Specter Strategy Full Report (20200101-20250701)

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📊 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%.

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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.

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

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Backtest Report

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

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Summary Statistics

Metric	Value
Total Trades	137,143
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%

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Monthly Statistics

TimePeriod.MONTHLY	Trades	Avg Profit %	Tot Profit USDT	Tot Profit %	Win%	Drawdown %
20200101-20200201	482	1.18	18736.834	187.37	64.5	10.74
20200201-20200301	1003	1.37	113736.63	1137.37	67.6	21.3
20200301-20200401	1091	1.19	79809.557	798.1	69.5	61.74
20200401-20200501	812	0.78	21733.448	217.33	62.6	13.23
20200501-20200601	982	0.77	29287.904	292.88	61.0	23.38
20200601-20200701	825	0.12	1311.086	13.11	51.8	33.16
20200701-20200801	1264	0.62	32629.516	326.3	60.1	13.01
20200801-20200901	1601	0.7	59209.379	592.09	64.0	30.57
20200901-20201001	1692	1.3	540633.798	5406.34	67.2	19.35
20201001-20201101	1661	0.54	38120.826	381.21	62.5	20.67
20201101-20201201	2054	1.02	387607.3	3876.07	66.5	46.35
20201201-20210101	2264	0.9	348152.101	3481.52	67.2	28.79
20210101-20210201	2838	1.31	5220450.39	52204.5	70.4	38.17
20210201-20210301	2702	1.61	14802967.269	148029.67	72.5	14.46
20210301-20210401	2490	0.64	130963.329	1309.63	67.3	54.31
20210401-20210501	2848	0.91	801527.397	8015.27	68.3	27.01
20210501-20210601	2826	1.75	36602835.16	366028.35	71.4	8.83
20210601-20210701	2340	1.03	627307.644	6273.08	70.3	44.74
20210701-20210801	2135	0.46	34077.682	340.78	65.4	48.63
20210801-20210901	2423	0.83	307988.23	3079.88	67.9	44.33
20210901-20211001	2314	0.98	532773.106	5327.73	67.2	32.25
20211001-20211101	2198	0.92	365833.144	3658.33	65.9	26.75
20211101-20211201	2472	0.88	436417.057	4364.17	66.7	22.19
20211201-20220101	2420	0.65	138162.462	1381.62	66.2	33.11
20220101-20220201	2170	0.4	27424.711	274.25	65.4	46.07
20220201-20220301	1824	1.21	517493.964	5174.94	69.3	13.18
20220301-20220401	2253	0.77	197295.98	1972.96	65.9	41.24
20220401-20220501	1922	1.09	442062.876	4420.63	67.3	13.27
20220501-20220601	2648	1.19	2074561.869	20745.62	69.1	18.34
20220601-20220701	2357	1.42	3361331.973	33613.32	70.0	19.25
20220701-20220801	2345	0.51	60248.934	602.49	67.3	56.61
20220801-20220901	1947	0.81	155804.914	1558.05	66.0	41.86
20220901-20221001	2085	0.58	63866.751	638.67	63.7	38.27
20221001-20221101	1719	0.08	1044.142	10.44	57.6	46.62
20221101-20221201	2168	1.5	2613676.661	26136.77	64.3	45.1
20221201-20230101	1555	0.76	75485.876	754.86	57.6	12.72
20230101-20230201	2050	0.92	231484.443	2314.84	63.0	27.68
20230201-20230301	2062	0.96	341564.571	3415.65	65.1	26.35
20230301-20230401	2065	1.43	2131485.054	21314.85	65.1	19.32
20230401-20230501	1842	0.82	152891.005	1528.91	62.9	6.43
20230501-20230601	1685	0.64	59570.723	595.71	56.7	30.8
20230601-20230701	2058	0.97	324920.033	3249.2	61.7	26.93
20230701-20230801	1891	0.75	110940.473	1109.4	58.9	18.5
20230801-20230901	1686	0.6	43398.52	433.99	55.9	82.43
20230901-20231001	1536	0.54	36174.978	361.75	56.8	20.06
20231101-20231201	2551	1.06	1325340.282	13253.4	66.1	33.59
20231201-20240101	2859	0.9	939296.139	9392.96	66.0	16.93
20240101-20240201	2517	1.11	1764706.868	17647.07	65.2	39.17
20240201-20240301	2418	0.84	342335.329	3423.35	64.0	13.58
20240301-20240401	2763	1.19	3062445.068	30624.45	67.7	21.4
20240401-20240501	2358	0.72	180065.984	1800.66	67.5	30.19
20240501-20240601	2345	0.48	57143.16	571.43	61.1	35.56
20240601-20240701	2014	0.52	51455.075	514.55	62.2	29.69
20240701-20240801	2284	0.7	163918.08	1639.18	65.2	16.37
20240801-20240901	2105	1.5	3131248.636	31312.49	67.7	14.16
20240901-20241001	2134	0.29	16519.717	165.2	62.4	45.8
20241001-20241101	2199	0.39	33472.323	334.72	62.9	62.23
20241101-20241201	2795	1.02	1279958.772	12799.59	69.3	43.19
20241201-20250101	2758	0.85	504206.773	5042.07	68.3	48.36
20250101-20250201	2245	0.73	146421.885	1464.22	67.3	58.0
20250201-20250301	2229	0.57	61000.067	610.0	67.9	89.52
20250301-20250401	2298	0.69	141539.626	1415.4	65.8	42.73
20250401-20250501	2310	0.66	133272.079	1332.72	66.9	49.34
20250501-20250601	2302	0.89	391715.409	3917.15	67.4	22.95
20250601-20250701	1928	0.53	48012.819	480.13	63.4	20.03
20250701-20250801	2126	0.36	23410.262	234.1	62.9	51.91

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🆚 Specter Strategy Source Code

This article was produced by the Quantitative Trading Lab at https://www.itrade.icu. Visit for more benefits.

📢 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.

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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

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