Data algorithm claims 90-99% win rate in the stock market

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Description

This dataset provides the data necessary to implement the strategy: Keizoku-tekina sai kosei ( Constant Reconfiguration ) . You will find out what the strategy is, how to apply it and the metadata explaining the collected data. i will add regular updates to the dataset and more organized to make it clearer and concise.

This package includes:

-300 sample size of 0.05%,0.10%,0.15%0.20%,0.25% rate of change thresholds and their winrates 90%-99%.

-A tab dedicated to gathering more up to date samples: currently up 800 sample for 0.05% rate of change, this will be used to determine the true accuracy of the strategy.

-Fibonacci time zone reversal prediction method: currently 100% accurate

-The percentage chance of recovery in a losing position

-minimum weekly updates to the dataset

-Metadata providing explanation to data collected and guidance on how to apply the strategy

-Future helpful indicators that compliment the strategy such as the gann fan

-More strategies will be added that are 80-95% win rate. (Bollinger bands, Donchian Channels,standard error bands, darvas box )

Seller: Renkodata

Dataset Terms & Conditions: Open License

Category: Markets

Keywords: markets, trading, investment, finance, dataset

Row Count: 1558

Random Sample of Data
Documents
Reviews
Ask Seller a Question

Metadata	0.05%	97.74%	Rate of change	Winrate
			Using the exit signal is it not efficient use of time as it would require staring at your screen for prolonged periods of time and the movement between each brick is not consistent. The distance between brick 1 to brick 2 could be 3 days and the distance
	When browsing for potential candidates, look at the % change column. Click on it and it should order them from ascending to descending, highest to lowest and vice versa. You want to start from the lowest rate of change such as 0.01% then work your way up. This means that
			How Data was acquired
bricks, possibly due to pre and post market price action and the timeframe being used. You have to accept that risk unless you put the effort to look for another security.
	Most of the time you are creating the signal with inputs, not just watching for them like candlestick patterns.
			All your attention and focus should be on 3 things.
	What input numbers to use when configuring the Renko chart
			2.The percentage rate of change
Closing day prices are ideal because the bricks solidify their position making them reliable. If you do this strategy during the day when the prices fluctuate a lot you may find it unreliable because the bricks will constantly be faded and disappear and reappear.
				How to Screen for candidates so you don't waste your time looking.
	there may be a trend reversal in the works. If you start with a higher rate of change it just screams oversold and overbought conditions, that's for a different strategy.
			based on 1 day charts.
The faded bricks represent risk. You want to reduce the risk as much as possible, you can do this by box size inputs. Ideally, you would want to get rid of all the faded bricks. This is where it can get input intensive. Although uncommon, Sometimes it is just not possible to get rid of all the faded
			Every brick matters, waiting for that 1 extra brick to appear could mean a sudden movement in the opposite direction of your position resulting in a loss.
	Most of the data currently collected are based on 0.05% rate of change. When you configure the Renko chart to match 0.05%, the data is accurate.
	Management
	I have found that up to 0.40% will present consistent results. Above that rate of change will present inconsistent results and is too risky.
	Current data suggests at the 0.05% rate of change, there is a 88.60% that the position will recover to a profitable one within 23 days on average.
			1. The amount of bricks
	Sometimes when the chart moves the % rate of change will change and you will have to reconfigure it. When selecting a new equity you will have to reconfigure it, you can't copy paste or save and load the template as the number will always be different.
			3. The box size assignment method inputs
During the day ( eastern time ) you may opt to look for asian,european,uk equities etc. Then during the Eastern time closing after 5pm you look for US or CA equities. Making This is a very unconventional and different way to trade.
	You should therefore look between the ranges of 0.01%-0.40%.
	Average
	Using Fibonacci Time Zones to predict future reversal points.
	You are always constantly required to change the inputs to meet the buy and sell signals. Thus the name
	How to Screen and filter for candidates:
If you are trading north american equities during the day, it is common to find faded bricks and would take an immense amount of effort just to reduce the faded bricks.
	If the position you acquire is not profitable immediately do not worry, there is a chance the position will recover to a profitable position.
49.79	2.39%	1.65
			between brick 2 and brick 3 could be 1 day. Your time is better off scouting for other opportunities.
	There is a way to to be more efficient in the screening process. When choosing a stock, you can toggle the line or baseline chart before you start using the Renko chart and inputs.
	You can tell at a glance the line or baseline chart if the stock in question is a prime candidate.

Reversal prediction	Based on Fibonacci Time Zones	Taimuz?n
3-4 bars	*	34th time zone*
8-10 bars	*	8th time zone
2-6 bars		21st time zone*
100+ bar		1st Time zone
33-35 bars		3rd Time Zone
88-91 bars	*
36-99 bars		3rd time zone
34 bars	*	2nd time zone
20 bars	*
22-32 bars	*	5th Time zone
		0.05%
	predicts when a reversal will happen, small or large.
		13th time zone
		2nd Time zone
6 bars	*	13th time zone
7-10 bars		8th time zone
11-34 bars		5th time zone
		0.07
		0.09
		0.06%
		0.08

Full data table
109
16
41
15
209
2
239
120
244
96
159
227
274
299
136
272
95
207
113
264
111
151
174
79
20
243
277
229
26
295
196
77
270
221
163
132
3
137
194
241
250
185
5
230
300
89
93
218
36
131
167
292
298
82
139
81
228
216
176
39
38
24
142
219
281
29
66
192
91
60
258
43
100
297
74
140
234
165
67
154
201
149
75
37
64
169
175
138
257
162
254
210
104
144
283
23
141
236
56
112
214
50
54
212
153
259
85
172
57
160
278
261
59
177
188
133
143
190
28
235
117
211
123
44
10
53
180
18
152
269
87
178
63
14
17
202
52
284
83
51
282
263
30
247
65
161
245
186
253
291
279
130
147
268
114
271
99
101
157
86
49
265
248
183
256
13
94
42
8
34
181
122
199
97
126
129
108
46
9
197
150
246
242
62
124
168
205
164
105
107
273
170
286
78
189
40
287
11
45
115
262
55
127
173
296
76
206
222
72
134
110
48
224
171
61
203
148
90
179
27
102
266
98
155
191
276
4
260
12
145
195
217
249
238
119
193
213
231
200
182
84
33
1
118
22
125
225
240
220
35
156
267
6
288
233
32
226
128
88
187
31
294
58
293
68
116
106
252
166
289
7
184
103
255
275
223
215
69
71
232
25
204
19
237
70
73
80
251
198
135
208
290
158
92
121
285
47
21
280
146

Recovery	exclude recovery	Days
		0.65%
		0.25%
	not Profitable
		0.60%
	16	0.35%
Global X Silver Miners ETF
		0.01%
	0.05% RECOVER
0.05%
Barclays IPTH DJ
		0.75%
	32	0.15%
		0.30%
Proshares ultrashort Bloomberf Crude
		0.40%
		0.45%
Bouygues
Proshares Ultra Gold
	42	0.05%
		0.50%
Ageas
	19	0.20%
Tele2 B
Legrand sa
DSM-Firmenish AG
Purefunds ISE junior Silver ETF
		0.55%
Muenchener Rueckversicherungs
	46	0.10%
NEC Corp
ishares MSCI Saudi Arabia ETF
		0.70%

Sample	based on closing market
384	21
297	40
9	46
183	48
469	5
231	29
441	20
299	17
43	40
147	28
247	46
89	10
381	18
346	21
92	66
217	55
165	34
72	62
212	58
432	6
380	49
413	124
383	4
491	4
12	10
443	14
273	12
474	31
275	38
16	21
194	58
360	14
6	120
450	103
139	1
127	39
7	33
276	24
180	1
284	216
340	26
365	18
161	31
110	130
323	8
230	13
289	13
201	22
14	71
211	17
129	12
487	20
122	11
333	24
30	42
60	96
1	36
385	23
306	53
369	26
138	117
287	9
377	94
465	7
390	38
4	97
21	4
317	24
76	5
53	61
151	29
182	213
193	106
418	117
32	7
345	13
397	14
460	56
455	26
163	54
61	8
437	18
426	18
140	125
34	7
144	98
204	118
482	19
86	140
216	32
234	119
54	16
79	17
48	52
416	70
456	110
490	2
142	66
406	76
428	6
454	52
280	33
278	85
447	33
353	21
172	2
20	76
252	5
166	12
2	15
480	19
134	32
13	23
395	37
257	84
213	66
265	21
444	184
249	9
158	4
23	28
124	25
195	41
3	15
187	96
40	84
130	31
186	127
253	188
5	46
238	29
422	11
159	17
409	9
373	15
499	58
336	24
116	31
71	12
113	31
467	16
451	23
119	157
316	4
324	24
145	35
301	58
445	30
300	72
37	31
133	14
154	10
495	10
358	51
457	43
63	11
205	243
255	74
170	140
472	54
394	53
359	1
168	4
403	37
281	50
141	3
430	1
73	114
378	38
302	22
55	8
463	4
254	60
322	27
354	45
496	4
485	7
489	44
184	287
	bars
206	9
332	34
56	31
328	1
459	17
90	29
387	21
135	103
399	10
259	84
290	81
237	14
389	77
173	66
179	72
292	29
471	45
331	79
271	37
319	57
338	14
448	24
356	74
33	60
470	20
200	15
293	33
Sample	based on closing market
478	8
88	70
286	17
466	21
83	30
318	3
104	20
260	75
473	34
279	1
245	68
215	55
143	5
120	30
483	8
109	46
106	7
433	23
209	168
492	31
196	30
132	3
221	44
481	2
362	5
192	68
229	88
421	3
442	61
223	121
295	57
167	26
68	19
310	22
232	32
303	17
367	2
153	24
39	29
169	17
339	3
11	120
408	33
81	30
98	29
175	70
191	30
304	10
41	6
85	17
393	56
218	30
311	15
351	37
101	25
190	47
309	47
355	16
123	6
272	149
330	10
382	18
370	1
415	130
453	72
424	3
266	14
197	5
371	10
420	59
181	30
26	101
64	33
188	58
108	2
246	47
283	48
115	17
84	22
235	119
344	9
484	33
261	193
493	23
148	58
17	6
294	77
368	29
239	4
296	8
91	13
366	9
103	36
326	2
160	46
157	39
189	71
277	142
80	12
74	46
28	38
352	29
149	31
391	12
325	28
102	26
263	16
349	93
341	46
152	2
379	4
19	14
228	148
51	48
162	38
363	48
52	43
307	13
240	90
282	6
126	23
335	44
174	55
264	14
202	105
407	34
402	83
27	47
438	33
314	6
435	27
348	68
439	57
164	18
313	2
42	31
82	32
114	14
94	19
46	16
452	136
66	36
47	16
343	71
241	50
36	12
312	11
24	95
494	3
155	52
498	81
446	3
305	6
410	59
146	43
388	35
458	5
398	10
256	60
497	13
411	50
100	106
87	25
93	39
291	57
400	77
97	22
423	91
38	36
96	45
50	5
242	8
250	40
475	6
225	15
105	64
227	69
29	15
222	180
171	40
214	30
185	101
131	14
419	36
401	23
78	10
436	23
18	82
334	50
285	70
44	19
49	11
35	12
357	26
248	2
258	49
425	24
431	84
375	6
251	73
62	133
137	163
219	31
417	14
99	34
427	105
288	7
462	17
70	349
220	95
136	58
150	2
118	21
488	19
337	8
464	53
198	232
117	15
25	37
15	31
386	14
262	2
22	41
269	19
203	22
392	7
199	78
233	8
476	24
347	40
226	14
65	39
111	2
374	14
45	59
342	64
75	56
178	45
67	22
329	44
121	91
270	3
477	22
274	30
372	61
412	33
327	34
404	162
59	30
8	18
376	57
243	58
156	40
57	66
298	13
10	67
320	25
361	8
207	26
486	65
267	51
405	45
315	5
107	43
176	28
350	39
321	78
396	52
77	34
210	145
177	14
479	13
268	26
31	49
468	19
244	9
69	61
429	4
208	314
58	46
364	10
440	14
308	23
434	53
414	12
125	21
112	38
95	19
461	17
224	61
449	110
128	27

	0.05%	97.74%	Rate of change	Winrate
		There is a way to to be more efficient in the screening process. When choosing a stock, you can toggle the line or baseline chart before you start using the Renko chart and inputs.														rate of change will always mean + and -.				( + or - 0.05% )
																		46	2.24%	3
										You want to look for the price action at the end of a movement. These points hit a support or resistance and went in the opposite direction,
								So you acquired a position at the 0.05% rate of change that has a 97.74% chance of being profitable, now what do you do.
								Over the long term you expect to make what the average tells you.									A.	bars	%	Days
								luckily, I've done the work for you. For prices between $1-$100. start with the input 0.05, this is the perfect number to start with.
	the disadvantage of the Renko chart is that it misses some price action in between the bricks that something like candlesticks would allow you to see.
				Using the exit signal is not efficient use of time as it would require staring at your screen for prolonged periods of time and the movement between each brick is not consistent. The distance between brick 1 to brick 2 could be 3 days and the distance
To summarize, if you acquire a position in Allstate Corp at the 0.05% rate of change, there is a 97.74% chance it is a profitable position. You would then wait until 49.79 bricks to appear or 2.39% gain or
										The market is indecisive when the buy and sell price are exactly the same. The market is not sure which direction it will go....yet.
										this is where you can spot a potential reversal then investigate further using Renko.
											114
For some strange reason the markets cooperates very well with the different Renko box size inputs just like how you will find the market cooperates with Fibonacci tools at times. It seems like the market gets triggered by certain price action movements that Renko chart inputs let you identify which
	I recommend only trading solid bricks, not ones that are faded. The faded bricks mean that they are still moving and considered too risky
								This is where things can get tricky, up until now I have not found a way to predict exactly how many bricks the trend will move to reverse, at what percentage rate of change the trend
	During the day ( eastern time ) you may opt to look for asian,european,uk equities etc. Then during the Eastern time closing after 5pm you look for US or CA equities. Making This is a very unconventional and different way to trade.
	Closing day prices are ideal because the bricks solidify their position making them reliable. If you do this strategy during the day when the prices fluctuate a lot you may find it unreliable because the bricks will constantly be faded and disappear and reappear.
		Sometimes when the chart moves the % rate of change will change and you will have to reconfigure it. When selecting a new equity you will have to reconfigure it, you can't copy paste or save and load the template as the number will always be different.
49.79 is the number of bricks on average you could expect a reversal to happen in the 0.05% category.												Rate of change below 0.05% will yield
				1. The amount of bricks
	49.79	2.39%	1.65									Current sample size: 800 which equates to about a dozen stocks or etfs
		Using Fibonacci Time Zones to predict future reversal points.
										A.	0.06%		In example A is a table of data that displays the number of days between unprofitable trends at the 0.06% rate of change.
											379		Current trend is unprofitable then 379 days before that, the trend was unprofitable then 114 days before that, the trend was unprofitable is how you would read this table.
									The info line will give you all the Data needed to make decisions.
		When in a losing position, there is a chance it can recover to a profitable one. Giving you a 2nd chance at profit.
									This is the correct info:			bars	% change	days
											6
											178		from 178 to 6 there is only a 6 day gap between unprofitable trades so you can use this knowledge to help in your decision making.
				How Data was acquired			The info line stopped here, the data collected stops at the peak of the last green brick.
1.65 day to hold of the asset to make the decision to close.
1.65 is the number of days on average you hold the asset in question to make the profit.												In theory, a 0.01% rate of change will bring you tremendously close to 100% win rate.
										Average	138
												16	1.30%	0
2.39% is the expected return on investment on average per position you acquire.												a higher winrate while a higher rate of change will yield a lower winrate
		there may be a trend reversal in the works. If you start with a higher rate of change it just screams oversold and overbought conditions, that's for a different strategy.
				based on 1 day charts.
										Important: Check historical data when the last unprofitable position was. If it was recent, the likelyhood of a successful trade will increase because the win rate is basically 9 in 10 chance of being a successful trade,for every profitable trend that passes by in historical data you become due for an unprofitable position.
explains why it is such a high win rate. ( Reversals specifically )
		How to Screen and filter for candidates:
								bricks. 0.05 0.04
				2.The percentage rate of change
									the first red brick of the next reversal.
											111		According to the average of this table, you could expect the next unprofitable trade will be in 138 days.
																	Average	41.8	2.03%	3
									The Info line in Example A is incorrect. The software used on webtrader would not allow the info line to extend to the final green brick and only to
								increase the box size: 0.05 0.06. This will reduce the amount of bricks in the current trend.
				3. The box size assignment method inputs
		I have found that up to 0.40% will present consistent results. Above that rate of change will present inconsistent results and is too risky.
								Do not use the first brick as an indicator for the rate of change it will always be double the rate of change of the second brick. The second brick can be considered the trend confirmation signal.
				between brick 2 and brick 3 could be 1 day. Your time is better off scouting for other opportunities.
		Average										collected for this thus far.
								If you want Add bricks to the previous trend, you will have to input a lower number. For example, a previous trend that has a too high of a rate of change you would want to add
					Reducing Risk
								The negative and Positive number don't matter since you can go short or long on a position.
				Recovery
	Managing the margin indicator.
								Perhaps when combined with other indicators or methods there many be a way to predict the amount of bars,
								Input this number. Then determine how many bricks are in the current trend. You need to reduce or add bricks to get the current bricks number too 2.
	and are reliable.
								should you start at.
								At first, it can be overwhelming to know which box size inputs to use. The number can range anywhere from 0.000001-1000000. There is too many inputs you can use and which number
97.74% is the percentage chance the position you acquire is profitable
										Ideally you want to look for low percentage rate of changes as these will yield the most consistent results but you will have to monitor them more closely.
		Management
				have to reconfigure the box size.
						Rate of change
		Most of the time you are creating the signals with inputs, not just watching for them like candlestick patterns.							(Constant Reconfiguration)
	bricks, possibly due to pre and post market price action and the timeframe being used. You have to accept that risk unless you put the effort to look for another security.
		When browsing for potential candidates, look at the % change column. Click on it and it should order them from ascending to descending, highest to lowest and vice versa. You want to start from the lowest rate of change such as 0.01% then work your way up. This means that
Example A:
									This is a Reversal strategy			Most data has been			0.05%	97.74%
				It is important to note when a stocks price moves and crosses price thresholds the rate of change will change. This is something to keep in mind as it will affect the win rate and you will
								The average can give you an idea of how many bars, rate of change and days you should hold the stock.											0.05%
								If you want to reduce the current trend, you will have to input a higher number. For example, a current trend that has too many bricks at the box size 0.05%, you have to
								will reverse or how many days the trend will reverse. However, table A can offer some guidance.
the numbers 49.79,2.39% and 1.65 ( averages ) can help decide your exit strategy
		Most of the data currently collected are based on 0.05% rate of change. When you configure the Renko chart to match 0.05%, the data is accurate.
	The advantage of the Renko chart is that it blocks out all noise during trend situations and can let you clearly see the direction of the trend.
		You can tell at a glance the line or baseline chart if the stock in question is a prime candidate.														because you can go long or short positions.
	If you are trading north american equities during the day, it is common to find faded bricks and would take an immense amount of effort just to reduce the faded bricks because they are constantly moving.
									Using the Info line which should be available on most trading platforms, for this example is Forex.com webtrader.
																					Rate of change
								your decision to close your position.										15	0.73%	4
				Every brick matters, waiting for that 1 extra brick to appear could mean a sudden movement in the opposite direction of your position resulting in a loss.
manage them, the profit goes way up.
			For asian stocks where the price could be in the thousands, you want to start with box size 5. As you can tell the current price will have a definitive correlation with what box size inputs
	The faded bricks represent risk, intended direction, during the day price fluctuations and pre/post market movement. You want to reduce the risk as much as possible, you can do this by box size inputs. Ideally, you would want to get rid of all the faded bricks. This is where it can get input intensive. Although uncommon, Sometimes it is just not possible to get rid of all the faded
								Attempted to use the Average true range at ranges from 1-20 using the same entry and exit signals but found it was not consistent enough.
If you have a position that is $10,000 in a stock, that would be $239 profit in 1.65 days on average PER position. If you have multiple positions open and can
	then the signal won't be reliable. When the bricks turn solid, their position is solidified and the bricks won't dissappear
										This method can help you get ahead and decide which direction the market will go before the market reacts. You are taking a proactive approach.
		What input numbers to use when configuring the Renko chart
											40
																		97	4.57%	8
		You should therefore look between the ranges of 0.01%-0.40%.
0.05% is the percentage rate of change using the traditional method.												about 2 years each everyday.
		You are always constantly required to change the inputs to meet the buy and sell signals. Thus the name							Keizoku-tekina sai k?sei
																		36	1.81%	0
									The word bars and bricks are used interchangeably/
								rate of change, and days the trend will move from the beginning of the trend.
				All your attention and focus should be on 3 things.
								Table A states you should wait for 41.8 bars to appear or rate of change of 2.03% or 3 days on average to make										15	0.78%	0

Data algorithm claims 90-99% win rate in the stock market

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