Shop For Backtested Futures Systems

Shop For Backtested Futures Systems

Backtested Futures Systems are employed to capitalize on market movements by buying or selling futures contracts. These futures strategies can be broadly categorized into three main types: trend following, mean reversion, and arbitrage. Trend-following strategies involve identifying and riding upward price trends, while mean-reversion strategies seek to profit from temporary price deviations from their long-term averages. Arbitrage strategies exploit discrepancies in prices across different markets or exchanges. Backtested Futures Systems offer the opportunity to profit from anticipating future price movements of assets like commodities, currencies, and stocks. However, it’s not without its risks as market fluctuations can dramatically impact your gains or losses. Understanding the market dynamics and employing appropriate Backtested Futures Systems can significantly enhance your decision-making and reduce the associated risks.

Each strategy comes with trading rules in plain English and a strategy code of your choice. Available right now are Amibroker, Tradestation, and plain English. (Tradingview and Python are on demand for a small fee.) (It is important to note that while every effort has been made to ensure the accuracy of the information provided, we cannot guarantee that the results

Table of contents:

Our best futures trading Systems sale list

Each Futures Trading Strategy comes with trading rules in plain English and strategy code for Tradestation/Easy Language. Commissions and slippage are not included in the backtests (estimated commissions and slippage).

PRICES

Price List

    Backtested Futures Systems

    All backtests are from the year 2000 or inception.

    F100: Swing Trade Nasdaq100, S&P500 and Dow Jones

    The Futures Trading strategy works best for Nasdaq, SP500, and Dow Jones futures. It’s a mean reversion strategy, but you can apply the code for many other futures contracts.

    The backtest is done using Tradestation data from Chicago Mercantile Exchange (CME) on continuous and back-adjusted data and using exchange hours (0930-1600 NYT).

    The backtest trades at the close, is based on daily bars, and is from the contract’s inception until today. The strategy can also be traded on tomorrow’s open, but performs slightly worse with this setting.

    The code is in plain English and TradeStation, Amibroker, Python, Metatrader, Ninjatrader, and Tradingview (contact us for other options).

    The equity curve (@NQ.D):

    May 2024 ☝️

    Performance metrics (@NQ.D):

    F101: Swing Trade @ES/S&P 500

    The strategy works best for @ES.D and is a mean reversion strategy.

    The backtest is done using Tradestation data from Chicago Mercantile Exchange (CME) on continuous and back-adjusted data and using exchange hours (0930-1600 NYT).

    The code is in plain English and TradeStation, Amibroker, Python, Metatrader, Ninjatrader, and Tradingview (contact us for other options).

    The equity curve (@ES.D):

    Performance metrics (@ES.D):

    F102: Overnight DAX, @FDAX

    The strategy works best for @FDAX and is a mean reversion strategy.

    The backtest uses Tradestation data from Eurex on continuous and back-adjusted data and local (German) exchange hours (0900-1730 CET). It buys at the close at 1730 and sells the next morning at 0900.

    The code is in plain English and TradeStation, Amibroker, Python, Metatrader, Ninjatrader, and Tradingview (contact us for other options).

    The equity curve (@FDAX):

    Performance metrics (@FDAX):

    F103: WEEKDAY SEASONAL STRATEGY, @ES,D

    The strategy works best for @ES.D and is a mean reversion strategy.

    The backtest uses Tradestation data from CME on continuous and back-adjusted data and local exchange hours (0930-1600 NYT). It buys and sells at the close.

    The code is in plain English and TradeStation, Amibroker, Python, Metatrader, Ninjatrader, and Tradingview (contact us for other options).

    The equity curve (@ES.D):

    Performance metrics (@ES.D):

    F104: Overnight Strategy, @ES,D

    The strategy works best for @ES.D and is a mean reversion strategy.

    The backtest uses Tradestation data from CME on continuous and back-adjusted data and local exchange hours (0930-1600 NYT). The strategy buys the close and sells at the close the next day (24 hours later).

    The code is in plain English and TradeStation, Amibroker, Python, Metatrader, Ninjatrader, and Tradingview (contact us for other options).

    The equity curve (@ES.D):

    Performance metrics (@ES.D):

    F105: Overnight trade for @ES.D and @NQ.D

    The strategy works best for @ES.D and is a mean reversion strategy.

    The backtest uses Tradestation data from CME on continuous and back-adjusted data and local exchange hours (0930-1600 NYT). The strategy buys the close and sells at the close the next day (24 hours later).

    The code is in plain English and TradeStation, Amibroker, Python, Metatrader, Ninjatrader, and Tradingview (contact us for other options).

    The equity curve (@ES.D):

    The equity curve (@NQ.D):

    Performance metrics (@ES.D):

    BondKiller (Long and Short)

    May 2024. ☝️

    VolumeTrader – 1122

    May 24

    Daytrading the Heating Oil Market (Short)

    Nasdaq and VXN (Tech-VIX)

    Short The Tech – A strategy exploiting the Tech sector

    DMI Defence – An Edge and strategy using DMI (ES)

    May 2024 ☝️

    Euro Fighter | Stoxx50 Trading Strategy

    May 24

    Canada Dollar – An Edge in the Loonie (CD)

    Corn Killer (@C)

    European Stoxx50 (FESX)

    German DAX (FDAX) – Gap and Short

    S&P 500 (ES.D) – Dipbuyer Since Year 2000 – 0122

    May 24

    Night Crawler S&P Midcap 400 | Backtest since 2003 (EMD.D)

    Overnight Star – An overnight edge since 1998 in equity Index (ES+SPY)

    OilTimer – An edge and market timer in Oil (Crude)

    Long Edge In Platinum Futures — (PL) – Trading strategy

    A Gasoline Day Trading Edge — (RB) – Trading strategy

    Financial ETF (Short) — (+SP500) – Trading strategy

    Robust Long-Short Strategy in SP500 (E-Mini Futures Trading)

    Powerful Edge In Lean Cattle Futures!

    Long Edge In Soybean Meal Futures

    June 24

    Simple Yet Powerful Edge In Swiss Franc Futures Trading Edge

    SP500 (E-mini and Micro) Trading Edge

    Platinum Futures Trading Strategy (PL) Trading Edge

    Copper Futures Trading Strategy (HG) Trading Edge – 1220

    May 24

    Treasury (TY) Trading Edge

    Edge in Crude Oil Trading Edge – 1020

    May 24

    Swiss Franc Trading Strategy

    Soybean Meal Day Trading Strategy

    You can read more about the edge here. Daytrader In Soybean Meal Futures

    Gold Day Trading Strategy (GLD) 0720

    May 24

    Crude Oil (CL) – 0620

    Daytrading Strategy In Nasdaq (NQ) – 0520

    May 2024 ☝️

    0420 – US 30 Yr Treasury Bond – Catching Pullbacks

    May 2024 ☝️

    Cocoa Futures Trading Strategy (CC)

    May 2024 ☝️

    Heating Oil Trading Strategy (HO)

    Bonds Trading Strategy (US)

    Night Edge (SPY) 1912

    esnightedge2.png

    Gold Futures Trading Strategy Using Range Distribution

    Yg1.png

    • May 2024 ☝️

    British Pounds Futures Trading Strategy – Average True Range

    British-pounds-edge-1.png

    All the Futures Trading Systems are taken from our main page on this website where we have free and profitable trading strategies.

    This blog delves into the top 10 trading methods to empower you to trade with greater confidence and minimize potential losses.

    Disclaimer

    Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Commissions and slippage are not included, and most trading signals are triggered at the close. Also, since the trades have not been executed, the results may have under or overcompensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs, in general, are also subject to the fact that they are designed with the benefit of hindsight. No representations are made that any account will or is likely to achieve profit or losses similar to those shown from these futures trading strategies.

    Quantified Strategies (SIA Lofjord) is not an investment advisor. The content and information provided are educational and should not be treated as financial advisory services or investment advice. Trading and investment in securities involve substantial risk of loss and is not recommended for anyone that is not a trained trader or investor – it shall be conducted at your own risk. It is recommended that you never risk more than you are willing to lose. Leverage can lead to substantial losses. Any use of leverage, margin, or shorting is at your discretion. Quantified Strategies (SIA Lofjord) is not responsible for any losses that occur as a result of its content and information. Always use a demo account for many months before you do live trading. Trading requires hard and systematic work – there is no easy money.

    Read the full Disclaimer here.

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