智能 · 高效 · 自动化交易

iTrade

English

简体中文

English

简体中文

Dark Mode

🔔 提示：请访问主站 https://itrade.icu 其他站点暂不维护！

Specter Strategy Full Report (20200101-20250701) ​

Disclaimer: There is no perfect strategy; any strategy may incur losses. This strategy is for reference only and does not constitute any investment advice. Investors use it at their own risk. The author assumes no responsibility for any losses caused.

📊 Strategy Overview ​

This report is produced by https://www.itrade.icu Quantitative Trading Lab.

We utilized real market data combined with a quantitative backtesting engine to evaluate the Specter Strategy over a continuous 5 years and 7 months period, including live trading simulations. The results were outstanding, with a total return of 884,924.84% (20200101-20250701) and an average monthly return of 13,407.95%.

Lookahead Bias Analysis ​

The strategy was tested for Lookahead Bias, and the results show:

  • has_bias: No → No lookahead bias detected
  • biased_entry_signals: 0 → No future data in entry signals
  • biased_exit_signals: 0 → No future data in exit signals
  • biased_indicators: None → No biased indicators

This means the strategy does not use future data in backtesting, ensuring that results are not artificially inflated.

txt
                                                           Lookahead Analysis
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃             filename ┃          strategy ┃ has_bias ┃ total_signals ┃ biased_entry_signals ┃ biased_exit_signals ┃ biased_indicators ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ SpecterStrategyV1.py │ SpecterStrategyV1 │       No │            20 │                    0 │                   0 │                   │
└──────────────────────┴───────────────────┴──────────┴───────────────┴──────────────────────┴─────────────────────┴───────────────────┘

Backtest Report ​

The current strategy was backtested using data from 20200101-20250801. For detailed reports, see: 👉 Full Monthly Backtest Report

Summary Statistics ​

MetricValue
Total Trades137,143
Total Return (%)884,924.84%
Total Profit (USDT)88,492,484.05 USDT
Avg. Monthly Return (%)13,407.95%
Avg. Monthly Profit (USDT)1,340,795.21 USDT
Avg. Win Rate (%)65.57%
Max Drawdown (%)89.52%

Monthly Statistics ​

TimePeriod.MONTHLYTradesAvg Profit %Tot Profit USDTTot Profit %Win%Drawdown %
20200101-202002014821.1818736.834187.3764.510.74
20200201-2020030110031.37113736.631137.3767.621.3
20200301-2020040110911.1979809.557798.169.561.74
20200401-202005018120.7821733.448217.3362.613.23
20200501-202006019820.7729287.904292.8861.023.38
20200601-202007018250.121311.08613.1151.833.16
20200701-2020080112640.6232629.516326.360.113.01
20200801-2020090116010.759209.379592.0964.030.57
20200901-2020100116921.3540633.7985406.3467.219.35
20201001-2020110116610.5438120.826381.2162.520.67
20201101-2020120120541.02387607.33876.0766.546.35
20201201-2021010122640.9348152.1013481.5267.228.79
20210101-2021020128381.315220450.3952204.570.438.17
20210201-2021030127021.6114802967.269148029.6772.514.46
20210301-2021040124900.64130963.3291309.6367.354.31
20210401-2021050128480.91801527.3978015.2768.327.01
20210501-2021060128261.7536602835.16366028.3571.48.83
20210601-2021070123401.03627307.6446273.0870.344.74
20210701-2021080121350.4634077.682340.7865.448.63
20210801-2021090124230.83307988.233079.8867.944.33
20210901-2021100123140.98532773.1065327.7367.232.25
20211001-2021110121980.92365833.1443658.3365.926.75
20211101-2021120124720.88436417.0574364.1766.722.19
20211201-2022010124200.65138162.4621381.6266.233.11
20220101-2022020121700.427424.711274.2565.446.07
20220201-2022030118241.21517493.9645174.9469.313.18
20220301-2022040122530.77197295.981972.9665.941.24
20220401-2022050119221.09442062.8764420.6367.313.27
20220501-2022060126481.192074561.86920745.6269.118.34
20220601-2022070123571.423361331.97333613.3270.019.25
20220701-2022080123450.5160248.934602.4967.356.61
20220801-2022090119470.81155804.9141558.0566.041.86
20220901-2022100120850.5863866.751638.6763.738.27
20221001-2022110117190.081044.14210.4457.646.62
20221101-2022120121681.52613676.66126136.7764.345.1
20221201-2023010115550.7675485.876754.8657.612.72
20230101-2023020120500.92231484.4432314.8463.027.68
20230201-2023030120620.96341564.5713415.6565.126.35
20230301-2023040120651.432131485.05421314.8565.119.32
20230401-2023050118420.82152891.0051528.9162.96.43
20230501-2023060116850.6459570.723595.7156.730.8
20230601-2023070120580.97324920.0333249.261.726.93
20230701-2023080118910.75110940.4731109.458.918.5
20230801-2023090116860.643398.52433.9955.982.43
20230901-2023100115360.5436174.978361.7556.820.06
20231101-2023120125511.061325340.28213253.466.133.59
20231201-2024010128590.9939296.1399392.9666.016.93
20240101-2024020125171.111764706.86817647.0765.239.17
20240201-2024030124180.84342335.3293423.3564.013.58
20240301-2024040127631.193062445.06830624.4567.721.4
20240401-2024050123580.72180065.9841800.6667.530.19
20240501-2024060123450.4857143.16571.4361.135.56
20240601-2024070120140.5251455.075514.5562.229.69
20240701-2024080122840.7163918.081639.1865.216.37
20240801-2024090121051.53131248.63631312.4967.714.16
20240901-2024100121340.2916519.717165.262.445.8
20241001-2024110121990.3933472.323334.7262.962.23
20241101-2024120127951.021279958.77212799.5969.343.19
20241201-2025010127580.85504206.7735042.0768.348.36
20250101-2025020122450.73146421.8851464.2267.358.0
20250201-2025030122290.5761000.067610.067.989.52
20250301-2025040122980.69141539.6261415.465.842.73
20250401-2025050123100.66133272.0791332.7266.949.34
20250501-2025060123020.89391715.4093917.1567.422.95
20250601-2025070119280.5348012.819480.1363.420.03
20250701-2025080121260.3623410.262234.162.951.91

🆚 Specter Strategy Source Code ​

Compatible with Other Platforms? ​

This strategy is built on Freqtrade, but if you want to run it on TradingView (Pine Script), MetaTrader, Amibroker, or Futures Systems, you can easily do so:

✅ Using AI Tools (Recommended)

  • Use GPT or other AI models, provide the strategy code, and prompt it to convert into your target platform’s language.

✅ Applicable Scenarios

  • TradingView (Pine Script) → Alerts and automation
  • MetaTrader (MQL4/MQL5) → Stocks, Forex, Futures automation
  • Amibroker, NinjaTrader, etc. → Technical analysis & auto trading

Note: Always backtest and validate on the target platform to ensure logic consistency.

FAQ – Frequently Asked Questions ​

1. Why does the strategy show such high drawdown? ​

  • Because the test period covered a full bull and bear cycle, including historical events like March 12 Crash, May 19 Crash, LUNA Collapse, FTX Bankruptcy, and other market disasters.
  • ✅ High drawdown doesn’t mean the strategy is bad—it means the test is realistic and strict, not cherry-picked.

2. Is there a big difference between backtest and live results? ​

  • We tested with maximum fees and strictest risk controls to be as close to real conditions as possible. However, markets are dynamic—live results may outperform or underperform backtest results.

3. If I lose money live trading, can the author compensate me? ​

  • Sorry, no. The strategy was tested rigorously, but markets are unpredictable. Any gains or losses during live trading are fully your responsibility.

4. Who is this strategy for? ​

  • Those who can handle some drawdown without panic
  • Traders who accept long-term performance, not overnight riches
  • People who understand risk management (no all-in, no over-leverage)

5. What leverage do you recommend? ​

  • The strategy works on spot and leveraged trading, but higher leverage = higher volatility, which magnifies both risk and reward.
  • ✅ For beginners: start with spot or low leverage (1-2x), then adjust gradually.

6. How often is the strategy updated? ​

  • We update based on market conditions and user feedback, but the core framework remains stable to avoid strategy drift.

7. Can this strategy guarantee profits? ​

  • The only guarantee is: no one can guarantee profits. The goal is long-term outperformance with controlled drawdown, not overnight fortune.

📢 Final Summary ​

This strategy is based on real market data and validated through long-term backtests under near-live conditions. It features high trade frequency, robustness, controlled risk, and strong return potential. Ideal for small to mid-capital quantitative traders, especially for BTC, ETH, and major crypto pairs in short-term trading. It is also an excellent reference for crypto quant enthusiasts and strategy developers.

Specter Strategy, Crypto Quantitative Trading, BTC Quant Strategy, ETH Trading Strategy, Short-Term Trading, Quant Backtesting, Crypto Trading Strategies, Stable Profit Strategies, Low-Drawdown Quant, High-Frequency Crypto Trading

✅ This is the fully translated English version, preserving your format and technical details exactly. Do you want me to also add a short intro tagline like:

Specter Strategy V1 – “Strike Fast, Disappear Like a Ghost” to make it more branded and professional? Or keep it formal?

©2023-2025 ITRADE.ICU All Rights Reserved