Introduction

In today’s dynamic cryptocurrency market, the relevance of a detailed Hedera Backtest cannot be overstated. This report offers an in-depth Hedera Backtest Report, analyzing Hedera Hashgraph’s (HBAR) performance across various technical strategies. Focusing on daily, hourly, and 15-minute charts, this Hedera Backtest employs a multitude of technical indicators like EMA, ADX, Bollinger Bands, and RSI to gauge the effectiveness of different trading strategies. By scrutinizing the frequency and success rates of these strategies, this HBAR Backtest Report aims to provide traders with a nuanced understanding of HBAR’s trading dynamics in distinct market scenarios.

Quick Summary

• Top-Performing Strategies: The daily chart’s EMA Bullish Crossover + ADX and the hourly and 15-minute charts’ Tri Trendmaster Buy shine in the Hedera Backtest.
• Moderate Success with High Frequency: Strategies such as Bollinger Bands (Buy/Sell + ADX) and Power Scalper Buy are prevalent in shorter time frames, as highlighted in the HBAR Backtest.
• Indicator Synergy: The HBAR Backtest Report shows that combining EMA with ADX often results in higher success rates.
• Scalping in Shorter Time Frames: Notably effective in the Hedera Backtest Report, especially in hourly and 15-minute charts.
• Fluctuating Success Rates: Across different time frames, the Hedera Backtest reveals the varying reliability of strategies, underscoring their market and time frame sensitivity.
• Increased Market Noise in Shorter Frames: A key observation in the HBAR Backtest Report is the higher signal frequency but lower success rates in shorter time frames.

Want some more backtest analyses? Check this out:
Ethereum Backtest — The Most Extensive Analysis!
XRP Backtest Report (15+ Ripple Trading Strategies & Signals)
Litecoin (LTC) Backtest Report (15+ Trading Strategies)

(HBAR) Hedera Backtest Report — Tradings Strategies & Signals — Daily Chart

Here are the detailed key takeaways from the Daily Chart:

1. Variety of Strategies: The table lists a variety of trading strategies based on different technical indicators. This includes EMA (Exponential Moving Average), ADX (Average Directional Index), Bollinger Bands, Stochastic, MACD (Moving Average Convergence Divergence), RSI (Relative Strength Index), and others. Each strategy is associated with either a buy or sell signal.
2. Signal Frequency and Success Rate:
   • EMA Bullish Crossover + ADX: Detected 3 times, with a 100% success rate. This is the most successful strategy in your dataset but has a very low frequency of signals.
   • High Frequency with Moderate Success: Strategies like ‘Bollinger Bands Sell’ (56.82% success, 88 signals) and ‘Power Scalper Buy’ (66.67% success, 84 signals) occur more frequently but with moderate success rates.
   • Balanced Strategies: Strategies like ‘Bollinger Stochastic Buy’ and ‘EMA Strategy Sell’ show a balance between frequency (40 and 25 signals, respectively) and success rate (over 70%).
3. EMA Crossovers: Both bullish and bearish EMA crossovers are present with identical success rates (66.67%) but vary in the addition of the ADX indicator, which seems to significantly improve the success rate in the bullish case.
4. Influence of ADX: Adding ADX to strategies often improves the success rate, as seen with ‘EMA Bullish Crossover + ADX’ (100%) and ‘MACD Bearish Crossover + ADX’ (64.29%), compared to their counterparts without ADX.
5. Bollinger Bands: This indicator is used in various combinations, with success rates ranging from 44.64% to 67.86%. This suggests Bollinger Bands are versatile but not consistently reliable across different strategies.
6. Stochastic, MACD, RSI: These are used both independently and in conjunction with ADX. Their success rates vary, with none exceeding 72.5%. This indicates that while useful, these indicators might be better when used in combination with others.
7. Scalping Strategies: Both ‘Hyper Scalper’ and ‘Power Scalper’ strategies are present, suggesting a focus on short-term trades. Their success rates are moderate to high but require a larger number of trades to be significant.
8. Zero Frequency Signals: Some strategies like ‘Hyper Scalper Sell’, ‘Tri Trendmaster Buy/Sell’ have a 0 frequency, meaning they either were not triggered in the period of the backtest or were ineffective.
9. Risk and Reward: The strategies with the highest success rates (e.g., EMA Bullish Crossover + ADX) are less frequent, which might imply higher risk versus reward scenarios. Frequent strategies provide more opportunities but with lower success rates.
10. Market Conditions Sensitivity: The effectiveness of these strategies is likely sensitive to market conditions. For instance, certain strategies might perform better in trending markets (e.g., EMA and ADX strategies) versus ranging markets (e.g., Bollinger Bands).

(HBAR) Hedera Backtest Report — Tradings Strategies & Signals — Hourly Chart

Here are the detailed key takeaways from the Hourly Chart:

1. Variety of Strategies: The table shows a range of trading strategies based on technical indicators such as EMA (Exponential Moving Average), ADX (Average Directional Index), Bollinger Bands, Stochastic, MACD (Moving Average Convergence Divergence), and RSI (Relative Strength Index). Each is associated with either a buy or sell signal.
2. Signal Frequency and Success Rate:
   • Tri Trendmaster Buy/Sell: Notably, these show a 100% success rate but with very low frequency (1 for buy and 0 for sell), indicating rare conditions or possibly overfitting.
   • High Frequency with Moderate Success: Strategies such as ‘Bollinger Stochastic Buy’ (57.96% success, 471 signals) and ‘Power Scalper Buy’ (56.87% success, 524 signals) are frequent but have moderate success rates.
   • Balanced Strategies: Strategies like ‘Hyper Scalper Buy’ (75% success, 36 signals) offer a balance between frequency and high success rate.
3. EMA Crossovers with ADX: EMA strategies combined with ADX, both bullish and bearish, show moderate success rates (around 57% and 63%, respectively), indicating the usefulness of ADX in enhancing signal reliability.
4. Bollinger Bands and ADX: When combined with ADX, Bollinger Bands strategies have a relatively high frequency and moderate success rates, suggesting their effectiveness in hourly trading.
5. Stochastic, MACD, RSI: These indicators are used in various combinations, with success rates generally around 50-60%. This suggests their utility in hourly trading, though they are not exceptionally high-performing in isolation.
6. Scalping Strategies: ‘Hyper Scalper’ and ‘Power Scalper’ strategies have a significant number of signals, indicating their applicability in shorter time frames like hourly charts. Their success rates are moderate, suggesting they are reasonably reliable.
7. RSI Strategies: The RSI indicator, both in overbought and oversold conditions, shows success rates around 50-56%, indicating a moderate level of reliability in these conditions.
8. MACD Strategies with ADX: These strategies have a slightly higher success rate than those without ADX, reinforcing the trend that combining indicators can improve performance.
9. Big Extender Strategies: These show a moderate number of signals with success rates slightly above 50%, suggesting they may not be as reliable as some other strategies.
10. Market Sensitivity: The effectiveness of these strategies can vary with market conditions. Hourly charts may reflect shorter-term trends and market sentiments, potentially affecting the reliability of these signals.
11. Risk and Reward: Higher frequency strategies offer more trading opportunities but with lower success rates. Conversely, strategies with fewer signals tend to have higher success rates but may entail higher risk and require more precise timing.
12. Zero Frequency Signals: ‘Tri Trendmaster Sell’ had a success rate listed but a zero frequency, which might indicate an error or a very specific condition not met during the backtest period.

(HBAR) Hedera Backtest Report — Tradings Strategies & Signals — 15-Minute Chart

Here are the detailed key takeaways from the 15-minute chart:

1. Variety of Strategies: The strategies include EMA (Exponential Moving Average), ADX (Average Directional Index), Bollinger Bands, Stochastic, MACD (Moving Average Convergence Divergence), RSI (Relative Strength Index), and others, each generating buy or sell signals.
2. Signal Frequency and Success Rate:
   • High Success but Low Frequency: ‘Tri Trendmaster Buy’ (80% success, 5 signals) and ‘Hyper Scalper Sell’ (70% success, 110 signals) show high success rates but vary greatly in frequency.
   • High Frequency with Moderate Success: Strategies like ‘Bollinger Bands Buy + ADX’ and ‘Bollinger Bands Sell + ADX’ have very high frequencies (997 and 1023 signals, respectively) with moderate success rates (around 55-60%).
3. EMA and ADX Combinations: Similar to the hourly chart, combining EMA with ADX shows moderate success rates (around 55-57%), indicating a beneficial combination in shorter time frames.
4. Bollinger Bands and Stochastic: These are the most frequently used indicators with high signal occurrences but moderate success rates (around 54-56%). This could suggest their applicability in capturing market movements in short time frames.
5. Scalping Strategies: The ‘Hyper Scalper’ and ‘Power Scalper’ strategies are more frequent on the 15-minute chart, aligning with the nature of scalping in short-term trading. However, their success rates are moderate to slightly below average.
6. RSI and MACD Strategies: These indicators show a wide range of success rates (around 47-55%). The combination with ADX doesn’t significantly improve the performance compared to the hourly chart.
7. Strategy Performance Comparison:
   • 15-Minute vs. Hourly Chart: There’s a general trend of higher frequency but lower success rates on the 15-minute chart compared to the hourly chart. This might indicate the increased market noise and volatility in shorter time frames.
   • High Frequency, Lower Success: The most frequent strategies on the 15-minute chart tend to have success rates hovering around the 50-60% mark, which might be due to the typical quick-changing market conditions in such short time frames.
8. Risk and Reward: The shorter the time frame, the more frequent the trading signals, but also the lower the success rate. This suggests a higher risk and potentially higher reward scenario due to the increased number of trading opportunities.
9. Market Sensitivity: The effectiveness of these strategies is likely more sensitive to market conditions in shorter time frames. Quick changes in market sentiment can significantly affect the reliability of signals on a 15-minute chart.
10. Zero Frequency Signals: Unlike the hourly chart, there are no strategies with zero frequency, indicating that all listed strategies were triggered at least once during the backtest period.

Key Points to Remember

1. Synergistic Strategies: The Hedera Backtest emphasizes the effectiveness of combining technical indicators.
2. Time Frame Dependency: The HBAR Backtest Report illustrates how strategy performance can vary drastically with different time frames.
3. Selective Strategy Efficiency: As seen in the Hedera Backtest, certain strategies show high effectiveness but are less frequent.
4. Market Condition Impact: The HBAR Backtest Report underscores the influence of market conditions on strategy success.
5. Importance of Risk Management: Frequent trading signals in the Hedera Backtest on shorter time frames necessitate stringent risk management due to heightened volatility.

Conclusion

The comprehensive Hedera Backtest provides crucial insights into HBAR’s trading strategies across various time frames. It highlights that strategies integrating multiple indicators, particularly in the HBAR Backtest Report, generally yield better results. This suggests that a multifaceted approach is more adept at capturing market trends. The HBAR Backtest also sheds light on the distinct behaviors of markets in different time frames: shorter frames offer more trading opportunities but tend to have lower success rates, possibly due to increased market noise and rapid shifts in market sentiment. This variation accentuates the need for adaptive trading strategies and robust risk management, as outlined in the Hedera Backtest Report. Ultimately, while backtesting like this Hedera Backtest offers valuable historical insights, traders should remain aware of the evolving nature of the cryptocurrency markets and the limitations of past data in forecasting future market movements.