  3. −0.01% 2019
  4. +47.64% 2020
  5. +104.68% 2021
  6. +22.77% 2022
  7. +31.07% 2023
  8. +101.18% 2024
  9. +42.08% 2025
  10. +27.98% 2026*

* partial calendar year: the data starts and ends .

portfolio_ccex1_v1 monthly returns in percent, 2017–2026
YearJanFebMarAprMayJunJulAugSepOctNovDecYear
2017No dataNo dataNo dataNo dataNo dataNo dataNo data0.000.000.000.000.00 0.00%
20180.000.000.000.000.000.000.000.000.000.000.000.00 0.00%
20190.000.000.000.000.000.000.000.000.000.000.000.00 −0.01%
20200.091.550.323.071.89−0.596.336.990.970.6412.007.11 +47.64%
202130.5511.781.9218.491.07−0.625.473.18−2.052.812.662.79 +104.68%
2022−0.810.998.241.543.891.700.780.183.79−0.600.800.51 +22.77%
20230.083.49−0.470.000.212.233.222.646.001.326.302.61 +31.07%
20241.295.2414.32−2.602.460.591.72−4.543.55−0.0428.7427.10 +101.18%
2025−0.882.302.26−0.915.380.804.980.72−1.6210.2311.781.58 +42.08%
202611.040.011.433.901.292.251.020.825.37−1.61No dataNo data +27.98%

The book

Where the returns come from.

179 strategies across 71 pairs, risking 2% of equity per trade, up to 23.44% for a fully filled grid. The 14 grid strategies scale in level by level, so their exposure grows as the price moves against them. No single pair is allowed to carry the book: exposure is capped per symbol and per direction, and the share of profit below shows how evenly the result is spread.

Long 69.4% of profit · 139 strategies · 17,521 trades · 60.3% win
Short 30.6% of profit · 40 strategies · 8,890 trades · 67.8% win

Share of profit by pair

portfolio_ccex1_v1 profit contribution, trades and win rate per pair
PairShare of profitTradesWin rate
XRP +10.27% 1,613 57.4%
DASH +9.52% 408 92.2%
KSM +8.66% 841 80.4%
NMR +8.38% 750 90.3%
THETA +6.47% 1,848 65.0%
HBAR +6.18% 1,183 62.5%
XVG +6.08% 318 86.5%
ZEC +5.62% 830 83.1%
VET +4.62% 1,390 63.8%
XLM +3.41% 1,194 61.9%
KAVA +3.06% 584 78.1%
NEO +2.37% 998 71.2%
LTC +1.99% 609 70.9%
AXS +1.57% 688 54.6%
RUNE +1.47% 706 49.1%
CRV +1.45% 291 51.5%
ZIL +1.39% 461 83.3%
EGLD +1.21% 575 55.5%
1000FLOKI +1.14% 219 51.1%
NEAR +0.85% 232 49.6%
ENJ +0.83% 186 52.1%
DUSK +0.82% 590 52.7%
WLD +0.71% 236 50.0%
COMP +0.69% 672 55.5%
1000BONK +0.69% 125 55.2%
1000PEPE +0.67% 196 50.0%
QTUM +0.64% 622 51.5%
GRT +0.58% 353 60.1%
BTC +0.43% 519 61.1%
IOST +0.42% 98 59.2%
IOTA +0.41% 77 57.1%
ETH +0.33% 219 61.6%
STEEM +0.32% 191 71.7%
STX +0.31% 111 69.4%
COTI +0.29% 127 57.5%
GALA +0.27% 146 54.1%
SNX +0.26% 54 61.1%
OGN +0.25% 260 62.7%
RVN +0.25% 300 55.7%
YFI +0.24% 119 55.5%
CHR +0.24% 164 62.8%
STG +0.24% 110 64.5%
PEOPLE +0.23% 115 59.1%
TRX +0.21% 724 52.4%
SKL +0.21% 98 49.0%
BEL +0.21% 414 49.5%
IMX +0.20% 55 52.7%
LQTY +0.20% 399 54.4%
ALGO +0.19% 109 49.5%
CELO +0.19% 101 59.4%
DYDX +0.19% 56 78.6%
INJ +0.19% 234 48.7%
T +0.19% 57 77.2%
SSV +0.19% 160 58.8%
BICO +0.19% 76 54.0%
UNI +0.17% 200 54.5%
SUSHI +0.16% 177 65.5%
BNB +0.14% 257 53.3%
RSR +0.14% 113 62.8%
CAKE +0.14% 119 52.9%
ETC +0.13% 79 46.8%
APE +0.13% 467 56.3%
LUNA2 +0.13% 95 43.2%
GMT +0.12% 91 68.1%
MAGIC +0.12% 65 63.1%
XTZ +0.11% 574 56.1%
BIGTIME +0.09% 62 66.1%
ROSE +0.07% 60 71.7%
ID +0.07% 129 57.4%
RLC +0.06% 51 68.6%
LINK +0.05% 61 62.3%

Exposure budget

Maximum risk the portfolio can hold on each pair at once, every grid fully filled, within its trading filters (long: 55% per pair, 500% in total, 2 grids open at once; short: 55% per pair, 250% in total, 2 grids open at once): 306.88% long and 116.88% short in total, against 460.64% and 187.20% if every strategy were open together. A position the filters can't fit is skipped, all of its levels with it.

  • −2% XRP +49.44%
  • −25.44% THETA +18%
  • 0 VET +43.44%
  • −2% HBAR +35.44%
  • 0 XLM +37.44%
  • 0 ZEC +25.44%
  • −25.44% LTC 0
  • −2% NEO +23.44%
  • −25.44% KAVA 0
  • −25.44% KSM 0
  • 0 DASH +23.44%
  • 0 XVG +23.44%
  • −23.44% NMR 0
  • 0 ZIL +17.12%
  • 0 BTC +12%
  • −2% QTUM +10%
  • −2% RUNE +10%
  • −2% EGLD +10%
  • −2% AXS +10%
  • 0 COMP +8%
  • −6% GRT +2%
  • 0 ETH +6%
  • 0 DUSK +6%
  • 0 ENJ +6%
  • 0 WLD +6%
  • 0 CRV +6%
  • −2% 1000FLOKI +4%
  • −2% STEEM +2%
  • −2% LQTY +2%
  • −2% RVN +2%
  • 0 COTI +4%
  • −2% SUSHI +2%
  • 0 1000BONK +4%
  • 0 1000PEPE +4%
  • 0 NEAR +4%
  • 0 TRX +4%
  • 0 GALA +4%
  • 0 BICO +2%
  • 0 STX +2%
  • 0 YFI +2%
  • 0 INJ +2%
  • 0 CAKE +2%
  • 0 PEOPLE +2%
  • 0 STG +2%
  • 0 IOTA +2%
  • 0 UNI +2%
  • 0 SNX +2%
  • 0 IMX +2%
  • 0 SKL +2%
  • 0 ALGO +2%
  • 0 LUNA2 +2%
  • 0 BIGTIME +2%
  • 0 BNB +2%
  • 0 ETC +2%
  • 0 IOST +2%
  • −2% RLC 0
  • −2% ROSE 0
  • −2% GMT 0
  • −2% T 0
  • −2% SSV 0
  • −2% CELO 0
  • −2% DYDX 0
  • −2% MAGIC 0
  • −2% RSR 0
  • −2% ID 0
  • −2% CHR 0
  • −2% APE 0
  • −2% LINK 0
  • −2% XTZ 0
  • −2% OGN 0
  • −2% BEL 0

More portfolios

The other portfolios, measured the same way.

  • → +103.64%

    portfolio_ccex0_v3

    Strategies
    134
    Per year
    +8.05%
    Max DD
    −1.16%
    Pairs
    22

All portfolios →

Method

How to read these numbers.

What are the backtest, forward test and live window?

Three consecutive periods of each strategy's own history, so their dates differ from one strategy to another. The backtest (from Aug 2017) is the in sample data the strategy parameters were optimized on. The forward test (between Aug 2024 and Oct 2026 depending on the strategy) is strictly out of sample: the same strategies replay candles they were never fitted on. The live window (from Nov 2025 to Oct 2026) runs from the end of each forward test until today, closest to the current market regime.

How is the portfolio equity calculated?

Every portfolio starts from a $1,000.00 notional. Each closed trade moves equity by 2% of the current equity multiplied by that trade's return, so gains compound and every strategy carries the same fixed risk, except the grid strategies: each of their levels takes its own share of the equity, up to 23.44% once the grid is fully filled. Trading filters cap the risk open per pair, per direction and in total: a position that would break them is skipped, as the live executer would. Fees and slippage assumptions are applied to every trade. All the trades of all the strategies share one timeline, whatever their window; each window is also measured alone, compounding only its own trades.

How are strategies selected into a portfolio?

Candidates go through nine gates — generation, backtest, optimization, forward test, live test, stability, Monte Carlo permutations, selection and execution — and only the survivors are eligible. Selection then balances score against correlation, time in market and exposure per symbol, so the portfolio holds a spread of pairs, timeframes and directions. The full pipeline is described on the home page.

Are these live trading results?

No. All three windows are simulated results produced by the Montealgos research pipeline, net of fee and slippage assumptions. Simulated results have inherent limitations and are not a reliable indicator of future performance. Nothing on this page is investment advice or an offer of any financial product.

How often is this page updated?

The page is generated from the research pipeline whenever the portfolio runs are refreshed. The current data ends on 23 October 2026.

Backtest, forward test and live window figures are simulated results produced by our own research pipeline over the periods stated, net of fees and slippage assumptions. Simulated results have inherent limitations and are not a reliable indicator of future performance. Nothing on this page is investment advice or an offer of any financial product.

Let's talk algos.

Questions about a portfolio, the research behind it, or working together? We answer every serious message.

contact@montealgos.com