Short Trade on KAVA 18 Jul 2025 at 23:44:04
Take profit at 0.4214 (0.54 %) and Stop Loss at 0.4252 (0.35 %)
Short Trade on KAVA 18 Jul 2025 at 23:44:04
Take profit at 0.4214 (0.54 %) and Stop Loss at 0.4252 (0.35 %)
Position size of 2217.345 $
Take profit at 0.4214 (0.54 %) and Stop Loss at 0.4252 (0.35 %)
That's a 1.53 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.57 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.42 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.64172 |
Indicators:
117898
0.00320014
118275
0.64172
118418
-0.00146761
118245
118630
-0.00299632
118275
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 18 Jul 2025 23:44:04 |
19 Jul 2025 00:00:00 |
15 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.4237 | 0.4252 | 0.4214 | 1.53 | 0.0483 |
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 = 0.4252 - 0.4237 = 0.0015
Récompense (distance jusqu'au take profit):
E - TP = 0.4237 - 0.4214 = 0.0023
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0023 / 0.0015 = 1.5333
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2217.345 | 100 | 5233.2901 | 22.17 |
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 / 0.0015 = 5333.33
Taille de position USD = 5333.33 x 0.4237 = 2259.73
Donc, tu peux acheter 5333.33 avec un stoploss a 0.4252
Avec un position size USD de 2259.73$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 5333.33 x 0.0015 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 5333.33 x 0.0023 = 12.27
Si Take Profit atteint, tu gagneras 12.27$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.54 % | 12.04 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.35 % | 7.85 $ |
| PNL | PNL % |
|---|---|
| -7.85 $ | -0.35 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.3776 % | 106.67 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.4214
[entry_price] => 0.4237
[stop_loss] => 0.42535
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-19 00:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.4214
[entry_price] => 0.4237
[stop_loss] => 0.4255
[rr_ratio] => 1.28
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-19 00:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.4214
[entry_price] => 0.4237
[stop_loss] => 0.42565
[rr_ratio] => 1.18
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-19 00:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.4214
[entry_price] => 0.4237
[stop_loss] => 0.42595
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-19 00:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0011
[max_drawdown] => 0.0026
[rr_ratio] => 0.42
[high] => 0.42630000
[low] => 0.42260000
[mfe_pct] => 0.26
[mae_pct] => 0.61
[mfe_mae_ratio] => 0.42
[candles_analyzed] => 24
[start_at] => 2025-07-18T23:44:04-04:00
[end_at] => 2025-07-19T01:44:04-04:00
)
[long_term] => Array
(
[max_gain] => 0.0038
[max_drawdown] => 0.0026
[rr_ratio] => 1.46
[high] => 0.42630000
[low] => 0.41990000
[mfe_pct] => 0.9
[mae_pct] => 0.61
[mfe_mae_ratio] => 1.46
[candles_analyzed] => 72
[start_at] => 2025-07-18T23:44:04-04:00
[end_at] => 2025-07-19T05:44:04-04:00
)
[breakout] => Array
(
[high_before] => 0.42370000
[high_after] => 0.42630000
[low_before] => 0.41350000
[low_after] => 0.41990000
[is_new_high] =>
[is_new_low] =>
)
)