Short Trade on BANANA 14 Aug 2025 at 18:34:56
Take profit at 24.5191 (1.12 %) and Stop Loss at 24.984 (0.75 %)
Short Trade on BANANA 14 Aug 2025 at 18:34:56
Take profit at 24.5191 (1.12 %) and Stop Loss at 24.984 (0.75 %)
Position size of 1066.7723 $
Take profit at 24.5191 (1.12 %) and Stop Loss at 24.984 (0.75 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.98 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.96 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.99 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.673833 |
Indicators:
118018
0.00212468
118269
0.673833
119937
-0.0139043
118269
119967
-0.0141554
118269
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 14 Aug 2025 18:34:56 |
14 Aug 2025 18:45:00 |
10 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 24.798 | 24.984 | 24.5191 | 1.5 | 4.245 |
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 = 24.984 - 24.798 = 0.186
Récompense (distance jusqu'au take profit):
E - TP = 24.798 - 24.5191 = 0.2789
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.2789 / 0.186 = 1.4995
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1066.7723 | 100 | 43.0185 | 10.67 |
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 / 0.186 = 43.01
Taille de position USD = 43.01 x 24.798 = 1066.56
Donc, tu peux acheter 43.01 avec un stoploss a 24.984
Avec un position size USD de 1066.56$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 43.01 x 0.186 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 43.01 x 0.2789 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.12 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.75 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -0.75 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.5364 % | 204.83 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 24.5191
[entry_price] => 24.798
[stop_loss] => 25.0026
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-14 18:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 24.5191
[entry_price] => 24.798
[stop_loss] => 25.0212
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-14 18:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 24.5191
[entry_price] => 24.798
[stop_loss] => 25.0398
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-14 18:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 24.5191
[entry_price] => 24.798
[stop_loss] => 25.077
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-14 18:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.351
[max_drawdown] => 0.581
[rr_ratio] => 0.6
[high] => 25.37900000
[low] => 24.44700000
[mfe_pct] => 1.42
[mae_pct] => 2.34
[mfe_mae_ratio] => 0.6
[candles_analyzed] => 24
[start_at] => 2025-08-14T18:34:56-04:00
[end_at] => 2025-08-14T20:34:56-04:00
)
[long_term] => Array
(
[max_gain] => 0.354
[max_drawdown] => 0.581
[rr_ratio] => 0.61
[high] => 25.37900000
[low] => 24.44400000
[mfe_pct] => 1.43
[mae_pct] => 2.34
[mfe_mae_ratio] => 0.61
[candles_analyzed] => 84
[start_at] => 2025-08-14T18:34:56-04:00
[end_at] => 2025-08-15T01:34:56-04:00
)
[breakout] => Array
(
[high_before] => 24.83800000
[high_after] => 25.37900000
[low_before] => 24.00000000
[low_after] => 24.44400000
[is_new_high] =>
[is_new_low] =>
)
)