TA-MR Basic: Trading Signals for Market Timing

For maximum responsiveness, the model's historical implementation uses the S&P 500 Futures Contract, which can trade outside regular U.S. equity-market hours. An investor could choose another S&P 500-linked instrument such as SPY or VOO, but differences in trading hours, tracking, financing, taxes, and execution can cause realized results to diverge from the modeled record. The model state alternates between 100% S&P 500-linked market exposure and 100% cash. A sell signal can also be used as a hedge overlay rather than a full liquidation, but hedge sizing and tax effects depend on the user's implementation and are not modeled here.

TA-MR Basic is our most frequently trading model with 585 total trades over the 17.49 year period. On average, the model made one trade per 7.53 trading days. However, the trades are not uniformly distributed; during periods of higher market volatility, more trades were made compared to relatively calm periods.

TA-MR Basic has a reviewed historical trade win rate of 89.57%. Because the strategy uses relatively frequent mean-reversion trades, win rate is only one part of the profile; average gains and losses, drawdown, turnover, and implementation costs matter too. A historical hit rate does not imply that future trades will behave the same way.

This model focuses on searching for mean reversion opportunities, a theory used in finance that suggests that asset price volatility and historical returns eventually will revert to the long-run mean or average level of the entire dataset.

Indicator Overview

A few of the indicators this model uses behind the scenes are:

1. Bollinger Bands
2. Chande Momentum Oscillator (CMO)
3. Relative Strength Index (RSI)

The model uses these and other indicators across varying time windows to identify short-horizon mean-reversion entries. During development, candidate relationships are evaluated with a proprietary anti-overfitting workflow that uses machine learning and heuristics. The process is intended to reduce overfitting risk; it cannot prove that a historical relationship will persist out of sample.

Indicator Analysis

Technical analysis (TA) is a trading discipline used to identify trading opportunities by analyzing statistical trends gathered from trading activity, such as price movement and volume. In aggregate, TA is about analyzing the psychology of market participants through their transactions. Some examples of TA used in this model:

• Bollinger Bands with RSI and SMA synchronicity on multiple time frames. Bollinger Bands (BB) draw two lines around a simple moving average (SMA) based on a positive and negative standard deviation. During times of volatility, the bands widen and then contract when volatility subsides. When price moves well outside the bands in either direction, it can be a warning sign that the price action has been unsustainable and that price is likely to mean-revert back inside the bands soon. Combining these extreme movements with the relative strength index (RSI) as well as where the current price rests in relation to important SMAs (such as 20 day, 50 day and 200 day) can be a tip to the model that we are likely near a local minima or maxima.
• Chande Momentum Oscillator (CMO) uses momentum to identify relative strength or weakness, classifying periods by degree of overbought or oversold. By itself, CMO can be noisy, but when combined with RSI, SMA, BB width and other TA indicators and analyzed across multiple time frames for synchronicity, it can be a valuable tool in guiding the model to certain signals.

TA-MR Basic has an estimated annual CAGR of 17.50% in the published model ledger. For market context, the continuous ES futures close-price series changed at an annualized rate of 13.53% over the same sample. That price series is not an investable buy-and-hold result or an S&P 500 total-return index. It does not capture the economics of rolling a futures position, dividends, or the costs of implementing a passive strategy. The model ledger itself uses a illustrative long-or-cash simulation, not a broker-reconciled account. Its backtest and subsequent recorded live signals are different kinds of evidence; execution, taxes, financing, and other costs can materially change the result.

The published model ledger estimates a historical maximum drawdown of -25.30%. This figure comes from the historical model-account simulation and is not a broker-reconciled record of futures trading. It should not be interpreted as a maximum possible loss or as a verified improvement over an S&P 500 benchmark. Future drawdowns could be larger, especially once actual contract rolls, costs, and implementation differences are considered.