Effective Date: February 14, 2026 | BENED LLC
SIMULATED RESULTS ARE NOT INDICATIVE OF FUTURE PERFORMANCE.
All performance data shown in the Compendium is based on backtested simulations using historical price data. These simulations do NOT account for:
Past performance, whether real or simulated, does not guarantee future results.
This document provides complete transparency about the trading strategies available through TradeCraft's Compendium. We believe users should fully understand the algorithms that will manage their capital before deploying them.
This disclosure covers:
The Compendium is a collection of 30 trading characters, each representing a distinct algorithmic trading strategy. Each character has been simulated against 114+ stock and crypto symbols using 2 years of historical minute-level data (February 2024 – February 2026).
Characters are given memorable persona names (e.g., "Marcus," "Elena," "Viktor") to make strategy selection more intuitive. However, these are algorithmic strategies, not human traders or AI advisors.
Below are the primary strategy types employed by Compendium characters. Each character may use one or more of these approaches.
This strategy identifies oversold conditions using the Relative Strength Index and enters long positions when RSI is low and a reversal candlestick pattern appears.
RS = Average Gain over N periods / Average Loss over N periods
RSI = 100 - (100 / (1 + RS))
Where N = lookback period (typically 14)
1. RSI(14) < 35 (oversold condition)
2. Hammer candlestick pattern detected:
- Lower shadow ≥ 2× body size
- Upper shadow ≤ 0.3× body size
- Candle is bullish (close > open)
3. Price above minimum threshold ($5)
4. Volume above minimum threshold
- Take Profit: 4% gain from entry
- Stop Loss: 2% loss from entry
- Trailing Stop: Activates at 2% profit, trails by 1%
Risks: Mean reversion strategies can suffer significant losses during strong trending markets. An "oversold" stock can continue falling.
Uses exponential moving average crossovers to identify trend changes.
EMA = Price(today) × k + EMA(yesterday) × (1 - k)
Where k = 2 / (N + 1), N = period length
Common periods: 9, 21, 50, 200
BUY: Fast EMA crosses ABOVE Slow EMA
SELL: Fast EMA crosses BELOW Slow EMA
Risks: Crossover strategies generate false signals in choppy, sideways markets. Lag in moving averages can result in late entries and exits.
Uses price deviation from a moving average to identify overbought/oversold conditions.
Middle Band = SMA(20)
Upper Band = SMA(20) + (2 × Standard Deviation)
Lower Band = SMA(20) - (2 × Standard Deviation)
BUY: Price touches or crosses below Lower Band
SELL: Price touches or crosses above Upper Band
Risks: Strong trends can cause prices to "walk the bands," triggering premature entries against the trend.
Moving Average Convergence Divergence identifies momentum shifts.
MACD Line = EMA(12) - EMA(26)
Signal Line = EMA(9) of MACD Line
Histogram = MACD Line - Signal Line
BUY: MACD Line crosses above Signal Line
SELL: MACD Line crosses below Signal Line
Risks: Like all momentum indicators, MACD is a lagging indicator and may miss the best entry points.
Incorporates trading volume as confirmation for price movements.
VWAP = Σ(Price × Volume) / Σ(Volume)
Cumulative throughout the trading session
Risks: Volume patterns that worked historically may not persist. Low-volume stocks may have unreliable VWAP signals.
| Parameter | Value |
|---|---|
| Data Type | 1-minute and 5-minute OHLCV candles |
| Data Range | February 2024 – February 2026 (2 years) |
| Total Candles | 10.1+ million |
| Symbols | 114+ US stocks, ETFs, and cryptocurrencies |
| Source | Polygon.io (historical) / Alpaca Markets (live) |
| Parameter | Value |
|---|---|
| Starting Capital | $10,000 / $25,000 / $100,000 |
| Position Sizing | 10% of portfolio per trade |
| Max Concurrent Positions | Varies by strategy |
| Slippage Simulation | Not included |
| Commission Simulation | Not included |
For complete transparency, the core strategy implementations are available for review upon request. Each character page in the Compendium includes a "Code Verified" badge linking to the exact source file, function, and line numbers implementing that strategy.
This disclosure will be updated whenever:
Users are encouraged to review this disclosure periodically.
If you have questions about any strategy, formula, or implementation detail, please contact us:
Email: legal@benedllc.com
Company: BENED LLC