Short Trade on XLM (WedgePullback)
With 1180.12 XLM at 0.219$ per unit. Take profit: 0.1986 (9.32 %) & Stop Loss: 0.2257 (3.06 %)
Short Trade on XLM (WedgePullback)
With 1180.12 XLM at 0.219$ per unit. Take profit: 0.1986 (9.32 %) & Stop Loss: 0.2257 (3.06 %)
Position size of 258.4113 $
Take profit at 0.1986 (9.32 %)
and Stop Loss at 0.2257 (3.06 %)
| 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 rules_regime : bear_high rules_regime_5m : bear_low Score : 3 |
ml_regime : range_high rules_regime : bear_high rules_regime_4h : bear_high_confirmed tf_aligned : 1 02/06 18:04 |
| 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 | ↑ up | range | range | moderate | fading | compression | bull_high |
66%
|
02/06 20:00 |
| 1h | ↓ down | transition | bearish_transition | moderate | fading | compression | bear_high |
73%
|
02/06 21:00 |
| 15m | ↓ down | transition | bearish_transition | moderate | grind | compression | bear_high |
74%
|
02/06 21:00 |
| 5m | ↔ neutral | range | range | moderate | grind | compression | bear_medium |
69%
|
02/06 21:55 |
Indicators:
0.22533
144
0.2411
0.6497
0.3573
0.2439
0.45
0.2384
0.599
0.5167
0.3088
0.0187
0.5928
0.2263
-0.1812
-0.1337
0
-1.5245
-3.1403
0.5
0.5
-1
7
1
0.5122
0.4938
6.5262
0.65
0.2384
1.5558
-3.1403
0.6622
0.2373
0
-0.272
0.4434
0.3911
0.916
0.2263
-14.7667
4.32
1
0
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] => 1780315200
[price] => 0.24937
)
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] => 2026-05-29 14:00:00
[price] => 0.20045
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-29 19:00:00
[price] => 0.2465
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-29 20:00:00
[price] => 0.2305
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-30 03:00:00
[price] => 0.298
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-30 10:00:00
[price] => 0.23681
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-30 14:00:00
[price] => 0.25489
[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
)
0.21457
0.22533
0.22533
0.21457
0.6262
0.5763
0.3296
0.2303
0.4108
0.6906
0.403
0.5046
0.7084
0.288
0.3904
0.5001
-0.1038
0.0247
0.6667
-1.0634
0.2651
0.65
0.35
1
23
1
0.5394
0.3696
6.0389
0.6
0.6906
2.9805
0.2651
0.7278
0.3549
0.48
-0.3826
0.4307
0.3265
0
0.5001
-5.678
5.6795
1
0
1
Signaux confirmants (3)
| # | Heure | Entry | Δ |
|---|---|---|---|
| 1 | 18:18 | 0.21897000 | -0.014% |
| 2 | 19:06 | 0.21905000 | +0.023% |
| 3 | 19:29 | 0.21900000 | 0% |
Market Structure Score: 0
Trend
Current Swing
Structure
Context
Context
Order Book Imbalance
Microstructure
| Start at | Closed at | Duration |
|---|---|---|
| 02 Jun 2026 18:18:37 |
02 Jun 2026 20:10:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.219 | 0.2257 | 0.1986 | 3.04 | 0.1866 |
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 = 0.2257 - 0.219 = 0.0067
Récompense (distance jusqu'au take profit):
E - TP = 0.219 - 0.1986 = 0.0204
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0204 / 0.0067 = 3.0448
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 258.4113 | 100 | 1180.122 | 2.58 |
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 / 0.0067 = 1194.03
Taille de position USD = 1194.03 x 0.219 = 261.49
Donc, tu peux acheter 1194.03 avec un stoploss a 0.2257
Avec un position size USD de 261.49$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1194.03 x 0.0067 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1194.03 x 0.0204 = 24.36
Si Take Profit atteint, tu gagneras 24.36$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 9.32 % | 24.07 $ |
| SL % Target | SL $ Target |
|---|---|
| 3.06 % | 7.91 $ |
| PNL | PNL % |
|---|---|
| -7.91 $ | -3.06 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -3.9635 % | 129.55 % | 13 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1986
[entry_price] => 0.219
[stop_loss] => 0.22637
[rr_ratio] => 2.77
[sl_change_percentage] => 1.1
[closed_at] => 2026-06-03 00:10:00+00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1986
[entry_price] => 0.219
[stop_loss] => 0.22704
[rr_ratio] => 2.54
[sl_change_percentage] => 1.2
[closed_at] => 2026-06-03 00:10:00+00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1986
[entry_price] => 0.219
[stop_loss] => 0.22771
[rr_ratio] => 2.34
[sl_change_percentage] => 1.3
[closed_at] => 2026-06-03 00:15:00+00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00242
[max_drawdown] => 0.0096
[rr_ratio] => 0.25
[high] => 0.22860000
[low] => 0.21658000
[mfe_pct] => 1.11
[mae_pct] => 4.38
[mfe_mae_ratio] => 0.25
[candles_analyzed] => 24
[start_at] => 2026-06-02T18:18:37-04:00
[end_at] => 2026-06-02T20:18:37-04:00
)
[long_term] => Array
(
[max_gain] => 0.00242
[max_drawdown] => 0.00997
[rr_ratio] => 0.24
[high] => 0.22897000
[low] => 0.21658000
[mfe_pct] => 1.11
[mae_pct] => 4.55
[mfe_mae_ratio] => 0.24
[candles_analyzed] => 84
[start_at] => 2026-06-02T18:18:37-04:00
[end_at] => 2026-06-03T01:18:37-04:00
)
[breakout] => Array
(
[high_before] => 0.22472000
[high_after] => 0.22897000
[low_before] => 0.21490000
[low_after] => 0.21658000
[is_new_high] =>
[is_new_low] =>
)
)
Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?