Long Trade on WLD (WedgePullback)
With 849.61 WLD at 0.263$ per unit. Take profit: 0.2914 (10.71 %) & Stop Loss: 0.2538 (3.57 %)
Long Trade on WLD (WedgePullback)
With 849.61 WLD at 0.263$ per unit. Take profit: 0.2914 (10.71 %) & Stop Loss: 0.2538 (3.57 %)
Position size of 223.617 $
Take profit at 0.2914 (10.71 %)
and Stop Loss at 0.2538 (3.57 %)
| Prediction 1 | Probability |
|---|---|
|
|
n/a |
| Prediction 2 | Probability |
|---|---|
| n/a |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | BTC Market Regime V2 |
|---|---|
|
ml_regime : range rules_regime : bear_medium rules_regime_5m : range_low Score : 0 |
ml_regime : range_high rules_regime : bull_high rules_regime_4h : bear_medium tf_aligned : 21/05 10:02 |
| BTC Correlation | Coin Market Regime |
|---|---|
|
4H_regime : bull_high_confirmed 1H_regime : bull_high 15m_regime : bull_high_confirmed |
| TF | Direction | Phase | Structure | Strength | Momentum | Volatility | Regime | Tradability | Évalué à |
|---|---|---|---|---|---|---|---|---|---|
| 4h | ↔ neutral | range | range | moderate | balanced | expansion | bull_high_confirmed |
75%
|
21/05 08:00 |
| 1h | ↑ up | transition | bullish_transition | strong | explosive | expansion_after_compression | bull_high_confirmed |
82%
|
21/05 09:00 |
| 15m | ↑ up | range | range | strong | fading | expansion_after_compression | bull_high_confirmed |
74%
|
21/05 09:45 |
| 5m | ↑ up | transition | bullish_transition | moderate | grind | expansion_after_compression | bull_medium_confirmed |
75%
|
21/05 09:55 |
Indicators:
0.2542
146
0.7177
0.7694
0.3706
0.2267
0.4883
0.6018
0.3601
0.554
0.6482
0.8327
0.7648
0.8897
0.1042
0.0877
1
1.6293
2.8632
0.45
0.55
1
5
1
0.5467
0.7598
5.3968
0.65
0.6018
3.2478
2.8632
0.1052
0.2701
0.94
0.1031
0.5238
0.575
0.9125
0.8897
-0.9528
7.6849
1
1
1
0.28
0.28
Array
(
[0] => Array
(
[time] => 1778500800
[value] => 0.28999624
)
[1] => Array
(
[time] => 1778515200
[value] => 0.28913069
)
[2] => Array
(
[time] => 1778529600
[value] => 0.28826514
)
[3] => Array
(
[time] => 1778544000
[value] => 0.2873996
)
[4] => Array
(
[time] => 1778558400
[value] => 0.28653405
)
[5] => Array
(
[time] => 1778572800
[value] => 0.2856685
)
[6] => Array
(
[time] => 1778587200
[value] => 0.28480296
)
[7] => Array
(
[time] => 1778601600
[value] => 0.28393741
)
[8] => Array
(
[time] => 1778616000
[value] => 0.28307186
)
[9] => Array
(
[time] => 1778630400
[value] => 0.28220631
)
[10] => Array
(
[time] => 1778644800
[value] => 0.28134077
)
[11] => Array
(
[time] => 1778659200
[value] => 0.28047522
)
[12] => Array
(
[time] => 1778673600
[value] => 0.27960967
)
[13] => Array
(
[time] => 1778688000
[value] => 0.27874412
)
[14] => Array
(
[time] => 1778702400
[value] => 0.27787858
)
[15] => Array
(
[time] => 1778716800
[value] => 0.27701303
)
[16] => Array
(
[time] => 1778731200
[value] => 0.27614748
)
[17] => Array
(
[time] => 1778745600
[value] => 0.27528193
)
[18] => Array
(
[time] => 1778760000
[value] => 0.27441639
)
[19] => Array
(
[time] => 1778774400
[value] => 0.27355084
)
[20] => Array
(
[time] => 1778788800
[value] => 0.27268529
)
[21] => Array
(
[time] => 1778803200
[value] => 0.27181974
)
[22] => Array
(
[time] => 1778817600
[value] => 0.2709542
)
[23] => Array
(
[time] => 1778832000
[value] => 0.27008865
)
[24] => Array
(
[time] => 1778846400
[value] => 0.2692231
)
[25] => Array
(
[time] => 1778860800
[value] => 0.26835756
)
[26] => Array
(
[time] => 1778875200
[value] => 0.26749201
)
[27] => Array
(
[time] => 1778889600
[value] => 0.26662646
)
[28] => Array
(
[time] => 1778904000
[value] => 0.26576091
)
[29] => Array
(
[time] => 1778918400
[value] => 0.26489537
)
[30] => Array
(
[time] => 1778932800
[value] => 0.26402982
)
[31] => Array
(
[time] => 1778947200
[value] => 0.26316427
)
[32] => Array
(
[time] => 1778961600
[value] => 0.26229872
)
[33] => Array
(
[time] => 1778976000
[value] => 0.26143318
)
[34] => Array
(
[time] => 1778990400
[value] => 0.26056763
)
[35] => Array
(
[time] => 1779004800
[value] => 0.25970208
)
[36] => Array
(
[time] => 1779019200
[value] => 0.25883653
)
[37] => Array
(
[time] => 1779033600
[value] => 0.25797099
)
[38] => Array
(
[time] => 1779048000
[value] => 0.25710544
)
[39] => Array
(
[time] => 1779062400
[value] => 0.25623989
)
[40] => Array
(
[time] => 1779076800
[value] => 0.25537435
)
[41] => Array
(
[time] => 1779091200
[value] => 0.2545088
)
[42] => Array
(
[time] => 1779105600
[value] => 0.25364325
)
[43] => Array
(
[time] => 1779120000
[value] => 0.2527777
)
[44] => Array
(
[time] => 1779134400
[value] => 0.25191216
)
[45] => Array
(
[time] => 1779148800
[value] => 0.25104661
)
[46] => Array
(
[time] => 1779163200
[value] => 0.25018106
)
[47] => Array
(
[time] => 1779177600
[value] => 0.24931551
)
[48] => Array
(
[time] => 1779192000
[value] => 0.24844997
)
[49] => Array
(
[time] => 1779206400
[value] => 0.24758442
)
[50] => Array
(
[time] => 1779220800
[value] => 0.24671887
)
[51] => Array
(
[time] => 1779235200
[value] => 0.24585332
)
[52] => Array
(
[time] => 1779249600
[value] => 0.24498778
)
[53] => Array
(
[time] => 1779264000
[value] => 0.24412223
)
[54] => Array
(
[time] => 1779278400
[value] => 0.24325668
)
[55] => Array
(
[time] => 1779292800
[value] => 0.24239113
)
[56] => Array
(
[time] => 1779307200
[value] => 0.24152559
)
[57] => Array
(
[time] => 1779321600
[value] => 0.24066004
)
[58] => Array
(
[time] => 1779336000
[value] => 0.23979449
)
[59] => Array
(
[time] => 1779350400
[value] => 0.23892895
)
)
Array
(
[0] => Array
(
[time] => 1778500800
[value] => 0.26093141
)
[1] => Array
(
[time] => 1778515200
[value] => 0.26030845
)
[2] => Array
(
[time] => 1778529600
[value] => 0.25968549
)
[3] => Array
(
[time] => 1778544000
[value] => 0.25906253
)
[4] => Array
(
[time] => 1778558400
[value] => 0.25843957
)
[5] => Array
(
[time] => 1778572800
[value] => 0.25781661
)
[6] => Array
(
[time] => 1778587200
[value] => 0.25719365
)
[7] => Array
(
[time] => 1778601600
[value] => 0.25657069
)
[8] => Array
(
[time] => 1778616000
[value] => 0.25594773
)
[9] => Array
(
[time] => 1778630400
[value] => 0.25532477
)
[10] => Array
(
[time] => 1778644800
[value] => 0.25470181
)
[11] => Array
(
[time] => 1778659200
[value] => 0.25407884
)
[12] => Array
(
[time] => 1778673600
[value] => 0.25345588
)
[13] => Array
(
[time] => 1778688000
[value] => 0.25283292
)
[14] => Array
(
[time] => 1778702400
[value] => 0.25220996
)
[15] => Array
(
[time] => 1778716800
[value] => 0.251587
)
[16] => Array
(
[time] => 1778731200
[value] => 0.25096404
)
[17] => Array
(
[time] => 1778745600
[value] => 0.25034108
)
[18] => Array
(
[time] => 1778760000
[value] => 0.24971812
)
[19] => Array
(
[time] => 1778774400
[value] => 0.24909516
)
[20] => Array
(
[time] => 1778788800
[value] => 0.2484722
)
[21] => Array
(
[time] => 1778803200
[value] => 0.24784924
)
[22] => Array
(
[time] => 1778817600
[value] => 0.24722628
)
[23] => Array
(
[time] => 1778832000
[value] => 0.24660332
)
[24] => Array
(
[time] => 1778846400
[value] => 0.24598036
)
[25] => Array
(
[time] => 1778860800
[value] => 0.2453574
)
[26] => Array
(
[time] => 1778875200
[value] => 0.24473444
)
[27] => Array
(
[time] => 1778889600
[value] => 0.24411148
)
[28] => Array
(
[time] => 1778904000
[value] => 0.24348852
)
[29] => Array
(
[time] => 1778918400
[value] => 0.24286556
)
[30] => Array
(
[time] => 1778932800
[value] => 0.2422426
)
[31] => Array
(
[time] => 1778947200
[value] => 0.24161964
)
[32] => Array
(
[time] => 1778961600
[value] => 0.24099668
)
[33] => Array
(
[time] => 1778976000
[value] => 0.24037372
)
[34] => Array
(
[time] => 1778990400
[value] => 0.23975076
)
[35] => Array
(
[time] => 1779004800
[value] => 0.2391278
)
[36] => Array
(
[time] => 1779019200
[value] => 0.23850484
)
[37] => Array
(
[time] => 1779033600
[value] => 0.23788188
)
[38] => Array
(
[time] => 1779048000
[value] => 0.23725892
)
[39] => Array
(
[time] => 1779062400
[value] => 0.23663596
)
[40] => Array
(
[time] => 1779076800
[value] => 0.236013
)
[41] => Array
(
[time] => 1779091200
[value] => 0.23539004
)
[42] => Array
(
[time] => 1779105600
[value] => 0.23476708
)
[43] => Array
(
[time] => 1779120000
[value] => 0.23414412
)
[44] => Array
(
[time] => 1779134400
[value] => 0.23352116
)
[45] => Array
(
[time] => 1779148800
[value] => 0.23289819
)
[46] => Array
(
[time] => 1779163200
[value] => 0.23227523
)
[47] => Array
(
[time] => 1779177600
[value] => 0.23165227
)
[48] => Array
(
[time] => 1779192000
[value] => 0.23102931
)
[49] => Array
(
[time] => 1779206400
[value] => 0.23040635
)
[50] => Array
(
[time] => 1779220800
[value] => 0.22978339
)
[51] => Array
(
[time] => 1779235200
[value] => 0.22916043
)
[52] => Array
(
[time] => 1779249600
[value] => 0.22853747
)
[53] => Array
(
[time] => 1779264000
[value] => 0.22791451
)
[54] => Array
(
[time] => 1779278400
[value] => 0.22729155
)
[55] => Array
(
[time] => 1779292800
[value] => 0.22666859
)
[56] => Array
(
[time] => 1779307200
[value] => 0.22604563
)
[57] => Array
(
[time] => 1779321600
[value] => 0.22542267
)
[58] => Array
(
[time] => 1779336000
[value] => 0.22479971
)
[59] => Array
(
[time] => 1779350400
[value] => 0.22417675
)
)
Array
(
[time] => 1779278400
[price] => 0.2504
)
Array
(
[time] => 2026-04-29 04:00:00
[price] => 0.2564
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-04-29 12:00:00
[price] => 0.2365
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-04-29 20:00:00
[price] => 0.2513
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-01 20:00:00
[price] => 0.2305
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-02 12:00:00
[price] => 0.2447
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-03 20:00:00
[price] => 0.2333
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-06 04:00:00
[price] => 0.2625
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-06 20:00:00
[price] => 0.2482
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-08 12:00:00
[price] => 0.2784
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-09 20:00:00
[price] => 0.2647
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-10 12:00:00
[price] => 0.2953
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-10 16:00:00
[price] => 0.2664
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-11 12:00:00
[price] => 0.2856
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-12 12:00:00
[price] => 0.2603
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-13 04:00:00
[price] => 0.2877
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-13 20:00:00
[price] => 0.2533
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-14 12:00:00
[price] => 0.2735
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-17 16:00:00
[price] => 0.2261
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-19 00:00:00
[price] => 0.25
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-20 08:00:00
[price] => 0.2355
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-17 17:00:00
[price] => 0.2433
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-17 19:00:00
[price] => 0.2261
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-17 23:00:00
[price] => 0.2375
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-18 06:00:00
[price] => 0.2303
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-18 09:00:00
[price] => 0.2372
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-18 11:00:00
[price] => 0.229
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-18 13:00:00
[price] => 0.2357
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-18 14:00:00
[price] => 0.2308
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-18 20:00:00
[price] => 0.2435
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-18 22:00:00
[price] => 0.2386
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-19 02:00:00
[price] => 0.25
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-19 19:00:00
[price] => 0.2361
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-20 01:00:00
[price] => 0.2408
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-20 09:00:00
[price] => 0.2355
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-20 12:00:00
[price] => 0.2565
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-20 14:00:00
[price] => 0.2468
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-20 17:00:00
[price] => 0.2528
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-20 19:00:00
[price] => 0.2452
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-21 05:00:00
[price] => 0.2678
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-21 07:00:00
[price] => 0.2542
[kind] => low
[label] => HL
)
0.2542
0.2678
0.2678
0.2542
0.4748
0.5537
0.2953
0.2223
0.355
0.6067
0.5559
0.3981
0.3219
0.808
0.485
0.5361
0.1433
0.0412
0.6667
1.9321
1.8047
0.45
0.55
-1
22
1
0.5555
0.3194
7.0229
0.6
0.6067
2.2407
1.8047
0.847
0.2367
0.68
0.3224
0.505
0.5323
0.1984
0.5361
-3.9834
4.6038
1
0
1
Market Structure Score: 0
Trend
Current Swing
Structure
Context
Context
Order Book Imbalance
Microstructure
↑ Bid Wall (Support)
| Start at | Closed at | Duration |
|---|---|---|
| 21 May 2026 10:10:55 |
22 May 2026 04:20:00 |
18 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2632 | 0.2538 | 0.2914 | 3 | 0.6049 |
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 = 0.2538 - 0.2632 = -0.0094
Récompense (distance jusqu'au take profit):
E - TP = 0.2632 - 0.2914 = -0.0282
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0282 / -0.0094 = 3
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 223.617 | 100 | 849.6086 | 2.24 |
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 / -0.0094 = -851.06
Taille de position USD = -851.06 x 0.2632 = -224
Donc, tu peux acheter -851.06 avec un stoploss a 0.2538
Avec un position size USD de -224$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -851.06 x -0.0094 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -851.06 x -0.0282 = 24
Si Take Profit atteint, tu gagneras 24$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 10.71 % | 23.96 $ |
| SL % Target | SL $ Target |
|---|---|
| 3.57 % | 7.99 $ |
| PNL | PNL % |
|---|---|
| 23.96 $ | 10.71 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.7356 % | 76.6 % | 5 |
Array
(
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0015
[max_drawdown] => 0.0072
[rr_ratio] => 0.21
[high] => 0.26470000
[low] => 0.25600000
[mfe_pct] => 0.57
[mae_pct] => 2.74
[mfe_mae_ratio] => 0.21
[candles_analyzed] => 24
[start_at] => 2026-05-21T10:10:55-04:00
[end_at] => 2026-05-21T12:10:55-04:00
)
[long_term] => Array
(
[max_gain] => 0.0154
[max_drawdown] => 0.0072
[rr_ratio] => 2.14
[high] => 0.27860000
[low] => 0.25600000
[mfe_pct] => 5.85
[mae_pct] => 2.74
[mfe_mae_ratio] => 2.14
[candles_analyzed] => 84
[start_at] => 2026-05-21T10:10:55-04:00
[end_at] => 2026-05-21T17:10:55-04:00
)
[breakout] => Array
(
[high_before] => 0.26480000
[high_after] => 0.27860000
[low_before] => 0.25420000
[low_after] => 0.25600000
[is_new_high] => 1
[is_new_low] =>
)
)
Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?