Short Trade on BULLA 10 Aug 2025 at 22:43:56
Take profit at 0.08534 (1.59 %) and Stop Loss at 0.08764 (1.06 %)
Short Trade on BULLA 10 Aug 2025 at 22:43:56
Take profit at 0.08534 (1.59 %) and Stop Loss at 0.08764 (1.06 %)
Position size of 754.3335 $
Take profit at 0.08534 (1.59 %) and Stop Loss at 0.08764 (1.06 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.66 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.86 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.6 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.206483 |
Indicators:
119299
0.0197026
121650
0.206483
118510
0.0258055
121569
117181
0.0381315
121650
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 10 Aug 2025 22:43:56 |
10 Aug 2025 22:50:00 |
6 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.08672 | 0.08764 | 0.08534 | 1.5 | 0.06664 |
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 = 0.08764 - 0.08672 = 0.00091999999999999
Récompense (distance jusqu'au take profit):
E - TP = 0.08672 - 0.08534 = 0.00138
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00138 / 0.00091999999999999 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 754.3335 | 100 | 8698.4947 | 7.54 |
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 / 0.00091999999999999 = 8695.65
Taille de position USD = 8695.65 x 0.08672 = 754.09
Donc, tu peux acheter 8695.65 avec un stoploss a 0.08764
Avec un position size USD de 754.09$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8695.65 x 0.00091999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8695.65 x 0.00138 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.59 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.06 % | 8 $ |
| PNL | PNL % |
|---|---|
| 12 $ | 1.59 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| 0 % | 0 % | 0 |
Array
(
[2] => Array
(
[take_profit] => 0.08488
[stop_loss] => 0.08764
[rr_ratio] => 2
[closed_at] => 2025-08-10 23:20:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.08442
[stop_loss] => 0.08764
[rr_ratio] => 2.5
[closed_at] => 2025-08-10 23:20:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.08396
[stop_loss] => 0.08764
[rr_ratio] => 3
[closed_at] => 2025-08-11 03:00:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.0835
[stop_loss] => 0.08764
[rr_ratio] => 3.5
[closed_at] => 2025-08-11 03:00:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.08304
[stop_loss] => 0.08764
[rr_ratio] => 4
[closed_at] => 2025-08-11 04:20:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.08258
[stop_loss] => 0.08764
[rr_ratio] => 4.5
[closed_at] => 2025-08-11 04:25:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0026
[max_drawdown] => 0.00068
[rr_ratio] => 3.82
[high] => 0.08740000
[low] => 0.08412000
[mfe_pct] => 3
[mae_pct] => 0.78
[mfe_mae_ratio] => 3.82
[candles_analyzed] => 24
[start_at] => 2025-08-10T22:43:56-04:00
[end_at] => 2025-08-11T00:43:56-04:00
)
[long_term] => Array
(
[max_gain] => 0.00472
[max_drawdown] => 0.00068
[rr_ratio] => 6.94
[high] => 0.08740000
[low] => 0.08200000
[mfe_pct] => 5.44
[mae_pct] => 0.78
[mfe_mae_ratio] => 6.94
[candles_analyzed] => 84
[start_at] => 2025-08-10T22:43:56-04:00
[end_at] => 2025-08-11T05:43:56-04:00
)
[breakout] => Array
(
[high_before] => 0.08734000
[high_after] => 0.08740000
[low_before] => 0.08153000
[low_after] => 0.08229000
[is_new_high] =>
[is_new_low] =>
)
)