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Each algorithmic strategy corresponds to a real trading agent (Trading Bot) created by the DevioLab team from historical-data testing. It can be used for automated trading through supported exchange APIs — Binance, OKX, Bybit, Gate.io, KuCoin and others as they are enabled — or as a Signal Bot with Telegram and email notifications.
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A · Agilent Technologies Inc. (4) AAOI · Applied Optoelectronics Inc. (5) AAPL · Apple Inc. (7) ABBV · AbbVie Inc. (4) ABNB · Airbnb Inc. (4) ABT · Abbott Laboratories (4) ACGL · Arch Capital Group Ltd. (4) ACN · Accenture PLC Class A (4) ADBE · Adobe Inc. (3) ADI · Analog Devices Inc. (4) ADM · Archer-Daniels-Midland Company (4) ADP · Automatic Data Processing Inc. (4) ADSK · Autodesk Inc. (4) AEE · Ameren Corporation (4) AEP · American Electric Power Company, Inc. (4) AES · The AES Corporation (3) AFL · Aflac Incorporated (4) AIG · American International Group, Inc. (4) AIZ · Assurant Inc. (4) AJG · Arthur J. Gallagher & Co. (4) AKAM · Akamai Technologies Inc. (4) ALAB · Astera Labs, Inc. (7) ALB · Albemarle Corporation (4) ALGN · Align Technology Inc. (4) ALL · The Allstate Corporation (4) ALLE · Allegion plc (4) ALNY · Alnylam Pharmaceuticals, Inc. (4) AMAT · Applied Materials Inc. (7) AMCR · Amcor plc (4) AMD · Advanced Micro Devices Inc. (7) AME · AMETEK, Inc. 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(4) BDX · Becton, Dickinson and Company (4) BE · Bloom Energy Corp. (5) BEN · Franklin Templeton Inc. (4) BF.B · Brown-Forman Corp. (4) BG · Bunge Global SA (4) BIIB · Biogen Inc. (4) BK · The Bank of New York Mellon Corporation (4) BKNG · Booking Holdings Inc. (4) BKR · Baker Hughes Company (4) BLDR · Builders FirstSource Inc. (3) BLK · BlackRock Inc. (4) BMNR · BitMine Immersion Technologies, Inc. (5) BMY · Bristol-Myers Squibb Company (3) BNY · Bank of New York Mellon Corp. (3) BR · Broadridge Financial Solutions, Inc. (4) BRK.B · Berkshire Hathaway Inc. Class B (4) BRO · Brown & Brown Inc. (4) BSX · Boston Scientific Corp. (3) BX · Blackstone Inc. (4) BXP · BXP, Inc. (4) C · Citigroup Inc. (4) CAH · Cardinal Health Inc. (4) CARR · Carrier Global Corp. (4) CASY · Casey's General Stores, Inc. (4) CAT · Caterpillar Inc. (4) CB · Chubb Limited (4) CBOE · Cboe Global Markets Inc. (4) CBRE · CBRE Group Inc. (4) CCEP · Coca-Cola Europacific Partners PLC (4) CCI · Crown Castle Inc. (4) CCL · Carnival Corporation Ltd. (4) CDNS · Cadence Design Systems, Inc. (4) CDW · CDW Corporation (3) CEG · Constellation Energy Corporation (4) CF · CF Industries Holdings, Inc. (4) CFG · Citizens Financial Group Inc. (4) CHD · Church & Dwight Co., Inc. (4) CHRW · C.H. Robinson Worldwide Inc. (4) CHTR · Charter Communications Inc. (4) CI · The Cigna Group (4) CIEN · Ciena Corporation (4) CINF · Cincinnati Financial Corporation (3) CL · Colgate-Palmolive Co. (4) CLX · The Clorox Company (4) CMCSA · Comcast Corp. (4) CME · CME Group Inc. (4) CMG · Chipotle Mexican Grill, Inc. (4) CMI · Cummins Inc. (4) CMS · CMS Energy Corporation (3) CNC · Centene Corp. (4) CNP · CenterPoint Energy, Inc. (4) COF · Capital One Financial Corp. (4) COHR · Coherent Corp. (7) COIN · Coinbase Global Inc. (3) COO · The Cooper Companies, Inc. (3) COP · ConocoPhillips (4) COR · Cencora Inc. (4) COST · Costco Wholesale Corporation (4) CPAY · Corpay Inc. (4) CPRT · Copart, Inc. (4) CPT · Camden Property Trust (4) CRCL · Circle Internet Group Inc. (5) CRDO · Credo Technology Group Holding Ltd (8) CRH · CRH plc (4) CRL · Charles River Laboratories International, Inc. (4) CRM · Salesforce, Inc. (4) CRWD · CrowdStrike Holdings, Inc. (4) CSCO · Cisco Systems Inc. (4) CSGP · CoStar Group, Inc. (4) CSX · CSX Corporation (4) CTAS · Cintas Corporation (4) CTSH · Cognizant Technology Solutions Corp. (3) CTVA · Corteva Inc. (4) DELL · Dell Technologies Inc. (6) EWY · iShares MSCI South Korea ETF (6) FLNC · Fluence Energy, Inc. (7) GS · The Goldman Sachs Group, Inc. (6) HOOD · Robinhood Markets Inc. (7) IBM · International Business Machines Corporation (6) INTC · Intel Corporation (6) IREN · IREN Limited (7) LITE · Lumentum Holdings Inc. (6) META · Meta Platforms Inc. (7) MRVL · Marvell Technology, Inc. (6) MSFT · Microsoft Corporation (7) MSTR · Strategy Inc. (7) MU · Micron Technology Inc. (7) NFLX · Netflix Inc. (8) NOK · Nokia Corporation Sponsored ADR (7) NVDA · NVIDIA Corporation (7) PLTR · Palantir Technologies Inc. (7) PYPL · PayPal Holdings, Inc. (6) QQQ · Invesco QQQ Trust, Series 1 (6) RKLB · Rocket Lab Corporation (4) SKHY · SK hynix Inc. ADR (3) SMCI · Super Micro Computer Inc. (6) SMH · VanEck Semiconductor ETF (4) SNDK · Sandisk Corp. (4) SOXS · Direxion Daily Semiconductor Bear 3X Shares (3) SPCX · Space Exploration Technologies Corp. (3) TSLA · Tesla, Inc. (6) TSM · Taiwan Semiconductor Manufacturing Company Ltd. ADR (5) USAR · USA Rare Earth, Inc. (3)
Selected strategy overview

NOK · Nokia Corporation Sponsored ADR

Stock Universe · global stock market
USD · NYSE · XNYS · United States
NOK 0 +7078.16% 1TRAD-XCS0
Recommended by DevioLab · Core 1 iPrimary DevioLab recommendation: a more protected, smoother and more stable profile focused on risk and drawdown control.
Recommended by DevioLab · Core 2 iMore aggressive DevioLab recommendation: accepts higher risk and deeper drawdowns in exchange for potentially higher returns.
28Trades
92.9%Win rate
+18.98%Avg trade
+136.75%Best trade
-8.86%Worst trade
+553.5%Annualized
Strategy analytical profile · dd81ca5bf9518cc4

Systematic Analysis of the Algorithmic Strategy for NOK · Nokia Oyj

An analytical study of the top-ranked algorithmic trading model for Nokia Oyj (NOK) equity on the 15-minute timeframe. The strategy achieves a high win rate of 92.86%, a cumulative historical return of +7078.16%, and a strictly controlled maximum drawdown of 8.86% across nearly seven years of evaluated history.

Analysis as of 21.08.2026. Strategy data is updated separately.
Read full analysis

Strategy profile

This algorithmic trading model was engineered for trading Nokia Oyj shares (ticker symbol NOK) on the stock market using a 15-minute chart interval. According to the internal DevioLab ranking system, this specific setup holds the number one rank for this asset with an overall analytical score of 86.98. The strategy belongs to the class of highly selective, low-frequency quantitative models that seek substantial market moves while filtering out structural noise. Over the full historical evaluation window from September 16, 2019, to August 20, 2026 (spanning 6.93 years), the strategy registered only 28 completed trades, confirming its patient position-taking methodology.

Trading rhythm and position duration

The execution rhythm of the algorithm is marked by extreme selectivity, executing an average of just 4.04 trades per year. In the provided dataset, specific numerical values for average and median holding hours, as well as the exact spacing between trade exits, are not specified, which precludes precise measurement of intraday holding periods. However, the low annual trade count demonstrates that this strategy is far from scalping; it operates as an opportunistic swing mechanism waiting for high-probability setups on the 15-minute timeframe.

Quality of historical results

The quality of closed historical trades shows strong statistical edge. Out of 28 completed positions, 26 were profitable, yielding a win rate of 92.86%. Total historical net profit across the dataset reached +7078.16%, supported by a robust profit factor of 5.31. The average return per trade stands at +19.13%, while the median return per trade is +10.35%. The single best trade achieved a gain of +136.75%. Notably, the top three winning trades generated 49% of the total gross profit, pointing to significant reliance on large outlier winning moves.

Risk, drawdown and losing behavior

Risk preservation is a standout feature of this quantitative model. The maximum historical peak-to-trough equity drawdown was kept to 8.86%, which is unusually low for a strategy producing a multi-thousand percent cumulative return. Across the entire 6.93-year backtest, the algorithm experienced only 2 losing trades in total, with the single worst trade losing -8.86%. The maximum consecutive losing streak was capped at 1 trade, whereas the maximum winning streak reached 15 consecutive winning trades.

Behavior through time and yearly stability

Evaluating the strategy over extended timeframes reveals a model designed to maintain capital preservation during unfavorable market regimes. Although detailed year-by-year statistical breakdowns are not provided in the primary dataset, the ability to sustain a 15-trade winning streak indicates strong capital expansion during trending phases. Generating roughly 4.04 trades per year demonstrates that the logic avoids forcing transactions when market conditions fail to meet its parameters.

Recent period since 2024-06-01 versus full history

In the recent period monitored from June 1, 2024, to August 20, 2026, the strategy executed 0 trades, resulting in a net return of zero. This prolonged inactive stance indicates that price action in Nokia Oyj during this timeframe did not trigger the algorithm entry filters. While this inactivity protected equity from choppy price behavior, it highlights the necessity for operational patience when trading strict rule-based models.

Strengths and limitations

The primary strengths of this model include its outstanding win rate of 92.86%, a high profit factor of 5.31, minimal historical drawdown of 8.86%, and impressive total return of +7078.16%. The main limitation lies in the small sample size of 28 completed trades over nearly 7 years, which limits broader statistical confidence. Furthermore, 49% of gross profits came from the top 3 trades, and extended periods without trading activity require strict investor discipline.

DevioLab analytical conclusion

The NOK 15-minute algorithmic model presents an exceptional balance between downside protection and upside capture. Holding rank 1 for Nokia Oyj on DevioLab with a score of 86.98, the model stands out for its minimal drawdown profile and high win consistency. However, prospective observers must keep in mind the small trade sample size and low execution frequency. This evaluation represents a historical simulation research report and does not constitute financial or investment advice.

Data scope and methodology

This analysis is derived from simulated historical closed trade data for Nokia Oyj (NOK) between September 16, 2019, and August 20, 2026. All percentage metrics reflect hypothetical backtested performance. They do not represent live brokerage account returns, do not account for individual execution slippage or platform fee structures, and offer no guarantee of future trading performance.

Full strategy analysis