Short Trade on XLM (WedgePullback)
With 680.29 XLM at 0.209$ per unit. Take profit: 0.1741 (16.82 %) & Stop Loss: 0.2211 (5.64 %)
Short Trade on XLM (WedgePullback)
With 680.29 XLM at 0.209$ per unit. Take profit: 0.1741 (16.82 %) & Stop Loss: 0.2211 (5.64 %)
Position size of 142.418 $
Take profit at 0.1741 (16.82 %)
and Stop Loss at 0.2211 (5.64 %)
| 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_high rules_regime_5m : range_medium Score : 2 |
ml_regime : range_high rules_regime : bear_high_confirmed rules_regime_4h : bear_high_confirmed tf_aligned : 1 04/06 08:01 |
| BTC Correlation | Coin Market Regime |
|---|---|
|
4H_regime : bull_high 1H_regime : bear_high 15m_regime : bear_high |
| TF | Direction | Phase | Structure | Strength | Momentum | Volatility | Regime | Tradability | Évalué à |
|---|---|---|---|---|---|---|---|---|---|
| 4h | ↔ neutral | range | range | moderate | grind | compression | bull_high |
63%
|
04/06 08:00 |
| 1h | ↓ down | transition | bearish_transition | strong | explosive | compression | bear_high |
76%
|
04/06 11:00 |
| 15m | ↓ down | range | range | moderate | grind | compression | bear_high |
71%
|
04/06 12:15 |
| 5m | ↔ neutral | range | range | moderate | balanced | normal | range_high |
48%
|
04/06 12:30 |
Indicators:
0.2207
140
0.2943
0.8764
0.3712
0.2535
0.4675
0.6226
0.3602
0.3846
0.3481
0.1703
0.7637
0.1385
-0.0985
-0.0979
0
-0.5598
-2.0146
0.45
0.55
-1
10
1
0.493
0.9197
5.6453
0.75
0.6226
3.5147
-2.0146
0.3047
0.2482
0.06
-0.0986
0.5131
0.3843
0.8799
0.1385
-12.402
1.9936
1
1
1
0.08
0.08
Array
(
[0] => Array
(
[time] => 1779955200
[value] => 0.22404393
)
[1] => Array
(
[time] => 1779969600
[value] => 0.22697429
)
[2] => Array
(
[time] => 1779984000
[value] => 0.22990464
)
[3] => Array
(
[time] => 1779998400
[value] => 0.232835
)
[4] => Array
(
[time] => 1780012800
[value] => 0.23576536
)
[5] => Array
(
[time] => 1780027200
[value] => 0.23869571
)
[6] => Array
(
[time] => 1780041600
[value] => 0.24162607
)
[7] => Array
(
[time] => 1780056000
[value] => 0.24455643
)
[8] => Array
(
[time] => 1780070400
[value] => 0.24748679
)
[9] => Array
(
[time] => 1780084800
[value] => 0.25041714
)
[10] => Array
(
[time] => 1780099200
[value] => 0.2533475
)
[11] => Array
(
[time] => 1780113600
[value] => 0.25627786
)
[12] => Array
(
[time] => 1780128000
[value] => 0.25920821
)
[13] => Array
(
[time] => 1780142400
[value] => 0.26213857
)
[14] => Array
(
[time] => 1780156800
[value] => 0.26506893
)
[15] => Array
(
[time] => 1780171200
[value] => 0.26799929
)
[16] => Array
(
[time] => 1780185600
[value] => 0.27092964
)
[17] => Array
(
[time] => 1780200000
[value] => 0.27386
)
[18] => Array
(
[time] => 1780214400
[value] => 0.27679036
)
[19] => Array
(
[time] => 1780228800
[value] => 0.27972071
)
[20] => Array
(
[time] => 1780243200
[value] => 0.28265107
)
[21] => Array
(
[time] => 1780257600
[value] => 0.28558143
)
[22] => Array
(
[time] => 1780272000
[value] => 0.28851179
)
[23] => Array
(
[time] => 1780286400
[value] => 0.29144214
)
[24] => Array
(
[time] => 1780300800
[value] => 0.2943725
)
[25] => Array
(
[time] => 1780315200
[value] => 0.29730286
)
[26] => Array
(
[time] => 1780329600
[value] => 0.30023321
)
[27] => Array
(
[time] => 1780344000
[value] => 0.30316357
)
)
Array
(
[0] => Array
(
[time] => 1779955200
[value] => 0.17413027
)
[1] => Array
(
[time] => 1779969600
[value] => 0.17731505
)
[2] => Array
(
[time] => 1779984000
[value] => 0.18049982
)
[3] => Array
(
[time] => 1779998400
[value] => 0.18368459
)
[4] => Array
(
[time] => 1780012800
[value] => 0.18686937
)
[5] => Array
(
[time] => 1780027200
[value] => 0.19005414
)
[6] => Array
(
[time] => 1780041600
[value] => 0.19323892
)
[7] => Array
(
[time] => 1780056000
[value] => 0.19642369
)
[8] => Array
(
[time] => 1780070400
[value] => 0.19960847
)
[9] => Array
(
[time] => 1780084800
[value] => 0.20279324
)
[10] => Array
(
[time] => 1780099200
[value] => 0.20597802
)
[11] => Array
(
[time] => 1780113600
[value] => 0.20916279
)
[12] => Array
(
[time] => 1780128000
[value] => 0.21234757
)
[13] => Array
(
[time] => 1780142400
[value] => 0.21553234
)
[14] => Array
(
[time] => 1780156800
[value] => 0.21871712
)
[15] => Array
(
[time] => 1780171200
[value] => 0.22190189
)
[16] => Array
(
[time] => 1780185600
[value] => 0.22508667
)
[17] => Array
(
[time] => 1780200000
[value] => 0.22827144
)
[18] => Array
(
[time] => 1780214400
[value] => 0.23145622
)
[19] => Array
(
[time] => 1780228800
[value] => 0.23464099
)
[20] => Array
(
[time] => 1780243200
[value] => 0.23782577
)
[21] => Array
(
[time] => 1780257600
[value] => 0.24101054
)
[22] => Array
(
[time] => 1780272000
[value] => 0.24419532
)
[23] => Array
(
[time] => 1780286400
[value] => 0.24738009
)
[24] => Array
(
[time] => 1780300800
[value] => 0.25056486
)
[25] => Array
(
[time] => 1780315200
[value] => 0.25374964
)
[26] => Array
(
[time] => 1780329600
[value] => 0.25693441
)
[27] => Array
(
[time] => 1780344000
[value] => 0.26011919
)
)
Array
(
[time] => 1780372800
[price] => 0.22997
)
Array
(
[time] => 2026-05-10 16:00:00
[price] => 0.17391
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-11 00:00:00
[price] => 0.16447
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-11 16:00:00
[price] => 0.17112
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-13 12:00:00
[price] => 0.15763
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-14 16:00:00
[price] => 0.16865
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-20 12:00:00
[price] => 0.14186
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-22 12:00:00
[price] => 0.15053
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-23 08:00:00
[price] => 0.13992
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-25 08:00:00
[price] => 0.15372
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-27 04:00:00
[price] => 0.14608
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-27 16:00:00
[price] => 0.17036
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-27 20:00:00
[price] => 0.1596
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-28 08:00:00
[price] => 0.16513
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-28 16:00:00
[price] => 0.21731
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-29 00:00:00
[price] => 0.19585
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-29 08:00:00
[price] => 0.22388
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-29 12:00:00
[price] => 0.20045
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-30 00:00:00
[price] => 0.298
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-31 00:00:00
[price] => 0.22108
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-06-01 00:00:00
[price] => 0.2742
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-31 00:00:00
[price] => 0.22108
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-31 03:00:00
[price] => 0.24359
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-31 07:00:00
[price] => 0.22888
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-31 13:00:00
[price] => 0.26721
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-31 19:00:00
[price] => 0.24221
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-06-01 02:00:00
[price] => 0.2742
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-06-01 04:00:00
[price] => 0.25773
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-06-01 06:00:00
[price] => 0.27277
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-06-01 08:00:00
[price] => 0.25073
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-06-01 11:00:00
[price] => 0.26978
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-06-01 15:00:00
[price] => 0.24377
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-06-01 17:00:00
[price] => 0.2597
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-06-02 15:00:00
[price] => 0.21457
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-06-02 17:00:00
[price] => 0.22533
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-06-02 19:00:00
[price] => 0.2149
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-06-03 00:00:00
[price] => 0.22897
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-06-03 03:00:00
[price] => 0.21814
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-06-03 07:00:00
[price] => 0.23445
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-06-04 02:00:00
[price] => 0.19802
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-06-04 03:00:00
[price] => 0.2207
[kind] => high
[label] => LH
)
0.19802
0.2207
0.2207
0.19802
0.5367
0.5938
0.2998
0.2151
0.3692
0.6906
0.4338
0.4595
0.7084
0.096
0.4866
0.4343
-0.1448
-0.0252
0.3333
-1.1356
-0.5981
0.65
0.35
1
33
1
0.5699
0.3696
6.0389
0.65
0.6906
2.9805
-0.5981
0.7278
0.3612
0.16
-0.4468
0.3438
0.3198
0.8935
0.4343
-8.0099
6.1487
1
0
1
Market Structure Score: 0
Trend
Current Swing
Structure
Context
Context
Order Book Imbalance
Microstructure
| Start at | Closed at | Duration |
|---|---|---|
| 04 Jun 2026 08:42:21 |
16 Jun 2026 14:45:00 |
1 week |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2093 | 0.2211 | 0.1741 | 2.98 | 0.1778 |
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 = 0.2211 - 0.2093 = 0.0118
Récompense (distance jusqu'au take profit):
E - TP = 0.2093 - 0.1741 = 0.0352
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0352 / 0.0118 = 2.9831
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 142.418 | 100 | 680.2866 | 1.42 |
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 / 0.0118 = 677.97
Taille de position USD = 677.97 x 0.2093 = 141.9
Donc, tu peux acheter 677.97 avec un stoploss a 0.2211
Avec un position size USD de 141.9$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 677.97 x 0.0118 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 677.97 x 0.0352 = 23.86
Si Take Profit atteint, tu gagneras 23.86$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 16.82 % | 23.95 $ |
| SL % Target | SL $ Target |
|---|---|
| 5.64 % | 8.03 $ |
| PNL | PNL % |
|---|---|
| -8.03 $ | -5.64 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -5.915 % | 104.92 % | 60 |
Array
(
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00212
[max_drawdown] => 0.00379
[rr_ratio] => 0.56
[high] => 0.21309000
[low] => 0.20718000
[mfe_pct] => 1.01
[mae_pct] => 1.81
[mfe_mae_ratio] => 0.56
[candles_analyzed] => 24
[start_at] => 2026-06-04T08:42:21-04:00
[end_at] => 2026-06-04T10:42:21-04:00
)
[long_term] => Array
(
[max_gain] => 0.00529
[max_drawdown] => 0.00379
[rr_ratio] => 1.4
[high] => 0.21309000
[low] => 0.20401000
[mfe_pct] => 2.53
[mae_pct] => 1.81
[mfe_mae_ratio] => 1.4
[candles_analyzed] => 84
[start_at] => 2026-06-04T08:42:21-04:00
[end_at] => 2026-06-04T15:42:21-04:00
)
[breakout] => Array
(
[high_before] => 0.21013000
[high_after] => 0.21309000
[low_before] => 0.20390000
[low_after] => 0.20401000
[is_new_high] =>
[is_new_low] =>
)
)
Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?