Long Trade on DOGE (WedgePullback)
With 11121.61 DOGE at 0.101$ per unit. Take profit: 0.103 (2.18 %) & Stop Loss: 0.1001 (0.69 %)
Long Trade on DOGE (WedgePullback)
With 11121.61 DOGE at 0.101$ per unit. Take profit: 0.103 (2.18 %) & Stop Loss: 0.1001 (0.69 %)
Position size of 1121.17 $
Take profit at 0.103 (2.18 %)
and Stop Loss at 0.1001 (0.69 %)
| Prediction 1 | Probability |
|---|---|
|
|
n/a |
| Prediction 2 | Probability |
|---|---|
| n/a |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | BTC Market Regime V2 |
|---|---|
|
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : range_low Score : 0 |
ml_regime : range_high rules_regime : bear_high rules_regime_4h : bear_medium tf_aligned : 1 30/05 05:01 |
| BTC Correlation | Coin Market Regime |
|---|---|
|
4H_regime : bear_high 1H_regime : range_high 15m_regime : range_low |
| TF | Direction | Phase | Structure | Strength | Momentum | Volatility | Regime | Tradability | Évalué à |
|---|---|---|---|---|---|---|---|---|---|
| 4h | ↓ down | range | range | moderate | grind | expansion_after_compression | bear_high |
76%
|
30/05 04:00 |
| 1h | ↑ up | transition | bullish_transition | strong | explosive | compression | range_high |
52%
|
30/05 09:00 |
| 15m | ↔ neutral | range | range | moderate | balanced | compression | range_low |
47%
|
30/05 09:30 |
| 5m | ↓ down | range | range | moderate | grind | compression | range_low |
49%
|
30/05 09:40 |
Indicators:
0.10013
144
0.7189
0.6863
0.3866
0.2674
0.4842
0.6216
0.4058
0.5408
0.6641
0.2015
0.7549
0.6165
0.1169
0.0636
1
0.7078
1.2199
0.55
0.45
1
6
0.9474
0.5177
0.8214
3.1032
0.55
0.6216
1.9289
1.2199
0.6034
0.2307
0.04
-0.0337
0.4821
0.5789
0.8122
0.6165
-4.2682
6.8623
1
0
1
0.376
0.376
Array
(
[0] => Array
(
[time] => 1779451200
[value] => 0.10634313
)
[1] => Array
(
[time] => 1779465600
[value] => 0.10622151
)
[2] => Array
(
[time] => 1779480000
[value] => 0.10609989
)
[3] => Array
(
[time] => 1779494400
[value] => 0.10597828
)
[4] => Array
(
[time] => 1779508800
[value] => 0.10585666
)
[5] => Array
(
[time] => 1779523200
[value] => 0.10573504
)
[6] => Array
(
[time] => 1779537600
[value] => 0.10561342
)
[7] => Array
(
[time] => 1779552000
[value] => 0.1054918
)
[8] => Array
(
[time] => 1779566400
[value] => 0.10537019
)
[9] => Array
(
[time] => 1779580800
[value] => 0.10524857
)
[10] => Array
(
[time] => 1779595200
[value] => 0.10512695
)
[11] => Array
(
[time] => 1779609600
[value] => 0.10500533
)
[12] => Array
(
[time] => 1779624000
[value] => 0.10488371
)
[13] => Array
(
[time] => 1779638400
[value] => 0.1047621
)
[14] => Array
(
[time] => 1779652800
[value] => 0.10464048
)
[15] => Array
(
[time] => 1779667200
[value] => 0.10451886
)
[16] => Array
(
[time] => 1779681600
[value] => 0.10439724
)
[17] => Array
(
[time] => 1779696000
[value] => 0.10427562
)
[18] => Array
(
[time] => 1779710400
[value] => 0.10415401
)
[19] => Array
(
[time] => 1779724800
[value] => 0.10403239
)
[20] => Array
(
[time] => 1779739200
[value] => 0.10391077
)
[21] => Array
(
[time] => 1779753600
[value] => 0.10378915
)
[22] => Array
(
[time] => 1779768000
[value] => 0.10366753
)
[23] => Array
(
[time] => 1779782400
[value] => 0.10354592
)
[24] => Array
(
[time] => 1779796800
[value] => 0.1034243
)
[25] => Array
(
[time] => 1779811200
[value] => 0.10330268
)
[26] => Array
(
[time] => 1779825600
[value] => 0.10318106
)
[27] => Array
(
[time] => 1779840000
[value] => 0.10305944
)
[28] => Array
(
[time] => 1779854400
[value] => 0.10293783
)
[29] => Array
(
[time] => 1779868800
[value] => 0.10281621
)
[30] => Array
(
[time] => 1779883200
[value] => 0.10269459
)
[31] => Array
(
[time] => 1779897600
[value] => 0.10257297
)
[32] => Array
(
[time] => 1779912000
[value] => 0.10245135
)
[33] => Array
(
[time] => 1779926400
[value] => 0.10232974
)
[34] => Array
(
[time] => 1779940800
[value] => 0.10220812
)
[35] => Array
(
[time] => 1779955200
[value] => 0.1020865
)
[36] => Array
(
[time] => 1779969600
[value] => 0.10196488
)
[37] => Array
(
[time] => 1779984000
[value] => 0.10184326
)
[38] => Array
(
[time] => 1779998400
[value] => 0.10172165
)
[39] => Array
(
[time] => 1780012800
[value] => 0.10160003
)
[40] => Array
(
[time] => 1780027200
[value] => 0.10147841
)
[41] => Array
(
[time] => 1780041600
[value] => 0.10135679
)
[42] => Array
(
[time] => 1780056000
[value] => 0.10123517
)
[43] => Array
(
[time] => 1780070400
[value] => 0.10111356
)
[44] => Array
(
[time] => 1780084800
[value] => 0.10099194
)
[45] => Array
(
[time] => 1780099200
[value] => 0.10087032
)
)
Array
(
[0] => Array
(
[time] => 1779451200
[value] => 0.10035744
)
[1] => Array
(
[time] => 1779465600
[value] => 0.10028158
)
[2] => Array
(
[time] => 1779480000
[value] => 0.10020572
)
[3] => Array
(
[time] => 1779494400
[value] => 0.10012985
)
[4] => Array
(
[time] => 1779508800
[value] => 0.10005399
)
[5] => Array
(
[time] => 1779523200
[value] => 0.09997813
)
[6] => Array
(
[time] => 1779537600
[value] => 0.09990226
)
[7] => Array
(
[time] => 1779552000
[value] => 0.0998264
)
[8] => Array
(
[time] => 1779566400
[value] => 0.09975053
)
[9] => Array
(
[time] => 1779580800
[value] => 0.09967467
)
[10] => Array
(
[time] => 1779595200
[value] => 0.09959881
)
[11] => Array
(
[time] => 1779609600
[value] => 0.09952294
)
[12] => Array
(
[time] => 1779624000
[value] => 0.09944708
)
[13] => Array
(
[time] => 1779638400
[value] => 0.09937122
)
[14] => Array
(
[time] => 1779652800
[value] => 0.09929535
)
[15] => Array
(
[time] => 1779667200
[value] => 0.09921949
)
[16] => Array
(
[time] => 1779681600
[value] => 0.09914363
)
[17] => Array
(
[time] => 1779696000
[value] => 0.09906776
)
[18] => Array
(
[time] => 1779710400
[value] => 0.0989919
)
[19] => Array
(
[time] => 1779724800
[value] => 0.09891603
)
[20] => Array
(
[time] => 1779739200
[value] => 0.09884017
)
[21] => Array
(
[time] => 1779753600
[value] => 0.09876431
)
[22] => Array
(
[time] => 1779768000
[value] => 0.09868844
)
[23] => Array
(
[time] => 1779782400
[value] => 0.09861258
)
[24] => Array
(
[time] => 1779796800
[value] => 0.09853672
)
[25] => Array
(
[time] => 1779811200
[value] => 0.09846085
)
[26] => Array
(
[time] => 1779825600
[value] => 0.09838499
)
[27] => Array
(
[time] => 1779840000
[value] => 0.09830912
)
[28] => Array
(
[time] => 1779854400
[value] => 0.09823326
)
[29] => Array
(
[time] => 1779868800
[value] => 0.0981574
)
[30] => Array
(
[time] => 1779883200
[value] => 0.09808153
)
[31] => Array
(
[time] => 1779897600
[value] => 0.09800567
)
[32] => Array
(
[time] => 1779912000
[value] => 0.09792981
)
[33] => Array
(
[time] => 1779926400
[value] => 0.09785394
)
[34] => Array
(
[time] => 1779940800
[value] => 0.09777808
)
[35] => Array
(
[time] => 1779955200
[value] => 0.09770222
)
[36] => Array
(
[time] => 1779969600
[value] => 0.09762635
)
[37] => Array
(
[time] => 1779984000
[value] => 0.09755049
)
[38] => Array
(
[time] => 1779998400
[value] => 0.09747462
)
[39] => Array
(
[time] => 1780012800
[value] => 0.09739876
)
[40] => Array
(
[time] => 1780027200
[value] => 0.0973229
)
[41] => Array
(
[time] => 1780041600
[value] => 0.09724703
)
[42] => Array
(
[time] => 1780056000
[value] => 0.09717117
)
[43] => Array
(
[time] => 1780070400
[value] => 0.09709531
)
[44] => Array
(
[time] => 1780084800
[value] => 0.09701944
)
[45] => Array
(
[time] => 1780099200
[value] => 0.09694358
)
)
Array
(
[time] => 1780099200
[price] => 0.10103
)
Array
(
[time] => 2026-05-06 08:00:00
[price] => 0.117
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-08 04:00:00
[price] => 0.10559
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-09 04:00:00
[price] => 0.11133
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-10 00:00:00
[price] => 0.10773
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-10 20:00:00
[price] => 0.11281
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-12 16:00:00
[price] => 0.10744
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-13 08:00:00
[price] => 0.11455
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-13 12:00:00
[price] => 0.10956
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-14 16:00:00
[price] => 0.11856
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-16 12:00:00
[price] => 0.10766
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-17 12:00:00
[price] => 0.11276
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-20 00:00:00
[price] => 0.10184
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-22 12:00:00
[price] => 0.10672
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-23 04:00:00
[price] => 0.09851
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-23 20:00:00
[price] => 0.10489
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-24 20:00:00
[price] => 0.10046
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-25 16:00:00
[price] => 0.10376
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-26 00:00:00
[price] => 0.10035
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-26 12:00:00
[price] => 0.1038
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-28 12:00:00
[price] => 0.09642
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-26 17:00:00
[price] => 0.10021
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-27 01:00:00
[price] => 0.10185
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-27 04:00:00
[price] => 0.1002
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-27 08:00:00
[price] => 0.10253
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-27 13:00:00
[price] => 0.10064
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-27 15:00:00
[price] => 0.10333
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-27 18:00:00
[price] => 0.1009
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-27 20:00:00
[price] => 0.10236
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-27 21:00:00
[price] => 0.09926
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-28 04:00:00
[price] => 0.097
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-28 10:00:00
[price] => 0.09881
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-28 14:00:00
[price] => 0.09642
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-28 21:00:00
[price] => 0.10048
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-29 04:00:00
[price] => 0.0986
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-29 08:00:00
[price] => 0.09987
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-29 14:00:00
[price] => 0.09737
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-29 15:00:00
[price] => 0.10118
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-29 19:00:00
[price] => 0.09915
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-30 03:00:00
[price] => 0.10174
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-30 04:00:00
[price] => 0.10013
[kind] => low
[label] => HL
)
0.10013
0.10174
0.10174
0.10013
0.389
0.4742
0.2748
0.187
0.3467
1
0.129
0.4919
0.3404
0.5993
0.4808
0.2055
0.0214
-0.0273
0.3333
0.3592
-0.3986
0.45
0.55
-1
11
1
0.626
0.2978
4.1286
0.5
2.1391
4.621
-0.3986
0
0.3765
0.46
0.185
0.4021
0.5336
0.5041
0.2055
-10.5237
2.7222
1
1
0
Market Structure Score: 0
Trend
Current Swing
Structure
Context
Context
Order Book Imbalance
Microstructure
| Start at | Closed at | Duration |
|---|---|---|
| 30 May 2026 05:54:04 |
31 May 2026 10:15:00 |
1 day |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1008 | 0.1001 | 0.103 | 3.14 | 0.07309 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.1001 - 0.1008 = -0.00070000000000001
Récompense (distance jusqu'au take profit):
E - TP = 0.1008 - 0.103 = -0.0022
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0022 / -0.00070000000000001 = 3.1429
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1121.17 | 100 | 11121.6149 | 11.21 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / -0.00070000000000001 = -11428.57
Taille de position USD = -11428.57 x 0.1008 = -1152
Donc, tu peux acheter -11428.57 avec un stoploss a 0.1001
Avec un position size USD de -1152$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -11428.57 x -0.00070000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -11428.57 x -0.0022 = 25.14
Si Take Profit atteint, tu gagneras 25.14$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.18 % | 24.47 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.69 % | 7.79 $ |
| PNL | PNL % |
|---|---|
| -7.79 $ | -0.69 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.2897 % | 185.73 % | 65 |
Array
(
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00017
[max_drawdown] => 0.00029999999999999
[rr_ratio] => 0.57
[high] => 0.10097000
[low] => 0.10050000
[mfe_pct] => 0.17
[mae_pct] => 0.3
[mfe_mae_ratio] => 0.57
[candles_analyzed] => 24
[start_at] => 2026-05-30T05:54:04-04:00
[end_at] => 2026-05-30T07:54:04-04:00
)
[long_term] => Array
(
[max_gain] => 0.00082
[max_drawdown] => 0.00029999999999999
[rr_ratio] => 2.73
[high] => 0.10162000
[low] => 0.10050000
[mfe_pct] => 0.81
[mae_pct] => 0.3
[mfe_mae_ratio] => 2.73
[candles_analyzed] => 84
[start_at] => 2026-05-30T05:54:04-04:00
[end_at] => 2026-05-30T12:54:04-04:00
)
[breakout] => Array
(
[high_before] => 0.10167000
[high_after] => 0.10150000
[low_before] => 0.10063000
[low_after] => 0.10050000
[is_new_high] =>
[is_new_low] =>
)
)
Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?