Short Trade on ENA (WedgePullback)
With 4842.23 ENA at 0.106$ per unit. Take profit: 0.1014 (4.7 %) & Stop Loss: 0.1081 (1.6 %)
Short Trade on ENA (WedgePullback)
With 4842.23 ENA at 0.106$ per unit. Take profit: 0.1014 (4.7 %) & Stop Loss: 0.1081 (1.6 %)
Position size of 515.2137 $
Take profit at 0.1014 (4.7 %)
and Stop Loss at 0.1081 (1.6 %)
| Prediction 1 | Probability |
|---|---|
|
|
n/a |
| Prediction 2 | Probability |
|---|---|
| n/a |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | BTC Market Regime V2 |
|---|---|
|
ml_regime : bear_low_vol rules_regime : bear_low rules_regime_5m : range_low Score : 2 |
ml_regime : bear_medium rules_regime : bear_low rules_regime_5m : range_low tf_aligned : 16/05 21:01 |
| BTC Correlation | Coin Market Regime |
|---|---|
|
4H_regime : bear_high 1H_regime : bear_high 15m_regime : bear_low |
| TF | Direction | Phase | Structure | Strength | Momentum | Volatility | Regime | Tradability | Évalué à |
|---|---|---|---|---|---|---|---|---|---|
| 4h | ↔ neutral | range | range | moderate | grind | compression | bear_high |
62%
|
16/05 16:00 |
| 1h | ↓ down | transition | bearish_transition | moderate | fading | compression | bear_high |
71%
|
16/05 20:00 |
| 15m | ↓ down | transition | bearish_transition | moderate | grind | compression | bear_low |
60%
|
16/05 20:45 |
| 5m | ↓ down | range | range | moderate | grind | volatile_reversal | bear_low_confirmed |
37%
|
16/05 21:00 |
Indicators:
0.108
144
0.2077
0.5184
0.3816
0.192
0.5367
0.3766
0.6315
0.4936
0.2299
0.012
0.4923
0.0551
-0.1434
-0.2177
0
-1.5704
-5.4265
0.3
0.7
-1
15
1
0.6159
0.3187
5.1475
0.5
0.3766
1.9385
-5.4265
0.5322
0.2746
0.02
-0.3594
0.3536
0.4478
0.81
0.0551
-27.4453
1.6
1
0
1
0.917
0.917
Array
(
[0] => Array
(
[time] => 1777838400
[value] => 0.12911211
)
[1] => Array
(
[time] => 1777852800
[value] => 0.12913478
)
[2] => Array
(
[time] => 1777867200
[value] => 0.12915745
)
[3] => Array
(
[time] => 1777881600
[value] => 0.12918013
)
[4] => Array
(
[time] => 1777896000
[value] => 0.1292028
)
[5] => Array
(
[time] => 1777910400
[value] => 0.12922547
)
[6] => Array
(
[time] => 1777924800
[value] => 0.12924815
)
[7] => Array
(
[time] => 1777939200
[value] => 0.12927082
)
[8] => Array
(
[time] => 1777953600
[value] => 0.12929349
)
[9] => Array
(
[time] => 1777968000
[value] => 0.12931617
)
[10] => Array
(
[time] => 1777982400
[value] => 0.12933884
)
[11] => Array
(
[time] => 1777996800
[value] => 0.12936151
)
[12] => Array
(
[time] => 1778011200
[value] => 0.12938419
)
[13] => Array
(
[time] => 1778025600
[value] => 0.12940686
)
[14] => Array
(
[time] => 1778040000
[value] => 0.12942953
)
[15] => Array
(
[time] => 1778054400
[value] => 0.12945221
)
[16] => Array
(
[time] => 1778068800
[value] => 0.12947488
)
[17] => Array
(
[time] => 1778083200
[value] => 0.12949755
)
[18] => Array
(
[time] => 1778097600
[value] => 0.12952022
)
[19] => Array
(
[time] => 1778112000
[value] => 0.1295429
)
[20] => Array
(
[time] => 1778126400
[value] => 0.12956557
)
[21] => Array
(
[time] => 1778140800
[value] => 0.12958824
)
[22] => Array
(
[time] => 1778155200
[value] => 0.12961092
)
[23] => Array
(
[time] => 1778169600
[value] => 0.12963359
)
[24] => Array
(
[time] => 1778184000
[value] => 0.12965626
)
[25] => Array
(
[time] => 1778198400
[value] => 0.12967894
)
[26] => Array
(
[time] => 1778212800
[value] => 0.12970161
)
[27] => Array
(
[time] => 1778227200
[value] => 0.12972428
)
[28] => Array
(
[time] => 1778241600
[value] => 0.12974696
)
[29] => Array
(
[time] => 1778256000
[value] => 0.12976963
)
[30] => Array
(
[time] => 1778270400
[value] => 0.1297923
)
[31] => Array
(
[time] => 1778284800
[value] => 0.12981498
)
[32] => Array
(
[time] => 1778299200
[value] => 0.12983765
)
[33] => Array
(
[time] => 1778313600
[value] => 0.12986032
)
[34] => Array
(
[time] => 1778328000
[value] => 0.129883
)
[35] => Array
(
[time] => 1778342400
[value] => 0.12990567
)
[36] => Array
(
[time] => 1778356800
[value] => 0.12992834
)
[37] => Array
(
[time] => 1778371200
[value] => 0.12995101
)
[38] => Array
(
[time] => 1778385600
[value] => 0.12997369
)
[39] => Array
(
[time] => 1778400000
[value] => 0.12999636
)
[40] => Array
(
[time] => 1778414400
[value] => 0.13001903
)
[41] => Array
(
[time] => 1778428800
[value] => 0.13004171
)
[42] => Array
(
[time] => 1778443200
[value] => 0.13006438
)
[43] => Array
(
[time] => 1778457600
[value] => 0.13008705
)
[44] => Array
(
[time] => 1778472000
[value] => 0.13010973
)
[45] => Array
(
[time] => 1778486400
[value] => 0.1301324
)
[46] => Array
(
[time] => 1778500800
[value] => 0.13015507
)
[47] => Array
(
[time] => 1778515200
[value] => 0.13017775
)
[48] => Array
(
[time] => 1778529600
[value] => 0.13020042
)
[49] => Array
(
[time] => 1778544000
[value] => 0.13022309
)
[50] => Array
(
[time] => 1778558400
[value] => 0.13024577
)
[51] => Array
(
[time] => 1778572800
[value] => 0.13026844
)
[52] => Array
(
[time] => 1778587200
[value] => 0.13029111
)
[53] => Array
(
[time] => 1778601600
[value] => 0.13031379
)
[54] => Array
(
[time] => 1778616000
[value] => 0.13033646
)
[55] => Array
(
[time] => 1778630400
[value] => 0.13035913
)
[56] => Array
(
[time] => 1778644800
[value] => 0.1303818
)
[57] => Array
(
[time] => 1778659200
[value] => 0.13040448
)
[58] => Array
(
[time] => 1778673600
[value] => 0.13042715
)
[59] => Array
(
[time] => 1778688000
[value] => 0.13044982
)
[60] => Array
(
[time] => 1778702400
[value] => 0.1304725
)
[61] => Array
(
[time] => 1778716800
[value] => 0.13049517
)
[62] => Array
(
[time] => 1778731200
[value] => 0.13051784
)
[63] => Array
(
[time] => 1778745600
[value] => 0.13054052
)
[64] => Array
(
[time] => 1778760000
[value] => 0.13056319
)
[65] => Array
(
[time] => 1778774400
[value] => 0.13058586
)
[66] => Array
(
[time] => 1778788800
[value] => 0.13060854
)
[67] => Array
(
[time] => 1778803200
[value] => 0.13063121
)
[68] => Array
(
[time] => 1778817600
[value] => 0.13065388
)
[69] => Array
(
[time] => 1778832000
[value] => 0.13067656
)
[70] => Array
(
[time] => 1778846400
[value] => 0.13069923
)
[71] => Array
(
[time] => 1778860800
[value] => 0.1307219
)
[72] => Array
(
[time] => 1778875200
[value] => 0.13074457
)
[73] => Array
(
[time] => 1778889600
[value] => 0.13076725
)
[74] => Array
(
[time] => 1778904000
[value] => 0.13078992
)
[75] => Array
(
[time] => 1778918400
[value] => 0.13081259
)
[76] => Array
(
[time] => 1778932800
[value] => 0.13083527
)
[77] => Array
(
[time] => 1778947200
[value] => 0.13085794
)
[78] => Array
(
[time] => 1778961600
[value] => 0.13088061
)
)
Array
(
[0] => Array
(
[time] => 1777838400
[value] => 0.10129654
)
[1] => Array
(
[time] => 1777852800
[value] => 0.10157079
)
[2] => Array
(
[time] => 1777867200
[value] => 0.10184503
)
[3] => Array
(
[time] => 1777881600
[value] => 0.10211928
)
[4] => Array
(
[time] => 1777896000
[value] => 0.10239352
)
[5] => Array
(
[time] => 1777910400
[value] => 0.10266777
)
[6] => Array
(
[time] => 1777924800
[value] => 0.10294201
)
[7] => Array
(
[time] => 1777939200
[value] => 0.10321626
)
[8] => Array
(
[time] => 1777953600
[value] => 0.1034905
)
[9] => Array
(
[time] => 1777968000
[value] => 0.10376474
)
[10] => Array
(
[time] => 1777982400
[value] => 0.10403899
)
[11] => Array
(
[time] => 1777996800
[value] => 0.10431323
)
[12] => Array
(
[time] => 1778011200
[value] => 0.10458748
)
[13] => Array
(
[time] => 1778025600
[value] => 0.10486172
)
[14] => Array
(
[time] => 1778040000
[value] => 0.10513597
)
[15] => Array
(
[time] => 1778054400
[value] => 0.10541021
)
[16] => Array
(
[time] => 1778068800
[value] => 0.10568446
)
[17] => Array
(
[time] => 1778083200
[value] => 0.1059587
)
[18] => Array
(
[time] => 1778097600
[value] => 0.10623295
)
[19] => Array
(
[time] => 1778112000
[value] => 0.10650719
)
[20] => Array
(
[time] => 1778126400
[value] => 0.10678144
)
[21] => Array
(
[time] => 1778140800
[value] => 0.10705568
)
[22] => Array
(
[time] => 1778155200
[value] => 0.10732993
)
[23] => Array
(
[time] => 1778169600
[value] => 0.10760417
)
[24] => Array
(
[time] => 1778184000
[value] => 0.10787842
)
[25] => Array
(
[time] => 1778198400
[value] => 0.10815266
)
[26] => Array
(
[time] => 1778212800
[value] => 0.10842691
)
[27] => Array
(
[time] => 1778227200
[value] => 0.10870115
)
[28] => Array
(
[time] => 1778241600
[value] => 0.1089754
)
[29] => Array
(
[time] => 1778256000
[value] => 0.10924964
)
[30] => Array
(
[time] => 1778270400
[value] => 0.10952389
)
[31] => Array
(
[time] => 1778284800
[value] => 0.10979813
)
[32] => Array
(
[time] => 1778299200
[value] => 0.11007238
)
[33] => Array
(
[time] => 1778313600
[value] => 0.11034662
)
[34] => Array
(
[time] => 1778328000
[value] => 0.11062087
)
[35] => Array
(
[time] => 1778342400
[value] => 0.11089511
)
[36] => Array
(
[time] => 1778356800
[value] => 0.11116936
)
[37] => Array
(
[time] => 1778371200
[value] => 0.1114436
)
[38] => Array
(
[time] => 1778385600
[value] => 0.11171785
)
[39] => Array
(
[time] => 1778400000
[value] => 0.11199209
)
[40] => Array
(
[time] => 1778414400
[value] => 0.11226634
)
[41] => Array
(
[time] => 1778428800
[value] => 0.11254058
)
[42] => Array
(
[time] => 1778443200
[value] => 0.11281483
)
[43] => Array
(
[time] => 1778457600
[value] => 0.11308907
)
[44] => Array
(
[time] => 1778472000
[value] => 0.11336332
)
[45] => Array
(
[time] => 1778486400
[value] => 0.11363756
)
[46] => Array
(
[time] => 1778500800
[value] => 0.11391181
)
[47] => Array
(
[time] => 1778515200
[value] => 0.11418605
)
[48] => Array
(
[time] => 1778529600
[value] => 0.1144603
)
[49] => Array
(
[time] => 1778544000
[value] => 0.11473454
)
[50] => Array
(
[time] => 1778558400
[value] => 0.11500879
)
[51] => Array
(
[time] => 1778572800
[value] => 0.11528303
)
[52] => Array
(
[time] => 1778587200
[value] => 0.11555728
)
[53] => Array
(
[time] => 1778601600
[value] => 0.11583152
)
[54] => Array
(
[time] => 1778616000
[value] => 0.11610577
)
[55] => Array
(
[time] => 1778630400
[value] => 0.11638001
)
[56] => Array
(
[time] => 1778644800
[value] => 0.11665425
)
[57] => Array
(
[time] => 1778659200
[value] => 0.1169285
)
[58] => Array
(
[time] => 1778673600
[value] => 0.11720274
)
[59] => Array
(
[time] => 1778688000
[value] => 0.11747699
)
[60] => Array
(
[time] => 1778702400
[value] => 0.11775123
)
[61] => Array
(
[time] => 1778716800
[value] => 0.11802548
)
[62] => Array
(
[time] => 1778731200
[value] => 0.11829972
)
[63] => Array
(
[time] => 1778745600
[value] => 0.11857397
)
[64] => Array
(
[time] => 1778760000
[value] => 0.11884821
)
[65] => Array
(
[time] => 1778774400
[value] => 0.11912246
)
[66] => Array
(
[time] => 1778788800
[value] => 0.1193967
)
[67] => Array
(
[time] => 1778803200
[value] => 0.11967095
)
[68] => Array
(
[time] => 1778817600
[value] => 0.11994519
)
[69] => Array
(
[time] => 1778832000
[value] => 0.12021944
)
[70] => Array
(
[time] => 1778846400
[value] => 0.12049368
)
[71] => Array
(
[time] => 1778860800
[value] => 0.12076793
)
[72] => Array
(
[time] => 1778875200
[value] => 0.12104217
)
[73] => Array
(
[time] => 1778889600
[value] => 0.12131642
)
[74] => Array
(
[time] => 1778904000
[value] => 0.12159066
)
[75] => Array
(
[time] => 1778918400
[value] => 0.12186491
)
[76] => Array
(
[time] => 1778932800
[value] => 0.12213915
)
[77] => Array
(
[time] => 1778947200
[value] => 0.1224134
)
[78] => Array
(
[time] => 1778961600
[value] => 0.12268764
)
)
Array
(
[time] => 1778803200
[price] => 0.1194
)
Array
(
[time] => 2026-04-13 16:00:00
[price] => 0.1015
[kind] => high
[label] =>
)
Array
(
[time] => 2026-04-14 12:00:00
[price] => 0.0942
[kind] => low
[label] =>
)
Array
(
[time] => 2026-04-17 16:00:00
[price] => 0.1366
[kind] => high
[label] =>
)
Array
(
[time] => 2026-04-23 04:00:00
[price] => 0.1042
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-04-23 20:00:00
[price] => 0.1118
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-04-25 12:00:00
[price] => 0.1056
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-04-26 20:00:00
[price] => 0.1136
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-04-27 12:00:00
[price] => 0.1039
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-04-29 04:00:00
[price] => 0.1101
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-04-29 12:00:00
[price] => 0.0998
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-01 08:00:00
[price] => 0.1054
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-03 20:00:00
[price] => 0.0987
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-04 00:00:00
[price] => 0.1081
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-04 16:00:00
[price] => 0.0996
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-06 08:00:00
[price] => 0.1261
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-07 00:00:00
[price] => 0.1146
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-07 04:00:00
[price] => 0.1278
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-10 12:00:00
[price] => 0.1401
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-13 08:00:00
[price] => 0.1145
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-14 12:00:00
[price] => 0.1256
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-11 21:00:00
[price] => 0.1239
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-12 01:00:00
[price] => 0.1287
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-12 12:00:00
[price] => 0.1195
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-13 00:00:00
[price] => 0.1252
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-13 03:00:00
[price] => 0.1228
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-13 05:00:00
[price] => 0.1256
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-13 11:00:00
[price] => 0.1145
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-13 14:00:00
[price] => 0.1185
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-13 23:00:00
[price] => 0.1149
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-14 01:00:00
[price] => 0.1183
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-14 05:00:00
[price] => 0.1154
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-14 13:00:00
[price] => 0.1256
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-14 22:00:00
[price] => 0.1192
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-14 23:00:00
[price] => 0.1221
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-15 01:00:00
[price] => 0.1167
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-15 03:00:00
[price] => 0.12
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-15 11:00:00
[price] => 0.1097
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-15 14:00:00
[price] => 0.1128
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-16 06:00:00
[price] => 0.1051
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-16 16:00:00
[price] => 0.108
[kind] => high
[label] => LH
)
0.1051
0.108
0.108
0.1051
0.4377
0.5822
0.2915
0.2673
0.3113
0.4336
0.6234
0.5881
0.7071
0
0.5587
0.186
-0.3003
-0.1708
0
-2.4742
-4.02
0.5882
0.4118
1
38
1
0.4653
0.3437
5.7921
0.65
0.4336
2.5115
-4.02
0.5488
0.2154
0
-0.3847
0.4774
0.4342
0.8731
0.186
-13.0176
2.9743
1
0
1
Market Structure Score: 0
Trend
Current Swing
Structure
Context
Context
Order Book Imbalance
Microstructure
↑ Bid Wall (Support)
↓ Ask Wall (Resistance)
| Start at | Closed at | Duration |
|---|---|---|
| 16 May 2026 21:12:15 |
17 May 2026 05:55:00 |
8 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1064 | 0.1081 | 0.1014 | 2.94 | 0.08713 |
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 = 0.1081 - 0.1064 = 0.0017
Récompense (distance jusqu'au take profit):
E - TP = 0.1064 - 0.1014 = 0.005
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.005 / 0.0017 = 2.9412
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 515.2137 | 100 | 4842.234 | 5.15 |
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 / 0.0017 = 4705.88
Taille de position USD = 4705.88 x 0.1064 = 500.71
Donc, tu peux acheter 4705.88 avec un stoploss a 0.1081
Avec un position size USD de 500.71$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 4705.88 x 0.0017 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 4705.88 x 0.005 = 23.53
Si Take Profit atteint, tu gagneras 23.53$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 4.7 % | 24.21 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.6 % | 8.23 $ |
| PNL | PNL % |
|---|---|
| -8.23 $ | -1.60 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.5977 % | 100 % | 5 |
Array
(
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.001
[max_drawdown] => 0.00020000000000001
[rr_ratio] => 5
[high] => 0.10660000
[low] => 0.10540000
[mfe_pct] => 0.94
[mae_pct] => 0.19
[mfe_mae_ratio] => 5
[candles_analyzed] => 24
[start_at] => 2026-05-16T21:12:15-04:00
[end_at] => 2026-05-16T23:12:15-04:00
)
[long_term] => Array
(
[max_gain] => 0.001
[max_drawdown] => 0.0016
[rr_ratio] => 0.62
[high] => 0.10800000
[low] => 0.10540000
[mfe_pct] => 0.94
[mae_pct] => 1.5
[mfe_mae_ratio] => 0.62
[candles_analyzed] => 84
[start_at] => 2026-05-16T21:12:15-04:00
[end_at] => 2026-05-17T04:12:15-04:00
)
[breakout] => Array
(
[high_before] => 0.10780000
[high_after] => 0.10800000
[low_before] => 0.10590000
[low_after] => 0.10540000
[is_new_high] =>
[is_new_low] => 1
)
)
Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?