Datasets:

usamaahmedsh
/

synthetic-elliott-waves

rule large_stringclasses 3 values	is_synthetic bool 2 classes	label int64 1 1	ensemble_score float64 0.65 1	fib_score float64 0.42 1	wave_config large_stringlengths 9 20	geo_0 float64 0.22 1	geo_1 float64 0.57 5	geo_2 float64 0.03 9.99	geo_3 float64 0.06 9.67	geo_4 float64 -1 73	has_geo4 bool 2 classes
Corrective	false	1	0.930857	0.9	[10, 8, 14]	0.467709	0.693917	0.228448	0.87069	-1	false
Corrective	false	1	0.805701	0.7	[11, 9, 12]	0.529856	0.791975	2.857143	3.164835	-1	false
Corrective	false	1	0.936614	0.9	[9, 10, 13]	0.53925	0.919143	0.234501	0.520216	-1	false
Corrective	false	1	0.843305	0.7	[10, 8, 14]	0.456308	0.800637	0.368644	0.402542	-1	false
Corrective	false	1	0.930652	0.9	[13, 5, 14]	0.529543	0.677043	0.144876	0.667845	-1	false
Corrective	false	1	0.829156	0.7	[13, 12, 6]	0.576605	0.898551	0.433766	0.116883	-1	false
impulse	false	1	0.793384	0.623168	[14, 14, 14, 14, 14]	0.222222	1.777766	0.187501	0.333339	1.625	true
Corrective	false	1	0.81	0.7	[14, 14, 14]	0.5	0.75	1	8	-1	false
Corrective	false	1	0.9425	0.9	[9, 10, 14]	0.404299	0.620253	1.288	1.584	-1	false
Corrective	false	1	0.720112	0.5	[14, 7, 10]	0.382821	1.29579	2.027211	1.360544	-1	false
impulse	false	1	0.828427	0.736854	[14, 14, 14, 14, 14]	0.399998	2.80001	0.357142	1.19998	18	true
Corrective	false	1	0.941317	0.9	[10, 10, 13]	0.598814	1.038659	1.206612	1.008264	-1	false
impulse	false	1	0.847281	0.732272	[14, 14, 13, 10, 14]	0.395652	1.395652	0.504673	1.704347	1.578313	true
Corrective	false	1	0.842567	0.7	[14, 14, 14]	0.571426	0.857142	0.666667	1	-1	false
Corrective	false	1	0.9391	0.9	[14, 14, 14]	0.599998	0.999991	1	1.5	-1	false
Corrective	false	1	0.938618	0.9	[14, 6, 12]	0.500103	1.008754	0.287879	0.651515	-1	false
Corrective	false	1	0.833328	0.7	[13, 10, 9]	0.489077	0.760113	0.188889	0.658333	-1	false
Corrective	false	1	0.729527	0.5	[14, 14, 14]	0.500003	2	0.181818	0.727273	-1	false
impulse	false	1	0.757396	0.57178	[14, 14, 14, 14, 14]	0.384617	0.692303	0.333336	0.230772	0.176471	true
Corrective	false	1	0.810168	0.7	[14, 6, 12]	0.423594	1.196258	0.124352	2.056995	-1	false
Corrective	false	1	0.9427	0.9	[13, 7, 14]	0.612481	0.924917	0.36	1.024	-1	false
bearish_impulse	false	1	0.652007	0.422215	[14, 14, 14, 14, 14]	0.999978	5.000005	0.133337	1.333356	7	true
Corrective	false	1	0.932357	0.9	[14, 14, 5]	0.431818	0.613643	0.238095	1.380952	-1	false
Corrective	false	1	0.9259	0.9	[14, 14, 14]	0.602057	1.005381	1	3	-1	false
impulse	false	1	0.784237	0.666674	[14, 14, 14, 14, 14]	0.40008	4.150045	0.072303	0.600021	11.4	true
Corrective	false	1	0.940729	0.9	[12, 9, 12]	0.494822	0.671145	0.326633	1.58794	-1	false
Corrective	false	1	0.71	0.5	[14, 14, 14]	0.500002	1.250021	1	7	-1	false
Corrective	false	1	0.835	0.7	[14, 14, 14]	0.600009	0.800004	0.2	0.4	-1	false
Corrective	false	1	0.942861	0.9	[6, 12, 14]	0.562824	0.916349	1.25	0.597222	-1	false
Corrective	false	1	0.71	0.5	[14, 14, 14]	0.454942	2.453488	1	9.666667	-1	false
impulse	false	1	0.746576	0.574952	[14, 14, 14, 14, 14]	0.75	3.499999	0.107143	0.5	10.8	true
Corrective	false	1	0.830714	0.7	[14, 14, 14]	0.363634	0.727268	0.142857	0.571429	-1	false
Corrective	false	1	0.7259	0.5	[14, 14, 14]	0.499964	1.499964	0.5	2	-1	false
Corrective	false	1	0.9391	0.9	[14, 14, 14]	0.5	1	0.5	2.5	-1	false
Corrective	false	1	0.9391	0.9	[14, 14, 14]	0.499997	1	0.5	1.5	-1	false
impulse	false	1	0.886733	0.866667	[14, 14, 14, 14, 14]	0.750009	1.750022	0.428569	1.250016	5	true
Corrective	false	1	0.731709	0.5	[14, 5, 13]	0.360695	1.300597	0.815126	1.352941	-1	false
Corrective	false	1	0.8909	0.9	[14, 14, 14]	0.500002	1.000004	2	5.5	-1	false
Corrective	false	1	0.727633	0.5	[14, 14, 14]	0.374999	1.250001	0.166667	0.75	-1	false
Corrective	false	1	0.9391	0.9	[14, 14, 14]	0.500002	1	0.5	1.5	-1	false
Corrective	false	1	0.941244	0.9	[14, 6, 12]	0.400614	0.662493	0.311111	0.622222	-1	false
Corrective	false	1	0.927353	0.9	[14, 14, 14]	0.375008	1.035987	0.058824	0.588235	-1	false
Corrective	false	1	0.835	0.7	[14, 14, 14]	0.500034	0.750015	1.2	1.4	-1	false
Corrective	false	1	0.945	0.9	[14, 14, 14]	0.57143	1.000001	1	1	-1	false
Corrective	false	1	0.936774	0.9	[11, 8, 14]	0.417963	0.620006	0.994186	1.459302	-1	false
Corrective	false	1	0.938421	0.9	[13, 8, 13]	0.452637	0.642601	0.715789	0.584211	-1	false
Corrective	false	1	0.721086	0.5	[14, 4, 14]	0.450802	1.795428	2	0.714286	-1	false
Corrective	false	1	0.942885	0.9	[13, 12, 10]	0.602876	0.636232	0.596154	0.361538	-1	false
Corrective	false	1	0.724485	0.5	[14, 4, 14]	0.459353	2.252928	0.080189	0.891509	-1	false
Corrective	false	1	0.928209	0.9	[13, 7, 13]	0.481586	0.634561	0.850746	0.813433	-1	false
Corrective	false	1	0.938528	0.9	[14, 11, 9]	0.576378	1.032318	1.086294	0.456853	-1	false
Corrective	false	1	0.8909	0.9	[14, 14, 14]	0.500001	1.000004	7	3	-1	false
impulse	false	1	0.909233	0.866667	[14, 14, 14, 14, 14]	0.750014	1.750035	0.42857	1.000029	3	true
impulse	false	1	0.832048	0.744096	[14, 14, 14, 14, 14]	0.500001	2.333335	0.428572	1.833326	17.5	true
Corrective	false	1	0.943496	0.9	[11, 8, 14]	0.407276	0.989996	0.39011	0.978022	-1	false
Corrective	false	1	0.940133	0.9	[14, 14, 14]	0.5	0.666667	0.333333	0.666667	-1	false
impulse	false	1	0.926667	0.933333	[14, 14, 14, 14, 14]	0.5	1.5	0.333333	1	35	true
Corrective	false	1	0.9259	0.9	[14, 14, 14]	0.499998	0.999992	1	3	-1	false
impulse	false	1	0.962867	0.939334	[14, 14, 14, 14, 14]	0.333336	1.666668	0.4	1.333334	0.6	true
impulse	false	1	0.860657	0.814513	[14, 14, 12, 14, 14]	0.363637	1.18182	0.153848	0.545457	22.75	true
Corrective	false	1	0.94193	0.9	[12, 11, 11]	0.409916	0.638098	0.947368	1.008772	-1	false
Corrective	false	1	0.738165	0.5	[7, 13, 12]	0.554	1.317999	0.453083	0.292225	-1	false
Corrective	false	1	0.738927	0.5	[13, 8, 11]	0.612855	1.901331	0.887006	0.508475	-1	false
Corrective	false	1	0.829233	0.7	[14, 14, 14]	0.609964	0.813291	0.133333	1.066667	-1	false
Corrective	false	1	0.838812	0.7	[11, 8, 13]	0.613139	0.892195	1.279817	0.733945	-1	false
Corrective	false	1	0.828208	0.7	[10, 11, 10]	0.474546	0.778915	0.907692	1.861538	-1	false
impulse	false	1	0.822429	0.666658	[14, 14, 14, 14, 14]	0.60001	1.200031	0.499996	1.600026	2.5	true
Corrective	false	1	0.845	0.7	[14, 14, 14]	0.6	0.799999	1	1	-1	false
Corrective	false	1	0.934327	0.9	[12, 11, 11]	0.433167	0.663183	1.289157	2.421687	-1	false
Corrective	false	1	0.908386	0.9	[12, 7, 14]	0.505975	0.660514	0.585714	3.628571	-1	false
Corrective	false	1	0.921499	0.9	[12, 12, 9]	0.522832	0.693369	0.195181	0.098795	-1	false
Corrective	false	1	0.706933	0.5	[14, 5, 14]	0.600001	1.350002	1.333333	4.8	-1	false
impulse	false	1	0.764572	0.54401	[14, 14, 14, 14, 14]	0.499993	0.999961	0.250026	0.250021	1	true
Corrective	false	1	0.89582	0.9	[7, 11, 14]	0.598039	0.607843	3.245902	2.262295	-1	false
impulse	false	1	0.864833	0.76358	[14, 14, 14, 14, 14]	0.399975	2.200017	0.272732	1.599984	1	true
Corrective	false	1	0.9391	0.9	[14, 14, 14]	0.428633	1.000022	1.5	1	-1	false
impulse	false	1	0.866323	0.75238	[14, 14, 14, 14, 14]	0.428568	1.000002	0.57143	1.142861	0.666667	true
Corrective	false	1	0.914286	0.9	[14, 8, 11]	0.518829	0.90795	0.771429	2.157143	-1	false
impulse	false	1	0.833734	0.760668	[14, 14, 14, 14, 14]	0.666657	3.333279	0.199998	1.66665	12.5	true
Corrective	false	1	0.835273	0.7	[14, 7, 10]	0.579832	0.739495	0.747748	1.207207	-1	false
Corrective	false	1	0.940988	0.9	[14, 6, 14]	0.527872	1.007961	0.376068	0.307692	-1	false
Corrective	false	1	0.834874	0.7	[3, 14, 14]	0.418118	0.859465	0.192308	0.512821	-1	false
Corrective	false	1	0.84378	0.7	[4, 14, 14]	0.560001	0.839998	0.390244	0.634146	-1	false
Corrective	false	1	0.93262	0.9	[12, 11, 9]	0.608288	0.914867	2.811475	0.327869	-1	false
Corrective	false	1	0.939794	0.9	[11, 8, 14]	0.436731	0.647346	1.233577	0.934307	-1	false
Corrective	false	1	0.938979	0.9	[13, 7, 12]	0.392268	1.029814	0.643979	1.52356	-1	false
Corrective	false	1	0.932711	0.9	[10, 14, 8]	0.617801	1.094242	0.149798	0.368421	-1	false
Corrective	false	1	0.841135	0.7	[14, 9, 11]	0.353435	0.757252	1.061947	1.256637	-1	false
Corrective	false	1	0.731178	0.5	[14, 5, 13]	0.402521	1.87815	0.127778	0.977778	-1	false
impulse	false	1	0.7759	0.6	[14, 14, 14, 14, 14]	0.250002	0.750007	0.33333	0.500003	3	true
Corrective	false	1	0.93678	0.9	[10, 8, 14]	0.35901	0.716575	1.030928	1.484536	-1	false
Corrective	false	1	0.9259	0.9	[14, 14, 14]	0.5	0.999988	1	3	-1	false
Corrective	false	1	0.9259	0.9	[14, 14, 14]	0.5	1	1	2	-1	false
impulse	false	1	0.837953	0.755907	[14, 14, 14, 14, 14]	0.750001	1.749995	0.285715	0.50001	73	true
impulse	false	1	0.893333	0.866667	[14, 14, 14, 14, 14]	0.750035	1.50007	0.49998	1.000004	10	true
impulse	false	1	0.800969	0.627339	[14, 14, 14, 14, 14]	0.399999	0.999981	0.400006	0.500006	1.25	true
impulse	false	1	0.818335	0.716671	[14, 14, 14, 14, 14]	0.499998	2.24996	0.222224	0.750011	8.5	true
impulse	false	1	0.857929	0.736857	[14, 14, 14, 14, 14]	0.428571	1	0.285714	0.428571	1.333333	true
Corrective	false	1	0.91	0.9	[14, 14, 14]	0.6	1	1	6	-1	false
Corrective	false	1	0.8395	0.7	[3, 14, 14]	0.576923	1.192308	0.727273	1.272727	-1	false

End of preview. Expand in Data Studio

Synthetic Elliott Wave Dataset

High-quality synthetic Elliott Wave patterns generated via rejection sampling with Fibonacci-ratio constraints and multivariate-normal density scoring.

Dataset Summary

Field	Value
Total rows	15,000,779
Real patterns	779
Synthetic patterns	15,000,000
Wave types	Corrective, bearish_impulse, impulse
All label=1 (good)	Yes — all samples passed all 4 tiers
Run	`run_20260318_135833_t5000000`

Wave Type Counts

rule	is_synthetic	count
Corrective	False	729
Corrective	True	5,000,000
bearish_impulse	False	11
bearish_impulse	True	5,000,000
impulse	False	39
impulse	True	5,000,000

Schema

Column	Description
`rule`	Wave type: `Corrective`, `impulse`, `bearish_impulse`
`wave_config`	Wave config string
`geo_0..geo_4`	Geometry ratios (wave retracements / extensions)
`ensemble_score`	MVN-based quality score (≥0.80 for all synthetic rows)
`fib_score`	Fibonacci proximity score
`is_synthetic`	`True` for generated, `False` for real market patterns
`label`	`1` for all rows in this dataset (good samples only)

Generation

Tier 1: Structural EW geometry constraints (wave ordering, direction)
Tier 1b: Monotonicity / non-overlap checks
Tier 2: Fibonacci ratio gates (tolerance per wave type)
Tier 3: Multivariate-normal density score ≥ 0.80 vs real-data distribution
Tier 4: BallTree diversity filter (min distance from existing samples)

Related Dataset

For scorer training (good + bad samples): usamaahmedsh/elliott-wave-scorer-training

Downloads last month: 86