Fully Automated Trading Systems
FULLY AUTOMATED
TRADING SYSTEMS
Specializing in the research and development of quantitative trading strategies for active traders in the global financial markets.
Developed for Active traders
- Fully Automated Day Trade Strategies
- Multi-Strategy Automation & Portfolios
- Stock Indexes, Energies, Metals, Grains
- S&P, Nasdaq, Crude Oil, Gold, Soybeans
STRATEGY DEVELOPMENT PROCESS
Market Observations
Making many market observations is key to finding trading opportunities in the markets. Studying live data and historical static data are part of the process. Developing a relationship with the market and placing live trades with real risk in a test account is the best way to learn how the market works. Using short term discretionary techniques as well as scalping strategies, reveal more patterns than static data and SIM trading. The cost of developing fully automated trading strategies is typically much greater than optimizing a few indicator based strategies.
Strategy Coding
Learning to code takes time. Even experienced coders have to learn market dynamics in order to code a trading strategy for backtesting and live trading. Finding quick ways to backtest a long list of trading ideas is the best way to determine the direction of trading systems research. The ideas that are coded are based on market observations. Since the markets change frequently, coding new trading ideas can become a part of the daily process in keeping a trading systems portfolio relevant. More advanced languages can be used once the basic ideas have been developed.
Backtesting Trading Systems
Backtesting strategy ideas after market observations have been observed and the strategy has been coded is the last step before a strategy can be traded in live trading. The three most important factors that are considered in a strategy backtest is the equity curve, average trade profit, and net profit as a percent of drawdown. During the backtest, we have to consider realistic market conditions. For example, making sure there are no limit order rejects and the path inside the bar based on the parameters used represents an accurate backtest that can be repeated in live trading.
Developing Trading Systems for Live Trading
OBSERVE. CODE. TEST. TRADE
Trading Systems
Fully Automated Strategies for Live Trading
Stock Index Futures
E-mini S&P Strategies
- Cobra
- TICK Pulse
- AT Series
- Adaptive Moving Average
- TICK Pullback
- TICK Wave
- TICK Tendency
- Parabolic VSD
- TICK Reversal
- DT-M4
- Cobra CT
- SR CounterTrend
- TICK Count Trend
- TICK Fader
- Mirror
- Gap Fill
- Dynamic Tick Pullback
- Opening Chop
- TICK Chop
- Momentum Reversal
- Chop NEWS
- Gap Continuation and Reverse
- 60M Breakout
- 60M Breakout Short
- VSD
- After Hours
- VIX OC
- Asia IV
- NightTrader
- 72 S&P trading systems for Daytrade and Swing Trade using Trend, CounterTrend, and Mean Reversion
E-mini Nasdaq
- Cobra
- Viper
- Gap Continuation
- Stock Index Swing
- Robot
- AT Series
- QS III
- PR Breakout
- EVP-1
- VSD Divergence
- VT
- Parabolic VSD
- TICK Pulse
- TICK Count Trend
- TICK Pullback
- TICK Wave
- TICK Reversal
- TICK Tendency
- TICK Retracer
- Trend Select
- Trend Overlap
- TICK Long AGR
- Bounce Reversal
- GO Long
- OPV
- MAG 7
- SR CounterTrend
- Momentum Reversal
- Zig Zag
- 79 Nasdaq trading systems for Daytrade and Swing Trade using Trend, CounterTrend, and Mean Reversion
Energy Futures
Crude Oil
- SR CounterTrend
- Cobra
- Gap Fill and Reverse
- Crude Swing
Natural Gas
- SR CounterTrend
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RBOB
- SR CounterTrend
Metal Futures
Gold
- SR CounterTrend
- Cobra
- EVP
- Flash
Silver
- SR CounterTrend
-
Copper
- Copper Breakout
Grains and Softs
Soybeans
- SR CounterTrend
- Soybeans DayTrader
- Soybeans Swing
Coffee
- SR CounterTrend
- Coffee DayTrader
Trading Systems
Fully Automated Strategies for Live Trading
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